{ "cells": [ { "cell_type": "markdown", "id": "1f33f856-53fc-417f-8cd3-0ba6dddf2d2e", "metadata": {}, "source": [ "# 1.DATA CLEANING- DATA WRANGLING" ] }, { "cell_type": "code", "execution_count": 11, "id": "a2691b32-1ae1-4fe3-8f7e-f6aa6485589d", "metadata": {}, "outputs": [], "source": [ "#Importing libraries\n", "import pandas as pd \n", "import numpy as np\n", "import seaborn as sns\n", "from datetime import datetime\n", "import matplotlib.pyplot as plt\n", "\n", "from sklearn.preprocessing import StandardScaler\n", "from sklearn.preprocessing import MinMaxScaler\n", "from sklearn.cluster import KMeans\n", "pd.set_option('display.max_columns', None)\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 12, "id": "90ba90e9-53c6-4580-a976-f1b37abdfe5e", "metadata": {}, "outputs": [], "source": [ "#Loading,reading and storing dataset\n", "df = pd.read_csv('marketing_data.csv')" ] }, { "cell_type": "code", "execution_count": 13, "id": "88398c26-eea0-4bbb-b429-bf9d242fdd3e", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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IDYear_BirthEducationMarital_StatusIncomeKidhomeTeenhomeDt_CustomerRecencyMntWinesMntFruitsMntMeatProductsMntFishProductsMntSweetProductsMntGoldProdsNumDealsPurchasesNumWebPurchasesNumCatalogPurchasesNumStorePurchasesNumWebVisitsMonthAcceptedCmp3AcceptedCmp4AcceptedCmp5AcceptedCmp1AcceptedCmp2ResponseComplainCountry
018261970GraduationDivorced$84,835.00006/16/140189104379111189218144610000010SP
111961GraduationSingle$57,091.00006/15/1404645647037173750000110CA
2104761958GraduationMarried$67,267.00015/13/140134115915230132520000000US
313861967GraduationTogether$32,474.00115/11/1401001000110270000000AUS
453711989GraduationSingle$21,474.00104/8/1406162411034231271000010SP
.......................................................................................
2235101421976PhDDivorced$66,476.00013/7/1399372181264748782521140000000US
2236526319772n CycleMarried$31,056.00101/22/1399510133816110380000000SP
2237221976GraduationDivorced$46,310.001012/3/129918528815514261580000000SP
22385281978GraduationMarried$65,819.000011/29/129926738701149165631541030000000IND
223940701969PhDMarried$94,871.00029/1/1299169245531880144185470110010CA
\n", "

2240 rows × 28 columns

\n", "
" ], "text/plain": [ " ID Year_Birth Education Marital_Status Income Kidhome \\\n", "0 1826 1970 Graduation Divorced $84,835.00 0 \n", "1 1 1961 Graduation Single $57,091.00 0 \n", "2 10476 1958 Graduation Married $67,267.00 0 \n", "3 1386 1967 Graduation Together $32,474.00 1 \n", "4 5371 1989 Graduation Single $21,474.00 1 \n", "... ... ... ... ... ... ... \n", "2235 10142 1976 PhD Divorced $66,476.00 0 \n", "2236 5263 1977 2n Cycle Married $31,056.00 1 \n", "2237 22 1976 Graduation Divorced $46,310.00 1 \n", "2238 528 1978 Graduation Married $65,819.00 0 \n", "2239 4070 1969 PhD Married $94,871.00 0 \n", "\n", " Teenhome Dt_Customer Recency MntWines MntFruits MntMeatProducts \\\n", "0 0 6/16/14 0 189 104 379 \n", "1 0 6/15/14 0 464 5 64 \n", "2 1 5/13/14 0 134 11 59 \n", "3 1 5/11/14 0 10 0 1 \n", "4 0 4/8/14 0 6 16 24 \n", "... ... ... ... ... ... ... \n", "2235 1 3/7/13 99 372 18 126 \n", "2236 0 1/22/13 99 5 10 13 \n", "2237 0 12/3/12 99 185 2 88 \n", "2238 0 11/29/12 99 267 38 701 \n", "2239 2 9/1/12 99 169 24 553 \n", "\n", " MntFishProducts MntSweetProducts MntGoldProds NumDealsPurchases \\\n", "0 111 189 218 1 \n", "1 7 0 37 1 \n", "2 15 2 30 1 \n", "3 0 0 0 1 \n", "4 11 0 34 2 \n", "... ... ... ... ... \n", "2235 47 48 78 2 \n", "2236 3 8 16 1 \n", "2237 15 5 14 2 \n", "2238 149 165 63 1 \n", "2239 188 0 144 1 \n", "\n", " NumWebPurchases NumCatalogPurchases NumStorePurchases \\\n", "0 4 4 6 \n", "1 7 3 7 \n", "2 3 2 5 \n", "3 1 0 2 \n", "4 3 1 2 \n", "... ... ... ... \n", "2235 5 2 11 \n", "2236 1 0 3 \n", "2237 6 1 5 \n", "2238 5 4 10 \n", "2239 8 5 4 \n", "\n", " NumWebVisitsMonth AcceptedCmp3 AcceptedCmp4 AcceptedCmp5 \\\n", "0 1 0 0 0 \n", "1 5 0 0 0 \n", "2 2 0 0 0 \n", "3 7 0 0 0 \n", "4 7 1 0 0 \n", "... ... ... ... ... \n", "2235 4 0 0 0 \n", "2236 8 0 0 0 \n", "2237 8 0 0 0 \n", "2238 3 0 0 0 \n", "2239 7 0 1 1 \n", "\n", " AcceptedCmp1 AcceptedCmp2 Response Complain Country \n", "0 0 0 1 0 SP \n", "1 0 1 1 0 CA \n", "2 0 0 0 0 US \n", "3 0 0 0 0 AUS \n", "4 0 0 1 0 SP \n", "... ... ... ... ... ... \n", "2235 0 0 0 0 US \n", "2236 0 0 0 0 SP \n", "2237 0 0 0 0 SP \n", "2238 0 0 0 0 IND \n", "2239 0 0 1 0 CA \n", "\n", "[2240 rows x 28 columns]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Review of data fields\n", "df" ] }, { "cell_type": "markdown", "id": "f7e0f95d-90a1-4e83-89a7-12b56c817e28", "metadata": {}, "source": [ "### Understanding data \n", "ID=Customer's unique identifier \n", "Year_Birth=Customer's birth year \n", "Education=Customer's education level \n", "Marital_Status=Customer's marital status \n", "Income=Customer's yearly household income \n", "Kidhome=Number of children in customer's household \n", "Teenhome=Number of teenagers in customer's household \n", "Dt_Customer=Date of customer's enrollment with the company \n", "Recency=Number of days since customer's last purchase \n", "MntWines=Amount spent on wine in the last 2 years \n", "MntFruits=Amount spent on fruits in the last 2 years \n", "MntMeatProducts=Amount spent on meat in the last 2 years \n", "MntFishProducts=Amount spent on fish in the last 2 years \n", "MntSweetProducts=Amount spent on sweets in the last 2 years \n", "MntGoldProds=Amount spent on gold in the last 2 years \n", "NumDealsPurchases=Number of purchases made with a discount \n", "NumWebPurchases=Number of purchases made through the company's web site \n", "NumCatalogPurchases=Number of purchases made using a catalogue \n", "NumStorePurchases=Number of purchases made directly in stores \n", "NumWebVisitsMonth=Number of visits to company's web site in the last month \n", "AcceptedCmp3=1 if customer accepted the offer in the 3rd campaign, 0 otherwise \n", "AcceptedCmp4=1 if customer accepted the offer in the 4th campaign, 0 otherwise \n", "AcceptedCmp5=1 if customer accepted the offer in the 5th campaign, 0 otherwise \n", "AcceptedCmp1=1 if customer accepted the offer in the 1st campaign, 0 otherwise \n", "AcceptedCmp2=1 if customer accepted the offer in the 2nd campaign, 0 otherwise \n", "Response=1 if customer accepted the offer in the last campaign, 0 otherwise \n", "Complain=1 if customer complained in the last 2 years, 0 otherwise \n", "Country=Customer's location " ] }, { "cell_type": "code", "execution_count": 14, "id": "ea49b711-974d-4818-b8ef-084368866df8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(2240, 28)" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Show the DataFrame's shape\n", "df.shape" ] }, { "cell_type": "code", "execution_count": 15, "id": "31d8d8ae-54f6-4da1-8ea0-a487ee61f64d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['id', 'year_birth', 'education', 'marital_status', 'income', 'kidhome',\n", " 'teenhome', 'dt_customer', 'recency', 'mntwines', 'mntfruits',\n", " 'mntmeatproducts', 'mntfishproducts', 'mntsweetproducts',\n", " 'mntgoldprods', 'numdealspurchases', 'numwebpurchases',\n", " 'numcatalogpurchases', 'numstorepurchases', 'numwebvisitsmonth',\n", " 'acceptedcmp3', 'acceptedcmp4', 'acceptedcmp5', 'acceptedcmp1',\n", " 'acceptedcmp2', 'response', 'complain', 'country'],\n", " dtype='object')" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ " # Standardize column names\n", "df.columns=[e.lower().replace(' ', '') for e in df.columns] \n", "df.columns" ] }, { "cell_type": "code", "execution_count": 16, "id": "e14e9d65-aef1-4af2-b985-5bbf22642475", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 2240 entries, 0 to 2239\n", "Data columns (total 28 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 id 2240 non-null int64 \n", " 1 year_birth 2240 non-null int64 \n", " 2 education 2240 non-null object\n", " 3 marital_status 2240 non-null object\n", " 4 income 2216 non-null object\n", " 5 kidhome 2240 non-null int64 \n", " 6 teenhome 2240 non-null int64 \n", " 7 dt_customer 2240 non-null object\n", " 8 recency 2240 non-null int64 \n", " 9 mntwines 2240 non-null int64 \n", " 10 mntfruits 2240 non-null int64 \n", " 11 mntmeatproducts 2240 non-null int64 \n", " 12 mntfishproducts 2240 non-null int64 \n", " 13 mntsweetproducts 2240 non-null int64 \n", " 14 mntgoldprods 2240 non-null int64 \n", " 15 numdealspurchases 2240 non-null int64 \n", " 16 numwebpurchases 2240 non-null int64 \n", " 17 numcatalogpurchases 2240 non-null int64 \n", " 18 numstorepurchases 2240 non-null int64 \n", " 19 numwebvisitsmonth 2240 non-null int64 \n", " 20 acceptedcmp3 2240 non-null int64 \n", " 21 acceptedcmp4 2240 non-null int64 \n", " 22 acceptedcmp5 2240 non-null int64 \n", " 23 acceptedcmp1 2240 non-null int64 \n", " 24 acceptedcmp2 2240 non-null int64 \n", " 25 response 2240 non-null int64 \n", " 26 complain 2240 non-null int64 \n", " 27 country 2240 non-null object\n", "dtypes: int64(23), object(5)\n", "memory usage: 490.1+ KB\n" ] } ], "source": [ "df.info()" ] }, { "cell_type": "markdown", "id": "3c62d818-2336-447a-8742-375308c16cc3", "metadata": {}, "source": [ "We have 18 numerical variables and 10 categorical variables: Education, Marital_Status, AcceptedCmp1-AcceptedCmp5,Response, Country and Complain" ] }, { "cell_type": "code", "execution_count": 17, "id": "3f9ef235-a9f3-45e6-84c6-389e12cb7f93", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\danie\\AppData\\Local\\Temp\\ipykernel_26540\\1407881261.py:2: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n", " df['income'] = df['income'].str.replace('$', '')\n" ] } ], "source": [ "#Transformon income to numerical\n", "df['income'] = df['income'].str.replace('$', '')\n", "df['income'] = df['income'].str.replace(',', '').astype('float')" ] }, { "cell_type": "code", "execution_count": 18, "id": "e6c08255-969a-4081-b3ae-42cbca729e6a", "metadata": {}, "outputs": [], "source": [ "#Transformon AcceptedCmp1-5, Respomnse, Complain to object\n", "df['acceptedcmp1'] = df['acceptedcmp1'].astype(str)\n", "df['acceptedcmp2'] = df['acceptedcmp2'].astype(str)\n", "df['acceptedcmp3'] = df['acceptedcmp3'].astype(str)\n", "df['acceptedcmp4'] = df['acceptedcmp3'].astype(str)\n", "df['acceptedcmp5'] = df['acceptedcmp5'].astype(str)\n", "df['response'] = df['response'].astype(str)\n", "df['complain'] = df['complain'].astype(str)" ] }, { "cell_type": "code", "execution_count": 19, "id": "c18b45f4-8589-40ef-a3d7-0bcc7a5df448", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Valores únicos de la columna 'id':\n", "[ 1826 1 10476 ... 22 528 4070]\n", "\n", "Valores únicos de la columna 'year_birth':\n", "[1970 1961 1958 1967 1989 1954 1947 1979 1959 1981 1969 1977 1960 1966\n", " 1976 1965 1956 1975 1971 1986 1972 1974 1990 1987 1984 1968 1955 1983\n", " 1973 1978 1952 1962 1964 1982 1963 1957 1980 1945 1949 1948 1953 1946\n", " 1985 1992 1944 1951 1988 1950 1994 1993 1991 1893 1996 1995 1899 1943\n", " 1941 1940 1900]\n", "\n", "Valores únicos de la columna 'education':\n", "['Graduation' 'PhD' '2n Cycle' 'Master' 'Basic']\n", "\n", "Valores únicos de la columna 'marital_status':\n", "['Divorced' 'Single' 'Married' 'Together' 'Widow' 'YOLO' 'Alone' 'Absurd']\n", "\n", "Valores únicos de la columna 'income':\n", "[84835. 57091. 67267. ... 46310. 65819. 94871.]\n", "\n", "Valores únicos de la columna 'kidhome':\n", "[0 1 2]\n", "\n", "Valores únicos de la columna 'teenhome':\n", "[0 1 2]\n", "\n", "Valores únicos de la columna 'dt_customer':\n", "['6/16/14' '6/15/14' '5/13/14' '5/11/14' '4/8/14' '3/17/14' '1/29/14'\n", " '1/18/14' '1/11/14' '12/27/13' '12/9/13' '12/7/13' '10/16/13' '10/5/13'\n", " '9/11/13' '8/1/13' '7/23/13' '7/1/13' '5/28/13' '3/26/13' '3/15/13'\n", " '2/12/13' '11/23/12' '10/13/12' '9/14/12' '6/29/14' '5/31/14' '5/30/14'\n", " '4/27/14' '4/11/14' '10/29/13' '10/9/13' '5/10/13' '5/9/13' '4/25/13'\n", " '4/20/13' '3/30/13' '3/1/13' '2/14/13' '1/11/13' '1/3/13' '12/19/12'\n", " '12/15/12' '12/2/12' '9/17/12' '9/11/12' '5/12/14' '4/28/14' '3/29/14'\n", " '3/6/14' '3/4/14' '2/4/14' '2/3/14' '1/1/14' '12/12/13' '11/15/13'\n", " '9/20/13' '9/5/13' '8/31/13' '7/30/13' '7/27/13' '6/22/13' '1/5/13'\n", " '11/21/12' '11/11/12' '9/28/12' '9/27/12' '9/7/12' '8/13/12' '8/11/12'\n", " '8/2/12' '6/25/14' '5/28/14' '4/14/14' '3/10/14' '2/27/14' '2/7/14'\n", " '1/28/14' '11/17/13' '11/7/13' '10/17/13' '10/13/13' '10/12/13' '9/30/13'\n", " '7/3/13' '6/10/13' '5/29/13' '4/29/13' '3/10/13' '1/2/13' '11/2/12'\n", " '10/18/12' '10/1/12' '9/3/12' '8/26/12' '5/23/14' '5/17/14' '4/21/14'\n", " '3/23/14' '12/16/13' '11/26/13' '11/14/13' '11/6/13' '10/6/13' '9/27/13'\n", " '9/18/13' '9/9/13' '7/18/13' '7/8/13' '5/27/13' '3/5/13' '2/20/13'\n", " '1/12/13' '12/24/12' '11/19/12' '3/28/14' '2/24/14' '9/2/13' '8/20/13'\n", " '6/23/13' '5/5/13' '4/5/13' '1/4/13' '12/27/12' '11/10/12' '10/29/12'\n", " '9/22/12' '3/31/14' '3/21/14' '2/9/14' '9/23/13' '6/27/13' '3/28/13'\n", " '3/12/13' '1/16/13' '1/8/13' '12/29/12' '12/12/12' '11/25/12' '9/21/12'\n", " '9/9/12' '9/5/12' '8/17/12' '6/22/14' '5/1/14' '1/3/14' '10/11/13'\n", " '8/13/13' '6/9/13' '5/7/13' '10/2/12' '9/12/12' '3/19/14' '3/3/14'\n", " '2/22/14' '1/24/14' '12/4/13' '11/28/13' '11/5/13' '10/3/13' '8/9/13'\n", " '8/7/13' '7/17/13' '7/9/13' '6/11/13' '5/17/13' '3/23/13' '2/19/13'\n", " '1/19/13' '1/10/13' '1/1/13' '11/12/12' '5/18/14' '3/30/14' '1/30/14'\n", " '1/26/14' '1/22/14' '1/15/14' '12/13/13' '8/4/13' '5/1/13' '4/24/13'\n", " '4/3/13' '2/3/13' '11/16/12' '8/3/12' '4/18/14' '4/1/14' '3/18/14'\n", " '2/10/14' '11/23/13' '11/21/13' '10/2/13' '7/21/13' '6/18/13' '3/24/13'\n", " '12/6/12' '11/9/12' '2/14/14' '10/22/13' '10/4/13' '9/21/13' '8/5/13'\n", " '7/14/13' '7/4/13' '4/12/13' '4/10/13' '4/8/13' '3/31/13' '3/17/13'\n", " '1/21/13' '12/10/12' '9/24/12' '8/6/12' '6/18/14' '4/5/14' '12/21/13'\n", " '10/27/13' '10/21/13' '9/19/13' '9/4/13' '6/25/13' '4/27/13' '4/18/13'\n", " '12/30/12' '8/22/12' '8/8/12' '6/19/14' '4/20/14' '2/28/14' '12/17/13'\n", " '11/25/13' '10/28/13' '8/15/13' '7/5/13' '6/19/13' '6/16/13' '4/22/13'\n", " '3/19/13' '2/23/13' '2/15/13' '10/31/12' '10/7/12' '8/9/12' '5/6/14'\n", " '4/15/14' '3/5/14' '2/19/14' '9/7/13' '8/6/13' '7/25/13' '4/30/13'\n", " '9/10/12' '3/20/14' '9/28/13' '9/24/13' '2/16/13' '11/22/12' '9/18/12'\n", " '8/16/12' '6/5/14' '4/13/14' '4/10/14' '4/3/14' '2/12/14' '12/15/13'\n", " '10/30/13' '8/26/13' '2/2/13' '1/25/13' '11/17/12' '11/13/12' '11/7/12'\n", " '11/1/12' '10/16/12' '5/8/14' '3/2/14' '6/24/13' '6/13/13' '4/23/13'\n", " '4/15/13' '1/29/13' '10/30/12' '10/23/12' '4/17/14' '2/25/14' '12/11/13'\n", " '10/10/13' '5/20/13' '5/18/13' '4/7/13' '3/3/13' '12/7/12' '11/28/12'\n", " '10/27/12' '9/15/12' '6/17/14' '5/29/14' '3/1/14' '2/15/14' '12/23/13'\n", " '11/29/13' '10/25/13' '8/17/13' '6/6/13' '3/29/13' '9/23/12' '8/30/12'\n", " '8/1/12' '2/8/14' '1/25/14' '11/27/13' '10/19/13' '3/7/13' '2/28/13'\n", " '1/17/13' '11/20/12' '11/5/12' '11/3/12' '8/31/12' '8/12/12' '5/15/14'\n", " '4/12/14' '4/6/14' '2/6/14' '7/29/13' '6/29/13' '6/17/13' '6/8/13'\n", " '5/26/13' '11/8/12' '8/4/12' '4/30/14' '4/7/14' '3/12/14' '4/13/13'\n", " '2/13/13' '6/3/14' '3/25/14' '2/17/14' '2/5/14' '1/27/14' '1/14/14'\n", " '7/11/13' '6/2/13' '6/1/13' '5/4/13' '3/18/13' '12/3/12' '11/24/12'\n", " '10/26/12' '6/20/14' '1/19/14' '1/9/14' '12/29/13' '12/26/13' '12/8/13'\n", " '11/20/13' '8/23/13' '8/19/13' '7/24/13' '10/6/12' '8/18/12' '5/7/14'\n", " '11/9/13' '8/25/13' '5/16/13' '4/1/13' '3/27/13' '2/8/13' '9/20/12'\n", " '5/22/14' '12/30/13' '11/2/13' '8/21/13' '7/12/13' '6/28/13' '6/4/13'\n", " '5/31/13' '3/6/13' '2/18/13' '9/26/12' '8/19/12' '5/2/14' '4/29/14'\n", " '2/2/14' '1/5/14' '12/5/13' '11/18/13' '9/10/13' '8/3/13' '2/21/13'\n", " '2/10/13' '1/31/13' '12/9/12' '9/29/12' '6/9/14' '4/2/14' '3/24/14'\n", " '1/23/14' '9/16/13' '9/12/13' '7/15/13' '3/9/13' '2/9/13' '12/14/12'\n", " '10/17/12' '6/23/14' '6/12/14' '6/7/14' '4/9/14' '2/13/14' '12/6/13'\n", " '10/20/13' '6/20/13' '5/8/13' '3/11/13' '9/6/12' '3/9/14' '2/11/14'\n", " '10/8/13' '8/28/13' '7/6/13' '5/30/13' '5/22/13' '4/2/13' '3/20/13'\n", " '3/14/13' '1/22/13' '9/8/12' '8/25/12' '8/14/12' '11/19/13' '6/3/13'\n", " '12/21/12' '10/10/12' '8/7/12' '12/24/13' '12/14/13' '5/15/13' '5/6/13'\n", " '1/7/13' '11/29/12' '4/24/14' '3/8/14' '7/16/13' '2/22/13' '1/20/13'\n", " '1/13/13' '12/25/12' '12/11/12' '6/27/14' '3/16/14' '11/3/13' '9/25/13'\n", " '9/15/13' '9/1/13' '8/2/13' '8/27/12' '4/4/14' '9/22/13' '12/22/12'\n", " '12/16/12' '8/20/12' '1/7/14' '12/1/13' '9/26/13' '2/25/13' '10/24/12'\n", " '10/22/12' '7/31/12' '5/19/14' '5/3/14' '4/16/14' '12/31/13' '12/2/13'\n", " '7/22/13' '4/21/13' '4/11/13' '3/22/14' '2/6/13' '12/4/12' '11/6/12'\n", " '8/28/12' '7/2/13' '10/12/12' '5/16/14' '4/25/14' '11/13/13' '9/6/13'\n", " '11/18/12' '10/15/12' '6/14/14' '1/17/14' '2/7/13' '12/20/13' '9/13/13'\n", " '1/6/13' '5/26/14' '1/13/14' '8/8/13' '4/6/13' '2/26/14' '5/14/13'\n", " '8/24/12' '5/27/14' '2/23/14' '1/10/14' '7/19/13' '3/25/13' '2/11/13'\n", " '1/15/13' '12/5/12' '6/13/14' '6/2/14' '11/1/13' '8/16/13' '2/17/13'\n", " '2/4/13' '10/19/12' '6/26/14' '10/23/13' '4/14/13' '10/28/12' '10/1/13'\n", " '3/8/13' '11/14/12' '1/12/14' '11/4/13' '8/22/13' '6/21/13' '1/23/13'\n", " '10/21/12' '10/4/12' '1/31/14' '1/21/14' '12/28/13' '8/11/13' '5/13/13'\n", " '9/2/12' '6/24/14' '6/8/14' '5/24/14' '10/18/13' '9/17/13' '8/14/13'\n", " '7/20/13' '6/30/13' '5/11/13' '4/16/13' '5/25/14' '5/10/14' '5/4/14'\n", " '8/29/13' '3/22/13' '6/4/14' '5/23/13' '2/1/13' '2/16/14' '10/24/13'\n", " '3/2/13' '12/18/12' '11/4/12' '6/11/14' '6/14/13' '6/10/14' '5/5/14'\n", " '4/19/14' '8/18/13' '2/26/13' '8/30/13' '6/12/13' '5/12/13' '10/9/12'\n", " '11/10/13' '8/24/13' '9/4/12' '2/27/13' '1/6/14' '7/7/13' '11/26/12'\n", " '8/29/12' '5/2/13' '3/4/13' '1/27/13' '8/23/12' '10/14/13' '12/23/12'\n", " '12/1/12' '8/5/12' '8/27/13' '12/17/12' '6/21/14' '3/26/14' '11/22/13'\n", " '8/21/12' '4/22/14' '10/26/13' '5/9/14' '4/17/13' '3/21/13' '1/24/13'\n", " '12/28/12' '3/13/14' '2/1/14' '10/15/13' '1/14/13' '10/5/12' '7/13/13'\n", " '4/23/14' '2/18/14' '11/12/13' '8/12/13' '12/31/12' '6/28/14' '12/3/13'\n", " '12/26/12' '7/30/12' '1/2/14' '4/19/13' '1/26/13' '10/14/12' '9/30/12'\n", " '3/11/14' '9/14/13' '7/28/13' '5/19/13' '4/28/13' '1/9/13' '10/20/12'\n", " '7/31/13' '5/21/13' '9/25/12' '5/3/13' '12/8/12' '3/27/14' '12/18/13'\n", " '11/30/13' '8/10/13' '3/16/13' '11/30/12' '3/7/14' '12/19/13' '10/25/12'\n", " '12/25/13' '1/4/14' '11/8/13' '11/27/12' '7/26/13' '12/20/12' '10/11/12'\n", " '4/26/14' '12/22/13' '6/26/13' '5/24/13' '8/15/12' '12/10/13' '9/19/12'\n", " '8/10/12' '6/6/14' '5/25/13' '4/9/13' '9/1/12']\n", "\n", "Valores únicos de la columna 'recency':\n", "[ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23\n", " 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47\n", " 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71\n", " 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95\n", " 96 97 98 99]\n", "\n", "Valores únicos de la columna 'mntwines':\n", "[ 189 464 134 10 6 336 769 78 384 450 140 431 3 16\n", " 63 18 53 5 213 275 40 308 266 80 454 27 184 155\n", " 423 7 408 1 1285 71 1248 378 12 1200 709 94 4 539\n", " 13 670 158 283 496 292 46 34 167 318 522 67 28 58\n", " 2 229 14 622 362 38 1074 983 262 739 610 50 650 9\n", " 458 520 20 345 22 42 463 260 180 62 421 154 502 145\n", " 322 1099 890 863 448 399 85 97 35 315 738 179 381 247\n", " 711 30 288 212 173 604 482 531 230 33 784 600 168 493\n", " 29 835 1296 760 70 68 325 303 121 561 462 376 341 595\n", " 23 530 594 852 194 216 428 1092 559 606 11 588 316 279\n", " 1462 546 277 948 664 268 199 73 96 587 56 45 8 508\n", " 234 992 125 174 1478 1001 392 388 65 177 577 460 219 31\n", " 117 236 120 200 532 297 151 997 797 823 966 37 416 314\n", " 342 629 201 964 72 123 159 209 100 1170 387 357 912 625\n", " 420 641 712 465 39 514 565 667 66 129 185 1023 338 647\n", " 163 19 182 779 32 298 488 817 459 492 558 383 1043 400\n", " 691 783 43 777 402 144 840 88 74 26 15 162 1302 47\n", " 0 918 172 931 666 24 25 391 81 674 267 224 1239 412\n", " 1205 304 76 1004 584 422 269 613 113 261 856 452 658 451\n", " 395 688 1035 365 181 331 256 836 233 881 305 778 69 79\n", " 344 1184 490 1349 153 84 1000 52 301 519 238 620 572 380\n", " 443 252 796 410 507 55 327 397 105 1126 280 108 102 820\n", " 86 217 352 240 124 736 1006 580 112 227 290 284 656 953\n", " 626 547 795 895 899 178 265 349 848 962 347 426 48 1076\n", " 36 733 523 1083 98 99 138 509 527 340 434 208 438 1308\n", " 64 673 1050 787 833 605 800 861 161 359 324 370 245 631\n", " 1156 398 122 386 379 243 358 258 846 724 770 815 819 479\n", " 938 909 156 940 51 141 160 557 196 295 231 1230 91 1060\n", " 17 302 728 110 995 704 415 241 135 254 957 293 21 754\n", " 822 373 1171 371 801 244 562 707 356 743 235 393 721 896\n", " 879 367 693 816 483 1181 491 755 671 1009 972 598 139 702\n", " 239 183 771 83 170 59 1063 789 228 512 355 204 556 317\n", " 897 187 826 513 313 329 703 571 1218 478 1332 1032 296 635\n", " 294 913 731 281 489 551 471 176 534 768 652 1142 41 207\n", " 299 525 676 494 353 1253 521 977 603 967 273 425 1394 171\n", " 554 191 131 1073 157 226 186 1276 130 614 1288 563 95 210\n", " 306 505 758 824 980 526 690 202 792 545 109 382 132 750\n", " 223 57 407 90 61 82 220 517 615 480 752 741 456 143\n", " 375 1215 106 871 368 1193 441 87 437 965 510 574 332 642\n", " 354 390 476 627 165 806 763 205 1003 790 1148 984 941 799\n", " 406 128 377 919 198 215 1493 1090 536 1149 586 77 794 774\n", " 328 901 866 753 1048 960 888 654 499 576 44 735 548 206\n", " 611 713 593 1311 1166 1486 515 1492 533 575 726 445 1259 248\n", " 1111 710 1241 529 447 570 867 757 882 291 333 749 203 619\n", " 320 311 1103 404 411 211 446 374 221 1047 1206 274 889 146\n", " 1115 54 251 166 75 364 1016 432 270 722 516 350 403 218\n", " 560 729 1224 1121 503 1245 1459 621 430 979 116 853 93 127\n", " 689 686 630 466 910 389 1379 504 60 1067 264 101 581 952\n", " 925 457 1017 249 104 111 618 1039 107 225 440 1168 89 255\n", " 424 944 908 597 847 543 742 968 708 152 747 958 330 637\n", " 418 986 825 1298 1132 746 812 1315 307 860 1396 583 473 553\n", " 675 1324 582 1449 829 335 612 175 197 623 544 714 537 285\n", " 366 1252 934 518 734 1045 717 830 1020 680 524 1013 864 164\n", " 653 369 1012 133 188 811 639 444 372 928 272 92 555 351\n", " 263 982 495 312 737 751 346 684 309 115 136 756 1279 538\n", " 920 433 192 453 321 169]\n", "\n", "Valores únicos de la columna 'mntfruits':\n", "[104 5 11 0 16 130 80 26 4 82 10 6 1 9 2 21 174 7\n", " 42 12 22 45 169 3 35 36 51 8 50 37 76 17 107 105 81 53\n", " 96 86 32 19 193 63 83 28 49 34 69 40 48 13 20 148 73 23\n", " 103 64 61 142 97 117 134 60 25 30 153 58 33 57 14 24 18 106\n", " 88 133 99 68 72 38 129 93 74 27 185 15 79 162 71 56 168 98\n", " 44 172 54 140 194 91 183 151 197 178 189 102 155 115 77 90 114 39\n", " 59 199 154 123 108 137 66 31 43 120 84 29 112 46 160 159 65 111\n", " 147 143 161 144 47 181 89 62 41 132 67 138 55 184 122 75 70 85\n", " 149 152 100 164 101 126 87 92 166 124 190 131 163 127]\n", "\n", "Valores únicos de la columna 'mntmeatproducts':\n", "[ 379 64 59 1 24 411 252 11 102 535 61 441 8 12\n", " 57 2 5 3 76 68 23 73 300 37 171 256 80 706\n", " 21 9 449 112 6 349 189 17 204 115 33 816 249 179\n", " 38 460 4 981 13 7 43 407 257 26 18 140 16 431\n", " 22 518 184 309 125 28 653 780 356 154 528 333 559 348\n", " 44 20 536 202 132 459 50 45 292 547 30 41 67 322\n", " 232 520 215 159 217 69 100 471 469 192 849 560 14 350\n", " 444 206 223 380 311 466 751 785 113 291 83 678 786 207\n", " 56 273 214 592 503 228 161 88 128 48 86 240 60 96\n", " 898 29 99 77 694 81 403 91 218 46 71 422 31 873\n", " 111 168 10 89 269 293 282 241 53 19 15 70 172 137\n", " 142 40 79 594 278 569 271 170 242 452 456 84 538 732\n", " 548 850 259 651 391 90 298 1725 537 697 687 32 622 209\n", " 97 35 731 106 804 42 243 0 98 842 253 124 108 25\n", " 413 235 230 145 212 238 320 495 319 424 74 109 599 570\n", " 410 483 39 565 670 117 103 575 101 501 27 689 58 482\n", " 673 167 195 286 733 165 827 590 364 52 1622 104 211 49\n", " 711 75 373 216 119 267 279 54 389 177 160 480 812 545\n", " 303 144 323 797 194 127 180 134 649 497 352 400 396 107\n", " 199 549 399 573 297 558 136 62 522 420 314 186 92 572\n", " 63 388 239 915 367 95 157 143 890 72 82 754 372 114\n", " 196 36 761 512 835 131 133 499 417 853 555 175 255 625\n", " 219 181 164 925 690 509 51 153 120 270 231 562 655 595\n", " 141 78 345 151 951 130 514 845 247 288 66 65 47 317\n", " 222 601 523 272 193 779 254 376 155 353 152 792 510 860\n", " 818 561 631 203 93 929 470 447 201 974 426 753 110 263\n", " 617 178 305 708 182 156 250 158 921 234 398 280 85 746\n", " 445 613 384 500 385 401 162 118 265 275 34 174 185 274\n", " 221 368 123 476 169 704 639 281 1607 550 377 462 597 147\n", " 138 432 397 604 375 374 540 505 507 454 224 226 183 815\n", " 961 446 546 567 749 553 264 359 287 329 493 607 428 363\n", " 843 55 790 899 337 94 614 387 883 294 260 640 530 335\n", " 768 554 116 304 685 473 334 129 276 534 425 461 341 568\n", " 442 419 332 672 414 935 163 369 266 747 713 740 87 611\n", " 591 295 405 724 602 464 756 758 603 248 149 750 188 586\n", " 693 490 674 940 606 324 716 408 430 913 717 494 519 735\n", " 205 342 237 932 813 654 360 139 409 315 176 135 415 984\n", " 612 213 435 122 227 491 629 395 465 742 338 864 968 392\n", " 487 121 946 498 421 736 197 936 166 382 450 455 635 233\n", " 351 832 801 838 354 1582 757 650 774 208 126 701]\n", "\n", "Valores únicos de la columna 'mntfishproducts':\n", "[111 7 15 0 11 240 21 73 80 3 2 13 4 25 65 8 50 106\n", " 138 43 97 6 38 30 20 189 224 16 150 32 10 134 193 180 140 137\n", " 28 27 19 98 168 63 76 82 39 205 86 52 46 84 172 119 49 229\n", " 42 29 116 114 45 17 259 127 33 78 130 145 218 12 110 62 71 247\n", " 1 51 91 26 23 69 34 72 124 99 185 89 47 182 160 136 64 175\n", " 162 216 142 207 41 101 108 192 55 59 40 31 24 123 166 201 58 90\n", " 169 219 37 125 85 77 151 242 95 234 253 258 36 227 93 188 104 128\n", " 94 54 141 250 159 121 232 184 120 179 158 153 35 171 112 202 56 173\n", " 81 132 164 75 197 210 60 68 199 181 237 129 156 149 167 231 102 220\n", " 212 198 67 208 133 103 254 177 44 246 223 146 48 186 225 147 61 5\n", " 194 115]\n", "\n", "Valores únicos de la columna 'mntsweetproducts':\n", "[189 0 2 32 34 98 13 20 16 4 1 3 7 8 19 30 197 14\n", " 89 172 29 160 12 5 28 60 23 35 92 138 10 80 42 21 167 50\n", " 75 53 9 178 6 26 25 99 101 123 82 96 68 37 48 176 49 73\n", " 69 58 44 62 128 151 133 11 134 36 41 148 15 51 22 262 18 97\n", " 54 77 76 121 45 64 142 198 83 55 67 149 24 175 162 17 40 137\n", " 71 94 114 38 74 46 43 102 65 141 110 152 263 27 33 112 70 47\n", " 115 59 85 126 61 163 91 95 31 120 116 125 144 122 57 56 81 106\n", " 88 185 130 107 143 66 105 111 108 179 118 93 103 84 161 147 194 72\n", " 192 109 150 86 153 165 187 78 132 191 174 87 196 157 169 39 136 139\n", " 100 129 166 173 188 182 156 79 63 195 127 145 146 124 113]\n", "\n", "Valores únicos de la columna 'mntgoldprods':\n", "[218 37 30 0 34 43 65 7 5 26 4 102 32 321 22 2 10 23\n", " 44 3 197 17 20 29 16 172 14 45 12 6 9 125 27 1 13 8\n", " 66 262 11 15 54 129 39 35 21 40 97 67 90 31 145 42 33 62\n", " 41 24 143 50 47 109 168 28 150 91 53 128 48 148 80 25 51 191\n", " 108 107 69 121 147 57 71 64 63 61 55 181 135 160 56 86 119 19\n", " 112 153 130 18 58 133 152 95 83 88 134 38 68 76 140 79 99 52\n", " 116 138 166 59 241 157 114 219 231 110 183 205 74 36 177 192 246 127\n", " 122 96 49 77 362 72 144 120 141 248 82 196 139 46 93 190 75 174\n", " 170 182 78 169 106 60 92 233 146 89 198 176 171 242 111 158 101 124\n", " 118 232 227 203 81 142 117 200 84 85 224 207 154 216 70 151 73 132\n", " 94 223 137 100 247 163 126 103 149 162 185 204 173 245 195 161 98 131\n", " 187 215 159 249 210 180 115 178 229 155 291 199 175 165 123]\n", "\n", "Valores únicos de la columna 'numdealspurchases':\n", "[ 1 2 3 0 4 12 7 5 6 11 9 8 10 15 13]\n", "\n", "Valores únicos de la columna 'numwebpurchases':\n", "[ 4 7 3 1 10 2 6 5 25 8 9 0 11 27 23]\n", "\n", "Valores únicos de la columna 'numcatalogpurchases':\n", "[ 4 3 2 0 1 7 10 6 8 5 9 11 28 22]\n", "\n", "Valores únicos de la columna 'numstorepurchases':\n", "[ 6 7 5 2 3 9 10 0 8 4 13 12 1 11]\n", "\n", "Valores únicos de la columna 'numwebvisitsmonth':\n", "[ 1 5 2 7 6 4 8 3 9 0 17 13 10 14 19 20]\n", "\n", "Valores únicos de la columna 'acceptedcmp3':\n", "['0' '1']\n", "\n", "Valores únicos de la columna 'acceptedcmp4':\n", "['0' '1']\n", "\n", "Valores únicos de la columna 'acceptedcmp5':\n", "['0' '1']\n", "\n", "Valores únicos de la columna 'acceptedcmp1':\n", "['0' '1']\n", "\n", "Valores únicos de la columna 'acceptedcmp2':\n", "['0' '1']\n", "\n", "Valores únicos de la columna 'response':\n", "['1' '0']\n", "\n", "Valores únicos de la columna 'complain':\n", "['0' '1']\n", "\n", "Valores únicos de la columna 'country':\n", "['SP' 'CA' 'US' 'AUS' 'GER' 'IND' 'SA' 'ME']\n", "\n" ] } ], "source": [ "#Checking unique values of dataset\n", "for column in df.columns:\n", " unique_values = df[column].unique()\n", " print(f\"Valores únicos de la columna '{column}':\")\n", " print(unique_values)\n", " print()\n" ] }, { "cell_type": "code", "execution_count": 20, "id": "16798126-f5c1-4447-bb49-7ba198113082", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Checking for duplicate rows in the data to remove if any\n", "df.duplicated().sum()" ] }, { "cell_type": "code", "execution_count": 21, "id": "7043d53f-7468-42c8-b85e-020d56657c4f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "income 24\n", "id 0\n", "numdealspurchases 0\n", "complain 0\n", "response 0\n", "acceptedcmp2 0\n", "acceptedcmp1 0\n", "acceptedcmp5 0\n", "acceptedcmp4 0\n", "acceptedcmp3 0\n", "numwebvisitsmonth 0\n", "numstorepurchases 0\n", "numcatalogpurchases 0\n", "numwebpurchases 0\n", "mntgoldprods 0\n", "year_birth 0\n", "mntsweetproducts 0\n", "mntfishproducts 0\n", "mntmeatproducts 0\n", "mntfruits 0\n", "mntwines 0\n", "recency 0\n", "dt_customer 0\n", "teenhome 0\n", "kidhome 0\n", "marital_status 0\n", "education 0\n", "country 0\n", "dtype: int64" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "##hecking null values, I will remove columns have more than 75%\n", "df.isnull().sum().sort_values(ascending=False)\n" ] }, { "cell_type": "code", "execution_count": 22, "id": "d93015c0-68c0-4953-824e-48789b7df0f1", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\danie\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Plot Income variable to identify best strategy for imputation\n", "plt.figure(figsize=(8,4))\n", "sns.distplot(df['income'], kde=False, hist=True)\n", "plt.title('Distribution', size=16)\n", "plt.ylabel('count');" ] }, { "cell_type": "markdown", "id": "d10a4282-64e2-443c-b0b4-72082b8f1a0f", "metadata": {}, "source": [ "Findings:\n", "\n", "- Plot shows that most incomes are distributed between 0-100.000$ with a few outliers.\n", "\n", "Choosing the median as the imputation strategy is a common approach when dealing with skewed distributions or the presence of outliers. The median is robust to outliers because it is not affected by extreme values, unlike the mean. By using the median, the imputed values will be representative of the central tendency of the non-null income values and provide a more accurate estimation compared to the mean. This provides a better approximation of the actual values and helps maintain the integrity and quality of the data." ] }, { "cell_type": "code", "execution_count": 23, "id": "3ca63783-7dcb-4dea-8b39-ee07d5060955", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df['income'].plot(kind='box', figsize=(3,4), patch_artist=True)" ] }, { "cell_type": "code", "execution_count": 24, "id": "1218fbbd-ae61-4836-aa25-3d0b991b2d84", "metadata": {}, "outputs": [], "source": [ "#Impute null values in Income with median value (to avoid skewing of the mean due to outliers):\n", "df['income'] = df['income'].fillna(df['income'].median())" ] }, { "cell_type": "code", "execution_count": 25, "id": "41513250-b7eb-4688-bacb-048df0595dc0", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\danie\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(8,4))\n", "sns.distplot(df['income'], kde=False, hist=True)\n", "plt.title('Distribution', size=16)\n", "plt.ylabel('count');" ] }, { "cell_type": "markdown", "id": "4269fa2e-e7a4-4518-94fa-14ce1ab7c848", "metadata": {}, "source": [ "## DEALING WITH OUTLIERS" ] }, { "cell_type": "code", "execution_count": 26, "id": "88e303f5-6ca8-4251-837e-9f39edad9ef2", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#PLot outliers of numerical data\n", "\n", "plt.show()# select columns to plot\n", "df_to_plot = df.drop(columns=['id', 'acceptedcmp1', 'acceptedcmp2', 'acceptedcmp3', 'acceptedcmp4', 'acceptedcmp5', 'response', 'complain']).select_dtypes(include=np.number)\n", "\n", "# subplots\n", "df_to_plot.plot(subplots=True, layout=(4,4), kind='box', figsize=(12,14), patch_artist=True)\n", "plt.subplots_adjust(wspace=0.5);" ] }, { "cell_type": "markdown", "id": "d38d5561-6e2a-4021-ac85-d841da8ae6ef", "metadata": {}, "source": [ "Multiple features contain outliers (see boxplots below), but the only that likely indicate data entry errors are Year_Birth <= 1900" ] }, { "cell_type": "code", "execution_count": 27, "id": "77540a9e-e6ee-4252-97b8-dd70acde7e8e", "metadata": {}, "outputs": [ { "data": { "image/png": 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973/v9xzJycnIyclBSUkJKioqAAALFy5EXl4ev9kjus4EHKn6+nrce++92v1vzgMVFRVhw4YNaGtrw9KlS9He3o6xY8di3rx5A55zeuONNzBu3Lh+8frGpk2bsHjxYm3/zJkzB7w2i4iubTohhAj1IoaC1+uFoihQVRWxsbGhXs51remEiryXq0O9DD9Vj9+JyeN4CUIoDfY1yt/uEZHUGCkikhojRURSY6SISGqMFBFJjZEiIqkxUkQkNUaKiKTGSBGR1BgpIpIaI0VEUmOkiEhqjBQRSY2RIiKpMVJEJDVGioikxkgRkdQYKSKSGiNFRFJjpIhIaowUEUmNkSIiqTFSRCQ1RoqIpMZIEZHUGCkikhojRURSY6SISGqMFBFJjZEiIqkxUkQkNUaKiKTGSBGR1BgpIpIaI0VEUmOkiEhqjBQRSY2RIiKpMVJEJLWAI7Vv3z7k5+fDYrFAp9Nh+/btfvvb29tRXFwMi8WCyMhI5OTkwOVy9ZunpqYG3/ve9xAVFYXRo0djxowZOHv2rLbf4/HAbrdDURQoigK73Y7Ozs6AD5CIhreAI+Xz+ZCSkoLy8vJ++4QQKCgoQGtrK3bs2IGGhgbYbDZkZWXB5/Np42pqapCTk4Ps7GzU1dXhww8/xGOPPYYRI/7fcubOnQun0wmHwwGHwwGn0wm73X6Zh0lEw9XIQB+Qm5uL3NzcAfe5XC7U1taiqakJkyZNAgC8+uqrMJvN2Lx5MxYsWAAAWLJkCRYvXoynn35ae+yECRO0fz506BAcDgdqa2uRnp4OAFi3bh0yMjLQ3NyMpKSkQJdNRMNUUM9JdXd3AwAiIiK0bXq9HuHh4aiurgYAfPnllzhw4ADMZjMyMzMRFxeHe+65R9sPfP1OS1EULVAAMH36dCiKgv3791/wub1er9+NiIa/oEZq4sSJsNlsKCsrg8fjQU9PD1atWgW32422tjYAQGtrKwBg+fLlKCkpgcPhQGpqKu677z7t3JXb7YbZbO43v9lshtvtHvC5V65cqZ2/UhQFiYmJwTw0IgqRoEYqLCwMW7duxZEjR2A0GhEZGYm9e/ciNzcXer0eANDX1wcAWLRoEX784x9j6tSpWLNmDZKSkvDGG29oc+l0un7zCyEG3A4AZWVlUFVVux0/fjyYh0ZEIRLwOalLmTZtGpxOJ1RVRU9PD0wmE9LT05GWlgYAGDt2LADgtttu83tccnIyPvvsMwBAfHw82tvb+83d0dGBuLi4AZ/XYDDAYDAE81CISAJDdp2UoigwmUxwuVyor6/HrFmzAAA33XQTLBYLmpub/cYfOXIENpsNAJCRkQFVVVFXV6ftP3DgAFRVRWZm5lAtmYgkFPA7qa6uLrS0tGj3jx07BqfTCaPRCKvVisrKSphMJlitVjQ2NqK0tBQFBQXIzs4G8PXHuCeffBLPPvssUlJSMGXKFPz5z3/G4cOH8fbbbwP4+l1VTk4OSkpKUFFRAQBYuHAh8vLy+M0e0XUm4EjV19fj3nvv1e4vXboUAFBUVIQNGzagra0NS5cuRXt7O8aOHYt58+bhmWee8ZvjiSeewLlz57BkyRKcOnUKKSkp2LVrF8aPH6+N2bRpExYvXqzFbebMmQNem0XyuyEqHIaRI9Dd2xfqpQAADCNH4Iao8FAvgwZJJ4QQoV7EUPB6vVAUBaqqIjY2NtTLue6d6DwLj6/nsh/f8mUXntjixItzpuBWc/QVreWGqHCMGz3qiuagKzfY12jQT5wTDWTc6FFBCcOt5mhMHqcEYUU0XPAHxkQkNUaKiKTGSBGR1BgpIpIaI0VEUmOkiEhqjBQRSY2RIiKpMVJEJDVGioikxkgRkdQYKSKSGiNFRFJjpIhIaowUEUmNkSIiqTFSRCQ1RoqIpMZIEZHUGCkikhojRURSY6SISGqMFBFJjZEiIqkxUkQkNUaKiKTGSBGR1BgpIpIaI0VEUmOkiEhqjBQRSY2RIiKpMVJEJDVGioikxkgRkdQYKSKSGiNFRFJjpIhIagFHat++fcjPz4fFYoFOp8P27dv99re3t6O4uBgWiwWRkZHIycmBy+XyGzNjxgzodDq/2w9/+EO/MR6PB3a7HYqiQFEU2O12dHZ2BnyARDS8BRwpn8+HlJQUlJeX99snhEBBQQFaW1uxY8cONDQ0wGazISsrCz6fz29sSUkJ2tratFtFRYXf/rlz58LpdMLhcMDhcMDpdMJutwe6XCIa5kYG+oDc3Fzk5uYOuM/lcqG2thZNTU2YNGkSAODVV1+F2WzG5s2bsWDBAm1sZGQk4uPjB5zn0KFDcDgcqK2tRXp6OgBg3bp1yMjIQHNzM5KSkgJdNhENU0E9J9Xd3Q0AiIiI0Lbp9XqEh4ejurrab+ymTZtw4403YtKkSfjFL36B06dPa/tqamqgKIoWKACYPn06FEXB/v37L/jcXq/X70ZEw19QIzVx4kTYbDaUlZXB4/Ggp6cHq1atgtvtRltbmzausLAQmzdvxt69e/HMM89g69atmD17trbf7XbDbDb3m99sNsPtdg/43CtXrtTOXymKgsTExGAeGhGFSMAf9y4mLCwMW7duxfz582E0GqHX65GVldXv42FJSYn2z5MnT8aECROQlpaGf//730hNTQUA6HS6fvMLIQbcDgBlZWVYunSpdt/r9TJURNeAoEYKAKZNmwan0wlVVdHT0wOTyYT09HSkpaVd8DGpqakICwuDy+VCamoq4uPj0d7e3m9cR0cH4uLiBpzDYDDAYDAE7TiISA5Ddp2UoigwmUxwuVyor6/HrFmzLjj2448/xldffYWxY8cCADIyMqCqKurq6rQxBw4cgKqqyMzMHKolE5GEAn4n1dXVhZaWFu3+sWPH4HQ6YTQaYbVaUVlZCZPJBKvVisbGRpSWlqKgoADZ2dkAgKNHj2LTpk144IEHcOONN+LgwYP4+c9/jqlTp+K73/0uACA5ORk5OTkoKSnRLk1YuHAh8vLy+M0e0fVGBGjPnj0CQL9bUVGREEKItWvXioSEBBEWFiasVqtYtmyZ6O7u1h7/2WefibvvvlsYjUYRHh4uxo8fLxYvXixOnjzp9zwnT54UhYWFIiYmRsTExIjCwkLh8XgGvU5VVQUAoapqoIdIEmr8vFPYnqoSjZ93hnopFCSDfY3qhBAihI0cMl6vF4qiQFVVxMbGhno5dIWaTqjIe7kaVY/ficnjlFAvh4JgsK9R/naPiKTGSBGR1BgpIpIaI0VEUmOkiEhqjBQRSY2RIiKpMVJEJDVGioikxkgRkdQYKSKSGiNFRFJjpIhIaowUEUmNkSIiqTFSRCQ1RoqIpMZIEZHUGCkikhojRURSY6SISGqMFBFJjZEiIqkxUkQkNUaKiKTGSBGR1BgpIpIaI0VEUmOkiEhqjBQRSY2RIiKpMVJEJDVGioikxkgRkdQYKSKSGiNFRFJjpIhIaowUEUmNkSIiqQUcqX379iE/Px8WiwU6nQ7bt2/329/e3o7i4mJYLBZERkYiJycHLpdrwLmEEMjNzR1wHo/HA7vdDkVRoCgK7HY7Ojs7A10uEQ1zAUfK5/MhJSUF5eXl/fYJIVBQUIDW1lbs2LEDDQ0NsNlsyMrKgs/n6zf+xRdfhE6nG/B55s6dC6fTCYfDAYfDAafTCbvdHuhyiWi4E1cAgNi2bZt2v7m5WQAQTU1N2rbe3l5hNBrFunXr/B7rdDpFQkKCaGtr6zfPwYMHBQBRW1urbaupqREAxOHDhwe1NlVVBQChqurlHRxJpfHzTmF7qko0ft4Z6qVQkAz2NToymMHr7u4GAERERGjb9Ho9wsPDUV1djQULFgAAzpw5gx/96EcoLy9HfHx8v3lqamqgKArS09O1bdOnT4eiKNi/fz+SkpIGfO5vnh8AvF5v0I6Lht7ZnvM42tF1wf0tX3b5/e/FjDdFY1S4Pmhro9AKaqQmTpwIm82GsrIyVFRUICoqCqtXr4bb7UZbW5s2bsmSJcjMzMSsWbMGnMftdsNsNvfbbjab4Xa7B3zMypUrsWLFiuAcCF11Rzu6kPdy9SXHPbHFeckxVY/ficnjlCCsimQQ1EiFhYVh69atmD9/PoxGI/R6PbKyspCbm6uNeeedd7B79240NDRcdK6BzlUJIS54DqusrAxLly7V7nu9XiQmJl7mkdDVNt4UjarH77zg/nNfncfnnrNIuGEUIsIu/i5pvCk62MujEApqpABg2rRpcDqdUFUVPT09MJlMSE9PR1paGgBg9+7dOHr0KEaPHu33uAcffBB33XUX9u7di/j4eLS3t/ebu6OjA3FxcQM+r8FggMFgCPbh0FUyKlx/yXc/aTddnbWQXIbsOilFUWAymeByuVBfX699tHv66afx3//+F06nU7sBwJo1a7B+/XoAQEZGBlRVRV1dnTbfgQMHoKoqMjMzh2rJRCShgN9JdXV1oaWlRbt/7NgxOJ1OGI1GWK1WVFZWwmQywWq1orGxEaWlpSgoKEB2djYAID4+fsCT5VarFTfffDMAIDk5GTk5OSgpKUFFRQUAYOHChcjLyxvwpDkRXcMC/dpwz549AkC/W1FRkRBCiLVr14qEhAQRFhYmrFarWLZsmeju7r7onPjWJQhCCHHy5ElRWFgoYmJiRExMjCgsLBQej2fQ6+QlCERyG+xrVCeEEKFL5NDxer1QFAWqqiI2NjbUyyGibxnsa5S/3SMiqTFSRCQ1RoqIpMZIEZHUGCkikhojRURSC/rPYmTxzZUV/GsIRHL65rV5qaugrtlInT59GgD4I2MiyZ0+fRqKcuHfbV6zF3P29fXhiy++QExMzAX/cgINH9/8VYvjx4/z4txrhBACp0+fhsViwYgRFz7zdM1Giq4t/AXB9YsnzolIaowUEUmNkaJhwWAw4Nlnn+UfNrwO8ZwUEUmN76SISGqMFBFJjZEiIqkxUkQkNUaKhqXi4mIUFBRcdMyMGTPwxBNPDNn8dHVcs7/dI/rb3/6GsLCwi4755JNPcPPNN6OhoQFTpky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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Remove rows where Year_Birth <= 1900\n", "df = df[df['year_birth'] > 1900].reset_index(drop=True)\n", "\n", "plt.figure(figsize=(3,4))\n", "df['year_birth'].plot(kind='box', patch_artist=True);\n" ] }, { "cell_type": "markdown", "id": "31451241-6e75-442c-b6c8-4df97649d83b", "metadata": {}, "source": [ "## Outliers Income column" ] }, { "cell_type": "markdown", "id": "8f021b11-f890-47b4-8700-be67b0ad309c", "metadata": {}, "source": [ "We identify Income outliers and then exclude them from the data frame" ] }, { "cell_type": "code", "execution_count": 28, "id": "69de6481-93b3-492f-9492-c25085ca8017", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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idyear_birtheducationmarital_statusincomekidhometeenhomedt_customerrecencymntwinesmntfruitsmntmeatproductsmntfishproductsmntsweetproductsmntgoldprodsnumdealspurchasesnumwebpurchasesnumcatalogpurchasesnumstorepurchasesnumwebvisitsmonthacceptedcmp3acceptedcmp4acceptedcmp5acceptedcmp1acceptedcmp2responsecomplaincountry
32549311977GraduationTogether157146.0004/29/13131017252110028010000000SA
49715011982PhDMarried160803.0008/4/122155161622173415028100000000US
52694321977GraduationTogether666666.0106/2/1323914188112431360000000SA
73015031976PhDTogether162397.0116/3/133185116212000110000000SP
85153361971MasterTogether157733.0106/4/13373919208010110000000SP
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" ], "text/plain": [ " id year_birth education marital_status income kidhome teenhome \\\n", "325 4931 1977 Graduation Together 157146.0 0 0 \n", "497 1501 1982 PhD Married 160803.0 0 0 \n", "526 9432 1977 Graduation Together 666666.0 1 0 \n", "730 1503 1976 PhD Together 162397.0 1 1 \n", "851 5336 1971 Master Together 157733.0 1 0 \n", "\n", " dt_customer recency mntwines mntfruits mntmeatproducts \\\n", "325 4/29/13 13 1 0 1725 \n", "497 8/4/12 21 55 16 1622 \n", "526 6/2/13 23 9 14 18 \n", "730 6/3/13 31 85 1 16 \n", "851 6/4/13 37 39 1 9 \n", "\n", " mntfishproducts mntsweetproducts mntgoldprods numdealspurchases \\\n", "325 2 1 1 0 \n", "497 17 3 4 15 \n", "526 8 1 12 4 \n", "730 2 1 2 0 \n", "851 2 0 8 0 \n", "\n", " numwebpurchases numcatalogpurchases numstorepurchases \\\n", "325 0 28 0 \n", "497 0 28 1 \n", "526 3 1 3 \n", "730 0 0 1 \n", "851 1 0 1 \n", "\n", " numwebvisitsmonth acceptedcmp3 acceptedcmp4 acceptedcmp5 acceptedcmp1 \\\n", "325 1 0 0 0 0 \n", "497 0 0 0 0 0 \n", "526 6 0 0 0 0 \n", "730 1 0 0 0 0 \n", "851 1 0 0 0 0 \n", "\n", " acceptedcmp2 response complain country \n", "325 0 0 0 SA \n", "497 0 0 0 US \n", "526 0 0 0 SA \n", "730 0 0 0 SP \n", "851 0 0 0 SP " ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Q1 = df.income.quantile(0.25)\n", "Q3 = df.income.quantile(0.75)\n", "IQR = Q3 - Q1\n", "\n", "income_outliers = df[df.income > Q3 + 1.5*IQR]\n", "df = df[df.income < Q3 + 1.5*IQR]\n", "income_outliers.head()" ] }, { "cell_type": "code", "execution_count": 29, "id": "3c47b9a9-2738-40f9-b600-fc262284b97f", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\danie\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(8,4))\n", "sns.distplot(df['income'], kde=False, hist=True)\n", "plt.title('Distribution', size=16)\n", "plt.ylabel('count');" ] }, { "cell_type": "code", "execution_count": 30, "id": "544ecca0-3a5b-4251-9a04-3c75aedc88be", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ " plt.figure(figsize=(3,4))\n", "df['income'].plot(kind='box', patch_artist=True);" ] }, { "cell_type": "code", "execution_count": 31, "id": "f9b425cf-8b51-4025-b4ee-e2906620b6fd", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Column 'year_birth': 3\n", "Column 'income': 8\n", "Column 'kidhome': 0\n", "Column 'teenhome': 0\n", "Column 'recency': 0\n", "Column 'mntwines': 35\n", "Column 'mntfruits': 227\n", "Column 'mntmeatproducts': 175\n", "Column 'mntfishproducts': 223\n", "Column 'mntsweetproducts': 248\n", "Column 'mntgoldprods': 207\n", "Column 'numdealspurchases': 86\n", "Column 'numwebpurchases': 4\n", "Column 'numcatalogpurchases': 23\n", "Column 'numstorepurchases': 0\n", "Column 'numwebvisitsmonth': 8\n" ] } ], "source": [ "#Counting outliers for each colum\n", "\n", "for column in df_to_plot:\n", " q1 = np.percentile(df_to_plot[column], 25)\n", " q3 = np.percentile(df_to_plot[column], 75)\n", " iqr = q3 - q1\n", "\n", " lower_bound = q1 - 1.5 * iqr\n", " upper_bound = q3 + 1.5 * iqr\n", "\n", " num_outliers = ((df_to_plot[column] < lower_bound) | (df_to_plot[column] > upper_bound)).sum()\n", "\n", " print(\"Column '{}': {}\".format(column, num_outliers))" ] }, { "cell_type": "code", "execution_count": 32, "id": "27bf5efd-d16d-4c54-acf8-fa710442eb98", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Column 'year_birth': 0.13%\n", "Column 'income': 0.36%\n", "Column 'kidhome': 0.00%\n", "Column 'teenhome': 0.00%\n", "Column 'recency': 0.00%\n", "Column 'mntwines': 1.56%\n", "Column 'mntfruits': 10.13%\n", "Column 'mntmeatproducts': 7.81%\n", "Column 'mntfishproducts': 9.96%\n", "Column 'mntsweetproducts': 11.07%\n", "Column 'mntgoldprods': 9.24%\n", "Column 'numdealspurchases': 3.84%\n", "Column 'numwebpurchases': 0.18%\n", "Column 'numcatalogpurchases': 1.03%\n", "Column 'numstorepurchases': 0.00%\n", "Column 'numwebvisitsmonth': 0.36%\n" ] } ], "source": [ "#Counting percentage of outliers\n", "\n", "for column in df_to_plot:\n", " q1 = np.percentile(df_to_plot[column], 25)\n", " q3 = np.percentile(df_to_plot[column], 75)\n", " iqr = q3 - q1\n", "\n", " lower_bound = q1 - 1.5 * iqr\n", " upper_bound = q3 + 1.5 * iqr\n", "\n", " outliers = ((df_to_plot[column] < lower_bound) | (df_to_plot[column] > upper_bound))\n", " num_outliers = outliers.sum()\n", " percentage = (num_outliers / len(df_to_plot[column])) * 100\n", "\n", " print(\"Column '{}': {:.2f}%\".format(column, percentage))" ] }, { "cell_type": "markdown", "id": "06b2b46b-be07-4f49-aaef-32f2a32d8590", "metadata": {}, "source": [ "We are going to work on the predictions with the rest of the ouliers since once we segment the clients to make the predictions we can lose a lot of data and this could invalidate the model. Once we get the first results we can test the model without outliers." ] }, { "cell_type": "code", "execution_count": 33, "id": "439ece89-b238-4cf3-8571-68a4b4e27203", "metadata": {}, "outputs": [], "source": [ "#Transform yaer_birth and dt_customer into date format\n", "df['year_birth'] = pd.to_datetime(df['year_birth'], format='%Y')\n", "df['dt_customer'] = pd.to_datetime(df['dt_customer'])" ] }, { "cell_type": "code", "execution_count": 34, "id": "a3a302cb-c9c2-495e-afa4-43d5cd56bef6", "metadata": {}, "outputs": [], "source": [ "#Transform yaer_birth and dt_customer into date format" ] }, { "cell_type": "markdown", "id": "a1d6aafb-5dea-489f-b01e-0caee6400b84", "metadata": {}, "source": [ "## Feature engineering\n", "\n", "Having a first look at the row data enables us to start thinking at some useful variables we could create in order to better understand our dataset and reveal precious information.\n", "\n", "We will create several variables :\n", "\n", "- Variable Age in replacement of the variable Year_birth\n", "- Variable Spending as the sum of the amount spent on the product categories\n", "- Variable Marital_Situation to group the different marital status in only 2 comprehensive categories : Couple(Married or Together) vs Alone (Divorced' 'Single', 'Widow' 'YOLO' 'Alone' 'Absurd'\n", "- Variable dependents in the home ('Dependents') can be engineered from the sum of 'Kidhome' and 'Teenhome'\n", "- The year of becoming a customer ('Year_Customer') can be engineered from 'Dt_Customer'\n", "- The total purchases ('TotalPurchases') can be engineered from the sum of all features containing the keyword 'Purchases'\n", "- The total number of campains accepted ('TotalCampaignsAcc') can be engineered from the sum of all features containing the keywords 'Cmp' and 'Response' (the latest campaign)\n", "\n", "\n", "We will remove the unused variables for this analysis" ] }, { "cell_type": "code", "execution_count": 35, "id": "1c2e8a52-9380-48c0-a3e5-e7912d5df61d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Married 861\n", "Together 575\n", "Single 479\n", "Divorced 230\n", "Widow 77\n", "Alone 3\n", "YOLO 2\n", "Absurd 2\n", "Name: marital_status, dtype: int64\n" ] } ], "source": [ "counts = df['marital_status'].value_counts()\n", "print(counts)" ] }, { "cell_type": "code", "execution_count": 36, "id": "e303f74d-2c44-43a4-b621-0732ac8e5cef", "metadata": {}, "outputs": [], "source": [ "#Age\n", "df['age'] = datetime.now().year - df['year_birth'].dt.year\n", "\n", "# Spending\n", "mnt_cols = [col for col in df.columns if 'mnt' in col]\n", "df['spending'] = df[mnt_cols].sum(axis=1)\n", "\n", "#Marital Status\n", "\n", "# Create a mapping dictionary for states\n", "\n", "estado_mapeo = {\n", " 'Divorced': 'single',\n", " 'Single': 'single',\n", " 'Married': 'couple',\n", " 'Together': 'couple',\n", " 'Widow':'single',\n", " 'YOLO':'single',\n", " 'Alone':'single',\n", " 'Absurd':'single',\n", "}\n", "\n", "# Apply mapping to 'marital_status' column\n", "df['marital_status'] = df['marital_status'].map(estado_mapeo)\n", "\n", "\n", "# Dependents\n", "df['dependents'] = df['kidhome'] + df['teenhome']\n", "\n", "# Year becoming a Customer\n", "df['year_customer'] = pd.DatetimeIndex(df['dt_customer']).year\n", "\n", "\n", "# Total Purchases\n", "purchases_cols = [col for col in df.columns if 'purchases' in col]\n", "df['total_purchases'] = df[purchases_cols].sum(axis=1)\n", "\n", "# Total Campaigns Accepted\n", "campaigns_cols = [col for col in df.columns if 'cmp' in col] + ['response'] # 'Response' is for the latest campaign\n", "df['total_campaigns_acc'] = df[campaigns_cols].sum(axis=1)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "e2c19a7e-154d-44a9-baf2-261e13042b90", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 37, "id": "b4515943-12d8-490f-924a-434dae7a80b1", "metadata": {}, "outputs": [], "source": [ "#Drop columns we don´t need\n", "df = df.drop(['year_birth', 'teenhome', 'kidhome','dt_customer'], axis=1)\n", "\n" ] }, { "cell_type": "code", "execution_count": 38, "id": "d9083a09-e82b-4d95-b91a-8a90152b81b6", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ideducationmarital_statusincomerecencymntwinesmntfruitsmntmeatproductsmntfishproductsmntsweetproductsmntgoldprodsnumdealspurchasesnumwebpurchasesnumcatalogpurchasesnumstorepurchasesnumwebvisitsmonthacceptedcmp3acceptedcmp4acceptedcmp5acceptedcmp1acceptedcmp2responsecomplaincountryagespendingdependentsyear_customertotal_purchasestotal_campaigns_acc
01826Graduationsingle84835.00189104379111189218144610000010SP53119002014151.0
11Graduationsingle57091.004645647037173750000110CA62577020141811.0
210476Graduationcouple67267.00134115915230132520000000US6525112014110.0
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" ], "text/plain": [ " id education marital_status income recency mntwines mntfruits \\\n", "0 1826 Graduation single 84835.0 0 189 104 \n", "1 1 Graduation single 57091.0 0 464 5 \n", "2 10476 Graduation couple 67267.0 0 134 11 \n", "\n", " mntmeatproducts mntfishproducts mntsweetproducts mntgoldprods \\\n", "0 379 111 189 218 \n", "1 64 7 0 37 \n", "2 59 15 2 30 \n", "\n", " numdealspurchases numwebpurchases numcatalogpurchases numstorepurchases \\\n", "0 1 4 4 6 \n", "1 1 7 3 7 \n", "2 1 3 2 5 \n", "\n", " numwebvisitsmonth acceptedcmp3 acceptedcmp4 acceptedcmp5 acceptedcmp1 \\\n", "0 1 0 0 0 0 \n", "1 5 0 0 0 0 \n", "2 2 0 0 0 0 \n", "\n", " acceptedcmp2 response complain country age spending dependents \\\n", "0 0 1 0 SP 53 1190 0 \n", "1 1 1 0 CA 62 577 0 \n", "2 0 0 0 US 65 251 1 \n", "\n", " year_customer total_purchases total_campaigns_acc \n", "0 2014 15 1.0 \n", "1 2014 18 11.0 \n", "2 2014 11 0.0 " ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head(3)" ] }, { "cell_type": "code", "execution_count": 39, "id": "75eed017-d312-46ff-8396-bafb71e8e579", "metadata": {}, "outputs": [], "source": [ "#Saving clean df\n", "df.to_csv('marketing_analysis_clean.csv', index=False)\n" ] }, { "cell_type": "code", "execution_count": 40, "id": "a8ba012a-ebeb-4abe-8161-9cf9ac3a2dbb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1349751" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "suma_spending = df['spending'].sum()\n", "suma_spending" ] }, { "cell_type": "code", "execution_count": 41, "id": "7d82d1ff-876c-4444-a3bd-b715e95845ce", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " id education marital_status income recency mntwines mntfruits \\\n", "1321 9365 PhD single 60000.0 57 1048 0 \n", "\n", " mntmeatproducts mntfishproducts mntsweetproducts mntgoldprods \\\n", "1321 217 0 0 12 \n", "\n", " numdealspurchases numwebpurchases numcatalogpurchases \\\n", "1321 5 11 3 \n", "\n", " numstorepurchases numwebvisitsmonth acceptedcmp3 acceptedcmp4 \\\n", "1321 5 6 0 0 \n", "\n", " acceptedcmp5 acceptedcmp1 acceptedcmp2 response complain country age \\\n", "1321 0 0 0 0 0 SP 47 \n", "\n", " spending dependents year_customer total_purchases \\\n", "1321 1277 1 2012 24 \n", "\n", " total_campaigns_acc \n", "1321 0.0 \n" ] } ], "source": [ "fila_cliente_1386 = df[df['id'] == 9365]\n", "\n", "# Imprimir la fila seleccionada\n", "print(fila_cliente_1386)" ] }, { "cell_type": "code", "execution_count": 42, "id": "d9da465a-a1d8-4a74-8641-c2fbcd96bb7b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(2229, 30)" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.shape" ] }, { "cell_type": "markdown", "id": "cd5d1d72-270f-43b3-bfc2-f5270fdfc1e0", "metadata": {}, "source": [ "### Statistical summary \n" ] }, { "cell_type": "code", "execution_count": 43, "id": "715d99c7-960f-4cf1-9122-1b87026953c9", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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idincomerecencymntwinesmntfruitsmntmeatproductsmntfishproductsmntsweetproductsmntgoldprodsnumdealspurchasesnumwebpurchasesnumcatalogpurchasesnumstorepurchasesnumwebvisitsmonthagespendingdependentsyear_customertotal_purchasestotal_campaigns_acc
count2229.0000002229.0000002229.0000002229.0000002229.0000002229.0000002229.0000002229.0000002229.0000002229.0000002229.0000002229.0000002229.0000002229.0000002229.0000002229.0000002229.0000002229.0000002229.0000002229.000000
mean5589.29609751619.50426249.106326304.99147626.348587165.28398437.64244127.16150744.1130552.3198744.1000452.6366085.8124725.33423154.111261605.5410500.9519962013.02736714.8690008123.388964
std3244.84053820601.21624828.946476336.76194339.764060219.33658954.70054841.33894552.0912551.8952522.7754612.7961613.2421442.41498111.707430601.0322280.7519760.6849667.62218728669.066626
min0.0000001730.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.00000027.0000005.0000000.0000002012.0000000.0000000.000000
25%2829.00000035416.00000024.00000024.0000002.00000016.0000003.0000001.0000009.0000001.0000002.0000000.0000003.0000003.00000046.00000069.0000000.0000002013.0000008.0000000.000000
50%5455.00000051381.50000049.000000176.0000008.00000067.00000012.0000008.00000024.0000002.0000004.0000002.0000005.0000006.00000053.000000397.0000001.0000002013.00000015.0000000.000000
75%8420.00000068118.00000074.000000505.00000033.000000231.00000050.00000034.00000056.0000003.0000006.0000004.0000008.0000007.00000064.0000001044.0000001.0000002013.00000021.0000000.000000
max11191.000000113734.00000099.0000001493.000000199.0000001725.000000259.000000263.000000362.00000015.00000027.00000028.00000013.00000020.00000083.0000002525.0000003.0000002014.00000043.000000111111.000000
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" ], "text/plain": [ " id income recency mntwines mntfruits \\\n", "count 2229.000000 2229.000000 2229.000000 2229.000000 2229.000000 \n", "mean 5589.296097 51619.504262 49.106326 304.991476 26.348587 \n", "std 3244.840538 20601.216248 28.946476 336.761943 39.764060 \n", "min 0.000000 1730.000000 0.000000 0.000000 0.000000 \n", "25% 2829.000000 35416.000000 24.000000 24.000000 2.000000 \n", "50% 5455.000000 51381.500000 49.000000 176.000000 8.000000 \n", "75% 8420.000000 68118.000000 74.000000 505.000000 33.000000 \n", "max 11191.000000 113734.000000 99.000000 1493.000000 199.000000 \n", "\n", " mntmeatproducts mntfishproducts mntsweetproducts mntgoldprods \\\n", "count 2229.000000 2229.000000 2229.000000 2229.000000 \n", "mean 165.283984 37.642441 27.161507 44.113055 \n", "std 219.336589 54.700548 41.338945 52.091255 \n", "min 0.000000 0.000000 0.000000 0.000000 \n", "25% 16.000000 3.000000 1.000000 9.000000 \n", "50% 67.000000 12.000000 8.000000 24.000000 \n", "75% 231.000000 50.000000 34.000000 56.000000 \n", "max 1725.000000 259.000000 263.000000 362.000000 \n", "\n", " numdealspurchases numwebpurchases numcatalogpurchases \\\n", "count 2229.000000 2229.000000 2229.000000 \n", "mean 2.319874 4.100045 2.636608 \n", "std 1.895252 2.775461 2.796161 \n", "min 0.000000 0.000000 0.000000 \n", "25% 1.000000 2.000000 0.000000 \n", "50% 2.000000 4.000000 2.000000 \n", "75% 3.000000 6.000000 4.000000 \n", "max 15.000000 27.000000 28.000000 \n", "\n", " numstorepurchases numwebvisitsmonth age spending \\\n", "count 2229.000000 2229.000000 2229.000000 2229.000000 \n", "mean 5.812472 5.334231 54.111261 605.541050 \n", "std 3.242144 2.414981 11.707430 601.032228 \n", "min 0.000000 0.000000 27.000000 5.000000 \n", "25% 3.000000 3.000000 46.000000 69.000000 \n", "50% 5.000000 6.000000 53.000000 397.000000 \n", "75% 8.000000 7.000000 64.000000 1044.000000 \n", "max 13.000000 20.000000 83.000000 2525.000000 \n", "\n", " dependents year_customer total_purchases total_campaigns_acc \n", "count 2229.000000 2229.000000 2229.000000 2229.000000 \n", "mean 0.951996 2013.027367 14.869000 8123.388964 \n", "std 0.751976 0.684966 7.622187 28669.066626 \n", "min 0.000000 2012.000000 0.000000 0.000000 \n", "25% 0.000000 2013.000000 8.000000 0.000000 \n", "50% 1.000000 2013.000000 15.000000 0.000000 \n", "75% 1.000000 2013.000000 21.000000 0.000000 \n", "max 3.000000 2014.000000 43.000000 111111.000000 " ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.describe()" ] }, { "cell_type": "markdown", "id": "c3f4c496-08e1-42ce-8bd7-3d980f0762ea", "metadata": {}, "source": [ "The describe function generates for us asummary, particularly useful as a first step in our preliminary investigation. Analyzing the statistical summary gives us insightful information in one look : \n", "\n", "-**Average income** is 52.227$ while median income is 51.381$. The distribution is right skewed with the possible presence of outliers \n", "The maximum value is 666.666$ and the 3rd quartile 68.281$ dollars so we could deduce that the distribution is skewed to the right with the possible presence of outliers. \n", "-**Average spending** in the last 2 years is 605$ while median spending is 396$. \n", "-**Average age** is 54 years old and the oldest customer is 83 years old. \n", "-**Average store purchases** is the highest with 5.794.397 following by average of web purchases with 4.087.170. \n", "- The highest average spending on products that have been sold in the last two years has been wine (303.995530), meat(166.916853, gold products(43.968708). \n", "- The campaign with the highest mean response has been Response, which was the last campaign launched." ] }, { "cell_type": "markdown", "id": "f9b7b893-3e77-4c68-8cad-860c804e8402", "metadata": {}, "source": [ "# EDA" ] }, { "cell_type": "code", "execution_count": 44, "id": "e8be0ac6-6d9e-4856-b748-dde96af33e07", "metadata": {}, "outputs": [], "source": [ "#Split data into categorical and numerical for exploration " ] }, { "cell_type": "code", "execution_count": 45, "id": "96793c9c-c6f6-4262-b0be-142b5cef09f7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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educationmarital_statusacceptedcmp3acceptedcmp4acceptedcmp5acceptedcmp1acceptedcmp2responsecomplaincountry
0Graduationsingle0000010SP
1Graduationsingle0000110CA
2Graduationcouple0000000US
3Graduationcouple0000000AUS
4Graduationsingle1100010SP
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" ], "text/plain": [ " education marital_status acceptedcmp3 acceptedcmp4 acceptedcmp5 \\\n", "0 Graduation single 0 0 0 \n", "1 Graduation single 0 0 0 \n", "2 Graduation couple 0 0 0 \n", "3 Graduation couple 0 0 0 \n", "4 Graduation single 1 1 0 \n", "\n", " acceptedcmp1 acceptedcmp2 response complain country \n", "0 0 0 1 0 SP \n", "1 0 1 1 0 CA \n", "2 0 0 0 0 US \n", "3 0 0 0 0 AUS \n", "4 0 0 1 0 SP " ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_cat=df.select_dtypes(include=['object'])\n", "df_cat.head(5)" ] }, { "cell_type": "code", "execution_count": 46, "id": "77df8837-b14a-4859-844c-2f9dbc223fd2", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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idincomerecencymntwinesmntfruitsmntmeatproductsmntfishproductsmntsweetproductsmntgoldprodsnumdealspurchasesnumwebpurchasesnumcatalogpurchasesnumstorepurchasesnumwebvisitsmonthagespendingdependentsyear_customertotal_purchasestotal_campaigns_acc
0182684835.001891043791111892181446153119002014151.0
1157091.0046456470371737562577020141811.0
21047667267.00134115915230132526525112014110.0
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" ], "text/plain": [ " id income recency mntwines mntfruits mntmeatproducts \\\n", "0 1826 84835.0 0 189 104 379 \n", "1 1 57091.0 0 464 5 64 \n", "2 10476 67267.0 0 134 11 59 \n", "\n", " mntfishproducts mntsweetproducts mntgoldprods numdealspurchases \\\n", "0 111 189 218 1 \n", "1 7 0 37 1 \n", "2 15 2 30 1 \n", "\n", " numwebpurchases numcatalogpurchases numstorepurchases numwebvisitsmonth \\\n", "0 4 4 6 1 \n", "1 7 3 7 5 \n", "2 3 2 5 2 \n", "\n", " age spending dependents year_customer total_purchases \\\n", "0 53 1190 0 2014 15 \n", "1 62 577 0 2014 18 \n", "2 65 251 1 2014 11 \n", "\n", " total_campaigns_acc \n", "0 1.0 \n", "1 11.0 \n", "2 0.0 " ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Save numerical data\n", "df_num= df.select_dtypes(exclude=[\"object\"])\n", "df_num.head(3)" ] }, { "cell_type": "markdown", "id": "cdac1fac-dd9f-4216-b434-242e9e068687", "metadata": {}, "source": [ "## CUSTOMER PROFILE ANALYSIS" ] }, { "cell_type": "markdown", "id": "65deeef9-c52d-41de-b676-e09d2acf0a22", "metadata": {}, "source": [ "There are columsn relevant for customer profile:\n", "Education:ordinal\n", "Incomo:continuos\n", "Marital:nominal" ] }, { "cell_type": "code", "execution_count": 47, "id": "239ca1f9-163b-42c2-b47f-08dd51dcc872", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Displaying categorical data\n", "\n", "fig, ax = plt.subplots(1, 4, figsize=(15, 4))\n", "\n", "sns.countplot(x=df_cat['marital_status'], ax=ax[0])\n", "sns.countplot(x=df_cat['education'], ax=ax[1])\n", "sns.countplot(x=df_cat['country'], ax=ax[2])\n", "\n", "\n", "df_plot = df_cat.groupby(['marital_status', 'education']).size().reset_index().pivot(columns='marital_status', index='education', values=0)\n", "df_plot.apply(lambda x: x / x.sum(), axis=1).plot(kind='bar', stacked=True, ax=ax[3], colormap='Paired')\n", "ax[3].legend(loc='center left', bbox_to_anchor=(1.0, 0.5))\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 48, "id": "1396af03-b544-4f8e-8bbf-59c34221a49d", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1, 7, figsize=(15, 4))\n", "\n", "sns.countplot(x=df_cat['acceptedcmp1'], ax=ax[0])\n", "sns.countplot(x=df_cat['acceptedcmp2'], ax=ax[1])\n", "sns.countplot(x=df_cat['acceptedcmp3'], ax=ax[2])\n", "sns.countplot(x=df_cat['acceptedcmp4'], ax=ax[3])\n", "sns.countplot(x=df_cat['acceptedcmp5'], ax=ax[4])\n", "sns.countplot(x=df_cat['response'], ax=ax[5])\n", "sns.countplot(x=df_cat['complain'], ax=ax[6])\n", "\n", "ax[3].legend(loc='center left', bbox_to_anchor=(1.0, 0.5))\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "9c8155c9-de8d-4198-9e86-f1d76fbbedb0", "metadata": {}, "source": [ "## Association between marital status and education" ] }, { "cell_type": "code", "execution_count": 49, "id": "7ebcd577-1f98-48bb-b833-2ce2fb1b1812", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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2229 rows × 2 columns

\n", "
" ], "text/plain": [ " marital_status education\n", "0 single Graduation\n", "1 single Graduation\n", "2 couple Graduation\n", "3 couple Graduation\n", "4 single Graduation\n", "... ... ...\n", "2232 single PhD\n", "2233 couple 2n Cycle\n", "2234 single Graduation\n", "2235 couple Graduation\n", "2236 couple PhD\n", "\n", "[2229 rows x 2 columns]" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_cat_con= df_cat[['marital_status', 'education']]\n", "df_cat_con" ] }, { "cell_type": "code", "execution_count": 50, "id": "03472fec-76e3-425b-b3f2-39c33bdd8e13", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "education 2n Cycle Basic Graduation Master PhD\n", "marital_status \n", "couple 138 34 717 243 304\n", "single 63 20 407 126 177\n", "Chi-cuadrado: 2.4612027478482332\n", "Valor p: 0.651596254517518\n" ] } ], "source": [ "from scipy.stats import chi2_contingency\n", "# Crear la tabla de contingencia\n", "contingency_table= pd.crosstab(df_cat_con['marital_status'], df_cat_con['education'])\n", "\n", "# Realizar la prueba de chi-cuadrado\n", "chi2, p_value, _, _ = chi2_contingency(contingency_table)\n", "\n", "# Mostrar la tabla de contingencia\n", "print(contingency_table)\n", "\n", "# Mostrar el valor de chi-cuadrado y el valor p\n", "print(f\"Chi-cuadrado: {chi2}\")\n", "print(f\"Valor p: {p_value}\")" ] }, { "cell_type": "markdown", "id": "a1ef5fcd-3484-497d-99af-42247a3dd42f", "metadata": {}, "source": [ "The result obtained indicates that the chi-square value is approximately 2.461 and the p-value is approximately 0.6516.\n", "\n", "The chi-square value is a measure of the association between the variables \"marital_status\" (marital status) and \"education\" (education) in your data set. A larger chi-square value indicates a stronger association between the variables, while a value close to zero indicates that the variables are independent.\n", "\n", "The p-value is the probability of obtaining a chi-square value equal to or more extreme than that observed if the variables were completely independent. In other words, it represents the probability that the association between the variables is simply the result of chance, given the size of the sample.\n", "\n", "In your case, the p-value is 0.6516, which means that the probability of getting a chi-square value equal to or more extreme than 2.461 under the null hypothesis (that the variables are independent) is about 0.6516. Generally, if the p-value is greater than a predefined significance level (for example, 0.05), we do not have sufficient evidence to reject the null hypothesis and we can consider the variables to be independent.\n", "\n", "Therefore, in this case, the result suggests that there is no significant association between marital status and education level in the data set you are analyzing." ] }, { "cell_type": "code", "execution_count": 51, "id": "c55c9e1e-53af-42a5-9522-3f78ff54a979", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['id', 'income', 'recency', 'mntwines', 'mntfruits', 'mntmeatproducts',\n", " 'mntfishproducts', 'mntsweetproducts', 'mntgoldprods',\n", " 'numdealspurchases', 'numwebpurchases', 'numcatalogpurchases',\n", " 'numstorepurchases', 'numwebvisitsmonth', 'age', 'spending',\n", " 'dependents', 'year_customer', 'total_purchases',\n", " 'total_campaigns_acc'],\n", " dtype='object')" ] }, "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Displaying numerical dataç\n", "df_num.columns" ] }, { "cell_type": "code", "execution_count": 52, "id": "71727a41-8c07-4132-91be-1e7985cd1734", "metadata": {}, "outputs": [ { "data": { "image/png": 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AER0AAAAAAAAAAAcoogMAcBaqamwqrzF5OgwAAAAAAOBmFNEBADiDqhqb3l+bowWHQjRh6THtyi/1dEgAAAAAAMBNKKIDAHAGS7fnq6C0UpK0+1i1/vjhJhmG4eGoAAAAAACAO1BEBwDgNA4VV2hbbolMki6OsirQT1q7t1BLtuV7OjQAAAAAAOAGFNEBADiNnT9P3dImLlwtQmt0fZsQSdK0r3d6MiwAAAAAAOAmFNEBAHDAMGSf/zwtLlySdEObEPmZpI37i5RztMyT4QEAAAAAADegiA4AgANF1SYVlVcpwM+kljFhkiSL2U+XpEZLkhZsyfNkeAAAAAAAwA0oogMA4EBehb8kqWVMqIICfvmTeW2nBEnSV1kU0QEAAAAAaOgoogMA4EBhZW0RPblJaJ31g9Jri+iZ+wp1uMTq9rgAAAAAAID7UEQHAOAUDMPQ0craP5PxluA62xItIeqQGCnDkFZnF3giPAAAAAAA4CYU0QEAOIW84zZVGSb5+5nUNNxcb/ulrWrnRV+9+6i7QwMAAAAAAG4U4OkAAADwRruOVkmS4iLM8vcz1dveKzVGM7/bo+93MxIdAHxBcUWVfsg+qoLSSpkD/VQT1kyGYchkqp/jAQAAgF9jJDoAAKews7BakhQfGXzK7b1Sa0ei78wv1ZFS5kUHAG+272iZ3l21V1sOFiuvuEJ7C8q0v8U1+vPHWTIMw9PhAQAAwMsxEh0AgFPYebS2iJ7goIjeJCxI7RMi9GNeiVbvPqobLkp0Z3gAgLN0pNSqLzblqtpmKNESrG7JUcotqtD6fYX69+p9Cg3y18QbOno6TACAAwWlVi3bcVgFRcE68PVePVJpU3jQL2NCu3XrpqCgIA9GCKAxoIgOAMApXJwQpJIyqxItpy6iS1LPlGj9mFeidfsKKaIDgBcyZNKCLXmqrLGpWVSIbumWpAA/P6XFRyh39efKS7pcb3+brcvTmqpv26aeDhcAcJKCUqvmrclRtc2Q5Kc1RWHaveiw+sRY5WeScvfs0OOSevXq5elQATRwTOfiRnnFFVqx64hW7DyiosAYbh0FAC92a4dQ9Ym1KjIk0GGbrslRkqQNOcfcExQA4JwURbXVkdJKmQP8dH3nBAX4/fLfH0vRLg3vnSJJ+uOHm1RSUeWhKAEAp2IY0tLth1VtM5RkCVZa1R75y6aCSn8dDGqmlh26KDGlrafDBNBIUER3A8MwtOqnAr2/JkeZewuVua9QWyy9NOGjzaqstnk6PADAeeraIkqSlHWgSFU15HMA8CbllTU60rSbJOnSVjEKDap/E+74a9upZUyocosq9M9vs90dIgDgNA5U+OvAsXIF+Jk0KD1BMUaR2vgfkSStzzmm49ZqD0cIoDGhiO4GP+w5qh/2HJUkpcWFq0NihGQYmrcmR+P/byMj0gHAR6XGhCkyOEDWapu255V4OhwAwK/837r9qgkIliUkUBc1s5yyTWhQgJ68tr0k6Z/f7lYBD4oGAK+Rfbz24ufFLZsoMrj27tAYU5kSLcGqsRlat6/Qk+EBaGQoorvYcf8I/ZBdW0Dv27apru+cqIEdExS44QPJsOnjDQc1YNQLuvPBkbrzwZEa88QfPRwxAOBs+fmZ1OXnKV3WM6ULAHgNm83Qv1bUjizvmhwlPz+Tw7bXpSeoczOLjlfW6K1vd7srRADAaeSW1qig0l8mSZ2TfrkQajJJl6RES5I2HyhSJTeDAnATiuguZBiGfgrvLJshtYkLt8+dK0k1h3aqT5vahxfti+qijreMVM/bxujwMUYyAoAvOZHbN1JEBwCv8fWP+co+clx+NVZ1TIw8bVuTyaQx/dMkSXNX71Mp0wMAgMct31shSWoRE6rw4LrTcbWMCVV0WJCqagwdLPf3RHgAGiGK6C60dHu+SgOjFOhvUr+2Tett796yiRIig1VVY2jV7gIPRAgAuFA8XBQAvE9kSKAuSYlWVOEOBQWc+b88V7ePU6umYSqpqNb7a3LcECEAwJEam6Hl+2qn1+p0iguhJpNJHRIiJEk55fWfdwEArkAR3YVeX/qTJOmiZlEKM9dP7CaTSVekxUqSthwsZg5GAPBBJ4roPx0uVXFFlWeDAQBIki5JjdYHj1ym2MPrzqq9n59JD1yeKkmavXKPbDaeWQQAnnR/lzA1C6lWatOwU25v93MRvaDSX/nHa9wZGoBGiiK6i6zZc1Rr9xbKZNSoW4soh+2SokLU+uc/Cpl7eSgGAPiamHCzkqNDZBjS5v1Fng4HAPArJp19Mfw33Zop3BygfUfL9H02d4kCgKf4+5nUM8msnk0qFeB36rJVRHCgkpuESJJW7mdAIgDXo4juIhVVNWrVNExxFQdOOQr913q0rH0oxvZDJbL6BbsjPACAE3VpHiWJKV0AwJeFBgXoxi5JkqQPmNIFALxem7hwSdLa3EoPRwKgMaCI7iJXpDXVosf6KqVs2xnbJliC1TwqRDZDyg1OcX1wAACnOjGly/p9xzwaBwDgwtzWM1mS9GVWnorKmaILALxZq6a1RfRdhdXKL67wcDQAGjqewOBC/n4m+RtnNzdX1xZR2n+sXPnBzVRZbTurByABANyrprpaWVlZ9danJ9bOo7sh55gMw5DJZHJ3aAAAJ+jS3KJ28RHafqhEn244oHsuS/F0SAAAB8LNAYoKrNGxKn8t3pavO3u18HRIABowKrVeIjUmTGFB/qr2M2vR1kOeDgcAcAqH92frg++26b3V++zLlPcXqyp/twL8TDpSatXBIkbBAICvMplMGvrzaPT31zKlCwB4u8Tg2oGLi7dRRwHgWoxE9xJ+fiZ1TIrUmj2Fmrdmn264KNHTIQEATiG2WapaduhSZ12Qv0kdEiO1+UCRNuw7pmZRIR6KDgBwtrI2b9agm2+tt77a3yxT2lBlHSjWloNF6pRk8UB0AICzkRBco20l0qqfCmStrpE5wN/TIQFooCiie5FOSRat2VOob3ceUc7RMiVHh3o6JADAWeqaHKXNB4q0fl8hF0IBwAdU2QxdO+r5U2771/yFKolM1YeZByiiA4AXiwwwZDGbVGStUebeQvVuHevpkAA0UEzn4kUsIYGyVB6RJH3A7aMA4FNOPFx0Q84xj8YBALhwkUU/SZI+3XhQ1TU2D0cDAHDEZJIuiguSJH2z44iHowHQkFFE9zLxFfsk1RbROWEHAN/RtUWUJGnzgSJVkb8BwKeFlR5QdFiQjpRa9d1PBZ4OBwBwGl3iAyVJ3+w47OFIADRkFNG9THRlvpqEBupQsVXf7uIqKgD4itSYMEUGB8habdP2vBJPhwMAuAAmGbrx56m5Pl5/wMPRAABO58RI9K25xTpcYvVwNAAaKoroXsZPNt3UJUmSNH8dJ+wA4Cv8/Ezq2qKJJGn9vkIPRwMAuFC3dGsmSfoqK0/HrdUejgYA4IjF7KdOSZGSpBW7GI0OwDUoonuh31zcXJK0cGueSjlhBwCfcWJe9PXMiw4APq9rcpRSYkJVXlWjhVvzPB0OAOA0rmzbVBLzogNwHYroXqhLc4taNQ1TRZVNX27O9XQ4AHDeJk+erJ49eyoiIkJxcXG65ZZbtH379jptDMNQRkaGkpKSFBISon79+mnLli112litVo0ePVqxsbEKCwvTTTfdpP3797uzK2elGw8XBYAGw2Qy2Uejz19/0MPRAABO54q0WEnStzuPyGYzPBwNgIaIIroXMplMGmI/YWdKFwC+a/ny5Ro5cqS+//57LVq0SNXV1Ro4cKCOHz9ub/PSSy9pypQpeu2117RmzRolJCTommuuUUnJL/OKjx07VvPnz9e8efO0YsUKlZaWavDgwaqpqfFEtxzq8nMRfffh4yoqq/JsMACAC/abn8/JV+w8rPySCg9HAwDnpjENaOnRMlqhQf46UmrVtrxiT4cDoAHy6iJ6Y0r4J7u5a+0J+6rdBTp4rNzD0QDA+fnqq680fPhwderUSV26dNHMmTO1b98+ZWZmSqrN4VOnTtXEiRM1ZMgQpaena/bs2SorK9PcuXMlSUVFRZoxY4ZeeeUVDRgwQN26ddOcOXO0efNmLV682JPdqyc6LEgtY0IlSRv3H/NsMACAC9YyJkwXt4iSzZA+28gdogB8S2Ma0BIU4KfLWsVIqh2NDgDO5tVF9MaU8E+WHB2qS1KjZRjSxxsYjQ6gYSgqKpIkRUdHS5Kys7OVl5engQMH2tuYzWb17dtXK1eulCRlZmaqqqqqTpukpCSlp6fb25zMarWquLi4zuIu9nnR9x1z2zEBAK5zYjT6x9whCsDHNLYBLb9M6cLDRQE4n1cX0T2Z8D1ZgDnBPqXLugMyDOb0AuDbDMPQ448/rssvv1zp6emSpLy82ge1xcfH12kbHx9v35aXl6egoCA1adLEYZuTTZ48WRaLxb4kJyc7uzsOnZgXfd2+QrcdEwBcoTHfFfprN1yUpAA/kzYfKNKu/JIzvwEAvFRDH9Byxc8PF12TXajySu8dNAnAN3l1Ef1k7kr4kmcLMCdc1zlRQQF+2plfqi0HmdMLgG8bNWqUNm3apPfee6/eNpPJVOe1YRj11p3sdG0mTJigoqIi+5KTk3P+gZ+jHim1f6My9xaqhocaAfBhjfmu0F+LDgtSv3a1hRmeVwTAVzWGAS2tYsPULCpElTU2rc4ucMsxATQePlNEd2fClzxbgDnBEhKoazrU9u2jdZywA/Bdo0eP1qeffqqlS5eqefPm9vUJCQmSVC8f5+fn23N7QkKCKisrVVhY6LDNycxmsyIjI+ss7tIhMVIR5gCVWqu1LZcLoAB8V2ObBuB0brFP6XJQNi6QAvBBjWFAi8lk+tWULsyLDsC5fKaI7s6EL3m2APNrQy6uPWH/dONBVdfYPBIDAJwvwzA0atQoffTRR/r666+VmppaZ3tqaqoSEhK0aNEi+7rKykotX75cvXv3liR1795dgYGBddrk5uYqKyvL3sab+PuZ1D2l9sLtD9lHPRwNADiPO+8K9YapFX9tQId4hZsDdOBYudbuZbouAL6lMQ1ouSKt9s4h5kUH4Gw+UUR3d8L3Jle2baqYsCAdKbXq211cSQXgW0aOHKk5c+Zo7ty5ioiIUF5envLy8lReXi6p9iLo2LFjNWnSJM2fP19ZWVkaPny4QkNDdeedd0qSLBaLHnjgAY0bN05LlizR+vXrdffdd6tz584aMGCAJ7vnUM+fp3RZs4ciOoCGwd13hXrD1Iq/Fhzor+vSa//vwZQuAHxFYxzQ0qdNjEwmacehUuUVVXg6HAANiFcX0Rtjwj9ZoL+fbuySJKn2AaMA4EumT5+uoqIi9evXT4mJifbl/ffft7cZP368xo4dqxEjRqhHjx46cOCAFi5cqIiICHubV199VbfccouGDh2qPn36KDQ0VJ999pn8/f090a0z6pVaW0T/IfsoD4YG0CC4+65Qb5ha8WS/+fkO0S82HZS12jfmcwfQuDWGAS011dXKysrS6tWrtXr1am3fvF6towIkMRodgHMFeDqA0xk5cqTmzp2rTz75xJ7wpdokHhISUifhp6WlKS0tTZMmTXKY8GNiYhQdHa0nnnjCaxL+2fhNt2aatXKPFmzJU0lFlSKCAz0dEgCclbMpIJtMJmVkZCgjI8Nhm+DgYE2bNk3Tpk1zYnSuc1HzKIUE+qvgeKV+zCtRh0TPTAkGAM5w4q7Qb775xuFdoYmJifb1ju4K/fVo9Pz8/NMOaDGbzTKbzc7uylnL2rxZg26+tc46Q1JAm1tVrDAt/fGwrv15ZDoAeKvp06dLkvr161dn/cyZMzV8+HBJtQNaysvLNWLECBUWFqpXr16nHNASEBCgoUOHqry8XP3799esWbO8YkDL4f3Z+iDrqDYf/+V8u+xIseSfoG93HtGtPTx7JxOAhsOri+iNIeGfjYuaW9SqaZh2Hz6uL7PyNJQ/AgDgNU6MfjlZj5ZR+nZXgb7bdYQiOgCfZBiGRo8erfnz52vZsmWnvSu0W7dukn65K/TFF1+UVPeu0KFDh0r65a7Ql156yb0dOgdVNkPXjnq+3voVu44oc2+hPl5/gCI6AK/XWAa0xDZLVcsOXeyvj1g362BB7Uj0Gpshf7/T3x0FAGfDq4vojSXhn4nJZNKQbs308sIdmr/uAEV0APAipxr9krtnh9pe3Effqrbg8uAVrTwXIACcJ+4Kra99QoQy9xbq6x/zVVRWJUsod4gCgLeJDrIpLNCkwrIqrd9XqB4/P68IAC6EVxfR8Yubu9YW0b/PLtDBY+VKigrxdEgAgJ+dPPpFkjrH1RZWVu8+qspqm4ICvPoxJABQD3eF1hcbbpa54qiswdH6YnOu7uzVwtMhAQBO4meSusYH6bv9Vi3adogiOgCn4H/0PiI5OlS9UqNlGNLHG3jAKAB4u+RIf8WGB6m8qkZr9x71dDgAcM4MwzjlcqKALv1yV2hubq4qKiq0fPlypaen19nPibtCCwoKVFZWps8++0zJyb57Z2Vk0U+SpI/Xc04OAN6qR2KQJGnx1kMejgRAQ0ER3Yf89uLaBzm9vyZHNtuZp7oBAHiOn8mkK9OaSpKW/pjv4WgAAM4SUZwtk0n6Yc9R5Rwt83Q4AIBT6BofqAA/k346fFy7D5d6OhwADQBFdB8yuEuiIoIDtLegTN/uOuLpcAAAZ9C/Q7wkack2iugA0FAEVpfp8jaxkqT3ftjn4WgAAKcSGuinS1vFSOJcHIBzMCe6l1m3bp3ufHBkvfVNoyL0t5df0O+6N9fM7/bo3VV71LdtUw9ECAA4W1e2jVWAn0m7j9SOgGnVNNzTIQEAnOCuXi317c4jmrcmR4/2T1NwoO/N7w4ADd2ADnFaseuIFm07pIeubOXpcAD4OEaie5lKm9TztjH1lsPHSiRJd1/aUpK05Md8bh8FAC9VU12trKwsbd24Tu1jaq9X/2vBGlVWVno4MgCAMwzoEKckS7COHq/UfzfnejocAMApnLgrdO2eoyo8znk4gAtDEd3HtG4arj5tYmQY3D4KAN7q8P5sffDdNr23ep/8Ko9Lkj7edFjr16/3cGQAAGcI8PfTXT8Pbpm9aq+HowEAnEpydKjaJ0TIZkhf84wiABeIIroPuufSFEm1Dxi1Vtd4NhgAwCnFNktVyw5ddEnndpKkUr8wHS4jZwNAQ3Fbz2QF+ftpY84xbcw55ulwAACnMLBj7Wj0L7O4awjAhaGI7oMGdIhToiVYBccr9cn6g54OBwBwGmHmADWPCpEkrdpv9XA0AABniQ0364aLEiVJs1ft8WwwAIBTGtwlSZK0fMdhHStjShcA548iug8K8PfTfX1SJEmvL9ulGpvh2YAAAKeVFl/7QNHvKKIDQINy72W1U7p8tvGgDh4r93A0AICTtY2PUPuECFXVGPoqK8/T4QDwYRTRfdRdvVoqKjRQewrK9PkmRqMDgDdLi4uQSYb2FNVoy8EiT4cDAHCSbi2a6NJW0aqqMfTm8p88HQ4A4BRu6lo7Gv3jDQc8HAkAX0YR3UeFmQP0QJ9USdI/lu6SjdHoAOC1QoL8lRhcOx/6B2tyPBwNAMCZHr06TZL03poc5RdXEtJySAABAABJREFUeDgaAMDJbu7aTCaT9P3uo9pXUObpcAD4KIroPuze3imKMAdox6FSLdx6yNPhAABOo2VotSRp/voDqqjiAaMA0FBc1jpG3Vs2UWW1TW99s9vT4QAATtIsKkSXt4mVJH2wlgEtAM4PRXQfZgkJ1LDeKZKkvy3ZydzoAODF4sw2NQ31U3FFtT7hVlIAaDBMJpNGX91GkvTv1ftUUMrzLwDA29zes4Uk6T+ZOaqusXk4GgC+iCK6j7v/8lRFmAO0LbdY/5fJFVUA8FYmkzQwNViSNGNFtgyDC58A0FD0bdtUFzW3qLyqRv9YytzoAOBtBnSMU3RYkA4VW7V4G3fyAzh3FNF9XHRYkMYMqJ2H8X8XbFdxRZWHIwIAONI/JVihQf7acahU3+484ulwAABOYjKZ9IdB7SRJ76zao135JR6OCADwa+YAf915Se1o9Bkrsj0cDQBfRBG9Abj3shS1ahqmI6WV+vvinZ4OBwDgQFiQn4b2SJYkTft6J6PRAaABuSKtqa7pGK9qm6FnP9tKjgcAL3PvZS0V6G/Smj2F2rT/mKfDAeBjKKI3AEEBfnp6cEdJ0qyVe7Qrv9TDEQEAHHmkb2sFBfhpzf+zd+dxVdX5/8Bf5+6sl30TVFQkFdzAFKw015xxyyYrG8eaxizLYtKxsZoJyyRtXBotJ/36U9MUpyknndLc0lJcURQ33MAVRJF9uRfu/fz+uHDyCigqlwuX1/PxOA+4n/O553w+B3zfj28+53MycrH7bI69m0NERPXovd92gEapwC9nbmDLCS4XQETUmPi56zCsSxAA4LOfztq5NUTU1DCJ7iD6hvuh/0N+qDALTP3PET4og4iokTFVVODYsWO4cOoI+rfSAADiv01GWRkfQEdE5Chaebtg/GOhAIAZ359EibHCzi0iIqJbTezbDpIE/Hj8Go5fzbd3c4ioCVHZuwH0YN6c8ldcz7OsuVim0EHp8SgOXczD43Gforv2Gj79x8d2biEREQHA9cvp+Pexm0gtdocwASrJCWdzK7Bgw1785ek+9m4eERHVk4l92+HbQ1dw8WYJZnx/EjOfjLR3k4iImpWqySu369atG9r5uWJ4lyB8l3IVczefxtIXetihhUTUFDGJ3sRdzytEj2felF/7ZRVi0/EsXHZtD49cPrSOiKgx8WkRilYdugAACjJuIulcDlYfL8GEYeVw16nt3DoiIqoPLloV5jzdBc8v3YfV+y6iT3tfDO4UYO9mERE1G7dOXqmSmXEabwHo2bMn3ugfhu+PZmLbqWz8cuY6Hg3ztV9jiajJ4HIuDiY8wA3hAW4QAjjt1hV5JUZ7N4mIiGrQLcQDLkozcsvMSPjhpL2bQ0RE9Si2nQ9efrQNAOCv3xzFtYIyO7eIiKh5qZq8UrX5BbfBsWPHsG/fPtw4fxwDQ7UAgOnrj8NYweVwiejuOBO9iTh06BDG/Om1auWHjxxFj2esyx4P90VmXikKypzx8spkrHzpYWhVygZqKRER1YVKqUA3DyN25eiwZv8lDOoUgMfD/ezdLCIiqidvDWqPXWdv4PjVArz21SGs+lNP6NQckxMR2cPts9MlM6ASGpy9Xox/7TyHN/qH2bmFRNTYcSZ6E2E0Az2eebPaZiiv/rAirUqJYV2CoDSXY3/6Tfz1m1QIIezQaiIiuhMfrRlPtNEBAN5am4KreaV2bhEREdUXrUqJT5/tBjedCgcv5GLy10dgNnNMTkRkL7fOTg/r1AVdPE0AgAXbz+DE1QI7t46IGjsm0R2Uj6sW4YWHoVJIWHf4CmZtSmMinYioEXo+wgURLdyRW1KOl1ceRLGh+h9HiYioaWrn54ovfh8FtVLC90czMWvTKXs3iYiIKgU7mRAdqEG5SeD11YdQxHE4Ed0Bk+gO7Py+zWiVfwQA8K+d5xAb9xme+9NreHPKX+3cMiIiqqJRSlj0fBS8XDQ4dqUAr60+xHUZiYgcSGw7H8z+XWcAwBc/n8eczZzcQkTUGEgSMKGbKwL1Opy/UYy/8I4hIroDronuwIxmYOjIp3DkUh52nL6OTKdQeLftAhxNtHfTiIjoFiFezvi/cdF4bvFe7Ei7jolfJWPhmO5cO5eIqBE6lpqKwSOernX/2dNpaNc+vFq5r1cnXPfvgQXbzyK3xIjpwyOgVEi2bCoREd2Fu1aBhWO64dnFe7HxWBZmbTqFvw55CJLE+ExE1phEbwa6hHhApZSw7WQ2jl0tgId7D+SVGOHhrLF304iIqFL3lp74v3HR+NOKg9h6MhvPfLEHX4yNRoBeZ++mERHRLcrNAk+8/lGt+xPGD6t1/9zZCVB2fwqr9l7Efzf/jIDM3VCaywEAfl4eWLlsiU3aTEREtYtq5YXZv+uMP689gi9+Pg+FQsLUweFMpBORFS7n0kx0CtJjSEQAVAoJeRpfDF+4G6ey+OAMIiJ7MlVU4NixY9i3bx/27dsHzc3zeLuXKzyc1DhyOR/DF+5C8oVcezeTiIjqieFMEoZEBkIhAUXurXG96wvoPu5veOL1j5B9M8/ezSMialZuHYsHGa9gXKQLAGDRjnP48H8nufQWEVnhTPRmJMzfDR7OGnyz5xQu3gRGLNyNvwwOxx97h0LBW0mJiBrc9cvp+Pexm0gtdpfLLp87gd93aIX/5gTgcqEBT/8rCSPCnPDhs7FwdeasdCKipq69vxtctSpsPJaF/NJy/PvgZfQM9YLg/CYiogZV01i8dUUOMlQh+H+703Gz2ICZoyLhrGHqjIg4E73Z8XXTonPebvQN94WhwowZ35/Es0v24vz1Ins3jYioWfJpEYpWHbrIm0qpxpb9x9DFpRDBThUwC2Dd6VI8/vEmrPh+lzxr3Wg02rvpRER0n4I8nDCmZ0uE+rjAZBZIOpeDjDbDkXTuhr2bRkTUrNw+Fu/a0huvdHOFUiHhvylXMerzJGTcKLZ3M4moEWASvRlSi3Ise6EHZj4ZCWeNEvvTb2Lw/J8x84eTKCwrt3fziIiaPZ8WoWjXqQueiu2A30YGQi3Kcd2oxvu/5GPypiwkrN2Jw4cP27uZRET0AJzUSgzrHIhBHf3hpFbCqPXAmCX78Pz/7cWBjJv2bh4RUbNkqqiAb9FZvNfbHXqthFNZhRgyfye+3H0eZjOXdyFqzphEb6YkScKYni3xY9xjeDzcF+UmgcU/n0ffT3Zgyc/nUWo02buJREQEoJ2fKzqXp8FfUQgAuFyqQqq2I/5zqgQlxgo7t46IiB6EJEnoEOiOP8S0gsfNk1ApJOw+m4On/7UHTy1KwrrDl1FWznE5EVFDuX45Hf/efRJHzmWil0cJvDUmlFYI/H3DSTy7eC/OZhfau4lEZCdMojdzIV7OWPbiw1j2Qg+E+rggp9iIj344iUdn/4TPd5zFzWIuF0BEZG9qmNBOmYPnHg5BkF4Hk5Dw9ckS9PlkB77ckwFjhdneTSQiogegUyvhf20fdvylL8b0bAm1UkLyhVz8ee0R9ErYhmnfHsXuszdQYWK8JyKytaolXh6K6Iwxj4Qj0t0IrRLYn3ETg+f/gnfWpSK7oMzezSSiBsanIxAA4PGH/PBImA++PXQZC7afxeXcUszelIb5W89gWOcgjItthc7BHvZuJhFRs+bnpsPvooKRdPg4LhqckF1owN+/O47FP5/Hm/3DMLJbC6iV9/73caPRWOPyMN26dYNGo6mPphMRUR0Eezpj5pORiOsfhrUHLmHN/ou4ml+GNfsvYc3+S3DXqRDb1gePhPng0TAftPJ2sXeTiYgcmkKS0FpXhr5e+dhjaIGDmUas3ncR3xy8iH6tdfhtOyf4OisBcOxM5OiYRG+GDh06hDF/eq1aua+HGz79x8d4slswvku5ghV7MnDsSgG+OXQZ3xy6jIcC3DCsSxCGdg7kgJ2IyE4kSUKg2oBB3rnIcmmLb0+V4HJuKf7yn6P45Mc0/CGmFZ7p0RK+bto6H/Pw4cOYu3YrAlu3l8syM07jLQA9e/a0QS+IiOhO/Nx1mNQ/DBMfb4e953Pwv6NXselYFnJLyrHpeBY2Hc8CAPi7a9E52AOdW+jROcTy1dOFCRwiovp0/XI6TufdRIeuLnDyVmD/1RIYtF7YeK4Mm86VooWTCR4F5/A3cOxM5MiYRG+GjGagxzNvViv/4u1xVsl1NwCRKg/kurdFtjoQp7IKcSorDZ/8mIbOwXoM6OCPvuG+iAjSQ6GQGrAHRETN2/XL6fgm7yY6dHXHI55AerEKpwskZBcC/9h8GnO2nEb3lp4Y2NEfXYI9EB7gBq+7JFUCW7dHqw5dGqgHRER0u2OpqRg84uka9/l5eeDA/32Bo1fysfvMDfxy9gYOX8zFtQIDtpy4hi0nrsl1VcYiaA250BryoDHkIlBnwprPZ0GnVjZUV4iIHE7VEi+tABgz/4NCpRGF+lBculmKy6UqXFaH490defiTdBFDuwTBVct0G5Gj4b9qktWWXD+w9lP875/z8OPxLPzvaCZ2n72Bo5fzcfRyPuZuOQ2V2QAP4w3oy3PgVpELJ1Mx/CpntRMRkW1UDeQBoC2AtieOoGULT+zOVuHwxTwkX8hF8oVcub6bVgVXnQouWhVUt/3hs6SkBHklOjgVXYSrVgU3rRqiWIX0vApEmcxQ3ccSMUREdG/KzQJPvP5Rjfs2LXwXKqUC3Vt6ontLT0zqH4YSYwWOXy3AxOmfwrNzP1wrMCC/tBwVGldUaFxR7BYCAMgC0OHvm9DKyxnt/d3Q3t8NYf6uCA9wQ6iPC7QqJteJiO6FBMBTUYaB3YKRXVCG5Iu5OHOtEGdzK/DXb1Px/nepiGmhRe8QLZ4f0APOTjp7N5mI6gGT6FQnHs4aPNOjJZ7p0RI3iiwzXj5ZswVFzkEwQosbuha4oWsBAHBSK+FUdAVLfj6PLiEe6Bjkzr/CEhHZmDBVwDP/LP4aFYEbHTyRnGXE0WvlyDIocTm3FIWGChQaKu5wBAUKCgy4BkPlaw2O/JSH93/eiE6+akQFaNE9QI3+sdFc65GIqBFw1qjQo7UXvG6ewBMRzwMAyspNyCky4kaxATeLjMgpNuLytRuA1gUZOSXIyCnB5ltmrUMItPZxQVtfV7T1c0U7X1e09XNBO1836J3VduoZEVHT4eeuw5CIQLhe2odLRi1K9W1QZFJgx0UDdlw04J8HtmNYtxD8JiIQD4d6QaPi5BSipoqZTbqr2tZQLz1yFC/P+D9k5pfi4s0SXM0rQ1ZBGUrLTSjVBuCjH04CACQJaO3tgk5B7ugUpEdEC3d0CHSHt4sGksRlYIiI6sP1y+n497GbSC12/7Uw/QRe7ByMdo90ws1SE0orBE6eScf+9JvwDgwGhKVaxsnD8AwKRWinbigqsyTbz6ZfRCF0MECNQ1nlOJRVDgAI3bsdw6LaoG+4Lzq30HOWOhFRI6JTK9HC0wktPJ3ksoTxr+KNheuQU2zEzWIjcooMyCm2JNiNFWY5ub7tVLbVsXxcNXJyva2vK9r4uiDE0wktPJzhpOHsdSKiW2lQgfaeLoh6tD2u5pXh1LUCnM7MR6ERWL3vIlbvs9zx+Ug7H/R7yA99wn3h784Z6kRNCZPodFe1LfOy9+A4KBUSgj2dEezpDACoMJtxvdCAb1evgFurCBSr3GFUOiH9RjHSbxTjf0cz5fd7OKvRxscFbXxdcWL/LzAV34STqQg6UykUMAP49WGnRER0d7cu8QIAWRln8O/dJ9HhlsT6sT274d8uEtFdI+Uyc1YalIoytPV1lcvUZ3ZA4axH6+6PIT2nGOnXi5FVUIr0PBP+ue0M/rntDNy0KvRq641H2vmga4hl7XWuuUtEVP/utF768RMn8cRd3u+itSzn1dLLWS4TQmBO3O/RpksvGDR6GLV6GDV6GLUeqFC74EaRETeKbmJf+s1qx1ObDejQ0g8tPJzQwsMJgR5O8HfXIsBdB393HfzctVwmhoiaJUmS5D9mtjJehoe6AlfVgTiUZUS+ocLq4dCBLgp08FGjo48aTz7WFW383DnRkKgRYxKd6pVKoUCg3gnm83vwh1dfAQCUGCtwvdCA7EID0k6kwi2oHTJySpBXUo5DF/Nw6GIeoAwF3EPl4ziplXDTqXDqxgVM33AcLTycEKDXwdtFC29XDbxcNPB01kDJB5oSEd1RTYn1upIkwNdNC183LR5u7YXTx44gtIUfMspdsftsDvJLy60eaCcBCHJToqWbAsFuCrTy0CDEXQU/FwUUkoRu3bpxKRgiovtwp/XSD48fdl/HlCQJ5SUFGPXHSdX2GSvMmPfOaxjx51m4WWKZwZ5XUo7CsgoYTWaUK7TyM5Jq4+mshn9lUt2SXNfCX6+Dv5sOAXpLot3HRQtFIx7Pj31xPLJv5tW4z8/LAyuXLWnYBhFRk5JzJR1n826iQ1cd+noBeeUKHD17AaUugShTuyGz2IzMYgO2XzBgYfIueDirEdlCj8gWeoQHuKGtrytCfVzgwuVxiRoF/kskm3PWqNDKW4VW3i7AvhSs/st4lBpNSL9RjHPXi3D+ejFW/u8nKHzbILfEiHKTsCwJU24CtAFYtjujxuNKEuDpbEmoe7lo4O2igYezBp7Oang6a+BR+dXTxVL2yayPkZeXi9uH6ZztTkRUNypRAe/Cs+gTEYGxbd2RkWfCltRLSL4uUKpyg9Es4UqhCVcKTZXvsKyvroCAzlyKqIOFiOnUGuH+bohsoYcfb2ElImqUNCoFzLmX8VCgu1W5EAKGCjM2LZ+Pd9+fjit5pbiSW4qsgjJcKyjDtQIDsgrKYKwwI7ekHLkl5TiVVVj7iYQZqopSqCpKoCovgZvKhN8/OUSe0R6g18LPXQc3rcouszOzb+bd8WGvRER3c/uEFsPVNCidbyIypiuu5Fti6PnMHBRWKJFXUo5fztzAL2duWB3DS6dAkJsS/i4KdAxtgRaeLvDX6xCo18HPTQe9k5oTDIkaAJPo1KBqW1+9+MhRvDxzKYQQKKswW9bkLSvHsaStGPTbYcjMK0NWfhlyig24WWxEbkk5hABuVq7tWCeqGMAH0KkU0KmVcNIooVMrceZyGmb87wS8XDXwcdXC11ULH1ctfNw08HbR8sEfRESValp3/eKhHYhoF4moR7ujxGjC9UIDDiUno0ztBrh642axESYzUKJwxi+XDPjlUpr8Xk+thLaearTxVKGNhwptPVXo0yvqrrPVjUYjDh8+XK38fme61/fxiIgclSRJ0KmV0BluYlCngBrrCCEwcNTv0fMPf0WxoQJFhgoUG0yVXytw5vQpuAe0RrHRBEgKVKhdUKF2AZyAIgCf/JhW7ZjOGmXlrHatPLPdr/Krt6sGzholnDWqyq+W7zmGJ6LGTKtWoo2PK9r4uKJF2UVEuJXALSQc5/MqcD63AmeuFSKzVEKFpMbNMjNulplx7DqwLeN8jcdz16ngUTmZ0F2rgtlQCCeVBI1SglZp+dqmZTBcnTRwUiuhkgSuXsqAVgk4qRVwUklwUknoGdUVehcdl5UhqgGT6NSg7rS+OmAZmDuplXBSK+HrpsWWpHVILbsAwPLL6l+5nTh+DO0iuqNcoUGFQotySWP5XlJD5eSCzt17WGa/FBuRW2K5/bTIUAEAKKswo6zCjLxSy0PyoAvG/+1Kr7XNeic1fFw18JYT7JrKJLsl2e7prLZKyle1X6tS3PX21Den/BXX86rPzuHseCJqrGpbHkaSJHnN3WvmbChVBkQ/3A1mIVBQWo49P+/ATYOAzrcl8ssVKCyXkGsADmYZcTDr1z+G+vy0DV1b+6KllzNCvJzg66aFu04NN50KisrB/PHjx/DVlv3wDmwFISzPR72RdRlPZRsR1j4cZiFQYRIor6jApYx0aJSARilBrZSgUUjo3iUCnm5O8szGw4cPY+7arQhs3V5uR2bGabwFoGfPng1yXYmImpI7rdEOAKdOnMRvKyem3C5h4QT8ackGmM0CJcbK5LqxAkVlFTiatBWPD/otsgstE2iuFZShoKwCJZV3sabfKK5zG1UKCSqlBJVCAYUEqJSWpcVUCgnK2zfp1+8Viso6koRLLQfj28OXoZAkKCTL54hKoYBaKeG6b3cs2HYGTpVJeyeNAk5qSyLfSWP5/0DV985qFXQaBTRKBRNTRFTN9cvp+DbvJjqUWiaquAPQpm1Dz3aRiIjph9wSy0TCE6lHUGQ0Q+fhj1KThDKzBKPZElMKyipQUFaBi9UfY/Grk6fv3piN2yEBcFJbkuouagktfPTwcdPBu3IFAL1Oibxrl+GuVcBdK8Fdo4CLRkJU9+6cgEIOjUl0atRqTbr/ZRx6j361xvd88fY4BN48AgBwq9xaAjh09Bh+//dFKCs3oazcjNJyE8rKTdj+XSK6DRyFUqMJJfJWgWJDOSApkF9ajvzScpy7XvdBexW1UoJGqYBapYBaaRk4a1SWgbdGpUCGiIC+XZBlwC5BHryfvXAS8euPw1mjhIvWMhh30ajgrK38emu5ViXPuOEtXETU2CgkCR7OGniJAvh66hEd2wEAkLTxW5Q5+cCzTSSyCw24VlCG3BIjbpSasfXktbsfWB0O3Hqnq7odPtpdAOw+cPf3bv0FAKBRKuDlooFOKkeJWyTyzR5w1argplNBClAgI78C7YuN8HBWM+lBRHSLO63RDtRtnXaFQoKrTgVX3a//Jd2y/Uscu265M0gBIBCAv6RChcoJF7Jy4B8ajgqVs2VTW76alFpIKg10rnqUGk0wmswAgAqzQIVZADDff0ddAlFys7TmfT6dMWdLHRJSt1AqKicMaX6deKNTK6BVKaGt/KpTW+6a1arq+FWtqH7Myu/VSs7GJ2oqapuoolMrEah3QqDeCYUp16B01yP6kYfkens2/gc5+YVo3SkK5WYJRjNw/vRJuPi1QkDrMJSbzKgwC1zNOIey8nK4ePjAJCQU5OdB6eQKjZOr5VkXFQLGChMgSRAASsoFSsoFckqBiwV3ysxXEgL6jVvh4+4MvZMaeic13Cu/yq91aqgUApmXMqCpnB1vmSkPdOscAVcnHRSS5f8PisocSdUfMSUJMFWU4+iRFEiAPDavy52jvOuU6guT6ORw7jTbvWqW5K1+Sk/Co2ETqtX/19vj0DmqJ8oVWpQrNCiXLF9Vzm7o/nBv3Cgy4EaRAXml5SgrN+FmfhEqoICQlPIxyk0C5SYTYDRVOz4AQO2JorwaBua6ECxPyrinfgOATq2Qk+1qpaLa+u+3J4EkQP5AsnxQVb22fGCpFQpoKwfyJ46lotxogEKYoRAmKGCCQpjhrlPh2adGQKtSQFs5oLdslkG9Tv5PgeUPCWqlAqqqPy4oFUz8EzVTSpjhrjCgW0tPuSztSDL8tOVQ+bTE9WIzsktMyC8zoaRcoLQyjAoBlJeXw2iWoNZo5HhVVlQIk7kCTk7OkCAgASgpyodK6wKNsytMlckUY3kFzAIwQ4LRZEZWQZncomyrdXt12Ls9D29v3wKdWoEgveUB14F6JwR5WL76uCiRdzUD+spZOIp7GMwTEVF1d0rOJ4wfhknvf1Ljvn9MGI7WkZEAAAEJZoUaZoUKkBQQkHDm3Hm88PcFMAtAQFi+CsvXxH9MQ+s27SoTR5Llq6QAIOHSlav4zR/fghCAySxQbjKj3CxQYTLj7KHdGDx4MErLLZNwSisn4pSWm1FqrLAqtyTzLccoqlzipiGoFJXL76iVlTPlq+6YVVpN7LGe7FP5WqWovIvrlnKVAlqlAmqVJL9HrbJ+r+V76/e5aFTQqTkLn8gWFAACgoIREdn518KsNCiVBYgO9ZKL9p3bCaWbHtG9LRNa9m38D5QqPaJjBsp19m78DyRnD0T06gtjhRlGkxkpSTuRV1IGn5B2MJolGMwSbty4AYWLBxQ6N5SWm2CsMAOShHyDQP59TD4EAGzddU/VJQhACGjWb4FGpYJS+eudRiqFAk4aJVwqJxsaSgpw4Uo2XN3coJIElBJQmncdA86VomP7tnDVquCsVUEjCVxMPwOdUoJOZdm0SqA7Z9hTpWaVRP/888/xySefIDMzE506dcL8+fPx6KOP2rtZ1EiVm4HY0ROrlX/x9jj43jwGAHCp3ACg4MhRTJy5VF5GoMJshslsGZyvmPU2npucAJNZwCQEzGYBk1lg/bL5GPKHN+RyU2V5RsouDB86FMXGCpQYTJavRhOOnDyNsgoJZkkJk6SESVLBJCkByTLLpKzcjLJyI3Lu83PrjhR+QC3PAHzvv8fu+7CSBMugXCFBrVJApbAM2FVKy8D+1sS7+pYylcIyQLfcUmtdV62SLEn8yoS+pnJwr1UroFEqfy27ZX9V/aq66qr/WPC220aFcdyx5V1NR3reTXTo6gQlLDMQcw5vg5OTK7p3/XVZlWN7tsG/XSSie/866N+38T9QuugR/dhtZWrr/xzs2/gf5ObdRFjnnvJ/BE4fPwLXoDbwbf2QJblRVoGcvAKUC6DEpERZuRnnbxTj/B2XERDQKgBFRSkCNl1BkLc7vJwU8K7cYrt2QEsfd3i7aO661BeRo2IMJ1u528z4hPHD4F3D0jIAYLx2Dk/NmF/r+x4KcK9xX8HG/fj4qb/UuG/si+ORfTMPHpWvqxL7QqGEWVLhTMYlPPf2Pypny5thMgl55vyWNV/Av0UIhKSEkFSV71FCSErkFZWgbdcYVJjNqDBZ/t9Q9f+O4qJC6JxdUVpuQmXOHhUNnLS/E0lC9Ttqq+601arkZJeLtvKrRglnrcrqblwXrVKeda9TKeUZ+fxcbTiM445NAqCUROXkQ0uZhyiEt48e0T06yfUsCfgyRMda/nhpMgsk/fgdcoqKERzWGeVmCeUCuHj+LKB1gbtvC5QLCeVmCQX5uVA5uULr4o7yyjhWWlYGMySrCYl3U/VHT4MJMJjqEOOUnsgpueW1KgjLjhYDR4/e5UQCuv9thZuTRo5TTmoFTIZiea15jRJQQkCjtNw5oFZIlX+EBMLatIaLTgOtSin/4fLWPzzCbMLZtJNQKSqXIVMAwlQBlQLQ3pa450Qd+2s2SfS1a9ciLi4On3/+OXr37o0vvvgCQ4YMwYkTJ9CyZUt7N4+akLut666QJGhUEjT49fZJqTgHvm7VB+5S9mmE+btVK9//2X9wqLT6A0NKKh/AeishBL545yV07hYtJ9XNkgrmynnoFzLOo1XrNsBt89LPnDuHoX+aajlG5XEEgPVL52Loi3+GAGCuHMxXmAR++u8qxAx9Th6oV5Vnp59CdFR3GCosy+QYKkwwVJhx4UoWys2AGQoISQGzpLS0SVLc1n5Y/soN1D5j387Ut83C0SgVyMvNgdlkggJmSMJc+VVAp5LQNbKjXF+rqlwPU63Ew6FeeKy9r72702QxjjcPNd3KqnTR13h764Oco22nX49nuJoGpaIY0a1vma2zMQm5eTfRvktPlJoklJokXM28itaBvlC5+yKn1IQrN0uQW66EUVhmLBrMABTOSC8F0i8brM45Z99+AJYlZPz1WsuMdr0OAbfMbA/U66B3UsvP2NCpFFDxVnxyEIzh5GjutC788RMnMfnzb2t9b8L4YQjycKpx3//SfsHzUzbU+r7h456qcd8/JgxHu8hIy7heUtySgFfBrFDh0uUrCGrVBkKhqkzQKyvrKXD12nX0+d1L8qQe8y0TfFJ2boKHt69c99f3KVFSZoB/6/byRKBbJwuVlpZAobT84QCwjPnlhH6hocY+3K+qpW1KiwogTOWQzBVQCJPVVye1Eh/8aQSGRAbW67mbE8Zxqo1SIUGDCgT7+yG6a6Rcvi/7FJQuQHRMx1/LqmbA94y0LqucDFOVl9i36Rvk5uXioS4Py89AOrF/J3zbdEKXmD4wC+DQ9u+RV5CPth27QgjL4l1nj+yHpHNFSFgnVAgJJgFcOHsKrr4h8vI25SYzbubkIMjTGTpXfeVyvibcLChCbqkJZkmBclPlXyMlCWUVAmWFBly/n4uTcvx+3gUAUEBYkuuSgCg3IGRnHvy9LctPumhVlV8tif1fy5TyCgxVf3ys2tdUlvgSQlh+npW/C6LyLjIhLH+ksKdmk0SfO3cuXnrpJfzpT38CAMyfPx8//vgjFi1ahISEhGr1DQYDDIZfP9zz8/MBAAUFBfd03nKjEWXFRdXKzaYKm5Y3xDl4btu1qay8ApFDX6pWnrRvQo31DQYDuv/2DzWe+/jfJuCRV6bUWO6rrb5GpMg6hSDnqlcSqpLv288nIdJ3XLX6h5L3Y/aIZ6qVv/T6l+g+qvq69UIIfPH+a/jj+wthrhqoVw6418x/H7+bFG95LQTMZsAkBL5fsQCDf/+apX5luVkI/Lx+DWJ++6xVXbNZ4PCuLejUqz9M+HV2f9V25XwanF3dYZYUEFDIXyvMApJKDTOUlqkyt17fyq06ZeV2i3Ig81DND6r94yOh6BpQ8yyo21XFGiFEneo3B/cSx+sjhhcXF+Ni2lEYyn6dspB18SyUOhecdnO1a1ljaUdz6EOFoQRqAGoAVy4eRsqRHLQItTyAtCztKEJatUdYZDSMZqDMLOHsiWMwO7nBK6gNDCYJpWYJBSUGKNQ6FJuUKANwoaQIFzJRJ0oJUCosy3FZ1n/8NTLL38tfrWPX7fHjbtHk9nBT7/Xv8v6717/zG6rtvefj37m+JEk48N6AOv8HhHHcmr3G4hXl5bWPz8ymet9nq+M2pfbY45z2aI+hogJ9X5xW477kN0Y3qvYAwJw3RmP81A9r3dfJ55Ua9yXtS8Sr//x3re978g77Jv/z3xBCoLxyKZwKkxnlJgGjyYy1Cz7C8AlvW9ZiNlU+ELxyXeYjSdvg7u0Ds0IFs6S2zOKXlDAr1DBBAajUwC0zVksNwK8LZKoASVW5buWv7SkAcPhcJnq3ckFdMIZXx7F40xvHNuU+ZN8yFq8ijCXIyTiBy+6WhEXuxZNQ6lygrvj1blFlyQ0ozaVwF5WxUgJu5J6FojQTHh6/5j+U2WfxqLc/Orb+NcF/4sQ5bM+6Bv9W7SqTuMCJQ3tQUFAI35ZtKycGKpB99Qpc/IPh2yIUJsuqMrh29RKg1kDvFQCTkGACUFpSBE8XJ2icnFFuttwdVFxmQH5RGSSVBgISTGYzoFABCmXlgpS/MgO4dY79qcwCnMq8t3HQrdQKyMvpVv3/ofISySmQ6t9bXlT9ccPyPWr+Hr+Op6smalZ9f+vAu3q9X7+/E0kCUuMH16GnFjaJ46IZMBgMQqlUim+//daq/I033hCPPfZYje95//33BSp/nty4ceNmr+3SpUsNESYbvXuN44zh3Lhxaywb4zjH4ty4cWu6G2O4Bcfi3Lhxa6pbfcbxZjET/caNGzCZTPD397cq9/f3R1ZWVo3vmTZtGt566y35tdlsxs2bN+Ht7V3n9ZELCgoQEhKCS5cuwd295rX0HB2vAa9BFV6He7sGQggUFhYiKCiogVrXuN1rHGcMb3i8XnXHa1V3TflaMY7/imPxB8N+NC7sR+Niq34whlvjWPz+OUI/2IfGwxH60VB9sEUcbxZJ9Co13eZcWwDXarXQaq2XXfDw8Liv87q7uzfZX+76wmvAa1CF16Hu10Cv1zdAa5qWusZxxnD74fWqO16rumuq14px3BrH4g+G/Whc2I/GxRb9YAyvjmPx++cI/WAfGg9H6EdD9KG+43jTWFX+Afn4+ECpVFb7C2l2dna1v6QSEVHjwzhORNR0MYYTETVtjONERM0kia7RaBAVFYUtW7ZYlW/ZsgWxsbF2ahUREdUV4zgRUdPFGE5E1LQxjhMRNaPlXN566y2MHTsW0dHRiImJweLFi3Hx4kW88krNTyGvD1qtFu+//36125iaE14DXoMqvA68Bg+qoeM4f173hter7nit6o7XynFwLH7/2I/Ghf1oXBylH00Bx+L3xxH6wT40Ho7Qj6bcB0kIIezdiIby+eefY/bs2cjMzERERATmzZuHxx57zN7NIiKiOmIcJyJquhjDiYiaNsZxImrOmlUSnYiIiIiIiIiIiIjoXjSLNdGJiIiIiIiIiIiIiO4Hk+hERERERERERERERLVgEp2IiIiIiIiIiIiIqBZMohMRERERERERERER1YJJdBv5/PPPERoaCp1Oh6ioKPzyyy/2bpLNxMfHQ5Ikqy0gIEDeL4RAfHw8goKC4OTkhL59++L48eN2bHH9+PnnnzFs2DAEBQVBkiT897//tdpfl34bDAZMmjQJPj4+cHFxwfDhw3H58uUG7MWDuds1eOGFF6r9bvTq1cuqTlO+BgkJCejRowfc3Nzg5+eHkSNHIi0tzapOc/g9cFTNKY7XpD5iuyP/bjfUZ0Bubi7Gjh0LvV4PvV6PsWPHIi8vz8a9q18N9VnhCNeK6k9Ti+FNdTztKONhRxnTOsrYtC79aCo/E7p/TSmON8UYzvj9K3v2g3G78fws6oJJdBtYu3Yt4uLi8O677+Lw4cN49NFHMWTIEFy8eNHeTbOZTp06ITMzU95SU1PlfbNnz8bcuXOxcOFCHDhwAAEBARg4cCAKCwvt2OIHV1xcjC5dumDhwoU17q9Lv+Pi4rBu3TokJiZi165dKCoqwtChQ2EymRqqGw/kbtcAAJ544gmr340ffvjBan9TvgY7d+7Ea6+9hr1792LLli2oqKjAoEGDUFxcLNdpDr8Hjqg5xvGaPGhsd+Tf7Yb6DBgzZgxSUlKwadMmbNq0CSkpKRg7dqzN+1efGuqzwhGuFdWPphrDm+J42lHGw44ypnWUsWld+gE0jZ8J3Z+mGMebWgxn/P6VPfvBuN14fhZ1IqjePfzww+KVV16xKnvooYfEX//6Vzu1yLbef/990aVLlxr3mc1mERAQID7++GO5rKysTOj1evGvf/2rgVpoewDEunXr5Nd16XdeXp5Qq9UiMTFRrnPlyhWhUCjEpk2bGqzt9eX2ayCEEOPGjRMjRoyo9T2Odg2ys7MFALFz504hRPP8PXAUzS2O1+RBY3tz+t221WfAiRMnBACxd+9euc6ePXsEAHHq1Ckb98o2bPVZ4YjXiu5fU4zhjjCedpTxsCONaR1lbHp7P4Rouj8TqpumFsebegxn/G48/WDcblz9uB1notczo9GI5ORkDBo0yKp80KBBSEpKslOrbO/MmTMICgpCaGgonn32WZw/fx4AkJ6ejqysLKvrodVq0adPH4e+HnXpd3JyMsrLy63qBAUFISIiwqGuzY4dO+Dn54f27dtj/PjxyM7Olvc52jXIz88HAHh5eQHg70FT1VzjeE0eJLY359/t+ro+e/bsgV6vR8+ePeU6vXr1gl6vd7hr+KCfFc3pWtGdNeUY7mjjaUf7rGiKY1pHGZve3o8qTfFnQnfXVOO4I8XwphoratOUYgXjduPqx+2YRK9nN27cgMlkgr+/v1W5v78/srKy7NQq2+rZsye+/PJL/Pjjj1iyZAmysrIQGxuLnJwcuc/N6XoAqFO/s7KyoNFo4OnpWWudpm7IkCH46quvsH37dsyZMwcHDhxAv379YDAYADjWNRBC4K233sIjjzyCiIgIAPw9aKqaYxyvyYPG9ub8u11f1ycrKwt+fn7Vju/n5+dQ17A+Piuay7Wiu2uqMdwRx9OO9FnRFMe0jjI2rakfQNP8mVDdNMU47mgxvCnGito0pVjBuN24+lETlb0b4KgkSbJ6LYSoVuYohgwZIn8fGRmJmJgYtG3bFitWrJAfEtCcrset7qffjnRtnnnmGfn7iIgIREdHo1WrVvj+++8xatSoWt/XFK/B66+/jqNHj2LXrl3V9jX334OmqrnGrSq2iu3N6TrWx/Wpqb6jXcP6+qxoDteK6q6pxXBHHk87wmdFUxzTOsrYtLZ+NMWfCd2bphTzHDWGN6VYUZumFCsYt2vWmH6nOBO9nvn4+ECpVFb7K0l2dna1vxw5KhcXF0RGRuLMmTPyE6mb2/WoS78DAgJgNBqRm5tbax1HExgYiFatWuHMmTMAHOcaTJo0CevXr8dPP/2E4OBguZy/B00T43jN7jW2N+ff7fq6PgEBAbh27Vq141+/ft2hr+H9fFY012tF1TlKDHeE8bQjf1Y09jGto4xNa+tHTRr7z4TqzhHieFOP4U0tVtyLxhorGLcbVz9qwyR6PdNoNIiKisKWLVusyrds2YLY2Fg7taphGQwGnDx5EoGBgQgNDUVAQIDV9TAajdi5c6dDX4+69DsqKgpqtdqqTmZmJo4dO+aw1yYnJweXLl1CYGAggKZ/DYQQeP311/Htt99i+/btCA0NtdrP34OmiXG8Zvca25vz73Z9XZ+YmBjk5+dj//79cp19+/YhPz/foa/h/XxWNNdrRdU5Sgx3hPG0I39WNNYxraOMTe/Wj5o01p8J3TtHiONNPYY3lVhxPxpbrGDcbjw/izqx2SNLm7HExEShVqvF0qVLxYkTJ0RcXJxwcXERGRkZ9m6aTUyePFns2LFDnD9/Xuzdu1cMHTpUuLm5yf39+OOPhV6vF99++61ITU0Vzz33nAgMDBQFBQV2bvmDKSwsFIcPHxaHDx8WAMTcuXPF4cOHxYULF4QQdev3K6+8IoKDg8XWrVvFoUOHRL9+/USXLl1ERUWFvbp1T+50DQoLC8XkyZNFUlKSSE9PFz/99JOIiYkRLVq0cJhr8Oqrrwq9Xi927NghMjMz5a2kpESu0xx+DxxRc4vjNamP2O7Iv9sN9RnwxBNPiM6dO4s9e/aIPXv2iMjISDF06NAG7++DaKjPCke4VlQ/mmIMb6rjaUcZDzvKmNZRxqZ360dT+pnQ/WlqcbwpxnDG78bRD8btxvOzqAsm0W3ks88+E61atRIajUZ0795d7Ny5095NsplnnnlGBAYGCrVaLYKCgsSoUaPE8ePH5f1ms1m8//77IiAgQGi1WvHYY4+J1NRUO7a4fvz0008CQLVt3LhxQoi69bu0tFS8/vrrwsvLSzg5OYmhQ4eKixcv2qE39+dO16CkpEQMGjRI+Pr6CrVaLVq2bCnGjRtXrX9N+RrU1HcAYtmyZXKd5vB74KiaUxyvSX3Edkf+3W6oz4CcnBzx/PPPCzc3N+Hm5iaef/55kZub20C9rB8N9VnhCNeK6k9Ti+FNdTztKONhRxnTOsrY9G79aEo/E7p/TSmON8UYzvjdOPrBuN14fhZ1IQkhxP3MYCciIiIiIiIiIiIicnRcE52IiIiIiIiIiIiIqBZMohMRERERERERERER1YJJdCIiIiIiIiIiIiKiWjCJTkRERERERERERERUCybRiYiIiIiIiIiIiIhqwSQ6EREREREREREREVEtmEQnIiIiIiIiIiIiIqoFk+hENpCVlYWBAwfCxcUFHh4eD3Ss+Ph4dO3atV7aRURETYckSfjvf/9r72YQEdWrmsbJ9xLvGltsXL58+QOP94mIqPHKyMiAJElISUmxd1PIzphEJ3oAtSW4582bh8zMTKSkpOD06dMPdI4pU6Zg27Zt8usXXngBI0eOfKBjEhE1Jo3tj4WOmhDp27cv4uLi7N0MImom7mWcnJmZiSFDhjRwCxsnJmuIqKE0tjF4TZpCG+9H69atMX/+fHs3g+6Ryt4NIHJE586dQ1RUFMLCwmqtU15eDrVafddjubq6wtXVtT6bR0REDaSusZ6IqLmoaZwcEBBgxxYBJpMJkiRBoeAcMyIiR8VxOT0ojhKo2ejbty8mTZqEuLg4eHp6wt/fH4sXL0ZxcTFefPFFuLm5oW3btti4cSMAYMeOHZAkCdu2bUN0dDScnZ0RGxuLtLQ0AJaZitOnT8eRI0cgSRIkScLy5cvRunVrfPPNN/jyyy8hSRJeeOEFAJZbT//1r39hxIgRcHFxwYwZM2qc7fjf//4XkiTJr2/9y2t8fDxWrFiB7777Tj7njh07YDQa8frrryMwMBA6nQ6tW7dGQkKCza8pETU/DRVLAUvc/OKLLzB06FA4OzujQ4cO2LNnD86ePYu+ffvCxcUFMTExOHfunFUbN2zYgKioKOh0OrRp0wbTp09HRUWFvH/u3LmIjIyEi4sLQkJCMHHiRBQVFcntffHFF5Gfny+3Jz4+HoBlxsiHH36IMWPGwNXVFUFBQViwYIHVuWuK9QCwaNEitG3bFhqNBuHh4Vi5cqXV+86cOYPHHnsMOp0OHTt2xJYtW6z2V13HvLw8uSwlJQWSJCEjI0Mu2717N/r06QNnZ2d4enpi8ODByM3NxQsvvICdO3fi008/lfuVkZGB3NxcPP/88/D19YWTkxPCwsKwbNmye/iNICJH0BjGyVVLtNRlXHvjxg08+eSTcHZ2RlhYGNavXy/vq2rb999/jy5dukCn06Fnz55ITU2V61SNwf/3v/+hY8eO0Gq1uHDhAnJzc/GHP/wBnp6ecHZ2xpAhQ3DmzBmrcy9fvhwtW7aEs7MznnzySeTk5Fjtr+mu0bi4OPTt21d+bTabMWvWLLRr1w5arRYtW7bERx99BAAIDQ0FAHTr1g2SJMnv27FjBx5++GF5GZzevXvjwoULdfwJE1FT15Bj8Pj4eLRs2RJarRZBQUF44403AAALFixAZGSk3Kaq3MVnn30mlw0ePBjTpk2TX99tXJ6fn4+XX34Zfn5+cHd3R79+/XDkyJG7tlGSJCxatAhDhgyBk5MTQkND8fXXX8vHrbqr59///jf69u0LnU6HVatWwWw244MPPkBwcDC0Wi26du2KTZs2WV3r/fv3o1u3btDpdIiOjsbhw4et9tcljwMA69evR3R0NHQ6HXx8fDBq1Cj5Z3nhwgX8+c9/lvsFABcuXMCwYcPg6ekJFxcXdOrUCT/88ENtvxJkD4KomejTp49wc3MTH374oTh9+rT48MMPhUKhEEOGDBGLFy8Wp0+fFq+++qrw9vYWxcXF4qeffhIARM+ePcWOHTvE8ePHxaOPPipiY2OFEEKUlJSIyZMni06dOonMzEyRmZkpSkpKRHZ2tnjiiSfE6NGjRWZmpsjLyxNCCAFA+Pn5iaVLl4pz586JjIwMsWzZMqHX663auW7dOnHrP833339fdOnSRQghRGFhoRg9erR44okn5HMaDAbxySefiJCQEPHzzz+LjIwM8csvv4jVq1c3yHUloualoWKpEJa42aJFC7F27VqRlpYmRo4cKVq3bi369esnNm3aJE6cOCF69eolnnjiCbl9mzZtEu7u7mL58uXi3LlzYvPmzaJ169YiPj5erjNv3jyxfft2cf78ebFt2zYRHh4uXn31VSGEEAaDQcyfP1+4u7vL7SksLBRCCNGqVSvh5uYmEhISRFpamvjnP/8plEql2Lx5s3zsmmL9t99+K9Rqtfjss89EWlqamDNnjlAqlWL79u1CCCFMJpOIiIgQffv2FYcPHxY7d+4U3bp1EwDEunXrhBBCvo65ubnyuQ4fPiwAiPT0dPm1VqsVr776qkhJSRHHjh0TCxYsENevXxd5eXkiJiZGjB8/Xu5XRUWFeO2110TXrl3FgQMHRHp6utiyZYtYv359/f7SEFGj1xjGyVXx7m7jWgAiODhYrF69Wpw5c0a88cYbwtXVVeTk5Aghfo2XHTp0EJs3bxZHjx4VQ4cOFa1btxZGo1EIIcSyZcuEWq0WsbGxYvfu3eLUqVOiqKhIDB8+XHTo0EH8/PPPIiUlRQwePFi0a9dOft/evXuFJEny58Cnn34qPDw8rMbz48aNEyNGjLC6vm+++abo06eP/Hrq1KnC09NTLF++XJw9e1b88ssvYsmSJUIIIfbv3y8AiK1bt4rMzEyRk5MjysvLhV6vF1OmTBFnz54VJ06cEMuXLxcXLlyot98BImrcGipOf/3118Ld3V388MMP4sKFC2Lfvn1i8eLFQgghjh49KiRJEtevXxdCCBEXFyd8fHzE008/LYQQory8XLi6uoqNGzcKIe4+LjebzaJ3795i2LBh4sCBA+L06dNi8uTJwtvbW+Tk5Nz1/wne3t5iyZIlIi0tTbz33ntCqVSKEydOCCGESE9PFwBE69atxTfffCPOnz8vrly5IubOnSvc3d3FmjVrxKlTp8TUqVOFWq0Wp0+fFkIIUVRUJHx9fcUzzzwjjh07JjZs2CDatGkjAIjDhw8LIUSd8jj/+9//hFKpFH//+9/FiRMnREpKivjoo4+EEELk5OSI4OBg8cEHH8j9EkKI3/72t2LgwIHi6NGj4ty5c2LDhg1i586d9fdLRA+MSXRqNvr06SMeeeQR+XVFRYVwcXERY8eOlcsyMzMFALFnzx75Q2fr1q3y/u+//14AEKWlpUII6wT3rUaMGCHGjRtnVQZAxMXFWZXdaxJdiJoH5pMmTRL9+vUTZrP5TpeAiOiBNWQsBSDee+89+fWePXsEALF06VK5bM2aNUKn08mvH330UTFz5kyr46xcuVIEBgbW2qd///vfwtvbW35dU2wWwpJEvzVhL4QQzzzzjBgyZIhVm2+P9bGxsWL8+PFWZU8//bT4zW9+I4QQ4scffxRKpVJcunRJ3r9x48Z7TqI/99xzonfv3rX2s0+fPuLNN9+0Khs2bJh48cUXa30PETUPjWGcXBXv7jauvf2zoaioSEiSJCdtqtqWmJgo18nJyRFOTk5i7dq1QghLnAcgUlJS5DqnT58WAMTu3bvlshs3bggnJyfx73//WwhhibM1fQ7cSxK9oKBAaLVaOWl+u6rET1Wypqr9AMSOHTtqfA8ROb6GitNz5swR7du3l/94eCuz2Sx8fHzEf/7zHyGEEF27dhUJCQnCz89PCCFEUlKSUKlU8gSUu43Lt23bJtzd3UVZWZlVnbZt24ovvvii1jYKYfkseOWVV6zKevbsKU+MqYql8+fPt6oTFBQkJ7Or9OjRQ0ycOFEIIcQXX3whvLy8RHFxsbx/0aJF95xEj4mJEc8//3y1dldp1aqVmDdvnlVZZGSk1cQfany4nAs1K507d5a/VyqV8Pb2trodyd/fHwCQnZ1d43sCAwOr7b8X0dHR9/W+u3nhhReQkpKC8PBwvPHGG9i8ebNNzkNEBDRsLL31fVXHvf1cZWVlKCgoAAAkJyfjgw8+kJ8n4erqivHjxyMzMxMlJSUAgJ9++gkDBw5EixYt4Obmhj/84Q/IyclBcXHxXdsTExNT7fXJkyetym6P9SdPnkTv3r2tynr37i2/7+TJk2jZsiWCg4NrPU9dpKSkoH///vf0nldffRWJiYno2rUrpk6diqSkpHs+LxE5BnuPk6vUZVx763ldXFzg5uZW7by3xlEvLy+Eh4dbxWuNRmN1nJMnT0KlUqFnz55ymbe3t9X7Tp48WePnwL04efIkDAbDPcVrLy8vvPDCCxg8eDCGDRuGTz/9FJmZmfd0XiJq+hoiTj/99NMoLS1FmzZtMH78eKxbt05efkWSJDz22GPYsWMH8vLycPz4cbzyyiswmUw4efIkduzYge7du8vPdLvbuDw5ORlFRUXw9va2qpOenl5tucaa3Ou4vKCgAFevXr3ruLxLly5wdnau9Tx1cT/j8jfeeAMzZsxA79698f777+Po0aP3fF6yLSbRqVm5/SESkiRZlVWtRWU2m2t8T03774WLi4vVa4VCASGEVVl5efk9H7d79+5IT0/Hhx9+iNLSUowePRq/+93v7quNRER305CxtKb33elYZrMZ06dPR0pKirylpqbizJkz0Ol0uHDhAn7zm98gIiIC33zzDZKTk+V1HO8n/t7ahiq3x/qa6ggh5LLbPwdqql/1sLtb697eXicnp3totcWQIUNw4cIFxMXF4erVq+jfvz+mTJlyz8choqbP3uPkKnUZ19bU1rqc99bY6uTkZPW6plhcVX6neH27u43v7ydWA8CyZcuwZ88exMbGYu3atWjfvj327t17X8cioqapIeJ0SEgI0tLS8Nlnn8HJyQkTJ07EY489Jsexvn37YseOHfjll1/QpUsXeHh44LHHHsPOnTuxY8eOas9/uNO43Gw2IzAw0Gp/SkoK0tLS8Je//OW+rpEtxuW3q0se535i/Z/+9CecP38eY8eORWpqKqKjo6s9f4nsi0l0ogeg0WhgMpnu+/2+vr4oLCy0mv2YkpJyX+d0d3fHM888gyVLlmDt2rX45ptvcPPmzftuGxFRQ3nQWHqr7t27Iy0tDe3atau2KRQKHDx4EBUVFZgzZw569eqF9u3b4+rVq3Vuz+0Ji7179+Khhx66Y5s6dOiAXbt2WZUlJSWhQ4cOAICOHTvi4sWLVu3Ys2ePVX1fX18AsJp5ePvnRefOnbFt27Za21Fbv3x9ffHCCy9g1apVmD9/PhYvXnzH/hAR1cWDxPb6GNfeGq9zc3Nx+vTpO8brjh07oqKiAvv27ZPLcnJycPr0aat4XdPnwK18fX2rzRK/NV6HhYXBycmp1nit0WgAoMZr161bN0ybNg1JSUmIiIjA6tWra+0PEdHd1BannZycMHz4cPzzn//Ejh07sGfPHvnhzH379sXx48fxn//8R06Y9+nTB1u3bkVSUhL69OkjH+du4/Lu3bsjKysLKpWq2n4fH587thG493G5u7s7goKC7jouP3LkCEpLS2s9T13yOPc7Lg8JCcErr7yCb7/9FpMnT8aSJUtqPQY1PJW9G0DUlLVu3Rrp6elISUlBcHAw3NzcoNVq6/z+nj17wtnZGe+88w4mTZqE/fv3y0+bvtM5f/zxR6SlpcHb2xt6vR4LFy5EYGAgunbtCoVCga+//hoBAQHVnhhNRNQYPWgsvdXf//53DB06FCEhIXj66aehUChw9OhRpKamYsaMGWjbti0qKiqwYMECDBs2DLt378a//vWvau0pKirCtm3b5Ns5q27p3L17N2bPno2RI0diy5Yt+Prrr/H999/fsU1/+ctfMHr0aHTv3h39+/fHhg0b8O2332Lr1q0AgAEDBiA8PBx/+MMfMGfOHBQUFODdd9+1Oka7du0QEhKC+Ph4zJgxA2fOnMGcOXOs6kybNg2RkZGYOHEiXnnlFWg0Gvz00094+umn4ePjg9atW2Pfvn3IyMiAq6srvLy8EB8fj6ioKHTq1AkGgwH/+9//5P9EEBE9iPuN7fPmzauXce0HH3wAb29v+Pv7491334WPjw9GjhxZa/2wsDCMGDEC48ePxxdffAE3Nzf89a9/RYsWLTBixAgAllvtY2Nj5c+BzZs3Y9OmTVbH6devHz755BN8+eWXiImJwapVq3Ds2DF069YNAKDT6fD2229j6tSp0Gg06N27N65fv47jx4/jpZdegp+fH5ycnLBp0yYEBwdDp9Ph5s2bWLx4MYYPH46goCCkpaXh9OnT+MMf/nBP14SI6FY1xek1a9bAZDLJuYqVK1fCyckJrVq1AgBERETA29sbX331Fb777jsAlsT65MmTAQCPPPKIfPy7jcsHDBiAmJgYjBw5ErNmzUJ4eDiuXr2KH374ASNHjkR0dPQdP0u+/vprREdH45FHHsFXX32F/fv3Y+nSpXfs81/+8he8//77aNu2Lbp27Yply5YhJSUFX331FQBgzJgxePfdd/HSSy/hvffeQ0ZGBv7xj39YHaMueZz3338f/fv3R9u2bfHss8+ioqICGzduxNSpU+Vr//PPP+PZZ5+FVquFj48P4uLiMGTIELRv3x65ubnYvn07x+WNDGeiEz2Ap556Ck888QQef/xx+Pr6Ys2aNff0fi8vL6xatQo//PADIiMjsWbNGsTHx9/xPePHj0d4eDiio6Ph6+uL3bt3w9XVFbNmzUJ0dDR69OiBjIwM/PDDD/Lt/0REjdmDxtJbDR48GP/73/+wZcsW9OjRA7169cLcuXPlgX/Xrl0xd+5czJo1CxEREfjqq6+QkJBgdYzY2Fi88soreOaZZ+Dr64vZs2fL+yZPnozk5GR069YNH374IebMmYPBgwffsU0jR47Ep59+ik8++QSdOnXCF198gWXLlsmzdxQKBdatWweDwYCHH34Yf/rTn/DRRx9ZHUOtVmPNmjU4deoUunTpglmzZmHGjBlWddq3b4/NmzfjyJEjePjhhxETE4PvvvsOKpVlzsSUKVOgVCrRsWNH+Pr64uLFi9BoNJg2bRo6d+6Mxx57DEqlEomJifd17YmIbnW/sb2+xrUff/wx3nzzTURFRSEzMxPr16+XZ3nXZtmyZYiKisLQoUMRExMDIQR++OEHeTmEXr164f/+7/+wYMECdO3aFZs3b8Z7771ndYzBgwfjb3/7G6ZOnYoePXqgsLCwWrL7b3/7GyZPnoy///3v6NChA5555hl5jWKVSoV//vOf+OKLLxAUFIQRI0bA2dkZp06dwlNPPYX27dvj5Zdfxuuvv44JEybc0zUhIrpVTXHaw8MDS5YsQe/eveXZ1Bs2bIC3tzcAy1IoVbPNH330UQCWWdd6vR7dunWDu7u7fPy7jcslScIPP/yAxx57DH/84x/Rvn17PPvss8jIyJDXd7/TZ8n06dORmJiIzp07Y8WKFfjqq6/QsWPHO/b5jTfewOTJkzF58mRERkZi06ZNWL9+PcLCwgBYPoM2bNiAEydOoFu3bnj33Xcxa9Ysq2PUJY/Tt29ffP3111i/fj26du2Kfv36Wd3p9MEHHyAjIwNt27aV7zg1mUx47bXX0KFDBzzxxBMIDw/H559/XrcfJjUISdRlwR8iIiKiZq5169aIi4tDXFycvZtCRES12LFjBx5//HHk5ubyrkwiIgclSRLWrVt3xzuMiOobp6kSEREREREREREREdWCSXQiIiIiIiIiIiIiolpwORciIiIiIiIiIiIiolpwJjoRERERERERERERUS2YRCciIiIiIiIiIiIiqgWT6EREREREREREREREtWASnYiIiIiIiIiIiIioFkyiExERERERERERERHVgkl0IiIiIiIiIiIiIqJaMIlORERERERERERERFQLJtGJiIiIiIiIiIiIiGrBJDoRERERERERERERUS2YRCciIiIiIiIiIiIiqgWT6EREREREREREREREtWASnYiIiIiIiIiIiIioFkyiExERERERERERERHVgkl0IiIiIiIiIiIiIqJaMIlORERERERERERERFQLJtGJiIiIiIiIiIiIiGrBJDoRERERERERERERUS2YRCciIiIiIiIiIiIiqoXK3g1oKsxmM65evQo3NzdIkmTv5hCRgxNCoLCwEEFBQVAo+PfOB8UYTkQNjXG8fjGOE1FDYgyvX4zhRNTQbBHHmUSvo6tXryIkJMTezSCiZubSpUsIDg62dzOaPMZwIrIXxvH6wThORPbAGF4/GMOJyF7qM44ziV5Hbm5uACwX393d3c6tISJHV1BQgJCQEDn2NFY///wzPvnkEyQnJyMzMxPr1q3DyJEj5f1CCEyfPh2LFy9Gbm4uevbsic8++wydOnWS6xgMBkyZMgVr1qxBaWkp+vfvj88//9zqgy43NxdvvPEG1q9fDwAYPnw4FixYAA8Pjzq1kzGciBpaU4njTQXjOBE1JEeK4VeuXMHbb7+NjRs3orS0FO3bt8fSpUsRFRUFoP7G63fCGE5EDc0WcZxJ9DqquuXI3d2dQZ+IGkxjv92xuLgYXbp0wYsvvoinnnqq2v7Zs2dj7ty5WL58Odq3b48ZM2Zg4MCBSEtLkz/M4uLisGHDBiQmJsLb2xuTJ0/G0KFDkZycDKVSCQAYM2YMLl++jE2bNgEAXn75ZYwdOxYbNmyoUzsZw4nIXhp7HG8qGMeJyB6aegzPzc1F79698fjjj2Pjxo3w8/PDuXPnrCai1Nd4/U4Yw4nIXuozjktCCFFvR3NgBQUF0Ov1yM/PZ9AnIptrijFHkiSrmehCCAQFBSEuLg5vv/02AMssFn9/f8yaNQsTJkxAfn4+fH19sXLlSjzzzDMAfr3d84cffsDgwYNx8uRJdOzYEXv37kXPnj0BAHv37kVMTAxOnTqF8PDwam0xGAwwGAzy66q/Qjel60lETVtTjOONGa8nETUkR4k5f/3rX7F792788ssvNe6vr/H63TjK9SSipsMWcYdPyCAiIptIT09HVlYWBg0aJJdptVr06dMHSUlJAIDk5GSUl5db1QkKCkJERIRcZ8+ePdDr9XICHQB69eoFvV4v17ldQkIC9Hq9vHENRiIiIiJqbtavX4/o6Gg8/fTT8PPzQ7du3bBkyRJ5f32N129nMBhQUFBgtRERNXVMohMRkU1kZWUBAPz9/a3K/f395X1ZWVnQaDTw9PS8Yx0/P79qx/fz85Pr3G7atGnIz8+Xt0uXLj1wf4iIiIiImpLz589j0aJFCAsLw48//ohXXnkFb7zxBr788ksA9Tdevx0ntBCRI+Ka6EREZFO3r0EmhLjrumS316mp/p2Oo9VqodVq76O1RERERESOwWw2Izo6GjNnzgQAdOvWDcePH8eiRYvwhz/8Qa5XH+P1W02bNg1vvfWW/LpqaUUioqaMM9GJiMgmAgICAKDaDJXs7Gx5tktAQACMRiNyc3PvWOfatWvVjn/9+vVqs2aIiIiIiMgiMDAQHTt2tCrr0KEDLl68CKD+xuu302q18kNE+TBRInIUTKITEZFNhIaGIiAgAFu2bJHLjEYjdu7cidjYWABAVFQU1Gq1VZ3MzEwcO3ZMrhMTE4P8/Hzs379frrNv3z7k5+fLdYiIiIiIyFrv3r2RlpZmVXb69Gm0atUKQP2N14mImgMu50JERPetqKgIZ8+elV+np6cjJSUFXl5eaNmyJeLi4jBz5kyEhYUhLCwMM2fOhLOzM8aMGQMA0Ov1eOmllzB58mR4e3vDy8sLU6ZMQWRkJAYMGADAMlvmiSeewPjx4/HFF18AAF5++WUMHToU4eHhDd9pIiIiIqIm4M9//jNiY2Mxc+ZMjB49Gvv378fixYuxePFiAJZlXOpjvE5E1BwwiU5ERPft4MGDePzxx+XXVWsfjhs3DsuXL8fUqVNRWlqKiRMnIjc3Fz179sTmzZvh5uYmv2fevHlQqVQYPXo0SktL0b9/fyxfvhxKpVKu89VXX+GNN97AoEGDAADDhw/HwoULG6iXRERERERNT48ePbBu3TpMmzYNH3zwAUJDQzF//nw8//zzcp36Gq8TETk6SQgh7N2I2sTHx2P69OlWZbc+AVoIgenTp2Px4sVysP/ss8/QqVMnub7BYMCUKVOwZs0aOdh//vnnCA4Ovqe2FBQUQK/XIz8/n+t5EZHNMebUL15PImpojDv1i9eTiBoSY0794vUkooZmi7jT6Geid+rUCVu3bpVf3/qXztmzZ2Pu3LlYvnw52rdvjxkzZmDgwIFIS0uT/2oaFxeHDRs2IDExEd7e3pg8eTKGDh2K5ORkm//V1GAwIDk5uVp5VFQUtFqtTc9NRET2VVZWhoMHD1Yrj46Ohk6ns0OLiIiIiIiahrKyMuzdu7fGfb169eJ4mogaXKNPoqtUKvmJ0bcSQmD+/Pl49913MWrUKADAihUr4O/vj9WrV2PChAnIz8/H0qVLsXLlSnmtrlWrViEkJARbt27F4MGDaz2vwWCAwWCQXxcUFNxz25OTkzFv7VYEhraXyzLTT+PPAB/AQUTk4A4ePIj5a7cgsM2v67Znnk9DHIBHHnnEbu0iIqJ78/Z703E9v7Baua/eDbNmvG+HFhEROb69e/di/trNaNG2g1X5lXMnEQegb9++9mgWETVjjT6JfubMGQQFBUGr1aJnz56YOXMm2rRpg/T0dGRlZcnr4wKAVqtFnz59kJSUhAkTJiA5ORnl5eVWdYKCghAREYGkpKQ7JtETEhKqLSVzPwJD2yO0U/cHPg4RETU9gW3C0SYi2t7NICKiB3A9vxCRw1+uVp66frEdWkNE1Hy0aNsB7br0tHcziIgAAAp7N+BOevbsiS+//BI//vgjlixZgqysLMTGxiInJ0deF93f39/qPbeumZ6VlQWNRgNPT89a69Rm2rRpyM/Pl7dLly7VY8+IiIiIiIiIiIiIqClo1DPRhwwZIn8fGRmJmJgYtG3bFitWrECvXr0AAJIkWb1HCFGt7HZ1qaPVarluOREREREREREREVEz16hnot/OxcUFkZGROHPmjLxO+u0zyrOzs+XZ6QEBATAajcjNza21DhERERERERERERFRbZpUEt1gMODkyZMIDAxEaGgoAgICsGXLFnm/0WjEzp075Yd2RkVFQa1WW9XJzMzEsWPH+GBPIiIiIiIiIiIiIrqrRr2cy5QpUzBs2DC0bNkS2dnZmDFjBgoKCjBu3DhIkoS4uDjMnDkTYWFhCAsLw8yZM+Hs7IwxY8YAAPR6PV566SVMnjwZ3t7e8PLywpQpUxAZGYkBAwbYuXdERERERERERERE1Ng16iT65cuX8dxzz+HGjRvw9fVFr169sHfvXrRq1QoAMHXqVJSWlmLixInIzc1Fz549sXnzZri5ucnHmDdvHlQqFUaPHo3S0lL0798fy5cvh1KptFe3iIiIiIiIiIiIiKiJaNRJ9MTExDvulyQJ8fHxiI+Pr7WOTqfDggULsGDBgnpuHRERERERERERERE5uia1JjoRERERERERERERUUNiEp2IiIiIiIiIiIiIqBZMohMRERERERERERER1YJJdCIiIiIiqmbRokXo3Lkz3N3d4e7ujpiYGGzcuFHe/8ILL0CSJKutV69eVscwGAyYNGkSfHx84OLiguHDh+Py5csN3RUiIiIiogfCJDoREREREVUTHByMjz/+GAcPHsTBgwfRr18/jBgxAsePH5frPPHEE8jMzJS3H374weoYcXFxWLduHRITE7Fr1y4UFRVh6NChMJlMDd0dIiIiIqL7prJ3A4iIiIiIqPEZNmyY1euPPvoIixYtwt69e9GpUycAgFarRUBAQI3vz8/Px9KlS7Fy5UoMGDAAALBq1SqEhIRg69atGDx4cK3nNhgMMBgM8uuCgoIH7Y6Vt9+bjuv5hVZlvno3zJrxfr2eh4iIiIgcA2eiExERERHRHZlMJiQmJqK4uBgxMTFy+Y4dO+Dn54f27dtj/PjxyM7OlvclJyejvLwcgwYNksuCgoIQERGBpKSkO54vISEBer1e3kJCQuq1P9fzCxE5/GWr7fakOhERERFRFSbRiYiIiIioRqmpqXB1dYVWq8Urr7yCdevWoWPHjgCAIUOG4KuvvsL27dsxZ84cHDhwAP369ZNnkGdlZUGj0cDT09PqmP7+/sjKyrrjeadNm4b8/Hx5u3Tpkm06SERERERUB1zOhYiIiIiIahQeHo6UlBTk5eXhm2++wbhx47Bz50507NgRzzzzjFwvIiIC0dHRaNWqFb7//nuMGjWq1mMKISBJ0h3Pq9VqodVq660fREREREQPgjPRiYiIiIioRhqNBu3atUN0dDQSEhLQpUsXfPrppzXWDQwMRKtWrXDmzBkAQEBAAIxGI3Jzc63qZWdnw9/f3+ZtJyIiIiKqL0yiExERERFRnQghrB74eaucnBxcunQJgYGBAICoqCio1Wps2bJFrpOZmYljx44hNja2QdpLRERERFQfuJwLERERERFV884772DIkCEICQlBYWEhEhMTsWPHDmzatAlFRUWIj4/HU089hcDAQGRkZOCdd96Bj48PnnzySQCAXq/HSy+9hMmTJ8Pb2xteXl6YMmUKIiMjMWDAADv3joiIiIio7phEJyIiIiKiaq5du4axY8ciMzMTer0enTt3xqZNmzBw4ECUlpYiNTUVX375JfLy8hAYGIjHH38ca9euhZubm3yMefPmQaVSYfTo0SgtLUX//v2xfPlyKJVKO/aMiIiIiOjeMIlORERERETVLF26tNZ9Tk5O+PHHH+96DJ1OhwULFmDBggX12TQiIiIiogbFNdGJiIiIiIiIiIiIiGrBJDoRERERERERERERUS2YRCciIiIiIiIiIiIiqgXXRCciIiIiIqonb783HdfzC63KfPVumDXjfTu1iIiIiIgeFJPoRERERERE9eR6fiEih79sVZa6frGdWkNERERE9YHLuRARERERERERERER1YJJdCIiIiIiIiIiIiKiWjCJTkRERERERERERERUCybRiYiIiIiIiIiIiIhqwSQ6EREREREREZGDiY+PhyRJVltAQIC8XwiB+Ph4BAUFwcnJCX379sXx48etjmEwGDBp0iT4+PjAxcUFw4cPx+XLlxu6K0REdsckOhERERERERGRA+rUqRMyMzPlLTU1Vd43e/ZszJ07FwsXLsSBAwcQEBCAgQMHorCwUK4TFxeHdevWITExEbt27UJRURGGDh0Kk8lkj+4QEdmNyt4NICIiIiIiIiKi+qdSqaxmn1cRQmD+/Pl49913MWrUKADAihUr4O/vj9WrV2PChAnIz8/H0qVLsXLlSgwYMAAAsGrVKoSEhGDr1q0YPHhwg/aFiMieOBOdiIiIiIiIiMgBnTlzBkFBQQgNDcWzzz6L8+fPAwDS09ORlZWFQYMGyXW1Wi369OmDpKQkAEBycjLKy8ut6gQFBSEiIkKuUxODwYCCggKrjYioqWMSnYiIiIiIiIjIwfTs2RNffvklfvzxRyxZsgRZWVmIjY1FTk4OsrKyAAD+/v5W7/H395f3ZWVlQaPRwNPTs9Y6NUlISIBer5e3kJCQeu4ZEVHD43IuREREREREREQOZsiQIfL3kZGRiImJQdu2bbFixQr06tULACBJktV7hBDVym53tzrTpk3DW2+9Jb8uKCiot0R6RbkRKSkpNe7r1asXdDpdvZyHiOh2TKITERERERERETk4FxcXREZG4syZMxg5ciQAy2zzwMBAuU52drY8Oz0gIABGoxG5ublWs9Gzs7MRGxtb63m0Wi20Wq1N+nDt4jmcvHkTZyq8rcqvnDuJOAB9+/a1yXmJiLicCxERERERERGRgzMYDDh58iQCAwMRGhqKgIAAbNmyRd5vNBqxc+dOOUEeFRUFtVptVSczMxPHjh27YxLd1nxD2qJdl55WW4u2HezWHiJqHjgTnYiIiIiIiIjIwUyZMgXDhg1Dy5YtkZ2djRkzZqCgoADjxo2DJEmIi4vDzJkzERYWhrCwMMycORPOzs4YM2YMAECv1+Oll17C5MmT4e3tDS8vL0yZMgWRkZEYMGCAnXtHRNSwOBOdiIhspqKiAu+99x5CQ0Ph5OSENm3a4IMPPoDZbJbrCCEQHx+PoKAgODk5oW/fvjh+/LjVcQwGAyZNmgQfHx+4uLhg+PDhuHz5ckN3h4iIiIioybh8+TKee+45hIeHY9SoUdBoNNi7dy9atWoFAJg6dSri4uIwceJEREdH48qVK9i8eTPc3NzkY8ybNw8jR47E6NGj0bt3bzg7O2PDhg1QKpX26hYRkV1wJjoREdnMrFmz8K9//QsrVqxAp06dcPDgQbz44ovQ6/V48803AQCzZ8/G3LlzsXz5crRv3x4zZszAwIEDkZaWJg/g4+LisGHDBiQmJsLb2xuTJ0/G0KFDkZyczAE8EREREVENEhMT77hfkiTEx8cjPj6+1jo6nQ4LFizAggUL6rl1RERNC5PoRERkM3v27MGIESPw29/+FgDQunVrrFmzBgcPHgRgmYU+f/58vPvuuxg1ahQAYMWKFfD398fq1asxYcIE5OfnY+nSpVi5cqV82+iqVasQEhKCrVu3YvDgwfbpHBERERERERE1C1zOhYiIbOaRRx7Btm3bcPr0aQDAkSNHsGvXLvzmN78BAKSnpyMrKwuDBg2S36PVatGnTx8kJSUBAJKTk1FeXm5VJygoCBEREXKd2xkMBhQUFFhtRERERERERET3gzPRiYjIZt5++23k5+fjoYceglKphMlkwkcffYTnnnsOAJCVlQUA8Pf3t3qfv78/Lly4INfRaDTw9PSsVqfq/bdLSEjA9OnT67s7RERERERERNQMcSY6ERHZzNq1a7Fq1SqsXr0ahw4dwooVK/CPf/wDK1assKonSZLVayFEtbLb3anOtGnTkJ+fL2+XLl16sI4QETVDixYtQufOneHu7g53d3fExMRg48aN8n4+GJqIiIiImgsm0YmIyGb+8pe/4K9//SueffZZREZGYuzYsfjzn/+MhIQEAEBAQAAAVJtRnp2dLc9ODwgIgNFoRG5ubq11bqfVauWkT9VGRET3Jjg4GB9//DEOHjyIgwcPol+/fhgxYoScKK96MPTChQtx4MABBAQEYODAgSgsLJSPERcXh3Xr1iExMRG7du1CUVERhg4dCpPJZK9uERERERHdMybRiYjIZkpKSqBQWH/UKJVKmM1mAEBoaCgCAgKwZcsWeb/RaMTOnTsRGxsLAIiKioJarbaqk5mZiWPHjsl1iIio/g0bNgy/+c1v0L59e7Rv3x4fffQRXF1dsXfv3moPho6IiMCKFStQUlKC1atXA4D8YOg5c+ZgwIAB6NatG1atWoXU1FRs3brVzr0jIiIiIqq7JpVET0hIgCRJiIuLk8t4GykRUeM1bNgwfPTRR/j++++RkZGBdevWYe7cuXjyyScBQI7pM2fOxLp163Ds2DG88MILcHZ2xpgxYwAAer0eL730EiZPnoxt27bh8OHD+P3vf4/IyEgMGDDAnt0jImo2TCYTEhMTUVxcjJiYGJs9GLoKHxBNRERERI1Jk0miHzhwAIsXL0bnzp2tynkbKRFR47VgwQL87ne/w8SJE9GhQwdMmTIFEyZMwIcffijXmTp1KuLi4jBx4kRER0fjypUr2Lx5M9zc3OQ68+bNw8iRIzF69Gj07t0bzs7O2LBhA5RKpT26RUTUbKSmpsLV1RVarRavvPIK1q1bh44dO97xwdBV++7nwdBVEhISoNfr5S0kJKQee0VEREREdG+aRBK9qKgIzz//PJYsWWI1CLflbaSc/UJE9ODc3Nwwf/58XLhwAaWlpTh37hxmzJgBjUYj15EkCfHx8cjMzERZWRl27tyJiIgIq+PodDosWLAAOTk5KCkpwYYNG5hQISJqAOHh4UhJScHevXvx6quvYty4cThx4oS8v74fDF2FD4gmIiIiosakSSTRX3vtNfz2t7+tdtu+LW8j5ewXIiIiImruNBoN2rVrh+joaCQkJKBLly749NNPbfZg6Cp8QDQRERERNSaNPomemJiI5ORkJCQkVNtny9tIOfuFiIiIiMiaEAIGg4EPhiYiIiKiZkVl7wbcyaVLl/Dmm29i8+bN0Ol0tdazxW2kWq0WWq323hpMREREROQg3nnnHQwZMgQhISEoLCxEYmIiduzYgU2bNlk9GDosLAxhYWGYOXNmrQ+G9vb2hpeXF6ZMmcIHQxMRERFRk9Ook+jJycnIzs5GVFSUXGYymfDzzz9j4cKFSEtLA2CZbR4YGCjXqe020ltno2dnZ3MGDBERERFRLa5du4axY8ciMzMTer0enTt3xqZNmzBw4EAAlgdDl5aWYuLEicjNzUXPnj1rfDC0SqXC6NGjUVpaiv79+2P58uV8MDQRERERNSmNOonev39/pKamWpW9+OKLeOihh/D222+jTZs28m2k3bp1A/DrbaSzZs0CYH0b6ejRowH8ehvp7NmzG7ZDRERERERNxNKlS++4v+rB0PHx8bXWqXow9IIFC+q5dUREREREDadRJ9Hd3NwQERFhVebi4gJvb2+5nLeREhEREREREREREZGtNOokel3wNlIiIiIiIiIiIiIispUml0TfsWOH1WveRkpEREREREREREREtqKwdwOIiIiIiIiIiIiIiBorJtGJiIiIiIiIiIiIiGrBJDoRERERERERERERUS2YRCciIiIiIiIiIiIiqgWT6EREREREREREREREtVDZuwFERERERESO7ODBZPxx0pRq5b56N8ya8b4dWkRERERE94JJdCIiIiIiIhsymoHI4S9XK09dv9gOrSEiIiKie8XlXIiIiIiIiIiIiIiIasEkOhERERERERERERFRLZhEJyIiIiIiIiIiIiKqBZPoRERERERERERERES1YBKdiIiIiIiIiIiIiKgWTKITEREREREREREREdWCSXQiIiIiIiIiIiIiolowiU5EREREREREREREVAsm0YmIiIiIiIiIiIiIasEkOhERERERERERERFRLZhEJyIiIiIiIiJycAkJCZAkCXFxcXKZEALx8fEICgqCk5MT+vbti+PHj1u9z2AwYNKkSfDx8YGLiwuGDx+Oy5cvN3DriYjsi0l0IiIiIiIiIiIHduDAASxevBidO3e2Kp89ezbmzp2LhQsX4sCBAwgICMDAgQNRWFgo14mLi8O6deuQmJiIXbt2oaioCEOHDoXJZGrobhAR2Q2T6EREREREREREDqqoqAjPP/88lixZAk9PT7lcCIH58+fj3XffxahRoxAREYEVK1agpKQEq1evBgDk5+dj6dKlmDNnDgYMGIBu3bph1apVSE1NxdatW2s8n8FgQEFBgdVGRNTUMYlOREREREREROSgXnvtNfz2t7/FgAEDrMrT09ORlZWFQYMGyWVarRZ9+vRBUlISACA5ORnl5eVWdYKCghARESHXuV1CQgL0er28hYSE2KBXREQNi0l0IiIiIiKqJiEhAT169ICbmxv8/PwwcuRIpKWlWdV54YUXIEmS1darVy+rOlxLl4jIfhITE5GcnIyEhIRq+7KysgAA/v7+VuX+/v7yvqysLGg0GqsZ7LfXud20adOQn58vb5cuXaqPrhAR2RWT6EREREREVM3OnTvx2muvYe/evdiyZQsqKiowaNAgFBcXW9V74oknkJmZKW8//PCD1X6upUtEZB+XLl3Cm2++ia+++go6na7WepIkWb0WQlQru92d6mi1Wri7u1ttRERNncreDSAiIiIiosZn06ZNVq+XLVsGPz8/JCcn47HHHpPLtVotAgICajxG1Vq6K1eulJcRWLVqFUJCQrB161YMHjzYdh0gImrmkpOTkZ2djaioKLnMZDLh559/xsKFC+W7i7KyshAYGCjXyc7OlmenBwQEwGg0Ijc312o2enZ2NmJjYxuoJ0RE9seZ6EREREREdFf5+fkAAC8vL6vyHTt2wM/PD+3bt8f48eORnZ0t77uftXQBPpSOiKg+9O/fH6mpqUhJSZG36OhoPP/880hJSUGbNm0QEBCALVu2yO8xGo3YuXOnnCCPioqCWq22qpOZmYljx44xiU5EzQpnohMRERER0R0JIfDWW2/hkUceQUREhFw+ZMgQPP3002jVqhXS09Pxt7/9Df369UNycjK0Wu19raULWNZjnz59us36Q0TUHLi5uVnFbABwcXGBt7e3XB4XF4eZM2ciLCwMYWFhmDlzJpydnTFmzBgAgF6vx0svvYTJkyfD29sbXl5emDJlCiIjI6s9qJSIyJExiU5ERERERHf0+uuv4+jRo9i1a5dV+TPPPCN/HxERgejoaLRq1Qrff/89Ro0aVevx7rbe7rRp0/DWW2/JrwsKChASEvIAPSAioppMnToVpaWlmDhxInJzc9GzZ09s3rwZbm5ucp158+ZBpVJh9OjRKC0tRf/+/bF8+XIolUo7tpyIqGExiU5ERERERLWaNGkS1q9fj59//hnBwcF3rBsYGIhWrVrhzJkzAO5/LV2tVgutVls/HSAiItmOHTusXkuShPj4eMTHx9f6Hp1OhwULFmDBggW2bRwRUSPGNdGJiIiIiKgaIQRef/11fPvtt9i+fTtCQ0Pv+p6cnBxcunRJfkAd19IlIiIiIkfAmehERERERFTNa6+9htWrV+O7776Dm5ubvIa5Xq+Hk5MTioqKEB8fj6eeegqBgYHIyMjAO++8Ax8fHzz55JNyXa6lS0RERERNHZPoRERERERUzaJFiwAAffv2tSpftmwZXnjhBSiVSqSmpuLLL79EXl4eAgMD8fjjj2Pt2rVcS5eIiIiIHAqT6EREREREVI0Q4o77nZyc8OOPP971OFxLl4iIiIiaOq6JTkRERERERERERERUCybRiYiIiIiIiIiIiIhqwSQ6ERHZ1JUrV/D73/8e3t7ecHZ2RteuXZGcnCzvF0IgPj4eQUFBcHJyQt++fXH8+HGrYxgMBkyaNAk+Pj5wcXHB8OHDcfny5YbuChERERERERE1Q0yiExGRzeTm5qJ3795Qq9XYuHEjTpw4gTlz5sDDw0OuM3v2bMydOxcLFy7EgQMHEBAQgIEDB6KwsFCuExcXh3Xr1iExMRG7du1CUVERhg4dCpPJZIdeEREREREREVFzwgeLEhGRzcyaNQshISFYtmyZXNa6dWv5eyEE5s+fj3fffRejRo0CAKxYsQL+/v5YvXo1JkyYgPz8fCxduhQrV67EgAEDAACrVq1CSEgItm7disGDBzdon4iIiIiIiIioeeFMdCIispn169cjOjoaTz/9NPz8/NCtWzcsWbJE3p+eno6srCwMGjRILtNqtejTpw+SkpIAAMnJySgvL7eqExQUhIiICLnO7QwGAwoKCqw2IiIiIiIiIqL7wSQ6ERHZzPnz57Fo0SKEhYXhxx9/xCuvvII33ngDX375JQAgKysLAODv72/1Pn9/f3lfVlYWNBoNPD09a61zu4SEBOj1enkLCQmp764RERERERERUTPBJDoREdmM2WxG9+7dMXPmTHTr1g0TJkzA+PHjsWjRIqt6kiRZvRZCVCu73Z3qTJs2Dfn5+fJ26dKlB+sIERERERERETVbjTqJvmjRInTu3Bnu7u5wd3dHTEwMNm7cKO8XQiA+Ph5BQUFwcnJC3759cfz4catjGAwGTJo0CT4+PnBxccHw4cNx+fLlhu6KzFRRjtTUVCQlJVltBoPBbm0iIrKVwMBAdOzY0aqsQ4cOuHjxIgAgICAAAKrNKM/OzpZnpwcEBMBoNCI3N7fWOrfTarXyZ0fVRkRERERERER0Pxp1Ej04OBgff/wxDh48iIMHD6Jfv34YMWKEnCifPXs25s6di4ULF+LAgQMICAjAwIEDUVhYKB8jLi4O69atQ2JiInbt2oWioiIMHToUJpPJLn3KvpSOr3efQuL+i/I2b+1WJCcn26U9RES21Lt3b6SlpVmVnT59Gq1atQIAhIaGIiAgAFu2bJH3G41G7Ny5E7GxsQCAqKgoqNVqqzqZmZk4duyYXIeIiIiIiIiIyFZU9m7AnQwbNszq9UcffYRFixZh79696NixI+bPn493330Xo0aNAgCsWLEC/v7+WL16NSZMmID8/HwsXboUK1euxIABAwAAq1atQkhICLZu3YrBgwc3eJ8AwCc4FKGdutvl3EREDenPf/4zYmNjMXPmTIwePRr79+/H4sWLsXjxYgCWZVzi4uIwc+ZMhIWFISwsDDNnzoSzszPGjBkDANDr9XjppZcwefJkeHt7w8vLC1OmTEFkZKQc24mIiIiIiIiIbKVRJ9FvZTKZ8PXXX6O4uBgxMTFIT09HVlYWBg0aJNfRarXo06cPkpKSMGHCBCQnJ6O8vNyqTlBQECIiIpCUlHTHJLrBYLBaYqWgoMA2HSMicmA9evTAunXrMG3aNHzwwQcIDQ3F/Pnz8fzzz8t1pk6ditLSUkycOBG5ubno2bMnNm/eDDc3N7nOvHnzoFKpMHr0aJSWlqJ///5Yvnw5lEqlPbpFRERERERERM1Io0+ip6amIiYmBmVlZXB1dcW6devQsWNHJCUlAUC19XD9/f1x4cIFAJY1djUaDTw9PavVuX393dslJCRg+vTp9dgTIqLmaejQoRg6dGit+yVJQnx8POLj42uto9PpsGDBAixYsMAGLSQiIiIiIiIiqp3Nkuht2rTBgQMH4O3tbVWel5eH7t274/z583U6Tnh4OFJSUpCXl4dvvvkG48aNw86dO+X9kiRZ1RdCVCu7XV3qTJs2DW+99Zb8uqCgACEhIXVqMxFRY1Zf8ZmIiBovxvqm7e33puN6fmG1cl+9G2bNeN8OLSKihsQYTkTU+NgsiZ6RkVHjwzsNBgOuXLlS5+NoNBq0a9cOABAdHY0DBw7g008/xdtvvw3AMts8MDBQrp+dnS3PTg8ICIDRaERubq7VbPTs7Oy7PoxOq9VCq9XWuZ1ERE1FfcVnIiJqvBjr68eVvFKc1ITj1MFLcNWp0KO1F3xcbf9/hOv5hYgc/nK18tT1i21+biKyP8ZwIqLGp96T6OvXr5e///HHH6HX6+XXJpMJ27ZtQ+vWre/7+EIIGAwGhIaGIiAgAFu2bEG3bt0AAEajETt37sSsWbMAAFFRUVCr1diyZQtGjx4NAMjMzMSxY8cwe/bs+24DEVFTZOv4TERE9sdYX3+Szt3AH5cfQJk6CMgvA/KBs9lF6NPeF52DPezdPCJyQIzhRESNV70n0UeOHAnAsszKuHHjrPap1Wq0bt0ac+bMqdOx3nnnHQwZMgQhISEoLCxEYmIiduzYgU2bNkGSJMTFxWHmzJkICwtDWFgYZs6cCWdnZ4wZMwYAoNfr8dJLL2Hy5Mnw9vaGl5cXpkyZgsjISAwYMKBe+01E1NjVZ3wmIqLGibG+fpy7XoRXViajrNwMvSkPvTqH48y1Ipy/UYyf0q5Do1LYu4lE5IAYw4mIGq96T6KbzWYAQGhoKA4cOAAfH5/7Pta1a9cwduxYZGZmQq/Xo3Pnzti0aRMGDhwIAJg6dSpKS0sxceJE5ObmomfPnti8eTPc3NzkY8ybNw8qlQqjR49GaWkp+vfvj+XLl0OpVD5YR4mImpj6jM9ERNQ4MdY/OCEE/vL1ERSUVSCqlSdcT+zEQwE9EO7vhp2nr+PI5XxsPZmNKMnF3k0lIgfDGE5E1HjZbE309PT0Bz7G0qVL77hfkiTEx8cjPj6+1jo6nQ4LFizAggULHrg9RESOoD7iMxERNW6M9ffv+9RMHLqYBye1Ep+N6Y533vsWgOX/Hn3a+yK/tBwZOSU4ruuEsnITdGpOziGi+sUYTkTU+NgsiQ4A27Ztw7Zt25CdnS3/RbXK//t//8+WpyYiojtgfCYicnyM9ffObBb45Mc0AMArfdoiQK+z2i9JEgZ29MdX+y6i2OiCj74/iQ9HRtijqUTk4BjDiYgaF5st5jd9+nQMGjQI27Ztw40bN5Cbm2u1ERGRfTA+ExE5Psb6+/PL2Ru4kFMCvZMa4x8LrbGOs0aFQR39AQAr917A1hPXGrKJRNQMMIYTETU+NpuJ/q9//QvLly/H2LFjbXUKIiK6D4zPRESOj7H+/qzZdxEA8GS3FnDW1P5fpVbeLggpv4hL6paYti4VPVp7Qe+sbqhmEpGDYwwnImp8bDYT3Wg0IjY21laHJyKi+8T4TETk+Bjr751B0mDrScus8ucebnnX+m2M6Wjr64LrhQZ8+P0JWzePiJoRxnAiosbHZkn0P/3pT1i9erWtDk9ERPeJ8ZmIyPEx1t+7G0pvVJgFugTrER7gdtf6Spgx+3ddIEnAf5Iv46e07AZoJRE1B4zhRESNj82WcykrK8PixYuxdetWdO7cGWq19e2Nc+fOtdWpiYjoDhifiYgcX33E+oSEBHz77bc4deoUnJycEBsbi1mzZiE8PFyuI4TA9OnTsXjxYuTm5qJnz5747LPP0KlTJ7mOwWDAlClTsGbNGpSWlqJ///74/PPPERwcXH8drgc3ld4AgP4d/Ov8nqhWnvhj71As3ZWOd75NxZa3+tiqebV6+73puJ5fWK3cV++GWTPeb/D2ENGD43idiKjxsVkS/ejRo+jatSsA4NixY1b7JEmy1WmJiOguGJ+JiBxffcT6nTt34rXXXkOPHj1QUVGBd999F4MGDcKJEyfg4uICAJg9ezbmzp2L5cuXo3379pgxYwYGDhyItLQ0uLlZZnPHxcVhw4YNSExMhLe3NyZPnoyhQ4ciOTkZSqWy/jr9AExmgZtKTwBAn/a+9/TeKYPCseXENVy8WYJ/7Thni+bd0fX8QkQOf7laeer6xQ3eFiKqHxyvV2cWAmazsHcziKgZs1kS/aeffrLVoYmI6AEwPhMROb76iPWbNm2yer1s2TL4+fkhOTkZjz32GIQQmD9/Pt59912MGjUKALBixQr4+/tj9erVmDBhAvLz87F06VKsXLkSAwYMAACsWrUKISEh2Lp1KwYPHlzjuQ0GAwwGg/y6oKDggftzJ5n5pTBJKni5aBDZQn9P73XSKPHObzrglVXJWPLLeURJWhu1koiaC47XrRUZKvBdyhXklZTDRxuMIBTbu0lE1AzZbE10IiIiIiJyHPn5+QAALy8vAEB6ejqysrIwaNAguY5Wq0WfPn2QlJQEAEhOTkZ5eblVnaCgIERERMh1apKQkAC9Xi9vISEhtuiS7OLNEgDAY2E+UCjufZbn4E7+6BnqBUOFGenq1vXcOiKi5stQYcJ/ki/jRpERFWaBLF0rXFH42btZRNQM2Wwm+uOPP37H24y2b99uq1MTEdEdMD4TETm++o71Qgi89dZbeOSRRxAREQEAyMrKAgD4+1uvIe7v748LFy7IdTQaDTw9PavVqXp/TaZNm4a33npLfl1QUGDTRHpWQRkA4OFQ7/t6vyRJmPrEQ3hqURKyVAEoKC2Hu5P67m8kIqoBx+u/OptdhPzScrhqVegcrEfSuRxkS97ILTHC01lj7+YRUTNis5noXbt2RZcuXeStY8eOMBqNOHToECIjI211WiIiugvGZyIix1ffsf7111/H0aNHsWbNmmr7bk/0CCHuumbv3epotVq4u7tbbbYihEB2gWXpmM7B97aUy62iWnmidztvCEmBgxdy66t5RNQM1VcMX7RoETp37izH0ZiYGGzcuFHeL4RAfHw8goKC4OTkhL59++L48eNWxzAYDJg0aRJ8fHzg4uKC4cOH4/Lly/XW17s5c60IABAZrEeP1l5wK78JIUnYffZGg7WBiAiw4Uz0efPm1VgeHx+PoqIiW52WiIjugvGZiMjx1WesnzRpEtavX4+ff/4ZwcHBcnlAQAAAy2zzwMBAuTw7O1uenR4QEACj0Yjc3Fyr2ejZ2dmIjY29p3bYSn5pOQwVZiiECeEBbg90rNcfD8Puszk4mVmA2Lbe0Kkbx4NTiahpqa8YHhwcjI8//hjt2rUDYHluxYgRI3D48GF06tSp0T8c2miWcDHXstxWez9XAEBQWQbS1F44f6MYxYYKuGhtltYiIrLS4Gui//73v8f/+3//r6FPS0REd8H4TETk+O4l1gsh8Prrr+Pbb7/F9u3bERoaarU/NDQUAQEB2LJli1xmNBqxc+dOOUEeFRUFtVptVSczMxPHjh1rNEn0a5Wz0F3NRVArH+y/R73aeMHVVIgKs8Dxq7Z9GCoRNT/3Ol4fNmwYfvOb36B9+/Zo3749PvroI7i6umLv3r3VHg4dERGBFStWoKSkBKtXrwYA+eHQc+bMwYABA9CtWzesWrUKqamp2Lp1q626KcsyaiAE4OemhUfl0i1O5lK4iBIIAZzKKrR5G4iIqjT4n+z27NkDnU7X0KclIqK7YHxuXMrKynDw4MFq5dHR0fw5EdF9u5dY/9prr2H16tX47rvv4ObmJq9hrtfr4eTkBEmSEBcXh5kzZyIsLAxhYWGYOXMmnJ2dMWbMGLnuSy+9hMmTJ8Pb2xteXl6YMmUKIiMjMWDAAJv1815kF1rWQ3czP3gyRpIkBFdcwSnlQzh6OQ/dWnpAcZelbYiI6upBxusmkwlff/01iouLERMTc9eHQ0+YMOGuD4cePHhwjecyGAwwGAzy64KC+/ujYm65JWXV2tvFqtzbnIdipTNOZBage0uPuy4hRkRUH2yWRB81apTVayEEMjMzcfDgQfztb3+z1WmJiOguGJ+bhoMHD2L+2i0IbBMul2WeT0McgEceecRu7SKipqE+Yv2iRYsAAH379rUqX7ZsGV544QUAwNSpU1FaWoqJEyciNzcXPXv2xObNm+VlAADLsgQqlQqjR49GaWkp+vfvj+XLl9t8GYC6qpqJ7l4PSXQA8K+4hgyXjigoq0DGjWK08XWtl+MSUfNRn+P11NRUxMTEoKysDK6urli3bh06duyIpKQkALZ5OHRCQgKmT59+T+2sSUGF5XPC101rVe4lCnBF0QI3i43IKTbCx1Vb09uJiOqVzZLoer31Q3kUCgXCw8PxwQcfWP0Vs7m6XmjAnvM58HRWQ1/R4KvqEFEzxvjcdAS2CUebiGh7N4OImqD6iPVCiLvWkSQJ8fHxiI+Pr7WOTqfDggULsGDBgjqdtyEJIXCjqGo5l/pJoithRqcWeiRfyEXK5Twm0YnontXneD08PBwpKSnIy8vDN998g3HjxmHnzp3yfls8HHratGl466235NcFBQUICQm5p3ZXmAWKTDUn0ZUwI9jTCRdySnAhp4RJdCJqEDZLoi9btsxWh27yioUG3x66jLIKM9IBqCRnjCwx2btZRNRMMD4TETk+xvq6KS03wVBhBgA4m0vr7bidW+hx6EIuLt0sxc1iY70dl4iah/qM4RqNRn6waHR0NA4cOIBPP/0Ub7/9NgDbPBxaq9VCq32wxHZWsYAZEjRKBdx11VNXrb1dcCGnBBk5xYhq5VnDEYiI6pfN10RPTk7GyZMnIUkSOnbsiG7dutn6lI2aAHBO+KGswgw/Ny0ELLPSPz9UgqH9BJQKruVFRA2D8ZmIyPEx1t9Zbkk5AMBNp4Ky2Fxvx3V3UqONrwvOXS/GkUt59XZcImpebBHDhRAwGAxWD4euOm7Vw6FnzZoFwPrh0KNHjwbw68OhZ8+e/cBtuZOLhZaY7O2qqXHWe2tvZ+wEcDWvFMaK+ovfRES1sVkSPTs7G88++yx27NgBDw8PCCGQn5+Pxx9/HImJifD19bXVqRu1IoULSqCFSiFhZNcWMJrMWLUnHWk3K7DxWCaGdg6ydxOJyMExPhMROT7G+rrJrZwl7uWsAXLq99hdgj1w7noxTmYVQKHU1O/Bicih1VcMf+eddzBkyBCEhISgsLAQiYmJ2LFjBzZt2tToHw59qTKJ7lvLUi0ezhrondTILy3HpdwSm7aFiAgAbLYY96RJk1BQUIDjx4/j5s2byM3NxbFjx1BQUIA33njDVqdt9K4p/QAA4QFucNIooXdSo42zZfC+IinDji0jouaC8ZmIyPEx1tdNbollHO7pXP9J7mBPJ3i7aFBuEjAFRtT78YnIcdVXDL927RrGjh2L8PBw9O/fH/v27cOmTZswcOBAAJaHQ8fFxWHixImIjo7GlStXanw49MiRIzF69Gj07t0bzs7O2LBhg80fDn2pwJJE93GrfVmYll7OAIArufW3HBcRUW1sNhN906ZN2Lp1Kzp06CCXdezYEZ999lmzfXBdWbkJeUrLWl1dgj3k8tbO5ThXosWBjFwcv5qPTkH6Wo5ARPTgGJ+JiBwfY33dVC3n4uGirvdjS5KEzsF6/JR2HaYW3er0sD4iIqD+YvjSpUvvuL8xPxz6ctGdZ6IDQJCHDqlX8nE1vxRBvOGHiGzMZjPRzWYz1Orqg1G1Wg2zuXmuV3U5txRCkqCD0erp0jqlwMNBlmuVuP+SvZpHRM0E4zMRkeNjrK8bW85EB4AOge7QqBQQzp7IyOFyA0RUN4zhwMePOiFWnw8f19rjc5DeCYDlOXMm0VAtI6LmymZJ9H79+uHNN9/E1atX5bIrV67gz3/+M/r372+r0zZqF29aBs56VL/V6NFgS1J90/EsmM2M/kRkO4zPRESOj7H+7kxmgYJSy0x0T+f6n4kOAGqlAp2C3AGADxglojpjDAd0KgmeahNUytrTVm46FVy0SpgFkFdhs4UWiIgA2DCJvnDhQhQWFqJ169Zo27Yt2rVrh9DQUBQWFjb4bUCNxaWqJLpkPQvFVFEOXDsFZ5WE64UGLP/+FyQlJcFgMNijmUTk4BifiYgcH2P93RWUlcMsALVSgqvWdsmXLsEegBC4cLNEfpApEdGdMIbXjSRJ8mz03HIm0YnItmwWZUJCQnDo0CFs2bIFp06dghACHTt2tPkTnBurgtJy5JWWA0LAXSqz2pd9KR1pubnwauOPkgo1Vh3OgXdOKv4MIDY21j4NJiKHxfhMROT4GOvvrmoWurtObdO1yvVOaihyzsPs0xZHLuehb7ifzc5FRI6BMbzuAvU6nMkuqjGJXlZWhr1799b4vl69ekGn09m6eUTkQOp9Jvr27dvRsWNHFBQUAAAGDhyISZMm4Y033kCPHj3QqVMn/PLLL/V92kbvSp5lCRcXUQyVVH0NM5/gUHRt3xIAcN3sjIDW7Ru0fUTk+BifiYgcH2N93RWUVQCwLAdga8rLhwAAJzILYKgw2fx8RNQ0MYbfO393SyI8v4blXPbu3Yv5azfj64OXrLb5azfXmlwnIqpNvSfR58+fj/Hjx8Pd3b3aPr1ejwkTJmDu3Ln1fdpG71qBZfa5q7m41jotvZyhkIDCsgoUm2w3G4aImifGZyIix8dYX3eFZb/ORLc1Re4FeDqrUW4SOJlZaPPzEVHTxBh+73zdtJAAGIQCuWXVJyy2aNsB7br0tNpatO3Q8A0loiav3pPoR44cwRNPPFHr/kGDBiE5Obm+T9voZRda1jd3NpfUWketVCCw6unSRq7nRUT1i/GZiMjxMdbXnTwT3cn2424JlWujAzhyOQ9CCJufk4iaHsbwe6dWKuDlogEAZBRUT6ITEdWXek+iX7t2DWp17bM5VCoVrl+/Xt+nbdTMQuB6ZRLd5Q5JdMAyGx0ArhuUNm8XETUvjM9ERI6Psb7uCksbbiY6AHQIdIdGqfj/7N13eFRl2j/w75k+SSa9TEIChF4SaigGhChNFJDFXezCrmujuFlw8XWxxFdXlP1RVrC8si6giLCu4IqVJqGEaBIIhB4gJAESQnqf+vz+GDIyJIEASWYm+X6u61w65zxz5j5H88yZ+zznflBabUJ28fV/ExBR+8Q+/NYE69QAgHNlTKITUctp9iR6hw4dkJGR0ej2w4cPIzQ0tLk/1qWVVptgtgooZBI0ova6beuS6IVGBawcoUJEzYj9MxFR28e+vulasyY6AKgUMvQJs5VoOJRb2iqfSUTuhX34rQm+UhedI9GJqCU1exL93nvvxauvvora2vrJ4pqaGrz22muYNGlSc3+sSyuosJ2Lulpd1xPsrYZKIYNZSDhbykmHiKj5sH8mImr72Nc3jRUSqgy2JHprjUQHgH7hPgCAc0XVKK02ttrnEpF7YB9+a+pGomcziU5ELajZh128/PLL2LRpE3r06IE5c+agZ8+ekCQJx48fx3vvvQeLxYKFCxc298e6tIJyWymXYJ0ayL9+W5kkIcJPizOXq3DksqkVoiOi9oL9MxFR28e+vmkMkhoCgFyS4KFqvTKKfh4qdA7wwLmiahw6Xwb/VvtkInIH7MNvTZBODUCg1GAbxBis0zg7JCJqg5o9iR4SEoKkpCQ899xzeOmll+yT5kiShAkTJuD9999HSEhIc3+sSyustCXRg3RqlDWhfUd/D5y5XIWMy+aWDYyI2hX2z0REbR/7+qaplWwJFi+NApJ0o2dFm1f/CF+cK6rGsYvluKP5HwwmIjfGPvzWKOUyeMqtqLLIcTyvgkl0ImoRLVIAsFOnTvjuu+9QUlKC06dPQwiB7t27w8/PryU+zuUVX3lU099T1eQkOgCcKjaj2miGh6p16jQSUdvH/pmIqO1jX39jtTLbo//e2ta/zu7k7wEfrRJlNSZcUgS3+ucTkWtjH35rvOXmK0n0cozuEeTscIioDWrRq0Y/Pz8MGTKkJT/C5ZmsQJXBVtvc31OFrCa8x0erhFZmRY1Vhp+zinFXT15cE1HzYv9MRNT2sa9vXN1IdJ269eqh15EkCVEdvLHvdBEuKDq0+ucTkXtgH35zvBUW5BmBYxfLnR0KEbVRfH6whVWabafYUyWHWtG0eouSJCFIbSvlknS6sMViIyIiIiJqj4ySCgDgpXbOE599Qr0hk4AKuTeOXGjKs6pERHQ93grb4MXjeUyiE1HLYBK9hVVcSaL7eapu6n2BKtsXwP6zRc0eExERERFRe2aUbOVcWnNS0at5qBToFuwFAPjs5xynxEBE1JZ4y20DEc9crkStyeLkaIioLWISvYVVWmyn2P8Wk+hHL5ajrMbU7HERETnDokWLIEkS4uPj7euEEEhISEBYWBi0Wi3i4uJw9OhRh/cZDAbMnTsXgYGB8PT0xJQpU3D+/PlWjp6IiNoKw5WR6J5OGokOAP06+AIA/pt+ARW1vN4nIrodapmATglYBXDqUoWzwyGiNohJ9BZWV87F3+PmkugauUCopwxCAL9kFbdEaERErSolJQUfffQR+vXr57B+8eLFWLp0KVauXImUlBTo9XqMGzcOFRW/XvzGx8dj8+bN2LBhA/bu3YvKykpMmjQJFgtHmRAR0c0z2pPozhmJDgBhvhp4WKtQbbTgq/SLTouDiKgtkCSgo7ct/8K66ETUEphEb2EVZtuF+c2ORAeAPoG2kTHJLOlCRG6usrISjz76KFatWgU/Pz/7eiEEli9fjoULF2LatGmIiorC2rVrUV1djfXr1wMAysrK8PHHH2PJkiUYO3YsBg4ciHXr1iEjIwPbt29v8PMMBgPKy8sdFiIiIsD23WNPoqucNxJdkiR0MNmS558lZ0MI4bRYiIjaggidLcXFuuhE1BKYRG9BZqtAtUUCcPM10QGgd6ASALD/DJPoROTeZs+ejfvuuw9jx451WJ+VlYX8/HyMHz/evk6tVmP06NFISkoCAKSlpcFkMjm0CQsLQ1RUlL3NtRYtWgQfHx/7EhER0QJHRUTU9u3evRuTJ09GWFgYJEnCV1995bB95syZkCTJYRk+fLhDG1cryVVeY4ZVsg10cVZN9Dp6cz7UChlO5FfgYG5ps+47NTUNf5j7Qr3lxZdfb9bPISJyFR29bX36MSbRiagFuHQSfdGiRRgyZAh0Oh2Cg4MxdepUnDx50qGNK9fSvVxthYAEhUyC5y1coPcJsI2MOZ5fjtJqY3OHR0TUKjZs2IC0tDQsWrSo3rb8/HwAQEhIiMP6kJAQ+7b8/HyoVCqHEezXtrnWSy+9hLKyMvuSm5vbHIdCRNTuVFVVoX///li5cmWjbe655x7k5eXZl++++85hu6uV5CqoqAUAqBUyKOTO/TmkhBmT+4cBAD5Lbt4JRo1WIHrK0/WWy2WsFUxEbdOvI9ErYLXy6R4ial4unURPTEzE7NmzkZycjG3btsFsNmP8+PGoqqqyt3HlWrqXqqwAAB8PJSRJuun3+2pk6BbsBSGAn1kXnYjcUG5uLv70pz/hs88+g0ajabTdtX2kEOKG/eb12qjVanh7ezssRER08yZOnIg333wT06ZNa7SNWq2GXq+3L/7+/vZtt1KSC2jZslyXKwwAnFvK5WqPDusIAPjm8EUOnCEiug2hnhJUchkqDWacL6lxdjhE1Ma4dBL9hx9+wMyZM9G3b1/0798fq1evRk5ODtLS0gC0XC1doHku3C9V25L0vlrlLRy9zR1dAgCwpAsRuae0tDQUFBRg8ODBUCgUUCgUSExMxLvvvguFQmEfgX7tiPKCggL7Nr1eD6PRiJKSkkbbEBGR8+zatQvBwcHo0aMHnnrqKRQUFNi33UpJLqBly3IVXEmiezhxUtGrDYjwRe9QbxjMVnx54IKzwyEiclsKmYQeei8AwLG8MidHQ0RtjUsn0a9VVmbrBOtGt7RULV2geS7c7SPRbyOJPvxKEp2TixKROxozZgwyMjKQnp5uX2JiYvDoo48iPT0dXbp0gV6vx7Zt2+zvMRqNSExMRGxsLABg8ODBUCqVDm3y8vJw5MgRexsiInKOiRMn4rPPPsPOnTuxZMkSpKSk4O6774bBYEtU30pJLqBly3LVlXNxlZHokiTZR6Ov/5kTjBIR3Y7eetsTqMfyWLqKiJqXa1w5NoEQAvPmzcPIkSMRFRUF4Pq1dLOzs+1tbvXCfd68efbX5eXlN51Ir0ui+2pvflLROsO72G4YnMivQHGVEf63MEEpEZGz6HQ6e59dx9PTEwEBAfb18fHxeOutt9C9e3d0794db731Fjw8PPDII48AAHx8fPDkk09i/vz5CAgIgL+/P1544QVER0fXm6iUiIha14MPPmj/96ioKMTExKBTp0749ttvr1sC5kZlu9RqNdRqdbPGWqeg/Eo5FxcZiQ4AUwd2wKLvjuPM5SrsOnXZ2eEQEbmtPmHeQBpw7GI5BnVydjRE1Ja4TRJ9zpw5OHz4MPbu3VtvW3PX0gWa58L9UpWtnIuPx62PRA/wUqNniA4nL1Xg57NFmBgdelsxERG5mgULFqCmpgazZs1CSUkJhg0bhq1bt0Kn09nbLFu2DAqFAtOnT0dNTQ3GjBmDNWvWQC53nQQIEREBoaGh6NSpEzIzMwE4luS6elBLQUGB054mulzpWjXRAcBLrcAjwzpi1Z4srNiRCR9nB0RE5KZ6h9pGoh/PKwc6uVXxBSJycW7Ro8ydOxdff/01fvrpJ4SHh9vX6/V6AK5ZS9diFSiorhuJfutJdODX0ej7WdKFiNqAXbt2Yfny5fbXkiQhISEBeXl5qK2tRWJiYr3R6xqNBitWrEBRURGqq6uxZcuWZq2PS0REzaOoqAi5ubkIDbUN/HDFklx1I9FdpSZ6nadGdYFaIcOBnFKUyPxu/AYiIqqnLol+obQGVSaWxyKi5uPSSXQhBObMmYNNmzZh586diIyMdNgeGRnpsrV088trYbYCEgS8NLc3yuWOrqyLTkREREStr7Ky0j6nBWCbkyg9PR05OTmorKzECy+8gP379+PcuXPYtWsXJk+ejMDAQPzmN78B4FiSa8eOHTh48CAee+wxp5bkcrWa6HWCdRo8PNRWG/2MqgtroxMR3QIfrRIdfLUAgNwKq5OjIaK2xLWuHK8xe/ZsrF+/Hv/973+h0+nsI859fHyg1WohSZLL1tLNLqoCAHjIBWQ3KC1zI8MibUn0U5cqUVhpQKBXy9SHJCIiIiK6WmpqKu666y7767o5g2bMmIEPPvgAGRkZ+OSTT1BaWorQ0FDcdddd2Lhxo0uX5CqoqKuJ7no/hebc3Q3/STuPCoM3Tl6qQK8rE+QREVHT9QnzxoXSGuSUM4lORM3H9a4cr/LBBx8AAOLi4hzWr169GjNnzgTgurV0ZZKEXv4KVFbX3Pa+/DxV6KXX4UR+BZLPFmFSv7BmiJCIiIiI6Pri4uKuOyL6xx9/vOE+6kpyrVixojlDuyW1Jgsqas0AAE+Va5VzAYBALzWeHd0F/2/rKew7XYTIQE+oFa4XJxGRK+sd6o1txy4ht8IK3ookoubi8uVcGlrqEuiA69bSHd4lAK+O1GGQb22z7I8lXYiIiIiIbs/lK6PQZcIClcI1fwr98c4u0FqrUWkwI+k0r/2JiG5Wnyt10XNYzoWImpFrXjlSPXd0sSXR95/hhTQRERER0a2oq4euEkZIt1lysaVolHL0MpwEABy+UIaLpbf/ZCsRUXvSN+zK5KIVVlg5vQQRNRMm0d3EsMgASBJw5nIVCsqbZ3Q7EREREVF7UlBuG4muEkYnR3J9ftZS+0jK7ccvwWzlaEoioqYK99NCp1bALIBKC0tiEVHzYBLdTfh4KO0X0slZxU6OhoiIiIjI/VyutCXR1cLg5Ehu7M7ugfBQyVFSbUISn0YlImoySZLQ+0r+pNzMJDoRNQ8m0d3IryVdCp0cCRERERGR+3GXkeiArazLmF7BAICDOaXIKqxyckRE5G4WLVqEIUOGQKfTITg4GFOnTsXJkycd2gghkJCQgLCwMGi1WsTFxeHo0aMObQwGA+bOnYvAwEB4enpiypQpOH/+fGseyk3rHaoDAJRzJDoRNRMm0d1IbDdbEn1PZiGEYGEvIiIiIqKbcXVNdHfQJcgL/cN9AAA/HM1HtaR1ckRE5E4SExMxe/ZsJCcnY9u2bTCbzRg/fjyqqn69Kbd48WIsXboUK1euREpKCvR6PcaNG4eKigp7m/j4eGzevBkbNmzA3r17UVlZiUmTJsFisTjjsJqkT1jdSHSFkyMhoraCvYkbGd4lACq5DOdLanC2sApdg7ycHRIRERERkdsoqKgr5+IeSXQAGNk9EAUVBuSV1eKQph+KKg0I8FI7OywicgM//PCDw+vVq1cjODgYaWlpGDVqFIQQWL58ORYuXIhp06YBANauXYuQkBCsX78ezzzzDMrKyvDxxx/j008/xdixYwEA69atQ0REBLZv344JEybU+1yDwQCD4deyWeXl5S14lA2rK+dSYZZDCOGyk0kTkfvgSHQ34qFSYGikPwAg8eRlJ0dDREREROReLlfUlXNx/ZrodRQyGe6LDoVOo0CNzAMzV6eg0mB2dlhE5IbKysoAAP7+trxCVlYW8vPzMX78eHsbtVqN0aNHIykpCQCQlpYGk8nk0CYsLAxRUVH2NtdatGgRfHx87EtERERLHVKjeoToIJMAo5ChyuC6I+aJyH0wie6iLGYTMjIykJSU5LCM6OIHAEg8xSQ6EREREdHNcMeR6ADgqVbgNwM6QCmMyLhQhqc/SUWtiUkhImo6IQTmzZuHkSNHIioqCgCQn58PAAgJCXFoGxISYt+Wn58PlUoFPz+/Rttc66WXXkJZWZl9yc3Nbe7DuSGNUo5QT9vo87pSXkREt4PlXFxUQW4WvigpwdEaH/u6vKxT+N3EuwAAyWeLUGuyQKPkJBlERERERDdisQoUVbrPxKLX8vNUoX/tIRz3GY6kM0WI35CO9x4d5OywiMhNzJkzB4cPH8bevXvrbbu21ElTyp9cr41arYZa7fyyU1185LhQaUZ+eS26sBwuEd0mjkR3YYHhkYjsO8i+hEb2QAedDKE+GhjMVvycVezsEImIiIiI3EJRpQFWAcgk90yiA4C3tRKrnoiBSi7DD0fzsXBzBoSzgyIilzd37lx8/fXX+OmnnxAeHm5fr9frAaDeiPKCggL76HS9Xg+j0YiSkpJG27iqrr62lFd+GUeiE9HtYxLdzUiShNE9ggCwLjoRERERUVPVlXIJ8FLDnaeXi+0WiHcfHgCZBGxIycVZZRdnh0RELkoIgTlz5mDTpk3YuXMnIiMjHbZHRkZCr9dj27Zt9nVGoxGJiYmIjY0FAAwePBhKpdKhTV5eHo4cOWJv46q6+NhSXpfKDRCCtxyJ6PYwie6G7En0UwVOjoSIiIiIyD3UTSoa5OX8EgO3656oULz1m2gAQLaqEzILKpwcERG5otmzZ2PdunVYv349dDod8vPzkZ+fj5qaGgC2QXrx8fF46623sHnzZhw5cgQzZ86Eh4cHHnnkEQCAj48PnnzyScyfPx87duzAwYMH8dhjjyE6Ohpjx4515uHdUAcvGeQQMFqsKK5yzyeQiMh1sCa6G4rtFgi5TMKZy1XILa5GhL+Hs0MiIiIiInJpdRPLBXu7fxIdAB4a2hHZxdX4YNcZ/HTiMjr4auGh4s87IvrVBx98AACIi4tzWL969WrMnDkTALBgwQLU1NRg1qxZKCkpwbBhw7B161bodDp7+2XLlkGhUGD69OmoqanBmDFjsGbNGsjlrj1Hm1wmwUdhRrFZifzyWgRcuYlqNhmRnp5er/3w4cOh0WhaOUoiche8ynJDPlolBnX0Rcq5Evx0sgBP3NHZ2SEREREREbm0gnLbSPRgnRqFTo6lucSP7Y5Pdh5ClckLezMLMb6v3tkhEZELaUoJE0mSkJCQgISEhEbbaDQarFixAitWrGjG6FqHr9KWRM8rq0XfMB8AwKWcMzheXIxMc4C93YUzxxGP+jccamtrkZyc3OC+mXQnal+YRHdTY3uHIOVcCbYdu8QkOhGRizJYJaScK0ZZjQmDOvo5OxwionbtcmVdEl3TZpLoaoUcvQ0nkKqNwfH8CvQL94XehwkdIqI6/gozzgK4WFrjsD4ooiu69R92w/cnJydj+cat6NC1t8P6xpLuRNR2MYnuRixmEzIyMgAAgQYLACDpdCEKy6oQ6OPpzNCIiOgaFqvAvmJPVF0uAmC7cL/Dq/U+v7a2FqmpqfXWx8TEcMQMEbVLdSPRg3Rto5xLHW9rBXrrdTieX4E9mZfx28HhkCR3njqViKj5+CnNAICSahOqjeZbKnvVoWvvJiXciahtYxLdjRTkZuGLkhIcrbE9guQl90ClRY41W1Pwwu/inBscERE52HvBhCqLHBqlDDJJQkm1CSfQesnr1NRULN+4DaFdetrX5Z09iXgAI0eObLU4iIhchb0mehtLogNAbNdAnCqoxMWyWuSW1KAj50wiIgIAqGQCAZ4qFFUZkVdWi65BrTiqhYjaFCbR3UxgeCQi+w4CAPQ6XYjU7BKk5nGWaSIiV2K2WPFVpi1ZE9PJH/6eKnx96CLOVatQbbpxbcrmEtqlJ7pExbTa5xERubKCiivlXNrIxKJX89IoEN3BB+m5pUg+W4QIP62zQyIichmhvhoUVRlxobSGSXQiumUyZwdAt65LkK2Ey6ECE4xmq5OjISKiOgdySnG5WkApWdEv3AedAzzg56GEFRJS803ODo+IqN0RQuByxa810duimE5+kMsk5JXVIqe42tnhEBG5jA6+thuLF0pqbtCSiKhxTKK7Mb23BmqZFTVmIPlskbPDISKiK3afugwACFaboZTLIEkSeum9AQBJF5hEJyJqbeW1ZhiuDDppazXR63iqbaPRAeDnrGK03nNPRESurS6JfrnCAIPJ4uRoiMhdMYnuxiRJgl5tmyRj27FLTo6GiIjq7Mm0JdGDVGb7up56HQDgaKEZBeW1TomLiKi9unylHrpOo4BGKXdyNC0nppMfFFdGo1v9Ozs7HCIil6DTKOGrVUIAOF/K0ehEdGuYRHdzdUn0rcfyYbVyvAkRkbOVVBlx+EIZAMckuo9WCR+FGQLA7sxCJ0VHRNQ+FZTXlXJpm6PQ61w9Gt3cabiToyEich0RVyZczmW5KyK6RUyiuzk/eS3UkhWXyg1Y++0eJCUlISkpCQaDwdmhERG1S/vOFEIIIFwng0bueHMz6MqNz71XRqoTEbm63bt3Y/LkyQgLC4MkSfjqq68ctgshkJCQgLCwMGi1WsTFxeHo0aMObQwGA+bOnYvAwEB4enpiypQpOH/+fCseBXC5sm3XQ7/aoE5+kEsShG846/8SEV1RN+FyLvtFIrpFTKK7uaLzWVBV2Uq5fHqwCBt+ycGyjduRlpbm5MiIiNqngzmlAIDeAYp62+pGpu89Xcinh4jILVRVVaF///5YuXJlg9sXL16MpUuXYuXKlUhJSYFer8e4ceNQUVFhbxMfH4/Nmzdjw4YN2Lt3LyorKzFp0iRYLK1Xl7ZuJHpbrYd+NS+1An3CbPNw/HKu2MnREBG5hvArI9GLq4wwSUonR0NE7qj+L3xyO2GewEkBXLJoMalPH2eHQ0TUrmVcKeUS6SNH3jUDXfyVFqjlQGGlESfyK+xJDiIiVzVx4kRMnDixwW1CCCxfvhwLFy7EtGnTAABr165FSEgI1q9fj2eeeQZlZWX4+OOP8emnn2Ls2LEAgHXr1iEiIgLbt2/HhAkTWuU4Cq7URG/r5VzqxHTyQ0ZuCXKKq5FfVgu9z41H4L/48uu4XFZRb32Qjw7vvPlaS4RJRNRqtEo5gnVqFFQYUK7wgwYmZ4dERG6GI9HbAB9UQyWXocpgwcUyTlZHROQsVqvAsYvlAGxJ9GvJpF9HqO89zZIuROTesrKykJ+fj/Hjx9vXqdVqjB49GklJSQCAtLQ0mEwmhzZhYWGIioqyt2mIwWBAeXm5w3I7CiqulHPxbh9JdG+tErJLxwAAKU0cjX65rALRU56utzSUWCcickeRgZ4AgHKln5MjISJ3xCR6GyCTgK5Bti+DzEu8yCUicpasoipUGszQKGUI82r4K7ZvoC2Jvv9MUWuGRkTU7PLz8wEAISEhDutDQkLs2/Lz86FSqeDn59dom4YsWrQIPj4+9iUiIuK2Yr1c0X5qotdRZP8MADhbWGU/fiKi9qzzlSR6hcIXVifHQkTuh0n0NqJbiBcA4HRBJQTL7BIROcWRK6Vceod6Qy6TGmxTNxI95VwJzBZevhOR+5Mkx/5OCFFv3bVu1Oall15CWVmZfcnNzb2tGOtGoreHmuh1ZDUl6B5s+42QytroREQI0anhoZLDKilQKXk6OxwicjNMorcRHf09oFLIUGW0oNhUv4QAERG1vIzztiR6dAefRtt09JbBW6NApcGMIxdvrzwBEZEz6fV6AKg3orygoMA+Ol2v18NoNKKkpKTRNg1Rq9Xw9vZ2WG5HQXn7qoleZ0hnfwDAqYJKlFQbnRwNEZFzSZKEzgG25HmppHNyNETkbphEbyMUMpm9pMuFGs4XS0TkDEevJMWjwhpPosskCcO6BAAAks+ypAsRua/IyEjo9Xps27bNvs5oNCIxMRGxsbEAgMGDB0OpVDq0ycvLw5EjR+xtWlqtyYLyWjOA9lXOBbCNvK+rAZx6ruQGrYmI2r5uV57QKZV0sPIxfiK6CUyityE9Q2x3Ui/UKmG28suAiKi1ZRZUAgB66q8/smX4lSQ666ITkaurrKxEeno60tPTAdgmE01PT0dOTg4kSUJ8fDzeeustbN68GUeOHMHMmTPh4eGBRx55BADg4+ODJ598EvPnz8eOHTtw8OBBPPbYY4iOjsbYsWNb5Rjq6oGrFDJ4a9vfYJOhV0ajn8gvR3mNycnREBE5V0d/D8iEGSZJibzSWmeHQ0RupP1dRbZhEf4e8FDJUW20IP2SCaOcHRARUTtSVm1CYaUtUdM12Avp2Y23veNKEj31XDFMFiuUct7TJiLXlJqairvuusv+et68eQCAGTNmYM2aNViwYAFqamowa9YslJSUYNiwYdi6dSt0ul9vJi5btgwKhQLTp09HTU0NxowZgzVr1kAub50ShPZ66F7qG9Zqb4v0PhpE+GmRW1KDtOwSBDo7ICIiJ5LLJPiYilCiCsGpggp08NM6OyQichNMorchMklCT70OB3NKsfe8Ec87OyAionbk9OUKAECojwZe6ut/vfbS6+CjVaKsxoSMC2UY1NGvNUIkIrppcXFxENd53F2SJCQkJCAhIaHRNhqNBitWrMCKFStaIMIbu1xxpR66d/uqh361IZ39kVtyAcfyyjEcSmeHQ0TkVH6mQlsS/VIF7uweCIWseQa01NbWIjk5ucFtw4cPh0bTvkqKEbU1TKK3Mb313jiYU4oDl0woqzbBx4MXyUREreH0lVIudXUWr0cmkzAs0h9bj11C8tkiJtGJiFpQ3Uj09jap6NXC/bQI1qlRUGHABWUHZ4dDRORUOnMplMKEWpMSZy9XoUdI80wympycjOUbt6JD194O6y+cOY542G5ME5H74vPjbUyglwo6hQVmK/BtRp6zwyEiajfqkuhdg26cRAeAO7qyLjoRUWuoq4ke1I6T6JIk2W/Ynld2QK3J4uSIiIicRwIQIEoBAEculDXrvjt07Y1u/Yc5LNcm1YnIPTGJ3sZIkoRwjRkAsPngeSdHQ0TUftzMSHTg18lFU8+VwGi2tlhcRETtXUF53Uj09v0YffdgL3hrFDBJKvwnjb8TiKh9C7SWAgByS2pQdGVeIyKi62ESvQ0K15ogAUg5V4Lc4mpnh0NE1C6cvnxzSfSeIToEeKpQY7IgNbu4JUMjImrXCupqorfjkeiArZTYwCuj0f+55yws1sZr3RMRtXVqmNA1yBMAkJZd4uRoiMgdMIneBmnlAn0CbeXuvzp4wcnREBG1fTVGC86X1ABoehJdJpMQ1zMYALDzeEGLxUZE1N7lldmS6Hqf9j0SHQD6hHpDIUw4V1SNbccuOTscIiKnGtLZHwBw4lIFqi1MjxHR9bGXaKPuDFcBADYfvAAhOMqEiJxj0aJFGDJkCHQ6HYKDgzF16lScPHnSoY0QAgkJCQgLC4NWq0VcXByOHj3q0MZgMGDu3LkIDAyEp6cnpkyZgvPnXedR9DOXKyEE4OuhRICnqsnvG9P7ShL9BJPoREQt5VI5k+h1VAoZOphsg2w+2n3GydEQETlXiLcGHf09IARwokrbYp9jNhmRnp6OXbt21Vtqa2tb7HOJqHkxid5GDQlTQaOU4WxhFQ6db96JMoiImioxMRGzZ89GcnIytm3bBrPZjPHjx6OqqsreZvHixVi6dClWrlyJlJQU6PV6jBs3DhUVFfY28fHx2Lx5MzZs2IC9e/eisrISkyZNgsXiGhOjnakr5RLkBUmSmvy+O7sHQiGTcLawClmFVTd+AxER3ZRakwUl1SYAQKh3yyVI3Em4+QJUchkO5JQi9RzLiRFR+zayWyAkAHlGNY4Xtcxvi0s5Z7Bp/wl8kZrrsCzfuBXJyckt8plE1PxcPom+e/duTJ48GWFhYZAkCV999ZXD9rYwgrElaBUSJvTVAwD+nZrr5GiIqL364YcfMHPmTPTt2xf9+/fH6tWrkZOTg7S0NAC2Pnz58uVYuHAhpk2bhqioKKxduxbV1dVYv349AKCsrAwff/wxlixZgrFjx2LgwIFYt24dMjIysH37dmcent3NTipaR6dRYlgX22Ok32XkNXtcRETtXf6VUi4apQzeWoWTo3ENamHEtEEdAAD/t/usk6MhInKuIJ0a0R18AAD/OmJAea2pZT4noiu69R/msHTo2rtFPouIWobLJ9GrqqrQv39/rFy5ssHtbWEEY0t5MCYCAPB1+kVUGcxOjoaIyJYQBwB/f1viOCsrC/n5+Rg/fry9jVqtxujRo5GUlAQASEtLg8lkcmgTFhaGqKgoe5trGQwGlJeXOywt6VaT6ABw/wBbIuM/aedZfouIqJnlXynlEuqjvaknhdq6P97ZBQCw/fgl+9NURETtVWzXAGhlFlyuEVjwxWFYOfEyETXA5ZPoEydOxJtvvolp06bV29ZWRjC2lOFdAtApwAOVBjO+PcwRjkTkXEIIzJs3DyNHjkRUVBQAID8/HwAQEhLi0DYkJMS+LT8/HyqVCn5+fo22udaiRYvg4+NjXyIiIpr7cBzcThL9vuhQeKjkyCqsQsq5kuYOjYioXasbia73Zj30q3UL9sLY3iEQAvjnnixnh0NE5FRqpRwDdZWQS8APR/Pxyn+PMJFORPW4fBL9elpqBCPQ+qMYW4JMJuHBIbbE0ecpOU6Ohojauzlz5uDw4cP4/PPP6227dnSgEOKGIwav1+all15CWVmZfcnNbbmyVmaLFeeKbPXMbyWJ7qlWYFK/UADAuuTsZo2NiKi9y+ekoo16epRtNPqXB87jcoXhpt774suv4w9zX6i3vPjy6y0RKhFRi/NTWvBUtBqSBHz2cw6eWZeGspqWKe1CRO7JrQsDXm8EY3Z2tr3NzY5gBGyjGF9/3f0vAn87OBxLt57CwZxSnMyvQE+9ztkhEVE7NHfuXHz99dfYvXs3wsPD7ev1etvcDfn5+QgNDbWvLygosPfter0eRqMRJSUlDn15QUEBYmNjG/w8tVoNtVrdEodST3ZxNUwWAa1SjjCfW5u07ok7OuPfqefx9aGLeHpUF0Rdqcvoampra5GamlpvfUxMDDQaJqiIyPXYR6IziV7PkM5+GBDhi/TcUnyy/9xNvfdyWQWipzxdb33G1x81U3RERK1veJgCPXv3wov/ycC2Y5cwZsku3NsRsHBQOhHBzUei12nuEYxA645ibEnBOg3G9rYloj7/haPRiah1CSEwZ84cbNq0CTt37kRkZKTD9sjISOj1emzbts2+zmg0IjEx0Z4gHzx4MJRKpUObvLw8HDlypNEkemuqK+XSNdgTMtmt1duN6uCD+weEAQBe33IUZou12eJrTqmpqVi+cRs2puTYl+UbtzWYWCcicgV5ZTUAgFAm0euRJAnPXBmN/mlyNsyQOzkiIiLn+83AcPz72TvQNcgThZVGfHLMiJ+KfZFyrhgGc9ueV4+Irs+tk+hXj2C8WmMjGBtr0xC1Wg1vb2+HxV09NNRW0mXzwQuoMbLTJ6LWM3v2bKxbtw7r16+HTqdDfn4+8vPzUVNjS2pIkoT4+Hi89dZb2Lx5M44cOYKZM2fCw8MDjzzyCADAx8cHTz75JObPn48dO3bg4MGDeOyxxxAdHY2xY8c68/AAXFUPPejmS7lcbcE9vaBRypByrgQvfpkBi4vWYQzt0hNdomLsS2iXns4OiYioUfnltjIlIayJ3qDxffWIDPREabUJucqWnT+EiMhdDIjwxfd/GoWEyX3gr5FgEDIknSnCv/aewy9ZxS57nU5ELcutk+htYQRja7izexAi/LUoqzHhq/QLzg6HiNqRDz74AGVlZYiLi0NoaKh92bhxo73NggULEB8fj1mzZiEmJgYXLlzA1q1bodP9Wn5q2bJlmDp1KqZPn44RI0bAw8MDW7ZsgVzu/FFzZ25jUtGrdfDVYsXDgyCXSfjywHm8tq8Slw1yCMGLdCKiW5XPkejXJZdJ+MsE283QbGVHVBnMTo6IiJrT7t27MXnyZISFhUGSJHz11VcO24UQSEhIQFhYGLRaLeLi4nD06FGHNgaDAXPnzkVgYCA8PT0xZcoUnD9/vhWPwjlUChlmjojE4lFa9PeqRICnCkaLFfvPFuHfqbmosbh1Oo2IboHL/9VXVlYiPT0d6enpAGyTiaanpyMnJ6dNjGBsCRazCRkZGUhKSkJSUhJ+Tt6PUVdKDa/el8WEDBG1GiFEg8vMmTPtbSRJQkJCAvLy8lBbW4vExERERUU57Eej0WDFihUoKipCdXU1tmzZgogI1xgxd/py8yTRAWBcnxCseHggvDUKnCuzIrnUCxtTc3GxtOa2901E1N6YLFb7hJl6jkRv1MQoPQZ19IVVkmP/2SJnh0NEzaiqqgr9+/fHypUrG9y+ePFiLF26FCtXrkRKSgr0ej3GjRuHiooKe5v4+Hhs3rwZGzZswN69e1FZWYlJkybBYmkfT7krZBLCNUY8OqwjJvQNgUYhQ0GFAXtLvXGurH2cAyKycfmJRVNTU3HXXXfZX8+bNw8AMGPGDKxZswYLFixATU0NZs2ahZKSEgwbNqzBEYwKhQLTp09HTU0NxowZgzVr1rjECMaWUJCbhS9KSnC05teJ6XKzzkDtNQCnLlUi6UwRRnQLdGKERERtgxCi2Uai17k3OhRDOvtj4We7seOcAZfKDfgi7TxG9wiC+xYWIyJqfflltbAK22jCQK/WmWzaHUmShIX39cYDH+zHsYvlGBDhy/NF1EZMnDgREydObHCbEALLly/HwoULMW3aNADA2rVrERISgvXr1+OZZ55BWVkZPv74Y3z66af2QYjr1q1DREQEtm/fjgkTJrTasTibJEnopfdGmK8WWw5dRGGlEW//Uos+/YoxNNLf2eERUStw+ZHocXFxDY5iXLNmDQD3H8HYUgLDIxHZd5B9iYjsilERtovh1fuynBwdEVHbkFdWiyqjBQqZhE4Bns223yCdGk9EaXF3YAV66W03hRNPXcbZalWzfQYRUVuXW1INAAj31d7yxM/txeBO/ggyF0AA2J15mU+uErUDWVlZyM/Px/jx4+3r1Go1Ro8ejaSkJABAWloaTCaTQ5uwsDBERUXZ2zTEYDCgvLzcYWkrvDVK/HZwOPwVJtRagCf+9TN2nSxwdlhE1ApcPolOzWdCF1sSfceJApwrrHJyNERE7q9uUtFOAR5Qypv/K1UjFxjfJwTDroxuOVahQWYJ69USETXF+RJbKawOflonR+IeuhrPQC6TkFtcg1OXKp0dDhG1sPz8fABASEiIw/qQkBD7tvz8fKhUKvj5+TXapiGLFi2Cj4+PfWlrgxjVCjmG+lSgX6ActSYrnvokFd9n5Dk7LCJqYUyityNhXnLc1TMIQnA0OhFRczjdzKVcGiJJEoZF+qNHsBcEJHxwsAa1JtZfJCK6kbokerifh5MjcQ8eohZDO9tu2iaeuszvGqJ2QpIcn9QRQtRbd60btXnppZdQVlZmX3Jzc5slVlcil4DnB6lxX3QoTBaB2esPYO8Fk7PDIqIWxCR6O/PHO7sAADak5KKgvNbJ0RARube6SUW7BrVcEh2w/bi5u3cwNDIrCqqt+Hgvb4QSEd3I+eIr5Vw4Er3JBnXyhb+HCjUmC/adLnR2OETUgvR6PQDUG1FeUFBgH52u1+thNBpRUlLSaJuGqNVqeHt7OyxtkUIm4d2HB+J3g8NhFcA/M4w4V8M5JYjaKibR25nYrgEY1NEXBrMVH+0+6+xwiIjcWmuMRK+jVsjR28t28/O9n07jcoWhxT+TiMid1Y1Ej/DnSPSmUshkuLtXMADgyMVynL9SV56I2p7IyEjo9Xps27bNvs5oNCIxMRGxsbEAgMGDB0OpVDq0ycvLw5EjR+xt2ju5TMI7D/TDzNjOAICjVZ74OauIc0sQtUFMorczkiTh+THdAQDrfs5GYSWTMEREt+pMKybRAaCDxoQuPnJUGy34aPeZVvlMIiJ3VZcA5kj0m9PBT4uoMNuo0a3HLsEEhZMjIqJbVVlZifT0dKSnpwOwTSaanp6OnJwcSJKE+Ph4vPXWW9i8eTOOHDmCmTNnwsPDA4888ggAwMfHB08++STmz5+PHTt24ODBg3jssccQHR2NsWPHOvHIXItMJuG1yX0wpasSAJB8thhbDuexLBZRG8MkejthMZuQkZGBpKQkKAsz0dXXNgHG6xv2wGBgIp2I6GaVVBlRVGUE0PLlXOpIEvBAT9sjop8m80YoEVFjjGYr8q+ULmQS/ebd2T0IPlolKmrNOKXu7uxwiOgWpaamYuDAgRg4cCAAYN68eRg4cCBeffVVAMCCBQsQHx+PWbNmISYmBhcuXMDWrVuh0+ns+1i2bBmmTp2K6dOnY8SIEfDw8MCWLVsgl8udckyuSpIkTOuuQrRXFeSShKzCKqz/JQcXS2ucHRoRNRMm0duJgtwsfLHvBDb8koONKbkIRAUA4NvMavyUlOLk6IiI3E9dPfQwHw081a03Sq9fkAL9I3xRa2JZLiJyvoSEBEiS5LDU1dkFbJPPJSQkICwsDFqtFnFxcTh69GiLx5VfVgurANQKGYK8WJ/2ZqkUMkzoGwJJAi4p9Phv+gVnh0REtyAuLg5CiHrLmjVrANgSvwkJCcjLy0NtbS0SExMRFRXlsA+NRoMVK1agqKgI1dXV2LJlCyIiIpxwNO6ho8aA6THh9huRX6SdxwVNJCy4/mStROT6mERvRwLDIxHZdxAi+w7CsEH9EKxTwyrJ8cUJ3hklIrpZdfXQu7ZSKZc6kiQh/kpZrk/2n+NodCJyur59+yIvL8++ZGRk2LctXrwYS5cuxcqVK5GSkgK9Xo9x48ahoqKiRWPKvVLKpYOfFpLExMWtCPXRYmhnfwDAy5uP4MyVm8dERHR9wd4aPDwkAr1DbSP6L6vDcEzeFdlFVU6OjIhuB5Po7ZQkSRjVPQgAsDPbiCMXypwcERGRe2nNSUWvFdczCP3DfVBrsmIVR6MTkZMpFAro9Xr7EhRku8YUQmD58uVYuHAhpk2bhqioKKxduxbV1dVYv379dfdpMBhQXl7usNyMshoTPFRyhPtxUtHbMbSzP3wspagwmPH0J6moqDU5OyQiIregVsoxvo8e9w8Ig9JqgFFS4av0i/g+Iw9VBnOj76utrcWuXbsaXGpra1vxCIjoWkyit2Md/LTooDFBAHh9y1HOHk1EdBOcmUSXJAl/Gls3Gp210YnIuTIzMxEWFobIyEg89NBDOHvWdnMvKysL+fn5GD9+vL2tWq3G6NGjkZSUdN19Llq0CD4+PvblZksH3BsdiqOvT8BHjw+++QMiO5lMQnTtEei9NThzuQrz/n0IVit/MxARNVXnAE/0qjiIYGsRJACnCiqx7udsnG3k6Z7k5GQs37gVX6TmOizLN25FcnJy6wZPRA6YRG/n+ugMUMuBlHMl+PrQRWeHQ0TkNuxJ9FaaVPRad/UMRr9wH9SYLFi1h6PRicg5hg0bhk8++QQ//vgjVq1ahfz8fMTGxqKoqAj5+fkAgJCQEIf3hISE2Lc15qWXXkJZWZl9yc3NvenYJEmCRsmJ726XCib83+ODoVLIsO3YJby7M9PZIRERuRU5LIiwXsJDQyMQ5KVGrcmKLYfzkFmtaXAwY4euvdGt/zCHpUPX3k6InIiuxiR6O6eVC9zfXQMAePPb4yipMjo5IiIi11dRa8KFUtt8Et1DdE6JQZIkxNeNRk/KxsVSzm9BRK1v4sSJeOCBBxAdHY2xY8fi22+/BQCsXbvW3ubamuRCiBvWKVer1fD29nZYyHn6R/jib1Ntkw0u356Jy/JAJ0dEROR+gnUaTB8SjgHhvgCAU9Ue+PyEkVUBiNwEk+iEe7tq0C3YC5crDHjlv0ecHQ4Rkcs7mW+bEE/vrYG/p8ppcdzVMxgxnfxQY7LgjW+OOS0OIqI6np6eiI6ORmZmJvR6PQDUG3VeUFBQb3Q6ub7fxURgZmxnAMAxdW8Uc/ANEdFNU8hkGN0zCHE9bPOHbM02Y/GPJ50cFRE1BZPoBJVcwtLp/SGXSfjmcB42puQ4OyQiIpd2LM82wV2fMOeOjJQkCW9MjYJcJuH7I/nYwrJcRORkBoMBx48fR2hoKCIjI6HX67Ft2zb7dqPRiMTERMTGxjoxSrpVC+/rjaGR/rBICnxz+CIMZouzQyIickv9I3wR7VUFAPhg1xnmYYjcgMLZAZBr6Bfui3njeuDvP57EK/89ij6hPogO93F2WERELunYxStJ9FDnlxfoHeqNZ0Z1wfu7zuAv/zmEDn5aDOro5+ywiKideOGFFzB58mR07NgRBQUFePPNN1FeXo4ZM2bYyk7Fx+Ott95C9+7d0b17d7z11lvw8PDAI4880irxvfjy67hcVlFv/YGDhxE9pVVCaFOUchnee2QQRr7xDUqqga1HL2FSv1B7eZ7U1DT8Ye4L9d4X5KPDO2++Vm99Q/99GmtLRNTWdNQY0CXEF/89Y8LCzUcQ4efh7JCI6DqYRCe750Z3xYHsEuw4UYA/rE3BpudiEeHPTpyI6FquMhK9zvzxPXH0YjkST13GQx8lY964Hgg3WcHyikTU0s6fP4+HH34YhYWFCAoKwvDhw5GcnIxOnToBABYsWICamhrMmjULJSUlGDZsGLZu3QqdrnXmk7hcVoHoKU/XW5/0yzOt8vltUZBOjWjDERz0HIKzhVX45VwxhkUGAACMVjR4vjO+/qjBfTX036extkREbdHUbkoIryB8feginl2Xhv+JUTo7JCJqBJPo7ZzFbEJGRob99cORApkX5cgpN+Cxj3/G508NR5iv1okREhG5FrPFaq+J7goj0QFALpOw8pGBiN+Qjh0nCvD29ycAADJ4w2tfFjzVCvhqlfCqVcDKzDoRNaMNGzZcd7skSUhISEBCQkLrBEStwttagbt6BmH78QIkny1GkE6NLoFezg6LiMjtSJKExb/thwulNUjLLsHyAxb011x/8m0icg7WRG/nCnKz8MW+E9jwSw42/JKDrw/mwu/SQQR5yJBdVI3p/7cfmZfqPwJLRNReZRVWwWC2wlMlR0cXelpHp1Fi1RMxeHtaNKI72MpxWSGhvNaMvLJaHM+vQEqZJ17bW4XjV0bSExER3aq+YT7od+X75scjl1BSzYlGiYhuhUYpx0ePD0a4nxYF1QJp5V6wWDnwhcjVcCQ6ITA8EpF9Bzms+2O0DksPmpFVWIVp7yfh7Qf64b5+oU6KkIjIdRw6XwbAVspFJnOtUSIymYSHhnbEQ0M7YkfiHqxPOQ//Tn1QZbQl0jNyS5BVZsEDHyTh/UcHIa5ncKvGV1tbi9TU1HrrY2JioNFoWjUWIiK6faN6BOFypQF5ZbX45nAehJxlCIiIbkWAlxofzxiC+1fsRrFZiZ0nCjC2d7B9zgkicj4m0alBAVoZNj0Xi2fWpeGXrGLMXn8A32bo8T/39EbHANcZeUlE1NoO5JQAAAa6+OSdarkED7mwl+TqHqxDYHUOLsIPRwst+OPaVHw8cwhG9whqtZhSU1OxfOM2hHbpaV+Xd/Yk4gGMHDmy1eIgIqLmIZdJuC86FJ+n5KC4yghZr4kQQjDpQ0R0C3rqdXhugBrL0mpxLK8caqUMd3YLvG6fWltbi+Tk5Hrrhw8fzkEqRM2M5VyoUX6eKnz2x2GYc1c3yCTgu4x8jF2aiDe+OYYLpTXODo+IyCkOZNuS6IM6+jo3kFugkQv8Zagn7osOhdkq8OynaTh45aZAawnt0hNdomLsy9UJdSIicj+eagXuiw6FTAKswT2w73QRBOffICK6Jf2DFOjnVQUAOJhTil+yiq/bPjk5Gcs3bsUXqbn2ZfnGrQ0m1ono9nAkOtVz7WSjsTogJFaLDScMOFpkxcd7s/CvvVkYECzHqHAFBoVqoZT/emd08ODBUKvVzgidiKhFVRrMOHVlnghXH4neGIVMwrIHB6C81oQ9mYX4/ZoUfPHMHegeonN2aERE5KZCfbS4u1cwth8vQFpOCSABI7oGcEQ6EdEtiNAY4RsaiN2ZhUjOKoZMJsH3OvcmO3TtjW79h7VegETtFJPoVE9Bbha+KCnB0Rof+7qMpO2Qa3QY3jcWp6tUKDQqcLDAgoMFFiikWujVZoRpTLDkncB8ALGxsc47ACKiFnI4txRWAXTw1SLE230fj1QpZPjwscF49J8/Iz23FE/86xf857lYdLhS+oWIiOhm9Q3zwa6vN8Dc/W6kZZegotaEMb1CoFLw4Wciops1sKMfTBaB/WeLkHSmCF202hZ7yoclYYiahkl0atC1k43mZZ2C3NMXwwb1xzAAxVVGbN37C4oVATAJBc7XKnG+VgmFx0D8bcd53HspEdFBCiiuTLrH0elE1Bb8Wg/d17mBNANPtQKrZw7B7/5vP04XVOLxj3/Gf56Nhb+nytmhERGRm1KcP4C4KQ9h54kCnLpUiUvlBozuEQQWdyEiunlDI/2hkEvYk1mIszVa/OuIESPutDb7zcm6kjAduva2r7tw5jjiAcTFxTXrZxG5MybR6Zb4e6rQ0XQenZWViBg0GqcvVeL05UpUGsw4WuWJoz9XQiVZEaoxQ1uahZeFwMgRI5wdNhHRbdl3uggAMKSzv5MjaR5+nip88oeh+O0HSTh7uQq/X/0LVv9+KBPpRER0y/qG+cDXQ4Ufj+ajrMaErw9dhE4zGF+k5mJy/zBolHJnh0hE5DYGdfSDWiHD9uOXsOeCGQ+vSsb7jw5q9qdiWRKG6Mb4bB3dFkmylTUY3TMIfxjRGb0MJ6BHKbRKOYxChuwaFU6oe+L5bWV454cTyLxSS5iIyN1UG81IzbZN7HNn90AnR9N8wny1+OTJYfDzUOLQ+TLcs3w3Nh88D6PZ6uzQiIjITXXw1eLRYR0xuJMf5DIJFXJv/OU/hzHsrR1I+Poojl0sd3aIRERuo2+YD2K8K6FVAGnZJbjv3b3Yd7qw0fZmkxHp6enYtWtXvaW2trYVIydqWzgSnZqNJEnQWavgKyvCkJExyC2pxqlLlTiVX4riWhk+2HUGH+w6g0gfOe6MUOHZiUMQFsCJ7IjIPSSfLYLJIhDup0VkoKezw2lW3YK98PnTwzH7swM4c7kKf954CC9tykDXIC/4aJXQaRTQaZSoKK7BuUo1dBUGBOlYoouIiBqnVsgxslsgBnX0xc4d22EIicL5khqsSTqHNUnnMCzSHxYZfwsQETVFiMqE3/XXYnWmAifyK/DoP3/GbweHI86nfsGsSzlncLy4GJnmAIf1LNFCdHuYRKcWIZNJ6BTgiU4BntCe3YULNQogtDcuGRTIKrMgq6wG647uxl09gzFtUDjG9A6GZDUjLS2t3r5YT52IXMHuU7bRHqN6BEGSJCdH0/x66b2xZe5I/GtvFj7Zn42CCgOONjhSUIOTv+Sgg68Wo1p5RH5tbS1SU1PrrY+JieGkR0RELspDpUAnUw5W/WUu9p4uxL9TcrH1WD5+zioGNIOhzCrGkM5+bfK7lYioOYV4yrB51gi89d1xrPs5G/9JO48flUCESo3OVisUsl+LTQRFdGV5FqJmxiQ6tTgZBDoHemLYyD6oNpqReakS6Vn5KDXJseNEAXacKIBOo0BMsAwXMo+ie0c95FeuofOyTuHPAGJjY516DETUvgkhsOtkAQC0euK4NXmoFJhzd3fMiuuGrKIqZBdVoaLWjPJaMypqTTh++hxScitx2ajChdIabEzNRW8vFYRonSnjUlNTsXzjNoR26Wlfl3f2JOIBjBw5slViICKiWyOXSRjdIwijewQhr6wGi747ga8PXcT+s0UorTFiXO8QJtKJiG5Aq5LjjalRmDqwA17adBinLlXimMkTufuzMbSzP3rp+YQPUUthEp1alYdKgf4RvvAuP4s7e3fAOQRh84ELuFhWi59yAKi7I6tQQid/T0QGecLHwgtpInK+w+fLcK6oGhqlDCO7Bzk7nBYnk0noGuSFrkFeDuv3KvKBigIEdeuO3acKcfpyJY5WaPHewRoMGmqGp7rlLytCu/REl6iYFv8cIiJqOaE+Wrz78ECc+mUnTmp64XheBRQyGe7q2fa/Y4mImsPgTn749vk78eZnO7DhRC0qas3YcaIASWeK4K3uiEAYnB0iUZvDJDo5TQedHL+L7YX543ri56xirNp6APtya2GwyHD6ciVOX64E4IX0bWUYdT4dQzr7o0+oN3rqddAo5Q77MhgMDZaCAVgOhohu31fpFwAA4/ro4dUKiWJXp9MocW+0HofOl2H3qQIkXzThgQ+SsOqJGET4ezg7PCIichNh5jxE9o3DD0fykXGhDAFeKshu/DYiIgKglMtwV0clLl3KR5V/D6TnlqKi1owaTQQuAchPzkbnQE8E69QI9FLDbEWrPUFK1BYxE0BOJ5NJuKNrAER/T3jWFsGzYx+cvVyF7OIqFJTXorDGik0HLmDTAVsSSwIQGeiBXqHe6OjviU4BHqjIy8I3P+1Hx06dIbtq8HpD5WAaS7gz2U5EDTFbrNhyKA8AMHVAmJOjcR2SJGFAhC9Ml7NwtFqHE/kVuP+9fXj/0UEY3iXgxjsgIiIC0CNEh/JaE/adLsLuU5cxiJONEhHdFLkEDOrohwHhvjhzuRK7D55ApcIHRVVGFFUZr2rpj+1bq+G9ZyvUCjlUChlUChmshhrU1HiiPKcEkYGe8PNQOe1YiFwZk+jkUiQJCPHWIMRbgzu6BmDPN/9GfrWAZ8e+KDHJUW6WwWiV4WxhNc4WVju+WRONIwW2EZLeGgW8tUpYg1RIumCENqcEEf4eCPBUIS0tDcs2bkdoZA/7W1l7nYiuVTeJ5c8XTSisNMBLKUF++RT2FmVyIsurBKgs+N9BXvjnCRkyLpThsX/+jFlxXTH77m5QK+Q33kEr4sSkRESuaXBHP+SX1eLM5SocU9vmUfJQ8acqEdHNkMkkdA/R4WL1UQjPAIT0G42LpTUorDSiqMoAk0XAIoCSahMA0zXvViMvsxB7MgsR7qtFuGAfTHQt/lWQU1jMJmRkZDisy8jIgNXqWH9XDis6Bvli2PAoALZHjxK//RIF1Rb4d+6DaosMVRYZSipqYFZ5wSoklNWYUFZjAkpqAKhxPK0KK9OSAAAeKjn81QIm3/6wqAIR6GV7rCnAVD8eoGmj0zmynahtSk1NxbKN25DpMxiAHGGqGnyZVsqJLBsQoJXhi2fvwP98eRhfpV/EuztP44u085gZ2xkT+urR0d8DMpnz57jgxKRERK5JkiSM6R2C/PJsVBk88Ldvj+Nvv4l2dlhERG5LASt6h3qjd6g3AFsu5dShXzAhugP6DhwCo9kKg9kKo9mKpNSD2HqyBDWaQOQWV+N8aQ3OwxsivRb9hhjh78mR6UQAk+jkJAW5WfiipARHa3zs6zKSUhDSrR+6Xud9kiRBBTM6Bfli2NBfL6yTvtkAmeSLvrFjUF5jRlmtCeU1JlzIuwRPDy3KzApcqqhFtdGCaiMAKHApp/TX/Qo/7MxXISivAN4KK7yVFtRePI0FQmDEiBHXPRaObCdqu+Qd+qK8VA6lXELc4D7QKl1rZLUr0SjlWP7QQIzro8cb3xxDXlktFn1/Aou+PwGtUo5uwV7wsFbjcoUGZTklCPHWIFjX+jcaOTEpEZFr0irlGN9Hj80HL+Czn3Nwd69gjOkd4uywiIjaBEmSIJcAP40MPUIcy2YZchU4m1uLbv07oKLWhJRzJThyoRQ/51swflki3pwahXuiQp0UOZHrYBKdnCYwPBKRfQfZX+dlnbqt/UmSrZSLTqNEB2gBAFk12XhoaDBiY2NRa7LgQmkNtu5Lw3fHCiF5h6Cw0oCiSqPtDqzSCxdqgQt1O9T2wzM/lqHPkf0I99Oig68WoT5ahHirodMo4amWQ6dWotxgRXDnHujcZyAkyfkjLYmoedSaBTLKbX1Jvw6+TKA30X39QjGmdzA2H7yArw5ewIGcEtSYLMi4UHalhRpnMwsBADIJ8FV4wi/LgG7RtdD7sKQKEVF71tHfAxGmXOQqI7DgP4fxQ/woBDnhhisRUXul0yhxd69geFfm4JzFFxcqjXh23QH8dnA4XpvcB0pYkJyc3OB7hw8fzhKJ1KYxiU5tWkNlY2SXTqCTxgtdewYDsD3WtOu7TTBogxDQJQqFlQYUVhpRUmVApRH4JasYv2Td6JN0kC6dhlIug1IuARZPHE4sR/Dh/fDxUCJYp0aAhwI1xfkI9JAh1FMOf60EmSSx7AuRi/riZC1qrDLoNAoMjfR3djhuRaOU4+GhHfHw0I4wW6zILq5G5qVK7D1wFPvPlUF4+COvrBY1JguKTQp8crQWnx7bgcEd/XBvdCjujQ5lQp2IqJ3qYjwLz4g+OJFfgRe/PIyPZ8RwoAoRUSvzVVqQMEyLg8ZQfJh4Bv9JO4+fs4rwRHeBb7fuQIeuvR3aXzhzHPEA4uLinBEuUatgEp3atKaUjZEkCWphgodUjSGdf02UnT5yACN6hcEztCsulNbgYmkN8kprUVBhQJXBjAqDGZW1ZtSYLAAAAcBoscJoAQAZqsosOFdW3GhscgiorDWITqnE8D6dERXmjagOPgj10fCHApGTVRvNOHDJNtnOmF7BUClkTo7IfSnkMnQN8kLXIC94lZ5GWVEtukSFQQiBshoTUjNOwKj0QmaJBanZJUjNLsH/fnMMgzr6om+YDzoFeNhHIZ68YMSFGiUslyqguHLTstoiwSqEk4+SiIiaixxWLH9oAKas3IedJwrw2c85eGx4J2eHRUTU7ihlEhbc0wt39QrGnzemI7e4Bm/9DHTRD0LnqCgo5PyNRO0Lk+jU5t1y2RiLCRU5x9HZR4EgFTAgGDD6GgEAKpUKgG1yjUOHM3Co0gvhvQbCaLHCZLHi3MmjiNAYoI/ojEqjQEmtFWcvFuKiUQ2zwgNlNSZYhIQamQd+yTPhl7xM+8fqVEBnbzm6+inR2UeOzj5yBHrIMCQmhiPWiVqJh0qBRaN0eC8pH50CPJ0dTpskSRJ8PVTo4mnEg0O80DV6ML7PyMd3GXlIzS7BgZxSHLhq7opfeQBH8q967Y0935ejR/oe9Av3xYAI29ItyMslJjMlIqKb10vvjRfv6YU3vjmGN789hsGd/OyT4xERUesa0tkf3/3pTiR8fRSbDlzAmRot1l2Zu6Kjv4ezwyNqNUyiEzWi4VHs2yHX6NBn0LCr1tlGtvdUK1CXajudn4kDJSXoI/1ajqD88HZ07dYPw+68B1arQFmtCft3bUdxrYCHPhKlJhkqzTJUGCVkFFqQUWixv1cmLOi27ycM7dEBvUO9ERngiVBfLUJ9NNCwTjNRi9AoJIRrTc4Oo90I9dHiDyMj8YeRkcgvq8XuU5dxrqgK2cXVKLXNCI3S0lJcKjdA5eEFs0XAYLaivMYIo1XCkQvlOHKhHOt/zgEAeKkViOrgjXA/DwTr1PD3VCE324DsaiWMeeWQyyTIZRIKDAocLzJDX1CJTgEeUN7kiJra2lqkpqbWWx8TE8OakEREt+H3sZ2x62QB9mQWYubqX7Bp1gh08NU6OywionbJW6PE0ukDEGYtxKrDNSirMWHzwQvoGaLDnd0DnR0eUatgEp3oOhoaxS739G3SyPbrjYCXyST4eajgay1HgJ8vhsX2AQCYLVbs/OEb1GgD4RnaFQXlBhRXGWGBHKeKLTiVnFPvc/w9VfDVKuGpVsBDJYdWKUNVRRnkEqCQSVDIALkEhIYEQ61SQiGXoJTJIAkrCi5dhFySIJcBCglQwAI/jQyBXir4aSR4KCRIrNtORK1M76PB9CER9dbv3bsXG1OK0SXq1xqMpzNScVefDvDo0AOHcktxMLcUGefLUGkwI/lsMYBry2p54PCxS1e99sTP+6vwt/2JUMgkdA70RJ9Qb0R18EZUmA/6dvCBj1bZaKypqalYvnEbQrv0tK/LO3sS8QBGjhx5S8dPRES26+WVDw/Cbz9MQmZBJX73QRLW/mEouofonB0aEVG7FaNX4FROKS55ROLw+TKcvFSBs4WV6KTSosrEEovUtrWrJPr777+Pv//978jLy0Pfvn2xfPly3Hnnnc4Oi8hOIZfBS1TDRyrHsN4hAACLVeDI4UPo2ykYZl0ITuRVILekGnmlVyblqzKiuMp4451nn7+JSGoBAHJJQGmpRc/kCkRFhqGDnxYdfLUI99Oig69tdCfLJVBrYj9O15JJgN5LjpFXJiQFbDckMwsqcfRiOS6V16KgvBZlNSZcvFSA7KIaqL18YLEKWKwC1dVV8NIoUWqUUG204HRBJU4XVOLrQxftn9HR3wNdgzzRwU+LMF8tfLRK6DRK6DQKZBWb4dmxNwK7RUMtl0F5k/XzOZKd2hP24XSzfDyUWPuHoXjs459x9nIVpqzch79M6IlHh3eEWsGnMYlaG/txAgClDIjrGYzeod746WQBLpUbcLpGi78kVuOg4Rh+GxOOXnqW4KK2p90k0Tdu3Ij4+Hi8//77GDFiBP7v//4PEydOxLFjx9CxY0dnh0fUKLlMgqdkgHfJSUSHqzDaBwBUEEKJlENH8ePJEvh36AKzAMxWCdmnj8MrOAKduveB1SpgEQLnTmSgprYWAfoOsAoJAkBh/nlovAMRqO8AixCwWoGC/IswyTWwKjQwmK2wCAkWmRaHCsw4VFB/FLxSLiHM15ZY7+CrtSfZQ3208FDL4aGSw0OpgFYlh1Ylh1ySIEmAJAEySYJMkiABV9YxGU/Xx36cmkohl6F3qHe9+rm2kexF6BLVx77u7JFUPDikI0aMGIG8slqcvFSBYxfLceRCGY5cLENucQ1yiquRU1x9nU/UIXHfOfsrueSN3dvKEZC8Cx5qObRKOTRXFq1SDrVCZp8Y9VJ+HtJPZkPn62frGwFUllzGqDMGdOvaBUq5reyMQmbrM+VX/imTSZBJgMVsxtkzZwBc6UuvxNC9WzeoVCrUda22bb82sPW9EoxGI05nnrqy7teNvXr0gEqtsq+Xrnlf3WfZ1v+6XSZJMBmNOHH8+K/9/ZWYoqP6QqPRQHb1d4AE+7HUrTMZDTh0KB0y/PqdIQGIGTwIWq3Gdh7s3ye3/t0hhIDJImC2WmEyC/u8JpXVNTh4KOPK96qAxQqYrUBkt+4YF9Xhlj+vvWMfTrcqzFeLL5+NxazPDmD/2SL87zfH8GHiGUzuH4Yhnf0QGeiFTgEeLHHYyqxWcaWPFDBZrbBYbK/NVivMFttoVJnM1l/LpKv/XYJMBvt3miQBVitgEbZ91f1+qfunxSpQN3+4TGb7ppJd2SeufHcIAdSaLFcWK2pMFtTYX1tQY7T9s3+ELwZ29HPaOXN37MfpWiHeGjwYE4Ezl6uQeCwXlWYF/rk3C//cm4Veeh2GdPbHoE6+6BrkBb23BgFeasg5CI+aSAgBq4B98JNFCHipnZvGbjdJ9KVLl+LJJ5/EH//4RwDA8uXL8eOPP+KDDz7AokWL6rU3GAwwGAz212VlZQCA8vLyJn9mVVUVck4chrH21x/e+TmnIVd74aS3l9PXuVo8PL7G1x39eRd2FxchPPK4w/HlnMxAUKee0IUG2VZIQEFxJlCVB62P1d5OfnYPfNRe6Bbx6wSJ5rwUyIu90Mk3xr7OcHoX5Gov9BoQA4sAaiwSLl7MR2RYAFR+ehRXW1FUa0VRtUCJwQqDALKqq5D164DN23KzX6fXy53c6r4c3ifV348Ex8+tSzoJ2C7wBWC/0Lde9VoAeHJkJP48rkeT4qnra4TgI3F1bqYfb6k+HADyz53Gz9Y8VFVVXff9R44cQc6py47fAU18ryu83xVjaq33dwPQLQiYGgRUGmXIrbDicrUVRTVWlNRaUWMWqDELVJuA8hoDqkyAVVLAeqU/sAIoqQVKypt6nn2QV2K96nUAPksvBtKvLUVzE/YV3vp7ASDx8u29vyHbCm7v/f/9rt4q+41Y2J5KQN3rK8l72VUJfwCwXJUYt9xs95p4GYdeG9/kH3/sxx0541ocAIxGA2qrKuutt1jM9dYbjYYG99/YPm6mfUOf11yfeTPH6A6f2VBbOYAPpvfGFwdy8X+7ziK/sASrdpRg1dVtZBLUCgkahRwqheyGN9ka2tzYW67+M27sT/rqv3XhsN6hVcP7vK32N/5cgYbb4Bb2abECFqsVVjfs2p4b3RVdfZt2s4V9eH3OuBY/dzwdxtoah/X5505DpvXCsZ99HNZfzDqJZPMFh2u6jIwMnMu83KR9NPT+6+3jdj/vZvdxM/HdzOc1to+bPR8d80+iY0QnXFR3QMZlK45lV+NY9iWshSOlDJDLAOWV0rM3uqpqaPuN3tPQX21T/5Kb3K6BhrfzGQ13NfVXNrFZo7G0yvE1sWFj/52E1fZ76trvGblMwqHXxjcxihbqx0U7YDAYhFwuF5s2bXJY//zzz4tRo0Y1+J7XXntN4Mp/Py5cuHBx1pKbm9sa3aTLu9l+nH04Fy5cXGVhP85rcS5cuLjvwj7chtfiXLhwcdelOfvxdjESvbCwEBaLBSEhIQ7rQ0JCkJ+f3+B7XnrpJcybN8/+2mq1ori4GAEBAU1+dLi8vBwRERHIzc2FtzfrQV2L56dxPDfX1x7OjxACFRUVCAsLc3YoLuFm+3H24a6N57Zl8Ly2nFs5t+zHf8Vr8VvD+J2L8TuXs+NnH+6I1+LtA8956+M5bzkt0Y+3iyR6nWs7ayFEox24Wq2GWq12WOfr63tLn+vt7c0/huvg+Wkcz831tfXz4+Pj4+wQXE5T+3H24e6B57Zl8Ly2nJs9t+zHHfFa/NYwfudi/M7lzPjZh9fHa/H2gee89fGct4zm7sdlN27i/gIDAyGXy+vdIS0oKKh3J5WIiFwP+3EiIvfFPpyIyL2xHyciaidJdJVKhcGDB2Pbtm0O67dt24bY2FgnRUVERE3FfpyIyH2xDycicm/sx4mI2lE5l3nz5uHxxx9HTEwM7rjjDnz00UfIycnBs88+22KfqVar8dprr9V7jIlseH4ax3NzfTw/7VNr9+P8/6zl8Ny2DJ7XlsNze/t4LX7zGL9zMX7ncvf42yJei7d9POetj+fcvUhCCOHsIFrL+++/j8WLFyMvLw9RUVFYtmwZRo0a5eywiIioidiPExG5L/bhRETujf04EbVn7SqJTkRERERERERERER0M9pFTXQiIiIiIiIiIiIiolvBJDoRERERERERERERUSOYRCciIiIiIiIiIiIiagST6EREREREREREREREjWASvYW8//77iIyMhEajweDBg7Fnzx5nh9Qqdu/ejcmTJyMsLAySJOGrr75y2C6EQEJCAsLCwqDVahEXF4ejR486tDEYDJg7dy4CAwPh6emJKVOm4Pz58614FC1j0aJFGDJkCHQ6HYKDgzF16lScPHnSoU17Pj8ffPAB+vXrB29vb3h7e+OOO+7A999/b9/ens8NOUd77cdbSkJCAiRJclj0er2zw3JLzfFdSw270bmdOXNmvf+Phw8f7pxg6brctQ93x77S3fskd/67b67fF87SlPhd+fxTy3LXftwduHu/7W7cva+mXzGJ3gI2btyI+Ph4LFy4EAcPHsSdd96JiRMnIicnx9mhtbiqqir0798fK1eubHD74sWLsXTpUqxcuRIpKSnQ6/UYN24cKioq7G3i4+OxefNmbNiwAXv37kVlZSUmTZoEi8XSWofRIhITEzF79mwkJydj27ZtMJvNGD9+PKqqquxt2vP5CQ8Px9tvv43U1FSkpqbi7rvvxv3332//4mjP54ZaX3vux1tS3759kZeXZ18yMjKcHZJbao7vWmrYjc4tANxzzz0O/x9/9913rRghNYW79+Hu1le6e5/kzn/3zfX7wlmaEj/guuefWo679+Ouzt37bXfj7n01XUVQsxs6dKh49tlnHdb16tVL/M///I+TInIOAGLz5s3211arVej1evH222/b19XW1gofHx/x4YcfCiGEKC0tFUqlUmzYsMHe5sKFC0Imk4kffvih1WJvDQUFBQKASExMFELw/DTEz89P/POf/+S5oVbHfrz5vfbaa6J///7ODqPNuZXvWmqaa8+tEELMmDFD3H///U6Jh5rOnftwd+8r3b1Pcve/+1v5feFKro1fCPc6/9R83Lkfdzfu3m+7I3fvq9szjkRvZkajEWlpaRg/frzD+vHjxyMpKclJUbmGrKws5OfnO5wbtVqN0aNH289NWloaTCaTQ5uwsDBERUW1ufNXVlYGAPD39wfA83M1i8WCDRs2oKqqCnfccQfPDbUq9uMtJzMzE2FhYYiMjMRDDz2Es2fPOjukNqcp/SXdnl27diE4OBg9evTAU089hYKCAmeHRFdpC314W+or20qf5C5/97fy+8KVXBt/HXc5/9Q82kI/7s7crd9wR+7eV7dnTKI3s8LCQlgsFoSEhDisDwkJQX5+vpOicg11x3+9c5Ofnw+VSgU/P79G27QFQgjMmzcPI0eORFRUFACeHwDIyMiAl5cX1Go1nn32WWzevBl9+vThuaFWxX68ZQwbNgyffPIJfvzxR6xatQr5+fmIjY1FUVGRs0NrU5rSX9KtmzhxIj777DPs3LkTS5YsQUpKCu6++24YDAZnh0ZXuHsf3tb6yrbQJ7nL3/2t/r5wFQ3FD7jP+afm4+79uLtzp37DHbl7X93eKZwdQFslSZLDayFEvXXt1a2cm7Z2/ubMmYPDhw9j79699ba15/PTs2dPpKeno7S0FF9++SVmzJiBxMRE+/b2fG6o9bEfb14TJ060/3t0dDTuuOMOdO3aFWvXrsW8efOcGFnbxP9/W8aDDz5o//eoqCjExMSgU6dO+PbbbzFt2jQnRkbXcte/gbbaV7rrfw/Aff7um/v3RWtrLH53Of/U/Nzh/9u2jOe/Zbh7X93ecSR6MwsMDIRcLq93t6igoKDeXaX2Rq/XA8B1z41er4fRaERJSUmjbdzd3Llz8fXXX+Onn35CeHi4fT3PD6BSqdCtWzfExMRg0aJF6N+/P/7xj3/w3FCrYj/eOjw9PREdHY3MzExnh9KmNKW/pOYTGhqKTp068f9jF9LW+nB37yvbYp/kin/3t/P7whU0Fn9DXPH8U/Nqa/24u3GXfsMduXtfTUyiNzuVSoXBgwdj27ZtDuu3bduG2NhYJ0XlGiIjI6HX6x3OjdFoRGJiov3cDB48GEql0qFNXl4ejhw54vbnTwiBOXPmYNOmTdi5cyciIyMdtrf389MQIQQMBgPPDbUq9uOtw2Aw4Pjx4wgNDXV2KG1KU/pLaj5FRUXIzc3l/8cupK314e7eV7bFPsmV/u6b4/eFM90o/oa40vmnltHW+nF34+r9hjty976artJ6c5i2Hxs2bBBKpVJ8/PHH4tixYyI+Pl54enqKc+fOOTu0FldRUSEOHjwoDh48KACIpUuXioMHD4rs7GwhhBBvv/228PHxEZs2bRIZGRni4YcfFqGhoaK8vNy+j2effVaEh4eL7du3iwMHDoi7775b9O/fX5jNZmcdVrN47rnnhI+Pj9i1a5fIy8uzL9XV1fY27fn8vPTSS2L37t0iKytLHD58WPz1r38VMplMbN26VQjRvs8Ntb723I+3lPnz54tdu3aJs2fPiuTkZDFp0iSh0+l4Tm9Bc3zXUsOud24rKirE/PnzRVJSksjKyhI//fSTuOOOO0SHDh14bl2MO/fh7thXunuf5M5/9831+8JZbhS/q59/ajnu3I+7A3fvt92Nu/fV9Csm0VvIe++9Jzp16iRUKpUYNGiQSExMdHZIreKnn34SAOotM2bMEEIIYbVaxWuvvSb0er1Qq9Vi1KhRIiMjw2EfNTU1Ys6cOcLf319otVoxadIkkZOT44SjaV4NnRcAYvXq1fY27fn8/OEPf7D/zQQFBYkxY8bYE+hCtO9zQ87RXvvxlvLggw+K0NBQoVQqRVhYmJg2bZo4evSos8NyS83xXUsNu965ra6uFuPHjxdBQUFCqVSKjh07ihkzZvB7xkW5ax/ujn2lu/dJ7vx331y/L5zlRvG7+vmnluWu/bg7cPd+2924e19Nv5KEEKJ5xrQTEREREREREREREbUtrIlORERERERERERERNQIJtGJiIiIiIiIiIiIiBrBJDoRERERERERERERUSOYRCciIiIiIiIiIiIiagST6EREREREREREREREjWASnYiIiIiIiIiIiIioEUyiExERERERERERERE1gkl0ohYyc+ZMTJ069bpt4uLiEB8f3yrxNESSJHz11VdO+3wiohtpiX7S2X1vU7GPJiJy1LlzZyxfvtzZYTRo165dkCQJpaWlzg6FiMjlrFmzBr6+vs4Oo9m0teOhpmESndq1hIQEDBgwwNlhEBERERERERG5NOZQqD1jEp3IzZlMJmeHQEREN4l9NxGR+7BYLLBarc4Og4iIWgGv06kxTKKT24iLi8PcuXMRHx8PPz8/hISE4KOPPkJVVRV+//vfQ6fToWvXrvj+++8B/PpI5Y4dOxATEwMPDw/Exsbi5MmTAGyP37z++us4dOgQJEmCJElYs2YNAODEiRMYOXIkNBoN+vTpg+3bt9d7rD4jIwN33303tFotAgIC8PTTT6OysrLR+KuqqvDEE0/Ay8sLoaGhWLJkSb02nTt3xhtvvIFHHnkEXl5eCAsLw4oVKxzaSJKEDz/8EPfffz88PT3x5ptvAgA++OADdO3aFSqVCj179sSnn37q8L7MzEyMGjXKfkzbtm1z2G40GjFnzhyEhoZCo9Ggc+fOWLRoUdP+4xBRmxIXF4fnn38eCxYsgL+/P/R6PRISEgAA586dgyRJSE9Pt7cvLS2FJEnYtWsXgF/73x9//BEDBw6EVqvF3XffjYKCAnz//ffo3bs3vL298fDDD6O6utq+n6b0k0ajEQsWLECHDh3g6emJYcOG2T8XAIqKivDwww8jPDwcHh4eiI6Oxueff37d433//ffRvXt3aDQahISE4Le//a3DuZgzZw7mzJkDX19fBAQE4OWXX4YQwt6mobIrvr6+9u+UunP273//G3FxcdBoNFi3bh0A4F//+hf69u0LtVqN0NBQzJkzx2E/hYWF+M1vfgMPDw90794dX3/9tX2bxWLBk08+icjISGi1WvTs2RP/+Mc/HN6/a9cuDB06FJ6envD19cWIESOQnZ1t375lyxYMHjwYGo0GXbp0weuvvw6z2WzfnpCQgI4dO0KtViMsLAzPP//8dc8lEbkmZ/TrW7Zsga+vrz35nJ6eDkmS8Je//MX+Oc888wwefvhh++ukpCSMGjUKWq0WEREReP7551FVVeVwLBUVFTe8Vv7ggw8wceJEaLVaREZG4osvvrBvb6jsSl1s586dA/DrY/rffPMN+vTpA7VajezsbBgMBixYsAARERFQq9Xo3r07Pv74Y4fPT0tLa/C3BwCcOXMG999/P0JCQuDl5YUhQ4Zg+/btDu+/3neSEAKLFy9Gly5doNVq0b9/f/znP/+xby8pKcGjjz6KoKAgaLVadO/eHatXrwYRuR5nXW9brVa888476NatG9RqNTp27Ii//e1v9u0vvvgievToAQ8PD3Tp0gWvvPKKPal8vRzK0qVLER0dDU9PT0RERGDWrFnXzY8AN85h3CgvU3eeNmzYgNjYWGg0GvTt29fht0FDZVe++uorSJJkf103uv5f//oXunTpArVaDSEESktL8fTTTyMkJAQajQZRUVH45ptvHPb1448/onfv3vDy8sI999yDvLw8+7aUlBSMGzcOgYGB8PHxwejRo3HgwAGH91/vWvtGv3uys7MxefJk+Pn5wdPTE3379sV333133XNOt0kQuYnRo0cLnU4n3njjDXHq1CnxxhtvCJlMJiZOnCg++ugjcerUKfHcc8+JgIAAUVVVJX766ScBQAwbNkzs2rVLHD16VNx5550iNjZWCCFEdXW1mD9/vujbt6/Iy8sTeXl5orq6WlgsFtGzZ08xbtw4kZ6eLvbs2SOGDh0qAIjNmzcLIYSoqqoSYWFhYtq0aSIjI0Ps2LFDREZGihkzZtjjnTFjhrj//vvtr5977jkRHh4utm7dKg4fPiwmTZokvLy8xJ/+9Cd7m06dOgmdTicWLVokTp48Kd59910hl8vF1q1b7W0AiODgYPHxxx+LM2fOiHPnzolNmzYJpVIp3nvvPXHy5EmxZMkSIZfLxc6dO4UQQlgsFhEVFSXi4uLEwYMHRWJiohg4cKDDMf39738XERERYvfu3eLcuXNiz549Yv369S3y35KIXNvo0aOFt7e3SEhIEKdOnRJr164VkiSJrVu3iqysLAFAHDx40N6+pKREABA//fSTEELY+9/hw4eLvXv3igMHDohu3bqJ0aNHi/Hjx4sDBw6I3bt3i4CAAPH222/b99OUfvKRRx4RsbGxYvfu3eL06dPi73//u1Cr1eLUqVNCCCHOnz8v/v73v4uDBw+KM2fO2PvR5ORkh+Or22dKSoqQy+Vi/fr14ty5c+LAgQPiH//4h0PbuhhOnDgh1q1bJzw8PMRHH31kb3N1X1rHx8dHrF69Wggh7Oesc+fO4ssvvxRnz54VFy5cEO+//77QaDRi+fLl4uTJk+KXX34Ry5Ytc9hveHi4WL9+vcjMzBTPP/+88PLyEkVFRUIIIYxGo3j11VfFL7/8Is6ePWuPbePGjUIIIUwmk/Dx8REvvPCCOH36tDh27JhYs2aNyM7OFkII8cMPPwhvb2+xZs0acebMGbF161bRuXNnkZCQIIQQ4osvvhDe3t7iu+++E9nZ2eLnn392OG4ich/O6NdLS0uFTCYTqampQgghli9fLgIDA8WQIUPsn9OjRw/xwQcfCCGEOHz4sPDy8hLLli0Tp06dEvv27RMDBw4UM2fOtLdv6rVyQECAWLVqlTh58qR4+eWXhVwuF8eOHXM4lpKSEvt7Dh48KACIrKwsIYQQq1evFkqlUsTGxop9+/aJEydOiMrKSjF9+nQREREhNm3aJM6cOSO2b98uNmzY4LDfxn57CCFEenq6+PDDD8Xhw4fFqVOnxMKFC4VGo7H3yzf6TvrrX/8qevXqJX744Qdx5swZsXr1aqFWq8WuXbuEEELMnj1bDBgwQKSkpIisrCyxbds28fXXX9/8/zBE1OKcdb29YMEC4efnJ9asWSNOnz4t9uzZI1atWmXf/sYbb4h9+/aJrKws8fXXX4uQkBDxzjvvCCEaz6EIIcSyZcvEzp07xdmzZ8WOHTtEz549xXPPPWff7+rVq4WPj4/9dVNyGDfKy9Sdp/DwcPGf//xHHDt2TPzxj38UOp1OFBYWNvi5QgixefNmcXU69LXXXhOenp5iwoQJ4sCBA+LQoUPCbDaL4cOHi759+4qtW7eKM2fOiC1btojvvvvOvl+lUinGjh0rUlJSRFpamujdu7d45JFH7PvdsWOH+PTTT8WxY8fEsWPHxJNPPilCQkJEeXm5EOLG19o3+t1z3333iXHjxonDhw/b40tMTLzB/3l0O5hEJ7cxevRoMXLkSPtrs9ksPD09xeOPP25fl5eXJwCI/fv3279Utm/fbt/+7bffCgCipqZGCGHrLPv37+/wOd9//71QKBQiLy/Pvm7btm0OnfVHH30k/Pz8RGVlpcO+ZTKZyM/PF0I4JtErKiqESqWyX2QLIURRUZHQarX1kuj33HOPQzwPPvigmDhxov01ABEfH+/QJjY2Vjz11FMO6373u9+Je++9VwghxI8//ijkcrnIzc11OM6rj2nu3Lni7rvvFlarVRBR+3ZtfyuEEEOGDBEvvvjiTV3UX93/Llq0SAAQZ86csa975plnxIQJE4QQTesnT58+LSRJEhcuXHCIbcyYMeKll15q9HjuvfdeMX/+fIfjq9vnl19+Kby9ve0Xsw2di969ezv0jS+++KLo3bu3/XVTk+jLly93aBMWFiYWLlzYaNwAxMsvv2x/XVlZKSRJEt9//32j75k1a5Z44IEHhBC28wfAnly51p133ineeusth3WffvqpCA0NFUIIsWTJEtGjRw9hNBob/Twicg/O6NeFEGLQoEHi//2//yeEEGLq1Knib3/7m1CpVKK8vNx+3X78+HEhhBCPP/64ePrppx1i3LNnj5DJZPZr96ZeKz/77LMObYYNG2ZP5jQ1iQ5ApKen29ucPHlSABDbtm0TDWnKb4+G9OnTR6xYsUIIcf3vpMrKSqHRaERSUpLD+ieffFI8/PDDQgghJk+eLH7/+983+llE5Dqc0S+Xl5cLtVrtkDS/kcWLF4vBgwfbXzeUQ2nIv//9bxEQEGB/fW0y+0Y5jKbkZerO09U3CUwmkwgPD7cn/puaRFcqlaKgoMC+7scffxQymUycPHmyweOr+544ffq0fd17770nQkJCGj0nZrNZ6HQ6sWXLFiHE9a+1m/K7Jzo62j74hVoHy7mQW+nXr5/93+VyOQICAhAdHW1fFxISAgAoKCho8D2hoaH1tl/r5MmTiIiIgF6vt68bOnSoQ5vjx4+jf//+8PT0tK8bMWIErFarwyObdc6cOQOj0Yg77rjDvs7f3x89e/as1/bqNnWvjx8/7rAuJiamXjwjRoxwWDdixAj7+44fP46OHTsiPDy80c+ZOXMm0tPT0bNnTzz//PPYunVrvdiIqP24uu8EbP3n9frOG+0jJCTE/ljo1evq9tmUfvLAgQMQQqBHjx7w8vKyL4mJiThz5gwAW4mTv/3tb+jXrx8CAgLg5eWFrVu3Iicnp8EYx40bh06dOqFLly54/PHH8dlnnzk88goAw4cPd3jk84477kBmZiYsFstNnY+r++6CggJcvHgRY8aMue57rj6Hnp6e0Ol0Dv8dPvzwQ8TExCAoKAheXl5YtWqV/Vj9/f0xc+ZMTJgwAZMnT8Y//vEPh0dM09LS8L//+78O5/Kpp55CXl4eqqur8bvf/Q41NTXo0qULnnrqKWzevNmh1AsRuZfW7tcBW7mCXbt2QQiBPXv24P7770dUVBT27t2Ln376CSEhIejVqxcAW5+0Zs0ahz5pwoQJsFqtyMrKsu+zKdfKTWlzIyqVyuF409PTIZfLMXr06Ou+73q/PaqqqrBgwQL06dMHvr6+8PLywokTJ+z99vW+k44dO4ba2lqMGzfO4Rx98skn9u/A5557Dhs2bMCAAQOwYMECJCUl3dQxE1Hrau1++fjx4zAYDNe9/vzPf/6DkSNHQq/Xw8vLC6+88kqj19FX++mnnzBu3Dh06NABOp0OTzzxBIqKiuqV5KpzoxxGU/Iyda7u8xUKBWJiYm66z+/UqROCgoLsr9PT0xEeHo4ePXo0+h4PDw907drV/vra/34FBQV49tln0aNHD/j4+MDHxweVlZX283m9a+2m/O55/vnn8eabb2LEiBF47bXXcPjw4Zs6Zrp5TKKTW1EqlQ6vJUlyWFeX5Lh64p8bbb+WEMIhWXKzbRpaL66qnXsrrt3n1cn7xtpcHWNDn39t+0GDBiErKwtvvPEGampqMH36dIcajETUvjTU31qtVshktkuHq/uVxibfubb/bWyf1+6vMVarFXK5HGlpaUhPT7cvx48ft9cCX7JkCZYtW4YFCxZg586dSE9Px4QJE2A0Ghvcp06nw4EDB/D5558jNDQUr776Kvr37+9QK/dGJEmqF39D5+Tqvlur1TZp39c7Z//+97/x5z//GX/4wx+wdetWpKen4/e//73Dsa5evRr79+9HbGwsNm7ciB49eiA5ORmA7Xy+/vrrDucyIyMDmZmZ0Gg0iIiIwMmTJ/Hee+9Bq9Vi1qxZGDVqFCdbInJTrd2vA7Yk+p49e3Do0CHIZDL06dMHo0ePRmJiInbt2uWQkLZarXjmmWcc+qRDhw4hMzPTIUnRkBtdu1/dpqnHq9VqHfZ7K/32tb89/vKXv+DLL7/E3/72N+zZswfp6emIjo6299vX+06q28e3337rcI6OHTtmr4s+ceJEZGdnIz4+3n6j9oUXXmhS3ETU+lq7X75RP5acnIyHHnoIEydOxDfffIODBw9i4cKFjV5H18nOzsa9996LqKgofPnll0hLS8N777133bjrYrvatTmMpvTtN9q3TCa76et0oGl9fkPn+urPmjlzJtLS0rB8+XIkJSUhPT0dAQEB9vN5vWvtpvzu+eMf/4izZ8/i8ccfR0ZGBmJiYurNE0LNi0l0atdUKlW9kYS9evVCTk4OLl26ZF+XkpLi0KZPnz5IT093uKu6b98+yGSyBu9UduvWDUql0p64AGwT/5w6dape26vb1L2uG6HTmN69e2Pv3r0O65KSktC7d297vDk5Obh48aJ9+/79++vtx9vbGw8++CBWrVqFjRs34ssvv0RxcfF1P5uI2pe6ERpXj2i+etKjW9WUfnLgwIGwWCwoKChAt27dHJa6USp1Ix0fe+wx9O/fH126dEFmZuZ1P1uhUGDs2LFYvHgxDh8+jHPnzmHnzp327Q31y927d4dcLgdgOydXn4/MzMx6o9mvpdPp0LlzZ+zYseMGZ6Zxe/bsQWxsLGbNmoWBAweiW7du9pEpVxs4cCBeeuklJCUlISoqCuvXrwdgu3l68uTJeueyW7du9h9vWq0WU6ZMwbvvvotdu3Zh//79yMjIuOWYicj1tFS/DgCjRo1CRUUFli9fjtGjR0OSJIwePRq7du2ql0QfNGgQjh492mCfpFKp7O2acq18vTa3erzR0dGwWq1ITExs2sE3YM+ePZg5cyZ+85vfIDo6Gnq93j6ZaZ3GvpPqJjjNycmpd34iIiLs7w8KCsLMmTOxbt06LF++HB999NEtx0tEztFS/XL37t2h1Wobvf7ct28fOnXqhIULFyImJgbdu3d3mJAeaDiHkpqaCrPZjCVLlmD48OHo0aOHQ+6hITfKYTQlL1Pn6j7fbDYjLS3Noc+vqKhwyN005Vz269cP58+fbzBn01R79uzB888/j3vvvRd9+/aFWq1GYWGhQ5vGrrWb8rsHsCXin332WWzatAnz58/HqlWrbjleujGFswMgcqbOnTsjKyvL/qiOTqfDuHHj0LVrV8yYMQOLFy9GRUUFFi5cCODXu5mPPvooXnvtNcyYMQMJCQm4fPky5s6di8cff9xeUuZqXl5eePLJJ/GXv/wFAQEBCAkJwcKFC+1Jiqvt27cPixcvxtSpU7Ft2zZ88cUX+Pbbb697HH/5y18wffp0DBo0CGPGjMGWLVuwadMmbN++HQAwduxY9OzZE0888QSWLFmC8vJy+zHVWbZsGUJDQzFgwADIZDJ88cUX0Ov19WayJqL2TavVYvjw4Xj77bfRuXNnFBYW4uWXX77t/Taln+zRowceffRRe182cOBAFBYWYufOnYiOjsa9996Lbt264csvv0RSUhL8/PywdOlS5Ofn2y/Ir/XNN9/g7NmzGDVqFPz8/PDdd9/BarU6lJHJzc3FvHnz8Mwzz+DAgQNYsWIFlixZYt9+9913Y+XKlRg+fDisVitefPHFeiNTGpKQkIBnn30WwcHBmDhxIioqKrBv3z7MnTu3SeesW7du+OSTT/Djjz8iMjISn376KVJSUhAZGQkAyMrKwkcffYQpU6YgLCwMJ0+exKlTp/DEE08AAF599VVMmjQJERER+N3vfgeZTIbDhw8jIyMDb775JtasWQOLxYJhw4bBw8MDn376KbRaLTp16tSk+IjIPbRUvw4APj4+GDBgANatW2cfOTdq1Cj87ne/g8lkQlxcnL3tiy++iOHDh2P27Nl46qmn4OnpiePHj2Pbtm0OI+uacq38xRdfICYmBiNHjsRnn32GX375BR9//DEA2JPOCQkJePPNN5GZmenQpzemc+fOmDFjBv7whz/g3XffRf/+/ZGdnY2CggJMnz69SeejW7du2LRpEyZPngxJkvDKK684jNy/3neSTqfDCy+8gD//+c+wWq0YOXIkysvLkZSUBC8vL8yYMQOvvvoqBg8ejL59+8JgMOCbb75p9PuPiFxXS/XLGo0GL774IhYsWACVSoURI0bg8uXLOHr0KJ588kl069YNOTk52LBhA4YMGYJvv/0WmzdvdthHQzmUrl27wmw2Y8WKFZg8eTL27duHDz/88Lqx3CiH0ZS8TJ333nsP3bt3R+/evbFs2TKUlJTgD3/4AwDYr2P/+te/Yu7cufjll1+wZs2aG56r0aNHY9SoUXjggQewdOlSdOvWDSdOnIAkSbjnnnuadL67deuGTz/9FDExMSgvL8df/vIXhxHu17vWDggIuOHvnvj4eEycOBE9evRASUkJdu7cyT6/hXEkOrVrDzzwAO655x7cddddCAoKwueffw65XI6vvvoKlZWVGDJkCP74xz/av7A0Gg0AW+2rH3/8EcXFxRgyZAh++9vfYsyYMVi5cmWjn/X3v/8do0aNwpQpUzB27FiMHDkSgwcPrtdu/vz5SEtLw8CBA/HGG29gyZIlmDBhwnWPY+rUqfjHP/6Bv//97+jbty/+7//+D6tXr7b/MJHJZNi8eTMMBgOGDh2KP/7xj/jb3/7msA8vLy+88847iImJwZAhQ3Du3Dl89913DSb6iah9+9e//gWTyYSYmBj86U9/wptvvtks+21KP7l69Wo88cQTmD9/Pnr27IkpU6bg559/to/Ce+WVVzBo0CBMmDABcXFx0Ov1mDp1aqOf6evri02bNuHuu+9G79698eGHH+Lzzz9H37597W2eeOIJ1NTUYOjQoZg9ezbmzp2Lp59+2r59yZIliIiIwKhRo/DII4/ghRdegIeHxw2Pd8aMGVi+fDnef/999O3bF5MmTbrhqPmrPfvss5g2bRoefPBBDBs2DEVFRZg1a5Z9u4eHB06cOIEHHngAPXr0wNNPP405c+bgmWeeAQBMmDAB33zzDbZt24YhQ4Zg+PDhWLp0qT1J7uvri1WrVmHEiBHo168fduzYgS1btiAgIKDJMRKRe2ipfh0A7rrrLlgsFvt1qZ+fH/r06YOgoCCHH/v9+vVDYmIiMjMzceedd2LgwIF45ZVX7HXF6zTlWvn111/Hhg0b0K9fP6xduxafffYZ+vTpA8D2+P3nn3+OEydOoH///njnnXeafLwffPABfvvb32LWrFno1asXnnrqqUbr/TZk2bJl8PPzQ2xsLCZPnowJEyZg0KBB9u03+k5644038Oqrr2LRokXo3bs3JkyYgC1btthvnqpUKrz00kvo168fRo0aBblcjg0bNjQ5PiJyHS3VL7/yyiuYP38+Xn31VfTu3RsPPvigvY73/fffjz//+c+YM2cOBgwYgKSkJLzyyisO728ohzJgwAAsXboU77zzDqKiovDZZ59h0aJF143jRjmMpuRl6rz99tt455130L9/f+zZswf//e9/ERgYCMA2R9C6devw3XffITo6Gp9//jkSEhKadK6+/PJLDBkyBA8//DD69OmDBQsW3NScSP/6179QUlKCgQMH4vHHH8fzzz+P4OBg+/YbXWvf6HePxWLB7Nmz0bt3b9xzzz3o2bMn3n///SbHRzdPErdbrJmoHdi3bx9GjhyJ06dP37Am4+3o3Lkz4uPjER8f32KfQURETRcXF4cBAwZg+fLlzg6FiIiaQJIkbN68+bo3UImIyP1cm5c5d+4cIiMjcfDgQQwYMMDZ4VE7wHIuRA3YvHkzvLy80L17d5w+fRp/+tOfMGLEiBZNoBMREREREREREfMy5HqYRCdqQEVFBRYsWIDc3FwEBgZi7NixTaqVSEREREREREREt4d5GXI1LOdCRERERERERERERNQIzhhIRERERERERERERNQIJtGJiIiIiIiIiIiIiBrBJDoRERERERERERERUSOYRCciIiIiIiIiIiIiagST6EREREREREREREREjWASnYiIiIiIiIiIiIioEUyiExERERERERERERE1gkl0IiIiIiIiIiIiIqJGMIlORERERERERERERNQIJtGJiIiIiIiIiIiIiBrBJDoRERERERERERERUSOYRCciIiIiIiIiIiIiagST6EREREREREREREREjWASnYiIiIiIiIiIiIioEUyiExERERERERERERE1gkl0IiIiIiIiIiIiIqJGMIlORERERERERERERNQIJtGJiIiIiIiIiIiIiBqhcHYA7sJqteLixYvQ6XSQJMnZ4RBRGyeEQEVFBcLCwiCT8X7n7WIfTkStjf1482I/TkStiX1482IfTkStrSX6cSbRm+jixYuIiIhwdhhE1M7k5uYiPDzc2WG4PfbhROQs7MebB/txInIG9uHNg304ETlLc/bjTKI3kU6nA2A7+d7e3k6OhojauvLyckRERNj7Hro97MOJqLW1hX580aJF2LRpE06cOAGtVovY2Fi888476Nmzp73NzJkzsXbtWof3DRs2DMnJyfbXBoMBL7zwAj7//HPU1NRgzJgxeP/992/qBw37cSJqTW2hD3cl7MOJqLW1RD/OJHoT1T1y5O3tzU6fiFoNH3dsHuzDichZ3LkfT0xMxOzZszFkyBCYzWYsXLgQ48ePx7Fjx+Dp6Wlvd88992D16tX21yqVymE/8fHx2LJlCzZs2ICAgADMnz8fkyZNQlpaGuRyeZNiYT9ORM7gzn24K2EfTkTO0pz9OJPoRERERERUzw8//ODwevXq1QgODkZaWhpGjRplX69Wq6HX6xvcR1lZGT7++GN8+umnGDt2LABg3bp1iIiIwPbt2zFhwoQG32cwGGAwGOyvy8vLb/dwiIiIiIhumUvPkJGQkABJkhyWqy/QhRBISEhAWFgYtFot4uLicPToUYd9GAwGzJ07F4GBgfD09MSUKVNw/vz51j4UIiIiIiK3VlZWBgDw9/d3WL9r1y4EBwejR48eeOqpp1BQUGDflpaWBpPJhPHjx9vXhYWFISoqCklJSY1+1qJFi+Dj42NfWEuXiIiIiJzJpZPoANC3b1/k5eXZl4yMDPu2xYsXY+nSpVi5ciVSUlKg1+sxbtw4VFRU2NvEx8dj8+bN2LBhA/bu3YvKykpMmjQJFovFGYdDRNSuLVq0CJIkIT4+3r6ON0SJiFyfEALz5s3DyJEjERUVZV8/ceJEfPbZZ9i5cyeWLFmClJQU3H333fZR5Pn5+VCpVPDz83PYX0hICPLz8xv9vJdeegllZWX2JTc3t2UOjIiIiIioCVy+nItCoWjw8VAhBJYvX46FCxdi2rRpAIC1a9ciJCQE69evxzPPPHPLj48CfISUiKi5paSk4KOPPkK/fv0c1tfdEF2zZg169OiBN998E+PGjcPJkyftk4A0Rz1dIiK6dXPmzMHhw4exd+9eh/UPPvig/d+joqIQExODTp064dtvv7Vfo/6am4EAAQAASURBVDdECHHdGpVqtRpqtfr2AyciIiIiagYuPxI9MzMTYWFhiIyMxEMPPYSzZ88CALKyspCfn+/waKharcbo0aPtj4be6uOjAB8hJSJqTpWVlXj00UexatUqh9GI194QjYqKwtq1a1FdXY3169cD+LWe7pIlSzB27FgMHDgQ69atQ0ZGBrZv397g5xkMBpSXlzssRER0a+bOnYuvv/4aP/30E8LDw6/bNjQ0FJ06dUJmZiYAQK/Xw2g0oqSkxKFdQUEBQkJCWixmIiIiIqLm5NJJ9GHDhuGTTz7Bjz/+iFWrViE/Px+xsbEoKiqyP/557cX31Y+G3urjowAfISUiak6zZ8/GfffdZ38qqE5L3RDljVAiotsnhMCcOXOwadMm7Ny5E5GRkTd8T1FREXJzcxEaGgoAGDx4MJRKJbZt22Zvk5eXhyNHjiA2NrbFYiciIiIiak4uXc5l4sSJ9n+Pjo7GHXfcga5du2Lt2rUYPnw4ANR7DPRGj4Y2tQ0fISUiah4bNmxAWloaUlNT62273g3R7Oxse5ubvSH60ksvYd68efbX5eXlTKQTEd2k2bNnY/369fjvf/8LnU5n73N9fHyg1WpRWVmJhIQEPPDAAwgNDcW5c+fw17/+FYGBgfjNb35jb/vkk09i/vz5CAgIgL+/P1544QVER0fXu7FKREREROSqXHok+rU8PT0RHR2NzMxMe530axMoVz8aysdHiYicKzc3F3/605/w2WefQaPRNNquuW+IqtVqeHt7OyxERHRzPvjgA5SVlSEuLg6hoaH2ZePGjQAAuVyOjIwM3H///ejRowdmzJiBHj16YP/+/fY5LQBg2bJlmDp1KqZPn44RI0bAw8MDW7Zs4ZwWREREROQ23CqJbjAYcPz4cYSGhiIyMhJ6vd7h0VCj0YjExET7o6F8fJSIyLnS0tJQUFCAwYMHQ6FQQKFQIDExEe+++y4UCoX9hiZviBIRuR4hRIPLzJkzAQBarRY//vgjCgoKYDQakZ2djTVr1tR78kej0WDFihUoKipCdXU1tmzZwqeDiIiIiMituHQ5lxdeeAGTJ09Gx44dUVBQgDfffBPl5eWYMWMGJElCfHw83nrrLXTv3h3du3fHW2+9BQ8PDzzyyCMA+Pjo7bhw4QKKi4tv6b3+/v7o0KFDM0dERO5ozJgxyMjIcFj3+9//Hr169cKLL76ILl262G+IDhw4EMCvN0TfeecdAI43RKdPnw7g1xuiixcvbt0DIiIiolZhMBhgMpma3F6pVLIcJ1Ebczt5CYC5CSJqXi6dRD9//jwefvhhFBYWIigoCMOHD0dycjI6deoEAFiwYAFqamowa9YslJSUYNiwYdi6dWu9x0cVCgWmT5+OmpoajBkzBmvWrOHjo9dx4cIF9OzZC1VVlbf0fk9PL5w8eYJfVkQEnU6HqKgoh3Wenp4ICAiwr+cN0fZp2vSHcbmopNHtQQF+2PTvz1sxIiIichUGgwEdO3VGwaWG5z5pSHCIHjnZ55hIJ2ojbjcvATA3QUTNy6WT6Bs2bLjudkmSkJCQgISEhEbb1D0+umLFimaOru0qLi5GVVUlZrzyLoLCO9/Uey+fP4e1bzyP4uJiflERUZPwhmj7dLmoBNP+591Gt296+/lWjIaIiFyJyWRCwaV8JGzYC7XW44btDTXVSHhoJEwmE5PoRG3E7eQlAOYmiKj5uXQSnZwrKLwzwiJ7OjsMImpjdu3a5fCaN0SJiIioIWqtB9RaT2eHQUROxLwEEbkKt5pYlIiIiIiIiIiIbsxsNuPll19GZGQktFotunTpgv/93/+F1Wq1txFCICEhAWFhYdBqtYiLi8PRo0cd9mMwGDB37lwEBgbC09MTU6ZMwfnz51v7cIiInIpJdCIiIiIiIiKiNuadd97Bhx9+iJUrV+L48eNYvHgx/v73vzs83bl48WIsXboUK1euREpKCvR6PcaNG4eKigp7m/j4eGzevBkbNmzA3r17UVlZiUmTJsFisTjjsIiInILlXIiIiIiIiIiI2pj9+/fj/vvvx3333QcA6Ny5Mz7//HOkpqYCsI1CX758ORYuXIhp06YBANauXYuQkBCsX78ezzzzDMrKyvDxxx/j008/xdixYwEA6/4/e3ceH1V973/8NVlmsu/LJCRAWBUCiIAIWEHZRBERW1q3C6231xbFUuHnLaXtjb0Krb2iLbben/1RoVLE21uxUjcWJUgRhQhC2JcEkpCN7JNlJpmc3x9DRiOEBMhksryfj8d5PDrnfM85n2P1mzOf+X4/33XrSE5OZuvWrUyfPt07Dyci0sE0El1EREREREREpJu55ZZb2LZtG8ePHwfgiy++YOfOndx5550AZGVlUVBQwLRp09znWCwWJk6cyK5duwDIyMigvr6+WZvExERSU1Pdbb7ObrdTWVnZbBMR6eo0El1EREREREREpJv593//dyoqKrjuuuvw9fXF6XTy7LPPcv/99wNQUFAAQHx8fLPz4uPjOXPmjLuN2WwmMjLyojZN53/dihUrePrpp9v7cUREvEoj0UVEREREREREupk33niDdevWsX79ej7//HPWrl3Lf/3Xf7F27dpm7UwmU7PPhmFctO/rLtdm6dKlVFRUuLecnJxrexARkU5AI9FFRERERERERLqZ//N//g8/+clP+M53vgPAsGHDOHPmDCtWrGDevHlYrVbANdo8ISHBfV5RUZF7dLrVasXhcFBWVtZsNHpRURHjx4+/5H0tFgsWi8VTjyUi4hUaiS4iIiIiIiIi0s3U1NTg49M87ePr60tjYyMAKSkpWK1WtmzZ4j7ucDhIT093J8hHjRqFv79/szb5+flkZma2mEQXEemONBJdRERERERERKSbufvuu3n22Wfp3bs3Q4cOZd++faxcuZLvfe97gKuMy6JFi1i+fDkDBw5k4MCBLF++nKCgIB544AEAwsPDeeSRR1i8eDHR0dFERUWxZMkShg0bxpQpU7z5eCIiHUpJdBERERERERGRbmbVqlX8/Oc/Z8GCBRQVFZGYmMijjz7KL37xC3ebp556itraWhYsWEBZWRljx45l8+bNhIaGutu88MIL+Pn5MXfuXGpra5k8eTJr1qzB19fXG48lIuIVSqKLiIiIiIiIiHQzoaGhvPjii7z44osttjGZTKSlpZGWltZim4CAAFatWsWqVavaP0gRkS5CNdFFRERERERERERERFqgJLqIiIiIiIiIiIiISAuURBcRERERERERERERaYGS6CIiIiIiIiIiIiIiLVASXURERERERERERESkBUqii4iIiIiIiIiIiIi0QEl0EREREREREREREZEWKIkuIiIiIiIiIiIiItICP28HICIiIiIiIl2H3W6nvr7+is7x9/fHYrF4KCIRERERz1ISXURERERERNrEbrfTu09figoLrui8uHgrZ89kK5EuIiIiXZKS6CIiIiIiItIm9fX1FBUWkLZhJ5bAoDadY6+tIe07t1BfX68kuoiIiHRJqokuIiIe8/LLLzN8+HDCwsIICwtj3LhxvPfee+7j8+fPx2QyNdtuvvnmZtew2+0sXLiQmJgYgoODmTVrFrm5uR39KCIiIvIVlsAgLIHBbdzalmwXERER6ayURBcREY9JSkriV7/6FXv37mXv3r3cfvvt3HPPPRw6dMjd5o477iA/P9+9vfvuu82usWjRIjZu3MiGDRvYuXMnNpuNmTNn4nQ6O/pxRERERERERKQHUjkXERHxmLvvvrvZ52effZaXX36Z3bt3M3ToUAAsFgtWq/WS51dUVLB69Wpee+01pkyZAsC6detITk5m69atTJ8+/ZLn2e127Ha7+3NlZWV7PI6IiIiIiIiI9EAaiS4iIh3C6XSyYcMGqqurGTdunHv/9u3biYuLY9CgQXz/+9+nqKjIfSwjI4P6+nqmTZvm3peYmEhqaiq7du1q8V4rVqwgPDzcvSUnJ3vmoURERERERESk21MSXUREPOrgwYOEhIRgsVj4wQ9+wMaNGxkyZAgAM2bM4C9/+Qsffvghzz//PHv27OH22293jyIvKCjAbDYTGRnZ7Jrx8fEUFBS0eM+lS5dSUVHh3nJycjz3gCIiIiIiIiLSramci4iIeNTgwYPZv38/5eXl/O1vf2PevHmkp6czZMgQvv3tb7vbpaamMnr0aPr06cM777zDnDlzWrymYRiYTKYWj1ssFiwWS7s+h4iIiIiIiIj0TBqJLiIiHmU2mxkwYACjR49mxYoVjBgxgt/+9reXbJuQkECfPn04ceIEAFarFYfDQVlZWbN2RUVFxMfHezx2EREREREREREl0UVEpEMZhtFs0c+vKikpIScnh4SEBABGjRqFv78/W7ZscbfJz88nMzOT8ePHd0i8IiIiIiIiItKzqZyLiIh4zE9/+lNmzJhBcnIyVVVVbNiwge3bt/P+++9js9lIS0vjvvvuIyEhgezsbH76058SExPDvffeC0B4eDiPPPIIixcvJjo6mqioKJYsWcKwYcOYMmWKl59ORERERERERHoCJdFFRMRjCgsLefjhh8nPzyc8PJzhw4fz/vvvM3XqVGprazl48CB//vOfKS8vJyEhgdtuu4033niD0NBQ9zVeeOEF/Pz8mDt3LrW1tUyePJk1a9bg6+vrxScTb5sz936KS8oueSw2OpI3/+f1Do5IREREREREuisl0UVExGNWr17d4rHAwEA++OCDVq8REBDAqlWrWLVqVXuGJtfockls8Hwiu7ikjDk/+d0lj735qyc8dl8RERGRrqJv376cOXPmov0LFizg97//PYZh8PTTT/PKK69QVlbG2LFj+f3vf8/QoUPdbe12O0uWLOH11193D2j5wx/+QFJSUkc+ioiI1ymJLiIiIlfscklsUCJbRERExNv27NmD0+l0f87MzGTq1Kl861vfAuC5555j5cqVrFmzhkGDBvHMM88wdepUjh075p4ZumjRIjZt2sSGDRuIjo5m8eLFzJw5k4yMDM0MFZEeRUl0EREREREREZFuJjY2ttnnX/3qV/Tv35+JEydiGAYvvvgiy5YtY86cOQCsXbuW+Ph41q9fz6OPPkpFRQWrV6/mtddec69HtG7dOpKTk9m6dSvTp0+/5H3tdjt2u939ubKy0kNPKCLScXy8HYCIiIiIiIiIiHiOw+Fg3bp1fO9738NkMpGVlUVBQQHTpk1zt7FYLEycOJFdu3YBkJGRQX19fbM2iYmJpKamuttcyooVKwgPD3dvycnJnnswEZEOoiS6iIiIiIiIiEg39tZbb1FeXs78+fMBKCgoACA+Pr5Zu/j4ePexgoICzGYzkZGRLba5lKVLl1JRUeHecnJy2vFJRES8Q+VcRERERERERES6sdWrVzNjxgwSExOb7TeZTM0+G4Zx0b6va62NxWLBYrFcfbAiIp2QRqKLiIiIiMhFVqxYwZgxYwgNDSUuLo7Zs2dz7NixZm0MwyAtLY3ExEQCAwOZNGkShw4datbGbrezcOFCYmJiCA4OZtasWeTm5nbko4iI9Ghnzpxh69at/Ou//qt7n9VqBbhoRHlRUZF7dLrVasXhcFBWVtZiGxGRnkJJdBERERERuUh6ejqPPfYYu3fvZsuWLTQ0NDBt2jSqq6vdbZ577jlWrlzJSy+9xJ49e7BarUydOpWqqip3m0WLFrFx40Y2bNjAzp07sdlszJw5E6fT6Y3HEhHpcV599VXi4uK466673PtSUlKwWq1s2bLFvc/hcJCens748eMBGDVqFP7+/s3a5Ofnk5mZ6W4jItJTqJyLiIiIiIhc5P3332/2uSkJk5GRwa233ophGLz44ossW7aMOXPmALB27Vri4+NZv349jz76KBUVFaxevZrXXnuNKVOmALBu3TqSk5PZunUr06dP7/Dnks6hsdFgf245n5wqIbesFrOviT7RwUwaHEtcoLejE+k+GhsbefXVV5k3bx5+fl+mgEwmE4sWLWL58uUMHDiQgQMHsnz5coKCgnjggQcACA8P55FHHmHx4sVER0cTFRXFkiVLGDZsmLtPFxHpKbrUSPQVK1a4O/ommkIqIiIiIuJ5FRUVAERFRQGQlZVFQUEB06ZNc7exWCxMnDiRXbt2AZCRkUF9fX2zNomJiaSmprrbXIrdbqeysrLZJt2DYRi8ezCfqS+kM+cPu/jNB8d4/bOzrP3kDL/8x2Fufz6dx944iF90krdDFekWtm7dytmzZ/ne97530bGnnnqKRYsWsWDBAkaPHk1eXh6bN28mNDTU3eaFF15g9uzZzJ07lwkTJhAUFMSmTZvw9fXtyMcQEfG6LpNE37NnD6+88grDhw9vtl9TSEVEREREPMswDJ588kluueUWUlNTgS/r6H69Lm58fLz7WEFBAWazmcjIyBbbXMqKFSsIDw93b8nJye35OOIlFbX1/HDd5yz4y+ecKq4mxOLHXcMS+NHkgTx2W39uGRCDjwnST5SSMO9FjhbWeDtkkS5v2rRpGIbBoEGDLjpmMplIS0sjPz+furo60tPT3X18k4CAAFatWkVJSQk1NTVs2rRJfbKI9EhdopyLzWbjwQcf5I9//CPPPPOMe78np5Da7Xbsdrv7s0a/iIiIiEhP9fjjj3PgwAF27tx50TGTydTss2EYF+37utbaLF26lCeffNL9ubKyUkmbLs43NIZ5f97PyeIa/HxMLJjUn+/f2o/QAP9m7U4X2/jZxgPsOl3G9lPl1OPL6L5RXopaRERExKVLjER/7LHHuOuuuy6queXJKaQa/SIiIiIiAgsXLuTtt9/mo48+IinpyxIbVqsV4KIR5UVFRe7R6VarFYfDQVlZWYttLsVisRAWFtZsk66rxuEk/v4VnCyuIT7MwsYFE3hy2uCLEugA/WJD+O/7h1GxawMA/zxVwhe55R0csYiIiEhznT6JvmHDBjIyMlixYsVFxzw5hXTp0qVUVFS4t5ycnGt9FBERERGRLsMwDB5//HHefPNNPvzwQ1JSUpodT0lJwWq1smXLFvc+h8NBeno648ePB2DUqFH4+/s3a5Ofn09mZqa7jXRvjoZG3jlcgn9kAkkRAby5YALDksIve46PyUT5x+sYneyqy5x+vJizpSrtIiIiIt7Tqcu55OTk8KMf/YjNmzcTEBDQYjtPTCG1WCxYLJYrC1hEREREpJt47LHHWL9+PX//+98JDQ11D0AJDw8nMDAQk8nEokWLWL58OQMHDmTgwIEsX76coKAgHnjgAXfbRx55hMWLFxMdHU1UVBRLlixh2LBhF80yle7HMAy2HS2kpKYBp62MVxZMp1dEYJvPH5UUQnU9HCmo4oNDBTw0tg+BZi1mKCIiIh2vU49Ez8jIoKioiFGjRuHn54efnx/p6en87ne/w8/Pzz0C3RNTSEVEREREerKXX36ZiooKJk2aREJCgnt744033G2eeuopFi1axIIFCxg9ejR5eXls3ryZ0NBQd5sXXniB2bNnM3fuXCZMmEBQUBCbNm3C11fJ0O7u0LlKjhfa8DFB8Vsr6B3V9gQ6uAZL3X5dHFHBZmocTrYdLfRQpCIiIiKX16mT6JMnT+bgwYPs37/fvY0ePZoHH3yQ/fv3069fP00hFRERERHxAMMwLrnNnz/f3cZkMpGWlkZ+fj51dXWkp6eTmpra7DoBAQGsWrWKkpISampq2LRpk9Yb6gEqa+vZcaIYgJt6h2HPO3xV1/Hz9WH60Hh8THCquJrTxbb2DFNERESkTTp1OZfQ0NCLXsKDg4OJjo5279cUUhERERERkc7DMAw+PFpEvdMgMTyA4YnBvNH6aS2KCw1gZO9IMs6UkX68mN5RQfj5durxYCIiItLNdOokels89dRT1NbWsmDBAsrKyhg7duwlp5D6+fkxd+5camtrmTx5MmvWrNEUUhERERERkXZ2+nw1Z0pr8DWZmDIkHh9T/TVf86a+URwrqKKyroH9OeWM7hvVDpGKiIiItE2XS6Jv37692eemKaRpaWktntM0hXTVqlWeDU5ERERERKQHa2hsZMdxVxmXG/tEEBlkxl577Ul0s58P4/tHs/lwIXvPlJHaK5wAfw2KEhERkY6hOXAiIiIiIiLSLg7mVlBZ10CwxZcx7TxafLA1lOgQM/aGRj4/W9au1xYRERG5HCXRRURERERE5Jo5GhrZk+1Kbo9Nica/neuW+5hMjOsXDcAXuRXYG5zten0RERGRliiJLiIiIiIiItfsYF4FtfVOwgP9GZIQ5pF79IsJJirIjKOhkcy8So/cQ0REROTrlEQXERGPefnllxk+fDhhYWGEhYUxbtw43nvvPfdxwzBIS0sjMTGRwMBAJk2axKFDh5pdw263s3DhQmJiYggODmbWrFnk5uZ29KOIiIjIZTgbDfbnlAMwpm8kvj4mj9zHZDIxqk8kAPvOltHQ2OiR+4iIiIh8lZLoIiLiMUlJSfzqV79i79697N27l9tvv5177rnHnSh/7rnnWLlyJS+99BJ79uzBarUydepUqqqq3NdYtGgRGzduZMOGDezcuRObzcbMmTNxOjWFW0REpLM4XliFzd5AkNmXwdZQj95rsDWUEIsf1Q4nR/OrWj9BRERE5BopiS4iIh5z9913c+eddzJo0CAGDRrEs88+S0hICLt378YwDF588UWWLVvGnDlzSE1NZe3atdTU1LB+/XoAKioqWL16Nc8//zxTpkxh5MiRrFu3joMHD7J169YW72u326msrGy2iYiIiGcYhuFe6POG5Aj8fDz7NdPXx8TI3hEAZJwpo9EwPHo/ERERESXRRUSkQzidTjZs2EB1dTXjxo0jKyuLgoICpk2b5m5jsViYOHEiu3btAiAjI4P6+vpmbRITE0lNTXW3uZQVK1YQHh7u3pKTkz33YCIiIj3c2dIaztsc+PuaGNYrvEPumZoYjsXPh/LaenLK7B1yTxEREem5lEQXERGPOnjwICEhIVgsFn7wgx+wceNGhgwZQkFBAQDx8fHN2sfHx7uPFRQUYDabiYyMbLHNpSxdupSKigr3lpOT085PJSIiIk0+P1sOwNDEcAL8fTvknmY/H4YmuhYvzSyo7pB7ioiISM/l5+0ARESkexs8eDD79++nvLycv/3tb8ybN4/09HT3cZOp+cJjhmFctO/rWmtjsViwWCzXFriIiIi0qrzGwdnSGkzAyOSIDr33sF7hfH62nJxyO34R1g69t4iIiPQsGokuIiIeZTabGTBgAKNHj2bFihWMGDGC3/72t1itri+7Xx9RXlRU5B6dbrVacTgclJWVtdhGREREvOfQOde6I72jgwgL9O/Qe0cEmekTFQRAyA0zOvTeIiIi0rMoiS4iIh3KMAzsdjspKSlYrVa2bNniPuZwOEhPT2f8+PEAjBo1Cn9//2Zt8vPzyczMdLcRERER72hsNDic70qipyZ2TC30rxue5LpvyPCp1NU7vRKDiIiIdH9KoouIiMf89Kc/5eOPPyY7O5uDBw+ybNkytm/fzoMPPojJZGLRokUsX76cjRs3kpmZyfz58wkKCuKBBx4AIDw8nEceeYTFixezbds29u3bx0MPPcSwYcOYMmWKl59ORESkZ8suqabG4STQ35eUmGCvxNA3JpgQsy++gWF8cKTYKzGIdGZ5eXk89NBDREdHExQUxA033EBGRob7uGEYpKWlkZiYSGBgIJMmTeLQoUPNrmG321m4cCExMTEEBwcza9YscnNzO/pRRES8Skl0ERHxmMLCQh5++GEGDx7M5MmT+fTTT3n//feZOnUqAE899RSLFi1iwYIFjB49mry8PDZv3kxoaKj7Gi+88AKzZ89m7ty5TJgwgaCgIDZt2oSvb8csXCYiIiKX1lTK5fqEUHx9Lr+eiaf4mEwMsbpKuvxPxjmvxCDSWZWVlTFhwgT8/f157733OHz4MM8//zwRERHuNs899xwrV67kpZdeYs+ePVitVqZOnUpVVZW7zaJFi9i4cSMbNmxg586d2Gw2Zs6cidOp2R8i0nNoYVEREfGY1atXX/a4yWQiLS2NtLS0FtsEBASwatUqVq1a1c7RiYiIyNWqdjjJKqkGYKiXSrk0uS4uiE+zyvgir4qjBZVcZw3zajwincWvf/1rkpOTefXVV937+vbt6/7fhmHw4osvsmzZMubMmQPA2rVriY+PZ/369Tz66KNUVFSwevVqXnvtNfdM0HXr1pGcnMzWrVuZPn16hz6TiIi3aCS6iIiIiIiIXJHjRTUYBiSEBxAVbPZqLEFmX2pOfgrAhs9yvBqLSGfy9ttvM3r0aL71rW8RFxfHyJEj+eMf/+g+npWVRUFBAdOmTXPvs1gsTJw4kV27dgGQkZFBfX19szaJiYmkpqa623yd3W6nsrKy2SYi0tUpiS4iIiIiIiJX5MT5WgCGJHSOUd+2Lz4A4M3Pc7XAqMgFp0+f5uWXX2bgwIF88MEH/OAHP+CJJ57gz3/+MwAFBQUAxMfHNzsvPj7efaygoACz2UxkZGSLbb5uxYoVhIeHu7fk5OT2fjQRkQ6nJLqIiIiIiIi0mX9Mb0prGvAxwYC4EG+HA0Bd1j4Swy1U1jXw7sF8b4cj0ik0NjZy4403snz5ckaOHMmjjz7K97//fV5++eVm7Uym5msaGIZx0b6vu1ybpUuXUlFR4d5ycjRDRES6PiXRRUREREREpM2Cr78VgD7RwQT4d5aFvg3uuyEBgNc/O+vlWEQ6h4SEBIYMGdJs3/XXX8/Zs67/RqxWK8BFI8qLiorco9OtVisOh4OysrIW23ydxWIhLCys2SYi0tUpiS4iIiIiIiJtYhgGQReS6IPjQ70cTXOzR1jx9TGxJ7uME4VV3g5HxOsmTJjAsWPHmu07fvw4ffr0ASAlJQWr1cqWLVvcxx0OB+np6YwfPx6AUaNG4e/v36xNfn4+mZmZ7jYiIj2Bn7cDEBERkc5nztz7KS4pa/H40ePHOzAaERHpLDLzq/CPTMTPx0S/2GBvh9NMfJiF26+LY8vhQjbsyeHnM4e0fpJIN/bjH/+Y8ePHs3z5cubOnctnn33GK6+8wiuvvAK4yrgsWrSI5cuXM3DgQAYOHMjy5csJCgrigQceACA8PJxHHnmExYsXEx0dTVRUFEuWLGHYsGFMmTLFm48nItKhlEQXERGRixSXlDHnJ79r8fjT/6IvTSIiPdF7h4oA6BsVgL9v55vYfP9NyWw5XMjfPs/l/0wf3InKzYh0vDFjxrBx40aWLl3KL3/5S1JSUnjxxRd58MEH3W2eeuopamtrWbBgAWVlZYwdO5bNmzcTGvrlTJMXXngBPz8/5s6dS21tLZMnT2bNmjX4+uq/LxHpOZREFxERERERkVY1Nhq8f7gYgAExgV6O5tImDoojITyA/Io6PjhUwD039PJ2SCJeNXPmTGbOnNnicZPJRFpaGmlpaS22CQgIYNWqVaxatcoDEYqIdA2db+iAiIiIiIiIdBi73Y7NZmt123n0HEVVDhrrbCRHWLwd9iX5+pj49phkANZ/qgVGRUREpH0oiS4iIiIiItJD2e12evfpS2hoaKvb7Mf/A4Cak5+B4fRy5C2bOzoZHxN8mlXK6WKbt8MRERGRbkDlXERERERERHqo+vp6igoLSNuwE0tgUIvtDMPg9c+LqLQ7qTnxCU7ntzswyiuTGBHIpMFxfHi0iA17cvjpndd7OyQRERHp4pREFxERERER6eEsgUFYAoNbPF5cZafS7sTXBHVZn3dgZG1ns3056vze4bF8eLSIv+7N4Qfje2H2u3gStr+/PxZL5yxLIyIiIp2LkugiIiIiIiJyWaculEVJDPPjdL3dy9E011DvAJMPCQkJX+40+dDrh69SRjTJ4+6i5ujOi86Li7dy9ky2EukiIiLSKiXRRURERERE5LJOF1cD0Cfcn4vT0d7lbGgAo5Flr31ESFi4e/9nZyv5PNfGDf/yC+4eGtPsHHttDWnfuYX6+nol0UVERKRVSqKLiIiIiIhIiypq6ym22TEByeH+3g6nReaA5iVpRvQ283mujbwKB7WGPxFBZi9GJyIiIl3ZxYXhRERERERERC5oKuXSKyKQgEvUFu+swgL96RPlWiz10LlKL0cjIiIiXVnXeQMSERERERGRDteURO8fF+LlSK5cai9XeZdD5ypxNhpejkZERES6KiXRRURERERE5JJqHA3kl9cB0C8muJXWnU9KTDBBZl9q652cPm/zdjgiIiLSRakmunQqeXl5lJaWXtW5UVFR9OrVq50jEhERERHpuU6fr8YA4kIthAX6U1nr7YiujK+PiSEJYew9U8aBnAoGxoV6OyQRERHpgpREl04jLy+PwYOvo7r66kaIBAeHcOzYUSXSRURERETayamiC6VcYrteKZcmw5PC+fxsGbnltRRV1hEXFuDtkERERKSLURJdOo3S0lKqq23M+/nviE3qe0XnFudms/Y/n6C0tFRJdBERERGRduBoaCSnzDX0vF9s1yvl0iQ0wJ+BcaEcK6zi87Pl3JFq9XZIIiIi0sWoJrp0OrFJfUlMGXxF25Um3UWkY6xYsYIxY8YQGhpKXFwcs2fP5tixY83azJ8/H5PJ1Gy7+eabm7Wx2+0sXLiQmJgYgoODmTVrFrm5uR35KCIiIj3OmZJqnI0G4YH+RAebvR3ONbmxdwQAx4uqqKqr924wIiIi0uUoiS4iIh6Tnp7OY489xu7du9myZQsNDQ1MmzaN6urqZu3uuOMO8vPz3du7777b7PiiRYvYuHEjGzZsYOfOndhsNmbOnInT6ezIxxEREelRThY3lXIJxmQyeTmaaxMXFkBSRCCGAftzyr0djoiIiHQxKuciIiIe8/777zf7/OqrrxIXF0dGRga33nqre7/FYsFqvfTU6oqKClavXs1rr73GlClTAFi3bh3Jycls3bqV6dOne+4BREREeihno0H2+Rqga9dD/6ob+0SSW15LZl4lN1hVF11ERETaTkl0ERHpMBUVFQBERUU12799+3bi4uKIiIhg4sSJPPvss8TFxQGQkZFBfX0906ZNc7dPTEwkNTWVXbt2XTKJbrfbsdvt7s+VlZWeeBwREZFuK7esBoezkSCzLwnh3SPh3Dc6iKggM6U1Dg4WVLd+Qhdgt9upr7+y8jT+/v5YLBYPRSQiItI9KYkuIiIdwjAMnnzySW655RZSU1Pd+2fMmMG3vvUt+vTpQ1ZWFj//+c+5/fbbycjIwGKxUFBQgNlsJjIystn14uPjKSgouOS9VqxYwdNPP+3R5xEREenOmkq59Ivp+qVcmphMJsakRPLBoUIOnLNhMgd6O6RrYrfb6d2nL0WFl34faklcvJWzZ7KVSBcREbkCSqKLiEiHePzxxzlw4AA7d+5stv/b3/62+3+npqYyevRo+vTpwzvvvMOcOXNavJ5hGC1+qV+6dClPPvmk+3NlZSXJycnX+AQiIj3Pjh07+M1vfkNGRgb5+fls3LiR2bNnu4/Pnz+ftWvXNjtn7Nix7N692/3ZbrezZMkSXn/9dWpra5k8eTJ/+MMfSEpK6qjHkCtkGAani10jtfvHdY9SLk0GxYeyJ6uM0hoHYaNmeTuca1JfX09RYQFpG3ZiCQxq0zn22hrSvnML9fX1SqKLiIhcgU69sOjLL7/M8OHDCQsLIywsjHHjxvHee++5jxuGQVpaGomJiQQGBjJp0iQOHTrU7Bp2u52FCxcSExNDcHAws2bNIjc3t6MfpUfxi0zkvRNVvPZJNgdzKzAMw9shiYiXLVy4kLfffpuPPvqo1aRJQkICffr04cSJEwBYrVYcDgdlZWXN2hUVFREfH3/Ja1gsFvffjqZNRESuXHV1NSNGjOCll15qsY0Wh+5+CirrqHE4Mfv6kBTZtUdrf52PycRNKa6ycqE33UtVXYOXI7p2lsAgLIHBbdzalmwXERGR5jp1Ej0pKYlf/epX7N27l71793L77bdzzz33uBPlzz33HCtXruSll15iz549WK1Wpk6dSlVVlfsaemnvOHX1TnYVmOj1b6/wh8/K+PnfD3H3SzuZ/ft/cqKwqvULiEi3YxgGjz/+OG+++SYffvghKSkprZ5TUlJCTk4OCQkJAIwaNQp/f3+2bNnibpOfn09mZibjx4/3WOwiIuIqufXMM89cdmZQ0+LQTdtX171oWhz6+eefZ8qUKYwcOZJ169Zx8OBBtm7d2uI17XY7lZWVzTbpOKeKXKPQ+8YE4efTqb8yXpWB8SFEBvrhGxDCus80wEpERERa16nfiO6++27uvPNOBg0axKBBg3j22WcJCQlh9+7dGIbBiy++yLJly5gzZw6pqamsXbuWmpoa1q9fD1z9S7tcOVtdAxv25JBXY8JodDI83sKkwbGY/Xz4IreCmat28tHRIm+HKSId7LHHHmPdunWsX7+e0NBQCgoKKCgooLa2FgCbzcaSJUv45JNPyM7OZvv27dx9993ExMRw7733AhAeHs4jjzzC4sWL2bZtG/v27eOhhx5i2LBhTJkyxZuPJyIifLk49KBBg/j+979PUdGX73ytLQ7dkhUrVhAeHu7eVJKr4xiG4a6H3j+2e5VyaeJjMjEqORSANbtzKa6yt3KGSNeUlpaGyWRqtlmtVvdxze4XEWm7Tp1E/yqn08mGDRuorq5m3LhxZGVlUVBQ0OyF3GKxMHHiRPcL+dW+tINGv1yJemcjbx84R0VtPUF+Bvlrf8yzU+JZ892b2PnUbXxjYAz2hkYeXZfBP0+e93a4ItKBXn75ZSoqKpg0aRIJCQnu7Y033gDA19eXgwcPcs899zBo0CDmzZvHoEGD+OSTTwgNDXVf54UXXmD27NnMnTuXCRMmEBQUxKZNm/D19fXWo4mICK6R6n/5y1/48MMPef7559mzZw+33347drsrKXk1i0ODa22LiooK95aTk+PR55Avnbc5qKitx9fHRN/oYG+H4zH9owOw5x+n2uFk5ZZj3g5HxGOGDh3arOTWwYMH3cc0u19EpO06/cKiBw8eZNy4cdTV1RESEsLGjRsZMmSIOwn+9Xq48fHxnDlzBrj6l3ZwjX55+umn2/FJuq8dx4sprrIT6O/LJGs9R4pOu4/FhQXwp/ljeHz953xwqJDH1n/OPxbeQlKkavGJ9AStrYkQGBjIBx980Op1AgICWLVqFatWrWqv0EREpB14YnFocA2O0aKH3nHqwij0PlFBmP26zJirK2YymSjb9v+wPvQcb+zJ4V/G9eX6BK2hIt2Pn59fs9HnTb4+ux9g7dq1xMfHs379eh599FH37P7XXnvNPQN03bp1JCcns3XrVqZPn37Je9rtdvePqYAGJYpIt9Dp34oGDx7M/v372b17Nz/84Q+ZN28ehw8fdh//+st3ay/kbW2j0S9tk1deS+Y51x/EGalWgv0vbuPv68Pv7h/JiKRwymvqeWz9PhqcjR0cqYiIiIh4WnssDi3e5S7lEtc9S7l8lT3vMNOvj6XRgGfeOdzqj/8iXdGJEydITEwkJSWF73znO5w+7Rr05snZ/SrJJSLdUadPopvNZgYMGMDo0aNZsWIFI0aM4Le//a37l9Svjyj/6gv5tby0WywWwsLCmm3SnGEYbD/mqnk5NDGM5KiWR5db/Hz5/YM3Ehbgxxc55fzpn1kdFaaIiIiIdBAtDt21ldU4KLE58DFBv5juW8rlq358ewpmXx/+ebKEzYcLvR2OSLsaO3Ysf/7zn/nggw/44x//SEFBAePHj6ekpMSdS7nU7P6mYyrJJSLypU6fRP86wzCw2+2kpKRgtVqbvZA7HA7S09PdL+R6afesk0U2ztscmH19mDAgptX2SZFB/OyuIQCs3HKcnNIaT4coIiIiItfAZrOxf/9+9u/fD7hGLu7fv5+zZ89qcehu6FSRaxR6UmQQAf49Y92RpMhA/vUbKQCkvX0Im73ByxGJtJ8ZM2Zw3333ufvcd955B3CVbWniidn9GpQoIt1Rp06i//SnP+Xjjz8mOzubgwcPsmzZMrZv386DDz6IyWRi0aJFLF++nI0bN5KZmcn8+fMJCgrigQceAPTS7kmGYfBpVikAI3tHENjGl+xvjU5ifP9o6uobWfHeEU+GKCIiXUBeeS3vHsznr3tz+CK3XFPpRTqZvXv3MnLkSEaOHAnAk08+yciRI/nFL36hxaG7IXcpl9ieMQq9ycLbB9I7Koj8ijr+6wMtMirdV3BwMMOGDePEiRMen90vItLdeCyJ3q9fP0pKSi7aX15eTr9+/dp0jcLCQh5++GEGDx7M5MmT+fTTT3n//feZOnUqAE899RSLFi1iwYIFjB49mry8PDZv3qyX9g6QXVJDSbUDs58PI5Mj2nyeyWTiP+4eio8J3j1YwKenL/53RES8rz36cJHWnCmpZuO+PE4U2ThXUcf2Y8W8f6hAiXSRdtBe/fikSZMwDOOibc2aNe7FoYuKinA4HJw5c4Y1a9ZcVPu2aXHokpISampq2LRpk+rjdkI2u5PCStdCgP1ju3899K8KNPvy7L2pAKz9JJv9OeXeDUh6PE+9i9vtdo4cOUJCQoJm94uIXCE/T104Ozsbp9N50X673U5eXl6brrF69erLHjeZTKSlpZGWltZim6aX9lWrVrXpntI2X+SWA5CaGIblCqd6DraG8p2berP+07P81+Zj/M+j41qdLiYiHas9+nCRy2nwD+adg/k4Gw1SYoKxhgXwaVYJxwtt9Iqo8HZ4Il2e+nG5UlmltQAkhgcQbPHM10Sbzdau7drTNwbGMmdkL97cl8dP/naAtx+/BbNfp564Ld1Ye/XhS5Ys4e6776Z3794UFRXxzDPPUFlZybx585rN7h84cCADBw5k+fLlLc7uj46OJioqiiVLlmh2v4j0SO3+dvT222+7//cHH3xAeHi4+7PT6WTbtm307du3vW8rHaisxsGZElc98+FJEVd1jR9NHsj/ZuSyJ7uMXadK2lRTXUQ8T324dJSKXjdT7zRICA/grmEJ+PqY8Pc1sePEeT4+cZ5Yc2jrFxGRi6gfl6t1uqQOgP5x7T8KvaHeASYf94KzbeV0dmx98p/NHML248UcLajixa3HeeqO6zr0/iLt3Yfn5uZy//33c/78eWJjY7n55pvZvXs3ffr0AVyz+2tra1mwYAFlZWWMHTv2krP7/fz8mDt3LrW1tUyePJk1a9Zodr+I9DjtnkSfPXs24BolPm/evGbH/P396du3L88//3x731Y6UGaea4Rg3+ggwgP9r+oa8WEB3D8mmbWfnOG3W08wvn90e4YoIldJfbh0hEPnKqiJuR6AWwfG4uvjmo10Q3IEJ4ttnCuvozLxJm+GKNJlqR+Xq+ETFE5BpQOAAR4o5eJsaACjkWWvfURIWHir7SvLzrNi/jSczo4t7xUVbGb5van8YN3n/Hf6KW67Lo4xfaM6NAbp2dq7D9+wYcNlj2t2v4hI27V7Er2xsRGAlJQU9uzZQ0yMRhh3J42NBkcLqgBI7dX6C/Dl/HDSAF7/LIfPskv55HQJGnMo4n3qw8XTDMPg2XeOgMnEoPgQrOEB7mMmk4lvDIjljb05VMdcx8kiGwM8MCJSpDtTPy5XI2jgzRhAXKiFsKscJNMW5oAgLIGtL1pqqa3xWAytuSM1gW+OSuJ/M3J58n/2896PbiXEQ+VtRL5OfbiISOflsSJvWVlZ6vC7obNlNdQ4nAT4+9A3uvUX4MuxhgfwnZtci0r9duuJ9ghPRNqJ+nDxlI+OFbHrVAk0OpnQ/+J/x6zhAfSLCQaTDy9sOe6FCEW6B/XjciWCrrsF8Ewpl67oP+4eQq+IQHJKa/mPvx/ydjjSA6kPFxHpfDz6k/q2bdvYtm0bRUVF7l9Um/zpT3/y5K3FQ47kVwIwOD7UPf3+WvxwUn82fJbDp1mlHB7guVEvInLl1IdLe2twNrL83aMAhBbuJyzw0rVmx/WP5nSxjXcO5vPDvIprnvkk0lOpH5e2KK6yE9B7OOB6xxcIDfBn5dwR3P/H3fzt81xu7hfFt0Ynezss6WHUh4uIdC4eG4n+9NNPM23aNLZt28b58+cpKytrtknX0+BsJOt8NQCDre3zgp0QHsicG3sB8NbRyna5pohcO/Xh4gkb9uRwsshGZJA/Yfl7W2wXE2IhqPQYAP+1+VhHhSfSragfl7Z6/0gxJh9f4kP8r3q9o+5obL9onpw6CICf/z2TYxdKWl4pu92OzWZr82a329vzMaSLUh8uItL5eGwk+n//93+zZs0aHn74YU/dQjpYTlkt9U6DYIsv1rCA1k9oo+/dksKGPTnszqnFL8LabtcVkaunPlzaW1m1w12e5UeTB7I63XHZ9mF5n+GIvZ7tx4r5LKuUm1K0sJvIlVA/Lm313qEiAAbEBno5ks5nwaQBfJpVyscnzvPDv2Tw9uO3XFF9dLvdTu8+fSkqLGjzOXHxVs6eycZisVxNyNJNqA8XEel8PJZEdzgcjB8/3lOXFy84VWwDoH9MCCbTtZdyaTIoPpSJg2JJP15M6KhZ7XZdEbl66sOlvf3nO4cpqXYwKD6EB2/uw+pW2vvbK5g7Jpn1n57lNx8c5X8eHdeuf3tEujv149IWZ0qqOZBXhdHopH+0kuhf5+Nj4sVv38Cdv/uY08XVLNqwn1ceHoVPG8ta1tfXU1RYQNqGnVgCg1ptb6+tIe07t1BfX68keg+nPlxEpPPxWDmXf/3Xf2X9+vWeurx0sEbD4HSxq5RLv9hrW1D0Uv71GykAhAyfisPZ7pcXkSukPlza0z8OnOPNz/MwmeBX9w3H37dtrx9P3D4Qs58Pe7LLSD9e7OEoRboX9ePSFm/vPwdA3ZkvCDL7ejmazik6xMJ/PzQKs58PW48UXlWZMUtgEJbA4DZsrSfapWdQHy4i0vl4bCR6XV0dr7zyClu3bmX48OH4+zevr7dy5UpP3Vo8IL+ijtp6JxY/H5Ii2//l7pYBMfSN8Ce7HE5XNdK33e8gIldCfXjXN2fu/RSXtFwzMzY6kjf/53WPx7E/p5wlf/0CgH+7tR839o5s87nW8ADmjevDHz/O4jcfHOPWgbFtHv0n0tOpH5fWGIbBW/vzAKg+vB2Y6dV4OrORvSP59X3D+PEbX/CH7acYFB/K7JG9vB2WdGPqw0VEOh+PJdEPHDjADTfcAEBmZmazY5qO3fU0lXJJiQnG1wMJDJPJxD3XhfLb3aWcrDAxqdFQokTEi9SHd33FJWXM+cnvWjz+5q+e8HgMn58tY97qz6irb+S2wbE8Nf26K77GDycNYP2nZzl0rpL3DxVw57AED0Qq0v2oH5fWHDpXyaniasy+JmqOf+LtcDq9e0cmcTivnD/uPMOSv35BgI+TW/pffr0Om83WQdFJd6M+XESk8/FYEv2jjz7y1KWlgxmGwamiC/XQY0M8dp9b+wazcttpaoMjOHXexsC4UI/dS0QuT324XCt7SCIP/79PqXY4ualvFKseuPGqfoSNCjbzr9/ox2+3neD5zceYNiQevzaWgxHpydSPS2ve2JMDwO2DYzjhqPVyNJ2f3W7nd9+fRuNNDxN8/a3825/3UPQ//4E991Cr5zqdDR0QoXQn6sNFRDofjyXRpfs4b3NQWdeAr4+JPtGeq9Nn9jVh++J9wsd/hy9yKpREFxHpooqr7BQPuhvD4WR8/2j+37zRBJmv/pXjX7+RwtpPsjlVXM3GfXl8a3RyO0YrItLz1Dqc7lIu992QwP/1cjxdQX19PUUF+fz8O3ez/UwdZ8uh9788x51DorGGmi95TmXZeVbMn4bTaVzVPWsdTo4UVJJTWkNuWS21DidmPx/iwywMtobRJ+zqf1S+klHy/v7+WuhURER6PI8l0W+77bbLTjP68MMPPXVraWfZJa4FRXtHBbV5MbirVbX/PSLGf5u88lqKq+zEhuplTcQb1IfL1apxNLDpwDkMXzPj+0fzp/ljCPC/tsXqQgP8WTCpP8vfPcpLH51kzo1J7RStSPelflwu573MfKrqGkiKDGRsSoS3w+lSgoKDufuGGN7af4688lo2HSph+pB4BsZfPADIUltzxdf3DY5k7e4cPsmu5LPsUhwNjS22DTb7EnP3EvIq7KQEBLWpzEdDvQNMPiQktL08Wly8lbNnspVI70Dqw0VEOh+PJdGb6nc1qa+vZ//+/WRmZjJv3jxP3VY84GyJ6+XPk6PQmzirSugVDLnV8EVuOVOuj/f4PUXkYurD5WqlHy+mqq4Bv7oyXn5w2jUn0Js8dHMffv/RKc6U1LDtSGG7XFOkO1M/Lpez4UIpl2+PTsZH9ZWvmJ+vD/fckMh7mQVkna/m3cwCJtTWM6pP5FXVq25sNMgureZgThm9FqzhN1tPu4/FhlpIiQkmOTKI0AA/6uqd5JXXkplXQVlNPcFDJrHpUAnWnGpuGRBDr8jAy97L2dAARiPLXvuIkLDwVmOz19aQ9p1bqK+vVxK9A6kPFxHpfDyWRH/hhRcuuT8tLU0LrHQh9c5GzlW4aiT2jvJ8Eh1gYLhBbrWJowVVTBgQQ2A7JWBEpO3Uh8vVOFtaw/FCGyYg+tQHhAc91G7XDjL7cf9Nvfnv9FOs3pnVbtcV6a7Uj0tLThfb+CyrFB8TfHN0EuD0dkhdkr+vDzOHJ7DjeDFf5Fbwz1Ml5JTVMmlwLJFBly7v8nVlNQ6O5FdyOL+Sarvr/weTjy83JIUx64Ykbh0US//Y4Esm5hsbDT45ns+sHy0nctSdFFTW8b+f5zI0MYxbB8Zi9rv8DGJzQBCWwOArf3DpEOrDRUQ6nw5fmeuhhx7iT3/6U0ffVq5SblktjQaEBfgREejfIfeMtkBsiAVno8GhcxUdck8RaZsr7cNXrFjBmDFjCA0NJS4ujtmzZ3Ps2LFmbQzDIC0tjcTERAIDA5k0aRKHDjVfpMtut7Nw4UJiYmIIDg5m1qxZ5ObmtsszSfswDIMdJ4oBGJ4UjrmmuN3vMW98H3x9THyaVUp9QES7X1+kJ9C7uLyx1zUKfdLgOBLCLz9qWS7Px2Ri0uA4bhsci5+PibOlNazbfYYthws5V15Lo9G8FnqjYVBcZWff2TLe2JPDnz85w57sMqrtTgL8fRieEEze//sB6+aP5Hu3pDAgLqTFke0+PiZGJIVRuvn33H9jHEMTwwA4dK6S1z87S4nN7vHnl46nPlxExHs6fGHRTz75hICAgI6+rVyls6WuUi69o9pWY689mEwwIjmcrUeKOJBbwY3Jkfj4aJqpSGdwpX14eno6jz32GGPGjKGhoYFly5Yxbdo0Dh8+THCwa/TTc889x8qVK1mzZg2DBg3imWeeYerUqRw7dozQUFd90UWLFrFp0yY2bNhAdHQ0ixcvZubMmWRkZODr231nq8yZez/FJWUtHo+NjuTN/3m9AyNq2enz1ZTYHJh9fbi5XzTveuAeCeGBTBgQw47jxdRGDvDAHUS6P72L92x19U7+utf1I/RcLdLcboYnRZAcFcSO48Vkl9Rw+MLocn8fsP7LSt47Vk6jqZKy6noczi9rnJuA5KgghiaG0S82GKe9lk0lVz5IINjsy5Tr47nOGsoHhwopr63nf/bmctfwhA6bTSwdQ324iIj3eCyJPmfOnGafDcMgPz+fvXv38vOf/9xTt5V29tUkekcaHB/KzpPnqapr4PT5agbEhXTo/UV6uvbqw99///1mn1999VXi4uLIyMjg1ltvxTAMXnzxRZYtW+a+59q1a4mPj2f9+vU8+uijVFRUsHr1al577TWmTJkCwLp160hOTmbr1q1Mnz79Gp/We1pLkh89fpyf/un9Fo+/+asnPBHWFTMMgz3ZpYBrFHp71UG/lDtTrew4XkxNZH+P3UOkO9C7uFzKxn15lFY76BURyJTr47wdTqfQ1tIYrbWLDDJzzw29yK+o5UBuBVnnq7E3NGJJGER+Vb27nb+viYTwQPpEBzE4PpRgy5dfya+1sE5SZBAP3NSbdw7mk1dey9tfnOPu4Qn0iVbZlq5GfbiISOfjsSR6eHjzRUp8fHwYPHgwv/zlL5k2bZqnbivtqLYBSqsdgGuEREfy8/UhNTGcvWfK+CK3XEl0kQ7mqT68osJVoikqKgqArKwsCgoKml3TYrEwceJEdu3axaOPPkpGRgb19fXN2iQmJpKamsquXbsumUS32+3Y7V9OY66srLzqmD2puKSMOT/5XYvHn/6XKR0YzdU7V15HYaUdPx8TI3tHePRe04ZaWfZWJvXBcZTXOIhoY91ZkZ5G7+LydYZhuNeU+O6Evvj5dnhlz06lod4BJh8SEhKu6Dyns+GyxxPCA0kID6Sx0eBsfiF/fPYpvrXkOcJCQwgN8Cc62OzRWbaBZl/uHdmLdw/mc/p8NZsO5CuR3gWpD7+8Epudz8+WU+NoICE8kBuSI1pdB0BE5Fp5LIn+6quveurS0kEKXeuJEh9m8eiowpYMSwon40wZuWW1nLfZiQnRavAiHcUTfbhhGDz55JPccsstpKamAlBQUABAfHx8s7bx8fGcOXPG3cZsNhMZGXlRm6bzv27FihU8/fTT7f0I0oIvcssBuM4aSpDZs5XiooLN3Nwvin+eLCHrfDUjeyuJLnIpeheXr0s/XszJIhshFj++PUalXJwNDWA0suy1jwgJC2+1fWXZeVbMn4bTabTaFlw1y6MCfak9+Sn9owMIDe+4QUG+PibuHJbQLJH+zRuTsIarDEhXoT68ZaeKbbxzMJ+mJQeyS2o4UVTFPSN6ERLQ4RWLRaQH8XgPk5GRwZEjRzCZTAwZMoSRI0d6+pbSTgprXSMk+kR5Z9RCWIA//WNDOFls44ucciZfH9/6SSLSrtqzD3/88cc5cOAAO3fuvOjY19dcMAyj1XUYLtdm6dKlPPnkk+7PlZWVJCcrYeAJtroGThW7prgPT4rokHtOGBDDP0+WkFdey8jeka2fINKD6V1cmjSNQv/2mGRCA/y9HE3nYQ4IwhLY+vcdS21NB0TTfpoS6f84cI7skhr+ceAc37mpt7fDkiukPry54io772cWYBjQJzqIvtHB7Mku5bzNwaYD55g7OhlfracmIh7isfkuRUVF3H777YwZM4YnnniCxx9/nFGjRjF58mSKi4s9dVtpR4UX3hO9uRjNiGTXqJCjBVXU1V9rlUARaav27sMXLlzI22+/zUcffURSUpJ7v9VqBbhoRHlRUZF7dLrVasXhcFBWVtZim6+zWCyEhYU128QzDuZV0GhAYngAsaEdM2NobIqrHNC58joMo20jAkV6Gr2Ly1cdK6ji4xPn8THB/PF9vR2OdBBfHxMzUhOIDjZT7XDyzoF8Ghr1d7Mr8FQfvmLFCkwmE4sWLXLvMwyDtLQ0EhMTCQwMZNKkSRw6dKjZeXa7nYULFxITE0NwcDCzZs0iN/fKF8G9FoZh8OHRIhoaDXpHBTFreCI3JEcwd3QyFj8fiqrs7L2wRo+IiCd4LIm+cOFCKisrOXToEKWlpZSVlZGZmUllZSVPPNE5FkKTlvnH9MbeaMLPx+TVaX+9IgKJDjHT0Ghw+FznrGks0h21Vx9uGAaPP/44b775Jh9++CEpKSnNjqekpGC1WtmyZYt7n8PhID09nfHjxwMwatQo/P39m7XJz88nMzPT3Ua8o6GxkYN5rjr3NyRHdNh9h/WKwNTYQG29k7Ka+tZPEOmB9C4uX7XqwxMA3JFq7fC1jsS7zH4+zByegMXPh4LKOj7NrfV2SNIGnujD9+zZwyuvvMLw4cOb7X/uuedYuXIlL730Env27MFqtTJ16lSqqqrcbRYtWsTGjRvZsGEDO3fuxGazMXPmTJzOjhvodvp8NQWVdfj5mJg2JN69tkB4oD+TBscC8Fl2KZV1ejcUEc/wWBL9/fff5+WXX+b666937xsyZAi///3vee+99zx1W2knluRhACREBHh1OpTJZOKGC+UBvsgtp1EjDkU6RHv14Y899hjr1q1j/fr1hIaGUlBQQEFBAbW1ri9wTSNhli9fzsaNG8nMzGT+/PkEBQXxwAMPAK6FlR555BEWL17Mtm3b2LdvHw899BDDhg1jypSusfBmd3Wi0EZtvZMQix/9Yjuu1qvZzwezLR+AvDIlA0QuRe/i0uRoQSXvHHT1mQtvH+jlaMQbIoLMzEh1zf47XuIgcMBNXo5IWtPefbjNZuPBBx/kj3/8Y7N1hgzD4MUXX2TZsmXMmTOH1NRU1q5dS01NDevXrwegoqKC1atX8/zzzzNlyhRGjhzJunXrOHjwIFu3br32h20DwzD45HQJACN7RxBsaV6ZeHB8KEmRgTQasDe77FKXEBG5Zh5Lojc2NuLvf3GtPX9/fxobGz11W2knAb1di/4lRXh/pMpgaygWPx8q6xrIPl/t7XBEeoT26sNffvllKioqmDRpEgkJCe7tjTfecLd56qmnWLRoEQsWLGD06NHk5eWxefNmQkND3W1eeOEFZs+ezdy5c5kwYQJBQUFs2rQJX9+OX/RYvrQ/pxxwLQTd0T+4WqrOAZBXriS6yKXoXVyavLjlBIYBdw1L4PoElTfrqfpEBzPqwjoi0dMXUtegfqAza+8+/LHHHuOuu+66aABKVlYWBQUFTJs2zb3PYrEwceJEdu3aBbjqstfX1zdrk5iYSGpqqrvN19ntdiorK5tt16Kgso4SmwM/H5P73+OvMplM7nJ/h89VUqXR6CLiAR5Lot9+++386Ec/4ty5c+59eXl5/PjHP2by5Mmeuq20A8MwCEh2JdF7RQZ6ORrw9/UhNdFVG31/brl3gxHpIdqrDzcM45Lb/Pnz3W1MJhNpaWnk5+dTV1dHeno6qampza4TEBDAqlWrKCkpoaamhk2bNmmhUC/zjU2hqMqOr4+J1MSOT8qYba46+kVVdR1+b5GuQO/iApCZV8H7hwowmWDRFI1C7+lu7hdFRIAPviGRfHLG5u1w5DLasw/fsGEDGRkZrFix4qJjTesSfX2dofj4ePexgoICzGZzsxHsX2/zdStWrCA8PNy9Xet7e2aeKwk/MD4Ei/+lB9EkRQbRKyIQp2G424uItCePJdFfeuklqqqq6Nu3L/3792fAgAGkpKRQVVXFqlWrPHVbaQe5lQ34BkfiYzKID+uYReJaMzwpHBOQU1pLic3u7XBEuj314dIay/W3Aa7ps0Fmv1Zatz9z7XkAymvqqXdqNJ3I16kfF4AXthwHYNaIRAbGh7bSWro7P18fvtEnCKPRSVaZnZNFSqR3Vu3Vh+fk5PCjH/2Iv/zlLwQEtLzWmcnUfEahYRgX7fu6y7VZunQpFRUV7i0nJ6fNMX9dfSOcKHLVZx96YXBdS4YnuY4fOuda+F5EpD157FtvcnIyn3/+OVu2bOHo0aMYhsGQIUNUv7YLyCx0jeqLtoCfj8d+Z7kiYYH+9IsN5lRxNV/kVnD7dXHeDkmkW1MfLpdTXuPAv8+NAIxIvvyXGU/xqa8h0N+X2nonJTaHVxfBFumM1I/LrlPn2Xa0CB8T/GiyRqGLS0yQH5W7/0r4+O+w40QxfaOD8PPtHN/55Evt1YdnZGRQVFTEqFGj3PucTic7duzgpZde4tixY4BrtHlCQoK7TVFRkXt0utVqxeFwUFZW1mw0elFREePHj7/kfS0WCxZL+wzIy6+BeqdBRKA/ia287/WPDSHQ35dqh5P8mna5vYiIW7v/tfzwww8ZMmSIu+bV1KlTWbhwIU888QRjxoxh6NChfPzxx+19W2lHB4tcI73jAjvXT7cjLiwwerSgEntDx60CLtKTqA+XtvjkdAkmH1/6RAcRF+qd5LUJiA11fTk7rxlKIm7qxwWgwdnILzcdBuDBsX06dPFn6fwqPvkrwWYfquoayDirRRg7k/buwydPnszBgwfZv3+/exs9ejQPPvgg+/fvp1+/flitVrZs2eI+x+FwkJ6e7k6Qjxo1Cn9//2Zt8vPzyczMbDGJ3p7OVbtGuw+IC2l1dLyvj4khF8oMZlV17Ho9ItL9tXsS/cUXX+T73/8+YWEX10cNDw/n0UcfZeXKle19W2knhmG4R6LHdrJBfUmRgUQHm6l3Ghw+pxpnIp6gPlxaU1hZx/FC1/Tv8f2jvRpLTIgZgGIl0UXc1I8LwPrPznK0oIqIIH+enDrI2+FIJ2M02BmTFAzA3uwyLcLYibR3Hx4aGkpqamqzLTg4mOjoaFJTUzGZTCxatIjly5ezceNGMjMzmT9/PkFBQTzwwAPu+z7yyCMsXryYbdu2sW/fPh566CGGDRvm+dlNvn7uEeX9YoPbdMr1VlfpqoIa8AnQD4gi0n7aPYn+xRdfcMcdd7R4fNq0aWRkZLT3baWdnD5fTVldI0aDg6jOUQ7dzWQyuUejf5FbgWF0rpHyIt2B+nC5HGejwbYjRQA4Tu/x2ij0Jk0j0YurlEQXaaJ+vPux2+3YbLY2b7lFZTy/2VWiYfHUQUQGm738BNIZpURaSIwIoKHRYOfJ894ORy7wRh/+1FNPsWjRIhYsWMDo0aPJy8tj8+bNhIZ+uY7CCy+8wOzZs5k7dy4TJkwgKCiITZs24et76UU+20tA7+E0GCaCzL5Yw9r23hkdYiEmxIyBiaBBnh8pLyI9R7vXRC8sLMTf37/lG/r5UVxc3N63lXby6elSAOznjuE7aKiXo7nYdQmh/PPUeSpq68kuqSElpm2/RotI26gPl8vZk11Ksc1OgJ8PFXv+Ct9/wKvxxIS4kuglNkebFsAS6QnUj3cvdrud3n36UlRY0OZzoqY/TugNdzA4PoT7b+rtweikKzOZTEwcFMvrn+VwvNDGjb3riG9jklI8pyP68O3btzf7bDKZSEtLIy0trcVzAgICWLVqVYcvTB3YbzQA/WKCr+g9b1B8KOdtJQRdP9FToYlID9TuSfRevXpx8OBBBgwYcMnjBw4caLZghXQun2WVAFCXcxDofEl0f18fhiSGse9sOV/klCuJLtLO1IdLS7LPV/NpluuH1omDY3mjrsrLEUFkkBkfEzicjdjsDYQGtPylU6SnUD/evdTX11NUWEDahp1YAoNabZ9bbucfh13v80un9deCkXJZcaEBXGcN5WhBFZ9mlTJrRKK3Q+rx1Ic3F9D3BgD6RF/Z9/5B8aHsOlVCQO9UKu1aT01E2ke7J9HvvPNOfvGLXzBjxgwCApr/kl1bW8t//Md/MHPmzPa+rXxNXl4epaWlV3zerhOFANhzD7d3SO1mRFIE+86Wc6a0hrJqh6aoirQj9eFyKeU1Dt4/5BoFOaxXONdZL67T6Q2+PibCAv0pr6mnrKZeSXQR1I93V5bAICyBl08i1Tsb2XHaVXKr6vN3GP0zjcCU1t2UEsWxgiqyzldTUFnX5pIZ4hnqw79UUtOAOaY3YJAUGXhF54YH+hNuNqhw+JJxro4JnglRRHqYdk+i/+xnP+PNN99k0KBBPP744wwePBiTycSRI0f4/e9/j9PpZNmyZe19W/mKvLw8Bg++jupq2xWd5xsSTdJjazEandjPHaOmutpDEV6b8EB/UmKCyTpfzRe55UwaHOftkES6DfXh8nUNzkbeOZiPvaERa1gAtw6K8XZIzUQGmS8k0R30jmp9lKZId6d+vOfadaqEyroGQsy+nE1fAzzn7ZCkC4gMMnOdNZQjBVV8erqEe27o5e2QejT14V/6osC15k2kBQL8r7z2emIQVDjg09za9g5NRHqodk+ix8fHs2vXLn74wx+ydOlS9+KPJpOJ6dOn84c//IH4+Pj2vq18RWlpKdXVNub9/HfEJvVt83k5NthdBEGNtRiOWursdZ4L8hqNSAon63w1h/MrGdc/2tvhiHQb6sPl6/55soTzNgeB/r7cNSwBP5/OVRogMsifLKC8ut7boYh0CurHe6bcshr255QDMLF/OIccShpJ292UEsXRwiqyS2rIr6glIfzKRv1K+1Ef/qUvClz5iLirnByRGGRwpNzE5+dqcTQ0YvbrXO+wItL1tHsSHaBPnz68++67lJWVcfLkSQzDYODAgURGRnridtKC2KS+JKYMbnP748eKgAqizJ2/ZljvqCAig/wpq6nn8LlKesZrhEjHUB8uTXJKa9ifWw7AtKHxhAR45LXhmkQGuUp6ldU4vByJSOehfrxnqa138sEhV0nGoYlhJEeqHIdcmYggM9dbwzicX8lnWaUaje5l6sPBMAx3Ej0+0Liqa0RaoMFWSm1IFJ9mlfCNgbHtGaKI9EAe/TYcGRnJmDFjPHkLaUf5Fa4/UmE+nXcEehOTycQNyRF8dKyYfTnlTLuwtsrx48ev+ppRUVH06qUXRpEm6sN7NgMT248XA6466H2vcEGnjqIkukjL1I93f4ZhsPVwITZ7A5FB/kwcFEujRqHLVRjTN5LD+ZVkl9RQWu0gSutOeV1P78MXT4hmwdO/JebBb1/V+SYT1J7aQ+iI6Ww9XKgkuohcs843pEy8wtHQSHGVq+ZYeBdIogMMSQjj06xSquoaOF5oA0x885vfvOrrBQeHcOzYUSXSRUSA6tihlFU7CPD3YUInLpsVGexaTLSyroEGZyN+vpqqKyI9x4HcCk6fr8bXZGJGagL+vj7YvR2UdEkRQWb6xwZzqriafWfLmHy95vqK95hMJobFB1Cx8y/4Pnx1SXSA2hOfupLoR4pIm2VgMpnaMUoR6WmURBcACirrMIDQAD8CjM5fzgXAz9eHkckR/PNUCadqXdNWZz/xSwYMveGKr1Wcm83a/3yC0tJSJdFFpMerq3dSkXgTADenRGO5isWcOkqgvy8WPx/sDY2U19YTE2LxdkgiIh2iuMrOxyfPA3DLwBhiQ9X/ybUZmRzJqeJqjhRUMa5/NEFmpQuka6s78wVmXxN55bUcya9iSGKYt0MSkS5Mw7UEgHPlrmmfCeFdq4bisKRwzH4+1BhmAgfeTFRCMokpg694u5IFWEVEuru/fZ5LozmYEIsfqb3CvR3OZZlMJpV0EfGgHTt2cPfdd5OYmIjJZOKtt95qdtwwDNLS0khMTCQwMJBJkyZx6NChZm3sdjsLFy4kJiaG4OBgZs2aRW5ubgc+RfdT72zkvcx8nI0GfaODGJHUuftq6RoSIwKID7PgbDQ4kFvh7XBErpnRYOcGqyvHse1IoZejEZGurlMn0VesWMGYMWMIDQ0lLi6O2bNnc+zYsWZt9OLePprqoSdGdK2V2C1+vu4vDeHjvoVxdWuOiIjIBQ3ORv5v+mkARvWJxNen8097DQt0jZSrrG3wciQi3U91dTUjRozgpZdeuuTx5557jpUrV/LSSy+xZ88erFYrU6dOpaqqyt1m0aJFbNy4kQ0bNrBz505sNhszZ87E6ewasx87ox3HiymrqSfY7MvUIfEqUSDtwmQycWNv1+KVB3IraHA2ejkikWs3ppcrx/HRsSIvRyIiXV2nTqKnp6fz2GOPsXv3brZs2UJDQwPTpk2jurra3UYv7teusdEgv8I1Ej0xvGsl0QFuSI7Ah0YsCYMobfD3djgiIl3atqNFnC2twaehlqFdZMpreKCr76+orfdyJCLdz4wZM3jmmWeYM2fORccMw+DFF19k2bJlzJkzh9TUVNauXUtNTQ3r168HoKKigtWrV/P8888zZcoURo4cybp16zh48CBbt27t6MfpFk4UVpF5rhKA6UOtKrkh7WpAbAihAX7U1js5VljV+gkindyoRNdI9P055ZRr1qKIXINOnUR///33mT9/PkOHDmXEiBG8+uqrnD17loyMDEAv7u3lfLWdeqeB2deH6JCutwp7kNmPRF/XF4lTdcEYGo4uInLV/vxJNgDBxYfw7yKLdIYFNC0uqiS6SEfKysqioKCAadOmufdZLBYmTpzIrl27AMjIyKC+vr5Zm8TERFJTU91tLsVut1NZWdlsE6isrWfrUddoyjF9I0mOCvJyRNLd+PiYGH6hlFtmnv67k64vNtiPwfGhNBqw48R5b4cjIl1Y1/h2fEFFhasuW1RUFKAX9/aSX+4q5ZIQHoBPF50K2tu3nEZHLVVOf7LOV7d+goiIXORkURX/PFmCjwlCijK9HU6bNY1Er9RIdJEOVVBQAEB8fHyz/fHx8e5jBQUFmM1mIiMjW2xzKStWrCA8PNy9JScnt3P0XY+z0eD9QwU4GhpJCA9gbEq0t0OSbmpIYhg+JiiorOO8TX9bpeubNDgWgO0q6SIi16DLJNENw+DJJ5/klltuITU1FdCLe3txLyoa0bUWFf0qs6mRqoxNAHxyukSj0UVErsKaXdkATLk+Hj9H15nCHdaURK9rUP8v4gVfr8dtGEarNbpba7N06VIqKircW05OTrvE2hnY7XZsNlubtyafZpWQX1GH2deHO4Zau8SaFdI1BZn9GBAXAsChQg1Qkq5v4oUk+o7jxTQ26l1RRK5Ol0miP/744xw4cIDXX3/9omN6cb8255oWFe2C9dC/qvKzjfjSyHmbg5NFttZPEBERt4raev6WkQfA/Al9vRvMFQq1+GEyuUZpVtu13olIR7FarQAXDUwpKipyD3KxWq04HA7KyspabHMpFouFsLCwZlt3YLfb6d2nL6GhoW3aEhISAMgtq2FPtuuf4eTr49w/Hop4yrALJV1OFNdiMnft74kio/tEEWz25bzNQea5Cm+HIyJdVJdYhWbhwoW8/fbb7Nixg6SkJPf+r764N71gQssv7l8djV5UVMT48eNbvKfFYsFisbT3o3Q6lXX12OwNmExgDe+6I9EBGuuq6G2pJcsezCenS+gXG6IROiIibfTXvTnU1jsZHB/KuH5dq0SAj4+JUIsflXUNVKguukiHSUlJwWq1smXLFkaOHAmAw+EgPT2dX//61wCMGjUKf39/tmzZwty5cwHIz88nMzOT5557zmuxe0t9fT1FhQWkbdiJJbD1euaVZef51b/NZvspV2nJIQlhDIoP9XSY4mVfnYHQHu2uRq+IQKKCzJTWOAgeMslj9xHpCGY/HyYMiGHz4UK2HytmeFKEt0MSkS6oU49ENwyDxx9/nDfffJMPP/yQlJSUZse/+uLepOnFvSlB/tUX9yZNL+6XS6L3FE2lXGJDLF1mAbnL6R1QS6C/L2U19fqFWaQT2LFjB3fffTeJiYmYTCbeeuutZsfnz5+PyWRqtt18883N2tjtdhYuXEhMTAzBwcHMmjWL3NzcDnyK7s/ZaLD2woKi353Qt9XZXJ1RmOqii3iEzWZj//797N+/H3CtSbR//37Onj2LyWRi0aJFLF++nI0bN5KZmcn8+fMJCgrigQceACA8PJxHHnmExYsXs23bNvbt28dDDz3EsGHDmDJlihefzLssgUFYAoNb3wKCiJr6A2yORsID/Zk4KNbboYsHNdQ7wORDQkLCFc1UcDob2j0Wk8nEsCTXaPTQkXeqXJp0eZMGxwGqiy4iV69Tj0R/7LHHWL9+PX//+98JDQ11TxUNDw8nMDCw2Yv7wIEDGThwIMuXL2/xxT06OpqoqCiWLFnS41/cmzQtKpoY0T2m6PmZDMamRLH9eDGfni7lOmsoFj9fb4cl0mNVV1czYsQIvvvd73Lfffddss0dd9zBq6++6v5sNpubHV+0aBGbNm1iw4YNREdHs3jxYmbOnElGRga+vvrvuz1sO1JITmktEUH+3HNDL2+Hc1XCA/3JLatVEl2kne3du5fbbrvN/fnJJ58EYN68eaxZs4annnqK2tpaFixYQFlZGWPHjmXz5s2Ehn45WvqFF17Az8+PuXPnUltby+TJk1mzZo368DbIKnMQkno7JmDakHjMfl1/0Iu0zNnQAEYjy177iJCw8FbbV5adZ8X8aTidnklwX2cNZeeJYsxxKRwpsHFTqGZBSNfVtLjo/pxyymscRASZWzlDRKS5Tp1Ef/nllwGYNGlSs/2vvvoq8+fPB9CL+zU6V+EaiZ7YxUu5fFVqr3C+yC2nrKaePdll3DIgxtshifRYM2bMYMaMGZdtY7FY3OW5vq6iooLVq1fz2muvuX/4XLduHcnJyWzdupXp06e3e8w9UdOCot8Z05tAc9f82xgW4BqJrnIuIu1r0qRJlx2BajKZSEtLIy0trcU2AQEBrFq1ilWrVnkgwu7LVtfArhzXu/rwhKBuM+hFWmcOcM1UaI2ltsajcQT4+9I3KoBTJXX8/UAhNw1MaP0kkU4qMSKQwfGhHCusYseJ88wakejtkESki+nUQxkMw7jk1pRAhy9f3PPz86mrqyM9PZ3U1NRm12l6cS8pKaGmpoZNmzaRnJzcwU/T+dgbnJy3OYDuMxIdwNfH5E6c788p16hEkU5u+/btxMXFMWjQIL7//e9TVPTlFMuMjAzq6+uZNm2ae19iYiKpqans2rWrxWva7XYqKyubbXJpn58tY9epEnxM8PC4Pt4O56qFBbrGBVTWtv+UdhGRjmYYBluOFOJwGtjzTzAyofX66SKeMDjO9e/eO5mFOBoavRyNyLVpGo2uki4icjU6dRJdPKugwlXKJSzAj2BLp56UcMVSYoJJigzE2WiQfrzY2+GISAtmzJjBX/7yFz788EOef/559uzZw+23347dbgdcC0ebzeZmC0MDxMfHu0t8XcqKFSsIDw93b5764XTO3Pv5xuQ7WtzmzL3fI/dtT//1wTEAvjkqiV5d+AfV8As10Sv0w6mIdAOH8is5W1qDrwnO/+N5fHy63loV0j0kRVhosJVSXtvAR0o8djkvv/wyw4cPJywsjLCwMMaNG8d7773nPm4YBmlpaSQmJhIYGMikSZM4dOhQs2t0p/WJJl5Iou84Xkxjo+r8i8iV6V6ZU7ki57pZPfSvMplMTBoUy/rPznL6fDWnim30jw3xdlgi8jXf/va33f87NTWV0aNH06dPH9555x3mzJnT4nmGYVx28culS5e66/YCVFZWeiSRXlxSxpyf/K7F42/+6ol2v2d7+uhYEbtOlWD29eGJyQO9Hc41aSrnYrM3EGHSGAER6bps9gY+PnEegJEJAZwu7ZrJKukefEwmqg99RPjY+/jfjFymD710CT7pnJKSkvjVr37FgAEDAFi7di333HMP+/btY+jQoTz33HOsXLmSNWvWMGjQIJ555hmmTp3KsWPH3CVyu9P6RKP7RBFs9uW8zcGhc5XuxXNFRNpC3zJ7sC/roXe/JDpAdIiFG3u7Rq9uP1as6YciXUBCQgJ9+vThxIkTAFitVhwOB2VlZc3aFRUVER8f3+J1LBaLe8RN0ybNNfr487ONmQD8y7g+JEV27VIBQWZf/C6M1Gwwa+EzEemaDMNg+7EiHA2NxIVaGBpn8XZIIlRnbgPgo6NFlNjsXo5GrsTdd9/NnXfeyaBBgxg0aBDPPvssISEh7N69G8MwePHFF1m2bBlz5swhNTWVtWvXUlNTw/r164Ev1yd6/vnnmTJlCiNHjmTdunUcPHiQrVu3evnprpzZz4cJF0q/amaFiFwpjUTvoZyNhrucS0JE91lU9OtuSonieGEVlXUNfJpVwjcGxl62/fHjx6/qPlFRUfTq1euqzhWRL5WUlJCTk0NCgmvhqlGjRuHv78+WLVuYO3cuAPn5+WRmZvLcc895M9QuzTAMynt/g+ryWpIiA/nx1EHeDumamUwmwgL9Ka124LToRxMR6ZpOFts4VVyNjwmmXB+PT73W9BDvqz9/lqEJoRzKr+LtL87x3Qkp3g5JroLT6eSvf/0r1dXVjBs3jqysLAoKCpqtPWSxWJg4cSK7du3i0UcfbXV9ounTp1/yXna73V2eEehU6xNNGhzH5sOFbD9W1OVnYopIx1ISvYc6b7PT0Ghg8fMhOtjs7XA8xt/Xh0mD43j7i3PsyylnYFwo1vCLfzSoKisBTHzzm9+8qvsEB4dw7NhRJdJFvsZms3Hy5En356ysLPbv309UVBRRUVGkpaVx3333kZCQQHZ2Nj/96U+JiYnh3nvvBSA8PJxHHnmExYsXEx0dTVRUFEuWLGHYsGFMmTLFW4/V5R3IraA6digmEzx33/Busy5G+IUkeoOS6CLSBTkaGtlx3FXGZXSfKGJDLVSWejkokQvuGR7Pofwq/jcjV0n0LubgwYOMGzeOuro6QkJC2LhxI0OGDGHXrl0AF83ujI+P58yZM8C1rU/09NNPt/OTtI+mxUX355RTXuMgIqj75kNEpH11j2/NcsXOlbtKuSSEB1y2rnB3kBITzOD4UI4VVvHB4QIeuKk3/r7NKxnV1VQBBrOf+CUDht5wRdcvzs1m7X8+QWlpqZLoIl+zd+9ebrvtNvfnpjrl8+bN4+WXX+bgwYP8+c9/pry8nISEBG677TbeeOMNdw1GgBdeeAE/Pz/mzp1LbW0tkydPZs2aNV2uBmNncaygyr3g8k/uuI7xF6a0dgdhAa7XmgaL6luKSNfzWXYpNnsD4YH+jOkb2foJIh3ozqFx/GbrKQ6dq+RIfiXXJ+gH665i8ODB7N+/n/Lycv72t78xb9480tPT3ce/ng9obe2htrTpqPWJrkZiRKA7P7DjxHlmjUj0dkgi0kUoid5DnXOXcume9dC/btLgWHLLayivqeefJ88zaXDcJdtFJSSTmDK4g6MT6b4mTZqEYRgtHv/ggw9avUZAQACrVq1i1apV7Rlaj3S62MYHhwswgOCiTP7t1ju9HVK7Cgt0LS6qkegi0tWUVjvYd9a1/setg2Lw89XSVdK5RAT5M/m6eN4/VMDfMnL52cwh3g5J2shsNrsXFh09ejR79uzht7/9Lf/+7/8OuEabN5VShOZrD311faKvjkYvKipi/PjxLd7TYrFgsXTeNR0mDY7lWGEV248VKYkuIm2mt7MeyDAM8subFhXtvvXQvyrA35ep17teBL7IreBMSbWXIxIR6Vi5ZTW8m1mAYcB11lAiz3zU7WYihSuJLiJdUNNioo2GawZlv5gQb4ckckn3jUoC4K3952hwNno5GrlahmFgt9tJSUnBarWyZcsW9zGHw0F6ero7Qf7V9YmaNK1PdLkkemc38UJJlx3Hi2lsbHnAj4jIVymJ3gNV1jVQ7XDiY4L4sJ6RRAfoEx3MsF6uKf4fHCrEZm/wckQiIh2jsLKOt784h7PRoF9MMFOuj6d7pc9dwgJcSXSnWUl0Eek6ThVXk1NWi6+PiYmDYr0djkiLJg2OJTLIn/M2O7tOlXg7HGmDn/70p3z88cdkZ2dz8OBBli1bxvbt23nwwQcxmUwsWrSI5cuXs3HjRjIzM5k/fz5BQUE88MADQPP1ibZt28a+fft46KGHuvz6RKP7RBFs9uW8zcGhc51n0VMR6dxUzqUHahqFHhtquag2eHf3jYEx5FfUct7m4L2D+cy5MQlfn+6YShIRcSmx2Xlrfx71ToOkyEBmpFq7bb8XFuh6rWn0D8RmbyCkmyyYKiLdl7PRYOdJ12KiN/aOcM+oaQ82m61d24n4+/owc3gir+0+w1v78rhVP/p0eoWFhTz88MPk5+cTHh7O8OHDef/995k6dSoATz31FLW1tSxYsICysjLGjh3L5s2bu/36RGY/HyYMiGHz4UK2HytiWJLW0xGR1unbZQ/UVA89sYfUQ/8qf18f7hyWwIbPcjhXUceuU+f5xkC9/IlI91RZW89b+89RV99IfJiFu4cndus6uxY/XwL8fKhraCSntEaLnolIp3cwr4KK2noC/X0Z3SeqXa7ZUO8Ak0+zGsdt4XRqlqa0bvbIXry2+wzvHyrgGUcDQWalFDqz1atXX/a4yWQiLS2NtLS0Ftt01/WJJg2OY/PhQj46VsTCyQO9HY6IdAH6i9cDnXPXQ+95SXSAyCAzU4fE887BfD4/W05sSOdd8ERE5Go5/YJ4c18eNnsDUcFm7rmhF2a/7ptAbxIW6E9dlV1JdBHp9Oz1Tj7NcpXEGNcvut36aGdDAxiNLHvtI0LCWh9dWVl2nhXzp+F0qi6wtO7G3hH0jgribGkNWw4Xcs8NvbwdkshVmXShLvr+nHLKaxxEBJm9HJGIdHbd/9u0NGOvd1JS7QAgoYcsKnopA+JCGNXHtbr41iNFlDf23H8WItL9nCuvpej6OVTU1hMW4Me9N/Qi0L/rTrm9EmEXSiHklNV6ORIRkcvbc6aMuvpGooLMDE1s/x/9zAFBWAKDW98Cgtr93tJ9mUwmZo90Jc437svzcjQiVy8xIpDB8aE0GrDjxHlvhyMiXYCS6D1M/oVSLuGB/gT38FqxE/pHMyA2BKdhkFkfj19kordDEhG5Js5Gg38cOMfdq3bSEBBJaIAfc25MIiSg5/T34RcWF80prfFyJCIiLat2ONmfUw7AhIHR+HTTtSqke5p9g+t708cnzlNcZfdyNCJXr2k0+vZjRV6ORES6gp7zrVoAOFfRVMpFI69NJhPTh8Zj+7yBgso64uf+krpG/a4kIp1bUWUdxwqryK+oo3jYw0xdmU6wxQ8/HxPZJdWct7lmG/nXnOdbE0YTGtB+i9R1BU2Li+aWKYkuIp3XvlwbzkaDhPAAUqKDvR2OyBXpFxvCiOQIvsgp5x8HzvHdCSneDknkqkwcHMv/3XGaHceLaWw09IOmiFyWMoY9TH55z11U9FL8fH24e0QCgaZ6/CKsfG4Lp9quRZVEpPMpsdn5x4FzvL4nh8/PlpNfUUdDQAQnimzszyln75kyztscRAb5s/D2AcQffqPHJdDhK+VcSlXORUQ6J9+wWA4XVgMwvn80JpOSNtL13HthNPpb+895ORKRqze6TxTBZl/O2xwcOlfp7XBEpJPTSPQexNloUFDpSqL35HroXxdk9mOE/zl2FgdQGx7Pm/vyuO/GXlppXkQ6hRKbnb1nyjhaUAWACde6Dv1ig9n3v3/gtyt/g83eQL2zkfgwC6m9wrH4+fLWrxu9G7iXuMu5lNVgGIaSUyLS6YSP/w6NBiRFBpIUqXrk0jXNHJHIf75zhC9yyjldbKNfbIi3QxK5YmY/H74xMJb3DxWw+XABw5JaX4xZRHouZQl7kOIqOw2NBhY/H6KCtfL0VwWYnBRuWEa/H/xfSqsd/G9GLveO7NUjR3GKSMerq3dy+FwlRVV27A1OTCYTjYZB6Ow01n161t1uQGwIN/eLIjrEAsBh2znG9Y/2VtidUuiF+u81Diel1Q73PysRkc7gbGktIcOmADCun/pv6bpiQix8Y2AM248V89b+czw5dZC3QxK5KjOGWXn/UAHvHMjnyamDNABDRFqkci49SFM99ITwAP1huISG8gJuDKkgxOJHWU09f83IpazG4e2wRKSbO5Jfyav/zObjk+c5VlhFdkkNWeerOVNSg294PD4m6BcTzHfGJHPX8AQlhVvh5+uDr8MGQE6ZSrqISOfyyj/PYvLxJTnCovKK0uXdO7IXAG/ty8MwDC9HI3J1Jl8fj8XPh9PnqzmSX+XtcESkE9NI9B5E9dBbF+Tr5Fujk9i4L4/ymnr+ujeXmcMTOvU/s7y8PEpLS6/q3KioKHr16tXOEYlIW9liU9l8uBCAmBAzg+JDCTL7uo+/9dtlLH7mtwT4+7Z0CbkEX3slTnMIOaU13JAc4e1wREQA14LH/zjo6vNHJ4d6ORqRazd1SDxBZl/Oltbw+dlyRvWJ9HZIIlcsxOLHbYPjXKPRD55jSGKYt0MSkU5KSfQewjAM90j0xPDOmxDuDMIC/PnWqCTe2n+O4io7b36ex+Tr47g+ofP9Mc3Ly2Pw4OuorrZd1fnBwSEcO3ZUiXQRL/j0dAllfSYCMDI5gm8MjLloltD/5h9VAv0q+NkrcYQmklNW4+1QRETcXtlxmoZGg9rs/cSPv9Pb4YhcsyCzH3cMtfLmvjze2penJLp0WXcNT3CXdFkybbBm7ovIJSmJ3kNU1jVQ43DiY4L4MJUCaE2Q2Y9vjUrig0MFnCquZvPhQkqrHYzvH92p/qCWlpZSXW1j3s9/R2xS3ys6tzg3m7X/+QSlpaVKoot0sIraen78xn4w+XB9QuglE+hy9fzslQDklKqci4h0DkVVdWzYkwNAxSdvwANKokv3MHtkL97cl8c/Dpzj5zOHYPZTxVjpem6/Lo4Afx+yS2o4dK6S1F5aYFRELqYkeg9xrtyVSIgLDcDPVy82beHv68NdwxL45HQJe7LL2HumjNJqB1OHxLfryNBrKcdy/PhxAGKT+pKYMrjdYhIRz/r9Ryc5V1GHX105kwb1VwK9nfk6XEn0XI1EF5FOYvXHWTgaGhmRFMaZswe9HY5IuxnfP5rYUAvFVXZ2HC9mypB4b4ckcsWCLX7cfl0c7x4s4J2D+Uqii8glKYneQzQl0RMjArwcSddiMpkY3z+GyCAz244Ucfp8Na9/dpYZwxKwhl37P8trLcfSpKa6+ppjEZGOkVNaw5p/ZgMQcXYHZr8x3g2oG/pyJLqS6CLifRW19azbfQaAf5vQm7e9HI9Ie/Lz9WHWiERW78zirf15SqJLl3XXsETePVjAPw6c46npKukiIhdTEr2HyK/QoqLX4vqEMKKCzbx7MJ/Kugb+ujeHbwyMZUTStf1CfS3lWACOZ+zi7Vd+RZ297priEJGO81+bj+FwNjJhQDRn9pzxdjjdUlMSPa+8Fmejga+PvgSJiPf8dW8O1Q4ng+NDuXVAlLfDEWl3s2/oxeqdWWw5XEhVXT2hAf7eDknkit12XSwhFj9ySmvZfbqUcf2jvR2SiHQySqL3AHX1TkqqHQAkhGsk+tWKDwvggZt6s+VIIaeKq0k/XkxuWQ1Dg6792ldbjqU4L/vaby4iHeZAbjl/338OkwmWzrieH77u7Yi6J1+HDT8fE/VOg8LKOv2ALCJe42w0WLMrG4DvTuirkY3SLaX2CqN/bDCniqt5P7OAb41O9nZIIlcsyOzH3SMSef2zs2zYc1ZJdBG5iIpj9wB5F0q5RAb5E2TW7ybXwuLvy13DEpg4KBYfE5wqruaDXBOB/VWOQUQuzzAMnn3nCAD33tBLtRY9yIThTpyrpIuIeNO2I4XkltUSEeTPPTdoIXfpnkwmE/eOdP37/db+PC9HI3L17r/J9QPQe5kFlNc4vByNiHQ2SqL3AHllriR6r0iNxGsPJpOJG5Ij+PaYZKKCzdidJuK++R+89GkJ1fYGb4cnIp3UtiNFfJpVitnPh8XTtRCwpyVHXUiiX/gbKCLiDa9eWAPj/pt6E2huv4XpRTqbph+Jdp0qoaBCpSalaxrWK5whCWE4Ghp583P9ICQizSmJ3gM0jURPimiHuiPiFhcawP1jkhkUbmAYjXxwspppL+xg+7Eib4cmIp1Mg7ORFe+5RqF/b0IKvVRexOOSI11/8zQSXUS85WhBJZ+cLsHXx8TDN/fxdjgiHpUcFcSYvpEYBrz9hZKP0jWZTCb3aPQNe85iGIaXIxKRzkRJ9G7O3uCkuMoOaCS6J/j5+jAi2qDw9WXEBfuSV17L/Ff38KMN+zhvs3s7PBGv27FjB3fffTeJiYmYTCbeeuutZscNwyAtLY3ExEQCAwOZNGkShw4datbGbrezcOFCYmJiCA4OZtasWeTm5nbgU1y7N/bmcKq4msggfxbc1t/b4fQIvaNdSfQzJdVejkREeqo1F0ah3zHUqrUZpEeYfaGky8Z957wcicjVm3VDLwL8fTheaOPzs+XeDkdEOhEl0bu5c+V1GEB4oD8hFtVD9xR7zkFeuiuBf70lBR8T/H3/OaasTOf1z87ibNSv19JzVVdXM2LECF566aVLHn/uuedYuXIlL730Env27MFqtTJ16lSqqqrcbRYtWsTGjRvZsGEDO3fuxGazMXPmTJxOZ0c9xjWx2Rt4YcsJAJ6YPJCwAH8vR9QzpEQHA5BVopHoItLxyqodbNznGo07f0Jf7wYj0kHuGpaAv6+JI/mVHC2o9HY4IlclPNCfO4clAPCX3We8HI2IdCbKqnZzTfXQkzQK3eMC/X342cwhzLohkZ/87SCH8ytZ+uZB1u7K5md3DeGWgTHeDrHTyMvLo7S09KrPj4qKolcvLc7VFcyYMYMZM2Zc8phhGLz44ossW7aMOXPmALB27Vri4+NZv349jz76KBUVFaxevZrXXnuNKVOmALBu3TqSk5PZunUr06dP77BnuVqv7DjNeZudvtFBPDhW0/k7St8YVxI9+7xGootIx3t9z1nsDY2k9gpjdJ9Ib4cj0iEigszcNjiOzYcLeWvfOX4yI8zbIYlclXnj+vLm53m8/cU5/s8dg0kIVz5FRDQSvdvLLXeNwFP93Y4zPCmCvz8+gV/MHEJ4oD9HC6p4aPWnPLJmD0fyNSIjLy+PwYOvY/jw4Ve9DR58HXl5qrXY1WVlZVFQUMC0adPc+ywWCxMnTmTXrl0AZGRkUF9f36xNYmIiqamp7jaXYrfbqaysbLZ5g9M/mD/uOA3AU3dch9lPf3Y7St8LI9Erauspq3Z4ORoR6UkanI289olr9OL88SmYTCYvRyTSce69UNLl7f15NGpGrtetWLGCMWPGEBoaSlxcHLNnz+bYsWPN2vSU8opXYkRyBDelRNHQaLBmV7a3wxGRTkIj0bux+kYoUj10r/D39eF7t6Rw78he/HbbCdbtPsO2o0VsO1rElOvjWHDbAG7s3TNHJZWWllJdbWPez39HbFLfKz6/ODebtf/5BKWlpRqN3sUVFBQAEB8f32x/fHw8Z86ccbcxm81ERkZe1Kbp/EtZsWIFTz/9dDtHfOUqeo2ltt7Jjb0jmJFq9XY4PUqg2RdrWAAFlXVklVQTGWz2dkgi0kN8cKiQ/Io6YkLM3D0iwdvhiHSo266LIzTAj3MVdXyWXcrN/aK9HVKPlp6ezmOPPcaYMWNoaGhg2bJlTJs2jcOHDxMc7Bpw0FRecc2aNQwaNIhnnnmGqVOncuzYMUJDQwFXecVNmzaxYcMGoqOjWbx4MTNnziQjIwNfX19vPqLH/Ns3+vFZVil/2X2WH07sT0SQ3iVFejol0buxkjowDAgL8FMNXi+JDDaTNmsoD4/rw8rNx3k3M5+tR4rYeqSIcf2iuS3JBD7d86WjNbFJfUlMGeztMKQT+PoIPcMwWh2111qbpUuX8uSTT7o/V1ZWkpycfG2BXqESm53qmOsBWHbX9RqJ6AV9Y4IoqKwj+3x1j/3hUkQ63qv/zALggZt6Y/Hrme950nMF+PtyZ2oCb+zN4a19eUqie9n777/f7POrr75KXFwcGRkZ3HrrrR4rr2i327Hb7e7P3poVei1uvy6O66yhHC2o4k87s3hymr67ivR0SqJ3Y8V1roSNRqF7X//YEH7/4I2cKrbx39tPsXFfHp+cLuGT09DrB3/iYKkJ3+g64kItSrRJj2G1ukZmFxQUkJDw5Ui9oqIi9+h0q9WKw+GgrKys2Wj0oqIixo8f3+K1LRYLFovFQ5G3zc6T58Hkwx1DrYzqE+XVWHqqlJhgdp8uVV10EekwB3Mr2HumDD8fEw/drHUwpPuw2WxtbntXaixv7M3hnYP5pM0aSoC/fkzqLCoqKgDXGlPQennFRx99tNXyipdKoneWWaEAx48fv6rzoqKi+NHkgfzwL5/z6j+z+d4tKRqNLtLDKYnejRW71hRVPfROpH9sCL/51ggWTR3En3dls+HTbCqI5mg5HN2TQ2iAH/1jQ+gXE0xCeAB+vqqfLN1XSkoKVquVLVu2MHLkSAAcDgfp6en8+te/BmDUqFH4+/uzZcsW5s6dC0B+fj6ZmZk899xzXou9NXnltWSX1ECjk3+fcZ23w+mxmuqiZ5XUeDkSEekpXt3lGoV+1/AE4sICvByNyLVrqHeAyafZgIfWxMUnkPLEnymotPPR0SJmDFNZo87AMAyefPJJbrnlFlJTUwHPlVfsDLNCq8pKABPf/OY3r+r84OAQjhw9wvUJYRzJr+SlD0/ys5lD2jdIEelSlETvpkz+FkovzJ5KigzybjBykV4RgSy983qmJ9bzje8sYOSDP6Gg1oequgb255SzP6ccX5OJ+DALvSID6RURiDU8QFOCpcux2WycPHnS/TkrK4v9+/cTFRVF7969WbRoEcuXL2fgwIEMHDiQ5cuXExQUxAMPPABAeHg4jzzyCIsXLyY6OpqoqCiWLFnCsGHD3NNJO6PPskoBCD5/hJSYWV6OpufqG+NKomskuoh0hOIqO//4Ih+A705I8XI0Iu3D2dAARiPLXvuIkLDwVtvba2tI+84tPJ4ax+pdOWzcl6ckeifx+OOPc+DAAXbu3HnRsfYur9gZZoXW1VQBBrOf+CUDht5wRec2rcNVXlbG0hnX8S9/+oy1n2Tz8Lg+9LkwSENEeh4l0bspS+J1GJgIsfgRFqD/mzsrf18TNcf+ybh4g7je/ThTWsOpIhtny2qotjs5V1HHuYo69lAGQHSwmYTwABLCA0mICMDQgvfSye3du5fbbrvN/blpRMq8efNYs2YNTz31FLW1tSxYsICysjLGjh3L5s2b3YsYAbzwwgv4+fkxd+5camtrmTx5MmvWrOm0ixjlV9RytrQGHxOE5e/1djg9Wv/YEABOFdva9GVQRORarP/0LA5nIyN7R3BDcoS3wxFpV+aAICyBbU8ezkyNZ/WuHD46VkR5jUNlMLxs4cKFvP322+zYsYOkpCT3fk+WV+wsohKSr2ktrlsHxXLroFh2HC/mP/9xmP83b0w7RiciXYlqRXRTlt7DAFc9dCUNugY/Xx/6x4YwbaiVRyakMG9cHyZf71rMJDzQtTBsSbWDzHOVbDlSyJ8/OcM/HX2Ive8XZNcFkVNaQ72z0ctPIdLcpEmTMAzjom3NmjWAa9RLWloa+fn51NXVkZ6e7p5e2iQgIIBVq1ZRUlJCTU0NmzZt6vDpoFdi/9lyAAZbQ/FzVHk3mB6uT3SQ68dKh+tHSRERT3E0NLLuU1fpg/nj+3o3GJFOYGBcMNcnhFHvNHjnYL63w+mxDMPg8ccf58033+TDDz8kJaX5LJmvllds0lResSlB/tXyik2ayit2hSR6e/jFzOvx9zWx9UgRmw9duoSNiHR/GqLcTQUku5JQSaqH3iWZTCYigsxEBJlJTXRNm6y2N1BQWUd+RR355bUUVtlpaPQlaMBNnKqDU/vy8DFBclQQA+NC6BcbQqAW8RHpUNX2Bk4WuxbeGpkcycdejqen8/f1ISUmmOOFNk4UVmmNEBHxmHcP5lNcZSc+zMKdKl0hAsC9IxM5kl/J3/ed48GxWmjXGx577DHWr1/P3//+d0JDQ901zMPDwwkMdA24667lFdvTgLhQ/u3Wfvz+o1P87K1MRvWJJDrEu+VqRKTjKYneDdU1NGJJcE1X6hWphEF3EWxxLTraVJ7A2Wiwa2c6W99/h+vu+BdqfEKw2Rs4U1LDmZIaTEeLSI4MIjUxjH6xIfj6XHpGwrWsVt6rV6+rfh6R7ujQuUoaDUgIDyA2VC/WncGAuBCOF9o4WWRj0uA4b4cj0u2kpaXx9NNPN9v31cXmDMPg6aef5pVXXnGX7fr973/P0KFDvRGux7y6KxuAh8b2wV8Lw4tgs9mYPCCCFcBn2aUcyz1Pr4iWF9v19/f3eg3t7ujll18GXLNDv+rVV19l/vz5AN2yvKInLLx9IB8cKuRkkY1//9sB/vgvozXrX6SH6fRJ9B07dvCb3/yGjIwM8vPz2bhxI7Nnz3Yfb8uLud1uZ8mSJbz++uvuDv8Pf/hDs1pg3cnhIjsmP38CfQ0iLpQBke7H18dEmI+dqr1vM+y+e0kdNYzSagcni1zJomKbnbOlNZwtrSHY7MvQXuGkJoYRGuD6d6I9Vis/duxol0uk5+XlUVpaelXn6ocDuRzDMDicXwnA8F6tL7wlHWNAXChQwMkim7dDEem2hg4dytatW92fv5pUee6551i5ciVr1qxh0KBBPPPMM0ydOpVjx441S9B0ZZ+fLeOLnHLMfj48MLa3t8MR8aqGegeYfNz1teO+/SyBfUdw07cWULn7ry2eFxdv5eyZbCXS25nRhkW0msorpqWltdimqbziqlWr2jG6riXA35fffWcks3//T7YeKeK13Wf4l3F9vR2WiHSgTp9Er66uZsSIEXz3u9/lvvvuu+h4W17MFy1axKZNm9iwYQPR0dEsXryYmTNnkpGR0S1/Od1X4Kr7Gh908Srb0r1FBZu5KSWKm1KiKK9xcDi/ksy8SqodTj7LKmVvdikD40MZ1TuyXVYrLy0t7VJJ5by8PAYPvo7q6qtLpnXVHw6kYxRV2amorcfPx0T/uBBvhyMXDLzw/8UJJdFFPMbPz8+9ON1XGYbBiy++yLJly5gzZw4Aa9euJT4+nvXr1/Poo492dKgeseaf2QDMGpGo6f3S4zkbGsBoZNlrHxESFs7Rwhq2nyon5Y5H+PZPfnLJ76f22hrSvnML9fX1SqJLpzYkMYyld17H05sO88w7RxjVJ5KhiRo8I9JTdPok+owZM5gxY8Ylj7XlxbyiooLVq1fz2muvuet1rVu3juTkZLZu3cr06dMveW273Y7dbnd/rqysbOcn85z9+ReS6IGt/+os3VdEkJnx/WMYmxLNySIbB/LKOVdex7GCKo4VVBFpshLQdySR1mtbrbwrKS0tpbraxryf/47YpL5XdG5X/eFAOs7xQtciov1igjWV38uOHj3CNybfAYAjMBpSH+DzU/ncMvkOTEBsdCRv/s/r3g1SpBs5ceIEiYmJWCwWxo4dy/Lly+nXrx9ZWVkUFBQwbdo0d1uLxcLEiRPZtWvXZZPoXeVdvKCijncvLJqoBUVFvmQOCMISGMx1SQH8M7uC8toGSuy+KjcqXcqlSp+OCjUYnRjA3nN1PPzHT/iv6fHEBjdPrWkGs0j31OmT6JfTlhfzjIwM6uvrm7VJTEwkNTWVXbt2tZhEX7FixUX1HbuC4io72eX1AMTp/URwlX0ZbA1lsDWUwso6Pj9bxokiG2VGEPHf/k8+q2rAL7+SQfGhLdZN725ik/r2mB8OpGMYhsHxQtdI54Hx3aM8QVdW32gw5ye/A6ChsZE/fHQKwy+A6T9eSYjFjzd/9YSXIxTpPsaOHcuf//xnBg0aRGFhIc888wzjx4/n0KFD7rro8fHxzc6Jj4/nzJkzl71uV3kX/8unZ2hoNLipbxSpKuUlchGLny+D4kM5dK6Sg+cqlESXLqG10qcmSzDWB5+jNLYPD/3xEwr+8hSGvdp9XDOYRbqnLp1Eb8uLeUFBAWazmcjIyIvaNJ1/KUuXLuXJJ590f66srCQ5Obm9QveYXafOA+AoPEVAvxQvRyOdTXxYADNSE5hQW8/mT78gp9aMzRzI5sOF7DpVwg3JEaT2CsPi1/3KHIl4UrHNjs3egL+vib7RQd4OR77Cz8eHiCB/ymrqKbHZCbF06VcfkU7nqzNGhw0bxrhx4+jfvz9r167l5ptvBi4uL2gYRqslB7vCu3hdvZO/fOr6znH/KCs2W+tlo9rSRqS7Se0VzqFzlZwsslE7yEmgv75rSOfWltKnNQ2wLc+A2D6M+skGbrEa+PloBrNId9YtvklezYt5a20sFkuXrMf28QlXEr02ez+MUxJdLi0s0J+BfiXs/sNSJv1kNfmN4djsDew8eZ7PskpJ7RXGsF7hRASZvR2qSJeQfb4GgOTIIPxUyqXTiQ21UFZTT3GVnT7Rwd4OR6RbCw4OZtiwYZw4cYLZs2cDrkEtTYsMAhQVFV00CObrusK7+JsZZymtrqehoog5Y2eB0djmc53OBg9GJtK5xIdaiA21UFxl52h+JSN7R7Z+kkgnEJVw+dKn4VY7/5uRS3FdI7vLArnnhsQOjE5EOlqXTqI3LWB0uRdzq9WKw+GgrKys2Wj0oqIixo8f37EBe5hhGPzzpCuJXpe9H7jXq/FI59dor6ZvQC13jBzBsYIqPj9bTmm1g8/PlvP52XKsYQEMtoaSEhNMeKC/t8MV6bSyS1zTN/sqQdspxYZYOF5oo9hmb72xiFwTu93OkSNH+MY3vkFKSgpWq5UtW7YwcuRIABwOB+np6fz617/2cqTXxjAM/vzJWQBuvr43o9/a26bzKsvOs2L+NJxOrV0kPYfJZCI1MYyPjhVzMK+CG5IjWh30JtIVxIZamD0ykb/vP0d+RR1vfp7HzVHejkpEPKVLD5f76ot5k6YX86YE+ahRo/D392/WJj8/n8zMzG6XRD9VXE1+RR3+PmDPPeTtcKQL8fPxYWhiOA+N7c2sEYn0iQrCBBRU1pF+vJg1u7JZuyubbUcKycyroMwOJrPqGYqAazp/QYVrQec+MSrl0hnFhLpGsxZXKYku0t6WLFlCeno6WVlZfPrpp3zzm9+ksrKSefPmYTKZWLRoEcuXL2fjxo1kZmYyf/58goKCeOCBB7wd+jX5LKuUo4U2GuvrSO0VgSUwuG1bgP5OSM802BqKv6+Jspp6zpXXeTsckXaTEB7IfTcmEejvS1GVnW15Jvxj+ng7LBHxgE4/Et1ms3Hy5En356ysLPbv309UVBS9e/d2v5gPHDiQgQMHsnz58mYv5uHh4TzyyCMsXryY6OhooqKiWLJkCcOGDWPKlCneeiyP2HmiGIAhcRZONji8HI10RSaTiZSYYFJigqm2N3C8sOrCjzO1lNfWU15bT+a5SsCH3j/+Kw/8by59t1fQKyKQ6BAz0SEWooPNRAWbiQ52fY4KNhMZ5K8SF9JtnS2twYD/z959x0dV5f8ff03apA8ppEFoEmoQEJCqgHQFdFlFQFlc664FEVzL2uKugoursguW1Z8rKCB+V0FRV5pSRIoQCL0TekJISC+Tdn5/RGYNEBJCkknC+/l43AfMvZ9755w7kzNnPnPuuQT5eODvqSs2aqOGviVJ9LScAgqKKj7dgoiU78SJE4wdO5bk5GQaNmxIjx492LBhA02bliQQnnrqKXJzc3n44YdJTU2le/fuLFu2DD+/un0T5tnrjgCQvWslnn3vc25hROqAX99gdPvJNN1gVOqVhn5Wbu/SmK/iTpKRV0jY3a+z4XgOHTo4u2QiUpVqfRJ98+bN9O/f3/H43A2GJkyYwOzZsyvUMX/rrbdwc3Nj9OjR5ObmMmDAAGbPno2ra/26ocnq/SVJ9E5hXix2clmk7vOxutG5SQCdmwRgLyziRGouCel5nM7IIyk9h/xiC5n2YnacTGfHyfRLHstigQBvD1oE+xDsXoBvp2Gk50N4Be5fIFLbHU/9ZT70QI0urK18rG54e7iSk19ESpZ+ZBapSgsWLLjkdovFQkxMDDExMTVToBpwIjWHpbsSAciM/QZQEl2kIjo2buC4wWiWvVA3+5Z6JdDHgzHdmrBo0yHO4M2ra5I5wx6eHNwaDzcNKBOpD2r9p1a/fv0wpuw5AyvSMff09GTmzJnMnDmzGkpYO+TkF/LToRQAujXydHJppL6xurlyTUNfrmnoC8Cp+H288didfLl8DV7BjTmVlktKlp2U7HzOZueTkp1PSpads9n5pOUWYAyc/WUbQNCQR1h2An48HU+TQG+uaehD0yAfdS6kTjqRmgtApEZU1WoNfa0cPZujKV1E5Ip9suEoxQZ6NGvAZ8lHnV0ckTqjoZ+ViAaenErLY8eJdHpeE+TsIolUKS8PV24MN3z0n6/x7zqS99ccZv2hFP4xphMtfvkuLSJ1V61PokvFrDuYQn5hMY0DvGhi03QCUv1Mfg7NAzzo0C70knGFRcWk5hSQlJnHwaQs1u44zMffrsG3eUdyC4rYdzqTfaczcXWx0DLEl+gIfxo18Kq1I9T3799fqf0CAwNp1KhRFZdGnK3I3Ye0nAIsQKMGSqLXZg39SpLopzM1D6uIVF5OfiELfj4OwF3XN+IzJ5dHpK7p1LgBp9IS2XEynW7NA3Bz0SAaqV9cLJD6/fu8Nvle3tlcctX2sH/8yORBrbivT3NNcypShymJXk98vzcJgAFtQrBYyh65L1LT3FxdaOhnpaGflfYRNlq4nuXvv3ueu99bjEtgJIfPZHPwTBbpuQXsS8xkX2ImNi932kf40y7cH58yLvOsTDK7sglwgMzUFMDC7bffXqn9fXx82bdvrxLp9UyeX8nr2dDPitW9fk0RVt+E2Uqu0kpMz0MT74hIZX0Re4L03AKaBHpzY0uNohW5XC0a+uJrdSPLXsiB01m0Dfd3dpFEqkXPSG9G9u7Inz7fxo8Hkpn23V6+2Z7AK7dF0zGygbOLd1EnT57k7NmzldpXg8bkaqAkej1gjGHlL0n0/m1CIP+0k0skUj4XC0Q08CKigRe9WwZxOsPOrlPp7DudSXpuAesOpbDhcArXNPQlupGNyICS0elXmswGyMnOvux98nIyAcNtE/9Cy/adLmvfMyeOMOevEzl79qw6FvWM/ZckemNN5VLrhfmXJNFTsvPxdNEVWyJy+YqKDR+ujQfgvj7NcXWpnVfNidRmri4WOjS2sf5QCnHH02gTVrdvMixyKWE2Tz6+93r+E3uCV77ZzY6T6dz69k/c3qUxTw1pTYh/7ZmK9+TJk7Ru3Ybs7KxK7e/l5c3ixV8RGnrpK9UvRgl4qSuURK8HdidkkJiRh5e7Kz1aBHFgr5LoUrdYLBbCbJ6E2Ty5sVVD9p/OZNepDBLS8ziQlMWBpCwaeLnToZGNouxsKpvM3h+7jsXvv0aevfLTOQSGRxLRvHWl95f6xe4XAWgql7rAx+rmGPmW7xPi7OKISB20fPdpjqTkYPNy546ujSnO1/RQIpURHeHPz/FnScq0cyotj+Dak0cUqXIWi4XRXSPp17ohr323l4VbTvJ57An+uyOBCb2a8eANLQjw8XB2MTl79izZ2VlMeOGfNGzc7LL2PbI7js//8RKDBg2q1HPrqm2pK5RErwd+2FMyCr1PVDCemk5A6jh3VxfaR9hoH2HjTKadHSfT2ZeYSVpuAT8eTMZCU4JvfYaCoJYER0Zd1s1Iz5w8Un0Fl6tOanY+hV6BAIQriV4nhNk8OZiURb7P5Y+QERH5fz8eBuCu7k3w9nAjK9/JBRKpo7w93Ggb5sfOUxnEHktlSCubs4skUu1C/Dx5c3Qnxvdoystf7ybueBrvrjrEJ+uPclf3JvyuV7NaMTCnYeNmhDZtRVpOPslZ+WTZC8nOLyTHXkROfiEFRYYiYyg2BleLBVcXC3bv1gQOfZSodtcSGRGKvzv4e0BFvqrrqm2pS5RErwd+PR+6SH3S0M/KTW1C6NMymP2nM9lxMp2kTDs+bfqwMwf2/HiYcJsnjRt4EWbzJMjHio/VtUI3JTXGUFBkyC8sJr+oZCkuNrhYLFgs4OXuireHq278ImWKPZoKQIC3O176AbNOCPNXEl1EKmfrsVQ2H03F3dXChF7NnF0ckTrvuiYB7DyVQXxyNmcb624lcvXo3CSARQ/3YsWeJN5cvp89CRn8a81h/t/aeIa2D+P2ro25oWVwjXwPNcaQlGlnb2Imq3ZnEHTLZJadsJAVf4giczn32vPBr+MQEoHEMyVrLECQrwfhNi8iA71oGuhzWQPgRGojJdHruOQsO9tOpAG/zIcuUg95uLkQ3chGdCMba9es5Ic16wnrPYrcYldOpOZyIjX3f7GuLvhYXfF0d8XDzQULYIDCIkNafiMaPfT/WJ0exPc/HKzQc3u5uxLs6wGFgXi1vJ4i3bdXfrH5lyR6RC0YMSIVc+7mona/cIwxFfrBTUQE4P/9WDIX+siOjQitRXPYitRVAT4eXNPQh0Nnstl2qnJzMIvUZvv377/k9jDgtf42Np30YPHeTLaftvPtjgS+3ZFAsK8HQ9qH0bdVQ3q1DMbXeuWpu5z8kpv57k3MYE9CJvsSM9mbmEFqToEjxjf6JtLzAQweri4E+Xpg83LH28MVHw83vD1ccXdzwdXFggUoNlBYVMzBvTv4+YcltB94OxbvQM7m5JOTX0RyVslo9h0n03G1WGgU4EWLYB9ahvjiUwV1EqlpetfWcUt3JWIMdGxsU4dergp+LvmkrZnDb4b2o1HbrpxIzeFkai5JWXbScwtKRpXnFAMFF9nbiluDMAp/lQi3WEoS7x5uLrhYLBhjKDaQW1BEUbEht6CI46m5QANCfvsia9INR7edol24Py2CfXDRTcWuWrFHS+5cH2FTEr2uCPW34upiocjdh/jkbFo09HV2kUSkDjh+NofvdiYAcP8NzZ1cGpH6o0vTAA6dyebAmVxcfYOcXRyRKpGZmgJYuP322y9rP/eQ5vheOxjfdn1Jxp95G48xb+Mx3FwsRIX60aGRP23C/GkU4EWjBl7YvNzxsbphdXOhsMiQX1RMem4ByVl2zmSWLEdTsjmcnM3hM9mcTMu96PO6WKB5sA/hXoZv5v6LW+64i1bXtMDP063CA05yDmSSvv4z2owcSnSXawHIsheSkJ7LqbQ84pOzSc8t4NjZHI6dzWH1/jM0DfKmXbg/nhqkJnWIkuh13LfbSzr0t1wb7uSSiNQsiwUCfTwI9PHg2sYNACgsLiYjt5Cc/ELyCorJLywGwGBwd3Xh5L6tLP3wdX7zyPNEd+yC9dyv6BfpHBhTMtVLWm4BZzLt7N5/kOOpubjZQolPziY+ORtfqxsdG9voGNkAd037clWxFxax7UQ6AOEN9ANmXeHm4kKov5VTaXlsOnJWSXQRqZB//xRPsYEbooJpG+7v7OKI1BvhNi8iGnhyKi0Pv64jnV0ckSqRl5MJGG6b+Bdatu90WfueOXGEOa+O59/friPe7s3q/Wc4mpLDnoQM9iRkXHHZgn2ttAnzo02YH63D/Ggb7k/LEF883V3ZsWMH8x75jIh77sLfy/2Kn8vX6kZUiB9RIX7cGBVMak4B8cnZHEzKIjEjjyMpORxJycHDxUKD/vdyOquQDlf8rCLVS0n0OuxMpp0Nh1MAGBatJLqIm4uLI7F+MbkHcslP2I+Pa1G5l49ZLBas7q6EursS6u9JUXwyG96byOhXPqYo8Bp2ncogy17IT4dSiDueRvcWQbQP99fI9EqIiYnh5ZdfLrUuNDSUxMREoOQHjZdffpn333+f1NRUunfvzttvv0379u2dUVwAdp5MJ7+wGJeCHBpUQSdTak6jBl6cSsvj5/hU7uzWxNnFEZFaxm63U1Dwv6vZ0nML+GzTcQDu7hpOVtb/pp349f9FpHK6Ng1kcdop/DrfzNnsfHz1+7bUE4HhkUQ0b335OxYX4Z99nDtateKOFsEkZRdy6Gw+B1PyOZlZQFJ2EcnZhWQXGPLPm2vUx91CkI8HYQE+NPS10jjAi2sa+tKioQ8tGvqW+T25ulksFsf39C5NA0jNzmd3QgZ7EzPJshdiu34UDy4+xaCDRfy+d3O6Nw/UtItSKymJXoct2ZVIsYGOkQ2IDNTNWERqgq9rEdEtg+nePJD9SVlsPJxCRl4hP+xNYsfJdAa1DaWhn9XZxaxz2rdvz4oVKxyPXV3/d6PO6dOn8+abbzJ79mxatWrFK6+8wqBBg9i3bx9+fn7OKC6bj5TMh27NSsBi6eiUMkjlNGrgxSZS2XTkrLOLIiK1jN1up0nTZiSdTnSss/UZR4Pe48g/fZihnYZfdL+iosKaKqJIvdMsyJuGPu6cAeZsPMELIwOdXaR6Zc2aNbz++uvExsaSkJDAokWLuO222xzbKzJYxW638+STT/Lpp5+Sm5vLgAEDeOedd2jcuLETalS/XfZUMBYXLK5umKJCMCVXYXt5ebN48VeEhvoChUAaZKZxMhNOXuJQ5c3hXpUCfDzo3TKYntcEsWXXflZs3IZXs84s3XWapbtO0zbcn9/3asbIThF4uruWf0CRGqIkeh327fZTAAzvoFHoIjXNzdWFduH+tAr1ZefJDDYcTuFMpp0Fm47RrVkg1zcL1Kj0y+Dm5kZYWNgF640xzJgxg+eee45Ro0YBMGfOHEJDQ5k/fz4PPfTQRY9nt9ux2+2OxxkZV37546+du6moR2ZClR5Xql+4zQtMMcfO5nAiNYfGAfoRWkRKFBQUkHQ6kZgFa7F6eWMvLGZe7Gnyiwy33NCFa36zpVR8Rmoy0+4ZTJHuOi5SaRaLha6Rfny39yzzN53k4ZtaE+SrASlVJTs7m44dO/L73/+e3/72txdsr8hglUmTJvH111+zYMECgoKCmDJlCsOHDyc2NrbUwBe5clcyFQzAkd1xfP6Plxg0aFCly5CTnV3pfS+Xi8VChA8kffYCX6/ZzLpkDxZuOcGehAye+mI7ry3Zy9jrI7m7R9OSPryIkymJXkclZeaxMb5kFN2wDhcmnkSkZri5uNApsgFRIb6s3JfEoTPZbIw/y8m0XIZFh+HtoWa2Ig4cOEBERARWq5Xu3bszdepUWrRoQXx8PImJiQwePNgRa7Va6du3L+vWrSsziT5t2rQLpoipKsYYthw9NxL9VLU8h1QfDzcXPLISyfeLYO2BZMZcryldRKQ0q5c3Vi8ftsWfJb/IEOjjQdvGQRdcWm7NzXFSCUXqlyYBVuwJByA8ig9+jOeZYW2cXaR6Y9iwYQwbNuyi2yoyWCU9PZ0PP/yQTz75hIEDBwIwd+5cIiMjWbFiBUOGDKmxulxNKjsVzJmTR6hsEn5/7DoWv/8aefa8y37eqtC0gQfDb+jAU0Nas2DTcT5ed4RT6Xm8vfIQ760+zND2YUzo1YxuzQI01Ys4je6EV0ct2ZmIMdC5SQONohOpBXysbtzSIZwh7UNxd7VwIjWXT38+TmK6czohdUn37t35+OOPWbp0KR988AGJiYn06tWLlJQUx7zooaGhpfb59ZzpF/Pss8+Snp7uWI4fP15l5Y1PziYlOx+rmwseOWeq7LhSczwzjgGw5oBePxG5uPzCYrYeL/nBVF/YRaqXxWIh/af5AHy8/ggpWfZy9pCqUN5gFYDY2FgKCgpKxURERBAdHe2IuRi73U5GRkapRWrOuST85SwBYRHOLjYADbw9+EPfa1jzVH/eu/s6ujcPpKjY8O2OBEb/az23/HMtc9YdIS0n39lFlauQhkjWUYvjSkY/3qKpXERqDYvFQpswfxr6WvlmRwJpOQV8seUE3Rs6u2S1269Hx3To0IGePXtyzTXXMGfOHHr06AFwQfLCGHPJhIbVasVqrZ5LgX/+5SqgjpENSFhfXC3PIdXLM/0YGY16sPZAMoVFxbi5akyBiJS2/WQaeQXFNPByp1Woc+6/IXI1yT20iXbhvuxOyGLWyoO8NMJ5N5C/WlxqsMrRo0cdMR4eHgQEBFwQc6kBLdV5VajUTxebk70R8HwvX+LbevDNvkxWHclhd0IGLy3exV+/2UX3xt4MbOFD/3bhNGsSWfOFlquOkuh10MGkLDYfTcXVxcKIjrXj10IR+Z8gXytjukWyZGciR1JyWHfagk+Hys9Ld7Xx8fGhQ4cOHDhwwHHjo8TERMLD//ejYVJS0gUd/ppybiqtHs0DWeSUEsiV8shOwublTnpuAdtPpnNdk4DydxKRq4a9sNhxA+luzQNx0Sh0kRrxRP8WPDB/O3M3HOWeXs1oGuTj7CJdFS53sEpFYp599lkmT57seJyRkUFkpJKccqHLuZmqi6cfPu3749thIIS24KdjOfx0LIeXlh5h2LXH+U23FvRt1RAvD83VL9VDSfQ66LNNJZeh928dQqi/p5NLIyIXY3VzZfi1EXy/9zR7EjIJvvlx/m9nOh06OLtktZ/dbmfPnj3ccMMNNG/enLCwMJYvX07nzp0ByM/PZ/Xq1fztb3+r8bIZY9h4OAWA65sHKYleR1kw9GkZzLc7Eliz/4yS6CJSStzJLOyFxQT6eNAmTKPQRWpKzxYB3NiqIWv2n+H1pfuYNe46ZxepXgsLK7m32qUGq4SFhZGfn09qamqp0ehJSUn06tWrzGNX51WhUr9U9maqafZi4jMtHM0oosDqw9J9qSzdF4uHmwtdmwbQu2UwvVsG06GRDVcX/RguVUNJ9DrGXljEF1tOAjCmm37JFanNXF0sDGobisnNYG+aBTd9eF/Uk08+yYgRI2jSpAlJSUm88sorZGRkMGHCBCwWC5MmTWLq1KlERUURFRXF1KlT8fb2Zty4cTVe1hOpuZxKz8PNxcJ1TRvU+PNL1bkhqiSJ/uOBZCYNbOXs4ohILeHqG8iOhGwAel0TpFHoIjXsmaFt+PHAGb7ZnsD9N6TRKbKBs4tUb1VksEqXLl1wd3dn+fLljB49GoCEhAR27tzJ9OnTnVZ2qX8u92aqEUA74OThfcz665/4wyvvsfl0ISdSc1l3KIV1h1J4fek+fDxcubZxAzo1aUCnyAZ0jmxAiAajSiUpiV7HrNidxNnsfEL9rfRrrYmWRWo7i8VCh0DDqref4Tfj5ju7OLXSiRMnGDt2LMnJyTRs2JAePXqwYcMGmjZtCsBTTz1Fbm4uDz/8MKmpqXTv3p1ly5bh51fzowM3/DIK/drGNrw99BFal93YquQzNO54Gum5Bdi83J1cIhGpDWy9xlJYbAi3edIiWFNJiNS0dhH+jOrcmC+2nGDqt3v47KEeurHvFcjKyuLgwYOOx/Hx8cTFxREYGEiTJk3KHaxis9m47777mDJlCkFBQQQGBvLkk0/SoUMHBg4c6KxqiThYLGA/uYcb/M5w73VRnMgoZHtiHnGJeew4nUd2fhHrD6ew/pfvcQDB3q5EBXkQFejBdc2C6d/xGmze+i4g5VMGoI5Z8MtULqO7RupGaCJ1iP3ELn0BKMOCBQsuud1isRATE0NMTEzNFOgSzs2H3r1FkJNLIlcqooEXLUN8OZiUxbqDyQzTjbpFrnrxKTn4dhwMQO9rgvW5LeIkUwa34tsdp/j5yFkWbzvFrZ0aObtIddbmzZvp37+/4/G5econTJjA7NmzKzRY5a233sLNzY3Ro0eTm5vLgAEDmD17Nq6umndanO+Sc6pbXHAPisTaqA0e4a2wRrTGPbgJyTmQnJPL+uO5fLwtHb46RLifG1GBHrT8JbneItADb/dL59wCAwNp1Ejt09VESfQ65PjZHH48kAyUJNFFRKRmbYwvGcHQvXmgk0siVeGGqGAOJmWxev8ZJdFFrnLGGKYuOYjFxZWmAVYaBXg5u0giV62IBl482r8lf1+2n1e+3UP/NiH4e2qUaGX069cPY0yZ2ysyWMXT05OZM2cyc+bMaiihyJW53DnVC4oh1V5Mqh1OnEnjdIYd94BwEjILScgsZM3RHACMKaYg5QT2E7vJOxpH3tHtFOdmlDqWj48v+/btVSL9KqIkeh0yd8NRoORLf2Sgt5NLIyJydTmVlsvxs7m4uljo2kxJ9Pqgf+sQPvrpCN/vTaK42OCi+xaIXLWW7ExkfXwqpjCfXs1DnF0ckatSVlaW4//jrgvl883HOXI2l+n/3cUzg1uWinV3d9eNK0XE4XLmVG/6y7/b1i5lzt8nMnziqzRo3oFUO6TaLZy1Q26RCx7BTfAIboJfp6EANPAwhHhBmJeBlCN88spEzp49qyT6VURJ9DoiM6+A+RtLpnL5fe9mzi2MiMhV6Nwo9OgIf3yt+visD3q0CMLP6saZTDtbj6fRpWmAs4skIk6Qk1/IX7/ZDUD6xi+w3TjFySUSuboUFuSDxYXw8NJXhXk260zonX/lkw3HmP6HURSciXdsCwkN49jRI0qki8gVCwmPILp96QR8tr2Q0xl5HE/N5XhqDilZ+aTlW0jLh/3pFtxdmhN08yQ2nsghqk0Rnu6a3uhqoCxAHfHZpuNk2gtpGeJLv1YaHSMiUtM2HtZ86PWNh5sL/duEsHjbKZbtTlQSXeQqNeuHg5xKzyPCZuXYhs8BJdFFalJRYSGYYp77ZCW+/rZS25btO8vhlDyufew9ftMhGFcXC/bcHGLG9KGgoEBJdBGpFj5WN1o09KVFQ1+gJKl+IjWXY2dziE/OJregCN8OA3lldTJvrl9O/zYh/KZTI/q2boi77l9Yb+mVrQPyCor415rDADxwQ3Ndbi4i4gQbDms+9PpocPtQAJbtOn3JOUNFpH7acSKd93/pZz89uCWm0O7kEolcvTw8vbF6+ZRabmobjtXNheTsAnactv+yXlObikjN8rG60TrMj0HtQrn/hub0Cy8mY/Nigr1dyckv4tvtCdz/8WZ6TP2emMW72HY8Td8t6iGNRK8D5m08xplMO40aePGbzo2dXRwRkatOfHI2R1JycHe1cL2S6PVKv9YheLi5EJ+cze6EDNpH2MrfSUTqhbyCIib/XxyFxYZbOoRzUytdaSRS2/hY3ejXuiFLd53m5yNnadHQF39lMUTEiVwsFhp6Qer37/PMHwZjCWrKmqM5rD6STUp2PrPXHWH2uiM09nejf3Mf+jX3IcTnwoYrMDBQ86nXMfr4qeWy7YW8u+oQAI/e1BIPN108ICJS01buTQKgW7NA/DzdnVwaqUq+Vjduah3Ckl2JfL0tQUl0kavIW8v3cyApi2BfK3+9LRqLyXd2kUTkIlqH+nEwKYtDZ7JZtjuR26L1g5eIOFdmagpg4Y47bv/fSosLns0749v+JryienAiAz7Zls4n29LJO7qd7N0ryd63DmPPBsDHx5d9+/YqkV6HKIley723+hDJWXaaBHrz2+s0Cl1ExBlW7itJot/URvekqI9Gdor4JYl+iqeHtsZi0bRpIvXdxsMpvP9jyTQur43qQKCPB1lZSqKL1EYWi4Wb2oRwKu0YyVn5rItPd3aRROQql5eTCRhum/gXWrbvdMH2gmI4kVXM0SwLZ/IseDa9Fs+m19Lw5omEe0MD+2n++9ofOHv2rJLodYiS6LXYybRcxxyNf765jUahi4g4Qba90HFT0X6tlUSvj/q3DsHHw5WTablsOZZKl6aaskekPjudkcejn27FGLijS2MGtgt1dpFEpBzeHm4Mbh/KV3Gn2H06B++2fZ1dJBERAsMjiWje+qLbmgK9gYy8AvYlZrIvMZOU7HxOZsNJwmj8yCfM2niW33klc33zQN2QtA5QEr2WMsbw4pc7sRcWc33zQIa0D3N2kURErkrf700iv6iYpkHeXNPQx9nFkWrg5eHKkOgwFm45yf9tOqEkukg9ll9YzMPztnAm006bMD9evrW9s4skIhXULMiH65sF8vORswQNfZRDZ7Lp6Ovr7GKJiFySv6c73ZoF0rVpAMlZ+exNzGD3yVTyvPxYejCLpQc30sDbnYFtQxnSPowbooLxdHd1drHlIpREr6W+3p7A93uTcHe18Opt0bq0XETESRbHnQJgxLURaovrsTHdmrBwy0m+3n6KF0a0w9eqLpJIffTXb3YTezQVP0833ru7C94e+lsXqUu6twjkZGoWJ9Phsf/bxZePBhDo4+HsYomIlMtisdDQz0pDv4a0cD3L29OeZ8SjL7M304O0nAI+jz3B57En8HSz0CnMk+siPLku3ItQX92UtLZQr7EWOpGaw/OLdgDwSP+WRIX6OblEIiJXp/ScAlbvL5kPfWSnCCeXRqpTt2YBtAj24XByNt9sO8WY65s4u0giUsXeW32ITzYcBeAfYzrRLFhXF4nUNS4WCwOjAvhwxTaOEcb9czYx/4EeGrUpInVKVloKeUe3858/3QYWF6yN2+HdqhferXqS59+QDSdy2XAiF0ilIOU4ufFbyY2PxX5sJ6bQrpuSOomS6LWMvbCIxz7dSkZeIZ0iG/BI/5bOLpKIyFXrvzsTKCgytAnzo5V+0KzXLBYLd3aLZNp3e5m97gh3dovUlQci9ciCn4/x2nd7gZJ7Dd3URvOgi9RVXh6unP5PDG0f+39sOZbG4wu28s5dXXB10ee2iNQNZd2Y1BhIzS8mMQdO51pIyQP3oEjcgyLx7zoSFwx+ljyOrl3Eqt2n+G1ImH5ErEFKotcixhie+WIHW4+l4efpxsyxnXVjARERJzHG8PH6khGLv+msX/ivBmO6NeEf3x9gb2ImPx1MoU9UsLOLJCJV4Ottp/jzL1d5/rHfNTx44zVOLpGIXKnCsyeYObo9D8zbwdJdp3nyP9t4/fZrcdP3ZxGpQy52Y9JGQPQv/7cXFHE8NZejKdkcPZtDZl4h6caLBr3H8dz3Sby8ahmdmjSgR4sgerQI5LomAUqqVyMl0WsJYwx/+WY3i7aexNXFwrt3dSEy0NvZxRIRuWptjD/LnoQMPN1duLNbpLOLIzXA5u3O6K6RzF53hH+tOaQkukg98NGPh/jLt3sxwO2dw3m4dyOysrIuGlvWehGpnbo0acA/x3bi0flbWbT1JPmFxcwY00kD0USk3rC6u9IyxJeWIb4YY0jLLWDXgXjWrF5DZNcBnM0t4uf4s/wcf5Z/fg8ebi50jjyXVA+ic5MGSqpXISXRa4HComJeWryLeRuPATBtVAd9cRcRcbLZPx0BYNR1jWngrRtWXS3u7d2cTzYc5ccDyWw8nEL3FkHOLpKIVIIxhjeX7mXmqsMAZMZ9xxvT3+UNU1zuvkVFhdVdPBGpIkOjw3nnLguPzN/CtzsSyCso4h9jO+sG4SJS71gsFgK8PWjhDwu/+Tvfvzoev4hr2HA4hQ2HU1h/KIWkTDsb48+yMf4s//j+AB6uLlzb2Mb1zQPp1jyQLk0D8Pd0d3ZV6ix9sjjZmUw7T3wWx9qDyVgs8OptHRjdVSMeRUScqaComMSMPADu6dXMuYWRGtUkyJsx3SKZt/EYry3Zy8I/9tLc6CJ10Ac/HnYk0DuFWen+x3uxPHzfJffJSE1m2j2DKSoyNVFEEakig9uH8f74rjw0N5bv9yYx6p2f+OB3XWkapJsHi0j9deDAAVpZLER7QXR7N+5rF0JCZiE7kuzsOJ3HjtN2zuYWsfloKpuPpsKqQ7hYoGWwF71bhXJ9s5LEerCv1dlVqTOURHeS4mLDV9tO8so3e0jJzsfT3YV/jOnMkPZhzi6aiMhVz93VhUUP92L/6SzdUPQq9PiAKBZuOcnWY2n8Z/MJRms6H5E65zedGzN/w1FiF7xJj5i/YvUqP5lmzc2pgZKJSHXo3yaEBQ/24A+fxLL/dBYjZ/3E67dfy2B9vxaReiYzNQWwcPvtt5cb69YgHGtkezwj22Nt3B73gAj2n8ll/5kjfPTLldctGvrQvXkg3ZoFcn3zQBoHaGrpsiiJXs1OnjzJ2bNnHY+Lig1rjubw+a4MjqUXANCsgTt/6hNMRPEZduw444gNDAykUSPdzE5ExBksFgutw5RAvxqF+Hvy+MAoXvtuL3/9Zjd9ooKJaODl7GKJyGVo6Gfliwe7Evz0t8BfnV0cEakB1zUJ4OvH+vDQJ7HEHU/jwU9iGdkxgpiR7Qn00dR8IlI/5OVkAobbJv6Flu07Xda+J44fZfHnC7j1gSmctHtxNL2Aw2eyOXwmm09/Pg5AsLcr0SFW2oVYaRNspYnNHVeXkitzr/Y8pZLo1ejkyZO0bt2G7JwcrI3a4t26N96te+PmVzK/arE9h/QN/+Hoz4tYXXzh3Is+Pr7s27f3qn6DioiIOMMDN7Rgyc5E4o6n8dAnsXz2UA+8PdRtEqlLrG66uaDI1SbU35MFD/ZgxooDvL/mEIu3neKng8k8MagVY7pF4qabjopIPREYHklE89aXtU9mago5e9fy6ZQfAXDx9MXauB3Wxu3xjIzGI6wlyTmw6kgOq46UXKFXXJBH/unD5CcexJJ6nK9nz6RH+xa4uFx9U17q22A1OXwmi/+3Kh6f4U8T0qwjxfzvw9rqYoiyGa7x98Sj7Xj4/fgL9j9z4ghz/jqRs2fPKokuIiJSw1xdLPxzTGdue+cndpxM56FPYnnv7i746EZlIiIitZqnuyvPDGvDsOgw/vT5NvafzuL5L3fyc/xZ/jm2s7OLJyLiNOWNYi8shpS8YpLzLJzJg1Q7FLp74tm4HZ6N2wEwbt5evD0OEBXiS8sQP6JCfYkK8aVVqB+NGnjV6+S6vglWkwNJWczfkY5Xs84UUzISpkVDH6JC/IgM9MLNRb+Ai4jUdqNGj+VMSmqZ2/fu31+DpZGa1iTIm/fHd+HuDzfy44Fk7nhvPTPGdNI8+SIiInVAx8gGfDvxBuZvPMaMFfsZe30TZxdJRKRWuNQo9l+3lMYY0nIKOJ2Zx+HjiezYvRu/Ju3IyS9i24l0tp1IL7Wv1dVCmK8bIb6uhPq4EeLrRoiPG6E+bjT0caVpeDCRjRtXY82q11WVRH/nnXd4/fXXSUhIoH379syYMYMbbrihWp6rW7NAbmzqzaL3X2fsfX+kTauWWCyX/2vM/kokaCqzj4hIXVCT7TjAmZRURj3zzzK3v/y7gdX23FI7dG0WyKcP9OC+OZvZnZDBLf/8kdu7RPK7nk1pE+ZXqc92katVTbfhIlK/ZWVlVSjut9cGM7JDCAF+ulnelVI7LnJ1sVgsBPh4EODjgeXUTlbMe4bTFgtuARG4B0fiEdwU96BI3IOb4B7YGDvuHE0v4Ogv94A8nyk+RrDfLsJs3gT7Wgn2tdLQz0qAtzs2r/8t/uf+7+2On9Wt1nznumqS6J999hmTJk3inXfeoXfv3vzrX/9i2LBh7N69myZNqv4X6UAfD/7UJ5hPHv4Om8cfL/sFv5y77ZYlJzu70vuKiNQ2Nd2Oy9XrYlcgWN198Gzaj7yAFnz68zE+/fkYjQO86BTZgI6NG9A0yJuIBl6E+Fnxsbrh7eFaJZ09YwwFRYaComIKiorJLywm/5d/z623FxaX2l5QVEx+kfnf/x3riikoNLi5WvB0d8XT3QVPN1c83V3x9ji3uOFt/dX/PVxxr+L5Y4uLDYXFhsLiYgqLDUVFv3pcZDAGLBZwcbFgAVwsFlwsgOXc/0seW7BgcfnfdmMgO7+QrLxCsuy/+vdXS15+EXmFxeTmF5FbUETeL0tuQRFxO/dQUFiMsbiAxeWXfy0YXLBgcHWxsGP6GDw0z3alqA0XkapSWJAPFhfCw8MrvE9IaBjHjh7BarVWY8nqN7XjIlc3x1Qwj7180algig1kFxSTXQjZhZBTaCG74Nz/Ia/IgsXFlZTsQlKyMyr8vC4W8HF3weblxvd/ugmrm2vVVeoyXTVJ9DfffJP77ruP+++/H4AZM2awdOlS3n33XaZNm3ZBvN1ux263Ox6np5dcopCRUfEX+twv4ycP7cGem3NZ5T22dztg6P2be2jUrOVl7Xt8/07Wf7uAo/t2OO6gezmSjsUDcPrIAXy8vC5r3+RTRwGIi4ur8MiAcw4ePAhU7nxdSZmvdH9n1RmurNyqc82fr6ysrAq3IefijDGX9Vz12eW041XRhgMUFhaSl132e9wUF19ye2Fh4SWfszqPX96xnVm26i7flZYt4fQZRj4x/aLbTqXlsnT1TxQFX8OxxByOJaaweNOFcRYLeHu44unmgovFgsViwdXFgssvSV9Xi4UiYygsMhQbQ1HxrxZTklQuLi5JoDubu6sL3h4ueLi6YDmXwLZYShLdvzx2sVgo/qXc5+pxLln+6/oUFpckyWsliy+4X2K7geysTPIq2LdSO16aM/vi6SlnsHqV31/JTEsp+Tf1DMWF9nKiLz++vjyHylR7nuOqLpMpZuI/P8fbt/wp1grsubzxx9tISUnB19e3QmVSG36hmu6LX0k+Berm90Zn5jXq4r7OfO6rsdzn9i2w55X5N+kBeFggwJ2SfvWvnuLI3h18O/ddXL1suPg0wNW7Aa7eNlx9bFisvrh4+uLi6YOL1QcXT19crT5Y3DwoBtLzIC2tgMMH9lf4vpHV0o6bq4Ddbjeurq5m4cKFpdZPnDjR3HjjjRfd56WXXjKAFi1atDh1OX78eE00k7Xe5bbjasO1aNFSWxa14+qLa9Gipe4uasNLqC+uRYuWurpUZTt+VYxET05OpqioiNDQ0FLrQ0NDSUxMvOg+zz77LJMnT3Y8Li4u5uzZswQFBVX48uyMjAwiIyM5fvw4/v7+la+Ak6ketYvqUXtUZx2MMWRmZhIREVGlx62rLrcdVxteNXQOdA5A5wAqdw7Ujv+Ps/riVxv9rdY8nfOaV1PnXG14aeqLX5n6VBeoX/WpT3WB+lWfK61LdbTjV0US/ZzzG2tjTJkNuNVqvWC+tAYNGlTqef39/ev8mxdUj9pG9ag9qqsONputyo9Z11W0HVcbXrV0DnQOQOcALv8cqB0vzVl98auN/lZrns55zauJc642/ELqi1+Z+lQXqF/1qU91gfpVnyupS1W341fFnZGCg4NxdXW94BfSpKSkC35JFRGR2kftuIhI3aU2XESkblM7LiJylSTRPTw86NKlC8uXLy+1fvny5fTq1ctJpRIRkYpSOy4iUnepDRcRqdvUjouIXEXTuUyePJnx48fTtWtXevbsyfvvv8+xY8f4wx/+UG3PabVaeemlly64jKmuUT1qF9Wj9qgPdahLarod1+urcwA6B6BzADoHVcEZffGrjd6nNU/nvObpnDuP+uKVV5/qAvWrPvWpLlC/6lMb62IxxhhnF6KmvPPOO0yfPp2EhASio6N56623uPHGG51dLBERqSC14yIidZfacBGRuk3tuIhcza6qJLqIiIiIiIiIiIiIyOW4KuZEFxERERERERERERGpDCXRRURERERERERERETKoCS6iIiIiIiIiIiIiEgZlEQXERERERERERERESmDkuhX6J133qF58+Z4enrSpUsXfvzxx0vGr169mi5duuDp6UmLFi147733aqikFzdt2jS6deuGn58fISEh3Hbbbezbt++S+6xatQqLxXLBsnfv3hoq9YViYmIuKE9YWNgl96ltrwVAs2bNLnpuH3nkkYvG15bXYs2aNYwYMYKIiAgsFgtffvllqe3GGGJiYoiIiMDLy4t+/fqxa9euco/7xRdf0K5dO6xWK+3atWPRokXVVIMSl6pHQUEBTz/9NB06dMDHx4eIiAh+97vfcerUqUsec/bs2Rd9jfLy8qq1LnLlLrd9r08q06bWddXVjtUl5Z2De+6554L3RY8ePZxT2GpQkT7R1fA+kLpl2rRpWCwWJk2a5Fin92nVO3nyJHfffTdBQUF4e3vTqVMnYmNjHdt1zqtWYWEhzz//PM2bN8fLy4sWLVrwl7/8heLiYkeMznn9Vhf64eX1lyvyHrXb7Tz22GMEBwfj4+PDyJEjOXHiRI2Uvyr6vhUpf2pqKuPHj8dms2Gz2Rg/fjxpaWk1WpeK9GFrS12qqj9al+pTl14fJdGvwGeffcakSZN47rnn2Lp1KzfccAPDhg3j2LFjF42Pj4/n5ptv5oYbbmDr1q38+c9/ZuLEiXzxxRc1XPL/Wb16NY888ggbNmxg+fLlFBYWMnjwYLKzs8vdd9++fSQkJDiWqKioGihx2dq3b1+qPDt27Cgztja+FgCbNm0qVYfly5cDcMcdd1xyP2e/FtnZ2XTs2JFZs2ZddPv06dN58803mTVrFps2bSIsLIxBgwaRmZlZ5jHXr1/PnXfeyfjx49m2bRvjx49n9OjRbNy4sbqqccl65OTksGXLFl544QW2bNnCwoUL2b9/PyNHjiz3uP7+/qVen4SEBDw9PaujClJFLrd9r48up02tD6qjHatryjsHAEOHDi31vvjvf/9bgyWsXhXpE10N7wOpOzZt2sT777/PtddeW2q93qdVKzU1ld69e+Pu7s53333H7t27eeONN2jQoIEjRue8av3tb3/jvffeY9asWezZs4fp06fz+uuvM3PmTEeMznn9VZf64ZfqL1fkPTpp0iQWLVrEggULWLt2LVlZWQwfPpyioqJqL3tV9H0rUv5x48YRFxfHkiVLWLJkCXFxcYwfP75G6wLl92FrS12qqj9al+oDdef1wUilXX/99eYPf/hDqXVt2rQxzzzzzEXjn3rqKdOmTZtS6x566CHTo0ePaivj5UpKSjKAWb16dZkxK1euNIBJTU2tuYKV46WXXjIdO3ascHxdeC2MMebxxx8311xzjSkuLr7o9tr4WgBm0aJFjsfFxcUmLCzMvPbaa451eXl5xmazmffee6/M44wePdoMHTq01LohQ4aYMWPGVHmZL+b8elzMzz//bABz9OjRMmM++ugjY7PZqrZwUu0ut32vby63Ta1vqqodq8su1gZOmDDB3HrrrU4pjzOc3ye6Gt8HUntlZmaaqKgos3z5ctO3b1/z+OOPG2P0Pq0OTz/9tOnTp0+Z23XOq94tt9xi7r333lLrRo0aZe6++25jjM55fVdX+uGX6i9X5D2alpZm3N3dzYIFCxwxJ0+eNC4uLmbJkiXVWvbzVabvW5Hy79692wBmw4YNjpj169cbwOzdu7dG6mJM+X3Y2loXYyrXH61L9TGmbr0+GoleSfn5+cTGxjJ48OBS6wcPHsy6desuus/69esviB8yZAibN2+moKCg2sp6OdLT0wEIDAwsN7Zz586Eh4czYMAAVq5cWd1FK9eBAweIiIigefPmjBkzhsOHD5cZWxdei/z8fObOncu9996LxWK5ZGxtey1+LT4+nsTExFLn22q10rdv3zL/VqDs1+hS+9S09PR0LBZLqZFIF5OVlUXTpk1p3Lgxw4cPZ+vWrTVTQKmUyrTv9dHltKn1XWXbsfpo1apVhISE0KpVKx544AGSkpKcXaRqc36fSO8DqU0eeeQRbrnlFgYOHFhqvd6nVW/x4sV07dqVO+64g5CQEDp37swHH3zg2K5zXvX69OnD999/z/79+wHYtm0ba9eu5eabbwZ0zuuzutYPL6u/XJH3aGxsLAUFBaViIiIiiI6Odnpdq6r869evx2az0b17d0dMjx49sNlsNV7HS/Vha3NdKtMfrUv1OaeuvD5KoldScnIyRUVFhIaGllofGhpKYmLiRfdJTEy8aHxhYSHJycnVVtaKMsYwefJk+vTpQ3R0dJlx4eHhvP/++3zxxRcsXLiQ1q1bM2DAANasWVODpS2te/fufPzxxyxdupQPPviAxMREevXqRUpKykXja/trAfDll1+SlpbGPffcU2ZMbXwtznfu7+Fy/lbO7Xe5+9SkvLw8nnnmGcaNG4e/v3+ZcW3atGH27NksXryYTz/9FE9PT3r37s2BAwdqsLRyOSrTvtc3l9um1neVbcfqm2HDhjFv3jx++OEH3njjDTZt2sRNN92E3W53dtGq3MX6RHofSG2xYMECYmNjmTZt2gXb9D6teocPH+bdd98lKiqKpUuX8oc//IGJEyfy8ccfAzrn1eHpp59m7NixtGnTBnd3dzp37sykSZMYO3YsoHNen9Wlfvil+ssVeY8mJibi4eFBQEBAmTHOUlXlT0xMJCQk5ILjh4SE1Ggdy+vD1ta6VLY/WpfqA3Xr9XGrsiNdpc4fIWyMueSo4YvFX2y9Mzz66KNs376dtWvXXjKudevWtG7d2vG4Z8+eHD9+nL///e/ceOON1V3Mixo2bJjj/x06dKBnz55cc801zJkzh8mTJ190n9r8WgB8+OGHDBs2jIiIiDJjauNrUZbL/Vup7D41oaCggDFjxlBcXMw777xzydgePXqUuilG7969ue6665g5cyb//Oc/q7uocgVq6/uvJlSmTb0aXM3vCYA777zT8f/o6Gi6du1K06ZN+fbbbxk1apQTS1b1LtUnutrfB+Jcx48f5/HHH2fZsmWXvL+K3qdVp7i4mK5duzJ16lSg5ArQXbt28e677/K73/3OEadzXnU+++wz5s6dy/z582nfvj1xcXFMmjSJiIgIJkyY4IjTOa+/6sJre6n+8rnvf5WpR22qa1WU/2LxNV3HyvZhnV2Xqu6P1tb61KXXRyPRKyk4OBhXV9cLftFISkq64Behc8LCwi4a7+bmRlBQULWVtSIee+wxFi9ezMqVK2ncuPFl79+jR49aNbLWx8eHDh06lFmm2vxaABw9epQVK1Zw//33X/a+te21OHeH8sv5Wzm33+XuUxMKCgoYPXo08fHxLF++/JKj0C/GxcWFbt261arXSEqrTPte35XXptZ3lW3H6rvw8HCaNm1a794XZfWJ9D6Q2iA2NpakpCS6dOmCm5sbbm5urF69mn/+85+4ubk53ot6n1ad8PBw2rVrV2pd27ZtHTc5VNtQ9f70pz/xzDPPMGbMGDp06MD48eN54oknHFdf6JzXX3W5H/7r/nJF3qNhYWHk5+eTmppaZoyzVFX5w8LCOH369AXHP3PmjFPreH4ftjbW5Ur6o3WpPhdTm18fJdErycPDgy5durB8+fJS65cvX06vXr0uuk/Pnj0viF+2bBldu3bF3d292sp6KcYYHn30URYuXMgPP/xA8+bNK3WcrVu3Eh4eXsWlqzy73c6ePXvKLFNtfC1+7aOPPiIkJIRbbrnlsvetba9F8+bNCQsLK3W+8/PzWb16dZl/K1D2a3SpfarbuQT6gQMHWLFiRaV+cDHGEBcXV6teIymtMu17fVdem1rfVbYdq+9SUlI4fvx4vXlflNcn0vtAaoMBAwawY8cO4uLiHEvXrl256667iIuLo0WLFnqfVrHevXuzb9++Uuv2799P06ZNAbUN1SEnJwcXl9KpCldXV4qLiwGd8/qsLvfDf91frsh7tEuXLri7u5eKSUhIYOfOnU6va1WVv2fPnqSnp/Pzzz87YjZu3Eh6erpT63h+H7Y21aUq+qN1qT4XU5tfH6rsFqVXoQULFhh3d3fz4Ycfmt27d5tJkyYZHx8fc+TIEWOMMc8884wZP368I/7w4cPG29vbPPHEE2b37t3mww8/NO7u7ubzzz93VhXMH//4R2Oz2cyqVatMQkKCY8nJyXHEnF+Pt956yyxatMjs37/f7Ny50zzzzDMGMF988YUzqmCMMWbKlClm1apV5vDhw2bDhg1m+PDhxs/Pr069FucUFRWZJk2amKeffvqCbbX1tcjMzDRbt241W7duNYB58803zdatW83Ro0eNMca89tprxmazmYULF5odO3aYsWPHmvDwcJORkeE4xvjx40vdcf2nn34yrq6u5rXXXjN79uwxr732mnFzcyt1t+WarEdBQYEZOXKkady4sYmLiyv192K328usR0xMjFmyZIk5dOiQ2bp1q/n9739v3NzczMaNG6utHnLlymvf67vy2tT6qCrasbruUucgMzPTTJkyxaxbt87Ex8eblStXmp49e5pGjRrVm3NQkT7R1fA+kLqnb9++5vHHH3c81vu0av3888/Gzc3NvPrqq+bAgQNm3rx5xtvb28ydO9cRo3NetSZMmGAaNWpkvvnmGxMfH28WLlxogoODzVNPPeWI0Tmvv+pKP7y8/nJF3qN/+MMfTOPGjc2KFSvMli1bzE033WQ6duxoCgsLq738VdH3rUj5hw4daq699lqzfv16s379etOhQwczfPjwGqtLRfuwtaUuVdUfrSv1qWuvj5LoV+jtt982TZs2NR4eHua6664zq1evdmybMGGC6du3b6n4VatWmc6dOxsPDw/TrFkz8+6779ZwiUsDLrp89NFHjpjz6/G3v/3NXHPNNcbT09MEBASYPn36mG+//bbmC/8rd955pwkPDzfu7u4mIiLCjBo1yuzatcuxvS68FucsXbrUAGbfvn0XbKutr8XKlSsv+j6aMGGCMcaY4uJi89JLL5mwsDBjtVrNjTfeaHbs2FHqGH379nXEn/Of//zHtG7d2ri7u5s2bdpU+48Dl6pHfHx8mX8vK1euLLMekyZNMk2aNDEeHh6mYcOGZvDgwWbdunXVWg+pGpdq3+u78trU+qgq2rG67lLnICcnxwwePNg0bNjQuLu7myZNmpgJEyaYY8eOObvYVaYifaKr4X0gdc/5SXS9T6ve119/baKjo43VajVt2rQx77//fqntOudVKyMjwzz++OOmSZMmxtPT07Ro0cI899xzpQau6JzXb3WhH15ef7ki79Hc3Fzz6KOPmsDAQOPl5WWGDx9eY32rquj7VqT8KSkp5q677jJ+fn7Gz8/P3HXXXSY1NbXG6lLRPmxtqUtV9UfrSn3q2utj+aVSIiIiIiIiIiIiIiJyHs2JLiIiIiIiIiIiIiJSBiXRRURERERERERERETKoCS6iIiIiIiIiIiIiEgZlEQXERERERERERERESmDkugiIiIiIiIiIiIiImVQEl1EREREREREREREpAxKoouIiIiIiIiIiIiIlEFJdJF6qFmzZsyYMcPZxRARcZqqaAf79evHpEmTqjy2rrBYLHz55ZfOLoaIiIiIyEXFxMTQqVMnx+N77rmH2267zWnlkfrNzdkFEKkp99xzD2lpaUoIiIhIhSxcuBB3d/dKxTZr1oxJkybVicR6TEwMX375JXFxcc4uioiIiIhIpf3jH//AGOPsYkg9pSS6yGXKz8/Hw8PDac9fUFBQ4aSOiIhUXmBgYLXEioiIiIhI1bPZbM4ugtRjms5FqkW/fv2YOHEiTz31FIGBgYSFhRETEwPAkSNHsFgspUa8paWlYbFYWLVqFQCrVq3CYrGwdOlSOnfujJeXFzfddBNJSUl89913tG3bFn9/f8aOHUtOTo7jOJ9//jkdOnTAy8uLoKAgBg4cSHZ2NjExMcyZM4evvvoKi8VS6rl27NjBTTfd5NjnwQcfJCsry3HMc5cDTZs2jYiICFq1agXAyZMnufPOOwkICCAoKIhbb72VI0eOXLDfyy+/TEhICP7+/jz00EPk5+c7Yi423UCnTp0c5wpKLqd/7733uPXWW/Hx8eGVV14BYPHixXTt2hVPT0+Cg4MZNWpUqePk5ORw77334ufnR5MmTXj//fdLbX/66adp1aoV3t7etGjRghdeeIGCggLH9m3bttG/f3/8/Pzw9/enS5cubN682bF93bp13HjjjXh5eREZGcnEiRPJzs52bH/nnXeIiorC09OT0NBQbr/9dkSk9nNG+/3111/ToEEDiouLAYiLi8NisfCnP/3J8TwPPfQQY8eOdTwurw0CyMzMZNy4cfj6+hIREcHMmTMd28aOHcuYMWNKxRcUFBAcHMxHH33kOBe/Hkl+qXbt17H9+vXj6NGjPPHEE47PHICjR48yYsQIAgIC8PHxoX379vz3v/+t9HkDsNvtTJw4kZCQEDw9PenTpw+bNm1ybD933O+//56uXbvi7e1Nr1692LdvHwCzZ8/m5ZdfZtu2bY6yzp4927F/cnIyv/nNb/D29iYqKorFixcjIuJsS5YsoU+fPjRo0ICgoCCGDx/OoUOHHNvXrVtHp06d8PT0pGvXrnz55ZcXfH7t3r2bm2++GV9fX0JDQxk/fjzJyclOqI2ISN1QVr6lIrkPYwzTp0+nRYsWeHl50bFjRz7//HPH9vL6rOe89tprhIaG4ufnx3333UdeXl6p7edP53Kp7zbn7N27lz59+uDp6Um7du1YsWKFpjWUizMi1aBv377G39/fxMTEmP3795s5c+YYi8Vili1bZuLj4w1gtm7d6ohPTU01gFm5cqUxxpiVK1cawPTo0cOsXbvWbNmyxbRs2dL07dvXDB482GzZssWsWbPGBAUFmddee80YY8ypU6eMm5ubefPNN018fLzZvn27efvtt01mZqbJzMw0o0ePNkOHDjUJCQkmISHB2O12k52dbSIiIsyoUaPMjh07zPfff2+aN29uJkyY4CjbhAkTjK+vrxk/frzZuXOn2bFjh8nOzjZRUVHm3nvvNdu3bze7d+8248aNM61btzZ2u73UfnfeeafZuXOn+eabb0zDhg3Nn//8Z8exmzZtat56661S565jx47mpZdecjwGTEhIiPnwww/NoUOHzJEjR8w333xjXF1dzYsvvmh2795t4uLizKuvvlrquIGBgebtt982Bw4cMNOmTTMuLi5mz549jpi//vWv5qeffjLx8fFm8eLFJjQ01Pztb39zbG/fvr25++67zZ49e8z+/fvN//3f/5m4uDhjjDHbt283vr6+5q233jL79+83P/30k+ncubO55557jDHGbNq0ybi6upr58+ebI0eOmC1btph//OMfl/9GEpEa54z2Oy0tzbi4uJjNmzcbY4yZMWOGCQ4ONt26dXM8T6tWrcy7775rjCm/DTKmpB308/Mz06ZNM/v27TP//Oc/jaurq1m2bJkxxpivv/7aeHl5mczMTMc+X3/9tfH09DTp6emOc/H4448bY8pv134dm5KSYho3bmz+8pe/OD5zjDHmlltuMYMGDTLbt283hw4dMl9//bVZvXp1pc+bMcZMnDjRREREmP/+979m165dZsKECSYgIMCkpKSUOm737t3NqlWrzK5du8wNN9xgevXqZYwxJicnx0yZMsW0b9/eUdacnBxjTMnnT+PGjc38+fPNgQMHzMSJE42vr6/j2CIizvL555+bL774wuzfv99s3brVjBgxwnTo0MEUFRWZjIwMExgYaO6++26za9cu89///te0atWq1OfXqVOnTHBwsHn22WfNnj17zJYtW8ygQYNM//79nVsxEZFa6lL5lorkPv785z+bNm3amCVLlphDhw6Zjz76yFitVrNq1SpjTPl9VmOM+eyzz4yHh4f54IMPzN69e81zzz1n/Pz8TMeOHR0xEyZMMLfeeqvj8aW+2xhjTFFRkWndurUZNGiQiYuLMz/++KO5/vrrDWAWLVpUredU6h4l0aVa9O3b1/Tp06fUum7dupmnn376spIwK1ascMRMmzbNAObQoUOOdQ899JAZMmSIMcaY2NhYA5gjR45ctEznN6bGGPP++++bgIAAk5WV5Vj37bffGhcXF5OYmOjYLzQ01JEcN8aYDz/80LRu3doUFxc71tntduPl5WWWLl3q2C8wMNBkZ2c7Yt59913j6+trioqKjDEVT6JPmjSpVEzPnj3NXXfdddF6njvu3Xff7XhcXFxsQkJCHAmoi5k+fbrp0qWL47Gfn5+ZPXv2RWPHjx9vHnzwwVLrfvzxR+Pi4mJyc3PNF198Yfz9/U1GRkaZzycitZMz2m9jjLnuuuvM3//+d2OMMbfddpt59dVXjYeHh8nIyDAJCQkGcPwQWF4bZExJOzh06NBSMXfeeacZNmyYMcaY/Px8ExwcbD7++GPH9rFjx5o77rij1Lk4lxgvr137dey55z+/fe/QoYOJiYm56P6VOW9ZWVnG3d3dzJs3z7E9Pz/fREREmOnTp5d53G+//dYAjnP10ksvlfrycQ5gnn/+ecfjrKwsY7FYzHfffXfROoiIOEtSUpIBzI4dO8y7775rgoKCHG2cMcZ88MEHpT6/XnjhBTN48OBSxzh+/LgBzL59+2qy6CIidcKl8i3l5T6ysrKMp6enWbduXan97rvvPjN27FhjTMX6rD179jR/+MMfSh2je/fu5SbRy/puY4wx3333nXFzc3MMejHGmOXLlyuJLhel6Vyk2lx77bWlHoeHh5OUlFTpY4SGhjqmHvn1unPH7NixIwMGDKBDhw7ccccdfPDBB6Smpl7y+Hv27KFjx474+Pg41vXu3Zvi4uJSlw116NCh1DzosbGxHDx4ED8/P3x9ffH19SUwMJC8vLxSl5J27NgRb29vx+OePXuSlZXF8ePHL+s8dO3atdTjuLg4BgwYcMl9fn3uLBYLYWFhpc7/559/Tp8+fQgLC8PX15cXXniBY8eOObZPnjyZ+++/n4EDB/Laa6+VqldsbCyzZ8921N3X15chQ4ZQXFxMfHw8gwYNomnTprRo0YLx48czb968UtMPiEjtVtPtN5Rcarlq1SqMMfz444/ceuutREdHs3btWlauXEloaCht2rQBym+DzunZs2epMvXs2ZM9e/YA4O7uzh133MG8efMAyM7O5quvvuKuu+66aH2qol2bOHEir7zyCr179+all15i+/btV3TeDh06REFBAb1793Zsd3d35/rrr3fU82LHDQ8PB6jQa/rr/Xx8fPDz87vs94KISFU7dOgQ48aNo0WLFvj7+9O8eXMAjh07xr59+7j22mvx9PR0xF9//fWl9o+NjWXlypWlPkfOfcb8us8rIiIlysu3XCr3sXv3bvLy8hg0aFCpdvfjjz++oM29VJ91z549F+3fl+dS32327dtHZGQkYWFhju3nf2aInKMkulSb829+abFYKC4uxsWl5G1nfnXH5F/PxV3WMSwWS5nHBHB1dWX58uV89913tGvXjpkzZ9K6detSCZXzGWMcc9We79frf51kByguLqZLly7ExcWVWvbv38+4cePKfL7zj+3i4nLBnaMvdi7Of34vL69yn+NS52rDhg2MGTOGYcOG8c0337B161aee+65UnOWxcTEsGvXLm655RZ++OEH2rVrx6JFixz1f+ihh0rVfdu2bRw4cIBrrrkGPz8/tmzZwqeffkp4eDgvvvgiHTt2JC0trdxyi4jz1XT7DSVJ9B9//JFt27bh4uJCu3bt6Nu3L6tXr2bVqlX07dvXEVteG3Qpv27b77rrLlasWEFSUhJffvklnp6eDBs27KL7VUW7dv/993P48GHGjx/Pjh076Nq1a6l52uHyztu51+H8z7GLfbadf1yg1PkvS3mvm4iIM4wYMYKUlBQ++OADNm7cyMaNGwHIz8+/aBt4fn+7uLiYESNGXNCXP3DgADfeeGON1UNEpK6oTL4FSvcdv/3221Jt7u7du0vNiw6V77NeSnn96bJyQiLnUxJdalzDhg0BSEhIcKz79U1+roTFYqF37968/PLLbN26FQ8PD0fi18PDg6KiolLx7dq1Iy4urtTN6H766SdcXFwcNxC9mOuuu44DBw4QEhJCy5YtSy2/vhv0tm3byM3NdTzesGEDvr6+NG7cGCg5F78+DxkZGeV+CEHJL6nff/99uXFl+emnn2jatCnPPfccXbt2JSoqiqNHj14Q16pVK5544gmWLVvGqFGjHDfbu+6669i1a9cFdW/ZsqVjxL6bmxsDBw5k+vTpbN++nSNHjvDDDz9Uuswi4nzV2X7feOONZGZmMmPGDPr27YvFYqFv376sWrXqgiR6RdogKGlzf23Dhg2OkYYAvXr1IjIyks8++4x58+Zxxx13lNr/fJfTrl3sMwcgMjKSP/zhDyxcuJApU6bwwQcfVPgcne9cfdeuXetYV1BQwObNm2nbtm2Fj1NWWUVEaqOUlBT27NnD888/z4ABA2jbtm2p0ZBt2rRh+/bt2O12x7rNmzeXOsa5z5FmzZpd8Dly/uAVEREpcal8y6VyH+3atcNqtXLs2LEL2tzIyMgKP3/btm0v2r+/Em3atOHYsWOcPn3asW7Tpk1XdEypv5RElxrn5eVFjx49eO2119i9ezdr1qzh+eefv+Ljbty4kalTp7J582aOHTvGwoULOXPmjCOR0KxZM7Zv386+fftITk6moKCAu+66C09PTyZMmMDOnTtZuXIljz32GOPHjyc0NLTM57rrrrsIDg7m1ltv5ccffyQ+Pp7Vq1fz+OOPc+LECUdcfn4+9913H7t37+a7777jpZde4tFHH3WM5rzpppv45JNP+PHHH9m5cycTJkzA1dW13Lq+9NJLfPrpp7z00kvs2bOHHTt2MH369Aqfq5YtW3Ls2DEWLFjAoUOH+Oc//+n48APIzc3l0UcfZdWqVRw9epSffvqJTZs2Oc7l008/zfr163nkkUcco3YWL17MY489BsA333zDP//5T+Li4jh69Cgff/wxxcXFtG7dusJlFJHap7rabwCbzUanTp2YO3cu/fr1A0oS61u2bGH//v2OdVB+G3TOTz/9xPTp09m/fz9vv/02//nPf3j88ccd2y0WC+PGjeO9995j+fLl3H333WWW73LbtWbNmrFmzRpOnjxJcnIyAJMmTWLp0qXEx8ezZcsWfvjhh8tKdp/Px8eHP/7xj/zpT39iyZIl7N69mwceeICcnBzuu+++Ch+nWbNmxMfHExcXR3JycqnEk4hIbRMQEEBQUBDvv/8+Bw8e5IcffmDy5MmO7ePGjaO4uJgHH3yQPXv2sHTpUv7+978D/xvV+Mgjj3D27FnGjh3Lzz//zOHDh1m2bBn33nuvflQUEbmI8vItl8p9+Pn58eSTT/LEE08wZ84cDh06xNatW3n77beZM2dOhcvw+OOP8+9//5t///vf7N+/n5deeoldu3ZdUb0GDRrENddcw4QJE9i+fTs//fQTzz33HHDh1Z4iSqKLU/z73/+moKCArl278vjjj/PKK69c8TH9/f1Zs2YNN998M61ateL555/njTfecFya/8ADD9C6dWu6du1Kw4YN+emnn/D29mbp0qWcPXuWbt26cfvttzNgwABmzZp1yefy9vZmzZo1NGnShFGjRtG2bVvuvfdecnNz8ff3d8QNGDCAqKgobrzxRkaPHs2IESOIiYlxbH/22We58cYbGT58ODfffDO33XZbuVMRQMm0B//5z39YvHgxnTp14qabbnJcxloRt956K0888QSPPvoonTp1Yt26dbzwwguO7a6urqSkpPC73/2OVq1aMXr0aIYNG8bLL78MlIyEX716NQcOHOCGG26gc+fOvPDCC445yxo0aMDChQu56aabaNu2Le+99x6ffvop7du3r3AZRaR2qo72+5z+/ftTVFTkSJgHBATQrl07GjZsWCrZXF4bdM6UKVOIjY2lc+fO/PWvf+WNN95gyJAhpWLuuusudu/eTaNGjUrNLX6+y23X/vKXv3DkyBGuueYaxwj+oqIiHnnkEdq2bcvQoUNp3bo177zzTmVOlcNrr73Gb3/7W8aPH891113HwYMHWbp0KQEBARU+xm9/+1uGDh1K//79adiwIZ9++ukVlUlEpDq5uLiwYMECYmNjiY6O5oknnuD11193bPf39+frr78mLi6OTp068dxzz/Hiiy8COOZJj4iI4KeffqKoqIghQ4YQHR3N448/js1mcwx2ERGR/ykv31Je7uOvf/0rL774ItOmTaNt27YMGTKEr7/+2nFPi4q48847efHFF3n66afp0qULR48e5Y9//OMV1cvV1ZUvv/ySrKwsunXrxv333+8YJPTre2uIAFjM+RPEiUiVuOeee0hLS+PLL790dlFERERERK5a8+bN4/e//z3p6ekVureQiIhUXH3Lffz000/06dOHgwcPVmiQo1w93JxdABEREREREZGq8vHHH9OiRQsaNWrEtm3bePrppxk9erQS6CIicoFFixbh6+tLVFQUBw8e5PHHH6d3795KoMsFlEQXERERERGReiMxMZEXX3yRxMREwsPDueOOO3j11VedXSwREamFMjMzeeqppzh+/DjBwcEMHDiQN954w9nFklpI07mIiIiIiIiIiIiIiJRBd00RERERERERERERESmDkugiIiIiIiIiIiIiImVQEl1EREREREREREREpAxKoouIiIiIiIiIiIiIlEFJdBERERERERERERGRMiiJLiIiIiIiIiIiIiJSBiXRRURERERERERERETKoCS6iIiIiIiIiIiIiEgZlEQXERERERERERERESmDkugiIiIiIiIiIiIiImVQEl1EREREREREREREpAxKoouIiIiIiIiIiIiIlEFJdBERERERERERERGRMiiJLiIiIiIiIiIiIiJSBiXRRURERERERERERETKoCS6iIiIiIiIiIiIiEgZlEQXERERERERERERESmDkugiIiIiIiIiIiIiImVwc3YB6ori4mJOnTqFn58fFovF2cURkXrOGENmZiYRERG4uOj3ziulNlxEapra8aqldlxEapLa8KqlNlxEalp1tONKolfQqVOniIyMdHYxROQqc/z4cRo3buzsYtR5asNFxFnUjlcNteMi4gxqw6uG2nARcZaqbMeVRK8gPz8/oOTk+/v7O7k0IlLfZWRkEBkZ6Wh75MqoDReRmqZ2vGqpHReRmqQ2vGqpDReRmlYd7biS6BV07pIjf39/NfoiUmN0uWPVUBsuIs6idrxqqB0XEWdQG1411IaLiLNUZTuuyb1ERERERERERERERMqgJLqIiIiIiIiIiIiISBmURBcRERERERERERERKYOS6CIiUmlr1qxhxIgRREREYLFY+PLLLx3bCgoKePrpp+nQoQM+Pj5ERETwu9/9jlOnTpU6ht1u57HHHiM4OBgfHx9GjhzJiRMnSsWkpqYyfvx4bDYbNpuN8ePHk5aWVgM1FBEREREREZGrnZLoIiJSadnZ2XTs2JFZs2ZdsC0nJ4ctW7bwwgsvsGXLFhYuXMj+/fsZOXJkqbhJkyaxaNEiFixYwNq1a8nKymL48OEUFRU5YsaNG0dcXBxLlixhyZIlxMXFMX78+Gqvn4iIiIiIiIiIm7MLICIiddewYcMYNmzYRbfZbDaWL19eat3MmTO5/vrrOXbsGE2aNCE9PZ0PP/yQTz75hIEDBwIwd+5cIiMjWbFiBUOGDGHPnj0sWbKEDRs20L17dwA++OADevbsyb59+2jduvUFz22327Hb7Y7HGRkZVVVlEREREREREbnKaCS6iIjUmPT0dCwWCw0aNAAgNjaWgoICBg8e7IiJiIggOjqadevWAbB+/XpsNpsjgQ7Qo0cPbDabI+Z806ZNc0z9YrPZiIyMrL5KiYiIiIiIiEi9piS6iIjUiLy8PJ555hnGjRuHv78/AImJiXh4eBAQEFAqNjQ0lMTEREdMSEjIBccLCQlxxJzv2WefJT093bEcP368imsjIiIiIiIiIlcLTeciIiLVrqCggDFjxlBcXMw777xTbrwxBovF4nj86/+XFfNrVqsVq9Va+QKLiIiIiIiIiPxCSXSplbKzs8nLy7usfTw9PfHx8ammEolIZRUUFDB69Gji4+P54YcfHKPQAcLCwsjPzyc1NbXUaPSkpCR69erliDl9+vQFxz1z5gyhoaHVXwGpt44dO0ZycnKVHS84OJgmTZpU2fFEpHYrLCykuLi4wvEuLi64uenrl4hIRamvJiK1iXpxUutkZ2fTrHlzks+cuaz9ghs25Eh8vBLpIrXIuQT6gQMHWLlyJUFBQaW2d+nSBXd3d5YvX87o0aMBSEhIYOfOnUyfPh2Anj17kp6ezs8//8z1118PwMaNG0lPT3ck2kUu17Fjx2jTti25OTlVdkwvb2/27tmjL2ciV4HCwkKaNG1GwqmTFd4nLDyCQwcPVDiRrqS7iFzN1FcTkdpGvTKpdfLy8kg+c4ZnP1qKt5+tQvvkZKYz7fdDyMvLUxJdpAZlZWVx8OBBx+P4+Hji4uIIDAwkIiKC22+/nS1btvDNN99QVFTkmMM8MDAQDw8PbDYb9913H1OmTCEoKIjAwECefPJJOnTowMCBAwFo27YtQ4cO5YEHHuBf//oXAA8++CDDhw+ndevWNV9pqReSk5PJzcnhrqdfJ7TJNVd8vNPHDjHvb38iOTlZX8xErgLFxcUknDrJtK+24OrmXm58vj2X53/b47L6qeERjTh29IgS6SJyVVJfTURqG/XIpNby9rPh4x9QfqCIOM3mzZvp37+/4/HkyZMBmDBhAjExMSxevBiATp06ldpv5cqV9OvXD4C33noLNzc3Ro8eTW5uLgMGDGD27Nm4uro64ufNm8fEiRMZPHgwACNHjmTWrFnVWDO5WoQ2uYbGUe2dXQwRqaNc3dxxc/coN66woABMMa8s3ISH1bPc+KLCAp699brLmi5GRKQ+Ul9NRGoLJdFFRKTS+vXrhzGmzO2X2naOp6cnM2fOZObMmWXGBAYGMnfu3EqVUUREpLaoaNJdRERERGoXF2cXQERERERERERERESktlISXURERERERESkDpk2bRrdunXDz8+PkJAQbrvtNvbt21cqxhhDTEwMEREReHl50a9fP3bt2lUqxm6389hjjxEcHIyPjw8jR47kxIkTpWJSU1MZP348NpsNm83G+PHjSUtLq+4qiojUKkqii4iIiIiIiIjUIatXr+aRRx5hw4YNLF++nMLCQgYPHkx2drYjZvr06bz55pvMmjWLTZs2ERYWxqBBg8jMzHTETJo0iUWLFrFgwQLWrl1LVlYWw4cPp6ioyBEzbtw44uLiWLJkCUuWLCEuLo7x48fXaH1FRJxNc6KLiIiIiIiIiNQhS5YsKfX4o48+IiQkhNjYWG688UaMMcyYMYPnnnuOUaNGATBnzhxCQ0OZP38+Dz30EOnp6Xz44Yd88sknDBw4EIC5c+cSGRnJihUrGDJkCHv27GHJkiVs2LCB7t27A/DBBx/Qs2dP9u3bR+vWrS8om91ux263Ox5nZGRU12kQEakxGokuIiIiIiIiIlKHpaenAxAYGAhAfHw8iYmJDB482BFjtVrp27cv69atAyA2NpaCgoJSMREREURHRzti1q9fj81mcyTQAXr06IHNZnPEnG/atGmOqV9sNhuRkZFVW1kRESdQEl1EREREREREpI4yxjB58mT69OlDdHQ0AImJiQCEhoaWig0NDXVsS0xMxMPDg4CAgEvGhISEXPCcISEhjpjzPfvss6SnpzuW48ePX1kFRURqAU3nIiIiIiIiIiJSRz366KNs376dtWvXXrDNYrGUemyMuWDd+c6PuVj8pY5jtVqxWq0VKbqISJ2hkegiIiIiIiIiInXQY489xuLFi1m5ciWNGzd2rA8LCwO4YLR4UlKSY3R6WFgY+fn5pKamXjLm9OnTFzzvmTNnLhjlLiJSnymJLiIiIiIiIiJShxhjePTRR1m4cCE//PADzZs3L7W9efPmhIWFsXz5cse6/Px8Vq9eTa9evQDo0qUL7u7upWISEhLYuXOnI6Znz56kp6fz888/O2I2btxIenq6I0ZE5Gqg6VxEREREREREROqQRx55hPnz5/PVV1/h5+fnGHFus9nw8vLCYrEwadIkpk6dSlRUFFFRUUydOhVvb2/GjRvniL3vvvuYMmUKQUFBBAYG8uSTT9KhQwcGDhwIQNu2bRk6dCgPPPAA//rXvwB48MEHGT58OK1bt3ZO5UVEnEBJdBERERERERGROuTdd98FoF+/fqXWf/TRR9xzzz0APPXUU+Tm5vLwww+TmppK9+7dWbZsGX5+fo74t956Czc3N0aPHk1ubi4DBgxg9uzZuLq6OmLmzZvHxIkTGTx4MAAjR45k1qxZ1VtBEZFaRkl0EREREREREZE6xBhTbozFYiEmJoaYmJgyYzw9PZk5cyYzZ84sMyYwMJC5c+dWppgiIvWG5kQXERERERERERERESmDkugiIiIiInKBadOm0a1bN/z8/AgJCeG2225j3759pWLuueceLBZLqaVHjx6lYux2O4899hjBwcH4+PgwcuRITpw4UZNVERERERG5Ikqii4iIiIjIBVavXs0jjzzChg0bWL58OYWFhQwePJjs7OxScUOHDiUhIcGx/Pe//y21fdKkSSxatIgFCxawdu1asrKyGD58OEVFRTVZHRERERGRStOc6CIiIiIicoElS5aUevzRRx8REhJCbGwsN954o2O91WolLCzsosdIT0/nww8/5JNPPmHgwIEAzJ07l8jISFasWMGQIUOqrwIiIiIiIlVEI9FFRERERKRc6enpQMkN5n5t1apVhISE0KpVKx544AGSkpIc22JjYykoKGDw4MGOdREREURHR7Nu3boyn8tut5ORkVFqERERERFxFiXRRURERETkkowxTJ48mT59+hAdHe1YP2zYMObNm8cPP/zAG2+8waZNm7jpppuw2+0AJCYm4uHhQUBAQKnjhYaGkpiYWObzTZs2DZvN5lgiIyOrp2IiIiIiIhWg6VxEREREROSSHn30UbZv387atWtLrb/zzjsd/4+OjqZr1640bdqUb7/9llGjRpV5PGMMFoulzO3PPvsskydPdjzOyMhQIl1EREREnEYj0UVEREREpEyPPfYYixcvZuXKlTRu3PiSseHh4TRt2pQDBw4AEBYWRn5+PqmpqaXikpKSCA0NLfM4VqsVf3//UouIiIiIiLMoiS4iIiIiIhcwxvDoo4+ycOFCfvjhB5o3b17uPikpKRw/fpzw8HAAunTpgru7O8uXL3fEJCQksHPnTnr16lVtZRcRERERqUpOTaKvWbOGESNGEBERgcVi4csvvyy13RhDTEwMEREReHl50a9fP3bt2lUqxm6389hjjxEcHIyPjw8jR47kxIkTpWJSU1MZP368Y07F8ePHk5aWVs21ExERERGpux555BHmzp3L/Pnz8fPzIzExkcTERHJzcwHIysriySefZP369Rw5coRVq1YxYsQIgoOD+c1vfgOAzWbjvvvuY8qUKXz//fds3bqVu+++mw4dOjBw4EBnVk9EREREpMKcmkTPzs6mY8eOzJo166Lbp0+fzptvvsmsWbPYtGkTYWFhDBo0iMzMTEfMpEmTWLRoEQsWLGDt2rVkZWUxfPhwioqKHDHjxo0jLi6OJUuWsGTJEuLi4hg/fny1109EREREpK569913SU9Pp1+/foSHhzuWzz77DABXV1d27NjBrbfeSqtWrZgwYQKtWrVi/fr1+Pn5OY7z1ltvcdtttzF69Gh69+6Nt7c3X3/9Na6urs6qmoiIiIjIZXHqjUWHDRvGsGHDLrrNGMOMGTN47rnnHDclmjNnDqGhocyfP5+HHnqI9PR0PvzwQz755BPHSJa5c+cSGRnJihUrGDJkCHv27GHJkiVs2LCB7t27A/DBBx/Qs2dP9u3bR+vWrS/6/Ha7Hbvd7nickZFRlVUXEREREanVjDGX3O7l5cXSpUvLPY6npyczZ85k5syZVVU0EREREZEaVWvnRI+PjycxMZHBgwc71lmtVvr27cu6desAiI2NpaCgoFRMREQE0dHRjpj169djs9kcCXSAHj16YLPZHDEXM23aNMf0LzabjcjIyKquooiIiIiIiIiIiIjUcrU2iZ6YmAhAaGhoqfWhoaGObYmJiXh4eBAQEHDJmJCQkAuOHxIS4oi5mGeffZb09HTHcvz48Suqj4iIiIiIiIiIiIjUPU6dzqUiLBZLqcfGmAvWne/8mIvFl3ccq9WK1Wq9zNKKiIiIiIiIiIiISH1Sa0eih4WFAVwwWjwpKckxOj0sLIz8/HxSU1MvGXP69OkLjn/mzJkLRrmLiIiIiIiIiIiIiPxarU2iN2/enLCwMJYvX+5Yl5+fz+rVq+nVqxcAXbp0wd3dvVRMQkICO3fudMT07NmT9PR0fv75Z0fMxo0bSU9Pd8SIiIiIiIhUK4sLcScy+eDHw3z0Uzw/HjhDUfGlb94qIiIiIrWDU6dzycrK4uDBg47H8fHxxMXFERgYSJMmTZg0aRJTp04lKiqKqKgopk6dire3N+PGjQPAZrNx3333MWXKFIKCgggMDOTJJ5+kQ4cODBw4EIC2bdsydOhQHnjgAf71r38B8OCDDzJ8+HBat25d85UWEREREZGrTtDNk9hwNN3xeMuxNFKy8xl+bThuLrV2bJOIiIiI4OQk+ubNm+nfv7/j8eTJkwGYMGECs2fP5qmnniI3N5eHH36Y1NRUunfvzrJly/Dz83Ps89Zbb+Hm5sbo0aPJzc1lwIABzJ49G1dXV0fMvHnzmDhxIoMHDwZg5MiRzJo1q4ZqKSIiIiIiV7OjqXn4Rt+EBejfJgR3Fwvf703iaEoOm46k0rNFkLOLKCIiIiKX4NQker9+/TCm7EsYLRYLMTExxMTElBnj6enJzJkzmTlzZpkxgYGBzJ0790qKKiIiIiIictmKig1r40tGoF/byJcOjWwAuLpY+O/ORDYfOUtUiC/BvlZnFlNERERELkHXDYqISKWtWbOGESNGEBERgcVi4csvvyy13RhDTEwMEREReHl50a9fP3bt2lUqxm6389hjjxEcHIyPjw8jR47kxIkTpWJSU1MZP348NpsNm83G+PHjSUtLq+baiYiIXLnDZ7LIshdRmHWWrpH+jvUtQ3xpEexDsYF1h1KcWEIRqavK64tbLJaLLq+//rojpl+/fhdsHzNmTKnjqC8uIqIkuoiIXIHs7Gw6duxY5hRZ06dP580332TWrFls2rSJsLAwBg0aRGZmpiNm0qRJLFq0iAULFrB27VqysrIYPnw4RUVFjphx48YRFxfHkiVLWLJkCXFxcYwfP77a6yciInKldp7KACB7+zLcXf/39ctisdCnZTAA8cnZJGfZnVI+Eam7yuuLJyQklFr+/e9/Y7FY+O1vf1sq7oEHHigVd+5+cueoLy4i4uTpXEREpG4bNmwYw4YNu+g2YwwzZszgueeeY9SoUQDMmTOH0NBQ5s+fz0MPPUR6ejoffvghn3zyieOG0HPnziUyMpIVK1YwZMgQ9uzZw5IlS9iwYQPdu3cH4IMPPqBnz57s27dPN4kWEZFaKyO3gGNncwDI2r4ceLLU9gAfD1qG+HIwKYvYo6kMaR/mhFKKSF11qb44QFhY6Tblq6++on///rRo0aLUem9v7wtiz1FfXESkhEaii4hItYiPjycxMdFxU2cAq9VK3759WbduHQCxsbEUFBSUiomIiCA6OtoRs379emw2m6PTDtCjRw9sNpsj5nx2u52MjIxSi4iISE07kJQFQIS/B4Xppy8a07VpQEns6SxyC4ouGiMicqVOnz7Nt99+y3333XfBtnnz5hEcHEz79u158sknS101qr64iEgJJdFFRKRaJCYmAhAaGlpqfWhoqGNbYmIiHh4eBAQEXDImJCTkguOHhIQ4Ys43bdo0x5yNNpuNyMjIK66PiIjI5Tqakg1As0DPMmNC/T1p6GelyBj2JWaWGSciciXmzJmDn5+f4wrRc+666y4+/fRTVq1axQsvvMAXX3xRKkZ9cRGREkqii4hItbJYLKUeG2MuWHe+82MuFn+p4zz77LOkp6c7luPHj1ei5CIiIpWXX1jMqbQ8ACIblJ1EB2gfXnLD0d2nNFpTRKrHv//9b+666y48PUu3Rw888AADBw4kOjqaMWPG8Pnnn7NixQq2bNniiFFfXERESXQREakm5+ZVPH+ESlJSkmN0elhYGPn5+aSmpl4y5vTpCy+BP3PmzAWj3M+xWq34+/uXWkRERGrSibQciozB39MNm6frJWNbh/nh6mLhTJadM5m6waiIVK0ff/yRffv2cf/995cbe9111+Hu7s6BAwcA9cVFRM5REl1ERKpF8+bNCQsLY/ny5Y51+fn5rF69ml69egHQpUsX3N3dS8UkJCSwc+dOR0zPnj1JT0/n559/dsRs3LiR9PR0R4yIiEhtczSl5IaiTYN8yr0Cy9PdlaaB3gAc/GUedRGRqvLhhx/SpUsXOnbsWG7srl27KCgoIDw8HFBfXETkHDdnF0BEROqurKwsDh486HgcHx9PXFwcgYGBNGnShEmTJjF16lSioqKIiopi6tSpeHt7M27cOABsNhv33XcfU6ZMISgoiMDAQJ588kk6dOjAwIEDAWjbti1Dhw7lgQce4F//+hcADz74IMOHD6d169Y1X2kREZEKOJWWC0BkoFeF4qNCfTmcnM2BpEy6RvpWZ9FEpJ4ory8OkJGRwX/+8x/eeOONC/Y/dOgQ8+bN4+abbyY4OJjdu3czZcoUOnfuTO/evQH1xUVEzlESXUREKm3z5s3079/f8Xjy5MkATJgwgdmzZ/PUU0+Rm5vLww8/TGpqKt27d2fZsmX4+fk59nnrrbdwc3Nj9OjR5ObmMmDAAGbPno2r6/8ufZ83bx4TJ05k8ODBAIwcOZJZs2bVUC1FREQuT35hMSlZ+QCE27ygqPwpWpoH++DqYiE1p4CzOQXVXUQRqQfK64sDLFiwAGMMY8eOvWB/Dw8Pvv/+e/7xj3+QlZVFZGQkt9xyCy+99JL64iIi51ESXUREKq1fv34YY8rcbrFYiImJISYmpswYT09PZs6cycyZM8uMCQwMZO7cuVdSVBERkRqTlJmHAXytbvha3cjLKT+JbnUrmdLlcHI2h5Jzqr+QIlLnldcXh5JR4w8++OBFt0VGRrJ69epyn0d9cRERzYkuIiIiIiJSpRLS8wAIt3le1n7NG/oAcOxsbpWXSUREREQqT0l0ERERERGRKpT4SxI97DKT6M2CSpLopzPzcfHyr/JyiYiIiEjlKIkuIiIiIiJSRYwxJGb8kkT3v7wkuq/VjYa+VgC8ml9X5WUTERERkcpREl1ERERERKSK5OQXkZNfhAVo6Ge97P2bBXsD4HVN1youmYiIiIhUlm4sKiIiIiIiUkWSs0puItrA2x1318sfs9Q0yIdNR1LxbH4dRcWXvmFgbVVYWEhxcXGF411cXHBz01dTERERqb00El1ERERERKSKJGflAxDse/mj0AHC/T2xurng6uXP9hPpVVm0GlFYWEiTps2wWq0VXpo0bUZhYaGziy4iIiJSJv3cLyIiIiIiUkXOjUQP8vWo1P4uLhYiAzw5eCaH1QeS6d4ypCqLV+2Ki4tJOHWSaV9twdXNvdz4osICnr31ussauS4iIiJS0zQSXUREREREpIqcS6JXdiQ6QNMALwBW70+ukjI5g6ubO27uHuUuFUm0i4iIiDibkugiIiIiIiJVoKjYkJpdAFxZEr1JYEkSfVdCJmcy7VVSNhERERGpPCXRRUREREREqkBaTj5FxuDh6oK/Z+VnzvT2cCX/9GEANhxOqariiYiIiEglKYkuIiIiIiJSBVKyS24qGujjgcViuaJj5R3bDsC6Q0qii4iIiDibkugiIiIiIiJVIDWnJIke4HPl83znHd0GwPpDdXdedBEREZH6Qkl0ERERERGRKpCaUzIfeoC3xxUfK+/4TlxdLBxJyeFkWu4VH09EREREKk9JdBERERERkSqQ+st0LlWRRDf5uURH+AOwXlO6iIiIiDiVkugiIiIiIiJXyBhDmmMk+pVP5wLQvXkAoCS6iIiIiLMpiS4iIiIiInKFcvKLyC8qxgLYqiiJ3rN5IFAyL7oxpkqOKSIiIiKXT0l0ERERERGRK3TupqL+Xu64uVTN16zrmjTA3dXCqfQ8jqbkVMkxRUREROTyKYkuIiIiIiJyhVKzS6ZyaVBFo9ABvDxc6dykZEqXdZrSRURERMRplEQXEREREZELTJs2jW7duuHn50dISAi33XYb+/btKxVjjCEmJoaIiAi8vLzo168fu3btKhVjt9t57LHHCA4OxsfHh5EjR3LixImarEqNSM2tupuK/lqva4IAWHcouUqPKyIiIiIVpyS6iIiIiIhcYPXq1TzyyCNs2LCB5cuXU1hYyODBg8nOznbETJ8+nTfffJNZs2axadMmwsLCGDRoEJmZmY6YSZMmsWjRIhYsWMDatWvJyspi+PDhFBUVOaNa1SY9p+pHogP0uiYYgA2HUzQvuoiIiIiTKIkuIiIiIiIXWLJkCffccw/t27enY8eOfPTRRxw7dozY2FigZBT6jBkzeO655xg1ahTR0dHMmTOHnJwc5s+fD0B6ejoffvghb7zxBgMHDqRz587MnTuXHTt2sGLFijKf2263k5GRUWqp7dLzSpLoNq+qTaJ3imyAp7sLyVn5HEjKqtJji0jdtmbNGkaMGEFERAQWi4Uvv/yy1PZ77rkHi8VSaunRo0epmIpcLZSamsr48eOx2WzYbDbGjx9PWlpaNddORKR2URJdRERERETKlZ6eDkBgYCAA8fHxJCYmMnjwYEeM1Wqlb9++rFu3DoDY2FgKCgpKxURERBAdHe2IuZhp06Y5kjU2m43IyMjqqFKVMcaQkVs9SXQPNxe6NSs55+sOakoXEfmf7OxsOnbsyKxZs8qMGTp0KAkJCY7lv//9b6ntFblaaNy4ccTFxbFkyRKWLFlCXFwc48ePr7Z6iYjURm7OLoCIiIiIiNRuxhgmT55Mnz59iI6OBiAxMRGA0NDQUrGhoaEcPXrUEePh4UFAQMAFMef2v5hnn32WyZMnOx5nZGTU6kR6Tn4RBUUlU634e1ZtEh1KpnT58UAy6w6lcE/v5lV+fBGpm4YNG8awYcMuGWO1WgkLC7votnNXC33yyScMHDgQgLlz5xIZGcmKFSsYMmQIe/bsYcmSJWzYsIHu3bsD8MEHH9CzZ0/27dtH69atq7ZSIiK1lEaii4iIiIjIJT366KNs376dTz/99IJtFoul1GNjzAXrzldejNVqxd/fv9RSm2X8MpWLn6cbri6XrntlnLu56IbDKRQVa150Eam4VatWERISQqtWrXjggQdISkpybKvI1ULr16/HZrM5EugAPXr0wGazlXlFUV2ckktEpDy1OoleWFjI888/T/PmzfHy8qJFixb85S9/obi42BFjjCEmJoaIiAi8vLzo168fu3btKnWciszxJSIiIiIiF3rsscdYvHgxK1eupHHjxo7150Y2nj+iPCkpyTE6PSwsjPz8fFJTU8uMqQ/Sz03lUsWj0PPz88nPzycq2BNfqxsZeYVsP5biWP/rpbCwsEqfW0TqvmHDhjFv3jx++OEH3njjDTZt2sRNN92E3W4HKna1UGJiIiEhIRccOyQkpMwriuralFwiIhVRq5Pof/vb33jvvfeYNWsWe/bsYfr06bz++uvMnDnTETN9+nTefPNNZs2axaZNmwgLC2PQoEFkZmY6Yioyx5eIiIiIiPyPMYZHH32UhQsX8sMPP9C8eelpRJo3b05YWBjLly93rMvPz2f16tX06tULgC5duuDu7l4qJiEhgZ07dzpi6oNzSXT/KpoPvaioECwu+Pn5YbVa8fH2ImlXyYjPvqMfxGq1XrA0adpMiXQRKeXOO+/klltuITo6mhEjRvDdd9+xf/9+vv3220vud/7VQhe7cuhSVxQ9++yzpKenO5bjx49fWUVERGqBWj0n+vr167n11lu55ZZbAGjWrBmffvopmzdvBkoa7RkzZvDcc88xatQoAObMmUNoaCjz58/noYceqtAcXxdjt9sdv84CuvxIRERERK4qjzzyCPPnz+err77Cz8/PMeLQZrPh5eWFxWJh0qRJTJ06laioKKKiopg6dSre3t6MGzfOEXvfffcxZcoUgoKCCAwM5Mknn6RDhw6Ovnl9kF7FNxU1xQZMMa8s3ISH1ROArScyWHc4letuf5RbYv5SKr6osIBnb72u1BW7IiLnCw8Pp2nTphw4cAAofbXQr0ejJyUlOX7oDAsL4/Tp0xcc68yZM2VeUXTuxz0RkfqkVo9E79OnD99//z379+8HYNu2baxdu5abb74ZgPj4eBITE0vN32W1Wunbt69jbq6KzPF1Mbr8SERERESuZu+++y7p6en069eP8PBwx/LZZ585Yp566ikmTZrEww8/TNeuXTl58iTLli3Dz8/PEfPWW29x2223MXr0aHr37o23tzdff/01rq6uzqhWtajqJPo5rm7uuLl74ObuQdMgXwBOpdtxcf3fejd3D1zdqv5mpiJS/6SkpHD8+HHCw8OBil0t1LNnT9LT0/n5558dMRs3biQ9Pb1eXVEkIlKeWj0S/emnnyY9PZ02bdrg6upKUVERr776KmPHjgX+N//i+b9+hoaGcvToUUdMeXN8Xcyzzz7L5MmTHY8zMjKUSBcRERGRq4Yx5d/A0mKxEBMTQ0xMTJkxnp6ezJw5s9SUjPVNRm7JNCpVnUT/tWA/K1Y3F+yFxSRl2Qnz96y25xKRuiErK4uDBw86HsfHxxMXF0dgYCCBgYHExMTw29/+lvDwcI4cOcKf//xngoOD+c1vfgNU7Gqhtm3bMnToUB544AH+9a9/AfDggw8yfPhwWrduXfOVFhFxklqdRP/ss8+YO3cu8+fPp3379sTFxTFp0iQiIiKYMGGCI+78ebguNTdXRWN0+ZGIiIiIiJSnqNiQZS9Jovt5Vt/XKxeLhUYNvDicnM3J1Fwl0UWEzZs3079/f8fjcwMBJ0yYwLvvvsuOHTv4+OOPSUtLIzw8nP79+/PZZ59dcLWQm5sbo0ePJjc3lwEDBjB79uxSVwvNmzePiRMnOq7wHzlyJLNmzaqhWoqI1A61Oon+pz/9iWeeeYYxY8YA0KFDB44ePcq0adOYMGECYWFhQMlo83OXI0HJ/F3nRqdXZI4vEREGjfW6AADaiUlEQVQRERGRysj+JYHuarHg7VG9U9Q0DihJoh9PzaFL04DydxCReq1fv36XvGpo6dKl5R6jIlcLBQYGMnfu3EqVUUSkvqjVc6Ln5OTg4lK6iK6uro4b5jRv3pywsLBS83fl5+ezevVqR4K8InN8iYiIiIiIVEZmXkkS3dfTrdyrYa9U4wBvAE6l5VJUXP50O/VVYWEh+fn5FV4KCwudXWQRERGp42r1SPQRI0bw6quv0qRJE9q3b8/WrVt58803uffee4GSaVwmTZrE1KlTiYqKIioqiqlTp+Lt7c24ceOAis3xJSIiIiIiUhmZ9pKbivpZq/+rVbCvx//mRc/MI9zmVe3PWdPKm3azsLCQJk2bkXDqZIWPGR7RiGNHj+DmVqu//oqIiEgtVqt7ETNnzuSFF17g4YcfJikpiYiICB566CFefPFFR8xTTz1Fbm4uDz/8MKmpqXTv3p1ly5Zd9hxfIiJS9QoLC4mJiWHevHmOqbfuuecenn/+eceVRsYYXn75Zd5//31HO/7222/Tvn17x3HsdjtPPvkkn376qaMdf+edd2jcuLGzqiYiIgL8byR6dc6Hfo7FYqFxgBeHzmRzIjW3zifRjTEcT80l6JbJDJqxloR0OwXFxQR6e9DQz0qTQG+ubWyjQ+MGXNekAX6e7hQXF5Nw6iTTvtqCq1v5N3ItKizg2Vuvc1zNLCIiIlIZtTqJ7ufnx4wZM5gxY0aZMRaLhZiYGGJiYsqMqcgcXyIiUvX+9re/8d577zFnzhzat2/P5s2b+f3vf4/NZuPxxx8HYPr06bz55pvMnj2bVq1a8corrzBo0CD27dvn+EF00qRJfP311yxYsICgoCCmTJnC8OHDiY2N1Q+iIiLiVFm/ms6lJjQO8HYk0bs1q5GnrBZns/P5fs9pTqXn4Rt9E0fP5jq2pWTnk5Kdz97ETJbtPg2Aq4uFTpEN6NUiALegxri6uePm7uGs4ouIiMhVplYn0UVEpG5bv349t956K7fccgsAzZo149NPP2Xz5s1AyQi0GTNm8NxzzzFq1CgA5syZQ2hoKPPnz+ehhx4iPT2dDz/8kE8++cQxDdfcuXOJjIxkxYoVDBky5ILntdvt2O12x+OMjIzqrqqIiFylMu3nRqKXPyq6KjQOKBl9fm5edFeX6p2HvTocP5vDN9sTyC8qxs3FwtlNi/niHy8RFW7Dw9WFlOx8kjLtHDidyY6T6Ww9lsaxsznEHk0l9mgqje5/jwWxp+jQqAHtI/xxc63Vt/oSERGRekC9DRERqTZ9+vTh+++/Z//+/QBs27aNtWvXcvPNNwMQHx9PYmIigwcPduxjtVrp27cv69atAyA2NpaCgoJSMREREURHRztizjdt2jRsNptjiYyMrK4qiojIVS4zr+bmRAcI8vHA092FwmLD6Yy8GnnOqnQqLZev4k6RX1RMowZejOsaQeqKf9G7ZRCNA7wJ8fekbbg/fVs15P4bWvCPMZ1Z81R/fnyqP6+N6kC/VsGYokJSsgtYtf8MH607wpZjqRRquhYRERGpRkqii4hItXn66acZO3Ysbdq0wd3dnc6dOzNp0iTGjh0LQGJiIgChoaGl9gsNDXVsS0xMxMPDg4CAgDJjzvfss8+Snp7uWI4fP17VVRMREQFqdk50+GVe9AbeAJxIzS0nunbJzCvgm+0JFBlD82AfbusUUeHzFhnozZjrm/D+3Z05MetubrgmAD9PN3Lyi/jxQDKfbjxOYh38UUFERETqBk3nIiIi1eazzz5j7ty5zJ8/n/bt2xMXF8ekSZOIiIhgwoQJjjiLpfSl6MaYC9ad71IxVqsVq9V65RUQERG5hPyiYuyFJSOga2pOdCiZ0uXgmSxOpOZwffPAGnveK2GMYfme0+QWFNHQ18qw6DDcXF0orMQA8uK8LK5t5E/HJkHsSchg/eEUzubk8/nmE/Rr3ZDoRrYL9snPz6/QsV1cXHBz09dkERERKU29AxERqTZ/+tOfeOaZZxgzZgwAHTp04OjRo0ybNo0JEyYQFhYGlIw2Dw8Pd+yXlJTkGJ0eFhZGfn4+qamppUajJyUl0atXrxqsjYiISGlZ9iIAPNxcsLrV3I2uHfOip+fVmWlM9iRkcvxsLq4uFoZ1CMP9vHnMK5rk/nWcq4uF6EY2Wob4smLPaQ6dyeb7vUlk2Qvp3jwQi8VCUVEhWFwcNysvT3hEI44dPaJEuoiIiJSinoGIiFSbnJwcXFxKf0l2dXWl+Jcv/M2bNycsLIzly5fTuXNnoOTL8erVq/nb3/4GQJcuXXB3d2f58uWMHj0agISEBHbu3Mn06dNrsDYiIiKlZZ2byqWG5kM/J9DHAy93V3ILijidbifUt+YS+JWRX1jM2oPJAPRoEUiAt4dj2+Umuc8p/tWPB57urtzSIZyN8WcdiwXo3iIIU2zAFPPKwk14WD0vecyiwgKevfW6UscWERERASXRRUSkGo0YMYJXX32VJk2a0L59e7Zu3cqbb77JvffeC5RM4zJp0iSmTp1KVFQUUVFRTJ06FW9vb8aNGweAzWbjvvvuY8qUKQQFBREYGMiTTz5Jhw4dGDhwoDOrJyIiV7lMe83Oh36OxWKhcYAXB5JKpnQJ9b28BHRNizueRm5BETYvdzpHlr7HyeUkuQHsuTm8cHt3jDGl1lssFnq0CMLDzYUfDySzIf4sPp5utGxQ8tq4urnj5u5xsUOKiIiIlEtJdBERqTYzZ87khRde4OGHHyYpKYmIiAgeeughXnzxRUfMU089RW5uLg8//DCpqal0796dZcuWlRqR9tZbb+Hm5sbo0aPJzc1lwIABzJ49G1fX2j3yTkRE6rdz07nU5Hzo5/wviZ5Ll8jam0S3FxYReywVKBmF7upy8fuZVDTJXVhQcMnt1zUJIK+giE1HUlm19wz+0UGXX2gRERGR8yiJLiIi1cbPz48ZM2YwY8aMMmMsFgsxMTHExMSUGePp6cnMmTOZOXNm1RdSRESkkv4/e3ceH1V9Ln78c2bNPtk3SEjYlwAiq6ACsokCWhdqVSqtWlsVS9XaS71esdcLrbcq/WG1pde6oWJbxYoLCCgosu9h3wJZyL6vM5mZ8/tjktHIloSZOTOT5/16nZdm5sw5zxkm35x5znOeb527Et3o8313jwkDoLCmCbtTvcTa2jlYUIPN7iQ23ES/JN8k+6/qGUdFvY2TpfWsPVqJYgrzyX6FEEIIEbx0l15FCCGEEEIIIcT31bZUokf5uCc6QEyYkTCTHodTpai6yef7bw+nU2VPXhUAw9KjUZTzV6F7mqIoTBmYhCXUSJ3NQeyk+32yXyGEEEIEL0miCyGEEEIIIUQntE4sqkU7F0VRSIt1VVjnVflnEv1kaR11VjuhRj39fVSF3sps0DNlQBIAEUOmkFfpn++REEIIIQKDJNGFEEIIIYQQohO0bOcCkN6SRM/30yT6gbM1AAzuZsGg9/1Xz24xoWQlhwPw9akq7E6nz2MQQgghRHCQJLoQQgghhBBCdJAuzIKjpRV5hAbtXADSW/qil9Ta0IVEaBLDhdQ02cmtaABgUGqUZnGMTIvEXldBTZOdPblVmsUhhBBCiMAmSXQhhBBCCCGE6CBDVAIA4SY9ep1ven1/X0SIgdgwEwAh6UM0ieFCDhfVAZAWG0pUqDaV+gAmg46qDa8BsPNMJU3NDs1iEUIIIUTgkiS6EEIIIYQQQnSQPtKVRNeiH/p3pcWGAhCSMUzTOL7vaLEriT4oxaJxJFB/cAOxYQZsdie7cyu1DkcIIYQQAUiS6EIIIYQQQgjRQa2V6Fr1Q2/V2hc9JGOopnF8lym1P7VWB0a9Qs+EcK3DAVRGpruS+Xvzqmiw2TWORwghhBCBRpLoQgghhBBCCNFB+sg4QLt+6K26x4ShAMaYVPIqGzWNpVX4gGsB6JUQgVGDCUXPJyM2hKQoM80OlR2npRpdCCGEEB3jH2c0QgghhBBCCBFADBH+kUQ3GXQkR5kB2HyyXNNYABxOlfAB1wDQLylS42i+pSgKV/V0/ZtlF1RT1yTV6CLwffXVV8ycOZPU1FQUReHDDz90P9fc3MxvfvMbBg8eTHh4OKmpqfz4xz/m7NmzbbYxYcIEFEVps9xxxx1t1qmsrGTOnDlYLBYsFgtz5syhqqrKB0cohBD+Q5LoQgghhBBCCNFB+ohYAMLNeo0jge4xIQBsPlmhcSSwO7cKfXgMZoOOtJZWM/4iPTaMVEsIDqfK3vwqrcMR4rLV19czdOhQXnrppXOea2hoYPfu3Tz11FPs3r2bDz74gGPHjjFr1qxz1r3//vspLCx0L3/961/bPH/nnXeyd+9eVq9ezerVq9m7dy9z5szx2nEJIYQ/0rZsQgghhBBCCCECUGsSXetKdIC06BB2nKlm86ly7A4nBg1bqHxxtBSAHrGh6HWKZnGcj6IoDO8Rw9n9hRwoqGZURiwmg9SVicA1ffp0pk+fft7nLBYLa9eubfPY0qVLGTVqFLm5uaSnp7sfDwsLIzk5+bzbOXz4MKtXr2br1q2MHj0agL/97W9cddVVHD16lH79+p3zGqvVitVqdf9cU1PT4WMTQgh/I2cMQgghhBBCCNFB31aia59ET4oy42iqo7rRzj4NK6xVVWX9EVcSPTMuVLM4LiYzPpzoMCNWu5ODZ6u1DkcIn6qurkZRFKKjo9s8/vbbbxMfH8+gQYN4/PHHqa2tdT+3ZcsWLBaLO4EOMGbMGCwWC5s3bz7vfhYvXuxu/WKxWEhLS/PK8QghhC9JEl0IIYQQQgghOqDOakdndrUqCTdpn0TXKQpNObsB2NBSCa6Fk6X1nC5vQLU3kx7jn0l0RVG4Mi0GgL15VTidqsYRCeEbTU1N/Md//Ad33nknUVFR7sfvuusu3n33XTZs2MBTTz3F+++/zy233OJ+vqioiMTExHO2l5iYSFFR0Xn3tWDBAqqrq91LXl6e5w9ICCF8TPszPiGEEEIIIYQIIKW1rjYFRr3iN+1AGk/tJHzAtWw4WspjU89tr+ALaw8VA9CUux+TobcmMbTHgJRItpwqp6bJzsnSOvr40QSoQnhDc3Mzd9xxB06nk5dffrnNc/fff7/7/7OysujTpw8jRoxg9+7dXHnllYDr4tP3qap63scBzGYzZrPZg0cghBDa69QZX8+ePSkvP3fm96qqKnr27HnZQQkhhPAeGcOFECL4yVjvXSUtSfRwk/aTirZqPOWqRM8uqKaktkmTGNYddiXRG45v1WT/7WXQ6xjc3QK4JkIVwpd8PT43Nzcze/ZscnJyWLt2bZsq9PO58sorMRqNHD9+HIDk5GSKi4vPWa+0tJSkpCSPxyuEEP6qU0n006dP43A4znncarVSUFBw2UEJIYTwHhnDhRAi+MlY713+mER3NlQxKMVVUf3VsTKf77+01sru3EoAGk9u9/n+O2pINws6BYpqmtx3FgjhC74cn1sT6MePH2fdunXExcVd8jUHDx6kubmZlJQUAK666iqqq6vZvv3b3+tt27ZRXV3N2LFjPRqvEEL4sw61c/noo4/c/79mzRosFov7Z4fDwfr168nIyPBYcEIIITxHxnAhhAh+Mtb7RklNSxLdDyYV/a5r+8RzsLCWDUdLuG14d5/u+8sjJagqZKVGcqb23CpbfxNuNtA7IYJjJXXsL6hiUn+pqBXe5Y3xua6ujhMnTrh/zsnJYe/evcTGxpKamsptt93G7t27+fjjj3E4HO4e5rGxsZhMJk6ePMnbb7/NDTfcQHx8PIcOHeKxxx5j2LBhjBs3DoABAwZw/fXXc//99/PXv/4VgJ/97GfMmDGDfv20aR0lhBBa6NBZ38033wy4+mHdc889bZ4zGo1kZGTw/PPPeyw4IYQQniNjuBBCBD8Z632j2A8r0QHG943nla9y+Pp4GXaHE4Ped/3aP2/ph35dvwQ+8dleL8/g7haOldRxtKiWq3vH41//miLYeGN83rlzJxMnTnT//OijjwJwzz33sHDhQnfi/oorrmjzui+//JIJEyZgMplYv349f/rTn6irqyMtLY0bb7yRp59+Gr3+29+It99+m0ceeYSpU6cCMGvWLF566aUOxSqEEIGuQ0l0p9MJQGZmJjt27CA+Pt4rQQkhhPA8GcOFECL4yVjvG/7YzgVgaHcLllAj1Y3N7MuvYniPWJ/st9HmYNOJUgAmDUj0yT49oVt0KLFhJioabBwtqmVgUpjWIYkg5o3xecKECaiqesHnL/YcQFpaGhs3brzkfmJjY1m+fHmH4xNCiGDSqdKEnJwcOSEXQogAJWO4EEIEPxnrvas1iR5m9q8kul6ncG3fBADWHS7x2X43nSijqdlJt+hQ+idF+Gy/l0tRFPcEo/sLqi+ZcBTCE2R8FkKIwNTpJn7r169n/fr1lJSUuK+otvr73/9+2YEJIYTwHhnDhRAi+MlY7z3+WokOMGVgEqv2neXzg0X85vr+PtnnupZWLlMGJqEoik/26SkDkiP55kQZ5XU2impkglHhGzI+CyFE4OlUJfozzzzD1KlTWb9+PWVlZVRWVrZZxLfq6+spLy/v0FJfX6912EKIICZjuBBCBD9PjfVfffUVM2fOJDU1FUVR+PDDD9s8P3fuXBRFabOMGTOmzTpWq5V58+YRHx9PeHg4s2bNIj8/3xOHqQlVVf06iT6hXwJGvcLJ0npOlNR5fX8Op8r6I64k+uQBgTc5p9mop29SJAAHCr3/fgkh5+JCCBGYOlWJ/pe//IXXX3+dOXPmeDqeoFJfX09GZiZlpaUdel18QgKnc3IIDw/3UmRCiK5MxnAhhAh+nhrr6+vrGTp0KD/5yU+49dZbz7vO9ddfz2uvveb+2WQytXl+/vz5rFq1ihUrVhAXF8djjz3GjBkz2LVrV5uJ6wJFTZOdpmZX5ag/JtGjQoxc1Suer46VsvZQMb0TvdteZW9eFWV1NiJDDIzuGYvqsHt1f94wpLuFQ4U1nCitRxcapXU4IsjJuXj7nKxoxhCdonUYQgjh1qkkus1mY+zYsZ6OJeg0NTVRVlrKgtfWEBZpaddrGmqrWfyTaTQ1NUkSXQjhFTKGCyFE8PPUWD99+nSmT59+0XXMZjPJycnnfa66uppXX32Vt956i8mTJwOwfPly0tLSWLduHdOmTbvsGH2tpKYJAEdjLQZ9p27s9bppg5L46lgpaw4W8YsJvby6r7UtrVwm9EvEqNdhc3h1d16RFBVCYqSZklorEYMnaR2OCHJyLt4+r++rodsDf2N9oZNpiU0kW0K0DkkI0cV16qzvvvvu45133vF0LEErLNJCeFRMu5b2JtuFEKKzZAwXQojg58uxfsOGDSQmJtK3b1/uv/9+Skq+ndBy165dNDc3M3XqVPdjqampZGVlsXnz5gtu02q1UlNT02bxF8UtfbMd9RUaR3JhU1raquzNq6K4JenvLWsPFbn2OTDwWrl8V+sEoxFDp8sEo8Kr5Fz80uwOJya9gup0UNWs46N9Z6lpatY6LCFEF9epSvSmpiaWLVvGunXrGDJkCEajsc3zL7zwgkeCE0II4XkyhgshRPDz1Vg/ffp0br/9dnr06EFOTg5PPfUU1113Hbt27cJsNlNUVITJZCImJqbN65KSkigqKrrgdhcvXswzzzzjkRg9rTUp7ajz3yR6YlQIw9Kj2ZNbxdpDxdw9podX9nOqtI6TpfUYdArj+yZ4ZR++0i8pkq+OlUJsKttPV3JNv/PfXSHE5ZJz8Usz6HU8dW0sI6++lcGPLaeqGVYfKOL24d0DbvJiIUTw6FQSff/+/VxxxRUAHDhwoM1znh7QCgoK+M1vfsNnn31GY2Mjffv25dVXX2X48OGAa2KfZ555hmXLllFZWcno0aP585//zKBBg9zbsFqtPP7447z77rs0NjYyadIkXn75Zbp37+7RWIUQIhD4cgwXQgihDV+N9T/84Q/d/5+VlcWIESPo0aMHn3zyCbfccssFX6eq6kXjWLBgAY8++qj755qaGtLS0jwT9GUqrm1Jotf6bxIdYNqgZPbkVrHmYJHXkujrDrtauYzpGYcl1HiJtf2bUa+jb2I4BwvreG9ngSTRhdfIuXj7ORtrGJNgZ12RmcLqJvIqG0mPDdM6LCFEF9WpJPqXX37p6TjOq7KyknHjxjFx4kQ+++wzEhMTOXnyJNHR0e51nnvuOV544QVef/11+vbty7PPPsuUKVM4evQokZGuWdaDbTIjIYS4HL4aw4UQQmhHq7E+JSWFHj16cPz4cQCSk5Ox2WxUVla2qUYvKSm5aE9gs9mM2Wz2erydUdLazsWPK9EBpg5M4vefHWHLyXKqGmxEh5ku/aIOWnfI1bon0Fu5tBqYHMHBwjrWHCqmst5GTLjn3zMh5Fy8Y8INkJVqYW9+FTtOV0gSXQihGf+cCafFH/7wB9LS0njttdcYNWoUGRkZTJo0iV69XJPjqKrKkiVLePLJJ7nlllvIysrijTfeoKGhwd1jrHUyo+eff57JkyczbNgwli9fTnZ2NuvWrbvgvv25D6MQQgghhBD+qLy8nLy8PFJSUgAYPnw4RqORtWvXutcpLCzkwIEDATux3rftXMo1juRcNpvNvXS3mOiXFIHdqbJqb36b52w2G3a7/bL2VVFvY+cZ14WESQMSPRG+5hIjzViLTtDsUPlgT4HW4QghWlzZIxqdAvmVjZTWWrUORwjRRXWqEn3ixIkXvc3oiy++6HRA3/XRRx8xbdo0br/9djZu3Ei3bt148MEHuf/++wHIycmhqKiozURFZrOZ8ePHs3nzZh544IFLTmY0bdq08+7bn/swCiHE5fDVGC6EEEI7nhrr6+rqOHHihPvnnJwc9u7dS2xsLLGxsSxcuJBbb72VlJQUTp8+zW9/+1vi4+P5wQ9+AIDFYuHee+/lscceIy4ujtjYWB5//HEGDx7M5MmTL+8gNeKPPdEdDjsoOveduK2iRt1KzMSf8OuX/sGP313Q5rmU1G7knjmNwdCpr4R8caQEpwoDU6LoHhM8laF1+9ZgTu7Niu25/HRchrTXEB4n5+IdFxliJDM+nJOl9RwtriUh0j/vVBJCBLdOnTG19u9q1dzczN69ezlw4AD33HOPJ+IC4NSpU7zyyis8+uij/Pa3v2X79u088sgjmM1mfvzjH7snI0pKanv7YFJSEmfOnAHo9GRG/tyHUQghLoevxnAhhBDa8dRYv3PnTiZOnOj+ufX8+J577uGVV14hOzubN998k6qqKlJSUpg4cSLvvfdem2Tuiy++iMFgYPbs2e75iV5//fWAbatY3NLOxe5HSXTVqYLq5NkPdmAyh7gfr22y8+b2AkLSB/PU+3uIDHF9/XPYm1lw05U4nc5O73P1gUIAJgdJK5dW9Yc20H3GPI6X1LE7t5LhPWK1DkkEGTkX75x+SZGcLK3neHEt43rFyQUuIYTPdSqJ/uKLL5738YULF1JXV3dZAX2X0+lkxIgRLFq0CIBhw4Zx8OBBXnnlFX784x+71/v+4HmpiYras44/92EUQojL4asxXAghhHY8NdZPmDABVVUv+PyaNWsuuY2QkBCWLl3K0qVL271ff6WqKiW1/tvORW8wYjB+28c7xmiiW3QoBVWNnKxoYoSHEsLVjc18dawMgBlDUjyyTX+h2hq5ISuZ9/ec5Z1teZJEFx4n5+KdkxEfjlGvUNNkp7jGSrIl5NIvEkIID/JoT/S7776bv//97x7bXkpKCgMHDmzz2IABA8jNzQVcExUB51SUl5SUuKvTvzuZ0YXWEUII4fkxXAghhP+Rsf7yVDY00+xwXVRw1FdeYm3/0C/ZdVfA0aJaj21z3aFibA4nfRIj6JsUeekXBJjZw7sB8En2WaobmzWORnQVMj5fnFGvIzM+HIATJXKxQQjhex5Nom/ZsoWQEM9dDRw3bhxHjx5t89ixY8fo0aMHAJmZmSQnJ7eZqMhms7Fx40b3REXBOJmREEJ4g6fH8FYFBQXcfffdxMXFERYWxhVXXMGuXbvcz6uqysKFC0lNTSU0NJQJEyZw8ODBNtuwWq3MmzeP+Ph4wsPDmTVrFvn5+R6PVQghgp23xvquorUKPSbMCI7Lm5jTV/okRqBToKzORnmdZybk+yTb1crlxiCrQm91RZqFvkkRNDU7+WivTDAqfEPG50trTaLnVjRoHIkQoivqVDuXW265pc3PqqpSWFjIzp07eeqppzwSGMCvfvUrxo4dy6JFi5g9ezbbt29n2bJlLFu2DHC1cZk/fz6LFi2iT58+9OnTh0WLFhEWFsadd94JBOdkRkIIcTl8NYYDVFZWMm7cOCZOnMhnn31GYmIiJ0+eJDo62r3Oc889xwsvvMDrr79O3759efbZZ5kyZQpHjx5199SdP38+q1atYsWKFcTFxfHYY48xY8YMdu3aFbA9dYUQwpt8OdZ3Ja390BMDaFK7EKOejLhwTpXVc6SolnG9Ly/26oZmvj5eCsCNg4Mzia4oCj8alc4zqw7x7vY87h7TQ/ovC4+R8bnz0lomMS6ts9JgsxNm6tzEyEII0RmdGnEsFkubn3U6Hf369eN3v/sdU6dO9UhgACNHjmTlypUsWLCA3/3ud2RmZrJkyRLuuusu9zpPPPEEjY2NPPjgg1RWVjJ69Gg+//zzoJ7MSAghLoevxnCAP/zhD6SlpfHaa6+5H8vIyHD/v6qqLFmyhCeffNL9heKNN94gKSmJd955hwceeIDq6mpeffVV3nrrLffFz+XLl5OWlsa6deuYNm3aOfu1Wq1Yrd9W29XU1Hj0uIQQwt/5cqzvSoprXJXogZREB+ifHMmpsnoOF9YwpmfcZW3r80NFNDtU+iVF0icIW7m0+sGwbiz+7AiHCmvILqhmSPdorUMSQULG584LNxtIiDBTWmclt6KB/slRWockhOhCOpVE/24yxNtmzJjBjBkzLvi8oigsXLiQhQsXXnCdYJrMSAghLpcvx/CPPvqIadOmcfvtt7Nx40a6devGgw8+yP333w9ATk4ORUVFbb4wmM1mxo8fz+bNm3nggQfYtWsXzc3NbdZJTU0lKyuLzZs3nzeJvnjxYp555hnvH6AQQvgpX471XUlJSxI9KSqwkug9EyIINeqptznIKasnI8Z06RddQLC3cmkVHWbihqxkPtx7lne350oSXXiMjM+XJz0uTJLoQghNXFZP9F27drF8+XLefvtt9uzZ46mYhBBC+IAvxvBTp07xyiuv0KdPH9asWcPPf/5zHnnkEd58803g24mhvz/Rc1JSkvu5oqIiTCYTMTExF1zn+xYsWEB1dbV7ycvL8/ShCSFEQJDzdc8KxHYuAHqdwsBUV7LpQEF1p7dTWW9j0/EyAG4I0lYu33XHqHQAPtp7lnprYPTAF4FDxufOSYsJBSC/slHjSIQQXU2nKtFLSkq444472LBhA9HR0aiqSnV1NRMnTmTFihUkJCR4Ok4hhBAe4ssx3Ol0MmLECBYtWgTAsGHDOHjwIK+88go//vGP3et9v8+oqqqX7D16sXXMZjNmc2AlOIQQwpPkfN07ArWdC0BWahS7zlRypqKBqobmTm1j5Z4C7E6VgSlR9E6M8HCE/md0Ziw941395FftO+tOqgtxOWR8vjwpllAUBWqb7NQ2NRMZYtQ6JCFEF9GpSvR58+ZRU1PDwYMHqaiooLKykgMHDlBTU8Mjjzzi6RiFEEJ4kC/H8JSUFAYOHNjmsQEDBpCbmwtAcnIywDkV5SUlJe7q9OTkZGw2G5WVlRdcRwghRFtyvu4dxbWBWYkOrvYkPePDAdhX0PG5QlRVZcUO19/vH41K82hs/kpRFH440nWs7+6Qu9qEZ3hyfP7qq6+YOXMmqampKIrChx9+2OZ5VVVZuHAhqamphIaGMmHCBA4ePNhmHavVyrx584iPjyc8PJxZs2aRn5/fZp3KykrmzJmDxWLBYrEwZ84cqqqqOnP4l81k0JEQ4RqDC6ubNIlBCNE1dSqJvnr1al555RUGDBjgfmzgwIH8+c9/5rPPPvNYcEIIITzPl2P4uHHjOHr0aJvHjh07Ro8ePQDIzMwkOTmZtWvXup+32Wxs3LiRsWPHAjB8+HCMRmObdQoLCzlw4IB7HSGEEG3J+bp3tPZETwywnuithqVHA3CkuB5daMd6Ce/OreJYcR0hRh03Devmhej8063Du2PUK+zLq+LQWZmoXFw+T47P9fX1DB06lJdeeum8zz/33HO88MILvPTSS+zYsYPk5GSmTJlCbW2te5358+ezcuVKVqxYwaZNm6irq2PGjBk4HA73OnfeeSd79+5l9erVrF69mr179zJnzpwOHrnnpFhCADhbJS1dhBC+06l2Lk6nE6Px3FtmjEYjTqfzsoMSQgjhPb4cw3/1q18xduxYFi1axOzZs9m+fTvLli1j2bJlgKvCa/78+SxatIg+ffrQp08fFi1aRFhYGHfeeScAFouFe++9l8cee4y4uDhiY2N5/PHHGTx4MJMnT/ZovEIIESzkfN3znE6VkgCuRAfoFh1KYqSZklorUSNv7tBrX/smB4AbB6cS1YXaJ8RHmJk6MJlPsgtZsSOX392UpXVIIsB5cnyePn0606dPP+9zqqqyZMkSnnzySW655RYA3njjDZKSknjnnXd44IEHqK6u5tVXX+Wtt95yn1cvX76ctLQ01q1bx7Rp0zh8+DCrV69m69atjB49GoC//e1vXHXVVRw9epR+/fqds2+r1YrVanX/XFPj2QtQqdGh7Muvlkp0IYRPdaoS/brrruOXv/wlZ8+edT9WUFDAr371KyZNmuSx4IQQQnieL8fwkSNHsnLlSt59912ysrL47//+b5YsWcJdd93lXueJJ55g/vz5PPjgg4wYMYKCggI+//xzIiMj3eu8+OKL3HzzzcyePZtx48YRFhbGqlWr0Ov1Ho1XCCGChZyve155vQ2HU0VRID7cpHU4naIoCqMzYwGIHD6Tinpbu16XW97Ap9mFANx7dabX4vNXd7S0r1m5p4BGm+MSawtxcb4an3NycigqKmLq1Knux8xmM+PHj2fz5s2Aa3LT5ubmNuukpqaSlZXlXmfLli1YLBZ3Ah1gzJgxWCwW9zrft3jxYnfrF4vFQlqaZ1tAtVail9ZasdnlwrAQwjc6lUR/6aWXqK2tJSMjg169etG7d28yMzOpra1l6dKlno5RCCGEB/l6DJ8xYwbZ2dk0NTVx+PBh7r///jbPK4rCwoULKSwspKmpiY0bN5KV1bbKKyQkhKVLl1JeXk5DQwOrVq3y+Mm4EEIEEzlf97zWSUXjI8wY9J36GuUXMuPDSYgwoTOF8vLGU+16zbKvT+JUYXzfBAamdqwNTDAY1yuetNhQapvs7osJQnSWr8bn1jmHvj+HUFJSkvu5oqIiTCYTMTExF10nMTHxnO0nJiaeM69RqwULFlBdXe1e8vI8O6dAZIiRCLMBFVciXQghfKFT7VzS0tLYvXs3a9eu5ciRI6iqysCBA+W2eiGECAAyhgshRPCTsd7zSmpdSfSkAO2H3kpRFK7KjOaj7BLe3p7Pj0ZnMCDlwonxEyV1rNjuSoD9fHwvX4XpV3Q6hR+OSOOPnx9jxY5cbh3eXeuQRADz9fisKEqbn1VVPeex7/v+Oudb/2LbMZvNmM3eHSuToszUldoprm2iW0yoV/clhBDQwST6F198wcMPP8zWrVuJiopiypQpTJkyBYDq6moGDRrEX/7yF6655hqvBCuEEKLzZAwXQnQlubm5lJWVeWx78fHxpKene2x73iJjvfcU17iqHZMiQzSO5PKlxYRSf2QT4f2vZsEH2fzz51dhPE91vaqq/PfHh7A7Va7rF8/wtEhstou3gLnU84Hq9hFpvLjuODtOV3KipJbeiZGXfpEQ3+Hr8Tk5ORlwVZKnpKS4Hy8pKXFXpycnJ2Oz2aisrGxTjV5SUsLYsWPd6xQXF5+z/dLS0nOq3H0pMSqEk6X17ruEhBDC2zqURF+yZAn3338/UVHnVipYLBYeeOABXnjhBTkpF0IIPyRjuBCiq8jNzaX/gAE0NjR4bJuhYWEcOXzY7xPpMtZ7T2uiJjEq8JPoAJVf/I3kKyawN6+KP3x2hP+cMfCcdZZvPcPGY6WoDjtvPXYLr/307Hm2dH7BNoFtUlQI1/VPZO2hYt7dnsdT53m/hLgYX4/PmZmZJCcns3btWoYNGwa4LnJt3LiRP/zhDwAMHz4co9HI2rVrmT17NgCFhYUcOHCA5557DoCrrrqK6upqtm/fzqhRowDYtm0b1dXV7kS7FpJaJnhuvcAphBDe1qEk+r59+9yD7flMnTqVP/7xj5cdlBBCCM+TMVwI0VWUlZXR2NDAXb/5X5LSL7/9RHHuSd7+w68pKyvz+yS6jPXe465ED/B2Lq0cteX8/geDeOjdffzfphwsoUYevq63uz3DF0eK+d3HhwCo+uoN/vv1j9EbjJfcrrWxgaduG42qql6NXws/GpXG2kPFfLA7nyeu74fZIBOci/bzxvhcV1fHiRMn3D/n5OSwd+9eYmNjSU9PZ/78+SxatIg+ffrQp08fFi1aRFhYGHfeeSfgSt7fe++9PPbYY8TFxREbG8vjjz/O4MGD3e1lBgwYwPXXX8/999/PX//6VwB+9rOfMWPGDPr169fRt8FjklouaFY3NtPU7CDEKL+PQgjv6lASvbi4GKPxwidOBoOB0tLSyw5KCCGE58kYLoToapLSe9G9zyCtw/ApGeu9p6SmtSd6cFSiA0wZkMhjU/ry/NpjPL/2GFtOlTM9K5lDhTW8tyMPpwrTBiay7A8r0Rt+h8FouuQ27c3NPohcG+P7JpJiCaGwuok1B4uZNTRV65BEAPHG+Lxz504mTpzo/vnRRx8F4J577uH111/niSeeoLGxkQcffJDKykpGjx7N559/TmTkt+2IXnzxRQwGA7Nnz6axsZFJkybx+uuvo9d/m5R+++23eeSRR5g6dSoAs2bN4qWXXupQrJ4WYtRjCTVS3dhMSa2V9NgwTeMRQgS/DiXRu3XrRnZ2Nr179z7v8/v372/Ta0sIIYT/kDFcCCGCn4z13lMcJBOLft+8SX2ICDGw6NPDbD5ZzuaT5e7nfjQqjSev78uyezQMUAMX6+t+y7BU/rzhFO9sPcP1A+LR6XQYDB36Wi26KG+MzxMmTLjoXR+KorBw4UIWLlx4wXVCQkJYunQpS5cuveA6sbGxLF++vEOx+UJipLklid4kSXQhhNedO3vMRdxwww3813/9F01N507c0NjYyNNPP82MGTM8FpwQQgjPkTFcCCGCn4z13tPaziUxCCYW/b6fjMvki8cm8LNrezJtUBI/HJHGu/ePYdEPBmMydOgrY0BzOOyg6IiMjMRsNp93WTB7PKrqZGtOBeFJGaT3yMBut2sduggAMj57XnxLX/SyuuCc0FgI4V86dMn8P//zP/nggw/o27cvDz/8MP369UNRFA4fPsyf//xnHA4HTz75pLdiFUIIcRlkDBdCiOAnY7132B1Oyupae6IHXxIdIC02jN/eMEDrMDSlOlVQnTz7wQ5M5gv/O6/KLia3sokbf/cu/35kQtBNoiq8Q8Znz4uPcLWYKquVyUWFEN7XoSR6UlISmzdv5he/+AULFixw3zakKArTpk3j5ZdfJikpySuBCiGEuDwyhgshRPCTsd47yuttqCrodQpx4Sbs9uDt+y1AbzBetP/74O4x5FYWcrSkAXQymaFoHxmfPS8+wlWJXtlgw+50YtB1nTtnhBC+1+HmbT169ODTTz+lsrKSEydOoKoqffr0ISYmxhvxCSGE8CAZw4UQIvjJWO95xS2TiiZGmtHpFI2jEVrLjA8nzKSnweYgtPcorcMRAUTGZ8+KNBswG3RY7U4q65tJiAyuOSuEEP6l0zOgxMTEMHLkSE/GIoQQwkdkDBdCiOAnY73nuPuhB2krF9Exep3CwJQodp6pJHLoNK3DEQFIxmfPUBSF+AgzBVWNlNVZJYkuhPAquddFCCGEEEIIIS6itRI9SRI0osWg1CgAQjKvpKCqUeNohOi63H3R66QvuhDCuySJLoQQQgghhBAXUdKaRJdKdNEiOsxE9+gQFEXHv3YVaB2OEF1Wa1/0UkmiCyG8TJLoQgghhBBCCHERre1ckqKkEl18a2ByBAD/2nMWu8OpcTRCdE2tSfSyWpvGkQghgl2ne6ILIYQQQgSrqgYb+/KryS1vwKmqJEaZGdo9mtToUK1DE0JooLi2dWLR4KpEt9kunXRqzzpdVc/4MBwN1RRjYeOxUiYNSNI6JCG6nLiWdi6NzQ7qrXbCzZLmEkJ4h4wuQgghxAXk5uZSVlbmse3Fx8eTnp7use0J7zhaVMu6w8XYnar7sarGZo4V1zGiRwxX9YpDpygaRiiE8LWi6pZ2LpbgSKI7HHZQdERGRrb7NU6nVFp/n16nUH/gC6JG/YB3t+dJEl0IDRj1OqLDjFQ1NFNWZ5UkuhDCa2R0EUIIIc4jNzeX/gMG0NjQ4LFthoaFceTwYUmk+7HDhTV8fqgYgG7RoQxLj8agUzhaVMvholp2nqnEancysV8CiiTShegy3BOLBkk7F9Wpgurk2Q92YDJf/MKAtbGBp24bjaqqF12vq6rdv4aoUT/gy6MllNQ2Bd3dCkIEgvgIc0sS3UaPuHCtwxFCBClJogshhBDnUVZWRmNDA3f95n9JSu912dsrzj3J23/4NWVlZZJE91MFlY2sO+xKoA/tbuHavgnuivMeceGkxYbx+aFisguqiQ4zcmV6jJbhCiF8pKnZQWVDMwDJQTaxqN5gxGA0XXQde3Ozj6IJTPbyfIZ2t7Avv5pP9xcyd1ym1iEJ0eUkRJg5UVJHmUwuKoTwIkmiCyGEEBeRlN6L7n0GaR2G8DKb3cnnh4pwqtAnMYLxfc+tNB+QEkVjs4Ovj5ex+UQ56bFh7smshBDBq7TWlZQxG3RYQo0aRyP80YzByezLr+ajfWcliS6EBuJb+qJLEl0I4U06rQMQQgghhNDa5pNl1DTZiQwxMHlA0gVbtQxLiyYjLgyHqrL2ULG0NxCiCyhqaeWSbAmRNk7ivKZnJaFTYHduFXkVnmsDJ4Ron9aihop6Gw6nnJsJIbxDkuhCCCGE6NIq6m3sL6gGYPKAJEyGC58eKYrCpAFJmPQ6SmqtHCmq9VWYQgiNuCcVlV7X4gISI82M6RkHwKr9ZzWORoiuJzLEgEmvw6lCVYNN63CEEEFKkuhCCCGE6NK+OVGGqkLP+HDSY8MuuX6E2cDIDFc/9C2nyrE7nN4OUQihIfekohZJoosLmzU0FYCP9koSXQhfUxSF2HBXS5fyekmiCyG8Q5LoQgghhOiyKm0Kp8rqUYCxveLa/bor0qKJMBuobbJz8GyN9wIUQmiuNYmeHCVzIIjzs9lsTOoXh1GvcKSolkP5FdhstvMudrtd63CFCEpxLX3Ry+skiS6E8A5JogshhBCiyzpa4zoV6pscSVwHJgk16HWMaKlG351bibTfFCJ4FdW4JqpLipJKdNGWw2EHRUdkZCSJ0RFUH9kKwNg7f4nZbD7vkt4jQxLpQnhBnLsSXSYXFUJ4h0HrAIQQQgghtGCITqGgwZVEH54e0+HXD0qJYtupCmqa7OQ3SF2CEMGquLUnuiTRxfeoThVUJ89+sAOTOYRjJfWsPVJGxqS7ufM3T5wzEa3D3syCm67E6ZQ2YEJ4mrRzEUJ4m3zjE0IIIUSXFDl8BqDQIy6MhMiOt2kw6HVckRYNwIlaOaUSwemrr75i5syZpKamoigKH374YZvnVVVl4cKFpKamEhoayoQJEzh48GCbdaxWK/PmzSM+Pp7w8HBmzZpFfn6+D4/i8hS1tnORnujiAvQGIwajiV5JUegVhapGOzU2MBhNbRa9wah1qEIErfiWOwqrG5plvhohhFfINz4RUMrqrKw+UMSHewrYdLwMa7ND65ACXn19PeXl5R1a6uvrtQ5bCCEuS5PdSUTWJAB3IrwzsrpFoVOg0qbDlNTLQ9EJ4T/q6+sZOnQoL7300nmff+6553jhhRd46aWX2LFjB8nJyUyZMoXa2lr3OvPnz2flypWsWLGCTZs2UVdXx4wZM3A4/P88TlXV7/RElyS6uDizQU96nGuC6hOldRpHIwRkZGSgKMo5y0MPPQTA3Llzz3luzJgxbbYRKBdCw0x6zAYdKlDZ0Kx1OEKIICTtXETAOFRYw9pDxe6fz1Q0cLyklllDU5GvNJ1TX19PRmYmZaWlHXpdfEICp3NyCA8P91JkQgjhXZtym9CFRBBuUOkRG9bp7YSZDPRJjORocS0Rw27wYIRC+Ifp06czffr08z6nqipLlizhySef5JZbbgHgjTfeICkpiXfeeYcHHniA6upqXn31Vd566y0mT54MwPLly0lLS2PdunVMmzbtvNu2Wq1Yrd/2ta2p0WYC3+rGZqx2V0VjZ+5YEV1Pr4RwcsrqOVFSx+jM9k9YLYQ37Nixo80FywMHDjBlyhRuv/1292PXX389r732mvtnk8nUZhvz589n1apVrFixgri4OB577DFmzJjBrl270Ov13j+IdlIUhbgIE2ermiivs8qYLYTwuIBKoi9evJjf/va3/PKXv2TJkiWA6+T9mWeeYdmyZVRWVjJ69Gj+/Oc/M2jQIPfrrFYrjz/+OO+++y6NjY1MmjSJl19+me7du2t0JKKj8ioaWH/YlUDvlRBORlw4O067+tB+nF3ITf2jNI4wMDU1NVFWWsqC19YQFmlp12saaqtZ/JNpNDU1SRJdCBGw1uU0AJAZ4TinZ21HDe5u4WhxLeEDxtPYLLcPi64jJyeHoqIipk6d6n7MbDYzfvx4Nm/ezAMPPMCuXbtobm5us05qaipZWVls3rz5gkn0xYsX88wzz3j9GC6ltZVLTJiREKP/JIuE/+qZEIFypISyOhtVDTaiw0yXfpEQXpKQkNDm59///vf06tWL8ePHux8zm80kJyef9/WdvRCqlbhwsyuJLn3RhRBeEDDtXHbs2MGyZcsYMmRIm8eD/RZSAXaHk88PFeNUoW9SBDcOTiGrm4U7RqYTYTZQ1dDM1jy5XfJyhEVaCI+KadfS3mS7EEL4q9Nl9Rwrb0Z1OugRfvlJ71RLCOEGFZ0phO1nmzwQoRCBoaioCICkpKQ2jyclJbmfKyoqwmQyERMTc8F1zmfBggVUV1e7l7y8PA9H3z7FNa5qeJlUVLRXqFFP9+hQAE6WSgtE4T9sNhvLly/npz/9aZsCgg0bNpCYmEjfvn25//77KSkpcT93qQuhF2K1WqmpqWmz+EKcTC4qhPCigEii19XVcdddd/G3v/2tzQn4928hzcrK4o033qChoYF33nkH+PbK6fPPP8/kyZMZNmwYy5cvJzs7m3Xr1l1wn1oN+uJcu3OrqLPaiTAbmDwgyf0HP9SkZ9og15e2o6VWjPHpWoYphBAiQHy4twCAptN7CfFAYamiKKSHuy7MbzwjSXTR9Xz/bg5VVS95h8el1jGbzURFRbVZtFBc7fqdliS66IjeiREAnCiRQh/hPz788EOqqqqYO3eu+7Hp06fz9ttv88UXX/D888+zY8cOrrvuOnc7rc5eCF28eDEWi8W9pKWleeWYvi8uoiWJXme9xJpCCNFxAZFEf+ihh7jxxhvdtw+1utQtpND5K6daDfqiraZmBzvPVABwde94jPq2H9nuMWH0SnC1FLGMu9Pn8QkhhAgsqqry4R5XEr3+4Jce2256mKuifX+xlZJaSaSLrqH19v/vJ1JKSkrc1enJycnYbDYqKysvuI4/K5JJRUUn9EpwJdGLapqobZIJDoV/ePXVV5k+fTqpqanux374wx9y4403kpWVxcyZM/nss884duwYn3zyyUW3dakLoVrdTRTbUole02THZpcWe0IIz/L7JPqKFSvYtWsXixcvPue5rnALaVd38GwNzQ6V+AgTfZMizrvOmJ6uCXvC+19NTnmjL8MTQnTQ4sWLURSF+fPnux9TVZWFCxeSmppKaGgoEyZM4ODBg21eZ7VamTdvHvHx8YSHhzNr1izy8/N9HL0IBnvzqjhd3oBZr9BwfKvHththBGvBEZwqrNpX6LHtCuHPMjMzSU5OZu3ate7HbDYbGzduZOzYsQAMHz4co9HYZp3CwkIOHDjgXseftSbRkyySRBftF242kNLymTklLV2EHzhz5gzr1q3jvvvuu+h6KSkp9OjRg+PHjwOdvxCq1d1EYSYDoS3zV1Q0SEsXIYRn+XUSPS8vj1/+8pe8/fbbhIRc+MQ1mG8h7cqcqsq+/CoArkiLvuC/V3yEmfRo1xXnD/YV+yo8IUQHydwWwh+0VqGP6mZGbfZsxXhdS2V76z6ECAZ1dXXs3buXvXv3Aq47Qffu3Utubq77ouiiRYtYuXIlBw4cYO7cuYSFhXHnna47BC0WC/feey+PPfYY69evZ8+ePdx9990MHjz4nLtM/VGJVKKLTurZcrdsTpkk0YX2XnvtNRITE7nxxhsvul55eTl5eXmkpKQAgXkhVFq6CCG8xa+T6Lt27aKkpIThw4djMBgwGAxs3LiR//f//h8Gg8F95TOYbyHtyvKqbNQ22Qkx6uiXFHnRdQckuL7YfHywlKZmSaoJ4W+0mNtCiO9rdjj5eL+rSnx8j1CPb7/hyNfoFcguqJY+uCJo7Ny5k2HDhjFs2DAAHn30UYYNG8Z//dd/AfDEE08wf/58HnzwQUaMGEFBQQGff/45kZHfnru9+OKL3HzzzcyePZtx48YRFhbGqlWr0Os9MCmBl7kr0aPMGkciAk3PeNddtPmVjdJWQmjK6XTy2muvcc8992AwGNyP19XV8fjjj7NlyxZOnz7Nhg0bmDlzJvHx8fzgBz8AAvNCaOvkohUyuagQwsP8Ook+adIksrOz3dUve/fuZcSIEdx1113s3buXnj17Bv0tpF3ZiXLXleOBKVEY9Bf/qHazGLFXl1DT5GD1gQu36RFCaMPXc1vI5NDifDadKKO83kZcuImhSZ5PiDkbaxiW7NruR3ulGl0EhwkTJqCq6jnL66+/DrjuCF24cCGFhYU0NTWxceNGsrKy2mwjJCSEpUuXUl5eTkNDA6tWrQqY+YaKql3nozKxqOiomDAj0aFGHKrKmQqpRhfaWbduHbm5ufz0pz9t87heryc7O5ubbrqJvn37cs8999C3b1+2bNkS0BdC4yJc52LldZJEF0J4luHSq2gnMjLynJPw8PBw4uLi3I+33kLap08f+vTpw6JFiy54C2lcXByxsbE8/vjjfn3lVIBiCiO3yvVHr1/yxavQAXSKQl32WqKvvouP9p3l5mHdvB2iEKKdWue22Llz5znPXWxuizNnzrjX6ejcFosXL+aZZ57xRPgiiKxpucg6fXAyep13Jnoblx7KzkIrqw8W8ejUfl7ZhxDCN5odTsrrXUn0ZOmJLjpIURQyE8LZk1tFTmk9fRIv/Z1GCG+YOnUqqqqe83hoaChr1qy55OtbL4QuXbrUG+F5XGslerlUogshPMyvK9HbI9hvIe2qwvqNxaFCbJiJhIj2VQvWH/kagK+Pl1Ld4J3kiBCiY7Sa20Imhxbf53CqrD3kmjfj+kEpXtvPiBQzBp3CseI6TpVKSxchAllprRVVBaNeITbMpHU4IgD1jG/pi15ej/M8SUwhhOe1JtHrrHas0upVCOFBAZdE37BhA0uWLHH/HOy3kHZV4f2vAVxV6JdKpLWyl+fTOz6MZofKmkPS0kUIf6DV3BYyObT4vp2nKyivt2EJNTK6Z6zX9hNu0nFVrzgA1hyUya6FCGSt/dATI0PQ6dp3PirEd6VaQjEbdDQ1Oyms9uxk1kKI8zMb9USYXU0XpBpdCOFJAZdEF8GvzmonpMcQAHonRnTotVP7uxIXn7RMHCeE0JbMbSH8RWtCe1L/RIyXmGfjck0blNyyT7mgK0QgK66WSUXF5dHpFDJaq9FLpS+6EL4iLV2EEN4gSXThdzbnVKPojVhC9MSGd+zW2ev6uqoLt5wsp95q90Z4QogOaJ3b4rvLd+e2UBTFPbfFypUrOXDgAHPnzr3g3Bbr169nz5493H333TK3hWg3VVXdCe1pWcle39/UgUkoCuzNq6JIKg+FCFhnW35/U6JDNY5EBLLWli6nyqTFlxC+EhvhyiNUyOSiQggP8uuJRUXXtPFEBQDp0R3vPZkRG0J6bBi5FQ1sOlHmrgYUQvivJ554gsbGRh588EEqKysZPXr0eee2MBgMzJ49m8bGRiZNmsTrr78uc1uIdjl4toaCqkZCjDqu7ZPg9f0lRoUwLC2a3blVfH6oiB9fleH1fQohPO9sVSMA3SSJLi5Dj7gwdApUNjRTJfM2CeET31aiWzWORAgRTKQSXfgVu8PJN6eqAOjRiSS6oihc1z8RgC8Ol3gyNCGEh8jcFsLXWqvQx/dNINTkmwsv0tJFiMBXUClJdHH5zAY93WJcn6GcikaNoxGia4gLd7XhknYuQghPkiS68Cv7C6qptTpwNNaSGNG5GyUmDWhJoh8twelUPRmeEEKIAPR5Sz90X96d1LqvracqqGqQL3BCBKKz1a6EZ6ok0cVl6hnvmufpdHmDxpEI0TW0toVtsDlotDk0jkYIESwkiS78yqbjZQA05e5Hpyid2saozFjCTHpKa60cKar1ZHhCCCECTF5FA0eLa9HrFCb1T/LZfjPiw+mXFInDqbLxWKnP9iuE8JzWdi6p0SEaRyICXWtf9MJqK7qQyEusLYS4XCaDjqgQV1GetHQRQniKJNGFX3En0U/v7fQ2zAY9ozJdE4x+c6LME2EJIYQIUF8edbX2Gt4jBkuY0af7ntjaXuyItBcTItA0NTsoa5mQTtq5iMsVFWokLsKECoT2HK51OEJ0CXER0tJFCOFZkkQXfqPeamd3biUATaf3XNa2xvWKB+Cbk5JEF0KIrmx9y/wYrfNl+FLrPjccLcXucPp8/0KIziusbgIgzKTHEurbC3AiOLVWo4f2HqVxJEJ0Da0tXcrrJIkuhPAMSaILv7Etpxy7U6WbxYy96vImYhvbOw6A7TkV2OySuBBCiK6owWZny6lyQJsk+pXp0VhCjVQ3NrMnr8rn+xdCdN63rVxCUTrZYlCI72rtix7ac7h8PxHCB+JbkugVUokuhPAQSaILv/F1SyuXUT0sl72tAclRxIabaLA52JdfddnbE0IIEXg2nyjHZnfSPSaUPokRPt+/Qa9jfN8EQFq6CBFoCqpkUlHhWUlRZkKNOnTmcHacqdQ6HCGCXmxEayW6FVVVNY5GCBEMJIku/EZr//LRGZefRNfpFK7qFddmu0IIIbqWL45+28pFq0rS1gr4LyWJLkRAKah0JdGlH7rwFEVRyIh1fZ6+PCoTTgvhbbFhJhSgye6kwebQOhwhRBCQJLrwC8U1TRwrrkNRYGR6lEe22doXffOJco9sTwghROBQVdWduJ6oQSuXVuP7JqBT4EhRrbuyVQjh/1rbuXSLDtE4EhFMMuLCAPjiaJlUxgrhZQa9zj2pvEwuKoTwBEmiC7+wqaWVS1aqhWgPTd40rqUv+u7cSuqtdo9sUwghRGA4XFhLYXUTIUYdV/WM0yyOmHATw9JjAGnpIkQgOVst7VyE56XFhKDabeRXNnKsuE7rcIQIenHh37Z0EUKIyyVJdOEXNp90VYuP6x3vsW2mx4bRPSYUu1Nl++kKj21XCCGE//uypZXL1b3jCTHqNY1FWroIEXjOVjUBkkQXnmXU62g8vReAdYeLtQ1GiC4gLtwMSCW6EMIzJIku/MK2HFcSvbWPuScoivKdli7SF10IIbqSL/yglUur1iT65pNlNDVLT04h/J2qqu72S9ITXXha44ntgCTRhfCFuJbJRSskiS6E8ABJogvNFVQ1kl/ZiF6nMLxHjEe3PbalpcuWU9IXXQghuoqKeht7cisBmNhP+yR6/+RIUiwhNDU72XJS/h4J4e/K623Y7E4UBZKipCe68KzGkzsA2JtXRZm0mBDCq75t52JDpiEQQlwuSaILzW1vqULPSo0iwmzw6LbHtPTBPXS2hpqmZo9uWwghhH/aeKwEp+pKXvtDKwZFUdwV8euPSOWhEP6udVLRxEgzJoN8XRKe5agrJys1ElWVuTKE8LboMBM6BWwOJ41yM6AQ4jLJWaHQ3PYcV7/yUZmxHt92UlQIGXFhOFXYKX3RhRCiS/jiSCnwbRsVf3Bdv9a+6KWoUgolhF8rqJRWLsK7JvZLAGDdIbmwKoQ36XUKMWGuavSaZkXjaIQQgU6S6EJz2065ktujMz3XD/27WqvRt56SJLoQQgQ7u8PJxpZJRScN8J8k+rje8ZgNOgqqGjlWXKd1OEKIi2jth+4Pd7KI4HRdSxL96+MyV4bwroULF6IoSpslOTnZ/byqqixcuJDU1FRCQ0OZMGECBw8ebLMNq9XKvHnziI+PJzw8nFmzZpGfn+/rQ+m02HBJogshPEOS6EJTJbVNnCqrR1FgZIbnK9EBRvd0bXeb9EUXQoigtzu3ipomOzFhRq5I8+w8G5cj1KR3T54tt+8L4d/OVjUBUokuvGdgSiTJUSE0Njtk7ibhdYMGDaKwsNC9ZGdnu5977rnneOGFF3jppZfYsWMHycnJTJkyhdraWvc68+fPZ+XKlaxYsYJNmzZRV1fHjBkzcDgC4wJQ6+SikkQXQlwuSaILTe3IcU381j85CkuY0Sv7aK1wP3C2hjqr3Sv7EEII4R9ae46P75uAXudfX5Za28t8IX3RhfBrZ6USXXiZoijuu6WkpYvwNoPBQHJysntJSHDdCaGqKkuWLOHJJ5/klltuISsrizfeeIOGhgbeeecdAKqrq3n11Vd5/vnnmTx5MsOGDWP58uVkZ2ezbt06LQ+r3eLCzYAk0YUQl0+S6EJT21omFR3thX7orVKjQ0mLDcXhVKUvuhBCBLkvW6q8J/pRP/RWE1v6ou86U0lVg03jaIQQF3K2WpLowvsmD0gCYP3hEpkrQ3jV8ePHSU1NJTMzkzvuuINTp04BkJOTQ1FREVOnTnWvazabGT9+PJs3bwZg165dNDc3t1knNTWVrKws9zrnY7VaqampabNopW0luiTShRCdJ0l0oanWSUW9mUQHGJMpfdGFECLY5Vc2cKy4Dr1OYXzfBK3DOUdabBh9kyJwqrDxWKnW4QghLuDbSvQQjSMRweyqXnGEGvUU1TRx8Kx2CUYR3EaPHs2bb77JmjVr+Nvf/kZRURFjx46lvLycoqIiAJKSktq8Jikpyf1cUVERJpOJmJiYC65zPosXL8ZisbiXtLQ0Dx9Z+1lCjeh1Cg5VwWDxvyILIUTgkCS60ExlvY0jRa5eayO9nEQf3TK5aGvluxBCiODT2mt8eHoM0WEmjaM5v+v6u76oSl90IfxTvdVOWZ3rTpHuMWEaRyOCWYhRzzV94gH4XFq6CC+ZPn06t956K4MHD2by5Ml88sknALzxxhvudRSlbXW2qqrnPPZ9l1pnwYIFVFdXu5e8vLzLOIrLo1MUYlvOC40JPTSLQwgR+CSJLjSzo6W1Sq+EcOIjzF7dV2ule3Z+NQ026YsuhBDBaN1hV2K6tc+sP2qNbcPRUuwOp8bRCCG+L7eiAYDoMCOWUO/M1yNEq+uzkgFYfaBQ40hEVxEeHs7gwYM5fvw4ycmuz9/3K8pLSkrc1enJycnYbDYqKysvuM75mM1moqKi2ixaim1p6WKMlyS6EKLzJIkuNONu5dJSJe5NabFhdIsOxe5U2XWm8tIvEEIIEVDqrHa2nnTdbeTPSfQr02OIDjNS3dgsf4+E8EOtSfT0WKlCF943aUASRr3CseI6TpTUaR2O6AKsViuHDx8mJSWFzMxMkpOTWbt2rft5m83Gxo0bGTt2LADDhw/HaDS2WaewsJADBw641wkEceGuJLpJkuhCiMsgSXShmW0+6ofeanRP1362npKWLkIIEWw2HS/D5nDSIy6MXgkRWodzQXqd4p5gdL20dBHC7+SWSxJd+I4l1Mi43q6WLlKNLrzh8ccfZ+PGjeTk5LBt2zZuu+02ampquOeee1AUhfnz57No0SJWrlzJgQMHmDt3LmFhYdx5550AWCwW7r33Xh577DHWr1/Pnj17uPvuu93tYQJFaxJd2rkIIS6HJNGFJmqbmjl4thqAUT5KordOLrpNJhcVQoigs/6wq5/sdf0TL9nHU2utlfKtMQsh/EdrJXqPOEmiC9+Y3tLS5dPsC0/SKERn5efn86Mf/Yh+/fpxyy23YDKZ2Lp1Kz16uJLJTzzxBPPnz+fBBx9kxIgRFBQU8PnnnxMZGenexosvvsjNN9/M7NmzGTduHGFhYaxatQq9Xq/VYXVYfKSrfawxLg2bQ9U4GiFEoDJoHUCwcjpVmqXX6QXtOlOJU3VV+aRYQn2yz9ZK9H35VTTaHISaAuePvhBCiAtzOlW+POqq6p484ML9Of3FtX0TMOgUTpbWc7qsnoz4cK1DEkK0OCPtXISPTRmYzG9XHuBQYQ1nyuvpESd/E4TnrFix4qLPK4rCwoULWbhw4QXXCQkJYenSpSxdutTD0flOpNmASadiw0BudTNjtA5ICBGQpBLdS44U1XLNn3aQMvdPbM2to94qk1l+V2srF19VoYPry1ByVAjNDpU9udKHVgghgsW+/CrK6mxEmg2MzPDd35XOigoxuv/+SUsXIfxLnjuJLolM4Rux4SbGtBT7fHZAqtGF8AZFUYg2uSrQT1Y2axyNECJQSRLdS44W19DsUDEl9eJAcROvbz7NseJarcPyG9t93A8dXH84x0hfdCGECDpftCSir+2bgMkQGKc21/WXli5C+BuHUyW/siWJLu1chA9dn5UCSBJdCG+KaUmin6qUAkchROcExjfNAHTzFd346P4rKP1wMYnhBuxOlc8OFLE/v0rr0DTXaHO434fRLX3KfWV0T9f+tuZIX3QhhAgW6w67kuitielA0Np2ZntOBTVNUhElhD84W9XoKoLR60iOCtE6HNGFTBuUhKLAvrwq990QQgjPija52u2ekkp0IUQnSRLdSxRFoVt0CA1Hv2HGAAtXdI8GYMPRUk6X12sbnMb25FbS7FBJjgohLdY3/dBbtVa+782roqnZ4dN9CyGE8LyzVY0cLqxBUWBiACXRM+LD6ZkQjt2p8vWxMq3DERfQYLNzoqSO4zU6LON+pHU4wstaJxXtHhOKXuffExSL4JIYGcLYXq5in3/vLdA4GiGCU2s7lzPVzdjsMn+dEKLjJInuAzpF4dq+8QxKjULFdZtebReuOmvthz66ZyyK4tsvKJnx4SREmrHZnezNq/LpvoUQQnhea0/xK9NjiA03aRxNx7RWo0tLF/9TUNnIh3sL+NvXOXySXcj+KgPRV9+F3alqHZrfWbhwIYqitFmSk5Pdz6uqysKFC0lNTSU0NJQJEyZw8OBBDSO+sFNlrkKXTJnsV3iZzWY7Z5k52PV788HuAqxWq/txu11aTwjhCeF6cDTVYXfC8RJptSuE6DhJovuIoihM7JdIUpQrgbv+SAmq2jW/iG3XYFLRVq6+6C0tXaQvuhBCBLwvWhLQkwYEThV6q9b2M18eLcEhyVm/YLU7+PxQEf/anc+ZcldVcnyEie5hDmp2fkSzQ/6dzmfQoEEUFha6l+zsbPdzzz33HC+88AIvvfQSO3bsIDk5mSlTplBb638JjFOldQD0TJAkuvAOh8MOio7IyEjMZnOb5c5rB+JstnKqrJ6oHoPcj6f3yJBEuhAeoChgKzoJwIGCao2jEUIEIr9Ooi9evJiRI0cSGRlJYmIiN998M0ePHm2zTnuqW6xWK/PmzSM+Pp7w8HBmzZpFfn6+Lw8FAL1OYerAZPQ6hTPlDRwrrvN5DFqz2Z3szq0EfDup6He17nfbKemLLoQQgazBZuebk64LopP6J2kcTceN6BGDJdRIZUOz+2+j0E5FvY0VO/I4XOhK7malRnHPVT24a3QPRsc7qFy/jFCjX586a8ZgMJCcnOxeEhISANd5+pIlS3jyySe55ZZbyMrK4o033qChoYF33nlH46jPdaq0tRI9QuNIRLBSnSqoTp79YAfPfZLdZvnDyu30TY0B4Pon/85zn2Sz+N+7KTxbgNMprSeE8ARb8QkADhTUaByJECIQ+fU3gY0bN/LQQw+xdetW1q5di91uZ+rUqdTXf9tTvD3VLfPnz2flypWsWLGCTZs2UVdXx4wZM3A4fN8TOzbcxMgM18nRphNlNDu61gnR/vwqrHYnceEmeiVo8wVlTE9XEn13biVWu/RFF0KIQLXhaCk2u5O02FD6JgVe0sug17mr0dccKNI4mq6tuKaJf+7Ko6qhmQizgdkjujNpQBLRYYHVIkgrx48fJzU1lczMTO644w5OnToFQE5ODkVFRUydOtW9rtlsZvz48WzevPmi27RardTU1LRZvC2npZ2LVKILb9MbjBiMpnOWAakWAI6XNqDTG9EbjBpHKkRwsRW3VKKflUp0IUTH+XUSffXq1cydO5dBgwYxdOhQXnvtNXJzc9m1axfQvuqW6upqXn31VZ5//nkmT57MsGHDWL58OdnZ2axbt+6C+/bmifvw9BgiQwzUWe3sya3y2HYDwbbvtHLxdT/0Vr0SIoiPMGG1O9mfL388hfCmYLujSPiX1S2J5+lZKZr9Tblc0wa5euCuPljUZdu8aa201soHewpoanaSFGXmR6PSSLH4duLzQDZ69GjefPNN1qxZw9/+9jeKiooYO3Ys5eXlFBW5fkeTktreKZKUlOR+7kIWL16MxWJxL2lpaV47BnC18smvdLXwkSS60EqP2HBCjDoabA7yWj6PQgjPsRW5KtEPF9Zg72IFjUKIy+fXSfTvq652JTxjY12VxO2pbtm1axfNzc1t1klNTSUrK+uiFTDePHE36HXu2de7WjW0lv3QWymKwujMlr7oJ6UvuhDeFMh3FD37dQXdfv53vigy8MWREk6V1eGUJKffsNodfNEyqej1WcmXWNt/je+bQKhRT35lIwfPyq3FvlbT1MyHewuw2Z2kWEK4ZVh3wkwGrcMKKNOnT+fWW29l8ODBTJ48mU8++QSAN954w73O9y9yqap6yQtfCxYsoLq62r3k5eV5PvjvOFPegFOFCLOBhAizV/clxIXodQp9kyIBOFQofxOE8DR7ZSGhBoWmZicnS+sv/QIhhPiOgEmiq6rKo48+ytVXX01WVhZAu6pbioqKMJlMxMTEXHCd8/H2iXvfpEhiwoxdqhra7nCy60xrP/Q4TWMZ3dLSpbUyXgjhHVreUXS5yhocGCyJVNp0ZBdUs2pfIa9vPs3hwhqpGPYD35woo85qJynKzBXdo7UOp9NCTXom9HP1j14tLV18yu5w8sn+QhpsDuIjTNw0NBWTIWBOjf1WeHg4gwcP5vjx4yQnuy5wff+cu6Sk5Jzz9+8zm81ERUW1WbyptR96z4TwgL2zRQSHgSmuz/rJknoabV2n2EoI31DJjHG1ScqWyUWFEB0UMN8UHn74Yfbv38+77757znOdqW651DrePnHXKQojM1yJ3D25VV2iN3p2QTV1VjtRIQb6JUdqGktrEn/Xmcou8d4L4S98dUeRJ1py/fbqGArffJQx8c0M7W4hxKijtsnO54eK+WBPAbVNzR3epvCcz7JdSbnrByWj0wV2wqu1kv6zA4UaR9J1qKrKF0dKKKm1EmLUMXNIKmajXuuwgoLVauXw4cOkpKSQmZlJcnIya9eudT9vs9nYuHEjY8eO1TDKc50qqwMgM15auQhtJUWFkBhpxqGqHC6u0zocIYJOr5Yk+r68Km0DEUIEnIBIos+bN4+PPvqIL7/8ku7du7sfb091S3JyMjabjcrKyguuo5V+SZFYQo00NjvI7gLV6N+cKANgbK949BonPPokRhAT5nrvu8qdAEJozZd3FHmiJVdiuAFb4TG6halM6JfIveMyGdsrDoNOIb+ykXe353G2qrHD2xWXz+5wsvZwMQDTAriVS6vr+idi0us4WVrPiZLaS79AXLb9+dUcLqpFAW7ISiEqVCbv66zHH3+cjRs3kpOTw7Zt27jtttuoqanhnnvuQVEU5s+fz6JFi1i5ciUHDhxg7ty5hIWFceedd2odehsnSlzJSq0mvhfiu4Z0d00werCwDgjsC8VC+Jt+ca6/+XvyKi+xphBCtOXXSXRVVXn44Yf54IMP+OKLL8jMzGzzfHuqW4YPH47RaGyzTmFhIQcOHNC8AkanUxiR4UoK7cqtDPqJLb4+7kqij+sTr3Ekrve+tRp9W470RRfCF3x5R5E3WnIZ9DpGZsRy5+h0EiLMNDY7+GBPAWfKpZ+ir23LqaCqoZnYcBOjMrSbY8NTIkOMjOvt+pvUWmEvvKeszuo+J7m6dzxpsWEaRxTY8vPz+dGPfkS/fv245ZZbMJlMbN26lR49egDwxBNPMH/+fB588EFGjBhBQUEBn3/+OZGR2t6V+H3Hil0XsFr7UQuhpb5JkZgMOmqa7IRkDtM6HCGCSt84EwCHC2tpsNk1jkYIEUj8Oon+0EMPsXz5ct555x0iIyMpKiqiqKiIxkZX5V97qlssFgv33nsvjz32GOvXr2fPnj3cfffd7smPtDYgOYrIEAMNNgdHioK3+qzBZmd3rutK7zW9tU+iw7d90beekr7oQnibr+8o8mZLrpgwE7eP6E5mfDgOp8qq/YWSSPex1rYnUwYkYdD79alMu03PSgHgM+mL7lV2p5M1B4twqCqZ8eEMS4/WOqSAt2LFCs6ePYvNZqOgoID333+fgQMHup9XFIWFCxdSWFhIU1MTGzdudN+N5C8cTpXjLW0ztG45KASAUa9jYLLr3CXyiukaRyNEcIkP05McFYLDqcpd6UKIDvHrb56vvPIK1dXVTJgwgZSUFPfy3nvvuddpT3XLiy++yM0338zs2bMZN24cYWFhrFq1Cr1e+96Xep3CFWnRAOzNqwrayeq251TQ7FDpFh1Kjzj/qPhy90U/XRH0dwEIoZVgvaPIqNdx4+AUen4nkZ5X0aBJLF1Ns8PJpy3V2tMHB34rl1ZTBiZh0CkcKqxxt5UQnrf1VAVldTZCjXom9U+UCSQFALkVDVjtTkKMOtLlzgThJ7K6uZLoob1HUVjdpHE0QgSX1ovoe3KrNI1DCBFY/DqJrqrqeZe5c+e612lPdUtISAhLly6lvLychoYGVq1a1an+uN4yKCUKo16hvN7G2drgnKiutR/61b3j/eYLa/9kV0/6epuDA2c7PumgEOLSgvmOIr1O4YbBKe6K9I+zC6mst2kWT1ex6UQZFfU24iNMXO0ndzZ5Qky4iWv7JgDw0d4CjaMJTmerGtl1xnVHy3X9Ewk3GzSOSPiLoy13g/ZJjNR83h4hWsVFmOlmMaPo9Ly2+YzW4QgRVK5Md7XVbb1bXggh2sOvk+hdhdmoZ0DL7XoHi4OzysCf+qG30ukURmW6WrpsOSl90YXwhmC/o8iVSE8mxRKCze7ko31naWp2aBpTsPv3HleCecaQ1KBp5dLqpitSAfhw79mgvTNNK3ank3Utk9EOSImkd6JMHim+1ZpEl37owt9cmeaaYPS9nfmU11k1jkaI4HFlD1cSfefpCjnnEkK0W3B9+wxgrS1dcqtsGKKD5/Z0gNJaq7vf+7hecRpH01ZrPF8dK9U4Em0V1TbzzYkyPs0u5NPsQrbnVFAhFbXCA7rCHUUGnY4ZQ1KIDDFQ1djMpwcKcTrlZNwbGmx2Pj/kSoTOakk4B5MpA5MIM+nJrWhgT16V1uEElZ2nK6lsaCbMpOfaPglahyP8TOukov2lH7rwM2kxIVgLj9PY7OS1b05rHY4QQWNwNwshRh2VDc3SRk8I0W6SRPcTMeEmd6/wyCtnaByNZ20+6apCH5gSRVyEWeNo2prYPxGAHacrqGkKzlY6F3O4qI6ku/+Xj49Us/NMJcdL6jheUseWU+W8tfUMq/adpbYLvi9CdFSYycDMIakY9Qp5FY1sOSV3t3jD2kPFNNgc9IgLY1jLxedgEmYyMHWga7Lcj/ae1Tia4FFRb2Pnadft2uP7JhBi1H5OHOFfjhS52vr1SZI7FIR/URSF6q3/AOCNLae75PcVIbzBZNC5W7psy6nQOBohRKCQJLofaa1GjxgyhXpb8LQD2NTSyuVqP2rl0qpHXDg9E8KxO1W+aYmzq3hj82nmvn2QkG4D0Cuu6qvxfRO4pnc8mfHhKMCpsnqWb83ldHm91uEK4fcSIs1MGeBKgO48Uym/N17w75bE8k1DU/1mfg1Pu2lYNwA+3n9WJr32AFWFdYeLcagqGXFh9JE2LuJ76q12TpW5xuuBqVEaRyPEuRqPbaVXQji1TXbe2iK90YXwlNbWrtsliS6EaCdJovuRHrFhWEL06MzhfHwgONqLOJ0qXx51Hcs1fphEB5jYz1WN/uXREo0j8Q1VVXlu9RGe/uggdqdK/dFv+OGQWKYNSuaKtGiu7BHDrKGp3D2mB8lRIdgcrj7Phwtl8lUhLqVPUiRDurn6l35+sJi6JrvGEQWPinqbu/XWrCu6aRyN91zdO57YcBNldTY2nehaF3e9IadOR2F1E0a9wsT+iUF78UV03qHCGlQVkqNCSIwM0TocIc5D5YFrMgD429enqG6QanTRfosXL2bkyJFERkaSmJjIzTffzNGjR9usM3fuXBRFabOMGTOmzTpWq5V58+YRHx9PeHg4s2bNIj8/35eH4nHfTaJLX3QhRHtIEt2PKIrCoETXyfuK3UVB0VN3b34VZXVWIs0GRmf6Vz/0Vt8m0UuD4j2/lKVfnODlDScBeOiaNMo+XEyY6dyhIDbcxG3DuzMgJRJVdbVRON7SM1QIcWHX9IknIcJMY7OD1QeLcMpJuUd8uKcAu1Mlq1tUUE8KadTrmDkkBYB/7QrsL6da00fEkl3lat1yVc84okKMGkck/NH+/GoAslougArhj2YMTqZPYgRVDc38af1xrcMRAWTjxo089NBDbN26lbVr12K325k6dSr19W3vmLz++uspLCx0L59++mmb5+fPn8/KlStZsWIFmzZtoq6ujhkzZuBwBO4d9MPSYjDpdRTVNHG6vEHrcIQQAUCS6H6mT3wIzqY6ciub2HAs8Cuj17VMADe+XwImg39+3EZmxhBu0lNaa+VQkFdbf7A7nxfWHgPg6ZkD+emYi1dz6nUKUwYkMSg1ChVYc6iYsnqprBXiYgx6HdMHJ2PUKxRUNbp7MYvOU1WVd7bnAvDDkekaR+N9s0e6Js1dc7CIsjqrxtEErphJP8OuKiRFmRkahD30hWccKHAl0QdLEl34MYNex1MzBgLw5pbTMhGiaLfVq1czd+5cBg0axNChQ3nttdfIzc1l165dbdYzm80kJye7l9jYWPdz1dXVvPrqqzz//PNMnjyZYcOGsXz5crKzs1m3bt1592u1WqmpqWmz+JtQk54re0QDsOl4cHQCEEJ4l39mNbswo16hdv/nAPx902ltg/GAdYddSfQpLROl+SOzQc+43q5WM18eCfwLFxdytKiW367MBuDBCb34ybjMdr1OURSu659IZnw4DqfKuhM16EIivRmqEAEvJszkvstla045hdWNGkcU2HaeqeRESR2hRj03XZGqdTheNyjVwtDuFpodKu9LNXqn7DzbRHj/q1FQmdQ/CZ20cREXkN2aRO8u/dCFf7u2bwKT+idid6os+vSw1uGIAFVd7RrzvpskB9iwYQOJiYn07duX+++/n5KSb78X79q1i+bmZqZOnep+LDU1laysLDZv3nze/SxevBiLxeJe0tLSvHA0l+/qljyAtNATQrSHJNH9UO2uj9EproH8aFHgts84U17PseI69DqFCX0TtQ7noq7r74rviyDti15vtfOLt3fR1Ozk2r4JPD61X4der1MUpg1MwhJqpM7mJH7m4zi6QOsbIS5H/+RI+iW52iGtPlBEs8wR2WnvbHNVoc8amtplWnLcOdpVcf/u9twu0WrMk+qtdpbtdlW89Yl0khBp1jgi4a/qrXZOlroqeqWdiwgET944AINO4YsjJUFd/CO8Q1VVHn30Ua6++mqysrLcj0+fPp23336bL774gueff54dO3Zw3XXXYbW67oYrKirCZDIRExPTZntJSUkUFRWdd18LFiygurraveTl5XnvwC7D1X0SANh8slwmdBdCXJIk0f2Qo6aEiX1cV4Zf+yZH42g6b21LK5fRmbFYwvw76TGhpWJ0b14V5UF267yqqvx2ZTanSutJjgrhxdlD0ek6XpFnNuq5cXAKeh2E9hzO69vOeiFaIYKHoihM7J9AVIiBmiY7eyv0WocUkKoabHySXQjAj0YHfyuXVjOGpBJhNnC6vIGtp8q1DiegvLD2GGUNDuxVRQywBG6vVuF9+/KrZFJREVB6JkTwk3EZACz4IFsmGRUd8vDDD7N//37efffdNo//8Ic/5MYbbyQrK4uZM2fy2WefcezYMT755JOLbk9V1QtO2G02m4mKimqz+KPB3SxEhRiobbKzv+XOJCGEuBBJovupO4e7JhX7YE9BwCZ1W1u5TB7gv61cWiVbQhjczYKqwuctyf9g8fH+Qv699yx6ncJLdw4jLqLzFXkJkWbG9XBN6Ldscz6Hzvpfbzsh/InZoGfaoGQUILdBT/jACVqHFHDe312Aze5kYEoUQ7t3nUrRcLOBm4e5Wte83dIPXlxadn61uwCh/POX8dPpWISfaJ2zYkRGzCXWFMJ/PDqlHz3jwymqaeKpfx/QOhwRIObNm8dHH33El19+Sffu3S+6bkpKCj169OD4cdcktsnJydhsNior287zU1JSQlKS/3/Xvxi9TnG3dt1wVPqiCyEuTr5a+Kmh3SIY0t2Cze5038YeSKoabOxo+WLiz/3Qv2v64GQAPm2peAwG5XVWnv7oIADzruvNiIzYS7zi0vrEmWk4tgW7U+XRf+zFZpfb3oS4mNToUEZnun73Yqc+SFGdTM7bXk6nyjvbzgCuKvQLVTsFqx+NclXef36wiJLaJo2j8X92h5MFK/fjVOHqtBCacnZrHZLwcztOVwAw0gPnR0L4SqhJzws/vAK9TuGjfWf5aJ/cHSouTFVVHn74YT744AO++OILMjMvPS9WeXk5eXl5pKS4CvuGDx+O0Whk7dq17nUKCws5cOAAY8eO9VrsvtLa2nX94eAqphNCeJ4k0f2Uoij8tGXixze3ngm4ROW6wyU4nCr9kiJJiw3TOpx2mZ7lOknYfLKcynqbxtF4xjOrDlFRb6N/ciQPTujtkW0qikL5mj9jCTVwpKiWpV8c98h2hQhmIzNiiTM70ZnDWLKtimbpudgu64+UcLK0nkizgZu7wISi3zco1cLwHjE0O1Re++a01uH4vdc3n+ZAQQ1RIQZ+Osw/bxsX/sPucLL7jKvgQ5LoItBckRbNQxNd5/b/uTKb02X1Gkck/NVDDz3E8uXLeeedd4iMjKSoqIiioiIaG12T3tfV1fH444+zZcsWTp8+zYYNG5g5cybx8fH84Ac/AMBisXDvvffy2GOPsX79evbs2cPdd9/N4MGDmTx5spaH5xET+yeiKHDwbA2F1Y1ahyOE8GOSRPdjNwxOISnKTGmtlY/3B1aFwb/3FgBw45AUjSNpv8z4cPonR+Jwqqw5eP4JUgLJ2kPFfLTvLDoFnrttCCYP3tPubKjit1NcF3le3nCS7HzpHyfExeh0CiPj7Dib6jhW3szS9XLxqT3+svEkAHeN6UFkF5lQ9PseuLYnAMu3nqG2SXrfXkhBVSMvrD0GwIIbBhAdInMQiIs7UlRLvc1BpNlAv+RIrcMRosPmXdebK9KiqWmyc9+bO6mRvxHiPF555RWqq6uZMGECKSkp7uW9994DQK/Xk52dzU033UTfvn2555576Nu3L1u2bCEy8tux8cUXX+Tmm29m9uzZjBs3jrCwMFatWoVeH/h/b+MjzAxLiwZg/WGZsFcIcWGSRPdjJoOOH1+VAcCrm3JQVVXbgNqptNbKNyfKAJg1NLAqB2e2xPthy0WAQFXd2MyTK7MBuP/angzpHu3xfUzuF8eNQ1JwOFWeeH+/VNYKcQnhBihf82cAXvryBNtkssiL2nG6gl1nKjHpdfy0ZRK1rmjygCR6J0ZQ22QPyPZuvqCqKgs+yKbB5mBkRgw/HJGmdUgiAGzLcbVyGZ4Rg74TE64LoTWjXseyOcNJjgrhREkdj7y7B4czML4vCt9RVfW8y9y5cwEIDQ1lzZo1lJSUYLPZOHPmDK+//jppaW3/loaEhLB06VLKy8tpaGhg1apV56wTyCa1zOMWbPOjCSE8S5Lofu5Ho9IJMeo4eLaGTS2JaX/3aXYhThWGpkWTER+udTgdclNLu4CtpyooqArcW7kWfXKYklormfHh/GpyX6/t55lZg4gOM3K4sIZlX53y2n6ECBYNR75mYkYoThV+9d5eqhukauxC/tpShX7r8G4kRoVoHI12dDqFn7VUo//9mxysdofGEfmfFTvy+OpYKWaDjsW3DEEnCVHRDl8fd00gd1XPOI0jEaLzEqNC+NuPRxBi1LHhaCnPrDoYMIVXQviT6Vmu+dE2nygLmtauQgjPkyS6n4sNN3HnqB4A/Gnd8YA4KfrXrnwAbgqwKnSA7jFh7gkAP9wTmNXoXx8v5b2deSgtbVxCjN67xS4+wszTMwcCrs/niZI6r+1LiGBx37AoMuLCOFvdxIKV+wNiXPe1Y8W1rDtcgqLA/df01Doczd18RTeSoswU11j5957Aau/mbfmVDTz78SEAfj2tH70TIzSOSASCpmYHW0667gaa0C9R42iEuDSbzXbBpV9iKL//wSAA3txyhsWfHpZzCyE6qGdCBANTorA7VVYHQWtXIYR3GLQOQFzaA+N7snzbGXaeqWTLyXLG9o7XOqQLOlBQTXZBNUa9ws3DumkdTqfcemV3tuVU8K9d+Tw4oReKEjgVbfVWO//xvquNy4/H9PDJRFk3X9GNf+89y4ajpfzm/f3884GrpApQiIsINer40x3DuPWVzXyaXcQ/d+Yze2Tw3A7rCUvWuXpbTxuYTM8ESYqaDDruvTqTRZ8eYemXx7lpWCpmQ+D3IL1cTqfKb97fT73NwYgeMfykZUJ2IS5lW04FVruTFEsIfZNkjBH+y+Gwg6Jr05v6QiKumE7ctIdY9nUOIUYdj07t74MIhQgeM4amcKiwho/3n+VHo9K1DkeIgJebm0tZmec6asTHx5Oeru3vpiTRA0BSVAg/GpnGG1vO8Kf1x/06if6PnXkATB2UTGy4SeNoOueGISn87uND5JTV+/1Fi+/73zVHKahqpFt0KE9c75sTZ0VR+J8fDGbqCxvZdaaSt7ae4Z6xGT7ZtxCBamhaNI9N7ccfVh/h6Y8OMjwjhl6SLAZg15lKPs0uQqfA/Cl9tA7Hb9w9pgf/93UOeRWNvLXlDPdJhT7/t+kU35woJ8So44+3D5W+1qLdNhx1TRw3vm9CQBVLiK5HdaqgOnn2gx2YzJdubbYnt5LNp2v4f1+cxO503aEjn3Eh2mfmkFSeW32ULSfLKaxuJMUSqnVIQgSs3Nxc+g8YQGNDg8e2GRoWxpHDhzVNpEsSPUD8fEIv3t2ex7acCraeKmeMH/ZvrLfaWdnSAiWQJ/WKMBu4eVgqy7fm8va23IBJou84XcEbW04DsPiWwYSbfffr3S06lP+4YQBPfXiAP6w+wqQBiXSPCfPZ/oUIRA9c25OvjpWy5VQ5v1yxhw9+MQ6ToWt3WVNVlf/5xNWa4/bhafRPjtI4Iv8RZjLw2NS+/Ob9bJZ+cYLbh6dhCTNqHZZm9uRW8tzqowD814xBATcHi9COqqqsO+yaOG5CvwSNoxGiffQGIwbjpQuUhqXH8MlrS4iZ+FNe3nCS8job//ODLAz6rn1+IUR7pMW6Wrtuy6ngXzvzmTdJijmE6KyysjIaGxq46zf/S1J6r8veXnHuSd7+w68pKyvTNIkuf00DRIollNtHdAfgj2uO+mWfu/d351PbZCcjLoyrAyTxfCGtfejXHCyisNr/Jxitt9p5/J/7UFW4fXh3ru3r+y+Fd41KZ1RGLA02B79decAvP6NC+BOdTuGFHw4lOszIgYIaFspkYKw+UMTu3CpCjXoeneq9SZED1W3D0+iXFEl1YzMvfXlc63A0U93YzLx392B3qtw4JIUfjQrcC/fC9/blV5NX0UiYSa/J+ZIQ3laz/QOevWkAOgXe25nHz5fvpqlZJqUWoj3uaDmneG9nHk5n1z4vF8ITktJ70b3PoMtePJGI9wRJogeQh6/rTahRz84zlXy8v1DrcNpwOlVe++Y0AD8ZlxnwPbEHpkYxKiMWu1Pl9Zbj8meLPzvMmfIGUiwh/OeMgZrEoNMp/P7WwZgMOr46VsqKHXmaxCFEIEmxhPLC7KEoCryzLZe3tp7ROiTNWO0O/rD6CAD3X5NJUtSlb1vvavQ6hQU3uFp1vbH5DLnlnrs9MlA4nSq/+dd+8isb6R4TyuJbBkurAtEhq/a5JuedPCCJMJPclCuC0+zh3fnL3cMxG3SsO1zMnFe3UVlv0zosIfze9KwUIkMM5Fc28tXxUq3DEUL4GUmiB5AUSyg/H++6+vL7z474VUXB54eKySmrJzLEwG3Du2sdjkc8MN7Vb/adbbnUNjVrHM2FbThawvKtuQD88fahWEK1u72/Z0IEj7dUj/5u1SFOldZpFosQgeK6/kn8pmUOg2dWHWLTcc9NvhJIXv7yJKfLG4iPMPOz8f5RaeCPxvdN4Jo+8dgcTn7z/v4uVyX1p/XHWX2wCKNeYemPhhEV0nVb2oiOczpVPmkpRJk5NFXjaITwHpvNxoQ+sfz9x1cSGWJgx+lKZr20iYP5FdhsNvdit9u1DlUIvxJi1HP7cFc1+qubcjSORgjhbySJHmB+dm1PUi0hFFQ1suyrU1qHA7i+kPxpveu28nuuyvBpL25vmtgvkd6JEdRa7X5bjV5Zb+OJf+0HYO7YDMb5QRud+67uydhecTQ2O/jlir3Y7E6tQxLC7z1wbU9uGdYNh1PlF2/v4tDZGq1D8qljxbW8vOEEAE/PHEhEkPwd8QZFUXj25ixCjXq2nCpn+bauc/fCx/vPus83/ucHgxmWHqNxRCLQbDhWQlFNE5ZQI9f21f6cSQhPczjsoOiIjIzEbDZzdb9kjv75ZzRXFZFX2cj059cTPWAcZrMZs9lMeo8MSaQL8T0/GZeBToGvj5d1uXNyIcTFSRI9wISa9PzHDQMAeGXDSc5Wad+v+/NDRRwurCHCbOC+azK1DsdjdDqFedf1BmDZ16eoavCvWyAdTpVHVuyhpNZKz4RwdyWr1nQ6hRdmX4El1Eh2QTUvrD2mdUhC+D1FUVh0y2BGZsRQ22Tnx3/fzumyeq3D8gmr3XXBrdmhMql/IjOGpGgdkt/rERfubuuy+NMjXeKzsie3ksf/uQ+A+67OZHYAT2AutPP6ZtdFp9kjumM26DWORgjPU50qqE6e/WAHz32SzXOfZPM/b3zCA9NHkGoxozOHkXj7Qn70l00s+nAXhWcLcDql4EWI70qLDWP6YNf5aGuRhxBCgCTRA9LMISmMzIihsdnBf3yQrelEdFa7g99/5uph+5NxGUSHXXrW+EAyc0gq/ZMjqW2y88qGk1qH08af1h/n6+NlhBh1/PnOKwk1+c+XwWRLCH+4dTAAf9l4ktUH/KuHvyfU19dTXl7e7qW+PviTXOLyhBj1/N89IxmQEkVZnZW7X91GUXWT1mF53XOrj3K4sIbYcJP0t+6Au0f34Kqerrt+HvvnPpodwZsEOXS2hnv+vp2mZicT+iWwoKWYQIiOOFVax1fHSlEUmDMmQ+twhPAqvcGIwWhyL5FhodxyZRqDUqMA2JxTxbrj1SimUI0jFcI/PTjB1Vrw4/2FUo0uhEbsTicNNjvNDicapj3bkCR6AFIUhcW3DHFP4Pjudu0mcHxj82lOlzeQEGnmgSDsYavTKTxxfT8A/v5NDidK/KPH95dHSvh/Lbe0L75lMANSojSO6FzXZ6Xwk3EZAPzqvX0cLgyek4/6+noyMjOJj49v95KRmSmJdHFJllAjb/50FBlxYeRXNjL7r1vIqwjeySM/2nfW3W/yD7cOIVEmE203nU7huduGEGE2sOtMJYs+Pax1SF5xoqSOOa9uo6bJzvAeMfz5zivRB/jk5UIbS79wVRNO6p9IelyYxtEI4Xt6ncKk/olM6JuAToGTZQ2k3LOEo8W1WocmhN8ZlGpx3x353JojGkcjRPCraWzm4Nlq1h0uZvm2M/xl40n+/OVJ/vZ1Di9vOMkHeUbS5r+HXeP5oKTpaIDqnRjBr6f2438+Pcwzqw5yZY9o+if7NpGaV9HAknWuRO6vp/UL2h621/VPYlL/RNYfKeGpDw/w9n2j0Wn4Bf5AQTXz3t0DwJwxPfjBMP+dyPXJGwZwvLiOTSfKuO+NnXz08DjiIsxah3XZmpqaKCstZcFrawiLtFxy/Ybaahb/ZBpNTU2Eh4f7IEIRyBIizSy/bzR3/m0buRUN3PrKZpbfN5q+SZFah+ZRe3IreeJfrvYcPx/fiykDkzSOKPCkxYbx/OyhPPDWLl775jR9EiO5c3S61mF5zKGzNcx9bTvl9TYGpUbx97kjg2beFeFbR4pq+HBvAQC/nNRX42iE0I6iKAxNiyYxysyn2YXUxXbj9mXb+d1NWdw+vLvcDSbEdzw2tR+rDxSx4Wgpaw4WMW1QstYhCRFUGmx2jhTWcqykluIa6yXWVlD0JgwaF9NIJXoAu/fqTK7tm4DV7uTB5bupbmj22b6dTpVf/2sfDTYHozJjue1K/03kesLCWYMIMerYcqqc1zef1iyOU6V13PP37dRZ7YzpGct/zvDvW9oNeh0v3TmMHnFhFFQ1cs9r2336OfW2sEgL4VExl1zak2gX4ru6x4Txr59fRb+kSEpqrcz+6xY2HS/TOiyPOVFSy71v7HS35/j1tH5ahxSwpg1KZv7kPgD854fZfJodHO2zvjlRxuy/bqGk1kq/pEjeunc0llCj1mGJAKSqKs9+fBhVhRsHpzC4u/xNFiLFEsrsK1NoPLWLpmYnT/xrP79YvpvyukslMYToOjLjw/nZtT0BWPjRQWqagud7rBBaKqlt4vNDRfz9m9N8faKM4horCpBiCWF4jxhmDEnh7tHpPHBtT+Zd15tfjO/FDd1snH31F1qHLkn0QKbTKbw4eyiplhBOldXzi7d3YbU7fLLvJeuPs/VUBWEmPX+8baimldm+kBYbxpM3DgTg96uPkJ1f7fMYCqoamfOqqyIvq1sUf/vxiICYFCs6zMSr94wkLtzEgYIa5vx9G9WNcgIixKUkRoXw3gNjuCItmqqGZn789238ZeNJTefB8IRjxbXcsWwbFfU2hnS3SHsOD/jlpD78cEQaThUefmc3/9ypXZu3y6WqKu9uz2Xua64LxqMzY/nHz68iNjy45lwRvvPu9jw2nXDNISMX7IT4VqhRT8k/F/KrSb0x6BRWHyxi6otfseZgkdahCeE35l3Xh/TYMAqrm/itxvPRCRHIVFXlVGkd/9yZx7vb8zhcWIvDqZIYaWZCvwTuvTqT2SPSuLp3PL0SIoiLMBNi1KNTFEwGHaF6sFdp//dJkugBLi7CzKtzRxJu0rP5ZDkPv7PH65OLfZpd6O7H/ezNWV2mr+Tdo9OZPCARm93J/W/upLjGdxP+HSio5gd//oaCqkZ6xofz+k9GERkSOBV5vRMjeOf+McSGm9ifX82P/76dMql0EeKSosNMrPjZGG4b3h2nCr//7Aj3v7mLEh+OP5605WQ5t72ymbI6KwNTonjjJ6OkPYcHKIrC//wgi9kjXJ+TX/9rP//39amA+6JX09TMvHf3sOCDbJodKjcOSeHNe0dJBbrotINnq3n2k0MA/HpafzLipaWaEG2p/GJ8Jh8+NI5+SZGU19t44K1dzF+xJ2DPNYTwpFCTniV3XIFBp/Dx/kJN70oXIhA5VThUWMPybbms2l/I2eomdAr0S4rkhyPS+NGodIZ2jw6Y74SSRA8CA1Ki+OucEZgMOtYeKua+N3ZSb7V7ZV8bjpbwyxWuftz3XNWDW4K8jct3KYrCCz+8gt6JERTVNHHX/22jtNb7ieAvjhS3uaV9+X2jiQ/AvuL9kiN5+77RxIQZ2ZdXxaylm9ifX6V1WEL4vRCjnv+9bQj/fXMWRr3CusPFTH5hI//cmRcwSVK7w8mSdce4+zsTRL5932hipLrYYwx6HX+4dQj3XZ0JwLOfHGbeu3sC5s6f9YeLueFPX/Px/kIMOoX/mN6fpXcMC4g7roR/Kqlp4r43dtJgc3B173jmjs3QOiQh/FZWNwsfzRvHLyb0QqfAh3vPct3zG1n21Ulsdu8WaAnh765Mj+E31/cH4HcfHwqa1nlCeFNjs5PIEbNYfdbI2kPFVNTbMOl1jOgRw0/GZXJ9VjLJlhCtw+wwSaIHiav7xLNsznBCjDo2Hivllpc3c6KkzqP7eH9XPve9sdNVHTY4hf+aOcij2w8EUSFGXps7khRLCCdK6pj91y2cLPXs+9yq3mrn6X8f4Kevf/sF8J+/uIrU6FCv7M8XBqRE8c+fj6VnQjhnq5u47S9beGvrGZwaz7DsaXaHk8oGG0XVTZwpr+d0pZWwfuM4XlKvdWgiQCmKwpwxPfjo4asZ3M1CTZOdX/9rPzf9+Ru+Pl7q18n0EyV13LFsK0vWHcfhVPnBsG6SQPcSRVF48sYBLJjeH31LxdQNf/qar4+Xah3aBZ0sreOnr+/g3jd2kl/ZSPeYUP7x86v4+fheQd8qTnjXR/vOUljdRK+EcJbcnoXD3ozNZrvkYrd7pxBFCH/V+tlXnA5+dV1P/vGzUQzpFkWd1c6iT48w8Y9f8tbmU9Q3Nsnvh+iy7rsmkztHp6OqMO/dPby/K1/rkITwS/mVDfxxzVEe+KSE2Ek/o9GhEGbSM653HD+9OoNxveOJCJCq8/MJ3MjFOSb0S2TFz67ivjd2crS4lhlLv2b+5L78dFwmJkPnr5dUNzaz6JPDvNfSY3Xm0FSev31ol+1hmxYbxrv3j+Gu/9tGTlk9N7/0DU/PGsStV3bzyIz2TqfKusPF/Pcnh8iraATg7jHpPD1zEEZ94F/36p0YwYcPjePR9/ay7nAJT314gH/tyufZm7ICbrKvBpuT0vJ6SmutlNVZqWm0U9PUTIPt3LkJEm5ewOoj5YwZkK5BpCJYDEiJYuWDY/m/TTn8v/XH2Z9fzZxXtzMqI5Z7xmYwdVCS34wTRdVN/Gn9Mf6xMx+HUyXCbODZm7O4eVg3rUMLaoqi8MD4XozKjOWXK/aSW9HAnFe3c02feH5zfX+yuvnHOLs3r4q/bDjJmkNFqCoY9Qo/vTqTedf1CegTa+E/7rumJya9wn/85AckPL6v3a9LSe1G7pnTGAzyORTBzeGwg6IjMjLyPM8qhA+eRPQ1cyggjqc+OsyCtzbAyW/Y/c+lJFq6RjtPIVopisLvZg2iqdnBB7sLeOyf+zh4toYnru9HiFHumhNdm93h5Mujpbyz7QwbjpXSWt/VXHGW0b0TuWpILwx+8h31csnZYZC5Ii2aT395NY++t49NJ8r4/WdHeGvLGe69OpObrkglrgNtQOqsdlZsz+WVDScpr7ehKDBvYm/mT+7b5avDMuLD+ffD4/jF8l3sOF3J4//cxz925PGrKX0Z0zO2U8n0pmYHaw4W8cqGkxwpqgWgW3Qoi28ZzLV9Ezx9CJqKCjGybM4I3thymuc/P+Zq7/LnTUzqn8RPr87gqp5xHrkg4Sl2h5OcsnoOFdZwqLCGfWfK6f7wW7yzr+KCrzHqFUKMeswGHTqc5B7aQ+qUTB9GLYKVQa/j5+N7cdvw7rz85UmWbz3D9tMVbD9dQWKkmZlDU7k+K5kr02N8frHT6VT55mQZK7bn8fmhIpodrjOoyQOSeHrmQNJi5Uu3rwxLj+HTX17DH9cc5e1tZ/j6eBlfH9/EqMxY7hiZxvSsFEJNvv3Sl1fRwMf7C/n33gL33zlwfT4W3NCfXgkRPo1HBL87RnTjnmP7WPzv3egNl+6t77A3s+CmK3E6pX2FCH6qUwXVybMf7MBkPv8t9XaHk4OFdezKq6bRkgRX3sLV/7uRKQOTuCErhQn9EgKmj60Ql8ug1/HH24aSGBnCXzae5O/f5PDFkWIW3DCAqQOT/Or7qxDeZrU72Haqgs8OFPH5wSLK623u58b1jmNsooOHb55F5kv/CpoEOnSxJPrLL7/M//7v/1JYWMigQYNYsmQJ11xzjdZheVxiZAhv3TuKf+7K53/XHKWgqpHffXyIRZ8eZnzfBEZlxjI0LZqe8eFYwoyYDXrsDic1TXZOl9ezN7eKXWcq+eJICY3NroraXgnhPHvzYK7qFafx0fmP+Agz794/hr9+dYr/t/44209X8KO/baVnQjiTByQxoV8Cg7tZLjgBaLPDyfHiOg4UVLPxeClfHilxVzBHmA3MuaoHD07oFVATiHaETqfwk3GZ3Dg4hf/59DD/3nuWdYeLWXe4mJ4J4UwZmMTkAUkM7R59WXdSdESzw8nZqkZOlzdwrKiWw0U1HCms5URJHbbvTdirD49BAWLCTMRHmkiIMBMdZiIqxEBUqBGzQec+kaqvqeSppxZw69L7fXIcwayrjOPtER9h5r9mDuT+azN5d1su72zPo6TWyqubcnh1Uw6x4SZGZsQwMiOWId2j6Z0YQayHW6jYHU5OldWzL6+Kr4+XselEGRXfOYEalRHLE9f3Y0RGrEf3K9onwmxg4axB/HRcJi+sPcpH+86yPaeC7TkVLPggmzE947i2bwJXpkfTPznKo0l1h1PlVGkdB85Ws+tMJZuOl3G6vMH9vEmvY+bQVB4Y35O+SeerghTBSKsxXG8wYjC2f/yz2WweWUeIQHCx3w+DEYZnhjA0PZbDZ6v4bONWSOnDJ/sL+WR/ISaDjivToxmVGef+W5IUZZZkYhDr6ufiupZ5W0b0iOG3K7M5Xd7AA2/tomdCODcN7casK1LJlEmsRRCqbmgmu6CafflVbD1Vzo7TFTQ1f5sjiQ03cfvw7twxKp3M+HB2794NavAVJXSZJPp7773H/Pnzefnllxk3bhx//etfmT59OocOHSI9PfjaKyiKwuwRacwckso/d+Xxz535ZBdUs/5ICeuPlLRZ12TQXXDCmJ4J4dx/TU9uG97db1oE+BODXsdDE3tzy5Xd+POXJ3h/VwGnSutZVnqKZV+dAiAu3ERqdCgmgw6DTqHB5qC8zkppndVdpdmqW3QoPxyZxj1XZWAJC87k+fclRoXwpzuGMe+6Pryx+TT/2pXPqdJ6/rrxFH/deAqTXkf/lEgGJEeRHhdG95hQ4iPMRIUYsYQaiQo1YNTr0OsUFAX0ioJOUbA7Vax2B03NTvd/6612KhpsVNbbqKi3Udlgo7TWSl5FI7kVDRRWN3Kh9uzhJj39U6IYmBJFepSOh++6mQV/ehNLjCQHfaWrjePtlWIJ5dGp/Xj4uj58ebSENQeKWHfYNXnLmoPFrDlY7F43NtxE74QIUqNDiI8wEx9pJi7cRITZ4L5zwmzUoaquJKhDVbE7VGqamqludC0VdTbyKxvJq2zgZGldm5MngKgQAz8Y1o0fjkxnYGqUr98OcR7pcWEsuWMYv5nen3/tzOcfu/LIq2hk47FSNh5z9UvXKZARF063mFBSLCGkWEJJiDQTZtITZjIQZtJj1OtwqmrLAo02B7VNzdQ02altaqa4pon8ykbyKxspqGw89+KjTmFEjxhuHtaNG7JSuszfOeESCGP4xdtbnJ9UrYuuwKDXMSA5gtfe/BW7ckr5/HAZn2YXklvRwNZTFWw99e3dmZEhBrpFu/6GJESYiAs3EWZynWOYDDpCjDrMBj16BVAUdAootJzH63To9XoUBRRAp7gedy0Krpd8+xqn04Gqqi0/gwqoaut/VVRcD6q49tUzIZIMSXB2WiCM474yeWASo3vG8sqGk7y55QynSut5cd0xXlx3jFRLCEPTohmUGkVabBjdokOJizATFWIgMsToswIxIS7F7nDS2OzKlTTaHJTXW6mot1Fe78qTnCmv53R5A2fK6ymusZ7z+vgIs+vOpMHJjOkZ1yVyhl0mif7CCy9w7733ct999wGwZMkS1qxZwyuvvMLixYvPWd9qtWK1fvshqa6uBqCmpqbd+6ytdd2qXFlylqaG9k0o2Fjn2k9ubq779e2hquoFr/hfmwLXzuzOqbJYtpyu4nBRA0eK6yirb8apQtN3fheiQ/UMSIpgQHI4o3pYGJAUjqI4KcjLveR+OhPb+VRWVrr+q/H71tHX3HdFJD/s35vtudVsPV3NrtxqyurtlFobKK2oOu+2wkw6+iaEMyglnGt7xdA/KRxFUagsKaCii73XBuDeKyKYPaA3289U882pKrafqaamwcHek3XsPembWdBNBoWUKDMZsaH0ig+lV3wYveJCSbaY0bXEX1lZia3oOLXlhditDZfY4rfvWW1tLUZj+5JGrWONP08Y6WsdGcc9MYbX1bkmDc4/fhBr46X/nS+lND8HgF27drm3fbl0Ol2bBE4ocHMKzEgK4VSlnaNlNo5V2MirtlPW6KTM2kDZBcajzjIbFHpY9AyINzMk0UyvWAMGXQVlJyrYdErn0QTT94/3chw9ehQIrH9fT2xvqNHJkNF68mtDyS62cqDUxukqOzVNTk4UNHCiwGO7w2xQyLDoyYg2MjDBzIB4I2HGZmg6zb6dp88bn7//+9bV1bV7HJFxvC0tzsVbq8Xrayrb1c7F2tgAqpMFr6/FZL54C0RrQyO/v3caddUVF2yFcc62W2JptjYG1Pr+FIu31/enWLy9fke37bA3A5BssnHfyHjuHRFHTnk9e3Kr2XWmiiPFdeRVNlJtVamubv/vqS/97JpMHpnct13ryhh+LjkXP9fYCB1Dx5vZeRa25DdxoMRGfkkD+SUVfLLr/K8x6sGkdxV+GRTQK6DXuQoa9DrXxaIL+f7X6Uuv23p56fw6+vFWL7C9jm/HE7Fc4PEObujC23G9h+3d3AVX89hxXf7mVRUcgM2hYrOrODoYW2KYjswYI71jTQxONNEtUo+iVKIWVrLle+maoD0XV7sAq9Wq6vV69YMPPmjz+COPPKJee+21533N008/rdJyEVsWWWSRRaslLy/PF8Ok3+voOC5juCyyyOIvi4zjci4uiyyyBO4iY7iLnIvLIossgbp4chzvEpXoZWVlOBwOkpKS2jyelJREUVHReV+zYMECHn30UffPTqeTiooK4uLaP+FhTU0NaWlp5OXlERUlt7R7iryv3iPvrXd05n1VVZXa2lpSU1O9HF1g6Og4LmO4Z8h7IO8ByHsAMo5fLjkX942udrzQ9Y5Zjtd3ZAxvS87FvaurHGtXOU7oOsfqz8fpjXG8SyTRW31/sFYv0l7CbDZj/t5tnNHR0Z3ab1RUlN99mIKBvK/eI++td3T0fbVYLF6MJjC1dxyXMdyz5D2Q9wDkPQAZxy+XnIv7Rlc7Xuh6xyzH6xsyhp9LzsW9q6sca1c5Tug6x+qvx+npcTz4u74D8fHx6PX6c66QlpSUnHMlVQghhP+RcVwIIQKXjOFCCBHYZBwXQogukkQ3mUwMHz6ctWvXtnl87dq1jB07VqOohBBCtJeM40IIEbhkDBdCiMAm47gQQnShdi6PPvooc+bMYcSIEVx11VUsW7aM3Nxcfv7zn3ttn2azmaeffvqc25jE5ZH31XvkvfUOeV89w9fjuPy7yXsA8h6AvAcg74EnyLm493W144Wud8xyvEJLci7uPV3lWLvKcULXOdaucpytFFVVVa2D8JWXX36Z5557jsLCQrKysnjxxRe59tprtQ5LCCFEO8k4LoQQgUvGcCGECGwyjgshurIulUQXQgghhBBCCCGEEEIIITqiS/REF0IIIYQQQgghhBBCCCE6Q5LoQgghhBBCCCGEEEIIIcQFSBJdCCGEEEIIIYQQQgghhLgASaILIYQQQgghhBBCCCGEEBcgSXQvefnll8nMzCQkJIThw4fz9ddfax1SwPvqq6+YOXMmqampKIrChx9+qHVIQWHx4sWMHDmSyMhIEhMTufnmmzl69KjWYQWFV155hSFDhhAVFUVUVBRXXXUVn332mdZhBZ32fIZVVWXhwoWkpqYSGhrKhAkTOHjwYJt1li1bxoQJE4iKikJRFKqqqto8f/r0ae69914yMzMJDQ2lV69ePP3009hstovG1559Xy5/fw/mzp2LoihtljFjxnjk2Fv56j0AmDVrFunp6YSEhJCSksKcOXM4e/bsReMLps8BdO49CLbPQSur1coVV1yBoijs3bv3ovH54nMgXIL5XPxS58TB9jnz1O91oLjU+WMwHev5LF68GEVRmD9/vvuxYD9mcX7+Oo63Z0xqzzmP1Wpl3rx5xMfHEx4ezqxZs8jPz2+zTmVlJXPmzMFisWCxWJgzZ8455yS5ubnMnDmT8PBw4uPjeeSRRy55bt5eCxcuPOc4kpOT3c+353czEI4zIyPjnONUFIWHHnoICOx/T0+cM/jy2LKzsxk/fjyhoaF069aN3/3ud6iq2unj9zRJonvBe++9x/z583nyySfZs2cP11xzDdOnTyc3N1fr0AJafX09Q4cO5aWXXtI6lKCyceNGHnroIbZu3cratWux2+1MnTqV+vp6rUMLeN27d+f3v/89O3fuZOfOnVx33XXcdNNNctLvYe35DD/33HO88MILvPTSS+zYsYPk5GSmTJlCbW2te52Ghgauv/56fvvb3553P0eOHMHpdPLXv/6VgwcP8uKLL/KXv/zlgut3ZN+Xy9/fA4Drr7+ewsJC9/Lpp59e/oF/h6/eA4CJEyfyj3/8g6NHj/L+++9z8uRJbrvttovGF0yfA+jcewDB9Tlo9cQTT5Camtqu+HzxORDBfy5+qXPiYPuceer3OlBc6vwxmI71+3bs2MGyZcsYMmRIm8eD+ZjF+fnzON7e78+XOueZP38+K1euZMWKFWzatIm6ujpmzJiBw+Fwr3PnnXeyd+9eVq9ezerVq9m7dy9z5sxxP+9wOLjxxhupr69n06ZNrFixgvfff5/HHnvMY8c7aNCgNseRnZ3tfq49v5uBcJw7duxoc4xr164F4Pbbb3evE6j/np44Z/DVsdXU1DBlyhRSU1PZsWMHS5cu5Y9//CMvvPBCp4/f41ThcaNGjVJ//vOft3msf//+6n/8x39oFFHwAdSVK1dqHUZQKikpUQF148aNWocSlGJiYtT/+7//0zqMoPb9z7DT6VSTk5PV3//+9+51mpqaVIvFov7lL3855/VffvmlCqiVlZWX3Ndzzz2nZmZmXvD5ju7bU/zpPVBVVb3nnnvUm266qUPHcLl8+R78+9//VhVFUW0223mf7wqfg0u9B6oanJ+DTz/9VO3fv7968OBBFVD37NlzwVi0+hx0RV3pXPz758Rd4XN2ub/Xgaj1/DGYj7W2tlbt06ePunbtWnX8+PHqL3/5S1VVu8a/rzhXII3j5/v+fKlznqqqKtVoNKorVqxwP1ZQUKDqdDp19erVqqqq6qFDh/5/e3ceJlV17gv4a4ZuGrDbgNqAjIogBidAGQzOYtCYeJIT9eiJkhhvUBGVqEjMFU1MSEwconE4ThAjDjEOx5NDDBgnnBVBjeAIAipIQBmcQGDdP7xUbLo3NG1P1f2+z1OP1qq1a6+1q+q3N19V750iIj311FO5Pk8++WSKiPTKK6+klD4/DmnWrFl65513cn1uu+22VFRUlFasWPGl5zZ+/Pi0++67V/pYVT6b+TLPjZ1++ulpxx13TOvXr08pNZ7XszrHDHU5t6uvvjqVlpamTz/9NNdnwoQJqVOnTrnXor75JXoNW7NmTcyYMSOGDRtWrn3YsGHxxBNP1NOooOpWrFgRERHt2rWr55E0LuvWrYvbb789Pvrooxg8eHB9D6dR2/g9PG/evFi8eHG5XC4qKor99tvvS+fyihUrNvlZqc11b25cEQ1jG2zw8MMPx3bbbRe9evWKk046KZYsWfKl1luVcUXU/jZ4//33Y/LkyTFkyJBo2bJlpX0a+/ugKttgg8b0PnjvvffipJNOij/+8Y/RunXrzfavr/dBU9PUj8WbwvusLvdx9W3j48fGPNdTTz01Dj/88Dj44IPLtTfmOVO5fMvxrH8/b+qYZ8aMGfHZZ5+Vm2OnTp2ib9++uTk++eSTUVpaGgMHDsz1GTRoUJSWlpbr07dv33J/EXfooYfG6tWrY8aMGTUyv9dffz06deoUPXr0iGOOOSbmzp0bEVX7bObTPDdYs2ZN3HLLLfGDH/wgCgoKcu2N5fX8oob2Gj755JOx3377RVFRUbk+7777brz11ls1Pv/qUESvYUuXLo1169ZFWVlZufaysrJYvHhxPY0KqialFGPGjImvfe1r0bdv3/oeTqPw0ksvRdu2baOoqChGjhwZ99xzT+yyyy71PaxGq7L38IbsrelcfvPNN+PKK6+MkSNHZvaprXVvSkPbBhERw4cPj8mTJ8eDDz4Yl1xySTz77LNx4IEHxurVq6u97k2pi20wduzYaNOmTbRv3z4WLFgQ//3f/53Zt7G+D7ZkG0Q0rvdBSilGjBgRI0eOjAEDBlRpmfp4HzRFTf1YvLG/z+pyH1efso4fG+NcIyJuv/32mDFjRkyYMKHCY411zmTLpxzP+vfz5o55Fi9eHIWFhfGVr3yl3PN9cY6LFy+O7bbbrsI6t9tuu3J9Nt5OX/nKV6KwsLBGttXAgQPj5ptvjr/97W9x/fXXx+LFi2PIkCGxbNmyKn0282WeX3TvvffG8uXLY8SIEbm2xvJ6bqyhvYaV9dlwv6F89lvU9wAaqy9+YxXxebhu3AYNzahRo+LFF1+Mxx57rL6H0mj07t07Zs2aFcuXL4+77rorTjjhhHjkkUcU0mvJpt7DNZnL7777bnz961+P7373u/HDH/5ws/3rcp/QELfB0Ucfnfv/vn37xoABA6Jbt27xv//7v/Htb3+7WuvflLrYBmeffXaceOKJMX/+/Ljwwgvj+OOPj7/85S+bfK7G9j7Y0m3QmN4HV155ZaxcuTLGjRu3xeNyjFg3mvp2bqzzr6t9XH3LOn7coDHNdeHChXH66afH1KlTo1WrVpn9GtOcqZp8eM2zMqm6xzwbz7Gy+VanT3UNHz489/+77rprDB48OHbcccf4wx/+kLuwZnVep4Y2zy+68cYbY/jw4eV+Md1YXs8sDek1rGwsWcvWB79Er2HbbLNNNG/evMK3JEuWLKnwjQo0JKeddlrcd9998dBDD0Xnzp3reziNRmFhYfTs2TMGDBgQEyZMiN133z1+97vf1fewGqWs9/CGK8jXVC6/++67ccABB8TgwYPjuuuu22Tfml735jTEbVCZjh07Rrdu3eL111/f4mU3p662wTbbbBO9evWKQw45JG6//faYMmVKPPXUU5X2bazvgy3ZBpXJ5/fBgw8+GE899VQUFRVFixYtomfPnhERMWDAgDjhhBMqXaau3wdNVVM/Fm/M77O6yraGIOv4sTHOdcaMGbFkyZLo379/tGjRIlq0aBGPPPJIXHHFFdGiRYvMXyHm85zZtHzJ8S359/PGxzwdOnSINWvWxAcffFCu3xfn2KFDh3jvvfcqPNc///nPcn023k4ffPBBfPbZZ7Wyrdq0aRO77rprvP7661XKo3yb5/z58+OBBx7Y7A+EGsvr2dBew8r6bDhtTkP57Cui17DCwsLo379/7mq+G0ybNi2GDBlST6OCbCmlGDVqVNx9993x4IMPRo8ePep7SI1aSqnWTl3QVG3uPdyjR4/o0KFDuVxes2ZNPPLII1ucy++8807sv//+0a9fv5g4cWI0a7bp3WhNrntTGvI2qMyyZcti4cKF0bFjxy1eNktdboPK1h0RmZ/txvg+qGzdEdnboDL5/D644oor4oUXXohZs2bFrFmzYsqUKRERcccdd8QvfvGLSpepq/dBU9fUj8Ub4/usPrOtodhw/NgY53rQQQfFSy+9lMvTWbNmxYABA+K4446LWbNmxQ477NDo5symNfQcr86/nzc+5unfv3+0bNmy3BwXLVoU//jHP3JzHDx4cKxYsSKeeeaZXJ+nn346VqxYUa7PP/7xj1i0aFGuz9SpU6OoqCj69+9fI/P9otWrV8ecOXOiY8eOVcqjfJvnxIkTY7vttovDDz98k/0ay+vZ0F7DwYMHx6OPPhpr1qwp16dTp07RvXv3Gp9/tdTwhUpJKd1+++2pZcuW6cYbb0yzZ89OZ5xxRmrTpk1666236ntoeW3VqlVp5syZaebMmSki0qWXXppmzpyZ5s+fX99Dy2snn3xyKi0tTQ8//HBatGhR7vbxxx/X99Dy3rhx49Kjjz6a5s2bl1588cX0k5/8JDVr1ixNnTq1vofWqFTlPfyrX/0qlZaWprvvvju99NJL6T/+4z9Sx44d08qVK3N9Fi1alGbOnJmuv/76FBHp0UcfTTNnzkzLli1LKX1+FfKePXumAw88ML399tvl1vVFvXv3TnffffcWrbsxb4NVq1alH//4x+mJJ55I8+bNSw899FAaPHhw2n777fNyGzz99NPpyiuvTDNnzkxvvfVWevDBB9PXvva1tOOOO5a7knxjfh9UZxs0tvfBxubNm5ciIs2cObNce328D2j8x+KbOyZubO+zmvpc54vNHT82prlm2W+//dLpp5+eu98U5kx5DTnHN5dJVT3mGTlyZOrcuXN64IEH0vPPP58OPPDAtPvuu6e1a9fm+nz9619Pu+22W3ryySfTk08+mXbdddf0jW98I/f42rVrU9++fdNBBx2Unn/++fTAAw+kzp07p1GjRtXIXH/84x+nhx9+OM2dOzc99dRT6Rvf+Ebaaqutcq9DVT6b+TDPlFJat25d6tq1axo7dmy59nx/PWvimKGu5rZ8+fJUVlaW/uM//iO99NJL6e67704lJSXpt7/9bbXnX9MU0WvJVVddlbp165YKCwtTv3790iOPPFLfQ8p7Dz30UIqICrcTTjihvoeW1yrbphGRJk6cWN9Dy3s/+MEPcjmw7bbbpoMOOkgBvRZU5T28fv36NH78+NShQ4dUVFSU9t133/TSSy+Ve57x48dv8nkmTpyYua6Nx7Ol627M2+Djjz9Ow4YNS9tuu21q2bJl6tq1azrhhBPSggUL8nIbvPjii+mAAw5I7dq1S0VFRal79+5p5MiR6e23387cBlVdd2PeBo3tfbCxrCJ6fbwP+FxjPhbf3DFxY3uf1dTnOl9s7vixMc01y8ZF9KYwZypqqDm+uUyq6jHPJ598kkaNGpXatWuXiouL0ze+8Y0KfZYtW5aOO+64tNVWW6WtttoqHXfccemDDz4o12f+/Pnp8MMPT8XFxaldu3Zp1KhR5X7U8GUcffTRqWPHjqlly5apU6dO6dvf/nZ6+eWXc49X5bOZD/NMKaW//e1vKSLSq6++Wq4931/PmjhmqMu5vfjii2no0KGpqKgodejQIV1wwQVp/fr11Z5/TStI6f///S0AAAAAAFCOc6IDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKLTaO2///5xxhln1PcwNuvhhx+OgoKCWL58eX0PBQAA6sSIESPiyCOPrO9hbFZBQUHce++99T0MgBqTL/n7ZV1wwQWxxx571PcwaEQU0aEReuutt6KgoCBmzZpV30MBaDJkL5DvqvMjlHz54QpAQyZ/a95ZZ50Vf//73+t7GDQiiugAQKOwbt26WL9+fX0Po0H77LPP6nsIAA2GTARovNq2bRvt27ev72HQiCii0yh89NFHcfzxx0fbtm2jY8eOcckll5R7fM2aNXHOOefE9ttvH23atImBAwfGww8/nHt80qRJsfXWW8e9994bvXr1ilatWsUhhxwSCxcuLPc8//M//xP9+/ePVq1axQ477BAXXnhhrF27Nvd4QUFB3HDDDfFv//Zv0bp169hpp53ivvvuK/ccU6ZMiV69ekVxcXEccMAB8dZbb1WYzxNPPBH77rtvFBcXR5cuXWL06NHx0Ucf5R7v3r17/PKXv4wf/OAHsdVWW0XXrl3juuuuyz3eo0ePiIjYc889o6CgIPbff/+I+PzUMXvvvXe0adMmtt5669hnn31i/vz5W7StAari5ptvjvbt28fq1avLtX/nO9+J448/PiI2n6mXXnpp7LrrrtGmTZvo0qVLnHLKKfHhhx/mHt+Q3X/5y19il112iaKioipl2k033RRf/epXo6ioKDp27BijRo2KiMp/Sb58+fIoKCjI7TM++OCDOO6442LbbbeN4uLi2GmnnWLixIkRkZ2969evj5/97GfRuXPnKCoqij322CPuv//+3Do2rPdPf/pTDB06NIqLi2OvvfaK1157LZ599tkYMGBAtG3bNr7+9a/HP//5z3JzmThxYvTp0ydatWoVO++8c1x99dWVPu/+++8frVq1iltuuWWz2wdomkaMGBGPPPJI/O53v4uCgoIoKCiIt956Kx555JHYe++9c5l57rnn5rI6a5l169bFiSeeGD169Iji4uLo3bt3/O53v6v22Pbff/8YNWpUjBo1Krbeeuto3759/PSnP42UUq5PZadd2XrrrWPSpEkRselMzNovbLB06dLM4/uqzHVzx+Cb2x9ecMEF0bVr1ygqKopOnTrF6NGjq70tgYanIefv+vXr49e//nX07NkzioqKomvXrvGLX/wi9/jYsWOjV69e0bp169hhhx3i//7f/1vuC8oNp1S56aabomvXrtG2bds4+eSTY926dXHxxRdHhw4dYrvttiv3nBGfZ/o111wTw4cPj+Li4ujRo0fceeed5fpUdd0brF27NkaPHp3bj4wdOzZOOOGEcqe22X///WP06NFxzjnnRLt27aJDhw5xwQUXlFtvdTP5lltuiQEDBsRWW20VHTp0iGOPPTaWLFlSrs/LL78chx9+eJSUlMRWW20VQ4cOjTfffDP3+Ob2V9SyBI3AySefnDp37pymTp2aXnzxxfSNb3wjtW3bNp1++ukppZSOPfbYNGTIkPToo4+mN954I/3mN79JRUVF6bXXXksppTRx4sTUsmXLNGDAgPTEE0+k5557Lu29995pyJAhuXXcf//9qaSkJE2aNCm9+eabaerUqal79+7pggsuyPWJiNS5c+d06623ptdffz2NHj06tW3bNi1btiyllNKCBQtSUVFROv3009Mrr7ySbrnlllRWVpYiIn3wwQcppZRefPHF1LZt23TZZZel1157LT3++ONpzz33TCNGjMitp1u3bqldu3bpqquuSq+//nqaMGFCatasWZozZ05KKaVnnnkmRUR64IEH0qJFi9KyZcvSZ599lkpLS9NZZ52V3njjjTR79uw0adKkNH/+/Np8aYAm6uOPP06lpaXpT3/6U67tn//8ZyosLEwPPvhglTL1sssuSw8++GCaO3du+vvf/5569+6dTj755NzjG7J7yJAh6fHHH0+vvPJK+vDDDzc5rquvvjq1atUqXX755enVV19NzzzzTLrssstSSinNmzcvRUSaOXNmrv8HH3yQIiI99NBDKaWUTj311LTHHnukZ599Ns2bNy9NmzYt3XfffSmlyrM3pZQuvfTSVFJSkm677bb0yiuvpHPOOSe1bNkytw/asN6dd9453X///Wn27Nlp0KBBqV+/fmn//fdPjz32WHr++edTz54908iRI3Nju+6661LHjh3TXXfdlebOnZvuuuuu1K5duzRp0qRyz9u9e/dcn3feeWcLX0mgqVi+fHkaPHhwOumkk9KiRYvSokWL0ttvv51at26dTjnllDRnzpx0zz33pG222SaNHz8+c5m1a9emNWvWpPPPPz8988wzae7cuemWW25JrVu3TnfccUdufSeccEL61re+VaWx7bfffrlj+w3H0K1bt07XXXddrk9EpHvuuafccqWlpWnixIkppexM3NR+YcPzbur4fnNz3dwx+Ob2h3feeWcqKSlJU6ZMSfPnz09PP/10uXkD+a8h5+8555yTvvKVr6RJkyalN954I02fPj1df/31ucd//vOfp8cffzzNmzcv3XfffamsrCz9+te/zj0+fvz41LZt2/Tv//7v6eWXX0733XdfKiwsTIceemg67bTT0iuvvJJuuummFBHpySefzC0XEal9+/bp+uuvT6+++mr66U9/mpo3b55mz569Revefffdc/cvuuii1K5du3T33XenOXPmpJEjR6aSkpJy22K//fZLJSUl6YILLkivvfZa+sMf/pAKCgrS1KlTU0pfLpNvvPHGNGXKlPTmm2+mJ598Mg0aNCgNHz489/jbb7+d2rVrl7797W+nZ599Nr366qvppptuSq+88kpKadP/jqFuKKKT91atWpUKCwvT7bffnmtbtmxZKi4uTqeffnp64403UkFBQYXCwUEHHZTGjRuXUvq8EBMR6amnnso9PmfOnBQR6emnn04ppTR06ND0y1/+stxz/PGPf0wdO3bM3Y+I9NOf/jR3/8MPP0wFBQXpr3/9a0oppXHjxqU+ffqk9evX5/qMHTu2XBH9e9/7Xvo//+f/lFvP9OnTU7NmzdInn3ySUvq8iP6f//mfucfXr1+ftttuu3TNNdeklCovBC1btixFRHr44Yc3tTkBaszJJ59c7sDw8ssvTzvssENav359lTJ1Y3/6059S+/btc/c3ZPesWbOqPKZOnTql8847r9LHqlJEP+KII9L3v//9Ki+/YZ2/+MUvyrXttdde6ZRTTim33A033JB7/LbbbksRkf7+97/n2iZMmJB69+6du9+lS5d06623lnven//852nw4MHlnvfyyy+vdLwAG9tvv/1yP0JJKaWf/OQnqXfv3uWOXa+66qrUtm3btG7dukqXyXLKKaek73znO7n7W1pEr+wYuk+fPrn7VS2ib5yJm9ovbHjeTR3fV+aLc93cMfjm9oeXXHJJ6tWrV1qzZk3m+oD81xDzd+XKlamoqKhc0XxzLr744tS/f//c/fHjx6fWrVunlStX5toOPfTQ1L1799w8Ukqpd+/eacKECbn7EVHuxyMppTRw4MByP6ipyrq/WEQvKytLv/nNb3L3165dm7p27VqhiP61r32t3PPutddeaezYsSmlms3kDT/AWbVqVUrp83pRjx49Mp97c/sral+L2v+tO9SuN998M9asWRODBw/OtbVr1y569+4dERHPP/98pJSiV69e5ZZbvXp1ufNjtWjRIgYMGJC7v/POO8fWW28dc+bMib333jtmzJgRzz77bLk/M1q3bl18+umn8fHHH0fr1q0jImK33XbLPd6mTZvYaqutcn+iM2fOnBg0aFAUFBTk+nxx3BERM2bMiDfeeCMmT56ca0spxfr162PevHnRp0+fCuspKCiIDh06VPhToC9q165djBgxIg499NA45JBD4uCDD46jjjoqOnbsmLkMwJdx0kknxV577RXvvPNObL/99jFx4sQYMWJEFBQUVClTH3roofjlL38Zs2fPjpUrV8batWvj008/jY8++ijatGkTERGFhYXl8nBTlixZEu+++24cdNBB1Z7TySefHN/5znfi+eefj2HDhsWRRx4ZQ4YMyey/cuXKePfdd2OfffYp177PPvvECy+8UK7ti/MoKyuLiIhdd921XNuGnP/nP/8ZCxcujBNPPDFOOumkXJ+1a9dGaWlpuef94r4NYEvMmTMnBg8eXO7YdZ999okPP/ww3n777ejatWvmstdee23ccMMNMX/+/Pjkk09izZo15f6sfktVdgx9ySWXxLp166J58+ZVfp4vZmJV9wubOr6P2PRcN3cMvrn94Xe/+924/PLLY4cddoivf/3rcdhhh8URRxwRLVr4pzw0Zg0hf+fMmROrV6/eZEb++c9/jssvvzzeeOON+PDDD2Pt2rVRUlJSrk/37t1jq622yt0vKyuL5s2bR7Nmzcq1bVzP2LhWMnjw4HKnXazKujdYsWJFvPfee7H33nvn2po3bx79+/evcE2ljf9t0bFjx9zYvkwmz5w5My644IKYNWtWvP/++7n1LliwIHbZZZeYNWtWDB06NFq2bFlh2Zr4dwxfnnOik/fSF86FWJn169dH8+bNY8aMGTFr1qzcbc6cORXODfbFHdTGbevXr48LL7yw3HO89NJL8frrr0erVq1y/TcOvIKCglw4bm6sG9bzox/9qNx6XnjhhXj99ddjxx13rNJ6skycODGefPLJGDJkSNxxxx3Rq1eveOqppzY7JoDq2HPPPWP33XePm2++OZ5//vl46aWXYsSIERGx+UydP39+HHbYYdG3b9+46667YsaMGXHVVVdFRPkLwRUXF1ea3ZUpLi7e5OMbDuS/mNUbX3Ru+PDhMX/+/DjjjDNyB7JnnXXWZte98RhTShXavpjrGx7buG1Dzm/47/XXX19uG/7jH/+okOsbvnAA2FKVZdWGjNxU9v7pT3+KM888M37wgx/E1KlTY9asWfH9738/1qxZU2tjLSgoqHCsXdmFQ7+YiZvbL2ywqePuqsx1U8fgm9sfdunSJV599dW46qqrori4OE455ZTYd999XRQVGrmGkL+by8innnoqjjnmmBg+fHj85S9/iZkzZ8Z5551XYV2VZWh16hkb+m3JurOW36CyGs2mxlbdTP7oo49i2LBh0bZt27jlllvi2WefjXvuuSciIjfmTW3vqu6vqF2+vibv9ezZM1q2bBlPPfVU7tvYDz74IF577bXYb7/9Ys8994x169bFkiVLYujQoZnPs3bt2njuuedy30y++uqrsXz58th5550jIqJfv37x6quvRs+ePas91l122aXCBY82Lnb069cvXn755S+1nsLCwoj4/FcsG9tzzz1jzz33jHHjxsXgwYPj1ltvjUGDBlV7XQCb8sMf/jAuu+yyeOedd+Lggw+OLl26RMTmM/W5556LtWvXxiWXXJIrbv/pT3/6UmPZaqutonv37vH3v/89DjjggAqPb7vtthERsWjRothzzz0jIsr92uWL/UaMGBEjRoyIoUOHxtlnnx2//e1vK83ekpKS6NSpUzz22GOx77775tqfeOKJcr+E2VJlZWWx/fbbx9y5c+O4446r9vMAfFFhYWG5DNtll13irrvuKlfMeeKJJ2KrrbaK7bffvtJlIiKmT58eQ4YMiVNOOSXX9sULo1XHxsfMTz31VOy00065X6Fvu+22sWjRotzjr7/+enz88cebfM7N7ReqoqpzzToGr8q/MYqLi+Ob3/xmfPOb34xTTz01dt5553jppZeiX79+1Roz0PA0xPzdaaedori4OP7+97/HD3/4wwqPP/7449GtW7c477zzcm1fvGjyl/XUU0/F8ccfX+7+hmP0LV13aWlplJWVxTPPPJOrC61bty5mzpy5xb/Sr04mv/LKK7F06dL41a9+lfv30HPPPVeuz2677RZ/+MMf4rPPPqtQyK+J/RVfniI6ea9t27Zx4oknxtlnnx3t27ePsrKyOO+883JFl169esVxxx0Xxx9/fFxyySWx5557xtKlS+PBBx+MXXfdNQ477LCI+PzbxtNOOy2uuOKKaNmyZYwaNSoGDRqUK3Kcf/758Y1vfCO6dOkS3/3ud6NZs2bx4osvxksvvRQXXXRRlcY6cuTIuOSSS2LMmDHxox/9KGbMmBGTJk0q12fs2LExaNCgOPXUU+Okk06KNm3axJw5c2LatGlx5ZVXVmk92223XRQXF8f9998fnTt3jlatWsX7778f1113XXzzm9+MTp06xauvvhqvvfZauZ0SQE077rjj4qyzzorrr78+br755lz75jJ1xx13jLVr18aVV14ZRxxxRDz++ONx7bXXfunxXHDBBTFy5MjYbrvtYvjw4bFq1ap4/PHH47TTTovi4uIYNGhQ/OpXv4ru3bvH0qVL46c//Wm55c8///zo379/fPWrX43Vq1fHX/7yl9xptirL3tLS0jj77LNj/PjxseOOO8Yee+wREydOjFmzZpU7bVd15zJ69OgoKSmJ4cOHx+rVq+O5556LDz74IMaMGfOlnhtomrp37x5PP/10vPXWW9G2bds45ZRT4vLLL4/TTjstRo0aFa+++mqMHz8+xowZkzvW3niZdu3aRc+ePePmm2+Ov/3tb9GjR4/44x//GM8++2z06NGj2mNbuHBh7hj6+eefjyuvvDIuueSS3OMHHnhg/P73v49BgwbF+vXrY+zYsZX+SfzGNrVfqIrNzXXevHmbPAbf3P5w0qRJsW7duhg4cGC0bt06/vjHP0ZxcXF069atGlsRaKgaYv62atUqxo4dG+ecc04UFhbGPvvsE//85z/j5ZdfjhNPPDF69uwZCxYsiNtvvz322muv+N///d/cr6trwp133hkDBgyIr33tazF58uR45pln4sYbb4yIqNa6TzvttJgwYUL07Nkzdt5557jyyivjgw8+qPJftUZEtTO5a9euUVhYGFdeeWWMHDky/vGPf8TPf/7zcn1GjRoVV155ZRxzzDExbty4KC0tjaeeeir23nvv6N2795feX1ED6uNE7FDTVq1alf7zP/8ztW7dOpWVlaWLL7643EU2Nlyhunv37qlly5apQ4cO6d/+7d/Siy++mFL6/OJ0paWl6a677ko77LBDKiwsTAceeGB66623yq3n/vvvT0OGDEnFxcWppKQk7b333uWuxBybuaBRSin9z//8T+rZs2cqKipKQ4cOzV2JesOFRVP6/AIThxxySGrbtm1q06ZN2m233cpdlK5bt24VrsK8++67567UnVJK119/ferSpUtq1qxZ2m+//dLixYvTkUcemTp27JgKCwtTt27d0vnnn1/uYh4AteF73/teateuXfr000/LtW8uUy+99NLUsWPHVFxcnA499NB08803l8vLDdm9pa699trUu3fv1LJly9SxY8d02mmn5R6bPXt2GjRoUCouLk577LFHmjp1arkLi/785z9Pffr0ScXFxaldu3bpW9/6Vpo7d25u+Y2zN6WU1q1bly688MK0/fbbp5YtW6bdd9+93AXpKrsg6UMPPVRh31DZfCdPnpz22GOPVFhYmL7yla+kfffdN919992ZzwuwKa+++mouAyMizZs3Lz388MNpr732SoWFhalDhw5p7Nix6bPPPtvkMp9++mkaMWJEKi0tTVtvvXU6+eST07nnnlvuAm9bemHRU045JY0cOTKVlJSkr3zlK+ncc88td8G9d955Jw0bNiy1adMm7bTTTmnKlCmVXli0skzc1H5hc8f3m5trVY7BN7U/vOeee9LAgQNTSUlJatOmTRo0aFB64IEHqrTdgPzRUPN33bp16aKLLkrdunVLLVu2TF27di13MeSzzz47tW/fPrVt2zYdffTR6bLLLit3vLrxxT2z1r/xRVIjIl111VXpkEMOSUVFRalbt27ptttuK7fMlq77s88+S6NGjcrtR8aOHZu++93vpmOOOSZzHCml9K1vfSudcMIJKaUvl8m33npr6t69eyoqKkqDBw9O9913X4X90gsvvJCGDRuWWrdunbbaaqs0dOjQ9Oabb+Ye39T+itpXkFIVTtIMjdykSZPijDPOiOXLl9f3UAAanUMOOST69OkTV1xxRX0PBYA8tP/++8cee+wRl19+eX0PBYA6UFBQEPfcc08ceeSRtbaO9evXR58+feKoo46q8KtwqIzTuQAAteL999+PqVOnxoMPPhi///3v63s4AABAEzV//vyYOnVq7LfffrF69er4/e9/H/PmzYtjjz22vodGnlBEBwBqRb9+/eKDDz6IX//619G7d+86WWfbtm0zH/vrX/+6yQtMA1D3FixYELvsskvm47Nnz67D0QA0HVXJ365du9bhiGpXs2bNYtKkSXHWWWdFSin69u0bDzzwQO76Rl/G9OnTY/jw4ZmPf/jhh196HdQ/p3MBABqNN954I/Ox7bffPoqLi+twNABsztq1a+Ott97KfLx79+7RooXffgHUNPlbcz755JN45513Mh/v2bNnHY6G2qKIDgAAAAAAGZrV9wAAAAAAAKChUkQHAAAAAIAMiugAAAAAAJBBER0AAAAAADIoogMAAAAAQAZFdAAAAAAAyKCIDgAAAAAAGRTRAQAAAAAggyI6AAAAAABkUEQHAAAAAIAMiugAAAAAAJBBER0AAAAAADIoogMAAAAAQAZFdAAAAAAAyJB3RfRHH300jjjiiOjUqVMUFBTEvffeu9llHnnkkejfv3+0atUqdthhh7j22mtrf6AAVEqOA+QvGQ6Q3+Q4QPXkXRH9o48+it133z1+//vfV6n/vHnz4rDDDouhQ4fGzJkz4yc/+UmMHj067rrrrloeKQCVkeMA+UuGA+Q3OQ5QPQUppVTfg6iugoKCuOeee+LII4/M7DN27Ni47777Ys6cObm2kSNHxgsvvBBPPvlk5nKrV6+O1atX5+6vX78+3n///Wjfvn0UFBTUyPgBsqSUYtWqVdGpU6do1izvvu+sstrKcRkO1LemkOOOxYHGqilkeIRjcaDxqo0cb1Ejz9KAPfnkkzFs2LBybYceemjceOON8dlnn0XLli0rXW7ChAlx4YUX1sUQATItXLgwOnfuXN/DqFfVyXEZDjQUTT3HHYsD+aypZ3iEY3Egv9Vkjjf6IvrixYujrKysXFtZWVmsXbs2li5dGh07dqx0uXHjxsWYMWNy91esWBFdu3aNhQsXRklJSa2OGWDlypXRpUuX2Gqrrep7KPWuOjkuw4H6Jsc/51gcyEcy/F8ciwP5qDZyvNEX0SOiwp8LbTiDzab+jKioqCiKiooqtJeUlAh9oM74c8fPbWmOy3CgoZDjjsWB/CXDP+dYHMhXNZnjjffkXv9fhw4dYvHixeXalixZEi1atIj27dvX06gAqCo5DpC/ZDhAfpPjAJ9r9EX0wYMHx7Rp08q1TZ06NQYMGJB5DkYAGg45DpC/ZDhAfpPjAJ/LuyL6hx9+GLNmzYpZs2ZFRMS8efNi1qxZsWDBgoj4/Nxbxx9/fK7/yJEjY/78+TFmzJiYM2dO3HTTTXHjjTfGWWedVR/DB2jy5DhA/pLhAPlNjgNUT96dE/25556LAw44IHd/w8UqTjjhhJg0aVIsWrQoF/4RET169IgpU6bEmWeeGVdddVV06tQprrjiivjOd75T52MHQI4D5DMZDpDf5DhA9RSkDVeEYJNWrlwZpaWlsWLFChfCAGqdzKlZtidQ1+ROzbI9gbokc2qW7QnUtdrInbw7nQsAAAAAANQVRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABnytoh+9dVXR48ePaJVq1bRv3//mD59+ib7T548OXbfffdo3bp1dOzYMb7//e/HsmXL6mi0AHyRDAfIb3IcIH/JcIAtl5dF9DvuuCPOOOOMOO+882LmzJkxdOjQGD58eCxYsKDS/o899lgcf/zxceKJJ8bLL78cd955Zzz77LPxwx/+sI5HDoAMB8hvchwgf8lwgOopSCml+h7Elho4cGD069cvrrnmmlxbnz594sgjj4wJEyZU6P/b3/42rrnmmnjzzTdzbVdeeWVcfPHFsXDhwkrXsXr16li9enXu/sqVK6NLly6xYsWKKCkpqcHZAFS0cuXKKC0tbZSZI8OBpkCO/4scB/KNDP8XGQ7ko9rI8bz7JfqaNWtixowZMWzYsHLtw4YNiyeeeKLSZYYMGRJvv/12TJkyJVJK8d5778Wf//znOPzwwzPXM2HChCgtLc3dunTpUqPzAGiKZDhAfpPjAPlLhgNUX94V0ZcuXRrr1q2LsrKycu1lZWWxePHiSpcZMmRITJ48OY4++ugoLCyMDh06xNZbbx1XXnll5nrGjRsXK1asyN2yvmEFoOpkOEB+k+MA+UuGA1Rf3hXRNygoKCh3P6VUoW2D2bNnx+jRo+P888+PGTNmxP333x/z5s2LkSNHZj5/UVFRlJSUlLsBUDNkOEB+k+MA+UuGA2y5FvU9gC21zTbbRPPmzSt8S7pkyZIK36ZuMGHChNhnn33i7LPPjoiI3XbbLdq0aRNDhw6Niy66KDp27Fjr4wZAhgPkOzkOkL9kOED15d0v0QsLC6N///4xbdq0cu3Tpk2LIUOGVLrMxx9/HM2alZ9q8+bNI+Lzb1wBqBsyHCC/yXGA/CXDAaov74roERFjxoyJG264IW666aaYM2dOnHnmmbFgwYLcnxONGzcujj/++Fz/I444Iu6+++645pprYu7cufH444/H6NGjY++9945OnTrV1zQAmiQZDpDf5DhA/pLhANWTd6dziYg4+uijY9myZfGzn/0sFi1aFH379o0pU6ZEt27dIiJi0aJFsWDBglz/ESNGxKpVq+L3v/99/PjHP46tt946DjzwwPj1r39dX1MAaLJkOEB+k+MA+UuGA1RPQfL3N1WycuXKKC0tjRUrVrgoBlDrZE7Nsj2BuiZ3apbtCdQlmVOzbE+grtVG7uTl6VwAAAAAAKAuKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMiQt0X0q6++Onr06BGtWrWK/v37x/Tp0zfZf/Xq1XHeeedFt27doqioKHbccce46aab6mi0AHyRDAfIb3IcIH/JcIAt16K+B1Add9xxR5xxxhlx9dVXxz777BP/9V//FcOHD4/Zs2dH165dK13mqKOOivfeey9uvPHG6NmzZyxZsiTWrl1bxyMHQIYD5Dc5DpC/ZDhA9RSklFJ9D2JLDRw4MPr16xfXXHNNrq1Pnz5x5JFHxoQJEyr0v//+++OYY46JuXPnRrt27aq1zpUrV0ZpaWmsWLEiSkpKqj12gKpozJkjw4GmoDHnjhwHGrvGnDkyHGgKaiN38u50LmvWrIkZM2bEsGHDyrUPGzYsnnjiiUqXue+++2LAgAFx8cUXx/bbbx+9evWKs846Kz755JPM9axevTpWrlxZ7gbAlyPDAfKbHAfIXzIcoPry7nQuS5cujXXr1kVZWVm59rKysli8eHGly8ydOzcee+yxaNWqVdxzzz2xdOnSOOWUU+L999/PPI/XhAkT4sILL6zx8QM0ZTIcIL/JcYD8JcMBqi/vfom+QUFBQbn7KaUKbRusX78+CgoKYvLkybH33nvHYYcdFpdeemlMmjQp89vTcePGxYoVK3K3hQsX1vgcAJoqGQ6Q3+Q4QP6S4QBbLu9+ib7NNttE8+bNK3xLumTJkgrfpm7QsWPH2H777aO0tDTX1qdPn0gpxdtvvx077bRThWWKioqiqKioZgcP0MTJcID8JscB8pcMB6i+vPslemFhYfTv3z+mTZtWrn3atGkxZMiQSpfZZ5994t13340PP/ww1/baa69Fs2bNonPnzrU6XgD+RYYD5Dc5DpC/ZDhA9eVdET0iYsyYMXHDDTfETTfdFHPmzIkzzzwzFixYECNHjoyIz/906Pjjj8/1P/bYY6N9+/bx/e9/P2bPnh2PPvponH322fGDH/wgiouL62saAE2SDAfIb3IcIH/JcIDqybvTuUREHH300bFs2bL42c9+FosWLYq+ffvGlClTolu3bhERsWjRoliwYEGuf9u2bWPatGlx2mmnxYABA6J9+/Zx1FFHxUUXXVRfUwBosmQ4QH6T4wD5S4YDVE9BSinV9yDywcqVK6O0tDRWrFgRJSUl9T0coJGTOTXL9gTqmtypWbYnUJdkTs2yPYG6Vhu5k5encwEAAAAAgLqgiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIEPeFtGvvvrq6NGjR7Rq1Sr69+8f06dPr9Jyjz/+eLRo0SL22GOP2h0gAJlkOEB+k+MA+UuGA2y5vCyi33HHHXHGGWfEeeedFzNnzoyhQ4fG8OHDY8GCBZtcbsWKFXH88cfHQQcdVEcjBWBjMhwgv8lxgPwlwwGqpyCllOp7EFtq4MCB0a9fv7jmmmtybX369IkjjzwyJkyYkLncMcccEzvttFM0b9487r333pg1a1aV17ly5cooLS2NFStWRElJyZcZPsBmNebMkeFAU9CYc0eOA41dY84cGQ40BbWRO3n3S/Q1a9bEjBkzYtiwYeXahw0bFk888UTmchMnTow333wzxo8fX6X1rF69OlauXFnuBsCXI8MB8pscB8hfMhyg+vKuiL506dJYt25dlJWVlWsvKyuLxYsXV7rM66+/Hueee25Mnjw5WrRoUaX1TJgwIUpLS3O3Ll26fOmxAzR1Mhwgv8lxgPwlwwGqL++K6BsUFBSUu59SqtAWEbFu3bo49thj48ILL4xevXpV+fnHjRsXK1asyN0WLlz4pccMwOdkOEB+k+MA+UuGA2y5qn2N2IBss8020bx58wrfki5ZsqTCt6kREatWrYrnnnsuZs6cGaNGjYqIiPXr10dKKVq0aBFTp06NAw88sMJyRUVFUVRUVDuTAGiiZDhAfpPjAPlLhgNUX979Er2wsDD69+8f06ZNK9c+bdq0GDJkSIX+JSUl8dJLL8WsWbNyt5EjR0bv3r1j1qxZMXDgwLoaOkCTJ8MB8pscB8hfMhyg+vLul+gREWPGjInvfe97MWDAgBg8eHBcd911sWDBghg5cmREfP6nQ++8807cfPPN0axZs+jbt2+55bfbbrto1apVhXYAap8MB8hvchwgf8lwgOrJyyL60UcfHcuWLYuf/exnsWjRoujbt29MmTIlunXrFhERixYtigULFtTzKAGojAwHyG9yHCB/yXCA6ilIKaX6HkQ+WLlyZZSWlsaKFSuipKSkvocDNHIyp2bZnkBdkzs1y/YE6pLMqVm2J1DXaiN38u6c6AAAAAAAUFcU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADHlbRL/66qujR48e0apVq+jfv39Mnz49s+/dd98dhxxySGy77bZRUlISgwcPjr/97W91OFoAvkiGA+Q3OQ6Qv2Q4wJbLyyL6HXfcEWeccUacd955MXPmzBg6dGgMHz48FixYUGn/Rx99NA455JCYMmVKzJgxIw444IA44ogjYubMmXU8cgBkOEB+k+MA+UuGA1RPQUop1fcgttTAgQOjX79+cc011+Ta+vTpE0ceeWRMmDChSs/x1a9+NY4++ug4//zzK3189erVsXr16tz9lStXRpcuXWLFihVRUlLy5SYAsBkrV66M0tLSRpk5MhxoCuT4pslxoCGT4Zsmw4GGrjZyPO9+ib5mzZqYMWNGDBs2rFz7sGHD4oknnqjSc6xfvz5WrVoV7dq1y+wzYcKEKC0tzd26dOnypcYNgAwHyHdyHCB/yXCA6su7IvrSpUtj3bp1UVZWVq69rKwsFi9eXKXnuOSSS+Kjjz6Ko446KrPPuHHjYsWKFbnbwoULv9S4AZDhAPlOjgPkLxkOUH0t6nsA1VVQUFDufkqpQltlbrvttrjgggviv//7v2O77bbL7FdUVBRFRUVfepwAVCTDAfKbHAfIXzIcYMvlXRF9m222iebNm1f4lnTJkiUVvk3d2B133BEnnnhi3HnnnXHwwQfX5jABqIQMB8hvchwgf8lwgOrLu9O5FBYWRv/+/WPatGnl2qdNmxZDhgzJXO62226LESNGxK233hqHH354bQ8TgErIcID8JscB8pcMB6i+vPslekTEmDFj4nvf+14MGDAgBg8eHNddd10sWLAgRo4cGRGfn3/rnXfeiZtvvjkiPg/8448/Pn73u9/FoEGDct+6FhcXR2lpab3NA6ApkuEA+U2OA+QvGQ5QPXlZRD/66KNj2bJl8bOf/SwWLVoUffv2jSlTpkS3bt0iImLRokWxYMGCXP//+q//irVr18app54ap556aq79hBNOiEmTJtX18AGaNBkOkN/kOED+kuEA1VOQUkr1PYh8sHLlyigtLY0VK1ZESUlJfQ8HaORkTs2yPYG6Jndqlu0J1CWZU7NsT6Cu1Ubu5N050QEAAAAAoK4oogMAAAAAQAZFdAAAAAAAyKCIDgAAAAAAGRTRAQAAAAAggyI6AAAAAABkUEQHAAAAAIAMiugAAAAAAJBBER0AAAAAADIoogMAAAAAQAZFdAAAAAAAyKCIDgAAAAAAGRTRAQAAAAAggyI6AAAAAABkUEQHAAAAAIAMiugAAAAAAJBBER0AAAAAADIoogMAAAAAQAZFdAAAAAAAyKCIDgAAAAAAGRTRAQAAAAAggyI6AAAAAABkUEQHAAAAAIAMiugAAAAAAJBBER0AAAAAADIoogMAAAAAQAZFdAAAAAAAyKCIDgAAAAAAGRTRAQAAAAAggyI6AAAAAABkUEQHAAAAAIAMiugAAAAAAJBBER0AAAAAADIoogMAAAAAQAZFdAAAAAAAyKCIDgAAAAAAGRTRAQAAAAAggyI6AAAAAABkUEQHAAAAAIAMiugAAAAAAJBBER0AAAAAADIoogMAAAAAQAZFdAAAAAAAyJC3RfSrr746evToEa1atYr+/fvH9OnTN9n/kUceif79+0erVq1ihx12iGuvvbaORgrAxmQ4QH6T4wD5S4YDbLm8LKLfcccdccYZZ8R5550XM2fOjKFDh8bw4cNjwYIFlfafN29eHHbYYTF06NCYOXNm/OQnP4nRo0fHXXfdVccjB0CGA+Q3OQ6Qv2Q4QPUUpJRSfQ9iSw0cODD69esX11xzTa6tT58+ceSRR8aECRMq9B87dmzcd999MWfOnFzbyJEj44UXXognn3yy0nWsXr06Vq9enbu/YsWK6Nq1ayxcuDBKSkpqcDYAFa1cuTK6dOkSy5cvj9LS0voeTo2S4UBTIMf/RY4D+UaG/4sMB/JRreR4yjOrV69OzZs3T3fffXe59tGjR6d999230mWGDh2aRo8eXa7t7rvvTi1atEhr1qypdJnx48eniHBzc3Or19ubb75ZM+HZQMhwNze3pnaT43Lczc0tf28yXIa7ubnl960mc7xF5JmlS5fGunXroqysrFx7WVlZLF68uNJlFi9eXGn/tWvXxtKlS6Njx44Vlhk3blyMGTMmd3/58uXRrVu3WLBgQaP7JnqDDd/SNOZvh82xcWgKc9zwa4127drV91BqlAyvPU3hcxHRNOZpjo2DHP8XOV41TeFzYY6NQ1OYowz/FxleNU3hcxHRNOZpjo1DbeR43hXRNygoKCh3P6VUoW1z/Str36CoqCiKiooqtJeWljbaN9gGJSUl5tgImGPj0KxZXl66YrNkeO1pCp+LiKYxT3NsHOR4dv/K2jeQ4+aY78yxcZDh2f0ra99AhjfuOUY0jXmaY+NQkzmed3uEbbbZJpo3b17hW9IlS5ZU+HZ0gw4dOlTav0WLFtG+fftaGysA5clwgPwmxwHylwwHqL68K6IXFhZG//79Y9q0aeXap02bFkOGDKl0mcGDB1foP3Xq1BgwYEC0bNmy1sYKQHkyHCC/yXGA/CXDAaov74roERFjxoyJG264IW666aaYM2dOnHnmmbFgwYIYOXJkRHx+/q3jjz8+13/kyJExf/78GDNmTMyZMyduuummuPHGG+Oss86q8jqLiopi/Pjxlf5JUmNhjo2DOTYOjXmOMrx2NIU5RjSNeZpj49CY5yjHa4c5Ng7m2Dg05jnK8NrRFOYY0TTmaY6NQ23MsSBtOJlVnrn66qvj4osvjkWLFkXfvn3jsssui3333TciIkaMGBFvvfVWPPzww7n+jzzySJx55pnx8ssvR6dOnWLs2LG5nQQAdUuGA+Q3OQ6Qv2Q4wJbL2yI6AAAAAADUtrw8nQsAAAAAANQFRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMi+hdcffXV0aNHj2jVqlX0798/pk+fvsn+jzzySPTv3z9atWoVO+ywQ1x77bV1NNLq25I53n333XHIIYfEtttuGyUlJTF48OD429/+VoejrZ4tfR03ePzxx6NFixaxxx571O4Aa8CWznH16tVx3nnnRbdu3aKoqCh23HHHuOmmm+potNWzpXOcPHly7L777tG6devo2LFjfP/7349ly5bV0Wi33KOPPhpHHHFEdOrUKQoKCuLee+/d7DL5mDl1SYaXJ8MbrqaQ4RGNO8dleO2Q4+XJ8YarKeR4Y87wCDleG2R4eTK84WoKGR7RuHO83jI8kVJK6fbbb08tW7ZM119/fZo9e3Y6/fTTU5s2bdL8+fMr7T937tzUunXrdPrpp6fZs2en66+/PrVs2TL9+c9/ruORV92WzvH0009Pv/71r9MzzzyTXnvttTRu3LjUsmXL9Pzzz9fxyKtuS+e4wfLly9MOO+yQhg0blnbfffe6GWw1VWeO3/zmN9PAgQPTtGnT0rx589LTTz+dHn/88Toc9ZbZ0jlOnz49NWvWLP3ud79Lc+fOTdOnT09f/epX05FHHlnHI6+6KVOmpPPOOy/dddddKSLSPffcs8n++Zg5dUmGVyTDG6amkOEpNf4cl+E1T45XJMcbpqaQ4409w1OS4zVNhlckwxumppDhKTX+HK+vDFdE///23nvvNHLkyHJtO++8czr33HMr7X/OOeeknXfeuVzbj370ozRo0KBaG+OXtaVzrMwuu+ySLrzwwpoeWo2p7hyPPvro9NOf/jSNHz++wYf+ls7xr3/9ayotLU3Lli2ri+HViC2d429+85u0ww47lGu74oorUufOnWttjDWpKqGfj5lTl2R41cjw+tcUMjylppXjMrxmyPGqkeP1rynkeFPK8JTkeE2Q4VUjw+tfU8jwlJpWjtdlhjudS0SsWbMmZsyYEcOGDSvXPmzYsHjiiScqXebJJ5+s0P/QQw+N5557Lj777LNaG2t1VWeOG1u/fn2sWrUq2rVrVxtD/NKqO8eJEyfGm2++GePHj6/tIX5p1ZnjfffdFwMGDIiLL744tt9+++jVq1ecddZZ8cknn9TFkLdYdeY4ZMiQePvtt2PKlCmRUor33nsv/vznP8fhhx9eF0OuE/mWOXVJhstwGd6wyPGK8i1z6pocl+NyvOGQ4ZXLt8ypSzJchsvwhkWOV1RTmdOipgeWj5YuXRrr1q2LsrKycu1lZWWxePHiSpdZvHhxpf3Xrl0bS5cujY4dO9baeKujOnPc2CWXXBIfffRRHHXUUbUxxC+tOnN8/fXX49xzz43p06dHixYN/+NQnTnOnTs3HnvssWjVqlXcc889sXTp0jjllFPi/fffb5Dn8arOHIcMGRKTJ0+Oo48+Oj799NNYu3ZtfPOb34wrr7yyLoZcJ/Itc+qSDJfhMrxhkeMV5Vvm1DU5LsfleMMhwyuXb5lTl2S4DJfhDYscr6imMscv0b+goKCg3P2UUoW2zfWvrL0h2dI5bnDbbbfFBRdcEHfccUdst912tTW8GlHVOa5bty6OPfbYuPDCC6NXr151NbwasSWv4/r166OgoCAmT54ce++9dxx22GFx6aWXxqRJkxr0t6dbMsfZs2fH6NGj4/zzz48ZM2bE/fffH/PmzYuRI0fWxVDrTD5mTl2S4dlkeMPSFDI8Qo5vLB8zp67J8WxyvGFpCjkuwyvKx8ypSzI8mwxvWJpChkfI8Y3VROY0/K+K6sA222wTzZs3r/CNzJIlSyp8U7FBhw4dKu3fokWLaN++fa2NtbqqM8cN7rjjjjjxxBPjzjvvjIMPPrg2h/mlbOkcV61aFc8991zMnDkzRo0aFRGfB2RKKVq0aBFTp06NAw88sE7GXlXVeR07duwY22+/fZSWluba+vTpEymlePvtt2OnnXaq1TFvqerMccKECbHPPvvE2WefHRERu+22W7Rp0yaGDh0aF110UYP7JUN15Fvm1CUZLsNleMMixyvKt8ypa3JcjsvxhkOGVy7fMqcuyXAZLsMbFjleUU1ljl+iR0RhYWH0798/pk2bVq592rRpMWTIkEqXGTx4cIX+U6dOjQEDBkTLli1rbazVVZ05Rnz+jemIESPi1ltvbfDnQtrSOZaUlMRLL70Us2bNyt1GjhwZvXv3jlmzZsXAgQPrauhVVp3XcZ999ol33303Pvzww1zba6+9Fs2aNYvOnTvX6nirozpz/Pjjj6NZs/Jx1rx584j417eL+S7fMqcuyXAZLsMbFjleUb5lTl2T43JcjjccMrxy+ZY5dUmGy3AZ3rDI8YpqLHO26DKkjdjtt9+eWrZsmW688cY0e/bsdMYZZ6Q2bdqkt956K6WU0rnnnpu+973v5frPnTs3tW7dOp155plp9uzZ6cYbb0wtW7ZMf/7zn+trCpu1pXO89dZbU4sWLdJVV12VFi1alLstX768vqawWVs6x43lw9Wkt3SOq1atSp07d07//u//nl5++eX0yCOPpJ122in98Ic/rK8pbNaWznHixImpRYsW6eqrr05vvvlmeuyxx9KAAQPS3nvvXV9T2KxVq1almTNnppkzZ6aISJdeemmaOXNmmj9/fkqpcWROXZLhMjwlGd6QNPYcl+E1T47L8ZTkeEPR2DM8JTle02S4DE9JhjckjT3H6yvDFdG/4KqrrkrdunVLhYWFqV+/fumRRx7JPXbCCSek/fbbr1z/hx9+OO25556psLAwde/ePV1zzTV1POIttyVz3G+//VJEVLidcMIJdT/wLbClr+MX5UPop7Tlc5wzZ046+OCDU3FxcercuXMaM2ZM+vjjj+t41FtmS+d4xRVXpF122SUVFxenjh07puOOOy69/fbbdTzqqnvooYc2+flqLJlTl2S4DJfhDUtjznEZXjvkuByX4w1HY87wlOR4bZDhMlyGNyyNOcfrK8MLUmoEv8sHAAAAAIBa4JzoAAAAAACQQREdAAAAAAAyKKIDAAAAAEAGRXQAAAAAAMigiA4AAAAAABkU0QEAAAAAIIMiOgAAAAAAZFBEBwAAAACADIroAAAAAACQQREdAAAAAAAyKKIDAAAAAECG/wfglFG6EZeyFwAAAABJRU5ErkJggg==", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Crear el lienzo y los ejes\n", "fig, axes = plt.subplots(6, 4, figsize=(15, 20))\n", "\n", "# Aplanar el arreglo de ejes para facilitar el acceso\n", "axes = axes.flatten()\n", "\n", "# Graficar los histogramas de las columnas numéricas\n", "for i, col in enumerate(df_num.columns):\n", " sns.histplot(data=df_num, x=col, ax=axes[i], kde=True)\n", "\n", "# Ajustar el espaciado entre subplots\n", "plt.tight_layout()\n", "\n", "# Mostrar el gráfico\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "29cad469-a531-4fde-9980-ee4ea9df73d2", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "e6c60436-4648-4231-850a-f70f562da024", "metadata": {}, "source": [ "## Features Correlation Analysis" ] }, { "cell_type": "code", "execution_count": 53, "id": "0b1405ae-48c3-47b1-8b27-7ad0d0c3ec3a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.0, 1.0, 'CORRELATIONS HEATMAP FOR NUMERICAL DATA')" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "corr = df_num.corr()\n", "ones = np.ones_like(corr, dtype=\"bool\")\n", "mask = np.triu(ones)\n", "mask = mask[1:, :-1]\n", "corr = corr.iloc[1:,:-1].copy()\n", "fig, ax = plt.subplots(figsize=(40,30))\n", "sns.heatmap(corr, mask=mask, annot=True, fmt=\".2f\", cmap=\"Greens\", linewidths=.6, cbar_kws={\"shrink\":.9})\n", "ax.xaxis.tick_bottom()\n", "plt.title(\"Correlations heatmap for numerical data\".upper(), fontdict={\"fontsize\": 18}, loc=\"left\")" ] }, { "cell_type": "code", "execution_count": 67, "id": "1a34167c-af6e-4e1a-bee6-f526e8ee34d6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 67, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.set(rc ={'figure.figsize':(8,8)}, font_scale=0.5)\n", "sns.heatmap(corr[corr>0.8], annot=True, fmt=\".3f\")" ] }, { "cell_type": "code", "execution_count": 54, "id": "dcf87205-4570-419b-bcbb-d4ec1b326acc", "metadata": {}, "outputs": [], "source": [ "#High correlation:.80 to 1\n", "#Mean correlation:.60 to .80\n", "#Low correlation: .40 to .60\n", "\n", "#We see that our target to predict has mean correlation with total purchases" ] }, { "cell_type": "code", "execution_count": 55, "id": "ab4455ad-5467-46a1-a70f-56b846519a08", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Variables: income and spending\n", "Correlation: 0.8202215056408394\n", "------------------------\n", "Variables: mntwines and spending\n", "Correlation: 0.8959193067149777\n", "------------------------\n", "Variables: mntmeatproducts and spending\n", "Correlation: 0.8534350636911707\n", "------------------------\n", "Variables: numstorepurchases and total_purchases\n", "Correlation: 0.8317509633068462\n", "------------------------\n", "Variables: spending and income\n", "Correlation: 0.8202215056408394\n", "------------------------\n", "Variables: spending and mntwines\n", "Correlation: 0.8959193067149777\n", "------------------------\n", "Variables: spending and mntmeatproducts\n", "Correlation: 0.8534350636911707\n", "------------------------\n", "Variables: total_purchases and numstorepurchases\n", "Correlation: 0.8317509633068462\n", "------------------------\n" ] } ], "source": [ "corr = df_num.corr()\n", "high_corr = corr[corr > 0.80]\n", "high_corr = high_corr.unstack().dropna()\n", "high_corr = high_corr[high_corr.index.get_level_values(0) != high_corr.index.get_level_values(1)]\n", "\n", "for index, value in high_corr.items():\n", " variable_1, variable_2 = index\n", " correlation_value = value\n", " print(\"Variables:\", variable_1, \"and\", variable_2)\n", " print(\"Correlation:\", correlation_value)\n", " print(\"------------------------\")" ] }, { "cell_type": "markdown", "id": "425711f3-0ea1-453c-9940-fa9db5fb3575", "metadata": {}, "source": [ "## Correlation Results" ] }, { "cell_type": "markdown", "id": "a384a8b1-179a-4717-8621-0edf9fc9beab", "metadata": {}, "source": [ "- Income is a proxy for several other features, such as spending capacity or total purchases. It shows a positive relationship with expenses on meat and wine, indicating that individuals with higher income tend to spend more on these items. On the other hand, income has a negative correlation with the number of children at home and the frequency of website visits, suggesting that individuals with higher income tend to have fewer children at home and visit websites less frequently. \n", "\n", "- Furthermore, the amount spent on wine is not only influenced by high income but also by the amount spent on meat. These two variables are interconnected, meaning that individuals who spend more on meat are also likely to spend more on wine. Moreover, individuals can purchase wine either from catalogs or from physical stores. \n", "\n", "- The number of children at home is negatively associated with spending and income, and consequently, wine consumption. This implies that individuals with more children tend to have lower income and spend less overall, including on wine. Conversely, higher income levels are also linked to a greater willingness to accept advertising campaigns. \n", "\n", "- In summary, income serves as a proxy for several factors, with positive correlations to spending, meat and wine expenses, while showing negative associations with the number of children at home and website visits. The relationship between income, spending habits, and preferences for specific products such as wine can provide insights into consumer behavior and marketing strategies. " ] }, { "cell_type": "code", "execution_count": 88, "id": "97467dd9-2ed4-4e4f-abec-5ca5db6d02da", "metadata": {}, "outputs": [], "source": [ "#VIF\n", "from statsmodels.stats.outliers_influence import variance_inflation_factor\n", "from statsmodels.tools.tools import add_constant\n", "\n", "features = ['income', 'mntmeatproducts','mntwines','total_purchases']\n", "\n", "def calculate_vif(df, features): \n", " vif, tolerance, r2sq = {}, {}, {}\n", " # all the features that you want to examine\n", " for feature in features:\n", " # extract all the other features you will regress against\n", " X = [f for f in features if f != feature] \n", " X, y = df[X], df[feature]\n", " # extract r-squared from the fit\n", " r2 = LinearRegression().fit(X, y).score(X, y) \n", " \n", " # calculate tolerance\n", " r2sq[feature] = r2\n", " tolerance[feature] = 1 - r2\n", " # calculate VIF\n", " vif[feature] = 1/(tolerance[feature])\n", " # return VIF DataFrame\n", " return pd.DataFrame({'VIF': vif, 'Tolerance': tolerance, 'R2': r2sq})\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": 95, "id": "f7eb9348-ff19-45f9-aacd-6dd35db0ed30", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\danie\\AppData\\Local\\Temp\\ipykernel_26540\\2798046051.py:21: RuntimeWarning: divide by zero encountered in double_scalars\n", " vif[feature] = 1/(tolerance[feature])\n", "C:\\Users\\danie\\AppData\\Local\\Temp\\ipykernel_26540\\2798046051.py:21: RuntimeWarning: divide by zero encountered in double_scalars\n", " vif[feature] = 1/(tolerance[feature])\n", "C:\\Users\\danie\\AppData\\Local\\Temp\\ipykernel_26540\\2798046051.py:21: RuntimeWarning: divide by zero encountered in double_scalars\n", " vif[feature] = 1/(tolerance[feature])\n", "C:\\Users\\danie\\AppData\\Local\\Temp\\ipykernel_26540\\2798046051.py:21: RuntimeWarning: divide by zero encountered in double_scalars\n", " vif[feature] = 1/(tolerance[feature])\n", "C:\\Users\\danie\\AppData\\Local\\Temp\\ipykernel_26540\\2798046051.py:21: RuntimeWarning: divide by zero encountered in double_scalars\n", " vif[feature] = 1/(tolerance[feature])\n", "C:\\Users\\danie\\AppData\\Local\\Temp\\ipykernel_26540\\2798046051.py:21: RuntimeWarning: divide by zero encountered in double_scalars\n", " vif[feature] = 1/(tolerance[feature])\n", "C:\\Users\\danie\\AppData\\Local\\Temp\\ipykernel_26540\\2798046051.py:21: RuntimeWarning: divide by zero encountered in double_scalars\n", " vif[feature] = 1/(tolerance[feature])\n", "C:\\Users\\danie\\AppData\\Local\\Temp\\ipykernel_26540\\2798046051.py:21: RuntimeWarning: divide by zero encountered in double_scalars\n", " vif[feature] = 1/(tolerance[feature])\n", "C:\\Users\\danie\\AppData\\Local\\Temp\\ipykernel_26540\\2798046051.py:21: RuntimeWarning: divide by zero encountered in double_scalars\n", " vif[feature] = 1/(tolerance[feature])\n", "C:\\Users\\danie\\AppData\\Local\\Temp\\ipykernel_26540\\2798046051.py:21: RuntimeWarning: divide by zero encountered in double_scalars\n", " vif[feature] = 1/(tolerance[feature])\n", "C:\\Users\\danie\\AppData\\Local\\Temp\\ipykernel_26540\\2798046051.py:21: RuntimeWarning: divide by zero encountered in double_scalars\n", " vif[feature] = 1/(tolerance[feature])\n", "C:\\Users\\danie\\AppData\\Local\\Temp\\ipykernel_26540\\2798046051.py:21: RuntimeWarning: divide by zero encountered in double_scalars\n", " vif[feature] = 1/(tolerance[feature])\n" ] }, { "data": { "text/html": [ "
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VIFToleranceR2
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income5.1143700.1955280.804472
recency1.0118460.9882930.011707
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mntfruitsinf0.0000001.000000
mntmeatproductsinf0.0000001.000000
mntfishproductsinf0.0000001.000000
mntsweetproductsinf0.0000001.000000
mntgoldprodsinf0.0000001.000000
numdealspurchasesinf0.0000001.000000
numwebpurchasesinf0.0000001.000000
numcatalogpurchasesinf0.0000001.000000
numstorepurchasesinf0.0000001.000000
numwebvisitsmonth2.7765750.3601560.639844
age1.1212630.8918510.108149
spendinginf0.0000001.000000
dependents2.0277920.4931470.506853
year_customer1.2369800.8084210.191579
total_purchasesinf0.0000001.000000
total_campaigns_acc1.0907350.9168130.083187
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" ], "text/plain": [ " VIF Tolerance R2\n", "id 1.009077 0.991004 0.008996\n", "income 5.114370 0.195528 0.804472\n", "recency 1.011846 0.988293 0.011707\n", "mntwines inf 0.000000 1.000000\n", "mntfruits inf 0.000000 1.000000\n", "mntmeatproducts inf 0.000000 1.000000\n", "mntfishproducts inf 0.000000 1.000000\n", "mntsweetproducts inf 0.000000 1.000000\n", "mntgoldprods inf 0.000000 1.000000\n", "numdealspurchases inf 0.000000 1.000000\n", "numwebpurchases inf 0.000000 1.000000\n", "numcatalogpurchases inf 0.000000 1.000000\n", "numstorepurchases inf 0.000000 1.000000\n", "numwebvisitsmonth 2.776575 0.360156 0.639844\n", "age 1.121263 0.891851 0.108149\n", "spending inf 0.000000 1.000000\n", "dependents 2.027792 0.493147 0.506853\n", "year_customer 1.236980 0.808421 0.191579\n", "total_purchases inf 0.000000 1.000000\n", "total_campaigns_acc 1.090735 0.916813 0.083187" ] }, "execution_count": 95, "metadata": {}, "output_type": "execute_result" } ], "source": [ "calculate_vif(df_num, df_num)" ] }, { "cell_type": "code", "execution_count": 192, "id": "d21251df-6024-481c-8e79-7e82e72a4ea6", "metadata": {}, "outputs": [], "source": [ "#remving spending\n", "features_2 = ['mntmeatproducts', 'mntwines', 'total_purchases', 'mntfishproducts', 'mntsweetproducts', 'mntgoldprods', 'numwebpurchases', 'numwebvisitsmonth', 'age', 'dependents']" ] }, { "cell_type": "code", "execution_count": 193, "id": "666ff60f-d304-41fd-acbf-9941313848aa", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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VIFToleranceR2
mntmeatproducts2.5077140.3987700.601230
mntwines2.4232950.4126610.587339
total_purchases4.8615890.2056940.794306
mntfishproducts1.9642910.5090900.490910
mntsweetproducts1.7987150.5559520.444048
mntgoldprods1.4462740.6914320.308568
numwebpurchases3.0360620.3293740.670626
numwebvisitsmonth1.6899920.5917190.408281
age1.0967380.9117940.088206
dependents1.5519580.6443470.355653
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" ], "text/plain": [ " VIF Tolerance R2\n", "mntmeatproducts 2.507714 0.398770 0.601230\n", "mntwines 2.423295 0.412661 0.587339\n", "total_purchases 4.861589 0.205694 0.794306\n", "mntfishproducts 1.964291 0.509090 0.490910\n", "mntsweetproducts 1.798715 0.555952 0.444048\n", "mntgoldprods 1.446274 0.691432 0.308568\n", "numwebpurchases 3.036062 0.329374 0.670626\n", "numwebvisitsmonth 1.689992 0.591719 0.408281\n", "age 1.096738 0.911794 0.088206\n", "dependents 1.551958 0.644347 0.355653" ] }, "execution_count": 193, "metadata": {}, "output_type": "execute_result" } ], "source": [ "calculate_vif(df,features_2)" ] }, { "cell_type": "markdown", "id": "51a93243-ff3c-4778-a2e7-75d0b1320262", "metadata": {}, "source": [ "**Interpreting R square k** - If $R^2_k$ equals zero, variable `k` is not correlated with any other independent variable.\n", "Usually, multicollinearity is a potential problem when $R^2_k$ is greater than `0.75` and, a serious problem when $R^2_k$ is greater than `0.9`.\n", "\n", "**Interpretation of the variance inflation factor**: If $VIF_k = 1$, variable k is not correlated with any other independent variable. Multicollinearity is a potential problem when `VIFk` is greater than 5 and, a serious problem when it is greater than 10.\n", "\n", "**Interpretation of tolerance** A tolerance of less than 0.20 or 0.10 indicates a multicollinearity problem." ] }, { "cell_type": "code", "execution_count": null, "id": "8402f596-a428-4f02-87d2-28a0b03e96ac", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "4fda5b06-92fb-4957-baba-56e98ae9b1aa", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 96, "id": "ff7a5d50-83fb-42a3-b160-7881420b1394", "metadata": {}, "outputs": [ { "data": { "image/png": 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zcX+xckkEjR4MWImIiCgmtpXVYMfB+pCf+3wY+jmDVgK46YqIiIhioL/fi9Ly0GDVX2l5Pfr7vVG6IopnDFiJiIjikNfrQ1WdBwcqL6OqzhOVEazRVHa4IaAMIByfb/A4IpYEEBERKfB6fVHf8FRR3RjSGSDTaceDMegMECmNzV2mHkcjGwNWIiIiGbEIHCuqG/HiWydCfu5p68GLb50YMb1K3RkOU4+jkY0lAURERGFIgaN/sApcDxwrqhtNv0+v14fXd9UoHrN5V82IKA8oXjAZFpVEtcUyeBwRA1YiIqIgsQocT9c3hwTIwZraenC6vtnU+40Fm82KVYXZisesKsxmP1YCwICViIgoRKwCx+YO5fvUely8u784F6uLskMyrRYLsLqIfVjpOtawEhERBYlV4JiRYjf1uOHg/uJc3Hv7dJQdbuCkK5LFgJWIiCiIaEB48ZMOVNV5TOscMDM7AynJNnR098se43IOdioYSWw2K1YWTYn1ZVAcY8BKREQUZGZ2BjKddtWygO3767B9f51pnQOO1FxVDFYBYP3y3Ii31SKKN8y3ExERBbFaLXhwuXj9pBmdA0Q2eqUm2zA/N0v3fRANVwxYiYiIwliY58bj98xBplO8XtRI5wCRjV7t3f0jokMAkVYsCSAiIpKxMM+N+blZOF3fjMpzTdj+QZ3i8VLngPypmZrva7R1CCDSggErERGRAqvVgvypmaYElANeH06da8K11u6QMa+jsUMAkSgGrERERAKMBpTlVY14fedpXGvpHvqZ/2YtkY1eI7FDAJEI1rASEREJkAJKJXIBZUV1I15443hAsAoEbtYS2ejFDgE0WjFgJSIiEqA3oNQy5lVuo5fLacfj98wx3DYrGrxeH6rqPDhQeRlVdR7Tx9fS6MSSACIiIj9erw+n65vR3NETUmcqBZSv76oJWLp3Oe1YL9OHVcuY1/ypmQEbvcJdQzyrqG4MeW5Ee9QqPe9EDFiJiIg+JRJwaQ0o9WzWkjZ6DScV1Y148a0TIT+Xyh6UMsRGAl0aHVgSQEREhOsBV3A2NNxQACmgvLVgAvKnZipmAkfD7n8tZQ/BtDzvNHoxYCUiolHPSMClxshmreFCS9mDv0g+7zSyMGAlIqJRT2vApWVj0WjY/a+3R63eQJdGH9awEhHRqKcl4NJTb7kwz40n7psb0odVabPWcKK37IHTvUgUA1YiIhr1RAOuxqZOlOw9F/JzkY1FhfluLLtlGj481hB20tVwpnfowWio7yVzsCSAiIhGPZE600ynHXuOXlQ8Rq3eMsFqwaxpLqHNWsOJ3rKH0VDfS+ZgwEpERKOeSMB1x7yJaG7vVTxmNNdb6hl6MBrqe8kcLAkgIiKC+lCAvgGv0HlGc72lnqEHeoYx0OjDgJWIiOhTSgFXVZ1H6Byjvd5Sz9CD4Tzdi6KDASsREZEfuYBL78YiEjMcp3tR9LCGlYiISECs6y219H4lGmmYYSUiIhKkVG/5wLIZSElOxIHKy6Yvaevp/Uo0kjBgJSIi0iBcvWVbVx+27I5MQFlR3YgX3zoR8nOR3q9EIwVLAoiIiDSS6i1vLZiAju4+bCw5EVLbKgWUFdWNuu/H6/Xh9V01iseo9X4lGgkYsBIREekU6YDydH2z4iYvYHT3fqXRgwErERGRTpEOKEV7uo7m3q80OjBgJSIi0inSAaVoT9fR3vuVRj5uuiIioqjo7/ei7HADGpu74M5woHjBZNhswztvEumAkr1fiQYxYCUioojbVlaD0vJ6+PxKObe+V4tVhdm4v1i5t2k8m5mdgZRkGzq6+2WPSXUk6g4opd6v4boESCLZ+9VMXq+Pk6xINwasREQUUdvKarDjYH3Iz30+DP18OAetqnzGdvAr9X5db3If1kgFlewjS0YxYCUioojp7/eitDw0WPVXWl6Pe2+fPizLA07XNytmVwGgvbsfp+ubMWf6WN33E673q55gUqksI1JBJfvIkhkYsBIRUcSUHW5QTTD6fIPHrSyaEp2LMlE0d/FLvV/1UirLmD4pPSJBpWjbr/m5WSwPIEXD7+ssERENG43NXaYeF2+Gyy5+qSwj+MuDVJbx6+2VirfX20uWfWTJLAxYiYgoYtwZDlOPizfSLn4lsd7FL1KW0dPnVfy93qCSfWTJLAxYiYgoYooXTIZFZaXXYhk8ziiv14eqOg8OVF5GVZ0nKuNKpV38Sh5YFttd/CJlGSL0BJXDJQNN8Y81rEREFDE2mxWrCrPDdgmQrCrMNrzhSmnDkBmblZTI7eKXbNldA6sFKJw1Hh/VfoL6Sy1w+rW6inSrJ7PKLfQElewjS2ZhwEpERBEltawK3vBjscCUPqxqu9CD+6SG2/lutJ3Twjw3vD4fNpaclL2O1B3VaO/qG/p5SvLgR7DatRllRrmFnqBSek4X5WVh56EG2eOGSx9Zii0GrEREFHH3F+fi3tunmz7pSmQXenDbqeCd72a0c/J6fdiyu1bxGP9gNdx1hbs2MxQvmIyt79UqlgVYAChVDWgNKsM9pxZLYEvaSPSRpZGLASsREUWFzWYN27rKSHZTZBe6nM27alSzoqKBo5HrkLs2s1o9CZVlFA22tjJjOIFcxlsKVufkuDAnxzUiRvNS9DBgJSKimDGa3TSyu7yprQe/LT2teIxo4Gj2LndpV76Rvqv+RMsyjNb7imS8T5xtwomzTSgtr+ekKxLGgJWIiGLCjAlIRneXBy/TBxMNHCOxy93sIDhSZRn+tGSaOemKtGDASkREUWfWBCSRXehGiQSOkbiOSATBcmUZgDmjWfUE2Zx0RSJYPEJERFFn1gQkkT6ocpxjEoWOEwkcjVxHONFu9SRlu4NfEykLWl7VKNTjVk+QzUlXJIIZViIiijozJyDJ9UFNTbahPcxOfMld8yfhf45dRHN7r+wxWgJHvdcR/lyDtaSR6MsaTCTb/Ys/nAiofZXLvOrNNHPSFalhwEpERFFn9gSkhXnusBuGjtRclW3o//a+cxhjT1A8r9Z2TkrXsXlXDZqCAlkfAttbSa2fdh5qwM5DDRHpyxpMJNsd3BJLrv5UyjSHq01WwklXpIYBKxERRV0kJiBZrZaQzVFSALl9/1mU7D0XcpvOngHZ+9bbI9RqtWBmdsZQ0Hq6vhnzc7NQOGs8Lnq6w066OlJzFTsPhY5QjcbGJCPZzXD1p2qTv4Jx0hWJYMBKRERRJ5KJM3MC0vvHLmk6/oFl+rOacpuXHl6Vh5WLczB5rAP9/d6h383MzsCvtlcqnjOSG5OMZDfluij4Z5qlYFwOJ12RCG66IiKimJAycZnOwIDJ5bSbmlHU09R/6+4a2Y1FSpQ2L73wxnHsP35R1/VFcmOSlO3WSy5DK2W8HyjOxdql04ZG0UrMfp1pZGOGlYiIYkau5tPMjJueJW89jftFNi/96g8n8NPHlui6vkhtTNJbdypRytCGyzanJNuwYlE21iyZxswqCWOGlYiIYkrKxN1aMAH5UzNND2L0LnlrDRBFMqWfNHeh+rwn4Gdmb0DTQy7bbVF5KZTqT+WyzR3d/SjZexZHaq4auWQaZZhhJSKiEU1vqyWtAaJwpjSojVYkNqDpES7b3dbVi40lJ2VvI1d/atZgCCIJM6xERDSi6WnqrydAFM6UpiYF/Fvk+qK1MSk4212YP15XnXGs63Jp5GGGlYiIRhyv1xeQKZyfm6Wp1ZKeAFEkUzouw4G8KZkhG7oW5rmxuigbpeX1Aa2tLBZgVWF2TDcm6akzjnVdLo08DFiJiGhEkWsr9eDyXDy3YclQ4NXY1IX3j10MOM5o/1W1zUtf+8IcWK2WoYBVCqzlWj/5fMCOg/WYPik9pkFruB63SuKhLhcA+vu9KDvcgMbmLrgzHCheMBk2GxeXhyMGrERENGJIG32CyTXgX7NkmqkdCuSa5rucdjy0Kg9L5k6Ex9MxdK2iGd/Xd54eVvWe8VCXu62sJiRjvfW9WqwqzMb9xdpKRCj2GLASEdGIoGejj9bMoQi5JfSkpOtjYOUCazme9l5s338Ody/NMfVaIyXagyGCbSurwY6D9SE/lzLWAPDgyryI3DdFBvPiREQ0IsTTRh+lVl0igXU4JXvPoqK60czLjKhoDYYI1t/vRWl5aLDqr7S8PmDaGMW/qGRYDx06hG3btsFisaCoqAgfffQREhMTkZ6ejm9961vYtGkT6urq0NXVhaeeegpHjx7Fm2++iYGBATzxxBOYMmVKNC6TiIiGseGy0af6vEdziy1JvLSCCt7UJldKYXQwhOj9+Cs73BBQBhCOzwfsOlSP9Z8tELoOir2oBKxtbW146qmnYLfbccstt+Dxxx/Ho48+in/8x3/EpUuXUFFRgeeffx5vvfUW9uzZg5KSErzwwgu4fPkyfvOb3+DHP/5xNC6TiIiGsXjZ6KMmuA+rFnomcJlNaVNbuKyp3rILrfcjaWzuEjq/6HEUH6ISsN51113wer342c9+hv/9v/83EhMTAQBZWVloaGjA2LFjAQButxtnz56FxWJBQkIC3G43GhuNLX+YsRswIcEa8L8Ue3xN4g9fk/gyGl+PghwXXE47mpQ2+qTZUZDjikmGUnotXOnJhs7T1tUXs53u5VXKm9qeuG8uCvONL/UbuZ8JrjFC9zFh7OBxo+lvZDiLWob1mWeewbp169Db24vKykoAQGNjI3JyctDS0jL0b7fbjcTERHi93qF/62W1WpCZmWLKYwCAtDSHaecic/A1iT98TeLLaHs9vnHvXDyzqVz+9/fMxdixqVG8olCFcyZibHoyrrV067p99g3ppn62iRrw+vD6ztOKx2zeVYNlt0xDgoEvBEbv569X5GPL7hp4FcoCrBbgnuLBTVej7W9kuIpKwPqv//qvaGhowKuvvoobbrgBLS0tePrppzFlyhSMGzcOc+fOxdNPP43Ozk48/fTTcDqd+NGPfoSuri48+eSTuu/X6/WhtbXT8PUnJFiRluZAa2sXBgZYpB0P+JrEH74m8WW0vh6zstPxxH1z8VppdUCm1ZVmx0Mr8zArO32orVS0Sa9JR3s3HlwxEy+8cVzzOVxpdkzMTI7JYzh1rkk1yP6kuQsfHmvArGmumN7Pqlun4p0P6mRvv+rWqeju7EHSKPwbiTdpaQ6hLHdUAtZnnnlG8fePPvpowL8XL16MxYsXm3LfZu4CHBjwcldhnOFrEn/4msSX0fh6zJ8xDvNuHBt2s048PBcDA17MnzEubL/W1GQb2rv7ZW+7flkuvF5fyKSsaLjWKpYRvtrShYEz13T3thW9n2ut3bKv59/cMR2+Aa/s5LC/uWP6UJA6Gv9GhiP2YSUiohEnEv1VzSa3g/5IzdWwgwf0TuAyi+hmta27atHW1Tf0b5GNUnruR+24+4tzce/t0znpaoRgwEpERCOOnnZIsRAusF6Y58a86eMMB1qiz4Ho+FKR6VUAAoJVQH7KmBwzp2TZbFasLGJrzJGAASsREY0oetshxYtw119aXq/p+surruC3pafRrpLp1DK+VGR6lRLRHrKxnpJF8Yl5cSIiGjGkkafB2Tkpyxfvk6LMuP5tZTXYWHIyIFgNdw5pfGlwk31pfOm2stBpXHLTq5yORNXr0jJlLFZTsih+McNKREQjQn+/F5t2VCseEy+TosIRGdmqdv3lVY3YcVB5LOnmXTW4KWes0PjSe2+fHlIeEK721tPWg19tr1Q8H6BtypjRKVk0sjBgJSKiYa+iuhGv7qgOySoGi4dJUXJO1zer1ocqXb/X68PvSpUDdukcW9+rERpfWna4IWwNaHDtbVWdR/V+Ae1TxpQ2zw2XOmUyBwNWIiIa1qRldFFasnzRJHpdcsedrm8O2fAk54rH3PGlZm6UEjHc65RJO9awEhHRsCWyjB5Ma5ZP9Dqq6jw4UHkZVXUeXX1SjbZz0hKIj88Um+7kzhA7TtoopcSsjVLDvU6Z9GGGlYiIhi2RZXR/Zmb5JGZl+4xmKUUDXqcjEQ/clYs9Ry8qlgVYLEDxgslC5wSub5SKZA9ZM+p8aXhiwEpERMPWkZqrmo5Xy/JprYuUK0eQsn0b1s6G05GE5o4ejE1Lxi3pY2TPZbSdk2if1IdXzYTNZsWivCyUV8k/f6sKs2G1WlBV5xF+PiK9UcponS8NXwxYiYhoWPJ6fdh/4rLQsanJNnzps/mKWT6tmVKRbN8v/nAyIIs59o+VWLc8FylJtrABnVyWMtx1hGv4rxbwri7KhtViwfc37pcN/KTxpdMnpYccJ5I5juSUMaN1vjR8MWAlIqJh6XR9Mzq6+4WO/frdszHnxrGyv1fLlIbr/SmS7Qtecr/W0o0X//ujgJ+FCwJ9QTcM/rdSw/9wAa9zTCIeXpkHqwWKAe1tcybgS6vzcezMJ5qfj2gwa2wrDT8MWImIaFjSkkVr75bfPS9aFzlv+jjUXmgZyow2tXcL378S/yAQCB9QNrf3Dh1z5kJL2F6rUsP/1UXAcxuWhCzLA8D3N+5XvJZTn7anitc60Wh3I6D4wYCViIiGJS1ZNKVjResiv/PivoA+ryLTnbR4fVcNenqVM8avvFOlmlWWGv4HL8tX1XmEHmfZ4Ya4rRPl2NbRi22tiIhoWJqZnYGM1CTV4zJVMm6imdrgoQSiPU9Fedp60NkzoHiMSAmE1PA/mOjjFO29KnI+ve2+lG7Hsa2jEzOsRESj0EiYEmS1WvDQipmqQwMeVMm4jcR6x3BBp+jjFO29qnY+ve2+RG7Hsa2jDwNWIqJRZiRNCZKybeGWylMdifjS6jzVxyTaDkpJqiMxIANrsYRuuIqmcEGnaP1n8YLJKC2vN1QnqmcTm9bbRbIbAcUfBqxERKOI3kAinknZtqo6D6rqPYAPyJ+aifwpmUIZtyM1V9Hbp7wUr2b9slxkOu1D2b62rj5sLBEfF2smuYb/ovWfNpvVUJ2o3ub+HApASljDSkQ0SogGBHrGisaa1WpBQY4L994+HffeMR0F01xCQY0UwMvVhjqSEoTuP9NpR/7UTNxaMAH5UzNRmD+Y+TV7Y5aIVYXZsNnCf7yL1n8aqRPV0tzfjNvR6MAMKxHRKMEpQYFEAnh7ohXJdpuu5fGFeW709A/g1388ZfRSQ+6vMD8L7x5qCCg7kBr+31+cq3h70fpPvXWiepv7cygAKWHASkQ0SjAgCCQSwDd39GHt0hyU7D0re4zS8rgrNdnQNcrd38I8N/76jhkhk67kMqvBROs/9dSJ6m3uz6EApIQBKxHRKDFSAwK9HQ9EA3O3yxF2epTLaR8KHuVIrbea23uF7ktJ8P3ZbFasLJpi+Lxm09vcn0MBSAkDViKiUWIkBgRGOh5oCeDzp2bqWh4/UnMVff1eofsJ5675EzFjUsZQL9nhsNlIb3N/DgUgJdx0RUQ0SkgBgZLhFBBIG6aCA3Cp40FFdaPi7du61LOe/gG8tDwubaxSe57UNnSJ3PdDK/KweE7g/fX3e/HuwfP43bvVePfgefQbCIgjRe+mLQ4FIDnMsBIRjSJSQKBneTueGG2B5PX6sGV3rer9PLBMXwAvcn3BvVuDhfvysK2sBqXl9QGbrba+Vyu02Sra9G7a4lAACocBKxHRKDMSAgKjHQ9Ebg9Ad1sqkfO3d/Vh7dJpeP/YpZAvD/ffNQPXWrrxu3erhzZUvfk/Z7DjYH3IeXw+DP083oJWvc39ORSAgjFgJSIahYZ7QGC040GkOyaIb+gag+c2LAn48nCs9ipe+uPJgCzqljL1bHBpeT3uvX26cKcAouGE72oiIhp2jHY8iHTHBC3n96+NPX7mE5SWN+ga6+rzAWWHG7TfkGgYYMBKRETDjtTxQIlSxwOjt4/E9fX3e1FaHrrkr0Vjc5eh2xPFKwasREQ07BjteBDpjgki57993sSAf5cd1pdZ9efOcBg7AVGcYsBKRERR4fX6UFXnwYHKy6iq88Dr1RadBd9+fm6WoRZIkW6hJHd+Scnes/j+xv1D7beMZkctFqB4wWRD5yCKV9x0RUREqvROk5IYafAvd3unIxEPr8oL2bSk5doi3TFBOv/2/WdRsvdcyO+lnrGP3zPHcHZ0VWE2N1zRiMWAlYiIFJkRbIabXiQFa2uX5mDNkmmyQaLc7du6+rCx5ARWFxnrQRqNjgnvH7uk+PvNu2rwr1+7FVvfq9VcFmCxIC77sBKZiV/FiIhIltFpUiIN9Ev2nsX3/nNf2HOJ3H7HwXqUV11RPCYSgksU+vu9YUseRHvGfnypFfOmj9V8HX9/3zwGqzTiMcNKRERhGZ0mBYg36G9u7x1aGvfP2ore/nelp7Fwpjtqww/CZZ0tFgRkR6UsdN+A2OjUpvZu1F1p13wt7T3y07KIRgpmWImIKCwt06TkaG28v3lXTcBmLNHbt3X1yV6Hkc1e4W4rl3UOXsqXstCNTWKbqdo7+oSC82B6e8USDSfMsBIRUViiweKRmquyNaBag6ngcapabh/ueo3U34a7bUZqEvr6xTKmkl0V9chITUJze6/sMS6nHc4xSZrOK91Ob69YouGEGVYiIgogZRUvXu0QOn7noQbZWlaRBvrB/APPmdkZcDoShW4XHNwaqb+Vu21zey86uvuFrkfS3tUf0nM12APLZqCtUz6glWOkV2y0GW1rRqMbM6xERDQkXFZRhFwtq9RAP9wufzn+gafVasHDq/KwsUT59pmpSfD6fDhQeRkZKXbMmJSuu/5WpHZXK6/Xhyfum4vXd57GtZbuoZ+7nHYUzXJjy+5aTc+5y2nHesEuDfHAaKcJIgasREQEQL59lIjgpXx/UgN9kUA43BJ3Yb4bZ4uyseOg/NjS3n4vfrrl6NC/Ux2JaO9S3owkd82iG700sQw+jmW3TMOHxxpwrbUbGSn2odZcolYsmoz5uVmqvWKN9s01k1pbMzOGNNDIx4CViIhMySoq1byqNdCXPLAsN2ygdX9xLnImpuG3pacDAtHUZBvau/tDlunVglWla9a6UUxEfvZgUJxgtWDWNBf6+73wen34/sb9QrfXklGNp2ymGZ0miAAGrEREBHOyimobpKxWC+5eeiMmZaWGBFTXl8blA63C/PFYONM9FNCmOZLw8p9PARprStWu2exd96nJtrCZZ9HnfF3xDCxflC0U0EU7m6mWydXSaSLSwxtoeGPASkREhrOKWnarhxuH2tbVi40lJ0OODQ60/KdSVdV5DAXZctcsbRQzqyzgS5/NDxtsij7naalJQsFqtLOZIplc0ccYiaw2jSzsEkBERIazilp3q0uB560FEzAzOwNbdtcqHh/cnxUwHuTIXbO0UUxUSrINd982Dekpgd0MMlOT8Pg9czA/NwtVdR58cOIyPqr9ZOhxiD7noseZ0TdXlGgHBrMfI41ezLASEZFQVjHVkQhbgiWgn6gZu9X1LhuLBjlORyLa/GpaRa5Z2ii2aUe1aj1sR3c/8qdk4u7bckKWx4/UXMX3N+4PKX9YvzwX83OzVJ9zLZnraGUztWRyZ0xKD5kAFsxiAWZMSjd0TTTyMWAlIiKh9lNfWp0XspRvxu5zvYFWW1evajDkctrxk28sRu2FFs3XvDDPjd4+L361vVLo2vzLFQD5etImvzIHted8/aeZ3qo6j+r1RyubqTWTq/T6SL+vvdDCGlZSxICViIgAyLefCs5Imh1Y6Am0Kqobw9a8Blu/PBc2m1X3NYsOPQh+DCJZyNd31eArn5uFFYsm48DJK2GzwABCMrRyO/5FsuRmTMaKRCaXNaykhgErERENCbchSgpwRLJ8emgNtESCQYsF+OYXjO+I13Ntp+ubUVnXpJqF9LT14Kdbjw79O9WRiMWzxw/1WT1Sc1XTjn+RLLkZk7EikcllDSupYcBKREQBwi1tR7Kvp9ZAS2RJ2ueD8EhXs65N75QwSXtXH3YeahgKfvXs+BfNkhuhNYiPRtaXRj4GrEREJCtafT21BFqRWJJW6icqcm1GpoQF27yrBg67TXf/UrksuVkZca1fMKKR9aWRjwErERGFFe2+nqKBltlL0iIZZKVrM2NKmL+mth5U1XmEjpULyoOz5Gabn5uFtUtzsPNQfcCUsXBfMKKR9aWRjwErERGFFYspRSKBlhmbi6SM6pGaq9h5qCHk9+EyyP7X5p+RbW3vNW3IwBDB+D8WtZ/hAvyUZBtWLJqMNUtywn55iXTWl0Y+BqwRoDaqjohoOIjXKUVGNxdpqTUNl0E2WqsqIj87E/ucl+Ou9lOu9KGjux8le89hUlaqbMY00llfGtkYsJos0psTiIiiJR6mFEkJgKb2brR39ME5JgmZTjvm52bpWmbWWmsanEE2s1ZVjstpR/7UzLir/RRq1bXztGklIiMJE1nGMWA1UbQ2JxARRYPI0ntmBLN8SplMKRHw3IYlwoGA3lrTyrom4Z37ZpACUTNrP80ImERKRDztvdi+/xzuXpqj6dwjGRNZ5mDAapJob04gIoo0kaX33r4BHKm5avoHr1omU08iQCTgCmf7/jrs++gy7pg30dQygJRkm9CGJaO1n2YFTKKlHyV7z2JSVgqDMTCRZSYGrCaJxeYEIqJIk7J8r7xTFRBcSTq6+03/4NWSCdWSCDBSa+tp60HJ3rO6b+/PlWbH+mW5woGokdpPMwMmLaUfTNAwkWU2BqwmidfNCURERs3PzcJrO08rHmPmB6+WTKiWREAspymtK56BzLRkZN+QjomZyfB6fQDMH3Prz+yASaRERMIEDRNZZrPG+gJGinjYnEBEJMfr9aGqzoMDlZdRVecZCphEnK5vRnN7r+Ix0gevGbR+sRc9vq1L+TFEistpx/JF2Vg8ZwJumjEuatk00YCp6rxYz1epRETUaE/QMJFlLmZYTWJGX0AiokgwWsMY7Q9erV/sRY73en3YsrtW7yUZEqtJTqKvx8aSE3j0s/lC74WFeW6sXToNJXvPqR472hM0TGSZixlWk4h88+T4OSKKtvKqwRrG4C/TUg1jRXWj6jmi/cErJQBEiHYpqKrzmLZhau3SaSHXl+pIREpyYA4oJdmGtUtzMD83y5T71Ur09ZDqkEXeCwCwZkmO6uvDBI3Y+5jPkzhmWE3E8XNEFE8GvD68VlqteIxIDWO0V5CsVgvumDdRaJPTHfMmqiYCKqob8co7VUL3HbxzP5jLaceaJTlYsyQnZMMUAGzffxY7DzWgo7v/02b6Z/H+sYu4v3g62jr60NLVj3SHDXfePAk2m3k5o3Btq7TUnALi9axGBzdoeQzDOckTqedptGLAajKOnyOieFH58TU0mbDpIxYfvG6Xw5TjtDb6X7EoWzFQ9n+cwc9ZRXVj2KVyT1sPXvpDZcDPNu+uwarCbNxfLL8yJxrAKZV8qL1u/rRsAJJL0DgdiXh41UzNCZqR2quUiSzzMGCNAI6fIxp5hmP2p6m1W+g4kVrHaH/wGi1DkDaZiWZWASl7Og03jEvB70qr0dbVF/A7/8cZ/H6YMSld01ABnw/YcbAeAMIGraIBnEjbKqW2ZMG01CEvzHPD60PAc9XW1Yctu2thtViE3xMjvVcpE1nmYMBKRKRiuGZ/XGnJQseJBofR/ODVWobgH0A2NnViz9GLqp0Ngq1fnosjNVexZXdNQLCa6kjEA8tmDL3W4d4PTkdiwG1E7ThYj9nTXJg1zTX0PKoFcBvWzkFhvlu4bdWzG5bAkWTDT7ceVb0eLXXIFdWN2FhiLNAcLb1KmcgyjgErEZGC4Zz9KbhxLFxOu2JZgNbaU7M/eOUy11rKEJRGuIpISbbh0c/mA0DY+2vv6sPGkpOw3mORPUZPsCr52bZjQ1+A5udmqQZwv/jDCQCz4XQkaerzaWYdskiguWlHtWqgyV6lJIoBKxGRjOGe/UmwWvDQqjy88MZx2WMeWBa7TR9qmWuRMgStNarhbFg7B/lTMvH9jfsVj3t952nAEpnnSvoCtHZpjmoA5/MBG0tOYsWiyULnbu7oMb0OWSTQbO/qw/b9Z3H30hsVr00Ee5USA1YiIhnxkP0xWjtbmB8+6JNs2V0DqwVRzxKLZK7n52YhJTkR990xHW2dvUhNSYQrNXnoOdAywlWOy2lH/pRModfao7HEQI+dh+qFj91z9KLQcdIyv5l1yKIB5M5DDVizJEf2PctepSSKASsRkYxYZ3/Mqp0d3Bzjw8aSkyG/i0Vpg9By8jtVso9dCn60jHCVI2WY4yWDJ7IxStLX71U9JiMlMWCZ36w6ZC09XpW+0HHoDoni4AAiIhmxzP5IGUgjDf8lIlOeNu+q0TSu1Qih5eTuftXHbkaQuWV3DSqqG019DVMdiYZuHzyAwIjZOa6QYFSqQ761YALyp2bqKgmZmZ0hfJ1KrxOH7pAoBqxERDJiNalGtHZWNMDUUtoQDUYDTemxmxFkSkFw1XkPMlKTFI/NTE0Sej/8/PHb8OT6+fj63QV4cv18rCrK1lT6KlqbKsKeFJmFVKvVghWLsoWOVXudpFKF4OfW5bTH9aZGii6WBBARyYjVpBqza2djXdoQrLGpy9DtpceudZKTkrf3nVPNGD64YiaA8F0CJOuX58Jmswa8LvlTM/HXt09H2ZEGlPzlLLp7B2Rv7xyTiHGZDtx92zT8cf85+Awmvd0ZYgMY1ISrpV6zZBp2HqpXnQwm8oWOvUpJDQNWIiIFsZhUY3aAGU8bW7xeH94/JrZZSInoznctpMAreDxr8GstN+Hp1tnjkZKcCK/XN7QpzD8AW33LVORMzsQzm8plr6Gtsw+//uMpAMAYewI6e+SDWzUWC1C8wHi2VqmW+tHP5pv2hY69SkkJA1YiIhXRzv6YHWDG08YWMzZKAeo735MTrejuU9+UFE5SYgI2fGEOWrt6w77W/u+HIzVXceDkFbR19WHnoQbsPNSATKcdt8xy48NTjSFfcr5x71w8cd9c/K60WvV5kILV4ABa1KrCbNhsxir/RCdpcfQoRRoDViIiAdHM/pgdYMaqtCEcM8oOgh97uC8UJ8814U8f1Ok6v6dtMHt7a8EE2WOsVgs6ugeD1HC3l8au+mtq68Ezm8rx2cVT4dOw1q+n9evKRZPCjnzVQsskLS7nU6Rx0xURUZyJxM7peNnYYkbZQbjHHrzzfZbBLxdqgbWRHrDvfFCnaWxse5f27OrOigvYVmasR62WWmozOg8QKWGGlYgoDkWidjYeNrYY2SiVmZqEB1fMFHrs+VMydS+lA+qBtVmlDZHi82Eoy6sl0+pfd3vxkw6h28Tz80AjBwNWIqI4FS7AnDEpHbUXWnCg8rKugDPWG1uMbJT6ypoCFExzCU3/slotqhuC5IiUW0R70EByUoJidwE5peX1uPf26UK1rOE2V4nYvLsGSYlW4S9RRqe30ejEgJWISECsPmT9A8yK6kb84KUPDE++khOtxyiXPVbT2tmrafrX4GhX7VlWkXKLaI8K1ROsAoOZ1rLDDVhZNEXxOLnNVSLau/qEp6WZNb2NRh8GrEREKuLhQ1Zkt7aRa4n2Y/TPHleea8J2gQ1SjU1dKNl7NuTncs/B6fpmTcGqlnILM3vARlpjs3LfWyP1uP4276rB/Nws2WA/0u9hGtm46YqISIGZI1L1MnvyVbBYPUYpe7z2MzeqTpDKTE1S7d8a/ByILtsXL5iEJ9fPx7MblggHTCIb4+KFNDzA6/Whqs6DA5WXUVXnGXquzKrHVZqWFun3MI18zLASEckQ/ZBVyiqZwezJV/7i4TF6vT4UTM3AvhNXZI+54+aJKNl7TvE8wc+B6LL9ojy3rrpeudIGiwWGJ1SZxQJg4tgUlFddwZbdtWEz6H0D+vrVhiP3JSGS72EaHRiwEhHJiJcP2UiOVo31Y9xWVoPS8nrZAM/ltOOBZTNQ39gudD7/5yAaAxPCbYxr6+rFxpKTms4TqSDXB+Dnvz8W9ndSBn3t0hzT7k/uS0K8jQem4YcBKxGRjHj5kI3kaNVYPsZtZTVhG+xLivLdWJjvxpbd4puz/J+DaA1MCNd5wXqPRdOmsq/fPRvpY5IMDTzQ6/1jF5GRmqTYGzbTaYfP51M8Rin4j6fxwDQ8sYaViEhGvHzISplCJXozhbF6jP39XpSWywerAHCwqhEbS0Jra+WEew5iNTBhYZ4b//aNxUh1JAod//uyWrR19WLfR5d032dyUgKSbNqDb09bD+68eaLiMQ8uz8VDK2YqHlM0yy0b/EfyPUyjAwNWIiIZ8fIhG4nJV5JYPcayww2mL4HLPQcL89x4bsMSfO+Bm/G5xVOwuGA8Fs+eAEeSLaKbfGovtKC9q0/o2Ka2HmwsOalpAlawuTe60Nuv7/G4XWNUA/uFeW6sLsqWPceOg/WyG/Qi+R6m0YElAUREMqK1pCwiEpOvgNg9RrVWS1qIPAdHaq7ilXeqAtpc/elAHVKSbXj0s/mytxXtTRvuOLPLKDKddkwdn4qjtdfC/v5g1VXd585IsSN/aqbiJDSv14cPTyl3jFDaoBep9zCNDgxYiYgUxNOHbKRGq4o+RjMHC0itloxas3gq7r4tB7UXWrD/5CW0d/TBOSYJmc7r16fUFL+ju1+2B6hob1q54+6Yd4Mpj1Hy5dX5+M2OKlPPCQRm0JUmoZmxQS8exgPT8MSAlYhIRTx9yEZqtKraYzR7sEDxgsnY+l6t4bIAW4IlZPqX//WtW5aLLbvVm+K/vvN0QGZQtMm90nEle8/pmrQl5/QFc/qlBhPNoJu1QS/W44FpeGINKxERAbgeSNxaMAH5UzNDgjczBwvYbFasKpSvhxRVsvecbBDnaesR3rTlae/Fazur0d/vFe5N29/vVT3OzK805ZXmDnDQuvEsXjYh0ujEDCsRkYp4GM0aK5EcLHB/cS7OXWpDlcx0pGh778hF7Dl6EYV5bqGl77LDDarHtXf3Y+3SHLx/7KKh7GiaIwFXBOt+i/LdqLnQElLe8cCyXDgdibpXCaLR15ZIDgNWIiIFo33+eaQHC3zngZvx9Z/u0Xl15vP5BttpiRDdOOZ2OfDchiX41faT+FBnltSV5kBrl9jwhJoLLfi3byxG7YUWU0tY4mkTIo0+LAkgIpLB+eeRHyxgs1kVWyXFM9GNYxkpdni9PhxU2WGvpG9A/D3maetB7YWWsOUdRsWqry0RM6xERDJiPbY0HrBuMTyX047iBZNRWl4vtES+65D8+FkRWRnJuPBJh/DxkZy+Fi+bEM3sWkHxjwErEZGMeBnNGksidYuOpATceEOarvOLTLwyarB+cwZe3VFt2o799ctzYbNZhZfIjfSddTnt+Pqa2XjsP/5H+DaR/gIR653+o7mufLRiSQARkQxmF8UmFHX1DmDDv7+PbWXq7aOCRWLiVbD1y3NRmD8e/+/bn8H31t2MWYKB1m1zxqsufYsukRvpO7t+eS6Sk224ecZYoeNH+sanSHStoPjHDCsRkQzuih4kN1jAn883OJoTGNz9L2rficu6rkkaagBA9rqCBx9YrRYUTHNh5uQMfONnexQDZYsF+NLqWbBaLarLziJL5Hr6zgZf/7fvm4fn3zgmO+lKMpI3PkWyawXFNwasRDQq6Kl3467o6xbmuXFTzlhs+Pn7UIq5Sg/W497bp8NmU1/A21ZWg/pGsZ3vwR5Ydj2Qk4LFa63d+PhiC2ABxmeMQfGCyQHX4f8eKMxzK3YDWFWYPXTb4KVv6TyftHXh7IVWABaMz3SE3J8/m82K1bdOxTsf1MnfZ1E25k0fp/ge/fZ989DbO4D/763jqDrfjH6/zVijYcQp68pHLwasRDTiGal3i6fRrLG25+gFxWAVAHwANu04ha+sma14nNHa1S27a7Bw5mAWzWq1oKO7D2/+z8cBr1Fpef3QaxzuPWBPtKK3zxvwmCyWwWBVLksc7jySre/VKt52/bJcOOw2vPX+mYBMq9p9BktKSsB3Hpg/Kjcdsa589GLASkQjmhl9VONlV3SsiW4cOlR9FV/+nE/x+TFau+rxy6Kpvcari7KHyhX89fR5AQzWqtqTbHBnKGdJ5e5HIlcWIQWWbV19WDRrAj5XNAW7DtWjsblL9T6VxHrjUyywrnz0YsBKRCOWmfVu0Q4O4jF7JrpxqKfPq7oka2TXvKS5o0foNQ4XrPo7VdeMZzcsUXx+Re5HUlp+vSwiXEZWys6vLJoidD66jnXloxcDViIasYZrvVu8tuwpXjAZW8tqVcsCAPUlWSO75iWt7b2oqvMYGnkKqL8HvF4fdh1S7rfqz+cD/uudU5iQ6UDJ3nNh708uux+PX1TiCevKRy8GrEQ0Yg3Herd4HgVrs1lRmK+8WUmitiSrZ9d8sC1ltUhJNudjTO49oFSzquTAySuqxwRn9+P1i0q8YV356MSAlYhGrOFW7xYvLXuUsnxfv3s2jp35ZKj+MxyRJVmbzYpVheFrS7UwaxBAuPeAWs2qUU1tPdh1qB5pqUlobOpCyd6zIcfEwxeVeMS68tGHASsRjVjDrd4tHkoY1LJ8VqsFX11TYMqSrLQxqfRgvVCZQaRYLMCMSekBP9NSs2rElrJaoeM276rBvOnjUHuhJe4DtGiVNYzGTWejGQNWIhqxhlu9W6xLGETLEfQsycoFMfcX5+Le26dj045TOFR9VTFzGyk+H1B7oQUzszOGrrG1vddwbayZmtp68N0X96Gtq2/oZ/FYLsCyBooUi88X6aF4gyorK/Gzn/0ML7/8Mh544AHk5OQgOTkZ//zP/4xNmzahrq4OXV1deOqpp3D06FG8+eabGBgYwBNPPIEpU/TtpBwY8KKpqcPwtdtsVmRmpsDj6UB/f/T/Y0qh+JrEn3h+TZR2asfTh2hVnQfPbj6ietyT6+erZpa0vh5erw/f37hfNRvtv5teKZPm/7vGpi68f+yiahAj3abyXBO2KzTYl5OcaEW3zoB3xaLJOFR9Na6CVFHxUi6gVkIRL9cpief/Zo0mLlcKEhLU27pFJcNaX1+PPXv2wGaz4cKFC+jt7YXD4cDs2bPR3d2NiooKPP/883jrrbewZ88elJSU4IUXXsDly5fxm9/8Bj/+8Y9137ee3nbBpCdS5Aml6OBrEn/i+TW5ZfYEFM4aj+rzHjS39yIjNQl5UzLjJrMqKchxweW0o0kpaEyzoyDHpXrtWl+PU+eahMoRzlxswaxprqGfzZkeOt++vKoRr5VWKz4OKWv7xH1zUZh/PYiZM31sQBZRiyfum4df/OEE2jq1337noQZd97kgdxxgAQ6f/kTX7c2weXcNCmeNj+n72ev1YbNa/XUcXKe/eP5vFoWKSsCanZ2Nxx57DI899hhSUlLw7LPPIjc3F9/97nexePFijB07+B88t9uNs2fPwmKxICEhAW63G42N6rtR5VitFmRmppj1MJCWZrwNC5mLr0n8iefXZMnY1Fhfgqpv3DsXz2wql//9PXMxVsPjEH09+s56xI7zKf93df/xi3jhjeNC5wIGazOX3TINCX5BTPYN6Qq3CG9chgO3LciGNTEB//bqIU23tVoAr461xnEZDvyfry8BAHzl//currV0az+JCZpae3DR042bZoyL+H0NeH2o/Pgamlq74UpLRsGNY5FgteCj2k8Uv6BE+zq1iOf/ZtF1Ua9hvXDhAlpaWpCbm4vU1MH/6La0tAAAGhsb4Xa7kZiYCK/XO/RvvbxeH1pbOw1fc0KCFWlpDrS2dmFggMsG8YCvSfzha2KOWdnpeOK+uSEZSleaHQ+tzMOs7HR4POqlTlpfjzP1YgFrosUne/9erw8vvSkerALAJ81d+PBYQ0DWdmJmMlKTbWjX0AFg/fJc7P7wHF4rrdZ0/4C+YFW6z9aWwc+YB1fM1BSom63+Ugsmj41s4HWw8go27agKyGC7nHY8uGImzl9pEzpHNK5TFP+bFR/S0hzxUxLgb+rUqfjf//t/Y8+ePRg/fjwmTZqEuXPn4umnn0ZnZyeefvppOJ1O/OhHP0JXVxeefPJJQ/dnZl3KwICXdS5xhq9J/OFrYtz8GeMw78axYetDtT63Iq+H1+vDe4fVl8RTHYmYPjFd9nxVdR7VLFs411q7A85ZUd2oKVhdXZQN74BXsX5y7o0ufHypDe1dgcHWwrwsXeUAqY5EzLtx7NB1z58xLuxGNKOcjkShEgmnIzGif3fbymrCtiBrauvB//fmR8LnifR16sH/Zg0PUQ1Y//M//xMA8O///u8BP3/00UcD/r148WIsXrw4WpdFRBR3otmy53R9M5rbe1WP6+0bgNfrk61B1Nu9wL8Hqp52Uh9WXsGHp5TLxxquduDnj98W0hbqdH2zroC1vasvpL1YcG/QFHsi/v33xzSfGwDWLJmKgqkuzJiUjh+89EFMW7OVV10x3C8XiK8WcjT8sNKYiGiUEw00e/u9+O6L+1BRHT441DuAYWDAC++n6/IivWiDeQRaUDW19aD2Qgvyp2bi1oIJQ8FqU3s3nI5EXdcd7nmTvmjcWjABiQY2/U4cl4L8qZmw2ax4cHmu4rGRbM3m9frw29LTppwrnlrI0fDDPqxERKOclkCzratPdvKSyKCGcH627dhQm6u+CNYSSgGm3nGrwYIzw8ElHEb65aaNSUJVnWfofBvWzsGW3dFvzXa6vjmgjEKPeGwhR8MPA1YiolFuZnYGUh2JmgKTcCNiRQY1yJHaXBXlRy6oyUixmzZu1X95W65Z/h3zJuo6d6ojEb/eXhlQppHptGPdshlwOpJ0TZDSO33K6JCKNUumYu3SG5lZJcMYsBIRjXJWqwWPrJqJjSUnhW/T1NaDqjoPCnJcAT+Xm4Il6mCV/laGSlxO+1A9qBKnIxHrluXianMXSvaelT1OWt5Wmg5WsvcsUpJt6NCwgQxA2C8OnrYebCw5icfvmYNbCyZoOp+R6VN6yzwkBVPVewYTiWANKxERoTB/PFYXZWu6zcY/nAhbz7owz43nNizB/XdNN+vyDFu/PBe1F1pUg+i2rj7sOdKAy55OfH7xVGQ6AwM2l9M+VA4hskHMYhEP1jKddqQkK+eRNu+qGar3FSEF1MGPW8poy9UjS6QyDz24yYrMxAwrEREBAO4vzkXOxHS88udT6OodUD2+o7tftp7VarUgQ2egYyb/+skDlZeFblNzoRU1F1oBDA4V+PxtU3HD2JSQpXSRDWLtXX1Yu3Qa3j92KeBYpyMRtxS4MS7dAeeYJGQ67fB6ffjp1qOK52tq6wnpTiBHJKAOV9rhz0iZBzdZkZmYYSUioiGF+W78v29/RtPOebmsn9HlZKOK8t14dsOSoWBaz/V4fcAf99XhYOUV5E8NHOcrWt/pdo3BcxuW4IcPL8Ddn7kRzjGDvVV3VVzAlrJavPH+GXR096G1S721mJb7FQmopQBYiVTmEZxpdToSsapwsmIWmsgszLASEVEAm82KL67OE86qyWX99HYNMEt5VSOW3nQDCnIG6yiNXM/R2mvYWlaDB4qvt5gSDYAzUuywWi1o7+7H23/5OOT30vL82qU5QudrbBKb4Cga2IocF9xj1j/b/Dd35era0EWkBTOsREQUQsqqqdVUSuR6kqr1ENVCQzkoAMAH4Oe/P4bvb9yPiupGw9fzbnl9wESkmdkZqs+PVMfp9fpUx8a+f+wiMlKTVK/j/aMXw2a0vV4fquo8OFB5GVV1HqQ51M8FiAfe/j1mpWyz3u4DRFoxw0pERGEtzHPDYbfhp1uOqh4rF/TIdQ2wWACfX8zlctpRNMutOFFpVWG2rolLUgZTWqbW28XA5wPKDjdgZdEUAMCRmquqHQCKZrlhtVqExtZ62npw25wJ2HdCudbW094bktGW6wSg1qXAyMYoI90HiLRiwEpERLLyp2SqLqOrBT3hlpNnTErH6YZmVNV5AAuQn52J/KmZmD4pPSQI8t84NX1SOl7dUY02Hc3spQ1G/tfzP8cv4sDJK8LnaGzuAjCYzXxtp/oEqA9PNeK+O2cIB8dJiQlCx/lntJVaa6nRuzFK6T7lNuIRGcGAlYiIZInsEhcJeqTlZElwdm476oayc89tWCK7zLwwz41508fh7174Czp71DsZ+POvtZWuZ8akdHxYeSUg26tkXHoygMENTf6N/eV4Pr3Ptk6xDVWDhQzqpIy2SCeAVEcibAmWgOs1Mn3KjO4DRFoxYCUiIkVyy+h6gx6j2TmbzYovf26WrlZLwbW2NptVU6lB6cHzyMpwaBoh29zRg9QUsa4LVgs0ZbRFW2t9b93NsFosptSaauk+INJ+i0gEA1YiIlKltEtcC7Oycwvz3Niwdg5+vb0Sff3iwWO4Wtv7P935LxK0tnT0fbqjf5rwfV78pAOpyWIB68FTV/HwqjxsLBHLaIt2Amjt7NU8IUuOmd0HiEQxYCWiUY87ncUEL+vrYVZ2rqK6EVt212gKVpVqbe8vzsW9t0/Hz7YeQXV9i+q53j86uKNfpCxg+/464Wts6+qD05EonNHW0lrLLLG4TyIGrEQ0qnGnc3SZkZ2TKylQI1dr6/+F5QtLb0Rv3wD+443jiufytPdi7dIclOw9q/k61DR39ODWggkBGe00RxJgGcyUVtV5hr5UifSWNXtEaizuk4gBKxGNWqNxp3Oss8lGs3MiJQXBMlOT8OCKmWFfy3BfWER7z7pdDjx+zxy88k6VansrLaTHLmW0K6ob8fKfT8l+qTJjU5wWZm3EI9KCASsRjUqjcadzJLPJooGwSHbO6UiEp60nIJMoESkpCPaVNQUomOYK+bncFxbR4DMjxY78qZmYn5uFqjoPquo9uNbcjQ8qxdtkBUtNtuHk2SZUnmtC/tRMdHT3h61nFektm5Jsw4pF2Zg3fRyq6jymfkkxeyMekRoGrEQ0Ko22nc6RzCbLBcJ3zJsIt8sRECSJZOfauvrwq+2VQ+fxD6j1bORpDdNSSk+m1p//krfVakFBjgsFOS4cqLxsKGBt7+7Hnw4M1rxu/6AOamFlcG/Z7fvPYuehBnR096Ojux8le8/iD/vOBrTtMutLilkb8YhEMGAlolEpnnY6R3qZPpLZZKVA2L++0z9I0jJtSgqo1y7NgdvlQKvAJqdg4coL9GRq/ckteZu90UitK2tTWw+qzntgtVhwpOYqdh5qCD1H0EnMLHkxYyMekQgGrEQ0KsXLTudobPoykk3u7/ei7HADGpu74M5woHjBZNhsVgDaspTBQZJ/dq6pvRtbd9UqTq/yD36Dx7oqkdv8o/eLiNqSt0jJg9k2lpzQVUM70kpeaGRjwEpEo1I87HSO1qYvvdnkbWU1KC2vDwgOt75Xi1WF2bi/OFdXlvLV0mr09A/AlZqMmdkZmDEpHZt3X9E0alU0WAXMz4Q+sEz5i4RIyYPZ9G74GkklLzTyMWAlolEp1judo7npS082eVtZTdhG+j7f9Qb7UyY4NV9LW2cffv3HUwAAe6IVvX1ewWGk2kQqE7p1dw0Wzhw5WUk296fhggErEY1asdzpHM1NX1qzyf39XpSWK099Ki2vx3f+Zp6h6+rpE2/6r6YwLwt3zJ+E1s5eoTpgvZlQtdfE6GauaGNzfxouGLAS0agWq53O0dz0pTWbXHa4QXXZ3ecD6q+2R71eU86h01fxtc/PHqqvFaFl85c/pdfE6GauaGJzfxpOxP+yiYhGKGmn860FE5A/NTMqy73R3vQlBWeZzsDzOcckYsPawFrZxuYuoXN+0tKNB5fnmnJ9Rvl8g4G2Vgvz3HhuwxI8uX4+1iyeKnQb6TXxen2oqvPgQOVlVNV54PX6htUSO5v703DCDCsRUQzEYtPX/NwsNDS2ofRgPbo/XY5v6+zDlt01sFowFLS6MxxC53NnOHRnKSNBNNAOJn1hmZmdgX0nLgu9Jkq9Z4eDtUtz2NyfhhVmWImIYkBapldiZgasoroR/+v5v+AP++qGglWJ1JWgoroRXq8PE8emqDasB4CBAR/2n7yElORE/Ns3FuPJ9fPx9bsLsHbpNGSkJhm+5jnTtNXuNrV243fvVuPdg+fR36+9PtZqteCWWcpBXNEsN47UXMWLb50ICWyl3rMJBj5ZUx02LJw5DmsWT8X9d03XfyIFmalJWLNkWkTOTRQpFp9PS4OQ4WVgwIumpg7D57HZrMjMTIHH06HrP4JkPr4m8YeviT7hMnVmbPryfz0+PHlZaHNRqiMRtgQLmnU05w/uHSsNQ/C09WDz7hq0a2hbBQz2Wn3pu3fi2JlP8Lt3q9HSof32UvstUV6vD9/fuF8xw5rptMPn8+l6jpQMjlGdjDVLcoa+pIhcT2qyDYmJCQHHpDoSFZ9vs9qlDXf8b1Z8cLlSkCDwLY8lAUREMRTpTV9adq1rDSr9BfeO9Z+AlJRo1bwbf1VhNmw269Dz85PXKlB7oVX49v7tt0SDVpENU5Eqexgco3oOk7JSh4JJkc1yX/psftj3z5GaqzHpfkEUKQxYiYhiLJLjLavPe6JaW2q0d2y4zOiRmquaglV/Ow7W497bpwt1D4iHDVPBz9/83CysXZqDnYfqAwYEBAefwe+fWHW/IIoUBqxERCOY2UvXaoL7lIpkeMfYbbilwI3xmWMCRr+K3l7Nph1V+MqaAtXj4qEnqf/zF65cJCXZhuULJyE3OxOtnb2oqvPIBqKR/CJEFG0MWImIRjAzNj9p5Z+pFFlm7+zpR2H++LDBlRl9TQ+euoIvf26WanZxZnYGUpJtiqNOU5JtSLRZI/pFoLmjR3Zsb0d3P/6wrw5A3dDPguuHiUYiTQHrl7/8ZQwMDFy/sc0Gt9uNxx9/HNnZ2aZfHBERGZM3JTPqzf39M5VGBySYsUzfN+DD9v1ncffSGw2fy2KxYP3yXGwsOWn4XHLSxiTh5T+dEj4+uH4YGJxWVna4AY3NXXBnOEIy10TDjaaAdcKECbjvvvtw0003oaqqCq+88goefPBBfOc738Hvf//7SF0jERHppHcEaTALAJGWMsG9Y40OSDBrmX7noYaAHfjhnK5vVsyuAoMb01LsiaqZWL1cTjvg07e5S6p/fWNPLUrL6wOmlW19r1Zz1wSieKLp61ZNTQ0WLlyIpKQk3HTTTbh48SLmzp2LEdwZi4ho2JOa+6c6EnWfI0EwOxfcO1YakKBEaUCCyO1FdHT343R9s+IxotncqnpPRIJVYPD5a27Xl1VuauvBL98+iR0H60NG60pdE7aVGasHJooVTQHrunXr8NBDD+G73/0uvvjFL+L+++/Ha6+9httvvz1S10dERCZYmOfG+mX6s2sifSrXLp0WUkdpdECCyO1FqQWkwtncCORoXE770JL+mYstus9TXtWo+PvS8nr093vDjpUlimeaSgLuu+8+3HfffWhqakJ6ejoSEhIidV1ERGQyMzKVStyuMWF/Lje+VbQvqHT7V96pMpTZzEixDw00CNfqSXRcbv7UTGz/oE72GFFrFk/FxKwUU1tOqYWdPh+waccpVNY1h4yV5cYtimeaAtbnnnsOf/nLX5CRkQGfzweLxYJXX301UtdGREQmEgnIjPDPUHq9Ppw614T9Jy6ju28AuZPT8czXbsXHl1p19QVdmOeGI8mGn249quvaXE472rp6QyZH+Qdq0mhWaeBAOOuX5yJ/SqYpNawF01xhOyOMzwwf+KuxJ1rR06eeCd934krIz8Jt3CKKJ5oC1iNHjuDtt9+O1LUQEVEEmbUBK5zkpATMmJQOYHBZ+uXtlej1KyM4UvMJtr13BqsKJ+OBZTN13Udrl/5WUkWz3GF39vsHagAUg9XVRdlYmOdGRXWjarCqFtAq1e0WL5iMre/VhtShqlmUlxU2GNXC6OAHokjRVMM6bdo0bN26FQcPHkR5eTnKy8sjdV1ERBQB0vK62eUB3b0D+MFLH+D5N45hY8mJgGDVX2l5A55/45iuGsq0Mdp7yrqcdmxYOwcfnlKu7Xx952nVAQUHTzWiv9+relxqsg1fXJ2veIxS3a7NZsWqQvFWkVL965dWz4LFYJwpDS4gijeaMqwTJ07E1atXcfXq1aGfFRYWmn5RRESkn7Qc33fWg0SLD9MnpgcERwvz3PD6fKb3EvW09QiVGxytvYZv/7//QWfP9b7eajWUFdWNeG3naeFrSUm2YcMX5iB/aqbQ8AGPwCCAprYelB1uUD1Xe3c/nI7EsHW74zIcWL88F/NnjFM8h9R+Krg9lcUCrFw0GfNmZIUtrVhVmK2YJRZxqHowuOcoV4onQgHr3r17sXTpUkyaNCng5xajX+WIiMhU4cZ5BgeDXq8PW3bXxuoSASAgWAWUayjlpj4pefSz+SjIcQEwZ/iApLG5S+i45o4e3FowAfNzs4Y2eY1NS8Yt8yajtaVTqOvC/cW5uPf26ZoGACgFuoV5bhxU6SIAAGWHL6Ds8AVuxKK4onk0K4NUIqL4JBfYBQeDWsadpibb4AMi1nc0WHANpdfrU12C9xeu84BZwwcAwJ3hEDpOuk+r1TK0scpmsyJBY8bSZrNiZdEUTbeRC3SP1F5FeXWjcG0sN2JRPBEKWI8ePYqjR49G+FKIiEYnpVZLWs6hFthJwaBoxnHhzCxUnL6qfqCJpBpKKcgTDa7/6tapmJ3jCvvciXRHyExNAiwW1ZZWxQsmo7S8XvG41GSb7IaqaAkOdCuqG3WXgBjdiGXG+5tIKGAtKioCALzyyiv4zGc+g9mzZ6O6uhp79+6N6MUREY10Ikv4IkQCOykYFM04xmrzjX9A3dTeLXSbG7LGhG0RBYh1R3hwxWDnAqVj1i/Phc1mVT1Xe3c/jtRcjZuspNYsdbDgLxFamPX+JhLqElBUVISioiJ4PB6sX78ec+fOxd/8zd/gyhVj7TOIiEYzaQk/ONCUlmIrqtXrDSWiWdPmjh6hcadORyLauvqE799M/gF1e4fYNagdJ9cdYbCLwGykJCeib8CLtUtzwh7jvyw+PzcLKcnK+Z7Nu2riZnqUlhIQOXrqgM18fxNpqmEtKirCY489htzcXFRVVWHFihWRui4iorhj5tKmliV8kfsQzZq2frobXi1LeOvs8dh5qEHonGYK7k/6SatYhtU5Jkn19VmY5w7YBJWRYkdbVx+27A7MAGakJmHt0mlwu8aEPc/p+mbVml4jWUmzmbHpTGsdsNnvbyJNAevf//3fw+Px4MKFC/jKV76CtLS0SF0XEVFcMXtpU8sSvkjQIzrFaktZLUrL6/Hg8lzFcakpyYmaA1aX046iWW58eKpRd0bPvz+p1+vDBycuCd3uanOX4hQrif8mqMG6ztCgvbm9FyV7z2HFosmYn5sV+nsN2ex4YHTTmdKQAzlmv7+JNAWsv/3tb/HWW28hNTWVo1mJaNQQ3X2vhWgwI9oTU8sUK//rfm7DkrBZSa/Xp75RyWnHVz43C61dvQG3vff26fjOi/vQrlBSYLEgYLd6uN39v3z7JDq6B8LcOlByUgJK9p5VfJzBr49IBnDnoQbsPNQQEviKBoAixxnJ2ove1uhIXqUhB3KGW1CvhJvG4oOmgPWPf/wjtm3bBptNczcsIqJhKVJLm6JBj5aemFKdZnDWVO26w2W4rFYLbpnlVmxCf8ss91CvU3+1F1oUg1VgMFhdVzwDaalJYYOAbWU1Qj1DpXMpCff6aKnrDA58RQJAkaxkuKx9ekoi5uS4YE+yKfZd1ZLxF/kys7ooOyQzHu5LhCgzg/pY4qax+KEp8rzppptw4MAB5OTkDPVjnThxYkQujIgokkSzJmYvbUr362nrQaojUTWwk4hmc6U6zbLDDaqBdlNbD3Ydqg8bNHq9PtVxpgdPNeK+O2eEPG+iWbO01CTcWjAh5Of9/V6UlotPa+rpU87Chnt99GT2/ANftQAwXFbS6/Xho9pPUH+pBZc+aUfJ3nMht2vp6MO+E9c3NG99rxarCrOHBgIA+jL+cl9m/IPS++6cYVom0aygPpYisbJC+mkKWDs7O/GnP/0p4GfPPPOMqRdERBRpWrImZi5thrtfrUSyuVarBempYpmrLWXXJ16lOhLxyKqZKMwfbyhQN5pdKzvcINzcXlTw66Mns+f/eEUCQH8V1Y3YvKsGTRpfe58PQ1nu+4tzdWf8vV4fUpIT8dd33oj2jj44xyQh0xkYlPrX9xqlN6iPF9w0Fn80BazPPPMM9uzZg8uXL2POnDmYNm1ahC6LiCgytGZNzFra1DNeNBwpaJqZnaGYDctITdJ87vauPmwsOYmzRa2YMsEpdJtwgbrR7Jro+FMtgl8fvXWd/o83XNeBcFlJM1770vJ63Hv7dNReaNH8RULpC1okgy2tQX084aax+KMpYP3Rj36EadOmYdeuXXC73fj3f/93vPzyy5G6NiIiU+nJmpixtClyv84xiViUn4X3Dl9UPA4AjtRcxa+2VypmiPOmZGJsejKutYi1hfK342A97r5tmtCx4QJ1o9k10fGnoiwWYMak9KF/S2UZi/KyNHdCCH68cllJ6T6a2ruxdVdtyO+18vkGM89pgl9EpMA61svaokF9vBlJm8ZGCqHBAZKGhgZ87Wtfg91uR3FxMbq7tf+HkIgoVrRkTSRS8KUkOPjyen2oqvPgQOVlVNV5UHXeo3q/bZ19GJ8xRv1BYHD3ulozdqvVgq+vvUnofGHvQ6CG1OW0Y8ak9IDHKjXLV2rULwVJwc+TdNviBZNhMTGe8fkGN4IBgwHc9zfux7Obj+hq2yVSc+l/H7/+4ynTBjA0NndpyviLfkGL9IADKai/tWAC8qdmxn2wCoycTWMjiaYM6w033IBf/vKXaGlpwZYtWzBp0qRIXRcRken0Zk20LG2GW35Vm4okSU1JVM3mBreDCiZliAFgydyJeOK+ufhdabXmpe+uXvV2UkWz3PjBSx/IZnqVsmtqdcSrCrMVOxRo1dzRY3hpXqTm0qzSj3DcGQ5NGX8ua+s3EjaNjTSaAtZ//dd/RVlZGdasWYPMzExuuCKiYcVI1kRkaVMuWFGbiiRxpSarLqWrbUaSApA508cCAArz3Zh349ih625t7w3YaKWHxQKslAkog5eawy2ZiyxTS7viS8vrTdmAleZIwst/PqXrtqI1lyIZTb0slsHMs5ZyCy5r6zfcN42NRJoC1hMnTuDtt99Ge3s7KisrMXXqVOTn50fq2oiITGU0a+IffPX3e7HrUD0am7vgznDgzpsnGQpWXH47tuWyuQsFay6DAxD/6/Z6fdj+QZ1wO61wfD5g/0eXFY95fefpsDuotdQR31+ci3tvn46yww1Dz/PtcyfiBy99oGmZ3eW0Axbo6s6wrngGli/KFgpMtPR21WpVYfZQP9ahjP/OGnja5euYuaxtzHDeNDYSaQpYn3rqKfznf/4nxo8fj8uXL+N//a//ha1bt0bq2oiITGVW1mRbWU1I5s9o1tL/fuWyuafrm4UC1tb2Xnxw4jKyb0jHxMzkgN9ZrRY8smomNpacNHS9agGjp70X2/efw91LcwJ+rnWZ2mazYmXRFACDmdkfvfyh5prQ9ctz0drZq+k2krTUJOEsWiQylRYLQvqwAsCZCy0BwSowGJCfudAyFEhxWdu44bppbCTSFLBOmjQJycmD//FLSUlBZiZrXohoeDGaNdlWVmOotjIl2RZQIiB3v+GW0kUCEIslMHgOd/7C/PE4W9Rqao1oOCV7z2JSVkrAfYsGdUdqrgY8fr21oSsWTcbCPDeq6jyabwtoyz6amamcOsGJxQXjw066UnoP7jhYj6bWHnz97tlc1jaJmf1pST9NAWtbWxseeughjB07FpcvX0ZqaioeeeQRWCwWvPrqq5G6RiIiU+nNmmidwBTOhi/MGaov1JqtEQlAgus9m2TaF91fnIucien4XWl1QMYy02lHb9+AYt2t05EonOUMbhMmGtTtPNSAmdkZQ90E9JZbSBvQ9PRdtViAti7xzKzIfSQlWtHb51U9l9UCTBnvDHlviLwHD1Y1orreg4dX5nFZm0YMoYD16NGj+MlPfoLf/va3KCkpwauvvorx48fjwQcfxOrVqyN9jUREptOTNTE6gcnltCN/aia8Xh/KDjegtqEF56+0yc6LDzc+VgpAXnmnSngzFwD8evspXG3uwvKF12shC/PdWDgzNHA/UnNVMSheMmc8SsvFWkIF70LXEjhKwa6R2tCWzuu3u2PeRJTsPSt8W58P2FhyEtZ7LEIbrkR6u/71nbnYvLNa9b7PXmrDs5uPhNSlir4HWzr6Ar6ocFmbhjuhgPWFF17Ayy+/DJvNhhdeeAH//d//DZfLhS9/+csMWIlo1DA6gWn98ly8sac2pP5Vbl68XNsnQLzzgKSnbwDb3juD3+85E3BfchvJbpszHifONqGl43om1eW044FlM7Blt7Z6XakMoLd3AFvfq0FKsk0oAJWCXSO1oa+/WwOrxYotu/WPxPVvFSbaoiu4/ZjLacdDq/JwZ+FUoYBVEtx1Qet70D/DzWVtGs6ESwJSUlJw+PBhZGdnIytr8A+3s7MzYhdGRBRvRCcwOewJ6Oq53sdUWn49c6ElbO1h8Lx4tbZPon1dwwm+L0m4jWQWAPnZGVh68w1wpSYL9/YMlpFix/NvHMPR2muar1cKDvVq6+rDxhL5bPFtcyZg3wnljgdNbT3Yvv8s3j92KeQLxC2z3LKvKTBYQzs/NwszszOQlJSA6nNNuh6HFHiOS09WPzjo2tlnlUYCof/qTZkyBb/4xS/w/vvv49FHH0V7eztef/11trQiolGleMFkbH2vVnFJ1mIB/v3xpfj4UmtAJs7r9eE/FQInYLDn6NqlN6rWa2rNrsrd1723T4fNZpXdxOMDUFXfjI8vteBzt05Fc0cPLn7Soel+XE47Sg/W4dgZfYGa9PxprT8VdbT2E6HjSvaeC/mZp61HdeNaRfVVPFB8fWNTU6u+CZFNbT14e99Z/OXYJc23PXHuGksAaNgTClh//OMf48MPP8Rtt92Gm266CWfOnIHdbsc//dM/Rfr6iIjihs1mVZ3AtKowG0lJCSEZrV2H1Bvg+3zA1vf0L11rIc2mL14wWXUTT2+/L2zAJuK2ORPwxw/qdN1WGv0qUhuqlxnBv5LgDKcrTVuG1N/b+87put2fPziP949cxKOfzecmKxq2hALWhIQELFmyZOjf06dPx/Tp0yN2UURE8UpuApNcv0yJaO3hFY+xOlktGpu7DG8kU6M3WAXCj35VG02rxxh7Ajp71EfR6uVfg1tw41i4nHY0ReFLib+O7v6w3SKIhgv9hVBERKNUuAlMd948CR9fasWBysthd2GL1r+Oz3Sg8py+nqFauTMchjeSRYLLaUeRQG1oc3sPyquuGr4/bwQDdiCwlVeC1YKHVuXhhTeOR/ZOZbzutwkrXBcKlg1QvGLASkSkg81mxfJF2Thd34wjNVfx/Y37Q/qZ+rcjEq1/feCuXBytvWaoLGD+zLE4clp5g5M0m77ssPnL7HpMG5+KlbdMQUbKYBnAD176QPH4iuqreHbDEnxtjQ//9aeT+PDUVeiNO7t7I5ddDTdJqjDfjZtnjNW1Cc0oz6clCh3dfbJdKJiBpXgU2viPiGiY8np9qKrz4EDlZVTVeeCNYOqsoroR39+4H89uPoKdhxpCGulLO/orqhsBXK9/VSLVv0qtq/RasXAKPrt4quIxSTYrjp35BMULJsMSB0k1T1s3ivLHI39qJmovtAiPb33zf87gwyr9wWqkhZsk1d/vxbEz0Q9WJVKf3eDnOPg9SxRPmGElohFBqW+p2RkjLWNC/ftgSvWt4Za6Vxddr3+Vm06UmZqE3n6v4kYhKaM3Z/pYOOw2vLXnTNhgrqfPO1TTqLaRLBpaOvuHNieJ9l3dcfA8jscw8FOiNElKZAOeVs4xiWjrFJs+9sHJK4q/D55ORhQPGLAS0bCn1rfUzI0mWseEBu8Snz4pHZmpjfC0+weidkyflB5wO7npRGpTqPwzel/8q9koKz+P5g75QGbzrho8u2FwU23pwfqYZiqlQDXNkSR0/EdxGKzaE6144q/nIn9KpmzAF4m64YdX5mHzrtNoblceJSsyVpe9W69jnW/8YMBKRMOaSABpZsZIT+N8KRCTDazbwwfW4aYTaZkNX/nxNcVgFbgenEgbyTbtOIUDlVcwoD7u3nQZKfahTLkaR1ICuiJYe6pXT58XVotF8b0mugFPhP/rbrVANfN/6+zxQu3BjEwXCzZcg75ortqQOgasRDSsiQSQZmaM9HyQZ6TYTQ2sg7OvaWOSAB/Q2tWLqjrP0CYf0Sb10mOy2az4yprZSEq04b0jF4RuaxaX0646lcrfjRPTcDJK3RS0UnuPLF+Ujc27a5Q34AFIS0kMOxrX6UgKG/xJX2ZeeacqpGwk1ZGIL63OQ0pyolDAamS6mL/hGvRFc9WGxDBgJaJhTTSANCtjpPWDXKopNTuwlrKvFdWNePlPp0ICgodX5eGGLKfQNQY/pvGZ5mUAASAl2YbPzL1BsU72gWUzsGW3emY1MzUJD66YicpzTXEbsKq9R4QGUBRl4747Z2jOTEpfZqrqPKiq9wA+IH9q5lCJgtfrU50aFq6zgR7DNeiL9qoNiWGXACIa1kQDSLMyRtKYUFFSTWkkAmspIAi32/uFN46jpb0HLpVr9Q9OpC4LqY5E4WsQ8VeLp2LKBCfWLp2GjNTA+lSX047H75kDpyNJqNTiK2sKsDDPjekT01WPjQXRYO/+4lysLsoO6dBgsVzfgCd9Kbm1YALyp8rXxAazWi0oyHHh3tun4947pqNgmmvotlarRbULRbjOBlqJBn2R7OShl5YvlxQ9zLAS0bAmMmferIwRcP0DX61WMLim1OzAWiQgePmPJ/Hgipn4/978SPYYKTgJt3Rrlm3vnRn6/5lOO9YuzYHb5QjIGh6ovCx0rtbOwU1FRkacRtIDywKDPf/6zbFpybglfczQ78INoCheMBk2W2RzSVrqoPWKdqmOmUS/NFaeaxo29bgjAQNWIhrWRAJIMzJG/uQ+8J2ORNw6ezzm52aFfJCZHViLBASfNHfBOSZRNTjR0qbLKE9bD0r2nsXj98wJCFS0BvQiz6e/MXYbOnvk24GZJSX5+sdquC8BY/9YiQdXzMT8GeMADJYHrCyaEvHrCibXhcKsv5Nol+qYSfS9uP2DOuw7cTnu63FHCgasRDTsRSNjBITudv63byxG7YUWoQ98swNr4YCgvReF+fJ1jSKZWnuiFZPHjcGZS+1C9ykiuAZQa0Av8nyuXToNbtcYZKTYUV51Be8duSh8ffbEBCzKy8K+E2KZX8mpcx4UTHPJfgm41tKNF944HlK/GYud9OG6UJgl2qU6ZtLyZSje63FHEgasRDQiRDpjpLTb+daCCcLXaFZgLRwQfFozeqTmasD9bv+gDplOO+6Yd4PqB3NPn9fUYBUIXQ7WE9BreT7PX2nTdH09fQPYd+Iy7IlW9PSJ9/jaXVGPKROcqhvI/AP24bqTXkm0S3XMJFr244+bsCLP4vOZPW8jfgwMeNHU1GH4PDabFZmZKfB4OtDfH4PmhBSCr0n8GcmvidqSudbsihnZNK/Xh+9v3K8YEIzLcOCnjy1B+akrUVvy1+LrdxeEBPtywdsd8yaG1L1K5J7P/n7vUH2oK82O/37/Y80TpiLZ7/XJ9fPR0d1n6ntLVDQyumb/3ZhN7b9ZWuu6n1w/P+7qcYcDlysFCQnqddvMsBLRiGL2B3EkWtyYsRQrkgX62hfmAICmyVzRJGWJ/QNLd4YDz3ztVnx8qRXNHT1obOrEnqMXUbL37NDtgrOP/s+n9PrvOFiH42eaDF9jV+8AkhOt6NaQZRXlaevBG++fUTwmEpm7SGR0w/3dRatUJ1KkVZuSvR9j+/461ePjsR53JGHASkQjRiQ+iEV3O1fVeYbaV0WrBlFp89cXP5ePJXMnYv+R+ojs/DdKWg7eVlaD0vL6gMzn1vdqsaowG9MnpaNk77mQ2wbXDUrB0pGaqzhw8orq6FGtPjNvolCzfa3aOnujvpM+Er1R1f7uIlmqE2lWqwUFU11CAWs81uOOJAxYiWhEiFSTctGsycY/nAiYLhStGsSFeW54fcDvSquHArW2rj5sfvc00lKTVWfLx8oDy2bgjT21YZvn+3zAjoP1sCcpb5LavKsGXh+wZbf2dlz33zkdNRdacKTmE9Vjpa4PZrb9cjntGDNG7CO4qV1sYpmaSKwWiP7dDeel8uFcjzuScHAAEQ17kWxSLpo1CR6FKX1gV1Q3ar5PLSqqG7Gx5ERIVrGprQfPbCrH5abOiN5/OHOnu1SP2bIrfLDqr0eldrSprQcbS0IHJ4iwWi14/J6bVIdASIHIwjw3ntuwBE+un4+bZ4zVfH/B1i/PRWenWJut9g5zMsZmN8SP1N+dNMDiQOVlVNV5Yj5cIFrDFkgZA1YiGvYiOZlG62SrYJGc5iMSMLx78DySkxIUj0mxJxh6jBKX044Na2ejvlF9s6unPbZlCo3NXZoDEalWdvnCbN33Oy7DgSfum4uFeW44xySp3wAQPk6N2b1RI/F3V1HdiO9v3I9nNx/BL9+uxLObj+D7G/dH/IufGqn8JvjvRJrUFu/1uCMBSwKIaNiLZJNyPS1u/EVymo9IwBCc+Q3HYrVi3bJcbCzR/hidjkSsW5aLzE8zkSLXFA/cGY6h/5+SbAt5nlIdifjS6rywgUj+1Mywt1FSvGASbikYj1vmTUZrSyf6+73CXxLaOnvh9foMZ/DM7o1q9t9dpMp6zDLc63GHO2ZYiWjYi3STcrnsiv9UIyVm7x7u7/fi3YPn8fqu06acr72rD07H4EQsu0o2NtgXV+dh8Zzrs+6Hw05piwUoXjB5KEAKF3i2d/XhzIWWgJ/5P+83fzqpStSiPDdmTXMhIcz0MzVbymp1ZRmDl9ZnTEoXLoEQYebfXSTLeswkZdlvLbj+nqfoYIaViIa9aGyKCJdd8fp8+OmWo6q3bTRYR+rfMujo6U9QXt2ouZ+omuaOHtxaMAHzc7Pw0tsnUF51VfF4udZEw2Gn9KrCbFitFtUAacfBeuRMTENh/viw3QwsAGwJQJ9Km1a5956W7L3WLKPczv1bZrkVa4e11GKa+XenpbxgOG/gIv0YsBLRsGf22FOl+/H/sPR6fUIjHEv2nsOkrFRdy5lam5frJQWaVqsFG9behK8F9Ua98+ZJQ71RpaVQr9eHdw+eHzqmeMFkU1tKrS7KRsPVDpw4a7yfKjCYWV1VmI37i3NRVecRek5/V3oaH19oQWl5aFsrHwaD1RmT0lB7oVX2HErvPbnWZHJEdvErLa3vOFiP1UXZ+PBUo+HeqGb+3UWyrIdGBgasRBT3RIYBLMxzY8Pa2fht6Wm0+wVNZjUpl7sG0QyZngbwapOCzBIuC2azWbGyaErAz/yD9XAZxy1ltZpLCpKTEtAd1A1ACizvu3MGXttZrel84UzOSsHSm25A8YLJsNkGK+FEA5+2rr6wwaq/Mxdb8c27Z2Pre7WKQaDX68NHtZ+g/lILnI7EofeQlL3fdageW8pqFe9LLcsosrR+8FQj/u0bi1F7ocVwLaZZwwEiXdZDwx8DViKKa6LDACqqG7Fld21AsOp0JOKBZcaDVbVrWLs0J2ASUzhalzNFAg+zaM0+byurkV1WVmtFFewrfzUL86aPC8nm7jh4Hv/r+b9o2tgk58HlM0OedzMDH58PaG7vwXMblsh+saqobsTmXTVoknkPWa0WpKWKdQNQCrZFl9ZrL7SYtrRuxmYk9jolNdx0RURxS8owBn+IBfc4lTuurasPG0uM9UIVuQa3yyFz60BaljOjsdteT0ue/n4vSsuV+6eKyExNwtql09A34EXthRYsX5SNh1fmYWx6Mr77n/tQsvesKcGqxYKwZQozszPgdCQaPr9EapMVbkOO9B5qUnkfm5FljNXSutHNSOx1SmqYYSWiuCS6a3je9HGmT+/Reg1/+7lZQufTktWLVK1eclICHlmZN9SGSutzUna4wfCGr9vmTEBlnSdg7KrIhiA9fD5gY8kJWIMCc6vVgodX5am28hpjt6GzRz1w9m+T5U/LdCkzsozDeWndrPICGpkYsBJRXBJd2iw73BCx3cWi1wALTF/OTHOY0yw+2Ff+apahD/7G5i5D95+SbMO+E5dDfi5tCIqUcF9aCvPd+GDGWBytvSZ7O1e6HZ2NygGr1CYrHK27341uYhruS+vsdUpyWBJARHFJNMMoGkDpyViK3qa1s9fU5cyK6ka8/OdTQseKSkm2Ye3SaZifm2XoPHKZRFFmLPPrEW7iktfrQ92VdsXbNQhM7VpVmD20mSuY1iV6oxOVRsLSOnudUjjMsBJRXBJdshQNoPQsgWpZXs2fmmnKcmakOgN0dPejZO857DzUgBWLsrFmyTRdgUDxgsnY+l6t6X1goyE4eDRaJ+zfJkuOniV6vVlGqZNF34AXa5dOw56jF9Hc3jv0ey6t03DGgJWI4pLo0mbxgskoLa+PyBKo1uVVo8uZWjoD5GWnY+K4VHxw8nJIWyglg4HrWew8VI8vrs6H05Go6VptNitWFWZHdPk+UoKDxyM1ysMRwrEAuOPmGzDBlRLQJkuO3iX64J6/auQ6WaxdmgO3y8GldRr2WBJARHHJarXgllnKmaCiWW7YbNaILYHqWV41spypJeN3tbkbD62YiS9/Ll/4/P46uvuxseQEnt18BL98uxLPbj4iPP7z/uJcrCoMX7MZr4KDQq/XhwMnr2g+jw/ABFcKVhZNUQ1Wgegs0St1sijZexaJCVYurdOwx4CViOKS1+vDh6eUg6eDpxrh9foM1/0pieS5g2nJ+Ek1mU4TN2cFt1lS8jd35eLzS6aZdt+RFhwUnq5v1j2VS+vGM+k95FJ4D3m9PlTVeXCg8jKq6jzwesVqLkS7EIiejyhesSSAiOKS1t3VkdxdHI2dy16vDx9ozPhFqvXV5l01uClnLPYcvYDG5i6MS0/G5HGpaO/pQ0aKHW1dfdiyO/LjYvVISbYFbOySq9s08tyNS08O+ZnaNLaFeW4UzhqPi55u1F1sRktbD5xjkpCSnIjyqivYsrtWdjCFEq1/J0TDFQNWIopLehqga6370yKS5/Z6fdh1qD5gSpeIi590IDXZvOb3kqa2Hmz4+fvQk5NLslnR2+/VfDuLBfj8kml4e985Hfd6PTD1/2KR5kgCLINdHKrqPAFBpJE+pDvLG5CV4RgKJkWnsVmtFrR19uL3ZbUhQwSCSdlutSx+rAYFEEUbA1YiikvDuQG6FuGCHVHb99cBGAz2zN61r/d0eoJVYPD6Z05W36Dkb13xDKSlJoVkNPOnZg61BpMLImdmZ4RkY0V52q8HkwDCdnUIF3CWVzXihTeOa7ovtaEXo+XvhIg1rEQUl6Td1UrioQF6f78X7x48j9+9W413D55Hv4aATW6zjFbDscVUOK1d6v1s/aWlJoXd3CYyTtdqtWDFomxD1/v6rhq8tvO04jFS/ajX68NrpdWa7yNc/1h/w+XvhMioqGVYKysr8bOf/Qy//vWv8dRTTyExMRHp6en41re+hU2bNqGurg5dXV146qmncPToUbz55psYGBjAE088gSlTpkTrMokoTki7q41M/TFTuBrFN/bUorS8PiBg3PperWpvTul8oi2sRAVnWp1jktDXP6Cp7VUsNTZ14e6lOVi7dFrA2FY54bKGWkahrlkyDTsP1eseZiDyRcM/4FQrA5CjtJwfb38nRJESlYC1vr4ee/bsgc1mw4EDBzBt2jQ8+uij+Md//EdcunQJFRUVeP755/HWW29hz549KCkpwQsvvIDLly/jN7/5DX784x/rvm+RtiNqEhKsAf9LscfXJP5E4jW5ZfYEWBOseK20OuDD3pVmx0Mr81CYH50G6OVVjSHXkJyUEDYQ9PmAHQfrYUmwYv2yXHi9PlSf96C5vRcZqUnImzKYDTx1rsn0TUs+H/Dg8lykp9rhSk9G4ZyJaGvtwi//8BH+cjx0HGq8+Z/jF7H29hux9vbpeP/YJeXepWl2FOS4QgIxkee1qa0HZy62YNY0F/52TYHmZXqt2rr64DWQBh+blqz4WRYvfyfDDT9HhpeoBKzZ2dl47LHH8Nhjj+GTTz7B+PHjAQBZWVloaGjA2LFjAQButxtnz56FxWJBQkIC3G43GhvV26vIsVotyMxMMeUxAEBamrGRhGQ+vibxx+zXZOXiHCy7ZRoqP76GptZuuNKSUXDjWCREKWO0//jFsAGNWtay9EAd5tw4Dv+1/SSutXQP/XxsejK+vvYmnKxrNvtSAQATx6fhDr+59hkZY/DdR4pw+P/8GR1dkR+L6hyThLbOXvUDw2hq7cFFTzdumjEO37x3Lp7ZVC577DfumYuxY1NDfr7rv8WCzz7f4OfDysU5SE2x45clHwW8TmkpSWjt0Pc4grV09WP73o913XZchgO3zJus+n6P9d/JcMbPkeEh6puubrjhBlRWVgIAGhsbkZOTg5aWlqF/u91uJCYmwuv1Dv1bL6/Xh9bWTsPXnJBgRVqaA62tXRgY0LehgMzF1yT+RPo1mTzWgcljBz9YWluM/12L8Hp9eOlNfdk3rw947rWKkJ9fa+lWDMSMSrT44PF0BLwefX0DsCA6gcujnw4yeOVPp3T1Oa2/1ILJYx2YlZ2OJ+6bK5s1nJWdDo+nI+C2m3fXoFyld69Eep4AYFZ2On72+G0BmfDcyRn43ov7dC/jS1IdNrxeWqX79gtnjsOHxxqGMvNqYvF3MlzxcyQ+pKU5hLLcUQ9YFy5ciLfffhtPP/00pkyZgnHjxmHu3Ll4+umn0dnZiaeffhpOpxM/+tGP0NXVhSeffNLQ/WnZAKFmYMBr6vnIOL4m8WckvSZVdR7DAUs0pSbbMH1iesDzPzDgReXZJs0ts/RISbah/nIbxmUmY3ZOJg5Ual8hczoSh65//oxxmHfjWJyub8YnbV04e6EVgAVXmzrR3d0fsEze3+/FjgN1QveR6bSHPE8AkDs5I+Df61VqQ0X09Or7W5DqkUsP1qP0YL1wX1bSbiT9N2sks/h8I2V/aaiBAS+amjrUD1Rhs1mRmZkCj6eDb+o4wdck/ozE1+RA5WX88u3KWF/GkJtnjMXR2muKx0htlPxfj73HL5r6OFKTbWjXuVFJzS++cweSkhICfratrCZkc5vFgoDNbe8ePI8tZbVC97F2aQ7uXpoDAOjtHcDW92pwxdOF8ZkOPHBXbsD9v733LEr2njX4qJQ5HYl4eFUenI5EHKm5ip2HGmSPNXu62mg2Ev+bNRy5XClCGVZWGhMRyYiX3pUWC7C6KBvfuncuUpKVF8bCjeE043HcMW8Cvn53Ab73wM26e7SK2HP0QsC/t5XVYMfB+pDWXdLmtv8s+Qj9/V5UK7R+CuZ2DS6ZP//GMXzz5+/jvSMXUXnOg/eOXMQ3f/4+nn/j2NCxa5ZMQ0aqeeNvw1m3LBeF+YO9YQ9VK4/nNWPMqt4xsESxxMEBREQypB6XsRxBOsZuw88fvw1JSQmoqvOotmCS2ijNmT526GczJqUj1ZFoqCwgISEBtxZMwNt7P9bdBkpEY3PX0P/v7/eitLxe8fhDVVdxqGqPpvvISLHj+TeOyWarj9Zew/NvHMO375sHq9WCdcW5+MXbJzXdhxZSH9VojFkVncpFFG+YYSUikiH1uNTCYgFWFWWrNnMX1dnTj48vtQLQN4azvKoRP3jpA8M1rO4MB7xen+JytRncGdd3bJcdbjB9KEJGSiKmjXeqllYcrb2G3k87QTS3R+4Li39T/0iPWRUZqEAUr5hhJSJSsDDPjcfvmROSlZJm18+bPg5lhxvQ2NwFd4YDxQsmw2azYsakdMMbdiRSgKJ1DKdcSy6tLBageMFknK5vjmh2VbofiX+21SwPrczD798Xq3Xd+l4NHlmVH5HrkPg39Y/kmFUtAxU4ZIDiEQNWIiIVC/PcmJ+bFTLpSvpgX1kUOo1PLdAFgE07qoUyn1KAIlKiIGXs+vu9eNGvFtOIlYXZsNmsujN7olZ9ej8S/2yrUcmJVnxlTQEW5rnx3pEL6jcAcMXTZfg6VhVlY8akdNn3gf8yvJbXV6tolBsQRRIDViIiAVarJeCDXNq40tzRg7QxSYAPaO3qDQhm1QLdedPH4bsv7lPsV+ock4gZk9KHrkFkDOeRmqt4dUe1rj6o4dw4MQ1AZDehrS4KHWdbvGAytr5Xa6gsYMakNNy9JCdgKtb4TAcqz3lUbzs+02H4Og6easSMSel4bsMSnLnYgj6fBYkWH6ZPTA/JZIq8vkWz3LoyoJEuNyCKNAasREQahdu44s9/E0twoOvPZrPii6vzFAOUts4+/OClD4bOJ5K5NasUQfK70tNYONMdsU1oX/2rWVhy0w0hP7fZrFhVmI0dB5U3XimZk+MK2IAGAA/clYv3jlxUve3f3DFj6EvJorwslFfJ7+CfO30sjp8JrYuV6kMfv2cObpk9QbWN0sI8N1YXyT/mHQfrMX1SuuYNUpEsNyCKBgasREQaSBtXlPgHKVJg4fX6wmZa5QJQpfPJZW4B4Psb95v6eAGgratvaKlYLQOox66Keiz6tHds8GO6vzgXPgw20NejZO85TMpKDQjwkpISVHvaTpuQih+9/GHAa2JPSkBP0Ehei2WwZOKgyoStzbtqUDhrfMjPg98XMyal40OBc2mtNY1kuQFRNDBgJSISJLJxxZ8UWBypuarYSmhhnhvzpo/Dd17cp1jT6h+ohMvcVtV5ItaC60jNVeRPzRQKsLU6d7kd3/z5+7AlWNA/cH3dPSM1CXfMuwGJNivmzxiLIyo7++WEC/C+fd88xdZW5y63h/xMClZvmzMB9qSEoU12tRdaVAPqprYeVJ/3YMnY1KGfhcvUOx2JqqUcTW092HWoHmmpSSFlJnJEy0m44YriFQNWIiJBIhtX/DW19WD7/nNhJyUFZ01rL7SobsBS2xQTyfrDnYcaMDM7IyDDu+tQvfB0KRH+wSoANLf34g/7xMatKpF73r593zx8UHkZv9I4BexUnQfPblgyFNwJ14e29w79f7lMvWjdsf/zLtpHVa2chH1YKZ4xYCUiEqQnIHznQ+WAS8r+iZ678lxT2A1cQOTrD4MzvMsXZaO0vD4mgxUWzhyHxMQEdPf0q/ZUBcK/dl6vD2+8d0bzfQcHwKLPe0t7Dwa8Ps2ZejXhSlDkqG0EJIpXDFiJiATpCQh7+pRnlEvBj+i5t39wPQAOzqyJ1Ck6khLw0IqZ+KSlCyV7zwndZ/C1SoGayDJzpBw+/YmmEbHhnl+tGXN//gGw6Ga013fVoLS8HnfMuyEiQb5obavSRkCieMVJV0REgqTAxGzNHT26zh08oUhkMtfffroj/+6lN+Lxe+Zovs9rLd0B/5aWmSPxvCjREqzKbSYyUkLhHwBrmYh2raUbb/5PaImIGaQvFEQjETOsRDQq9fd7w06oUhKpjGLamCRD53595+mhzJoUQG7eVYMmlTpF/+XhyrombN+vXi/68p9PoeJ0I75171xUnfegqs4DWIAvr86HNcGC1s5epDmSAAvQ0t6L35ZWoVslyxxpcpuJ9JZQhAuAI7EZzZ6YgJ6+AfUD/bCPKo1UDFiJaNTZVja4NOvfCH7re7VYVRjavD7Y/NwspCTbTB1R+uvtlXhoxUzVHpxyPO292L7/HO5emgNgMHgqnDUeFz3dqL/UAqcjUbZOUVoenpmdgX0fXRYKto7WXsM3froHA17/PGcdUpJtePSz+SjIcQEA3t57NqbBqtpmIr19ZQvzwy+7S90eNu8+LdTnVY0UrKYk23DzjHHYd+Ky6m3YR5VGKpYEENGosq2sBjsO1odMLfL5BpuybytT3gxzur7Z1GAVGNw9/uJbJ1BedUW1B6eckr1nh0oDgMFA9KYZ43BLwWDvz4NVV1BV54HXG34xXcuyNoCgYHVQR3f/UImC1+vDzkP6G/4bUbxgEp5cPx/PblgSNliVppQdrLqCO+aFDixQ8+6hBpRXhb5OFdWN+MFLH5gSrPrr6O7HvhOXkZKsnGNiH1UayZhhJaJRo7/fi9Jy5SCqtLwe994+XbY8IJJLrr8rPW1onGrwppv9xy/ipTePB5QGyLVA6u/34mpzV0gvVD1e33kaDru5WWgtFuW5ZTcVhet9mpJsgw9Ap+D1+nzAxpITsPrtyhcZKBFs7dJpeP/YJeEMr8WivJmKfVRpJGPASkSjgtfrw+bdp1Xnwft8QNnhBqwsmhL295FccjUSrAKBu/jLqxrxwhvHQ46RNmptWDsbTkcSmjt6cOT0VcWxo1p52nsHa1sFWC1AXnYmTp0XO16NUpZRLqjUG1hLXxAAaG5T5XLasWZJDtYsyRGuIW7v6gsb5LKPKo0GDFiJaMQLl1VTcuJsk2zAqrfuMVo8bT2oPNeE/9qu3Az/F384qRq8GyKY6Lv7tmmYaWLAKpdlNLv3KRC4K1/r+8H/OvOnZgpn7t2uMXhuwxL2UaVRhwErEY1oepZqq+ub0ds7gKSkhJDfRbr3aHJSArp7te0M97d5d43qxCwAkQ1WAeRnZ2KfU3kTV6ojEWuWDG4UM/olINWRiC+tzpPNMhrpuapET4nIqqLskOsUzdxnpNjZR5VGJW66IqIRS29Wra/fi2/+/H3ZDVhSCyO1TTB6+AxGkiLBaqRlpiYhf2qm6iauR1bl4XR9s+7NT8Bg/enapdPwH08sVVwSj1TtcUaKXXOZyM2flhH4E+nDy01VNJoxw0pEI5bRrJrUXipcq6v5uVl4fVeN6RuLevq8uPu2afjL8cA6xVRHIvr6B1QnZ8WDB1fMDOgJ+8o7VSHPkz3Rild3BP5cS3Z5zZKpKJjqEl4Oj0TtsX8AqSVD/Ms/nMCDn7Yxk4hk7rmpikYzZliJaMQyI6u242A99n90KaQllGgwfNf8iSheMAnrimfgc7dkC92n1+vDcxuW4Mn18/H1uwuwduk0tHf1xX2wak+0Yu3SaUMbkSThgvqePm/Iz7WUQkwcl4L8qZnCAZxIBjMzNQkb1s4WntolBZBaW4J5Pm1j5t+GDJCfGuZy2vG4X0cCotGIGVYiGrHMyqr9+k+nAAS2hBINhnOzM3BrwQQAwJv/c0bsDi3XG/p7vT58f+N+XdcdbT19XpTsPYf3j13Cg8tzMT83C6/tPB2R+2ps6tR0vEgGs7ffC6vFErCpqbGpC+8fu6i6K1/PpKvgNmTSeaTpY9xURXQdA1YiGrHM3tEvtYR6/J45mjbJSPKzM7Ed6uNP87Ovb6iJ1GahSJKep6J8N5rbeyNyHyV7z2FSVqqmrKNSiQJwffBBcDZzzZJpQgGkf7B58tw1/OmD84rX49+GzF+8bKryen0MnCluMGAlohErUjv6N++qwb9+7VZYLMq77S0WYMak9KF/50/NVB3ragHQ0XP997GaDW+xAPOmj8XR2mu6z3EwzDQoM4XLUCrxen1wJKl/7AWfV0sAKR0r+rrF6vVVE64VnNzQCaJoYA0rEY1oSnWBX/98ga5zNrX1YM/RC0JDCGovtAz922q14NHP5ivfBoNTlKT6xmjNhs902nHbnAlD9bYvffdOfPu+eWGfu3jh3wdVTUV1I76/cT9+uvWo6ka5prYeVBnsC6snAx9r0sjazbtO48W3ToRk9qXMeXDtLVE0MMNKNAJxKS+QUl3g+SttQ90AtGhs7hI6LjiDtjDPjQ1rZ6s27peyfEbLGlKSE9DRLb+ZacWiyUP3o7bMfai6EWWHL+i6jkgRyVDq6cW7seQEHv1svu5sosjrFk9tqrQM19Ca2SYyAwNWomFKLijlUl54csu6Usuq0vJ6Tc303RkOoePCZdCcjiTV+/Kvb9Rb1vDgqnysXDgJ5aeu4LWdpwPqSTNTk0JaK8nxf+7iLWBtbe+F1+uTDZ709uKVq2cVNZzaVGkN6JvaelCy92NNbcWIjGLASjQMyQWlt8xyh80W+m8WGs1Bq5z7i3Nx7+3TUXa4AVc8nThQeQVdPfJZSZfTjuIFk1FaXq8rg6a1vlFuB7rLaUfRLDc+PNUY8vOHVuVh5eIceDwdAACLJSioCP63ALM3sSUnWtFtsFXXlrJalJbXy34hM7ppzUg2UfZ1S7Nj/bL4+AKpN6Dfvr8O2/fX8cswRQ0DVqJhRi4b4mnrUV3a5lKePJvNipVFUwAABdNcqpkxm82qO4Omp75RqazhvjtnhPxcGitbXiX/fgn+EqNUSiL9buHMcdhVYTzLmum049++sRi1F1pw8mwT/nRAvXuCHKUvZEY3NTW19aDybBPmTB+r6/b+r1tbVx+yb0jHxMzkgJ6+sWQ0oOeXYYoWBqxEw4jebIhEro0OBVLKaPr33xQ9Lpje+ka5sga5nw94fXittFrxsUpfYo7UXMXv3q1GS8f10a7pKYl4eGUeAGjqLyplfpW+QD34adDf0d2HPUfNKTMI94XMjE1NP//9Mcyd7sLqoqm6lsCl18dmsyIzMwUeT0fcBKxmdSngl2GKNAasRMOIGT0547WNTrwRbeCup9G7SH3jwrzBcxqpEaz8+BqaVN4vTW092L7/LEr2ngv5XUtHn3Bt4+eXTIPP5wMsg31k86dmYvqkdMVgXs9mKCXhvpCZVcZw/EwTjp9pClgCj9XmRjPv16wuBfwyTJHGgJVoGDEj2IyHNjrDpYuBaP9NPY3e5bKzUm/XnYcasPNQg2KNoNrz2NTaLXQt2z/Qvxx//RznhjaSbcf12kb/qVH+12h0tUBO8N+I2b14pSXw1UXZIbXD0ajnNHtTpZl1yfwyTJHEgJVoGDEabMZDGx12MbjOPzt7pOYqdh5qCOkeIFcjKPI8XvykXeg6+geML0+LXrckUhO8wv2N6BmbqiYWmxuV6tf13q9Qtn9mFipOX1U9V7S+DA+XL7xkLgasRMOI0WxIrNvoROIDd7izWi2YmZ2BX22vVDzu9Z2n4bDb0NrZi8amLpTsPRtyjP/zaE2w4nWV+tVokKttjEQ2TukLmf+Xg8pzTaZkleVEop5TJCOt937VarHn52bh+xv3x0VPWX7hHb0YsBINIyLZkHBLlWqbgKIhkh+4w51IttHT3oufbjkqdL5X3qlCvDyDcrWNkcjGqX0h0zo2Va9I1HOKvEeM3K9aLXY89JTlF97RjQEr0TAjsjM9XJujWAeBkf7A1UvP8qL/bdLGJAE+oLWrFxkpdsyYlI7aCy2KraGCf2d2AKU2ejTamtq7UVXnCXjcelcLwn0hS0m2YcWibMzPzRI6RzSWrv1fU+l1929rZeR8ZhwXjlIttt6OGGbhF15iwEo0DKllQ/RsAoq0aHzgaqVneVFthKW0aSr4fEBoayjpd/GwES6Stu6qRVvX9XZZ0uPWsxlq34nL+Jvi6ag+58GRmk/Q2TOAju5+lOw9i/ePXRRaGjZ7AEI40msa7v2iJ8jT07vXbHo6YpglXr/wUvRYY30BRKSPFJTeWjAB+VMz4z6rEA8fuP6k5cXgD0FpebGiulH4Nv7kNh8p3VdbVx8ynSM3aPUPVoHrjxsAHr9njqbH3tbZh//aXoV9J66gM2gamdJr508qrYkUqZ5T7v3SJHid/qQgW+R+IylW/92Jxy+8FF0MWIkoKuLlAxcQX170b+4eqTZMALBl12msWzYjIueOZ9IS7lc+N8v086o15peWuIPfky6nHd/4QgHWFc/AnBwXHPYEzfe/3i+jLnKd/f1evHvwPH73bjXePXge/f2h42pFguxYb6qMpHj7wkvRx5IAIooKkQ1j0frA1bO8GKk2TMDghqpLn3Sa3nrJqMQEoG9A/Ti9pOe4tas3IudVWxpWW+JeWTQFXq8PVXUebPzDCdXa4MzUJDy4YiYW5rlRVecReo/98u2TKK9uDMjMb32vFqsKs3F/cWCAGus60ljSOx2ORg4GrEQUNfHygatneTHSS40le8/i8XvmBDTaT3Mk4eU/nzI1gA2usVUSyWBVIgWKkTivCLV6b6vVAqvVIrSR7StrClAwzaXp/g9WhZYF+HzX+7yGC1pjVUcaS/H0hZdigwErEUVVPHzg6llejMZSo7RE7h9AmTGlKdVhw7rluXClJmPGpHScbmjGxhL1jGE0SK+/2ZugGpu6TDuXaPDZ2nk9U2zG+6W0vB733j4dNltg9V48bqqMhnj5wkuxwYCViKIu1h+4epYXo7GzvKmtB1XnPbBaLEPB/PzcLGxYOxu/+MNJ4cxoMJ8PsNsShp7zgmkuPPrZfNPGleolPcdmj08FgPePXcSaJdNM+SKk5wuOGe8Xnw8oO9yAlUVTdJ9jpImHL7wUG9x0RUSjjp4NLJHeWS7ZWHICz24+gl++XYlnNx/B9zfuh9ViwTe/MEfxdvZEK+yJ4f+T3tHdH7IrXW7TkRZJNmNBgv9zLHc9co9JjefTOlYz6NkwaNb7pbHZvEzxSDHcOqSQORiwEtGoJBcgZTrtshNzRII8i8HPzuBleqlVk9Uy2DRf7vQ9fV709IXuLvcXvHt+YZ4bz21YgifXz8eaJVM1X2thvr4lWJfMc+x/PV+/uwDfe+BmjElO1HUfAHCk5qru2/rTu0Nf7v2S6rAhySb28evOcGi7WKIRiiUBRDSq+YLW2YP/HSx4SVJu0lVlXRO27zdvXv2md6rQbrDmNNzueT3jSqWawVN1Hs3XsGbxVKz9zI2yWTH/chGRnfZKdh5qwMzsDFNqG/XWT/q/X9q6+tDS1Y/XS6uE7tNiAYoXTAagbyIb0UjCgJWIRiW5ueTN7b2qc8nVanDzp2ZiZnYG3jt8wbSNTUaDVYlcYNrY1Cl0+3XFM1C8YDJqL7SgS8c1FUxzCQdaZtQLmzmuU2/9pPR+sVot+O6L+4Tvb1VhNmw2q66JbOEw6KXhjAErEY060ZhLfqTmalzswg8WbgNRRXUjSvaeU72ty2lHZloyfvDSB7qCSa19Mts6jfdnNXtcp5ENg9XnPbjW0i107OqiwT6scl+spFIRpS9W/swKeolihTWsRDTqaBkcoEckp2IZ4RyTiBmT0gN+puVai2a5sbFEeTStktvnTcTBqiuoqvOoTqICgNQU/fWr/qI5rlMaNHCg8nLI42xuFwvAv/pXs3B/ca6uiWzh6BlDTBRvmGElolEnUnPJpSXXynNNcTOtyl9bZx++8+I+LJ49HvNmjAN8QFW9WJ3oF26bhv85fknX/SYnJSDBakHJ3rNDPxPJ7rlSk3XdX7BojetUy2JmpCYJnae9qw8HKi+jtb1X80S2YP39XmzaUa14DjPLJogihQErEcWtSNXc6emrqXYt4YIVM6Uk20wpMWjv6sPOQw3YeahB0+0GfD7dj627N3RklsiStkgvU7XJXc4xifikrQvvHmyDc0wSMp2Rqd0UWbovnDUeY9OTFcsCLBZgS1mtpvuW+2JVUd2IV3dUo72rT/H2ZpdNEEUCA1YiikuRrLnTOjhA7VrkghUzpDoS8aXVeQAQ20b/OocWqFHK7okMFFhVmD00xjScts4+/Nf2wF35Ztduii7dF84aj6+vvQnPbCqXPU7PcAi5umQt75dolk0Q6cEaViKKO5GuudPSV1PtWsqrGiNaryplxxbmuXH3bdMidj9KXE57xLJvarXCcr1MpV6u9xfnYsPa2Uh1iNe7ml27KVoTXX3egyVzJ+KJ++aGPB69/XvDbWTTU0MdrbIJIr2YYSWiuBKNHfyAWF9Nr9eHV95R7pn5yp9PoSvMkreZpMfr1Tub1aD1y3ORPyUzYqNp1bJ7Su2kKqobsWV3bcCytwViCWEj7yP/EpGLVzuEbiNtuirMd2PejWOHbt/a3qu5DEASbmCBSADtT2v3BqJYYMBKRHFFyw5+o1k/tb6aVec9qnWjkQ5WAb8sZAzi1dVF2UNL52rL88GSkxLC1q8GE8nuhWsnJbfsLfo06X0f6a1X9t905f94DlRe1nQeQHlggdbl/XBBL1G8YcBKRHElUjv45Sj11azSMckpUjxtPRiTHP3/ZB881Yj77pwBq9WChXlurF2aE7DbX4lIsKo3u2dW6zCt7yO99coupx15U8K/z0SX49cVz0BaapLqBkTR8zkdifji6jz2YaVhgQErEcUVPTv4I+XSNbGl3uREK7r7vBG9ls27a1R3e0dCcBZyzZJp2HP0gnBPUTV6s3tal73laHkfGQmSlR6n6CbA5YuyhZ4rkfM5xyTiZ4/dBpuNW1loeOA7lYjiivRhqyTSNXderw+VZ5tw4uNrQsevKpqi+Psx9gTD1xSLYFXin4W0Wi14aMVMzecI3hQlbZrSm90zI8Ou9X2kJ0gWeZxaNgGKEDnfF1flMVilYYUZViKKKyKtjMyouQvuqzpjUjpqL7TgSM1VfHDyinCAmJyUgM/floPJ7lTZukaL3i3gOq1dmoPxY8dgwGeBxevF796tNlRrG5yFlNuwpuSB4hkYm5as2lNXtPeuGRl2re8j0SB5zZKpmDguRVPvYJFNgFqYfT6iWGPASkRRpxaULMxzY3VRNkrL6wP6Ulosg303jX7Yhts0o9aAXs5n5t4wVN/p9QEbS0IDbTMa/ovwD0asVgsuerpx4PgFQ8FqSrItbBZS2rC261C90A73bWW1+OLqPNxaMEH2GC29d40MFdAbtIkGyQVTXbo2BKptAoz1+YhiiQErEUWVSFBSUd0Ythm8zwfsOFiP6ZPSdQetsjvLde7An5+bBWAwCN+yO3L9WJUUL5iERXnugFZPm3fVoMmEGs8ViyaHBDj+XzgmZ6UKtbtq6+pTnGwlMinK/3YimfhvfmEOnI5ENLV3o72jz/CkK60DJ/RQ2gQYD+cjihUGrEQUNSJByfzcrIj1YRXpq6qFf3Bi1iYgPRbluYeCEjOnbqU6ErFmSU7Az8J94UjR0L0g3Gunt/dutJe9o1WuQkShGLASUVSIBiUOuy1ifVi37z9n6vL8A8tmDAUnsRxt2fZpva1ZrZ4kX1qdFxB8yQXD0nOamGBB34Byqjrca2ek9260l73n52Zh7dJp2HmoIeC9xNpQoshiwEpEUSEalIj2PtUaIHq9Puw8JD9zXg+n43oj+FiOtty6uwYLZ2bpzvKmJNtUgy+RYFgtWJUEv3ZGe+9Ga9lbLru8YlE21iyZxswqUQQxYCWiqBAOMAU/87UGiKfrm03f/OT/mETqGyNFCvSr6rUNOpACU5EMpZklD8GvXTz13pWjlF0u2XsWHd19mJ+bxU1NRBHCgJWIokI02EiwWFR37OvZ2BKJJXv/xyRS3xhJG/9wQjggXzgzC8sWTg4IrtQylGY9f+Feu2hsZjJCJLu881ADdh5qkO1qQETGsGswEUXFzOwMZKYqB62pyTb8Yd851R37ohtbvF4fquo8OFB5Ga0mTWaShAugpE1AWjYhmUVL9rji9FV0dPdpeg4vXhWb+qUm3GtnduN8s2nJLksbCCuqGyN8VUSjCzOsRBQVb+yphadd+UO/z6scqVosg62KRLJXRnutOpISFPuXygVQ83Oz8NrO02J3EkMinRbCPYdGrF2ao/jaBdfSAoOdCr4U43n3erLLejtZEFF4DFiJKOK2ldWE7asarEelwb3PBziDRnyGo7fX6tqlOXC7HEN1nEdqrmpumXS6vhnNJmdzI0Gt04KZ7bEAIDM1CWuWTNN8X7EcSSvRUzurt5MFEYXHgJWIIqq/34vScvN256tlu0TqDYMzrXJBqJ6WSZGolZVrFxUuI6mF3LWa3R4LAB5cMVN2FGuk+u7KER3/KpmZnaHruY5lqzOikYYBKxFFVNnhBt1TpMKRsl1yQUdVnUd1CdvnA9YVz0BaalLAbeXOmT81c+h3B6uuRHzGfTApWB1jT8CNN6QhK3MMxmc6MGlcCn627Zju82ak2NHf70XZ4QY0NnfBneFA8YLJqL3QYmq3A6VSACM9WPXQMv5VcqTmKgYGvJrvK5ZdDYhGGgasRGSaAa8Pp8414Vpr91BQ19jcZdr5pY1OckHHLbPc+MvxS0LnSktNCphrrxTIADB1xr1enT0DOHHOA5wbbF+VkZpkKMv6xvu1OHupLeALxdb3anHTjS4zLneI2+WQ/Z3RHqxaaB3/qnQbNbHsakA0EjFgJSJTlFc14vWdp3GtpXvoZ5lOOwpMrOFbvzwXR2quygYdInWyEv/sl1ogE46RGfdmMVor+/HFtpCf+XzA8TNNhs4bTCnTGK0erHpKD4yURnBEK5G52NaKiAyrqG7EC28cDwhWgcGgbt+Jy4bPn+pIxOP3zMH83CxTaiv9s19G6zU376qBN6i7gdTeKtMZnSXh1GRb1O5L4nLa8Y0vFMCiEpOpZRqljLSRc4jQUnqg5TbBXE572EwtERnDDCsRGSIS8CUnJaBbpQOAEmmnuFnTlvyzX0bPqWXGfVtXH7bsNq9NlKS9ux/f+8IcWK0WHKm5ip2HGkw9fzjSJjWrxYqNJfLZZLVMo0hG2oxspZ7SA9HbfG7xFEzOShXawEVE+jBgJSJDRAK+7t4BFOZn4VD1Vd0bsDbvqsFf3zFd340/lZJsw6OfzQ/IfplRG6llxn2K3Yafbj1q+D6DtXb14taCCcifmomZ2Rl4dUc12iLQEiq4o0JhvhvWe+aEbf/1wLJcpCQn4kDlZcVgTspIa20hpmW3v57SA9HbzJk2lu2riCKMASsRGSIa8M2fmYWvrZk9tCPd6/Vhz9GLwvfT1NaDtk5jNZsb1s5BwbTADUVm7OTWco7Wrsj0aPW/hoV5bizMc+PvXtiL1g5z7i8l2YYNa+cgf0pmSFAYPpvcG5JNVtqNr7WFmNbd/nrGv8b7yFii0YQ1rERkiJbMlc1mxcqiKXh4ZR4eXpmnue4yNSVRd61mSrIN8CGk3lSkhlKJ1oAlUq2OgrOpNpsVj983z7Tzd3T3w2qxyAaQUjb51oIJaOnswcaSkyGBnrRR7e29Z3Gg8jKq6jwBr4f/OfKnhgbGEmmTnNz5w41F1TP+1ayRsdJ42w9OXMZHtZ+EvAeJSB0zrERkiEgWyjkmETMmpQf8TM9ueldqsu4d+B3d/fjp1qMhWTiju/q11ldGqu3V1t01WDgzsLn+krkT8cR9c/HbHVWmTN+SsulKS/Fby2pQqtKtoWTv2aH/r9YDNZiRQQN6Sg/0litIwmWCRW9LRNdZfD4zW3rHl4EBL5qaOgyfx2azIjMzBR5PB/r7tTePJvPxNYkvIr0qwwUmXq8P2/efw85D9aq9RF1OO57dsARWq0U2CCia5caHpxqFgsHgndxK51Rql6VnR7jZY08lT66fP1RL6f830tnZh2/+/H1Tzt/R3Se7FH/mQoum1mL+RJ/HqjoPnt18ROha5epKtU660nsbtdeZ3QRii58j8cHlSkFCgvqCPzOsRGTYwjw3nrhvbkgfVn/BfUvDBYhK/DOZSvWO9905A1XnPdhYckIxCA7OwoU754xJ6fjBSx8oXpeesaFyWTuj5OqJ9xy9YPjcmc7ButSNJSdDfie9tkb2xos+j2YMGgi3GU6N1tvEYuQs0UjGgJWITFGY78adhVPx6D/vUNydvnlXDbw+KLZC8ie3fCoXQFitFlgtFtWMbbh2VP7n9Hp92HWoPqJjQ81e4Gps6gz/cxOmjX1m7g3YsrtW8Rgjj0b0eYzWoAGjoj1ylmikY8BKRKapPtek2kqpqa0HvyutVjzGOSYRDyybAVdqsq6+lkazcFqzv3LnkVtGjlRJwDsfnseaJTkhz5c7Q340qiiv1xeRcbP+RF634bJzP5ojZ4lGAwasRMOInjq6aJ6vqTV8OUAwtaC2rbMPrtRk3ZknI1k4PcFka3tvSK9RubZL65blYstu49O6wunp8+KXb5/EN9fOCfh58YLJ2FKmnB1VU1nnMXR7EXKvW/D7dN2yGWFLEyTxMBZ1uGSCiYYLBqxEw4TWvpPRPh8AuNKSdd0uHCOZJ71ZOD1jWi0WBASDKck2zJ7mwsGq0NZKnrYe4VIIvQ5WNeJvewdgs13fxGCzWTF3ugvHzzTpPu/HF1vNuDxZcllRuffp6qLskA128bT7frhkgomGC/ZhpRFP6oEYru/jcKGn72Q0zycpuHEsXCbNtDeSedLbP1PPmNbgMtSO7v6wwWo0/f2Le1EedA2ri6YaPm9yUoLy7xP1f6RIr4f/3+vbe8/Kvk93HKzHumW5eHL9fHz97gI8uX4+nt2wJC6CVcC8Hq5ENIgZVhrRIpFFjDazdxtHcvdygtWCh1bl4YU3jmu6XTAzMk96+meOlHrCrp4BvPDGcaSm2DEre7D/rRn9X2dMSseJs/JZ2s/Mm4iW9l6UVzcKj+D1fz201g5v3V0z1OrMKLPLY/r7vbjW0o05OS7UXmhBd+/A0O9caXasXzZ8/htEFA8YsNKIJVeLGNxeKd6Zvds40ruXC/ONt2wyK/OkddznSKsn/NUfTuCnjy0BYHxAAgDMyXHhjpsnhry2FstgpnnnoQYAQHpKIubkuNDS0RcSrGU67bhj3kS4XQ7DG9Ga2nqw61A90lKTDAWZZn+x3VZWg9Ly+oCg3QJg3oyxuH9FPiZmJg/LlR6iWGLASiPSSOqBaPZu42jsXvYPFCvrmrB9f53Q7SJRg6ilf2akplDFyifNXag+70Hu5AwAg6/L2qXTULL3nOZzWSyDm7dsNivm52ah6rwH7x2+gIrTV0OyqS0dfdh34goev2cO/u5v5ql+YdBTOyzxrx/WE2Sa/cV2W1lN2OEJPgBHa6/hxsmXsXZpTswCVrMzyUTRwoCVRqSR1APR7N3G0dq9LAWKooHvmiVTsXbpjUN1jLH4ULVaLbhFZbKVGTJTk7BueS627K4NeJ86HYlwZzpwxsQNTsEjWd2uMbrOs6owe2gj15Gaq3ht52nVca/Sl0K1vzE9tcPhaA0yzf5i29/vRWm5ylja989gza3G64n1GAklUjR6MWClEWkk9UA0e7dxtHcviwa+BVNdiu2govGh6vX68OGpyG+YuuPmiSjMH4/5M7JQdrgBjc1dcGc4cOfNk/DDXx1QvX2SzYLefrEMXUZqUuC/NX4RsVgGg9X77pyBqjoPjtRcHVr6VyP6pdDsv0PRINPsL7ZlhxtUa3e9PmDXoXosX5Stej4zjZQSKRq9GLDSiDSSeiCK1B5qqfk0+3xqtATIWj9Uzc7EmpXpU+N2jQkbmP/pgzrVHrUAYLVa8fXP5+G371ajq2dA9rhxGQ7kTckMWH4WeT3G2G24pcCN8ZljULxgMo6d+QTf37hf13MjEoya/XdodqAsepzoRDEzJo9pMZJKpGj0YlsrGpGkD2Ulw6kHorTjPfgxuZx2XZkRs8+nRLS9DwDVD9VN71QNBV8V1Y34/sb9eHbzEfzy7Uo8u/kIvr9xv+6WXIC+TJ9aq6dwGps6w7ZrEglWAaC7dwC//GMl7pg3UfG4r31hTkgAIvJ6fPlz+XhkVT5WFk3BsTOfhL1WUY1N6sGZyN+rVmYGyqLHiU4UM2PymBZaMslE8YoZVhqRop1FjAatO97NPJ/RTKZIi6mqOo/qh2p7dz+27z+HSVkpEVne1Jrpcznt+Mk3FuPPB85h56EGdHT3q94mJdmGPUcvar62cA6easSGtXOwZXfo8/rQqjwsmTsRHk9HyO1EW34Z2Qwlef/YRaxZMk3x/SJSO7x26TS4XWPQ2t4rNLVL5LU0uzymeMFkbH2vVrEswGpB1MsBRlKJFI1eDFhpxNLThzPeWa0WzMzOGAoeT9c3GwpaRXbQm1VTqhYgi35Y7jxUj0Sb8uKQ3uVNrV0C1i/Phc1mxd1Lb8SaJTmoqvPghTc/Qk+f/DK91+tT3awkqqmtB05HIp7bsCTkeU36NPMrNeL3/x0ApCQn4p47cnD2QisAC8ZnOoa6AEjMKJHwCCzPV1Q3Kgarq4uycffSG4ceT2l5vSlBphlfbIO/zK1cNBml5fI1vmvvmA6bzYr+fq/q9ZllJJVI0ejFgJVGNLOzkrEW7Q1JZm/UUAqQRT8sRbKYejtAiPYqDfelx2q1wGq1KAarANDVq/x7rZo7emSf1/3HL+KlN4+jye/9kpI8+J/9cM9jaXl9wHvJrIyb0nlEsrgHTzXivjtnDD3HZq6eGPliK/f3ePOMsTh25lpgH1YLsPrWqfjy5+eEzXrrJbL6wTGxNBIwYKURT0sfzngW7V2+Zm7UEP1QTUm2CQWkIpo7enSXMoS7juSkBHxm7g2Yn5sle55YLKnKBfrlVY1hJ44pPb/B7yWzMm5K59GzU9/s1RM9X2yV/h49bT345t2z0dzeM9QBonjBZCQnm/uRK/oFdiSWSNHow4CVaBiIxS5fs1r+aPlQXbFosq6m9uE0NnWF7GxXy0YrTVvq7h3AzOwMxcca7SVVuayY1+vDa6XVus8rvZfMGKSglrnTW19p9uqJli+2In+P296rNW1sbDhav8COxBIpGl3YJYBoGIjFLl8zNmpIH6rB1y59qAbv6F+zJGdoyVpOptMe0ls0WGqyDSV7zwrfLyD+pUBpQlEkdrsrkcuKna5vDigD0Ep6L4l0FFCjlrkzUl8pBZm3FkxA/tTMqGUIY73rXu97dWGeG89tWIIn18/H1+8uwJPr5+PZDUsYrNKwwICVaBiIxS5foxs1+vu92LRDOcsX/KFqtVrw6GfzFW/z4PJc3FowXvGYPpWxl6+H+TA3IwgxI8ATEa79WH+/F+8ePI/fvVuNvxwz3oVAei8ptUC7ecZYWGRiRNEWacOxBV2sd90bea/GKsgnMoolAUTDQCx2+RrZqFFR3YhXd1SjXaWvaLiSArWly/m5WarZpR6VjU2eth68ve8s8qdkDi0niy57qwUhctevl9ORiIdXzYTTkSS79L2trAal5fWqU5a08H8vKS2//7/fH8OxM9dCbp/tThHK3A3H+spY77qPdcBMFAsMWImGASPBY3+/N2D8Z3DrIjl6A4nyKvk60HDCfagqBUgi/VpFvL3vHN7ed27o36mORKHbiQQh0vWX7P0Y2/fX6b1EAMDt8yZi4NNscFH++JDne1tZjWJLKD3CvZfC1Xg+/0b4YBUAjp1pwvNvHMO375unen+RqK80ewqav1jvuo91wEwUCwxYiYYBvcFjuMzb1vdqsaowG/cXqy9daw0kBnRs9gn+UA0ONIKDtEhljdSywZLDpwfrX9UCIKvVgoKpLsMB658OXL99ptOOO+ZNhNvlQEaKHTfekIbScnODVUAso9nbO4CjteGDVcnR2mv4oPISFhfcoHqfZm6iinT7t1hnhWMdMBPFQkwC1vPnz+Pv/u7vMHPmTMyaNQtnz55FYmIi0tPT8a1vfQubNm1CXV0durq68NRTTyEpSXmDBdFooDV4lMu8+XzAjoP1aGrtwc0zx6kGBloCicqPr2na7BP8oSoSaMQ6a7Sr4gJ2VVwIGwAFB9szJqUb3mXvz9PWg5K9Z4f+nZhgMbUMQEtGc+t7YhOwfvX2KSQlJAiXBxhtQRet9m+x3HUf64CZKBZiErBWVFTA7XbDZrOhs7MT06ZNw6OPPop//Md/xKVLl1BRUYHnn38eb731Fvbs2YOVK1fqvi+RpU81CQnWgP+l2Butr8ktsyegcNZ4VJ/3oLm9FxmpScibErpxor/fq5p5O1jViINVg9lCaZRnYb78h+yc6WNDfub1+oauxZWejK4+bdN7HlqVNzSRSa6UQAo0nrhvLgrz3SjIcSE12YZ2hX6iqQ4b2rvM6ecqJ/i6yqsa8VppdUDA7nLaceucCXjnA2NZVjl9A8ai1WULJ2F85v+/vXuPbuo888X/lSxZli0ZX7ABgwEDxuZSAuGWUJImXN2etKGZTm5tmpw2PRmStmumTdrJrM6alcma019JO+2vmRyatHOaO4Fe4qS0wQ0hIQVCAHM1xsYmxthcLINkW75bls4fzja673dvbUlb9vfzTwJsbW1pS9rPft/nfZ5MZGelI9duCftZiqS9o1/4eba914Dl80LTGbTm9fqwTW71vIbHIvp9lGj5u7VywWQY04yhn7lsC766Ifp3mUaM1+tIqkpKwLp48WLccsstyM7OxqJFi/Dzn/8cAFBQUIDW1lbk549cGAsLC9HU1BRtV1EZjQbk5mZpcswAkJ1t1WxfpI3xek5W5dui/vtbe88pGnlzugfw7O9P4skHl2PVoiKhxxw4eQkvVJ7Ctc7rgUt2llgeqNViwj/eu2T0uYa9Prz+7tmoj9m2uwFrV87ExzWXowarAPCdu5eg+Yobr1fVCR1PLLbtbkCmNT1skX6newDvfNSMTZ+bjb8dvxjwXk3MseLWxUX466EL6O4VS0fQ2toVM/GZORNVPXb6lGzUNDmFtnV2DeCSq1/1c4k61XhVdoQ/Hsci930MptXv1oabS7B25cyRmY2ufuRlZ2D+rHykcWRVkfF6HUk1SQlYa2pqsGzZMqSnp2PlypVob28HADgcDpSUlKCzs3P0z4WF6u8SvV4furp6Yz7etDQjsrOt6Orqw/Bw4vo/U2Q8J9Gdv9Sh6nHPv3kSZVOzASDqqFGkLkpdPWKBV9+AB909A6MtKs+cdwYEc+Fc7ejDR8da8Os/1UbdzmY1o2xqNsqmZuOd/Z/A1T0odExqXe3ow//5/Ymo27z14Tn8w50LkGOzhLynX1o1E2fOO7HnaCsO17XH9Vj95WVbUJSbobpN6F2rS/CXA+eFt2+53Ilp+fENDFoud+rmWMKJ1+/WtHzr6Ovp6oz9mjde8DqiD9nZVqFR7qQErLNmzcKWLVuQlZWFBx54AB9++CGefvppTJ8+HRMnTsSiRYvw9NNPo7e3F08//XRMz+XxaPchHB72aro/ih3PSXgTszNUPc7ZNYDKD89h74nLEfNIvV4fXo2hi5Lktap63DArH0ajAde6xKaXT593yo6gdfcNobbJifIZubh//VxFFQvUcsss2PL5gK2Vp7Fodj4qVkzH7KIJ8Hp9o7VgS6fl4AWZQFxr960tDTgGpYxGAxbPyZddeCWxW81x/67aBSs9JOJYouHvlr7wfKSGpASsCxYsGE0DAIB169YF/PtDDz2U4CMiim8ZnERbc+M0bH+/UdWCnHCtUf0XrGRlmDVZRORfg1V4IZXg66k978Tc4hzNa6LG6uS5azh57lrIgi2RQvBa8a9nW9fsCvm8K/kefPcrN+CXvz8hG7QmasU6V88TjV0sa0WE+JfBSTSTyYiNy4s1r8+5bXcD7rptlmb7k0pUiQYa5TNysVNgAdPOj5qxv+bK6PkLrnLg7hvEG+81Bp5vWzr6Bz3oG1Q20pJuMmJQ4ehM8Ir1RBR4z8owYfOdC1E+IxfHGtrxxNYDIZ/3lfMK8fEZh6LvwbfvWoS3/nYOf/roQsTnTtSKda6eJxq7GLDSuJeoMjiJJtVZ1bIDktM9gG7BPFUR0siqaKBRPj1XuExU8PkLLpe0dG7haBBrs5jRerUbteddwguJJIMeLyzpabLdtcJ5uaoeN8yemJBSXT39HhiNBhxraI/4eQ93gxPtexDuRs9fhtmIb94xP6Hfn2SWmyKi+GHASuOa1+uTbfO5bXcDlpQWpOSozN1rSnHXrbNHO10NDHqwv6Ytpn3aM9M1qS0aPDUrGmjIBbbBIp0/qeanFm1N1QSrAODuHcL3ntuPBzbO1bReayQu9wB+v/ecqscGv4+RbvT89Q95ce5iZ8KDRC2bEBCRPjBgpXFNJHcwXL/7RIo1t9ZkMmLDiumjf15cWhBTTqc0RRzrYqZwU7MigYbSvNRo50+uremU/EwYDcDFq/Fbed3dN4StlaexorwAh+JcJcDdO6j6vPu/jyI3epKqwy2469bZmtTEVkKLJgREpB8MWGlcE80dTESOYTjxyK31DwqP1Duw5+hF4cdmZZjg9fmwpLQgbNBozzTDLVBTdO2yqVE7RMkF5dJrqNz3iVDr02MN7SHBi0hzhcvXejFjkrIam2odqmtHZoYJff0e0bVlitgzzbAJ1smNZOdH53GhzY2i/CzhwNfnA/YcbQ24aSIiUooBK41rormDyWgHGs/cWv/RJyUBa0+/Bz994/ho0PzM5lWjgWZ+dgY+PHUF+09ckt3Ph8cvo79/GA9WlOPEuauKg3IpwL1yTayG6LtHWkerBkj2HG0VSgNobusWeg4t9Mo0RIjFTfMnIc+mrtyZpPa8C7XnXVA6sX7yk2uYPsnOaXkiUo0BK41rsZbBiVcprETl1s4tzoHdapatIxosXND8u73nhIJVABjyeLG/5gr211wR3r9EbqFPJMHvl6OjT9HjU92S0gKhz7sIpSPAUqCbypU3iCi52ECXxjVpdXo0kcrgVNc78MTWA9iy7RheeLsWW7YdwxNbD6C63hHzcSnJrY2F0WjA1zaWqX78tt0N8Hp98Hi82HVQfmpe7f4l0qizmoAr+P0qzElcpyNTWnJHFXNt6aM3U3Kf93iSbkRi+Y54vT7UNbtwsPYK6ppdqhsfEFFq4QgrjXtqyuDEuxRWInJrpdHh/acuq96HFAReaHNrVjor3P6VLvSJ5FpnP16pqkObqw8FEywwGBCX4w5mMafBYh5JqUiG+9fPHb3pWlpWiE2rZ4ZtEJEoamcHxlq9ZCISx4CVCMrK4CRiuj7eubVqp9XD6egZiOv0uhSUa9EN6r//ckaLQ1Ksp9+TlCDRnpmOh75QjiVzJgb8fZ9AGS5TmgGeYflo3mI2YmBIWeMENZU3xmq9ZCISw4A1xYyl9qF6I1oGJxGlsOLZYlKkfqYSOVkW5GXHb1GaFJQnq1KDVgrzMvHYlxfit+/UCS2uUjP6e/fts0f2bQAWzMzDzUuK0dXZG9AnfceeBlQJdEAT/VW5c3UJZk7OxlV3H5oudqHN2YfaZpfs42qbncK/X2O9XjIRyWPAmkI4HaYPiZiuF+n8dOsNRYr3q8W0ur88uwUnGtvx1yOtmu0zeP9SUB7vSg23LJqCQ2faFI8WisrJsqCnf0i4EoDPB6QZDRhWkKOZP8GKipUjvwUmkxFpQcGbSCkvyZDA6KrBAKxbWvxpjdVcrF5YhLpml1DAuvNAM/afuiL0+5UK9ZKJKL646CpFRFpsosUiBlImUaWwpNzaXHv4/VTua1K8yEuLaXV/0yfZUHVYrDyUGv4L3qRR53j528nLEIjRVLFZzZgzdYLimwUlwSoAvPrXehw4fTniYiTRUl6iNi4vhtFoCFgENWfqBOHzJPr7pfd6yUQUfxxhTQGcDtOXeE7XB5Nya3ceaAqb/6g0f0/tBT3XZoGrO3BB2t23z8Hzfzqtan9ywi14Exl1jpX/1LmWfD4fXtx1Ju6tV929Q/jNn0bydPPsFnxr02dg9HlxrasfOVkWtLnUdewyILCUlcEwEqzOnjoBT2w9EDLrs3JeYdQOYsHkfr/0XC+ZiBKDAWsK4HSYvogETpFKYam190T0lfyiNyxqLugVK4rxldvmhORO7z7SEpeR1U2rS/CFm2ag8WInDtZeCcjVVtqWVS96+j04UNOW0Od0ugfwk1eOBPyd1ZKmal//845y9PZ64OjoQ2GOFWtunIYT565GXAS161CLosVYcr9feq2XTESJw4A1BXA6TH/UlMJSS8sbFjWF42dPnRB2QZqSygDS+/KZknz843/tQ3+UVervfNyM3dWt6PZrZuCfqy036pxoi2bn4eQ5Z7IPQ0jfgHx1gHAm2q0oX3j9/IvM+ijNBY72+xXLTSJz/4nGBgasKYDTYfqkpBRWLLS4YfEfYfrcDVMUBXqRRm9FC+/fvqQIX11fNprrGC1YBUYCneBgJzj1wWg04EurZ2FqgQ3Pv31aqPxSvDRdciftuRPBZjWHjFxqnQsNyP9+6bFeMhElDgPWFJDInElSRrQUVixivWEJN8KUlTHy1RcpZB9p9Pa2xVOxfU9j1DadBgNw39rrReud3f2yzxdNcPC8pLQA9sz0pKYHuPuGYLWkqR691L0weR9az+aI/n7prV4yESUOqwSkgFjah1LqE1kdH+mCH6m6RE+/Bz39HiydWyB0DMEBSnW9A0/++qBsT/mNy6WSRyOP2b67Uej5IglurxqPkT41ZhdlJ/sQ4qa73xPSAljr2Rwlv1/STeJN8yejfEZuxMclqr0xESUGA9YU4PX6kJVhxvpl02C3mgP+Lc9u4bTWGKf2hkVkhOlsa4fQMfgHKJGCYH8GA7Bodj4WzZ4Ir9c3+hi3X16qWlLw7PX6UNusj9zRAsH0iFQVfMOiVYmxeP5+MfefaGxhSoDOhZvOtVnNuHnBJCwpLeBq13FCTf6eyAiTu3cINqs5YIFTMP/RW9HGAz4fcPLcNZw8dw05tnQMaVgu6vAZB05/4kTteVdAqa1kml00Accbr+litDcegkdUYykxZreace/aUuTa47tan7n/RGMLA1Ydi7RgoLtvCO8eaWWwOoaIlN1RushLdOTo5gWT8G6UTlX+o7dqpuA7ugcVbS/nWMNVTfenhbzsjLjWiJ06MRMXr6qroRqrSOkmS8sKsWl1CSr3NSna39cryhIyI8Tcf6KxhQGrTnHBwPihpOyOkkVeoiNH0ki9yOhtKk+f2jPNWDmvELurL2q63zy/kUKlNWK/cNN07KluRX+UElC2DBOe+sZKHGtoj0v9WbkR9mj5pXesmokPjl8UuimJR8m3aJJRL5mI4ocBaxJFG1Vjs4DxIZ5ld0RHmOZMnYDGi534u9tmobtnCPbM9IjTtak8feruHcLBWu1bGPsHPdIoeF2zC8/+8RQGhiJXDrCY0zB/Rh5mTLZja2XkjmEPfr58tGmCNMK+69AFnDx3TZPjf7CiDABU1RQ2Gg346vq5UYPC9cumJS19KZH1kokovhiwJoncqBoXDKQmJR114j2KLjLCtGJeIX74/EchOdIPbJwb9jnVNB5Qy241Y0q+FWdbuzTbZ7SRRKVybem4f/3cKKPg0WsoDAwN46fbjyPXbkHFimIcrG0LGKkMt39p3+UzcnG4rg2vVJ0NeE0GQ9gqVGEFB21qawrrPShMVL1kIoovBqxJIDKqxgUDqUdpR51EjKJHCyZWROj33t03hK2Vp9G0ogt3rwmtTqC08YBS/iNyr+8+q2nAqilD5ICnrtkl3OlJamW6edNC2K1m4aBqefkkLJ1bGBCIufuGsLUy8g3KptUlKMyzht1/LDWFkxEUKrk5TES9ZCKKLwasCSY6qvb/PXIzFwykEDVT+4kaRQ8XTMyZOgE/fP6jqI/bdagFJUUTsLx85LjDBeT+lIzuRVNd34571oxMs4t20xKhdXH/aOe2rsWleH/b32vAls2rFAV54QIxY5JGOxMZFLLdKtH4w4A1wURH1RovdnLBQIpQO7WfyFH04GCitskpNK3/6l/rsXRuAY41tEf9LG5aXYKpk2x47g+nYj5W/1HlNTdOw/b3GzUJhL9eUY5Xq+qFunspETZtQ8XxapWTLt2gnLvUiSGfAWaDD7OLJoyZ3wq2WyUan9g4IMGUjKpJ07nBBbrZLEBf1HbUmVucM9oiNRJbhknzUfTqege2viVWfsndO4S6ZhdefKcu6nYfnriE5WWFePLB5cgL83ndtHqmomOU3k+TyYiNy4sVPTacihXFWB6n70u4c6s26NQqJ91oNGDezDx87sZpmDczb0wEq16vD7VNTtnP4rbdDfB6NbjDISJd4QhrgikdVeOCAf2L69R+lDxJNSKNTkXz/rFW2VFJp3sA9RdcWLWkGGVTs1Hb5Az4vALA3hOXhRdruXuvLz6S8mirDrcoHmm1Z5rxtQ1lWF5eiLpml+ajqxJnd3/An8un5yIrw6T4+cZ6TrqSvFN/cuko/lg9hWhsYsCaYGqKWXPBgL6pndo/29IhG9B09w1pdvEV7VIV7HSTWD6mtMI90udVSWF9W1ZgC+K715TirltnY8/RVtS3dAg1D7Cmp+FrG+aO5uCK3jCYjcA3vrgAEzLTUdvsxM4DzbKP2b67ERZT2uish9FowNcryqMugAo21nPS1eadqrnJYvUUorGHKQEJprYvPOmXu29QdiA0XDCS6NJlarpU2axm9EepJeovx5Ye9d+lzkgi8mwZIX9nMhmxYcV0LJ8nNrXfNziMrZWn8Z/bj+Ovhy7AnmGWfxCAIS/walU9zrZ04EurSkJScsJx9w3huTdrUF0/Uue1ut6BN95TdnMQ6Xvv9fpQ1+zCwdorqGt2peR0txR0Bn/+pLxT6X0LpvYma6yPVBONRxxhTQK91y0kcdX1jqhF3yXhgpF4LrryeLzYc7QVjo4+FOZYsebGaaoCX9H7pqwME8qmy48Ci3RGijbS6PX60KWw1WtNkxM1TU5Fj+np96ByXxPePdKCWxZNCVv+K5xtuxvg9fmifiaCUwWife/Hwmr4WOoNq7nJGusj1UTjFQPWJGFuauoTuRAbADzypQVhg4s5UyfIloIyGEa2U2LHnoaQfM/t7zdiWVmBov0AQFevWKH99cuKZT+7Uv7i8vJCvHukNeJ2UnAfnO/o6unHK7vOon9Qu9JUcnr6Pdh1qAWmNAM8w/Ijm073AF6pOht1m3STEZvvXYyu3sGo33ulq+GD36/5JXkCrzCU2jzTSPupbZavSBEp71TNTRZnqIjGJgasScTc1NQmMvrjA/Dau2eRlmYICVobL3bKLiLy+Ua2E/2c7NjTEHY00OcDDte1w5KehgGNAz6T0YA7Vs2Muk24kcLgYN1/pFHJIptEEAlWJXLdtFzdgzAaDLhp/uSI23i9PqHV8NKoZLj3K89uwSN3LcK8YvEbHq1GdNWcv3DBqZLZBc5QEY1tDFiJVBId/ZHyG4NHxLTOYfV4vKg6HH3qWutgFQA8Xl/UvMpII4VSsBrca17NIptUI3dOdx5oEqrMMLJwbyjs++V0D+DHLx3Gd76yCEvmTJQ9Jq3qm6o9f13dg/B6fQGjoyKLVLMyTNi8aSHKp+dyZJVoDOOiKyKVlOaWBteH1DqHdc/RVqGyT59dOFloIZES//edMzhz3onhoMBVJG2iur59NFhVu8gm1UQ7p16vL2rKhD9nd7/s+/XaX+tDbiiCF3J5PF7Z/bxcVQ+PJ3q72VjO3xt7GvHE1gMBC7BEFqk+9PlyzB8jtWaJKDKOsBKpJDL64y84T09JiTORvEJHR5/QcVjS0/DM5lU429KBvxxsVrwgKZyDp9tw8HQb8v9Ui/vXzx0d0VPSVKF8Rq6qRTZ6Y7Oao6YFyC0KEil3JunuGZJ/f7sCP3fhpuvljhkYaSLxvef248GKsogjrbGev3CjuZEWqWZlmLB+WTGWlCrPzSai1MMRViKVREZ/gvlPBYuWODvW0I4nth7Alm3H8MLbtdiy7VjISBQAFOZYhY6hMMc6mj+tdEGXnGud/Xj29ydxuK4NgPK0h7FQP/PmBZOi/rvcoqBjDe1Cz5OVYYI9M3opMcmHJy/h1b/W4793ng5bXkouWPXfLloZKq3OX/BsxNKyQjyzeRU2rZ452h1OquQQ7rtARGMPA1aiGEijPzarWI3P4Klgufa7AITrV665cZpsPViDYWQ7YGT6du+JS0LHrdSv3jqNw3UOxWkPY6F+5pLSAtUtlavrHcLpAOuXFQundhw83YY9Ry9if02b0PZyIrU/1er8hWt3e6yhHZX7zoeMPsvVciWisYEpAUQxWlpWiBtmT8T3n9sPt8KpYK/Xh6wMM77yudlw9w7ClmVGni1jdLsnth6I+tz+K8VNJiM2Li+OWjN04/JimEwj96nxnH73+YCtlTXYvGkhcmzpwnVX5xbnqGppqhe5tvTRdA2lZeuU5H/aMkyjlRmUpKVoxekewO4jLVgXVM5MdJGUyPk91tA+msYQSy1XIhobOMJKpAGTyYivV5RF3SZ4Kri63jE61f/rnbV4Y08j/vDBJ+jpH4LRaFCU/ym5e00pKlYUh4y0GgxAxYpi3L3megpCIqbfX6mqx6BMpyz/98VoNGDt0mmaH8eMSTbN9xnO/evnAgDqml049GlaxIrySSifIb+CXckNxIOfL4fRaMCxhnYMDCYnuFe7SGr9MrHz++6R1tF9q/kuEJFyeu6sxxFWIo0o6WAmUkJoaDj6imyJFHhKC7OmT7bje39/A1rau3G1s3+005U0sioRnb69fUkR7ls7EojtOdqK+pYOHGu4KvTYaLmR5jQDbpiTD6vFNFrOqLregd1HxLpKKdHc1h3T4x+5cz5cXQPY9fGFqM0UDp1pw4vv1AWMIIrWMRW9gVi/bNpordp4lP+yWtLQNyBW/sz/8yqNKA8Ne7FpdQn2nrgU9nuwpLQAe09cFgrOpVHTRLcxJhqP9N5ZjwErjUtadPMJt49IHcyAkVG3jp4BZGem47V3o3dD2ra7Ad/4wjyh48jJsqj6oRGZvrVnmpFpMeHtA00oL87FumXFWLesGE9sPRDzNPTQsA9H6q/iSP1VmE1GTC/MwrlL7pj2GQ+W9DS8WnVWaBr7cF3oginROqaiNxBLSguEGguokWe34H9/6yY8vvWA8EIsAHhpVz1ee/dsQOpHji0dm1bPRGFeZsh37P51pULBtjRqGs82xkSkXR3meGLASuNOpODuczcUoTDPKhTAygWI/p2p1HT9cboHAIN8fmKe3QJ33xC2Vir/oZGmb6MFDu7eIfz54AUAwE40IyvDhIc+X46V8wqj5soqNeTxxhSslk7LxoW2bgwMiY1KKzEwOAwtxu1+s7MW7R19WLe0OGS0GxC7gcj9NN+3rtkVlzzf+9aVIj09DQ9WlCkavQ0X3HZ0D6Jy33k89uWFIZ3alpYVYv2yaUILzDp6BrCifJJwCTgiUiZVcsSZw0rjinQXGW7VfeW+pqhlo0T2EbxaOdK2Irp6B2XzAe9ZOwdvvCf/QxMpDylSlYJIevo9eO7NGuyuFlvJnigNrV0xB6sWc3x/DgeGvNjx/jk88rMPsGNP6DkTyf8cHBrGsYZ21LW4ND224AoGSj8X0UT6/InWT83JsgiXgOOCKyLlUiVHnAErjRtKVmFHKpUjeifq/bRdaSxdm3KyLLJlr+zW9Jh/aKQalz+4bwm+dcd8oRJdnmH9JOJr4YurZsRldDYcnw/YdaglbNAqnW+p1mgw6YbhyrXemI9jRXkh/teX5uMH9y3Bls2rQkbhpc/FvWvmxPQ8kT5/0ohyNP6jpnLfhWRPVxKlqlTJEWdKAI0baso4BU+DKL0TVZvnGXyhjlQi6WDtFaH9yf3QSI0E6ppdinIXx4r2jv6EP2fV4RbcdevskPSAJaUFsjnOdRc6VD+vwTBS3sy/YkQkRqMB65YVo+pwS0w5yx09A2FzvuVSUoJHTaN9F4hInVTJEWfASuOGmrvD4HaqovuoPe/ElPwsxc8nCb5QSwFlMNEfEIdTbEQu2XfQyTIgU3orHny+kaoLG1ZMD/j7sy0dUevWAiM5oxnpaegfFD9ui9mIO1eXRMyhjUQk11mOw9kbslBPyvkWrazhfzzhvgtEpI6SNuHJxICVxg21d4f+QZzoPnZ+1Czc/cpftAt1OCI/NACw9/gl3LGqRHYkKtl30Mkye2o2zl9xJ7wAv6OjL+TvRG8ablk0RbgrFgA8fMd81dPmkUq2ibBZzajcdz7k7/0XBT6zeRVHTYmSROSmVA854gxYadwQDe6C+QdxSvYhMrWea7fgm1+Yh66+QVUXaqPRgM/dUITKfU1Rt3N1DwaMFEei9j0SYTQC3sSkiSr2yaUuofdRa70DHtQ1uwLOu5LyVnOLc0KCSINhZPRWkpdtwX1rY6+j6D8df6TegT1HLwo9zueLnu8spd1w1JQoeZTUEU8WBqw0bqiZ2gyeBtFietTf/etKMb8kL6Z9FOZZhbarbXbKBsRavz5/N8+fjP01Yjm3iXb07FUcPXsVWRkm+Hw+9PoVzs/KSANgiEsZqYOn23DwdFtASTSRmwZbhiliC9g5Uyeg8WIn3H1DKJ4yAUW5GRGrRCitR+w/HS8SsH52ofw5D067IaLk0HuOOANWGleUTm2GmwZRMz1qt5rh9htx1fKuVThN4UAz9p+6Itu1RHp9wR2bYmEwAA9WlKOjewCnz2tbkklL4V5v78AwNiwvxg2zJ440frCmY+tbNZoGsME1c+VuGrr7PTjW0I6lZYVhczrLZ+TCZDIiNzcLLldP2IA1lq42ojVj55XkCt2kSGkQHo8Xe462wtHRF7FDGxHFj55zxBmw0rgTfBfpcPbig+OXAha6yAWU0j4q932CnQeaZZ/znnVzkGfLiMtdq5JpfNGuJdLrq7vgwnvVrcKtWCPZuHxkoc+MyfaYAla71Yyy6Tk4Uh/aUSpefD6g6lALXF0DWDx3IoxGA75eUR62WUOspOlxr8w0uv+2aj5Hcl1tNq0uwR2rZkbct8hI/P3rSpGVIZbHnZNlwY49Dag63BKQzrD9/UbhigZENLYxYKVxKfgu8o5VJYqnQYxGA+bPyBMKWPNsGXG7a1UzjS8S7BiNBsyfmQejwSAUsJZPn4C6C50hf79odh4WzZ4Ir9enOkhfc+NULPt0uvxQXVtCA1bJoToHDtWN1OXNtVtQsaIYH59xBNwo2Kxm+Hw+1aOvTvcA6ppdeKUqelkraVs1U+ki9YEr9zXhg+MX8dX1c6PetMnlvHm9PqHVxyfOXUVVmM5pUs1aAAxaicY5Bqw0JsWSm6eEXsqBKE1TcLoH8Nq79bhv7VzZKVfREdxwwSoAnDznxMlzTuTaLbhl0RTZYwvHajHhQpsbV919aLrYpWofWnK5B7DrUAs2b1oAuzU94HMGAE+/fATNV9S1mq1rEa+Fq6YMmWg94o7uQdnReLmcN5Gbqb9fMxsvvF0b9Vgi1awlovGDASuNObHk5oUTLvj1en2juXbzZ+Rgf01bxMcnqhyIFDz88cNz+MvBC7Lbv3/sEj44fkl2ylWrhVgu9wDe3n8eFrNRcVepP38kP4qdDNvfa8SWzatCzu+sKXbVASsUNBFTU4ZMaZArNxovd7MnNxJ7rbMfchkQkWrWEtH4wYCVxhS53DylLRzDBb8WsxGDQ96AuMIAID0oEMu1peNzi4swNOwNKV0UL8ca2vG+YLkhQHzKNZY6nMHMprSEtUGNt0jT8vfcXor3j11SvL88uwXlM3KxUyBAt2eaVY3cKw1ytVjFH20k9tW/1gvtI1zNWiIaPxiw0pghkpunZKFKpOA3XLDl+/TvV5QXYvHciXA4+7D3xKWAgumxjPKKiHS8IkSmXKWgY/eRFryxp1HtYaK7bwjLyibiSH1sC7n04lhDe0gwl56ehsWz83H83DVF+7pvXSnKp+cKpWB8bUNZxM+x1+vDmfNODDW5YDb4MLtowui2amrtatEBLdJIbGGOWFk20e2IaGxiQhCNGSK5edJoUSRerw91zS58VHMFL+0SG/nxd7jeASMMqNzXFHIs0ihvdb1D8X7liATr0UhTrnKMRgOybemqn0cyOYa2tXpzsLYtbNmomVPswvvItaWPjv5LKRjRVKwoxvLy8Dc+1fUOPLH1AH786lH89LVq/PjVo3hi64HRz53I/oPFswPamhunwSBz/2gwjGxHROMXA1YaM0RHgSJtJ13ot2w7hl/vrBVe+OLP5wNeqqqLus3ruxsiFnJXS3QhTTQ1TU6h7bQIXnw+H2wZ+pnguWPVDGxaXQJLeprix7p7h0Jugrxen3Db1Ek5Vjzz6GcDRt6lFIxce+B7bbeasXnTgojpG9Iou9zNUqT9hxPvRYMmkxEblxdH3UYqi0ZE45d+rhhEMRINpMJtF8t0erA+vy5J4bjcA9h5oAlfWj0r4O+VVjbwp8WU7bmLnaOlp6RjcXb3o7tnCPbMdOR+Grho0b71zx/JLwpLlKwME4wGQ0xtWYPf/7MtHcKlrdo6+nDmvBPu/qGA866064zH45WdFfBPiZH2v/NAU0DqSrBELBqUAvDgOqwGA1iHlYgAMGClMURtialYp9PVGAkQDKPF2WOtbKDFqGff4PCngdZQxMVV0jHFq32rltIMwJLSiTjV5Iy6yKun34O395+P6bmuXOsN+LOzu1/R43+248To//ufd9Fya9X1Dry8q152ViB4AZXRaMCXVs9C/+BwxGAxUT3E715Tirtunc1OV0QUFn8JxgAp7/Jg7RXUNbs0n25OFSK5eeFGi7SYTlejcl8THv8/+7FjT4PQNG40UrAeq2MN7WGPJfiYvD4ITykny7APqG64ituWTMWm1SXIimMKwp6jrQHfu+4e5ekkEqW5ztLsgFtl7dbqegd2HWoJKS0lVZCIR851JCaTERtWTMfXNpRhw4rpDFaJaBRHWFOc1jVHU12k8kvRSkxpMZ0uSTcZMOgRv2Ho6B4cLSsViWhXKi1GPT86HbmerL9fvVWDf7hzAX7yyM2jI2KT8jIxr2QiWts6ZQvBJ4rUVrViRTH+/+/egroLLmytrFHdiSqS7j4Pdh9pQbYtHTlZFtisYi1JoxE572pmB/xH47WurEFEFC8MWFOY1jVHx4rg3D+5ElNKp9MzPq23GlyH1QcoClZFydXBlPJNo1U/EGFNTxNeaObzAVsrTyMrwxQQ/OVPaEFRXmZMxxEPUtkuo8GgebAq8S/1pUXAKlL/VOnsQHBKjJLKGvFqLUxEJIIBa4riyEh0Uu5fdb0j7GIa/6B+SWmBbO6rPdOMe9bOQZ4tI6TT1cQJGag6dAGdMUwDy4lW2UCLYv7ASA6rUsHB37XOflzrVJa/mQhS2S4tSnKJUFNhIhy50X+lswP3fZoyU9fsQkfPAC5d7dHkOIiI4o0Ba4riyIg8r9eH3+yMPjUtBfVy0+lf31gWMFptNBpG20TWNbviGqwCgMPZF1JFwN03iK2Vp+P6vGOJo6MP0yeJ10bVA7nRf9HZAbvVjK9XlAEAnth6QPENTjzrsBIRiWDAmqJirTk6Hrzw9mnZFqBSUC/X7zxaakUi3uO/HGzGB8cvoqN7cPTv5IqtU6DCHKsmJbkSJVeg/qnI67FnmvGzRz+LE+euqspxjncdViIiEQxYU1QsNUfHA4/Hi8N1YqubpYBTad1LSSLe40GPF4N+wSqAkFXdFJnUKUlkcdqm1TNRkJOJDvcA3vzbOXii3/PEzeDQMI41tEe9WRJ5PQ99YR6MRoPq0m2JqMNKRCSHNUNSlEgZo/E8MrLnaCtE47mu7sHRkkRS7utN8yejfEau0IVa5FxkqOigRNrx75S0tKwQmzctCFkYlWe34LEvL8TUAhte330Wv9ubvGAVGMkPFilvFalrVV62BU8+uBzLywtVl26zWc1YUlqg+HFERFrjCGuKEhlZGc8jI46OPuFt39jTiKrDLapLgRmNBty7dk7UfNJv/o952Hv8knD7U9KGAcDGFYGdkqrrHXjjvcaAhVF2qxn3rB3ZRm8NESItnvR4vAFF9n/8rZvwyeWu0dmB+SV5yM+3weXqUZ220t03NK7z4IlIPxiwppDgRTdLSgtU512mOo/Hi7f2nsP5Sx2YmJ0R0hGnMMeqaH+xlAKTAqBw/M/Ftc5+BqwJYjEbsaysAA9WzAv4XByuawt7Y+HuG8LWyhpkWvQ3Eh5u8eSOPQ0hnam2v98Y0MbUP8CNJW1lPOfBE5F+MGBNEdEaBDyzeZXqHvSpSORivebGadj+fqPiPE+lpcAi1cKV3LP2+o3DmhunYfueRuFUBVIuK8OEzZsWonz69XQO6UbvaEM7dh9pjfr43gHlpb0+u3AS9tfIN1woK56A+pZOxfsHgF2HmkcD1h17GsI2m5A6UwEIGFEGxBZnRTJe8+CJSF+Yw5oCpKAoUuvOYw3tivMuk01tO1npYh2pjeSOPSMLS0wmIzYuL1Z8XNJolgiRWrjb32sYfW0jbSeVHxOJ6+n3wGgwjH4HqusdeGLrAWzZdkw2WFUjz27BgxXzhPLJn7jvRrzw+G0oV5FXfvKcEzv2NMDj8aLqcPTOaFWHW+AJSr4VaVscznjOgycifWHAqnMiQdHLVfUhFyg98w8iXni7Flu2HcMTWw/ILi5RerG+e00pKlYUKy7/JDoFqqQWruSeNaVYPCdf2QGRItL5i3Sjp6V71pbCZDLKBoNSPvmJc1dRp7IjWdXhFlQdbpadNZCaJASLtDgrmvGcB09E+sKAVedEgiJ37xD+6b/2yQZ8eiA3WhztNew52qr4Yn33mlI8//3bcO+aOVhSOlHoGEWnQNXWwv3uV27AI3fOD6kcIK1Sr+AobEykJgsvvlMX9+f6v3+uxdv7PhnNJw9Zqf/pOV1aVih08xmNzwdU/i20a1s4kRYdLi0rxDObV2HT6pKoj7dlmMZta2ci0ifmsOqcaFAklcDR80Um1nayoiv/g7cbmYqfjhybBccarkZ9rMEAzJk6Qeh5RANbqWyW/2taOW8ylpdNipJ7HH0kmSKr3NeES1e7Q9rGxsPAkBeV+87j3SOtWL+sGH932yx09wzBnpk+WvhfOqdqS0v5GxacSJFbdLj3xKWo/242p7GcFRHpCgNWnVO64OGld+oULRpKpFjbyYqu/A+3ndfrw4u75EfcfD6g8WKnUBkf0YUskcpmSTVfg48zllE4GnGorj2hz9fT70Hlvuujn9KCSP/vYaJW20tNEiIR+R66onwPg6uVjPVFnkSkD0wJ0DmRovT+uvs9qGt2Bfyd2gVOWvF6fahtcuLdI2KjhpEu7GtunCabjxrpYr3zQBP6B8VWgIsGFlL9VREiKQ+ANqNwlHzhzneiVtv7N0kIJ5a2zmrzz4mIYsURVp0TaRAQrPaCE0ajAR09A3A4e/HB8UsBPeil0Z9EpA5U1zvw4jt1iqZnI13YpZX/4Ur6SIIv1l6vD3UXXHjn4wvCz3/pag/qml2jI0fBBdqlmq/V9Q68vKteeL/AyAK5Ac8w8mwZYUemWPMyPIMhNVvR+qe4xFJaSoTBgIDSbpGobescqYRbLDWMiYhEMWBNAdLq3v/+8xmhUcI9Ry7iLx9FDtC0vsBEmiKUq1EajlwZHeliHFyHNdzFOlztWhE7DzRj54Fm5NotmDHJhhPnroXUfL1hdj6ON15TtF9gZIHcb/50BkD4G4exXPNyUm4G2lz9qh6bisEqEJjiInLzuXhOPk40XlNVq3fNkqlYNHtiSL50MJHAOfh7GGv+ORFRrBiwpoilZYWwmNPwnztOyG7bPyQ29a3FBSZSQ4N715Zi2+6zivcnUkbn7jWluHtNKQ7UOkI6XUnB87GGdrwbY91Nl3sg7EXd54OqYDXc/oNvHOI9CpdMaoJVu9WMHHs6Whw9cTiixKg978ScqRPQeLETQ8NebFpdgr0nLkXsTjc4OIx//K99wikskveOXsR7Ry+O3gitXDA57HZq2jrHmn9ORBQrBqwppHx6LgyAZp2SYr3ARJsi3FqpfGQ1uJ3s4OAwtr/fgDZXHyblWnHP7aVI/7QUlMlkxJ2fmw2Xq2e07qraEdVk879xMBoNmDHJlnKvQUsVK4rR3tGH+gsdcPcNwd03lOxDisnOj5rx54OB9VNzbOnYtHomCvMyQxYupaen4Zv/Y57i2QmJdCN06VovZhfnwmzwYXbRhIAAdGlZISpWFEecqQieeYkl75WISAsMWFNI48VOzdt6Orv7UdfsUrziV8vV7HesmoFNq2cFPO8vf38iYBSz9rwL7x+7hNlF2Vi7bBpy7Rmwt/fiYlsX7FYzOnsH8PxbtZocT6JJNw5zi3NQ2+TECQ1Gb1NZtBxlpdKMBgz7LTLMs1twz9o5eOO9xoTeFASnNHR0D6Jy33k89uWFYW8YpTQgpfnf/t788JPR/w9OP6mud0Rt7zp76gRVqSpjOaWFiJKLAWsKicfoxfbdjQEjWKILsrRczT5/Rl7UYNXfuUtdOPd2agam0bxX3Yrn3jyVkNqh48mw1wdruhGrFxVhSWnB6A2Z0WBQPYKppWhpOUtKC/D67gZNPhP+6SfSfpUcl5q8VyIiLbGsVQqJx+hF8HSraPklrYLn3KCL3ODgsCb5oamm+mw7g9U46Rv04t0jrTh61oGzLR3wen1YWlaIzZsWwm41J/XYglv3+otHibNtuxtQd8GluKWwlPcaDdu4ElE8cYQ1hSRyQY7cgiytgufPLpyMyr99AhiA8uJcHK5r02S/RMF2V1/E7uqLyLGl46b5k/DxGUfADZvFnIYBwQWLWop08xePGRWneyCkTnMkwc8vpSkE54mHyz8nItIaA9YUoqYmazh2q1l2IYvcgix332DYv1dq50fN1/8fzVG2JNJGR/dg2PzNZASrAHCpPbDuLzCSI97Vrc13LITgIGi4m9KlZYVYUlrATldElHAMWMeYihXF+PiMI6TM1OduKEJhnhU5WSMjtL/eKZ8HGmmEx+Px4pUq5SWriCjUzo+asfOj5tH8cQBxrXZRXpyL/fYrqvNRw7UUJiKKNwasKURkZf6hMw785JGb0XixM+IIiOiUYHZmekgFgWMN7Xh5Vz26U7zUEJHeSPnj8ZRnt6B8Rq7iOqxERMnGgFWHInWOEi3e3XixM+oIiEgurM1qxq//dBqdPdcDU2u6EX2DXuUviGicsVnNATd1WreWDd6/KCkQZT4qEaUaBqw6E6lz1P3rSjHgEcuxc3ZH7ygkkgsb7mLIYJVInt1qxj1r5qC7bwi2LDPybBmjna5qm53YeSC2XO1718yBPTNdKK1HEi4QZT4qEaUSBqw6Eq1z1HNv1uDmBZOE9tPpjrxYw+v1oa7ZheY2N5bOLUB9S0dAcJprt6C3fwgDQwxOidRw9w3hN38+A2Dk+3T3mjnYc7QVjo4+9GpQuizbli5cpePudXMxe7ItpNOVhPmoRJQqGLDqhEh+anV9u9C+LrS5IzzeEbZzTobZiFtuGCms7vF48Z+/OyF20EQUlcs9gOffOq3pPqWRUNlC/tkW3L+xHF2dvaPti4mIUhUbB+iESH7qoOBF52rXSLvVg7VXUNfsgtfrGx29DVecvn9opLB6T/8Qzl7sUHP4RJQA0up9kUL+X91QhjRO7xPRGMERVp041iA2eiqi+YobW7YdG/2zzWrGoECNydd3N2DVgsmaHQcRact/9b7cwqnl5Vw4RURjBwNWHaiud+DdI62a7c8zHLgcWXQ1scs9gMaLYiWviChxIq3e58IpIhovGLAmmUjuqkRtKRsl6lu6YE4zYmiYOW9EyXTHqhkompglG4RGWjjl9fpwqvEqWi53wm41M5AlopTGgDXJRHJXJeXTc3BEcOFVLBisEiXf/Bl5qlfwV9c7sG13A5xhyuOxxioRpSIuukowqayUtCBKrmaqZP2yaZicnxnno7vObDIiIz0tYc9HRNdFa40qR1pg6Qy6EZbK41XXOzQ4QiKixOIIqwYidaYK3mbngaZPV+NfX6lvt5qFnkMqOQXEVnRc1JDHCzZfJUoOta1RRVKMtu1uwJLSAqYHEFFKYcAao2idqaSpt0j1T4GRIuNypNGW2vNO7Q6ciGQV5GSgvUNsFkQNAwD/JZKxtkYVbd98tqWDDQOIKKUwYI2BXGeqx768EACitkAVIY22nG3tiGk/RCRGChwr/9ak6vF33DwDLvcA9tdcibqdDyOtVqXuVbEujOroEcuHF92OiEgvGLCqJDL19vruBvh8vqjbRGMwAP9w54Lroy3qd0VEAu64eQbmz8wbDRz3n7qMi1d7FO+nqCALRQVZsgErMNJq9ab52tQ/Fm3ZKrodEZFe6HbRldPpxPe//3386Ec/wu7du5N9OCFEpt5c7gF0dA+qfg6fD7Bb00f/LDqF98VVM6P+e8WKYlSsKIboOM6m1SXItfMCR2Nbnt2CTbfMQvmM3NFRzv91xwJV+8rJsiQleJRatkYTy4IuIqJk0e0I68svv4yHH34Y8+bNw+bNm7Fu3TpV+zGZYo/J09KMAf8FxHJPteDuGxp9DQtn5cvWYrVZzfi722ZjZlE2XquqD1gpbM8048GKcqyYPwkA8JXb5uA7v/gQfYORu2DlZVuw6dZZ2HTrLNRfcOHo2XbsPX4J/VEeowdGA+DliPSYkJGelpDP21c3liE9qDKGzZaOkinZaLrcJbyfvGwL5pfkjfy/3RKyWj/ctlougPraxjI8+/uTEf893OukxAh3LaHk4flILboNWK9du4ZJkybFtA+j0YDc3CyNjgjIzraO/n/xlAma7Tea4ikTAl7Dd+5ejB+/dDji9t+5ezHy823YcLMNa1fORO0n1+Ds6kdedgbmz8oP6S3+j/fdGHV/j3x5EfLzbQCAVfk2rFpSjM1/vwQ7dtfjD+83YkBlIHHzZybj+Nmr6BsIXYgWq4k5VnzzSwvwk5ePaL5v0s5nbyjC/hOXIv77snmTcNdtczB/Vj5e/vNpVO49F/NNiD0zHT740N17/aZvYo4V37pzIVYtKgr7mF8+fju+94sP0NDSKfQc/t+ZR+5aJPz90sqGm0tgy7LghcpTuNZ5fcGY3OukxPG/llDy8XykBoMvliTLOHruueewdu1alJeXY/Pmzdi6davifQwPe9HV1RfzsaSlGZGdbUVXVx+GPy2q7/X68L1n98mOnvi8PrhUpgXkZVvwn99eHTL6crjOgVer6gP7h2db8NUNZar6hx+uc4SMxorsz+v14e19n6DqUEtgqa5MM1YtnIzMDDM+ONoa8Pr993u4zhF1JEit73xl0ej+X9lVF1Nahj+DYSRNIx6yMkwh7+FnF03BvhOX497dTK27bi1BT78HB2quwN0rfozBn4Hgz3LwTIDE4/Fi95EWODr6UJhjxYRsC7a/2xDyub1v/VxkW83o6B5EdqYZMBjQ1TOIHFs6yqaPpNXUX3Cho/v634mMcPb3e/Crt2rg6OiDyWSEs6MXXX3Xb9gifWfUfr9iZTAY0HK1FxfbupCdaRZ+nRQ/4a4llDw8H/qQnW0VGuXWbcDqcDjwzDPPwGQyYcOGDbj99tsV72N42AunU/mCiWAmkxG5uVlwuXo+rYU6IlKVAEmsVQIe+/LCiOVtRGq/KhHL/qI9Vm6/4cqCBZf6yUhPg88HDAxdDw5sVjNgQMBIWbiSQP7Pb88wo6W9G1c7+zEwOIza8y64ugMDpRXzC1GQbYU9Mx0TstIBA9DVO4icLAvmTJ2AxoudcLkHUHveiaNnHegbjPwjl2u3YFJOBpquuDEwFH476Zgj9YP3en2ou+BCXbMLtc1OfHLJLXs+oqlYUYyPzzgC3u8JmSYUF9rhBVCYY8XiORPRO+hBTpYFXT2DeO3dswEpMMHvs/Qed/UOYtALOK5141pHP3KzLbBZzbBlmdHb64E9Mx259tDPQLw+e/Gm5LmTcZyRfrcoeXhO9IXnQx/y8rJSO2DVQrwDViB8wBV8QQ+3TVaGCeuXFWPKxEy88V5j1MePdcEXcykw9L+4AwjYZn5JHnJys/DxiVZc6+pXFQTEGkSIHLcUdErbZVsDg2Clz+nxeLHnaOvoKGOOzYLt7wd+fmxWM3w+X8CIrf9nSunrFt2eP/76wvOhPzwn+sLzoQ8MWJGYgBUQ73SldhSSQvGH5rpwnx8AHNEb53g+9IfnRF94PvRBNGDV7aKrVGI0GmRLTkXbRuTxRJFE+vzwM0VERGMFazkQERERka4xYCUiIiIiXWPASkRERES6xoCViIiIiHSNASsRERER6RoDViIiIiLSNQasRERERKRrDFiJiIiISNcYsBIRERGRrjFgJSIiIiJdY8BKRERERLrGgJWIiIiIdI0BKxERERHpGgNWIiIiItI1BqxEREREpGsMWImIiIhI1xiwEhEREZGuMWAlIiIiIl1jwEpEREREusaAlYiIiIh0zeDz+XzJPoh48fl88Hq1eXlpaUYMD3s12Rdpg+dEf3hO9IXnQ394TvSF5yP5jEYDDAaD7HZjOmAlIiIiotTHlAAiIiIi0jUGrERERESkawxYiYiIiEjXGLASERERka4xYCUiIiIiXWPASkRERES6xoCViIiIiHSNASsRERER6RoDViIiIiLSNQasRERERKRrDFiJiIiISNcYsBIRERGRrjFgJSIiIiJdMyX7APTO6XTiP/7jP2C1WnHbbbdh3bp1yT6kMe3IkSPYsWMHDAYDVqxYgVOnTsFsNmPChAn49re/jZdeegnNzc3o6+vDU089hePHj+OPf/wjhoeH8Z3vfAc2m43nKw6Gh4fx0EMP4cknn8SOHTt4TpKspaUFW7duRXZ2NoqLi9HQ0MBzkkSnT5/Ga6+9BgBYunQpf7eSrLa2Fj/72c/wm9/8Bk899VRM52Lt2rUh+6DkYMAq4+WXX8bDDz+MefPmYfPmzfwhiTO3242nnnoKFosFK1euxGOPPYaHHnoI//Iv/4LLly+juroav/zlL/Hmm2/igw8+QGVlJZ599llcuXIFv/3tb2Gz2Xi+4uBXv/oVCgsLcfDgQcycOZPnJMlefPFFTJkyBQ6HAwMDAzwnSVZbW4u6ujpkZ2ejqKiI5yOJWlpa8MEHH8BkMmnye5WVlRWwD6fTiby8vGS/zHGJAauMa9euYdKkSck+jHHj9ttvh9frxc9+9jP867/+K8xmMwCgoKAAra2tyM/PBwAUFhaiqakJBoMBaWlpKCwsHL1483xpq6qqCqWlpfB6vRgcHMSMGTMA8Jwk0/nz5/H9738fJSUlWLx4MX7xi18A4DlJltLSUrz22msYHh7GsmXL8POf/xwAz0cyFBcX49FHH8Wjjz6Kq1evjr6vas9F8D6uXr3KgDVJmMMqY/LkyXA4HMk+jHHD7XbjRz/6ETZu3IiioiK0t7cDABwOB0pKStDZ2Tn658LCQpjNZni93tE/83xpr6qqCvv27cP777+P/fv385zoQEFBAaxWKzIyMnDTTTfxnCTZCy+8gOHhYWRmZmLlypU8HzoxZcqUmM9F8D4KCgoS/0IIAGDw+Xy+ZB+EnjkcDjzzzDMwmUzYsGEDbr/99mQf0pj25JNPorW1FZMmTcKUKVPQ2dkJs9mMiRMnYvPmzXjxxRfR0tKC3t5ePP300zh8+DDefvtt9PX14Qc/+AFMJhPPV5w8++yzWLt2Ld544w2ekyRraGjAs88+i9zcXGzYsAFVVVU8J0m0d+9e/O53v4PdbkdFRQXee+89no8ke/TRR/Hcc8/h3/7t32I6F7fddlvIPig5GLASERERka4xJYCIiIiIdI0BKxERERHpGgNWIiIiItI1BqxEREREpGsMWImIiIhI1xiwEhElyccff4xnn3022YdBRKR7DFiJiIiISNfYmpWIKIkOHTqERx99FH19fQCA559/Hm1tbfjhD3+I/v5+PPDAA1i/fj3+6Z/+CT09PfjMZz6DJ598Et/4xjdgt9tx+fJlfOELX8CuXbuwatUqfPe738VPfvITnDp1Crm5udiyZQusVmuSXyURUWw4wkpElGQWiwW//e1vUVxcjJqaGrz00kv453/+Z+zYsQOXLl3C9u3b8cUvfhGvv/46ent7cfLkSVy+fBn//u//joqKCnR1deH111/HgQMHUFtbi56eHrz66qv4/Oc/jz/84Q/JfnlERDFjwEpElGQlJSUAgIKCAgwNDaG5uRnl5eUwmUx47LHHcOHCBSxcuBAAsGDBAly4cAH5+fmYMGECcnJyMG3aNBiNRpjNZpw/fx4ff/wxHnjgAbz88sujfdCJiFIZA1YioiQzGAwBfy4qKkJ9fT18Ph8ef/xxTJs2DTU1NQCAmpoaFBUVhTxGMm3aNKxbtw6vvPIKHn/8cSxbtizux09EFG8MWImIdObhhx/Gli1bcO+992L16tW45557sHPnTtx7772w2Wy48cYbIz520aJF8Hg8+NrXvoaf/vSnmDVrVgKPnIgoPgw+n8+X7IMgIiIiIoqEI6xEREREpGsMWImIiIhI1xiwEhEREZGuMWAlIiIiIl1jwEpEREREusaAlYiIiIh0jQErEREREekaA1YiIiIi0jUGrERERESkawxYiYiIiEjXGLASERERka79P69ZEmTt9TV3AAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Plot illustrating the effect of income on spending\n", "plt.figure(figsize=(8, 8))\n", "plt.scatter(df['income'], df['spending'])\n", "plt.title('Income vs. Spending')\n", "plt.xlabel('Income')\n", "plt.ylabel('Spending')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 97, "id": "ed912614-9c3d-41d1-99da-021cffec972f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 97, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Plot illustrating negative effect of having dependents (kids & teens) on spending\n", "plt.figure(figsize=(4,4))\n", "sns.boxplot(x='dependents', y='spending', data=df)" ] }, { "cell_type": "code", "execution_count": 98, "id": "a76ecc96-adf0-4add-bf4a-5c941ea86ac1", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Plot illustrating positive effect of having dependents (kids & teens) on number of deals purchased\n", "plt.figure(figsize=(4,4))\n", "sns.boxplot(x='dependents', y='numdealspurchases', data=df);" ] }, { "cell_type": "code", "execution_count": null, "id": "8ae24e86-ac39-4770-9648-9cda8868517c", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 99, "id": "9ff11f13-0528-4837-a7b3-9d227b18efaf", "metadata": {}, "outputs": [], "source": [ "#REMOVING SPENDING AND TOTAL PURCHASE to check Multicolinearity" ] }, { "cell_type": "code", "execution_count": 100, "id": "b7a5c1c0-a8a3-4e8b-8436-58c8833918a8", "metadata": {}, "outputs": [], "source": [ "corr_de = df_num.drop(['spending', 'total_purchases'], axis=1)" ] }, { "cell_type": "code", "execution_count": 101, "id": "37061841-3304-4b75-9163-d3db9e4c4d3b", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(40,30) )\n", "heatmap = sns.heatmap(corr_de.corr(), vmin=-1, vmax=1, annot=True, cmap='BrBG')" ] }, { "cell_type": "markdown", "id": "2ae041bf-f87b-4d66-a5ed-7c17a0d39f5e", "metadata": {}, "source": [ "## Segmentation of Customers" ] }, { "cell_type": "markdown", "id": "81e2bc53-63df-4f8d-96c0-d9a7f255919b", "metadata": {}, "source": [ "### Choosing columsn for segmentation" ] }, { "cell_type": "markdown", "id": "e90d8969-1b9a-478a-8b02-3651c73724f2", "metadata": {}, "source": [ "I choose the spending and income variables because they provide interesting information for the segmentation. " ] }, { "cell_type": "code", "execution_count": null, "id": "5843a239-2c28-435f-bd16-32a310238c83", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 136, "id": "c9a84ff6-49fb-4f61-be5e-b97ffaee7515", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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idincomerecencymntwinesmntfruitsmntmeatproductsmntfishproductsmntsweetproductsmntgoldprodsnumdealspurchasesnumwebpurchasesnumcatalogpurchasesnumstorepurchasesnumwebvisitsmonthagespendingdependentsyear_customertotal_purchasestotal_campaigns_acc
0182684835.001891043791111892181446153119002014151.0
1157091.0046456470371737562577020141811.0
\n", "
" ], "text/plain": [ " id income recency mntwines mntfruits mntmeatproducts \\\n", "0 1826 84835.0 0 189 104 379 \n", "1 1 57091.0 0 464 5 64 \n", "\n", " mntfishproducts mntsweetproducts mntgoldprods numdealspurchases \\\n", "0 111 189 218 1 \n", "1 7 0 37 1 \n", "\n", " numwebpurchases numcatalogpurchases numstorepurchases numwebvisitsmonth \\\n", "0 4 4 6 1 \n", "1 7 3 7 5 \n", "\n", " age spending dependents year_customer total_purchases \\\n", "0 53 1190 0 2014 15 \n", "1 62 577 0 2014 18 \n", "\n", " total_campaigns_acc \n", "0 1.0 \n", "1 11.0 " ] }, "execution_count": 136, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_num.head(2)" ] }, { "cell_type": "code", "execution_count": 137, "id": "0a4e4e43-7cb2-4b16-9166-a664d1e543a3", "metadata": {}, "outputs": [], "source": [ "cluster = df_num.iloc[:,[1,15,]]\n", "\n", "#income\n", "#recency, mntwines\tmntfruits\tmntmeatproducts\tmntfishproducts\tmntsweetproducts\tmntgoldprods\tnumdealspurchases\tnumwebpurchases\tnumcatalogpurchases\tnumstorepurchases numwebvisitsmonth\tage\tspending,total_purchases" ] }, { "cell_type": "code", "execution_count": 135, "id": "cd8017d6-0b27-44ec-93e3-6c1563d164e1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1" ] }, "execution_count": 135, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cluster" ] }, { "cell_type": "code", "execution_count": null, "id": "8d3c197c-4592-4bab-80d8-cdf45587726f", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "91e34dea-9746-48fc-8fc6-8a2d077f502d", "metadata": {}, "source": [ "Standardizing numerical data with standard scaler" ] }, { "cell_type": "code", "execution_count": 105, "id": "ae8005de-02d9-459e-a2fd-d42e2fe5040f", "metadata": {}, "outputs": [], "source": [ "#scaler = StandardScaler()\n", "\n", "#cluster_encoded = scaler.fit_transform(cluster)" ] }, { "cell_type": "code", "execution_count": 106, "id": "7113198f-7b30-41f6-85e6-6290edb7d64e", "metadata": {}, "outputs": [], "source": [ "#cluster_encoded " ] }, { "cell_type": "code", "execution_count": 138, "id": "6cec8553-e929-41eb-9651-9aaee743a4b1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[0.74198243, 0.4702381 ],\n", " [0.49427699, 0.22698413],\n", " [0.58513089, 0.09761905],\n", " ...,\n", " [0.3980215 , 0.12063492],\n", " [0.57220278, 0.5468254 ],\n", " [0.83158637, 0.42579365]])" ] }, "execution_count": 138, "metadata": {}, "output_type": "execute_result" } ], "source": [ "scaler = MinMaxScaler()\n", "cluster_encoded= scaler.fit_transform(cluster)\n", "cluster_encoded" ] }, { "cell_type": "code", "execution_count": 108, "id": "2334a1b8-dcb8-493a-9472-94fbe281fec0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(2229, 2)" ] }, "execution_count": 108, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cluster_encoded.shape" ] }, { "cell_type": "markdown", "id": "f475ec62-6a80-4f87-8aa5-b29854ddf108", "metadata": {}, "source": [ "Choosing the number of clusters\n", "WCSS -> Within Clusters Sum of Squares" ] }, { "cell_type": "code", "execution_count": 109, "id": "630eba5c-4b26-4449-a32e-cb7e2d4263de", "metadata": {}, "outputs": [], "source": [ "## finding wcss value for different number of clusters\n", "\n", "wcss = []\n", "\n", "for i in range(1,11):\n", " kmeans = KMeans(n_clusters=i, init='k-means++', random_state=42)\n", " kmeans.fit(cluster_encoded)\n", "\n", " wcss.append(kmeans.inertia_)" ] }, { "cell_type": "code", "execution_count": 110, "id": "a4f95c44-6cb3-454f-9c08-450f8d25744e", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot an elbow graph\n", "\n", "sns.set()\n", "plt.plot(range(1,11), wcss)\n", "plt.title('The Elbow Point Graph')\n", "plt.xlabel('Number of Clusters')\n", "plt.ylabel('WCSS')\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "1c7d0f54-a774-4ca8-b41f-e9d6f37f1cca", "metadata": {}, "source": [ "Optimum Number of Clusters = 4 \n", "Training the k-Means Clustering Model" ] }, { "cell_type": "code", "execution_count": 111, "id": "26ab89ff-7522-490d-a461-d521d98ec520", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[3 2 2 ... 2 3 3]\n" ] } ], "source": [ "from sklearn.cluster import KMeans\n", "kmeans = KMeans(n_clusters=4, init='k-means++', random_state=42)\n", "\n", "# return a label for each data point based on their cluster\n", "Y = kmeans.fit_predict(cluster_encoded)\n", "\n", "print(Y)" ] }, { "cell_type": "code", "execution_count": 112, "id": "2c0368a4-6254-4232-804a-7713a4e3e4b6", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Visualization\n", "plt.figure(figsize=(8,8))\n", "plt.scatter(cluster_encoded[Y==0,0 ], cluster_encoded[Y==0,1 ], s=50, c='green', label='Cluster 1')\n", "plt.scatter(cluster_encoded[Y==1,0 ], cluster_encoded[Y==1,1 ], s=50, c='red', label='Cluster 2')\n", "plt.scatter(cluster_encoded[Y==2,0 ], cluster_encoded[Y==2,1 ], s=50, c='yellow', label='Cluster 3')\n", "plt.scatter(cluster_encoded[Y==3,0 ], cluster_encoded[Y==3,1 ], s=50, c='blue', label='Cluster 4')\n", " \n", "\n", "plt.scatter(kmeans.cluster_centers_[:,0], kmeans.cluster_centers_[:,1], s=100, c='cyan', label='Centroids')\n", "\n", "\n", "\n", "\n", "# Configura las etiquetas de los ejes y el título de la gráfica\n", "plt.ylabel('Spending')\n", "plt.xlabel('Income')\n", "plt.title('Customers Groups')\n", "\n", "# Muestra la gráfica\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 113, "id": "b906da86-8954-4658-bf59-f48ac1a0ca28", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([3, 2, 2, ..., 2, 3, 3])" ] }, "execution_count": 113, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kmeans.labels_" ] }, { "cell_type": "code", "execution_count": 114, "id": "2f25c6a1-a6f9-4ff6-aabd-3297703fbf1c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[0.2744902 , 0.00238095],\n", " [0.17627942, 0.03412698],\n", " [0.22447413, 0.0265873 ],\n", " ...,\n", " [0.16427985, 0.01150794],\n", " [0.16427985, 0.01150794],\n", " [0.26182993, 0.01984127]])" ] }, "execution_count": 114, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cluster_1_data = cluster_encoded[Y == 0]\n", "cluster_1_data" ] }, { "cell_type": "code", "execution_count": null, "id": "c5683d9f-59b8-47f1-a436-b42512269e5d", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "3bedabe5-bb28-4c01-bcdc-91411bd3e6da", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 115, "id": "f3e18f5d-ee45-4dc9-8c14-8f44167a35fc", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "# Aplica K-means para obtener los clusters\n", "kmeans = KMeans(n_clusters=4, random_state=42)\n", "kmeans.fit(cluster_encoded)\n", "\n", "# Obtiene las etiquetas asignadas a cada cliente\n", "labels = kmeans.labels_\n", "\n", "# Cuenta la cantidad de clientes en cada cluster\n", "conteo_clientes = pd.Series(labels).value_counts()\n", "\n", "# Grafica los grupos de clientes por ingresos y gastos\n", "plt.figure(figsize=(8, 8))\n", "plt.scatter(cluster_encoded[:, 0], cluster_encoded[:, 1], c=labels, cmap='viridis')\n", "\n", "# Grafica los centroides de los clusters\n", "plt.scatter(kmeans.cluster_centers_[:, 0], kmeans.cluster_centers_[:, 1], s=100, c='red', label='Centroids')\n", "\n", "# Configura las etiquetas de los ejes y el título de la gráfica\n", "plt.xlabel('Income')\n", "plt.ylabel('Spending')\n", "plt.title('Customers Groups')\n", "\n", "\n", "\n", "# Muestra la cantidad de clientes en cada cluster\n", "for cluster, count in conteo_clientes.items():\n", " centroid = kmeans.cluster_centers_[cluster]\n", " plt.text(centroid[0], centroid[1], f'{count}', fontsize=12, color='black', ha='center')\n", "\n", "# Muestra la gráfica\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "f5e2466e-d547-492d-94de-4991f4cd6dea", "metadata": {}, "source": [ "I create a copy of the original dataframe and assign the labels to it to be able to filter the rows for each label and analyze the customer groups\n" ] }, { "cell_type": "code", "execution_count": 139, "id": "bb4d4165-58f6-46cc-85b3-b3facfa1faab", "metadata": {}, "outputs": [], "source": [ "cluster2 = cluster.copy()" ] }, { "cell_type": "code", "execution_count": 140, "id": "ca77bacf-d4dc-4f8e-842c-58ac1f969713", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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incomespendingcluster_labels
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" ], "text/plain": [ " income spending cluster_labels\n", "0 84835.0 1190 3\n", "1 57091.0 577 2\n", "2 67267.0 251 2\n", "3 32474.0 11 0\n", "4 21474.0 91 0\n", "... ... ... ...\n", "2232 66476.0 689 3\n", "2233 31056.0 55 0\n", "2234 46310.0 309 2\n", "2235 65819.0 1383 3\n", "2236 94871.0 1078 3\n", "\n", "[2229 rows x 3 columns]" ] }, "execution_count": 140, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cluster2['cluster_labels'] = kmeans.labels_\n", "cluster2" ] }, { "cell_type": "code", "execution_count": 141, "id": "b385821e-9f62-496b-899d-63172da9543c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cluster 0:\n", " income spending cluster_labels\n", "3 32474.0 11 0\n", "4 21474.0 91 0\n", "13 26872.0 72 0\n", "14 4428.0 359 0\n", "17 32173.0 22 0\n", "... ... ... ...\n", "2220 7500.0 100 0\n", "2226 42231.0 37 0\n", "2227 20130.0 34 0\n", "2228 20130.0 34 0\n", "2233 31056.0 55 0\n", "\n", "[736 rows x 3 columns]\n", "\n", "Cluster 1:\n", " income spending cluster_labels\n", "31 79529.0 1638 1\n", "35 95169.0 1901 1\n", "38 84865.0 1688 1\n", "41 66465.0 1485 1\n", "45 64260.0 1574 1\n", "... ... ... ...\n", "2205 84906.0 1631 1\n", "2206 84906.0 1631 1\n", "2210 90687.0 1779 1\n", "2216 83273.0 1392 1\n", "2217 81702.0 1633 1\n", "\n", "[334 rows x 3 columns]\n", "\n", "Cluster 2:\n", " income spending cluster_labels\n", "1 57091.0 577 2\n", "2 67267.0 251 2\n", "7 44931.0 96 2\n", "8 65324.0 544 2\n", "9 65324.0 544 2\n", "... ... ... ...\n", "2222 44794.0 65 2\n", "2223 44794.0 65 2\n", "2229 42429.0 67 2\n", "2230 42429.0 67 2\n", "2234 46310.0 309 2\n", "\n", "[612 rows x 3 columns]\n", "\n", "Cluster 3:\n", " income spending cluster_labels\n", "0 84835.0 1190 3\n", "5 71691.0 1192 3\n", "6 63564.0 1215 3\n", "10 81044.0 1208 3\n", "12 67786.0 1156 3\n", "... ... ... ...\n", "2225 62568.0 953 3\n", "2231 78901.0 734 3\n", "2232 66476.0 689 3\n", "2235 65819.0 1383 3\n", "2236 94871.0 1078 3\n", "\n", "[547 rows x 3 columns]\n" ] } ], "source": [ "# Filtrar las filas por los valores de cluster_labels\n", "cluster_0 = cluster2.loc[cluster2['cluster_labels'] == 0]\n", "cluster_1 = cluster2.loc[cluster2['cluster_labels'] == 1]\n", "cluster_2 = cluster2.loc[cluster2['cluster_labels'] == 2]\n", "cluster_3 = cluster2.loc[cluster2['cluster_labels'] == 3]\n", "\n", "# Imprimir los resultados\n", "print(\"Cluster 0:\")\n", "print(cluster_0)\n", "print()\n", "\n", "print(\"Cluster 1:\")\n", "print(cluster_1)\n", "print()\n", "\n", "print(\"Cluster 2:\")\n", "print(cluster_2)\n", "print()\n", "\n", "print(\"Cluster 3:\")\n", "print(cluster_3)" ] }, { "cell_type": "code", "execution_count": 142, "id": "5f8b0bbd-3d74-4b94-badf-3376c725e31a", "metadata": {}, "outputs": [], "source": [ "\n", "#Converting clusters to dataframe\n", "\n", "cluster_0_df = pd.DataFrame(cluster_0)\n", "cluster_1_df = pd.DataFrame(cluster_1)\n", "cluster_2_df = pd.DataFrame(cluster_2)\n", "cluster_3_df = pd.DataFrame(cluster_3)" ] }, { "cell_type": "code", "execution_count": 143, "id": "512ad91f-06eb-4afd-8356-b9e1f293f8af", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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incomespendingcluster_labels
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" ], "text/plain": [ " income spending cluster_labels\n", "3 32474.0 11 0\n", "4 21474.0 91 0\n", "13 26872.0 72 0\n", "14 4428.0 359 0\n", "17 32173.0 22 0\n", "... ... ... ...\n", "2220 7500.0 100 0\n", "2226 42231.0 37 0\n", "2227 20130.0 34 0\n", "2228 20130.0 34 0\n", "2233 31056.0 55 0\n", "\n", "[736 rows x 3 columns]" ] }, "execution_count": 143, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cluster_0_df" ] }, { "cell_type": "code", "execution_count": 144, "id": "eb732094-ed89-4c02-bcc8-f4b0624a0270", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(736, 3)" ] }, "execution_count": 144, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cluster_0_df.shape" ] }, { "cell_type": "code", "execution_count": 145, "id": "09129078-0602-4e42-b11e-54a55a051f7c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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incomespendingcluster_labels
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mean28541.34375072.8804350.0
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" ], "text/plain": [ " income spending cluster_labels\n", "count 736.000000 736.000000 736.0\n", "mean 28541.343750 72.880435 0.0\n", "std 8635.690514 69.255511 0.0\n", "min 1730.000000 5.000000 0.0\n", "25% 22678.750000 32.000000 0.0\n", "50% 29968.500000 53.500000 0.0\n", "75% 35528.250000 84.000000 0.0\n", "max 43269.000000 570.000000 0.0" ] }, "execution_count": 145, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cluster_0_df.describe()" ] }, { "cell_type": "markdown", "id": "21759464-3a66-495d-944d-a4353d083ed7", "metadata": {}, "source": [ "## As a data analyst, looking at the Cluster 1 of customer segmentation, cluster_0_df, we can make the following conclusions: \n", "\n", "- Cluster size: 736 clients. \n", "\n", "- Average income: The average income of clients in this cluster is approximately 28,541$ \n", "\n", "- Average expenses: Clients in this cluster have an average expense of around 72.88$. \n", "\n", "- Variability: There is considerable variability in the income and expenses of clients in this cluster, as indicated by the standard deviation. This suggests that there are clients with different levels of income and expenses within the cluster. \n", "\n", "- Range of income and expenses: The range of income goes from 1,730$ to 43,269$, while the range of expenses goes from 5$ to 570$ monetary units. \n", "\n", "- Distribution of income and expenses: The median (central value) of income is approximately 29,968$, which means that half of the clients have incomes above this value and the other half have incomes below this value. The median of the expenses is approximately 53$. \n", "\n", "- Low Spend Segment: This cluster can be considered as a segment of customers with low spending levels, since the average spend is relatively low compared to the other clusters. \n", "\n", "- With these conclusions, we can infer that this group of clients has relatively low income and expenses compared to the other clusters. This may indicate a customer profile with lower spending capacity or more conservative consumption preferences. These observations can be useful for the marketing team in targeting their strategies and campaigns more effectively towards this customer segment, for example, by offering affordable products or services and promotions tailored to their level of spending. " ] }, { "cell_type": "markdown", "id": "1cdc3c19-e122-4160-9982-56b5637daaed", "metadata": {}, "source": [ "## CLUSTER 2 CONCLUSIONS" ] }, { "cell_type": "code", "execution_count": 146, "id": "09b68d4c-bb86-4cce-80c4-9f34cadbd289", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(334, 3)" ] }, "execution_count": 146, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cluster_1_df.shape" ] }, { "cell_type": "code", "execution_count": 147, "id": "bbef0dbf-afa8-4db4-a746-0656b9121d92", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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incomespendingcluster_labels
count334.000000334.000000334.0
mean78690.0044911688.7844311.0
std8955.332848272.7975110.0
min51381.5000001112.0000001.0
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" ], "text/plain": [ " income spending cluster_labels\n", "count 334.000000 334.000000 334.0\n", "mean 78690.004491 1688.784431 1.0\n", "std 8955.332848 272.797511 0.0\n", "min 51381.500000 1112.000000 1.0\n", "25% 72270.750000 1479.750000 1.0\n", "50% 79414.500000 1634.000000 1.0\n", "75% 83842.250000 1865.750000 1.0\n", "max 105471.000000 2525.000000 1.0" ] }, "execution_count": 147, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cluster_1_df.describe()" ] }, { "cell_type": "markdown", "id": "dd4a96f8-adc1-42cb-a407-ffda0d6448f8", "metadata": {}, "source": [ "- Cluster size: 334 clients.\n", "- Average income: The average income of clients in Cluster 1 is approximately 78,690$. This suggests that the customers in this cluster have relatively higher income levels compared to Cluster 0. \n", "- Average expenses: The average expenses of clients in Cluster 1 amount to around 1,688$. This indicates that the customers in this segment tend to have higher spending levels compared to Cluster 0. \n", "- Variability: The standard deviation for both income and expenses within Cluster 1 suggests a moderate degree of variability. This implies that there are clients with varying income and spending patterns within this cluster. \n", "- Range of income and expenses: The range of income in Cluster 1 spans from 51,381$ to 105,471$ while the range of expenses ranges from 1.112$ to 2,525$. This wide range indicates the presence of customers with different income and spending levels within this cluster. \n", "- Distribution of income and expenses: The median income of clients in Cluster 1 is approximately 79,414$. This suggests that half of the clients have an income below this value, while the other half has an income above it. \n", "\n", "- Overall, Cluster 1 represents a segment of customers with relatively higher income and spending levels compared to Cluster 0. These customers may have a higher purchasing power and exhibit more liberal spending behavior. The marketing department can leverage these insights to develop strategies and campaigns that cater to this customer segment. For example, they can focus on offering premium products or services, creating promotions that align with the customers' higher spending capacity, and delivering messaging that resonates with their more indulgent consumption preferences. " ] }, { "cell_type": "markdown", "id": "b226ef47-ccb1-4abc-86df-41542578397c", "metadata": {}, "source": [ "## CLUSTER 3 CONCLUSIONS" ] }, { "cell_type": "code", "execution_count": 148, "id": "f3313b3a-27ad-45c3-9404-ea0839f9182b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(612, 3)" ] }, "execution_count": 148, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cluster_2_df.shape" ] }, { "cell_type": "code", "execution_count": 149, "id": "a4c19f10-0335-4416-ab5c-2b49d3ad368c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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incomespendingcluster_labels
count612.000000612.000000612.0
mean50399.556373315.4901962.0
std7572.817956190.4615250.0
min32632.00000016.0000002.0
25%44767.750000147.7500002.0
50%49973.500000307.5000002.0
75%55305.250000455.7500002.0
max73395.000000839.0000002.0
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" ], "text/plain": [ " income spending cluster_labels\n", "count 612.000000 612.000000 612.0\n", "mean 50399.556373 315.490196 2.0\n", "std 7572.817956 190.461525 0.0\n", "min 32632.000000 16.000000 2.0\n", "25% 44767.750000 147.750000 2.0\n", "50% 49973.500000 307.500000 2.0\n", "75% 55305.250000 455.750000 2.0\n", "max 73395.000000 839.000000 2.0" ] }, "execution_count": 149, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cluster_2_df.describe()" ] }, { "cell_type": "markdown", "id": "f181bdb4-1be5-4dbb-b498-c0f33a0ff5d4", "metadata": {}, "source": [ "- Cluster size: 612 clients. \n", "- Average income: The average income of clients in Cluster 3 is approximately 50,399$. \n", "- Average expenses: Clients in Cluster 3 have an average expense of around 315$. This indicates that the customers in this segment tend to have moderate spending levels than Cluster 2. \n", "- Variability: The standard deviation for both income and expenses within Cluster 2 suggests a moderate degree of variability. This implies that there are clients with different income and spending patterns within this cluster. \n", "- Range of income and expenses: The range of income in Cluster 3 spans from 32,632$ to 73,395$ while the range of expenses ranges from 16$ to 839$. This wide range indicates the presence of customers with varying income and spending levels within this cluster. \n", "- Distribution of income and expenses: The median income of clients in Cluster 2 is approximately 49,973$. \n", "\n", "From this analysis, we can conclude that Cluster 3 represents a segment of customers with a moderate income level and moderate spending behavior. These customers may have a balanced approach to their finances and exhibit stable spending patterns. The marketing department can consider targeting this customer segment with products or services that align with their moderate income and spending capacity. They can also focus on providing value-based offerings and promotions that cater to their stable spending behavior. " ] }, { "cell_type": "markdown", "id": "b75523f8-8218-46f1-a9f5-5ca7375c8292", "metadata": {}, "source": [ "## CLUSTER 4 CONCLUSIONS" ] }, { "cell_type": "code", "execution_count": 150, "id": "cd51d510-8e0f-469b-8bf8-c639c07b9908", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(547, 3)" ] }, "execution_count": 150, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cluster_3_df.shape" ] }, { "cell_type": "code", "execution_count": 151, "id": "add52ec6-8096-4dc7-a590-cb43b1e04a23", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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incomespendingcluster_labels
count547.000000547.000000547.0
mean67507.232176985.3327243.0
std9879.242251206.3075580.0
min2447.000000277.0000003.0
25%61194.500000824.0000003.0
50%66886.000000988.0000003.0
75%74279.0000001150.0000003.0
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" ], "text/plain": [ " income spending cluster_labels\n", "count 547.000000 547.000000 547.0\n", "mean 67507.232176 985.332724 3.0\n", "std 9879.242251 206.307558 0.0\n", "min 2447.000000 277.000000 3.0\n", "25% 61194.500000 824.000000 3.0\n", "50% 66886.000000 988.000000 3.0\n", "75% 74279.000000 1150.000000 3.0\n", "max 113734.000000 1730.000000 3.0" ] }, "execution_count": 151, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cluster_3_df.describe()" ] }, { "cell_type": "markdown", "id": "52668e7f-d638-4ee0-9b7f-90573d22f65a", "metadata": {}, "source": [ "- Cluster size: 547 clients. \n", "- Average income: 67,507.23$. \n", "- Average expenses: Clients in Cluster 3 have an average expense of around 985$. \n", "- Variability: The standard deviation for both income and expenses within Cluster 3 indicates a moderate degree of variability, suggesting that there are clients with different income and spending patterns within this cluster. \n", "- Range of income and expenses: The range of income in Cluster 3 spans from 2,447$ to 113,734$ while the range of expenses ranges from 277$ to 1,730$. \n", "- Distribution of income and expenses: The median income of clients in Cluster 3 is approximately 66,886$ \n", "\n", "\n", "Based on this analysis, we can conclude that Cluster 3 represents a segment of clients with a relatively higher average income and higher spending levels compared to other clusters. These clients may have a higher spending capacity and may be more inclined towards making larger purchases. The marketing department can consider targeting this customer segment with higher-end products or services, luxury offerings, or personalized marketing campaigns that cater to their higher spending power." ] }, { "cell_type": "code", "execution_count": null, "id": "03de649a-2c04-40a4-acd2-225d71507a0a", "metadata": {}, "outputs": [], "source": [ "\n" ] }, { "cell_type": "markdown", "id": "a494edf9-9d41-4200-98a2-4cf095671722", "metadata": {}, "source": [ "# Answer the following questions of the CMO:" ] }, { "cell_type": "markdown", "id": "c094214f-a8e1-4984-aceb-a2812ac2ccbb", "metadata": {}, "source": [ "## What does the Average customer look like for our company?" ] }, { "cell_type": "code", "execution_count": 152, "id": "a52ff82f-0c3d-4524-b162-df12275f7e4a", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Average Customer
Characteristics
age54.1
year_customer2013.0
income51619.5
dependents1.0
recency49.1
\n", "
" ], "text/plain": [ " Average Customer\n", "Characteristics \n", "age 54.1\n", "year_customer 2013.0\n", "income 51619.5\n", "dependents 1.0\n", "recency 49.1" ] }, "execution_count": 152, "metadata": {}, "output_type": "execute_result" } ], "source": [ "selected_columns = ['age', 'year_customer', 'income', 'dependents', 'recency']\n", "selected_data = df[selected_columns]\n", "mean_values = selected_data.mean().round(1)\n", "mean_df = pd.DataFrame(mean_values, columns=['Mean'])\n", "mean_df.index.name = 'Variable'\n", "mean_df.columns = ['Average Customer']\n", "mean_df.index = mean_df.index.rename('Characteristics')\n", "mean_df" ] }, { "cell_type": "markdown", "id": "972d8fba-a437-4d69-8b0c-dbc8f23dbb8e", "metadata": {}, "source": [ "## What Products are best performing?" ] }, { "cell_type": "markdown", "id": "2feb8945-867d-411d-ad49-12a1f61b42f1", "metadata": {}, "source": [ "Wines Followed by meats" ] }, { "cell_type": "code", "execution_count": 153, "id": "359a2bc8-cb45-4542-892a-bf0c8b253f98", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Calcular la suma de las ventas de cada producto\n", "sales = df[['mntwines', 'mntfruits', 'mntmeatproducts', 'mntfishproducts', 'mntsweetproducts', 'mntgoldprods']].sum()\n", "\n", "# Crear el gráfico de pie\n", "plt.figure(figsize=(8, 6))\n", "plt.pie(sales, labels=sales.index, autopct='%1.1f%%')\n", "\n", "# Configurar el título\n", "plt.title('Product Performance by Sales')\n", "\n", "# Mostrar el gráfico\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "d2a87f45-5a0c-4ab0-8ed3-9c789e331f93", "metadata": {}, "source": [ "## Which channels are underperforming?" ] }, { "cell_type": "code", "execution_count": 154, "id": "71edf662-0e42-4e9e-9c64-f15c1284379d", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Seleccionar las columnas de interés\n", "channels = df[['numwebvisitsmonth', 'numstorepurchases', 'numcatalogpurchases', 'numwebpurchases', 'numdealspurchases']]\n", "\n", "# Calcular la suma de cada canal\n", "channel_purchases = channels.sum()\n", "\n", "# Calcular el porcentaje de compras de cada canal\n", "total_purchases = df['total_purchases'].sum()\n", "channel_performance = (channel_purchases / total_purchases) * 100\n", "\n", "# Crear el gráfico de pie\n", "plt.figure(figsize=(8, 6))\n", "plt.pie(channel_performance, labels=channel_performance.index, autopct='%1.1f%%')\n", "\n", "# Configurar el título\n", "plt.title('Channels Performance by Total Purchases')\n", "\n", "# Mostrar el gráfico\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "5be61171-10b2-411a-82ad-c4fc7ff5bca6", "metadata": {}, "source": [ "## Which Marketing Campaigns were most successful?\n", "\n", "The most successful campaign is the most recent (column name: Response)" ] }, { "cell_type": "code", "execution_count": 155, "id": "f0698908-b610-44c9-a52a-269786c5efaa", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1, 7, figsize=(15, 4))\n", "\n", "sns.countplot(x=df_cat['acceptedcmp1'], ax=ax[0])\n", "sns.countplot(x=df_cat['acceptedcmp2'], ax=ax[1])\n", "sns.countplot(x=df_cat['acceptedcmp3'], ax=ax[2])\n", "sns.countplot(x=df_cat['acceptedcmp4'], ax=ax[3])\n", "sns.countplot(x=df_cat['acceptedcmp5'], ax=ax[4])\n", "sns.countplot(x=df_cat['response'], ax=ax[5])\n", "\n", "ax[3].legend(loc='center left', bbox_to_anchor=(1.0, 0.5))\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "d7db6747-f9c3-4dab-ad20-04bd2414e366", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "0c62db6a-a4f5-4586-b23f-25e2f9c84ded", "metadata": {}, "source": [ "## Purchase amount spending prediction: Spending/Income" ] }, { "cell_type": "code", "execution_count": 156, "id": "1da39e8b-d0c8-467d-981e-2ecba19dd721", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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incomespending
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2229 rows × 2 columns

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" ], "text/plain": [ " income spending\n", "0 84835.0 1190\n", "1 57091.0 577\n", "2 67267.0 251\n", "3 32474.0 11\n", "4 21474.0 91\n", "... ... ...\n", "2232 66476.0 689\n", "2233 31056.0 55\n", "2234 46310.0 309\n", "2235 65819.0 1383\n", "2236 94871.0 1078\n", "\n", "[2229 rows x 2 columns]" ] }, "execution_count": 156, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cluster" ] }, { "cell_type": "code", "execution_count": 157, "id": "491c3622-9317-46e3-8a84-df48147a5588", "metadata": {}, "outputs": [], "source": [ "from sklearn.model_selection import train_test_split\n", "from sklearn.preprocessing import StandardScaler\n", "from sklearn.linear_model import LinearRegression\n", "from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_error\n", "from math import sqrt\n", "\n", "#X-y split \n", "Y=cluster['spending']\n", "X=cluster.drop('spending',axis=1)" ] }, { "cell_type": "code", "execution_count": 158, "id": "acc90fae-5076-44fa-8ed0-d64c71761324", "metadata": {}, "outputs": [], "source": [ "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.2, random_state=42)" ] }, { "cell_type": "code", "execution_count": 159, "id": "a2516b18-053a-42b2-9e8f-e27537b35205", "metadata": {}, "outputs": [], "source": [ "# Normalizar los datos en X_train y X_test usando StandardScaler\n", "scaler = StandardScaler()\n", "X_train_scaled = scaler.fit_transform(X_train)\n", "X_test_scaled = scaler.transform(X_test)" ] }, { "cell_type": "code", "execution_count": 160, "id": "5c0a2f04-b169-4259-8d3a-ed5b93199843", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "LinearRegression()" ] }, "execution_count": 160, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Crear y ajustar el modelo de regresión lineal\n", "regression_model = LinearRegression()\n", "regression_model.fit(X_train_scaled, y_train)" ] }, { "cell_type": "code", "execution_count": 161, "id": "43194055-cae2-47fa-9400-27ef5aaf2a65", "metadata": {}, "outputs": [], "source": [ "# Realizar las predicciones en conjunto de entrenamiento y conjunto de prueba\n", "y_train_pred = regression_model.predict(X_train_scaled)\n", "y_test_pred = regression_model.predict(X_test_scaled)\n" ] }, { "cell_type": "code", "execution_count": 162, "id": "55cd23fc-f074-461c-92a7-1991e7fd8262", "metadata": {}, "outputs": [], "source": [ "# Calcular las métricas en conjunto de entrenamiento\n", "r2_train = r2_score(y_train, y_train_pred)\n", "mse_train = mean_squared_error(y_train, y_train_pred)\n", "mae_train = mean_absolute_error(y_train, y_train_pred)\n", "rmse_train = sqrt(mse_train)" ] }, { "cell_type": "code", "execution_count": 163, "id": "733dd563-8649-4466-9470-f42643485e1c", "metadata": {}, "outputs": [], "source": [ "# Calcular las métricas en conjunto de prueba\n", "r2_test = r2_score(y_test, y_test_pred)\n", "mse_test = mean_squared_error(y_test, y_test_pred)\n", "mae_test = mean_absolute_error(y_test, y_test_pred)\n", "rmse_test = sqrt(mse_test)\n" ] }, { "cell_type": "code", "execution_count": 164, "id": "d1503353-1d27-41db-a94c-b05492087c1a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Métricas en conjunto de entrenamiento:\n", "R^2: 0.6784919073987676\n", "MSE: 118045.350349332\n", "MAE: 268.46887171988595\n", "RMSE: 343.57728439076413\n", "------------------------------\n", "Métricas en conjunto de prueba:\n", "R^2: 0.6469237899197506\n", "MSE: 118895.62031097068\n", "MAE: 267.66162931031494\n", "RMSE: 344.8124422218124\n" ] } ], "source": [ "# Imprimir las métricas\n", "print(\"Métricas en conjunto de entrenamiento:\")\n", "print(\"R^2:\", r2_train)\n", "print(\"MSE:\", mse_train)\n", "print(\"MAE:\", mae_train)\n", "print(\"RMSE:\", rmse_train)\n", "print(\"------------------------------\")\n", "print(\"Métricas en conjunto de prueba:\")\n", "print(\"R^2:\", r2_test)\n", "print(\"MSE:\", mse_test)\n", "print(\"MAE:\", mae_test)\n", "print(\"RMSE:\", rmse_test)" ] }, { "cell_type": "code", "execution_count": null, "id": "c1a6b5af-0b29-44d8-a844-475005a48571", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "e1a5c541-6c76-432f-8093-91cdf96428a2", "metadata": {}, "source": [ "## Purchase amount spending prediction with other variables" ] }, { "cell_type": "code", "execution_count": 165, "id": "cb9c9284-7e4c-44f4-9b56-0a81912d70f8", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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educationmarital_statusacceptedcmp3acceptedcmp4acceptedcmp5acceptedcmp1acceptedcmp2responsecomplaincountry
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2229 rows × 10 columns

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" ], "text/plain": [ " education marital_status acceptedcmp3 acceptedcmp4 acceptedcmp5 \\\n", "0 Graduation single 0 0 0 \n", "1 Graduation single 0 0 0 \n", "2 Graduation couple 0 0 0 \n", "3 Graduation couple 0 0 0 \n", "4 Graduation single 1 1 0 \n", "... ... ... ... ... ... \n", "2232 PhD single 0 0 0 \n", "2233 2n Cycle couple 0 0 0 \n", "2234 Graduation single 0 0 0 \n", "2235 Graduation couple 0 0 0 \n", "2236 PhD couple 0 0 1 \n", "\n", " acceptedcmp1 acceptedcmp2 response complain country \n", "0 0 0 1 0 SP \n", "1 0 1 1 0 CA \n", "2 0 0 0 0 US \n", "3 0 0 0 0 AUS \n", "4 0 0 1 0 SP \n", "... ... ... ... ... ... \n", "2232 0 0 0 0 US \n", "2233 0 0 0 0 SP \n", "2234 0 0 0 0 SP \n", "2235 0 0 0 0 IND \n", "2236 0 0 1 0 CA \n", "\n", "[2229 rows x 10 columns]" ] }, "execution_count": 165, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_cat" ] }, { "cell_type": "code", "execution_count": 166, "id": "846a316b-8dff-40ad-a71b-e0757f6098ca", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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educationmarital_statuscountry
0GraduationsingleSP
1GraduationsingleCA
2GraduationcoupleUS
3GraduationcoupleAUS
4GraduationsingleSP
............
2224PhDsingleUS
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2229 rows × 3 columns

\n", "
" ], "text/plain": [ " education marital_status country\n", "0 Graduation single SP\n", "1 Graduation single CA\n", "2 Graduation couple US\n", "3 Graduation couple AUS\n", "4 Graduation single SP\n", "... ... ... ...\n", "2224 PhD single US\n", "2225 2n Cycle couple SP\n", "2226 Graduation single SP\n", "2227 Graduation couple IND\n", "2228 PhD couple CA\n", "\n", "[2229 rows x 3 columns]" ] }, "execution_count": 166, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_cat_l=df_cat[['education', 'marital_status', 'country']]\n", "df_cat_l= df_cat_l.reset_index()\n", "df_cat_l = df_cat_l.drop(columns=['index'])\n", "df_cat_l" ] }, { "cell_type": "code", "execution_count": 167, "id": "a50fc088-5093-4550-b143-46101a425590", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[0., 1., 0., ..., 0., 1., 0.],\n", " [0., 1., 0., ..., 0., 0., 0.],\n", " [0., 1., 0., ..., 0., 0., 1.],\n", " ...,\n", " [0., 1., 0., ..., 0., 1., 0.],\n", " [0., 1., 0., ..., 0., 0., 0.],\n", " [0., 0., 0., ..., 0., 0., 0.]])" ] }, "execution_count": 167, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Encodign categorical data \n", "from sklearn.preprocessing import OneHotEncoder\n", "encoder=OneHotEncoder(drop='first').fit(df_cat_l)\n", "encoder=encoder.transform(df_cat_l).toarray()\n", "encoder" ] }, { "cell_type": "code", "execution_count": 168, "id": "b2cf2d07-8ee8-45e2-8798-9bf5e167362c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " id income recency mntwines mntfruits mntmeatproducts \\\n", "0 1826 84835.0 0 189 104 379 \n", "1 1 57091.0 0 464 5 64 \n", "2 10476 67267.0 0 134 11 59 \n", "3 1386 32474.0 0 10 0 1 \n", "4 5371 21474.0 0 6 16 24 \n", "... ... ... ... ... ... ... \n", "2232 10142 66476.0 99 372 18 126 \n", "2233 5263 31056.0 99 5 10 13 \n", "2234 22 46310.0 99 185 2 88 \n", "2235 528 65819.0 99 267 38 701 \n", "2236 4070 94871.0 99 169 24 553 \n", "\n", " mntfishproducts mntsweetproducts mntgoldprods numdealspurchases \\\n", "0 111 189 218 1 \n", "1 7 0 37 1 \n", "2 15 2 30 1 \n", "3 0 0 0 1 \n", "4 11 0 34 2 \n", "... ... ... ... ... \n", "2232 47 48 78 2 \n", "2233 3 8 16 1 \n", "2234 15 5 14 2 \n", "2235 149 165 63 1 \n", "2236 188 0 144 1 \n", "\n", " numwebpurchases numcatalogpurchases numstorepurchases \\\n", "0 4 4 6 \n", "1 7 3 7 \n", "2 3 2 5 \n", "3 1 0 2 \n", "4 3 1 2 \n", "... ... ... ... \n", "2232 5 2 11 \n", "2233 1 0 3 \n", "2234 6 1 5 \n", "2235 5 4 10 \n", "2236 8 5 4 \n", "\n", " numwebvisitsmonth age spending dependents year_customer \\\n", "0 1 53 1190 0 2014 \n", "1 5 62 577 0 2014 \n", "2 2 65 251 1 2014 \n", "3 7 56 11 2 2014 \n", "4 7 34 91 1 2014 \n", "... ... ... ... ... ... \n", "2232 4 47 689 1 2013 \n", "2233 8 46 55 1 2013 \n", "2234 8 47 309 1 2012 \n", "2235 3 45 1383 0 2012 \n", "2236 7 54 1078 2 2012 \n", "\n", " total_purchases total_campaigns_acc \n", "0 15 1.0 \n", "1 18 11.0 \n", "2 11 0.0 \n", "3 4 0.0 \n", "4 8 110001.0 \n", "... ... ... \n", "2232 20 0.0 \n", "2233 5 0.0 \n", "2234 14 0.0 \n", "2235 20 0.0 \n", "2236 18 1001.0 \n", "\n", "[2229 rows x 20 columns]" ] }, "execution_count": 168, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_num" ] }, { "cell_type": "code", "execution_count": 169, "id": "d1cf23f3-7b66-47a9-b62a-835270eab7b3", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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incomenumdealspurchasesnumwebpurchasesnumcatalogpurchasesnumstorepurchasesnumwebvisitsmonthagedependentsspending
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2229 rows × 9 columns

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" ], "text/plain": [ " income numdealspurchases numwebpurchases numcatalogpurchases \\\n", "0 84835.0 1 4 4 \n", "1 57091.0 1 7 3 \n", "2 67267.0 1 3 2 \n", "3 32474.0 1 1 0 \n", "4 21474.0 2 3 1 \n", "... ... ... ... ... \n", "2224 66476.0 2 5 2 \n", "2225 31056.0 1 1 0 \n", "2226 46310.0 2 6 1 \n", "2227 65819.0 1 5 4 \n", "2228 94871.0 1 8 5 \n", "\n", " numstorepurchases numwebvisitsmonth age dependents spending \n", "0 6 1 53 0 1190 \n", "1 7 5 62 0 577 \n", "2 5 2 65 1 251 \n", "3 2 7 56 2 11 \n", "4 2 7 34 1 91 \n", "... ... ... ... ... ... \n", "2224 11 4 47 1 689 \n", "2225 3 8 46 1 55 \n", "2226 5 8 47 1 309 \n", "2227 10 3 45 0 1383 \n", "2228 4 7 54 2 1078 \n", "\n", "[2229 rows x 9 columns]" ] }, "execution_count": 169, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_num_l=df_num[['income', 'numdealspurchases',\t'numwebpurchases', 'numcatalogpurchases', 'numstorepurchases','numwebvisitsmonth', 'age', 'dependents', 'spending']]\n", "df_num_l= df_num_l.reset_index()\n", "df_num_l = df_num_l.drop(columns=['index'])\n", "df_num_l" ] }, { "cell_type": "code", "execution_count": 170, "id": "17698c7c-ec6f-4048-a5f7-dc46891882f7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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2229 rows × 8 columns

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" ], "text/plain": [ " income numdealspurchases numwebpurchases numcatalogpurchases \\\n", "0 84835.0 1 4 4 \n", "1 57091.0 1 7 3 \n", "2 67267.0 1 3 2 \n", "3 32474.0 1 1 0 \n", "4 21474.0 2 3 1 \n", "... ... ... ... ... \n", "2224 66476.0 2 5 2 \n", "2225 31056.0 1 1 0 \n", "2226 46310.0 2 6 1 \n", "2227 65819.0 1 5 4 \n", "2228 94871.0 1 8 5 \n", "\n", " numstorepurchases numwebvisitsmonth age dependents \n", "0 6 1 53 0 \n", "1 7 5 62 0 \n", "2 5 2 65 1 \n", "3 2 7 56 2 \n", "4 2 7 34 1 \n", "... ... ... ... ... \n", "2224 11 4 47 1 \n", "2225 3 8 46 1 \n", "2226 5 8 47 1 \n", "2227 10 3 45 0 \n", "2228 4 7 54 2 \n", "\n", "[2229 rows x 8 columns]" ] }, "execution_count": 170, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#X-y split \n", "y=df_num_l['spending']\n", "X=df_num_l.drop(['spending'],axis=1)\n", "X" ] }, { "cell_type": "code", "execution_count": null, "id": "1255f2f3-486f-4d68-9233-5b5ef71dacbe", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "a3f3fa69-d12d-4043-8bf9-b29c9e0af815", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 171, "id": "05665183-cb37-4c31-b77e-96903b1a6c08", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[ 1.6126693 , -0.69656739, -0.03605431, ..., -1.79512893,\n", " -0.09494056, -1.26627659],\n", " [ 0.2656505 , -0.69656739, 1.04508986, ..., -0.13842988,\n", " 0.67397452, -1.26627659],\n", " [ 0.75971276, -0.69656739, -0.3964357 , ..., -1.38095417,\n", " 0.93027955, 0.06385089],\n", " ...,\n", " [-0.25778554, -0.1688146 , 0.68470847, ..., 1.10409441,\n", " -0.60755062, 0.06385089],\n", " [ 0.68940988, -0.69656739, 0.32432708, ..., -0.96677941,\n", " -0.77842064, -1.26627659],\n", " [ 2.09993432, -0.69656739, 1.40547125, ..., 0.68991965,\n", " -0.00950556, 1.39397838]])" ] }, "execution_count": 171, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Normalizar datos numéricos utilizando StandardScaler\n", "scaler = StandardScaler()\n", "X_es = scaler.fit_transform(X)\n", "X_es" ] }, { "cell_type": "code", "execution_count": 172, "id": "ff7486e9-2b13-4e19-8adf-19899008faa0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[ 1.6126693 , -0.69656739, -0.03605431, ..., 0. ,\n", " 1. , 0. ],\n", " [ 0.2656505 , -0.69656739, 1.04508986, ..., 0. ,\n", " 0. , 0. ],\n", " [ 0.75971276, -0.69656739, -0.3964357 , ..., 0. ,\n", " 0. , 1. ],\n", " ...,\n", " [-0.25778554, -0.1688146 , 0.68470847, ..., 0. ,\n", " 1. , 0. ],\n", " [ 0.68940988, -0.69656739, 0.32432708, ..., 0. ,\n", " 0. , 0. ],\n", " [ 2.09993432, -0.69656739, 1.40547125, ..., 0. ,\n", " 0. , 0. ]])" ] }, "execution_count": 172, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X=np.concatenate((X_es ,encoder),axis=1)\n", "X" ] }, { "cell_type": "code", "execution_count": 173, "id": "32139757-8482-440c-9676-1c7faec0df5c", "metadata": {}, "outputs": [], "source": [ "X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.3,random_state=42)\n" ] }, { "cell_type": "code", "execution_count": 174, "id": "d9e3c9c6-9112-42b1-8e41-3875d8968fbc", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[-0.61140256, -0.68389372, -1.11115159, ..., -0.41585133,\n", " -0.96225045, -0.22786351],\n", " [ 0.70526191, 0.33801644, 1.75100978, ..., -0.41585133,\n", " 1.03923048, -0.22786351],\n", " [ 0.14579357, 0.84897152, -0.39561125, ..., -0.41585133,\n", " -0.96225045, -0.22786351],\n", " ...,\n", " [-0.15850648, -0.68389372, -1.11115159, ..., -0.41585133,\n", " 1.03923048, -0.22786351],\n", " [ 1.10278267, -0.68389372, -0.03784108, ..., 2.40470553,\n", " -0.96225045, -0.22786351],\n", " [ 0.82513769, -0.68389372, 1.75100978, ..., -0.41585133,\n", " -0.96225045, -0.22786351]])" ] }, "execution_count": 174, "metadata": {}, "output_type": "execute_result" } ], "source": [ "scaler = StandardScaler()\n", "X_train_scaled = scaler.fit_transform(X_train)\n", "X_test_scaled = scaler.transform(X_test)\n", "X_test_scaled" ] }, { "cell_type": "code", "execution_count": 175, "id": "534df501-51ca-4767-82e4-7ea120162195", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "LinearRegression()" ] }, "execution_count": 175, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Crear y ajustar el modelo de regresión lineal\n", "regression_model = LinearRegression()\n", "regression_model.fit(X_train_scaled, y_train)" ] }, { "cell_type": "code", "execution_count": 176, "id": "4f413ca2-738a-4a22-a841-458f3bae56ec", "metadata": {}, "outputs": [], "source": [ "# Realizar las predicciones en conjunto de entrenamiento y conjunto de prueba\n", "y_train_pred = regression_model.predict(X_train_scaled)\n", "y_test_pred = regression_model.predict(X_test_scaled)\n" ] }, { "cell_type": "code", "execution_count": 177, "id": "2414786d-eeed-4917-bb92-2271ba7903e6", "metadata": {}, "outputs": [], "source": [ "# Calcular las métricas\n", "r2_train = r2_score(y_train, y_train_pred)\n", "mse_train = mean_squared_error(y_train, y_train_pred)\n", "mae_train = mean_absolute_error(y_train, y_train_pred)\n", "rmse_train = sqrt(mse_train)\n", "\n", "r2_test = r2_score(y_test, y_test_pred)\n", "mse_test = mean_squared_error(y_test, y_test_pred)\n", "mae_test = mean_absolute_error(y_test, y_test_pred)\n", "rmse_test = sqrt(mse_test)" ] }, { "cell_type": "code", "execution_count": 178, "id": "6ca65292-7d13-45b8-8209-a58600503f8d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Métricas en conjunto de entrenamiento:\n", "R^2: 0.8156524015032155\n", "MSE: 68735.41992095124\n", "MAE: 188.13034539025102\n", "RMSE: 262.1744074484602\n", "---------------------------\n", "Métricas en conjunto de prueba:\n", "R^2: 0.8082373964076417\n", "MSE: 63965.346222295244\n", "MAE: 178.48083942988046\n", "RMSE: 252.91371299772428\n" ] } ], "source": [ "# Imprimir las métricas\n", "print(\"Métricas en conjunto de entrenamiento:\")\n", "print(\"R^2:\", r2_train)\n", "print(\"MSE:\", mse_train)\n", "print(\"MAE:\", mae_train)\n", "print(\"RMSE:\", rmse_train)\n", "print(\"---------------------------\")\n", "print(\"Métricas en conjunto de prueba:\")\n", "print(\"R^2:\", r2_test)\n", "print(\"MSE:\", mse_test)\n", "print(\"MAE:\", mae_test)\n", "print(\"RMSE:\", rmse_test)" ] }, { "cell_type": "markdown", "id": "7f70c903-63a8-4955-9c23-aebe8501f5bc", "metadata": {}, "source": [] }, { "cell_type": "code", "execution_count": null, "id": "fa470cfa-dee0-4728-b31b-baee207a5708", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "14a42202-d52d-4de9-9234-9579d3ec95de", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "384377f3-add8-4970-8a54-3f41b83569de", "metadata": {}, "source": [ "## Prediction removing income of last prediciton" ] }, { "cell_type": "code", "execution_count": 179, "id": "f995c0b4-0d96-4d19-9411-fe1e41a4195b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " numdealspurchases numwebpurchases numcatalogpurchases \\\n", "0 1 4 4 \n", "1 1 7 3 \n", "2 1 3 2 \n", "3 1 1 0 \n", "4 2 3 1 \n", "... ... ... ... \n", "2224 2 5 2 \n", "2225 1 1 0 \n", "2226 2 6 1 \n", "2227 1 5 4 \n", "2228 1 8 5 \n", "\n", " numstorepurchases numwebvisitsmonth age dependents spending \n", "0 6 1 53 0 1190 \n", "1 7 5 62 0 577 \n", "2 5 2 65 1 251 \n", "3 2 7 56 2 11 \n", "4 2 7 34 1 91 \n", "... ... ... ... ... ... \n", "2224 11 4 47 1 689 \n", "2225 3 8 46 1 55 \n", "2226 5 8 47 1 309 \n", "2227 10 3 45 0 1383 \n", "2228 4 7 54 2 1078 \n", "\n", "[2229 rows x 8 columns]" ] }, "execution_count": 179, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_num_l=df_num[['numdealspurchases',\t'numwebpurchases', 'numcatalogpurchases', 'numstorepurchases','numwebvisitsmonth', 'age', 'dependents', 'spending']]\n", "df_num_l= df_num_l.reset_index()\n", "df_num_l = df_num_l.drop(columns=['index'])\n", "df_num_l" ] }, { "cell_type": "code", "execution_count": 180, "id": "9c7f225d-3ae0-4c50-ab20-ade9ffc72234", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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numdealspurchasesnumwebpurchasesnumcatalogpurchasesnumstorepurchasesnumwebvisitsmonthagedependents
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" ], "text/plain": [ " numdealspurchases numwebpurchases numcatalogpurchases \\\n", "0 1 4 4 \n", "1 1 7 3 \n", "2 1 3 2 \n", "3 1 1 0 \n", "4 2 3 1 \n", "... ... ... ... \n", "2224 2 5 2 \n", "2225 1 1 0 \n", "2226 2 6 1 \n", "2227 1 5 4 \n", "2228 1 8 5 \n", "\n", " numstorepurchases numwebvisitsmonth age dependents \n", "0 6 1 53 0 \n", "1 7 5 62 0 \n", "2 5 2 65 1 \n", "3 2 7 56 2 \n", "4 2 7 34 1 \n", "... ... ... ... ... \n", "2224 11 4 47 1 \n", "2225 3 8 46 1 \n", "2226 5 8 47 1 \n", "2227 10 3 45 0 \n", "2228 4 7 54 2 \n", "\n", "[2229 rows x 7 columns]" ] }, "execution_count": 180, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#X-y split \n", "y=df_num_l['spending']\n", "X=df_num_l.drop(['spending'],axis=1)\n", "X" ] }, { "cell_type": "code", "execution_count": 181, "id": "ecde8a4c-532f-402e-890b-5aacd0f972bf", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[-0.69656739, -0.03605431, 0.48770355, ..., -1.79512893,\n", " -0.09494056, -1.26627659],\n", " [-0.69656739, 1.04508986, 0.12999009, ..., -0.13842988,\n", " 0.67397452, -1.26627659],\n", " [-0.69656739, -0.3964357 , -0.22772338, ..., -1.38095417,\n", " 0.93027955, 0.06385089],\n", " ...,\n", " [-0.1688146 , 0.68470847, -0.58543684, ..., 1.10409441,\n", " -0.60755062, 0.06385089],\n", " [-0.69656739, 0.32432708, 0.48770355, ..., -0.96677941,\n", " -0.77842064, -1.26627659],\n", " [-0.69656739, 1.40547125, 0.84541702, ..., 0.68991965,\n", " -0.00950556, 1.39397838]])" ] }, "execution_count": 181, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Normalizar datos numéricos utilizando StandardScaler\n", "scaler = StandardScaler()\n", "X_es = scaler.fit_transform(X)\n", "X_es" ] }, { "cell_type": "code", "execution_count": 182, "id": "f549e7e6-9b4b-4590-9915-e82981c904c8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[-0.69656739, -0.03605431, 0.48770355, ..., 0. ,\n", " 1. , 0. ],\n", " [-0.69656739, 1.04508986, 0.12999009, ..., 0. ,\n", " 0. , 0. ],\n", " [-0.69656739, -0.3964357 , -0.22772338, ..., 0. ,\n", " 0. , 1. ],\n", " ...,\n", " [-0.1688146 , 0.68470847, -0.58543684, ..., 0. ,\n", " 1. , 0. ],\n", " [-0.69656739, 0.32432708, 0.48770355, ..., 0. ,\n", " 0. , 0. ],\n", " [-0.69656739, 1.40547125, 0.84541702, ..., 0. ,\n", " 0. , 0. ]])" ] }, "execution_count": 182, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X=np.concatenate((X_es ,encoder),axis=1)\n", "X" ] }, { "cell_type": "code", "execution_count": 183, "id": "d0405574-48aa-45bb-87db-8f1bcffe2b7d", "metadata": {}, "outputs": [], "source": [ "X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.3,random_state=42)" ] }, { "cell_type": "code", "execution_count": 184, "id": "6dfc5243-a9d5-4731-97c3-9b175d9e9641", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[-0.68389372, -1.11115159, -0.92884441, ..., -0.41585133,\n", " -0.96225045, -0.22786351],\n", " [ 0.33801644, 1.75100978, 0.85168801, ..., -0.41585133,\n", " 1.03923048, -0.22786351],\n", " [ 0.84897152, -0.39561125, -0.57273793, ..., -0.41585133,\n", " -0.96225045, -0.22786351],\n", " ...,\n", " [-0.68389372, -1.11115159, -0.92884441, ..., -0.41585133,\n", " 1.03923048, -0.22786351],\n", " [-0.68389372, -0.03784108, 0.13947504, ..., 2.40470553,\n", " -0.96225045, -0.22786351],\n", " [-0.68389372, 1.75100978, 1.56390097, ..., -0.41585133,\n", " -0.96225045, -0.22786351]])" ] }, "execution_count": 184, "metadata": {}, "output_type": "execute_result" } ], "source": [ "scaler = StandardScaler()\n", "X_train_scaled = scaler.fit_transform(X_train)\n", "X_test_scaled = scaler.transform(X_test)\n", "X_test_scaled" ] }, { "cell_type": "code", "execution_count": 185, "id": "b3145421-ec34-4da4-87cc-e07f587b2b03", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "LinearRegression()" ] }, "execution_count": 185, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Crear y ajustar el modelo de regresión lineal\n", "regression_model = LinearRegression()\n", "regression_model.fit(X_train_scaled, y_train)" ] }, { "cell_type": "code", "execution_count": 186, "id": "9206c097-bba1-4717-8030-ef0639c7b19e", "metadata": {}, "outputs": [], "source": [ "# Realizar las predicciones en conjunto de entrenamiento y conjunto de prueba\n", "y_train_pred = regression_model.predict(X_train_scaled)\n", "y_test_pred = regression_model.predict(X_test_scaled)" ] }, { "cell_type": "code", "execution_count": 187, "id": "8e15d0a1-a293-48f3-b5a3-dc5d9f5d66bf", "metadata": {}, "outputs": [], "source": [ "# Calcular las métricas\n", "r2_train = r2_score(y_train, y_train_pred)\n", "mse_train = mean_squared_error(y_train, y_train_pred)\n", "mae_train = mean_absolute_error(y_train, y_train_pred)\n", "rmse_train = sqrt(mse_train)\n", "\n", "r2_test = r2_score(y_test, y_test_pred)\n", "mse_test = mean_squared_error(y_test, y_test_pred)\n", "mae_test = mean_absolute_error(y_test, y_test_pred)\n", "rmse_test = sqrt(mse_test)" ] }, { "cell_type": "code", "execution_count": 188, "id": "b631f341-dd8a-46fd-88cf-e7ff77f05531", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Métricas en conjunto de entrenamiento:\n", "R^2: 0.7532939530028419\n", "MSE: 91986.2470445113\n", "MAE: 205.98088193206826\n", "RMSE: 303.29234583897977\n", "---------------------------\n", "Métricas en conjunto de prueba:\n", "R^2: 0.7535298353825518\n", "MSE: 82213.8890371711\n", "MAE: 194.52090187890965\n", "RMSE: 286.7296445036179\n" ] } ], "source": [ "# Imprimir las métricas\n", "print(\"Métricas en conjunto de entrenamiento:\")\n", "print(\"R^2:\", r2_train)\n", "print(\"MSE:\", mse_train)\n", "print(\"MAE:\", mae_train)\n", "print(\"RMSE:\", rmse_train)\n", "print(\"---------------------------\")\n", "print(\"Métricas en conjunto de prueba:\")\n", "print(\"R^2:\", r2_test)\n", "print(\"MSE:\", mse_test)\n", "print(\"MAE:\", mae_test)\n", "print(\"RMSE:\", rmse_test)" ] }, { 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