{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os\n", "import pandas as pd\n", "import numpy as np\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "from IPython.core.display import display, HTML\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from zipfile import ZipFile\n", "import geopandas as gpd\n", "from shapely.geometry import Point" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pd.options.display.max_columns = None\n", "display(HTML(\"\"))" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "ZIP_SHP_PATH = os.path.join('zip://', 'data', 'Boundaries - Census Tracts - 2010.zip')\n", "coord_system = {'init': 'epsg:4326'}\n", "chicago_census_tracts = gpd.read_file(ZIP_SHP_PATH).to_crs(coord_system)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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statefp10countyfp10tractce10namelsad10commareageoid10commarea_nname10notesgeometry
017031842400Census Tract 8424441703184240044.08424NonePOLYGON ((-87.62404799998049 41.73021699998396...
117031840300Census Tract 8403591703184030059.08403NonePOLYGON ((-87.6860799999848 41.82295600001154,...
217031841100Census Tract 8411341703184110034.08411NonePOLYGON ((-87.62934700001183 41.8527970000265,...
317031841200Census Tract 8412311703184120031.08412NonePOLYGON ((-87.68813499997718 41.85569099999095...
417031838200Census Tract 8382281703183820028.08382NonePOLYGON ((-87.66781999997529 41.8741839999791,...
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" ], "text/plain": [ " statefp10 countyfp10 tractce10 namelsad10 commarea geoid10 \\\n", "0 17 031 842400 Census Tract 8424 44 17031842400 \n", "1 17 031 840300 Census Tract 8403 59 17031840300 \n", "2 17 031 841100 Census Tract 8411 34 17031841100 \n", "3 17 031 841200 Census Tract 8412 31 17031841200 \n", "4 17 031 838200 Census Tract 8382 28 17031838200 \n", "\n", " commarea_n name10 notes geometry \n", "0 44.0 8424 None POLYGON ((-87.62404799998049 41.73021699998396... \n", "1 59.0 8403 None POLYGON ((-87.6860799999848 41.82295600001154,... \n", "2 34.0 8411 None POLYGON ((-87.62934700001183 41.8527970000265,... \n", "3 31.0 8412 None POLYGON ((-87.68813499997718 41.85569099999095... \n", "4 28.0 8382 None POLYGON ((-87.66781999997529 41.8741839999791,... " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "chicago_census_tracts.head()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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IdId2GeographyEstimate; SEX AND AGE - Total populationMargin of Error; SEX AND AGE - Total populationPercent; SEX AND AGE - Total populationPercent Margin of Error; SEX AND AGE - Total populationEstimate; SEX AND AGE - Total population - MaleMargin of Error; SEX AND AGE - Total population - MalePercent; SEX AND AGE - Total population - MalePercent Margin of Error; SEX AND AGE - Total population - MaleEstimate; SEX AND AGE - Total population - FemaleMargin of Error; SEX AND AGE - Total population - FemalePercent; SEX AND AGE - Total population - FemalePercent Margin of Error; SEX AND AGE - Total population - FemaleEstimate; SEX AND AGE - Under 5 yearsMargin of Error; SEX AND AGE - Under 5 yearsPercent; SEX AND AGE - Under 5 yearsPercent Margin of Error; SEX AND AGE - Under 5 yearsEstimate; SEX AND AGE - 5 to 9 yearsMargin of Error; SEX AND AGE - 5 to 9 yearsPercent; SEX AND AGE - 5 to 9 yearsPercent Margin of Error; SEX AND AGE - 5 to 9 yearsEstimate; SEX AND AGE - 10 to 14 yearsMargin of Error; SEX AND AGE - 10 to 14 yearsPercent; SEX AND AGE - 10 to 14 yearsPercent Margin of Error; SEX AND AGE - 10 to 14 yearsEstimate; SEX AND AGE - 15 to 19 yearsMargin of Error; SEX AND AGE - 15 to 19 yearsPercent; SEX AND AGE - 15 to 19 yearsPercent Margin of Error; SEX AND AGE - 15 to 19 yearsEstimate; SEX AND AGE - 20 to 24 yearsMargin of Error; SEX AND AGE - 20 to 24 yearsPercent; SEX AND AGE - 20 to 24 yearsPercent Margin of Error; SEX AND AGE - 20 to 24 yearsEstimate; SEX AND AGE - 25 to 34 yearsMargin of Error; SEX AND AGE - 25 to 34 yearsPercent; SEX AND AGE - 25 to 34 yearsPercent Margin of Error; SEX AND AGE - 25 to 34 yearsEstimate; SEX AND AGE - 35 to 44 yearsMargin of Error; SEX AND AGE - 35 to 44 yearsPercent; SEX AND AGE - 35 to 44 yearsPercent Margin of Error; SEX AND AGE - 35 to 44 yearsEstimate; SEX AND AGE - 45 to 54 yearsMargin of Error; SEX AND AGE - 45 to 54 yearsPercent; SEX AND AGE - 45 to 54 yearsPercent Margin of Error; SEX AND AGE - 45 to 54 yearsEstimate; SEX AND AGE - 55 to 59 yearsMargin of Error; SEX AND AGE - 55 to 59 yearsPercent; SEX AND AGE - 55 to 59 yearsPercent Margin of Error; SEX AND AGE - 55 to 59 yearsEstimate; SEX AND AGE - 60 to 64 yearsMargin of Error; SEX AND AGE - 60 to 64 yearsPercent; SEX AND AGE - 60 to 64 yearsPercent Margin of Error; SEX AND AGE - 60 to 64 yearsEstimate; SEX AND AGE - 65 to 74 yearsMargin of Error; SEX AND AGE - 65 to 74 yearsPercent; SEX AND AGE - 65 to 74 yearsPercent Margin of Error; SEX AND AGE - 65 to 74 yearsEstimate; SEX AND AGE - 75 to 84 yearsMargin of Error; SEX AND AGE - 75 to 84 yearsPercent; SEX AND AGE - 75 to 84 yearsPercent Margin of Error; SEX AND AGE - 75 to 84 yearsEstimate; SEX AND AGE - 85 years and overMargin of Error; SEX AND AGE - 85 years and overPercent; SEX AND AGE - 85 years and overPercent Margin of Error; SEX AND AGE - 85 years and overEstimate; SEX AND AGE - Median age (years)Margin of Error; SEX AND AGE - Median age (years)Percent; SEX AND AGE - Median age (years)Percent Margin of Error; SEX AND AGE - Median age (years)Estimate; SEX AND AGE - 18 years and overMargin of Error; SEX AND AGE - 18 years and overPercent; SEX AND AGE - 18 years and overPercent Margin of Error; SEX AND AGE - 18 years and overEstimate; SEX AND AGE - 21 years and overMargin of Error; SEX AND AGE - 21 years and overPercent; SEX AND AGE - 21 years and overPercent Margin of Error; SEX AND AGE - 21 years and overEstimate; SEX AND AGE - 62 years and overMargin of Error; SEX AND AGE - 62 years and overPercent; SEX AND AGE - 62 years and overPercent Margin of Error; SEX AND AGE - 62 years and overEstimate; SEX AND AGE - 65 years and overMargin of Error; SEX AND AGE - 65 years and overPercent; SEX AND AGE - 65 years and overPercent Margin of Error; SEX AND AGE - 65 years and overEstimate; SEX AND AGE - 18 years and over.1Margin of Error; SEX AND AGE - 18 years and over.1Percent; SEX AND AGE - 18 years and over.1Percent Margin of Error; SEX AND AGE - 18 years and over.1Estimate; SEX AND AGE - 18 years and over - MaleMargin of Error; SEX AND AGE - 18 years and over - MalePercent; SEX AND AGE - 18 years and over - MalePercent Margin of Error; SEX AND AGE - 18 years and over - MaleEstimate; SEX AND AGE - 18 years and over - FemaleMargin of Error; SEX AND AGE - 18 years and over - FemalePercent; SEX AND AGE - 18 years and over - FemalePercent Margin of Error; SEX AND AGE - 18 years and over - FemaleEstimate; SEX AND AGE - 65 years and over.1Margin of Error; SEX AND AGE - 65 years and over.1Percent; SEX AND AGE - 65 years and over.1Percent Margin of Error; SEX AND AGE - 65 years and over.1Estimate; SEX AND AGE - 65 years and over - MaleMargin of Error; SEX AND AGE - 65 years and over - MalePercent; SEX AND AGE - 65 years and over - MalePercent Margin of Error; SEX AND AGE - 65 years and over - MaleEstimate; SEX AND AGE - 65 years and over - FemaleMargin of Error; SEX AND AGE - 65 years and over - FemalePercent; SEX AND AGE - 65 years and over - FemalePercent Margin of Error; SEX AND AGE - 65 years and over - FemaleEstimate; RACE - Total populationMargin of Error; RACE - Total populationPercent; RACE - Total populationPercent Margin of Error; RACE - Total populationEstimate; RACE - Total population - One raceMargin of Error; RACE - Total population - One racePercent; RACE - Total population - One racePercent Margin of Error; RACE - Total population - One raceEstimate; RACE - Total population - Two or more racesMargin of Error; RACE - Total population - Two or more racesPercent; RACE - Total population - Two or more racesPercent Margin of Error; RACE - Total population - Two or more racesEstimate; RACE - One raceMargin of Error; RACE - One racePercent; RACE - One racePercent Margin of Error; RACE - One raceEstimate; RACE - One race - WhiteMargin of Error; RACE - One race - WhitePercent; RACE - One race - WhitePercent Margin of Error; RACE - One race - WhiteEstimate; RACE - One race - Black or African AmericanMargin of Error; RACE - One race - Black or African AmericanPercent; RACE - One race - Black or African AmericanPercent Margin of Error; RACE - One race - Black or African AmericanEstimate; RACE - One race - American Indian and Alaska NativeMargin of Error; RACE - One race - American Indian and Alaska NativePercent; RACE - One race - American Indian and Alaska NativePercent Margin of Error; RACE - One race - American Indian and Alaska NativeEstimate; RACE - One race - American Indian and Alaska Native - Cherokee tribal groupingMargin of Error; RACE - One race - American Indian and Alaska Native - Cherokee tribal groupingPercent; RACE - One race - American Indian and Alaska Native - Cherokee tribal groupingPercent Margin of Error; RACE - One race - American Indian and Alaska Native - Cherokee tribal groupingEstimate; RACE - One race - American Indian and Alaska Native - Chippewa tribal groupingMargin of Error; RACE - One race - American Indian and Alaska Native - Chippewa tribal groupingPercent; RACE - One race - American Indian and Alaska Native - Chippewa tribal groupingPercent Margin of Error; RACE - One race - American Indian and Alaska Native - Chippewa tribal groupingEstimate; RACE - One race - American Indian and Alaska Native - Navajo tribal groupingMargin of Error; RACE - One race - American Indian and Alaska Native - Navajo tribal groupingPercent; RACE - One race - American Indian and Alaska Native - Navajo tribal groupingPercent Margin of Error; RACE - One race - American Indian and Alaska Native - Navajo tribal groupingEstimate; RACE - One race - American Indian and Alaska Native - Sioux tribal groupingMargin of Error; RACE - One race - American Indian and Alaska Native - Sioux tribal groupingPercent; RACE - One race - American Indian and Alaska Native - Sioux tribal groupingPercent Margin of Error; RACE - One race - American Indian and Alaska Native - Sioux tribal groupingEstimate; RACE - One race - AsianMargin of Error; RACE - One race - AsianPercent; RACE - One race - AsianPercent Margin of Error; RACE - One race - AsianEstimate; RACE - One race - Asian - Asian IndianMargin of Error; RACE - One race - Asian - Asian IndianPercent; RACE - One race - Asian - Asian IndianPercent Margin of Error; RACE - One race - Asian - Asian IndianEstimate; RACE - One race - Asian - ChineseMargin of Error; RACE - One race - Asian - ChinesePercent; RACE - One race - Asian - ChinesePercent Margin of Error; RACE - One race - Asian - ChineseEstimate; RACE - One race - Asian - FilipinoMargin of Error; RACE - One race - Asian - FilipinoPercent; RACE - One race - Asian - FilipinoPercent Margin of Error; RACE - One race - Asian - FilipinoEstimate; RACE - One race - Asian - JapaneseMargin of Error; RACE - One race - Asian - JapanesePercent; RACE - One race - Asian - JapanesePercent Margin of Error; RACE - One race - Asian - JapaneseEstimate; RACE - One race - Asian - KoreanMargin of Error; RACE - One race - Asian - KoreanPercent; RACE - One race - Asian - KoreanPercent Margin of Error; RACE - One race - Asian - KoreanEstimate; RACE - One race - Asian - VietnameseMargin of Error; RACE - One race - Asian - VietnamesePercent; RACE - One race - Asian - VietnamesePercent Margin of Error; RACE - One race - Asian - VietnameseEstimate; RACE - One race - Asian - Other AsianMargin of Error; RACE - One race - Asian - Other AsianPercent; RACE - One race - Asian - Other AsianPercent Margin of Error; RACE - One race - Asian - Other AsianEstimate; RACE - One race - Native Hawaiian and Other Pacific IslanderMargin of Error; RACE - One race - Native Hawaiian and Other Pacific IslanderPercent; RACE - One race - Native Hawaiian and Other Pacific IslanderPercent Margin of Error; RACE - One race - Native Hawaiian and Other Pacific IslanderEstimate; RACE - One race - Native Hawaiian and Other Pacific Islander - Native HawaiianMargin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander - Native HawaiianPercent; RACE - One race - Native Hawaiian and Other Pacific Islander - Native HawaiianPercent Margin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander - Native HawaiianEstimate; RACE - One race - Native Hawaiian and Other Pacific Islander - Guamanian or ChamorroMargin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander - Guamanian or ChamorroPercent; RACE - One race - Native Hawaiian and Other Pacific Islander - Guamanian or ChamorroPercent Margin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander - Guamanian or ChamorroEstimate; RACE - One race - Native Hawaiian and Other Pacific Islander - SamoanMargin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander - SamoanPercent; RACE - One race - Native Hawaiian and Other Pacific Islander - SamoanPercent Margin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander - SamoanEstimate; RACE - One race - Native Hawaiian and Other Pacific Islander - Other Pacific IslanderMargin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander - Other Pacific IslanderPercent; RACE - One race - Native Hawaiian and Other Pacific Islander - Other Pacific IslanderPercent Margin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander - Other Pacific IslanderEstimate; RACE - One race - Some other raceMargin of Error; RACE - One race - Some other racePercent; RACE - One race - Some other racePercent Margin of Error; RACE - One race - Some other raceEstimate; RACE - Two or more racesMargin of Error; RACE - Two or more racesPercent; RACE - Two or more racesPercent Margin of Error; RACE - Two or more racesEstimate; RACE - Two or more races - White and Black or African AmericanMargin of Error; RACE - Two or more races - White and Black or African AmericanPercent; RACE - Two or more races - White and Black or African AmericanPercent Margin of Error; RACE - Two or more races - White and Black or African AmericanEstimate; RACE - Two or more races - White and American Indian and Alaska NativeMargin of Error; RACE - Two or more races - White and American Indian and Alaska NativePercent; RACE - Two or more races - White and American Indian and Alaska NativePercent Margin of Error; RACE - Two or more races - White and American Indian and Alaska NativeEstimate; RACE - Two or more races - White and AsianMargin of Error; RACE - Two or more races - White and AsianPercent; RACE - Two or more races - White and AsianPercent Margin of Error; RACE - Two or more races - White and AsianEstimate; RACE - Two or more races - Black or African American and American Indian and Alaska NativeMargin of Error; RACE - Two or more races - Black or African American and American Indian and Alaska NativePercent; RACE - Two or more races - Black or African American and American Indian and Alaska NativePercent Margin of Error; RACE - Two or more races - Black or African American and American Indian and Alaska NativeEstimate; RACE - Race alone or in combination with one or more other races - Total populationMargin of Error; RACE - Race alone or in combination with one or more other races - Total populationPercent; RACE - Race alone or in combination with one or more other races - Total populationPercent Margin of Error; RACE - Race alone or in combination with one or more other races - Total populationEstimate; RACE - Race alone or in combination with one or more other races - Total population - WhiteMargin of Error; RACE - Race alone or in combination with one or more other races - Total population - WhitePercent; RACE - Race alone or in combination with one or more other races - Total population - WhitePercent Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - WhiteEstimate; RACE - Race alone or in combination with one or more other races - Total population - Black or African AmericanMargin of Error; RACE - Race alone or in combination with one or more other races - Total population - Black or African AmericanPercent; RACE - Race alone or in combination with one or more other races - Total population - Black or African AmericanPercent Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - Black or African AmericanEstimate; RACE - Race alone or in combination with one or more other races - Total population - American Indian and Alaska NativeMargin of Error; RACE - Race alone or in combination with one or more other races - Total population - American Indian and Alaska NativePercent; RACE - Race alone or in combination with one or more other races - Total population - American Indian and Alaska NativePercent Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - American Indian and Alaska NativeEstimate; RACE - Race alone or in combination with one or more other races - Total population - AsianMargin of Error; RACE - Race alone or in combination with one or more other races - Total population - AsianPercent; RACE - Race alone or in combination with one or more other races - Total population - AsianPercent Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - AsianEstimate; RACE - Race alone or in combination with one or more other races - Total population - Native Hawaiian and Other Pacific IslanderMargin of Error; RACE - Race alone or in combination with one or more other races - Total population - Native Hawaiian and Other Pacific IslanderPercent; RACE - Race alone or in combination with one or more other races - Total population - Native Hawaiian and Other Pacific IslanderPercent Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - Native Hawaiian and Other Pacific IslanderEstimate; RACE - Race alone or in combination with one or more other races - Total population - Some other raceMargin of Error; RACE - Race alone or in combination with one or more other races - Total population - Some other racePercent; RACE - Race alone or in combination with one or more other races - Total population - Some other racePercent Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - Some other raceEstimate; HISPANIC OR LATINO AND RACE - Total populationMargin of Error; HISPANIC OR LATINO AND RACE - Total populationPercent; HISPANIC OR LATINO AND RACE - Total populationPercent Margin of Error; HISPANIC OR LATINO AND RACE - Total populationEstimate; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race)Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race)Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race)Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race)Estimate; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - MexicanMargin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - MexicanPercent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - MexicanPercent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - MexicanEstimate; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Puerto RicanMargin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Puerto RicanPercent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Puerto RicanPercent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Puerto RicanEstimate; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - CubanMargin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - CubanPercent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - CubanPercent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - CubanEstimate; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Other Hispanic or LatinoMargin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Other Hispanic or LatinoPercent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Other Hispanic or LatinoPercent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Other Hispanic or LatinoEstimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or LatinoMargin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or LatinoPercent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or LatinoPercent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or LatinoEstimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - White aloneMargin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - White alonePercent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - White alonePercent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - White aloneEstimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Black or African American aloneMargin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Black or African American alonePercent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Black or African American alonePercent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Black or African American aloneEstimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - American Indian and Alaska Native aloneMargin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - American Indian and Alaska Native alonePercent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - American Indian and Alaska Native alonePercent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - American Indian and Alaska Native aloneEstimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Asian aloneMargin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Asian alonePercent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Asian alonePercent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Asian aloneEstimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Native Hawaiian and Other Pacific Islander aloneMargin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Native Hawaiian and Other Pacific Islander alonePercent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Native Hawaiian and Other Pacific Islander alonePercent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Native Hawaiian and Other Pacific Islander aloneEstimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Some other race aloneMargin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Some other race alonePercent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Some other race alonePercent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Some other race aloneEstimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more racesMargin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more racesPercent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more racesPercent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more racesEstimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races including Some other raceMargin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races including Some other racePercent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races including Some other racePercent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races including Some other raceEstimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races excluding Some other race, and Three or more racesMargin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races excluding Some other race, and Three or more racesPercent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races excluding Some other race, and Three or more racesPercent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races excluding Some other race, and Three or more racesEstimate; HISPANIC OR LATINO AND RACE - Total housing unitsMargin of Error; HISPANIC OR LATINO AND RACE - Total housing unitsPercent; HISPANIC OR LATINO AND RACE - Total housing unitsPercent Margin of Error; HISPANIC OR LATINO AND RACE - Total housing unitsEstimate; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over populationMargin of Error; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over populationPercent; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over populationPercent Margin of Error; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over populationEstimate; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population - MaleMargin of Error; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population - MalePercent; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population - MalePercent Margin of Error; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population - MaleEstimate; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population - FemaleMargin of Error; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population - FemalePercent; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population - FemalePercent Margin of Error; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population - Female
01400000US1703101010017031010100Census Tract 101, Cook County, Illinois41064684106(X)189126746.14.7221533853.94.7268896.52.1159933.92.12071375.03.22291465.63.22491276.13.073626417.95.988121521.55.254317013.24.143616710.64.12271055.52.4164844.02.17160.20.40110.00.736.62.2(X)(X)331633880.85.2321731778.35.32971157.22.9171834.22.133163383316(X)153623646.35.5178026253.75.517183171(X)444625.721.31276974.321.341064684106(X)399347897.22.0113832.82.0399347897.22.0218641453.28.2158636538.68.10110.00.70110.00.70110.00.70110.00.70110.00.71552273.85.40110.00.70110.00.71382253.45.30110.00.7380.10.20110.00.714210.30.50110.00.70110.00.70110.00.70110.00.70110.00.766471.61.2113832.82.046571.11.40110.00.729470.71.114220.30.541064684106(X)227142255.38.5167035540.77.924270.60.71842324.55.50110.00.780571.91.441064684106(X)47531711.67.12712876.66.71141372.83.20110.00.790852.22.1363142188.47.1183032144.67.4151932337.07.60110.00.71552273.85.40110.00.714230.30.6113832.82.014230.30.699792.42.0262541(X)(X)29893402989(X)131523344.05.8167425456.05.8
11400000US1703101020117031010201Census Tract 102.01, Cook County, Illinois72299427229(X)355456449.23.6367550950.83.66812269.42.64411906.12.42771433.81.83961435.51.86102468.43.1168841823.44.8110330015.33.8101825214.13.52811423.91.83511654.92.41901232.61.71561102.21.637430.50.631.82.6(X)(X)557070777.13.8517462471.64.45271947.32.83831635.32.455707075570(X)269544348.44.0287538851.64.0383163383(X)1368135.513.524711064.513.572299427229(X)697292496.42.32571693.62.3697292496.42.3338869246.97.6329572145.67.826420.40.60150.00.40150.00.40150.00.40150.00.42231783.12.41121551.52.111190.20.388851.21.212190.20.30150.00.40150.00.40150.00.40150.00.40150.00.40150.00.40150.00.40150.00.440380.60.52571693.62.351620.70.8861401.21.962700.91.011180.20.372299427229(X)360170249.87.4339072446.97.81231461.72.02851933.92.611180.20.376771.11.172299427229(X)199065727.57.2174463324.17.253640.70.91041201.41.789721.21.0523970872.57.2153825521.34.5329572145.67.826420.40.62231783.12.40150.00.411170.20.21461352.01.80150.00.41461352.01.8300766(X)(X)38474553847(X)182435247.45.6202326152.65.6
21400000US1703101020217031010202Census Tract 102.02, Cook County, Illinois23042712304(X)121519952.75.2108916347.35.2197868.63.5113724.93.067482.92.076503.32.1171997.43.937811116.44.636110115.74.62609911.34.5100594.32.5222949.63.7174747.62.9120765.23.265392.81.737.84.0(X)(X)191924183.34.9183622779.74.848319021.07.235912915.65.119192411919(X)100619352.46.191313847.66.1359129359(X)15110442.118.62087157.918.623042712304(X)223427697.02.670603.02.6223427697.02.6117823451.18.867416629.37.912170.50.70110.01.20110.01.20110.01.20110.01.21851848.07.51051694.67.116220.70.918220.80.90110.01.20110.01.20110.01.246702.03.00110.01.20110.01.20110.01.20110.01.20110.01.21851328.05.570603.02.6290.10.427421.21.8590.20.40110.01.223042712304(X)122924153.39.067616729.38.058532.52.31901868.27.50110.01.22211389.65.723042712304(X)60921026.47.842816618.66.651572.22.515250.71.11151035.04.3169523573.67.881721435.59.264816228.17.70110.01.21771827.77.40110.01.20110.01.253532.32.319300.81.334421.51.8122735(X)(X)14992011499(X)82716655.26.667211644.86.6
31400000US1703101030017031010300Census Tract 103, Cook County, Illinois60776946077(X)309545750.93.9298237749.13.93721566.12.3208983.41.5122902.01.42351443.92.33892166.43.2115629419.04.588224314.53.8110731718.25.12671054.41.82891284.82.05381648.92.62881254.72.1224873.71.440.14.8(X)(X)525958586.53.7514055584.63.6124127520.44.3105024817.34.052595855259(X)264238850.24.3261734749.84.310502481050(X)39710437.88.265319962.28.260776946077(X)591069797.31.7167992.71.7591069797.31.7347851857.28.0154634925.45.26120.10.20150.00.50150.00.50150.00.50150.00.575155912.48.514300.20.543400.70.760511.00.80150.00.5490.10.17150.10.262354710.38.50150.00.50150.00.50150.00.50150.00.50150.00.51291162.11.9167992.71.748450.80.80150.00.50150.00.513200.20.360776946077(X)360651159.37.9166036327.35.561591.01.077355712.78.55110.10.21981443.32.460776946077(X)97940616.16.664937310.76.047430.80.758911.01.52251723.72.8509872283.96.6276740545.56.6147634324.35.26120.10.275155912.48.50150.00.50150.00.598671.61.10150.00.598671.61.1326495(X)(X)41504964150(X)206935149.95.1208129650.15.1
41400000US1703101040017031010400Census Tract 104, Cook County, Illinois50115445011(X)206727941.24.7294444658.84.71961153.92.01621003.21.9111952.21.8116424223.24.581027116.25.072021614.44.463922512.83.84221118.42.21981164.02.32091054.22.23111656.23.421250.40.548441.00.925.42.2(X)(X)444142788.64.1308633961.64.853118510.63.93801667.63.444414274441(X)180725540.75.0263436959.35.0380166380(X)15410540.517.322610359.517.350115445011(X)483454796.51.9177963.51.9483454796.51.9374350774.77.466038213.27.20150.00.50150.00.50150.00.50150.00.50150.00.53361706.73.4109552.21.130310.60.663471.30.90150.00.563901.31.8711151.42.30150.00.50150.00.50150.00.50150.00.50150.00.50150.00.5951061.92.1177963.51.946410.90.80150.00.544500.91.00150.00.550115445011(X)386551377.17.471938514.37.227310.50.64211908.43.814220.30.51551203.12.450115445011(X)4171798.33.32891455.82.827280.50.637600.71.264801.31.6459449491.73.3346747969.27.561336112.26.80150.00.53281706.53.40150.00.536570.71.1150893.01.847530.91.1103682.11.3219972(X)(X)41444034144(X)164220439.64.9250237560.44.9
\n", "
" ], "text/plain": [ " Id Id2 \\\n", "0 1400000US17031010100 17031010100 \n", "1 1400000US17031010201 17031010201 \n", "2 1400000US17031010202 17031010202 \n", "3 1400000US17031010300 17031010300 \n", "4 1400000US17031010400 17031010400 \n", "\n", " Geography \\\n", "0 Census Tract 101, Cook County, Illinois \n", "1 Census Tract 102.01, Cook County, Illinois \n", "2 Census Tract 102.02, Cook County, Illinois \n", "3 Census Tract 103, Cook County, Illinois \n", "4 Census Tract 104, Cook County, Illinois \n", "\n", " Estimate; SEX AND AGE - Total population \\\n", "0 4106 \n", "1 7229 \n", "2 2304 \n", "3 6077 \n", "4 5011 \n", "\n", " Margin of Error; SEX AND AGE - Total population \\\n", "0 468 \n", "1 942 \n", "2 271 \n", "3 694 \n", "4 544 \n", "\n", " Percent; SEX AND AGE - Total population \\\n", "0 4106 \n", "1 7229 \n", "2 2304 \n", "3 6077 \n", "4 5011 \n", "\n", " Percent Margin of Error; SEX AND AGE - Total population \\\n", "0 (X) \n", "1 (X) \n", "2 (X) \n", "3 (X) \n", "4 (X) \n", "\n", " Estimate; SEX AND AGE - Total population - Male \\\n", "0 1891 \n", "1 3554 \n", "2 1215 \n", "3 3095 \n", "4 2067 \n", "\n", " Margin of Error; SEX AND AGE - Total population - Male \\\n", "0 267 \n", "1 564 \n", "2 199 \n", "3 457 \n", "4 279 \n", "\n", " Percent; SEX AND AGE - Total population - Male \\\n", "0 46.1 \n", "1 49.2 \n", "2 52.7 \n", "3 50.9 \n", "4 41.2 \n", "\n", " Percent Margin of Error; SEX AND AGE - Total population - Male \\\n", "0 4.7 \n", "1 3.6 \n", "2 5.2 \n", "3 3.9 \n", "4 4.7 \n", "\n", " Estimate; SEX AND AGE - Total population - Female \\\n", "0 2215 \n", "1 3675 \n", "2 1089 \n", "3 2982 \n", "4 2944 \n", "\n", " Margin of Error; SEX AND AGE - Total population - Female \\\n", "0 338 \n", "1 509 \n", "2 163 \n", "3 377 \n", "4 446 \n", "\n", " Percent; SEX AND AGE - Total population - Female \\\n", "0 53.9 \n", "1 50.8 \n", "2 47.3 \n", "3 49.1 \n", "4 58.8 \n", "\n", " Percent Margin of Error; SEX AND AGE - Total population - Female \\\n", "0 4.7 \n", "1 3.6 \n", "2 5.2 \n", "3 3.9 \n", "4 4.7 \n", "\n", " Estimate; SEX AND AGE - Under 5 years \\\n", "0 268 \n", "1 681 \n", "2 197 \n", "3 372 \n", "4 196 \n", "\n", " Margin of Error; SEX AND AGE - Under 5 years \\\n", "0 89 \n", "1 226 \n", "2 86 \n", "3 156 \n", "4 115 \n", "\n", " Percent; SEX AND AGE - Under 5 years \\\n", "0 6.5 \n", "1 9.4 \n", "2 8.6 \n", "3 6.1 \n", "4 3.9 \n", "\n", " Percent Margin of Error; SEX AND AGE - Under 5 years \\\n", "0 2.1 \n", "1 2.6 \n", "2 3.5 \n", "3 2.3 \n", "4 2.0 \n", "\n", " Estimate; SEX AND AGE - 5 to 9 years \\\n", "0 159 \n", "1 441 \n", "2 113 \n", "3 208 \n", "4 162 \n", "\n", " Margin of Error; SEX AND AGE - 5 to 9 years \\\n", "0 93 \n", "1 190 \n", "2 72 \n", "3 98 \n", "4 100 \n", "\n", " Percent; SEX AND AGE - 5 to 9 years \\\n", "0 3.9 \n", "1 6.1 \n", "2 4.9 \n", "3 3.4 \n", "4 3.2 \n", "\n", " Percent Margin of Error; SEX AND AGE - 5 to 9 years \\\n", "0 2.1 \n", "1 2.4 \n", "2 3.0 \n", "3 1.5 \n", "4 1.9 \n", "\n", " Estimate; SEX AND AGE - 10 to 14 years \\\n", "0 207 \n", "1 277 \n", "2 67 \n", "3 122 \n", "4 111 \n", "\n", " Margin of Error; SEX AND AGE - 10 to 14 years \\\n", "0 137 \n", "1 143 \n", "2 48 \n", "3 90 \n", "4 95 \n", "\n", " Percent; SEX AND AGE - 10 to 14 years \\\n", "0 5.0 \n", "1 3.8 \n", "2 2.9 \n", "3 2.0 \n", "4 2.2 \n", "\n", " Percent Margin of Error; SEX AND AGE - 10 to 14 years \\\n", "0 3.2 \n", "1 1.8 \n", "2 2.0 \n", "3 1.4 \n", "4 1.8 \n", "\n", " Estimate; SEX AND AGE - 15 to 19 years \\\n", "0 229 \n", "1 396 \n", "2 76 \n", "3 235 \n", "4 1164 \n", "\n", " Margin of Error; SEX AND AGE - 15 to 19 years \\\n", "0 146 \n", "1 143 \n", "2 50 \n", "3 144 \n", "4 242 \n", "\n", " Percent; SEX AND AGE - 15 to 19 years \\\n", "0 5.6 \n", "1 5.5 \n", "2 3.3 \n", "3 3.9 \n", "4 23.2 \n", "\n", " Percent Margin of Error; SEX AND AGE - 15 to 19 years \\\n", "0 3.2 \n", "1 1.8 \n", "2 2.1 \n", "3 2.3 \n", "4 4.5 \n", "\n", " Estimate; SEX AND AGE - 20 to 24 years \\\n", "0 249 \n", "1 610 \n", "2 171 \n", "3 389 \n", "4 810 \n", "\n", " Margin of Error; SEX AND AGE - 20 to 24 years \\\n", "0 127 \n", "1 246 \n", "2 99 \n", "3 216 \n", "4 271 \n", "\n", " Percent; SEX AND AGE - 20 to 24 years \\\n", "0 6.1 \n", "1 8.4 \n", "2 7.4 \n", "3 6.4 \n", "4 16.2 \n", "\n", " Percent Margin of Error; SEX AND AGE - 20 to 24 years \\\n", "0 3.0 \n", "1 3.1 \n", "2 3.9 \n", "3 3.2 \n", "4 5.0 \n", "\n", " Estimate; SEX AND AGE - 25 to 34 years \\\n", "0 736 \n", "1 1688 \n", "2 378 \n", "3 1156 \n", "4 720 \n", "\n", " Margin of Error; SEX AND AGE - 25 to 34 years \\\n", "0 264 \n", "1 418 \n", "2 111 \n", "3 294 \n", "4 216 \n", "\n", " Percent; SEX AND AGE - 25 to 34 years \\\n", "0 17.9 \n", "1 23.4 \n", "2 16.4 \n", "3 19.0 \n", "4 14.4 \n", "\n", " Percent Margin of Error; SEX AND AGE - 25 to 34 years \\\n", "0 5.9 \n", "1 4.8 \n", "2 4.6 \n", "3 4.5 \n", "4 4.4 \n", "\n", " Estimate; SEX AND AGE - 35 to 44 years \\\n", "0 881 \n", "1 1103 \n", "2 361 \n", "3 882 \n", "4 639 \n", "\n", " Margin of Error; SEX AND AGE - 35 to 44 years \\\n", "0 215 \n", "1 300 \n", "2 101 \n", "3 243 \n", "4 225 \n", "\n", " Percent; SEX AND AGE - 35 to 44 years \\\n", "0 21.5 \n", "1 15.3 \n", "2 15.7 \n", "3 14.5 \n", "4 12.8 \n", "\n", " Percent Margin of Error; SEX AND AGE - 35 to 44 years \\\n", "0 5.2 \n", "1 3.8 \n", "2 4.6 \n", "3 3.8 \n", "4 3.8 \n", "\n", " Estimate; SEX AND AGE - 45 to 54 years \\\n", "0 543 \n", "1 1018 \n", "2 260 \n", "3 1107 \n", "4 422 \n", "\n", " Margin of Error; SEX AND AGE - 45 to 54 years \\\n", "0 170 \n", "1 252 \n", "2 99 \n", "3 317 \n", "4 111 \n", "\n", " Percent; SEX AND AGE - 45 to 54 years \\\n", "0 13.2 \n", "1 14.1 \n", "2 11.3 \n", "3 18.2 \n", "4 8.4 \n", "\n", " Percent Margin of Error; SEX AND AGE - 45 to 54 years \\\n", "0 4.1 \n", "1 3.5 \n", "2 4.5 \n", "3 5.1 \n", "4 2.2 \n", "\n", " Estimate; SEX AND AGE - 55 to 59 years \\\n", "0 436 \n", "1 281 \n", "2 100 \n", "3 267 \n", "4 198 \n", "\n", " Margin of Error; SEX AND AGE - 55 to 59 years \\\n", "0 167 \n", "1 142 \n", "2 59 \n", "3 105 \n", "4 116 \n", "\n", " Percent; SEX AND AGE - 55 to 59 years \\\n", "0 10.6 \n", "1 3.9 \n", "2 4.3 \n", "3 4.4 \n", "4 4.0 \n", "\n", " Percent Margin of Error; SEX AND AGE - 55 to 59 years \\\n", "0 4.1 \n", "1 1.8 \n", "2 2.5 \n", "3 1.8 \n", "4 2.3 \n", "\n", " Estimate; SEX AND AGE - 60 to 64 years \\\n", "0 227 \n", "1 351 \n", "2 222 \n", "3 289 \n", "4 209 \n", "\n", " Margin of Error; SEX AND AGE - 60 to 64 years \\\n", "0 105 \n", "1 165 \n", "2 94 \n", "3 128 \n", "4 105 \n", "\n", " Percent; SEX AND AGE - 60 to 64 years \\\n", "0 5.5 \n", "1 4.9 \n", "2 9.6 \n", "3 4.8 \n", "4 4.2 \n", "\n", " Percent Margin of Error; SEX AND AGE - 60 to 64 years \\\n", "0 2.4 \n", "1 2.4 \n", "2 3.7 \n", "3 2.0 \n", "4 2.2 \n", "\n", " Estimate; SEX AND AGE - 65 to 74 years \\\n", "0 164 \n", "1 190 \n", "2 174 \n", "3 538 \n", "4 311 \n", "\n", " Margin of Error; SEX AND AGE - 65 to 74 years \\\n", "0 84 \n", "1 123 \n", "2 74 \n", "3 164 \n", "4 165 \n", "\n", " Percent; SEX AND AGE - 65 to 74 years \\\n", "0 4.0 \n", "1 2.6 \n", "2 7.6 \n", "3 8.9 \n", "4 6.2 \n", "\n", " Percent Margin of Error; SEX AND AGE - 65 to 74 years \\\n", "0 2.1 \n", "1 1.7 \n", "2 2.9 \n", "3 2.6 \n", "4 3.4 \n", "\n", " Estimate; SEX AND AGE - 75 to 84 years \\\n", "0 7 \n", "1 156 \n", "2 120 \n", "3 288 \n", "4 21 \n", "\n", " Margin of Error; SEX AND AGE - 75 to 84 years \\\n", "0 16 \n", "1 110 \n", "2 76 \n", "3 125 \n", "4 25 \n", "\n", " Percent; SEX AND AGE - 75 to 84 years \\\n", "0 0.2 \n", "1 2.2 \n", "2 5.2 \n", "3 4.7 \n", "4 0.4 \n", "\n", " Percent Margin of Error; SEX AND AGE - 75 to 84 years \\\n", "0 0.4 \n", "1 1.6 \n", "2 3.2 \n", "3 2.1 \n", "4 0.5 \n", "\n", " Estimate; SEX AND AGE - 85 years and over \\\n", "0 0 \n", "1 37 \n", "2 65 \n", "3 224 \n", "4 48 \n", "\n", " Margin of Error; SEX AND AGE - 85 years and over \\\n", "0 11 \n", "1 43 \n", "2 39 \n", "3 87 \n", "4 44 \n", "\n", " Percent; SEX AND AGE - 85 years and over \\\n", "0 0.0 \n", "1 0.5 \n", "2 2.8 \n", "3 3.7 \n", "4 1.0 \n", "\n", " Percent Margin of Error; SEX AND AGE - 85 years and over \\\n", "0 0.7 \n", "1 0.6 \n", "2 1.7 \n", "3 1.4 \n", "4 0.9 \n", "\n", " Estimate; SEX AND AGE - Median age (years) \\\n", "0 36.6 \n", "1 31.8 \n", "2 37.8 \n", "3 40.1 \n", "4 25.4 \n", "\n", " Margin of Error; SEX AND AGE - Median age (years) \\\n", "0 2.2 \n", "1 2.6 \n", "2 4.0 \n", "3 4.8 \n", "4 2.2 \n", "\n", " Percent; SEX AND AGE - Median age (years) \\\n", "0 (X) \n", "1 (X) \n", "2 (X) \n", "3 (X) \n", "4 (X) \n", "\n", " Percent Margin of Error; SEX AND AGE - Median age (years) \\\n", "0 (X) \n", "1 (X) \n", "2 (X) \n", "3 (X) \n", "4 (X) \n", "\n", " Estimate; SEX AND AGE - 18 years and over \\\n", "0 3316 \n", "1 5570 \n", "2 1919 \n", "3 5259 \n", "4 4441 \n", "\n", " Margin of Error; SEX AND AGE - 18 years and over \\\n", "0 338 \n", "1 707 \n", "2 241 \n", "3 585 \n", "4 427 \n", "\n", " Percent; SEX AND AGE - 18 years and over \\\n", "0 80.8 \n", "1 77.1 \n", "2 83.3 \n", "3 86.5 \n", "4 88.6 \n", "\n", " Percent Margin of Error; SEX AND AGE - 18 years and over \\\n", "0 5.2 \n", "1 3.8 \n", "2 4.9 \n", "3 3.7 \n", "4 4.1 \n", "\n", " Estimate; SEX AND AGE - 21 years and over \\\n", "0 3217 \n", "1 5174 \n", "2 1836 \n", "3 5140 \n", "4 3086 \n", "\n", " Margin of Error; SEX AND AGE - 21 years and over \\\n", "0 317 \n", "1 624 \n", "2 227 \n", "3 555 \n", "4 339 \n", "\n", " Percent; SEX AND AGE - 21 years and over \\\n", "0 78.3 \n", "1 71.6 \n", "2 79.7 \n", "3 84.6 \n", "4 61.6 \n", "\n", " Percent Margin of Error; SEX AND AGE - 21 years and over \\\n", "0 5.3 \n", "1 4.4 \n", "2 4.8 \n", "3 3.6 \n", "4 4.8 \n", "\n", " Estimate; SEX AND AGE - 62 years and over \\\n", "0 297 \n", "1 527 \n", "2 483 \n", "3 1241 \n", "4 531 \n", "\n", " Margin of Error; SEX AND AGE - 62 years and over \\\n", "0 115 \n", "1 194 \n", "2 190 \n", "3 275 \n", "4 185 \n", "\n", " Percent; SEX AND AGE - 62 years and over \\\n", "0 7.2 \n", "1 7.3 \n", "2 21.0 \n", "3 20.4 \n", "4 10.6 \n", "\n", " Percent Margin of Error; SEX AND AGE - 62 years and over \\\n", "0 2.9 \n", "1 2.8 \n", "2 7.2 \n", "3 4.3 \n", "4 3.9 \n", "\n", " Estimate; SEX AND AGE - 65 years and over \\\n", "0 171 \n", "1 383 \n", "2 359 \n", "3 1050 \n", "4 380 \n", "\n", " Margin of Error; SEX AND AGE - 65 years and over \\\n", "0 83 \n", "1 163 \n", "2 129 \n", "3 248 \n", "4 166 \n", "\n", " Percent; SEX AND AGE - 65 years and over \\\n", "0 4.2 \n", "1 5.3 \n", "2 15.6 \n", "3 17.3 \n", "4 7.6 \n", "\n", " Percent Margin of Error; SEX AND AGE - 65 years and over \\\n", "0 2.1 \n", "1 2.4 \n", "2 5.1 \n", "3 4.0 \n", "4 3.4 \n", "\n", " Estimate; SEX AND AGE - 18 years and over.1 \\\n", "0 3316 \n", "1 5570 \n", "2 1919 \n", "3 5259 \n", "4 4441 \n", "\n", " Margin of Error; SEX AND AGE - 18 years and over.1 \\\n", "0 338 \n", "1 707 \n", "2 241 \n", "3 585 \n", "4 427 \n", "\n", " Percent; SEX AND AGE - 18 years and over.1 \\\n", "0 3316 \n", "1 5570 \n", "2 1919 \n", "3 5259 \n", "4 4441 \n", "\n", " Percent Margin of Error; SEX AND AGE - 18 years and over.1 \\\n", "0 (X) \n", "1 (X) \n", "2 (X) \n", "3 (X) \n", "4 (X) \n", "\n", " Estimate; SEX AND AGE - 18 years and over - Male \\\n", "0 1536 \n", "1 2695 \n", "2 1006 \n", "3 2642 \n", "4 1807 \n", "\n", " Margin of Error; SEX AND AGE - 18 years and over - Male \\\n", "0 236 \n", "1 443 \n", "2 193 \n", "3 388 \n", "4 255 \n", "\n", " Percent; SEX AND AGE - 18 years and over - Male \\\n", "0 46.3 \n", "1 48.4 \n", "2 52.4 \n", "3 50.2 \n", "4 40.7 \n", "\n", " Percent Margin of Error; SEX AND AGE - 18 years and over - Male \\\n", "0 5.5 \n", "1 4.0 \n", "2 6.1 \n", "3 4.3 \n", "4 5.0 \n", "\n", " Estimate; SEX AND AGE - 18 years and over - Female \\\n", "0 1780 \n", "1 2875 \n", "2 913 \n", "3 2617 \n", "4 2634 \n", "\n", " Margin of Error; SEX AND AGE - 18 years and over - Female \\\n", "0 262 \n", "1 388 \n", "2 138 \n", "3 347 \n", "4 369 \n", "\n", " Percent; SEX AND AGE - 18 years and over - Female \\\n", "0 53.7 \n", "1 51.6 \n", "2 47.6 \n", "3 49.8 \n", "4 59.3 \n", "\n", " Percent Margin of Error; SEX AND AGE - 18 years and over - Female \\\n", "0 5.5 \n", "1 4.0 \n", "2 6.1 \n", "3 4.3 \n", "4 5.0 \n", "\n", " Estimate; SEX AND AGE - 65 years and over.1 \\\n", "0 171 \n", "1 383 \n", "2 359 \n", "3 1050 \n", "4 380 \n", "\n", " Margin of Error; SEX AND AGE - 65 years and over.1 \\\n", "0 83 \n", "1 163 \n", "2 129 \n", "3 248 \n", "4 166 \n", "\n", " Percent; SEX AND AGE - 65 years and over.1 \\\n", "0 171 \n", "1 383 \n", "2 359 \n", "3 1050 \n", "4 380 \n", "\n", " Percent Margin of Error; SEX AND AGE - 65 years and over.1 \\\n", "0 (X) \n", "1 (X) \n", "2 (X) \n", "3 (X) \n", "4 (X) \n", "\n", " Estimate; SEX AND AGE - 65 years and over - Male \\\n", "0 44 \n", "1 136 \n", "2 151 \n", "3 397 \n", "4 154 \n", "\n", " Margin of Error; SEX AND AGE - 65 years and over - Male \\\n", "0 46 \n", "1 81 \n", "2 104 \n", "3 104 \n", "4 105 \n", "\n", " Percent; SEX AND AGE - 65 years and over - Male \\\n", "0 25.7 \n", "1 35.5 \n", "2 42.1 \n", "3 37.8 \n", "4 40.5 \n", "\n", " Percent Margin of Error; SEX AND AGE - 65 years and over - Male \\\n", "0 21.3 \n", "1 13.5 \n", "2 18.6 \n", "3 8.2 \n", "4 17.3 \n", "\n", " Estimate; SEX AND AGE - 65 years and over - Female \\\n", "0 127 \n", "1 247 \n", "2 208 \n", "3 653 \n", "4 226 \n", "\n", " Margin of Error; SEX AND AGE - 65 years and over - Female \\\n", "0 69 \n", "1 110 \n", "2 71 \n", "3 199 \n", "4 103 \n", "\n", " Percent; SEX AND AGE - 65 years and over - Female \\\n", "0 74.3 \n", "1 64.5 \n", "2 57.9 \n", "3 62.2 \n", "4 59.5 \n", "\n", " Percent Margin of Error; SEX AND AGE - 65 years and over - Female \\\n", "0 21.3 \n", "1 13.5 \n", "2 18.6 \n", "3 8.2 \n", "4 17.3 \n", "\n", " Estimate; RACE - Total population \\\n", "0 4106 \n", "1 7229 \n", "2 2304 \n", "3 6077 \n", "4 5011 \n", "\n", " Margin of Error; RACE - Total population Percent; RACE - Total population \\\n", "0 468 4106 \n", "1 942 7229 \n", "2 271 2304 \n", "3 694 6077 \n", "4 544 5011 \n", "\n", " Percent Margin of Error; RACE - Total population \\\n", "0 (X) \n", "1 (X) \n", "2 (X) \n", "3 (X) \n", "4 (X) \n", "\n", " Estimate; RACE - Total population - One race \\\n", "0 3993 \n", "1 6972 \n", "2 2234 \n", "3 5910 \n", "4 4834 \n", "\n", " Margin of Error; RACE - Total population - One race \\\n", "0 478 \n", "1 924 \n", "2 276 \n", "3 697 \n", "4 547 \n", "\n", " Percent; RACE - Total population - One race \\\n", "0 97.2 \n", "1 96.4 \n", "2 97.0 \n", "3 97.3 \n", "4 96.5 \n", "\n", " Percent Margin of Error; RACE - Total population - One race \\\n", "0 2.0 \n", "1 2.3 \n", "2 2.6 \n", "3 1.7 \n", "4 1.9 \n", "\n", " Estimate; RACE - Total population - Two or more races \\\n", "0 113 \n", "1 257 \n", "2 70 \n", "3 167 \n", "4 177 \n", "\n", " Margin of Error; RACE - Total population - Two or more races \\\n", "0 83 \n", "1 169 \n", "2 60 \n", "3 99 \n", "4 96 \n", "\n", " Percent; RACE - Total population - Two or more races \\\n", "0 2.8 \n", "1 3.6 \n", "2 3.0 \n", "3 2.7 \n", "4 3.5 \n", "\n", " Percent Margin of Error; RACE - Total population - Two or more races \\\n", "0 2.0 \n", "1 2.3 \n", "2 2.6 \n", "3 1.7 \n", "4 1.9 \n", "\n", " Estimate; RACE - One race Margin of Error; RACE - One race \\\n", "0 3993 478 \n", "1 6972 924 \n", "2 2234 276 \n", "3 5910 697 \n", "4 4834 547 \n", "\n", " Percent; RACE - One race Percent Margin of Error; RACE - One race \\\n", "0 97.2 2.0 \n", "1 96.4 2.3 \n", "2 97.0 2.6 \n", "3 97.3 1.7 \n", "4 96.5 1.9 \n", "\n", " Estimate; RACE - One race - White \\\n", "0 2186 \n", "1 3388 \n", "2 1178 \n", "3 3478 \n", "4 3743 \n", "\n", " Margin of Error; RACE - One race - White Percent; RACE - One race - White \\\n", "0 414 53.2 \n", "1 692 46.9 \n", "2 234 51.1 \n", "3 518 57.2 \n", "4 507 74.7 \n", "\n", " Percent Margin of Error; RACE - One race - White \\\n", "0 8.2 \n", "1 7.6 \n", "2 8.8 \n", "3 8.0 \n", "4 7.4 \n", "\n", " Estimate; RACE - One race - Black or African American \\\n", "0 1586 \n", "1 3295 \n", "2 674 \n", "3 1546 \n", "4 660 \n", "\n", " Margin of Error; RACE - One race - Black or African American \\\n", "0 365 \n", "1 721 \n", "2 166 \n", "3 349 \n", "4 382 \n", "\n", " Percent; RACE - One race - Black or African American \\\n", "0 38.6 \n", "1 45.6 \n", "2 29.3 \n", "3 25.4 \n", "4 13.2 \n", "\n", " Percent Margin of Error; RACE - One race - Black or African American \\\n", "0 8.1 \n", "1 7.8 \n", "2 7.9 \n", "3 5.2 \n", "4 7.2 \n", "\n", " Estimate; RACE - One race - American Indian and Alaska Native \\\n", "0 0 \n", "1 26 \n", "2 12 \n", "3 6 \n", "4 0 \n", "\n", " Margin of Error; RACE - One race - American Indian and Alaska Native \\\n", "0 11 \n", "1 42 \n", "2 17 \n", "3 12 \n", "4 15 \n", "\n", " Percent; RACE - One race - American Indian and Alaska Native \\\n", "0 0.0 \n", "1 0.4 \n", "2 0.5 \n", "3 0.1 \n", "4 0.0 \n", "\n", " Percent Margin of Error; RACE - One race - American Indian and Alaska Native \\\n", "0 0.7 \n", "1 0.6 \n", "2 0.7 \n", "3 0.2 \n", "4 0.5 \n", "\n", " Estimate; RACE - One race - American Indian and Alaska Native - Cherokee tribal grouping \\\n", "0 0 \n", "1 0 \n", "2 0 \n", "3 0 \n", "4 0 \n", "\n", " Margin of Error; RACE - One race - American Indian and Alaska Native - Cherokee tribal grouping \\\n", "0 11 \n", "1 15 \n", "2 11 \n", "3 15 \n", "4 15 \n", "\n", " Percent; RACE - One race - American Indian and Alaska Native - Cherokee tribal grouping \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "\n", " Percent Margin of Error; RACE - One race - American Indian and Alaska Native - Cherokee tribal grouping \\\n", "0 0.7 \n", "1 0.4 \n", "2 1.2 \n", "3 0.5 \n", "4 0.5 \n", "\n", " Estimate; RACE - One race - American Indian and Alaska Native - Chippewa tribal grouping \\\n", "0 0 \n", "1 0 \n", "2 0 \n", "3 0 \n", "4 0 \n", "\n", " Margin of Error; RACE - One race - American Indian and Alaska Native - Chippewa tribal grouping \\\n", "0 11 \n", "1 15 \n", "2 11 \n", "3 15 \n", "4 15 \n", "\n", " Percent; RACE - One race - American Indian and Alaska Native - Chippewa tribal grouping \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "\n", " Percent Margin of Error; RACE - One race - American Indian and Alaska Native - Chippewa tribal grouping \\\n", "0 0.7 \n", "1 0.4 \n", "2 1.2 \n", "3 0.5 \n", "4 0.5 \n", "\n", " Estimate; RACE - One race - American Indian and Alaska Native - Navajo tribal grouping \\\n", "0 0 \n", "1 0 \n", "2 0 \n", "3 0 \n", "4 0 \n", "\n", " Margin of Error; RACE - One race - American Indian and Alaska Native - Navajo tribal grouping \\\n", "0 11 \n", "1 15 \n", "2 11 \n", "3 15 \n", "4 15 \n", "\n", " Percent; RACE - One race - American Indian and Alaska Native - Navajo tribal grouping \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "\n", " Percent Margin of Error; RACE - One race - American Indian and Alaska Native - Navajo tribal grouping \\\n", "0 0.7 \n", "1 0.4 \n", "2 1.2 \n", "3 0.5 \n", "4 0.5 \n", "\n", " Estimate; RACE - One race - American Indian and Alaska Native - Sioux tribal grouping \\\n", "0 0 \n", "1 0 \n", "2 0 \n", "3 0 \n", "4 0 \n", "\n", " Margin of Error; RACE - One race - American Indian and Alaska Native - Sioux tribal grouping \\\n", "0 11 \n", "1 15 \n", "2 11 \n", "3 15 \n", "4 15 \n", "\n", " Percent; RACE - One race - American Indian and Alaska Native - Sioux tribal grouping \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "\n", " Percent Margin of Error; RACE - One race - American Indian and Alaska Native - Sioux tribal grouping \\\n", "0 0.7 \n", "1 0.4 \n", "2 1.2 \n", "3 0.5 \n", "4 0.5 \n", "\n", " Estimate; RACE - One race - Asian \\\n", "0 155 \n", "1 223 \n", "2 185 \n", "3 751 \n", "4 336 \n", "\n", " Margin of Error; RACE - One race - Asian Percent; RACE - One race - Asian \\\n", "0 227 3.8 \n", "1 178 3.1 \n", "2 184 8.0 \n", "3 559 12.4 \n", "4 170 6.7 \n", "\n", " Percent Margin of Error; RACE - One race - Asian \\\n", "0 5.4 \n", "1 2.4 \n", "2 7.5 \n", "3 8.5 \n", "4 3.4 \n", "\n", " Estimate; RACE - One race - Asian - Asian Indian \\\n", "0 0 \n", "1 112 \n", "2 105 \n", "3 14 \n", "4 109 \n", "\n", " Margin of Error; RACE - One race - Asian - Asian Indian \\\n", "0 11 \n", "1 155 \n", "2 169 \n", "3 30 \n", "4 55 \n", "\n", " Percent; RACE - One race - Asian - Asian Indian \\\n", "0 0.0 \n", "1 1.5 \n", "2 4.6 \n", "3 0.2 \n", "4 2.2 \n", "\n", " Percent Margin of Error; RACE - One race - Asian - Asian Indian \\\n", "0 0.7 \n", "1 2.1 \n", "2 7.1 \n", "3 0.5 \n", "4 1.1 \n", "\n", " Estimate; RACE - One race - Asian - Chinese \\\n", "0 0 \n", "1 11 \n", "2 16 \n", "3 43 \n", "4 30 \n", "\n", " Margin of Error; RACE - One race - Asian - Chinese \\\n", "0 11 \n", "1 19 \n", "2 22 \n", "3 40 \n", "4 31 \n", "\n", " Percent; RACE - One race - Asian - Chinese \\\n", "0 0.0 \n", "1 0.2 \n", "2 0.7 \n", "3 0.7 \n", "4 0.6 \n", "\n", " Percent Margin of Error; RACE - One race - Asian - Chinese \\\n", "0 0.7 \n", "1 0.3 \n", "2 0.9 \n", "3 0.7 \n", "4 0.6 \n", "\n", " Estimate; RACE - One race - Asian - Filipino \\\n", "0 138 \n", "1 88 \n", "2 18 \n", "3 60 \n", "4 63 \n", "\n", " Margin of Error; RACE - One race - Asian - Filipino \\\n", "0 225 \n", "1 85 \n", "2 22 \n", "3 51 \n", "4 47 \n", "\n", " Percent; RACE - One race - Asian - Filipino \\\n", "0 3.4 \n", "1 1.2 \n", "2 0.8 \n", "3 1.0 \n", "4 1.3 \n", "\n", " Percent Margin of Error; RACE - One race - Asian - Filipino \\\n", "0 5.3 \n", "1 1.2 \n", "2 0.9 \n", "3 0.8 \n", "4 0.9 \n", "\n", " Estimate; RACE - One race - Asian - Japanese \\\n", "0 0 \n", "1 12 \n", "2 0 \n", "3 0 \n", "4 0 \n", "\n", " Margin of Error; RACE - One race - Asian - Japanese \\\n", "0 11 \n", "1 19 \n", "2 11 \n", "3 15 \n", "4 15 \n", "\n", " Percent; RACE - One race - Asian - Japanese \\\n", "0 0.0 \n", "1 0.2 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "\n", " Percent Margin of Error; RACE - One race - Asian - Japanese \\\n", "0 0.7 \n", "1 0.3 \n", "2 1.2 \n", "3 0.5 \n", "4 0.5 \n", "\n", " Estimate; RACE - One race - Asian - Korean \\\n", "0 3 \n", "1 0 \n", "2 0 \n", "3 4 \n", "4 63 \n", "\n", " Margin of Error; RACE - One race - Asian - Korean \\\n", "0 8 \n", "1 15 \n", "2 11 \n", "3 9 \n", "4 90 \n", "\n", " Percent; RACE - One race - Asian - Korean \\\n", "0 0.1 \n", "1 0.0 \n", "2 0.0 \n", "3 0.1 \n", "4 1.3 \n", "\n", " Percent Margin of Error; RACE - One race - Asian - Korean \\\n", "0 0.2 \n", "1 0.4 \n", "2 1.2 \n", "3 0.1 \n", "4 1.8 \n", "\n", " Estimate; RACE - One race - Asian - Vietnamese \\\n", "0 0 \n", "1 0 \n", "2 0 \n", "3 7 \n", "4 71 \n", "\n", " Margin of Error; RACE - One race - Asian - Vietnamese \\\n", "0 11 \n", "1 15 \n", "2 11 \n", "3 15 \n", "4 115 \n", "\n", " Percent; RACE - One race - Asian - Vietnamese \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.1 \n", "4 1.4 \n", "\n", " Percent Margin of Error; RACE - One race - Asian - Vietnamese \\\n", "0 0.7 \n", "1 0.4 \n", "2 1.2 \n", "3 0.2 \n", "4 2.3 \n", "\n", " Estimate; RACE - One race - Asian - Other Asian \\\n", "0 14 \n", "1 0 \n", "2 46 \n", "3 623 \n", "4 0 \n", "\n", " Margin of Error; RACE - One race - Asian - Other Asian \\\n", "0 21 \n", "1 15 \n", "2 70 \n", "3 547 \n", "4 15 \n", "\n", " Percent; RACE - One race - Asian - Other Asian \\\n", "0 0.3 \n", "1 0.0 \n", "2 2.0 \n", "3 10.3 \n", "4 0.0 \n", "\n", " Percent Margin of Error; RACE - One race - Asian - Other Asian \\\n", "0 0.5 \n", "1 0.4 \n", "2 3.0 \n", "3 8.5 \n", "4 0.5 \n", "\n", " Estimate; RACE - One race - Native Hawaiian and Other Pacific Islander \\\n", "0 0 \n", "1 0 \n", "2 0 \n", "3 0 \n", "4 0 \n", "\n", " Margin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander \\\n", "0 11 \n", "1 15 \n", "2 11 \n", "3 15 \n", "4 15 \n", "\n", " Percent; RACE - One race - Native Hawaiian and Other Pacific Islander \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "\n", " Percent Margin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander \\\n", "0 0.7 \n", "1 0.4 \n", "2 1.2 \n", "3 0.5 \n", "4 0.5 \n", "\n", " Estimate; RACE - One race - Native Hawaiian and Other Pacific Islander - Native Hawaiian \\\n", "0 0 \n", "1 0 \n", "2 0 \n", "3 0 \n", "4 0 \n", "\n", " Margin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander - Native Hawaiian \\\n", "0 11 \n", "1 15 \n", "2 11 \n", "3 15 \n", "4 15 \n", "\n", " Percent; RACE - One race - Native Hawaiian and Other Pacific Islander - Native Hawaiian \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "\n", " Percent Margin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander - Native Hawaiian \\\n", "0 0.7 \n", "1 0.4 \n", "2 1.2 \n", "3 0.5 \n", "4 0.5 \n", "\n", " Estimate; RACE - One race - Native Hawaiian and Other Pacific Islander - Guamanian or Chamorro \\\n", "0 0 \n", "1 0 \n", "2 0 \n", "3 0 \n", "4 0 \n", "\n", " Margin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander - Guamanian or Chamorro \\\n", "0 11 \n", "1 15 \n", "2 11 \n", "3 15 \n", "4 15 \n", "\n", " Percent; RACE - One race - Native Hawaiian and Other Pacific Islander - Guamanian or Chamorro \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "\n", " Percent Margin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander - Guamanian or Chamorro \\\n", "0 0.7 \n", "1 0.4 \n", "2 1.2 \n", "3 0.5 \n", "4 0.5 \n", "\n", " Estimate; RACE - One race - Native Hawaiian and Other Pacific Islander - Samoan \\\n", "0 0 \n", "1 0 \n", "2 0 \n", "3 0 \n", "4 0 \n", "\n", " Margin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander - Samoan \\\n", "0 11 \n", "1 15 \n", "2 11 \n", "3 15 \n", "4 15 \n", "\n", " Percent; RACE - One race - Native Hawaiian and Other Pacific Islander - Samoan \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "\n", " Percent Margin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander - Samoan \\\n", "0 0.7 \n", "1 0.4 \n", "2 1.2 \n", "3 0.5 \n", "4 0.5 \n", "\n", " Estimate; RACE - One race - Native Hawaiian and Other Pacific Islander - Other Pacific Islander \\\n", "0 0 \n", "1 0 \n", "2 0 \n", "3 0 \n", "4 0 \n", "\n", " Margin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander - Other Pacific Islander \\\n", "0 11 \n", "1 15 \n", "2 11 \n", "3 15 \n", "4 15 \n", "\n", " Percent; RACE - One race - Native Hawaiian and Other Pacific Islander - Other Pacific Islander \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "\n", " Percent Margin of Error; RACE - One race - Native Hawaiian and Other Pacific Islander - Other Pacific Islander \\\n", "0 0.7 \n", "1 0.4 \n", "2 1.2 \n", "3 0.5 \n", "4 0.5 \n", "\n", " Estimate; RACE - One race - Some other race \\\n", "0 66 \n", "1 40 \n", "2 185 \n", "3 129 \n", "4 95 \n", "\n", " Margin of Error; RACE - One race - Some other race \\\n", "0 47 \n", "1 38 \n", "2 132 \n", "3 116 \n", "4 106 \n", "\n", " Percent; RACE - One race - Some other race \\\n", "0 1.6 \n", "1 0.6 \n", "2 8.0 \n", "3 2.1 \n", "4 1.9 \n", "\n", " Percent Margin of Error; RACE - One race - Some other race \\\n", "0 1.2 \n", "1 0.5 \n", "2 5.5 \n", "3 1.9 \n", "4 2.1 \n", "\n", " Estimate; RACE - Two or more races \\\n", "0 113 \n", "1 257 \n", "2 70 \n", "3 167 \n", "4 177 \n", "\n", " Margin of Error; RACE - Two or more races \\\n", "0 83 \n", "1 169 \n", "2 60 \n", "3 99 \n", "4 96 \n", "\n", " Percent; RACE - Two or more races \\\n", "0 2.8 \n", "1 3.6 \n", "2 3.0 \n", "3 2.7 \n", "4 3.5 \n", "\n", " Percent Margin of Error; RACE - Two or more races \\\n", "0 2.0 \n", "1 2.3 \n", "2 2.6 \n", "3 1.7 \n", "4 1.9 \n", "\n", " Estimate; RACE - Two or more races - White and Black or African American \\\n", "0 46 \n", "1 51 \n", "2 2 \n", "3 48 \n", "4 46 \n", "\n", " Margin of Error; RACE - Two or more races - White and Black or African American \\\n", "0 57 \n", "1 62 \n", "2 9 \n", "3 45 \n", "4 41 \n", "\n", " Percent; RACE - Two or more races - White and Black or African American \\\n", "0 1.1 \n", "1 0.7 \n", "2 0.1 \n", "3 0.8 \n", "4 0.9 \n", "\n", " Percent Margin of Error; RACE - Two or more races - White and Black or African American \\\n", "0 1.4 \n", "1 0.8 \n", "2 0.4 \n", "3 0.8 \n", "4 0.8 \n", "\n", " Estimate; RACE - Two or more races - White and American Indian and Alaska Native \\\n", "0 0 \n", "1 86 \n", "2 27 \n", "3 0 \n", "4 0 \n", "\n", " Margin of Error; RACE - Two or more races - White and American Indian and Alaska Native \\\n", "0 11 \n", "1 140 \n", "2 42 \n", "3 15 \n", "4 15 \n", "\n", " Percent; RACE - Two or more races - White and American Indian and Alaska Native \\\n", "0 0.0 \n", "1 1.2 \n", "2 1.2 \n", "3 0.0 \n", "4 0.0 \n", "\n", " Percent Margin of Error; RACE - Two or more races - White and American Indian and Alaska Native \\\n", "0 0.7 \n", "1 1.9 \n", "2 1.8 \n", "3 0.5 \n", "4 0.5 \n", "\n", " Estimate; RACE - Two or more races - White and Asian \\\n", "0 29 \n", "1 62 \n", "2 5 \n", "3 0 \n", "4 44 \n", "\n", " Margin of Error; RACE - Two or more races - White and Asian \\\n", "0 47 \n", "1 70 \n", "2 9 \n", "3 15 \n", "4 50 \n", "\n", " Percent; RACE - Two or more races - White and Asian \\\n", "0 0.7 \n", "1 0.9 \n", "2 0.2 \n", "3 0.0 \n", "4 0.9 \n", "\n", " Percent Margin of Error; RACE - Two or more races - White and Asian \\\n", "0 1.1 \n", "1 1.0 \n", "2 0.4 \n", "3 0.5 \n", "4 1.0 \n", "\n", " Estimate; RACE - Two or more races - Black or African American and American Indian and Alaska Native \\\n", "0 14 \n", "1 11 \n", "2 0 \n", "3 13 \n", "4 0 \n", "\n", " Margin of Error; RACE - Two or more races - Black or African American and American Indian and Alaska Native \\\n", "0 22 \n", "1 18 \n", "2 11 \n", "3 20 \n", "4 15 \n", "\n", " Percent; RACE - Two or more races - Black or African American and American Indian and Alaska Native \\\n", "0 0.3 \n", "1 0.2 \n", "2 0.0 \n", "3 0.2 \n", "4 0.0 \n", "\n", " Percent Margin of Error; RACE - Two or more races - Black or African American and American Indian and Alaska Native \\\n", "0 0.5 \n", "1 0.3 \n", "2 1.2 \n", "3 0.3 \n", "4 0.5 \n", "\n", " Estimate; RACE - Race alone or in combination with one or more other races - Total population \\\n", "0 4106 \n", "1 7229 \n", "2 2304 \n", "3 6077 \n", "4 5011 \n", "\n", " Margin of Error; RACE - Race alone or in combination with one or more other races - Total population \\\n", "0 468 \n", "1 942 \n", "2 271 \n", "3 694 \n", "4 544 \n", "\n", " Percent; RACE - Race alone or in combination with one or more other races - Total population \\\n", "0 4106 \n", "1 7229 \n", "2 2304 \n", "3 6077 \n", "4 5011 \n", "\n", " Percent Margin of Error; RACE - Race alone or in combination with one or more other races - Total population \\\n", "0 (X) \n", "1 (X) \n", "2 (X) \n", "3 (X) \n", "4 (X) \n", "\n", " Estimate; RACE - Race alone or in combination with one or more other races - Total population - White \\\n", "0 2271 \n", "1 3601 \n", "2 1229 \n", "3 3606 \n", "4 3865 \n", "\n", " Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - White \\\n", "0 422 \n", "1 702 \n", "2 241 \n", "3 511 \n", "4 513 \n", "\n", " Percent; RACE - Race alone or in combination with one or more other races - Total population - White \\\n", "0 55.3 \n", "1 49.8 \n", "2 53.3 \n", "3 59.3 \n", "4 77.1 \n", "\n", " Percent Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - White \\\n", "0 8.5 \n", "1 7.4 \n", "2 9.0 \n", "3 7.9 \n", "4 7.4 \n", "\n", " Estimate; RACE - Race alone or in combination with one or more other races - Total population - Black or African American \\\n", "0 1670 \n", "1 3390 \n", "2 676 \n", "3 1660 \n", "4 719 \n", "\n", " Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - Black or African American \\\n", "0 355 \n", "1 724 \n", "2 167 \n", "3 363 \n", "4 385 \n", "\n", " Percent; RACE - Race alone or in combination with one or more other races - Total population - Black or African American \\\n", "0 40.7 \n", "1 46.9 \n", "2 29.3 \n", "3 27.3 \n", "4 14.3 \n", "\n", " Percent Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - Black or African American \\\n", "0 7.9 \n", "1 7.8 \n", "2 8.0 \n", "3 5.5 \n", "4 7.2 \n", "\n", " Estimate; RACE - Race alone or in combination with one or more other races - Total population - American Indian and Alaska Native \\\n", "0 24 \n", "1 123 \n", "2 58 \n", "3 61 \n", "4 27 \n", "\n", " Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - American Indian and Alaska Native \\\n", "0 27 \n", "1 146 \n", "2 53 \n", "3 59 \n", "4 31 \n", "\n", " Percent; RACE - Race alone or in combination with one or more other races - Total population - American Indian and Alaska Native \\\n", "0 0.6 \n", "1 1.7 \n", "2 2.5 \n", "3 1.0 \n", "4 0.5 \n", "\n", " Percent Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - American Indian and Alaska Native \\\n", "0 0.7 \n", "1 2.0 \n", "2 2.3 \n", "3 1.0 \n", "4 0.6 \n", "\n", " Estimate; RACE - Race alone or in combination with one or more other races - Total population - Asian \\\n", "0 184 \n", "1 285 \n", "2 190 \n", "3 773 \n", "4 421 \n", "\n", " Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - Asian \\\n", "0 232 \n", "1 193 \n", "2 186 \n", "3 557 \n", "4 190 \n", "\n", " Percent; RACE - Race alone or in combination with one or more other races - Total population - Asian \\\n", "0 4.5 \n", "1 3.9 \n", "2 8.2 \n", "3 12.7 \n", "4 8.4 \n", "\n", " Percent Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - Asian \\\n", "0 5.5 \n", "1 2.6 \n", "2 7.5 \n", "3 8.5 \n", "4 3.8 \n", "\n", " Estimate; RACE - Race alone or in combination with one or more other races - Total population - Native Hawaiian and Other Pacific Islander \\\n", "0 0 \n", "1 11 \n", "2 0 \n", "3 5 \n", "4 14 \n", "\n", " Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - Native Hawaiian and Other Pacific Islander \\\n", "0 11 \n", "1 18 \n", "2 11 \n", "3 11 \n", "4 22 \n", "\n", " Percent; RACE - Race alone or in combination with one or more other races - Total population - Native Hawaiian and Other Pacific Islander \\\n", "0 0.0 \n", "1 0.2 \n", "2 0.0 \n", "3 0.1 \n", "4 0.3 \n", "\n", " Percent Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - Native Hawaiian and Other Pacific Islander \\\n", "0 0.7 \n", "1 0.3 \n", "2 1.2 \n", "3 0.2 \n", "4 0.5 \n", "\n", " Estimate; RACE - Race alone or in combination with one or more other races - Total population - Some other race \\\n", "0 80 \n", "1 76 \n", "2 221 \n", "3 198 \n", "4 155 \n", "\n", " Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - Some other race \\\n", "0 57 \n", "1 77 \n", "2 138 \n", "3 144 \n", "4 120 \n", "\n", " Percent; RACE - Race alone or in combination with one or more other races - Total population - Some other race \\\n", "0 1.9 \n", "1 1.1 \n", "2 9.6 \n", "3 3.3 \n", "4 3.1 \n", "\n", " Percent Margin of Error; RACE - Race alone or in combination with one or more other races - Total population - Some other race \\\n", "0 1.4 \n", "1 1.1 \n", "2 5.7 \n", "3 2.4 \n", "4 2.4 \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total population \\\n", "0 4106 \n", "1 7229 \n", "2 2304 \n", "3 6077 \n", "4 5011 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total population \\\n", "0 468 \n", "1 942 \n", "2 271 \n", "3 694 \n", "4 544 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population \\\n", "0 4106 \n", "1 7229 \n", "2 2304 \n", "3 6077 \n", "4 5011 \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population \\\n", "0 (X) \n", "1 (X) \n", "2 (X) \n", "3 (X) \n", "4 (X) \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) \\\n", "0 475 \n", "1 1990 \n", "2 609 \n", "3 979 \n", "4 417 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) \\\n", "0 317 \n", "1 657 \n", "2 210 \n", "3 406 \n", "4 179 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) \\\n", "0 11.6 \n", "1 27.5 \n", "2 26.4 \n", "3 16.1 \n", "4 8.3 \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) \\\n", "0 7.1 \n", "1 7.2 \n", "2 7.8 \n", "3 6.6 \n", "4 3.3 \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Mexican \\\n", "0 271 \n", "1 1744 \n", "2 428 \n", "3 649 \n", "4 289 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Mexican \\\n", "0 287 \n", "1 633 \n", "2 166 \n", "3 373 \n", "4 145 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Mexican \\\n", "0 6.6 \n", "1 24.1 \n", "2 18.6 \n", "3 10.7 \n", "4 5.8 \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Mexican \\\n", "0 6.7 \n", "1 7.2 \n", "2 6.6 \n", "3 6.0 \n", "4 2.8 \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Puerto Rican \\\n", "0 114 \n", "1 53 \n", "2 51 \n", "3 47 \n", "4 27 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Puerto Rican \\\n", "0 137 \n", "1 64 \n", "2 57 \n", "3 43 \n", "4 28 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Puerto Rican \\\n", "0 2.8 \n", "1 0.7 \n", "2 2.2 \n", "3 0.8 \n", "4 0.5 \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Puerto Rican \\\n", "0 3.2 \n", "1 0.9 \n", "2 2.5 \n", "3 0.7 \n", "4 0.6 \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Cuban \\\n", "0 0 \n", "1 104 \n", "2 15 \n", "3 58 \n", "4 37 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Cuban \\\n", "0 11 \n", "1 120 \n", "2 25 \n", "3 91 \n", "4 60 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Cuban \\\n", "0 0.0 \n", "1 1.4 \n", "2 0.7 \n", "3 1.0 \n", "4 0.7 \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Cuban \\\n", "0 0.7 \n", "1 1.7 \n", "2 1.1 \n", "3 1.5 \n", "4 1.2 \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Other Hispanic or Latino \\\n", "0 90 \n", "1 89 \n", "2 115 \n", "3 225 \n", "4 64 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Other Hispanic or Latino \\\n", "0 85 \n", "1 72 \n", "2 103 \n", "3 172 \n", "4 80 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Other Hispanic or Latino \\\n", "0 2.2 \n", "1 1.2 \n", "2 5.0 \n", "3 3.7 \n", "4 1.3 \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Other Hispanic or Latino \\\n", "0 2.1 \n", "1 1.0 \n", "2 4.3 \n", "3 2.8 \n", "4 1.6 \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino \\\n", "0 3631 \n", "1 5239 \n", "2 1695 \n", "3 5098 \n", "4 4594 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino \\\n", "0 421 \n", "1 708 \n", "2 235 \n", "3 722 \n", "4 494 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino \\\n", "0 88.4 \n", "1 72.5 \n", "2 73.6 \n", "3 83.9 \n", "4 91.7 \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino \\\n", "0 7.1 \n", "1 7.2 \n", "2 7.8 \n", "3 6.6 \n", "4 3.3 \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - White alone \\\n", "0 1830 \n", "1 1538 \n", "2 817 \n", "3 2767 \n", "4 3467 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - White alone \\\n", "0 321 \n", "1 255 \n", "2 214 \n", "3 405 \n", "4 479 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - White alone \\\n", "0 44.6 \n", "1 21.3 \n", "2 35.5 \n", "3 45.5 \n", "4 69.2 \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - White alone \\\n", "0 7.4 \n", "1 4.5 \n", "2 9.2 \n", "3 6.6 \n", "4 7.5 \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Black or African American alone \\\n", "0 1519 \n", "1 3295 \n", "2 648 \n", "3 1476 \n", "4 613 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Black or African American alone \\\n", "0 323 \n", "1 721 \n", "2 162 \n", "3 343 \n", "4 361 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Black or African American alone \\\n", "0 37.0 \n", "1 45.6 \n", "2 28.1 \n", "3 24.3 \n", "4 12.2 \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Black or African American alone \\\n", "0 7.6 \n", "1 7.8 \n", "2 7.7 \n", "3 5.2 \n", "4 6.8 \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - American Indian and Alaska Native alone \\\n", "0 0 \n", "1 26 \n", "2 0 \n", "3 6 \n", "4 0 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - American Indian and Alaska Native alone \\\n", "0 11 \n", "1 42 \n", "2 11 \n", "3 12 \n", "4 15 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - American Indian and Alaska Native alone \\\n", "0 0.0 \n", "1 0.4 \n", "2 0.0 \n", "3 0.1 \n", "4 0.0 \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - American Indian and Alaska Native alone \\\n", "0 0.7 \n", "1 0.6 \n", "2 1.2 \n", "3 0.2 \n", "4 0.5 \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Asian alone \\\n", "0 155 \n", "1 223 \n", "2 177 \n", "3 751 \n", "4 328 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Asian alone \\\n", "0 227 \n", "1 178 \n", "2 182 \n", "3 559 \n", "4 170 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Asian alone \\\n", "0 3.8 \n", "1 3.1 \n", "2 7.7 \n", "3 12.4 \n", "4 6.5 \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Asian alone \\\n", "0 5.4 \n", "1 2.4 \n", "2 7.4 \n", "3 8.5 \n", "4 3.4 \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Native Hawaiian and Other Pacific Islander alone \\\n", "0 0 \n", "1 0 \n", "2 0 \n", "3 0 \n", "4 0 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Native Hawaiian and Other Pacific Islander alone \\\n", "0 11 \n", "1 15 \n", "2 11 \n", "3 15 \n", "4 15 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Native Hawaiian and Other Pacific Islander alone \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Native Hawaiian and Other Pacific Islander alone \\\n", "0 0.7 \n", "1 0.4 \n", "2 1.2 \n", "3 0.5 \n", "4 0.5 \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Some other race alone \\\n", "0 14 \n", "1 11 \n", "2 0 \n", "3 0 \n", "4 36 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Some other race alone \\\n", "0 23 \n", "1 17 \n", "2 11 \n", "3 15 \n", "4 57 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Some other race alone \\\n", "0 0.3 \n", "1 0.2 \n", "2 0.0 \n", "3 0.0 \n", "4 0.7 \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Some other race alone \\\n", "0 0.6 \n", "1 0.2 \n", "2 1.2 \n", "3 0.5 \n", "4 1.1 \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races \\\n", "0 113 \n", "1 146 \n", "2 53 \n", "3 98 \n", "4 150 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races \\\n", "0 83 \n", "1 135 \n", "2 53 \n", "3 67 \n", "4 89 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races \\\n", "0 2.8 \n", "1 2.0 \n", "2 2.3 \n", "3 1.6 \n", "4 3.0 \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races \\\n", "0 2.0 \n", "1 1.8 \n", "2 2.3 \n", "3 1.1 \n", "4 1.8 \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races including Some other race \\\n", "0 14 \n", "1 0 \n", "2 19 \n", "3 0 \n", "4 47 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races including Some other race \\\n", "0 23 \n", "1 15 \n", "2 30 \n", "3 15 \n", "4 53 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races including Some other race \\\n", "0 0.3 \n", "1 0.0 \n", "2 0.8 \n", "3 0.0 \n", "4 0.9 \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races including Some other race \\\n", "0 0.6 \n", "1 0.4 \n", "2 1.3 \n", "3 0.5 \n", "4 1.1 \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races excluding Some other race, and Three or more races \\\n", "0 99 \n", "1 146 \n", "2 34 \n", "3 98 \n", "4 103 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races excluding Some other race, and Three or more races \\\n", "0 79 \n", "1 135 \n", "2 42 \n", "3 67 \n", "4 68 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races excluding Some other race, and Three or more races \\\n", "0 2.4 \n", "1 2.0 \n", "2 1.5 \n", "3 1.6 \n", "4 2.1 \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races excluding Some other race, and Three or more races \\\n", "0 2.0 \n", "1 1.8 \n", "2 1.8 \n", "3 1.1 \n", "4 1.3 \n", "\n", " Estimate; HISPANIC OR LATINO AND RACE - Total housing units \\\n", "0 2625 \n", "1 3007 \n", "2 1227 \n", "3 3264 \n", "4 2199 \n", "\n", " Margin of Error; HISPANIC OR LATINO AND RACE - Total housing units \\\n", "0 41 \n", "1 66 \n", "2 35 \n", "3 95 \n", "4 72 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total housing units \\\n", "0 (X) \n", "1 (X) \n", "2 (X) \n", "3 (X) \n", "4 (X) \n", "\n", " Percent Margin of Error; HISPANIC OR LATINO AND RACE - Total housing units \\\n", "0 (X) \n", "1 (X) \n", "2 (X) \n", "3 (X) \n", "4 (X) \n", "\n", " Estimate; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population \\\n", "0 2989 \n", "1 3847 \n", "2 1499 \n", "3 4150 \n", "4 4144 \n", "\n", " Margin of Error; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population \\\n", "0 340 \n", "1 455 \n", "2 201 \n", "3 496 \n", "4 403 \n", "\n", " Percent; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population \\\n", "0 2989 \n", "1 3847 \n", "2 1499 \n", "3 4150 \n", "4 4144 \n", "\n", " Percent Margin of Error; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population \\\n", "0 (X) \n", "1 (X) \n", "2 (X) \n", "3 (X) \n", "4 (X) \n", "\n", " Estimate; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population - Male \\\n", "0 1315 \n", "1 1824 \n", "2 827 \n", "3 2069 \n", "4 1642 \n", "\n", " Margin of Error; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population - Male \\\n", "0 233 \n", "1 352 \n", "2 166 \n", "3 351 \n", "4 204 \n", "\n", " Percent; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population - Male \\\n", "0 44.0 \n", "1 47.4 \n", "2 55.2 \n", "3 49.9 \n", "4 39.6 \n", "\n", " Percent Margin of Error; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population - Male \\\n", "0 5.8 \n", "1 5.6 \n", "2 6.6 \n", "3 5.1 \n", "4 4.9 \n", "\n", " Estimate; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population - Female \\\n", "0 1674 \n", "1 2023 \n", "2 672 \n", "3 2081 \n", "4 2502 \n", "\n", " Margin of Error; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population - Female \\\n", "0 254 \n", "1 261 \n", "2 116 \n", "3 296 \n", "4 375 \n", "\n", " Percent; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population - Female \\\n", "0 56.0 \n", "1 52.6 \n", "2 44.8 \n", "3 50.1 \n", "4 60.4 \n", "\n", " Percent Margin of Error; CITIZEN, VOTING AGE POPULATION - Citizen, 18 and over population - Female \n", "0 5.8 \n", "1 5.6 \n", "2 6.6 \n", "3 5.1 \n", "4 4.9 " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ZIP_PATH = os.path.join('data', 'ACS_15_5YR_DP05.zip') \n", "with ZipFile(ZIP_PATH) as zip_file:\n", " with zip_file.open('ACS_15_5YR_DP05_with_ann.csv') as my_zipped_csv:\n", " il_acs_15 = pd.read_csv(my_zipped_csv, header=1)\n", "\n", "il_acs_15.head()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "one_race_cols = []\n", "for col_name in il_acs_15.columns.tolist():\n", " if (\"One race\" in col_name) & (\"Percent;\" in col_name):\n", " one_race_cols.append(col_name)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['Percent; RACE - Total population - One race',\n", " 'Percent; RACE - One race',\n", " 'Percent; RACE - One race - White',\n", " 'Percent; RACE - One race - Black or African American',\n", " 'Percent; RACE - One race - American Indian and Alaska Native',\n", " 'Percent; RACE - One race - American Indian and Alaska Native - Cherokee tribal grouping',\n", " 'Percent; RACE - One race - American Indian and Alaska Native - Chippewa tribal grouping',\n", " 'Percent; RACE - One race - American Indian and Alaska Native - Navajo tribal grouping',\n", " 'Percent; RACE - One race - American Indian and Alaska Native - Sioux tribal grouping',\n", " 'Percent; RACE - One race - Asian',\n", " 'Percent; RACE - One race - Asian - Asian Indian',\n", " 'Percent; RACE - One race - Asian - Chinese',\n", " 'Percent; RACE - One race - Asian - Filipino',\n", " 'Percent; RACE - One race - Asian - Japanese',\n", " 'Percent; RACE - One race - Asian - Korean',\n", " 'Percent; RACE - One race - Asian - Vietnamese',\n", " 'Percent; RACE - One race - Asian - Other Asian',\n", " 'Percent; RACE - One race - Native Hawaiian and Other Pacific Islander',\n", " 'Percent; RACE - One race - Native Hawaiian and Other Pacific Islander - Native Hawaiian',\n", " 'Percent; RACE - One race - Native Hawaiian and Other Pacific Islander - Guamanian or Chamorro',\n", " 'Percent; RACE - One race - Native Hawaiian and Other Pacific Islander - Samoan',\n", " 'Percent; RACE - One race - Native Hawaiian and Other Pacific Islander - Other Pacific Islander',\n", " 'Percent; RACE - One race - Some other race']" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "one_race_cols" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "race_df = il_acs_15[['Id2', \n", " 'Percent; RACE - One race',\n", " 'Percent; RACE - One race - White', \n", " 'Percent; RACE - One race - Black or African American', \n", " 'Percent; RACE - One race - Asian', \n", " 'Percent; RACE - One race - Some other race']].copy()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Id2Percent; RACE - One racePercent; RACE - One race - WhitePercent; RACE - One race - Black or African AmericanPercent; RACE - One race - AsianPercent; RACE - One race - Some other race
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" ], "text/plain": [ " Id2 Percent; RACE - One race Percent; RACE - One race - White \\\n", "0 17031010100 97.2 53.2 \n", "1 17031010201 96.4 46.9 \n", "2 17031010202 97.0 51.1 \n", "3 17031010300 97.3 57.2 \n", "4 17031010400 96.5 74.7 \n", "\n", " Percent; RACE - One race - Black or African American \\\n", "0 38.6 \n", "1 45.6 \n", "2 29.3 \n", "3 25.4 \n", "4 13.2 \n", "\n", " Percent; RACE - One race - Asian Percent; RACE - One race - Some other race \n", "0 3.8 1.6 \n", "1 3.1 0.6 \n", "2 8.0 8.0 \n", "3 12.4 2.1 \n", "4 6.7 1.9 " ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "race_df.head()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "ZIP_SHP_PATH = os.path.join('zip://', 'data', 'Boundaries - Census Tracts - 2010.zip')\n", "coord_system = {'init': 'epsg:4326'}\n", "chicago_census_tracts = gpd.read_file(ZIP_SHP_PATH).to_crs(coord_system)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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statefp10countyfp10tractce10namelsad10commareageoid10commarea_nname10notesgeometryId2Percent; RACE - One racePercent; RACE - One race - WhitePercent; RACE - One race - Black or African AmericanPercent; RACE - One race - AsianPercent; RACE - One race - Some other race
017031842400Census Tract 8424441703184240044.08424NonePOLYGON ((-87.62404799998049 41.73021699998396...17031842400100.00.0100.00.00.0
117031840300Census Tract 8403591703184030059.08403NonePOLYGON ((-87.6860799999848 41.82295600001154,...1703184030095.449.43.820.118.6
217031841100Census Tract 8411341703184110034.08411NonePOLYGON ((-87.62934700001183 41.8527970000265,...1703184110096.33.34.588.10.4
317031841200Census Tract 8412311703184120031.08412NonePOLYGON ((-87.68813499997718 41.85569099999095...1703184120098.251.83.90.442.0
417031838200Census Tract 8382281703183820028.08382NonePOLYGON ((-87.66781999997529 41.8741839999791,...1703183820096.653.623.315.24.4
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" ], "text/plain": [ " statefp10 countyfp10 tractce10 namelsad10 commarea geoid10 \\\n", "0 17 031 842400 Census Tract 8424 44 17031842400 \n", "1 17 031 840300 Census Tract 8403 59 17031840300 \n", "2 17 031 841100 Census Tract 8411 34 17031841100 \n", "3 17 031 841200 Census Tract 8412 31 17031841200 \n", "4 17 031 838200 Census Tract 8382 28 17031838200 \n", "\n", " commarea_n name10 notes geometry \\\n", "0 44.0 8424 None POLYGON ((-87.62404799998049 41.73021699998396... \n", "1 59.0 8403 None POLYGON ((-87.6860799999848 41.82295600001154,... \n", "2 34.0 8411 None POLYGON ((-87.62934700001183 41.8527970000265,... \n", "3 31.0 8412 None POLYGON ((-87.68813499997718 41.85569099999095... \n", "4 28.0 8382 None POLYGON ((-87.66781999997529 41.8741839999791,... \n", "\n", " Id2 Percent; RACE - One race Percent; RACE - One race - White \\\n", "0 17031842400 100.0 0.0 \n", "1 17031840300 95.4 49.4 \n", "2 17031841100 96.3 3.3 \n", "3 17031841200 98.2 51.8 \n", "4 17031838200 96.6 53.6 \n", "\n", " Percent; RACE - One race - Black or African American \\\n", "0 100.0 \n", "1 3.8 \n", "2 4.5 \n", "3 3.9 \n", "4 23.3 \n", "\n", " Percent; RACE - One race - Asian Percent; RACE - One race - Some other race \n", "0 0.0 0.0 \n", "1 20.1 18.6 \n", "2 88.1 0.4 \n", "3 0.4 42.0 \n", "4 15.2 4.4 " ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "chicago_race = pd.merge(left=chicago_census_tracts, right=race_df, left_on='geoid10', right_on='Id2')\n", "chicago_race.head()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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statefp10countyfp10tractce10namelsad10commareageoid10commarea_nname10notesgeometryId2Percent; RACE - One racePercent; RACE - One race - WhitePercent; RACE - One race - Black or African AmericanPercent; RACE - One race - AsianPercent; RACE - One race - Some other race
8517031980100Census Tract 9801561703198010056.09801Half in CA 64 (Midway Airport)POLYGON ((-87.73789600001243 41.78578500000872...17031980100-----
41417031381700Census Tract 3817381703138170038.03817NonePOLYGON ((-87.62798399996935 41.80191199998851...17031381700-----
66717031980000Census Tract 9800761703198000076.09800Partially outside City Boundary (O'Hare)POLYGON ((-87.92062799997296 42.00453199998842...17031980000-----
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" ], "text/plain": [ " statefp10 countyfp10 tractce10 namelsad10 commarea geoid10 \\\n", "85 17 031 980100 Census Tract 9801 56 17031980100 \n", "414 17 031 381700 Census Tract 3817 38 17031381700 \n", "667 17 031 980000 Census Tract 9800 76 17031980000 \n", "\n", " commarea_n name10 notes \\\n", "85 56.0 9801 Half in CA 64 (Midway Airport) \n", "414 38.0 3817 None \n", "667 76.0 9800 Partially outside City Boundary (O'Hare) \n", "\n", " geometry Id2 \\\n", "85 POLYGON ((-87.73789600001243 41.78578500000872... 17031980100 \n", "414 POLYGON ((-87.62798399996935 41.80191199998851... 17031381700 \n", "667 POLYGON ((-87.92062799997296 42.00453199998842... 17031980000 \n", "\n", " Percent; RACE - One race Percent; RACE - One race - White \\\n", "85 - - \n", "414 - - \n", "667 - - \n", "\n", " Percent; RACE - One race - Black or African American \\\n", "85 - \n", "414 - \n", "667 - \n", "\n", " Percent; RACE - One race - Asian \\\n", "85 - \n", "414 - \n", "667 - \n", "\n", " Percent; RACE - One race - Some other race \n", "85 - \n", "414 - \n", "667 - " ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "chicago_race[chicago_race['Percent; RACE - One race - Asian'] == '-']" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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C0qVL7QqEACA6Oho//vgjBUKEEJvRN6obCwgIcLsJ59RqNdLT04u7GKSI3Lp1C+XKlcN3330HhUIBpVKZ45Hneae6gy1fvhxnz551YaltFxUVhS+//BJ9+vTBsWPHUK5cOafOp9VqodVqc6yvVq0aYmJi8O233+K9995z6hqk8PE8j6pVqyIjI8PuBARWBoPB6XF1LMvCaDTavP9rr72GjIwM/P7773j11VcL3L9ixYoICgrCnTt38g2EeJ7PEexYeXh45CjjqFGjMHv2bNy+fRtVqlSxufzR0dF466238Omnn1IXU0KITWhUrhtzx0HVHh4eSEtLK+5ikCIiiiKCg4MRFhaG4OBgBAYGwt/fHz4+PnL3GmcrLMWdNe69997DO++8g06dOuV519tZDMNg9uzZmDZtGrWougGWZfHgwQOnAmODweB06x/HcXb9vvA8j169emHOnDk2H+Pj44PU1NR891EoFHkGQtZW3cw0Gg2qVauGrVu32lwOAIiIiIDRaLQpkx0hhADUIuTW3DFZglqtxvz583H48OEs4zwyMjKyPLc+WvvSp6WlYdiwYRg7dmxxvwVih6IYuFzcgRAAzJw5Ez169MB7772HDRs2FMpNipdffhl16tTBqlWrMHToUJefn7gOx3HIyMhA2bJlHT6HyWRy+vfa3kAIAPr27Yu2bdvanMFQEASnAiFBEHLt2tqtWzfExMRgzJgxthUcz24YWLvH1a5d2+bjCCGlFwVCbkypVLrd3eHBgwfjwIEDMBgMUKvV8PPzk/vNWx+ti3WwrkKhwN27d9GnTx+MGDHCbTOElUZFkdGtJARCLMti7dq1aN26NaZOnYqZM2cWynVmzpyJDh064P3334dGoymUaxDnsSwLvV4PQRAcPofRaHRJi5A9XeMAoHHjxlCr1Vi3bp1NY4V4ni/wGvl1jcutRQgARo8ejblz5+Lu3bsIDAy0rfB41j1u2rRpmDBhgs3HEEJKLwqE3JhKpSq0rjiFpVOnTujUqZPdx4WHhyMkJAS///47Zc5yI6WlRQh4VqHbsWMHGjdujLCwMPTp08fl12jQoAGaNGmC5cuX53qnfOTIkdi4cSO8vLzAcRy8vLxgMBiypDm2VtJ37NhBd80LiXVsjjOBkCtahFiWtTuzKMMwGDFiBObNm2dTIGRLanyFQpHnd1VeLUIeHh4IDg7Gtm3bMHz4cNsKD6Bly5a4dOkSEhISUL58eZuPI4SUThQIuTG1Wp3nXbbnUY8ePbBx40YKhNyIyWQq9ECoJE1C6u/vj59++gmvvPIKqlSpkmu6YGfNmDEDrVu3xsCBA3NkAzt8+DA+/fRTvPjiizCbzUhNTYVCoYBarc6Sra9Tp0548OABBUKFhGVZudXbUa5qEXKk18DgwYMxc+ZMHD58GM2aNct3X1tahJRKpd0tQgDQtWtXrFu3zq5ASKVSISoqCj/99BPef/99m48jhJROJaP24GaSk5PRrfd7WLFiJW7evFls5ShtgVDXrl2xc+fOYkuVTOxz+vRpLFy4EHXr1i3U65SUFiGr2rVrY/369ejevTuuXbvm8vPXqVMHUVFRWLx4cY5tqampiIyMRFhYGGrXro3GjRujQYMGqFWrFmrXro3w8HDUq1cP5cqVyzU7HXENawDiTCCk1+ud7lZqbf2zl7e3NwYNGoQRI0YUuK9CoSgwEBIEATqdLtdtarUaoijmum3cuHG4dOmS3SnEreOECCGkIBQIOSAhIQH7Uvyx6G9ftBj7JYJbdcP7Q4Zj27ZtSEpKKrJyaDSaUhUIBQUFISAgAGfOnCnuopAC3Lp1Cy1atMDMmTPtupvriJIWCAHP0hDPmjUL7du3x+PHj11+/qlTp2L27NnYsGFDlvXJycnw9vYu8HidTkdjjAqRtWucUql0+ByuaBGypbUmL2PGjMGlS5dw/fr1fPdTqVQFTomQ37QJarUaRqMRPj4+8PT0hFqtBsMw2LZtG1544QWwLIvt27fbVfZ27drhjz/+KFXfj4QQx1Ag5ACFQgGtRoCB14IPaw7ppffwh/cb+ORAKmq+MxERb/TAsNHjsGHDBpw9e7bQ5s0RBMHt5hFyVtOmTXH8+PHiLgYpwP379xEeHo4ePXoU+rVKYiAEAAMGDECXLl3QpUsXlyc1qV69OqZPn45evXrh1q1b8vqnT5/Cx8enwOPT09OpRagQWcfmONMiZDAYnAqkrOVwNBCqWLEiunbtisGDB+e7ny2TZGs0mjynTfDy8oLZbMa+ffvw559/4sqVK3jhhRfQs2dPxMXFITg4GN98841dZffz80ODBg3w22+/2XUcIaT0oTFCDlCpVBBNBmSveunV5aB+oSOeAtgJCb+efArTnt1IuXsDSmMKKnjyCPH3RK0qFRAWWh3Vq1dHWFhYlpnl7XH79m1sPHUf6xtGQZAM0HAWqDkJSo6BBEBQ8ggLDcW0adNQsWJFZ992iVC3bl1cunSpuItBCuCKu9m2EkWxxGYSnDdvHrp3745+/fohJibGpQHbhAkTkJqailmzZmH16tUwGAwQRdGmAfoUCBUujuNcEgg5+nttsVhgMpkgSRLi4uJw9epVmM3mLFMTGAwG6PV66PV66HQ6GAwGGI1G6PV6GAwGmEwmmM1m/PHHH+jTp48cVJlMpizL0aNHwTAM/vrrL4iiCIvFAlEU5SUtLQ3x8fHo3r17rmW1Xi8jIwP169cHABw6dAj//PMPBEGARqNBYGCg3Vn4oqOjsXPnTnTs2NGhz5AQUjpQIOQAjuMgFTh/DwO90geo4ANthWdjJBL/XU7oLVCdToP4xxGk3osBk/YIFTw5VC/vhfCQINQIC0Vo6LPF09MzzyuoPLzh93o0gGcZe3T/Lv8rgYS7+iRse2c8uIwnUFgM0Ep61KlaHm3eeAPNmjVD7dq1S8xAc1tUrlyZ7vK5gaCgIFy8eBHr1q1D3759C/Vatlb+iwPLsoiJiUF0dDTeeOMN7Nq1y6VlHTNmDCpWrIibN29izpw5MJlMuHTpEurUqZPvcRQIFS6WZcEwTL6B0KZNmzB37lw5gUXm4MFiseDx48dITU1F/fr1YTabYTQaYTabIYoiTCaT/Nq6znoOi8UCSZLAsizUajU+/PBDaLVaMAwDnudzLAqFAgqFAkqlEjzPy1MWKBQKcBwHPz8/fPvtt+jVqxfUajW8vb3l/RUKBZo1awaO48BxHHieB8dx8vEKhQKzZs1C9erVMXny5Fw/h6SkJCgUCjRu3Fhep9FoUKNGDfm1UqlEYmIigoKCbP4ZdOzYEQsXLixRyVQIISUPBUIOUCgUsJgc624AABJY6BVeQDkvCOXCAABPAPwJ4GS6BcpjT2He/Rue3l0JpSEJQd5KhFXwRd3qlVGjRhjCwsIQFBSE307/DbzUKp/rMDAJfvBs+r/uSUYAF0Q9zh2/g/QfV8H08AYCpCdoHlkPgwcPlu/I3bt3D+vWrUPr1q2zfEEVtzJlyuDJkyfFXQxSgGrVquHQoUNo3749li9fjk2bNqFKlSqFcq2S2jXO6s6dO6hcuTLWrFmDlJQUlwZCfn5+qFevHvbu3StnUwwPD0eHDh0wceJENG3aNMcxFosFGRkZNEaoEFnTlOfXKhoTEwOdTodx48bJAUnmIESSJFy/fh1KpRJKpRJXr17F0qVLsXXrViiVSnh5eUGtVkOr1UKtVkOpVMotKNYudTVr1sTkyZPRq1cvh9/LwYMH0aFDB6xZs8ahrnqxsbHw8/NDzZo1c91uLXN+wYpCobC7i3loaCh8fX1x6tQpNGrUyK5jCSGlBwVCDtBqtTBmpMG53tu5s4CFXuULBPhCG/Dsrm7Cv8vRx2bwfyTBsHkr0h/Fw6tOe4euYeIEwD8Mgn8YBADpAP7QP8H2iavB3jsPDWdBsroifMNbYtHkNeCeTIbCYgRvMUDHecBLSkfrxhH4dOFCeHh4uOqt20QQBLebO6m0qlOnDvr3748ZM2agdu3a6NChA9atW+fy1puSeMfXbDZj586d+Pzzz3H+/Hn0798fDx8+RLly5Vx+rR9++AGhoaHYvXs3zp49i9mzZ2PXrl3YtWsXhg8fjiVLlmTZX6/XQ6VSlbjP7HnCcRxYli2wa1v79u0xcOBAm855/PhxrF271q552JxJlmD18ssvIzg4GBMmTMB///tfu48XBAGbNm2Ch4eH3JLVuHFjObV1XvMIZcbzvEP/963Z4ygQIoTkhb4JHaBQKCA60SLkKDPDQ68uB6lSA2gaRMPsWcFl5zYKflBHtIWq7XiIURPg2fxdmH2rQNMgGqrXRoCNGgdLm0kQXh8JY9Qn+I1rhKot3kL76E5F2kLDcVyeqVZJyaNUKjFq1CgcOXIE8fHxqFChAmbPnu3SaxTFpK22evDgAWbNmoXg4GB8+umn6NevH+7cuYM5c+agXLly+O2337BgwQKXjnOrWLEiWrdujZkzZ2Lw4MG4desWNm/ejCZNmqB9+5w3S548eeLwuERiG2uQmVuw+fvvv6NLly74/fffIUmSzef08PCwO6hxdB6hzBiGwfTp0xETEwNLgV3Cc/roo4/w0ksv4cqVK7hz5w5+/fVXzJ07V96uUqkK/J/OcZxTgRAhhOSFAiEHcBwHWEr3XDZmj/LwiBqGa9XeRuir7+C9fv2cvvNoC5ZlHfoyJkXj9u3b2LlzJ7Zt24bvvvsOu3fvBsdxiIiIwKFDh7Bu3TqsWLEClStXxo4dO1xyzZLQInT9+nX07t0btWrVwp07d7Bz504cPnwYvXr1gkqlAgBs374dnTt3xqZNm9C4cWMkJCS47Prr1q3DgQMHcPLkSXAch27duuHIkSOIiorKse/ff/9daN0UyTP5/T7OmDEDx48fx5AhQ/D222/bfE5PT0+YTCa7yuGKFiHg2XgbtVqd69xVBWnSpAn27NmDn3/+GTt27MDMmTOzbBcEAaIool69eggPD0ft2rUREhKCgIAAlC9fHv7+/jCZTA6lwm7cuDHu37+fJbMiIYRkVjJuo7ohDrbfyXuemVTe8HxjBA6l3kfgi20R6mGEl4cWaek6SAAMZgsMIiBaAAsYiABEiYVZYmBilGAggpEkhJVRYtumDfDz88v3egzDFMn7Io75z3/+g19//RXNmzeHUqlE5cqV0bZtWwDPfnbR0dFo06YNli5dit69eyMkJAQxMTGoV6+ew9fMPkbImtkq8+BzURShUqlsSi1tj7t372LGjBnYtm0bRo0ahWXLluV6DZPJhAEDBmDx4sUYMGAAQkND8cMPP2DQoEEuKYefnx86dOiAMWPGYP/+/fnu+8MPP6BBgwYuuS7JnTUQyu3/lcViwZAhQ/JMHpAXLy8vu1vDXRUIsSyLqVOnYtq0aRg9erRT5/L09MzSSiUIAkwmE4YNGyYnW/Dy8oK/v7+csCE6OtqhQIjjOHTo0AE7d+7EsGHDnCo3IeT5ZHMgxDAMB+AkgLuSJHVgGGY9gEgAJjwb5z9IkqQct6sYhukLYNK/L2dJkrTu3/UNAawFoAbwM4ARkj39BIoZS/XxLMyeFaBtMxr3IeGBZIGFyX/wOgtAlen1P8ZU1GoahZmjP8C7776b5zgSi8Xi8jlZiOtY0+Xeu3cPRqMRiYmJ8iB+K6VSibFjx6J///6YNm0amjRpgubNm2PDhoID4byuyXEc4uPjMXToUPz0009yBSrz8ujRI9y9exdqtRo+Pj5ZKqlPnz6F0WiUM25ZM3llf67ValG+fHkkJiZi3rx5WLNmDQYOHIhr167lW/bY2FgolUoMGDAAANC2bVts3rzZZYEQAKxevRoVK1bEwYMH0bx58zz3CwwMxKRJk6DX6zF+/Pgs2bmIa3Acl+dNG5PJ5FDSAQ8PD5jNZkiSZPMNIYVC4bL/l71798a4ceOwdetWvPXWWw6fR6vVZgnOeJ4Hy7Lo1atXngk8BEGATqfLdVtBoqOj8fnnn1MgRAjJlT39SUYAuJzp9XoANQHUxbNgZkD2AxiG8QMwFUBjAC8CmMowjLVz+nIAHwAI/Xdpk/34koyjQChXEpgCg6DcmJWe0Haeipl7HyC4fjPcu3cv9/3+TSNLSqZPP/0UP//8Mz777DOsXLkSkZGRec5M7+vriyVLluDcuXNjuVgnAAAgAElEQVRQKpWoUqUKhgwZUuDA6ez++usvfPTRR6hRowbq16+PtLQ06HQ6pKamIjk5GY8fP8bDhw/x0ksvoU6dOvDz88Nnn30mH3/jxg34+Pigdu3aqFu3LiIiIhAZGYnGjRvLQVqrVq3w6quvIjg4GK+++irKlSuHkydP4sKFC5g/f36BAdyPP/6IyMhI+fWLL77o8u46Hh4e6N69O8aOHZvvfuPGjcPdu3dRuXJlNG/eHF27dsWJEydcWpbSLr8WIUfnveJ5HgzD2PX34cpASKVSYezYsXa3ZGVnTZqQGc/zSElJyfMYR5MlAMDrr7+O48ePl7rJxwkhtrEpEGIYJghAewCrreskSfpZ+heetQjlluD/DQC/SpL0RJKkJAC/AmjDMEwFAF6SJB399/hvAHR28r0UKY5xm8Yrt2EBC65KQ3hEf4K60QNQJ7IppkyZkuULkOM4l3dvIq4TFBSEVq1aoWnTpoiMjERoaGiBd7+rVauGH3/8Ebt378bhw4dRoUIFfPHFFzZfMzU1FVOnTsX9+/cxbdo0eUxOdkePHkVSUhI2b96MlStXYuHChZg3bx5mz56N6tWr49GjR3j48CESEhJw79493L17F/Hx8bhz5w5u376NuLg4HDx4EA0bNkT9+vVx4sQJ9OjRA/Hx8dDpdLh+/Tru3r0Li8WC+Ph4dOnSBdWqVUO3bt2wceNGuTUIAJo1a4b79+/b/B5ttWzZMly5cgV79+7Nd7+yZcti6tSpiIuLQ8uWLdG1a1e8+uqr+OWXX+wawE9yZw2EcvsseZ63e6yPFcdxdt0IUiqVLs2y+eGHH+LOnTs4evSow+fILemDQqHIN1BxJhDSarVo3rw5YmNjHTqeEPJ8s7VFaDGA8QByjFJnGEYBoA+A3P7LBAL4J9Pr+H/XBf77PPv6HBiG+YBhmJMMw5x89OiRjcUtfArqG1doTKwKnq99hPTXPsH6B/4IbNEdNRs0kb+EifuwJ5HByy+/jDNnzmDp0qWYOnUqqlevjsOHDxd4HMMwqFKlCry8vGy6zmuvvYa33noLCQkJSEpKQvny5bNkscpPw4YNsWDBAvz111+4e/cuDAYDQkJC4OPjg0aNGiEsLAxKpRIhISF4+vQppkyZAk9PT8ycOTNL2uPy5cvDYDC4PPGHIAjo2bMnxo4da1NAo9VqMXz4cNy4cQN9+/bF6NGj0bBhQ2zdupWSkjiBZVlIkoS///4bJ0+exPbt2/Hdd99h3bp1uHHjhsOtNPZmgRMEwaGxNXnx8fHBwIEDMWLECIfPkVvSB6VSmW+LkFKpdLhrHEDZ4wgheStwjBDDMB0APJQk6RTDMK1y2eULAAckSTqY2+G5rJPyWZ9zpSR9CeBLAIiMjCwxtyp59tngKFK4RL9geLYeBD2A3zIeY9Oi78E8eFzcxSI2sjejG8uy6NGjBzp16oT58+cjKioKDRs2xObNmxEQEOCSa/j6+toc+OTHx8cHx44dkytw1kAsJSVFntwSAPr27ZvjWI1GA5VKhcTERPj7+ztdlsyWLFmC8uXLY8+ePTnGZ+VFoVDg3XffRe/evbFr1y7Mnj0bkyZNwqhRo9C3b1+Xz/30vLMGK19++SXWrl2LtLQ0VKtWDTzPw8fHB+Hh4Q6d15EWIVePqRw7dixCQ0MRFxeH4OBgu4/38fHJ0b1PpVIhOTk5z2OcDYSsEwybTCaHuiUSQp5ftiRLaAYgmmGYdgAEAF4Mw3wrSVJvhmGmAigHIK8Rv/EAWmV6HQRg37/rg7Ktz31QSAml4BgKhIqYUV0Gnk3ehsC57g4nKVyOprbWaDSYPn06BgwYgNGjR6N69ep45513sGLFihxzBkmSlCVrXFHL3hJla8uUxWIplPmPlEol+vXrhzFjxuCNN96wK9Miy7KIjo5Gx44dsX//fixcuBDTp0/HiBEjMGTIEJvfW2mXmJiIqVOn4j//+Q/q1q2LkSNHon///k6fl2VZu7rVqVQqlwdCQUFBePPNNzF48GD8/PPPMJlMSE1NRUpKCjIyMuTFYDBAp9NBr9cjLS0NPM/DYDDAaDRCFEV8+umnsFgsMJlMSEhIwKJFi/DHH39AFEWYzWZ5sVgsuHbtGlasWAFfX1+IogiLxQKz2Sw/lyQJZrMZv/32G7y9vZGRkYG0tDSkp6dDp9NBp9MhKSkJv/76K9q1a+fSz4MQ4t4K/BaWJGkigIkA8G+L0Nh/g6ABeDYG6FVJkvLqQ7EHwJxMCRKiAEyUJOkJwzCpDMO8BOA4gHcB/J9zb6Vo8dQ1rtgYJZr+yl04O8dPpUqVsGXLFhw/fhyDBg1CQEAApk6dmiUDlMViKdZAKDtJkrJkm7NW9qyVNaPRCLPZDJPJlGeWLGctWLAA69atw44dO9C5s/3DLxmGQatWrdCqVSucP38es2fPRmRkJPbs2eNQK0Bpk5iYiKpVqwJ41oqTkJCAR48ewWQyyT976/O8Xmd+zLzPsmXLULly5Vz3NxqNcvp4o9GIn3/+GampqfJr67bMS+agw7qfNeV85m2ZAxOj0Qie5+V016IoQq1Wy+us65VKJRISEmCxWBASEiKvj4iIwKZNm8CyLHieR9OmTaHX63Hy5EmwLAuO4+TzsCwLHx8fPH78GMuWLQPLsmAYRs7Ml3k81r1799CmTRv4+vrC29tbXnx8fLB582bs37+fAiFCSBbO3I5cAeA2gKP/3nH8XpKkGQzDRAIYLEnSgH8DnpkArCmJZkiS9OTf50Pwv/TZu/9d3AZPaeOKDc0lVLJZK0oGgwEpKSm4ePEidu/eDZ1Oh/T0dKSnp8t3jRMSEmA0GsEwjHwXWa/Xy3eODQaDXAHjOA4jRozAzJkzsXjxYnz11Vdo1aoVJEkq9glVBw4ciNWrV4NhGHlsDsMw8mLt0mTN/GWtAKampuLu3buIiYlBhQoVcPv2bTx48ACfffYZfH198c8//+DMmTMAgHLlyqFWrVrw9vYusDw8z+Ojjz7CmDFj0LFjR6cCxbp162Ljxo1YtmwZIiIi4OfnJ7+v7O8TABISElCxYsUs6/NbrBVbAPLzzOfO/Jid9bPO/Jh9bJQkSbh48SLCwsLkFjhroJr5ubVlwXp8UlISfHx85O3ZA1xroJA5YMg88We3bt0AAKGhoZg0aRJmzZqVayU+v+XJkycoW7as/HtTtmxZOT289XfI+mgNHhQKBXieh1KphEqlgl6vh0qlgpeXF5RKJRQKBVQqlbyd53kIggCe56HRaDBw4ECMGjUKzZs3h0qlgkqlgkajgVqthoeHB9RqNQRBgCAIciIUhUKBxMTEXAP7P//8E23btsWVK1fs+8XLZPfu3RgyZAjOnTvn8DnKlCmDoUOHYv78+Q6fgxDy/LErEJIkaR+edW2DJEm5HitJ0klkSqUtSdIaAGvy2M+xjtIlgIKjVoniQo1xzktJScG6devkrisGg0EOPqxLRkYG9Hq9/DpzcJLbo3URRVGuZFksFuj1euzevVuugGVejhw5AoVCgfbt20OtVkOtVsPX1xeCIECtVsv7KZVKLFq0CImJibh9+zY+/fRTtG/fHhERETAajcXeInT58mWMHz8eM2fOlCunmXl7e+PSpUuoVq2avC4iIgIhISEQRRG1atWCXq+XK7yhoaHw8/NDfHw8ypcvDwDQ6XRITk5G06ZNsXr16iznys20adOwYsUKbNq0CT179nT6PQ4dOhTdu3dHenp6roGHteUrPDwcP/zwgxxoZA4iclsyByTZX2d+zEv2YCn7Zz9u3Dj4+/tj6dKlUKlUOYIu6/PsQZjRaJT3t27LHMiwLCvPV5W5BaRLly4IDQ1FVFQUAGDLli2OfuQQBAGnTp1yOFPmJ598gmPHjuHrr7+2+ZjZs2ejbt266NChg83HcBwHvV6fayAUGRkJnU7n8Jgi4FmChdTUVOzatQuiKEKSJERFRcFisWDXrl0wmUxyd7nHjx8jKSkpS7c4azr9M2fO4Pbt26hSpYpD5SCEPH9c30G9lFBSIETc2LFjxzBixAiMHTsWgiBAq9XCz88PKpVKDlisgYhCoZADm8yBSfZH62KtzFssFnh5eeHKlSuoXr16ruUYO3YsLly4gO+//77AMu/ZswdKpRJqtRqTJ0/GgAEDMH78eFy8eBGpqamu/ojsYjAYUL58+TxThavVarz77rtYtWoVateuDQA4e/YsTpw4gbJly+aoIG7evBnJycno2bMnPDw85PVPnjxB165d8fbbb+PkyZP5lollWXz88ccYP348unXr5pJB4gUldjCbzWAYBjVr1nT6Wq6wbds2nD59GidPniyyMtWoUQM3btxwybmsAYajPDw87E4y4OHhgcTERLuOyS+bHcuy8Pf3x7lz5xwOhDw8PCCKIoYNGwaGYRAXF4cffvgBHMehR48eqFmzphyoCoIAHx8f+caKVquFr68vPDw8cOHCBezfvx/vvvuuQ+UghDx/KBByEI0RKj700TvPZDKhTZs2WLBgQaFdY9++fVCpVPm2XJjNZpsTBljHR+zcuTNL16qUlBS8//77iI2Nxddff11o427yYzab8w00rl27hr59+6JRo0bo3r07xowZg/DwcDRq1CjX/bt3757rej8/P6xfv97mCuWYMWPw2WefYd26dVnmMSosJanbanx8PPr3748vvviiSAOzKlWq4MiRIy45F8/zTmVL8/DwsDt9tre3N+ydqqKgeX60Wq3dwVVmgiCAZVnExcUBAMLCwjBp0iSwLIugoCBcvny5gDM8ExISgl9++YUCIUKIjAIhB/HUIlRsFDQ+y2n2BCCO2r17N1544YV8K8f2lGPp0qU4f/683H0qc8ao4OBgTJkyBRUrVsSwYcMwffr0Ih03ZDQaoVar89zu5eWF7du348aNG+jfvz9eeuklVK9eHVOmTEHnzp3tKuv69evl7nK2mDZtGiZMmIBevXrlW0ZXKQkTshqNRjRt2hTdu3cv8kpvzZo18fDhQ5ecy5mJRIFnv3f2Hu/r64snT54UvGMmHMflG3BpNBqnWm1VKhVMJhO+/fZbiKKIqKgonDt3DpIkoX79+liwYAF4nseHH36Yb6r3tm3bYtKkSRBFsdi70xJCSgYKhBzEUbNEsQnwLvzK3POuKAKhU6dO5dniYWWxWGxuRahTpw7q1KmT5/b9+/cjNjYWH374IdasWYMlS5bgrbfesqvMjjKZTDbNtVOtWjXs27cPer0ekydPxuDBgzFixAhMmTIFffr0KfAcs2fPxty5c7Fx40aby/bBBx9g7ty5+L//+z+MHz/e5uMcUVJahBo0aIDAwEB8/vnnRX7thg0b4tGjR05nTAQKDjAK4uHhYXcg5OPjg6+++gply5bFzJkzbTrGmho7L2q1Ot8JUwuiUqkgiiJmzJghZ5Wzjs26ePEirly5gj///BPz589H1apVIYpijox41kx4BoMBO3fudCibIiHk+UOBkIPs/bpnJQtYiGAlCywMCzOjkNdzkhmsxQhGNAImPSwGHURDOkwZ6TDpUmFITwFjNkDJShA4QK1goFFwuJMiQtOst+vfXAkX/yS9uIvg9ooiEIqPj8f777+f7z6iKLqsHAzDoG3btrh+/TpWrlyJ/v37Y8aMGdiwYYPDE1jaymQy5Tk+KDeCIGDhwoWYP38+Fi9ejHHjxmHXrl3YsWNHjn3NZjOioqJw9uxZqNVqbN++Ha+//rpd5VuyZAl69+6NDz74wOGB97YoCYHQmDFjcPHiRWzbtq1YJs8MCAiARqPBgQMH0KpVK6fOxfO8U4GQj4+P3YHQhx9+iAMHDmD79u02B0IFjWVSKBROzWckCII8n1BefvrpJ5w7dw4cx0GlUkEQhByPgiBg7dq1OH36NAVChBAAFAg57J32rfHNji3Qmy1gAAgKDioFB5WCh1rJQ61SPHtUKqARVBCE/w00NxqNuHPvARQcBx9vD3h6emZaAuDhkX2dZ65f6C926A3XdMBwL+k+1XDu3DnUq1evuIvitlwZgOTlyZMnBQYghdFFxZo6umfPnpg2bRpefPFFtGrVChs2bCi0IEAURZtahLJjWRajR49GUlISDh06lOs+q1atwpUrV/Dzzz8jMjLSoc8rOjoalSpVwty5cws1fXBxB0LWIBhAsXZ9atSoEb7//nunAyFnkyV4e3vDaDTadcyOHTtw48YNBAYG2nwMy7L5Xkej0SAtLc2ucmQmCAJEUZRfp6Sk4OjRo6hTpw6Cgp7Nzd6+fXu0b9++wHNJkoSJEydixowZDpeHEPL8oEDIQX379ELfPr2KtQwqRens48xXb4ohE2biwM6N1M/bQdZ5eQqLxWLB06dP88wWl7kchTWWx9fXF0uWLMHQoUMxfPhwVK5cGf369cOiRYtcfk2j0QitVuvw8QaDIc8WpcaNG+Pp06eoWbOmUz+zNWvW4JVXXsGIESNQsWJFh89jC1d0C7NXSkoKmjZtinfffRc///yznIa7OLz++uuIiYlx+jzOtgh5e3vb3RLTr18//Pbbb1kCj4LklzUOeNZFz5kxQoIgwGw2Y8SIETCZTPjmm29gMBjg4eGBNm3awGQyZekOZ504NvNks9aucSaTCQkJCfjnn39QqVIlh8tECHk+UCDkxlR86UzYIIHBw9COGPDRCKxatrjQWzaeR/lVvF3hzJkz0Gg0WVI/5yY9PR2+vr6FVg7g2YSWu3fvxr59+zB48GBUqFAB8+bNQ79+/Vx2DVEUoVKpHD4+v59HgwYNUKtWLbRr1w4rV65EWFiYQz+7xo0bo169epgyZQpWr17tcFltURyB0Kuvvop69ephyZIliI2NhclkKtLrZxYVFYXp06c7/Tk4myxBq9XCbDbbtO+JEyewZcsW6PV6nD17FmFhYTZfp6CAzcPDw6kxQtZxQZcuXYKnpyfeeOMNdOrUCXv37gXDMPDy8pLnceJ5Xk79b03pnz3F/8iRI3Hw4EGXzK9FCHFvVIN0Y4Ki9P74TOoyOMS8hKbt38aaz6YX+hiQ501B6Z6ddfjwYZsmLbROWlkUWrVqhYsXL+Kbb77BmDFjMH/+fKxbtw6NGzd2+tzOBkIXL15ErVq18tx+5MgRREVF4eWXX0Zqaip8fHywZcsWtG7d2q7rxMTEICIiAv/5z38QEhLicHnzY51DqijNmDEDt27dwtWrV6FQKMAwjF0tGq4WHh4ODw8PbNq0CT169HD4PAUlISiIUqm0+Wcxbdo07N+/H6+88gratm2LcePG2XwdDw8PJCQk5Lnd09MT9+/ft/l8uVEoFPjqq69QuXJleZ2jGQEPHTqEx48fO1UeQsjzofTWpJ8DgrJ0//hMgi8evdAPb0xcjQ5VWcydPgl+fn7FXSyCZ5OF1qhRo8D9dDodLly4UAQleobjOPTr1w/dunXDnDlz0Lp1azRq1AibN28ucLLQ/JhMJqfmLzpz5gwmT56c53alUol9+/YBAHr06IGNGzciPd3+pCFnzpwBz/OYPHky1q9f72hxS5QzZ85g/vz52L17t/z374qKtz3MZjP0ej2MRqP8vFWrVliwYAHq1q0Li8UCi8UCs9kMSZLkrlqZ11mfW9eLoiiPhQkPD4ckSfJ+1kfr8+zrrY/p6ekwm82YPn06jEYjjEYjDAaD/GgymeRuZLGxsQgJCYFOp8PTp08xZswYmM3mLKnqrUvm16Io4vHjxxg5ciRmzJghX5/jODkofvLkCXieR/ny5XMtc17PrWnp09PToVAonGpVyozjOJtbygghz7fSXZN2c4KSxsdIYKCo8zr+kIyo22kQVk3sh3bt2hV3sUq8wp5H49q1a3jllVcK3O/DDz/EoEGDULlyZUyfPt2l3dXy4+HhgTlz5mDIkCEYPXo0QkJC0LNnT3zxxRcOdbUURdHhQOjMmTNISkpC06ZNbdo/NjYWf/75Z56pyfft24fY2FiwLIsGDRqgXbt2ctkmTJiA1NRUfP/997h27Zpd3Z9KEovFgs6dO+PevXv4+++/MXLkSLRo0ULe/vrrr+PHH3/E6NGjHb5GREQELl++DJVKlSPIyB5wAM+6b7EsC4ZhwHGcnFK9adOmWSYAtnaVs+5rfcx+DoZhcO/ePaxatQqbN28GAHl9bs8zr7O+ts7p9Msvv+ToHqZUKqFQKODl5QWlUomhQ4dCpVJBoVDI2xQKBXiez3WxblMoFFixYoXc2srzvJzkQRRFKJVKDB48GJUrV8asWbPk7db015nTYVvXWR+Tk5MRHByM3r17IzU1FfPmzUONGjVgMplyBHJGoxGpqam4dOkSGIaBUqnM8llm/qxv3bpFWeMIIQAoEHJrGmXRp4YtqUyMEopm72HQ6gNYkJKKHu+8XdxFKtEKu2vcw4cPUa1atQL369KlC9q3b4/Vq1dj3LhxmDZtGmbPno3evYsmLXylSpWwZcsWHD16VB4/NHXqVAwdOtSu8zjTNa527dooU6YM1qxZg0GDBhW4vyAI2LdvX45AyGAw4N1338VPP/0kb4uJicFHH32EYcOGYfny5UhKSkKzZs1w7NgxfPLJJ9iyZYtDZS5IYXeNGzt2LE6cOIGPP/4Y3t7e6NOnT5btYWFh2LNnj1PXePToEZYvX4433ngjRyU9tyU7i8WCMmXKYOvWrXj11VcdKsOoUaNw7do1/PTTTw6/D6VSidjYWHh6ejp8joLExcXh0aNHeWbJCwsLQ1BQECIjI+06r6enJwYPHgydTgfgWRfR27dvZwnErOOCrMFdVFSU/L8ncyuWNXAVRRG7d+92qgWYEPL8oEDIjQkqCoSy48KaY8zXO9CwwQsl9m73zZs38dJLL2H8+PFo1qwZqlWrBj8/vyJN+lDY8wglJyfbFAgBzypqH374Id5//32sWrUKw4cPx+TJkzF//nx079690MqYWZMmTfDXX39h48aNGDlyJBYtWoSvvvrK5vTHzrQIKZVKNG/eHKdPn7Zp//Xr16Nr165Yu3Yt6tevD7VajZCQEAQGBmLz5s04deoUGjRoIO8/a9YsbNiwARMnTsQHH3yA5ORkVKhQAbt27cLFixfznaTWEYU9RujOnTv48ssvERsbi5dffjnXfdRqtdPJEpRKJQICAuT0zPZiWRZvvvkmFi1a5HAgpNVqncoaB/wvkUFhBkIqlSrfrmYVK1bEP//8Y/d5OY7D8uXLAQAHDhzAggULXDJJcmpqaqEmiyGEuA8KhNyYWqkApOIuRckjvNAR/5n9Kbau+7K4i5KrgIAAPHr0CCdOnMCmTZtw8+ZNJCcng+d5aDQaeHl5oUyZMqhQoQIqV66MatWqITQ0FGFhYahWrZpLvsBFUSzUrF4pKSl2D8YXBAHDhg3DgAEDsHLlSgwaNAgTJkzA0qVL0aFDh0Iq6f+wLIuePXuiS5cuWLhwIdq3b4+IiAhs3LgxywDt3FgsFqfGCJnNZpt/rq1bt8bdu3fx+eef48KFC0hLS8MPP/yAhIQEtGrVKksQBACTJk3CpEmT5NcLFy6ESqVCvXr1MGbMGDklcYcOHVz2O1FYgVBcXBxeeeUV9OjRI88gCCi4Ym4LZzO2AUDXrl0xYMAAh4/XaDROJUsAXPM+ClLQ5x0REYH9+/c7dQ1BEApMwX3gwAGkpKTI3e0yP/I8D4ZhwPM8EhISCvybJoSUDhQIuTGNoAIyJADFP5t7SWIBiwN39MjIyIBarS7u4uSg0WjQuHFjDBgwAK+//jqAZ335DQYD0tPTkZqaisTERNy/fx+3b9/GjRs3sHfvXly7dk2e+8IaGNWoUQPh4eGoWrUqAgMDba7IGo3GQusad+/ePZjNZgQEBDh0vFqtxsiRI/HBBx9g1KhR+Oijj4okEMp8/SlTpmDgwIEYP348atWqhc6dO+Orr77KddJUURQhSZJTLWxGo9GuAFej0diV1SuzZcuWoVGjRqhbty6WL1+O48ePg+M4REREYMOGDShfvrxD57UqjBahy5cvY+DAgTh9+jS6dOmCRYsW5bu/Uql0OmucsxnbgGdBa1JSEq5fv47Q0FC7j1er1U6XgeM4p1uVClLQ592wYUPEx8c7dQ1BEPKdlPXhw4do2bIlACAwMDDHmK7Mr588eWJ391dCyPOJAiE3JggqcDoLRIaSJmTnVbUuLl26hIYNGxZ3UXK4evUqbt68meWONsMwEAQBgiCgTJkyqFq1aq7HGo1GxMXF4erVq7h69SpOnTqFmJgY3Lp1C8nJyQgNDUWNGjVQo0YNhIWFITQ0FKGhoShTpkyW8+h0ukLrKnPo0CEEBgbKA7YdpdFo0LlzZ6fHejiqQoUKiImJwejRozFkyBBUqFAB48ePx8SJE7PsZ50U1pnWFJPJVGRddZYtW4aVK1fi7NmzCA8PR/ny5bFjxw5ERUUhMjISV65ccWpyWFcGQgcOHMC4ceNw/vx59OrVC+vXr7cpLbtKpSoRgZAgCGjZsiU+++wzrFixwqHjne3iVxJahBo0aACTyYT4+HiHuxqqVCpMmDABs2bNyjLuR6fTyWN/rPbt25fvZM6zZ8+Wxx0RQko3CoTcmEKhAEN943LF+1bE33//XSIDoTlz5mDYsGEOtVYplUo50MkuLS1NDpCuXr2K3bt3Y+nSpbh+/TpYlkWNGjVQu3Zt1KxZE3///Tfq16/vireTw8mTJ/OthNijqOejyc0LL7yAo0ePYseOHRg6dCiWL1+OL774Qm6lMplMTmfgM5lMRTafUv/+/dG/f38Az7owBgYG4ty5czh06BAqV66MHTt2OD3RpLPd0lavXo25c+ciISEBAwYMwLZt2+yqQNszf05eXBVAvPXWW1iwYIFDx6rVaqc/S2sGt8JUUFDBsiwCAgJw8OBBh+dV0mq1aNOmDSZOnCgnS1AoFGjWrBkmTpyI6OhoJCYmIjg4uMBWTY7jinWeKUJIyUGBkBtz9o7788yo9ML16+eKuxg53Lt3Dzt37kRcXJzLz+3h4YGGDbNOv7UAACAASURBVBvmCP4kSUJiYiKuXLmCS5cu4cqVK9i1axciIiJcXgbg2eSgtWvXLpRzFxeGYdC5c2e0a9cOS5cuRY8ePRAWFoaNGzeiXLlyTo+tKewsfnnx8vJCly5dMGbMGBw+fBjvvPMOZs2ahbffftvh4M7ZFqEHDx5g4MCBWLx4MQYMGOBQ61RJaRECgHbt2mHYsGHQ6/W5dq3MjyAILhnrVNhd4x49elTgHG516tTB3r17HQ6ENBpNrpnnAgICoNVqUb16dZtvwFAgRAixKrzR0oQUIwtYPEnJf2Btcdi4cSO6dOkCb2/vIrsmwzAoV64cmjdvjkGDBmHRokWIjIyU5xhxtXv37rm0RagkBfxKpRJjx45FXFwcIiMjERERgW7dujnd+mCdb6U4rFixAhcuXMAff/yBOXPmIC0tDX5+fk6lbHaGdZ6aESNGONxFr6SMEQKeZUyrVKkSVq9ebfexrsh+VxQtQiqVqsBy9unTx6nfKbVanWvLU0Fjh3JDE6oSQqwoEHJjzyqI1DUuL55q++6+FoVff/0VHTt2LO5iQKPRFJiByVHW7imuUNICIauyZcti5cqVOHnyJNLT050OYgp7gtv8aDQa9OrVC2PHjgXHcdi1axdMJhP27t3r0PkUCoVTv1teXl5yAgpHuaJFSKlUuiyA6Nq1K7777ju7jxMEwSUBXXGPEQKAN998E0+ePMGDBw8cuoZarc61ZUutVjsUCFGLECEEoK5xbk0QBLCSCDA0n1B2rCRCoyl5GeMsFkuhpq22FcuyhVYRePjwITp27IgyZcrA29sbfn5+qFKlCsLDwxEZGYmmTZsW2I3GqrDTfDurdu3a2LBhA+rVq+fUeYqzRQgAFi9eDH9/f/z66684duwYPDw8MHr0aIfOxfM80tPTHS6L9XNwprugKwIhlUrlsi5l0dHR+PJL+9P5u2KMUEkJhHieh7+/P44dO4bOnTvbfQ21Wo1Hjx7luj6/MUppaWk4fPgwjh49iitXruDRo0eIi4tz+fxZhBD3RIGQG1Or1WAtZmrXywUvmQt1AkFHRUVFoV+/fqhUqRLMZjPMZjNEUZQfMy8sy0KhUMiBgHXsRUZGBurWrevwHXvgWSBUGIkIjEYjRFFEQkIC7t69i5s3b8pZ7v744w+sWrUKDx8+hFqtRkBAAOrVq4fo6Gj07Nkz1/TTJbVFKDNr1jhniKJYLGOErJRKJfr164fRo0fj1KlTiI2NRfPmzXH58mU5MDl16hQuXLiAwMBAtG7dGizL4uLFi5g0aRI4joNWq4VWq0VKSgrWrFmDxYsXO1wejuOcSvHuikBIEASXBUIvvvgijEYjjh49iiZNmthVBmffB8uyTnevK4ggCEhOTsZ3330Ho9EIg8EAo9EoL9bXqamp+Pjjj/H777/DZDLBYDDAZDJl+T9ofZ35/6Moijh//jxMJhMaNGgAURTlrHF37tzBn3/+iTVr1sjns1gs8j4Mw8Df318eQ/Tiiy+iRYsW+Pzzz5GamloivycIIUWHAiE3JggCYKF+zrlhJNHugclF4b333sPYsWPx8ccfo2zZslCpVHkuoigiNTVV/kKXJAkKhQLHjx93qpIJPKsoumL8Q3bHjh2Dj48P/P394e/vjxdeeCHHPqIo4ubNmzh06BD279+PSZMmYfDgwahQoQLq16+Pt99+G2+++SZ4nocoirkGQmazGWlpaTAajUhOTkbZsmXlSpR1vhDrYv38Mleesu+T35LfvjzP48yZM0hPT8+SVtt6nNlsxs2bN1G1atUclXprBVeSJNy9exexsbEoW7asnArYOveJdR9rOTK/zrwEBQUhKirK4Z/dwoULERAQgF27dskp0H/55Rd06NABe/fuRceOHVGpUiUkJiZCo9EgPDwce/fuRVRUFPz8/JCeno579+6BYRgsWbIER48exfHjxx0qC8dxMBgMDo8RsrZQnD59Wv48s99syPw6t22XL1/GxYsXUatWrVz3z75kr8Bnr5CnpaUhKioKlSpVyvJzA5Dj52x9np6ejv9n77zDorjaNn7PltnK0rGAIFbEHkXFFhV9Y4slRo09msS8Jka/KLaoMWhi7BqxRI3RRCxRY4ma2GLsClhQISgKKhaQJh22zvcHmXl3YfusLMT5Xddcuztz5syZ2Vk49zytsLAQ9erVM9im39bYOv0+i4uLX3k8jEgkQlFREebPnw8+nw+hUMjEetHZ3QQCAby8vPD8+XOkpqZCKBSCJEkIhcIy74Z/ip6SJMnsR78XCATIzMxEVlYWJkyYwKyjlx07duDx48c4fvw45HI50y/9IMnYg4qkpCR89913BsWGOTg4Xj84IVSNkUgkgDbH2cOokhDqEri5uTl7GBXw9PREt27dEBAQgOHDh9vVh0gkQmRkJKtxOPJptz6xsbEmayDR8Pl8pr7R+PHjAQBPnz7F+fPncfLkSUybNg1jxoyBTCaDRqMBRVGQy+UGE1WdTsdUjKdr8NCfaeFEEASzmFpf/rO1behFp9OhoKAAGo0G169fNzhPegL2+PFjnD59GiqVCmFhYQDKJqn0mAiCgL+/P+Li4hAfH29wPPo9jf56/c85OTl4+fIlq+9UIBBgypQpCA8Px+DBg+Hv74/du3fjxo0bWLZsGaZNm4aFCxdCp9NhzZo1SEpKQmxsbAUXI29vb+zbtw89e/ZkfoO0GNEXFO7u7sx7WuRpNBpGZLKJmRKJRNDpdOjdu7fBdaK/E/17wtgrj8djhMTGjRvB4/HA5/OZ7Xw+v8IiEAiYV3oiT7cVCoVo3Lgx7t27h9mzZ4MgCKa/8ov+fZGcnIx58+ZhzZo1BuvLn4ux/enJ/+jRo22OobEVkiTh7u6OBw8emG2XlZUFX19fHDx40GYrqkajwcmTJ40WQi0qKsKGDRss/u3RJyIiAh06dMCkSZMq1Fnj4OB4feCEUDWGJElAxwV8GkWjglwud/YojBIeHo6IiAi7hZAjeFXJEuLj41G/fn2b9/Pz88PIkSOZ+jUvX75EWloaCIIwai0TCoWMIJDL5bh+/brR2kqVQVRUFCIiInDy5Emj2ymKwpEjR/Dpp58iPj4e69atw8CBAx06hj///BOjR49m3c+8efOwbt067N69G4sXL8bkyZORkJCAffv2oU+fPgDKBJ65+CH6qX56ejpevnwJiqLA5/OZgsEikQhpaWlQqVSQSqUQiUSMWKC/W4FAwMrdkLaoZmRk2N2Ho3n8+DEaN26MoUOHWl1D7MmTJ4iIiMCAAQPsPq6vr+8rS4xCY60ropeXFyQSCWJjY9G+fXubjxEXF4e+ffsauNO1bNkSp06dAkEQiI+Ph5+fn1UPwRo0aIAhQ4Zg2bJlWLp0qU1j4eDg+PfACaFqjE6nA6p4/ISz0KlKqqwQCgoKQlpamt37OyLtdWlpqV0FXS2RnJyM7t27s+7H3d0d7u7uVrV1dgIKpVJpNpaFIAgMGDAAvXv3xvr16zFmzBjUr18fe/bscZh4UyqVSE9Px5EjR4y6zdEWF61WCy8vL4SFhSEnJ6fCk3Aej4f58+dj2rRpePz4MRITE20eC123xsvLC15eXkbbNGzY0K7ztBZHxAg5moCAAHh6euLMmTPo16+fVfs4IkZIIpG8ciFkyzjr1q2LmJgYm4WQWCwGQRAICgoCSZIgSRI//vgj0tPT0bBhQ7Rv3x7NmzdHs2bNcOfOHav6/PLLL9GiRQtMnToVtWvXtmk8HBwc/w44IVSN4YSQabSlhVAoFM4ehlFWrlxpV9YkGkckD1AqlUZjqFQqFdLS0hg3pfJBzAqFwuzkPTMz0y6LEBu0Wq1TA54tCSEakiTx+eefY+zYsZg/fz7eeOMN9OzZEzt27GB9ryoUCri4uGDKlCkVXOr0X3k8HrKyspjXt956C5s3b4a/vz/T12effYaVK1di7dq1mDlzps1j4fF4Tq/RQrvVqVQqp2bjK0/r1q1x6NAhq4WQI7LGyWSyV+4aZ4vwrFmzJh49emTXMQIDA7Fq1Spm3blz59C9e3d89dVXSExMxIIFC5CdnW11n76+vhg/fjy+/vprbNiwweYxcXBwVH+4fGPVmLLAaU4IGUNdXFCpRUutQaVSYebMmTh58iQiIiJMtrtz5w769esHhUIBDw8PDBkyBPv378ft27dx6dIlrF69mnU6XDrQX/+zSqVCmzZtULduXTRt2hStW7dGu3bt0KlTJ3Tr1g3dunVDUFAQDh48aLLf3Nxcm/z0HYFW69zEGKWlpTZlN/P09MSGDRtw48YNFBcXo06dOpgxYwarJ/9SqRRisRgPHz5ESkoKUlJSkJycjOTkZDx48AAPHjzA/fv3ce/ePaSlpWHChAmIjY2FVqtFkyZNsHTpUoPMYuvWrcOiRYuQk2N7DCKd6MCZEAQBgUCA/Px8p46jPBMnTsShQ4estuqKxWImbspepFIpq3Tm1mBN+myaWrVq2WURN3YMsViMX375BUOGDMGnn34KAEhLS7PJkjl79mz88ssvSElJsXlMHBwc1R9OCFVjOIuQadQlBVXKNS4nJwc9e/bE33//jStXrpiso3P//n106tQJMpkMZ86cwW+//QY+n48ZM2agR48eeOedd3D58mXW51ZYWIhNmzZBKBQywd5isRjx8fGIiYlBcXExCgsLUVBQgLy8POTm5qKoqAg+Pj6YPXu2yYlZQUEB6tWrx2pstkJRlNHU25WFtRah8jRu3BinTp3Cr7/+isjISCgUCuzcudOuMajVaqvdA0mSxNKlS9G2bVucOnUKv/32GyIjIxEUFISLFy8CAPr374/AwEB88803No+Fdo1zNkKhEHl5ec4ehgH9+/eHSqXCjRs3rGovEAhAEITZOjmWkMvlr9wi5OnpicLCQqvEkLe3t01WGxpjQuiDDz5AaGgovL29GUu1u7u7Tf17eXlhypQp+Oqrr2weEwcHR/WHE0LVGK1WCxDcV2gMgng1dXLs4enTp+jcuTPat2+P3377Dd7e3ibbbt68GS1atMDevXvRtm1bdO7cGXv37sXDhw+RlZWFFy9eIDw8HD4+PqzGJBQKMXHiROTm5qKkpMQgRXdISIjJ/TIyMpCUlITc3NwK27KysqBUKivd174qCCE27lc9e/YESZJ4++23MXnyZAQHB1s9UaZhU8soLCwMqampGDhwIHr37o3Ro0cjKysLW7duxcaNG5Genm5TfwKBwOkWIaDsHn/VsTG2wuPx0Lp1a2zfvt3qfYRCoV2WORoXF5dXLoRq164NnU5nlQWuuLjYrvhEY+53w4YNw48//ojvv/8eGzZsAEEQeP78OTp37mxT359//jlOnDjBZG3k4OB4feBm0dWYsn8KnEXIKAThkKQCbHn48CG6dOmCCRMmYPny5RYnq3fu3LEYRGyvBUIfnU7HFMAkSdLsuNLT0+Hh4cEIuJUrVxq1aF2+fBk1atSo1MQFdCIAZ8aBsBVCQJmLz/Tp0/H48WP069cPnTt3Rs+ePZGVlWXV/rZYhIzB4/GwatUq3L17F0lJSahfvz7i4uIQHByMr7/+2qa+BAIBa9dNRyAUCl+5ALCHadOmYc+ePVb/fWIr6FxdXStFEAoEAquOU1hYCKlUanP/5tzvNBoNfvvtN1AUZfVvRh+FQoHPP/8ckyZNsnlfDg6O6g0nhKoxZa5x3FdoDFLq4vT4gMuXL6NTp06YOXMmwsPDrdqnSZMmuHTpktk21ky89SdZOp0OSqUSJSUlKCgoQH5+PkpKSqyeONNucQcPHsTff/9tMnXyjRs3EBgYaFWfjoK2+jkza5xKpWItTOkaMAqFAsuXL0dCQgLkcjkCAwMxadIkiy5HbIUQjZ+fH2JiYrB582bMnTsX6enp2Lp1K54+fWp1HyRJVgkhRJJklbMIAWXucWq1Grdu3bKqPUmSRi2w1uLq6srKtc4aVCoV1Gq1VbWf8vPz7YrfNJeQITExEcOGDUNQUJDJTIXGiI+PR//+/REQEIAFCxbg2rVrmDBhQpUU0BwcHK8GbhZdjSlzjeMsQsYQude0afLmaK5cuYLBgwfjhx9+sOkpY3h4OOLi4swG+woEApw/fx4+Pj7w9PSEm5sbZDIZxGIxU39Ff+Hz+ZBKpXBxcYGnpye8vb1x9uzZCmJKp9Ph2LFj2Lp1K1avXo3Fixdj1apV2Lp1K1QqFS5cuIAmTZqYHFd8fHyl1/LRarVOFUFAWbIEthYhnU5nIKYCAwNx6NAhnDhxApcuXUKtWrUQFRVlcn82rnHGGD58OJ4/f45u3bqhtLQUw4YNs3pfoVBYJWKESJJ85UkC7IHH46Fhw4Y4fPiwVe1FIhGrhzqVIYQ0Gg0IgoCfn5/FtoWF9mX0NCeEhEIhZDIZEhMTLSZOoQsCN2zYEO3atYOHhwe+++47PHv2DJmZmSAIAm+88QauXbtm8xg5ODiqH1z67GpMmUWI+wqNQbnUQEJCArp27Vq5x6UobN26FV988QW2b9+Ovn372rS/r68vJBIJ/vzzT5OiY/bs2ejcuTN4PB5EIhEkEgkkEglkMhmkUimkUik0Gg1TsNLYJL179+4V4moOHjyIUaNGoUGDBkzhS5VKBZVKBRcXF4tZzVJTU9GuXTubzpctVUEIOcIiVF4I0XTs2BFxcXGIiorCJ598ghUrViAqKgrNmjUzaEdPRB2JQCBAVFQUdu7ciUWLFlm9n1AorBIWIZFIVCWFEAC899572LZtGxYsWGCxLUmSGD58OLy9vaHT6ZhYPro2lP7nkpISHD58GPXq1WPWFxQUvHIhRLutWVPTq6CgwGzBU51Oh9LSUmZRq9UoLS1FSkoKioqKcPHiRSiVSiiVSqjVaiiVSjx79gxKpRLffPMNZDIZ1Go1Y6VSqVQoLS3FkydPEBcXh+fPn8Pb2xvTpk3DuHHjKlintm7dir1796Jv374IDw9HeHi40//GcHBwvDq4WXQ1pqokA6iKqPgSXLx+B5Xp8U1RFP7v//4Pf/31F86ePYvg4GC7+lmxYgWmTJmCgoICzJkzp8J2gUCAbt26me2DJEmzfvharbaCG8v58+ehVCrx6NEjA2sSj8eDRCLB+vXr8f3331ewONHL/fv3MWPGDLvO2V4KCwtZixC2qNVq1hYhrVZr8jx4PB7Gjh2L/v3746uvvkK7du3QtWtX7Nq1i4nVUqvVIAgChYWFTA0oU5kJbUUul9tk6ROLxVXCIkQLIZ1OhytXriA6OhoSiQSNGzdGu3btnJpV8uOPP8bcuXPx4sUL1KhRw2xbiUSCd955B3379mV+k3w+HwKBgPl90q/jxo1DWFgYKIpirC6lpaVQqVTYunUrUxNMfym/TqVSMXXD6LT6arUaarXaoB39mW4HlLlWEgTBCDQABmKNvjdjYmLw9ddfG6zXb2fMqk2L2sGDBxucP/3e398fX331Ffz9/eHl5QWBQACBQAChUAiSJFGjRg3MnTsX3bp1Q0BAgNkHB8OGDUOHDh0wevRonDhxAj///DN8fX0d8dVzcHBUMTghVI3RarWguBghk1x9kFmpx/v9999x4sQJREdHs6ph9MEHH6Bhw4bo27cvMjIysHr1ageOsgy1Wo2LFy/i4MGDyMvLQ35+PjQaDX7++Wf06NGDmfjoP1k19pmeSNGToT59+jh8rOZQKpXg8XjME3AAzMSKfm9sMbdNf7u5fuj1KpUK48aNY3UepixC+nh4eGDt2rWYMmUKPv/8cwQEBGDMmDFYu3Ytrl69iocPH8LV1RUEQUCr1SIkJARXr15l/TTbnrpAmzdvRkJCAnN/0JNcHo9ndPJbfiJs6VWj0aBu3bo4ffq0yTGQJImZM2fi66+/RmlpKerVqweVSoWsrCwUFBRg586dGDBgAKtrYy9yuRx+fn44duwYJkyYYLatRCJB69atrXJPHDt2LLZv347hw4djxYoVAIBr166hc+fOWL16tYFo0n9/69YtFBcXo2bNmmjZsiX4fD6EQiF4PB4EAgFIkoRIJIJcLq8gMOgU/BcuXMCmTZvg5ubGiBMej8dsp/fr1q0bFi5ciFGjRjHr9Lfz+XyjIuX333/HRx99hGfPnpk8f1dXV5w6dcohKfz9/f3x119/4dtvv0WbNm2wadMmDBw4kHW/HBwcVQtOCFVjuIKq5lF7N0ZSUhIaNWpUKcfbunUr5syZ45BCrl27dkVkZCTmzp1rlxCKjIzE3bt3Gdc2/UWtVuPatWuQSqVISUmBWCyGRCLBzZs3sWHDhiqRbc8StAB5+fIl4/NvbIJn7MkyQRAVPptrb8oCRi+jRo1iXdBVp9NBJBJZ1bZBgwY4cuQILl68iP/+97+oXbs2vLy88O6772Lfvn0AyhJctG3bFv369cMff/zBamy2CiE6a1xgYCBIkjSwWtCWSP3rrr9d/7P+uvLvHz9+bLYoMVAmIEJCQvDBBx9g5MiRBoLwp59+wogRI7BlyxaMGDHC4W6FNDqdDtnZ2XB1da1gNezRowf27dtnUQhJpVKrkz4sWrSoghujj48PCIIwmxra09MT/fv3x4oVK1CnTh2rjlWeJUuWoGPHjvD09DTbjk61bckSVh65XG4xaQifz4dKpbKpX0v9zZs3D2FhYRg1ahSOHz+OlStX2pX1joODo2rCCaFqTJlFiBNCphAFvoHDvx3BjPDplXK8Bw8eoGXLlg7rr06dOlZlYTLGlClT0K1bN3h7e4MkSUgkEmYyRpIk2rRpgxEjRhjEmty+fRstW7ZkfO9FIpFZK0VmZiaSk5MZf316oQWX/mc6a13jxo0xZswYpo+5c+fi3r170Gg0Jvc31jcdl6NWq+Hi4uK0J/s0jnCNs7UWUufOnXH79m3s3LkTY8eONRD8bm5uOHfuHNq0aYMPP/wQP/zwg91j4/F4NgkhHx8fDB48GGvXrrX7mJZ49uwZFi9ebLaNRCJBy5YtMXr06Arbxo0bB4FAgMmTJ2Pu3Ln4+OOP0aNHD9StWxdeXl6srGgJCQmYNm0a7ty5g7S0NIjFYqhUKigUCnh7e6N58+Z49913MXXqVLRt2xalpaVmhTRJkqxcDT08PCyKA6lUig8//NBuEQSUiQZrYsP8/PyQnJxsc/9SqdTifWiP9dIaQkNDcfPmTXz66ado27Ytdu/e7dC/9RwcHM6DE0LVGM4iZB41T4QD525ghnWZq1kjEokcmnZVLBYjOzsbTZo0MXDJ0mq16N27N9avX292//v37+PJkyeMe1JJSQlatGiBM2fOGG1ft25dAGUTDp1Oh1atWuHmzZsm+58yZQoOHTqEtm3bMqKJTs4gEokY0SUSiSASiRAfH4+ffvrJQAgtXrwY69evR61atYzuU36ht9O1jx4+fIju3bvbfnEdiEajcUiyBHvEFI/Hw5gxY/Duu+9WmOz6+vri7Nmz6NChA3x9fTFnzhwmAJ2OoUhNTYVCoTAbvC4QCGyaiEskkleeul4sFqOoqAghISFwcXHByZMnKwhJuo0pRo0ahREjRiAyMhLbtm3DypUrUVRUBI1Ggy5duuCbb75Bhw4dbBrX6NGjceDAAQwfPhzh4eF4/vw5Fi5ciL///hvJycmIjY3FmTNnMHPmTGRnZ0MsFiMqKgoffvihyT6lUimrZAdSqZRxJzQlth2R6c9aa0zjxo0RGxtrc/8uLi4WLUI8Hs+hFiF9XF1dERUVhaioKPTs2RPz5s3DlClTXpk1kYODo3LghFA1RqvVguKEkFlSSqXIzc01O9FzFD179sSePXtsrmpuipCQEPzwww9MbAXt0rV79278+eefZvc9ffo00tLSwOfzIRaLmaKMI0eOBEVRRv95KxQKxi3ut99+w8iRI/HZZ59ViA2iA6qPHDmCVatW4fPPP7fqfOLi4tC6dWu8//772L59O4CyycWIESPg7u5u28X5B9rdypmoVCqHuMaxEVN05kB96AyGeXl5WLhwIRYtWgQejwetVgt3d3eEhYVh//794PF4CA8PZwLZ6fHQ3zUtnqxFKpW+8mQJHh4e+P7771FcXIzp06fj2bNnCAgIMGgjkUgsWgd4PB6mTp2KqVOnMuuePn2K2bNno1evXvD19cU333yDIUOGWBxTZGQkjh49ivj4eCZG5Y8//oBWq4VIJEJwcDCCg4OZeLLHjx9j1qxZ+OGHH8wKIYlEwir7HR3nU1paajJBhK1i1xgikQhZWVkWa4m1bdsWO3bssLl/V1dXqNVqs21elUVIn9GjRyM0NBSjRo3CiRMnsG3bNpvd/Dg4OKoOnBCqxpSlz+aEkDncmnbB8ePH8d57773yY33++efo0KEDFi1ahC+++MKoW9vTp0/x008/ITExEU2aNMH//d//QSaTGe1PJBJh5MiRFdbn5OQgNjYWhw8fNsiaRMdRCAQC1KhRA2FhYRX2ff/995Gbm2tReHTt2hW9evVCamoqhEIhs8jlcua9p6enxXgAfVq2bIkDBw7g008/ZdZZk27XHGq12ulZ41QqldXxPabQ6XQ2u8ZZgiAIHDx4EL6+vkhNTWWuc3R0ND777DO8ePECU6dORWJiIm7evMncS8D/Js98Ph8ajQaTJ09Gq1atGKEUERFhMr27u7v7K7cIEQSBjz/+GACwYMECozE09mav8/PzQ1RUFPM7GTZsGBo2bIj169cb/U0B/4sP3Lt3r0GgvrnaNwEBAZg0aRKGDx9udjxSqZR1GnDabc2UEOLz+Th06BBIkoROp0P37t1tzjpobb2jfv36YcSIESgoKICLi4vV/VsbI/SqhRAA1K9fHxcuXEBERARat26NrVu3VnqiGA4ODsfACaFqTJlFiMMcSrEnfjl2qFKEkI+PDy5cuIBRo0bhyJEjWLx4McLCwkAQBDIyMrBixQps3boVI0aMQK9evXD06FH06NEDp06dsqnA4KVLl/D8+XNMmTKlQrYtOrNWVlYWHj9+DH9/f4N95XI5nj17ZlEIubm54eDBg2bbNRt+MQAAIABJREFUpKen22QJIQgCrVu3NhAuxtJ420JVEELmUl9bA/39vYrziImJQVBQELp3745z584BANq3b4+YmBir+9i2bRv++usv8Pl8yGQy7N+/Hz179jQphCrbVUitVmPYsGGoWbMmdDodk6UuLi4OHTt2tLtfulDxtWvXsGvXLgwcOBA1a9ZEo0aN4ObmhpycHGRlZeHRo0cgCALbtm2rUDfMnBACgA4dOkCpVOLgwYMYPHiw0TYymQzp6el2nwfwvwQWpujevTuOHj2KmJgYpKSkYN26dQYPLKzB2hghsVgMhUKBhw8fokWLFlb3T7vsmrJo02OoDCEElLkTfv311+jVqxfGjBmDd955B0uWLGFtHebg4KhcOCFU7eEsQpa4/LgAKpWKdUC7Nfj6+uLMmTPYvXs3UwuIz+fj5cuXGD58OOLj41GrVi0AZalux40bh2+//Rbffvut1cdQKpWYOHEiNm3aZLINHU9THqlUimHDhqFJkyaYN28eWrdubftJ/oM92eVIkjSYqLC1CJmLe6gs2Aqh0tJSxvXRkZw/fx5jxoxBZmYmMjMz7b5W48ePx/jx45nPf/31Fx48eGCyPZ0coLJYt24d7t+/z6Rfpi2jT58+tWhBsASfz4dIJMLChQsRHh6OPXv2IDExEbm5uWjatClq1aqFjh07okOHDkbvY7FYbHYMIpEI06dPx9y5c00KIYlE4pD4HXMiZcOGDdiwYQOAMqFsz/FsKaQrl8uRmppqkxCiv1elUmlSbDg6a5w1vPnmm4iLi8PEiRPRvn177N692+4achwcHJUPJ4Q4/vW4NumCc+fOoVevXpVyPDql8siRI5GSkgKKolC3bt0Kk1CCINCzZ0/8/vvvNvVvjQDRarVGJwvHjx/H77//joiICHTp0oW1ELJ18i4SifDixQssWLAAXl5ejAiwF7YWJUfAVggVFhY69BwuXbqEmTNnIj4+HiNHjsTGjRsd1jcABAYGmv3O+Hx+pRZ7/uCDD4yuLywstCsoXx99C4NCocDEiRNt2l8sFluMYfvkk0/w7bff4o8//jDqXiWXy22K0TKGQCCwOuECSZJ2Hc9aixBQdi3N1QMyd4yqJoSAspi1ffv2YevWrejatSuWLFliNu6Lg4Oj6sAJIY5/PWr3AOz/7Y9KE0I0BEGgfv36Ztvs3r0bQ4cOtalfayb/Wq0WXbp0AQAD9znabaioqIi1JcUeIeTh4YEPP/wQT548QU5ODiIiIljF11QVixCbMZSUlDhMCA0ZMgRHjhzByJEjcerUqVdS70QsFpudVEskEqdMRo2NIy4uDitWrIBWqzVY6N+CRqNhigHTY9ZoNEziCK1Wy0qECIVCi0LIw8MDy5cvx6hRoxAfH4/atWsbbBeLxazdvfh8vtVWHpFIZFdMkkAgsHqcnp6eSE1NtfkYllzfHOUap584xFyb8owePRpt27bF0KFDcenSJWzcuJFzlePgqOJwQojjXw8FAqfuPHH2MCpw7do1xMfH49ChQzbtZ83kf+fOncjNzWUSG9CV4vUXNvETgH1CiCAIbNmyhdVx9fk3xAgVFxc7TMzdvXsXCxYswNy5cx3SnzFkMplZIeTu7s46uN8R0MkS9u3bV6GQrn4xV9qdTigUGqyn92Ej6qyxCAHApEmTEBsbi3bt2iEpKclAwIrFYovZ0ixhS3pse5NMANbHh9WtWxcpKSk2929J6FgrxoqLixETE4PY2FjcuXMHKSkpyMrKQl5eHoqLi5maZZYwd77JycmIiYnB6dOnGXdoDg6OqgcnhDheC9ReDZGcnGzRQlOZrFixAtOnT7fZIqLT6SxaEIxlm3M0FEWxcmtzBCUlJRXSRuujVCqRkJBg8HRXo9EwSSXoV61Wy9RootfTFoPyFjW6Db2kp6ezij+zxyKkb9HQfxUIBKzjYiwhlUrN1stq3rw50tPToVQqWWfTYwNJkggKCkJ0dLTdfdSuXZuVhYHOwmYJ+gHBW2+9hZCQENy5c4f5bTki5opOj03fs/pp0ZVKJfO6fPlyHDt2DOPHj8cff/zBpMxXKpXIyMiATCZj0ufTKfU1Gg00Gg3S0tLw66+/QiqVGtyT+gtQ9uAgISEBCQkJWLx4MbM/XciZ7p+21mk0GhQVFTG/y5EjRzJJKOh96fdJSUmYOHEiYwUsP4bi4mIUFhaCx+PBw8MD/v7+aNy4MXr16oXAwEDUq1cPtWrVgqurK7y8vFhdc51Oh6+//hohISHYv3+/zTWpODg4KgdOCHG8FsjqBCM2NrbKCCGKonDs2DGLRVGNQRCEXYkKHE1VGINGo0FMTAy2bt1qIGzoDHo//fQTYmJi0KZNG/B4PFAUBYFAwFgH6Ff66T+fz2esBrRVgP5ML7QFgV48PT3x1Vdf4eTJkyguLjaYfJWfqJXfptPpkJOTg7y8PPj6+kKr1UKtVhsVXOWzA+pbOOhzKS0ttZiOmS0SiQTZ2dkmtzdp0gRyuRwXLlxAz549AcBARNLXoLy7pin3tfIilL5u+u30+6TXnz59GikpKdizZ4+BACi/v34f5dcXFRXhyy+/RJs2bSrsr9+eXk+72dFLfn4+iouL0b17d6MuquXXFRUV4eHDh+Dz+fD29gZFUVCpVCAIAp6engaFlenfX/l1xha1Wm2Q0U7/vte/1wmCgIeHB44dO4YTJ04w93pJSQmysrIQFBTEWNFoKzO9b2FhIS5duoSkpCQDq5v+bw0oi6HMy8uDUqnE0aNHmf6EQiHTL0mSzGehUAhfX1/w+XwUFRXBxcUFrVq1YvYjSZJ53bhxIyiKwpw5c5h96TpqIpEIkyZNQt++fbFs2bJXbknm8Xj48ssv0apVKwwYMADffvutyXg2Dg4O58EJIY7XAjWpwJMn95w9DAb6aaqpGkLmqEpCyNlV1Zs0aYLhw4fj0qVLBsKGIAgQBIFWrVph3759FdKIO5I7d+4gNjYWR44cwY0bNzBkyBBGMNGTNP2JHj3JI0mSmUzeunULa9aswQcffICxY8cyEzeSJJn2YrEYJElCLBabdKWrU6cOIiMjceDAAWaCTae9VigUTO0nb29v3L17FxcvXqwgsAoKChgrG23N0N9eUlKCkpISeHt7m7SSqVQq9OrVy+BeLe+aZmqhBSsARrTqbzO1T/nPubm5UKvVWLBggcH6kpISvHjxAhRFISgoyOC+Kb8UFBQgPj4eIpHIoE6Xvnigv0OJRAKhUGiwTaPR4MKFC+jcuTOzb3n3O/0++Hw+0tPTMX/+fHTp0gXz58+vMDZ9cV5evBMEYXAMuv2QIUNQr149rF+/3i4rbkZGBurWrYv4+HiTbUJDQzFo0CDMmjXLYn86nQ4uLi745ZdfUKdOHavHcejQIfz3v//FgAEDjG6/f/8+nj59yhStLY+Pjw/c3d0r1Z12wIABOH/+PAYNGoQbN25g9erVlZLBlIODwzo4IcTxWqAleK+82r0tkCSJdu3a4cyZMxVqj1QXqoIQ8vPzw7Zt25w6hubNm6N58+ZMOuCIiAib+xgxYgTq1KmDVatW2WUlpBGLxfD09MSIESMYMaZUKpGfn4+srCzk5OTg7t27uHLlChQKBRYtWgSFQsE8iefz+QgLC8OmTZvg7+/PTKb1txMEgfT0dCbWTCQSMcKOFm2+vr7IzMyEQqFg9reF27dvIywsDJmZmXZfiz179mDBggW4d8/wAYhOp8OMGTOwceNG3Lhxw2wfffr0QXBwMFauXGnXGHQ6HdatW4eIiAibBEj//v3RrVs3NGjQAEuWLGH9O3Nzc4NarbbbldWaWCdbkiXweDz4+PggOjraJiFkqR6SpSQH9mbEYwvtojlmzBiEhYVh//79qFGjRqWPg4ODoyKcEOJ4LRBSGpuKllYGb775JqKjo20WQhRF4fbt27hw4QLjq0/70tPv9RfabUh/nVKpZNx59P38zfWh306tVuP27duYNGnSK7o6rx8NGjRgHd8jk8kwduxYfPLJJ3b34eLigqZNm6JZs2Ym25gqpkqjL4zsQavVIj8/n1UyDJFIZPR68ng8zJ8/H2vXrrXYh1QqxfHjx+Hv71/B+kW/b9eundG01/Sx6Mm7LRn8WrVqhStXrqBz5854+fIlvv/+e1bxeFKp1Or02cYwdS3Lt7HlYVP9+vVx5coVvPvuu1bvw+fzzSaOOHbsGKZMmWJyO5tEEGxxdXXFoUOHEBERgZCQEPz6668ICQlxylg4ODj+ByeEOF4L+CU5qFevnrOHYYBarbZrohgSEoI1a9Zg+PDhFWJajMW3lI8DEAgEuHr1KgYMGICOHTsyLlv6LlzlF2NuXhKJBA0bNnwFV6Z6Qgek24tUKnVIdjC2T7xJkkReXh6rPujJvz0PH6ZMmYLIyEjweDz4+vri4MGD6NSpk839kCRp0oqhUCiYGB9zAkMikSA1NRU7duyo4NrH4/Fw584dNGzY0KQQAv5XX8fWVOZNmjTBzZs30a5dO+Tm5mLXrl12ZxeUSCTIzc21a1/gf0kfzGWsFIlENt17YWFhOHDggE3joN0NTdGhQwecPXsW06dPN7rdmUIIKBPGERERaN26Nfr27Yvly5fj/fffd9p4ODg4OCHE8ZqQ++AGOsz70tnDYCgqKkJUVBSOHj1q874LFizAggULWB1/1KhR6NOnD0aPHs2qH47/YU02P3NIpVLWFiGSJFlP9EQiEfLz81n1YUvdmvIUFhZi+PDh2LlzJ5YvX47//Oc/GD58OH744QebrCJ0ZjFj0A8GVCqV2TovEokEvXv3xr59+4xuj4yMxI8//sh8ppN10Bajt99+Gzwez+7Mc/7+/vj777/RvHlzjBo1Crt27bLrHmNrEaJjjgoLC+Hm5ma0jUgkwr179xAdHQ2lUsksWq3WICMcbY0uLCzEnTt3bCqKbMki5O/vj3Xr1iEkJMRoUoqUlBS89957dl0DRzJo0CA0atSIiRtauXKl08sAcHC8rnBCiOO1oLYuEz4+Ps4eBsPs2bPRrVs3tG7d2mljcHZ8z78NWyZ0xpBIJFbVnDGHre5J5UlMTER2djarSTNgW92a8shkMmRnZ4PP52P27Nno168f3n33XQQGBuLYsWNmXfb0MSeELl68yBRLtSSE0tPTTW4PCAhAXFwcI9DoJA+01Uir1UIul7P6Tjw8PHDr1i00b94c/fr1Q6dOnUBRFEQikdGsgnQWO4qiGKvXjz/+CJ1OhxYtWhjdR6fToaCgACqVikmKoZ9Eg+43NzfXpBDKzc3FX3/9hejo6AqJIPTjzPRfSZJkhJ41EARhNh25QCCAXC7HiBEjKli5eTweVq9eXWViRYODgxETE4NRo0ahZ8+e2L9/P7y9vZ09LA6O1w5OCHH86yFLsvHp0LecPQyGx48fY8+ePUhKSnLqOKpC5rl/E8XFxaxqj1gTh2EJsVjMSsTEx8dDqVQiKCiI1TgEAgEKCgrs2lcqlRq4WDVv3hx37tzB/Pnz0b59e3z66adYtmyZxX7MCaEuXbrAz8/P4lP48mMpz4ABA5iJtX5qdX08PT1ZT769vLxw69Yt+Pr64uTJk+jQoQNTx6t8tjxj6eA1Gg18fX0xefJkA4Ggn62uVq1a8PLyMnCh1RctNWrUMFs/KiAgACNGjMCuXbusPq+goCDExsZaLYR0Op3Z70woFKJZs2aYNm2a0e3Xr1/Ho0ePrB7fq8bNzQ2HDx9mMkfS6eY5ODgqD04IcfzrUd04iNHL9jh7GAxKpRIKhQLu7u5OG0NVScH9b6K4uNisdcES9BN+NkilUhQVFdm9/9ChQxEeHo7u3bsjKSnJ5NN/SwQEBGDnzp12BYPLZLIKYo4kSSxduhSDBg3C0KFD8dtvv+HEiRMICAgw2Y+56ykWixEXF2cxfb1EIrHo1mbpO+fz+ayKstL4+Pjg8ePHaNOmDXx9fbFr1y6r3akGDhyIOnXqYOLEiXYfXyKRmBW3EokEL1++tKnPpk2b4vz585gwYYJV7S1ZTHk8ntnfkEQicUrWOHN89913aNeuHbp27ersoXBwvJY4tyw8B8er5kkc1s/+0KkV7stTt25dPHv2jHW1eDZYmjBw2M6NGzdQs2ZNu/cXi8WsLUJsY0EAYOnSpejcuTPatm1r93g2bNiALVu2IC0tzeZ9zbmShYaG4t69e+jatSuaNWtm1jJkzsKm1Wrx999/W3wYIBaLWSewYJtEQ5/atWsjISEBV69exciRI63eTyKRsL4vSJI0Gzsmk8lsFhn9+/fHxYsXrW4vlUqRlZVlcjufzzf7d82Sha+yuXLlCpYuXYpffvmFqy3EweEkOCFUjeHxeCDAPdU3hbA0B/18ctGvXz9nD8WAkpISJlCb49+DRCJhlaJdIpE4JH02G4sQANy6dQuNGzdGcnIy3njjDbv6IEkSGo0GycnJNu8rl8vNTlZlMhk2b96M/fv3Y9myZWjbtq3RybG52jc1a9ZE165dcf/+fbNjkUgkrH+ndNY4R+Hh4YE7d+7gxIkTuHz5slX7OMISIhKJzLrG2XOMIUOGIDU11Wy/+kilUrPfhyUhZOneqkxycnLw3nvvYcuWLahbt66zh8PB8drCucZVYyQSCXiUBiC4bDPlEaryEZR+Gmt3/mi5cSXz0UcfYfz48ZDL5U4dB5cswbG4urqyeupOW4QspXQ2h1QqZW19+OWXX7BixQq0atUKvXr1squPadOmgcfjYcmSJVi/fr1ZF7byuLq6WnUOb731Fu7fv4+PPvoIDRo0wOrVqzF+/Hhmu7kYodTUVNSoUcNidjyhUMg6gYWjXOP0cXNzw9tvv40vvvgCZ8+etdheKpWySp9tTR/WCCGdTsfUI1OpVEyK9VOnTqFTp05Mogf9V/33T58+rfCwQKPRYO3atSgoKMCBAwfw9OlTTJs2zaDmGb3/9evXWdVjchQUReH999/HkCFDMHDgQGcPh4PjtYYTQtUYqVQKQqvh7HrlEOiUqJtyGAf27WCVxetVcPnyZcTExODu3btOHQcXH+R4XF1dWdXfoYPUCwsL7bYsyWQy1kJIJpMhNDQUFy5csLsPiqLw3//+F7dv30ZwcDCmT5+OOXPmQCKRWNxXoVBYLRzc3d2xf/9+7N27Fx999BF+/vlnHDt2DFKp1GyMUI8ePZCRkcFMkktLS6FSqZhFrVZDpVLh8ePHyMvLw6VLlwzSQOsv+kWNtVotM9Gn1xUUFODXX3+FSqUyyNJmLDOb/ntL65o0aYJ9+/ahc+fOcHFxMWhTvv3t27dRXFyM6dOnM2MsX2SZTm1Nv9cXElqtFomJiZg8eTLmzp1r9BhFRUXQ6XSQy+VGx6vVaiEWi6FUKg0SO6hUKgwbNgxCoZBZb+yVIAioVCq0aNHC4Ls8efIkpk+fji5dusDDwwM+Pj64e/euQVII/aQPVSFr3OrVq/HixQvs37/f2UPh4Hjt4YRQNUYqlQI6dm4w/zaEhS9QP/0M9u3YUiXrMnz99deYNWsWq6B6R0BRFGcRcjD5+flYu3YtDhw4wDzJpp9m05PBjh07Yvny5Qb76XQ6tGvXDkVFRRAKhejTpw88PDywY8cOo8kKKIqq0D/9qlQqWU/0xGIxa3cwkUgEHo+HZs2a4cGDB1i+fDkWLVqEVq1aAYBZAZCXl2c2KH/UqFGIiYkBn89n6sTQr2fPnoW7uztjXdNoNJDJZEZFAo/HQ8eOHQGAmZSXXwoLCyGTyTBw4ECDosTlU0KbSxNdWlqKQ4cO4ezZswYZ3gAYfLZ2m/5CFwht3749kyWO3qZfYFmn0yE2NhYJCQlMOmk6Y5xQKIRUKgVJkhCJRCBJ0qCIMl1I+dGjRwgLC8Pnn39ukFmOft27dy82btyI2NhYA/FBb7937x569OhR4f6MjY1Fz549kZ2dbVfBWKlUCh8fH5w/f95i219//dVksdXK4urVq1i6dCmio6O5uCAOjioAJ4SqMW5ubqCUGYDIw9lDqRLoHsZgZFMhFqz9uUq4P5Tn+PHjSEpKsjpD0quGE0KmefDgAc6cOcMUf6Sf/OuLDvrJuVqthlKpxO3bt6FQKNCgQQOD9MN0DZO4uDisWLECUVFRFZ7y5+Tk4KeffsK4cePg6+uLffv2wd3dHVKptEJRSFrE6j9Vp9+XlpYiODiY1bk7IkGAj48P0tPTcfXqVTx79gxLly7FvXv30KxZM4MJtKnFz8/PZN9Hjx7F0KFD0aVLlwpP/UmSRM2aNeHq6gqVSoUmTZrgyZMnzDH1xQw9BnN/Kw4ePIgZM2bgwYMHdl+LZs2aYfr06QZue44iODgY48ePx+TJk82269y5M8aPH4/jx4/bfawjR46gUaNG6NChg9HtjRo1gkQiga+vr9HtcrncqIWubdu28PHxwerVqzFjxgybxyWTyay+XxUKhVNjM+m4oE2bNnFxQRwcVQROCFVj/P39ocw5CyjqOHsoToUABWX0HmyePgL9+1etxAg0Go0G06ZNw+rVq6tEBjulUomUlBRcvXrVYEJPu+/06dOnSlrUXjU3btzA4sWLce7cOfTr1w9yuZwRM/STcaFQCIlEwjw1FwqFEIlEOH/+PAIDA7FmzRqjfWu1WsTGxoKiqApP011dXeHn54fw8HBMnjwZ69atQ2ZmJsRiMfOUXiwWM0/oTU3eo6KisHDhQlbXwBFCSCwWIzs7G1FRUejZsyfGjRvHqsaSPh4eHujTpw+GDBlitp1OpwNBEPDy8rLL0gA4JpOfI9yxNBoNIiMjwePxIJVKmYUgCNy5c8fi/ubipazFUo0qmUxmVmSYSl5BEAQmT56M9evX2yWE5HK51ferXC53mhCi44IGDx6MQYMGOWUMHBwcFeGEUDWmTp06KEhPhUvd9s4eitMQaoohuh6Fk5tXoGHDhs4ejkm2bt0Kb29v9O/f39lDAVBWOPPq1as4duyYwYReKBTi9OnTOHDgQJUZa2Vw8eJFfPPNN7hz5w6mT5+On376yWKNmfLcvHnTbLpoPp9v8mk6jVgsRm5uLnx8fODj42PT8QHAxcWFdWC+I7LXCYVCaDQahIaGomHDhli6dGkFl0B7IUnSqsx4tJtaaWmp3YlJHFHkVigUss5U9vz5c0ybNg1t2rQxiGPKyMiwKjOfuQx61mIpBbclkWFuDGPHjsWcOXOQkJCApk2b2jQuFxcXq4WQi4uL04TQ6tWrkZ6ezsUFcXBUMTghVI0RiURQoOi1TaDNy7yPUF4SNv2+x6ogbGfx6NEjzJs3D3/99VeVckf79ttvMXr06ArrFyxYgIsXL/7rhRBFUTh58iQWL16Mp0+fYtasWTh06JDdFjuJRML6yb9IJDIbH2MJV1dX1pNuiUTC2iKkXxR148aNCAsLw8yZM+Ht7c2qX6DsGlmbIpzH40GpVNothCQSCWsBQZKkQ1I2u7i44Nq1awbrfv75ZyxatMjivo4QQpZSs1tyOzM3Bnd3dwwZMgTTp0+32X3Pw8MDSqUSMTExaNeundm2CoWC9b1tD1evXsWSJUu4uCAOjioIJ4SqOcO6tsCmkz9C4ukLec264LvVglLoAgpVZ8JtDKEyF5nXfoeAFIMvJMEXisrei6QQSFzAl7tDJ5JDzRMbPRft/YuY2asuPvnvBieM3jbCw8MxdepUNGvWzNlDYTCXLOHNN9/EF198Uckjqjx0Oh0OHjyIxYsXQ6VSYdasWXjvvffsdp+icXFxYV20UiKRWEzpbA5bMq6ZwhHuYPrZ60JDQ9GoUSMsWbIEK1euZNUvPT5r684IBAJW14PttaAzzSUnJyM1NRUADJI70Aud3bJ8Ugf688OHD42KjC5duuDp06cWk5844juVSCR4+fKl2e3mRIZIJDK7PTw8HJ06dcLz589Ru3Ztq8cllUoBlD0EsIQzhBAdF7R582YEBgZW6rE5ODgswwmhas7ShfOxJKIs2DolJQX37t1DQmI0Yu49QXyGEq7Ne0DlYv0/lcqCevkUZyNnICgoiAk2Ly0tRXFxMXJzc5GWloYXL17g+fM0PMl8ifSXhcgqKEVOsQYlKg2WffIuRo54z9mnYZFTp07h+vXr2LFjh7OHYgAdp2KMjh07Ij4+Hvn5+awKhFY11Go1du3ahSVLlsDFxQXz58/HgAEDHJZYw1KxR2uwZZJvDHd3d4dkfHOEG5X+OLZs2YJu3bohPDwctWrVYt23tRYhtjV86HTPCoWCETB01j59wbJmzRoEBgYy6+lruGHDBly/fh1xcXHYu3cvI1boe45OekGns9fPGEdDEAR0Oh0aNGhQYXyBgYHQaDQoKSlhBIExHPGdikQii/eWOTFGP2goLS01mjWzZcuWGDBgAAYOHIjY2FibxiYQCFCnjuVYWYVCwXxHlZFQh44Leuedd7i4IA6OKgonhP4FEAQBT09PeHp6IiQkhFmvVCrx+++/Y8F330PZZhSUQhcnjtIQTWkxFAoFxGIxxGIxXFyqztgcSUJCAvr161flXPe0Wq3JZAhisRht27bFlStX8NZbb1XyyBxPaWkpfvzxRyxbtgz16tVDZGQkwsLCHO6mWH7yb28f1k7yjeHq6sr6ibcjYoTKJ1wICQlB06ZNsXDhQmzcuJFV3yKRyGrLG52+2l7EYjEoisKVK1cgFAohFovB5/OZv1skSaJfv35YsWIFUweHIAhoNBrweDxQFAV/f3/07t0bmzZtsnsc5hAIBCguLjYrhBzlGmfO9dNSrA5BEBAIBMjPzzdZPuC7775DgwYN8Msvv2D48OFWj40WvOauAQAma6BKpaqUEgarVq3i6gVxcFRxOCH0L0YkEmHw4MEICAjAsMgzQI0mzh4Sg7qk0G6//epEhw4dEBkZCaVSySpbHEVRTD0aR2Sd0+l0ZrPCtW7dGnFxcdVaCBUUFOD777/H6tWr0bZtW+zevRuhoaGv7HiOiK2RSqWsYoQc8cTbEULI2LXYtm0bQkJCMGfOHPj7+9vdt06nY9xZ/ocBAAAgAElEQVTMLOEIixBFUWbdWk+dOmW2j3HjxrESt5aw5hwdZeUzJyrd3Nws3v9CoRAFBQUmE4F4e3tj5cqVmDx5MgYPHmx1PI0t3zOdQMPRQoiu1XT48GFcunQJqampyMvLw40bN7i4IA6OKgwnhF4Dyp5SOnsUhqiKC14bIdSyZUtMmDABPXr0QH5+PgoKCowuRUVFKC0tZdwElUqlwQKU/bPNzMxknYrYGiHEpuaIM8nJycHatWuxfv169OzZE8ePH69Qjf5V4KiMbWwmzXStHKVSabcV0hEJAozFpDRt2hRt2rTBl19+ie3bt9vdd2hoKM6ePWtVW0dYhBwRL5Wens6qD3NQFGUxvs0R52EpxkcqlTLug6bcbmkhZI4JEyZg48aNGD9+PHbu3GnV2GwRQmzvCaDs7+fly5dx+PBhXL16FampqcjMzIRQKESrVq3QqVMnjBkzBh999BGePn3K1Qzi4KjCcEKIwymoSwqrnLvYq2Lbtm2YO3cuLl++DLlcDhcXF3h5eSEwMBAuLi7MIpfLmbox9Kv+wufzIZPJHPIkU6vVmrUskSTJejJc2aSlpWHVqlX48ccfMXjwYFy6dAmNGjWqtOM7okaJXC5nFSME/K9ujb2/L0cF1hubNG/fvh3NmzfH/PnzUb9+fbv61ul0Vj9hp5/+24ujLClsswmaQ6vVWrweJEkyVmV7k4JYsnjS6crNuagJBAKLQp/H42H79u3o0KEDbt++bdVDDFuEEEEQyM7OZlwK6QdNJSUlzGthYSEKCgrw4sULZGRkICsrCzk5OcjIyMCzZ8+QmZkJiUSC1q1bo3v37mjWrBlevHiB6Oho3Lp1C5s3b0Z+fj68vb2xfft2dO7c2aqxcXBwVD6cEHoNoANxqxJCUdmT79fBKuTq6op169ax7qewsBAEQTjkmlnKMsXn86uNEHr48CGWL1+OPXv2YPTo0YiLi7MqcNrROMKSIpVKkZmZyaoPtgU8HZUy2lgf9evXR2hoKObNm4fdu3fb1Xd+fr7FWBAatq5xdB0hNq6GlmJrLKGfXY5e6DGpVCoolUrweDwUFBQwCRz0X+mFoigkJCQw7pP6i0ajqbDQ6+nXP/74A8nJyfjss88M2qnVaoM+BgwYwHz/9P70kpubizFjxsDDw8Mg+QQ9xvz8fAgEAmbp3r07XFxcjJ4X/VpaWgqNRoPmzZvDzc2NuTa0i2j5V5Ik0axZM+YYfD7fYBEIBEwBYzc3N7i7u8PDwwP+/v5o3749WrRogcLCQly6dAlXr17Fli1bkJ2djdq1ayM0NBSTJk1Cu3bt0Lx5c+Tl5aFx48ZYvHixXXXBODg4Xj2cEHpNUKnUVSqhtnvDNxATE4MePXo4eyjVhoyMDIfUYQHKnrpaCmyuigK6PHv27MGHH36Izz77DHfv3nXqZMMRlhSpVMo6BTdbK4g9gfX0hFSlUjHvTd1f27ZtQ5MmTXDq1CnUrl2bmTCr1Wpmglt+Ak1P/rVaLS5fvoxHjx7h008/ZfZVqVQGk3OdTge1Wo3c3FwsXboUV69ehVqtNpjk638uP6nXfwWAgIAAJvmBvrDQzxxnbB1FUSguLgZFUZBKpQbr6d+X/qux9zT6GeXo9/T3RP9d0N9Gv6c/i0QihIaGGiR14PF4Bu/pz8ZeX7x4geLiYqSmpjKCgS7ETJIkY2mqUaMGatSowWzTFzZxcXF488030apVK6YPfQEyY8YMBAcH4+OPP2YsTMYEC92vVqtF+/btsWfPHri6ulawpAsEAojFYgiFQkilUojFYvj5+SEmJsYmd9nExEQsX74cP/zwA9LS0iCTydC+fXu8++67aNeuHdq0aWM0w6aPjw+GDh2KDRs24KuvvrL6eBwcHJUHJ4ReA2rVqgXp40vIffkcikbtoRS5O3tI0Lr64dLlK5wQsoGMjAzUqFHDIX1ZEjpCodAphQdtJSEhAdOmTcPChQtf2TFUKhWKi4tRWlqKkpISFBcXo6SkhInjot/funULubm5+OGHH6BSqaBWq5kJOj3p1p980230J+GnTp1CUVER+vbty0y4VSqVQd0Z/dTN5WvS0Kmd+/fvD39/f0ZUKJVKg3a0GKD3pyf+FEVBqVSCoii4urpWmOTrf6bbA2UTd3oiDQAajcZkXRf6yfp//vMfeHh4VJiEA6gwQdd/n52djYKCAjx79oyZIJMkCZFIBLlczsRJCYVCnD17Fnfv3oVGo6kw8RYKhRUm1iRJgiRJ5rNQKMTJkycRERGB2rVrGwgA/f7odfTknc/nMxnKtmzZgp07d+LKlSsG6/XPiT5n/ff624xZb3U6Hfr164fCwkJcuHDB4n0sk8mQnJyMmjVr2vgLKOOzzz5DamoqDh8+bLLNrl27sGzZMvj6+hrdvmbNGnzyyScG2U31iYyMRJ8+fTBkyBCrxqTT6QAAQ4cOtdpiZ+khEM3Zs2exZs0axMbGIicnB2FhYVi4cCHCwsJsSgE/bdo0vPnmm5g1a9Zr4w7OwVGd4ITQa0CtWrWQeOEoXrx4gT///BNH/jyGC0kZEPg1g7BOC6h57LOQ2YqWEODMzXuYX+lHrr5kZGRUmsVDIBAYWDfoCbJKpWLcccp/NvVaUlJi0C4/Px+pqanw8/MzaFu+r/ILLSz0E0nk5OQAAJYuXQoAFSZD5SeQllJml3cn0mq1zIS0vPsMPeGlJ835+fmgKAqrV682OlHWn3zrP02n10skEqavoKAg5phisdhgkk3vB8DAlYduP378eNSoUQMtW7ZkUhZLpVLmWARBMBN+WjDoH4PH42HQoEFITEw0mNjTC30cOm6Nvu761/7ChQtm0x8vXrwYPXr0QHZ2tqVbsQLffvstjh49ikOHDllse/z4ccyZMwdjx461+Tg0GzduRGhoKJo0sS/rZkBAAEQikcN/uwsWLMCNGzeQnJxsVXu2boKWssYBlq2RlsYgFApttmYSBGFTOmxzYygsLMTmzZuxZMkSqFQqDBw4EJs3b0ZYWJjdsZlBQUEICQnBjh07MHHiRLv64ODgeHVwQug1okaNGhg5ciRGjhwJiqKQmJiI48dP4LeLN5GQrYN7UCg07v7Q4dUXmgOAexnsMve8Tmi1WiQmJtpUcZ0NCoUCf/zxB+RyOZRKJTQaDfPUXSgUQiQSMZ/pV/p9+fUSicRgfXR0NG7evInZs2dXaKvft/5Cu7nQ72kXmNGjR8PLywsbNmxgrB805d2LjLkilYcWJfoCxVQGrPI8efIEwcHBSEhIsPu6r1mzBjt27MCqVavs7mPFihUYNmwYPvnkE7v74PP5qFWrlt1PsC0lGahdu7bdrpfWFPaksWdibayP/Px8u/enf0OOJDo6GqtWrUJ0dLTVMYNss6VJpVKLsU6WrC10DR9TCIVCm64VbRGyRaToi7Xi4mJERUXh119/RWJiIl68eAE/Pz/Mnj0bU6dOtfq3b4nw8HB8/PHH+PDDDyulkCsHB4f1WC2ECILgA7gG4BlFUf0JgpgM4P8A1AfgTVFUlon9lgLo98/HRRRF/fLP+u0A3gSQ98+29ymKirPrLDhshiAIBAcHIzg4GNOmlRWdvHTpEn4/eRrn41PxKE8DSc36kNasB63ME2rC8XUQeLyqFLXkHJ4/f46NGzciLy+PSa1Nv9dfSkpKoNPpsHnzZocd29xEtEuXLsjJyTFwF3JUAdLTp09j3LhxmDNnDuu+vLy8wOfzjfrnVzYymcwhdYTY9iESiRySea60tJSVEKInqcZQKBR2n2f5Yq3mcIQQIkmS1fWUyWSsswnqo1Qq8d577+GDDz4wW9+oPGwtQlKp1OL+PB7P7LlaEkoikcis2NJ36aTdSSmKQnR0NHQ6HZRKJV6+fMkILtp6TFuVNRoNcnJy8NFHH0Gj0SA9PR3+/v5466238Mknn6Br165wd3e86/ibb74JuVyOY8eO4e2333Z4/xwcHPZji0VoKoBEAPSM4xKAowDOmtqBIIh+AN4A0AqACMA5giD+oCiKfrw2g6IoruRyFUAsFiMsLAxhYWEAyibJjx8/xt27d5GUlIS7yY/xKCMPabnFeFmqQ5EG0BBCiOSukLh6QajwBE+igI6UQc0Tg7IiNQMJdoHl/wYWLFiA1NRU9O3bFwqFAq6urnBxcYFCoTBYZDKZQ58kWpMM4VVMCADgzJkzDqurIZVK8fLlS4f0xRZHCKGqUJQVePX1d9gUfrUlKYWjhBCb2k6OELf6rF27FlqtFmvWrLFpP0cIIUvX0tIxLAklnU6HZcuWITIysoKbKi2saWsj7bJKkiT+85//MG6jGRkZ8PLyglwuN0jWIBQKwePxUFxcDBcXF3z11Vfo0qULPD097bsgNkAQBKZPn46VK1dyQoiDo4phlRAiCMIPZVadbwBMAwCKom7+s83crsEAzlEUpQGgIQjiFoDeAPayGDNHJUAQBOrWrYu6deuid+/eRttotVrk5+cjOzsbL168QGZmJjIyMpCe/gLPMl8iPbcQao0OAj4PQj4PpIAPoYAPoaDsc/sJAyv5rKoWubm52LdvH5KSkio92xlBEE5Lj/38+XOHCSGZTIbnz587pC+20LVcCgsL7U5x7qgaPmwtQo5IO23u/qLjjOwp/GqrEGLrlsZWCDmi0C5NaWkpFi1ahF27dtksINmKW5lMxvo8LMUQubu7o3///ti6datBLB29PH78GG+88QZyc3PNjvP27dsmExr07t0bTZs2xaBBg1idi60MHToUs2fPxvXr19GmTZtKPTYHB4dprLUIrQEwE4CLjf3fArCAIIhVAKQAugP4W2/7NwRBfAngTwCzKYqq8FeWIIiJACYCZdmGOKoOfD4f7u7ucHd3R4MGDZw9nGrHhg0b8Pbbbzsl5bMzhZCrqytSUlIc0peLiwurSaojIQgCIpEImZmZdgshR1iVZDIZ62vCthaRNedBF998lUKIJEmnW4TkcjlrcUuTlJQEoVCI/v3727wvfb3txRoXPx6PZ/ZcLY1BKpWaTSxhTYFbSyLe1dUVeXl5Jrc7msLCQly7dg2XL18Gn8/Hxx9/jGvXrlXa8Tk4OMxjUQgRBNEfQAZFUdcJguhmS+cURZ0kCCIEwGUAmQCuAIw/1BwA6QBIAJsBzAJQIQcuRVGb/9mOtm3bVv3CJhwcVqDVarF27Vr8+eefTjm+SCRiFQDOBnd3d4cduyoJIaBskp6VlYXAwEC79pdKpQ6pRcT2mrC1Hri6ulqcNBMEYde50kVOrUEsFrOuy2QpbsUSMpnMYUKIz+fbnWSCrZVPLpdbJYTMHcPSGCQSCbKyjIYbAzBdqLf8Mczdu454UGAKiqLw4MEDXLlyBRcuXMC5c+fw6NEjeHp6ok6dOhg4cCB++uknpKamcg92OTiqCNZYhDoBGEAQRF8AYgAKgiCiKIoabc0BKIr6BmUudSAIYheA+/+sT/uniZIgiG0Awm0dPAdHdeXvv/+GQqFA06ZNnXJ8uVyOjIwMpxzbxcWF1cRSH4VC4bC+HIFEImFSetu7P9tJs0wmQ1pamuWGZmBblFUoFDIB7XShzfLweDyzCRVMYUvBV7FYzPr+EIlErCbObBJDlKdBgwYoLCzE8+fPbc4gyVbcWiOEhEKh2WslEAjM9mEpRbc11kBrrE5sfqP6FBYWIiYmBpcvX8aZM2cQGxsLgiBQq1YtBAcHY9asWRg6dKhBMheSJPHNN99g06ZNDhkDBwcHOyw6GVMUNYeiKD+KouoCeA/AGWtFEEEQfIIgPP953wJACwAn//lc659XAsAgAPF2nQEHRzWktLTU7omgI/D29saTJ0+ccmxHphPmhFBFrAlqtwTbSTNBEODz+WZjley1CNkihCQSCev7g61VSS6XMwVp2SISidCqVSu7skeydY2zRghZsjRbI1LMfV/WWIQsWaWMHaO0tBSHDh3C2LFjcf/+fZP75uXl4ddff8Vnn32GJk2awNPTE6NHj8axY8fQpk0bnDt3Dvn5/8/emYc3UbVt/E4yW/a2dKctVAoIWHYQZJVFVDZBRQReKIigLMruAqigvAioICCgFFBRWVUQRAREBARkUQREdiiltXtLtzRJk3x/8J35kjTJZKPA5/ld11xJZzlnMpnAc89zzv0U4/z58/j222/x3HPPVXG0fO2117BlyxacOnXK4+egUCjVg991hGQy2Uu4NW8oGsApmUy2w2azjZTJZC0BvGCz2UYCYAEc+F9DhWIAQ/7XOAEAvpTJZBEAZABOAnghgM9BodxTtGjRAiqVCtu3b0efPn2qvf+4uDhkZGRUe7/ArYxQoIE6Qa/XB62tYKDRaPwqEkoIxjAqtVodcPAfaEaItFFaWoqQkBCX2/0dquXLHCGlUhnwfBClUhlQRohhGMhkMpjNZtFQIxB69+6N7du346233vL5PAIRQnq9XjKzRb5Te3trYnltsVhgNptx5coVXLt2TdxO1ldWVuLatWv4888/8cEHHzgUV66srBQtsK1WK1auXOnQR1lZGcxmM8xmMwwGA1555RU0atRILMRsv2zfvh1yuRz9+/eH1WpFSUkJDh8+jNDQUPH8Dhw44GAElZaWhnXr1mHhwoXgOA6NGjXC+PHjMWjQILf3tztCQ0Px5ptvYsKECfjpp5+CVpaAQqH4h09CyGaz7cP/2mXbbLbFABa72Oc4gJH/+74Ct5zjXLXVxbdTpVD+/yCXyzFp0iQsXLjwjgih8PDwoBkW+IpWqw1aXZW7TQip1eqAAu9gzBFSKpUBZ9wCzQgBt57eFxUVIS4uzm0f/gohT1kBq9Uq1pCxWCzIy8tDQUGBGIxbLBYxOLd/tQ/Y7fe7fPkyCgsL8f3338NiscBms4nBu3Ogb7/Yb7NarejcuTNYlnUo9OucESa29qQ4MHlvv2RnZ/tlj15eXo4pU6Zgzpw5oh01sai22WwOhZNJX/b7mM1mmEwmaDQah232NtcMw2D48OEYPnw45HK5uBCra4PBgDNnzuDTTz+tsk0ul6OkpAQGgwFfffWVWNiYWF+T9wCwcOFC0Q5boVCIBZcZhkH9+vXBMAzS09PBcZx4rCAIYFkWOp0OCoUC0dHRkMlkUKvVWLhwIRo3boyKigrExsZi/fr1GDhwII4dO4Yvv/wSqampqFu3LqZNm4bJkyf7fO2dGTVqFJYvX44tW7agX79+AbdHoVD8x++MEIVCCYxnnnkGb775Jn7++Wc8/PDD1dp3MIZP+UtsbCyKior8qiHjjF6vD9owu2Cg0Wj8FkJWq1UUBwUFBaioqBADafJkm7yS9fbryPr9+/fj6tWrSE1NdTiOPFUnQb/9e3sxUFlZiezsbCxbtgxpaWliIG8vHMg52R/rHPiXlJRg2LBhiIuLE/chATU59w4dOkAQhCpBuXMQXllZKQ6zU6lUsNlsUCqVVfYjwoIE1xaLBUqlErGxsWLQTbZ5erXfjxTpHDt2rHi/ksBdoVBUCeadt5FjmjVrhoiICHFf0g7py14UyeVysCwLhUJR5fzMZjMmTpyIgoIChIWFeX1/qdVqJCYmYuzYsaJoIBbVCoUCP/74I1atWoVt27Y5rCevJpMJDzzwAK5duyaus18YhsHjjz+OZs2a4b333vPrN/Dxxx9j6dKlHl3VWJbFwYMHffrs9mRlZSEmJgbLli2rso3neYwYMQKDBw/GxIkTYTAYEBMTg/bt24NlWYwdO9avPp1hGAYLFy7E6NGj8fjjj4Pn+aC0S6FQfIcKIQrlDsGyLN5++228/vrrOHToULUOkdBoNNUyt8ZqtaK8vBylpaUoKytDWVkZKioqUFJSgnfffRcjRoxAdHS0V21UVFSgvLwcBoMBZWVlMBqNSE9PR2lpKU6dOiUG466Gw7hayP5kIcNwnN9XVFSI+5DhOmQfewFgNpuRk5OD/fv345NPPnEI6l0tzsG/PVFRUS6fmJMAm8zBIa8k6FYoFGKmb+HChQ4BK3my7lyfxTnoZRgGZWVlOHLkCAoLCx3OgfRz7do1pKeno0ePHg7HkfdyuRy9evVCTEyMw9N6++WPP/7AxIkT0aZNG4dzdH5PsgDjx4/H7t27cejQIURHRzvsJ5fLxXbJ+QLAzp07MXr0aKSlpd2Gu9t7NBoNXn/9ddSsWTMo7a1YsQKbNm3C6NGjfTqHHj16oH///i63WywWfPHFF2jdurXL7USokWvvikDrYHlTq4hhGMyfPx8hISEOv9PTp0+juLgYEyZMwNatW6v8NonIP3LkCORyOa5evSoKfPJvTFpaGsrKylCvXj3UrVsX27dvF+f8AMDff/+NZs2a+f357OnWrRseeOABLFq0CK+88kpQ2qRQKL5DhRCFcgcZOHAgZs2ahV9++QWdO3eutn61Wi3++usvbNq0CUajUQwoyHuj0QiDwSAu5eXlMBqNqKioEJd//vkHOTk54hN9++FE9pkD+yCVBOMcx2H69OniPAfyRJQMOyJP98lQJBKE2we/JFAGgIcfftjhCbzzE3l7oeD83l4kkOE3ZEgNx3HQarXie57nIQgCeJ6HUqkEx3EQBEF8HTlyJD7++GO0adNGDMrt+3R1LvbbgVuBXn5+fpVJ1t4yatQoFBYWYtOmTX7fHwqFAgaDAevWrXO5fc2aNZg/fz527tzpdx8rV65E27Ztvc6G7tq1C6GhoRAEAVFRUV4d44vV9u2EZFSCRYcOHUSR5y1StaGkhhyS37HRaIRKpXK5j0qlCshYwhshxLIsNm7ciMjISHAcJ/52IyMj8ddff2H48OEICwvDI4884vC7JovBYMDp06fRsGFDh9/f3r17YTKZUFRUJP4Wk5OTYTQaMWnSJPTo0cNvW3x3vPfee2jbti2GDRsm+UCIQqHcHqgQolDuIHK5HOPHj8fHH39crULooYceQlRUFF5//XVxqIhKpRKFAMMwYtCvVCqhVCqh1+sRHR0NpVIpGj0UFxdj+/btokjgOE7czvO8mIFwJj4+HmvWrEHXrl1RUlKCoqIi2Gw2MVixH9tPJpu7Q6FQIC0tze8ipsFkwoQJSEhIQJ06dfxug+M45Obm+i2ENBoNbty44Xf/gLTFsDfFNaWQslp2ha8mDkSk32nkcnlQhVDHjh0xa9Ysn46RshL3tlhpRUXFbRNC3jjTcRyHtWvXol27dlW2paeno3HjxpgxYwZGjRrl8viGDRti9uzZeP/99x3Wl5WVITExEQsXLhTnATVu3BhfffUVxowZg5YtW+Lo0aN+fjLX1K1bF8OHD8f06dOxatWqoLZNoVC8gwohCuUOM3DgQMyYMQPFxcV+B7++0qBBA3G4UEhICH744Qefg3ej0YijR4+iVatWPvfPMAzKy8shk8mg0+kC+twsy6KgoOCuEEIsy3q0jPYGnudRWFjo9/EajSbgIqJSNsbBsECXylC4Qi6X+yyE7paMUDDnsnXq1AmZmZk+zbOTsgH3Vgh5EipqtRpZWVlenY+74w0GA4qKilBRUSFmoQ0Ggzgktby83K1ZRHx8PGrXru3xWguC4NL9Tq1W45NPPkFKSgpGjx4NjUaDzz77DEuWLIHJZELt2rVRVFTks0ucFDNmzED9+vXx+++/o3nz5kFtm0KhSEOFEIVyhwkPD0f79u3x3XffYcgQr0p0BRV/g/eKigq/7YDJEJVgwHGcx9ol1QnLsgGLEJ7nA3Ke02q1QRFCngSHTqcLihDy1bDDVwtonufvioxQsIVQQkICtFqtT/b7VqtVHFLmyt3u/PnzKC0tRfPmzcWhqc7ucnK5HC1bthSvq7PBRUFBARQKBaKiolzOhTMYDOKwUFftk+8qPDxcHC5qP2+MOM9lZ2e7/Zwcx3m81p4EX9++fdGyZUsMGDAAO3bsAMMwCAsLQ9++fWEymXDixAl07drVq+vtLXq9HrNnz8bLL7+M/fv3UzttCqWaoUKIQrkLGDJkCFavXn1HhBDJzlR3n8FyreN5PmiV4gOF47iAM0JKpTKgjJBOpwv4+xQEweOTf41GI1lTxhPjx4/HxYsXfRbDvgoKb7Ic1YE/2S8punTpgnXr1nkthIh42Llzp8NcNSI08vLyYDQaMWLEiCrz58hrSkoKxowZI86vcTbIGDVqFOrWrYs333zTpfPc1q1b8eGHH+K3335zGIarUCjAsixu3LiBhg0berxW9evX9ygWOI7z+G8Ly7JuxbFMJsMnn3yChg0borS0VMwynz17Fr1790aXLt5X/fj111+xb98+DB8+HJcuXUJ+fj6KiopQWFiI4uJi3Lx5EyUlJeJy+PBhHDp0yOWQPwqFcvugQohCuQt44oknMGHCBJw9exYNG7osvXXbIC5hvqLX6/2qZwIENyOkVCpRVFQUlLYCheO4gIpvAreG6ATyeXQ6XcDXVspkQKvVBiSE1qxZg/79+6N79+4+HedrfaO7ySwh2DbvzzzzDFJSUpCZmYnY2FjJ/W02G1577TW8/PLLLrefOXMG7dq1w7hx49y2MW7cOPTq1QuNGzd2ub1WrVpITk526zxHavy4O1+9Xi/5ffE87/E3xnGcxwcBUqYQ9913HxQKBbKzs6HRaHDx4kXUqFFDtD73RF5eHmbOnIlt27ahqKgIJpMJM2bMQEREhDh3Uq1WQ61WQ6PRQKPRQKvVIjY2FtnZ2Th69CgVQhRKNUOFEIVyFyAIAl588UUsWbIEy5cvr9a+/R3OFRYW5nf2QypY8YW7SQhJBWneEGhGKBhFZt3NoyAEKoQ0Gg0mT57sswuXP2YJd0NG6HYIoSeeeAJPPPEEOnbsiAsXLkjOFWJZ1uM5eFPoWOpzSPUh9X3odDqxkKw70cHzvKTQkXLHkxJbLMuipKQEVqsV9erVAwC0b9/e5b5WqxUrV67E0qVLcenSJbRp0wYffPAB+vTpIw7l0+v1HvsDgNWrV2PPnj2S+1EolOASWDVDCoUSNEaOHIn169cHFGD6g7/DuQIRQlLBjC8IghDwcLRgIZbK1SEAACAASURBVAhCwEJIo9EENOcpNDQ0KELIU7AYEhIiBqz+snLlSly/ft2nY3ydI/T/WQgBt+oJcRyHJ598UnJfb4SQlECQMksQBEFSCHnqgwyx8/RvoFKp9Ph7VyqVHv9tUSqVXmWdiouLIZfLxezVsWPHqtxLeXl5CAsLw3//+18MHjwYly9fxs8//4wBAwaItvreiCDglhPg/v37A/pNUSgU36EZIQrlLqFmzZqIiYnB33//7Xboye3A38n5YWFhfg/BCoZgICiVyrvGLEGlUgV8LoEKIZ1OF7BVs1RGiOM4yGQyVFZWgmVZn9t/7LHHsGrVKiQmJmL69OleH+eroFAqlTCbzT65q90Ogl1HiCAIAnbs2IEmTZrg9ddfx3//+1+3+0rNndHpdGLdLnfZGLlc7vH616hRA3l5eR7P11tnOndGLEql0u2/HVarFRzHobCwEKWlpQ6FVElts8zMTJSXl+Ovv/4S11VWVoqmDRaLBQUFBVi6dCn27t2LYcOGYffu3di/fz+6deuG+vXrw2Aw4J9//sGJEyeQlJSEY8eOBWxyUKdOHdhsNly5ciUg+30KheIbVAhRKHcR9erVw8WLF6tdCPmTUQkPD/c7q6NWq4OWxVGpVH7PVQo2Go0m4M+lVqsD+jw1atQIihDyJjtQUVHhlxBas2YNrly54nP2k2VZn7JdxBCgvLy8Wu3VrVYrKisrYTKZIJfLYbPZcOPGDaSlpYlBt33wTd7bO6iVlZWBYRgxWC8tLRXd2uyPs1gseOGFFzB37lykpqbi2rVrLuv8KJVK/PLLL9i9e7fDOdg7yNlsNqxevRpyuVwUCPbbi4qK8OKLLyIhIcGhiDI5p1OnTsFoNOKFF14QxQcRI2azGRcvXkRpaSmSkpKqfF7yajab0bBhQ7AsK7Zts9lgNpthNptRUFCAXbt2YenSpQ5Fl8l+hC1btohFjGUymfhqsVigUCjQsWNHcZ3zIggCDh48iOzsbLAsi7CwMDz22GNgGAZ5eXkQBAFNmjTB2LFj0atXr6A4vclkMjErRIUQhVJ9UCFEodxFtGvXDl999ZVXQ12Chb/ZmfDwcL+HYKnV6qBlhAIVDsFEr9cHZH0NBJ4RCgkJgdls9vhkXwr7J/f2QX1FRQVMJpPY/u+//y7OFyJ1XkwmE0wmk/hEnhQTtd9mMplw7tw5ZGZmwmAwODy5tw+cib2zxWJBfn4+/v77b8yePRubN292EBOuFhIgsyyL5ORksCxbJeh2tn92td5gMMBisUAQBLf7k3Mh15y82gfW06ZNwxtvvCFmpsgrCdLJe5lMBqPRiPLyckRERIjBem5uLlQqFfR6vUPbxAEuKSkJhYWFqFevHnbs2FHlYUqXLl2wYMECPPfccw7nYC8UeJ7HvHnzwHGcw3qyKBQKaLVatGjRwsENjiwWiwV//vkncnNzxWLKLMtCqVSKNv1nzpzB/PnzqzjKsSwLuVyOjh07IiUlBY0aNQLDMOJ6lUoFpVKJgQMHYujQoRgxYgRYlhWHoJHXyZMn4+zZs/jhhx9c3tvnz59HixYtkJ+f7/b+j42NxaZNm6rduIAIoeHDh1drvxTKvxkqhCiUu4hx48Zh7dq1mDZtGubMmePX03Zf8VdIRERE+D3vQa1WBywY7NsKJAvjHOiTQo4Gg0Es5EgWk8mE2NhYcViY89AbEtxv3LhRfKJuP/zG/uk6Wez3MZvN+OabbyCTyTB+/HhYLBaYTCZxPyIK7Ou/OB9PBEBycrJ4nq76dvVEnywVFRVQKpViNsM+6CYLx3Ho3bu3GCCT7AsJbsn8n3r16jkEvSS4vXnzJgoKCvDHH3+I6+0XlmXBcRx0Oh0UCgVOnz4No9GI4cOHi4E6Cbadg3J7W+bhw4dj9OjRSExMdAjaXQXyrtZ9+eWX+Pzzz3Hw4MEq+8pkMtEGWhAEUQyQawHcsq1u1qwZVqxY4bU9fk5ODuLi4pCTkyOuCwkJwdGjR8XJ+64wGo1466230LZtW2zZssXBlW/SpEmYNGmSx34FQcDhw4dRo0YNl9vr16+PKVOmYODAgS63k/vm66+/drn9119/xe+//47+/fu7PYeoqCh06NDBraNgWFgYoqOj3RptSNXR0uv1XplCBNvu3Bs6deqEBQsWVHu/FMq/GSqEKJS7CKVSiZ9++gnDhg1DixYtsGbNGrRo0SLo/dgPq2EYBtnZ2cjPzxcFABmG4ryQJ/tksVqt4lAaqX3tl23btiE7OxsDBw5EUVGReC6unuw7F1skw1/Ik/eTJ0+CZVl8//33Hp/4u2qPvHd+uu4uuM7IyIAgCNDpdA6igBxbUlKCyspKzJgxw6E9ZxHhvNj3WV5eDqVSievXrzsE9QzDQKVSOQgFhmHAcZz4NxEPx44dw3/+8x+EhoaK61iWBc/z4n72f5Pt5HXz5s1Yvnw5zp496xDU+0LXrl3Rpk0bzJkzx+X2JUuW4NNPP8WuXbu8ai8nJweJiYkYPHgwkpOTvT6PCRMmoFu3bmjZsqXXx9hz6tQpaDQar4crOV+rqKgoxMTE+FTrypV7mjfzjHiex9y5c1GrVi0MGDAAGRkZLofJuUPKjELKtU/KLCEsLEzy4YlSqfT4kETKcVKtVnsUMWFhYZLOdL7atAeLBg0aoKSkBOnp6YiPj6/2/imUfyNUCFEodxkRERH4/vvv8cUXX6BHjx7o378/ZDIZTCaTmLlwFhxESNgPQXInTMj+JPAmwdWOHTvA8zyUSqUYYNsHzfaBMlnatWuHXbt2OQTYzvvwPA+NRuOwrmHDhiguLobVasXbb7+NqVOnikG/TCZzyC6Qv50DcjIBPjU1FTabDampqQ6ZAFdDb+zXkSE3xKnKG6ZOnYrTp09j586dLrffvHkTkZGRuHDhgt/ff/fu3dGiRQu8++67frfx5ptvYujQoYiJifHr+ISEBL+NEAhSc7ekDBmciYyMRLdu3TBt2jS3w55c4e8cOEJISEiVoHjp0qVYtGiR+LszGAw4duyY2yyFIAg+ZV0FQQAAmM1m0TTAF6OIF154AWvXrsVzzz2HdevWed2vlNiSqv+lVqs9nmNoaKikmJO6VhzHeTwHjUbjcTvJJhqNRvE6O+PrXDR/sNlsMBqNKCsrQ1lZGUpLS8V5Yb/88ssdKa5NofwboUKIQrkLkclk+M9//oO6devi6NGjVZ7Yk4VhGPA8Lwb47vaz/5tkEO6kixbh1KlT2LRpk0e3KykyMzNx/Phxt0Ucg4lGo/E4t8kba14pVCpVwIYLgQ7tCQ0NDXhokEajCaoQAm6ZLCQkJOD48eNeZ3i8tYcvLy/H1q1b0bdvX4csikajEYN3m82GmTNnYsmSJZg9ezbi4uLA8zwGDRqEjIwMt0JIyrHNFQzDOLin+eqYt2LFCjz00EMYM2YM5s+f75VZBJnP5Q4pIaRSqSQzQlLz16RcIKXmNLoSrs7I5XJcvXoVcrkceXl5KC8vh9FoFIfFFhUV4bvvvoNGoxGHkDoPTbUfWkoeQhUVFSEnJ0dcbt68KQ5NJe2Xl5eLc+3sh1aSf5/Lysrw3XffUSFEoVQTVAhRKHcxbdq0QZs2be70adw2VCpVwPWEVCpVtQ1jUavVkoGizWZDRUWF26fNUgTjmjAME7AQCvSaarVaj4VhvXGmcyYsLAy9evXClClTsG/fPq+O4XleMhuTlZWFRx55BBcvXoRer8fHH3+M+Ph41KhRA2q1WhwGOmbMGGzatAm//vorHnjgAfF4qXknPM/7fD3J8CwiYHwVQsnJyfjhhx8wceJE1KhRAxEREYiLi8O6devcCjapPqQE3Y0bNzwWNya26yaTCTzPu9xHo9F4bEOlUnkUQlqt1qtr3bBhQ6jVagiCIIoRsuTl5eGbb77BL7/8AplMhps3b8JmsyEyMlIcCms2m5GVlQXg1n0ZHh4OlUolXuukpCRERkZCEAQwDIPRo0fj/fffR7t27RAREYGIiAiXwxa///57LFmyRPL8KRRKcKBCiEKh3DEEQQg44FYqlbelWKUr9Hq9R4FBnvAWFBSIhRh9JRgueIHOcahRo0bA11Sr1XosmOpv9iw1NRWxsbE4cOAAOnToILk/x3HYsGEDbt686fAk396lbunSpUhOTsbJkyexcOFCDB06FMXFxeB5HkOGDEFhYSH69++PI0eO4I8//kBCQoJDH7m5uejatSvuv/9+h7o0JFvwzz//+GyJLAgCrl+/jvDwcAD+1SJq3749jh07hoKCAmzevBkvvfQSkpOTceTIEQchR5DKCEnNz9m3b5/kfc+yLMrLy90KIamMqJQQ8iYjpFQqce7cOdx3330ut7/44ovIzs7GN998AwDo168fYmJisGzZMnEfq9WKxYsXY+LEiejYsSN27Njhsc8NGzbgxIkTePnllz3uFx8fj/T0dI/7UCiU4EGFEIVCuWMolcqAh2CpVKrbUqzSFXq9XjLI4jgON2/e9FsIqVQqZGdn+3UsgWGYgLJKoaGhPg9bc0an03kMWHmelyyu6QqNRoOnnnoKU6ZMwZEjRyQtwnmex6+//ioOhbKfg0bejxw5UjR1mDx5Mp5//nnk5+cjPT0dAwYMgFKpREZGBs6dO4eQkJAqffTu3RsWiwW9e/cWh58qFApx7tzs2bN9FqZhYWG4evUqmjdvDsD3jJBzW3379sXEiRPx8ssvo3v37khLS8OgQYOQlpYmmobk5uZ6/C15KmYK3Lp3mzZt6vFcyL0ZGhrqtg1PDwLUarXHoXMhISGS/x4QMeYO53+XXP07JZfLMWHCBEycOBFTpkzx2B8AzJ49G926dcOsWbPcZuSAW0Loxo0bku1RKJTgQIUQhUK5YyiVShQWFmLmzJlVDB2cTR9cvTeZTDh58iQaNGhQLeer1+slg1GO4zwO7ZFCah6SN0i5e3lzDsRWnGH8+28iJCTktgghAFi2bBliYmKwe/duPPLIIx73FQQBkyZNwmuvveZ1+zqdDjqdDomJiWKB0mPHjrndf9OmTR7bW7dunV9zhM6fP+/wdyAPDTiOg8ViwezZs/Hzzz+L2aJXX30V0dHR4hzDJk2auG1DatimlFAin0PK9U1qu6cHBTqdLmB7bGfnObVajW+++QY5OTmIjIyssq83piRt2rTB4MGD8cgjj+D8+fNu52iGhITAYrGguLgYOp1Osl0KhRIYVAhRKJQ7hlKpxHvvvYeysjKoVKoqpg7Ofzu/5zgOe/bsweHDh6vlfDUajWSmhOf5gAqiarXagLNkgQbNxE3PYDBAq9X61UZoaOhtE0KCICAlJQUTJ07E6dOnPRp/CIIQkPkEx3FixsRfgxGVSiXOJ/GW/Px81K1bV/xbytpaCpZlYbVaoVAosGXLFnTr1g0AUKdOHTRv3hz169eHWq322IbUUFZv5rd5I4Ryc3Pdbpd6UBAWFiYphDz9PsrKypCamupQcyklJQWrVq3CgQMHqhS79taMAwAWLVqEZs2aYejQofjiiy9c7iOTycThcY0aNfKqXQqF4j9UCFEolDuGTCbD5MmTA2ojPT0dBw8eDNIZeUalUknOaxEEIaBisXeDEAL+b/iQv0IoJCTE4zkEIoQAYMGCBdiwYQOeffZZbNiwwe1+gQ6/JDbuxcXFLofFeYM/56BQKBzmIkkN55KCCCHglhX58ePHMW3aNMyfPx+FhYUoKSlBz549sWHDBrdZQI1Gg7y8PLd9qFQqj9sB6WylWq1GWlqa2+16vV5yeB6Zn6VQKNyeg7truX79evA8j6lTp4rrHnroIdSpU0d0gyPzy6xWq5i5q1WrFkJDQ2GxWMTCzCaTCTabDTVq1IBGo4FCocDzzz8vWTQ1Li6OCiEKpZqgQohCodzTBGOekbeoVCrJjJCvNWOc0el0d4UQCtSCOywszOPxWq02oLldDMPg1KlTiI+PR2Zmpts5WcEw5GAYBqWlpX4LIalCo65wNkdgWTbgjJC98OQ4DosWLcKiRYsA3HJ8a926NZYsWYKJEyc6HEuGScpkMhQWFiIrKwtGoxEmk0kcpmo0GpGTk4MLFy5g9+7d4jqLxeIwnLW0tBTLli3DwYMHYTKZxHaMRiMqKyuxefNmlJaWIiUlRTzG3rr6r7/+Qnp6Otq3b+9gfmFvTqFSqVCvXj0oFApxvc1mEzN7N2/exIABAyAIgngs2VZWVgar1SqaeZDiyxzHYcyYMZg8ebJDEWWLxYIXX3xRFEDEMMW+7pnZbEZ0dDSysrKg0Wgk5xRRwwQKpfqgQohCodzTVKcQUigUsNlskucTiBDyxpBBimAUhAw0AyFlwe3NXA57SDBOnrSTmi+xsbFYvHgxxo8f71DXhbi3ZWRkID09HWvWrHEIqkkQX1lZCZvNJr53XkhAP3LkSISEhDgULyb95Obmwmw2i8M7SXBNgvC0tDQYDAY0adJEDMjJfUSyNIWFhVCr1ZDL5aIF+1NPPQW1Wg2bzYaCggJMnz4dCxcudDjeZrOJQXh4eDh4nnfom7RPRJC7eV9xcXFYvnw5nnjiCUyaNEm818kik8nE4L9WrVqQy+XiQgoeA7d+I0OHDnUogmxf2Nhms+Hrr7/G2bNnHQo3k1o6+fn54nlyHAeNRiPuRwojFxQU4NFHH3UolEwWjuPw3HPPISUlBfXr1xfbtT+HIUOGYMCAARg2bJg4BJe0tWDBAuzcuRM//fQTVCoVVCoVUlNT8fLLL2P37t3ikEJfuHHjBg4dOoSGDRu6dOtzJiYmxuehlBQKxT+oEKJQKPc0SqWy2uoIkSDVE1L2vs6QAJ8sAFBUVISsrCwHm2ey2K9ztZ24f3355ZcICwsT93EWCa5EAzkXi8UCo9GIqVOnol69eqKAsBcHZJ2zFTXJAJSUlKC0tBRNmzat0r99gUm9Xu/wtN7TKwnE7QPwyspKLFq0CEuXLhW32wftJpMJOp0O8+fPF4NzEhSTANn+KT7ZRoJmlmUB3BISZHgTMRYg+8TFxUGtVqOoqAgVFRUOxzMMg2+++QZ79+7FmDFjHM6P9C2XyzF06FC8+uqraNasWZXPKZfLMW/ePGRmZmLJkiUOrndyuRwsy2LPnj1YvHgx5s2bJ54jEQmkr5iYGI/mF3379kWrVq2QlpaGr776Ch06dBCvs5Q7n7ckJSVh/vz56N+/v8vtTzzxBOLj493W0vn777/Rrl07zJgxw20f06ZNw8MPP4z27du73F6jRg00btxYdOSzZ+bMmfj0009x6tQp9OrVCwAwbtw4vPvuu/jrr7/8EkJxcXEYMGCA1/vr9XrJIYYUCiU4UCFEoVDuaeRyOU6cOIEPPvgAAKoE3M6v7t6TAN6+erx9O5WVlcjNzZXMPvE8jxkzZmDx4sUObTg/pScL+QxkIUPv7rvvvirBsH2A7/xqv09paSlOnjyJGTNmOGx3fm8fiJP3JIi2WCy4evUqZDKZgyggT91VKpUoJpyfyPM8D5lMhtdeew3PPfecS+MLhmHQp08fHD9+XHwiT/qxFyT2f7szK2jTpg0aNmyI1atXB/HO+j927dqF2bNno23btn4dz/M8srKyMHr0aLf7TJs2DZ07d0aPHj1cbj9+/Dh++eUX9OzZ0+V2mUyG1NRUj314w9GjRzF16lT06dMHH330EVJSUgJqzxkpG3Ap5zlv6k9JFdHlOM7t7zgyMhKzZ8/G6NGjkZ6eLv5ennnmGUyYMAFDhw51a/0dLLRaLa5cuXJb+6BQKLegQohCodzTKJVKyGQyrFu3DgCqiAcSTDsP0XF++s/zvDgMx34ojX2An5mZic8//9zj+bAsi549e2LKlClgWRY8z4vV6+1fOY4Tq87bYzQa0a9fP+zatcuvgqMA0LVrV7Rt2xbvvPOOX8cDQEJCAhYtWiRpT+2JmTNnYsSIEW7dyFiWRXR0tN+GDIQFCxagZ8+eWLx4MTQaTUBtuYLn+YAs0cvKytwWECVIFSsVBEGy2CkR1oGyYMECdOrUCQMHDkSTJk3QrFmzoLQL3PrOPT1MkBrq6o1hiZQQkho6Om7cOCxduhRTp07F+++/DwDYuHEjIiMjoVKpPPYdDHQ6XUDOkxQKxXuoEKJQKPc0er0ekZGRHuu8BIurV6/i008/9bgPz/OoWbMmOnfu7FcfPM/j+++/h1wu99uyWRCEgGsRBTpHiLRRVlbmUQgFYtFN6NChA1q2bIkRI0Zg48aNAbXlCqnAWoq8vDzo9XqP+0iZbAiC4NGoQ61WB2Sm4EyvXr3QrVs3vPXWW9i6dWvQ2pUSQmq1Wpwn5ApvhJBSqfQoJKSEEMuy+OKLL/DII48gIyMD69evx9KlSzFs2DBkZWXht99+w8WLFzF9+nSP5+EvVAhRKNWHf0URKBQK5S5BpVJVm1mCXq+XdI1Tq9UBixAyHM3fLISv85RcEQwhJOVep1AoAu6D8N5772HHjh23ZW4Fz/MBXc+ysjJxrpG/fUgJIaVSKTl/zVdWrFiBPXv2OBR2DRSp+0qj0eDcuXP4/fffcePGjSrblUolzGazx+yXlBDy5kFB27ZtcerUKfzwww/4+uuv0a9fP9SrVw+1a9fGpEmTMGvWLI/HBwIVQhRK9UGFEIVCuaepTtc4jUYjWvG6IxhCCLg11KmwsNCvY7VarWQgZbVaUVpairy8PGRmZqJu3bpQq9UICQmBTqfDjRs3giKmPLURDJtvQvPmzdGlS5egz2kBAivKarVasWHDBrdze7ztg+d5j5kQIhCCSXR0NNq2bYsxY8bg0qVLQRFaPM97/M5btmyJzMxMtG3bFg8//HCV7WRIq6drpVKpPN7/UvOQAIifNTExEc899xysViv27duHt99+W9J0IlB0Ol1AGUgKheI9dGgchUK5p+E4TjQ7cFdAMZh9yWQymM1mcBznch+VSoXMzMyA+pk5cyaMRqPfhVnlcjm+/vpraLVal45sxLTB3n3NaDRi69ataNiwIRiGwaOPPhqUekaeAk6FQhFUx7958+ahZcuWuHHjBuLi4sT1JpMJP/zwA4xGYxUHPIvFguLiYpSXl1dxxiPvz5w5g/Xr14NhGNE8o0+fPrjvvvskz8lkMiE/Px8nTpzwuJ8gCB4zJd4IoUAK1Lpj48aN6N69O5o2bQqO45CcnIwHH3wQjz/+ODp16uSzm5yUCHnyySfx5JNP4ttvv8WECRNc7sPzPLKzs6HT6Vxul8qIKpVKj9d68+bNePrpp6FWq1GzZk3wPI+4uDiUlJSgRo0aGDp0KL744gu3xweKNw8yKBRKcKBCiEKh3NPIZDIxK3Q7Jso7Q0SDOyGkVqsDFhDE5EBqgr07atSogQceeADfffedS2MIYv/sSTiGhoYGbY6QO6QcxHylQYMG6NWrF1JSUrBnzx5x/axZs/D+++8jNjbW4XoQpzxBEKBUKh2MNOwNM8LCwnDhwgV8/PHHkMvluHz5MoxGI1555RXJcxIEARs3bkTfvn09Gm14I4Q8CR1viv36Q1hYGE6cOAGr1YqDBw9i586dOHLkCD755BPUrVsXy5YtQ6tWrbxuz5tsTFpaGv755x+3YoBlWY8ZE5VK5TFjJJW1ZRgGoaGhyMvLg1wux/79+/HYY4/hhx9+QMeOHT2eezCgQ+MolOqDCiEKhXLPU51CiGEYVFRUuJ3gr1QqAw7us7KyUK9ePVy4cAGNGjXy+XitVguNRoP4+Hi/z4Hn+aDMEfLUBrmWweSdd95BkyZNkJaWhlq1aonrH3roIezdu9evNh999FE0atRIdBDr0KEDMjIy8M8//4gZImK9TmoxkaybxWKBVquVNL2QylIIguAxI8RxnFiIVRAEvz6nJ+RyOTp27CgKgYqKCowZMwYPP/wwhg4diqVLl3pl7KFSqTx+zr1796Jr164QBAHJycku9+E4LiCho9VqPRoyNGrUyMGopGPHjujRowdmzpyJX375xe1xvvDrr7/iwIEDyMzMxD///IPc3FyUlJSgrKwM5eXlsFgsOH/+POrXrx+U/igUimuoEKJQKPc81TlPSGo4VzCEUFRUFGJiYvx+KqzVagOe3yP1VN0bpCbGB3OOEKFu3bro168fUlJS8PPPPwO4JeoCyZbwPO/wndetWxdLlizBqlWrHOozkQybfc0nmUyG7OxsAPA4fFMqUyKVESJFYQsKChAbG+vPx/QJQRCwevVqzJw5E23btkVMTAxmzpwpeZxGo/E45NNoNCI2NhYZGRke+/ZkJKJSqTwKHbVa7fG+dOVMt3jxYtSvXx/79u3zyRHSarXi7Nmz+OGHH3Do0CFcvHgRGRkZsFqtaNCgAaKiohAVFYUGDRogPDwc4eHhqFGjBn777Td07NgRX3/9tdvCsBQKJXCoEKJQKPc8giBUmxCSCt51Ol1QhntJOV95QqfTBZxpCZbznNQQpGC5xtkze/ZsJCcn4/Lly6hTpw40Gk1A94cgCA7f6erVq30q3tqqVSucPHkSRqPRbR0apVLp8TuTEkLA/xlsVIcQIiQmJmLt2rXo37+/V0JIpVLhn3/+cbud/H5sNptDMWP7xWg04siRI6JleElJCYxGIywWC0wmE3777TcYDAbs3LnT5fGHDx/G4cOHMWjQIHEumMlkEreTzEzbtm0diiDbbDb07NkTCQkJ4vmReXdkH/t9zWaz6BhYv359tGjRAj169EDr1q3RtGlTjxm0Hj164MEHH0T//v2xdOlSDBgwwK/vh0KheIYKIQqFcs9TnRbaUkJIpVJ5LHzpLVLOV57QarUBCwy1Wh1wRojjOI9CSGq7v9SpUwfPPvssBg8ejCNHjkCv1+PixYv48MMP8fLLL/vcniAILkWKfQBt/2o0GmE0GmEymWA2m1FcXCxmBrRarYNhBXl/6dIlmEwmHD58WAyyyWK1WnHkyBEUFxdj+/btVYJu8r60tBSTJk1CbGxslSF6lZWVYhaFDLMj60k/+fn56NSpE+RyuTjMz2azOZhH2A//I8cb63nJwAAAIABJREFUjUaUlpaiVatWDudtvw85D5LpqVGjRpXPYbFYxMydfabNfpHJZLDZbJg7dy5Wr14NlmXBcRxYlhVt58+cOQOGYTB69Ogqx8vlcuTk5MBkMolFlMnxpC2GYXDs2DF06tQJ4eHh4nwxlmXx7rvvguM4vPLKK+A4TswE8jwPjuPA87w410ytViMmJgYhISF+3cc9evTArl270Lt3b6SlpWHKlCk+m1NQKBTPUCFEoVDueaTmHQQThULhUQgplUrJgo9SHDt2DIcOHUKnTp38Ol6v13udlSLBe0VFhfjebDajvLwc169fx/Hjx8XAnriumc1mcT/7VxIok/fXr1/Hxo0bER4e7hBwkyfvGRkZePPNN/H11187BM3kvf3TdnvHO/vFfr39e6PRiLKyMsTGxoJlWRQXF2PChAlYtWqVw7nYB+L2Abu9wDAYDLBYLNi4caNDP4DjMDh7Fz7798CtjE6nTp1E50HnhcwL6d+/PwCI7ZHtBoMBcrkc48ePdziO7JObmwtBEKDRaGA0GsXAnZwHx3HYtWsXNBoNBg0aBJZlwTCM+FpaWop58+YhOzsb3bt3F48lQ+5UKhUYhsGKFSvwn//8B9HR0aL5BsMwOHr0KJKTk9GkSRMHccIwDHiedxAaNpsNOp1O/JvnefA8D0EQHP52lzGJj4/HmjVr0K1bN5fb586di23btuHQoUMut3/++eeYM2cO1qxZ4/Z38d5772H48OFV5ug0btwY3bt3R8eOHR2cCW8XTZs2xaFDh9CzZ09cu3YNH3744W217qZQ/m3QXxOFQrnncffE/nbgjRAqKirCmjVrqtg0Ow/RcR6WQ0TEmjVrwDAMdu/ejb/++svhabzzMB779s1mMywWCwoKCmA2m0X7bBK8u7LRBlw/fTcYDFAqlejevbuDm5qzC539q7PjWklJCY4cOYLMzEyXfZDPlJCQ4BBUE0c7IiQYhhHfu+rPeR3ZXy6X48SJE3j//fexYMEClJWVITIy0iFQt3/aTwJ2++Cd53kMGDAAffv2xauvvlrlcxoMBrcOgvbo9XqcPHkSiYmJLre/9tprOHbsmIPbnT1nz55Fhw4dcPXqVZfbR40ahaKiImzcuNHtOfz9999o166d6EroTM+ePfHEE09g8+bNbtvYsGEDXnvtNTRo0MBh/fXr17F9+3a88MILaN26tdvjg4GUyYZUTSW9Xi/57wXHcS7nIbVt2xb9+vVD//79cfToUe9POgDi4+Nx4MABPPXUU+jXrx/Wr18PtVpdLX1TKP/foUKIQqHc8+Tm5uLZZ59Fly5d8OKLL95Wi1upoXGCIMBqteL99993CPrtA3u5XO4gIuwXlmWh1WpRUlKCiooKJCQkODxNZ1lWfHJuv5D1PM8jNzcXKSkp+Pvvv8Wg3V5UOAsHV/z4448YNWoU0tLS/L5Ws2bNwk8//YT9+/e73P7QQw+hT58+ePXVV/3uQ4qaNWti8eLFmDJlit9thISEiMOo7GEYBkVFRYiMjJRsQ0pASw1nlHKN8+ZhgNRcutjYWMl5SO7mdaWmpmLSpEl4+OGHMXnyZLzxxhu3LXMhJYQEQfA4PNUbIcTzvNuhqR988AHq1KmDzZs346mnnvLupANEr9fj+++/x6hRo9C5c2ds27YN0dHR1dI3hfL/GSqEKBTKPU94eDjq1KkDAOjTpw8UCgWaNm2KadOmoUePHkHti2VZySCM53mcOXPG7z6KioowcuRIMAyDJUuW+HW8QqEIaOiON5PzpSDFbt3BsizWr1+P0NBQcX4HwzAO1tPO803sh7GRv0kmzFWGrLy8HPn5+di6dSv69u3r1+dwZyXOsixu3rzplRCSCt7JxH9P5+Dp+/CmfpWUM503wzo9GVx88MEHGDJkCPr06YMtW7Zg9uzZaNmyJWrUqAFBEII2v0XqYYTUtQoJCZEcOupJCEVERAAAhg8fXm1CCLj1e1qzZg1mz56Ntm3bYseOHVUycxQKxTeoEKJQKPc8MTEx6NWrFwYPHgyr1YrDhw/jq6++wjPPPAOO49CxY0e8/fbbQQkavMkIBTpHKCQkBLGxsW6HQUmh0+lEkeCpaKonWJYNihDy1EaDBg3w1VdfYdmyZQ7D9Zzn3Dgvp0+fhlqtxv33319leJx9to1lWZw9exYMw6BZs2Z+fw53mRSO4zxaQdsjZbvO87zH+8aVpbM9Uq5zpI1A57dJCbrmzZvj2rVrGD9+PMaMGYPi4mJUVFTAYrGAYRi0a9cOs2bN8nv+GyD9MEKpVHrMCIWGhkoKIUEQPJqFjBo1KqCHHf4ik8nw5ptvonbt2ujcuTM2btwY0LWkUP7tUCFEoVDueeyDQLlcjnbt2qFdu3b48MMP8dNPPyE1NRXNmzdHVFQUevbsiZkzZ/o9rCTQp9He4s0TfnfI5XJx/oq/RWarIyOUmJiIRo0a4fDhwz6127x5c4wYMQLjxo2T3PfatWtITk5GQkKCT33Y404I8TzvtRCSum+kRKOUwFar1ZJCSKPRIC8vz+8+AO8szxmGwfLly7F8+XJxndVqRWZmJt555x08/vjjOHToEJo0aeKxHXeQe9sdUoIuNDRUsq6UlH29TqerNoMWVwwbNgw1a9bE008/jUWLFmHQoEF37FwolHsZKoQoFMo9j3PBSwLDMOjRowd69OiBkpISfPvtt1izZg1q166N++67D0OHDsWkSZO8muxO4DhOMggLVEB89tlnePfddwMqpEgC1rtZCPlb6FQqI2CPRqOB2WzGG2+8AbPZLNZ3MZlMDtbOxIjC2XiisrIS+/btw9NPP+3y/H2xOJcS0FLXigwLdOWmplKpJLMcUoWHyfw2k8nk9jfhb+0nuVyOuLg4rFixAmVlZUhJScHx48f9ylh6M0fI072r0Wg8XkvShtQwwmDUCwuEbt264aeffkLPnj1x/fp1vPLKK9Rem0LxEffVvCgUCuUewZuJ4lqtFkOHDsXPP/+M69ev4/nnn8fnn3+O0NBQtG7dGhs2bPCqLykhFIyhcdeuXQPHcfjwww/9biPQYqVSwaQ3eJPluN1CiOd5WK1WHDhwAMeOHcOJEydw9uxZXLt2DVlZWSgsLERpaSksFotoVBEeHo6EhATUrVtXzCa5upY8z3tdB0nKqEBKeJJhge6+U28yiFI288Qqu6CgwO0+HMcF7NC4atUq5Obm4plnnvHrt8JxnEcRIvUbJMMnpYbXlZSUeNzuz70bbJKTk3H48GGsX78eL7zwQsD/9lAo/zZoRohCodzzSD3pdiYyMhITJ07ExIkTce7cOXz22WcYN24cxo4di86dO3ucTyQVhAcjk9KsWTOYTCa8/PLLOHDggF9tSA3FkiIYn4NlWUmzBH/68CUYJ4Lu559/9rkfgsViwblz56qslxo+ZY9CofA4b8Ub4ckwDIqLi11m+Vq0aIHr169jzJgxmDt3LvR6fZV9tFqt5D3BcRwKCwvdDh1lWTbgIWEcx+HUqVN44IEHMGbMGHz88cc+ZTLcmVcQvJnrROZsqVQql9tVKpXHOUJS85Cqk5o1a2L//v2izfuGDRv8zgRTKP82aEaIQqHc83gzUdwd999/P+bOnYvs7GysX78ecrkczZs3R61atTBmzBjk5ORU6UvK5jhQAdGnTx+sWrUKhYWFfrehUCgCGrpDMimBwHGcxzakMkauyMzMxPnz570WecSFbujQoRgyZAjmzJnj8+dyd3/5IoSk5rVIDY0DPJszNGrUCGfOnMGBAweQmJiIL7/8EjabzWEfb+YRcRzn8TNxHBeUuTFhYWE4cuQINm/ejHnz5vl0rFR2zVtR6akNqexZMH7nwaCyshKlpaUwmUxYsWIFFAoFHnroIVy/fv1OnxqFck9AM0IUCuWeRxAEn+ZquEIul6Nbt27o1q0bSktLsXXrVqxcuRIJCQmoVasWBg0ahKlTpyIiIgLXrl1z2w4JaD3NP/CGQIfeBEMIBTrMRkro+JN1GjVqFDIzM9G4cWOv9pfJZHj//fdx/PhxsCyLuXPnQhAETJ482es+NRqNy6BZEASvRYGUEPJmSKWUSKlbty5Onz6N1NRUvPTSS/joo4+wevVq3H///QBuTfD3pn6O1NC4QDKN9iQkJODHH39Ely5dkJSU5LUVtZQNuLdCqLy8XLRity9YTMRFcXExrly54lAQmbyePHkSRUVFWLRokeiKd+bMGWRlZYn7FBUVoby8HBzHOdQQKyoqQklJCXieB3Dr3x77Qsf2DorOfztvA1ClRll5eTmefPJJHDt2zMtvgkL590KFEIVCuedxZ5bgLxqNBoMHD8bgwYORk5ODjRs3YuXKlZg3bx5iYmKQkZGBq1evIjExscqxxMq5tLQUOp3Or/5v3LiBDz74ICAhE6gQqo45Qv6IPYZhMHbsWAwbNszrYyZNmiS+7969OyZPnoyJEyd6LVTdCSGlUulx+JQ9LMtKzmuRut4sy3rV38iRIzFkyBAMGTIELVq0wJgxY/DWW29Bo9E4/E6sVivKy8tRUVGB8vJyGAwGGI1GHD9+HDzPw2g0wmQyoUePHhAEAcCt679nzx40b94cZrNZFA/kvdlsRmJiIh599FGvrkurVq3wySefICUlBVFRUejQoYPkMVqtFqmpqTh+/LiDOCHvi4qKUFZWhqioKHG9fW0qq9UKhmFQr149AHBp0U6uU7NmzSCXy6tYupNrtXbtWrAsC4VCgVq1aqFDhw6idXtsbCzCw8NRXl4uXhuTyYSaNWsiKSkJJSUl4nk5F1b2tNgXYnZ1D5eUlKBmzZooLi72+98gCuXfAhVCFArlnieQoXFSREZGYty4cRg3bhwuX76ML774AitXrkSTJk3QqlUrzJo1q4q7G8MwAQmho0eP4sSJE/jggw/8Pu9gDY2rrKwEw/j3X4WUEFKr1VWyIKRPk8mEiooK8b3FYoHJZEJZWRkuXLiA3377DUajEWazWXy1X0wmk/hKAnWyLicnB23atEGHDh0cAmj7gqz2AfSZM2dw8eJFzJ0716HI65EjR3DgwAH8+uuvLp/W26/LyMjAG2+8gU8++QRmsxlyuRw2m01ciBCJj493WG+/FBcXo0+fPoiIiIDNZhODepIZsFgsVc6hvLwcH330ERYtWiReazI3y2aziZkE+2XhwoVYunQpGIZBZmYmpk6divnz5wMATCYTTp8+jfHjx4uiwD4jkZeXB6PR6DGr5Myzzz6LK1euoE+fPjh+/DhCQkLEe4F8LyaTSfz+atasibCwMIwYMQIMw4DjOPA8D47jwLIsWJaF1WqFTqeDUqmEUqkEy7JisWNBEFC/fn38+OOP6Nixo8tzmjJlCs6cOYOdO3e63L5gwQJs2rQJR48e9fpzVhdarRbt2rXDjz/+6NLtkEKh/B9UCFEolHseb1zjgkGdOnXw5ptv4o033sCJEyewcuVKPPbYY9Bqtbj//vvRvn17tG3bFpWVlTh//jyMRiMqKipgNBphNBphMBhgMBjEgM7dsJeDBw9Cp9NBpVJh+fLlYtArtdgHwPn5+Zg9ezb27t0LnU6H2NhYJCYmomnTpl4JNJlMBoVCgeLiYoSFhfl1vYh1tTtUKhVKSkrEwJUE/K4KqpK/yXk9/vjjYgBOnpLbB/X2T87JOvLknuM43LhxQyy26rw/wzAQBEE8rri4GOnp6di2bZtD8G8wGNCyZUv07du3iphwXpYvX47z589jzpw5MBqNYnBO2rt8+TKmTp2KTz/91KXAUCgU6NatG55++mk8+uijYBhG/DwMw0Amk4HjOPGVZVnxMxFBevr0aaSkpCArKwscx4nHeWLAgAEOc9Xi4+PRoEEDpKamutx/3759eOaZZ3y+V6ZPn45PP/0USUlJYvbJ+T5QKBTi9z9w4ECMHz/e534IUvbX7rKABG/mW91JevfujW3btlEhRKFIQIUQhUK555GaPB1sZDIZWrZsiZYtW2Lx4sXYu3evuKxcuRIWiwVdunSBUql0CIbth7fYD7dxtURHR2PJkiXi3yQotl9crbO3Wf7zzz9FG+DCwkLk5+ejsLAQHMdBo9FAo9FAr9cjPDwc8fHxqFu3Lu6//348+OCDiI2NBcuyKCws9FsI6fV6j85aarUaCoUCN2/edLhOt7sWSt26dfHf//7X6yDx/PnzaNOmDQ4dOuSwvmHDhhg5ciRSUlIk28jNzcW6devc9pmeno7XX38dXbt2ddtGfHw8WrZsiSeffNKr83bGZDJBJpNBrVZ7fYyzIyPDMB6/U41G47eb2vTp0/HGG2+IE/2tVitOnjwJq9WKFi1aBPW+UCgUHkW6IAiSQuluF0JvvPFGQBldCuXfAP11UCiUe57qygi5gud5PPbYY3jsscfEdREREfj666/dDrupDiZPnozffvsNu3btclhvtVqRk5OD9PR03LhxAxkZGUhPT8e1a9fw3XffYcWKFcjKyhJFVseOHUXDiAYNGqBZs2Zo06YNIiMjJc9BysZYpVKhsrLSrYXx7YJhGBw8eBBJSUlo2rSpZIDtbv6O1Lwf5zakAm+pOUI8z3s9J8kVroYiSiEIAvLz88W/pVzjtFqt3yYfTz31FIYPH47Bgwejffv2mDdvHoqLi2GxWFCvXj288847eOSRR4IiiMjwVXdI3btarfaOF1T1RHx8PBISEnDo0KE7+u8QhXK3Q4UQhUK557mTQsgVPM8H7GIXKCEhIcjNza2yXi6XIzo6GtHR0WjVqpXLY202G3JycpCYmIinn34a0dHRuHDhAnbv3o2VK1ciOztbLD6q0WgQGhqKmjVromHDhmjRogVatWqFWrVqiULHHTqd7o4UpUxOTsbnn3+OZcuWYe3atRg4cKDH/T0JIV/qGXm6Ft649Em5pUnhj0ghNZuIA1pJSYlkls8XsWU2m/Hnn39iz549+OyzzwAAO3bswMmTJzFixAjMmDEDJpMJL730Ep599lnUrl0b27dvR2xsrE+fw9XnknLxc3WtKisrUV5eDqVSGZC9fXXQp08fbNu2jQohCsUDVAhRKJR7nrtRCHmqSl8dHDp0CHXq1PHrWJlMhqioKERHR6N9+/ZVbI2JULp+/TrS0tKQlpaGy5cv47fffsO6deuQlZUFm80mDsF6/vnnUa9ePdSuXVtcwsPDvSp8eTvYuHEjAGDOnDl45ZVX8NRTT3kcPuROxEhZYnvTBkGpVEpmhHwtHOyMTqcTTRLcZVVeeuklLFmyRJxXRM4pIiICcrkcJpMJSUlJWLNmDXQ6neieRubD3bx5E0ajEdOnT3cwOLB3lrNYLGjXrh1yc3NF84i4uDiMGDEC48ePF+cIEQRBwCeffIIVK1bg8ccfR+PGjXH48GHUrVvX72shVUdIEARcuXJFNA1xnsNms9nu+iFnvXv3xqBBg7BgwYI7fSoUyl3L3f0rplAoFC+424QQmZdzJ+F5HjVr1gyoDaVS6dL9iwilqKgol1klm82GoqIiXL58Ga1atUJBQQE2b96M/Px8FBcXi7bBkZGRMJvNaNq0KWJiYpCUlIQ6deogKSkJsbGxUKvVUCqVYBhGDKaJ+QQJqonFMwnayd9Go1EMvktLS1FYWIjTp0+jpKQEoaGh6NSpEwRBQE5ODp599lkkJyeL515RUSFmPeRyueg49/vvvzs41eXm5uLAgQNISkqq4lhHXO7InJz9+/cjPT0dzZs3d1sfhuM4tG7dGjKZzMH44uLFiwgLC0N6ejp++eUXrFu3zqWrnNFohMViAc/zDusBiM5yNpsNUVFRVeykLRaLOLesX79+WLp0KTQaDQRBAMdx4nf7+uuvY+7cuZg/fz4MBoNoukBeWZYFcEuI8zwvurgRswqWZfHll19ix44dSE5OxvTp0zFu3Div7ke5XI6dO3diwIAB6NWrF/744w+/h1UyDONRmAqCgIiICJw8ebKKmYbNZkNubi5q1arlV9/VRfPmzVFaWorz58+jfv36d/p0KJS7EiqEKBTKPY/UxObqRhCEgOZyBAO1Wh3wOahUKty8edPn42QyGUJDQ9GyZUvI5XJ89tln0Gg0Dvtcv34dhw8fxsCBA/H888/j0qVLuHz5Mn799Vfk5uaitLTUwcLa2STC2VGNmCy4coE7f/48NBoNBg0ahLCwMFy/fh1fffUV5HI5GjVqhPT0dGRlZYnnzvO8w9N+IiY6d+4sBvUKhQJZWVm4fPkyzp4969IpjmEYWK1WmEwm/PXXX1AqlRgxYoTD+du72g0ePBhdunRBWFhYlXZiY2MxZ84cWCwWvP3221WKaBKRkJqaiq1btwKAaMphv0+jRo2wZs0ahIWFOVhOC4KACxcuYODAgdi9ezf27NmDoUOHVvluGYZBp06dsG/fPrffP8Mw+Pbbb0UbbGcKCgqQlJSEhQsX+nRfEdavX4/77rsPH3/8MSZOnOhXG1L28kqlEgBcOiwScXsnspm+IJPJ0KdPH3z33XeYOnXqnT4dCuWuhAohCoVyz3O3ZYRUKtUdF0Lx8fFVXM58Ra1WBzzXiWVZFBUVVRFCCQkJSEhIwMCBAzFmzJjb6hRXv359vPXWW3j22Wf9boNlWVy5cgXh4eHiur59+yI+Ph5Lly6VPP7nn3/G0KFDPWY/nn/+eTz33HNuh3xt2bIFJpMJjz/+uMvtJpMJa9euxYMPPui2D57n0bZtW5dOgLVq1UJeXh6+/PJLjB07FsuXL8e2bdscPjPP85LzjBiGQXFxsVsh5EshWlfI5XL07dsX27Zt81sIeVPgVmooo71Iv1vp3bs33n33XSqEKBQ33L2/XgqFQvGS6rbPlkIQhIAmtQeDsLCwgI0INBpNwIKOCCF3yGQyybkxgeKLqYE7OI6rkh1TKpUeHdTs8cYMwVUfzv15us95npe8llKZEJlMhiFDhuDSpUuIjY1FnTp1HAr7epN9lZp/E+hcJ+CWK+KhQ4f8FupSZglSc7bsbervZrp06YI///wTeXl5d/pUKJS7EpoRolAo9zwqlequEkK+BMi38xwCHS4YjMyWIAhuhRARBgqFIqA+pGAYJmAhxLJsQELIG2MIKbdBKQHhjQW3lBAiEAv4bdu2YcSIEVizZg22b98OpVLpVUbI04MApVLp0tHQFxISEhAVFYVt27Zh8ODBPh8v5cAnlREC/i/zZZ/tJEMhyfwuUuDWZrOhvLxcnJdVWVkJk8mEtLQ0mEwmGAwG5OTkoGvXroiKisLhw4eRlpaGyMhI0XTCfv6b/bqKigpx7hx5b1/IubKyEqmpqXj11Vd9vk4Uyv93qBCiUCj3PMF4whxMgjE/J1BUKpXfhS0JwcgIeXLQKygoAMMwt72AajAyQq5q+Gg0GpdmEq7wRqRwHOfxeguC4PE7JU5vnpAqJOpM7969cenSJUyePBmNGjVC69atJe8rIhqLi4thMpnEoJwE7jdu3EBmZib27t0rmk80atTIZ5fD+++/HzNnzoTBYBDFBTHVIAsxr7A3s6isrMTBgwexb98+ZGRkOLjaEUOOq1evory8HOHh4Q7GFfYGFyaTCTVr1oRCoRC3ARCLIAMQxZBMJgPLsg5Fk4m5R3R0NFiWhVKpxNixYx3c+mrXrl1l7pm9+QQxquB5XlwEQYBerwfHcdi4cSPi4uIkLeIplH8rVAhRKJR7HjJcx2Kx3PbsgjfcDXOEVCpVwEPj9Ho9srOz/T6+rKwM+fn5SEpKcrk9Pz8fPM/73b63eBoGVVFRAblc7uCMZrVakZWVhaysLBgMBpjNZhQVFeHEiRMoLCxEZWUlcnNz8ffff+PcuXNYvny5GCDbmzzYB99paWkwGo1Yu3YtKisrRUc3EnxbrVakp6fj9ddfx4oVKxzc3Mj706dPw2w2Y9KkSaINNXG1s1gsuHTpEgwGAxo1aiQ6zzk705lMJnTv3h1ardYhwCdLcXGxGGRbrVaUlZXBYrFAEATI5XIcP34cZWVlYBhGdKdzJRK6du0KuVwOmUxWxdyiuLgYNpsNgwYNEn+vhYWFOHfuHBISEiS/z507d+Kjjz7C/v37ERERgQ8//NCtkQbDMOJChAPDMOjWrRtsNhu0Wq3oZseyLDiOgyAIuHr1Kj7//HMcPnzYoQ37tmrXro0tW7agXbt2DoYU9sK+devWePrpp13O0Zk4cSIuXryI7du3i+vKysrAsixee+01bNu2DRcuXPD6PrenrKwMTz/9NJo3b46NGzeKVvYUCsURKoQoFMo9j1wuh0qlQllZmUuXp+omGEN/AqWiosLBhplYQtvXdiFP6O3fa7VaZGdnQ6X6H/bOOzyKav3j39ndKduyKUAghBJKKNKMFOWiCEhvwlWRyL0IUgUreq8CchWuUgRRr4IgioiAqKBYaBIpSo9UDS0QmoQEEkLqtuz8/sAzv9nN7szsbgKrns/zzLPZnZlzzswuD+933mbCyZMncfLkSXzwwQdSOWh5aWj5E3Z/T+NPnz4Ng8EQMPk/KysLDocDLVq08GuUy41r+SvZlN7Lx3A6ndi1axf+85//SGWkSa8acp9IWWRyjsFgkEp3l5SUwO12Y/bs2eB5HmVlZbhy5QoaN24Mi8WChQsXSk/5BUHwqgRHDOzvvvsORqMRr732mpdYl1e8u/3223H77bfDZrN5jUH+PnHiBFwuF44fPw6WZaHT6aR+NjqdDna7HaWlpXjuuecAwKtiHPFGPProo+jZsyfatWvn18B/9tlnUadOHbz00kuSR+Hzzz/Hpk2bwLIsioqKMGLECBw/fhwvvvgixowZ43ccpQICXbp0wd13343p06dLn40cORLdu3fHsWPHFM89f/48Bg4ciD59+uDEiROahFMo7N69G9988w1atGgR8Bir1Qq3212h75EcpRA8k8lUIbTSbDbj4sWLWLBgAQ4dOhTS2q9cuYK+ffuiRYsWWLRokVTSnEKhVIQKIQqF8qfA4/Fg//79iImJQUlJCRwOB0RRhMVikYxb8nSBrNmYAAAgAElEQVTd5XLB4/FIBrs8bl/+Guhv8gRfPqa81PPy5ctRXl6OUaNGeT3RJ+EwvuP6vrfb7SguLoYoil6fkzWTppjyz33Xw/M8SkpKJKNbXn7atxS1/L3T6YTVaoXT6URJSQlsNhvmzZtXodQzebouN9R9P5PP74/9+/ejevXqePbZZ/0a077jBypRTa6DhAyRMCQiFlq0aIHXX38dgwYNkkLx8vLypDLf8p4/ZF6O46Qn+wcOHEDPnj2lEtu5ublITEwM6mn9888/jyNHjmDTpk0h/8avXLmCrKwsfPPNN37379ixAw888ABGjBgRcIwnnngCw4cPR8eOHf3uX7x4MZo1a4b77rsPAHD9+nV89913aNOmjXTMsWPHsHr1akyYMAHr16/Hxx9/HNDr5w9/xUTeeecdtG3bFl27dlUszU1Ex9mzZzF//vyQS3CrQf4NKKGlcbLJZAp4jNVqVcwxC6UP2JkzZ9CrVy889NBDmDFjRpWHnVIof3SoEKJQKH8KevbsiTFjxiAqKgpmsxkcx0Gn06GoqKhCzxliIMuNbXkYja+h7WuMy41vjuO8ztXpdHjqqadgMBhQs2ZNr1Ad+dP7QPPo9XqsXr0a6enpGDdunNTnRR66Q+ZkWdarFwzJFRAEAXXr1sW5c+dQp06dkI2h+Ph4fPnll2jfvn1I5x8+fFgyqP1x8uRJdOvWDSNHjgxpfK2QPjzy8KBatWp5HaPUmNNXzEVHR0vhbVrvrdlsDjtPSa0AhpaCDGrFEojHixAot2nIkCEYOHAghgwZgtatW+Oll17Cc88959V/KRD+qjyaTCZs374dHTp0wB133IHdu3d7hSsSatSogcuXLyM2NhaHDh2qMiEUFRWlei+1VIdUKqhhsVj8iq3ExEQkJibi888/VxS1vhw4cAD9+/fH5MmTMWHCBM3nUSh/ZagQolAofwrWrl17q5dQaRw5cgQsy2LUqFEhjyEPuQoVp9MJm80W8vlqeUpnz55F7969Qx5fK8TTFSq+AoN4i1wul19jPdAY4RavUCuWoCUvTEsjUblIUSrJLQgC1q1bh23btuGRRx7BRx99hBUrVuCOO+5QXEOg4ibVq1fHwYMH0bdvX9xxxx04evSo3/NjYmIwfPhwbN26VXGecIiOjla9l1o8QkajEadPn0ZaWhquXLkCh8OBsrIy2Gw2HD16NKBIateuHbZs2aJZCH3//fd45JFH8N5772Hw4MGazqFQKFQIUSgUSsRRGeXA9Xp92GO4XK6wkqxJwn0gioqKEB8fH/L4WtHr9WGJEH+llElJbq1CSBCEsItXqDUztVgsmqrGKd0Lnue9hJKWSnT33nsvLly4gHHjxuGee+7B6NGj8eqrrwb87QiCEFAA2Gw2rFy5Es2bN1ec8/Lly1Uqosm9VGqYKgiCalEUQRCwdetWZGRkwGQySYUWSJ5ZXFyc3/NSUlLw6aefalrrJ598gkmTJmHNmjW4++67NZ1DoVBuQBuqUigUSoRRGeXA1ZpaakGn04XV7JQUIFAaP1xxoHUd4dwLf801gx2zMoQQx3GKY2jt8aMUouebwK+lSStw47tcvHgx0tPTsWHDBjRq1AibN2/2e6wgCIprsNlsqtexe/duPPbYY6rrChUS+qrmPVPzCJnNZvTq1QsXL17EyZMnkZGRgcOHD+PkyZN47733Av77SE5OVm2CKooi5s6diylTpuCHH36gIohCCQHqEaJQKJQIozIaslaGR0hr802Cx+PBqVOnpHLOFy5cUFwDy7JhN33VgsFgCGsef7k3wd7fyhJCSqJEEARF4Qmof6dms1lTjlAgmjVrhhMnTmD69On4+9//jr59++Ldd9/18nyo5TqpXWdhYSHKyspUQ/DChfxujEaj3/2+98ofJpMp4LUqNW1t2bIlrly5Arfb7TfvyuPxYNKkSdiyZQt27tyJxMRElauhUCj+oEKIQqFQIozKCI2rLI9QMAJi27Zt6NatG2JjYyVvkpKBFq5A0Uq48/gTMcHeX57nVZPv1cjJyUFmZiaSk5O9yobLy35zHKcYzqUWGmcymby8NVo9Qr5MmzYNY8aMQf/+/dGwYUO8++67SE1NBcMwFebwhYivQCLg4sWLsFgsimW2KwMtHiG10Dij0RjwWm02W8DfUFJSEmw2G9atW4e///3vXvscDgeGDx+O7Oxs/Pjjj4iOjla5EgqFEggqhCgUCiXCiJTQuFByaxITE3HhwgVNx95Mj1A4FduuXbsGg8HgJTD0en1QY/oLrwuWS5cuwWazYcaMGRXKn5PXPn36wG63B6yCpyYKK0sIAUDNmjWxf/9+LF26FE8++SQWL16Mjz76SLXoAyljXlhYiNjY2Ar7c3JyAnppKhOHwxFUGKE/lK41Ojo64HeRlZUFq9WK7777zksIXb9+HYMGDUJsbCw2bdqk2MOIQqGoQ4UQhUKhRBiVIYRYlq2U8LpghBDLskEZzRzHhV1SWgssy4Y1T0xMDIAbIVnk6bvH40GnTp1QvXp1iKKIoqIirF69Gt27d/c7hlIYlFYEQUDbtm0xZMiQgMdwHIfCwsKAQkhNfPqGcgUbGuePESNGYMiQIXjggQfQokULtGrVSjVMkOM4XLt2za8QMpvNNyW3jPT0CoTZbJZ6SwVCKW8rNjY24L+vqVOn4uTJk145SNnZ2ejZsyc6d+6MN998U7FHF4VC0QYVQhQKhRJhRIpHKNiy02pV4nzhef6mCCEt/V6UMBgMEAQBFy9elITQ1q1bcfz4cakH1Pjx43H8+PEqF0Jq94s0slXar/SdWiyWCkIo3HUDNwTW+vXrkZaWhr59+yIpKUnxeCKE/NGyZUuUlZVh+vTpmDZtWthrC4TVasXy5cvRtGlTqWGyfFu/fj3Kysrw6quvwu12w+FwwO12w+Vy4cCBAygqKsKFCxfgdDrRokULqQqdy+VCaWmp9Pu/6667pLw6l8sFt9uNEydOYOrUqRg9erS0nk2bNuHo0aNYu3YtFUEUSiVBhRCFQqFEGFoMXjVIid5wCNYjRPJTtOKvsWZVUBmeJ57ncf36del9q1at0KpVK+n9a6+9pngtlSEotFaFO378ODweD5xOp5RrQwzs/Px87N69G19//TXsdjvsdjucTifsdjscDgd27tyJU6dOYd26dXC5XLDb7XC73Vi6dKk0hq/RLh/f5XLhwoULyMzMlHKXiAAgf1ssFmRnZ6N+/foV8pzIq91uD5h/YzQasXnzZvTo0QM6nQ5Tp04N674GQqfT4cMPP4TNZqsQiqjT6WA2mxEVFYX169dLDY5JY+WdO3fi6aefRsOGDaXPyJaeno4lS5Zg0aJFuP/++9GnTx+YTCapITLP8zCbzbj//vu9cqQeffRR2O12dOrUCZ9++inuvffeKrluCuWvBBVCFAqFEmFwHBd2802O48IOjQvWI+Sv2hcxaktLS1FSUiIZ3E6nE7m5ucjPz8fJkyf9PnGXG9dkI/uIge97rK+B7nQ6sXfvXuzduxdpaWmSoU3WJjfAfQ1y+VZWVoYBAwYgKioKHo8HLMuiZs2aKC8vhyiK2LdvH/bv34/Vq1dLBj/ZRFFETk5OUCLRH1oEMsuy6NevH0wmk2SwMwwjNdfNy8vDqVOncODAAamnjfyV5EM9++yz0vnx8fGYO3euJAKOHz+OGjVqICEhQWrcazAYpNcdO3agfv36ePzxxyXjXz7PyZMn8corr2DlypVe4oKMwbIs7rrrLsU8oLvuugubNm1Cz549YTQaMWnSpLDurT/MZjNWrlyJzp07B31ubGwsHnvsMTRr1qzCviZNmmD58uUYOHAgatWqhRYtWmDQoEGaxh03bhwaN26MIUOG4NVXXw2r6TKFQqFCiEKhUCIOjuNw/vx5PPTQQygvL/d6si8XAv6etpO/L168iBdeeAGbN2+G2+2Gx+ORXslY5Fj533ID/sqVKxgwYABq1aolGfTyeeXVyojg4XleKixASjnLE/rJptPpUFBQAEEQ0KFDB8lglxvu8s98n8bLj/HdZzAYoNPpwLIs9Ho9PB4PoqKikJqa6vd8+bnkPUnYJ8cNGTIEjzzyCAYMGACXy4VnnnkGx48fx1NPPQWWZdG7d2/o9XpYLBZJELAsC5ZlwTAMDh06hJUrV4b1u1ArOw3cEEKbN28OGKI3Z84crF27Fnv27PG7PysrC23atMHp06cDztG8eXNMmjQpYB+f++67D+3atcOECRP87s/MzMTrr7+OPn36BJwjPj4ehYWFAfcDQMeOHbF27VoMHjwYTzzxhObmtloxGAwhP0xQCk2VF6Do2rUrVq9erVkIAUC3bt3w448/ol+/fsjIyMDrr79OQ+UolBDRLIQYhtEDSAfwmyiK/RiGmQjgaQANAVQXRdFv5y+GYWYD6Pv72xmiKK7+/fMkAJ8CiAVwAMA/RFEM7xEohUKh/AkgBl1UVJSXQS3fyJN2YnT7bgsWLMCJEyfQuHFjSRyQsYhIYBgGLMuC4zivJ/tkjieeeALDhg3DwIEDJVHBcZzXGshnHMchOzsb9913HwoKCiQRQUSHPz7++GPMmjULGRkZVXo/hw0bBr1ej2eeeSbkMZo0aYK2bduiX79+AIDOnTujV69e+Oijj/Dzzz+rljBu2LAhPv7445DnB254KNSEEMdxiiWd1QpaaKkSx/O8okBQC3nkeV7VO8bzvKoQAoDu3bsjMTERc+bMqfQQOZZlQ84tUxJR8lLqbdq0wUsvvYQ+ffpIHkzy6nK5MG3aNL8iKTk5GXv37sWDDz6IAQMGYNWqVYiKigpprRTKX5lgPEJPATgGgPxL2wngWwDbAp3AMExfACkA2gDgAWxnGGaDKIqFAGYDmC+K4qcMw7wH4DEAC4O+AgqFQvmTYbFYwHEclixZEvIYly9fxrp16zB//vyQx5g+fTo6deqk+OReDsln0FrSV6fTqTYArQxMJlPAxPtgxpDnCKWnp6NGjRrYv38/atasicOHD6NJkyYBz1cqlawVo9GoGqqoFhKpNoaWXCaO4xQFghYhpDaH1WpFbm6u4jGEl19+GaNHj0bDhg0xdOhQTedogeO4kHPY1IQQEYImkwkmkwlNmzYFy7LgeV7KFVq0aBG+/vrrgN6imJgYbNiwAU8++SQ6duyIb775RrUIBYVC8UaTEGIYJhE3vDqvAngWAERRPPj7PqVTmwPYLoqiG4CbYZjDAHoxDPM5gK4AUn8/bhmAl0GFEIVCoYDnebhcLsXGmGpoSaxXQ6/XBzVGsFXjgi23HSpmsxmXLl0KawyTyeRVynj9+vXYunUr2rdvj3379qFp06ZYuXJlQEPcZrOF/X2YTCZVIcTzvKLx7i+Py/d8te/EaDSqeoSURJ+WOaKjo3HlyhXFYwhDhgyBx+PBmDFj8Oyzz6JGjRpo2LAh7rjjDvTs2RNt27bVNI4vZWVleOqppzB16lQp/NPhcKB79+5YtWqV4rlKoXHykuQcxyEhIQFvvPFGheN++eUXlJaWorCwEHa7HWVlZVKOXVlZGRwOBxwOB5o3bw6DwYAGDRpgwYIFSE1Nhc1mC+maKZS/Glo9Qm8C+BcAa5DjHwbwH4Zh3gBgAtAFQAaAOAAFvwskALgIoHaQY1MoFMqfEoZhpNK6gfrBqKHFe6BGVVeNu1nls41GY9jzmEwmr5Azs9mMO++8E2lpaVi1ahVSU1OxevXqgEIoKioqbCGkRdyqeWvUxKeaUALUPT5Go9HLe+bvfDWPkJqg82Xo0KEYNGgQdu3ahYyMDBw5cgTffPMNZs2aBZ7n8fjjj2P69OmaxwNufGdNmzbF008/LYWMrl69GmlpaarnKn0PJpNJ+h6V7oVer8dnn32GNWvWVMizI2Gper1eEkbx8fF444038Pzzz8NoNKJRo0Zo2LCh12ujRo1QrVo1tYfYFMpfBlUhxDBMPwC5oij+zDDMvcEMLoriZoZh2gHYBeAKgN0A3AD8/Qv0Gx/BMMwYAGMAoG7dusFMT6FQKH9YeJ6Hw+EISwiFa3gbDIagPULBeHguXbqkKQ8kXMxmc9hlus1ms5cQkouroUOHqoZkWSwWeDwePPDAAwDgVbiCFJ7IzMyU7p9v1TpRFGG321VDCdXCudRECAlvdDqdAYsPCIKg6BEymUyKjUaJYHa73V7loeWoeZ0Cratr167o2rWr9Jkoivjuu+8wbtw4rF69Ghs3btQcPma1WtGpUyf07NlT+iw3NxdffvklNm3aJFUytNvtXlUNnU4n8vLykJ+fH/DayPcvCELAf2NNmzZF+/btsXfvXsV1FhQUICkpCTNnzsSIESOkKoWnT59GZmYmMjMzsX79eulvj8fjJYzkf9eqVStkLzSF8kdEi0fobwAGMAzTB4AAIIphmE9EURymZQJRFF/FjZA6MAyzEsApAFcBRDMMY/jdK5QIwG/cgiiKiwEsBoC2bdtWfTA5hUKhRADh9hIixlY4GAyGoPJatHgT5MTHx6NatWqhLC0oLBZLpQgh+RN+LWFqcki/m8uXL0tV7eRP9hmGwebNm7F06VLUqFGjQjU8vV6P3377DY8++qjiPAaDAcuWLUN+fr5U4S81NRXt2rUDoP4dkSp5xcXFiI2N9XuMmkdILTROPkegIhOV1WOKYRj069cPJ06cwPPPP4+WLVviueeew8svv6x6rm84JACcPn0a2dnZGDFihF/vDHl/9epVbN++HRMnTqwwLvlu7Xa7V5icL1q9utHR0XjrrbcwadIk/OMf/4DBYEDNmjVRs2ZN/O1vf6twfH5+PjIzMyWhtGPHDixduhSZmZkoLCxEgwYN/IqkOnXqBBSuFMofFdVftCiKLwJ4EQB+9wg9p1UE/V5pLloUxTyGYVoBaAVgsyiKIsMwWwE8gBuV44YDWBfaJVAoFMqfj3B7CVWWRyiYNRgMBoiiqPikX06wwilUtFRbU8NoNHoZxUpP8gMxY8YMxf0LFixAjx49kJCQ4Hd/Tk6O6n19+OGH8cUXX+Dw4cPQ6/XYsWMH9u/fj59++gmAtvwcg8GgKISMRqOiSDGZTKoihmVZRSFEPKKVhdlsxoIFC/Dggw8iNTUVS5cuRUJCAkwmE6xWK2JjY9GhQwcMHDgQNWvWBHBDQPt6LE0mE9q0aYODBw8qzjdp0iTFaog6nQ6lpaWK/waioqI0i8Fhw4Zh/vz5SE1NxWeffaZ4bGxsLNq3b4/27dtX2FdUVIQzZ85IQungwYP4/PPPcfr0aeTk5KBu3boVRFLjxo2RnJysaZ0USqQRsrRnGOZJ3MgbqgngCMMw60VRHMUwTFsA40RRHAWABfDj77GohQCGyfKC/g3gU4Zh/gvgIIAPwrgOCoVC+VMRbv6M0WgMW2QEK4TIk/7S0lJNpXy1GOWVgdVqrZQcIXmoVmV43HzR6/WK69QiHD0eD3JycsCyLERRRElJiVfellYh5OsJkWM0GlFQUBBwvxYPnMFgwPXr15GYmOh3v9lsRl5enuIYodClSxecOnUKX331FS5cuIDi4mIUFhYiJycHb775Jp588kksXrwYw4cPh9VqrZDrZLPZNJXUtlqtiqF9LMuiqKhI0SNUUFCg2FRWjk6nw+rVq5GSkoIvv/wyqL5Evutu3bo1WrduXWGf3W5HVlaW5Ek6deoUNm7ciPT0dLz11ltITU31MyKFEtkEJYREUdyG38tli6L4NoC3/RyTDmDU73/bcaNynL+xzgCo+DiCQqFQKGEn+MsTskMl2IR1AFLIkxYhZDKZKl1M+MNsNoddOMLXuK8Mj5scp9MJURQVvSBacrC2bdsGABg/frwUUidvrqpFCKn1IlLzCFkslrD7HanNEQ4WiwXDhvkPbFm7di2GDx+Ojh07Ijo6GmfOnPHaHxsbq7hugsFgQFZWFpYtWwaXywWn0yltLpcLZWVlmDZtGgoLC3H16lU8+eSTUo4RqRj5/fffIzc3F/PmzZOaKJNwR98xy8vLpfMHDx4Mp9MJlmUr5X4RBEFAs2bN0KxZM6/Pv/76a8ycOZMKIcofEhrsSaFQKBFIuIZgZXiEOI4LOjzJYDBobkIZFRUVtkDROk+4HiFBELzWqqXyWTBMmDABRUVF0Ov1AY/R0ojUZDKhXbt2GD9+vN/9Wir7cRwXsIgFKeleVFSES5cuweFwSCWdyXbixAmcO3cOX3zxhbTP6XRKr06nE/n5+Zg1axYaNGggFRqQbxs3boTD4UC/fv3gdruljYgBUpAgOjq6QtEJUura3yaKIsrLy+F2u1FWVobRo0fj7bf//5nu4MGD8cEHH0ihXvXq1fO6/s8//1zRG0Y4cuQILly4gJkzZ/ptegwA+/btk7yo586d82porNPpcPXqVQiCgNWrV3vlizEMU6HRMhm3V69e2LJlC6ZNm4aZM2cqrnHhwoX48MMPJXHmdrul7764uBg6nc5v/6vatWtjz5490vs+ffpgwoQJOHz4sF9PEoUSyVAhRKFQKBFIZQihcA31UPKUWJbVLITq1auHwsLCsPolaSE6OhoFBQVIT09HeXk5HA6H9FSdPIEnT9TlfxPj2u1247vvvkNmZiZmzZoFt9uN/fv3IycnB1OmTJGM9MuXLyMuLk46Lzc3FzabTaqQJn8l4xLjfe/evTAajVixYgUcDofkFZAfV15eDp1OhzZt2gD4/8pyxMAXRRG//fYb9Ho9kpOT/e4vKiqC0+lE7dq1KwgE8rfb7Ubfvn2lvlC+G3AjDDIpKcmrSAAx5Enfm+eff14y2H1fAeDAgQOw2+1gWRYcx0Gv10t/k4qJjRo1ks7hOE4y+MvKyjBjxgzMmjUL0dHRXmJAvsnnlAsNk8mEefPm+c31SU5Oht1uR//+/fHaa69h8uTJ0ne8ceNG9O/fX/U3x7Ishg8fjo8++sjv/lq1auGdd95BQkIC7rnnHqxbVzFNOikpCT/++CO2bt2q9acO4IYIu+uuu/D3v/89YA+lX3/9Fc8//zyefvpp1K1bFzzP4/z582AYBlFRUbj33ntx5swZFBYWSjlrDMPg8uXLmDBhgtdYBoMBo0ePxqJFi7BgwYKg1kqh3GqoEKJQKJQIhAghUo7XbrdLZXrlT9ldLpfUR4SEy7hcLly4cAGFhYVYuHCh9BRcbtyLouhlbMvDbsj+Xbt2wel0oqysTPqcVDgj7+WvHo8H169fx6hRoxAfH+81NpnbVwjo9Xr89NNPuOeee6rsXprNZrjdbvTo0UN6As8wjFdlNvK5vEqbfD9wQ7h99dVX0r6UlBTs3r1bKi6we/du9O/fHzqdTvKMGQwGcBwnPeUnFeOIoU7mTkpKwi+//ILt27dLxjuZnxyn0+ngdrvxyCOPwGw2V6gqJ69E53t9ZLydO3di5syZ+PbbbyuIB/K+Xbt2WLVqFdq3b+93/xtvvIHPPvsM+/bt83u/d+7ciYEDByIrKyvgd5KcnIxp06YFDFHLzs5G69atMWfOHL/77XY7Zs+ejbFjxwYsuKBGcnKy34IGFosF5eXl6Ny5M7799lvs27dP+m20bdsW999/v+rYJpNJsZcS8bwkJSUF9NxyHBdS+GWrVq0wePBgjBs3Dvv376/QM8jj8aBPnz4YP348/vvf/yqO40t2drbfNT322GNo2bIl5syZA4vFEvSaKZRbBRVCFAqFEoGcP38effv2BfD/5XblhrHve98SvsTrsXDhQskolhv3SoY/2crKylBYWAiHwyEdQ0SSTqeTjHv5mjiOQ0JCAho2bCidw7IseJ73MqYNBgN4nsdzzz2H9PT0KhVCcXFx0Ov1Afu6VAYFBQWoWbMmvv766yqbA7jhaXjwwQdRv379kM63Wq1YtGgROnfuHPAYo9GIatWqIT4+3u9+tbBAq9WqasALgqDoOVQrn/3LL79AEISQRRCAgD2ZUlJSsHTpUtx+++3YsmVLSGMLgoDc3FzF/SUlJYoFMFiWDdmr+8EHH6B27dp49913K5Tw/uc//wmz2YxXX3016HFNJpPf9dauXRudO3fGqlWrMHr06JDWTKHcCqgQolAolAikZcuW+Ne//oV//vOfIXWBv3r1KmrVqoUjR46EvIZnnnkGmZmZWLlypeZzPvvsM0yfPl0K31Jj8+bNOHbsWKhL1ARpZiqKYkj3UgtVUUXOHy1btkSzZs3w8MMPY+LEibjjjjuCOj86Olo13JEI6UBwHKd4rTabTXUOQRAUm+mqFeqwWq2quU5q8Dzv9zp69uyJnJwc7N27Fx06dAhpbLU+YHq9Hi6XSzFnK5zy8hzH4eOPP8YDDzyAQYMGoXbt2gCAY8eOYe3atdi3b1/AhrlK6HS6gL+NcePG4cUXX8SoUaOq7N8ZhVLZUCFEoVAoEYjZbIbL5QrZoIiOjpbC0ELNv7FYLJoqZMlhWTao3KZGjRohPT092KUFBQkVczqd4Hm+SuYgBq3WHkqhcuDAARw6dAgvvPACunTpgtq1a+Ppp59GamoqrFar6vlWq1WTEFJrmKokhEgoohKCICiWl1bLkdMyhxqBGpaaTCY899xz6Nq1K15++WVMmjQp6H9DZrNZtRR6WVmZ4r3kOA4nTpxAkyZNpNBTEoZKwl3J3yUlJRBFEYIgSPlgoiiitLQUnTt3xtNPP43S0lK8+eabGDlyJFq0aAHgRq7Q2bNnvcJjfTcSlltWViY1BPZH9+7dMX78eKSnp0sNfCmUSIcKIQqFQolA1J4oqyFPKjebzSGNYbVaNRc+IKj1wvGlXr162LBhQ7BLCxqDwQC73V5lQoiEGio1Ca0s2rRpg40bN8LtdmPWrFmYPXs2nnnmGQwZMgQTJkwImCAP3PhO1QSEwWBQ9AgF8qQQiAhX8sCpCSGTyYScnJyA+y0WS9jly2NiYgL+vmfOnIm+ffti0KBB+OGHH/DZZ59pEpoEQRBUvWqlpaWKAkun00EQBLzyyiteeVokvJTknun1ekyfPh3nz5/HihUrvMJVeTT9ruAAACAASURBVJ7HqFGjsGTJEhgMBowcORJTp06V5ujZsyeKiooQFxcnhdD6vsqLVXAch8cffzzgeseOHYv33nuPCiHKHwYqhCgUCiUCCVcIATe8M6WlpWEJoWAr1xHBoZW6detqKkccLmRdNputyuZgWRbXr1+vciFEMBgMmDp1KqZOnYpDhw7h3//+N+6880689NJL+M9//uP3nKioKFWRovYdqvUiIvliSh44tRwg33LlvlRGuCO5F4Ho1KkTsrKy0L59e/Tt2xdpaWmae/OYzWZFIUSEIOn35c9zm5OTI4VBqtGsWTOUlZXhtttuq7Bv48aNAc8rLy9HVFQU6tSpE7CKIPE+lZSUoLi4GGlpabjtttsqVCT0eDx4/PHHsXbtWsybN++m/TugUMKBCiEKhUKJQCpDCBkMBsWn7mpER0dXuRCqU6dO0F6nUAjWUxUKRAjdCtq0aYNNmzahU6dOisdpESlqOUJaeijp9XrFOYxGo2ponNL3RcKz3G53yI1DSREQJSwWCw4cOIDGjRtjwoQJWLx4saaxTSaT4j0k10/CNu12O0wmk9cxPM9r9nqpheIFYt68ecjIyPCqTOhbRCXQ3+fOncPJkyclD9S2bdtw/Phx9OzZE5988kmFIg0USiRChRCFQqFEIJEghGw2W9BrCHbOmJiYoJu2hgIx/qsSlmVRVFRUpXOooaX/lFqYoFponJamrGSOQOFkJpNJNTRO7bdHxFaoQkirN0kQBOzevRvNmjXDoEGD0Lt3b9VzLBaL4j00m81S/h3LssjPz68ghNTG8B0vlL5j7dq1Q1paGpxOp5TjJi9zL+9hJf+7vLwc+/btg9FolKoLMgyDAQMGwGKxYOLEiZgwYQItmkCJeKgQolAolAhEEISwvQvhCqGYmJigjatgiyVERUVVuUAB/t9orkp4nleshHYzqFGjBi5fvqx4jJrHh2VZRRGi1SOkNIbRaFT8fQcjhEIN/SQNY7WQmJiI1157DUOHDsXRo0dRp04dxeONRqOiN4fjOOn6eJ5Hfn4+EhMTvY4xGAyaq8ZVr14dP//8M+rUqePV14uErgH/34DX6XQiIyMD9erVw969e7FixQo8+OCD4DgORqNR8g7JX337Sen1eqSmpuKxxx6r0DdIFEW43W7s3LlT1UNJodxqqBCiUCiUCCQSPEJaSi37QpLAtaLFqK4M1Iz/yoDn+VvuEapXrx727NmjeIyaSNEihNQMdLX7zfO84hwWi0WTEArnO9Xr9QF7CfnjiSeewMaNGzFgwADs379fsTqgxWJR/LdjNBqltfM87zdPTq1MuZxhw4ahWrVq8Hg8UjEFIlhIOCRww2vTq1cv/Prrr6hXrx70ej3q1auH5cuXa5pHCwzDYOzYsVi0aBEVQpSIhwohCoVCiUDUksm1QKrGhUpMTEyVCyHSy4QkjlcVN0MICYJwy4VQ06ZNsWbNGsVjWJZVzMtSE0JqVeMA9fvtm9NCku3JuTzPo7i4GNevX4fL5ZK8HOTV7XaDYRhs2bIFbdq08QrnIviGcxHviNvthsvlwqZNm/x6bTZt2oTt27dXGLOsrAzNmjVDWloaJk6ciPfeey/g9amJGJ7nJY+YKIoV7pXb7caBAwdQWlqK119/HaIoolevXmjVqpXf8XQ6Hfr06RNwPjktW7bEv//9b3z44YfYvXt3lVRSHD58OF555RVcvXoV1apVq/TxKZTKggohCoVCiUDUksW1QKrGhUpsbCxcLldQlbnUGmH6wjAMeJ5HdnY2GjZsGOpSVbkZxRKCFYFaIVW7HA4HnE6nYs8Xnudx6tQpHDlyRBIOchFRXl6OgoICjB8/HnfeeSdcLhecTidcLpckEPbv348jR47g0KFD0udlZWXSsZcuXYLD4UDNmjUrVBeTVxlr166dJCLkoVrkmkjivdwro9PpEBcXJ/XFqVGjhpSMzzAMPB6PdF5JSQkmTpwovWcYxut36lsGWv6ZTqdDWVkZCgsL0bJlSzAMg4YNG+LNN9/E4MGDYTab0aZNG6lAAPl+z5w5g3vuuQcffvghxo0bF7BxcHx8vOK/A3noX3FxMZKTkyGKItasWYO5c+dKHqfo6Gh8/vnn8Hg8eOWVVwAAcXFxSEhIQHJyMgRBAM/zYFlWeuU4DjzPg+M4CIKAe+65B82aNZPmfu+99zB37lzo9Xrcf//96NGjR9C/STViY2MxcOBALFu2DJMmTar08SmUyoIKIQqFQolAtCS9qxGuEOI4DqIo4p133pEakhJj2e12SwnWDMNIT94zMjLAcRx++OEHlJeXexnYbrdb2uQwDIPFixejbt26krFNNrfbjYKCArhcLgiC4DUO8RQ4nU5kZ2ejRo0aFXIiyOuVK1cwduxYJCUleSV/m0wm1K5dG1lZWbBardIYvk0ry8vLJW+CbyI5+ezw4cOYOnUqPvzwQ691+jbBlHsa/IkI379JGBoxyuUGPtnkQkEQBHTt2lVar6+IJRXNfv75Z6kfDckH4TgOAwYMAMMwiIuLk8KsTCYTBEGAIAi4cOEC3nrrLaSlpXnljsjzSUi/G5ZlpV405BiGYTB//nysWrUKu3btkkLMSCjnnj174HA4NBUlCIc1a9YgNTUVTz31FHJzczFlyhRs3LgRXbt2xbJlyxQ9GUOHDsVrr72Gzz77zO9+nucV84/kpelZlkVWVhbGjBmDn3/+Gf/4xz+wZcsWv7k3Fy9exOHDh3Ho0CEcP34c165d8ytmyb+dq1evYuLEiZg4cSLmz58PAGjSpAnef/99adzHH38cgwcPln5f5HsKZ9PpdMjNzcXhw4epEKJENFQIUSgUSgRCcoTy8/Ol/h3yEB232y0ZjsTY1ul0cDgcYBgGpaWlyMvLw9y5c/Hjjz9KYoV4FeSiRG7M6/V6xMTEoFatWlLy9vz582Gz2SoYSuSVPN3X6/Vo0qQJ0tPTkZqaKj15J5vcSPJ9cr9mzRpYLBZpTGKAGwwGyTDu06ePlPdAjGyj0Yi8vDzs2bMHEydO9BIFZGwA2LBhA0RRROvWrb3GP3PmDEpKSnD16lUcPHgQPXr08FojOZYY8L65F/KtQ4cOiIuLg8ViAc/z0lN5cvzXX3+NTZs2YcWKFRAEARzHed1HX0FCBITFYpFCCLXg8Xgwe/ZszJgxAzVq1MBtt92G3r1746GHHkKNGjXC/m0eO3YMH3zwAe68886QxxAEweuVYDKZ0LVr17DWp5WLFy+iadOmGDVqFMrLy9GoUSN069YNcXFxqucOGDAAU6ZM8frs3LlzWLp0KTIyMnDu3DnY7XZ06dJF2i//zf/000/weDzo1q0bioqK0KVLF9x11104e/ZsBQEkP79OnTqoU6cO+vXrp+kaRVHEV199hcGDB0tCyJfs7Gx8+umn6N+/v6K3MZSNhsVRIh0qhCgUCiUCuXbtGjZs2IBatWpJxjQAyRgnT//JE3fy3mAwwOPxgOM4lJWVISsrCw0aNJD6rQiCIFWG8q0ExbKs9BT59OnT2LVrF4xGI3766SckJCRU2bXGx8dj9erVuOOOO/zuf/vtt7Fs2TKsW7fO7/5Lly5h/fr1+N///hdwjuPHj6Np06aYM2eO3/1r1qzBv//974BP+CsDu92OXbt2oVu3blU2BwBMmTIFS5Yswffff4+//e1vlT6+1WrV3N8mEDerSIYSLVu2RHZ2NoAb3raHHnpI87k9evTAmDFjMG3aNKSkpGDDhg1Yvnw5kpOTkZKSgp49eyIlJQXVq1cHgApFGVq3bg2PxwOLxYIdO3Zg1apVeOCBByrv4n6HYRgMHDgQOp0Odru9gvAEAKfTKXn8KJS/GlQIUSgUSgTSoEED3H777UhPT1dt+hiIdu3aYejQoXj22WdDXkdMTIzU76Sq0Ov1imGAJCQuENHR0apGtVrxCY7jNJcqDpWbYfyXlpbizTffxO7duwPmr4RLdHR02EJIS8GFqiY2NjbkkupxcXHYsGEDevToAYvFgjZt2mDHjh1o27Zt0GN98MEHquW4w+Hs2bPweDyKQigYjyOF8meCCiEKhUKJQIxGI0RRDFkEAZC8QuFwM4oMqFW3UxMQgiBIeTwksd0XtQaeWpqEhouWstPhsmvXLsTExFSZCAJu3EuS2xTq7zMSPEJmszksQdepUyf0798fBoMBK1asCHmcqm72GxcXB51Oh5ycHERHR1fYH05TWgrlj07o/8NSKBQKpcowGo1hVyATBEGxTLIWwi3BrQU1Q1DNaCa5NGq9b5TKOftWL6sKbobx73A4qvzpPsn3CqcceVRUVJX/rtSw2Wxhe7YAhH2/q7rZr81mQ5MmTfDjjz/63U89QpS/MlQIUSgUSgSiZrhrwWQyhR3WFm5TVi2oVbfTIiDUDPNICI3jeb5K51i5ciVmzJhRKca9GmrCU41gSrJXFSSkMhwBfP78eSQlJYW1jqoUQqWlpViyZAkuXbok5Sv54nK5qBCi/GWhoXEUCoUSgVSGR8hsNv8hhBDHcYqeKy1CSM0wl/dt8UdVixSg6kPj5s2bhwMHDoSVE6aVcI13lmWr3AOnBsdxYBgmZCEgiiKOHDniVYo6FKoq/PTKlSvo3r07rly5gkGDBmHgwIF+j6OhcZS/MlQIUSgUSgTC83zYHiGr1Sp1rw8VlmWrPIRJbQ4tAkLNmDQajaoeoz+6EHr88ccxf/58zJs3r8rmILhcLnz99ddISEioUIKd9HeSl2j33bZt2xb277syIJ7EUITQ+fPnwTAMWrRoEdYaDAZDpd+LU6dOoUuXLmjYsCEOHDigmMtFQ+Mof2WoEKJQKJQIpDJC4ywWCy5duhTWGDcjR4hlWdX8nsoIjVPyYITrEXrjjTewevVqxMfHo0aNGhUar3o8Hly8eBGFhYXo3bu3VNyBiAiy5ebmorS0VOrP5Ntg1eFwSOXP5Q1ZPR4Prl27hpo1a4Z8DcHA8zymTp0Ko9FYoV+Uv/5R8j5Ser0eubm5ESGEdDpdyKGEOTk5MJvNYa+hsv+N7d69G71790b//v2xfPly1eOpEKL8laFCiEKhUCIQ4hEKJ5fCarWGXSzhZnmE1Lw5aiLF4XDg2rVrAffzPK9o8JL7HajEsBJr1qzBSy+9BJ7ncezYMfTq1Utq2MqyLMxmM/R6PeLj45GUlISEhASvprTkOIPBgJkzZ2LcuHHo27dvhUa0er0ea9euxaJFi7B06VLpHNKAdcOGDVi2bFlQaw8VnuexZcsWtGzZMqTzDxw4gF69elXyqoInUEglKTftdDql7fr16ygrK5N+i99//32lhJSJooiPPvoIhYWF8Hg8cLlckpB+8MEH0axZM81j5ebm4r777oPH48G6desQFRWleo7H40F+fj4aNmwYzmVQKH9IqBCiUCiUCIRhGHAcB4fDEXKjQ6vVGnZ+D8dxNyVHKFyPEPG4KM2hNIbb7UZpaSliYmJQrVo1AP+f0E/KmEdHR6NNmzYYOnQounXrhn379uE///kP9u7diyVLlqCgoACLFi0KqynrwoUL0aFDh4CNUM+ePQuj0YiePXtW2Hfp0qUqy7txu90oLi5GdnY28vLyJO9UqFSrVg3Xr1/Ho48+CrfbjaKiIly7dg3l5eWSt4y8+n7mbyNes/LycsmLxrKs9L68vBx2u106jmEYKVysdu3aUs4SGQ+A1KiYCFIiPMl5+fn5qFGjRtj31mQy4eeff0ZJSQkYhpFE7549e8CybFBCqLS0FB6PB1OnTsWwYcM0nfP222/j/fffR7t27UK9BArlDwsVQhQKhRKhCIIQkoeCUBklinmer3IhZDQaFYs6BMqtIWFnTqcTNpsNOp0O58+fl56oOxwOOJ1OuFwuZGRkIDc3F99++62Uw+JyuaStsLAQAJCZmYmMjAzJ+CU4HA4sWbIEy5cvrxBu1LFjR3z66adIT09HTk4OevToUcGIJ++vXLmC2NjYCgY8ec3Pz0dWVlbAe6FU3S4qKgpZWVmwWq1SHyoijOTzlJaWgmEYWCwWyfNhMBike0qOk68duBF+KAiC5KELp1hCYmKi5GlhWRaJiYlISUmRPGTyTe5dk7/6O47sA4CysjKvc+Li4qRjXC4XPB4PkpOT8dNPP6FVq1aS2CFCRI1ly5Zh9uzZId8DQlJSElJSUrB48WKvz7t3746vvvoKjRo1qhBGKc/Lkn9mt9tht9sxdepUvPjii5r6PE2ePBnJycmYPHky6tevH/b1UCh/JKgQolAolAilvLwcv/76K+rXrw+9Xi8lovsmnvv7zO1248CBAzh27Bg+++yzCgaU0nv5Z0ePHsXZs2eRk5MjiQdyHJm3vLwcDofDy/j3XYt8Dvnm8Xhw9uxZbNy4EStWrPB6qk/+JkKM4zgvg554bBiGgcfjwYMPPghBEKQn+fLclLy8PADA+PHjK4ScGQwGFBcXQ6/XIyEhAbVr1/b7fYwbNw516tRBx44d/RrqZ8+eRXFxMW6//fYKRjXJ6ZkyZQqeeuopybPgG/o2ZcoUZGRkBPxNKOUy3XPPPVi2bBmGDx+O7du3S2MTjxbHcdDr9XjzzTexefNmfPnll9Dr9di1axeef/55HDp0SFqzXFj4EwaJiYlhlem+dOkSWJbFJ598ElbT4HDheR6CIMBqtQZ9bmWVXA9UGGXgwIGYO3cuJk+eLP1W5B4qfxvDMGjfvn1QuUtxcXEYO3YsZs6ciUWLFoV9PRTKHwkqhCgUCiVC0ev16N69u9TsU24I6fV66W9f44i8LykpgdFoxNSpU72OISLBn1ElFw86nQ5utxvXr1/HmTNnvHJa9Ho9WJaVEvcXLVqELl264I477qjwhJ7juApP9OVG9ty5c+FyuTBnzhyvp/osy4LneRQUFKBjx44oKCjwEg3kGoAbT8/btm2LmTNn+r2XkyZNQkZGBjZs2OB3/7Vr11CrVi3FfCxBEDBt2jSkpqb63b927Vr861//CuglEEURU6dOxdixYwN6+dLS0lR7KgUyvvV6Pe6++24YjUakpKQEHCM5ORm7du1C8+bNAdzwAuXl5aFmzZqSN0UNtSa4ahBvza0UQcCNENRQxUy1atUqJX/OYDD4FZUTJ07ExIkTwx5fC88++yyaNGmCKVOmoG7dujdlTgolEqBCiEKhUCKUhIQErFmzRjJYg+WHH35AamoqTp48GfIaHnzwQcTExFQI2/Flx44deOSRR/DYY48FPccPP/yAS5cuoVu3bn732+12KZQrkFBRax6rli9VGb2K1MZgGAYGgwGFhYUBhRDP84pFH9S8EGazWfU6fAtH2O12mM1mzSIIUK/SpwbP81LI3a2EhJKFQqNGjZCfnw+PxxOWoFPro3UzqFatGkaPHo2ZM2di4cKFt3QtFMrN5NY+iqFQKBRKQMJtqlq7dm0pZyVUtDZlNRqNIfcsUittLQiC1PhSaX4lY1KLECI5R4HQIoTUvAssy6KoqCjgfp7nFe8Fx3GKAsJisaiuged5r+vkOA48zyue40u4DVUtFouqYLsZqH0fSiQlJcFqteLLL78Maw2VUSq/Mpg0aRJWr16NCxcu3OqlUCg3DSqEKBQKJUIxmUxhhd5Ur14dAKT8mFDQWoLbbDaHbFCazWbV61TrtcKyLH777beA+y0Wi6KIIeGCBQUFAY/hOE618auaca9meBuNRsV1qvU7IoJO6Rhfr1IoPZTCFUJRUVFSjtitJDo6OmSPEADcf//9WLBgQVhrUPvObxbVq1fH6NGjMWvWrFu9FArlpkGFEIVCoUQo4XqEOI6DTqfDzz//HPIYFotF0xrUQtOUiIqKUj3XYDAorqOkpETxqbqWCnocxyl6tbQ0ftXiEVK6VqPRqHgdaqFxOp0OBoMhqDFCFULhGO8kz6yqe1RpWUc43pjRo0cjPT09rDWofec3k+eeew6ffvqpYil6CuXPBM0RolAolAjFZDKFZWyaTCaIogiXyxVy40eLxaJJ4FgslpA9QoIgID09HWPHjsXChQv95luoeYSaNWuGPXv2BNxvs9lU76WaEBIEQVGMWSwW1UpqPM9LpboD7Vdr/KomWoi3xmQyBdwv98RoEXC+BErwDwadTlcpVdcAeDUi9S0nfenSJTgcDq+NlO4uLCzE1q1bUbt2bb8lqcl7EjbpWxWRjHHx4kUkJiaGtHa1cMibSfXq1TFy5EjMnj0b//vf/271ciiUKocKIQqFQolQBEEI64k5KeFcWloKm80W0hgxMTGaPELhCKFHHnkEGRkZeO+99zBnzhy/a1XLz1F7qq5VCCmFxqkJIZPJpBoax3GcorBUa/yqpWRzeXk5fvnlF8TFxUlGvDwMLTMzE9euXcO2bdtQXl6OgoKCkH5n4TZvZRgGvXv3ljxtvuXg5aXaA5Vhl5db91c50ePxwOFwoHr16lLVQ3n1Q51Oh3Xr1mH9+vXSeb4VFn0rM8pLs+t0OlgsFsybNw/z588P6T4YjcaIEULADa9Qs2bN8MILLwQsJU+h/FmgQohCoVAiFKPRGHboEBEQoQqhqKgozaFx2dnZIc0RGxuLhQsX4uOPP0ZZWZnftaqFUakZk9HR0arGptFoRH5+fsD9JpNJMV9Ki7dGEARFj5Cvt8bf+VqKIfTq1UsKjSTGPam4RwThsGHDpM+Sk5MVx/RFLUxQC3Xr1oXb7Ua3bt1gNBrB8zw4joMgCBAEASzLSn/zPA+e56XjTCYTtm/fjsmTJyMzM1O6Vl86duyI/v3748UXXwxrrUp88sknmDhxIp5++mnUq1cv6PNNJlPEhMYBQHx8PEaMGIHZs2fj7bffvtXLoVCqFCqEKBQKJUKpjCRqtdwaNWJjYzWJMa25REoYDIaAQkMtNE5NCNlsNlUh1L59e3zxxRd44IEH/O43mUyK16hFCLEsqxhSplbUQYtHiGVZ7N27N6C4ycjIwN133x1WHoha4QgtxMfHo3v37pg2bVpI51ssFgAIWIocuPG7qWpvy7Bhw7Bz50506tQJp0+fBsdxQZ3fqFEjXL58uYpWFxrPP/88mjdvjhdeeAEJCQm3ejkUSpVBhRCFQqFEKOGGxgHK4kILMTExmtagpfKbGkrhbyzLKl6HyWRSFBjVqlWD0+mEKIoBexHdfffdWLp0qeIcOTk5AferhbUBN8SSUmicWuU5g8EAURThdrsD9v3R6XSKHoby8nLFxrFaCEcIiaKI0tJSOByOsH6b1atXV73fauGMlcXbb7+NrVu3olevXujTpw/sdjs8Hg9EUZTC+BwOh5RXJA/vO3PmDPLy8vDMM89I+UslJSVwOp3o168fRowYEdRali5dii1btkjvQw1hLCwsxIQJE8IuD06hRDJUCFEoFEqEIghCpXiEwhEoWkLKgMoJ71Faq8FgwLlz5/DVV1/h119/xenTpzFq1Ch07NgRwA3vgFovIp1OB7vdDqPR6PcYNdFnsViQlZVV4XNRFOHxeKStsLBQyl3x3UpKSnDixAkcP35cOkZuGO/duxd5eXl48803vXJlSH4MCZsrLS1FVFSU33WqlbbW6XQoKirCvffeK43JMAxat26N8vJyuFwuOJ1OKUeHvJev5aeffsKOHTvw1VdfeeXwyDeyVo/HA7vd7pXTwzAM3G43+vTpE3CdasTExKgWbAi38qJWWJbFP//5T8yYMQMlJSVS/pE8n4hlWRgMBrAsK31mMBikvLRTp06B4zhJ9B87dgz79+8PWghNmzYNVqsVHTp0kD4LRfimpKQgIyMj6PMolD8SVAhRKBRKhFJZQigcQ9BsNmtqfEnC+PLz82G32yUjury8HGVlZSgtLZVKXJMEeLmhv3v3buTm5la4XrvdjhUrVuDy5csYO3Ys6tati4SEBPz888/YsmULevTogfLycun8Zs2aScKEPI0XRVH6+6677pIq6JHPXC4XysrKcObMGcUcj5iYGGzatEnK05HPA0DKUYmLi4Ner/fKzSFGscPhQGZmJtauXVthn06nQ2lpKex2O5YvXw69Xu+V4E+MZwDIz88PWQjl5eXB6XSic+fO0Ov1YFkWkydPhtFoRFRUlGSMm0wm6W+ykfddu3YFy7KIjo6WGrJyHCf9bTQapfus1+tRrVo1CIIAo9EIQRAQFRWF5s2bIykpSfW3FQitoYg3QwgBwF133YXo6Gjs3bs3qPPsdjvMZjPWrVsHvV4vfb5+/Xo88MADeP311yVPklyQks1XgGZnZ2PRokVhiUwA2LNnD5566qmwxqBQIh0qhCgUCiVC4Xke165dC2sMURQxbNgwJCcne5X+9fe3vFSwPJzHbrcjLi7Oq1KXv41lWSQkJHg9DWcYRqrQRTZ5BS5i3B87dgwjR46U8loKCwuxePFivPbaa7BarZg4cSJefPFFREdHAwB++OEHvPPOOygsLITBYECHDh1Qr149NG7cWBIP5Ck8maNv377o2LEjGjZsCODGU3KWZcHzPGw2Gz799FPF0LcOHTogPj4e6enpEARBMvzJdZHvLCsrK+S8ipdffhlbt27F9u3bAx6j1neJeL4CYbFYYLPZ8Morr0ifvfrqq3jnnXfQpEmTkNYdCuEWXGBZVrUha/fu3TFu3DgMHz4c99xzT8hzaaFt27bIy8tDcXGxlL+kBUEQJA+ZXAg1btwYycnJ+PzzzyXBKv93RMSpvAqeIAgYP348br/99rCvRy2fjUL5M0CFEIVCoUQoFosFFy5cCGsMs9mMatWq4c4775QMJnmIDjHk5U/89Xo9eJ6XjnO73YiOjpZEAxEA5Hi5KAgVhmEwfPhwfP311/jmm2+wefNm1KlTBwsXLsSQIUMqHN+1a1d07do1qDlsNhtGjRqFlJQUv/t/++03rFq1KuD5JpMJDMMo9ovheR5Xr14NWQiZzWZVDwbLsoqlytWahFqt1goGrsFgCLn8eaiorfPEiRN44YUXcOnSJckTIi8FTkpuKzF27FgsWLAAW7durXIhZLVaUb9+faxcuRJjixTjXAAAIABJREFUxowJ6lydTgeXywWe56XPGjdujEOHDlX2MjXDcVxElfWmUKoCKoQoFAolQtHazFSJ8vJyPPPMM3jooYcqaVVVA8/zGDBgAGrVqoUOHTogPT0dt912W6XPoVS62mKxKOYIae0TFI6giIqK0tTvSEks6fV6VSHkex08z9+0EDJCWVkZXn75ZSxYsKCCd1EURVy+fBlOpxPTp09HbGyslzgn+WQjRoyAx+PxWzqbEBsbW2mNW9Xo1q0bvvnmm5CEUKSJDuoRovwVoEKIQqFQIhSDwYC0tDSsWrUKVqsVFosFVqsVVqsVUVFRiIqKgtFolBKhXS4X8vLy8Ntvv+HChQs4d+4csrKycPTo0YgXQnq9HseOHUOtWrVUj83Ly8P3338Pq9WKvn37ap5DEARcv3494H6bzaZaoltLVTglsaWGmhgD1JuyqnlaoqKiKlwHy7JhrTsUzGYzGjRogGeffdYrvItsCxYsQHFxMV566aWAY4waNQrFxcUB86WAmyvy2rRpg59++ino89Tyum4FVAhR/gpQIUShUCgRitlsRl5eHl5++WWpchep5kX+9ng84DgOoijC5XJBEASYTCZYrVZER0ejd+/eePjhh2/1paii0+kCPrV3u93Ys2cPNmzYgK+++gqnT58GwzCoX79+pQqhqKgoRQGhJTnfaDRKVcBCwWazqVbfY1lWNUdIrYIeCTEjOSk8z4dVyjoUbDYb2rdvj9TUVL/709PTsX79esUxDAYDCgsLFYXQzaocB9xoTJuXlxf0eWolz28FNDSO8leACiEKhUKJUKpXr46UlBTs3Lkz4DHFxcXIz8+HTqdDrVq1vJKt/0j4Vrc7e/YsNm3ahHXr1mHbtm2wWCxo3LgxHnvsMYwZMwZr167Fq6++GtQcgiAoej1iYmLw22+/oX///lIVuaKiInTs2BH5+fm4evUqiouL0apVK0lIkLwV8nrx4kU89thjGDt2rFStTl5dzuFwYPDgwVizZo3fNaiVAQduiBYlr5FaE1FSpMLhcMBkMkn3JtwwzGBR65OlpTcVx3G4fv26Yt6WyWS6ad6uRo0ahTSXXq+PCO+Lx+PBsWPHsGXLFuzYseOmewkplJsNFUIUCoUSoej1elUPhMViCapCVaTCMAw+//xzZGdnY926dcjLy0PdunVx7733Yt++fWjRooXX8VarFZcvX0ZGRoZX3xp/vXtIZbzz588r5u8kJSWBZVk0aNAAFosFTZo0wYkTJ1C3bl2kpKTAaDSiuLgYtWrVkqp1+ZaVNhqNqFevnlfJa3kJ7P/973945513sGTJEr9r/fXXX5Gbm4v//ve/0mculwsej0d6zcjIwIIFC/DLL79IRQTKysqkfkRZWVmqYoo0ryVCSC3vqCpQa3ZqsVg0ecfUjPXGjRt7NRitSmrXrg2Hw4Hc3FzUqFFD83k3O0fIbrdj+/bt2LFjBw4ePIjz588jLy8PBQUF0Ol0aNSo0U2tIEih3CqoEKJQKJQIhef5sPsI/VHweDyYM2cO7rzzTsycORMPP/ywVJLaH82bN4fT6cTdd98tJcrLS3b79udhGAYejwfbtm2DzWaTxJNchBQUFMDlcuGtt96qsuusUaMGysrK8NZbb3mtj2wMw6BRo0bYuHGj5LmRN98kx12+fBmZmZlS8QDSA4hU/FMru+6bk3IrPEImk0nVI6T2+9eSk6WlAEVlodPpkJiYiLS0NAwdOlTzeWoFLtTIzc1FtWrVKhSNuHjxItLS0rB792788ssvuHz5Mq5du4bCwkLExcWhadOmaNOmDQYNGoSmTZuiadOmqFatGhiGQUlJSVBijkL5I0KFEIVCoUQoaobinwmbzYZFixahV69emo5v0qRJ0PfmySefxNatW/H+++9LDU/lIkSn01V5PpUgCEhMTMTRo0dDHqNz587o3Lkzpk+f7nf/xYsXkZ2drTiGXq/3EgdqYWpVgSAIioJNS76UWuEI4IYQupnerhYtWmDXrl1BCSG1AhdKjBw5EkuXLgXP84iJiYEgCFLz4rKyMtSvXx8tWrTAfffdh+bNm6Np06Zo3LgxjEaj4rgcx0Vc3hKFUtlQIUShUCgRislkuunhSrcKhmGqvMTx22+/XaXja0EQBNXKc2oYjUZF0ZKUlISMjAzFMXw9EMR4vpkYjUZFwcbzvOq90uLJupkeIQBo2LAhPvnkExQVFcHlcsHhcMDhcMDtdks5Y6ToSXl5OURRRH5+PlJTU6WGwSTvTO6xlJcWF0URwI0QN7vdjhMnTiAmJgbHjx9HQUEBatasidjYWFSvXl2xkIQSBoOhQlENCuXPBhVCFAqFEqHczGpXtxoSuvZnR0sJbjVMJpOiaHnxxRfRuHFjHDx4EC1btvRqQkpeRVHExYsXYbVaUV5ejuvXr+OXX37Bt99+KxntxIgnFQpJPpK8eiE5zu12w+FweOVkkZwlYvATIUDKvR89ehRFRUV45ZVXJMPf5XJJ8546dQo5OTkYNmyY9DmZnxx79uxZPP3005g8eTKsVityc3Ph8XgkI97j8cDhcEAQhLDueTDk5+cjLy8PTqcTHMfBYrFIPZBI+CNpREzCHQ8cOIBu3bqhdevWAG4IVUEQKuSgkVwz4s10Op1o0KABkpOTAdwosFJZMAwDnue9impQKH82qBCiUCiUCEXtyf+fCXn5bI/HA6fTKT3tdjgcsNvtcLlc0nu5wUyMdVJWXF5enLwnW+PGjWGxWCRjXf7U3fcJvPwz8nro0CFcv369QgNQIi7cbjdq164tNS31Hf/o0aNwuVyoU6eOV1U5ct2+VeZ8N4/Hg9LSUvTu3TvgvSR5SCkpKV45U/J8Kb1ejx49ekh9qJxOJ8xmM8aPH1+hyIN80+v14DhOKhRB3suPIfvlxxkMBrAsK4kgURTRokULHDx4EGlpaVJoIjmW4zjYbDZ07dq1gihgWRY8z4PjOBw5cgQTJkxA165dce7cOXg8HtSpU8eroMVvv/2GPn36VP2P+HcaNmyIv/3tb1i5cqXmc959910MHjxY8Xu9FVAhRPmzQ4UQhUKhRChECGVlZXkZ077GufzVn2FPhAN5L39CH2iMQFuwxyitS/63x+PBoEGDwDCM5DXwLRYgf08+I0/ZySsx1olRLn+Kvn//frhcLtSrV69CbpB8Pt998vm2bduG0aNHo0GDBhUEg06nw9y5c3Hw4EE89NBDfkWEx+PB4cOHsWzZMr9zk3HIK5lXXjBh/PjxsFqtAX83BoMBMTEx+OKLL9ClS5eb+Iu9+Sxbtgx33nknunbtGvAYq9UqCbCbQYsWLfDhhx8GdU44OUJVCRFCFMqfFSqEKBQKJULR6/WoU6cO7r333goGvrwks7/P5AY6CcvxJxJ8yzuTY+VP/H3H17LJx5TP4zsfeR05ciT69euHf/zjH1LoT2Uza9YsrFu3Drt37w55jNjYWDz55JNo2rSp3/2ZmZk4ePAgFixY4Hf/kiVL8MYbbyga7mrUq1dPtRjC/fffjwkTJuDQoUPgOC7kuSIdLdXWBEGo8vwzOW3atEFubm5Q5/hW8YsUaMEEyp8dKoQoFAolgjl//vytXsJNwWazSbkdVYWW5Hs1fKut+WI0GhUNx8pI3DcajapjvP/++2jQoAEeeeQRrFy5EizLhjVnpEI8iEpURoGKYIiJiQl6Pp1OFxENVX3heT4iBRqFUlno1A+hUCgUCqVqsVgsis1OKwOO46pcCAmCoGg4mkymsA1eo9GoapzqdDqkp6f/H3vnHR5Ftf//9+xO275JCC1AEnqJgIi0BKRIle4FCyKoEMAGIoLKVa5eQEAQFKRju1giRuCCooiARCEgCgakNykhhCRsNm13Z3fn9wd35rubbN9Nkd95Pc88u5k5c86Z2VHOez4NBw8eRJ8+ffzWFfq7wnGc3+eG4zjZDbOmIiWyqGkQ1zjCnQ4RQgQCgUCodliWrfQ34pGwDPhzxeJ53ud1REII8Twf0OK0Vq1aOHPmDIqLi5GcnHxHJt6gadqvdYyiKNA07bfwanVitVoRFRVV3dOoABFChDsdIoQIBAKBUO0wDFPpb+z9iZRA8Lfw9ud+p9frw15YBnMdPM/j8OHDKCoqCiqL2d+FQIQQcPv5KiwsrIIZAaWlpUHX3dFqtcjLy6ukGYUOEUKEOx0ihAgEAoFQ7dA0XSVCqLJd4/y53xkMhrBjLjiOC0rQKRQKtG/fHkePHg1r3JoIwzABLdRZlq0y90BBEIIWQmq1uka6LxIhRLjTIUKIQCAQCNWOw+GAQlG5/yRFQggxDOPTxUyKR/GGVF8oHEK5Dr1eX+kxWNUBwzABWYRUKhXy8/OrYEa3f+NgLY80TdfYZAlECBHuZIgQIhAIBEK143Q6K10IsSwbdkC6QqHwadEJxDUuEjFCwfah0+lQXFwc1rg1kUDTO7Msi9LS0iqYEWA0GiEIApxOZ8DnBCroqhoihAh3OkQIEQgEAqHakYqoViYcxwW1OPUETdN+hZAvscXzPACEZRWKRBrwO4VAhRDDMFUmhKTaWMG4QCqVSpI1jkCoBkgdIQKBQCBUOwzDVHq9EpVKFbaAoGna58LQnxBSKBTyIjnUmkmhFAi1Wq1VXljVbrejqKgIZWVlEAQBNpsNNpsNgiDIf5vNZigUClitVlgsFty8eVOuXSNtFotFbi8IAux2O2w2G6xWKw4ePIiTJ08iMTERdrtd3qR02dJ558+fx/Tp0/H222/D6XTKm1KpRE5ODlQqFWiahtPphNVqxfXr1xEXFwen04mysjI4HA5ZxEr7FixYgGeffdbjtUu/sXSOPwKNdapqWJYldYQIdzRECBEIBAKh2tHpdJUew+FPpHjC6XTKC3JpgX3x4kWcPXvWbaEtLe6PHj3qN0213W7Hjh07oNfr5QV5SkoKdDpdQHMSBAHXr19H79695Tm5Lu5FUYTT6YTdbpc/r1+/DrPZjPz8fFlMREVFoUOHDkhKSkLr1q3RtGlTn4VXLRYL9u/fj4MHD+KPP/7AhQsXYDKZUFxcjLKyMpSWlsJut0MURbnIKcMwoCgKCoVC3pRKpfw9Pz8fsbGx4HkeNE3jr7/+Qr169RATEwOapkHTNFiWBcMw8t/SPpqm0bVrV1y+fBkffvih3G9BQQGuXLmCzp07g6Zp+Zqeeuop1KlTx60fm82GyZMno2/fvpg0aZKcvTA3N1e+Hy+++CJYlsW7774L4LYYfu6553Do0CGv94qiqKBEt0ajqZExXMQiRLjTIUKIQCAQCNWOxWLBRx99BACywJA26S2/JDgcDof8KYoirFar3NbVEiAVqZS2vLw8iKIoCw5JNLh+VygUsFgsUCgUshudtJCnKAoUReHs2bNYtWqV2+JeWuAXFBRArVb7vNZWrVrh2WefhSAIsvjbuHEjxowZE9C9unLlCiwWC7p16yYLBKVSKX9Kc2EYBhzHgWVZrFy5EidOnEC7du3AcRxomsb169exc+dOfPzxxygoKEBJSQni4uLQuHFjsCyLoqIiFBQU4NatWygqKpKtSm3btkWrVq0watQoNGzYEPXr10edOnVQp04dqFQqKBQK0DSNDz74AEuXLsXx48e9XgvHcTh69Cjq168P4HZWvX379qFx48YB3QtPZGVloXfv3vjpp5/kfSqVCi+88AJiYmIqtE9LS8O9996LBx980GN/nTp1wvXr13HvvffK+5KSknDz5k2P7fft2wcAAVuDpLYkRohAqHqIECIQCARCtaNSqWA2m/HHH39AqVSCZVm3T4ZhoNFo5Df8kkWAoijwPA+WZWWrgvTdVQwwDIP8/HxMnDgRf/75pywWXK0TNE2jRYsW+Pjjj9GzZ0/5WDCxS0ePHkXfvn29HjeZTOjQoQN+/vln3Lp1CwMGDMBTTz2FoUOHBnWvkpKSMHfu3IDPyc7OhiAIWLRokdc2BQUF2LVrF44ePQpBEGAwGBAXF4cGDRqgUaNGuOeee3Ds2DEkJiYGNGYgySmktNaSEFIoFEElgigpKcEPP/zgJpJPnDiB4uJiWCwWsCyL1NRUWCwWr0JDrVb7jB9Sq9UVrHye9kmMGzcOr776qiyIJUEuPa+eEoMQIUQgVA9ECBEIBAKh2mnYsCGGDRuGtLS0ShsjOzsbSqUSjRo18tpGcuUKNZ7Gk/udzWbD8uXL8eGHH+L8+fOwWCx4/vnn8eabb8JgMAQ9hkqlCjpug6Zpv6IkOjoao0ePxujRo0Puw5VA0nzzPO9WP0epVAa18N61axdGjBiBZs2ayYIWuC0+duzYgb59+2LDhg2YMWMGYmNjPfahUqlQUlLidQyNRlNBpBiNRuzYsQPR0dGwWCyyJVKyIs6ZMwdvvPGGm1VRQhRFfPPNNxg0aJC8j6Zpn3OoLogQItzpkKxxBAKBQKh2fL1hjxQqlcrvQt5fwVR/SELI6XRi48aN6NKlC6Kjo7FmzRqMGzcO586dQ0JCArp37x6SCAJu36tAhZDNZsOvv/6Kb7/9NuyMecGKlEAsQjRNu/3u/pJReBojPj4eZ86cwalTp3DixAmcOHECiYmJKCoqkq0yCxcu9Cpu/VljVCpVhTnNmDEDx44dwy+//IKLFy8iNzcXZWVlmD9/PhITE1FYWIjCwkIIgiDHbElWqdatWyM3NzeoOVQXRAgR7nSIRYhAIBAI1Y5Kpap0IcQwjF8xQNN0WAtSk8kEm82G6OhoqNVqjBs3Dh988AFat24tt+F5PqzA+OjoaK/3Kj8/H/v378fevXuxe/dunDhxAjqdDiUlJahXr17IYwIVRYs/AklOUb6+j5RBLlC8WZ14nkdxcbHsAmm1WqFSqTz2oVKp3KxSno6Xd9dTq9VISkpy27d7927MnTsXn3/+OfR6fYV+JCHmKbV2fn5+yMK4MuE4rkZaqgiESEGEEIFAIBCqnaoQQoG4agVrkQD+z9XpmWeekd/0//DDD+jYsaPH+KLyi0u73Y6cnBw5hbTVapW/FxUVyeJAyl535swZlJSUwOl04sSJEzh48CAyMjKwZ88e5OTkoE6dOmjWrBkeffRRjBkzBvXr18e6deuwfPnyoK6rPP6KyXq6Tn9CiOM4N1EYrNXJW0p0juPkArLSb+pNCAViEfJ13aIoYvHixfjXv/6FefPm+Y338vSMWa1W1K5d2+d51QHHcSgoKKjuaRAIlQYRQgQCgUCodqpCCEnB6qWlpV4zuwXqGme327Fx40asW7cO+/fvh9FoRMOGDbFhwwY88MADbhnGysNxnJsVJCUlBQcPHoRarZaTNkhpoIHb8VNSVjip1k1xcTF0Oh0YhkG9evWQlJSE+fPn48EHH/SYrSwYdzpvBFskNJB6R+VFYaTElkqlku+xv99UrVb7PM7zvMcEDqIoIjMzE4sWLcK+ffuwa9cudO3a1e+cWZat8KzzPF/pz38okDpChDsdIoQIBAKBUO1oNBr5DX5lQtM0zGazVyHkq7BlaWkptm/fjr179+LAgQPIzs7Go48+iocffhgTJ06ULQv+sp7xPO8mhOx2O9555x288MILbu3Wrl2Ld999F3/++WeFPtauXYtu3bpVcM/yhsFgCDvWI9j4qUBd41wFQLBii2VZj+6OrvfY37w9xQCV76v8dRw6dAiTJ0/GhQsX0KFDB5w+fRq1atUKaM5KpbKCFau8OK4pkBghwp0OEUIEAoFAqHaMRiMKCwsrfRyaplFUVIS6det6PF7eNUsQBGRkZGDjxo34/PPPUatWLbRv3x49e/bEvHnzKggqyRpjt9tB057/iXXNUuZ0OmE2mz0uNg0Gg9cFfGpqqv+LdUHKbhYOwbqthSKEgo3R8mZ1crWw+Ju3N4uP63FX4ZKRkYEBAwbgoYceQmZmZtAZBj2JbY1GU+kFhUNBp9MhLy+vuqdBIFQaRAgRCAQCodqJjo5GQUEBRFEMqm5PsLAs61NwSYvUzMxMfPLJJ/j000/B8zzuuusu/Prrrz4tMP369cPBgwchiiKaNGkiF2UVRVHOJCeKIm7cuIG9e/di9erVsNlsYFkWrVq1qtCfXq+PWCYxnU4XVH0eTwRrrfEWv+MKy7JuoiBYIeRtDJ7nZbHpzyIUjBC6dOkSBg8ejNdeew0vv/xywPP0NjeJmuqC1rdvXzz99NMoLi6GVqut7ukQCBGHCCECgUAgVDscx0GpVKK0tBQajabSxmEYxqcLklKpxKuvvgqj0Yi7774bX3/9Nfr06RNQ32fOnMGUKVPQtWtXWCwWuWCrVNiVpmn57wYNGoDjOKjVakRFRXkUf0ajMWJCSKlUhi2EghUp3tzWXCnvJhhssgqLxSILCLvdjtLSUgiCgLKyMhQVFeHSpUtwOBzIysoCwzCyKLXb7RAEAYIgIDMzEzk5OdixY4dcC0hqY7fbcfDgQfn7P/7xD3Tv3j1kEQQAMTExWLJkCbZt2wZBEOB0OnHlyhU4nU4kJyfD6XTCbrfLc3A4HBU2aY5S2+LiYrRu3Rq///57yPPyRGxsLJKTk7F161aMGTMmon0TCDUBIoQIBAKBUCPQ6/UoKiqqdCHkKx3wPffcg4KCAhw/flwuzhkoSqUSLVq0wLBhw8KdJoDb98OXlcBut8Nms8n1aaRMc4IgwGazQRAEOQPdsWPHUFZWhk8//VRe1EuiQGorZaVzPV8QBFk0XL9+HevXr4fJZJL7cF2wl2+fm5uL4uJijBs3Tj5Wfry9e/fip59+wvfffw+bzYbz589j0qRJmDt3rrzodx3H6XTKIkChUICiKCiVSnAcB0EQwDAMFAoFLBYLKIpC27ZtIYoipkyZApZlQVEUKIqSi68qFApZ/EyZMkU+LvUrjTFw4EC88cYbyM7ORmZmZli/6/Lly2E0GrFy5UqkpaVBqVTCZDLh+vXr8txYlgVN02BZFgzDyEJa+u66cRyHjz76KOx5eWPMmDHYuHEjEUKEOxJKFMXqnkPAdOzYUTx8+HB1T4NAIBAIlUBiYiK++OILxMTE4K+//oLFYpEX1dLCXcoqJi2spU1aIEubZCmQjkmL6BUrVqBz585o27YtUlJSkJ2djd9//x0lJSWw2Ww4ePAgLBYLOnfuLPclCQZRFCEIAgoLC6HX62Vrh81mw82bN2EymWAwGKBSqcDzvJtrnFRUUxRFWayoVCq3/eXnznGc3L48BoMBZrPZbUEvWZtc90lWKJqmkZOTg/j4eLc20oJfykjHsqybBUvaR9M0Nm/eDJVKhcaNG7uN57pJ40n9CIIAvV7vtpjnOA4sy4JlWVgsFsTExMBgMMguaBqNBlqtFhzHyQt9lUolnydZ0kpLS5GRkYGmTZsiLi4OdevW9RqXFS4//PADRowYgZ9//hnt27cPu78DBw5g8ODBEYsLeuCBB5CYmIgVK1ZEpD9XSkpKEBcXh7NnzyI2Njbi/RMIlQFFUb+JotjRX7uA/49BUZQSwGEA10RRHExR1LMApgFoAiBWFEWP0XQURS0C8AAABYAfAEwVRVGkKGovgHoApCjJfqIo5nrqg0AgEAh3PiUlJejSpQt0Oh30er2cRlpauAO3UxZ7WoC7vumnKEpevJfvIyUlBbGxsdizZw9+/PFH5ObmQq/XY/To0eA4DhcvXkReXh769evn1re0wP/111/x6aefYs2aNXKfHMchKSkJ8fHx2Lx5M5544gk899xz6N27t9zG1S3uzTffRG5uLjZs2OAmVKRtx44deOONN3DkyBHEx8d7vFcsy+LIkSMBL8otFgu0Wi3Onj0b8u/z7LPP4sqVK9i6dWvIfUSaqrBSXLt2DaNHj8abb74ZEREERCZmCwDy8vLw9ttvY//+/XjooYciMLOKaDQaPPDAA9i0aROefvrpShmDQKgugnl1MhXASQBSueRfAGwHsNfbCRRFdQOQDKDt/3b9DOA+l3PGiKJITDwEAoFAQLt27fDSSy+hX79+VTZmly5dMHLkSMycORMAUKdOHXz22Wd47bXXPLb/+eefsXPnTq9Z28aPH49///vfSE5OxvDhwz222bNnDzIyMtClSxePx8+dOwee59GwYUNQFOUxA12wGdxYlpWtYsG6/En4q7dzJ2Kz2TB06FB06tQJ06dPj1i/Go3GbyKJQBg+fDiuX7+Ol19+GaNHj/bazuFwYPr06Vi6dGlIv/+jjz6K+fPnEyFEuOMI6L8GiqIa4LZVZ720TxTFI6IoXvJzqgiAB8AC4AAwAG6ENFMCgUAg3NHodDoUFRVV6ZjlUxlLsSbe0Ov1fgUIz/M+M9PxPO8z9ken08Fms8lua2azuUKbYGv6SK5w4dSq8TfvO43s7GyMHDkSeXl5+OabbyLat0ajiYhFiGEYDBkyBLNmzfJYSFfiwoULeO+99/Dbb79BFEWcPHkS77//Ph544AFERUVBpVLJLp0cx8luiJI749ChQ5GZmYnTp0+HPWcCoSYRqEVoGYCZAHTBdC6K4gGKovYAuA6AArBCFMWTLk0+pCjKASAdwFzRQ8ASRVGpAFIBoFGjRsEMTyAQCIS/EVVZvPHixYv47LPPkJmZif79+7vNwVftm0BcmspnQvN03FcfWq1WFhwMw6CwsBDR0dFubYLNriadE04aZI7j7kghlJeXhw0bNuDs2bPIzs5GXl4eLl26BJPJhE6dOuHXX3+NeOyRWq32m1EvEP7973+jf//+6N+/PwYOHOi1nSTk+vfvD4qiIAgCGjVqhJSUFGzbtk22PpaPL3ONP5sxYwbS09Px6quvhj1vAqGm4NciRFHUYAC5oij+FmznFEU1BdAKQAMAcQB6UxTV43+Hx4iieBeA7v/bxnrqQxTFtaIodhRFsSMJ0iMQCIQ7F57nK8X1yul04pdffsHkyZMRHx8Po9GIVq1aYcuWLZg6dapbbAXLsj5dlgIVQr4y0/kbw2AwyGMwDOPRSqZQKEISQuFY3PzN+++EKIo4duwY/vWvf6F+/fqYP38+CgsL0aJFC4wgLKhuAAAgAElEQVQaNQrNmjVDQkICdu3ahdq1a0d8fLVaDVEUw76fKSkpWLp0KUaNGoXvvvsOnhJgFRUV4YUXXsALL7wAnU6HVatWwWw24/jx41i9ejVSUlIQHx+PRo0aoUGDBqhfvz7q1q2LWrVqITo6GkajETqdDo8//jg+/fRTj2MQCH9XAnnFkQxgKEVRg3DbzU1PUdRGURQfC+DcEQAyRVEsBgCKonYA6AJgnyiK1wBAFMUiiqI+A9AJwCehXASBQCAQ/v7wPB8Ri5DZbMYXX3yBb775BidOnEBOTg6USiVSUlJw69YtTJ06FXPmzPH4lt+1eKYn9Hq9nEHOW+FXjuPCsgi5CiGO43D06FE5JbSUDttqteLatWte+/AEy7JhCSF/boPVgdlsxqlTp8AwDKKiotCgQQO331UURWRnZ+P06dO4dOkSBEHA6dOn8cUXX6C4uBgtWrTAu+++iylTprj1O2XKFAwdOhR169bFjBkz8M9//jOi85YsLmVlZdDpgnK2qUBqaip+//13DBkyBFqtFm3atEGbNm1gsVjwxx9/4NSpU0hISMD8+fPxzjvvhDxO165dUVJSgqysLLRr1y6sORMINQW/QkgUxVcAvAIAFEX1BDAjQBEEAJcBTKQo6i3cdo27D8AyiqJoAEZRFPMoimIADAawK4T5EwgEAuEOgeO4kCxCe/fuxZYtW7B//35cuXIF+fn5SEhIQM+ePTFq1Ch07doVjRs3BkVRSEpKQuPGjb26OklJBbwh1aIRBAEsy3psI6V29tWHrzFcxdaTTz6JZ555xi1znZSWesqUKbj77rvRuXNnr325IrnGhYo/t8GqwmKx4MUXX8ShQ4dw7Ngx6PV6iKIIq9WKsrIy1KlTB40bN0Zubi4uXboEpVIJo9EIo9EIpVKJmJgYvP3223jkkUe8Jg7QarX48ccfsXPnTowePRpmsxmLFi2K2DV8//33ct2jSLB69WqsXLkS+/fvx65du5CVlQWe5/H4449j9OjRaNCgQdhjKBQKPProo/j000+JECLcMYTs9EpR1PO4HTdUF0AWRVHfiqI4gaKojgAmi6I4AcBXAHoDOIbbiRO+E0VxG0VRGgDf/08EKXFbBK0L81oIBAKB8DcmENc4m82GLVu2YMuWLThy5Aiys7NhNptRq1YtTJs2Dd26dcO9997rNQ5GoVD4tGoEstiXMrZ5E0Iqlcqna5w/qxNN07LYWrBgARYsWOCxXVJSEk6cOBGwEPJXTNYf/ixZVUF6ejomTJgAg8GA3NxczJkzB6+88op83GQy4aeffsJvv/2G+Ph43H///V5TkPuDoij0798fe/fuRZcuXTBlyhQkJiZG5DpOnTqFpk2b+kxwECxSeviUlJSI9VmeMWPGYMCAAViwYEHI2QcJhJpEUEJIFMW9+F/qa1EU3wPwnoc2hwFM+N93B4BJHtqUALgn6NkSCAQC4Y7Fk2vcX3/9hY0bN+KHH37AhQsXkJubi9jYWHTv3h3Tp09HSkoKZs+ejTp16mD27Nl+x5CsKd4IVAhZLBavLk0ajcavEPInKGiahsVi8Sq2XNsECsMwYcVgqVSqahVCCxYswL///W+sWrUKY8eOxXfffYdRo0bBaDTKrm1GoxHDhg3DsGHDIjZuu3bt4HA48MQTT4BlWZSVlcHhcMBisYCiKDAMIxf8dTgccDgcaN68OdLT07322a1bN0ybNg25ubmVEoNUWbRp0wbR0dHIyMjAfffdV93TIRDCpnJKMBMIBAKBECQcx2H37t2YMGECDh06hOzsbBQXF+Ouu+5C7969MWPGDHTp0gW1atVyO8+fK5orNE37zHwWiBDyl7FNrVbj+vXrXo/zPB+w2NLr9V7bBJs5TqVSwWQyBdy+PAaDocqy+rly5swZDB06FAUFBfjvf/+LPn36AAAGDhyITZs2YdSoUWjTpg169Ojhp6fQMJvNcDgcuOeee0DTNDQaDRiGweLFi2EwGDBlyhQwDCPH/Vy8eBHLli3DqVOnYLPZUFZWBkEQYLVaYbfbYbFYUFpaCoZh8MknnyA2NhaCIECj0aBevXqw2+0QBAF2u10WVna7Xd4cDgcEQaiw32w2o6SkBH369MHgwYMr5V4At61Cn376KRFChDsCIoQIBAKBUCO4cuUKdu3ahWHDhmHixIno1q0b2rZt6zeOwl/dHlf8WUUCFSm+BIFKpar0MYCKNZD8ER8fj+PHjwfcvjwqlapKY4RKS0vx1FNP4YsvvoDBYMDVq1cruDwOHDgQc+fOxdChQ/HHH3+E5AaXnp6Op556CizLQhRFOJ3OCp8Mw2DJkiVu5+3evRv33HMPXnrpJbf9+fn5WLx4MVq1agW9Xi+noVYqlVAoFCgoKIDVakV8fDxWrVol/46XLl1CXFycXD9KSmdd/m+pL2m/9PfJkychCALWrFmD4cOHw+l0wul0wmQyQRRFlJaWwmq1wmKxyNcmbeWRxpXc36RxKYqCxWLB1atX8e6770KlUgV9vwmEmgQRQgQCgUCoEdx9992YMGEC1q0LLmRUrVbjxo3AanWXFw+u7kx2ux1WqxU2mw15eXlub+Bd37zb7XYcOHAABQUFcDqd8nHpLf1vv/2G8+fPY/PmzfIx18/MzEwUFhZixYoV8n6bzYaioiI4nU4IggBRFJGRkYHc3FycP38eubm5EARBXvgqFAocOXIEhw8fxtdff+1xnPL7bty4EVbqY47jqiR9ts1mw+TJk5Geno6kpCTs3r0bw4cPx4YNGzB16tQK7adNm4Zz586ha9euOHPmTNB1ko4dOwaDwYDNmzfLyShompaTU9A0jUaNGsFms7m5KrIs61GIxsTEYOrUqTh37hy2b99e4XhaWhpmz56Nc+fOyftMJhPq1q2Lq1evBjV3Vzp06IAnn3wSBoMBu3btkl32EhISoFAooNfrodVqodFo5OtwFVgAZGEkPdcOh0P+7vq5atUqfPfddxgxYkTI8yUQagJECBEIBAKhRsDzPMrKyoI6Z+TIkdi8eTMeeOCBgNoXFxfjjTfewNy5c+W34hRFyYtBu90OnufRsGFDt7fg0qf0/emnn4ZKpXLbJ7WRXJRmzJhRoQ+FQoGioiKIoogPPvhAPsYwDFQqlexeZbVaMWHCBDRv3hwNGzZEbGwseJ53W6A+/vjjqFWrFoxGI2iaBsuyYBhG/pS+cxwHjuOwevVq5OXlhfLTALi98I9EEVBP2O121KpVC/Xr10dOTg4aN26MrVu34r777gNFUUhPT8ewYcPQsmVLtwK4Eu+++y7OnDmDzp0749ixY0EF8nMch/r166NDhw5e2yiVSpSWlroJIV/PK8uyPuOpygvSSIhM6bkZO3Ysxo71WJoxYsTFxeGVV15B//79oVarK3UsAqEyIUKIQCAQCDUCmqaDXgweOHAAAPD0008H1D4hIQEtW7bEqlWrwPO87LYUDPXq1cPXX3+Nrl27ejy+cOFCbN68GZmZmR6Pnzp1Ct26dcPvv//udQyn0xnxrFyXL18OKwW0UqmstGKaxcXFKCwsxFtvvYXo6GiMHj3arU7T/fffj6VLl2L06NE4dOgQWrRoUWFuX3/9Ne69914MGjQI3333XcBjB1IfSUo9bjQa5X16vR5r1qzBl19+CZPJhFmzZuGtt94CcNuN0Jvbok6nq+A66S+leiAE6yoZDiNHjsSmTZvw6quvYtmyZVUyJoFQGZDchwQCgUCoESgUiqAtDteuXUOTJk0CjhFSqVSgaRp6vR4sy4YkNqREBt7w93bfX/psAJWSmrisrMxnFjp/FBYWhnW+L6QMeVOmTMFDDz3ksVhtamoqUlNT0aNHD5jN5grHpdo/v//+u0cXOm+oVCqfCTSA2yKjfDHaNWvWICMjA99//z2GDh3qFn/lyyIUFRVV4fmRXNTCyerHMIzf64gk77//Pr766ivs2bOnysYkECINsQgRCAQCoUYQihBSKBSw2WyYOnUq/vnPf3oMdHeNeygpKUHLli3Dnqe/FNy+hE5VJx2QKCgoCDp+xpVVq1ZV2rytViuUSqXfdgsXLsTJkyfRuXNn/PnnnxUEY/369fHDDz8gJSUFbdq0QWpqqt8+A0lnrlQqK6REZ1lWrtnTrFkzZGVlufXp7RmoVauWR8sNTdMwm80h1xaSUntXFdHR0Vi7di2eeOIJZGVl+cxwSCDUVIgQIhAIBEKNgGXZkN5oW61WPPTQQ+jdu7dbgLvrp/R906ZN2LJlS1jzDFcIBZKiuzIoLCwMSwjFxcVFcDbuWCyWgISQQqFAWloaOnfujL59++LHH3+s0KZdu3b48ssvMWrUKDRv3hw9e/b02adarfbrUsayrM8U7eUzBUqJCjwRFRXlVQiFU/CW47gqFUIAMGjQIPTr1w8vvPACNmzYUKVjEwiRgAghAoFAINQIOI4LSQjxPI/Bgwd7DKIvz5UrV/D111+HMj0Zf7EYkXCNqwwKCwu9FoENhJdeegnLly+P4Iz+j2CsgRqNBj/++CPat2+P1NRUrF27tkKbgQMH4q233sLw4cNx5MgRJCYm+uwvkBghXyKlvJjyZWUyGo1yAVZXF8BwhZBKpQq4nlYkWbJkCdq1a4dt27ZhyJAhVT4+gRAORAgRCAQCoUbgLR2xP/zF7LjCcRwKCgrQuHFjN/c5Ty51Doejwj6n0wmapv3GCPmy+EjH7XY7aLrq/hkuKioKSwg5nU6PsTuRIDExERaLpUKKam/UqVMHu3fvRufOndGyZUtMnz69QpvnnnsOZ8+eRbdu3XD27Fmv1jC1Wu1XCPmrP6XRaNyeXV9iWErQYbPZwHGc2xjhCCGe56s0RkhCp9Pho48+wsMPP4yuXbtWKHhMINRkiBAiEAgEQo0g1DfaUtrgQOA4DhRF4Z133gHDMLLrHMMwFT5pmnb7lNzrUlJSwrIISYUwy2chq2xKS0vDWqR6KmgaKSRxcOPGDTRs2DCgc1q1aoWtW7diyJAhaN68OQYPHlyhzdKlS3H27Fl06tQJx48f95iEQqfTBZQswZcQKp9wgWEYn2JYEtPlhVBxcbHPefiC53mYTKaQzw+HHj164JFHHsHTTz+NtLS0ShPMBEKkIUKIQCAQCDUCvV7vMRuYP5RKZcBCiGVZ8DyP4cOHBz2OhK/UyMDtBam/GCCGYVBYWFilQihQa4s3SktLwTBMBGf0f7gmtQiGXr16YcWKFXj00Udx4MABtGnTxu24UqnEV199hU6dOmHAgAHYuXNnhT4CsQgFEiPkKoT8pcP29MxyHBe2EKrqGCFX5s2bhw4dOuCLL77AI488Um3zIBCCgQghAoFAINQIDAZD0EIoPT0d58+fD9g1LhCR4o9AYoT8jcGybMApvyOFw+EIyxWvqKioUtJnHzhwAI8//jgUCgWee+45bN26Najzx48fjzNnzqBXr144deoUoqOj3Y5rNBrs2rUL7du3xzPPPIP333/f7bhOp/Mbs+XPbVOtVrsJIX/PAEVRFWKiWJatkKI7UERRBMdxKCoqQkFBASwWC6xWK2w2GwRBgMVigcViQVlZGcrKymAymeT5Op1OlJaWoqysDA6HA2q1GhqNBrVr10bDhg1Ru3ZtFBQU4ObNm8jLy0N+fj4KCgpw69YtmEwmmM1mFBUVoaSkBFarFZMnT0bHjh3RrFmzkK6FQKhKiBAiEAgEQo0gFIvQ66+/jtjYWHTp0iWg9pHI2ObPFS9Qi1Coi95QsdvtYVl07HZ7ROsbHT58GM8//zz++OMPvPDCC5g8eTLatGkjB92LoghBEGC32+FwOORN+ttut8vfH3vsMWzZsgUtWrTA9u3b5fm6njtjxgzMnDkTly9fRsuWLeXjJpMJFosF69evh9PprDCew+FAVlYW5s2bh7S0NDgcDjleTIoju3nzJq5du4akpCQAQH5+PiwWC5o3by5fh81mk8+xWq1ITk6GRqOR9507dw5PPvkkZs+eXWEeUhvXscvHtUnUqVMHCoUCSqUSCoVC/k7TtOzmKdXTAm4nqmBZFizLypaqsrIyFBUVwWw2yy58kkDSarXQ6XTQ6/XQ6/WoXbs2mjZtCoPBAK1Wi99//x3PPfccduzYQVzkCDUeIoQIBAKBUCPQarUoLS2Fw+EIKJUycFtQzJ49G3fddVdA7SORsc1f4cpALULhuEFVBwaDIeAYLpvNBpPJJFsKzGYzbty4gWPHjiEjIwOnTp3CrVu3MHbsWKSlpclxQW+88QaeeOIJXL16FXPmzMGiRYtA0zQoioJCoXD7LL/P6XSisLAQgwcPlkVA+TZarRZ//fUXBEFwEwcsy2LZsmWycCi/8TyPRo0aoVevXhVSsktjvfLKK6BpGlOnTq2Qup3neRiNRtA0DZ7nce+992LAgAFISkqSY9IsFguioqLAcRwYhqnwyfM8OI4Dy7JgGEYWL2vWrMFnn32Ghx56CFu3bsWBAwcq8zHwiyAI6Nq1K9atWxdQHScCoTohQohAIBAINQLpLffx48eh1Wo9vhF3fTNut9tx69Yt7Nq1C82aNavwFt/17bndbofT6cT58+dRXFyMVatWQRAE2eLg+im5FNlsNtjtdlitVvmNviAIOHDgAA4ePIidO3fCarXK50l95ObmwmazwWg0Vsg45zqf7OzsKr2/wRbcPH/+PH766SccPnwYJ0+exMWLF3Hjxg00adJEtqZYLBbZZc71dwFQIdmEVqtFXFwcunbtiunTp6N3795QqVRuY06bNg3z58/HwYMHodVqkZycjFOnTmH37t1o27ZtRO+HK0qlEocPH/ZazLRJkyaYNWuWz9iyLVu2oGnTpnjiiSf8jle7dm0MHjwYAwcODHnOEnq9HoIgQKFQVEt9qvIwDINPPvkEPXr0QJ8+fdCkSZPqnhKB4BUihAgEAoFQI1i6dCkAICUlBUqlssLb//KbQqFAaWkpfvnlFxw+fLiClcCTFQEA6tatizVr1shv6103adEuvXGXPtVqNaKiosAwDFJTU0HTNGJiYqBSqeQEDNLbep7nUbt2bdStW9djFjqGYdC+ffuIupkFQmJiIs6fP+/1uNPpxG+//Yb09HSkpaXh5s2baNCgAVq0aIFu3brhwQcfhNPpRJ06dcDzPFiWxbhx47By5UoMGjRIvn7JghGqW9Tw4cMxZswYjB8/HhaLBTzP4+bNm6FedkAolUqYzWavQoiiKHzwwQfIzc3FAw884LG4bFxcXMDpr1mWDTpV9rJly/DSSy/BYDDIiSWcTifMZjNatGgBnU4XcKxcZdO6dWu88sorGD9+PPbu3RuwhZdAqGqIECIQCARCjaBly5YYMGAAduzYUd1TqXRUKlVYNWNCoUWLFjh48KDbPofDgYyMDHz22Wf46quvIIoiWrdujX/+858YN26c3+QKarUa9erVQ/369SM2z7Vr16J79+6YN28emjdvjpiYGKSlpaF3796VFnPir5jpkCFDsHPnTkyZMgWLFi3Ciy++WKENz/O4detWQONxHBf073/w4EF06tQJq1evluN+pK1WrVpIT0/3m/2uKpk2bRr++9//YunSpZgxY0Z1T4dA8AgRQgQCgUCoEbRs2RInT56s7mlUCSqVqspjhAwGg1y0dO/evfjyyy/x1VdfgWEY3HPPPfj000+DdtVSKpWVUsRzz549iImJweXLl5GVlYUuXbqgrKwMycnJchxZ+aQJkoui5MIoBf3bbDZ06dIFM2fO9DoeTdM+458ka2VycrLX6w2moGkoQojjOCQmJnqNh2MYJuz4t0iiVCrx0UcfoVOnThg4cGCF1OYEQk2ACCECgUAg1AgSExNx/fp1WK1Wt0KTdyI8z4dUPDZUcnJysHHjRpw8eRJRUVHQ6XTo0KEDNm3ahL59+4bcL03TlSKEaJpGTk4OkpOT8cQTT+CPP/7AqFGjkJWVBZZl3bKilXdtlJIfcBwHlUqFv/76C7NmzcKGDRs8xpE5HA4UFRVh06ZNOH78uJwRcPTo0bKrXFZWFrZt24Y///wT999/f4X5mkwmfP3112jZsmVA18dxXNA1f3ieR15entfjDMNUSMld3SQmJmL+/Pl4/PHHkZmZWWl1qAiEUCFCiEAgEAg1ApqmUbt2bdy4cQONGjWq7ulUKlUhhI4ePYp33nkH+/btQ05ODrRaLTiOQ0ZGBjp06BCRMYIpZhssKpUKO3fuRNu2bfHyyy+HnA3N6XQiLS0NgiBUiP+S4ppeeOEFrFmzBmq1GjRN48yZM7h27RpeeeUVAMCTTz6JrKwsdOzYEZ06daowxtatW3Ht2jUsWLAgoDmFIoRYlvUpOlUqVY1yjZOYMGECvvrqK7zzzjuYNWtWdU+HQHCDCCECgUAg1BgMBkOVFxqtDnier5QYoW+//RbLly/HkSNHYDab0b9/fyxYsAADBw7EX3/9hT59+kRMBAH+ayqFS61atbBv3z507doVY8eOxX/+85+g+1AoFHjkkUd8tvn111/d/u7bt69bnSelUom5c+d6da+LiopCw4YN8dhjjwU0J5qmQ7II/R2FEEVRWL16Ne69916MHDmSFFol1CiqNmUNgUAgEAg+0Gq1f7v6OqGgVqsjIoTsdjs2bNiA5ORkREVFYezYsYiPj8d//vMfmEwmbN68GQ8//DAMBgNomo54euXKFkIA0LRpU2RmZmLHjh2YPn16pY4lUd5i4692VGxsbFC/J8uyQcfzcBznMytcVFRUjckaV57ExETMnj0bqampbsVfCYTqhgghAoFAINQYpMKYdzpqtTrkRWtpaSkWLVqERo0aISoqCm+88Qa6d++OnTt3Ii8vD6tXr0bfvn3BsqzbeTRNR3wRWlnJEsrTpEkT7Nq1C+vXr/eZ9CBSsCzrJvBYlvX5e9WtWzcoC4+//jzBcZxP8aRSqWpUsoTyPP/88ygpKcEHH3xQ3VMhEGSIaxyBQCAQagxOp7PK6+tUB/7iPcqTm5uLJUuWYNu2bbh48SISEhJw5coVZGVlec0i5mnMSFuEQlnQh0r79u3x008/oWfPntBqtXj99dcrbazy11VeGJWnTp06sFgsEEUxoBTfKpUq6BgxjuN8PjM8z1f7SwRRFN0KDLsWKhYEATNnzsSECRNw//33Iz4+vlrnSiAARAgRCAQCoQYhiiIRQv/j/PnzWLhwIX788UdcvXoVHTp0wNNPP41hw4ahYcOGoGnaY2FPbxiNxohbb6pSCAHA3XffjR07dqBv375o3bo1/vGPf1TKODzPw2KxoLS0FDabDQ6HAzdv3kRBQQF0Ol2F7GdqtRqiKOLXX3+V3d6kNN4mkwk6nQ4URcFms8FutyMrKwvFxcWYMmUKaJqW20mFhJ1OJ+x2O5xOp5wiPCsrC5cvX0a/fv3gcDjkY1Jh1eLiYpSWluLFF190O08SIiUlJSguLkZJSQmuXr2KsrIyMAwDnU6H6Ohoub3VaoUoirDZbCgrK4PVaoXVapWvp3yBYinzntPplF9k+NoA4LHHHkNGRkal/HYEQjAQIUQgEAiEGoPT6ay0opk1CY1G49GV6sCBA1iyZAkyMzORn5+P++67D3PmzMHgwYMRHR3t1lar1eLSpUsV9nvDm0Xol19+QX5+PhwOh9tbfKvVKi+Opfo80qJXWmAfP34c58+fh8lkkvc5nU4IggCHwwGbzYacnBzExsbK/UuLfNcFtOtC2ul0yov78t+lv5VKJcaMGYOZM2dCFEW5jafzXD897fN1LC0tzW3B//HHH2P06NFIS0urcB9VKhX69esHhmHkRb9SqYRarZatP65CJycnB1988QV69OgBhmGwdetWREdHY8CAAWAYRs5gp1Ao5OQKBQUFuPvuu0HTtJw+XDouCAKysrJw7NgxMAzjdi7DMDAYDGjQoAH0ej1WrVqF8ePHo1OnThg7diy6deuG+Ph4MAwDlUoFpVIJlUoFvV4PvV4Po9EIvV4PnU4n/76S9Umaq1qtBs/zfl9kWCwWtG/fHps3b8aIESMCenYJhMqCCCECgUAg1BgCdS36uyOlnXY6ndi8eTNWrlyJrKwsWCwWDBkyBCtWrEC/fv2gVqu99qHT6ZCdnR1WFrjTp08jJSUFDRs2BEVRFWrySIt5aeHtWruHpmmYzWaYTCZcunTJbXHOMAyUSiVyc3ORkZGBSZMmyQty6bhU80darLue72kerm1mzpwJrVaL+fPnV6gh5Ol7+f48fZbfaJqu8Cy+/PLL+P333z3eS5vNhvz8fKhUqoDufZcuXTBy5Eg55ql79+7o168fXnvtNY/tf/vtNwwcOBALFy702ufixYuxfv16v+nn3333XYwfPx6tWrXC/v37sXPnTqxduzageYcLz/NYt24dHn74YfTq1QtGo7FKxiUQPEGEEIFAIBBqDP8/xAjZ7XZ8//33OHLkCKKjo8FxHEaNGoXXX38dycnJoOnA/mkOtoYPwzAVLEIKhQJqtRqXL18O6hokRo4cibp162LlypUejx8+fBh9+/bF6tWrQ+rfG6tWrUJycjKGDRsW0X79IbnMlUeycEkFWAOhfDHamJgYn78Dx3F+Y4ACSV5hNptRWlqKevXqAQBee+01rF+/Hhs2bMBTTz0V8PzDoXv37hg6dChmzZqFNWvWVMmYBIIn7ux/bQgEAoHwt4Km6Rqd+SpUzGYz3nzzTbRt2xYGgwGHDh3C3Xffjd27dyMnJwcrVqzAfffdF7AIAm7X2Dl//nzA7aW+XRfKOp0upPudl5eHjRs34vjx4z6D/nU6XaXUtrlw4QI6duwY8X79oVarPQoNk8nk0YLkC4Zh3ERV48aNcfXqVZ/t/SW7CEQIrVu3Ds2bN5ctMUajER9//DGmTZuGkydPBjz/cFmwYAG++eYb/PTTT1U2JoFQHiKECAQCgVBj4Diu0uvSVBVXr17F888/j2bNmqF27drYvHkzHn/8cWRlZaFv377o3r07OnToELIrYHR0NPLz8wNuL7m+meuceg4AACAASURBVM1meZ/RaAxJqKSmpmLs2LEQBAGdOnXy2k6j0VSKsL1x4wbuvffeiPfrD2+Z227dulUhXbk/yifMUKlUPp99lmX9WoQUCoXf+52eno7hw4e77Rs+fDj69OmDzp07BzDzyGAwGPD+++9j4sSJQReXJRAiBRFCBAKBQKgx/N2F0J9//onx48cjISEBTZs2xbFjxzBr1ixcvnwZR44cwYwZM9CkSRMkJCTgwoULYY3F83zQC0iGYVBYWCj/zbIsRFEMOq02RVGYNGkSLl68iKefftprO71eXylCSKfT4dy5cxHv1x8ajcbj82kymcBxXFB9CYLg1pdKpfJpzQkk/blCofBrETpz5gwGDhwo/33r1i2oVCp8//33aNiwYZWl4BZFEW3atAFFUVXmkkcglIcIIQKBQCDUGP6OQmjv3r0YNmwY6tevj44dOyI/Px/z58/HjRs3sGfPHkyYMAG1a9d2O0er1YaddjoUIdS4cWOkp6fLf0uJCYJNq83zPK5du4bs7Gyfc1Cr1XKK50iSkJCAQ4cORbTPQPAmhIqKioK2CF28eBFdunSR/46URciXhe/o0aMoKytzs+IZDAbo9XrMmDEDf/75Z6XF6AmCgEOHDmHp0qUYNGgQoqKicPfddwMAvv32W/zxxx+VMi6B4AsihAgEAoFQY/BXNLIm4HQ6sX79evTq1Qu1atXCsGHDYDQasX79ety6dQvbtm3Do48+CoPB4LUPlUoVthByTcscKKmpqRUSF9A0HbT4bN26NbZv3464uDifCQukjG+R/k1btGiB48ePR7TPQOB53qPQCEXoKZVKN/EUiBAK1yK0cuVK9OzZ0y0WTaFQYNWqVVi1alVErUE3btzAd999h9mzZ6NTp07Q6XQYNGgQPv74YyQmJuKbb76B2WzG6dOnsWTJEkyYMOGOjA8k1GyIECIQCARCjYFl2RppESotLcWSJUvQsWNHGAwGTJw4EW3btsWWLVtQUFCAjz/+GIMGDQo4a5hWqw07LiIU69lTTz2FgoICfP755/K+YLPPAcDs2bMhiiKWLVuGGzdu+GwbitDyR506dXD48GGvqawrC7Va7VEIMQwTtIgof1+0Wq3P+xTIGEql0qdFaN++fR6F64gRIxAbG4tXXnklgJlXxG6349ixY3j//fcxZMgQREVFIT4+HhMmTEBGRgaGDh2K06dPIy8vD0ePHsX777+P5ORkOT7uySefhE6nw3vvvRfS+ARCqJD02QQCgUCoMdQk17i8vDy888472LJlCy5evIiEhAQ88sgjGDlyJDp06IB58+ZBq9WG1Le/RW8gqNVqn1nGPKHRaDBz5kw8/vjjeOSRRwDctgiEap1SKBR+kz2EIrT8wbIsTp48iV69euHWrVtVlnJdo9F4FBqxsbEwm8347bffcM899wTUF03TbvfdW0Y6iUAtQt7utd1ux+XLl9G/f/8KxyiKwqJFizB+/HjMmzfPb/bCS5cu4csvv8ShQ4dw6NAh3LhxA2q1GnFxcejWrRu2bduGbt26Bfy7UBSFtWvXokuXLhg+fDgaN24c0HkEQrgQixCBQCAQagzV7Rp39uxZTJw4EU2aNEFcXBx2796NKVOm4MyZMzh58iRef/11JCUlgaKooBMMuKJWq8MWB95q2vhj06ZNbgvdUGKEJPwF+Ev9R1oI9ejRAwBgsViqtA4Nz/Me3bdatWqF1NRU9OjRA//6178CcvEqnz7bW98SSqUSoij6bePNIpSWloaYmBjEx8d7PD548GDUrVsXs2bN8njcYrFgy5Yt6NOnD1q3bo1ly5bB4XBg8eLFOH/+PG7duoXjx49j7dq1SElJCVqcNm3aFDNnzsSkSZMiHlNGIHiDWIQIBAKBUGOoDte4AwcOYPHixcjMzERBQQF69eqFOXPmYPDgwYiOjvZ4jr+gdH/odLqwXeP8xZR4Y926dejWrRsKCgoQHR0dluuaTqfze25lxAjdd999AIAXX3wRixcvxpQpUyLavzd8LdDfe+89jB07FsOHD8fmzZuxadMmNG/e3Gt7lmX9xniJogin0wmHwyEL72vXrkGr1cr7pM1ut6O0tBQ7d+6E3W6HIAgQBAE2mw2CIGDRokVQKBRYtGgRBEGQi8C6fsbGxuKdd97Ba6+9JqdW/+GHH/DRRx9h+/btiIqKQr9+/ZCWloZatWqFdhN9MH36dHzxxRf45JNPMG7cuIj3TyCUhwghAoFAINQYqsI1zul0YvPmzVi5ciWysrJgsVgwZMgQrFq1Cn379oVKpfLbhyiKYbljabXasMWBSqUKSYx17NgRKpUKV69elYVQSUlJSHPQaDQ+r0O6T8XFxSgtLYXdbodCoQDHcRUKkLou+KXN6XS6bVLK6bKyMhw+fBj5+fl46623sHDhQiQlJbkt/AG4iYTy3+12e4XvrvtsNpvbOTabDZmZmTCZTBg2bJjbedK4TqcTtWvXRlZWFtq3b4+EhARZwAiCIJ9jtVphMplw/PhxzJkzB6IoysJYyg7ndDpl4eXqgtikSRMwDAOKokBRlHxMoVDA4XBg1apV2LFjB5RKJZRKJWiahlKpxKVLlxAVFYX09HR5n0KhkBNaKJVK6HQ61KpVCz169ED79u2xefNmaDQapKSkYP/+/Wjfvn1Iz0mg0DSN9evXY+DAgRgwYADq1KlTqeMRCEQIEQgEAqHGUFlCyG6344MPPsBHH32EzMxMKJVKTJ48Ga+//jqSk5P9xkR46i8QweQJp9MJlmVRUlKCoqKiCm/upU9/2/bt23HixAk89thj8kJdOiYttnNzc2E0GisIDEEQMGzYMCgUCpSVlWH48OFo0KBBhXblRYn0Xao9ZDKZ4HA4oFKpZOuFtICXNp7n0a5dO3nB7ereJf0tJQEov7CXFv+ui/7yC3yNRoOlS5eC53n5mCRSFQqFvLmeL+2TvkvnuW4Mw7iNw3EcUlJSkJCQgEaNGoGmaXkTRRELFy7E/PnzwXEcWJZFUVERYmJi5AQaPM/Lx/7880+8/vrrOH36tDzGqVOnMHjwYJw9exY8z4NlWbAsG5TgTkpKwvTp0/Hkk09WeOZ0Oh0yMjLQpk0bn3107NgRp0+fRkJCAnbu3ImuXbsGPH4k6NChA8aPH49p06a5JfUgECoDIoQIBAKBUOlYrVZcunQJFy9eRFFRESwWC6xWKwRBAMdxUKvVUKvVuHz5MuLi4iIyptlsxrJly5Ceno5z586hdu3aeOSRR2C325GQkIDly5eH1G9paSlYlkV8fHyFxb+vT1eBANy26MTExHhclLsu4Mtv0vGrV69CpVJBqVTKC2eapsEwDFiWxY0bN/Dzzz9j0aJFYBhG3liWRXFxMQRBQHx8vBwTNWzYMLAsC4Zh5H6kzfVvlmVlocBxHDiOg16vl9NBS5skErwt5C0WCywWCx566CE0adIEK1euDPm3rgksX74c48aNQ/369f22rVevHubOnYsGDRrI+woKCqBQKCrUnAoGb/Fep06dAsMwfkUQABQWFmL16tUYM2ZMyPMIlzlz5qBt27bYvn07Bg8eXG3zINz5ECFEIBAIhEolKysL7dq1Q9OmTZGQkACDweD2xttisaCsrAylpaX47rvvkJycHPJY2dnZWLx4MbZv344rV66gRYsWeOyxxzBixAg0bdoUAFBcXIyLFy+GPIbT6URZWRkyMjJkgVDeSuFqLSh/TKlUYtu2bZg2bRouXLgQ8jwGDx6Mpk2bYtmyZR6P//XXX/j888/x0ksv+exn2bJl6NOnj992kYbnedladOTIkSoduzLQarW4fPlyQEIoKiqqguUzlBTc5WEYxqNF9dChQwG7mdE0Xe21vNRqNdauXYvx48ejR48e0Ov11Tofwp0LEUIEAoFAqFSys7PRt29f7Ny502/bN954A7t27Qqq/+PHj2PRokXYt28fcnJy0KlTJ7z44osYNmwY6tatW6E9TdNhZXzjeR4URaFDhw5+U0d7w1s9mmBQqVQ+g+0NBkNAY1R37aaYmBgUFxdX2/iRguM4mM3mgNrGxMRU+G2k2KBwKJ+JTuLnn39G69atA+4j3EQekaB3797o168fXn31VaxYsaK6p0O4QyHpswkEAoFQqRQVFQX8RjfQRfHu3bsxZMgQ1KtXD506dYLZbMbChQuRm5uLffv2YdKkSR5FEHB7wRmOCJHcvcJ5a65WqwNKsewLjUbjM8mBlFnMXypinuerdeGr1+v9Zk/7O+BNhHhCrVa7ZYKTzg9XCHnLALhnzx4MHTo0oD44jqsRQggA3n77bXz99df45ZdfqnsqhDsUYhEiEAgEQqVSVlYWcGKBmJgYj4tip9OJzz//HOvXr8exY8dgt9sxcuRIfPjhh+jVqxc4jgt4PjzPh20BoWkaZWVlQY3rikajiYgQunbtmtfjroLN1zxDrUcUKSKRQa8moFQqg7qPFEW5iVSGYcKyVAK3f8vy//2UlpbiypUrePDBBwPqoyYJoaioKLz33nuYOHEijhw5EvJ/bwSCN4hFiEAgEAiVSnR0NPLz8wNq67ootlgsePfdd9GxY0cYjUbMnDkT7du3x5YtW5Cfn48PPvgAAwYMCHpxxHFc2CJEqVSGtViMhGucRqPxa0kJpEaQp8VzVeKvkOjfhWBcyhQKhZxZzvX8cC1CnkRMVlYWjEZjwFZZrVaLW7duhTWPSPLggw+iefPmeOutt6p7KoQ7EGIRIhAIBEKlotPpAo4BoSgKN2/eRJs2bXDx4kU0bNgQjz76KB588EG0adMm5JgcV5RKZURckMIVQpGwCPkTOUqlMiAhFGhsS2XAsmzYlpCaQLDPBMMwKCoqQlRUlPx3uM+lJzfHI0eOBFWPR6vVhlxXqjKgKArvv/8+2rdvj1GjRgWU+Y5ACBRiESIQCARCpVLeBcgXWVlZEAQBqampOHXqFE6fPo05c+YgKSkpIiIIuL3wDleEhCuEVCpV2HNQq9V+5xCoEKpO17RIJAmoCTAMg19//TXg9uWfIY7j5HpNoeLJ7TMzMxOtWrUKuA+lUlnjLHRxcXGYO3cuJkyYcEeIZkLNgQghAoFAIFQqwQgYQRDQuXNnTJ06FY0aNaqU+ahUqrDd0qpKCGVnZ2P58uVysdSysjIUFRXh1q1bcDqdfl3aAhVC1RkjdKdYhMaOHYvPPvss4FTgNE273XeKoqBUKsPKoKdSqSo8lwcPHkSfPn0C7qO6nwdvTJw4ESzL/u3rTRFqFsQ1jkAgEAiVys2bN2E0GgEANpvNZ5HNcFNbBwLP82ELoXBjhHieh9PpRL169eB0OuUMYq7fpcWoRqPB888/D4qi3AqrWq1WNG7c2Oc4NE37FUvVbRGKhEtYTWDq1Kk4evQoUlNTA7IMKRSKCmJYEkKh1s1Rq9XIycmR/xYEARcuXMCIESMgiiLsdjvsdjsEQZA/BUGAw+GQ9125cgX5+fn45JNP4HA4ZBHucDhgt9tRVlYGk8kEnU4n92e1WpGbmwuDwQCHw4Ho6Gi5nfRslX8h4jqm9Clt5f97kD6Lioowe/Zs9OzZE3fddVdI94hAcIUIIQKBQCBUKmq1Gtu3b0ezZs1w7tw5PPXUU1i/fr3HtpFwW/NHJCwQ4VqEKIoCTdNYsmQJ6tevD4ZhwHEcWJYFx3HgeR4HDx6EwWBA//794XQ6K4jH//73v3jmmWd8jhOIRYjjuLCFYTj8HSxCOTk52LRpE2w2G2w2G6xWq/wpCAJsNhvy8/Nx8uRJn5n8XLHZbJg2bRpatWolCxKbzYZu3bqB4zg4nU55E0URTqcTVqsVOp0OPM/LwsRVSNy4cQMAYDQa4XA4UFxcDJZlZcEtiWmlUilboMoLbKnA8bx586BQKORCwNL3CxcuwGKxoEOHDnKhYEEQ8NNPP6FFixZISkrC6dOnQdM0YmNjwbKs23VLbrIcx4FhGNA0DZZlwTCMvLkWJJbGl/ZnZmbipZdewo4dOyLmLkv4/xcihAgEAoFQKdjtduzbtw9vv/02aJrGjBkzsGfPHuTl5Xk9h2GYv4UQCqZmjDc4jkO7du28Bn/Hx8fL3z1Z0PR6vV9LTiBCqCqscL74O1iEnn32WaSnp6Njx46gaRoMw7gt3lmWxY8//oiysjLMnTs34H6Li4thMpnkPimKwqRJk5CQkFBBDNA0jZkzZ8JqteL555+Xx+V5HiqVChzHYcKECejRowemTp0KlUoFtVoNnueh0WjA8zxo2v+yr2vXrhg+fDhmzZrl8fju3bsxbtw47Nu3z23/hAkTsHv3bnz88cfQaDQB34NgGTt2LDp27IjPPvsMY8aMqbRxCP9/QIQQgUAgECJGaWkpdu7ciS1btmD79u1ISEjAiBEjsG7dOjRu3BhnzpzBiRMnvJ5fFYvymmARAm67pIWTpliv1weUNc6fYKtu1ziapgNOplFdsCyL8ePH48MPP/TaplevXsjOzsaMGTMC6lOv12PBggXo37+/vG/Lli14+OGHkZiY6PGczp07/z/2zjzMiSp7/2+lUpXK2tALNPu+NSiobCNutCIuKAIyLsPmiAIq4IqoXxcGRUVxBkVwGxlA3H6KK4sgyIiIjCwCKsgOKtDd0vSSzp7U7w+8ZSVdqVudSrobvJ/nqSfpVKXqdlIN973nnPegpKQEt956q+b+Nm3aoHnz5jj77LMNjUELnud1I4TJ+h298sorKCgowIQJE7Bw4cKUr09DFEW89tpruPrqqzFw4EDk5uZm7FqM0x8mhBgMBoNhitLSUixduhQffvghVq1ahZ49e2LIkCGYPn06WrRoEXcsbdJtt9szPilPh2Mbz/Omx2m321FaWpry+7OysqgpbUbGmY6+SmY4FSJCTqcT+/btgyzLSdOxzj777KS1b1poiWlS+5UMu92uK2y17LNrCs3lMZnLn8ViwZo1a1BQUIC33noLN9xwg6lx6NGrVy/k5ubi22+/xeWXX56x6zBOf5hrHIPBYDBqzKFDh/D888+jsLAQbdq0wZIlS3DVVVfh4MGDWLNmDSZOnFhNBAEnJ916E72WLVtmvJmjw+EwHREyknJGw263m/pds7KyDKXG0SJCdS2E6vr6RujevTu++OILfP7550mPad26NcrKygyfU0uk0oSrlj124n6zQshisej+fegJ16ZNm2LevHm48cYbcfToUVPj0GPFihWQZRmXXnppxq7B+HPAhBCDwWAwDDNnzhz06NEDvXr1wrZt23DnnXfi6NGj+OCDDzBmzBhkZ2frvp+Wlta2bVuUl5ene9hxpMM+m5Y+ZASHw1GjiXMiHo8H0WhUd/XearUaMkuoyxqhU6GP0B133IF27drpNp6tqRuhxWKpdjxNYBuJqJoVQqIo6opnWgTvhhtugNvtzlhTVlmW8cgjj2DatGngeT4j12D8eWCpcQwGg8EwRCAQwMSJE7FixQpccsklKU1CaKv/fr8f4XBYNwXJLA6HIy0NVc2mxrlcLlOiTxRFcByHUCgEm82meYzRPkJ1HRGq70IIoEdrotFoje7ZxD5CRq5BE1t2ux2VlZWGx6CFIAi6YzBSY8fzfMbE9UcffYRwOIyhQ4dm5PyMPxdMCDEYDAbDEJIkoWXLlujUqVPKK7FGrJrtdntGbXHrS42Q0+k01TwT+CPik0wIqSNC6j4yasvl0tJS02l+ehQXF+Nf//qX0ouGjIP0h6msrKT2OqoP0KJrxJ7aKKIoVvu9af2paPbykiShpKTE8Bi0sNlspiJCgHa0ywyyLOOnn37CZ599hqeffhq33XZbjeqxGIxkMCHEYDAYDMOYdXWzWq26k6i2bduiqqpKs29OunC5XKYnaemICDmdTixatAilpaVKHxmyEaGibmipbjapbobZrl07ZZWevEfdkHLcuHEYP368EmVT95EhE9ZmzZqZ+l30ePbZZ/HMM89g4MCBSq8anueV3jR12cOoJtC+85qKdy0LdlrKJW0hQZKktNi66/2etSWESktLsXr1anzyySdYvnw5AoEAWrdujcsvvxyvvfYavvvuO8yaNSvOZp7BqClMCDEYDAbDMGQSniq0NCyHwwFBEFBWVkatNzIzBrNpO+koSne5XAgGg6ioqFAaqbpcrrgeNVarVWm0SjbSc4Y47OXk5MBms8VtdrsdkiRh8ODBGDJkCB544AFIkqQ5jhdeeAGvv/66qd9FD0EQ0L9/f6xYsUJzfzQahSAIGbt+uqClGdbU9EEQhGrni8VimD9/Po4dOxYneMnjq6++imPHjuHCCy/E8ePHlfuhY8eOeOONN1BaWoqvvvoKBQUFSiNWIojJz1VVVZBlGaIoKo1ayT5ZllFRUYHhw4frjpsmhFKNmO7btw8ffPAB3n77bXz//ffIz8/HOeecgwULFuCyyy5TFkf8fj+effZZnHPOOZg4cSKmTJkCu91e4+sxGEwIMRgMBsMwJ06cMCVQjNSjCIIAn8+XUSFEoitGGkxq4XK5dAvnjeDxeHDBBRfg3XffNXUePdxut9J0MxkOhyOjqXEul0tXNJI0y0AgoDvOukZLuKhxOp01mvxrmRJEo1GsXbsWP/74Y1z0jmy5ubkYNGgQsrKyMHv2bLRu3Ro9e/bE/Pnz8cYbb+CXX35BixYtcP/998NqtYLneUVQk23MmDHo168f7r777rj9FosFVqsVU6dO1f0bNVIjVJOI0PHjx7Fw4UK8+OKLOHr0KNq1a4ehQ4fi888/R4MGDTTfY7fb8fDDD2PUqFG47777UFBQgFmzZmHIkCEZTatlnH4wIcRgMBgMw5iNpjgcDkO9b8xGW/SwWCwQBAGlpaVo1KhRSudwOp2mi9JdLpfpGiEaNAcwMg6z6VR6GBFaPM/D6/XWayFES42rqemEVi1OVlYWHnjgAYwcOZL6/k8++QSjR4/GNddcg0WLFinnvPTSSzF69Oik7zvjjDPQrl07nHvuuZr7W7ZsiYMHDyZ9v9HUuMTPKhaLKdGpaDSKr7/+GnPnzsXy5cvRqlUr3HHHHbjtttsgiqLuudW0atUK7777LtasWYNJkyZh3rx5mD17NgoKCgyfg/HnhgkhBoPBYBiG1geIhhHHNq1Gk+nGZrPh+PHjKQshj8eD3377zdQYMi1AgJO/J+2zdLvdGW1ia6RJriAIqKysRG5ubsbGYRZaREjLhCMUCqGiogLl5eWorKyE1+uF3+/HiRMncPjwYRQXF+ONN95AIBBAIBBAaWkpXn31Vezfvz+uNiwUCiEUCsUZXezYsQPBYBCSJCnCRJIkqvEELa3T6/Vi9erVyM/PV9LlyEbS6HieR1ZWlnJddWqdLMuwWCy4+OKLwfO88j7gZB0V2VwuFwYMGIAff/wRbdq0MfQdJKOwsBDfffcd5s6diwsvvBAjR47Eo48+iqysLFPnZZz+MCHEYDAYDMOIomhq0mzUejeTqVpkHGZ7+Bw4cMDUGIwIBLMYqWVyuVw1GkckElEmxBaLRZmok0l6LBZDOBxGIBBAOBxGcXExioqKsGHDhmpGEAAQDofh9/uxePFiNGvWDOFwWDkfEQPHjx9X0sSSGUn0798fN998s+aYY7EYrrrqKpSVlSljVxtKkHqc9u3bK4YF5NzkcfPmzfjvf/+LN998M87UghhYlJeXw263QxAExR2P4zgl/YzUfQmCAEmScODAAeRceTceXnUEFt4KjrfCcuEEbPxwBgAotWA8zyu1QOQ1SZIwZswYFBYWxjnJ2e12Q32j9O6Jxo0bIycnB++++25cWp7aZKOgoAA//vhj3Ovq7dJLL8V5552HRx55JK62jdC1a1eMGjUK999/v+H7jobVasWkSZNwww034MEHH0Tnzp0xY8YMjB49mjnMMZLChBCDwWAwDGNWCKWaVpNu7HY7Tpw4EfcamSCHQiEEAgFlFT4YDCqT4WAwiEgkgiNHjmDv3r3YuXOn4tZG+h/FYrE4dzcy4U58vmzZsoxHhDweD+bOnYs1a9ZUc50jm9frhc1mQ1ZWVtzKf7JoQKJNNCm8J8KIrPiTSTJJIRw0aJDyGpk8y7Ks1Ag999xzaNy4MXieV+pbyOR/06ZNsFqt6NevnyIsLBaLIi62bt2KtWvXJhVCXq8Xy5Ytw+OPPx53Xp7nYbPZIAgC7rrrLiWSQcwryKPNZsONN94IQRCQnZ0Nh8MBSZJgs9ngdDphs9nw2WefYc6cOfjpp58gy7JiA5+sZmXIkCHY0fF8RDgBZGnAlhXEU089hbvuusvwd+z3++MiQon3dSK0pqwulwstWrRA3759kx7DcRyaNWuWNI0tKysLkiQlrfHp0KGD6YWEZOTl5eHVV1/Fpk2bMHHiRLz00kt44YUX0Lt374xcj3Fqw4QQg8FgMAxTWVmJxx9/HC1btoxbESfPiZAgE261nbMsyygqKsKJEyfQu3dv8DwfVzdAJt+VlZW49tpr0aBBg7hJufqYZI+JE3n1I/BHnUIwGMQvv/yCTp06Yffu3eA4DrIsA4AyUU/c1Cvjv/32GxwOB/r166cUtatFAHlN71GWZQwePDij39dzzz2Hfv36Kavy6sk9iUgNGDAAO3fuVMRL4qb+/W02G6xWa9zkfv78+Zg1axa+//57zTGsXr0af/vb33Ds2LGk42zatCkWLFiAAQMGaO7v1asXbrjhBtx9992a+1etWpVUBAEnJ/ccx2Hq1KlJe2AtXLgQ5513HqZPn570PHocOnQIFosFDofD0PHhcBgy4kWSbOFrLI5JROimm27C559/jtatW+seb7PZdGvTaEIJ+KOmK5mhiZY1uBqn05nxRYCePXti/fr1WLRoEa655hpcdtllePLJJ9G4ceOMXpdxasGEEIPBYDAMEwwG8f333+P48eNxTlRks1gssNvtmvs4jsP//vc/hEIhXHfddYprW+LEe+rUqbjgggswaNAgxckqMUpAjk18Ldnx5HWLxQKbzYY+ffoAOFnD8eabb+Laa69V3m+Er7765NbPlAAAIABJREFUCn/9619x5MiRTH7cpsnNzcW4ceOS7icCsU2bNimnD9Fcuoz0bRJFUdeFj1afI4oivF4v7r//fk1xHolEIMsyAoEAnE5n0nOYmZy73e4apXRGIhHISPjMLVb4/TUbA8/zuP3221FaWgqn04nDhw/rHi+KItUG3IihiZ6zoyAIuuegjSFdWCwWjB49GkOGDMH06dPRrVs3PPjgg7jjjjtOCct2RuZhQojBYDAYhmnSpAkWLFiAHj16pPT+NWvWYOfOnbjnnnuSHjNr1iwMGzYMf/3rX1MdJpWsrCx4vV4lxaqmkyIjtU6nAkQgBgIBw5GMRDiO0013dDqd1Im1zWZDVVVV0v1Wq5U6eY/FYti6dasifkl9DdnuuOMO3V4zZpuRejyeGtdayRoisiqFMcyZMwcAsGzZMtx22226x9IaptrtdkNCiCZM9c4hCELGHRPVeDwePPPMM7j55psxefJkvPrqq3j++edxySWX1NoYGPUTJoQYDAaDYRizrnG5ubnU4n2yup9JysrK8PDDD8Pn81FrlrTIyclBeXl5BkZW+5BJbapCiFb35Xa7TQsh2n1HUv9WrlxJH7DONcxGhGoshFBdCP24aw++++47pVYuEAggGAwqG6lbI0YO6jq2TZs24cSJE3j//feVtFR1CmskEsEnn3yimx5mJDXOarXqfl+0CB5NjGWKzp07Y8WKFfjkk08wbtw49OjRA7NmzaKmEzJOX5gQYjAYDIZhzK6aG0EQhIzbZ0ciEUydOhXDhg1Dx44da/z+Rx99FMFgUDEIOJXhOM5UdMtms+laorvdbqplus1m07V9pqWtpSNCZ8RqXI+srCzDTUSBk2KCg1xNDK1cvQYbvlyj2FBrpXomPrdarRBFEYcOHYIsy7j//vvjarvUz3/77Td4PJ6k43I4HIZqhGjCVO8ctNS5TMJxHK6++mpceumlmDVrFnr27Ik77rgDU6ZMSXkxgHHqwoQQg8FgMAxjNiKUlZVlaJJVk8aUqSCKIjp16pRS48V9+/bhww8/BAAcOXIEzZs3T/fwEIvFEAgE4PV6UVVVFbf5fD74fD74/X74fD4lGqC2nCY1MqFQSHGJ04raRCIRBAIBDBs2DBaLBbFYDGVlZSgqKgLHcbDb7Thy5AiCwSBKS0vRsGHDauew2Wy6IsTj8cTZSWvhcDh0G9TSbMCJa50ZHA4Hjh8/nvL7GzRoUKP7VpIkWOQoolz8VGzYtX/FuwteSWkMGzduxODBg7F3796kx8yYMQNLly7VHZfZXl9Wq1VX2NLEc20gSRIeeughjBo1Cvfddx8KCgowa9YsDB06lFr3xjh9YEKIwWAwGIYxK4SaNGmCYDCoOykmfVwySaq9ipYvX44RI0Zg/PjxWLBgAc466ywIgqAIEeI8p3aP09oAxH0O6n425HliNID0oCE9WYjtsyiKiqW0lkmF2khCjSzLEAQBHMehTZs2aNGiBaxWK9xuN7p3745IJILy8nL8/e9/R/fu3ZNaIdOiMaR/TCQSSVqLRYvG0CKRNDFmBLP3tiRJkGVZMQGhkZubCz4aRDThWH8odYFgJDKm7jukhZEaIZoQol3D7GedTlq0aIG3334ba9euxaRJkzBv3jzMnj0bXbt2reuhMWoBJoQYDAaDYRizExjSdyQajSadLNIK49MBzd43kS1btmD8+PHYuXMnpk+fjsmTJ+PNN9/EmDFjMGjQILjdbrjdblitVsiyHGcJnmgPTp7v2rULY8eOxY4dO5ReNeqmm7WVcrd06VJMnToVnTt31tw/c+ZM3HDDDUmFq5FoDBG3ekKIVsCvFzFKhxAy0oyUBjGecLlc1GPz8vLAhfyANd7FLhBKfRGAmEboQRMpTqeTGq2h/f3QUuPqqkZIj4suughbtmzBSy+9hP79++PGG2/EY489lnQBgHF6wIQQg8FgMAyTjpVci8Wiu2peG6lxZMJK49///jdmzpyJn3/+GSNHjsSnn36KRo0aATgZUbn44otx7rnnpjQGl8sFq9Va54XatML3Bg0a4OjRo0n3G4lC0AwZaBEhm82G3377TXe/WSFkxCSABvk9jQghURQhB6qPORhJ/fdo2LChITMSWkTISGocTQjR7LMz/TdOmgX7fD5UVVXB7/fD7/ejqqoKgUAAPp8PgUAAgUAAfr9feQwGgxgyZAheeeUVzJ49G5MnT8Y///lPli53msKEEIPBYDAMkw4hRNJqJEnS3E9SzTKJnqvVkSNHMHXqVCxfvhw8z+Oee+7B2LFjq9XHxGKxpM05jZCOyXs6oE1qGzVqhOLi4qT7jUaE9L5TWg2Qw+HIeGqcJEmmUzJ53nhDVEEQALn65xaOGKt1Iml4pB4sGo3i119/hSzL+PXXX5WmxurHSCSC7du349ixY5g7dy4CgYCS1klqyoqKilBZWYn58+fHpWyS80SjUezfvx+vvfYa9u3bF7ePjGP+/PkIBoPo2bOnEgElGwAUFxejqqoKnTp1qhYpJceUlpYqAr1JkybIyclBaWkpKisrlYbAsiyjtLQUAKpFYAFUSy9Vp5iS5yQKS5wHBUGAzWbDgAEDwPM8Zs+ejRtvvBG9e/c29L0wTi2YEGIwGAyGYdIhhGguZTVNW0sFLSH0zjvvYMaMGdi9ezcuuugiLFq0SJkMaUFcvVJFkqR6IYSITXMycnJydJt0GhFCtGtIkqTbUFWSJKodM5kAh0Ih+Hy+atbSVVVVyn619XQ4HEYwGMTatWt1C/yNYDTSSMZ8fPcWNGjZEXI0AjkaQZW3Epu+WY+mTZvGiRd17Rh5JPVlxBHOYrEgGo0qRiAWiyVuP6lPi0ajcDqdePnllzWFQSwWg81mw6xZs5T7W30Ni8WCDh06oKysDEuXLo1zpiM9m6qqqtCyZUuMHDkyrpcTOWbTpk1YtGgRpk2bFtccWd18+dixY7j11ltxzz334Nxzz8W+ffvQpUsXtG7dGpWVlSgpKYEsy+jWrZvSC0ydWsrzfFqiOFdeeaXuQgDj1MawEOI4jgewCcCvsiwP4jjuDgB3AmgHIE+WZc2YNcdxMwFcCcACYBWAybIsyxzHnQPgPwDsAJaR1838MgwGg8HILOkQQrTogNn6AVmWcfz4ceTk5OjWtQQCAVRUVGDq1KlYsmQJIpEIJk6ciFtuuQVNmzalXofWSJRGsihGLBaLS9sJBoNKWg/pJUOeV1VVoaKiQomikRX+xD4z6udqR7lIJILffvtNd6Ln8XiwfPly3HvvvcrEPBaLKc/37t2LyspKdO3aVZmgJ24cx6F3796KoQCJAABQVvV5nkd+fn7cfvIYiUQgyzLcbnfc6+pIgizLyuRXbRlNNtKbKi8vT5mQk2gBz/PYu3cv2rRpk/L3CdQsItSzZ09EnnoK9w55CpKUBUmSYLVaERneDdnZ2UrUgzxKkgSbzQZJkiBJEkRRzEgdGYl0bt++Xff8xKFQvUWjUYRCIdxwww3o0KEDzj//fABQ3AfJvdekSRNF3CXeq9FoFDzP47bbbsPIkSPT/vvVlIYNG6KsrKyuh8HIEDWJCE0GsBMAMZ9fD+BTAGuTvYHjuHMB9ANw5u8vfQXgwt/fMw/ArQC+wUkhdBmA5TUYD4PBYDBqmZo2nSTGAeqGjhzH4eDBg8rqNFnhJhNskjbz3XffKRNdknJDtlAoBL/fj2g0ikAggL1792Lbtm344YcfcPDgQYRCITz44IPo0KFDtdX0aDSK7du34+uvv8Zzzz2Hs846Cy+99BIGDRpkyO2LIEkSTpw4kcrHCOBkVCoajSriQL3Sr+77ol4xJ8/JivehQ4cAAF27dlVWwtUb6S9DnOXIRJq8LggCvvjiC2zbtg3XXXed5jg7d+4Mnufx/fffKyv2aiHBcRyCwSCmTJkSJzzUEYAbb7wRkyZNwhlnnBH3e5FIxc0334wePXpgypQp1SIEiZ9BYh8d8nk4nU6UlZXB6XRq/h4DBw5E9+7dMXPmTM39r7zyCubMmZPy9wnQ3dTUeDwe2O12TJgwwdQ10w35/ki0JhwO48knn1QECrlHybGJUSeLxQKfz4fNmzdj+fLlSuPhxo0bK999aWkpfD4fHnvssWrfrcViwaZNm8BxHCZPnqw71smTJ2PdunVJhTHtMfG51r5oNAqPx4MRI0Zk/LNn1D6G/sXnOK45TkZ1ngBwNwDIsrz19316b5UBSABEABwAAUARx3FNAHhkWd7w+zkWArgGTAgxGIw/AWpxQFbryab1czAYjCvkTXZsstfJtbxeL44cOYL27dtXS7lR95pRiw61gIlEIvj5559RWlqK2bNnx71X7YxGJg9kIpGYvmOxWHDBBRfAZrPFpeyQrby8HJIkYcCAAQCgmd5Dcv/JY05ODrp27YopU6bgkksuwZ133on33ntPmaiT9/r9fhw+fBjBYBBZWVnYuHEjOnXqlNL36PF4cOzYsZTvAxIRKioqirPFrklKz6RJk3Dw4EF8/PHHKY9j586dupN3nufRsmVLrFixQnP/t99+i4EDB2L06NFJz+FyuTBw4ECcffbZmvubN2+O7t27o2/fvjUbfMI4Q6FQUiFkxILbbAE/z/OGhVB9SY3UIhaL4aOPPlKcEAsLCzF//nzk5OSA53nccMMNyM7OxiuvaPc7Gjp0KPLz8zF37lxEIpFq9/Ty5csxduxY7NmzR/P9o0aNwsaNG6njfO+999CvXz9ceOGFcYLZ6JYotLW2F154AXl5eal9kIx6j9Glr38BmALAXZOTy7K8geO4LwAcxUkhNEeW5Z0cx/UE8Ivq0F8ANNM6B8dxt+Jk5AgtW7asyeUZDAZDl0AggGXLluHNN99ERUUFunXrBlmWlckSScdRC4vffvsN4XAYsVhMSVNSN61MLEwmgsDn8ykr4CQqol6VV/eISfyZrOKTNBm948nKuDoiQLY1a9Zg3bp1GD16tOZqu5Hu9bNmzcLXX3+Nl19+WbF8JsXFZKyiKCqpO5Ik1Th9Z9iwYcjLy8NLL72U8nf7wQcfVPt52rRp+Pnnn3HttdeiQYMGWLduXcoiCDjZHNZMA06yOu50OpMaR9Cw2+2m66loAoFmp+zxeKipjDRLdJKqaAZabygjznRmhUlNIkJG3NnqCpvNhrVr1ya1jg6Hw9Q+QeT71IqyOp1OXWOKYDCIpUuXIj8/X/k3lCwgqX/2+/249dZbcckll9TwNzRO27Zt8euvv2bs/Iy6hSqEOI4bBKBYluXNHMddVJOTcxzXHkAXAKTt9iqO4y4AoPWvhGZ9kCzLrwB4BQB69uzJaogYDIYpKioqsGzZMixZsgQrV65Ejx49MHr0aOTk5GD37t3gOA6SJClCheO4OFchl8sFl8sFi8WiTPQTBUeikOA4DnPmzMHixYuxadMm5fXapnnz5li3bh1uvvnmlM/Ro0cP7NmzR4nW1GfKysrwwAMP4MMPP0QwGMRtt92GFStWID8/H//5z3+wdu1aU+d3Op1K2k+qkOL6VIUQzU3NCDTHNo/HoyswsrKyqG5rtLqwdDgF0upz7Ha7rhmCERtwGoIg1Cg1rq576cRiMcVKmthMl5WVgeM43bG5XC6UlJQk3U+rJXQ4HLr3TDQaRUFBAV588UUlDdRisSgLLeTfULvdDo/Hk/Q86YBm1ME4tTESEeoH4GqO467AyTQ3D8dxb8iybCRZcgiAb2RZ9gIAx3HLAfQFsAh/iCP8/vxIjUbOYDAYBikuLsZHH32EDz74AF999RXOP/98DBkyBHPmzFF6wmQaklphs9lq5XpaZGdnG56kJSMdFsM0aD1IjDB+/HgsWLAAvXr1wty5czFo0KC4Zp42m830NWgTayPUpLhei9oQQu3bt0dpaSlisZhmdM/j8VAjG7Rojd1uN31v0qJOkiTpRvDSkRonCILheyInJweBQCCup1YsFsPMmTNx/PhxJQ02MR12/fr1AE5GFBOtqdX1MSSNFEA1e2p1+ipJOyWLN8SEQU8INW/eHFu2bEm6XxRF3d5UtCij2+1Ghw4d0KtXL93PsDagNYdlnNpQhZAsyw8AeAAAfo8I3WtQBAHAYQC3cBz3JE6mxl0I4F+yLB/lOK6S47i+ADYCGAXghRTGz2AwGLpMnz4djz32GIYPH47Ro0fj7bffzvgKoha1ISBopGMFOh2TRRrpiA6sXr0aM2fOxMSJEzX3S5Jk+vewWq2mIwg0gUDD6XSaXq2mmT60aNECoiji22+/RZ8+fTTfT8wu9JrkmonWGMFisVDFFq0JqBkXQKBmQkgQBFgsFpSVlSE3NxcAsGfPHjzwwAMYOHBgtfRXl8sFURQxZMgQXHnllcjNza1mfU02juOUVDJZlpP20CFR70SysrJ0/wbtdjvVDl3vu3C73br/HtYnE2EmhE5vUu4jxHHcJJysG8oHsJ3juGWyLI/9vf5nvCzLYwG8B6AQwA6cTH1bIcvyJ7+fYgL+sM9eDmaUwGAwMsCRI0cwa9Ys3HnnnXU6jtoQEDTcbrfpMdAmQOkgKysrad8aMn6r1YpQKISvvvoK7du3RzAYVGqyQqEQvF4vsrOzk14jHYXqPM+npbjeTEQnXUKINoZGjRrhp59+0hRCJEoUDAZTFkI2my0t0TVajRDNtt3sPSGKYo1+D0EQUFlZqQghYo2dzJiitjDS98nMZ+1wOHQ/64qKCjRu3NjYYDMME0KnNzUSQrIsr8XvdtmyLD8P4HmNYzYBGPv78yiAcUnOtQlAtxqNlsFgMGpIfn5+vWiGVx8cohwOh+mJe1ZWVsbz5Rs3boytW7cqP3///fc444wzlJ8tFgs8Ho/SNFOdzqO279WbSKVj0ltTK3EtaOlcNFwul+kxGEkTzM/Px/79+3XPEQwGkzq2EeGaDEmSTPdqodUhSZKkuz8dNUI1FUJWqzUuhSwdixXpgPZZmo0I0YTQ8ePH4/7m6xImhE5v0t+Ji8FgMOoR/fr1w8qVK+t6GGlJxTKL1Wo1nXJSG4KuSZMmKC0tVX6urKxEw4YNldqHyspKrF27FkePHoUsywiHw6iqqkJlZSUqKipQVlaGUCik6ySVrtV/s98pLZ2LhsvlMi1MjUT5eJ7X/bxo0RjafiNRKRq0a9Bqz9JxT0iSVOOIkFoIkXqruk4NS4cQou0nqXtaFBcXm25umy6YEDq9STk1jsFgME4F+vfvjx9++AFVVVVJV6trg/oghFwul2IHLopiSueojRS/vLw87Ny5E+eddx7C4TAOHTqEhg0bKrUMDocD3bt3N3WNdEx601HLZFYIpaPuKx3mFMT9LtX96bABNyKE9O7ddNQIORwOVFZWGj5eEAR4vV7lZ9IbKxKJxJl71DZ6qXGyLCufNWlqnNiw2Ofz4ciRI1i/fj28Xi+sVqvyd7169WqsW7cOwElzCOKguWXLFnz11VcQRREHDx7Eu+++i+3bt1frZabueUZ+DgQCCIfDyM3NRaNGjeKcPq1WK1avXo1ffvmF2lRVa5/f72ftW05jmBBiMBinNTzPo1mzZvj111/RsWPHOhsHKSivS4gzlM/nS1kI1UZEiEzALrvsMthsNrRo0QJXX311Wq+RrtV/s9EYWsoYDZr7lhGMRLby8vJ0m8fSRAhNNKYjxY9W10IT8TVNjYvFYvD5fIr9NBEGe/fuxYEDB5R+Y6TnDhEKXq9X6T1WVFSEDz/8ECUlJXHHjRw5EhzHKa+pe5kdP35cmeBrNTQOh8O44oorMHv27Bp9fmpkWUa/fv2Uf7fUbnTqaJXb7a7WFJmkpgLA4MGDFYHp9/sRi8UUUdy8eXPceOONAE7aZX/66aeIxWIoKChAIBBAIBDArl27qvU8I0YPaqc70rfs6NGj2L9/vyKayGfWpUsXTJgwIa69gVZTVa39Bw8exOjRoxUnPsbpBRNCDAbjtMflculaudYG9SEiBNBX5mmko46CxvHjx9GtWzf83//9X8aukY7vw+l0mrZ85nne1Dlo7lvJkGVZmSwGg0FUVVUhGo2C53llRVw9yZYkCQcPHkRJSYmyj0zayc/bt2+v9j6ylZaW4ssvv0SPHj2USTtZzY9Go9i8eTO2bduGN998UzG+SGxOTCbipIkxmeSS/SUlJXjwwQexZMkSBINBRKNRZX84HMa6desgyzIuuOCCuGuQ65SVlaGqqgq5ubnVJv/kOXCyETNxZVNbT/M8r0z4//vf/yqiQC0ULBaLMonnOA4ulwtvv/02Vq5cqTTYBQCv14tGjRrB4/HERTdsNhv++c9/onHjxhg3bpymE9yHH36I5cuXmxJC7dq1w3XXXYd77rkHkiQpdXhEgNGaJM+fPx8zZ87Ezp07Nffv2rULXbp0QSgUQuPGjWG1WjF37lyMHTsW77//PiZNmoQ1a9akPP500qVLF9jtduzevdtUA2ZG/YQJIQaDcdqTjvoDs6QjApEOrFbjne+1sNlsGY9sFRUVISsrK6PXSPZ9qAVCOBxWJurkZ/Uq8+7du7Fnzx68/PLLCIVCCAQCygQ9FAopx6r7wJBJN3leVFSEGTNmYNOmTXG9YhIn++rzqs9VUVEBv9+Pbt26Ka+rz6+e6CdGDjiOU5zvyGSafAYA4swniNhq1apV3Oo/2WKxGMaMGQO73a65v7y8HCUlJfj222/jRAF5rKioAM/z+Mc//qFMtNUbz/PYsmULCgoK4PF44poYk4ab5LOORqNwOBzKPiIkKioq8MMPP+CSSy5RIghkYm+z2cBxHBo2bIhWrVrFiQu11fSZZ56JsWPH4uGHH1aaJZvhzDPPxIQJEzBhwgTlNZfLhVdeeQVNmzbVfM9PP/0Eh8OBe++9V3O/3W7Htm3bTI1LFEV4PJ6UU8JoboadO3dGw4YN8X//93/VegUtWbIE559/fkrXzQQcx+Hiiy/GmjVrmBA6DWFCiMFgnPbQupzXBrXtGkcspH0+H/x+v7LFYjHs2LEDfr8/bpKsnqRrTaTJtmfPHni9XsybN08RCOpV+3A4glA4jFAkgnAkilA4gkgkinA0hmD45GsAEJOBUCSCUDiKmCwjHI0hFju58v7Djz+i/PAunHfeeXETd3UEIrFBJBm3+nV13UJi/n8gEEAsFlNSf8gxJP1FPQlP/JlslZWVCIfDePHFF6tNmNWTaDLZJq+Jogi3262kJ+7YsUNJx0mcvJMoAJn8k5/Jo9VqxZQpUzBp0iTFetlms0GSJNjtdmWz2Wyw2+2QJAkOhwOSJFVb1Q+FQojFYooDn5qLL74Yffv2xRNPPKF5v7Vo0QILFixAYWGh5v6BAweie/fumDlzpub+rVu34tJLL8WuXbuS3tMejweLFy9Gt27ahrMFBQWYOnUqRo0apbl/8eLFmD59Oh555JGk16CxaNEiXHbZZbj99tvT0oxZyzbciLEEzbq6rh0RHQ4HNeUz0TGP8P3332Ps2LEpXzsTFBYW4uOPP44TrIzTAyaEGAzGaY9RIRSJRODz+ZR8f7WICAQCyqN6I6v3fr9fWZEmq/lkC4fDKC0thdfrxbBhw5ReN6WlpXFpP0RUJE7kE59rbYnHktV+de671WqFJbslbnn9a1jFTeAsPGDhwXEWcLxVeQ7yM2cBLDxgsYDjTj6C64gm4+dj5m4rwHEnj+EskH9/hOVkag84AMLvWw1p0A0Q33sAl112mTJ2i8UCURTjfieO45SUJLXwIPuJmCD71Ln/xcXFKCwsxN69eyGKIlwul3INWtoP4frrr4fL5cJrr71W81/yd44fPw673Y7XX3895XNMnToVI0aMgMPhSPkcAHTrxgKBgO75jRgV6EUijRgVJDqsJUKzIk+HQDh69CgcDkfajFckSar2O9EMNCRJ0jVkSIfpgyiKpt0MaSmbye6JkpISFBQUpHztTNC/f3/cddddiMVihv99YJwaMCHEYDBOe4qKijB8+HDY7fZqNQzqKAhxQ0rckq32qzu5k1V6svpPntvtdng8HmXilJeXp+zPzc2Fw+GIW/1XT96NblrvIbUGiXTuPxSBzjVPO1Gb+XIJP2eCzgWZrRFq0aIFeJ5H8+bNUz6H2ckicDKNyWydkdVqRVlZmWkhpEc4HIYkSUn3m23AaaT2LNFhLREjDVXN1oWRiFI6hVDi90/S/JJht9tNf5Y0zFpGO51OqhBKFLaxWAzbt29HcXExevfunfK1M0Hz5s2Rk5ODHTt2mHasZNQvmBBiMBinPS1btsRFF12EESNGKKKFpA+RVCIiYDLlChQIBLBo0SLMmzevTp2HbFYL6rZayhhHy82JAxoul0sRv6l+H6IooqKiwtQ40tFIVBCEGlk2pwIxB0iGkb4zeoLPSO0ZLapEc+BLR6QkGAym1X1SKyJkRNBlOvJlVuTb7Xaq6BRFMe53v+OOOzBv3jxcfPHFcLvdKV87UxQWFmLNmjVMCJ1msPgeg8E47WncuDG6deuGXr16oUePHujSpQvatm2Lpk2bIjs7G06nE4IgZFSgkJqMuq5VsgvakaL6RlWGDfZInY+ZVe90NFRNh5FHbQghm81mKi2N9nsambzTUuMEQci4QEi3hbLNZqt2DxpJjaNFhNKRGpdpW3dRFOPuiYqKCowaNQqff/55ytfNJEQIMU4vmBBiMBinPU6nUzelprYgPXzqEpc9tf5BtU1Yzvx/T7TJO410iBiHw2H6HOmITBm5ht44eZ7X3U/7rIykc9lsNt2/Y5oQSkfKGHHZSxdaNSe06JqRfkhmhZDVajXVZNfpdFI/68QIXzpSTTPJRRddhHXr1tWLNgiM9MGEEIPBOO1xOBx1LkAA89bV6cApnRpCKIrMR65oKUg0PB6P6f5UtHoPI4iimPH722q16k4AaWlptN/TSP2OEcMF2jXMCgSz94wWiWMykhqnJ1IEQUhLs2AzESGXy1Xj79Nut9d5mwM98vLy0KpVK2zevLmuh8JII0wIMRiM0x6Xy8UiQr/jcSQveK9PxCxW3ZqUdGA2Na6uPs9RAAAgAElEQVRFixYoLi42NYZ0FPDTUsbSAS1CQIvGOJ1OQ6lxekJFy2paDS1qlY6IkNmGxIl4PJ5qaY3qvk1a0O6ZdNUImfnbILb0tO9TLYS00gTrGyw97vSDCSEGg3Ha43Q6Mz5RNEJ9iAg1cNnr9PpGsVgzPyky+300b94c5eXlpsaQDiEkSVLGhT4tIkSL1tBW+3meh8Vi0RU6kiRR99MiRvVNCLnd7mrfnVkb8HTVCJlJjSNNcGnmFerfs6ysLG1ufJmisLAQq1evruthMNIIc41jMBinPSw17g8auBxA6vObWoMXT05qbTZb5q5hMs0pJyfH9PcpSZKpCSc5R6bvb4vFoju5NhIRon3WPM/D6/XC5XJp7qf9nk6nkyrGzIpOs3VliXg8nmpCiNyXsiyrGhWHlceSkhJUVFRg37591fZHIhEcPXrUtDA2mxpHfo9QKJTUdj0xgrdr1y5s2LAB+fn5iMViKC8vx+TJk5M24a0LLrjgAtx4440IBoMZ/beJUXswIcRgME57WGrcH7jdLqAkDPApdDqtRTiLxfTqPQ2zqXGtW7c2fV+dKhEht9ut60wnCIJupMSIEEqW4keaDXMch7KyMpSVlSmTftIHLBKJ4Pjx4/j111/x3nvvIRwOK82OSWPjkpISeL1efPrpp3H9w7TORcSFWmCEQiEcOHAAgpC+vx0t8eZwODBixAiMGDECHMcp0RXSJDkQCMBms+Gcc85R9pON4zjEYrGkYtIotDokIxhpsqv++/v444+xefNmpTfac889V+/qcbKyslBQUIBvvvkGF154YV0Ph5EGmBBiMBinPU6ns84FCJD+tJpUcDgc4KIhyPVcCMViUVitmf0vipa6QyM7O1uZOBsdqyzLysQ+HA4jEAjA5/Ph2LFjcRPyxFV+rZ/JxH337t1YunQpmjZtqnkseU7GSoRBKBRSjnG73ZAkqdrx5D3Lli1Dr169kv5eVVVVmDlzJtauXVutWXEsFsMvv/yCqqoqtGzZUtlPmhuTWhKfz4cOHTpAEATEYjHls5JlOS4itXDhwjgBQJ57vV5Eo1Hcd999cY2QyUa+64kTJ1Z7r9ZGzkGeExOCdNauaQnETZs2IRAIKJb7NaW0tBSNGzc2Na50CCFarVOik2Bubi4GDhyo/Lxy5Up8+eWXAE72YRNFMaXPgxCLxeD3+1FVVYWqqir4fD7luXpTv15RUYHKykpl83q92LNnD9566y0mhE4TmBBiMBinPaxG6A/sdjsQrf+5cdFIGCtXroQkSZoTZ/Vr6gm31jHqn9XH+nw+3HfffSgoKIhLPUp8TBQV6p9lWUabNm3AcRzC4XDcNROvry4eJ5PrcDgMSZLQrl27pBNzrUm/+me/34/vvvsOM2fOjJvEk0eyqSf0ZCMiobi4GKFQKE5AkOc8z8Pj8ejeuzk5OWjXrh2GDRsGq9WqnJs0Kv7uu+/w4osvYs6cOcqKP2luzPM8RFFE7969sXLlSrRv3x6iKEKSJIiiCFE86XTYvXt33HbbbRg3bpzmGKZMmYJt27bhs88+09xfVVWFBg0a4MCBAynfl+ecc45pgaAmKyur2udqsVjgcDh03xeJRODz+eDz+ZSol9/vRzAYRGVlJSKRCHbt2qXcr4n38IEDB3D48OE4UUwiaOFwGF9++SVKS0sxaNCgan9D6ghcdna2cl8T4Uqe+/1+XHDBBcjKyqr2dxmLxbB7924AwJo1a+L+Psh5SkpKAJyMFEYiEWRlZaFPnz4oKChAJBJBVVUVotGo8ncnyzKCwSDKyspQXl6OiooKVFVVKZ9LOBxW7n/1Par+eyD3G2m47XQ64Xa7kZWVhRYtWiArKwtt2rSpd5EqRuowIcRgME576lsfIVmWlf/AjWyhUChuMkNW8tX7yOvkuGAwiP379+Pnn3/GgQMH0KBBAwwbNgwnTpwAot3q+qNA5dZlyA4cgYXjYOEAK89B5C2w8hZwAH77fgPuvnulsiLPcZwiAhKfq0WB1uuJq/zkeSAQQHFxMfLy8iCKInieh81mg8vlipvIk039M5mk33vvvRgwYACGDh0Km81WbZMkSXkk71FHj5YvX47x48fj0KFDKX+WQ4cORX5+PubOnZuGb0abJ554Ap9++mnS/R6PB+eddx6mTJmiub9NmzZYvHgxrr766qTnkCQJTZs2RdOmTTX3G+mvk+mGqmb76ySSlZVVbcyjR4/GO++8o9h9JwoEMulPvJ/VwhUA/vKXvyj7SVod+buoqKiAx+NBly5d4u5tm812MmrMcRAEAe3bt4fFYoEgCHHnP3jwIN566y38/e9/j4uaqVP4xo8fj759+6Jnz55x7yWiIxAIwG63Y+rUqejbt2/cuQRBgMVigSRJaNu2LRo0aIBVq1bhs88+w65duyAIAhwOh/I3S64riiLOOuss5ObmIj8/H7m5uXFbOqLMPp8PjRo1QlVVVb03d2DQYUKIwWCc9oiiiP/973/417/+VS21yO/3x6ULqQUIEStq8aEVNUhWY6AVhRg5ciRGjRoFWZbjVur1tsRjEic/5Gcy0SCTjubNm6NPnz4YN24c9u7diw8//BCbN29Gs5vngDdXQmAarqIIezZ8kHS/w+HA5u8PolGjRhkbQ5s2bfDMM8/gqquuSvkczz77LM4//3wMGjQopfeTiJcZaG5p6cDpdFL7BOnVELlcLmoaIq2mhNaryOFw6L6f53nFgCDVCXG6+wg5HI5qNWL79+/Hddddh8ceeywutU8dwRBFERzHJT2vIAjYs2cPcnNzNfe3bNkSr732Gi699FLN/fPmzcPLL7+Mf/3rX5r7Dx06hPfffx/3339/0jHMmDEDw4cPx+DBg5MeAwALFixAy5Ytcfnll+seN3DgwLjUubrC4XDgnHPOwVdffVUvxsMwBxNCDAbjtMdms0EQBLzxxhvVUobUqTnqFAmHwxE36UhMnSCrp+pH8jxxs9vtyspnRUUFlixZoqT71CYPPfQQVq5ciVve2VXr104kyunn+teGsUQ6HMDMniMdQsjhcGQ84ulwOKhCiKQyaeF0OqmmEDTzCiNNW/X2cxwHq9WKsrKypAKBBq2XUSrnS/z+RVFE8+bN0aZNm5TPKwgCKisrk/6exHQhGaIoUu3SafetKIqG7ssTJ04gOzubelx9gvQTYkLo1IcJIQaDcdqTm5uLhg0bYtOmTXU6jubNm2Pbtm11IoIITqcTcjiI5GvJtQQvQJblpKvatdEklFbMbQSzhgvpsHSWJAnHjx83dQ4aNNc3Wp8gI0KI9lnSLLrtdrshZzo9gUDDZrOl1fBES1AkNhpNBavVqhuho4lKmtAx0quI1lsqFoshEAggEAggKytL91z1jcLCQtx99911PQxGGmBCiMFgnPbUF7MEl8tV52YJDocDsXCgzrtpc9aT9Rx6PUbKysoyOgaa5bMRzEaE0lG3ku7JuRa0iJDD4dAdg8vlMh0RSuw7kwgtfQ84+X2Z+beAVodUE9577z3FIrtVq1aIxWIIh8MoKipC69atTZ2btpBAjDqSkS4hpPd9jRgxAm+99RYAoFWrVrrnqm/06dMHu3btwokTJ9CwYcO6Hg7DBEwIMRiM0x7SUFUvAlEbGFmxzjQnhVDdjgH4o2FqMiFks9lOGjtkcgxpqPcQRdHUOYykGNGQJCnj95XL5dK9hhEhRAr+k/0N0iJCtM/abrdTI3wkIpQqgiCYbjRK+OGHH9CwYUNMmzYNeXl5EAQBdrsdjz32mOlrCIKgu+hisVh0P0tiYZ4MWuocOUZvDCdOnMDdd9+NWbNm6Z6nPiKKIs4991x8+eWX1BooRv2GCSEGg3HaQ2qB/H4/1ZY2kzgcjrQ6TqWC0+lELFS3USkAsAj6q8U2mw3l5eUZHQMt1coItFVvGumoEaLVxqQDraL+xP00owNiMZ4sNZQmTGkpY0YMGWh1K4FAAPv27YPb7UbLli2r7U/sfWMGURTRpk0b3HrrrXGvL1y40PQ1BEHQrWWiud/RBDoRSrFYLGlvH5oQMruIUBNkWUZJSUlazVdInRATQqc2TAgxGIw/BSQ9rq6FUKYnrDScTieiwfoghPSdzmw2W8bTGdNhlmDWsc2sEJJlOe2Wzlo4nU7da9BqiIA/hE6qQshIHRLt74sWKRkwYAC++uorCIKAZ555BpMnT642hnQJ9GRRFbvdjt9++83UuY2kxtHqsfQiQmoL+mT/ptIWCWrjvgWAiooKDB8+HKtXr8Z1112HmTNnolmzZtWOq6ysxLp167B161bFopxsAOIa/MZiMRw4cADffPMNZs+enfHfgZE5mBBiMBh/CogQysvLq7Mx1JeIUDSYWTc2I1gE/dXg2hBC6UiVNFvYLkkSIpEIunbtGme9rrZdN9KgNdM1Fm63O21CyO12J91vJjXO5XIZSo3Tu68ikQiefPJJ/Pjjj7j//vvxn//8J84Kv6SkBO3bt9e9hlFsNpumEOJ53rSBBs3djpglyLKs2Ty4uLgYPp8Pe/fuVe5Fraaoq1evRlZWlmbz4p07dyIcDuO9996Le10QBOTm5mLLli3Izs7GSy+9FCe6YrGYkuZYWlqKqqoqBINBOBwO5OXloVGjRsjPz0fbtm3RvHnzpH/DRUVFeP311/H000+jdevW2LZtG8aMGYMOHTrg7LPPxplnnolt27bB6/VClmX89NNPyMvLQ4sWLZQIJjk3ea7eAKC4uBhFRUVo3Lixqe+LUXcwIcRgMP4UOByOOjdMSIdDmFkEQYBcD2qELFb9iVo6jAxopKMOyW63mxJCxCzhrrvuqtbZPlmDVrvdrjR1lSQJr732GubMmWPq96DRuHFjBAKBpOLRaJ8gvWNoBfy0aAxNrAF0gUCiGMOHD4fT6USXLl3gcDiUHj5vvfUWvv32W3z22WcIBoMIBAIIhUIIBoMIBoNKPzKyqV+LRqNKP7KOHTti9erV2Lp1Kw4fPhyXhhcMBrFy5Ur84x//gNPpBMdxcb3KQqEQfvnlFxw+fLhao+VgMIiKigocO3YMEyZMwN13361EN9TNWGOxGDZt2oS7775bs3eZ3++Hy+VCz549qzUyJpvb7cbf/vY32O12CIJQ7ThZlrF//3488MADcfui0Sj8fj/Kysrg9Xoxb968uHuK4zj4/X7YbDY4nU6lEbHf70dFRQWqqqpQVVWF8vJy8DyPyy67DLfeeiu6deuGcDiMpUuXYtGiRdi0aRPatm2L1157Dddeey0A4Ntvv8W+ffuwYMECbNmyBRdeeCEaNWqEaDSKm266qcY23oMHD8YXX3yB66+/vkbvY9QfmBBiMBh/ChwOR507ttVGLQcNjuNgketWjAEAZ9Wvz3E6nRmvEXK73abvCYfDYar4njT2HDFiRFLjCBrJUqxIxIhYFPt8PkSjUQQCAQSDQYTDYQSDQUQiEfA8j4KCAmV/OBxWjgsGg8qK/ieffKJM6Mk5QqEQduzYgV9//RVPPfWU0piYPJJog8/nw6233ooGDRrENSsm+/fv348777wTL7zwgjJ2dfTr6NGj8Hq9uPrqq+MaHpPHyspKyLKMpk2bxqUwqR8jkQjuuece3HvvvUpERB1di0aj4Hkejz32mGaj3RYtWuCKK67ATTfdFNfslPQcEwQBPM/H9SQTRTHuuBUrViAYDKJTp07o1KlTtWvccsstOHToEFatWoVgMFit+bIgCGjcuDH69u2riAQijImwnjJlCqZPn47LL7+8WjNW0niZ4zhIkqRZ4zN//nw8/fTT2LVLv+dYXl4e3n//fZx33nk1uGNP0r17d0yYMAHjx4+v8XsJ69evxz//+U8MGzZM+axatWqFK6+8EkuWLNGsCWrXrh3+8Y9/pHxNNaROiAmhUxcmhBgMxp+CdKSbmMVut5sujE8HVtT9GDirfv1AgwYNUo7WkAmteiNpZup9Pp8Pu3fvxq5du+JW3NWTdDLRTtxHto0bN6KoqAgvvPBC3DnUq/TkWBINIAKCCApZltGxY0dYrVZlQq41iU/cR56TVX5JkqpN7AEok16S7qOeVJPHiooKBAIBZSJPIgPkWJ7nAQBjx45VIgA8zyuT6srKSvA8j48++ihuwq3eZFlGVVUVcnJyIIoiPB6Pcpwoiti4cSMcDgeGDx+uXFP9/o0bN2L+/Plo3bp13PvIYyQSwSOPPIJVq1YpYsRisSjvJ59DMBiEIAhx1yfb7Nmz8f777ye9ty644ALTzWtnzJiBpUuXYv369Zr7+/Tpg1WrVpm6xhNPPIEOHTqknMZnNI3XTL8vWi8jI/Tr1w/9+vUzdQ4zFBYWZjway8gsTAgxGIw/BQ0aNMh4XxoadZEaF4vF4PP5lIhAMBhEJJChGqFYFJCj4GJRQI79/nMMiEUgR6Mnf45FIMeiCJYcxrBh02C32+OKkslGohcff/wxYrEYIpGIZnqP+jl5BBCXipP4SDa/3w+e53HuuefG7UtME1K/RoQEEQkHDhyA1WrF/Pnz415XT77Jc1EUlQiBw+GA1WqFzWYDADz66KPIy8vTfF+yn9ViROsYq9Wa1NErkfbt22PmzJkYOnSo5n5So3Hs2DHNcxYVFaFt27bYsGFD0mvk5ubi8ccfTzpx9Xq9OHr0KO69917N/c2aNcOKFSvw/PPPa+6PxWJ45JFH0LdvX0W41ZTa+BulOeylA7PW8EasyAG6O50etFTIU4GuXbuivLy8Wnoj49SBCSEGg/GnwOVyUVcuQ6EQvF4vfD6fkofu9/vh8/lQXl6uFO2qV/rV9QHqfP3E59FoFL/++ivKysowYMAAZV+yaIVWYbLepj6GRAmISFCv7FssFsCVi9Dy2XA7nbBaAAsHWC0Ab+FgtXDgLRxEnoOVt0DgeQi8BaLAwyZYIVp55blNsEISBUiiAJsoQhT/SAdSr9afnPxLcelCo0b9AyNGjMBf//rXuKgDGevHH3+MF198EQsXLoQgCLDZbHHpR+Tc5HVJkuKuaYSxY8eisrIS77zzTsr3VZ8+fTB8+PCkk3cjvP766xg0aFCdFlzTJs4///wzXC5XUmFFTB/0oFlX01zhaM1nSfSHiLZUSGZgkE4kScq4AKDVY9EwKoTM2MeHQiEIgpDSe+sLFosF/fv3x5o1azBmzJi6Hg4jBZgQYjAYfwqKioowcuRI3HLLLUrkQO2ERCY/6km5ekJPcvDVK++Jx6gn+uo6AbvdrkzOt2zZgp49eyrHq9+rnugnbuo6A/VrWte3WCyw2WzKexKL25s2bYr/N/fROk0pycnJQZ8+fXD++edr7j9w4ACcTicGDBiQsTGkw6Y4Hek9FoulzmvHaBPnAwcOwOPxJN1vxAbciBCiOQnSrkEEnRkhlOn01dq4hllreCOpcaSHUKqpcUeOHEGvXr1Sem99orCwEKtXr2ZC6BSFCSEGg/GnoEuXLujWrRvuuusucBynOHORAmMSWcgkx44dw4oVK/Dkk09m9Do06sPE20jDR70+JukgHc0xY7GYaQtus6v36YAm6H7++WddISQIghKVTBY1olmi22w2qn22USGUKsmMJ9IJx3EZv7fN3lNOp5P6OfTs2RO7d+9GTk5Ojc9/7NgxlJeX4+yzz051iPWGwsJCTJ8+PS12/Izax1jyMIPBYJziHDx4EP3790fnzp3RqVMntGnTBk2bNkV2djacTmfGRRBAb0pZW5gpcE4XoijqjsHtdmdcHNAiEEbwer3Izc01dY76IExpE+eSkhJdIURSGvUiPjQhREsZq0lEKFVCoZDhuqpUIWYNmSQdqXE0IRQOh/HSSy9hyJAhNT7/4sWL0blzZ6VG7lSmffv2cDqdePzxx5Xmq4xTBxYRYjAYfwrOOuss/PTTT3U6BpJuordqXhuYKXBOF3a7XXfSbGRFOh1jMBsRkiTJtAlHMBjEiBEjkJOTo1k3lqwGjPxcVlaGEydOoEOHDprOcrFYDCUlJRBFERaLRdOBLhAI4JtvvsHtt9+uOUYjUQyr1YqKioqkgonWw6c+CKFIJJLxRRFJkjIufAVBMB0RMpLqmIr9fEVFBZYsWYKLL7441eHVKziOw5o1azB06FD88MMP+Pe//w2n01nXw2IYhAkhBoPxpyA3NxfHjx+v0zGQ2qLS0lLTUQQzWK3WpBNS0muFmD0k2kWrN7VNtNo2OtEuWv0zMZnYvn07LrnkkqRjDAaDKTt/GSUd7l35+fk4fPiwqXMIgoCGDRvirLPOiqsBS3SAU9emJdaL7dq1C02bNk3qIBeLxdCyZctqtW3kuIceegj79+9POkYjIkQQBN2eSpIkUVPj9ISQKIpUMWY2utawYcOMR0tdLletmCWYubeNjDEVIbRv3z7F0nvatGkpj6++0axZM/z3v//F+PHj0a9fP3z44Ydo3bp1XQ+LYQAmhBgMxp8Cp9NpesKqhqzKJ/aNUTd5TOxNQ15bunQpmjdvXk04aG3q3jOkOz15H3GrSxQbeueNRqM4ePAgbrrpJjz44INxTTHJONUTZXVPmERDCK1+McnMHshGTBx69+6NioqKpJ8viVxkknQ0uLVaraYL3x0OB6ZNm2bKvGLw4MGmxpCfn4+dO3cm3W/k9xQEQTfKJwgCfvzxR6xduxbRaDTOaTEYDGLlypU4cuQI5s6dq9mHqaSkhNq8lud5U1G+vLy8jFtbG3HYM4tZEw9JkqiiUxTFGn9Wfr8fbrdb92//VEWSJMyfPx+zZ8/GX/7yF7z11lu46KKL6npYDApMCDEYjD8FwWAQc+fOxf79++PSj/Q2LUGjjoAQu161GNBabVc/b9SoEWbPno0GDRpo2kEnOsWRc9lsNjidTuU8RFQk2konvjfRjY6sFIuiCLfbDUmS4o4nTSczzQsvvKCbqlgbzlrpiAjRCvyNYLFY6rx2jJauRcwQ9BBFUVeoHDp0CF988QW++OILpcErsUy3Wq3Yv38/YrEYXn75Zc2Gqka+K7O1MbVx3xmJbJnFarWauqdEUVTSJvXML2r696OX8hqLxZQFGfLo9XoRDoeVSB8RzWTxRmvhiIjsSCSCQCCAY8eOoWHDhnEOoer/AwDgoYceQnZ2tua4li9fjmnTpkEQBM1Gy1rNm/1+PwYPHozp06dj4sSJzEShHsOEEIPB+FMwZswYdOzYMWl6Ee1n9WvkeV3W+Zzq0CZRgiBkfLLodDpNixhJklKqk1BjNo0pHdD65xhxbLPZbFSzhAULFmDUqFGa+6dMmYJt27bhs88+09zv8/mQlZWlOwazQqg2RApxpgsEAkr0KhQKIRAIKFHeyspKxGIxBINBlJeXo7KyEn6/H0VFRQgEAoqIJ6KARIyJOPj222+xfv16/O9//4tLZVX3KSPtAxJr0Mhzu92Oc845R0mtVL83Foth165dWL9+PV599VXNpshkI58neV8oFFKMSjiOU44DENfUmOM4Rcw5HI5q/dC0HkkTYfJvvCzL2LFjB/7yl78o51Ufx/M8VqxYgdzcXDzwwAOa39fHH3+MjRs3Ytq0aXEuoyS6rfXcZrMhEAhg3Lhx2L59O1588cXTwhjidIQJIQaD8acgJycHV111VV0Pg/E7NOvq2rDPNtIrhUZ5eTmaNGli6hz1wTWOVp9jtEZIr76GFtWh3RNErOlFKWKxGObPn48DBw5opqcmPifCgfy8c+dOeL1enHnmmdRmxomGFMleJz8Tt7hIJAJZlpXJPYC4Sb7P54Msy8jJyVGiwZIkKaloubm5sFgscZFc9aPdbkd2djaKi4uxatUqTJo0CS6Xq1rkWB3NTkyFFQQBV155JS699FI0atSo2iIQz/MQRREdO3aEJEmawkRLuPA8j/Xr1+P6669HZWVlnCDR+k579OiBsWPH4o477kh6X+gRCoUgSRK+/vrrpMcMGDBAN5LZo0cPdOvWDY888kiNr79hwwaMHj0a/fv3x/vvv2/63wpG+mFCiMFgMBi1Dq2+oDZSlFwul+lIjN1uVyb/ZLWbrPQHg0H4fD5l5Z5sfr9fmYCHQiGUl5dj0aJF2LNnjzI5V9d6RaNR+P3+uPSfZCk6iav+yZznErfy8nJde2wj/XUEQaAKGb0Jp8vl0o2ukckyiYhoEYlE8Nlnn2Hz5s1xEQD1xJw81zKiIJGXiRMnVqt904oYawkKkh6beMzixYvxwgsv4IcfftBNQd2wYQOuuuoqU81+n3/+ecydOxc5OTlYvHgxPvroI/Tp06dG53C5XPj73/+OTp06pTwOLT799FNcdNFFhpzVZFk2FXkXBEExgEnmBkgz8XA6nSn/O+FyufD//t//wxNPPIHevXvj/fffR+/evVM6FyMzMCHEYDAYjDphw4YNWLJkieaq/dGjR1FRUYEhQ4YgFovFTfjVk3qtVfloNKq8rmUVTVJxiCBp2bKl5mq+3jnIcxLJWbRokdJQUb36rd7I6ndi6mWTJk3w008/Yf/+/dWMKsh7SC2XIAiw2+3weDzV3OWSGVioX0usuyH73n33Xaxbty7pd2U0IqQnhGgTTiPClFh0JxNCHo8HTz/9NIYNG6Z7nmRs3LgRV1xxBW655ZaU3q/Htm3bcMYZZ1DtufPz800715E0rS+//BJPP/00CgsLMXnyZMyYMcPwOYgwTDfffPMNbrrpJkPHpmrRTeA4Tulv1aBBA81jaOmtZk1VLBYLHn74YZxxxhm48sorMWvWrKTpoYzahwkhBoPBYNQ6Pp8PJ06cwJQpU5QVevXGcRz69OmDJk2axIkDdWpOYsqNWnBoCRF17YDFYkF5eTnGjBmDJUuWVBMKarGiZYBB9j/11FP44osv8OWXX8JqtZ6yRdFer9e0EKL1CaLtN7LybrVaUV5ejvz8/KT7zbjGuVyujKUplpSUoHnz5tTjjPTwoUG+L57n8eCDD6KwsBCDBg3C1q1bsXTpUkNRlkz1G9u9ezcOHz4Mr9cLl8uleyxNPBtBEARUVFToCiG9eyZd98Q111yDDlpf5V0AACAASURBVB064JprrsF3332HmTNn1kojb4Y+7BtgMBgMRq3TunVr9OzZE2vXrq2zMXi9XowdOxYDBgxI+RwejweyLEMQhDSOrPahmSXQ9gPG+gTpTTidTidVxNCc6Yy6yyXD5XJlzNq6srKSavYAGLOuppH4ffXt2xfbtm3DwIED0aFDB6xfvz6pmCTQar5S5cwzz8Rzzz2HIUOG4LzzztM9NhWL7kRokS273Y4dO3Zg1apVmm0QtmzZghMnTpgaA6Fr167YuHEjrr/+elx++eV45513krrVMWoHJoQYDAaDUetIklQvnNLMrrxnZWVlZNW8tqF9FjabjTo5p6UY0ZwCjbj40aIUZl3j0hGNSYbP54Pb7aYe53K5lNTPVOtjtIRrs2bNsGnTJtxyyy3o3Lkzrr76arz++utJoxKZigh9/fXXsNls6N69O/VYWhTRCKIoUt0Mv/nmG4waNUqJFpOUOovFglgshssuu8zUGNRkZ2dj2bJlmDp1Knr16oWPPvoI3bp1S9v5GTWDCSEGg8Fg1DrpsJ02C5kAhkIhiKKY0jncbrepVKz6As022qh9Nq1GSO8793g8VBFDm9QKglBvIkLLly/HuHHjlMn0zz//bKg2hIif0tJS5ObmpnTtZMJWkiQsXLgQ8+bNw+23344vvvgCy5cv15yIC4KQkb/RQCCAWCxmSBSWlZWhYcOGpq5Ha/TrdDpxySWXYNWqVaauUxOsViueffZZ9OjRA/3798crr7yCIUOG1Nr1GX/AhBCDwWAwah273V7nAkJdSJ1qeorZQur6AukBdNddd8UZV5B+M3v27IHX60VBQUGc4YT6eWlpKb7++mu899571frIyLKM4uJijBw5MukYmjZtSk3FoqXG0QwbaBBBrOcyZpQNGzbA5/Nh4cKFSgPkc845h/q+WCwGjuOwYsUKjBgxIqVr6wlXjuNw22234ZZbbsGjjz6KPn36YMqUKXj00UernSMTf6OSJFGd3Ai7du3CM888Y+p6tP5Wdflv0YgRI9C5c2cMHToU27ZtwyOPPML609UyTAgxGAwGo9YRRbFeCAir1WpKCFksFqUZ5KkMmZzu3r07zq2OGE243W5Eo1FMnTo1qVGF2owimVlFmzZtko6hcePG1HuClipltVpNO3yR9DqzQshut6NDhw644oorajyGM844w1R9jlGXvxkz/j97Zx7eVLW18fckOUOGTnSmyFDGgmAFCoiCILNIgQIFGYr1wqUOyCAgICqCgIiCCOoHgigKilxkEAVBBBRRJplkvCBTgVJpS8fMyfcHd597kqbNcJKGevfvec6T5Ax773OawFp7rf2uuejRowcGDRqELVu2YNeuXaKogFzFtopQKBTgeR45OTluxSPsdrvP0VqCuyiiIAgBWxfmCa1bt8bBgwcxYMAAHD9+HKtXr/YoWkbxD9QRolAoFEqVw7Ks7GKm/kClUskyOEn1+uoOz/NQqVT49ttvXR6/ePEiWrVqFVDZX08iBYIgVGrU+iOKoVQqYTQaK5Todsfvv/+OrKws/Pnnn6hdu7bP45DzvfJm/dujjz6Kc+fO4amnnkK9evXw8ccfo3///gFzhEpKSmCxWDxKeZOb6gjcfRbuRDyC/W9RXFwcfvzxR4wdOxYPPfQQNm/ejPr16wd1TP8rUEeIQqFQKFWOSqUK6iwswd36AXeoVCrZCl/3Au4MZ6VSGfD7JNEYo9FYoSPkiVEr13gnY/CVb775BidOnMCCBQs8SoULBN4KgURERGDTpk1YtWoVRowYgV69ermNpPjKt99+i5o1a3pUUJVlWdm1jNx9JzxRRMzOzkZxcbFDLTGLxQKe5xEdHS0WN87NzcXx48dx6dIllJSUoKysDGVlZdDr9dDr9Q4100jNM+fix5cvX0ZycjKWL1+OJ598Uta9U9xDHSEKhUKhVDn3kiMkNwXpXrgPuXjiCFVF5EupVFY6O69WqytNjXNXE8YTFAqFrPQ6jUaDBx54AGPHjvW5DavVCp7nvb6OGOhmsxlGoxFnzpyBXq+H0WgUN4PBAIPBAKPRCJPJJG5msxl6vR7p6elYtWoVAKBRo0Y+34MzkyZNwp49e3D9+nUUFBSgZcuWDuO22WwoLS0VI4M2mw2FhYXIzMyETqcT9xkMBvA877AOjRwjdbzIb5IUTp4+fTpmzZoFg8EAhmHE7zq5TqVSQavVis6+c7tWqxVarRYMwzhsFosFJpNJLKQsCALi4uIQHx8PrVYLtVoNtVqN2NhYqNVq8DwPjuPKFTV2rld27do1TJw4ETk5ORg/fny1rU9WHaCOEIVCoVCqnHvFEVIqlbIiCJ4onVUH3DlCFoulShZxKxSKSh0hT2b3nY+bTCbR+DeZTKIzIHUOyEaOf/rpp4iJiXFwFMhxMqNvNBphNpvFjTggR48exaVLlzB37lzRUDabzeK10nNNJpOYDkj6sVgsuHDhAp555hksWbKk3DHpGKxWq/gqldwmBn2bNm0cCg272ziOA8/z6NmzJ3755Rdcv37dP39YAKtWrcKAAQMwYsQIUaKaQKKBpAisWq2GQqHAM888g5EjR6Jt27ZQKpVgGAZ6vR4hISFi8WXpOjSTyYSysjLExsaKx3r27Inx48ejb9++4neYZVkwDCNGHlmWFc93Lu5M0vgCER2rjJEjR6Jfv344evQoli1bBrVaXaX9/69AHSEKhUKhVDn3iiPEcZysiFBUVFTQFKdsNpuDUS1Nu3G1OZ8jvbagoKBSB8NqtcJgMKBv376i0e1sgEtn0Mkm/exKaU56jt1uh1KpRIsWLUQ5b+dzSkpKsHv3bqxcubJc2zabTbyHzz//XDxGZuulhjN5JTPxUpEHs9mMd955B/fdd5/oIJCZeo7jRFEIjuPAsqy4CYIAlUqFhIQE3Lx5E99++y0UCoV4rbQd8ioIAhiGAcdxohPCsiwuXLgA4K4xzHEcNBoN1Go1BEGAVquFIAhitIEc0+l0EAQBCoUCP/74I4YOHYqcnByfv1///Oc/kZ+f7/P1zuTn5+Ojjz5CdnY2EhISPLpmypQpSE1NxcMPP+xzvyEhIWjcuDGaNm3q0/XepoRaLBZMmzYN2dnZ5aJvrn6H5DdU0Xb+/Hns378fe/fu9fi5UTyHOkIUCoVCqXLuFbGEiIgI3Lx50+fr4+PjodfrkZWVVc7JkFanr8gpIdEEk8lUbv1BRTP+UsdDauBLi0CS1B0yi+58nvOsN8MwDqlKzpAx1q5dW3QYpAa+c3vEsXB2PMiYnJXnyDWDBg1CVlYWunTp4jKK8eyzzyIyMhKLFi1yeXzy5MnIycnBxo0bHRwcb2jYsCFmzpyJYcOG+fSdOHLkCHr16oVffvnFp+uBu8VXL1y4gHHjxvnchlxUKpVfi8sajUbExsaisLDQY4NebpoiaUPOvzUkiuRO7ttms2HWrFlYunQpoqOj8dBDDyEiIkJ0WAVBAM/zDhtxft1tn332Gdq0aYP169ejffv2Pt8LpTzUEaJQKBRKlUPks+12e1Dz3+U6QoIgAABycnLECAGZ6SdGOFkTII0qSCMAgiBAo9GIjgKpOUPWFGi1WrAsC7VaLUYHBEFwkBXu1q0bWrZsifnz58t+JhXdp1qtxpIlSwLSPqFevXpo2bIlevbs6fJ4s2bNYDabkZSU5PJ4ZGQkcnNzfVZ8A+RHCQ8ePIiioiJZtYjkKpl5UgDXkzH4M+2T/A68aVOucAVpQ+6ki1KpRFlZGUJDQ8sds9lsmD17Nt5//32EhIRg2bJlSEtL8+u/a1OnTkWLFi3Qr18/zJ07F6NGjfJb2//rUEeIQqFQKFUOiQJYLBawLBu0cYSEhMjO/VcoFFi/fn1Q70OtVgdE6pjAsmyVqOOxLFupGIInxTH9Ibcs51k2a9YMRqMRJ06cqDTK5m4McgUb5Br/gaj15a1jo1Kp/CKHLvc+XDlCNpsN8+bNw+LFi6HT6fDBBx8gLS0tYGvpHn/8cfz888/o27cvjh07hkWLFgX135y/C9QRolAoFEpQYFkWJpMp6A5EVS+CDgSCIATUEaqqwrHuCqaq1epKDWONRiPbEZJbP6du3brQ6XQ+O0HA3d+GnDV0pACuHARB8Ev6qsViweuvv47S0lL89ddfXv19GIbBkiVLcPHiRZeS09IUUuln8t5qteLSpUt4+eWXsX379nJrcqTtOV8nPW4ymdCqVSuo1WrxeEFBAUpLS/Hll19i0KBBVSIm0rhxYxw4cADDhg1Dt27dsH79ekRHRwe8378z1BGiUCgUSlDQarUoLS31qJ5IoNDpdCgqKpLVxr1QUDXQESGdTufX9SIV4a4gKs/zlRrSOp1O9nMQBKFSZ8wdPM/Ljp5xHCfLEdJqtX6JCPnDEfrss88wZ84c9OzZE71790ZiYqLH18bExODo0aMoLi52ud5NutZMKoAhfc9xHIxGI8LCwhzWk0nPcSVhzbKseHzMmDF45plnUL9+fTEFNj8/HxMmTMDly5erxAkihIWFYfPmzXj11VeRkpKCjz/+GFFRUeI6Pl82OdeSLTo6GmfOnKmy5+AvqCNEoVAolKAQGhqK4uJixMTEBG0Mp0+fxoEDB/Dcc89hwYIFXq8tISk3vq4F8ReCICAvLy9g7et0OnF23FvxAW/wJCJUWZqTu+OeIFfR0Ntipq6QGxHSaDSyVRnlOmOEzZs34x//+Ac++ugjr6+tV68eGjVqhE8++cTn/l944QVcunTJp/4JU6dORY8ePZCSkuKwv1mzZnjssccQHx+PjIwMn9v3FqVSiTlz5uCBBx7ACy+84KA86M3GsixCQkK8Op+IPEg3AKhTp06V3b8/oY4QhUKhUIJCINYgeAvDMEhJScHhw4cRGxuLLl26YOnSpahVq5ZH1xcVFUGlUgW94GGgI0Jkxt1sNgfUEXJXMNWdiIBWq5WdGldQUCDLOfeHUIFKpZIVVdJoNKKyoK/fTX/cBwCcOnUKr776qk/XCoIgS7iCtCH335mKCi+npKRgzZo1ePLJJxETE1OhyEegSE9PR3p6epX26QqSSlgdqbpYHoVCoVAoEnieD1oNHoJarUaXLl1w4MAB7N69GwqFAo0aNUK7du1w4MABt9cLgiBWrw8m/hAJuBdw951wF6UICQmR/Rzy8/M9doSduXXrFq5duyY7ksKyrCzDkszSyxmHvyJCOTk5Pks+u0uF9LQNf0QJK/qNp6amYuHChRg0aBAOHTokq5/qhMViwU8//YRZs2Zh0qRJYm2w6gaNCFEoFAolKISHh6OwsDCoY5BK67Zu3Rpff/01rly5grfffhuPPfYYatWqhenTp2PkyJEur9fpdAgPD8fJkyfRpk2bqhy6A/6Y9XZHVUiduzN8eZ6v1Dh3d9wTSkpKfIoIlZaWIi4uDmFhYdBqtbDZbD6vHZHrCAH/VUvzVYzEH8/y8OHDAODVuiApgiD4RfxC7n24U68bM2YMsrOz0b17dxw4cACNGjWS1d+9RFFREXbt2oV9+/bh2LFjuH79OvLy8lBYWCgWqw0NDYVCoYDVag16mrC3VK/RUigUCuVvQ2hoqGyhArkolcpyRlKdOnWwZMkSzJ49G8uXL8dLL72EyZMnY/DgwVi0aFG5/+hDQ0Nx48aNqhx2OfLz82Ut8L9X8CQ1rjKjNjQ0VLbhHB8fj+PHj6Njx45eXccwDFQqFe7cuSOrf+Cu4S13dl1u/RxPHCGbzSYqrZGiwHl5edDr9bBYLFi4cCFq1aol1uoi55NUKrvdLqqzOW9WqxUnT55EdnY2fv75Z4fznNXfKlKCs1qtWLduHS5fvoyBAwe6VJmTjsV5DGTfrVu3kJubW+mzmD17NrKzs9GhQwf8/PPP1c4Zys7Oxs6dO7F//36cOnUKOTk5KCgoQElJCWJjY9G0aVO0atUKI0eORFJSEpo0aYKQkBAAEIs7BzJtNlBQR4hCoVAoQYGoxgUTV44QITw8HFOmTMGLL76Ib7/9Fq+++ipiYmLw/PPPY+bMmeJsv9zK9f4gMTER+/btC2gfxLDmeT5gfbgrZupudl+r1cqe/W/SpIkYyfAG4jjk5+fDYDDAaDTCYDDAbDZDr9fDaDQ6bERty2AwQK/Xw2AwoKysTEw5ys7OxsSJE2EwGFwqfBHnw1kymjgCRqMR6enp0Ol0DqpgFosFZrMZdrsdZrNZHKPZbBZlpC0WC27fvi0W0iVpT8QxkH4mUULyeyCFUxUKBYxGIxQKBerXry+qvpFzXb1nGMZhu3PnDrRaLQYPHuzyGk9eL168CKVSicjISFERjqjNOX9WKBTi2MnaP6VSibFjx3rkmK5atQqZmZlo164ddu3ahQcffNDr71Egsdls+OOPP/DDDz/g4MGDOH/+PP766y8UFBTAbDajTp06aN68OXr16oWmTZsiKSkJDRo0cCje7AoiohLstZK+QB0hCoVCoQQFd7P/VYEnCmFKpRKpqano06cPtmzZggkTJmDZsmUYO3Yspk6d6peCjXLJy8uDIAiVnpOfnw+bzQaVSoWSkhKUlpaiuLgYZWVlsNlsaNeuXaVtkPQgnU4H4K5RVVZWJral1+uh1+tRWlqKM2fOQKlUQq/XIy8vD3l5eUhMTITBYEBpaSnMZjO0Wi0KCwvFwroWiwWbN2+G2WxGRkYGTCZTuWjBsWPHkJOTg65du8JsNotGPbm+rKwMdrsdjRo1cpjVr2y23/kci8WCAQMGVPgcLBYLYmJiYDQaHaIQRNwgJiZGNKylxjX5TN4TiWbyynEcBEGASqXC+fPnYbVacfbsWXAcJyp16XQ6URJaquBF2iFtsSyL5557DjqdDnFxceK50msUCgV4nodOp4MgCBAEATzPg+d5qNVqrFixAkeOHMGePXvE2X6pZLVUzrqyZ/XKK6/gvffew1NPPYWlS5dW+h0NBAMHDkRkZCSWLVvmcxvLly/3WLxi1apVmDx5Mjp27IitW7fi0Ucf9blfXzGZTNi3bx/27NmDI0eO4MqVK8jLy0NBQQFYlkWDBg3wwAMPYMSIEWjSpAmSkpJQu3Ztn1M5A60mGUioI0ShUCiUoKDRaIIuMuDNQmqGYdC3b1888cQTWLNmDebOnYs333wTCoUCc+bMwbFjx6DT6cSZfTL7zjAM7HY7CgsLUVRUhNLSUnHmXmqQk1nwimbeKzLobTYbCgoKoFAokJCQ4PK40WgUo1Z2u12cDSeb3W5HcXGxWANHGhkgsCyL6OhocdaXtOPKuNdqtdBqtbBarYiJicG1a9cQEREhGtkMw8BsNkMQBDGlTKlUoqSkRDSodDqdaHiTc06dOgWr1Yo2bdqIDoIrOV/peKS1ZYjD4Vwzhhj5LMti/vz5OHfuXIXfg9zcXJSUlODUqVNQq9UQBAEajQaCIPitnsymTZvw4osv4rvvvvO5jalTp+Kdd95BvXr1fLp+3759OHv2LCIjI30eg0qlwrx58/Doo4+id+/e2L9/P/bs2YPQ0FCf2/QWfwgusCzr1b9VCxYsQFxcHHr37o21a9ciNTVVVv/eUFZWJtZme+SRR5CcnIzU1FQkJSUhKSkpIAVYLRYLdYQoFAqFQvEGjUYT9IiQ2Wz2enGvUqlERkYGMjIycOHCBQwYMACXL1/G8ePHYTAYIAiCOLuvVCpFJyc0NBS1a9dGWFgYOI5zmGEnBjRZYE9Se6TFIqWbNJIgNfalEQFi9LMsi9DQUMTGxlaaunL79m0UFxeLUQO1Wg2e56FQKGC321GjRg2cPHkS9evXB+CY0uQvJkyYgHPnzmH16tUuj0dGRuLHH3/E3Llz/dqvlFq1auGPP/6o8PitW7cQFhaGhg0bBmwM/hJLkOMAyK3JdOLECTzwwAOiI9u8eXPo9Xo0adIEGzduRNu2bX1u2xtIQVU5+KJw+eKLLyI6OhpDhw7F+++/X6Hgij/ZsGEDnn32WTRq1Ai7d+9GzZo1A94ngGopkkConqOmUCgUSrUn0LVvPEGv10OtVvt8fYMGDZCSkoLGjRvjq6++8uPIqp6oqChERUVVeFylUlVJQdXK1lup1eqAS67zPI/jx4+jUaNG4mJ+Eokj6328LbzrLRzHyaojBNx1VOU4MlqtVtaz3r17N5o2bYpff/1VnBwAgClTpuCxxx7DtGnTMG3atIBHEnieR3Fxsaw2VCqVT+sAMzIyEBUVhcGDByMvLw8TJ070uo1jx47h4sWLlaZr5ubmol+/fvjjjz8wf/58jBkzxm/RSU+gESEKhUKhULxErVYHXT7bH86YIAjIy8vz04juXapiLZQ7GXC5UQpPING82bNni+lzJOKWnZ2N5557Djt37gzoGARBkC3AIVc1TqvVynrWu3btwsMPP1wuDe6tt97CoEGDkJqaiq1bt2L9+vW47777fO7HHf4o3MyyLFauXInjx487KM+RFNKKVO9IemuNGjXw6quv4vbt25gzZ45XkdQHH3yw0qjW9OnTsXTpUvTs2RMbN25EbGysrHv1BRoRolAoFArFS9RqtSirGyz8VbAx2IVhqwKiAhZI3EWENBpNwB0hnudRs2ZNDB48uNyx69evg2VZtG7dOqBjiIqKkv2s5UaENBqNLEfqwIEDyM3NxUcffYTRo0dj+fLl4rGUlBRcuXIFffv2RbNmzbBq1apKIx5y8EctIpVKBZvNhvj4eIeUVPJeKiAh3aQiGaWlpXj99deRl5eHDz/80KOIzZkzZwDcTQm1WCyis7Fr1y4YjUa89tpruHjxIjZu3IguXbrIukc5ULEECoVCoVC85F4QS9DpdMjPz5fdRrDXOlUFKpUq4H8vjuPcOkKBdsY4jqtwfY4/UtY8HUOwU+NCQkJkPes///wTd+7cQUpKissF+hzHYdu2bVi5ciWefvppbN26FUuXLhUX+vsLbwRRKmsjLS0NS5YskdVO//790aZNG+Tn52Pt2rVui91OmTIFffr0QU5ODurWrYtevXrhhx9+QH5+PjQaDTp16oQtW7YgPj5e1rjkInXSqhvVc9QUCoVCqfYIguC3SIrNZoPBYBClnMlmNptFhTFX1yQmJvpUM0ZKaGjo/0REiGXZgNd94nm+UpEAuelano6hIkl1d+PzF5U5Y54S7NQ4rVaLkpIS5OfnY/LkyRWe949//AM9evRA165d0axZM2zatAnJyck+9+uMu3RLT/CH4AIA1K5dG6dPn0ZycjKio6Nx/fp1l45fSUkJhgwZgh9//BF79+7FAw88gOXLl2P37t149tlnMXbsWLdy+VUJjQhRKBQKheIl2dnZ+OKLL/D999+LhRsFQXDIryevJpMJSqUSsbGxouGQm5uLq1evorS0VFRbc5ZFzs/Ph0qlQlRUlDjDbrFYUFRUJBq7rVq1knUfcheVVxfkqpB5gruCqTqdLuiOkNyCrZ7AsqxfIkJy/l6kEKscNm/ejNq1ayM8PLzS82rVqoWzZ8/i2WefxcMPP4xZs2ZhwoQJflnwr1ar/ZL+6q/vfo0aNXD27FlER0fj0Ucfxc6dOxERESEef+uttzB37ly0atXKQaXx+eefx/PPP++XMfgbKpZAoVAoFIqX1KtXD+3atcPixYvFoptFRUVioUelUinKP1++fBlGoxElJSXQ6/VgWRZxcXHo2rUrGjZsKNaJcSYnJwdnz54Fz/NipXi1Wo1atWohJCTEL4aWTqcLuINwLyA3wuAJ7hyNkJAQFBQU4KeffoLZbIbRaBRrJJlMJpjNZthsNtSvX19cyC5d1G42mx1qJEnPIfu2b99eobPFcRzsdnvAU4H8JZ8tx2nU6XSynb6cnByvFu9/8MEHSE9Px6BBg7B161Z8+eWXshf/+0Ngg+M4v6aFajQaFBYWon379khJScH+/ftx6dIlDBs2DCUlJVi9ejX69Onjd3n6QEHFEigUCoVC8RKdToewsDDZEZnKiIuLQ1xcXMDaB+5GhALtINwLKBSKgN+nu5QwkuY0cOBAhwigdGH62bNnER4eDq1WK9awYRjGoTir83tpPaerV686zNBLIbWdioqKUKNGjUA9BtHhkoNSqZTlyJCCuHLwJcWvU6dOuHLlCnr16oUmTZpg7dq16NWrl89j4Hkeer0ed+7cgclkgsFggNlsFl+lTjRxqskrcZIPHjwIg8GAxYsXw2QyieeTc8xmM+Lj4xEfH+/geLtytsnr8ePHwbIsrl27hvr168Nms2HChAl4+eWXZUn6B4P/iYgQwzBKAIcBXLfb7U8wDPM8gPEA6gOIttvtt11c0xnAIsmuJgCG2O32TQzDfALgUQBEO/Upu91+zLfboFAoFEp1wx9qTvcCgiBUybqRYMNxXMBFIdylhEVEREAQBOTm5lZ4TrNmzTBhwgSMGjXKpzG8++67+Pzzzys8rlQqUVZWFnBHqCInxmaziUY2McKJQU4+WywW6PV6HDx4EHXq1HEw2KXXOl8vPU7W2L3xxhuicU8iaiRlVRpxc47AAcC2bdt8Kjyr0Wiwd+9eLF68GH379oXZbEZYWJhY3JfUdXL1St6Tz8BdJz4qKsrB4SXviUNckfKbQqHAuXPnAACffvqpy0LGZ86cQXFxMeLj4x2ca2cnW/r54MGDGDVqFPr06QOWZdGvXz8xDa668b8SERoH4AwAIgj/C4CtAPZUdIHdbt8NIBkAGIapAeACgB2SUybb7fZ/eTEGCoVCofxN0Gg0fwu1tf8VR6gqxBLcRRA8WbfC87yscapUKhw/fhwrVqwo5zRYrVYYjUaMHDkSjzzyiBhNIE6CNPWORA2k0QOTySQec3ZcpBEIUptGEAQwDFOuLo2zoU02qRFuMBjwwQcfYPXq1eWiXxUZ6tJXi8UChUKB7du3OzgNUqOeOAPkM8uyWLt2LQDgqaeewqBBgzBkyBCf/xbjxo3D+PHjodPpUFJSgvXr16NZs2YOkUBXUtXS9/5If33xxRdx5swZfPfddy6P79ixA6NHjxblrj0hPDwcnJUZyAAAIABJREFUEyZMqLbOj5S/vVgCwzC1APQGMAfARACw2+1H/3PM074GAthmt9ur//96FAqFQpFNdZ5FlFJVC+jJTLfzTL7UyCapP3q9XjTAnVN0nA1uaXtWq1U0qEl7er0eRqMRp06dwuzZs7F69WpYrVaHmfeKZucrmq133kc+6/V68DwPrVZb7lyyMQwDu91eof1BUqF8hdSHWbx4cbnIgUKhQMOGDbF//37R+CN1ZDiOczDCeZ6HTqcDy7LgeV7cWJaFIAjgOE4s3ko26b5HHnkEhw4dQlhYWLnzPGHYsGFgWRaffPKJT8/BYDBAq9Vi3759Xl23c+dOFBYWYtWqVT7164xWq8WZM2cwffp0jBgxAm+//TbGjBlTpetnWJat1AEndYa8gWGYv01K7f+CfPa7AKYACJHR1xAAC532zWEY5lUAuwBMtdvt5XIkGIb5J4B/AndlBykUCoXy98Bms3lsCEiNdqnx78ohqCjlh2wFBQXgeR6RkZFITU3FunXrcOPGjXIL6Z0dCYPBUM6RMJlMOH/+PAoLC9G5c+dy6UVk8b6r2X5nZ0D6XKSqeeQ9MbQqS7chr0Q8wl0kwJWhT8ZDjHye50X58ZiYGDz99NMVzr5XNEvvfA5xNpzH/NNPP2Hq1Kk4ceKEQ8SBnE/Sksxms0tJdEB+Cl9sbCxiYmJw8uRJl8e//fZbPPfcc9izZ4/PfXiCRqMRx+ILarUaJSUlPvcvCIJPwhCtW7dGvXr1fO7XGZvNBp7nsXr1aqSnp2PkyJH45ptvsHr1akRGRvqtn8pwp2boiyOkUCiqZAKlKvhbR4QYhnkCQK7dbj/CMEwnXzphGCYeQHMA30t2TwOQA4ADsBzASwBmOV9rt9uX/+c4WrduLW/lIIVCoVDuGeLj4/Hbb78hLi7Owdh3XnfgnA4kdQBIbn9F6UGuHAW9Xg+NRoPz58/DbrdjyJAhaNKkCUJDQ10a62Qjs/Usy0KtVov76tevL64PIOp0ZAafGO5kJp9lWdG5kDoAaWlpyMzMRN++fcVzBEEAz/MQBAEajQYcxwV11vWxxx5D+/btAyrhm5OTA5VKVanAhUqlgtForNAREgRBVkQoLCys0rVrOTk5la5R8hcqlQolJSU+O0KCIOCvv/6SNQYime7N9+7AgQOYMmWKrH4JJSUlMJlM4nqsJ554ApcuXULXrl3RpEkTfPXVV+jcubNf+qoMlmUrdVp8kTuvCvGRquLvLpbwMIBUhmEeByAACGUY5nO73T7ci37SAWy02+3iX9xut9/8z1sjwzCrAEzyoj0KhUKhVHMSEhIAAGvWrBHlsomTodFowPM8NBqN6AT4E5vNBqVSCavVitDQUKxbtw4tWrTwax/eEBYWhoYNGyIlJSVoY3CH3AiDJ3hSsJQY5yEhrpNU1Gq1rIhQSEhIpY5Q06ZNodfrcfHixYCu71CpVLLqU/lDjIRIcLsq+umK7Oxs6PV6dOzYUVa/hD///BMajcbByA4NDcXBgwcxZ84c9OnTB8888wzmzp0LlmX90qcrVCpVpd9LXyNCfxdHqDqnObsdtd1un4a70Rv8JyI0yUsnCACeJG0QGIaJt9vtN5m7SZ79APzhZZsUCoVCqcaQCEeXLl2qvG+SdmUwGMDzPO7cuVPlY5DCsuw9X5RVoVDILvLpDk+EJ9zVx5EbEQoNDa3UQH3ooYdQo0YN5ObmBtQRklsQVaPRyHaEVCoV9Hp9hXLizvz222+IjY31i0ABcPd3UZGM+Msvv4x+/fqhV69e2L59OzZu3IgGDRr4pV9nlEplpd99XxyhqqjLVVVU54iQz99UhmFeYBgmG0AtACcYhlnxn/2tyfv/fK4L4D4Ae52aWMMwzEkAJwFEAXjD17FQKBQKpfpBZlnl1kuR079er4cgCEF3hEi6171MWVlZhVEYf+FNRKgi1Gq1LKcyLCzMrYEaHR2Ns2fP+tyHJ7i7T3fwPC+7kKi3Y/jll1/86oxoNJpKU9KaNWuGy5cvo0mTJkhOTsYnn3wSkH9P3EWEKnPYKoJhmL/VGqHqGhHyyhGy2+177Hb7E/95/57dbq9lt9tVdru9pt1uH/Wf/YfJ+/98vmy32xPsdrvNqa3H7HZ7c7vdfr/dbh9ut9sDG2+nUCgUyj0FkduVa6z5isViwYIFC3Dt2jXcvl2uFF6VUh0coby8PMTGxga0D08KcAbaEQoNDXVroEZERODGjRs+9+EJch0hQRBkG9rejmH37t3o2bOnrD6leFLUVaFQYP369fjkk08wYcIEDBw4EIWFhZVe4y3uIj7/66lx1TkiVD3dNwqFQqH8LSBpTDzPV3nfTzzxBHbs2AGVSuV3w8lbWJa95x0hg8GA0NBQ9yfKwJOIkLuUMZ7nZTsQRLSjollurVYb8JpK7lIA3eGprLvNZhNl1xUKBUJDQ3H79m1kZ2fDarXi/PnzohiAVMlQKnBSp04dnD59GidOnMCIESN8HrMzOp3OY2du4MCB6NSpE7p27YrGjRvj66+/Rvv27f0yDnepcb6IJfydUuP+1qpxFAqFQqEECrVaDb1ej/Dw8Crve+PGjQDuyv0Geu2LOziOu+fXCNWtWxcnTpwIaB8cx7n9W3iyRkiOI0TWj1WmlqbVagOeTqlUKmV9J3iex/nz55GSkoJDhw7hxIkTSE5OBsdxLmszKRQKWK1WXLt2DY0aNRLrCA0aNAhqtRoARFVG6SZVpgsPD/dZ5c4VZKyeGtpRUVE4duwYpk+fju7du2PSpEl45ZVXZBvpgVgj9HeKCFXn1LjqOWoKhUKh/C2Qu7DdH2g0moCroblDbhHQqiAlJQWLFy9Gu3btHAqhkugAqY9EojrOMujSOkpkn7TmksViQUFBASwWC5KTkx0MdemWm5tbqQGpVqv9opZmNBorVEsrLCxE06ZNZfXhyRjkGMokypqdnQ0AuHr1KsLDw3HhwoVy0vBE3CAiIgI5OTnQaDQ4cOAAevTogXXr1qFDhw4V9nPq1Ck8/fTTKCoqgk6n83m8riAS80ajERqNxuPr5s6di7S0NKSmpuK7777Dv/71L1m1KJVKZaVrgHyJCAHAhQsXcPDgQRQUFMBoNIq1y5xfpQWPpTXOnH8/8fHxmDWrXCWagENT4ygUCoVC8QFBEIIeCZErt+wP7gWH0B3Jycmw2+2YMWMGgLuLvQGUq99ksVjc1nSS1lCS1m0iBt2YMWMcjHSp0c7zPFq3bl3hOD1NCasMd2tjbDYbBEFw2Pfvf/8bhw8fxuDBg/2imiY3YsBxHNRqNXJyctCuXTsUFhaCZVmxJo8r1Go1UlNTUVxcLEZh3P0+mzVrhgMHDqBTp05o06aNz+OtCJZlUVZW5pUjBNyN9F6+fBn9+vXD/fffj5UrV2LQoEE+jSEQa4Rq1aqFl156yeG7Wrdu3QoLETsXGCb1xqS/nxUrVmDGjBl+LzfgDhoRolAoFArFB0hqXDARBCHojpDcBf5VQWxsrJhuFShIfacxY8b47EzwPC875cidI8RxHH7//Xfs27cPp0+fxg8//ICdO3fizp07GDt2LDp37oxXXnlFVm0qjuNkrUPS6XTgeR7z588HcNdYT0xMrPSa7777TowINW/e3CsRj4sXL+Lpp5/2ebwVQZxrX+A4Dt999x0+/fRTjBo1Clu2bMGHH37odeQqEHWEfvrpJwB3i8YOHz4c27Ztw+HDhxEZGelVO1JYlkVJSUmlzm4goBEhCoVCoVB8QKPRBN0RUqvVAV/47g6e54PqCNntdjEa4yqdzWq1QqPRoLCwEDabzW91Ypwh7c6YMUN0aEhaEHlvMpnEtDppahB5/8svv4BhGNSuXRs2m81hPQxJ55N+dnXMaDTi6tWrqFu3rstxdujQATNnzsT+/fsRGRmJtm3bYuHChcjIyMCePXvw0ksvoWfPnrKU5eQqCUZHR8NkMmHKlCkeX5OcnOzzGPr164dPPvkEGRkZXo3THXIcIcLIkSPRrVs3dO3aFUlJSdi0aRNatWrl8fUqlarS1Dh3x50h3zOr1QqFQoENGzYgNjYWV65ckeUIKZVKlJWVVbkjRCNCFAqFQqH4wL0QEboXnDGe51FcXOzy2OrVq/H99987rA8ICwvD6tWrxfQ0AOJ6HemaAek2depUrFu3TixaKlX+stvtDmlsZCG8NL2NYRjwPI9z584hKSkpYM9CpVJhx44d0Gg0DqlAJB1I+l4QBIf9HMehrKwM58+fx8qVK8ulEpE0InK+NK1Iem7z5s2Rk5NT4Rhfe+01vPbaay6PdenSBQsXLsSTTz4p+znIUY0j6ndy8EY+e9iwYXj88cdl9ecKf9XbqVmzJk6fPo1x48ahY8eOeO211zBp0iSPnHpPI0JxcXEVKus5b8B/xSfCw8NhsVhw8OBBtGzZ0ud7VKlUQZnUoREhCoVCoVB8oKioCGPHjkX79u1hs9kqnOXXaDSoXbu2eFy6mFh6Hvks3S9tz9lRsFqtKCkpQXp6elCfg16vx4YNG9CuXTuH+7FYLDh//jzq1q2Lzp07g+d5sCyLJUuW4F//+pdodLlyZpzX6ZSUlGDu3LlITU2FRqOBWq2GIAgQBAEcx3lkEKakpODzzz/HnDlzAvYsBEHAmjVr0LhxY5+uJ+Pr1q2bz2MIDQ2t0DH1BE9kwN0hNyLkrzF4Gqls27YtlEolNm7ciP79+8vqV4q/1dUWL16MQYMGYcCAAfjmm2/w1VdfIT4+vtJr3IklEEdozZo1YFlW/J3yPA+O48BxnPie/N6kEZQlS5bghRdewPXr12XdGykSXdVQ+WwKhUKhUHxAEAQUFxdDr9eLBVZJJIAYECqVCkVFRbh69SqUSqW4T6PRICIiQlw0TIwNlmWhVqtFQ0QQBNEIkX5Wq9XgeR7p6em4ePEiPvzwQ9E5Io6Us1PlrOYkdVicnS9nRSdnB0eaelZYWIiIiAj069dPNJTIvWg0GqSmpjosgJ4+fTqMRqMYFdFoNB47M3IYO3Yspk6dijfeeMMhGuVPWJZFUVGRz9f7o5Aoz/Oy1o15UhjWHXJrS/nDEfJmDAzDYOjQoXj33Xf96gjJLSzrikceeQRXrlxB7969kZSUhM8++wx9+vSp8HxPxRI6d+7s029w7Nix+O6772RHc8gaoaqGpsZRKBQKheIDiYmJyMzMRGZmZtDGwHEcLly4gGXLlrlUNJO+EieMOGnEaZPOAEvTtsh+cj6JwPA87+CMffTRRzh27BimTp3q0Zjj4uIC/FRcM3z4cIwbNw67du1C165dA9IHx3GyozH+cITkGKX+cEI4jgu6I+RNRAgAhg4ditWrV/t1HZk/1gi5QhAE7Nq1Cx988AGGDh2K4cOHY+HChWLNJCnu6giRyKvJZCqnJugpcgsBA3cdIZoa5x3UEaJQKBRK0LgX1gjFxcXhsccewzvvvBO0MTRs2BC//vpr0Pr3FIVCgdGjR2P06NE4c+aMz0ZfZXAcJ2tW2x8OgFwBDbVaLWt9DyA/KhWM9Lw2bdogMjISs2fPrnANlbcoFArZz7Iynn32WfTu3RtdunRB8+bNsWnTJtx///0O57hLjSPjNBgMPv8mWJaVnQLIsmxQRFeqc0QosDF0CoVCoVAq4V5whDQaTdBV4zQaTUCNPX/y5ptvQqFQYOLEiQFpX+6stj8cALmS6qGhobBYLLJT/OQYtUQUQw7eGtYMw2DevHlYunSpbKEGglKpDPhvo06dOjh//jw6duyItm3bYunSpQ6OjyeqcHLHybKsx5EvqcKhyWRCWVkZCgsLYbFYguIIVeeIEHWEKBQKhRI07oVCoveCMxYSEnLP1xEiKBQK7NixA2vWrMGSJUv83r7ctDR/OABy5cw1Gg0sFgt2794dtDFwHOeXFEFvfxsDBgxAbGwssrKyZPVN8LdYQmX9fPzxx/j6668xc+ZM9OjRA3/99RcAz+oEkYiQr3iTCilN4VWr1QgLC0NMTAxu3rzpVvghEFRnsQTqCFEoFAolaNwL0tUajSboBVW1Wm21iQgBQP369fHNN99g2rRp+Prrr/3atj8cALmOkFarlZ0aFxsbi5UrV/rchtyIEElVkivB7e3vU6FQYNWqVVizZg0uXbrkc9+EqogISenRowcuX76MkpISNGnSBDt37vTYEZLjsHmTGsdxHK5fvy5K5pvNZhiNRthsNnTs2NHnMfgKdYQoFAqFQvGBeyEao9Ppgp4ap9PpqpUjBAAdO3bEsmXLkJGRgaNHj/qtXVILyFd4npedliXXEQLuCoEcOXLE5+vlrhlhGAZKpTIo6XkpKSkYOnQo0tLSfO6bEAwlNJ1Oh/379+Oll15C//79MWXKFLfRNblrmTiO8/j6YMlkV4TFYqm2a4Sq56gpFAqF8rdA7qy3P9DpdEE3KtRqdZWk//ibYcOG4eDBg+jduzdOnTqFiIgI2W3KXZ/jD9W4kJAQXL161efr7XY7iouLcePGDZSVlUGj0XjdRk5ODvbt2+fzGID/FtiMiory6Xo5Edu33noLiYmJ+PTTTzFy5Eif2gD+K59ts9lEmXqTyQSDwQCj0Si+kqiI0WgU5e0NBoMoWU/2S2uNOUvjO0vcWywWtG3bFvv27YPZbMaDDz6I6OhoUfae1PAikvv9+vWDVquF1WoV1/CQzW63o7S0FHa73cFZlx6z2WyIj48X95GNtEfatNvtaN68ufg5IiKi0gLAgaY6R4SoI0ShUCiUoOEPyVi53AsRIX8s8A8Wixcvxv79+5Geno7vv/9etmyy3HVj/ogIyXWO161bhytXruChhx5CkyZNcOLECYSHh3vVRlRUFAoKCrBq1Sr07t1brLdlMplEg9/Z8CcOgvT93LlzERsbW67+ldFodKh/5aro8JEjR2A0GnHhwgWH4r2k+HFhYSFCQ0NF49zZ8LfZbBgzZowoCy815J1fnQ198moymTBs2DAMGzYMDMM4FA1WKpVQKpVQKBRQqVQO+6TS9+R9ZRvLslAqlQ6vPM+jfv36aNiwIT7++GMcO3YMMTExGD16tHgdaXvw4MEu+5SO8c0330RpaSkWLlxYbqwVXcswDARBKHev5HNpaSkaNGjg83fVH1Rn1bjqOWoKhUKh/C1QKpVBdwDCwsKCvkaI4zi/qWwFg71796JevXo+yyaT2X4yy379+nWcO3fOpcFPHAFi2Es3s9mM27dvo6SkBC+99JI4u++qwK3ZbBbXV0j322w2HDt2DBaLBe3atXMw0ivaCAzDICIiAjdv3oRKpcLevXshCAI+//xzPP/88149k8jISADA008/LdaucmUIS9+zLOtgnAPADz/8gPvuu088Rl45jgPLstBqtQ77SdFijuNw48YNXLt2Df369SvX1969e7F9+3bMmTOnnFNAxqJQKJCamoonnngCmZmZFdbnkjoxzseHDh2KmJgYrFixIuAFgyvj999/R3x8PH7++WecPHkSn3zyidcR0N27d6OgoACpqal+G5dOp3OraBdoLBYLeJ4P6hh8hTpCFAqFQgkaZrMZLMsGdQzh4eFBc4TIzLrVaoVer0dBQYHoDEjTdZw3ZwOfpOZUdK6zwe9s/JN9f/zxB/Ly8hxm912l5biazbdYLFi0aBGWLl0q1tGRpg5JownOG/DfopSkds2mTZvKzZi7m+UnBnjHjh1x7NixcjP85DxBEBwiAdJNqVTi/Pnz4DgOaWlp4rjcvQJ3DcLs7GwcPnwY165dA8uySE1NxZtvvom0tDTUrFnT4++GWq1Gp06dxMX6vlCzZk0sXboUvXr18ul6s9mMgwcP4qWXXip3bMuWLcjIyHCb9vbhhx9i/PjxmDFjBurUqeP1GMLDw2G1WoPqBAFAdHQ07rvvPvz555/o2rUrGjdujA0bNqBDhw4etyEIgt8j4EQcxJ9FbL2FRoQoFAqFQvGBGzduIC4urtx+qRqSq5n8yt47X1PROWTfr7/+ikuXLmHWrFkO50k3YsiTOh3keukYnTdPHBibzeawKL5evXoOs/scxzmk7UiNd6kR77y/opQf6Tkk3UZ6za5du9CvXz80adLEoU+p46FQKMRj0n1KpRJXrlxBRkYG0tLSkJ6eDp7nxRQjcj8cx4HnefE9cUoILVq0wNixYzF69Ogq+x46c+TIEdSsWRNTpkzx6frc3FzUrVsXAPDVV18hKysLjRs3xurVq9G/f3+P2lCr1TAYDLIMTLkFNisz3E+fPu2RRHZmZiY2btyI1NRUHD582OuJD41Gg4KCAq+uCQQ7duyAxWLBmDFjcPjwYcycORO9evXCuHHj8Prrr3v0dwqEI0TSBMvKyqDT6fzatjtI5HXdunV+EcYIBtQRolAoFErQKCgowHvvvYd3331XjBwQB4MY3NKZemdj3/m9s7Ff0XvpvoSEBKSmporRKWK0O/dN+idGvDQCId3IMWcHxrlvcoxEE+4Fvv76a3Tr1g1dunTx6frWrVtDEASkp6cjLS3Np3ZIRCiYCIIgSwGsRo0aMBgMsFgsYFkWK1euROfOnTF8+HC89957+Mc//uG2DY1GI/s5yFXgU6vVLsdgMBhw69Ytj6MhmzZtQp06dTBjxgzMnz/fqzGoVKqgp8/euXNHFOBo0aIFLBYLZs6cibS0NPTq1Qvbtm3Dhg0bUK9evUrbCZQ4jEqlQklJSTlHKFAiBr///jsmTpyIQ4cOoUWLFmjatCkaN27s936qAuoIUSgUCiVoLFiwADNmzADP8w5rBFQq1T3lIPyv4I2Eb0X07t0bixYtwqBBg7Bv3z60aNHCq+vvFUdIjgNB1uDcuHEDtWvXBgAMHz4cERERGDx4MAoLCzFx4sRK24iIiJAtGy23OC1JcXRmy5YtiImJEdcxuUOhUGD79u1o27YtunXrhq5du3o8BnffSZJe6S4iY7PZYDAYYDAYHNaaScUmSDoq2Udeb9++DZZlYTKZcObMGdG5aNGiBa5cuYK0tDS0aNECy5cvR6dOncTokTSSbLFYsHPnThw+fBjz5s1zmPiRRp6l15FIsUKhgM1mEx0y6Zo6InjRtWtXqNVqcV9BQQGys7MxcuRIfPjhh1Cr1R4/84pYvnw53n77bVy/fh3Dhg3DBx98gKZNm+L5558Hx3Gy2w8G1BGiUCgUStDgOA7R0dHBHgblP/grdeef//wnrl+/js6dO+PkyZNerY2Rm87lD9Rqtaz6O8DdWkTXr18XHSHgrpO4detWPPHEEygoKMDs2bMrvL5u3booLCyUNQZSePPSpUswGAzQ6/UuBSikQhREbc5kMmHv3r3lxnDo0CFMnDjR68KdzZo1w4wZM9CnTx/Ex8dDq9W6VJlz/pyXlweGYaDVais8B7j73VUoFOXWsDmvQ3PeiACF9NVZtIFhGFgsFtjtdiQlJTncl0qlwpYtW7BmzRpkZWWhqKgIsbGxiIqKKteX1WpFYmIivvnmG3F9mbQfEgUn4yBphCQiFhcXV05kQqVSoXnz5oiPjxfTTVUqFSIjI9GsWTPcf//9ePLJJ9GjRw+fvkNlZWWYOnUq1q1bB6VSiSlTpiAzMxNhYWHiOVQ+m0KhUCgUSrXHnwVuZ86ciWvXriElJQXnzp3zeP0Cz/MoKytDYWGhKLhAZrmlM+HSdVpqtRp169YVzzt79iwKCwvLrdGSzrTfuHEDAGAymdC/f3+0atXK4TnIdcZCQ0PFPqR06tQJP/74I7p16waDwYAFCxa4vF6j0ciOzt28eROzZs3CggULyglOVKY2R9I8c3JykJeX59AmUXHzZf3U1KlTsWjRImRnZ+ODDz5wqSDnPL7Ro0ejY8eOePPNN8uNkbwvLCxESUmJy+ul7+WgVCrFVEdXDBs2DN26dUNGRgb279+PyZMny6qf5C9iYmJ8EqQ5dOgQpkyZgkOHDiEpKQnLli1Dnz59XD5HWlCVQqFQKBRKtUduDR8pDMNg+fLl6N27N1q3bo3Tp0+7VLXKysrCxo0boVKpxAjA3r178fbbb4trqKTqbNI6MuTzX3/9Jc6oMwwDo9GI0NBQhISEiGmX0mtKSkoQFhaG8PBw7Nu3DwkJCeUcIbmRsbCwMNy8edPlsTZt2mDv3r3o0KED6tSp41JaW6vVyi6yKwgCtmzZgj59+vh0/enTpx3WAdlsNuTk5OC7775Dw4YNfWpz3759SE5ORqtWrfDggw+6PT8xMRG1atVCfHx8hedERET4pZhvZahUKuj1+kqdipiYGGzfvh1fffUVRo0ahfXr12PTpk1BdRIefvhhLF68GI899pjbc202G5YtW4aFCxfixo0bGDZsGN577z00b9680utoRIhCoVAoFEq1x9+LuVUqFTZu3Ij27duja9eu+PHHH8udc+jQITzyyCMYN24cVCoVPv74Yxw4cAAnT570ud/Dhw/joYcewv/93//hySefrPC8S5cuoWnTphg8eLDDfn84QjVq1MCtW7cqPJ6cnIwNGzYgLS0N8fHxGDBggMNxrVYrWyRA7norIs1MOHDgABiGkVXAs2HDhhgyZAgyMjJw4sQJt2sBOY4LeqokcDcipNfrERoa6vbc9PR0tG3bFgMHDkTt2rWxdetWtGzZsgpGWZ6lS5eiQYMGuHLlSoXy5Xfu3MGkSZOwadMmCIKAyZMnIzMz06N7Baq3IxRcUXYKhUKhUCj3DIFQtdJoNPj+++9x9uxZZGRklDvOsizatGmDjh07on379mjTpo3seiitW7dG48aN3QoFTJ8+Hd27d0eNGjXKjVnuc4iMjKzUEQKA7t27Y8WKFcjIyMDmzZsdjuXn58suUqlUKmWl1zk7Ql988QUeeugh2UImH330EW7evIkNGzZ4NAa5KYL+wNtnWadOHfz6668YNWoUOnTogJdffjmAo6uYmjVronHjxhg2bFi58V+5cgU9evRAQkICLly4gM8++wxXr17FuHHjPHaCAJoaR6FQKBQK5W9AoOR9Y2NjsXfvXrRq1QqJiYlig6j/AAAgAElEQVSIjo4WF7QfPXoUvXv3Fs/leV52SljHjh1x6tQpaLXaSs/78ccfsWrVKvGzwWBAXl4etFqt7IhQZGQk/vrrL7fnDRkyBBaLBcOGDcOnn34qRoYKCwtlK3H5wxEiQgMA8Msvv2DIkCGyxgTcFS2YNGkSXnjhBTz++OPQaDSVjiHYKoLA3Wfp7ThUKhVmzZqFHj16IC0tDd9++y2ysrIcao1J17sZjUZxLZxUbc7VujjyWXqe1WrFwIED8fjjj6NLly7YtGkTWrZsib1796JFixbo2bMntm7digsXLiArKwvHjh1D3759cejQITRt2tTnZ1OdI0LUEaJQKBQKhQIgMAUfCQ0bNsTMmTPx4osvIisrS1zA/tRTT6FXr17ieTzPizVbfKWwsBDvvPNOpWlx27Ztg8lkQosWLTB9+nRs3LgRZ8+eBQCsXbtW9lqp8PBwXLhwwaNzhw8fDoVCgZEjR6J27dpISUlBVFSU2zGsWLEC4eHh6Nevn8sZeX+nxl27dg3t27f3uT0pU6dOxccff4xp06Zh8eLFFZ7nTwEPOSgUCp+/lw8//DDOnTuHrl274plnnkFISAgaNWokKtWR3wLHcaKAhXS/tIaZRqNxWSON4zhs2rQJ48ePx9SpU2EwGDB9+nRs374doaGhOH36NBISElCzZk2YTCaMHDkSX3zxRYXpct5AI0IUCoVCoVCqPTzP486dOwFrf/z48Zg3bx6SkpIqXMDP87zstTGeFCOdM2cOGjRogGbNmqFBgwZ47rnncOvWLWzevBlWqxX5+fk4duyYQ20Zg8EgzuaTjUhNk5l8IpO8Y8cOr9S6hg4diuzsbHTu3BkPPPAArFYrysrKkJycDIZhxCiBVBL63//+N4C7DmytWrXQtWtXTJs2TZTs9ocjRCJCubm5uHPnjoOohFw2b96M1q1bY+TIkRWuofElEhMIiIS2r4SHh+PgwYMYPXo0vvzyS2RmZuLZZ5/1a720IUOGYP369RgzZgw++ugjfP7559i5cyfmzZuHI0eOIDQ0FKNGjcIzzzyDmJgYv/VLI0IUCoVCoVCqPf5UjXOFQqHAkCFD8Nprr+Hxxx93aTwJgiDbEVKr1W6LkR47dgylpaWYP3++KAW9ZcsWvPHGGxgxYgSAu1LXRG3Oud6LK+lphmFgt9uhUChw4sQJr5XVJk+ejOjoaNy4cQNKpRIHDhxA7969UbNmTYe6MdKIQGpqKm7duoUdO3Zg7dq1aNSoEerWrYtnnnlGthMhjQh99tlnSEpKgiAIPrfnTFJSEp588kmMGDECJ06cqPD7ILeekj9QqVSy00YVCgVWrlyJ9PR0DBs2TKw/FBUV5ZcxJiUl4dVXXwUA1K5dG9evX8fAgQMxYsQIvPXWW2jVqlVAClVbrVYaEaJQKBQKhVK9CdQaISkLFixA3bp18dZbb2HatGnljvsjIsTzvNv7uHHjBoqKilCrVi1xX2pqKmw2G44cOYJu3bqhoKDA5zEsWrQIa9eu9eoahmGQmZkpfp4zZw6ysrJw3333VXpdQkICMjMzkZmZidu3b2P16tVYtGgR8vLy8Oeff/o0fuCukAWJPm3bts0jCWZvWb58ORISErB06VKMGzeu3HGdTifrHvwFUY3zBz169MDly5fRvXt3NGnSBOvWrUOXLl380nZOTg769++PP/74A2+++SbGjBkTcCfFYrFU24gQVY2jUCgUCoUC4K4DEeg0JEEQsGbNGsyZMwe5ubnljjuvS/EFTxyh0NBQByeIwDAMQkJCZCuVcRwne62TUqn02jGNiorCxIkTcenSJaSnp+PEiRM+988wDJRKJUpKSnDy5Em8++67PrdVESRKMmPGjHLFW8lxu93u9369xR8RISk6nQ779+/HpEmT0LdvX0yePFn2d27nzp1o0KAB6tSpgwsXLuC5556rkkhNdU6No44QhUKhUCgUAFXjCAFAly5dkJSU5DIi5A9HSG6KX0REhGyj1B+iD3KMb4ZhUFpaioMHD2LmzJkO6m/ejqGoqAj9+/d3UPfzJ48//jgSExMxe/bscsd4nr8n5LNJQVV/M3XqVBw4cABfffUVWrZsifPnz/vUztWrVzFo0CC89dZb+PLLLxEbG+vnkVZMdRZLoI4QhUKhUCgUAFWTGkf46quv8OWXX+L48eMO+50lm31BbkFUnU4newwajUa2DLjcNT4GgwFRUVH47LPPEBsbi1deecXr+1KpVCgtLcX+/fvRvXt3n8fijk8//RTLly8vJzkeHh7udr1XVeDviJCUZs2a4dKlS7j//vvRsmVLrFq1yuso2IABA9C/f388++yzARljZdCIEIVCoVAolGpPVUWEAKBevXpITU1FVlaWw35/OEJy70MQBLHOka/cC46QRqNBz5498e9//xv/93//hy+++AIxMTFo2LAh2rRpgz179rhtQ6FQwGw24+TJkzhy5IjPY3FHcnIyEhMTsWLFioD1IYdAOkLA3ef85Zdf4tNPP8XEiRMxcOBAjxUcbTYbzp49i0mTJgVsfJVRncUSqCNEoVAoFAoFQNVGhABg1apVOH36NH766Sdxn79S4+TcB1GKk+OEqNXqoDtCxCFUKBQYMGAAzp8/jy+++ALz5s1D586d8cQTT+CRRx6ptA2WZVFcXIyGDRuiRYsWPo/FE7KysvDRRx85OKBqtfqeSY2rikmCAQMG4OLFi/jzzz/RsGFDbNu2ze0169evh06nk1UUVQ5ULIFCoVAoFEq1p6odIUEQkJaW5rBWyF9iCXKNZ5VKJasNf0S25Naucf57KhQKdOvWDQMHDsT8+fNx4sQJ7N+/v9I1RDzPo6ioCPn5+ejQoYPPY/GErKws3L59G0ePHhX3JSQkID8/P6D9egLLslVW2LVGjRo4evQoJk+ejPT0dDz11FOVpgeuWLECAwYMCIg0tidU54hQ9Rw1hUKhUCgUvyMIQpUXr3z//fcRFxeHn3/+GR06dADP835ZI+QPR0iv1yM0NNSn6/3hCCkUClmOkFqtrtSxTUxMxIYNGzB58mS8//77yMrKwuuvvw6F4r/z5AzDYPfu3SguLkZycrLPY/EElUqFDh06YM6cOdiwYQOAu7Wcbt26BaPRCJ7nvWrPbrfDarXCYrHAarWKBWntdjtsNhssFgssFgtMJhPMZrN4zGq1oqSkBNnZ2bh27RquXLmCs2fPVukkAQBMmTIFw4cPR9euXZGUlISNGzeidevW5c47deqUWAsrGFTniBB1hCgUCoVCoQCo+ogQcHcdS1paGqZOnYpffvnFLwVVOY7zS1qanAiAPyJbZH2Or3jy9+zfvz/69u2Lr7/+GtOnT8f777+PRx99FK+88gpatmyJgoICzJ8/H8nJyeA4zuexeMqyZcvQoEEDtG3bFiqVChaLBQqFAomJiaKjbrFYYLPZHBwb4uiQfWRjGAYKhcLhFYDDZ6VSWe4Yy7LQ6XQICwtDXFxclUaEpNSsWROnT5/GhAkT8Oijj+LVV1/FlClTxLHabDYYjUaEh4ejtLTU4TkQJ5A8K4vFArVajYSEBL+OsTqLJVBHiEKhUCgUCgDf6tb4gw8++ADx8fHYvXs32rZt6xdHSK50tUKhCHpqnNwF+hqNxqN7UCgUGDhwIAYMGIC9e/di+fLl6NChA7RaLZRKJfbt24c2bdr4PI7KIA6LwWAQ7/XFF1/EvHnzkJmZicaNG6NHjx5ISEhAREQEdDodBEGASqUCy7JgWVZ8r9FooFarIQgCBEEAx3EO0S05dO/eHbNnz8b27dthMBjEqJI0wuT8St6bzWYYDAao1WpxH9kq+kxQKpWi06NUKjFr1izMmDHD4TqNRoM2bdpApVKJDp3U0ZN+Li0txdq1azFo0CC/PBfg7t/QX8+5qqGOEIVCoVAoFAD+qX3jCxqNBhkZGXjhhRdw5MiRe8IRUiqVsqIxKpXKK0eIOAMmkwkcx0Gj0YDneZw5cwaHDx+GwWCA0WiEXq+H0WgUzzUYDLBYLOJxk8kEo9EIs9mMPXv24I8//kBmZqaY/mWxWBxezWZzuWiK1WpFYmIi/vrrL9jtdgwcOFB0OpRKpZhqJjX2nY16abSG3J80JU16LXneCoVCfFWr1Vi3bh127dqFtm3b+vx38Bdz587Fyy+/jF27dmHBggUQBAFKpbLSTaVSQalU4sqVKxg/fjw2bNhQ6Xnk/qXOj8FggNVqhUKhgEqlgk6nQ3h4uMP1UVFROHz4MJKSktzexxdffIHMzEw0aNAADz74oF+eDRlfdYS5F6r1ekrr1q3thw8fDvYwKBQKhUL5W5KXl4eGDRv6bXG6zWYTjXWTySQa6cRoJwa72WxGSUkJhg8fLqb+LFu2zGH9hvMrOUYMa2kq0G+//YacnBx0795dXAciXSsiTZ1yntUn259//olGjRqhbt26Dm2Qvq1WK0wmk3jMeRx5eXkwmUyiFLdzxMA5amC32x3Ss3ieR1lZGYC7tXRUKpUY+VAoFA6REKVSCZZlwXGcy0gJz/PiPo7jxGMcx4mbUqkUX6XtMgwDu90uSjr36NEDarXaoR1nI16lUoHnefE9AId2BUEQ2yfXuuKtt97CG2+8gZ07d94TzhBw18nOz8+HTqfz+JqrV6/i/vvvR1FRUUDGFB4ejt9//x2JiYkenT9x4kSsWbMG58+fR1hYmOz+GzdujM2bN6NJkyay2/IXDMMcsdvt5RdUOZ9HHSEKhUKhUCgAUFpaitjYWISHh1douFeUEkTem0wm0Zi32+1iSg7ZpMav86x4bm4u1Go1gLtqYcT4J4Y+MaTJfpIKJG1DpVKJazykzoP0taIxSNsZN24c2rZtiyZNmpRri2wk/UrqSJBjt2/fxrhx43D69GmH+3D1SsYhjQIUFBRg0qRJKCkpwebNm4P2nQDuLoYPCQnBxYsXUbNmzSrte8GCBXjjjTdw5syZKu/bFYIgICcnB+Hh4R5fc/PmTTRo0AClpaV+H4/NZoNOp8PFixcRHx/v8XVRUVHYsWMHWrZsKXsM9evXx44dO1C/fn3ZbfkLTx0hmhpHoVAoFAoFwF0jr7S0FFu3bhWdD2KkOxvz0s9SB2LhwoX49ttv8dtvvzkY955w+fJlNG/eHMXFxQG8S894/fXX8dprr6FTp04+XX/jxg1MmjTJJ+NQEATEx8cjLi4Op0+f9ql/f7J9+3aEhIQExRGZPHkylixZgp9//hmDBw+u8v6d8UXAIpBpY3v27AHP84iLi/PqOmn0US4Wi4XKZ1MoFAqFQqneEOenffv2PiuERUZGwmaz+WQY1a5dG0ajEbm5uYiJifGpf38ht5gpy7Ky1zpptVoxPS6YfPnllz47hP4gJCQEhYWFQetfii+1nbxdL+YNL7zwAtq1a+eTU+OvrLDq7AhVz5VNFAqFQqFQAgLP87JkggVB8FmoQKFQICEhAbt37/a5f38h1xHSarWyBRvq16+PmzdvymrDH/w/e/cdH0Wd/gH8M7tTt6SHGukKEjyKlKNJP1HEBghKUw+xARbwsMEPLEjz7HhgAT0EbIgcoLQTpQmodAEpUhNKSEISNltmd35/hJnbhJTdndnMBp736zWv3Z2d+c6T3RC+z3zbr7/+il69epl2fafTGROLqgKRre0UzUSIYRg0bdo0onONSoQKCgpgs9kMKauyUSJECCGEEI3eRVX1zjx3/fXXY+PGjRGfbxSLxaLrc1CnStbTotOjRw+cOHEiaoPsQ5WRkYFOnTqZdn1JkmKiuyQQe4nQ6NGj8eWXX4ad1BjVLe7ixYvwer1hjZmKJZQIEUIIIUSjNxHSuyBqv379MH/+fNNbADiO0/U5MAwDQRBw5syZiMtIS0tD06ZNMW3atIjL0GvHjh3w+/1o3LixaTHY7XYUFBSYdv1gDMOE/fsdzURoxIgRyMvLw2+//Rb2uUa0CF28eBF2u92wxKqyUSJECCGEEA3P87oTIT3r7zz44IPo0qWLqWNSAP2LmQJFlWa9FeCHHnoIX375pa4y9Pjss8/Qpk0bU9eJEUVRV3dNI8Vai5DFYkGrVq0wc+bMqJRfkaSkJJw/f96U9ceMQIkQIYQQQjQ8z8Pr9UZ8viAIulqEGIbBJ598gpycHDz++OMRl6MXy7K6PgeV3grwgAEDcOTIEezYsUN3LJH46aef0LNnT1OurYqVSSOAyFqE1CQyWsnCp59+iq+++krXDYxIqTNHxkqiGi5KhAghhBCiMWKMkN7Z0uLi4rBs2TLMmzcPK1as0FVWpFiW1V2xNKJFKDk5GX6/H507dzZlrNCxY8fQsWPHSr9uMI7jYqbFwWKxhP37ra6lZURiXZq0tDTExcVh3759YZ1nVCuVzWYzbOKFykaJECGEEEI0ersh6R0jpGrevDn++c9/YsiQIcjNzdVdXriMSIQURdHdpWzt2rWw2+3o2rUrbrjhBmRlZekqLxzZ2dnIzs5G27ZtK+2apdHbSmmkSKbPBooSKL1dLcuTkJCAo0ePhnw8wzCGJS+x9P2EixIhQgghhGgkSdKVCBnRIqQaOXIkbrrpJnTr1s2Q8sLh8/l0t0IEAoGI12NSjR49Gk8++SS+/vprtG/fHg0aNMDKlSt1lRmqRYsWoWHDhqZPjaz3d9JIkSZCPM8jJycnChEVMWJMW6Q4jtM1LtBMVXP1I0IIIYRERSwlQup4oSZNmmD8+PFlzp4WCAQgyzK8Xi+8Xi9cLhd8Ph+cTidSUlIuO/7kyZPYv38/Ll68CJ/Pp21er1ebDvjAgQO6kxiLxYKJEyeC4zjk5uYiNzcXhYWFCAQCEEURd999N/bu3Ytt27bB7/cjEAgU29TFZceNGwee5zF79mwkJCSgd+/eqFOnDoYMGYKxY8ciKSlJV5xlWbZsGbp37x6VssPhcDhiJhGKpGscULQW0tGjR9GwYcMoRFWUCIXzGSmKYthMb1W5RYgSIUIIIeQKUVhYiEOHDmmJgd/vh6IokGUZgUBAq2z7/f4yt6ysLF3dr3ieNywRAoD4+HgsWbIE3bp1w/Tp0yEIAgKBABRF0R7VSp06FsNqtWqze6WkpGjxKIqCwsJCeL1eJCUlged57Xir1QqWZSEIAliWhc/nw8KFC/GPf/wj4tgFQcC2bdtwww03IDk5GY0aNYLT6YTVakV2djbef/991K5dG0OHDoUoiloMajyTJk1C3759tTVabDYbli5dii5duuCLL77A7NmzMXPmTCQmJiIxMRE2m00bzO/1epGZmYlt27ZFXPnev38/7r///oh/fqPE2mQJkbQIJSYmhtV1LVxGdOWMFCVChBBCSBW2ceNGrFq1SkseZFkutqlJQsn9siwjOTkZH3/8cUyso/HGG2/ghRdewA033KBVqBmGAcuyxRIEtaJd2rZ161a0bNky4gowy7KGD5xu164d7rnnHuzZswerV68uliyoP1tpn/+ZM2fw66+/IiUlBRaLBRaLBYmJiahbt26FY3fmzJmDd999V1fc8fHxeOmll9C/f/9S358+fXq55y9atAipqanaa47j0LdvXwBF68eMGDEC+fn52LlzJ44cOYLc3FwoigKWZSGKIl555RU0atQIrVu3hiiKlyXBwa1P6mtFUbT3z5w5gw4dOuj6DIxw4403YsaMGWaHASDyFqFq1arh4YcfxpgxYzB+/HhMnDgxCtGFLtKfozQcx1EiRAghhFRVc+fOxZYtWzBw4ECtch28BVe6S+4fNGgQnn/+eVx77bVm/xhgGAbjx4/H1KlTIy5j6NChuu6+G9k1LthLL72EJk2aICMjA+np6SGdU716ddx6662GxxIqm82ma6IHQRAqvMvvdDrRqVMndOrU6bL3hg8fjlmzZuHs2bPgeR4cx8FqtYLjOLAsq70Ofq6+v3XrVsyZMwdpaWkRx2+UjIwMcBxndhgAIps+GwC+/vprnDp1Co8++igOHDgQhcgQ1sQcRneNozFChBBCSBUliiJGjhyJ0aNHh31uv379sH79+phIhCRJwunTp3WVYbPZcP78+YjPj1YiVKdOHdx///144IEHsHXrVsPLL8mIRTAdDgeys7MjPj+URKg8LMtizJgxEZ27YsUKdO7cOeJrG0mWZSQmJpodBoDIW1JSUlKQkpKChg0bRqX1OJJWWKPiqMotQjRrHCGEkKue1WqNuPLepUsXjB8/Hg888AAuXrxocGThEUVR98xResdjRCsRAoAJEyZgz549+OWXX6JSfjAjfo7U1FRkZmbqisGscR9btmxBjx49TLl2SZIkxcw6QpGOEVIVFhZGbRa+cP7d0mQJRSgRIoQQctXTc0fzgQcewIcffoh58+bh+PHjBkcWHiMSIUmSdC+oGq1Ka82aNZGeno5ly5ZFpfxgPM/r/jkcDgcuXLgQ8fmCIJhWwTx16lRMjA8CImvtiBZ1Eo5IpaSk4OzZswZGVGT37t146qmnwjqHusZRIkQIIYRAFMWIK/8cx+GOO+5A8+bNTVvHQ2VmIvTHH3/g008/xSeffAJFUaJWgb/77rsxb968qJQdzIjZ7/T8XqkxmFHB/PPPP3Hx4kU0b9680q9dmtOnT8PhcJgdBgD9iVA0pgL/4IMPIEkSDh48GNZ51DWOEiFCCCHEkARCFEXT1zox4ucQBCGiyvfEiRMxYsQIvPXWW/jrX/8Klo3OMOSnn34agUAAkyZNikr5KnWabj30dhkyq0Xok08+QfPmzaP2HYZr8+bNuP76680OA0DkkyWoHA6HoVOB79mzB2PHjsXHH3+MRo0aGVZuOKhrHCGEEFKFGdWSYnaLkN7FUIGizyKSRGj//v2YMWMGdu/ejc2bN4c1g1U4BEHABx98gDfeeEPXjGyhXEdv17iEhARdXePMutO+du1a9OzZs9KvWxqPx4PvvvsOjz76qNmhANA/7TTHcYZ1Hd27dy86d+6Mp59+GoMGDQrrXEVRDPs3WpW7xsVGqk8IIYSYyKgWIbMGtgfHYESLUCQVtcpcR+nmm29Gp06dMGDAAKxevToq1zCiRSg+Pl7XBBqSJJnWNe7555+v9OuW5tNPP0VCQgI6duxodigAihIhPd+J1WrV/XsFAPv27UOnTp3w2GOPFWsdVcsOBALwer1wu93F/j2r78uyjLNnzyIjI+OysgOBAOLi4hAXFxdSLFW5axwlQoQQQq56V0rXODNbhNq1a4fPP/8cTzzxhK7rh2rWrFlo2rQpNmzYUOoaOnpxHKd7jJDL5dJ1192MWePcbjfOnTuHdu3aRVyGoigIBAKQZVl7ri5IrD56vV54vV7Isgyfz6ctUKw+9/l8cLlceOaZZ9CvXz9888032jnq5vP5tIVgSy6GHFy2uvn9fu158HslF09Wjy1tAeWzZ89i2LBheOqpp4otRKtubrcbo0aNwjvvvFPqZyNJku6k4cCBA+jYsSNGjhyJV155Rdu/b98+NG3aVHutLiJc2u+g1WrFLbfcAp7nS72JEQgEMGvWLIwYMaLCeFiWjZlZ/cJFiRAhhJCrnlGJkN4ysrOzceHCBa1y5ff7tU2WZW1NGnVq55KVwMOHD+uewjvSqYonTpyIFi1aoHXr1li6dClq1aqlK46K1K1bF6NGjcLo0aOxfft2w8uPtEVIURTt+zpy5AgcDgdycnK07yj4+ywtQQj+Xg8cOIBDhw5h1apVl1XM1Qp8WRV2tUKvJgUlk43gLXjfn3/+CVmW0bt378vOCy675M8THLf6uVksFjAMo23qa7VybrVai1XW1fe8Xi8URYHNZkMgEMDatWuxbt06bcHX4AWO1fPUstT9JRdADl5M1mazaQvMqhvLsuB5XnvkOA48z2ubIAgQRRF+vx9xcXGQJEnbb7VaIYoiOI7DhAkTcPTo0TJ/Pxo3bqxr1ri8vDx06NABf//73zF16tRiSUx2djZSUlJw7ty5CsupXr06fvrpJ7Ru3brU90eOHIlly5aFlAgxDBNTM/uFgxIhQgghVz2jWlL0JkLJyclITk5GfHx8qRW7nTt3IhAIoFOnTpdVCq1WK06dOoWsrCzdP0dZiZCiKKVWoNXHzz77DKNGjcJ1112Hd955p1hFWr2L7/F4IMsyPB6PVo76XO3Oox5TWiVbTSAURcHFixdx7NgxNGjQAKIoFquEq8dEunk8HiiKgrS0tMsSTjWBCW7tUJ+r67OoY0msVitq1KgBq9VaalJQMkEIPqawsBCBQAAjRowoVuEPrviX3IJ/b4IThpKbmgCoSYGaBOzatQt16tTBgAEDIEkSRFEEz/MQRVFLBjiOgyRJEARB2ycIglaWKIq6Jlr48ccfMXDgQJw8eTLiMsySnJxcbiLSvHlznD9/HoFAIKLWwm3btsFisWD69Om6u6OWd35ZLUWlKSgooESIEEIIqaqM6NYmSRLmzp2rdWUKbhkoeRe95D61kp2YmIgNGzagSZMmpV6jS5cu6Nq1KyZPnlzq+2rXmAYNGhSrsAc/qhX24Ap8cCU9Ly8PkiTB6XQCwGWtFMEV7uC7+xaLBYFAAAUFBahXrx6mT5+uJXBqZTz47nvw3fjgu/NOpxOCIGjHqVtwGWqZFosFY8aMQc+ePdGxY0ftPQBaa0FwYlBawlDWvpMnT2LAgAGYM2cOOI7TYhIEQWsJUONRkwV1C67gTps2DUuWLMHmzZvD/p3asWMHevXqVanrU61cuRJjxozBww8/XGnXDOb1ejFnzhzte6xq1ORh6NChmD9/PkRRLPa++m9fbb2JBMuyUR+TZ7fbsWTJEm3x16SkJOzYsaNYzIqiYPr06dixYwfefvvtqMYTLZQIEUIIuerZbDbdrTl33303ZFnGzp07tUpK8N344JYd9Y56cPcelmWRk5ODQ4cOlZkIVdTqdP3112P58uUoKCgolmioyUZwDMGVebfbrY2H+eSTT/D555/ju+++A8uyEEURkiTBZrPBZrOVexe7RYsWeOSRR/DII4/o+CRDt2bNGqSkpP9EzPIAACAASURBVGDOnDmGl12zZk1YrVbceuutusqx2WzIzMyMqAXAiLWMwpWRkYG//vWvlXpN1f79+3HPPfcgLy8PW7ZsMSUGvdQbAhaLBV27dsW8efOKJXWiKCIhISHiFjMjJloIxauvvopx48YBAPx+P0aNGoUbb7wRBw4c0JK7NWvWYM6cOdi4cSNq165dKXEZjRIhQgghVz273a57bE3Pnj11Tzk8c+bMciu+obRc6a24N23aFHa7Henp6WGfy3FcpU4Y8a9//QtdunSJStnqeBA9li5dijFjxgAAFi5ciMGDB1d6DOE4ePAg3G43mjVrVmnXBIpaSaZMmYKpU6fi9ttvx4IFC6I2/Xq0qYnQgAED8MADD+Caa64x/GepjBkaWZZFamqq9nrBggXo2bMn2rZtix07dsBiscDj8aBJkyZVNgkCaB0hQgghBE6nE/n5+WaHAZ7nUVBQUOb7lTGLmNPpjLh1jOO4SltLKS8vD8uXL8err74alfLLGysVqvz8fNSrVw+ZmZlhJ0HA/ybFqCyffvopWrZsWand0vbv34+WLVti9uzZ+OGHH7Bo0aIqmwQB/5tB7dZbb0W1atUqbRbFaON5HsuXL4csy+jRoweAosVhY+Hvph5V9zeNEEIIMYjD4Sg3AakskiQhLy+vzPcrY60iPYkQz/OV1iL01VdfoWbNmmjcuHFUyleTED3JkN1uh8ViQY0aNSI6v7JbhNasWYNevXpVyrUCgQDeeOMN3HjjjWjWrBlOnDiha8ruWMHzPGRZhsViwaRJk/Cf//zH7JDKFO4EB06nEz/88AO2bNmCDRs2IC4ursonQtQ1jhBCyFXPZrPp7hpnBFEUy61YCIJQbqJkhISEhIjXOZEkqdI+x1mzZmHgwIFRK59hGLAsi9zc3IgHteudVriyW4SOHj0ata6Gwc6dO4c777wTBw8exNKlS7UWhisBy7LadxYXF2d4C+nixYvRqFEjQ8sMR/Xq1REfH4/CwkLEx8fD5XJpMyVWRZQIEUIIuerFSiJkt9vLTYREUQxpjRA94uLiIm51MmIa8lAcO3YMv//+O9atWxfV63AchwsXLuia3UvP4HZBECptocqCggKcP3++zHVljPTuu+8iIyMDJ0+eBM/zUb9eZbLb7di0aROaN2+OQ4cOweVyoVWrVmUeX1ECUTKR/v333+HxeHDjjTciNzcXbrdb60pYUFAQ0WLI4crPz8ewYcOQlJSEkydP4qGHHsKHH34Y9etGAyVChBBCrnqiKGrr2Jg5PsHpdOLChQtlvu9wOKKesMXHx0dcmZIkCS6Xy+CILvfJJ5/guuuug8PhiOp1eJ7X1fWH4zhdiZA6s5jX6416wvD555+jTp06iIuLi+p1vF4v3n//fcycOfOKS4IA4JFHHoHD4YDP50N2djacTmeZyU6ovxvBf5Nyc3PhdDpx6NAhfPzxx3j33XdRr149AEVJU6TdMMOxdOlSHD16FIqi4LPPPtO1QKzZQk6EGIaxAvgFwClFUW5jGGYUgCcBNASQqijKZSu4MQzTDcAbQbuaABikKMoShmHqA1gEIAnAbwCGKooSWVs8IYQQogPDMNqMbHa73bQ4bDZbuWOVEhMTo941Li4uLuJWCJvNVm4iZwRFUTB79my89NJLUb0OUJQI5ebmRny+3q5twd3zqlWrFnE5oVi6dCm6desW1Wuo350oihg2bFhUr2UWURQxYsSIqF7D5XKhfv36mDBhAh588MGoXqs03bt3154XFhZi3759lR6DUcK57fUEgOCfdCOAngCOlXWCoig/KIrSQlGUFgC6A3ABWHXp7WkA3lAU5VoAOQD+Hk7ghBBCiJEqq1tXeRwOR7ktKklJSVGf1MFms0FRlIiSoYriN8KmTZvgcrnwwAMPRPU6gP4xWR6PR/cMbBzHVcqA9L1790Y9EercuTPGjBmDGTNmRPU6V7rbb78dTZs2xfjx480OBRcvXjT15pFeISVCDMOkAegDQOsAqCjKdkVRjoZxrf4AvlMUxcUUtRF2B/DVpfc+AXBnGGURQgghhrLZbJXSrauiGMrr+pacnBz1REhd3DWSQd6V0XXvo48+Qrt27SqlC6MgCLp+HkmSdI/xUccpRZMsy8jMzETHjh2jdo1ly5Zh586deOONN6I6ycXV4MiRI3jiiSdiYppxj8cDQRDMDiNioXaNexPAPwA4dVxrEIB/XnqeDCBXURT1r8NJAKWuxsQwzEgAIwGgTp06Oi5PCCGElK0y1uipiN1uL7dVKjU1tVImdbBarXC73WGPwbHb7YbMkqUoCvx+P3w+H/x+vzaNtcvlwoIFC7Bw4UIcOXJEG9cly3Kx49TnwWUEAgHtMfgYdX/JLRAI4PDhw7paY9SxInqwLIvOnTtDURRs27YN6enpuHjxIk6fPg23240zZ84gJycHsizD5/PB4/HA6/VClmV4vV643W74fD74fD7tGPXR5/NBkiT06tULDocDdevW1RVrWQoLCzFy5Eg8//zzePLJJ6NyjauJ3tkIjeT3+7WxbFVRhZEzDHMbgLOKovzKMEzXSC7CMExNADcAWKnuKuWwUr9RRVHmAJgDAK1bt46Nb50QQsgVh+O4SplxKRAIwO12a5vH44HL5YLf78fJkyfLTXTURGjVqlVQFAWBQACKopT6PDgxKFnZL6vyH3zulClTUKdOHa2bnFpx9nq98Hg8WkXb6/XC7/fD6/Vi48aNOHbsGHr37g2v16sdr1bM1XPU/SUTneD4GIaBxWLRHi0WC7xeL2w2G4YNG6btCz4u+FgAxY4J3ko7t7RHh8Oha2wOy7K6K6yCIGDixImYOHEi9u3bh/T0dKSnp+PYsWNwOByw2WyQJAlWqxVWqxUsy4JlWe05z/NgWRYWiwUcx2nvsywLhmHw0UcfISsrC23bttUVZ3leffVVSJKE5557LmrXuJoYkQj5fD689NJLaNGihfbvgeO4YhM7qP8OOI4r89/RV199hVtuuUXvj2SaUFK4jgBuZxjmVgAigDiGYeYrijIkjOvcA+AbRVHU/2GyACQwDMNeahVKA5ARTuCEEEKIkfLy8nDLLbfA6XRe1oKgJhkln5e2r6z3g99TKx4Wi0WrwFosFuTl5aFBgwZlxpicnAyLxYIRI0ZolREAxR6zs7PBMAxSUlIqrOiX3ICi5CEQCGDZsmWIi4vTjlUr1xzHaRVqtZLNsiwEQUCvXr1QUFCAtLQ08DwPQRAgiiIkSQLP89pzURThcDjgdDrBcZy2T5Ik2Gw2iKKo3WV++OGHcejQIaxduzbKvwGXq1evHkRRjPh8I7rGCYKAGjVqoEaNGlqSLAgCFi5ciEGDBukq+7fffsO6deuwb98+DB8+XFdZZVm4cCHefPNNrF69OirlX42MSIREUcSuXbuQn5+v/W1Sb4aof0+Cb4yoN1nU/ep24sQJ08dW6lFhIqQoynMAngOASy1C48JMggDgXrWMS2UqDMP8gKJxQ4sADAfwbZhlEkIIIYaJi4tD27Zt0aVLl2IV/JJ30YO34DvwJfdzHFfsUS3LarWWOZ3urFmzMGfOnHJjLCwsxLFjx8osY/To0Th+/Di+/Tby/1ZTUlLw9ddf44Ybboi4DCN4PB4sWLAAy5cvN+X6VqtVVyUvJSVFdyVRXWRXEAQ88sgjeO6555CZmalrWm7VTz/9hFq1auHUqVPo0KGD7vJK8ng8eOqppzB16lS0b9/e8PKvVgzD6P7+4+Li8Pzzz+uevW/06NG49tprdZVhpog79TEMMwZF44ZqANjFMMwKRVFGMAzTGsAjiqKMuHRcPQDXAPixRBHjASxiGOYVANsBfBRpLIQQQohedevWxcCBA3HrrbeaFoPNZiu3ex7P82AYBj6fr8w1WOx2u+5xRHoTAKP8+9//RkJCAm666SZTrh/ppBEqp9MJr1ffyiCCIMDlcuGbb77BiRMntKS6RYsWusoFihLv22+/He+88w5atmypu7yS3n33XQiCgFGjRhle9tXOiETYCG63G5IkmR1GxMJKhBRFWQdg3aXnbwN4u5RjfgEwIuj1UZQyEYKiKEcARK9DKiGEEBKGuLi4qK/RUxFJkiocp2S1WstdYNPhcOiesEBvAmCE9evXY9y4cZg2bZppMXAcp+tzULsb6lmoVxRFFBQUoEGDBuV2mwyX2+3G0aNHIQgC0tPTDV/cNCcnB5MnT8a///1vQ8slsTVZgtVqrZSxldFi/rx7hBBCSAxwOp1Rn5q6IhW1CAFFlevyjhFFUfe4FHXWODONGDECKSkpePjhh02LgWVZQ1rG9Ny9F0UxKtO6Hz9+HD6fD1OnTi22QKZRpkyZgrp16+KOO+4wvOyrHcMwuhbqNVJZXXSriqo73x0hhBBiIJZldXdj0stms1WYxFSUCEmSpPvniIUWoaSkJNx+++2mxqC3RUilZ70XSZKiMmX6ddddh4KCAjRu3NjwrocnTpzArFmzsG7dOkPLJUU8Hg9ef/11rFixAqdPn8bu3bshyzLuvvtuMAyjjUMsOUuiuimKgoMHD+q+YQIUzT7HcZwBP5U5KBEihBBCULQehtn/oYfSmqN2jSuLIAiGrF1jdiIkCILp45R4nte1thTDMOB5HmfPnkWNGjUiKkMUxah9DhzHISsry/CJEv7xj3/gxhtvRJs2bQwtlxTx+/04d+4cbrjhBrRo0QL33HMPvv/+e+Tn5xebqRJAqbNYqvvN/vcVCygRIoQQQlB0593sikEoLUIsy5bbVepK6RrH8zxyc3NNjcGIFiF1/aNIRfP3csmSJUhNTUVKSophZe7duxdLly7FgQMHDCuTFGez2TBx4kTcd9992r5wu5A2adIETqdTdyyBQABWq1V3OWahMUKEEEIIiioX0RiLEQ5Jkirs+8+ybLldpUKZcKEiPM+b/lnUrl0bJ06cMDUGURR1d0uzWCy6WpUkSYpaUrp48WJ07drV0DLHjRuH7t27Iy0tzdByyf8Er/VjNlmWtTW/qiJKhAghhBAUJULRGIsRDkEQKkyEOI4rN0mx2+26EyGjxsYEW79+PRYsWBDyxAEejwcJCQmGxhAuI5Jju92OU6dORXy+KIpRS4S2b9+Obt26GVbepk2bsGHDBpopLsoURTGkFcaImediZfa6SFXdFI4QQggxUM2aNbF161ZTYwilW1tFLUKhdK+rCMdxuloxSrpw4QL69OkDWZbx9NNP47HHHsPw4cMxe/ZsdOzYEX369LnsnGiOjQmVJEm4cOECvF4vAoEAZFmG3++/7DEQCBR7rW6BQAD5+fn45JNPsG/fPsiyDJ/PV+wxuKyS+2VZxooVK1BYWIhBgwbB5/Np4z88Hk+x49QYSj4Gx6IoSrHtzJkzeO655/B///d/xcaRBG/BY0vUTa38chwHu92OWrVq4bbbbsMXX3yB/v37m57AXukCgYDuVhijWpT8fn+VbhGqupETQgghBoqLi0N+fr6pMYTSNY7n+XKn+Y5kjJAsy/B6vdpYFkVRkJ+fD7fbXayy7fP5tIq61+u9rOLu9Xovq8jXqlULc+fORZ06dbBr1y7Mnz8fr7/+Ol599VV4vV5wHIfVq1ejS5cuuHDhAl544QW43W4sXLgQHMehWbNmWkU+uBIe/Dq4ol6yEq8eW9br0hKA4MHmgiBg0aJF2uxbpT0Gz84V/AgUjbdasWIFfv31V1itVm1jWbbYa3XjOE57n2VZ+Hw+uN1uOBwOsCwLi8UCq9UKQRDAcRx4nteO5ThOK1d9zvO8dow6o5jFYsH+/fvx7LPP4ptvvrksJvUawfs4jitWPgDk5+fj+PHj2LJlCyZMmACbzYbffvstrN89Er7KGJcjyzJ27doF4H+zHqq/F8Ez0J0+fdr0SWb0oESIEELIFUdRlGIV89Iq6CXvzJ86dQq7d+/Grl27it1hDz6n5Ovgsko7Vt2nJg0ej0dLJoKvr8ZXWFhYYUuMKIrlTiLgcrmQk5ODuLi4Miv5JZ8DKFapl2UZW7ZswdSpU7UKT8lpeNUKUWnT8wZvOTk5yMnJwf79+2GxWDBs2DAMGzYMLpcLZ86cweLFi3HLLbfgoYcewvbt27Fv3z60bt0aFosFgwcPRtu2bbWKvpoIMAyjVfzV66jvqxV4dZ/6GLw/uIJf3ntffPEFJk2apGvgv91ux44dO1CzZs2Izn/ttdfwn//8Bx9++GHEMZRmw4YN6NKlC26++WZd5TRu3Bjdu3fHRx99hKFDhxq+MCu5nFFd48ozZswYvP/++4iPjy92XfUGgfo3xOVy4a677opqLNFEiRAhhBDTZWRk4M0338TFixe15CErKwv5+fllJjElk4mS+61WK3ie1+5k8zyv7St5h5tlWXg8Hhw/fhzdu3cvlhSUfB7KFlypVivtwXfsSz5KkoT4+HitcuNyuWCz2Ur9rARBQF5eXpmfpToN+O7du4u1NARX8oPv+KvvBfvnP/+JhQsXYtu2bYZ8vwUFBXA4HMX22Ww21K9fH2PHjkWHDh3w1FNP4ciRI9i7dy86d+6MwYMH4/333zfk+pEyagY+PbPGiaKoe8xXaX788Uf07dvXkLLmz58Pl8uFSZMmGVIeKV8gEIh6K4zL5cLgwYMxf/78co/r0KEDWrZsGdVYookSIUIIIabbtm0b3nvvPUybNk2rrCcnJyMuLk7r1hOcPAR3+wnuBqS+p7YUVEUff/wxsrOzy0yEJEkqtwtfXFwcBEFA3bp1I47BiLWIgpVMgkpq3749fv75ZwDAq6++iry8PLz55puGXT9SkiQZMt5KzyQcRn8XquPHj6NTp066y7l48SLGjh2LKVOmVNl/c1WNEV3jjJrk4Pz584ZOv17ZKBEihBBiOkEQ0LFjR4waNcrsUEwnCAKys7PLnH7Y4XCU2zXO4XDorjgbkQBEoqCgAC+++CLmzZtXZiJYmURRrHDMVkUqmtwilBiM/i6ys7Nx/vx5tG3bVndZ06dPR2JiIkaOHGlAZCQURk10YEQ558+fR3JysgHRmINSd0IIIaYTRdHQWcqqMkEQyk104uLicOHChTLf53k+5Cmqy2LEWkSRcLvdSEtLw8MPP4z69eujefPmqF27No4fP17psQDGJUJ6puCORovQokWL0KBBA93J5tmzZzFz5kzMnTvXoMhIKCwWiyHJsd5WoUAggNzcXCQmJuqOxSyUCBFCCDFdLCxmGitEUUROTk6Z7yckJJSbKHEcpzsRikYrRChSUlJw4sQJZGVlYerUqRgwYAAyMjJMq2gZ8TmwLKtrGnAjkrGSli9fjh49euguZ9KkSbj++usN6WJHQqdOaKK3DCP4/f6oT9wQTdQ1jhBCiOkoEfofde2a119/Hd9//z38fj8URdGmUd61axc6duxY5vlGtAgJgmBKIqRyOBwYOHAg5syZgyZNmsDpdJoShxFdBI1IhIz+Lvbv349hw4bpKuPw4cOYN2+eYRNqkNAZ1SJUkYpajNTJYSpjOu9ooUSIEEKI6ex2OyVCl4iiiLy8PLz99tuoVq0abr75ZlgsFvA8D5vNhlGjRpU725cRLQiiKOpOpoywbt06tGrVyrTrG/FZchynKxESBMHQFqFAIIDMzEx06NBBVznPPvss2rdvj/T0dIMiI6FSFEV3i05FrUoMw4TUdY5lWciyTIkQIYQQEimbzaZrQPmVxG6348KFC5AkCU8++SQGDx4c1vk8z+vu+29W17iS9u7dixEjRph2faMSIT1JvtFd49auXQubzYZrrrkm4jL27t2LFStW4ODBg4bFRUJnxDpCFSU6DMOEdDNEXfRXEARd8ZiFEiFCCCGms9lsuu6aX0n8fj/mzJmDjIyMiCrQRnSNi8a4lEicOXPG9BYhI6bPjqUWoQULFkQ0psfn8+Gnn37Cnj178NZbb6Fbt26oVauWYXGR8Oi92WGxWAz5veI4zpSJVYxCiRAhhBDTSZIEl8tlSJePqi4rKwtWqxUPPPAA2rdvH/b5LFv0X3sgEIh4XZdYSITcbjeys7Pxl7/8xbQYjEhCeJ6POBFSFAU8z2vjw/x+v7YFAoHLnpe2r+Q5a9euRZcuXbB+/XoEAoFi55Y8PxAIQJZl/Prrr/jggw/AcRwSExNx9uxZrF+/XtfnQiKnd20qoOJEyO12Q5KkCsuxWq2m/63QgxIhQgghpmNZFizLwuPxQBRFs8Mxlc1mw+jRo/HQQw9FXIY6mJrn+YjOj4VEaPPmzQCAo0ePwufzFavQy7IMWZZLfV1yf0XH+P1++Hw+yLIMr9erHRd8zQEDBmhjKmRZ1hIGj8dzWbJRMrYDBw5gy5YteO+997T9apJRWiJScgOKvg+HwwGGYWCxWMAwTJlbyffV1+pde7/fj++//x5r164NuYzU1FTMnTsXd9xxB1555RX85z//Qe3atU373bja8TyvOxGqqOvbxYsXQ1oolWVZ0/9W6EGJECGEkJigzhx3pSdCWVlZOHnyJDwez2WbLMvIyMjQ3U0wEAjgtddeA8dxWsXc6/XC5/Nplf7hw4ejXbt2pZ4fC2OEPB4PLBYLunXrVqxyXt6jupX22mq1aq+Dn1ssFrAsC6vVCo7jtKTcarVqrWssy8LhcIBlWXAcp50viiKsVit4nteO53keoihq5QQCAXAcB6fTCZ7nwfO8Vob6XBAE7bl6rlpORkYG0tPTdf9OzJs3D6+99hoOHDigq5ydO3ea2kpHKm5llGUZvXv31v4NKYoCRVG030mWZbFz507MmDEDixcvRiAQ0JJeq9WKs2fP4vfff8cLL7xQYSxWq9X0vxV6UCJECCEkZmzfvh01atTQ7sirlXj1tXrHXq3Qq8eUfCy5lbZfTQzUu/Q+nw8HDx5EXl6eNpBYnbpavTuvPi+5r7CwEA0aNAhp8Hj9+vVRUFCApKQkWK1WrQKtPrfb7WjUqJGuz7FPnz74/vvvi1X0g7f//ve/4Hm+zETI7OmzAeCaa64Bx3HIysoyNY4lS5ZgypQpqF+/vinXlyTJkDvuK1euNGS8ldvtvuJvVlR1GRkZWLt2LV566SX4/X4tyQn+u3fddddpibc68YLaolm7dm20bNkSbdq0qfBa1DWOEEIIMcBNN92E+++/H06nU7vzHlx55ziu1K3k+yUr/YIgwOl0aglH8H61FUB9HDduHB588EF06tSpWCuBWm7JMtTkZffu3bjvvvtC+jltNhvWrFlTZhJihGXLlpX7/r333osLFy6U+X4sdI1LTU2Fx+MxNQag6O57Tk6OaYmQUZMlbN68GdOmTdNdjtPpREFBge5ySPSof98mTJhQKdcy+2+FHpQIEUIIiQnffvut2SHg/fffR/v27dGrV6+wzisoKAh5Fie9C2waweFwVJgIqWNhIp1wQa+EhATIsmz6BBqiKCInJ8fU6+ttnXO5XDh16hRuueUW3fHExcWZ3kp3tcvLy8MLL7yAGTNmAECxfx+KomhdbSsDdY0jhBBCrhCJiYnIzc0N+7yUlBTk5uaioKAADoej3GP1ritjBEmScPr06TLfV8fAFBQUIC4urhIj+x+e58EwDLxer6lrlAiCgLy8PNOuz3EcFEWB1+uNePKLn3/+GcnJyYZ8l3a7HUePHtVdDokcz/P461//iqefflob/wMUjQ1UW6kTExMrJRZqESKEEEKuEA6HI6JuPxs3bgQA5ObmVplEqKI7xjzPIzc317RECIA2k6CZiZAkSaYmQgzDgGVZ5Obmolq1ahGV8cMPP6Bhw4aGxKNOAEHMY7PZ0KdPH9x8881mhxLywquxypz2bkIIISQGqTPXhatu3boAENICk0asAaKX0+msMAaO40xNAICilimzxwmZnQgBRd9FeV0ZK7J27Vr06NHDkFhCSaJJdDEMEzOtMGfPng1pmu1YRS1ChBBCyCV2uz2iJKV58+YAgHr16sHn8xUbM6SOcVFnort48SI4jjM07nDFx8dXmPAJgqCr8m0Eq9UKt9ttagyiKJo+OYAgCBF12QSKZgLbsWMH5s6da0gsNpuNEiGiyc7OpkSIEEIIuRJEmggBwIYNG5Cbmwu73Y4GDRrAarVeNoiZYRjwPI/k5GSjQo5IUlJShT+n2WNjgNhoEbLb7cjPzzc1Bj3fxZ49eyAIAho3bmxILJIkmZ6ckthi5mQmelEiRAghhFxis9kiniGsY8eOBkcTPYIgwOfzlXsMz/OmJwCx0CJks9lMbxHieT7iRGjDhg2oXbu2YbE4HA7Tk1NCjEJjhAghhJBL9LQIVSUHDhyocOC9KIqmtwixLEuJEIq+i0iT0nXr1qF169aGxeJ0OikRigFVuRUmllCLECGEEHLJ1ZIILV68GH369Cn3GEEQTF/vyKgWoUAgALfbrW0+nw9erxcej0d79Pl8xR69Xi98Ph/27NkDSZKwYcMG+P3+y7ZAIKCtuRS8r6xjy9qnPnq9XiiKAlmWtdeHDx/G+PHjMXPmTAQCgWLnKIqi7VOfB+/Lzs7GO++8Y8C3UcTpdJqenF7tQl2zjFSMEiFCCCHkkkhnjYsVgUAAPp8Psixrm9fr1Sr1sizjyJEj+O233zBx4kT8/PPP2jHByQHDMDh27Bg2btyIVq1awWq1apVvWZbh8/m08oKfB2/qfq/Xq72WZRkulwuvvPIKNm3ahK+//lrbH3ycel5BQQH69u0LURQvq+iXlwAEv6dO7WuxWC7b1PWS1LVXgjeWZWG1WnHw4EGwLIt77rkHDMPAYrFok1+oW/A+tezg/cGP6nOr1Qrgf2s2qRvLstr7VqsVHMfBbrejc+fO6NWrl7Yv+FGNN3izWq3Izc1F3759MWTIEMN+x+Li4qhFKAZQi5AxKBEihBBCLjGiRejXX3/F/PnztYRATR7Ux+CEIvgxOKFQE5rgxCP4+LKSD0VRwHGcVkFmWRY8z4PneW2/1+sFy7KYPHkyWJYFx3Ha+4IgQBAEBAIBVK9eHfv378e4ceO0iR7UMtWyAMR0bgAAIABJREFUSj4vuanXVo87dOgQFi5ciJdffhmjRo3CHXfcgSZNmmjHBpfH8zyeeOIJDB06FF27dtUq9+pjycp/8HvBjyzLaslHJMaPH4/t27dj1apVun4v9Khfvz6GDh2Kvn37hnXe4sWLUbduXdjtdsNicTqdFY4vI6SqoESIEEIIucSIFqF58+Zh586d6N+/f7FKuloxV1sgSr6nJgLqMcHJTHCiobYElEx4OI6DxRLbQ3/79u2LZ555Bn/88Qf8fj+mT59eboJSs2ZNtGnTBu3bt6/EKIuz2+0x0UUwklaYH3/8Eddee62hsaSlpcHlcsHv92utWqRyqTcmiH6UCBFCCCGXGJEIHThwAM8++yxuvfVWg6K6ctSuXRtffPEFZsyYgYkTJ1ZYmbNYLKa3PkiSBK/Xa2oMLMtGlAitWrUKY8aMMTSWhIQE2O12/PHHH7j++usNLZuEjhIhY1AiRAghhFxiRCK0f/9+NGnSxKCIriz/+te/AADnzp1DQkJChccnJiaaPnMdz/Pw+/2mxhDJ7HkXL17EkSNHMGDAAMPjqVOnDpYvX06JkElibbKEqpyUxXYbOiGEEFKJjEiECgoKEB8fb1BEV6bU1FRwHFfhcbGweCfP85Bl2dQYOI4L+3PYvHkzkpKSkJKSYng8I0aMwNtvv61NREEqX1VOPmIJJUKEEELIJUYkQg6Hw/R1Z64UNpvN9OnMBUEwPRGKpGvc2rVrDR8fpBo9ejQ8Hg8+/fTTqJRPKhYriVAsdF/VgxIhQggh5BKbzaZ7YHxVn4I7lgiCYPpUzTabzfQxQjzPh90i9P3330dtnJrFYsHrr7+OMWPG4MSJE1G5Bilbbm4uUlNTzQ4DAJCSkoJTp06ZHUbEKBEihBBCLpEkCS6XS1cf/KtlUdbKEAtd4+x2u+l3vDmOCyshdLvd2Lt3Lx588MGoxTRkyBB06dIFf/vb36gFtBIFAgGcPn0aHTp0MDsUKIqCs2fP4pprrjE7lIhRIkQIIYRcok5jracVIhZaMa4UamJqJkEQTJ8sQRCEsFoqd+7cifj4eFSrVi2KUQHffvstLBYL+vXrZ/pndLVYt24dbDYb0tLSzA5FU5WnUadEiBBCCAmid1xKUlISzp8/b2BEVy9Jkkxfw0eSJNPHCIWbEG7btg01atSIYkRFLBYLtmzZgt27d+OJJ56I+vUI8MUXX8REa9CVgqbPJoQQQoKwLKtrTMg111xD4yYMEiuJkFGtHYqiQFEUyLIMt9sNr9cLr9cLn88HWZbh9Xrh9/svezx79iwSExNDvs7atWvRpk0bQ2KuiMPhwObNm9GiRQvUr18fY8eOrZTrXq1+/vln3H///WaHccWgRIgQQgi55OTJk1AURdfd9Dp16uD48eMGRnX1EkURs2bNQoMGDbRZskRRBMuy8Pv9kGVZSyLU1+qmvvZ4PJclG+p5arIRXE7J8zMzM+F2u1GvXj0EAgH4/X4EAgEoiqI9L7kpinLZczUJAv43oQbLsrBYLMU2hmGKPbdarTh37hxq1aoV8ue2YcMGLFiwICrfSWnq1q2LFStWoFevXmjYsCHuvPPOSrt2VfHUU09h7Nixuru0nTp1KmZahGJtPaNIUCJECCGEXPLTTz+hc+fOYU9Nq1aKZVlGtWrVsGvXrihFeHUZPnw4Tpw4gYyMDG3NGnVgvtVqBcuyYFkWHMcVe60mSyzL4t1330ViYiKuv/56WK1W2Gw28DwPjuO0cwVBAMdx4DgOPM+D53mwLAue53Hu3DlMmjQJr7/+unYMy7LaeDL12jzPa49qucHlqM8tFgvS09Mxfvx4DBs2LKTP4ZlnnsHu3btDOjY3NxcXLlxAt27dIvvQI9S+fXvMmjULQ4YMwbp169C6detKvX6smj9/PiZPnoxDhw5h7dq1uv42ZGRkIC8vDy1atDAwQn1iZRrvSFEiRAghhFzy+++/Y+XKlahTpw6sVis4jiuW5JRsLfD7/fD5fPB6vVpF3Gq1on///mb/KFcEjuMwefJkXWX897//xejRoyOeSjojIwOvvPIK+vXrpyuOYCzLhjXmJyEhAXl5eSEdu2fPHiQlJYFlK7+KN2zYMOzduxe9e/fGjh07YmpAf2U6ffo0Dh8+jE2bNmHy5MmYPHkybr75ZnTq1Anz58/HkCFDIir3s88+Q3p6OnieNzjiqxclQoQQQsglkyZN0haLVLtLqV2V1JYANdlRH9UWhap+Z/RKJYqirim4ozFZAs/zYY19SkpKQn5+fkjHbt++HdWrV480NN2mTZuGvXv3okePHvjll1/gdDpNi8UsHTt2xJEjR5Ceno733nsPw4cPBwC8+eabeOqpp3DPPfdElMysXLmy0lv6rnSUCBFCCCGXsCxraiWSGE8URV0TLkiSZPg6QhzHhRVTampqyGv1VOZECWVZunQpWrRogTvvvBMrV640pXXKTAzD4Ouvv8bdd99dbP/w4cPx3nvvYejQofj888/DLvfgwYMYNWqUUWES0PTZhBBCCLmCSZKka10nnue1iQ+MwvN8WDMTVqtWLaQp3RVFwfr163HvvffqCU83i8WCrVu34sCBA3j00UeviEH14VAUBRbL5VVshmEwb948LFu2LKKxQoWFhTG1eOmV8L1SIkQIIYSQKxbP87q6xlksFlitVuTm5hoWk81mC3nMDwAkJyeH1IJ0/PhxuN3umOg+JYoifv75Z3z99deYOXOm2eHEjPT0dNx77714/PHHwz6XYRhDE3K9CgoKYLfbzQ5DF0qECCGEEHLF8nq9urtmCYKAc+fOGRQRYLfbw0qEUlNTQ0rmNmzYgJo1a5baGmGGtLQ0fPfdd5g8eTIWL15sdjgx47bbbsPevXvDmjADKGqBsVqtUYoqfGfOnKnyXYlj418KIYQQQkgUCIKge7IDnudDnqwgFA6HI6xKcEpKijZTYXnWrVuHZs2a6Q3PUO3atcO//vUvDBs2DFu3bjU7nJhwxx13oHnz5rjjjjvCOi8QCIDjuChFFT6LxVLlu8dRIkQIIYSQK5YkSbomSwCKkqlwWnAq4nQ6Q578AIA2a2FF5/zwww9hV64rw5AhQ/DEE0+gd+/e+PPPP80Ox3QMw+Df//43tmzZgo8++ijk8wKBQExNPKEuDFyVUSJECCGEkCuWIAi6JksAjG8RcjqdYZdXUQy5ubk4fvw4Bg4cqDe8qHj11VfRo0cPdO/eHTk5OWaHY7q0tDR8/PHHGDt2LLKyskI6h2EY+P3+KEcWOkqECCGEEEJimN51hICiZMrIRCghISGkWeCCcRxXbgybNm1CtWrVYLPZ9IYXNV9++SVSUlJw2223GT4leSxRFCWkdcX69++P3r17o127diHNImixWCgRMljstK8RQgghhIRJURQEAgHIsqwtgquOp/H7/cjKyip3XMXu3btx9uxZ7Xi1HPW1z+fDkSNHdHWN27dvHx5//HEttj/++APx8fFhlcFxHDIzM9G0adNS3//xxx/RsGHDiGOsLBs3bkSjRo3w0EMPYe7cuVfsQsSh/lxz587F3/72N1x33XVYvXo1rr322nKPj6UxORzHQVEU+Hy+mBq7FA5KhAghhBBiioyMDAwZMgQcx8FisYBlWTAMA1mW4fV64XK54Ha74fF4IMsyCgsL4Xa7UVhYCK/XC7/fD7/fr01xzbIsOI6D1WrVXrtcLrz88stlxvCXv/wF1apVgyiKYBgGFotF29TXjRs3RocOHSL+Ob/++mv8+OOPmDRpkhZjuJMaNGzYED/88AN69OhR6vurV6/GPffcE3GMlYXnefz888+44YYb8Nprr+H55583O6SoCDURkiQJa9aswVNPPYUWLVrgvvvuw+zZs8tchyiWWoQYhtFahcJN7GMFJUKEEEIIMcWZM2ewceNGfPvtt1qrjqIoYFkWPM/DZrNBFEUIggCWZSFJEkRRhCRJ4HleS3b0tCo4HA7897//RXp6uoE/WXGCIODGG2/EhAkTIi6jWbNm2LdvX6nvud1u7N27F/fff3/E5VemWrVqYeXKlejWrRsaNmwYs+OaIhVuq40gCJg1axYefPBB3H///ahVqxZmzJiBoUOHFjuOZVndE38YjRIhQgghhJAI2O121KlTB7179zYtBlEUDV0stTSSJIU9Jub06dM4cOAA/vjjD/zxxx/YunUrjh49ipkzZ+Kuu+4q1g1u69atSEhIQI0aNYwOPWpat26NuXPn4v7778c111yjq8UtFkWSnLdu3Ro7d+7ExIkTMWzYMMyYMQMLFizQWg9Zlg17bFm0VfVxQjRZAiGEEEJMYbfbTa/YiaIY9VnMRFEMaTA8AGRmZmLQoEFo0qQJnn/+eWzatAnJycmYMGEC3nvvPRw8eBAdO3ZEu3bttEkgfvrpJ9SrVy+KP0F09O/fH//4xz/Qp08fmlb7EqvViltvvRWiKKJbt25o27YtevXqhaysLDidThw6dMjsEIvhOK5KT3xBLUKEEEIIMYUoiqZ39eE4TveschUJpUXI5/Ph3XffxZQpUzBixAhkZmZCkqTLjhs8eDBmzZqF9u3bY/PmzejWrRtWrlyJ7t27Ryv8qJo4cSJ2796NG2+8EQ0bNoQgCGAYBqIoonbt2mjfvj0GDBiApKQks0MNmaIopY7xCZXFYoHNZsNbb72F0aNHY9y4cahfvz5SU1Mxffp0PPTQQ+B53sCII2e1WmNq3FK4qEWIEEIIIaZwOBymtwi5XC4kJiZG9RoVtQitW7cOLVu2xHfffYcNGzbgtddeKzUJUlmtVnTv3h0//PAD/H4/fvnllyozPqg0X375Jex2O3755Rd0794dvXr1QqtWreDxePDGG2+gZs2aqFOnDh566CEcPnzY7HBDomfcWnAS1ahRIyxZsgQrV66EzWbD8ePH0aNHj5iZPc5iscRMLJGgFiFCCCGEmILnefh8Ptx5551QFAUcx+Hs2bP4+OOP0ahRo0qJobCwEKmpqVG9hiRJkGX5sv0ZGRkYO3YsNm3ahDfeeAN33XVXyBXobt264bHHHgPP85AkCY0bNzY67Ep1+PBhXHfddfjzzz/x6aefFvsc8vPzsXz5csydOxfp6elwOp1ISUlBfHw8RFHUZgks+dlZLBZtGvRgDMNox6rP1VkCg/eX9ljaceqmTuV+4sQJwz+fDh06YNeuXfjnP/+JZ555BhaLBRcuXEBcXJzh17qaUCJECCGEEFMwDINvvvkGPp8PLMvC5/Nh0qRJOHPmDBo1aoQLFy5g1apV6N69O5KTk6MSg9vtRkpKSlTKVomiWCwRkmUZ7777Ll555RWMHDkSH330UdgLod50003o0aMHFi9ejObNmxsdcqXjeR5bt25F06ZN8dJLL+H//u//tPecTicGDRqEQYMGwefzYceOHdi7dy/OnDkDl8ulrftUkizL4Diu2MyCiqIU2wAgEAhom3pMyceyzlMf1UVUWZbFk08+iVatWhn+GVksFowbNw5DhgzBrbfeinPnzlEipBMlQoQQQggxzZ133lns9bPPPotPP/0UU6ZMwfr165Gfn48FCxbg3nvvjcr1ZVmGKIpRKVulJnXbt2+Hy+XCY489htTUVGzYsAFNmjSJqExJkjBnzhzcd999+Nvf/mZwxOaoVq0a1qxZg86dO6Nx48YYNGjQZcdwHIc2bdqgTZs2JkRYOdQEqyw1atTAb7/9VknRXNkoESKEEEJIzGjevDmOHj2KBx54AAsWLMDYsWNRUFAQteslJiZiz549uOmmmyDLMnJzc5GdnY3z588jOztb20KdIlhRFPh8Pm3zer1ai1erVq1Qq1YtvP766xg4cKCucSSqn3/+Wdf6RMFmz56Nc+fOFauIOxwOpKWloVatWkhISADHcQCKuhRmZ2cjMzMTGRkZ4HkePXv21L0eU4sWLYpNq92xY0dd5VVVRvxukIpRIkQIIYSQmPHNN98Uey1JUlRmdTt8+DA+//xznD9/HgMGDIDH40FBQQHi4+ORlJRUbEtOTobNZgu5cspxHARBgNPpBMdx4DgOU6ZMwd69ezF16lQkJCQY8jOcPn0aubm5cLvdePzxxzFs2DC0a9cuorLcbjceeeQRdOrUCQC0MS8ulws5OTnIz8+Hx+PRkiSWZSGKIhwOBxITEyHLMp577jmkpaVhzZo1qFOnTsQ/V//+/bF//3706dMHv/zyS6WNF4sVFbUIEeNQIkQIIYSQmGXkFNvHjh3DF198gS+++ALHjx9H//79sWTJEjRr1gyJiYlISEjQNe1xZfvuu+/gdrvRqVMnuFwuvP/++7jhhhu099WxLF6vFzVr1sSMGTPQunXrUssKBAKwWCxYv359xPEUFhbi0UcfRbt27XDq1Cldn+WLL76Iffv2oVu3btixY0fUxojFIr/fX2V+D2VZhtVqNTuMiFEiRAghhJCYVdbK9S6XC5mZmcjNzcXFixe1LS8vDxcuXEBeXh7y8vJw8eJF+Hw+/P777zh06BDuuusuvPbaa+jatStYtmpXg3777TcMGjQIH3zwATp37ozNmzfj0UcfvWxGMwBYs2YNevXqFdXFYyVJwscff4y0tDRUq1YNPM8jKysLgiAgJSUFPXr0wMyZM5GQkABZlrFo0SJ89dVXGDJkCO6++24AwI4dO7Bnzx6IooiePXtixYoV6NmzJzZv3hz1sVyxIhAIVJmucQUFBXA4HGaHEbGq/ReAEEIIIVc0m82GKVOm4MCBA8jMzERmZiZOnz4Nj8eDmjVrIjExEXa7HQ6HA3a7HU6nE/Hx8YiLi0ONGjXgcDjAcRwGDhyIbt26aWNcrgTr1q3DBx98AKvVisWLF0MUxTK73fXt2xcNGzYssyyj1oOxWCz4/PPPcfz4cVxzzTUAgOzsbPj9frz55puoVq0a7HY73G43kpOT0bFjRzzyyCMYMmQIgKLZ42rUqKHN+Na2bVvs2LEDw4cPx6JFi6pMgqBHVUqEvF5vzCzuGglKhAghhBASs+666y5YrVbUrFkTNWrUQM2aNVGzZk0kJCRUmcpiNBw7dgyZmZna7Gk1atQo9/j4+Hh4PJ4y32dZ1rCFMTt37lzq/n79+iE/Px+ZmZmIj49H9erVARR14Tt//jwYhkFSUtJl32tWVhaaNGmCV199FS+++KIhMcYyv99fpX63q1KsJVEiRAghhJCYdd1112HcuHFmhxFzFixYgH79+oU8PkPtVpaXl1fq2jOVNSbF6XTC6XQW28cwTLlrOaWkpGDVqlXo0qULGjVqVOq02leSqtQixDBMlZ7coWqMxCKEEEIIIQCKKspz587F8OHDQz6HYRhIkoQTJ06U+n5WVlZMj5lq1aoV5s2bh7///e/48ccfzQ4nqqrSZAlWqxV+v9/sMCIWu7/xhBBCCCHkMsuXL0dcXBzat28f1nmSJOH8+fNlvh/rrRD9+vXDkSNH0LdvX2zZsgXXX3+92SFFRVVqEVIUpcrEWpqqkW4SQgghhBAoioJp06bh6aefDrsCWlYi5Ha7cfjwYfh8PqPCjJpnnnkG99xzD7p3746zZ8+aHU5UVKUWoaqUtJWmanzKhBBCCCEEK1asQG5uLgYOHBj2uYmJibj77rvBsiysVissFgsYhoHNZkP37t2jEG10fPjhh2jSpAluvvlmw9aYiiWyLFeZ5OKqaRFiGMbKMMx2hmGWXXo9imGYQwzDKAzDlDnCjWGYOgzDrGIYZh/DML8zDFPv0v55DMP8yTDMjktbC70/DCGEEELIlSoQCODFF1/Eyy+/HNEillu3bkV+fj7y8/NRWFgIr9cLv98Pv9+PwsJCw2aNqwyrV69GQUEBBg8eXKUH65emTp06OHXqFL777juzQ6mQkQsemyGcFqEnAOwLer0RQE8Axyo471MAMxRFuR5AWwDB7ZjPKIrS4tK2I4xYCCGEEEKuKsuWLcOOHTvCHhuk4nkeDocDkiSB53mwLKu1ClU1LMtiy5YtWL9+PV566SWzwzFUmzZt8NZbb2HAgAGYMGFCTCd6aWlpOHXqlNlhRCykRIhhmDQAfQB8qO5TFGW7oihHKzivKQBWUZTVl84pUBTl8uWhCSGEEEJIuRo0aIA77rgDjRs3Rnx8PGrWrImGDRuic+fOaNasGRYtWmR2iJUqKSkJq1evxsyZM7Fx40azwzHUY489hk2bNmHOnDno0aNHuZNcmKl69eo4c+aM2WFELNQWoTcB/ANAuCnpdQByGYZZfKlb3QyGYYLbcl9lGGYXwzBvMAwjlFYAwzAjGYb5hWGYX86dOxfm5QkhhBBCrgzNmjXDkiVLkJOTg2PHjuHXX3/F999/j5dffhnVq1fHnj17zA6x0rVo0QKPPvooBg8eDK/Xa3Y4hvrLX/6CP//8E263G02bNsW2bdvMDukyHMdBlmWzw4hYhYkQwzC3ATirKMqvEZTPAugMYByANgAaALj/0nvPAWhyaX8SgPGlFaAoyhxFUVoritI6NTU1ghAIIYQQQq4cFosFCQkJqFWrFq699lp07doVXbp0qTIzjRlt2rRpkGUZs2fPNjsUw9lsNmzevBnDhw9H165d8d5778XUWC6XywW73W52GBEL5V9MRwC3MwxzFMAiAN0ZhpkfYvknAWxXFOWIoigygCUAWgGAoiiZShEPgLkoGj9ECCGEEEJIyCwWC15//XVMnDgRHo/H7HCiYvr06ViyZAlefPFF3HfffXC5YmOkSUFBARwOh9lhRKzCREhRlOcURUlTFKUegEEA/qsoypAQy98GIJFhGLUppzuA3wGAYZialx4ZAHcCuPracwkhhBBCDCDLckQzyV0pBg4cCLvdjqVLl5odStT06tULBw4cwG+//YaWLVvi8OHDZod05SdCZWEYZgzDMCcBpAHYxTDMh5f2t1afK//f3t2FtnWfcRz/PT5yZJy4DmtrBgvLxUpgC0lmMGUMShZrG6OZt3TdSpuL0Y00sEEacpHtYlcpGzQ3K+3NliwdbLRbYIS1ZNlLuo3CFuKBNwIuuLFvHBNyEXsvbhLLsiM9u9CRkBW/VtKR5P/3A8Ln5X+U54gH5fw4f0nueRWnxf3FzEYlmaSfxU/xZrxtVNIjkn744U8DAAAgXO3+ey71kMlk9MYb65201J76+vo0Njam/v5+9ff36+LFi02tJ5vNqqurq6k11CK1kcHu/q6kd+Pl1yS9tsyYEUlHKtbfkbR3mXHt88tdAAAALSyKIuXz+WaX0VTHjh3TgQMHNn0o7Ojo0Pnz53X27FkdPnxYx48f16lTp5p2R7CdX+swP1UHAACwibh7sF+WUDIwMCAza4kpY0k4evSorly5onPnzimTyWhmZibxGqIo2tzfGgcAAAC0g+3bt2tiYqLZZSRm7969mpyc1MLCgnbv3p34V2xv27ZNd+/eTfTfrKcNTY0DAABAazpz5oxmZmbk7ioUCioUCsrn8+WpYtVTmNx9za9irt6/3PjS87q7UqmUzKx8d6pUy/3795XP55XL5crPUVlnoVD8qcpCoaD5+XnNzc0pl8st2V86bqWpWO6u6elpDQ0Nac+ePeVzLtVTumsWRdGSv6X9pUf1evU2M1M2m9Xs7Kymp6dlZkqlUurs7NSOHTu0c+dO9fb2LnndK2suLVdur64piqLysrtrcXFxySOXy5UfCwsLymQyWlxc1P79+3X69GkdOnRI169f1+joqObm5sqvX+VrWf3arrReWq4ek81mdfXqVd27d2/VHmpl1krfRb6WgYEBHxkZaXYZAAAALWViYkKXLl164KK9dDFdHSRKF+nrmU5XHTwq1yvDlJmVg1c+ny+P6+joUCqVUhRFSqfT5Yv70r8fRdGSwNDV1aXu7u7y2MrHWtetd+7cUTqdVhRF5dpKF/BmtiQg5vP58utSqrn6Yn+lYNDd3a2enh719fWVj83lcpqamtLU1FT5Lkl12KwMgdWBsFRPqbZSPVLxh0u3bNmizs7O8nI6nS6f6+TkpG7evKnh4WHdvn1bW7du1a5du7Rv3z719PSsGvRWWy8tV/91d3V2dqq7u1sHDx5sud8SMrN/uvvAmuMIQgAAAAA2i/UGIT4jBAAAACA4BCEAAAAAwSEIAQAAAAgOQQgAAABAcAhCAAAAAIJDEAIAAAAQHIIQAAAAgOAQhAAAAAAEhyAEAAAAIDgEIQAAAADBIQgBAAAACA5BCAAAAEBwCEIAAAAAgkMQAgAAABAcghAAAACA4BCEAAAAAASHIAQAAAAgOAQhAAAAAMEhCAEAAAAIDkEIAAAAQHAIQgAAAACCQxACAAAAEByCEAAAAIDgEIQAAAAABIcgBAAAACA4BCEAAAAAwSEIAQAAAAgOQQgAAABAcAhCAAAAAIJDEAIAAAAQHIIQAAAAgOCYuze7hnUzs2lJN5pdB1b0iKSZZhcBrIE+RbugV9EO6FO0op3u/uhag9oqCKG1mdmIuw80uw5gNfQp2gW9inZAn6KdMTUOAAAAQHAIQgAAAACCQxBCPZ1tdgHAOtCnaBf0KtoBfYq2xWeEAAAAAASHO0IAAAAAgkMQAgAAABAcghA2xMw+bWbDZnbNzEbM7PF4+8l42zUze8/M8mb2kWWOHzSzf8VjfmFmqeTPAptdHfo0E/fpNTP7u5k9lvxZIAR16NW/VYy7ZWZvJX8W2Ozq0KdmZj8ys3EzGzOzF5M/C+BBfEYIG2JmlyW94u5/MLMnJX3P3T9XNWZI0gl3H6za3qHiD+Jm3H3czF6SdMPdX0+ofASilj6N941L+qq7j5nZdyU97u7PJ1A6AlNrr1aNuyDpbXf/ZcMKRpDq8J76LUkHJD3v7gUz63P320nUDqyGO0LYKJf0ULzcK+nWMmOek/TrZbY/LCnn7uPx+juSnq57hUBtfbre44F6qLVXJUlm1iNpUBJ3hNAItfbpdyS95O4FSSIEoVVwRwgbYmaflPQnSaZikP6su9+o2N8t6aakx9z9P1XHmqRJSU8+lAtOAAACD0lEQVS7+4iZvSpp0N33JFU/wlBLn8b7n1DxgjIr6QNJn3H3D5KoHWGptVcrxn1T0lfc/esNLhkBqsN76r8l/VjSU5KmJb3o7hNJ1A6shs9n4AFm9mdJH11m1w8kZVS89X3BzJ6R9Lqkz1eMGZJ0Zbk3Qnd3M3tW0itmlpZ0WdL9up8AgtCoPo2dkPSku//DzE6q+B/4kfpVj5A0uFdLnpN0rh71IkwN7tO0pHl3HzCzr0n6uaQn6lc98OFwRwgbYmazkrbHocYkzbr7QxX7fyvpN+7+q3U81xclHXH3ZxpXMUJUS5+a2aOSht39E/H6xyX90d0/lVD5CEg93lPN7GFJ45I+5u7zDS8awam1T83sfUlfcvfJ+Pj/uXtvIsUDq+AzQtioW5L2x8uDksq3ts2sN9739koHm1lf/Dct6fuSftqwShGyWvr0v5J6zWxXvP4FSWMNqhOo6T019g1JvyMEoYFq7dO34uMUjx1fZSyQGKbGYaNekPRq/LXX85KOVux7StJld79XeYCZ/V7FOz+3JJ00sy+rGMJ/4u5/TahuhKWmPjWzFyRdMLOCisHo2wnVjfDU+p4qSc9KejmJYhGsWvv0ZUlvmtkJSXfFVGO0CKbGAQAAAAgOU+MAAAAABIcgBAAAACA4BCEAAAAAwSEIAQAAAAgOQQgAAABAcAhCAAAAAIJDEAIAAAAQnP8DQa+L0EIbcpEAAAAASUVORK5CYII=\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ax = chicago_race.plot(color='white', edgecolor='black', figsize=(14,14))\n", "chicago_race[chicago_race['Id2'].isin(['17031980100', '17031381700', '17031980000'])].plot(ax=ax)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "zero_inds = chicago_race[chicago_race['Id2'].isin(['17031980100', '17031381700', '17031980000'])].index.tolist()\n", "for col in chicago_race.columns:\n", " if \"Percent;\" in col:\n", " chicago_race.loc[zero_inds, col] = 0" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "# Coercing these demographic features to the 'float' type\n", "for col in chicago_race.columns:\n", " if \"Percent;\" in col:\n", " chicago_race[col] = chicago_race[col].astype(float)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Mapping\n", "\n", "Now that we have data in the correct format with the correct type, we can start mapping out some features of interest. I'm not sure if a red-orange color scale is best for this data, but it's certainly striking." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "image/png": 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m2ayMr4TniuVVVSU8rqyZ0gSIiC8iJ4vINbi9V+A+pJ+OOXsLbhTv62G9qpS2A7gZIoBq9vn24GZYqvHm8PwNbVDNv4hIzN9H1GmcqsSXcaOP83EDJ5XoVFuCOtXF23F1+qyy268Nz3eo6g8q+B2jpHCpElFb9R+q+myV+J+hpOApiX3FVrY3aZgX+393VVf1aVUe3aUVVKOH37Bvhz/Ly1BkmmFh48ltmk7EmYS/TutRVSdw30eY/C14KaVnfneN9mJKEZGMiCwTketxg9PgBrM/E3P26+H5u6p6Z3kYYRmL2vDzReSEKtH9n6reXcH/AdyePIBfa6V9sTCsOeHPHVWctaoux7lVVTeUX1TVp3GzaJCsTf/t8PwsTZTRCul5ArdSI4Ob0Y0Ttf8PqeqXy+4RluFaNspaVW7iJkkOZzt9U8qU2UGLUNUREfkxbpniGtxeJiip018Xc/uUiGzE2UM7SVWfEJEccEHo5LY60f2oxr3NuCnguTXcJEZEZlCq1H8hIn9Ww3kU95KU0S0REa1yT4EPq+q/x65FNoCeVtVfVvSkWhSR23Aaos6t5Cb0/3gV//tF5D7cx6+a/7YgIifizAq8EDfqNIPJmkrboT67Vfn6kKpW01YXDVq0tLxW4JpQIKvEDuBVqrondi3q5LxURLZW8BMRmcSoVtbvDTtPkwhtHp4X/vzfGnGUcyql/LpFRIIG01ep3WhrWxK2a28GXoWblZyLG70sp7z8Rtpw15U7jHF7jXvR+3u7iLyxhrtZ4TlJW9WqepEWiUfVRDityqN6ZQgml6FvAB8ArhCRb+IUD6yLDWK2g07E2Si7VfWReo5E5BJcfXoersM4UMFZeV2K7Ko+3kgcbeYGEak2sLIFuEJVh2PXorrz3Rphxu+dS2lgKU6tPlV0L4dbOXBvDbdJiGv+qyZ8taoux0lTH2sRlZ9vJhXuQ7NTr8ctaTwDN1hYSQhO0/7XuteScqOqQyIygSsbpsmxRUy5gBbyfZyAtlpEMmFhXhPeu73M7Trc9Oka3Frc51FSvTxpNLKMWupVowqUbSTBCVhISShotHL313dSkXJD1ZH2nh/jlq3cV+Z+QXiuOAoc45ky9+XU8x/dr+a/5YjIK3EjivFO7X5Ka69zuFG6Sh/qZmlVvjZSXttdZ+OGqoPw/ydxSwT/VVV3lbmPRssGKQk5tahW1ifNTsWYR6mebmogjoj4SF6jH41q6WtbWyIiC3AfwdNjl8dwo5LF8PdRuHalvPxGz1Wr81yxXIpIFtcRACdczKrkrowkbVWr6kVa4qO686q6qkGL8yhxGVLVO0Xkatwo9mXhgYg8gysz/15pVq4ZOhFnAmq1EwCIyD9xqP3PIiVlIuAG7vqZXJei2bMkbUy7iBuqDsLfj+Nm/25R1YNG78MBrGgGqmpdU9U9IjKMe+403/b4vVbW1bggUm1FVNN1uQKtbtNTlR8RmYlTrHZB7HKk6TZq/+fhvv2J239V3SciQ5R9n1tcbsB9s3JUFiyNFHRiiSOUBKtBShL8xeG5XNovX+YYnUdwgsh0I26Ae1Vs6Vmt49qUcR1iqFpVl6rq+ar6rgrCWZxGR6Bqzc5NG0JbR7fghLPbcMJ8v6rOUtWj1RlFfW31EFpGs/k6HYgbql6kqstU9TJVvaGCcAal8v6BBsv6mirxFqtcLydJ3sXr4sIG03dLgvBbxd/hhLNduFH/Y1S1T1WP0pJR3+gDLFXCSFOm4vnzGw3mz5Up4ulUvXgo9v/ZKcOYqjyqiqregJuhfS9uOe523Ej6lcBtIvL5UJDs6jgbpGY7EQ7URcLZjbhZ9B5VnRurS5+InFcJZjq0z3FD1YtU9Tmq+jJVvSkunFWgG7/t8e/KnEoOVHUfJSEibV2eKpLm4V/ghLMDOP0Fx6lqb1n7/2DotrzMRr/rxVmtrEc0VW7CGcAZ4c9K/QQjBZ0S0H5IaaRkTbj/bAHwhLq1/HEiAW1N2flOVc0z/dgW+//0qq46QzT6eFwdd9E0erX14PWWCS4uiy8iGpWqNcLSyAh1OZfjtB3uAV6uqus0ZrgypJ37KVqVr91ItKyxnWV9F6V9q0sT+IsvuZxudRE4OEPzqvDn/1PVf1PVrWVufEqzOOVEZanWuv/FlS6q25+2L/zZjvzpdL34CaXne2WaAKYgjxpNx+awc/5KVT0atwzq5vD2a3DaU+M03damiHM68Bvh+Quq+geq+rCqlgt11b4F0V7IpW1JWZsIVyBFy86r1jURia8gSfNtj7cjdWcyExCZ3YDaq46+F56fH646mG6kLT9Rmf0jVf1YhT4wOP0MlYjeQ9X2P5yhm7RyqMXlZi4lIfBw6t90lI4IaOFH757w5wupsP8s5vZJ3BKYxSJyGqVp4E4ssYjvYak4IqFuf84vwp+/UclNB/lJeD5WRJZVchB2BqNZymprzI8TkZOq+J9BSdHCT8pu120McGrykxKF96iqjlRx86Ia/qP3Wm+UqRqtytdu5K7w/DIRaWSJY2LCD0k0W/7yBF4fxC1zhc7UxbrtBW6JStSJ/mkVN6up3tGONrOvqZGOWvei9/daEWn196Cj9SIsN9FsyaUiclGjfsvyop15lApV/bmqvo1S2l5c5qRmWxs+R6I9fw3EOR2InrdiXQqXdV1c6R5u4BjgZBFZniDORup5u4nq2qU13MTvVatrtRSWRfcmcAa8W4KqKk4JBsCJNZz+U3jOUVKWUpcprLNR+XlpWM7qEu49joTNamX2NOCYKkE02/63qtzElYc8XCMsIwGd/NhEAtaFlBr626u4jQS3D+BUN8f9TyX7Y//PruEu3imo2TEUkXYrfYjzHUrTz9dWcfMOSqMxn6niBuBPq1z/A9w7KuCM9cb5WXh+iYhMGtEJN3ZfUH69AaIR7mWVtEuJyFnAb9XwH73XWu+0Fq3M124jMso5m9raAhGRbBNC3KfC8+UicnkjHsIO+r+GP98kIjU1eLahLjbSXuyntGzkzAppygB/VSOO/wnPF4nIhRX89+BMJFQjaquW4YykV0VEBsIORaNMh3rxYUrLQz8TdnaqIiJ9IvIxDp0ta2ce1SR8f7WIVgqUzxJFbe0rQ22m5byJKrMlTcQ5HYi+BZPqUsh7qd7Z/SalWZCbwsGDuoSDgtEMUNpvSLP8d3h+UaV2LiyTkVBzj6purBLOr4jI8yr4H8TZLQT4SjjI3kruCM+T4o5Q1R8D/xX+fJeIvK1eoGH/q1b710qib81inOHtuqhTjBXVp0rtv+CMQFcjav9PE5ErKvj3cf3marSq3EQD609oFU23Rgq0Q/r9gYso2U2IbE4cX8Xt28rc7aeGjZJYuGtquLk9dHNtEv+42TwF/qFaGnB7oSLbE3ncZuvjYvf7caMaHwX2pMi7W8KwN6bwG7cn8y/A0bE0vQs3OqY0Zqj67ykZVJ4B/BHuo63ATRX8L4vd/ypwbHi9D9dh2EfJbtLtNZ77lrLrp8TC/QKhrSLcSNvrcMsAItslWiHcF8XKV1V7SdXib2G+TnrmmJs11dJfVmYnpa3BchH5n1QfGvB7Y8z/53Gq4CPjrj7uw/OnODs6q8v8Vs3TMncZ4Aeh21FcR3l+LI6luM7Xh8r8zcVtrlecwpOrCA1ch/dn4ZQgfBqnRbPVbUkj7UX0XM8Al1AyVL0C+D/c5uvIxtaVZX5zuJlCZbKB2cjQaD1D1V+M3f9nYFlZ+OfjtO3uJKyzCcpG6nrRaP43kIZVuLYlKgPXh3kblVHBGfV+P06YUybbMkudR7XKR8zNtVRoA3BCw7/iVMDPLivXf0LJePzby/xdGkvvJ4F54fWZuHoyTqmtvaUVcaZ4L9Eza4Jy9GAdd++OPfcfUjIIPg9nGiag9C34WgX/r4n5/274XqNyMgv3rfgsZXYNgftDP/9BBdusDeZHXTtoNfzGDQ7vCJ8jMjh8Cs6Mg9KYoeqtuJUK8XborvD+OHBaBf//E94fSvnskYHw7XXcDeBWU0T59OWwrPfG3MzHmey4M3Tzl1WedZKh6QrP89EaeVXJUPU/xtL2UQ41VH00TlPjZ8v8fCl0vwtnczFqv0/BtTvRUsRJ5QLXdkXPuQ83EJ0N7y0N/TdqqDpxuYmF85+hu0+lef92VMnXjkXsCsZIrDA/WcPtspg7xdlcqhV2s52qWp2ZP4ndH8N1OjdS1sEIG4nvlaV7X1jRgti1fIq8u4WUAlroP96hDnAduHzs2m1UMLBNrBOB64xEFXcXJeFZcZ3C3ipx/3lZnuyNxf0lSoaub6/x3LdUuPc3FcKNOn9P4hquip0BXOf/kZjf3eE73UisQasVf6vytcY7W1Mt/WVltmLaGigTkf9J9aEBvz5O0UU8/0dxH7J82fVyY84187RCnbqjLI8j7WwHP9gV/J1AqQMVHXsoddqj47EkbUHMze3V8o4G2gvckuChMnfRzFoeeAM1DA/jhIstZf73xv7/1di9VRX89+Nmr+J5MRSW32LZ9YqGmtvR3jSa/w2mYTlwX9mz5Cntb4xf/xahQNOKPKpVPuq1ATG/8W9Iebn9PGFnuszvp8vc7Yml9R+pPuCVOs6E7yR6Zm3AbaMCWh9uGVZ5eYu+uZ8DPhL+P0lAC8N4Z1mZiNen6Di5gp/o3jjwNK7OfjtBfqQW0EL/J1Aywl0p3QVixq3L/EZCx+/hvpdRG76vzP/aKv6bFdD6Y3FNMpRd4R3fzKH1LvoWDJe9pycpEyxor4CWxa32iKdhP4f2dZ8p87OM0mCJ4r5nUV4EwO/jliJWLBe4Zb1Pcmj5iwS6PM6ESRT+r7ay3MSeOcqTS5tpE+w49OjYEkd1U7s/jF2qaqtBnQ2d+Mb577crXQ1wPW6U7ie4wn8szu7NIRuPVXUnbrTtFbjK/jRuZq0Pp43om7iPztIpSnc8bVfhRuq/gBt1H8RpEPo+Tovci7WKge1YGFfj9vXchVsqO4HrBL8buEyrLIFQ1T/DdTjvwTWmfujvnThlCamWzajqB4A34kbXRnGNxuO493U2tdXQFnCjcDfjPqoDuHe6hMZUx0fhNJ2v3YiqFlX1vTibLJ8AHsW9x1m4D8VduM7YWap6V7VwGohnJ05QfT2u/uzAvas9uM733+Bmccv9bcDtt3kj8DWcMDOAGyTagBsYeDPpltfWo257oU7j6vNwnceduPp0IPz9fFX9j1oRqLPZdAZulm4jblR1LPS/itKeISgZIY77H1HV38TtMfkP3Mfew5Xf7TgB6v3AKZpi+cp0qBfqlEWcgxNWP4UbkBnCzSjtx3Xq/w44R53W0l1l/tuaRzV4F3A1zjbZY7h324drz74KvFpVX6uqlWz8vRlX9u7HtYkeriz8uqq+q01xdhR1yqHW4AwFP05p4PAu4C04w7xaJ4x/wQn0/0SpLcvg8uILuNmZTRX8vBW4G1f3FuPqeUUFPe0gbOfOwr27e3Ed9b4wrf8GnKmqN1cPAXD18xycEPssrs+yEzcTc76q3tqmtI/gZmHACRS13I6q6ltxGjr/GteXiL4FAU7Y+C/cbNBzVbWWHbCWoqp5VX0Lrr37b0r9vjHcSoePU7bdIuzfnouzNxj1c0dws4MvVNV/qBPn07g+zocorRbJA1/BrVT7DCUNi5Xa/2bLzWW4GerHqG+b2EhANHVvGHURkWuBa3BGS9d0NjWGYTSCiLwYt1RyHDdTNR213xqG0SFEZCeuk/1aVf2feu7blIYVwAO42Z7F4SC+0SQicjYlZSLzVLWaMfC04X8Ot0T1D1T1xlaGfaQzLTRSGYZhGK0n3GR+dfjzeyacGYYxHVHVB3GzPfNxs5FGa4gUlvy4DcLZKbiVT8/g9uYaLcQENMMwjC5GRF4oIjeJyLki0hdeExE5B/hfSgojPtzJdBqGYdThg7jlgB9sQJuogZshE5F/EZHnx7Vji8gKEfkMbnYLamuDTMuf4bap/LFOtj1rNElDthoMwzCMacss3F6jdwOIyB7cHoLI5ES0uXzK9mIYhmEkRVWfEpE34faXHY/b12TUZgBnruQdACKyl5K+g4jrVfVLrYw0NAHzKE6Nf8190kY6TEAzDMPobu7BmTG4FGfo9ajw+pM4Ff4fVdVyo/GGYRjTDlX9XKfT0GU8hBOSLsV9PjBrAAAgAElEQVSpxl+AU+yzCaeI759V9QetjjRUrvaXrQ7XKGFKQgzDMAzDMAzDMKYJtgfNMAzDMAzDMAxjmmACmmEYhmEYhmEYxjTBBDTDMAzDMAzDMIxpgglohmEYhmEYhmEY0wQT0AzDMAzDMAzDMKYJJqAZhmEYhmEYhmFME0xAMwzDMAzDMAzDmCaYgGYYhmEYhmEYhjFNMAHNMAzDMAzDMAxjmmACmmEYhmEYhmEYxjTBBDTDMAzDMAzDMIxpgglohmEYhmEYhmEY0wQT0AzDMAzDMAzDMKYJJqAZhmEYhmEYhmFME0xAMwzDMAzDMAzDmCaYgGYYhmEYhmEYhjFNMAHNMAzDMAzDMAxjmmACmmEYhmEYhmEYxjTBBDTDMAzDMAzDMIxpgglohmEYhmEYhmEY0wQT0AzDMAzDMAzDMKYJJqAZhmEYhmEYhmFME0xAMwzDMAzDMAzDmCaYgGYYhmEYhmEYhjFNMAHNMAzDMAzDMAxjmmACmmEYhmEYhmEYxjTBBDTDMAzDMAzDMIxpgglohmEYhmEYhmEY0wQT0AzDMAzDMAzDMKYJJqAZhmEYhmEYhmFMEzKdToDRfpbfcFkW6AuPXqAn/L8/PPqAHOCHx+zwuhceOWAerrwsivntDY++svDf8/D7vvWpqXk6wzAMwzAMwzh8MAGti1h+w2WvBZYCc4BZ4TEIDFASkPo5VGDqxwldU0luiuMzDMM44njb994zA7gSN+gWP3Lh2QcKQBD+n8V996Nz9H8W2Alc/clLb9oypQ9hGIZhTMIEtO7iz4AVnU5EA1i5MgzDaD8jwPnA2haFtxV4f4vCMgzDMFJie9C6i2KnE9AgUz1jZxiGccTxyUtvKgJvAK4GtAVBvvlt33vPvBaEYxiGYTSBCWjdRaHTCWgQm0EzDMOYAj556U36yUtv+jDwq8D+JoObB/zwbd97j7XhhmEYHcQEtO6iWwS0bKcTYBiGcSTxyUtv+gZuueNjTQa1DDit+RQZhmEYaTEBrbvoliWONvpqGIYxxXzy0psewQlp/9dEMEPAo61JkWEYhpEG60h3F/lOJ6BBTPA36iKvPEMINcjplx4Y7nR6jCOHF37+DacBZ+PKXy48ov/j5kXi9zKUtCP2UNKAmKtwjv4/5PrLTzllf28mMxu3X6yI066o4bmoqsM7Rsf8svtB2f9xP8HQxMRDE8XiCdGz9WUygaoGwH3hJd01OrJ3IghmEdunlvG8UYldUCX6JRnPWw18N13uGoZhGM1iAlp30S1LHE1AO8yQV57xIuByDu20lndeq3VSa/0vOE10A1P3NIbBrwN/OtWReiLgTKNURETwYGcA8xsN0xcpAM8vDyeOwsOB6vL4tYli9QUZ+SD441d97e33fPFXPzHUaDoMwzCM1mECWnfRLTNoUt+J0WWsBt7bprC7ZemucfjQEVuN0sDgle95O4IgaFhAy/n+saOF2mN38/r6i4HqvVuHh85rMNg1wInAA42mwzAMw2gdNtPRXXRLR9YE/8OPdrYV3TIzbBw+dEqRUQMCmiTSxOiJHA9sq+NmhScyK0m4wBkJ3RuGYRgtwgS07qIVdm6mArODdvjRzlnRbhl4MA4fOjODJlK3bcyIN54wTDyRJ9Knqipr2hCmYRiG0QAmoHUXQacT0CDdkk6jcdrZVpiAZkw1HRHQPJG6qwsyXvKxkKzn1Z2FluQrG978qq+9vSP5ZBiGcaRjS9G6i24RfGwG7fDjZmAr8A5abyOpqwQ0WbtyAfB+nHKTUeCLeut6U0veXfR0KN76SxxFepMGmvX9OeM1lH6EJH1mAf4QuD5pegzDMIzmsBm07qJbOrImoB1m6Jce2KBfeuAfgYfbEHy3lOuIHuAPcFoArwfO6mxyjBR0SklI3ekxT2Q5kGiZY8bzjmnAWRqh9M2v+trbTemTYRjGFGMCWnfRLR1ZE9AOX9rRWes2JSHl9bBbZraNEo0INK1Gy9XfV0JEZvRl/J8mCVicWv56ykXSCKUnAb+Swp9hGIbRBLbEsbvolo6slavDl3YI392i/CaiXCAzAa2LeOHn35AFVnUg6iINto39mYw3Wmh8PC4U/LYCM2s462s4wEO5Bvh2tZtLrrvEA+YCMzZdc9uGlHEYhmEYMawj3V10S0fQytXhSzsEtG4ZeIgoFyi7TcA80pkLJN7n1QIabr89kbMF9ik0rBpfYLxaQVTVPFAIgmAYkSBMSwEoqmpRoeCLBApFlCJoEARaVNVARAZW3Piytx04MNoLLKxwLMC1+cNLrrtk/qZrbhtrNM2GYRhGZawj3V10S0fW9iwcvky0IcxuKdcR5R1tE9C6i6b2n6nqGK4eFIB87FwECihFhQJo4IQdAoWiKIX94+OegIib8pLwHxEQ3P9euE9NDoyPbXp2aGhRoOqpqqeKF6BeoJpRVS9QfEV9VfUV/HyhuC9Q3amqOYWMqmbUfeM9nN23rO97gYgMVHimrUP7RxfGfrPtmd1P4JY4AnyigawZwKnm/1bKrDUMwzBCTEDrLhJtHO8gtgft8OUjwKsP/lIF1znN4zqtE+jB367jqmHHFQ1H512nFUVxws6WKX0CQNauPA34Jq6zHhB2ipm8L1dj16O0l7v5uKxd+ZHQbRCeC8Bb9Nb1d7frGYzkrPncG942Ojrxgm1b9t2rgXqBqq+B+oE7MhpoJlDNhNeyqppVJROo5jTQbG9v5rFjF89+Dulm4Arf2bAhyTdXSaCAplgMnsHtRavFBE6QKueQ5Y8iwuDMvq1D+0dPquC2FldgApphGEbTmIDWXXTL+v7+TifAaC3y0tOuwanYz+KUEeTC4+DoPOnf+89akcYk6K3rH5K1K98H/HcLgjsqPMq5XtauvERvXW8zbNOHM/MTxbN37RhakcazIM0sM0/6vT0T2AYc3YhjEVHVukWt2iDfjPIL/TN6zxzaPzpOMu2PVyy57pLf23TNbVbmDcMwmsC0OHYX3aLFcbDTCTBazjyc5rv5OEUEvbSu/ehIudZb138W+JM2RrEGeFEbwzeSE4yN5YdT+5bm9gGHe8Eajw0atq8n0tDSzYpLlEXEo2ypsed5g77vJR08WQycndCPYRiGUYbNoHUX3aIkpCEBbfkNl2VwHf1oBmbPw+/7VpIOjDF1tLOt6OQetOuBU4A3tSn8v5K1K79rs2jThmJQDFIPCEiTAhpuBiubwP2CBG4bWXZZa5n8KGUzaX2DvYWhfSMJkgDAy4H1ST0ZhmEYJUxA6y7aoaChHZy9/IbLvoXrMPTi9jf0xf6PzuV71a4EPj11yTQSkKRTmZSODTzoretV1q58O7AEN+PVas4DXgF8uQ1hG8kJgkBTl7cmlziC25uZhOfilraf0IDbRupo1fhFGFc9VEDrH+xZMbRvJN9g2BFXANclcG8YhmGUYQJad9EtSkJmAy9J4e+3MAFtutLOtqKjM8N66/oJWbvy1cDdwLI2RPHnsnblV/XW9ZOec/Cq1afglo8WgRHcbGI0A63h9QNDN975ZBvSdSRSDIL6G7Wq0YIZtDQrBJ6mMQGtufhFxinLGs/zZnq+d29QDM5LEMfKJdddcuyma257JmUaDcMwjnhsD1p3cbjbl7l0+Q2XJVnSY0wd7dTM2fG9lXrr+t3Ay4DdbQj+dODXq9y7AScY/hh4EHgE+El43AfcT2Mqzo3GCIJikH65qUz5DBrAOcC+Btw1UkerLieWKis0+gd60qzceHkKP4ZhGEaICWiJ2Tyng5GPdjDuqcDHLQczphHy0tOOxy3VaxcdF9AA9Nb1j+PKXzuWEl8na1dWmoVsxBBxeqUWRjlBF86gDeAE9Xo0sgyx+n5PkYpp6x/sXVHTX2WuSOjeMAzDiGECWnLugc0PwOaPwOaXwuZKNmXaxeEuoAG8uNMJMErIS087G6cG/7ltjGZaCGgAeuv6O4HfbkPQpwBvlLUry424z27Ab2ItDUZVikFTE2jSrLKXtEqQTqP+EvdGBLSqdS2X9Z/IZTN35LKZdT25zDoReQCgtzd3v+97jQiIcS5Zct0lk1T3G4ZhGI1hAlpyCrglS1cB3wB2w+bvw+Y/hs2rYXM7bYAdCR218zudAOMQltOYENEM00ZAA9Bb1/8XcG0bgv5n4PfLrjWStzaD1jqamUBrfgZNU2ssnY9bBluLRtTsV03/YH/vgrmzBi6aO2vg4jkzBy6eNdhHb0923czB3pPnz5+ZdHl9jnT7kA3DMAxMSUgaykcxczjtb2vC3wFsfgJ4DHgiPJ4EHgc2wKLU+8g+/ur3DPVne+54ZMfTPLV3e27n0L7cntGhXhEJxgoT2Wf37Zy7fWhvJYO53cTxy2+4bODh933LOqXTg0Y6fc0yrQS0kD8HTgTe2MIwc8AHZe3Km/XW9VH5tiWOU0uggZbPYjaMNLkHTaGYJnKBoogcUwyC/bj6kscNFhZRigoFVEdVdRtOCAtCdwHqfotHEac9t3LaVA+ph7092TN6e9yk3Ny5M9i2bW/SZL8c+J+kngzDMAwT0NJQrzPp4ZYznVLhnsLmp3DCW/mxARbV3Pty0YlnLAcuOve451R1s2fkwM827Nm6f8fQ3uDh7U9nvvvYfcc9uWvr8UpXmWFaDPyy04kwAPg6sA64uI1xTDsBLVS//xacYp63tzDoo/1e/68Hr1r9saEb73wE2APU29dqAlrrKAZBbRlrztz+ezyRQERUPFRE1BNR8YRczh8VT9ZFQtZgb8/I7P6+Ac/zxPcEXzxPPBFfxBMR8UQ8zxPPE3csnDVjZ08m4wMi7lvhi4gPZMR9j+NHFsiGRqR94OSHtm370VN796VaZeB7/g9EZFW1+55I1cGCTNZPs/f6ZUuuuySz6ZrbOmnn0DAMoysxAS05zWhSFJy9pSXAi8ruFWHzRpxgUn48A4sC4MJ6Eczpn3HmnH639P8lzzmP97zgVajq2Hgh/8xD2zZu/t9f3NPz9Yd/dNrQxOhBY9Ize/r3jxfzPeOFfE8Tz9ZK2r2kzmgQ/eZDO+Slp70Y+BTODEI7tDlOOwEt3Cv2fGBlq8Mujhdfr6pvGrxq9feBd+GUQHygRlxDrU7DEUygSs1JrGOOmVVViClnyYK5dxw3d85Fjbrvy2Tu80SWN+q+nGXz5894am8jCh0rUnOUTmvsj/M8SbN0fx5wAfCDFH4NwzCOaExAS067FHX4wEnh8dKye2OweQ9wTJqARaS3N5s7+Zxjl518zrHLuObFb9D94yM///FTj+x+7oLje4+dNf9chQNP793+072jw/ldI/uCpXMW5n625cmJT/34Gyc8sWvL8U0+W1LaaRTZSIh+86G8XL5iNqqbcDM+57Q4imkjoMnalTOA1wO/C6xoSyTKnOJ4cV2mN/MKnNbI+4EPAa8GXlPBx5Gw93SqCFTTL3GcFFjy5ZJNLZHM+v6pCwYGfrZ9ePjMpH6DovZA8ANCQU1EFovISTEnVeuhiIAT4JK2zVdgApphGEZiTEBLTlotXM3QS0rhrBIiIrN6B05/8bJSP1tg9pI5R69aElvIcuK8Y/i1055f3LRn2z0f+MbNc3+25cl2GPGthCmvmX54iJwIgOp9uGV5J7Yo7I4LaLJ25Wk4oeyNlAxFRzwLbMBp0muJmY3x/RMr/R5/r4jMBs4CPlPD+bZWxGkANQSkufMG7vZ9rwisbjSwYnJhr+myftrRCya2P7khsb8gCM6Pr+7MZP07ywS0eksRR0knoL0voR/DMIwjHhPQktMOG0nTFhHxl85duOoza/9Yf7nz2bt+/8sfXfrU3u2L2xytCWgdRi5fcTZOAMuFx9LSTTkHp1DgB8CpuKVMzdCsbanUyNqVLwCuA15YxckB3IzDauAeoOHlbzVRZhTGiuuyfZlG9vbd15I4DYBiNSWORx89Y3koMDceWBAkbauaLuu92ex5M3t6Ht8/Pn5yk0EdkhP7D4xsGxsZvxMFRb0g0B5Vzani45bnz08Rx7Il113ynE3X3PZok2k1DMM4ojABLTlHlIAWISLynKOOvfBbb/3r/NN7t9/z5O6t472ZrGT9DFk/4/Vne7ysn/F8z5Osl/GzfiaT8zO5rJ/pK2qQH89PjL7/65/079z4YHuWjRmt5j3U0mDoFBu8ANUDOCUiq4C0exgPzirI2pUDwFG4tilSjuADB/TW9ZtShj8JWbvybOCvmLycuJyfAtEeo1Nxyw1bYkpj4sDE8zK9/g4RqaV5dSdHhv3DqaKWgJR4f2WgmkhA0zr7wBrljGMWbrtz46aWCmj5fHHOxEThghrun04ZzxXADSn9GoZhHJGYgJacI1JAixCR7PFzjl51/JyjE/nrz/bwide8N/+1h+9Zd/OPvrnklzufWVrDeVepnDxM+QBuZmkct6z385QElRIiM4CLUX0W2IRTrJEUlbUrZ+LUct9E5ZH6H8ralVcBgd66/t5DkrB25fmUBDoJz17Z7x166/r1snblMuAvgNc1mLa48DQTp7SnNUt9lb7CaOHebH+2loA2H9gweNXqzwIfGrrxzgdaEveRSy0BLfEAQzEIkgl1qgHS/Ba4wVzu/L5MZutoobAwdSBlqn0bsPGW9ttnApphGEZCTEBLzhEtoDWDiGRffuoFF//q8lVD7/v6J+77+sM/qqZswgS0DqPfeHBL/LdcvqJ2r1JkMbAY1V/gZsRObziyXn8pUE813fNxSwyRtSsX6q3r4/uy1lG/c12UtSu/g7M7Vs+22xhu3+dOJpvL2FPHbyImDuRXZfoyW0WkVkfbx2nQ/K3Bq1Z/A/gb4M6hG++0epKcWnvAEi8/DJLvQWvJOxORzIqFR//y3meeTS2glSekARtvafdfP3/JdZcctema23ak9G8YhnHEYQJacsoNVRsJEZHBv/3Vd5zzocvftv3h7U/98u9/8MXZP9z00Gmxzo51PKcfjc0UiJwKgOo9wLHhUcdP4vf9BVm7ch+lWbJGZj584LLY7/Wh3zFcxzOHE8r24/ab7QzdlbeRrbbplMuPFB7LDWQb7WhfHh53D161+m+Arw3deGfH9vB1IUENiWoCVwYaDyzQRDNorWzY5vX3r8x43v5CEMxsRXjiSc3kiZCvtn+vDh6uzH46lW/DMIwjEBPQkmMzaC3C97wFKxYuXfDJ115FoLrv6b3bH/6P+77Ldx67r+Na/YxJJFOGILIK1Qnc7Na5OFtfraKuPcAGqGffrJpChJYb3c0P5Vdl+zPPipuFbJQLgK8ADw1etfp64PNDN97ZCQ2z3UZm3lEzstl9I+v6+rL5TMbPirg9tsDzkgYWaDIBjRbKaCIyuHzBUet+vnVbSiPyh87+idQW0EDyTST/CkxAMwzDaBjTlpccE9DagCcya8mco1f9yYvWrlr3Oze2zE6R0TKStxUiOUQuBoaBu2q4PNJnTLP54UJyvemO04BbgScGr1r97sGrVrdSED4cmbdg4czzT37Owovnzh1YNHNm78UzZvRePDjYc5GIJJo9g+R70Fpd0BfPnHmqJ5Lum1RmsFvq7I0TryFlNXlgL7BFhA3iyaO+7/08m/WPfsnn3pRWiZBhGMYRh82gJccEtPYzo9MJMCaRfjBHZAGwANVHcPXnjEPvd5WA1pbBg/xw/vnZgcxGEVmaMojjcApW/nTwqtXvH7rxzn9tWeIOL+Izo03Phgaq9eyCFXFCSwEoolpQ1W3h9QJu31t0Lobn6Cjmg6BYDALUGdgOVFUDUA1/BKo6s6dndO/YWC9AfqIwHgTaQ2m5uKirYbJr64F9WzbunaOooIiqZkHuVVUPRYJAZ6jq/YCHqvMHPoooeIuXztn/nBWLn0SI5hx9EfEEPHcNstnMgtBUQSVzBRcB30mf24ZhGEcOJqAlxwQ0w2iMCYRxhAm3PEpmEegxk/endXDCVPUBilpJ8YeIL+PZ2T09uIkPAcgP5ce1eFCeHMYt3dwAHE8KNe0xvImh/JaeGbmlTYQBzibdpwavWn0W8Atc2qMEa/zo7/WDcNZEExxBWXiVznEkdhYqv+xgsM8XEfHK3EVH+fWAUl7HtXZKeN3Dfdv88JwFMnOOnjUyMLP/4HLAbE9mXAP9ASDh9JEnIAgeuLSIHDT14AG+73mFy08+sc8T8T0RP+PJQF8ut1UgI5BFxBfIiovTE2eO4mC52DU6nj2QzzesAvehbdvWbx8errccF/FcthaLwQ810IqaVPtn9NwzOjyR2o5ffqy4pa+/pxnj9L+CCWiGYRgNYQJackxAaz+2By0h8vLTZwJ9OCUHPTilF/FzHyWj09G1npibcvfZQ9z57MMZTI53fF3n15Onmd3znEP8uI5pFK5DdT87xsr3p9XtfLaVou4hr1X28MiTfs4/pEMqs+TZ/FB+nd/jz/B7/JUa6Hbx5IRgIrg/P5wf8bJeIdObWYRHnwZ6IMgHuwsjhV60/nMWRgoX5Aazj4tIs/atAN7VgJshYLAFcTVFX4+3TtxS2LYyMZa/Y2Amp0W/M9nMeUnDEAgWDA6knk0WSTYakfH9RPsKBYJq09E9fZmTkoRVTj5fbCTtCmzHKd+ZAPLiZgjzTcwOG4ZhHHGYgJYc24jffmwPWnKeoLpii2Z5ltoKLHZT29hyREnwFsnh7KftQhhuNoFNULWsaSE4Opgo3ilZ78JQiQSe7y3umdVzMC/ElwUAfo9/lt9TNoHmg5/1yfRlGNs19lOUs+slZuLAxO6emUfOVp2MLz/J+F7bhTOAQr7Q9FJaBU9VCyKS6tvpuVnChsl5XrJlmDVsmdUxiF6XoBDIYC63R8APVHcP5/NLAQay2Q2eyBLcjKEA1WYIz1n7rd875tbL/mlLlfuGYRhGiAloyTEBrf1YHiennXV5E1BLQGu045tlIHNnzIdbstbj9+JxB4FegJuFmx4oA+NbR1dLznusZ37vPsl456YJRkTwMt6BIF9fG35htPi83KA+LJ4sTxNXQjq690+Ezb05r6lZnSQU88V69u8aZZSU+2S9hMtgs76fcDWBUOu1er6MBEXtTxamIwjU90TmgHsOX+QOABE5VRoXPF8C3JImfsMwjCMJE9CS03I128Yk9nc6AV1IO+tyPYG5sY6+yCAD2dVV73v6NIE+S6Cp98kkRuvP1upEcMrY5hEkI89m5/Q87vX6Z4tIw7anVLUY5INFjbof3z8x3jv7sJ9FGxno9YdEpOF8aZZCobigRUGNk1JASyDIAJDxvERCtNRRuON53lhQLKYT0IqB73SUUAT8/mz2nPD/QFV3Af0i0lcnmJdiApphGEZdTEBLzlTvj8oDB8JjJjBniuPvBEOdTkAX0s66XG+fUmtmYkSOw5fj8PQBikEO5bktCbdOrI061IIuntgxthhhKDun5w5/ILNMRGoamNZAd4/vGX+cBDa2iuPFs4Kirvd8aff+vI7MoKkq/b3+T0WkFfbsEkTMiUEQjHiel0pAKQXDeNo12J4kq6dz+/tnHzNjxr1bDhxIvF+uYvxeSpX8QDFQr6BBpJCl0kz3vZ7KOKEymVLhUghnyxXmve4b78x87vJ/sYFOwzCMGpiAlpyngLtxH6gCbjR1HLcpOjrGY+fo6MetzR+lJHCVH0OTry0aL0W9+UPA+9v7eNOCs4BfdjoRXUY76/IxNe+2Wk2+yBlkfFC9i0JwElBTCGo2tsQ+lMH87vGLCvsnnu1dVNnsWJAPHpvYP7FLAz2dFAaQx/eN9/fNTWyWqyvIF/QO1ZpLZtuFjI9OPN430HtGfafVUdUJ6tgMq5oAku1dy3reCQsGBu7fcuBAgxHUTph4klowCoKgXtrPCxprCs6ntl1EwzCMIx4T0BKz6JvANzsU+Xh9J4cFvwubPw+Lusk+VqdpV10eQaizDE3a855ELiTjjaK6jqI+D6eJstWkt+9WYwaqMFrYrEE17ZD1CfLBc4NCcLeX8S5IG8Z0JAj0qWKg5+MGuqac0aGxPX0DzQm+AUyktacgkmyPZaC6Y/foaMN1u57Y6Gck9TckCPSQdEwUCpuyvn+MOIU/SXgpJqAZhmHUxAS07mKs0wmYIi4G3gp8stMJ6Qbk5ac3Y3+rHpuBemrf62u/SItIHyIXI7qVQH9KFRtPqWlgD1pVpPpsRGYgs6w4XtyPW5acirG944v75vUWQ1ta7WBKB0BUde94Pghwphs6MvgyNjzetFkBVU09C+WJJBLQfM87acHg4Oan9+1rzIPUHnDwfa8pAW3v0MidqqqAHhgZO68nm7kn4/uqKOEf7jaoqqiqpyCqCKivigclUweGYRhGZUxA6y6OFAEN4GOweQwW/UenE9IFtHMt3O66LmQK9mWKLMSXhXj6MMWggHJ6i0JOb9PKq14fPd87Jjcr93D+QP5RDXQ+bploovekRT0+yAc/8HP+C9KmsV4UbQp3ckSqjE8Ej+KWt6HaRqG+BkExOD0oBkOe76UW1IImBDQaLG/5YvHBTXv3HghUZWhiomH1+PXU/3sZL7WG3CDQ7P7h0UOU/IznCxeN5xNnx3mr/u21cs9vf95WSBiGYVTBBLTu4khZ4giubP47bH4FcBUs6siSqC6hnZ3dRgYFpq6jJbI83J92D4XgWODYJkNMLaD5g9ltUF2RiZ/zl/vz3ORXYbRwb34on1jRw/i+iVP65vdOpFhGNq0oFPUHCnFBs1PG6HPD+0fvmzFnIPXS0WYENGlQzf6ukZFdT+/bl3iJrOfJIZsiVfWQbWmeL3lce1EIB1bcIQSCFIHg4HVnUy1A8bWox6HayjLoYxqRDcMwqmICWndxJAloEa8GXgabPwz8NSw6kmYRG6Wd9bj+EsCiHst48T5y3jlplSckRmQVGW8CZR3F4Bzqa5qsRnoBrS/TkPKS4kTxwTTCGbDRy3mbgnwgfs6/KIX/aUEQ6OMFt4fwIOP5YHcum377X19PbnMm442JSBAdnkggQgCinoiKF12TQAQVERUR9TLezol84e4wqPjgQrg2r9I0UDIAACAASURBVMK12P8/37xt36IZg8MaXlEUdX9ouMzP/XICUvw8NDo+ftsDGzcWiyqBBhSLKsUgkEBVgiA8NPDG8sXeYhDcp6iH4qnig3rhEkE/+l36nwyQ8QQ5ftGMEZwSq6hdGA3/zxYzEgwcM+ABDQtbqvrkyNYRVBv2M44T/DwiW4fuKP122ixNQDMMw6iCCWjdxZEqnPQCfwa8HDa/DBZt6XSCphnt3IPWiErypQznlzLCg/RnJ8h5K6dEUBPJIVyMeDsJ9H4CvZCkWhlVU0sJmg+2S4//nPoOa84WPZ0dzG71st68oBDsLowU8lrUC4AtXtbblB3MXjy+e/yXffN7x0Sk1UtZ2zrzOTZRvFOV44EFuH1nBykUmpv0veCsZXszGf/UNH5Vdehnm57p0ZRG0e/d+MzdhXwx1QxcoRDseuLZ3fPS+G2EQDnA5Dp78LdIKqFoYd+Cvns9kXw2l9mGSFacsJUJ97yFAqL4IvSKyOwGwrS+h2EYRg2skewujsQZtDhnA9+Czatg0WinE1POvKsvmr3rQ3fs7UDU7azH8xt2qaxgOA8j/JyBbJGcf1Yb01VCZD6+rMbTxygGQyhnJ/CdWkDL75uY3bOgvmJJv8c/M9OfuaswUjgWWEzpfWnvvN5Z4slxAF7GOzHTm6E4UXzYy3onisjFAF7W21KcCLZmelo+i9Y2Aa1QDO5TpapRcm1Oe2ZzywxFBmcP9N+3Z3jknJQBpF6eKdLW/aJQR+j0PClQTPbaRaRffDkPGPIzftNKVkLaOahkGIbR9ZiA1l0cqTNocc4Afhf4SKcTUoEPz7v6ovOB9Tg14vuBEZx9u73ANuBpYOuuD93Rys5xu+qxQj0V+xV9nc5QHiT/MwaykPPPbH3SKiBySrg/7V4KwVHA0gZ8pe8oJlCOkh3IXpgdcH1nVS1qQTcGxWAvwiQhwc/5y6P/VRUEGd8/vsKf3zcsIpUNr6VAQdsxz6mq+/MFrWk7L1yq10wcTS2PO2rm4Mie4ZFUfqWJPZ+eJ+0wFRGn5jLEbMZjIp86+a0ULk1AMwzDqIEJaN3FkT6DFvE2pqeA9hNc2uoZwh2dd/VFj+OMcT8ann8J/HLXh+7YlSLeVEu1GmAz0oRBYeVMhvLQE9zBQHbq9lCJnEfGK6DcQTE4E5hVw3XqjqKknEkREV+ycpLXwB6s4nhxfXGseCEwnBH5zrFL5jx3eHhi586dw2cDzQprLZ1BU9V8oag/KhR1CXBc7YjTLy0N42pKyUh/LndKas9NSLUi4uH2Z7VLQKknoDUjZGVUNQifoSIze3vuntHjVrOGhUsP7uwjUsYP+WJgApphGG1B5g8qE23UQ3Vg7Nuqeln7InCYgNZd2Aya4zmweSYs2t/phJTxugbd9QGnh8chzLv6oh3AI8AGnND2CE6Ie2LXh+6otqyzkX1iadgBTQhoEZFhpKlEJINwEeLtJdA7Qvtpk9s7bWoGre2q4jO9mZV+jx8AMwPhhX19Wenvzz13xoyejRs27B4H5rY7DfVQ1bF8UX9cLOoyqL6s8VBPTS5xDLSpvBeRhQM9uUeGxyeqauGs4bvZ8jxKeqU29agpoPXk/Ka0np44a/Zd/T058UTUE8H3RPePT4zvHR/LKRCoehnPWy4iNZdG92Ss72EYRpuYKMKqE9oX/ncebnzrRxNYI9ldmNarEifjlhJOC+ZdfdEq4NIWBHVUeJTbvtJ5V1/0NPBYeDwKPAw8jJTpnWsdQ20JdSoRmY0vF+HpRoq6A9VybYrNCGhTInhGMxbFos7at29s3ezZfRf39maXDgzk1g0PTyRWxR6jqfQHqtvyheCRIOBMIOkMaVMzKEGTM2gAR80Y3DY8vjuxgNYC/TfjtE9AG6HGUkTfl0XAFpxdvsQsnz9/xWBfz5z4taGJiR/8YteupLb6bAbNMIz2EOmN7XJMQOsuzLBniROZRgIa8L42hy/A8eFxiCA484SZj+1/si2TiZ2yVdV6RJaSkaWo/pRiMIgSLXFrYiZHptzY8pYt+8+dNat3l4jMW7hwxilPPLFrggQq0w9B0bQfMVUdG58I5gGpBERtVkALgqbzfmZ/35SMglZgoo1h76fGrKqIkPFlQ6FYe49gNfLFYNIye6/GkscamIBmGIZRg6aWmRhTzmEwJtAy2q0NrWHmXX3RLODlnYpfvLYtcWyRYdppVGxFzsb3Tsb37gR20sT+PZmCJY7lBIEO7Nkz+hBALpdZtHTp3KczGe/etME1kZS4na3kaHODg80ucQTwRE7NeF7yPZ/pBJKS9/YKaHXLc19vJvVAX75QzJdf80TSCFs2OGwYRvsQad8xRZiA1l3YEscSw51OQIxzaJ+ijrqISIsEqUk0Ys+oPjKdJDTcNIInq8l4PTTTUZyiJY7lbN26/3xV3Q7geZIpFoO0M0GTOtsJ8GluRr+pGZRi8xNoiIjMmzHwaGJ/zX43pal8r0fdtqCvN1NTgUstKglokk5Asxk0wzCMGtgoVncx7Wx/dZDpJKA92eH42yIAZZcM5lAe0GJwQPNBQSeCjI4XZ2o+WEhRj2pHnFOKyAya0YwqTSuLSIUqPbt3jzwyb97AAhHpIeVeQW1iwEfcKOIYTuFNmribGtAIgtYonpk7OCDb9h1I5qnJAQdB8u3aNEqZQfBKZHw5HthNCgUzE4XipNm/egKrqo4VVZ8pBsGeQHU8UA1UtTWDP4ZhGJWYXsPCqTABrbswLY4l0hkxagO7PnTHxt61K/+lOFo4VRUhUE8VD1VPFR9VP9QWKAgTIhIQzj4oeKj6M0+ZfbTf4ye3OQYgbRiN9tgvnpwEIL4POf8Qpe6qOobylE4UtwYjxUwwnD+Roi5seTraT9fNoAFs23bggrlz+5/N5fzFJ588f9djj+08AMwIb+/M5fzHCoVgIAj0DAARNs2fP/BMEGhQLKoGger4WH5cVY8RkbTLhfOkFNBoUkBrxQwaQE8mcyrJ1d43990UgjaWnJwITyJSwD1XMbTbFoRaRxUkGBzI7iwWgjkiaGTXTdyAgyIgYfskgjPEF3Z2Ht+9Z+iAV9geKKiqKEghCIKxQuH7Y4X8bHVCXzZ2eMBMnFKnOB8EXtm2XDAMw+hyTEDrLmwGrcR0mkFjfOfYg8A7G3FbafRci8HjaVf9iEjLl1dK1t+M61hVi7MXYZn0ZpZ5vRmY24OqbtCJ4JlgOJ8JhgsnVBHYCsA4wgSug19EGcN15iZwHcP4EVT5v9JBnWvEzgIEmRnZQhi3htcixRnal/XVz1Tab+RmzjTn7Q98uass3IOBlwlwUfgH3eYLegEpBRVVsjt2DG1csGDG4kzGn5fJeD8pFIJzgYnjjpu9dXCw5wKAkZGJX05MFPfNnNl7pufJkngYjz2248F8QR/r6/FPPzRslzzAK1++pqoBHHx3zSzVy/q+dz9uMi4ACXDCgoKoEwxQEQmcwBBeE1EBJorF4fFC4Q6XFRBlfzSvFtYxCX+HU50qqiX9Xhra6c5lMnsnCoVIM6HEzvEx2IO/RWR3ri+3voI7aeA3Im3dg5bL9WZPrOdo7mxZNz6aX5U08OHCxP17xsbPKr+uqtsVFiQI6tde8dW3Pu8rV9z846RpMAzDqMsU7hVrFyagdRc2g1Zib6cTUMZngOupIdTUpJk1T17TBosnITlvX2I/IidIj3+C1+PDXFDVIdwSwrPDc05EMrh252CaC2PFe4J8kLiz2Aqys3Lj4TLBSRRhV0+v/4vBvsyFtYzzpmXrrrERmphJ2rFj+IL58wc3eZ4sWbBgUPbvH1u3YMGME3p6MisiN/39uWX9VVTIiFAAzhodL0YqQAW3RC4XpmuY0jLGHG4EwcMp6GlWSU/2tBVLJ3X0k7BnrDXjVb7vraNAkvL3MxE5M218nufdWyy2TUGqV8+YNIDne6lmPoMgqJbwNPtg/wp4cZp0GIZhHO6YkhCjW5k2SxwB9Nu/2A3c00QQ6Yd7tPXKY6THS783KwpDZFBE5onIDBHpEak2pKWdVBhQS0CaNzJWfMH2PeMbRseL901x3I3gbdt2YAvArFl95xx33JyLe3oyxzfqWUSiGbCZ4TGDQzvaA8A8nCH0DK1d1d8uxTaJGejLJVWa0dR78zxpp5IQVOsP5ImQag/p9p37tj2xaetdj2/c8sPHN2y5+6lnd3wrXyzcmw+KTwIMHRh9OEFwL3rFV996SZp0GIZh1ETaeEwRNoPWXZhAXSLxDE87kZecOgg0NSOQGiVPi7VIStbv/vUBDdDgzNhJ+4fzDI3k75s9Izcnm/HqLiFrBN+TH8aTEp5LSyEFVFWDgJXA47jydch72b17ZNWCBYO/8H3v1KTxd8JMQIy6yiymiozvnwg8AxzboJdmBbS25nsQ6LjnST3TG4kVhABMTBTmKFwQ/S4Ug/uLqgfbvU2bto+dtmJJZc+Vuf4VX33rBV+54maz8WkYhhHDBLTuwgQ0R55mtO+1GHnJqRngH6m3B0N4wvNlOCjo0v/P3pvHyXGmdZ6/542IPOpU6VZJlmVbvtQ+ZMuyWz7kPgDRDdPALLswgGmuYQ9DQ5sZGOhdw3jx7sCwBvpgGRYG2BkaGGBmaODDuE9LtqT2Jct2W75l2brPuvOKiPeZP97IrKysjPPNo0p+v/qEMjOO930rMjLz/cVzocUVkjVqUjG4rdsRFawjVLAmqCmuCkEGAFnxRrjkh7ppkR07wesc3LeU26mErWTsuDRd8x2bnlwxlLtJCBqLP6o9zMw5RyQq8szMZSK6zZd8pOZKC8D1zdtPnJj0r7wyy3y794W2m8gxM0KNqj2EiODY1lHX8y8LgcbMsTFuRDSK9MlRgEWlFRZav32fhyuV2nuFQi6pJfcuAJ8A8Lcpx2EwGAztIQCi/78tuhiBtrwwtWMUM8D4krjjSnu2rQfwlwB2R+w2ufrGsRPFFfmbAED6XC1frDxXna2VhCAqriqsd/W+TKQYcQ4CKokCVC1FKUZy60nQPe0OEMPOEffdiOzsFq3SGdAyIYvl0XI9vu/8ZHV6oGB9ZahofyhjkhYXCd38iKgIAJagbYWckK7H+3zJtyHI2jg7W7u5VvOfzeWsnWkG0G2hEAMxw6duZCDNwGAxPzQ5k9hrWsv6J0R3yzN4Ps84DtbF7UeECWakqqEXJIlpICVfdezY2ZdZ3WQR69aNniCiG1MO+de/50s/9fd/+4k/7FpgnsFgMCw3jEBbXhgLmmJJ3BqhPduuB/A4gEifnuKqwovFFfmGtURYlB9cW7xjcO18nL5X9rLXUhPk26sKu+J3bIIwQgP2YS55YW6ZGzKPJz39eT9JK3ZvpFz185WaPD1UtE8XcuKulNYgDxnisIhI5BzaLZnP1lz5CrNKbnHixOSKq69Op6n77OIIKWVFCKvjCW6yUMg52wGcBxLFZmnFz1lWd7/GazV/oliI/2lnzvR3tIrLISm5kQV0eGTAzeedjSnbvAnADwL4swzjMRgMhsUsiVmiHmbCv7ww75ei7x892rNtO4CnECPOAKAwkkuS8U7nZkniiTZLfkNW/afktHs0VJxZdDYss2E34P5d17rJVQjA5tmyd9fF6dqLridf71XfgmhdIWd90LHpEID3ymX32mrVS5WkhvpUaLuOlPGueL2CiIRjW68l3F3XgtbV7y8pOen3QfpMjjHZZqWUWROgPPI9X/qpJZM4xmAwGPqNmfAvL5aEO9ASYAg41bdrl/Zs+yiAbwDJ3IMqU9Uk5RGyv7ecQqCVvdPeqdK9/qVqqEsm5cS5zGPJAvdHcJNeHa8FMOPWyVn3ukvTtf2+5CTnryN925a4vZAT64XA3hMnJseYObHo6rarXRxLSaABwGAhnzTuUqvEgGV1NzhCCIq92cPMPjLE0jHCr6/168deHhgofCBNe44QExuGhp6+Ze3aE/ds2vTYY4cf6V3sq8FguExRcR5dW3qEcXFcXhhBrbABrAdwqtcd055t3wng75Dis1O+VN0pfa4Ii0IndrZFbzPwVvDRrxe0DZK6EgEsg+eC5rP8CQDwfS6j6i9KUMLMHoBpqJIEFoA85a0BEEpghE6EKGfNJP3bOkR/rmuCbsxL6zc1+ZLvuTRdK+UdsXd4wL6LKPQ971hpBCLK5R3rfgK+BeA4gEQJGkSfg6j97NaWrlDIO7dgFnNAdF1BIrKDWKxM161ldb6mXkv7SSxRc8hSszFC0tu2GBYimeV9VbH44tUrVpSKtr2TiO4KVu8G8OHHDj/yzx7a/vBLqcdmMBgMlxFGoC0vjAVtnpvQQ4FGe7YRgAcB/A7Svw8Dfs0/IYp2aJa4fM6KSjISPTaSJ1vXsSefdY/P7YRKp92c4i823R/lRK8nzsvZxbEdA1VX3l+dqr0zPGBfzDvijjbxaR1PiGBZtJqI1ifdv98ZFKXkJSXQiMixhDjkS3lX3L7lueoTACwGAtHSUC7ETa/zxVzBtq07m4+1LNHV73FOVhexjAwCLcrkKiUv6JcAnwCfiFxLiNJYofDu2oGB0opCYZMIL/S9DcAzjx1+5BcBfO6h7Q8viWRQBoNhmdH3QBh9jEBbXhiBNs9OAF/uRUe0Z5sF4I8BPJC1jTOHL4ysuXHsW4Ugk2OHWTyJETTmbBo8CGZmFTciwQDUK65PKpmDo5lJPYJE0c6cPj4TzFouY9nRzmIYJyyvmil5V80SXhgddAYdW1zXtK3jxcWZOZXLWrdjoeKQfsOCxgS8DkCyqkWW3rLTIYp5x50tx1fwmJ6Yu11KXhG336AnDwwOF5+/eG6qnlWRSmW3CuBtKJEuCZBQCVt8qE+jDIQNGq/rn06A689Jlczg4E3k+rtZrbjTvudPB86IzYKRmBvW+drQYO4oAqcdABRY5NstVv3xqvE1lSvWrz4OlcTaDrbVlw1Xjo7szwmxK6gvWF+fg7JKJi2OnQfwuwD2PHb4kR9/aPvDvXW5NhgMhiWAEWjLC+PiOM+HATzao75+BBriLGDk/KsTm1ddt+KFgVWF2zoxqDrMLJn5JBhzYFTAXAVRnhyxC1j6N5LIEW9CueYBjeE2Rk0LHmnRutbnzetEsKV1G0H5ik4A2KIx9ESfR2bcNjnrsmXR/tFB51pL0FrPZ6/mybfrYyXgpG3RfTpWrbRZ+YaH8jKfc54TREwCkpRPbSPIqP6aiJgITESYfyRW7viqrINoWgcQiID3jl+6YnauGlrU24F4eySfPzfk5K52LOsG9Tcwyp734vnS3CYAPS/1MFDI35BEoBFRJdqepJibqdw9N7MwBDVni/OrV+SvCW8br9kWTQiidJlZA0pV/+lq1Y+zAsrg/Uv1myKEOCmIrojYhdK2GcHHAbz02OFHfuyh7Q//tw61aTAYLneaZwHLGCPQlhdGoM2zGzg1AoxP96Cv/6FD7YzMnStPD6xKZzBiZpSnaoeZ2YeEZGUVkyxZMoO9qu+5E9WFRY9tOp4bXxIZzOOxxE0EpE3NrQ8hada+MNJ8Hsn35+PTCjlrDZQ7FwCAgas9yXsdixIVr24HM6cSaGvXjjgjQ8U7svYXx/RM5WCUQBvM5TaOFYq3NK8jIgw4zq3rB4feODM3WwIQJQY6jmWJ1UQ4wjz/3rSDBNU0nFQjf3ctonOCKLPLM5JldRUATiNlOQ0pZeS0p7VOWgdYB+AfHzv8yG8D+OWHtj8cr54NBoPhMsAItOWFcXGcxwHwHQD+ugd9JXXNiSfLXR1G7eKxmbB6Ze3xeFOQqc2DuqsdNXmfBvAGgFqwlIPHasjjxwDc3HT8nwJ4ommfaszz1tdvpPrbOgSlKE8QQpYbJio+zZWLErEw437Pl/tsS2SanDOnS//OzF1OViEiz6/ny1A3z7xtX7d5ZNSfrdWenq5VpSflOIC1yJIaPoBAbzmWOCVAGxh8wpNyJ4CzAM4y4EvmDQC25nPO+Uo1OjyO9GroRQpp1rz3S8pVNBZmnCdKJ9B8GX3NcBKzYjY+DeAjQQKRV7vUh8FguFzoc4x1JzACbXlhLGgL+W70RqC9AqiCwLpUJqtXnn7h/De5JbX8+ltX3SIs0X7yScit3Tr6OghERBYIggjWxXdn33PL3r0hXZF7fM4CYIlB+1l7VWFnxLC+Uv3sge9P+jfkP3X3JiwUaF+vfvbA/5/0+FasBzN5cnUC3UQdOp/H4XYrJeMeX/JTlqCboMbnQQkTAnAmeB7aLzNXk9aw67ZA2zS+YnDVysEn3zl2YWxisrQo9tLzZeT5JyJrOJ+/aziv/hxmhifliUvl8tGK792FFPXIcsLaZwmxG8BW1RbOENEQgCEA1xCUmyYznxsbGvBOV6ci2yMinRIBMbGCLDQ1WqIbD1LybNpMnlLKaIGWosxDBm4F8Pxjhx/5eQD/n0kgYjAYLmeMQFteGAvaQj4OnLKA8Y5nxGvhdwD8ANRkTg/GFq/ib1m8gUJrpRER8kPO9a3rcwPWMbccfyNfVvxN3mT1ABgUJANRwf8MwcwCjLRB+J+CEhj/pN5FyuNb6detLt3rptOfRz9nizeFoAWim5n3QYmybQCeRPvzVZ+sbkdC4SJluqQiacnl7O25nI2xsYEnJyZLi7Z7nkx13RARHMvatG5oaJPr+yfOleaOeVLuQsz7YJM4GIizBc2F9LHWEuIjRDTNzKHJSoioaxY0aN6IIyIZUa6sgedJz7bTdeVLjjzXXbSg1SkC+HcAvvOxw4/884e2P3yxy/0ZDIblyPI3oBmBtswwAm0hawDcBeBANzvhx498i/Zsuw/AFwHc2GaXQwA+D+A1AJ8A8K/S9jF7vvw8WVR/f4NcEUTKagYaXFlYFCvk5G1HeQnG4PMGOe1GuTK9lWas1c8euJj/1N3NJgZdodNVoRCKfh20TlugrJona3lHLLCC0cJ4pMgYtXNnpl+GSvQhLCGqa9YN74jYvScWeUuItpN2z/czn39biE2OsDbZJI55Up7yWH4Qi/+eaUeIwxaJRQkzKOLnm4hosJB7ZbZcDTXtkuieQJOMNb7kvQAgCKNElMq9Oem8xPXkYNr0qQksaClbzMz3AbjzscOPPPDQ9oe/0atODQaDoVcYgba8uAzuCXSc70WXBRoA8ONHDtOebdsB/ASA/xVKHB4B8CcAvsiPH6lbAw7Snm1TAP7vNO1PnSndE7F5bnDl4qmUXbCGoaxX/XB9bXbx0rWg9eV7qAMxaJ2+YcIAXF/yc7ZFUddDKOWy23A9JaK5yM64N9fNhvWjG1evHnqWgqLrQQF2MVYsZhY5wR0Mj4i2OJa1xWZxilUmUA+AQ8rafR2FJ9uIfO9GB4ujUdkcNS1okRZOZmz1fN4KALagvVbaq4yS/U74vkxdTkPGW9B6yUYAX3vs8CO/AeDhh7Y/vKTq6hkMhj5iYtAMhr7zCQC/2IuO+PEjNQC/HyxR/DlSCrQY2k4GiyO5mzbdukqWp2qHUycR0ad59rrUhE5SltK4X3Bs4ViCoixeqWDmQWYuE1FIYg3uyS+YZYlrLEssSitv29aTmk1XEfyGEdE4AeNphhW1UQixrZBzXqrU3Fvabycd62viRCec4eZLlHWwGSk5dfIjX8rIOYPsnQWtDkF5LHz0scOP/NBD2x9O5Q1gMBguQy6TNPsm6YRhuXM9cGpRfFaf+VDK/eOEggSCGtPMPkuuSV/O+Z6ckh5PgLWFRpbjHwXwEQD3AviaZv/9ulGkO5vsxLhfdmzxUiFn3RYkBuk0oWYg5v66THOSQKlodBJ1xP72rR4dGiLC4uA5AERaAs1B4s9chkQulLg+3zAzz6ZpOk6gtSY/6iE7Abzw2OFHvq9P/RsMBkNHMRY0w+XAxwG83u9BAADt2SaQPgbNR/SEcez44Qse1OfVCpbmOJaeF/StfvbASQAnO9Rcf2LQloAFzbZo1hLZChInJDT5TNq6aZ1mLJ+v7Vy/9l0CBIEEESxSgZcCBEGARUTqEbCgngtS553+6vU3qxoKL/a3j4iuXr9y9NnTF6d2oOXzSYIyXztEBDBXAAwk2T1rPwk5hxTJjyRztEDLYJWVUsqpUuX0+am5C6VKrToxW67WPC/q/FJEMpKf+/df/q5rz0/N/dbZR5/odE02g8GwXDAujgbDkuA7Afx2vwcR8AkAN6Q8JslEopuf1X6nq85c20qTpWBB6/YkMtTK5PlyDTNLIuqLJ4VF5Aw5zpUaTejEgSUS17Zl7Vw7NvzkuYmZ+5rXC8ou0AKSCLSzIoMQpBSeMcyYCOYx9ZIObtNzv2nxAHhS8iVmfh3qsyObFgYga76cYubneH47N+2LZ19/zz8/NcsXZ0rWdKkyWKl5q4P6cxvRuWL19wO4b91nPvQjZx99IrpegsFgMCxRjEAzXA7cCZwiYLzfQgMA/mmGY/p9q6dvd5qtB3cRwieUDOAxAP+A+WQoHhZPDusTQT943jyxbN7Ha97XtujbABSgzr/TtI2peXJJCyaa9QWCaBbAUcwLvfnrr+UdbYoLavKOJyLSctOLhRm1sBuJzDzKzN8i6oprZSxxWfaDmlrNAqH5vfQF0UVfWXSa3+ewa6NVLFxyXe8QVMZLBtffO66/Vi/ADIYFj//+5NnpMQ52KZdrs27VezLYqekh6EE1wQs3NDZBTtaq8GWBGytBQc+k3ASZWFWsdsB4hgECQzBY5Ir2ueGNgxuAoFxGy1KZdedK0+57AFuBG6uljoXVcJlkWAxYa9aOzKxYNQAiqlvm40o0nCh57qawjR7L0kg+vyjjbJ0nXzl61Jd8dUwfneC7ATyz7jMf+t6zjz5hClsbDO83LoMALiPQDJcDKwAMAkgVT9El+uo2lpF+C9sCWibQ/hcO9mJMfw7gz9f88v0/AeCP0h7MzHPMeJ0Zt2cdgGOLr9i2eJWI6sKBpOS8lDwkpRxmxiAACEFTxaLzGhFJEJiC96xWcyUpXw61bl6MMQGoVWqusMTJJtHQ2IvBmJouSUH0VKAkKBACylWNzS48rQAAIABJREFUoV43P5/fR1iWuDS+dmxN4EtCUE/aiQYiggVQ/bUFgGzL8gBMB8fW19vvTM/sP1cqXw9gPdRvlI02wqHo2JdcKddnOe+zpcrRI68dTywUmBkXLsw9Wan698XvnaC9Ofc9+Lw5y7G1svcMgLbJSwIu+Z5M1PbkhVJubPVgmu6jpz0xMWhE5Pbw6+Y6AE8HlrQv9apTg8Fg6ARGoBkuF5aKMHocqqj1cqJvAi0QYgmKuXWVTBZMIhoEeFAn1cWKFcVccSDXrrYeAICZJYAZAHkiWlTPqzSDM8wcKlIqpehTO0UUkeUxGkH0ii2sD2Q5FgCkioFbVAz6qpHh+0uu++Ss60WKLzXZz4YQlCrukYiwad3gfafOlfaVKl5Y6v4UDWpYTuOSu1Dy2MhL5+Y2XXVDqmSOkQKNKPq7ROiVJ8jCMIC/XfeZD/1rAI+YuDSD4X1Cv/2SOoARaIbLAR/qTvxS4HDmI5lrUDEgXtNj3cWrHhvScPFqeqyC6DxUvFH9OK+pnXZL8/ZXMo/58kAnI1+cS1gkMkbcBfFho+E7oKYprzNPmIM0/vWaZKnxOTyhhFAWxbj+z/tSvoomF0ZWnoUSAFtC3ETUXohZQqR+34gI42sHdp+9WN47M+dGFgxP0JiX9b4Ix/xuk6DEv+vludpmZp4goqQ10SLbHnCcSAEk9Ap86/CrAG5b95kPPXD20SeWym+FwWAwhGIEmuFy4FVgvF8//K1ckeGYHMqeesxmCdzLjx/5ngzHGfRZXEE8BayZaZ5ANdZTaFUoK0MqZmarz128VBo7eXrmmXvu2HrFQDG3IW0bUoankE8i0M5MTA+fnZ4JtT7euGn9GSg3yXbtZ7K4ExHWrx643xLlJydnatndHQnZiypzdLFoonS/67Wq/3a+YIfGjbUQaUGbrdWctQPhLpNCrzyBLp+Acnn8nrOPPvFGH8dhMBi6Sd3hfpljBNryot+xQkuVr/d7AABAe7YRgF/oQ9f9nPRcDuiEE2tZ0FhqFovWmegrMrmXSskeM66p1rxrvn7gtenrr1l/YOuVa+5OY03zOVKgxR5vCRF33Ye6EZ6bnnkFwD2xnYSwZmXxPgD7Jmdq2dwdSSMDJcf+bluYt5CrBCu0IHmOek7q9exUZTJfSJxpP0YcklxZyO8LghJZZcehhreRJYTWDY0OcAOAZ9d95kM/dPbRJ/6hz2MxGAyGUIxAM1wO/Md+DyDgfwGgH5+SnuV/q6i/6NQz07SgZX/vmPkoS7lWp39kFGhCUPM5G3n97TN3v3fy4tP33LF1ayHvJKrLJ0MEmivllCdl7HmxRLQ15o1T54YBXITSCoIBESQ7saWUdycZYxRrVhZ3A/jGbMm1gPlsjUEcFqHlhlrjDyKCa9E058RMYxM1dqHg9TCUNb2ePGU+wYqgctS4hC1sDDv15CqxXJwqX1q1LrFAi4kxgz2Sc0LPbd62vjkTtrF3jAD4u3Wf+dAvn330id/o92AMBkMXuAxmRUagGZY7+4DxZ/s9iIAf7VO/l8FXUV9ZlKgiBVrJaaLc/BJwpbCsw77nZy5U3lQHKxVEi+OcyhX3rq8+9eqFW27Y9OzmjSt3xrUh0d5V79Ts3EvTNTf2RodFIjLeyZcyNK4qsPS50CySvmZl8cOFnLWvUvVT3ZiZEvQ0W1iU9CUJzDEW85QujhMT5atS7B7dd8wNB9uKfs96CGFpZP01GAyGtlwGlQLeV5iJ+EI8AD/X70E0capP/ZrrQo/MAi2oH5V50skx8URxfeeLueuFJd7M2kat6mb6DRDhmQJXv/TaiZ37nn5jv+v5kRNgDslGKBL6SVoZiji3UNE8HgAwPJTbXSzYT6U6iLTckiNvChDSxde5rr9KSj6ecPfI65VjvotssWQE2l8D+L1+D8JgMHQDUjFo3Vp6hBFoywsTg7aQfwWMZ8+a2HlO9HsAhkxs1Tw+80RfyuwCDQCIaKgwkB8morNZjvc9/zZmfjd1vzFp6qdnK/d8ed8rU2fOT70Yto9URaYXMeQ4w4LotbgxWELofh92rLzD0KBzb84Re5PuT6QlLqMFGqW36lYqbtLvrriiaZGzF8e2lsJv2FEAP3X20SeWwlgMBoOhLUagLS86csf3MuHzAB7r9yDq0J5tY1BZwgzLj3Oax2f+XOpY0ABA+vJgrVI7QYS5LMePDBe/2s5dMY4kWRCZsfG5l9699ZuHju7zfblIDHGIQBsr5G/dODhwKXYM+gItey2yNgwP5W5FUre5mHphMUQnpskg0CYnK0mTzcRY0KKT3tiW9numSw3A/3T20Sem+jwOg8HQTaiLS48wMWjLi1K/B7BE+GMAnwLG+/1j38xvANjS70EYMqEbi5J5oi/jM/JFHy+55rn+rqzHr121Ymzl2NDK46cv7p2eK+9Cwpi6OAtaMxcmZnc/vu+Vtz9429XuyhWDN9TXh9Xz4oS1Byx9V5OOCjQhaEXOEXtrroytkUYJygg0IdGckRHwPde/QIIAFY8mGfDBaj/flzV4kgDIYF19YTBLCPKhjlXrAD57amruyivGDgSZF5mgxqcSnlBTRkYAwKK/79C33ts3M1sBGP7B3NtPScnwmYmZSUomWX/EYqHeY37h7KNPPN/nMRgMBkMsRqAtLyKzd71P+B0Av7iUxBnt2XYFgB/v4xCWzLlYpmSdqDOpdOkzUK5fqeuJsWStJBVEevfzmKW0hChu2bjm/krNPf7msTMnJcsP1sPAmrSSx2rC7wPwmTkqhqoEZZWUACQBkiXLg4fe9q7evPrx8bWj4wwwMU++ePz0jJQsfSlZMrMvpZwoVyYuVaujknFArQVYMktmlsxgBWq+P1Geq+4FeMEngOf/a5ybIFtm8JoJDCqV3VlmnA52pkb81HyiCwrWq+dcX8eNtrh+TzVov+b61VLFP4KYe7BsUQmE9zCfodEKFjt4dBrPVbHyBcJ54lzFRUgRbjADboQHpaB9KFgLkprMzdQwbOePj44Us9RxxInTEytdT94EABci9svnrL2O3TfHnb8B8IV+dW4wGHqIqYNm6DGT/R5AH6kA+Clg/M/6PZA2PIr+fpaMQEsBPbCDMD8JLty+e0t1YDD/DtRXugA1JssCgJicKL0yNVFaQwRJIEkESURyfPPKFULQ1edOXIRb9YanZ919ktmm+txdTenrKqHJIhGMgwiOTWUAocWWk/w5Gsei5no1APja/tcOzpaqHwCwBuqz1iwagMXXd2hediHw6rpVAzvabSuVSje9dazhCHDqrXfPjGcePGGfZVmZy1pUqt4RZmzL3H8bpHJZjX0/yaLjINqs0ZWHsAyUamJSQ6g1tL0b4qGXjh/98L3XZRJo1N8C1Ek4CuAnTdyZwWBYLhiBtqwYnwZOTQEY7fdIeswxAN+3xBKCAABoz7a7ADzQ73EYAHpghw3gBwA8CGAcagLrQE1UbSjRYaNlYnv0yLl9t9y1OTTV+NjKwfvHVobnRiBBLgCMDDmpxQIJei/tMQsbIC1zhC+ViezmGzaOHDx0VKfcwDwh2RnboFWiIC6lewKyF4sOwRJ0daId9W/uVgEUI7ZXEHZ+Q87bydOT10vJUoj011RigcaahdmzYeLODIb3Ez2OFesWRqAtP94DcHO/B9FD/g7AjwHjsUkDeg3t2UYAfrPf44AjhuiTd3wV84Kk7h6VA/DP+U+fO9DP4XUbemBHHsCPAfglAGlqOik076kLouwTfdYTKaRXZBscCLS1q4Y/kM/Zz1drXlvLV6o2k/+u6Ak0zZ9gIvIShru1RRAODBTt2xgog1FhRpXB1bmyvw5AaA02ACB9/5s4t9yo7W0FGDPWv/3O+WeuvWbtnWkHI2KKhjf66M+06V+YuDODwbDcMAJt+fEy3h8CjQH8MoB/C4wvldo5rTwIILOLVcdQCRs+GrL1wwAuS4FGD+wYBPDTAP4FlMUsE74v9Sb6QiTNgNcGjs7IF9u5nkDzpWwolB03bS4eOHRUazgBScek97frZyHWtaAxERUJKM7LDgIRXmOOFmjQjB1EfImAqGsy9Lwd/tYJ+9pr1qYezIqRYqmcIBEkc88zR/8NVMZfg8HwfsLEoBn6wK8A+C9QGQO3ArgBwDao2JGlxpcAfBFqIuYAKEC55QwAWA9gHYANweM6zNfY8QD8IDD+N70ecFJoz7a1ULFnS4EoM8CHsXTG2RHogR0rAPwsVJHyVbrtSZ+1Jo2U0HrQDmZdkUJ6As2fF2hrVg1vK+Sd5ypV9w6dNplDYqMWoyvQNGvIaRWLDkUImvT9WMucrlCJU0NRf1voeatUvdvPnp9+bd2akRvC9mlHueImfS96KdBM3JnBYFi2GIG27Bh/F0BLYdlTBOBaAN8LZVG4pufDas9hYPwvk+9+qghgLQAbGH+7W4PqEP8ngM7E7OgSXVPpHvrkHXn+0+f6nd5aG3pgxzoAnwbwvyFDxsQwpJRaE32hlyAhKo4oFtL8Dm8yoAEA7rh589BTz2l/9NK4LroIS3YRAzNTreod4HpmRRVbJaAyLwrHsWaFoFswn2ZeQLnY+Z4nXynkrAozjgbWrMaxNC8iGPMuea1VcAQRbms3LkHk+nF+s9R161+410FMjODXn3yDf+B7d7AQnb8Fzb0TaCbuzGB4P7P8DWhGoF0ejDOANwD8JnDqMQD/FcB39XdMAFLXlxovY5H4XLKs7vcAmohyAS0AuA3AN3s0lo5DD+y4EsC/BPCTUH9PR5G+XrFoEqTjgkvM7GUpFq2OziZu6ki50L1z1djQDQPF3NOlcu0ujWbTTMIryCjQADiu64fGS/le5NtyPxE9KQSSJfVIAVHk51Hto2n5RLxAi7KwRV5rnidvPPTS8Sfv2L75vqSDsZIWDWc9a3UKHjJxZwaDYTnTt4Ikhm4x7gE40+9RBOgWAF7K/GG/B9CAYgXC9p6Mo8PQAzuupwd2/DGAt6Di/TouzgBASta6UaUp0AAlUrKiJdB8uTj+buctV66GXuqUlcyc1GKrUyxa9wZjV1zfEtmdNGMHEe/imFmgAcCrb5y5tVSqnU86GGElK7ydIoFMKph52pd82PXk3qrrf73q+v+uG/0YDIZlguji0iOMBc3QTWb6PYBuwY8f+Ufas+2XAdwO9Xe2LrPB4xxUQH99qbS8/mEAv6s1mPhYmo5bCboJPbBjO1SCmP8RPXBUkD5rCT9BySanEVQQUVcsBq1MiFIutmisGBm4Zmggf3C2VN2VsdkBBsoJ37jLTqBxsvT/egKN4cX0EmVhS3LeRr6697UDn/jYLYlim5Nb0PTnHMw8ISW/4zNmWHKegY0ArkBwI0oyX/B9/jCAr+j2ZTAYDP3CCDRDN9GxDCx5+PEj/0a3DdqzTT+OLToGDVgmhazpgR13A/gMgI/3sl9m1kt1L7QFmk58oJ5AC3E523nLlRu+8c036nFbqaHklj2NDJh61sNuwclqfen+9sbdlIkSaInO29RM5e5j7108tGXzqtvj9rWsRJeJywAz8zTU+H0AHtefMzwAPquxVwMrrMcMn5mZGQUGNkEJsjEAYOaSL/lN3+ejvuQ8M64Itv8SjEAzGN6fEEwWR8OSZalcmdf3ewDLgPQ5rVuJv2O/ZF2Z6YEdBOA7oCxm9/djDMysNdEnof1x07EiaWVC5DYWNAAYGS5uGRku7J+eqdyTsemkFiIdgZZZnAb1z5hUDbu6WGCoeE5us9TdWBuvg9//Rfsyw2XmdzF/Y0Q2PQb78ASAVzGfwIRbHpvH0TomgPkSJD/Z1MfCmwSuPw2JeoIMauzCIAhU4IhTaEp4gqYkKE7ROp8bcNYDEC++dsJ65a3TLzOzFdQwE8xsQd0WshhsjY0WXysWrA+Mrxs8T4ANIosACwQrSGJjEREBcGquP3BhopLpphQze1LiLV/KJ32fSTLWQ3kH3Npm94/aP7Nru/f5g4ez9GUwGJY5S2UWrIERaJcnhwB8JzRqQ3WIu/vc/3JAX6DFfxUt5c/5LgD/rZ8DYN1i0aR9qy6TSGGlMiwiKoMgCfBBFDxCEkiCIInIBaCCzYgkEXmkrK6czzmhbsg7b9my5Wv7XzsiJc9gsVBBfR3Xn89LBD5zvuSDyGJmMAfqgUGsRAIYIGbQ8IA9S0RnoJKlEKuJf/DIxAzRJAxEUEdLMEMw88zwoFODEhhWy6Pd8mg1LQIAFfK2yOUsGx38fDDzXGWydpvvc3QdNMCCJbJn2/XlfjDCxbPPz4Kxs+02ibNQZU3aQkT7haDbAfW+uV60sa5W894t5sW4ncCKljYZjmQ+73nydc/jAgM3QZWVSVoC4CEAP5qmP4PBYFgqLOWJmyEz418ATv0egBsBfDuUheJDUPXHesku4JRYwoWmlwKdEGhx9PVzTv/kZgFl7bChLD55qIQfORqy14iC/RYIAHN9Mt44dMFzXrSupSP4gUVEBpn0fBD5wfNgHanHQKAQEROhdvL4xBsNMaHcqaBec6BAGtuo/lgXHI5Fk4MF+yAWWySaH5utFHWhQACsc+dmzrmuLHA9RTzDCc6FOi6wVNTbaRKUBGBo191bM1tIBdFc2LahgfxGIaxj5UottRXN8+UUgNG4/aQvXyaim9O2H3ARGnXwGIlcEVNx9tTct3yfk2TA1HXPjHOrjfrOjbwhkbaYNDMn/n5P4voqJb/revKY5/NqAB9A9hqf/8z+mV2/4n3+4ImMxxsMhuWKcXE0LF3GGcCRYPld4FQeylrxHQD2QCW36DZjUG6Or/agr+XKhh70sZE+ece9mBdHuabHsOf5lvXFlm0WpmpT8HlTy7GtbTmIcHcTLh8d3lToaxITBmrnz81ktqK5ttg/VHSyJtSA9Hna9eTmjIcLZvaJsqVtD9zVQsnZFocquGiSxtXFpYuPQsvymcA1OBVzM7V9k5cquxPurjf2aAEWvT2ukHjKVPhElHh/ovZ/NzNPej6/7vmyKiV2A7gyzRhCsKEK2v9SB9oyGAyGnmIE2vuG8SqAJ4LlV4BTa6FifnYCuAXANqhMWJ1GqxDvcof2bHOgClq3W0bRmYlIHN8XLJ2F8BqSuxu1haVego5OQEAuSFSQLbOeZm0nis/CGUcFwGDGYyP/ZmGJrNbvpG6bOn+7XvxdB2MzpeRjJ96dDq3J1obuJjghyAgbW5wFLeXngOOseQ2IKK+O4CklyLgiJa8HcB0Andp7YfzP9s/s+nXv8wcv24zCBoOhDcvfgGYE2vuX8XMA/ipYAk4VAVwFYDNUJqx1UC5Eo8GyFsrdZC2SuxZd7NSIlwu0Z9t3APiPAIbRpdpdfYe5DI+1LV/MrDXJ7iAlqPcrNayZOjxwy9ShhuwCLXLsCbPztSNp4hMdgZZjZmQOAUzpyhfFqeMzk8zYkuIQ3es+RhQRR+wSKQ6lJ0Vt1n06yKTCzJCNrCoMFraoCYscBHGHU9O1yszp0l4EbsE0aFd9RkGVG2BiBgVHCwCuL2gdlCBLI2izMgrgJ6BbysRgMBh6jBFohibGy5h3i4zhlANgNZRYG4RyVXKblvrrk90Z65Lm55A9biI9HXbVSsh5KCGvh9SeqHaK7AJNs6YVCdK1oGVO088xk3U7YQHiNvTCggao75lMv2NBXJ82nisPzU7X0rqM6133BJ3iGQRmDyEJO2RNOtWSF/73SN4L5YbYHubDELQ9ZKtrFaxel0f4eftndn3B+/xB3RshBoNhWUAmBs3wfmbcBXA6WAwBtGfbjQA+1tte9VzsMtKRhDPMvFRcYLOLHM00/YJi44li+kdN47co0sJrWdk0DKmaV7Ew9DJ1MFClrAKtQxa02ZnabIbDui1S4q6pKsLOG8XecIh7y6JEt8PMXtpsjllhlVvUBfBdAP62F30aDAZDJ1iy9ZEMhmXKp9Fr72epnXAgC0MdaYXhBOni+41OUXW9OmqkV+iamXXqqEUKbY0Sb0mtFXoZXlmrhlxHLGgUXyi+PaoQc+ZuNbYC0S6o0eKJtAQaAJRjtmeGGRPMeI4Ze5nxAoA5ANcC+BXrwV3L/5a6wWCIh7q89AhjQTMYOstHet6jLzO55mlBVICaXHfiJk8ZvS8B0YqGBU3PXS3zBH+erhV7zhzfRfAS/VWs56DLGn87M3fk96844GSNM60iu6tj3FmLO/tR5y3uhk/0Z54TWe+0v7NY9fMWgLPBmDZBJV26o83ud0KVnPmybr8Gg8HQC4wFzWDoLBd63qOqF9R7CFlcu9qhY0noFF0TOXF0wILWtVT1QmR2nkwaW6YnTvWshx2xoDk5cT2y/R06Y9e1oIVf7xRrEY5pnaPf+/ZWz5MAXok8jFFixgtN1rEyVLKR+wDcg/iMuI9ZD+4yN6UNhvcBRN1beoX5sjIYOstvAPjPPe2RMRIV9N81CCUwRjrQko57YafQEWhamTo13AgBAFLqCbSoTIh29iyOusk/EsEaLo4cVw8sIUS0ojhgv14uedenPFTjmiMRrQmJYjRju/PmAvDB7IF5EspN1QfggeEDQfF35jmAXg1eS6gyES5UhxISkxB8IHjdvAAA24IqJOhNkBqk44jVtqAPMDA8U/IuQCWfasCMYwDeBXA3gNui/qgYPgDgpwH8nkYbBoPB0BOMQDMYOsuXALwN4Joe91sCOiKWkkNU0jWAAAAY1SVQs0RHUGglOqHMfoQKTQsaoARyW5FpiczyMVFsWcjV46MuDBY+l6iLBLVIKfkEM8umbVzf1vS6/sgMSJUcHhLAXLXqnW0aS/Nw6s+paQ3zfM0vbtrG+YLtpxZojJfA/GbTmuYIBw9lNweAAidQgvJ4Uc+ZpyDxYlAqoHmbAGAhT3NYXTgGQARJPyz1SMFrXgWiMtQcwA6uQQeAw5JXYLY8GjpugQsYyd0Y+bdFvPuDA/abRHRt63oCRvKO2F915eogucdLAGahrGNbIvtLziPWg7v+3P/CwYkOtWcwGJYgmj+rkfQqaN4INIOhg/DjR3zas+3/APDFHnet4y6VjZw4hbKvXQsN/Rh7CwRIjS/dopSy7qroQwkBP7A6NL1mGRTEZjB8DkQEA+VC0XmbiCQBkgiSiCSCRyLiYB0TIKFes9oG1GreRdu29iPQGMHkFgh+R2zL8poz87X+bJVdl0kIAWaCKqCF4JEshyZXDDsHlbEDBFJCgBaLAuG5/tSlMyWwz2ugaigerW8DApHQ+jov5MDqYgXqt8iC0qv1fWNdRyVjS7WWLc8IKbe6jZkObsEpiAMZDtuKsBs5zNOQETdcJJ4F49bQ7SROkiO2hHcdOXmJPu+62S8Zblj3OZtGJItv+L70fIn7ifCCZdE+z+N70ZmQjFUAfhXAz3egLYPBYOgaRqAZDJ3nLwH87wC29bDPbsZx+QBqINRQr3NHcOGIOVT842CMITyrI0NZP2qNdgAfNO8+5XvyjOWIhnWE69YSbgiYeSuIMmEwAksGB8Vy6x2B5wUGAGIlOoR6roQBByKh/hpgkc9ZNSHobcyLCAtN4gMLhcWixzMXyjUoS1r9OzWx+9zadcMnrr1ydWaLq5TywNxc5e6w7aOjg98SRDeFbS/7PuC3NyBajvimbYkPJhlHLm9jxZriyxNnStcl2R8AwLBJJZzpOawZO9iM7YhNGQ6LcnGMSx4SHT+nkxiVYs+LDRUD1mylZChL7AYwSzCfR/1Gc/P/AObm3FnhiPPNIxREc44jtgN0c84hsE0Vz+eXa66Unsfb0Nl4+QetB3f9vv+Fg691sE2DwbCEuAzKoBmBZjB0Gn78iKQ92/4fAH/Us06r/lsQdNQq2i5ZZBFR4wuKiAgEIiJBBEEEASKLCBYR2cxcrUoeQeDiBPW9kIPKrJgPLBpFtLjy+XPuSVmTVwAAmMtQbpZWcLxqi0g0tduWuTlvmvLWDZ08HRmYhZ5bahkZXR19X6+OHYEkRzldMPysLqSWJVL9RhBRqriuTtUiy0jHapER0WYhaEJKHktxWESiDooWaAQr0s9Gr3i9hYUunO223xKy7SQkHwHj28Mad115iIhaCmGzJyx6zwo8aomo4PtylhlXQH02O5kIyQbwGICPd7BNg8Fg6ChGoBkM3eGvAXwOvUofP1m7HwAGbxj4ppW3Elk8mqmVvdQp8xcUmyVaJOASwzFZ33pDJ+K4MiGl1P0ejvHxYy9r8Za0Ak2ItAKtL0XW63S0fmBhwH6zNOvemeKQuOveQ/hvdPT7oiF8SdV9qCIs+Q1H9r0RKvV9FO3+brtc8WcGi1YjdqSQt+4HANeTz1VrckvcuFPyMevBXR/zv3DwHzvcrsFg6DMEIHsC4nh6NWExAs1g6AL8+JFp2rPtSwB+sKf9yvRiJygUnX5CRx36/pDa4kgb1v/OzRxHJ33uSLr3MHT+NiFSZgaNT9G+kP5a0LTq17VSHLQrpdlUiRnjrvsKwl2HYwQai+Bz3ZyJUTZeM/sABTGS7AfbVHIVhoRFJSgLowTVXRmJQWCAZxDtvh1XJy3serzV9fhAzqEF7rqWoA1Qn6+OCmqotPtf9b9wUCeDq8FgMHQFI9AMhu7xZ+ixQIPkLBkTfGT5Lkg7eQ9jKVjQ4ovrxpFdoEnWdbWLDjjS+NuEEKnGltrFsUO1yDJiMbMk5YarjZO31qU6IC8mARwCLYh1VM+JBHxZhiro3BoDaUFQhYadC5hPvtK8CK76AtNuIzPjor4Z3wQQbmkvWBdAFOZW+E7MX5a5iHbNldc5NpWIqOF5UK76p9ChZC4t3ADghwH8SRfaNhgM/aLH9cq6hRFoBkP3eBzAewA296pD9jMJNBtKpKWbLKe1loTADL/f36UMllndAAMyJ2nxpdQ7j4QYiZbpmsDEpdkX3n3nXJqYKhCltEpxXwUaoKxUHXFDJsJ1tiPe81yZ7PNu01Yi2hK2mYnOAFjfvjO4FC6gACIrJk1I3DURdcMh+nolEpFJSqJvGKyWEm9ZFrbON4dK0pwnRHjVtui8lFwgogoF0Xis8qT1AAAgAElEQVSNrKMEQUFpASiL3J0wAs1gMCxBjEAzGLoEP37EpT3bPgfg3/aszwzJ4oOYjzmkrKNGRJ1xOWKdlHOdoQMjyOwmJSV32nVrAZzRgiYle8zp6k+RiElu0Qpzv3+DOubeRkS0esNA5ezx2QpzouLlcX2Hi6S4ItsU6zqqI9DirtdI0c3MMuZWiBfsV6vU5EEpsSamvwu2Ra9YAhuJ6EYAN1rJy/eNDX76ngfnfnt/37+DDAZD5+j3Td9O0E//f4Ph/cCfIGHR3k7APmf9XiqlPiKttSSMyBSEPUP3+zxzHJ30Wfc8Ro6dM15/lpXOvREAKD5F+wK4/zcJO1qDTwi6bvWGgecT7h53zURtj3tv4iyTcddEVN96JQDi7L3gunDNWYJsIpTb7ScIh/MOPZN3aMy26H4i2tpuvxg2Argqw3EGg8HQVYxAMxi6CD9+5AKAI73qT3oy62c6fRbCuFTgSem/AQ2sl5Yc0EjEIaXUPY8xSRmynd+R0eKNW6/bkPbaTZskpKvWwwR0vEi6k7PuGRnLP5lg1ziBFm5hiztvQru2XNTYtCxosTdkWPVNRMg54p5CzhoGMN20R00IHHJsWklEdwZlQHTYrXm8wWBYYqhSQ91ZekW/714aDO8H3gAQWii4k3D2jIDpY6goY1r9Vvqvz8CsnUlRQ6BpW9AiBRpnPMNCiHyh6KRKfBH8eFWRPENix2qRLSWGRnP35QrWUxfOlHaCQ84Fw4u5LeA19lTXV33xwFxmyW6QEVECXC/s7gOQ7PMcgDexIAtjU2FpgSlIPI/5QtPNBacZjOkFxaabR63KwTePnBY8EmacAbsEgBr/VNZrAkh4rpyWVf9wkMGzKTkKA4DlC3sCwDHMJz0ZzTtUA3AJQI6IhgC01FHT4n6YODSDwbDEMALNYOg+fwXgn/aiI/Yz19RKb0nonEDru7t4B7IJZnZjZWZda0dXLGjAfFZGApiIfCHIE0Q+EflCvW48EogvTs95EJgDKId5YdEsEupiQKqU7Zir1PzTUKKAm8QkB2niGQhEZrClsQ8D+Zyo5HOi+fy1Cod6hsTWdWAGnTs15zLjVPP64HpcKDqU2KgNjOUL8/vytOvyipZ2m/sczw07h2sz7jXgNoWWy/4WBs6hLlJUfbFGpsbR9cWaEKrCPOYTW9RPzsjEsdlFTTb+SJuouK54Zdj26nRtyq/JHaENePIwGNtDt0N6oPZZXIVNrzmDdmjheV/yHGoytG0iugQsjH3s8l1rY0EzGC4zTBZHg8GQhL+EuuP7L7vdUVYLGgG1tNP4ID15VDHdZPSvWHG9LpQbWB8mMF83SjY9SqL55wAkgeoCQwKQjm1NMfAcEVhljiOpnhMTgYkIILAgYhBBEBhECPYBlCxo/U1pJzbqs9XGsqY4cGn3liufUc1RYKmAICJBAAmiVSB6lQCLmlK2B++flbfEqznLupkWp2u3AdCJq67idiKhHY/9p337UXTuSfEeXChV/PBshDE4Du0jokwTbCLA9/hdAKFCpoUymoqxM+M0gA2RfQi6OjfiXHJnvVfZ5xsXbGREZsgkhLvTBOvDa4NFF5NOonji3C/rJQAWdx3jfhlcnxFoZ1RNy9WDn75n09xv7z/Ry04NBkN3IBiBZjAYEsCPH2EAv0h7tj0O4A/Rcne4o32FZwRkqJiW+lILHj0ANSIcDzLPuU3rm/drPba+fQ4AOUX7trozU+N7kRr/NV7TfFJ4YoAJIKdgT669YmQfITieAjlDgYRRwoWIINAkQIKU2UpwKDHSsD4QLRAZFgAxM1m2QXBIudVZgUDJBcs1IyuHUqWUb2b1qpHpwYH8HVmPnyyV5wAMZjl2MJ87PJTPRVg7orGFeFsQtXVlZOYcpTBf/PC3337Fb/3F3jQlG7Ri0Fiz0DUR5lIYGFtdFRO5ZxLRSmfIrtWm3JTvMfsxQqWC8PMXObZYkUTwYhxjKwgRaBFjmm89gqxZRzXZDeCLfejXYDAY2mIEmsHQI/jxI1+jPdvuAPAwAmGE9qKn/twPnreKpNbjGoKKffYwL8ZK9e2XfnNfV4tBr/ql3TMAhrIca1n09OCAc1eHh7QIISgqNmqVTtsdqBRQQUaB5snMbq11QgcfiDMXCcXIurGhzZvWjD514vzUvQn71nLvbBVozHx0bsY9G6yn4qDt27bYFdoAwU0RoSeY2W9KSpFYXBLRenvA3uuVvPuTHsMcG9cYGjfKHB3XSCK2OHecSAqPWY3rOz6pR08EWuBCOwugDMYOGIFmMFw29DKZR7cwAs1g6CH8+JGLAH6u3+PoAmVkFGgc547VKQjl0IQNgNUy+U6FlHGlnWLJXOjalb6uFSoSAiqcIpnHj3z7bVf/my8+Ee5+t5AcmOP9UZinAVwA0dULVmPePVZKPnLpfHkDSzT2cRyx17bDtQiBvJRVHqqYL2ydKrmLcGi3XbT2eWV/J5AoflNDJOnWSSM/JrdMaMwqh3/GWvuuQX1v1G8w+QA86cs5yxZHEMQsMrOP1kQmDF9lXmUGQzLDY8nMkoklbDBbrCzqMwBWMZBjRh7MeWYMgDEA9f4NB8uHo8+HwWAw9BYj0AwGQydoW6soIT35HiKiEnMjqcNiGGVQVpGpHUeXOd276+ul6WdE184joiozh7mzLWLV6OD4VRtW7nvn9KWksWHRYo75JOa8CiRvQcHaB0fcDuAkiK4HK1dK6fOhS+fL1zMvtEJyXDATpbbWVDAv0FIJYyIiK2/tFjlRAeMl35Vn/Yp/R1gsWqyrH6EWpqFI0ETTONuMJfYzF6dao4poR1tFCVYg0eruxQuQPo4R0bb6a8/n/QAWxDWy5OelK+f8sh93jVUhIBAku4ngipjtBoNhuUAmBs1gMBjqZBZozNyTVOtEmIuadTK4SqBMAk3K/gk0T7OOWpyIoQxj++Fv237jr/+Hry9IqhGKz/sBthbWx5pP2Yiq/wEwNgIAKv5uVPwSgOuREwd9YVerFX/v9ET1brSx8lXL3ppKyXsDyj3RgsqWKALriiWVS3ByGMdBWAnU3T85TbwdguMKINxi5a2nRE5MuVOug3bW53i/2dA6aSIvTgPBOWs/iJgkIrECLbxGG5BjZg6LXaR4sdQyFMjWwZCgHWRRklpzeTCeAiHO5XY1/fjOIv/xszo3mgwGgwEAQESfBvBTUL9iLwP4caikUn8BYCWAQwAeYObQ31cj0AwGQyfQEGi9KVZMROVIwwBndzPsQB21qAlvJJ6Uemn6OVpgUISlJozRoeKa669Ys/f14+fjY67K3i3gVDGAyjJUk7vcWu0FN+ffFrajW5M3hm0LOJqiX0jJs5ZYoDsyxw5CabwtzrBz0J1xd+WL1jOFIUciSEImLLoq+mDUQiWcjP5tT2BBiyPueq0gRJwTRX/emVssutS+tDVLTmb9ZNwE5gsgissWuhHAW4naNBgMS5jeFpRe1DvRRgCfArCNmctE9J8A/CCAjwP4bWb+CyL6fQA/CeD/DWvHCDSDwdAJfgHACNonNIlct27d0GYAr3Z7gEQUaQmKupMVh5R6Ao0AN2uaEU9KrXp0cTXgCORlqXX9gx/dfuu//pOvTENdF1FkFqfQL3SdysWRiFrFRQ0aAg0AyKJd9qC9z8lbbNkicRKRqDgxZo5Ls6+VaRHxhdmrCLOeUvR7JqyFXQtB632fpwCMLmgm+QRsBSQOQfCqmIOugBFoBoOhM9gAikTkQt1UPA3gIwB+KNj+pwB+DUagGQyGbnLxN/Z9Peuxt3z2u8Mr7nYQoujaTqzhZhg7IY4jPq15KH5M1rw4GNFjjztvYQwVcys+fNs1T33jhbfvRnQx7cznHfq/YekEmkBrDGNFo+/GORGO2F2T8gw82mcRQQisJ6LrogcT8b7EJN4hik1wolsnLdQaTYgUh8dzBXtBvJkgus4Hn0KLQEvJ7WAcAOHuiH1MHJrBcJnQzxg0Zj5JRL8F4D0o76IvA3gewCRzw63+BKLc0GEEmsFg6D+9ifsgir7rz5zZkiOlnkAjkJ8ym+ACAjeKTJY0jsn4J0CZXT8//sEb7j381qmnJ2bK4WUUNMQp9C1o6WB4LdJFx/rXWpd8fc2V6+uvijlrn2WFF+Emgh922mLjOmOsWIgtJh0tbJm5CmXe85oWCcCTzHMgnATgBXeXG4XhycK7AC5IZlUUXiVKkdKX0wCOBs6ODIClJ8sA9mG+/iEHbdVPCwFYF/R9HoSbYv4mI9AMBkMSVhPRc02v/4CZ/6D+gojGAHwPgKsATAL4KwAfa9NO5C+fEWgGg6Hf9ESgUcyXIXM2SxEASA4tEJ4U3Tp1oTE/CYgWaDGuoXF85Pat9Dd7X47Yg9wsLpQBcb9hVcwXK2+lnrpdNj2vT/Jly3YJgH3J0wI4F7wGM58nlXBjPgV8IDZ4/o9q3VZfH2l9K9f8W/MO7Wdu3AvmpqIIbA07s8LjfYGU4gU14QV5vs8nmpqj5kf24WKi+k5wlCr8rtLWq8LveWsaA/Zh1AvBo1H4Xb22aA6CTgTn1m7abgNwKlVZIUEEdW21Xl+OU3Taur0y80y5ujCmkH1+CTV5PVRg/UKsjt4mH+9kYwaDoT+oL7SucoGZ74jY/m0A3mHm8wBARP8ZwN0AVhCRHVjRNgE4FdWJEWgGg6Hf6LiJdQzWsKCxpkAjgtSwIoGBMqlMgH7T4jU9l02PkhY+vyhA3wIgg7TzTE2iomhb5yyib5LK7McEMBExMC96icCB0UVleCBlhCEA37n9Gt734ltfKbtuDnXPE5Xij4hA+ZV5aQm6GOxORCCAxPxzVXQaBEH1BMoECwAx88z5iaqLeSHRLCZsChJDMHMp+HvsYL0FgNyqT9JvZOBsJ+IOAmgUuq7MeQuSmTh5a5qs0In9oriplIxWXbYBvpHaxPGJvJWyEtsC5uBxeOwc42kQbY84/gSINkUcH3WzI2rUO6ESt8zXuxO4HkoULxZonSUuVtJgMBiS8B6ADxLRANQN6I8CeA7ANwB8P1Qmx08C+NuoRoxAMxgMfeWlT/29vOWz3z0DVTAWmLdiNNyimtYtEBr150T119QoaktNggOgejuhFB3n3ECx8BQpccFExESAIMKC50GGKCEIFOQSdyyreuXo6HEKEACJ+nO1jwheC0EkSG23KHh+Ynpmpuz7bwWvhWoCVutzENkUCBFSzy0A1pUjwzVLpS9P7fInQCeHc/lQX/gzc7NP1aT/wbTt1hlwbPzC996z7/e+cjBpXbTEMOMMEa2P2y/4ocxCTIwaexHhWnrZNRV3ATjHwEkC4jJSJicmkyLiYirj/XEzCTQisi2BSb8psT4R5dmhU3C52y6IRqAZDJcJ/cziyMxPE9FfQ6XS9wC8AOAPAPwDgL8gol8P1v1RVDtGoBkMhr6z5cp1ddEV6JmG61THOPrW6X21avi88cq1q1ZuvWJdViEiBfDKlpHhm7McPF1zz5Hrbs3Yt8pAmfEHicGRrpGUvpjzIq5eu/KDKweLpy/NlTfottVCJ0RQFDpusZ2Kj1sLYCgQaZFB5YlRMWgSYZ5AMaUXYuFI4QpmrhJRW6FGRLcT8dPMuCvYF3AjrH2dwwg0g8HQEZj5VwH8asvqowDuTNpGl900DQaDIR4iKgfGpu71IShysu35vo4QEVIjhkVo/t06JQI4JnaNEH3ekkBEuU/u3vG2bjtt0MtgyREqQhF3TYQKtMDS2an4ygGkrNkWRfA5Cx9bTBZI6Gd5jHRrFkTXE+EZIBhrTtRjNH0od8duMBy/i8FgWA4oH/ruLL3CCDSDwbAU6HqiECGiv1k9X+paijJbc3QFmq8RP4cYgaY7tjobV47uWr9i+FhHGptHS6DVQ+aidojZHpfcRSvBSgt3MnC+g+2Fi6T4mMro88aJ6qSFN060QhDdBuBdACCLboVDz6MgZmBRt2omGguawWBYMhiBZjAYlgLdF2gxQkPTggZoCDRLxZklJm9ZTw06zv5Bxzkw6DgHoSkEmDn0/HfqjiERWZ+8b8fpzrTWaFMgYwZMZr7AEplcUufbiO27kwlw8gDe5Bhxk4LwdjzeiouVaUzXXmy7nWPnDloCLaBEkl9pvLJoO3x+Gz7rJF6Jwgg0g+FyoIvWs15a0EwMmsFgWAp0XaBRjELz/NCyUokoWtZ+Zt6dxU2zYNtyKJd7HvMZgoOMhY3MhA7U93U9S+HtzYkvfOaDOmOHOv9tLWnUwZ+ktaNDuzavWvHmexcnr21ez8w1BmqB5aWepl4CkEFNLR8MyfOJYZi5kYWywmjEVAHAjoTDGSXCM8y4J37XUOJEfafEVJ27AdQYeAmqvo4AsJWA2EQpiyDUIuyDAowRSA5LrhI3d4j7LIXeUGDml/2SV2CftwL4OGz6MhiDYHwAyd/bLBiBZjAYlgxGoBkMhqVAD1wco2/66xrQqr4/xkCJVLxQKgSRI4gyTz6Dwr46hJ5/kdK6F8eP3Hf7pf/rv359wbrpOe9pz+f7srRn2WICwBgAMLOfVGcTkWM5IufVIk9djCtf7HnvpItjnRyAW5r7YFWw+VZKl9Y/bmw1hAut6GsiPstjVN+j7PPmxiuPbwBhA1SW0m5SpB/f6fAfP6vjLmwwGPpMvV7LcscINIPBsBToRQxa5KTS0xRoErhZMl8QGVK6C9JzN/f1BVqopYfiE0KkYtXQwF1b1oy9fuz8xPVNq3Wsl80TagsqTqtRMBrz9eAWFJ1u2kcHHSHSKXIAdgO4yMALBNwWdwCAaAsaYRqrCiMArgvZQ9eCFiWCVrS83gzGXhDuj2kzHsJ5EnSCBFVBqBERq6oZZIOQB+EBAP9eux+DwWDQxAg0g8GwFOiFBS1SBLmery1EssYHCSKt72KfWTfTYui4hSrq3FF+5N7bpn/9v8xb0YIi2FlpTPaJCLZNa5Ie6HvyqzG7RF4zrCdEOs0qADYDk7RY5CyGyAsdPscmX4mpkxb7dkZleWznansHmM8gQc27BoQLJOgEWTRNFgkStJaIrgMQdX38Ue5n774CwCO1zx3Qzl5qMBj6w2VgQDMCzWAwLAk6mUyhLZYlIoWG5/narnwyYzZFgqZAk3oCjYFa2O8ZaYrHdowNDuzcum7VkbfOXtwGaJvo4lK6hxPfcVy2Qp2Czd1gFCo+LYFAgwtl4fMTLK0F4i9B4EX1nBpxgaC6ZZInWfJTUGeo+RwxAPg+TwGYaYwEqIs6YoDgSTcQifU4TILApDWSO0lEFghW0za7abGCxxVEtBrA6hTnrs6vAbgq97N3/3Ttcwd6YQE1GAyGRRiBZjAYlgJz3e5AiGhLkC+ltqWIOZtLmyC972Jf28MxXEiILsX+PHDfDvdX//rLAICBon2dP+ft9yU3EnYwc6s4aCcaJBHOEhE3XgOSiHwhlFggQCLYrp6DKXBxFLBKcx4/TfMujxz4dCq1QHQJwFOYNzVx051ZBvOEX/P3Bq8WQqhJS4BUfFjzLvUWiJmrYBRQFyZNgoSACQJWM7ieKCYYnRInti3ODBTtTcFrEdRdEzOT1fO+K88G69XCDSFTXyewqrAz2TvVBsJRONbVodslP4mqvDdsM1s4CKJdET2cBrCwqLkE4MpnqGB3M1FInU8C2Jj72bu/v/a5A1M96M9gMHQQE4NmMBgMnaH7Lo6WiPy+0xVoRdva6wi6pd02Vi6IXtPSHBvlC2BuJJc7FogLKYJHAlgQ+UTE9XWCiIP1koLnA7YzJZkPINAAQX/1pTGMsLGfmpud9iTPMTNJdTxJZiUamGdG8k6Z5gVEc3bJBaKiaX27xWp+XDlQuOJzP/qJycNHTx/6tf/wtbuYcUdwPurvg9X0PJSV6wemhaAtzescm54s5KzYpCOyaB8bGHC2ROzyDAF3hm2slNy9k2fL7WOjLDoqhnNXR5nYmHEUQFuhw8yXmLEy/FiWlqBrW9cPDDqTMxPVMajYtG4R17ZuGv62Nzr8OW8j5a0KEWUuaZGCbwPwZO5n7/6u2ucOHO9BfwaDwdDACDSDwdB3BNG0ppdefB9CRFqCBCBuXrXym0REAiQEkRAqgYAQKkm/sIgEgYQgWERkif/O3psHS3ae533P832nt7vPvmIwAAfbEBtBgiRAYChZlB2oZLFiLZUKk5ITuyzHErUUqhRHVklVdjl2VIEdmaIqUTmJkypEkaKkoiQyrFRc5gwGIEGQ2EgMFgKDwWCA2efufbv7nPO9+eOcvrdv3z5L9+m+92Lw/shGL2f7epl7vue87/u8pCFgDWkvLi/75xYWlwLnKHHKlaxFLYjICr7nGCZLpdZXbrnl6KDvLXDh6flW89FBt79Sr3/7Un2lZ0Rj3PPenqnOJJlFFKZWLpVEMF5gF72ifzmtHHt/Hx2kniOZdplWcp1fk1NiyZ1ptVwivUVSqWLvndpZ+dHCjSYBHMsxhkEoKtDSvx/CT1jjULjon/SmysUNQ/JxH4DvxCLtlU06pqIoBbkJAmgq0BRF2XoOTE45EbkUOPfust+y9VbrfhnArj4NazJS9QSl26enPzfo/o/NzBxc9oMXP1xevqXfbQORghGBYlb4hkzMkQxFRhmJwe37dxwk8/hKJCAbBZpk14YBAIhMM4zU3wyZUqOW73PLqllsIKEBuqQYeXhle8eOfbXW4mzzVNByj2PITpyZJiLMiHxKnKyZvINWkoYT331ORFokR/q77OAgokjaz7W+8fxfbtIxFUX5hKMCTVGU7UCD5P6StftnbA3TlWojdO47i62mrfv+ZzCEv1U0JnVCFzpXuNbKM2agYrDQuUICragVvolqtHrSDENvvtn8UfxUAIQgBRLVRslaeqONn1tLzu6tje0G4HFt2YYbSf7RX3z3mgg+NejYBRIUePuF3AqZ3iMuj4DIMhFJFGhAugAkWZ7aWT0RBu5Cox6850JxIkIIEARuLwR35xhfElm/16zU1KwIWpbL41B78+VgAsBflL/+6C+1vvH8f7/Jx1YUpU9uggCaCjRFUbYF61wcSVY9a7+4ozaGmarcaIXhDxebjd3NMDw+6AGMSb/iHooU/ntoDbNqa5KOXbSmpmgELXHCLIAXiKyvdcoOd1VM5KKXyc8/dp/8P999K8+qvZGNvcz6iMZlfe4ZAi3lc09IQewij0DrvXvJHDsAwHrm8PhU+XD36/XF1unGcpBo5JFBMRv+bNI+F4NU4ToyLIB/Wf76o0cB/I7a8CvK9oRUkxBFUZRhkTgRJbmz4nknKt4ERORCIwjeXWg2jgbO3drPAYxh6qTSOSkUQfOde30lCAaaNBYWaFkpZRmY9D5kfX8u0kdaZKVkLYAriBwWI6dFIADY+bztvugQm6dEy+ho2CNNUPKenUuI9p8ktNLfe3oELUvEAAOaZQCASM9+YbmpTZQea64E3xeHwVwRRVpITjPM+s2kfz/pETRA0AA3XaC1+W0At5a//ujfVht+RVFGhQo0RVG2A7n6oJE8XCuVDtdKJTiRN+p+6+pis3nciWRGa4wxqRM6V7DW6uLy8vWLy/UTg24vIiskB5p0E8WaSRskR9AwgBug9G423JNqpeR98cdv39vvMdqcP3f9dKu5fj4vOSOK8VXWBpLrHbNq0NI+9zzCNkugpTU+zyMAEyGJ6V3VI3NXG+8CA6WYNpD82ygm0LI+Fxl938QM/mMAh8tff/RvtL7x/NwWj0VRlC5uggDapudxK4qi9KJvm31D3jNRrpzYPzG5Y9/E5ItjpfJ3kdbPy6Rbc0tGTU8Wt0xMHL9tavLbBXaRNhnPotDFtox0kEE+l9xRN2uKNcI2poe4lL7ObWlRkPT3nhG5lEbwrIgspKySVbOYaiIiIoWEirFmz8ye6jSAjwbYfPDPLev7YcbnIrIdIlc/DuC58tcf7SuSryiKkgcVaIqibAcGnmiStJ4xD++o1T5/cHJqcffY+LMV6/2g13pIuTKfZFvexzh2z1QqRSaOA2/LggLNpF9tHCT1M5Sck2jPmNrByYl3b5maentnrfphvwdij/o5ydE/rYO03166EQfSxaU0wsdlodWS0D2XtErG2PK4PBbCWLN7ale1ASBNSPYi7YJC1m8mY+6R7CoKAFLg38qQOY7Ihv+hrR6IoihrGI7utlloiqOiKNuBoaQskdxR8bzHK54HEfmwEQTvLDYbt/jO3R4vf09EknpDFUoZAwBbwO1egFaBv/2F6udMegTNiEgYC9xcHB6fmCO5K8+6JWuP/b0vRN0NnMiVf/jvnm0GzuX+LnpG0Pq7+Jg22U+vc2KOc6hgtyz6u8Uzr3HcmyB5+7ql6QxsItIPXsncPjFTfnlprnUf8s8L0sRj1veX/ltaXxO52tC9/ViczInIpfi5Q1TD6CPyhwmxMTJJRJ91FWufqWB98/XOhutJTdc7m6133v5n71ceuT/4g28P5OKqKIrSjQo0RVG2A0XS+3pC8lCtVDoU16u9veL7l265ZU9w/vyVJIFWFZGB3Z9C5965XK8PbNwg2dGSNAoJNGZk7AtQJzDZxy4HinAYcu9P33Xs1P/5xtu5a/l6jjxfk+g2qUKjPYvveex+PvfA3S/zrQA17xTK5rMkx5HY7EsAwEHQArCESFQEAGY6RaEIzgFyA2uipPMGkg/nHV656n2mNiHPryz5+RqerwRvAbwYdTSTSNBILG4EBk4uxK8ZQNrCxgCw5TGvvnPv2IXYBdOLavkY3ROl5brv5hb99pfroXuuYlARYH/HK0fyvs8RcQDAQwC+t8XjUBQFVBdHRVGUIdF3DVo/GPLO8XL5znuOHJBjB/e+fO7DKyvvf3jtM6Fz6wRV6FzgWTvQ38XlILj8wdLSlwYdo4j4BSqbC6VnmoyzmRNZMeSqQJO2gABCWYtihIgjGM0wvEbSiCAUiBMghIgTILqJhPG9k2h3Ll5PJrwK52fr3w2jnl0SLRcnEj1r/7+9oF73Z/3AnYqt9SXWPIvhkizI2oAhnTpLVsRwbN0AACAASURBVF1RaA0WSV7C2nJ2Pl5phE6ic2V3tIUQLHqTpRUCBGFiRbF246ooWYvKELcDnKXBXBBK0zlcRiT0vPi+/dgAeKTrqziDKK0OANAK3G6SSRccliql/n5PtYnSo61GcDr03YOIvlciErCxs+ZqNCtA090DGUwYUbBcKpkN1v9trDVZ1wyyIotbwV+HCjRFUYaECjRFUbYDm+LKRpLlkveZO48exB23HlheabReuDa72LwxvzS5VG/spFhXMZUyyZCgI+kIhoZm9TliBUCszvmFAGpWFo/vsC8bUggISYkeEyTFgO3XEP0PQhLxOrKvtmPRM+ZaKKENJCj7YWu8GTZ3BeLnSRUsJNCsSU9fvFxvzBtyBmvpXZ0pYBuiSFfqjZ2DjuXC1bm3P7gwd2fe9cNQTjVa4bqImzV8tVLGA3m2J/maJe5PWu4ECwCmei0TkQ9t2R7KO9YeB38HkH19bNEd7UsTKgOl7E5MlyvzF+oTg2ybF3GZTbazdjFQv8ER8zMAfnerB6Eon3SIm8PFUQWaoijbgU23zSY5PlarfOFIrYIjByOX/gf2PDA/XqpMD7jLB+7PVXWVOKLvg2ZDTyoRaQnkkhM35zt/yXdNvxk22Qgb5UbQmGiEK3taYXO8yJEtczkpFhKBeamUvf76W/VoFi39nNskPRpDoJVSKFa0brHfaUS3MEmreRoo7dV45kEazomTGQAAcdZYXnaBfBoJQrVfxGU2AC9mw781POj9yiNHgj/49vmtHoiiKB9/VKApirId2Oq+RgAA34VDr4XLjyz1epVkmeARQ3PEMx5qPVqMiUj9ysrb74XO3Wi5sN4IA7cS+JVG6E81w2C371xqn7EcLpCb9v2MVcqT+3ZMPLdYb47Vm/5nstZnL0MQyd90XLIm+0QrxcqjmPNncYGWKi5FpMXkZtK9x0QuTu6vvbAy1xorj9mx8kTpYZK3u9DNLl9rnvTrwf0AdvQ57nU4J0l95wAApofo7mI7CjQgSnP85lYPQlE+0TBXFH7bowJNUZTtwLYQaK0w2EL77sGaVAMAyTFDc8hY3layFuOl9XNyEfEFuBiKu+G7cKkRBGEjDEqNwJ9ohMHuwLnUCXHB+ri+GK+Wd/ytJ774pZWWv/DP/+zkHICZjE16RdD6ESVZk/2038SoI2hXAcwirvsyljdIvMSoT5ggWyg1ke+zeB/AOURGMA94FfvE5L71P0djzY7JfbUvu8Bdnb+wfEZkrRauX8SlC2hjiErZvE0gjNOKHQlHMhSRUhC6INyefokq0BRFGQoq0BRF2Q5sD4HmtlSg9Zfa1701uJLUbJtkicARQ3ukZCzGvA0Cbv7WyR0X55rNq7PNxuJsoxHMt5pePQjGW2G4B1tgylArl6buv/3gydfOfvTljFV71c/1k96XKtBILIpgEZEg6nRJXCbZFJFbCbi4uXIY1SYiBCMTFOcg7W2lvSy6FxFZgciP0NuFcadXMucqVa+zvu6+zrG16v5pF8qHZGz8GEf6BCBE0HDSin9XhAij1+MSDcPG9N5aBcAEgHsA5Gq4bDyzZ+bIxMTs+aWzENyevcVGRNK/H88a7/DescQ6xPkl/9nZxe3SCm0df8X7lUemgj/4dr895RRFGSI3QQBNBZqiKNuC7SHQwqCI1X1BJOg/420N0qyIuEHr58qT5fKByXL5wC2TG93055srF5zIpcC5qy3nlhph6LfCUALn6ETgovNh5LXOyBRl9XE0uMjKMHrO+B4kaQCevnjROZGdiMTCCoHrAPCTn7vTfObOw88ZgiKAMaRhBGI5stJozU7BO2kNYY2BZwz8MGhN1arvWEN4xtAwWtbe3pAInJOmH8jMZK1Rq5auc63HVWefK++//f++Y969cqNXi4HdAGCIFtk7+iki5977aPlo4qceyiX4ckfCUj8U94ZUJGBCjWDQDCvikGylH8olQPYnLLsCIDX1NQka1qYOjGHho/ogmwOSbhKCjLmJMZn947aKEoC/CuDPtnogiqJ8vFGBpijKdmALa7/WaLmtFGjFWg0QpkhIITWiQVBI7C9Zuz9KoSzUdm0DTuQqgD3t5+3ZtzEGe2fSDQV3T4699sjB/d0ujAsGzGVoUQ/8U8t+slNmpeRlpUA2kJxGmPVBpblnliSQv1afbb1TnSy1bMn0SCmky+h1nfZ7LhSx9Sr2dgDvAbit321FijWyJns2J98u/AxUoCnKlnITBNAyC3EVRVFGzh/+2FPtHktbSjMMtnIMhYwPCFNE5KZPmEd8tuOAja2BRMfG3LVhRPpkv+zZrN9E2tizIkV5zsHHGov+PSsLrVMi0i3isyqx0sZe2JWzVLODOhZSRNLEY3oEbXvPvn7K+5VH9OK3oiiF0D8iiqJsF1YQmRRsGc3Q30qBVigqQNIvsIf0aIqMVqJlWNmnIuhpONGHQEun7GVG0NKERobwpc35tdMFcqI+27pQGfeuehUbuVsyc+O0sRc1OEF1przPXxk48NtAcoQxPaK7BRZtItJEFOn3O27B6r0gBOKbk7sB/HCzx6goSoS6OCqKogyPOrZcoAVbaN9dLGuLsEVSHFOjKQIZ6bmCZCtyuegfkd7nMYE0CWaKkKwTeY4IWppAy4pSpaby9eBwczk47DfC09XJ0n2MjEcGHRtFJCTTm5Sn4VXs3STeEsFhRNE8P74PQIQEQpDx/aojY0jCWWvqIMuM5L9D1LjdkXBTterST9135xXPGDFRHSGsMYjrDPnq+5dn//j0D04h7knbfj+d7y2oBytwUoPAQKISSEAIgZH2xSCJG61bXoZIObZuOQJBGUAJkZlJBdH3VEG2qBUAX5enX1JxpihKIVSgKYqyXVje6gFsrUArhqEpUj/3HpBqmz7corMuoujfYAKNZJIwbaD3hDpEJCRCAKFzLhCRG1hzVwQAX2I3xbFqeXl6ovaeIcNIQNCRFGMYGlLmlpYXnZPZWHxINKRYcIDh3j3jq5ZiJBwBGEMHEq0Vv95abjXAWJxEIkVICAkJQmmJiEcSJMQYNstlW2EkS160xNJSPTgFtoVKvGT1OQTAi0BboMT3kWeLaQUSAFJFbJDiWS5YwwdzfOwtzzOv3XJ0187q/YfvyrF+X+ysVT947M6jtyQtLxnv9P/63A8fS91JM3xbAuntBOnxPMgjq89Did6DyEkIDg4yZkTRta/J0y/97wNuryjKEIgMqLZ6FMVRgaYoynZhcasH0AqDLeyuVOyM4sS1RZQDGAIIGd8DXI1mAHAE2+s4gi5A+CEQJAq0Ma98ieQCQYm7K0vsz9h+DsSqYPWdxKGpjmbMkcxY1Srt+ivyrxw+vGiAFUMaAPCdawFA2dqxUKQlEqk3QxpDepacIOkRsIut1vmzC/PjiM5ndm+t9oOKZz+LaP/t/DsPayKz7dAIAPj+1auHbjSaO5Pe++SuqVu/suvTSYvx0eLiNSeyu9cyEZH3L19P/GIDP3hncXb5WNLylh8+5/vuS+3n1vBkteqtth2YmChjfqn1wrXZ5lEA+xIHmYCIzJFc7TMXhPKhIda91ovpHWPfPnh4R1b7g4EJMvqklT2TXbtH+ilR6Y0XM0QWIDjRY908zAH4GXn6pWcH3F5RFGUdKtAURdkuLCG6Cl2P71uIbNeBdtpU3LC36z7rca9l0vV6CCC0xlwE8HLHa23B1n7c69jxzfs0EDntsR3JiDAd1/PiSAbXohnRcmNYqwJ8M37NdtybrpsX3zusCY/F6TL2x0dsr5c76tUKVy42Vs4mLp8sV79MZqcLDspEqSToUKj92AuSOAvgcMdLHsHc7Qac9J1muP74KUYcca2UQ4IZSJJ9/vrdryE9VPz0RPkLE2OlhYtX66ebLZceVdpIt7HMoVYgPyh7qCS1DgCA+dn6XbWx8oszO8YeHkWtR+BcampoydocAi3VIKVXtHkSwBX0L3QvAPj35OmXXu9zO0VRRgEBbnMnoTyoQFMUZVvwhz/2VL+Ty22Fk7P/CMDfGXT7OHg0KOMoYNNPmjSRcpXknpTlwyDEgOcjdiWzZPnOd+ORhVor5EjP9JFcu5TR3mCDeOw567CGU4f3jT+2vBK8dunayhSAo2n77RpbN/e1AjlT9rCXZM/IIID9lz6cC8ple2Z8opqWGjsQYYZA82zq7xUAQDJI+VY2vm+SEHkP/Qm01wE8IU+/9EEf2yiKomSiAk1RFGU4FGq2LSLNQaNUIhICSIx4ZEEkG0UYcl2PshHRwoDnI9OlbKXPWjbPFKrdS42gxbSQINBIpkc5uw08RFIvC4/XvPtvOzzRunK9cXJ5JfgSsj/TpPd+vBXI25VSokADgD21sXLa8oEJnEv9d5BHoMFgEcCbiCLzAQiHKFpaRVJ7AqLZh7x/FsBX5emXZnNvoSjKpqAujoqiKEqbQo2mkWxqkYcQ/TsCrkKkhu82o/VAE8DYIBsWFWjWsND7IzO3T17O9O+7O4ImOfqmGbK8f3fty41W+M5HV+otkVTzlzRxemvacaxnXjfGPJQ1nkEIJb0GrWRNdvquZyoo4+6ey0ReTtgq77+//wORIUihizKKoihJaKNqRVGU4VAvuH2RyV7hpsMpbMaFvIGbbLPrPOb6dFvxaAo2CM8UsGk1aunfGzd89rnP2dWyPXbboYl7pidKp5DskJrayDpN7FarpaW8YxkEEUn892CNyfObTDP8SVqWJyL4hwB+QcWZomxXiMj5djS3zUIjaIqiKMOhaARtcJFCAoIAOf+mi8hCIP4ZRMVT0grriZGUpD5jQ2bgNEPTlQYoIn1deLSGRVsrZAm0gZtFc+P32VeUlCR376iemJ4sf/Th5fqboZPP9jE2Asm/qUrFG/VMpYUEvxiTlRoKIG57kETv900eg8h1ALsStvsHAP6JPP1SsaaFiqIoGahAUxRFGQ5FBVqRRtPt7fMJNMilS/UffTHnfre1QJOuaIjrU6B5NIVaK1xaXJxrBsH7WHPPbDt0WkTa2U8JRBnEvdOShrfu2YCOkyXPHLz14PjB+SX/29fnmndgLVKUJS4bWHNSXb/PijfS3ngCtJI+FGtMdsSYqdVkacL0LDYKtBDA35anX/pXmcdVFGXLuQlK0FSgKYqiDImiAq2QWUU/27OvxtPp9UBDYuD33l2nFYpUROQCIuHjAIynuBHCmtRISybOuTGk1mvxbJKxZJwuk9tERIrUGZKYmSw/MjlWmv/oav10y3ePIT0NEEgRaBl1i8MgcWxkrpTeNIHWe98iL2Ljb7EO4Ofk6ZeeyXFMRVG2mKhR9cdfoalAUxRFGQ4fG4GGFNfGHoxcoBFoDpozZsl1AqIeBJ+tL62VR02Vy8/NVCqJAs2jKZSulpFKF/XjSj9CE/lt+At/F9Zy+pb9448t1f1XFpb8rN9MYtrt/Fy9sWPXeNHhJOJE6iZhkpVZu4d1EzRHwifpO4gjEEqIBkQuYX2/w/b39GjXrv6JijNFUTYbFWiKoijDoahpQFGB1k+KZO6JvmyCQAMY9tm+bG3LjMl6Vk2aNSwm0DKiUATS+nEB6d9b93vr65ztnBOSvkjUXF1EAgFCCIJK2e6pVt2bAM+BdCQcQSERghRDhK2GP5W075V668TFD+dOHTg0c6KfMeXlvfmF9yrWmxeIEYEVgAKxIjChc/bX/v3HlgxprTXWM/RIWmuM/ZPnvn8hCMNjAB6PRZpBJIAry3X/+UYzeHRlsVVautHcn3Mo/5Bfe6gJ4L/W2jNF+RigjaoVRVGUDgY2+Ygpamffz/b9/O0flUCLohZAYGlWBJiLXxMAQtAhEg3xa3RE/DyqL3IEJRS5MeZ5rfh1rPi+iwsQ2pPpRQCvdhxTOm+t0BX63sh0k5H6UuNcfal5rT2cuB4tGqAIL7+/0PB9NyYCIhIjFIEBxADwSzOVSwJYSCRQbsw33xXAisATkffFd3cI4MXPLaLHFoC1JfOs9UyigDp4aPrcwYPTR5OWn337ygetVvLPau7G8gkCp/aPQKQt+8G+lpPEFgF7Z3pmXsKQTBLtZCSmvbLtZ/ZGAL8H4Di/9tDfladfKvrvXFEUJRMVaIqiKMOhCaz24QoACaJ7hICEKfcOEAdwFiz9EOtFxAZB0eOG6N5bBuT8+tdW56EdV/4JUoId5QmvvZixomH0f5KrS0hAQnEeAMZ1RwRh4scGgI2s7ukBMCS8OIXSxPVhFqAXOxK2b5ZR/7IygPKO8n6PNDODfOgicqURNvZ2PH+1Hga3AWhHf+5L237Z908Octw2ZHoErtUMDraa/oNJy5ut8HzQckcSFted77r6w60dTkTmEcpeDIhz6U3jaJgZ1Z29sXxicrp2ZnyiktZvrW+cyECmOcawlWQBwtg4xCuZAwPs+m8C+BS/9tDPytMvXR1kbIqibA5ag6YoiqIAAAK5uII1R762EMmNweQ1i6l7Bz2+5fjbAO/Ms66ILFe9ct4CosCDN+pzRRGr+3VW7CQfGLPeOythsCTAwayNrSmWC2MyatCYYeOf0ei6p818B+m1hJLeN805SR27Mcwlki5fnJ+9/Y6BdWJPQpGBUn7TGo+vimniFhp8H1F01oGraaoiTnZAcE/CLh4H8AK/9tBfl6dfen2Q8SmKouRBBZqiKMpwaKDPJsnrcYXcBNGfyOknbXFg58D8pAuFDGrr9iTSFOBazXq1RhguOshdaRuXTDE3QmYUz5Hp3wuZWntoRMTF0cZepNffQVJ/jy5M/9itZ3LVVTYb/hdmbyx/d8fO8c/nWT8PzrmBRLs1Jk3wCgCQrNR217p7wgEAWoutU8FKmCTQAOA2AN/m1x76D+Tpl/71IGNUFGW0aARNURRFaVPIJESQnm6Wg1EJNMYpmKO0VR9YoMVW9J29xBZXwuCLAFAy5lkjnAvEfSFpe1uwmjzJaXB1fBk2/lk1bIhSZ2sJy7LO4VkRtNTfnDUmbxTLu/Th3OevXVl8cXKyulIbL0/UauX9pbI9OOhEqRkE16er1XXpp6HIbQCS0kHbY078PLvG0rsJd7IY7qQG4P/m1x56EsDvq3mIoijDRgWaoijKcCjo4lh4jpfbJITRTNUhYwLfQR0J/bCGQzFxSrAhkLaIWY0q+c49joz2B54xxSJoGTVo2SmQGd+bwAcTBVq60M5obO1c+sduMtIzuwn88OHZG8uYvbHcfqnueeaNA4d3lCcmq6m1gN14xk4Z8vF14xV5UTIEmmdtWv+0TlYATHavU50s2bE9tbcBGBAeon8jHlbrKaPXpqeq56zlPwbwu8efeuIdAO8AeDe+b98un3nyGRVvirKpUCNoiqIoyioFBVrRDMd+67joA5LUf6sTh5GKMwAF1amhaYQStkVMl6lGorgBAOwZq+0/PDFxkozcT+J7Rs1OgTdv3Gg0g7AaOa6sSxmkAPCsSXX1y+qTliOC1o8NfzfpAi1DF2dF/3IwFgTusx+cu47aWPnUkaO7HjbWpH4fbYIe+Zd+ELaC0C2FTkInEjrnQhc9dqGT0DnnfD9IjPqxIwU57r23QaAZyxJNdi3n0nJreWa6Oobo9/a5+NbN8vGnnmiLtk7x9i6AC2eefKZI7aWiKDcxKtAURVGGQ4D+olJdpNcL5aDPyTRbOQWaQXoz5SFQLMhgaJqhRHNdkh76+B5mKpXbvnBg/21Jy1+/du2VQFyiC2PJ2lQXyMpY2Y21qi8REJDSqLcOh0G42oPLZNSoIb0/Xup3IhkRNHHpvzlTXKCtslJvnXj7jYvvHz6ya2FiKjua5vcoyfzGn57GR9cWUi8WTE2Xzx08tEF3RXReVif8nj+7jM+sjXPySKsVvlou2wdSVhsHcH9866Z1/KknzmKjcHsHwLkzTz5TtC+ionwiIUeckL9JqEBTFEUZAmXzJWm553wMLGTSGyrnoF+B1s8EsIWRCrRiEBvcBhvYGEkbCJMR4eqMyvSiNlY5URtb++hmry0+N399aVWgZbk8QgYXaMg4x7tsgTbU9DwR3PrB+9elVLIvlCtew1gDa4lSySuNjZd31sbKd7YNUfzQbRhbueRl/sZdmDzkru+q5+cqfZjiLC23pme86qIxTFCEqZQB3B3fugmPP/XEeWwUbj888+Qz7w5wLEVRPmaoQFMURRkeDQwoZGTzBVo/ja2b6JEONjyKRQ8NzdYJtIxah5V689Ts1cUDiBtRB364LnqUnUYofpIGJFmS1OijZAm01N9cVn3dgND3wy/4/saPtVLxnr/tjr2PkkQrDDe86UrJZo7HSbJgJtfEFwG/184Mudzj5SSOLi41T09PVR/rY5s8WERukbcB+MmO168df+qJw2eefEabZStKClqDpiiKonSyAmB6sE2lqJ39KCNoqUYbQ6CoQFv3XuL6osK0wnBZMsaWFUELAyethn9H4vbM+N7SI2hAFN3sXYsm6SYiIukCbdgRtA4cogjWuosZzWbw6KUP5741s2P82HK9ueF9hxmmJgBgor5yz8dP1zV1dyJzJc+cIiCV6cqyMeYCsGYeQhIudLMudKcQNWsn16xF4gbt0euIUmgJwHPOvWiMebjfDwFYbWzvx26kWewG8DcA/PEgx1IU5eODCjRFUZThUR9808ICra/JNMGgjw3mANzS53hyI5BCXvfdAg3pxhq5mWs2P1r2/dSJd0qPsnh5+jE6olQhiQBEQDAk4YMMaTlLyw9IBAAdiZDRug5kKJYNkh4BiV6DY7SeiMhyy+FivP+2UGk/RuC7+TffvHxSBBARrt0LRMCp8dLczHTl+fhtGAAmtgA1AMxSvXUxCNwtWHM4NF2PvY5b+3mJZElEXK/Of5cvLkydfev64cbR5rufvfXQumWXri9MpX+aQKVqKwAe7bXMGvNiyYuEVKXqvW6t+XT3OmHoToZ+eCLrOJ0ErfBaqcIbJHcmreOcezNohU1EYrqE6KJHC8CtiITXm/F9WwDSGL7mlb0vd+3ql6ACTVFS0QiaoiiK0kkRJ8eif4/7jHb0ZaG+0N+++4OgGNROx0/j98FOMcGO56tbtdlXu83fXQlOtvsHiCAU8P3YkBHONQJDltrL46hIe3FHpCQWH/HLjWkfh8aOvloy1lgaa0haGmNIGtIY0vwPJ0/X//gvXzwLgO00xnhwRgALwacBXENb4KzdLABz8JaJcPe+MWBN2KyLKgWhXESKOHZOriGa2G8gDOXK9fnm3qRtgyD83uxs0Mt9EAAwUbUnPev1FDsAYI1ZCCn3Ji3PoGcqcDuS9KML1w78iz999pQT0ImDOOFywz+WtVOR5HRZcs04RqRf19NUdrvQnbae7ZnqKCKNoBW2a86S2LAsIXr75eNPPXHPmSefeWPAsSqK8jFABZqiKMqQIKqvAZyPxYQQcPEcq3Ou1fF43f2Sk9bC6iobV+r1Gtce21nCfK/jNenabt3NcPoGIHWspWoRYGe/p3bPp7Kg6TsZnUYjSiXDWmIz6SzGvHS3eSelS4DsT12pB6VyCZ/Zc2vqOocmdlwTJ7f3u+82WU6KyO5vlxgtJDPrIdNdHlPquQAgDF2RusmeFxSsjaJQfhDeefajG5l29904lxqJ7kgjlJ6f66DX3cPAfclYc4bk8e5lQSv8LoC+onIAgOTP/5cA/Hrf+1OUTwoaQVMURVHaWE4eBvDIINsK5EeAS6xVysFJ9O7F1BOSPwCYL/oh3ogdHAund2YxlJTHXvy1++699XO3HT39vffOfQaRrXpfSLrLB5BdW5go4MjMPmnpJiIp0ajoABl7T9uUtHGD8nV7MZaHAMwC2DHIfkVS2yusHUuKNx7s3nfQCsa8sreunsyF7jUR6V+cAUhxdv3F40898VtnnnymQEq1oijbGRVoiqIow6OImUZBEdSvnwOD/NuYkTaqltELtJH1lDqya9e+b//Ob++br68s/Vd/8RfP/uG//Xd7lpvNtFS2dbhs44sijawL2fCnpQsCAIt3V2+gq5E4SUztrMwv3GheBTDsCNrq+5WkzzVKVD1PRDV/AEJEvepCAGH8nkVEXCyuV2v7RBC60L1jPfuV6LksBX5Y7fc9rI0l0Wl1BsAvAPhXA+9bUW5W2snqH3NUoCmKogyPIjVoRaNU/Z6R+rDZ564+990nbsTnIvpFm2FnMT1Wm/gvf/7nHv/HP/ezePatt9/4zT/5365//1x2VC128UujQASNBpGwSBItqc6BzmU1++7OpO2bOXQJNADwPHN0x55qa2G2+WwYyOP97FDSBVrnsp4DN8aYcsUcyTyOyLLfDDZ8t2HgmmHgXkWUOnwA60Xm97yynUI0hTQALDvrEgkP0d+BKoAKyW6DkE5+CSrQFOWmRQWaoijK8CjSn2jDRLVP+q0H6sckYR/SJ/oFkTwW40Xop+dbIUjixN133fOd3/1tLKysLP/sv/iDU996863EFDdxmcI6S6BlRQcbSBaJWTb86RE0Fla9iRFnkuXpndXHF+ebJ/2mSxMq63CSOq9Ze7/JJiF531PSBZUKgAd6LiFCghOIvlMnQChAAIgD4BBF5Fycfhl5abYjdkD7MUiMG2O+ePypJx488+Qzr+Qcr6J8Ykj31v14oAJNURRleBSJoBUUaP02uqbLOxclaSHmEuD6NtrIR3pD5eL01ZR7aEzVauMPHDnCb735VuI6mXVe2QItS2inCbj0CJqMSpCvklUjh4mp8pfnbzS/7ULJVdspLvW3tHo8iURREfr/zQq+4LeK/xRJnDYVA0RRtP+s8A4VRdl2qEBTFEUZHkUEWgnRZHzQa3/9btfnBNUsFy85SmLkEbRhWqr3xe7JiXSnRJcurHMkEWa9t7SobqpAEkmvDdyMMg+SmNpR+fTctcZHAA5mre8kVaB1RtCSPtZc7yqucWkgSkfMD/EColq2aBRrrq5rbSU6rUyiY9F65kTHcdt2/v/R8aee+M0zTz6z2NcYFOUmhqDWoCmKoijrGFigEYREtveDGnL0+fecfaktgs1RVXHJbDtdmgAAIABJREFUTRpBA4DDO3em1ha6dNdBIDvMWSSClirQMgw3MASJlut7MYZTkzPlC4tzrT3ITMtM/XdQ7liv8M/ZeuZlrPbpA7ruCRAi0nShW62jK5W9u0lOFz12zASA/xDAfzek/SmKsk1QgaYoijI8irg4ApHAG1Cg9S1y+m1sPTInREAyU90KMqrQXybH9u6dTFueKYKyQ2gjc3nMEDvDiKDl/g2WyvZ4pWZPNVfCVMv6vCmOwzCNsZ7NTLsUkboLXYC1+dawo7m/dPypJ/7ozJPPjNYFR1E+RmgETVEURemkSIojUMxkpM80wX5PYGZkvcRuZoF22549u9OWuzAzvbNojVqay2MlTag4J4GI+PExAqyJiwCAK3mm1mgGF+IxhvF6nePpfK39+upzEZnsnkg5kXMimEWHfX28vq2MeWN+y73qQultwgFARNJE59rvrMcETkRCEbRE5Eci0jDGHDCGqd9fFiTHrGeeF1n9Hj5fZH89+AyAhwF8d8j7VZSPJ2qzryiKonRRVKAV2b5PkdPvGWykEbTBe0XlgGB2t7E+EBGHSEz7iCJUnUKk47G4XRNj4Vi5dJWkkHCGdCSFoBgiPLhrcvYr9x47GTgHzxiUPUtLg5K1LFnLsXLZ+WH4XMlaloxlpWRN1SvZkjWmbK05tvvY3OHpfT+wpCVJQ2MNYRg9twacIHkZgCVpGTlxWkSiyhz6rV9dXgn8GqIaRgLwBFh0Ti5Zw3suX19pC8hewqeQeBEn/1oglwCgZHm/AHN+IAuIREdPqhOlH9bnk68VOJccFSTpYc2NNCr8EglcKM83m8Eh5+RTAL7Stdk1EueN4ZKxxrCdvkgYRv+GCEb7I2BpOGWtua1zB9azj3btc9iOqH8XKtAU5aZCBZqiKMrwqBfcvkCUSsqAexFrkYdVW26sC5O0G29xETBnsCYsOrZj5z4IQIjx64aVF6PaNXasF4kNh9AnjMe1ZVi7AYAEiCbIMev0oYQyv66ORyAgbDxWaVnOjHdt2HXPtsBo39rPDckZovwGAAvQQ2fvKYDL/ofnfLd0B6KG2VYiR0wTrQ+DteemY9815HTePP+N/wKIJuWvAFgiuRPAnSQLC9Mxu3/BM9X7Bt2+XCr5jTAY63yNwIyxnCk6tiyc4HYAdwNAK5C3EfUMS+1BRsN7SVwXQc/efJJuEgK02w4IRETONVb8lTCUtLTJ3SLYHYaCMMyVnbjgeeZktVZKag3wzJknn/mp40890f4d2SHcRnjxRFE+ftBoBE1RFEVZYwnA24iEWoBI+DB+3BY77VleZ1AnflxaJMyVjbtdF+3qVD0ubpFEQRgC7sfzDtSszu3yYc3UKdI+nLRcEHwfkM8m70HOATiatNSXhQ0OlmtZYXiPtLdt2Cg3mQaXlwXh3sH3n8kFknWSKZ/PoGR3uk6j6pVaC4VLJwem88B3Jq7VhVexb/qN8Evt57Va6btHj+12k1O1KWvp1Wq9skYFACQMRUjgyqW5+uLCytGBR57MVBC4QynLWwAQ14yF2EKHUUVRti8q0BRFUYaGCdDHRLMbovQyycT0rlTEmy+eYZl6gAwhwCDDeCHjKj+bgCRFpEZqw0+akU6SSS6QPD6KfUvB8rpqqTTC2sJMBjp2qWofsIbf2rlzgrcc3bl31+6Jvuu6yuXSleKePomk1cFt5eetKJ8A1GZfURRFWU/RGV8RO/hUR75NoIjdOxBNXJME2ojPVSMVaB8CGIk4iyhWXTdWLm+lYBhIXZKcqE6UZx783JEHBz2wsRy032AellOWqUBTFCUTFWiKoijDo2AIS8L+3RVXGanRRg4hMLCbYARbKccY5WQaHK1AmyeZlvJWCIEUulQ8UxvbsvxGFHDXDEOXq/4vCY72EvvdItIi2cu4RwWaoowQYigtQLackZ70FEVRPmEUnewOLBTi+eYocxyzTnkFGyozbeI66hTHUfaQGul5NjKUHJyStVvWggAFBJrn2cUiBzZmpFO4OpL/vaihh6IomWgETVEUZXgUFWhFJ8sNjCySJllCI0vkZEXQ0iauI+2TRphRiZTXSO4b0b5jMr+XVIwZqTjNYuBjT05W09IIMzHGDNPmvk1YKtnnS2V7nORYwjoaQVOUUaJ90BRFUZQuijSaBooWFI0wgiZAhnExC0XQCPopOxhpfR0xMpHCUQu0flMc4x5uAaJITujcVgbQBv+979gxVuhChDEctkBbrlS9N0sl+3jGeirQFEXJRAWaoijK8Chag1ZUKBQViClI0QlthhJIjaB5IiKD1A2JyKJALhEMAQggnT3f4seyTJjvo6sHHOPnhjYwtBagkO0eb21xQQldKxCg3QOu/X4Aou7QHLhHWR6ur1zFfOuDcw5iIGIF8U3Eix97ImIBeBJ9hwZRRLIMAM40PpYpd9VqKSlClYshR9Cu1GqlWeuZPG0UVKApyojRCJqiKIrSyShrwPIwQoGW2TQt64yYVYOWsVwaAPsyhhCRJUHzsoibc2gk9nCzhg9Olg+k7Cl4DsCjiYvt1KuEeWDj8d2PlsKL/Qy5b0IE3ko4eD+vasnbsj5c5OCXJCoVb6LIsY1lCcBlRL9Lh7WeZDviW24mp2uvWWtKAC7lWH2U/0YVRblJUIGmKIoyPIoKtKKX/UZ4db5wBC0DptaoCVo/EDEra9N6ot37m2AJMAcBHiUJEQHgXhH4HoB7Ab5UcHAZ0T9JEDkcqbkJABgWS9U7smt63vPMBwCcNawbwxYARzIkICCEpOt6DBICUlYfgyDb7mnt72DtuTW0IAzjL04AObJ759xdt+z/NgkakmT7DtFjgCZ6zdLQMjZcIWBev3ZlrIiyrI1Vdu/cM7kh/XRxrn7S98Mv97Mv65mHSO7MedX+sw9+86vfeOWX//x6P8dQFCU/zEjI/zigAk1RFGV4FE1xLHpWKdJHLYsssZFlVpGV4tg99rhWigEAJyIHSXe415YSKbV3AXxfhPOAVAFMxft4FeA1ovIS1qcwurXHLugw21hNXWw/FsDP+GiTtMLumtn9LTDoFFHxd0zGYoW+W2xh7XzMlbAh8XMi+ly7bxaRGUzNiSsUkbnaWLYH9k7cUmQfg7J7ZvzZnVNjjwyyLY25jgL1c8ZwvOfrniH88Dyi3047siYgHNeet387DgDnb9Q5vXO8TCJPVG8CwG8A+O2BB68oyk2PCjRFUZTh0UBkvtApZtaZMsSPw67H7XXqAN7A2uSwXS/Vo25q402AOcAtYr35QlcSGRsE2wYL7H1Pdr1GQBYQuVS2l5nOe5FgUdA8g/VCokNg2IZh+SOsCYzOe8/jHj/+DGxca7auViqUxTDFU6JF2GNJC0mcIScSm0WLuNNA80tJy53ISRlAoJGcsCw/DqRHuQzNNUB2d7w0D2A6bZvVbcEredZLYqHRHHFkNJnAuYEvSFiyHgC7Chy+5wWF8YnqifGJEbcUBH71wW9+9Z+98st/fmPUB1KUTxzq4qgoiqJ0QpZXAJTi9K4QkdhYJzQy9nCVsPcMPoLgO4D7Yvo63nOATRQjyfAcgKMpK9QBJIogAOcAHkzePUAw7Zy0gmTRkuXyWDD6l3myTwzlELQSLU85xvom3QRnBZJLoJGZtYHbliKtyMrWzjfDcODIX8ZvbdRMAvh1AL+zhWNQFGUbo42qFUVRhkcAIIyLaOwAV/EKThqzjDaA2MVwEDJETlYtVGb6ZlYKZGp9nUDSUv0KCbQc32KW1UWWU2LXcsltgFFUaHhmZD3gMvGDcOA5yI5qrVj0iaPtrZeDX3vwm1/ty4xEUZRs4rrYkd02CxVoiqIoQ4I4IijUrFruEMipAkPIM9ke0DdPUie0zBaXBQVapgFKWv1f1mQ8K4KWMfZM0ZtaJ8YNLQZSWw6sX5MFBZrdumlAw/cH7m83XakUcnGM02i3sgncFKIomqIoygZUoCmKogyX+uCb8gLBEwW2zyG+Bu61llGYk+VYKFnnm4xxZYqWNBGUIdAKNy3O+kyzxGV3gVt+gZYdHUxlrFQaVZPuTILQDfy5e8Y8WDLmcsEhbLXl/a89+M2vzmzxGBTlJoOIs1hGctssVKApiqIMlyIRtIK27HkE2sBkiZyiLo8ZZAq0NBGU1dQ4QyiwoLjMElzrvzf20S6haAStSB1YUULnBh47SbOjVnu34BC2ukn3NIBf2+IxKIqyDVGTEEVRlOFSQKBlml2kQjBP/uKgM/KKk8Z5ohKSvK3H8qw0wqwatdShEQgy3ltaNGRMRNKufhZNz8wio/0Bu8ZOv49M1EJjq3jr3nqANcfRTrfRbvfR9s0ZQxf3RnNY7ZcW3ZMQW/IC6xlDUtb3TqOUKuXW7MrK9ciCVNBxz9XnEIqAIsK150IBWG+1Foq8d4y2LUVefv3Bb371v3nll/98fqsHoig3C9oHTVEURemmSC+0gsYFecIhRXqtyREAZxKOnSEuMxtdZ4wrvZE1sqMhAZLPeVkGKFk1aKlLF1tLrwvkLLAmQjox9Oc9g1hsCAUut5MnCzbD/ul776qdPvt+C0A5jsZ5yExnXeNTtx44X62UjiQtn282nncijyYtf2e2kNfHFUPOk8zleNmDETZ2z80MgF8F8I+2eiCKomwfVKApiqIMly2LoOX0mCqa2p40qR2x1b23kqHBsgRaA0hsJJwlHgvVqH2wdOGog7s7afl0ufb8ZLmaKGLSMMwvpnpR8TyP5MgcDTmwKU0u9jqRVwxwH9l/HSGJBRHsH8XA+uQ3HvzmV3//lV/+86IRQUVRbpI+aFqDpiiKMlyKRNBqxQ6dWSsFFP+7nxDJYtbYC1rd26w6siIRtqwIWrEUSGaObeDZREfT8YGwxhS6UOucy/i9c9ROiQ+KyOmkhRLREpEVEVkSkQURmRWRaxtTS7eMHQD+3lYPQlGU7YNG0BRFUYZLkQhaUYGWI4ogBf/uS5igJzrH3gJwHcCBjteyhESWUUdWhC5LBKX1iMvad5aASl3OjP50gQuDVhjWBRI6kcCjCawxoYiEAEIBnIgEAjiBOBE4JxIK4ELn3LLvOxERAZwTEYE4J5E2iZ5H+M45JwInIqE4rAQBP5xdqAO4P+P9JY89CFN/72Sc1zlCnMiO5eWVeUS/oSqiqJ1FJPqJhNThA/t3/MCz5my8rgcArVZw9tKVucf7Of6eXVMna7XyXQMMffV3I4KBIqiKovTgJoigqUBTFEUZLkUiaEYgfoG6ojxpXgP/3RcRR/buHUXyVUp5nigdBsxtgNQclt5B1GsqBDgPcAnR5Nl13YuIuwG4F7CWEidxSwARiAPcEtKFxBWAJ9vD6RwaAApaKyIYaz+PbtLx2H24tr4YRJ8lARgB5yz3vwXAxFFKRo8jASDwfZHk7LQsgfZvzr/HhVZrNUJ4tV5/cbHVejhtm2GxVG+8XWR7J5IljDfDxv8ORCKsrzRHYzhG8vZ1r1lzoY9dOBK+9YwlWShVksSuItsrinJzoQJNURRluBRKm3LS/A4AL3KSiP4Tz3ElMpmQdc/j1wAROLRaQOukQLjW7kxiD3chEIVVQPOCiPMAZwExAhjAWRFXEbhK1JRaLCBWAC+y/5fSdOn+N0nzSMdwQwAvANgP8AGzLtuOMxZT/fR4ejmQy59JXmzeNalZlNwB2JQoROs9QHq5T2ZCGpAmOUIi5oM0FUIyTJMplhts9lMF3TAxplj9mUh6k+6aV7p1sdX8CMDBIsdJg2TNGL7lnPQbxdowds+a+48c3v0hIrHXjsJ5WIuyeQBs3OjaIIq+PlZk/DEFW2woitLmJgigqUBTFEUZMkuDbigi/qJ/5lEUNKXIPtCgm4nPKJXwbQBXAdwJcFipWRm1cZIlJLJqnQo49mX1p0uv/cuKoJkugWY48rqtjmOZ1PdmyGDP5Pi53ZPjs541oTVGLCnGUKwxsiShlzZYz5ijBF8UyMgEGgBYay47F/Yn0HokX5KsATg0rHH1wciMWhTlkwSxtf0dh4UKNEVRlOEysEBDdG4ZrTgrgMDFeXw8Pvy9Z6Z1Zkxg0yM5KNaUuFCPN2YYZWyIoG2iQKuWvNIvPHTvs54xYo2BJcUzBtYYeNYAlsteyT7BBFu09+bmT787l97Ci0QoI050tMZ4fp+BR8n+zWwmGkFTlJsEkjMA/iWAexFdEv1PAbwF4E8AHAVwDsAviMhs0j5UoCmKogyR0DU+MCz9EGA1djYcAzBB9hYgEtXwXBaE10WCJcDcD7gkO/gthWAth6NhmzcBHEaytX03GRNUyTIZyZAADAYvh8qK3mVE0GhShUD31d4RW9Ovo1LyKn/17mOJphhX6vXnrqzUEy9Hl2z6ewM2J2WT5M4BNtu0zzkHKtAUZShwO9js/z6AfyMiPxe3MRkD8FsA/q2I/FOSfx/A3wfwnyftQAWaoijKEFkK3g4RXTXrgk3CLhK2TpqWwJVEgmlBOIMopWor0qr6JDXicBVR6iMB3AXgbgA/QmTgkIPMWqiCPeIyXR7TyBpb6rmUYKoQsF36rjvlcZSEzqW+N8N08ZlzrJvxfg73u4GM3F+yLzTFUVFuAkhOATgB4G8CgIi0ALRIfhXAj8Wr/U8AvgUVaIqiKJtGwqU7qQiCiqBAIGeLEXFBx7vzAbwOYB6Rnf6dAPZ0bdJP3VeWAKsC5dOEid0TxQFwUUSPFmCNMC9jzVq9w2mRBMpTBN/Bevv1VSMIh0UHSIITX1YNWkaKY4aIsV2XezczghZKemTSZDSA7haXCfsIR53jSHKCwDUBdvex2Vb/S3QlYy5UPO9yxXqXtngsinJzwJHXoO0m+b2O538kIn/U8fx2RBcs/0eSDwD4PoBfA7BPRC4CgIhcJLk37SAq0BRFUYZLATOK7Y1DsGyBZxH1mvo0gAczNrkB4IfoYavf9VgAaQJItSo3qD5MZvZD60nm6Vrs/wuEbcv57om7iIRt3dS9KwautXR+8cINB6GI0IljKI5OnBGAgdSbJmUAtms2sZnpOQJQRAKyd+qqYbr4tDnGmlS/NmxoeEmc5BZomxVAI1CveN75ivVuVD3PL1tbscbsJnCE5BEARwBc25TBKIpSlGsi8rmU5R6AhwB8XUReIPn7iNIZ+0IFmqIoynAp0qh6myMVAP008e1jXbaI6sk1/dOe1TP+Dwngi30cuy8Icyui1MwEkj1GCHnnjbmzx5KWz1SqpyZKyRlsGyJom18/0UTCfMAkCLc23eKyF8yhj4eBNWbOufzlbkWCemVrz/lhuF86GrATWK6VSj+qet5CxXooWTthyQMkDyBK+U2jaAqvoijYFi6OFwBcEJEX4ud/hkigXSZ5II6eHQBwJW0nKtAURVGGS32rBzA6RpenRrLsceeXR7X/HAxco5ZkANMmdC5d5HB9fM1skqDpoAVgvNcCIj3F0eRQk9ykrkTGGNePH8mgg9pVGzs1Xa2eAAARafdM201yHNlR5SRUoCnKTYCIXCL5Acm7ROQtAD8B4Ex8+0UA/zS+//O0/ahAUxRFGS43s0Db6gGMEBax4U8VaMuBf/dUubIcT+A3YM16EbRZKYFtBGgmHTCrBs2QJu6NBwE8SzY9YxYN6QwREAwt0GyERTxa8jFTq9qj+/edNiQJ0hCGkclJ9IGSxoAWhCHAuUZzCeQbWNNqHqPvst2Uuv3YYq1m0UdHZJjksMx9yr/x7G/ynz/+ezfzPzJF2RS2QR+0rwN4OnZwPAvgP0FU+/ynJP8WgPMAfj5tByrQFEVRhstNm+J4M80cBRIiCrc4AKGILAMyi+h1xK+7eB1Ze942J1m9iUi4CCCxEbMT2VmxY38BhLvahycoIIQg9tXMwuyYO21IISk7yuPLU4cnTloaWBpYQ5j2Yxpaw9XHhmT73pAwNCZSJSSj10wkoqLHRLSaAA4CgEDgmgBwgwBIWoKWkb7xBJh8cJdcNKQ1pGdoPBMt9wzpvTv/IQ9PTHgiEgK4DGCM5Lo6sIVm66M/feutoXxvaVhyerpa7eGg2puxUmm2EYb39HmYWp/r90MZUbqpoigfY0TkFQC96tR+Iu8+VKApiqIMl60WaCGiiEb7vvsWIooC9Fqnc9vOmw8ghGBZ4EpYZ+4B9LhHl5xj12N2vNZ2W6SIvwLIBCAEYGR1mcRujO1b93MYgGcJe0f83Pa4f4HkCaw5LtqOxxAslQDZkf7RJiHpnZoBfGr69nssze09F04Dn9832JGHw+AO7yXjeUAk7AD0fBfW5LB6HAIrQdCPgyNIbMq4+kAFmqIMgW3QB60wKtAURVGGy3sAnkRvwdMthDofO0RCyEdUE9S9vY900RUACGfKPz2yQJfgg38AyC+Obv/+OUCODrY1rwH2QMoK6wRZj+3DAjHCzPqhd+c/uHjnzK29BdrHGGtMagokkG00MiyaYbhXRCR/iujmCMc+qABY3OpBKIqy9ahAUxRFGSIz5Z++COCfbfU4RsSIo4Ms0iSu6PksrQl3FpkC7ezChS/tH9t1eqo88ViB42w7mMNqw2BzBBqiaGkLOUOCm+Uu2QdqFKIoBSEIs+3+affPdrt6pCiKomxfRn11v4iTRJYIyDjfpTeTTt0yCtlk2gc+f+nVL11rzJ0a9DjbkZLxMkWFYbqJypDp53vcbmWVKtAURQGgAk1RFEXJTxGnwxyMzkkR2ee7IhE0GNpGjtX4vSuvn/hg6dJNI9I8YzOjY1ltCLYKFxm+bCdUoCnKEDAc3W3T3sPmHUpRFEX5mDNqr/QC+5eCAm3wCBoAWJpW3nVfv/HuCSfu/SLH2y4YmmyBli2eh0luxxMbWWBvJ1SgKYoCQGvQFEVRlPzk7wI8ECwiALMmtyO9IGlo+nLfa4X+tapXuXVU49ksPJpMkUOyuhljiY+V+xo3VaApys0Hbw4XR42gKYqiKHnJdOwryCiNOlLHnsfsInXntLkjaAAQihtxuujmYGgyo2MENk2giUhuIxuO/vfcL9tNMCqKskVoBE1RFEXJy4gv6rFIhC5LKGRNxgspNEvTV/TPybarfxqIPAINm5vi2EDOZtLcfnMgjaApSkEIwGgETVEURfkEMWpRUaQOLCv6kDEZLxhBM/lr0ADAFA3ZbRNsPoG2mcKjj8jktuyDpiiKsu2uHimKoijbl5H2QSPgCii0LKGQdb4rGEGzfdbPje4Srx+GfigucCKhg7jQhX7gXBiKhKG40Ik4Jy4MRcSJc06cC5xzgbgwcKEjGITiEDjnAhe6QJwLxUngnHPiEIoT34USOie+C8LloGEEIiKAg0AEvu/CkojACWjI5l27dlfXSkNIRq4scm1pee7s1et7ABAQi0ikWxFYAOax245cPTg9tT/+wKwTWfnL9967L+Xt5/4eyG03B1KBpihD4GaIoG23P06KoijK9mWkfdAEdAIJEU3SA0SmJBLfO0ACRm6LrtdNEDYQndfar0nH/Szh3Z10bNKbFgmej9cVQCYAeTDv2M/Oz52/vDI/KxBCAIkECAEhAIjACGBExApgzs49v2xpfxCIM07ETJVr9U9N71k+MrmTu2uTO2q2dITk1IbPSKTRDIO5t+cuXzs7f3X+vflrwYWludJCa2W8EfgzgbidACaxXrCetDRfThq7QE4BONF+Pl2pvmzIz+R97z3G+EEjDG5pP/eMOX9gYvJIr3V3jtWef1fk88l74yueMavfmxFZGnRcG/a8/Wq+VKApigJABZqiKIqSG5kH8AKiaBMRpckn3WzHOl7Ha17H8/YyC6AUaamgXSvW4/zE7wJMmcynZhmeTzvlkaX7DTwA4RknjWuAO5S2s26urCzuqwfBZ/Ou//7i9VcaYbguEvTS1fXO+zPl2pWJcnURAJdajYklvzkTiKv6Ybg021i5t4/hZV1O7g5cFnXrXBfNFElugWCYnmYYONcdEUs0HDkwMfEdkl/MNUIAwLbrz6YCTVEKcrPUoKlAUxRFUfLiA/jCFh5/VCYi55wEb4os3wfg+CA7NzR91eeR2e9lrrWyd661sneQ8XQfrp+VRcT1k4E5u1w/6ZxQIBQRhE6kVi2HZc8esuSlveMTFwAc6LWtIVPNWwIXrvucSHpVz7sCQCrWLloysMb4BHD3zr11Y/BDgkLQkRARUCAGgDTC1v3r97Xt5kDbLaKnKMoWsd3+OCmKoijblxHXoDHLJaSISUm3QLsK4A0AewDcQ5hrAvQVNevE9inQUMAQZQBh0e/l5L6E8MW5hftC53Z2vnawNP3DsmcPkWx6xjycOLAsgRa6DWP5ytGjbdG6r/2apTn7d47/7H1J/Y8CF/q/9/L/0v3ydpsDaQRNUQrDwm1TtgPb7Y+ToiiKsn0ZqUBD/6l4/VABsADgNQBjAB5ER90VCp4PPZNuEiIiy60g/NH1peX5j2YXxmu1iuyYHB/oWAT7nchnfa7rlkufQtiQrW4V5UQCABCR1KhQVgStFYZ5xuK+fPBzN0jenrRCL7dJkfSc2C1ABZqiDAFNcVQURVE+SYxYoGWeVPuOoEnUb+ysoPWR4dgjAB5LOHahpsVl660bm4hcXm623rs0t9i6cGNu742l+p0SiUIAwG37d79Q4HD91k712wOuLyFsyGb3a85JGO8odaxZvcgC57K+87mfOPz5d++aOfq51ONEEzYfHeMR5G9qvUmoQFMUBYAKNEVRFCU/o57QZvWlyiUcIsN3eRWQRUHzEOCOATiWsdm68+GSv/zu+0vnPxQRtGurBMIfXry6+H+9/sZ04BydOIbOmVCEn9q/c8XzzKmPZufLF+cXbq03/QPoSMHrJnQbU/fyQrLfWqWsz7VLoEm/Am1D7zGRWKCJpIoOMt2oI3DJnRcs7Tu/cOwnKzsqU3nNWRroEGjc3AbaeVCBpigFITWCpiiKonyyWB7t7oudVUXkPCCXBSuHelnki0grRdysm6zXg/rsfGvhxP/P3ptH2XHl933f371Vb+kFQDd2EARBkARJAFyG65CcAWekkTRHmmg8kY8rF41yAAAgAElEQVQSz8T08bGVyFFGssaKFCUnsmUt8UhOJEfRcmRbx2IkRR5JlhxFysiRdATuw+EyA2IfrgBBAt2N3t9ade8vf1S97tfdr6peVb3Xr9H4fXiKb6mqW/dVvca73/r97ve3eqP35iZfentmco1T4MRb86n66vkmu0BLP5BPiqCtEHDM6SJopGhNeueSQItxXQSSI2imQwBtyCm99ol9DzkHRvfco0il+c6s6GcGodtvRKAJggBABJogCILQJYQDhnFxEcBInw6ROs2QmT8A/G8xmocAPgCgY72tkAainfJWCDRNuuPvY8nRuVIhWzT9ruZWRZF2IJ+qSDenT3FcI9BskFoKJEWpEkSSt+o03bv9jmee2HP/8SgzkNhDgZqrtOdGE2i9cOwUhBseiaAJgiAINxrT6JtA624eGDNfAcx5RnMPYO8EsC9u+2v12dev1Wfnt5c8S6RU2AbC/wjM8Nk30/Wr7zEsGWt0zdT3d2qr6Dg9+d002QNorflUBt0L2qQ+r0qBTOfF0inF0fJymmRc5DKpWLRpy7a8aXjnMx/b+5E1Uc1uIaJGW7dAGW4I9Jnv/dFnf7zwSx//hY1mXiIIwjojAk0QBEFIwyzio1R5iJ0rxWw9RvObgLkPwJ5uG52sT8/PNOafvNaYzd3BXgm0HlAH0K0NZFKfVwiVdDPQAGZeI3SYVxi6REUu/XCZRyA4DQBQ8J4BkSmGAUtH6XOfueX4Y+l6tpLH9xy7OFG7csZVPEQAPGt5ul6HYQsCQVGw6OCRWq/bnpMmIgWCUkR/8/7FuwCMJx03BeMAvgvAn/awTUG44dgEATQRaIIgCEIq0k22SkeCmYUthOIsFb2siVNwdC+MJYxlZmauIRAjjMChsrX4vCxYbPDIFkFAyQBgV6kqAJcAS0QMgInIEMAEgIiYgvesJqoT0dVWdSBFxERYEiWOIo+BZ0IhQkWtSSv1ggIRERQtPYIAUirULJbZVpteZWT3rmLRdU6VHF3WSrmKSDtKHdZKTRGRqwBFRFUE4yaNYOyhiMgBsO/zD9yLGA4AqHzfoU+VtMp37o/vu+9j043h5w3Xn8jTDgA0jan9zfsXY+fXZeTzEIEmCDc8ItAEQRCENCwArblfWAC4JSIsAqFBWBYU4cKtdSGt10sJZ+F+fp3ZnAhSHWnbZGW+fuLdc2axWTe+NUyKZ4ol/axhCxMIHBi28K1lwxZ+0zRnqtWCYQtjLRabDXpzZnK8afw9t42PndAONZvWFi0zMQOWmSwzmJksgMW5qjLMxMH7yjLIslXMUCPl4tyBvdu3+9bOdTop41uGXzmwe3wvApGpOywOAB0WZtYACg3jl7NehIf37p0oaD3wOUtbi/33tXhsz70nt5e25oqetSBQnrl/S1yuLLwN4Ggv2lrFZ3/02R8f/aWP/8JCH9oWhE1PeBNq0N3IjQg0QRAEoWt8OzETPo2d99ULzk9dOvmLz/8/S+GVgus8t2fXWEQdM2BqZuFZzzcf77Tu7OTUnY6rzylFd0Xtv7BYjeyLIX67ae0hy3yx03oiMkR0U2QDa8k1/8ky3xDzlPYMbX/2Izvu6nhNs0CgPMXOYZnt6WuTrz37waVc7cRQBvBZAL/Tp/YFQbgOEIEmCIIgpCH/RK4uKTnuit8oZo69LRqm+sXAXkIx7BWFjNuxll0gunYW27XzsBJIqk0WCzOvcU7cbLjKOfPZg59YU9IgF6RSFhFYyWyj/uGfvftWbFFsACDgCnc3T5JXLwR8P0SgCUJGSCJogiAIwg1Hv4tVL7HakIMTRA1RwtCbkSRqVhQybscyt97v6Dpo2Kb9Pc0XQQvE5GZlfkdp2xufOXj87rzzzlaTdz7iWLF0k6vUBc/aw3HbHRjdeuHiwpxlYHdR67MHRrdcOzq+c8ttW7fd7ShVaisTQFh71+C7r9b+eNfu8ucmcnVWEITrFhFogiAIQhrq/Wy84fvN169cvHDinXPTL1x6a4UJQye3wHaSBt+h8Ub0/oQGM0Y77svcEmYdBZq1vL4CbfNE0K7sLpffLjnOsKPUsKvUtqNjx97bPbQ3t5FHJ/IKNCLCDxy9f+tvnHr9Pct8S8Rm1e+65dbbLi3MXz60dZs7WigeS3kYjSCK9n/k6qwg3KD00hhqUIhAEwRBENLQ6GVj843a/EuX3/7WX797bvHM5AeFq3NzDwLoPKDleFHTRVZLfPExIi/KY94yt9wwOhp7JInHDuT6/b3OBdpMSesz20ulwrZi8V5F9Hj7ygtzZzQRvbqztPvBLAWp4yDSuRvcUizufuquY2/94ZvnXl30vEMAxlrrFHD54NZtb46Xyk+Ol8pp5iSu5vMQgSYINywi0ARBEIQ0ZI6gWWa8OT3x9rOXvvXBi++/hXfnru3zrDkE4EEAYOZ5xBQuZiRE0JJG8ytrc63dH/CiciTZBgKNiJz9u8ae8XyjiciGdvXsOqoeFmTutgxAXoGWvdJ176gWlHqj5Dh1ZoZnreNZu8Uw7wUwQsBFV6npkuM0ylo7WinHVao86rrHiCguQjZ2fvb0g++qN7/+4K7H7tWke2YVyWx7Yu6xZ3jktv/uvofAzKh43tSi15wbLRTHh133JgB5hFmLx67W/vjQ7vLn3u5BW4Jww0AkLo6CIAjCjUfXAq3SbFSfe/vC+Zfef3viGzOXd07XK7cDOBQunYifb5QYQUv8UY63WKfoeV0MOMzMRETbt44cj9jmTIphQd4Ux4EJNMv8QcP337l169bCznL50U7bMDOIKHaeVhIN23j41cmXXn5k1xOP5GmnnaZd3NKrtoDgOzdSKOwYKRR29LLdkL8D4Of60K4gCBscEWiCIAhCGjoKNGbGxdlrl//qwpmLf3XhjHfu6ge7ql7zDgAfcVz93PjubQ900XasQOOE3yyieBMRDuqvRe8P8hDvM9IAEFecOM1v6nWZ4uhbe7JhzEEAT7w1N+d71r64b3h4TY2yXqUmNk0jstZbWEXPAGwZ7AFgRXo4rj1XleebdrEnfVsHvnC19sc/v7v8uX5Z+gvCpkQiaIIgCMKNRh0AGr7vvXrpnfN/ce6Nay+8+2bxg7mZQ5a5Y3oXc9eW8vG/SctOih0hovjjJBmsx0TQQpIEWhrHwVxpe5616+riyMzNhjEvGubHsfw5nYsLCw+XtT45VirdG7d/VnxrKl+9+NVrCL4bBQAFAs3evX3nCIJz2Cr87QKYOTD8QKxAc9SQcx0JtLsB3A/g9UF3RBCE9UUEmiAIgtA1X/qT35t9/u0Lb8w36nciysxjDdyVQAujLk1EzENLjKAhQaAlhMeIKCltMKk4dBqBtguBaUmmVEfL8dHAXrLQbL5e8/yJ4YL7XR1WO+dnZw/cs337u8OuezBL+01jXuSl9FNmXq4JBstcAXC0fXsGb0Pn8zY637z8Z0Pu8DYAFJQUg0JoZa9p2+Sws29n2dnzGgEKIKr7F2cZzZ3hd0cDUATSCKKxGoAmUEsEOuFzJ3itn1dUunnem9CG/Zajo0egGkBNIlUlUDOIzAIAbOgvZ4Glitkq/KgKgOKlPnPYb/osRKAJQtcQJIImCIIg3GD8v2dPWgD3pNknRQQNCCJ0UUYhkQYiAEAUL3Y6qTMOhI4PwCiiKoB5AIYAQ0QNReQBsKF4GwLgaaJLjlKLmshnAMyBGHC1XnCVuqhAAIEVESsQh5PWWYGgVPBIBLw3P7+PgTsSzkdHbITbZC+pef7ZK5VKxTA/BOBKyXFmtKKxDptuO3Xt2vwDO3dOu1qPpz1Ow5oHEX1tL6i1ltm6NR9w1ftOwy6MDKEUYUCiniPSD+u2r4mrimcZfHfaPoftFYno0BZ313KRaSIX6YR6Ev/Qsy//jKse2QimMIIgrBMi0ARBEIQ0pHJxJEWvl4eLXafjfXhl4RVrUWJmxQxiZmKAmFmxBa5crV5lhrKWFVtWllkxs7KWdamkK9u3Ft8DmDiIeBAYLgDNYO01jV+r+TWANTMchFELhOLgv3nyEf3pew5Hmki8v7BwZs/w8E5HqSiTk1R85fz5F6Yb9awCrS8KbbbeeMlRVLpWq9c8a9vnlu2ZrFZP7h4eGglFyAoYOPCNqak3Hty1a0QRxQrpDviIFmhR45SO6aZJWaxroTxz+TSwwj20H7ftbwLwRQC/3Ie2BWETQj2bAztIRKAJgiAIaUg1oGXLY0qprgXa1YnK7cw4ELV+di5aH474bmVs1I0qHgwALjN3rGMGAA3fj41S7B8dPRK3Pi0lR/u9rSqXn2u12jgDHd0XGbh3qlp7YcdQ+fFOAyDDfM/JqakX79ux47GUA6S470fHccpkrfIaAFZEdkd5+ONLfYzVrZ3SQlWOyFR3qbs94F949uW/cNUjZ9fpeIIgDJj1+sdFEARB2BykDVEc9Jp+LcX2mSMa1nKCy2O8aqh5/rq65XnWZv4NLmidy6Y/htg++cyPzzYaJ6LW14157MLsbOT6COIEWsd0wala9fGpWvWJa7XqinTbcA5XBGvVWxfzDuNYr5vcRQBPe/blXqZOCsKmRVH/lvVCImiCIAhCGlIPaB1X15RWz4S/bcvpYBSYN4SvFQAqldxttVo2g0JOqJOGhBS0WtNbN+MNAPBzCLQd5XKuGmNRJBmxAEDdN08uNr0XRwruGnt9AJhpNJ58f3Hx+f0jI3HFqNtJLdBaMK9MjUwQaB3eozzXvF8iuRMPAfhJAP98HY8pCMKAEIEmCIIgpCHJyXANTsEpK0UdizuvplDQp7MLtKQIWnx0qOGvbwTNtzbzb/DlxcWzt27dGlkjLAddicaFZvNBR9HJkuN0tNd/f3Hx0SHH+eZ4qXRfF81lFmgWvLJcAceJcNthXR6BFv996wP/s2df/jNXPfLqOh9XEK4bAhvU638OmqQ4CoIgCGlIPWuKOS6qsRKts88JShJoSPjNa6xziqOf3N9Imsb05febujeBKczUG7d4xr4bsd65MDt7sOJ573TRVlxaa9I50tw28Yxj5oV1NhC5LlIc24/3tGdfjqvFJwjCJkAiaIIgCEIa0gs0273uOXjL2NUD+7d8EyAdRrwUCHpFnSpq1aGCAyw/t9aqeiW6e0mFrBvxHiE9x1ib1u1wiYLWfUnHVEQLpnuDyK1Ttdr8rqHyNa3U9k7rT127tvCRnTunClrviGknTqB1c46aCAt/J6Q4dlincojydY+gAcARBGmOPz6AYwvCxoekDpogCIJw4zGfdgfm7t3uXFeNGUI3aXFrIKJIh8aQ2DlDDT+P43p6OMccJr1xfKRvnqzWToX2+8XVKxnY/82pqdMP7No1qjusD4k78S6Dw+mKkTQQCjSAo88ps17dDOWbgzYo044f8+zLf+qqR54d0PEFYUOzcf55zI6kOAqCIAhpSC/QbPcpjshgQtKik0BYRexNyYZv1vVXnTlGTCTgKtVzgwrLvFjQeiLtfgwcm6zWXo+yuDfMR9+Ymopcj2TnzqT1S3PY4kVvryNoXUX3+gEB+HeefXlkQMcXBKHPSARNEARBSEMVgYjqSiAUiu65kW1D27ptPGdEI3bAHKZGRtL0/fUVaDlukiaVDEjVD2auG/NCzTeHS47z6brvn2LgWJo2DPNHZ+qNE+Pl0pOd1teN+ej52dkTd42NrVlPgElQSR7ixyvLAq5N9DIzFr3GvG+t3zR+c9jVjW3FLfMIvr8WgPGtrTP4cpiIa8AwDHD42iKoCR48gi0HE9k4SDGlmiLnHQT2kBYgDp+DAG4zIOG1BqJE4abhR2fFsA5ATIAJ9l0yOVUAhSm9VEDwPS8C+HkAPxx/6gThxoIgKY6CIAjCDcab/9Nf8u0/96l5AGPdbK8dVVFKPdj1AQh9E2hIEJWe6eTy11cyH89Ym3sOmmWeqvvmbN2YmwA8AQSpQaPF4tB8o+EhKOx9ioHZcBde/bjszsGoWgsi/JWjlMuh9mCAOHRWnKnXnbdnZp9jgmYGBetYacKUsfZVy0wWrCyzYgZZDp7vHBmpgzESRsdUuOjwNX3l/PlTl+bnCwhe34Eg5VGHy5ZWF0cK7nvff9ddS69DvjPLufuOm2+fVKTLY8XdPYtiZfgyfNHw6T/XdPSrveqDIAgbAxFogiAIQloW0KVAy5DG15XwYGYfQWTFRxAR8QH4zNxEIBwMeGmdZYYx1s40PVNlDiMjgYLgpecWcyn7mgvKls45AWC2YcyCYX4DDAOwNYCxgRmLZbBBEECyDObwcwahHzBZhmuZ9wI4CODjqw/gKHWIgNcYeMAyT/vMxxHsnqgh5hqpqzBgtl57uep5kSJ+fGh4koh2Rq0fKRSvoYvvo82RUroaBjwGb4QUw39r+PQ9mo5OD7ojgrAxIImgCYIgCDcWo1/62LGhkn4LhPcQRkEQREkQzvFpRUyIGaQqHmYXvFfDSIpiZgKzYoDYggBW4fuKGcpYexOYLzJDW8sOAht1l3np0UUQQWk5OPaMK7OVr/WyvSSKjjPve4k13y66Sr1bctxRV+vbFNEuALsAHL68WFnayFXqhaLWj/eqb8OFgrvYbDaxHC2bBtDJqTE3XaS1xqo+RdSVWUcWgTZWLJ8dctxFIrIEsCJiCtIQDwOcZEqzHuwD8CsAvjDojgiC0DtEoAmCIAhdYywXF6r+J9PsU6murztiVnxje268EceQ49QrnQXauYLWV8uOe5Oj1O1EdKCL5npq+lXQ+p4h131psdlsJTK+hX4JtIS01vPXpooAJu/cvoOIaI1dvyLqaizDnN418+j23fNDjvtodJvMvZwPmJHPGz79J5qO/sGA+yEIG4LB/0nmRwSaIAiCkIbzg+5Av/CMXdffREepJWFCwNmCdibKrnvIUeouAHelaSuPI2QUJcf5KDP/5WyjAQBHAbwK4F4AiwjSM1tmG7btuWlb/PC9UQCHoo6TFEHzrW2Jssud1iuirj67zVAYPDQIicPH4Oz22/l1w6ef1XT0yqA7IghCfkSgCYIgCF1T/eXnF4f+8RMfAtg76L70Gt+uXwTNMBtX6fmS4zxTdtw7tFJ3A7g7R5N9KZtTdt1P+czPLTabHwPQmifW1fzDNs4BOBGxjsI5c4kw4HW6L+5b21Xx9CwCzcbUBlju1oZgO4B/bfj092o6ulH6JAjrDkmhakEQBOEG5Qo2oUAL57z1jaYxlfMz06dOX7vmT9frR0uOs2VLsXS8F23nKXqdxIjrftS39rW67z+QsYnYiOBooTg7Wih+iNClcbZef6fmew+31t+9Y+cpRXSUiA522v/05MTuLvuRPoKGxAhaHYOrh7aazwD4LwH8X4PuiCAI+RCBJgiCIKRlYdAd6Ae+tT1PVVtsNidPXZs6f35mplTxvHsBtM9n6mWko28CjYicbcXi0Vng1brvd18yofv2twFYqpWniC60r2fAJszzqqLNTj+KLHXnuoigJbq8rDP/u+HT/5+mo1OD7oggDIq+pBOsMyLQBEEQhLRUkje5/rCWexIJma7XL35jYuKdt+dmtzetPQago0V84tA/Bdzn33MiKm4rFo9OM59pGnOkv8daLVzjUyAJqHVzKjnTHLREEd1VeuU6sgPA/wbgqUF3RBCE7IhAEwRBENKyGW5QriHLAD7cD/PN5oUz09feOTk5eZthvh1AN86LvaTvv+dEVBovlfZP1+t9FWkEWiGKmOPrxRFRLTnQBSDDObLJQc4stez6zd81fPp3NB39T4PuiCAMAnFxFARBEG5Erv9fvw6kiUJZZjtdr596f3Fxdq7ZuI2BwzP1+pVQnHV5PO7deeTeRP+SIKIt46XS/qla7W3f2khnxnzHWGm7zwkiSBE1bRcCjYFS2r50keLYVWH1HtNepH310nLQ/EnDZ5/XdPemjHYLwmZHBJogCIKQls0aQYsVOYa5OVGtfvNyZbGx6HlHEFjOL6GIUiUtWu6dQON1tHonoi07yuW5K5XsY/9Q9zAzG2YYBvvMMMxsG02/6Xn+VWa2zDD1ZrOii8V3FdFOIhpe3dbe4bHJ+Wb9GwpkNSmrlbaaAut+BshR2ipSXNSOf3T8CC14l6FAIAI7qtgcK2x3AYBAICIQCIoIBGDIVTNDDp0IvOFWnoXg/7oKqEvh/q1tCIACyAXgAKpBKI0C7FtUJgG7M9xGB9tBIbh+xbalJSZb5QsoaAsaoG6KtN8G4GcAfKmb6yEImwWCuDgKgiAINybX/69fBzpFWDxj5j6sVk5/UKmoujH3AHi4w64AAEepXpyXNwDUgu6sWBDzHADqjqJvLXdgZVcWvWbtymJlCAjEEQcbUCiUKHwNZlZorVvepvWeCo02CMzeqyffWgQ4eI+heUlssA6LQisEIqS1KATjjlBoLIkOB4EoafGp9r6/9eYH+wHgez5638vD5eIjq0/Yv/rkPxrbWhi5P/KMtmGsN3uxsrBkSDLsbPn6eHFv5DVleCcs6k9GrSe4rxLpBOMUOkWguwGC4uFXLBbv6aavIXnMX37E8Lnf13TXyznaEARhAIhAEwRBENKyKQUaBcKoVPf9K+8vLn7raq064ll7L4DHu9w/7XnptD0DWCNCumDaUWo8aqW1/HrV8z6Sod2o9t411h7sVXtdHTOiaLRDuuuxDBGtiDQaNsWobcM9knrlJWsotbh8fPUQsfM6w+/ZtYg7MIB/Y/jcg5ru2mhuk4LQN3pyq2zAiEATBEEQ0jKIeTd9Zde2kXcevfvA289+cHmvYT4CYE/aNjRRqt9U5o6pon7a44bEpjgqop7a8PvGXANwsJdtJmGt7fi906S6Tu8kqBWCzLPNjg6bK3ZJ6FbyUVVzZYPlXYzFWYC3Re3RQ+4B8N8D+Pl1OJYgCD1CBJogCIKQlo1mLZ6Jg3vGTj9y94Gpg3vGb3G0uhXAfsOceS6XViohGrMa7iTQUrsCjhbcE2H0LrLotaLe/t43m361l+11Q1QETaUQaOH8rSUYibXvYgUao5uJhLTC0ZOIblI8/KrFYs9rykXwU4bP/ZGmu86v0/EEYYAE80ivd0SgCYIgCGlpJm+y8VBE5vDNO08+cvfNC/u2b71TKTq6ahOXmaeJKDJVMIFUUaqIwsmpBVpBqYc6mWe0Qz2OoGnd2/a6wURE0BSptA6WPlrjn0RBnug2kGAMQ+8T6OCKHdieZHhVBCm15YT2e0ERwL82fO4Tmu7adNFvQdiMiEATBEEQ0nLdRNBcR9WO3br35IOH9/s7tw0fJaKkuT+ZxSel/E21zLuYeXXNniwD6AaAWIGmVs29yovrOlt62V43WNtZCxFR1wKtYebPA7iz9ZqRGDFNEGhJNvzqHQD7V75nZxiNSOOR3sGXAbwXFPq2ewD81wB+o//HFYTBIS6OgiAIwo3KhhZoQyV3+oE79p+97/Z9hS1DxXuI6NEUu2cXaOlF0MGmMaeKjnOs7b1UVv0AUPX98wDskOM8REQd0yxVyvlxSWildveyvW4wEQotlTnLKjXMSKwfl1Og6Q7t60cAmgJ4R8KxU8AM4AKAq4B1Ab4VwE3h0uLLhk/9qaZjl3t3XEEQ+oEINEEQBCEtGy7FsVh0Lu/cNfLWY3fesnj77u2fJqInMjaV57Ol/k1daDbqRWfFbqkjaDXfPAYAQ45zBRHmJoTeRtAAbJgIGjObbiUaQa2+Rg4zM1HULXdKqPkXK9AMgCNrWiQqKy5/3aIaOWcwGZ4E8CbAHsBbAL4NQWTwzpidtgD4VcOnPqfpWOobAYJwXUDi4igIgiDcmGyICNrQcOHCrt2jH27dUtqrtDoM4KahcuEEUdKgOpasLoqgDMWiLfNDVa/5tSG30Iry9WXgrAhp52kl4Ry4aeczs/OVsfmFapq6XpkxnaegYba5eHl7aev+jitXETFfrYmVddhW7NJd7zrueoZAEedGPwrQBMC7ktvhKQCXAJ4H2AV4HwIHzSQHyk58FsD3AfjDDPsKgrBOiEATBEEQ0jIogWa3bC2d2rVrdHZktHiIiA4DONy+ASdlnCWTp15UlijVdMlx7mh7necDRPY9zTytbiAivXXrcHnrluHqG2ff7WXTkdiIa/tL3/idRz9z8Pgzj+4+9mhUimcLgu603kdGgcaxl0tNR/aDqKi4fM6iGiHQ2APwGmCLAN8PoIfpkPgVw6f+StOxmR62KQgbBnFxFARBEG5E1i3FkYgaY+NDJ3fuGmmWy+7dRHRv3Pa2G9fzeDJH0BA9yI9jfL7ROLGtVO6FaUSkQOu1SQgAFFznPgBusei+32h4XUWw8qAj8pYYwJ+++8zxVybOvP0DR//zZlG7d0W1QZS2FEKSMye33xTwEaQ1+gAMA0MK9lrYRRsuJnxkBvYC9B7At4RtGQDfAGwd4HsApJk7mYY9AH4RwD/sU/uCIOREBJogCIKQlr5G0LRWczt2Dp/evmNEFwr6HiJ6uNt9FVHeEFpqm/s2sgg0WOZeWdZHikvK2LdOMLMBUEfwPWjetGf76bffu9JEIDxaIoWxUpi0v175nILXofwKr9+K68gAMDG7UAfRCeZAFFkGWWvx2aMPNraWhkqaFL344Yt4bO99zzpKt84phfXmFMBEKE8eGH50D0AEggaIwJ4NI4wqnHMWLqSZeZembVeW3yenbTvHos4WlVY/nXApAqgRCg8wEssRfA3gGYAXAXs3gPWqjfYPDJ/6PU3H/nqdjicI64K4OAqCIAg3Kj0XaFrRxMiwe354yKVdN409RkSPZ2nH1bm1juUgJOIhEBtea+EwOhIKFMOAaXtufWu9+XodgXZgC0YgJcJHa9irVeqODd5AKDRIETVKBfdEtd7UI0OluZHh0gvMrJhBzEyM8DF4rtreU0uPDAWwBvAOMxSDiRk62CZY37RGgeG06q8RoUmgJhGM8c25xfnqMSztAydsU4Ghgn1YMcNBEFUaxrK1/x630P/hxMXJaVycXJs1+Evf+dSrO4e3tAmbZmTioULpOaUKK0otMFEVwFCn7ZPGecSkIms04rIAACAASURBVI51gUD3xe8NAMYA9v7k7frCbxo+dY+mY7UBHV8Q+oKYhAiCIAibhu//8x90ANwaLlsRRAKKCH4r6gCqAKo7xkfGpqYXcx/PddQ7o8PuxXLJ2REWjd4FYC5PUeWLc3ONDyqLp0IRohGIjeA5oNufd1oavr+Dg5uwhXDpGmaerze9SHdD3/PPV+ZrHV325irBGLnSaD4712xkEqdpCTLzAnlhmSc8z3R0gNzoTCzMV3cOd20q2clpJEdaa5QhjZrttoHsx87NbQD+GYCfGGAfBEHogAg0QRAEocWXAXwpaaPbDu44kVWgFQvqzOhwYbJU1DcT0SEEYrCdXGYWnrVFYnUsecu+EG9Q0dU8sNxz6DJBROtum98rrizO2aOra0FHwOg4STGPMUzH60VQpS73H7Td/T8xfOrfazr22oD7IQg9I7JqxnWECDRBEAShxWg3G2lHpbEe98sl5+TosLtYcNVhIlpTF2oVeSzye+HimMcAJX6eVxdOijy4iEp5QMfNTa2ZJuO24/ejHxG01TceovZPXfeux2gA/8bwqUc0HctjkCMIQg8RgSYIgiC0GOlmo2LBiY0EEaE6VHbeGB0qGMehY0T0QIo+FJg58x3QvPKMiJpZRV7Y5wYihBp195ubS6DmoKtrvxGperlNRfMIk07puB8SaG+X+w86ggYAH0EQOf+FQXdEEPJCICix2RcEQRA2EZXkTQCt1RqBphRNjww5Z4eH3IJWdA8RZbUIJwRmHJnmoQ24DhoQzNXrHEmjLpwUeWACrWcuj+tN1WumOGcdA1Y5nDs7zpe8BOB6EmgA8NOGT/0HTcfeHHRHBEEQgSYIgiAs01XhWgrTuhxNl0eG3beGyu5WRbiHiJ7oUT98ZBZo+QQO5YumADEpkoSu5qD1ynI/LT0tZL2eVJuNFNecO22b+ZoTSK9VWCqNK+JGEWglBK6O367p2EbpkyBkQlwcBUEQhM1EVwMzz/P4pt3D55WiOwHc1PNOMDzqJtrUcd+OA/A05KmDBsTNYeviM/GAUhyJSAWHv/5yg2opImjcWQDniZquGUcRVEfL/s5sqNP9SQB/H8BvDbojgnCjM6hUCkEQBGHj0ZVA841VoTjrUy+4nn3XfBEootymDXETopIjaDzQG6e5J3MNgj84+bX7Fhv1M91t3fH7kSfFscP1Ujdnb2/g/K+GT12X5RYEAQBAwXzgfi3rhUTQBEEQhBbj3WxE1N/b/sycWShwxtTINhaY+fmgqSXB2v6oGdhFwBWsjTgRglpuHQl/3GuId0wc3O8yoQm+/uaiVb3m0N/7978x9EdP/eMutu5tiiPWpq1OAUgjcNY7hNYqwO4jLLwePhoAFiAfwE8B+G/XuV+CILQhAk0QBEFosXjL6JYLT9y0/8PfO3fmyaiNwnS4vsGcfcDMzHl/14YYSJxLx8DhiFWnEnZtIl6gDSyzhUAeb5gpUd3DzLg0e61LUcQA8CYCtxALwHqmNmHROAmwBdgy2IKZOXjNRTVulr/y3BLuYZlvuwDo94HAPY5BPkG5oe6iVYsKHkm1njN784z6yeV1UO3PLVffZTRub3tfObT7LFHxvrBD8wDGEIznWmmq7ehwnUMgQhDFTYrk/iPLF/5C0eH/2N05FYSNQ/BHtKFShzMhAk0QBEHAxcWv3Pblj33iFq3UYWa+/ffORWeMUWTtpx7BnFmg2fwCLS9JfU+KDg4yguZvRH323rdmnqkuerehTWyEz10A7s7R0ZMf/NqXP9Jlcw5At7e/seC9VbFo3hu1g1soTSs4EdFldUJTOfJmRiLMFQCRxwYwAeBg+xs+T2x1cfMUEd0CYEfmY8fza5Yv/I2iw3N9al8QhBgG/UMmCIIgDICLi18hAPcD+Fy4HNNh/WkiUhSECjrehux7imOOlDPmLuZ5xUD5U86S5jMlCbRc/c8DAWYD6jMY32rEmNHs2rolhWtiBwFPsHHClJE95TaZpEkt1KFnPOzz1fcd7G5SF8XPM7IPwJcB/GCf2heEviEujoIgCMJ1w8XFr2gE6XstUXZL1LaOUk3P2o7zkZRWfZ2nxDbPgDh3BC3vT3uSuExyDByYQAORt3Fc35chFW/cMjm/EJcyugIGrzm/BBVvDMPWG1zGVOfPzmjcabHwjMaW4308eM8dWgVB6A4RaIIgCJuYi4tfGQLwHQD+FoDPoMuUKE3keRHFix1Hb+ldD9fCzJltz5nzmYTknV9HgE2QOEmfbWD1yHpQA64v3HLH2MPnvznpIUK8VhqNrgUaOo574gUgI+77yLmkGxEoobZ65FrDM8cVRi4Qqaj5kHn5qT61Kwh9ZT3dFvuFCDRBEIRNyMXFrxwH8E8QiLM0A1gAQQQNpnO2nqP1WL7excM2+xw0dIiQpCSfC2RCulwX87wGVzCaaEMKNKWoBGAREQItXe27tRFWgkrQ1Hm+j0kk3RBIGmhyo2ddWckfKTr8ep/aFgQhARFogiAIm5MDAL43686u0s2oYI9vzAyAnVnbToJzmIRw/jpiOfcnG5cmSICfoAYGaXO/IQVaSGTaa7radbxGACelODJs3HnJaZiTGLFNyjnNW7cv6pj/tA/tCkLfIQBKImiCIAjCBqWaZ2dFFGl24WjV7xTHzINOzjmHi/LPAYsbUPsANZjtIlbWomrVo7IAPGa+ox8pOo7W51xHXwMAUNBPApa8YKq6ttX4OWo295ceGXVwac1bRLFXLeGGQV5H0ySTkKT9e3bBmPnDuqm8NdecMLPNiTuAl84cGXtq401KFIQbABFogiAIm5Nc0ZCCVpHzbpRSRQAVAMN5jhGFtdkFGnhthCQNROTuHh7+GgBSIAUCEUgRQYWPmoIZDpqINABNgCIiTYBm8BEFmkHw2iEihwCXAsXl/PX7p6nh+SNxfRgaLUfOt8pDueReLbhupCW86+hvNBuZp//1F4IXJaIsc5q01DURyqQUR4aNE0GZBRozgzl+f0JSCC3HzQzmus/NNxa8mdpcY+Lmhq3eCmBvuPpJAP/pzMzTP3Jk7KlzWY8hCINgYMUke4gINEEQhM3J1jw7BymOsSygTwKNOcE2IW5fYCjPsQkojJXKj+ZpIw6lVDfCuYE+CLSks0oxUdNBE5ca6huTIi10rYB3VbFuWT+zXGOBKPwfASDGrG3ahZcIbrOoDpUBKIvqTsAeAEDM5hSCuYsawdhQLy+8yGiMY7l2W3sdNw2YnOMwTnXNmHm6YapnZ5pXCvPNa/cw7MMxm38ngDfOzDz9rwD88yNjT83n6qogCF0jAk0QBEFYQ1Hr2FAKAc1+5T6xzS7QAGhm9ogok8DhPs8BU93Nl+pL3a1EgZZgZz9gIr+PNl3UdM33wlGqRFSIsatnIPB2mSJSgQsqU6uSuwPgWMye8wDiUoITon+Jua6JfyvMbH1uvjZVv2znmpMPAvxE0j5tOAjMhv6rMzNP/wSA//PI2FMb+Xsi3PCQuDgKgiAIG5Zc7m5lx4kXCUTNxBF/RnIE0FpUkT2CuHaOUg/pUgT1qTByvCV83LzDQUNEJup7Ya1Ndc2YeVWB524TomzbPkuOl0njqFjBzwzNsFcQzCXjMCJmg+cwnm1WPG6eA8Ny8AdnOdjOMoM1LVzTVH6FwQHh7Q0Gs6OUMVw1k7VLd/rcfKjLDxnFbgD/DsAPnpl5+otHxp56JWd7giDEIAJNEARhc5JrkO+oeGc7Ivh90mdgzl0WuIbsAq2vETStqJuz1q8IWux5HUQEjQBWSnnMzJa5ZZbiEeBTYPtviGBGh4uT9bpPSpFRiowislqRUUrZoqN9QqE1XSv8DGQBYoQmKG2pi0AghjTCFEaHds05tP2FcL0KqiiRCtaTCt6DAkgDOBL2u5VymTT/LTa6R2Qdy5U9UesNN65M1Gbuilr/1tx71Xfm5zuKLwLM8X03MRH1cqz3UQAvn5l5+rcA/I9Hxp6a6GHbgpAbInFxFARBEDYuuSJoSQItiCD0TaHlneNdz7FvrjlsSWwdGbLVevMkARZElogsESyBmAjMipgU1YnoQwQnuH1Bm99gcH1o6TURyGwZKqlQjLTeXMIyzwB4pq077aMYKg0Vp8cL+vngfaLAIAWBUCGQ79lFImzFsmBprdcMmNnJuSNRn/vwnp2v/2cfOXIIy3O0HAQmKgpAQROdKDo60sAEwK0x6xCUSuuaBtqEuCL3OcB9PE0DQCvauLau2oqtQMTBtYr6TieMw+JHmoRowc/BdblEwM3xx0gNAfgHAP72mZmn/ymAXzsy9tQGdZcRhMEQmki9AuAyM3+GiG4F8PsAxgG8BuDvMnPkzTgRaIIgCJuTVFEYZm6N9BkAWd/WPM+/BiINZp+DHCrDYMMMUyo605bxNhEsEIoMansM3uNAhICJiNve4+X3ACJiImIEdz7ZMC8YAK6jL4yUih8CoZIgWlYUtPQqGMEGL4hAGHLdiqv1hxQ6MCIcHLe9DoRF6MwIQLW/ZuZD/ZrDcPTQ/uNHD+2PXH/6ypWve8Z+MmPzU8Ol4o6olZ6xL/jWRgoR13WetYTI+UlscQ5A52gOc+wA3TITEeUyromDmRtE1G30c/XYJ8sNgdYNjG7GUU1Eps5SbASOEgSapviILPctXRZAEKX+ZQA/cGbm6R8+MvbUX/fxWILQNWpjBNB+BMBZLM9B/TKAX2Lm3yei30Bwk+PXo3YWgSYIgrAJ+V9eflFXPO9dbkU4AityDUBx8G8/ITBMaHOcA8L38c1T7zi1enN7VPtHj94yUSg4h/rRd9+Yr03OLaLoOlNDxUJcVKUjo8XiuYLWkWlhGxlCrjTDhGhLohBJColGOlAmmbL4Jt6tsAex2BVRsThorShKLdAIpSOE0iwAw6glbe4hem5j/DiMEq5pgkADs0n2GcnNUQB/dWbm6T8E8GNHxp56r98HFIQ4Ev5s+n98ov0AvgfAzwH4Ulhm5dsAfD7c5LcB/DOIQBMEQbixmG82LYCDWfdXCfORrLW56qzFEaaGgDOmOiYUFt7Q5LS6jz9fFD9fKnGwn1AU+Ye/6+MfukqVw360WclDEVGk0+FS7/LRbaSIOxwrvUAjGgUAZq50sXlMdDExghbbt6RIAfewkHUX/G0A33Nm5ul/AeAXj4w9lahcBeE6ZAcRtZvk/CYz/+aqbX4ZwI8DGA1fbwcw2/bb9D6Am+IOIgJNEARhc5JnHhZUwhw0a9PVX0oDEanx0eETrlaZHBUN82Kv+7RedGnDH0VSaYG8c/uShO8oEcUW4Y4m3mEycW9wo8u75gZrxz6px0Kho6QfuidWwnb98HHFwuCh6JTZ+MhjUtQzbg5ayHo7c5YB/DSAv39m5ukvAfiTI2NP9asihyCsgdD3FMcpZo50RSWizwCYYOZXiegTbd1aTezfhQg0QRCEzUkuk5AkmLlvjn+KyCkX3NSpjeG+MyOFQiNfKbXrltgUP0r4ze9iTBN7zY21HnSSqWFn8jp3MqIn269izTlg9rVF9T0EYqY1Z7EV/XNWPW8tCoDDzCOMhdiC7YTS5ZizmyCqkyJo8aeNE65ZHzkI4D8A+MtwftrZAfVDENabJwB8LxF9N4LU5i0IImrbiMgJo2j7AXwQ14gINEEQhM1JLoGmtYo3H+hBsbIYMhWZBoDdwyOntVKwZl0DB00EaWxNAD4FkRSL1mOQtmgBWAof0fnuqdVKzSilTlDLhDGwSHcQiAfr+2YUwL0R/XCZOa5Ia5J6ShJJsSfVJhiFJJArusfMfrcSj8E1ApXb3tIAbsl46G6+q3EpjrkiaIkpjn28kdIlnwJw8szM078C4KePjD01N+D+CDcAg7TZZ+afBPCTABBG0H6Mmb9ARH+AIA349wH8PQD/Ma4dEWiCIAibk7wCLXZ9f/VZopBYAwHV3SMjrxQd57i19i8JeD5sp4DlWlSrbevtqtcAoBytFxTRdixHS1rRE3fVUggFVOsYsZGUbigUnHmf+ONR633fnElowkfkb3t8PSxKtq6MHez7doACDamOPYcgFa9FnrFQF8YksXMi4wUeJaQ4JkfQNkLxcQfAjwL4wpmZp/8HAL99ZOypQQtHQVhvfgLA7xPRzwJ4HcC/jdtYBJogCMLmJJdASxr42f7mEMYW912Ft7VYenlbqXQbER1v7U9EkXbxSRBwmoiOZt0/D25i/bn468pAMyqVkfJH0JJTHLOTLTcyxKYzhlk1PzN7IecgZSm2zhkQP3cvqQ5a7HlRCZdsA0TQ2tkF4LcA/OCZmae/eGTsqZcH3SFhczJoF8cWzPw3AP4mfP42gEe63VcEmiAIwuYkl0BTCTkifZ7ilZg2pokmx8tDZ4Zc90gHMZa3dwNzgVTxU45AhFrsuWf2Im3VKfE3P35UQ+C4M+tzdoHGuVMcU7mKrhYtOcdCNA1wZP25Dsdb3pMI4OioZ5KoTop6cg8qGLTSZsOouQlrq3kM9pnhITBL8ZkDo5TwueXAIMWAYRlsGbDB+8wM/MsTH/z6C01rf/Y79v/QdWvqIwj9QgSaIAjC5iSfQEsQCn1OcYyMoA257mtjpbLnKPUgEWUyEklikGlhye5jZOLG3Bw73ynRJCRXnTSTL8Ux13jEsk1zzVYJphXzwFpzB9uXNc6M4WIB1AA4AF0JXlPbHEOyAJhQmCU4cwgcF8NjU5hWS7hWW/QNrEZYLJ4RSBgLhmd8M+/VpxjLRioMptbzb83OzE7Vai8iENfE4SMAAjOdn525trtc/gbAxCsNUBQAQ0RVy7wVQFETfWCZRzkwMKhRkAoKBg4FD0t1E8tYmSKalY8D+EMAryRtKAjdsg4ujuuCCDRBEITNSc4Ux/hoSp8F2op5PYpoeqxUfmOkULiViB7o54FDBibQkiIiRIhNLg0jGlEkpY6uiNYoIquJfEXKaCLfcVzPWlzTiqwmZbRSxiEySinrkLL7hndM7iyPnldEVkFZRcFCRKxIWaDGipRVIA7eI6tIsSJiz/gLlyoT9yX0LxKTSqDZGUBNIRAcDoAdCiM+AIeIFFbOW0xE02jyRjGcmflwumkb41n2rfj+s4b5saj1DeO/YMH3R61v/zs2zDe3rdrCwO4sfUrJ2DocQxCuO0SgCYIgbE5yCTTHifdLtzZb3Spm/gDAFQB3ElGUqUYBAEqOc2a8XJ5xlX44ZbQs1/1Th2jeUeoCBREGg9B9kQJHRktB0a7Waw5fB8EPIh5xHRCIicJQRqh2KZRfFOgwCkMdqvU2AWpIq+pUtRrZt6M7dzU/c+jwNxURaVJKK1KaFGki5Silz89PzGiiethmK2JCAJRDavHh3fsofE+tXu8qx464ZQ+ADoVKS6y0+Pa48zbiHJ1X5NwZtb5pL3mISF/1rTl3qTIR13wshk2auVYlAEspicneKP1Fk15dIuAslk1s7ES1aj1rmZnZMpjBlhmwYHu1Wp25Wqm8xAC7Whcavl/n0GKVmXlvuTzjGfNMW9tLksxRar8iuq0fn4mDaKBlhs9gwwwT9tsw2NhW2iNjSz+OL9zAEA3UxbFXiEATBEG4jtj5k0+2Bs7t7oKrnzsAnE99/Mib4eBzyeadl23e2x0MLYMteOk1uwVnrlgqPBeqCCYQiIKULCKwU9AzzHwioputX0eFoEEHwDiAmwHsC5evh/VgaPUyPbM49eCtN9+ulTqS6SRRQn5mAjvK5XJB68MZd7fjpWLm44+VSs/HrT+4baz46L79kZGm9yrTb1vwrZ3WEaGiokUxiKhEFG/7Hk9S8XJqANyx/aQabUmkE2ipDEX6joU5CeAClv8GPta+/oUPPnyPI8oAzNXrz8826h+NattR9Jxh/lindcbaE0rrWIE2Ua2defGDD4fa0iMVAMXLaZKtmnB61dK6EZAUidz+uUMJWwjCDYgINEEQrmsKX3z8ZgDTzV95odL2Xmug07JZdwEMISgY2XqvhJWCRq96VAB4uKR9ramMtRbrS1br4eK0HauA5Xkahbb33YhtV1u4t/rwEhE9sqqPXd8anKnXq1qroW63b6cwUsStd+yNXO8QPcPA8cgNknm4/QUz89WJuZcvXpwaMsZ++sFbb848iM472M9Z3FcxM3dhWd8RnSAum8bE5pYSwYuaKWaZYwfLDM7lpNiFQPMip7HlEoaAb1NF0DaUQGsa7zCCws5RRH6fKcGG38S4ONZ83y56/luW2YRRLjbMxjAby2yYGdfq9YrN93eexLY+ti3coAw6Kt4LRKAJgnDdUfji44cA/C0AfwfAQwBM4YuP17EsfICcaW4tGDgH4K5etJUBF8BI1p2t5abWyCTQ1otm05+6eGnq9NTU/G3MeLT1vrW2oZXK+huVa7DfgyLcdWQ0UVAJAm2hGZ+5SjEiiJPOC+ezumckzQOj1al8y2tyWN0DgM9+mmuWx8yk5xDBj/vGaaJ5n/mmjvsi/vtibHTD7y9WSudnZvuS4piC0oCPLwgbEhFogiBseMKI2L0APhcu967aRKMHRYI7wuz3SOtlOnqena21jZzlpfrG7Gzl1DvvTizU697DANbML/ONbbhO5muaU2jktiZvIrtAi+37+4sLsQNaIvLjes/MDSLqWFyZwTnHBEk1tyhSGFFOUe2ncvhPl+LIbKuMxnkAJpxdFaYIc2i62Cavlv3oOVjP4feptcnSIwXOikzUNh+uE0TkRdW1SIqg+Ryt0NzsN0B6SZqah4KQSCu39npnI/xxCoIgRFL44uM/A+DzCKye1x0ebDpUToGWy/Y8Fs6pWt9884rn+SbSfc4YGxlt6YJcfetBBC1z35ME2rVatWMkZWn/ZAfKBla5ZLaRSyQFBbOiVxMoLsyVa6DuWT/NNV/TDc9ePQfwCJbnULltjy6Aj2RruRvodOzawKim87rECFqsZu5vNcPuEIEmCB0QgSYIwkbnv8CAxBkAMG+s+SppMMbW+9h8rigVqehBJwAYm0ug5bqBGutj3x3ZBVrCeTXMO1qFgzsRN5hP6hvnnrsXrwbiImjIHUFLI9A6XV/eCWB7nj5khYhMnFSKFd0U/32Jy51sGrMR/m0TgSb0HHFxFARB6D8XAdwxwOMPrCZWXozfP4G2ej7T5NT8q5cuXfMBJiKyw8PFRqXSKHieGQlEAxMYrWK5ZIyNvaa+sXkGj3lTHPOSWaBRQgQNQKlu/GrZcTvOLVRESWYZ0SKJOzssdk/SmaO4a5ozgublzWoa2Lw0Svg3hmKuqUL89yUuglYXgSYIGxYRaIIgbHT+HAn1l/pJTke/gWJsLpETD/OKuVDVaqPWaHhLdt71er7xbs4Ux1yDdeZsNd7ayCzquxBoQaGDCJIEGgNe1M6JJiIJMGIcKQAAMal6OV0cPevlnWw5MIGmYs4LEH9NKSGCZmK+ywvNDeGVEpVuKwiZERdHQRCE/vPKIA/OnGQd3lfyperZ/vXd80xhcmL+RWstNxu+Pzk1H+3Jn4GcEbRcv202vytM5pFvN2YZPlsPESYkCokCLUb4xtvwJ5MYQUsSIs2kUgBReNZPI9A6/V0NLoJGKuEmUPR5bblftqZNtjxKRlx34uDWre/eNT6+a0VLzNO1pvc+A7zYbHrG2rfCm1AGoeEJt56HS1ATmw0AVkQjICrQchkTzUCjacxlBMWp23tNobkJtb3XOvdBDXdgPvEECcINiAg0QRA2OlcGfPxBTqTPJRSsSbI9z06l2vDee28y0uQjL36+vue12c9nMgKkcqxoh7pIz5xvNOZG3MKWTutU0mCf2Y8KwHFOy3NO+FNJMAmBgmpamEwCzbe+ZuY6AqHVEhwewkLsCEofeACYQIsgvIHlAu5MKM8BuEaBwGWALEAMWnqOcN+lT9P682T4yvLCx7P0GwDeuro493+ffe2CZVbhQtaytsxkmVXV82+xbCcYUMxQAGtmKAZrpZQdGRv2EIznCIEJjDft+WPztfo8++atMadw1TLDWsZLb1/ae/Ha7L0A8OC9t00T0XjWfq/i9oz77QHwoz3qgyCIi6MgCMI60U+ji0Q4adTZX3KlbVmbZHueHd83fb0uJt/8mFxpU8yc9/c9U9+Z2UOQzlbB2rIRprXM1uvX9o2MbsWyEGkJDVvSbp1Qv0iBuLAAbCg6LIEsQ18hkA8QUyhOwmMygWyQMUdhBIWYwsfgNXwAOhB4FKrYZaECNjPM3om2NxSw5PhJDDVNKL0IQCFwH1QAKEzZpO++5RMgKE1EOhCqpAlQRORY5ilNxX20XNR9yWGRgtpxD4TZyIkik8HThMI97e85atsZAEcidjGI+Vtktm9YLCQdNpJKwx++ODN3ONPOxGWsvCFRDBf4zLe/fPnDq9c+nH1i9W6lonuJiG7OdMzecusXvvpDt/7up3/1nUF3RBA2EiLQBEHY6MRX5u0/gxRoOVMck1z1suN5pq8pYa0IGjP7CISBDR9bgqT1nlm9ELB408jwVUXKKoJRRKyJLBGxArGi5UUTsSIwEYFA0ETsWTM302ieaOvOirAJLasS1fa4tNQ8b1JrfQbMrRQwjeD3VgNwQrfE1tKycUf4eOj77rwTNvjcRIAO51O07N9x/657UXKKHSNox/cd+RZR4UDUebVcaQA4Fn3mjYeICCSDzwJ8d9SeBOcZRvN41HpFzkuA/mjU+mLM7QhFOADgJQJF7p+CTkeKE9VJN0py3UgpaJ397zTB2CWqTtq2rcOXAGwEgQYAnwQgAk3oGTIHTRAEof8MVKDld1xvb4uBUFwwownAY4YB2GeGB8CAYRjwwWyLrjs3NjzyTUVktVJWK2UVKXaUto5SrJRiV2nWSrOrNWul4CjNrnZQ0A7fdmBPrTxaOKFJwSEFrTScYCGXNLRSylEamjQ5Klhc0spRmhCoECooVzlKK02KtFJKkyIC4a/ffX32L0ZfOUMgIoICERGRCiIeSz4WFEZAFIINNQEKS9uRCgeQKoyC6OA10Z6RYb/p+8CykOkah6h6fP/+ji6H3dA05pW5ycmHapVcPwAAIABJREFUsu5vga8Rc1Q0pisUUeRnJoouMMxIyoslk3DPoY7oFNEEIZKYGprzhoFN7kJ3dBIt3ZQniEi/zGdw4mon878ynOiC2LlO2vBQaUM4hIR8G4DfGnQnBGEjIQJNEISNzlIqXShwGggGS8FjIGx8bo+icCvliy0AG0xyD9O52hcG84rRKrceliImBpj16v4zAIgZxMwFBjQYCsFoUTEvRUdakZLWaxdrIyWt7RLT8LYPl7zzX/7N+1Ker3XhvYWrC9umhnOJkDgoSKvLRFajieVj51YBfXX+VEQxny9RJCUJkbhIUpIQSTp2ztsdqkfzpbjT9c0h0HJH0LKfF44fx0W5PI4MlUYzH7P3fNsXvvpD9Luf/tWNUDhbuN4hkjpogiAI/cb4tmEN1xAMjlrCpghgXQYYbPkZC0SmbfUTz/g561L1j11D23IZSiTBOQbzNudvG8VEr7rvQv+giKhIl2Svk5Yg0BhQCcOiPOelRqBs87TW0un6Zi7wjZymNAWd/evGSc6bq8o2KEXV8W2jpxxHH8180N6zF8CdAM4NuiOCsFHYDEYngiBsYsyvv8RImKTfZwb276RnzcYVaOVtI/1snzlfcmme8gh5I2h5xGU3WI6rEZdocJJHoCUpiaRj5zkvvTynna5v0nnpm0Bz80XQYgUarbomBdeZOnjzrkeIaLUJzaD5tkF3QNgcUJ+X9UIEmiAI1wOLAztyxCT79cA3dsMWcS07xQ0bQQvJPsdmg0fQLHPMZ0tKcYyvk4b485aQOpooDvNc017eoOnUj6S+5RGusRSipxR2Q/zOq1IcmXmjZk6JQBN6BhH1bVkvRKAJgnA9UB3gsQcVuYO1Nmfh4P4x5BQ7FkruFZzfnqWWdUdKFCKDhRFbPiGvSMqc4oj+/q308mZFp1FWH4VrPK7Od9o4VrCvvNlgE1wfB8gnv/DVH5IxqSCEyB+DIAjXA4OLoA1wrq5lm9mJsN+UnEJ/I2g55Zllnsu6L+VMWUOfUxzjxWvuKFacEEkSSQnHznf3mcF5auO10+lzJJ2XPOYpsbg55qCFRF6z1em6bDesQBsHsCENkYTrDwXq27J+n0EQBGHjM8gI2sAGNAz0NUqVh4Jy+pp+mbc+uGHO853JFRHJOX2ui/bjTk5SCluiO2bk3D1CnHskgP7fzMgcFV1Fp88xMIFW0DrvqC9aVNPKa6K1GuS/pUl8+6A7IAgbhY2aiywIgtBOZYDHHuQdZ7fp+6bgOANLs4zCUbqAbspuZYQ5X7uWOU/9vA079w+IT3Hk/GmG3djwR4wdEqMzeb8rvYqgdbrxkV24Ejl57ifkTXFEfNRzReNE5M/OVU5wOMuzXCoUSqXCY3k70CM+CeBfDroTwvXPJnDZF4EmCMJ1wSBTHAc6H2mxXquMj4xuGWQfOhFOlu6fQEuu5xWLZ20jRw5m3mve1+GBb02MUOlY46uNpK6Rn6BVGogeOySNKQhB4waB2DKrFh/BXLDV62z4eEtC+93SSaDtA/BS2EcVsZzFch1DHb7Xqnm4DRmFfclx835f4hwmV3yX6w3vwJvvfnig9XrH+OjXD968O+fhe8bxL3z1h9zf/fSvbqQi2oIwEESgCYJwPTDItJzBCrRGvbYRBVqYxte3NPm8ETRjc9jsE3Wr7VpiwkOb6HCVahLofQIMEXyAbPB8xSMTyC49J7KKyBKIPWsKANB6n0BMBCYQEwiK4gbkrAA+ET5f+9lAMwz97NLL4H9LDtIMZ5pAX8OSUKFVgsVWCWo0fK0B0svPeR5wrmCliFkq3k4gUqQJy8XbU2G5Op92nwiGmHm1I9sd4ZKVBWQUaK7Sef+O4iKLsefZ2sQ5i3lpEFAlopoiVXdINRylm47SfkE5XlG7puS4tqRdW3IKeGj37R8B8HKf+yRsYgiQQtWCIAjrxCBTHAea7lbzmgO7m9w0ftOwaTIzW2brWb/pWd9jMBtrDTNrBCKltXD769Aqn1esD5Qd8/L2S8vS9gww8/SQ4zxPBBuKEiYQaPkR7Y+KQEQUKAoiWmg2ZlxNzzNAYCgO9I7iQEwQM1Tb6+CRoTmIQOnj+25mR+uiImgCaUXkEJGjAIeIHAI0ESkEAn6FiHfIKe8s7djfr+uiqPhM9Fp2Aftk1Foi9SxBfTxyPfSLAD0avZ6vANgTuRoUtQ7IL+jjIkVpUAii8r2s5deK/nnh89Zigve0CUscGAIZgMLoINmCLs4ev/Xga4qIHa2sJsWKiLUidpTimUbN96zVWhErIlaB3TcrIjhKcbFYrBQd511NCkoRKRDCdaQAVPbWiVlXxsq7RhylSRORIgWtFI2Wy9g9tu0bI26pWPOb3itX35x5b2HKYWYUtNPqC8JjoqhcHi2UMVIoqS1u2Rl2S86QW3TLTsEtO4Vi2SkUy7pQLjmFclE7Q4pUEcG/oWNdnsdPQQSaIIhAEwThumCQKY5x0RRGMCBron1QRjAEeAAZIpjwtSEiA0IQNVn16DjKlMouymXXBYCpyUVbrXh3LNZreeZS5eJnX/7tVy5Xph7vtI6ZMbVY6VuK480jwy/dv2vHR7PuT4SXq77/SNb9R4qFiiaVqZhv3vTMrg4RTd55YP00y+hnpCglXAGoXaB9Hctpi62lPZWxgOV0RgdrooOlOhGPIRAjq27q6Lc0bbktqie3jhcXf+KTxx+IWv9BZf7ZiwtzHf8OAeD+HfsubCmUDkd/VkBT4eJY8fYDcdsAwAO7DiVt0m++DcDPD7oTwvUNrWtJ6f4gAk0QhA1Puaw/sIafAxETAKJgEKlU4EhHtDQnChRGUv5/9t48Wo4rv+/7/m5Vv9dvwQ4QGwGCIMCd4AYSHJIAhhN7Zk5ypJE0khI7SixFSZzFUZTo6FhJ7OT4eDljHzs5VmSPj2JFlnRGjpXYGvloGc+IM3zYSBAA950g8QgQ+/L297q7qu4vf1TV6+pGd1V33aqu7sffh1NT1bXcW1VdD32/9duIwtXkG1oinynImBvsavkviEmRn53XCpYt8ou88vo71iySgk1EJUVkk6ISEUrkd3qbBSULtm5fDWYGl/T1rNvulJKy4xIjAL7raSoRk4SjtWnmBKPjmbkKSn1tOSd1idVQncSBpW4c8SIp6e+gXyxordqqAng+bWNE5LW/dYmZNWO/E5WQeVNzsjuvZq/v3KTb8Jzmj8qK7q0UfSKCUCQi0ARB6Hu2bxkrwWDwZMrQsKUDd7aeQkRYcCsZWg26o2TZSYP1CnISaK7WpvfbSCRpTi8GAtfP3GDEBegZZ1I0KdicNKYwvS9Zuvs2/10ZvnKn1MKVEP9vi6JEgZb4b4RFQ9fgJzLpd8oAngHwUsHnIQwwKyAETeqgCYIwEBQZgwbm4pKUzNeWCotBG7ZKSQItt/viGlrQTNPNa2YTa02RZRGSrFhJ55Y63TyS4zVN70uWLo7Nf1c5ul8mWtBi7wsljDaTLGiKSpctGsoqwUov+ErRJyAIRSMWNEEQBoFCBRqYK03xKj1j3inOgjZkxRtjCFjIqySzq7Xp75PR8Xz7AL6bY/N2cYwZsXOSSEoQIolhhSYujqbfaerMnBFcwsg0gDvgx7aGGSXztKDFXncHFrTYnpME2rqhPWuIaGtsI/3FVwD8r0WfhDCYEPwYhkFHLGiCIAwCBVvQuLB4iIVaJYtBaSrKVvx4WxEt5dV3BgLNqMC45vQCDbm//IxNQmJqxTKxoAGIdbfrBwuaDWAjEa2Fn8WxjHrSDxPiLGjxf0gUb0FLGmxq1kluqYW95EnJAc0fFfJCTBD6BRFogiAMAkULtCyTE3TFXG0pafCVG8NWfAFdIsrN/dLV2khgMSfGYsXSSVxPTO95e6fEfS95x4El3Ze4v5XYc2PwZwx9nMFX2+yS1cuKVu0Y3heKOzejGDRK8HHUSEwS0gs36TMAbmTUlo0CY46FASdIGpbX1CvExVEQhEGg6Bi0wlLdLzhFCrShJIHWz2/mjX7fNPMUgEkENdwIfsHpyOdgmRgUfiYGwBapeQCxac+NYI7NIs3MVSJqZ0kz/d1Peh5rAEbT9c0XAH4ewBGANgNBUbx6EfCsnrdqi3M0emFNIC/G9Jj0siD2vqiEMaEXVI1vBUHNAcgzg+MUYL0D2AcBXAecCUDfB79W3k3497oG0AXAKgFqHeovGKhpOTp/FsD3cjxvQehrRKAJgjAIFCvQtJG7mxELteKyTZetUnxsTPJgPTWO1qalC4wKjK8urRrdOrJ2V8rDL5r0nUyiha6K9tdvakEzsdZ0WCeN9zC86wDWo15vzAKUlc0jpz8HrGYB3YnwvA7/+jT8++CFywy6DqjX/M8ULdruF2FnL2yfG+cMzbXFEWvNNSwbywjwK4bA93/09N414386pMpriYjUcu0QRQRS64ZHrbJdOkOB7cCfmDU7VQbmiIa2Y3nbcpAh+4lSaBTAKEBD/vXwPMBzAC8BugboEQAPorGotwbwNmDNAfYTRBQWPt8EDB2Gf8GzADZELA67Eu5vM/8BJA5NSMlKyOIoAk0QhEEgt1inTmCzeCQj5mpLhf3UDCUJNKU0vHxC5GqeN2JyPBvWptOsTS7MyL0ymUT3zTg3w07ObRF1ARKdNIB5gCdRFyk6sswAzQL4HBFxElmuMPSl4LOL28XKXPB5W+vTshngY6hbXlQwFAsLS4fL0QLTy0WnCbQA0BqANrZo/HH4L4KWgnML2wnj08YBbG93wwhqERhqW2w6rmoDEX+6Znhr2wrRq4aATaN0VKHctlh1DFNE1rrOd/ctl1H8GFzvOHxXSgXYDxDRo7GtEJla7R5nnF9P2HnLsB1BGEhEoAmCMAgU6krHHRSCzYsFp1KYQBu2huKTFyTUZzLB1YnZCJNYFnjB9+dGJq/FfNkaAkC72pvSrN/y13HUIhIVHr51BBwuI5h7gPd+/VQablN40yhYT82TReO3bBof9z9TsA9F9qFphfGTaBQlwUREsBYBuo5GkRIu34Jfuy4UMXZkuQRAkW9VaQnDOwvoXe22AzSJWGtJ7CNzKm4jET1plmxRXSRQO5FF8O9L2rp+Jqa9TsZiaS/c+GUBEZUB+znTdrrtFsAhAN/tcb/CCmAlZHEUgSYIwiAwVWTnRQq0ilvrOjZGs4arPcfV2nW15zie67ja82ranzue59U8x3W151U9x3M813O0p2ue49U8Vzva45rn6snZyzfnqtUT7LtD+YEuvhphgKGUmhqyrIlo4PTyEi2HSRE1/n+wEPHlAihYQcE+ShHpa0uVEsDEDMWByGBmxYBiwAbYYvbFxfI6ZpuB0ljJ/nCHbT8WnE0oQDoWfWvL5SkNd1+39z4LCKUjREOHYvY4SaQOxGyPEyJV+PFB7Uh63pK2m7xMyTtxWZ6xpCYCrRO307T3xtRVuEi+AhFowhcUEWiCIAwCucSgBZLDZYYLwGFAg9n15/A4sKzUqu5cacg9y+y7ZjGzB4ZmsPbn0GDW/nZmZmh/5uc44DCIf3kFwMyE0JrCTPBFiG8N8UUIAVAfLrpzX/m9v/6OZm1pZkuztjWzxcwWAzYz2wDbvmBBKZhUZDm1q2CpZL21atVoW5FiER1dPzZ2sN12Uxbd9GN9zcZp9nOzDiYTm0YfACUJDRMXxyQhkHRf+rg8QZ7ZDImTb01bOnlW05oEZgG0cukcBKRgtdA1/ls+saAJgiDkTqXqzc/O114KrCVggMCsmKGYfetJ1JoCwGJeLkBbgv8WORQuzW5d4X7ldv2vGnM/8xxvT57X2I6lWu20qi09XETfnCxycv0VZGaXiFL9TvnC1ajvAgWaTrivicaUDBJ1tCXpvphY0HIu8J2rq7SBBY06EWgpLWjqHAZXoD3EOL+FsPNK0SciCL1GBJogCH3P9VsVBeA55J58oTUFW1PyHrS27zmhlhjnLNDgW4JS/U4pIqPadUV+5wyOr4sFleCqyW7MV5P0N5R3lsc8+06iX2u/Jj3j7xGG2iROSUItpjuub3gBwL8s+iSEwaJf/9C7YSVcgyAIK5/VyH/w1hbW6X2XzPs2K7hs1Ddz22QR/vbcX/KlFlmWMhRoKFSUJ/w2t61xFhJnKUo6NuHvLFGTmwi0vAvC5/lCweR5SfobdwhqR7qmqYsMjn3J/8Y4v7fokxCEXiMWNEEQ+p7Kr5+4Wf6lZy8CSDlIMUMXOFZnLjTIP6mwcC8saOkO9PQak45djyqKykf9TxRcaHPWSooshPlOQARSDO02rgMAimRdpHIwvz0dPKmkshJJIihue9LzZDouMBFoffs8JWN06kmiOe13UkGeBdN7w30AXmWc/0uEnVK4WugIiUETBEHoHYXVQtOcZNHID2ZuN6AOU8bX0JhC3gmmWjBvXt9qv+hnB362Owf+Pf9b7c6N/IK8eZI6qYPHbFRHzVLDZYvKqROgkJnB92b85sSsonHbk8SAadyhiUDbYHBsB7CTvwbsHgKFGUbanVyKh8k6SmTllsCnx6wF8CeM878G4B8SdhZo3Rb6HxKBJgiC0EPSDPzCgrhhvatQgHhoFCzR7dGaWR4ATaBP4Kf6r6IuiqLH11qsD4WOF9lWjdm31RTW5wL84sGhcPJe/cX/L/dBytf/8BeGECPQOOf4OAYcg59Zo3PTnLf2jCVJJCV993F/K8TsvRtYP6N13YJ6bzwNsubq66I135gBzBueWxx5W4sLK5fRAQ7aX3+aZ3nwR6iNKAD/AH4B6/+csHPQY+sEIRYRaIIgDArfhD9wbRZUzdajUNQ4lV8/UegoewWQZMHK27KYOuueZm6blbOj4/N334whUfgmPdex2xlLu9C2IDNNUmyhaRwz6TuBvOMtc/z3wPiVfZxAax6rhcLaa1oOiqSThv8C6DIaC6yH+zQVXWcXvqBrEuuNBdnRKNgB3/tbN7k6c+MyDROpZ9pfNp8BuILGYurRTLvR8iE2gK8B+BFj8mcIu863b1f4ohL4kA88ItAEQRgIKr9+4v2iz+GLxvd+8rf563/4C1W0d4vL9XeQmd20414yjDcq2IKWFPuXdHJJlqIa2gq0xKQ0pmn44+jWgtb8YiZ8edMwMWvXL3fIMwT1DpaFGgcixZ8TlSNC5DaB0gwFq4MYQzUFDL8UJHCJxBRSQ3xhMLfRJEQUhufIT+gRrid/ThaDtxPIBWAFBd5VpJ12fAXAUQCJbo6M2nsAP5i0X5ujbyA2jT+/lvDIOPAz9HbD0wBOMya/Sdh1tMtjBWEgEIEmCIIgxFFDe4GWt4ujSd0qIxdQj5NqkeVGohseJ2ZnScxqE1foOkkkJQm0eYCOIxAukSkUFc3LVn2ZAajQUhKtUxiKkVK4jnzhk1jDEAA8np1gLB0GcH/Mbks23ZE+bpFwjGDtAXAVwKPdH24R2ggdSu+t2OkYz+RZN006k/bfkE0AfsiY/O8Iu/5ZyjaElQhJkhBBEARh5VMFsKrVBs42ZmjZ4kGBOxZrPU9KXSfABZEOtoX7aYq4eZG/XQfrGYC7fXTzpKUsKCKtSLECMZHSigjBZ9DynKCIQCAoUhi1yw6hdAT1wWuT4KBQXEQFR1R0hPNwUmgUHc2F0kPRYQGILW/QgQBLIi5+J+k7TUrDP0qgbi0i4bHII3SK4XQy1hlhZqb0IzsFYAuAzQAm4FuuurEw51FE+54O9zOJzTN8Xoys8DaAbzMmHwPwS4RdeZdpEISeIQJNEARBaMum0dEzRLQhyCOviEhRfU5l2/4QTWniURctt6WQb56IKBzAheuWKVnW0Nrh4U1pz/2RDfe6RDSIv3NJboZJLo5JAi4uttCwTpopXO2gzluX6E7jEeOsxUmEQoMAHAbwFoA7Aazv8PjUGUvbcAW+YOwAcg0MzqZZQbN4nv4qgIcYkz9N2HU1g/aEAcfA6tw3DOIPlyAIgtAj1pTLe9D5m/hMYfOsey4G83cuwSqROJhO2sGkkHXe99Pp4By6pG2pimZMnrdmobEPwAX4JRM6KbSctQVtHMAJAM92sG/q6yYiYmYP7YVW0vOS1fP0PPy4tJ8g7DqTUZuCUBiD+MMlCIIg9I4i68+ZZupYQkJ8Up+SdzbDODFAzOxFLJvNJFk8TF9d5+Gm1qngqyHRvbQtrVz1dsB/BjsRSlmXABjvYl/Tv7MagHbxeyVAv4xG/9VoXGKWf593AjjGmPxFwq7fz7BdYYDwXT2KPgtzRKAJgiAIcVSK6lhzYkHmWBioDujvdM71wMhLMLJV0V6oJGWYTHdKdYxd/ZjdKxrV80FdNw1wJxYswK/xtjZlt+3uywh8cfYe/LHjA232y6NGW6dtmoqkBIGGLxm23w1lAN8J4tL+J8Kufq59JwhtEYEmCIIgxFGkQDMc7bM3oPV6y8z8LhFFa09F0r7zLLN7KrIO9W1gAAsM91jjtuVbyQDvTOh/Fu0Fmmka/iSMBZpGZVLzbEztrXa4k0DpzpTdJlkWH4RvuZwAcAi3P5h5JAnp8LvQ2wz7ibN6Zuyu2jG/CmAfY/IvEXZNFXQOQkFIDJogCIKw0iksMxobCzRzc06B3Iu2YkgvAO5TOfYdl4Y/SaCZjoyMhUqQDbNrGEa1FToZT9nwE4i8CT/bYzSJRx6Wnk4tsaZ/J3H/RuRsDY7lawBeZUx+g7DrvQLPQxC6ZiUU2xYEQRDyI483+x2hDWNj2Dy2pkjiRFLer4fjrFh5W9BSvxBg9qY8njuueakIq283L7wfhe+KdzKyLo9ntdP4UVOrZdx3VnQM6B4ArzAmf6zg8xB6iArKpuQx9QqxoAmCIAhxFCbQzD0coQfY06XImk4mWR5NBVpqSxLDvap5LmUNNmO6TeyyFsABAMcAPIFCXRzJMa3rHrPNYmbjwsHM7AD6KqDnAbgAuwz2guXA1ZcZHMyXL4iD/+P/kfHmXkD/H7Z6fJAt68IXBBFogiAIQhzFWdAMFVowgBtU4gRa3rIz7r4lCBE2FWgGz1uhNe8sBjvwrVEu6gXVncjycpH1QFS48LMtvgJQKYu4GfZrtE8EHyvwY95u2wsNzxAtAvQZGrMsNs/DKSxdEdY7BKMyDfA86pkZo3MCoJgbMjfWl5lvMSoPRfpSkX6WUK+hOAo/S6MJXwbwrKtf/3lbPT5v2JbQx/TQ0JUbItAEQRCEOLIuoNsxpq+5NXORVihD2InRYXm7bsYJtG7rpIWCJSpaXPjX0CRa4AG4BuCd4HN0akqUcvtEUEuEoYu3Z3QHaHnIRrQ8fCMEy6T8DWoGwBnUi6rbwbKNuigJl0uRebDshcspoKMZ1QC/BujDXfb9IUD3pe+S3wHwcKoj/Ytudc8M7mUs3wRwr6tf/4atHj+XQ/uCkAki0ARBEIQ4CrOgedpMh3is4+K4jAgSmLgtpmUBQkShEAnFR3QeER7UQoDQ/e17tzRhuNkyQk2CroUVhMLPrSwjEesGXQeIUbdehIIlXLYjny00CpfwvliBEOp2oD2PlIN9IuuiTRu2pzkWABh6AuAn0x5vSCZudwS6gzF0Eah1cx9MLc1ZFvhuC4NnAX4DjVlJm5/f6DMZfTZLkWkrgCOOPv1XSmr/Dw3OXehDKPhv0BGBJgiCIMRRmEBzmY1MCp8vnL+8emikysyKwQSwCpfZd8ULPysGW/CXLQbbzP48cNkj/zNsgEv+esSKjzF7zcSd4/d2acnoDII1RGQnFT424SRAj8Zsr6F9dr4yzMYWJoP9BYNj4X+lqXVSPyVd6/b+m/6Nm7xJSfwbZ/A8wGcAfgx+iYKs+L6jT/8PAH6jpPZLXJrQV4hAEwRBEOIosg6akUBbcuc2MJaezup8ukHDJGN7Inm/Hk4acMcJNNNxhclg3wZwA8BGw3NI27cJWQqEblPbGwq0xMLncbS9bwxeAPg0wPvglyfIGgvArwN43NGn/+uS2p+bxV3oLb3MtpgXItAEQRCEOAqLQTMVaEXCRiW1CidJJJmk4TftO45tMEvrbvKd5REvlZZuBZqpi2On31k07lAD8AhY4rp7b7jeZehPchRmzfwCgAccffqbJbX/Ug/6E4RERKAJgiAIcSwW1TEzm/1GFRiI4LtU5tZ63u50SeaQuOQrRQq0IgV9UvKU3GHo9wF3Cr7Q/FIXR04B9CZuj+WKW47EJNqLgJ5C65hFC4AV/CmG2+rPCKGkaOw2Ua154bzmhfWdX4MxzwA47ejTP1lS+08m7t0Fjj4dXnMJvnhOmt4vqf2XszyHLxqD/HYsRASaIAiCEMdsUR2XLMu2iG54zKlc1sjPzlcIzDrPvvMWIkkCLc6CVqCrH5UMPQVNxnXdWq1ywLsGcBqL0yr4xbNTQaBPAFqX8vCWgl7R2HPM3gSj0gsLWkiYPOSfw3f7HEJnoippn27/Jv5jAL9veC3CgCMCTRAEQYijsLiMUdsubR8bW13T+titSmVbTevd3RyvCrSoMPJ0z8zd9dNEoJkKFdNrc5Deimf64t1D+vPP4KW/Xpv2QMOOTVRx20LWilYd9tg7AjhZJgZJYgjAf9PD/loxsK7d/QDRyohB66esQ4IgCEL/UZhAc7UuEdHQsGU9v3VsbPf2sbHTI7b9RqfHa79wcCHkbEHLO+NcUvtxSSVMXf1Mjzd5Xk1HdQbPm5lLLPuFr+9NfbgRZPo8tnSZJSJYtPYQYL1s2P6gIcYTQR4CQRAEIZaZojrmppeItlL77xgZgWb+YKZavTXrOAcQ87Z5ruYsDo8U8zPHK/steJxAM41BS2mB42MARgA8ZtC3qaiuIX2SEkNxyGeRXqAVaUEDfGHb8nsnIlhYv9/jG28EafZXBMx6wWPnvMe1KY9rjma3zPDuADCsYNfWFh7RONi0ssgOGiLQBEEQhDgKi0Fjbp0MQxHdv65cxtrh4auLrvvBVLX6UKs4tarnFeYlotkbLarvHhAn0ExdHOdSHrcdwN2GfRdoQTMVh/oa0gu0RILC7F7TFK6rALiG5UyMFC3E3lSUPVymaGH2uwCq7G+sAAAgAElEQVSMteubiEoWNuzx+Oa7AD+UzxVmDzODoW9odi56XJv1uMaa3XGG3go/3u2BVsdpuDI2F0SgCYIgCLEYFv9NT7MFrRki2jxWKm0ete2lJc+buLm09LgGVofbda6ZFOMhotzcK3tgnUu6b0lp2V2kH1+kvW9dp4r3NQdc+JYvzWCXCDPBOido08XtwiSaEj4qPhbhu2hy47R8O5stTRSZTzPc403rkqYSgqyKzOwC/EbQf5hxsXneZh0/COhb8J+rMENjdAr3t9Hye7WGiOw72t7oRPhG0h5EatzChrs9vvUaoJ9I31f2+ELMu+hx7YrHtQWPHaXZXQPwDvg1+bpNcmRaOPwLz+Dbz0SgCYIgCPEsFdUxd1gHjYhGRm378Mj4+MyC607cqlSeYGAVc4ECDfkJNIA7ciNkXw/MwbdO3IQvJMrwxUUtmNuoxwCFVo1FAn2EupUkFCAMgJm9KwDOwI97CsUKMzhiIQG18XyjelcNYgMAFMFiovZDE2Z9kuGooNRAZPIUgA8QSe0eLNuRz3ZkXkJdcIQdloHymradJ6IuEmh7miMZ+hTAT6XtmYgeYLauAPoywI+nbacgOhIkRGrUwoZ9Ht96GfC6KCOQDczsaDjnPV277nGtqtkd0vDWA7wTvgU31XffAtO6dF9waEUkCRGBJgiCIMRRWB003WUdNCJaM14qHR6z7UWX+WTZKt0cs8uvOdpdC4CJyCWQR/UBEClSjiKqWaRcImIKLB5RdcF+YjAGARRJiEDh//vrfaVB/lyR0q6+ehQA+TXROLBYMAFsA3o9fLHAqAuGMCV3DVCTwTbl779sLQGhfEtZd30UuXQVaSMUIGGK71XBPpu6uJUXANXWXY7hVAE82UV7HcPwjlLs0MSrAm5eWf1MXWJNRLmxVZSItjCrKUD/AOAXMDhjvI7vGxHZFtY/4/HUUcA9mOdJhTAzFt3rL2u4TwO4J5jyRCxowsD88QqCIAjFUJgFzVIqVUY+IhotER1QRK9sHl1bmDsUx9ZzTkLHFOnVNoCuSg5kC3k5JpKMffXN0KZJSOIwFUkmA2uT8djrADYAsIjoAcB6gJk/ALwR+PFd/U5XFiMiIgvrDmqemWDUcq2T5nHt00X35jzAvbTYiQXNAN8kLxY0QRAEYWVTmEAzhdE6ycjg051lMQVJo5sc0/xr7fFMEIvFofujAkAE+xpAz+bXd6ECzeRZnQXQ4NZIRPczW4uAdwzA8wZtd0IW9eO669BPwX/Y03NHGEtdW1Tb1V6rb9eVJW/qpMfV59D7sbJY0AQRaIIgCEIshQk0j9koI2CnMWyDBncYg2ZAklgwTcveFv/aWscXMdwJQmldXn0DMM28aXBfYgLvkmkZN0dEo4D9PLN+BdAPIpJAJ1vM9Dqz/hjgz1tsao5XDAmfT1I0UtLMLzIqL6BDkcvM8Lj2vk3DLbMoOnrxTMWb3gwgV+tcDGJBM2QFhKCJQBMEQRBiKTIGzUiIrNxaZNo0lX0SSQPdPAtlx3xnedfnNi6SbWL5MHnW98Ev0P0ugNtceonUM8x0CfAmg32zxrSG210AtxRLnaBoFJrVq4zFx9BBmQeXK69VvKm1Y7T5uiJrEwB4uvaRhjfv6MW5gqxmUUSgCSLQBEEQhFgKs6DVPG8dM7sUl9YvBs16hZZ71XnXWEsQtsQ5iqW4vvN+L246JjIZWJsINAU/E+cj7XYgom3M1hZATwB8EOYJURqaNzzeWJAoKj/NrN7QmN8DYLzdfszsVr0ZDWD3gnv1lkVDRzR7QwzvGdNzyBBxcTREYtAEQRCElU5trFT6vOp5a1ytVyXv3sjqoaFPR2x7XhF5ikhbRJ7lz7Ui4vNzc3sdrccVkQuALaLqeKl0w1aqpog0gD1I6Zql2dgi0qdwOecOCrSg0SALNBPXT1O31bcBxMbnEZECrMPM+h1Ar0N2aeFNxV4mLrNEQ48pXvWRxtxGALcl2XH00hsVb2o1gP3BqvUe1/LKCGqCWNAEEWiCIAhCe358924GcCfgF8ACMMWAQ/WaUmF6eEszn2fA1cxVAshWaiMRxWYbvH99y2SFBkVv6zB4JIt2+hBiZqa4LAdmFOkaGjcuyTvpi6nraFEWNKALqwuRepiZZgHvZQBZZCcs3IIWQlS6V/HqSY3ZJQQCVLN7ZdG9eY4LqJ2WErGgGSIWNEEQBGFF89Ud/y1//8I/WQIwQkQWgI3tfvqsBDFWACtVoAF+7ai8YtFiBRpBVQE1EVkTfSSIoRcAjBNIobEYNaG+Llpomvw+SQHOdIx5Lm+BZiqSTCxBpuOxrqyaRLSa2foSwMcB/Rj8YuZpMf1eMrUYEdm7FK+56PH0J1Vv5nOHF/cjGyHaK8SCJohAEwRBEBKpYTDFTt6ugEWyhKIEGlllAG1dwwjqFEBPpeqZLYpRGnm/Fi8lpV9PwESgtfkumYN2vcjcgy/INEA6WN/1SfvXSc8x06eAdytog+ttLy+HE1osA9CLzBwR7Ld3FZlTJCtjuH4awMnIumYRH/77o+A/m6ppssNtNW/6w0Xv80fgu0VvQv5FpfNALGgmRJ+sAUYEmiAIgpDEItqk8u5zhg0H3P3MEvL7Tvo0WQaHg3UP/iBWt1hu9VnXPy8LGo6sR7CeAc9jptAi1KQVbxMWTbXa1E2QOoVlgcGhmIiKisA1mK1gvRWsC5PxWJH9wrbD/Zo5CtDBYHlT+/sWDxHdzTy0A3BPADplanmjsMSTAA7EbJ8GsLbDts5jMP+tiiIWNEEEmiAIgpDIoKarJwZcGqzfOjeYnOCzgi8iasG6GgAG9FXAmkOj0IiKj6gVpJU1pJ11BAAWGfpy/ZQaBt8E0HxCjEdqSxJD2YSxaTSKFxuAIqKnAes4wXoubftJaF6YRep6YXwcQDrLof8SpNvsnFk910RERBg6zOy9znC2AdicUdudkKTuurAoUd5usL1ABJohEoMmCIIgfBFwknfJBmZ2gv6GgvT6M/AHrxqAR02WEQJp0PJ6HaxjEDQB7GjXsUgp9l3F2O8C9RnAAPsjxOXk8f7/l9TwUkkNBa6dUTMchfFU0diqwIpCCoAiPxuh5RcgpqGgEHFgPSErshyut4OkH+HnBPdM5SI/963zAO9sv5mPJ/gQpTanENEwQHHWkrxdbasGx5q4OKZxx83q75IpKJRNZD0OVlOM6imkF5vdknTfukiAsiIEmrg4CiLQBEEQhHg+mZ55kcG7mEEMhmYmj5k0MzGDPNbKY1aaWWlGMGflMdu8vJ5tzWxpP9ujrf1ttma2NVDSzGEcSQlA6Ss7dhxbVx5+ftPI2HvryyOpA/yna/Opr3tNafTIsDXej2m4gXzfsidZTJNeT5sIlYTSCJR3XKFJ3T8TP7/QUtqFwKB1Bv1FuY5I5lQiWgceforhHgW8p5B/LGfSfeviWV8RAk0saAYQaEW4tYtAEwRBEGJ54/r1jYhJCpEHHmsNAJo5kxpJadDQffwrz06OkfBJ9eOSBJyJUEno25vOOZmjgVWKjQKx4FvvOrUQegD2GvYXMo+m0hZEBELpILP1KaOWZV+tyFKgDao7dhSxoAm5p6wVBEEQBp+ev9H1tD9mK1KgMXM//0bmeW5J2SHzLGSdINA47xfLPXPnbUE37pUfZ2hNbCtqiNRuwvBdAB3JqK80dPzvD60MgSYWNEMox6lX9POPjyAIgtAf1Hrdocs6jBQztUqkhqH7+DeS8ozFMrWgpYb8WL44C8J4Xn0HFGm96Obv7HqG/cbWfyOiIUXDhwil0wBuZthviLg4NiIWNEEEmiAIgpCISVxOKi7PL4zdqlSOTlUrlV73HcLoawtanln2hhLGzHlbseIsSXnHQ5lYL0xfsHdhvcvUUtRRgW4iaz9hmAGcybBvIEOBRlCmxcb7AbGgGUI5/tcrJAZNEARBSKLnAu2zubn9n83N4b516yfuX7+x190DAJi5n92lbgHYnlPbBH+Q2O76874vNQBjbbblPG4h17CmVysYvvhyI5MHv17XEIAr8DOV3gCwgMYyCc0lEh4F8DqAuzM8v47vKRFtBA9vZLhHAO9L6FDcGdK5YCFxcRRWBiLQBEEQhCQKs2I5urixCkP38WBPXwKsvAQa4AuKdtefNHYwfc0cZ0HLe9xiGPNoHwPc5/1ldYRgHYJ/P4bQFNvHcE8B/BRgXyPQPoZ2Adzbvm0GwBMA7gZoq9l5NtCVyAoSiBxitj5k1IYB7DLsP0sXx5UwrhUXR0OKzOJIRDsA/C6ALfD/PflNZv7HRLQewL+C//cyCeBnmXmqXTsr4UEWBEEQ8sWkNpQRri4uk2I/W9CYnZtE9kSbzeE9YzSKpUicO7WLgVfB3IGfUVBF1lnBclL8m6lraJyrX/q6CZ1hItDCUhEdQl6gTcIBecLAnADQYYBfBhBTp65r2lkr48+G1H3g4SVG7RjAz2d4Ps10bNIkqBGCfarmufry4jRrZtbgZTT8uFYGg/3/QTODAfbnDPY3gMHYu3bjztVD5SytlZ0gFrTBxgXwK8z8GhGtAnCGiH4A4OcBvMjM3yKiXwPwawD+ertGRKAJgiAISfTcxTHE1VycQIPu23gWIjVCsA7n1wPfAJDWtzTPWKzbMkwy9HsALwHqCYLxq3OTwbECcC9gvxks707Y/WFAzcB3WwQ6t5xknWmSGMxp7h0RjRCGn2d2TzLc+wDEFRlPS8eiWZG9ds3Q/U8BgMfX3j16+cSIZp3wPbTnjmrl1QIEmljQDCmyPgozXwZwOVieI6L34bujfwPAl4PdfgfASxCBJgiCIBiwWFTHLheXSZHzT+memh5kmEwrAlz4Fo851GOvNHzh0zzpNlOchW6DH/8E+HXHeBWA+wGMAt5lhvqYYBvU7COdPgaNRwi0HsD6jnoCNWek7FQcJpVBSINj0i6RfQCsrjBqb6IuOLMilVVzy+gdD20b3TLx+cKl1ALNK6bMh1jQVghEtAvA4wBOAtgciDcw82UiuiPmUBFogiAIQiIFWtAKFGjJLo4e6kkfSuh6gEuvYVmUUFMyCIomhgj3ry8zL+T8mvgC/O89dHG02kx2ZE5BDFAJwKr0XdO7MSJpFaDbCbCtgDZNA28yIDe1uHZqOXkU/neTZakFY1FApLaAhzcznAlAP4+Mksl42rkFwltgaAYHfyes2Z8zwIFH4rJzIjOYh9To5s2jd5Q/X7iUuu+C6jCKQDPA99XO9R/HjUR0OvL5N5n5N287D6JxAP8awC8z82y3cXEi0ARBEIRYmHkR/oAwtHqEWeiikwXgjmC7E9lvOWsdNx6vmdkL1uvgsx8iEmSuY2Y9pNR07660kcCCdhb18/YCIaUVVu0JfoAtAMOaq68yarXAuSYirJY/Nw8aiDByyCCY3WPmW0HgeQ7QRiS66LXFdGBu4uJVZNyg6ZiqQzFAIwC/AuAZw/6ihDGHRhAREYYOM3vvMZxVAHaYtjlVu7B63r2+L8XZeMDYn5v0rVFIHUZxcexvbjDz/rgdiKgEX5x9h5n/TbD6KhFtDaxnWwFci2tDBJogCIIQy8c3by5yd4O3pELHHbN5ZPS1NptCYdicutxrWtbNc2pIX07heqZQWJE/t8muWLTmL3ZynoqGn87wsjvBAvS7gHUwp/ZN4pwMRZJRqntDKxaZDMhNLWjdWE6yNhFkWoyeyHoQrOYZtRMAP2vUlv83mgK2anrqPpO+NeueC7T1wz9ehNVuRVFwFkcC8FsA3mfm/z2y6d8C+CsAvhXM/yiuHRFogiAIQixcYJp9V2t73C7PoO5GZwOwya93ZCGfeBwAAMEydZfLFUZtI2Xq5daAyVv8HlmScunbBFOB1s11Pwq/ZlqqDIwtyNytjojGCcPPMrsnGO4jaO/2GjuaJlKpRRKR2fPg6Z67OIr1LAOKTBIC4DkA/wmAt4nojWDd/wxfmP0BEf0igPMAfiauERFogiAIQhKFxaBVPc8mojVF9M3gnprEukc/wOwdJ7Key6HxIgWaiVgoG/ZtgqlA60KIUDmoiZZVJs/chAGR/SxYXWDULgB4MEUL6QUazApXc/ZFy5OQ+LMBh5mPob1G/Pc6baew4GtBEARhYChOoLleganu+12gAYzKI8x8MYemTQaKRVrQRhls8Lwa+Ub1UKAB8MVOVtbtrFP3N0CkdhCG7wPUBG6/zngLmoFAU2RWuNrjnsegiQXNGPKLqec09QqxoAmCIAhJFObiWPHc3FwYk+G+rYMWYTWjcgNcnsnY0mgi0EzjwEwE2higzwHWHrNzSIXps9qlGKBNGVrRcrfcEJEVJBB5k+HcAWBrh8cZWNA6i4e0Sb398IbNHkCkCIpAShFZY6Whh9L2nRKxoAkARKAJgiAIyRRWB63iuoVasZi5SkR9bknTuxnVt8HD9xFRVoK2QIFmZEGzANwAkFKgGb0iL+I5eRbAJIBdhu3kakGLQmQ9ClYzjNpJgA8gMWQovbMXdWhBs5SqbB5d9VTqjrJDLGgZkHOa/Z4gLo6CIAhCEoVZ0GqeV6AFzT+FgvvvEO8RhnMqwwaLzGZo6FbG8wYHG7k49t4jjkoApjJoqKfPORGtIQwdAKxjSHgZYOLiSB0+i8x9U5ReLGgCALGgCYIgCMkUmSSkyKQPwEC90XaeY7aOEmWSet/EimUoqo3efi8CeoTB0wRa233PyjSveg3prz/lhdPjAL8M4Esp+wUiwiAQmdHyFbpxztESFpEyFrxcsiKybbmwNBoKsTfUClyarl768wV3YYihERSc9v9jRk0vVB3tTCyXEwwOihYaXHCcOUd7azisU8z+nMG0sTxCCNwWEW73x7+K6oXYV7954+IkAMWA2jm+9sr68lhsraucGKB/b/qTHhSq7gki0ARBEIQkeub+1EzN83LLI98hA/VGm1F5Bjz6HhGlyJbXQIECzYjXATwHOJ8wSmUCdSfwSdlg6wTgBQk4KCy6Hq2lF4gQioqQQIDoKoPs+udWggRoXA4XaRpQR6JnE5lmAaxtWqcicxvAGfhulqHosNrMw+XlidlxGdpFfVxoo4djxBHbefNm9dbMols5lOb4quee8Lh1vTVLdeYsFv1yatr7LM15ZMBA/Xsj5IcINEEQBKFv0WBi5lqGsVXdMmhvtEuMpfXgkVtEtD66gZmjBbxDweHidvGhASwQ0cdoFCdNYuS2OUc+L3fbNG+GmpYJwBRgR1NVU7BITcdEj/UAdgBeCsa49wC4iu7T7isi+xmD4dENgDemO5SOEej5NhvPA9iZ0MAEgCfT9Mx1kVcIimxn5/jWQ7O1+dcuLV7fAWBTl01k6luqe++rGiICzRQyjCTtE0SgCYIgCEmsT94lVyrIxioTCpJQlDjB5LZYDudzAM427e9EPkddwZymdtzIvm5T282fb5v/0kv/91++ND/1BIOVZlbMrBismKEYbAVzxWALDIsBC2DFwMjqoZFPf+9rv4xhu7QK9Ticjq0ihNJ5wNrb3e3NBvKtSO2ESuyRDL5WH+M6LsN+n6Ae6KIR09h8A2szt+v7CpLFGQAcBPAGgMe675sKFQaEoQXGElYPjT8xapdvTM5dOu2y17GLIZlZfG+DCxJorudVi+hX6D9EoAmCIAhJrAXwLhrjUUKRU0VrsdEsYNoKkRb7RJe9RdepjpWGGLeLKSdyHm5wLs1tLE/rh38800Fc3nw0dfnnAOxLc+xsbenxv/rit0/+1lf/2tMWpdIcRVkQALMgtGjc2XbAvYNhvUywOo3PMipsDDOLa7vr/hTAlg6OVwC2A7iF7l+qFPa3wezNMCob4AvRLbayN96zesfGa0u3jkzVZp9BRy9niLN8ZHWP78f5W9OX/t6/+9HHxz/5bOTi3/7JXna9IpEYNEEQBGHF89LP/t5xAA8XfR5fQIzepl9ZnD7wq0d+5+g/OvTzB3tZYDUDUluxCDTEflKbMHaxBHjPMPgowe4keYrpuMgkXrPddXdj3doE4DS6F2iFCXKGcxHghn9fiAibRzccWj00fvb8/GXF4N1xbRAhkysILGeeZq2ZeQERl2CP+ZoiGlNEd5n35Cdj+cEHZ9/4Bz+YqF6cnn0KwDYA72XRtjD4iEATBEEQhP7E2N3pvVsXDv7DM3808av7f6LLYsZFGtCM3QznUBdogO8Bd5DhThDshPtAo4Z9m1jQ2lnvuo3H2s/gH8EvYK1QjyNsjkGMTHoGfoKVVjGGDH+8WEJ87GFzMpQ2SVEaIPh1FlsmtRmxh/fsXbOzcn7+ytHp6oI7XauuBph8914ogIkB5Xp6I4M/4HoSFLW8zH5yFPZdSMNEKRqAZmBVcG3hegJgT9eqL3w6e1v1go0KVDu47e5JRbSrzfUkUnGc6j87+uqpf/HK6a1V12t2R5UYtAwQC5ogCIIgCHmRSf25Fy+8dXj7+Prjf/n+Q891cViRIxxDgUYLrfWAPsxwJgD7cMwAzrCGm/oEwOVWJxVJdNI8hcKgWRE4AD5EG/GSwJeA2kUAO1AXLTHXxucAPJ6iH2MI6lzcdkWqvGvVtoPVUeeNiUvv31XT7rpenVszGjzEzLU0WSg+n5q5/K3vv/TRDz/85GFuH2MpAk0AIAJNEARBEPqVzAqE/+77Lz2zdWzdmRd2PNIuy98MoCZRtyxMAd4EloUaRzMnhsuBsGACVBWRfPHMziLDvQPgIQTJS/w5Amc0Hgf0OGH4XUWjB5rOxdSCttB+Ex/2r6utJc1QoNF2AqWKGwTwVtPnj5HStZhAZYZ9GXB3dHhIgSbTzjK0Dlulx/7inY9cOXP90zeuLM2kSISSDVeX5q9sG1t9byf7Bm6Mr//977/kXJqZ2w9ga8Ihg5Y1ti8ZLI/u1ohAEwRBEIT+JDOBBsD6+6f/8P4tY+s+emD9nS0Gl+qcotLyoJehK4DbhcWtMacCEYHZ/RRJsUMYbpWMwTBRB1Xi9YY+zPDaJQ4xHReZWECar/uGyYkA6mkApwA81cHOfS/QAICItjy5affma0uzE6evf/I8myd16ZpPZm4+tnV01QIRjbXbZ7FWW/r2kZOnf+/V17ZVXa8by6RY0AQA5m+pBEEQBEHIhywFGgCM/cqR3159eeHWpds3cZMwSZf6samNBGsAzQLqiRYbTEVSLXkX72mG90qLDab33CT7X7PYGDY5Ed+Ns7QBBWZo7IzuahwSEW0eXXP4qzse/XDcHj6f11m1w2W9+urS/OlW2y7PzF79L77zryf2f+s3av/8xKmDVde7p8vmRaAZ08qLOMupN4gFTRAEQRD6k6wFGjTzlv/yz7997ve//itvrhoeBYKkDgSab9rVyDLB7E4A+tG4fQjDbxG1LMxsODbpqKaXBXhPMXCSYEVdLE1dzEwG2M3XfbfJiQAAQe1m0FGAkzJYDoQFLUpJWQ8e3vbg/AfTl058Mnv12ebtQSmzaFkQhu++26owu2bmxs+AJkBZSt3LfnrHK4poKwC8P3XtMICJLaOrDgPA2es3z//ad7/32buXrz4DPzlLWsTFUQAgAk0QBEEQ+pXMBRoAONq7+7Xrn028sGNf3EDSTKDBW4XGmmS3QRhey8wa0KcZTpXhrlYYu58o3YA9QqcWo1CknSFYYWzeqoRjqoi3bJlYq6Jjss8B3GnQVoTS40DtMpLjnwqCUj9rRDT+wLrtz5aUffTUtXP3AVgD/9kN4x0V/DpqaZ+pKyWljjha77KIJkdLpeV7+N6tq4cnPjr3p7997PT6z25NH0BnxcSTEAuaIQTfxXrQEYEmCIIgCP1JLgINAL791h8/8uU7H6kQUbnNLjnHYqnzAG3RmP8QcJ8O1l0gouGYvsMU8NF08WHx9Gi/3QxyFeDdy8Bxf5k1wB8FrkytUsaXAeyBn8DDBXA/gI1N55iWaIKS88hIoBFonGG/D7h9KtBME7MAe9ZsPnjHyOoL37/wzieO9tJkvWzHFkfrLQDgMU8zM1+amvvsT17/4LO3z1+529P872fYFyAWNCFABJogCIIg9CfGddDaMV1dWP/atU+OPLl5z6E2u5gm6kgQSbxaY7YC6Afq6/R2j6dvAKpm0epZ1OtTWcFymC4+YexCH3R5sqsAL5IQRVWAtsI1ZIM/Yw2/MLQHYD+ys6BlakkhWE8x3FcBPJ1lu1lARASGA0OhtnpoZMdP7X7SO3b544mLC1OHkHHA0EeXbqjvHHn93YrjPgxgV5ZtRxALWgYMvv1MkoQIgiAIQr+Sm0ADgL9x4neeq3nuZJvNpi9wE4QKrwV8y0QEBfBGQK8DsBrAKHx3wl6/TO7ivpMCaD9ABwBcB9jkO4sKlOZ7kwFDO9G+BEHRY9pMrMWKlHVo232HD2699y0CrmTR5nylOvWP/+T4sd968dTDgTjLExFoAgARaIIgCILQr+Tm4ggAHmvrN978t9fbbDYSRQQysSQZZS+EudhIKbJoC8zuW1Sgtci0aQaBtgCqZfZBFC/QMn0Zcef4+kd/YveT5TF7+KRJO5duzZ772//vD/nSrdl2haWzRlwcM4By/K9XiEATBEEQhP4kVwsaAHxv8sxT09X5N1psMrVaGWQF5KIFmmNwrAtgAsBcimOj173a4BxisPcDuNliw4oSaABQtkprf2zXYwceWLftGIClbo9frDqzv/FnJxSA9VmfWwxiQRMAiEATBEEQhH4lVwtayN84/rvjfjbFBkwTN5ikbTft23RsYyLQbPhp1jW6F2qhKGZkkGK/FQQaA9Q7LTcVSwe167qHiPDYxp3Pf33HI5ctUh93c+yLb59909N8Vx7nFYMItAwgotymXiECTRAEQRD6k9wtaADw0fTFPZ/MXH65abVpLTITgaY4KGKVsm9T65+JQAtZg3o9rPMAXgPwesIxCr44o+CYnLD3tlhZsECjLO55W9aVx3Z/c/f+uzaPrD6CDl8evDl5eTTPc2qDuDgasjLKVItAEwRBEIR+pScWNAD41qk/2NFkRTNOfW6IiTg1HcWqYmQAACAASURBVNtkacVYBb8+1hMAHgdwJmH/KvxB+r0ZnkMDBNoG4K2m1UV/37kLE0upoa/c+eChw9vue0eBYgVwxXEX5paqj+R9Ti0QC5oAQASaIAiCIPQrPRNo5+eu7zw3ezVqRSt6wF6kQDNJcJLU9x7Euz5W4ddYS0rzb4i12LRiU779xaIBysXFsRXbxtY98lP37N+4bnjsWLt93jh36R2kL25tggi0DFgJSUKkDpogCIIg9CddJzYw4e+9+v/s+L/+wn+viUjBWCAYD2Qq8N0E02BYw81okJx04aHr4wx8ofYgGsXRaQAjBv13iHUA8N4AsBa+IHUAvA/fkhUW/w4LdYeCNbKOGI2FvIFY10Ei1N03CYAN0CqANgDYnFw3L1tKyhr9+s5Hnv9o+srJM9cn70fTs3Z9dqFngrEJcXEUAIhAEwRBEIR+Jde4nGbOz13f+enMleP3rN36HIFKJkFkMFdoJgNVU4Fm0nen1rtQqHnw3R6X4LtCPgpgo0H/HUEgYgyNAXozgJEe5j5ocz7WkmZ3WkNrABoMj8EM//5oBnvwBaIOXHE1g/V8readnbrFLjN7rLWnNXvM7GmtPdbsae1v05o1MwMMRYpGbNvSzOwx88yCfvW9W5dLGqyYmTUzPp+Zm6o53kTDSXJDYCUxg4jAQyX1OBGNZ3QrTKy3AgD/6S465405ItAEQRAEoT/p+Vv8v/XKd3b/ztd+pUpEw/AHi2ndBYtMdW8q0Ezue8P9CnKduPWJPfjX5gXLHoANALvw3RuvAZgGlAsiLzim2aIVNy133TDzoablMBnJl+AXBS+MknXn8wvOjddvVj96vJvjpipLZ/7m8R88mfX5XJ6ZP7JU8Q51sq+n+dRo2X4qo65FoAkARKAJgiAIQr+yiLpbWE+4sji19cy1s0f2b957CL6Q6LQm2bK1I5h7AM3Wl+HBL169bAkJPkcm4vqyvsmspuBbUcL1TcscFSWRZV4AUVCA+7Zb10qkhOtcANBcmwHcV+GLLQWwgi/6gs+wmiY7WG/Dd1lcCJZLkfXdjLeYMDZHoJxqod3GWwDuATDWo/5aQinMHionU4n2Os8i6jj6qZrlTQyVrMPJeyciLo4Z0MtYsbwQgSYIgiAIfcj3f+pf8Av/6ud+yMxhwo7lQWPj8JEbRAezPzrZtmp89rmdO9YSESl/9Kuoee4vK0SWP5x+fWz/5r3ngFIoLkJxEi5bkWWb/PiiIK4oOAnCl01CqTQvvg/ggZSHnyWU96TuHDgO8NMGxxuiPiEik/Pvln3wRdq+HvZ5GwTVteWTQLkku3Pd7kLiao7eNFQyNdwC6LFbs9C/iEATBEEQhD7Fdb3HAaxPc2zN9Y6tLZef7fY4DZc97TmWsorIYhdiYkkwGtsQyKQImzEE+wr8bI+9ZB98i22Bro7diy1F+Qi0+bnqui4PycpkIxY0UyhISTPgSJp9QRAEQehfUqeb91inHabQdG3m87T9ZoRJVj/DEgFUcByQXdTYrKdZQ5uhFGIrzTFJLC7UJl1Xp7XemiJp9gUAItAEQRAEoZ9JXQvN05z6N/5m5eb1tMdmg1HadcM09apg7yLaVVDHxQo0UNc+giqHcWy5bG9FD2sQNnGzoH5XDL6/9eDXQROBJgiCIAj9i4EFjVMHxVxZvFrUADXERKAZpjxXD6OwWCC6QkTbium791lDG1F9YUFTlhoeHR16q8vDsvKKvZJRO8KAIwJNEARBEPqX1AJNGwi0z+bOP3WrcuvTtMdngIlAG2KDKDIiWg3Yrxv0b4B9rph+ARQs0NIk/CAyLqnQku071nab0TKr8XSnWVOFWCjHqTeIQBMEQRCE/sUkBs3EVW/0e+d/wI52inJ7KzQOjDBUSP8Eu8gsfgVnEOzexTGNW2QnrFs/+phS9H4ebSewqYA+hT5EBJogCIIg9C+pBRobWNAAwGPvnu999v3XTKxR6SHTTg2Pp3sBVYA1SxU5QC9WFKdKEpLPOJaIsGpVuYg4zBWQf7BoCPWShXlMvUEEmiAIgiD0L6ljwTSbZjMEpmszz711853jpu2koMhM9yDCLUK5DNDVHna7BODeHvbXTMHZK1NZ0HIbx46vGu6m7ayEVZGlLYQ+QgSaIAiCIPQvqV0MIwWujXjr5ttP3KpM9dqaZCTQ/DrcRlwmoq2EkSqgzhq21SHWR0T5uOx1SKEp3inFmJSMSyq0x7a7KJyd3euE3K7ni4RkcRQEQRAEIU/SCzTDgs0RRr53/vuuq93U7pbdw2Wjo43cMvkygGcAgIh2EsrzQOkEgFmTc0qCYE/n2X4HFFyDq/vyBopoTR5nAgDK6uJ8shu3iwVNAJDdP96CIAiCIGRP4RY0APDY2/vnF374o6/f9dUR+PaCcAIaXeO4ab4lbCJYVwGwECyHw9roXPlze84wZ8Ur8DPiDcOvizYCwIJ/P88DWA1gN/xxUDiFvA/gK+EHInqMMATm0hLAJxguAG8LoLcAGA12cwG6BvDmoJ8UWN1mDswat8jOU1nQiEZtpRxX68wtT5bVlTUzKxuaCLRMGPxQPhFogiAIQt9D39hHqA+kLfiuQFbks9203QYwyX/0Vq5WjyToZx57AcB/Bn/waQVzO/LZalqOTmrXQ3dM37l3Q9ruM3WXu165cXiqOnN+3fDaXVm22wqCdYTNBNrdADa32bYz4diW942IRgB6llqPoW0A25jdCUb1cLDOgy96gokc+GLWDbZ5AOlgnQZob8J55U2xFjSiVGPSr929+9RstVp65dLFfY7WxaSp58w80sTFUQAgAk0QBEHoc+gb+/4rAN9OcehfA/BPMj6dbtkF4OfSHlxZqB1Jeyxn/zZeHbl09PI37v6xXRm3mwNcLeItOpF9GGx5QSxZOHUiGs4B+bnrdUixiVlSJvz4Dx948FkAeOv6tRsz1WpmAo25kPshFrRMGPwIrsG/AkEQBGGlk9aUcjDTs0iHUR0x7RkFU2VuTZitzT5zo3KzR0kzjCiqfhtSJvq4mPmJDBxmCVJMCrMbQ+LiKGSLCDRBEASh30kbG/MCfWPff0Tf2LcledfcSJ0mHwA81yjzeR7uXnT00tGbObR7Wz9mh3NhAi0lgx80Y4hp0ek84tC6ICuBJi6OxhBAOU49QgSaIAiC0O+ktaDdAeBfAng2w3PpFiOBpj0jgaY0c+a1rRacxe09KF5tOD5hkwC2IsTS9gL67DPSxaCFrB4ansnqTAKKeA7EgiYAEIEmCIIg9D9GIgeAUcp2Q8wEmuY0g8RpW6mPSkq9r5kzz8zH4Ds/mPrwlazbbcS4AHHBRZe7YgqgXQWfA1C89cboOx+ylFFWmSieqxc+PXt9fVbtdYEItAxYCXXQJEmIIAiC0O+YCrSRTM4iHWYujp7uekSwc83qN7++d8/h5D3Tc+b6a7v2rL1nsaRKo8l7p6JIgdZry8lZAE/1uM9W3Flk50FtcY2U333ZLmVSp4+Z9dtvXXyb2a+F1+lhWfSN4kWy0CeIBU0QBEHodwZZoBnFQrHHXf9Ory2Xc/9tZ/CWI5eOncqxC1MXRxPLYa8F2mKP+2vF+0guP9ALUn9visjYasrM/PYbF1+pVtxuxBkgddD6DJXj1BvEgiYIgiD0O6YJHwbZxbHrEcFctdYT975LC5eem6pOTa4bXrcrh+ZNM/KZDJh7/fJ6XY/7a0Wh9QIjuEgpUiwiI5HEzPz2mxdPLC05zzWs988pLMzu4PZ6ccz+33m7GDiNzr9jEWiZMPg5d0SgCYIgCP2OqetSMcVrfUwFWtdCZXJ6eu+i49waLZXyjqGxX/z8Rzd++p6f2pV902YZ/QAycRXr5ejOA9BFgWp2UC9+rVEXDKGA0MHncB4pit2wjV3tuUvuEjnaXVCkRhh8XLNmT3vssceaNXuswWAwa2jW0GB/zpoic9Lw58xMmjV5/jqlWSt/vVYea8Vg0qytYL0Kli0NVszaquklmxmLDFbMsBmsGLDBrMaHhj99fNOW+9vdma3j43Pv3bzR9RcAAMyMd968dGJpsVGcBVwHsDVYbimgCBhRhLZ17JgxwUAnbsfi2SYAEIEmCIIg9D+mLmBGLo701QcPAFiDuo9LWIC4BMDCkLJBZAfrFPzfVn+ZUMZweq3BKSxoDGz7zptvXz14185T92/amGts05K7tP9G5ebZjeUNezJuOrxpjNZCw40s69uXeRa+2154fCheGI1ipnkdANwEcKxpPaG1VY5azKOTalpunm4C2A5wCfXnym5aLgVzCpYziVPy2Hv7u+f++JEs2uoFmjn2uh/YsLHy4meTqdq+8NnU0cXFWj/UTRSMCf/UBhsRaIIgCEK/U3QM2v+J+CQOU2jnwsSogLmKurhg1K0fzeIhdJ0KB/Vg5gozX2Re3tdjPzOjxwwPzJr9dZoZGsF814a1rqs9DFvqaJB5jEHLKmJZaIRZyYgahQYtj3Io3I2ofl6huCAA6uzM+xc2lp93gs+hkGgWJFGxYrXYHhW/wdwG+ZkjbHQ/XtkL8HGC1coiEguDTwHco6QdfBTAPb3pqxGbrLEi+k0LB4+tZr7mab2IyHPMAA/b6V+EOI5ZPYsOUAAuwH/uRwBsaLPfn+d8HsKAIAJNEARB6HdMY9B+jL6xb1vkc9Q6EU5Wm7mCIhc6NrwlzgWzjGr6sZ9L3szpV893XSPr8Nd3TDy3c0eumRxD7lm91wLwQKaNEoYySGmd9sb3cmxkGmuXiqpXe/uPJ/9scxF9p4Z9s8gPJs998J133znUYo/dPT6jjiHCwfBpZsYCAx8AaHbX/JtX/+5Lf6fHp7Yi6WU6/LwQgSYIgiD0O6YujnvRVZxPE4TXEvaopW47CeZUv9NVx+3JCEVBndtYvuOhHJo2jRv8zI8sYvaNf13RS9HU09T2zFz5ZPbcyVeunHqe0X18Y5FwYM59euvWse+8+07Rp5MaIoyBsZGB82jMnPn9os5J6D8G30lTEARBWOksFNx/kiUm82LQy3C6eKNKjwTatrEd56lr/dMRhnFWNEmwD6UQZxn03Sl8Az1MbV/znPf+ePJ7V16+8urhQRNnPn485rryyJMPbdz4btFnYwIRNgYPZjSryapCTmZF0hwKmuXUG0SgCYIgCH0N/9FbGsWKtCQBlp9A05wq7XaPBBrfv/ah+3Jq2zTduMn4plfi5ZNedMLM7qezkxN/cPbf3D9dm9nViz7zgLn+vfynD+/rZVmAXP6WiLCT/Li0EBFowjLi4igIgiAMAgsAiklqQMVZ0JjTCZVKzc1dZAyr4ddHS2NP5NR8kcXFe1WLyrR8RCKuds/+4MKP9I3KzZ7EI+YJR0T3iG1nWjpjfr7aI6vpbUT/TSuyHMgKQrI4CoIgCEKvME0UYgDphLrHzYVrs4M5VZHtiuPmPkK5e/We3L4TApWNqg6bWT16NVjPtU4dM/N3z/3JmiV3aVOe/fQKV+uxBad2AgD+9NOzM2uGh0+02bVdSYSW+7BmvW6kDB4ePqGZcW1mIRSDYRvZJsBpZAjAO8H5/OyW/+XL373yd1/KXbgL/Y8INEEQBGEQKE6gJVvQnNz65nRv1SuOm/fv++Ldq/c+lnMfLlKPU7jPBRrXAOTlHgoAmHcWXl1ylw7k2UcvcVmvPn3t8rMAsH3NKvz0mrY1q7vmZx72Ndhv/rtTE1dnFtJYG1M9b0TYFTnwIQDj6IFldeUz+FkcB98GKAiCIHwRKDIGLeltfJ4CLa2LY64CbVVpzeslVcrb5dRElJuM0HrhavYhchSCzMxHL59oV2tLaMEb5y6/eersxaKLVRedEEnoE8SCJgiCIAwCRVrQ4mG4eb6wZeYqEXUlGvK2oN2/9sFexANWkT5xgomHZC9i0G7l1bBmfeXk1dMXblZu9ajY9uDjetr9p392cguKNVxoiPUsE2gF2J8G/woEQRCELwKmtdBMSJJf6StRd0al2wOqjpubdYZAl7aMbs/bvREwqy9nkiSlFxa03ATumetvTJ6d+VTEWRc4rrfEjKILdzuX/85LhqGXwkpBLGiCIAjCIJCfG2EiieaxvAVa12/VK46bhxVIA/A2j279EIQ1DHbgfy8MP1GKDuZesE5H1uvIuug8OkXXAcBWg3NNPb4hkNK8eBogj6h8APBLXgfn5wKYC2LIotcbXCNH70NwTRy5ZrWJiHbBpHB6DEtu5fUPpj56Jo+2VzJE1A914fJLNvSFY/Bj0ESgCYIgCINAfq4/jYNvB/VBtz8xx6bRt2yqsaLXCcSgBtc6BoG1xx5rDrPC6WDsEBEmFH5G0/EAwPdu2VBlhTIAKFKwFMG2FJcsBduyYCmCZSmylYKlFGxL0YZVI1hy3UsAiJkVABVkpvPnzBb7YwA7mFvBOgt+bFS43gZQumf17iPPbj1wGH4bL+SvSQEAHxsca+oh9GAgtgL4IlDdDt/90SC2q/RyYNzbZXR2LWDmxRc/f2lt1u1+ESAyG9F7nubKvDPhNxb8Rdfb5HAtUcP6SPcAUljKhZWLCDRBEASh/3H1p2C8jHqRG9W0rOCPfJs/W5H1drBsRz7bkc9DaBV/xPxp3Kmtu3N8aNWW0cfbbZ+brk7cuLyYug7VL//Ec5+WbGt3t8dVvcxeyOtHNz6SZ6rxdphYTU3rqNUAjNY/dhcD2B51F4BzyEGgvXzl1XenqtPi2pgCRWQk6DWDpq+m/xsPuGZ4vADA18JiQRMEQRCE/GGsAvClgnqPdX9iHZ/SXSmzwYKn2Smqii4AjNqjZ8ZKo0UM/E0KgI8m7xIHVQFey7x0DnUxb8pZIrUHiBf8aah6tbc/mT0n4iwtplklsokcK7DWo9BviEATBEEQBoG5AvuO/a3UXrxAI1OB5ukC4++AZ7cc6EXGxlaYCDTT8U14z+82bCeCughgD4At2bXpc+TScUn6ZgD1h8lFEoRkxuD/OQz+FQiCIAhfBIoUaLEGrGQLmll8i9baRKgYce/avUe2jm15sKDuTXw0DQfclIMoJjB7r8EXaZkxV5s/eWXx6kNZtvlFg0wtaNnIOzGaCMuIQBMEQRAGgSID6OMFmp+Eoy1kGN/iesUJtJ3jd24sqm+YCTRTa0QOAs07DLiZWkmY2Xvp4tGi08MPPESNFjRmnuOE5EA5UKilfKUQ5mHJ679eIWpdEARBGASKDMOKTVnPOv5X21SgOZ4uLP22x15h4hBmAs00qUdOg2VrPsvWri/dODFdmzmYZZtfSJiptuSeAmMYwDh819b34CeLqZd+qGdgbZwzZgHcb3oWhscLKwgRaIIgCMIgUGQAfexgX7s69reUlJm3iuNml46xW1xdXN8wG7AaCnrK6brVmqxaYubFI5eOF5FdcwVCGozmJCu3u422eyKZP8jgJESgZUY/hBSaIS6OgiAIwiCwWGDf8QLN43iBZlgE13G8nhQda8WcM1fkfTe5btPCw3lYDj0A92bV2MWFS6eWvEqRLqgrBh1UIi8YcXEUlhGBJgiCIAwCCwX2HeviqF0da60hMrPm1Fwv68Fjx9bIkioV6Wljct3jDJNBdx4WNPURERmm//dh5qnjl19pW3tP6A7NXKSlOKQfROIKoLk8ZtZTbxAXR0EQBGEQuFxg3+W4jexxrIWNiMwE2v/f3p2HyXHV5x5/T3X3LBrtu2a0WbYseZEtvFs2FmDHK4GbB3LYLktIWJwQQxKeJDdgLgRuEhIgMcQ3jiGslwAnOMQQTGysYBtbBi/Ylrxh2bLkTbIsWbs0S3ed+0dVS63xTE8v1VM1mu/neerprarOr3t6pHrnnDo1kFxAKwTBQ2fNmd/95K4d92w7uP84L/UY6VkvLRhq/WJYzMKBa6P2SZpUbYWKjpOioh6uePG9knZWPOePXMeEFa+FFUv82IQ68lwlv2775pee2r3tZe9DXwxDlXzoSz70oQ9V8qFKYehDhSqGpUNL6L28vCbkO9QzcUb+tNlLuxdOmnXMht1Pre8PBy5I7JMa58LQFzXCH2JGwVj+XUPCCGgAgLEg0ckV6mJMW7U/bpeKYWf17ZvsQRtoaua/AUXBoiBJK2fOm9SRy886ecac1d577eg9uL4zn5/2zL7dd7ywf2/5gL+3I5dfJ0mTChNelswvdHiihMMTJhx5X3rFh2SGfaDyZGtH3h+0mD2Sv09H/kl8qPs5yRzxZ27vvZEOlnw0+2e8zqHbyqX8J/G8jjgmCnLGFKYN9YE26luP/ewXWw/sPKeZfdzw5J3qyBUefM3Cnqb2gyOFYXoT8VToT7uAo8fYPweNgAYAyKSOq1YZlQ+k82b/oBnKyz0a5aXcm1HU4Z6Mokxlr4ZK8eNQMl4m7hmJb40xXlIoEwcPY3x51ja/LzxT0pBBLBwIq/bS5PJB+2mrj1lrpOiKuMYE0aTeJjDx3M3xNN8muh5T/HwcHjomt+9bOXPuw4ExgZHJBcbkjJQzJrofyOSNUd7I5ANj8saoEMgU4n0WJBVC70v7Bvo3T25rX1KuyxijmZ0TVkjSCdNmze/M5dc+vWfX3J6Jk547furMC3KmfeucziXLjExiE1vU6Q7JnNHgtge81MRwQp/4eX/bDu5amMR+5k/u2u/l0+7tOaqUWjzEMdeee6AwpW2ahpoBsnzfa1MraxhPmr2sXRYQ0AAANem4atVUSW9VNBQoJ6lL0gxFk2gUFP2fUnlbqHg8+Lm2IW5zQ+xHktS2aKLkNSCjfDnMVOyr5fo27N6hkh86oJX8xGrbBkFQ6JrUvqrRtveVBl6a0THh5Ea3l6TAmFxlOBvK4snTVi2aNFWSlkjSrM5TthpjVjbTbpOa+TN4s+d6JXo+0EsHdm8Nve9udj+BMU8umTK54e8ShhaGLT4HLdCAMWZx1XWMHmlpDRhTCGgAgFrNlPRPaTRsjGl6qGBTAtOn4U4F88p57/uMMUOei+Z9c70d/aXSqI3XKV+vd1Jh/l05UzhvtNodrpyGNzRG3mu/oj8iNCLRgHb/tic3SZrb7H5Onjljz+CLKqN5pTD5HtMG7Ei7gKND5ejpsWvs9wECAEZLX9oFpMUEI7734c+R876pYNlXLI36/9UT8nOyMISu2ffd28S2SQe0ps8vas/l7p83seu0JOrBkYIgE6GXgIZD6EEDANQqzYtFpysw1Q+wvQ7IaMbQLzX359yBcPQD2osH7z8zMIUdedO5LTD5vunty05Noeem2WuZNRPQEvX07q2zmt3HytmzJidRC14pF5gsHA/vTbuAo0cW8nZz6EEDANQqzYsWpyswVS8i632V8OqbCxoDYZjK/9WhH5jRH+45wShXSmlYXbMHzZmYFa+32H+wtzTQ1AWquwqFtVM72pcmVROOlAuCZv8YkIQs1ICMyMJfDAAAY0NmeiRGmwnMgJc0a/nU29u68gXJGGNkTGByJmc6TaAqE3D4pv6vHSiFqR64tecmp3WJg2bfdxMBzScWSB/esfkJSac2sYuB0+bMWpRUPXglk40OC47JE5OFH2dz+DIAAGrS+8W1YcdVqw6o+Rnyxp7AFCWpc2r71FwhqOtg2zfZg1b0Yar/V7flJqd1PlqaPWiJHeHd++ITu5rZfmp7+90TCgUuSt1CYfPT7FcP9L6mMXfpTYKEzCGgAQDqMS4DmokDmg991aGOw2gqoJXCdANa3rTPS6npZg9Yi01sm1gP2qM7nm10JklJ6j919szlSdWCofnmp4RJItBzTJ6Qo2GiU74MAIB6jMvz0GYeM2lP+7Kp64O8Oa6BzY333jd6HlcpbG6IZDOMggOSSWt4XZPv2xSbmIwxsR60nX376jr/LGeCzefMW77p7LnLpm3c/fQLB8OdlyZVC4bWVsh1NLmL6r/bxtQyjT/noOEQAhoAoB7jMqDl24IJuUKwooldlNTg/7lhikMcC8HEzcaYE0ajLR/1Y5QU9XyVJJWMtDO+H8ZLeSjaQMVzftA68XPBy1L4q4p1hlhM+b4qnldfaWDXSwdfuj30oby8vPcK5RX6ML4fyntvvLxCHy3ehyaUN/E6Zlbn9F0LJ3VPe8ey1yiUNzkTmMAYE5hAgUz5vskFQfm1YEpbV+fSqd3LjIlC8XP7n9x3MBNTnRzdCrmgTdH3pCUnL5mgpt5cjskTcXRcB40vAwCgHuMyoIW+6etilSTlvfehogBSXqIgYszMYTf0fsgLYI8KH3qv4t2SD3T4yCc48tYH8f3yknvlY19+Pqfo2GPw41y8z7wOH5tMldqnNVp6YDoanpgj9P7+mzbfdnqj20vSGbNX3LVwUveqSxc3vpv9Awcafv+oXdy5fUDSxCqr7Vf03TQ6HOYKOvy7IEW/02H8XE6SN3mzKdeWowcNdSGgAQDq0UxAKweScjgZGOJ+Kb7fryNDTH97IejK5UxeUmgkL2N8dKvQSDIm6hGJbmWMkZeXdu0bWD1SYYW82TB1Utt2I0kmChZGxpTvB0aNDG085PmN28rnUwWS2uLlkJ4lsweMMUOec+UHrTuavCl1SKUTU2o+tWCaM0HTx0fHTl64uNl9eHkO2kdP1T/CdHTlvTFmyO+k936RmdQmDX1cfWy8jIRj8sQwiyMAYHz5kKK/MpeDVGVv0MAwS1FSsfeLa5vqhVry6Qt/JOn19Wzjvfe79o08r0cQmAOFfHBuo7XVYKQjhgOSpgz1gvc+tdndQh+m13uXYkAzzQe0lye3Texpto7ABP2lpicYREKG/ffLGJNEkCaM4xACGgCgZr1fXPtQis3XPV25iWbm6PVS1UkAvE+vlyrWq+ECWopBxSvVgNbh5WVSOJ8kMEFTobgz37HJGDO92TpyJhhoZNpQ1K+tPfeAj6ZzNNLhNBZ/+7yks1pcAsfkieEcNAAARktD15PK583zA0VfdYhRmr1UsWpTQTQ7w1zDvA+zEFxH/f0HGnq4aa26u2bvTaQOE9B9NkpyheBVkialWUKKbSNjxv4gTQDAeLG/3g28988XS37E63iFPr0QJEny17g6pgAAHtZJREFUVWd5y5fCsJZJBhKXcg+aJPWl0agxpqlgetyURYlM7mFU0/TsSEbzV0NrDmE8EdGpw61aaqrAmEuNMb82xjxpjPnzRt4FAQ0AMFbUHdCMMT35nNk60no+zZkSJXn5qkGkPyz1jlYtR0r3c1HUgzbqjIaeDKJGpe6uOXVd+2w4gQkIaKMn7c96S8rtIwHx+YjXSrpM0omS3maMqXuiJYY4AgDGiroDmiRNn9y+03t/dxCYKcYcOp+rfJKCj++nO8TRVx3iqP5S2NeZ14TRKqeS937YGSZHofW+lM4nabgHLR/kNxSC/PIkiiCgjaq0e9DG5SVMWiPVc9DOkvSk936jJBljvivpjZIerWcnBDQAwFjR0AFMLmdOz/pJ4977qnNB9JdKqQz1i/UpvQCb1hwZDQ95ndUxfZukRAJajoA2mrL9jwRqcv/96242pmfY60omoMMYc1/F4+u999dXPO6R9GzF4+cknV1vIwQ0AMBY0VAP2lgwUg9Vf6lYtYetxfpU/QK+rZTK+27mHLRjJs9PbGKVnKnpAscAYt77S1MuYaigX3fvLOegAQDGiqM1oJVMYBZWW6G/FFabRKTVUgyH1XsWWylvcg2d/9YzcU53UjXkAib2G0X0oCEJz0laUPF4vqQX6t0JPWgAgLHiYNoFtMLEKRPuNcacU22dvlR70Px+yfQrmmWuvBQVTapQ+VwYL+XXfMU6XtGMhOXnvQ7PWueHWOLn/R6vcOcIBZoh7pcvX1X5uNoSDL7/jmWv7w9MMMFIOcnkjBTImFz0WIGRySu6X14KknZKQdWwXY+8yaV9XhSA+twraakx5hhJz0t6q6S317sTAhoAYKwYrR60ytBRDiYDOhw+ivHjUsVt+bnK5wcq1q98rr9y3QkTO3ZIWlOxj/LrvfFtZ1zXFB2+VlJpmLYqb8t19Q9qsyjpLZL+WNKtkq4cYh+HajWm8JSamDSjSfdK4ZlpNNyea9smaXadm22UgjlJ1ZALOEwbRWn3oKXdPhLgvS8aYz4k6WZF/15/1Xv/SL374TcfADBWNBvQ/kbR9MeV4aU0eNl49Zqjutfi+f3fnyDpB/HDb/R0vfnJaut7PZPm+W9pDu1sYHilSXRIZnuujYN2YIzx3t8k6aZm9kFAAwCMFc1OQ33PxqvXPJdIJWNbl6TPSjpd0o01rJ9mYE1zkoxGAtqIF0Wvx6yOGV1P6KkkdwlgDCCgAQDGimYD2uOJVDHG9XS9+SVJX6xjk12tqqUGaYbDensO90k6NskC5nfNW65oqGvD0/6jZmn3Vh7VPfeoD7M4AgDGimYnCdmXSBXjT5qTs6TZg1bv8MrHJZPocVUhV+ia2jb5/iT3CSD7CGgAgLGi2R60tK7lNdY1+7mPVXUOcTQtmcTm/Hlnz6+/FjQg7R60tCbiQQYR0AAAY0WzQWFCIlWMP30ptp3msK/SyKtUMrNaUcTU9imLlkxetLYV+0Zk78G+nUr/DzjTU24fGUJAAwCMCRuvXhMqOh+nUV1J1TLOHJXXn6tBPQHtoKRlrSrk3DlnrJ5Y6Pplq/Y/3q3f/GLVmUxHyZa0C0B2ENAAAGNJM71oTLTQmDQDWprDzuoJaE9KJjfyao0xxuj1i37j1HyQf7RVbYxnD2x8YbwO40VGEdAAAGNJMwdScxOrYnwZpwHN1DNByc6WlRHLB/mONyy+ZLaReb7VbY03G1/cOTXtGoBKBDQAwJiw5NMXBmpumOKCpGoZZ9IMaK04TikpmkK/V9HFz/dI2q0oZG2XtE3SVtU1i6NpT7rIoUzId868fNGFA4rqRQKKpbC0v7f/+LTrACpxHTQAwFhxoqRpTWy/MKlCxpk18a2Jl3ZFxw8lRSFmqOXQa6Hvu1xSh+Tj7cu3MpKC+HEgKfDyQXzfSD4nBftzZuKGw+uq4vUjHgeScsM8V35+m5GZW/FcVV7midrnKDGjFv6ntU9dvLr73Iduf+HukzTOj+MO9PbvGyiW+qdM7Gx4go2nt+3cIGl5gmUBTRvXv9gAgDHlPEVHzMMNe6sMB+Vekn5FU5TXOSMfyowW3iLplka391r/J5LmN7j1PiOztNG2B+msb3VTazrbI6m73mKasWBiz6mnzjjxrod2PHreaLabJdd+5+e33//Is8d2z56y+TNXXdHw5/DAxhe2KRsBjQtV4xACGgBgTNh49Zp/XvLpC69X1PtRiJ8OJRU3Xr2GAJZdTcy86ZM8TqkzoNVsk2ROadG+h7Vixonnbe/defvz+7esHu220/Lslp2bNj6/46U779948InNL62WpGe37pr/wGPPrXvVCfMb+hk8+sw2joWROXwpAQBjxsar13gd7inD2NDMpREKI69SszovBGxqPf9tV92VJOQ13atW/3DTzXfvHdh3blo1jKZ/velXzzz61NYLBj9/7Xd+PvG6T9hiPp+r+7h22+79i5KpDkgOk4QAAIBWamKSEZ/01PU1X3Tb1BzQTGqXbzDG6IpFF51WCAoPp1XDaPJ+6FGAA8Vwydf+45676t3fQLHUH3rf03RhQMIIaAAAoJVqDkVDSLIHTaovLNbYG2OObaiShOSDfPsbFl/SHcg8k2Ydo6HaSVp3/mrjWbv2HNxe1w5NqtfZG6yZnmYcZQhoAACglZo5nSLp3qk6DoJNLeHwacnMaLiahHTmO6ZftuiiUCkOt8yAzl899uxTdW3hMzUxx4tpF4DsIKABAIBWauZ8wTrPGxtRPQGtlrYzc9Hoae1TFr+me9UzimYtHZe+9aP7Fhzo7d9X6/rFUtjfynrqlKWwiJQR0AAAQCsdaGLbpC8AXc8BeQ29dyZLQ+Q0f2L3KStnnnxv2nW0zDDnoJWFoe/+q+t/+lCtuyt5n6XZXyekXQCyg4AGAABaqZlz0FIMaKaGaflN5iaYOHn68lWLJs2/Pe060vLs1l3nrfnFE7+sZd3A1DxT52ggoOGQLH0xAQDA0aeZyQ/ah5u5r0F1DP8zIx0w75C0uIlaWub8uWevnto2pe5ZDbOu1q/CN39477Jnt+7aNNJ6gTFJzxLaDAIaDiGgAQCAVqo2c6JX1MN2QNIeSS9L2i5pq6QXJD2n5s6pek7SA5Lul3Sf6pt0ZJKkvVVef1KZmgTwMGOMLlv4urPagrZ1adeSpDrm9Jh69Zd+POHXT297vNpKxmTqOJiAhkO4UDUAAONc0a//E0kzJJUUTeoRKJrivkNSl6Khhrn4cWd826boOCIfv5YftJSfmzZcu0btd+ZM16tb8qYiT0la3ciGxpi899og6bRh1mhm6GbL5YJc4Q2LL1n47xt/vClUuDjtekab95r9V1/+6YwTlsy548P/c/XpnR2FrsHrBAE9aMgmAhoAAHi3pBUptJvxmeuC/VI4zGtm9qiW0oCOfPvUKxZdtOdHm2/ZoSiAj231f1tyj2188YLf//S/bbWXrlx36fknnGsq5nXJB0FB0Q84Cz1pBDQckoUvJAAASFczMy02IdkTzJrkJW2WdIukf5R0lRT8naR/UjTcstI+ScePbnmNmdI+eeHrel69RfXNYJlJvsExpaH3c7/7kwfO+ujXfrJuwwvbDw17jMPanqTqa1INk9JgvCCgAQCAtAJaqxuo9YD+l5JOk3oWSz2XSD1/KPV8KTDH/CgwS39f0gJJf1qx/q+lTM0AWFV315yTXzVzxX1p19GsZieM2d83cMrnb7xr+ae++99rt+3e97wkTZvYuSGR4pqXpeGWSBlDHAEAQEoBreVGCmjbJf25pK9JPcONZVRgloah3/B9SX8b77bmiyFnxUnTl6265/Enb/7sDTd2SjK5wPiJE9r9grnT8qcu656zqHv6cUGQzUlPKiSS6Lfs3LvqE/+6pu+URXNvf/sFp06/9qZflJR+QEq7fWQIAQ0AAKQU0FoeCIZrIFQ0dPETUs/LNe5rk6RnJC2UzLATn2TZe869/JJrbvjpXes3bz6v/Nx9jzyrH6xZJ2O0bdni2Y9fev4JU086bt7ytkKuLc1ah+J9U1+Ywdu2r9u8dfX6Z7a+OKmz/aG9B/tWKJoYB0idSfj6IgAAYIwp+vXH6PCsiwcVnYP1+la3a9T+8xbP4niXpPMGPfcLSb8v9TxQ785Cv+HNklZIwZ9JJumLaI+KvoGB4qIP/N7DL+3Zs7LKav1thdzmzvbC3kI+VwwCE8bna1UeNBpjjC+FYXD4VEIjGXlJxsTrGmNkTHT6mJG8zOHXZMzh1GQkI+Oj20MNyEg+9N54L23ZvmdBqRQubPCt+84FE6sFvH2SJja47yR878A/3PXWFNtHhtCDBgDAOJc3K56ufFz068vDrTZI+r6kd0nqSbpdo6DV53FVXvfsZUl/Jumr1YYzVhOYpd8P/cbnJH0iieLS0F4o5B+95h+XzH/f7z7dVxw4ZpjV2voHSkv7B0qjWluLhao+jDDNcAYcYcyc4AoAAEbNv0g6SdKyvFnxF4ouHJ04r1KxFfutcLqkOyV9RdIyqecrjYazCuc2X1a6pk+aNPlXn/9C3hizI+1aALwSPWgAAOAIebPihkFPteIcNS8Fz0n6iaLerR3xbXnZGT+3R8NfjKxSKGlg0FKUlJN6diVY9znJ7KZ0u6ILgJd5RRcKL73ydCkvRX9Uz8evB5I5NxpJ2JjlPfMX3PSxTzx82Wc+NXFQHUcrzunBmEFAAwAAI+lNcF9rJX1P0vdzZung64tlWug3GMlMlPwdigLmSkVBsMzHS04yI10Yeo6k5UO/NFKW8JL8L6XgrGZC2sUrV558zXt/7xcf/upXEgqdmZb1gHZUjSdFcwhoAABgJPX2oA0o6vnao+gCydsl/UDSv+XNimcSrm00LZT85fH9J6Vwgoae+a8omTuk4IIW1nK25O+UNEny+yW1KQqGx0pm8pGr+pJkhjz/6kOXX3HOus2b7viXNbe2stYsyHpAG3OXbkDrENAAAMBInlQ0I+KWQctWSbsk7a9YdufNiiR73LLkoor7x1VZLy/5kY6xEggM/vxX7sbvkXSnZEJF0ytOk7RM0n2KekKNogkxOhQF6cnXffADZzy06ek773vqqfObrymjTE3DZNPUn3YByA4CGgAAqCpvVnw07Roy4oo61k3rGGuypCGCm84eboPAGN3xmc+cs+D9739ox969p7a0uvRkPaABhzCLIwAAwAhCv2Ga6gtoI028kakhd+2FQv6Ra65Z1F4obEy7lhbJ1Oc9BI7JcQhfBgAAgJG9U9F5XrUaKaDVs69RMWvy5KnrvvCF9sCYl9KupQWyHtCqXaMN4wwBDQAAoIrQb8hJ+nCdm3WMvEr2HDdvXs+aT31qh1pzaYU0ZX2IY9brwygioAEAAFT3FklL6txmmIDmJfkDyvAB+QUnnrj8y1de+Yiy3+tUO5P595L1+jCKCGgAAADDCP2GgqS/bGDTOVJph1TaLZX2SqV9Umm/FBbj6fmPT7jURL33wgvP/MDFF/887TqA8YiABgAAMLz3SDq2ge2MpBmSpkiapGhq+y6NoRm0r33f+y44e+nSoyOkhZoysKvvLu99Vi8BMSftApAdBDQAAIDhDUi6W9I2RRcTzuzQxKQZY3Tbpz+9ampX1/q0a0lCce/AeX3bDj7jvc/ixdLnpV0AsoOABgAAMIzALP16YJauCszSOYFZOklSQVK3pN9Kt7LR0ZbP5+7+67+eJulg2rUkwfeHx/c+v39qWAzvTbuWQSalXQCyg4AGAABQo8AsDQOzdIukPWnXMlqO7+6e/5bzzrsn7ToS4zW5b8uBM4v7B2733melR/SoCMBIBgENAAAAVV1/5ZVnBcZsT7uOJA283Le6f0fvOu99Ft7XvrQLQHYQ0AAAAOo3ro6hJnZ0dL7hzDMfSbuOpIUHSyv7thwo+tA/nHIpBDQcMq7+cQEAAEjIuDuG+os3vWl+2jW0gi/5ub3P719e6ivdkWIZWZ1dEikYd/+4AAAAJKCUdgGj7bQlS47NBcHWtOtokXz/toMXDOzqW5vSVPxZORcOGUBAAwAAqJ9Ju4DRZozRwpkzN6ddRysV9w6s6tt28NkUpuIfM9fHQ+sR0AAAAFCT47u7j/qheL4/XBpPxT+aM1cyzT4OIa0DAADUb7ukH0vyioaneUXDHkuKetfKi6/YZvAwNq/qfLyU91VmFP2RvbyUayi331dRR3kfpUH3Dyia2r0YbxtWvD6sUxYv3nvzgw/eMug9lpcgvs0Nqm+oZfB7KO+jV9JeSS/Fj/OSOiUtkTRfhzsXKj8TM8xzuYrbck3l26Kii5D3V9z2HfrsvBb1bTmwsDC9/dbchPzrjDFBXNOmIT6v8mdb+fzg+4PXq7wtSjoqLgaOZBjvR/q3AQAAABh/zJtOzbfN7jwm157bc+Af7nox7XowPhDQAAAAACAjOAcNAAAAADKCgAYAAAAAGUFAAwAAAICMIKABAAAAQEYQ0AAAAAAgIwhoAAAAAJARBDQAAAAAyAgCGgAAAABkBAENAAAAADKCgAYAAAAAGUFAAwAAAICMIKABAAAAQEYQ0AAAAAAgIwhoAAAAAJARBDQAAAAAyAgCGgAAAABkBAENAAAAADKCgAYAAAAAGUFAAwAAAICMIKABAAAAQEYQ0AAAAAAgIwhoAAAAAJARBDQAAAAAyAgCGgAAAABkBAENAAAAADKCgAYAAAAAGUFAAwAAAICMIKABAAAAQEYQ0AAAAAAgIwhoAAAAAJARBDQAAAAAyAgCGgAAAABkBAENAAAAADKCgAYAAAAAGUFAAwAAAICMIKABAAAAQEYQ0AAAAAAgI/JpF3C0s9Z+TNLbJZUkhZI+4Jz7ZbpVvZK19hpJb5a0wDkXtqiND0o64Jz7Ziv2H7fxLkl/KsnEy1edc59rVXvNstb+paQ7nHO3Wms/Iul659yBOrZ/r6Q/kuQV/cHlY865G1tTbf2stQskfVPSXEXf/+udc9fEr02X9D1JiyVtkmSdczuttcslfU3SaYrez+cq9rdJ0l5Fv09F59wZo/ZmAAAARgE9aC1krT1X0uslneacO0XSRZKeTWC/iQZra20g6bcU1XZBkvuuaCPvnLuuxeHsMkkfkXSxc+4kRQf4u1vVXhKcc59wzt0aP/yIpAm1bmutnS/pY5LOj79f50haV8f2o/EHmqKkP3HOnaCovj+w1p4Yv/bnktY455ZKWhM/lqSXJV0labhg/Vrn3ErCGQAAOBrRg9Za8yRtd871SZJzbnv5BWvthYoOQPOS7pV0pXOuL+4hOMM5t91ae4akzznnXmOt/aSkbkW9Ddutte+U9FlJlyjqPfmyc+5L1trTJX1B0kRJ2yW9xzm3ZYQ6XyvpYUW9GW+TdFtc4yclHRO/j+Ml/bGig+zLJD0v6TedcwPDtWmtvU3SWknnSfqhtXaSpH3Ouc9Za4+TdJ2kWYp6Q35b0ouSbpQ0TVJB0sedczdaaxdL+omkOyWtitt+o3Pu4KD38b8kfdQ590L8efdK+nL8XlbG7U2Q9JSk98a9NbdJekDS6XEt74r3s0LS95xzH4/b/6+4/XMkPaSoh+dTkmZLeodz7p7489pX7vGx1j6sKKBruPqttV+X9J+Kfrbdkn5mrd0u6f9JOtk590fxvt4n6QTn3B9XvN/ZinqT9sXvd1/5fvy+Puqcu89aO1PSfc65xdba90i6QlKHpC5r7UuSvuGcuyne7uuSfiTpPyT9jaTXSGqXdK1z7p+ttd+S9P1yL5219tvx5/RDDSH+7m2J7++11j4mqUfSo5LeGO9fkr6h6Hv3Z865bZK2WWuvGGqfAAAARzN60FrrFkkLrLVPWGv/r7V2tSRZazskfV3SW5xzKxSFtCtr2N/pig7s3y7p/YrC06vi3pNvW2sLkr4k6c3OudMlfVXS/4nb/GA8xHAob5P0HUk/kPT6eD9lxyo6oH+jotDws7jmg5KuqNZmbKpzbrVz7vOD2vy2ooP+UxWFli2SeiX9lnPuNEWh8fPWWhOvvzRe/yRJuyS9aYj3cbKk+4d5j99UdPB/iqT1kv53xWv9zrkLFAW4GyX9Qbyv91hrZ8TrHCfpGkmnSFquaNjq+ZI+KukvhmmzUtX6nXNflPSCot6h10r6rqQ3VPwsfkdRKKz0kKJQ+7S19mvW2t+soQ5JOlfSu51zr4vbeYskWWvbJF0o6SZJvytpt3PuTElnSnqftfYYSV+Ja5G1doqin91NtTQaB91XSSoP8Z1T/uNBfDu7ht14SbdYa++31r6/lnYBAADGEgJaC8U9GqcrClMvSfpe3IOxTNLTzrkn4lW/odqGFv6wotfoIknXOeeKcVsvx/s9WdJPrbUPSvq4pPnx69c5564bvMP4oPxySf/hnNuj6OD54opVfuKcG1AUanKKepIUP15crc3Y94Zoc5KkHufcD+LaeuPzroykv7LWrpN0q6KeljnxZk875x6M798ft12TOEhMdc7dHj81+PMu9/6sl/SIc25L3Ou5UdKCivbXx+fnPaJoaJ6v+BxGUlf9zrn9kv5bUWBeLqngnFs/aJ2SpEsVnTv4hKS/j3vxRvLT+PsiRT17r7PWtivqGb0j/o5dLOl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"text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(14,14))\n", "my_cmap='YlGn'\n", "race_col = 'Percent; RACE - One race - White'\n", "vmin = chicago_race[race_col].min()\n", "vmax = chicago_race[race_col].max()\n", "\n", "_ = chicago_race.plot(column=race_col, \n", " cmap=my_cmap, ax=ax)\n", "_ = ax.axis('off')\n", "_ = ax.set_title(\"White Population: Percentage of Census Tract Pop. (Chicago)\", \n", " fontdict={'fontsize': '25', 'fontweight' : '3'})\n", "_ = ax.annotate('Source: American Community Survey, 2015',\n", " xy=(0.1, .1), xycoords='figure fraction',\n", " horizontalalignment='left', verticalalignment='top',\n", " fontsize=10, color='#555555')\n", "sm = plt.cm.ScalarMappable(cmap=my_cmap, norm=plt.Normalize(vmin=vmin, vmax=vmax))\n", "sm._A = []\n", "cbar = fig.colorbar(sm, shrink=0.5)\n", "plt.tight_layout()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 39, "metadata": { "scrolled": false }, "outputs": [], "source": [ "col_names = il_acs_15.columns.tolist()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# col_names" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "cols = []\n", "for col_name in col_names:\n", " if \"Margin of Error\" not in col_name:\n", " cols.append(col_name)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "171" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(cols)" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "# cols" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "104.4" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "53.2+38.6+3.8+11.6-2.8" ] }, { "cell_type": "code", "execution_count": 80, "metadata": {}, "outputs": [], "source": [ "race_df = il_acs_15[['Id2', \n", " 'Percent; RACE - One race - White', \n", " 'Percent; RACE - One race - Black or African American', \n", " 'Percent; RACE - One race - Asian', \n", " 'Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race)']].copy()" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [], "source": [ "hisp_cols = []\n", "for col_name in col_names:\n", " if \"Percent; HISPANIC OR LATINO AND RACE\" in col_name:\n", " hisp_cols.append(col_name)" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['Percent; HISPANIC OR LATINO AND RACE - Total population',\n", " 'Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race)',\n", " 'Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Mexican',\n", " 'Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Puerto Rican',\n", " 'Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Cuban',\n", " 'Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Other Hispanic or Latino',\n", " 'Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino',\n", " 'Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - White alone',\n", " 'Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Black or African American alone',\n", " 'Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - American Indian and Alaska Native alone',\n", " 'Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Asian alone',\n", " 'Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Native Hawaiian and Other Pacific Islander alone',\n", " 'Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Some other race alone',\n", " 'Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races',\n", " 'Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races including Some other race',\n", " 'Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races excluding Some other race, and Three or more races',\n", " 'Percent; HISPANIC OR LATINO AND RACE - Total housing units']" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "hisp_cols" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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1320 rows × 17 columns

\n", "
" ], "text/plain": [ " Percent; HISPANIC OR LATINO AND RACE - Total population \\\n", "0 4106 \n", "1 7229 \n", "2 2304 \n", "3 6077 \n", "4 5011 \n", "5 3837 \n", "6 3413 \n", "7 2080 \n", "8 6558 \n", "9 3999 \n", "10 5163 \n", "11 3899 \n", "12 6634 \n", "13 5142 \n", "14 4886 \n", "15 4518 \n", "16 5794 \n", "17 6330 \n", "18 4113 \n", "19 1635 \n", "20 7833 \n", "21 4760 \n", "22 7508 \n", "23 5004 \n", "24 4155 \n", "25 3613 \n", "26 2880 \n", "27 2347 \n", "28 3487 \n", "29 4978 \n", "... ... \n", "1290 4017 \n", "1291 1213 \n", "1292 3029 \n", "1293 745 \n", "1294 1607 \n", "1295 2599 \n", "1296 6158 \n", "1297 2999 \n", "1298 7111 \n", "1299 2614 \n", "1300 3754 \n", "1301 3102 \n", "1302 2286 \n", "1303 4852 \n", "1304 7446 \n", "1305 2412 \n", "1306 2848 \n", "1307 1931 \n", "1308 2538 \n", "1309 1848 \n", "1310 1281 \n", "1311 8572 \n", "1312 2639 \n", "1313 2440 \n", "1314 1853 \n", "1315 3630 \n", "1316 0 \n", "1317 0 \n", "1318 0 \n", "1319 2717534 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) \\\n", "0 11.6 \n", "1 27.5 \n", "2 26.4 \n", "3 16.1 \n", "4 8.3 \n", "5 6.1 \n", "6 14.9 \n", "7 16.6 \n", "8 27.1 \n", "9 38.5 \n", "10 46.8 \n", "11 13.2 \n", "12 10.1 \n", "13 8.9 \n", "14 18.1 \n", "15 19.3 \n", "16 26.1 \n", "17 10.3 \n", "18 24.1 \n", "19 12.6 \n", "20 17.3 \n", "21 30.2 \n", "22 15.0 \n", "23 30.1 \n", "24 11.7 \n", "25 19.3 \n", "26 15.1 \n", "27 16.2 \n", "28 10.6 \n", "29 16.6 \n", "... ... \n", "1290 83.4 \n", "1291 10.6 \n", "1292 5.1 \n", "1293 0.0 \n", "1294 46.3 \n", "1295 2.4 \n", "1296 13.7 \n", "1297 7.8 \n", "1298 39.4 \n", "1299 15.5 \n", "1300 10.3 \n", "1301 0.0 \n", "1302 0.3 \n", "1303 40.3 \n", "1304 90.1 \n", "1305 17.7 \n", "1306 2.5 \n", "1307 1.7 \n", "1308 85.2 \n", "1309 43.5 \n", "1310 4.1 \n", "1311 22.7 \n", "1312 5.2 \n", "1313 26.0 \n", "1314 20.6 \n", "1315 3.9 \n", "1316 - \n", "1317 - \n", "1318 - \n", "1319 29.1 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Mexican \\\n", "0 6.6 \n", "1 24.1 \n", "2 18.6 \n", "3 10.7 \n", "4 5.8 \n", "5 2.8 \n", "6 10.3 \n", "7 14.0 \n", "8 14.3 \n", "9 33.4 \n", "10 44.2 \n", "11 10.2 \n", "12 5.8 \n", "13 7.8 \n", "14 14.7 \n", "15 15.7 \n", "16 19.1 \n", "17 7.4 \n", "18 19.8 \n", "19 6.9 \n", "20 15.8 \n", "21 16.9 \n", "22 13.6 \n", "23 25.0 \n", "24 7.4 \n", "25 17.7 \n", "26 4.3 \n", "27 9.8 \n", "28 6.4 \n", "29 11.4 \n", "... ... \n", "1290 76.7 \n", "1291 3.5 \n", "1292 4.3 \n", "1293 0.0 \n", "1294 43.4 \n", "1295 1.5 \n", "1296 8.4 \n", "1297 4.4 \n", "1298 15.1 \n", "1299 0.4 \n", "1300 5.1 \n", "1301 0.0 \n", "1302 0.3 \n", "1303 35.2 \n", "1304 80.7 \n", "1305 9.7 \n", "1306 2.1 \n", "1307 1.2 \n", "1308 83.8 \n", "1309 35.4 \n", "1310 3.5 \n", "1311 20.5 \n", "1312 3.1 \n", "1313 20.5 \n", "1314 12.7 \n", "1315 3.4 \n", "1316 - \n", "1317 - \n", "1318 - \n", "1319 21.7 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Puerto Rican \\\n", "0 2.8 \n", "1 0.7 \n", "2 2.2 \n", "3 0.8 \n", "4 0.5 \n", "5 1.8 \n", "6 1.1 \n", "7 0.0 \n", "8 2.3 \n", "9 0.5 \n", "10 0.5 \n", "11 0.0 \n", "12 2.3 \n", "13 0.3 \n", "14 1.6 \n", "15 0.8 \n", "16 0.0 \n", "17 0.7 \n", "18 1.1 \n", "19 2.0 \n", "20 0.5 \n", "21 2.1 \n", "22 0.2 \n", "23 1.0 \n", "24 2.1 \n", "25 0.0 \n", "26 4.1 \n", "27 0.4 \n", "28 0.6 \n", "29 4.3 \n", "... ... \n", "1290 2.1 \n", "1291 7.2 \n", "1292 0.8 \n", "1293 0.0 \n", "1294 2.9 \n", "1295 0.7 \n", "1296 1.7 \n", "1297 1.4 \n", "1298 14.9 \n", "1299 9.9 \n", "1300 2.2 \n", "1301 0.0 \n", "1302 0.0 \n", "1303 3.5 \n", "1304 1.3 \n", "1305 6.9 \n", "1306 0.4 \n", "1307 0.3 \n", "1308 0.0 \n", "1309 8.1 \n", "1310 0.6 \n", "1311 1.0 \n", "1312 1.0 \n", "1313 1.1 \n", "1314 1.6 \n", "1315 0.2 \n", "1316 - \n", "1317 - \n", "1318 - \n", "1319 3.8 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Cuban \\\n", "0 0.0 \n", "1 1.4 \n", "2 0.7 \n", "3 1.0 \n", "4 0.7 \n", "5 1.4 \n", "6 0.4 \n", "7 0.0 \n", "8 3.7 \n", "9 0.0 \n", "10 0.0 \n", "11 1.3 \n", "12 0.0 \n", "13 0.0 \n", "14 0.0 \n", "15 0.2 \n", "16 0.0 \n", "17 0.0 \n", "18 0.0 \n", "19 0.4 \n", "20 0.0 \n", "21 1.0 \n", "22 0.0 \n", "23 0.0 \n", "24 0.6 \n", "25 0.4 \n", "26 0.3 \n", "27 0.2 \n", "28 1.6 \n", "29 0.3 \n", "... ... \n", "1290 0.0 \n", "1291 0.0 \n", "1292 0.0 \n", "1293 0.0 \n", "1294 0.0 \n", "1295 0.0 \n", "1296 0.1 \n", "1297 0.5 \n", "1298 0.0 \n", "1299 1.2 \n", "1300 0.0 \n", "1301 0.0 \n", "1302 0.0 \n", "1303 0.0 \n", "1304 0.5 \n", "1305 0.0 \n", "1306 0.0 \n", "1307 0.0 \n", "1308 0.0 \n", "1309 0.0 \n", "1310 0.0 \n", "1311 0.2 \n", "1312 0.0 \n", "1313 0.8 \n", "1314 0.0 \n", "1315 0.0 \n", "1316 - \n", "1317 - \n", "1318 - \n", "1319 0.3 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) - Other Hispanic or Latino \\\n", "0 2.2 \n", "1 1.2 \n", "2 5.0 \n", "3 3.7 \n", "4 1.3 \n", "5 0.0 \n", "6 3.1 \n", "7 2.6 \n", "8 6.8 \n", "9 4.7 \n", "10 2.1 \n", "11 1.7 \n", "12 2.0 \n", "13 0.8 \n", "14 1.8 \n", "15 2.7 \n", "16 6.9 \n", "17 2.1 \n", "18 3.2 \n", "19 3.3 \n", "20 1.0 \n", "21 10.2 \n", "22 1.2 \n", "23 4.2 \n", "24 1.7 \n", "25 1.1 \n", "26 6.4 \n", "27 5.8 \n", "28 2.1 \n", "29 0.6 \n", "... ... \n", "1290 4.5 \n", "1291 0.0 \n", "1292 0.0 \n", "1293 0.0 \n", "1294 0.0 \n", "1295 0.2 \n", "1296 3.6 \n", "1297 1.6 \n", "1298 9.4 \n", "1299 4.0 \n", "1300 3.0 \n", "1301 0.0 \n", "1302 0.0 \n", "1303 1.6 \n", "1304 7.7 \n", "1305 1.1 \n", "1306 0.0 \n", "1307 0.2 \n", "1308 1.4 \n", "1309 0.0 \n", "1310 0.0 \n", "1311 1.1 \n", "1312 1.1 \n", "1313 3.5 \n", "1314 6.3 \n", "1315 0.3 \n", "1316 - \n", "1317 - \n", "1318 - \n", "1319 3.2 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino \\\n", "0 88.4 \n", "1 72.5 \n", "2 73.6 \n", "3 83.9 \n", "4 91.7 \n", "5 93.9 \n", "6 85.1 \n", "7 83.4 \n", "8 72.9 \n", "9 61.5 \n", "10 53.2 \n", "11 86.8 \n", "12 89.9 \n", "13 91.1 \n", "14 81.9 \n", "15 80.7 \n", "16 73.9 \n", "17 89.7 \n", "18 75.9 \n", "19 87.4 \n", "20 82.7 \n", "21 69.8 \n", "22 85.0 \n", "23 69.9 \n", "24 88.3 \n", "25 80.7 \n", "26 84.9 \n", "27 83.8 \n", "28 89.4 \n", "29 83.4 \n", "... ... \n", "1290 16.6 \n", "1291 89.4 \n", "1292 94.9 \n", "1293 100.0 \n", "1294 53.7 \n", "1295 97.6 \n", "1296 86.3 \n", "1297 92.2 \n", "1298 60.6 \n", "1299 84.5 \n", "1300 89.7 \n", "1301 100.0 \n", "1302 99.7 \n", "1303 59.7 \n", "1304 9.9 \n", "1305 82.3 \n", "1306 97.5 \n", "1307 98.3 \n", "1308 14.8 \n", "1309 56.5 \n", "1310 95.9 \n", "1311 77.3 \n", "1312 94.8 \n", "1313 74.0 \n", "1314 79.4 \n", "1315 96.1 \n", "1316 - \n", "1317 - \n", "1318 - \n", "1319 70.9 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - White alone \\\n", "0 44.6 \n", "1 21.3 \n", "2 35.5 \n", "3 45.5 \n", "4 69.2 \n", "5 59.5 \n", "6 52.3 \n", "7 53.8 \n", "8 41.6 \n", "9 33.4 \n", "10 25.8 \n", "11 31.9 \n", "12 53.6 \n", "13 72.4 \n", "14 52.9 \n", "15 47.0 \n", "16 25.7 \n", "17 58.4 \n", "18 30.5 \n", "19 55.2 \n", "20 50.2 \n", "21 41.5 \n", "22 29.0 \n", "23 24.2 \n", "24 50.9 \n", "25 46.4 \n", "26 44.8 \n", "27 48.2 \n", "28 50.5 \n", "29 76.0 \n", "... ... \n", "1290 10.7 \n", "1291 2.1 \n", "1292 0.9 \n", "1293 2.0 \n", "1294 3.3 \n", "1295 0.0 \n", "1296 49.7 \n", "1297 32.5 \n", "1298 0.7 \n", "1299 57.0 \n", "1300 70.2 \n", "1301 0.0 \n", "1302 0.1 \n", "1303 46.0 \n", "1304 4.4 \n", "1305 4.1 \n", "1306 0.0 \n", "1307 5.8 \n", "1308 10.6 \n", "1309 7.8 \n", "1310 4.0 \n", "1311 10.0 \n", "1312 3.0 \n", "1313 64.9 \n", "1314 23.6 \n", "1315 1.3 \n", "1316 - \n", "1317 - \n", "1318 - \n", "1319 32.2 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Black or African American alone \\\n", "0 37.0 \n", "1 45.6 \n", "2 28.1 \n", "3 24.3 \n", "4 12.2 \n", "5 27.1 \n", "6 16.9 \n", "7 7.5 \n", "8 25.9 \n", "9 17.7 \n", "10 19.4 \n", "11 30.5 \n", "12 12.2 \n", "13 6.4 \n", "14 13.7 \n", "15 15.2 \n", "16 17.1 \n", "17 5.8 \n", "18 9.4 \n", "19 1.0 \n", "20 3.5 \n", "21 2.9 \n", "22 5.9 \n", "23 21.5 \n", "24 17.6 \n", "25 20.6 \n", "26 22.8 \n", "27 14.8 \n", "28 12.2 \n", "29 3.4 \n", "... ... \n", "1290 3.8 \n", "1291 86.9 \n", "1292 92.6 \n", "1293 98.0 \n", "1294 49.4 \n", "1295 95.3 \n", "1296 12.9 \n", "1297 34.3 \n", "1298 59.1 \n", "1299 13.6 \n", "1300 9.9 \n", "1301 100.0 \n", "1302 99.6 \n", "1303 3.3 \n", "1304 0.9 \n", "1305 75.3 \n", "1306 97.2 \n", "1307 88.6 \n", "1308 1.5 \n", "1309 47.2 \n", "1310 80.9 \n", "1311 66.4 \n", "1312 89.3 \n", "1313 1.4 \n", "1314 46.3 \n", "1315 92.6 \n", "1316 - \n", "1317 - \n", "1318 - \n", "1319 30.9 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - American Indian and Alaska Native alone \\\n", "0 0.0 \n", "1 0.4 \n", "2 0.0 \n", "3 0.1 \n", "4 0.0 \n", "5 0.0 \n", "6 0.0 \n", "7 0.0 \n", "8 0.0 \n", "9 0.0 \n", "10 0.0 \n", "11 0.0 \n", "12 0.0 \n", "13 0.7 \n", "14 0.0 \n", "15 0.0 \n", "16 0.0 \n", "17 0.6 \n", "18 0.0 \n", "19 6.2 \n", "20 0.0 \n", "21 0.0 \n", "22 0.0 \n", "23 0.0 \n", "24 0.0 \n", "25 0.0 \n", "26 0.4 \n", "27 0.2 \n", "28 0.0 \n", "29 0.0 \n", "... ... \n", "1290 0.0 \n", "1291 0.0 \n", "1292 0.0 \n", "1293 0.0 \n", "1294 0.0 \n", "1295 0.0 \n", "1296 0.0 \n", "1297 0.0 \n", "1298 0.0 \n", "1299 0.0 \n", "1300 0.0 \n", "1301 0.0 \n", "1302 0.0 \n", "1303 0.0 \n", "1304 0.1 \n", "1305 0.2 \n", "1306 0.2 \n", "1307 0.0 \n", "1308 0.2 \n", "1309 0.0 \n", "1310 0.0 \n", "1311 0.4 \n", "1312 0.0 \n", "1313 0.2 \n", "1314 0.0 \n", "1315 0.0 \n", "1316 - \n", "1317 - \n", "1318 - \n", "1319 0.1 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Asian alone \\\n", "0 3.8 \n", "1 3.1 \n", "2 7.7 \n", "3 12.4 \n", "4 6.5 \n", "5 2.4 \n", "6 13.9 \n", "7 16.2 \n", "8 2.2 \n", "9 7.6 \n", "10 4.6 \n", "11 19.1 \n", "12 21.7 \n", "13 10.6 \n", "14 12.7 \n", "15 16.9 \n", "16 21.3 \n", "17 22.5 \n", "18 32.5 \n", "19 20.6 \n", "20 24.7 \n", "21 22.5 \n", "22 46.7 \n", "23 22.1 \n", "24 19.4 \n", "25 10.4 \n", "26 14.2 \n", "27 17.2 \n", "28 16.9 \n", "29 3.6 \n", "... ... \n", "1290 0.6 \n", "1291 0.3 \n", "1292 0.4 \n", "1293 0.0 \n", "1294 0.0 \n", "1295 0.0 \n", "1296 20.0 \n", "1297 21.5 \n", "1298 0.4 \n", "1299 11.4 \n", "1300 5.1 \n", "1301 0.0 \n", "1302 0.0 \n", "1303 9.2 \n", "1304 4.3 \n", "1305 2.7 \n", "1306 0.0 \n", "1307 1.7 \n", "1308 1.5 \n", "1309 0.5 \n", "1310 3.1 \n", "1311 0.4 \n", "1312 1.3 \n", "1313 4.2 \n", "1314 9.2 \n", "1315 1.9 \n", "1316 - \n", "1317 - \n", "1318 - \n", "1319 5.9 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Native Hawaiian and Other Pacific Islander alone \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "5 0.0 \n", "6 0.0 \n", "7 0.0 \n", "8 0.0 \n", "9 0.0 \n", "10 0.0 \n", "11 0.0 \n", "12 0.0 \n", "13 0.0 \n", "14 0.0 \n", "15 0.0 \n", "16 0.0 \n", "17 0.0 \n", "18 0.0 \n", "19 0.0 \n", "20 0.0 \n", "21 0.0 \n", "22 0.0 \n", "23 0.0 \n", "24 0.0 \n", "25 0.0 \n", "26 0.0 \n", "27 0.7 \n", "28 0.0 \n", "29 0.0 \n", "... ... \n", "1290 0.0 \n", "1291 0.0 \n", "1292 0.0 \n", "1293 0.0 \n", "1294 0.0 \n", "1295 0.0 \n", "1296 0.0 \n", "1297 0.0 \n", "1298 0.0 \n", "1299 0.0 \n", "1300 0.0 \n", "1301 0.0 \n", "1302 0.0 \n", "1303 0.0 \n", "1304 0.0 \n", "1305 0.0 \n", "1306 0.0 \n", "1307 0.0 \n", "1308 0.0 \n", "1309 0.0 \n", "1310 0.0 \n", "1311 0.0 \n", "1312 0.0 \n", "1313 0.0 \n", "1314 0.0 \n", "1315 0.0 \n", "1316 - \n", "1317 - \n", "1318 - \n", "1319 0.0 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Some other race alone \\\n", "0 0.3 \n", "1 0.2 \n", "2 0.0 \n", "3 0.0 \n", "4 0.7 \n", "5 0.0 \n", "6 0.0 \n", "7 0.0 \n", "8 0.2 \n", "9 0.4 \n", "10 0.5 \n", "11 0.7 \n", "12 0.0 \n", "13 0.2 \n", "14 0.3 \n", "15 0.0 \n", "16 0.4 \n", "17 0.0 \n", "18 1.4 \n", "19 0.0 \n", "20 0.0 \n", "21 0.0 \n", "22 0.0 \n", "23 0.0 \n", "24 0.0 \n", "25 0.8 \n", "26 0.5 \n", "27 0.0 \n", "28 0.2 \n", "29 0.0 \n", "... ... \n", "1290 0.0 \n", "1291 0.0 \n", "1292 0.5 \n", "1293 0.0 \n", "1294 0.0 \n", "1295 0.5 \n", "1296 0.4 \n", "1297 0.5 \n", "1298 0.0 \n", "1299 0.0 \n", "1300 0.2 \n", "1301 0.0 \n", "1302 0.0 \n", "1303 0.0 \n", "1304 0.2 \n", "1305 0.0 \n", "1306 0.0 \n", "1307 0.0 \n", "1308 0.0 \n", "1309 0.5 \n", "1310 0.0 \n", "1311 0.0 \n", "1312 0.0 \n", "1313 0.4 \n", "1314 0.0 \n", "1315 0.0 \n", "1316 - \n", "1317 - \n", "1318 - \n", "1319 0.2 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races \\\n", "0 2.8 \n", "1 2.0 \n", "2 2.3 \n", "3 1.6 \n", "4 3.0 \n", "5 4.9 \n", "6 2.0 \n", "7 5.8 \n", "8 2.9 \n", "9 2.5 \n", "10 3.0 \n", "11 4.5 \n", "12 2.4 \n", "13 0.8 \n", "14 2.3 \n", "15 1.5 \n", "16 9.4 \n", "17 2.5 \n", "18 2.2 \n", "19 4.5 \n", "20 4.3 \n", "21 2.9 \n", "22 3.3 \n", "23 2.1 \n", "24 0.4 \n", "25 2.5 \n", "26 2.3 \n", "27 2.7 \n", "28 9.5 \n", "29 0.3 \n", "... ... \n", "1290 1.5 \n", "1291 0.0 \n", "1292 0.6 \n", "1293 0.0 \n", "1294 1.0 \n", "1295 1.8 \n", "1296 3.3 \n", "1297 3.3 \n", "1298 0.4 \n", "1299 2.5 \n", "1300 4.3 \n", "1301 0.0 \n", "1302 0.0 \n", "1303 1.2 \n", "1304 0.0 \n", "1305 0.0 \n", "1306 0.0 \n", "1307 2.2 \n", "1308 0.9 \n", "1309 0.4 \n", "1310 7.9 \n", "1311 0.0 \n", "1312 1.2 \n", "1313 2.9 \n", "1314 0.3 \n", "1315 0.3 \n", "1316 - \n", "1317 - \n", "1318 - \n", "1319 1.6 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races including Some other race \\\n", "0 0.3 \n", "1 0.0 \n", "2 0.8 \n", "3 0.0 \n", "4 0.9 \n", "5 0.0 \n", "6 0.6 \n", "7 2.0 \n", "8 0.0 \n", "9 0.0 \n", "10 0.0 \n", "11 0.0 \n", "12 0.0 \n", "13 0.3 \n", "14 0.0 \n", "15 0.4 \n", "16 1.3 \n", "17 0.8 \n", "18 0.7 \n", "19 3.9 \n", "20 1.7 \n", "21 0.5 \n", "22 0.0 \n", "23 0.0 \n", "24 0.2 \n", "25 0.4 \n", "26 0.0 \n", "27 0.6 \n", "28 1.6 \n", "29 0.0 \n", "... ... \n", "1290 0.0 \n", "1291 0.0 \n", "1292 0.0 \n", "1293 0.0 \n", "1294 0.0 \n", "1295 0.0 \n", "1296 0.2 \n", "1297 1.3 \n", "1298 0.0 \n", "1299 0.4 \n", "1300 0.0 \n", "1301 0.0 \n", "1302 0.0 \n", "1303 0.2 \n", "1304 0.0 \n", "1305 0.0 \n", "1306 0.0 \n", "1307 0.3 \n", "1308 0.0 \n", "1309 0.3 \n", "1310 0.0 \n", "1311 0.0 \n", "1312 0.0 \n", "1313 0.0 \n", "1314 0.0 \n", "1315 0.0 \n", "1316 - \n", "1317 - \n", "1318 - \n", "1319 0.1 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Not Hispanic or Latino - Two or more races - Two races excluding Some other race, and Three or more races \\\n", "0 2.4 \n", "1 2.0 \n", "2 1.5 \n", "3 1.6 \n", "4 2.1 \n", "5 4.9 \n", "6 1.3 \n", "7 3.8 \n", "8 2.9 \n", "9 2.5 \n", "10 3.0 \n", "11 4.5 \n", "12 2.4 \n", "13 0.6 \n", "14 2.3 \n", "15 1.1 \n", "16 8.1 \n", "17 1.7 \n", "18 1.5 \n", "19 0.6 \n", "20 2.6 \n", "21 2.4 \n", "22 3.3 \n", "23 2.1 \n", "24 0.2 \n", "25 2.1 \n", "26 2.3 \n", "27 2.0 \n", "28 8.0 \n", "29 0.3 \n", "... ... \n", "1290 1.5 \n", "1291 0.0 \n", "1292 0.6 \n", "1293 0.0 \n", "1294 1.0 \n", "1295 1.8 \n", "1296 3.1 \n", "1297 2.0 \n", "1298 0.4 \n", "1299 2.1 \n", "1300 4.3 \n", "1301 0.0 \n", "1302 0.0 \n", "1303 1.0 \n", "1304 0.0 \n", "1305 0.0 \n", "1306 0.0 \n", "1307 2.0 \n", "1308 0.9 \n", "1309 0.1 \n", "1310 7.9 \n", "1311 0.0 \n", "1312 1.2 \n", "1313 2.9 \n", "1314 0.3 \n", "1315 0.3 \n", "1316 - \n", "1317 - \n", "1318 - \n", "1319 1.5 \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total housing units \n", "0 (X) \n", "1 (X) \n", "2 (X) \n", "3 (X) \n", "4 (X) \n", "5 (X) \n", "6 (X) \n", "7 (X) \n", "8 (X) \n", "9 (X) \n", "10 (X) \n", "11 (X) \n", "12 (X) \n", "13 (X) \n", "14 (X) \n", "15 (X) \n", "16 (X) \n", "17 (X) \n", "18 (X) \n", "19 (X) \n", "20 (X) \n", "21 (X) \n", "22 (X) \n", "23 (X) \n", "24 (X) \n", "25 (X) \n", "26 (X) \n", "27 (X) \n", "28 (X) \n", "29 (X) \n", "... ... \n", "1290 (X) \n", "1291 (X) \n", "1292 (X) \n", "1293 (X) \n", "1294 (X) \n", "1295 (X) \n", "1296 (X) \n", "1297 (X) \n", "1298 (X) \n", "1299 (X) \n", "1300 (X) \n", "1301 (X) \n", "1302 (X) \n", "1303 (X) \n", "1304 (X) \n", "1305 (X) \n", "1306 (X) \n", "1307 (X) \n", "1308 (X) \n", "1309 (X) \n", "1310 (X) \n", "1311 (X) \n", "1312 (X) \n", "1313 (X) \n", "1314 (X) \n", "1315 (X) \n", "1316 (X) \n", "1317 (X) \n", "1318 (X) \n", "1319 (X) \n", "\n", "[1320 rows x 17 columns]" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "il_acs_15[hisp_cols]" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [], "source": [ "CSV_PATH = os.path.join('data', 'hacknight_ticket_sample_data_2015.csv')\n", "df = pd.read_csv(CSV_PATH,low_memory=False, parse_dates=['issue_date', 'ticket_queue_date'])" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [], "source": [ "CSV_PATH = os.path.join('data', 'hacknight_sample_data_geocode_cleaned.csv')\n", "addrs_df = pd.read_csv(CSV_PATH)" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ticket_numberissue_dateviolation_locationlicense_plate_numberlicense_plate_statelicense_plate_typezipcodeviolation_codeviolation_descriptionunitunit_descriptionvehicle_makefine_level1_amountfine_level2_amountcurrent_amount_duetotal_paymentsticket_queueticket_queue_datenotice_levelhearing_dispositionnotice_numberofficeraddresslatlng
091888146212015-05-07 13:52:002134 S ARCHER AV7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352...MIPAS481030964190AEXP. METER NON-CENTRAL BUSINESS DISTRICT498DOFBUIC501000.050.0Paid2015-05-13NaNNaN07982100 s archer av, chicago, il41.854262-87.631986
191888146212015-05-07 13:52:002134 S ARCHER AV7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352...MIPAS481030964190AEXP. METER NON-CENTRAL BUSINESS DISTRICT498DOFBUIC501000.050.0Paid2015-05-13NaNNaN07982100 s archer av, chicago, il41.854262-87.631986
291888146212015-05-07 13:52:002134 S ARCHER AV7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352...MIPAS481030964190AEXP. METER NON-CENTRAL BUSINESS DISTRICT498DOFBUIC501000.050.0Paid2015-05-13NaNNaN07982100 s archer av, chicago, il41.854262-87.631986
391888146212015-05-07 13:52:002134 S ARCHER AV7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352...MIPAS481030964190AEXP. METER NON-CENTRAL BUSINESS DISTRICT498DOFBUIC501000.050.0Paid2015-05-13NaNNaN07982100 s archer av, chicago, il41.854262-87.631986
491888146212015-05-07 13:52:002134 S ARCHER AV7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352...MIPAS481030964190AEXP. METER NON-CENTRAL BUSINESS DISTRICT498DOFBUIC501000.050.0Paid2015-05-13NaNNaN07982100 s archer av, chicago, il41.854262-87.631986
\n", "
" ], "text/plain": [ " ticket_number issue_date violation_location \\\n", "0 9188814621 2015-05-07 13:52:00 2134 S ARCHER AV \n", "1 9188814621 2015-05-07 13:52:00 2134 S ARCHER AV \n", "2 9188814621 2015-05-07 13:52:00 2134 S ARCHER AV \n", "3 9188814621 2015-05-07 13:52:00 2134 S ARCHER AV \n", "4 9188814621 2015-05-07 13:52:00 2134 S ARCHER AV \n", "\n", " license_plate_number license_plate_state \\\n", "0 7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352... MI \n", "1 7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352... MI \n", "2 7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352... MI \n", "3 7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352... MI \n", "4 7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352... MI \n", "\n", " license_plate_type zipcode violation_code \\\n", "0 PAS 48103 0964190A \n", "1 PAS 48103 0964190A \n", "2 PAS 48103 0964190A \n", "3 PAS 48103 0964190A \n", "4 PAS 48103 0964190A \n", "\n", " violation_description unit unit_description \\\n", "0 EXP. METER NON-CENTRAL BUSINESS DISTRICT 498 DOF \n", "1 EXP. METER NON-CENTRAL BUSINESS DISTRICT 498 DOF \n", "2 EXP. METER NON-CENTRAL BUSINESS DISTRICT 498 DOF \n", "3 EXP. METER NON-CENTRAL BUSINESS DISTRICT 498 DOF \n", "4 EXP. METER NON-CENTRAL BUSINESS DISTRICT 498 DOF \n", "\n", " vehicle_make fine_level1_amount fine_level2_amount current_amount_due \\\n", "0 BUIC 50 100 0.0 \n", "1 BUIC 50 100 0.0 \n", "2 BUIC 50 100 0.0 \n", "3 BUIC 50 100 0.0 \n", "4 BUIC 50 100 0.0 \n", "\n", " total_payments ticket_queue ticket_queue_date notice_level \\\n", "0 50.0 Paid 2015-05-13 NaN \n", "1 50.0 Paid 2015-05-13 NaN \n", "2 50.0 Paid 2015-05-13 NaN \n", "3 50.0 Paid 2015-05-13 NaN \n", "4 50.0 Paid 2015-05-13 NaN \n", "\n", " hearing_disposition notice_number officer address \\\n", "0 NaN 0 798 2100 s archer av, chicago, il \n", "1 NaN 0 798 2100 s archer av, chicago, il \n", "2 NaN 0 798 2100 s archer av, chicago, il \n", "3 NaN 0 798 2100 s archer av, chicago, il \n", "4 NaN 0 798 2100 s archer av, chicago, il \n", "\n", " lat lng \n", "0 41.854262 -87.631986 \n", "1 41.854262 -87.631986 \n", "2 41.854262 -87.631986 \n", "3 41.854262 -87.631986 \n", "4 41.854262 -87.631986 " ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "geocoded_df = pd.merge(left=df, right=addrs_df, how='inner', on='address')\n", "geocoded_df.head()" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "point_maker = lambda x: Point(x['lng'], x['lat'])" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [], "source": [ "geocoded_df['geometry'] = geocoded_df.apply(point_maker, axis=1)" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [], "source": [ "def assign_census_tracts(df, shape_df):\n", " \"\"\"Joins DataFrame with region shapefile.\n", " This function takes a DataFrame containing latitude and longitude values and\n", " a GeopandasDataFrame that describes regions that those lat-long pairs are sorted\n", " into. This should facilitate pairing with Census data that can introduce other\n", " features like racial demographics.\n", " Parameters\n", " ----------\n", " df : pandas.DataFrame or dask.DataFrame\n", " DataFrame containing latitudes, longitudes, and location_id columns.\n", " shape_df: a GeopandasDataFrame containing regions to map to.\n", " Name of series to return. \n", " \"\"\"\n", "\n", " # make a copy since we will modify lats and lons\n", " localdf = df.copy()\n", " localdf['lng'] = localdf['lng'].fillna(value=0.)\n", " localdf['lat'] = localdf['lat'].fillna(value=0.)\n", " \n", " shape_df = shape_df.to_crs({'init': 'epsg:4326'})\n", "\n", " try:\n", " local_gdf = gpd.GeoDataFrame(\n", " localdf, crs={'init': 'epsg:4326'},\n", " geometry=[Point(xy) for xy in zip(localdf['lng'], localdf['lat'])]\n", " )\n", "\n", " local_gdf = gpd.sjoin(local_gdf, shape_df, how='left', op='within')\n", "\n", " return local_gdf\n", " except ValueError as ve:\n", " print(ve)\n", " print(ve.stacktrace())\n", " series = localdf['lng']\n", " series = np.nan\n", " return series" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [], "source": [ "ZIP_SHP_PATH = os.path.join('zip://', 'data', 'Boundaries - Census Tracts - 2010.zip')\n", "coord_system = {'init': 'epsg:4326'}\n", "chicago_census_tracts = gpd.read_file(ZIP_SHP_PATH).to_crs(coord_system)" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 50, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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ticket_numberissue_dateviolation_locationlicense_plate_numberlicense_plate_statelicense_plate_typezipcodeviolation_codeviolation_descriptionunitunit_descriptionvehicle_makefine_level1_amountfine_level2_amountcurrent_amount_duetotal_paymentsticket_queueticket_queue_datenotice_levelhearing_dispositionnotice_numberofficeraddresslatlnggeometryindex_rightstatefp10countyfp10tractce10namelsad10commareageoid10commarea_nname10notes
091888146212015-05-07 13:52:002134 S ARCHER AV7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352...MIPAS481030964190AEXP. METER NON-CENTRAL BUSINESS DISTRICT498DOFBUIC501000.050.0Paid2015-05-13NaNNaN07982100 s archer av, chicago, il41.854262-87.631986POINT (-87.63198586874586 41.85426174412816)2.017031841100Census Tract 8411341703184110034.08411None
191888146212015-05-07 13:52:002134 S ARCHER AV7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352...MIPAS481030964190AEXP. METER NON-CENTRAL BUSINESS DISTRICT498DOFBUIC501000.050.0Paid2015-05-13NaNNaN07982100 s archer av, chicago, il41.854262-87.631986POINT (-87.63198586874586 41.85426174412816)2.017031841100Census Tract 8411341703184110034.08411None
291888146212015-05-07 13:52:002134 S ARCHER AV7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352...MIPAS481030964190AEXP. METER NON-CENTRAL BUSINESS DISTRICT498DOFBUIC501000.050.0Paid2015-05-13NaNNaN07982100 s archer av, chicago, il41.854262-87.631986POINT (-87.63198586874586 41.85426174412816)2.017031841100Census Tract 8411341703184110034.08411None
391888146212015-05-07 13:52:002134 S ARCHER AV7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352...MIPAS481030964190AEXP. METER NON-CENTRAL BUSINESS DISTRICT498DOFBUIC501000.050.0Paid2015-05-13NaNNaN07982100 s archer av, chicago, il41.854262-87.631986POINT (-87.63198586874586 41.85426174412816)2.017031841100Census Tract 8411341703184110034.08411None
491888146212015-05-07 13:52:002134 S ARCHER AV7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352...MIPAS481030964190AEXP. METER NON-CENTRAL BUSINESS DISTRICT498DOFBUIC501000.050.0Paid2015-05-13NaNNaN07982100 s archer av, chicago, il41.854262-87.631986POINT (-87.63198586874586 41.85426174412816)2.017031841100Census Tract 8411341703184110034.08411None
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" ], "text/plain": [ " ticket_number issue_date violation_location \\\n", "0 9188814621 2015-05-07 13:52:00 2134 S ARCHER AV \n", "1 9188814621 2015-05-07 13:52:00 2134 S ARCHER AV \n", "2 9188814621 2015-05-07 13:52:00 2134 S ARCHER AV \n", "3 9188814621 2015-05-07 13:52:00 2134 S ARCHER AV \n", "4 9188814621 2015-05-07 13:52:00 2134 S ARCHER AV \n", "\n", " license_plate_number license_plate_state \\\n", "0 7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352... MI \n", "1 7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352... MI \n", "2 7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352... MI \n", "3 7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352... MI \n", "4 7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352... MI \n", "\n", " license_plate_type zipcode violation_code \\\n", "0 PAS 48103 0964190A \n", "1 PAS 48103 0964190A \n", "2 PAS 48103 0964190A \n", "3 PAS 48103 0964190A \n", "4 PAS 48103 0964190A \n", "\n", " violation_description unit unit_description \\\n", "0 EXP. METER NON-CENTRAL BUSINESS DISTRICT 498 DOF \n", "1 EXP. METER NON-CENTRAL BUSINESS DISTRICT 498 DOF \n", "2 EXP. METER NON-CENTRAL BUSINESS DISTRICT 498 DOF \n", "3 EXP. METER NON-CENTRAL BUSINESS DISTRICT 498 DOF \n", "4 EXP. METER NON-CENTRAL BUSINESS DISTRICT 498 DOF \n", "\n", " vehicle_make fine_level1_amount fine_level2_amount current_amount_due \\\n", "0 BUIC 50 100 0.0 \n", "1 BUIC 50 100 0.0 \n", "2 BUIC 50 100 0.0 \n", "3 BUIC 50 100 0.0 \n", "4 BUIC 50 100 0.0 \n", "\n", " total_payments ticket_queue ticket_queue_date notice_level \\\n", "0 50.0 Paid 2015-05-13 NaN \n", "1 50.0 Paid 2015-05-13 NaN \n", "2 50.0 Paid 2015-05-13 NaN \n", "3 50.0 Paid 2015-05-13 NaN \n", "4 50.0 Paid 2015-05-13 NaN \n", "\n", " hearing_disposition notice_number officer address \\\n", "0 NaN 0 798 2100 s archer av, chicago, il \n", "1 NaN 0 798 2100 s archer av, chicago, il \n", "2 NaN 0 798 2100 s archer av, chicago, il \n", "3 NaN 0 798 2100 s archer av, chicago, il \n", "4 NaN 0 798 2100 s archer av, chicago, il \n", "\n", " lat lng geometry \\\n", "0 41.854262 -87.631986 POINT (-87.63198586874586 41.85426174412816) \n", "1 41.854262 -87.631986 POINT (-87.63198586874586 41.85426174412816) \n", "2 41.854262 -87.631986 POINT (-87.63198586874586 41.85426174412816) \n", "3 41.854262 -87.631986 POINT (-87.63198586874586 41.85426174412816) \n", "4 41.854262 -87.631986 POINT (-87.63198586874586 41.85426174412816) \n", "\n", " index_right statefp10 countyfp10 tractce10 namelsad10 commarea \\\n", "0 2.0 17 031 841100 Census Tract 8411 34 \n", "1 2.0 17 031 841100 Census Tract 8411 34 \n", "2 2.0 17 031 841100 Census Tract 8411 34 \n", "3 2.0 17 031 841100 Census Tract 8411 34 \n", "4 2.0 17 031 841100 Census Tract 8411 34 \n", "\n", " geoid10 commarea_n name10 notes \n", "0 17031841100 34.0 8411 None \n", "1 17031841100 34.0 8411 None \n", "2 17031841100 34.0 8411 None \n", "3 17031841100 34.0 8411 None \n", "4 17031841100 34.0 8411 None " ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "full_df.head()" ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 1320 entries, 0 to 1319\n", "Data columns (total 5 columns):\n", "Id2 1320 non-null int64\n", "Percent; RACE - One race - White 1320 non-null object\n", "Percent; RACE - One race - Black or African American 1320 non-null object\n", "Percent; RACE - One race - Asian 1320 non-null object\n", "Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) 1320 non-null object\n", "dtypes: int64(1), object(4)\n", "memory usage: 51.6+ KB\n" ] } ], "source": [ "race_df.info()" ] }, { "cell_type": "code", "execution_count": 72, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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statefp10countyfp10tractce10namelsad10commareageoid10commarea_nname10notesgeometryId2Percent; RACE - One race - WhitePercent; RACE - One race - Black or African AmericanPercent; RACE - One race - AsianPercent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race)
017031842400Census Tract 8424441703184240044.08424NonePOLYGON ((-87.62404799998049 41.73021699998396...NaNNaNNaNNaNNaN
117031840300Census Tract 8403591703184030059.08403NonePOLYGON ((-87.6860799999848 41.82295600001154,...NaNNaNNaNNaNNaN
217031841100Census Tract 8411341703184110034.08411NonePOLYGON ((-87.62934700001183 41.8527970000265,...NaNNaNNaNNaNNaN
317031841200Census Tract 8412311703184120031.08412NonePOLYGON ((-87.68813499997718 41.85569099999095...NaNNaNNaNNaNNaN
417031838200Census Tract 8382281703183820028.08382NonePOLYGON ((-87.66781999997529 41.8741839999791,...NaNNaNNaNNaNNaN
517031650301Census Tract 6503.01651703165030165.06503.01NonePOLYGON ((-87.73706400002477 41.77120399998377...NaNNaNNaNNaNNaN
617031530503Census Tract 5305.03531703153050353.05305.03NonePOLYGON ((-87.64386399998179 41.66321000002088...NaNNaNNaNNaNNaN
717031760803Census Tract 7608.03761703176080376.07608.03NonePOLYGON ((-87.83844200004106 41.97019999997084...NaNNaNNaNNaNNaN
817031540102Census Tract 5401.02541703154010254.05401.02NonePOLYGON ((-87.6188529999847 41.65641699997538,...NaNNaNNaNNaNNaN
917031540101Census Tract 5401.01541703154010154.05401.01NonePOLYGON ((-87.61891699998056 41.65640000000292...NaNNaNNaNNaNNaN
1017031440201Census Tract 4402.01441703144020144.04402.01NonePOLYGON ((-87.61235000001714 41.74567799999993...NaNNaNNaNNaNNaN
1117031839000Census Tract 8390321703183900032.08390NonePOLYGON ((-87.63312200003458 41.87448800002695...NaNNaNNaNNaNNaN
1217031030601Census Tract 306.01771703103060177.0306.01NonePOLYGON ((-87.6543830000042 41.99020200000391,...NaNNaNNaNNaNNaN
1317031030604Census Tract 306.04771703103060477.0306.04NonePOLYGON ((-87.64890400001316 41.98805300003046...NaNNaNNaNNaNNaN
1417031020801Census Tract 208.012170310208012.0208.01NonePOLYGON ((-87.6900509999568 41.98316600000329,...NaNNaNNaNNaNNaN
1517031843300Census Tract 8433291703184330029.08433NonePOLYGON ((-87.68821699998962 41.85933700002633...NaNNaNNaNNaNNaN
1617031080202Census Tract 802.028170310802028.0802.02NonePOLYGON ((-87.63250099997225 41.9077530000167,...NaNNaNNaNNaNNaN
1717031070102Census Tract 701.027170310701027.0701.02NonePOLYGON ((-87.64134300001398 41.93286999998789...NaNNaNNaNNaNNaN
1817031031501Census Tract 315.013170310315013.0315.01NonePOLYGON ((-87.65001900000163 41.96548800002778...NaNNaNNaNNaNNaN
1917031031502Census Tract 315.023170310315023.0315.02NonePOLYGON ((-87.64998799995692 41.96451299999013...NaNNaNNaNNaNNaN
2017031834900Census Tract 8349671703183490067.08349NonePOLYGON ((-87.65445700000026 41.77796299997031...NaNNaNNaNNaNNaN
2117031834800Census Tract 8348681703183480068.08348NonePOLYGON ((-87.6496539999827 41.78006600001602,...NaNNaNNaNNaNNaN
2217031160502Census Tract 1605.02161703116050216.01605.02NonePOLYGON ((-87.71731099997037 41.95743799998775...NaNNaNNaNNaNNaN
2317031140702Census Tract 1407.02141703114070214.01407.02NonePOLYGON ((-87.71330799996295 41.96658299997856...NaNNaNNaNNaNNaN
2417031842000Census Tract 8420351703184200035.08420NonePOLYGON ((-87.62905399997636 41.83827300000528...NaNNaNNaNNaNNaN
2517031150402Census Tract 1504.02151703115040215.01504.02NonePOLYGON ((-87.77703600004233 41.96080600000759...NaNNaNNaNNaNNaN
2617031834400Census Tract 8344421703183440042.08344NonePOLYGON ((-87.59170000000151 41.77691800000404...NaNNaNNaNNaNNaN
2717031040201Census Tract 402.014170310402014.0402.01NonePOLYGON ((-87.69876200001328 41.97072300001417...NaNNaNNaNNaNNaN
2817031040202Census Tract 402.024170310402024.0402.02NonePOLYGON ((-87.6916029999892 41.97587200002319,...NaNNaNNaNNaNNaN
2917031020702Census Tract 207.022170310207022.0207.02NonePOLYGON ((-87.70959900002015 41.99175000001063...NaNNaNNaNNaNNaN
................................................
77117031291200Census Tract 2912291703129120029.02912NonePOLYGON ((-87.7127710000351 41.85899999996719,...NaNNaNNaNNaNNaN
77217031620300Census Tract 6203621703162030062.06203NonePOLYGON ((-87.72309700001856 41.7909409999788,...NaNNaNNaNNaNNaN
77317031620400Census Tract 6204621703162040062.06204NonePOLYGON ((-87.71312000003439 41.78609199996718...NaNNaNNaNNaNNaN
77417031630100Census Tract 6301631703163010063.06301NonePOLYGON ((-87.67901500004358 41.80482499999695...NaNNaNNaNNaNNaN
77517031630300Census Tract 6303631703163030063.06303NonePOLYGON ((-87.7134670000447 41.79520500000756,...NaNNaNNaNNaNNaN
77617031630400Census Tract 6304631703163040063.06304NonePOLYGON ((-87.69398799996556 41.80054200001116...NaNNaNNaNNaNNaN
77717031630500Census Tract 6305631703163050063.06305NonePOLYGON ((-87.68417800003391 41.79933399999008...NaNNaNNaNNaNNaN
77817031110300Census Tract 1103111703111030011.01103NonePOLYGON ((-87.77811600002528 41.97922099998399...NaNNaNNaNNaNNaN
77917031110400Census Tract 1104111703111040011.01104NonePOLYGON ((-87.76516900004339 41.97158399998364...NaNNaNNaNNaNNaN
78017031120100Census Tract 1201121703112010012.01201NonePOLYGON ((-87.77367200001376 41.99292600001029...NaNNaNNaNNaNNaN
78117031120200Census Tract 1202121703112020012.01202NonePOLYGON ((-87.74884400001038 41.98364299996826...NaNNaNNaNNaNNaN
78217031271400Census Tract 2714271703127140027.02714NonePOLYGON ((-87.71080299996187 41.87426299996504...NaNNaNNaNNaNNaN
78317031280100Census Tract 2801281703128010028.02801NonePOLYGON ((-87.64571900003747 41.88179600000515...NaNNaNNaNNaNNaN
78417031280800Census Tract 2808281703128080028.02808NonePOLYGON ((-87.6864299999679 41.88111400003041,...NaNNaNNaNNaNNaN
78517031281900Census Tract 2819281703128190028.02819NonePOLYGON ((-87.64592199996342 41.88178900001063...NaNNaNNaNNaNNaN
78617031550100Census Tract 5501551703155010055.05501NonePOLYGON ((-87.52481300004604 41.6869379999733,...NaNNaNNaNNaNNaN
78717031611500Census Tract 6115611703161150061.06115NonePOLYGON ((-87.6791730000365 41.80475599998746,...NaNNaNNaNNaNNaN
78817031611800Census Tract 6118611703161180061.06118NonePOLYGON ((-87.66951900000873 41.79669000001066...NaNNaNNaNNaNNaN
78917031611900Census Tract 6119611703161190061.06119NonePOLYGON ((-87.65491099997799 41.79598999999962...NaNNaNNaNNaNNaN
79017031612000Census Tract 6120611703161200061.06120NonePOLYGON ((-87.6501169999635 41.79823400001716,...NaNNaNNaNNaNNaN
79117031620100Census Tract 6201621703162010062.06201NonePOLYGON ((-87.71347400003852 41.79565199999381...NaNNaNNaNNaNNaN
79217031620200Census Tract 6202621703162020062.06202NonePOLYGON ((-87.73306200000724 41.79661200001753...NaNNaNNaNNaNNaN
79317031070200Census Tract 7027170310702007.0702NonePOLYGON ((-87.64551400000029 41.93278800001222...NaNNaNNaNNaNNaN
79417031070400Census Tract 7047170310704007.0704NonePOLYGON ((-87.65745700003984 41.93257799999479...NaNNaNNaNNaNNaN
79517031070500Census Tract 7057170310705007.0705NonePOLYGON ((-87.66349399996524 41.93036099997366...NaNNaNNaNNaNNaN
79617031071000Census Tract 7107170310710007.0710NonePOLYGON ((-87.65338399996253 41.91856199998072...NaNNaNNaNNaNNaN
79717031071200Census Tract 7127170310712007.0712NonePOLYGON ((-87.64378699999278 41.92188799997481...NaNNaNNaNNaNNaN
79817031130300Census Tract 1303131703113030013.01303NonePOLYGON ((-87.71436299999318 41.9829969999959,...NaNNaNNaNNaNNaN
79917031292200Census Tract 2922291703129220029.02922NonePOLYGON ((-87.71317299997403 41.85523099997786...NaNNaNNaNNaNNaN
80017031630900Census Tract 6309631703163090063.06309NonePOLYGON ((-87.71128900002743 41.7933979999645,...NaNNaNNaNNaNNaN
\n", "

801 rows × 15 columns

\n", "
" ], "text/plain": [ " statefp10 countyfp10 tractce10 namelsad10 commarea \\\n", "0 17 031 842400 Census Tract 8424 44 \n", "1 17 031 840300 Census Tract 8403 59 \n", "2 17 031 841100 Census Tract 8411 34 \n", "3 17 031 841200 Census Tract 8412 31 \n", "4 17 031 838200 Census Tract 8382 28 \n", "5 17 031 650301 Census Tract 6503.01 65 \n", "6 17 031 530503 Census Tract 5305.03 53 \n", "7 17 031 760803 Census Tract 7608.03 76 \n", "8 17 031 540102 Census Tract 5401.02 54 \n", "9 17 031 540101 Census Tract 5401.01 54 \n", "10 17 031 440201 Census Tract 4402.01 44 \n", "11 17 031 839000 Census Tract 8390 32 \n", "12 17 031 030601 Census Tract 306.01 77 \n", "13 17 031 030604 Census Tract 306.04 77 \n", "14 17 031 020801 Census Tract 208.01 2 \n", "15 17 031 843300 Census Tract 8433 29 \n", "16 17 031 080202 Census Tract 802.02 8 \n", "17 17 031 070102 Census Tract 701.02 7 \n", "18 17 031 031501 Census Tract 315.01 3 \n", "19 17 031 031502 Census Tract 315.02 3 \n", "20 17 031 834900 Census Tract 8349 67 \n", "21 17 031 834800 Census Tract 8348 68 \n", "22 17 031 160502 Census Tract 1605.02 16 \n", "23 17 031 140702 Census Tract 1407.02 14 \n", "24 17 031 842000 Census Tract 8420 35 \n", "25 17 031 150402 Census Tract 1504.02 15 \n", "26 17 031 834400 Census Tract 8344 42 \n", "27 17 031 040201 Census Tract 402.01 4 \n", "28 17 031 040202 Census Tract 402.02 4 \n", "29 17 031 020702 Census Tract 207.02 2 \n", ".. ... ... ... ... ... \n", "771 17 031 291200 Census Tract 2912 29 \n", "772 17 031 620300 Census Tract 6203 62 \n", "773 17 031 620400 Census Tract 6204 62 \n", "774 17 031 630100 Census Tract 6301 63 \n", "775 17 031 630300 Census Tract 6303 63 \n", "776 17 031 630400 Census Tract 6304 63 \n", "777 17 031 630500 Census Tract 6305 63 \n", "778 17 031 110300 Census Tract 1103 11 \n", "779 17 031 110400 Census Tract 1104 11 \n", "780 17 031 120100 Census Tract 1201 12 \n", "781 17 031 120200 Census Tract 1202 12 \n", "782 17 031 271400 Census Tract 2714 27 \n", "783 17 031 280100 Census Tract 2801 28 \n", "784 17 031 280800 Census Tract 2808 28 \n", "785 17 031 281900 Census Tract 2819 28 \n", "786 17 031 550100 Census Tract 5501 55 \n", "787 17 031 611500 Census Tract 6115 61 \n", "788 17 031 611800 Census Tract 6118 61 \n", "789 17 031 611900 Census Tract 6119 61 \n", "790 17 031 612000 Census Tract 6120 61 \n", "791 17 031 620100 Census Tract 6201 62 \n", "792 17 031 620200 Census Tract 6202 62 \n", "793 17 031 070200 Census Tract 702 7 \n", "794 17 031 070400 Census Tract 704 7 \n", "795 17 031 070500 Census Tract 705 7 \n", "796 17 031 071000 Census Tract 710 7 \n", "797 17 031 071200 Census Tract 712 7 \n", "798 17 031 130300 Census Tract 1303 13 \n", "799 17 031 292200 Census Tract 2922 29 \n", "800 17 031 630900 Census Tract 6309 63 \n", "\n", " geoid10 commarea_n name10 notes \\\n", "0 17031842400 44.0 8424 None \n", "1 17031840300 59.0 8403 None \n", "2 17031841100 34.0 8411 None \n", "3 17031841200 31.0 8412 None \n", "4 17031838200 28.0 8382 None \n", "5 17031650301 65.0 6503.01 None \n", "6 17031530503 53.0 5305.03 None \n", "7 17031760803 76.0 7608.03 None \n", "8 17031540102 54.0 5401.02 None \n", "9 17031540101 54.0 5401.01 None \n", "10 17031440201 44.0 4402.01 None \n", "11 17031839000 32.0 8390 None \n", "12 17031030601 77.0 306.01 None \n", "13 17031030604 77.0 306.04 None \n", "14 17031020801 2.0 208.01 None \n", "15 17031843300 29.0 8433 None \n", "16 17031080202 8.0 802.02 None \n", "17 17031070102 7.0 701.02 None \n", "18 17031031501 3.0 315.01 None \n", "19 17031031502 3.0 315.02 None \n", "20 17031834900 67.0 8349 None \n", "21 17031834800 68.0 8348 None \n", "22 17031160502 16.0 1605.02 None \n", "23 17031140702 14.0 1407.02 None \n", "24 17031842000 35.0 8420 None \n", "25 17031150402 15.0 1504.02 None \n", "26 17031834400 42.0 8344 None \n", "27 17031040201 4.0 402.01 None \n", "28 17031040202 4.0 402.02 None \n", "29 17031020702 2.0 207.02 None \n", ".. ... ... ... ... \n", "771 17031291200 29.0 2912 None \n", "772 17031620300 62.0 6203 None \n", "773 17031620400 62.0 6204 None \n", "774 17031630100 63.0 6301 None \n", "775 17031630300 63.0 6303 None \n", "776 17031630400 63.0 6304 None \n", "777 17031630500 63.0 6305 None \n", "778 17031110300 11.0 1103 None \n", "779 17031110400 11.0 1104 None \n", "780 17031120100 12.0 1201 None \n", "781 17031120200 12.0 1202 None \n", "782 17031271400 27.0 2714 None \n", "783 17031280100 28.0 2801 None \n", "784 17031280800 28.0 2808 None \n", "785 17031281900 28.0 2819 None \n", "786 17031550100 55.0 5501 None \n", "787 17031611500 61.0 6115 None \n", "788 17031611800 61.0 6118 None \n", "789 17031611900 61.0 6119 None \n", "790 17031612000 61.0 6120 None \n", "791 17031620100 62.0 6201 None \n", "792 17031620200 62.0 6202 None \n", "793 17031070200 7.0 702 None \n", "794 17031070400 7.0 704 None \n", "795 17031070500 7.0 705 None \n", "796 17031071000 7.0 710 None \n", "797 17031071200 7.0 712 None \n", "798 17031130300 13.0 1303 None \n", "799 17031292200 29.0 2922 None \n", "800 17031630900 63.0 6309 None \n", "\n", " geometry Id2 \\\n", "0 POLYGON ((-87.62404799998049 41.73021699998396... NaN \n", "1 POLYGON ((-87.6860799999848 41.82295600001154,... NaN \n", "2 POLYGON ((-87.62934700001183 41.8527970000265,... NaN \n", "3 POLYGON ((-87.68813499997718 41.85569099999095... NaN \n", "4 POLYGON ((-87.66781999997529 41.8741839999791,... NaN \n", "5 POLYGON ((-87.73706400002477 41.77120399998377... NaN \n", "6 POLYGON ((-87.64386399998179 41.66321000002088... NaN \n", "7 POLYGON ((-87.83844200004106 41.97019999997084... NaN \n", "8 POLYGON ((-87.6188529999847 41.65641699997538,... NaN \n", "9 POLYGON ((-87.61891699998056 41.65640000000292... NaN \n", "10 POLYGON ((-87.61235000001714 41.74567799999993... NaN \n", "11 POLYGON ((-87.63312200003458 41.87448800002695... NaN \n", "12 POLYGON ((-87.6543830000042 41.99020200000391,... NaN \n", "13 POLYGON ((-87.64890400001316 41.98805300003046... NaN \n", "14 POLYGON ((-87.6900509999568 41.98316600000329,... NaN \n", "15 POLYGON ((-87.68821699998962 41.85933700002633... NaN \n", "16 POLYGON ((-87.63250099997225 41.9077530000167,... NaN \n", "17 POLYGON ((-87.64134300001398 41.93286999998789... NaN \n", "18 POLYGON ((-87.65001900000163 41.96548800002778... NaN \n", "19 POLYGON ((-87.64998799995692 41.96451299999013... NaN \n", "20 POLYGON ((-87.65445700000026 41.77796299997031... NaN \n", "21 POLYGON ((-87.6496539999827 41.78006600001602,... NaN \n", "22 POLYGON ((-87.71731099997037 41.95743799998775... NaN \n", "23 POLYGON ((-87.71330799996295 41.96658299997856... NaN \n", "24 POLYGON ((-87.62905399997636 41.83827300000528... NaN \n", "25 POLYGON ((-87.77703600004233 41.96080600000759... NaN \n", "26 POLYGON ((-87.59170000000151 41.77691800000404... NaN \n", "27 POLYGON ((-87.69876200001328 41.97072300001417... NaN \n", "28 POLYGON ((-87.6916029999892 41.97587200002319,... NaN \n", "29 POLYGON ((-87.70959900002015 41.99175000001063... NaN \n", ".. ... ... \n", "771 POLYGON ((-87.7127710000351 41.85899999996719,... NaN \n", "772 POLYGON ((-87.72309700001856 41.7909409999788,... NaN \n", "773 POLYGON ((-87.71312000003439 41.78609199996718... NaN \n", "774 POLYGON ((-87.67901500004358 41.80482499999695... NaN \n", "775 POLYGON ((-87.7134670000447 41.79520500000756,... NaN \n", "776 POLYGON ((-87.69398799996556 41.80054200001116... NaN \n", "777 POLYGON ((-87.68417800003391 41.79933399999008... NaN \n", "778 POLYGON ((-87.77811600002528 41.97922099998399... NaN \n", "779 POLYGON ((-87.76516900004339 41.97158399998364... NaN \n", "780 POLYGON ((-87.77367200001376 41.99292600001029... NaN \n", "781 POLYGON ((-87.74884400001038 41.98364299996826... NaN \n", "782 POLYGON ((-87.71080299996187 41.87426299996504... NaN \n", "783 POLYGON ((-87.64571900003747 41.88179600000515... NaN \n", "784 POLYGON ((-87.6864299999679 41.88111400003041,... NaN \n", "785 POLYGON ((-87.64592199996342 41.88178900001063... NaN \n", "786 POLYGON ((-87.52481300004604 41.6869379999733,... NaN \n", "787 POLYGON ((-87.6791730000365 41.80475599998746,... NaN \n", "788 POLYGON ((-87.66951900000873 41.79669000001066... NaN \n", "789 POLYGON ((-87.65491099997799 41.79598999999962... NaN \n", "790 POLYGON ((-87.6501169999635 41.79823400001716,... NaN \n", "791 POLYGON ((-87.71347400003852 41.79565199999381... NaN \n", "792 POLYGON ((-87.73306200000724 41.79661200001753... NaN \n", "793 POLYGON ((-87.64551400000029 41.93278800001222... NaN \n", "794 POLYGON ((-87.65745700003984 41.93257799999479... NaN \n", "795 POLYGON ((-87.66349399996524 41.93036099997366... NaN \n", "796 POLYGON ((-87.65338399996253 41.91856199998072... NaN \n", "797 POLYGON ((-87.64378699999278 41.92188799997481... NaN \n", "798 POLYGON ((-87.71436299999318 41.9829969999959,... NaN \n", "799 POLYGON ((-87.71317299997403 41.85523099997786... NaN \n", "800 POLYGON ((-87.71128900002743 41.7933979999645,... NaN \n", "\n", " Percent; RACE - One race - White \\\n", "0 NaN \n", "1 NaN \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "5 NaN \n", "6 NaN \n", "7 NaN \n", "8 NaN \n", "9 NaN \n", "10 NaN \n", "11 NaN \n", "12 NaN \n", "13 NaN \n", "14 NaN \n", "15 NaN \n", "16 NaN \n", "17 NaN \n", "18 NaN \n", "19 NaN \n", "20 NaN \n", "21 NaN \n", "22 NaN \n", "23 NaN \n", "24 NaN \n", "25 NaN \n", "26 NaN \n", "27 NaN \n", "28 NaN \n", "29 NaN \n", ".. ... \n", "771 NaN \n", "772 NaN \n", "773 NaN \n", "774 NaN \n", "775 NaN \n", "776 NaN \n", "777 NaN \n", "778 NaN \n", "779 NaN \n", "780 NaN \n", "781 NaN \n", "782 NaN \n", "783 NaN \n", "784 NaN \n", "785 NaN \n", "786 NaN \n", "787 NaN \n", "788 NaN \n", "789 NaN \n", "790 NaN \n", "791 NaN \n", "792 NaN \n", "793 NaN \n", "794 NaN \n", "795 NaN \n", "796 NaN \n", "797 NaN \n", "798 NaN \n", "799 NaN \n", "800 NaN \n", "\n", " Percent; RACE - One race - Black or African American \\\n", "0 NaN \n", "1 NaN \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "5 NaN \n", "6 NaN \n", "7 NaN \n", "8 NaN \n", "9 NaN \n", "10 NaN \n", "11 NaN \n", "12 NaN \n", "13 NaN \n", "14 NaN \n", "15 NaN \n", "16 NaN \n", "17 NaN \n", "18 NaN \n", "19 NaN \n", "20 NaN \n", "21 NaN \n", "22 NaN \n", "23 NaN \n", "24 NaN \n", "25 NaN \n", "26 NaN \n", "27 NaN \n", "28 NaN \n", "29 NaN \n", ".. ... \n", "771 NaN \n", "772 NaN \n", "773 NaN \n", "774 NaN \n", "775 NaN \n", "776 NaN \n", "777 NaN \n", "778 NaN \n", "779 NaN \n", "780 NaN \n", "781 NaN \n", "782 NaN \n", "783 NaN \n", "784 NaN \n", "785 NaN \n", "786 NaN \n", "787 NaN \n", "788 NaN \n", "789 NaN \n", "790 NaN \n", "791 NaN \n", "792 NaN \n", "793 NaN \n", "794 NaN \n", "795 NaN \n", "796 NaN \n", "797 NaN \n", "798 NaN \n", "799 NaN \n", "800 NaN \n", "\n", " Percent; RACE - One race - Asian \\\n", "0 NaN \n", "1 NaN \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "5 NaN \n", "6 NaN \n", "7 NaN \n", "8 NaN \n", "9 NaN \n", "10 NaN \n", "11 NaN \n", "12 NaN \n", "13 NaN \n", "14 NaN \n", "15 NaN \n", "16 NaN \n", "17 NaN \n", "18 NaN \n", "19 NaN \n", "20 NaN \n", "21 NaN \n", "22 NaN \n", "23 NaN \n", "24 NaN \n", "25 NaN \n", "26 NaN \n", "27 NaN \n", "28 NaN \n", "29 NaN \n", ".. ... \n", "771 NaN \n", "772 NaN \n", "773 NaN \n", "774 NaN \n", "775 NaN \n", "776 NaN \n", "777 NaN \n", "778 NaN \n", "779 NaN \n", "780 NaN \n", "781 NaN \n", "782 NaN \n", "783 NaN \n", "784 NaN \n", "785 NaN \n", "786 NaN \n", "787 NaN \n", "788 NaN \n", "789 NaN \n", "790 NaN \n", "791 NaN \n", "792 NaN \n", "793 NaN \n", "794 NaN \n", "795 NaN \n", "796 NaN \n", "797 NaN \n", "798 NaN \n", "799 NaN \n", "800 NaN \n", "\n", " Percent; HISPANIC OR LATINO AND RACE - Total population - Hispanic or Latino (of any race) \n", "0 NaN \n", "1 NaN \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "5 NaN \n", "6 NaN \n", "7 NaN \n", "8 NaN \n", "9 NaN \n", "10 NaN \n", "11 NaN \n", "12 NaN \n", "13 NaN \n", "14 NaN \n", "15 NaN \n", "16 NaN \n", "17 NaN \n", "18 NaN \n", "19 NaN \n", "20 NaN \n", "21 NaN \n", "22 NaN \n", "23 NaN \n", "24 NaN \n", "25 NaN \n", "26 NaN \n", "27 NaN \n", "28 NaN \n", "29 NaN \n", ".. ... \n", "771 NaN \n", "772 NaN \n", "773 NaN \n", "774 NaN \n", "775 NaN \n", "776 NaN \n", "777 NaN \n", "778 NaN \n", "779 NaN \n", "780 NaN \n", "781 NaN \n", "782 NaN \n", "783 NaN \n", "784 NaN \n", "785 NaN \n", "786 NaN \n", "787 NaN \n", "788 NaN \n", "789 NaN \n", "790 NaN \n", "791 NaN \n", "792 NaN \n", "793 NaN \n", "794 NaN \n", "795 NaN \n", "796 NaN \n", "797 NaN \n", "798 NaN \n", "799 NaN \n", "800 NaN \n", "\n", "[801 rows x 15 columns]" ] }, "execution_count": 127, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.merge(left=chicago_census_tracts, right=race_df, left_on='geoid10', right_on='Id2', how='left') " ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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statefp10countyfp10tractce10namelsad10commareageoid10commarea_nname10notesgeometry
017031842400Census Tract 8424441703184240044.08424NonePOLYGON ((-87.62404799998049 41.73021699998396...
117031840300Census Tract 8403591703184030059.08403NonePOLYGON ((-87.6860799999848 41.82295600001154,...
217031841100Census Tract 8411341703184110034.08411NonePOLYGON ((-87.62934700001183 41.8527970000265,...
317031841200Census Tract 8412311703184120031.08412NonePOLYGON ((-87.68813499997718 41.85569099999095...
417031838200Census Tract 8382281703183820028.08382NonePOLYGON ((-87.66781999997529 41.8741839999791,...
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" ], "text/plain": [ " statefp10 countyfp10 tractce10 namelsad10 commarea geoid10 \\\n", "0 17 031 842400 Census Tract 8424 44 17031842400 \n", "1 17 031 840300 Census Tract 8403 59 17031840300 \n", "2 17 031 841100 Census Tract 8411 34 17031841100 \n", "3 17 031 841200 Census Tract 8412 31 17031841200 \n", "4 17 031 838200 Census Tract 8382 28 17031838200 \n", "\n", " commarea_n name10 notes geometry \n", "0 44.0 8424 None POLYGON ((-87.62404799998049 41.73021699998396... \n", "1 59.0 8403 None POLYGON ((-87.6860799999848 41.82295600001154,... \n", "2 34.0 8411 None POLYGON ((-87.62934700001183 41.8527970000265,... \n", "3 31.0 8412 None POLYGON ((-87.68813499997718 41.85569099999095... \n", "4 28.0 8382 None POLYGON ((-87.66781999997529 41.8741839999791,... " ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "chicago_census_tracts.head()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:geo36]", "language": "python", "name": "conda-env-geo36-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.6" } }, "nbformat": 4, "nbformat_minor": 2 }