{ "cells": [ { "cell_type": "code", "execution_count": 63, "id": "f010aba2", "metadata": {}, "outputs": [], "source": [ "import warnings\n", "warnings.filterwarnings(\"ignore\")\n", "\n", "import requests\n", "import numpy as np\n", "import pandas as pd\n", "import geopandas as gpd \n", "from shapely.geometry import shape\n", "\n", "from datetime import datetime, timedelta" ] }, { "cell_type": "markdown", "id": "7c3eea95", "metadata": {}, "source": [ "# Table\n", "\n", "## [- Geocoding](#Geocoding)\n", "\n", "1. [Address Data Cleaning](#Address-Data-Cleaning)\n", "2. [Create cache-like database](#Create-cache-like-database)\n", "3. [Geocoding for street segment](#Geocoding-for-street-segment)\n", "4. [Get Geometry from LION](#Get-Geometry-from-LION)\n", "5. [Create permit GeoDataFrame and Export it](#Create-permit-GeoDataFrame-and-Export-it)\n", "\n", "## [- Count the Number of Permit by Geographical Unit](#Count-the-Number-of-Permit-by-Geographical-Unit)\n", "1. [Count Permit by Street Segments](#Count-Permit-by-Street-Segments)\n", "2. [Count Permit by Census Tract](#Count-Permit-by-Census-Tract)\n", "\n", "## [- Count the Number of Permit by Time](#Count-the-Number-of-Permit-by-Time)\n", "1. [Extract hour and day from Timeframe by Event](#Extract-hour-and-day-from-Timeframe-by-Event)\n", "2. [Count Event Duration](#Count-Event-Duration)\n", "3. [Count Permit Numbers in Hour of a Day](#Count-Permit-Numbers-in-Hour-of-a-Day)\n", "4. [Count Permit Numbers by day](#Count-Permit-Numbers-by-day)\n", "5. [Create Rolling Avg for Daily Count](#Create-Rolling-Avg-for-Daily-Count)\n", "6. [Count Time Duration by Street](#Count-Time-Duration-by-Street)\n", "\n", "## [- Calculate Permit Time Duration by Time by Geo Unit](#Calculate-Permit-Time-Duration-by-Time-by-Geo-Unit)\n", "1. [Extract Time Related Information from Timeframe](#Extract-Time-Related-Information-from-Timeframe)\n", "2. [Obtain Geo Unit Information by Sptial Join](#Obtain-Geo-Unit-Information-by-Sptial-Join)\n", "3. [Sum Up Time Duration by Census Tract](#Sum-Up-Time-Duration-by-Census-Tract)\n", "4. [Create Pivot Table](#Create-Pivot-Table)\n", "\n", "## [- Data Parsing](#Data-Parsing)\n", "1. [Parsing the Film Studio List](#Parsing-the-Film-Studio-List)\n", "2. [Geocoding for Parsing Data](#Geocoding-for-Parsing-Data)\n", "\n" ] }, { "cell_type": "markdown", "id": "76ab159b", "metadata": {}, "source": [ "# Geocoding" ] }, { "cell_type": "markdown", "id": "37cc5cea", "metadata": {}, "source": [ "## Address Data Cleaning" ] }, { "cell_type": "code", "execution_count": 64, "id": "78f569c0", "metadata": { "scrolled": true }, "outputs": [], "source": [ "df_film= pd.read_csv(r'../data/Film_Permits 2018_present.csv')\n", "#df_film = pd.read_csv('https://data.cityofnewyork.us/api/views/tg4x-b46p/rows.csv?accessType=DOWNLOAD')\n", "#Uncomment the code above if you need to access the dataset without download it" ] }, { "cell_type": "code", "execution_count": 65, "id": "d069f1ad", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 [SHEEPSHEAD BAY ROAD between VOORHIES AVENUE a...\n", "1 [QUEENS PLAZA SOUTH between 21 STREET and 22 S...\n", "2 [WEST 51 STREET between 9 AVENUE and 10 AVENUE]\n", "3 [BEDFORD AVENUE between LEFFERTS AVENUE and LI...\n", "4 [WEST 43 STREET between AVENUE OF THE AMERIC...\n", " ... \n", "20159 [DEGRAW STREET between 3 AVENUE and DEAD END, ...\n", "20160 [COVERT STREET between WYCKOFF AVENUE and IRVI...\n", "20161 [BROADWAY between GRAND STREET and HOWARD STRE...\n", "20162 [35 STREET between 34 AVENUE and 35 AVENUE, ...\n", "20163 [WEST 48 STREET between 6 AVENUE and 7 AVENUE]\n", "Name: OFT_Text, Length: 20164, dtype: object" ] }, "execution_count": 65, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#divide the multiple address string into multiple lists\n", "df_film['OFT_Text'] = df_film['ParkingHeld'].str.split(',')\n", "df_film['OFT_Text'] " ] }, { "cell_type": "markdown", "id": "03b55992", "metadata": {}, "source": [ "## Create cache-like database" ] }, { "cell_type": "code", "execution_count": 66, "id": "15a982ea", "metadata": {}, "outputs": [], "source": [ "# create the cache-like database to store the result of query.\n", "# If the address has been queried, then it won't be query again and saves time. \n", "\n", "data = {}\n", "oft_lookup = {}\n", "def getOFT(url):\n", " data = oft_lookup.get(url)\n", " if url not in oft_lookup:\n", " r = requests.get(url)\n", " data = r.json()\n", " oft_lookup[url] = data \n", " return data " ] }, { "cell_type": "markdown", "id": "ae884d91", "metadata": {}, "source": [ "## Geocoding for street segment" ] }, { "cell_type": "code", "execution_count": 67, "id": "7bf81c0a", "metadata": {}, "outputs": [], "source": [ "segidlookup=[]\n", "\n", "def getGeom(row):\n", " boro = row['Borough']\n", " #print(boro)\n", " segids = []\n", " for oft in row['OFT_Text']:\n", " oft_1 = oft.strip()\n", " try:\n", " # split the address into on_street, from_street, to_street format, then the API can read\n", " on_street = oft_1.split('between')[0]\n", " from_street, to_street = oft_1.split('between')[1].split('and')\n", "\n", " # query from geocoding service API\n", " url = f'https://www.locationservice.nyc/locationserviceapi//api/Block?OnStreet={on_street}&CrossStreetOne={from_street}&CrossStreetTwo={to_street}&Borough={boro}&BlockType=ExtendedStretch&ExtendedStretchType=Blockface&'\n", " data = getOFT(url)\n", "\n", " # extract the SegementID from JSON format\n", " if 'BlockFaceList' in data:\n", " for i in data['BlockFaceList']:\n", " if 'SegmentID' in i:\n", " segids.append(i['SegmentID'])\n", " segidlookup.append({\n", " 'EventID': row['EventID'],\n", " 'SegmentID': i['SegmentID']\n", " })\n", " except:\n", "\n", " continue \n", " return segids\n", " \n", "df_film['segids'] = df_film[:50].apply(getGeom, axis = 1)\n", "#I just run the first 50 data to demonstrate bc the whold dataset takes a while. \n", "#If you hope to geocode the whole dataset, please remove [:50]" ] }, { "cell_type": "markdown", "id": "5328865a", "metadata": {}, "source": [ "## Get Geometry from LION" ] }, { "cell_type": "code", "execution_count": 68, "id": "72c1910d", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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EventIDSegmentID
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.........
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235 rows × 2 columns

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" ], "text/plain": [ " EventID SegmentID\n", "0 559223 0108149\n", "1 559223 0115148\n", "2 559223 0026080\n", "3 559223 0026083\n", "4 559223 0127321\n", ".. ... ...\n", "230 558434 0033164\n", "231 558434 0310049\n", "232 558745 0048512\n", "233 558745 0048509\n", "234 558215 0052376\n", "\n", "[235 rows x 2 columns]" ] }, "execution_count": 68, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#create the dataset with eventID and Segment ID\n", "df_segidlookup = pd.DataFrame(segidlookup)\n", "df_segidlookup" ] }, { "cell_type": "code", "execution_count": 69, "id": "32fa9375", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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SegmentIDStreetgeometry
00078126EAST 168 STREETLINESTRING (1010964.447 241812.261, 1011265.49...
10079796WEST 192 STREETLINESTRING (1011576.687 255023.583, 1011335.15...
20077356UNION AVENUELINESTRING (1011600.676 239639.743, 1011785.79...
30077356UNION AVENUELINESTRING (1011600.676 239639.743, 1011785.79...
40077356UNION AVENUELINESTRING (1011600.676 239639.743, 1011785.79...
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" ], "text/plain": [ " SegmentID Street \\\n", "0 0078126 EAST 168 STREET \n", "1 0079796 WEST 192 STREET \n", "2 0077356 UNION AVENUE \n", "3 0077356 UNION AVENUE \n", "4 0077356 UNION AVENUE \n", "\n", " geometry \n", "0 LINESTRING (1010964.447 241812.261, 1011265.49... \n", "1 LINESTRING (1011576.687 255023.583, 1011335.15... \n", "2 LINESTRING (1011600.676 239639.743, 1011785.79... \n", "3 LINESTRING (1011600.676 239639.743, 1011785.79... \n", "4 LINESTRING (1011600.676 239639.743, 1011785.79... " ] }, "execution_count": 69, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#import LION shapfile\n", "lion = gpd.read_file(\"../vector/lion_line\")\n", "lion_sel = lion[['SegmentID','Street','geometry']]\n", "lion_sel.head(5)" ] }, { "cell_type": "code", "execution_count": 70, "id": "68bff3d6", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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EventIDEventTypeStartDateTimeEndDateTimeEnteredOnEventAgencyParkingHeldBoroughCommunityBoard(s)PolicePrecinct(s)CategorySubCategoryNameCountryOFT_TextsegidsSegmentIDStreetgeometry
0559223Shooting Permit01/22/2021 10:00:00 AM01/23/2021 1:00:00 AM01/19/2021 1:13:21 PMMayor's Office of Film, Theatre & BroadcastingSHEEPSHEAD BAY ROAD between VOORHIES AVENUE an...Brooklyn1561TelevisionEpisodic seriesUnited States of America[SHEEPSHEAD BAY ROAD between VOORHIES AVENUE a...[0108149, 0115148, 0026080, 0026083, 0127321, ...0108149SHEEPSHEAD BAY ROADLINESTRING (997364.767 153166.254, 997613.031 ...
1559223Shooting Permit01/22/2021 10:00:00 AM01/23/2021 1:00:00 AM01/19/2021 1:13:21 PMMayor's Office of Film, Theatre & BroadcastingSHEEPSHEAD BAY ROAD between VOORHIES AVENUE an...Brooklyn1561TelevisionEpisodic seriesUnited States of America[SHEEPSHEAD BAY ROAD between VOORHIES AVENUE a...[0108149, 0115148, 0026080, 0026083, 0127321, ...0115148VOORHIES AVENUELINESTRING (997060.499 152673.840, 997307.372 ...
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" ], "text/plain": [ " EventID EventType StartDateTime EndDateTime \\\n", "0 559223 Shooting Permit 01/22/2021 10:00:00 AM 01/23/2021 1:00:00 AM \n", "1 559223 Shooting Permit 01/22/2021 10:00:00 AM 01/23/2021 1:00:00 AM \n", "\n", " EnteredOn EventAgency \\\n", "0 01/19/2021 1:13:21 PM Mayor's Office of Film, Theatre & Broadcasting \n", "1 01/19/2021 1:13:21 PM Mayor's Office of Film, Theatre & Broadcasting \n", "\n", " ParkingHeld Borough \\\n", "0 SHEEPSHEAD BAY ROAD between VOORHIES AVENUE an... Brooklyn \n", "1 SHEEPSHEAD BAY ROAD between VOORHIES AVENUE an... Brooklyn \n", "\n", " CommunityBoard(s) PolicePrecinct(s) Category SubCategoryName \\\n", "0 15 61 Television Episodic series \n", "1 15 61 Television Episodic series \n", "\n", " Country \\\n", "0 United States of America \n", "1 United States of America \n", "\n", " OFT_Text \\\n", "0 [SHEEPSHEAD BAY ROAD between VOORHIES AVENUE a... \n", "1 [SHEEPSHEAD BAY ROAD between VOORHIES AVENUE a... \n", "\n", " segids SegmentID \\\n", "0 [0108149, 0115148, 0026080, 0026083, 0127321, ... 0108149 \n", "1 [0108149, 0115148, 0026080, 0026083, 0127321, ... 0115148 \n", "\n", " Street geometry \n", "0 SHEEPSHEAD BAY ROAD LINESTRING (997364.767 153166.254, 997613.031 ... \n", "1 VOORHIES AVENUE LINESTRING (997060.499 152673.840, 997307.372 ... " ] }, "execution_count": 70, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#join LION to permit data\n", "df_film_seg = df_film.merge(df_segidlookup,how='left',on='EventID')\n", "df_film_lion = df_film_seg.merge(lion_sel,how='left',on='SegmentID')\n", "df_film_lion\n", "df_film_lion.head(2)" ] }, { "cell_type": "code", "execution_count": 71, "id": "c4d6cfdd", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.9871474123129752" ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Check the number/percentage of permits with no geometry\n", "(df_film_lion['geometry'].isnull().sum(axis = 0))/len(df_film_lion)" ] }, { "cell_type": "markdown", "id": "3cd2c4b4", "metadata": {}, "source": [ "## Create permit GeoDataFrame and Export it" ] }, { "cell_type": "code", "execution_count": 72, "id": "ed9d6bff", "metadata": {}, "outputs": [], "source": [ "#Turn permit dataframe to geodataframe\n", "gdf_film_lion = gpd.GeoDataFrame(df_film_lion, crs=\"EPSG:4326\").set_geometry('geometry')\n", "gdf_film_lion_output = gdf_film_lion.drop(columns=['OFT_Text','segids'])\n", "\n", "#Export the geodataframe to shapefile\n", "#gdf_film_lion_output.to_file('../output/film permit_city.shp') \n", "\n", "#Uncomment the code above if you need to download the shapefile just created" ] }, { "cell_type": "code", "execution_count": 118, "id": "a75d8ae0", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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EventIDEventTypeStartDateTimeEndDateTimeEnteredOnEventAgencyParkingHeldBoroughCommunityBoard(s)PolicePrecinct(s)CategorySubCategoryNameCountrySegmentIDStreetgeometry
0559223Shooting Permit01/22/2021 10:00:00 AM01/23/2021 1:00:00 AM01/19/2021 1:13:21 PMMayor's Office of Film, Theatre & BroadcastingSHEEPSHEAD BAY ROAD between VOORHIES AVENUE an...Brooklyn1561TelevisionEpisodic seriesUnited States of America0108149SHEEPSHEAD BAY ROADLINESTRING (997364.767 153166.254, 997613.031 ...
1559223Shooting Permit01/22/2021 10:00:00 AM01/23/2021 1:00:00 AM01/19/2021 1:13:21 PMMayor's Office of Film, Theatre & BroadcastingSHEEPSHEAD BAY ROAD between VOORHIES AVENUE an...Brooklyn1561TelevisionEpisodic seriesUnited States of America0115148VOORHIES AVENUELINESTRING (997060.499 152673.840, 997307.372 ...
2559223Shooting Permit01/22/2021 10:00:00 AM01/23/2021 1:00:00 AM01/19/2021 1:13:21 PMMayor's Office of Film, Theatre & BroadcastingSHEEPSHEAD BAY ROAD between VOORHIES AVENUE an...Brooklyn1561TelevisionEpisodic seriesUnited States of America0026080VOORHIES AVENUELINESTRING (997307.372 152707.114, 997613.031 ...
3559223Shooting Permit01/22/2021 10:00:00 AM01/23/2021 1:00:00 AM01/19/2021 1:13:21 PMMayor's Office of Film, Theatre & BroadcastingSHEEPSHEAD BAY ROAD between VOORHIES AVENUE an...Brooklyn1561TelevisionEpisodic seriesUnited States of America0026083VOORHIES AVENUELINESTRING (997613.031 152752.377, 997840.586 ...
4559223Shooting Permit01/22/2021 10:00:00 AM01/23/2021 1:00:00 AM01/19/2021 1:13:21 PMMayor's Office of Film, Theatre & BroadcastingSHEEPSHEAD BAY ROAD between VOORHIES AVENUE an...Brooklyn1561TelevisionEpisodic seriesUnited States of America0127321EAST 17 STREETLINESTRING (997380.797 154082.381, 997400.761 ...
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20380391005Shooting Permit01/04/2018 7:00:00 AM01/04/2018 11:00:00 PM01/03/2018 11:21:59 AMMayor's Office of Film, Theatre & BroadcastingDEGRAW STREET between 3 AVENUE and DEAD END, ...Brooklyn678TelevisionCable-episodicUnited States of AmericaNaNNaNNone
20381390906Shooting Permit01/04/2018 6:30:00 AM01/04/2018 9:00:00 PM01/02/2018 2:50:09 PMMayor's Office of Film, Theatre & BroadcastingCOVERT STREET between WYCKOFF AVENUE and IRVIN...Queens4, 5104, 83TelevisionEpisodic seriesUnited States of AmericaNaNNaNNone
20382390784Shooting Permit01/04/2018 6:00:00 AM01/04/2018 8:00:00 PM01/02/2018 7:41:45 AMMayor's Office of Film, Theatre & BroadcastingBROADWAY between GRAND STREET and HOWARD STREE...Manhattan21, 5WEBNot ApplicableUnited States of AmericaNaNNaNNone
20383391010Shooting Permit01/04/2018 6:00:00 AM01/04/2018 10:00:00 PM01/03/2018 11:31:29 AMMayor's Office of Film, Theatre & Broadcasting35 STREET between 34 AVENUE and 35 AVENUE, 35...Queens1114TelevisionCable-episodicUnited States of AmericaNaNNaNNone
20384390863Shooting Permit01/03/2018 3:00:00 AM01/03/2018 11:00:00 AM01/02/2018 12:47:16 PMMayor's Office of Film, Theatre & BroadcastingWEST 48 STREET between 6 AVENUE and 7 AVENUEManhattan518TelevisionNewsUnited States of AmericaNaNNaNNone
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20385 rows × 16 columns

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" ], "text/plain": [ " EventID EventType StartDateTime \\\n", "0 559223 Shooting Permit 01/22/2021 10:00:00 AM \n", "1 559223 Shooting Permit 01/22/2021 10:00:00 AM \n", "2 559223 Shooting Permit 01/22/2021 10:00:00 AM \n", "3 559223 Shooting Permit 01/22/2021 10:00:00 AM \n", "4 559223 Shooting Permit 01/22/2021 10:00:00 AM \n", "... ... ... ... \n", "20380 391005 Shooting Permit 01/04/2018 7:00:00 AM \n", "20381 390906 Shooting Permit 01/04/2018 6:30:00 AM \n", "20382 390784 Shooting Permit 01/04/2018 6:00:00 AM \n", "20383 391010 Shooting Permit 01/04/2018 6:00:00 AM \n", "20384 390863 Shooting Permit 01/03/2018 3:00:00 AM \n", "\n", " EndDateTime EnteredOn \\\n", "0 01/23/2021 1:00:00 AM 01/19/2021 1:13:21 PM \n", "1 01/23/2021 1:00:00 AM 01/19/2021 1:13:21 PM \n", "2 01/23/2021 1:00:00 AM 01/19/2021 1:13:21 PM \n", "3 01/23/2021 1:00:00 AM 01/19/2021 1:13:21 PM \n", "4 01/23/2021 1:00:00 AM 01/19/2021 1:13:21 PM \n", "... ... ... \n", "20380 01/04/2018 11:00:00 PM 01/03/2018 11:21:59 AM \n", "20381 01/04/2018 9:00:00 PM 01/02/2018 2:50:09 PM \n", "20382 01/04/2018 8:00:00 PM 01/02/2018 7:41:45 AM \n", "20383 01/04/2018 10:00:00 PM 01/03/2018 11:31:29 AM \n", "20384 01/03/2018 11:00:00 AM 01/02/2018 12:47:16 PM \n", "\n", " EventAgency \\\n", "0 Mayor's Office of Film, Theatre & Broadcasting \n", "1 Mayor's Office of Film, Theatre & Broadcasting \n", "2 Mayor's Office of Film, Theatre & Broadcasting \n", "3 Mayor's Office of Film, Theatre & Broadcasting \n", "4 Mayor's Office of Film, Theatre & Broadcasting \n", "... ... \n", "20380 Mayor's Office of Film, Theatre & Broadcasting \n", "20381 Mayor's Office of Film, Theatre & Broadcasting \n", "20382 Mayor's Office of Film, Theatre & Broadcasting \n", "20383 Mayor's Office of Film, Theatre & Broadcasting \n", "20384 Mayor's Office of Film, Theatre & Broadcasting \n", "\n", " ParkingHeld Borough \\\n", "0 SHEEPSHEAD BAY ROAD between VOORHIES AVENUE an... Brooklyn \n", "1 SHEEPSHEAD BAY ROAD between VOORHIES AVENUE an... Brooklyn \n", "2 SHEEPSHEAD BAY ROAD between VOORHIES AVENUE an... Brooklyn \n", "3 SHEEPSHEAD BAY ROAD between VOORHIES AVENUE an... Brooklyn \n", "4 SHEEPSHEAD BAY ROAD between VOORHIES AVENUE an... Brooklyn \n", "... ... ... \n", "20380 DEGRAW STREET between 3 AVENUE and DEAD END, ... Brooklyn \n", "20381 COVERT STREET between WYCKOFF AVENUE and IRVIN... Queens \n", "20382 BROADWAY between GRAND STREET and HOWARD STREE... Manhattan \n", "20383 35 STREET between 34 AVENUE and 35 AVENUE, 35... Queens \n", "20384 WEST 48 STREET between 6 AVENUE and 7 AVENUE Manhattan \n", "\n", " CommunityBoard(s) PolicePrecinct(s) Category SubCategoryName \\\n", "0 15 61 Television Episodic series \n", "1 15 61 Television Episodic series \n", "2 15 61 Television Episodic series \n", "3 15 61 Television Episodic series \n", "4 15 61 Television Episodic series \n", "... ... ... ... ... \n", "20380 6 78 Television Cable-episodic \n", "20381 4, 5 104, 83 Television Episodic series \n", "20382 2 1, 5 WEB Not Applicable \n", "20383 1 114 Television Cable-episodic \n", "20384 5 18 Television News \n", "\n", " Country SegmentID Street \\\n", "0 United States of America 0108149 SHEEPSHEAD BAY ROAD \n", "1 United States of America 0115148 VOORHIES AVENUE \n", "2 United States of America 0026080 VOORHIES AVENUE \n", "3 United States of America 0026083 VOORHIES AVENUE \n", "4 United States of America 0127321 EAST 17 STREET \n", "... ... ... ... \n", "20380 United States of America NaN NaN \n", "20381 United States of America NaN NaN \n", "20382 United States of America NaN NaN \n", "20383 United States of America NaN NaN \n", "20384 United States of America NaN NaN \n", "\n", " geometry \n", "0 LINESTRING (997364.767 153166.254, 997613.031 ... \n", "1 LINESTRING (997060.499 152673.840, 997307.372 ... \n", "2 LINESTRING (997307.372 152707.114, 997613.031 ... \n", "3 LINESTRING (997613.031 152752.377, 997840.586 ... \n", "4 LINESTRING (997380.797 154082.381, 997400.761 ... \n", "... ... \n", "20380 None \n", "20381 None \n", "20382 None \n", "20383 None \n", "20384 None \n", "\n", "[20385 rows x 16 columns]" ] }, "execution_count": 118, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gdf_film_lion_output" ] }, { "cell_type": "markdown", "id": "b365893e", "metadata": {}, "source": [ "# Count the Number of Permit by Geographical Unit" ] }, { "cell_type": "markdown", "id": "97ba992c", "metadata": {}, "source": [ "## Count Permit by Street Segments" ] }, { "cell_type": "code", "execution_count": 73, "id": "1a7884a3", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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SegmentIDcounts
7800449316
3400341976
8200450536
7300449256
9600523765
.........
1900324961
2000324971
2100325011
2300329281
15990017441
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160 rows × 2 columns

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" ], "text/plain": [ " SegmentID counts\n", "78 0044931 6\n", "34 0034197 6\n", "82 0045053 6\n", "73 0044925 6\n", "96 0052376 5\n", ".. ... ...\n", "19 0032496 1\n", "20 0032497 1\n", "21 0032501 1\n", "23 0032928 1\n", "159 9001744 1\n", "\n", "[160 rows x 2 columns]" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_seg_count = gdf_film_lion_output[['EventID','SegmentID']].groupby('SegmentID').count()\n", "df_seg_count = df_seg_count.rename(columns={'EventID':'counts'}).reset_index()\n", "df_seg_count.sort_values(by='counts', ascending=False)" ] }, { "cell_type": "code", "execution_count": 74, "id": "073f078c", "metadata": {}, "outputs": [], "source": [ "df_film_lion_count = df_seg_count.merge(lion_sel,how='left',on='SegmentID')\n", "df_film_lion_count = gpd.GeoDataFrame(df_film_lion_count, crs=\"EPSG:4326\").set_geometry('geometry')\n", "# df_film_lion_count.to_file('../output/permit_city_segment_count.shp') " ] }, { "cell_type": "code", "execution_count": 114, "id": "2fff7df9", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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SegmentIDCountsCDCBStreetgeometry
6359003568134933301MONITOR STREETLINESTRING (999919.040 205536.203, 999847.829 ...
6226003551522933301CALYER STREETLINESTRING (998361.937 205063.691, 998591.352 ...
6233003552022033301CALYER STREETLINESTRING (998591.352 205163.176, 998820.922 ...
6222003551120833301JEWEL STREETLINESTRING (998755.108 204787.219, 998591.352 ...
6220003550717333301DIAMOND STREETLINESTRING (998525.443 204687.439, 998361.937 ...
6358003567617033301NORTH HENRY STREETLINESTRING (999661.937 205507.703, 999600.658 ...
10630004850915037304COVERT STREETLINESTRING (1010582.250 192025.794, 1010582.25...
10628004850915034304COVERT STREETLINESTRING (1010582.250 192025.795, 1010582.25...
10629004850915034405COVERT STREETLINESTRING (1010582.250 192025.795, 1010809.74...
6047003502314933301EAGLE STREETLINESTRING (995324.180 206940.246, 995776.604 ...
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" ], "text/plain": [ " SegmentID Counts CD CB Street \\\n", "6359 0035681 349 33 301 MONITOR STREET \n", "6226 0035515 229 33 301 CALYER STREET \n", "6233 0035520 220 33 301 CALYER STREET \n", "6222 0035511 208 33 301 JEWEL STREET \n", "6220 0035507 173 33 301 DIAMOND STREET \n", "6358 0035676 170 33 301 NORTH HENRY STREET \n", "10630 0048509 150 37 304 COVERT STREET \n", "10628 0048509 150 34 304 COVERT STREET \n", "10629 0048509 150 34 405 COVERT STREET \n", "6047 0035023 149 33 301 EAGLE STREET \n", "\n", " geometry \n", "6359 LINESTRING (999919.040 205536.203, 999847.829 ... \n", "6226 LINESTRING (998361.937 205063.691, 998591.352 ... \n", "6233 LINESTRING (998591.352 205163.176, 998820.922 ... \n", "6222 LINESTRING (998755.108 204787.219, 998591.352 ... \n", "6220 LINESTRING (998525.443 204687.439, 998361.937 ... \n", "6358 LINESTRING (999661.937 205507.703, 999600.658 ... \n", "10630 LINESTRING (1010582.250 192025.794, 1010582.25... \n", "10628 LINESTRING (1010582.250 192025.795, 1010582.25... \n", "10629 LINESTRING (1010582.250 192025.795, 1010809.74... \n", "6047 LINESTRING (995324.180 206940.246, 995776.604 ... " ] }, "execution_count": 114, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_film_lion_count = df_film_lion_count.sort_values('Counts',ascending=False)\n", "df_film_lion_count.head(10)" ] }, { "cell_type": "code", "execution_count": 122, "id": "0d978674", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Make this Notebook Trusted to load map: File -> Trust Notebook
" ], "text/plain": [ "" ] }, "execution_count": 122, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#A quick way to visualize the segement and see the density through opcacity settings \n", "df_film_lion_count[pd.notna(df_film_lion_count['geometry'])][\n", " [col for col in list(df_film_lion_count) if col not in ('StartDateTime')]\n", "].explore(\n", " tiles=\"CartoDB positron\",\n", " style_kwds={'opacity':0.02})" ] }, { "cell_type": "markdown", "id": "7d1e5cde", "metadata": {}, "source": [ "## Count Permit by Census Tract" ] }, { "cell_type": "code", "execution_count": 77, "id": "fae0b45c", "metadata": {}, "outputs": [], "source": [ "data = gpd.read_file(\"../output/film permit_city.shp\" )" ] }, { "cell_type": "code", "execution_count": 78, "id": "04eb3b32", "metadata": {}, "outputs": [], "source": [ "data_sel = data[['EventID','StartDateT','EndDateTim','SegmentID','geometry']] " ] }, { "cell_type": "code", "execution_count": 79, "id": "93eb3889", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "7687\n", "0.17144322769141557\n" ] } ], "source": [ "# See how many duplicate data in the dataset\n", "print(len(data_sel[data_sel.duplicated()==True]))\n", "print(len(data_sel[data_sel.duplicated()==True])/len(data_sel))" ] }, { "cell_type": "code", "execution_count": 80, "id": "199738b2", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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EventIDStartDateTEndDateTimSegmentIDgeometry
062832703/08/2022 07:00:00 AM03/08/2022 07:00:00 PM0065898LINESTRING (1000675.780 203773.602, 1000590.62...
262935103/08/2022 07:00:00 AM03/08/2022 10:00:00 PM0048509LINESTRING (1010582.250 192025.794, 1010809.74...
362931903/08/2022 07:00:00 AM03/08/2022 09:00:00 PM0044431LINESTRING (1002265.974 195997.473, 1002202.52...
462931903/08/2022 07:00:00 AM03/08/2022 09:00:00 PM0044457LINESTRING (1002202.526 196249.592, 1002715.21...
562931903/08/2022 07:00:00 AM03/08/2022 09:00:00 PM0044453LINESTRING (1002022.559 196965.059, 1002571.01...
..................
4483162394902/04/2022 08:00:00 AM02/04/2022 09:30:00 PM0105864LINESTRING (982584.908 196291.744, 982718.819 ...
4483262394902/04/2022 08:00:00 AM02/04/2022 09:30:00 PM0023296LINESTRING (982183.843 196510.021, 982273.246 ...
4483362394902/04/2022 08:00:00 AM02/04/2022 09:30:00 PM0023304LINESTRING (982273.246 196628.042, 982369.951 ...
4483462394902/04/2022 08:00:00 AM02/04/2022 09:30:00 PM0023303None
4483562394902/04/2022 08:00:00 AM02/04/2022 09:30:00 PM0023182LINESTRING (981806.626 196495.926, 981736.245 ...
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37150 rows × 5 columns

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" ], "text/plain": [ " EventID StartDateT EndDateTim SegmentID \\\n", "0 628327 03/08/2022 07:00:00 AM 03/08/2022 07:00:00 PM 0065898 \n", "2 629351 03/08/2022 07:00:00 AM 03/08/2022 10:00:00 PM 0048509 \n", "3 629319 03/08/2022 07:00:00 AM 03/08/2022 09:00:00 PM 0044431 \n", "4 629319 03/08/2022 07:00:00 AM 03/08/2022 09:00:00 PM 0044457 \n", "5 629319 03/08/2022 07:00:00 AM 03/08/2022 09:00:00 PM 0044453 \n", "... ... ... ... ... \n", "44831 623949 02/04/2022 08:00:00 AM 02/04/2022 09:30:00 PM 0105864 \n", "44832 623949 02/04/2022 08:00:00 AM 02/04/2022 09:30:00 PM 0023296 \n", "44833 623949 02/04/2022 08:00:00 AM 02/04/2022 09:30:00 PM 0023304 \n", "44834 623949 02/04/2022 08:00:00 AM 02/04/2022 09:30:00 PM 0023303 \n", "44835 623949 02/04/2022 08:00:00 AM 02/04/2022 09:30:00 PM 0023182 \n", "\n", " geometry \n", "0 LINESTRING (1000675.780 203773.602, 1000590.62... \n", "2 LINESTRING (1010582.250 192025.794, 1010809.74... \n", "3 LINESTRING (1002265.974 195997.473, 1002202.52... \n", "4 LINESTRING (1002202.526 196249.592, 1002715.21... \n", "5 LINESTRING (1002022.559 196965.059, 1002571.01... \n", "... ... \n", "44831 LINESTRING (982584.908 196291.744, 982718.819 ... \n", "44832 LINESTRING (982183.843 196510.021, 982273.246 ... \n", "44833 LINESTRING (982273.246 196628.042, 982369.951 ... \n", "44834 None \n", "44835 LINESTRING (981806.626 196495.926, 981736.245 ... \n", "\n", "[37150 rows x 5 columns]" ] }, "execution_count": 80, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# eliminate the duplicate data\n", "data_sel = data_sel.drop_duplicates()\n", "data_sel" ] }, { "cell_type": "code", "execution_count": 81, "id": "5d17a49d", "metadata": {}, "outputs": [], "source": [ "#Since the boundaries of census tract are on the central line of the street, the permit segments need to be buffered.\n", "data_sel_buffer=data_sel\n", "data_sel_buffer['geometry']= data_sel.buffer(3,cap_style=2)" ] }, { "cell_type": "code", "execution_count": 82, "id": "2e75e081", "metadata": { "scrolled": true }, "outputs": [], "source": [ "#import census tract shapefile\n", "ct = gpd.read_file(\"../vector/2020 Census Tract_NYC\")\n", "ct_sel = ct[['BoroCT2020','NTAName','GEOID','geometry']]\n", "\n", "# Join the census tract information to permit data\n", "ct_data = ct_sel.sjoin(data_sel_buffer, how=\"left\")" ] }, { "cell_type": "code", "execution_count": 83, "id": "464af193", "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/html": [ "
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BoroCT2020NTANameGEOIDgeometryCounts
01000100The Battery-Governors Island-Ellis Island-Libe...36061000100MULTIPOLYGON (((972081.788 190733.467, 972184....0
11000201Chinatown-Two Bridges36061000201POLYGON ((988548.218 197770.375, 987978.808 19...8
21000202Lower East Side36061000202MULTIPOLYGON (((989137.110 196325.439, 989113....31
31000500The Battery-Governors Island-Ellis Island-Libe...36061000500MULTIPOLYGON (((981219.056 188655.316, 980940....0
41000600Chinatown-Two Bridges36061000600POLYGON ((986961.185 199553.643, 987206.139 19...95
..................
23205030302Mariner's Harbor-Arlington-Graniteville36085030302POLYGON ((939696.662 167578.833, 939768.394 16...0
23215031901Mariner's Harbor-Arlington-Graniteville36085031901POLYGON ((939696.662 167578.833, 939508.024 16...0
23225031902Mariner's Harbor-Arlington-Graniteville36085031902POLYGON ((939747.491 171919.373, 939778.967 17...5
23235032300Mariner's Harbor-Arlington-Graniteville36085032300POLYGON ((936740.120 173125.853, 936712.951 17...0
23245990100Hoffman & Swinburne Islands36085990100MULTIPOLYGON (((970217.022 145643.332, 970227....0
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2325 rows × 5 columns

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" ], "text/plain": [ " BoroCT2020 NTAName \\\n", "0 1000100 The Battery-Governors Island-Ellis Island-Libe... \n", "1 1000201 Chinatown-Two Bridges \n", "2 1000202 Lower East Side \n", "3 1000500 The Battery-Governors Island-Ellis Island-Libe... \n", "4 1000600 Chinatown-Two Bridges \n", "... ... ... \n", "2320 5030302 Mariner's Harbor-Arlington-Graniteville \n", "2321 5031901 Mariner's Harbor-Arlington-Graniteville \n", "2322 5031902 Mariner's Harbor-Arlington-Graniteville \n", "2323 5032300 Mariner's Harbor-Arlington-Graniteville \n", "2324 5990100 Hoffman & Swinburne Islands \n", "\n", " GEOID geometry Counts \n", "0 36061000100 MULTIPOLYGON (((972081.788 190733.467, 972184.... 0 \n", "1 36061000201 POLYGON ((988548.218 197770.375, 987978.808 19... 8 \n", "2 36061000202 MULTIPOLYGON (((989137.110 196325.439, 989113.... 31 \n", "3 36061000500 MULTIPOLYGON (((981219.056 188655.316, 980940.... 0 \n", "4 36061000600 POLYGON ((986961.185 199553.643, 987206.139 19... 95 \n", "... ... ... ... \n", "2320 36085030302 POLYGON ((939696.662 167578.833, 939768.394 16... 0 \n", "2321 36085031901 POLYGON ((939696.662 167578.833, 939508.024 16... 0 \n", "2322 36085031902 POLYGON ((939747.491 171919.373, 939778.967 17... 5 \n", "2323 36085032300 POLYGON ((936740.120 173125.853, 936712.951 17... 0 \n", "2324 36085990100 MULTIPOLYGON (((970217.022 145643.332, 970227.... 0 \n", "\n", "[2325 rows x 5 columns]" ] }, "execution_count": 83, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# count the number of permits in the CT\n", "ct_data_count = ct_data[['BoroCT2020','SegmentID']].groupby(by=['BoroCT2020']).count()\n", "ct_data_count = ct_data_count.rename(columns={\"SegmentID\":\"Counts\"})\n", "\n", "# join the permit number table back to the CT shapefile\n", "ct_count = pd.merge(ct_sel, ct_data_count, how=\"left\", on=[\"BoroCT2020\"])\n", "ct_count" ] }, { "cell_type": "code", "execution_count": 84, "id": "b15bd7d7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "\n", "Name: NAD83 / New York Long Island (ftUS)\n", "Axis Info [cartesian]:\n", "- [east]: Easting (US survey foot)\n", "- [north]: Northing (US survey foot)\n", "Area of Use:\n", "- undefined\n", "Coordinate Operation:\n", "- name: unnamed\n", "- method: Lambert Conic Conformal (2SP)\n", "Datum: North American Datum 1983\n", "- Ellipsoid: GRS 1980\n", "- Prime Meridian: Greenwich" ] }, "execution_count": 84, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Find out the unit\n", "ct_count.crs" ] }, { "cell_type": "code", "execution_count": 85, "id": "5a4eb3d8", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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BoroCT2020NTANameGEOIDgeometryCountsarea_milecount_per_mile
01000100The Battery-Governors Island-Ellis Island-Libe...36061000100MULTIPOLYGON (((972081.788 190733.467, 972184....00.0661550.000000
11000201Chinatown-Two Bridges36061000201POLYGON ((988548.218 197770.375, 987978.808 19...80.034875229.391366
21000202Lower East Side36061000202MULTIPOLYGON (((989137.110 196325.439, 989113....310.118907260.708959
31000500The Battery-Governors Island-Ellis Island-Libe...36061000500MULTIPOLYGON (((981219.056 188655.316, 980940....00.3257960.000000
41000600Chinatown-Two Bridges36061000600POLYGON ((986961.185 199553.643, 987206.139 19...950.0926361025.513854
........................
23205030302Mariner's Harbor-Arlington-Graniteville36085030302POLYGON ((939696.662 167578.833, 939768.394 16...00.3510830.000000
23215031901Mariner's Harbor-Arlington-Graniteville36085031901POLYGON ((939696.662 167578.833, 939508.024 16...00.1480130.000000
23225031902Mariner's Harbor-Arlington-Graniteville36085031902POLYGON ((939747.491 171919.373, 939778.967 17...50.25125819.899850
23235032300Mariner's Harbor-Arlington-Graniteville36085032300POLYGON ((936740.120 173125.853, 936712.951 17...01.4930050.000000
23245990100Hoffman & Swinburne Islands36085990100MULTIPOLYGON (((970217.022 145643.332, 970227....00.0228010.000000
\n", "

2325 rows × 7 columns

\n", "
" ], "text/plain": [ " BoroCT2020 NTAName \\\n", "0 1000100 The Battery-Governors Island-Ellis Island-Libe... \n", "1 1000201 Chinatown-Two Bridges \n", "2 1000202 Lower East Side \n", "3 1000500 The Battery-Governors Island-Ellis Island-Libe... \n", "4 1000600 Chinatown-Two Bridges \n", "... ... ... \n", "2320 5030302 Mariner's Harbor-Arlington-Graniteville \n", "2321 5031901 Mariner's Harbor-Arlington-Graniteville \n", "2322 5031902 Mariner's Harbor-Arlington-Graniteville \n", "2323 5032300 Mariner's Harbor-Arlington-Graniteville \n", "2324 5990100 Hoffman & Swinburne Islands \n", "\n", " GEOID geometry Counts \\\n", "0 36061000100 MULTIPOLYGON (((972081.788 190733.467, 972184.... 0 \n", "1 36061000201 POLYGON ((988548.218 197770.375, 987978.808 19... 8 \n", "2 36061000202 MULTIPOLYGON (((989137.110 196325.439, 989113.... 31 \n", "3 36061000500 MULTIPOLYGON (((981219.056 188655.316, 980940.... 0 \n", "4 36061000600 POLYGON ((986961.185 199553.643, 987206.139 19... 95 \n", "... ... ... ... \n", "2320 36085030302 POLYGON ((939696.662 167578.833, 939768.394 16... 0 \n", "2321 36085031901 POLYGON ((939696.662 167578.833, 939508.024 16... 0 \n", "2322 36085031902 POLYGON ((939747.491 171919.373, 939778.967 17... 5 \n", "2323 36085032300 POLYGON ((936740.120 173125.853, 936712.951 17... 0 \n", "2324 36085990100 MULTIPOLYGON (((970217.022 145643.332, 970227.... 0 \n", "\n", " area_mile count_per_mile \n", "0 0.066155 0.000000 \n", "1 0.034875 229.391366 \n", "2 0.118907 260.708959 \n", "3 0.325796 0.000000 \n", "4 0.092636 1025.513854 \n", "... ... ... \n", "2320 0.351083 0.000000 \n", "2321 0.148013 0.000000 \n", "2322 0.251258 19.899850 \n", "2323 1.493005 0.000000 \n", "2324 0.022801 0.000000 \n", "\n", "[2325 rows x 7 columns]" ] }, "execution_count": 85, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#calculate the area to get the density of the counts\n", "ct_count['area_mile'] = ct_count.area/2.788e+7\n", "ct_count['count_per_mile']= ct_count['Counts']/ct_count['area_mile']\n", "ct_count" ] }, { "cell_type": "code", "execution_count": 86, "id": "20941754", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 86, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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49s2KoijrRIWMoiiKculQ1eTvKQfd+R/ZFntngghAKYthAld+dq6hLOsU1Ad7fgI3VDOIRMSUm/zzMEN6dkJnMpACcad63dT11aTO1cwYJ2giuTeKomwYBC2rAlTIKIqiKJcKzKOFzFrKos5opuE09x1GWTbGmEKSCUB2D4ilqT+FE2bISsy8E5p192QcW2owYKJsXWsB23X9OZFmaRRF2XBUyCiKoiiXBmyHC5m1WCqbYNA9zIQbZ8mcxq5fZ4ToGkVfqBgxDQgCKQez6fDr9BkUE4gYsfGY4qXMEDHoszRkRGiVszSpMwwIQjUNUJQx0WZ/FTKKoijKpcKo/hhjSsLBDC8TK4sMP29lw6rKWPa5HiET1rJsTBC5HhYGYCXjFNSAANVixoSZGQAg62KE3XTlqa9yzmwlQ1PO0viStRiavVEUZWxUyCiKoiiXBsPcyqoIRmRo8s3zQQT02jKHZSNZr2lA/tzKpXJhBCSuv8W4zEeSoK/AysLJZ2RMKGVow/poysf3Amo1fJYGlGVp/LJ+j00tK3NTUaMoSgkVMoqiKMrFD9vRGZl8zB/WsuGQVQMoTeCCagI6C0Cttf4ysGGkyfiCwJPPxoT1wW0pV7JlE6dfnH0yKNt2ADvCxMA4Jzfr7ksAuZnuWESZACH3n6RXEiVcfZ+tBazL0qioUZQCBII53X66iwAVMoqiKMrFzygRA7jsRSAzUpKeZAjSBAPDH4MIaJ8qbnum3Mpojb0ieTFGRsQMs7yRpkPugZXrNaHLvFCFAAoBOPHh58+QyfbL1hkDpEBghruaeYKaCBNv3zyOKCmImsD10oQ5UakoyqWIChlFURTl4mfVjIl1s1e84xa7rEwEcOhEgK2YybLGrMmaWONwSfaWy6GIiXyAH9aHZ1yCQOa/9H92/Sn9LBYDICCOAfj+m9qgPTWQlYSV71OetJc5qZlI7jFYjjVOSZ11gz7RzSyeVdQolyDa7K9CRlEURbnY8b0iYQQkKQa68o0L2hMnBMhk/TSJFylG+mBWStmYqL623ps1sYYoJcjZHlMAUOkaCSNK1UqZn37vigHqTaCzOLhJ2gPqreosT1CT7Mlq+MxKX3SRK4/L9e30z98UXc68A523eEbX7c+5oamoUZRLAhUyiqIoysWNTbJMSxCVysBcEG/CXHN7RalYYICVioCeXEaAIFmcjRQ1vIbG+X7QXnZfg+wjzjmZETmB5npZqvpTAHEgi4dkcYxZe+lb/3xcWViSyD335x6EckqB+yyMcSLTlaCVPxMTyiNpRk7YOItp30djQnU/U5SLGBUyiqIoysVNPmtABoW+l8AFvfmyq3LMG4RA3MZAliBqyHb9QLyWBdHeonm9ZWdBJJmKcEw3tHzWaaDHJXdB/j0vwJiA3hAhEzXcdZcwruE+yR0ncOHESIvrQO5R0gU4zu5zWMvEij8uOaMFO2KWTd+wILd/+KGnqcsMxe4+avmZcvGhv8kqZBRFUZSLGeYs4O67ejkHLB/QlntH8q0pJnAzT+pAFAK95SzjkZ8nE9RyAyTdMt8vQoFz9sL4wmatLmj5+S35Jn9OqzMu7Jv8IyBqup9z94G5+hz6s2XcPhvTck0+cxM1ilmpvHhISxmYsC5Co3x+aW90j80whtlHkzMW8DNyVNQoykWDChlFURTl4qXfrI5csG8lyA0CyHTIEvmG86QnQoRd8F5rSNM7p1LqRKi2aU7jnLjJ7a8vbGi4JXRQq86EDCOoAWlOhOQFSVR3PSRV25WyN1EDALmyrhqANGvK98dBWpwnY5OcgEPmWEaB60nquYGcVXC1YLFApvw2AC/aABEvzCK8vJmDihrlAoSgzf6AChlFURTlYsYH6pW9JsN6PDjbxrr5KF4EpakEvmFDguMgGN5jUhWIWwvAZsF1fUqGTYLkPeaiMDhdGMP7bMqBu8+kUCDnaBOg1sx6UzgZzHpUZm3cPJlh1sq+F2bofbNZFmWj6Tue+fPwooaBxoSKGUW5wFAhoyiKolycsM0F8OUA1Tgb4DSzEi431zOAKKqeaO8dzmBQTFsgK7/yzeb9BnRyxyEpUQOAbs5AwARAbSLLxphw9VK0IMqyMUFYHDYZ5AZk9pv8fWZiRJN/EAKJy6x49zLYatGSdKU0reCYFgwvjRs2ZLQM0YYlZIaSz4ZFDRUxinIBsqrlCBHtJqJPEdFdRHQnEb0+995PEdE9bvlv5pb/PBE9QET3EtHLcstf7pY9QERvzC2/iohudsv/iohqbnnd/fyAe3/Phl25oiiKcnGT5ALV/nBLhzGZQCGTlZO5YJbDGri9AI5jcDkzEISQuTO1QaER1p1Acr0fNoFkWxK3LJb3q5r4bQp0FrL3KJBjhFHRejhPPvimQErJgsgtyJ23Px9jZJ8mwlC4VO4WBKsMFM31vATDRIwzFxhHxJTP/Www7P4qynmMAZ3T1/nAON6JCYA3MPP1AJ4N4CeI6Hoi+hYArwLwFGa+AcBvAwARXQ/gNQBuAPByAH9ERAERBQDeCuAVAK4H8H1uXQD4DQC/w8zXAJgH8Dq3/HUA5t3y33HrKYqiKMrq2LzIsBLEA5kjWP69IIL0hyRgGKC9CJw8BBx9FIh7WdsMuaDeBCKUgiAnHIZlOSr6QEY9/e8uZdbCvbYMq0wqxE/ZOcw3tKdxtcgCpHzNC6wwyp27I6gNihbGKu5p7LIy8RARE8i1jGt04Ev6zhZhLXNdA1y5WW/thguKopx1VhUyzHyQmb/qvl8EcDeAXQD+E4BfZ+aue++I2+RVAN7HzF1mfhjAAwCe5V4PMPNDzNwD8D4AryIiAvBCAH/rtn83gO/I7evd7vu/BfAit76iKIqiDMemgwG5MVJC1Cs10ic9WRZFYCLJipw4kL0/fwBYPiGZmcD1jxjXzM6c9XIYg7EzCTaV/hNAREKtVXw/bgPdZdeA78nt27hsjScoDeYkGp5lCGpy/MQNvjSh7IuCwWwMIILQJlL2lg8bogZQn5D+IcJwcRbQ2kTB2fwrH9Qki5UnTeT+lzNxaSL37Ez07ijKGiGS5wPn8nU+sKZpVq6062kAbgbweADf5Eq+PkNEz3Sr7QKwN7fZPrds2PLNAE4y9//19MsL+3Lvn3Lrl8/rx4joFiK65ejRo2u5JEVRFOVipCozYtNV3MAIlMQl8eBYOQWsLILjbtbn4ftPvIBY8192k/XTJD0gbIqgiZrOQtlKdqbekvWY3QyXQALq7nKWZSoc2g28tKlkN8JaSdSUAnE/MNSMKCEjgmSWXKakPlnsQeqLKELBCS6slU/u/ILTbLBnmrgMWNsN7SyFSESDyxRFOaeM3exPRJMA3g/gZ5h5gYhCAJsg5WbPBPDXRPS4M3Oao2HmtwN4OwDcdNNN+qhEURTlUsamYGtBRLlsSTii9AkADLjbdUJhyCrNSVBY6vPwDl/A2p/UGwNQlM1gsXGxCi1qAaFr4GcGKJR1vHjwc1hgigIkiLLm+3w5l5+dM6xPZTW9kcaSRTLh4Owd63uGXNldmuZ6Yoxc67jlYlXmCmcKL0ysBXor2WfI7M4jLQ4b1aIQRTmvGEvIEFEEETHvZeYPuMX7AHyApQvyS0RkAWwBsB/A7tzml7tlGLL8OIBZIgpd1iW/vt/XPiecZtz6iqIoilKNCSSLAUjwnSbSZzKy7Mv1ySydEFexuZ1SUuaZ3OyC2FIgm6ZZ1qEc3K8KZ9mAKrwLGeAcz9jNPnFN9aAsS1AQJ0OuM+25EjJyfSg5K2KfZQobmWNZFWTkOoNIjpMXUP4c0iTLNAEQdRbklvHwzM8wq+gzhXHlgXkRA8h96a0U1039YNQaFOV8QPOD47mWEYB3ALibmd+Se+uDAL7FrfN4ADUAxwB8GMBrnOPYVQCuBfAlAF8GcK1zKKtBDAE+7ITQpwB8t9vvawF8yH3/Yfcz3Puf5AH7GEVRFEUBOE36DmNELsjvlzaN/tPBYV0a/AERDL02sGlntkJrClTZQO9mv6xVxPjsxbBypfpE9TwZomymjU1kH8wSXAfRKpbNRgwK/AwbX3rme2aYR2ccwka2by8Qg3LZGtCfk5M/D5tmbm6jjnFWEx4kYjEv6EZhrdx7PotGBIqijGScjMxzAfwQgDuI6Fa37E0A3gngnUT0dQA9AK91IuNOIvprAHdBHM9+gln+1SWinwTwMUgB7TuZ+U63v/8K4H1E9MsAvgYRTnBf/4yIHgBwAiJ+FEVRFKUAWws+fgBUa8AuHZfMQWsGNLMNVGtIABoPig02LrOxdKL4BpFkceZ2AuBMGOXpl3atEZ/98JmUoA7YfO8ODe43iIoOZTBA2nF2z7GUqKWxlJ95kVQOuMPILTPol6PlxUbUqLxH4lg2ZFBn6i2d60UxZ0ylWRuA0ZrybD6qjHx2KpQMXndl9W2CUARNYFYXfoqinHFWFTLM/HkMf0byg0O2+RUAv1Kx/CMAPlKx/CGIq1l5eQfA96x2joqiKMqlC/c64EMPAisLxTh48QTQmASak9JEb4vBOBvXNF92McuTJrI9GP0iBt+In3TF8aoq+B+F7xUxIWB7GIze/bEqlEAQubk3fgZO6c8zJ/IIMYggf+I515CfFp3N4GbKsHWOXN7IoCNZFhPKqaxW6lXVM8M82BfjMzfs+mkYEl3kh3SerbIyExQtpe04CorcwE/Xe8WpCEdFOUeojF5Ds7+iKIqinG+wTfsippIgBNsUIAI1J7NMBUMC0e4oFzNIIG5IAlYf4PugPaytvTE93wPiK6VtIr0a+SxMXqD4bAcFWQM6cXEfA+edK4EK3EDNAcFlMxHRn6PTE9e0uAewm0ezWiWVdzzLl2eRcy8zxrm5GSeiWO6pTWUbcoLJJkXjhDNNEBbv8TjlYrVmVgbIOWGrKMo5Q4WMoiiKcuGyND9cxNQakjFZPgU+vh/YtAOYnIMfR0YAuNaUErJeG+gsYyA70miBrBX3MCAL1imQ4NcOaVofhg+eB7IPIzICNnEBtOuPCWu5gZ4V23lh4Elj2ZaMmARU9YT0ndBqTjT53Y8pLMpCBkayTWwzbeJL6oKaXIdlWccP5Twrj5fdfJ2g1LDPqwjSqC6leR6byH0ehnW2zlp6ppwhCIDR3y8VMoqiKMqFCdsUnB9cWcbPUpmYBk4dBi8cA03OgTtL4PlD8n5zEjS1CZicA1rTIoo6S9k+ggj9hv48QeBcvnKlWePgg/1+WZmnXCIG10hvcqLF9bfke2Wq9E85uDFBVlKXuON7B7GyPXPZmjlNxnMSKwu6qqZ4vy92A0X99fvTHdeeeb2QARoT6Lu9eaqGp5a388LH/x4E0fD1/XoaYyrKGUeFjKIoinJhsjjvsihDsCn4xEHQlstBW64AnzgAXjgOHHwAfQWwfBJ8bB8wMQvatFMEjQlkACaQPYWv6gEBcv0d5YxEBVVlZZ58c7zvw0h7QIpMTKWpZIbiEfbIJhy0dCYD2VH+/BNXNhdm2Z5hzmvjPPW1VoL9KkOA/jEtkNosM5PnbNgum2Dw3jAPn6vjCSKXQXPijK1kaEZuo+GVopwN9P80RVEU5YKDrQWfPLT6isf3gbvLEoQmXdDkLHh2K3DySHG95ZPA5l2gNAG3pkUsRI0suA+cE1h/+GUpe2DMeBa+obM6LgftoWuYjxoYcAjz60Z1oFfR55KHUHI3G4YTJzZxuzDVWRogc1gblTEpi5hR2qfvnObvJdY+THQ95LMo/jNI4jHK53IZt6QnJYuKch6gST/tVFMURVEuRJZPZnNfVmNpHmgvgC67GugsgYIaaOfjgdZsts7Ox4Mg82AIAFpzUoHk3097bgglXFnYGpr8yWQZm6SX9dvIzuTpfdyV2TE2Gb5va1EQLnlx4XVAmpT2P/SkyjvP5rwEkZu/4wjrq5d9pQkKIcVIXUIoXAdBrnu1cq3TJcj1OXWW5J6P0wOUxEB3OXN9643IiFWRJuOXHiqKsiY0I6MoiqJccPDi8bVvFHeB5jTQXgC6S6CJGfDMZoBCUOhEigvYKQzFxjiPj/2rSq2qAveghv7TfHY7CGuSVQki59xlsiB3VFAdRIOlX14g+ZML6+gLhPz3CLK/9uyGg/pG9KpyrjSW7b2wGKvhv1RalsYjsjg5wRMEuQzSep8vU65creqDMJJF8bbJo0rzRuG3W2uDtQm06V85I+hvlQoZRVEU5QKD4x6wsEYhU2tJQL58QjIxnSXAxiCEQBBkAYG35R31BN0YgEtBeiFQdVmWtOd6UJzYyM9MSVPXF5ITJ0OjktzcmAIlIRLmhmbme04CZN/nHc3K/SJ5bJxdX1gftIfO08+klETEMDvl1DuVlTIz/azOWpv+XWN9rSn3t2w8UG9k57haY/84+MzcuKiIUZQzhpaWKYqiKBcUHHewpmeRrRnQ3DagsyjB+cqiDMqMGkCtWYwz+w5aFcLBWgmI4zhrlA9rg83rxmSZCZu4zElYmjljXdYiFxRXJhMCmcNSFXyzO5Z/scvQ+Ob91Rj3FiZdOV+TL/1ywzRNKNfhX2acIN/14RBK12XHLIurwM/IqTWL5xBERZvk0zUUiBrFQZqKopxTNCOjKIqiXFgsLwAzW4BTR4avU2sCU5uAqAFKe0VLZRuLzXJzys37yEX0/XKqspBxIoEZ/YyBTQBLkn3xYsYPr/T4IZbGDr7nxYEXTWXxFNZkMOXQDAW7ifROAYWciaX8X/dRmZ5h+y6LKhNkM2CIxca5yu0r7942srwMbn+5wZT5IZ5rJYyA3op87mFdju0/2/7+7eoOZeV9UujuH43nVqYoZxHN9amQURRFUS5AeN+DoG27pN/FE0TA3HbIrJUOqLssgfWA0xdEhIQ1afDPQ06s5LMnQU3W90FwWHdWwrErIcsNk/TLfNmXn+FCrselLGbyh2c4IcDOAGC1Xo5y0F/eWcXiscqcTHEbk5tdkzrxYahaAxVEixN5doR4KGeaosgdm9dmqODPL4lFbESNTIAAa+uNMcFgZgc483NuFEVZMypkFEVRlAuLpZPAgQfAUQ00u0lmyUQNYGYbqLNQXLe9AMztlCCU4NyqOsDEpkERE9ZzQbsffFgxG4UTaZqvnEviZqUAck5xJ8vWkGvsz5eipXE26Z4AyfykQDJG0H1GHYtzO6cAQK4ky4uPqnkwNgHCBvomB+kagn8KcnbIZn2zZWwCdBP5LPM2yVWW18OoEjGAK9lTlPMH0v4rFTKKoijKhQMzg48flB8evQscPQ00swloTAyKmMlNIhLiTv8PPteaQH0KCAwGlIAfflloFi+v44L3IJJA3WcNfB9GEGTZHJtmJVmAy87EUpZVFgFMLpBvr+FmwAmpDc4UEIpzXSqNBpDdB7bF7ElehLEdX5AYk1vPD88sl+ONC0tZnnHGC+OWlEX1Mft8ThNmeak4UpTTQv8PUhRFUS4c5g8D++/Pfn7ga+A4BvVWsmWTm4DJzQAZkI0LTy2JLSiqKCkLa1kPTJJz9SqUPrnp7kFtMDAnkmA5dSIlcH0aPmPj+zY8qTMBCGvZjJq1iJj+cde+yYbuM3XGB/m5M+vZX1hxTwERMcGIfQ8jiYG4Ledm7fjZGHOWnu8SqYhRlA1A/y9SFEVRLhjsw18fXHj7Z8GJleb+yU1SPtZZBNoL4Kg0hT3fjJ7HN/l7hy7A9brkBE8YSnainKEoC5skloZ47+hVNQMGVMzWrGuyvXU9L0ZeHDjXshBAIOcfRLIsiFxvi8tQGLGd7jue+X34c8uz6qlxzgigIpuRrOJmtlrGJO2twynMnbSN15bROZPZGOb1mxkoSgk6D17nAypkFEVRlAsCPn4Q2Hd/9Xtf+ySQctGdDBgMkGtNDJRihbWsad/b+MJkmZnQWfgmPVle6IuhQWETRm5dcnNbysFrIEKnP+elNl5PTBX9c7EA0mz6PNy8lDSW80tjyRb5KfM2kWv1GYv+rJtcBsl4IeTso4NQzjWI5OWHZoZRcZZMVXZmlECgVbIgxqzNbSxPmoy/bd7h7ExANHp2j6Ioa0Z7ZBRFUZTzHmaGffA2jEoP2KP7YGbmigtXToGnt4LizmDmJKpnAyvZAr2cmAiCzD44SZGJHyvfkpFt+qLFYYJMANkYfecuPwDTD4FM1+DINQprs3NbNQbn4RkpcrbSDBEWSU7QwVs8+wGW7nj54Zp5kt5gD9Awx6/QibiqXhuPyTmfEa0zezUGvm9FG6iVCwSVxXoPFEVRlAsAPvwocPCh0SvtuwfcnBlc7q15o1KmIE1c+RhcrJ4LtgkSQFdNpw9CWbcqUzCwvsu8hHWXGekNWg73J92vhyE2y8NIEqz6pz8fx5v8jmnMg0DuiwlEEAIieMrXmC8pS1NUKrEgKoqbqHFm+1hWs3z2YkdRlPMCzcgoiqIo5zUc98D33jJ8hclZ4KobQRMzg6GwMUAYgaNJycrk6ffFVIgLGJel4FIA7jICQSTrINd/EUSDVs197Og5JOvKAhiZOVO16dBY21ZbSqfsDApG9JOU3cxWO2XrxEnffnpU703ectllwILQiVC3jyDIytrSnuxzo2e72Jy4rSKN3XkGmrlRlPMAFTKKoijKeQ0/fAdw8sjgG8YANz4PNDEJYtcj0lkAmjNAd0ka/40B2XRwGGJYc05ZiQTn+YA4rLmhmL3isnz2JYyy4Ys+k8PGzVBJRWD4sq9xLITTJJs7My4G68wOVG2TigU0gMGUTK50bc2Hc0YAxg/ZdPsbNoMGyA0cTdEva2MLmHomHsK6CLLuymB52+mUn60mjMLaeOLJ2jPfc6Nc8uivl5aWKYqiKOcx3F4C3/fV6jcvvw7UbDoR4zAR0GwB01tAYBExZcKaiAZAgmkvMvzTfmuLIqbKVcv6nhLrhjiyy2a4n31wbfyT+zHcsJIeEDVXXy87seycg2j84L1qvbBW3e9SoBw1rSGK8vc0dG5pIxvwnQV23kQhrA9GbUQiJMs0Jtd4H3OM41pmzBgRpPbaKAoR7SaiTxHRXUR0JxG93i3/n0S0n4huda9vzW3z80T0ABHdS0QvW+0YmpFRFEVRzlt4771DZ4DQ1l3ZjJggAhoTQJKAktQNvKzcSoJfIhmYWB7A6PtfCieRC/yDmpsZ03WN/W5770ZVEAMWMDUJyIPADbxcxUEr6Y4/QJKomMHJB/UjY+iqjMIYQbdNszK7ceeyDOzD2VKjLDCNiBzvplamtyLXG9aLvU5BKNed38ZnQ9aCCTLzhyqY5fqJxhQ7QbadChrl0iUB8AZm/ioRTQH4ChF93L33O8z82/mVieh6AK8BcAOAnQD+mYgezzxsKq8KGUVRFOU8hXtd8CN3Vr85swWoOdvkeguIY1C3DeltQbEEKt8TEtUzx7F88BuETqCUAvRCCZQfkOldu7wDmLNqLgsQb+kc1LLekzACElcGt9HwGN8Dzm7ZFEukhs03KcfgaSzXsB4okHsfd0XY2dT1o5iS9XUF7BzVeivZLBxPfsaMF51r1Q5RY3hvTK8DrJyS823NiGAeFyJnfZ1kFtYqbJQNgs6baS7VMPNBAAfd94tEdDeAXSM2eRWA9zFzF8DDRPQAgGcB+MKwDVTIKIqiKOcllPZgnv4i2IfvBEwA2rQNAMksmKgGak4CSc8JGEiQ3JrKhEfYAMBArQF0UglyQ1eC1eugP1AyiCRILpehBaEs9wIlLJWY+exLEIlQ6c9DCYDAjYwzJdetJJbzNBUN94AE6eNmO04nhqlyY9vwgziCUPbDAOK26x0J1j8fJu4VRYfP1PjvASdoxmzqITM6yxJ35Hcu7lbPyFkNa9119kRIV5XJKcqFyRYiyjuxvJ2Z3161IhHtAfA0ADcDeC6AnySiHwZwCyRrMw8ROV/MbbYPo4WPChlFURTlPCSJRaTUGzBPfCYQ90CNCSDpgt1MFuqtFLfJixiPdUMhGxMu60ASkLKVp/De/crTz964hnE/vySMis5mhUxN6gJhX+YWuG0TCdbLYoAtOOlKQJsmoLygoABSjXGGKQTSRo4b5N7r21JTJkQAZz88ZhAe5EUjspI+YHXzg1GkPYAbxeGSVf0zQVDhRldBlbDodaUksNYE6pNSqticXOdAy9y+4y4AM2gFrihrxD0qOdccY+abVluJiCYBvB/AzzDzAhG9DcAvQZ40/BKA/wXg/1nPCaiQURRFUc4vmAu9H+SnyyddcBABy6ckuMxjAindiVzZWNJD/2l8mojwoEACycQ9WbfpoANV2sueuhdEEZXKr0z2JN9nUGyaCRw/8T7pVfddmABYOAKYCNyalGyOjdcXmAQ114BuAOMFh8mVgHmRwlmCwtpsoKXtAZ21uKVFmbjxYiXfG9QXMO1sWdRYf19NFTzEdrrAmHezkMVhcUtbnhfhVWtKJu50KJ+GTQCokFEuDYgogoiY9zLzBwCAmQ/n3v8TAP/X/bgfwO7c5pe7ZUNRIaMoiqKcX7hsDADXUN/LgnKbAq1pII7BtZY8NScDCmtSckQsgTaQ9Uv0hUmcNZunyfDyHpsOGYzoSpXCSKbRo2SvG0SZiLHp0KomJgOsLLhjxcDSvHw/OTdeI3m2o1xvjz9uRQaC2J1viaiBfvmbyZVhMct+yxkvj43llceLG2OKAgZw9yXZ2MfH4zi0jZs9sQmA3O/M0vzwnqGNII3ld3G9vUaKcoFA4sbyDgB3M/Nbcst3uP4ZAPi3AL7uvv8wgL8gordAmv2vBfClUcdQIaMoiqKcPzADveXsZxMBhiUbQ0aCzNa0BOfzB2SdyU3OFaxif7WmiAN2wby1sswLpb7oKJd3lYRMmqAvZHwMbUa4kBUsm7Ogm5klkK20OiYRAeM6XfUNBCqGM/pZLIAL6CvmtrAFusuopDFZvXwYXtzUmvLyYsYPjqQNFgbjCBmzipAJI8mE5TMyeevs9c6iGYfeCkCt0rBVRVkb50Fp2Wo8F8APAbiDiG51y94E4PuI6KmQfxwfAfAfAICZ7ySivwZwF6TG9idGOZYBKmQURVGU84n8tPagJs3hPqNiQgmQy0/8G63se+acKOFsKGHczfbrG+4JmUuZybtJVQTdYeTctnLOZH6bNM6WB1FumKPfXZq9b0IgaVfsvy5ZizAazHaMIqwXLaT79yHN+kOGBctxjKFWz2u2Lw7dvixgc/0v5ErQDAMIZHpdkmAdkzVLjCNkRoQ4UT2bJZTfZycn7OKOiJry/fOfo99mXX0zALptoJ7rR1KUiwxm/jyq9dZHRmzzKwB+Zdxj6EBMRVEU5fwg3xguC4CwBvZBa9kaGXCDL3OEOTcwdk34aVJs+raurCwfC3tTAKLBBvEgyjlWmWwZu23ChnPOqkGC9iHlYUSg9oKcX2ummDGot6Tpf60CIp9JGmq5zNVxP3H1QEkAaC+OP1Sy5tZLuoMijNzwSMvy3kaVVK2mY0p9VgWCqGjZ7DEB0Jwq7afi88g73KUjHxaPxlBx6KeirBFD5/Z1PqCPARRFUZTzgzTJynqiOtD1PRoG3H8yblCY4xI1UejtyPe2RC0AVNyv344xGAwHYbFh3x27H2z6PpT+7BOXefCCKe5IKZy3dM5nOiiQ9W0qwqu9CK41JdDvLGHdRSI+C2TdMM++wUHp4obtPu5JZqIq6O8sA7V6dcbGU2tJhmxAgBn5DKssptdTskW+dJDGt2uqOm8TiPCqEozMIu6IcufI8vtTmFsTVX9fBQ8RkfUJORe1YVaU00KFjKIoinLuKTxBdwMmPUkPOL5Pvp/eIoHo0glgdjuIclFiWJdSNCDnGuaMA/LihEwWYAeRa31xT8d9o39Qk6AWVOwtYeuEUGkoZr/czDfeO7ED65rdOwNBK7kSOZ6cA/ljrCvIN66hP3eeJswCaIbr+ylholUEgR1dNuV7YaqC8WEiBsgNCR1zhowJxT57LUE/UebKlme1+xvURGR0luTn9iIwMTv+cSspHTOsaTmZomwQ+n+SoiiKcu5JurlBllHRMSv/ZH3hmHzdulvEBHlr5qQYGNfcMMy4g/5TdT8vJD9B3u87rBXLhNLeYLAd1uQ4NsksecsN//2SI3c8Rq7cqjoQ7y81kRxvzU/puWL2Y4WttA/smWSOSbct6zED9VYuA5bf9ZAmfWNcr1HFuRozxMwgx1ouMQjXl7kIqoSMletsTAzfLqoBXlPHHbnO2pASvNXw2bmkJ8cOwqwUT1FOCwJdCO3+ZxjtkVEURVHOLXEP6Ayx+gXElriMMSA4J7LeiogMH8iH9Sx49AtNKGIp7gxOZ++vm4NKwxT9OmFYnEiff8IfRpmQCQI5XtrNxEBVP4Ux2TbrLTWybtBnnrKo8fv1Yq67jL7YIZIm/YGQwAzPYORd0coEtY21L16LJXWesFa9rU0Gr8vPkAGyDJBn6URR/K4FP2PH348zaISmKJciKmQURVGUc0OaSOlOZxFsQrAJwMYMxs7lmS6tmWKpVBCJaPDlOlFdgnsffJYzK0lXGvRNIPvpiw/nvGUC14/jg3HXJ+PFTL/LlYripHDepT+vQQREkZxLnuZ0dvz1Ply1CWBqWRkYmeqAOYxEwOTvRRCK6Ep7Rfc3wIksJ3CMycwJTFBtvHC+QVThTIZqsUi+8YblOgv20wwsnpDX8slBM4jVziFfnmeTITOKFGVt0HnwOh/Q0jJFURTl7OLndXSXsyfV7SXgxD7XPxCBpze7eS+xvJdnenMxFvWzYJLYZWNCyfIArh8mH3galy3pZH0waa70y/dvJB1nscsuO9MDAheQepEQhEUr5lFN8akrK2o0AW5KeZO/vv59GfsODsLOic3PRfHnkjcdKCvExqS7rghIl6XfJajJ/fH2wmRk3wwRMD2X0RqVoRgnq7SWXqC4I1HTemauBGHWK+XxhgxlvJhhmVtUOmE5j9bM2jNEQVjs0bLp+rNMiqIUUCGjKIqinF3SJJvJwhbMKbDoel+SnryOunkeE5uAZq7MZ3oLXPe6/Bw2XHN9DUAs2RjvXha6LIVNstKpwOQEB2c9DIac+DFZlsUmmX1zwcnMkY+FjSm1peTeNIGbp8JZAN+cceYCOZHFa3jSX8D1CHnjg7DmyrtKJVQ2kV4Y653NEmeL3BFRlaZAvSkBu3dqy9sDE8n9i8ds0h96uqa6zG4YNj294ZRBLRMyQThGvwsPn0ETd+UerpWy2YSiKBuCChlFURTl7BIEzl3MBadRc/jMj/aC61dwDmATM9Ib4yHjMgQdKSMKQglay45YJnCZmqpyMwNYL4zCweZ9U7IgLvc7kCmVWpWyQCYoPuH3mRxGZn3shcd6CEtWz/nzD3JP/imAZBy6WXlTrZkZIhAD3SWxVK4ckgnJZtgx+kWMO1Y588HsnN7W2HMSd+T8g3VkMvLzerzl9UioIiOTO49eR64hHJLZqdxlrhxRszHKRlDxv9eliD4WUBRFUc4uXnx4qtyyHEwh7IfeDtteAbZdVRQxYQNA6gJxctkYWxqq2T9oTsREJTeyMJsFYyua1A1npU1BAwPV4fn5LX5/+f6apCRqUou+cEhjecJ/Ok/pmasHPAJyrkEoQqnXBjqLxT6duJsTVu6cq3o4yMi+xsnGpIkYMPSWRRh1lyQbtHQCWJ7H6jV0Ff1F5nSGaJIrmYvGu8+dJWBlYfj7y/NyLWzHzxTlTSA0+lSUDUMzMoqiKMq5JYqAy65yvQmJCJHlE8DEHPgf/xwAA3fdDOzYA0zNynpp7Caju6CwVpcgNe5gwHoYyPofglIvi8llU7yVcn+2jNuun+GwANy6foYKMBj4c0nU5DMkZLJ9+PNidlbB6yzZMqboEuZ7ZeDuUxoXhUBnxQ26dJbAVAeQn9vTHczKBKEIMBojcC87lvnP1bM8XzQ5yBPWszk+bF1zvBtIadYp9ojEjnscJzXm7HMdRb0l1xTVVl8XyAQyadilbBwqiVXIKIqiKOeCXBBL+TKsMACvJLCPPQxE++Gf3tNTng8KjDwpNwZozWXDL0GSnUmTwT4WAAjqMsslCAZLpowTECYnOAqzZZJM2PiwwVoJdo1z/Mo3vgelMq98D0xVn41fZtj1+wwpsRuFTUWohO76khgFsQTI9UeNzHY5nxWI2/JevpyqIDJcn9BYWSMzKFBqLWDlVG7fFXbRMK4pvyvnZkvn4IWYF4lrzWoQoXIoaBnfX7UanSVgIpT11zSoU/2XFWUjUSGjKIqinH2qhhU6+ORR4JE7swVz20BbduTWMIPDL4mGT4rndNC9LIggvRBuG0PFRE6QEx2pe6PsfmWTiiCWcu5aRubI9L8vXa+3Mc4LnLWKmajpHNv8Nq6XqAwFLqPh3u+uiGuZF4P5krrQZbf6ttbOIGEcIWMISHL7ippFEeNpn8qyMkEEyR7lh4FWBPx50bBeQbMaBMm2jSh3BCCmCLXm+KVlYU2uNe46Aazhl6JsBPp/kqIoinL2CcKBpAEgcSEffKSwjG58jmRjPN42GJDgOqqLSKia72EC12BuhggMuIA9dzJhvbrZuxyzVlkuF2a01JxIcaVRZaHlhUG+7CrtjS9mQmcUkG8eDwIghZTchS6TZK30tiRdCcB9kO5d2mDluPUWMnGXyrXlMzXjaAbKCalhIgbIsjLGZZEKgqTsAAcRXEkA1Bsus8Jnxv2LzBhChoCac9Ibt9yNyJUjOhtnM6G9MsppY7S4TJv9FUVRlHPAEHtbNgEwOZMt2HUNaHZr9nNYLwqWmmu+7z/ZL/1ZIzfMMo3F8peta9x3zd9B5Nyw3Peh66XwDl/Fsytdw2p/QtmVjSH35D6Qcwxrck5hgIGoPe1J0Lvqn2iXoWBbfMLvm/l7KxKQ5/uG8n0iaU9EoCfuDpZVxZ1s3zxG0OTFxSgRA4DDCNa6crVyQG+AyqwSp0CvC7GxXv1U1k1YA+oTw9+vNZ2hwxrxYqY8FFVRlHWjGRlFURTl7DPkaTpRAOy6CthxJfjhe0CPu7G4ar2Z6zMhl/GIcxkUIyLJmEw8BKEEvta6fhKTDb5EWhqW6NbxpWjGZME2uT4OQIJ6huuxqcgE5e2drQVg3fFYAnKfhal0SQuAOM6VslWs40uV/PqeNJF7UbVfwM1BmXC9Mig2/lsGorDCvACudyTO7KJHMULEcNQEd1fAD9wK2v0EYGZrxVo5YRO46wxcGZ4xZ1bEAPJZNyfFdIIr+mU4RX9wZn6bsfZtxjcIUJQROPuSSx4VMoqiKMrZp6K3gE0ILM+DiIGAgGtuAGa3gm0K8jbF+Wb5/MDLPtYF8S6jMqQPB0AmNIJaro8mzp2fHRQEVc5XvvekEMxWRNsE6bfxDmUD5+7Xc85mqXVCbYidNFtnLpDm5qs4K+ZRzltJVzJZPZep8dkoTipK6nwZl7u21LryteqGeA5CMWSIGplBAjOQxLDLJ4GHv5Bd89DSsNx9THtyD6J61lNUzkCdKYYN7vQDMQlrb/ZXFGVDUSGjKIqinH2qgnMiKYfyP8ICJw8BUQM8uQkIaqBCD4pzjarqjSFTKZYql/t9hpHE7SAnOkq2yRRkFs354LWQcXHXkXRdNsfNDUl9FsYCibMXJgx3MfOUh2T6c0hLJgFpTwRM/9pGCBmbyj2rN12fTWldMnIMch7U+ftL7jrTwf2zMbB3fQFYmncZnlXsjoPIze5ZZRBo0pPrjmrF+UNnEoYMYl0+WXE+LjPlf08URTlnqJBRFEVRzi5pMpAxYDiBMblJhg3miTsAc1HEABII2xTV2Q+qLgsKItf877fNBdvWZyRcw3q+lyHI2TObCEBaIZTc3BaYnA2zdzxzVs5+k9TNq8mLEV8+1cfI3JEg59Lm5+B4QZXHZ1NCLxBG2AgHzgQh6bo+GddnxAxXh5e5tZXxs3bKRgcgYP7g8GOWSXvy2Y6T0Ug60peyWoN/3JMSOIZr3K+vzxQgCADTlFK8cnarsyRZGeOyVapmlHOEJgNVyCiKoihnGY67g6FfVANOHZFAenqrBJBtN13dBM6ZLF9WVpeMR6/CXSw/EyYfcHs7YSATKX0hQTkRYSX4rXIuAyRQDusilPoT2/MOZjZXFtbLuaAFxfPxGZkgciVrBmI5hmw/sC77Ui+eE5XXzZHEzp3MiQQTFufgAJLpYSuvXuJMFPLZLmfXXJVV8fssCRnujjFI0tOYAFc1+gPumCUbaWZXxrXajksZpHYsmZV8H9G4EIlgqSrTWz4JTMy6rJtGk4pyrlAhoyiKopw12Fpg5SQ4avaDQHIZFwASFLYXJFCf2Qq0l4HWFKicdQnd5PeknBWAC8BHnER/pox1rmKBBOa5sjZxLavYt6ef/fBZm4pgNum5Miy/n1RKzLyw6WdnYtk+rAi2iVxpWt4eOqq+bk8QyT2ot6RsjJPKpFXxOKWshe+7IarIPAHMSc7OWvp1uDM/+hgmBK54AmhyVqqyfK/JAL73p/Qh2nR1QRLVi0YIwOnZNAdRtcFB0nOZscb6960oymmjQkZRFEU5e/TaUv4TZ0//eXKuOEsFEJGysiDzOrxFshcWfqBg0sPQwYmeNJbg1iaZGAhrxcDUu5TlKVsrk6lu9E9c0/6wCqM0J5R8piDpihgp7I6z7AxIRIS1kv0ZyE4McTrzWaGkm83PiZqDPTCAy2hRVoJV2c/i3dqK0+4ZBvbwY8DRfcDScZinvUg+z1G2wtuvAm3ZCeI064mx1vUkVVB1L0eVyhW2pY0zA/B9QlUk3iZbUc4NmgtUIaMoiqKcTTrLg8viGOgsAq2ZQdveetNlY3LBZFSXALO7IsF4PuvhG+HzsM3cp0zgBhJGLtPRc9bCIxrOmSUwNmawLwUolZVV4ANwn0Xqz4dJ3bb5gZiuid/PSxGPZ5eJcGELBdI346MYpqwszGcxbOr6cnrFjAIFIqLSONNGxommyPWEwGY9NJwi3/PDAOyxfcDDt8m2266Uc7QxiAm850bgka9n19OaBu1+IhCSiJjijR1+z6reSpOz7xJGJL+XNgEW54snZq26linKOUaFjKIoinJW4DSpnphOkHKy9hKwaYeIHRu7p93OZrgfxFPWON9ZBuAa932wWdXkns82UAAgFQHkMyBkimVlQDGrEzWd7a8THhQU+2eqMiRVJD2IiEmyawBcCVcEpC6T4t3Nsgso/mioWjhZL4xyc3YAl5VqQgSHHdzWz9axqRv06IwS+tclPT8c1GBPHgIe/Fp/U2pNSXanuyK22a0p8OXXAfvuBa68ATQ1B7JDSttSC0QVy4HBe0rGWTqfA9EQuAxgvVn8/fVlf4pyjiDNyaiQURRFUc4Ssc8ylMg32Z/YD2zZ0xcNBAsEjcyuOfTZmOVsXzaWuSxxF7A1V8plskDTZ1H6jf0mEztp7LIUDdlfX6C4AMFEbvKcmxWTxgBy/SHl/pXVCEN3nHwWxjmvhc5RbVgTv8eOyGTQkO9hs+NUbhc484E4N5OmCC/OA3d9obhs+RRox9W5QzIwsxnY/C1Ab0VEzDCqXOX6p5sWRWmtkevJOUeUyw+1rExRzjkqZBRFUZSzQ9VE+KgBLB4vLiMLCkLpKwGKZV9RXYLbgRI1cj0lpWM0p7LtYt+gHw6KG3aBswlcUM+ZhTMbIHF9JmGjWGIW1se//rAu/Sre8ayAHU8UrTp3heUck86gZgkCAEaa/32WKqjJNmmamQ2kaTavxgkJG/fAd3x68HBpjPKBiG02Q2eU64J1ZWvD1skLGVqH69hGU5+Q6427kgEMz7GwUhRFhYyiKIpylqhyjwqiisDcrWcTN+/FvR+6bMvKQrF8rDlVXbIGuMbvSKyII9eMnrdmLgyfhJS3AWLZm1ggcpbNvoQo6bjMgJE+lfx7ZUyYZYWYs6b7YZmIqgGeA/s0GNn0nqZyXmUo39+Tm3NDnMuI5cSCF3BBBO51wV/9RPXx2kuobDnuLgPNGaB9avA9j03AxoCGDc7MX6fv1TmXGCPXVE9yWTpFOTcQpMr0UkeFjKIoinLGYZuCDz4AzF0GCmuZ8KgK6tmiH1Tn/1AHNQn2C6LFDH1aL0M2AeouyoK0K+IiamZuVP25Lgbo5PbrMz7hJMBhsScmrMlTeYoAGiIqglpuiGUtN7+mNK9lNYwzGfBZDzJZiZXN97FU3QCu/t7PufH3s79OeQcWnFjYr34cQ7Mm1g4v+UpjOf+RGaQR2DTLGFkA5hw31hO50kANnRTlfEH/b1QURVHOPL2uNLcf2wc2IbBlt/RTeGvifLCbJs41K+fGVW9lbluF8iuZS4P6pGQiuh0ADA5cL0qvVIJmE6C7KOv7YwYRmAhop8XcQq0hJgBEIkC8y1l3Wc7HWxeXxUR/AGbumB5vVmBz5V0eYwDOlVMFJXcxILsHgHNoSzM7at/v44N9zh03L1iMkW2Yi/eydB0MA3v7p0YLke7K8Jk2vRW5z8aIPXNSUVo4jMC7ylm5jvUMtDxd2kuuN0dDJeX8RBMyKmQURVGUs0FnMfveJsCRh8G1FrDlcumHyQfLvtk8DKWvJmxIwB6RiJz6RPHJvE2BrisJqzVFKHSXgbBW3WzemCoE8JzGQK8DGAJHE0DcA9k4l61BJqgMiflAfpkfimldb0hexABZX0tQywXzJrNjThMRP36CfOSayEcNvQRESMVdAD7bEwG1MBNC1mVdbFIcbmkTMUco4xrsGQwggD3yGNBZGn0OgJulUz04s/+5wADNablW7xDXmMyGl5rQzbUhES5VvUJnOxuTt7xWFOW8RIWMoiiKckZhtrCnjoGmtkjgeuqIvNFbAQ7cB27NgKa3iviYmHXDIp1VcNiQkjAvFtLEOZaVqE9KzNlZlgqpo3sBBnj3dQAA8kYDUVOC66gp2Qvryp98uVqvDZgIPDEFyg/h9FgGyAJJqaQs6TkRUy7BokyQFAJxmwmesO4GX/q3EldWFQEUZmKnTDmwT2Og7fZTb2U9Ov688+LNeGEDJ26sy1Z1+rNkqDU1atJLdg4+wzPSqMCKxXatlYmXqAlKek7QoXpGT/+Ex+gf2mjq6kqmKOc7KmQURVGUMwof2w88dJsLig3wuCeDDAHLJ2WFlVPglVOgHdeK3TLDWRFDRAyQC8iH9Gp0lyTwDyM3qNACE3PiiGZTcHMaqLdASZyVVBGDw0jKnprT0q/jZ9ikFkBHMhr9Rnnv9JUL2slkVsq+XyTNnaN3PjPhYKbGU+i/aeSGW7pjDOtB4RGuX16YTcxK6VzqZub0OiKsvPHAKNgCk5uApRPD19l+lZuJM6YFdW8FmN4ivUv+vPPmC8P2M8rgQFEuUTRfeM4tQBRFUZSLHT5+IPeTBR66Fbz/QWBqqzyhB0RI5Bva8yJGFrrNRzl2xeCwDiwck58nZ7P12wuu38SLg5o4djGA5Xl5P+6KTTPgGuwhoiKRsjOEDemZyAfbQYiCkCifn3EzasaZgWKC6nKyYdkIZqBWYf9sjGRkWjMizHptkB9GGgTi3mZWPx/iVETHMDbthLnqycDCkVX31WdiDiAzZJDfKKvmip4iRVEueTQjoyiKopwx+NQx4NBDg2+0F8D3fUlczC7bAzSmpPk/27K0IxfErvYIMu6KKIkaxVKlqJHrw8m5gOVFSa0l2zanBntrbCqv/BDEfDYGqHbo8s5izNnMmWGZGRMBPKy8ymVeypombwFca8rPaeJc1Uyh/IyI+iVqPLNFzj1uj+6DaQwpr9q8E+baZ4kIHCtbYoCpTQBbkE1zw0lzpOmgUULh/Rgwa5jboygXOdUPBC4tNCOjKIqinBGYGdxrS3nTMOYPgY8fAtIeOGqIo1lVw7wP4Ee4V3F9AjjyqPwwd1lxAGdjEuQzG7UGwFb6RJZOZuuEkRgJDBt0WC59CiIUsgjloQ5BlBNglDmuBTUnanJ/gn1TfhhlryBy/SRJZoAwcE6BNM23ZkQYxJ1MTI3oKyGbgjgBhREwudn1JtUG14sqhEOtAXPtTWLgMEx0lO/D9CYQWMQUIOdazlKZCGgvDv+M0+Tc9MooinLeohkZRVEU5czQWQatnAR2Pg6cWmDvPZkzVw7adBlo6YT0YsxcJq7G5Ub2viCofv7GYQ04cQCAddbCeYERiDCI6q6RPdcAnxciSTebSB8Gg0F66OaupL0s81G8EicGWL4vWDNzVhrlhYYxErx7ccS2wiwg2zUAyVqQyYJ9v62tuC9pRaYkiJxFc7Y+wQJE4Pok0HAW023nMlcl6jbtkHMvW1tXUWsB9QlQ1bwbtpDhnCTmCX54ZhJng0Tz2MQ5vI1RpqcoyiWBChlFURRlw2FmYOk4AICSHggAX/UkcHcFeOyuLKjf/URp1PdB66lDwCkD3rZbYndftsSpiIiKp/UMV+LlS6Q27Sg6mzVnpJzJkHNCIzCCzGzAE9ZkvbQnpWi1BgAS8ZNv1g9rsrwsdJJe9VwZwNkLu69p4srN3GDKUeVUeYIwEyD5sixmEQNlbCzXkeaczJKe2Bvz4PpEDBkSGoKntmRuaaVMFE1uKma7htGaAYIoa+ovwX7gZXuhKHTijlhkVw1Ljdtu9pAWlCjKuZwPe76gQkZRFEXZeLorwMpCYRHFbZAh8OOfCV48CRx6EDQxDfJzRfo4e2ObAM1JcRXzfSalAJbDmoiY43uzheUBhqEr8bKp7Lu3AkQtKcnqtSVwjhoiKghizZzm+2vqsp2Pq31WxpfBeetiQLIdVUIGcOv1IFmInDhIYsiBK8qmTOjm0KTZMcoZCaLh1sX5DJbN7X/YOfrNvIgwBnjyC4Dlk+Cj+4D5Q9m1N6ddHw7k/InkcyeSEj22pb6n3OFNCKycAk49DGzbM5ip6ywDjdbgefYd52oaxSmKokJGURRF2VjYptmsmAqotyJuW0/+lgoRAwCuST2qA8un3KBH19eCQIJkORBwbH/RSnj2MmnY9zQmZb0gygYxQnpEwKm4nDVa4qSV+gxGThSU56MEtex9m2SVaWHdzX4xAIJVGuBdJiZw2Zkwn2UymWjjnECqGuyZp1xyR27gpgnkmvxQzv4ppNXmBOXdgkD1CXCjBZrdJvthBkW10rYMMINbs6Jp2BaFU7YWAAIOP5xtP38YPLNFZspkJ+juZ02EUv4z8NkgE8geTTB4/YpykUPQRndgjHtARLuJ6FNEdBcR3UlEry+9/wYiYiLa4n4mIvp9InqAiG4noqfn1n0tEd3vXq/NLX8GEd3htvl9csXRRLSJiD7u1v84Ec1t3KUriqIoGwm3F8ELx4HFE+KgFdYlWJ7eOpBJoTAEJR0J5Ge2Fd3AZreD0l7mCJbG0rNhrfzVOnVEXp2lwXkozUmgNSvHBYCoIf02+SbxqNG3YSZiUJqIEUBYH5xjkj/voF4UOWFdAm2fXbHOLWycsieTdxRzQzMTZw/t9+WzETYZvU8TOrEn/SioTWS9OmlPtk/iQWGRz2gwSzbJhMUeGpsAvSVQdxmUdMUkwCZDG/KJIILQi5BcdoxNCLSXgMMPFUVQ3JZBprl9sjFiFpH0BkvMjJGslHHnq85NinLJMo6YSwC8gZmvB/BsAD9BRNcDInIAvBTAY7n1XwHgWvf6MQBvc+tuAvALAL4BwLMA/EJOmLwNwI/mtnu5W/5GAJ9g5msBfML9rCiKopxncGdZBMzJQyIyvBtYc1qGUjZngKnN2QaTc1JOxKmUGAWRCJqoIU5ctVJmRI7iAmgXuJqaZFw8rRlgcV6OR0aGOYZ1+T4e0YNSaw7PTOQFUD5e9j0zaU+ER74EinPrBN59LMi+D+qSyfH7zs9HsbZaJFB+GeVczVymJXUBv02kB2agpMtmooLJCQBnbAAn9HrL0q/UW5bsVd4BzZO6Rnybymc1irTnemxq4KAmZWkLR6vXXTohg0thwLWmCK/5g0BnEZymOUc1EsHmraWrTAEURblkWFXIMPNBZv6q+34RwN0Adrm3fwfAf0HxX8xXAXgPC18EMEtEOwC8DMDHmfkEM88D+DiAl7v3ppn5i8zMAN4D4Dty+3q3+/7dueWKoijKeQIzA8f3ydT4yc2u/CiVoHflpKy0ckqEztQWYHrbYE9E0pV15i4DBRHQq+j5YCsBrA/IOwuSgdiyW7Iwrens6X2vDVgG9ZbBZMBhTTICQa0oamrNSic1APLkv5ChyQkOwvAhl8zynk0yy+Wkm/XgpF3Zlxc/5T4QMpkI8oIFpexJ4jM3q8xwCXJiCtbtx82PsYmIlrhdIRqHwBagUPqWqq6/yh457UmGbXqLfFaTmwfXAYCTh+V85w9m/VXtRYkwvF2zMYNlZMzZvB5FuYSgc/w6H1hTjwwR7QHwNAA3E9GrAOxn5ttKNpm7AOS6LrHPLRu1fF/FcgDYzswH3feHAGxfy/kqiqIoZ4GVBWBpXr5fnpeAtTUjT9nzEDmL5e3VzelhXQL0qCY9NDYqigyWOSQc5hvlu842OQA6JUEShPKUbfmEy3RE4ImZbNhlrSUBMFHO3SvXdE8hgPx55v7WpUnl3JXs/VKJWlBzzf4+M2Jc03xVPw31S9+ye7OK5XDekhksZWQ2HS7SgPUH/oTMerrcZzNqdg1BPpPWlIjOuA0sHC/eq+N7gdkdfcc7APK7Uqs7ERW4z9JlZLzxQq8jJ1ZvDZo9KIpy0TL2/+1ENAng/QB+BlJu9iZIWdlZgZmZxBuy6tx+DFLGhiuuuOJsnZKiKMolDzNLOVmehWMAjgGbL5dAM99835wWG+TJzU785ILpiVlxuUp6WZDanM6290FyVWN3uY9iYg5kY8nC9Eu30iwAr7Uyy+Oo4Z74h1lgXhYXQSgiK4hcaZUdbzhj33UsFn3kxUM/m1HxXLPqTx3nvjBLxqrRyiZ7xx0AY1g457Fx5rq2FvzpWSc6u3khk0CKPUYJGnfOtSZ465Vy75fns9k13aWiQLIJAGemQHAmCO5Eep3cZ89ueKgKGeXSYGDe1iXIWP+3E1EEETHvZeYPENGTAFwFwGdjLgfwVSJ6FoD9AHbnNr/cLdsP4JtLyz/tll9esT4AHCaiHcx80JWgVdrgMPPbAbwdAG666SYd+6soinK2WDwxvMTq+D4JSDfvAHpdyQ40J6QZHABPb5an8csngfqkm9/SzLIRRNVP+8dppo/qEkr74BgAmtOgNJHMD8u8FNi02PfhBUy5nIsMgCTLHhgDsMmGZMoJyjY+W2Dc0EybDIoFKn3N41tnYNBZbmPhyFGc2HcAj331NnRX2njl3AlQrw3zk78uQXzo7KHXCrP0GdkxZsL4Hh9vswxIeVlzqiQ6LBCGq5e8AUBQk88jCMBTm4GJWfl9ai+K+1w5o+fP2SbD7aYVRbmkWFXIOAexdwC4m5nfAgDMfAeAbbl1HgFwEzMfI6IPA/hJInofpLH/lBMiHwPwq7kG/5cC+HlmPkFEC0T0bAA3A/hhAH/g1vkwgNcC+HX39UOnfcWKoijKxmEMeGURNLdDsgK+xMxjE+DoXtfLcrlkQVwgTGlPMjrTW4EgkERE/gmjibIhl0BOyFQ7ZmXbhfLU3hgUA3yTlZAROctkRqUISOPM+Sx/7Pwxkl61fkiNBPO+F8dU/Kn1u0stmEJ0223MHziEI/c9hAP33Iv7PvOvuP+z/4KkUxQZYaOBF/zJ/8DUvjuBbhuo1eSe1loFe+nVYBgxVYAZ1FLeIMFZLctgzHRQnHCuVC4vOFd7SmycyUCuL4eIpOxsZiuQzEg/kSdNwK6sUGYMjRAxaQqErAYAinKJME5G5rkAfgjAHUR0q1v2Jmb+yJD1PwLgWwE8AGAFwI8AgBMsvwTgy269X2Rm/7jlxwG8C0ATwD+6FyAC5q+J6HUAHgXw6vEuS1EURTnTMDO42wZdfh34658FwMC2q0CBceVlOeI2QDRQCuEDWPRWJCtjfcbElW7lm/F9WdZqM0OaU/K1kwvsG1MSuPuyNcCVlvmsis3KzoJIMh3GiFAxwWDPy7BWV1MDkBaD7XJQHdRyx2Hc+cnP4g9f+b2jr8mRdDo4nkSYAsArS6DaJnmj15ZsVtmOuoJ0eQF49G7g5BHQM18Oak7K9RhfMmfRV1pebAzTBWks9y8eI6sDuDk8MYDy/XSHcfODOAQQbpfPaPmkZGtGlKv18WWBWl6mXAKoXB9DyDDz57HKvWLmPbnvGcBPDFnvnQDeWbH8FgA3Viw/DuBFq52joiiKcvYhImDTDvCJA9nT+kMPSl/KjqtB3okMADZLxTFHDWna9/0pJnIZhYnsqX4ai4jxZVuNSSlj6jfhr/LnO6rLXy2bKwOrNaX/ZmDb3BP+qC5iJl8+FtaysrM8SdeZE+T6UgIniEaVVQWR9NogW+fa5zwTxhjYMXtVTix0sQeQmT2zm7I30rg4sNPRz76kKbjXAR67Dzgpldq8sgDUm/1bIeLKC8YxTsYPEV0TnNlJl3ubHEQAmi1wLyxabI+DChlFuWTQoaCKoijK+om7oCQGdlyD/p8UmwD77wWfPAqe3Q6emAO6K+JINX8IOLoX1kTgIHJlSQxQuYeEnKDBYCnZqNKyyU2SWfBlXUENmNoq9r9pnImTKvzTfBM4kdIRkRM70RLWSv1AucZ9Y2R9wDX4515ePPWFTzF4r9cCvOyNPzv8mkocP+7E4dEDpfNPwSYAB3U3rLMOBBHs4jzs5z4A+68fAt/yMbE39iwcL+5jrSVZa3U+S3tZj9JqvU5JIoNTg1BE6Njoc2pFuVRQIaMoiqKsC04TGT556ghoeR50+eOBLTnnyO4ysPceGW7ZXZKypbgDwAIrC+C998L2OrAmgO12wVUlY8SZxa7vUxnmFmbcrJTlk3KcIAJaU6D8+taVTZUNCoKa9FcAImTymRY//DLpZb0zYU36OELXo+LL0tJe9iKSrzYRcTGi7Osbvv+7h75X5tiBIwAMcOctkuFyr3R5AfYr/wQ7fxDcXZFyvV4HNCo7cfBh8DBhOI52MOHadUPi5uj4srSh+ybXSxPn5umMg86TUS5+zvUMmfPlcYHmXhVFUZR1wQ/fDj5+EHTFE0HtBWDhKKg1DW5OZW5hE3PSlJ7fjkkyNHEHOLZPREBnEdycBnZeA5ggewJPgWQ66hOZJfOwJ/mtqZxYMEBrRhzSynF64kvHAmeNzMUSp4HGflOMjW0ivTCE4b0hJuwfh0+dgD1xCOaKJ4CGBNnb9lyOzXuuxPFHHi0s3/74a3DdN38T5rZvwubNM9g808DmKAb23ikOX6eOAVOzAADqdcA2AR66DXjyC/rXQfXmcE2S9IYLQ5/BGlXy5kUSmVx2Zg0hTt4koL/PSHaR5D67JAVgXZbLAEmCoYIl7ros2SqmEIqiXPCokFEURVHWDJ84DH7wNoAteP4QeMfVoMuulIB2cpM0n6cJsPVy0FKpfGliBjj0UPb9kUfk+/YC+MGvAjPbgO1XSi+NMUBigdQ5c42a3ZLP6ExtciKmNjhc0uPtlsOaC5ThLJNL65ePGdac03KA6qZ142J5C+51YW/7LHDyCHhqE2huS+WpGFj8+Ifei1952vNx4yteghf+2xdhU5MwvXwY0fEDAA4C7YNAKanDiydBTsig3uxbIdv5IzDTW2AJwL77qq/fE3ezgZv5ayWXEUGVS5gbPhm5+S5eKo1jjZ3H+qyWO0YQFe9/mspnSHAucYnTL8aZJnCFEQPk98+LX0W5GKkwT7kUUSGjKIqirAmOu7D3fLHYH3HwQfDBB7Mn+Jc/HrTjchmYOLsDOJnry3BP+HlqS9b0n+fUEfCpI8AVN4DCUpBKQ4oaooYEwbUJIIz6s2r6ZUlE1U/xg6jkMBaiELjnxVHgSteSnnMyS4CwkfXGeEIxMOAkhb3v1qyx/paPg1/6QyCuyEIA2HX1bvzSg7cCn/0QZg/cWrnOAKfmgZ175FQnp0FPej7sbZ8E9t4tV7ppJ3DokZG74M4KaHJGfkhTd83uPhkqt/QIUV1ezJJd8wIoaow3QyZPPiuTxhVixn0e+exQYKTs0FIuS5P73GwqpY1BLWv+D0IVNopykaE9MoqiKMrYMDO4vQTa/QRgcm5wBR9o7rsPRAZkAuDk4Wx7CoCVBfmBDPjwXmDLbrFHLkEDT/d9tqAiGG1MgHrLrlnfFLfxDfvsemPCGgAjAXBaEhVUyr74GSpRXYLrNJV92DTrgQlrWRmTa+hnZvDhR4FH78z21WuL01gVJgCCOjbv2IpN3/59UiY3BryYze0hCsSdrJZzETt5CNiyc/Q+lk7mfrJuvswQ/L31s3FsUhQdjMF7uho+K+Op6pUKa5Id8sYKaSKlZ7aXDcj0Rg7+s7CplBqmPekXSrqjM3qKolxwqJBRFEVRxqezDFo5CYpC0LVPB656avV6V94ArjWApZMoZEFaU8DSCfDsZcDB+4HuMviRr4st8JYr3JR6AFt3r+3puQteqTkJGpoRsJmoMYE7rXwplclKzPL7zbugyYoSUPvm8zQBmCQb4TJMfOo4+NZPD5wB3/ZZsInEmMBELgPkBkTaGEgTUL0O8+/eCMxtG9h+gPnivB4iAuYuy12yBVrTo/dx6FGxaM5dHsi4XpVAriusS3YjqDmzgyi3cv4C19lo78WMMUWjhTxpLK9hPTvWzQKyaTarJ3TnG9Tk/c5iJmoV5QLH0Ll9nQ+okFEURVHGgtMYWMwCZ+IUNDsHbL2iuKIJYbZeIYMxu0vF96IGuDEJ9DrFgHThGPiRO8BhDdh6pfTZRI1MZoQNVxoGDNhpRU0316VWbNo3YRaQ5/HzXlDKHJgoF5eTBO+WK0qlnONWQWhZ12vSALdXwF/9JCo5dRR84rBzFFuRjEHSlTIok50nhSHMD/wc8NRvArbtBnzpV5lH7wbHpfK7eqt0vSOqyGsNYGoOMAGYDNhfM7trTLpOPCRyvXFHygX9tQehlPN597R0jWVl5O2wXeZsmEhJElnPC91h1FtyTWmSlQ3axDnJOcc5tsUyNEVRLli0R0ZRFEUZj+VTA0E9MQO7rgEfP9DvdaBrngoKDNiWBUcdlPTAl10NLB0rNnl7ju0Dt6ZhussS3NcnwFHdtcYMeQRYb4J8eRGzBLImEBtmwE2Fd4T1rBwsYZTsyCTIJSNaKXGZG5MbfJkvR0sTiPLJDeq0sTTdNyeBdknEOfhfPgh+yQ+Cyo80Sw5eZAjm+d8GIACCELz3fvAjdwP3fQ1YcCVlnRXw/odBex6fbVcruZQRATDA5h1irlBvgmpuLg6xzAE6sU/Wnb1suOmY708KaqU30uqG+1F4x7gkHlNUePFh3GuI4Om1xRSiRvJ9GbYyX0d7ZZSLgIF/Qy5BNCOjKIqirArHPWDlVOV7BAtc90z5oTEJmnElUcYAzVxZU2sWsCkMJzBRHXTN04DLn4DCn6L6BKiZm+TeXZan/GkiAqMqAM1nHNJYrJ+9iAGAjmv6DnNT75OeBOyFfhkXjLNFP1C2KQpBcz5wYJsrsYKIKMugpAvzrJcB1zyt8n4BgP3ch8Cm9Cwx7g30h4h0SEGwMHuegOBF3wPz7/8n6NU/Bex5ohz2c38P+8Cd4M6K/NyYlCzZlt1Aawuwfx/4+Enwl74As2UnTF2EIaU9ETGA3FcT9O8Bw4BN6F6BuzYrvUIDvUtrDKZC53SW9DDesJocQTA6crGpCBg/bLVM1HAzafQ5rqJcDOj/yYqiKMrq+LkwQ6B6A7z9StC2Pf2nhJQm4KgFNCZk3gmn4OYMqCPN/mQTUGsCfN0zwCePAYcfBnZeDSqXhxk3P8b3XxjXtxF3JNvSa49+wl5ruFKw0nLOPeX3gx2rGtXz5U7luDvfaxGE/ftEaQxz9Q3gzTvBN//D4D47i7C3fxbmyc+XbJIcyImJimyD7w8xASisg666Hnz5NbDvfxvw6D3gj7wH3JgArnuanG+3B/7nvxvczewmBC/+9qznZ2JWvo+7wJbLgTSRQadLx7JMydxOV6bVBaLJ4g6Z195vslZXMyATT+Nkfvz9rDVdViznqKYCRlEuKjQjoyiKooyEO8vg5XmZyzEEAoN2PxE0MV0qPbLSDzO9GZymwPwhCTBzT/WJLWh6E+iJ3wiKSmVLzSkpX3NH6f+33gKmN0tgP0zEBDUJ1INVps/7GSVpknti7zItJiwG3uUg3M+qMcGA2CNrYaZnYF78/UCj1LcCAPsfhN3/QLHRfjVs6hy4eqBaHebFr84cvzrLwG2fB+74V2BqSIP/5z8Ke99d2f1fPikicGJGbKLbS3LtjZxgsSkYJOuVhUCarL2szCaDfUtlvFitT8i51Cfl51pLvpoAq2eCKHNw83bRinKR4Kttz+XrfECFjKIoijISPr4fOHEQfHRfsVSsBDVaIC7Z94aRBJ7djjSRzx+Qpv7FkxKU+m0JoFodlE95hLXBAY0AwFayOUmczYsp05xypWSuByPvMlYmCNEvH4s7rpRNsh/9ZnTjrH/LrlzMYjAwImNFhOFlZrd/DryS23bc7EbcAWwK2roTdNMLB98/8DDwou+o3JT/4q2wS7n+ke4KsDQvma2VU8CJA3Ktmy8HQMDicTc4tD5ojbxel7IqwpoIl+Z0NmwzCN3nQFm5WFQXcdOckq+1FgbCGZ9Zs6kI59VMAhRFuSBRIaMoiqIMhVdOZXNg4jZ43z1gCsDluS+1CaDnSpH8VHVvecsWHBjg+N5s/aUTRcFTa2KgbqsxURQ2OSEzlKAmgXB5+KEvzaoSNKUm+/77NpWeGnbOZQyxI/YwV2ZiqqCZzUPf489/EOzPdS1lV702wAx6+vOlfC/PwYdB++8Hfc+PAs3BTBr/6W8XhGTxTQucOizuZK1pl72xQ4TgOh/L+s/ChCJ0m1PyO+AzPlWzZIDiZ+r7esLIZbxy2ySuXC5qOFOD8+TxsaJsFOc4G3O+/C+lQkZRFEWphJnFjazMsb0SiDamsmC40QLlh0l2lwF2pVpxV9yp8rNY0gT84G1SVlVrAjBS2hS6p+311qCV72oOPfUWUHMWzL6/IyyVqvV7TUJ5z4utPGVh43t2bJyVZDHL951qZ7IyBQODMmxhv/ARcBDmnLnGwKYAWMryvunbB99fWQBu/ijo5d8F7Lyy+N7J47AH9w/fd9SQe9Sccm5wKBobeNbkmkSSTam35BVE8jWsFYXLeiIkEwD13CBQmzrr6DUO51QU5YJCu94URVGUatqLwMKxweWzl4kVM0Fmn8xtBxaOg93gRV/uxRQARx4Bz2yT3gsTlkSCBQ7cB962JysR825jW3bLs/6+kxhl2ZCqWSNB5ESLzQkgm018N2HR5tcmUk02YCUMWd9nRoKoNLneuswMSU/KuFSVNtVbwJXXg+a2glozkMGYkExVVcN/FWkKhAb05G8Eum3wqePA0ing+CHg5DEALALkyP7ctcm++f3vAH7yv0sPUxmfGak3gemtg7NpPCaUdVcTDMaI6DXB6PVOhyASoVQQzD25n9Zqo7+iXITo/9WKoihKJXziYMVSA9QboLYL7q37OrMZOLpP5p3MbJUBhj1nBzx/GHjkdmDntaCpy4Dj+3K7M1kvi2diTkQUkWRnbCrBqO8fKT+wr0+4YNrtI6y54ZneQtkCtpeVRvn1vEgJai4Qd+vnK9xK2QG2DBCBumsQMYBkp578AlCzJaKlLsKm0OMTt0caKlSS9IAgBEU10De+IjscW+DUCfCxg+CDe4Frnwy0JkB7rgO////ISkcPyNicqv1OzDoTBQKmNg0/PlHu/o3gTIsYT1gXwdtrA2A5r86SnKetye8bBRUW0opy4THU6OQSQoWMoiiKMgC3l4BTRwbf2LILlO8Jmd0OSnsyER5WSpGOPipP8LsrwOQm4PbPyLoH7pdSsqtuBIUBMH8Y2HplSRQYIIqy+SadJXGsijuuBA2FMiRuTAAmzFkYIyvPKg/czAuY/mwYlqf2JgBMzfXC5Eracs33DMLhP30Ptn3/q9fcGUI2RbB91+C5lOkuA62Z8XdsEyf0in/OiQwwuwU0uwW45kng570CfGgvsLJU7ERaWQZqFQKjqoxsGL4hf1h/jzdLOBsQybkbI0Ka/ODNnvwOeaK6Ez0aCCrKhYw+klAURVEKMDN4aX7wjTAqBn6+rAiQHhgKsjKl7grY1GCP7i3txAIP3w5++E7wlt3Si5FnalMmYvon5ESHLxlzfS/cmBC3rYWjYMvSY5I/DuDcxir6ZNjA1ca51V1fjbVyHd6C2YkaBuHA7/0RDv/GbyFpV0yM30jK178aY9gfExFoYgq0dSewaWt/Oc8fr97AWpknMw4+KzOMsyViysesTYj4jepihpAXZ3FXRHISr30OjqKcJ2izvwoZRVEUpcziceDoY2K/25rNls/tLGZPpraAKAQHNWDxmMxsaZ/qv512UyQP7ZNBi2WSHnDiGOx7/wC2F7un9hVZgPqEZEwA+ZomQK0prml5sbVyEjh1HExGsj5B5ISJcx4ru5URsv0WDAHYWTb70jkLBrDv134Lx972x7Lo1OouZadF0hnu2lW5fjyWDTJNzwGNZqHHiA+Vhabj1OG1zYcJRxR4nKuIx5js2GSAqFn8rNlK1qa3kpXG5QevKopy3qNCRlEURenDNgUffkTKcA4/BPSWRIhMbyn2QUQNEQNJJ8tidDMHL46a6L79rWj/xi9j8Zd/AzbcLPvwTG8Bf+GfgYOPgP/kV5F+/O/AEzPFsi5jij8DWcanVq940m9FhHWWYDvtYglV3365VurJ8YYAgQtyi+5ZSTfGvl/+TZx495/1F8fHKgwQ8pxu4G7tGrMYPHYWhw88Cpw6kS34ymcHnd0Auc8nK0oLhzLiEe1aLKXPJETye1vOAqaJlPR5QRP3qrdXFOW8Q4WMoiiK0oePH5ChiJ7OCnDoISDuguqNrEl6YhYEBgcRcPIAMLUZmNgETEnZUnrkOJKb/0XWPbQfy//9v2L5XX8JO3W5NPCHLeDhu4Ebnglc9USgvQJ+7B7w4rzrt4E8QS+XNyVdIOmCwpr031Rgjx+B/c2fRvqJD4Lj0vaptxIuiRabs2wOarBkcOpz/4I7v+F5OPHn7y3sIj5QYUkdOte01iwwuVnOvd6SmTbrETZnqtyp3gB2X539fHBvdSYMkPk/aykvCxvV751PFsjkLKAbU85iOicYk1jETNI9f8SXooyAiM7p63xAm/0VRVEUAICNXSlWzqK3z+Jx8OJxYG6HNPj75XFPHKnSHshasDHgmZ3o/eOfD+7/9q9h+Q1fQ+Nn34jwgU8CtRroad/o5rPUQL1F4Ng+8LF94CtvhBn2h7KzIv059ZYc27mjAeLWxV/5nLiWff4jSD//EeDbfhDBU78JFLjp8L6krMIQgAHwY/cj/uSH0T4ZAp1Ba+LOI48VF5CRBn0T+pMAJmacU1bJ9nfpBMYiTSTIZuvsmFcRA5XDKgeh6Vlg51XA4f2gH/8FUKs1vJQq6ckw1M27qt8vE9XcucYuq+HEmLVyT86TwAeAs+Suy+efLy3zJEm1CYKiKOcVmpFRFEVRAAC0chIUt4HLrga2X5UF5nnmD4obmU3AtQaweASotUBO+BAR7Jc/g/CBm9H8jz+F4Gk3DezCpF1g/hjwgleBekugpCsiJn8ugASYUb1i/gcD3RVZZyJz+GJrcfKLt2OlVwPXm9nq//fPkf76TyC95w5wYcim9UcSAbO8hPSv/hD2//wKgofuwOb2A7jyl/8HzEzRRWzpX78ArrXETW1yEzCzTYSE74At9GZQlq0xgWSjak2sSm8F6CxKyVN3ZXSpWZTLlK0CTUwj+MGfQvCm34e58hpQaMT22Z+r783ZfLlk2SZnx9pvHxPI+TSnRGhGzcFSrvMJIjnH8v1Ve2blPIegzf6AZmQURVEUANzrAIuSLfAN/bz9SnmafnRvNshy806ZGN9mwFeg5Z7o21MnYT/4Z6BeB/jk36K263HgH/1J9P7pI7CPPoTad30f6I5PA9ObQNsuA+Ism9JnbgcQuECy14ZYMtel5MeTxkDSA0V18ORmxAcP4Oh7/xrH/s87AACbvv812HTDbtTv/rxcQ5KA/+oPkE5Ow7z6x0FXXA1iBpIuGAbplz4F/GNWQpZuuxLz5jJMcQeP+8//AQf+4TNY+eLNQBBg24//J9DEmBbJfhYLIIKsOSVZr7gzfvlYmkiGwBgUh9xAhEdVj8uoUzIBsHWnzJrJZ1u8cLWJlO411jjTpnAQl/26EJIaflhnGgNg53S3BvtpRVHOGSpkFEVRFHH9KgXJ1JMn9XzZVWJXe2wfUJ8AtReK2zKA5gS420X6pc8WJsXT/odA+x9C7WnPAL/sWxE85akwS08D334zsNIGN2qgtNhcTbNbi/XXQVgUMZ5eGwhroNYUaGYLTvzFX/bfOvEX78OJWg2X/ccfxfQMI3rgK/LG0gLsO38d2HEl6IXfAV5eAD7yPieY3OVMTuN4ewpH3/77OLppE3b/3E+gtmMH0idchyv+8A/RuvaasW9rJSaQUrTlUxgQJsOI2xJsh1HRTSxqrPvRKA0TQWZtwuiiwJeaKYpyQaFCRlEU5RKHF47DHnkMtHkXyJWN5aHuMpgZuOqpoJwzWZ8oAuKOlG3NbpbXyeJ8EnPXV0DX3YiA2sBUE3jBy8GHj4CmLwPaOSGz7QoMTJsMa0DCgw3YRHKuQQTudoFaBKwAVK/DNBpIFxZw6PffimOXXYbtP/KDmOwdQnjgftn24KPg9/7e4LUYg1M7bsLRX/w1AIA9cQKP/vdfAtXruOZv/xqtx187zi1dnVoTsFywq5ZrctknMs4eODezprcCoOXKv5yz2UDZnaIolwSE4X2ElxD6L6CiKMolDDPD7rsXOHEAfOQx8NYrQVt2gUoBNgUhJHgOgdkdQHtB+jdMBJgAnFjwkYdhGgn4NT8CPngY/A9/KSVRALB5G8yeqwAW0UJJB3T9U0D1FnjhuGR7jAFNzhUTDFET6C2LvXPUKE5nN6GUXQURart24gmf+AQ47iGYnIRpNNA7cAAH/9dbcOpDH8b+X/ttNG68AVu/89swefwemBOHKu9H+8YXYf8v/ObA8u0//VNoPeUp1Tcx7on4WmOJFxotwJC7hlDuZRBkGRbmwRK03opYSNdbgwNKFUVRLjFUyCiKolzC8Pxh4ETOTvjoo+Cjj4J3PxFmai6zYp7cBEp6/UGSXG8BzUkgkNIw21mRIZoAqD0Pmq2B//0bwPfdDf7kh2G+6/8BcS7zEtVBjUkQMTCzGZiaqza28v03nEp5lbdmJiMlVhz0HbGirVukBC7uAEkb9W1zuOJX3ox9UQ3zf/u36Hz9Tuz9+p2Y/OYXYOuLX4TmA1+QDJQjufJGHPiz9wO9Yqnbptf+MLb+6L8fcgOd2AADoOL0+HFYrfE/asp1+tk3Sc/N1mHNxiiKcsmjthyKoiiXKJwkkg2pcmjaezfsPV+EpRCYmJUyqBzEFpQmIJsiDeqwJw4O7ILax0BXXAbzM78Is+ca0O4nAtMyZwZbrxARAzcLIYhgavWig1StmbNKdiRdCeh9mZlNs+/TVIRMDhMabP3RHykopKVPfwYP//dfxaHudnRvfAFgDOzMFhx9bBmdu+4ubB9u3YrLXv96mMYQ5y1r0e9zWUsD/zgQiSvb9BYxCZiYkxk1U1skI3OxkvSA9uLYQz4V5VJFXctUyCiKolyy8D1fAd71W0AHwLY9gytYCzx8mziahZEMvyyTdLHvjrvwZ7/0v3GqtXOgvIo4hdm6HaZWAzGDpjaDdt8AikqN1ZGb59JbETEQNQdn2XjCenH2iRcPnBMVORpX7sbc9756YPmJv3wfHnjz7+L45qfjmL0MJ/7ifaXjhLj8134F0ZbN1ecBuOwIAJAIrzP1193bOke1i9sa2LvndZaBpXk3j0ZRFKUazUsriqJcgnCvC/6Xf5QfPvthCY5f8t3A7Cbg+L5sxbntog2WjgFBDdyaAZJOf25MakK863U/hYN33Yub//L9+PY3vR7f8ppvRX3eDY2c2wmqZ9kMIsh0+bwLmQmKmRSfYWFb0RczYjhkWv0En8DY8XOvh5mcxHFnz9yn18Oh339r5XaP+4s/x9Q3fEP1sfIXFLg5MVrqtX6Y5bWyCKlfZPn8l+YlKxVe5AJOUdYMFd0dL1H0XwVFUZRLEL77FuDgI9kCa4GP/TXw9+8FWluAGSkBoy27QfClWz1g8SiQpjIQEsBdn70ZB++6t7+bv//V38N/fvor8eW75pHOXQ667CpQ3oYsrA0+ZQ+ioiNZEGUlZL22NLcHLoMT1DA4SwUSBA8TOACi6Qns+s+vx9V/9ZeYevGLVr0/zSc/CbVdu1bPsASRlHmNK2KszSbdX0x4IbLuba30Y9UaQH6YKRhYPinGEmXXOkVRLnlUyCiKolxicNwFx23g2S/NJrl7VhaBD78L+NdPAlc+qTp47K0Ai0fRtSHe+QP/YeBtmyR413/6L/hvL/lh3HfrPbCUm4pYaxQb4oOaTK7PE0bF0rGkCyQdmaNSGSyTWz46kCYwJp9yPa76vd/GVX/+bjSedGPlepPf9Dxc+bY/Qn337pH7WxM2FQGXxkBnUQJzHlI6dyHhhRmwprI67nbAXtAmPWBlSVzoOovyczk86SwDC8eBzoocr72kPTSKoqiQURRFudTgh78O3P9V4OR+KSd7+vMHVzqyH6Y52W/Ir+Lm970f7cXFoe8vHj6K333pd+LXXvid2P/wfth6y7luWSByWYxS8MtBHTzsybu1sn1QGxRgQDaZfhUoMJi+6am45n3vxc5ffDOiHTv67008+xtw+W/+5tpEjM8GDctIpDHQWRLXNV8mZ1MRcMP6gM5nCtfJQ3uTBjazVuYRAXI/OktSOrZ4HIAVEQPIZ1yvMFdgK7bfcRfotoGVBRE43ZWi4M6f39nMfF1sWTblvIYg/wyey9f5gBb0KoqiXEJwewV895fcDww8+nUZwPiy1wAP3Q3cf5u89+LvcQ347cr9LMcG7/vpN451zL1fuw2/9txX4LcfuxX1qWmQTQEbg62RILY1CYIP6BlYXgJPTANWXNEAZL0yRCIITCBN/0lP/qIaI8vs8PKyMkEAbP2hH8Dcv/23SI4dRXzoMFpPuhHB9PTY+wAgJXe9jpTNVdkpD2tYt6lkt+oT548FUBU+QM+fI3MmxsBZid1q+4m7SG/9FHD8AHDdTQjmtsl7vdLvWdyTz7RK6HlL8DQF0kAEEUiEcVSXc4mc2O22ZblNROiaEAg3MPTxIjbuyLn2z0HDK0U5G+j/aYqiKJcQ9rF7XEN1jrgLPHI7MD0HvPTVwP1fh7nqCQBYrH57bSmFcrAx+Kff+xPYNWQTXveuP0S9PQ+058Ez24B6C/a2zwOf/gDw5OfAPPvlQGtCntAD0hcRRODmBJDEoPKQGS8CotN0Ckt6CGemEc5Mo3H11evbR1ADIjdHpgzb0eLKpnJ/z0ezALZSvuWzTY2WiAPfD2PdPBvAzfSxIx/TUhCATUOus7MM3PY58Iu/T+YTlUl7QGNysOwQELFo09KxWM6hbPgQ1ETUMABjgfZxEVzNSRE1p/O7kyYiYPOfbxqLwGpOZDbiinImIGizP7S0TFEU5ZKBlxeAQw8DN3wjsHXX4ApL85Kheen3gFotme+SxjJxfmpz3zVq/sQK/ul/VTt9VbH98VfjSS94Zrbg1BHwyaMiYgDg9i/A/vlvydPzPGkMLJ2UYHSIIxnCIAtG19NzksYjTQLGgkgyRmVLaWC8BvU0FqHYW8n6aM5FyVm5NCrpuUxDIjbTvXY2lLO7NPiZJKvfRyKCufJ695OFPXZg+Mo+K1N1nj2XCVqtmiuqufKzZZlNA4g4OnkEWDohor7XGb2PquP73qBKkWov3LJBRbnAUCGjKIpyicAP3goceRS490sSjN34jcDkbHGl2a0wU7MSmDuIGJQmQHMWaWsT3vf/vnlNx/3h//27CHq5J+smAn/5U4V16Ft/uGiz3F93SHkRIM3/gZtbw3a42FmN0xUyo1hLMJvEUjbXXXGGACvjCaGNoJ9dyB2vfO5pIufkrbPL5zZuWd/UHPrZq9s/Bw4rBCAgWZmoolfGC9fusgiqYTSngXjE70SvIz03S/Nr62/Jz/SpEq+AM3foVr+nKMqGoUJGURTlEoBPHQPf/7VswckjwD1fAua2Adc/uz/Ikp7wTJB1Nf9RI7M9hgy3PHDPg7jj/35s7ONe+ayb8MH/+Rv48qe+gjiakHOxDHz9i9lK268Etuyo3kFjCsSlANkYCVLrubKyqvKkcTmTXat8GkKkbxLQO/ON5HFXhENnSbIdSTxW2ZU9dRzsBaQvL1uNWhNoTLgdJLAnDg5f93Sum61c02qsdz4N82iDifQsfG7KJQ3RuX2dD6iQURRFuchhZhy//XbpTSlz8CHgvluAPTcAz3gxaG5L9l7cAdKuBJ5BiBQG73rdT6/p2De8/EW4/zOfxzv/3U/ivz3txThwaAn86Q+XVnoG+OCD0u+SJ6wPBoJhDWjOFC2cXRP5ujCmuK+Nxm5AIBu3iwNEzwT5oCSJRcyMEYTzgQdh77kFdv4IOO6BV8lucbcDLJ4o9r7c+hmwz6yVidtS2lhY1hlcVnmwMe991FhfVEY0WritMttIUZTTR4WMoijKRc6hf/kC/u6Vr8E/veUvcWr2GvDk3OBKj9wBmpgC5cu1PL02YC0e+PLtOPD1O8c+7lNe9W340p/9Vf/nxcNHEK2cAo7uy1ba80Rg6Tjw4K2wn/sA7JIbigiIwEh6YJctQtSQBvCqJ+hjWi8PEK4ziB2Xjdp33JXXGXvCX3FP03h1A4K4B+y9F3zzR2A/8Rfgh1f5/eAU9paPFQWATWAfu7e63cVaICqJFmagNqSkq7zeOJyOi9lqGai4c3HMC1LOS4jonL7OB1TIKIqiXMSwtbj9D94GMGP/576A93/n6/Avf/OvaO+8oV9OBgC46kmgeksaojsrAxayvYTxx9/1w2s69o7rH49jDz/S//lZP/DdmL3nc8CTngM844UADHDtjZmdLizw9c/D/uvfwyIAVk4C7VPAyUPSR1FvDQoDtrKs1hAxU2V/PIxa48w7hdEGOlfFHekJSeKNFzS1RrVAXKXsji6/FvTUbxGBObMNVGEiwcywD92O9PbPwH76b4BTxwZ3dP8tYptcRdW1VgZRruSwMQk0psYfmLmWrFm/0T+R/a92DJuu3UxAUZSxUSGjKIpyEbP345/AYx/5aGHZfX/zQfzly38Qt912DPEVNwIUwFx+TS42tM7NSZqtmQy+9DcfRvvUqYH9D+N5/+FH8Ok/eHv/Z2MMXvCK5yLoLAJ3fRG4+0vAt78WOPrY4MZJDxS3s2by5rT0VBTmmFjJFLUXnZtWIoNh0jF7UkzoBmsOBsTca4OX5sG9TjbAcb2st/9iGNa6HpYNLDXzJVBViYNVGvhpbhtoditgDGjn1cD05sGVThwC3/op4IFbc6K14jSWhrxXVZ4Vx4P3NoycEF+WXp9xzQd6nUGx5C2my8ts6nqXVsbvCdI+GUU5Y6iQURRFuUixcYz4a1/DM/7fn0Xzsu0D73/lf70V7335azG/8yZ5gj2wgwRYWUC73cVf/KefG/u4YaOBqF5DZylzlHrpG34SV564K1uJGZielXkbZR73ZGRRNQETc8UyBmYJPn2Dv7cJ9g3rIzHidlaV3QHAcRc4vh84cQA49CBw8AHwqaPgzjJ4PQ5iQSi9P+GQHpD1Enc3rv8i7jo744qg3NrRPUQE2Js/AqwsgLsrlRkcPravYsNBRMhUhCVJd9AdzCaDPVXrnduSlO5lmogQai8MvrrLzl2Px8+2pcnZc59TLim02V8HYiqKoly0HP/IR3Hwd34fAPDU73gV2tu34/a3/m/YXhbshzPTCB+6FfbLfwd65Q+Dtlwms2McDIN/esvb1jT88uU//3P4yJt/vf9zrdXCs56+B3To69lKN30LsHgM2H2dlPY8dJtkVkwI2rwD5N2+WtODgXTSXb/VclSvDMw5iaUBfeFo0Tgg6QGnjsj3ZMCNlvTq1JpAvQVarTSNyA1kZAm+N3K2SJpsTGnc6QTZqZU+GQBYmoe9819AJgDtvg5oTcv9mdsm9301Q4Z6HQyWEjMTAmkCsu5zzgskZldCWMp0nOZgVAShs8DuZPselU2xcSZQR7rmMdDrFl32FEXZEFTIKIqiXISkK23sf+sf938++cEPAcbg2f/hRzC/1Mbdf/oeAMBNr/+PmNp3BwCA//aPwNt2g176vdL4bxPMn1jER3/jd8c+7pbH7cGLX/tvcfnjH4eP/u4f45Gbb8G3v+lnsD0vYmotYPvloHhFnnAD4OueAXTaQBBmIgaQfoc0ycTH6cznMEG1iLEpMH9InriPgi3QXpIXABCBN+0CTcysfmwiCc7tadhED57QBu2GIbZlQ/aXxHLvqgQPIwvij+4DjjwGBsD3fAl04/PA05vBj9411mdGU5tEpPqyuSAC1yeAuF0wVUNjovqzOh2RsHxSBrImPZmtNEooBxEkc8RZBjCI5PhJT0RXueQs7QFJKKJWUTYAAmBUGKuQURRFuRhZufUrmPuWb8LSbbdlC63F/DveBZqYwHP/6xtw8tQp7JlJgCO5DY/sBf/5b4OvfSrw/G/HB/7bL6/puD/2nrei3lvAU55xFa59x6/jntsfweMaK8Cjh7KVnvUiETE5aGUBiOrgua3ZYMywDtSaWVkZc/XQzHGpDT4RZ2aZqbOaiKmCGTixHwyMJ2ZMCGADhczp9l74PpB6UwLv7srwdYNwsCeFIdf0jJcA3Q7w9c8V3/7658c/lyueODgvKI3F8KHWBBsDkAGxxYYJuDJJN8v8hPURfUgstuSA9FmlPcm2Mct2NnUZpdxnbYz0cCmKsqFoj4yiKMpFBi8vIvjLt2LLff+Cq/7bf6l4fxkn/uAPce0zbkDj6scDl105uJP7b8WBz3wSt/zNB8c+7rXPfRZ2LjwsD+5bM2jVCE9/+fMx+5wXAs99pdjcbtkJzG6t3sHcZTB5odKcKvbGJPH6+0KiRnUPxcopYOnE+vYJSPB6fB948fjqxgBBOHwS/HrI992spWSNrWvw7wGdRekHGSVi/P69S5d/pTHIJgi27oK5/Nr1XYODLr92+DX02sDicSCNwWENbALJ1A3cy9N8Ot2cAiamREAlXRElVaRJJurSXvY5EMnPxPK7FtUlU1NrSQ/aent4FEUZimZkFEVRLhKYGei0kXzh08CBx0AAZr/wQTzxzf8Vhz77Zcx/4pP9dWe/+fmYOXoXcO9B4IrrgOe8ArjjC8DSSQCAveoGvOeX/mhNx//+//bjoEN3AIcehm3NAN/07TBRHQQguOZJ4B1XgXsdoNUCMAnkJ7o3JoqlS1EDaOWyHDaV4YjrIQgrm+056QEnDlVssA7mDwHWgqe3DJ+vQCTXFdbkepilP4gT57a2hkxDVM8CY+bxy6qYpTQuCDd4WOPpZUmo3lr9801joB0Dxs1BCiJp+Cdyh2dgcpMTWT1nU72awDNAc9I53sVF1zsvZqoyMxSgb46QOAc1L8SsBdK2GEqsxQ5cUdbCedRwfy5RIaMoinKR0FlYRNztwhw+BOMCK+p10fz4+3Dljt3Y8v/9Fxz40D9i+bY7sPOV34Lg4X+VDR+7V143fgOwaRvwlU/ivuUa9t4+/vDLb/y+78TWlQPZgpVToM4K0GiCG5NSEjY9B5o/DCzNi+jacrk0QS8cBWa2gno+K0DA9BaQf+rNvP6+GDKVk9vZO59NzJxeRibPqSMiyOqt1c8pyBdE1DNr3/4ryQRKvicDFqBQen3SnrzHGM/muT9pntdvljCMcW2vqzChZDHGhSgrqytbLPufA9+PEohIyfdd+UMR3ByiYPj9SLoiPFdr5jdRsf+JSH6/gnDVWTyKoqwfFTKKoigXAXG3i9pEC19493vxwZ9/M177//0snmhPALdIn4I5uBdTB/8K1zzjyYh/+scx/egXB3fy9ZsBGMSv+AH86Sv+nzUd/1U/+l2gR76aLbjqBmDKleksz8uT6TDqCxIiAhaOgSkAdl4rJU7yjoiawpPs0wi8w3p1Sc/SCXmS3usAU1vEQW0jWD61upCpgkiCXu9CxuyCbFP92DV2ltMmWdvxTFDMHoxLGsu9zGc4yGTZipGB/ips3yOCdqOxFoAVDTgq+7Ra70qSDJodlD+SxInKwu+pE+CalVGUM4Y+JlAURbkIiOp1nDp4CP/w5t9Ab2UFH3r7e4HpuYH1gge+jqlJBj3lWcA3fZtrQM9hgK995hYsnRg/S/Hdv/CfMTk3LW5PDnrck0CFaI/EFWrbFcDMtmwppzKTgK2UCW2+HJQvKQNO72l/RZDKbOV8OotS1tVZBKaH9O2sheY0MLM1d4zTgEiC5yoRY21merAW62QiETHDej+qMMYND3W/J2mcvfJzZ07Hwnl2M9ZUmhYEWFP4stquVy3PsYMzY8Y93aS38dkvRXEQ0Tl9jXF+u4noU0R0FxHdSUSvd8s3EdHHieh+93XOLSci+n0ieoCIbieip692DBUyiqIoFwmf/eN3YtkJkCMPPYKPfOUh9F75GqCW9YeEr/p+0PFHgCOPACf3AS/9TuAZ39x/v/O0F+LP3virYx8zrNXw3G95CvDVT8m8kCc9D3jSc4FGKViut0CBAVlnpbxtj/QzzGyThvvJOWDzTlCtMXiQccqmqiAzUNbD7UWxCS4uFXesnMBaM/UWMLcDMAE47m3svJgySRdZJM1SNrUmBzPCWI3xQSTXYRPJaAx18cL6hoX6s2lNj7+yzyYRjS/ITldUAlLGV8jsVdzvNHZlgCXizuk7zCnKhUkC4A3MfD2AZwP4CSK6HsAbAXyCma8F8An3MwC8AsC17vVjAN622gFUyCiKolwEHL7vAXzyd4vN+f/8p+/Dm370f+Dmq58LftG3A1PToN2XgfL9CPvvA9Il4OWvAZ78jfjkP39lTcMv/93vvhm1B2+VHx67F7jri8CeJ4Iak9lKjSmZHB+EQH1CnubZRPpJJudE0ExuBg3rJTCBOD8F4dq6W2vF3hhePgWcOCBN5QtH5bgeIimBW4uYISOirNYCZrdJn8fSPBAE/UGZ6w7wfc9MOQBO4mIZlwkkW7CW+xJG4tDVmBo9UHMtjcSnI9waE+OvG9ScBbMVARfW3GuIqDFm9WzRuCLDC5kgGtH3UrEvn0E7A2KGu53TEpHKhQ3RuX2tBjMfZOavuu8XAdwNYBeAVwF4t1vt3QC+w33/KgDvYeGLAGaJaMeoY2iPjKIoykXAp9/6J+itDFroWmvxV7/y+/jw5CT+y4f/DFvD5cGN0wTYfw9Obr8B//B7bxj7mLOX78STHr8VePRotvDJz4M5sR+AATbvEsvlIAClVgLKoA7UJgCw/CFMuuB6a/UyhTCSl+8dsVaekg/0Prh5HWGtEKTbw48AYVSMzReOAdNbsmZ/IpeZ2Q6cOopC6VSZ5pRcX+r6JzpLkumxCRB3wc0pN6HeyJyZ9Vjv9jpyDmEju5YkZ08dROJeth7ron40YgC4MrYgRF+9EK9NnJxG+RTVGuM70uVLBW0KwAXxVZkQwIm8VQREaiHPdVe5Xgs3H2bEtaZJNlsmT9KTc9nAgZh2/33ge78M7Lga5rpnZeYYinL22EJEt+R+fjszv71qRSLaA+BpAG4GsJ2ZvW3lIQDb3fe7AOzNbbbPLctZXBZRIaMoinKBc+je+/HZt/0fAMATXvgCPO6mp+Kjb3krbJIF+TO7d+HIn/wpju7dh6v++8+gGbVBJ7NJmDy5CR/8nXeu6bg/9se/hfDRr2QLJqZBM3Ouf8MCx/cCl10lQTxbCQKTbhZ4swReQ4P8KlthIgkIfeCd9lzAD3n6XmsNNPfz8YPgr3xCem2e80pQdyl7c+EYMLVJBmL6wH1lHpjZLAKnqj/HhMDUZuDoYzJ/Je+iBYi4OPqYCK8tu0HhkCB7JJw5cPVWssnx/hx9Juh0iRqVrm7jNe+bfnaCWlPAM1+evdXfHzltRBjM8JA0wteaMpTTGPk8RrJGQTiWY5j73VxVuKXj9QJxikphFLfdYMzTD714/jD47pvlfPbeA260QFc9+bT3qyhr5Bgz37TaSkQ0CeD9AH6GmRfyD66YmYnWYltYROW7oijKhc5nPoUf/p9vxGXXPwE3POcmXPG+9+LH/utP47k/8gP9Vb75e78T3U99Fp0HHsLd/+6n0TXFhvrDPI0vv///jn3Iq5/7bFz5zKeAXvS9wJ4bZOGNzwHlB1pGDcnAeOtkk7OiDeuAdU+2q/6EpUnW0D4M3ydRn5Bj1ScGRczJI7C3/JOcg03Ahx6FjUouUosn3MDCnOCI6tLzUvWkvzUtAxr9EEnmomnC/EG5qKQHHH1UZueMC3P2yu8zLZWUhY1svdOhqkaEfTZmlX2zlfNiC4rqMJu2Z6+5be61FWZ2K8zsFpiZ8mszzNQsiBgEHs/UwYzIPoU1yYYUT3L1fa62X49NxxNGNpVMZBW99ob07PCxfQVRxQ/eBvvY3ae9X+XCgXD+l5YBABFFEBHzXmb+gFt82JeMua/+qdp+ALtzm1/ulg1FMzKKoigXML1Dh3DkLb+H+vIyvvv5L4A9fFB6XN79LjxpdhZP/MU3Ye/yCqY/9xnki7COfeyz2PEdL0Zw8F7YTTvwnp/9rTUd9zVv+SWYpAdEAfCEpwLXPlmCvJX5bKW57aDA2f0m3SyzENSLJVK+WT3/l5Ex/l/KvG1xDrv3fvDtn5a+EgC48onAoYeBB28FP/NlWa8FIL0trVkgBjAx2xdkPLsNWDhRLH1KEwlI+8d3JV5RXQROnmH2yf3rtGLvC5s11o8jTuK2iLeNnhbvjx2EIjRHZZPsaYooE8hn429PuRyrimH3Ml/uFdbldyo9A4YLJhhvv8M+Q7aZJbO16zKy4FPHwI+UZjzZFPzoXbCz24HDj4CuetI6M4GKsnGQpF7eAeBuZn5L7q0PA3gtgF93Xz+UW/6TRPQ+AN8A4FSuBK0SzcgoiqJcaPgn5mmKcG4We972B5h83nORfPYzsB/9aLbeyZMI3/7HeP4Tr8aub3s5mtc/sf/W4Xf9BW79zn+Po4/28NCRFI9+9faxD/+kV74UW+75NOzBR4D6JAgMmp4DBa4vJqpJD0nkhjamPZedqbkn+KUSnV5HSrt88McsT8ijCgezcW/RwnHw7Z/NRMyeG4D2isx5AcBf/hisn8juWTkpFtC5J+aUdIGpueKslvaCiBlyjfa1pgzDPLZXDATyQWy9NfoJfJqKKIm77t6MKQ7SRPpy4u7GNZHn7z9YZtUk8fCXL31b7+FN2Bcx7A0dJjfLPZyYFTvr+kQxMzVORiTtuezJmO5sZ5skls99Pb1NAPjgQ9W/U+1F+d3cshMMgM/EbB7l/IEIZM7tawyeC+CHALyQiG51r2+FCJiXENH9AF7sfgaAjwB4CMADAP4EwI+vdgDNyCiKolxo+Lw+MwynmH7W0zFx4/U49bl/xeE/fBu699/fX3X2Vd8O/ps/RXj8GHY99SZ0X/FSHHz3e5EcOwZYi8UH9+JPfvkP1nT4F33vt6K2fB/w5X+G/eqngVe8FiZx9rxJF5iYAybnQH6aOpEEl8zgWgtIesXwki0QTWSBne+DWSe8vAB722cyu+DLrgLNbAY2bQcvnRS7ZwC49dOwN34jTGs6K3PrtYEwAlMIYgnUKe2BJ2blaXzbDe5sTIqYDELg5KHs4Mf3AZsulwwPMbB8UpZv3jXkZE/TcSruiKDYiOyM7/UhGt33njcFANZZKmWyew7XJ5UvnSOSxv4gAEeNnOCkwnajGaM8zjOuGFs1dqOKwZiOfp+TKzusr29QJvvfwar37vkS6LpnAvN3gS/bA3RXQFNz6zqOopwuzPx5DP+/5kUV6zOAn1jLMTQjoyiKcqGSJv2AKWg1sOllL8Q1f/lu7PrFX0CwZQsAYOqaPaDj0kDNt96C2vv/FHu+4yXY+ZP/EdRoYF9rEkvHxp9q//wf+3e4uvto8RyO7oP94j+CKcwC6pUFSFCX61kgctbHx8FBCM7/CVotoLepiIxeV55oV2QhePkU0q9+AvaTfwmccOJiy07QZVeAki6ouwy67hnA9OZso6//K+ypY1IWZiIJLpeOA3EbnOuZobQHNCfFLro2IVmkxWNFEeM5sQ/YtMMF3wS0psHM4MrMyQb8Ge5nZzbA4teL5CAYIYxIAnH/GnCOG4MwLJ7riPMmWJBN5HWmEiyn27cSRPK77kW7F15kMgc93+dk4/F6cgZOMQUvLwDHRrQMdFfAt39GPpOlU7C3fAz2wINDfvcU5cJHMzKKoigXIHx4LzA1W3jUxSZCGC9gy0ueg+lnPRXdg8fQ+41fGHgcxv/8D2gag8e95dfwP179o2Mf04QhnvfCp8PM35MtvOHZwENfBzgFf/Ej4M27QM98Cai3nGUvWjOAITCTuHmBgWP7gOYUeHLOPYkXR65KC1lrgZXF4kDGMJLMj4ts+dRx2K98XBr3PbNbQdc+DZRzwqLeMnD1k8GP3QMcd6XX994Ce+0zQLuuBvken15bMkiNCZB/um6tCDQTSAnPMDbvEsezqS0S4DYmJTPTmJCgtnBTN/B5oi9Pi5qn74w1qrdnI4Li/D7IjG/fvNZjj7u+TbNhmyP3l/uenAOZNz3IE0RZD1CVA1zczdYZEzIB7PED44kuMuD99wNxB/z1z4EXjsNc/RRQNOYQUeWC4IwJ+wsIzcgoiqJcYHC3Dfv5v4P9wB/BHj8M9sFwN5sRU5uZQHPlEKa+79Wof+f3Du5kahr/8rFPFyyaV+Pb3vRz2DV/X7YgCCU4z2dTNm8X2+UkBftBhyunwCuLEizWcn0v7UURNr0ucOjB6oCP2ZV7ha5fwmVJkjjrD4l74IXjRXHRnIS54RtlMOfk5sIuqbcCuuI64LI9siAMgXod/Oid4Hw/RtwBVhbAQQ1MgcyJaS9m5WJVzO3I7KdXTkrWprssX+OKnoWNbta3Vo63Ib0zZyhKCmtZfw0wfAZMGQZk5o1zvxvr+taQaRmrnNGVjoU1Of6wjFTccb/PI85xLIvrErn/x0fBD98h5Y2ex+6C/don5P9DRbmI0IyMoijKBQbf91XgpCsX+/h7wZsuA73w1aBckMImAH/4z0EAoqiO2m+8BZ2PfRTxJ/8JABB/23fhIz/1C2Mfc3LrVtx0w3bgxIPZwic/D3g0554URqDNO0BpF+gsAJ0F8OSmrGn/wH3S/D65STIsvtdheX54BsAmpaA3FDMBm0qvi+tHMFMz4Ge9Avb+W4Gje6WxH1KWxK0JN6MkG9xJvTaw/UpwUAM2bQMeuUPuWxIDu64B+XNLYxEuUWO83oyoXhruyEDbza3pdcQEIQ+5YZQbPZ097rjsTGP92ZmzUY4U1IqZtlGYAIhzQ1+N69Xpe8GWfn+MWV/ZW+WxTXa89QiQKpKeCKK1ZGW2XiGOZatlZdhmv3eek0dg994Ns+dGUN68QrlgMZqS0YyMoijKhQQzg0+VelqSHvjRO2FPHgU3p8FBHclH/rr/Nm3ehmDrDCa+/7sw8eZfRfTSV+IfPvovazrui37qx7CShOBd18iC1vRgQPeEZ4qIybN0Qhy9bCL9Jd0VaYg35DIl7s/QxNxg2QvzYBaDWDJABHG1SmMRDwAoqsFcdxPwhGcBsOCOFzOQ3pfZ7cVdJR1gx1V9EQMAOHkYvHgC3JjOltlEnoRvvXL1G3XkESmly+MzZlXCwKYbMlekEpvKea93dsmZCJKCWvZ7s5aSsqrzsYn0oyRdEW5xu/jqLsuxfCaHAhEjZkgGaOByjZxvEEmmK+lt/Ge1lusHQLNb5Xd2Pey4Gmb7HlBvRf4/1L4Z5SJAhYyiKMoFBD90B3DvV4sLn/BMmV8yfwB8zxdhV1ZAE7P9ANq85DtAtgeCRW3XHJZf8W/w5X/4p7GPufPG6zF/85fxV697A/7iV/8Mx3Y+Dfz0bwEOPpStNDEDmpyt3kFrBjj8CLC8IKVXvmdk4agIDCJgcmZwO7ajMxU2cZbOiZSdAaDAwGy7HPSCVwPTmVsTEUTwbNqZ7b45Ddz7peI+Z7bBzG4DdZaLgmRiRs5n6xXDz8dz5FEZsOn/xPqSt/JcD2YAtH774nFJekBneahJwlCq+kWC2mk6reXmBZkAZ/7iWTJpaU9mF8VtyeqYiiyVFzxevADOPnxtYmNNxGsXRzS7be3HuewqmN3XiUU6IDOdOkur9wQpynmOChlFUZTzGGYLu/9BcNID9zrg2z+PQvB32Z5iuc3UZnTf8YfofeCvgRe8CvRvfgi0bWv/bducxp/9zP9Y0zk867v+DfZ+4pMAgIO33oGP/tbbsfCZL8DuukFmqADAdTeBpmaB+mRxY+9itnmXBE0nDojwmNshGZLuMjCzDVSrsKIdGnS7PgkYEQc+8xA1ZBZJ1ADZGARI6ZjfiiBuXFt2g1vT4Pu/ikIPxcQszJ7rZV82ltK1iVmgOQOwmz5vU2DbGJmZY3tFsCHXyxHV3fyf2LmvdSVbcjbKQ9hK8NrrjF/GVmm8kKw/+A3rxTLBcwmZwd4cMq4czYuXsxHkV2QdV4G2XTloGjGKbbthdj8hEzGepAu0T51ZoaacMQhZVeW5ep0PqJBRFEU5j2EGji/F4MWTsHd/CThxpLjCnidm7mAA7HIM3H07kPQQ/+2foff3H4Bd7EgZFoCH7tmLh26+ZezjX/+yF2Pf3/9DYdlNr3oFun/6Jzj2Uz+N5QeOgq/7BtDklDzhJQPMbOuXe6E1Jf0ycRvYebWIl14baC9LYDu3E5jaNHjRwPDhh0Eox+ouFZuf444E694Ct7ssdrQFMUNiUDAxVwzIGxMw1z5d9tu/mVamuDcmQC74JyL5fttVFYG+yZaZyFns5o7RXQE6i/I16UgAa5MzV1pWReqyM6uZATDLtYSRsxZ2De52nRmUsKIXZq2BEBn5nRlWGjYWRuyzvVgJ65KBMaGc32oib9hnZZzN8jAXOn8vq/phkl42uHUcwppYgY/D5p3SExMO6cOxqTjxbYR1t6KcA1YVMkS0m4g+RUR3EdGdRPR6t/y3iOgeIrqdiP6OiGZz2/w8ET1ARPcS0ctyy1/ulj1ARG/MLb+KiG52y/+KiGpued39/IB7f89GXryiKMr5zl0f+2csL67gsQf24f59i0AtF8RdeT3SRx4Dtrhyp61XoPeu/13cwbHD6P3am9D+4z9Ez0zjHf/+Z9d0/Cc8+xk4ftfd/Z8f/29eibnPZmVpy3/xXnBzDuQDPHYzTeotybr46eImyrIB264EZreJKJiYBnnB4l2gfDBpjBNEpYiX4DJBg3/COGqIW5jHCRoO62JLHDVBNoGJIphnvkwC2LAG84RnDVoqNyaBRguU9Aaa9MnGUmaWD6p3XQPsfLw4s23ZmQ3e9GxUk/hpwxK4dpaGB9Bp3HeE68+LibtYV5YirIkAON1HuKkrw1qveUHUFKOINPc5JF35fRo3U2TTohgJI5cVdD00+feCnAi0Vu51VUkb3PHHEDNsLfjBrxVtxocxux3mqieDgtXMBNi5AKqYudAgonP6Oh8YJyOTAHgDM18P4NkAfoKIrgfwcQA3MvOTAdwH4OcBwL33GgA3AHg5gD8iooCIAgBvBfAKANcD+D63LgD8BoDfYeZrAMwDeJ1b/joA827577j1FEVRLhluePlLkPZ6+NJ7/xp/88ZfxP6pa8CbLgNgYDsp0ve8Fb1ffhNsL0TyyH6Ym56L4AUvG9zRg/fgtr/7B5w6eHjsYz/ntd+Pu/7knYVlT3rmk0AH9vZ/bn3vDyCcaZQ3laCXAnly3JqTr3HHBbNGshWNVhb4pYlklnrtYiYmaoigqLWyRu3YiZ1W8ak0AxLoun6ZPmkMtBfBZApP1CkIYJ75ctCNzytktQBI8NmakewLkZxfWcxEDcky1ZrAjmtFzKUxsGX3oIgBgG47s8peCyaQrIEPmv1rXNviYbAdDOCZs1e8ASVHYd0F+K4UcK0YI595PysUOYHblPtea4KDCEwB2IQyq2hgH6H8/tikOuPSP78xoSBzG0viQQESuHNM4+wV1mX5QFbKuaFZK5myEWVe3GnD3vFZsVZejenNMNc8FRSNc13OMTDu9OcnKcqFwqr/qjDzQWb+qvt+EcDdAHYx8z8xs/8X8IsALnffvwrA+5j5/2fvreMkqc727+85Va3j68ourGCLLK6BYMGCJCSQkIQkxN0gCXF3J3kiT4gSgYQEd3dbbJeF3WXdZXZ8WqrqvH+cU11V3dU9Pcsi7/Or6/MZdqaq+tQpGea+zn1f111USq0AlgGHmK9lSqnlSqkS8A/gTKEp3XHAv8zn/wScFRrrT+b7fwHHi1cLBUyQIEGClxB+J24hBHYmw6N/v5J1Cxfz7bPfy2V/uIPePY/BuekafXCpgFqxnOLPvkf5ir9Quv9erDe8A7nvQZXxnJPfyJ++8sOmzy+lZP8TjiHbEbh3Hfjed5K/+h/hg2g57/x4zURWExfhlPXKnbSMZgRIZxHplmBlXSljWewHUFWBlJSoUkFXNfmr6bYR+YeD+XROExKnXEtmPAcGt0X7xGBqvfPtteVKblnPORzUuY4R8aPHN93mmTATIfxyOCti81w1CUYVzFdW810qq+bhL3+O1ij0EhHIoATQh1/8bqehXjlSs2MLm4q43ynquUrbfElq7ZKtgKxYKf1+eJ4+zCcEvmGB5+jn4TqaAPRtht5NUOhHuQ7KUzoLh4TCsMk2oM8ZV7I4YmRRZQIQzhyG4T+XuN+J6uOlrY/1XdaUo0sP65W3pTO6LHEk5DuRcw5EpJokuulsQKCcoi7Z3Nl24AkSvEQY1fKIKe2aDzxctevdwI3m+6nAmtC+tWZbve1jgZ4QKfK3R8Yy+3vN8dXzep8Q4jEhxGNbttT7A5IgQYIE//+AUgoGtqOG+lBK8fCf/07/5uD/bQuuvYVLjjyTG0tjKJ1yLrR14gwMBmVcPd2U/vxbnA0bsM65ALHX/tz3zOpRNb884RMfZO2nL2L/A/bjyIs/RXZMF3PGtyOGgx4p+fPeDo9ch7d9G6q6L0W6JSg9sGxEqaCDzrZxphdMyr9YrWvxAz8p4wNNy0L4bllWSgd0vq1wJo+yUzqgBRPwOoERQTCI7nReRVqE50DXxKDfDUDnBB1c+o0P/blKacT/4c/rIFAJqQPqFw2jt/CD90bwXE3u7DRNi04sW19rJltfhySEziLsCCzTF6c4ECWCUgR9gTxPz9dOGd2Lba4lRNLq9YAJjamQ+j3w4RR1NmywW2fuSsOAB8VhXUo33E/sfXKd6POvzFmXHlZ0V65xQBtNBsefl2WBEgGZK8fYYnuenmOMFkdIiZg4s/F5Mi3IPQ5GpJskt1a6NqPkOroHzWh0OwlefrzCQv9XS1qhaSIjhGgF/g18QinVF9r+BXT52eU7f3rNQSn1W6XUQUqpg8aPHz/yBxIkSJDg1Yyisf6VFk73RqbsOZf2SRNrDrvld5fz+Qu/QN/bPkqsXmTFC5T++BuG9jmMa3/xv02fvmXsWCYNDyJcl+6bbqbvl7/krJ//kLa0v5IOZHPk9pmrycXC+2GgXwf46bwuySr0m7KwNigWAFPP7RSj/WLKhWjAamdr/kKqYRMQ+8Gd51FhEsoz5WhWNLvgmv4hfjAuZeCgVujXw0kbZdkopCYz7WO1UUHnRONShg5A7bQOQFMZ07G9EASl/hyxoLeJhbSRHL+kDZaI0dOMUO7jlPScmvmz7jommzNCML4jJUbSglI5KKEKB8M112R0I8SUuDV9Phn/WT/bMRp4TlACV+kf48T3j2myRFAphUKilO5rpARBBqbRPIrxJV6iY1z9z9kZ5F6HITKjIKDSIl735GkiOpIpRIIErzCaWlIQQqTQJOZypdRVoe3vBE4Hjleq8qavA6aHPj7NbKPO9m1ApxDCNlmX8PH+WGuFEDbQYY5PkCBBgv+7SOV0iYmU2MrhiFMPZ+5hf+ehq27ipm/9EC8UDE+csytd25YhvS2kPvJJSo8vwH3w7mCs6bty7T+vjzlJfZz04Qvp+eUvKz9nJk9mzfU3sfqGGznk4x+gq2cz6d13x+pdrQ/YbR+wJAxt10F/tlW7W5WGgWEt/PdcHRTlOoIg0HWiwW06FxFyq8IQqncravMK5Kz5mljYGX1vqiCcIiqd025khUFNZMoFTaxsFay2D5g/IcVBPdfiMHgOqqUTsu0BySqXqAR4TlEHtuVCcEJ/m+eihID+LTTVE8Uro6QVnzux0zHBPiYobyLQdx2TDZGxK/oRWLbpw9Og/GjUbmoSXDcqpi8XtHNd3PzrVBKOjCbmlcpUnOaiU5T1P6/QWaNwCWM9uA46sxMzeaMDU8rT71n4fW1vcrG1PByQ7zCx98s0q6/NTiH2OQqRjbExr4d0vlazU43SkD5XOvfqWYJPUEGitmjOtUwAvwcWK6V+HNp+MnAxcIZSKly0eQ1wnnEc2xWYAzwCPArMMQ5labQhwDWGAN0JnGM+fwFwdWisC8z35wB3hAhTggQJEvyfg7dmKWzfpBtamgyCEILxY/Oc/p6zufjO/3L4u95WOf6Cr30Sa/lCRLmIXPIgmSmtZD/0ceRc46Vy8JE8/N8bmj7/lHl7kV+4MLJt6lvPY+VV/8ErFHjoez9lwTPLycw1skgpEZNDGpFMq87GgCYwSF0GVi5Dvj1aUhbun5HOV0p4VLmI6tuG9+z9qGWPQatxRZOW6ReTqS0DElLrcUpD2pnKb2ZZGtLZmuH+wGjAh7T1fqeky/LKhaDPi2Xpc6SyOksUF/y6JZSwdDPSZnur9G+rzYT4epB6rmZ+GVYzcF0TrDf4827Zgfi8EexU/dKz2HGtKNnzMdJf7dHqMTwY8X7E2RyDaegZNyEZOIs144qmvOj9E0Z74ykYGtTlbZ5XS7pH04OnOFhDAFXPlhitjUTMOwo5GhKTytH0O+UUTW+lpHlmglcfmsnIHAm8HXhGCPGk2XYJ8HMgA9xqGOFDSqkPKKUWCSGuAJ5Fl5x9WCld2CyE+AhwM2ABlymlFpnxPgv8QwjxTeAJNHHC/PsXIcQyoBtNfhIkSJDg/ySUUohps1HrlqGefxwxeTfCwYYQghm7TuD8r3yIg84+hRceeJRppY2RMUT/Nqz+bWQP2Qfn1DN5/JnlnPblz7LwpttZ9cjI/WOOftNZ9P/8Z5Wf2/ffl9X3PRA5Zs47z8caPxm2b4BZ+wQkpiJMRzeULJY1ObGymiiES7+cUlASZKcrXe9VYQBv8UO6twXA1N2R46fqwFTIqG4k26L7vLglPbYRQgtzjGrp0IGpL5Ae6oOWDhjcrsX6PSE9S0sXojxsgnehA1W3KnDzyVNFMuPpDM9oy6L8QNpOmdV/X7Sfii7yuy46ajeWw81kZSAwQYjM3wwsreZX14XUx1ffhzhYqVrnt/B8qk8nreA5Ks9oZOpcX81UFZXrqbe2KepkXhr1efHP79soN9NTRligXCgM1R5fLuh3Jkzu3DIqna/oqkaEUwp0Y0JQa5BgIw46EZlrh9Jg7BA1SGVN/yJDvprJvLllTcoy+RfvlpcgwU7EiERGKXUf8bS97hKfUupbwLditt8Q9zml1HK0q1n19gLwppHmmCBBggT/F6DWLYNyCbHL7qAU6vkFiIlTa46zpGSv/Wexx5EHwdoXNEnoriI0m1exLj2Rv3z+mwDsdvghnPrlz/Lwn//BtpWrYs+/96kn0rllE+Hq/bEnHM/K7wZuZ+MPPZiJe+6CUGXUPocjOiZA0QSwuTZEdZdyvwdJS1ewSu6XmemZVgiOKg4HJGbG3sgxUxDDvVqkbWV0piWMwqAeM9Ma7+ZUKqBcR7ukOY4+z+B2YzUb6onSOUmTGNDjSNM00StHA34/8PZLwJSCljHGxtjVAXtpqLE2I5ULdBi+i1YliK8KhC07RCJGUUJiZzSB840KfDtgZYjMaMpRfNOBuhD6uTQykigNa/vtcKBfTRRi52QajNZwFeOEpqgfhDcyMWhmu5DUPI/KtHzLZGNOUMdJTHguKtcWJTLDfTA8gGofF5hXNELZOK6lc2CnEVNmodY+D4M9kMkj5h+PtCyj5cpq/VYj2JmgqalQ8ZbQ9aA8/bsYyp4meGWRPIImNTIJEiRIkOClhfI85LQ5qP4e1PKFiJZ21PrlqAdvgMNeh5w4PVqmkmtDDvZARwfqhDeiNm+AB2+udLp35szn9x/7buXw5Q8+wvIHH2H+G87g4Leewx0//R9KQ9EA7NiTjmLXtQsZ+8WLeOEvV9C2+1yev/I/kWP2/MC7yZgFWVEYgMIAauxURLa1fmlUOhdkYyolZSaYSmVASJRSeKufhaE+xJ6HIy0L5bkoO6vdecoFcIuQa9e6Fp+E+MGkbQOpaNBop2Hjcn3a1jGIjCm9ybTobBIEFsfhuXueJiTZVj3PcCAvZUXArqsRjD2wZYFl6YacAhOo+6YExq3LrKgLVTbB5Ag1V6OOUqSeh1PU1+QPL2X9UquRYKdAGo2L7w4mpLlvVpCxKcb0zameW5gY1GRSZFVGSulxPaeSrYvAP86yoWOivte+I1q52KAkThJ736tvtVs2Wa3qHjGmoabn24DXt0RWvh14DbyAiDUF4+xXGkLYGcScA1DbNyGnzkHIsH5Goa8vhtxZKTP3MpET70i1vu8ymK415kiQ4OVGQmQSJEiQ4NWAwR68we2IrknIOfvjPf84rHpW73voRrx0BnHE6xFtHTqQkKlKKYzARUyYgDrjAtSaF+Dh21m0bojuNetqTvPEVdcgpeSTf/sNT973CLdf+jsADn/HW9j1yduxBnsZv2oJnWe/huHDTmTZO95b+eyMs85g8u7TqAmUtq2DKXMRmVYdRKZSuiyqXNCBbq4tCHh8xyzQ+2ydZVFb18LmVZBt0Y0mvbK+vqHt0DomONdwn14RRmnykW3V98NHJg9OCaUEamvo+ge6UQPdMGGGJkU+wmVd4aA10xrtWeM4+rqlHQSxMQj6yRC6Typa0uR58UFyNbxQkDlSvGiZkjifkFXGliBKtaLx0UAawuL3dbFsPZbn6uesmrgeP/vilwjWlG15MaQhpUu3YvU+OmAXvpudQM/LslEp02g1XMron9PyewOpqPtdLMLW0VLPpdoEwHPN72LttYvSMKraJCL8uR2B5yC6JiI6xukSysg+z5SyDRlLa0tfg/KM9ivmvfUck8FrMivjwynokrp0bsdJcoIEOwEJkUmQIEGCVxiqOAT5NkSuFbVtPYotqM1rogeViqi7/oXqmoh4zVmBoD4EITyYPpPCtA/x7Pd+WbPfx4mf+CAdv/gOx0iLvb97Cfc89DRHHzQX695nK8dkp02h5fnbeN2Pv8iKhat59le/Ze+Pvg9LxgRgHRN0IOmWdMDoGG1Hti1YtQcdQIZLX4xWQw0PVLqVi5nzEF5ZB4D9W0xgVhWwlYY0oci21gZgpSGQFsqy4jUDm1ehUllE10QY2G6yMWXdjDCT180TM9koWXFKVHq7DPfp8zbSq0ireT1LQ8RpPAwRQJgVeAKdDcQ4n5kx3DqZjdHAJzTK9GUJB9IpYwxQLyAumvs6PKAJhpQBORBQ15zAKcdrMnxSFmdRjFcrTE8Zw4aI3keGSu1ELRlznaDZqOsAcUTNg2wOhuqQuHQWCn3RbfkOo01pQGZkqkobE8xJ+Nobv6SxcuFS38t0i+l58xKJ88MNTR3zO5+Umr3sECSuZTDKhpgJEiRIkGDnQild76+2roferYjxu2gL4HFTYO/Daj/Qvx3vodtwb7wSJdI1DlhCWDxwxXUsuPIaTvnCZ9jr5BMi+7OtrezfIhHlMqJYYPxVf+GtZx7L1AldMG1XfZCdxpo+DUoF2jc8w74TBnj9df+gs11C15QaC1nR2hn8QRXKfJmOaRWBvCnR8nu7mJVcpRTeuiV61dpOI/zGmn6AlmnVwWA1PEePaadrVoSVsFBP3q7L0lpreijrppib10DXJOiajHBLxmFqQAfkcQG/UlAq+Ceo3R9GMyvUTcUfoXE8k9XxS+mUo4N8v3mkD6dUG/g75vrCwb1qIJQfCV5M9kSpEYiSF5RgSctktrygAaZTrHUL88vD3HKQ0bJSlSxe5bw7DFOO5pZNQB5ziOtvb0AKGvWUccqmn1Jr8FwcU95lpbWuJZ3TWUb/K5UxpXM+CS0HX36WqFwIxpO2KSU0GSbB6AT5btk4840AO6O/lBdkVh1jc14uJP1mErwiSDIyCRIkSPBKQnlQGEK0dOgAe8nDUCoiCgMoW8BRr4e1y2GlMXnc42C44rcAeIseg9ecjjz0WITJPvSXLf71ua8BcOO3fsjEPXfntC9/lieuupb1C5/l+E99hMHWFJ0HH4bz6EPQ3oG1ZQPFW67BOuRIUme/HdHRAU/fX5miEBZtE7sQXgn6Nuu+KWOmarF9riV+VVDIqDtWuaSzMdLSwWOqRW/v2wabVuqP7Lovwi2jrBT0d+tVaaegS8Vy7eCUNekA05yypEt67HTFHUoh8TYu10HyuiWoTA4xfS8Y6onaPU+YbhzNhnXpW7lo9BUmKMu1Bc8HdGapaDQijVzKdqRMpx4i9zWmA3w9Zy3lUqOV8MpaoiIzQcC5I6u5blmbS8Sh2ZK5clHfp+rTC2nK1owVcljIb6VBhMoS/YaVSoFIj9z3ZfTNagL4zUYV8ffbdbSDXiGcAZSQSiMsC5VtQSiFyhs3PIXJtoiAFNRFA2cx1wmMInw77XBmblTXaCzH3ZjrszIgYshr5POmaWg6n2RmXi6IBlKw/4eQ3IIECRIkeIWglNIBRNsYVCqD2rxKB/aFAQCEUoi+zTBmLBxxOszcC7V0UXSQe67D+9HFuCtX4OU6ufb70ZKyTYuf5/qvf4/2SRM4+7tfZ9WCp7j04m/wm/sWM/DWC2l534dxb7kGAPeR+ylc/R/E5Clw4DFU/kQccoImMQZCKUTvJh1Eto4h9k9JOl/V+NJkM0LN9ZTy8NY+r7dLiWhpNzfGWA7n2oIyqeE+nZnJd+jzlYv6uEyLPqY4BOm8Dt03LA/mURxGLXscVSrrDAxAtlU3S5QWAqXHVkpnf3wM9+sMjDClXGFBd3m4thcMRB2glDD6jjrwmgisXYfKvfU8/b20g8xF3Bz8Y+3Que2Mvu9KRUnYaFbQlTL9RIbql0QJpcvz8u2Nx/L1NnHz9puk+pmSsNNdOOB3S3q/L/C3s42zCs1ca6NDKv15wtchg2xIyryb/lcub5preginCG4J4RQRbhnhlTX5d8sja2W80D2o2RcqF3SKUaIx2p4vQoGIeSapnCHBTWh6XCfpN5PgZUdCZBIkSJDgFYIQQgcipWGdaeiaDGOn1R7nFBEDW2DuATB9FoydFD3A8+DqP7LlnrtoGT+Ofc84rWaM5267i9LQIAuvuxGAlU8t5E+/+Tv3LFpJ4Zx3QYduIJl7xzsRD14Hix6Cg4+DA45BjJ8cP/+2LqRTAKl0sOwjlQuskpWKip1TmUpgpro3QM8mvX3XfRFOCSVsbb8sZVRA7fe+KBf06nfW6ABC0Wf3mjX87dNfoS8/pTbI37oatWSBJl5dEyGTqxL9m1X3fKdpFogODId9fUNVcFa96qxUkFHwz91wZbpqvEpQbHrq2Kmgv44fyIqw+5kZQ1rmWL/Bpfmz7pRN1iJtrHnN8ygVRy80V8ZYoVRo4lgjKq8O+u20Lq/KtppMTAxr8DydhQvDv3a3QUAvhHlX6jER2dzS9UhkxxPmnhqNiO+U5pZ1dlA5hmCVdlzMX42RMlyOMXLwdUeVuTqjF+G75ejvsZ0dfXbRc2MbeSZI8FIhITIJEiRI8ApC+I5ZAz26K302BzPmQfu46IEtHbDiKUT3KjjyODj9HRHtiJq5B//8+V+46ds/Yv3CRZz65c8y45CDKvvnHHsUz1x/S2TIA990Fv/92vf48gcu4c5xe6Pe+3Fk2QTuSsHT98H4aVoYn6taZU9lA7LiukFwbWeimhbXiTpW2UHPGLViYeUw2WacyYTJGuQ6Q6VgukxN+OO4JT1uS5cOINHZrQf/fjX3//6vfP6gU7jngRdwuqp78Hgo10EM9oKwUGGtS77D6BBKeiU936EDw2pXtMoNr/rZNu5UFc2KpzMX4eDYf9Z2SgfsfnmUnQ6CYlSgfVGuDiQ9VweqcSvdnmuO9Ut/VJAlkDIouXJKeiwhdaBZLpgypzhC4Qbn8jMxI5WL+RDCZIRMQJzKBOTFD/JBj+kTPt8aGPS9D6P6/vn/2ube+eTRNoG8FVdSFSP+j4P/fGQ6IJS+PbeUxgDCZI2qxxOqzrnroNlsmOs0JmGecQcMGxOEr2e0cF1z7c2U69WB8vQ75jT5ziTYQQiEeGW/Xg1IiEyCBAkSvIJQnqfti02PDqGUzhR0jINd9ja9TNBEYpvufSK61+EpQXHi3qgjTwEpWdM2g8X3PgTA1uUrueHr38NOpzj1yxfTtct0Zh95OKsff6Jy3j1OOJYn/3t95ecbf/Mn7l28jkeW9+POnq83jp+GGDNel1LlWmHCzEC83zVBl2X5KA3pTEYmVCOvjM7BdzQKWQB765ZWet4wY57OxkjL9N2osudt7dTlOdUoDlYsdl94einXf/17lV3/vPjrfP3097K20ILy72E6j2ztBDzo2wy2jUoZ+9jqANotB65rsajqxREXmMq0CbD9FXw3ELf7mQu3HP1seBrh75UXlHT5h4dPqUIb/SxBXCDqlvR8lNIljKXhgGwqY0lcEdmbBp8N+7JUzcFfibdsff9QMfOQwX0RMjRXn8yF51sOdDO+s5jnamLm+vfR0f/6OifL1u9FKqv1Hc02AfUJm1cyJDIksveJS6P7MBI5kZbOcqRyzc3HSun+SNVZqjj49yQs8ncdIoYRI0Ha+nxC7JyMSmkoMQFI8JIjEfsnSJAgwcsMb91KVPdW5LwDURvXoPp7kW2tkVIq4TqAg5owA6SNeubeYIBJsxj44S9QG9ZRSKfJfuFrPHrdPTXneeG+B3nhvgc5+wff5PYf/SKyb7fDDuGGb36/8vO8U0/k0X/8m03PLeHf48bxnh99kdmHHon0A/x0DoZ6oa1LB2OiSkwutbg5YotbHA4C03S+ootQvVtgw7Lgo50TjDuU0Q20dAUkJ6xbqUY6C4VBhoeKrHriGeafcxaPX3FVZfe2VWv4zknnceQF53H2p95NfvJUKA4Enx/uhbbxkG4Dx4txrRI60M+2h8iBeUZuWa/YK3SAGtcrJK43Smjo2O+bQb0sSo3A3+97UxWU+j/7Vs3+HFOZQEDvlKI2zn5pV6OSKSsdaKHiiKdfdufrWqgS9PtzrpRT+aV6EtxC4zKniC9CnQyMnQ6ubSQiIaoaeIbHroc47ZAIZYnckDlFXLbCv1alAtIbnnt1w1mrKmuiPFP+lgpInp02dugNIKXWx7gl/fo0cmEbCb5FN8rYgrvgFSCdSZTpLwWqF2D+H0TyViVIkCDBywzVvQXnLz+j/Otv4/zhJzjf+TSl669EWbViZeEUtWakYxzMng9IylsHUBtMs0fH4dlHnmbBVddy6hcvZtbRR0Q+L6Uk39HOXicdX9l2yPlv5q7/+X3kuGnz92fTc0sAGNi6lQV3PwJLFqBcpVeQ/TIvx1jhKg9VqacXkGmLlrKUC0HAnMpURMnKdfBWhQwLdpsPykXZaeP6JIJA3TJNPwe6UXYaFRaIC1HpL/PkTXdz5acuYcXDj3H6Vy9hwtzZkWu7/0//4OpfXg4oSOWDHa1jEMVBGOwJHNXC53YKJuD1mz6GSnecos5oFAd2TNxcb5G6qe1+2ZcXPcCK+ZPeKGB3StFrKptrKgzUBs2wY6VKYfgkwr/HPmmpmbPfl4SgjDAO0jaOdRl9f1KmJMr/CpeFuWV9fX7Wwids9VDvtnlOfWtj5ZeXmYxTKqu/98r6y38WlfdFBnooaZvMmCktrH6nKmRUUiF4btXzgxCZMudySlHdSzWstD5nmBB53uhdzxCmRNJkhvxslmd0Q8XBnacbSpAghITIJEiQIMHLDGufg0l/+ZegFGqp0YncfxvlL7wPd+PmaBCRa0M9eResXgzLnkDNPRBnSSibceab+ct3fkHvuvXc8M3vUx4ucNqXP8v4WbonzDEfeR///NjFPH39zZzyxYvY65QT6ZgymaFt2ypjHH7h27nnl7+LzPHk95+P2LgCdevleE/fj3LNin+mBYb6dQDfvw0lbFS2LdpDxO8vAYF+wUBtWqmtlQGmzNEZn4Fu7dZWLmgtkK9JSWeDTMdgj3YgS2V1TG9nwC2hlMJxXOx0mu5Vq7nuq99m8l57cMKnP4Y0K8vStjnri59EpLO6RK5jkiY04cDKKelzSFPK4we5qWzIsSmufMzPHoS0KX4g3WwNeb14OuxsFg66w9bL4dXzWBvsmHGFDIJ5QfPajkaBqFLEdbePfl4FuqrqCfqkRFqaJCoV3JcweZAyICmeE9j++iV74Z4r0pgjKKVLBH0DBf8+pXMNSInQ5xfGfU7aRBpB1oOd0oTSz+CJmIfrOZWSyIoeyicqcTbLoJ+5X9aJCo5zSyZDWkUyw++CU4y/zooOps4cm4bU9zeO/IbnXxhsXmuVIEGTSErLEiRIkOAVgGhtR847EPeRu4KNnod76ddxDziS1Fnng20aZYaCCrHkUbKzu0h96SsU77mPhzf3UxoKxOirH1vA6scWsN+Zp3Pw285jYOMmnEIBp1Dgxm/+gDO+9RU8p8iUeXuxfuGzSNsm39bOUE9PZYzjPvweWv72U9QJZyM6O2D5U6hVz6L2OgQxZ39EODhTXpTEVLuUhQJHVRhArXlOb28fhxgzSfd30Rev/xnug1yHJkBDvdGb5pY16WntqqxYCyE4+s2nkGnJc9nb3wfAU/+9Djud5qTPfpJVjz/BUe96C/l8Rrtu5VIIp4jKtyOUV1viIxt0p49bwfdX/JVTG8g3u6qtqu5nBeEysarSMb/0yQ9gpQQssAWVwNQftmIUYMiB5xDp+t5sKZHn6mcdWxYVKiuLg52lplRL2oZI+dmI8E5BpdeKT6L9kimvKmBuJovlGUvvMCo9VzJV+iMVlICVhw2ZDV2zdOPL7PzSqaasnlXtfMCQ0zolfOHfqzDJdQqmzMw3wzBlgKJeKWCTxCOunC0OltUkQVHavjvsapjgxeFVIrh/JZFkZBIkSJDgFYC3ahnuv34fv3PB/ZS//CG8jZtgaJDq/1ULz8EurCfz5nPonDCO6fP3rRniqauvwyuXuec3l1W2Zdvb6V6xiuu+8l3aJ03glC9cxClfuIg7f/4/lWPsbJbD501FFodR1/8N799/Qk3fC6bOBiuNCPdTERbk26PuNU4xKIsJWRErpfDWLtGBUSave8Q8+wDKzkZLljxPHzMcbi6IvgeVJpXmPNlWkBZ92/u5/We/jhztlErc9J0f0TZ+LPu+7nh9jnwnwgRcwhd2t3QFq9W59ioSI4Pg0ErpoLYGRrQfV17WKJ4NExZVRVj8gNjXuOgZm9V+W/8rhFnV98u0/F49IdczP0vhmYyF6xC70u5VkdFGiLsmacfX6lcyVFlTXuUZvYa5PmmC6erSMZNt01bT5t1Q5frBsgxlmHYIfqd6c39844N6D9AnG/rkgU228povn2p43I40Kq0S+ntudBzfWtk2ZZ7NEI9wH6N6sNKjz7KUhxMTgAQ7DQmRSZAgQYKXGUop3Jv/DX099Q8aOwGefgh1+aW6FGra7tH9uVacW29hzrV/5sLDZvOWb1xC24Txld3jZ+3KhkWLIx859qPv477//SOg+8rc8+vLaJs4nuM++RGkrQPm0z/7USY9c2fwocIQ6or/xXvsEcRu86LBUksHIqxbcZ1ASyNk1J2pZzNsWqm/nzADsWW1/n7ZAtTwoC5Zg6CER1UFt62d2n65bawmIULoYMhKs31rH+ueXkgcTrvow9iDWwFRmzFIZXXWR0hNYmp6n6QI9Ch1gq5yTM8UH/XKhCBaFqZM/5SKlXCohwwiKM1TbqAxqZRUOcSu7I8aTQbPbjmYt18O5sXYEdtZfS2eV5WpCjXrdIq1+g3b9L3xMzB+RqCensafU6WcLESKlRf01/G1KBXdjB0cO2I8XcdcwS/J8zUh/lyaEbV7rnEji7nvjd6b0aCatDplc2+bJBDK0y5mI8EvpxyNmN9ztZFG0jxzxyFI7JdJSssSJEiQ4GWH99xTeA/e1vAY69hT4U7twKWu/zvkWhGnnAuqBFtW43VMp3zdTwHIPvM4+z3zOLPe+waeUS1c/8NLOfj8N3NDyI544u5zWPfE05FzvOaD7+YfH/oUUkpe+4kPg+cxv1PBptrgQhxyrK6gyuRAtOhAxM+QQFVJmdBZFxPwek4JtdoI/KfuDmuXRuO3DctR2zZqomRnoNAfPXm2TeuJAFGKZkWUgF2md3DRHf/hpp/+jif+9d/KvpM/9wnGj2/TZTjpbNTCWaa0qxoEQXBLFxAKupv6Q+2ZjugxJTieY0hZVRmXbyUsLBAmA+MZC2EsTQbDjRCFT6j8IN13houbTszGZgLj0QSU0tbaD7cc4lD+eaXOFPnicdvWc/KdrHw3ssp5jV6kXI6WO9mpaHas4l5WPRcZFc+Hr99z9TkbXZuQIz/n2PvsGnOFmLGlFS3dC8O3kvadyexUbfmWTIE7ykaUYKyqG2VbRlEu5sNp4FYn7Vprbcu878JYXtczjXCNnbjnNNYqJUgwApKMTIIECRK8jHCKBZwnHmhcVrH7PrDm+ei24QHUVb9HPXgXau6hlO6/v+ZjrXffxOH3/YfP/u6HZPLRle6Dzn0Dz9ygG2JOmbcXZ37na6x8ZAEAnudx+49/wdTdpjB21kyYd3B04Em7YO2te8sI5SEQ0NIVU1Jmgp1MLrIyrh64VfODKXOgd0tUY+OjNIQqFmpJjN9Tpn8bYKFCAY9SQtfcA7vsNol3/ugS3vPX3zBmxi5kWlo4+aPv1lmc9jG1uhcpoyvWvs4ljHrlX9Wo3iftoKmgsIPMhZCm5wmmtMYNbHL9e+ff0jh7Zv/fajIwEqpNAarnOhpjAohaNofPkc7rbEskuDVBu1syGScrmnHxTP8Xu6pEySlW7Lr1PpPts6uzGKHrkjGW4CMRtHpNQZtBvXei+laGG3i6TrQHjlOqdYNziy/eIS4O1ihJDACqfqYlbrvfLNQ3/KjWiSmpx/Q1Sb4JQLmYlJol2CEkGZkECRIkeBnx9HU3c/P3/8r5H3s7E154HLFuZc0x1rwDdMlS1wR49M7ozo1rEOtXkx6TQb73IxT/9XfYHjiQ4XlMyHhMLD/PjN9/nzuuuoPhwQGeuf6WyiHz3/B6rv78VyLDzjhoPnsXVsNtS2DCNMRpb0U9+SCsW4E89VxELmeOFJBtQYQD43BJWSq6uqrWr0Td9HdUqcDju5/CzL13Y3w2hyhW6U3GTUNk8zH9WEIlRcO9YKVQLR26aahlGQ2RRjplceBxBzHzmj9TVpKMZ8Ya6IaOiQGZybToleZUJph3tT6mWuDtlwJ5ZSpWs/5qfrhXiL/KDHpbeTC4L/726kB3JA5R3QDT7w/iB4O+RkUREwwa8iAkCNMrR/kn9YzeyHeYa1I7UXeeMf1bwqTGOFnrrIBjyJOZr1OozRZ4pjQsfE1+hsAPokWYkIpA6+Nfo6yaTzVha6SFqZgm1HMSc+MzHJXhpM5IOaXGmpi4njUj9expOFYMZDXBHAXccm3Pmuqf68HxdTaGMFoy/h0rDRsynK1/DQlqkfSRSTIyCRIkSPByYvkDD7PqqYV8+8LPcvnCXvpPeDO0dgYHzD8cHr8HbrsKFjwAx70B9jwg2D/vUNSiR5Brl5Je8RD5884h8473QloH0taxJyJXP4ksFpi94n7eeex0zvrsJ1AmGNv9+GNZ8O9ra+Z10tvPpmWt7iMjNq+FW6+ErrGIt34EudsewYGhxpaADj58AwBfi2CgSkXcq/4XhgdZscdx/PkDn+arR57JPy69ioGWSUGWwE4hJs7Un0+H+rwApFs0gfHhlqFvK0rWE9/D2MnjmDQpdE+7JmstT7ZVl7x5jg4A7JS2e27p0gGunTHCcVsv1EsbJSxtVOCW8RwHr68bb2gwCMKV6UYvhBGoh4LPuBjDSoUC3bgysPq7Ihv9LI6dCjQqYf2KlQrsel1fGyFCFsVGZD+SffNo4Jbjndosk43wV92dEuDVdqKvXsG3bD1vt1T7zlWak4YzMESNDoSi0nzT/wrrafw+J/WYZOVZxJVVWUEvmpqMihNcRzMZkLjsyw5rR+qRshf5bL2Q8N/OjIIUeabcTJnPNSDKTklnZ5J+MwlGgYTIJEiQIMHLgOG+fob7+3n2ljsq2x695ma++PbPcDNTKR13Nkgba8Zs2LxeHzDYBzf8HTasgxPOgSkzEVNmIPqCDIy19HHS65+i5YMfJHXGOWT2nYfo217Zb0/blU2fu4Tjpk3gjV/5LLsffwwbFj0bmdt+Z5zKnt3RbQBi7QvI2fMQaRNsWim9YhqGY/pQSMuspgYBk3ffDfDCIgam7s5/Lvs3ngnO7v3D3/jc/Nfx0KNrcDonw+wDEOWC1r+4Zch36AGkpYOgsBbHx+B2HbO1dNbuy+T0XMZMhnG7BGTDLdcGSZ6rsyyVoFbiFQuoFU+gnn8IteRh1LLHYdt6eGEBbHgBNq9ANfPnU8X8IESQ+YklLX4WQOlrt1LBCrXrGhtjGXKp8vuw+AJ6NyjTKheqSspigtzKirncOSvhca5ofgmdPiDYbmdCPXoIOt7LVFToD0ZnI6OflfbOCXrrlTQpD13a6BnzAmMSIIyWp1zQXzX3zc/yNElGvKpmq2C0Q7UNckceq07/l0aNPJuB8kwvnjR17ckbwc429znPNe9kgpEhTEb4Ffx6FSAhMgkSJEjwMiDT2oJTKNI6flzNvht++Qc+e+GXWH/mB1CFmCzDxtVw3eWw35G6u31LdWDvIRfdT2bfuYjF9wWbpWT7dkVh/QaGH3wI61e/YnZnG2d+5WLsdBA4nfqB80mna1fSxfFnI1tbdBCSbtElWeE/XspY/UqpBbuhgM57/inUDX8DKXlkuJ0VDz4anbHn8eePfo5LjjmPh666mZKpdBZKIQqDutQr24ooDuqY0A/UUzloHQNt47QJQCoHY6ZC52TzNQXSLYhMHgEIrzzKtWiFELK2xC2V1cFg+3jomozyHFQ4gK12zKqGL0IPx8z+vQyv+Fesl0NZlorrl8kAhbMTfhBeGcM4m/mZMVk9x6qKcr9RJBgXuBcpug4H5RWr6Hqhhgn2fftknxR7bm05l/JtqcP3J+SWZqdqeVqc8cFoIGRw/0qD+v74GaLI3OLOM8JbZ6WCDKBbCmmITPZKWhVXvlHBzxRZMcoBz43f3hTM9YxaY2PQqMeQD19L5CTWzAmaR6KRSZAgQYKXGOsWPsvYmbvw0J//znBPL6d+6WIev+I/bHp+aeUYKSXewqfpv/sG8m+/AHt4OzwZEvTbabx1aylffQX2CadjzTsC8ejtwQqsnYZSCVEOSje8A17L4g9/LTSGzYRxGWY5vcz70/d48P5FeK5iyvN3way5cOBRcPd1MNgPUiJ23SMombLztUFQuaBLtDItkWBVDfbhXflrcB1W73Uc//1QVI8TxsCWrfz5PR/lyk938N6//Y49Dp+P9Jxov5pyEfLtxgHM1TIP10UNDaKGB1ED/aj+PlRPN2zbjLdmBWpoEDFmPHLGLOxjTkRWND7xUEKiBvpx16zAe/YZUocdorM+PvwArqUDtqyGrWtQs+Yjwo39hEVU6xAKxmwbyo4xFPCD8ZDg2ddEeFWkxneAqqzuCx1T2qaHjE9sXCfarNI/dXXGQkotuPatkZWqcsjaCausrmM0Gb5WqA458kvJSsOBJbOeNLHhiWuyCq5p7inTRJpj1hgQ+MePoPuJW1m2UsH2kbrcO8VaTVVYG+JDWuY5e0EZXriETHm1JMktjayXkdK4hBE8/7h7rjwznTpua40Q567WDPzywBHHz5hePv7767/3CRI0RkJkEiRIkOAlRtf0qSy5816euvoG1jzxFGueeIp5p57EAeecwV2X/i/Dvb2c9pmP0HXjv8DzGPqfX8KESbSe9xbkqkWw6nk49vWUL/8DAM5t1+HcIUm98XysljQ8eS+89my49YrgpOks659ehVcKgo+ZH3k/bRsXAh5TtjzL2XvlKO15GPKxm2HNElizBHXYcdpROJNFTJisP+ivHofhNw9M52tW3NXm9bBtIwDPLNmA10SpyHBvLz8/7c2c/d2vcOK7z0XYtnYcQzul+SRGlcqU7r0d58+XjqgjUIB33604N/6b3M/+gjDBm1ICr3sr7rLnUCuX4W3egFr4eMQ4wD7iiCCkbx8HW9fpEreBnug5pFWZZw0HcN3AOcsPMD2feJS1rbKfefAF32HhtxS18aZAZ2j8bEP4uYQXsd0yWBk9lk9wKqVoIVtcOx09h1tqzu2rIbzm42TXkLfSIGRag0Dec+IF5W5Zk4ZyGaxQI09hgnnP09qYylTcKgMAFW3AGdYUgbm/XhBQv5gmm5ZxW7ONRqS6tLHZrEO1GYC0DHEx1tKeS80N9zOE1QTIN4oYDSmpLvOTxkJ6JJ1MU++RNA06m8lyJQhD+4y8Osq7XkkkRCZBggQJXmLkOzpIt7Sw8pHHKtsW3nALC2+4hcPf+Ta6dpnKvHJP9I/+5o0M/Pwn2PMPInfaO3DXr4nu9zzKV/6Fcmsb6be9F2ELOO18WL8aHr0DZ/9jWX7hxZXD7c5OJsyeAJsCfY3c51CyD90amatYsgCVaUGc+9HAXjmdq121VkqTmKpyKrVhFeq5BcHPo7hP42fvxv7zpqEeuAY1eVfknodq3Uw6j1IC5+knKP/gC6MY0aB7C+5qnaXxXngOMTwEU3fBmroLcp/9wE6hhodRPdvxeruhfwARLveyTVlZxwTYukZv6xgPq59FSYmatgcindW21BGEesxIGehBRqtFqbZijvRKMUG5tAJ3KTz/QHMuS7t3VYLzdDAXN5w5MC5b7s7UKISu24ef7fB7qfgoDxti5c+tpIlapJ9MOij7iyS/jPlCcciUZhnNj0Q7AIbfX58IgLnWEQTozTh0VWdtfNJYr5cKBKV+I2V8wiYKPiGqaagTg3qZHKcUZPGaQcWVTwXX4//e+01cq7OJoO9xo/tmpfSYccfsrKagCf7PI9HIJEiQIMFLiNLQEGuffoZH//4vnGJticWDf/wrHWmbtvHjSZ9yVs1+54nHcIfL2PPnY5/37tpO2wP9qGIJsX09YttqyFrwpg+wZX1f5LCZH30/uU2Lgw2tndCznbilc3nc2ci8cQ9L5+Lr6u1UDYnxymW8e65D3XJlZduMffZg0h5zaz8fgzd/7SLGOYZobViBt2IRStp4PVspXfGHHSMx/twevxdZ6sGeNgH7mNeSPvgwrClTEOk0QgpkSx5r6lRSe+2DfeiR2rLZhyXNKnQoGM616gDUKcHKp1GbV6MQtZqGCmmJWTkNjxfXPyYOCrSlsun/4usKZCrQv4RLdMpFKA8RpZRV7me235kdfT07M4j0e7uE9R9+j5G4XjTVuhanGNzTem5ZQugs1XCffiblYSgO6p5EQ7212iXPNZoUGDF1JET9HjxhuI4mvHbakNZyc/1gRhrb1xn5bm+jscdulA0ZzQqDn33xnxsYvU06sO8OX6dSI2t77IzRONUhZElCpjkkYv8kI5MgQYIELyU812XLCyuZvPceTN13HuueXhjZP+Og+Ux/7gm2P7EA2d5O19vei1r6LO7DWh8j95yHPWMCsjyA3GUc8qKv4C54DPfmq/UAc/ZEdmZgWK9SC+VCymZSV4n0T77Nmr9eidM3wISxQKjdDPOPQbR1olDwXJApYu7+iF12D1bGm3ROUn3bUIsehCNOREyegVryNDz/JHs529ntpL3ZeuEb2VBQbNraw5M33MqWpS9EPn/aJZ9ij5aqZpgrnsFt6cT975W4D9ze1DzqQe4yA154Uv8wflr8NRQLeMsXIabPCTbm2nQg19YF/SFyU72a3dqJ8Muy0lkomaxB3B97f1Nc+Yy/SZiMgpWiUn6jCAJrEe7HYUq5lAc48SvxfmYIgrKjirGAO3JWYEfhl8fZhsBUB9fSipYgOQX9zvkZJn++1ZkZH0Jqy966Ab6iLjv0TRGcEchBozIny7iY+e53NYH5CBF5XdIY6kFTOZdVm91qhEYaIc/XVDmN59jIGS5MKsP3yM7WF/f7PY1GynAlGZkETSIhMgkSJEjwEmLbqtX0rNuAWyyiYoKQ495wKuLy3wPg9fWx7Ve/JDVrNzre+X7ce+8k+4Y3IZ3Aycxy+5H774W1z364d9+BdfDhiOGQKL1jAix/FlnoZxz9dLz3dNwZ80k9HSohGzsVMWa81ozsewjM3hv15P2wdhlit70RyoGSA/nOplbdlOfhPf8o9GzUX+NnIXbdAy+VwluzHnvFEiatWMIkc/zxp89n25Q3s83Os3btRoqDBY46cndkeXt0XCFQy5biPnRn7UmrMXYC1mFHIdItOHffBN1bIrtFKrRinI0X/qu+7fDUvahSATF2XGAysGYxTJ6tRf4AnZP0dYbHz7WhHbeMRqOyIt3g/gkR0mDIaF8Sz4uKwp1QWVjFwcvAdU25lhFW+0TGLQclRMoxK+WmrMt1QYWIwUg9PnYE0tYlXz5RicsQ+FqhtK1F/3hB6ZidNcG7U6v58O/TYE/jOVgp80zq7Hdimj1Ww3O03sg3RRChZxUO2F2TKQsTA7+3T73siFtFNixff+LUlqTVmEmMBEnD9893HBRWLTGvDNGkXqpCju36JMbXczXVgyZJySRoDgmRSZAgQYKXEEJKdj3sIFrHjuXWH/48sm//s09nl2I/1X/2yy8sZ+vPf0Hnhz6CPWc36N0QWTUWysWSLvKcc1Hrl0F4obp9LCx5ovJjqrWF1LIHYfIMaD8AnroXsf+RFeG7QEE+D0e8DjX8GsT4KfqDdrq2pEypWGKjutfD1rWVn92tPdC9FTFpN7z//Lfm+NSyxUxatpjpZ5/HAd3rYJ89EV1dMODCkC6JU8JCZcdT/t1P4gOpfAvW0Scixo1FpizYsBq2rca68HOkXv9GXeY1NIi3dSNqy8bIqrLItNSOBzDQq/9d/Cgc8wbtMlaKCcqyOegPzSnbig4Y/S71vgbBkBDbdCv3ncY8tOOWUvUzIWFBtr86bYVE0dXPQRCQGMcJaRgskEr/m6rfRHSnoxIA+656DUqshBHgV5tpOQX9cWlpsiEk2qlN6Vs9EokBk1H0tUqEVvqFMQUwY44Ev2GqArxinftoTCm8KkIo7ai7Ws3YUj/viv6lDkaTNbPT+j0YUdtj+sPETyxe+1INKYOyxmrbcgjc2vy5NEOOkoxMU0jE/gmRSZAgQYKXFKlsli1LX2DxLXcwsHVbZN+++85j6S03M+c9H8S9/27Ki6NNKTNjWxF//znq0OMRs+fBllXRwW1L91nxMXEGPPtI9JgxU2DZQti2Qf/8mrOhraOmW7nAQ0yfhXBKgIjvGRNDZJTnovySLUB1TKT8059CYYgR0dUFK4AXFqNeWIx40wdgzWKU46CsLsq/+VHkcLnvIVh7zUNkU9CzBZ5bACtCAc+Bx2oNubQQw32otI3oXYdoy8O65fqYdB5a2qnRjLhlVMiRTN19FeLUC2DbWi3s374pOLzahW38jAox1BO1gkyI7xYWVxbl+k0oPVM6FepUL4y7mE+IIFq+o+poK6Slg2blu0GZZqCeU+s8F4Zy2SFb3noYKXivOV5Cuc65PRc8QxxSWX2fSk28XxDcd6eqbNHXpnie7pFUj2hZNmAsyJsRx8cF4PX6zFh2oEtqhkx5XnN20v6xTTfkrENURrJc9g0A3LJ+1nEOb3Zav4PhOUfsxBMkeHFIxP4JEiRI8BJi89LlbFryAr0bNkW2H33hOxj4058YXLKUJ7/5Aza6afLv/SBy/AQA2s49j/Ry00Ty4dtRl/8CpVIwdioAbucUVl9zO96EWcGgMl3JaACw6zx4JtSLBhDjJiHsmICjpTMI0LOttdmYeqLnwb5IAKMK3sgkxk6TPv/dyP5o+Ze68tc69m2ZRvmynwFgHXEsqbe9j/Q73oudKSMW3AYP3AjPPlazqis6uoK5ghaOOyVdHjZosi3T52jyVxzSX+WSEbgr5L5HwZGnB/O54U+oDWuha4rOdAF0TYLt1WVlVRke5elz+yvdqt6KtmkGmTL6D2HMAqy0LmuTIsis2GkiPYMiK+0ycOFSZr80pVrhHjFOjPjczgQ9POquzI8Wspbs+XG6ldIBcnXQ26xwuFwYWUAfhlOKD8bDpW7OMHWd5BxHk6ZmHb6cQu3vSaQRqcm+CKN3ccqMUnnf3GHNGBT4UDHjSrs+ifGzY74BgA+3HHqHZKhcsVqv1cQ1JJVlCZpEkpFJkCBBgpcQc485kt1fezTbVq1m+9p1PPXf67Bsm9mTx9PdH6wSb7nnPrbccx/T3/QGJpyxKy1TuxCL14RG8uDWK1HZVjj5zWy893Ge++YPWfL9NPv+4KuMP+wgxEPXRU+ezsJwKGOz58HQvwUyed0bZaAnCI5zbQinqIOPVIOV+yqobB4xYy9U2xjo3YxwU6Tf9m6Uo/C2bcV98C4YCK4z9fo3IieNh8fvjBARNX4qTN8T7/nFuMuuoXjqeSxa18P8veaQuefq5ibT1mm+MYFSJfgMBU6dE6KfCTXsE5SgWFUytPp52PtQSKdhxt6mC70VkJlce52gy5QZua6+zno2u245COyUa8rNzIDCdHeP6Fd8kuAFehfHCbrA+wRHES+6libD4OtNwpki5dUtHxwVLKs2a6DMfPHAMZoeX2fiuaMsJdrZUa6sP6SdgtJotUMxGQcptRbIc6M9fEbbZDJil90Ao+rDEmrIqicbz5fCVsv1npewtMtfPVtlGLlUDUiYTJN4lTiHvZJIMjIJEiRI8BLB8zysVAo7nWbMLtOZvNfuALzuUx8hXyywy3veVfOHaM2VV9E3XCaVlTD/NbWDFgYor13Nwi9+U5+jVOLpz3+Tu/58NctT01ATpuvjdj8Ynrg3+JyUiF3mIJTSLk+gswzt46BjgiYxQtaWlDWAcsoIpwzbN2rHro7xsH4V4pGbkQtuwV7zJOljjyF1/rtIvfkCrBPPQHa2wqO3R0iMN+9InO3DlG+/nu1jp/GvvnY+/54v8Nev/AB7oK/BDKIQrR3+iGZ+flAfBEWipb3qQ+E/gxI2ro7uz7VCOoUQAlEaQhQGdHA7Yx5M3A3GTY+WlYEhME5Uq1Kvlr1aZC/DYvHQv37gaNuV66tY8lbOHwr+BDqQrLbBdY1RgOfVko1wv5KdDd98oNK/pmxKkhwdHMdpK+KgVPPZkWaRbaEuMXDLuvRsNPCc4J2rGAOYscIEoKmAvmbwWgv2OPhGD82i8p7KwGChGpbJ0ow070a2ymCsm0doNOp5SVPMBE0hycgkSJAgwUuEwW3dPPTnv5PK5ehetZrbfvQLWsaNY2zvdlZd+S9kNsuuH/kQw6tXs+nqawHITJzIxDEK7rxaZzuOfT1s2whLn9KDtnex4rZoWdXkC9/Fr776PQDmHHkob/3KxxgPiHAGYP6xCL/MKK81IsIEK57yIJ1BSGt05UXDA6ita4NVZWnD43cF+z0PseSJyuKunH8kPPd4dIxUGm9gmP6pc7juyY08cunnSZseNmN3nUE5nUPmWhDhzFI9tBqS4t+acshu2EBkq4LSsAzItmB91BaaXeYiqoIyIYTuWdIx0QidLR2g+qvllTFNd3fP1e5dfgZFSJP98EzTRyPMtqza1frwNivkXgZVGZ56fR1CRE1YOgj2dVWW6T3jl7XtLAj/nghzL5TWSYg6gWkzrlg+7Iy+9zsL0mQQGtkauyVI5UY2SpB2YGst04FQvp6mxXPNfaJB+WEMqgN8v8dRxda7+aEqcJzAEa/ufEfhXjYiSWumYVID6+wEptw3uT8JkUmQIEGClwht48dx4qc/CsCmJct47J9XccwF57H90l8C4BUKvPDzS8lOncJun/o43Q88xJQTjyX3/F16gMIQ6qZ/wvgpiCNPg+WLGJ44h5Xf+kzlHJlpU3nq2SWVn5fe/zAP3/UEvS8s5Yx3v5H21U+CZSMmToOSCWDbxiBMUKLsNOqpO1BSIvc7vumwQZWGUeuejwYsAwNQihG1+5i4S0DIADI5Bg88gdv+fQe3/u/llc1v/tn3mDBnFg/+8XIueetF7Hb4wex/5qkcvftYI452UIVh2LIeVj2nAyzbRuRbzeTMnEqGAJRDc8q1Gv2AMS/wS638YLs6WGvtbHATlCY5/j2w7KDvhh9cKgINis+w/J4qPvyGgn52SIbICxJsU/rklrQNsHL1WL7jVMU+tyqC9Ve9/RIzy44GwX5WJJULyoB8S94X4xrll6ghzMq6X4pkzA18I4OKK1bzGRblG1FUrsHR2cQdRUtnc+L5ekTPzpr7pYKMizLap2auy28sOYr+MMpzwcoghAqMHF4sKlmYBs+9UV+aMJoiMk2wLaUSHpNgRCREJkGCBAleBrSOH8v8N57J9EkTWV5lP1pYt56lP/opU849h0n7z4GB52HrhuDDW9ajrr8cddhJLLnihsi4Y950Dld88VuVn8fPmcW6p57hmetv5sF/Xs2Zn/0Ir3n9UaTuvRP72JMQ6YwpLxIoKfHWL9MflJaxEW4OarC3Nljp62n4mWWrtrBiaBJz9phBV2cLjzywkKtPubDmuFx7O1d8/LPMOfYoSkNDPHf73Uzdew/Y/mjlGAFw0GuR539MB2DFIrS26XjZK6OkBQPdmlD4tspggs5Q4OcW9XU7JSiXEEefiRoagKF+2La+thQtDBGyXAZ9rrgSKTtNJECMi+E8Vz+XVDYk6jfdzytBrtDjVAJXP5Pg7zdd4H2C4AecdsqQGRPwV2tnysPazc0p6vGlcTvbEUQaV4Yc2KwMFAdqj5cyIAPNEBLlQiHqQKZSuaCMKvxIlL+qX33DpV7JTmURzfbO8UvylHGYs1Nay+SWgucTJjujKRtrMhujhOkLUxjQOredpSMZjVanGWLRdOZmBBtm5aH1RgkS1EdCZBIkSJDgJcLQ9u2sevwplFJsWfoCt//4F9xp25z16Q8zrr+P9f+4InL8xH12x7ryV7DPoTD/SLj7ukgfEzVpOu3z5rHp9nvAceg46ADuuPG2yBiHvOUcrv/69yo/P3r9HRxk9dPy3AKca/6J/YGLSR14OJUGiX6Tx9YuRJNlZUopRCpTG0ZNnoy44NOUe3tR61eRWr4wIGQtHTx62wPc/4//Nhx7xkEH4LkOa596hr1ed0Jl+5jJE/BSLjLcOyST0+VzAshmKsGYMpkIOWsfPcfhYdhlD5TrxGcaXG3nK0BnrvzrFKDSrUBIhK98IiH0937wamfq6zxqgloRZIL8niPC0gFtsR9S+XjL5ho7XGMi4PdXMSSuBoqqsVRgD+2jNKTJjKKu1XZTqJfJqad38LzASjmV09fSqIQrTrtRHoZR9/I09tRNQtkphLKo9P4pF2v1R2H4OpCmrJIbH6ssQyyHeoJ3ySmi2sZFy0dHC2kZs4gmSYxMNcedfN3TSFomYQMNzp1oZEaESMT+idg/QYIECV4qCNsm09pCz9p1DHZ3A+A5Dld972f87Ypr2fe3lzL+uGMBmHDS8Yzb9LT+4DMPww1/h/2PhNecrlcu9zoQ+dS97FpawuE//ALT3vYWrCOPYsn9D1fON+c1R/LMDbdE5nDyBefQ8twC/YPn4fzquwx/4h04mzfhrQr1rUllm78wz9HamOrrdUoIy2P51iE+ee5F/Pz653lk7Hw2738SxaNfz8NX3RAzWBSv/dj7uf0nvzI/BYHMv7/wLZ5umR09X0XcXzMTXW5UGEAUBhDCReRzyAnTtDBfpoJGlb7VcdwoCiSuvi63jFCO7rcjdRAshLE9TmV10JXKmt4gwhABKygxs2xjkSy0LXLZWCMLqeeDCkhIeSggE5H7HmqM6Vsse05gg1vvL3q18NvXZsT1lfGMHbCdYYdChBcTV5WHdfmjtPW9rLJZVtJuvn/MSGji0hQSZaVQdjrIcEWIwwiB9miCzJpjjRW3tPW77JVrCfFgN6pK0K+krb+QuseTrLNeXbmmJomQnTEGEk1mmurZWUeOGWG/lxCZBCMjycgkSJAgwUuEXFsbKx99nCs+dnHNvoGtW0lvX8N+B4xn2/FfJNfZinXfldGD7r9Ji7Nfexa0dyLu/i8AbcseZM+jD+eFLR77nHoiz9xwKwBzjjmSG77x/crH9zr5BHZf+UTtxPp7URvWIOwggyByzZeVURiMXy21bMi04LKNA845i5WPPM6fL/le7XF1MP8NZzJml+mseVITunIhmJ/nebTIqnPWIzJSQr5TB/7l4WCl2w/6pDABnCnTqYdUtu5qtfC1Cdm2IBPjYhzBXNOpHaOdcOMzJZ6r5+DFEKnysNGuhOyZPadxGVCjFWxZ5UQlrEAfo0yJlJ9N8fxyNVlVKtYM6kWnDeaWyupzl43pgFvSX9KQRM+YIuzM1WfPi23MqEATS68Mg92QbaufqRxpPqMpL/OfjbTMsypHy//iCInnwUCPtmT3MyvFnugxLTGfG/UzBTAud1aTZYfNlJeNeH+SppkjIhH7J0QmQYIECV5KjN9tVw467xwe+8e/Ituz7e20Fnuxt61n4rb1MHtfOPk8uPcG3WTSh+PAYD8seijyebcsmXj5pZw7fVcO/u6XWLd9gAcu+2vkmFM/+QFyG5fiXLs6ElhYRx6PyHoQXoxt6Wz6mlT3BhgO6RRauxDjpqEyefo2b6VzpseZ3/oybZMnsnXZchbdeCsP/OFytix7IXa8ljFdnPS5TzHjwP1YcOV/cMtlpJT0b90WOa4zF/2c8F3KqiBAkxYLlJ0xf+xV0IkcAchI2V4spKwfS1lp05iymqCYbEx1lsfOBpmasDNUo9Kg8rAuM/OdzSCeD/iifq+6H0gITqj/iGVc0kTo/GHBfwU7YIHr1BGExzaxlNr62ClpcpzOmQyWGcdzQmVneS1Iz7Rq4rgzBO4hYqd8k4bCYFTLM7Ad1TUpvoTLcxuTAt/0oZm5Kk+/I+Wh+BKzeufyHF1yVg9u2WRtjJOclPXNERqJ9P3XwLfoHqkcrRljgHolddI2NtDNl/4l+H8XCZFJkCBBgpcQe598AkM9PTVEZtdDDySzcXmwYdnT+uugY1Ed4xE3/t2swNvQ1o4Ia2UOPJbhn2vnM3vNCuauW8Uen/0KYzpbue4nv6Z/8xaOfM8FzNx9CnKPqcj9DsC981bce28GKZGHH4lwooLpUa12Z1ugfzukc4jx01BtY3n0H//ihm/+gLYJE9iy7AV61q3njG99ie1r1jHvlBO5+P6bWXTT7dzzm8tY/oAuhxs7cwbHffwDTJu/P/f95jL+c/GXGDNjF075wkXY6TT3/OayyinbJoynoxgS7SMh3xb86JMUtxxtpyLCJVoqCJr8VfdGiC2PkVpo7Y7ObauGJKTzAbn0bZgjp7H0HIWotWD2Hc4U4JWi2pxUlppO6gB4utGp8vRY1c+75vEbu2gpQMQ01qyLOgLtakKUbTXXHeqtUgppY8ImAEaPJBwXLAtlt+hziNA8Pcfcz/DDlyFbbH9X6F0QAiVTmrgMbo6/nNauBvoek7VqJFpvRIar0UD0L4RCpbOjz6QUBnTWsDSo59s2pnqCJlNZYSp15hZ2uzPZzBEFM838P8UsKljmeXpGgyRTo+uDk+D/WSRvSYIECRK8xBioyiwAjN9tJmJ4Xc12lWlh7SVfZ8x7302+1UJ0dCIW3B0cYKcpb9gGobKr9Jvfjn3dZRzhuuxxyQUs2Ap7nvgaLKkDcWtMB/IN5yAPOwrV04PwYsqpRrHyLsZNh85JuipKCW742ne5/uvfBWD20Yez9G7diNMplrj315dx768vY+o+e3PiZz7GR2/8N8sffIR0PoeVTnPXpb/lX5+6BGXO371qNTd+6wek83lKQ4EeYs8TXkt648pgElKiNq2Fmbsj7FTQC8UyehPfvUspE29VkY4d6S6ezgdZjHoxWrOEsFyMEiE7rbMiTjmakagmS27JlK81WV4mpRZV+xbI4VK1MPxAXMrAQlqpoBdPs5mFuDmAWck3GQUpwXGDvjKxLm5evB4m36mbr/rsQKa0QUJdSJTygt45YZSGdZAfNpCIuRbR0FUsxrI7OkCDfVXwbbjrvZuxWa0m4Lu8tY7VmaWKjgtNyH0SLRvoWjwnmJvymjMycBtcj5918d+V6rHi9FsJohDs3HLL/58iEfsnSJAgwUsIaVmkc7ma7V3jumoPbmmjf+ELUC7T/avfsPGKm2DSDNRu8yqHqANfS/Evfwx9phU7IxBGhDvm2Qc58aQDmbHrhMjQQoA9dRLWnnMRcYHmaIiMEIhUGiUs/n3xlyokBqA0OIw0AdHjV/6Xky76BK/92PvZ8sIK/njB+/nh0SezesFTTJw7B8tO0TZuLJnWWn1OmMQAHHzcwdFAere9jA7FieonlNGjOCUdNLslHfR7VeL5kfqkhF3IUlld0qRGClqbhLRqSYFTguFePX8pIJWqH1jG6SWkbVyllCY6dspYBJtsjy9Wr/ms0cFIy2Q2vFD39lAA2ijIrYbnUcP0hNCalHSLLhMLN8ccTTPIaowYyHkNnNSMhko2KGEa7K4vmIeRyYVjsjbNQIj4ZwsoJWhamF8NmdKaMb9hp+towuyWCQihNfK7HX4Hmg2gK/dHBiYVliHFTik6Bx9WasdJW4L/55BkZBIkSJDgJcZQTw9SSnY5aD67HnwA4yaNZY/994S7FkLnOJizL4ybRHFjN73fCcT67We9Hv77Wxg/BXXUabBpDcXHn4qMnX3z2xAPXxdsaGlD7nUADG2vnUhLJxKBN3YqbDPZoEm7weaVOxRM3n/ZX7jjp79i/ze8nvG77YqwbVrHdrH68SfY+NwStjy/lFsWP4+UktO+8jmu/cq3Wff0QtY9vZDp+++DEJKTv3ARr/3Eh3jg93/mth//ktJg7cr5WV+5mD03Gue1rgmIU89HdI3Tgbq0TX8NL56g+agmD3YKGlXppLOBBXGNW9UOwEoHGplG2SCnGJ1rnC5CoMfxdTOeGy3LyrXpQDUOfqmTZcrWHCd0zup5GU0NjE4rI6njOOXVtnVRojmL4rpoYl6NAnSnpJukDsb8vkATvZVGCOgt41RXoz8aHYRQo5MrpfPmWbuakFs2wm3wwgtJ3bIy0O9H+PzN/j44jnmHy80/Z/+9TjAimjGH+7+OhMgkSJAgwUuMo47Zn0P+8m1au9cgB7YDg6ixB8MRJ8PGlfD0/TB5Jt03PVb5TGrPvcgWt+gftqyH26+ieOLb6NmiyI2fhNyyETlzN0RvtDxNnPxmWLMYNWW27jof7smRySNQyGm7o8ZOQW1aiRwzBSbPGrWoe+3Tz/DvT38BgAlz5nDL934MgJSSLz15L6m0zYYly/nlGW/B8zwKA0E527T99mHbytUsvPFWUpkMylO87nOfZN4pJ/KLU85huLcXO5vltR98FzP32I25zgbE1jLiLZ9AjBmnA+9yIaoNkTYqYxojCllbDuTrJXyMtPosMGU0mJVyo0vZoaDbRBu+O9hIZW3h1W5f6O+Euq4r9FyKdayI/fK06jlYtv6sZceL8avn5XlUyMyoiG6IAI146AhNEUfECETCd5HbUVh2rdBfmHvpefGalfB+t9y430wYI/0O1nNPk1KXJfoNUx3juOZjzLSR+82MlGCpfvc9r8lyQ1+31OQzTrIxCUaJhMgkSJAgwUuMbN9msqufjmwTvVtRj94ebFi3nNbjjqHnshUAdLz+VKzFd1Z2q2m78sylf2TjXfcy9awzmHb06+jIW8gFob4xk6YjJk6A8iCsXoTKtyMmzoTCEHSMR5glVSEFoqUdNXNfEArluYhRuJa55TL/+dzXKA0OMuc1R9I2fmxln+d5dE2ZSDYtsdNppJR4nkdpMAi6p+43j+UPPsrC626qaGOevvYG3vevv/CGH3ydy9/3ceYcfQQn72qR3Wj65NhpxNgJ9Zslek7gpCYlKtcOQphrFlRExco4ew33xY8D2j2rpoxHaC1Ftk2XfvnBsd+Q0idJlb4yhATyITG/nRm5F0px0JgBmDm4ZW36oIymoNBIE4ImeJlWXXYXzrxU5hATWMeRCcsI2cslvb/ZBo9SvCqccxVSkwhvhPvVqDfKYA+qa0qUCFh2vGuXZXRZbjm63y01JmxKmOdbhxhVxnGMmYMKyuGUq933Bmp1eACMmdpc08yR1jHiyvOaLS9r2hwA/W4muo8Eo0CSlEqQIEGClwjKc/GWL4KeLbX7YrrAZyaNAyB39DFkNi2O7OsfM5uNd2kR/br/XsPD3/ghW9om4Rzxusox4rgzEOVQadZQH2rF0yhP6TjCzkQsTYUEkcog28boJo9N4pnrb2HRjbew50nH07thI//+zBci+/3sS3tXO3Nee7SeSm9fRTuz4sFH2Lz0hQqJAU2O/vbBT7LHia9l/KzdWHzrHTzhTNSB21nvRn7gq407vofheZp0uCWUtKBU1KVDw33axWkkrUFcoO9/ptCvLXqlre9laUiTGqeovzzHlKKVdflaKmt0IVntGiYtyLToFXQ7U1cTQakQ1W64junfIfQ4DWGsdv3MixMSx0P8yr9vl4swOoZU6JwGTQeYowhEX2z39kZzklb9AD8yxgj7qwlI5GcZNCd1y4YsxlxTI50NGK1XPElUVkrrdIRxcCv0w8BW/TW4vf7vRddUnZVtBiNl3Dy31kWs2cesPGO+MQIsO8nGjBZCvLJfrwIkRCZBggQJdjKU56FKRfA8xMw9axs3Shv6Q1bC7WMoH34mQ4uXAdB29KHI7o3BePsfyVO/ubzmPFufeIpLPvJ9npv3OryTz0N05GPnI/ItCF/r4TrG1tYEDN7oe4WsW7gIgFWPPUHn9Gk1+we2ab2BtAQzDtgPgJUPP8bEvfYAYPPSF1jx0CM1n+tdv4FNzy7hwDefDcDfLv4a/W/+FHLi1OZJjI9UBrAQQ/3R8pdUurn+MdUI/9H2XE2IRuyl4RmSUwjuvWu0AspFr6xLTWwyrfq5BB/WupdwACxUEHBmW7UNdHh/KqMzRtkcuMV4wuYHw9UBozTkx2+sGO5z45PfSi+aEeDbEjeDlzIWajbQUoqG8612PPMcfa/ttHGYK41cYuU49QUNQmlnOUBJiZIplLBQnkIVh6B7HWxfD72btPatmVK8rqkjuK2FIFOB2UPD51Z1P0fzv41mskJWko1JMHokRCZBggQJdjZKBdS65ahVS1DLF8HaFwAJM/eEQ0+CU98Gq5dFjhetHfT/57+0nvdW7OGo8FhOmML8D76VWe9/T/Q8mSzDAwP88mNf5pG1w2zqLuuSqjA6J+qA14ffOd1DB86qWn09MlrHaMe1ga1bmTBrZs3+3o1BBqptwngAti1fyYwD96875pHvfQcfuOIyZu63O/NOOwkAz3H45ZveSVnugPg3nUfEZL10ac4IgeDAdn1fpB2sEheqgtlMPn4FvZoUVgdmyqslSpWVfE+Tmgqh8XQAqGIcwDzHrHTbkG+HfIfZXo7XhFgpHSgqjMubpa/PNk5SnlfbxLPmGsz5RkLc6n09jDoj8yIzOKDL9jJ5QyBbzD3sqH98oV/3mwHjvJXS98opjex+V4FX954oIVClYZTrQu9W2L4OejZA/xZNmEeLrinNkxjQpYBhMb6Vqs0gSav2fR/Vs5ONtUKWnfSNGS2E0GXCr+DXqwHJW5MgQYIEOxkim0fsumflZ7c0qAOfvq263MktQO+2irWyu3o1zuW/pvVN5yIzWbpvf5iOM04j9eydiAOOQS16kLZyiT0np5j8q++y/Ob7WX/1tZTNqvqhbz+Px77/Y+7ZspXDP/kRjvn4OxEbV4JTRIybGl82JlSoJ4mn9RBNYs4xRyGEQCnFmGnTOOqtb2Ls+LG0t+ZpsW3GtwR2020TdLmc53nkOtprxjrkbefROnYMh517BtOndwEFdj34ACbMmc3mpctY88TTXPudX3D25z/cXK0/QK4NEdc3BJoXfoeF9KkMkQA6k48aDUTgEl25jvtj30AM7weLmRbzXKz4zE9YV1EuUClxckOmAMLSn/dF55HPmwaSkWkoHcRWn6+SifGCzMJIAbxbrt9DxCeJSo2c1QJdhmdZQe+TMIQvdPfHNnbLjZ6zELUuZfnOBhOQwZxfjMNauBdLGEpBfzc7RVjUOtbMcxQuaZHMnRdvXlYzb2kIbuhdlnZAev3XXmEs0Z3GbmSJNibBDiIhMgkSJEjwEkJ5ri4NCdvh2jm8+cfjPLkAddf/APrvfuspc9nyzW+D57F14TO0XfAuWsZMwlqhjQKEW6ZrwxPsf95xTNhnb5b3DCKlZNLUyazfshWAqQfthyz0oybOgGwLKpVpXL3j90ZpojRdmcBz0uyZXPK/P6P45NMUHryPcQsXmWAXSsAwHhywNwDtISOAVKZW29E5ZTK3fP8n7H7UQZrIKA9ZHuaAc87kpu/8CIBbf/Irxs2aydFvPq05MtOozr5U1GVZo1npjmQqTGlWPXhKk0K/XCkuOGsmYKsEzFZUZC+lJiieUyUM93QJm7RApgFThlaPKHieXiGvDnhjy5Y845xmskZWCpyRgm4VDX6FNEGtpwPnke6/TEEma9yynMqQiOoo24sP2oVxmeuYoK8prDWvR66qkclrfZO0EMoZfTJIyOi76Fb15vEPA1THBOjdWLNvVMi1g5Uy2ZgmnePiDBws00C18h75swxB+i5mfgNVb+TysXr7LXtkDVGCBHWQlJYlSJAgwU6GKhVQ/d26vr1cqgT5FTglyn//A2pxqCeMbVNcvioSSPb/6Q9s/fEvKe16iN4wYRrlvV7DwLJNDF76c7Zv3MBrP/oBnrj01wDs8cYz2W3+bABEcQDVuwW1Za3ps9IAbrGpEhndCDODzOQQ27fTfeW/GHryqZrr6737XpTJAk3YdQapbJaj3nsBqVygAUnndblbuagzG1tXrQ8G6N/G6y7+WEUrA/D3j1zMNT/8Ld5IVra5dkQ9W2IISrJ2FLmWEVa7FRVWWM8udzTw9Sp2VpfFucZYoF7GwdfkKGUyMnEBoqy/Ah7WxPjHWlVCbafcXOd1zzjGeS4M9euGn4X+BtksdNlXvkOTGL/nTniVP7Y/TezJEV4ZoTyE5yBcR//rOXWIjHknMq3QOgZaxwESUS5ofVnTkIFZgvICTVRc48foBKBt/CjOU4V0DrJ5fas801TVTo8sno+7Nt8i3CkFJWdOUb9LfqPVyrg+gWnid8q3bK5Goo3ZcSRi/4TIJEiQIMHOhurvxnv8FrwHr8F79Aaql3LVcK0WQR5/On3/+HtkW2r/AxC5HHJY94QYzkzmhQ9exIYf/Zzc4Yfz5J33s9eRB5Fp1U37Dnrnedj+/9Vbx8DqZ2H1IrxHb8Lt36YdvOLgebqUqsmad+U6tOy7T939heeer2jSx04Zx1Hvfxfpllau//r3mHXkYZzyxYs489tfAaA0oEvANi4JaYacEtnCdi74wy859+c/wE5r8nLT93/Gnz7+pcaamabc1+r8AZZW4zp+O6OJ6Q4ODxg75FH86fXd0RzTN8dOjUwilNHQlAs6myRTUTJiG/tgvxFmcDIzf2E0CyldglYaqjUOcIojz8MnfMUhGga6VgpyHbq8SxjiE/cuCosdSIvEbIsZo9APnZP0J5wywimOjsBYKXOf7ahZQrOzFEK/uztCZuwM5DoQkYaVhoh4ribBPrmqxmhIvetoYuOMRMoaoPqeykQbk+DFIXl7EiRIkGBnoxQiKk456AliynzUQG1ZjWvlopmNbI7svL2xx4/DarHx9j6C1Z/6RmW3NWcux+27P3usu4+JP76YbZnxTJ+tAzGkjbc9XKbiwfOP4mXyiHnH6MxKdSDiBz4jWvsC0sJqa9zxvLB6PfkZkxBCMP/1r2PDkuWcfMmneea6m7nxmz9gnzNO4eRLPk22tRVp2yy66Q7U1z6B8MulnCKpvk0c+963M+fYI1lw5X955vqbefzKq9m+dgMfuPx/EFIysL0HKS1au9pJt7QiG2VjKqgTDKeymtSl22B4oPa4VNp0SQ9pUaqJkzSd3P2V53BAHi7jsezGNtCVoFNEM0D+Z2RKx+hxAbOdDvWwIfg+nTcakvB87YAgKA9ESr+HlhXtd+OU9fWHsxlOsXFvGSH0HGN7qEjI5o2I3NWESY6wMv9SrwC7bjx58dx4PmRZgCl98+9VxHludBBC6Exmx0TtUNYMUllo6ar0iKqBnTYliGa/lNohzb+eZjRKcdhRz4Xq+5hoYxK8SCREJkGCBAl2NgS6Xr04qIOgiTNg2wbomgB2BtE3QOqCD8DgEN5gP8r16Ln3vsgQ7e+6kKH//RUAg7vtRvZNb0O2tuIO6YCpNGEC+7WVYRt0bVpMl70UNXcyYvwknXlZubB2XrlWGOgGO4XKd4Byo3FFk6uzQgjsTu1chm2T22sPcrvvjmhtRWWzOEKwbflKcjOmMFwo0bNhM/+5+MuV/jIAKx54lNLAIM/fcQ8A3atX40obmzAJLMHWVUyd1M7Uiz/M6V+8iMHefrpXrWbx/QtY88RTPHfH3ax6dAFHXPBW3vaTrzU1f70CbDQEmRYqAgoptTbALet7VSoEQXpLZ2DDK62QfXXZWBdndUDrObUkxRc5R4JGc+elrcuAwlAqSg7sTFQPo1TtZ1KmFMt1QMUQCysdlHSls0AqKBmKwBAVRZWGxqst67JNdqmRf4JS2hJ6qDe4llTGlIkZEbh/KSMFtHHaj8iUQhbSPomKzezUyYg5dQhZaVjrqvw0o5XS45ZiLMGdQp2Gqs3BJ1Kqc5IuxyvVMa0A/f+YTL4BicmY9yi03/PQSjYDP0Oo3B2e86gQIdH1Sh8TNI1XiXPYK4nkDUqQIEGCnQw5aVfUxJngOqjujajVz2rBf7fZD5AFsjbW2C6UlSa92zugWKS8+FkyRx1N8d47KuN5y5ezfvlKlh98BPtmLfr//W/G7jWXjievDU7qOHDbP/Fm7omatT+ifZzOKuRatVsaICbO1JkYpwh9myGTR2XbEZ4J4EaxMtq7eSvqrW+lb+tWFi94kr77qvrCSMn+H3ofPVaK641oP4yBrVsZP2u3CpEBGOgdprWrXZfHhS2Hh3uhOKgNEewMXkcLG1au4IDXHc+pX7yIRTffzrwTjkGmzZ+04lDj0h5PQSZnAtqQSDnc4d01GQhpBZmYVM5kJKqIRo3mo+o+OtUaAhNwK3PukfijX8blFHUAbaVMmZlZ/U/lQnMIaVrC1yNlcB7PBK2WyeqEA/hKz5hyjE10UYvffRLif65iBFAHnqtLHT036KETF3s7RjzuT1QpU75mXMiEDZZp7uoTMGmBMK5yvvteHUKilArMEuIw3INqG4eIs6EW0txDN5qpisWLDy4FoHJtkG3Rv6vVc2kbB0LWOZM0JW5+xqzBC+aWg+an0jJknpFL40Zj7xyZuylbFLYucUyyMQleJBIikyBBggQvAYQQOvNRHIKtaxse20eeP336K0yZNZPXvvM9ZGzJ0J/+t7LfnbMHt9/1CItuvp37Jk/iXV+8mNZNi2PHUm3jcH9wCczeE3nUiXi3XY11xrmI1lbj+hQ6uDgExSFUx0SzEtx8ULH6vgd45Nf/W/8Az+PJS3/NnHe9AzudxikFgW7XLtM57kPvplilFfr83IP5+oLbGd9eFWi2jdXBcrnAljVbuPyEM/HMeOPm7cXr/3IZ6YwdBNN2WpctDffXljRZts6iQHPdzNO5QLPhloz+xBtlrBqag7RBGBF7s1bQECIzTkBanJImZBEi5entwjaZII9Kk0swFs3m+sNlbr7DWDhDI+JCBFVLFEa6Dj9Y9ZwRAldPX6PnmSyBozMcdlY/MzeUAUllA+OGSNDdQNwupe4R1HCuVeTNSkMqpUlcs89rJ2U29K+k1NmZvq36elvHgJVBiDpZGJ9w+Zk0t1yfaNqGAPqZ2Mo7KeqUAxrUs9WOuwBpBQ5yUgb/JnjR0InHhAgmb1OCBAkS7ESo7Zvwli3AW/403rqlqBECJw/J048sZevzS3n6hlu59IvfZ/VQmdQBB1eOWb7P4Sy6+XYAejZsZMnGrVhbV9cONmNP3Fuu098vW4z3x5/D0kW4P/kquDI++EnnjIC3yGii855ly0Y+CFj6p79y9PvfBcAeJxzLu/73p3zuip9x/HF70j6mtglh37aY+9W/DdW7iXWLXuAvrzmlQmIAti58lts/cRFlL2x1a4L5bItuFpnJB5qVOMFzPaRyQa8dywjmpYR6QeRIsNI6GHVHuZqthD53aaiq349XvxxQYjIfXjSIjSurch1tCiDsqNlBuCzLzkLKNAGtdmPz3JHvq1NqbKRQGcsQRqcQEILycK37VrlApRwwjAaPRiil59Aoe+STtHRWvz+oxi5xcXBLI9+PigNYRv/rN9qMaUYppA1jpkDnZISdrk9ipNSlRjXGDKVoDxf/fXZMU0/X9Abym6NK2dgOua5ZhXFKS+ch16ZLCjMt+l6m0oYwJ2Fngp2LJCOTIEGCBDsRomsidIyH4jAUBlAbllNsmURmML5HxEa3g9u+/unKz265zD++9F3mHHUYp7zzfQwMFPjPt38a+cy4KePhyGOgexs8cQ/+ir+X74QNtQRHnnYuYsIEHQwO90V3ZvIIPxgeRb31rqeeTOfs2Tzyre+NBmnA5QABAABJREFUeOy8ow5n3rGHMnuXTlKqhF+jP3baJE786HuZOHMqYyaOpb2rja5dpwHRUi0lJasXr+Pf57wjdvzVd9/Lkv9cy97nvkG7T/kIB3SpDFh5asTz9ZDKBsd5JnhXAor9ga2tn8UKr4oqqnQZEmzLlOuECUWDc/vlY5VMRjnIupSG9dz8n+NWzZXQ7mp+piLXpsuLlMnmWKakJ3x/LDvUh8asuHtlSLea5plukMESFo2FMTEQQhM4OxOTRQnBLdb2t/FX9qs/47ogq5tLjjCvRpoMWwfbKpNHlAaj+p2dASsFCH0/w/c+LsMhJYaNgucgPGq1UjVjS33/4uCUAj2M64SycX4ZohPNtNUrv4Pae+KTfCspFUvw8iMhMgkSJEiwkyGk1P1Gci2oXBvP/eoPzDr3VFpVd82xbcNlzvj6F7j1p79icOu2yval9z1E98bNHPyB93LcR9/HphdW8PgV/wFg2qwp0LMRLAEnvBHWvABWCu+qv9VOpqUNeeDhiNKwDpDzHTpoKQ7qnhnhPh0j9Zww6N+8hXUbt9C15x6cc8+teMUCt174QfpXByV02bFjOOhdb6PNden5yU+Z/4cfIfq3RMbZY5/d2MNbY37aDkPbYWg85FtCR1msXbKhLonx0bdqtV5RzrRCMa7ZotdYKxBGKlsnaLZ1EN6oDwrogDPbas7pBtoPaettEfIhg5V0TNladYlXCMqyUcP9iHQG4Rm9UypTRUosKIbmONxv5mMbQuXEBPRmpdxzTfmdCaydoiZiYcQ1NnTLpjFig7IqYbRFvvYl7hqFiF/xbzYj4nmBLXTc+HHveLpVlyK62nZ552g3RPCvnTKZuHq6E0kNMfQ8asRTvuYF0yPIv77KvZT13fCkIdPKqSV7cfNSjcrjRJA5su3R2Ykn2LlIxP4JkUmQIEGClwrK8xjsc9l0zfUMPL+Mfb/4UdpEUDqlZIrhu+5i3J238+YLzuGZzX089pegl8x+bz2X6z79eQDyY8dy2uc/RaariwmtgIMOCLevh64xMGE32OVReO6pyBzkee9HjhmnV/KF0EGtEprQVLqAY1Zgm/ujmOto57Yf/ZxtK1czbb99OPSCt7Db2Wfy1M9+SfvMXTjk/HMRK1bS/Zvf4asaBjdtpzVfPVIMsejthta2SvM8Z6DMhgcfG3FO6x5+BKUUIpUG0aZXoJUKBPXNIo7E+Gg2ZnCK4GWDsi/L2BZLqTUuvqDaSmmi4wv+pV2fwJj/qKVPwHA/au4hiJT/JzycEYrRsAAUBnSplFPQpT+ADp6FLlertni2s8a22QNVFSp4Xm3WBKKGAo3g94qpB69K9A/6HjXKSIThB/VxCJc25Ts1CSwVEWFyWt3AdrRIm6apdjpiu14XUgLGEnkkfY2wzHMx90Op0D3xrbWr7p2dNu+EW1sy5sY4wYF5xlXW2kJWslbNLnokSPBSI6HRCRIkSPASobBxEw+ccR4Ag88/z4JLvsdA28zKfifVxfCdWvsib7qO9skTK/sOuOB8HvrNZZWfh7Zt497v/xS7MIhtpWHSblr/ATBxOqJ/A/YZZyPf+QmYNF1vn7IL9qy5Omg0xAUwGg8RDfArpVIjY+m9D7JtpS5hW/vUM/z7U5dw6z//wwGfv4ij3vEWtv/8Urqv1Vqd7KzdQErW/M+fUJmW6EC+EDmMresg3YLKtlO8/U4KF32AWXIIO1/DgiJYddudbFv8nP7Br/W305qYZNua02c0IjH1YKWhxVhRp/MmOM4GuhErZUwCTJ8ey9ZBYly3d7+EqgpK2qit61CL7tdEFGD5Eyg/KPV720BwvjgUBvVxpSH9Jf3Mg1V7XrdkXNFMKVJNuBCj03ANMWoGyqv/TJRX+16AHtvOaF1XOq/vM8TMDWJ7/IAOxlvHQMcEhPIQpeHankrNNPuMhdQkxjOOcE6pvmA+MlVj2+06da7boJo8OsXaZ+2hzQl82BlDpFRwrsh99wLNk7TM7425dunrZjJaL5Zt1cQvITGvEvg246/g16sACZFJkCBBgpcIw6tWRfQSxTVreOzmB+kfOxuA0vqglEyc93buu/S3ALSMG8u0ww9lYHO0FAtg0pRx8OQ9cOdVsG4VjJ2uAzNAuCWssXnst78Xed77sc58GyKXRSiFKA7pJor5jko37YjjzShEuI9f8e+abVuWr+Tv3/whA3YKe0wXHa89himf+BipaVOZ8La30nvXPZRURp+7fTyM30X3Zhk7uWokhVtwGPzyxZT/9VcAMg/dzj7nn9t4Ukqx8jZjWe25WitTHNBfhf7GuhjLbo7ECKF7d2SNkDnfoe2ty8P6ezy9Wh4er2bMmD/+0tL3xXUimQolJV6xgFp4L2xcGf2MU0Zt3xzQCc+YEoyYfQqdvzysg+HSoNbU+DoH3cVSk69UBtLGAjkMt1wb0CpXB77NomEgFG4kau6nUEGfH7cUEIC6upfQO60AYSEA4TqI0gjlgTskjlFUDAhGRYhD5/K1LNXua3ZGX3MjEmGl9CWXjc7ISsdnsNxSiKwYAwsrRaUprlPU28rG/S6V0WL9V0ngmiBBGAmRSZAgQYKXCEOrosJ7mc2y+rmlfO34t9I7ZjbF5SuDnZf/kbdc/GH2OO11HPSB9/DnD3yC47/9FQ5+5/mVQ+xslsldoaBt4yrYtBaxbR2MnwETZ0KmFeEVsObOQuy1DyoTZDKEV9aEpqUDUR0QNRL3htC3eTMLrrw6dp9TLPLnb/2Ers98msEXVrDmJz+j5657sLs6aX/NkShsnb0Y6IYtqxEblxsCYJDJ4U3fj+EPvwPWrQm2ex6Tp44fcW4v3HCL7hUy2qyK5zXnJOb31/AD6PCKezhg9G2B41CdhbJM2U95uBJg6nBYoFYsgqWPB+fItEDnhOCza5+jEgS7rg5y43qghOFnYmrgmUzNsBGjG4OB4oAuS5N2rVtZXFBdKVV6kXBK2iXNzgYZrNE4h0Ggt5E2oPQ9bho74kwnmisPA7QJRNpkxar79ZSj2odwSZ1bjs8W+c0v/XfFLY1gKOEZcT76nYkj3OlcQmASvOqRaGQSJEiQYCei+8GHyEyZjJXO0PPY45F9Hfvvxx33P8Rwfz9ffe25fObS7wT9GjyP1N/+xAlvv4Df/unfeI5D/9oN7PvUQ+z+tc+x4NGn6Jg6ibbx46FnTVB3P2kG4ECfyd74wW6uDTmk9TiqZQwIoQX/UiJKJa1DyOSNG1Rp5IyMUijPY8Hf/sVQT0/dw9742Y+z8fNfiGwTmTSzzn8d6eEtUKoKEP0ymLYxiD0PRq3fUDNmab+D8TK5xvMD1t57P1sXPsv4eXtpctAsoVFesOLd+MDaTQJNRird0cuhHXXgOGBl9DMwnduVH3B7HspxoHerzrSZbBt4MNijM0I9foNEiSoXIZNDeK4mHpkWbeRQ7wpM6ZDAdKcvl4jVR1TDJwGZlqDBZxyxsCxQEtyRMh7EZ4+k1FkAIQNzgJEC6TinMp9kuVXlXU0H5aMM3i1bZzeccrx+SE9Ki+NB38OGTUQdPZ4QtVkVpxjtDVMv8+KXMkYc0nwtTqiZaQ0MIWumLC7BK4qkj0xCZBIkSJBgp6GwcSOpri4GlyyluGUr6/5+RWR/bs5seq/XmpjS0BDffc8n+fhPv0nqj7+FQgFyeZ7bPsTG55YAMHVcJ/T0kPnj7zhixkxajz6Doa99ldTpZ2HvezBSOJC2oRwKVIqDVDqf+zXthQFQDqqlC2QK4Qe6RdOhPJVt7DykdAPHgWcXk7/7Lo644C088Ke/1xx29pc/i/fLXwYbpGT2N77IuM4ScmgL9FqoiVOjndNTKdhlD8TkmQingGyv7S2zqnMX7vz81+rPLzTPFbfewfh99tYlTqPJzJSH9epzw8yMqG0uWC5QCXrtDGDOWTd7IHWwX9LOakpqFzI2rdJEZSTk2vS/46cjxk7SzzaUdaNcqt8AEUy2KES4bAuEWfEPZ5FSWc3bnCIRAue7afnnCAvCpdGF4FsHjxAIK2V0OErfQj/j5TtmNVvu6DutuY5xllM6sxQHx9f7jBSkN5uRkfp3zAuZStTt8yJGFv77sFJmCnXeo4qdMiMQIs9kW5Wx2K46Nu5+2OY5SgHsiFYoQYKXD0lpWYIECRLsJBTWb6T7wYcobdlGeVt3pHEjAC1RsbvnefzkY5cwdP67kG1t2G+7gCu+/wsADj3/TXTecn3lWLVqJa3rV4HnUb7mKoa/+TUGL78Cd9V6VG5MNOhr6dIuTP1boXsdlMxKvaf099VQdYTRPoSg+577WPfr31F84AHmLn2e11/y6cghR134dtpvvhFVNCRFSvb46XeY0NKDLBvC1LNZa0vCGDcFMXEawtHzElX3CGBCEzp9H0v/ew1L/ntt44Z+9eDHn5Zt3JmMxay0A91DpJxKaRG0naklD05IgO/DSusgvTQUjNC/HZY/1ZjEjJkME3fTX9KGuQci2jo1iQHo34Iy51KWjRJWgzBcRvvceF6gvUjlAr1OcVhni4TQZKPSRLGkiUPJNKkU5stOh8ibV2vZXA9+diAug+a7ozU1jukeXxqKLyETln5OltWkZW3VMdLW9yGd1/cpnTPP3lgrh4mAU679fbLSNBVySTsghxX3thhYpuQrzqEuDOWZS5F13NiqnlXFHABTQplkZV61EOh3+ZX8ehUgITIJEiRIsJPQecD+zHjXBUx767lMPvtMZCa6munY8cH1pZ/+CkMf+Bg33fEgAOl8nkNmToYN6yvH5I48CvXQndEPLl9K4ZtfZPBd51G85xEYZwT01aU25WHYvtG4IqVQ6aoyrUZNApUCpdj0zyvZ8q+r9HDLltFx+V95+3e/SjqfZ68Tj2NubzfOipWVj+39l98z9rVHBaU0YCyVTdCUzsGMvZED3YhQiZFI1YrF2x67m5nHH1t/jiFsfGwB1739Qor9/SMfHIYwAb6dNs0BS1E9jB/Qhe+tTBnBfMEElNWCeL+3hwn2S4O1mZrB3tq5dE6EqXvAtD2gawp0b4QNL0AqjWjrRJSGasuy3BIKAZtWwIalNSVDyk6hKg5qMTRHGULjO4P51+Ka8jflBT1MfDglvc+KCeabdi8bKfPRYL9l3OmE1Pc1bKEsbUMws4H9dWlYf9XLlkmp38tMXj+zVC74Quhn7z9/12mshaqxOR5Bs4I08wz1m5FSn9cK/U6EnfAqxgAjwHM1ga7z/x89MT/bWFWiNhrr8gQJXgEkRCZBggQJdgKU66B6t6FKRZTrkGnLcOS//hA5plCnIaOUkueXrGDM3LlMmDOLMy7+OPY/o6Vb+f32RWzdHPt5ACwLUdSibJHKamew8Kqw//1wHwz1ooREpfOodE7rJupemGJg0SL6FzwR3Tw8jPfjH3Pht7/Im77xGWa/662Vfbt+6fN07jdH96iZsVd0PDuNGr8LzNwHYaegYyKMmRbsF0A2G/mI3L6VXQ89sP4cqzB2j7mkWlsZMZhWwrg2mZKbwiAM9jc2PvA804dFBr1NUrmQFbCBZWsdjGVDKWR/WzPZKcH3LZ2IWfMRE6YjW9sQdga2rYP2CYg9DtHVf6FsjobUupm+bZrE+IHnxpWo6jkNbDNlho1W2euYJQjjYlUNO6OJnFdlmeyEnLFeDKqzYL5FsGWbTE5JX49S+hnYmSBzVBo2GZpC42u20rqRqpVBu46FGoJK85z9V8nzmtPZxGWT6n3OSgEipKsxRgB+tkwpfd1+pib8fBo+yyo4Tp13W+heQnElaqM1WEiQ4GVGopFJkCBBgp2BwT68B/5jAq0UZFspdkcDwsFCvKPUCRd/glu/91M8z+MN3/86szatpTqkyO+xK/a0j+OsXo1z49U1JR/2vH0AdE+MoV5UrgPaJiB6N+oDWsdGV1vLhWAFu6vaAjmA09fHsos+T7HKgU2f1GaXPWfR0SagbRwH3vJf1vzpH0w570yEH5S1dUU/s32TbnhZHAxKozI5/K7wojSInH8o3oN3Rz42qSomD0OmUmS6Opl71hlMP/pI2neZzvC27bR0tkZX6UEHhVY6KGkSQCFMDsJahzirZAkoyGRNNsEPQGXUXUqmA5tgywTGqVxN2ZOwbdSYqZBvR+Rbo6fMZBF7Hqa1TAU/wyTN/bKMFqQAW9ZQCw96NqM6J+h59G8L7XIDtyzp94kx75O0Y8gS9QXs4Qk7JeNsJkxWq1hbcrcjEJYZV9V3L/OzZqPRRaVzemzP6HIEtX14PKhpDNlMtsm3hfbtrIWINyWovq9WOug5FBmrzv333FHcY0OuHN+xTGgi1KjJaFJa9qpGIvZvIiMjhJguhLhTCPGsEGKREOLjZvsYIcStQoil5t8us10IIX4uhFgmhHhaCHFAaKwLzPFLhRAXhLYfKIR4xnzm58I8mXrnSJAgQYJXG5QflHuuDi77tjK0aXvkmJ7e2jKimQcfyKpHHsczAUNueJiO151I/rWvrRzT9vozSS+6C2vJ/aTLG8h+8EOkL3gfctZcAKxDjsSaFLLllRIGe6JBcb2si51pWFq2/o9/rsnG+Jjzg2/TMc005cQjm4c5X/pMQGIAkWsNPrDv0ZDJIPx75aNYCATrnoc1a07NuXI9m5l65GE126cecRjvXPAAZ13xV1onT+Sxn/2Svx17Ele/5QIGewaC1XxpSnKkBWXTENItmyA+dKOsdNBPxTJ6BSsTbPODZb/0rNKTQ1URRZ8MSJ358UxgX1UKJKSNmLwbsqWKxKSyOmNlWVrflG3X/1oWDGzXpWxb10Lf1pp7UsFwHwz1wXDVe+cacXxxUDfYdI1DVsNGhzEZJStdu911TQmjycY4pcZNHt1Q41Bph+5/KsiuuCXz1YCkCNG4RBJM6Vhev2v5TqMHonGGxUrXnlc1WW4lDEmsvC8hIuO/TyL8s7nWekStXsjmNNgXnouVNv10RGhOI1yL5zRR/pcgwSuHZjIyDvBppdQCIUQb8LgQ4lbgncDtSqnvCiE+B3wO+CxwCjDHfB0K/A9wqBBiDPAV4CD0r9LjQohrlFLbzTHvBR4GbgBOBm40Y8adI0GCBAleXRiusrxNZ1m+bSPTPvIhUjN2ofDY4zy3aFnNx/Y+5QSu//r3ADjqwnegHnqA9lMPpO38kymcfhL9dz1I24F7I1Y+BOhmftZzD2EB9qH7os5/F7S2R03Hsm2w4QXthtU5AdJZKJfi15HT2bqrekqpYNW+amV22sc+wvj9ZhIJZMdO1fqNMDI5/fkDjoPhHoQfFEXGU5EAX46N9ozpPuud3P4/f2H70qU1cxyz+1w2PPIYN77nQ5GAa8NDj7D4yqs46P3v1EF/XJYBdOCYyemsh5SQjln59rUL1fA1I05Rr+xLKxqECuNo5WdhlAfCv06pXdKKVZ3lpTEaMPMVoA0UilXkr9mV2N7NMHYaFPqCbeUiykoF74NfrpRpCRGwKvjkpHr1vlTUmY3qrIJTDI73yUxs1sADv+TSSgWOX8IKdCjNotp5r9LgkyB49+cppP4+VVX+VnNbq4J4KfXcUqmRM0Cx70wafc3+56TW8Tgj2FUrr/E9tFLBfazM1Qoyd+FrHy18V7gErz68SgT3ryRGfDOVUhuADeb7fiHEYmAqcCZwrDnsT8BdaJJxJvBnpZQCHhJCdAohJptjb1VKdQMYMnSyEOIuoF0p9ZDZ/mfgLDSRqXeOBAkSJHh1oSrL4HZN5tovfhQAadtM3HMue519BttWr2GrEcUf/6mPcusPtUuZnU6z27hOdn/jiYiejQggn4fc20+Hxx6IPaXYth4x/1DoX43ndCBauxClYZTvZOSU9Ko9QNtYVMf4oN+Ij+pALoyezUyZlaLrDz+lb/kGNv77GoYWLmLMaacw5fTXIMI2sxN2RcS5RaUycPBJiP4t0e3Vq86hbIC1195kv/w9Cl/X/7vP9W6ld8WK2CkObNhA+y7Ta1aND/zoB9njTWcFjSKbKb/JtMQHe65jROXmHAojjg+JsoUEkQYvdA/iglOnqLMCJaPbsKvE2l6YdEmUlCDiSn9GEcBsW6sbppq+QhVdSQ0arLz7WRE7o6/XsgP77tIgpM29k3ZwD5shM3a6Yu8dJQW+PbR/f0ToGZuSPn++0vTEEYBoNZtNnxtRx/LYJ9LVZKO6lCpMGCvz97QrcsMMlhnLSul30DblhTXvl9e8zsUv3YuzCA9ndoQwWh5D7Eajo4mD50GTJnQJErzcGBXFFkLMBOajMycTDckB2AhMNN9PBcIFu2vNtkbb18Zsp8E5quf1PuB9ALvssstoLilBggQJdgpUFZEplEWlXMwrlVj31ELWPbWQfd54FgeccwaLbrqNrS+soDSkg8GTPvEhtv7hDxz8ttNgY1AKJKwMbI7RpwDMfw1sN85mSx/X8fW4aTBmIrR2IgZ6gmP7tyPax+mAL99hykpiVqTD17RpFcJ1ybsbyU8VjL34nfRuKdG+396krFBwPWaKyUrEjGHZtSQGaolMJWCUyHwesdc8cr+4DEolsqUyBw9JHv7BTwHIdHZw4Mc/zJRDD6bU18/Tv/9TZKipRx3Ba77xReRwb20mIw7lYci3Nwj4PHTmpbrESIXsak0JjpUxbmWNzlfQ9yqm14kS0mhpSjDUq4lNrE5hlOU+29bAmKmmzMy4x4WJQypjBPM5TaTqZXz8jEy6yiY7TGbChCVMZnxYfjPOIpQHdEas3r3377mVqq/lsE22pTpz6GtA4vQlbkmbA/jkzI1rZCmC9zSOhHkKGvWksVKGTLh6nHrCeV9HNVKZF5jzVY1jp/R23yK87lxE0Mx0NIjT9iRI8CpB00RGCNEK/Bv4hFKqL1yKoJRSQtTrALVz0OgcSqnfAr8FOOigg5JizgQJErz8GIza/W7fvD32sGf+/V+EZXHWpT/i8vd/HAA7m2WcV6Ynm0WFV3k7JsBjd+tApWMsauIuqHw70jZlSZN2gfXPQzYPbWN0QJbNG5ejNGrybIRT0pqKbKt2ERNAuYCSKch31i8r81zU+uWRbanCdsa1AX3rYMaeWoOR1boNEVdGk2lFrHomuk3amkjlWqO9U5wSjJtREbaL4iBWLgU5vSK/++knVoiMnc0xdu4cnrnszzz/r//UnHbDQ48wuGkLbe1N9iBJ57WWxLL097Gi9qqfpRG1h7MuwvRWGCnuqwTX0aBTCeNW5bo6+9NIhO2UKgYJTcHzosQp7nr8RqmprP65NByf+PGdyqpRGtJlZtUd5Z2iHtNzzTyqrbF3UnlMJQNSFcxbFhDXILX6vKHwwS8bdJ3ABa32hLUER6b0O1CdYfJonBVs1JA2DLesz4EyxM0NyJ60qUtSIqVs6aDcrBkkgv9XJ4RovsT0/zCa+s0RQqTQJOZypdRVZvMmUzKG+df3BV0HTA99fJrZ1mj7tJjtjc6RIEGCBK8aKKdcs2q5eUN33eMPesdb+O8XvgFAy7hxvOVLF7H1sj9yyK9/jLX+OX1QxzjUlN3p3lhmyyaLNdc+woov/ID1v74c1b8F1j4Hj90CWLB5A5QcrMkzkeOmIu0UUirkUI/WrGRaIN+OSgfWX8IrIxr1oOjeBP11rmHrOtTjt6EGB2DMFER1oJPOVRpfihn7BF+7HYCYMAORySCGB6B9ArSN1VbRfm+bQnWQq9E1Yyq2sWUe3LiRJVdfx8QD58ce6zkOC//6N5yBfryebXj9vXiDA3jFAqpcRrkeSgndVyWV07bLoAnEcH9j22Df9aye5sAtm271DYYQUmfPZAplpfWXsHRAOtij9SylEmRb6w9SLmjt02hQGKztbwKaKBdDJKdc0KQmU9ucFIgfA6johaSl9RqWIeV22mSh6pR5FQYal2mZXkbNISawc8r63NXPVYT2Syv4HbbN81UEmYx6cA0ptfx+NuWgVK4asaRT6i8FlearvvDfSulnE/k5bYiSEzQnrQzVTEjnBUYVvh5rJBKVCP4TvIoxYkbGOIj9HlislPpxaNc1wAXAd82/V4e2f0QI8Q+02L9XKbVBCHEz8O2Q89hJwOeVUt1CiD4hxGHokrV3AL8Y4RwJEiRI8OqBAnn4mXhP3g6bVsGYyezx+O2c970vc+Mvfk/v2nWVQ/Njx+IgGdyq3abe8PlPsu1b3wZg65ML6TrvdIStLViF8Oj5xxWmD4lGacVyvFwX1pAJ+P2sSZ8hHZ5Xs1IvlKN7iAAq32ECYKldsepdklOGiTPxyiBzKVhXK7QXLR1Ir4xqG6OzDEM9QT+RoZhGj9m2YNUfTweOlZ/RAVW2NaI3KpQ91ixdy8onFzL7refy3GV/Yr/3vZv577+Q9Y88Xnf+D3zj+2xb9CwnfeY9WN1BaV4kHMu2IPY4FFEc0hmiXDtCeQRNIc0nlJmb777l2y3XW/0eaZXUc3VZUqOyN+XpzJVlglvb9BrRnp76HH3b6n++GtkWVGuXJpDViMk4KIUO8I1wv5K5s0bQGnmu6VUiQFnR/iROOd4wAMxn6qSyqhs1+v1Z/IxP+H67voNXuMTMXGOYcGfyob44nrbLVgAlk1mT9bNdQgZkzne9aya74YUyOHZKn8919fmbFeL7xCquFG20ZMNzzG2SI2f3EsH/qxIiEfs3VVp2JPB24BkhxJNm2yVocnGFEOJCYBXwZrPvBuBUYBkwBLwLwBCWbwCPmuO+7gv/gQ8BfwRyaJH/jWZ7vXMkSJAgwasIHpTLAZnItpF6dgH7soAZH3wDT/QKbvvhpXiex+Effh/XfvXbjJ05gzMu+hDp55bih6O9zyxGvvkUrTcAcEu0nvQ6Bq67NjhVoYCrrFrt7fZNRu/solJpKNYJSoZ69VfbuIYBd/nee3FXLsG9/Uaw06TOexv2nnsiNq/QJUd2GjFW95/x7ZZVSxcgYTC+rK5msbx6JVh5kMoy0NPL6meXs/LJRTz2j3+zYfHzAJzxhYsAsLJZllxzHc/9/cq68wd4/qrrmLzfPPY/cErsfjFjb8Q2I9Ec6IZ8B2rs1Ih9dAWeEy0NEgIwvTgqAaAhGJ6qbYYYPq8QqPAT9APnyrgCrJSeR9bPipj+NRUqplANiGgEHRNQPZt1IJ2q+oxM1fS2AbRmps8UQeQ7dNNUp6izeCM5bLkl3WDSKRMhFMrTJZFxRKZUMMH9SHV5hqRExOzhz3hG72PO6xsz+Of0HcKUis7NLQfOeeWiyYxY+t/ysM7YCJM9cYtVxKMqlPLHiiM3fhPVRmWDERjSIgyx8seMs7T2m4eOpomlldbnGEnXlQj+E7xK0Yxr2X3UL2A9PuZ4BXy4zliXAZfFbH8MmBezfVvcORIkSJDgVYXBPti6GrHnYaglj6HKAYnoePo+jhEWc3/yZVYNSybvvhsf/flXmVbYTMvC69h+8Bms+08eb2gId2hI2/+2j0MHxZL8IYdEiQzgxZGUoT4TbMiaXiU1EBbk2+ruVkrhLlmIe+/teoNTovzXyygD9imvxz7iKOSY8YhU9E+IcMuoelbFeuDG8wJc1+G7J57HtpWravZtXLkaO59naNMm9n7Lm1nwi1+PON7Dv/o9+131S8T2jdEd0+bWuqwN9UJhADVljsnMVM+/yjIaI/aOEe03RLYN4YT1JzGlSDWr3yZwD9/DkUrL8u1ad7N+if65XESNn6bJiLBQMoVIpaBYnY1R0ayLn13LtVdoVF0KbGd08F8dqCtD8gZ7TDbENw3I6tHKRfCM+1uYYFhVY1nhzIE5ziVKHJRXa8zgo+I8V/Uuem6o55CtiWWlBMsnB24dghrzXvtNRz0vej1x96YGEuxQY1HfiCD8jtTTrfi6mUYQMmjS6paCsjX/fOH52hl9XCL4T/AqRZPqsgQJEiRIUBcm6BP9W5G77lNryKVcJj96EwfP341Zt/6e3RffTssKLYLvevQaDv7G55HpNNseeoRhlUN4LsJzEG6J1K671p6uv86KuF8q06jmXQjomqTL1+rAW7EU98G74y/1xmspfOsr2mq4Ckpa8SVlPlyXyp8daWtL2mwb5Dq1a1i+Hcuymb7/PrEff+zvV3LEt79GpqOdgY2bsDIja0SGN22hdzjmfvR1Q669drvnmhX56uVniQ7fq8fagdIOpzjy57yY4Lj6udp2vJ4n06qzMP1bYfPKYHt5GNYvRa15FjXYDQPbUIVBlJVCpbKodA4lbS3Mj3uOw33QvQ7KJa3rCd8LO6uNElRMmZTf1d4vGXQcrYlKm/49xcFAuBy+bKWiP1sN9Bzh29mIL3suKpOvc5AwmQ83SuQivYFiPhd+rytz8Ez2JURIG5XlSdOw0ncRdMpRm+zqJpyeE79g0ejafU2MT1R98ub3EfKfm6/58TNHjZpxJnhl4f/evFJfrwIkb2aCBAkSvFiEV/YL/bDqhZpDlh98Kr+45Ecs2/sELTIPYexjV3Pgt7/Ibu+7kFxLlCDYEybUjOX2hgTx4YC74l5U9b/2tjHQNUk3Rhw/E5FrICIHvO3dWCecjpi+W+z+9FsvxJoyLRrw2BkdzGby0DFRl65VB1rlorbazbXrYLlnsy7pUq5eqR/sgaHtzDhg3/h5eR6bV63hqd/+geU33sLcs1/f8Dp8LPjzv1CtndGNfVvxFj+MahsXvYctnTrAKwyG5i+NG1lVqRTouWfyTc2jglSWke2TvdrnWBU4CIR+tqCD1I4JqNYuVN8W1PolUKjT3BI0mfAcXQbYuxm2b4Du9drhrlzQ96GlSxPManH/cL8+3icF6Zy+D9WlVMLSl1kqRbNWttGjhPVRbln/7JWDYN7vdO9/7zn1tSSe0TaBnktMkK9kSidihvpR4V4svqanf5t+B+uaGfjH1pw8MDaoRtgMwL8OP9smZZAN8QwBrM6IhK/Pvyb/fY0LJN1ylOz5hgGpTGAQEH73aq7Vn0cpmjkaTWPSBAleRiTKrQQJEiR4EVDKiwaM2Ta8O66PHDMwez+u+fN/WPXoAn726AJe/4VPcURHgTaTlcHzGPfY1Yz94NcQVcGr3dFW6Y8h29rI7jef7L77IqaM1X1h2rvwHroeNq3WwZS/at0+LhCJp3N1bZbjkNp7H1JzZ6M8D9U/gLd9O15PN2zbire9G7nH3qGmjQbSt2BWFWKncq068CsVjbTBlGN5Cpz65Vjjd51ed9/65StItbWx5L/XcPKvf8ETv/pt3WNbJk9m9hvP5Oh3noHYuKz2AM9BPfsAauY+yGxOE622MQg/6B7ohlZDFBqJuRsFvtWwUs1pGJySdlSLBLUxzzCdhY7xqIGeoISsGdQrvfKcqC02aOKVa4teZyYHCkTcOErpYHu4r3Zfrj3YnsrWllk5RRgoaqMDAGTQVDJMAGp6urhBH5ihQR24W4EdsZIWhPsZ5VpQnqfnX6zKPjnF+g5g9frdVD8an3Q4jiZnFZiyrlTGlNdVjee5MfoaU2qmjJbKLx+rV15mzEJABve3niucUwxK6RpZMr86Ft8TJKhBQmQSJEiQ4MWgXIz88Veegr6eYL+UbJ59ILsdnmHVowsAuPZbP+bpg+bztneczOTF9wEglEL86st4n/4+cowJnu00wkox9Q9/Rra2kp49B5mpLSWSB58M6XSlXGxHYg5VGIRMDiFkJVgTUiI62pEd7cCM4GArRrBtpWtE4MLoClQmC1uqmnq2dMGwHkMpD1wP5TjgFBkzfgxSykpD0TCeuOK/vP4j7+HZ3/2BrYueRVgWynWx83mmn3Q8uWnTcFM2Q/1DbFy6lAnjxzB0x320Hbl/rU7Gx8pn8MZOQc7aHxHOEoAmMy1jqOtS5rtIZVqba75pp5vvtO6Wow/TX20Pf14I1PoX4ufWCMO9+hk0Wmn3G0yWC8buOa8JTKmgyWomrzVRhjAIz6PSVX44xkY73x4QEtdpbLnslDVJE+Ug4+lfYj0jBc/Rc8PTn/HSkM1pzc9QFanq2wq5jmhWyEdhQNuCxwX1cTovKwVKBo0+lRdfQmYbnYvn94KpA2FK3KSlv8qlKPH0ncY8p8ptTOpStnIh+LlijhC679WouJcxSiOCBK8oBDpT/P84EiKTIEGCBC8GjrFfNeUa3uZosFw88RwufdfHSLe2csoXPsON3/ohAKsee4Lbdp/NebuMI9WztXK895PPwcU/Rk6eDnYGIQT5Qw9rOAWRb1wq1gjKcxHS0kHYcL9eCR8pe1MdiIeteev2VqnSB4TOITwX79kHKz9PHzORnyy6nYsOPI3SUDTz43kebkcnk486km1r17PHxz5EoVBm29q13HX1TZXjpZS88/tfpe0Pv6IHKDx1BOM+9j7klhWxlyQm7lpLYvxrUo4OGIQdBOJCEGl6KCwaWjLrWdXvMRIHz2hJKgG1qrFKFlKixk2BrWubG9PHsO4BVEM4pK0JB+hyMMs2Ynelg/5wJq4Qul9SojomQCpbx+I5rTNzQulMjDtEw/K60pAmMnGBt3L0s6gp8/P0/fK1OG4JNezW73hfLqCkHd/MNXy8Tyr0D4ZImblXyrXqQBrnM+VEx4x7B6QEkdLX4WdHXKdWO4QX/K5JqW+DtPWcInPxG4Sa+9RMVrYeyU7ayCTYAQghLgNOBzYrpeaZbV8F3gv4KdJLlFI3mH2fBy5EW3h8TCl180jnSIhMggQJErwIiHwbKt+uxdHSxn0gJJLfZRb/ueZePM+j0NfH/Zf9ldO/dgk3fO27eJ7Hw5dfyf4//wb79NwSfObA1yA6xxkdxcuA4hBKSES2BVUuoErDCCsdWtXF1Phb0WDGNsGcv80Xh2fyZhW5UAmchPK0lqIOkdGajK6KbbPcvglRLjN2xjQ2LA7KpaRtc9Z3vsLmZStY+OwSem69q+5lnfO1zzHur7+r/Fx48AGKbz2f3J6HwfOPRTMR03dHtI+JL4XK5ILAEq/+irVy9bFxZKgCTwemqUytNXE91ASftT+LtrGo0RIZMGTAINumrZmLBZ2FGi08TxMVhC4fc0rRdygdum9uCXItmkSlsposxd23cqF2m3+utF1DmpWxvw7fIeG52jq6GlljD13PqrxU0KTeM8/Ma7LPSxi2ec4qzs7bMxmSkL7GLQO+0URgsx3X56cCFSJUVoqaXjyjWbD3hf8J/n+D0ZQMv0L4I3Ap8Oeq7T9RSv0wvEEIsRdwHrA3MAW4TQgxV6nGlnmJ2D9BggQJXgRU75ZK2YrKtKAeuqOyr3zCG9jwwsrKz30bNnLjN3/AGd/8EtLU4N/2z+sYmjobAHHUyVjv+BSivevlu4BsKygPVRjQOojCIMrS1rwqnQuE6X4pkOcE/Sxc870QQRf64pAOUIUFViaUrWlQSuOUoWt8ZFM53xUhMQCe47B99Tru+81l9KxbX3e4kz7xQWbedh2iHARlnR//JPm9ZiNtG7H34YFIvn0scuw06N+GyuS1a5ePfGftCrVTNM0pY9BMw0C3pA0hlCFFEfG4yfpk8rpULdtiusunjdYpT6W5o69rQOj7PG13mDw7+Jq6e7yjWQiqOKRLqLom6d5F/d212qfRIJPXGi9lsiC5dn0NdqY2U+cU9f5yQWdQ0vkYcwOr/ntTKoBlo5TQ1VylAmxfD9vW1RIXL+Qqlm3V93P7Ri3uHx5Ahc+bbdXP3c7qubklRl22B4Z8FONdznzIEIGJZICqSu7ihvBtk317aNDZwupyvXB55khZlUalfklKJsEOQCl1D9DsysiZwD+UUkWl1Ap0P8pDRvpQQmQSJEiQ4MWgv5tKWdmWzZXN8phTsP/+P3zijYdy8a++yZQ95wDglstc8+VvaTJj27xw/8M8bk3VH+oah6jnfrQDUMpDuWWKm7dQ7u/H6e/XeoEwSgVjt9tvSoWULqUZ6Nbi4nAJjFOM1ycopb/SuWBbuaADdtfTgXZ1kO/PQ4YCTH9Xaxc3/vGa2GtK5Rs7hB3ylnPYf83ziK3Bs8i/7mTaTj6xYqQgUIg5B8DU3ZGzDwg0GIO9IKQmcP71xmkZwrfQL8uTtmnqaO6PnYZMS0BKKsdL/XMmFwi38UuXPN2Y0PO03qhsGi8KNNkrDQUlR55T6VEihIds7UK2dgZf+TZorUOI0zmYuS9izEREOqvHriccHw0iqRAR9B6x05DKa3IQRnk4aPhZHAx60GRbDbGx9L+x8FCOq8lI9zr9r+eZ7FnVoW5Zu7BZKU1gwhmnwoCeW7ZNExh/3o0ISDNoxp5WVfWYqaBqm09a4s4BuhzNSoc+FwrtKsTctw9vNJ8G15zwmAQ7Fx8RQjwthLhMCOH/j2oqsCZ0zFqzrSGS0rIECRIkeDFIZys1+d5zzwTb27qgvxeeeZzJPM4BJx7L+sVL9XGOwzVf/Aav/8YXWfHQY7TPnkv/YfvR9uitqGPPQORa4s5UF+XeXoobNuL09bHt9jsprl2LQpCZMhEhLAaXLGX73XdzxKP3Q2sLkYAmndUuVaUho0vIEdT/x2T0wyvBEKw8Q+CaFl59d8tazJ/OQ/sEdLBlnMuyLXq7UwARuJiJoX62bwyISOT05fgSm71OPpFj3/0WZu0+g+Grr6f/uWcBkNOn03XhhVjZcCAoEekcYvKumkiEK8WKg5BrQ+XaESgoD2lC4kSvqdIosFwgEuXZOUNqioG+w7cTtjP6et1ioFuQKT1GpNdmVdQY/rmmSZE0GoyYZ2VX/YmXEqbuici3aGG+P1ajvkOjQakQ36TTDr0j6RxUGj2WzK0z2qLikC4xdI1FsG8DXE+k7hSi1uc+ygVdZpbJ6ntXHAIGtLV0HAr9+nk32/TRN3jwn4uQteWGygvMEuphNOSgmhRZKdOP1QaqGlamUkHD0cpJjK1yPR0bNCYyO5KVSvASQ7waxP7jhBCPhX7+rVKqvpWkxv8A30C/nN8AfgS8e0cnkBCZBAkSJHgxaBtbCQTt409DHX0C3vJlsDFa+nTg/LlcF/rZ8zz6t2zl/N/+lM1LllGePAnrsKMR2fgVaHdomP5nnmFo2XLaD9iflrlzWP7dHyDzOcrdPaz9zW+R+RzeULytsT1uLJZ0tANSOotySgg7rWusW7tQlg19W7TAuzAAHeN1mVk6W7uO64ufq4Nqz9XBY8Gt7FNWWvOmwW4TxDuBGBsqpUxCplCz5kOuFSEtjrpwEo/+8z8117F9zTrS+XxF1D/n2KM47v0XsOd+u5GxtL1z7s2nk9lvX7Z+4+uM+/wXSI3vjA7S0qEF3lKbNKi2sVqf43n6uuw0otK/xHfYMmJqv0zJKcUHhMqQm/BNk+Z+2SlqAsK4OMTX7/jBa6XhoiEftukJ4nePrxeYhlfxJ8xEdE7UwXp1cG2nRw66m0H/NtSYqdGYW1rRID9MSNJ5HTznWgN90uB2nRkJWxZbqXgiE0fAcu1a9+K60B+YaFAe1lbacfqf4X5NVkfKhvoExinVEotq7ZTrmNK+BtqaesQh7ro8Tz9rIdBEMNRfxy3rfZbRuHhuYK7RkJzUnKTBXM18X/2ajAQvL7YqpQ4azQeUUpv874UQv4PKn8Z1QNh7f5rZ1hAJkUmQIEGCF4Nsiw52e7cgvBLCFqiusZR/8c3IYZ23XcFHfv4NLv3Yl+iYPImzv/d1Dnnrm5CWBULSPmF8Q+Hm5muuYfHHPqXHOvooWvfYnbW/+33kmHokBmDu176k+6Ns34jqmkTNcnAmD12ToWcT9G7RpTj5dh2QhXUifsAmLZ1NqF6Jdsu6NGioF5XOGutYc0xpSAdcreNgYGvkY0KVEbkstHYilMvcQ/fn3J9+h39+4vOR4xZefzPzTnsd3atWc9rnP8GsuZPJ2USuRwiP1qOPJHP55djjOqNBcLbd2BiH7rWQkGnTwWG2BRG+Julnn9z/j73/jrcky6oD4XVOmGueTZ9Zvrq62kNXVztoGtEChLcSAuGFGNBPQgZGMxLfjCQ0+oaRPtkBGdRIaiFAINECCaMG1DSu8bT3prrLm8ys9M/cG+ac74+9d5wTJyKuee9l5qusWL/fy3zv3jAnzL2x19l7rQ2rYkAnnKlpO9eatpWOXANIpdhKeMxNI3k5CRrLvNk3pMiAdMXr5m7qrm/F1Fn5zooroxjYPAV14k4+x+0ZB6UAu34SuNxhT70oVo8BAKw0EDWWLLhrFsEeKsc3Tfcb4OyLE753ZgXXEvAPVqhUzxiylc46DBe6Zq9XN5kIaCaNtZVcZksITGsjyoxK53wL8jKn8syuMjVTNO20gfr2fS1UlflMm8uGvXWKjLVJASHsvF/UnKRLX1t2KPEcJJZKqTPW2qf5z68F8CH+/RcA/JRS6p+BxP73A/ijedvriUyPHj167ANKKRYXuyjA7rTYz2YZ7vvIb+Mv/8j/DyuvfBDpeEwkBsDGqZOd23/qwx/FuY9/Ance2axeu/zO38Hld/7OUuM89rmvB5BzMF0AwzE1BBSNSh4EaduXuV/IBHbzFAWksdc/xpQU4LXFxmUGu3qUdQtBAKvYqnrtBLBzucUliXvYWIM3/flvwBMf+Ah+9y0/Ub176sX3409897firnvOYLSxQQHk1TopwvE7gO2LSMYcmA5WqGQsGRLXsO7hb1XEtsK7wNqxOolJV6rjtdYCNge2r9KxwYsJo5QE2iZnkuGJ7EVvU5EI1gyV3n7idL5bVBhHSvbElLBKO52SNZVWRCVDYGNA11FragqpNKAiqDBqFT3KnsT+Glg/SuVMBVsd5xNg4xRgDLnida7KY7JwZYtibS1OeX6zy9q6mjKik63K8W4mtq8SyZ7sAKsbdJ1iJqYAi+zlOikmi55t8qygUZzG/MyMNbOvbZSgyq7omImZofMo91AxpY9EzcDALzXkz1db5qWY0j1vLd2bYoMu59u/B5TiY2jJSin+p8/I9FgSSqmfBvAmUAnaEwB+AMCblFIPgO7CRwD8RQCw1n5YKfUzAD4CoADwPfMcy4CeyPTo0aPHvqG0puD2KtniR/e9CMV4hTqM+8sdPY5XfPmXQN95L559+FHkkwmSYbfN8vaFi/iJ7/qreOXrH8TqH/02Xvw3/hrOv++DuPiO31h6jNZYpwHevuj6g2gNW2RcEpUDGyeJGPj2uZfPwm6ehqpZwGoiP+EsNOAcn8br9VKeZEiPLuldko4B2LrtsTRVBKBg8Mbv/Gb88X/+WbzhL3wLXvQ5r8eL3/AgxjE/2/IdCj6P3wE8+xQAQwL3zBvPdJuyJ2sngSiq9QxhiwYiMelKvelgMqpnm3RM5w2gYxptwMYpEbySbYdDRCkHmNaVebUJvNuCQ1uyBiKqO7+5lkVc7sbW0BeWsF8+elu1TSsz/Sqi67UskZFsysWngKN3ABPvWuYTKlkssqDULqL9WdMM8qV0y0eUEKnRfj8VznRku929T3xSkYzo+HQErB5x5MUnBWXuAn9rukv2/HFVY6asHWxIZso6AahKMjVn1OJ2kiZZN4ENximlgMbUy8vk/pbmnL6FtY69c+sZTQB0PcoguxoiGcx+v0ePANbab2x5+d+3vCbL/yCAH1xmHz2R6dGjR4+DwHCVZlJ3r3JgI0JqBf3SB6DufxniL/nTUEeOAwCO33v3zM2ZssTPff8P4Mn3fwjf+kVvwPaFZ7HzH/4tNl/xGRh+yzfhqZ/8qe6VA73DS//FP0Mce6UjRU6ka2WDrWcVB/NjGv/aMRJG+0HQ5Wdg10+4ADCKKdgqpnUyEw+BMqNMVRRTL46dK+TUlU3qAVu2y7PqJ4Br3But6ocB2HiAMy+9H//XH/8KNtc5iFpbr8++25Jm5E/fA1y9SCVyYT8YY4AkgZKGlL6blmRzsm1g9ShsWUDFca3EyKqIMlQ+dq+Q0xUsGiSm4KCyNKQZKoOmiZqbZ2rWOygwqfNZCo+z4PKjKO4O2JcxIE2GAMiyGGVGZFR6AC0NJjFSkiaWynL+ve3azTN078h+444mlW0oc7puAWFWABAnsGvHA/E92LY64mxURM1lbTnjHMpAjWfm0FIOF44gJCBKORJSZHQfSVZGXosTKjkrM8Bm7U6AAJdE8sGEREXHXm8br7xMDs/a5vhrJX6GlxXTiQVKx1pu9R43EQp9hgw9kenRo8fzAVWAc/2+9JVSXHKkoLSCeuVrYf/4nYj+1Ncg+c7vA8oC5bt+F+rUbYjufdH87WmNV//Zr8VrX/cAtv/pP6hezz/0QQzLErd9+7fg3C/8EoprWxTsenjjH/watCrIidYYqJVNqLChX5Gx3XDkBOS7VykQ3brI+oQAVy/Arh+nsiQ/SBIyA28WOx5AFVMiAStHKZvRJiY3hgLetROUPYkS6uUy2QIuPoWB1hicPOYMAlo7orPQeeN4e7PKjZOUOUFJOgjEVCp2NRB+56T9sUpBcYmRVYr33TL2yTbsygZUEJBbgNy7lIbKg/FEXK5kSyCfJ67XlElAi0DfR5gRm4WyJBcvU7jMWJeGZRZG666xpxBnzkji6O1kve3DlPV9LCu5MEVnM1Il2SsAVrIkRQZcftqdt5UjsCubtYxcK+QrwicjbZjl/qUUfSajiM63DZpaFi0Eru3YrGHHN14+JCoCw4THJ2mmaLq9mdyV7oXaNykd9b8riwK1+94a9F07ehw29ESmR48etzaKgh2QFAVe15PMaA27dhSwBuk3/C8wb/xT0C97JZBnUOkA0Us/E2rj6NztnP/0wzh29114yed9Dp78tn+FMEzNP/oRnPqyL8a9/9s3wcZDmDhFCY3h538p7O4WouwqVK1TegmsbTSD4ZUNykjECZ0bFukjHXv2rT4McPVZ0syEQZwNyA1HlgqGtRkJKp9j1iZQXX5cLYt0hcjUzmVvl6ZeYrN7hTUvXgnU2tEqQLVRSuVxV9i+ebBa77FhDJEIFaMWpEUJBaaDzYqYWCuNQBUQr1IgqRSRv0orRBoQiKW0KYFiB9BrHc0cbT0ToRMu8VNeKZDmMp6y7t7ViSWCS5M39SSrm5Spkd40ZdHu7iVYZ9IpvXo2TtYdwtrK2ous2fCydXwFamYIPmbYRNt4AEx3gUtPtq+7fQnYvQJ79A5wQV0TOgIKb93Cs372y/pMOb/sTFkAERFnpbqJm9x31e/h9fZG6hMPaYRpOMskxCpKiDxF3Jeo2o8QL7k2fI8Zr7zP2Pr9JmYB87JYPW4e+oxMT2R69OhxC0N0HjLLaA2Jr69zZgYqAk6cRnTHPYBSlRvZIiQmn07x777hz2OwuoJv/aEfRHzH7cD7399YbnhsDdF7ft97YQSdfS6w2xKAJkmTxCgWwpsCyAoq85Kxi+NWKzq0A1JCAxadSymMUhT/rWwA0y0KCqfbwC6TnuEalNcs0w6GwOAMcOlpt+3JFgX8hhs3Kk2kJ9smpyzPhUyxQ5Q9ejuVg3kkxx27gooi2NVjlJUoMwrqdq4AI3jidNLrKGMBQ8TF7EyQv//9SF7/OqiuTIiOWcLREQBGSb2ru7UUX1pFGRi7KIFxx7MvXH0WOHoGSkeUkYpi0pPsBCV6gxUmkVtcoiYIovStS8BojclLQttSrMmQoDnsRwSAnBhiQJftDlqBy5cVO+IpufHNhTHUPPPE3c39xnEzAwGwviVevAyugnIGEKJjaUOYFRESp6U/ENxrQqhkLG0W6FrRvdTQHjXcItiq2RBZE8MIH0XO71kqlV3KyrlHjxuDPkfYo0ePWxOmdCLuSmi9YMO7A4AajaG0nmmp3IZYK/yFn34L7n/TG7FRXsGJb/4anP7H/wDD17y2vhyC4HzzVLdQO2qZs7KmOeveVlffBhU4G0UxBYJVp3HWfhjWr0y2KHDdukgZF38fk23KosimLaBUBJy+zwXLu9eA8Zqb0d+5QsLkteMU+7acY6UjYGWz/fxzE09lS2C0wpogdli79ARQFrDZBGq6w6VhTI6sxeTXfg3bP/h3cPVvfz+M6eo7Yuj4y7KZRZAMkyk4MPdtoHlGfIkZcBsKuveKa5e8qiLF+h8QwVs7TtbcK5v1RotyPba494uIwcV1a7hGPXsUZeYahMs3MYhTikjKrL18kA4WNkrpxwK4dBZ49vF6NmgWRuvAkduYpLLQXbJ9RYfVsymXbzoYJ5y9s+5ais12bbm0fqxSShbxxIP0KvI/v/45NFyyFqXeflrImNLNcrbIm9wQDVfj+5EnLYqcMzw9kelx+NBnZHr06HHrwQ/upjvUY6Kynj28qXg72cH0H/4tHL3/5fiy7/g64GO/BwAYD4Dx9/9VmKtb2Hr/x/DsD/1ws55++xLMufNQSQr1sldDlSXspWeopEZpEt0DzkVLGtxJAz3T4qbVhgGVWFlE7KQs5Kcl+FTeI8aYugmBjqmULY4pAJZAyRgqxdvNqN/NzjUiGZeeJsJhLTuRTckg4MhtzXORjIAyp4C1YGc1cWSyuhawKWthTQGsn2KNh6HtDtZgB0MozwEt/8jHMPnRH6bD+cB7ceXbvh6b/+XnofKAQG6chpI+MzpB1V/GWgoK7ZzGi8vA2KYRwV6QTygY5syJUhHs8bvIuEFcvKyBHY6JSOZMJK+co0A43yWikJ8HoCtyovzMUo2gRG65pbIdlrIqXWSnDemQmmEqTfdsJea33RoYH0pxeaKdPVbJEBU5AA3XB8gbe7Vs1NC2AWhqidrel94ypnSmFHFCH1/fxcwfV8OUINjuLM1Pj0MKtVi55i2Onsj06NHj1oSO3OxkWVAwc9ihI8Rf9LUof/0XoV7+8kasoR99H0avfA30iRPNB9i1K8Cv/hfYlTXoz3g9leVvniQdzGAFqmvWXmnYOCIiodjBDOiwBOZZ+MvPkCh/5UizH0ltwN5ubAmbjp1o/+gZNybD5WYhypLKxzZPA5fPUV+adAysn3SZgWyXbZA5+IuHzc7rloM/a+g4g+BVKUU6l5UjZOmc7QLTa0C+C7t2DGq6g+LcBWz9839YW2/l7/zfTRIDNGfZw+D3IEt0lhXphxisUGYgioEkZVcxshJWUdocq3/f+RmG6S4Fw8MVYO0ElFaUXfKNBKSvSpGRdmQZkwKGMiXp0K6cX2yFdEz9gfzbmTNypM+agTihMfv3SyR9YbzzonSTLMRxkySVhTt+FQFoIQ6maJovlOxsppTL5IUfO+tn9sLMV7CsjpoZGq0AtJBK6W9Ts77u0ePwoCcyPXr0uPWglGsoZ+1zpv+BSgfQL34F1H33A59+n/eOBnauwiYDTH7+F3D0Na+kALQN+bQKZHSSkD4GEc0Ot85iGyqfLxab4bZS7uX3sug+ovqffuDrr9dGmnTs+rBsXwKOnKRgbecKcP6R+vrrJ2BXNzhDFJQwiU6hLF1vjfCYoCmrYQq6V8abZDhgCuDKWZjVY5i+87eAZ5xuJ/4Tnw974VnY7B6olDMsw1X68YPEthn8Yur61Ow3QxgPFrgOAg2srFHJnlKsk8rr5Xf+eINSI2stalmUIgOGY2owKcsfuY1K9qpd6mbQLftZJhsjfY8sl+11HZ+/s2TQJDE6clkM4xGL2r7E+axlbFLqVRoAll3FijqJaSMKgoL1WCWXkVnQdnx3Ma2a50zxcl2ZqNIzSZCSRTlf4b0Ramu0dhMDoauZ1lziBnbQ63GocIgrDG4UeiLTo0ePWxM+mXkOfdnrYydhPvlu2GsX3Iun7gY+9scwm/cg+403AwDs572hPZyLUw6yPFjjGv2xfsVGHGwpgITJ2gU32gmq67Ow+yxj0l5JlVi5RjGRloqYsVlAMaVyJQl2ty5RtiUdNvueXD0PlBnssduhwgBSaReoljkFaINRFbhZq8hlTGbA8ylgM2DtOOzWJShbQm1dwPDzPw+YTjD9qR8DTp9BdPwYsn/9T2D/7Ldg8OVfCXX8DFBkIGuDOaQiHh5YVkYpS6YFVzsyFGKTzERAWS49ynebpC+E2HIXU7KhtpbK/AS2BEYbRGQ2TgCjNagoqpPiMsgYFYUjXp37FsF75JkiFG5MsI5s6piaoCYDAAq48Ditv3GcLMBDEuP3TpHxqMiRNsmGzHBIQ5FTUG+KJgmq9jNjYiDP6RB9hzStaRxKjr8FM+8Z48rfJHNTFqgaqvqkMRybilFlhypiyeV0beVvPXocIvREpkePHrcuniMExpYFiv/+k9CveDXU3ffBPvGJ+gI6AoxB/rQLIsutXei2mfiXPFj1QKmgOLiplZcN6o0jBytO/J9wT5h5s/zzgnFbguq4uc+L1kByuwtONTshWdNqVKBQwg7GjrgUEyBXwPE7gItP1wOy7SvAcA12vOGsoaMBlYr5SPi40zFlGGxZt3IGAGWRf/zjKB97HIM3vh6qmEKPUqSf8zkoPvg+DN74ecj+448AAPK3/iSiV3820s1jPMasHsg2erSwRmceiVgG6ciRg+EKBdkc2NdK//Zio8sBvVIaNhnw3xpVMz6tgeGLAFtQZqcI7JPDXijKsgNdVs8iiHMYrQSAncJKJl5V9qKkUsDhKhHSKK4IvbWWNFNRQk54YZaE16/DADptZmlalwU3JgXdV3FLuWpL6WITBg37b1+jFnNGSErW4Gl5wt4wcmz8HdEoNVSeU5yOeP2w1LGNdMlnu7de7nG40ROZHj169LjJsM+eg3n/u1D8zFuQ/J1/XG+iGCXA5WdhV45g8j/fAQDY/IG/B7txHOq1D3LwwmTAlMCRU1QqxaUlVVDfCJqDWV+flOQTMgdo0634qLluaW42qVD127AABmPanrFQekAv1hojimBVVvKHqJvjVJwVOnk3cOVZj4xpYLxKmpV4SEFbSI6i1JGWbIebUzaDuPLaLrb/5f8L8/GPIPujP4nV7/0bsNeuYuc/vAXJK16B7CfeXFs+vutubx/8WE24jM2WFLhLDxqgqeFZGtqZI5QlVLELe+Q22lfJhMKURAxabYw7glP/9Iv9LxQR2zIn4b7WfN44GJZSr6rsy+tp0rbd2v4skA7YdKIIBOrsKOZrjDx3OyqNi2tZSaUUnZeQxIDPlV9W5qMqF5P7UpE5RM3qmDMmvrFE2aJnIeu1jgP299lR1gYQ+YgSPiehSF8+D9o5BebT7gyQf4JM6ZaLElSfubbyPsnu1NCLZA4VZDLheY6eyPTo0aPHzYS10MdPIv27/xzmoY9AraSwowdI3H7hKQrYP/R7KNfuRvnhDyD9nM+FfvfbgZ1tqL/wN4DtwHrWHncZjNGaC2QsgpKXsGdEVg/K/DIwH/GAG4tGnGnRRKSkkaIORM4iUgac4xIfNzlh5UA2JW2JKd2y1rju6GvH2Kkp8t4vqXxotELZGRhyOEtSytzoKOiWLm5lLohXZQGbDoD4GHDtEgADW1pMfu5nYT7+ETotv/UbuPze92Dlr/9NpG/4HOT/7ofrp+PL/zTU6iqkdwyKjILz3A/k7XxN0CKQ0qN8F8jrZETFmoLeatvGzdKHsGW7PsUUfL3gGiEaJmI+JPD37yW/c314b9X0VJreTka0nVrjVS41lODa8PbihAiv13tGKcBKbyEftWsOUIkUW2HHs0Iezhxq1bJ+wsYEHmGJh/X7tUN/NRNF1hyvjjqa0frjSZ1lcpzMXraNuAFOoyQGDNIMVY6lzcGs5zE9DiF6ItOjR48ee4Uxrmbfwglsl7HENCUw3YbSEfTx47Cffi9xjzgG7nsVBcUPvAn2mUvA2jqGr38N8Ee/DNzxAgpoQ/j7NhZ2ugXKkihAJ7BaUaPDNKeASFOgpqylEqUio+XjhMgFLJVoKT7eMoOSgNWWRBx8zArSS2702Bpcm9Z+KEoPeaa/vceNTYbAyXuBy0/TeCUAk9nnZESkIo6bGZrBGIqDebt2FJhcw/SPfh/T//Yz9eWuXkH50CeghwmiV382yne7RqSDb/kuOncmdxmE6S7rYKSErPuULAzRtYRlRbMwK/BUEQBPDxEPOMuBZsNFabLYWH9GkBxmKnQKKCa7JmcXLC9wlrI0uX6+xXDhjce7vxollFFIYlAvpSqy9iyI2LKXeT2DpXwSw4gHgN8UtiwpYyX3bkgsosRd/+r7wkMRZH5US0ZHGlaKNbO/jSKH3yS0se8uS+U2zUzc4lJXQ89kDh36jExPZHr06NFjzyim7aUhcUrBjSkbwVcDSpE+pchg/WCkKFi4TEhXgOP/6odgPvVJeuFlr6HAfbobBIxeJmW6TYH8+Ufca6N12Cc+ViMT6gUPwHpicXXiLuD8o26dtePtsXiRUenYohbAlT5i1oxziNk1+opdu+zpF7oyOh/5LhE0yQbI9tKVWomXsgYmHsNcuNDYRPSa1wOPfBzFh98H/YoHkHzdNyP/r/8J8Vd9PaIVTychQaCUQEUtFrx7gU6AybXZy7QFsv5rQgwEigm35ZIrIcVikAG4e6QomsFy6EwWisK1BhBoN/z7pNKimHoQL051PqmIE3ovD5plSnPRoqBSvjxs+tjSG6XIAuLB6/vXybddrsobeTBKNR3+iswtY5UjZqasZ72ilAi1kFspv2wzFlCcnbItpV9hNq31PuPr1dX/pu07qdLhpM33evQ4pOg76fTo0aPHXmBMt6NPkXFp0ZzZMmOACTd3VBoqTqFe9Hpg/UTr4jbPgHf+D/rjf/4MzI/837DpBnDXyx2BqQUothng5lPql+IjCGpsY9Z4RjC+7IRgJ6nreN1wiVSUUpAtP1HKTmcUJKsyA6xuCrCTEZ3jbIcCvnTEzm5lYyw6Uhj/2W/Cyg/+E2CTz9HmEaQvehHMh99Hw/nQ+5D/6i8i/c6/gsHXf0t9XyW7fFnOPM0sEVoAck2nc0gMgNpsuYopOyHaFRlTmXs/Gdvq5sEM/9Tt1xSspTDNrvRl4V4z3J+Hds6lSmwVXGSOxIT226KN8bvTy5i4oWbVlT6f1jvcA7w9Nh7Ip07HAtAxtxHbeEAkJh6wTXKGiqTomDMweb0kK/ImB0pudlk79caVrZWZs6b2Mx3SZ6aY8vt8HSS7I/tG5Eq+5FyISF8QfobasigxZ8RKbxtxytdWLZfZczvawzo9elxf9BmZHj163BqQB3MY7FwPWMsz2DOyBcUEiDp6vfgYrRIhMjnUcIX0LafuAm67j4jLU58EdjmQvXyZ9CQCY4AkhlIWuO9VsLtbHOR4AUdASlQxhV3ZoOaS/vH4CInMdAt2eKppbQw0YhsLW6ckjSCri8hwvx9/dlp0NCK+DhGFRgBsfJCM2bo5omAuHQPlhIM6APEIiKPmLHU8gMp3MXzd6xD9s3+F7Tf/Swxe9RoUP/Wj9d3sbCF6wf2I1teCAQVOb/sp+4gSIl+LdLCPOOBPhhSAF1k9iG/rOSQ2zEJqak5rnhV3TWQVwju+ivzYgPiyKL2y/vZX1yzA9wT1uiMLIUNoZDukHw1nfbQGomF7s01fjyL6n+q9sORMe5kO312MS8mq7IXXUyd0FIsSIpCzJgJMWXd100EJpWSVakQyOI9hTx7p/RLupyJWQwBl3f65hp6wPDcgRinPb/REpkePHrcG8gk9qKOEAuIusfp+YS3ta5EZzWLa3bjSlNTlXvqoxIOqzEeZEtAGKopgX/AAzLnHAQXY3//1+jYGQ6gTt1GQn+1ARRoYsK5FyE+bGDhsEBoGy9kEtXIa096E0GqxxOUylrIEsilsMnC2v2VQluT395H6GiE7XRmMdIya0LoaQMuySlE2ZLDi6W7YZECnRHCKXdrcYNUFf3Fa0xwld96Btf/jB1B85MONXURv+iLEL//M9rEeBKIUmFydvYyOiLBZ42bdQ1ctQZdLWUUsWOgu90HNFplR5i3Wv8ZlUqRUK0oAiOYlq9sRh0FXwVoZsVb2Bf61Y9Wo7IpbP3e1ZjH1IF60OqGovmRNkylR6zUEeG52JY0/7MuUZ7BxQnstc6+ELSQYizWZrd/HLT2gqvEO6FjarrF8hnTEWakZ5Emyc222zbqF4LcPtEePQ4GeyPTo0eO5D6mVz3bZbakkDYRSBy+GLPLFdQ9d+7ZsDjBYoQAinwC7YnXMwUI8ALId2Mk28OTHaHOf+RrgFa+FfejDwDvfBvXF3wD7x2+HfcHLoTa4g/l0i7Yy3oA99xTsEx+CyiY0Kx7FFDSuWCBehV3bhBqOaIZ5/QTtuyxgywJY2SCrYnFjMmWTysQxcK2lEeNwha6J4mONUzpv0mU8azEpkJ4ZbXqbziTOjIyYNbRPCWCNoftisOJspadbRJJUeyf2aDyC/uw3Inrzf8bu9/9l4NJF4OgJDL7h2ylxtExn+kURpURwZ2Gwysc3DXQvHSeqLJrZqyhxZVhAPUY1JZHdwtRJjQj8hRwLGWgjFxUp8rIFxssCSWbFhi5hgsDBLEL35IGfUTIFZzisszCO0vZ9FDkTFSGzfK9XQn5eLnYZHmss7M4lYLQOFcv5k9I7FdwThkr82rKJtfHn3viN5/AGV5JX5h3nCW65ZMifsxn3pPbMD1rtmP0DD9DzmB6HED2R6dGjx3MfWgMqARJb9Sy5LiSmLNqdwrqgOrJC7FSGKKEAZncbzSjBwkLDnvNE95eeAk7dC2UnwDf9ZeDqRbIevvg07OZJ2Jd/NtRoSO0FJteg1tdgX/oqmN/8JeB33tYcx5/6OqjjG8A57zWtgSNnYM99kI53QkG/uu9BYMWVUlmruo+vLOoOYcorDVMdjx3fBrYBDngj7ptRKaX90qa4fr2VAsDBvgSikiVIx5zF4HFGCS8TBHDxEKqYIj5xDKtv/s+Y/NsfRvyq1yE6fdqN6yARJUxiOghaMmINh5zLIJPSdb+bHBiscXkXnJWx9WyRbXDeq+vgZV0UmuQtLB0U9z7JjpZ5fVzW1IhBQ3sjAXXYQ2VeM0+/NK5gomTYbrvLuQuW76sUVGrVQQDKDFanZIhx7jH67G6cgL3jxYA1UD7B8s0BonQ+iQGcZkuggmzYosgn/BkCl1W2NMjUun3TvuFCMqB1GyS9ZzKHDr1rWU9kevTocYtAKXoARx31+PuFYVvdRSHi2hDWUrDATmWUHQgChHREWYt4AFx4rGUcO8An31N//fI54PxTsE9+Cnjpg8DGUSiloFSJ6Au/BuUf/Fozk/TIx4Ezf6Jue2wMnbvtK/Vhb12EEdGz1sDuFnD+UajT97SUhM0IeGxBHdmtEBHlMjcgi2hEkSMsSnFpmm3P5Kxs0P5D62bt3QfllB2ySgoYq7IatjSWHig1N6uBIz8AVKww/J7/ra5RsiUcqdonooRJY4eNro7puieD5QwThmtEAtp0JwpMhDLOanrlVyVbV4thhCnc0Hwy42cT2nq40E7cS5IFEAIlJVOyn64Ml5+ZaENZoH4tDJPbyNkuI8j+VL1fVGsZmGUzDrt9FbjwhCNKozVgtAb7zCPA0dugEi+UEvt1UyxWfirnLE49It2igWmc2zaIe5yn/6mIYWC13LkJr4+Nb4sN0/OYHocSPZHp0aPHrYXroY2xljMMC86Sxml3wFkWTFJiCgzayFEUAQVgdwKdRDoCjpwGjp0BLjxdf++elwMf/UMgm8C+8wng9N3A/Q8C65tQmEJ901+B/fF/Vl/nUx8FvuhrgItP1V/XLY+Gs4/Ann0E0DHUPS93TTd1DGBOgNUm+G+bJU/GgMqIINS6zCcdmRpQANoWnElzR8k0iNtUo9RsjXUS4ICX+9bYonH9lNZALWiNsZyVdAd01E1ipPRtl++FfEqBdKsY3itLrLJXpROUtyK4R6OIspvWdgfO/ip+6VR4ncuMSWjL9dExqr4yCA0CuuBn4IJmmJLRq4hJhqpEym/WKXbESrvjC74zbDalks5zjzbJ88l7gK1LwNOfor/zCewdL4aSG9aCzkc0wNzPReyVvPnnrtUaeVovOWvdXosNs59piZP5uh1/39U9xrbY/eT/4YJCn5FBT2R69OjRYzZE3D9vJjMecL8LL5PQBrEALvMOLYQGyhJWRbBPf7r+1m33Q+c7wAN/AjbPYN//TuDKs/ReOmSRPuOZR2HPPQl8wdcDwxHUi14B+zlfTFmHdEAia1O294zwx65j4MhJ6lkTxXRsnlmA1RHUcBUN4b6P8LVZ2qG292yL+HwRaB2U+3Op2WBM2Q1xePMDbRFtJ0G/m2TENtne5oppiwB+L+AyOB9S7lZOQWYFc4JYy01JRmvO8rj2fsd6hhsqitufsQBClywPOqZyLDFw8M+dNU2dkzX1ckLZrphAAG55KQfrKiOTcjWgngmqtttBkH3SpxRdx1q/nLIq77LWwHzi3cDWReDul0PFCTWQ9bF92f1+5Txw+/3N+1aygF0EzSdX1fHo9nIwgMjsrJKzykq6A9Y0My0WLttGG+mwlOfyPKUAO+yD5x6HCj2R6dGjR49ZmCfu1xFnXyJU0WLHg94WGZcm0YywAoDxOmVlJNgaclmZiqBP3Q17/HbYpx8CprtQKxsUAE63aDLuNV8IO92FvXgWeP87mzv8jDdAXeSmmjqGeumrYH/6X9SXue8l9P9oDVg7SsHXyibUi19Pr5c5sHsNtsyBsw/zOg+49SdbTd3QcL0e8C/aMLMrgLWWGx5OYZX01HCRebUrcbdqO/9Vg0ZFwbr09ghL0gDafp47LUc8JNKStJT37KfcRgL3aUBoU3YjqzbO4xWiamT233OqKgvK2qwead9XG8GUJpllUZ+5F8JaQbkyLCEKycD1SkmGRGiKvN3+3Hg6mxqpgCsXk7K+tuC/KnEK+rvoyJEh2e48Awa5x2xZJ84FaXJUkUHdfj/sx/8QePTDsCfuhDp6Grj4DJH5lvJGe+FpqOO38T2mHJkrMmc4ULtRovaJEb/MT45DnMWKYvZx6WT+ZIugrcGmEJtOPREcWe5TMz0OEXoi06NHjx6zYLqCB85MiA5GOqS3wVrYbApsPetmc3UCe+Q0lDg/Dcae5gJEDq6eJ8Jy+gWwwxWoq89SMLd5gsvStqA0YDIL3PZS4OxDUFMW2ccJsL4J7Fzi4yigxquwd70YeOzjbmhQUC94JSWRqj4iAK76DgBgC2Q5J74tb0vwlG3Bjo7wrLuiAHy8QUFSUQC6hLLW9T+RYFIrN+GsE/e6tbASCE636sRo9bjXQDAHrN8/ZdWVEpUlAO4WHw8o6CtNi/aACakCjVfeF/OAENKhflEnO4CCfWOASdDoMh5wMCukwnvP769TZHR9TQZsX6pvozPzwhbaWtV7tfi6F4CuWcElYfJaEVj+iuuemDP4ZFAaXJal6x/jB87xgDM5rOOQRpJyTwnRaPSLCaB1u+5nXpBdilMZXzffYYz7w6jRGPbYbcCFp4Dzj8NurwN3vpSarp59pLnNOIGNU6giA2Wz0mB/MZFPyV5F0WzCAHApWFpvrNmFKOG+VXLOOrI6XShzAIqzyuns9Xsec7jQZ8d6ItOjR48eM6FbSofihEtTvBKyznIpA5tNyHHML/0yuTdL7pVu6Bh2uAo84cgGdq5AjVZdMHn5LAVy6ydgdnZh/sM/o22/5k9A3/+ZwFOfgHr5Z0HtBEHuzmXoL/0GmDf/fffalctQR47WA+B8QhmaXS/Qjt3jwpaFi2XaiJ4xMDtXgaceAq6eB4yB/sw3ATuX6f2141QK16qTGQLTCVAGM9/JoBn4A6iaXLbBduhnqswZ60Bizi7ANhtliuuWbrdoBuD6pdS6wQ9A11UyBZLlUC3OZJqJrA10H94iSruMQJnR2NvMD7rKz+IIsJpKnqRXi2RkfLIg7m+mpZGjb5GdbVOJZLg/sXVWwfriDGbygAizSL/kEreyqLuahZCMUVEAaLseFt1liLxup96KJhVUkdHkwQXWjlkLvOd3YG+7G9AaSuze73wx1MoRqLDppU+Aq2PULgPXdt9XzTflMGYYH+iItqeVZ5qB+vK++9siJZlxUj/nodDfDWz+tnr0uIHoW4L26NGjxyzEKQXXUUwP98EK6SWUnt9V2VrYfApMduokBiCiEIqgdUIkYrLdCLbM7g7sYBVWyI8xwOWzMO/9fbftd/02zE+/GRZj2ONnqAzLx3AdWBkBX/GtbojnnmgMW1lLQWptbN62/Bn43e3mfgBg5xoRLg5arV82tnut/reP0HbXDaB9+ekObJs5ATCjVM37XbGuIoroOncGj/Pm/bzxyQy5Kel16bViLZMxb1zpCBgM6XpbTwMC1MvBTE4/ItrvNLXwtq1jLqHTXJY1dTP9UeLKn6T0Kx6g6lIvBNBa55pWFkC+412fgLzL+mXmznG13YyNGUxwjMaVClZlaR3ObXFK2y2y4Di9YyrzGumu1pXSuGLqjq0o+LrytRM7awAqSYDbXkiv714DTpwB3vaTAAbACx+EeslnQY/XicS0oQh0OEJq25wMaY/1P9tKAQG67kJ4iwxVQ9QQch0ANn9IvN873BTD9YVYSRlmj0MGRff+zfw5BOjvzB49evSYBbF1Bgcl83p2MCz3X8FgTAFytlM5T5nLV6BMBD1aC9cioiLlYfLqcA348O+RxubeVwAbJ4DJNdgcsL/8M80hn74d6rd+FrjvM2FP3g7sXCJycuwM1PYlRC95APae+2EvnIV99NPtM+Ch1kF7x3vlWdLTZLsU5G2e4IA3Yu28odl/H35WS0TybeVYXee19rImC2fJKISz7HHqbHAb+gSQeUBoLCAi86pLuywrepSW92rHl3uNP0u3zWToZuZNwdba3LsmGXllay3HbzwBeO3YuhzI+ERVjR2D0jHRmRQZqkalgCsd86+5ZJDKvKN3EutBfFT6E+4VY73sg69d6froyLkuOINRBUuBbXI1xoS2VeQuyyTbiWIibW2ZJcA79szpfTwopaCP3wHzzKfp/KsSuPOFwEffA3XPi6Em14DR+uwSrmLqtEGynBgiKCl3RHdpoorqkx1CYnyCrjv0NtX7cOeu0jkVXskll7516m+Ms6/u6gHVo8dNRH9X9ujRo8eikB4wM0iMtZZ0MJeeBo6chhquwGa7VTd5u7UD/Le3wD7wObBv+kqoqjcLC891TIFF2NNDAp2HP0Rh+b2fAZsZ0nn4WNuEGvA2P/UB+rn/Adgz90KLa9H2Rah0DDUaAC/7DGC8BpSs0Zly6VI44+8H0ztXgbs/g8qLigK4fB726rP1ZY6eqZ+XLAviVynJ0/UZel8LomMKykXEv3rMBYX51AVfq8dJD6Pg9BewzuXKJx+yrcg2A0AVE8lIRhx4Wqfp8O17Q7cuQVHQ8n7gL65gVZBvaaxCsBr3UvC3igEUnl6lpbGo1qwHYu2NlAO1lo5Fbjxh8GwNbErd4VWbCQLgSipNzuVlY7ftmpNYWBrlHVcROI7JelVQXRC5yKesafIyCELIfIMCdyK4j5Spn6twXclECYxxZXPe6yrSwN0vBy6cBba2gScfgfr8r4USUr+IuL7MXJPKmh5LuUxdm1OY5v470lsmilhnE3zeuzI31XbiOsmTz4L8L712MEdTI/1/kl6T0eNwoScyPXr06LEoFhFWXrtAupDjd0KN1qi07NnHAVPC7mawP/9jAAzwvnfCvvw1UKfv4G2LFW1JPVrGa0ByHLYoYJ96uLmfhz8IBY3oe/4mzGOPwf7iT5EW5au+EXj0I/VlP/k+qDteyL1wQAFdzoHM2hEozwbarmxygGaBzdPA1Wcp8JtsA2tHgGusu9m+Ajz7WPd5COOr6Q4wCEpaZJbe13qkI9KCSCBsOKtguYymtbcJC6nbYjqtAT2g96zlEi4mHErzuqBjFiKZ73Cp0qDpalZmQOI3L/QRiKTjQV2joGI2EZjhPtU2fulNUttVDow3nQmB34ldzAyU4uyLZGnQnlHysxP5lJpAJiMgopI0JeVppmxxbfNOeuUixvePD9GJyLkIMwlRUp8kCHU0Qijbzp2v5/AzQLIfzSSgbd2KJHFfGZ9IRwnUibtgf/ttwGOfpMPd8RzmprvAcNwkFyHCZqu0JedqBtuckJBrJRMdbSRGz8qkMGpkq+X7yxQue9mpr0o8fVivkTlU6MX+vUamR48ePQ4C1hrYK+eAy89QMDQYk2XxhSeAIoPNSthf/ula0G4//C7SinC5iLXK9ZbJdtnhzAJPfbJjrwZ4/GPQ0QT6u/532BO3QdmWQPXE7dTMUTBcdcL5dKW2qIKFKjPoModePwZ154uh7no51Mm7gVP3+AvORrZLgn7BpWfqTRmLnGfcwwDOUJmblD/J7pRFq7WvrNMJy/qQvE4ybEnELtulDErJugs5T0VG5CsatG61fVeeM5VYIkvgHqc0y94VeIoGK9QbWVM/R5IpU1wfb4rmOSym9HrNeSwLMlOJK8ErMpeJMLzPnUtEyssS1vBPW+ZAerJUQnY+Psm6VDB17YrxCI2OKMi3Xpas9NaXDJt/7ir9T+TpOQIDhTh1pWW+iUIUN4+9Cgj5vA5XAa2hTQ71GZ/t1t3Zrh/TPOiIsnhdGa4ydw5qPqp7WrWTGGC+RiFKvVJY3X3vSYPYuO1eV/V9z8sA9ehxg9FnZHr06NFjn7CTbQr6WAOTqwSTJ57A2hBAtgtbGthf/++ueaXgfe+EfcVroW67x2UDwiaZg1Xoz/5KmCvPAh/5/db9m2iE3UfPQT3w+Zg+vYXxva+AevhD1fvqM97gyp3iAWV8BJFn9xsHGQgdkeUsABXHwPox2Nd8CfVzKQ11OPedzTyo7avAyz6HtDxFQYHt6jEqscun6CzL8RsDhugK3Ey5B+FpFxOrNcAB8m0qNfO1Nla1j9HXOpiSA0OLSmcQlusVBWV3ysJpiGyGWlNJCw72Y6dxqbQ6Ik5n5yqlePjsOia9XQQ6Ykcx1pw0qpQsa468Zo3ZNv0AQDqGHa6Sa5eU8ZV5d6YkzLrUzAsKl5ETIbkpKHMh5gT++pbdyMQYwNf/VPvzS+mmgZZIsx002rNSMjaFxudA3XaPy0Oce5z6gcoL2YSze0GAr2PKpixinwy4+0OyhHI/dDVb1Un3e+6g3K8RW2F3NQ0F0ErM4qBxZ09kDg8U+owMeiLTo0ePHvvC5NwzGEwuQIKGMhnjF77v7+GZD34Y3/7zP4mVWMH+ztuBpx9pXd/+3q/C/pnvpvgzLB+KU6hsB8gn0OtHYF70auAT726OYTvCub/zd9wL4xWc+pvfi9GZI1D5BGrtKNk/A8BwBbjIv68edd2+AQpa8tlBlzIFBWhKA6fuBuIBbJETiTv/BDBcgTpxJ52P3SuAKelZm8TAlbOgYDSi8qU0pcB6JO5PitYTkTadIVSN+MR2thFwzXiYH0Tcle+SBkUss4UcxCkRAi22xP65Y2JVs3IuguDeNMdXZVrg+uzoiMlmhIqw+GVrXU0gpVSr6hHDpCNKaHxaVaVUVkdESsO+ND6yHSJevhlFMuDZ/KRevgc0iV4ZkJOqf1Dk1sknzlWrVl6WN/VOgDv3obkB7SAwNAjX5WyQhdu/2EH7EJ2WMcAzj1NZYVXyVQB66AJ8HdN5LTgDKLqleeVnAJ+Xks7pPJIibY180X7t2IJ7QjQuctzS9NUv9QvtxRs9loC+tKzHYUNPZHr06NFjj5hcvoJf+l//T7zky74Qdzz4GVhfH+Id/+hf46P//ZcAAP/yNV+A7/yv/w7HHvsErTBaI+LgB1Sf/jDsYw8Bt9/tmlcKxhuugeZkG3q8Drzhq2HLAvaxjwNPPwQzWMOV//rL9fV2tnH27/0g9NGjuPNnfw6RAuyJuymQuXLeLbd2BKpmC+0HcByIRynC/iZWKZqlNyWQcU+ZwZAc1SRzkE3QHvSwQUGZu5n+wXjGLLGHsqRzWJuFVBRc+xGs9X5Ruun+VF9o/uvpmAI6yw52hrNbxdQF5r6gWpoKhsck/WgADqDZ1StOgCIoHxMrY/+1KpgPSUvHsVjDrml5/fgL3o7JXYBd5otpd1SQ+cqn9LN6xAXfVWakhWTVRP4FH3sQLEtPGT9rA9Sve5zQ9Siz+rmXfeiIjQ/YeMBHzASxLTMoFsx+KVoSA3e/GHj4ozSm6QQYeyWZeUbEIBk0M11lQfefn2Wbh3lZD/+c+JogydiBP69CRGoaFzgNHOCIEIm33DJat+vRwuvfo8dNRk9kevTo0WOPiAYpvurN/wI/9VVfh5//7nfhFd/wtfjAf3pr9X4xmeDNX/Et+NZ/+49x5/mPAF/+jRRs/NJ/cqJ5APZn3wz1PT9Yz44ALYkGA+xcpoqCM3fD3vkiTN/3AUz+sL3kbPTa1yFeGQMwUBz42M1TwBqXeGV+AKjqgVaS1t23otTTLLQ4fgGuHGewBgULe/yu+qx6pQeSXjgFl4Vxs8YusbGMUIGE+n6cl650GAAIWCtSlCReV2znawzpX6QUiwbIZU7e9tKx01AoS+fEt6sOBes6ah+PZkIluozaDH0QHJqyOSMvIvrSLy1jlEV3OV4+4UDWG6cCZQ28xZVSsHHSreWo9tWRsTNB2Vhl+8x6lCpj4peaGcC2hSHWK28LLLIr3UuHYxmC/UhpVOVYVjpC2EUAg3IdpRRw6i4iMgDs7i7stctQo1Wo9Q3YYgLoFaiu+9CWZDgR6fmEXe6PZVGRPS4NNF5mLDxMvwSyci+L+Nyy5ip0O/PH1+PwoC8t64lMjx49euwVyWiED/3Mz+LsBz4MUxQ1EuPjJ/7i38L3vfvtGD39cXrhy78ReNtPA1eZzBQZzLt+HfrFL3fB6HAF8B2SQpgCKiuQfeqRzkWO/7W/BhXMRitTkH539QhgStjpLhQs9WXxA6hw5rXM3ITtrOZ4yZCyMQpQZVmf2fa3reJ6eY6KaEa7ei57D2gL585l+QVraUZ+Ef2BMajcz+ZBc/8RWVjcv6phKSoBlIBa9i/9YrR2WgeulHPlVqa9rr2YBpmLluDEf6my9PWE/pKBkNKm+kEtcOBoGg20IduBjRK6j4LXqd9SAJ+QKSaSMVsk27KpLREI2fXdzkwZlB2i3bFMIORRzq1/3gtvu7V1otbgUG0crfiAfeu/ps/KF3wdMP5MmI+9B3jik9Bf879Qv6YQUeLKRlvLtYL9z7qnw+xKCLHVFvLa5mzWNsbwXm4jtJJt7dHjEKEnMj169OixRzz2e3+Ad//oW5Bdaxe8C77trf8eo3Oe89jFZ4A/+TXA+34fePRj9Nrv/jIJ/6dMXtKxKyvrQJmX2PmD32t9b/WrvxrRieOwUVRlYwRWR8DViwAMMFiFTcj6th6izChvmRVIRSlUyRqKLl2AijoCWNs+499lM6sj7s8TsW5HodKQ0I7ov1i0EEKETDP75W/TFu73kMgIyhyApqBewQWnFRnsCEa7yoZq1XItxCNcTfYj5MFYz8UsWNbv0yNYxkzBLUD7i9OmKUWRkdPXrPI029L3SGk2RTCcRTD0u99Txs8gSHmeXM9WS2W/7GzSTk6UDcwGFBGryQ7tf7haD+Zrjns0FvvMY2Sv/t7fpL+ffhTq9F3BYALXr2LKPXI8fYpA6/nZmEUlKrKc6K0EXXoq//2urFzUZ2MOExRU3Y3yeYqeyPTo0aPHHnH8RffjC//B38cTv/+H+J9/82+3LvMn//bfwB2bBsi9aGK6TT+f9flEZF79JuBTH4Z95BNQZ26jZcKAV0ekmbEG2N0CTIHJI89g8kd/1LrfY3/xL1L3cQB2uAb4hEaCRQCYblEl1XCNeoew1a2CIrcugMtxOHjTMTC5gk748WJX0KVU+5tds72dBmPKHUtb5gcAoIHhqO5KBUWBarXdCC7aU4DlsiMd0f++5obL6ux0AvP0w8B4HdHJ2zv23YKwDKzKAIE7r3cIw7sIkPSPEWeztnKgtu2JQ1iZubEEPVSQjtkWWkIFQ45lXSWAe3G0KgsgVh455tIoxb/rYLuS4WkI9z3HspBod2U5CjauYLfB+rEEf4fr3/1iYDSuSAwA2Lf9JOx3/J9kFS4IXb90TCRaRwCCcSn/PvQQp0TyFs2GaDaFiNLmearMJLqu4Yxs0KxMbI8eNwn9XdmjR48ee8T4+DEkK2O8/yd+qnOZ3/h//jnued2P48yoRfdw7QLwDX+JGuvdcSdw8gWwNoNKR3WL5MEKsLLBRCSC3TgOYxSKZ97Vus8jf+WvIl4doQqKPEJjowTq2vnmSpNrrrfM+ommMDkZeS5TSTdx8DMqSpH2JQzOlOoIegOzgWq2cR/lLFp3lNJ4xxd19XdpahosNOzFs7Dvfjuwuw286FXAokQmYtJiFRBxaZVhYuNnKtomWU2HDqbSG3FpkLh4FV4PG1O2i81N6QT5StG4Nk7xe8aVJYbrdekkymxvYvDa5WnJ2mif3ACAdnorGLofW+yk3fa7smCs9UpH9aasAJDvwOoUSrJzuXcf3PtSYOMo8PHAQbCYwnzkjxC9/LX0d5S0EC7OkJgSFWmr9C3B+KKEXfK8bYij2yz4OpuwBLL2uqlf27iF+AjEPa9Hj0OGnsj06NGjxz5Q7E5w5sEHqr+jwQDl1CtbMgb/4au+BX/t3e/A6lABl88B1y7Se9uXXfnYeB04+xDUXS+hAGbqNd5b3YTyAwxT4vJbfgyX/s2/aYxHHz+BjW/6ZkCVzRKRyTVgOoGNE6jhSn0fPnauwo7XoPzZYg62VJzADsaOZBQZETEYYLAC5ZdsaQ2Au4bXRPURjU8gcabiIByGNDRCImLp+q4DMf0CBKeriaaPWhZJkyjbWtKaVC7QirQd2Q7sB3+XSAwAPPJR2Jd/FmUq/MNRNCuuIsU6mdK5dDXczIKZeDFAMGxJXSuNCqL1kOAYw1kZXQ9ipfTOJ2yySbm2889UywnzMN0FVjYXcz+roLsNBAR+BrFjE1X5nNxnQl7EmELK1FrXb7lHjIE9+zDMJz4AjFeBjzBp0Rq48z7gvb/Vvq3f/SXY+z8TKm3RCzVKx5i0CYFQEQDOEoHLJMMJgzKbXR4WJUxiGV3ERV6PWGul1eyytjjp9TGHEf01WVQB2KNHjx492jA6egTxkDrYDzY28A1v/UmsnjlTW2b9zjuwYq4CT32SZpLvfAlw+4uptEdw7DZg6xLM5WfrpTFHTtdJDIDs6XOtJAYAzvzQDyFGRnHQeLP2ntUJ8NRDwGMfhn3oPbBQZH0copg6chGzJkJzuZUFlLJQtoTSMVQUU/C6coSyNv4xSbMLww0fK4tfLv+RH3ndGidg94N9C/eeZUvemHuhDFbIuSwduW7tPhZ50PsT9jHbHJuCSoAsaymUBbIdipNP3eGWzyZAXsAWOcyViygffwjmD34Z5r//a9hLZ93xzXJkaxtiFHNwzm5yZT6jxK5tppyDZK3pmlg43UnYRX4v0DGV543W6P+VI0TGlw2soo5yqqVg3D0k9sPyt2GXO82if7l35CdK2M2ueQ7VsVOkZ/ndXwYunaMXX/eFwHvfOXs07/wlKsFs9HbpINXiqmYMk+fCfU6WBmep2vYhdta+Zko+Z4onC6TJau38JIsZQfTocRPQZ2R69OjRY594yVd/Be5842fjs//69+CP/tWbsfXMM3jNX/ouvOtH/i0A4Au+/69CXeZAaPca/QDAkdOke5nuumD6qU8Cm1zeMxijUayvYujREIMHX43pe+qlLetf92cxvI8sj5UpgWwbdrwOlAVstgNcPgv45UKPfghWx7B3vxwqz6Aif25LZrQ9UhG6FvGvSurqI3YiSzaYAMTN7IO33p5eL7lpIMBkxrpZ+Chmm+iY7ZFV+0yyf0qlm33ZVgIXUZCb7dRfHq/XNmF+6d+2DtteuQBsHuve98zXWoTsnRIU5a6NViyaZ7vpIgOQO7G6ZCWkzG0viGJyuat271t3L6mTUWp2tmQRzN2lcVqiLgxGkAaidrIDm+1CxQnU6z4fOHIS9h3/lc7lgI0JZuFTH4B97RdArW/WXy+ybtcyMR2oNQEt25dvs+AG0GiC2QZ532+SqiP3eRHiHB6ib3bQo8chQk9kevTo0WMfsNbi9/7xD+GBb/tmmDzHp97+6/iS//cf4erjT1TL3P3qlwHXnmqufOkZ+gkCbXPtWeg4BVaP1LMx1gLKIBknuONf/hC2//BdeOZv/K8U/KQpjn7v99bLwQCobBcWGkhXgaufaI7BFMAzj8P+0a/BvupPACfOQGU57IVLUIMB1OYxYDSCqrIlXsBZyzJwiZBSnmBYebPQM0Ti1fHNfnsxsPBfNA96df6GDVvxSolWPKDXtq8C47Xm8m2vteHJh2DvflGdn7HbWS1SlDKoiN2zALSyOmtdeZ3YOBvp6i7H6AWzvjbEBOegLFyzxihq6iVmYsb5bGuCOXNTlg0QIleuKNmjRaD0YsvOMyLwTBbspaeBaxfoKKMUVhngy76ZSrZ+/20LDcu+7T/C/rnvJWtzwNP48DUMDRikAWiIgq2+YevNPW3Lskq1a1/aUBGaGFWzVUp9dqzQlzAdOrRZuT8P0ROZHj169NgHrj31DNZuP4NXfus3AgC+47d+FbDAr/z1/x0AcPtrX4VR2aFFEYRB1uMfA17zxY2SMiSDygRAmRyrr30l7vm1X8P5f/pPsf7lX4E4BhGWbCcgDRZ4/KPAxkkKFs894t4ZrAKf+gDpZf7gl2HvexD2539c1iKcugP6q78N6gUvBSLFhlJJIJgPuqHTINv7iFhPvC1NxWmBetmLiLn3E0QpPduJqYIBSkVZjO3LMwNBNV5djHOdf5yIQrj/KAKMcoG74eA28zRNbaJu6aPiz6o3sjY+QfL222kWULpmmVLKVnpGAXvCEtdLxugL0oE6YbP8fpv7mo6a5gCtWOx4rI6chg0AVtaBX/u5JUge4+pFmMceQnTvS1A14QwdzHzMOo5Kz5K4ZYynrane800BvIzLLJQFFrpefcDc45CiJzI9evTosQ+sDoFX/bmvpu7fANZuO4MLn/gkTj/wmXjmfR/Aa//8N0D5DmSLIB5wTbovzNat5TdxqnD67/5tkJNTTiQmSoFEA9MdWGthd65RhiLbpYDk9hcBl84SKTIAnnoYAGDP3Af80W82x3P2CZgf/X/o91e/EdGf/W5y+tKxa4y4kBaFZ71rdrsLQIFLp8DEQAI+7V4H3IRyLSBW8zM91rLoOW/OZrcFz+kIWDtaD3i7UOZAknIZF1s5lwURv9CWt7Fe0iSk2hPHt9oqe0YBxtTLtnQCaCNuBM3SpCro1bNn9rv6A/nbacs6hJiVuWnrOeOTX2vQaqncBWP5HPM1UIq2VQRNOU2YlYiWJzGC//mTsH/h70JVDUp1kHXzfp2XrWxDUXRbS7eVkLVhXoNOwV7LEHtcX/QEsycyPXr06LEfqHQI875fh37dVwBxAh3HuPtzPwff8Zu/gqff9wFsbiTAsw81V1zZhDp5F+zDH2hu88wLyGrZDzLihMTno3XqI+PNMKtkUNdxlBnJSIarsJMJcP4x9561wLnHgJVN2PUTwK/8J35DA/EIeNpbtg3v/h3YL/ozUOw6ZlePkJhcKahFgleAgqIq88KB5UxnKuuCSe0F4JUWBkRExKXNF7Mrr7yt0RQR4EYlzsEtzIQUTZG9UgDO3NMkMkdOAZsnaYE7XwS9eRyu0/pg9ux4IyCxRNoU6pkJf7mau5m/LQ0nFPeW9wPWmTa+pj7TH2ZpxOa5M/i27dbDIZaNwcLz13VOW4mr4iaoobVzxEJ3HowxQDx099W8Y5gFY2De81vQr3kTHeoihGEZSJ+jroaxQL2ELLQTj9IFx9QHyz0OL3oi06NHjx77wXCFyEE+gUpSrJ46ie3z5zG5chVH7rkbY7sFe6EZ4KuTd3UKnNXRM6w34VnQeOCC9DIDRiv0frYDm44o2NJRQx9jiwyABc68EHj60/CDODvdBR75uOtS/qLXAL/w4wsdst26BrXGbmdbl4DhWpWRqgJkZVFrbuhrNFqF11JqpZuGArXAdIGirlDM32Y4oCMWR0/r2RDL45ZzlU/IjSsMaI+eAV78GmC0CjUYwRoL/PZ/Bz7+Pnp//QTUxpFgu+j+uxWqmZnwS++AgLS41Wq/a+1IEcCEaN7+tWcDDBble1maruaNgoWObz+z/Jqzei1jWKYxZ1DSpgDYU/cAT36MXtiZUxY6D+/5DeBlrwXGK/vbTgjNpZxRwmR2niZGTB4iANw4tE1n0wYVfCZ79DhE6HOFPXr06LEfxAm5i2VuZnPlxAkce+F9WD19CvrMfVTK5UNpqGO3w55/vLm99WPA6hGKqKY7ZGkcBillDtgSdrxBs8xbF4HpLmycwvpBnNZQxS71MrnrpcDGCW8jGniIskF24wTwiQ/V+0/MwpUgEzFc9f5g4lDkThsgZWS+WYD0jBF71yim4Firut7dwjV5DMtbanqQmo/YjMFrOqfWy+yU3JwQoOAwHQbrNIM4fewU9NFj0KMBlDaUQbt2yS3wzMP1FcoCtUeuv88utGW3Qr1NODTNgarY5yrtiKNvdz2rlCnmHihlztm9rE58omR+YCtWz7Mguh2xRI7YUnsRdNo2d2SKNDqWb4GX3bT+Nd0jzK+/FfYgSrP8+0G2V+ZEtkNb5S6UZbtD2izonsQcTvDkz838OQToMzI9evTosQ8opYDRKmy+21qAYa2lJpJn7oOKB/TlHyewu1vOhhkAjt8BdeQM1PoxcjqS4L/Iux2KysKVROUTzh4cgdWKAr1tp81RJoNdI5Jkr14Efu9/uG2duBv43R9b+Jjt+aeBO7xeKlHixlgLcG3771qBmmKGG5YfW3ORgvWbQ7IhQFXGlrLeQQHgALxLOxENAJTUpb2W9bEsxGYyOi8A15q35WE0Ri2T87F3w37WF3lZMnHzMm6fOnZ/F4ULDJTsv+WOCkXeljMlWlGQaor68Xd1YzclB7Nt5LWlzK9qtAl3/uPUXYe2EqxZwXtt3/6+lMviyTjbAu6u2DqKWrJ9wOLzttp9buIUePKDC67XgeEYuHgO9uzjUCdv3/t2/POlW2zNa5qYFv2TD//+WQS9PqbHIUZPZHr06NFjv0iHtYxMDTtXYc89Bv2qL4DSEex0h/q6FBnUCx+Evfg0cOU89AsegJLeHD7ByXeB0aorLWNYnVJZVGN/l4B0TI0KA5tfhZLoxPmnga2rtJ0XvBJ4+88td7wfex/w6s92M+rKOJ5SZUa0V04W/J4v6Iql2eWs9PQepVjQajp+Y5jUeSVCg9X6dmSmP9QHlC0z3ECd5Gi2p01GbBzAdsEmrweXtgDO3A08zZmYbMLkZMZstoqAyNtfPqX1fHIx3kT9XGkuDWM3NKWIgJkOfVKXjiY8zmXAGcEawZCGqTV77hlifK06bgHbJCJR7EwbROTfWT1m2wXuCx6r1VHlDIjxmrue9cEDaxvA6XuAoyeB8SrUcIVIS0oNZFUc1w0PlIIt+VpI5lGGtoiZgNbufPm/h6gITQQgahKaKFrOaKPH4UZf8tcTmR49evTYL1Q6cn1LAtgLT0GduBNKZsbLAkiGUMkAav047Ol7gasXicRkE2Cy3QzkprvkYOVpapRWsCai5plXn60HjekIuHaBAnqtXNYGAMbrUPd/Juz5p4hEnTtL/VKWwaOfpH1MrgHjI1AS0GrPGljDBbr+7+JABjNf5C+dziVq1codp9ZALtuPKcsimG5Rg8PSUOCW1UlgK/x4QGvqVA8waTENa2llATtaB7Yv8t8G9vSd9cB39xrZ9wIcvGoSlkvWqZh4x5YAk62Wc1C4jFOcconYhDJCUeyySNZ0Z1jadDThMdf2uYDGJHREk/MT9sKJWoLpZVHTkikylzCmvUmjDF1IIgBYCwtV05FZLeVxdRGWBYBT99J9Fg+gvvibidAMRlBx4rJmUjbZPmBnae0jXHwwpmPwtWE1Bz5ubArrJgi0XiybUpZA3JKNsw3RmSPx/luLmHb06HEI0BOZHj169Ngv0mFrLb01Bvb849AveX31mhqvU9fwlLIvSmlg/Sj1LsmmaJ1qNiWQrAGYMBHiddldyq4dp+Bm+xK5mu1wRme6BUBTMD3dAaIYajoBbAn1xi+DeeQh2H/3D5c/XmNgy5JirmToxqwjj7B42aDw91pgO0PkD4DsbzkobH0/eB2g7aUjIM8XIzFA/bRLiZbvZNVGEsJAenWT9n3n/cDx22GtonJCy81yOsjuTEy2gLUTlPHxs3LlFFCB81jb7KyeIdTu4itmhq3vvP2FBhZxStkvZV1wDjZUCC2nZVCt+9VAHNN7+SLXNOxppIHJNmw8pHMyudZasqbkuKKYsk5HRVdmnRvgQSEZcKPZWY594vDnZZqijnLBENKcNERlEMCGIhUZ9ncbO0OHvrSsxyFGT2R69OjRY59Q43XYi0/DGkPlQcUUyDPY7Ss06zper68QB/oKpYHBCpUitc2oD1fZOjYG0tS5NSUjwJRQZUYGV5unOTPhB0WGSFI6ooaaOZeUbW3B/uJP7P2gd3foCRJ5jkk2tMtq+b3NZthI48sWaFBQZbmcbN72R2usF8lnlC+hxUVMxPecfYkG9SxMmzNUlBBxTIeAjqE2TkPd/wCglXNxqzJUM4LBeEjjCS2N0zH1oCk6CJANzqVSjlxVM/qF07Y01p+ReenK4giiFN0pHQ8FE8LQpGAWSRKdh0TWUjq4HytkMVcopvMJ2o2C1gs08zR0KvZbDlYjNFE3GRSHO8DbrwVs2pcxHTYo9NcEPZHp0aNHj/1j4wTU9mXYZ5+A/fgfEnlZ3YQarELf8WIX1AKAtS78K3JX/x8nwNoRKkfyswjVjD4AlFwyklJ5UZkB0BTwZmQ2YK0Fxhuuzr/aTgrsMImxFuZ9vw+cfXLPh2y3r0EdP1EPvMNgtXVF0LFykqLxHg0QRCg4iKvKlwqeKeYVfbe0wZiIGhD0QDFAW+rBll65l7ymnO5okQAhSQG9CRWngCloM365lQ9jWJfjBeNybeW18QbZWUcp6S3KfLatbjklEiTrLxvom6Ku4/DRKabn7ECZLeaSBT5uRHysCwTkiyzTBV9PA7h7CYAardHLtWsOujbW0OfR78d0PTHegOqwX69DL+4m2IXafacB1fE5jVMuiQvOf1mg/QPbo8fNR09kevTo0WOfUEpB3f4i2OkE6rVfBgzGdfLiQ4I5oymY3tmmgDxiUfl4gwKrgknKYNCcjS0zKumS7EsxBZIxBdMmJ/nJyhGadc12ufGd24Y9dxb4lf+yv4O++Cxw130ALMWKUdDHpvXw2bLTsgNZxS+sCybD5f2yFtuxTBTT+ZBgTRoa+k1Fq14qPDAhh37QrGOvj+T8oE2VpRPdW4vKSa6rWaRsMuLZ7TBgtxZYOUqZIL+0bRYW7QXSBR21ZwVC7qcjLgv0xryojsInMIu4au0Fccq6lY7eTP7/XdcmSWAHR1Bl/qTHTJ4dfDPLOFmMsMXx/jJRQP06tW5Pz99Pz2MOJ/qMTE9kevTo0eOgoAZh/5E6rDVQWpO2ocx5NtxSH5jxBmUUiqkLKIYjYHeLys7KvP7QKjIKPmxJM7a2oOB9uAZkO1D5LvWuWNmk5dkJzeYF7K+8dd/Has8/Q0HetWfphXgAu3qEy5lIU6Ik8yLdx43pDghbLWF97YCIocVqmf8vco/AyPmbeL9zw0vDM80imAcomOwsPTPtf2tNwnwZQ5E7LULVI8frcSIZJErXANq0Z1milLNEvsPbAigNOWXlSwTaftaiKytQ5o6QVdempTxsES2Nvy0590ozOfKWs4rOs5wvuXfKGRoSzobtO9hnqFCvojUwGMKOOPtnDN1vk300ylzZpL5Dc8GEKszkLYooceWFgrZ7z7ceb4XqSUyPQ4u5Ci6l1FuUUueUUh/yXntAKfUHSqn3KaXepZR6Hb+ulFI/rJR6SCn1AaXUg946366U+iT/fLv3+quVUh/kdX5Y8TSmUuqoUurtvPzblVJHDvbQe/To0ePGwOYZzKMfgv3YH8Jeu+jV/HPzRauopGj3mhPqD1ecOHy6zTqRIJooC8rspCNX857vUnA3WCEhMVCzc7YffT/w6Y/s/WA2j0L/vR9B9Hl/ql6+VkyBy88AV84C184zieDmi6VofwK7Yx2jaooJ5Zo4JqnX4C/iXijW6XFKrtsvpkTm/DFItqOY0nkAeN9LkAPAuYDFA8r26IhL11R9DJWJQaADitiNSpYtcsq0hAQp4uMvM5dRaHPjakM8ACJNpgbL9LeuCKAcQwd0wna9M4LoRYXgobDfBk06hZD650vuHVlfGmfKj+YswqKNHfcBZQr6gYGKYmDtGLB6lEoal4H2nM/mQbIkZUbXIUrnr+MjJDFR2n6ujHf/tO0jamlG26PHIcEid+aPAfiS4LV/BOD/stY+AODv8t8A8KUA7uef7wbwIwCREgA/AOD1AF4H4Ac8YvIjAL7LW0/29f0A3mGtvR/AO/jvHj169HhOwJoSVmaqTUkWytkO7MPvg7nwBGyZkzkAlAtuJ9uAKWGTAWw4w57tgDIbwde2RrOGvsyBYgo7XKuP6dIl2J//sX0dl/rSb4IqdskFzctS2HhA+xtvUnmUimChYK2lzJCx3FW8pGDOcmaiClynLqCVUqQyByD9YcTtSgbC/xeeVkNHLvBVis5LrbllQATDGN6UZKCQjJxrk4zPD6rnQsoHw6aSpSNXigPTUkgR3HvzHs3RgNeVfZg6oVtgeHMRp3RNyjnZFoWKOHc23wRmGwt0blsTWQsJofws0n/lOkGZAsqWrG07DqxsLLbiynq9BLMTgTamLInQ6AUJTZQ2z09XKaCOUTWabdM+mWJv16/HdQY7Pt7Mn0OAuaOw1v42gIvhywDEhmcDwFP8+1cD+HFL+AMAm0qpMwC+GMDbrbUXrbWXALwdwJfwe+vW2j+w1loAPw7ga7xt/Uf+/T96r/fo0aPHoYY1JeyjH4J9+P2w012owQjq3lcCG6coIHji47APvRv2yU/ATrbhR5YWGvbCk7BFARs+KNgNzXV+5/e7Asgio6zJcBW2sDC/+Uv7Fg5bz0LYpquwRQm7dQ149kkqJcsnRLp2LpMd9M4VNjDYpszStH687TtZ4PXQLllKnPzeGYrJj5yfZFCfWRbjhOpRaCkwF4IV7bGeZtbhlSWXkXkif629zAfro0JnO4BIWTxwmQsfRba4Le9MbQvb/S7V+Z33OyvYLfMOu+W27Wkik8NVumaDMZVMpmPOQi2YsboBUACUyYkirx+fPbbxxmLNLwEmph0NTudmaHSTdLcRG8AZTvhlf6FDYJjZ6dHjEGGvdOp7AfxjpdTjAP4JgP8Pv347gMe95Z7g12a9/kTL6wBwylr7NP/+DIBTexxrjx49etwQWFOS4F9HUGfuA8oS9tPvhd2+DJWkUHe9DDh5jyxMzlS+CN8q2Ok2sH0FeOZTsNeuwDZmR0siBRGX/Uhgk9T1OVbHVK6WT4Gr52GffZqaau4Xzz4Dm4ypH0e2C1w+S2RlVuBbltSAUFDjB6yVkNKhKOkuY5H1RLgfJRzMeTqaIq+TACN9MJRzpqq2bwIC4FnPApCmiJ1Qyr0vmSHJJrWtF3M/lTKwyDZB4KhUQAo0u5OVTa1UbTyL9hcp20mF0lSqtoxrWOE1bJwn/p87g6vpPh6u0jXJJ0yCd9w5i2IqpRytE8E5RCVPqszJ/nv1CI3Rx2h1caIJLKA7KrvvgwYJ0t2mEJIp9dm3KZsZvv3aP/e4PvB1gzfj5xBgr98AfwnA91lr7wTwfQD+/cENqQnO1nRO9Silvpu1Ou86f/789RxKjx49erTCFjnsYx+F/dR7qDmmjqFe8EpgvAH7qffCXniqGaCO11HLxtgSuPiUe//yM7DnHoPtCqY54KSWIRaWS5OsVdRc05tF1UePQH/hV0N9+/cBJ2/b+4F+9L3A+SeAJz7etFvu/JY29ayR0s6lDWB3KD/Q8meD65sBWDQurmRl5oTjEij6+hjZX5y4MqwwgyV6HV/zAtSd1HTstBnSULDSLzBJ88vcxGQAcARtlp4jzGaYgshLPETVRLQzcGVN0SL6mqo0qaW7u1ZLlM9VA13cYU1KKbswXHHC88kWk2NLY8qnZEs+3XbkJs8Wd067QVC2JG1aklLJ2WgTWDtOkxvL9K/xyxC7IPd5gyAG11Y+a22ZWw20Zn6KoMSszA9P/50ePTzslch8O4Cf49/fCtK9AMCTAO70lruDX5v1+h0trwPAWS49A/9/rmsw1toftda+xlr7mhMnTnQt1qNHjx7XDfbCEyR0z3dhP/0e2IfeDexuQR05BVgD+8RHYR9+P3D+UbfSEx+DzXaJiCgNnH24ueHJFuyVZ6kbigS76TiwDY6AaxeAnWtEZrQGdq80NqU0oF/2Kujv/j+AL/wzezvQc09RwElbDE6CpaxAMqQxDsaknRis1IMtY9gAoEQVREWJ06KYrtnfjsaZSnPspl25TZHR71HMHdlzp5cp83pZjuh1YJtkzErZWuGJ0oOgLhT6C4Q0VHqfDkTsguYHruKCFmZvwvVE8F6ykUAXUZKSLMng1YJSzW5uewxUy3KxzIgtG5nDClFM90g2XcCBzXoGEocTVcmZtlB6HyWKYnAQ+SWQHoQcx6kjKn5mThzPitwjR1KSOsdyOcwUHpAzXI8eB4m9EpmnAHwe//75AD7Jv/8CgG9j97LPAnCFy8N+FcAXKaWOsMj/iwD8Kr93VSn1WexW9m0Aft7blribfbv3eo8ePXocKlhjoE7cBZy8172YT0gj88RH3WvXLjRXPvswbDGFPf9E8z2AymyKKfD0p2DzKayOYYusIjW2LGHPPUYagjIHrl1mftHy9c5BkV7fQPSFXwX9l38AOHV7c7m5B8z/B7PwVmrpJ9eISO1cIa3MzuX5YmH/fX+W3TZSMk1oabY4paBNMlhVIz+Gn6kpmejowJGp0YHe7KGEQjnL4lm2uVoIhJCjwmVvhJi0IYpcH5IwmA9n8rV2DmriDlcfBJURdXV6XwiBFqkNKoLnqdyEjl1Z3q0GyW4sI45Wmk5X5eAmFuMpO7aF+jkmp8nQXUvdopUpMo80z7mvbVBi1ov+DxcU+tIyLNBHRin10wDeBOC4UuoJkPvYdwH4IaVUDGACcigDgLcB+DIADwHYAfAdAGCtvaiU+v8C+GNe7u9ba8VA4C+DnNFGAH6ZfwDgHwL4GaXUdwJ4FMDX7/koe/To0eM6wWYTIM9gLzwD3PYCqOEK7JMfowDCGm5aOQOjDWqKme8239MxMF4jHQoAXHiSDACMAU7cRSL+i08Bu9dgd7eA0y+Amu6QxmbtKJXn+AHqxomqf4XSGuqeFwJf+50w/+bvL3fQUi8fp8CZ+1AFRHEMTBeYJW8LhqqyI34vYj2JVa5cyiggsm4bCnSei2m9J0y1fQNYDSBC1QNFgkopSxN3Ln8cURwEgIs9sK008IwSqHmz1zE3KTXectW+u9bVXuPCGdmToqBlYcghDqB9JSmVj1V9ahRpYg4is2EMu4sF40oGNJaCy8Csbe+LUvWjuUUD5ZItjhftCaNjZ0ZhOYMpmi5/GQkmFf9T6Z84O4qWfdmStE1R3HKvB/D7CEmp5aJarB49bgDmEhlr7Td2vPXqlmUtgO/p2M5bALyl5fV3AXhFy+sXAHzBvPH16NGjx82EfeIh2Kcfhn7FZ8N+8j2wZ15AZVW7V1uW5uCy+jMGNk4AFzqyMcdvA54N3pPSofOPkaC/CkIN8MxDsMfugFIx7T8dURCye5X6XrTMdqtTt6OzE33XMU8nFDflE9erBqBAeVFUzTLBxMO6MVizWLDX5RCllYvzDfefqZVNecSkyOYTlwaPIZcxaxWVwRUZbX96la5HOoIdrEJ1dtsEZ35agvayaL8eMVs1L1Te4wWfkonJdulAqu2yU5rcE7V7aQ8wEuAG95gFE1I+/5YD7ZCH6eh5ICg3LhMoxKQL1jjCAXBZoKlnDOddryjizI0GEZuYspaCspjvAKdU/Z4Th8AehwDq0Fgg30z0Z6BHjx499gi7uwN110ugTt8D83u/BHXiDtjf/jlY3RLQjzdgSwWsOx2fuuczoIZjYGWzufzxO5okJkRbIHPhCdjJFulSsl0KVjZOAnHSnlcYDYEXPzB7PyG2ucFmFmgZOsmQrpchiHuYX1I1S0isRcyfeD+cXZC/pVlonJLGImarZT9YB5weJRx3zYzAe09xIOgL/QHYIgPKCXDtWWDrIpXSyfXIdueXXbRpSlREpMo/j74OZhlhu+/GpjirlUl2rsWdbL9lIrZsD6qM564VD5gwBdc64szCIda8HCjKzN27bRB9VG2dnO7LpaynJStjWBs1bTqnLXvZD5m5Qo8eS3TQ6tGjR48eNQxHwOXzUKfvglpZg/mNtwJblylI9KFj2MuXgd/8b7Anb4d609cA60ehRNS+eQJ2MHaOZRsngGth+64lsHURdrpNup3da8D2ZWD1CKy1UEHAqrSGetmDsB99z8Kbt1cuQ508Cmxdhj11N1S2I+8Aq8dc4CpBq5RMAUQYlKIAqzYWxUGVJ7hXmjIexvAsvhd4xwl3tPf+ljEAVC4WDeoz0PGAy8hUPQsj5TJSqmMjejpa60rX/OO3nNnYudx9krYuwa4d6XaqKnJX4gZwBqVwmagoAvUD2UeWwvIxWMv21jlQ2nbtxH7L3U0BoMVdzxR8Pgd0L0RRMxiu+tA8j4JkUwIoXeZMECVA2XEeauvMyegA3r2VOHKsvDJLwJWY0ZvudanybCQNb9HSvx7PWfREpkePHj2WREUIzj0OnLgDuHwe5plHgck2LXDlErB5GrjyDP09PgL8ypvp93NPwj75CPTmSUhAoWCB4Rj29AuAK+co6NiX+BpAPoV96pNQt70Q2N2injKjdVitoaKUS1SoNEG/6DNmKS6auHIJeOB1UMM1yuvHLJiPh1DZBFWwM1hxJMAmwMoRJg0dugyl68Gsn51YNGNQa5Q5dWShIjG8kJRCSamOTzi0qZWiWctjg6Xl8gmXas2Agqf76Bor60WsVzKm2Eba2BnubQvClPRjLYvH2RmsbHEF2298KuWB/jkVKM2OZQNgukPL1UrZPM3O8w1S2ihks5jn2Mbr6AhQyfJEtyiCz5npJk5As99QyYL/QyL0ft6jvw49kenRo0ePRWGl6d/FszC7W1DHzsA++RDUxgngyU/TLPu9Lwf++B2wly9Cfdk3AxtHYd/6I24jd94P/YrXQwUN6pQCoBXs+nHg/GMHN+Y8d+Hh7lVgZcOr089oUnfj6GIbS4dQ3/p90C99AKqcAoYbXRZM4MocNh52dC/3rIEtaP/FtP4gDonMMoFtVyBecgAdWvpayRIlLgiHhbOmJRJilaKs1iIBJq1I51hHJPifJaY2BXdc52OOB+xS5TmqHUS5lZghCElq41a+AYNkphSYUC04BsuC/zYbZ2uZ/PF+/Ou+LFm91VCyOYNegk1KdiZKUNlRL7Yif/b2YKWsmWD3gv8ehwg9kenRo0ePRWEtcOUC7O4W7Dv+C2w6hHrDl8P84duAc0w+Hv4w8KrPBd7/u7Bv+4m6cDsdQH/JNzVITLV54EBJDIDmjG1pYCMF5Yvpkxg4dgq4cLZ9G3EK9S1/DfrlD3KsWbqeJAgC0qhtph31QNkYwEzZNnnBciKlW4hOCxqOaMY5RoWlOBL81bI1Xl8blBSUL0piRutAPGCR/4JZBltyVqZ09tDSFyYdAtkBEBk5Ps32vG3kSkiVDfqz+G5w82BEkxHcc4YF4jVNTrDvtvLB5xXYkSwsNZuHyg1tieyMKdnNzga3Z4vJha/XUhpQz6Pyvx7PCfRi/x49evSYA1twYHftIrCyzmUgGpjuwP7GW4EnHqqv8MHfBR54IwUlXiCg/tz3QsXtM5k2HgBnHz34wU92UPuqn1xruA4pY4A3fHHnJvTf/KeIXvFgIGnhbUbBfFhN1O+Tl5ZZ+lDwHs7I+38WLUJlH7KvNqITivkrUDlcK1GpdD5LzDwr1SyrKvPuDu0Rl+T5DSp9EriIq9RMcIArx2c8++MobZ7/MlvKva4BW5KIPYQxzX01+GbQs+T5CsniLeUMZtx9VjPEYHtlG5x7MWAwBd1j1U9e/wld5KRE8PlYAnhY0feR6YlMjx49esxFkcNeOgesbsJeeJr6s8zSPsQxMJ3UZ1a/9Fugk5hmt+NAFB0PAFio0y9o1qTvFztXgTTYX23mVgPJAPoFL+3chPmdX25WbumIZveLYGa/k8i0NJbcz4PQH5COWKMTBHLxgGaepRlho1GkdnqDEEVOZXM7bTbaHdi50v56UdRLcXTE2Q/VnEWXvh0AvbfX+0Hc2cLtZxOKQwej5n3YhmW0M12E0RQtRCYgTLZ0WbfnO0rOUEVL2JkDLpNXlgFBacsoLnhhVeQc+8qcCfDhCGB79AB6ItOjR48e81HmwHAFuHYJ6shp0sQMxt3Lv+wNwO++zf39qs+DvuMF9HsxpWAy5fV1RHoKa6GiCOr0fcBo7QAH31LPvrNFGaBkQAF9kUEdOd69id9+G7C1BQAU3CtNeptslxo6dmUcysILehaoq1feL9o1l6x+fBtkqLqdb5m57uYyo2xZMF/mbPmc0TpRzCSCnZ8UED4OrYqAa+cW62dTX5O0VDUwiROyZSxnP/L2YNUnPuWM89uFOOVjbhXDcKDMDmJt1yROgWSEyjVtUXIh+2sNdE09eyflZv7fQN+jpIL1rv2yxKErA+mhzBfL9pXcI0lF9B04GPVE5rBAoc/IoCcyPXr06DETtshhH/4w7NOfhvn9/wHz+78Ia0pg82T7Cg9+IfA7/8P9fepO6Nd/Ud2G1xoSkKdjKm3yZs2VBtTR26n3y/WAjoDVTQCWe5PQuOzOtZnN1czjn6YSu4tPwuYuuFfWtgTaGlbHsFEEm4woc5OMKJCNUw6UB/QgFJKSDCjA1zEgjRvzqTs3ZU4ksOCSlzKj/8PMWGjpHP5aTAHoepBflvWytXhAWYR42H0e27B2HIBqWFwDcBmpIkNNdNJaquMFooYzFYsEszqm45insRDCpzQFp3JtdES6nJSDVdnlMlkS2xFElwXd7/62/N9LcVfriUwNRUaZw2UJ3kLLz7mndET3xnCVP699yNjj8KEvSO3Ro0ePGVBxApy+B+Ztb6kE0vaRj7Yv/MJXQp2+A/jT3wX7X/8NYAz0V/x5qHxCwcBkK9h4BBRNm2WlLLB2FDafdpcrLQELA6U1idGNhSqmXsBJ2QN98jTM674A+IO311f+vK+EfuMXQpkpcIn73EjQK8GuVURWmKDZggXjpgCO3eXKiHKPPCRpvQZftTQBrA6gqwzGzLY4Nnm7eLrMmuLo0suOFFOSu0jWreqT0wEdAytHoCJNfVraEMXt2R3T0kukGmPstAvJYLYl97IicWOAmAPZJAWQ1t/rchhbZLsqAhCaCbAuQ0fO7leyVJbNEXpb33aIC9wy13gRE40yR2WXLXotFZHOSfo89dejxyFHT2R69OjRYw7s+Sfm25seOQn9klcD021AAeqbvw+2NOxgBSIxg1Xuo2FodnrnMjDeaBebJwOvyeN+D8ACwzWoMHBPBvVs0EtfCStE5rM+H/pPfiUUSqDweqZsngJg68F9PAC2L+1vjFJGVsVNejG3sFkGARIgw/3XviDvH6Z2nVUUww5XmUx0BJDJABiu03U2aCdWMQvrTUuPFcDZLTf2wWM07GzmO+BV0ItlYUJ0zdhbsVv2Ttgysazt2LYp6XqkQyCDu+/SkSv7s4a1GFk3OX0+o7pPFmiGudA1s3S+9bBp2tHjOQA1M4v+fEF/5/bo0aMbpWfFqgMnnVt1ps5y00Pvwa7ueCH1E+nKDGgN9YavBKZexmW4AlXkqAUc0y2qMYemsilrge3LpImx1gW5yZBIx/pJ2HQMPLtPS+Z8ShmZtmP1D+P0XShf/UboL/gamlQ3jkjYZAVqPKZgM1umWWfHOWvISEw9Q6IjvgaKfnxSV5Rw5zW8D6V+O+L3Wo47SurEVEc0Hv81tixWAOx4Hdi+2CQRg1VgMICS2W+LpmtXPKSsWzImXVW20x6k+xmY6rXcEZxyCkRDwHgEUj6Pe7Es7vr8FjmQB80+Wy+hZh2TZOVA968pWF/T2CH/p5m8DFgnw406lXafu3TEzWX7LvINlAs2w5x36qKEzTH6MLDHcxv9HdyjR48mpLN87UE5Ra2Xh+JAJh7cerNCtgQK45yfhmPgjvuBxz9B77/ui4GzjwCPfhwAoL7gG6Ayn8SsAnEMlQyA3S34ZMZmk0qTUGVIdq+xjkTcqiiYVRrUXDG5H/bsp/c+S727xeYEfnTDBEGgI+D4aURf/LV03SU2LyzMpz8OTHcQPfhZADQwHMMqTfoYADNnhzvLwjy09cCYdazJ0MtsRIDwa2tJZ1MUAHJ2VQuyOjriUh2vX0wZZCCiQW09BQu7ehS4+qxbZrwB6MQ7B2iWj0UpkZjq/xUK0n3tj4/SNrMu0nPIGCAyjuzoiA9hD/eE6tBcWNs+Lmvq2TJrqTysq/EpFDBY4SwMNxpVkdNY1IgmbzSKHbnSLCwPSzF7EMRSOx50Zy07P3eK7kH/fPd47qK/hj2R6dGjhwdreUZ2gtYpPWtc7bXlUpqCA8Y4uTW+VBW7YRU5BZzJACoZQN3/AOzjnwBe+lro2+4FbnsBzIm7KAHg91rUCbCywSSlJBKUZ0CZkZtVOibHL61hh2vA7jUSh8s5H6664ERr6j+XJMCZ+2EvPM4z1UtgvAmMVmHTEWUOooQGa1l8rrkuvsx5Zp2uuy0B8+gngXf+EpBlwB33wb76c6BsSQHm5hlYY1xw29mQb4GMzLIiYnEmA+gpVsvkxG7jtWDOunUlAGwEghqII7QRM2WZzGxdBFaP0muqxZ1MjidOnaalZLe0fJf+jwdN8kQLcoDv3VBix1xkdD+mI87e8fJ7Qedn1baTE+kivygkszJvtj+cAPHJlQjNw+xQD55cWSUdUzIA8gKN66NV8zbWEd0/vTNcj1sIPZHp0aMHBUtFRkGdVUCkaGZ7IVgKNkzh3I5uBcQJYDSQT2ChYD/9IeD4HdAvfS0U6xH0bfcCgyFw+axb7+ip6n0AXGoTc7M/5cT7xtDvo3XYbIdm9tMxBb/xkEqJlIaIplUUAyfvgb18Drh6fv74V46QTXQxJQKzc5leH2+6bEZkefafIh5lATNcg/nwu4Hf/sVaCZl645exYJtfyKduxlxHwMomZwqYSCjQ8UY+sZCtWRer65hE+TruFvuHmHWL1TQyBWVXyqxOaoopB4DBbHYUO61J62y3AjbPQHXpZcrCOZ7lk7o4W4hTmYNSSB2fr7JkUuhFoWLHbEsux4oX0w91obPpJZflLZJFm7f9g4iVYzaA2Evp3K2MjAlxOqb7S1maQPHPU9sl1ElPYnrccuiJTI8etxr8xoPzSIXMbGdTuCefBZBwg7olSEmZAzm7V8HeGlad0uMl24X+rC8BihwqczPECgaY7sBungauXgA2TlAcHUn5EsMYCjzaAsTdq8BgDJuOXYBcTEhLk/Hf1gKRJrex1aOwgxFwvkM3M96E2jwJlFOottls383I/11TJsA+/HHg197aWE2Nx53OxjCWTAymO1QeN1x3ZXOmbCcoljUvQqTiqDmDvBf4p7gsAcg4LCq9TBQ1SYyO6mVhxTQQ4GuoOGrXslTbSNiJjQ+kCNzRhMygnJHBAndp94mU4UC1pAOMEiZIeyQcZdHuEKYUZUHmubTNwyKOWYtAcRmUSenYxQmvB086lXS9lOZsn0ec2766b5E5ph4ebpWJw32gJzI9bi7kYSoBXtiDQEqdoqifSRJYbpSWTejcxCnN9ktMk7O1btWRmTsxG7+mnbUEXUGBBFLLNgMsMi4XiSirAzy3vmitofPr9/Bg4qLk3hxROZgPNd2GPXKKZ49ZP+QHohHNpitTwq4dI4G/rwHRrK2QwDke0PXVEQCuZecyJaVBzk9nXgh79hF3DUdrUEfOAGXeJDAi6q00TqAgKMsoo6RU1ZtFrW22hsd2Zxtq6Fn0ykdW7i2dUpyUZ8BqDGQcpHfN7hvOXoD1FrNicq0BaJflWSZ+tyWRgMpK1rQTCKXRKM8Rm2YpoavImXEZEkE84HEF2y5L52Tm/x9FszMNYelbySWc+YT2PVz17s9lCU3T0MIdRwJgvDiZURF9/yjtTaAc4CSGUq5MzbJjVzbBwbDe5zjKAii3adIjHdPf8h1ieybT4/mBnsj0uDkQAeh0h8kM15TD1glLWdJMU65IrLyMw4oEUM+lQHoWpBwk2yGLX0G+C0SrTScpW1LfDiE1S5OSnALIcHY1HjixvwRZ0nsAAPIc2L1ITRfjweE//z6ZziYUDAzGdOxhMKdAxz5eB3auuk1EaV30bQ05ayVDIpbKBa2qzGBXNoDpLgWhKTk8KWsoE5OuuN4ypoSFBmBrIYhSigLh0/fBXj4LHDsDlbVkYOIBfa6yCWDC60+i/ZrwXcdQR4622/zu7sLkm1BbV2B3t4Hs08ClZ4FzTwBPfBr6L/09t6zfH6Zzdt6yzsoXsyfB+6D7rAyaSGpN5E/xcdTWC+43Y/jYLV3XokPrMes+VZrK3/xj0hEHi7ZOOBolaQZE7MU2l7MqiCj4zHZozFHS/IwWUyIWhZfdAuizptlsw9q96UjKDiIDMJkZ8XeKb8OsnHuh/NzIz7di9zrJeJbZfFv0Wx6UFcZgTOdmssPZuyW/73s896Bwa1Q+7BM9kelxYyHWtiVnEqAo4LYGyAp+UKVu2eoZad1M5qIPTlMC21dcNke6iT8XYS0FUpPt9lncyRbZu7Y9vIqMy72WBc2yu+Z1mjUEXumM5q+Q3a1mdufaRWD1CLtlHVLkGQWSAw7o5dxOt3nGvSUI13EtI2OhYLMdYDBETfstXdwH4wbJVGUOG6dVGZ6Scyez9FEKlDmFkFsXAZPDrh4DrKl1jVdaA6fuoZK04ZjGZbmMLRkQUcpagtzhCpdSBfeS1kA6AF70SuBj7629ZX/+3wNv+BLgj99RX2fjGNS3fG/dHrlG6myDW7gD8Pbrf64ViCRUJ5SJpvQZ2eVePACXHvnHoVuIWJv430MUM5EKSsakVEeyjH7GxpQ0FqvqxKVRkgYW8Fs3ZlOishtOx+57rYyb5LngHjLwHMXKwpG3OOk255iJOcvHaUAQ5VgOwcSE0kAs30fTZpng8w6WvrPSMWVn/IkuH4fg0vXocdDoiUyPGwdr6YEjtd1tpWJRyqVTBWcU/ACBAwodLTYLIV3LpWbYWldm9VyAZK2gWH8wx4q067iiZM+l9ADc7HdRtDfd277cvW42ObwGAKakwN8U7E42rGeg2hoXQlEmhZex1sKaHDj7COz5x4F7XlGPFWLuxh5HgNX1ZoswrpO836unLICyhNUxmQFIkL51ARhvwOqYsj9Kk6NadX8bYLROv0+3ufFmgHRInwHp6N04PAWlFNTpu2EDIgMAmDRJkfqmv05NMwVSBqRTd0yhO5VYeEtmTwW2xTp2WYYorQdmNYs4tJBNA+pSv2DpUZS4rJQ4uNmynlmRbJGve9IRl9S1PEalJC3UuvgERwhrIfeenLeQhBkuN/TK+gr+WwiQjmZrRyR7As3ZnAVLdQ/j59aHYk1enDqXwedz75l8wtbvaft3dY8etyD6nFSPGwNr6YFdeA+aIms+fK2hh1G22ywZkO7Psj3RMwD04BcBq0BqqwHXl+CwP5gtu0gJiTGGsi3zSMxMqGDGetl15by3BIamoH4abUiGpCcpi4MT/x4UrHUkRpBPWJcSt8/cy7WpBdwR9ZMBAFPAfvp9MNmUysH8UqGypNMXexnBZMilMRkJduNhdc9bazmbEpCRnStkLiCEf3erPmtuuWwpzMDFA84MzdFT8OdDHT3V/v4zj8Funqi/JtmmOAZWjjhtlQiziwmRxiJzP5Z1KtLtvWFjPAvBsmWJxqNMsl3+uZGeQD4ScRHzrI61QqtjmRAPgDM4nCWuBPwBjKEGlv52RP/k/60jIp1l4QLzkGRo3QxMs4m7T9syJ4J0RD1d0hFl24QA3UpgUo/h6vO7waM1fD+m7e/3ZUi3GBRPTNzEn0OA/q7ucWNQZs30f2t369yRndb3abYaO1epbGznCpVbWSkLCoKcdEwPuMHKdX142yKHvfoszNlHYM4/DjvZgb18DjajY7ZeYEyz+N6xWQtTFDBF4WapJajeurC46LarbMYnfMsfWfvLUcqlJ2l76RIAjFaZwHBW6TBhutNejmKZOLaW1ET1zMB4vf3sPPFR2Mk1NI+Zg/dkxDPxQWCqPKOLeNA+0w+4WXzRjWQ79eBYzvlwlY5jtMqz/HzPzbwV+M1jx9vfznaBe19aX2OLy+x2rtI9YUugyGH9LMxBBlDhvWyK5mdbvg8k61Q1c5R1NZ3HfNq81q39XeS9jMlPgYr8WDbN8K+XCN9thsZj1g8044HLUE93WYCfNL+vVMu9YAo32RMnaP2MpaPnVhZ6v9CavvPT8Wxydysjz0ABbnDPSOauR49bDM/jqYseNwxF1hSi7wWi0Sg9C04LevjnE3pwVYEUl14kqeuWfpCQ8jdTVvu3T33SvX3hCfpl4yRw5DQQJ7BRQvoGU9QDuzKHznYpsDKsGVIamFzDcpjhDhWlHaVSe4V1AuTKCjZchMsHRRd1mGZK47Rd0F5B+jJkqLqQS/8XAFg7BuS70IMh7F0vh336U675YZxADVeAfAeIR6g6swtMzoEpl0jVusFzuVg2IVnI5mng8jNu3dWjQFk6TQ0PleyZWechjS5tSVnIYupE8UCd0EgpVQUFQEOtbgCbx4HL3Mlea+BzvwJASf1sANg4gX3lm2Affxz6KDWIrOr0sx3ebsf5DePqMijlmhV3t12zMFCvjD5AuiPF60X8HSLOf7LvUBtTZO1ZmTjoPWNZdD/dZh2emFt4epYobY65zOneKPxJAENEcTB2n5lqPx2f3WLqOrQnaX1s6biuW3q+oDIEiIEien6Wm1UOfR7kmfV8vCduZfRZtj4j0+M6o8i7Z+yXhZSWdZUplTm/z25ofhnaQSHPaNvXLlCDwck1CtosgJN308+pe93yV87BPvJB2GefAK5egJUSkpL1JvnEnZ+SG1LutRSry71HJ86GeZFZSh07YwTRAES8jSihwMx/RnbN8mm2f07Sw0ViAA7+OsYtOoZ8x+kWfFK5cqR2fdRwBerOlxFpBaDueBn1ezElkG01S9XEhUsrujZ+41GtXO8YAKosgI0z1NRx/SS5ioXX0JbA5CogzQxrpWbefSSBjYylzLlULufP6Q6QbQNJAqUV8OIHablXvgHqm78X6qmPQz31EJCOYF70IMrTL0P27/8VzAdZS6MjEhpHMc8GB+L92piDR491TTnpb3TDFs3ZZn8HUeomOhQTNSES1gDQdZIAIX/B/RCW6MRpndiIVkcypqbkz66qa2nEVttfT0e0rfCzI3bKSldudmT/3EFkxDgFcA51OqKMznMtYD3I72mAyd2AMpJ7Mjt5rqLjPMp3WY8etxj6u7rH9YMERzcSU7YyBTgbwGVVbUGr3xBORMeNZYybsRXi0ZJ9UDBQHDiYIiQUFrh8lmxyj5yGWj1Sc55qRWnmZAxaYLhsSWr5JUgSggQ0iYwEVTIe6TVjeNnWsrSgK3ko5K62fQjLWcoCgGJtSoduKPa6ppcFWVjLdRit1XUOXFqnAODYbcDx26HyIPs43aLZcWvZSpfvH1NytoCtZMXKN8hiqDKD3TgOVYn3lWfbG8CUAErXfLPmYsfXo8iaWUqt3W75c6Duvh+4+36o06eBwrp2qeN1ZL/+m8CzlCkqP/xe2MFfIee0rYu00OrR4Pp7vyctmQ5gNnlJRqh6yAhZk94u1TGM3OdYnPbySX0c4v4XZlsqx7Jgv4WQEFv/3GvOqIXZNtG8hCimpIGyBR2nTDooFuD717wsyFgjSbsJTDhGKR9LhvXvtecKrK0fx0FC9DMRu7vN6t1zK6Dr/Ekp4nON4PboMQc9kelxfXAzSEwFz7LVWH6wG1dKU1tOAngLaEN/F56eRwTJiTQNnO0EY0VE3oVrF4H1owtUOnDviUWdl+IBBUUR93iQ2XYgCOSMZ28tvWA6jklKZBoIgqvnUswkJURdpY5xWg9+5VwZNpLQig/fsrOWlz2RoHOw2jRnyHbIUSxsoFj1HknpHmyzz06GHonhfedTmnUXzU4ycsFyMeVgOdTgyL1eAHpcNzrwSbwQmRe8BGqXeuXYgRf87F6rSAwA4OKzsOefgVrxdDpbF4Ejt3lD9u2YQedOKdDNw/bM1ssmGctleZbOmS3rt6KOug0sYv9YOm7OYupcxQR+M0FBFDXNCKKEiUgBJAmNzScc+S4wWGu5lvx588ddsiZGiBc0W3Cz012cEqkRl7c2SFZGzAyuB4mRksW9zOiL0UM8mD3pIefxemUNNGe5ipgMKA46A3RYINlK3wlRNKfFxJUi9rg10F/Lnsj0uA4oi5tIYjxwEIZkBFjp1K5cFkJgSgqkrl2iMoR86vQOABEExc0RqwwOWJMQzMgqTWVnXdAxj2GBh+hgBJgB62WuNt+PUtcZXZzJJHjqnJXjGftqG/usLo0TnvEceudM03bL4nCWMljbTd6i2JGNeOjO53AMwGsqWuQ8s9mynXwCDNeIZEjwmYx4n9qVGdWyEnJP+L1KIgpmizw4v6Drm08pMwPOmkljxGQElC29THyIjkCIfstyymMOKord9ECLza+5dgV65aR7YbxJJG+wwkEwOKBiI4Kqb06HvqqGZe/RGQ92P3ht08ZItq0iOvx5Ecv3ysrcum2kYzIckUmHeEDnvxLyy2v8e2Of3FPLsGuZkKtsl7570iFgEvr+6crQZLtAVLgJl4OEKanJorJ0Xy+7/ZKJTNVodobg3Bj6CFwviJYoTjhDkdebt94KEB0mNH1/+Fn3ss/K9Lj1cAijjB7PWVgWuB625mSmqM+QS0fwwYrLSBQZBbDZbjNYiBMKEOUBHg1QOSAFk6Q2nxGUHb0d1ezzQuNm/YKOqNt7o0SmcMFRl93mIvvogpR6dJZgSbNADlBHa6BzwsLzw9p8dNb96QdZ0icExgW0gBPWtzU+pBVdFs+UnBHUTJAMmzl4+4kSr/QvAn0tWxfUKtD/6aipNys4KDF+80X+3w/KASJVUq64c4VczdpKvAQZO3TlU1o3HVIm6+LTwF33AI89Ui1qL18FTp+kY1nZBCZbUJjSsUZBTxefxC8yK94WOO81WFeqXsJngapvjED6uvjE0QRmBP7vZU6mCpNrRGpydpMrC9fsslbGZptlo9YCRgPwCU7BmeSByyZMtlEv64zq5OV6zM6K9bqFI13LQLIw1tD4B6N2rZ5tllVeN0h5YpQAOqdrfdgs4vcKFQFQjrzUyvUU97XqicwtAaW6s5zPI/RnoMfBQbHI9bA/EKRWeOcKsH2JZs4lWC+ylllPycIonlnnh14QEFuLurOVjyiGWt2AXt2szXQ3l/NE9dV4Szd7KD+zmt8tgyrQDCAkpCyJuPnQkdMM+Si42anJnbbmsJVvWFsPUH1IyVA6pmxMNnFELUrdeYpT1xul5KDXv6ZJ6q4TQL07qkCZv3KlYaIOmixKx3ed1l8XUpOM6mRrMGwSqWyXMwfWZRagadf+tZ51bXQMNRg6LVAxBW6/n36/fB7Ry19VX/7aZWDlKDAYQ022HFef13HesuW0BJViSBGn7qfVlWfWNjveSwZ0fv0Hv/SN8SFNTCvoOtkEaBbfvw5lzlmoCWrBeNYSIIsrodwL1WRBy2darNgBVL2wJMsZpzQZE8XNLPNBQZyuBNnu8hNVtQbGYsTSMjligRtGZHzECZ3XvU4GHTbE3FQ1iuskV74PpFy6R49bBH1GpsfBoSxaZqevA5Sm2WGgHs90Baj7hqXgxngORb5AXpbaudrd5V5FRIRmlZQpXc9+6CVmzfZDGMJJXCmJiVN6U8qULJfYLNIx2hSHc6ZImhf6REMQD0iMLf1HJHCdeNm8ZNAMTPNd3mbBGhUva2INBbOVhiVy+y0LLu3ztlfpL1oE6QCRxCgicqV1e9kZwLOuQy435KC7MPV7VoEd6LxySVj6Px7wveotf/Qk8DD9qo8dcwVwb3gTote9ASoPskU6JlI33aYsjb9jIVryAfaJuY7rx61bAsyu270tQyaGCnLfhlmLShuTNwmLZhITBu9RVL9/Yu6nlIzofqhgWJcQCPfLgglmPD+olM+ijjg7O6YTUNM1Xa86edu835clTNKY2P/ekMyiaHpKnqy5WSGJuMTFKRt8XK9nyfUG686UqmvFAKdVAtx3Qo8etwB6ItPjYCCdum8E2sjS9Wp+phOnj/GhIudmZCysVkA2Jevlsw/vbV8yOy2BzTKxyTJExq+ZNkXdAADgviMquJ5mtrYkRNWx/ZCRGcPlKxFrD0QUn089IT8wc8a/zebaL0eKk+ZnQbQrRe6uq+9gBnglWNZtsxKC+1kbcdgSQpS3BNDgMirrDqeY0BjTMZGFbLu7tHC06rJDsrmVDXdW1teA4Rjp9/1tRGkBXDkH3HE/7UiCdrERH4xJ/L9yhMfMzSKFwLU17qv93T5EWtfrg6NY/6YC4iMlUbM2aAp2q/OvB597M+Vr5Yv0cxf0CrlXis5nSEDLEkhid+/5x1lk83VkknHx17tRDht+VjAZ7N3CV8eo68lsh+tewVmym/S9IWQRqvl5OuwQd7ZOUmspg4cOF88ez030Yv++tKzHAaHIqV7/VkGUkvvUYNT+wJ1u1UqpVJFDHb8NWmvqKTJcrS8/GEEtIvDXsevbsgwJCJtszoIEwUXGdsu2XrbW9sVoW2Zmq/dmuCkdJlhTJ8FlThkLpdhW2bt/u8YuRFPsjX3kEwqGJ1vcmDXQguS73DsmqgvBAScGL02dlJc5oG09eJSypFppU0YkJfJey7nJapQ4d7N8wr2L5phxOGU/qsfEcOxOw+k7MfiBf4Lo3nuBnavULynPgN0tJjGsq6jGC2D3ChPmIFCd9yDWbCvs/1jDdsasFauE29P6vVzmLVnQYH9C6n2iIhkaIZBFS+8a42Vy3IvNme4Ba5GqayOlajI7XrSXd8pYr4eAfxH4ZW0A30t7nPuMk8WPoasf1o2EuD8+JywZFU1ODFdnl8dF3CQ0Sg5ntrxHjz2iz8j02D/KgoIZpblm/yY9iKIEVVq9Av89WKn+bH04VWJssA64gOvAvggsFAcmqpgCx++AnewAzz5Gb68cWWwz/kzuslkmHXk2rjPQmIWfs04yAPKObJtV3Ta4xl5fB6IlQUYMCtL/o9nLx7PtVopI7HSK+vnxSF86omXbjn/3Govpizq5kIxE4r1WKw0zdA39WX0xHKjMFcQ9TdcthKUkzu+DY017Q1rL+zAtJTSDcXXMygJ2MCIilA6AlXXggc+DXt+EUgpWjq3IvOCo7fMVA+N11lx5DmBt5hdtl6VVE7aonsLbYByUBmppNum9Fg8pexUOojJtMF62ZuKuC+AymenYZelKr5wn8soXfYTGDACXkY2axOh6wLA5gZSBicOVnKs43X/wG6eL6WtsAeAm6lWkD480JBUzmMMGKXuMDuDa9OjxHEZPZHrsHdZSYJLvukBjJ6N+GQclRl8UVc8T26wKUtH87EBX88lFiEHbcMocKklg7ngxcO4xEk4vjUMglI9iCj6iuP1cRBGV1LXhsE1mbl9yepfBKqxkMKyBqnWhV245nTgxv7HA1AtwhSAMV8mpSlkiNaM1IjKTLQ5kC+7iHlNwVGZcasb3RD5B1eBRyHQh5UxekF1k7aQnYrtfAFW/FbFgBtsDT3fQCPxDIhfJ+HLULp7MwqdDqDd+FZRv2W2ta85p5H4N7ltTEAGqgnePaMXpArd5xwJt5ZSas1WVixe45Ixtk+W8As7IwCeiPlkMvzOs9DiJ65m9IqsTSimbSwZ1wiLLxEn795H/mtLsqngDPkTWelbhnJ0E6qddztV+oGMACxAZc5O+9/z7SSlXfpWO6HocFt2MZgv369E8tMdzD4etfPsmoCcyPfYGaylQC+1AAerfko5oZri8UeVFsx5+cx6MbUELveECxL2iyIH1Yy2z/y2otCtgW1iphT/gB/tSzz5euCzqM89zV1PXT7e0B9gi53uVMd1yltzJCHbAuhmroPyA3+TAlIPRwQpaswDZjjNDMIZKwUbcR6Zm4VuQRe9oLbB1BmdTdL3HiDhjqYgzGalHejx3wNLveSKkZ+oJ10vSA5VZPVvq35NDtiKXXiY+dAyM1qk5ZhJTxoLLsRQU7MYJ4PyjHiEI7ldrPHE7u2BJ9mHevVhpYFomRqS0S7IlMO68zoJV9exHFIMyayWXxxreZ2DEQAu3b78s3fdIpWvyxuybELTZdmvtAmkd0/W6nkGqZfewKgvN+66VgHEGKhkuP+MvWQ0fix7PjXY6DAlMG2K+zypTgpuASNwT+4aWPXr46IlMj+UhM3i+m1OIbBfINAdtN7nh2NykSsdDIYqAfH92oCoZtvdT0RGV2yjuz1D1hQn254u69wsRslpwAz4z+6EcEpciKH/RursPidKH62Gb7aCTEOa7Ttg7Woe1tv2OiBMAq/WeRACQjMl9zHBGpshBM/Ijl43xURQ8Wx+ceysZFi/INSWosZ1X7iQlZGFZWRQBVoLptFke1aZlkiA1n7TOulud0HtKUzPEsqhKKKtlUioDskUO1ZnZzPiYuJ5fHN6UF0DL5THGEcNZ2izZbudERBvkvrR0fZRyeiGfRJY+IWHEaXsfGRo0gIiyY8qiZs7Q5ipXZm5/UjpmSxrTMnqSvcJ0BOS+CDzex6y/lBqGeq9FINbt1/scLEJg/PeTIZCAPt/ZLm5YxrwnMD1mob8nerF/jz3Cn93uhCGBr7U3cXZ+kUxIxzKatTX7KKtQOoJKBq4/jPSIkbr84gD7wvgPZjEMkP3p2Nlvlhkg3dWlh0ecBmJm3W7eIDP9Fhy4dwSQ0gjysGCh+xVAlEINxtyB3Pt61JGbrR9v1MXZUcR6gpJIjTDnMuN7yInkMVh1Ghet6voZQZk1ya/J6/ehLZ1zVrUeZ4SSASpnNn/9ZOjKxCTTIQJ5WYY/L1ZHdPmuna96h6hsF6otGJUxTHaYGM3SdFhyS4siyiQZS2V58jmQHhem8BzX5t1HMz7jSjsDjTilc26ZwEcxfT7kWofEUsihTurifIBL1AIdh47pmConMuVl0eLmeRGHMwM65mREdtU3qpwshExMiOmBWCPvBY3vEyxBNu0NynrYvR1jnDj9zPWEkKd0fGPIbY8e1wFKqbcopc4ppT7kvXZUKfV2pdQn+f8j/LpSSv2wUuohpdQHlFIPLrKPnsj0WB7GzJ4lDZHtUqNICZoPG7qeD4YfqApEaIar9L/U4Y/WZgdt6cg9kEueqZeATV6bdz7mOjpFFDQkQeAgouMuoiSXz5Seg1nhBXwdJTQAqg7xs7rCA7TdQ0BmbDZxrl3zoDVnEycAYgpyB+N6WZkQiNE6nS//s2ANkK6g+mqV8ztao4wGvNInUwKlbTpWRanTJemIgmlTevoO72u76vcj449oXVMCVtfJjwTmgxX6yXfq974xsFEMq2Ng+wqwc5lfLzrckIgkKHlvd4szTR3lh/GQPhOpR/ZMiblWsIa1GwBdHyHpQjB05CYJhLhH3GdHSIsCEVEJpo1h+2nOvAxWnWbJR1k6ghd+1kUbA9SzNQBgmKRWQv8C9ZOt3OSCzOzfSMF2+P0ds0tjOqoPc69NbdsIwjLbadPjWevu7YPAfrQFbcT0wKDpO2S4NsdOuUeP5wR+DMCXBK99P4B3WGvvB/AO/hsAvhTA/fzz3QB+ZJEd9KVlPZbHXpte7l6j/+MB1+zf5JKzWfBdzIA6EYi5HKfIyMkpD5orinWykfKIAwzmaz0lWG8gD329xAO+6+FoCkCns8sBTYmFmnUaA1guJ4rj/QUO+8GinchD3YItgIyv+2i9XsoleozB2Ls32OkJhu6LMnez/HLsouWoYOqOVX45X1mAnMm8xauO8l45lWQALLjMqvC2XdZLm4wB9fNoISbxgI7h2nnvRe5NIa5Vct9ECZ0fFbljvPwM7B33d+dHtG5+5isbZV2dwuoXvwcOrPvMyfmrXY8ZaFxXacJp2JCBjy8ZOHOLNlcx6Ga5pbHNbI2OuEzQ+zz668UDnmDIvOO4AaVUPuRYLZ9XuT9De+WDGpM1yxEQkwM2yE6JHXQZk6brZkKpJUsaF4DYIvcuZD0WhVKH/l6x1v62Uuqe4OWvBvAm/v0/AvhNAH+LX/9xa60F8AdKqU2l1Blr7dOz9tETmR7Lo83OdRkUU/oZroIClutpCLDHB7Hl/hltncJt6Ym0S077c4YiHbsZZMUB1yweI5asXaYCSlG2xdfRoON8GcOzvMXsw9ZxNxmV5n7zYHKaMZxcm7GQdT0//IB+r70o9gqliIjsXqMxrRyhQDLUuoxWoVqtw1kEL/1jpGEoUCe4tSaV3KU8YcInREJmckMTjGLKNtfhfWBYfuHdI6ZEVbbkz/iLuN9voimZuWTE25Z70tcHsKC7ZG3PeBOuG3sBZQs6b37GobIh9vrZiH1vG4Tci2MYtDMsKCbtroGNQDEMstt3VUNDy4LmfvIpTUYkA1dqVuZ0zUxAOsXRTIk439ZL0uKESxBbPvQx28PXxsMmAzH3o7mR3dYX3Zcp9z+ubOLumUX3acr6d4ViwiVlq7dSpiIZ0L16Kx1Tj+cLjiul3uX9/aPW2h+ds84pj5w8A+AU/347gMe95Z7g13oi0+OAcVCzUJMtLusYX7/sjML8h2cX0bBmcR6kY2AYc+d2Pwuj5zu3ldP2gAtwD/RFIQ/CrmPSUbsYu/b+gvubt5zsR2lXmnQzSs2KjILS0Rrdb/mE7reVI6j6ZexerYu9faRDL/shWZPSEVVBW1+aMAtVFkCpmyVYKuq+Zord82rZAMuZHH7NJ0HigKZ98XpGWTEhlabg2V8Wp7NbmQL4npdsSIdWQT5T1tBxjzcpC2WVy1hWGZWSxhL2SPJJoDEtge4c1yuLpt2yrGaVy6pGrC+ozp1pIU6GDB+qxqKsKyvyOgEE+F4oKXOp/KxLx2cYaE4O6KiuJ8qnrDs7ANIg1/ygJgz2m0m1PMEyz7ghRJkHRIY1I0V28wN+a9u/K/aCLkOYHj0Wwc3+LADPWmtfs9eVrbVWLdQtvBs9kemxHKR3zEGhzEk/s+/eMxzQtPXK2GufCoBnYOPZY1MRYDJKlDR6c0SzSZrM7sK2Z38qO9cFiZ6kmnXHfjWPtWss87IxEdvS+r1WutDqinQTvnQlYJWu9gJfNzPeBKBg0yGQZXUL5jCDUmR8HoL7IuwDEqduf7WMCAfNychdb9EcxSmLrX3jBkWrVSVkxh2T31vGD6TFAc0nP6akAD8dc0AZAcVu/ZqU7JIWfo5CAlpmRIKMgRqvAS9+NZBNoMopfQ6S0exMaxsJDonMIk5SZZvdspSABU5hte23WSvzuKbbrLcZUDY05nKz8LMhnyPphTNPMyaIYroG/vElg/2TGGsdaQdIB3UQZKbrOvj6GWu696U0kctlv9+LzH2OqpLGQ+LcVUybpEyzMYRmEp1PFpgUUh36sx49bmmclZIxpdQZAOf49ScB3Oktdwe/NhOHu7iux+GDL049SOxeBZVj7fFBLg+MKKm7dUUxZt/mEgzNwDKziC2bp/+5VEdmekWw7Ivty6K93nWZB7e1FOS2NW8La/kb+5lz7qOEOt23WG9bKNgogY1S+l/F6DAxvvFY5PrJec9Jg2GTAWw6hNWRm/X3UZZczpXy/eZlbbjHCrlVcZBSZnxPesFevsv3QepIp5Ck2n3g/V4WXGqWuH3lXn+SOEUtkyGW2YJIe4YTZXsWSfZt2UIaYD2MNw5j3HJlDgVV75UUnvOQ1MgsvY9G3xHM/rvteyiKmPi13Of++Od9pkzJJWcT2nE6YqOPjs/IorrBNhIj49kP6TCGbKTDvkXXE0otnjGOYiolXpao5ZN6KbN/nvZqRADs/TvdWi9LFyAdU1YyZqvkwXj+8fZuZD2en/gFAN/Ov387gJ/3Xv82di/7LABX5uljgD4j02NZXA+Ro2C6TUHdYLBk1kfKREyTlMhmdEwBjkAcybSefSzzsjEAz053ZU2YnIXNCIGWcgJDy4Yz00W+eH35Xh/slfCXmxa2HbP0Rwl3GQ1IKzPdBgarsE99gt44chpqvL638RwQrDHdgcLqMdL67GwBcUrWwlEEG41AmhAubSmmnIEJs1ysG/HvrbAxpWitwO5Z4iQms/eiraplRUTkz/eUNUHZEt/nUQq6wf17xdNwSEPXyjKbNR3gMWkNKM+0wcp4Rf/D2670MEk961A7rwHRM1yWWWmJTPN7Yx5xCW9ly9lGA7Tdh41zH2ZdomixoLHKwElj0in3CoqJzEhvIMmgLNwkVreTmP3iRvc18SHXdF7ALlmZKF7+2VEWdeIsr5UZoGLKmi0KwxMQ+ZQymcsSCVO4vkM+2pqGKk1kZrrTfcx9NqbHfnGzTHQWhFLqp0HC/uNKqScA/ACAfwjgZ5RS3wngUQBfz4u/DcCXAXgIwA6A71hkHz2R6bEcdLS3h9GiKDMg43T7oiYA88q3ABZrB6+JC1OUcF29LGvcvqWsZ+642+ruOUidpUlpbEeCAp+4tDgjdaEiZy377Hxga89IgBESsyhptTC28QDYvuReyHdIe7J9aXG3sOsIpRRsOqLZYFOS6Djf5YagJXWmX9mEH0UrmV1XgE0GbE3N94MQCukvkk8qfUmzNJBLBuPYXTvlOYkZ4zImZVBOJmTFb4SZDPmc8nKS5anIiazKGo6G9bI3PimXakOsvc1ZZw4xy043vLVM3iwvUxo1o4qZhhQsjJfMk7XuHMXcJ8c/XaGbGND8HBjj7uk4QSusDCpYb7rFpWbciyfia2pn9FIKsdfmkl2wTKRbr6Oeb+0ekoNF9heOX+vFt7HnsmRL5CHlfj/iXmZKIF3Qzj88VzreA4kxbMseQOtuQiJGGtlOc5IpTm6suUOPHjcB1tpv7HjrC1qWtQC+Z9l99ESmx/JYJjDfC4opzyovuPxeYwPJ4oSIU8rYKA0gAiJLQZNSjvCIja6ci6glsxNF5Ia07MClt0acuOZ0y5RCqI4eMAXb5dYIoqaxzxOutkz22igFpoGDnTHA+lEiMtMdWGugbuaMkSmhRC8CwCZpZd0qzR3VjJ44qk0bkgxcYBQPWcweNbchBEZ0TkKQlaKAToF+Si4nE7E34GUvvGuVT5rLiR2zCnQ8EVtoi9tZQ4i+xOy9b7nsl/Vo3Xqb1dabuRvWElTBHJsgVOepg7xbUyfZXSL7eRmfBjQQqe5JEXFbTIa0zzh1Wa65kwyqmzztBaakLEznTP916nMiGb9lty2Odnt1qDQlkYHBCpODAWU65pEoIcC+FXoUc4+vwBVt3naynfbv4Xg4mxBp7t002UbtA3EYe6r1eG5BqXqlyfMUhzsn1ePwwZTXn8gA9NAIa+hvFERnUhqnXTEFGg0mpTO3jl0J0IGNoeTSJtb7iL3uIuj8XjPNAES60s/bhh8wxQNgsEIEZdDscK3Kgsq28ilw7VLj/RuLeiStQASm1qFeKzSaUgLNrJQ0TKwFrcaVn/mIB8FyzIDlGkZR/X4pS1Q9SVRE92CcehkCbznRV1VDsLScHEPEGRTL46uslT34p0XpurbM/xvwgjQvKDTF4mWM0sRSaSoDkm2b0n12ypzOYcmfM2NcSVwDfjCYdpJQKp+L3P5mDVdHgLbdJMZHPvEyttrTz3R9XykqMToIQi8ajcl2N4mRLEC1fEtZq4x9Gch9kE2Wy6yU3nenjrgh6jL75ZI8357Y/17sginp2LPdYDnlykYXgbWUxW0731KhMHP8XI49CI77kJcE9ejxXEGfkemxHPLp3mfVlsXuVWC8MT+4OOjS8KqMKJ4/0yqdw/eCRQJBOXbpYL6Qe9mMGRrfstfP+MyFdfX9EnjKuFrGrNY2YadbsBefAlaPUNbjZqAKFrgEpu1aGcvZCyYRlfYlcporsW2OYpBBhPSLkd4fnh4j1JLU+r2YeoPK+kCA0qLqR+N3jq+2FTmtUjRw2Zzqegzc51MyUWVJmQbraVTk3pOx+doy0YVJBqHiMQ3River5VIyKT+ygbbHuG3WSGSwTVPWS8Kk1NIPIiUbFHH5aZygKsXUbHduDWWiurRr/m65X85iNaSMyQ4FpnKOqv5ABRMd3lbCEx0H4R42s5TMgwrtqJc0EqjsuaPm/Sf9c0zuSnMXAlthx4OOe38G4kF7NkvNIBHWNjMggmWs/q2l8XZ9TyZL9H4RMjNljY1pmVjq0aPH0uiJTI/lcKPFiZU1c4db2sLB/YLwg85FCMp+srrLCPOFPLRZNPuIUw7K5uw3atEUdEFISMv5UGUOO5SyCQ/ZLtSJe2Cf+jhw9Tyweaqx7g1D1UdkSsetFJecZKTFqF1vPkYp17KsDZFgRYT4/rbzibc8ghKvoPloxJbMbZoOgMml34XenzRQACIAQoqmzestwXtN6G64Qk27+8ewzXJbFlHeq8bg7d5HWTriZApaoHFvztDVAB0mAH5pJBtg+Mcj5gNl5ghPZcoR9KeZ9/mMWmyaQ1Sle0EmbroFmBH1GQLoHokTJpvZwREYgAPq6WIWz6agwFs0IMuWMIljGxSQAjXL4ygGRqsLjtm4z4ICCfOt2YPYn3sghRmMWSVuZUdT0mrdlusiDVB17Mi06N/adIfiQLkIbPAh0hEbiPTosU/0mb2+tKzHkrgZVpG7V7ksgQMDf3ZfxxTMyWv7mfmPvSaFcbpgCd0+zkeZLT/esmWWHnDlMwXZB8+E0rPJEBCUHs1popkE5WXWAsN1KsdYOwF7/jHYmyX8V9qVLQF03MWUz+OMQFMpZwqAQH/iZ16EaJiSsikqce+H583PnEgTS/8hFJIbHQfrJ05vIygyyrb4AV2Zo+plUYNxGTlxkWr9PFvWfBlXahYPOGuj68uhdMShLagMiVJjG5j/IC5LF/SJM5kp6+vJcTScz5QrxWuUzy1AYoQUGi4hDMdecJlV4VmoQzlTgIOAiNsX7VMDUGnuIoRBNCS10lH5Pl1E+zML/BmSLxMp81oWpnTH749n1vmd95yKg3WNcWYQ+S4Zm+S7LjNqDJ8Xb71lsjEyJvn8p6M+AO3R44DQZ2R6LAepnz/ILMgiKDNgVx5iGki4d4fvZhSlTkvii/IXyaz4gmFxJFoI+6xrU4FF7CLwMzMS1C56PaIZ3ce7MO9ZLbbNJueHewxsX6RVVzdgr52HvfAUcPIuqBtdSuEbNIQoCxp3leXyZ/1jAJlrQolwG1wqI0TDijvZrus+rrV3XTSvzxvRYgQhM+YtQaM0AxRns4qMlXXSU5a8HT9bN0NYXWREsqTbevuJYx2YzKjzuYniehmaf3PIr/7steXsTrWYaRK0ll03UOYtJXmLBJEdn38V0f06C/GwTvhtBMQRAK90MErZzc87j8nAaVT2C2tn2/fOQuWAOGPbkuWJUwquKyhnaLCfySsxuVj2OydEkQPIOeu1SFVA230tOrWW7I7085o5Br4XpMx30e+yqmmor8HqBdo9Dgh9H6KeyPRYEoqFqztXbuIgDD2AJdDQmgLSKrALgiStKXBpJTeagpPqQauXK/mCRmevmUW2s1ceVHJwa/LFzRe63J1CLElUlS1hVzbomky2gNIrM9u9Cpx5IfD0Q7CmBE7dA3VQM9WLQsqfrKXgwwKwfHw5zxDLTKvmINV/Nkg5WewRhbBkzD+3UjpWKzELSyAVII5kXZdPsbDbb5gpKLIgg2PdPVFMWeMQ0+tKN9e3JZwNdHitW7QPlV5IuWW0dn8LoY65B49hwmFKEvjXyr3muImpCFCccdGKsioKs7UVSz/L53xmQhID8DkDgJIJcIvJA0ClfrE5mBl36VezF8ydgPD0fUVGK0iGOEr2T2Islw0urMNbBH7J44xzLOYSfkYwEX1OyzEt+n0nWZlljAIAV86quGGr1mSaoFXdJr1Hjx5LoycyPZbHjc7GtCH2AjBjAMM16X76XtBms+z3p/AftGGAOg8ykyd11X4N+KyeLgeBguvYK53EjP0sSmJ0WEaFuWTLQlGAsH25bYNQOoZNx8DV87BlAZy5D+ogrWjnwpsJ9QlsMgDMbv11U7CIvGHbxjPXHHSUQYlLeG4LFuGrGFSa1iH+l/WrILk+7GpfKmoSTMkWWc8GvMrWsWBbjAOihImIT66SQJuiefkZjmRaA+CsTEjea2VxSXfGQ3m/RNy8U+4HC9crxxrAaC4rawlY/Utkg/+r1ztm5hVPYPjnuLaeaKFaPlMWNKZ8woQnuPZCEuN9Ehlj9teLaV6wrSPXzyiKUCMy+4X01znIfmNRXM90zSKK4hTmT2qZkjPGQSbFNy+Zt38lkwNLlpTJ/4Ox+7yKK18fhfXosS/0RZo9lsfNskX2kbbMYolFcpxi7q3t28gK4nQ5EuOXDpmCyUQ42zznXC2V/WndAJcxzehTIS5avpaoBl9z1NKDZsYYrVLA7rUOEgNgZQPYvQJ17Db6e/sS7FOfhM2nsDeKELcGHaa79KrMgHKCVktmK0E+nzM1g6iWZb2cDGjeY0IwyyIomQl6+9jSlVfV9sGNXoWYC5nXYELG+y5zcggLg1vJUsUpDbPI2g0AKucyw+OaQ861d36iyM3w+y5fQrjyKWtMJKCUWWyevRaNU9v1CMcH0D7kp/qu0q4kCIqCWjF8kEyWj5InIcJ7X8ieENdi0l7qdBCEYD8kQHnZslmIYsqY6ejgSAyAqlfSIpq9RRDF3BBzidLU8LqYot0BbeGJJuV9/veIimBJf7CDttzs8fwCT8rczJ9DgMMxih7PLdzQ2fQWDFdnz6BJYL9MCdNSuhhGOLMH42bEq2XmBBMHVd9qSleGVNu+l2GRZnY+4oS0HVFMQV/rOWg+6K21sNYCV853l/yMNpzV6HQX2DxJv+9cIZczHVO52fWGf50inoWOBqByMf4/RJc7nGgrtGY3K90dcEZ87iUID53i4qAHipSLybphekEczyKv14sQz5L1SWJmIP1Z/LEZJiEylqofkm0GnCGZ6cp4VOclOIdRQiYQKiaiIgSlIixzyJDYXPvjL2f0/vDHJfsocu8aMnE1pduv/1loI0piciDBpjTpDb978ml9XPqAmlHuJ5ObzGnSeCMgz4mDSEj7zoGLIoqDZ1XL59yYxSevqr5HS5CZtjH7WpmeyPTosW/0RKbH8gi7ud9QcN38PJiyZZZ7Bg76eRInLhibhYOONWQmWaCD8pjwOJV2wXVb4CRi3RDxALh2oX0MSgOrR7lpn2QVDNRoww3j2Sdgzz12/crufMj5iIcuaDcc5IrDVxyKs1tuiHjgAhDFGZPOGSnN5Wl8fHIehFRFMY0lhPSOCQMgv3FpmdO2/Saakt2obadDkGzLIBvVYcHcdmxdgVcjGBTrWr/XzJxtibtYLKYdDQsyul8qO+aOILH2t/E+Dy3HU3N7K5wBQpUp42yNlOZ1NYIsvZ4gN6tju5hDDFdv/mQT4GUuD+DLdV5muwvaOw+6hQwt0+DZGrrlFLrvg0Xgl9xZ05OZHnuHAmuubuLPIUBPZHosj+QG95LxMVpd7iFStJSNhIiD3hO191JXpiIz4XP3OQXybDGR64E/wyTQU/XAu3P/UnrE/RLiFLUAsW1GMUqhygzYPF1/XWt67chpyrqo4OCmW8DxO/n3beDSU7DXnr3+WRml28Xb8cAFrmJLHLEbnpACmaXXUZ0oKKDqTdN2f4X3lJY+JOyuZw2RqTaiXYqbmVcWpWLUCYdkFkQbkzlSUy1SNF8DaFuzRNJiUazD8iyg0WOm2mZAmNru6zDLYzzSLWWPYncLcC+UQXMbOqYHaJF5WRTZYUtQKsfR1tNGae94OFCNUmDrEv0/WoNzlJsR8NqyJUO7TyySgfDJy3CVnMcOQ5NFad6pgQP5kttrsO+fw7aS6GWbGZeGzUL28Z1V+062PZHp0WOf6IlMj+cOokV7uwQopvuYofTLYXIXSEUcGEnw2/VRmuscdJ0eZElQtlTtTx7AYhIQNF8sMuohEqeoOcEJItdAUmntGl0O14D1k1DWEtHs0DOosBfD2Udgr5zf40EuCK3p2KKEyUvkjt0Urq9KGQQ14gqXDptEosqwKEeCJIAMjRUSj1BKMC/3sV9O5kMyilHqNBmt2cXYIwhS2ugH/8FrUUridHlNsg3xkM6T6MyKnJYrcvea9BaJ2oiMHzAmLsAOj6mhw9Cu5K4smmQgPG6xqhbyKxmTise0OFkVfBzhrhWPKQ7IX0Vw2KUtHS5p+XtAWUaZPGmDaEZ88nKzS8kEpqR+MYZtwQ8CdknCIagMAgINoWVyumw5sWHjjHyPbnLWNtdr06T16NFjYRwC1XaP5xSkr8HNwGC8nBjfRyHOTS0dn9tKfARtb7XN4mkFaA52lnHrKTN60B6E8N13bStlpjmcBTduf10P8bIEEJIR3bQQNgWUMbBHzgBlDsWkQBUZ2TFfbSEo2Q5w4k7g7MPutXOPwA5GUOON5vIHhSipa3n861NwDxmdAkqaRibO7cuYugNXmz11mVPwG/Y6iQeBLmbAbmKBdimK6V5TEQVtco/597s00SxyF/xECq58R7IzU6/UzH9tUL93a05qmD9JoMQIQrt7TQEkgrYU7AtZESIXWpNX25D9xvUyGx1zSZ73wZNyO62di5d/DSQrVpFLPT849PVKZU5ETppj2oIyMTtXicAmnJVdNOgtCiBe0tmqDUoRSbGs01Fc1yTn/LAQFx/WsGGEXL99jNG/dyqCuYftKdVsPlsWZH+8LEwJRBYAPwfFPGDRcSkFDFbYNKOk75U+I9NjPziM3wM3GH1GpsdyyKfLz2IdBAareycxgjaxsMxCd2HRh4wIOEtu2iYfrev9kBJ9RJS4mXMAkOaFbcgnS84mapqFL4NgngNfVeYcrmh2bgONZbjSujUFS7PJAmthn/oU7HXVXnV82Uepm33X8HQoXGpnTPNB0fXgsIFFs5e9AuDE/aYESlsnitIRvtjtLg3SEQfyymWXStb6RCrQe8hrch8qwOZU7le7L+T9lvtBh25jymXT/MyNf+9bgxoJmfWQjdOmUYQp0Oi6LuPMffvroNljkTs9hNJsxsCZUymVgyIi1dYDyK/1liyptcDWBXLk0zEFoF2IEkdMbXlws+zichWxgYAWt6BDGrwoTeRrMHZZLKWJSAxW+PV52fHIlWJqLytVyr1WLPf91ZYdLLjMc1nogHjnu1Qmu8z1lmuapHRObnRfrR49bjH0RKbH4rCWu1jfYOgFBf6LQGbZq23PqidXeytlC8tV5mFhsqNdUCYz1BLItmV02mxllwKLdaOWsqu2QCp25VcKANKOwC+fQh07U3+tmMJefHIfY52DUCMhAW6Z0WFGgyZB1xGXoATHPi9oqc67d121DrZj6tdHSr6AjvvBD7RLF9RV+2Thvx+wlSVgFGtEYvq7LIHCy7ZFEf2uI0eI5d4y3n7EASwU8LfBJ0XK+0WaFMZJ08HNR00bw8vLuZHeG6Jn8fUttuSgkE0BhGwJ4YKisfv3cjKs2ylL08Ldq26ZbJeyM1FMZWbhY7PKBpn6OpI5u5Vm3KU0at4xSTYpHVH5m5znKKmXxCnFpV++QYly32fllLU2EWVApjvLZ2aiuL68tXvQuCj3vdvos7XANZbPUD6leyOb0LFMtuiZWvSZmR499op+KqDH4thLTfFBYLC6vChzFqoGgXPKuXS09/3KzPxCM3Xcy8MvF1HuLfrfusByL+NYpBlmG9pIDMKgnBGcK2Vy2PEmsHO5uWyek7PZ1kX32tVnYY/dCdXWI2i/kPISwxmD2nlsaZgq5yzUEYn96jyUXC6mNW9aU4PE8PNTTGlcWZCNCq+ZaENguWJQiJA/PuPMLap120TonDmSZohmzme6xTys/ndL+aKOnCOUjvl/LvkK7+G2z0gxBaIhlfqF50yyMWXp3MRkOxaA6phEsNZNTFhLgbQ4pMnrUUKkJcRki67nYMzZLcs9ZFoaYgKsE/FKcOP0cFgi7xdlQceVjIgch3oky7oiOc6u3jSi6VFj5+6Y77Zn6QDvnuHPwH76V8gYF8nIiAW3UvT9lrdkjcOytRDGkNHJLKKS7ZDO8Ll+f/S48TgkvVxuJnoi02Nx3IwJI7/2/SBR6R9mPDj281BRijMzYW8K3qY81MSitMyu30OsLSBfBF1ag7il30zX9mMJ5sNgN4daPwbrExlrgZ0rsPExqOvhvBSnRBjCQDoce+QbJbAuQW7+ipgsALFnllImgxZSKW5mAu5Pk09YN8NEQMYXpaThkDFX+hrjGQhM3cxxHDmSFA94Np2XyyeutG6p0pjgwSm6GP8aKw0g0Ip1BXJt60cxESxrWs6ZASz38JEGuNX1U03iJZAMWM4aqGzHaX2qMc44D9uXASmLzHe5tG/BCYIio30dBlvkRdGa+eBrmO8COWdd4sSVfMk5TUfdJEagtDOOiGPAdJAYH8lw/65sVQnkHGjuOZXtdizvHf/M/S3ad+aAHrCyr54U9XieoCcyPRbHzfhiTMc0KwvQ93zpNbTbL8qcbXI73t/v4SpVn5WdhTg9GMF/F6QZ5qK15TpywaM4tIl4vI1YdjyolSlhV46095yZbAFHTwMXn3Gb2b0Gtbp5fSxkpdxlatx50EGWRAcZqJAELlv+ESVBEM52yJbHoFW9VCWKXTAnrmU1gihlUx6BKQsAUT3LGDZmrY5lCCpr88wE4tRlNfzzoKL6xLWU2uVTl10RhCL+ts9OqJ/x4a8fNiOVrFUekAalaHOShZJzYabdGdcip3I6uSZitgFQpiXcR4jtKzSWZMQlnbMXB+C0OtU1PwT2yLNQZX8LLqXzUCOx7Pyldd0AxhRcurXETLHS9fMipY5hBsTM0P4tAttxj7VBR+2kJ4q5HFMvdi0XLYuW72gtExhLONFZS+ddGiPHA5BOMp1PKHs8d6EOTy+Xm4n+Du+xOPbjnb8XDFdRWcCK/bEEgn5vl/3cxkVLwCc4DCXLikXLB9EtfJkUdE047nVIr8qzPMwq0+s6tzKkwRpq1+/KOdhHPgQ7L6DcK5RiowEp4QvOaRiQA464SWCzKEISI4SozEnPIsFwOD5/LDXHLx3oYgoaapQA4LLDSlui6DjKHLXzaw27ag3qephKd+Vl0MqcJw/4mCsSbBcPjiTYixI+HoPWfh5y2PGgmaESu1uZ+dZcitQg5R7rqp0L2VTEhg6S3fIME4CmK18Xrl2i/cg5nIWUS6fKKRHU63Vf7xWh/buQmGynPZNgLWos1RRO7C4Bf2ixvijixH3vdGWv7KLZjQ6Is2A6pDJBsWZuhW7uS7I0/ljn7jOi+2CWWQRA3w3ZLjC5Rud0uj1fj2QN3VPTLSKTQpTzXXr9ek6O9ehxSNBnZHosjhvRhV2gtZtxrSHUNwBVsCNxjMxOLYoya5+hu5ETHf7DSsiLHKs/IxjFoAdsR2aENsCzNF6wKQFyPKwT0rYMVxR1lKGZJe6BiAPDzAWybQ/V6RbZMZ9/1L1WTJ3V8PWA1uQYJL0kAKdBCcfoj3vZjFYt0xLY90axV55UeNfEDyrLelmVBIu1e9VQNkWWK6YgG2l4AXvkMi6KCU41060APepu3hp+BqRkrPaGRuWkprzlIl9PVLrgtnWWWQUlfXCBYmWzXLrMTBS7bEjsrefv09eHRTGtLytFKQWyReaypouW15U5cO0isHqk3iOoDWFGdi8BfhuEcOy3f4xYxSds8SzfK9a2zw+ZFvv6MNBOBnsbU5Ux3XH9lcLv5bIA1AF8Nyi+XyOwtXbBmVDLWia+py0bD+iYiesezreQfqV48iJf7PlUZT9j1Cy3peeVLViryOe/7RmWT91kRY8etyh6ItNjcVzvDuw+Bmuo9e6YCTOjNEZjIaG7kBnLDfWU5cBnP1jwgSekTbIXZdZd9uCXPemoRWwrpUctAnYAQAsJjFPn8gR4wWrrYOt/RnF78G/K6hiovGyzva8MABVFsIFOxT77BHD7i6np5vWAikisLRmIzp46BWsA1BIzwSJ25nOoAv2Hn9kpc1SWwErVtTBl1mHWYNvLr6R3jFb15Wdm4uY4OFWHLPbOIuJWJKq3lj57ytbJUNWzyT8tgZEFQMcu17gMiJ5oxyoY2oeK+DiZsPnXrjR1winldHlAKGS2XwidVUC2RLZEGnimw8XKlAA3k39QmG7TZzcd7X0bms/l7jX6uzZp0jLWeUF8nKL1e69Nb9Om5YgSEr3vXgHdm2F29DqU5ime2FCgjEgsBhJMFhNuiLoIgSlzmsAQRz2tnekHQPtJUrqP55Udx6xzazMYCNF5D1qeTBq2vNfjlkAv9u9Ly3osgRvVgTgdL0FiOiClMfPqw6TLe5RSQKcUz3Tl2LcWZ9Zzr+rPkbryHQXUSufm1YKLi5n/E9rAzgW7QkmH+yjtnp0HqERGSt3ayvokgxHcK8oUwHizfZvZLnD8jvpr25dh///tvXuwLO111vest7vnsvc557vKii62JbAUECRQIIShYpBNxZapVEQIODKkkIkKV4LNX3HADlUxBTjhksQVgiGllL7ypWIL48KgVGRklbEjiljGUoyxZGP4kDH+vgg+Xb7bOXvvmenuN3+s9U739PR9Zvbs2fv5Ve06+/T07unp6cv7vGutZ33uV+EPZUkaxSbg0g4ThJL1MBrSoqrElUG8i0piIRwvv/l6ajbQQVgGYS0l8RDWzUwkRsnmQyxbAkncT7hXPmKx/XjT4nsdHcRmimEejoudb1tOZjXiKHyMPLdZ4qgQdXmK9bEJTmKhON/7Yl2fFznheZ1BRjjvSsclzEpv7ItFNcP5FUXD7zlBnPaZXZ/eGx+pqEOkMIHY5b4sZitcTg2DaBpUdfDuPbash4sNYW2lXCdYlhfb11mw86/eb0Sst0+Da+SuE2qhlipdqvFD+B6Ds1xomry80HM26tHwMkRPFhd6/a0WlnZ3Ub+/UYcYE6f71mciJ/TcaWJVblBKyO2DERkygOu4GTrrebEHp7KoxnZYnD1EpIhCbDxoLG0mdCkf+tBcN6uz1K51Uzjo4QtOS00F8+XoRtXx7DoIBeZZiyAKnem9bFr3RnHLQMden8y3rYYBSJbCzx9s9u948d8A549rCs++EfuOfdYu3MqEz9bmAFeNnmw5okXb33FqA/IwcC8XosczHWCHwX050pOZWYAz8egcsKoTEOVBmNf1nSuEhUdRd1IdEJW7q5fZEi6VBXklMrLxWjnFyxXrRwmASl1RutLtLB6Z+LTomHpQ1zvy5dnmDLX4QgzlmTlqRUW9h0AHe0MJKVidPVXcYVJ7nOglmmVq7Z1bn6AhneYBq/uwlD2J9PjUDrS9ucnVRNpCPdKWiMmLwXxZMJTXrQqxYJXedI2NFW55ruKkek76aSEyyyl2Qyyzs9W241q2KnrlVOm654TP2OeR27l//rCpuuS40J2uOyIjIs+IyAsi8qnK8j8lIv9MRD4tIn+ltPw7RORZEfllEfm60vJ32bJnReTbS8vfLCI/Y8v/lohMbPnU/v+svf6mvXxiMp6tfhQHYH5vTyLGmuhJpYmkt/SUEIWopVI7ETf8hGLpyCIUYZY3z3TbkheRkmBWsDHz2UG67C4m3huuEC/BCrpNSEmpHiL8vW9KZ7M/8ZmmjdSRrSCPv3Zz2fz+bg5FXZQHYEMILllVqjUeVcexuFJPsVU3UzUHmGr6Wx5ScLB5bURRkbYWbJSDQAh1SfEEgNNBTDzF2swgTy3qkZqYr6l9AHR5GIQ7VzofawwRqoP1rbTH7c1vXAvVCKpzut2QgpOlmu65vNp8r+p14tz2/sHrZ09mxXfnrcfOqmYQ2oe1iOmK+rrDDDbWqaihhmjVnibYRihIn53VixifA4vL+uMUjkHd/SJdFcLB5zqJEQrYV4v6lDNAz51lw3cy5jm0WhbF81vbqxhHrOsJB6ST1UzO6GsNhgl9o6a+41lYjf42cZ1p4YRcM32mib4XwLvKC0TkqwG8G8Bv8d7/JgD/oy1/G4D3APhN9jd/Q0QiEYkAfA+ArwfwNgDfaOsCwF8G8N3e+68A8CKA99ny9wF40ZZ/t61HjskhB5WAPpj3aSgQbCzLQqL334YZzlXhmlb9Wad02UCwj0Bpm72te2bm1cLqAxHHm/vvMxsgRvXOY9XGhnHc67uTfAXcf6r+xdUFcP9p/d5e/1bIl3w5JAjDQ+FsADfsj+rTkIKVMYB175hAXBEpUolW1JoDhPUtdcuVButBFIWURFcquC+fu96roA/naNaSrtI0aAtuZllWEk0Rth8fHY+TcO4HkRW2W6acThaaflZf9yurbyqn1WV6roY6njDj7T3WTUzD5wvHPQ+pTSOiMUAxadHFoSKrUVykcuYWiRnbdNNZrVJtzV2qoqLpcyTT+kF/WcSUyVK1Xk8XhbipOqetFqgViGIR+yFkqZ0vdq3Htr+J1fOsrrbvXSGVsQufA4sWEVxX0+Pzoi4uSrZ/XGyvJ9331L4pY+E5RsgtpPOO4L3/WE005L8C8Je89wtb5wVb/m4AH7TlvyIizwJ4h732rPf+MwAgIh8E8G4R+SUAXwPgj9g63wfgzwH4m7atP2fLfwTAXxcR8QdLmiedHDo6MJ0PExttDHUuqyJ1s7pD96FmWZ5jnRbTZ/3QEPEQTUEDrcXulgYUXKjKl19wVgOKqEEfPOr7guQ55MnXAU+9DlJu3Hh1YUXV8WFmtuMEwKx5BngLaT8/nBWqr/8f6lxK9sDOlc71kOaVl16r9JYpWwYDFVEkKjx9tj3wqZ2BtqhM6KgOtA+IyoIiXxUirtqDqfzdOAd1riveAjlUjOUrFKllNfeUYHDQNjEQeucEYw7kACbqgodcazyyXMXN4qH9je337L4OYmNLVVs2iJGzx/T1kHaWLjcjEllW+m6rx8+iYFHPAfFYgmua97tNNNWJ2+CMlq70HIjN8CFYZGcpACmi0Vt/n9ffz9dpfSXWphpehU1TxGIyH1HcbNE4nxcTNME+O2lIieu1WdvXtudE3XEVmwjpGsq4qd2bZDvtGGhPca1jeQHI+eEnJMk1IiOuh9vH2CPwVgBfZSlf/7eI/A5b/gYAv1Za7zlb1rT8KQAveb+On4blG9uy11+29bcQkW8WkU+IyCc+97l6ZySyB0KB9CGY39+fiAF2NyYItSJ7J2+ZEW/4k0PnwPY5VD4veqCEou9yfVG20NoFiawGI2l8UAtyYP7Y5sLZfeDBayA+UxFT3cHlhfWrONA8RjwdEJmxaEd1EO4itUMNkY/Y0r2Cs5az+qxq89OoHI2piCRxmyIxNJXc6POT6jqh1qVswhCEcC02G726stnxhmPbeL6WZpRDX41QxJ/ngFQimvnKREcP8lQ/+/Re8zrZwjSERV2uXsH6uC0e6e+LR9t/d2UF5h5qQNE0sAu1I2f39WdeSotMZpqG5ZzVlJgxQjxRi935uYqlNhFTPt5d/UIasRTQQwxORXS7iZmSLC+LKPf6nKpxFgMKERS2E/Z1Mi9q5aq9qgJNUa5gcDCUcrPI0Mw1tu8mCNMxt9jVojutq1bg9f2ufZEGHWrgYksXlXhchGVxud+sB0JuAGPvfjGAJwF8JYDfAeCHReTX7W2vBuK9fz+A9wPA29/+dkZsDoVI0XthnyTz/d9cQ73KLoTBaJ6O27+mh9VQYXLwzLKWwuxemHEC8k1RFE2w7klT/cz5yr73VAv681Sdzbre55DEic5YBsehLqrfbzmqAhS1NGF2ORShl4VJMtUajfI+lK+vjSacrlQnI5sF7XlaRO6CZexG75gebJ2u5mhVPveTma6YW13EhiBDZUBad/5X90U2Z52Bom4it3Sw6Xm9IAGKXjwh6lKmsQ4hB5aPCuFx7wnglc9vf5+PXiwMBgD99/xxi7SUHp2hZq6p3mPr7bNiEOwi+05HpoYJxtV5DUVQ2jcTzdNz+wx1DU5NtKDccNIXA/vgyhic48pCru4+5GJtkDy2P81GNNR6wYTng4u7XcSqlHtQtb53zXb7CpDq5bO21bftVu8VvciLwn8WiZ8+gsLF8Q4zVsg8B+DvWJrXPxaRHMDTAJ4H8KWl9d5oy9Cw/AsAHheR2KIu5fXDtp4TkRjAY7Y+OSbJTGcmQ9+BXYliq6/Ycx2EcztnhgEoHhTxxJqPDbQ2rqPpvnNUCb7DzTAUelfFXrbUDKKQC14SNALAnz0A8qyHgDGuw/47is2ZyUwZwr8hbSvsg4R6Aoue1KV5bBX/l1PEpvp3q4UNrGxGv83xLI5Kg6BQYG1CydvArE6Q1miHWoJTk/dF6lud4cR6FroroF/zfW29t806x5WGqcFqWSy6Mzlr7ruRLVGf3tVClmmEITRGvPck8PCLlVoNmBi1zy8CzM6bt9k1MAyW8Cuz8gY2BXM41kOiKyHit34Pq6nbp0ta6FcV7JKTuX71IUW06XOvBcR6wfbrYaAfPnOjeUJJJGbWvDKYWXQdd4lUBPlSvWEwapiejTtWwQyltWi/6XvoeZ76tFkc+8waxM42z6cmyo198xRYrPSaOmTaIyHXxFgh83cBfDWAnxSRtwKYAPg8gA8B+EER+Z8BvB7AWwD8Y+jd4y0i8maoQHkPgD/ivfci8pMA/hCADwJ4L4C/Z+/xIfv/T9vr/4D1MTeAMEOapc1OLUOYnu83pWzNnk+VdGkFmBVb5pAjX9vvIK8f4A/lEGd9qDfxaBk8DNneBMgbakyCO9a6aFwFjWRLG7D2fI/g+HYd7nnOREr5rcJxCjOjoe9QPNt2cwrdt4sNVgbJaRGxyDO1IS6/Xud41iRyXKL7FWpL6j9QadY51K7UDCyDWEjOivO2fP6W97E6vtpqXlhT39X0XW/NPmeFaUForlk9BtFEJ1UEWjxerbnqIjVXwwRag/X4a3WyIqTxJNN+qWE+L8wGtorlS8dweVnzQcvIbgNL77XOa7pDg8wmwrkyPUNhMX8AGqPYZWOHtLgHZys9L9rq59ZiYgdx53M9N8o1T13fVdKQ8tf3/pXnlqLbMsmXpfqxJNmM3EYh6uQ3j5P3xWTKaqHfJyEnTqeQEZEfAvBOAE+LyHMAvhPAMwCeMUvmJYD3msj4tIj8MIBfBJAC+Bbv9SoUkW8F8BHoI/QZ7/2n7S3+DIAPishfBPBzAD5gyz8A4AfMMOCLUPFDbgJBzOwqZM4e9BcxkaWfCLDRhb6JQzhdhVkwQGfC0mXxPlvd1wM1ReE3RY6H2f19iK3eXa9XJUGTDk9pC/1JjkGYYY5KAidL63uQRHFFiFRdywTrgndxlgZmxeOhMLnpb6siR6TeFjdOTKg6AGlxrYkNAkWwcX5uTJ6X6zfSIirTFulci4/SCp2NBG3d2gaaZkoQBmHZSj+795qaOLtnUa4Uox2ZVpf2XZXqQSbT+gG1z7FOgQuNVMvn7gpY36PWxeUDrquxZhblWfvpWfM2wv6PFSHlCMqhaDpeG5GNSm3R8kJFZ3Kg7vV5Bjx6WX8/L9X2dT2DxtTzbG1D1reJ7ddcaR+Cm6DXZ1S41kNNE7D9fArtAFgsftrw++vlWvaNDS/95w3rfxeA76pZ/mEAH65Z/hkUzmbl5VcA/nDX/pEjESftuet9uHhFnYHaxIzYzFJ1nTBj7mwwth4Q+fr1943PNh+6YTZ8qwHnkEGDueuEwRBggyIrAN9HalVwH9sYCPdxaJNSbrm5RJUHrNmqGFR2EQSNcwDiYWLmphWqRrb/mJloqKSgBbaa/kXQuR5YGpf9nnvAZfrvuu9Rg4MZoDO2q9KEQhjjeV9ss+wuF/YlREqiqKilKSuZ8jhepKjV6crJD+Jj/f+NF4tUrnXZhAm6tgaaQHF9uQTIl0DurEnmY3pMzp8oLH1r96vl+rl61fob+WKwHjLVQt+p0BuqE6sf6er/UUeWjhtY5nkxA9+27cWFnmvBZUyA9XdSZ718DJq+v7L1eN3nPNR9IYiYbKXph8FxretaiKel9MjSca1zH2uj7Z5fvdaqVuXBmKft0HjslFVMyE2APnxkPMlsNyEDABcva1Fo1ckJsAGirx/clIvLt/Lrr6GJZF1UpUnMbP1ty6C9rj8JoDUV61n0HaiKGAD1TzJRkbgWkmkxkIsmRarYWthgc/DchzxXFx3AitNXPT7fDRMyQBGpEWCdjub9Zo+PrLTf5dz6ah1MVCruz1FJ2as4mG1YOAdCulrp/XKbiS+ftOE4S6Rd4avn85bwavrwVcQGyqWZ/8hS33K/XWdWnrUuN/Sse888LQaSLir6kQQnrLMHwOUrmylmEulkiYtU8F09Qu3FG8TMxvEsFalfC3Z8koFuiT7HZg5kzeshra2cFlsmGB/EyfEETZ7Z+VHBxZspWlEyPI1wDFmqk23ZyhqpmqHD4qJd1EZJYS+f55rqJ6Vzqa+QiWcqTiKLrLqS0ULoH9W2D+X6LnJ7oWkDhQzZgeA8M2TwWsfyUn/m94tZ7XLB9VDy1Y4uXDtQFTN195jG2eeWAUS2KB5so3H1A4WsVKwfCntD88M64RAertUHchT1E3J1rK7MxazjIb+PdI3rIFjXrlOfFjpGd6XvYKuYv3LsXKyN/ILILzuYeUAjkZXjFURyvio5jlkRf3kQuy6cLkd3Sse269oJvXJCdMWHz7YshG2cbKd8uUrjVCelUywUR5cirev0uGCh64tjGiV6fJaXwP0nVbTMHwPk1SLtdXZeDOYmZ5YSulIBVJ1QuHqklsrr+9kRckB9Ci05HfI3HffIdNm9js/1GszS9vS0Q5I2FK1Xa3JcpPeKjUjknr+rbAU8eqVIq5zdK96nTsQEG/LQmNTnVoNVOY5Zy3UV7qmhGabPLAW3NLEREIf6h4vbnAzpOiwcA5NbwImMCsiNRMRy1/fUrPHyVX1Ize8Pcwire4hVZ3evkz6Rmer+RRMdlLVu96p4WI4hrovGAIC3KFaqD74uMQHUPwDDQ3pyZs0lB4rQYMXamiJjA/p9ujIdmpB+trJO5lh119CUz5+qjTOgs/beV3rQwOpUrOlkOfUkzM62njuV2oOpFfyLaApYnKiQ8Faj5iopnFLpHVQ3iGr7bkUscpW3nDq5bTfSgV48B5YPgVe/YAPO+/rjEhPHJfODkDY2sYLtxcPK9WAuctGkPWp6SLKs+xqo0iVShqRd5Sa6D1Vv0kY8LQTxalF8B3WHIrZzPDx7hton1+G99VRa2f3L6/kzf1Ckfy5qnPOc0+PlHNQ5AoWQ9ubK1xVli2d23Oeb4r8p8uPzmuvLaf1e+ZrsFHhUMuT0oZAhuxFPdk8vK5NnNjDr+/ANhdIVDn1/7npApItidrmO9f7ZDFqXiFn/3UiBFpo1NpFnuu2+Vsi1PUKMbAkkZs5QV4ReJRT/BxewJiQ4SZ2QiAmIqDNWttJjt5EiFlXqYOqK+xscyyQygVqO5AywHl+ngQGA6EAqNLF8+KIO4hoHU13/r0thatmXvtHXPLeoDDSCMbuvqWHZCrh8WVPJpnM93uF8SldaFO4tojM91/WWV/q3gTAjHvqlXDc+x7rLfa/1ffe9qC5tt43VAus+JYcm1IzEE4ti1Nwv6sw9RCwdNfQP6rgn5DnWaV1ZhqKWye454d64IcxFJ9VCtHrV4Do3qVg4B/Gy3k5lv6tOfmFSQ0T/LjKR3jVhFZz81uK+JrW3yRqf3BLkNJ+He4ZChuxGPMFW/v1OhAYFfVcfMPjeKz2UUp4DzqId4V4THp6QIn1gSCpWiPYMNTMou2TVvl5Xb9FAuRFjE2s3t1mzSItnlkIk3dsTp4PPU79pRwkwcTooCulhAqyVh6sIcxdvRsiCe1/AZ7qdaqpNGecsOmOpYN4spOG2z70o2Zx1HpKyU123q4AfqL/UQ3ojsHlrKaf1ZCl8PIGkSx0ETs61yWWeARcvaYpZKHbOUm1uGTaULvRvZvc06uT9ZkPN9Eq3d6yozNA0qcm8PYoTxbrOEJfJ65io9173KQ1pkw338aZ00pBiJn6711GZ3L7/psF81CD0QsF+bj2H+ogB761+p/QdrpZFPaFAz7ksVxG+ugIkBrCAvhhESZ8vwMRZl2Nf1RSAkFsGhQzZjVDUu68c5elsWF3MsQrd+rxvPC0Gl9UxkZd+KVx1DK0bqmvWOBhnjUvTYXU6W8LDoioCmx21ZXU21WtkfOO6m0gUAe5cjQ6kIuLErJIBrEX9uploEDmrwnAhHLNsaWLG8vKjaZFytrL6qrTPQLZ6Xpeu63iCYia75nqvm/2tRhDDnzkTVlKqg4EvvuPagWWy/rgeDrh4BX52Txuq5qk1B7zS9794WZ3MoticutymoMpWOrg9f1LPrdXV5oTI8lFN8f81MeReWm4S2dZIM57o+dDn2k1m7cJgDGvrdYsuOktzDEL68pX6v4sm9RGZ9b52pGylS01ZbhMhTeYGISK1sn5DkcOG/0Mw91hdaVQGXiN81XPGZyqUQ13L2gY9KiYqys8TifvfY/s8C5oeVTfBpY6QPUAhQ3Yjz4YPrNuQaNhMaNNN+pC9U6Ok+0ETT5pnyIHxIgZA7+nSyLped0V8Ogv0rfh6jBjKlvqQX7vv5DWfPW8XW9Nb2IE6pJqF4x6iJuVBUCjaDU0hPYri/mxpKSiliEc5pS+t5PK3XqNmTCA1qZDelwZvFcelupny8uxvECshfU03UhIVIcJSuVajBK3Rw2AYsFoAqwX8/ad0F8tRFR/EzGO6fjLffD2wvND0udk9Xb+8L1evArMHOxpsjCBPAd+jY33A+3734MkMWLSlLEnhzjWE1dJStKx2Ldi0h33LlkWUb+021uOYitvdeKDLYUzfqH5xqK8Kz5K67QThvni0WZhfJZhubFgx23WdppVdGPDsqkurbiNKdJ/3LVTJcRDQtQwUMmRXdm2KWSaZWXHxHraVpdhb75WhREm/2pCxZEubYW15QLses3rBcapT6DSZBPRg3Uix5SEP6PbrnNAmZ+0zzadMKBIWm9UtR6SiqTrVBcTSTsrndJZh7ewV0kuytF5g+FSFbdiW99DoivVJCefA9Lzydx19TappYGIFzyHH34mKhbhu5rzUz6YvUpOC9OhF+Pn97dtGbva5Z49bClmu+1JmZQYaE6upqd7Prl65/shMng6rkwm9efqsF0/N/S23ujgULllxMnxQlC63J2zKzSnTxfhnRDLdfZCW9HBRbJsMC1bfTeIvD46Aeb+mrB7b57xUhUvp+2xySSvve5fuKdfjZSkglkq3WqplOSEnzi0dIZBrIVtZX4Y94CIdsA4VHm2RF3HFgG1f9KkPuRbx1PaA76gzimJspDh0vpUrHK/6Fo1GloYU3iOe9EjTruxzMr39fRBE7NikJQemZFPERKVolYt04LkeWOVAmm9G1bwJnPIBz3PAZd2Dyur1lK6KtL6tLuPWl2TDfa9GjAI66xxPsHUS1A1Um07t3BeD5nLRdJ4DVxfwkxmkem1mVuQ/u6c/UWJpTJXIi4tUNK+d5UosL8yo4TprZgbes/oO+OMEa2et8F2PFQvpsv58Wi3MWXCHCRDdsVF/5b1fp2JKMrN0rx32I7j0dRFFAKKa3Q6TD14jKOVt1V0rUql7ieLSNvLSPbjn8Qn9l0IUtCzs8vz2pOzeVZgiSCFDdmBZKWrchenZcFth19HDJoT9o3igE1rjBrvT3uJrataWr0p52hWq3d/LxBOsG6r1wUVFdClK0HoMndP8bl+Ti9/nu83SIsUsis2R5w5QdmBy0faAOUsLm+U8RGEqqXjpwiIzluoZRdtpJ30eeFFUpPOEWfsgeqUiKvukb65Xyc0admyjzQsF4M8AAEkXSURBVI2NaeRoUYp6Zisgi+FdBKmea4sL6+mTqCBxTt3NyqJ8cQGcP66RmaoLY54Bq5VZlB/JAOAQ7BLtyNJ2Uby8UuEoEWqP2dotz+qX4PUY+9DLSsZPYiwvgZf+DSACf/9pyPljGpkb2t8qS0vHKOyPnYPrOrG8W6wNiTqG/kzV/dhcyVbpkYYdBL+Lgcgm9fLwb04hQ24FFDJkHFm6aVu6C7N7w0UMoA+H0POh7u9DXnKWW/52w2xxX/qkWF1XE84caMwryJbbkaOQvx72P7L6ha7jUU6ryFYNjTAtJSVdojH3PdR5dL1fmqoYmsx3G2idGs6aifq6/kk5IDMUA8K8vrdMuiquBw8A1WaUkR3XkApmxcuXpes4TbfTr6Zzfeuq5bbPe1i7bnTxa1mvvN3ynwTHtcp7iwBPvl6Xv/Q5Pdetqa6Hh2y8r7f6F1HL5WSqrmaPXiq2m1mKVDQBUBNlzpbXW6d14+1yO0Sst7qRyRmQRcDaJlY2a2jKxJaOtsN17334rqFC49XPw8dTyNkD4JXPDdtY2M7ZY+NrBAGoiC/fj9uMTfJ2m/ywTm7/Olf/VSRTuy+7+uO5azSOkBsEhQwZTrDN3AfRRAdIY++n4eEQ6j0AFS6u2hjM+tP0SQ2rw0XdD7Jq/49DEneIgqw00HXRdqF2ZilBXY5m1Vn3urSJvoYPfb5jATCZ3s1weTwBrsopZVa439RfI12YOAzRRnMIyzP97mVWuIHB3AXL/VGC4JndL7ZZN8Nbjqps9J2BiZvSd1/9e5+3C9i6QVhm0Y+1s122bRCxsjoxOODe48DLL+jyy1e1JqbWoc0GuWePq9vV7L7WwKw/Xt7+RFxdAtN7w2p6xnJdEyJjWRtDtFz3eabHTGIVAhumD3Xb3G1Q7ZfWAHWjKWuoBdtlw/mOwtI+l0sKu/mm58SuVskhkt1VV0gBc0sQfpegkCFD8bmmYVzVOAANxqx499GvYcPtqSYXP+CDmKmb+W5hbCPKQ5Gl3RGOdFEUeOcNYiWkcXlsD9DEbac1pKWojIs3ozxdhH4RjYM0dzsdyvriLGUsFBj3MYzI7JjCameCSM+z+hTH4CBXZuP6q5u9tX9DhLNMtcg8r4nSBFHq/Wa6kEezYM1XJaOImgafPgeWC8h0Dl9Njbl4Cf78Cciqpgs7PHD5EoDHzcXrUfH5xXUL6MXD6yn+z9Nuo4Vj4iIzR6g7xiWyFGs78QkaTB92w3ur1VpeqFC9/5Te+x6+qMsvXoafP7aDh0zXX5o1c1ivKvLLdWQ52u9vQ3eyLHziiZmHcGBL7hYUMqQ/3mtx/15EDID5IWY3pd3pRZwO5IakmvWJ4rjo+qIxgA6+0sz6gyyaH17ZsnswFMRKNToTNaXSuULMDJ08bMqZh2gK010VMYHg9tRW+1UlRGD6nH/LC60vaVy3Tsj0FfCWqubMtCPU6ixNkHlfkzbTY2a/9vwV4PJV+MlU6x+qPHoR/t7jkLrIsfeaFnvvST3nwv1MQtpTR+3B1avXJGYyGyAP5LrShsLsf9/7Xp5C1UyFLG1ON+uDz9XA4eJlyxYwS+0nXq/C8+FLwPIKfjaH1EVWumq9QgolXBGNDH8SmssOvV47UzKBfpZkRtkpjtwtWONEIUN6Eqwo91XIPj23AuJ9Pmxd0XujjvJAPaSa9WkW2WcgJxG2ahKug/RKxUyj0JL+aRXr6IzNcNY94F1ks8Ujo1O+4YE/md9em+UhiFgh9YUOEuOkfeIg9J8ZIqLrGleW339r/dxSYoCN2eey3XJwZPJ+U1hMzopzJdj9bm7ceuRIUbMDmCFF3rxPQNEMcdEQFVgutD6i7tjkqUZjpueFUAqz2VGskwRtLC60ee8hncxCXdkQvLlShXo2Fx/uugq9kMIkTlc6XLXGClCRO2LywodU2eWl1jqV37tcJxMEUm625LWR6R43yLpo5C5UU8hCdNtFwKycWmtCyVtkJ0tLabyi20mig0S6CDkVOHIg/QkPyF0JxeF7aRgTEHNFati/0B29Suhf4hushfs4zkRxfQ3DdZFe2cyouVsJsI5MATY73nNbYWYxdEmvItgtfz/0XSh/F/GEIqaMi3TGX6SIZtQRTzVdL26KojREOkLqWtPAzDnrqO6KYuEQqUiXm7PP1VotqQ5KKz0sksl2PVWWjehV5K0RY8OJffZA931xAZ9Mt22ZARUj4raNJfpMrvhrcDJb2b1pyEA/XRSTTfkCwEKbgSYHHOjGiTklWvPWpu8xqbgQhgmTgf1ifLrU6+Lhi+0TKouLSp0k4KNJjUV3y7UC1AuwIUjpOpJgeGBppPCbvZi2/3gzKhean4bnJ9PICKGQIT3IUn0oVG1Jx5LM9lMXUyZuECoAOm2TM3N7ctieses1qNljn5qxrBsiVo+B00HMkEGiRDqIqtInetWHsuPWuikkH8hrQlF+utz8Pp3TgXO6tPPdBqx1DmbeN9twe2jEJzTjhABiBdF5rlEUCdeMRWKzHIiA7lnpyve4cWkEE44aV7Y2pe3EzAtc0UcmXRVvJbJ5Dd57Ql8PhfxRUm/LDEsxy9NCOAL9r+fMvoeDGYzZoBU9hEyIUNRFzNOrcc0uh7Duh5QVP2WSmohrOEcH4LMUeOXz/evHyjx6Uetntk6DUG/Y4iTWB7EISWRF/c7c2sJr+yC8ByGARcX57KSQId0sr/YnYkL+fLlD+a50DbB7zfZ6LTAeOliPJseNxqxpOJbh88QTq0/occwjt92luimiNZZ0Ubjr8Ea8TXUwmFgtVHChq34XWw5msEhKUtjeCiz1yP42DAaTec33HW+nTfW6Xmssmjeo/669LxVL2/1Bwu/rprtunRInAnhEOsny2JcUBiT3n1LnsvKAfvHIbJmz+ndfXql4C4PqIfelxaPD1sv0nSNZLZrTC8N3Xo2IHAIXWdpwWqRDhYa6W+s6wPXbJ5+u9Pu9eGX8JFiIMDa9Nmaz5fQ92bNoIYT0gkKGdLPPYrI8BRapPuz2QWim1pQa0EeYlGezQ53IeibNbeapr+svbbbU9+yPcgzC5wqz+30MDhqP1wGiTtnqegZXp4i4YmAtkYpx53TQ3ZTat3Yws3RIEY0w7mO+oHdTv8qbpSvd9zyFX/eDkcLSNs/snvDFzb+NJ/DJHCJ+c9tuailT0OOxuATOHwDx48D8PvDKF+oH9JevasPLVU3xfzla4fPh1/LVq8DswW7d45voEx3Ks+4aqdVCz6frMNPYpZllDT5daR3MmL5l8Uwj0gIgnkIaXdZaxMdGjZho+m4QL3fdnIQcGWkW53cIChnSzRBHlr6EovFdkaiw9ZV4c18bXbdK1PV+aasBaCKe3ZDIjBHF1lyy9IDeMDioic5IVN+MbV8pZVXostPNukaiVPQbTYGsYeAaRE4yKUUy9kDPWWYPqIV2lul1E0/0b1cLYPUQeNRTVaVLFSZbzVcjaHNQaO3CxUvAZAaZzNSGedLiovXoJfh7TxSDWYmA+bleu+UO7nVuUZMzvS9Uxcr0XMX48tKiWHu+V/aJPvQSXr5wBzshfLpQcdqWShZPi/Ns/d3Z9bK4LO7L955s3kbT+e3MwS65p7/v4q5GCDkIFDKkm30VYkcTmx1z+3MsW3v22wN/Pejukbom0f5ch7KliZklDpg034+QQy0Ns7mpdSmXikirNhEF+jUCHcPkbK+ztreKLIUWAcfF/1dXRXQwW7RbgkvPHjTr9cev43Mr2A7RldWimKA4f0J/z9L9paaWHcriGXD/acDFOmsfxcDsHLh82HztP3wZ/vyB1sucPVYfba6rt4sSEyzWADYxt64wgJ5adKi1T9II0lV7DZn322mBTdzgAbjPUi3CD32qkhmwvISsLuGnZ2ZxXPpO5g/03zwzsdLDta9PymAU23MqsXqXEBW9uceOkLsOhQzpZh838WSmD4bQX2JfD4bqWD1d6oNIejzg6wbuXdtvI1sCcQT4mkaS10kUdb9/aNIWTyz9p6EG5hCNQKdnw21l7xTmapSlRWf7rTqvju9kiECvO8erKU1N10GeadpPHY9ehDY5nfffl7r3dImlfwFrN77cDAKypfYQSZfAg6fVgezB08Arn2tIy9KGvv7ek5AgYrzfTC0LxzlKdHvxpIhkhIal1fuXs/S/5dW2te5OdNW3+H4D9LCPNwjvc+DKapum8+JeHGyV7QSQPIWf3wMeflHrkQD9zodS50oZT/W4RImK4OAuRsipwPOVQob0YIwrVzzVAfXiSh9SodB439RtM7OIQ1uqR590qTG1L1no/XAkITM5GzYbH4Rf3XE8REpZMqeI6SI0kQwF/E62v4emHkguAWo72rdQ9yD0ef2AvS+TOQBRd7QhOdzOAZNza7Y4sahhWp+G6hLrD2ID9HSl75VMNY1oudBUM0Cv42CzLE5FzPJKr5XMbI6jRFPFzp/QfW8yomg6JlECpC9b75z+H7mTVTgPGhqD9jFOaSt0PxYvfrZIfxQHP51B1udz5QDmuX4vj14c/37LS/j5A/3uo4nVnd0scUcIGQ6FDOmm7+xuSB2DFA0VZ+eaY3wQh2LXnMYRltel4PRx4HI1rk03ndh6vwzpth26mOeVgbEb2tejB8n0sP0sbhOxFSi3NaBdu9GFCMIEWI5I4aoNXGTmMFhqZlkldDs/e7ywjLZ1ZbWAjyIVFHmuKWCXVqwdxSrWYD2PQiNMr3Uckq1UoERxw84pYgLERw44f0xrZh6+CDx4CpjMIbMaQxGf6zG9uNgUR+mysLEe3VzQjAyWF8D03n5qAMN204WJwwpixedph5CJhvVqOTTqQlY6Vy9eAq4S+PtPQGqOmyCHxwghFk/1uDkHTM8hTGclt42bNkFxBChkSA96pC5Mz7BRl7JOAzmgGHCue7CQVayHXZ+6mJBecORalyHEs0KwpYue0RQbSIZBarosBpjAfouXo1gHFaSbPNPUmq5aiyhWkWBi3fvMhKlGUqTvtddUS7U+F2S7n4lZ64q4xgigZOnm+RNqfnxuA++OaOeGW1Td/iWABwTFPvgkhjx60YSg3R/WNWNOr5F91rCUcbEaFFy+Aiwe7teWuVWERGg9li66EfVoPjcr7cXDeiOKvKNuUkw4t92XXQRMZioko0idym6QgCOE7B8KGbI78/s6YJFrHvj3fUClS30IutBVvG0g46zGZIcBSLYqBu19IyO7EM8Km+VAuuxIjXM6SKwKwcxqZ9bb3kN6mavpnk6aSVcdg22ng7Uo1vqCPIWPJlZPswIuXgaSGfxkVnQN9xmkKbUzLI7iYnYvFJH7XM+BvQzI7f7g4iLVKaSwhd5SYSDqfSE8GjeXFXbKEgFRBIEAzpp4ItcojR9wDe56jsZTrJ2zrl7dk5iR9ihR4z6bDfLa0ev68d6rKL96pMeja2Lk6hF8MoXUROIkT+HPH9P0siixayApzqcohoyOphFCThUKGdKO9/Vd3oGiGDb0rLjJ+LyIzrTprV1FTCBsI54AaUUc7JM6EVPeh2qTRAAq1noaEoS+Ot6Pn8led5AnvYjiwiq7OqALjk7OrYWG9zZovni5WG91tRkpiRL4yZnVjlnzSW82tc5B/Mjom0+1P0u6Wjer1OL0maWnRdb4MPwb6k6C2Ah2uaFvU+kj+7xIVQ3r59lmPchaJDcUaYe/SZfWULR0L5vdU6HjLOLkYtvnHepJnNXohGN/9QiYne0W2QxOj23vWSWKtR5tnz3AOvBl8ZtnegyuHranR1a5egjM721NnngRaMQfwIMvAWZnGg0k5C4j0h61viNQyJB20mV9+lYYBOwtD3wEY67ftfWwbA8u2ixtx5KlOhBZ7VnIOGtu2SRi1u9vtrQehWvPULEWjtOY6IyLipQi0o8oLsRjlmrKjYfOrgch4H0R7RO3KWLqyFbAZcM6j79ut+vYZ6Y18qK2B7kW2kdJKfJiA9woKupi6lgvbxigb7x3hyGBSHE8p2f6OVcmaK4equDy5vIXrJ1n9y1VdiQbBeS5Ro2S2fiau6gjyhDFJp7sfAgTTLtMLnmv50zQmOVoXROrK+Clf7t7BPfqEXyclE4DM35gxIUQUgNHGKSdOstKAOqWc0I1JGW2es7AIhcH6JcCFDPUQ9zE2gj9avyy32AlszqBMAgeG3EK6WphQNqJ2EBxB/er20aIWITIgjjrEG5RC49CqOSpHu+6+oY826xtCszuaw3CWIfAKIZe21KKjtRsK0qK10MaF7BZExciRXWUO6P3GSQ3MfS8cjEwjdWdLDS4zHMzopgV38cuVO+ZWQZgpb1JhoqZeNIvqhJPi1qgJre1PmSZHpPl1bYTWjwp7KcRUgKBEC1Tm+T7wKtfGPfegctXgSdfbyLUBAzvH4TUw8gkhQxpIc8Kp6EtbsGDJQzMg8vaod8rnhVdpkfhin4aQw+/z7DVAHMMGylzbcJPrF8MbzEAiujK8rIyQMx0wFZuGBmEDKBNGyXCFi7SOph0BSwt0jI9B+49YdsaImRKJ1NoVlu8kW4rdDX3sLS30jrBTrt6TrSJqbxiqTyZl1LNYMcgHKcwYLb+OkEYN/ZW6UmI1OwT7+snRMIyl2BQmmnfCITIbgX9oZbl0cvmNFkzSRWc3ZK5NmWtY5foq4ie7/PHLJ3uFjxjCCEHh6MM0kyWanqIRFjnqK+WhVvYsZ8ze7F0lsNFYqpkK0vrGima4rgYQA6tW9l32lxXdGbfIiakUsnNcGAaRLbS7uNNvT62mk+W/n/1yPpdxBYFKQ30k6kei2ylaUVnD4BXPt+/QSKw3dMnXNPrCFGkdTB5Wv89r2cDnTkDlsgyNLtMuc3IQVbZfpzUN7RdryJHLWJvpC1amS0H1KyIDuavo89JlpnTmqXWXb4KzB803y9azi9BDj+030s8VcOYs/sQ9pgihAyEQoY0s+52XXGximKbqL1GEVDHkAHbFq6mW/qh8eqcNkbIlO2VgWF1K/H0MLVM2QrrAWV5HyYHiMSE/h9RfFpCJs+0e/lY1Z2nwNK+u1KqDaJYi6vzTIvtp/OaaIriJVLRE9bPcz1/Hn+tBvfySgQm2G7nuTr7Vs+dIKhCHQWi+mtJvNV35NB0tXAYPJDlO56T9lluWsQvOK81iZnVVUePmSBQr0mkLa+ARy8Ni0inC6v5abjv9OkVJaJpkLN7wOycqWOEjIXXDoUMaaG2q7XX4uOgIYIT0bUKAnvfselgIZpx3fsMmADp6IVQpSpiyoTISNXNaf23peaY+7BS3sKXrJ6zolv2vutiQpTi1G7aqwU6RUyWoVd39hCVCt+nF61Bmd8zl7CVzqRb93pcvFSYW/zrX9ranDx4SrucB1y0bRcuKKWV+e20MkCjZI0pk36kG1qPdYLQukmI6OC8zXyh2mNGpIi4BWF26PPc5ypiyrVWG/t4odH4MffYPNPPV62PkgiYn2tq2vSMzSkJIXuBQoY001joX1knD05g0TVGaAaKgcBBBvMD6NPEMxDPrHlgD2cyRNt9Y6LJ5sB0H1bKbfuQzIqeDt5m4fdGGNmekJAJdrSdmPVv17UTHMAsGiLea1+NPIUsL0rvC8Bn8Mms/Vyvpjm5SCMlG59Bmge7gKWWeY2SeQu5lM/BXl+XKyyhw/p9hMwhm+3uQjw1K+fKdR4K5UNdXrDRdvH1CvR0BSwvbPLDbzqeBfIUcGctkaUlENdHnkQEfjIvhMxkrgJ7dg65aRE0QsjJw7sKqWdoxCK3Xikhx3lfHa33RUj5OKaIAfoPWEIkRaTn31jfkSBmXFQ/E76LlXLX/pbTYfbtpBIsWE/NftWJ2pR3EY6bc4DEm65hHlanYteYC/UoebtOCEKl6bvYigLV9WGpmSzYSi3LNwVbELMQFJMNovVhVbHifZHqNpRDG3SMRSzdcpmWzttpv5SrQ+K9prYtL4tlIV2xrtfLcmHfY935mwOuJWIjXuteZufA7D5Txwg5CELXMlDIkCbCbN1Q1q5WSWElm66wp8r8giEPxiixwdINEFe9DoMNMMc8/LMVEE1ttrploNeVkjaEKNFZ3UMOVkR0ZveUELFj3KMhoHNmyJAB0jGoz3OrY+kQosHtrPFBV/2+KidniB5uOJaZyUebCM7TQr+soxMjxUobod7nGps+9mYyK4T3TRjEB8e8unugz+ojSOlCXcSq6YbrbS5RHxkXyGQGP39sM3WREEIOAIUMaSBMBY8kraQ4HcsU4NipZFXCDGjobg6sZ9cB6P7mO6Z+CfoNGrMVNK1nh+/HRbs337vV9BzIhb4xfQ5jX4vb8J2kC03tuXxl+3U7Bb04Hei6GIgiSJ4BiCyiVEktq7ODbqLJ7WxzR6xAvuWcdbFtp3RPusnnXJTcjPod7/X+smiy0QcASy9btERw68iybSvmeLpOmbvB3w4htwZGOylkSBN7TdvYczSmD85ZEfINEjFRXF9vEEWATLAunE8mQObHRUqqdTGd5CpixkRnkml31/G7TuSAPoHAavTTRUU9TEnzwmetbl0+B5At4RdX8Hmm9s3pqujREVIsowiSLuGjxN7bI//kR+29Y+DLfyPkqTdA4rgmbmN9ZSBWI+ebB625pcLV1du5SAfCwVDAh6hNSD8rWU2HWpzcb6Zb8iHeTGi+2hSJllhTwBYLNYqoY/FIbb2b7qOhqWsy0UgwIzCEkGuGQoYcnrFdxscSTyzKcQNSyYDuuqE8A2JXDDjTYGnb0Eujiaa6mD4Mjc5MZjr7StoJNRJdgtqjqP8JvUhaRWUxgPfeA5mHf/gi/OefB15+odeu5b/6af3l/DF1Plu/kAK/8gvwv/IL8Mkc+HfeVNR3LK+Alz8HPHqliKD8ht+J6MGTpV1zVn9jYjxKAMkLEeVcIdI2PpLrqIGSmxHluOmUm6+KbNu9OzP8uHqEXoYpTfdvZw1Fk3MKSkLI0aCQIduEB+HetrdjDUYdTQ/OG5NKZp22R9fmZECa2efpW2MkmskkY1PFQnRmYt9/w/cWTxiJ6Uuo7Qk1CMExrnpN5Jm5fvW/Vrz38BcP4V/+HPDZz4zfx0cv608dq0vg10rWzclE09Seeh1kdg5M5pD5fW2AGmpxSs5qtqNAwpn6ayHPtaA/W1l0JAJcvnlaeQ9cPey/zctHapu8bsabaPpYnFDAEHJMBCz2B4UMqaOtO/VYQl5/mMWNErN6Hfk+tak4chwR40ouU4Bqjjwbti9Ns57p0tye6psdrgmRlCDkookNnEeIyCzYaSfb7xnFOojhAKY/Yl3aESIu5tSVr1Sk5hmAXI+rz20iIceWqAnpkiLwaYb8U//PpgPVvnCR7u+Tb4CcP4CcPdA0wonWP9QWcNf1DWL61/URrL5XV9aXJrHePjX3jMEDn1zvbfFEz9Homu2iCSGkBQoZss2+RYzPiwF1GASFGcO6wfJQriUK46yWBaV6BUud2alDedhWi+DIzIGs6XOG5eXXg6PQ2EL+0CV+naZnTlks7N8dMSviKDKb7SWwvIJPU+0JIwLAFXUoAIDc6kzsPPHoX/Tfui8OeOw1wNl9yGOvAaZzyNlj1t8k6u86xXPieOSZRWHsPpQDkJZ7arbUCNrionmdMpO53kcO7UxICBkI7ZcBChlSR5++F6O3nVd+z4sUrMECyung+jqiMPGB30cidKYV1TW0DJ+/VuTkpShNS6pYlfK21hEhm5HnQGa/iJhpQgz/uefhX/hVyIOngdkZJLHBY2SFIXno12Jq+qyme3qZeAI8eEqbZ957Qt3Qzx+z1xKI1cXI+WPwqwUkmcJnWpxPJ5wTIPT6Wl1tLhevEZnGHi/SaBaxwWQOzO4dv/8NIYS0QCFDajhATUsbYXA2JLLiodawh7J1jqqRokMaFkj/FLDg6hTqWLzXmfm245YuVSi5HtGvKNneVu6B6Q3ph3FbcREwnQFfeB7+C88DKJ1x0zP9t24GfTIH7j0BnN2DTM+0ZmUy07+JE+3nkS4h8QR+tVRBHsSKi9QoAIAkatwgEavpT4IsVQHTJFZ8hvoeL0a6UpFc1whzeqYCJk72tbeEEHIwKGTIJuXZ/ut945bIQg2CbTeefRFP1cLYJSaWMvRr8DGSKB6YXudVwCUzjbRID5HlM/0crdGZaqd3YzKnreo1INM58Na3Q2b34MP3cHVRNEfNvUZnnEBm99Q5bnoOiVSQVKMofnkFn+cQcwKTMLMeF98lIy8nhvd6b6oTIBvr5RpJqUZrAgK1Sw7bkUid6yazftEaQsjNwPEezjsW2WRdfHwk+lo1H8rSOYgYQIuxc0AH+MBmgcw+sLqbMTVC8dQKe63fSF/ThLSjkL8a4bK0J3J4ZHYOef1X6O9D/7ZOkDjHzuq3icyK+et68tThPVqjMj4zG/UZMOVkBSHkNOEIhVS45rSyrbc/oogqi5gN8pKTV7SfdDYXlZyFBhIlxX72irRUyGvMA+pMAdjw8nrZc9GmtPZkIddGnaNb9fUy4R4Y/iZYuA+d8MhTSx+rcbYTZ0X8CQUMIacMi/0pZEgJnx+/B4s3d6x99rHpQzxpEDElggCIYgAy3m0tSlR85FfDXcUkqhd7IdLiBtQZhUJ+ibcbbyZTswO+5mamhNwmslWRvuUirWdzkU5ABIGS58DsXK/robbtne+/3Jygcc56wEw4ACKE3AooZEhBnt2Mget15+0PtW8OImuoG1jde4VID9AvGuVa+smEgVBsjkV9UlCCtXN5+3A6+AFY4E/IWNLlZp+fPAPQcJ+5emTF9Qe43sI1PJmzBxQh5NZBIUMKdu3ncorsEv1Zu4H1jKrUOYIBNsBxNU5p1b+fAllH1AgY5wIHWJ8Yc8i66YOdILhv+n6Su0mW9WtWGiV6DmepRVX39UgWdagLhiVRQhcyQm4bAj4DQSFDAuseFTeAXkGhPVy8IcUriqyT+ghCjUpkUZAmG+Uo6RBMue5DU51ONNFtO9ez2NeX+s6gR9NOAZITa3a5vOQAjeyXfQnkNjv1KNa0rpBaViZP9Xweey92Fk118WbtC7PICCG3FAoZolx3TQpgheRBtZR6wvTpqbLreLtsedwmIPqSraApWRNr7lk6nrH1fIlis9HNmtPI0oUNZDKsU9aiyL6fHEDUHbnZ2K9yGlxLdCaZnlbRr1jEqW//HUKGsIugyTNgWW1S6Ypmtl3X7pjs3ijR68FFus83IUWYEHJghLVuoJAhAX9NbmHirNg130zHihOdRRRndSN9Iw9j96MyQEkXwwRCLSWzhMiKekPKCKCCycXaD6SNdFVySMtsYBOORXApGyi8QmE/ampsXKSDoFODttBkX2SpCpDM7OddBEzPh23De712yy5hkdW9lO8Dnfuy6n8viieFgClzSpFVQgjZAY4ESPEAPhSR9Trx0Ad6Y7G6RQ+Cs0++Q4SkdX8aUjfWaWZ7EHVZaildlW3lqb6Hb3AfW69ndTNNkZQgvNrS2bb2qWy7XDIpYAEwuav4XKMnWyleGbC80HtRnHTPevpce7ykq6LuJW+513XScj26WN8jsvQxRl8IIXcYChliA+FDNZgMoqFDHJTfPk8tV3zSLxVjEK70b1UA5Cow9kFbKleWAZBu6+U4bp/FDelsQy2c06UWAYe6G0Y2yF3De73HLK+aJwKy1FIzvUZA131dMl0eoph5qvc4ERUZ+7hfBTfD8mRHPLG+L5X0MU5CEHJ34fVPIUOgs437yquWSGcJBSpO+kZ66t47DOJdpD+79leIEt2pdepGzQAmz4YLgzo6rZT9do+HjX3tEDHFG+l2hkZnEktH4WwuuSt4bymtJlA6DTCM1ULvGRIVAgjQf11cpKTtmyBkQv1LdcKBAxhCCKGQIfvEBMyYh3rbADwUx6+FSNq/2D+KAISanPJ+tWwgWw63Li4z5G/XtTml4n6JhtcHDYnOJLNiUMTBELlt+FxTJ31J2HtbPtYcIs+h16crUsc8NJ3skEzO6MpHCGmGxf4UMgQA/H5m5qNo/MykD4XwLbOkuaXARQnUvcvy0OsGJ1Hp4V83sM9S1KeXGelyXPF/U6+YNjIr7ofNwLY1vWwlb4/yANC6Gw6MyC0lz4DFxX7d7ILxBrBZ43eI6yjUv4Rtc6KBEEJaoZAhexIxe0jH6npohwF+lgMRigFFWbQIAF+yco6aBht59z7nGeyNeu3+TuRWNxPPgbRHI702QpTH59spbsmUMzjkdpKlwOISjZMTg3BmRx6uoZp7wL6yMsXq5eKJ/k7xQgghvaGQIcBqRwGyaw+WQNvzuyo6yuKrLXqRrcZbOfu8lPbVBzfM8SxKiloiAICoiNklrS2wnjWebNYaMRpDbhve6/1ntWeXw3U6WQOZOQuOEU7Bhj64jwEUMISQYYgAjvcNChmCnaYWk+n+BxC1VPYxT/sLFBcD+Yj0MkAFQV+hFiVA1vNYtG1zndaWY+doUGqpZs7RnYzcPrw32+MdhX8tXfeWkA47QMi4WK/DEH0hhBCyExzZ3HWCi0+Z0MTNufZi1ihREbOPtDIArSGZuoadEqHXbGhj6lyP9DKgaFDZ5EQmERC5/lGpaNK9brayWdt4+/sZSpxsN8wj5NTxXnu97Hp91NE30NJHjIRGv0lN40pCCCE7QSFzl/He0sqsgN457Trvc3PlyZoL3qU0sM86Bvp9cC1F8rumWu2SXga0mxiE1LO+NtMu7i/6fK5RmV0d1Dh4IreBjXRS693S10J5MH2jJQ3ruVjvocE22XtGYAgh+4c1rxQyJ83Yh6P3GklxzupArDFiU4pYXRrUhrOWt+f5LvnirvlPmwTIkI8+Nr2sLWKzFgh9P7MrBjdDhElqzfEEw2pwAKaTkdMn1MBkaaVBpLkX7jKB0oi0uyhGcWHBHERLMBYRWwYU92eKGEIIOQgc5ZwqqyWweKSD4hBBCY0jQ5+DbKUP1PB6UO7pSv82ijQSkndEE9KF1sKUBUU1QpHt0EjSRc12qW2D/iGlPWPSy1zS/nnEivujnulf5cjOUIOEPDPh1Fcsmjh0vMTJCZNnwPKyXqykK70/9BIyDohjbNw0Nm4JHuuZEZ/VCxgXmbtYvDkLGu4tFCuEkOuG9x0KmZMjXWndSp7pA3dVY9UbTSxisgSm9/Whu7qy7u+pCpJQAN63X8lWQ8kaOnuY1BDWbxpwt6WDDbGNbkt/c1JfU5+3pKRFcXE8MphIaRlQVQVZuhgemcmz/n8znRcCUZhaRk6QPAOuHqF1xqJvumgcj0/PDH1dQuSlCgcShBByNChkTgmfaySlKy88WxYD89WlCpk0LVI01g9eh4r/bzNpzzqTdaf6HgKpXPRe50Lmoo4GmQOcy9bby4rfXWTHZKnHqC4q1GQosJGXmgO503XrTAmaxN3anSyrf4860h5iMZmVLF0pYsiJki7QeW/K0+b7TYhI+nyciHGRXmtRg4AhhBBydChkTonVYnhxa3iAx1MVOOUHcojM9I3KNNWZVMnyboER1RS9V0WD9GhG2eVcFvo1hEaZUaLiJa/Jt68b7DQNYKqfzecmjCr73CU6spVGc/yAXP+qWIxiFYWrS2hTzUm/7RByU8kHGGhUr9Hgupgt+92vqlDAEEJOAsEpFPuLyL8C8Cp0cJR6798uIk8C+FsA3gTgXwH4Bu/9i2O2f/OPwF3Ge6298F4HznVpZL3ZwwO5dypX1uPiqtlWdRf9ENHmihSQuJQKElLi0pX2eMkanI6aPlt1edhu3TbyzJpT2Wfvm2aXZarFQrFwH7KsiCpNznS/pucajeHgi5w6Q0wt0iUQz8whzAT+2Fq9yZleR3HC64gQQvbHV3vvf6v3/u32/28H8BPe+7cA+An7/yg6hYyIPCMiL4jIp2pe+69FxIvI0/Z/EZG/JiLPisg/FZHfVlr3vSLyL+znvaXlv11EfsH+5q+J6NNDRJ4UkY/a+h8VkSfGfsiTJM+Aq1eBi5eAq4fA5Svj7YPjaX3KE9BcZF9HMA/oIvRNiKYN+zPpHqhEkwEpY3Gxf2npZ0j0Kks7xJeZKHRtN081wjK0VgiZNd/sG03JATggmRcDLheZkxMhJ07T/aqJ1Jpi9o0ul6GAIYScKiLH/RnPuwF8n/3+fQD+wNgN9YnIfC+Ad1UXisiXAvhaAP+6tPjrAbzFfr4ZwN+0dZ8E8J0AfieAdwD4zpIw+ZsA/kTp78J77U2tnSwh1SkdkVIWiEw0NAmWbDXMorcr0hJPdV/TpUZA4oqYca45Xz3PLZoyxSBLsjzFKNvnDXxxHKK4EEc+tx476D9IkgHNMaukS/3O+hAnKpoIuXUMsSQciXMUMIQQshtPi8gnSj/fXLOOB/DjIvLJ0uuv9d5/1n7/NwBeO3YHOkew3vuPicibal76bgB/GsDfKy17N4Dv9957AB8XkcdF5HUA3gngo977LwKAiHwUwLtE5KcAPPDef9yWfz9Ulf2Ybeudtt3vA/BTAP7MoE93yuzjoRolgHj9aX+zARutEwwOiCPdTnUAny42oxNtNS15pj+TObDsKQSGOJd1bgsaRcrsvZ19piGzvIMjMXX70UOUhfQ5Qm4lBxQV4jTyGU8oXgghZDc+X0oXa+I/8N4/LyJfAuCjIvLPyi96771I50C1kVHF/iLybgDPe+9/XjYfBG8A8Gul/z9ny9qWP1ezHBig1kzhfTMAfNmXfdnQj3PzyNLm5pRDcC0d6csMOX2ydLtGJOqwNg3F6X0jFV1F784cwoLh2hDnsi6y0v4NarTnNDqyq4gB9Nh2CaJqpIuQ28RBClhF+2FRwBBCbgOCkyj2994/b/++ICI/Cs3M+rci8jrv/Wct4PHC2O0PPgIicgbgvwXw341906FYhKdxuO29f7/3/u3e+7e/5jWvua7dOgzea23MToX9gZ4P62w17GII67rY6l16pL1lqQ3Qe6RNVdPoQhF/lJiFcrmAf7Ufi2EXA/nICQEXWS+aEfn5TaSLIuLiKt9NPLFoESGkE2e1ZPP7KmQoYggh5FoQkXMRuR9+h5akfArAhwCEevn3YjO7axBjIjK/HsCbAYRozBsB/L8i8g4AzwP40tK6b7Rlz6NIEwvLf8qWv7FmfWCPau1k8F4L+wdFAjq214vcutj3jWrk6o61uupfmhLsjfPMLJDz+s9Z1/BR0G7FOnZcEiUqj31aFNoPPvQmMvb1nZVJM6txWm1GaBiNIbedfWSM0kaZEHKrke2JzpvHawH8qOmFGMAPeu//voj8LIAfFpH3AfhVAN8w9g0GCxnv/S8A+JLwf/OHfrv3/vMi8iEA3yoiH4QW9r9sQuQjAP77UoH/1wL4Du/9F0XkFRH5SgA/A+CPAfhfbZ2g1v4SdlRrNxbviwes99rsch+pSYEo1u70+yZLhw00qmlS2QpaV1MjWurE19hISRPe76mWxQHJDh3DO8kLG9nMTADcSdy4CDkeIVJMAUMIIUfFe/8ZAL+lZvkXAPy+fbxHp5ARkR+CRlOeFpHnAHyn9/4DDat/GMDvB/AsgAsAf9x2+Isi8hcA/Kyt9+dD4T+APwl1RptDi/x/zJb/JexJrd1IUmtOGSUqDBYX43ofNBHFwMoGv322OzSi4Fy/aEw0aRAMedHZPkRnGve1441Sa0bZ5zN4sehQzT7l2aa4bMWpicLiEkgmh4nIhMFYnuvveU4RQ+4IIyYvGIEhhJA7Rx/Xsm/seP1Npd89gG9pWO8ZAM/ULP8EgN9cs3xvau3Gka6Ay1f199h6k+zbbtQlWmviXL90qVBg3rfOo3PgHgGRdIuoEJ2JpvUNMHsV8mf2ebt609g6jfbPmaWXdRwDcdas1LaTp6XjHWvUxHvrlTPmexVgdl7UwYRyGFotkzvDkOtGNNWVFsqEkDuG8J43zrWM7EC6NBHji//vHVc0lNunPXGZUOtSN+iPYo2y9O7OnUOPh+hgvfx3LgbyHseo7WN6WBpbj1Qy79ujMlURA+j+ugiY3tsUG95rtC29GuaqlsxYzE/uOH3uW3QhI4SQuw6FzHXicy3mP3Szt2RaOH9lqwFpV0P3q2bwUFf30kWUlFzanO5/EAp99ynLUPgxl3CxLutbD7Mu+q8RaOJMoJVem90rrKWrgymRomnl4qL9OxDRbbiI/WEIabvunUVwGYEhhNx1TsB++dBQyFwnq6t+zQ73jYv7CZlsWaRf9SFbbqZ+jRExkIrdcq6iJp7qfqdXPbeTb0aI9lXQv97NEIkpiZgo6ecgJk6bfF49rH89SvR1DsoIUep0TGQW7KyBIYQQYlDIXBd5Diz30RumgzCYH/uglwiDPIiDSHIyLk1uIxpTIl0AUdqcvta6Tw5Az+abdaRLK7IvpecJNtPJkhkwPSv+33W8XVRYVleXU8QQskk5IhPFRRE/IYQQUoJPhusiWx6uXqWMi7cbSmYZtN9Jn2jQgH0UB/Uxx/Z79qFJxASyTH/iGYCGvjMb669ULCwXAHa1nRZ1OBOvbmqri9JLVlwcUuv6ipCQslb+HBQxhGzivUWuWcRPCCGNCHhvxLqbHzk48VQHrUfB0q76kJqLWB3r/gyJRhJ8rlGPsTmafdPs0isgTVVQtBJpxGMf7l7ZCoiciZhKFOXs8aIYf8hNRCo9YJI5i/oJqWM6B+b31dqcD2pCCCENMCJzXYgAkzMVCmOiF7vi0J0xJk5Ty+KkcD0DNEjjc93vOu0xZqARTdqjMVtY7UwQUVvpZk5nJ9KVrivR7vVIWQ6IbS8wf2DCzY8UcHasWNRPSD3e66QJBQwhhJAOKGSuExFgMmsu+t4VZ9bFdc9/j1Jhui8yyILRl/dWtJ8BqxZr5TqGNoPsSilrI1uZs9jUUlAys2xeAantR5apSMiz3QZDUaRNRTeQyr8D8L44VkwpI6QeNn0lhJAeCF3LQCFz/cRTAI9wEAtmiZq36313JGjsuLqtp0ztvuzBuS1dWJ2K0/qjas+a9EpTt4YaBQRcg9jK0vGRlCzVY5VMmVJGCCGEELIjFDLHQOQwhf/iNlPCygwVD4MMAtA/ujA4pawGL0BsQmB50bzealFEZoZuv+k4jkkLDJGY5QUA0TojQgghhJBdYGYHi/2vHTngQHavJ3Q+zO40TdF5OkXxHkSM15Svq0fA1avW8LKJ3NLPBorGON60Wi4z1ALWewBeG2ICGo1hKJgQQgghZGc4ojoGkznG53GN5OCD5y7hI0XjzLF4E4GLR/aWeXc+fbYcJhw763cGfG9BQC0usDYHYDSGEEIIIWQvMLXsGIRZ+utkTLQmC1GWvgKk5TO5WOtWxhBNNKUrWwFXlW1cXaqBQt5SC7O6BOJ5+zqACo2u1DEXWYPMjuMZRMzqqkhtS2YMAxNCCCFkP9AchULmKGQrnZlPG9KXDsGo8XM+bD+zlQ70qzUpLhknYsTp9q5ebd/HPuLAh/44DaLMC+Ck+bMmcyvy7yHqgohJF8X2XMTO5IQQQgghe4Qjq2MwmQNpdL1CZixD60skwrphjUTW22WEiIkStT5e9qipWTwCZvdUODSRpeoYlwkglc/kvYqMxv0UbdA3JD0vT9VsIMBoDCGEEEL2hQjHFaCQOR7xBJieF/Uee6FFdIzNZGuKsjRiEYso0VSutOPvQtRl3fPFLsqhvXbyrDvlK11ompqLLG0O+jdxg5Oai1T8xMm2iAn7W13ucxWoZRETJ4zGEEIIIYTsGY6ujkky00Hv2F4nVQ5VdjNEyGSpOnMtWmyRAU03g1cBsasJAKCRm66oDGA9Z5zuY7rUf6sWzs4Bk3MVOE3CaLUoRF7Ao962ed2IlBBCCCGE7AsKmWMislvTxi0OpGSGCo2m9UP0w+fAYmDEpQ/pql8hPnIVUHURsXiqy7sK6EJfni6Bl8zY/JIQQggh+4ftHGi/fHSaGi+O2tahhEyqqWJ9ybLNi0uc/r04TRnritaMJV2ocOiDS4BFTTrZZN7PBaSPOIli2i0TQgghhBwIRmSOzT7VtG9x8Nq1HmxQQZm5nS0vNcKxfLSf9LE+LK+0oWVrpMTZ5yntUzTRfe5by9Lp5mbRNhbiEUIIIeQQcIzBiMzRiSfYW3PMvKcV8RgGR3tEozBXr16fiAE0etQVLUmmWisTmJ4D8/vaj6YvLmqPUvWN7BBCCCGEkFFwpHUT2JujVY7Gr3TXtLMhKXDxRIv+j5W7eXWpDTjrSOabDmWzeyo6xgjAuEHIJNPm1wghhBBCyF5gatmx8b6wAt4HIvU1/1k60Ea5Qp5rhKEtuhIl+nlCypVEaG1CeTDybREVmQNZVcT0rampo06oTWb6XoQQQgghB4WpZYzIHJt0gcP5JlfYNULS9PcSWRRmpaldgTwD5vd2e8+xLB7pPrkEiGeaSra2ZhZg/mB3W2QRjfyEaM5krttkziohhBBCyMFhRObY7DMa08WuA+w6IRNPgDRtLnz3uQ7282v8nIHc6/vmJXtriYDZubmo7eF4zM41CpVnbHpJCCGEkGtCOHEKRmSOS57tsYdMz/fbhY06G9EUqnSJ1tQxn2sx/TFYXmzaH0/OgfPH9yNiyohQxBBCCCGEXDMUMscky4rGitdBng3rB1MlW+mAXSKtl8na7IfL77s6Xt1IugLggPljWr8inMEghBBCCLkNcBr5mOyzGWZfdk6nigBZDbdUns6Bi57CZx/MrDZnMgfgdxNwhBBCCCE3DU7MUsgclV1TvcaQphjtJCbO6kFG/G22Uoew1dXwvx2Ci4GzB2qBTAghhBBCbi0UMscizzs6wx/sja34vkGMBItm5yz6Yss91JigbzpZHcn0sEJmegbM7rMRJSGEEELuAIzIUMgcizwDoqlFZTzW6U/lPifXiYs04pKtSv1m9ly/k6204H75aL/bjRKtgYljhlkJIYQQQu4IFDLHIk5ULCweFst27fPSlyiyonf7v4e5p1mq2yFT3uIY2GcgajLXnjCMwhBCCCGE3CkoZI5JFO15ewl6NddcLdR9LD1Cb5dspYX4Vw+7160jnmhaXJ7pdmbnjMIQQggh5G4h4PgHFDLHZd8RGBdrHUuf8zrLMbrof1fGRE9cBMzvq2GAz/WHTmSEEEIIIXcWCpmjsmcl7fMBm+wo+j8kWaqi5PLVYlkyK5zGLl7eXD9KrJGlna4SAdhzNIsQQgghhJwUFDLHJM+ssD4H4K1D/BTr9LBshV6pYgFx/RpshsL+Y+JtP6IpkCT6WUPDzTKsgSGEEEII2YaZZRQyRyVOgPtPqaC5eAVYXGy+7iIgmhR5kHmudTXLy4a8yBbRE2pLvNWX4Ag9bMr4TOtbslT3J04K04HQb2YyB84eYw4oIYQQQgjZgkLm2IhoFGJ+D3j44uZreQbkFTvmFbRfyuqqZoBfM+CPYhUIR+lZ04HPgcmZ7mP4LOkSyDL97PMHFDGEEEIIIbVwjEQhc2y81wjLatH/b7JUBcDaJlmAbIGNiIxEGtHZpYHlIUnmGoWpCpV4ArhM63eYTkYIIYQQQhqgkDkGeaYpVBJpBGKIFXEyBdKFRmQC8weAm6soimKtf0nTGypiRCNK1VqYMs5EGCGEEEIIIQ1QyFwH3pdSp1bAo5e1RmQo4izdrFLQ732xvdTf7HSsLhFDCCGEEEI6kJs93rsmmLtzaLzXH6AotO/jLFbHZNZd63KTT+pkThFDCCGEEEL2AkeVh2RDwKBwJxtiqRyYngNXr9a/NlYYXSfJFEgmx94LQgghhJDbwU2evL4mKGQOifdAngIPXwLiWN249i1iAC3+d+7mntAuAuLpsfeCEEIIIYTcIphadkiyFXD1CIDX2pgxkZMuEQNo8b+7oZo0itVh7aaKLEIIIYQQcpLc0NHvieM9sHhkImYkUaIioEvElN/zxiHa3JI2yoQQQgghe4aTxBxhHoJ0tZuImc41erMYsI0xLmiHZjKnjTIhhBBCCDkIjMgcgl2K7/ukktWxvARm9w5X+C8OiCLtfSOiEaByL5sq8ZQOZYQQQgghh4Jp+xQyeyddARcvj/hDB0xn40TMmj2e0C62xpRORYyLigvG58Bly35GibqU8QIjhBBCCCEHgkLmJpBMNcJx9XC37ewjGhMnGk1pTQkTXSddYsuFTZz2u6GIIYQQQgghB4RCZt/k6YCVQxTmAtpoZkdWSxUiYzXE5EzTwbpEiIiKlWSiKW1Z6TPHUxUzhBBCCCHkgHDSmEJmXwTXsKyHkHFOB/xZunsUpky+AtxsXOF/nPQTMWXEqfhZXQF5DsQT3Q4hhBBCCCEHhkJmX4ioMFleNq+TWMrVajnMkWwIY9PL4pE1LSLqTkYIIYQQQq4HEabxg0Jmf4Qi/2o/l9APJs+A5cVh3juaFNGUaAJki2F/n8xok0wIIYQQQk4KCpl9kOeaXhVEi/cmDMyiOB0oLLqYnJsVsmgEJg+pZB7IVtD2QD0jMy7SlDBCCCGEEEJOCAqZfSCiKWX5AZtSOqcCxlkKW6OpQK7WyXkfIWNpYQxNEkIIIYScFhy/UcjsBRETDwcQMslcIyY+058+b9FHxCTTolcMIYQQQgghJwaFzN7w3av0IZ5YzYtZGGepupH1xUXdgmpyRncxQgghhJCThhEZCplj4xKLjjg9H7MUQA5kY/vKdJzUyYwihhBCCCGEnDwUMteNc5ou5qLCshl5z5qWHuSpOZct69+bhf2EEEIIIeQWQCGzL+IJkNaIBzhgWhYuGVS49GicOZZsqaKlKo4SFvYTQgghhNwGhGM6Cpm9MZkBVw/192SmwkZg9sgHFi61CCAmnqJYraGdu+Z9IIQQQggh5DBQyOyLKAHOnzBnsTZ75D0gTvvIwAEQe8+VCpVoaq+BjmSEEEIIIeTWQiGzT6IYWOy5+WVAHBBPi0L9ajgxz3QdhhkJIYQQQm4/HPNRyOwVF6mY8Hsq3IcAcQxIrAKm7YRl9IUQQgghhNwhKGT2iYjWxqyudt9WMrU6G9a1EEIIIYSQMgL2kaGQ2T9BfKyuxkdmJnPaJBNCCCGEENIChcy+ESnSwBaPhv4xMDtnmhghhBBCCCEddOYticgzIvKCiHyqtOyvisg/E5F/KiI/KiKPl177DhF5VkR+WUS+rrT8XbbsWRH59tLyN4vIz9jyvyUiE1s+tf8/a6+/aV8f+loI9TJDmMwpYgghhBBCSDcix/25AfQZaX8vgHdVln0UwG/23v/7AP45gO8AABF5G4D3APhN9jd/Q0QiEYkAfA+ArwfwNgDfaOsCwF8G8N3e+68A8CKA99ny9wF40ZZ/t613OoioMNl+AZicAbP7wPw+MLsHzB/o7xEDZIQQQgghhPShU8h47z8G4IuVZT/uvQ+NUj4O4I32+7sBfNB7v/De/wqAZwG8w36e9d5/xnu/BPBBAO8WbUn6NQB+xP7++wD8gdK2vs9+/xEAv09OrYVpFAPTM8AFgeI0dSy25pTiLHIjtE4mhBBCCCH9EDAig34RmS7+CwA/Zr+/AcCvlV57zpY1LX8KwEslURSWb2zLXn/Z1j8tokTFy/w+MGf9CyGEEEIIIftgJyEjIn8WQArg/9jP7ozej28WkU+IyCc+97nPHXNXmhFHK2VCCCGEEEL2xOiRtYh8E4D/CMAf9d57W/w8gC8trfZGW9a0/AsAHheRuLJ8Y1v2+mO2/hbe+/d779/uvX/7a17zmrEfiRBCCCGEkBNBjvxzfEYJGRF5F4A/DeA/9t5flF76EID3mOPYmwG8BcA/BvCzAN5iDmUTqCHAh0wA/SSAP2R//14Af6+0rffa738IwD8oCSZCCCGEEELIHabTJktEfgjAOwE8LSLPAfhOqEvZFMBHrf7+4977/9J7/2kR+WEAvwhNOfsW731m2/lWAB8BEAF4xnv/aXuLPwPggyLyFwH8HIAP2PIPAPgBEXkWajbwnj18XkIIIYQQQk6fG1Jwf0w6hYz3/htrFn+gZllY/7sAfFfN8g8D+HDN8s9AXc2qy68A/OGu/SOEEEIIIYTcPVh9TgghhBBCCDk52IGREEIIIYSQU4OZZYzIEEIIIYQQQk4PRmQIIYQQQgg5KW6OBfIxYUSGEEIIIYQQcnJQyBBCCCGEEEJODqaWEUIIIYQQcmqwjwwjMoQQQgghhJDTg0KGEEIIIYQQcnIwtYwQQgghhJBTQsDUMjAiQwghhBBCCDlBGJEhhBBCCCHk5GBEhhEZQgghhBBCyMlBIUMIIYQQQgg5OZhaRgghhBBCyKnBYn9GZAghhBBCCCGnByMyhBBCCCGEnBTCiAwYkSGEEEIIIYScIBQyhBBCCCGEkJODqWWEEEIIIYScHEwtY0SGEEIIIYQQcnJQyBBCCCGEEHJqiBz3p9cuyrtE5JdF5FkR+fZ9HwIKGUIIIYQQQsheEZEIwPcA+HoAbwPwjSLytn2+B4UMIYQQQgghZN+8A8Cz3vvPeO+XAD4I4N37fINbV+z/yU9+8vMi8qvH3o8D8jSAzx97J04QHrdx8LgNh8dsHDxu4+BxGw6P2Tju0nH78mPvQBef/Ll/8hE5f/zpI+/GTEQ+Ufr/+7337y/9/w0Afq30/+cA/M597sCtEzLe+9ccex8OiYh8wnv/9mPvx6nB4zYOHrfh8JiNg8dtHDxuw+ExGweP283Ce/+uY+/DTYCpZYQQQgghhJB98zyALy39/422bG9QyBBCCCGEEEL2zc8CeIuIvFlEJgDeA+BD+3yDW5dadgd4f/cqpAYet3HwuA2Hx2wcPG7j4HEbDo/ZOHjcyCC896mIfCuAjwCIADzjvf/0Pt9DvPf73B4hhBBCCCGEHBymlhFCCCGEEEJODgoZQgghhBBCyMlBIXODEJF3icgvi8izIvLtNa9/uYj8hIj8UxH5KRF5oy3/rSLy0yLyaXvtP7v+vT8eY49b6fUHIvKciPz169vr47LLMRORLxORHxeRXxKRXxSRN13rzh+RHY/bX7Fr9JdE5K+JiFzv3h8HEXlGRF4QkU81vC52PJ614/bbSq+9V0T+hf289/r2+viMPW53+Xmwy7lmr9+5ZwGw8zV6Z58H5IbgvefPDfiBFkH9SwC/DsAEwM8DeFtlnb8N4L32+9cA+AH7/a0A3mK/vx7AZwE8fuzPdNOPW+n1/wXADwL468f+PKdwzAD8FID/0H6/B+Ds2J/pph83AL8bwD+ybUQAfhrAO4/9ma7puP0eAL8NwKcaXv/9AH4MgAD4SgA/Y8ufBPAZ+/cJ+/2JY3+eEzhud/l5MOqYlV6/U8+CfRy3u/o84M/N+WFE5ubwDgDPeu8/471fAvgggHdX1nkbgH9gv/9keN17/8+99//Cfv//ALwA4FY3Bi0x+rgBgIj8dgCvBfDj17CvN4XRx0xE3gYg9t5/FAC89w+99xfXs9tHZ5dzzQOYQQXQFEAC4N8efI9vAN77jwH4Yssq7wbw/V75OIDHReR1AL4OwEe991/03r8I4KMA7kwDuLHH7S4/D3Y41+7qswDA+ON2x58H5IZAIXNzeAOAXyv9/zlbVubnAfxB+/0/AXBfRJ4qryAi74AOlv7lgfbzpjH6uImIA/A/Afi2g+/lzWKXc+2tAF4Skb8jIj8nIn9VRKKD7/HNYPRx897/NFTYfNZ+PuK9/6UD7++p0HRc+xzvu0zn8bmDz4Muao/ZHX4W9KXpXLvLzwNyQ6CQOS2+DcDvFZGfA/B7od1Rs/CizSz9AIA/7r3Pj7OLN5Km4/YnAXzYe//cMXfuhtJ0zGIAX2Wv/w5omtU3HWkfbyK1x01EvgLAb4R2NX4DgK8Rka863m6S2w6fB4Pgs2AcfB6Qo8OGmDeH5wF8aen/b7RlayxN4A8CgIjcA/Cfeu9fsv8/APB/AfizFvq9K4w+biLyuwB8lYj8SWhu70REHnrvt4q4bxm7HLPnAPwT7/1n7LW/C82Z/sA17Pex2eW4/QkAH/feP7TXfgzA7wLwD69jx284Tcf1eQDvrCz/qWvbq5tP4/l4h58HXTQds7v6LOhL03GLcXefB+SGwIjMzeFnAbxFRN4sIhMA7wHwofIKIvK0hcAB4DsAPGPLJwB+FJrD+iPXuM83gdHHzXv/R733X+a9fxN0Run778iDa/Qxs799XERCzv3XAPjFa9jnm8Aux+1fQyM1sYgk0GgNU8uUDwH4Y+aM9JUAXvbefxbaCfprReQJEXkCwNfaMqLUHrc7/jzoovaY3eFnQV+artG7/DwgNwRGZG4I3vtURL4V+qCOADzjvf+0iPx5AJ/w3n8IOjv5P4iIB/AxAN9if/4NUNeRp0Tkm2zZN3nv/8k1foSjsONxu5Pscsy895mIfBuAnxARAfBJAP/7MT7HdbPjufYj0If8L0AL//++9/7/vO7PcAxE5Iegx+Vpi+h9J9TsAN77/w3Ah6GuSM8CuADwx+21L4rIX4AOlgDgz3vv2wqSbxVjjxvu8PNgh2N2p9nhGr2zzwNycxDv/bH3gRBCCCGEEEIGwdQyQgghhBBCyMlBIUMIIYQQQgg5OShkCCGEEEIIIScHhQwhhBBCCCHk5KCQIYQQQgghJ4+IPCMiL4jIp3qu/w0i8osi8mkR+cFD7x/ZP3QtI4QQQgghJ4+I/B4AD6G9gH5zx7pvAfDDAL7Ge/+iiHyJ9/6F69hPsj8YkSGEEEIIISeP9/5jADb6TYnIrxeRvy8inxSRfygiv8Fe+hMAvsd7/6L9LUXMCUIhQwghhBBCbivvB/CnvPe/HcC3AfgbtvytAN4qIv9IRD4uIu862h6S0cTH3gFCCCGEEEL2jYjcA/C7AfxtEQmLp/ZvDOAtAN4J4I0APiYi/573/qVr3k2yAxQyhBBCCCHkNuIAvOS9/601rz0H4Ge89ysAvyIi/xwqbH72GveP7AhTywghhBBCyK3De/8KVKT8YQAQ5bfYy38XGo2BiDwNTTX7zBF2k+wAhQwhhBBCCDl5ROSHAPw0gH9XRJ4TkfcB+KMA3iciPw/g0wDebat/BMAXROQXAfwkgP/Ge/+FY+w3GQ/tlwkhhBBCCCEnByMyhBBCCCGEkJODQoYQQgghhBByclDIEEIIIYQQQk4OChlCCCGEEELIyUEhQwghhBBCCDk5KGQIIYQQQgghJweFDCGEEEIIIeTk+P8BpE2gkgGsYkcAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# visualize the permit counts by census tract \n", "ax = ct.boundary.plot(figsize=(15,12),linewidth=0.2, edgecolor='w', alpha=0.8)\n", "ct_count.plot(ax=ax,column='Counts', cmap='Reds',legend=True, vmax=300)" ] }, { "cell_type": "code", "execution_count": 87, "id": "51de00a7", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 87, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# visualize the permit count density by census tract \n", "ax = ct.boundary.plot(figsize=(15,12),linewidth=0.2, edgecolor='w', alpha=0.8)\n", "ct_count.plot(ax=ax,column='count_per_mile', cmap='Reds',legend=True, vmax=2500)" ] }, { "cell_type": "markdown", "id": "93799e0c", "metadata": {}, "source": [ "# Count the Number of Permit by Time" ] }, { "cell_type": "markdown", "id": "89551034", "metadata": {}, "source": [ "## Extract hour and day from Timeframe by Event" ] }, { "cell_type": "code", "execution_count": 88, "id": "10693108", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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EventIDEventTypeStartDateTimeEndDateTimeEnteredOnEventAgencyParkingHeldBoroughCommunityBoard(s)PolicePrecinct(s)CategorySubCategoryNameCountryOFT_TextsegidsSegmentIDStreetgeometry
0559223Shooting Permit01/22/2021 10:00:00 AM01/23/2021 1:00:00 AM01/19/2021 1:13:21 PMMayor's Office of Film, Theatre & BroadcastingSHEEPSHEAD BAY ROAD between VOORHIES AVENUE an...Brooklyn1561TelevisionEpisodic seriesUnited States of America[SHEEPSHEAD BAY ROAD between VOORHIES AVENUE a...[0108149, 0115148, 0026080, 0026083, 0127321, ...0108149SHEEPSHEAD BAY ROADLINESTRING (997364.767 153166.254, 997613.031 ...
9559248Shooting Permit01/22/2021 10:00:00 AM01/23/2021 2:00:00 AM01/19/2021 2:33:31 PMMayor's Office of Film, Theatre & BroadcastingQUEENS PLAZA SOUTH between 21 STREET and 22 ST...Queens2108TelevisionEpisodic seriesUnited States of America[QUEENS PLAZA SOUTH between 21 STREET and 22 S...[]NaNNaNNone
10559290Shooting Permit01/22/2021 9:00:00 AM01/22/2021 11:59:00 PM01/20/2021 10:39:44 AMMayor's Office of Film, Theatre & BroadcastingWEST 51 STREET between 9 AVENUE and 10 AVENUEManhattan418TelevisionEpisodic seriesUnited States of America[WEST 51 STREET between 9 AVENUE and 10 AVENUE][0033977]0033977WEST 51 STREETLINESTRING (987436.794 217663.877, 986650.937 ...
11558551Shooting Permit01/22/2021 8:00:00 AM01/22/2021 10:00:00 PM01/15/2021 10:21:26 AMMayor's Office of Film, Theatre & BroadcastingBEDFORD AVENUE between LEFFERTS AVENUE and LIN...Brooklyn971TelevisionEpisodic seriesUnited States of America[BEDFORD AVENUE between LEFFERTS AVENUE and LI...[0029490, 0029273, 0029280, 0109171, 0028388, ...0029490BEDFORD AVENUELINESTRING (996167.827 180451.067, 996191.780 ...
22558610Shooting Permit01/22/2021 8:00:00 AM01/23/2021 12:00:00 AM01/15/2021 11:35:16 AMMayor's Office of Film, Theatre & BroadcastingWEST 43 STREET between AVENUE OF THE AMERICA...Manhattan514, 18TelevisionCable-episodicUnited States of America[WEST 43 STREET between AVENUE OF THE AMERIC...[0034189, 0034194, 0035787, 0034192, 0034197, ...0034189WEST 43 STREETLINESTRING (989681.508 214036.225, 988786.877 ...
\n", "
" ], "text/plain": [ " EventID EventType StartDateTime EndDateTime \\\n", "0 559223 Shooting Permit 01/22/2021 10:00:00 AM 01/23/2021 1:00:00 AM \n", "9 559248 Shooting Permit 01/22/2021 10:00:00 AM 01/23/2021 2:00:00 AM \n", "10 559290 Shooting Permit 01/22/2021 9:00:00 AM 01/22/2021 11:59:00 PM \n", "11 558551 Shooting Permit 01/22/2021 8:00:00 AM 01/22/2021 10:00:00 PM \n", "22 558610 Shooting Permit 01/22/2021 8:00:00 AM 01/23/2021 12:00:00 AM \n", "\n", " EnteredOn EventAgency \\\n", "0 01/19/2021 1:13:21 PM Mayor's Office of Film, Theatre & Broadcasting \n", "9 01/19/2021 2:33:31 PM Mayor's Office of Film, Theatre & Broadcasting \n", "10 01/20/2021 10:39:44 AM Mayor's Office of Film, Theatre & Broadcasting \n", "11 01/15/2021 10:21:26 AM Mayor's Office of Film, Theatre & Broadcasting \n", "22 01/15/2021 11:35:16 AM Mayor's Office of Film, Theatre & Broadcasting \n", "\n", " ParkingHeld Borough \\\n", "0 SHEEPSHEAD BAY ROAD between VOORHIES AVENUE an... Brooklyn \n", "9 QUEENS PLAZA SOUTH between 21 STREET and 22 ST... Queens \n", "10 WEST 51 STREET between 9 AVENUE and 10 AVENUE Manhattan \n", "11 BEDFORD AVENUE between LEFFERTS AVENUE and LIN... Brooklyn \n", "22 WEST 43 STREET between AVENUE OF THE AMERICA... Manhattan \n", "\n", " CommunityBoard(s) PolicePrecinct(s) Category SubCategoryName \\\n", "0 15 61 Television Episodic series \n", "9 2 108 Television Episodic series \n", "10 4 18 Television Episodic series \n", "11 9 71 Television Episodic series \n", "22 5 14, 18 Television Cable-episodic \n", "\n", " Country \\\n", "0 United States of America \n", "9 United States of America \n", "10 United States of America \n", "11 United States of America \n", "22 United States of America \n", "\n", " OFT_Text \\\n", "0 [SHEEPSHEAD BAY ROAD between VOORHIES AVENUE a... \n", "9 [QUEENS PLAZA SOUTH between 21 STREET and 22 S... \n", "10 [WEST 51 STREET between 9 AVENUE and 10 AVENUE] \n", "11 [BEDFORD AVENUE between LEFFERTS AVENUE and LI... \n", "22 [WEST 43 STREET between AVENUE OF THE AMERIC... \n", "\n", " segids SegmentID \\\n", "0 [0108149, 0115148, 0026080, 0026083, 0127321, ... 0108149 \n", "9 [] NaN \n", "10 [0033977] 0033977 \n", "11 [0029490, 0029273, 0029280, 0109171, 0028388, ... 0029490 \n", "22 [0034189, 0034194, 0035787, 0034192, 0034197, ... 0034189 \n", "\n", " Street geometry \n", "0 SHEEPSHEAD BAY ROAD LINESTRING (997364.767 153166.254, 997613.031 ... \n", "9 NaN None \n", "10 WEST 51 STREET LINESTRING (987436.794 217663.877, 986650.937 ... \n", "11 BEDFORD AVENUE LINESTRING (996167.827 180451.067, 996191.780 ... \n", "22 WEST 43 STREET LINESTRING (989681.508 214036.225, 988786.877 ... " ] }, "execution_count": 88, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data = df_film_lion\n", "data = data.drop_duplicates(subset=['EventID'])\n", "data.head()" ] }, { "cell_type": "code", "execution_count": 89, "id": "6f785156", "metadata": {}, "outputs": [], "source": [ "#create timespan for each permit\n", "def range_to_list(a, b):\n", " return pd.date_range(a, b, freq = 'H')[:-1]\n", "data['StartEnd'] = [[i, j] for i, j in zip( data['StartDateTime'], data['EndDateTime'])]\n", "\n", "# create hourly time list from the timespan\n", "data['TimeList'] = data['StartEnd'].apply(lambda x: range_to_list(x[0], x[1]))" ] }, { "cell_type": "code", "execution_count": 90, "id": "90278efe", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['01/22/2021 10:00:00 AM', '01/23/2021 1:00:00 AM']" ] }, "execution_count": 90, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data['StartEnd'][0]" ] }, { "cell_type": "code", "execution_count": 91, "id": "79707820", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 DatetimeIndex(['2021-01-22 10:00:00', '2021-01...\n", "9 DatetimeIndex(['2021-01-22 10:00:00', '2021-01...\n", "10 DatetimeIndex(['2021-01-22 09:00:00', '2021-01...\n", "11 DatetimeIndex(['2021-01-22 08:00:00', '2021-01...\n", "22 DatetimeIndex(['2021-01-22 08:00:00', '2021-01...\n", "Name: TimeList, dtype: object" ] }, "execution_count": 91, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data['TimeList'].head()" ] }, { "cell_type": "code", "execution_count": 92, "id": "b09c1105", "metadata": {}, "outputs": [], "source": [ "#create new column to store the list of hour numbers and the list of date \n", "data['hours'] = data['TimeList'].apply(lambda x: list(x.hour))\n", "data['day'] = data['TimeList'].apply(lambda x: list(set(x.date)))\n", "\n", "#create new column to count how many days within a permit timespan\n", "data['day_length'] = data['TimeList'].apply(lambda x: len(list(set(x.date))))" ] }, { "cell_type": "code", "execution_count": 93, "id": "f7d20f82", "metadata": {}, "outputs": [], "source": [ "f = lambda x: list(z for y in x for z in y) \n", "event_hour_sum = data.groupby('EventID')['hours'].agg(f).reset_index()" ] }, { "cell_type": "code", "execution_count": 94, "id": "a421fb10", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " EventID hours hour_sum \\\n", "3551 423452 [] 0 \n", "19011 548759 [] 0 \n", "15453 511810 [10] 1 \n", "15565 512208 [8] 1 \n", "12616 492598 [10] 1 \n", "... ... ... ... \n", "9988 465679 [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 815 \n", "3052 418275 [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 1583 \n", "9042 458022 [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 8610 \n", "17473 525411 [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 8640 \n", "19969 556250 [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 8687 \n", "\n", " day \n", "3551 0.000000 \n", "19011 0.000000 \n", "15453 0.041667 \n", "15565 0.041667 \n", "12616 0.041667 \n", "... ... \n", "9988 33.958333 \n", "3052 65.958333 \n", "9042 358.750000 \n", "17473 360.000000 \n", "19969 361.958333 \n", "\n", "[20164 rows x 4 columns]" ] }, "execution_count": 95, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# count the number of hours in the list\n", "event_hour_sum['hour_sum'] = event_hour_sum['hours'].apply(lambda x: len(x)) \n", "event_hour_sum = event_hour_sum.astype({'EventID': 'int'})\n", "\n", "#Sort the table with the hour sum and turn the hour into days\n", "event_hour_sum = pd.DataFrame(event_hour_sum)\n", "event_hour_sum = event_hour_sum.sort_values(by='hour_sum')\n", "event_hour_sum['day']=event_hour_sum['hour_sum']/24\n", "event_hour_sum" ] }, { "cell_type": "code", "execution_count": 96, "id": "33c6b03c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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EventIDhourshour_sumday
3551423452[]00.000000
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15565512208[8]10.041667
12616492598[10]10.041667
...............
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20095 rows × 4 columns

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" ], "text/plain": [ " EventID hours hour_sum \\\n", "3551 423452 [] 0 \n", "19011 548759 [] 0 \n", "15453 511810 [10] 1 \n", "15565 512208 [8] 1 \n", "12616 492598 [10] 1 \n", "... ... ... ... \n", "6410 443446 [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 1... 336 \n", "15618 512412 [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 341 \n", "19951 555849 [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 348 \n", "19948 555831 [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 348 \n", "4749 434223 [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 1... 352 \n", "\n", " day \n", "3551 0.000000 \n", "19011 0.000000 \n", "15453 0.041667 \n", "15565 0.041667 \n", "12616 0.041667 \n", "... ... \n", "6410 14.000000 \n", "15618 14.208333 \n", "19951 14.500000 \n", "19948 14.500000 \n", "4749 14.666667 \n", "\n", "[20095 rows x 4 columns]" ] }, "execution_count": 96, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#drop outlier\n", "from scipy import stats\n", "event_hour_sum = event_hour_sum[(np.abs(stats.zscore(event_hour_sum['hour_sum'])) < 3)]\n", "event_hour_sum" ] }, { "cell_type": "code", "execution_count": 97, "id": "01bb1ca7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 97, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "event_plot = event_hour_sum[['EventID','hour_sum']].groupby(['hour_sum']).count()\n", "event_plot = event_plot.rename(columns={'EventID':'Counts'})\n", "event_plot = event_plot.sort_values(by='Counts')\n", "event_plot.plot(figsize=(10,8),marker='o',linestyle='',markersize=2)" ] }, { "cell_type": "markdown", "id": "2dd1cffe", "metadata": {}, "source": [ "## Count Permit Numbers in Hour of a Day" ] }, { "cell_type": "code", "execution_count": 98, "id": "082a66ed", "metadata": { "scrolled": true }, "outputs": [], "source": [ "import itertools\n", "\n", "# extract the hour from the list and make it a dataframe\n", "flat_hour = list(itertools.chain(*data['hours']))\n", "flat_hour = pd.DataFrame(flat_hour)\n", "flat_hour_new = flat_hour.rename(columns={0:\"hour\"})\n", "flat_hour_new = flat_hour_new.reset_index()\n", "\n", "# group by the hour counts\n", "flat_hour_count = flat_hour_new.groupby('hour').count()\n", "flat_hour_count = flat_hour_count.rename(columns= {'index':\"count\"})\n", "flat_hour_count = flat_hour_count.reset_index()" ] }, { "cell_type": "code", "execution_count": 99, "id": "35bd753d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 99, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "flat_hour_count.plot(kind=\"bar\",figsize=(20, 8))" ] }, { "cell_type": "markdown", "id": "23f58ee0", "metadata": {}, "source": [ "## Count Permit Numbers by day" ] }, { "cell_type": "code", "execution_count": 100, "id": "6f9ba218", "metadata": {}, "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", " \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", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
datecount
02018-01-031
12018-01-045
22018-01-053
32018-01-061
42018-01-072
.........
14542021-12-271
14552021-12-281
14562021-12-291
14572021-12-301
14582021-12-311
\n", "

1459 rows × 2 columns

\n", "
" ], "text/plain": [ " date count\n", "0 2018-01-03 1\n", "1 2018-01-04 5\n", "2 2018-01-05 3\n", "3 2018-01-06 1\n", "4 2018-01-07 2\n", "... ... ...\n", "1454 2021-12-27 1\n", "1455 2021-12-28 1\n", "1456 2021-12-29 1\n", "1457 2021-12-30 1\n", "1458 2021-12-31 1\n", "\n", "[1459 rows x 2 columns]" ] }, "execution_count": 100, "metadata": {}, "output_type": "execute_result" } ], "source": [ "flat_day = list(itertools.chain(*data['day']))\n", "flat_day = pd.DataFrame(flat_day)\n", "flat_day = flat_day.rename(columns={0:\"date\"})\n", "flat_day = flat_day.reset_index()\n", "flat_day_count = flat_day.groupby('date').count()\n", "flat_day_count = flat_day_count.rename(columns= {'index':\"count\"})\n", "flat_day_count = flat_day_count.reset_index()\n", "flat_day_count" ] }, { "cell_type": "code", "execution_count": 101, "id": "5e8a5c20", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 101, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "sns.set(rc={'figure.figsize':(12,8)})\n", "\n", "sns.lineplot(x = \"date\", y = \"count\",\n", " data = flat_day_count)" ] }, { "cell_type": "markdown", "id": "782aaac0", "metadata": {}, "source": [ "## Create Rolling Avg for Daily Count" ] }, { "cell_type": "code", "execution_count": 102, "id": "442890e6", "metadata": {}, "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", " \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", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
datecount(avg)
02018-01-033.0
12018-01-0711.0
22018-01-1116.0
32018-01-1521.0
42018-01-1919.0
.........
3602021-12-131.0
3612021-12-171.0
3622021-12-211.0
3632021-12-251.0
3642021-12-291.0
\n", "

365 rows × 2 columns

\n", "
" ], "text/plain": [ " date count(avg)\n", "0 2018-01-03 3.0\n", "1 2018-01-07 11.0\n", "2 2018-01-11 16.0\n", "3 2018-01-15 21.0\n", "4 2018-01-19 19.0\n", ".. ... ...\n", "360 2021-12-13 1.0\n", "361 2021-12-17 1.0\n", "362 2021-12-21 1.0\n", "363 2021-12-25 1.0\n", "364 2021-12-29 1.0\n", "\n", "[365 rows x 2 columns]" ] }, "execution_count": 102, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Avg_4days = []\n", "\n", "for i in range(0,len(flat_day_count),4): \n", " date = flat_day_count['date'][i]\n", " if i >=len(flat_day_count)-2:\n", " count = flat_day_count['count'][i]\n", " Avg_4days.append({'date': date, 'count(avg)': count}) \n", " else: \n", " count = round(flat_day_count['count'][i:i+3].mean(),0)\n", " Avg_4days.append({'date': date, 'count(avg)': count}) \n", " \n", "Avg_4days = pd.DataFrame(Avg_4days)\n", "Avg_4days" ] }, { "cell_type": "code", "execution_count": 109, "id": "009ae304", "metadata": {}, "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", " \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", " \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", "
datecountcount(rolling)
02018-01-031NaN
12018-01-045NaN
22018-01-053NaN
32018-01-0613.0
42018-01-0726.0
............
14542021-12-2711.0
14552021-12-2811.0
14562021-12-291NaN
14572021-12-301NaN
14582021-12-311NaN
\n", "

1459 rows × 3 columns

\n", "
" ], "text/plain": [ " date count count(rolling)\n", "0 2018-01-03 1 NaN\n", "1 2018-01-04 5 NaN\n", "2 2018-01-05 3 NaN\n", "3 2018-01-06 1 3.0\n", "4 2018-01-07 2 6.0\n", "... ... ... ...\n", "1454 2021-12-27 1 1.0\n", "1455 2021-12-28 1 1.0\n", "1456 2021-12-29 1 NaN\n", "1457 2021-12-30 1 NaN\n", "1458 2021-12-31 1 NaN\n", "\n", "[1459 rows x 3 columns]" ] }, "execution_count": 109, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Calendar_rolling = []\n", "\n", "for i in range(0,len(flat_day_count)):\n", " date = flat_day_count['date'][i]\n", " if i<3 or i >= len(flat_day_count)-3:\n", " Calendar_rolling.append({'date': date, 'count(rolling)': None}) \n", " else:\n", " count = round(sum(flat_day_count['count'][i-3:i+3])/7)\n", " Calendar_rolling.append({'date': date, 'count(rolling)': count}) \n", " \n", "Calendar_rolling = pd.DataFrame(Calendar_rolling)\n", "flat_day_count['count(rolling)'] = Calendar_rolling['count(rolling)']\n", "flat_day_count" ] }, { "cell_type": "code", "execution_count": 123, "id": "e57ebd52", "metadata": {}, "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", " \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", " \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", "
datecount(avg)rolling(avg)
02018-01-033.0NaN
12018-01-0711.07.0
22018-01-1116.013.0
32018-01-1521.016.0
42018-01-1919.020.0
............
3602021-12-131.01.0
3612021-12-171.01.0
3622021-12-211.01.0
3632021-12-251.01.0
3642021-12-291.0NaN
\n", "

365 rows × 3 columns

\n", "
" ], "text/plain": [ " date count(avg) rolling(avg)\n", "0 2018-01-03 3.0 NaN\n", "1 2018-01-07 11.0 7.0\n", "2 2018-01-11 16.0 13.0\n", "3 2018-01-15 21.0 16.0\n", "4 2018-01-19 19.0 20.0\n", ".. ... ... ...\n", "360 2021-12-13 1.0 1.0\n", "361 2021-12-17 1.0 1.0\n", "362 2021-12-21 1.0 1.0\n", "363 2021-12-25 1.0 1.0\n", "364 2021-12-29 1.0 NaN\n", "\n", "[365 rows x 3 columns]" ] }, "execution_count": 123, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Avg_4days_rolling = []\n", "\n", "for i in range(0,len(flat_day_count),4): \n", " date = flat_day_count['date'][i]\n", " if i >=len(flat_day_count)-2:\n", " count_rol = flat_day_count['count(rolling)'][i]\n", " Avg_4days_rolling.append({'date': date, 'rolling(avg)': count_rol}) \n", " else: \n", " count_rol = round(flat_day_count['count(rolling)'][i:i+3].mean(),0)\n", " Avg_4days_rolling.append({'date': date, 'rolling(avg)': count_rol}) \n", " \n", "\n", "Avg_4days_rolling = pd.DataFrame(Avg_4days_rolling)\n", "Avg_4days['rolling(avg)'] = Avg_4days_rolling['rolling(avg)']\n", "Avg_4days" ] }, { "cell_type": "markdown", "id": "6f7c0d89", "metadata": {}, "source": [ "## Count Time Duration by Street" ] }, { "cell_type": "code", "execution_count": 124, "id": "d7996f64", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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SegmentIDhour_sumday
200052376642.666667
140044912431.791667
70035023421.750000
60034189321.333333
00020644301.250000
90035681301.250000
240070495301.250000
170048509301.250000
10029490281.166667
300269872251.041667
230067747180.750000
210053880170.708333
160046498170.708333
190052369160.666667
30032928160.666667
150046294160.666667
130043358150.625000
120038710150.625000
220066083150.625000
250085164150.625000
80035511150.625000
260108149150.625000
270165292150.625000
40033171150.625000
20032497150.625000
100035970150.625000
180048512140.583333
290220873140.583333
110037346140.583333
50033977140.583333
280215772140.583333
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" ], "text/plain": [ " SegmentID hour_sum day\n", "20 0052376 64 2.666667\n", "14 0044912 43 1.791667\n", "7 0035023 42 1.750000\n", "6 0034189 32 1.333333\n", "0 0020644 30 1.250000\n", "9 0035681 30 1.250000\n", "24 0070495 30 1.250000\n", "17 0048509 30 1.250000\n", "1 0029490 28 1.166667\n", "30 0269872 25 1.041667\n", "23 0067747 18 0.750000\n", "21 0053880 17 0.708333\n", "16 0046498 17 0.708333\n", "19 0052369 16 0.666667\n", "3 0032928 16 0.666667\n", "15 0046294 16 0.666667\n", "13 0043358 15 0.625000\n", "12 0038710 15 0.625000\n", "22 0066083 15 0.625000\n", "25 0085164 15 0.625000\n", "8 0035511 15 0.625000\n", "26 0108149 15 0.625000\n", "27 0165292 15 0.625000\n", "4 0033171 15 0.625000\n", "2 0032497 15 0.625000\n", "10 0035970 15 0.625000\n", "18 0048512 14 0.583333\n", "29 0220873 14 0.583333\n", "11 0037346 14 0.583333\n", "5 0033977 14 0.583333\n", "28 0215772 14 0.583333" ] }, "execution_count": 124, "metadata": {}, "output_type": "execute_result" } ], "source": [ "street_hour=data[['SegmentID','hours']]\n", "street_hour['hour_sum_event'] = data['hours'].apply(lambda x: len(x)) \n", "street_hour_sum = street_hour.groupby('SegmentID').sum().reset_index()\n", "street_hour_sum = street_hour_sum.rename(columns={'hour_sum_event':'hour_sum'})\n", "street_hour_sum\n", "\n", "#Sort the table with the hour sum and turn the hour into days\n", "street_hour_sum = pd.DataFrame(street_hour_sum)\n", "street_hour_sum = street_hour_sum.sort_values(by='hour_sum')\n", "street_hour_sum['day']=street_hour_sum['hour_sum']/24\n", "\n", "street_hour_sum.sort_values('day',ascending=False)" ] }, { "cell_type": "code", "execution_count": 125, "id": "328e0ca7", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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EventIDEventTypeStartDateTimeEndDateTimeEnteredOnEventAgencyParkingHeldBoroughCommunityBoard(s)PolicePrecinct(s)...OFT_TextsegidsSegmentIDStreetgeometryStartEndTimeListhoursdayday_length
150558287Shooting Permit01/21/2021 7:00:00 AM01/21/2021 9:00:00 PM01/14/2021 1:35:06 PMMayor's Office of Film, Theatre & BroadcastingKINGSLAND AVENUE between NORMAN AVENUE and GRE...Brooklyn194...[KINGSLAND AVENUE between NORMAN AVENUE and GR...[0035681]0035681MONITOR STREETLINESTRING (999919.040 205536.203, 999847.829 ...[01/21/2021 7:00:00 AM, 01/21/2021 9:00:00 PM]DatetimeIndex(['2021-01-21 07:00:00', '2021-01...[7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, ...[2021-01-21]1
192559256Shooting Permit01/21/2021 6:00:00 AM01/21/2021 10:00:00 PM01/19/2021 3:44:55 PMMayor's Office of Film, Theatre & BroadcastingMONITOR STREET between GREENPOINT AVENUE and N...Brooklyn194...[MONITOR STREET between GREENPOINT AVENUE and ...[0035681, 0035681]0035681MONITOR STREETLINESTRING (999919.040 205536.203, 999847.829 ...[01/21/2021 6:00:00 AM, 01/21/2021 10:00:00 PM]DatetimeIndex(['2021-01-21 06:00:00', '2021-01...[6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 1...[2021-01-21]1
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2 rows × 23 columns

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" ], "text/plain": [ " EventID EventType StartDateTime EndDateTime \\\n", "150 558287 Shooting Permit 01/21/2021 7:00:00 AM 01/21/2021 9:00:00 PM \n", "192 559256 Shooting Permit 01/21/2021 6:00:00 AM 01/21/2021 10:00:00 PM \n", "\n", " EnteredOn EventAgency \\\n", "150 01/14/2021 1:35:06 PM Mayor's Office of Film, Theatre & Broadcasting \n", "192 01/19/2021 3:44:55 PM Mayor's Office of Film, Theatre & Broadcasting \n", "\n", " ParkingHeld Borough \\\n", "150 KINGSLAND AVENUE between NORMAN AVENUE and GRE... Brooklyn \n", "192 MONITOR STREET between GREENPOINT AVENUE and N... Brooklyn \n", "\n", " CommunityBoard(s) PolicePrecinct(s) ... \\\n", "150 1 94 ... \n", "192 1 94 ... \n", "\n", " OFT_Text segids \\\n", "150 [KINGSLAND AVENUE between NORMAN AVENUE and GR... [0035681] \n", "192 [MONITOR STREET between GREENPOINT AVENUE and ... [0035681, 0035681] \n", "\n", " SegmentID Street \\\n", "150 0035681 MONITOR STREET \n", "192 0035681 MONITOR STREET \n", "\n", " geometry \\\n", "150 LINESTRING (999919.040 205536.203, 999847.829 ... \n", "192 LINESTRING (999919.040 205536.203, 999847.829 ... \n", "\n", " StartEnd \\\n", "150 [01/21/2021 7:00:00 AM, 01/21/2021 9:00:00 PM] \n", "192 [01/21/2021 6:00:00 AM, 01/21/2021 10:00:00 PM] \n", "\n", " TimeList \\\n", "150 DatetimeIndex(['2021-01-21 07:00:00', '2021-01... \n", "192 DatetimeIndex(['2021-01-21 06:00:00', '2021-01... \n", "\n", " hours day \\\n", "150 [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, ... [2021-01-21] \n", "192 [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 1... [2021-01-21] \n", "\n", " day_length \n", "150 1 \n", "192 1 \n", "\n", "[2 rows x 23 columns]" ] }, "execution_count": 125, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# checking the top 3 duration street location\n", "data[data['SegmentID']=='0035681'].head()" ] }, { "cell_type": "markdown", "id": "6b9d0223", "metadata": {}, "source": [ "# Calculate Permit Time Duration by Time by Geo Unit" ] }, { "cell_type": "markdown", "id": "13e8ee48", "metadata": {}, "source": [ "## Extract Time Related Information from Timeframe " ] }, { "cell_type": "code", "execution_count": 131, "id": "a8128daa", "metadata": {}, "outputs": [], "source": [ "data = gpd.read_file(\"../output/film permit_city.shp\" )\n", "data_fil=data.drop(columns=['OBJECTID','Join_ID'])\n", "data_fil=data_fil.drop_duplicates().reset_index()" ] }, { "cell_type": "code", "execution_count": 134, "id": "249f5fa2", "metadata": {}, "outputs": [], "source": [ "#data prep for getting time and date related information\n", "data_fil['StartEnd'] = [[i, j] for i, j in zip( data_fil['StartDateT'], data_fil['EndDateTim'])]\n", "def range_to_list(a, b):\n", " return pd.date_range(a, b, freq = 'H')[:-1]\n", "data_fil['TimeList'] = data_fil['StartEnd'].apply(lambda x: range_to_list(x[0], x[1]))\n", "data_fil['hours'] = data_fil['TimeList'].apply(lambda x: list(x.hour))\n", "data_fil['month'] = data_fil['TimeList'].apply(lambda x: list(set(x.month)))\n", "data_fil['date'] = data_fil['TimeList'].apply(lambda x: list(set(x.date)))\n", "data_fil['hour_sum'] = data_fil['hours'].apply(lambda x: len(x)) \n", "\n", "data_fil['day_sum']=data_fil['hour_sum']/24\n", "data_fil['StartDateTime'] = data_fil['StartDateT'].apply(pd.to_datetime)" ] }, { "cell_type": "code", "execution_count": 135, "id": "635e658b", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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indexEventIDEventTypeStartDateTEndDateTimEnteredOnEventAgencParkingHelBoroughCommunityB...SegmentIDgeometryStartEndTimeListhoursdatehour_sumday_sumStartDateTimemonth
00628327Shooting Permit03/08/2022 07:00:00 AM03/08/2022 07:00:00 PM02/28/2022 11:13:50 AMMayor's Office of Film, Theatre & BroadcastingSUTTON STREET between NORMAN AVENUE and NASSAU...Brooklyn1...0065898LINESTRING (1000675.780 203773.602, 1000590.62...[03/08/2022 07:00:00 AM, 03/08/2022 07:00:00 PM]DatetimeIndex(['2022-03-08 07:00:00', '2022-03...[7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18][2022-03-08]120.5000002022-03-08 07:00:003.0
12629351Shooting Permit03/08/2022 07:00:00 AM03/08/2022 10:00:00 PM03/03/2022 02:51:17 PMMayor's Office of Film, Theatre & BroadcastingCOVERT ST between WYCKOFF AVENUE and IRVING AV...Queens5...0048509LINESTRING (1010582.250 192025.794, 1010809.74...[03/08/2022 07:00:00 AM, 03/08/2022 10:00:00 PM]DatetimeIndex(['2022-03-08 07:00:00', '2022-03...[7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, ...[2022-03-08]150.6250002022-03-08 07:00:003.0
23629319Shooting Permit03/08/2022 07:00:00 AM03/08/2022 09:00:00 PM03/03/2022 01:49:15 PMMayor's Office of Film, Theatre & BroadcastingWHITE STREET between SEIGEL STREET and MOORE S...Brooklyn1...0044431LINESTRING (1002265.974 195997.473, 1002202.52...[03/08/2022 07:00:00 AM, 03/08/2022 09:00:00 PM]DatetimeIndex(['2022-03-08 07:00:00', '2022-03...[7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, ...[2022-03-08]140.5833332022-03-08 07:00:003.0
34629319Shooting Permit03/08/2022 07:00:00 AM03/08/2022 09:00:00 PM03/03/2022 01:49:15 PMMayor's Office of Film, Theatre & BroadcastingWHITE STREET between SEIGEL STREET and MOORE S...Brooklyn1...0044457LINESTRING (1002202.526 196249.592, 1002715.21...[03/08/2022 07:00:00 AM, 03/08/2022 09:00:00 PM]DatetimeIndex(['2022-03-08 07:00:00', '2022-03...[7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, ...[2022-03-08]140.5833332022-03-08 07:00:003.0
45629319Shooting Permit03/08/2022 07:00:00 AM03/08/2022 09:00:00 PM03/03/2022 01:49:15 PMMayor's Office of Film, Theatre & BroadcastingWHITE STREET between SEIGEL STREET and MOORE S...Brooklyn1...0044453LINESTRING (1002022.559 196965.059, 1002571.01...[03/08/2022 07:00:00 AM, 03/08/2022 09:00:00 PM]DatetimeIndex(['2022-03-08 07:00:00', '2022-03...[7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, ...[2022-03-08]140.5833332022-03-08 07:00:003.0
..................................................................
3714544831623949Shooting Permit02/04/2022 08:00:00 AM02/04/2022 09:30:00 PM02/01/2022 01:32:18 PMMayor's Office of Film, Theatre & BroadcastingPEARL STREET between PECK SLIP and BEEKMAN STR...Manhattan1...0105864LINESTRING (982584.908 196291.744, 982718.819 ...[02/04/2022 08:00:00 AM, 02/04/2022 09:30:00 PM]DatetimeIndex(['2022-02-04 08:00:00', '2022-02...[8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,...[2022-02-04]130.5416672022-02-04 08:00:002.0
3714644832623949Shooting Permit02/04/2022 08:00:00 AM02/04/2022 09:30:00 PM02/01/2022 01:32:18 PMMayor's Office of Film, Theatre & BroadcastingPEARL STREET between PECK SLIP and BEEKMAN STR...Manhattan1...0023296LINESTRING (982183.843 196510.021, 982273.246 ...[02/04/2022 08:00:00 AM, 02/04/2022 09:30:00 PM]DatetimeIndex(['2022-02-04 08:00:00', '2022-02...[8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,...[2022-02-04]130.5416672022-02-04 08:00:002.0
3714744833623949Shooting Permit02/04/2022 08:00:00 AM02/04/2022 09:30:00 PM02/01/2022 01:32:18 PMMayor's Office of Film, Theatre & BroadcastingPEARL STREET between PECK SLIP and BEEKMAN STR...Manhattan1...0023304LINESTRING (982273.246 196628.042, 982369.951 ...[02/04/2022 08:00:00 AM, 02/04/2022 09:30:00 PM]DatetimeIndex(['2022-02-04 08:00:00', '2022-02...[8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,...[2022-02-04]130.5416672022-02-04 08:00:002.0
3714844834623949Shooting Permit02/04/2022 08:00:00 AM02/04/2022 09:30:00 PM02/01/2022 01:32:18 PMMayor's Office of Film, Theatre & BroadcastingPEARL STREET between PECK SLIP and BEEKMAN STR...Manhattan1...0023303None[02/04/2022 08:00:00 AM, 02/04/2022 09:30:00 PM]DatetimeIndex(['2022-02-04 08:00:00', '2022-02...[8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,...[2022-02-04]130.5416672022-02-04 08:00:002.0
3714944835623949Shooting Permit02/04/2022 08:00:00 AM02/04/2022 09:30:00 PM02/01/2022 01:32:18 PMMayor's Office of Film, Theatre & BroadcastingPEARL STREET between PECK SLIP and BEEKMAN STR...Manhattan1...0023182LINESTRING (981806.626 196495.926, 981736.245 ...[02/04/2022 08:00:00 AM, 02/04/2022 09:30:00 PM]DatetimeIndex(['2022-02-04 08:00:00', '2022-02...[8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,...[2022-02-04]130.5416672022-02-04 08:00:002.0
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37451 rows × 25 columns

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" ], "text/plain": [ " index EventID EventType StartDateT \\\n", "0 0 628327 Shooting Permit 03/08/2022 07:00:00 AM \n", "1 2 629351 Shooting Permit 03/08/2022 07:00:00 AM \n", "2 3 629319 Shooting Permit 03/08/2022 07:00:00 AM \n", "3 4 629319 Shooting Permit 03/08/2022 07:00:00 AM \n", "4 5 629319 Shooting Permit 03/08/2022 07:00:00 AM \n", "... ... ... ... ... \n", "37145 44831 623949 Shooting Permit 02/04/2022 08:00:00 AM \n", "37146 44832 623949 Shooting Permit 02/04/2022 08:00:00 AM \n", "37147 44833 623949 Shooting Permit 02/04/2022 08:00:00 AM \n", "37148 44834 623949 Shooting Permit 02/04/2022 08:00:00 AM \n", "37149 44835 623949 Shooting Permit 02/04/2022 08:00:00 AM \n", "\n", " EndDateTim EnteredOn \\\n", "0 03/08/2022 07:00:00 PM 02/28/2022 11:13:50 AM \n", "1 03/08/2022 10:00:00 PM 03/03/2022 02:51:17 PM \n", "2 03/08/2022 09:00:00 PM 03/03/2022 01:49:15 PM \n", "3 03/08/2022 09:00:00 PM 03/03/2022 01:49:15 PM \n", "4 03/08/2022 09:00:00 PM 03/03/2022 01:49:15 PM \n", "... ... ... \n", "37145 02/04/2022 09:30:00 PM 02/01/2022 01:32:18 PM \n", "37146 02/04/2022 09:30:00 PM 02/01/2022 01:32:18 PM \n", "37147 02/04/2022 09:30:00 PM 02/01/2022 01:32:18 PM \n", "37148 02/04/2022 09:30:00 PM 02/01/2022 01:32:18 PM \n", "37149 02/04/2022 09:30:00 PM 02/01/2022 01:32:18 PM \n", "\n", " EventAgenc \\\n", "0 Mayor's Office of Film, Theatre & Broadcasting \n", "1 Mayor's Office of Film, Theatre & Broadcasting \n", "2 Mayor's Office of Film, Theatre & Broadcasting \n", "3 Mayor's Office of Film, Theatre & Broadcasting \n", "4 Mayor's Office of Film, Theatre & Broadcasting \n", "... ... \n", "37145 Mayor's Office of Film, Theatre & Broadcasting \n", "37146 Mayor's Office of Film, Theatre & Broadcasting \n", "37147 Mayor's Office of Film, Theatre & Broadcasting \n", "37148 Mayor's Office of Film, Theatre & Broadcasting \n", "37149 Mayor's Office of Film, Theatre & Broadcasting \n", "\n", " ParkingHel Borough \\\n", "0 SUTTON STREET between NORMAN AVENUE and NASSAU... Brooklyn \n", "1 COVERT ST between WYCKOFF AVENUE and IRVING AV... Queens \n", "2 WHITE STREET between SEIGEL STREET and MOORE S... Brooklyn \n", "3 WHITE STREET between SEIGEL STREET and MOORE S... Brooklyn \n", "4 WHITE STREET between SEIGEL STREET and MOORE S... Brooklyn \n", "... ... ... \n", "37145 PEARL STREET between PECK SLIP and BEEKMAN STR... Manhattan \n", "37146 PEARL STREET between PECK SLIP and BEEKMAN STR... Manhattan \n", "37147 PEARL STREET between PECK SLIP and BEEKMAN STR... Manhattan \n", "37148 PEARL STREET between PECK SLIP and BEEKMAN STR... Manhattan \n", "37149 PEARL STREET between PECK SLIP and BEEKMAN STR... Manhattan \n", "\n", " CommunityB ... SegmentID \\\n", "0 1 ... 0065898 \n", "1 5 ... 0048509 \n", "2 1 ... 0044431 \n", "3 1 ... 0044457 \n", "4 1 ... 0044453 \n", "... ... ... ... \n", "37145 1 ... 0105864 \n", "37146 1 ... 0023296 \n", "37147 1 ... 0023304 \n", "37148 1 ... 0023303 \n", "37149 1 ... 0023182 \n", "\n", " geometry \\\n", "0 LINESTRING (1000675.780 203773.602, 1000590.62... \n", "1 LINESTRING (1010582.250 192025.794, 1010809.74... \n", "2 LINESTRING (1002265.974 195997.473, 1002202.52... \n", "3 LINESTRING (1002202.526 196249.592, 1002715.21... \n", "4 LINESTRING (1002022.559 196965.059, 1002571.01... \n", "... ... \n", "37145 LINESTRING (982584.908 196291.744, 982718.819 ... \n", "37146 LINESTRING (982183.843 196510.021, 982273.246 ... \n", "37147 LINESTRING (982273.246 196628.042, 982369.951 ... \n", "37148 None \n", "37149 LINESTRING (981806.626 196495.926, 981736.245 ... \n", "\n", " StartEnd \\\n", "0 [03/08/2022 07:00:00 AM, 03/08/2022 07:00:00 PM] \n", "1 [03/08/2022 07:00:00 AM, 03/08/2022 10:00:00 PM] \n", "2 [03/08/2022 07:00:00 AM, 03/08/2022 09:00:00 PM] \n", "3 [03/08/2022 07:00:00 AM, 03/08/2022 09:00:00 PM] \n", "4 [03/08/2022 07:00:00 AM, 03/08/2022 09:00:00 PM] \n", "... ... \n", "37145 [02/04/2022 08:00:00 AM, 02/04/2022 09:30:00 PM] \n", "37146 [02/04/2022 08:00:00 AM, 02/04/2022 09:30:00 PM] \n", "37147 [02/04/2022 08:00:00 AM, 02/04/2022 09:30:00 PM] \n", "37148 [02/04/2022 08:00:00 AM, 02/04/2022 09:30:00 PM] \n", "37149 [02/04/2022 08:00:00 AM, 02/04/2022 09:30:00 PM] \n", "\n", " TimeList \\\n", "0 DatetimeIndex(['2022-03-08 07:00:00', '2022-03... \n", "1 DatetimeIndex(['2022-03-08 07:00:00', '2022-03... \n", "2 DatetimeIndex(['2022-03-08 07:00:00', '2022-03... \n", "3 DatetimeIndex(['2022-03-08 07:00:00', '2022-03... \n", "4 DatetimeIndex(['2022-03-08 07:00:00', '2022-03... \n", "... ... \n", "37145 DatetimeIndex(['2022-02-04 08:00:00', '2022-02... \n", "37146 DatetimeIndex(['2022-02-04 08:00:00', '2022-02... \n", "37147 DatetimeIndex(['2022-02-04 08:00:00', '2022-02... \n", "37148 DatetimeIndex(['2022-02-04 08:00:00', '2022-02... \n", "37149 DatetimeIndex(['2022-02-04 08:00:00', '2022-02... \n", "\n", " hours date \\\n", "0 [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] [2022-03-08] \n", "1 [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, ... [2022-03-08] \n", "2 [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, ... [2022-03-08] \n", "3 [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, ... [2022-03-08] \n", "4 [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, ... [2022-03-08] \n", "... ... ... \n", "37145 [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,... [2022-02-04] \n", "37146 [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,... [2022-02-04] \n", "37147 [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,... [2022-02-04] \n", "37148 [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,... [2022-02-04] \n", "37149 [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,... [2022-02-04] \n", "\n", " hour_sum day_sum StartDateTime month \n", "0 12 0.500000 2022-03-08 07:00:00 3.0 \n", "1 15 0.625000 2022-03-08 07:00:00 3.0 \n", "2 14 0.583333 2022-03-08 07:00:00 3.0 \n", "3 14 0.583333 2022-03-08 07:00:00 3.0 \n", "4 14 0.583333 2022-03-08 07:00:00 3.0 \n", "... ... ... ... ... \n", "37145 13 0.541667 2022-02-04 08:00:00 2.0 \n", "37146 13 0.541667 2022-02-04 08:00:00 2.0 \n", "37147 13 0.541667 2022-02-04 08:00:00 2.0 \n", "37148 13 0.541667 2022-02-04 08:00:00 2.0 \n", "37149 13 0.541667 2022-02-04 08:00:00 2.0 \n", "\n", "[37451 rows x 25 columns]" ] }, "execution_count": 135, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# change month columns from list to string\n", "month1 = data_fil.apply(lambda x: pd.Series(x['month']),axis=1).stack().reset_index(level=1, drop=True)\n", "month1.name = 'month'\n", "data_fil = data_fil.drop('month', axis=1).join(month1)\n", "data_fil['month'] = data_fil['month'].astype(str)\n", "data_fil.head()" ] }, { "cell_type": "markdown", "id": "2688d29f", "metadata": {}, "source": [ "## Obtain Geo Unit Information by Sptial Join" ] }, { "cell_type": "code", "execution_count": 136, "id": "19d5eb63", "metadata": {}, "outputs": [], "source": [ "# create buffer for avoiding the census tract boundary and street segment overlapping conflicts\n", "data_time_buffer=data_fil\n", "data_time_buffer['geometry']= data_time_buffer.buffer(3,cap_style=2)" ] }, { "cell_type": "code", "execution_count": 137, "id": "7f032709", "metadata": {}, "outputs": [], "source": [ "# spatial join with census tract shapefile\n", "ct_data_time = ct_sel.sjoin(data_time_buffer, how=\"left\")\n", "ct_data_time=ct_data_time.dropna().reset_index()" ] }, { "cell_type": "code", "execution_count": 138, "id": "9bf0ecd9", "metadata": {}, "outputs": [], "source": [ "#spatial join with Council District 33 shapefile to get CD data \n", "cd = gpd.read_file(\"../vector/Council Districts/nycc.shp\")\n", "cd33 = cd[cd['CounDist']==33]\n", "ct_time_cd33 = gpd.overlay(ct_data_time, cd33, how='intersection')" ] }, { "cell_type": "markdown", "id": "7aded5a2", "metadata": {}, "source": [ "## Sum Up Time Duration by Census Tract" ] }, { "cell_type": "code", "execution_count": 139, "id": "e8bbc29b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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656 rows × 4 columns

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" ], "text/plain": [ " BoroCT2020 month hour_sum day_sum\n", "401 3051100 2 1.0 0.041667\n", "96 3001100 1 2.0 0.083333\n", "279 3012700 1 4.0 0.166667\n", "653 3059300 8 5.0 0.208333\n", "635 3058902 8 5.0 0.208333\n", ".. ... ... ... ...\n", "621 3058901 3 1186.0 49.416667\n", "620 3058901 2 1552.0 64.666667\n", "607 3057902 1 1555.0 64.791667\n", "609 3057902 3 1606.0 66.916667\n", "608 3057902 2 1893.0 78.875000\n", "\n", "[656 rows x 4 columns]" ] }, "execution_count": 139, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ct_time_cd33_forsum=ct_time_cd33[['BoroCT2020','EventID','hour_sum','day_sum','month']]\n", "ct_time_cd33_forsum=ct_time_cd33_forsum.drop_duplicates()\n", "ct_time_cd33_forsum['month']= ct_time_cd33_forsum['month'].astype(float).astype(int)\n", "\n", "ct_time_sum = ct_time_cd33_forsum[['BoroCT2020','hour_sum','day_sum','month']].groupby(by=[\n", " 'BoroCT2020','month']).sum()\n", "ct_time_sum = ct_time_sum.reset_index()\n", "ct_time_sum.sort_values('day_sum')" ] }, { "cell_type": "markdown", "id": "4c2f66e7", "metadata": {}, "source": [ "## Create Pivot Table" ] }, { "cell_type": "code", "execution_count": 140, "id": "51a4f3fe", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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day_sum
month123456789101112
BoroCT2020
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10015027.62500010.7083331.2916674.2083337.5416672.79166711.0416676.08333312.54166710.7083333.2083331.166667
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.......................................
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30589021.4583333.0416672.6250000.750000NaNNaNNaN0.2083331.333333NaN2.708333NaN
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30593000.6250002.3333332.6250001.416667NaNNaN0.7500000.2083331.333333NaN1.083333NaN
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84 rows × 12 columns

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" ], "text/plain": [ " day_sum \\\n", "month 1 2 3 4 5 6 \n", "BoroCT2020 \n", "1000900 1.083333 2.541667 1.916667 1.958333 2.125000 NaN \n", "1001501 1.083333 4.416667 0.333333 1.625000 2.416667 1.708333 \n", "1001502 7.625000 10.708333 1.291667 4.208333 7.541667 2.791667 \n", "1002400 NaN NaN NaN NaN 0.500000 NaN \n", "1004400 NaN NaN NaN NaN NaN NaN \n", "... ... ... ... ... ... ... \n", "3057902 64.791667 78.875000 66.916667 40.333333 29.666667 15.958333 \n", "3058901 48.958333 64.666667 49.416667 29.500000 17.416667 10.250000 \n", "3058902 1.458333 3.041667 2.625000 0.750000 NaN NaN \n", "3059100 1.500000 3.250000 2.083333 NaN NaN 0.416667 \n", "3059300 0.625000 2.333333 2.625000 1.416667 NaN NaN \n", "\n", " \n", "month 7 8 9 10 11 12 \n", "BoroCT2020 \n", "1000900 4.583333 2.291667 1.916667 1.583333 3.916667 1.916667 \n", "1001501 7.000000 4.708333 4.416667 6.000000 4.166667 0.500000 \n", "1001502 11.041667 6.083333 12.541667 10.708333 3.208333 1.166667 \n", "1002400 NaN NaN NaN NaN NaN NaN \n", "1004400 NaN NaN NaN 0.666667 NaN NaN \n", "... ... ... ... ... ... ... \n", "3057902 13.125000 36.083333 30.000000 38.375000 34.625000 22.708333 \n", "3058901 11.250000 19.500000 19.750000 25.791667 29.875000 17.916667 \n", "3058902 NaN 0.208333 1.333333 NaN 2.708333 NaN \n", "3059100 0.750000 1.875000 1.291667 3.166667 3.916667 0.541667 \n", "3059300 0.750000 0.208333 1.333333 NaN 1.083333 NaN \n", "\n", "[84 rows x 12 columns]" ] }, "execution_count": 140, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ct_time_sum = ct_time_sum.pivot_table(index =['BoroCT2020'], values =['day_sum'],columns='month')\n", "ct_time_sum" ] }, { "cell_type": "code", "execution_count": 141, "id": "eeef77c6", "metadata": {}, "outputs": [], "source": [ "#Exporting pivot table dataset to csv file\n", "# ct_time_sum.to_csv('../output/Pivot_permits_cd33_time.csv')\n", "\n", "#Uncomment the code above if you need to access the dataset without download it" ] }, { "cell_type": "markdown", "id": "4e5f85fc", "metadata": {}, "source": [ "# Data Parsing" ] }, { "cell_type": "markdown", "id": "0bfc8e2c", "metadata": {}, "source": [ "## Parsing the Film Studio List " ] }, { "cell_type": "code", "execution_count": 142, "id": "fa0d2579", "metadata": {}, "outputs": [], "source": [ "import requests\n", "from bs4 import BeautifulSoup\n", "import usaddress\n", "import os" ] }, { "cell_type": "code", "execution_count": 143, "id": "6c245316", "metadata": {}, "outputs": [], "source": [ "#input the webpage we try to parse\n", "#read the page with BeautifulSoup and extract ti\n", "\n", "url = \"https://www1.nyc.gov/site/mome/industries/studios-stages.page\"\n", "req = requests.get(url)\n", "soup = BeautifulSoup(req.text, \"lxml\")" ] }, { "cell_type": "code", "execution_count": 144, "id": "cb48c865", "metadata": {}, "outputs": [], "source": [ "#get addresses from each table row\n", "facilities = []\n", "\n", "content = soup.find_all('tr')\n", "for i, row in enumerate(content):\n", " #skip header\n", " if i == 0:\n", " continue\n", " \n", " \n", " cell = row.find_all('td')[0]\n", " facility = row.find_all('td')[-1].text\n", " try:\n", " title = cell.find('strong').text\n", " except:\n", " title = cell.find('a').text \n", "\n", " text = cell.get_text(separator = ',', strip = True)\n", " address = text.replace(title,'', 1)\n", " address = address.replace(',','', 1)\n", " facilities.append([title,address,facility])" ] }, { "cell_type": "code", "execution_count": 145, "id": "820685bb", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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NameAddressType
01717 Troutman1717 Troutman Street, #300,Ridgewood, NY 11385Not applicable
1The 1896 Studio & Stages592 Johnson Avenue/,211-215 Ingraham Avenue,Br...Level 1
219th Avenue Stage19-02 Steinway Street,Astoria, NY 11105Level 2
3718 Studios130 Thames Street,Brooklyn, NY 11247,718studio...Not applicable
494 Jewel St.94 Jewel Street, Ground level,Brooklyn, NY 112...Not applicable
\n", "
" ], "text/plain": [ " Name \\\n", "0 1717 Troutman \n", "1 The 1896 Studio & Stages \n", "2 19th Avenue Stage \n", "3 718 Studios \n", "4 94 Jewel St. \n", "\n", " Address Type \n", "0 1717 Troutman Street, #300,Ridgewood, NY 11385 Not applicable \n", "1 592 Johnson Avenue/,211-215 Ingraham Avenue,Br... Level 1 \n", "2 19-02 Steinway Street,Astoria, NY 11105 Level 2 \n", "3 130 Thames Street,Brooklyn, NY 11247,718studio... Not applicable \n", "4 94 Jewel Street, Ground level,Brooklyn, NY 112... Not applicable " ] }, "execution_count": 145, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#create the studio dataset from the parsing data\n", "facilities_df = pd.DataFrame(facilities, columns = ['Name','Address','Type'])\n", "facilities_df.head()" ] }, { "cell_type": "code", "execution_count": 146, "id": "66269c1c", "metadata": {}, "outputs": [], "source": [ "#data in the address is too dirty, so I manual it clean it on excel and import it again.\n", "#but you can find better way to fix it.\n", "facilities_df2 = pd.read_csv('facilities_df_geocoded.csv')" ] }, { "cell_type": "markdown", "id": "7b02a070", "metadata": {}, "source": [ "## Geocoding for Parsing Data" ] }, { "cell_type": "code", "execution_count": 147, "id": "01f7dae3", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 1717 Troutman Street , 11385\n", "1 592 Johnson Avenue , 11237\n", "2 19-02 Steinway Street , 11105\n", "3 130 Thames Street , 11247\n", "4 94 Jewel Street , 11222\n", " ... \n", "126 21-10 51st Avenue , 11101\n", "127 3905 2nd Avenue , 11232\n", "128 320 West 66th Street , 10023\n", "129 300 Kingsland Avenue , 11234\n", "130 55 Broadway , 10007\n", "Name: _Address, Length: 131, dtype: object" ] }, "execution_count": 147, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#clean up addresses before geocoding\n", "def cleanAddreses(row):\n", " addr = row['Address']\n", " #past to usaddrees, if it fails use blank\n", " try:\n", " addr_tags = usaddress.tag(row['Address'])[0]\n", " except:\n", " return ''\n", " \n", " #use keep array to order a return with the address items needed + comma before zipcode\n", " keep_addr_tags = ['AddressNumber','StreetNamePreDirectional', 'StreetName', 'StreetNamePostType', '_Comma', 'ZipCode']\n", " addr_tags['_Comma'] = ','\n", " cleaned_addr = ''\n", " \n", " for tag in keep_addr_tags:\n", " if tag in addr_tags:\n", " cleaned_addr = f'{cleaned_addr} {addr_tags[tag]}'\n", " return cleaned_addr\n", " \n", "facilities_df2['_Address'] = facilities_df2.apply(cleanAddreses, axis = 1)\n", "\n", "facilities_df2['_Address']" ] }, { "cell_type": "code", "execution_count": 148, "id": "d523f19d", "metadata": {}, "outputs": [], "source": [ "#if file exist then import, otherwise copy from facilities_df... this will help with manual fixes\n", "file = 'facilities_df_geocoded.csv'\n", "if os.path.exists(file):\n", " facilities_df_geocoded = pd.read_csv(file)\n", "else:\n", " facilities_df_geocoded = facilities_df2.copy()\n", " facilities_df_geocoded.to_csv(file, index = False)\n", " print('facilities_df_geocoded generated')\n", "\n", "geocoded = []\n", "def geocode(row):\n", " lat, lng = np.nan, np.nan\n", " if 'bbl' in row:\n", " bbl = row['bbl']\n", " else:\n", " bbl = np.nan\n", " addr = row['_Address']\n", " #only geocode if bbl is blank (NA) and addr is not empty\n", " if pd.isna(bbl) and (addr != '' and pd.notna(addr)):\n", " print(bbl, addr)\n", " \n", " #geocode! \n", " url = f'https://geosearch.planninglabs.nyc/v1/search?text={addr}&size=120'\n", " r = requests.get(url)\n", " features = r.json()['features']\n", " if len(features):\n", " feature = features[0]\n", " lng, lat = feature['geometry']['coordinates']\n", " bbl = feature['properties']['pad_bbl']\n", "\n", " \n", " return pd.Series([lat,lng, bbl])\n", " \n", "\n", "facilities_df_geocoded[['lat','lng','bbl']] = facilities_df_geocoded.apply(geocode, axis = 1)\n", "\n", "#save results to file\n", "# facilities_df_geocoded.to_csv('facilities_df_geocoded.csv', index = False)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.8" } }, "nbformat": 4, "nbformat_minor": 5 }