{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "id": "XsxVgYD2RQvG" }, "outputs": [], "source": [ "# Importing packages \n", "import pandas as pd \n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "from datetime import date\n", "from datetime import timedelta" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# To remove some warnings (setting with a copy)\n", "pd.options.mode.chained_assignment = None" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "id": "0HgnpBjGTbGj" }, "outputs": [], "source": [ "# Loading dataset\n", "df = pd.read_csv('static/customer_segmentation.csv', encoding='latin1')" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "iB85SUAze_cy" }, "source": [ "# Data Exploration " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Let's see what is going on in our dataset." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 337 }, "id": "tWujIs-Wem98", "outputId": "38caeed2-06bd-4e9f-e829-8292483b8e3c" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(541909, 8)\n" ] }, { "data": { "text/html": [ "
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InvoiceNoStockCodeDescriptionQuantityInvoiceDateUnitPriceCustomerIDCountry
053636585123AWHITE HANGING HEART T-LIGHT HOLDER612/1/2010 8:262.5517850.0United Kingdom
153636571053WHITE METAL LANTERN612/1/2010 8:263.3917850.0United Kingdom
253636584406BCREAM CUPID HEARTS COAT HANGER812/1/2010 8:262.7517850.0United Kingdom
353636584029GKNITTED UNION FLAG HOT WATER BOTTLE612/1/2010 8:263.3917850.0United Kingdom
453636584029ERED WOOLLY HOTTIE WHITE HEART.612/1/2010 8:263.3917850.0United Kingdom
\n", "
" ], "text/plain": [ " InvoiceNo StockCode Description Quantity \n", "0 536365 85123A WHITE HANGING HEART T-LIGHT HOLDER 6 \\\n", "1 536365 71053 WHITE METAL LANTERN 6 \n", "2 536365 84406B CREAM CUPID HEARTS COAT HANGER 8 \n", "3 536365 84029G KNITTED UNION FLAG HOT WATER BOTTLE 6 \n", "4 536365 84029E RED WOOLLY HOTTIE WHITE HEART. 6 \n", "\n", " InvoiceDate UnitPrice CustomerID Country \n", "0 12/1/2010 8:26 2.55 17850.0 United Kingdom \n", "1 12/1/2010 8:26 3.39 17850.0 United Kingdom \n", "2 12/1/2010 8:26 2.75 17850.0 United Kingdom \n", "3 12/1/2010 8:26 3.39 17850.0 United Kingdom \n", "4 12/1/2010 8:26 3.39 17850.0 United Kingdom " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "print(df.shape)\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 300 }, "id": "UGqAX4ZWe0sg", "outputId": "af97b4ca-f8ea-4bc8-f679-7f087e4e150a" }, "outputs": [ { "data": { "text/html": [ "
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QuantityUnitPriceCustomerID
count541909.000000541909.000000406829.000000
mean9.5522504.61111415287.690570
std218.08115896.7598531713.600303
min-80995.000000-11062.06000012346.000000
25%1.0000001.25000013953.000000
50%3.0000002.08000015152.000000
75%10.0000004.13000016791.000000
max80995.00000038970.00000018287.000000
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" ], "text/plain": [ " Quantity UnitPrice CustomerID\n", "count 541909.000000 541909.000000 406829.000000\n", "mean 9.552250 4.611114 15287.690570\n", "std 218.081158 96.759853 1713.600303\n", "min -80995.000000 -11062.060000 12346.000000\n", "25% 1.000000 1.250000 13953.000000\n", "50% 3.000000 2.080000 15152.000000\n", "75% 10.000000 4.130000 16791.000000\n", "max 80995.000000 38970.000000 18287.000000" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.describe()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "We can see that we have negative \"Quantity\" and \"UnitPrice\". It's probably returned orders or discounts." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "mFJ2BLpqsVG1", "outputId": "705b564a-b7d5-454b-d560-3f6986b8791b" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 541909 entries, 0 to 541908\n", "Data columns (total 8 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 InvoiceNo 541909 non-null object \n", " 1 StockCode 541909 non-null object \n", " 2 Description 540455 non-null object \n", " 3 Quantity 541909 non-null int64 \n", " 4 InvoiceDate 541909 non-null object \n", " 5 UnitPrice 541909 non-null float64\n", " 6 CustomerID 406829 non-null float64\n", " 7 Country 541909 non-null object \n", "dtypes: float64(2), int64(1), object(5)\n", "memory usage: 33.1+ MB\n" ] } ], "source": [ "# Let's check the type of our features\n", "df.info()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Un1zk8pZtN6S", "outputId": "27f33df6-d12b-4a39-9570-76bf81ad2416" }, "outputs": [ { "data": { "text/html": [ "
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countproportion
Country
United Kingdom495478.00.914320
Germany9495.00.017521
France8557.00.015790
EIRE8196.00.015124
Spain2533.00.004674
Netherlands2371.00.004375
Belgium2069.00.003818
Switzerland2002.00.003694
Portugal1519.00.002803
Australia1259.00.002323
Norway1086.00.002004
Italy803.00.001482
Channel Islands758.00.001399
Finland695.00.001283
Cyprus622.00.001148
Sweden462.00.000853
Unspecified446.00.000823
Austria401.00.000740
Denmark389.00.000718
Japan358.00.000661
Poland341.00.000629
Israel297.00.000548
USA291.00.000537
Hong Kong288.00.000531
Singapore229.00.000423
Iceland182.00.000336
Canada151.00.000279
Greece146.00.000269
Malta127.00.000234
United Arab Emirates68.00.000125
European Community61.00.000113
RSA58.00.000107
Lebanon45.00.000083
Lithuania35.00.000065
Brazil32.00.000059
Czech Republic30.00.000055
Bahrain19.00.000035
Saudi Arabia10.00.000018
\n", "
" ], "text/plain": [ " count proportion\n", "Country \n", "United Kingdom 495478.0 0.914320\n", "Germany 9495.0 0.017521\n", "France 8557.0 0.015790\n", "EIRE 8196.0 0.015124\n", "Spain 2533.0 0.004674\n", "Netherlands 2371.0 0.004375\n", "Belgium 2069.0 0.003818\n", "Switzerland 2002.0 0.003694\n", "Portugal 1519.0 0.002803\n", "Australia 1259.0 0.002323\n", "Norway 1086.0 0.002004\n", "Italy 803.0 0.001482\n", "Channel Islands 758.0 0.001399\n", "Finland 695.0 0.001283\n", "Cyprus 622.0 0.001148\n", "Sweden 462.0 0.000853\n", "Unspecified 446.0 0.000823\n", "Austria 401.0 0.000740\n", "Denmark 389.0 0.000718\n", "Japan 358.0 0.000661\n", "Poland 341.0 0.000629\n", "Israel 297.0 0.000548\n", "USA 291.0 0.000537\n", "Hong Kong 288.0 0.000531\n", "Singapore 229.0 0.000423\n", "Iceland 182.0 0.000336\n", "Canada 151.0 0.000279\n", "Greece 146.0 0.000269\n", "Malta 127.0 0.000234\n", "United Arab Emirates 68.0 0.000125\n", "European Community 61.0 0.000113\n", "RSA 58.0 0.000107\n", "Lebanon 45.0 0.000083\n", "Lithuania 35.0 0.000065\n", "Brazil 32.0 0.000059\n", "Czech Republic 30.0 0.000055\n", "Bahrain 19.0 0.000035\n", "Saudi Arabia 10.0 0.000018" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Let's see where our orders are from\n", "pd.DataFrame([df['Country'].value_counts(), df['Country'].value_counts(normalize=True)]).T" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Considering the fact that 91% of our orders are coming from the United Kingdom, we will focus on this country." ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "id": "vSrwRuhIzP8Q" }, "outputs": [ { "data": { "text/plain": [ "(495478, 7)" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_uk= df.loc[df['Country'] == 'United Kingdom']\n", "data_uk = data_uk.drop('Country', axis=1)\n", "data_uk.shape" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Now, do we have any missing values?" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "DrmyJNUjvBIn", "outputId": "9cc6b6af-8710-46d8-ea66-0b8d85e78053" }, "outputs": [ { "data": { "text/plain": [ "InvoiceNo 0\n", "StockCode 0\n", "Description 1454\n", "Quantity 0\n", "InvoiceDate 0\n", "UnitPrice 0\n", "CustomerID 133600\n", "dtype: int64" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_uk.isnull().sum()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "YK58pKJf3885", "outputId": "9d41fc0c-9d1e-4626-be23-7edad8173403" }, "outputs": [ { "data": { "text/html": [ "
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countproportion
Description
WHITE HANGING HEART T-LIGHT HOLDER2271.00.004597
JUMBO BAG RED RETROSPOT2001.00.004050
REGENCY CAKESTAND 3 TIER1859.00.003763
PARTY BUNTING1634.00.003308
LUNCH BAG RED RETROSPOT1460.00.002955
.........
MIA1.00.000002
PINK CRYSTAL GUITAR PHONE CHARM1.00.000002
showroom1.00.000002
TRAVEL CARD WALLET DOTCOMGIFTSHOP1.00.000002
ORANGE PENDANT TRIPLE SHELL NECKLAC1.00.000002
\n", "

4202 rows × 2 columns

\n", "
" ], "text/plain": [ " count proportion\n", "Description \n", "WHITE HANGING HEART T-LIGHT HOLDER 2271.0 0.004597\n", "JUMBO BAG RED RETROSPOT 2001.0 0.004050\n", "REGENCY CAKESTAND 3 TIER 1859.0 0.003763\n", "PARTY BUNTING 1634.0 0.003308\n", "LUNCH BAG RED RETROSPOT 1460.0 0.002955\n", "... ... ...\n", "MIA 1.0 0.000002\n", "PINK CRYSTAL GUITAR PHONE CHARM 1.0 0.000002\n", "showroom 1.0 0.000002\n", "TRAVEL CARD WALLET DOTCOMGIFTSHOP 1.0 0.000002\n", "ORANGE PENDANT TRIPLE SHELL NECKLAC 1.0 0.000002\n", "\n", "[4202 rows x 2 columns]" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# How many products do we sell and how much did we sell in our timeframe\n", "pd.DataFrame([data_uk['Description'].value_counts(), data_uk['Description'].value_counts(normalize=True)]).T" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Tf_bAoTFWr8l", "outputId": "bc20e806-0257-4116-f5f7-d304d4202803" }, "outputs": [ { "data": { "text/html": [ "
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countproportion
CustomerID
17841.07983.00.022060
14096.05128.00.014171
12748.04642.00.012828
14606.02782.00.007688
15311.02491.00.006884
.........
15668.01.00.000003
15657.01.00.000003
13307.01.00.000003
16138.01.00.000003
16765.01.00.000003
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3950 rows × 2 columns

\n", "
" ], "text/plain": [ " count proportion\n", "CustomerID \n", "17841.0 7983.0 0.022060\n", "14096.0 5128.0 0.014171\n", "12748.0 4642.0 0.012828\n", "14606.0 2782.0 0.007688\n", "15311.0 2491.0 0.006884\n", "... ... ...\n", "15668.0 1.0 0.000003\n", "15657.0 1.0 0.000003\n", "13307.0 1.0 0.000003\n", "16138.0 1.0 0.000003\n", "16765.0 1.0 0.000003\n", "\n", "[3950 rows x 2 columns]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Does some customers ordered a lot?\n", "pd.DataFrame([data_uk['CustomerID'].value_counts(), data_uk['CustomerID'].value_counts(normalize=True)]).T" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "nFLvQG0199CJ", "outputId": "20378690-52f6-4434-95f8-28df240042ad" }, "outputs": [ { "data": { "text/plain": [ "(361878, 7)" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# We remove the missing values\n", "data_uk = data_uk.dropna()\n", "data_uk.shape" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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InvoiceNoStockCodeDescriptionQuantityInvoiceDateUnitPriceCustomerIDTotalAmount
053636585123AWHITE HANGING HEART T-LIGHT HOLDER612/1/2010 8:262.5517850.015.30
153636571053WHITE METAL LANTERN612/1/2010 8:263.3917850.020.34
253636584406BCREAM CUPID HEARTS COAT HANGER812/1/2010 8:262.7517850.022.00
353636584029GKNITTED UNION FLAG HOT WATER BOTTLE612/1/2010 8:263.3917850.020.34
453636584029ERED WOOLLY HOTTIE WHITE HEART.612/1/2010 8:263.3917850.020.34
\n", "
" ], "text/plain": [ " InvoiceNo StockCode Description Quantity \n", "0 536365 85123A WHITE HANGING HEART T-LIGHT HOLDER 6 \\\n", "1 536365 71053 WHITE METAL LANTERN 6 \n", "2 536365 84406B CREAM CUPID HEARTS COAT HANGER 8 \n", "3 536365 84029G KNITTED UNION FLAG HOT WATER BOTTLE 6 \n", "4 536365 84029E RED WOOLLY HOTTIE WHITE HEART. 6 \n", "\n", " InvoiceDate UnitPrice CustomerID TotalAmount \n", "0 12/1/2010 8:26 2.55 17850.0 15.30 \n", "1 12/1/2010 8:26 3.39 17850.0 20.34 \n", "2 12/1/2010 8:26 2.75 17850.0 22.00 \n", "3 12/1/2010 8:26 3.39 17850.0 20.34 \n", "4 12/1/2010 8:26 3.39 17850.0 20.34 " ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Add a Total sales column \n", "data_uk['TotalAmount']= data_uk['Quantity'] * data_uk['UnitPrice']\n", "data_uk.head()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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QuantityUnitPriceCustomerIDTotalAmount
count361878.000000361878.000000361878.000000361878.000000
mean11.0770293.25600715547.87136818.702086
std263.12926670.6547311594.402590451.918484
min-80995.0000000.00000012346.000000-168469.600000
25%2.0000001.25000014194.0000003.750000
50%4.0000001.95000015514.00000010.200000
75%12.0000003.75000016931.00000017.700000
max80995.00000038970.00000018287.000000168469.600000
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" ], "text/plain": [ " Quantity UnitPrice CustomerID TotalAmount\n", "count 361878.000000 361878.000000 361878.000000 361878.000000\n", "mean 11.077029 3.256007 15547.871368 18.702086\n", "std 263.129266 70.654731 1594.402590 451.918484\n", "min -80995.000000 0.000000 12346.000000 -168469.600000\n", "25% 2.000000 1.250000 14194.000000 3.750000\n", "50% 4.000000 1.950000 15514.000000 10.200000\n", "75% 12.000000 3.750000 16931.000000 17.700000\n", "max 80995.000000 38970.000000 18287.000000 168469.600000" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_uk.describe()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "As expected, we have negative \"TotalAmount\", we have to remove them." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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InvoiceNoStockCodeDescriptionQuantityInvoiceDateUnitPriceCustomerIDTotalAmount
540422C58148423843PAPER CRAFT , LITTLE BIRDIE-8099512/9/2011 9:272.0816446.0-168469.60
61624C54143323166MEDIUM CERAMIC TOP STORAGE JAR-742151/18/2011 10:171.0412346.0-77183.60
222681C556445MManual-16/10/2011 15:3138970.0015098.0-38970.00
173277C551685POSTPOSTAGE-15/3/2011 12:518142.7516029.0-8142.75
173391C551699MManual-15/3/2011 14:126930.0016029.0-6930.00
...........................
485985577696MManual111/21/2011 11:570.0016406.00.00
358655568158PADSPADS TO MATCH ALL CUSHIONS19/25/2011 12:220.0016133.00.00
27932456128422167OVAL WALL MIRROR DIAMANTE17/26/2011 12:240.0016818.00.00
50212257884184826ASSTD DESIGN 3D PAPER STICKERS1254011/25/2011 15:570.0013256.00.00
44679457492023480MINI LIGHTS WOODLAND MUSHROOMS111/7/2011 16:340.0013985.00.00
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7557 rows × 8 columns

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" ], "text/plain": [ " InvoiceNo StockCode Description Quantity \n", "540422 C581484 23843 PAPER CRAFT , LITTLE BIRDIE -80995 \\\n", "61624 C541433 23166 MEDIUM CERAMIC TOP STORAGE JAR -74215 \n", "222681 C556445 M Manual -1 \n", "173277 C551685 POST POSTAGE -1 \n", "173391 C551699 M Manual -1 \n", "... ... ... ... ... \n", "485985 577696 M Manual 1 \n", "358655 568158 PADS PADS TO MATCH ALL CUSHIONS 1 \n", "279324 561284 22167 OVAL WALL MIRROR DIAMANTE 1 \n", "502122 578841 84826 ASSTD DESIGN 3D PAPER STICKERS 12540 \n", "446794 574920 23480 MINI LIGHTS WOODLAND MUSHROOMS 1 \n", "\n", " InvoiceDate UnitPrice CustomerID TotalAmount \n", "540422 12/9/2011 9:27 2.08 16446.0 -168469.60 \n", "61624 1/18/2011 10:17 1.04 12346.0 -77183.60 \n", "222681 6/10/2011 15:31 38970.00 15098.0 -38970.00 \n", "173277 5/3/2011 12:51 8142.75 16029.0 -8142.75 \n", "173391 5/3/2011 14:12 6930.00 16029.0 -6930.00 \n", "... ... ... ... ... \n", "485985 11/21/2011 11:57 0.00 16406.0 0.00 \n", "358655 9/25/2011 12:22 0.00 16133.0 0.00 \n", "279324 7/26/2011 12:24 0.00 16818.0 0.00 \n", "502122 11/25/2011 15:57 0.00 13256.0 0.00 \n", "446794 11/7/2011 16:34 0.00 13985.0 0.00 \n", "\n", "[7557 rows x 8 columns]" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_uk[data_uk['TotalAmount'] <= 0].sort_values('TotalAmount')" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index([12346.0, 12870.0, 12943.0, 13154.0, 13256.0, 13364.0, 13672.0, 13693.0,\n", " 13762.0, 13829.0, 13958.0, 14119.0, 14213.0, 14437.0, 14557.0, 14627.0,\n", " 14679.0, 14777.0, 14792.0, 15369.0, 15590.0, 15638.0, 15728.0, 15802.0,\n", " 15823.0, 16061.0, 16138.0, 16252.0, 16262.0, 16428.0, 16454.0, 16546.0,\n", " 16579.0, 16742.0, 16878.0, 16995.0, 17065.0, 17307.0, 17448.0, 17547.0,\n", " 17548.0, 17603.0, 17820.0, 18072.0, 18141.0, 18256.0, 18268.0, 18274.0],\n", " dtype='float64', name='CustomerID')" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "total_amounts = data_uk.groupby('CustomerID').agg(TotalAmount=('TotalAmount', 'sum'))\n", "customers_to_drop = total_amounts[total_amounts['TotalAmount'] <= 0.01].index\n", "customers_to_drop" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "id": "kPfrI1xk-TAH" }, "outputs": [ { "data": { "text/html": [ "
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InvoiceNoStockCodeDescriptionQuantityInvoiceDateUnitPriceCustomerIDTotalAmount
053636585123AWHITE HANGING HEART T-LIGHT HOLDER612/1/2010 8:262.5517850.015.30
153636571053WHITE METAL LANTERN612/1/2010 8:263.3917850.020.34
253636584406BCREAM CUPID HEARTS COAT HANGER812/1/2010 8:262.7517850.022.00
353636584029GKNITTED UNION FLAG HOT WATER BOTTLE612/1/2010 8:263.3917850.020.34
453636584029ERED WOOLLY HOTTIE WHITE HEART.612/1/2010 8:263.3917850.020.34
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" ], "text/plain": [ " InvoiceNo StockCode Description Quantity \n", "0 536365 85123A WHITE HANGING HEART T-LIGHT HOLDER 6 \\\n", "1 536365 71053 WHITE METAL LANTERN 6 \n", "2 536365 84406B CREAM CUPID HEARTS COAT HANGER 8 \n", "3 536365 84029G KNITTED UNION FLAG HOT WATER BOTTLE 6 \n", "4 536365 84029E RED WOOLLY HOTTIE WHITE HEART. 6 \n", "\n", " InvoiceDate UnitPrice CustomerID TotalAmount \n", "0 12/1/2010 8:26 2.55 17850.0 15.30 \n", "1 12/1/2010 8:26 3.39 17850.0 20.34 \n", "2 12/1/2010 8:26 2.75 17850.0 22.00 \n", "3 12/1/2010 8:26 3.39 17850.0 20.34 \n", "4 12/1/2010 8:26 3.39 17850.0 20.34 " ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Now we can remove those customers\n", "data_uk_vf = data_uk[~data_uk['CustomerID'].isin(customers_to_drop)]\n", "data_uk_vf.head()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "GKXa2o7IEvF7", "outputId": "71f2b5c3-ba04-41f1-a9d7-1273e4144bc1" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "3950\n", "48\n", "3902\n" ] } ], "source": [ "# Datasets number of customers checking \n", "print(data_uk['CustomerID'].nunique())\n", "print(len(customers_to_drop))\n", "print(data_uk_vf['CustomerID'].nunique())" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Now, we need to remove the cancelled orders." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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QuantityUnitPriceCustomerIDTotalAmount
count361546.000000361546.0000361546.000000361546.000000
mean11.0570613.229415547.49252718.752073
std195.95100470.24181594.247389413.998350
min-80995.0000000.000012747.000000-168469.600000
25%2.0000001.250014194.0000003.750000
50%4.0000001.950015514.00000010.200000
75%12.0000003.750016931.00000017.700000
max80995.00000038970.000018287.000000168469.600000
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" ], "text/plain": [ " Quantity UnitPrice CustomerID TotalAmount\n", "count 361546.000000 361546.0000 361546.000000 361546.000000\n", "mean 11.057061 3.2294 15547.492527 18.752073\n", "std 195.951004 70.2418 1594.247389 413.998350\n", "min -80995.000000 0.0000 12747.000000 -168469.600000\n", "25% 2.000000 1.2500 14194.000000 3.750000\n", "50% 4.000000 1.9500 15514.000000 10.200000\n", "75% 12.000000 3.7500 16931.000000 17.700000\n", "max 80995.000000 38970.0000 18287.000000 168469.600000" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_uk_vf.describe()" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CustomerIDDescriptionQuantityUnitPriceTotalAmount
14114527.0Discount127.5027.50
15415311.0SET OF 3 COLOURED FLYING DUCKS14.654.65
93917897.0JAM MAKING SET WITH JARS64.2525.50
144117841.0HAND WARMER RED RETROSPOT12.102.10
144217841.0CHARLOTTE BAG SUKI DESIGN20.851.70
\n", "
" ], "text/plain": [ " CustomerID Description Quantity UnitPrice \n", "141 14527.0 Discount 1 27.50 \\\n", "154 15311.0 SET OF 3 COLOURED FLYING DUCKS 1 4.65 \n", "939 17897.0 JAM MAKING SET WITH JARS 6 4.25 \n", "1441 17841.0 HAND WARMER RED RETROSPOT 1 2.10 \n", "1442 17841.0 CHARLOTTE BAG SUKI DESIGN 2 0.85 \n", "\n", " TotalAmount \n", "141 27.50 \n", "154 4.65 \n", "939 25.50 \n", "1441 2.10 \n", "1442 1.70 " ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_uk_null = data_uk_vf[data_uk_vf['TotalAmount'] < 0]\n", "data_uk_null['Quantity'] = - data_uk_null['Quantity']\n", "data_uk_null['TotalAmount'] = - data_uk_null['TotalAmount']\n", "data_uk_null = data_uk_null[['CustomerID', 'Description', 'Quantity', 'UnitPrice', 'TotalAmount']]\n", "\n", "data_uk_not_null = data_uk_vf[data_uk_vf['TotalAmount'] >= 0]\n", "data_uk_not_null['Quantity'] = - data_uk_not_null['Quantity']\n", "data_uk_not_null['TotalAmount'] = - data_uk_not_null['TotalAmount']\n", "data_uk_not_null = data_uk_not_null[['CustomerID', 'Description', 'Quantity', 'UnitPrice', 'TotalAmount']]\n", "\n", "df_concat = pd.concat([data_uk_null, data_uk_not_null])\n", "df_concat = df_concat.drop_duplicates()\n", "df_concat.head()" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CustomerIDQuantityUnitPriceTotalAmount
count41968.00000041968.00000041968.0000041968.000000
mean15493.02573411.6825912.8650620.442044
std1622.46228540.1293253.4675164.607734
min12747.0000001.0000000.040000.120000
25%14107.0000002.0000001.250003.900000
50%15365.0000004.0000001.9500010.200000
75%16910.00000012.0000003.7500017.700000
max18287.0000003114.000000295.000006539.400000
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" ], "text/plain": [ " CustomerID Quantity UnitPrice TotalAmount\n", "count 41968.000000 41968.000000 41968.00000 41968.000000\n", "mean 15493.025734 11.682591 2.86506 20.442044\n", "std 1622.462285 40.129325 3.46751 64.607734\n", "min 12747.000000 1.000000 0.04000 0.120000\n", "25% 14107.000000 2.000000 1.25000 3.900000\n", "50% 15365.000000 4.000000 1.95000 10.200000\n", "75% 16910.000000 12.000000 3.75000 17.700000\n", "max 18287.000000 3114.000000 295.00000 6539.400000" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_uk_concat = pd.concat([df_concat, data_uk_vf])\n", "null_quantity = data_uk_concat[data_uk_concat['Quantity'] < 0]\n", "data_uk_concat = data_uk_concat.drop(null_quantity.index)\n", "data_uk_concat = data_uk_concat.drop_duplicates(subset=['CustomerID', 'Description', 'Quantity', 'UnitPrice', 'TotalAmount'])\n", "data_uk_concat.describe()" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 513 }, "id": "0vRxzy-MNM66", "outputId": "453222d9-195e-4f2b-c1ef-c34ca4ab754d" }, "outputs": [ { "data": { "text/html": [ "
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CustomerIDDescriptionQuantityUnitPriceTotalAmountInvoiceNoStockCodeInvoiceDate
16054615749.0FAIRY CAKE FLANNEL ASSORTED COLOUR31142.106539.40550461211084/18/2011 13:20
8432318102.0VINTAGE UNION JACK MEMOBOARD5046.383215.52543379216232/7/2011 15:37
8763116029.0GROW A FLYTRAP OR SUNFLOWER IN TIN24000.942256.00543669226932/11/2011 11:22
48879916532.0CHILLI LIGHTS4804.652232.005778527932111/22/2011 11:08
39055716029.0FELTCRAFT DOLL MOLLY7202.551836.005705572227310/11/2011 11:15
\n", "
" ], "text/plain": [ " CustomerID Description Quantity UnitPrice \n", "160546 15749.0 FAIRY CAKE FLANNEL ASSORTED COLOUR 3114 2.10 \\\n", "84323 18102.0 VINTAGE UNION JACK MEMOBOARD 504 6.38 \n", "87631 16029.0 GROW A FLYTRAP OR SUNFLOWER IN TIN 2400 0.94 \n", "488799 16532.0 CHILLI LIGHTS 480 4.65 \n", "390557 16029.0 FELTCRAFT DOLL MOLLY 720 2.55 \n", "\n", " TotalAmount InvoiceNo StockCode InvoiceDate \n", "160546 6539.40 550461 21108 4/18/2011 13:20 \n", "84323 3215.52 543379 21623 2/7/2011 15:37 \n", "87631 2256.00 543669 22693 2/11/2011 11:22 \n", "488799 2232.00 577852 79321 11/22/2011 11:08 \n", "390557 1836.00 570557 22273 10/11/2011 11:15 " ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Sort dataset by total amount of sales \n", "column_to_sort = 'TotalAmount'\n", "sorted_data_amount = data_uk_concat.sort_values(by=column_to_sort, ascending=False)\n", "sorted_data_amount.head()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Let's see when the orders are placed." ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "id": "D1Xjr7JExclk" }, "outputs": [ { "data": { "text/plain": [ "(41968, 12)" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Converting Invoicedate to datetime\n", "data_uk_concat[\"InvoiceDate\"] = pd.to_datetime(data_uk_concat[\"InvoiceDate\"], format='%m/%d/%Y %H:%M')\n", "data_uk_concat[\"Month\"] = data_uk_concat[\"InvoiceDate\"].apply(lambda x: x.month)\n", "data_uk_concat[\"Day\"] = data_uk_concat[\"InvoiceDate\"].apply(lambda x: x.day)\n", "data_uk_concat[\"Year\"] = data_uk_concat[\"InvoiceDate\"].apply(lambda x: x.year)\n", "data_uk_concat[\"Hour\"] = data_uk_concat[\"InvoiceDate\"].apply(lambda x: x.hour)\n", "data_uk_concat.shape" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 548 }, "id": "fl2yf6AJyQLB", "outputId": "24e305f8-68e9-4273-cea7-305c10bb2966" }, "outputs": [ { "data": { "text/html": [ "
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CustomerIDDescriptionQuantityUnitPriceTotalAmountInvoiceNoStockCodeInvoiceDateMonthDayYearHour
4717850.0HAND WARMER RED POLKA DOT61.8511.10536372226322010-12-01 09:01:0012120109
4817850.0HAND WARMER UNION JACK61.8511.10536372226332010-12-01 09:01:0012120109
4917850.0WHITE HANGING HEART T-LIGHT HOLDER62.5515.3053637385123A2010-12-01 09:02:0012120109
5017850.0WHITE METAL LANTERN63.3920.34536373710532010-12-01 09:02:0012120109
5117850.0CREAM CUPID HEARTS COAT HANGER82.7522.0053637384406B2010-12-01 09:02:0012120109
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" ], "text/plain": [ " CustomerID Description Quantity UnitPrice \n", "47 17850.0 HAND WARMER RED POLKA DOT 6 1.85 \\\n", "48 17850.0 HAND WARMER UNION JACK 6 1.85 \n", "49 17850.0 WHITE HANGING HEART T-LIGHT HOLDER 6 2.55 \n", "50 17850.0 WHITE METAL LANTERN 6 3.39 \n", "51 17850.0 CREAM CUPID HEARTS COAT HANGER 8 2.75 \n", "\n", " TotalAmount InvoiceNo StockCode InvoiceDate Month Day Year \n", "47 11.10 536372 22632 2010-12-01 09:01:00 12 1 2010 \\\n", "48 11.10 536372 22633 2010-12-01 09:01:00 12 1 2010 \n", "49 15.30 536373 85123A 2010-12-01 09:02:00 12 1 2010 \n", "50 20.34 536373 71053 2010-12-01 09:02:00 12 1 2010 \n", "51 22.00 536373 84406B 2010-12-01 09:02:00 12 1 2010 \n", "\n", " Hour \n", "47 9 \n", "48 9 \n", "49 9 \n", "50 9 \n", "51 9 " ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_uk_concat.head()" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "VW81uQSJ9xDQ", "outputId": "63667fe8-97d8-4bcc-a9da-00272f9029e7" }, "outputs": [ { "data": { "text/html": [ "
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countproportion
Year
201140879.00.974052
20101089.00.025948
\n", "
" ], "text/plain": [ " count proportion\n", "Year \n", "2011 40879.0 0.974052\n", "2010 1089.0 0.025948" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Orders per year\n", "pd.DataFrame([data_uk_concat['Year'].value_counts(), data_uk_concat['Year'].value_counts(normalize=True)]).T" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "-DiEveyp-ADw" }, "source": [ "The articles have been mainly bought in 2011 (97%). It was to be expected, we only have one month of 2010 vs 11 in 2011. " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "FvIDyEu1_01I" }, "source": [ "## Top 20 products analysis" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CustomerIDDescriptionQuantityUnitPriceTotalAmountInvoiceNoStockCodeInvoiceDateMonthDayYearHour
4717850.0HAND WARMER RED POLKA DOT61.8511.10536372226322010-12-01 09:01:0012120109
4817850.0HAND WARMER UNION JACK61.8511.10536372226332010-12-01 09:01:0012120109
4917850.0WHITE HANGING HEART T-LIGHT HOLDER62.5515.3053637385123A2010-12-01 09:02:0012120109
5017850.0WHITE METAL LANTERN63.3920.34536373710532010-12-01 09:02:0012120109
5117850.0CREAM CUPID HEARTS COAT HANGER82.7522.0053637384406B2010-12-01 09:02:0012120109
.......................................
54188315804.0BOX OF 24 COCKTAIL PARASOLS250.4210.50581585846922011-12-09 12:31:00129201112
54188415804.0ANTIQUE SILVER T-LIGHT GLASS121.2515.00581585849462011-12-09 12:31:00129201112
54188615804.0MAGNETS PACK OF 4 SWALLOWS120.394.68581585223982011-12-09 12:31:00129201112
54189113113.0SET OF 3 HANGING OWLS OLLIE BEAK241.2530.00581586232752011-12-09 12:49:00129201112
54189213113.0RED RETROSPOT ROUND CAKE TINS248.95214.80581586212172011-12-09 12:49:00129201112
\n", "

41968 rows × 12 columns

\n", "
" ], "text/plain": [ " CustomerID Description Quantity UnitPrice \n", "47 17850.0 HAND WARMER RED POLKA DOT 6 1.85 \\\n", "48 17850.0 HAND WARMER UNION JACK 6 1.85 \n", "49 17850.0 WHITE HANGING HEART T-LIGHT HOLDER 6 2.55 \n", "50 17850.0 WHITE METAL LANTERN 6 3.39 \n", "51 17850.0 CREAM CUPID HEARTS COAT HANGER 8 2.75 \n", "... ... ... ... ... \n", "541883 15804.0 BOX OF 24 COCKTAIL PARASOLS 25 0.42 \n", "541884 15804.0 ANTIQUE SILVER T-LIGHT GLASS 12 1.25 \n", "541886 15804.0 MAGNETS PACK OF 4 SWALLOWS 12 0.39 \n", "541891 13113.0 SET OF 3 HANGING OWLS OLLIE BEAK 24 1.25 \n", "541892 13113.0 RED RETROSPOT ROUND CAKE TINS 24 8.95 \n", "\n", " TotalAmount InvoiceNo StockCode InvoiceDate Month Day Year \n", "47 11.10 536372 22632 2010-12-01 09:01:00 12 1 2010 \\\n", "48 11.10 536372 22633 2010-12-01 09:01:00 12 1 2010 \n", "49 15.30 536373 85123A 2010-12-01 09:02:00 12 1 2010 \n", "50 20.34 536373 71053 2010-12-01 09:02:00 12 1 2010 \n", "51 22.00 536373 84406B 2010-12-01 09:02:00 12 1 2010 \n", "... ... ... ... ... ... ... ... \n", "541883 10.50 581585 84692 2011-12-09 12:31:00 12 9 2011 \n", "541884 15.00 581585 84946 2011-12-09 12:31:00 12 9 2011 \n", "541886 4.68 581585 22398 2011-12-09 12:31:00 12 9 2011 \n", "541891 30.00 581586 23275 2011-12-09 12:49:00 12 9 2011 \n", "541892 214.80 581586 21217 2011-12-09 12:49:00 12 9 2011 \n", "\n", " Hour \n", "47 9 \n", "48 9 \n", "49 9 \n", "50 9 \n", "51 9 \n", "... ... \n", "541883 12 \n", "541884 12 \n", "541886 12 \n", "541891 12 \n", "541892 12 \n", "\n", "[41968 rows x 12 columns]" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_uk_concat" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 763 }, "id": "_HVlyRXY_o7Z", "outputId": "e5647e2c-67e8-4df7-a430-d1a4ce623f10" }, "outputs": [ { "data": { "text/html": [ "
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Product_nameQuantity
0JUMBO BAG RED RETROSPOT7135
1WORLD WAR 2 GLIDERS ASSTD DESIGNS6009
2GROW A FLYTRAP OR SUNFLOWER IN TIN4920
3ASSORTED COLOUR BIRD ORNAMENT4773
4WHITE HANGING HEART T-LIGHT HOLDER4559
5POPCORN HOLDER4216
6PACK OF 72 RETROSPOT CAKE CASES3975
7VICTORIAN GLASS HANGING T-LIGHT3936
8PACK OF 12 LONDON TISSUES3924
9JUMBO BAG PINK POLKADOT3565
10FAIRY CAKE FLANNEL ASSORTED COLOUR3296
11BROCADE RING PURSE3277
12SMALL CHINESE STYLE SCISSOR3030
13PACK OF 60 PINK PAISLEY CAKE CASES2853
14JUMBO BAG APPLES2780
15JUMBO BAG STRAWBERRY2770
16SMALL POPCORN HOLDER2750
17LUNCH BAG RED RETROSPOT2725
18JUMBO BAG ALPHABET2668
19PARTY BUNTING2560
\n", "
" ], "text/plain": [ " Product_name Quantity\n", "0 JUMBO BAG RED RETROSPOT 7135\n", "1 WORLD WAR 2 GLIDERS ASSTD DESIGNS 6009\n", "2 GROW A FLYTRAP OR SUNFLOWER IN TIN 4920\n", "3 ASSORTED COLOUR BIRD ORNAMENT 4773\n", "4 WHITE HANGING HEART T-LIGHT HOLDER 4559\n", "5 POPCORN HOLDER 4216\n", "6 PACK OF 72 RETROSPOT CAKE CASES 3975\n", "7 VICTORIAN GLASS HANGING T-LIGHT 3936\n", "8 PACK OF 12 LONDON TISSUES 3924\n", "9 JUMBO BAG PINK POLKADOT 3565\n", "10 FAIRY CAKE FLANNEL ASSORTED COLOUR 3296\n", "11 BROCADE RING PURSE 3277\n", "12 SMALL CHINESE STYLE SCISSOR 3030\n", "13 PACK OF 60 PINK PAISLEY CAKE CASES 2853\n", "14 JUMBO BAG APPLES 2780\n", "15 JUMBO BAG STRAWBERRY 2770\n", "16 SMALL POPCORN HOLDER 2750\n", "17 LUNCH BAG RED RETROSPOT 2725\n", "18 JUMBO BAG ALPHABET 2668\n", "19 PARTY BUNTING 2560" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_products = data_uk_concat.groupby('Description')['Quantity'].sum()\n", "df_products = pd.DataFrame(df_products.sort_values(ascending=False)).iloc[:20, :]\n", "df_products = df_products.reset_index()\n", "df_products = df_products.rename(columns={'Description':'Product_name'})\n", "df_products = df_products[['Product_name','Quantity']]\n", "df_products" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 412 }, "id": "VsvDWZDOAXeY", "outputId": "79f48af7-3656-469f-85bc-0d0007ec3276" }, "outputs": [ { "data": { "image/png": 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iIgKvXr1CkyZNEB8fj6qqKlY+JSUlbNiwAQMHDkTbtm0xatQoGBkZ4c6dO8jMzGSCQ/HDxKZOnYrevXuDy+XCz88PQUFBePXqFXr27AlTU1M8evQI69atQ9u2bZn7tOURCAT49ttvMWHCBFRUVDCB2qxZsyTyjhgxAjNmzAAAhZc2L1iwAMePH0f37t0xceJEVFVVYd26dXBwcMCNGzdYeYOCgrBs2TIEBQWhQ4cOOHPmDDNbX9uAAQPwxx9/QEdHB/b29rhw4QJOnjyJpk2bKtQmadq3b48NGzZg0aJFEAgEaNasmdSl+OK8u3btwvTp09GxY0fw+XwMHDiQ2T9s2DDMmjUL+/btw4QJE5jXXRFCGugzPjmaEEIIIf8i0l51U1JSIpo2bZrI2NhYpKKiIrK2thb9/PPPrNe6iETvXxUzadIk0bZt20TW1tYiHo8nateuHev1LbLMmzePeeWRtK1uGa9evRKNGTNG1LRpU5GGhobIxcVFdPnyZYX62LJlS1H//v1FJ06cELVu3VrE4/FEdnZ2ooSEBFY+8StsZJW7fv16kZ2dnUhFRUXUvHlz0YQJEyReIyQSiUTR0dEiCwsLEY/HE3Xo0EF05swZkYuLi8Rrae7fvy9yd3cX8Xg8UfPmzUWzZ88WJScnS+3/2bNnRR4eHiItLS2RpqamqHXr1qJ169Yx+6uqqkRTpkwRGRgYiDgcDnNO9+zZI+rVq5eoWbNmIlVVVVGLFi1E48aNE+Xl5ckdM/Ergn7++WfRqlWrRGZmZiIejyfq3r276Pr161KPycvLE3G5XJGNjY3csus6ffq0qH379iJVVVWRpaWlaOPGjcz1Udvbt29FY8aMEeno6Ii0tLREPj4+ohcvXki8suj169eiUaNGifT19UV8Pl/Uu3dv0Z07d0QtW7YUBQYGMvlknW9pryHKz88X9e/fX6SlpcV6/ZS0vG/evBENGzZMpKurKwIg9fVF/fr1EwEQnT9/vkFjRQj5PxyR6B+4854QQgghpBYOh4NJkyZJLIX+0pibm8PR0RGHDx/+3E1p1P773//CyMgIkZGR+PHHHz+qrPnz52PBggX/yMOkvgSenp64efOmQvdVE0Kko3t6CSGEEELI/1RcXByqq6vpwUz1yMvLw5EjR2icCPlIdE8vIYQQQgj5n/jzzz9x+/ZtLF68GEOGDKn3adhfq4cPH+LcuXPYvHkzVFRUMG7cuM/dJEL+1SjoJYQQQggh/xMLFy7E+fPn0a1bN6xbt+5zN+eLdfr0aYwaNQotWrTAli1b6n1qOCFEPrqnlxBCCCGEEEJIo0X39BJCCCGEEEIIabQo6CWEEEIIIYQQ0mjRPb2EEFJHTU0Nnj9/Di0tLXA4nM/dHEIIIYQQUodIJEJJSQmMjY2hpCR/LpeCXkIIqeP58+cwMzP73M0ghBBCCCH1ePLkCUxNTeXmoaCXEELq0NLSAvD+H1Ftbe3P3BpCCCGEEFJXcXExzMzMmL/b5KGglxBC6hAvaX63+xgq1NU/c2sIIYQQQr58BhMCPku9ityKRg+yIoQQQgghhBDSaFHQSwghhBBCCCGk0aKglxBCCCGEEEJIo0VBLyGEEEIIIYSQRouC3kZo5MiRGDJkCADA1dUVoaGhEnni4uKgq6vLfJ4/fz44HA769Okjkffnn38Gh8OBq6urRH7xpqOjg+7du+P06dMSx2/ZsgUdO3aEhoYGtLS04OLigsOHD9fbD3Nzc6Z8LpcLY2NjjBkzBq9fv5aa387ODjweD/n5+VL3p6SkYMCAATAwMICamhqsrKzg6+uLM2fOKNwODQ0NODk5YfPmzaw8qamprPGovYnbU3vMlJWVoa+vjx49emDNmjWoqKiQ24a4uDjmWCUlJRgZGcHX1xePHz9m5XN1dZXahvHjx7PKkLXl5uay2snlcmFmZoaxY8fi1atXEu06f/48+vXrBz09PaipqcHJyQmrV69GdXU1K9/p06fRs2dPNGnSBBoaGrC2tkZgYCDevXsndfyaN2+OoUOH4sGDBw2qT9E+EkIIIYSQrwcFvYRhZGSElJQUPH36lJUeExODFi1aSOR3cHBAXl4e8vLycOHCBVhbW2PAgAEoKipi8syYMQPjxo2Dr68vbty4gUuXLuHbb7/F4MGDsX79+nrbtHDhQuTl5eHx48fYvn07zpw5g6lTp0rkO3v2LMrKyuDl5YUtW7ZI7I+OjsZ3332Hpk2bYteuXcjOzsa+ffvQtWtXTJs2TeF23Lp1CwEBAQgODsaxY8ck8mVnZzNjIt6aNWsmMWaPHz9GSkoKvL29sXTpUnTt2hUlJSVy26CtrY28vDw8e/YMiYmJyM7Ohre3t0S+4OBgiTasWLECvr6+rLQuXbpI5BW/m7Z2O2NjY3H8+HFMmDCBVc++ffvg4uICU1NTpKSk4M6dOwgJCcGiRYvg5+cHkUgEALh9+zb69OmDDh064MyZM7h58ybWrVsHVVVVieA4Ozsbz58/R0JCAjIzMzFw4EAmjyL1NaSPhBBCCCHk60CvLCKMZs2aoX379tiyZQvmzJkD4P3M2n//+194e3vj9u3brPzKysowNDQEABgaGmLhwoWIjY1FTk4OOnbsiIsXL2LVqlX45ZdfMGXKFOa4xYsXo7y8HNOnT8fgwYPlBiFaWlpMHSYmJggMDMTOnTsl8gmFQgwbNgwuLi4ICQlBeHg4s+/x48cIDQ1FaGgoVq9ezTqudevWUoNoee0IDw/HihUrkJycjL59+0qMYe0Z9Lpqj5mxsTGcnJzg4eGBNm3aYPny5Vi0aJHMYzkcDnOskZERxowZg6lTp6K4uJj1LlkNDQ0mX13qtV6/o6qqKjNv7XaamJjA29sbsbGxzP7S0lIEBwdj0KBB+O2335j0oKAgNG/eHIMGDcLu3bvh6+uLpKQkGBoaYsWKFUw+KysrqasKxONnZGSEyMhIDB8+HPfu3YOpqanC9SnaR0IIIYQQ8nWgmV7CMnr0aMTFxTGfY2JiMHz4cKiqqso9rqKiArGxsdDV1YWtrS0AYOfOneDz+Rg3bpxE/rCwMFRWViIxMVHhtj179gyHDh1C586dWeklJSVISEhAQEAAPDw8UFRUhLS0NGZ/YmIiKisrMWvWLKnlKvJuL7GamhokJibi9evX9Y6Jouzs7NC3b1/s3btX4WNevHiBffv2gcvlgsvlfpJ2yJKbm4sTJ06w+puUlISCggLMmDFDIv/AgQNhY2PD/DhhaGiIvLy8epeR1yUOXt+9e9eg+j5ERUUFiouLWRshhBBCCGkcKOglLAMGDEBxcTHOnDmD0tJS7N69G6NHj5aa9+bNm+Dz+eDz+VBXV8fKlSuxc+dOZtYxJycHVlZWUoNDY2NjaGtrIycnR257wsPDmfJNTU3B4XAkZmvj4+NhbW0NBwcHcLlc+Pn5QSgUMvtzcnKgra3Nmu1LTExk2s7n83Hz5k2F2sHj8eDl5QU9PT0EBQVJ5DM1NWWV6+DgILdcMTs7u3rvNS0qKgKfz4empiaaN2+OlJQUTJo0CZqamqx80dHRrDbw+Xxs375doXaIic+turo6LCwskJmZyZo9F5+3Vq1ayeyPOI+3tzf8/f3h4uICIyMjeHp6Yv369XIDy7y8PKxcuRImJiawtbVtUH0fYunSpdDR0WE2WgJNCCGEENJ4UNBLWFRUVBAQEIDY2FgkJCTAxsYGrVu3lprX1tYWGRkZyMjIwF9//YUJEybA29sbV65cYfKI7+v8UDNnzkRGRgZu3LiBU6dOAQD69+/Puhc0JiYGAQEBzOeAgAAkJCSw7pGtO5vbu3dvZGRk4MiRIygtLZW4t1RWO/7880907twZUVFREAgEEvnS0tKYMcnIyMDRo0cV6qdIJKp3xllLSwsZGRm4cuUKVq1ahW+++QaLFy+WyDd8+HBWGzIyMjBo0CCF2iEmPreXL19GeHg4evfuzVqiXrvd9eFyuYiNjcXTp0+xYsUKmJiYYMmSJcx9w7WZmppCU1MTxsbGKC0tRWJiIutHk4+9nmSJiIhAUVERsz158uQfqYcQQgghhPzvUdDbyGlra7MeLCVWWFgIHR0dqceMHj0aCQkJ+PXXX2XO8gLv75cUCAQQCARo164dli1bBhMTE6xZswYAYGNjgwcPHjBP6K3t+fPnKC4uho2Njdz26+vrQyAQwNraGj179sSaNWtw/vx5pKSkAHj/kKSLFy9i1qxZUFZWhrKyMpydnfH27VvEx8cDAKytrVFUVMR6qjOfz4dAIEDLli3l1l+3Hd27d0dCQgKmTp0qcY8zAFhYWDBj0pDys7KyYGFhITePkpISBAIBWrVqhenTp8PZ2Vni4VIAoKOjw2qDQCCAlpaWQu0QE59bR0dHLFu2DFwuFwsWLGD2i89bVlaWzP7UPbcmJib4/vvvsX79emRmZqK8vBwbN25k5UlLS8ONGzdQXFyMjIwMZin7h9TXEDweD9ra2qyNEEIIIYQ0DhT0NnK2tra4evWqRPrVq1dlBgkODg5wcHDArVu3MGzYsAbVx+VyUVZWBgDw8/PDmzdvsGnTJol8K1euhIqKCoYOHdrg8gEwdQiFQvTo0QPXr19nzWxOnz6dWeLs5eUFFRUVLF++vEF1yWJmZgZfX19ERER8kvLu3LmD48ePN3gsfvjhB+zatUvq+f3U5s6di5UrV+L58+cAgF69eqFJkyZYtWqVRN6DBw/i7t278Pf3l1menp4ejIyMUFpaykq3sLCAlZWVRJD+sfURQgghhJCvFz29uZGbMGEC1q9fj6lTpyIoKAg8Hg9HjhzBzp07cejQIZnH/fnnn6isrJT7JOKqqipm9rSkpAS7du3C7du3mXs/u3TpgpCQEMycORPv3r3DkCFDUFlZiW3btmHt2rVYs2ZNvfdOlpSUID8/HyKRCE+ePMGsWbNgYGCArl27orKyEn/88QcWLlwIR0dH1nFBQUFYvXo1MjMz4eDggFWrViEkJASvXr3CyJEjYWFhgVevXmHbtm0A0OCHQYWEhMDR0RFXrlxBhw4dmPQXL16gvLyclbdp06ZQUVFhjVlNTQ0KCgqQmpqKRYsWoW3btpg5c2aD2mBmZgZPT09ERkay3nv89u1biXcV83g86OnpNaj82rp06YLWrVtjyZIlWL9+PTQ1NbFp0yb4+flh7NixmDx5MrS1tXHq1CnMnDkTXl5e8PHxAQBs2rQJGRkZ8PT0hJWVFcrLy7F161ZkZmZi3bp1CtXfkPoIIYQQQgipjWZ6G6GamhooK7//PcPS0hJnzpzBnTt34O7ujs6dO2P37t1ISEiQ+soYMU1NTbkBLwBkZmbCyMgIRkZGaNu2LXbv3o0NGzZgxIgRTJ41a9YgOjoaO3fuhKOjI/Ou1v3790u9R7SuyMhIGBkZwdjYGAMGDICmpiaSkpLQtGlTHDx4EAUFBfD09JQ4rlWrVmjVqhUz2ztlyhQkJSXh5cuX8PLygrW1Nfr164eHDx/i+PHjcHJyqrcttdnb26NXr16IjIxkpdva2jJjIt7++usviTFr0aIFXF1dsXv3bkRERCAtLQ18Pr9BbQCAadOm4ciRI7h06RKT9vvvv0u04VPMgk6bNg2bN29m7nf18vJCSkoKHj9+jO7du8PW1hZRUVGYM2cO4uPjmXuUO3XqhDdv3mD8+PFwcHCAi4sLLl68iP3798PFxUXh+hWtjxBCCCGEkNo4on/qyTDks+nTpw8EAgHWr1//uZtCyL9ScXExdHR0cH/Vb9Cq9d5fQgghhBAincGEgPozfULiv9eKiorqfR4LzfQ2Iq9fv8bhw4eRmpoKd3f3z90cQgghhBBCCPns6J7eRmT06NG4fPkywsLCMHjw4M/dHEIIIYQQQgj57CjobUT27dv3uZtACCGEEEIIIV8UCnoJIUQG/SBfemcvIYQQQsi/HN3TSwghhBBCCCGk0aKglxBCCCGEEEJIo0VBLyGEEEIIIYSQRovu6SWEEBn+3rwCb9XVPnczCCGEENIAhhPmfu4mkC8MzfQSQgghhBBCCGm0KOglhBBCCCGEENJoUdBLCCGEEEIIIaTRoqCXEEIIIYQQQkij9UUEvRs3boSWlhaqqqqYtDdv3kBFRQWurq6svKmpqeBwOLh//z6Tdv78efTr1w96enpQU1ODk5MTVq9ejerqataxHA6H2bS1tdGxY0ccOHCAlScuLg66uroy2zpy5EimDBUVFTRv3hweHh6IiYlBTU2NzOOOHz8ODoeD/Px8VrqRkRHMzc1Zabm5ueBwODh16hST9vTpU6iqqsLR0VFq+Yr0ra7c3FyMGTMGFhYWUFdXh5WVFebNm4d3797JPQ4Arl27Bl9fXxgZGYHH46Fly5YYMGAADh06BJFIxOpHRkaG1DLqjnVcXBzTBy6XCz09PXTu3BkLFy5EUVER69ja56H21qdPHyaPubk5k66hoQEnJyds3rxZoh2///472rRpAz6fD11dXbRr1w5Lly6tdwwAoHfv3uByubh8+bLEvpcvX2LChAlo0aIFeDweDA0N0bt3b5w7d47Jc/36dQwaNAjNmjWDmpoazM3N4evrixcvXmD+/PlS+1h7qzsWDbkmAbDqUFZWhr6+Pnr06IE1a9agoqKCldfV1VVqG8aPH8/kOX36NHr27IkmTZpAQ0MD1tbWCAwMZK4p8fe3sLCQOUYkEuH3339Hly5doK2tDT6fDwcHB4SEhODevXsSba1dHwBkZGSAw+EgNzeXSdu3bx+cnZ2ho6MDLS0tODg4IDQ0VO5YEEIIIYSQxumLCHrd3Nzw5s0bXLlyhUlLS0uDoaEh0tPTUV5ezqSnpKSgRYsWsLKyAvD+j1sXFxeYmpoiJSUFd+7cQUhICBYtWgQ/Pz8mABOLjY1FXl4erly5gm7dusHLyws3b95sUHv79OmDvLw85Obm4tixY3Bzc0NISAgGDBjACtxr+/bbb6GsrIzU1FQmLSsrC2VlZXj9+jXrD/aUlBTweDx069aNSYuLi4OPjw+Ki4uRnp4utY6G9u3OnTuoqanBpk2bkJmZiaioKGzcuBGzZ8+W2/8DBw7A2dkZb968wZYtW5CVlYXjx4/D09MTc+fOlQhQG0JbWxt5eXl4+vQpzp8/j7Fjx2Lr1q1o27Ytnj9/zsorPg+1t507d7LyLFy4EHl5ebh16xYCAgIQHByMY8eOMftjYmIQGhqKqVOnIiMjA+fOncOsWbPw5s2betv6+PFjnD9/HpMnT0ZMTIzE/qFDh+LatWvYsmULcnJycPDgQbi6uqKgoADA+6D4u+++Q5MmTXDixAlkZWUhNjYWxsbGKC0txYwZM1h9MzU1Zfoj3uqORUOuSTEHBwfk5eXh8ePHSElJgbe3N5YuXYquXbuipKSElTc4OFhizFesWAEAuH37Nvr06YMOHTrgzJkzuHnzJtatWwdVVVWJH6DERCIRhg0bhqlTp6Jfv35ISkrC7du3IRQKoaamhkWLFrHyq6mpQSgU4u7duzL7c+rUKfj6+mLo0KG4dOkS/vrrLyxevBiVlZVyx4EQQgghhDROX8Qri2xtbWFkZITU1FQ4OzsDeD8jNHjwYPz555+4ePEiM+ObmpoKNzc3AEBpaSmCg4MxaNAg/Pbbb0x5QUFBaN68OQYNGoTdu3fD19eX2aerqwtDQ0MYGhrip59+wtq1a5GSkgInJyeF2yuetQMAExMTfPPNN3B2dsZ3332HuLg4BAUFSRzD5/PRsWNHpKamws/Pj+nLt99+i5qaGqSmpmLkyJFMurOzM9TU3r8qRSQSITY2FtHR0TA1NYVQKETnzp0l6mho3/r06cOaGbW0tER2djY2bNiAlStXSj2mtLQUY8aMQf/+/bF3717WvlatWmHMmDESPzQ0BIfDYcbWyMgIrVq1wsCBA+Hg4IBZs2Zh27ZtTN7a50EWLS0tJk94eDhWrFiB5ORk9O3bFwBw8OBB+Pj4YMyYMcwxDg4OCrU1NjYWAwYMwIQJE+Ds7IzVq1dDXV0dAFBYWIi0tDSkpqbCxcUFANCyZUt06tSJOf7cuXMoKirC5s2boaz8/qtoYWHBXN/A++tGjMvlsvpT24dck2LKysrMscbGxnBycoKHhwfatGmD5cuXswJPDQ0NmWOelJQEQ0NDJggGACsrK9Y1VteuXbsQHx+PAwcOYNCgQUx6ixYt4OzsLHEt2draolmzZpgzZw52794ttcxDhw6hW7dumDlzJpNmY2ODIUOGyGwHIYQQQghpvL6ImV7g/WxvSkoK8zklJQWurq5wcXFh0svKypCens4EBUlJSSgoKMCMGTMkyhs4cCBsbGwkZv7EqqqqIBQKAQCqqqof3f6ePXuiTZs2EoFgbYr0EWAH9uJ8b9++hbu7OwICAhAfH4/S0lKZ9XxM34qKitCkSROZ+8VjPmvWLJl5xMtuP5VmzZph+PDhOHjwoMwZw/rU1NQgMTERr1+/Zo2JoaEhLl68iEePHjWoPPEPEQEBAbCzs4NAIMCePXuY/Xw+H3w+H/v375dYJly77qqqKuzbt++jfiiQRZFrUhY7Ozv07du3QccaGhoiLy8PZ86cUfiYnTt3wtbWlhXw1ibtWlq2bBkSExNZK0PqtiMzMxO3bt1SuB0VFRUoLi5mbYQQQgghpHH4ooLec+fOoaqqCiUlJbh27RpcXFzQo0cPZknwhQsXUFFRwQSEOTk5AN7PMEpjZ2fH5BHz9/cHn88Hj8fDtGnTYG5uDh8fn0/SBzs7O9Yy5brc3NyQk5PDLEs9ffo008fTp08DAB48eIDHjx+zgl6hUAg/Pz9wuVw4OjrC0tISCQkJEuV/bN/u3buHdevWYdy4cTLziMfT1taWSbt8+TIT5PH5fBw+fFjhOhVlZ2eHkpISZmkwABw+fJhVL5/Px5IlS1jHhYeHM2Pi5eUFPT091qznvHnzoKurC3Nzc9ja2mLkyJHYvXt3vffCnjx5Em/fvkXv3r0BAAEBAcwPDcD72dO4uDhs2bIFurq66NatG2bPno0bN24weZydnTF79mwMGzYM+vr66Nu3L37++Wf8/fffHzVWtdV3TTb02OjoaIkx3759OwDA29sb/v7+cHFxgZGRETw9PbF+/Xq5AWROTg7rWgKA0NBQpmxTU1OJY7755hv4+PggPDxcaplTpkxBx44d4eTkBHNzc/j5+SEmJkbmjw8AsHTpUujo6DCbmZmZzLyEEEIIIeTf5YsJel1dXVFaWorLly8jLS0NNjY2MDAwgIuLC3Nfb2pqKiwtLdGiRQvWsQ2ZJYuKikJGRgaOHTsGe3t7bN68We7MZkOIRCK5s5xdu3aFqqoqUlNTcfv2bZSVleGbb75Bhw4d8PLlSzx8+BCpqalQV1dnlnkXFhZi7969CAgIYMqpG2B9ir49e/YMffr0gbe3N4KDgxvU79atWyMjIwMZGRkoLS2t9x7SDyE+x7XH183NjalXvNV9yNHMmTORkZGBP//8E507d0ZUVBQEAgGz38jICBcuXMDNmzcREhKCqqoqBAYGok+fPnID35iYGPj6+jLLkv39/XHu3DnWA9aGDh2K58+f4+DBg+jTpw9SU1PxzTffIC4ujsmzePFi5OfnY+PGjXBwcMDGjRthZ2fX4PvMZanvmmzoscOHD5cYc/EsLZfLRWxsLJ4+fYoVK1bAxMQES5YsYe4ZVtScOXOQkZGByMhImfdWL1q0CGlpaUhKSpLYp6mpiSNHjuDevXuYO3cu+Hw+wsLC0KlTJ7x9+1ZqeRERESgqKmK2J0+eKNxeQgghhBDyZftigl6BQMA8jColJYW5D9LY2BhmZmY4f/48UlJS0LNnT+YYGxsbAO8fCCVNVlYWk0fM0NAQAoEAvXr1QmxsLPOk3E8hKysLFhYWMvdraGigU6dOTB+//fZbcLlcqKiooGvXrkx6t27dmCW4O3bsQHl5OTp37gxlZWUoKysjPDwcZ8+elZjF/tC+PX/+HG5ubujatSvr3mhprK2tAQDZ2dlMGo/Hg0AgYAWTn1pWVha0tbXRtGlTJk1TU5OpV7zVDfL19fUhEAjQvXt3JCQkYOrUqbh9+7ZE+Y6Ojpg4cSK2bduG5ORkJCcnM7Pvdb169Qr79u1DdHQ0c05MTExQVVUl8UArNTU1eHh44Mcff8T58+cxcuRIzJs3j5WnadOm8Pb2xsqVK5GVlQVjY2OZ91Q3VH3XZEOP1dHRkRhzLS0tVh4TExN8//33WL9+PTIzM1FeXo6NGzdKrcPa2pp1LQGAgYEBBAIBmjVrJrNtVlZWCA4Oxg8//CDzRy8rKysEBQVh8+bNuHr1Km7fvo1du3ZJzcvj8aCtrc3aCCGEEEJI4/DFBL3A+5m71NRUpKamsl5V1KNHDxw7dgyXLl1iLfvt1asXmjRpglWrVkmUdfDgQdy9exf+/v4y6+vUqRPat2+PxYsXf3Tb//zzT9y8eRNDhw6Vm09eH1NTU3H69GmJpc1hYWGsmbXr16+je/fuUp8Y3NC+PXv2DK6urmjfvj1iY2OhpCT/khCP+fLly+Xm+5RevHiBHTt2YMiQIfW2Tx4zMzP4+voiIiJCbj57e3sAkHnf9Pbt22Fqaorr16+zzsuqVasQFxcn975je3t7ufdjq6qqwsrKSm4eRSl6TUpz584dHD9+/IOOrU1PTw9GRkYy++Pv74/s7Ox6X68lTWRkJHJychAfH19vXnNzc2hoaHyScSWEEEIIIf8uX8TTm8Xc3NwwadIkVFZWMjO9AODi4oLJkyfj3bt3rIBQU1MTmzZtgp+fH8aOHYvJkydDW1sbp06dwsyZM+Hl5VXvPa2hoaHw9PTErFmzYGJiAgCorq6WeLcsj8dj7h2uqKhAfn4+qqur8ffff+P48eNYunQpBgwYgBEjRtTbx59++gn5+fmsB3C5uLjg559/RklJCdPHjIwMXL16Fdu3b4ednR2rHH9/fyxcuBCLFi1iltgq0rfaxAFvy5YtsXLlSrx8+ZLZJ+sJvXw+H5s3b4avry/69++PqVOnwtraGm/evMHx48cBvF/mWlvdmTxA9hOSRSIR8vPzIRKJUFhYiAsXLmDJkiXQ0dHBsmXLWHnF56E28btmZQkJCYGjoyOuXLmCDh06YMKECTA2NkbPnj1hamqKvLw8LFq0CAYGBujSpYvUMoRCIby8vCTemWxmZoaIiAgcP34czs7O8Pb2xujRo9G6dWtoaWnhypUrWLFiBQYPHgzg/T3J8fHx8PPzg42NDUQiEQ4dOoSjR48iNjZWZh+k+ZhrsqqqCvn5+aipqUFBQQFSU1OxaNEitG3blvUEZAB4+/atxJjzeDzo6elh06ZNyMjIgKenJ6ysrFBeXo6tW7ciMzMT69atk1q3n58f9u7dCz8/P0RERKB3795o3rw5Hj16hF27dklcS7U1b94c06dPx88//8xKnz9/Pt6+fYt+/fqhZcuWKCwsxC+//ILKykp4eHjIHQtCCCGEENL4fHFBb1lZGezs7NC8eXMm3cXFBSUlJcyrjWrz8vJCSkoKFi9ejO7du6O8vBzW1taYM2cOQkND672fsU+fPrCwsMDixYsRHR0NAHjz5g3atWvHymdlZYV79+4BAI4fPw4jIyMoKytDT08Pbdq0wS+//ILAwMB6ZyK7dOkCHo8HkUiE9u3bM+mdO3dGZWUl82oj4H1wZW9vLxHwAoCnpycmT56Mo0ePynzyrbS+1ZacnIx79+7h3r17Eg8MkneftKenJ86fP4/ly5djxIgRePXqFXR0dNChQwfEx8djwIABrPziVzTVJuueyeLiYhgZGYHD4UBbWxu2trYIDAxESEiIxJJT8XmozdbWFnfu3JHZdnt7e/Tq1QuRkZE4evQo3N3dERMTgw0bNqCgoAD6+vro0qULTp06xVpKLfbXX3/h+vXr+P333yX26ejo4LvvvoNQKIS7uztzD/H9+/dRWVkJMzMzBAcHM+9Btre3h4aGBsLCwvDkyRPweDxYW1tj8+bN+P7772X2QZqPuSYzMzNhZGQELpcLHR0d2NvbIyIiAhMmTACPx2Pl/f333yX63rt3bxw/fhydOnXC2bNnMX78eDx//hx8Ph8ODg7Yv38/60es2jgcDnbt2oXff/8dsbGxWLFiBSorK2FqaorvvvsOq1evltv2GTNmYMOGDax3ebu4uODXX3/FiBEj8Pfff0NPTw/t2rVDUlKSxEOzCCGEEEJI48cR/RPvSiGEkH+x4uJi6OjoIGfVHGipq33u5hBCCCGkAQwnzP3cTSD/A+K/14qKiup9HssXdU8vIYQQQgghhBDyKVHQSwghhBBCCCGk0aKglxBCCCGEEEJIo/VFPciKEEK+JM2DZtE7ewkhhBBC/uVoppcQQgghhBBCSKNFQS8hhBBCCCGEkEaLgl5CCCGEEEIIIY0W3dNLCCEy5PzmB766yuduBiGEkEbCbtKBz90EQr5KNNNLCCGEEEIIIaTRoqCXEEIIIYQQQkijRUEvIYQQQgghhJBGi4JeQgghhBBCCCGNFgW9hBBCCCGEEEIarS8u6M3Pz0dISAgEAgHU1NTQvHlzdOvWDRs2bMDbt2+ZfObm5uBwOOBwONDQ0ICTkxM2b94sUV51dTWioqLg5OQENTU16OnpoW/fvjh37hyT586dO+BwOLh48SLrWGdnZ6ipqaG8vJxJKy8vh5qaGoRCYb19sbOzA4/HQ35+fr154+LimP7U3sR9iouLg66uLuuYMWPGwMnJCe/evWOlHz16FKqqqhg0aJDUMmtvADBy5Ejms4qKCiwsLDBr1ixWv8WePn0KVVVVODo6Su1H7bJ1dHTQrVs3/Pnnn3L7rsg5qjtGSkpKMDIygq+vLx4/flxv+cuWLYOdnR3U1dXRpEkTdO7cmXW9uLq6IjQ0VOLYuuM+f/58cDgcjB8/npUvIyMDHA4Hubm5AIDc3Fyp4x0QEMDan5GRIbPd58+fR79+/aCnpwc1NTU4OTlh9erVqK6uZvI4OztLtGXjxo3gcDiIi4tjpY8cORLdu3cHAKSmpsq8JsTXq7ivHA4HXC4XZmZmGDt2LF69eiWzzeLj2rZt2+Axq03W+NXe4uLimH4UFhay+uXg4MAaJwDQ1dWVGBNCCCGEENL4fVFB74MHD9CuXTskJSVhyZIluHbtGi5cuIBZs2bh8OHDOHnyJCv/woULkZeXh1u3biEgIADBwcE4duwYs18kEsHPzw8LFy5ESEgIsrKykJqaCjMzM7i6umL//v0A3genhoaGSE1NZY4tKSnB1atXYWBgwAqGL1y4gIqKCvTs2VNuX86ePYuysjJ4eXlhy5YtCvVfW1sbeXl5rG348OEy80dFRaGkpATz5s1j0goLCxEcHIwff/wRO3bsYJVlamrKjJl4E+vTpw/y8vLw4MEDREVFYdOmTaxyxeLi4uDj44Pi4mKkp6dLbVdsbCzy8vJw7tw56OvrY8CAAXjw4IHUvIqeo7pj9OzZMyQmJiI7Oxve3t7yhhULFixAVFQUfvrpJ9y+fRspKSkYO3YsEyg1lPhHj7t379ab9+TJk6zx/vXXXxWqY9++fXBxcYGpqSlSUlJw584dhISEYNGiRfDz84NIJAIAuLm5sa5bAEhJSYGZmZlEempqqsR1m52dLXHNNWvWjNnv4OCAvLw8PH78GLGxsTh+/DgmTJigUB9qa8iYAYCZmRmrTWFhYUxbxJuvr6/M4x88eICtW7c2uJ2EEEIIIaTx+aLe0ztx4kQoKyvjypUr0NTUZNItLS0xePBg5g99MS0tLRgaGgIAwsPDsWLFCiQnJ6Nv374AgN27d2PPnj04ePAgBg4cyBz322+/oaCgAEFBQfDw8ICmpiYTPPzwww8A3getNjY26NGjB1JTU+Hq6grgfeDQsmVLWFhYyO2LUCjEsGHD4OLigpCQEISHh9fbfw6Hw/RHEdra2oiNjUXv3r0xZMgQdO7cGaGhoTAxMUFERASUlZXB5/OZ/FwulzVmtfF4PCbdzMwM7u7uSE5OxvLly5k8IpEIsbGxiI6OhqmpKYRCITp37ixRlq6uLgwNDWFoaIgNGzbAxMQEycnJGDdunETehpyjumNkZGSEMWPGYOrUqSguLoa2trbUcTp48CAmTpzICo7btGkjd2zlsbW1RbNmzTBnzhzs3r1bbt6mTZs26JwCQGlpKYKDgzFo0CD89ttvTHpQUBCaN2+OQYMGYffu3fD19YWbmxuWLVuG/Px8pp7Tp08jMjISK1asYI59+PAhHj16BDc3N1ZdzZo1k1hBUJuysjJTromJCby9vREbG9ug/gANGzPg/bVae9z4fD6rLfWZMmUK5s2bh2HDhoHH49Wbv6KiAhUVFczn4uJiheohhBBCCCFfvi9mpregoABJSUmYNGkSK+CtTbwct66amhokJibi9evXUFVVZdJ37NgBGxsbVjAlFhYWhoKCAiQnJwN4P2N29uxZVFVVAXg/W+bq6goXFxekpKQwx6WkpEgEDnWVlJQgISEBAQEB8PDwQFFREdLS0uQPwAdyc3PDxIkTERgYiISEBOzevRtbt26FsvKH/55x69YtnD9/njWWwPu+v337Fu7u7ggICEB8fDxKS0vllqWurg4AEkuwxRpyjup68eIF9u3bBy6XCy6XK7MNhoaG+PPPP/Hy5Uu5bW2IZcuWITExEVeuXPlkZYolJSWhoKAAM2bMkNg3cOBA2NjYYOfOnQCAbt26QUVFhblGb9++jbKyMowZMwYFBQV4+PAhgPfnTk1NDV26dPngduXm5uLEiRMS14Wi/skxqys0NBRVVVVYt26dQvmXLl0KHR0dZjMzM/uHW0gIIYQQQv5Xvpig9969exCJRLC1tWWl6+vrg8/ng8/nS8yWhoeHg8/ng8fjwcvLC3p6eggKCmL25+TkoFWrVlLrE6fn5OQAeB88lpaW4vLlywDez+i6uLigR48eSE9PR3l5OcrKynDp0qV6g974+HhYW1vDwcEBXC4Xfn5+Ct0DXFRUxPSVz+crPKu1dOlSAICfnx+WLFkCOzs7hY6r7fDhw+Dz+cy9oy9evMDMmTNZeYRCIfz8/MDlcuHo6AhLS0skJCTILPPt27eYO3cuuFwuXFxcpOZpyDkC/m+MNDU10bx5c6SkpMj9oQQAVq9ejZcvX8LQ0BCtW7fG+PHjWcvgP8Q333wDHx+femfwu3btyjqn165dq7dscX9ljYudnR2TR1NTE506dWKWMqempuLbb78Fj8dD165dWeldunSRmPU0NTVltc/BwYG1/+bNm+Dz+VBXV4eFhQUyMzMVWrUgjaJj9iloaGhg3rx5WLp0KYqKiurNHxERgaKiImZ78uTJP95GQgghhBDyv/FFLW+W5tKlS6ipqcHw4cNZyw8BYObMmRg5ciTy8vIwc+ZMTJw4EQKBgJWn7pJoWQQCAUxNTZGamgoHBwdcu3YNLi4uaNasGVq0aIELFy5AJBKhoqKi3qA3JiaGeWARAAQEBMDFxQXr1q2DlpaWzOO0tLRw9epV5rOSkmK/Sairq2PGjBmYNm0aQkJCFDqmLjc3N2zYsAGlpaWIioqCsrIyhg4dyuwvLCzE3r17cfbsWSYtICAAQqEQI0eOZJXl7+8PLpeLsrIyGBgYQCgUonXr1jLrVvQcAf83RpWVlTh27Bi2b9+OxYsXyz3G3t4et27dwl9//YVz587hzJkzGDhwIEaOHCn14WeKWrRoEVq1aoWkpCTWfbC17dq1ixW8NmQGUdFxcXV1ZX58qL0U38XFBampqRg1ahRSU1MRHBwscWxaWhrrmlRRUWHtt7W1xcGDB1FeXo5t27YhIyMDU6ZMUbgPdSkyZp/KmDFjsGrVKixfvhxLliyRm5fH4ym0DJoQQgghhPz7fDEzvQKBABwOB9nZ2ax0S0tLCAQCZplsbfr6+hAIBOjevTsSEhIwdepU3L59m9lvY2ODrKwsqfWJ021sbJg0V1dXpKSkIC0tDdbW1swf5eIlzikpKRAIBHIDl9u3b+PixYuYNWsWlJWVoaysDGdnZ7x9+xbx8fFyx0BJSQkCgYDZLC0t5eavTVlZGVwuV+YS8PpoampCIBCgTZs2iImJQXp6Omt2eseOHSgvL0fnzp2ZfoWHh+Ps2bOsmVjg/QO2MjIykJ+fj/z8fAQGBsqst6HnSDxGrVq1wvTp0+Hs7KzQg5WUlJTQsWNHhIaGYu/evYiLi4NQKGSW/2pra0udESwsLISOjo7UMq2srBAcHIwffvhBZoBqZmbGOqeKBFbi/sobl9pj4ubmhpycHDx79oxZoQD8X9B7//59PHnyROrD1ywsLFjta9myJWu/qqoqBAIBHB0dsWzZMnC5XCxYsKDePsiiyJh9KsrKyli8eDHWrl2L58+f/6N1EUIIIYSQL9cXE/Q2bdoUHh4eWL9+fb33iUpjZmYGX19fREREMGl+fn64e/cuDh06JJF/1apVTJ1ibm5uOH/+PJKTk5nZMgDMw6xSU1PrneUVCoXo0aMHrl+/joyMDGabPn26QkucvwRKSkqYPXs25s6di7KyMgDv+xUWFsbq0/Xr19G9e3fExMSwjjc0NIRAIICBgUG9dTX0HNX1ww8/YNeuXawZckXY29sDAHOt2draSi3j6tWrrACzrsjISOTk5NT7g0ZD9OrVC02aNMGqVask9h08eBB3796Fv78/k9a1a1eoqqoiOjoa5eXlaN++PQCgY8eOePnyJWJiYphl0B9r7ty5WLly5UcFkf/EmMni7e0NBweHjwrUCSGEEELIv9sXE/QCQHR0NKqqqtChQwfs2rULWVlZyM7OxrZt23Dnzh25DysCgJCQEBw6dIh5UI6fnx88PT0RGBgIoVCI3Nxc3LhxA+PGjcPBgwexefNm1r2g4vt6Y2JiWPeguri4ID09vd77eSsrK/HHH3/A398fjo6OrC0oKAjp6enIzMz84PGprq5mBZ0ZGRkyZwM/lre3N7hcLn799VdkZGTg6tWrCAoKkuiXv78/tmzZwjwArKEaeo7qMjMzg6enJyIjI2Xm8fLyQlRUFNLT0/Ho0SOkpqZi0qRJsLGxYe5/njBhAnJycjB16lTcuHED2dnZWL16NXbu3ImwsDCZZTdv3hzTp0/HL7/88kH9z87Oljinqqqq2LRpEw4cOICxY8fixo0byM3NZZaSe3l5wcfHhylDXV0dzs7OWLduHbp168Z8T1RVVVnpdZcuA+8fBiaekRdvlZWVMtvbpUsXtG7dut7lwvJ87Jg11LJlyxATE/NBP6YRQgghhJB/vy8q6LWyssK1a9fg7u6OiIgItGnTBh06dMC6deswY8YM/PTTT3KPt7e3R69evZgAiMPhYPfu3Zg9ezaioqJga2uL7t27M4HPkCFDWMdbWFigZcuWKCkpYQW9LVq0gLGxMd69e8eaAa7r4MGDKCgogKenp8S+Vq1aoVWrVh812/vmzRu0a9eOtUl76vGnoKysjMmTJ2PFihX49ddfYW9vL/UBWZ6ennjx4gWOHj36QfU09BxJM23aNBw5cgSXLl2Sur937944dOgQ8+TjwMBA2NnZISkpiXnKtaWlJc6cOYM7d+7A3d0dnTt3xu7du5GQkIA+ffrIrX/GjBmsV0M1hJ+fn8Q5/fvvv+Hl5YWUlBQ8fvwY3bt3h62tLaKiojBnzhzEx8dLLGN3c3NDSUmJxPXp4uKCkpISmT/W2NrawsjIiLX99ddfcts8bdo0bN68+aMe9vQxY9ZQPXv2RM+ePT/4hxlCCCGEEPLvxhH90zfWEULIv0xxcTF0dHRw+ee+4KtLzpATQgghH8Ju0oHP3QRCGg3x32tFRUXQ1taWm/eLmuklhBBCCCGEEEI+JQp6CSGEEEIIIYQ0Wl/8e3oJIeRzsRkbX+9yGUIIIYQQ8mWjmV5CCCGEEEIIIY0WBb2EEEIIIYQQQhotCnoJIYQQQgghhDRadE8vIYTIkBbnBU16ZREhhBAZXIOPfO4mEEIUQDO9hBBCCCGEEEIaLQp6CSGEEEIIIYQ0WhT0EkIIIYQQQghptCjoJYQQQgghhBDSaFHQSwghhBBCCCGk0frqgt4LFy6Ay+Wif//+Uvfv27cPzs7O0NHRgZaWFhwcHBAaGsrsr66uxrJly2BnZwd1dXU0adIEnTt3xubNm1nlPHnyBKNHj4axsTFUVVXRsmVLhISEoKCggJXP1dUVHA4HHA4HampqsLGxwdKlSyESiTB//nxmn6wNAEaOHCl1X58+fZh6zM3NmXR1dXWYm5vDx8cHf/75p0Ljdu/ePYwaNQqmpqbg8XiwsLCAv78/rly5wsp3+PBhuLi4QEtLCxoaGujYsSPi4uJYeXJzc8HhcJCRkSGzvvPnz6Nfv37Q09ODmpoanJycsHr1alRXVytUjqurK+u81e6/hoYGnJycJM6ZNLWP43K5MDY2xpgxY/D69WsmT2pqKjgcDgoLC1mfxZuBgQH69euHmzdvssqufd5UVFTQvHlzeHh4ICYmBjU1NfW27dWrVwgNDUXLli2hqqoKY2NjjB49Go8fP5Zbj4WFBWbNmoXy8nJWPvE1+OjRI1b6kCFDMHLkSIn65X2XxOeGy+Xi2bNnrH15eXlQVlYGh8NBbm4uK7+07eLFiwCAuLg4iesaAAoLC8HhcJCamsrkkbeJ6ySEEEIIIV+Hry7oFQqFmDJlCs6cOYPnz5+z9p06dQq+vr4YOnQoLl26hL/++guLFy9GZWUlk2fBggWIiorCTz/9hNu3byMlJQVjx45lAh4AePDgATp06IC7d+9i586duHfvHjZu3IhTp06hS5cuePXqFave4OBg5OXlITs7GxEREYiMjMTGjRsxY8YM5OXlMZupqSkWLlzIShPr06cPKz0vLw87d+5k1SM+Njs7G1u3boWuri7c3d2xePFiuWN25coVtG/fHjk5Odi0aRNu376Nffv2wc7ODmFhYUy+devWYfDgwejWrRvS09Nx48YN+Pn5Yfz48ZgxY4bC52jfvn1wcXGBqakpUlJScOfOHYSEhGDRokXw8/ODSCRSuCxp/b916xYCAgIQHByMY8eOKXzc48ePsX37dpw5cwZTp06t97js7Gzk5eXhxIkTqKioQP/+/fHu3TtWHvF5y83NxbFjx+Dm5oaQkBAMGDAAVVVVMst+9eoVnJ2dcfLkSWzcuBH37t1DfHw87t27h44dO+LBgwdS63nw4AGioqKwadMmzJs3T6JcDoeDyMjIevsGyP8uiZmYmGDr1q2stC1btsDExERq/pMnT0pcx+3bt2f2Kysr4+TJk0hJSZF6vK+vL+vYLl26MN8v8WZmZqZQ/wghhBBCSOPwVb2n982bN9i1axeuXLmC/Px8xMXFYfbs2cz+Q4cOoVu3bpg5cyaTZmNjgyFDhjCfDx48iIkTJ8Lb25tJa9OmDaueSZMmQVVVFUlJSVBXVwcAtGjRAu3atYOVlRXmzJmDDRs2MPk1NDRgaGgIABg1ahTWr1+P5ORkTJgwAXw+n8nH5XKhpaXF5K2Nx+NJTa+t9rEtWrRAjx49YGRkhMjISHh5ecHW1lbiGJFIhJEjR8La2hppaWlQUvq/30natm2LkJAQAO9ntsPCwhAaGoolS5YwecLCwqCqqoqpU6fC29sbnTt3ltvG0tJSBAcHY9CgQfjtt9+Y9KCgIDRv3hyDBg3C7t274evrK7ec+vofHh6OFStWIDk5GX379lX4OBMTEwQGBkr8oCBNs2bNoKurC0NDQ4SGhmLQoEG4c+cOWrduzeSpfd5MTEzwzTffwNnZGd999x3i4uIQFBQktew5c+bg+fPnuHfvHuucnjhxAtbW1pg0aRIroK9dj5mZGdzd3ZGcnIzly5ezyp08eTJWr16NmTNnwtHRUWbf6vsuiQUGBiI2NhYRERFMWmxsLAIDA/HTTz9J5G/atKnc61hTUxM+Pj744YcfkJ6eLrFfXV2d+c4BgKqqKuv7RQghhBBCvj5f1Uzv7t27YWdnB1tbWwQEBCAmJoY1a2hoaIjMzEzcunVLZhmGhob4888/8fLlS6n7X716hRMnTmDixImsP77Fxw4fPhy7du2SOlspEomQlpaGO3fuQFVV9QN72TAhISEQiUQ4cOCA1P0ZGRnIzMxEWFgYK+AV09XVBQDs2bMHlZWVUmd0x40bBz6fr1CgmJSUhIKCAqnlDBw4EDY2NgqVI09NTQ0SExPx+vXrBo/zs2fPcOjQoXqD99qKiooQHx8PAArV17NnT7Rp0wZ79+6Vur+mpgbx8fEYPny4RDCnrq6OiRMn4sSJExIrCsRu3bqF8+fPS21Lt27dMGDAAPzwww9y21jfd0ls0KBBeP36Nc6ePQsAOHv2LF6/fo2BAwfKLV+e+fPn4+bNm9izZ88Hl1FXRUUFiouLWRshhBBCCGkcvqqgVygUIiAgAMD75Z5FRUU4ffo0s3/KlCno2LEjnJycYG5uDj8/P8TExKCiooLJs3r1arx8+RKGhoZo3bo1xo8fz5pRu3v3LkQiEVq1aiW1Da1atcLr169ZQXN0dDT4fD54PB569OiBmpoahZbP1nb48GHw+XzWVnvGVZYmTZqgWbNmMu9zvHv3LgDAzs5Objk5OTnQ0dGBkZGRxD5VVVVYWloiJyen3vaI88gaPzs7O4XKkSY8PJwZZy8vL+jp6cmcSZV2nLq6OkxNTcHhcLB69ep6jzM1NQWfz4euri527NiBQYMG1TuOYnZ2djLPycuXL1FYWCj3GhOJRLh37x6TJr4+xPdHv3jxgrWiobalS5fi+PHjSEtLk9m++r5LYioqKkxQDAAxMTEICAiAioqK1HK7du0qcR3XZWxsjJCQEMyZM0fuEvCGWLp0KXR0dJiNlkATQgghhDQeX03Qm52djUuXLsHf3x/A+3sDfX19IRQKmTyampo4cuQI7t27h7lz54LP5yMsLAydOnXC27dvAQD29va4desWLl68iNGjR+PFixcYOHCgRPDUkPtOhw8fjoyMDJw7dw59+/bFnDlz0LVr1wb1z83NDRkZGaxt/PjxCh0rEomYh2JJ2/c5/BP1zpw5ExkZGfjzzz/RuXNnREVFQSAQKHzcjRs3cOrUKQBA//79WQ/VkiYtLQ1//fUX4uLiYGNjg40bNyrcVnnnpHYeRYmvj/T0dAQGBmLUqFEYOnSo1Lz29vYYMWKEzNleRb5LtY0ePRoJCQnIz89HQkICRo8eLbOdu3btkriOpQkPD8fLly+ZYPpjRUREoKioiNmePHnyScolhBBCCCGf31dzT69QKERVVRWMjY2ZNJFIBB6Ph/Xr10NHR4dJt7KygpWVFYKCgjBnzhzY2Nhg165dGDVqFABASUkJHTt2RMeOHREaGopt27bh+++/x5w5cyAQCMDhcJCVlQVPT0+JdmRlZUFPTw8GBgZMmo6ODhN87d69GwKBAM7OznB3d1e4f5qamgoFcHUVFBTg5cuXsLCwkLrfxsYGAHDnzh20a9dOZjk2NjYoKirC8+fPWWMMAO/evcP9+/fh5uZWb3vE9WVlZUkN/LOysmBvbw8A0NbWBvB++XBdhYWFrHMKAPr6+hAIBBAIBEhISICTkxM6dOjAlCeL+DgAsLa2xpo1a9ClSxekpKTIPUcWFhbQ1dWFra0tXrx4AV9fX5w5c0ZuXbX7KeucGBgYQFdXF1lZWTKP5XA4rOuh9vURExODNm3aQCgUYsyYMVLLWLBgAWxsbLB//36JfQ35LgGAk5MT7Ozs4O/vj1atWsHR0VFmMGtmZqbQdayrq4uIiAgsWLAAAwYMqDd/fXg8Hng83keXQwghhBBCvjxfxUxvVVUVtm7dilWrVrFmkK5fvw5jY2O594iam5tDQ0MDpaWlMvOIg6bS0lI0bdoUHh4eiI6ORllZGStffn4+tm/fDl9fX5mzeHw+HyEhIZgxY8b/ZJZ17dq1UFJSYj2sq7a2bdvC3t4eq1atkvoaHfFTq4cOHQoVFRWsWrVKIs/GjRtRWlrKzAzK06tXLzRp0kRqOQcPHsTdu3eZcpo0aQJ9fX389ddfrHzFxcW4d+8eE0BLY2ZmBl9fX9YDlhTF5XIBQOL8yjNp0iTcunUL+/btqzfvn3/+iZs3b8qciVVSUoKPjw927NiB/Px81r6ysjJER0ejd+/eaNKkiczjZ8+ejblz58rsg5mZGSZPnozZs2ezZrQ/9Ls0evRopKamyp3lbagpU6ZASUkJa9eu/WRlEkIIIYSQxuerCHoPHz6M169fY8yYMXB0dGRtQ4cOZZZlzp8/H7NmzUJqaioePnyIa9euYfTo0aisrISHhwcAwMvLC1FRUUhPT8ejR4+QmpqKSZMmwcbGhrlfc/369aioqEDv3r1x5swZPHnyBMePH4eHhwdMTEzqfUXQuHHjkJOTg8TERIX7WFFRgfz8fNb23//+l5WnpKQE+fn5ePLkCc6cOYOxY8di0aJFWLx4sczZNQ6Hg9jYWOTk5KB79+44evQoHjx4gBs3bmDx4sUYPHgwgPdPDl6xYgXWrFmDOXPm4M6dO7h//z5Wr16NWbNmISwsTOLhT9nZ2RJLWVVVVbFp0yYcOHAAY8eOxY0bN5CbmwuhUIiRI0fCy8sLPj4+TBnTp0/HkiVLsH37dty/fx+XLl3C8OHDYWBggP/85z9yxywkJASHDh2SeNdwXeJxy8vLw6VLlzBz5kwYGBg0aAm6hoYGgoODMW/ePNaPGeLz9uzZM1y9ehVLlizB4MGDMWDAAIwYMUJmeUuWLIGhoSE8PDxw7Ngx5pz27t0blZWV+PXXX+W2x9vbG1wuV26+iIgIPH/+HCdPnmTSFP0u1RUcHIyXL1/Wew91QUGBxHVc933CYmpqaliwYAF++eUXuWUSQgghhJCv21cR9AqFQri7u0ssuwTez1BeuXIFN27cgIuLCx48eIARI0bAzs4Offv2RX5+PpKSkpjX+fTu3RuHDh1iniQcGBgIOzs7JCUlQVn5/Wpxa2trXLlyBZaWlvDx8YGVlRXGjh0LNzc3XLhwQeYMnFiTJk0wYsQIzJ8/X+rsqjTHjx+HkZERa/v2229ZeSIjI2FkZASBQIDvv/8eRUVFOHXqFMLDw+WW3alTJ1y5cgUCgQDBwcFo1aoVBg0ahMzMTKxZs4bJFxoain379iEtLQ0dOnSAo6MjduzYgQ0bNmDlypUS5fr5+aFdu3as7e+//4aXlxdSUlLw+PFjdO/eHba2toiKisKcOXMQHx/PmiWfNWsW5s2bh+XLl6N169YYOnQoNDU1kZKSIvH07Lrs7e3Rq1evet9LKx43Y2NjDBgwAJqamkhKSkLTpk3lHlfX5MmTkZWVhYSEBCZNfN7Mzc3Rp08fpKSk4JdffsGBAweYGWVpmjZtiosXL8LNzQ3jxo2DlZUVc61dvnwZlpaWctuirKyMyZMnY8WKFTJXMTRp0gTh4eGsoFPR75K0+vT19ZnviCzu7u4S17G0JdZigYGB9faVEEIIIYR83Tiiz/WkIkII+UIVFxdDR0cHh9d6QFNd+pOmCSGEENfgI5+7CYR8tcR/rxUVFTHP+pHlq5jpJYQQQgghhBDydaKglxBCCCGEEEJIo/XVvLKIEEIaqvvIPfUulyGEEEIIIV82muklhBBCCCGEENJoUdBLCCGEEEIIIaTRoqCXEEIIIYQQQkijRff0EkKIDPu3/Qca6vTPJCGENDZeo45/7iYQQv6HaKaXEEIIIYQQQkijRUEvIYQQQgghhJBGi4JeQgghhBBCCCGNFgW9hBBCCCGEEEIaLQp6CSGEEEIIIYQ0Wp816N24cSO0tLRQVVXFpL158wYqKipwdXVl5U1NTQWHw8H9+/cBAObm5lizZo1EmfPnz0fbtm2lfjY3NweHw5G5jRw5EgBk7o+Pj5fZF0XbI/b06VOoqqrC0dFRankcDgdqamp49OgRK33IkCFMO8Xy8/MREhICgUAANTU1NG/eHN26dcOGDRvw9u1bmW0Uj8fFixdZ5YWGhkqMf3FxMX788Uc4ODhAXV0dTZs2RceOHbFixQq8fv1aah8AIC4uDrq6ujL7uH//ftZnRcfdzs4OPB4P+fn5EvtcXV2ZY9XU1GBjY4OlS5dCJBJh/vz5cq8BDocjUd7IkSPl5jc3N5c4Jjc3FxwOBxkZGQqPy7t37/Dzzz/jm2++gaamJnR0dNCmTRvMnTsXz58/Z7VnyJAhEmWKvyOFhYUf1GZZ7RKre74A4PDhw3BxcYGWlhY0NDTQsWNHxMXFNXgsxO3icrnQ09ND586dsXDhQhQVFbHyyupXnz59mDy1v+caGhpwcnLC5s2bpdZNCCGEEEIav88a9Lq5ueHNmze4cuUKk5aWlgZDQ0Okp6ejvLycSU9JSUGLFi1gZWX1wfVdvnwZeXl5yMvLQ2JiIgAgOzubSVu7di2TNzY2lkkXb9ICjQ8VFxcHHx8fFBcXIz09XWoeDoeDyMhIueU8ePAA7dq1Q1JSEpYsWYJr167hwoULmDVrFg4fPoyTJ0/KPV5NTQ3h4eFy87x69QrOzs6IjY3FjBkzkJ6ejqtXr2Lx4sW4du0aduzYIb+zDaDIuJ89exZlZWXw8vLCli1bpJYTHByMvLw8ZGdnIyIiApGRkdi4cSNmzJjBKtvU1BQLFy5kpdW1du1aif2123n58uWP7ndFRQU8PDywZMkSjBw5EmfOnMHNmzfxyy+/4L///S/WrVvXoPL+F21et24dBg8ejG7duiE9PR03btyAn58fxo8fjxkzZjSoLG1tbeTl5eHp06c4f/48xo4di61bt6Jt27asgB8A+vTpI3GN7Ny5k5VHfE5v3bqFgIAABAcH49ixYx/dZ0IIIYQQ8u/zWV9AaWtrCyMjI6SmpsLZ2RnA+9mqwYMH488//8TFixeZGcfU1FS4ubl9VH0GBgbM/zdp0gQA0KxZM6kzW7q6ujA0NPyo+mQRiUSIjY1FdHQ0TE1NIRQK0blzZ4l8kydPxurVqzFz5kyZM8ITJ06EsrIyrly5Ak1NTSbd0tISgwcPhkgkktuWsWPHYuPGjTh69Cj69esnNc/s2bPx+PFj5OTkwNjYmElv2bIlevXqVW8dDaHIuAuFQgwbNgwuLi4ICQmRGrRraGgw5YwaNQrr169HcnIyJkyYAD6fz+TjcrnQ0tKSW6eOjg50dHQa3M6GiIqKwtmzZ3HlyhW0a9eOSW/RogVcXFwaPMb/dJufPHmCsLAwhIaGYsmSJUx6WFgYVFVVMXXqVHh7e0u9rqXhcDhM24yMjNCqVSsMHDgQDg4OmDVrFrZt28bk5fF49faj9jkNDw/HihUrkJycjL59+za0q4QQQggh5F/us9/T6+bmhpSUFOZzSkoKXF1d4eLiwqSXlZUhPT39o4PeL0VKSgrevn0Ld3d3BAQEID4+HqWlpRL5unXrhgEDBuCHH36QWk5BQQGSkpIwadIkVsBbm7TlurVZWFhg/PjxiIiIQE1NjcT+mpoa7Nq1CwEBAayAtyF1fEolJSVISEhAQEAAPDw8UFRUhLS0NJn5RSIR0tLScOfOHaiqqv7P2tlQO3fuhIeHByvgre1/OcaK2LNnDyorK6XO6I4bNw58Pl9i9rWhmjVrhuHDh+PgwYOorq7+oDJqamqQmJiI169fyz3/FRUVKC4uZm2EEEIIIaRx+CKC3nPnzqGqqgolJSW4du0aXFxc0KNHD6SmpgIALly4gIqKComgNzw8HHw+n7XVnnX6GP7+/hJlP378WO4xirZHKBTCz88PXC4Xjo6OsLS0REJCgtQyly5diuPHj0sN7O7duweRSARbW1tWur6+PlN/fUuXAWDu3Ll4+PAhtm/fLrHv5cuXKCwslKijffv2TB3+/v5yyy8qKpIYl9qzrbXVN+7x8fGwtraGg4MDuFwu/Pz8IBQKJcqJjo4Gn88Hj8dDjx49UFNTg6lTp9Y7Fp9LTk6OxBh7enoyY9C1a1fWvsOHD0uM06eaxVTkfOXk5EBHRwdGRkYSx6uqqsLS0hI5OTkf3RY7OzuUlJSgoKCASZPW97rfM/F3kcfjwcvLC3p6eggKCpJZz9KlS5nZcR0dHZiZmX102wkhhBBCyJfhsy5vBt4/dKi0tBSXL1/G69evYWNjAwMDA7i4uGDUqFEoLy9HamoqLC0t0aJFC9axM2fOlHio0y+//IIzZ858dLuioqLg7u7OSpM109mQ9hQWFmLv3r04e/YskxYQEAChUChxLADY29tjxIgR+OGHH3Du3DmF2n7p0iXU1NRg+PDhqKioqDe/gYEBZsyYgcjISPj6+ipUx759+/Du3TuEh4ejrKxMbl4tLS1cvXpVIt3a2loirb5xj4mJQUBAAPM5ICAALi4uWLduHbS0tJj04cOHY86cOXj9+jXmzZuHrl27SgSOn0rfvn2ZHyVatmyJzMzMT1JudHQ0SktLpV7Tbm5u2LBhAystPT2dNTYfqiHn658mXtZde6ZbWt/FtyuIib+LeXl5mDlzJiZOnAiBQCCznoiICEyfPp35XFxcTIEvIYQQQkgj8dmDXoFAAFNTU6SkpOD169dwcXEB8D7QMTMzw/nz55GSkoKePXtKHKuvry/xh2zdP34/lKGhodw/kqVRpD07duxAeXk5615HkUiEmpoa5OTkwMbGRqLcBQsWwMbGRuLJuQKBABwOB9nZ2ax0S0tLAIC6urrCbZ8+fTqio6MRHR3NSjcwMICurq5EHeIfILS0tFBYWCi3bCUlJYXHUt643759GxcvXsSlS5dYM9jV1dWIj49HcHAwk6ajo8OUs3v3bggEAjg7O0sE1J/C5s2bmcBfRUXlg8qwtraWGGPxLKq0a1pTU1NinJ4+ffpBddelyPmysbFBUVERnj9/LvFj0Lt373D//v1PcjtCVlYWtLW10bRpUyZNWt/rEn8XBQIBEhIS4OTkhA4dOsDe3l5qfh6PBx6P99HtJYQQQgghX57PvrwZeD9zk5qaitTUVNarcnr06IFjx47h0qVLjeZ+XqFQiLCwMGRkZDDb9evX0b17d8TExEg9xszMDJMnT8bs2bNZ9zY2bdoUHh4eWL9+vdR7ghuCz+fjxx9/xOLFi1FSUsKkKykpwcfHB9u2bZN4iu7/mlAoRI8ePXD9+nXW+E2fPl3qEmcxPp+PkJAQzJgx45M+dEvMxMSECbBatmz5QWX4+/sjOTkZ165d+8St+2cMHToUKioqWLVqlcS+jRs3orS0tN5l7/V58eIFduzYgSFDhkBJ6cP/qTIzM4Ovry8iIiI+qj2EEEIIIeTf6bPP9ALvg95JkyahsrKSmekFABcXF0yePBnv3r37nwe9hYWFEu+A1dLSkvnAKEVkZGTg6tWr2L59O+zs7Fj7/P39sXDhQixatAjKypKnJSIiAr///jsePnzIWoIcHR2Nbt26oUOHDpg/fz5at24NJSUlXL58GXfu3EH79u0Vbt/YsWMRFRWFHTt2sGailyxZgtTUVHTq1AkLFy5Ehw4doKmpiRs3buDChQsynyz9IWSNu6qqKv744w8sXLhQor6goCCsXr0amZmZcHBwkFruuHHj8NNPPyExMRFeXl6frL31qTt7C0BqG6dNm4YjR47gu+++w7x589C9e3fo6ekhJycHx44dA5fL/V80V2EtWrTAihUrEBYWBjU1NXz//fdQUVHBgQMHMHv2bISFhUk8uVneWIhEIuTn50MkEqGwsBAXLlzAkiVLoKOjg2XLlrGOqaiokLhGlJWVoa+vL7O9ISEhcHR0xJUrV9ChQ4cP7TYhhBBCCPkX+mKC3rKyMtjZ2aF58+ZMuouLC0pKSphXG/0vjRo1SiJt6dKlMp+krAihUAh7e3uJgBd4/9CiyZMn4+jRoxg0aJDE/iZNmiA8PByzZ89mpVtZWeHatWtYsmQJIiIi8PTpU/B4PNjb22PGjBmYOHGiwu1TUVHBTz/9hGHDhrHSmzZtikuXLmH58uX4+eef8fDhQygpKcHa2hq+vr4IDQ1VuI76yBp3a2trFBQUwNPTU2J/q1at0KpVKwiFQqxevVpquU2aNMGIESMwf/58/Oc///momcOG8PPzk0h78uSJRJqamhpOnTqFNWvWIDY2lnmatoWFBfr27Ytp06b9L5rbIKGhobC0tMTKlSuxdu1aVFdXw8HBARs2bJB6HuWNRXFxMYyMjMDhcKCtrQ1bW1sEBgYiJCQE2trarGOOHz8u8e+Bra0t7ty5I7Ot9vb26NWrFyIjI3H06NEP6S4hhBBCCPmX4oj+ifWehBDyL1ZcXAwdHR1s+fU7aKh/Eb8NEkII+YS8Rh3/3E0ghHwk8d9rRUVFEpMkdX0R9/QSQgghhBBCCCH/BAp6CSGEEEIIIYQ0WrRujxBCZBgSsLfe5TKEEEIIIeTLRjO9hBBCCCGEEEIaLQp6CSGEEEIIIYQ0WhT0EkIIIYQQQghptCjoJYQQQgghhBDSaNGDrAghRIaYeE+o03t6CSHkHzfu+xOfuwmEkEaMZnoJIYQQQgghhDRaFPQSQgghhBBCCGm0KOglhBBCCCGEENJoUdBLCCGEEEIIIaTRoqCXfFVGjhwJDocDDocDVVVVCAQCLFy4EFVVVUye6upqREVFwcnJCWpqatDT00Pfvn1x7tw5VllxcXFMWUpKSjA1NcWoUaPw4sULVr6UlBT069cPTZs2hYaGBuzt7REWFoZnz559dJ1GRkbw9fXF48ePWflcXV3B4XAQHx/PSl+zZg3Mzc3ljhGHw8H+/fuljt2QIUNYaU+ePMHo0aNhbGwMVVVVtGzZEiEhISgoKJBoT2hoqNw6xZumpiasra0xcuRI/PXXX6x8qamprLy1t/z8fADA/PnzmTQulwszMzOMHTsWr169kttvQgghhBDSOFHQS746ffr0QV5eHu7evYuwsDDMnz8fP//8MwBAJBLBz88PCxcuREhICLKyspCamgozMzO4urpKBIPa2trIy8vD06dP8fvvv+PYsWP4/vvvmf2bNm2Cu7s7DA0NkZiYiNu3b2Pjxo0oKirCqlWrPqrOZ8+eITExEdnZ2fD29pbop5qaGubOnYvKyspPO4D/34MHD9ChQwfcvXsXO3fuxL1797Bx40acOnUKXbp0aXCQGRsbi7y8PGRmZuLXX3/Fmzdv0LlzZ2zdulUib3Z2NvLy8lhbs2bNmP0ODg7Iy8vD48ePERsbi+PHj2PChAkf3WdCCCGEEPLvQ+/iIF8dHo8HQ0NDAMCECROwb98+HDx4EBEREdi9ezf27NmDgwcPYuDAgcwxv/32GwoKChAUFAQPDw9oamoCeD9DKS7L2NgYU6dOxY8//oiysjIUFBRg6tSpmDp1KqKiopiyzM3N0aNHDxQWFgLAR9VpZGSEMWPGYOrUqSguLoa2tjZzvL+/Pw4ePIjff/8dEydO/OTjOGnSJKiqqiIpKQnq6uoAgBYtWqBdu3awsrLCnDlzsGHDBoXL09XVZfplbm6OXr16ITAwEJMnT8bAgQOhp6fH5G3WrBl0dXVllqWsrMyUZWJiAm9vb8TGxn5ALwkhhBBCyL8dzfSSr566ujrevXsHANixYwdsbGxYwadYWFgYCgoKkJycLLesmpoaVFVVISEhAe/evcOsWbOk5hUHbR9T54sXL7Bv3z5wuVxwuVzWPm1tbcyZMwcLFy5EaWmpzDZ/iFevXuHEiROYOHEiE/CKGRoaYvjw4di1axdEItFH1TNt2jSUlJTIHfP65Obm4sSJE1BVVZWZp6KiAsXFxayNEEIIIYQ0DhT0kq+WSCTCyZMnceLECfTs2RMAkJOTg1atWknNL07PycmRuv/u3bvYuHEjOnToAC0tLdy9exfa2towMjKS246G1llUVAQ+nw9NTU00b94cKSkpmDRpEjMTXNvEiROhpqaG1atXy21DXf7+/uDz+axt+/btrL6KRCK57X79+jVevnzZoHrrsrOzA/A+cK3N1NSU1TYHBwfW/ps3b4LP50NdXR0WFhbIzMxEeHi4zHqWLl0KHR0dZjMzM/uodhNCCCGEkC8HLW8mX53Dhw+Dz+ejsrISNTU1GDZsGObPn8/sb8jspDgArampQXl5Ob799lts3ryZKYfD4ShUTkPq1NLSwtWrV1FZWYljx45h+/btWLx4sdS8PB4PCxcuxJQpUxp0T2tUVBTc3d1ZaeHh4aiurv7gdn8Icfl1xzEtLQ1aWlrMZxUVFdZ+W1tbHDx4EOXl5di2bRsyMjIwZcoUmfVERERg+vTpzOfi4mIKfAkhhBBCGgkKeslXx83NDRs2bICqqiqMjY2hrPx/XwMbGxtkZWVJPU6cbmNjw6SJA1Dxk5RrL/W1sbFBUVER8vLy5M72NrROJSUlCAQCAO9nVO/fv48JEybgjz/+kFpGQEAAVq5ciUWLFtX75GYxQ0NDpo7afRXfhywQCMDhcJCVlQVPT0+p7dbT04OBgYFC9cki7r+FhQUr3cLCQu49veIncwPAsmXL0L9/fyxYsAA//fST1Pw8Hg88Hu+j2koIIYQQQr5MtLyZfHU0NTUhEAjQokULVsALAH5+frh79y4OHTokcdyqVavQtGlTeHh4MGniANTS0lLi3lYvLy+oqqpixYoVUtshDiAbWmddP/zwA3bt2oWrV69K3a+kpISlS5diw4YNEsuEP5S4TdHR0SgrK2Pty8/Px/bt2+Hr66vwTLcsa9asgba2tsSsc0PNnTsXK1euxPPnzz+qHEIIIYQQ8u9DQS8htfj5+cHT0xOBgYEQCoXIzc3FjRs3MG7cOBw8eBCbN2+Weu+sNGZmZoiKisLatWsxZswYnD59Go8ePcK5c+cwbtw4ZtbxY+s0MzODp6cnIiMjZebp378/OnfujE2bNjVsQORYv349Kioq0Lt3b5w5cwZPnjzB8ePH4eHhARMTE4kl1y9fvkRGRgZr+/vvv5n9hYWFyM/Px6NHj5CcnAwvLy/s2LEDGzZskJjVffHiBfLz81mbvFczdenSBa1bt8aSJUs+Wf8JIYQQQsi/AwW9hNTC4XCwe/duzJ49G1FRUbC1tUX37t3x6NEjpKamYsiQIQ0qb+LEiUhKSsKzZ8/g6ekJOzs7BAUFQVtbGzNmzPhkdU6bNg1HjhzBpUuXZOZZvnw5ysvLG9R+eaytrXHlyhVYWlrCx8cHVlZWGDt2LNzc3HDhwgU0adKElX/Hjh1o164da/v999+Z/aNGjYKRkRHs7OwwYcIE8Pl8XLp0CcOGDZOo29bWFkZGRqztr7/+ktveadOmYfPmzXjy5MmnGQBCCCGEEPKvwBH900+iIYSQf5ni4mLo6OggalNPqKvTow8IIeSfNu77E5+7CYSQfxnx32tFRUXQ1taWm5dmegkhhBBCCCGENFoU9BJCCCGEEEIIabRo3R4hhMgw2m9fvctlCCGEEELIl41megkhhBBCCCGENFoU9BJCCCGEEEIIabQo6CWEEEIIIYQQ0mhR0EsIIYQQQgghpNGiB1kRQogMS/d6gqdB/0wSQkhd833ovbqEkH8PmuklhBBCCCGEENJoUdBLCCGEEEIIIaTRoqCXEEIIIYQQQkijRUEvIYQQQgghhJBG66sJekeOHAkOhwMOhwNVVVUIBAIsXLgQVVVVrHy9e/cGl8vF5cuXpZZz7do1eHt7o3nz5lBTU4O1tTWCg4ORk5MDAMjNzQWHw0FGRgZzTElJCdzc3GBvb4+nT5/KbGNmZiZ8fHxgYGAAHo8HGxsbREZG4u3bt6x85ubmTF/Em6mpqcxyXV1dJfJzOBz0798fAFBZWYnw8HA4OTlBU1MTxsbGGDFiBJ4/f67wmKqoqMDCwgKzZs1CeXk5K5+0ujkcDuLj41llSNvMzc0l+qCmpgYbGxssXboUIpFIol1btmxBx44doaGhAS0tLbi4uODw4cMS+X7//Xe0adMGfD4furq6aNeuHZYuXcrsnz9/PlOnsrIyzM3NMW3aNLx586ZB9SnaR2nevXuHFStWoE2bNtDQ0IC+vj66deuG2NhYVFZWsvJeuHABXC6XOa+1KXJdivNI2y5evCizjQCQkpKCfv36oWnTptDQ0IC9vT3CwsLw7Nkzibx2dnbg8XjIz8+X2Pfw4UMMGzYMxsbGUFNTg6mpKQYPHow7d+4weeRdT2L1nVtCCCGEEPL1+GqCXgDo06cP8vLycPfuXYSFhWH+/Pn4+eefmf2PHz/G+fPnMXnyZMTExEgcf/jwYTg7O6OiogLbt29HVlYWtm3bBh0dHfz4449S63z58iXc3NxQWlqKtLQ0mcHpxYsX0blzZ7x79w5HjhxBTk4OFi9ejLi4OHh4eODdu3es/AsXLkReXh6zXbt2TWa/9+7dy8p769YtcLlceHt7AwDevn2Lq1ev4scff8TVq1exd+9eZGdnY9CgQQqP6YMHDxAVFYVNmzZh3rx5EvliY2NZbcjLy8OQIUOwdu1aVlrdvLV/fAgODkZeXh6ys7MRERGByMhIbNy4kVXPjBkzMG7cOPj6+uLGjRu4dOkSvv32WwwePBjr169n8sXExCA0NBRTp05FRkYGzp07h1mzZkkEtA4ODsjLy0Nubi6WL1+O3377DWFhYQ2qryF9rO3du3fo3bs3li1bhrFjx+L8+fO4dOkSJk2ahHXr1iEzM5OVXygUYsqUKThz5ky9P1jIuy5Pnjwpca7at28vs6xNmzbB3d0dhoaGSExMxO3bt7Fx40YUFRVh1apVrLxnz55FWVkZvLy8sGXLFta+yspKeHh4oKioiLkGd+3aBScnJxQWFrLyyrqeAMXPLSGEEEII+TpwRNKmyhqhkSNHorCwEPv372fSevXqhZKSEly4cAEAsGDBAty5cwfz5s2Ds7Mz8vLyoK6uDuB9YNiyZUt8++232Ldvn0T5hYWF0NXVRW5uLiwsLHDt2jU0bdoUHh4eMDExwYEDB8Dn86W2TSQSwdHRERoaGkhPT4eS0v/9FnH9+nVmlio8PBzA+5ne0NBQhIaGftBYrFmzBpGRkcjLy4OmpqbUPJcvX0anTp3w6NEjtGjRQmoeaWM6dOhQPHz4EFevXmXSOBwO9u3bxwQl8sjK6+rqirZt22LNmjVMWvv27dGyZUvs3bsXwPsfDrp06YJffvkFU6ZMYR0fFhaGdevW4f79+zAzM8OQIUOgp6eH2NhYmW2ZP38+9u/fz5odHTt2LA4dOoS8vLwG1adIH+tasWIFIiIicOXKFbRr1461r7KyEu/evWPO35s3b2BkZIQrV65g3rx5aN26NWbPns3kV+S6rJ2nbdu2ctsm9vTpU1hZWWHixImIioqS2C/+XoiNGjUKhoaGcHFxQUhICLKzs5l9GRkZaNeuHXJzc9GyZUuZddY3foqc2/oUFxdDR0cHP8T2pFcWEUKIFPTKIkLI5yb+e62oqAja2tpy835VM711qaurMzOoIpEIsbGxCAgIgJ2dHQQCAfbs2cPkPXHiBP773/9i1qxZUsuq/Yc9AGRnZ6Nbt26wt7fH0aNHZQa8wPs/9m/fvo3p06ezAl4AaNOmDdzd3bFz584P7KUkoVAIPz8/mQEvABQVFYHD4Uj0S55bt27h/PnzUFVV/QStlE0kEiEtLQ137txh1bVz507w+XyMGzdO4piwsDBUVlYiMTERAGBoaIiLFy/i0aNHDaq79jXTkPo+xPbt2+Hu7i4R8AKAiooK6/zt3r0bdnZ2sLW1RUBAAGJiYqQu/W7IdamIhIQEvHv3TqHvRUlJCRISEhAQEMDM6KalpTH7DQwMoKSkhD179qC6uvqD2/Qh57aiogLFxcWsjRBCCCGENA5fZdArEolw8uRJnDhxAj179gTwfknn27dv0bt3bwBAQEAAhEIhc8zdu3cBvL8fUREjRoyAQCBAQkICeDye3Lzi+4FbtWoldX+rVq2YPGLh4eHg8/nM9ssvvyjUrkuXLuHWrVsICgqSmae8vBzh4eHw9/ev91eTw4cPg8/nQ01NDU5OTnjx4gVmzpwpkc/f35/VXj6fj8ePHyvUZrHo6Gjw+XzweDz06NEDNTU1mDp1KrM/JycHVlZWUoNuY2NjaGtrM+M4b9486OrqwtzcHLa2thg5ciR2796NmpoamfX/9ddf2LFjB3PNNKS+D3H37l2FrzehUIiAgAAA75ecFxUV4fTp0xL5FLkuu3btKnGu5LVRW1sbRkZG9bYxPj4e1tbWcHBwAJfLhZ+fH+s7ZmJigl9++QWRkZHQ09NDz5498dNPP+HBgwcSZcm7nj7k3C5duhQ6OjrMVnd2nhBCCCGE/Ht9VUFv7QCtb9++8PX1xfz58wG8vw/Q19cXysrvlzL6+/vj3LlzuH//PgBInTWTZ9CgQUhLS2OW3iqiIXXMnDkTGRkZzDZixAiFjhMKhXByckKnTp2k7q+srISPjw9EIhE2bNhQb3lubm7IyMhAeno6AgMDMWrUKAwdOlQiX1RUFKu9GRkZMDY2VqjNYsOHD2fu0ezbty/mzJmDrl27svIoOoZGRka4cOECbt68iZCQEFRVVSEwMBB9+vRhBUc3b94En8+Huro6OnXqhC5durDuDf4n7w5QtOzs7GxcunQJ/v7+AABlZWX4+vqyAkoxRa7LXbt2SZwreW3kcDgKtTMmJoYJzIH3PywlJCSgpKSESZs0aRLy8/Oxfft2dOnSBQkJCXBwcEBycjKrLHnXk6LntraIiAgUFRUx25MnTxTqEyGEEEII+fJ9VTerubm5YcOGDVBVVYWxsTET4L569Qr79u1DZWUlK9Crrq5GTEwMFi9eDBsbGwDAnTt30KVLl3rrmjNnDlq3bo1hw4ZBJBLBx8dHZl5x2VlZWVKXsmZlZTF5xPT19SEQCOrvdC2lpaWIj4/HwoULpe4XB7yPHj3Cn3/+We8sLwBoamoy7YiJiUGbNm0gFAoxZswYVj5DQ8MGt7cuHR0dpozdu3dDIBDA2dkZ7u7uAN6P49mzZ/Hu3TuJ2dfnz5+juLhYYhwdHR3h6OiIiRMnYvz48ejevTtOnz4NNzc3AICtrS0OHjwIZWVlGBsbs8r9kPoawsbGhvXUYlmEQiGqqqpYPyKIRCLweDysX78eOjo6TLoi16WZmZnC58rGxgZFRUXIy8uTO9t7+/ZtXLx4EZcuXWLuTQfef8fi4+MRHBzMpGlpaWHgwIEYOHAgFi1ahN69e2PRokXw8PBg8ihyPdV3bmvj8Xj1rsgghBBCCCH/Tl/VTK84QGvRogUT8ALv7500NTXF9evXWTNHq1atQlxcHKqrq9GrVy/o6+tjxYoVUsuu+3RZAPjxxx8xf/58DB8+HLt27ZLZrrZt28LOzg5RUVESM1HXr1/HyZMnmVm8j5GQkICKigrWbJuYOOC9e/cuTp48iaZNmza4fCUlJcyePRtz585FWVnZR7dXHj6fj5CQEMyYMYOZEfXz88ObN2+wadMmifwrV66EioqK1FloMXt7ewDvfxwQE7/eytzcXCKw/dj66jNs2DCcPHlS6pO5KysrUVpaiqqqKmzduhWrVq1iXbvXr1+HsbGx1HvBFb0uFeHl5QVVVdV6vxdCoRA9evSQ+I5Nnz5d6oy0GIfDgZ2dHeucfAhp55YQQgghhHwdvqqZXlmEQiG8vLzg6OjISjczM0NERASOHz+O/v37Y/PmzfD29sagQYMwdepUCAQC/Pe//8Xu3bvx+PFj1ntCxebMmQMul4vhw4ejpqZGavDK4XAgFArh4eGBoUOHIiIiAoaGhkhPT0dYWBi6dOnywU9qrtvPIUOGSAS0lZWV8PLywtWrV3H48GFUV1cz71Bt0qRJgx5M5e3tjZkzZ+LXX3/FjBkzmPTCwkKJ97JqaWnJfZhWfcaNG4effvoJiYmJ8PLyQpcuXRASEoKZM2fi3bt3GDJkCCorK7Ft2zasXbsWa9asYe7VnDBhAoyNjdGzZ0+YmpoiLy8PixYtgoGBgUIz+QAaVN+HCA0NxZEjR/Ddd9/hp59+wrfffgstLS1cuXIFy5cvh1AoRG5uLl6/fo0xY8awZnSB90/SFgqFGD9+vETZ8q7LgoICiXOlq6sLNTU1iXLMzMwQFRWFyZMno7i4GCNGjIC5uTmePn2KrVu3gs/nY9myZfjjjz+wcOFCie9YUFAQVq9ejczMTFRWVmLevHn4/vvvYW9vD1VVVZw+fRoxMTGs2WFA/vX0Kc4tIYQQQghpPL6qmV5p/vrrL1y/fl3qjJyOjg6+++47ZiZq8ODBOH/+PFRUVDBs2DDY2dnB398fRUVFWLRokcw6fvjhByxZsgTff/89duzYITVP165dcfHiRXC5XPTt2xcCgQAREREIDAxEcnLyRy+9zM7OxtmzZyWWHQPAs2fPcPDgQTx9+hRt27aFkZERs50/f75B9SgrK2Py5MlYsWIFa1Zt1KhRrHKNjIywbt26j+pTkyZNMGLECMyfP5+ZIV+zZg2io6Oxc+dOODo6okOHDjhz5gz279/Peq2Qu7s7Ll68CG9vb9jY2GDo0KFQU1PDqVOnGjTLrWh9H4LH4yE5ORmzZs3Cpk2b4OzsjI4dO+KXX37B1KlT4ejoCKFQCHd3d4mAF3gf9F65cgU3btyQWr6s69Ld3V3iXNV+LVVdEydORFJSEp49ewZPT0/Y2dkhKCgI2tramDFjBg4ePIiCggJ4enpKHNuqVSu0atUKQqEQpqamMDc3x4IFC9C5c2d88803WLt2LRYsWIA5c+awjpN3PX2qc0sIIYQQQhqHr+Y9vYQQoih6Ty8hhMhH7+klhHxu9J5eQgghhBBCCCEEFPQSQgghhBBCCGnEaN0eIYTIEPGffQq9uosQQgghhHy5aKaXEEIIIYQQQkijRUEvIYQQQgghhJBGi4JeQgghhBBCCCGNFgW9hBBCCCGEEEIaLXqQFSGEyDD0SACUNVQ+dzMIIeSLcGxw4uduAiGEfBCa6SWEEEIIIYQQ0mhR0EsIIYQQQgghpNGioJcQQgghhBBCSKNFQS8hhBBCCCGEkEbrqw56Bw4ciD59+kjdl5aWBg6Hgxs3biA3NxccDgcZGRmsPImJiXB1dYWOjg74fD5at26NhQsX4tWrV3B1dQWHw5G5ubq6MuWcP38e/fr1g56eHtTU1ODk5ITVq1ejurqaVV/t47W1tdGxY0ccOHCAlScuLg66uroS/SkrK0OTJk2gr6+PiooKif3m5ubgcDi4ePEiKz00NJTVVlkSExPRs2dP6OnpQV1dHba2thg9ejSuXbtWb9uksbOzA4/HQ35+vsS+hw8fYtiwYTA2NoaamhpMTU0xePBg3Llzh8lz+vRp9OzZE02aNIGGhgasra0RGBiId+/eyazT3Nwca9askUifP38+2rZtK5H+9OlTqKqqwtHRUWp5HA4HampqePToESt9yJAhGDlyJCstPz8fISEhEAgEUFNTQ/PmzdGtWzds2LABb9++ldnGhpy34uJi/Pjjj3BwcIC6ujqaNm2Kjh07YsWKFXj9+rXUPjTkOhZLTU0Fh8NBYWGh1DKljaeibXN1dUVoaKhEmbWvrQ9pMyGEEEIIaby+6qB3zJgxSE5OxtOnTyX2xcbGokOHDmjdurXUY+fMmQNfX1907NgRx44dw61bt7Bq1Spcv34df/zxB/bu3Yu8vDzk5eXh0qVLAICTJ08yaXv37gUA7Nu3Dy4uLjA1NUVKSgru3LmDkJAQLFq0CH5+fhCJRBLtysvLw5UrV9CtWzd4eXnh5s2b9fY1MTERDg4OsLOzw/79+6XmUVNTQ3h4eL1l1RUeHg5fX1+0bdsWBw8eRHZ2Nnbs2AFLS0tEREQ0uLyzZ8+irKwMXl5e2LJlC2tfZWUlPDw8UFRUhL179yI7Oxu7du2Ck5MTE2Tdvn0bffr0QYcOHXDmzBncvHkT69atg6qqqsQPCR8jLi4OPj4+KC4uRnp6utQ8HA4HkZGRcst58OAB2rVrh6SkJCxZsgTXrl3DhQsXMGvWLBw+fBgnT56Ue7wi5+3Vq1dwdnZGbGwsZsyYgfT0dFy9ehWLFy/GtWvXsGPHDqnHKXodf4wPbZss/4s2E0IIIYSQf4+v+pVFAwYMgIGBAeLi4jB37lwm/c2bN0hISMDPP/8s9bhLly5hyZIlWLNmDUJCQph0c3NzeHh4oLCwkDWjWV5eDgBo2rQpDA0NmfTS0lIEBwdj0KBB+O2335j0oKAgNG/eHIMGDcLu3bvh6+vL7NPV1YWhoSEMDQ3x008/Ye3atUhJSYGTk5PcvgqFQgQEBEAkEkEoFLLKFBs7diw2btyIo0ePol+/fnLLE7t48SJWrFiBtWvXYurUqUx6ixYt0L59e4mgXRFCoRDDhg2Di4sLQkJCWAFdZmYm7t+/j1OnTqFly5YAgJYtW6Jbt25MnqSkJBgaGmLFihVMmpWVlcxZ/Q8hEokQGxuL6OhomJqaQigUonPnzhL5Jk+ejNWrV2PmzJkyZ4QnTpwIZWVlXLlyBZqamky6paUlBg8eXO8YKnLeZs+ejcePHyMnJwfGxsZMesuWLdGrVy+ZdTRp0oT5f1nX8cf60LbJ8r9oMyGEEEII+ff4qmd6lZWVMWLECMTFxbH+sE5ISEB1dTX8/f2lHrd9+3bw+XxMnDhR6n5Fl/AmJSWhoKAAM2bMkNg3cOBA2NjYYOfOnVKPraqqglAoBACoqqrKref+/fu4cOECfHx84OPjg7S0NIkltwBgYWGB8ePHIyIiAjU1NQr1YefOnXLHgsPhKFSOWElJCRISEhAQEMDM6KalpTH7DQwMoKSkhD179sictTU0NEReXh7OnDnToLobIiUlBW/fvoW7uzsCAgIQHx+P0tJSiXzdunXDgAED8MMPP0gtp6CgAElJSZg0aRIr4K2tvjGs77zV1NRg165dCAgIYAWVDanjn/KltK2iogLFxcWsjRBCCCGENA5fddALAKNHj8b9+/dx+vRpJi02NhZDhw6Fjo6O1GPu3r0LS0tLqKiofFTdOTk5AIBWrVpJ3W9nZ8fkEfP39wefzwePx8O0adNgbm4OHx8fufXExMSgb9++0NPTQ5MmTdC7d2/ExsZKzTt37lw8fPgQ27dvV7gPlpaWUFb+v0UDq1evBp/PZ7aioiKFygKA+Ph4WFtbw8HBAVwuF35+fkxwDwAmJib45ZdfEBkZCT09PfTs2RM//fQTHjx4wOTx9vaGv78/XFxcYGRkBE9PT6xfv16hQCY8PJzVdj6fjyVLlkjkEwqF8PPzA5fLhaOjIywtLZGQkCC1zKVLl+L48eOs4F3s3r17EIlEsLW1ZaXr6+sz9Suy5FzeeXv58iUKCwsl6mjfvj1Th6wfeP5pH9K26OhoiXM0fvz4j2rH0qVLoaOjw2xmZmYfVR4hhBBCCPlyfPVBr52dHbp27YqYmBgA74OQtLQ0jBkzRuYxH7JkV56GlBcVFYWMjAwcO3YM9vb22Lx5M2s5Z13V1dXYsmULAgICmLSAgADExcVJnRU0MDDAjBkzEBkZKfehT/KMHj0aGRkZ2LRpE0pLSxvUv5iYGIm2JiQkoKSkhEmbNGkS8vPzsX37dnTp0gUJCQlwcHBAcnIyAIDL5SI2NhZPnz7FihUrYGJigiVLlsDBwQF5eXly6585cyYyMjJYW92AqrCwEHv37pVoZ+3gvDZ7e3uMGDFC5myvNJcuXUJGRgYcHBykPnisrg85b/v27UNGRgZ69+6NsrIyhdtWm4ODAxN49u3b94PKaGjbhg8fLnGOFi5c+FH1RUREoKioiNmePHnyUeURQgghhJAvx1cf9ALvH2iVmJiIkpISxMbGwsrKCi4uLjLz29jY4MGDB6isrPyoem1sbAAAWVlZUvdnZWUxecQMDQ0hEAjQq1cvxMbGwtfXFy9evJBZx4kTJ/Ds2TP4+vpCWVkZysrK8PPzw6NHj3Dq1Cmpx0yfPh1lZWWIjo6utw/W1tYSY6GrqwuBQAATE5N6j6/t9u3buHjxImbNmsW01dnZGW/fvkV8fDwrr5aWFgYOHIjFixfj+vXr6N69OxYtWsTKY2Jigu+//x7r169HZmYmysvLsXHjRrlt0NfXh0AgYG11f1TYsWMHysvL0blzZ6ad4eHhOHv2rMTMvNiCBQtw9epViYeICQQCcDgcZGdns9ItLS0hEAigrq4ut721yTpvBgYG0NXVlaijRYsWEAgE0NLSUriOuo4ePcoEnps3b27w8R/SNh0dHYlz1KxZsw/uAwDweDxoa2uzNkIIIYQQ0jhQ0AvAx8cHSkpK2LFjB7Zu3YrRo0fLvY9w2LBhePPmjcygUNarWurq1asXmjRpglWrVknsO3jwIO7evSt32WmnTp3Qvn17LF68WGYe8TLcujNjdZcN18bn8/Hjjz9i8eLFrBlWafz9/eWORUMIhUL06NED169fZ7V1+vTpMtsKvL/n087OTuo9tWJ6enowMjKSm6ch7QwLC2O1URx4i1cM1GVmZobJkydj9uzZrHuRmzZtCg8PD6xfv/6j2ybrvCkpKcHHxwfbtm3D8+fPP6qOulq2bMkEng39keOfbhshhBBCCCEABb0A3gcLvr6+iIiIQF5ensQ7VOvq3LkzZs2ahbCwMMyaNQsXLlxgZk69vb0lXrMji6amJjZt2oQDBw5g7NixzDuBhUIhRo4cCS8vr3rv1w0NDcWmTZvw7NkziX0vX77EoUOHEBgYCEdHR9Y2YsQI7N+/H69evZJa7tixY6Gjo1Pv62K6dOmCsLAwhIWFYfr06Th79iwePXqEixcvQigUgsPhQEnp/y6z6upqiQA8KysLlZWV+OOPP+Dv7y/R1qCgIKSnpyMzMxMZGRkYPHgw9uzZg9u3b+PevXsQCoWIiYnB4MGDAQCbNm3ChAkTkJSUhPv37yMzMxPh4eHIzMzEwIED6zstcmVkZODq1asICgqSaKe/vz+2bNny/9i776gozu/x4++lI0uxA2pEQao1UbHFChG7RhFR7JrEGBUbisZGxN5jjCYuoLEB9pLECmqixFiwYEETjSZCbBHsgPD7wx/zZd2lamLC577OmXOyM3eeuc/skOPdZ+YZMjIy9O4bHBzMzZs3dV5BtGzZMjIyMqhbty6RkZFcuHCBS5cusWbNGi5evIihoWGB88vte5sxYwYVKlSgfv36hIWFcebMGX755Re2bNnC0aNHC3WMgjp79qzODwP6vInchBBCCCHE/47/6VcW5TRw4EA0Gg1t27bNdRbZnGbPns0777zDF198wfLly8nMzMTR0ZFu3brRt2/fAh+3W7duxMTEEBoayrvvvsvTp0+pVq0aEydOJDAwMN+Za318fKhSpQqhoaE6o62rV6/GwsKCVq1a6ezXqlUrzM3NWbNmjdarhrIZGxvz2Wef0bNnz3z7MG/ePOrXr8+XX35JWFgYjx8/pnz58jRt2pSjR49q3Sr68OFD6tSpo7W/o6Mjs2fP5u7du3Tp0kWnfTc3N9zc3NBoNEyYMAEHBwemTZvGtWvXUKlUyueRI0cCL0bAf/jhBz766CNu3ryJWq3Gw8ODrVu35nnbekFoNBrc3d1xdXXV2dalSxc++eQTvv32Wzp27KizvVSpUowbN44JEybo9P/UqVPMmDGD4OBgfv/9d0xNTXF3d2fMmDG5zoytT27fW+nSpTl27BizZ89m7ty5XL16FQMDA6pVq4afnx+BgYEFPkZBNW3aVOuzoaGh3h8E3kRuQgghhBDif4cq63XPyiSEEP9xqampWFtb47WuA0YlXm2WdiGEKC6+67TpTacghBCK7H+vpaSk5Dsfi9zeLIQQQgghhBCi2JKiVwghhBBCCCFEsSXP9AohRC42tVsjry8SQgghhPiPk5FeIYQQQgghhBDFlhS9QgghhBBCCCGKrVcqeu/fv8/KlSsJDg5W3vd68uRJve+MFUIIIYQQQggh/mlFfqb3zJkzeHl5YW1tzbVr1xg8eDClSpVi8+bNXL9+ndWrV7/OPIUQQgghhBBCiEIrctE7atQo+vXrx5w5c7C0tFTWt23blp49e76W5IQQ4k3qumMOxiXM3nQaQgjxxn3b5dM3nYIQQhRZkW9v/vnnn/nwww911leoUIHk5ORXSkoIIYQQQgghhHgdilz0mpqakpqaqrM+MTGRsmXLvlJSQgghhBBCCCHE61Dkordjx46EhISQnp4OgEql4vr164wbN46uXbu+tgSFEEIIIYQQQoiiKnLRO3/+fB4+fEi5cuV48uQJzZo1w8nJCUtLS0JDQ19njkIIIYQQQgghRJEUuei1trZm79697NixgyVLlvDJJ5/w7bffcvDgQSwsLF5njgLo168fKpUKlUqFiYkJTk5OhISEkJGRoRXXunVrDA0N+fnnn/W2c+rUKXx9fSlfvjxmZmZUq1aNwYMHk5iYCMC1a9dQqVTEx8cr+zx48IAWLVrg7u7O77//nmuOCQkJdO/enbJly2JqaoqzszOTJ0/m8ePHWnEODg5KX7KXihUr5tlu165dlf0WLVqkEzNz5kzq1auHpaUl5cqVo3Pnzly6dCnXNgGmTp1K7dq1c93+/PlzFi5cSI0aNTAzM6NkyZK0adOGH3/8USsuIiIClUqFj4+P1vr79++jUqmIjY1V1uXss4WFBdWqVaNfv36cOHHiHzl+Ti9/By8vU6dO1Xs9bNmyhQYNGmBtbY2lpSUeHh4EBgZq5T1r1ixcXV0xNzenVKlSeHp6snLlSiWmefPmWvvk7IuNjY3yeerUqXpzc3V1VWKuXr1Kz549sbe3x8zMjIoVK9KpUycuXryot99CCCGEEOJ/yyu9pxegSZMmfPzxxwQFBeHl5fU6chK58PHxISkpicuXLzN69GimTp3K3Llzle3Xr1/nyJEjfPLJJ4SFhensv3PnTho0aMCzZ89Yu3YtFy5cYM2aNVhbWzNp0iS9x7x9+zYtWrTg0aNHHD58ONfiNC4uDk9PT9LS0ti1axeJiYmEhoYSERGBt7c3aWlpWvEhISEkJSUpy6lTp3Lt9+PHj6latSqzZs3C1tZWb8zBgwcZOnQocXFx7N27l/T0dN577z0ePXqUa7t5ycrKokePHoSEhDBixAguXLhAbGwslSpVonnz5mzdulUr3sjIiH379hETE5Nv2+Hh4SQlJZGQkMAXX3zBw4cP8fT01HrN1995/Gw5z/+iRYuwsrLSWjdmzBidffbv34+fnx9du3bl2LFjnDhxgtDQUOUxB4Bp06axcOFCPvvsM86fP09MTAwffPAB9+/fL3BuOXl4eGjllZSUxA8//ABAeno63t7epKSksHnzZi5dukRkZCQ1atQo8vGEEEIIIUTxUuRXFsGLGZxjYmK4desWmZmZWtsWLFjwSokJXaampkrRN2TIELZs2cL27dsJDg4GXhRT7du3Z8iQITRo0IAFCxZgbm4OvCgc+/fvT9u2bdmyZYvSZpUqVfD09NRbINy4cQNvb28qVKjAtm3bUKvVevPKyspi4MCBuLm5sXnzZgwMXvyWUrlyZZydnalTpw4LFy5k3Lhxyj6Wlpa5FrAvq1evHvXq1QNg/PjxemO+//57rc8RERGUK1eOEydO0LRp0wIdJ6eoqCg2btzI9u3b6dChg7L+q6++4u7duwwaNAhvb2/lrgYLCwu6d+/O+PHj+emnn/Js28bGRum7g4MD7733Hn379uWTTz6hQ4cOlCxZ8m89frac59/a2hqVSqXzndy5c0fr844dO2jcuDFjx45V1jk7O9O5c2fl8/bt2/n444/x9fVV1tWqVatAOeljZGSU67WSkJDAL7/8wv79+6lcuTLw4rpr3LhxkY8nhBBCCCGKlyKP9M6YMQNPT0/Cw8M5fvw4p06dUpact0KKv4+5ubkygpqVlUV4eDgBAQG4urri5OTExo0bldjdu3dz584dgoKC9LaV85ZSgEuXLtG4cWPc3d359ttvcy14AeLj4zl//jyjRo1SCt5stWrVwsvLi/Xr1xexl0WTkpICQKlSpYq0/7p163B2dtYqOLONHj2au3fvsnfvXq31U6dO5ezZs1rnvaBGjhzJgwcPlDb/6eMXlK2tLQkJCZw7dy7PmAMHDnD79u2/LY9sZcuWxcDAgI0bN/L8+fMit/Ps2TNSU1O1FiGEEEIIUTwUuehdvHgxYWFhym2XMTExynLgwIHXmaN4SVZWFvv27WP37t20bNkSgH379vH48WNat24NQEBAABqNRtnn8uXLAFrPQualT58+ODk5ER0djampaZ6x2c8Du7m56d3u5uamxGQbN24carVaWZYsWVKgvAoiMzOTwMBAGjduTPXq1YvURmJiYp79yY7Jyd7enhEjRjBx4kSdZ63zk/29XLt27Y0cv6CGDRtGvXr1qFGjBg4ODvTo0YOwsDCePXumxCxYsIDbt29ja2tLzZo1+eijj/juu++KfMyzZ89qXStqtZqPPvoIePFe8CVLljB58mRKlixJy5Yt+eyzz/j1118LdYyZM2dibW2tLJUqVSpyvkIIIYQQ4t+lyEWvgYGB3EL4D9u5cydqtRozMzPatGmDn58fU6dOBSAsLAw/Pz+MjF7cse7v78+PP/7IL7/8ArwolAujY8eOHD58mM2bNxd4n8IcY+zYscTHxytLnz59CpVfXoYOHcq5c+fYsGHDK7VT2HMGL4r527dv632muiDHUqlUb+T4BWVhYcGuXbu4cuUKn376KWq1mtGjR1O/fn1lwjJ3d3fOnTtHXFwcAwYM4NatW3To0IFBgwYV6ZguLi5a10p8fDwhISHK9qFDh5KcnMzatWtp2LAh0dHReHh46IyE5yU4OJiUlBRluXHjRpFyFUIIIYQQ/z5FLnpHjhzJF1988TpzEflo0aIF8fHxXL58mSdPnrBq1SosLCy4d+8eW7ZsYdmyZRgZGWFkZESFChXIyMhQih9nZ2eAAs9oO3HiRCZPnkzPnj2JiorKMza77QsXLujdfuHCBSUmW5kyZXByclKWl2+vLqpPPvmEnTt3EhMTk+eM0PlxdnbOsz/ZMS+zsbEhODiYadOm6cxanZfsNqtUqfJGjl9Yjo6ODBo0iJUrV3Ly5EnOnz9PZGSkst3AwIB69eoRGBjI5s2biYiIQKPRcPXqVQCsrKyUW9Bzun//PtbW1lrrsmcrz7mUK1dOK8bS0pIOHToQGhrK6dOneffdd5k+fXqB+2NqaoqVlZXWIoQQQgghiociF71jxozh0qVLODo60qFDB95//32tRbx+FhYWODk58dZbbykjugBr166lYsWKnD59Wms0bP78+URERPD8+XPee+89ypQpw5w5c/S2rW8iq0mTJjF16lR69eqlVdC8rHbt2ri6urJw4UKdCc1Onz7Nvn378Pf3L1qnCygrK4tPPvmELVu2cODAAaV4LKoePXpw+fJlduzYobNt/vz5lC5dGm9vb737Dhs2DAMDAxYvXlzg42XPnpw9A/o/ffxX4eDgQIkSJfKcKdvd3R1AiXFxceHkyZM6cSdPntRbzBdG9iuNijpztxBCCCGEKF6KPHvz8OHDiYmJoUWLFpQuXVrrtkzxz9JoNHTr1k3n+dVKlSoRHBzM999/T7t27Vi5ciW+vr507NiR4cOH4+TkxJ07d4iKiuL69et6bweeOHEihoaG9OrVi8zMTL3Fq0qlQqPR4O3tTdeuXQkODsbW1paffvqJ0aNH07BhQ73vZC2otLQ0zp8/r/z3H3/8QXx8PGq1GicnJ+DFLa7r1q1j27ZtWFpakpycDLyYlTh7Bmt9njx5ojPxmqWlJT169CA6Opq+ffsyd+5cWrVqRWpqKl988QXbt28nOjo61/dRm5mZMW3aNIYOHap3+/3790lOTubZs2ckJiayYsUKtm7dyurVq5UR77/z+K9i6tSpPH78mLZt21K5cmXu37/PkiVLlFcHAXTr1o3GjRvTqFEjbG1tuXr1KsHBwTg7OyvPLg8ZMoSlS5cyfPhwBg0ahKmpKbt27WL9+vU6hX5GRobyfWZTqVSUL1+e+Ph4pkyZQu/evXF3d8fExISDBw8SFhamNVu4EEIIIYT431XkonfVqlVs2rSJdu3avc58RCGdOHGC06dP8/XXX+tss7a2plWrVmg0Gtq1a0enTp04cuQIM2fOpGfPnqSmplKpUiVatmyZ562g48ePx8DAgN69e5OVlUXPnj11Yho1akRcXBzTpk2jTZs2PHjwgLfeeou+ffsSHByc72RYebl58yZ16tRRPs+bN4958+bRrFkzYmNjAfjyyy8BaN68uda+4eHh9OvXL9e2ExMTtdoGaNWqFfv27SMqKopFixaxcOFCPv74Y8zMzGjYsCGxsbH5Ps/et29f5s+frxTrOfXv3x94UZxWqFCBJk2acOzYMd5++20lRqVS/W3HfxXNmjXjiy++oE+fPvz555+ULFmSOnXqsGfPHlxcXABo3bo169evZ+bMmaSkpGBra0vLli2ZOnWqcodC1apVOXToEBMnTsTLy4u0tDRcXV2Jjo7Gx8dH65gJCQnY2dlprTM1NeXp06dUrFgRBwcHpk2bxrVr11CpVMrnkSNHvta+CyGEEEKI/yZVVlFmy+HFuzB3795d4NmAhRDivyI1NRVra2u81kzEuITZm05HCCHeuG+7fPqmUxBCCC3Z/15LSUnJdz6WIj/TO3XqVKZMmfK3TpYjhBBCCCGEEEK8iiLf3rxkyRJ++eUXypcvj4ODA8bGxlrb9U1SI4QQQgghhBBC/JOKXPR27tz5NaYhhBD/Pps6BMnri4QQQggh/uOK/EyvEEIUV4V5RkQIIYQQQvzz/pFneoUQQgghhBBCiH+7It/e/Pz5cxYuXKi84zUtLU1r+7179145OSGEEEIIIYQQ4lUUeaR32rRpLFiwAD8/P1JSUhg1ahTvv/8+BgYGTJ069TWmKIQQQgghhBBCFE2Rn+l1dHRkyZIltGvXDktLS+Lj45V1cXFxrFu37nXnKoQQ/4jsZ0S8v5mPcQnzN52OEEIodr0/5E2nIIQQ/wr/yDO9ycnJ1KhRAwC1Wk1KSgoA7du3Z9euXUVtVgghhBBCCCGEeG2KXPRWrFiRpKQk4MWo7549ewD4+eefMTU1fT3ZCSGEEEIIIYQQr6DIRW+XLl3Yv38/AMOGDWPSpElUq1aNPn36MGDAgNeWoBBCCCGEEEIIUVRFnr151qxZyn/7+fnx1ltvcfToUapVq0aHDh1eS3JCCCGEEEIIIcSreG3v6W3YsCGjRo2SgvdfrF+/fnTu3BmA5s2bExgYqBMTERGBjY2N8nnq1KmoVCp8fHx0YufOnYtKpaJ58+Y68dmLtbU17777LgcPHtTZf9WqVdSrV48SJUpgaWlJs2bN2LlzZ779cHBwUNo3NDTE3t6egQMH8tdff+mNd3V1xdTUlOTkZL3bY2JiaN++PWXLlsXMzAxHR0f8/Pw4dOhQgfOwsLDg7bffJjo6Wutc1K5dW+fcfPTRR1rtxMfHo1KpuHbtGgDXrl1DpVIRHx+vxDx48IAWLVrg7u7O77//rjef5s2bK/mYmZnh7u7OsmXLtGKePHnClClTcHZ2xtTUlDJlyuDr60tCQoJW3Mu56zvWy9fP4sWLMTU1ZcOGDVrrP/zwQwwNDbXOzcvnRKVSYWRkRJkyZWjatCmLFi3i2bNnOvEJCQl0796dsmXLYmpqirOzM5MnT+bx48cAxMbGal1/+pbY2Nhc+yWEEEIIIYqfVyp6L1++zFdffcX06dMJCQnRWkTxYWdnR0xMjE6xFRYWxltvvaUT7+HhQVJSEklJScrof/v27ZXJzgDGjBnDhx9+iJ+fH2fOnOHYsWM0adKETp06sXTp0nxzCgkJISkpievXr7N27VoOHTrE8OHDdeJ++OEHnjx5Qrdu3Vi1apXO9mXLltGqVStKly5NZGQkly5dYsuWLTRq1IiRI0cWOI9Tp05Rr149/Pz8OHLkSK7xZmZmaDQaLl++nG/b2W7fvk2LFi149OgRhw8fpmLFirnGDh48mKSkJM6fP0/37t0ZOnQo69evB+DZs2d4eXkRFhbG9OnTSUxM5NtvvyUjIwNPT0/i4uIKnNPLpkyZwoQJE9i2bRs9evRQ1j9+/JgNGzYQFBREWFiY3n2zr5fr168TExODr68vM2fOpFGjRjx48ECJi4uLw9PTk7S0NHbt2kViYiKhoaFERETg7e1NWloajRo1Uq69pKQkunfvjo+Pj9a6Ro0aFbmfQgghhBDiv6fItzd//fXXDBkyhDJlymBra4tKpVK2qVQqJk+e/FoSFG9euXLleOedd1i1ahUTJ04E4MiRI9y5cwdfX1/Onz+vFW9kZIStrS0Atra2hISEEB4eTmJiIvXq1SMuLo758+ezZMkShg0bpuwXGhrK06dPGTVqFJ06daJSpUq55mRpaakco0KFCvTt21cp7nLSaDT07NmTZs2aMWLECMaNG6dsu379OoGBgQQGBrJgwQKt/WrWrKm3iM4tD1tbW7744gvWrFnDjh07ci2sXFxcKFeuHBMnTiQqKirf9m/cuIG3tzcVKlRg27ZtqNXqPONLlCihnJepU6eybt06tm/fjr+/P4sWLeLo0aOcOnWKWrVqAVC5cmU2bdqEp6cnAwcO5Ny5c1p/y/nJyspi+PDhrFmzhr179+r0Ozo6Gnd3d8aPH4+9vT03btzQ+V5zXi/29vbUqFEDb29vatWqxezZs5k+fTpZWVkMHDgQNzc3Nm/ejIGBgZK/s7MzderUYeHChYwbN05pC8Dc3Jxnz55prRNCCCGEEP9bijzSO336dEJDQ0lOTiY+Pp5Tp04py8mTJ19njuJfYMCAAURERCifw8LC6NWrFyYmJnnu9+zZM8LDw7GxscHFxQWA9evXo1ar+fDDD3XiR48eTXp6Ops2bSpwbn/88Qc7duzA09NTa/2DBw+Ijo4mICAAb29vUlJSOHz4sLJ906ZNpKenExQUpLfdwhR/8KJ4MzY2Ji0tLc+4WbNmsWnTJo4fP55n3KVLl2jcuDHu7u58++23+Ra8+pibmyv5rFu3TikmczIwMGDkyJGcP3+e06dPF7jtjIwMAgIC2LhxIwcPHtRb6Gs0GgICArC2tqZNmzZa11BeXF1dadOmDZs3bwZe3AJ+/vx5Ro0apRS82WrVqoWXl5feHz0K6tmzZ6SmpmotQgghhBCieChy0fvXX3/h6+v7OnMR/2Lt27cnNTWVQ4cO8ejRI6KionKdpfvs2bOo1WrUajXm5ubMmzeP9evXKy+NTkxMxNHRUW/BbG9vj5WVFYmJiXnmM27cOKX9ihUrolKpdEZrN2zYQLVq1fDw8MDQ0JAePXqg0WiU7YmJiVhZWWmNAm7atEnJXa1Wc/bs2QKdn7S0NGbOnElKSgotW7bMM/btt9+me/fuWqPO+vTp0wcnJyeio6ML/Rqw58+fs2bNGs6cOaPkk5iYiJubm9747PX5nfecvv76azZu3EhMTAw1a9bU2X758mXi4uLw8/MDICAggPDwcLKysgrUvqurq/Kcc3ZeeeVfmNxfNnPmTKytrZUlr7sMhBBCCCHEf0uRi15fX1/l3byi+DM2NlaKlujoaJydnfUWOvDiFt74+Hji4+M5ceIEQ4YMwdfXV2tks6CFT27Gjh1LfHw8Z86cUV6d1a5dO54/f67EhIWFERAQoHwOCAggOjpa6znRl0dzW7duTXx8PLt27eLRo0da7emTXXyXKFGC2bNnM2vWLNq1a5dv/tOnT+fw4cN5/g117NiRw4cPK6OdBbFs2TLlx4DBgwczcuRIhgwZomx/1fOeU5MmTVCr1UyaNImMjAyd7WFhYbRu3ZoyZcoA0LZtW1JSUjhw4ECB2s/KytL5fl5n/jkFBweTkpKiLDdu3PhbjiOEEEIIIf55RX6m18nJiUmTJhEXF0eNGjUwNjbW2l6Q5yHFm2NlZaU1sVS2+/fvY21trXefAQMG4Onpyblz5/J8F7OJiQlOTk7K5zp16rB161YWLVrEmjVrcHZ25ocffiAtLU1ntPfmzZukpqbi7OycZ/5lypRRjlGtWjUWLVpEw4YNiYmJwcvLi/PnzxMXF8exY8e0RlSfP3/Ohg0bGDx4MNWqVSMlJYXk5GRltFetVuPk5ISRUcH+NMaOHUu/fv1Qq9WUL1++wLdEOzo6MnjwYMaPH681+pzTxIkTqVmzJj179iQrK4vu3bvn226vXr2YOHEi5ubm2NnZad0K7OzszIULF/Tul70+v/OeU40aNZg/fz5eXl74+fkRGRmpnLfnz5+zatUqkpOTtc7l8+fPCQsLo1WrVvm2f+HCBapUqaKV14ULF6hTp47e2MLk/jJTU9NCj6YLIYQQQoj/hiKP9H711Veo1WoOHjzI0qVLWbhwobIsWrToNaYo/g4uLi56n70+efJkrsWDh4cHHh4enDt3jp49exbqeIaGhjx58gSAHj168PDhQ1asWKETN2/ePIyNjenatWuh2weUY2g0Gpo2bcrp06eVUef4+HhGjRqlFJndunXD2NiY2bNnF+pYOWUX3y9P5lYQkydPJjExUecVPzlNmjSJqVOn0qtXLyIjI/Nt09raGicnJypUqKDz7GuPHj3Yt2+fznO7mZmZLFy4EHd3d53nffNTu3Zt9u/fz6FDh+jevTvp6ekAfPvttzx48IBTp05pnf/169ezefNm7t+/n2e7Fy9e5Pvvv1eug9q1a+Pq6srChQvJzMzUij19+jT79u3D39+/ULkLIYQQQoj/DUUe6b169errzEP8w4YMGcLSpUsZPnw4gwYNwtTUlF27drF+/Xp27NiR634HDhwgPT1d612+L8vIyFDeifvgwQMiIyM5f/68MuLasGFDRowYwdixY0lLS6Nz586kp6ezZs0aFi9ezKJFi/J9pvLBgwckJyeTlZXFjRs3CAoKomzZsjRq1Ij09HS++eYbQkJCqF69utZ+gwYNYsGCBSQkJODh4cH8+fMZMWIE9+7do1+/flSpUoV79+6xZs0a4P+K6b9D+fLlGTVqFHPnzs0zbuLEiRgaGtKrVy8yMzOLXNyNHDmSbdu20aFDB+bPn4+npyd//vknM2bM4MKFC+zbt0+rcH/y5InWu4LhxWzVjo6OWutq1arFgQMHaNWqFd27dycqKgqNRkO7du10imh3d3dGjhzJ2rVrGTp0KPB/10tmZiZ3794lNjaW6dOnU7t2bcaOHQu8uA1do9Hg7e1N165dCQ4OxtbWlp9++onRo0fTsGFDve+dFkIIIYQQ4pXe01sQVlZW/Prrr3/3YUQBZGZmKreaVq1alUOHDnHx4kW8vLzw9PQkKiqK6OhofHx8cm3DwsIiz4IXICEhATs7O+zs7KhduzZRUVF8+eWX9OnTR4lZtGgRy5YtY/369VSvXp26dety6NAhtm7dqvUao9xMnjwZOzs77O3tad++PRYWFuzZs4fSpUuzfft27t69S5cuXXT2c3Nzw83NTRntHTZsGHv27OH27dt069aNatWq0bZtW65evcr3339PjRo18s3lVYwZM6ZAszKPHz+eGTNm0Lt3b9atW1ekY5mZmXHgwAH69OnDhAkTcHJywsfHB0NDQ+Li4mjQoIFWfGJiInXq1NFa9M24DS9udT5w4ABHjhyhY8eObNu2Te9ovYGBAV26dNG6pTv7ennrrbdo3rw5UVFRBAcHc/jwYa1z06hRI+Li4jA0NKRNmzY4OTkRHBxM37592bt3r9yeLIQQQggh9FJl/V0zw/x/lpaWnD59mqpVq/6dhxEF4OPjg5OTE0uXLn3TqQjxr5aamoq1tTXe38zHuIT5m05HCCEUu94fkn+QEEL8D8j+91pKSorylpjc/O0jveLN++uvv9i5cyexsbF4eXm96XSEEEIIIYQQ4h9T5Gd6xX/HgAED+Pnnnxk9ejSdOnV60+kIIYQQQgghxD9Git7/AVu2bHnTKQjxn7Sx46B8b5cRQgghhBD/bn/77c2FfY2LEEIIIYQQQgjxuvztRe/fPE+WEEIIIYQQQgiRqyIXvSEhITx+/Fhn/ZMnTwgJCVE+f/fdd1SoUKGohxFCCCGEEEIIIYqsyK8sMjQ0JCkpiXLlymmtv3v3LuXKleP58+evJUEhhPinFWYKfCGEEEII8c8rzL/XijyRVVZWlt7ndU+fPk2pUqWK2qwQQvxr+G6NxLhEiTedhhDiP2hnt15vOgUhhBD/X6GL3pIlS6JSqVCpVDg7O2sVvs+fP+fhw4d89NFHrzVJIYQQQgghhBCiKApd9C5atIisrCwGDBjAtGnTsLa2VraZmJjg4OBAw4YNX2uSQgghhBBCCCFEURS66O3bty8AVapUoXHjxhgZyat+hRBCCCGEEEL8OxV59uZHjx6xf/9+nfW7d+/mu+++e6WkhBBCCCGEEEKI16HIRe/48eP1ztCclZXF+PHjC9RGv379lOeDcy5XrlxRYmbOnImhoSFz587V2T8iIgIbGxutz9ltGBgYYGdnh5+fH9evXycrKwsvLy9at26t086yZcuwsbHh999/zzXXU6dO4evrS/ny5TEzM6NatWoMHjyYxMREndjWrVtjaGjIzz//rLfPnTt31lq3ceNGzMzMmD9/fp7nxcfHJ9f8pk6dqnefffv2Kdtr166d6/7Znjx5QqlSpShTpgzPnj3T2e7g4IBKpSIuLk5rfWBgIM2bN9fJ5+Xnu+Pj41GpVFy7dg2Aa9eu6c075zFe/p4Lw9XVFVNTU5KTk3W2Xb16lZ49e2Jvb4+ZmRkVK1akU6dOXLx4UYk5ePAgLVu2pFSpUpQoUYJq1arRt29f0tLSlJjnz5+zcOFCatSogZmZGSVLlqRNmzb8+OOPWsfL6/rM6zxkLxEREcTGxua6PbuPOa8FIyMjypQpQ9OmTVm0aJHe7/RlaWlpzJkzh1q1alGiRAnKlClD48aNCQ8PJz09XYm7ceMGAwYMwN7eHhMTEypXrsyIESO4e/euVnvNmzcnMDAw1+Pdu3ePwMBAKleujImJCfb29gwYMIDr168XqJ2Xr4+c/Tc0NKRSpUp88MEH3Lt3L9++CyGEEEKI4qfIRe/ly5dxd3fXWe/q6qpVtObHx8eHpKQkraVKlSrK9rCwMIKCgggLCytQe1ZWViQlJfHHH3+wadMmLl26hK+vLyqVivDwcH766SdWrFihxF+9epWgoCA+//xzKlasqLfNnTt30qBBA549e8batWu5cOECa9aswdramkmTJmnFXr9+nSNHjvDJJ58UKOeVK1fSq1cvvvzyS0aPHp3neVm/fn2ebXl4eOjs07Rp03xzyGnTpk14eHjg6urK1q1b9caYmZkxbty4fNsyMzNDo9Fw+fLlfGP37dunk/s777xTqNxf9sMPP/DkyRO6devGqlWrtLalp6fj7e1NSkoKmzdv5tKlS0RGRlKjRg3u378PwPnz5/Hx8aFu3bocOnSIs2fP8vnnn2NiYqL84JOVlUWPHj0ICQlhxIgRXLhwgdjYWCpVqkTz5s11zmFu12elSpW0+j569Gid79PPz09p59KlSzrnK+frw7L3vX79OjExMfj6+jJz5kwaNWrEgwcPcj1naWlptG7dmlmzZvHBBx9w5MgRjh07xtChQ/n8889JSEgA4Ndff6Vu3bpcvnyZ9evXc+XKFZYvX87+/ftp2LBhgQvMe/fu0aBBA/bt28fy5cu5cuUKGzZs4MqVK9SrV49ff/21QO28LGf/w8PD+f777xkyZEiR2hJCCCGEEP9tRX4g19raml9//RUHBwet9VeuXMHCwqLA7ZiammJra6t328GDB3ny5AkhISGsXr2aI0eO0KhRozzbU6lUSnt2dnYMHDiQ4cOHk5qaSqVKlVi8eDGffPIJ7733Hg4ODgwcOJD33nuP3r17623v8ePH9O/fn7Zt27JlyxZlfZUqVfD09FQKpGzh4eG0b9+eIUOG0KBBAxYsWIC5ubnetufMmcOUKVPYsGEDXbp0KfB5yY2RkVGh93mZRqMhICCArKwsNBqNVqGV7YMPPmD58uV8++23tG3bNte2XFxcKFeuHBMnTiQqKirP45YuXfqVc3+ZRqOhZ8+eNGvWjBEjRmgV6gkJCfzyyy/s37+fypUrA1C5cmUaN26sxOzZswdbW1vmzJmjrHN0dNQacY+KimLjxo1s376dDh06KOu/+uor7t69y6BBg/D29lb+JnK7Ph89eqTVf7Vanef3Wa5cuTxHv3Pua29vT40aNfD29qZWrVrMnj2b6dOn691v0aJFHDp0iOPHj1OnTh1lfdWqVfH19VVGuIcOHYqJiQl79uxRru+33nqLOnXq4OjoyMSJE/nyyy9zzS/bxIkTuXnzJleuXFHyfeutt9i9ezfVqlVj6NChRXpcImf/K1SogK+vL+Hh4YVuRwghhBBC/PcVeaS3U6dOBAYG8ssvvyjrrly5wujRo+nYseNrSU6j0eDv74+xsTH+/v5oNJpC7X/r1i22bNmCoaEhhoaGwIuJuFq1asWAAQNYunQp586d0xr5fdnu3bu5c+cOQUFBerfnLDyysrIIDw8nICAAV1dXnJyc2Lhxo979xo0bx2effcbOnTt1Ct435ZdffuHo0aN0796d7t27c/jwYX777TeduCpVqvDRRx8RHBxMZmZmnm3OmjWLTZs2cfz48b8rbb0ePHhAdHQ0AQEByoju4cOHle1ly5bFwMCAjRs36r1NH8DW1pakpCQOHTqU63HWrVuHs7OzVsGbbfTo0dy9e5e9e/fq3Vff9fl3cnV1pU2bNmzevDnXmLVr1+Ll5aVV8GYzNjbGwsKCe/fusXv3bj7++GOdH3RsbW3p1asXkZGRZGVl5ZlPZmYmGzZsoFevXjrFvbm5OR9//DG7d+9+5duSr127xu7duzExMck15tmzZ6SmpmotQgghhBCieChy0TtnzhwsLCxwdXWlSpUqVKlSBTc3N0qXLs28efMK3M7OnTtRq9XK4uvrC0BqaiobN24kICAAgICAAKKionj48GGe7aWkpKBWq7GwsKB8+fLExMQwdOhQrdHnr776inPnzhEYGMhXX31F2bJlc20v+9ZcV1fXfPuyb98+Hj9+rDw3HBAQoLdQ/+6775gzZw7btm2jVatWett6+byo1WpmzJiR5/HPnj2rFV+/fv18c84pLCyMNm3aULJkSUqVKkXr1q1zHR379NNPuXr1KmvXrs2zzbfffpvu3bvnezt0o0aNdPr7KjZs2EC1atXw8PDA0NCQHj16aH0XFSpUYMmSJUyePJmSJUvSsmVLPvvsM63baX19ffH396dZs2bY2dnRpUsXli5dqlUQJSYm4ubmpjeH7PU5n/suyPVZEBUrVtQ6Vx4eHgXaz9XVVXmeWp/Lly/ne61fvnyZrKysPPv9119/cfv27TzbuX37Nvfv38+znaysrEI9LpEt+2/B3NycKlWqkJCQkOc1OHPmTKytrZWlUqVKhT6mEEIIIYT4d3ql25uPHDnC3r17OX36NObm5tSsWbPQz5C2aNFC6zbI7H/8r1+/HkdHR2rVqgVA7dq1qVy5MpGRkQwcODDX9iwtLTl58iTp6el89913rF27ltDQUK2YcuXK8eGHH7J161adSaVelt9oVU5hYWH4+fkpr3Hy9/dn7Nix/PLLLzg6OipxNWvW5M6dO0yZMoX69evrLfBePi8ApUqVyvP4Li4ubN++Xflsampa4NyfP3/OqlWrWLx4sbIuICCAMWPGMHnyZAwMtH8fKVu2rLJN3y3QOU2fPh03Nzf27Nmj9dxpTpGRkbkWP0URFham/GACL/rSrFkzPv/8cywtLYEXt+j26dOH2NhY4uLiiI6OZsaMGWzfvh1vb28MDQ0JDw9n+vTpHDhwgJ9++okZM2Ywe/Zsjh07hp2dHVC4a6Qg12dBHD58WOkHvBiFLYisrCxUKlWe2wuqMLH/RDs5Zf8tPH36lDVr1hAfH8+wYcNyjQ8ODmbUqFHK5+zHIYQQQgghxH9fkUd64cXzie+99x5jx47lk08+KXTBCy+KXCcnJ2XJLiQ0Gg0JCQkYGRkpy/nz5/OdHMrAwAAnJyfc3NwYNWoUDRo00DuBTXab+XF2dgbQmtFXn3v37rFlyxaWLVumtF2hQgUyMjJ0cq5QoQKxsbH88ccf+Pj46J1Y6OXz4uTklG/Ra2JiohVfmH+07969mz/++EMp2o2MjOjRowe//fab3ldTAYwaNYonT56wbNmyPNt2dHRk8ODBjB8/PtcCp1KlSjr9Larz588TFxdHUFCQ0pcGDRrw+PFjNmzYoBVraWlJhw4dCA0N5fTp07z77rs6z7tWqFCB3r17s3TpUhISEnj69CnLly8HXlwfFy5c0JtH9vrsawgKfn3mp0qVKlrnKvu55PxcuHBBa6K4lzk7O+d7rTs5OaFSqfLsd8mSJfO8gwJe/HBiY2OTZzsqlUq5FqysrEhJSdGJu3//PtbW1lrrsv8WqlevzqxZszA0NGTatGm55mJqaoqVlZXWIoQQQgghiociF70hISF5Lq/i7NmzHD9+nNjYWOLj45UlNjaWo0eP5vuP8pzGjx9PZGQkJ0+eLFIu7733HmXKlNGazCin7Ims1q5dS8WKFTl9+rRWzvPnzyciIkLnudHKlStz8OBBkpOTcy18/0kajYYePXpo5R4fH69zW3BOarWaSZMmERoamm/+kydPJjExUafo/DtoNBqaNm2q812MGjUqz+fCVSoVrq6uPHr0KNeYkiVLYmdnp8T06NGDy5cvs2PHDp3Y+fPnU7p0aby9vXNt71Wvz8K4ePEi33//PV27ds01pmfPnuzbt49Tp07pbEtPT+fRo0dKn5YtW8aTJ0+0YpKTk1m7di1+fn55jijDix8Aunfvzrp163ReKZX9Y0rr1q2VH3tcXFz0nqeTJ09q/bCgz6effsq8efO4efNmnnFCCCGEEKL4KfLtzTlnMoYX/yC+evUqRkZGODo6Mnny5CInpdFoqF+/vt6R43r16qHRaPS+t1efSpUq0aVLFyZPnszOnTsLnYuFhQUrV67E19eXjh07Mnz4cJycnLhz5w5RUVFcv36dDRs2oNFo6NatG9WrV9c5fnBwMN9//z3t2rXT2RYbG0uLFi1o3bo133//vTLC9OzZM51CIPudq0X15MkT4uPjtdZZWlpiZWXFjh072L59u07+ffr0oUuXLty7d0/vSPMHH3zAwoULWbduHZ6enrkeu3z58owaNSrX7+3u3bs6/bWxscHMzAx4cfv1y7mbmprq3BKdnp7ON998Q0hIiE5fBg0axIIFC0hISCA9PZ0pU6bQu3dv3N3dMTEx4eDBg4SFhSnPfq5YsYL4+Hi6dOmCo6MjT58+ZfXq1SQkJPD5558DL4re6Oho+vbty9y5c2nVqhWpqal88cUXbN++nejo6Dyf1y3q9Xnr1i2ePn2qta506dLKbc4ZGRkkJyeTmZnJ3bt3iY2NZfr06dSuXZuxY8fm2m5gYCC7du2iVatWfPbZZzRp0gRLS0uOHz/O7Nmz0Wg01K5dm6VLl9KoUSNat27N9OnTledmx44dS4UKFXRu2b59+7bO92dnZ8eMGTPYv38/3t7ezJkzh+rVq3P16lU+/fRT0tPT+eKLL5T4IUOGsHTpUoYPH86gQYMwNTVl165drF+/Xu+PDjk1bNiQmjVrMmPGDJYuXVqQUyyEEEIIIYqJIo/0njp1Sms5d+4cSUlJtGrVipEjRxY5obS0NNasWZPraFTXrl1ZvXo16enpBW5z5MiR7Nq1i2PHjhUpp06dOnHkyBGMjY3p2bMnrq6u+Pv7k5KSwvTp0zlx4gSnT5/Wm7O1tTWtWrXKdYSxYsWKxMbGcufOHVq3bq1MkvT9999jZ2entTRp0qRI+WdLTEykTp06WsuHH37I6tWrsbCw0DupVqtWrTA3N2fNmjV62zQ2Nuazzz7TKcD0GTNmTK4TVHl5een0N+c7bh8+fKiTu74Zk7dv387du3f1zojt5uaGm5sbGo2GihUr4uDgwLRp0/D09OTtt99m8eLFTJs2jYkTJwJQv359Hj58yEcffYSHhwfNmjUjLi6OrVu30qxZM+DF6HBUVBQTJkxg4cKFuLi48O677/Lbb78RGxub7zPjULTr08XFRed8nThxQtmekJCAnZ0db731Fs2bNycqKorg4GAOHz6c5yRhpqam7N27l6CgIFasWEGDBg2oV68eS5YsYfjw4coPCdWqVeP48eNUrVqV7t274+joyAcffECLFi04evSozg8k69at0/n+vv76a0qXLk1cXBwtWrTgww8/xNHRUWnv559/pmrVqkobVatW5dChQ1y8eBEvLy88PT2JiooiOjpa6zVSeZ3nlStXcuPGjQKfZyGEEEII8d+nynrNs8icPXuWDh065DlDrBBC/JulpqZibW3Ne6u+wrhEiTedjhDiP2hnt15vOgUhhCjWsv+9lpKSku98LK80kZU+KSkpeiebEUIIIYQQQggh/mlFfqZ3yZIlWp+zsrJISkrim2++oU2bNq+cmBBCCCGEEEII8aqKXPQuXLhQ67OBgQFly5alb9++BAcHv3JiQgghhBBCCCHEq3rtz/QKIcR/XWGeERFCCCGEEP+8N/pMrxBCCCGEEEII8W9RqNub33///QLHbt68udDJCCGEEEIIIYQQr1OhRnqtra2VxcrKiv3793P8+HFl+4kTJ9i/fz/W1tavPVEhhBBCCCGEEKKwCjXSGx4ervz3uHHj6N69O8uXL8fQ0BCA58+f8/HHH8szcEKIYsFv63fynl4hRKFs79bhTacghBDiJUV+pjcsLIwxY8YoBS+AoaEho0aNIiws7LUkJ4QQQgghhBBCvIoiF70ZGRlcvHhRZ/3FixfJzMx8paSEEEIIIYQQQojXocjv6e3fvz8DBw7kl19+oX79+gD89NNPzJo1i/79+7+2BIUQQgghhBBCiKIqctE7b948bG1tmT9/PklJSQDY2dkxduxYRo8e/doSFEIIIYQQQgghiqrItzcbGBgQFBTEH3/8wf3797l//z5//PEHQUFBWs/5CpFTv379UKlUylK6dGl8fHw4c+aMVlzOGCsrK+rVq8e2bdt02nvy5AlTpkzB2dkZU1NTypQpg6+vLwkJCTqxqampTJw4EVdXV8zMzLC1tcXLy4vNmzeTlZWlFbt+/XoMDQ0ZOnSoTjuxsbFKbgYGBlhbW1OnTh2CgoKUH4CyTZ06Vasv2Yurq2uu5ygiIkKrfTs7O/z8/Lh+/bpWXPPmzQkMDNT6rFKp2LBhg1bcokWLcHBw0FqXlpbG3Llzefvtt7GwsMDa2ppatWrx6aefcvPmzVxzy9l3lUpF+fLl6dq1K7/++qsSo1Kp2Lp1q86+/fr1o3Pnzjr5qlQqzMzMcHZ2ZubMmTrfxZYtW2jQoAHW1tZYWlri4eGh1e+c5yvnYmZmlms/hBBCCCHE/44iF73Zbt++zZkzZzhz5gx37tx5HTmJYs7Hx4ekpCSSkpLYv38/RkZGtG/fXicuPDycpKQkjh8/TuPGjenWrRtnz55Vtj979gwvLy/CwsKYPn06iYmJfPvtt2RkZODp6UlcXJwSe//+fRo1asTq1asJDg7m5MmTHDp0CD8/P4KCgkhJSdE6tkajISgoiPXr1/P06VO9/bh06RI3b97k559/Zty4cezbt4/q1atr5Qjg4eGh9Dd7+eGHH/I8R1ZWViQlJfHHH3+wadMmLl26hK+vb77n1szMjE8//ZT09PRcY549e4a3tzczZsygX79+HDp0iLNnz7JkyRLu3LnD559/nu9xsvseHR1NQkICHTp04Pnz5/nu97LBgweTlJTEpUuXCA4OZvLkySxfvlzZvn//fvz8/OjatSvHjh3jxIkThIaG6vQv+3zlXH777bdC5yOEEEIIIYqfIt/e/OjRI4YNG8bq1auViasMDQ3p06cPn3/+OSXkNR8iF6amptja2gJga2vL+PHjeffdd7l9+zZly5ZV4mxsbLC1tcXW1pbPPvuMxYsXExMTQ40aNYAXI5hHjx7l1KlT1KpVC4DKlSuzadMmPD09GThwIOfOnUOlUjFhwgSuXbtGYmIi9vb2yjGcnZ3x9/fXGhW8evUqR44cYdOmTcTExLB582Z69uyp049y5copOTo7O9OpUyfq1KnDkCFDtIpaIyMjpb8FpVKplH3s7OwYOHAgw4cPJzU1Nc9Xgvn7+7N9+3a+/vprPv74Y70xCxcu5IcffuD48ePUqVNHWf/WW2/RrFkznZFWfbL7bmdnx+TJk+nVqxdXrlzBxcWlUP0sUaKE0s/+/fuzdOlS9u7dy5AhQwDYsWMHjRs3ZuzYsco+zs7OWiPGoH2+hBBCCCGEyKnII72jRo3i4MGD7NixQ7m9edu2bRw8eFCe6RUF9vDhQ9asWYOTkxOlS5fWG5ORkYFGowHAxMREWb9u3Tq8vb2VgjebgYEBI0eO5Pz585w+fZrMzEw2bNhAr169tArebGq1GiOj//v9Jzw8nHbt2mFtbU1AQIBy7PyYm5vz0Ucf8eOPP3Lr1q0C7VMQt27dYsuWLRgaGub76ICVlRUTJ04kJCSER48e6Y1Zv3493t7eWgVvTiqVqlD5mZubAy9umS6qrKwsDh8+zMWLF7W+Y1tbWxISEjh37lyR2y6IZ8+ekZqaqrUIIYQQQojiochF76ZNm9BoNLRp0wYrKyusrKxo27YtX3/9NRs3bnydOYpiZufOnajVatRqNZaWlmzfvp3IyEgMDLQvR39/f9RqNaampowcORIHBwe6d++ubE9MTMTNzU3vMbLXJyYmcufOHf766688n6PNlpmZSUREBAEBAQD06NGDH374gatXrxaob9nHuHbtmrLu7NmzSn+zl48++ijPdlJSUlCr1VhYWFC+fHliYmIYOnQoFhYW+ebw8ccfY2ZmxoIFC/RuT0xM1BmR7dKli5Jbo0aN8j1GtqSkJObNm0eFChUKPcoLsGzZMuU7btq0KZmZmQwfPlzZPmzYMOrVq0eNGjVwcHCgR48ehIWF8ezZM612ss9XzqVNmzYFzmPmzJlYW1srS6VKlQrdFyGEEEII8e9U5KL38ePHlC9fXmd9uXLlePz48SslJYq3Fi1aEB8fT3x8PMeOHaN169a0adNG5xnMhQsXEh8fz3fffYe7uzsrV66kVKlSWjEFuRW3IDHZ9u7dy6NHj2jbti0AZcqUwdvbm7CwsALtn32snKOlLi4uSn+zl5CQkDzbsbS0JD4+nuPHjzN//nzefvttQkNDC5SDqakpISEhzJs3r8DP2S9btoz4+HgGDBhQoL/fihUrYmFhgb29PY8ePWLTpk1aI7QF1atXL+Lj4/nxxx9p06YNEydO1Cq6LSws2LVrF1euXOHTTz9FrVYzevRo6tevr5Vn9vnKuaxcubLAeQQHB5OSkqIsN27cKHRfhBBCCCHEv1ORn+lt2LAhU6ZMYfXq1crzkE+ePGHatGk0bNjwtSUoih8LCwucnJyUzytXrsTa2pqvv/6a6dOnK+ttbW1xcnLCycmJ8PBw2rZty/nz5ylXrhzw4tnOCxcu6D1G9npnZ2fKli2LjY0NFy9ezDc3jUbDvXv3lFt24cXo75kzZ5g2bZrOaHRux805W7KJiYlWfwvCwMBA2cfNzY1ffvmFIUOG8M033xRo/4CAAObNm8f06dN1Zm6uVq0aly5d0lpnZ2cHoPOjQm4OHz6MlZUV5cqVw9LSUmubpaWlzsRg8GIyMWtra6111tbWSj+joqJwcnKiQYMGeHl5acU5Ojri6OjIoEGDmDhxIs7OzkRGRirvBM95vorC1NQUU1PTIu8vhBBCCCH+vYo80rto0SJ+/PFHKlasSKtWrWjVqhWVKlXiyJEjLF68+HXmKIq57FfzPHnyJNeY+vXr884772iNdvbo0YN9+/Zx+vRprdjMzEwWLlyIu7s7tWrVwsDAgB49erB27Vq9r+N5+PAhGRkZ3L17l23btrFhwwatEcNTp07x119/sWfPnjz78eTJE7766iuaNm2qNSHX6zB+/HgiIyM5efJkgeINDAyYOXMmX375pdat1vDitvG9e/dy6tSpIudTpUoVHB0ddQpeeDGyfeLECa11z58/5/Tp0zg7O+faplqtZsSIEYwZMybP0XkHBwdKlCiR6zPLQgghhBBC5FTkkd4aNWpw+fJl1q5dq4yg+fv706tXL61RMiFe9uzZM5KTkwH466+/WLp0KQ8fPqRDhw557hcYGEiXLl0ICgqiQoUKjBw5km3bttGhQwfmz5+Pp6cnf/75JzNmzODChQvs27dPuc04NDSU2NhYPD09CQ0NpW7duhgbG3P48GFmzpzJzz//zDfffEPp0qXp3r27zmRObdu2RaPR4OPjo6y7desWT58+5cGDB5w4cYI5c+Zw584dNm/erLVvRkaG0t9s2e+4LahKlSrRpUsXJk+ezM6dOwu0T7t27fD09GTFihVaxxo5ciS7du2iVatWTJkyhXfffZeSJUuSmJjId99998rv2R41ahQDBw7E1dUVb29vHj16xOeff85ff/3FoEGD8tz3ww8/5LPPPmPTpk1069aNqVOn8vjxY9q2bUvlypW5f/8+S5YsIT09HW9vb2W/rKwsnXMMLx63yG90XgghhBBCFG9FKnrT09NxdXVl586dDB48+HXnJIq577//Xrmd1tLSEldXV6Kjo2nevHme+/n4+FClShVCQ0NZtmwZZmZmHDhwgBkzZjBhwgR+++03LC0tadGiBXFxcVSvXl3Zt1SpUsTFxTFr1iymT5/Ob7/9RsmSJalRowZz587F2tqasLAwunTponf24q5du9K7d2+tZ2RdXFxQqVSo1WqqVq3Ke++9x6hRo3RenZOQkKD0N5upqWmu7//NzciRI2nYsCHHjh2jfv36Bdpn9uzZOhNTmZmZsX//fhYtWkR4eDjBwcFkZmZSpUoV2rRpw8iRIwuV18v8/f3JyspiwYIFjB8/nhIlSvDOO+9w6NChfAv9UqVK0adPH6ZOncr7779Ps2bN+OKLL+jTpw9//vknJUuWpE6dOuzZs0dr4qzU1FSdcwwvJtqSVxkJIYQQQvxvU2UVZpafHCpUqMC+fftynT1XCCH+q1JTU7G2tsZn1QaM5Z3jQohC2N4t77uWhBBCvB7Z/15LSUnBysoqz9gi3/c3dOhQZs+eTUZGRlGbEEIIIYQQQggh/lZFfqb3559/Zv/+/ezZs4caNWrovD/05ecahRBCCCGEEEKIf1qRi14bGxu6du36OnMRQgghhBBCCCFeq0IXvZmZmcydO5fExETS0tJo2bIlU6dOlRmbhRDFTmTnNvk+IyKEEEIIIf7dCv1Mb2hoKBMmTECtVlOhQgWWLFnC0KFD/47chBBCCCGEEEKIV1Loonf16tUsW7aM3bt3s3XrVnbs2MHatWvJzMz8O/ITQgghhBBCCCGKrNBF7/Xr12nbtq3y2cvLC5VKxc2bN19rYkIIIYQQQgghxKsq9DO9GRkZmJmZaa0zNjYmPT39tSUlhBD/Bj23HcW4hEX+gUKI/6wtXZu86RSEEEL8zQpd9GZlZdGvXz9MTU2VdU+fPuWjjz7Sem2RvLJICCGEEEIIIcSbVuiit2/fvjrrAgICXksyQgghhBBCCCHE61Toojc8PPzvyEMIIYQQQgghhHjtCj2RlRBCCCGEEEII8V8hRa8QQgghhBBCiGJLit437Pbt2wwZMoS33noLU1NTbG1tad26NT/++KMS4+DggEqlYsOGDTr7e3h4oFKpiIiI0Nk2c+ZMDA0NmTt3rs62iIgIbGxscs2rX79+dO7cuVB9SU1NZeLEibi6umJmZoatrS1eXl5s3ryZrKwsAJo3b05gYGC++ej7rFKp8PHx0drv/v37qFQqYmNjlXUqlUrvkvP8ff3119SqVQu1Wo2NjQ116tRh5syZyvapU6fqbcPV1TXX/j9//pxZs2bh6uqKubk5pUqVwtPTk5UrV+aZV/bSokULjI2N+eGHH7TaffToEVWrVmXMmDF5nsPC9P9lp0+fpmPHjpQrVw4zMzMcHBzw8/Pj1q1bWnGbNm2iefPmWFtbo1arqVmzJiEhIdy7dw/Q/d7yOydQsL8BgCNHjtC2bVtKliyJmZkZNWrUYMGCBTx//jzX/ltZWVGvXj22bduWa9+FEEIIIUTxVuhnesXr1bVrV9LS0li1ahVVq1blzz//ZP/+/dy9e1crrlKlSoSHh9OjRw9lXVxcHMnJyVqzZucUFhZGUFAQYWFhjB079m/tx/3792nSpAkpKSlMnz6devXqYWRkxMGDBwkKCqJly5Z5FtkFYWRkxL59+4iJiaFFixZ5xoaHh+sUyNnHDwsLIzAwkCVLltCsWTOePXvGmTNnOHfunFa8h4cH+/bt08khN9OmTWPFihUsXbqUunXrkpqayvHjx/nrr78ASEpKUmIjIyOZPHkyly5dUtap1WomT55Mv379OH36tPK9BgUFYW5uzvTp0/Psc0H7/7Lbt2/TqlUr2rdvz+7du7GxseHatWts376dR48eKXETJ05k9uzZjBw5khkzZmBvb8/ly5dZvnw533zzDSNGjCj0OYGC/Q1s2bKF7t27079/f2JiYrCxsWHfvn0EBQVx9OhRoqKiUKlUOv1PTU1l2bJldOvWjZMnT1KjRo0Cn0MhhBBCCFE8SNH7Bt2/f5/Dhw8TGxtLs2bNAKhcuTL169fXie3VqxcLFy7kxo0bVKpUCXhRvPXq1YvVq1frxB88eJAnT54QEhLC6tWrOXLkCI0aNfrb+jJhwgSuXbtGYmIi9vb2ynpnZ2f8/f113u1cFBYWFnTv3p3x48fz008/5RlrY2ODra2t3m3bt2+ne/fuDBw4UFnn4eGhE2dkZJRrG7m1+/HHH+Pr66usq1WrlvLfOduytrZGpVLptD9jxgy+//57xo0bx9KlS4mJiWHlypUcOXKkUOcwr/6/7McffyQlJYWVK1cqRX2VKlW0flg4duwYM2bMYNGiRVrFrYODA97e3ty/f19v2/mdk4L8DTx69IjBgwfTsWNHvvrqK2X9oEGDKF++PB07diQqKgo/Pz+d/tva2vLZZ5+xePFiYmJici16nz17xrNnz5TPqampeZ4zIYQQQgjx3yG3N79BarUatVrN1q1btf7BrU/58uVp3bo1q1atAuDx48dERkYyYMAAvfEajQZ/f3+MjY3x9/dHo9G89vyzZWZmsmHDBnr16qVV8GZTq9V5jpAWxtSpUzl79iwbN24schu2trbExcXx22+/vZaccrZ74MABbt++XeQ2zMzMWL16NV999RXbtm1jwIABTJgwgXfeeec1ZqrN1taWjIwMtmzZotyG/rK1a9eiVqv5+OOP9W7PbRQ5v3NSkL+BPXv2cPfuXeX27pw6dOiAs7Mz69ev17tvRkaGcu2bmJjojYEXjwJYW1srS/YPS0IIIYQQ4r9Pit43yMjIiIiICFatWoWNjQ2NGzdmwoQJnDlzRm/8gAEDiIiIICsri40bN+Lo6Ejt2rV14lJTU9m4caPy/uSAgACioqJ4+PDh39KPO3fu8Ndff+X5vGtOy5YtU4qd7OWjjz4q0L729vaMGDGCiRMnkpGRkWucv7+/zjGuX78OwJQpU7CxscHBwQEXFxf69etHVFQUmZmZWm2cPXu2UHkuWLCA27dvY2trS82aNfnoo4/47rvvCtSvnOrWrUtwcDDvv/8+pUuXZuLEiYVuI6/+v6xBgwZMmDCBnj17UqZMGdq0acPcuXP5888/lZjLly9TtWpVjI2NC5VHfuekIH8DiYmJALi5uek9hqurqxLzcv9NTU0ZOXIkDg4OdO/ePdc8g4ODSUlJUZYbN24Uqp9CCCGEEOLfS4reN6xr167cvHmT7du34+PjQ2xsLG+//bbeianatWvHw4cPOXToEGFhYbmO8q5fvx5HR0flNtLatWtTuXJlIiMj/5Y+5DY6mJtevXoRHx+vtYSEhBR4/3HjxnH79m3CwsJyjVm4cKHOMbJHoe3s7Dh69Chnz55lxIgRZGRk0LdvX3x8fLQKXxcXl0Ll6e7uzrlz54iLi2PAgAHcunWLDh06MGjQoAL3LdukSZPIzMxk/PjxRRolz6v/+oSGhpKcnMzy5cvx8PBg+fLluLq6cvbsWaDw33G2gpyTgv4NFCaH7P5/9913uLu7s3LlSkqVKpVrvKmpKVZWVlqLEEIIIYQoHqTo/RcwMzPD29ubSZMmceTIEfr168eUKVN04oyMjOjduzdTpkzhp59+olevXnrb02g0JCQkYGRkpCznz5/Ps0h8FWXLlsXGxoaLFy8WKN7a2honJyetpVy5cgU+no2NDcHBwUybNo3Hjx/rjbG1tdU5xsvFY/Xq1fn4449Zs2YNe/fuZe/evRw8eFDZbmJiUug8DQwMqFevHoGBgWzevJmIiAg0Gg1Xr14tcP/g/ybMKupt4QXp/8tKly6Nr68v8+bN48KFC9jb2zNv3jzgxbPZv/76K+np6YXOpSDnJK+/AWdnZwAuXLigt/0LFy4oMS/3/7333iM8PFzvTNRCCCGEEOJ/gxS9/0Lu7u5as+bmNGDAAA4ePEinTp0oWbKkzvazZ89y/PhxYmNjtUb5YmNjOXr0aIEL08IwMDCgR48erF27lps3b+psf/jwYZ63IhfFsGHDMDAwYPHixa+lPXd3d4Bcz/u/rd2/m4mJCY6OjkrePXv25OHDhyxbtkxvfG4TWelTkHOS82/gvffeo1SpUsyfP18nbvv27Vy+fBl/f/9c26pfvz7vvPMOoaGhBc5RCCGEEEIUHzJ78xt09+5dfH19GTBgADVr1sTS0pLjx48zZ84cOnXqpHcfNzc37ty5Q4kSJfRu12g01K9fn6ZNm+psq1evHhqNRnlv7/Pnz4mPj9eKMTU1VZ6dTElJ0dleunRpvZP8hIaGEhsbi6enJ6GhodStWxdjY2MOHz7MzJkz+fnnn1/5lUU5mZmZMW3aNIYOHap3+/3790lOTtZaZ2lpiYWFBUOGDMHe3p6WLVtSsWJFkpKSmD59OmXLlqVhw4ZKfEZGhk4bKpWK8uXL6z1mt27daNy4MY0aNcLW1parV68SHByMs7NzgZ93Lqjbt2/rfDd2dnZKbnn1/2U7d+5kw4YN9OjRA2dnZ7KystixYwfffvst4eHhAHh6ehIUFMTo0aP5448/6NKlC/b29ly5coXly5fTpEkTva8syu+cFORvwMLCghUrVtCjRw8++OADPvnkE6ysrNi/fz9jx46lW7dueT6vCxAYGEiXLl0ICgqiQoUKBT7PQgghhBDiv0+K3jdIrVbj6enJwoUL+eWXX0hPT6dSpUoMHjyYCRMm5Lpf6dKl9a5PS0tjzZo1jBs3Tu/2rl27Mn/+fGbMmAG8GIGtU6eOVoyjoyNXrlwBIDY2Vmf7wIEDWblypU7bpUqVIi4ujlmzZjF9+nR+++03SpYsSY0aNZg7dy7W1ta5n4gi6tu3L/Pnz+f8+fM62/r376+zbubMmYwfPx4vLy/CwsL48ssvuXv3LmXKlKFhw4bs379f69wmJCRgZ2en1YapqSlPnz7Vm0/r1q1Zv349M2fOJCUlBVtbW1q2bMnUqVNf2+zV2datW8e6deu01n322Wd8+umnQN79f5m7uzslSpRg9OjR3LhxA1NTU6pVq8bKlSvp3bu3Ejd79mzeeecdvvjiC5YvX05mZiaOjo5069aNvn376s0zv3NS0L+Bbt26ERMTQ2hoKO+++y5Pnz6lWrVqTJw4kcDAQK139Orj4+NDlSpVCA0NzXW0WgghhBBCFE+qrKLOUCOEEMVUamoq1tbWtFv9PcYldEfHhRDFx5auTd50CkIIIYog+99rKSkp+U5CKs/0CiGEEEIIIYQotqToFUIIIYQQQghRbMkzvUIIkYt1nRrKO3uFEEIIIf7jZKRXCCGEEEIIIUSxJUWvEEIIIYQQQohiS4peIYQQQgghhBDFljzTK4QQuei3/ReMS1i+6TSEEPmIfN/pTacghBDiX0xGeoUQQgghhBBCFFtS9AohhBBCCCGEKLak6BVCCCGEEEIIUWxJ0SuEEEIIIYQQotiSolcIIYQQQgghRLFVrIrefv36oVKpUKlUmJiY4OTkREhICBkZGVpxrVu3xtDQkJ9//llvO6dOncLX15fy5ctjZmZGtWrVGDx4MImJiQBcu3YNlUpFfHy8ss+DBw9o0aIF7u7u/P7777nmmJCQQPfu3SlbtiympqY4OzszefJkHj9+rBXn4OCg9CV7qVixYp79v3//PkOHDsXOzk5p+9tvv9WK+eKLL3BwcMDMzAxPT0+OHTuWZ5tTp05Vjm9kZISDgwMjR47k4cOHes9F9udy5crx4MEDrbZq167N1KlTlc/NmzcnMDBQK2bx4sWYmpqyYcMGvflEREQo+RgYGFCxYkX69+/PrVu3tOJmzpyJoaEhc+fO1duGjY2N8vn58+fMmjULV1dXzM3NKVWqFJ6enqxcuVKJ6devH507d871POn7vlQqFbNmzeLgwYMYGxvzww8/aO3z6NEjqlatypgxY3JtNy0tjTlz5lCrVi1KlChBmTJlaNy4MeHh4aSnp2vFHj16FENDQ9q1a6fTTkGu2ewYfUtcXFyuOQLExMTQtm1bSpcuTYkSJXB3d2f06NH88ccfOrGurq6YmpqSnJyss+3q1av07NkTe3t7zMzMqFixIp06deLixYtKTG455rxmvv76a2rVqoVarcbGxoY6deowc+bMPPsghBBCCCGKp2JV9AL4+PiQlJTE5cuXGT16NFOnTtUqfK5fv86RI0f45JNPCAsL09l/586dNGjQgGfPnrF27VouXLjAmjVrsLa2ZtKkSXqPefv2bVq0aMGjR484fPhwrsVpXFwcnp6epKWlsWvXLhITEwkNDSUiIgJvb2/S0tK04kNCQkhKSlKWU6dO5drvtLQ0vL29uXbtGhs3buTSpUt8/fXXVKhQQYmJjIxk1KhRTJkyhZMnT1KrVi1at26tUzC+zMPDg6SkJK5du8bs2bP56quvGD16dJ77PHjwgHnz5uUZ87IpU6YwYcIEtm3bRo8ePXKNs7KyIikpid9//52vv/6a7777jt69e2vFhIWFERQUpPc7ftm0adNYuHAhn332GefPnycmJoYPPviA+/fvFyr/l7+vpKQkhg0bRrNmzRg2bBj9+vXj0aNHSnxQUBDm5uZMnz5db3tpaWm0bt2aWbNm8cEHH3DkyBGOHTvG0KFD+fzzz0lISNCK12g0DBs2jEOHDnHz5s08c83rmt23b59OP955551c21qxYgVeXl7Y2tqyadMmzp8/z/Lly0lJSWH+/PlasT/88ANPnjyhW7durFq1Smtbeno63t7epKSksHnzZi5dukRkZCQ1atTQ+S7Cw8N1csz+USIsLIzAwECGDx9OfHw8P/74I0FBQcoPNUIIIYQQ4n9LsXtPr6mpKba2tgAMGTKELVu2sH37doKDg4EX/1hu3749Q4YMoUGDBixYsABzc3MAHj9+TP/+/Wnbti1btmxR2qxSpQqenp56i6AbN27g7e1NhQoV2LZtG2q1Wm9eWVlZDBw4EDc3NzZv3oyBwYvfGypXroyzszN16tRh4cKFjBs3TtnH0tJS6Ut+wsLCuHfvHkeOHMHY2Bh4MfqY04IFCxg8eDD9+/cHYPny5ezatYuwsDDGjx+fa9tGRkZKHn5+fuzfv5/t27ezYsWKXPcZNmwYCxYsYOjQoZQrVy7P3LOyshg+fDhr1qxh7969NGrUKM94lUql5GNvb8/w4cOZNGkST548wdzcnIMHD/LkyRNCQkJYvXo1R44cybPN7du38/HHH+Pr66usq1WrVp456JPX9zVjxgy+//57xo0bx9KlS4mJiWHlypUcOXIEMzMzvfssWrSIQ4cOcfz4cerUqaOsr1q1Kr6+vlo/kjx8+JDIyEiOHz9OcnIyERERTJgwQW+7+V2zpUuXLvB19/vvvzN8+HCGDx/OwoULlfUODg40bdpU529Go9HQs2dPmjVrxogRI7Su94SEBH755Rf2799P5cqVgRd/H40bN9Y5ro2NTa45bt++ne7duzNw4EBlnYeHR4H6I4QQQgghip9iN9L7MnNzc6U4yMrKIjw8nICAAFxdXXFycmLjxo1K7O7du7lz5w5BQUF628p5SyzApUuXaNy4Me7u7nz77be5FrwA8fHxnD9/nlGjRikFb7ZatWrh5eXF+vXri9jLF//Qb9iwIUOHDqV8+fJUr16dGTNm8Pz5c+DFqOGJEyfw8vJS9jEwMMDLy4ujR48W6lg5z2lu/P39ldvL85KRkUFAQAAbN27k4MGD+Ra8ueWTmZmp3Mau0Wjw9/fH2NgYf39/NBpNnvvb2tpy4MABbt++XehjF5SZmRmrV6/mq6++Ytu2bQwYMIAJEybkOYK6du1avLy8tArebMbGxlhYWCifo6KicHV1xcXFhYCAAMLCwsjKytLZrzDXbEFER0eTlpZWoL+ZBw8eEB0dTUBAgDKie/jwYWV72bJlMTAwYOPGjcp1WxS2trbExcXx22+/FXifZ8+ekZqaqrUIIYQQQojiodgWvVlZWezbt4/du3fTsmVL4MVtm48fP6Z169YABAQEaBVEly9fBl48c1gQffr0wcnJiejoaExNTfOMzX4e2M3NTe92Nzc3JSbbuHHjUKvVyrJkyZJc2//111+VYuHbb79l0qRJzJ8/X7l19s6dOzx//pzy5ctr7Ve+fHm9z1bm5sSJE6xbt045p7nJfp71q6++4pdffsk17uuvv2bjxo3ExMRQs2bNAueR7fLlyyxfvpy6detiaWlJamoqGzduJCAgAHjxHUdFReV5a+uCBQu4ffs2tra21KxZk48++ojvvvuu0Lm8/H2p1Wqtoq5u3boEBwfz/vvvU7p0aSZOnJhv3wp6LWo0GqXPPj4+pKSkcPDgQZ24glyzjRo10ulHXjlaWVlhZ2eXb44bNmygWrVqeHh4YGhoSI8ePbT+/ipUqMCSJUuYPHkyJUuWpGXLlnz22Wf8+uuvOm35+/vr5Hj9+nXgxW3yNjY2ODg44OLiQr9+/YiKiiIzMzPX3GbOnIm1tbWyVKpUKd/+CCGEEEKI/4ZiV/Tu3LkTtVqNmZkZbdq0wc/PT5k8KSwsDD8/P4yMXtzV7e/vz48//qgUZfpGxvLSsWNHDh8+zObNmwu8T2GOMXbsWOLj45WlT58+ucZmZmZSrlw5vvrqK9555x38/PyYOHEiy5cvL/DxcnP27FnUajXm5ubUr1+fhg0bsnTp0nz3a926NU2aNMn1WWiAJk2aoFarmTRpks6EY7lJSUlBrVZTokQJXFxcKF++PGvXrgVg/fr1ODo6Krcn165dm8qVKxMZGZlre+7u7pw7d464uDgGDBjArVu36NChA4MGDSpQPtle/r7i4+OpW7euVsykSZPIzMxk/PjxynWYm4JeK5cuXeLYsWP4+/sDL25H9/Pz0zvCXZBrNjIyUqcfeeWoUqkKlGdYWJhSmMOLHySio6O1JjwbOnQoycnJrF27loYNGxIdHY2Hhwd79+7VamvhwoU6Odrb2wNgZ2fH0aNHOXv2LCNGjCAjI4O+ffvi4+OTa+EbHBxMSkqKsty4caNAfRJCCCGEEP9+xe6Z3hYtWvDll19iYmKCvb29Uljcu3ePLVu2kJ6ezpdffqnEP3/+nLCwMEJDQ3F2dgbg4sWLNGzYMN9jTZw4kZo1a9KzZ0+ysrLo3r17rrHZbV+4cEHv7aoXLlxQYrKVKVMGJyen/DvNi3/oGxsbY2hoqKxzc3MjOTmZtLQ0ypQpg6GhIX/++afWfn/++We+z2+6uLiwfft2jIyMsLe3x8TEpEA5AcyaNYuGDRsyduxYvdtr1KjB/Pnz8fLyws/Pj8jIyHyLQUtLS06ePImBgQF2dnbKM9nwYsQzISFBq43MzEzCwsK0nvF8mYGBAfXq1aNevXoEBgayZs0aevfuzcSJE6lSpUqB+lqQ7ys7r/z6CC+umZyzFudGo9GQkZGhFH3wohg1NTVl6dKlWFtbK+sLcs1WqlSpwNeds7MzKSkpJCUl5Tnae/78eeLi4jh27JjWc7zPnz9nw4YNDB48WFlnaWlJhw4d6NChA9OnT6d169ZMnz4db29vJcbW1jbfHKtXr0716tX5+OOP+eijj3j33Xc5ePAgLVq00Ik1NTXN924NIYQQQgjx31TsRnotLCxwcnLirbfe0ios1q5dS8WKFTl9+rTW6ND8+fOJiIjg+fPnvPfee5QpU4Y5c+bobVvfRFaTJk1i6tSp9OrVK8/RxNq1a+Pq6srChQt1RptOnz7Nvn37lJG6omjcuDFXrlzRajsxMRE7OztMTEwwMTHhnXfeYf/+/cr2zMxM9u/fn2+Bn/36JwcHh0IVvAD169fn/fffz3OirNq1a7N//34OHTpE9+7ddV7F8zIDAwOcnJyoWrWqVsF79uxZjh8/TmxsrNZ3HBsby9GjRwtUQGZzd3cH0Jpt+Z/Ws2dP9u3bp3fW7vT0dB49ekRGRgarV69m/vz5Wn0+ffo09vb2ep8TL+g1WxDdunXDxMQk378ZjUZD06ZNdf7+Ro0alecz1yqVCldX11f+Hv4N36cQQgghhHgzit1Ib240Gg3dunWjevXqWusrVapEcHAw33//Pe3atWPlypX4+vrSsWNHhg8fjpOTE3fu3CEqKorr16/rfX/sxIkTMTQ0pFevXmRmZuotXlUqFRqNBm9vb7p27UpwcDC2trb89NNPjB49moYNG+q8s7YwhgwZwtKlSxkxYgTDhg3j8uXLzJgxg+HDhysxo0aNom/fvtStW5f69euzaNEiHj16pMzm/HcJDQ3Fw8Mjz9HNWrVqceDAAVq1akX37t2JiopSZqEuKI1GQ/369WnatKnOtnr16qHRaPS+t7dbt240btyYRo0aYWtry9WrVwkODsbZ2VnrmdqUlBSdW31Lly6tPP/54MEDneejS5QogZWVVaH6kS0wMJBdu3bRqlUrPvvsM5o0aYKlpSXHjx9n9uzZaDQarl27xl9//cXAgQO1RnQBunbtikaj4aOPPtJpO69r9u7duzr9sLGx0TvLdKVKlVi4cCGffPIJqamp9OnTBwcHB37//XdWr16NWq1m1qxZfPPNN4SEhOj8/Q0aNIgFCxaQkJBAeno6U6ZMoXfv3ri7u2NiYsLBgwcJCwvTGh2GF8X0yzlaWlpiYWHBkCFDsLe3p2XLllSsWJGkpCSmT59O2bJlC3QHhxBCCCGEKF6K3UivPidOnOD06dN07dpVZ5u1tTWtWrVSRps6deqkvPanZ8+euLq64u/vT0pKSq7vUwUYP348M2bMoHfv3qxbt05vTKNGjYiLi8PQ0JA2bdrg5OREcHAwffv2Ze/eva90e2WlSpXYvXs3P//8MzVr1mT48OGMGDFCa4TVz8+PefPmMXnyZGrXrk18fDzff/+9zuRWr5uzszMDBgzg6dOnecbVqFGDAwcOcOTIEZ1X8uQnLS2NNWvW6P2O4UUBuHr1ar2jyK1bt2bHjh106NABZ2dn+vbti6urK3v27NEq1GNjY6lTp47WMm3aNGX75MmTsbOz01pym9W4IExNTdm7dy9BQUGsWLGCBg0aUK9ePZYsWcLw4cOpXr06Go0GLy8vnYI3u8/Hjx/nzJkzetvP7Zr18vLS6cfWrVtzzfPjjz9mz549/PHHH3Tp0gVXV1cGDRqElZUVY8aMYfv27dy9e5cuXbro7Ovm5oabmxsajYaKFSvi4ODAtGnT8PT05O2332bx4sVMmzZNZ9Kv/v376+T4+eefK/nHxcXh6+uLs7MzXbt2xczMjP3791O6dOmCnHohhBBCCFGMqLIKO3uTEEIUc6mpqVhbW9Plm5MYl7B80+kIIfIR+X7B5iEQQghRfGT/ey0lJSXfOyv/J0Z6hRBCCCGEEEL8b5KiVwghhBBCCCFEsfU/M5GVEEIUVkRHxyJPRCaEEEIIIf4dZKRXCCGEEEIIIUSxJUWvEEIIIYQQQohiS4peIYQQQgghhBDFljzTK4QQufhqxy3MSzx502kIIf6/oV3+3vfKCyGEKJ5kpFcIIYQQQgghRLElRa8QQgghhBBCiGJLil4hhBBCCCGEEMWWFL1CCCGEEEIIIYotKXqFEEIIIYQQQhRbUvSKYqtfv3507twZgObNmxMYGKgTExERgY2NjfJ56tSpqFQqfHx8dGLnzp2LSqWiefPmOvHZi7W1Ne+++y4HDx7U2X/VqlXUq1ePEiVKYGlpSbNmzdi5c2e+/XBwcFDaNzQ0xN7enoEDB/LXX3/pjXd1dcXU1JTk5GS922NiYmjfvj1ly5bFzMwMR0dH/Pz8OHToUL65AMycORNDQ0Pmzp2rsy0iIkLJ1cDAgIoVK9K/f39u3bqlxLx8vho3bsyBAweU7Tm/t/zOR85l1qxZSsyWLVto0KAB1tbWWFpa4uHhoff7F0IIIYQQxZ8UvUK8xM7OjpiYGH7//Xet9WFhYbz11ls68R4eHiQlJZGUlMTRo0epVq0a7du3JyUlRYkZM2YMH374IX5+fpw5c4Zjx47RpEkTOnXqxNKlS/PNKSQkhKSkJK5fv87atWs5dOgQw4cP14n74YcfePLkCd26dWPVqlU625ctW0arVq0oXbo0kZGRXLp0iS1bttCoUSNGjhxZkNNDWFgYQUFBhIWF6d1uZWVFUlISv//+O19//TXfffcdvXv31ooJDw8nKSmJH3/8kTJlytC+fXt+/fXXAh0f/u985FyGDRsGwP79+/Hz86Nr164cO3aMEydOEBoaSnp6eoHbF0IIIYQQxYcUvUK8pFy5crz33ntaReORI0e4c+cO7dq104k3MjLC1tYWW1tb3N3dCQkJ4eHDhyQmJgIQFxfH/PnzmTt3LmPGjMHJyQk3NzdCQ0MJDAxk1KhR3LhxI8+cLC0tsbW1pUKFCrRo0YK+ffty8uRJnTiNRkPPnj3p3bu3TlF6/fp1AgMDCQwMZNWqVbRs2ZLKlStTs2ZNRowYwfHjx/M9NwcPHuTJkyeEhISQmprKkSNHdGJUKhW2trbY29vTpk0bhg8fzr59+3jy5P/ed2tjY4OtrS3Vq1fnyy+/5MmTJ+zduzff4798PnIuFhYWAOzYsYPGjRszduxYXFxccHZ2pnPnznzxxRcFbl8IIYQQQhQfUvQKoceAAQOIiIhQPoeFhdGrVy9MTEzy3O/Zs2eEh4djY2ODi4sLAOvXr0etVvPhhx/qxI8ePZr09HQ2bdpU4Nz++OMPduzYgaenp9b6Bw8eEB0dTUBAAN7e3qSkpHD48GFl+6ZNm0hPTycoKEhvuyqVKt9jazQa/P39MTY2xt/fH41Gk+8+5ubmZGZmkpGRket2gLS0tHzbKghbW1sSEhI4d+5cgfd59uwZqampWosQQgghhCgepOgVQo/27duTmprKoUOHePToEVFRUQwYMEBv7NmzZ1Gr1ajVaszNzZk3bx7r16/HysoKgMTERBwdHfUWzPb29lhZWSmjwrkZN26c0n7FihVRqVQsWLBAK2bDhg1Uq1YNDw8PDA0N6dGjh1ZRmpiYiJWVFba2tsq6TZs2Kbmr1WrOnj2baw6pqals3LiRgIAAAAICAoiKiuLhw4e57nP58mWWL19O3bp1sbS01Nn++PFjPv30UwwNDWnWrFme50Df+ci5ZBf4w4YNo169etSoUQMHBwd69OhBWFgYz549y7W9mTNnYm1trSyVKlUqcC5CCCGEEOLfTYpeIfQwNjYmICCA8PBwoqOjcXZ2pmbNmnpjXVxciI+PJz4+nhMnTjBkyBB8fX21bhfOysp6pXzGjh1LfHw8Z86cYf/+/QC0a9eO58+fKzFhYWFKQQovitLo6GgePHigrHt5NLd169bEx8eza9cuHj16pNXey9avX4+joyO1atUCoHbt2lSuXJnIyEituJSUFNRqNSVKlMDFxYXy5cuzdu1arRh/f3/UajWWlpZs2rQJjUaT6/nN63zkXOrWrQuAhYUFu3bt4sqVK3z66aeo1WpGjx5N/fr1efz4sd72goODSUlJUZb8bjcXQgghhBD/HUZvOgEh/glWVlZaE0tlu3//PtbW1nr3GTBgAJ6enpw7dy7XUV4AExMTnJyclM916tRh69atLFq0iDVr1uDs7MwPP/xAWlqazmjvzZs3SU1NxdnZOc/8y5QpoxyjWrVqLFq0iIYNGxITE4OXlxfnz58nLi6OY8eOMW7cOGW/58+fs2HDBgYPHky1atVISUkhOTlZGe1Vq9U4OTlhZJT//wo0Gg0JCQlasZmZmYSFhTFw4EBlnaWlJSdPnsTAwAA7Ozvl9uWcFi5ciJeXF9bW1pQtWzbfY+d1PnLj6OiIo6MjgwYNYuLEiTg7OxMZGUn//v11Yk1NTTE1NS10HkIIIYQQ4t9PRnrF/wQXFxe9Ez+dPHky14LTw8MDDw8Pzp07R8+ePQt1PENDQ2Xiph49evDw4UNWrFihEzdv3jyMjY3p2rVrodsHlGNoNBqaNm3K6dOntUY/R40apdzi3K1bN4yNjZk9e3ahjgUvbuE+fvw4sbGxWu3HxsZy9OhRLl68qMQaGBjg5ORE1apV9Ra88OK5WycnpyIVvEXh4OBAiRIlePTo0T9yPCGEEEII8e8hI73if8KQIUNYunQpw4cPZ9CgQZiamrJr1y7Wr1/Pjh07ct3vwIEDpKena73L92UZGRnKO3EfPHhAZGQk58+fV0ZcGzZsyIgRIxg7dixpaWl07tyZ9PR01qxZw+LFi1m0aFG+z5A+ePCA5ORksrKyuHHjBkFBQZQtW5ZGjRqRnp7ON998Q0hICNWrV9fab9CgQSxYsICEhAQ8PDyYP38+I0aM4N69e/Tr148qVapw79491qxZA/xfMf0yjUZD/fr1adq0qc62evXqodFo9L63t6hSUlKIj4/XWle6dGnlPGWfj5xKlCiBlZUVU6dO5fHjx7Rt25bKlStz//59lixZQnp6Ot7e3q8tRyGEEEII8d8gI72i2MrMzFRuxa1atSqHDh3i4sWLeHl54enpSVRUFNHR0fj4+OTahoWFRZ4FL0BCQgJ2dnbY2dlRu3ZtoqKi+PLLL+nTp48Ss2jRIpYtW8b69eupXr06devW5dChQ2zdulV5v2xeJk+ejJ2dHfb29rRv3x4LCwv27NlD6dKl2b59O3fv3qVLly46+7m5ueHm5qaM9g4bNow9e/Zw+/ZtunXrRrVq1Wjbti1Xr17l+++/p0aNGjptpKWlsWbNmlxHo7t27crq1atf63twY2NjqVOnjtYybdo0ZXv2+ci5ZM9K3axZM3799Vf69OmDq6srbdq0ITk5mT179igzagshhBBCiP8dqqxXnWFHiH8pHx8fnJycWLp06ZtORfzHpKamYm1tzdw1lzEvoTvrtBDizRjapfybTkEIIcS/RPa/11JSUpS3puRGRnpFsfPXX3+xc+dOYmNj8fLyetPpCCGEEEIIId4geaZXFDsDBgzg559/ZvTo0XTq1OlNpyOEEEIIIYR4g+T2ZiGEeElhbpcRQgghhBD/PLm9WQghhBBCCCGEQIpeIYQQQgghhBDFmBS9QgghhBBCCCGKLSl6hRBCCCGEEEIUWzJ7sxBC5GLvpruUKJH2ptMQQgBt/Mq86RSEEEL8R8lIrxBCCCGEEEKIYkuKXiGEEEIIIYQQxZYUvUIIIYQQQgghii0peoUQQgghhBBCFFtS9IpC6devH507dwagefPmBAYG6sRERERgY2OjfJ46dSoqlQofHx+d2Llz56JSqWjevLlOfPZibW3Nu+++y8GDB3X2X7VqFfXq1aNEiRJYWlrSrFkzdu7cmW8/HBwclPYNDQ2xt7dn4MCB/PXXX3rjXV1dMTU1JTk5We/2mJgY2rdvT9myZTEzM8PR0RE/Pz8OHTqUZx6nT5+mY8eOlCtXDjMzMxwcHPDz8+PWrVs650HfAi++k+zPxsbGVKlShaCgIJ4+fapzvN9//x0TExOqV6+utX78+PG4urpqrbt48SIqlYp+/fpprY+IiMDU1JQnT54AaOVjZGTEW2+9xahRo3j27JnWPvryNzMzU2IK2o+c+1tZWVGvXj22bdsGwDfffIOFhQVXrlzR2ufmzZuULFmSpUuX5vl9CCGEEEKI4keKXvGPsLOzIyYmht9//11rfVhYGG+99ZZOvIeHB0lJSSQlJXH06FGqVatG+/btSUlJUWLGjBnDhx9+iJ+fH2fOnOHYsWM0adKETp06Fai4CQkJISkpievXr7N27VoOHTrE8OHDdeJ++OEHnjx5Qrdu3Vi1apXO9mXLltGqVStKly5NZGQkly5dYsuWLTRq1IiRI0fmevzbt2/TqlUrSpUqxe7du7lw4QLh4eHY29vz6NEjxowZo5yDpKQkKlasqOScvWTz8fEhKSmJX3/9lYULF7JixQqmTJmic8yIiAi6d+9OamoqP/30k7K+RYsWXLp0Sauoj4mJoVKlSsTGxmq1ERMTQ4MGDTA3N1fWhYeHk5SUxNWrV1m2bBnffPMN06dP19rPyspKK/ekpCR+++03rZiC9iP7eMePH6dx48Z069aNs2fP0rt3b1q3bk2/fv3IzMxU4gcPHsw777zD0KFDc/0+hBBCCCFE8SRFr/hHlCtXjvfee0+raDxy5Ah37tyhXbt2OvFGRkbY2tpia2uLu7s7ISEhPHz4kMTERADi4uKYP38+c+fOZcyYMTg5OeHm5kZoaCiBgYGMGjWKGzdu5JmTpaUltra2VKhQgRYtWtC3b19OnjypE6fRaOjZsye9e/cmLCxMa9v169cJDAwkMDCQVatW0bJlSypXrkzNmjUZMWIEx48fz/X4P/74IykpKaxcuZI6depQpUoVWrRowcKFC6lSpQpqtVo5B7a2thgaGio5Zy/ZTE1NsbW1pVKlSnTu3BkvLy/27t2rdbysrCzCw8Pp3bs3PXv2RKPRKNuaNGmCsbGxVoEbGxvL0KFDuXfvHteuXdNa36JFC622bWxslOO3b9+eTp066ZxLlUqllbutrS3ly5fXiilIP3Iez9nZmc8++4yMjAxiYmIAWLFiBYmJiSxYsAB4Uej/+OOPhIeHK6PjQgghhBDif4cUveIfM2DAACIiIpTPYWFh9OrVCxMTkzz3e/bsGeHh4djY2ODi4gLA+vXrUavVfPjhhzrxo0ePJj09nU2bNhU4tz/++IMdO3bg6emptf7BgwdER0cTEBCAt7c3KSkpHD58WNm+adMm0tPTCQoK0ttuXkWWra0tGRkZbNmyhaysrALnmp9z585x5MgRnfMaExPD48eP8fLyIiAggA0bNvDo0SMALCwsqFevnlI4wovitlWrVjRu3FhZ/+uvv3L9+nWdojenxMREDhw4oHMuX1c/csrIyFCK9+y4smXL8tVXXzFp0iT27t3LyJEjWbx4MZUqVcq1nWfPnpGamqq1CCGEEEKI4kGKXvGPad++PampqRw6dIhHjx4RFRXFgAED9MaePXsWtVqNWq3G3NycefPmsX79eqysrIAXhZWjo6Pegsje3h4rKytlVDg348aNU9qvWLEiKpVKGR3MtmHDBqpVq4aHhweGhob06NFDa4Q0MTERKysrrVHXTZs2Kbmr1WrOnj2r9/gNGjRgwoQJ9OzZkzJlytCmTRvmzp3Ln3/+mWfe+uzcuRO1Wo2ZmRk1atTg1q1bjB07VitGo9HQo0cPDA0NqV69OlWrViU6OlrZ3qJFC2Wk9/z58zx9+pQ6derQtGlTZX1sbCxmZmY0aNBAq21/f3/l+C4uLnh4eBAcHKwVk5KSonVe1Go1bdq0KXQ/ch7P1NSUkSNH4uDgQPfu3ZXtnTt3pnv37vj4+NCsWTP69u2b5/mbOXMm1tbWypJXgSyEEEIIIf5bpOgV/xhjY2MCAgIIDw8nOjoaZ2dnatasqTfWxcWF+Ph44uPjOXHiBEOGDMHX11frduFXHR0dO3Ys8fHxnDlzhv379wPQrl07nj9/rsSEhYUREBCgfA4ICCA6OpoHDx4o614ezW3dujXx8fHs2rWLR48eabX3stDQUJKTk1m+fDkeHh4sX74cV1fXXAvl3LRo0YL4+Hh++ukn+vbtS//+/enatauy/f79+2zevFmnLzkL+ObNm5OYmEhSUhKxsbE0adIEQ0NDmjVrplX0NmrUCFNTU63jL1y4kPj4eE6fPs3OnTtJTEykd+/eWjGWlpbKd5q9rFy5slD9ePl43333He7u7qxcuZJSpUppxUyaNInMzEw+/fTTfM9fcHAwKSkpypLfrfFCCCGEEOK/w+hNJyD+u6ysrLQmlsp2//59rK2t9e4zYMAAPD09OXfuXK6jvPDiVlUnJyflc506ddi6dSuLFi1izZo1ODs788MPP5CWlqYz2nvz5k1SU1NxdnbOM/8yZcoox6hWrRqLFi2iYcOGxMTE4OXlxfnz54mLi+PYsWOMGzdO2e/58+ds2LCBwYMHU61aNVJSUkhOTlZGe9VqNU5OThgZFezPq3Tp0vj6+uLr68uMGTOoU6cO8+bN0ztpVm4sLCyUvoSFhVGrVi00Gg0DBw4EYN26dTx9+lTrluOsrCwyMzNJTEzE2dmZxo0bY2JiQkxMDDExMTRr1gyAevXqcefOHX799VdiY2P13lJua2urHN/FxYUHDx7g7+/P9OnTlfUGBgZa32lR+vHy8ZycnAgPD6dt27acP3+ecuXKKTHZ578g34OpqalOIS+EEEIIIYoHGekVRebi4qJ34qeTJ0/mWnB6eHjg4eHBuXPn6NmzZ6GOZ2hoqLwmp0ePHjx8+JAVK1boxM2bNw9jY2O9I4T5tQ8ox9BoNDRt2pTTp09rjU6OGjVKGSHt1q0bxsbGzJ49u1DHyo2JiQmOjo7Ks7ZFYWBgwIQJE/j000+1+jJ69Gitfpw+fZp3331XmZzL3NwcT09PYmNjOXjwoPIaKWNjYxo0aIBGo+HGjRt5Ps+b7eVz+br6oU/9+vV55513CA0NLfKxhBBCCCFE8SUjvaLIhgwZwtKlSxk+fDiDBg3C1NSUXbt2sX79enbs2JHrfgcOHCA9PV3rXb4vy8jIUF6f8+DBAyIjIzl//rwy4tqwYUNGjBjB2LFjSUtLo3PnzqSnp7NmzRoWL17MokWL8n0u88GDByQnJ5OVlcWNGzcICgqibNmyNGrUiPT0dL755htCQkJ03mk7aNAgFixYQEJCAh4eHsyfP58RI0Zw7949+vXrR5UqVbh37x5r1qwB/q8AfNnOnTvZsGEDPXr0wNnZmaysLHbs2MG3335LeHh4nrnnx9fXl7Fjx/LFF1/g5eXFyZMnWbt2rc67eP39/QkJCWH69OkYGRkps0cDvP3220pcs2bNmDdvnjLh1cvu379PcnIymZmZXL58mZCQEJydnXFzc1NisrKy9L7nuFy5chgY6P/9LWc/xowZk2t/AwMD6dKlC0FBQVSoUCHvkyOEEEIIIf6nyEivKJTMzEzldtGqVaty6NAhLl68iJeXF56enkRFRREdHY2Pj0+ubVhYWORZ8AIkJCRgZ2eHnZ0dtWvXJioqii+//JI+ffooMYsWLWLZsmWsX7+e6tWrU7duXQ4dOsTWrVsZNmxYvn2ZPHkydnZ22Nvb0759eywsLNizZw+lS5dm+/bt3L17ly5duujs5+bmhpubmzLaO2zYMPbs2cPt27fp1q0b1apVo23btly9epXvv/+eGjVq6D2+u7s7JUqUYPTo0dSuXZsGDRoQFRXFypUrdZ6HLSwjIyM++eQT5syZwxdffIG7u7tOwQvQpUsXbt26xbfffgu8eKb2wYMHNG7cWOu24GbNmvHgwQPl1UYv69+/P3Z2dlSsWBF/f388PDz47rvvtNpITU1VvtOcy61btwrUj7xGv318fKhSpYqM9gohhBBCCB2qrNf5rhRR7Pn4+ODk5MTSpUvfdCpC/G1SU1OxtrZmY9ivlChh+abTEUIAbfzKvOkUhBBC/Itk/3stJSVFecNLbmSkVxTIX3/9xc6dO4mNjcXLy+tNpyOEEEIIIYQQBSLP9IoCGTBgAD///DOjR4+mU6dObzodIYQQQgghhCgQub1ZCCFeUpjbZYQQQgghxD9Pbm8WQgghhBBCCCGQolcIIYQQQgghRDEmRa8QQgghhBBCiGJLil4hhBBCCCGEEMWWzN4shBC5OL3qNmrzp286DSH+59UZVO5NpyCEEOI/TEZ6hRBCCCGEEEIUW1L0CiGEEEIIIYQotqToFUIIIYQQQghRbEnRK4QQQgghhBCi2JKiVxTI7du3GTJkCG+99RampqbY2trSunVrfvzxRyXGwcEBlUrFhg0bdPb38PBApVIRERGhs23mzJkYGhoyd+5cnW0RERHY2Njkmle/fv3o3LlzgfsxdepUVCoVKpUKIyMjHBwcGDlyJA8fPtSKW7VqFfXq1aNEiRJYWlrSrFkzdu7cqRUTGxurtKVSqShfvjxdu3bl119/1Yo7deoUvr6+lC9fHjMzM6pVq8bgwYNJTEx85WOWLVuWtm3bcvbsWZ3zolKpmDVrltb6rVu3olKp8jxHDg4OLFq0SO+5q127tta6e/fuERgYSOXKlTExMcHe3p4BAwZw/fp1nXzy+p6yrx2VSoW5uTkODg50796dAwcOaMVdu3ZNq/85l7i4OODFNZO9zsDAADs7O/z8/HRyEkIIIYQQ/xuk6BUF0rVrV06dOsWqVatITExk+/btNG/enLt372rFVapUifDwcK11cXFxJCcnY2FhobftsLAwgoKCCAsL+9vyz8nDw4OkpCSuXbvG7Nmz+eqrrxg9erSyfcyYMXz44Yf4+flx5swZjh073AYo7AAAOP9JREFURpMmTejUqRNLly7Vae/SpUvcvHmT6OhoEhIS6NChA8+fPwdg586dNGjQgGfPnrF27VouXLjAmjVrsLa2ZtKkSa90zKSkJHbv3s2zZ89o164daWlpWjFmZmbMnj2bv/7663WdOi337t2jQYMG7Nu3j+XLl3PlyhU2bNjAlStXqFevnk7xn5+QkBCSkpK4dOkSq1evxsbGBi8vL0JDQ3Vi9+3bR1JSktbyzjvvKNutrKxISkrijz/+YNOmTVy6dAlfX99X7rMQQgghhPjvkVcWiXzdv3+fw4cPExsbS7NmzQCoXLky9evX14nt1asXCxcu5MaNG1SqVAl4UdT26tWL1atX68QfPHiQJ0+eEBISwurVqzly5AiNGjX6W/tjZGSEra0tAH5+fuzfv5/t27ezYsUK4uLimD9/PkuWLGHYsGHKPqGhoTx9+pRRo0bRqVMnpW8A5cqVw8bGBjs7OyZPnkyvXr24cuUKlSpVon///rRt25YtW7Yo8VWqVMHT05P79+8DvNIxbW1tCQwMpGPHjly8eJGaNWsqMV5eXly5coWZM2cyZ86c134eJ06cyM2bN7ly5YpyPt966y12795NtWrVGDp0KN99912B27O0tNRqp2nTpso57datGy4uLkps6dKllVh9VCqVst3Ozo6BAwcyfPhwUlNTsbKyKkp3hRBCCCHEf5SM9Ip8qdVq1Go1W7du5dmzZ3nGli9fntatW7Nq1SoAHj9+TGRkJAMGDNAbr9Fo8Pf3x9jYGH9/fzQazWvPPz/m5ubKKOn69etRq9V8+OGHOnGjR48mPT2dTZs25dkWQFpaGrt37+bOnTsEBQXpjc2+bftVjpmSkqLcTm5iYqK1zdDQkBkzZvD555/z+++/55pzUWRmZrJhwwZ69eqlU3yam5vz8ccfs3v3bu7du/dKxxkxYgRZWVls27atyG3cunWLLVu2YGhoiKGhod6YZ8+ekZqaqrUIIYQQQojiQYpekS8jIyMiIiJYtWoVNjY2NG7cmAkTJnDmzBm98QMGDCAiIoKsrCw2btyIo6OjzrOgAKmpqWzcuJGAgAAAAgICiIqK0nm+9u904sQJ1q1bR8uWLQFITEzE0dFRp4AEsLe3x8rKSudZ3GxJSUnMmzePChUq4OLiwuXLlwFwdXXNM4eiHLNixYqo1WpsbGxYt24dHTt21HucLl26ULt2baZMmZJnDi8bN26c8mNH9jJjxgxl++3bt7l//z5ubm5693dzcyMrK4srV64U6rgvK1WqFOXKlePatWta6xs1aqSTX04pKSmo1WosLCwoX748MTExDB06NNdb7GfOnIm1tbWy5BxVF0IIIYQQ/21S9IoC6dq1Kzdv3mT79u34+PgQGxvL22+/rXdiqnbt2vHw4UMOHTpEWFhYrqO869evx9HRkVq1agFQu3ZtKleuTGRk5N/ZFc6ePYtarcbc3Jz69evTsGFDredms7KyCtVexYoVsbCwwN7enkePHrFp0yZMTEwK1U5hj3n48GFOnDhBREQEzs7OLF++PNfY2bNns2rVKi5cuFDg9seOHUt8fLzW8tFHH71y3kWRlZWlM/lWZGSkTn45WVpaEh8fz/Hjx5k/fz5vv/223meDswUHB5OSkqIsN27c+Du6IoQQQggh3gB5plcUmJmZGd7e3nh7ezNp0iQGDRrElClT6Nevn1ackZERvXv3ZsqUKfz0009az7PmpNFoSEhIwMjo/y7DzMxMwsLCGDhw4N/WDxcXF7Zv346RkRH29vZaI6zOzs788MMPpKWl6Yy83rx5k9TUVJydnbXWHz58GCsrK8qVK4elpaVWWwAXL16kYcOGueZTlGNWqVIFGxsbXFxcuHXrFn5+fhw6dEhv+02bNqV169YEBwfrfFe5KVOmDE5OTlrrSpUqpfx32bJlsbGxybWQvnDhAiqVSqeNwrp79y63b9+mSpUqWusrVaqUZ9sGBgbKdjc3N3755ReGDBnCN998ozfe1NQUU1PTV8pVCCGEEEL8O8lIrygyd3d3Hj16pHfbgAEDOHjwIJ06daJkyZI628+ePcvx48eJjY3VGq2LjY3l6NGjXLx48W/L28TEBCcnJxwcHHSKzB49evDw4UNWrFihs9+8efMwNjama9euWuurVKmCo6OjVsEL8N5771GmTJlcJ5HKnsiqKMfMaejQoZw7dy7XHxcAZs2axY4dOzh69GiuMYVhYGBA9+7dWbduHcnJyVrbnjx5wrJly2jdurVWoVwUixcvxsDAoFCvpdJn/PjxREZGcvLkyVdqRwghhBBC/PfISK/I1927d/H19WXAgAHUrFkTS0tLjh8/zpw5c+jUqZPefdzc3Lhz5w4lSpTQu12j0VC/fn2aNm2qs61evXpoNBrlvb3Pnz/XuX3V1NRUeZ40JSVFZ3vp0qWL9Fxmw4YNGTFiBGPHjiUtLY3OnTuTnp7OmjVrWLx4MYsWLSpwuxYWFqxcuRJfX186duzI8OHDcXJy4s6dO0RFRXH9+nU2bNjwyscsUaIEgwcPZsqUKXTu3Fnve3hr1KhBr169WLJkSaHPSW5mzJjB/v378fb2Zs6cOVSvXp2rV6/y6aefkp6ezhdffKEVn9/39ODBA5KTk0lPT+fq1ausWbOGlStXMnPmTJ1R3bt37+oU2zY2NpiZmenNtVKlSnTp0oXJkyfrvPtYCCGEEEIUbzLSK/KlVqvx9PRk4cKFNG3alOrVqzNp0iQGDx6s9x2y2UqXLq3MZpxTWloaa9asyXX0smvXrqxevZr09HQAHj58SJ06dbSWDh06KPGxsbE626dNm1bk/i5atIhly5axfv16qlevTt26dTl06BBbt27VeqVQQXTq1IkjR45gbGxMz549cXV1xd/fn5SUFKZPn/7ajvnJJ59w4cIFoqOjc40JCQkhMzOzUPnnpXTp0sTFxdGiRQs+/PBDHB0d6d69O46Ojvz8889UrVpVKz6/72ny5MnY2dnh5ORE7969SUlJYf/+/YwbN07n2F5eXtjZ2WktW7duzTPfkSNHsmvXLo4dO/Za+i+EEEIIIf4bVFn/xEw0QgjxH5Kamoq1tTWHllxBbW6Z/w5CiL9VnUHl3nQKQggh/mWy/72WkpKClZVVnrEy0iuEEEIIIYQQotiSolcIIYQQQgghRLElE1kJIUQuavUtm+/tMkIIIYQQ/6+9Ow+rqmr7B/49DOcAHjgoogeUQWV0QFEL0UpNDM2xN40QS0J9ErEkB9Qsp7fUyrEUrR4GSwOk0oesnFDEESdQUUJMTd6C0JBJSRDW7w8f9s/NAQXE0OP3c137umKte69978VJuFl7oEcbV3qJiIiIiIhIb7HoJSIiIiIiIr3FopeIiIiIiIj0FoteIiIiIiIi0lt8kBURUS1yV/2BGybFTZ0G0RPLJqxNU6dARER6gCu9REREREREpLdY9BIREREREZHeYtFLREREREREeotFLxEREREREektFr16JDAwECNHjqyxr1+/fggNDdVpj46OhqWlpfT1ggULoFAoMGnSJFlcWloaFAoFLl++LGv/7rvv0K9fP2g0GqjVanh4eGDRokXIz8+vcfy7KRQKbN269Z7no1AopM3KygqDBg3C6dOna4x/8803YWhoiPj4+Br7L1y4gKCgINjb20OlUqFNmzYYMGAANm3ahNu3b9cpD2NjY7Rr1w5hYWH4+++/dc6npi02NhYAkJSUJLUZGBhAo9HA09MTYWFhyMnJqfX4AHD58mXZmC1atEDfvn2xf/9+WVzV96/65ubmpjNGTVt0dLQsT4VCAWtra7z44os4c+aMTl7Z2dkICgqCra0tlEolHBwcMHXqVPz111+yuEuXLmHMmDGwtbWFiYkJ2rZtixEjRuCXX36pcf40Gg369OmDPXv21Ot4dT1HIiIiInpysOglHSYmJoiIiEBWVtY94+bOnQs/Pz889dRT+Pnnn5Geno7ly5fj1KlT+Prrrxsll0GDBiEnJwc5OTlITEyEkZERhg4dqhN38+ZNxMbGIiwsDJGRkTr9R48eRffu3ZGRkYG1a9ciPT0dSUlJmDBhAtatW4ezZ8/WKY+LFy9i5cqV+PzzzzF//nyduKioKCnfqq36HyIyMzPxxx9/4NixY5g1axZ2796Nzp0711hUVrd7927k5OQgOTkZtra2GDp0KP78809ZTKdOnXRyOHDgAOzs7GRt06dP14n18/OT5ZmTk4MdO3bg1q1bGDJkCMrKyqT+ixcvomfPnsjKykJMTAwuXLiA9evXIzExEd7e3tIfPsrLyzFw4EAUFhbi+++/R2ZmJuLi4tClSxcUFBTUOH8HDx5Ey5YtMXToUFy8eLHOx6vvORIRERGR/uMri0iHq6srWrVqhblz52Lz5s01xhw9ehSLFy/GqlWrMHXqVKnd0dERAwcO1ClmGkqlUkGr1QIAtFotZs+ejWeffRZXr16FtbW1FBcfH4+OHTti9uzZsLW1RXZ2Nuzs7AAAQggEBgbCxcUFBw8ehIHB//9bj7OzM/z9/SGEqHMednZ28PHxwa5du/DRRx/J4iwtLaW42rRq1UqKc3FxwYgRI+Dp6Yng4GAcOHDgnvtaWVlBq9VCq9Xi3XffRWxsLFJSUjB8+HApxsjIqNYc7m5Xq9X3jL07z9DQUAwfPhy//PILPDw8AAAhISFQKpXYuXMnTE1NAQD29vbw9PREhw4dMHfuXOkPCr/++isSExPh4OAAAHBwcECfPn10jll1PK1Wi3Xr1qFNmzbYtWsX3nzzzTofrz7nSERERET6jyu9VKOlS5fiu+++w/Hjx2vs37RpE9RqNSZPnlxjf22XND+IkpISbNy4EU5OTrCyspL1RUREYOzYsdBoNBg8eLDsEta0tDRkZGRgxowZsoL3bgqFos55pKen49ChQ1AqlQ06j+pMTU0xadIkHDx4EHl5eXXap7S0FF999RUANFoetSksLJQu0a46Vn5+Pnbs2IHJkydLBWgVrVaLgIAAxMXFQQgBa2trGBgY4Ntvv0VFRUWdj1s1bllZWb2O1xC3bt1CUVGRbCMiIiIi/cCil2rUvXt3vPLKK5g1a1aN/VlZWWjfvj2MjY3vO1ZhYSHUarXOVhfbtm2T4s3NzZGQkIC4uDhZ8ZqVlYUjR45Il62OHTsWUVFRUgF0/vx5AHdWsKvk5eXJcgkPD69THiYmJujSpQvy8vIwc+ZMnTh/f3+d87xy5cp9z9PNzQ0AdO6Zrq53795Qq9Vo1qwZli1bhh49emDAgAGymDNnzujkUP0e7bpo27Yt1Go1LC0t8c0332D48OFSnllZWRBCwN3dvcZ93d3dcf36dVy9ehVt2rTBp59+innz5qF58+Z4/vnn8b//+7/SZcs1uXnzJt577z0YGhqib9++9TpeQyxZsgQajUbaqq4SICIiIqLHHy9vplp98MEHcHd3x86dO9GqVStZX31W1MzNzXHy5Emddmdn5/vu279/f6xbtw4AcP36dYSHh2Pw4ME4evSodKlsZGQkfH190bJlSwDAiy++iPHjx2PPnj06BWEVKysrpKWlAbjzkK+771W9Vx43btzAypUrYWRkhJdfflknbuXKlfDx8ZG12dra3vc8q+bzfivOcXFxcHNzQ3p6OsLCwhAdHa3zhwdXV1ckJCTI2iwsLO6bQ3X79++HmZkZjhw5gsWLF2P9+vW15n0/ISEheP3115GUlIQjR44gPj4eixcvRkJCAgYOHCjF+fv7w9DQEKWlpbC2tkZERAQ8PDyQkpJSr+PV15w5czBt2jTp66KiIha+RERERHqCRe8TwsLCAoWFhTrtBQUF0Gg0Ne7ToUMHTJw4EbNnz0ZERISsz8XFBQcOHEB5efl9V3sNDAzg5OTUoLybNWsm2/ff//43NBoNvvzyS3zwwQeoqKjAhg0bkJubCyOj//9xrqioQGRkJAYMGCAV15mZmfD09AQAGBoaSuPevV9d8oiMjETXrl0RERGB8ePHy+K0Wm2DzjUjIwPAnXui78XOzg7Ozs5wdnbG7du38dJLLyE9PR0qlUqKUSqVDZ7vu7Vr1w6WlpZwdXVFXl4e/Pz8kJycDABwcnKCQqFARkYGXnrppRrPp3nz5rL7rs3NzTFs2DAMGzYMH3zwAXx9ffHBBx/Iit6qPxpoNBrZvg05Xn2oVCrZHBIRERGR/uDlzU8IV1fXGldbT548CRcXl1r3mzdvHs6fPy/d01llzJgxKCkpqfWy4MZ6kFV1Va/7KS0tBQD89NNPKC4uRmpqKtLS0qQtJiYG33//PQoKCuDp6Qk3NzcsW7YMlZWVD5yDgYEB3n33Xbz33ntSHg+itLQUX3zxBZ577rl6FW2jRo2CkZHRfS/NbgwhISFIT0/Hli1bANxZKR84cCDCw8N15iA3NxebNm2Cn59frSvXVa9RunHjhqy96o8G1efhQY9HRERERE8uFr16prCwUFb8paWlITs7G8HBwTh//jzefvttnD59GpmZmVixYgViYmIwffr0Wsdr3bo1pk2bhk8//VTW7uXlhbCwMEyfPh1hYWE4fPgwfvvtNyQmJmL06NHYsGFDo5zPrVu3kJubi9zcXGRkZOCtt95CSUkJhg0bBuDOA6yGDBmCrl27onPnztL2yiuvwNLSEps2bYJCoUBUVBQyMzPRp08fJCQkICsrC+fOncP69etx9epVGBoa1iuv0aNHw9DQEGvXrpW1FxQUSPlWbdULu7y8POTm5iIrKwuxsbHo06cPrl27Jl3GXVcKhQJvv/02li5dips3b0rtt2/f1smh+muN6svMzAwTJ07E/PnzpUuM16xZg1u3bsHX1xfJycnIzs7G9u3bMXDgQLRp0wYffvghgDsPEhsxYgS+/fZbnDt3DhcuXEBERAQiIyMxYsSIOudQ1+MREREREd2NRa+eSUpKgqenp2xbuHAh2rdvj+TkZPzyyy/w8fGBl5cXNm/ejPj4eAwaNOieY86YMaPGB0999NFH+Oabb5CSkgJfX1906tQJ06ZNg4eHB8aNG9co57N9+3bY2NjAxsYGXl5eOHbsGOLj49GvXz/8+eef+PHHH2u8t9bAwAAvvfSSdFl2r169cOLECbi6uiIkJAQdO3ZE7969ERMTg5UrVyI4OLheeRkZGWHKlCn4+OOPZUXtG2+8IeVbtX322WeyfV1dXWFra4sePXpg6dKl8PHxQXp6Ojp27Fjv+Rk3bhzKy8uxZs0aqe3s2bM6OVTd//wgpkyZgoyMDMTHxwO4c0/28ePH0b59e7zyyivo0KED/vWvf6F///44fPgwWrRoAeDOA7EcHR2xcOFCeHl5oXv37li9ejUWLlyIuXPn1vn4dT0eEREREdHdFOJhPRmGiOgxVVRUBI1Gg8yFGTA3MW/qdIieWDZhbZo6BSIiekRV/b5WWFh434e2cqWXiIiIiIiI9BaLXiIiIiIiItJbfGUREVEttKG2DXrHMRERERE9OrjSS0RERERERHqLRS8RERERERHpLRa9REREREREpLdY9BIREREREZHe4oOsiIhqkReeilITdVOnQfREaB3ao6lTICIiPcWVXiIiIiIiItJbLHqJiIiIiIhIb7HoJSIiIiIiIr3FopeIiIiIiIj0FoteeiQEBgZi5MiRAIB+/fohNDRUJyY6OhqWlpbS1wsWLIBCocCgQYN0Yj/55BMoFAr069dPJ75q02g0ePbZZ7Fv3z6d/Tds2ICnnnoKZmZmMDc3R9++fbFt27b7noejo6M0vqGhIWxtbTF+/Hhcv369xng3NzeoVCrk5ubW2L93714MHToU1tbWMDExQYcOHeDn54fk5OT75gIAS5YsgaGhIT755BOdvurzWV1gYKB0LkqlEk5OTli0aBFu374NAEhKSoJCoUBBQYHOvo6Ojli1alW987n7+6NWq9GjRw98//33srh+/frJ4qq2SZMm6YxR03b58uV7zhkRERER6RcWvfRYs7Gxwd69e/F///d/svbIyEjY29vrxHfq1Ak5OTnIycnB4cOH4ezsjKFDh6KwsFCKmTFjBt588034+fnh9OnTOHr0KJ555hmMGDECa9asuW9OixYtQk5ODq5cuYJNmzYhOTkZb7/9tk7cgQMHUFpailGjRmHDhg06/eHh4RgwYACsrKwQFxeHzMxMbNmyBb1798Y777xTl+lBZGQkwsLCEBkZWaf46gYNGoScnBxkZWVh+vTpWLBgQY0Fa13dLx8LCwvp+5OamgpfX1+88soryMzMlMVNnDhRiqvaPv74Y/j5+cnavL29dWLt7OwanD8RERERPX5Y9NJjrVWrVnjhhRdkReOhQ4dw7do1DBkyRCfeyMgIWq0WWq0WHTt2xKJFi1BSUoLz588DAI4cOYLly5fjk08+wYwZM+Dk5AR3d3d8+OGHCA0NxbRp05CdnX3PnMzNzaHVatGmTRv0798f48aNw8mTJ3XiIiIiMGbMGLz22ms6ReCVK1cQGhqK0NBQbNiwAc8//zwcHBzg4eGBqVOn4vjx4/edm3379qG0tBSLFi1CUVERDh06dN99qlOpVNBqtXBwcEBwcDB8fHyQkJBQ73Hqmo9CoZC+P87Ozvjggw9gYGCA06dPy+LMzMykuKrNwsICpqamsjalUqkTa2ho2KD8iYiIiOjxxKKXHntBQUGIjo6Wvo6MjERAQACUSuU997t16xaioqJgaWkJV1dXAEBMTAzUajXefPNNnfjp06ejvLwc3333XZ1z+/333/HDDz/Ay8tL1l5cXIz4+HiMHTsWAwcORGFhIfbv3y/1f/fddygvL0dYWFiN4yoUivseOyIiAv7+/jA2Noa/vz8iIiLqnHdtTE1NUVZW1qB965tPRUWF9MeM7t27N+iYdXXr1i0UFRXJNiIiIiLSDyx66bE3dOhQFBUVITk5GTdu3MDmzZsRFBRUY+yZM2egVquhVqthamqKZcuWISYmBhYWFgCA8+fPo0OHDjUWzLa2trCwsJBWhWsza9Ysafy2bdtCoVBgxYoVspjY2Fg4OzujU6dOMDQ0xKuvviorAs+fPw8LCwtotVqp7bvvvpNyV6vVOHPmTK05FBUV4dtvv8XYsWMBAGPHjsXmzZtRUlJyz9xrI4TA7t27sWPHDjz//POyvrZt28ryUqvVuHLlSoPyKSwslMZQKpUIDg7GF198gQ4dOsjiwsPDdY65adOmBp0bcOdeY41GI228BJqIiIhIf7DopceesbExxo4di6ioKMTHx8PFxQUeHh41xrq6uiItLQ1paWk4ceIEgoODMXr0aNnlwkKIB8pn5syZSEtLw+nTp5GYmAgAGDJkCCoqKqSYyMhIqQAE7hSB8fHxKC4ultqqr+b6+voiLS0NP/74I27cuCEbr7qYmBh06NABXbt2BQB069YNDg4OiIuLq9e5bNu2DWq1GiYmJhg8eDD8/PywYMECWcz+/fulOa3abG1tG5SPubm5NEZqaioWL16MSZMm4YcffpDFBQQE6Bxz+PDh9Tq3u82ZMweFhYXSdr9L2ImIiIjo8WHU1AkQVWdhYSF7sFSVgoICaDSaGvcJCgqCl5cX0tPTa13lBSA9hbiKp6cntm7dilWrVmHjxo1wcXHBgQMHUFZWprPa+8cff6CoqAguLi73zL9ly5bSMZydnbFq1Sp4e3tj79698PHxwblz53DkyBEcPXoUs2bNkvarqKhAbGwsJk6cCGdnZxQWFiI3N1da7VWr1XBycoKR0f3/t42IiMDZs2dlsZWVlYiMjMT48ePvu3+V/v37Y926dVAqlbC1ta3x2O3atdN5CnT1uLrmY2BgIPv+eHh4YOfOnfjoo48wbNgwqV2j0cjiHpRKpYJKpWq08YiIiIjo0cGVXnrkuLq61vjgp5MnT9ZacHbq1AmdOnVCeno6xowZU6/jGRoaorS0FADw6quvoqSkBJ9//rlO3LJly2BsbIyXX3653uMDkI4RERGB5557DqdOnZKtVE6bNk26xHnUqFEwNjbGRx99VK9jAXcu4T5+/DiSkpJk4yclJeHw4cP45Zdf6jxWs2bN4OTkBHt7+zoV2w8jn7u/P0RERERE9cWVXnrkBAcHY82aNXj77bcxYcIEqFQq/Pjjj4iJidG5zPVue/bsQXl5+T3fPXv79m3pnbjFxcWIi4vDuXPnpBVXb29vTJ06FTNnzkRZWRlGjhyJ8vJybNy4EatXr8aqVavue79ncXExcnNzIYRAdnY2wsLCYG1tjd69e6O8vBxff/01Fi1ahM6dO8v2mzBhAlasWIGzZ8+iU6dOWL58OaZOnYr8/HwEBgaiXbt2yM/Px8aNGwGg1qcQR0RE4Omnn8Zzzz2n0/fUU08hIiJCeu1QRUUF0tLSZDEqlQru7u73PMf6qE8+Qgjp+1NaWopdu3Zhx44dmDdvnmy/mzdv6rzbWKVSoXnz5o2WNxERERHpB6700iOhsrJSWkls3749kpOT8csvv8DHxwdeXl7YvHkz4uPjMWjQoFrHaNas2T0LXgA4e/YsbGxsYGNjg27dumHz5s1Yt24dXn/9dSlm1apVCA8PR0xMDDp37oyePXsiOTkZW7duxVtvvXXfc5k3bx5sbGxga2uLoUOHolmzZti5cyesrKyQkJCAv/76Cy+99JLOfu7u7nB3d5dWe9966y3s3LkTV69exahRo+Ds7IwXX3wRly5dwvbt29GlSxedMcrKyrBx48ZaV6NffvllfPXVVygvLwcAlJSUwNPTU7bdfRnxg6pvPkVFRdL3x93dHcuXL8eiRYswd+5c2X5ffvmlFFe1+fv7N1reRERERKQ/FOJBn9pD1AgGDRoEJycnrFmzpqlTIUJRURE0Gg2yliTB3ETd1OkQPRFah/Zo6hSIiOgxUvX7WmFhofQmltpwpZea1PXr17Ft2zYkJSXBx8enqdMhIiIiIiI9w3t6qUkFBQXh2LFjmD59OkaMGNHU6RARERERkZ7h5c1ERNXU53IZIiIiIvrn8fJmIiIiIiIiIrDoJSIiIiIiIj3GopeIiIiIiIj0FoteIiIiIiIi0lt8ejMRUS2ufp6Iv02bNXUaRI+9VlNeaOoUiIjoCcaVXiIiIiIiItJbLHqJiIiIiIhIb7HoJSIiIiIiIr3FopeIiIiIiIj0FoteogcQGBgIhUIBhUIBpVIJJycnLFq0CLdv35bF+fr6wtDQEMeOHbvnGMbGxmjXrh3CwsLw999/Izo6WuqrbRswYAC6dOmCsrIy2bg//fQTlEolTp48WWPu/fr1k43TunVrjB49Gr/99psUk5SUBIVCgYKCAp39HR0dsWrVKulrhUIBExMT2f4AMHLkSAQGBkox99oWLFiAy5cvQ6FQIC0tDQCkr1u1aoXi4mLZ2N26dcOCBQtkbRcuXEBQUBDs7e2hUqnQpk0bDBgwAJs2bdL5vhARERGR/mPRS/SABg0ahJycHGRlZWH69OlYsGABPvnkE6n/ypUrOHToEKZMmYLIyMh7jnHx4kWsXLkSn3/+OebPnw8/Pz/k5ORIm7e3NyZOnChr+/7771FcXIz58+dL4xUUFGDixIl4//330b1791pzrxrrjz/+wH/+8x9kZ2dj7NixDZ4LhUKBefPm1dp/d96rVq2ChYWFrG3GjBm17ltcXIxly5bd8/hHjx5F9+7dkZGRgbVr1yI9PR1JSUmYMGEC1q1bh7Nnzzb43IiIiIjo8cSil+gBqVQqaLVaODg4IDg4GD4+PkhISJD6o6KiMHToUAQHByMmJgalpaW1jmFnZ4eRI0fCx8cHu3btgqmpKbRarbQplUqYmZnJ2jQaDaKiorB8+XKkpKQAAEJDQ9GmTRvMmTPnnrlXjWVjY4NevXphypQpta4M18WUKVOwceNGpKen19hfPW+FQiFrU6vVtY791ltvYcWKFcjLy6uxXwiBwMBAuLi44ODBgxg2bBicnZ3h7OwMf39/HDhwAB4eHg0+NyIiIiJ6PLHoJWpkpqam0qXGQghERUVh7NixcHNzg5OTE7799tt77p+eno5Dhw5BqVTW+Zj9+/fH5MmTMW7cOMTHx2Pz5s346quvYGRU91dx5+fnY/PmzfDy8qrzPtX16dMHQ4cOxezZsxs8Rm38/f2ly8drkpaWhoyMDMyYMQMGBjX/06ZQKGpsv3XrFoqKimQbEREREekHFr1EjUQIgd27d2PHjh14/vnnAQC7d+/GzZs34evrCwAYO3YsIiIidPbdtm0b1Go1TExM0KVLF+Tl5WHmzJn1Ov6SJUsAAK+++ioWL14MNze3++4THh4OtVqNZs2awcrKCpmZmbVegl2fPLZv3479+/c/0DjVKRQKLF26FF988QV+/fVXnf7z588DAFxdXaW2vLw8qNVqaQsPD681Z41GI212dnaNmjsRERERNR0WvUQP6O6CdfDgwfDz85MerhQZGQk/Pz9pxdXf3x8HDx7UKdr69++PtLQ0pKSkYNy4cXjjjTfw8ssv1ysPU1NTzJgxA2ZmZpg6dWqd9gkICEBaWhpOnTqFAwcOwMnJCS+88ILOA6Pqo2PHjnj99dcfymqvr68vnnnmGbz//vt1ireyskJaWhrS0tJgaWmp87CvKnPmzEFhYaG0ZWdnN2baRERERNSEWPQSPaCqgjUrKwulpaXYsGEDmjVrhvz8fGzZsgXh4eEwMjKCkZER2rRpg9u3b+uspjZr1gxOTk7o2rUrIiMjkZKSUuOK8P0YGRnB0NCw1st4q9NoNHBycoKTkxP69OmDiIgIZGVlIS4uDgBgYWEBACgsLNTZt6CgABqNpsZxFy5ciJMnT2Lr1q31Pof7Wbp0KeLi4pCamiprd3Z2BgBkZmZKbYaGhtL53etSb5VKBQsLC9lGRERERPqBRS/RA6oqWO3t7WWF1aZNm9C2bVucOnVKWm1MS0vD8uXLER0djYqKihrHMzAwwLvvvov33nuvxodePUyGhoYAIB3X2dkZBgYGOHHihCzu4sWLKCwshIuLS43j2NnZYcqUKXj33XdrPc+Gevrpp/E///M/OivJnp6ecHNzw7Jly1BZWdmoxyQiIiKixxeLXqKHJCIiAqNGjULnzp1l2/jx43Ht2jVs37691n1Hjx4NQ0NDrF279qHmePPmTeTm5iI3NxenTp1CcHAwTExM8MILLwAAzM3NMWHCBEyfPh0JCQm4dOkSkpOTERAQgF69eqF37961jj1nzhz88ccf2L17d6Pn/eGHH2LPnj2yVV2FQoGoqChkZmaiT58+SEhIQFZWFs6dO4f169fj6tWrUlFPRERERE8OFr1ED8GJEydw6tSpGu/L1Wg0GDBgwD0vXzYyMsKUKVPw8ccf48aNGw8tzy+//BI2NjawsbFB//79ce3aNfz000+yh0GtXr0a48aNw6xZs9CpUycEBgbCw8MDP/zwwz0vo27RogVmzZqFv//+u9HzdnFxQVBQkM7YvXr1wokTJ+Dq6oqQkBB07NgRvXv3RkxMDFauXIng4OBGz4WIiIiIHm0KIYRo6iSIiB4lRUVF0Gg0uPDx9zA3bdbU6RA99lpNeaGpUyAiIj1T9ftaYWHhfZ/HwpVeIiIiIiIi0lsseomIiIiIiEhv1f4ODyKiJ5z1mwP4+iIiIiKixxxXeomIiIiIiEhvcaWXiKiaquf7FRUVNXEmRERERFSTqt/T6vJcZha9RETV/PXXXwAAOzu7Js6EiIiIiO6luLgYGo3mnjEseomIqmnRogUA4MqVK/f9R5TuraioCHZ2dsjOzub90Q+Ic9k4OI+Nh3PZeDiXjYdz2Tgeh3kUQqC4uBi2trb3jWXRS0RUjYHBnccdaDSaR/Yf+seNhYUF57KRcC4bB+ex8XAuGw/nsvFwLhvHoz6PdV2c4IOsiIiIiIiISG+x6CUiIiIiIiK9xaKXiKgalUqF+fPnQ6VSNXUqjz3OZePhXDYOzmPj4Vw2Hs5l4+FcNg59m0eFqMsznomIiIiIiIgeQ1zpJSIiIiIiIr3FopeIiIiIiIj0FoteIiIiIiIi0lsseomIiIiIiEhvseglIqpm7dq1cHR0hImJCby8vHD06NGmTqlJJScnY9iwYbC1tYVCocDWrVtl/UIIzJs3DzY2NjA1NYWPjw+ysrJkMfn5+QgICICFhQUsLS0xfvx4lJSUyGJOnz6NZ599FiYmJrCzs8PHH3/8sE/tH7VkyRI89dRTMDc3R6tWrTBy5EhkZmbKYv7++2+EhITAysoKarUaL7/8Mv78809ZzJUrVzBkyBCYmZmhVatWmDlzJm7fvi2LSUpKQvfu3aFSqeDk5ITo6OiHfXr/qHXr1sHDwwMWFhawsLCAt7c3fv75Z6mf89gwS5cuhUKhQGhoqNTGuay7BQsWQKFQyDY3Nzepn3NZd7///jvGjh0LKysrmJqaokuXLjh+/LjUz587dePo6KjzmVQoFAgJCQHwhH0mBRERSWJjY4VSqRSRkZHi7NmzYuLEicLS0lL8+eefTZ1ak/npp5/E3Llzxffffy8AiC1btsj6ly5dKjQajdi6das4deqUGD58uGjXrp0oLS2VYgYNGiS6du0qjhw5Ivbv3y+cnJyEv7+/1F9YWChat24tAgICRHp6uoiJiRGmpqbi888//6dO86Hz9fUVUVFRIj09XaSlpYkXX3xR2Nvbi5KSEilm0qRJws7OTiQmJorjx4+LXr16id69e0v9t2/fFp07dxY+Pj4iNTVV/PTTT6Jly5Zizpw5UszFixeFmZmZmDZtmjh37pz47LPPhKGhodi+ffs/er4PU0JCgvjxxx/F+fPnRWZmpnj33XeFsbGxSE9PF0JwHhvi6NGjwtHRUXh4eIipU6dK7ZzLups/f77o1KmTyMnJkbarV69K/ZzLusnPzxcODg4iMDBQpKSkiIsXL4odO3aICxcuSDH8uVM3eXl5ss/jrl27BACxd+9eIcST9Zlk0UtEdJenn35ahISESF9XVFQIW1tbsWTJkibM6tFRveitrKwUWq1WfPLJJ1JbQUGBUKlUIiYmRgghxLlz5wQAcezYMSnm559/FgqFQvz+++9CCCHCw8NF8+bNxa1bt6SYWbNmCVdX14d8Rk0nLy9PABD79u0TQtyZN2NjYxEfHy/FZGRkCADi8OHDQog7f4AwMDAQubm5Usy6deuEhYWFNHdhYWGiU6dOsmP5+fkJX1/fh31KTap58+bi3//+N+exAYqLi4Wzs7PYtWuX6Nu3r1T0ci7rZ/78+aJr16419nEu627WrFnimWeeqbWfP3caburUqaJDhw6isrLyiftM8vJmIqL/Kisrw4kTJ+Dj4yO1GRgYwMfHB4cPH27CzB5dly5dQm5urmzONBoNvLy8pDk7fPgwLC0t0bNnTynGx8cHBgYGSElJkWKee+45KJVKKcbX1xeZmZm4fv36P3Q2/6zCwkIAQIsWLQAAJ06cQHl5uWwu3dzcYG9vL5vLLl26oHXr1lKMr68vioqKcPbsWSnm7jGqYvT1M1xRUYHY2FjcuHED3t7enMcGCAkJwZAhQ3TOl3NZf1lZWbC1tUX79u0REBCAK1euAOBc1kdCQgJ69uyJ0aNHo1WrVvD09MSXX34p9fPnTsOUlZVh48aNCAoKgkKheOI+kyx6iYj+69q1a6ioqJD94w4ArVu3Rm5ubhNl9Wirmpd7zVlubi5atWol6zcyMkKLFi1kMTWNcfcx9EllZSVCQ0PRp08fdO7cGcCd81QqlbC0tJTFVp/L+81TbTFFRUUoLS19GKfTJM6cOQO1Wg2VSoVJkyZhy5Yt6NixI+exnmJjY3Hy5EksWbJEp49zWT9eXl6Ijo7G9u3bsW7dOly6dAnPPvssiouLOZf1cPHiRaxbtw7Ozs7YsWMHgoOD8fbbb2PDhg0A+HOnobZu3YqCggIEBgYCePL+/zZq6gSIiIieNCEhIUhPT8eBAweaOpXHlqurK9LS0lBYWIhvv/0W48aNw759+5o6rcdKdnY2pk6dil27dsHExKSp03nsDR48WPpvDw8PeHl5wcHBAZs3b4apqWkTZvZ4qaysRM+ePbF48WIAgKenJ9LT07F+/XqMGzeuibN7fEVERGDw4MGwtbVt6lSaBFd6iYj+q2XLljA0NNR5cuGff/4JrVbbRFk92qrm5V5zptVqkZeXJ+u/ffs28vPzZTE1jXH3MfTFlClTsG3bNuzduxdt27aV2rVaLcrKylBQUCCLrz6X95un2mIsLCz06hdvpVIJJycn9OjRA0uWLEHXrl2xevVqzmM9nDhxAnl5eejevTuMjIxgZGSEffv24dNPP4WRkRFat27NuXwAlpaWcHFxwYULF/i5rAcbGxt07NhR1ubu7i5dKs6fO/X322+/Yffu3ZgwYYLU9qR9Jln0EhH9l1KpRI8ePZCYmCi1VVZWIjExEd7e3k2Y2aOrXbt20Gq1sjkrKipCSkqKNGfe3t4oKCjAiRMnpJg9e/agsrISXl5eUkxycjLKy8ulmF27dsHV1RXNmzf/h87m4RJCYMqUKdiyZQv27NmDdu3ayfp79OgBY2Nj2VxmZmbiypUrsrk8c+aM7Je5Xbt2wcLCQvol0dvbWzZGVYy+f4YrKytx69YtzmM9DBgwAGfOnEFaWpq09ezZEwEBAdJ/cy4brqSkBL/++itsbGz4uayHPn366LzO7fz583BwcADAnzsNERUVhVatWmHIkCFS2xP3mWzqJ2kRET1KYmNjhUqlEtHR0eLcuXPiX//6l7C0tJQ9ufBJU1xcLFJTU0VqaqoAIFasWCFSU1PFb7/9JoS48+oIS0tL8Z///EecPn1ajBgxosZXR3h6eoqUlBRx4MAB4ezsLHt1REFBgWjdurV47bXXRHp6uoiNjRVmZmZ69eqI4OBgodFoRFJSkuwVEjdv3pRiJk2aJOzt7cWePXvE8ePHhbe3t/D29pb6q14f8cILL4i0tDSxfft2YW1tXePrI2bOnCkyMjLE2rVrH8nXRzyI2bNni3379olLly6J06dPi9mzZwuFQiF27twphOA8Poi7n94sBOeyPqZPny6SkpLEpUuXxMGDB4WPj49o2bKlyMvLE0JwLuvq6NGjwsjISHz44YciKytLbNq0SZiZmYmNGzdKMfy5U3cVFRXC3t5ezJo1S6fvSfpMsuglIqrms88+E/b29kKpVIqnn35aHDlypKlTalJ79+4VAHS2cePGCSHuvD7i/fffF61btxYqlUoMGDBAZGZmysb466+/hL+/v1Cr1cLCwkK88cYbori4WBZz6tQp8cwzzwiVSiXatGkjli5d+k+d4j+ipjkEIKKioqSY0tJSMXnyZNG8eXNhZmYmXnrpJZGTkyMb5/Lly2Lw4MHC1NRUtGzZUkyfPl2Ul5fLYvbu3Su6desmlEqlaN++vewY+iAoKEg4ODgIpVIprK2txYABA6SCVwjO44OoXvRyLuvOz89P2NjYCKVSKdq0aSP8/Pxk75blXNbdDz/8IDp37ixUKpVwc3MTX3zxhayfP3fqbseOHQKAzvwI8WR9JhVCCNEkS8xEREREREREDxnv6SUiIiIiIiK9xaKXiIiIiIiI9BaLXiIiIiIiItJbLHqJiIiIiIhIb7HoJSIiIiIiIr3FopeIiIiIiIj0FoteIiIiIiIi0lsseomIiIiIiEhvseglIiIioholJSVBoVCgoKCgqVMhImowFr1ERERETSQ7OxtBQUGwtbWFUqmEg4MDpk6dir/++usfz6Vfv34IDQ2VtfXu3Rs5OTnQaDQAgOjoaFhaWv7juRERPQgWvURERERN4OLFi+jZsyeysrIQExODCxcuYP369UhMTIS3tzfy8/ObOkUolUpotVooFIqmToWIqMFY9BIRERE1gZCQECiVSuzcuRN9+/aFvb09Bg8ejN27d+P333/H3LlzAQAKhQJbt26V7WtpaYno6Gjp61mzZsHFxQVmZmZo37493n//fZSXl0v9CxYsQLdu3fD111/D0dERGo0Gr776KoqLiwEAgYGB2LdvH1avXg2FQgGFQoHLly/LLm9OSkrCG2+8gcLCQilmwYIFWLRoETp37qxzft26dcP777/f+BNHRFRPLHqJiIiI/mH5+fnYsWMHJk+eDFNTU1mfVqtFQEAA4uLiIISo03jm5uaIjo7GuXPnsHr1anz55ZdYuXKlLObXX3/F1q1bsW3bNmzbtg379u3D0qVLAQCrV6+Gt7c3Jk6ciJycHOTk5MDOzk62f+/evbFq1SpYWFhIMTNmzEBQUBAyMjJw7NgxKTY1NRWnT5/GG2+80ZDpISJqVEZNnQARERHRkyYrKwtCCLi7u9fY7+7ujuvXr+Pq1at1Gu+9996T/tvR0REzZsxAbGwswsLCpPbKykpER0fD3NwcAPDaa68hMTERH374ITQaDZRKJczMzKDVams8hlKphEajgUKhkMWo1Wr4+voiKioKTz31FAAgKioKffv2Rfv27euUPxHRw8SVXiIiIqImcr+VXKVSWadx4uLi0KdPH2i1WqjVarz33nu4cuWKLMbR0VEqeAHAxsYGeXl59U+6BhMnTkRMTAz+/vtvlJWV4ZtvvkFQUFCjjE1E9KBY9BIRERH9w5ycnKBQKJCRkVFjf0ZGBqytrWFpaQmFQqFTHN99v+7hw4cREBCAF198Edu2bUNqairmzp2LsrIy2T7GxsayrxUKBSorKxvlfIYNGwaVSoUtW7bghx9+QHl5OUaNGtUoYxMRPShe3kxERET0D7OyssLAgQMRHh6Od955R3Zfb25uLjZt2oSQkBAAgLW1NXJycqT+rKws3Lx5U/r60KFDcHBwkB58BQC//fZbvXNSKpWoqKhoUIyRkRHGjRuHqKgoKJVKvPrqqzr3KhMRNRWu9BIRERE1gTVr1uDWrVvw9fVFcnIysrOzsX37dgwcOBAuLi6YN28eAOD555/HmjVrkJqaiuPHj2PSpEmyVVtnZ2dcuXIFsbGx+PXXX/Hpp59iy5Yt9c7H0dERKSkpuHz5Mq5du1bjKrCjoyNKSkqQmJiIa9euyYrvCRMmYM+ePdi+fTsvbSaiRwqLXiIiIqIm4OzsjGPHjqF9+/Z45ZVX4ODggMGDB8PFxQUHDx6EWq0GACxfvhx2dnZ49tlnMWbMGMyYMQNmZmbSOMOHD8c777yDKVOmoFu3bjh06FCDXhU0Y8YMGBoaomPHjrC2tta5Jxi48wTnSZMmwc/PD9bW1vj4449l59O7d2+4ubnBy8urATNCRPRwKERdn4VPRERERA/V/PnzsWLFCuzatQu9evVq6nTqRQgBZ2dnTJ48GdOmTWvqdIiIJLynl4iIiOgRsXDhQjg6OuLIkSN4+umnYWDweFyUd/XqVcTGxiI3N5fv5iWiRw5XeomIiIjogSgUCrRs2RKrV6/GmDFjmjodIiIZrvQSERER0QPhGgoRPcoej2tmiIiIiIiIiBqARS8RERERERHpLRa9REREREREpLdY9BIREREREZHeYtFLREREREREeotFLxEREREREektFr1ERERERESkt1j0EhERERERkd76f271RbigYdnuAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Top 20 products by quantity\n", "plt.figure(figsize=(8, 6))\n", "sns.barplot(x=df_products['Quantity'], y=df_products['Product_name'])\n", "plt.title('Top 20 products by quantity')\n", "plt.show()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "c-BTlnKBDDMT" }, "source": [ "## Top 20 highest spending customers " ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 676 }, "id": "q9ShfJBmAwCW", "outputId": "096a3f5f-5e35-420d-d3d4-e0b72007363e" }, "outputs": [ { "data": { "text/html": [ "
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CustomerIDTotalAmount
018102.029443.60
116029.018336.92
217511.018091.90
315311.012725.74
413089.011970.22
514096.010089.79
615769.09677.40
713694.09084.80
815061.08973.70
916684.08483.82
1014298.08405.88
1113798.08363.32
1214680.07597.71
1317450.07520.76
1413098.07231.91
1517841.06706.13
1615749.06539.40
1713081.06111.55
1812931.06025.90
1916422.06005.21
\n", "
" ], "text/plain": [ " CustomerID TotalAmount\n", "0 18102.0 29443.60\n", "1 16029.0 18336.92\n", "2 17511.0 18091.90\n", "3 15311.0 12725.74\n", "4 13089.0 11970.22\n", "5 14096.0 10089.79\n", "6 15769.0 9677.40\n", "7 13694.0 9084.80\n", "8 15061.0 8973.70\n", "9 16684.0 8483.82\n", "10 14298.0 8405.88\n", "11 13798.0 8363.32\n", "12 14680.0 7597.71\n", "13 17450.0 7520.76\n", "14 13098.0 7231.91\n", "15 17841.0 6706.13\n", "16 15749.0 6539.40\n", "17 13081.0 6111.55\n", "18 12931.0 6025.90\n", "19 16422.0 6005.21" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_customers = data_uk_concat.groupby('CustomerID')['TotalAmount'].sum()\n", "df_customers = pd.DataFrame(df_customers.sort_values(ascending=False)).iloc[:20, :]\n", "df_customers = df_customers.reset_index()\n", "df_customers" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 357 }, "id": "eQDHsyj-DBQ4", "outputId": "44ba436e-d3b0-4a63-a663-79dc0be12589" }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Top 20 Spending Customers\n", "plt.figure(figsize=(8, 6))\n", "sns.barplot(x=df_customers['CustomerID'], y=df_customers['TotalAmount'])\n", "plt.title('Top 20 Spending Customers')\n", "plt.xticks(rotation=65)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 708 }, "id": "xZ--Dq2GIF__", "outputId": "ce7f9a46-95dd-4dad-e172-840c3d18671e" }, "outputs": [ { "data": { "text/html": [ "
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113217811.0
123212921.0
133213263.0
143115061.0
152813468.0
162817757.0
172816422.0
182814298.0
192715005.0
\n", "
" ], "text/plain": [ " Frequency CustomerID\n", "0 147 12748.0\n", "1 117 17841.0\n", "2 87 15311.0\n", "3 86 14606.0\n", "4 63 13089.0\n", "5 52 14527.0\n", "6 47 12971.0\n", "7 44 15039.0\n", "8 40 13798.0\n", "9 35 13408.0\n", "10 33 16029.0\n", "11 32 17811.0\n", "12 32 12921.0\n", "13 32 13263.0\n", "14 31 15061.0\n", "15 28 13468.0\n", "16 28 17757.0\n", "17 28 16422.0\n", "18 28 14298.0\n", "19 27 15005.0" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Top 20 most frequent customers \n", "df_frequency = data_uk_concat.groupby('CustomerID')['InvoiceNo'].unique()\n", "\n", "nb_orders = []\n", "for value in df_frequency.values:\n", " nb_orders.append(len(value))\n", "\n", "indexes = df_frequency.index\n", "\n", "df_frequency = pd.DataFrame(nb_orders, columns=['Frequency'])\n", "df_frequency['CustomerID'] = indexes\n", "df_frequency = df_frequency.sort_values('Frequency', ascending=False).iloc[:20, :]\n", "df_frequency = df_frequency.reset_index()\n", "df_frequency = df_frequency.drop('index', axis=1)\n", "df_frequency" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 361 }, "id": "1mfHasC_KpS6", "outputId": "74410d7d-a5b5-495b-9778-7656be987120" }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Top 20 Customers frequency\n", "plt.figure(figsize=(8,6))\n", "sns.barplot(x=df_frequency['CustomerID'], y=df_frequency['Frequency'])\n", "plt.title('Top 20 Customers frequency')\n", "plt.xticks(rotation=65)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 676 }, "id": "w8GFd7wPMMnA", "outputId": "999a8d57-c945-4144-b74d-f5c84286aa78" }, "outputs": [ { "data": { "text/html": [ "
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CustomerIDMeanAmountPerOrder
015749.06539.400000
116532.02232.000000
218102.0841.245714
317949.0827.751429
417857.0795.000000
516308.0640.000000
617723.0518.750000
712931.0463.530769
812980.0458.124000
916333.0424.462222
1017388.0381.600000
1115769.0372.207692
1217029.0358.000000
1315100.0350.400000
1417450.0341.852727
1516029.0333.398545
1613750.0325.440000
1713848.0320.000000
1814145.0297.000000
1913452.0295.000000
\n", "
" ], "text/plain": [ " CustomerID MeanAmountPerOrder\n", "0 15749.0 6539.400000\n", "1 16532.0 2232.000000\n", "2 18102.0 841.245714\n", "3 17949.0 827.751429\n", "4 17857.0 795.000000\n", "5 16308.0 640.000000\n", "6 17723.0 518.750000\n", "7 12931.0 463.530769\n", "8 12980.0 458.124000\n", "9 16333.0 424.462222\n", "10 17388.0 381.600000\n", "11 15769.0 372.207692\n", "12 17029.0 358.000000\n", "13 15100.0 350.400000\n", "14 17450.0 341.852727\n", "15 16029.0 333.398545\n", "16 13750.0 325.440000\n", "17 13848.0 320.000000\n", "18 14145.0 297.000000\n", "19 13452.0 295.000000" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Top 20 customers \n", "df_mean = data_uk_concat.groupby('CustomerID')['TotalAmount'].mean()\n", "df_mean = pd.DataFrame(df_mean.sort_values(ascending=False)).iloc[:20, :]\n", "df_mean = df_mean.reset_index()\n", "df_mean['MeanAmountPerOrder'] = df_mean['TotalAmount']\n", "df_mean = df_mean.drop('TotalAmount', axis=1)\n", "df_mean" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 559 }, "id": "__Qww1G1NkXL", "outputId": "1af787fb-65a1-4cd3-ee0e-d74812022e36" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Top 20 Customers frequency\n", "plt.figure(figsize=(8,6))\n", "sns.barplot(x=df_mean['CustomerID'], y=df_mean['MeanAmountPerOrder'])\n", "plt.title('Average amount spent by each Customer')\n", "plt.xticks(rotation=65)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 425 }, "id": "KruI5h5p2_HA", "outputId": "a3121a44-3c40-4cae-add3-b1d26801dedf" }, "outputs": [ { "data": { "text/html": [ "
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MonthTotalAmount
011151477.39
11098695.45
2789374.51
3881616.02
4976484.25
51271754.21
6565871.27
7663849.64
8452789.29
9344307.46
10238625.74
11123066.47
\n", "
" ], "text/plain": [ " Month TotalAmount\n", "0 11 151477.39\n", "1 10 98695.45\n", "2 7 89374.51\n", "3 8 81616.02\n", "4 9 76484.25\n", "5 12 71754.21\n", "6 5 65871.27\n", "7 6 63849.64\n", "8 4 52789.29\n", "9 3 44307.46\n", "10 2 38625.74\n", "11 1 23066.47" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Periodicity of sales (sales per month)\n", "df_sales_month = data_uk_concat.groupby('Month')['TotalAmount'].sum()\n", "df_sales_month = pd.DataFrame(df_sales_month.sort_values(ascending=False)).iloc[:20, :]\n", "df_sales_month = df_sales_month.reset_index()\n", "df_sales_month" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 332 }, "id": "IDE8i-6D5v28", "outputId": "47eefa5f-d60b-4425-82e0-6aac5b47dd9c" }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Sales different months.\n", "plt.figure(figsize=(8,6))\n", "sns.barplot(x=df_sales_month['Month'], y=df_sales_month['TotalAmount'])\n", "plt.title('Sales per Months')\n", "plt.show()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "p6IGZXiu6l0W" }, "source": [ "The highest sales are made at the end of year (September, October, November, December)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "wOqKS_Au60mc", "outputId": "d52f524d-d3c3-4970-ef53-8505952dad69" }, "outputs": [ { "data": { "text/html": [ "
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DayTotalAmount
0449960.68
11142442.55
2741898.75
3535126.09
41834843.95
52033572.80
6632705.11
72431894.64
8131335.75
91031329.50
102830984.39
111429635.22
12827769.07
132227744.99
141627606.92
152127492.91
161727257.89
172526754.21
18925874.24
192325003.30
\n", "
" ], "text/plain": [ " Day TotalAmount\n", "0 4 49960.68\n", "1 11 42442.55\n", "2 7 41898.75\n", "3 5 35126.09\n", "4 18 34843.95\n", "5 20 33572.80\n", "6 6 32705.11\n", "7 24 31894.64\n", "8 1 31335.75\n", "9 10 31329.50\n", "10 28 30984.39\n", "11 14 29635.22\n", "12 8 27769.07\n", "13 22 27744.99\n", "14 16 27606.92\n", "15 21 27492.91\n", "16 17 27257.89\n", "17 25 26754.21\n", "18 9 25874.24\n", "19 23 25003.30" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Sales per day \n", "df_sales_day = data_uk_concat.groupby('Day')['TotalAmount'].sum()\n", "df_sales_day = pd.DataFrame(df_sales_day.sort_values(ascending=False)).iloc[:20, :]\n", "df_sales_day = df_sales_day.reset_index()\n", "df_sales_day" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 327 }, "id": "jHu6M1F98ZgF", "outputId": "2fa0c7d7-d881-4e33-d8d5-b64250c48b0c" }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Sales per day.\n", "plt.figure(figsize=(8,6))\n", "sns.barplot(x=df_sales_day['Day'], y=df_sales_day['TotalAmount'])\n", "plt.title('Sales per Days')\n", "plt.show()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "cOfKFglr9H_a" }, "source": [ "Let's finish with the sales per moment of the day" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "5b_nExux9P_9", "outputId": "1b2996c6-eaca-44a1-8d6a-a903a8ddac12" }, "outputs": [ { "data": { "text/plain": [ "array([ 9, 11, 12, 13, 14, 15, 16, 8, 19, 10, 17, 18, 7, 20])" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_uk_concat['Hour'].unique()" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "id": "NJRU3yh5-Qvu" }, "outputs": [], "source": [ "def subset_time(time):\n", " if (time==7 or time==8 or time==9 or time==10 or time==11) :\n", " return'Morning'\n", " \n", " elif (time==12 or time==13 or time==14 or time==15 or time==16):\n", " return 'Afternoon'\n", " \n", " else:\n", " return 'Evening'" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "id": "zC3JLOo9-Y5U" }, "outputs": [], "source": [ "data_uk_concat['TimeOfDay'] = data_uk_concat['Hour'].apply(subset_time)" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 143 }, "id": "jPnuv5sF-jIC", "outputId": "9a7c3ca9-60e3-48ff-818b-2f1181f84774" }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
TimeOfDayTotalAmount
0Afternoon500502.87
1Morning324149.00
2Evening33259.83
\n", "
" ], "text/plain": [ " TimeOfDay TotalAmount\n", "0 Afternoon 500502.87\n", "1 Morning 324149.00\n", "2 Evening 33259.83" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_time_day = data_uk_concat.groupby('TimeOfDay')['TotalAmount'].sum()\n", "df_time_day = pd.DataFrame(df_time_day.sort_values(ascending=False))\n", "df_time_day = df_time_day.reset_index()\n", "df_time_day" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 523 }, "id": "nkXA2sDs-s7J", "outputId": "f211f5c0-21ce-4113-9bd0-33b03e3c4fb2" }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Sales on different day-time types\n", "plt.figure(figsize=(8,6))\n", "sns.barplot(x=df_time_day['TimeOfDay'], y=df_time_day['TotalAmount'])\n", "plt.title('Sales per time of day')\n", "plt.show()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Change in number of active customers month after month" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "def data_subset(data, beginning='2010-12-01', end='2011-12-09'):\n", " \n", " beginning = pd.to_datetime(beginning)\n", " end = pd.to_datetime(end)\n", " \n", " # Subsetting\n", " data = data[(data['InvoiceDate'] >= beginning) & (data['InvoiceDate'] <= end)]\n", "\n", " return data" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CustomerIDDescriptionQuantityUnitPriceTotalAmountInvoiceNoStockCodeInvoiceDateMonthDayYearHourTimeOfDay
4717850.0HAND WARMER RED POLKA DOT61.8511.10536372226322010-12-01 09:01:0012120109Morning
4817850.0HAND WARMER UNION JACK61.8511.10536372226332010-12-01 09:01:0012120109Morning
4917850.0WHITE HANGING HEART T-LIGHT HOLDER62.5515.3053637385123A2010-12-01 09:02:0012120109Morning
5017850.0WHITE METAL LANTERN63.3920.34536373710532010-12-01 09:02:0012120109Morning
5117850.0CREAM CUPID HEARTS COAT HANGER82.7522.0053637384406B2010-12-01 09:02:0012120109Morning
..........................................
54188315804.0BOX OF 24 COCKTAIL PARASOLS250.4210.50581585846922011-12-09 12:31:00129201112Afternoon
54188415804.0ANTIQUE SILVER T-LIGHT GLASS121.2515.00581585849462011-12-09 12:31:00129201112Afternoon
54188615804.0MAGNETS PACK OF 4 SWALLOWS120.394.68581585223982011-12-09 12:31:00129201112Afternoon
54189113113.0SET OF 3 HANGING OWLS OLLIE BEAK241.2530.00581586232752011-12-09 12:49:00129201112Afternoon
54189213113.0RED RETROSPOT ROUND CAKE TINS248.95214.80581586212172011-12-09 12:49:00129201112Afternoon
\n", "

41968 rows × 13 columns

\n", "
" ], "text/plain": [ " CustomerID Description Quantity UnitPrice \n", "47 17850.0 HAND WARMER RED POLKA DOT 6 1.85 \\\n", "48 17850.0 HAND WARMER UNION JACK 6 1.85 \n", "49 17850.0 WHITE HANGING HEART T-LIGHT HOLDER 6 2.55 \n", "50 17850.0 WHITE METAL LANTERN 6 3.39 \n", "51 17850.0 CREAM CUPID HEARTS COAT HANGER 8 2.75 \n", "... ... ... ... ... \n", "541883 15804.0 BOX OF 24 COCKTAIL PARASOLS 25 0.42 \n", "541884 15804.0 ANTIQUE SILVER T-LIGHT GLASS 12 1.25 \n", "541886 15804.0 MAGNETS PACK OF 4 SWALLOWS 12 0.39 \n", "541891 13113.0 SET OF 3 HANGING OWLS OLLIE BEAK 24 1.25 \n", "541892 13113.0 RED RETROSPOT ROUND CAKE TINS 24 8.95 \n", "\n", " TotalAmount InvoiceNo StockCode InvoiceDate Month Day Year \n", "47 11.10 536372 22632 2010-12-01 09:01:00 12 1 2010 \\\n", "48 11.10 536372 22633 2010-12-01 09:01:00 12 1 2010 \n", "49 15.30 536373 85123A 2010-12-01 09:02:00 12 1 2010 \n", "50 20.34 536373 71053 2010-12-01 09:02:00 12 1 2010 \n", "51 22.00 536373 84406B 2010-12-01 09:02:00 12 1 2010 \n", "... ... ... ... ... ... ... ... \n", "541883 10.50 581585 84692 2011-12-09 12:31:00 12 9 2011 \n", "541884 15.00 581585 84946 2011-12-09 12:31:00 12 9 2011 \n", "541886 4.68 581585 22398 2011-12-09 12:31:00 12 9 2011 \n", "541891 30.00 581586 23275 2011-12-09 12:49:00 12 9 2011 \n", "541892 214.80 581586 21217 2011-12-09 12:49:00 12 9 2011 \n", "\n", " Hour TimeOfDay \n", "47 9 Morning \n", "48 9 Morning \n", "49 9 Morning \n", "50 9 Morning \n", "51 9 Morning \n", "... ... ... \n", "541883 12 Afternoon \n", "541884 12 Afternoon \n", "541886 12 Afternoon \n", "541891 12 Afternoon \n", "541892 12 Afternoon \n", "\n", "[41968 rows x 13 columns]" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_uk_concat" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[0, 220, 386, 545, 701, 871, 1082, 1252, 1381, 1510, 1643, 1857, 2165, 2272]" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "nb_customers = []\n", "for i in range(0, 420, 30):\n", " new_data = data_subset(data_uk_concat, beginning=date(2010, 12, 1), end=date(2010, 12, 1) + timedelta(days=i))\n", " nb_customers.append(new_data['CustomerID'].nunique())\n", " \n", "nb_customers" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(8,6))\n", "plt.plot(nb_customers, marker='+', color='r')\n", "plt.title('Evolution of the number of customers per month')\n", "plt.xlabel('Months')\n", "plt.ylabel('Number of customers')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "colab": { "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.4" } }, "nbformat": 4, "nbformat_minor": 0 }