{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import calendar \n", "import datetime\n", "import dask.dataframe as dd\n", "import numpy as np \n", "import pandas as pd \n", "import matplotlib.pyplot as plt\n", "import matplotlib.dates as mdates\n", "import seaborn as sns\n", "from IPython.display import SVG, display" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%matplotlib inline\n", "%config InlineBackend.figure_format = 'svg'\n", "\n", "# set neat seaborn whitegrid styles for matplotlib charts\n", "plt.style.use('seaborn')\n", "sns.set_style('whitegrid')\n", "#plt.style.available" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading crime data from: ../data/crimes-2017.snappy.parq\n", "Crime data loaded into memory.\n", "Wall time: 3.19 s\n" ] } ], "source": [ "%%time\n", "# set data file path\n", "parquet_data_folder = '../data/crimes-2017.snappy.parq'\n", "print('Loading crime data from: {}'.format(parquet_data_folder))\n", "\n", "# load crimes parquet data into dask df\n", "crimes = dd.read_parquet(parquet_data_folder, index='Date')\n", "\n", "# load all data into memory\n", "crimes = crimes.persist()\n", "print('Crime data loaded into memory.')" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Crime data stats:\n", "---------------------------------------\n", "172,030 total records in 1 partitions\n", "DataFrame size: 2,408,420\n", "Wall time: 0 ns\n" ] } ], "source": [ "%%time\n", "# log records count and data partitions\n", "print('Crime data stats:')\n", "print('---------------------------------------')\n", "print('{:,} total records in {} partitions'.format(len(crimes), crimes.npartitions))\n", "print('DataFrame size: {:,}'.format(crimes.size.compute()))" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
Dask DataFrame Structure:
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BlockPrimaryTypeFBICodeDescriptionLocationDescriptionCommunityAreaBeatDistrictWardArrestDomesticLatitudeLongitudeYear
npartitions=1
2017-01-01 00:00:00objectcategory[unknown]category[unknown]category[unknown]category[unknown]category[unknown]category[unknown]category[unknown]category[unknown]boolboolfloat64float64category[unknown]
2017-08-25 23:59:00..........................................
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Dask Name: read-parquet, 1 tasks
" ], "text/plain": [ "Dask DataFrame Structure:\n", " Block PrimaryType FBICode Description LocationDescription CommunityArea Beat District Ward Arrest Domestic Latitude Longitude Year\n", "npartitions=1 \n", "2017-01-01 00:00:00 object category[unknown] category[unknown] category[unknown] category[unknown] category[unknown] category[unknown] category[unknown] category[unknown] bool bool float64 float64 category[unknown]\n", "2017-08-25 23:59:00 ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", "Dask Name: read-parquet, 1 tasks" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# check data frame structure\n", "crimes" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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BlockPrimaryTypeFBICodeDescriptionLocationDescriptionCommunityAreaBeatDistrictWardArrestDomesticLatitudeLongitudeYear
Date
2017-01-01088XX S PRINCETON AVEOFFENSE INVOLVING CHILDREN20CRIM SEX ABUSE BY FAM MEMBERRESIDENCE49.0634621.0FalseFalseNaNNaN2017
2017-01-01013XX S KOMENSKY AVEOFFENSE INVOLVING CHILDREN20CRIM SEX ABUSE BY FAM MEMBERRESIDENCE29.010111024.0FalseTrueNaNNaN2017
2017-01-01044XX S HERMITAGE AVEOFFENSE INVOLVING CHILDREN02SEX ASSLT OF CHILD BY FAM MBRRESIDENCE61.0924912.0FalseTrueNaNNaN2017
2017-01-01016XX W WABANSIA AVEDECEPTIVE PRACTICE11FRAUD OR CONFIDENCE GAMERESIDENCE24.01433141.0FalseFalseNaNNaN2017
2017-01-01023XX N LEAVITT STDECEPTIVE PRACTICE11FINANCIAL IDENTITY THEFT OVER $ 300RESIDENCE22.014321432.0FalseFalseNaNNaN2017
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" ], "text/plain": [ " Block PrimaryType FBICode \\\n", "Date \n", "2017-01-01 088XX S PRINCETON AVE OFFENSE INVOLVING CHILDREN 20 \n", "2017-01-01 013XX S KOMENSKY AVE OFFENSE INVOLVING CHILDREN 20 \n", "2017-01-01 044XX S HERMITAGE AVE OFFENSE INVOLVING CHILDREN 02 \n", "2017-01-01 016XX W WABANSIA AVE DECEPTIVE PRACTICE 11 \n", "2017-01-01 023XX N LEAVITT ST DECEPTIVE PRACTICE 11 \n", "\n", " Description LocationDescription \\\n", "Date \n", "2017-01-01 CRIM SEX ABUSE BY FAM MEMBER RESIDENCE \n", "2017-01-01 CRIM SEX ABUSE BY FAM MEMBER RESIDENCE \n", "2017-01-01 SEX ASSLT OF CHILD BY FAM MBR RESIDENCE \n", "2017-01-01 FRAUD OR CONFIDENCE GAME RESIDENCE \n", "2017-01-01 FINANCIAL IDENTITY THEFT OVER $ 300 RESIDENCE \n", "\n", " CommunityArea Beat District Ward Arrest Domestic Latitude \\\n", "Date \n", "2017-01-01 49.0 634 6 21.0 False False NaN \n", "2017-01-01 29.0 1011 10 24.0 False True NaN \n", "2017-01-01 61.0 924 9 12.0 False True NaN \n", "2017-01-01 24.0 1433 14 1.0 False False NaN \n", "2017-01-01 22.0 1432 14 32.0 False False NaN \n", "\n", " Longitude Year \n", "Date \n", "2017-01-01 NaN 2017 \n", "2017-01-01 NaN 2017 \n", "2017-01-01 NaN 2017 \n", "2017-01-01 NaN 2017 \n", "2017-01-01 NaN 2017 " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# preview crimes data with Date index\n", "crimes.head()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "PrimaryType\n", "THEFT 40644\n", "BATTERY 32375\n", "CRIMINAL DAMAGE 19118\n", "ASSAULT 12669\n", "OTHER OFFENSE 11599\n", "DECEPTIVE PRACTICE 11075\n", "BURGLARY 8393\n", "MOTOR VEHICLE THEFT 7331\n", "ROBBERY 7324\n", "NARCOTICS 7123\n", "CRIMINAL TRESPASS 4544\n", "WEAPONS VIOLATION 3077\n", "OFFENSE INVOLVING CHILDREN 1390\n", "PUBLIC PEACE VIOLATION 1009\n", "CRIM SEXUAL ASSAULT 971\n", "INTERFERENCE WITH PUBLIC OFFICER 729\n", "SEX OFFENSE 598\n", "PROSTITUTION 562\n", "HOMICIDE 444\n", "ARSON 301\n", "LIQUOR LAW VIOLATION 144\n", "STALKING 137\n", "GAMBLING 134\n", "KIDNAPPING 124\n", "INTIMIDATION 95\n", "CONCEALED CARRY LICENSE VIOLATION 40\n", "OBSCENITY 40\n", "NON-CRIMINAL 22\n", "HUMAN TRAFFICKING 6\n", "PUBLIC INDECENCY 6\n", "OTHER NARCOTIC VIOLATION 4\n", "NON-CRIMINAL (SUBJECT SPECIFIED) 2\n", "dtype: int64\n", "...\n", "Total Primary Crime Types: 32\n" ] } ], "source": [ "# get crime types and counts by primary type\n", "crime_types = crimes[['PrimaryType']]\n", "crime_type_total = crime_types.groupby('PrimaryType').size().compute()\n", "\n", "# print crime stats\n", "print(crime_type_total.sort_values(ascending=False))\n", "print(\"...\\nTotal Primary Crime Types: {:,}\".format(crime_type_total.size))" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Arrest Domestic Total\n", "PrimaryType \n", "THEFT 4048.0 1533.0 40644\n", "BATTERY 6424.0 15728.0 32375\n", "CRIMINAL DAMAGE 1143.0 2229.0 19118\n", "ASSAULT 2251.0 3257.0 12669\n", "OTHER OFFENSE 2572.0 3612.0 11599\n", "DECEPTIVE PRACTICE 406.0 101.0 11075\n", "BURGLARY 311.0 115.0 8393\n", "MOTOR VEHICLE THEFT 574.0 72.0 7331\n", "ROBBERY 445.0 132.0 7324\n", "NARCOTICS 7043.0 5.0 7123\n", "CRIMINAL TRESPASS 2720.0 223.0 4544\n", "WEAPONS VIOLATION 2446.0 11.0 3077\n", "OFFENSE INVOLVING CHILDREN 163.0 686.0 1390\n", "PUBLIC PEACE VIOLATION 680.0 32.0 1009\n", "CRIM SEXUAL ASSAULT 38.0 133.0 971\n", "INTERFERENCE WITH PUBLIC OFFICER 692.0 4.0 729\n", "SEX OFFENSE 90.0 48.0 598\n", "PROSTITUTION 562.0 0.0 562\n", "HOMICIDE 68.0 23.0 444\n", "ARSON 22.0 9.0 301\n", "LIQUOR LAW VIOLATION 144.0 1.0 144\n", "STALKING 11.0 74.0 137\n", "GAMBLING 134.0 0.0 134\n", "KIDNAPPING 9.0 43.0 124\n", "INTIMIDATION 6.0 8.0 95\n", "CONCEALED CARRY LICENSE VIOLATION 39.0 0.0 40\n", "OBSCENITY 32.0 9.0 40\n", "NON-CRIMINAL 1.0 0.0 22\n", "PUBLIC INDECENCY 6.0 0.0 6\n", "HUMAN TRAFFICKING 0.0 2.0 6\n", "OTHER NARCOTIC VIOLATION 3.0 0.0 4\n", "NON-CRIMINAL (SUBJECT SPECIFIED) 1.0 2.0 2\n" ] } ], "source": [ "# get arrests and domestic counts for each primary crime type\n", "crime_type_counts = crimes[['PrimaryType', 'Arrest', 'Domestic']]\\\n", ".groupby('PrimaryType').sum().compute()\n", "\n", "# add crime type totals column\n", "crime_type_counts['Total'] = crime_type_total\n", "\n", "# print all crime stats (arrests, domestic + total)\n", "print(crime_type_counts.sort_values(by='Total', ascending=False))" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/svg+xml": [ "\r\n", "\r\n", "\r\n", "\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " 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Crimes')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/svg+xml": [ "\r\n", "\r\n", "\r\n", "\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " 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plot high crimes (>-= 1,000 reports)\n", "crime_type_counts[crime_type_counts['Total'] >= 1000]\\\n", ".sort_values(by='Total', ascending=True)\\\n", ".plot(kind='barh', figsize=(6,6))\n", "plt.ylabel('Crime Type')\n", "plt.xlabel('Number of Crimes')\n", "plt.title('High 2017 Chicago Crimes (>= 1,000 reports)')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/svg+xml": [ "\r\n", "\r\n", "\r\n", "\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " 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\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", "\r\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot less than 100 crime reports types\n", "crime_type_counts[crime_type_counts['Total'] < 100]\\\n", ".sort_values(by='Total', ascending=True)\\\n", ".plot(kind='barh', figsize=(6,4))\n", "plt.ylabel('Crime Type')\n", "plt.xlabel('Number of Crimes')\n", "plt.title('Least 2017 Chicago Crimes (<100 reports)')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "LocationDescription\n", "STREET 38928\n", "RESIDENCE 29228\n", "APARTMENT 21467\n", "SIDEWALK 13807\n", "OTHER 7101\n", "Name: Total, dtype: int64\n", "...\n", "Total Locations: 123\n" ] } ], "source": [ "# get crime location counts\n", "crime_locations = crimes.groupby('LocationDescription').size().compute()\n", "crime_locations = crime_locations.sort_values(ascending=False).rename('Total') #.reset_index()\n", "\n", "# print crime location stats\n", "print(crime_locations.head())\n", "print(\"...\\nTotal Locations: {:,}\".format(crime_locations.size))" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/svg+xml": [ "\r\n", "\r\n", "\r\n", "\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " 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APARTMENT3131.09263.021467
OTHER676.0530.07101
RESTAURANT579.0115.04214
COMMERCIAL / BUSINESS OFFICE105.026.01017
\n", "
" ], "text/plain": [ " Arrest Domestic Total\n", "LocationDescription \n", "RESIDENCE 3096.0 9896.0 29228\n", "APARTMENT 3131.0 9263.0 21467\n", "OTHER 676.0 530.0 7101\n", "RESTAURANT 579.0 115.0 4214\n", "COMMERCIAL / BUSINESS OFFICE 105.0 26.0 1017" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# get arrests and domestic counts for each location description\n", "crime_location_counts = crimes[['LocationDescription', 'Arrest', 'Domestic']]\\\n", ".groupby('LocationDescription').sum().compute()\n", "\n", "# add crime location totals column\n", "crime_location_counts['Total'] = crime_locations\n", "crime_location_counts.head()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/svg+xml": [ "\r\n", "\r\n", "\r\n", "\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", 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counts\n", "crime_location_counts[crime_location_counts['Total'] >= 2500]\\\n", ".sort_values(by='Total', ascending=True)\\\n", ".plot(kind='barh', figsize=(6,6))\n", "plt.ylabel('Location')\n", "plt.xlabel('Number of Crimes')\n", "plt.title('2017 Chicago Crime Top Locations (>=2,500 Crime Reports)')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/svg+xml": [ "\r\n", "\r\n", "\r\n", "\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " 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\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", "\r\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot next 20 top crime locations\n", "crime_location_counts = crime_location_counts[crime_location_counts['Total'] <= 3000]\\\n", ".sort_values(by='Total', ascending=False)\n", "crime_location_counts[:20].sort_values(by='Total', ascending=True)\\\n", ".plot(kind='barh', figsize=(6,6))\n", "plt.ylabel('Location')\n", "plt.xlabel('Number of Crimes')\n", "plt.title('2017 Chicago Crime Next Top 20 Crime Locations (<3,000 Crime Reports)')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "Dask Index Structure:\n", "npartitions=1\n", "2017-01-01 00:00:00 datetime64[ns]\n", "2017-08-25 23:59:00 ...\n", "Name: Date, dtype: datetime64[ns]\n", "Dask Name: read-parquet, 2 tasks" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# check for datetime64 index to plot crime over time\n", "crimes.index" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Date\n", "2017-01-01 00:00:00 True\n", "2017-01-01 00:00:00 True\n", "2017-01-01 00:00:00 True\n", "2017-01-01 00:00:00 True\n", "2017-01-01 00:01:00 True\n", "Name: Arrest, dtype: bool\n", "...\n", "Total Arrests: 33,084\n" ] } ], "source": [ "# get arrests\n", "arrests = crimes[crimes['Arrest'] == True]['Arrest']\n", "\n", "# print arrests stats\n", "print(arrests.head())\n", "print(\"...\\nTotal Arrests: {:,}\".format(arrests.size.compute()))" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "collapsed": false }, "outputs": [ { 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"plt.title('2017 Chicago Crime Daily Arrests')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Date\n", "2017-01-01 True\n", "2017-01-01 True\n", "2017-01-01 True\n", "2017-01-01 True\n", "2017-01-01 True\n", "Name: Domestic, dtype: bool\n", "...\n", "Total Domestic: 28,092\n" ] } ], "source": [ "# get domestic crimes\n", "domestic = crimes[crimes['Domestic'] == True]['Domestic']\n", "\n", "# print domestic crime stats\n", "print(domestic.head())\n", "print(\"...\\nTotal Domestic: {:,}\".format(domestic.size.compute()))" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/svg+xml": [ "\r\n", "\r\n", "\r\n", "\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " 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}, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot daily domestic crimes\n", "daily_domestic = domestic.resample('D').sum().compute()\n", "daily_domestic.plot(color='g')\n", "plt.title('2017 Chicago Crime Daily Domestic reports')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " PrimaryType\n", "2017-01-01 940\n", "2017-01-02 601\n", "2017-01-03 706\n", "2017-01-04 610\n", "2017-01-05 601\n", "...\n", "Total Days: 237\n" ] } ], "source": [ "# get daily total crime counts\n", "daily_crime = crime_types.resample('D').count().compute()\n", "\n", "#print daily total crime stats\n", "print(daily_crime.head())\n", "print(\"...\\nTotal Days: {:,}\".format(daily_crime.size))" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/svg+xml": [ "\r\n", "\r\n", "\r\n", "\r\n", " \r\n", " 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\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", "\r\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot daily crime counts, arrests, and domestic incidents reports\n", "fig, ax = plt.subplots()\n", "ax.plot(daily_crime.index, daily_crime, '--', label='Total', color='r', zorder=10)\n", "ax.plot(daily_arrests.index, daily_arrests, color='#3399ff', zorder=10)\n", "ax.fill_between(daily_domestic.index, daily_domestic, label='Domestic', color='c')\n", "ax.set_ylabel('Number of Crimes')\n", "ax.set_xlabel('Month')\n", "ax.legend(loc='right')\n", "plt.title('2017 Daily Chicago Crime reports, Arests, and Domestic incidents')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " PrimaryType\n", "Date \n", "2017-01-01 OFFENSE INVOLVING CHILDREN\n", "2017-01-01 OFFENSE INVOLVING CHILDREN\n", "2017-01-01 OFFENSE INVOLVING CHILDREN\n", "2017-01-01 OFFENSE INVOLVING CHILDREN\n", "2017-01-01 OFFENSE INVOLVING CHILDREN\n", "2017-01-01 OFFENSE INVOLVING CHILDREN\n", "2017-01-01 OFFENSE INVOLVING CHILDREN\n", "2017-01-01 OFFENSE INVOLVING CHILDREN\n", "2017-01-01 CRIM SEXUAL ASSAULT\n", "2017-01-01 OFFENSE INVOLVING CHILDREN\n", "...............................................\n", "OFFENSE INVOLVING CHILDREN 1390\n", "CRIM SEXUAL ASSAULT 971\n", "HOMICIDE 444\n", "KIDNAPPING 124\n", "HUMAN TRAFFICKING 6\n", "Name: PrimaryType, dtype: int64\n" ] } ], "source": [ "# get select human endangerment crimes\n", "violent_crimes = crime_types[(crime_types['PrimaryType']=='CRIM SEXUAL ASSAULT') | \\\n", " (crime_types['PrimaryType']=='HOMICIDE') | \\\n", " (crime_types['PrimaryType']=='HUMAN TRAFFICKING') | \\\n", " (crime_types['PrimaryType']=='KIDNAPPING') | \\\n", " (crime_types['PrimaryType']=='OFFENSE INVOLVING CHILDREN')]\n", "\n", "# print violent crimes stats\n", "print(violent_crimes.head(10))\n", "print('...............................................')\n", "print(violent_crimes.PrimaryType.value_counts().head(5))" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Dask DataFrame Structure:\n", " PrimaryType\n", "npartitions=1 \n", "2017-01-01 00:00:00 category[known]\n", "2017-08-25 23:59:00 ...\n", "Dask Name: _categorize_block, 14 tasks\n", "\n", "Selected Primary Type categories:\n", "----------------------------------------------------------------------\n", "Index(['OFFENSE INVOLVING CHILDREN', 'DECEPTIVE PRACTICE', 'OTHER OFFENSE',\n", " 'CRIMINAL TRESPASS', 'CRIMINAL DAMAGE', 'SEX OFFENSE', 'THEFT',\n", " 'CRIM SEXUAL ASSAULT', 'OBSCENITY', 'ASSAULT', 'BATTERY',\n", " 'MOTOR VEHICLE THEFT', 'INTIMIDATION', 'ROBBERY', 'WEAPONS VIOLATION',\n", " 'INTERFERENCE WITH PUBLIC OFFICER', 'PUBLIC PEACE VIOLATION',\n", " 'BURGLARY', 'NARCOTICS', 'HOMICIDE', 'KIDNAPPING', 'ARSON', 'STALKING',\n", " 'CONCEALED CARRY LICENSE VIOLATION', 'PROSTITUTION', 'NON-CRIMINAL',\n", " 'LIQUOR LAW VIOLATION', 'PUBLIC INDECENCY', 'GAMBLING',\n", " 'NON-CRIMINAL (SUBJECT SPECIFIED)', 'HUMAN TRAFFICKING',\n", " 'OTHER NARCOTIC VIOLATION'],\n", " dtype='object')\n" ] } ], "source": [ "# categorize by primary type\n", "violent_crimes = violent_crimes.categorize(columns='PrimaryType')\n", "print(violent_crimes)\n", "\n", "# print selected violent crimes primary type categories\n", "print('\\nSelected Primary Type categories:')\n", "print('----------------------------------------------------------------------')\n", "print(violent_crimes.PrimaryType.cat.categories)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Date PrimaryType \n", "2017-01-31 OFFENSE INVOLVING CHILDREN 218\n", " CRIM SEXUAL ASSAULT 135\n", " HOMICIDE 53\n", " KIDNAPPING 8\n", "2017-02-28 OFFENSE INVOLVING CHILDREN 119\n", " CRIM SEXUAL ASSAULT 118\n", " HOMICIDE 48\n", " KIDNAPPING 13\n", "2017-03-31 OFFENSE INVOLVING CHILDREN 175\n", " CRIM SEXUAL ASSAULT 96\n", "Name: Count, dtype: int64\n", "...\n", "PrimaryType OFFENSE INVOLVING CHILDREN CRIM SEXUAL ASSAULT HOMICIDE \\\n", "Date \n", "2017-01-31 218.0 135.0 53.0 \n", "2017-02-28 119.0 118.0 48.0 \n", "2017-03-31 175.0 96.0 37.0 \n", "2017-04-30 172.0 131.0 46.0 \n", "2017-05-31 196.0 124.0 57.0 \n", "2017-06-30 172.0 113.0 85.0 \n", "2017-07-31 167.0 150.0 75.0 \n", "2017-08-31 171.0 104.0 43.0 \n", "\n", "PrimaryType KIDNAPPING HUMAN TRAFFICKING \n", "Date \n", "2017-01-31 8.0 NaN \n", "2017-02-28 13.0 NaN \n", "2017-03-31 18.0 4.0 \n", "2017-04-30 15.0 NaN \n", "2017-05-31 19.0 1.0 \n", "2017-06-30 15.0 1.0 \n", "2017-07-31 23.0 NaN \n", "2017-08-31 13.0 NaN \n", "...\n", "Total Monthly/Type records: 40\n" ] } ], "source": [ "# group violent crimes by month and crime type\n", "violent_crimes_groupby = violent_crimes.groupby([pd.TimeGrouper('M'), 'PrimaryType'])\n", "violent_crime_data = violent_crimes_groupby['PrimaryType'].count().compute().rename('Count')\n", "print(violent_crime_data.head(10))\n", "print('...')\n", "\n", "# unstack violent crime type group for series plotting\n", "violent_crime_data = violent_crime_data.unstack()\n", "print(violent_crime_data.head(12))\n", "\n", "print(\"...\\nTotal Monthly/Type records: {:,}\".format(violent_crime_data.size))" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/svg+xml": [ "\r\n", "\r\n", "\r\n", "\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", 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PrimaryType
Date
2017-01-01OTHER OFFENSE
2017-01-01CRIMINAL DAMAGE
2017-01-01CRIMINAL DAMAGE
2017-01-01THEFT
2017-01-01OTHER OFFENSE
2017-01-01OTHER OFFENSE
2017-01-01ASSAULT
2017-01-01THEFT
2017-01-01CRIMINAL DAMAGE
2017-01-01CRIMINAL DAMAGE
\n", "
" ], "text/plain": [ " PrimaryType\n", "Date \n", "2017-01-01 OTHER OFFENSE\n", "2017-01-01 CRIMINAL DAMAGE\n", "2017-01-01 CRIMINAL DAMAGE\n", "2017-01-01 THEFT\n", "2017-01-01 OTHER OFFENSE\n", "2017-01-01 OTHER OFFENSE\n", "2017-01-01 ASSAULT\n", "2017-01-01 THEFT\n", "2017-01-01 CRIMINAL DAMAGE\n", "2017-01-01 CRIMINAL DAMAGE" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# get top 5 crimes\n", "top_5_crimes = crime_types[(crime_types['PrimaryType']=='THEFT') | \\\n", " (crime_types['PrimaryType']=='BATTERY') | \\\n", " (crime_types['PrimaryType']=='CRIMINAL DAMAGE') | \\\n", " (crime_types['PrimaryType']=='ASSAULT') | \\\n", " (crime_types['PrimaryType']=='OTHER OFFENSE')]\n", "top_5_crimes.head(10)" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "THEFT 40644\n", "BATTERY 32375\n", "CRIMINAL DAMAGE 19118\n", "ASSAULT 12669\n", "OTHER OFFENSE 11599\n", "Name: PrimaryType, dtype: int64" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# print top 5 crime counts\n", "top_5_crimes.PrimaryType.value_counts().head()" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Monthly Top 5 Crime Data:\n", "---------------------------------------------------------------------\n", "Date PrimaryType \n", "2017-01-31 OTHER OFFENSE 1551\n", " CRIMINAL DAMAGE 2407\n", " THEFT 4927\n", " ASSAULT 1373\n", " BATTERY 3557\n", "2017-02-28 OTHER OFFENSE 1373\n", " CRIMINAL DAMAGE 2044\n", " THEFT 4376\n", " ASSAULT 1294\n", " BATTERY 3407\n", "Name: Count, dtype: int64\n", "...\n", "PrimaryType OTHER OFFENSE CRIMINAL DAMAGE THEFT ASSAULT BATTERY\n", "Date \n", "2017-01-31 1551 2407 4927 1373 3557\n", "2017-02-28 1373 2044 4376 1294 3407\n", "2017-03-31 1508 2232 4471 1481 3851\n", "2017-04-30 1551 2440 4761 1635 4097\n", "2017-05-31 1611 2508 5303 1847 4554\n", "2017-06-30 1362 2563 5702 1850 4640\n", "2017-07-31 1492 2728 5978 1810 4685\n", "2017-08-31 1151 2196 5126 1379 3584\n" ] } ], "source": [ "print('Monthly Top 5 Crime Data:')\n", "print('---------------------------------------------------------------------')\n", "\n", "# group top 5 crimes by month and crime type\n", "crimes_groupby = top_5_crimes.groupby([pd.TimeGrouper('M'), 'PrimaryType'])\n", "top_5_crime_data = crimes_groupby['PrimaryType'].count().compute().rename('Count')\n", "print(top_5_crime_data.head(10))\n", "print('...')\n", "\n", "# unstack top 5 crimes type group for series plotting\n", "top_5_crime_data = top_5_crime_data.unstack()\n", "print(top_5_crime_data.head(10))" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/svg+xml": [ "\r\n", "\r\n", "\r\n", "\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", 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"---------------------------------------------------------------------\n", "Date PrimaryType \n", "2017-01-01 OTHER OFFENSE 72\n", " CRIMINAL DAMAGE 113\n", " THEFT 178\n", " ASSAULT 45\n", " BATTERY 203\n", "2017-01-08 OTHER OFFENSE 336\n", " CRIMINAL DAMAGE 477\n", " THEFT 909\n", " ASSAULT 300\n", " BATTERY 714\n", "Name: Count, dtype: int64\n", "...\n", "PrimaryType OTHER OFFENSE CRIMINAL DAMAGE THEFT ASSAULT BATTERY\n", "Date \n", "2017-01-01 72 113 178 45 203\n", "2017-01-08 336 477 909 300 714\n", "2017-01-15 383 524 1076 292 766\n", "2017-01-22 349 568 1234 338 814\n", "2017-01-29 318 569 1198 312 824\n", "2017-02-05 331 491 1144 287 828\n", "2017-02-12 338 542 1106 333 845\n", "2017-02-19 366 555 1182 345 888\n", "2017-02-26 356 502 983 324 852\n", "2017-03-05 322 442 1012 294 818\n", "...\n" ] } ], "source": [ "print('Weekly Top 5 Crime Data:')\n", "print('---------------------------------------------------------------------')\n", "\n", "# group top 5 crimes by week and crime type\n", "crimes_groupby = top_5_crimes.groupby([pd.TimeGrouper('W'), 'PrimaryType'])\n", "top_5_crime_data = crimes_groupby['PrimaryType'].count().compute().rename('Count')\n", "print(top_5_crime_data.head(10))\n", "print('...')\n", "\n", "# unstack top 5 crimes type group for series plotting\n", "top_5_crime_data = top_5_crime_data.unstack()\n", "print(top_5_crime_data.head(10))\n", "print('...')" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/svg+xml": [ "\r\n", "\r\n", "\r\n", "\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " 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\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", "\r\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# add weekly arrests data for comparison of crime fighting efforts\n", "#top_5_crime_data['Arrests'] = weekly_arrests\n", "\n", "# plot Weekly top 5 crimes data\n", "top_5_crime_data.plot(figsize=(6,6))\n", "plt.legend(loc='upper right', frameon=True)\n", "plt.title('Weekly Top 5 2017 Chicago Crimes')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Daily Top 5 Crime Data:\n", "---------------------------------------------------------------------\n", "Date PrimaryType \n", "2017-01-01 OTHER OFFENSE 72\n", " CRIMINAL DAMAGE 113\n", " THEFT 178\n", " ASSAULT 45\n", " BATTERY 203\n", "2017-01-02 OTHER OFFENSE 44\n", " CRIMINAL DAMAGE 73\n", " THEFT 120\n", " ASSAULT 38\n", " BATTERY 105\n", "Name: Count, dtype: int64\n", "...\n", "PrimaryType OTHER OFFENSE CRIMINAL DAMAGE THEFT ASSAULT BATTERY\n", "Date \n", "2017-01-01 72 113 178 45 203\n", "2017-01-02 44 73 120 38 105\n", "2017-01-03 43 79 149 55 114\n", "2017-01-04 54 57 161 34 95\n", "2017-01-05 56 68 132 42 84\n", "2017-01-06 40 68 122 44 81\n", "2017-01-07 44 62 120 42 120\n", "2017-01-08 55 70 105 45 115\n", "2017-01-09 50 90 159 38 89\n", "2017-01-10 55 93 152 47 105\n", "...\n" ] } ], "source": [ "print('Daily Top 5 Crime Data:')\n", "print('---------------------------------------------------------------------')\n", "\n", "# group top 5 crimes by day and crime type\n", "crimes_groupby = top_5_crimes.groupby([pd.TimeGrouper('D'), 'PrimaryType'])\n", "top_5_crime_data = crimes_groupby['PrimaryType'].count().compute().rename('Count')\n", "print(top_5_crime_data.head(10))\n", "print('...')\n", "\n", "# unstack top 5 crimes type group for series plotting\n", "top_5_crime_data = top_5_crime_data.unstack()\n", "print(top_5_crime_data.head(10))\n", "print('...')" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/svg+xml": [ "\r\n", "\r\n", "\r\n", "\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " 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CommunityAreaCommunityNameSide
00NaNNaN
11Rogers ParkFar North Side
22West RidgeFar North Side
33UptownFar North Side
44Lincoln SquareFar North Side
\n", "
" ], "text/plain": [ " CommunityArea CommunityName Side\n", "0 0 NaN NaN\n", "1 1 Rogers Park Far North Side\n", "2 2 West Ridge Far North Side\n", "3 3 Uptown Far North Side\n", "4 4 Lincoln Square Far North Side" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# load Chicago community areas with pandas\n", "# for plotting crime by Chicago 'sides'\n", "community_areas = pd.read_csv('../data/chicago-community-areas.csv') #, index_col='CommunityName')\n", "community_areas.head()" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " CommunityArea CommunityName Side Total\n", "25 25 Austin West Side 10060\n", "8 8 Near North Side Central 7503\n", "32 32 Loop Central 6673\n", "28 28 Near West Side West Side 5793\n", "29 29 North Lawndale West Side 5711\n", "...\n", "Total Communities: 77\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "D:\\tools\\dev\\python\\Anaconda3-4.2.0\\lib\\site-packages\\pandas\\core\\indexes\\category.py:138: RuntimeWarning: Values and categories have different dtypes. Did you mean to use\n", "'Categorical.from_codes(codes, categories)'?\n", " data = Categorical(data, categories=categories, ordered=ordered)\n" ] } ], "source": [ "# get community crime stats\n", "community_areas['Total'] = crimes.groupby('CommunityArea').size().compute().rename('Total')\n", "community_crime = community_areas.sort_values(by='Total', ascending=False).dropna()\n", "\n", "# print community crime stats\n", "print(community_crime.head())\n", "print(\"...\\nTotal Communities: {:,}\".format(community_crime.Total.count()))" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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Total
CommunityName
Austin10060
Near North Side7503
Loop6673
Near West Side5793
North Lawndale5711
\n", "
" ], "text/plain": [ " Total\n", "CommunityName \n", "Austin 10060\n", "Near North Side 7503\n", "Loop 6673\n", "Near West Side 5793\n", "North Lawndale 5711" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# drop unused columns and reindex\n", "community_crime = community_crime.drop(['CommunityArea', 'Side'], axis=1) # denotes column\n", "community_crime = community_crime.set_index('CommunityName')\n", "community_crime.head()" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/svg+xml": [ "\r\n", "\r\n", "\r\n", "\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", 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"display_data" } ], "source": [ "# plot 20 high crime communities\n", "community_crime.head(20).sort_values(by='Total', ascending=True)\\\n", ".plot(kind='barh', color='#cc0000')\n", "plt.ylabel('Community')\n", "plt.xlabel('Number of Crimes')\n", "plt.title('2017 Chicago High Crime Communities')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/svg+xml": [ "\r\n", "\r\n", "\r\n", "\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", 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\r\n", " \r\n", " \r\n", "\r\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot 20 low crime communities\n", "community_crime.tail(20).sort_values(by='Total', ascending=False).plot(kind='barh')\n", "plt.ylabel('Community')\n", "plt.xlabel('Number of Crimes')\n", "plt.title('2017 Chicago Low Crime Communities')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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CommunityAreaCommunityNameSideTotal
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11Rogers ParkFar North Side2613
22West RidgeFar North Side2253
33UptownFar North Side2206
44Lincoln SquareFar North Side1220
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" ], "text/plain": [ " CommunityArea CommunityName Side Total\n", "0 0 NaN NaN 1\n", "1 1 Rogers Park Far North Side 2613\n", "2 2 West Ridge Far North Side 2253\n", "3 3 Uptown Far North Side 2206\n", "4 4 Lincoln Square Far North Side 1220" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "community_areas.head()" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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Total
Side
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Far North Side14996
Far Southeast Side20143
Far Southwest Side10916
North Side12178
Northwest Side9351
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Southwest Side23045
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" ], "text/plain": [ " Total\n", "Side \n", "Central 15401\n", "Far North Side 14996\n", "Far Southeast Side 20143\n", "Far Southwest Side 10916\n", "North Side 12178\n", "Northwest Side 9351\n", "South Side 22445\n", "Southwest Side 23045\n", "West Side 43554" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# group crime totals by Chicago 'sides'\n", "crime_by_side = community_areas.groupby('Side').sum().drop('CommunityArea', axis=1) # denotes column\n", "crime_by_side" ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/svg+xml": [ "\r\n", "\r\n", "\r\n", "\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", 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\r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", " \r\n", "\r\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot crime by Chicago community sides\n", "crime_by_side.sort_values(by='Total', ascending=True)\\\n", ".plot(kind='barh', figsize=(6,4), color='#cc0000')\n", "plt.ylabel('Chicago Side')\n", "plt.xlabel('Number of Crimes')\n", "plt.title('2017 Chicago Crime by Side')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 49, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# show Chicago sides svg for reference\n", "display(SVG(url='../data/chicago-community-areas.svg'))" ] }, { "cell_type": "code", "execution_count": 50, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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FbrVejyAIwuXOxfjd17p1a/R6PUajUSt1sm/fPqZMmcKgQYP45JNPsFgs1XZ+oWoRC1wN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ioIQZt3CAbFJNa5B2R+Rc9NLCXBYzjWFh81Z9X/m32bOuzwI323yov+uJvkzng2sCibnXcCJr\npLIuzGQcTns8juJZ2Ium8vcf53K118Vx30EOpKdzOGsIk8gzzFyXz46XUPmoyds20tbWiCMQICb7\nEu7NOkwyTnoTzx0sYgT9ldJ6Q3HxZ1YRW/oX+rmXKhsxKflkAu1MIh8bVl7gA7ZykJ9wmaJ/mXG9\nkT0MxcVfWE0tHlIa4xjWZ7Cm6xcygs3s5TfMDhlV5XtpWvhXTtj92OtP4phyUWhz1DEeWaTwGMs1\n1V3sWJX7nUe2okMbVh5gMUXkczEjcBKt1CJuI8DLrGUDe/mActZSEWbQDyGTl1nPLUwnCSfJxDO5\ndDVF7o1c4ulFket7TCCXKRRwAUPD1lJ5Hdnmns7zr8IosbomYcu9kueyvIzvcCT8J8jZaMCdw8B1\nIV1xQ4X9HmyltbaMY8F6WmvLYOOf6L3iLih9SjHS9FJFnXINNf6sO/cH46oMYYShEXAJ3eljt/qu\naxN0MrKHvosO+93oHClqbJ2TGH5FMb+wXo0jfSxp1tQQ354JPlDiPrJJ0+jBS4hNvYIahWOtijoe\nDb5Jc+0WhZPPGzx9xpxgEptUR4OCeTLEK3WQOMu5oRe1fs3IdY2IhtViViXi3yqqfn6ZEgnTE0UU\n/8MMsv0JzC3LIc1/5uWIQvMvmlR6aeawWoywp0bHRsLBqsfuTMaty+fY2s4C1lDCJYoR9EtegthY\n4sZM5H9j5+Cd8N/kzPwnjgl30ICPzewLa7Oan9BJDD+zfgtH+lhiE3OIGXIdzom/4SYm8zfWcjcv\nA/A0K7mf67iTq0gjkVuCF5BVe5QoNRemSi5iBO+wlWdZg5dWbmE6TqI1mFVJVJ5GIt9nGhDFmpyD\nhrr7NbP4A0tDfwwdSnzeCFLaYnHmjcBbMFCjN8mfqK7uor+fWh9qZJ/E2Ko3EcPoRxuCm5ismbN1\nNCjXSqVXaK0INkJtOXXB49hrPyMtGEcqvXiWfylraRV1muvI98Z9XNu9ifJvkBes69jJEZ5mxdfd\nlP9oOWfAdSFdJR6E/W514EgfS19rKo60UQTqd1DXw93qJQAAIABJREFUYcw9FVwWtrhKUklJIqkH\n3AM9IthUkgnUEmzFW7u506jULZZdvVQiGWmR2qZe6HtKkuqlxZw0WJUoIe9j1G4jsLNscwEuZXHO\nJo07rdcQkz5OSRypt/p7TGwqDTUJYH6WfxEkSD2N4SzqqhdXoHab4dwwAo/L+xj9rtexngh4E3uA\nzuoNq3F32+DriSGrOTYCWfUXFXV/5T9AMfbT/A6YM4c+P/hZWDk30wQkoz7QWc4s0jogy2VpE2bM\nNzdmfTEicI7UPrP5YHRfubnz0swdLKKJlpARh2ojaW2nkBxuYJJCnCsNPgiFJX/BFZyiiT+xDIBN\nEy6jZeZTeCfdCoTgFVHAHVwFwINcTxqJStvSWuPJIB9rVHiillzD7mYWNzCJ0/g5wemw5A11MlU2\naczl21y9Oz9sEwyhjWQtjdTTiDc2Cu+iBTS/uAAWLcIZm8ztXKkYSGrdZpNmeD+lHyQqJe7UcwDg\nVi4ljUR+yCX8git4n89wcwDojBCow/sttLLXehzSRyKsdkgfqeglQIBHWY6bA8rccHNAeX88zgp8\nHRCdOhqUZ/zrkp8xk2H042fM/Nra8P+DnAuhdkP0BJp6TE0YwaZrAtbcKyFrMhbPIWJ9p7Gnj2FM\n1k2GBsk4BpNJH1MsWlchLCPMmTrs4bE0s9mzhmxfFPHp4/FmjQm7phEx78G6wwzumx0RAxWpberi\n36Z4IYOwrlzcZChC3UcljNNxjho3KMOhZuFGfZvVeJEknAomrSorl0dYSgGZhi8DKWoMTtWxA7ya\n4WYqBUwin0z6MI5BFDHEGEOoInG2pI9iTOpsnOV7ITk5VH6sQ/Tjoh5r/dzQ61it/03s4W+sxYGF\nBbzPeirYTjUfs4fJHZiiCmp4jOUhXQbtio6N9Kl+BtSfq6jThKyNyKq7+xx2FR6WoSMn0TzGcjZR\nyTh1aLK8HBYuDOmzvj5EKp2RofRHksLqw05m86c7oWSJe2ojEIZDVYfD9WuGeuzU4wbh65YZXlQd\nko2kM/n/RQzjY3bzON+jjgYe5E1u5VKcRPME73CZikBblqMaQiZP8y5bOMAG9nCCJlaznW0cotRy\ngC3sZyguXuQjbuVSFrORaOwUkc9OqimnCru/lZg5P8K2ZDOWownU3XIXTnu85j5SF9mkMYL+9COZ\nIvKZRD5pwVi8lrawvjqJoe7zWl7tW6YZOzU8JZVePMZy1tsrWZlxjEJ7aI05wkkeYSk5pLOANaxk\nG4U63LLRWIY+t2igLupxLyIfLy1kk0YCMTzLGlKIZwiZHfMuRAJ8hJO8RzlbOEC+axa9cmfTK2s6\ndTSQTDznk8Mk8skhgxH05xRNPMsayjnET7lcwWbKds5lMduoUsi4zeSrDAv+J4VP4ewMoZ7LQu1C\njPh9Iv0tRc8b1JXIYyXhY0/FLONSiM4MrlsDfxEbxe6w7CizLLi7mxaZZrnq76H+3iyDNCxzLgJZ\nsVGWnaFefD7x+Zb3Ima06kWd3WZ2n3vEK4ZcYOpjFELjTX8QjS9/W7RselSTydmdTMGDgRpTcmOz\nLEf1eHWZrasSmREoM9skR5+8zgPiDXGPeEVDgGp0bfWcN/psyFHX8QyoMwXV46AXs76btcMwEy8C\naXRXY9TTZ1Cdnaj+bEQaHSLlfV4zVyLd04xQu6vPPZFVYqsoEfPFKrFVCBE+x/T8axvFbrFV7BeP\ni7fFVrFfbBS7xSqxVcmqbBJ+8X9isSgR88UtHZnqJWK+JvP18NiBwjeyQDxcdq+GfzAiL1oHz+TH\nm27tPMbnE8e3fCSafCfFli1bDM9VkwmbZaHLeSvJfqXoGQbUn9Vzfq5YrLRfftZnLm8Uu8Vt4nmx\nUewOm+MHRa1CSqw+14ggWIjQ89NVRrl8Ls3k68qs/CbKuSzUr1nO1IKeRL4mHKf2phiBldUA20IG\n47AY42bUxz/BOyQQwzxWs5UDjCdXs9trI6DZtcvvVuMmn0xNxqX02sj/5Y5+qCWLQnI1XhqZdVXC\nJZqsTAc2YnY1M7hvtqat6uw6QPFktBIISxrQeAF1mVMEW0MJA8G2kHcm9wrqLE2mAHGjv/H7Yc4c\n4ha+gmXdeuqKpyo7ebNdp5sDPMsaXCRjxWKYFSyzAyeRh9MvQp4cnWdMZhSeF8ygyf0MsS0Ca9sp\n/je3Ebel2hA8r/coVVHHI5bljC0/TcLCV8M8RWZeS3Vih5knxkj6d9SedBLDW5TyOacYQgYTOzxw\nhQxmSnBwZwmiJg+Wpn7Qu48m+1U9540+Z9In/OYWqzLP+9fFc6JvqzIOGSSHHW7Ud71nzEuL4nnw\n4A3PKrbbobhYKedGbKwyBupkA6Ox6WnihgSkL2CNUv5JncSjTuwJlcHLVzxdcvweZ4XiQVSL0bpl\n1NZInmd1/4yycjNIxomDNBJpoY1M+hi2HWAn1TzPh4xjEAW4mMdqkonjXbYjaOcl1jKAFN5nJ+kk\n0EQrE8iljAPMYAQTkgtJW7ed1vojHM1LZVzJw2Ta02kjwMfsoZAcTQKWMheCFnC/gAi2kulrJ5h7\nKW0tPtrn3EzDwmc4tm4Z/vEXMMiVoxlnua7mkM5CPmQieVRzXAmPqj3WdTTwCEspZLDioTeKiOiT\nszLpQwGZTGMoDmxMIk8ZY/n+qKKOEQwgSJA3KGUgqcxkbOf9S58nxf0GeA7ysSuZSxjBKLJZxLrO\nd4lqXDNIVjJwjdYID17mspi17FLK5enly/Iq/TuSqb5uORs9cOcMuAgiF8SpFGhCWYa4LJU4sDGO\nQZoQIKDUs6xLtiiGhjx+LIPIIpSWnkcGWaQqbXicFaxnF+92uPUhlJG5im18Rg1efPyd9QzFxV95\nj01UUqAKpzqwsZ5dXMBwJFFkEk4qqKEfvTteIEGlLXJB2Fd/iOZ0iyaMqH5hq7OfLmAoFzDUcOE3\nypzSh9bqsoaFGYZdUahQXk5w4QvU2r046k/xlyIv+RljIuLWWmhjA7uZzkjs2DS0EPoxdPjbQtip\nhQth3bqQMaAz4pwWJ7GezwmcOkZc//GMzfou0xgWFjY1erlKw7p/cm7o+vX1IXLjkhLlPjLkZmTM\nhr1U/BmGYVgjGc0g6vHwI6Zrr2mJDoX9mzzYNtfA428Y9l2PKzT6bKTTsQzC8/kJxvQbhotkRncY\nombHG53vJEbZSFzAUCXMNRSXJozuwIbXHsSR0T9EwxIhk1dtPJkZO129pNSGtWyvekOlDl/qn4+Q\n8bKbIvJpb7ZRWQkJCWCzGYdQzaABRkZvxI0UnXOzgEye50M2sJsR9NfMXXWIMINkUoinkFyO08go\nBnAeA0kmju1UcwvTySKFAjK5krFs4yDfopAxDCSHDJ6wv8ew4lt4rSiKwpJHGBA7AAjBBTaxl2kM\nDaOFkeH4Vk8lx3z7cKSP4fGskxwoX0PhwnVY7X1orB+AJc9FwqgcjWG8iHX8gAspwMVYBlHNcZ5k\nJSnEM49VGl04iWEoLl5mPUPIVJIm5PhJHejfB3IjnENfxYj30sKfWcUFDFVCtAlE8xabiQJqOKHU\nhlVvaK2+k4zL/QlOixM7VpUxaExXcz+vh9eW7WhXIYOV9chIvgyjxEszv+efGqfDf6KcjQbcuRBq\nF6J3mZ+xdIRzWkcOF2XXjg0RSRqIunaevg1G5I2LxIdCCGPySfm/LGezRGxUiCI/FDtEiZgvtor9\nShjgPvGa4rbfJQ6LksD8sLaoryvbqy87oyeEld+rQ2uy3TK05vcLsWFXo/D7w+8RSaf+2TeKz0Z+\nW/hn32iqU72o+xwxzLllS8SyX2q9fFy23vA+ss9dhlZVRL368M2DYolo8p0MtUcVXg07v5s1Zrsl\nn27qcckzdbgmUug8UtmxSN8Z3U/KQVHbrRq3ZveSBLtG4TEjkm4zaRKhMlz3+peIDbsaxb3+JUoo\nPlLYU5ZYOuH3i7vuEuL664W4667Qc6HWl74dkdqjD/sZ6U197FaxXzNn1ddQ6/dOsUg8KJYoRN53\nir9rQsIyhCjL/Mnv7xeva8KT+lC7PnRq1MYm4Q+VGpR/+04Kz+zrxF2jVovrJxwQP/5hvfD7dfrV\nEaI3Cb/y7Jo9/7Lm6q3iOXGfeM10XhlBUWQ/5orFCkRBCKEQT8s1U11mTAihgZTIZ0mpsxqoMVw/\n5BhIEuKuRF7jKbFcCPHlhAWN6gn/J8q5EOrXLGdiQes9HWcsHYBqq91BSn0zvYougYyMsMO8NLOB\n3VzIMMWbINug35Ee4SSv8DEj6K+ErfQ7fejkVbqa8ZxPDmMYyCgG4iKZd+gE3l+o8hxlk4ZzZzPT\n0ws1pWDUXoz9HONJVuLEwRI+YSVuBpHGoyxX+J6e5B1WsU3DqbSczWxgL/V4yLSkYW2O4X/vD/Kv\nZQ62uaMYO6WZU7ZGhWfKaFdXRR0xwSTud3+L5WImWwbP4vKLk7B1sQGso4EnWal4DCOWl0lONvSM\neWlW+p5DOnE4eKHXx0xw5CttlaHaDezGRTJPdhB1mpE519l9ODMGUmf3aTyRz7CaEn8RyXNuVTyB\n3uLpPGF/T/EwSMB+cOELWOwOTRj2TMXb24lj3Ual796SORFJhGVJoI/YyTD6K2F0I4+P+jk08orp\nv1Pz9cnf9XM8CafGm6UPYUox81zJEJOZ17i7a4ADGyOaB/HB/cP41zIHce4h/HJKDjabcbhbhk43\ns5//YQb1lfEsWxbyvJ06BaNGQVtbp77U7ehOso5RIpRRH3ZSzbOsUcKi6msMIZMX+YgSLuEPLMWD\nnyhgDtNwkcxB6riVGZSylxwyeJJ3+D7T2MJ+xjCIBawhh768x3Y+Zi/TGAbAn1nJcLI0HlUzT5OX\nZh5jOR+zhy2WQ0okwmtv59f5MRzbdhGO9FTqGyFnXAuDUzrmS+lT4H6BjzzvMMh1laKzyxilhOGN\n5oWTGCVx4MIO7jl1KFkPYZDrs/zdgY0CMinjIJM6IApxONjIHi5nNMfwsIj1zKaQEQwI3b8jiaou\nazgPsJhd1HALM7CUPk2T+y9UejYhXOcr0AwvLeSQQQLRLOGTiHANtSd2PbvYRx1lVJJ/tM+Xwsmo\nTrr5T5Wz0QN3zoDrpqhDIWckKmPAmjdEEyZTS08ehqOcorQj806GOc1Y55OJVxYhO1YlFKJ+WelD\nxCdr6hnZb4jmOuqXQiq9cGDhbcr4LpMpZhzZpClue6PsqWzSOI9s6vFwiOOsYhvOygG8vqwVv60Z\n/yk7W0d9wEcpnyiYFf0LSmae9qrM5sMV8VhibVQ2eBkzKoqMlMjjU81xJdQrs8fMpMp+iqTi68Mw\nVPIFMDSYRoEltPjGfnaawRmd4TNZpWI6IynAFZHMWU06HMpe1RoNyeX7NdmUjqILGJIxDge2TkMg\nOYH965bQq74JW4T5JSVSONBLc8hALP4ZjqIL8JbM4YnYD8KMLL1RMAwXlRxjOiOVEJhRf9XPoQMb\nWcFE0iy9ld9lv2V9VnV1EvkSGqKDCMjz5PhItvxIWDC1GIU61e1R/y/HTP+ylP9XVdpYuqydk7ZG\n2k7FcP4oO/1SzDPMJdwimXgSEsDtDhlvWVkwaxbU12vXLXV7jIxKddu6u17J+SpD2uoMa7VhMpE8\nVrOdR7hRWUMKGcx6dvEeO/Dip5JaCshkHbuZQC4XM4I0Eikkp4OIN5p6GllNOTupVqpRmJGcy34U\nMljJRAUUeMv4pGx273BS72nHO/Bzama9y/m2EGau1T2fo8E6EnxeHsr1MdMyXhOGn8sS02xNPc5Q\n0nLIEKrUi4Sk6M+RIUz1WMi/5Ub9UkaxkA+xYw1hVC1W6mlkHRX8iIvIDiYR415EbDCK/j5Bn9zv\nMM4SqnwjN0bZpOHmIBcyTGmnGhIgM3snkkcf4nmfnSQTx6lgA3F+B4HeFkMcak9EvlP0ojwTuk3Y\nN1HOGXBfs3yRSgyapIQzMeIMANVm0t2JnkovckhXdsxG5Xv03wPdph04evQotn5OQ4yflBx/EsPK\nTzEgOZdkexIQXpJJDRKWMppBinGX5UimbIODqKZYBg+wcs8sF+fbBpJLhuELSknKSEjF7QbPqSjy\ns+x8Z5Y9ogdOFg/fyWFy6BuRoV+hJ7EPwpPRi1Z7lPblWzqfWPfLODyHoeYT2g8tIqmxngdcVURj\npz8pZJCMBy9Jpc9jd/8Nq6caXBMMsSoSdyNflBqwvc4T6C2ZwzP29xWwvJMYHPZYfMWXsKComfyS\n+3HGmi/IeioSvSh9tCeEkinssWGJL+o55OYAGSRjx6rQJqgTCvRzsfHoSRL79Q4ZTaV/otH9DNGe\nGhyuzlJjEoA9nZFMIJdUeimGmZl3Td129UtVttks0cPs+TbzcBk9T2qDMiYhwJvuWpyn+jAoy8qs\nWSGPmlG1E/lZ/m2zwZQpkD+qhetm2YiJibxu6Z9ffdt6slbJl7iXZv7I25SyT0vLQif9iFrvbQTI\nIQNBO8UUKhUUNrCbcQwikTjl/N18zit8zATy2Ek1P+UKZa6ocXZmfVX/k+Nvs8HHU5biHHWM9Et3\n84OEKeSQARYrVk81cb5GytMTuSVrrkLL4aVZSSjRV9eQovb6DcXF07wbhi9WbzCM1m1pUO2kGisW\npe2tBNhJNdMYThJx/I21VPI5E8knCScpxIeM6Q7cX53vALvTU+idNUPZjMsNnwObBgPXRoCN7GES\n+bQRUJLUHNh4kY+4hvHkl77Jte7PSPTUMy/3NAlEn7EHLRK29AneUahbzHT0TZFzBtzXLGc6AOpd\n8hcKo9rtobBWFwDznohZgoFaziQUBLD7xEGeTV9nXp5FlQV6cN2bxBXPjhhmM8r0szbH8OCDUHvU\nQnLvdn4314IjPqApE6P3cIRA1dHE2WxMmRIKM82eZSGmiy7F4SCDJLZwgOmMNA6hBlupszSRSR9G\n0B+AR1jKeio6w2zBdrzuv3I8eByb9wR1TXsRtHHcd5A1uVm4LdWkEE+Qdh4NvskF7k0dpb8asObO\nVDIy1bpQhwArqFE8j20EcNhjQxm2RRdDSQmO2ASlHJjaKDhqb6IoaTxpuz6PmMggw2JqvrausjD1\nv8m2ylBxCvG8wsdhhrE+IeB3LCHTE8/iVDefBiuY4v6YtqCPRJ8/rCzaNqoUALZROFD/spCZ2GpO\nr1R6Kdx0aoNX3zej59vsWTF6ntQGZazNxqVTohk/ysGsWRATEzlDtLkZTdJCi62ZF1OWM9EWMiZ7\nsm7JtqkzXHu64WwjQCn7uIXphvWCzYzfa5jAM6ymgEyySSOHdN5gE+upYBj9uZdX2UoVE8hhKC7F\n2yf1+xBL2ESlMu/1mfdm7TjCSf5l28ZtKZNIONTGkhR355rlmsCJ3Mm8neUgixQe5p8MU2XKy3Cn\nXmTixlBcbOEA0xjKJPKZpNs8mEVM5Lyvo4FHWcZ6drOOCnYEKymwDGABa/g+03iRj7iaQqqoZQ/H\nOMoJ+pDAPFbjZj8XMAyraxKncqcyKGsWd7CIYsZSQQ0vs46TnOY1NnApo5VNipcWpnWU3VLmZ9BB\nm0XwMXs4FDzCt9zlNAQ9JPv87MgbQpn1MP1IIoPkHtcONntO5DojufxCEZtvbpLDOQPua5Yv4oHT\n40i+LulOJpz6WKNdfyRXt1pO1tRzVb/J5jix8nLaFj7PMXsT/evbiS260BR3ZfYCq6yEZcvAam/n\nkO80I8a28WrKKo1hofZwSCJRSdoaZ7PRntJAos14B633plzd4SFQs8Ir0lHD9lPPGuJd08gMJpBk\n6cUI+jOdkZoMWofnMDbfKcr7JpMbfx5NDdUM6jeDzVkpXMsEZSc9zDKANM8pYn0NNKbnEpd1YUSi\n2CrqeIzl/IALSSSuk3DWvoJxGZNx2uOVjDe112c/x3jGv5QZc/5EYOHztK77AEfxLOrsPsMx38sR\nhcJA75HTzwWjBV3+LkNvkp5GnX3rDTbyhKVzLKVxEaxu4qrksUzc0UaMvZXYZl+oLFrWJM319dQH\nkUK+f+RtVrFNoXTIIZ03+UTJkr6F6YrBZSQyLKY3ZiPBJuQLWu0VkhJrs5GSguIRNnvJNTfD/feH\nngG3O+R9E7YAm6hkUkcYuKfrlj5Ma6SvSGuINGiNjDezY2UIWF2T8z22cQ0TWMNnHOMExzhNOgmU\nc5gt7GcL+1mJm2H051lWc4gTJBCNHSuvsZF17GQ127us7ymNqH4k82psKT91XKFggr0084wlVD7M\njo217GI6I5lKgek11c+n9NJJnXZuIMOrokipo4GneZehuHiWf3EDRYxiADeUlnG+ey19PCcY4ppN\nJn2UjdhE8jnKCco5zDFO4aGJBprZzWF6E89TltW8yzYAVlBGKZU00cJ+6vDSyifs4VP2d7AVbNdu\nRkqfxOp+EYenhkLXTUy0FBDvOUaMr4EofxuXHK5ljAcedx1X8Lo9ralq9k7pJGU+8w3F2SLnDLiv\nWc5kALoCCn9lYlChoCdtke5/I0oRo2ONrnv06FFy+w00v0dyLNZ1G0ioP40jb2hE3JUDG2ODLpwW\np0KnQnIyCcl2TRj0plkxjLd1vnj0Ho5OHq08Dfi5KzZ99QtNf5wDm5LGbw0Gcfna6XXqKAH3C1g8\nh0hyXRwODnZNoC13On2zriDWNZVdzVn0L/w20xhO745dfR0NJOHE4ZpMZe4oHsqqJYd0hbrFaIGU\nL6NcOnng9JQkDn8b48qbSEp2Mdaep+ARh5SfIGHhq5yw+2mpP8KRogIezdgShvGRXrMMkuhPisYj\np8eWmYXk1JsDGXqTxzuJxlH6DLhfoMgTTbvrfOU8JzEcO3iQAb++B8vCl2jddxrH7fNh0AWGc6Y7\nIkNIar7GVHppdGfITaeSrqqZGIWGQh6dpd1ivDfrj9zAqJMW+qWEjCKjpI+eiNmzruebM6Op6cl9\n1J5xNweppg431fhp5hZmMIi+SnLWXo5xNeOYQB6bqKSSI9xBMRUcpokWtnCAmYzmOxQpeLeujIkk\nnDgIcVeO7Juv9EuN35OYtEiGPKAkwRjhCPVVMNQbB7n5eZp3aaaVT9iLQLCO3RQHR2J1v4gn6CHK\nd5y/5FopsGRpvOBDyKSSI1RSS39604CfbzOR+azhh1zIcPqzjUP8iTkUkMlBaikij2N4uI/rmEQe\nkxmieQ7qgvU0uOcRH7Ri8R3HkXtViJfUNQHboBm0VqzAYRU0+g4zJvc2Bln6kU4iQ8js9vibiYMQ\nzVRPIz9nq5wz4L5mOdMs1C974nVJetiROeX17NHggtRt6c4uWho6Zngho+uqJZK+vDTzmH0VpcX5\nnF/0Pewl/2OI61O8Nx19sh7fD7+ZF8qYXLeellnTuejCWE0YVO/1MPIgqg0Co7CxUZ/0+vLSzJ/9\nbzGm/DT23unQ9Dn46gmmFiDqd4XIbH2nldBeWAkjyyomkkcbASULVb70U+mlZOMWMhibxcF5DKAA\nl2YHr9aTbKMaJ6LuJwB+P21zbiJm4d9h3Traii9XwtbJyS4c6zZirz9JTN4wMkt+Q6E9PwzjI3m8\n/sUO5UUuX3QObJqXl9QvoDFs9KWrZB/msoQdwX2Md6+jNnicON9pnsyFMZZOA+fUunX0Xr6MWruX\npvoaAlOKiMsYoIyJ0bx+mhWMJ4/f8xZ59At7BmQf1HMuTHcRxCgUGik0JI3DSBiq1bhDWKwIYpS0\nYLNp52p31i0zvem/V+Oj1B7uL7pBVSePjGIg0xjOUU5QwgxNqHE8eaQQzxSGkkrIu13EEJKJZypD\nqeRzamkkGisTO/CUc1lsSkSrl/rPa+nXr5+mX+rzurqGPglGigxz906wMT4qtBF1YGMY/TVQDAc2\nEollPXvw00YcDu7iatIsvWn27OW0rwZH+hhWZMUwjaGKJ1B6kY/SwCBSqeYEKcRzE1MZiouXWEsp\nldzAJBaxlgsZzlaqGEQa5RymlEoKGax4TeXYPmNZw1RPDLG+RqWUnSJWB/VVW0iKaiE2fRwJWRfz\nCP9kI3uV7PrOTVnP33+SFHmcyoP5TZaz0YA7xwP3b5Yu+aQCLUIs/S/R+uYNYt/SK0VtoL7n1+hG\nG9T/m4mpvlRlkSJdQ+HRCtSJlqU3i0NvXiZaX75GBEaNEJ+PHSRaRw4TC8r+aF42J4KcKeeQ5ro+\nn2i9dpYIjByhcKc1BRrEg2KJYTkp/fnqzxvcpZp+S+6s7vCJ1QqPuFU8r/BmRZLjWz4SR0cOEIGx\nY0Rg5Igw/QmfT3jLNio8cEbcWurSWWa6N+ICM+Ih1EigpfN+m54U/qXfFWLTk2HHlW3YIMS114rA\nyBHi9LUzuywd9pRYLkrEfPETsUApx6TmJVNLt/j9TMToHD0nX3dFX5oqkvj9QlRUCIUDUS/dKaVl\nVnasq3Jk6r+/EM+l6Joz0+w7dck6yWu2UewWtYE68ZRYLu4Xr3db93rOvK5EckKqRf+33y/EL+8K\niOuvF+Kj3z8pAm/9l2jZ9GjEvu4Sh8W94hVNWx4US0Kl8wzuIY9Rl7krEfPFI+JN5beNYreGJ7RJ\n+JV59qpYZ8h9+KHYEfq7gwuvKdCgGe+7mxZpePIkR56a/687z5MZD92ZPIdnq5zjgfua5UxDqF/m\nzqFLj15HhQKr7wTR6WNJzpoedoj+Gj1po1GoyOxcPV+XA5viScNThcM1uUs83jgGk2bpjdVTTayv\nAUfGWCyVzcTVN2LLG8KQkvtD2Y4GfYvEARcp86urvit9Li+HhS9Sa/cSV9+IpWgyRzLjuJgRtLvO\nJyb3KsgqCsNEGdFNqHf+bQSZSoESOugqiUSGdsw8Oer2/zX5U6atO4Gj/iSWvPww/XntQZ7I2MpY\ne57CwebmIOeTo/G4TCSPdtrJIlXjxdJn1rUS0ISvpUgaBdkuR+kzBNzPk+A5RptrHG2ucTyVKxiT\ndZOWriXYypHjJ+lXUkJzUSF/LnExOnZoWJhbLePJ4yBHmcsN7OQQv6RYU/FDLWYe2a7EKBSv/s6M\nv0/2X1/mLpZo0kggi1S2sp8cMkw9GS22Zvp4Yt3LAAAgAElEQVSl2GixNRvSFemfQ33ZrTC9dcAv\nzPRp5OH+MjxxkcbQ8PrBVtosglW4uZDhOLDRi1gySKK99Ens7peweA7T6BpOKfu61Ta1rrqifZJQ\ngo/YqWRxqnFb8tzyyhZeWualtx0uS19IfFwL9a37iM29mhxLP8O5dpxGvk1n9EQJy1rilDVBT7Eh\nvz9ILVs4AMAvKVa8V72JJ5E4tnJAwa+GPLztVHCEEi4hjUSFgmcvR/gba5nN+cRb4rGXzqPe/SSV\nnk0EXYWkkRgql9gv5GGvog4n0fSjt2ocozUhWaM1+SM+41U2GmayGs33Cmo0yXffFDkbPXDnDLgI\nol90vixjrstrdBA6erLO6zIDq6cLr1GoyEykvpR7BF043C9p6pfqcXqyTWHhK9cErLlXQvYUKC7m\nVNEo4kp+QlusPUy3Xb1QzoQ4Uo2HgY7FPTkVy7r1xNU3Ys3L51DJ1TxiD5UUWsiHjLXkhpGuGoUO\npa4S+/VWMDH6jMbj/lqSyvfjTY4Fuz2sT2YhBvnSl+0fbc8lrvgahY7GEZugOV6P9RvHYIWIVP37\nZvaxmE8oVYHl5e9Sv3FEK0aL2njTh5KfDr7NePda6oMniPZ5eCJXMMGSz3jLEK3hUzqfgPt5rI3V\nJAy/DHtGf0bbc7uVqDCePAAmq8DnZseeSbjHzPBTv7yM8Fj6BAqAP7CUVWxnFNk8zwdUcIRWWnmJ\ntaZYTZmc8zF72MReDaZO/xyOZACfUEkRQ5RnRdGHaoOFa0IYfksd4j9OIwJBNccj4jK7K/IZ1htO\nVdSRRiJZpLCfYwRpJ6r0KXzuv3LSs4MPXAk4cZBBcsgwDfZnsHsFbUE/iT4f03LvZKJlSLfapteV\nmipHn+0rE3C2cIDrO4wtIwM0OcFGhduO55SDgr5VDOp7nLi+4zidNcaQikjSFcksaPW46fGVCcQo\nBOdyMyrbNY5B5JChGbeJ5DFF9Qx4aWY4AzQbLEnBU8w48skgnlgeDb7JZe4yEoN20n1t/C7Xx1hL\nLv7D9WRkuqighsdYzjbVZk/ecyoFyjzT88s5iaGM/eynjmxSOkjjzUWvm2+SnDPgvmbp6QDovUH/\nzmSGOkuTYc1CI7Bxd3Fx8hpdvQClSH0p97A4NfVLNXgK1fVN9dRh7NXZfczN2MBQe7YhcF7fLyNp\nVXmAuhJ1m4BOzi97Po7iWViKJkNJCUmxKUoCgRnpqjqBQq+rAf2ywsD0AIf8h6ifM5teC1/j0Lq3\neKk4gTH2vC71ryb4lWBnJzEhguGMHKUqhNqY179A1ZxsamxYNmkkEM2NTDZNpugOvtCBjTGWHGI9\nR4j1ncaePoYxWTcpvynXCMYScD9PXbAep6+JmGFXK16is0WMDCtZB1nWCn2EpZqaqw46EyicROMk\nRlPtJJS0kkQxhQq9h977pU7OGUW2QgEhRf8cOrBRyj4mdeAvlfkc7B/aYLW1QP0hGHQpOKI1/ZFk\nrvNYTSmVfMROSqkkh3QSiYtI21FBDXE4NPNLzqkKanieD3BgZRHrFANUestlduM2DlEa3MlI9/sE\ngn7ifKfpnXstl1rG0kaAtezkfUsFCZ5aEn0+UtOLSMi6pNvzRK0rNVVOe7ON+++Hpcva2eaOYsqU\nkBH3AIuBUGZnMWMB2M8xjXFhs8HUKRZGjYLhl03AMfRyrFlTTJ8PNT+nPpFC/dwMIZPX2MgPuJDc\nDqyk1KcHL/NYrZCZTySPkQzQ0J6Y4fygk4InBgePsJR2i4UkTx2DfBba00ewJasv00s/JH7/GwS9\nVSx0+fgBF3IlnbWkd1KtePpAi5+U3v2huFjFNry0cA0TwiIi+neSnrv0myRnowHXLQycx+MR99xz\nj7j55pvFqVOnxG9+8xvh8XzzYttfNIb9RTEiPRU95sio/p7R72bSXXyK/GyKJ+nAwEW6T1dSKzwh\nvNaWj0PYsx7UwzTDOXXVd/XnSHUpI13PDBOlxsCFyZYtwjtyiDg0doBoHjk0hFHrQpqEX8GUqdui\nrjuoxqkY1WlU68lIZ92dz2Z4nbDfAy2R9bfpSdG29PviyNLfdOu+X7cY9cUMe6c8W7q6m4bHmOi9\nSfjFb8TLYb93BwOn/L3+URH8/UQh/ntUWE1cNUZtlzis1OSUmKf7xeviVvGc4XhL7NXd4h8KZk3O\nKYlb+6VYJErEfHGLmC/+TywWQghRIuaLW8UCBVu1UewWB0WtOLbpAbF/6ZVi1ab/Es+IlaJJ+MVT\nYrlSk/UWsUC4A7uVud1dMauzu2uXEN++Pigu/u5J8e3rg2JrRbNyjMSb6TFmkcRw/ut+7+6arL7O\nbeJ5ZY7JNkhdG2Fnzdqprvd6UNSK28WLokTMFxWBA6G2BRpEy9KbRdWbl4qqpcVhWGs5plvF/i77\nrcfMqo/9MrDaZ4t8YzFwd911F+PGjWPz5s3cdNNN7Nq1i1deeYXi4uIv2db8auWLWtD/bm+BPrQ0\nlkEQbNVwa8kdTpfYOkKudSP+o7Dsyo7Px4/Wh2V0ObB1hk1VdCDY7Rosh/rahnrz+3HM+QEs/BvW\ndetxFM/SUJBE8uQZ7Xw1x/vbNO2S+pOix2+Z1ajU398MEwXwQsJ6RjiygRCxaBLOTqxHRyWFhPrT\ntOfl0l7yozDCYz3hbUXpr8lw/5N2z35iXFOU39ThYwc2hXdrEvlMpUCzy1frSa+z7nqUjbBh6nPV\ntU6xWHk6+DZjLDmaklfqMLo/9yIO+vp+LTvZnoreUwZawmW1tBFgaul72N2LsHgO4XWNiugtN5Kd\nVLOePQwkVVPayGjd0rdN/u2rh5MP/43YY04s9fX4isbRmpGqHCPb0I/epNILSUHT6V3ON8R0Sc9J\nMWMVD7ScU20EuZBhTGMY5zGAzzlBNSdZQRkA7cBePmcNOxjJANJJYr7rNFtz89iR1Y/PaWA126nn\nNFvZTxFDWM9uPrPU8BEVuDnAeHI1nicP3jA9eGlW1iy9nqz2U+xc10yrrxf9B0DVrBUU2gbiwEYx\nY0khnpEMoB+9u/QQGc7/YP9QhAKtt1Od0f0Rn4XBPuQa3taBNZWUN2MZRCsBknBqqimovekPsJhN\n7DXEAu+kmnmsxkUybwQ/4qSlmRuYxDuWctayiymW4cR6jkD9MXr3L8KaNVnxPNbRQA4ZmtJqRvNO\nieQE20myhIdDzd433ZGvjb4rgpyNHrhuGXDPPfccDz74IK+//jo33XQTEydO5LnnnuOGG274stv6\nlcrXNQBfljhKn8HhfokJHjuxrqlhkzwSaDdSsWh9SEx+Dguhqs/rqMIQfP55LMuWUT1zPA/HrtYs\nJmYPoZdmXin/K8MXvs8xe1MIg1Y0RUMCLEMMZmSiRn0YQibJfivMmaMUfqe4OKJhaNZ3oz6bGUQO\nbETtaeLN9G2sZRerKceBhRdZG0rHtzt5sjiK/kVX8VBJH7bGHjMt2dRGgGeD73Ct+zPagy0c9e2j\nNncSwmJR+qmuO2jHqrx05fjr54G6pqWcC93BQCp97qjjajRfNHoofYbx7rXEeo7gcE02rPbwhGUV\n/eviyer7zQuhSNE/Y16aeTr4NpPcGzQ4wHyLy3Cemom+HqmUnqxbrcnxJKzdjK3+BG15g3m8JIOP\n7QcY1zG31MaeXqQRYSbS0FOfX81xnmQlw3HxGhu5jFFMII/9HOURbmIFZeTTl1u5DHfrZ2ywHmQb\nVfyQi9huqeF/uBQ/zdzJVWxlP/U0kUQsmSSzjzoupIAfouVh/CNv8y5uw+Qco7nl9Z/iyA+vYOb2\nlzjPuZdr/zSNifG5eGnhLUo5j2yO08hfeI9yqriYEWGkzm4O0EKbskFVPzvTSz8i2f2aBneoXkcA\nU6B/FXX8lfcUXK3U/4fs4Dk+YAT9lcQEBzY+ZAc5ZFDNcTaxF0BTCxtCz/drbORGihhdupxC9zpS\nPScY57oRF334gJ2MYSBJrovZ1ZxF8vireIR/8gE7SSGeeaxiHIPDKHAMk3BKnyLgfh6L51AIu91x\nXDXHlY3lmRhw3XFI/LvlbDTgumXaWq1WTp8+TVRUFABVVVVYOl4o5+TfJMFWqN0OwTYctbsg2IbT\nGsPtXKnB6Mm/pUgMRhqJ3Me1ptl56gXS6KEJu+auXQR376b184PE7NtH1rdv47fLX2BAbJrmHH17\n5Pc3Dv0x0XmbydhbgT2vAAoKNMd4aWYBawzPNxJ5/B27MojbuzdktO3dCxUVMGaM0i8vLRGvqdaD\n8e/Ryme1LhNbY/gVIY90Ncd5o3kzMyunMTDXRUwM/CD2ShaMWcMvuFbxfJjp6WfWb+FIPwa120lK\nH8afrZ9ynNOkkMBtXKboBVDGXI5/CZdofn+M5UQRxS+ZiZNO4uP7uFbpi9RNBTXhnofSp0ir3R7C\nPE74uUrfnZmlaSRCsJVA7TaOB0+SVrsNW7CNNGuipl+yn7uDOyMN5TdCOudTaJ78zPotSD9MWu1O\nbOmjmGWd1KP5K0VvvPW0TU/EfsDti17AXnEQe0EBv4iN6vitJWJ7zNaPrqQAF7/gCgpwkUc/5T7X\nMB6A+ZSEshvfKuEez34+T0rg0dnX4KcVH638mXdpooUAQW5iKlvYx3aquZLR1NFAMYWKnuWG4S6+\n1TH/ors1t5zv/ZG8Yc34UlpJ+fgt2g9ch3fMUO7jdQRwiiZ2cgSAU3i5g0Vk0ptbmM4C1nAxw/kb\nawG4m6vx0wpAFin8MbiYn9ZuxhmMobW2jLbgaZzWBMo5xMSOpJc6GigkhxbaNMZbHQ08xnJ+RbFm\nTXBzgLfYzGwKNcffzxucpplWArg5RCoJXMN4zTMr18ESLiEtGEtrbRkngicorI0iJmilwOribq4m\nmzReYz25ljicxHA3s6jmOFmkMJi+mnVOtnUuS7hf/Q7peObrgvXKM19n9TGXxQjgp1xGWjAWwvPc\nuiVnk/F2tkq3PHB9+/blrrvu4ujRo7jdbp555hnuuecesrOzv/oWfonyjfbAddCL6BMIIoH+9d6m\nrh4I/fFG+lKOSR5D9LKV2A4cIiomBqxWkiZfGlZKy2y377DHQnFxyPNWUhJGAtzTHZhyfHJfTeF3\nSkpC1BqyJBVLNbtCIy+hzLbqbnFzgIN1hxncN5s2AtQ3+5gw/88Mr/k7xz/9kOhRs7DZYCJ59GpO\n5FClTcmEk6IGjzuwKZnIcVkXKSD5CxlmSjSrBsPrky7O6wA/Q3itTJlAkkCMAppWdvMd1Sn0WceG\n1S8sViyeQ8T6TtOePgxr1hTD8TebV98UUWcEqsu6nccAnnadojD3NjxZozTlu5Rzg40hFvweSnf1\npcwHe4JSc1l6ZJ/mXdPapppze/rSDLYSZ4lV7vMMq7mS0cwj5I334OWJ1je4+NN1CIIkNLfRd1gJ\nL1s/oRE/rQQBqKWRUiqp5gSXMJy/s4F6TrOeXYxhkCZ7Uxpy3ZpbwVYCu/9BW9NJYh1RxLQXEPPj\n26i3+9jLEYbj4hYuI4d0htCPbRwCoJ0gs5nAWAYxiL64SGY6I/HTypOspJRKnDjYbDlEkqeeXj4v\nn6TH8VqWoIVWXmUjKcQTjZ3fsYStHOAg9bxHOSPojx0rbQQpZDCnaOJ1PqaIIXhpph3B8I5asTLb\nM5l4ishH0E4lR/kRF3MRw8ki1XAck4kHi1Whb4pOH6e8M5Jw8hrr+ZAKPFE+ihJCFC5xOJT1zYhi\nSiZGKN9ZrAQ8+2j0HcaZPk5J7JCUSNmlr+J1/xWH57DinTOqMBRJzpRE+KuQs9EDFyWEEN25yMmT\nJykvLycYDHLeeeeRkpLS44acPn2a22+/Hb/fj91u59FHHyU1NZWbb75ZOebAgQPMmjWLX/3qV8p3\nPp+PBx54gJqaGtra2rj33nsZOXIkL774IkuWLKF371B4Z+7cuQwaZL6DLSsrY+zYsT1u99kkVcHP\nybYap2rX0RDmYTPzqJmJ+viysjKGjA3nJlOOOXkSvv1t2mqPYB8yDBYtMqzGcCb3/kLX8IuQ562g\nQGmPvLYs9WTkpdRfBzp2gX4/7NoFQ4fijY0yPPYh72J+4byKp1nJsR3tPLV+PtaoIO3CSuXUt1k+\n/ANubb6SP9wfQ3V1iHV/7txQoXO1VyyNRE17zHSi9gAZHav+XXpWlP6YXMPMA4eBB85IjxAyUp6w\n/iuiJ+dsew7Nxt8MKyp1qRa1Hr0046VF8yy2lj7Gkdp19EufimPCr8LOjyRfVF9yQyK9sJGO69Hz\nV/oUgdptfJoeR86EhzVzt4o6xXtURR193/o5wnOQY0lJ/H72bACG0Y+dHGEmo/HgJY5o3mMH3+cC\nknCyhX1sYC+/4Aog5PHqyktoqKvSpwgcLcNmycQ74y68sRbu43X6EM/PuZI0EqmjQfF8AcymkEsZ\nbXiPCmqAkPfRzQFqOEFx8DzqrH4AFrCGyeQzjeFAZ5WVP/A2P+IiskjhUZZRTyMxOGjqWGsGkoKP\nVmpp5BdcwZt8wneZwmMs5z6uBeBeXlfa8Sfm4KWFE5ymDwmkkcgm9vBGRyg7i1T2cZTxwWxOWFuU\nZ/s11jOBfFZSxo7gYeZav6PBxurXFSmma1GwEadVh4ELtuJd8QOOB4+TYk3BOfNFjm/+PSm1ByFt\nOEy8w1C3atGvi1+3fF3rVqT7RvTAzZs3j08//ZRPP/2UHTt2UFdXx/Hjx/nss8/49NNPOf/883vU\nkNdee42YmBj+9Kc/0draygcffMDkyZOZPXs2s2fPprCwkPXr1/Pwww/jcDiU85599lnS09N5+OGH\nGTlyJJWVlQwZMoR//OMf3Hnnndxyyy3Mnj2b5OTkCHf/hnvg6CCwtSw3BK2a1QTtKQBUffzBusO8\n2rcsbCemfI6Npe66GTwz2Uv+D3+L0xm53mQk0ePA1PiTHl/Dnocjo7+CfdMvPE8H36a/JU2hItGT\nsKoB3xLrJzF1+mQLqY+YXc30SXRycbkgNzsftm4n1tLIibZssmbcyHjbII5UxoTVvUxJ0WLrzJIq\n9BjCx1mhqXGr9goBGnoBSZ+ivlYFNQpthPTKCESYHnBNwJt7IY6sUK1SuSOup5G/8h6FDNZ6Dy3R\n3eYXPBvEzANrpHe1l0rqe6TKu6nGYknuLACCrfjdz+IPNhHja8SRW9wjL8QX1VcbAUPqGz0FTY84\nLzu8s5ZggHRfK/NyreRbXIou1OtTEk5sBddyYNhUXh6ewXeZzDgGMYqBbGA3VzCGixnJAFLJIImJ\n5BOHg1Vs50aKWMwm3uczxjCQixmh6YfeQ2OoK9cELHlX4i24gCfs7xGLnR0cJho72znEgA7P/PUU\nkUwcg0nnbcrC1lmpk1R6Kfxuf2MtNzEFhyVa8QyOZRB5dLbBSQwbqGA71aQQz3AGUMhg8unHRvbw\nHSbSTAu/ZhbD6M82qriKcYxkAEk4FYyrkxjGk8MW9tNKAC9+XmIdpVSyjgpsRPEqG2nrIPYtpZK9\nHONDy26FKuaflLKRfWxgN/U04mizcrlttPIMSyJpDfl2h6jngzRK2wjgtRhQOlmsODyHsfs8ONML\n2Z2ZQevW+SScPoG1dhc0HoHsqebzizMn5f6q5Gz0wHULyFZeXs57772HxWLB4XCwdu1a9u3b1+OG\n5OXl4fWGsoeampqw2bQLxEMPPcSdd96J06k1TjZs2IDdbueHP/whf/nLX5gyJRSe2blzJwsWLOCG\nG25g/vz5PW7PN02ySVPwC4r4/VBWRprfYbpTMcNzdSUxQVuXmJi02L7c2hpD2vv3h7w1ZygSwwIh\nQ6OOBp7gnR613QhzJ19McsFxls7n9hUrqCy9mwdYTAU1/I4l1NGgHKu5565dISydClMnf6+iTjns\nJCepmTMT+w/+m5E/vpvU782ncuo/cf73AmJiQhikgQMhPauVQCDkgVMjEOS4KX3wC5xlO7ndf1G4\n/oOtBAniJFrpr5MYSriEhf53iCrbqjlP/i6PlWSaD/Km0ne5AdDrwUszT1j/hZdm5ZgKaniU5QQJ\nUk+j5jx5P7UOpe4jyZnO0S8qRnPG6Dt9H6S+F7BG03b1ufIcr7Wd8vQk+lj74EwvBKt2A9BT0bcl\nku7kWJp9rx4zPZ424phYHSGvrNWOI30sP7JeGqYLffvyHXncyqW8ziae430AUklgMaXK8z6SAcqG\n63auJI9+/JqrlXVPPSZV1Clzr0uxOnASw3eZwhI+YTaFfI8L+CUziSNaWTsnU8B7bOcXXKGss8pz\nYKCT5g48nFrqaQz77lJGM5PRbKda6V8fEkilF0Ppz51cDcAJTnMKL9Uc58+s5HFW4CRauW8aidzF\nt4BQAhPATEbzANdxKaP5PhcQh50ZjOD24HQmdxBg3xgsJBYHZVQxlmzu5mq+wyQC1lY+YAe/YwlV\n1PE4K/g9/+QB3uicv7o+h/Bwi/kDS/kDS5nLYuMxKPwfnDMXUjfh+wzZvIzM0y1ENZ9GBHyw55+w\naEbEITOKKJ0TrXQrhHr99dfz4osvEtsRjmppaWHOnDm8/vrrpucsXryYl156SfPdfffdx29/+1sc\nDgcNDQ384x//UHB0u3fv5qGHHuLvf/972LVmzJjBzJkz+dnPfsbSpUvZuHEjf/zjH5k3bx433ngj\n8fHx/OQnP+GGG27gwgsvNG1TWVlZV139RklUczPZ99+Po/oQzQOyqH7gd4gY7cu+wdHMmkEHuLIy\nj5igjWZrgJigjaj2NoTF/EUij+tKWqL89Kv6PSk+ByLKTmXeHQhL1+dFur78rcHRTGJr5JBOd9op\ndTBzz0BGVPwZi2ijzWLBPeyn9ArEa+6jv57UcXR1NS1ZWez5v3tZPqKa8YczWZm3j6t35xMdtFHa\nvJLbbn4NmyUaAm1Uzr2X166CqCiYWjWA5fl7ubRyMO/2r2LSB2PITWnH4TB+9PT3rJo7F7/TRkzQ\nRr+aJTj8e/kssw/BpO8RHbQp4xrrDZD1wH3EHjqsnKefD/L6jcd2EJ1ZgN9pU/ou9RDV3Izl0D7a\nB+QgYmI0OpHHNDialXvLz+/k7uXKytALQ35usQZYMnQX1+4aGnYfqW/18V3Nie5IT47tjjQ4mlky\ndBfFe/JYP6Ba006ze6nPSfPHh8anTSAs9i/UPnldqc9ma4DluXsorsw3bZPZ/brzDHYl6nXE6Jxm\na0AztjXOBlbm74N2+M6uYUR3HC/nMMCKvD3M3BtKADCaF+o5M+VQFml+88xZI6lxNrAyL+SAuGTf\nQD4cXKXo813XHg6nNdG/Lp7La/I17Zft1Fwnfx9X7MnB5Q0ZGnWxTSwdsoerd+dr2iV1o/7/ndy9\njD+cySf9P9c8N6M/70ufljhl/vRqjQnrq7vPETYPOAqguT+E5kig6QXGVTXicw6mMukEw46cpDUu\nlx05VyjXSP/8DVqDO9nXNw1/8ndxeRNpcDRz2t7Cqtz9XNVxbzkejY5m5dwGRzMt1gDRQRurB+/j\nqr1DAJQ53q9mCfFNBzjZK4vHLx3MvW+9h8/hI6mxiV6tIYNQEEX5iMfwxsaEzRv9PP//XUxDt90h\nkpsxY4bwqyotnz59WsyYMaPHhHS33XabePXVV4UQQlRUVIiZM2cqv/3hD38Qb7/9tuF51113ndix\nI1Qs1+PxiMsvv1y0t7eLxsZG5ZiXX35ZzJs37/+x997xUVb54v+bmWSSEFooCSWEGiAIoSNN0bVT\n1gK6XFZdd/f+sG1f17te765tXVfRFd3VFdYuFhQkAiIoiiCQqIFQJKFIEpohCWUCmZmUGT7fP2bO\nk/M880wJoOD93c/rldc8ecopn3PO53zOp0at/1xIZn+qYBvUsLBQ/LnBxPAVuT3k8MY1pnetSchV\n4uhIidr1uh6ShbKuqMA20bUKLKmgPn+2SN5PI5YXqfxogRrtAlfGU060IKmV4g62MdTWWME4jXte\nr8jGjaak6yJiCl65+ouPjQTt26ePlVrvUVOAVVVWXMmdCwtFcnNFRowQyc0Vz8YNRpBYX96NUr7o\nCjmRN1Me8r8l98vbBq48hevFnzvY+E42bjQVWyaVwT5Mnx58Hgr0ahrj0HN/7uCw53rfYwX3jYTb\nSnHL7f55waT3/pqowan1b+INCHq6wUPtylOBSivFHTHgtF0frEF/4w3uagUr3bIGY9aTwdeKz5gT\n+jt27bXrx6mCXqaVPuj3i2W/bJI98md5y3YdlUml/FneCgtgrZelzxnrPIyHxi+UDUbwXhXk+gl5\nTxbKBimW/fKMLA/rlzVQrREgOBQEWaRpXNRcUfesY66eFct+E31Wz/RAyTpebpd5Rntvk3lGH6zB\nfGv9NVKeN1UOLJokjYtvlprFP5LyRVdIad4UqfWH9kx/vUjeT8X9+tWyN2+q1PqPS6345M/yltwn\nC6TEXyoPyDtSKW65X942AhyrpPWV4jaCPiscrc+/Q2rzfiyy4YkgjV10ozTm3RIMEpw/R3x5N8qh\n/PtFXrlUZO5IkVcuN+1R1rGMi1Z+h3AuBvKNS4V6/fXXM23aNB599FH+9re/MW3aNG6++eZmc5Ft\n2rShdetg7sYOHToY6lSAgoICQzVqhREjRrBmTdCN+8svv6Rv377U1tYyZcoUPB4PIsLnn3/OoEGD\nmt2m7xKUGupUvrNVaQwciLNffzo1ptCu31D+nXMgTPX425CRrgJHoBEqt1IVqMZfuTnoYWgBpR6C\ncHWmhzpms8QkNneNuQumPGcyctfbbld+NNWs7gofTX1rLSea6kcF3q0acwtMeQ7PmFuNd3X1oQLT\nvZQUGD7ccIiwsyVq7WgLr75K/Utz6fHq+6SmpJneVWMQl0pg4MCgB21jI/TrR8ucocF+OtuQnDGS\nDGcnWmWM5rfOq7mLqaQTDNchA3PY2a8VgcaG4PdaaBaV0uib4nUmlbC3ZLNpjL3FRQR27aQy0UNg\n107Tc4Vfq+rKUE9b1JBN10mm6+nFA0kveJnUZb/h7oIyW5zq4/BsKIhpPAb2seZWc8BDHY+zlNks\n4UU+4QEW4qE+7J0nWMZjvMcTLDPWiAm570sAACAASURBVIc6epIeppYETrt91jlkdU4IEOBffGir\n+lPtfZylpnUSfe1EV2+XcMAos4qaEH1YSFEoIbsq4xEWM4flANzJlYY6/xHyKKfK+DbASZ7jI1uj\nebOqtz6y+s4C+jvTGMvlDOYhgsb7z7GSnRziQ7Yxh+VczGATTvZx2GijFVcdaB22JlQOYWWeoYcu\nUu+VcICn6z5ibMlFJNSZPZMFCXOCaUkSLQiGhEmnLb/iKuPZP1hBEaVNY+wUOmZMIOBM4GTnwUjG\nINo52/F1Rjoe58ngR04XDRkDOZbsp0PGBFKdwX25BS24tOATuiy7h0sKPiGVJO5iKll0pB0teZMN\nFFFKKkmGt3oqyaQGHAyprOFw4DB1VUXQaRB+ZwJfZLQk1dkKxvya8ikP8ucxXSi5+SU8N70HN6/E\nQz03cgHPspIHQnhR8H/q0zggXi5w27Zt8sILL8iLL74oJSUlp8RJHjp0SP7zP/9TZs6cKTfccIOs\nW7fOeDZhwgTTu8eOHZM777zTdH3DDTfIzJkzZf/+4Ilj8eLFct1118mMGTPkqaeeiln/2ZTANaWq\neT7iST7W9/qvuq71HpV5Gx8zJD7G/Qgn/VrxGSmNzpQELlIZzZE22LbTch1RYqal9oolyYlUR1QJ\nnE1bVUqrTbLHhCtdOnC/713ZWFwnPp8EJVuFhabURlHrCkn9Kr0V4S9r/bVKOmq9R03SQh1OVQKn\nS8DsJIp2ac30NunfPiQLZf3Gz0wn9If9CyJKhO6TBYbk4WyALl2LJhXS/+6Xtw3phfW9U4FIdMuK\nW3XPTgKnp1Wyk8BVivuU0iHpqaf0NqhUTErKpN+7R16XP8mbhrRJta1S3HK7zIvaRv1XzQ/9PTtc\nRZujqv0PyAK5PdTeFbLJ1H+FNyte1Low2uWvCmur/p1qb5lUyj6fWybfvU+unlEnU+/eJ0d8TevD\nTnKrl6nXsUF2GHj9k7wpZVJp9LXWXyPu/Idld94k2bv+nvD+++uDa1Hvl79GavJmSPmiK6Qmb4aI\nvyFsXPVUfaq9ImJI2Yx9xSa13r3yhum7O+R5uU8WGGnBotGSsw3nogQuLgZu8eLFtn/fNzjbKlQ1\n6U9VzWO3GUZTP0VjUFTOxmjfniq+4mlbpPet93URu12Oz0gqUbvNSJVpheYQDL2tugpE4eqIzyfF\nxSJut8jv7/bLjBkid/++UXzXzZSG3EFh+SlV/XaEKxZzpD/X2xWNmRKRYA7ajRsM5i0MJxaVcSwc\nxcPM69eFhYURx83u23OJoEdShylQY2Hd3E8Hoq1Du4OSdUx19ZfKo6sfKJQ6LFIe1Gg04gF5R+6V\nN8LqXC3bjDWor8Vi2W86/NwvbxvPFUNi1yc1162bvLVtkXAVbU1skB3ye3lFZslcuTOkltSZOPWe\nXW5qQ12aPyeoPtQOxVY6qPBcLPvl18Ur5OoZdXLBjVVy7Yx6KSlpYq71/K+x9godx2Fz0l9v5Dvd\nnTdJiv2lTc9CzFb5krtMeKwVn9Tnz5YTeTONtRltbukMo6rT9GuDb/3XKsw4lVzN3xWciwxcXIF8\nX3nlFQ4ePMjBgwcpLy9n8eLFBAIBLr88uhfJuQZnO3yBCqZ7qkEz7QK3QmT1k10OT0Od41hhBHG1\nC0yrgmK27do+7lAeyqXfLpVMvP1SoNQUKp+gbY7PQIoRaNbvreLv2ScZ7ujDNxzlEfJswwCogL7q\nfqTwK3p/DFUxCWxnH1MYQSrJCGLkHy2r2k96u0z+cl8CeUtOsn5dC76pOElSooNjFT4GlS6iMbHM\nNm1Yqk84f/MJOrXvaQpREsuNXn+ucKjnaLXD5wh605jYgie7bGJAYg8jEO1IfQ4kJhqBYNW31nmi\nh29Qv5GCbqrcsAqHFRUVtB19VTCcRtb4qHMkngDU3yXoKd70uQMYeTGH0pNudDClEtNDrTQXotEt\nFUB3bMjbUP2vhwRReUxH0ZfBdKeTLzGUh1ilm5vC5sSD3MkVdCMUCkgLuBqp7S4SGElvLiCoqld1\nbmAHb7KB7rSnJUk8zLuMoi8AXWnPZsr4iv0UUsqPmcAzrKQX6fyNPDazl0L2cCE5pjyiaq73JN20\nJqxzR+HKOhcjxVKczRIK2E0X2uLGS0jBSBU1XEKucT2H91nBZmNduUigNcksYAMfBjYyvmgdRwNH\nSfS6cWVPpdxxJJgCK5AJDie/51WmMIKh9OQ11nC89TE6FuXiP5ZCdpaL4ddWMTshj/ak8i8+Cqa6\nIjxtl952nc71JJ1G/LjxkB5IodxxhHaONjjd+0j21uDIGEJK1kVG3lYpeoHqwGEaOcLx7IuY51ht\nBKZen5nGuOxf48qaaKq/ihqeYSVj6WfgvQE/ExnYRKMcTtv0Wvqc0X+te4TVHOb/cqHGqPdUOMJj\nx47JLbfccsoc5dmCsy2BE4nvVKEb0Vq/sV7HK8lTImrrCSjat+uKCppVfrzi73hPVvG0sbkSOCW2\ntxoOW0H1Z5PskTvlefkfeUM2yA5DcmCVft1T+6psLK6TG2YE5JIbj8o1NzTIxbfvl2kzGjUJ3Hlh\nErha71GRey6WwP1DRe652JCIxIOXaG2P9V2kE3W8dVrHOtL4K2mLPh7NmVfnGthJhvR7duqv5qwN\nO4gqgQs5glgdPSKpH2vFJ/MKHw1zdjG9r62pSnHLr/3hhvJ2oPdPGbvrKlblnKBUfhtkh+k7JYGz\nqkXjqU9BYWFhs/BdKW75k7wps2SuPCFBJ7p7ZL7xXNcAWJ0KVL+sEjjVP3f+wyJ5P5V1+bfKLJkr\n98mbhtSyTCrF5xMpKRHx+YL1/Le8Lg/IO7JJ9ti21SqVK5NK+ZX/OWMO3icL5MP8n4k770eyIv+n\nBr3/q/8t03ytFLd8lP8zOZE3M0wCVyaVtmOt5pcaV3UvDM/+emnMu0UOLpos9Xk3ifgbYo5BJDhV\n+vBt0ZXvrQTOCg6Hg7lz55oyKHwf4GxL4OI5VTzLB2xhP/upYhTZUQO76qcjleLHGvBV/a+STm+i\nlPPJNk461qC5+jfVByuZ2nV83Mbj8QRdjIoDS5oVPTBqRJyFUk6RNd7Uf2ugY1V3KklhKWHs+pdK\nMgPJZBGf8xMmsoMKrmU0vejEsBDOdelXcnEdQ3p3YfPmBBqOJdGnRwL3PyCcP8LJ9de5SL5uUlja\nMA91vLX5nwwp24g/4SQORz1H2w3kga4bbCWCVvwpiY/13UjjpeNH/7XOGzuwnpKtYx1p/NuRyuBA\nZ3o6miSOdvOquUGbzxZYJSJWiXM7Uk3PVYL40wlIaqVbxloveAZX0SuMcSfizBxHLj2M8bTGsFPz\nJI1WDEgbSNLafFO6OVdiKIOKJX1a6tGDTNicz46ja2nV/WLbuVXCAVriMgWVDuZFreOfrMBHA73o\nRCGlbGMvO/gGD/VMIyid0dN7vcIaWtCC8fSPOh9ULLJRlrlfUVFBdtdeceM7lWTeYQMCHKEWD15+\nzRQA/s4StrOP27jcHNwbKKOSzZRzFcM4wglaZl5IavY1VGUNYg7LuTVwIT2LlkKgkc5ePx9md+MP\njutCc6E36bRlW0IpgzumkdCiAZcjiTFkM4QevMF6s0Qc87pXwYLTC16mf9EHZLpP4MqcwKhAd7oX\nLeFo4BjtvXW8ld2WsY4ceju64qXeoIlptKJV5kVUZo9lX2M3emVksYdDCMJfWcwGdtGRVnSno1H3\nM6ykBx1YzmbgJP3pZqx5VbaHOhodQsBdSmvvCQozWtM+67KIe5LdmEITrYmHLlnh25TcnYsSuLgY\nuJtuuom8vDwWL17Mu+++y7PPPsuECROixlw7F+FsM3DxqE5Hkc1+qrgj5GVkpza1ZlpQnmV67k7r\nRFZqFKX+g6bJrlSpSoSuyqioqKBH16yofSqnyiAM0frloc6I+q/3wVjQBU8FNw53uSF2VzkAY6qb\nHc6YC1dXyQonyaF71La6SCARJ2PpR1faMzLUBmco9rWLBHbxDV0Ieps6vvgHbUoX8IOhe+k+aRAz\nr00itRW82vF9zk/oHdwgNbWkKqN/+0EkfbIEh6MeR30aLaf/FyMT+0fcfPQ5YMc0RVJj2uHnLT6j\nFxlxEzwTc89xY9zVfdtI/wXP0KroDZM6xTqvzkV1STSwy1RgZY4Vk6X6lUYr0zd24xRpc9PplvKM\n/SJQwrii9TgCfsR7hMezAxQ4vmYDuyiwqMSt80TlIWb8eONAYdQdyrns91bhSB+Mv3objTXlZFcd\npXWdD7qPNbVNBYXOoRtXMhQwZwEZQza96EQuPdjIHn7JJPrQmckMJ5UkHiWP0fQ1GM8CvuZ2LqeR\nQES1YTtSqeY4G9jJaPqaDmsKV5HMIexgMiNYRjBGaDmH8eDlQ7awk0NUcpwDVPMJ2w1Tg284yhyW\nczMXIohxMO7t6Eo3OjCQTNo72pHqPgTeagIZgxiTdYtJ7fspX/EyaxhdsIxWRa+DuxxX5gQA1rMj\nyMAGThoHWivtdwVOUlb0CM6An2OectKyr8flbAnuUmq9B0jLGEtBVjrZdGY2S1hLCfupYjXFjKA3\nh3Azx7GSko6HaeVI4nk+YQg9mMhA+pLBy6wxTFAULVzCJvrTmXy+NnImV3OcR8ijLxnMYxXrKGFJ\nZgJjsn9F96ypYXRiNktM+aX18bmfdyiilNH0pRE/T7AsjJGNBadqnhQPfG8ZuMzMTEaPHs3o0aMZ\nM2YMN9xwA9OmTTvT7fzW4WwzcBDfqWIU2ab/bdNYWZ6PpLcpSbvdRO5EG9vUQIpJcpFAPrsZF7Jx\nsDv569+r0BSmBOg2oBbucjYzKiQFUPef5H1GBDJxFb1inPo92T/A7agzSQ0U1NXB7t2EJYOPtXDV\n8y/5mnf4nNYkmTNaaG3VmdpcehjMcxU1/NX3OhVb1xBIa82/Ez8jkzTaBJzU7niOupNekuuOMWfs\ncc53BTelsZYURoqRValqXIkpeMb9kKR2Y2H67yAlxcTc2qUV0/+PJGmx4sGKH5XMuoEGfsJFMQme\nzmTptjeJOCOm+3o68B7nF62hOnCEFO8JHNmTweGkoqKChK6p4PPh2lqMK60TIxLDUz2dixAMp1Jv\nsgm0S0Ol22/qYUQG0M3WTjEaE6uvQxcJjKIPYxwDSHYfBG81/ozzGJ11M+MZwHj626bNCsOtZufo\noY7HeM9gpDyZQ3kyO8DwrJtIPrqPxKodOBNTwF8H2ZNMUvKWuNhEqXEwDGM0SKALaTTi53P20It0\n5rCcMWTjpZ4VbDHZe42kNzV4eYQ8BpJp2vwfJY8VbKEjrXiPQm7hIhawwYQzOxofbV0omMoI3Jxg\nH0f4DyZwFcPZzUEySeOnXMI4Da/tSKUvGSxlE1cxlBy6cT7ZPM5SBpLJy3wapHWZMyH7Kp7IOmpK\nrVZFDf/iI2YERtKn6H0SAifBWw3Zk3A76iiklNEF7+MoepGAew+rMlNIwGk+qDlqSXcfpUXlV7Sv\nF+rrqnFljseZOY7E7MkcyBrAheTQjQ6Mog/H8VDEPnLpzkj6Ggf6jB0OPu+0n5mMp3eICbuGUQyn\nl4k+BjjJOnZwhFpaABdzHu1IJREnmynjIs6jkFLu5EouYiDpjvZhtshuPCynyLRP6VBEKQ4cjCcY\nxHkDOxkXQxJrB9/WIfBcZODisoF78MEHw+7dfffdp67UPUtwtm3gTtX71FpGrOvTAb0cHV+R2q6H\nCYhVblQPt5DdTX3+7DBvSvXOEZ9P7r5bZMaMoIenL84uW/Gk23HYQaW4RbxeOVz4qTzifd3kvemb\nfrXhTVrk3W58s/+9u+WbvGukPn+24RFmF2T4Plkgt8lcUxDMSB64D8g7pkC90TzTFL7sbNDs8FEr\nPnlT1sbAXPh3duVG81K0C1nz8dZ18hvvs7Jt+vmmcCXnOigvQhUCQwe78bPet3pSW9+PhMd4bOBO\nZ/1Hsmk0QAVmjRJ2KJ71r9tZWa+tc9uOriiPUWWbaldvc71QddDt9fQ6VXus5d0vb9vao9p5rNq1\np0wqZUX+T43QG6qulf7PZXfepFDw3clyu/9Zkx2pMV7+Kjmw+IeGl2mZ/4DUis/ohwrZoejMm7LW\nFGS4VoIe4Toela20Hc7KpNL4U4HF9f7Z2V1a6U+0cbCOZ6Q11Rw4k/Zw3zsbuHvvvZdXXnmFtWvX\nsn79ehYvXszixYt55513OHjwIDNnzvyWeM5vB862BO50xbuR7OEiJT0/1TYqKKvaT1bnzKht70Sb\nuPoUyZvQqC9ky+bMusCkItQlF4/s/px9S3riTBB2HztBr6EeenVsGbVeO5xNY0xEuz8Pdcz1LeH8\nm/9Cqxff4Py1hwhMnRRUO23dirz4EtWJXlpWH6fd+MtI7BJUxT7T9jDLhnXjo6xUvqaScZr0RcFG\n9nAd5zOeAVzEeSbvUTuJmZKqKkmeum/9pknCWcRFnGfcVxJS3RtXqeDy2c1kRtjaCuq2KLrqScdV\nBccMqavyUrSqqVwkBBOJZ0+CrPHG/aMHqvlhdVu6v7gEZ6IraIs1frzJMxefD7ZuhbQ0k9r5bEIq\nyZxHJlvZF2Z7ZcWVSgqur0tluwRmuy9dYhdLhWoFlyPJKDPa2i+i1FD32/WrC+3oSxejPU+xvEnV\n1X2sYWcKhNmq2tEfJWnWn4+lX8g+L0lTsyYZ83FkqB/KbMG6LhrxM591OGjBZ+xkC+WMZ4Cp35Fw\nFY+EuSvt6UsGOWQa95X5yRyWG+tI2YTdxmUm1bi+Tux+dbykkkQ6bUnIHEtK9tWGx2ebgJNXnZ9z\nqbsVGd5GUjJGsS6rPXdwOdmh8VH2uQWOPbjdJXTxNtIuYyz/yqqlgK+5iqH0ohPjGcCTvM9HbGML\n5VxCLo+zlLUUcx7dmccqule1onPnzgaNfZrlfMJ2OtKKf/ABvUk31nk7Ug2p24UFH9Ki6EUS3Pu5\nK3MHIzRNSTlVVHCMR8njPDI5xDHakBJaE8H8yYk4w8wJvuGoyVYvkg1g1D1Ozc1AAx5HY5OGx5EU\n+Zs44VyUwEVl4Pr378+AAQPYsmULd911l6FGHT9+PD//+c9JtsmzeC7D2WbgVKRsOxsa63uRVKVh\n9nA+wbW1mBFpw0lNbN2s8qI981DHC60/Y4yrvy0hsrbrjIBm76GXrdS8o1p3ZXtRIu5jLeiZBduv\nfZdRCb2iEmc7nO3jMC1xhdn/qXeGbz1B8ouvBRmH6mpeHR9gQJcRNKa1pnTtQrpXn0T6ZTNnVleG\nJWbjIoGWOxs42S2Z3zHVULXo/chnJy+zhi60M+rSw64AYYykApXkW1fbWXE0ij6Mw2w7145UI8SA\n9d1sOvM4S8PUSkrdVEQZvUjnEfKC7wQcBkFsTTL/ZCWZpOHEwYMspBfptuXp46rKP15xlD4Dh+JY\n+5nJkN6TGAj2y+eDm28m8OILwXemTjWFNDmbdnLtSGUgmUZ4EH0T0kOKWFWoCuyYnVgHu1imDJEY\nKHVdRCnPsYpM0nDjCTN3yGcnz7M6uqpLjaGNraoKY/In3uIKhhoq2Q8oYjPljKe/cQBRczmHbsYB\nZhR9GBJywNAZWes4N6lYPZRzmFH0ZngI35FwFQ/ozEFX2oc9/5oKrmKYsY5UfxXzZsV9OVXG/NBN\nZvSD1mbKQ4eAJJ50rAi+W/B3soreY6w7kc5j7seZPRl31hC2spdJDDMOCQDzWMUQevBmZoBx2b+h\nddYlFPA1txF0GniZNaylhFrqmMxQbuRCutKewXTnMobQjQ5BR6iDR+jRNcugseeTTRfakUsPCtnD\nWkpMhxVlGjGqaC3VgcMc9paxPrsvHzuKOZ++hk1cAbsRoJBSCinlC74mn518QBFr2cFmyhhNX8MR\nqwvtmMNy1rGDvmRwgMO0IYVf8iJTGUEjfrrR3hgf/bCkrj0Fj9FYNA9XcR51X79HS3cFYw4cwVn0\nEk73vrCQJs2Fc5GBi6pCraoKRpY+ePCg7d/3Dc52JoZIKjHre3GrRGyi6ivQxeSRgupGCj2gftcV\nFTS7j2cKIpWlu95HCqKqru3KKZb9cqf3H7KncHkwhIeE48GKV/WeiJgyHURSN0fqgwqboOrU1VZl\nUmlE71eqVqWiiRZO5VTU6LYqEkt2BxMeNTWoUpsYEdmPHJRjr80VOXIkpppK9fnjraEMLF5vMH9v\nCJfGGGg5fv25g42crmfCBKG5EFU9bIFIarPTVQXFY8pgrc/6zgbZYasiVPf0uWntiwGh/Jmy6Mbg\nbyhK/0OyUH4jL8osmSu/lZeMOWsN0qrCrAQz0vzbUJ/q6y9e3CyUDcZcjIQrHWIF9o5UrwodpPBj\nR0+tatQ75fmoZhS2ePEfkK/zJkvDov8w4fYBecfIG6vTDBXeSIUcUe3R1/b98raskE2yWrbJEvlC\nFsqGsL4rfKlylJmAHpDaFmcq68Jns+XRwnulxLvLoCFKzXqPvG7kvlXt2yR7wgIV6zSwWPbLPfK6\nkedV/alQL0oFrPCgrkv8pUG188LLpeGFcVK+6ArxLf6x1C++UcoXXSn1eTc15YG1GTO7+WDt+7mo\nQo3KwM2aNUtERC6++OKwvx/84AdntpXfAZwLNnCxCEasZyawJD1XG52VOVD1WuNXWRPdW+NJNYeB\nsyv/VEGVZd1UooGelkVFB7fG5BIREa9X3NMni+Tmim/61WEJ6nUmTmUrsLP3sjI/1rkVD7Ohx7+6\nQ/4t98obBoOvR6iPBNbNJB7mxm4Tj5paLRTN/eCiyRJ47QqRxT8x7HVqjxwU6dZNJDlZpFu34P8x\noFKaslZYY+lZGWirfVxzNvhoEG8Z8TBLdvd14n8mmE67uRULIjF0xbJfxF9v4Fxtlta1FrEOLUac\n/m6t+Izk8HZx3GolmOJLrc//ltflPllgmvOR6rVbB/X5s6U0b7LU5882fWdH49Wct5YT79jY4Sba\nt83NJqDKUnHj7HCrrnWmRa1h9b2evkzdV9k31J9i4tQ364oKjO8Uc2WHK1s44RaZPl28uTlScc8I\n2fPulUbb1Xjr/beWbfeOuq+Yvlky17inf2dnb1ib/6icyJspBxZNNmLy1efPlr15U6U2/1FbWmml\nQWoP/LO8FWYX+r1j4P63wdlm4ETiYGxi5MwMezeCBC6S8br6tUvzoz+vlWBw2uZsPDpzEys/ZizQ\ng+bGqk/1RzfQjbghhJjehhFDZX9uZlACpJVnXeQ68dfrUQyi2tD2vxfu1NMc3OnGxur/eJ1Dmluf\niXnTGLTGvFvCAm/Wik/W598h9YtvEnn1ClP+Uu9rLwSZt5Yt5WRysiyc/6u42qDWoRov275q0jmR\n+PERC5rLUFnfsz0UiHlNWSVMp9vmaHRL4TAW42M8D0lOPsr/mfHdBtkR00nGBDZpkpS0yBooW29D\npbgNKbPKgWqsI5t6FcNpZUrEXy/VedOlfNEVUp03XWr9x43v7JjdaPl0mzs2VullvBCv04sVt2r+\nWHFjx4zatalWfPJ7eVV+Jy/LnTIvjF7YSeBuCzHiOnOk98G4V1go3twc2Tuqh/juHyQHX7tY9uRN\nNmiIlfnU263mrTVwsT4X7MD20KpLYlX+1foTTd/YpI3Ur62CDnX9fZDAxRVG5J577uHjjz82/j75\n5BPWr1/PgQMHGDBgAE6nM1YR5wScbRu4mO7sPh91N/4nJS+tpe2n75Pww0mGm7+dbQuJiWHxnNQ7\nVhsdIMzmRjektj53EQxO26dzz7j7FynulA7xGqN2pyOZpNGPrrbvqbQuA+hGIwEuDKXzUf1WfXOR\nYDa6TkuDtWtxVh/G1W8gbWb9yrCvMtnL+RoZubWWrmm9GZzYm56kG8/TactAMnkzsJqxReuQQAPu\nk/tJ7DfVZCyrtztS+BMd9DQ1yuBdOXJYDXqVPYwaKw91RmiSWKDbQHkcjRS5P6VvrYPEFl2h5wVh\nseraZ15CSvbVUOcGbzWOjKEMz/oxLTP7wCuvgNdLiw4d6PH3V0hNsTeU16GiooKGrgk8Qh5D6MF8\nPuNGLjCHSUj08kCXdYxM7G/gZhaXhs3ZeMAagqU5jkQ63quo4RHyuI3LjLaqUC9qvNJoxUAyGU1f\nXmWtEQpBOTWciv1eJLqlnFQ+ZTtb2WuKr2UN8aPWQUPRXI4EjtHf6+JY9oWkO9rTnY5hwYettns6\nVDlqw+wm9QC1o0Jr39qGVJIN27eR9KYtLRlHfyN9lxob1YbHWUoxB/kx41nMl+So1H+ObFq6v6HG\nu49OGRM4mTWWsfTDQz1VVVV06NzRcKxRNnbjGUA6be0dbeIEFfOuLxkc5rjJsUEH63q12kdGsoME\nTPaienzPcSE7QkUPdPoeDFAe7FMn2picszzUczm5dKA1myinF50MZxYXTekSs+gEBGn3aPqSShKP\n8Z6RPkyFvtFtXT1pKZSufYceVZDSO4PDPZPp3flyqrKCjlSqn3rKxlSSjPAi29nHlQzleVYbOH2c\npfQlgxdZHbZH6HFBVVuHFOSRUvQ6DvdeSjIz6eRIw1XwDJ7N83C590PmGN51fMEgerCabYajznb2\nGXhQOH2CZUYILTunu++dDZyCe++9V37xi1/IqlWrZNWqVfK73/1OfvWrX8lDDz0kf/zjH88Yp/lt\nw7kugfNt2Ch3DV0h00Z8JXcNXSG+/E3NVpPpEpzThUj4sqv/VCR18bwXTdphtad5SBZKpb/KXIeN\nyscuWbsJokg2w/phkcDZqU98PjHCn9x9t0QMfxIJr3bSkaCk499ynywwSX2iSSzV92Gnd+9Rkeun\nRbSlNLUrJCFQ/dx7ZIfI/PkiR45ErVcHXQKnyrIb5+aqouyguRK3WGBtk7JrtZNe6X/W95oD0UJj\nRJPAWUNxGNLUvJvEnf+wSZ31gqwyyoyVPF1XOSn1v0lCJk3Ss9tlntwnC4wk9WruxlrbVvxZ7UFF\ngpIV63q4y/uy/I+8YasBiKUZiAdU6iwlnbdKdez6pUvXm2PrF02CG0laGk4bm/q7QjaFlRMtrV1M\nCZyIVHormmhpSDV/u/zbCNWkoSjZzwAAIABJREFUt0tvq24Hp/B4v7wdMYSJnaqzzH9AdudNkoOL\nJsmRvOvldv+zUuIvldq8H0v5oiukNu/HssD/icySufKILJJZMldWyCaTylhEDHWtsjW04ljBuSiB\ni4uBu+6660z/nzx5UqZNmyYiIlOnTj2Npn23cC4wcNGguMgnM8aUyo+HfSUzxpRJSZGNXVbh+qgM\nhV1eRP15c4hXJMN8O8Pcb8u4PJooXf2qPtXnzzbFkqv0V4UZXVu/tYUItoXW+g3Ru7/GnIPRX2Ua\ni+JikRk3BORH19bIjBsCUlJyejjQmXS9L4owRTPYvlfeMKmERSQ4p0L91Z0Ggpvz82E2TaqfseqL\nBLEcPpo7T2PBtzEv9bLtxieee/GCHb5ManwLRGN8a8VnMjYXCTJvs2SuzJWVtqYV+rfKNlWf3/fK\nG+ZDlGZDVCz7TeYQVgYwUj3W61iHVsUUfLx1XdT5c7rzSu+3rk6PxJzZ2SPHKl/EbC8Wjy2sDor+\n6yYlenl6W9YVFZzRA3lQBTtPZsncYJzMkDlQrP6rQ04kJliVba1T2b2tyP9pE4Oq5aUVESPepc7A\nKqZNz8t7r7wRxggr5lvke8zAXXnllYZHqohIdXW1TJkyRUREJk2adJrN++7gXGfgfD6Ru3/fKDOu\nrg0mQNfmb633qK1htxUiEbxa8cmf5E25w2JzEg2+LQlcPNDs8iwecpX+anlIFhpMnW5cG43JFZGY\nEjirnZMyBhYJEhQ9EfhDslCOHDsqv7tgrVw37Cv53QVrxXcstn1jtA3fbox1wh+tTHXK1fHwiPd1\naZh+rfhzB8v26WNNXrc6AbPiIFZ9kSBqYFrxGbg9k0zcdwnRDjRnQgKnyrcLdqsYhuaOi5LAxWKe\nrTahqk6rI4oqR3eW0KUr0Rgzq2Q21jxQm/99skD+q/YVU5mK2TyToPp2pzwvZf4DpvsGWLy64y1X\nMTEiTd6csQ5JVsZGtU8vS42BzvjfL2/LHz2vhOGnOQdyu3crxS1F3u3SMP1a8eQOEN/0q+U33mdt\npXn6daW4ZYl8YfQ9Wj91TUOJv1RuDdntGaDZwMVqt53zhsKhToti8g82tqFnAk6bgXv//fdlwoQJ\n8stf/lLuvPNOmThxonz44Yfy9NNPy1/+8pcz1tBvG85lBk4tAJ9PZFNJnfh85o16XuGj0pA7KCy0\nQnPKV4bDMRmYEJwuvuI5YUd6Hg/hDgNNXapvMHYhMmJtIpHUrHYns1oJGQNHCLMghYVSmztS1oyY\nLLW5I2OOnWK09BOptf5Ip/9YYN1kjd9Qf3XmTa8v3k0wnvfUvIo2P76vzJuCSMzbqUiqo0ks7cqK\nNzuKHURTM9odEhRdqRS3/EnejCh90p0RVAgaOxqkNtJi2W84RcTrzKMkSgqU5O9ueS1uXChGNhbU\nik8+y79V6vNuCvOENUJsRMhcEa1M3SNXQTTmTYUTUfRM0Q3FoOlMtjpwKlWhFV/WtjSn3dZvPIXr\n5WBulpSPyBJP7gDDWWyD7DDNC/3A8Tt5WWbJXHlT1oZnBvFXmUKoKImu+r5Y9jc5cOTPkRN5M8Pw\nr/psPWQoz1y1Z+jzUqdFUffDUxzzeOCMeKEeOXJEPvzwQ1m1apUcCdm7HDt27PRb9x3CucrA6YQ9\nkoQoXglcrHrsfiNBLElJrLrsVArRmDPrqexUNqFaf03EU6uu+rPaU0Srx+6Eq64VKFxZJX4iIuL1\nGhKuhunXxjV2OrGxO+FacRgvnuLdEK1tiXYvkhdhJFDq5tNVu59pycqpwuniMtb7dgxvNOb3lA4/\nGkRi3iKZZSipbqQ1p6BY9hsqfD1+mfrVGURVrpWZj6V6tdIsJYGLhfcyqTRUyfEwcZX+KsN7e2/e\nDw2Jf62/xrDB8uXdKOJviKo+tNISnfmOJUVVdE6XRukMiJ0dmV7XJtnTFJPxNME6Pyq9FbLx+uFy\nMDfLoHl6TL1YEjhT20NhjmrzHzXq0udPpbiNcCkl/lI5kTdTyhddEWTiNLMZFcZGHYwrxW0Kr6IO\nI7otng4RD57+evHl3Wga8zMJp83A1dTUyPz58+Wf//yn/OMf/zD+vm9wrjJwItHtPozJrMUms37z\nbUA0FWo8m28kBslu87azFYlGqGO1KxLxUwyMVYoQrQ92gTmtG6WJKbEEGK0VnzzifV0Ob1xjzq0a\noW7rc+s70TaxaBCPei1eKZ6OZ6vqIRYow+loUp5Y909VmnWmIVo7TrdtqmxlpxSvxNXK9ER6pzlt\njHRw0f+Px1ZLSeOsa9/OycNKP5QUKVKcuYdkoSzf/qltvdEcSPQ5HBfzFlpHh/Lvl8a8W0wSuFoJ\nSuaUDZZ+aLQeaGvFJ/8TyldqDU8UzQZO0Rf9WXMP55tkj9zhf1Zm+efGnCvxgqnO/Dly5N1pcjzv\nt6ZYmpFie0ac0/56acy7xQhzpIeMUQyXOjwYOa7jlMCJiEkCt0I2GTTNzk5T5Y21bee5LIG75ZZb\n5Je//KU8/fTT/8fAfcegMzbNIeJnAuKVwNkRDWtbo32vQGfeom2K+jNr4ul4GZCI73q9Il/kh8XU\nM/rirwlKQwsLpdJbYWwMdkyJzydSXCxh6vBIfVE4iDbG0VRc8RDiSMxfc+eU/o7txh3FHkQRQrsy\nY3kmRmrDtwXNxYX6/0wxdrXSPAmciNlT1LZMf01MM4poa/lU6I5i0v4o8w0PSetBKCb98HrlcOGn\nQc/HCP2+3R8e781qDxbpW2u/o4FS45X4S01tNNanv8lmvFj2y6/9c8MkizqTpn+vmFU7G7j6/Nmy\nL++HUp3/oCHN0nEYr7pZ8ueIO+9HUr7krjO/jvz1wbIXXSG78yZJkX9nXM5Odpk1RCQs0LhOS1XA\n89uscf6aaY+2QjYZXqoi9sKHaKYfteI7d23glMPC9x2+jwyciL33jfX624B48BWNeJxOW6O9rzNv\nyl6mORtLpbhNNmYGeL0i91wscv+w4K/GxCmi1/juTVJ9zyhpyB0kvulXy8Pe+VIp7jBvLrvQIdGY\nVlWHYV/nrRBP4fowmzTrN/q9eEIk2OHpVJhtu+cGgc6fI/V5N0U8jUZi4KLV9V0wa3Z1noq62S7E\nxOmUGa8zkc4QhUlt1Lv5c6T03UnSkPeHsHRw6r0yqQxbG/qmGW/bVVmqTUqF9l8y35SuKa4xDzkW\nNeQOCnO00cGqEtTXlPo/ImPbzLEplv2GWs5qb2YCzSuyVsIdFRQomzA9DEqt+JqkViEbW/+imdKY\nd4vc43/ZYIysYVzs+qb+/up/S07kzZS9i66UI29Mk4f94RLN5kIYcxZiEN35Dxu40p1TrHhSpifq\nfdXnB2RBU98j9EuFLzkdqJVgwONoh8RYGqlvy2432j7siCeQXE5ODjt27DiTsen+fw8qWbmetDwS\npJKkXSfbXlvLiafcWFDn9MfRtmR+y2TSactvmWzbPhW8tzltUt+WUxX2nXqWQya/YRI5ZBrtiBWg\nVQXBvJ3L+T1TzO9/tQWS3JDgCP5u39b0LNAAlVtI8NSSltRIdZIX967NzChpz7/4kGX9dhrlA5SV\nwb59waC9+/ZBSXl9GA5UW9Q91Qd8PvbfPIXjP5uJ6+afg89HOVXGd3oQWf3en5luDp7s88HGjcFf\nDXcmPAUaTPes+Is1dup5CQd4hDzKAwdpqNzIoUA1DZUbIdAY9k2d029bpgpIarc24g28eyYh3jll\n/WYa5zOH5VRzHAjvR3PLtAN9XNTfk7wPwCwupSfpJjw+yft4Ascpq/iQ9D2HOLl5BfzkJlJ9Yrzj\noY5HyeNR8vBjXvtqXFQd1rZY+1lFDY+SxyPkUc1xbuQCI3DqT5jIH/ghqSQxmyUR+6jTD29xEYFd\nO6lO9JK96zh1Jdtsv2nbYMarTp9UMvkHWGgkhbd7N96xySGTu5jKH/ghdzHV+E5fg57AcRoqN3Ik\ncISGyo2kBpwmutOTdCBI5x7gHf7JBzhxhspL4m8s5mXWBNe/04UnYwDidJGQMZR7nT/iHq4BYA7L\nKafKdk/wUMfjLOUJlgHwH86LKchIpoOzA/Uts/lP5xWnNR9VwGadRjHm1yRMmcc/xvSniFLe4LNQ\n0OmveJCFlHCAB0Pj4Akcp7LyM3wBD9WV61kWyOdl1nA3r3EQNw/yNjhdPMzCsL6lFsyFZbeRXvCy\nca+EA7bt9FBHEaUALOVL07NUknmA65vwcPQozJ/PkaN7Y+5bqSQzi0sNWq7et5tjZxriYuB2797N\ntddey4QJE7jkkkv4wQ9+wCWXXPJtt+1/LShCWEVNTMYmHuannCrTO6fCMNnV+372rjgZzGTTr93z\n5hBGVaciDI+SF5FBzaKjsVDsyq+ixnYDtcsSwaAhUN8O/CeDv+cNNup60vkRDRkD8ae24lh9Ip3q\nU2jXbyhv5xzjdi5nyq7+VHPcwHuvXpCVBX4/dMsK0KOn2DK4dvfSiw+Su6ueTokdSNy1h4Ml68MI\npN0Ye6k3nnl8x+Dmm6n/2U/g5ptNTJwn9B4FT8Gy2yD/76SSTAkHbJnlaGOnnueQyT1cQ0tnK1wd\ncuniS8XVIRecoawOGjOZHEgIK9O6JqxrQyeGZ+JwEi+cysamcKGYKOs46Uzq6bTrt0wGMJgq9f9z\nfGSiCcYYOtuQ6TgPp6eBxMpE2LkbSkq0NtZzEsGBg2sZHdZ3vU4FduPmoY7n+IhfcFVwTpDEbJay\nkT0AfE0F8/mMao5TzfGm+WgDivmYM7CMxn69yWhMpb5fLx7K+SruDVKnT3/gh9ynHXSac5COVr7d\nPFF0g4xcOjs74coYAc5E20PSfD7jD/yQ/+Ia/sAP6Uk6qSTzcy4hgzZ0og1V1PBfYzrw1ymX4hlz\nK6kk05N0epJuzDcF+vpJJZm7mGowjj1JJ3fM32HKs5T2uMZ0iDwVsKsfAKeLaZzPc6xiJhdwG5ey\nkM+5kyvIIdM4cKY625CRcQEpzlQ6ZYxninMstzCRx7iJbrTjz9zAwyxkH0d5mIWmA4m/cjMEGvFX\nbuapwBKKKGUOy8OYOA91PMy7PMcq5vEhyyhiEfkGzTMxf0ePEsgdTOD/+zmtcsfw1NH5vManUQUa\nSoABwfUYZMgXhu0/ZxziEeEdOHDA9u/7BueSCtXOJirWu3YQyTD9TKic4k1mH6uu5oiWrWoMUzgQ\nyzuVYp90WK/XLhCtKsMuurt4vSJfFtjGfhORYK4971EjxIj6dvn2T03ODiJNIWH+7FsUMwq/yYZC\nS+auPLjs7Eesdmh6+IXnCv8m3twcKR+RJXW5A03Bee+U5yXfvy3oLfvqZSIvXCDV6++XWTJX/lte\nj6pG0FUx1meV4pbfeJ8V3/SrxT+0yVtaeVBLbq40TL9WNq6z93yzlqmrpFSi9FO1wTqbEM2+yw6s\n92PRLWvZf5I3bcNRiEjQI/r6a8JiHKoxVbkpI8Xhs/Ni1sdJrUtrdop75HWpFLf8Xl411MurZZth\nxK++t9alfivFLQ9758uBjR/Jw975JnWX3pZ4aZb6Tjf/UOrL5qiITZECLGvB1CdNBRhJNR2tfXq5\n8Zg0xFLpqT6vKyowqZetbY0X9LqUXZ5yMLCqiSO1WdUbqX9/kXdM79dKMLOIso9T88qOhqm6/yjz\npVZ8slA2GB7R98jrwRiCMl9myVzZ/tpfpT45QepauqQx2SWfzr9XZslc+UVdk51dmVQaYUw2yR7Z\nJHukWPYb3qy14jOy5JwuvTrtXKitW7dm2bJlLFiwgDVr1tDY2Mj48eNp0aLFt8dZfgtwtnOh6hCW\nAy+Od+1A5R1V+QSjfZPPTrrTMe42Vh+sjImvWLlNrflfrXkCrWDNVdmO1LD39Vyuo+nLOPrbS9SA\ncfTnIs4LO/U24mc9OxlKTyNPn4uEYB7QrpmmfKAe6vgHKxhJb1yOJBoTW+Dq0h0SE40cl/Nb5vNL\n1yQ60cbAR8uEBNp09DM+IZtx9I8ozfFQx5aC39OlaDF+99c4e02kauqFvDFe+GjW+YxIGWjbPx0v\niTjZTBmTfTmM31pPbufRtFz5KSnH60jqf14wV25i8PSfRiovO9YxrkpoWbULElJoeVLom/1TpjhG\nh0nGHmcpo+hj5Kdcz07y2cVAMk24SyWZflsP0/7Fd6h0nKDlvkrqxozgjWNLGfriaiQxkcPVpXgG\nD6Xz4CGmOlT+QdUvPb/jn1lAAwEK2cPFnGfKCXkquUW/S6iihn/xIfnsDs6fUD8j5WO1W0/R6JaO\nJwA3HjZRzuXk0p5WYWPpSkzBedVVcMGFpvzJql0j6U0yLtZQHLZu7HLBqm8BUz7YUdp6r+Y4H7KV\nMWTjpAWvsx7hJO+xEQ8N7OQbMmhr5NhMJdmQvmeSxjOsJDvQnq9cVWzqUsfAxJ6UcJBedKINKQa+\nGvHzQuvPGOPqHzddVe0dQW9q8LKSreTQjZa4cOMx9S/S97p6eQS9cePhQRYykExe4lMG1fXm1T1f\nM6h1OvUJdab2qmu7uWCXs1rlGFVtUrldPdSZ8r/a5brW54HKLXz00GEWdd7MALrxFMsZVfA+jqKX\ncLj3QuaYmDhUbVA0fit7eZk1tCeV3VTwCdu5gAG0IxUPdWFtUrmEn+R9RjiyjessOoblmL2Qgca1\nyj/cPvMSjmdPpDprEI+zlOH04gJyaCRgK0FWtGMg3elNBn3J4HrGMpSebGEv0xjNqsxjjH0lH6fX\nh6dDKzL//hINKU5GlqTzbsYWDlPDK6ylkFLWUMyXlFJIKQXsZg9VCCcZQi9G0Ye0gIsRjuzTolfR\n1n9cDNxjjz3Gtm3buPbaa8nJyeGjjz5iy5YtXHjhhc1uzNmEc4mBiwbNHeh41Dz57ORl1tCRVnEz\ncfHgK1ZycD2xfbyJ7K3P9OTM6pkiYnrSYT1RtUp2fyE5YZuQIoL57OIiXy/Gba0jNa0zJCba4r4R\nP+soYTwDTERXXY+lH22K/eR27m9L1KMlBgdwBU7SpWgxLQINHPJ+TX32ZcxzfcaNXW5gRGK/MKJn\nTcit2jjB14PUm2eR+PzLuP7xLwgE8HXuQNKrr+Np4zJw1t7nZNiX1XT9+yoajx/CmeCA/hfSqedk\n277ns5txoT4EE4P3Zxz9jY1Px/kTaZ9x8epq2m7cgdPrI7GiigE/+SNJ+V/iqK4mqd95VF4xmS5Z\nWZRTRSLOsDmhz5NG/GykjBPU8Sem8QwrGUs/24TgpwLfJhOoNsrbuIyJDIwribrdeoq0Dq14asTP\nHN7nIgYyn3WsYXsoMXnTXBxTsBzZ9hqOlAboNSGsTDVHNlHKaLKp5rixkXqoZyIDbQ9V1n6p9Tqb\nJYyjP9vZR3ta8R4buZzB5LMbF04aCODCyddUchuXGQfRdqQymO7kkMmQgjwcRa8w0Z3Chsw0trGf\n6xjFBAaa8OUigeTiOvp07hnfAFna68bDSHrzDgWsZTsr2MxmyhlFn7j6q9qhH6oH1fXm1/d5Wbsk\nlc+K6rj6gtacn9DbxGhFpQ0WuheJUXyWlSxnM6PoA2BL8xQ04mcsQbpSfbCSqV3H00iAlYEvGVr0\nMXUBDyneEziyJ4PDGROHOo3vTkc60ooLGMj5ZDOcXiZTArt1PpZ+Bo10kUAWHU3MvBX0sjzU86Bj\nMZeSyxiy6UQb5vA+K9hsEhqo9aHTqod5l23soz9d6Uk6I+lNBu1Ym1JO31v+ixYDB5H49ydJbd+V\nQfTgm4oKtnWuopiDTGEYP2AQl5LLIDIZSW9G0pv2pDKNsVRRQ1rBC/iLnifZfRBP5tBTplenncx+\n6tSpEggEjP8bGxvlyiuvPGWR4NmCc0mFGgm+LRWRyZspTrBL4XO67Wru91Y1h+5pZ1UhWsOt2IUT\nUO+USaVJtSfTp0ut96itemiT7AlLS6N+1Z/ClY5jXd0RU42cP0caF98cFlMqnjAi6j3PF58G+zJg\ngEhystTl9JV9ud2keON7htdtpbdCtk8fK/7sPtLYppXsHZYpnqEDRDZuNKms7Pqg9906Ruq3Utzi\nWf+JSHa2yLBhTblktcwWhYWFtiEU7MpU13ZhHs7EXPy21bGxvB7jgVjhfFQ/lOrzHnldVsu2sDlS\n668xxdTSA47q5VRKMIWQnjdXN9WIC2chz0Dd21R5oT4jy2WWzJVXZbXMkrkmNaoVKv1VsjtvkhxY\nNMmIAxYtHIWKx2hbVpQ1qJsgNKnYXo9JNyOpQNX/G4vr5IYZAZl4Y7XcMKMpD7KVLkSa11Z1tGqr\nek/3PrXGqlTf63TRShv1uVUpbqnPn20K2XEmIdY61yHeOIZ271rphdVTWMdNsewPo6dlUil3yL9N\nc1ekyXtezQfdDEcPwFwpbvm1f6748m6Ug6F5a2TlOQU4bS/UQCCA3+83/e90xubM/w+aD8pQ+GEW\nGfeeDnkPlXDA7OkTJ1RRw+N1H5BU0pO6CPaUsQwtPdTxBMt4nKWnbfAbT33qHTsvV6thvTICvoup\nQaPYCI4KylNzD4d4hDxqigth166gunTXLlJLysLKfZCFPMcqpjLcZAytG34/yfvUuOoMKedKigy1\ngod64zqa0XUDjVRwzIQnOwcCO2/TVJK5u6CMlgdegskdgq6vHTqQ5EymTb+h5ORcZhgxtyoupf+u\nWpyt2pDQwkmnE05a9h3E3pwOhpeYcpjQ+6DwYedJqxuxAzw9rILGIYMgEIB+/fDk9Aqq6oYPN1R2\nnWhjGD4rb00dgsbtwXr2cZjHWRomSThdT84z5REaDao5bjv2p+poZF3/ap7cyAW8wGquZwxHqGUB\n+WF1EfJeTHd2IiFjqOFgonuXBvGRxB1cwT1ca4xROm25i6m0JMnAWcS2FzyFZ9nPSC94mfu4nlSS\nSCWZXHpwCxO5g6uYwjDakYoTB5MYbmsi4KGOdGcnumRMpIOzvanNAJ9idmTwUEeNq84W37HWYE/S\n+Q2TWMTnrKCID9lGNbXcw3xeZg357LRtXySHG+WZvbTXcrpnCW38reiZ5aBnz6bvlOfpUr40ytHL\n8lDHP/mAAAGjznKqeJyllFPFo+QZ3qce6pnPZ8YYeqg32vNnppNKkslL2c5xIZ22uMbcRcKUuTDm\n182amzpeVT8UjhTYrbNIa8/kyRvD0cRu7rzKWmP/uJ3LDU9hwMBvOm1NzhQKWpLEfVzPfVxvel/B\nWPob14Kwj8PMYTkTQmYyqSTx384fUZ+Rg9fZgvqMHDzOgC2dO12IS4V64sQJnnzySXw+H1u3buWx\nxx7j8ssvZ+TIkWe8Qd8mfF9UqPezgCN4yGcH29nHdr5hK2WsZCvr2MFgutOOVFZSRBfSwsTsCpRd\nxL/qPuHYfZP5cEkSRUVwwQXBPV5XTdqJd3V8KfsYO1uu5qqh4lGlKvVLW1KYTR4j6WuoEj3UsZW9\ndKejsbDG0o9i9tOJNjTiN1Q/um0IBDfUf7KSW5jIwLTBsHYtVFdDv34waxauxBSjDW48rGIbN3Mh\no8gO3gw0gMNpsjMZQDfeaFXA9a5xpOJiKZuYyEAmMtBgKJWKwRYCDTiLXqLVSSeJ3mOQPclQXSj8\nlFNlsgkx2cAEHDiLXoKTfuiWxsGbf0eb//4LXHwxybPugJQUGvGzj8O8mraFsWsP4Tx8BEaMIHH2\nE3DHHbRL6UhfMljJFn7GxWTTJazdVpWPIpAjApmkOdoa+BiWmE3y1Otg/Hg8s27myZRPTGNdVrWf\nNztv5BIG8w1HeYQ8Y06rvj5CHpspoxfpPMVy7uSKcC+3MwDfpg2dh2CYGF01qNcbS32mQK1DhRcd\nV2p+d6MDI+lDT9IZTi8uZ4j9uGWOwZE9CbLG27ZF2TlupJRsOhs491DH0yznA4oYzwAAwzbShMNA\nA56if3E4cJhEr5ua7InMc6xmAN14hpX0Jp3udKSCY7zLlwjCZvaa+qTqe4JljKQ3nsyh3Jd9ggFZ\n1/NPPmAFW3BzguVs5tOQmhiCG233qlZUZdQxyIKjGrxcSq5hyqFUanrbO9GGAXRjFH2Bk1Tgxks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gwmJnEbR3AhE1jHdu7ku3QnQDmDGbopwOCiQSnv0E8BLud0BtLbYQHX+SCx3D7nAH/gDa72\nnUvpoQjs/QR2t9CUN4Q7K3ozOrvU1QfO7XcpC/VTqQBZigcyaE3WwaYg55NLwJfj2GBSMtU5d31+\nWoLb8YcPECoaxe0lu1Jw6KTceoBXKWewwqqTJxJ6/+m+yvezmJMp4Xe8xjts4vTVr3CwroreLUeI\n5/fBH95PTdlp9Pb1pJpPeZilDmW5wz5wf/vb3zz/jjU6FnzgOkrSZ0vHoxEice4ufUEkefnh6P4C\nOr8y9VvrLOrMtEk2HwW9bJsfSco7Y1GHD9yvYwk/FekzseTvS0W08irx2YvfENHKq8TO2B4HrlQm\nqW1sdXXzUzTr2p7+aX7yXBGbe5oQT16gxob0yYhWzXaUJX170vmwmP6Psr3Sr1D3AVpRvVrcKZ4T\nc9feK5rHjRGfTRzqSPelY8QJkfDJkr51Nj840z9Qx82SvijtxUDMmDqQdqi9pM9DN//Gu8TzYpZ4\nVvH5DvGMfTwk07TpqbR0fzNJut+O7EuvcWbWS8cn0z91f7ZVYqu4ScxX6Yf09uhkpui6SzyvfE3N\neyWv5Bj6iXhM3BJ+VARnXixi4xLp3erCtepZvZ1u8sb83e0+6Wun4xvKe93mj60Npu+W/l7ZfhP3\n0uS1WV/zu6zTiurVVtnk1dde9zraeTiosB/TyQ8vyoT/bnJSr+tmsdt1vqoyY43WNgohUvwF3fgg\nv0sfZ+m/O0s8K+6IzRfRyqsSuIZ/OV9sf/mb4ouqOx3ybpXY6mifl97S4SCGY5GOFQWuvQqLnPA2\noemlqKV7nz5gdQf/9lJ7n9GdidMpLvr3dJPYzXHVRlbH5eWzRdOCbyU+5bVwWOxd+6b46eE/iKaq\ne0W08ioFgmmCO7r1hVzUdFBJnefpnFxtAs7WRn18NIX3OngjRMLB13zPErFeBXOkIzeBago8CYgp\ngZRbxo1x5OUUQsuDGdsjtldeJHa9+E3RWPldcV3sjw4lzlww9cVIXrtJPGltgwSozYSsPK2akwje\nMII2OpsykVsmn13rs3ZtQnmbOFGBLOvzTT6vO9yna5t5vw6KK4MOTKX6TvGccli/TjyqxqatXean\nnE8SoFVvu86reWKpqBBzxbNrHxS7xg0WeyYOE83jRovfrPtPh7KrO6xnCrrstem7NZlvU5bpFsDg\npoh4bfb0tppjXi9Ln+u60mfW6e2NKzzlitn2BDhzKvCtfEdXzYNMZLfJT53vuoGjve+QckKOLRlE\nY/abvlm9Uzwnbkvm1XXIXRFJgLZXXiOaqu4VP409LHaKOvEf4ikHkLrO++MKXJKOBQXOS+nyuj8T\nwWNbhL2Ug6OxwGWiRHo962pB0O7Rd6lSmJtI8e1GkBdSSD3qjAZLWi6axyeUjZpwjagL16qk859f\ncE7CmpHcwQkhHBGp6fjnaYELh1U0lxc/bHyR3/WdoM4ryRvbOJK8WyTWWN9lfncjc/ftmIfhsNi3\n7n3Ptm2vuiWBxl91u1gvdqS804ww1L/fLhaKOhG0Km8VYq5r0nadrDyNNaoI3NbKa5RF9nbxtFgv\ndlizWmRKZvtsckstILGo3arg9pvFAieEcIxbWX57yLxfjim5AblNSxLfJBKJvuWYfFf83TVC08si\ntlPUqXEsFUSTV/PFu+L28BNWC5xeb3O+uJHbffK328RTokLMFbPEwhTFx8YnN0UkHZljUn/OtGDr\nG0i3KFS3NprPyb4z5aseDdph8rBmZypzZFv1MSLJS3mzlSOzm0g58dqm90SdCIrrklkadD40icRp\njOSXGYmsK2V6W2VdbxcLxfXiUcdz0hJ3XIFL0rGgwAnRMYtVuufkUZi+kKVT/jrKL1PAtbc98ugt\n3XOmgJTpUtxC9dtTDxN6QKxdK5rHjRE1E0tE07iR4u51t4lfr/0PER5XLvZOPFHsPXmI2LfufdVu\nnd/tUWKlwibWrk1YqKTiqFmp0imFbsJOCrC6WL24O/aU2om7Qr8krYu/Di9IqyBKclOUdF6a6Xts\nUA3mwvQf0UfVztcGoeLGBy+emxa4TBZux3fDAnd7EpJG/mV6/Gy+x+SpOQ/lBmNF1bUi/pcLRWz+\nhUJUzRF1IiiWiPWiqepeISp/oNKyCSGEqJojGipnJn5LpjVrCh8QTSIiqqt+pizHR7sIm8+bx4ry\nHmkRqhBzVb/qZch75Lgw4RukIn+7WCjuEM+oxVRad2U5N4u/iAoxV6wOb1DHebY2yrqlg+Xwgkmq\nE0Fxo/izqBBzxSKxRt0TiQixYvMhsSuSmgYvU8pE0dPbfbtYmDLubGXYIH2k4qMraeamWC9riVjv\nHLMaHFLGlLRK6akE5accC6ZiaWuXvmF36yO3dcmUP/rJ1k5RJ/499KT63SxnZdX1oqnyX5ULihz3\nUsZWiLnidkOpN+slx7CElpKbmy6BETkW6VgIYoD2o8O7OQ7rJJMM646oeii6jTrKL9Ox24wu8yIZ\nOSRRxdO9R1JbdNLIlOdSIieNuqgUTZpzdyg7zj1UtjmyFhSQtWwFeQ2N5I04mdKKWxnXfyL1y15l\ncEOc3cMLKPzxL5iSnYgWG0I/+sdzmOJrS7htOjfb2v77yEuccfWv4PEn2LHsBXylw/DPf4ovsg+T\n19BIy7TTeWDgekYxmN/xuhWOxYykk//3pyesfpC8Zb9lwt//Rk4kSH1xOWclwSodfROJwNVXE3h8\nAYXLPqT3jH8mkJ3nGTgiU4npDrg2oF59XMloUwlCq0MqrGJbIjn36t8xfMMSaoJreL5YcC3n00pc\nRSg+zFvqXt3R2+bYrJMeCJBu/gQJqQAYSEbFFX+PQNkM5ex/LmP5gI/5DlOo5SDfZrJK5p0p2YIi\nzHmYTy6T4kMoW/8qvqZ6WuMRYkci3FZ2iG1iDydXv0V+3Ed9eAdZZZcQEN3YVz2HUPwwh8K7CJRf\nQevgAdyf/Qavxas4s7qKcLyJ3HAjc8rgVJ8dlFv/3y3zy/28QjmDAdjELp5iBVMZyWTKFB9kNHgr\ncVawlcmUqYAVHWz1A3YwiZNUcvJhFDI7GVSzgm0Moz/b+YLruVBFf8osH7Kf1vAJrbSyJ/sQpw88\ni9bsbin9LINDhlPEApY7YCvc+sZtTFVTw2mU8g0mcA8vM765jNtnHWHBojA11T345VkjGJTlDfFi\n47stK4LtHlm/YRSmJIQPxI+kwATpY0sGRchk8lNVaqg2oHcJdizlzjp2sJBVXMHpnMgAWP0gserH\niAU/4f7ihsyis+MtxKofoz7ewKHwbqJl5/OQ7y1K6McjLFVjQdZnFIN5mLcUAK7enzLaU0aF6lBD\nOvzHaIpTAtokjwEVNTyFEfSiO/nk8H7LJoYFiiilUI2BEM3kx330qX6OffF9NIX3ECr7Ovf4FpFD\nFotZzxD6cj7jmMYotTaZmXUaOMR4Ssknh8d4hxlMZCC9eTO+llFfFHY+jMixSMeKApcJmQqIGUZt\nI1sIuNfkSsevEM1WoWArN1O4BSkk00Wquj2biYKoT3oVhRoZRODqH8HjT+BbthxmXMLU7DEKxiI/\nuwfMmEHWtLOgooKWvGwGZxfRfcYViGlT2XT2mZSXnKze37L6PoZWL0rgpBVPZgdfcB+LPdHIA2Rx\n6sbD5D7+F3zZAXo3hHjukn6M3x4lv+EwOSNGk11xHROzR6REn7m11cHzeAusf4xuTXXkxI8QPRLh\nV2XNfOjbxWQTemTjRloff4wvspsoaRDkTTsXBg5U9bRlE+hDD/qQz1mMdtQjG79j4d9X20DLoDZc\nOlMZlNF/UxlJftyHr/oJovEQI8LZTC77GQW+ng5MOh2/TyoRU5Mh/ZnirZnZSExl5SHe4ErOcqD+\ny+g1nc5lLEPox+kMT4GTyJTMMWybh/m+fHzBXXRr3EU3fw6BwVM5Y/8p9OozmNFN3cgLN5JXdBp5\nJeeCz0/3YC2xcB39i84kr+RcFV06w3cGXwSrKQ4LuhdNUvAvXpGlO/hCpQvSF0iZPWENn/Aem1nO\nVrLws4Eazmecg5+/ZwmF9OSbTHBkloBEWrxGwuqZaYxiJIMop5hJnMR0xlLOYMbGBzLJN8Kx+dCz\nfATIIkoLH7GHbnTj3KSSZyrIcpNRxkCOcITB9HFNI5VOdpUzmL+ylgH0Yhlb6bG9lHcX5RHOaiZ+\nsDtnje9OP0MM6zl+ZYYT/d0yClMqLaZyrVLaaVBEEg9QRoCz+sEETEZSHpljS4/Wl2nZ9AhvPTJX\nyh2Ap1nJxUxIzHlNEesRDjGp7P+R78tg/Pv8xIKf0CMcIr/oNHqWTGcUg3mC96hguoJc0vtiBVsY\nzzBHhga9P/VsE1KJ1bNEmM9JHj/CUgUHIqOP5Uaw9dNG/tLvb0qGy76a6CuDYA3h8F76FZ1JYck3\niRPndT5kHEN4iQ84mWKeYZUDK0+WIzcQVXzMBErZQA2nUMooBuPz+cmpjR9X4OB/jwKnC1OpgFSz\nk2mMsu6c9efaoxR58StEMx+uvomB1S/jC37mEAo2ag/cQrpcd+nItf2Rgzy98U+MLRinLGVSEeix\n8WOCj/+BpuwYuQ1B/jLtCKMGTnQKgeweMHAg9dlh9VsgO5fZAz9gXeEXnJ4EYwzFD7Gveg494n58\n4X2Eyr7O475lKseojZqbYft26FPSD7HqXfwN+/CPGMWI6+8m9/J/VoojeXltwjTSSmDjZkIFeY4c\nrpJSeO7zQ/AzaNxFN3+AwNCvcWLJZQqKwUEFBfiXLad7wyECI0Yn3p3tTH5uS922i/2uEBOyX/MO\ndeOJfqtSlFnTihggSwn3E8JhsotOJVByttbP0RT8Pj0PYrqx5mUp1tsnhfs83lVtSzcuOxPCxHUe\nFk8mNOZScobPhFv/RPfHF1CybAu5191LqPyChPKm3du97DL8JWcBbUnRpzISf/FU7ioLMabkn1zz\n3upW5PtYzA85l6x4nLt9L6sFUi7u0xjF2ZRTzmDOYyxfY7TqK0j00RKqWcMOTqaYgRQ4IIyK6cN9\nLGYY/ZnPMoYzgAd5jQLyFTBr/9VPQPU8WoM7CBQn8rrW08ih2gMcGBTjCw7ix0eYKBv4jFyyGUQB\nG6nhE76gmL60xsOJtG8kFv0qtrGAFQykN+czLm0aKZuc+ZjPWc5WTuNEzmQUQ07I54XqOnoe7E9Z\nSYDLL3diccrFW4c5upKzeIL3UhRkPb+naS1yA1B/gFeZGC8mUP0kxFsToNtarmU5tqQcTLQr6gkE\nLce/nBcv80HinRpUR1bReMdc9aIQzdxf3MCkshvUmJUKqf4uSYk5ngBAn5Sss81aqmNJStKtp+Yz\nunIvr61jB5cxKSHXPzvABYPOoJRCtamrYDoBsnigeB+Ty35KQckFAIxkMCeQw7c4neEUMZahquxs\n/GxgZzJVW0LZHk4RO6njAk7hFEp5hKVk42cBK5hYO6jzU2kdi3Ss+MBlQua5v81Hyby/vcEEnvyK\nRUVr5TUi9uK/JPyAYi3ta0Aaaq+/mv6ctZ3hsGiZeblyZE5xmjeu14VrPSPTzHdWbnnbcT1aNVv5\nR5ntMb/rqc5uujkmfnXwGRFat8rTsV/6xsXGjRWbZk5J+MtZyrf9tjO2x+qnktLOpK+UrR7t8Tkz\n27t27VpXHxXbs3p4v15XN3+ijvgYme+0zZ+ORmEfLbnNQ8mb0NqVIjZurIhNPFV8Pm6o8sX0Cmwy\nHbzb46e3XuxI+NxVfjvhbycMB3HNh1MGGVwvHlXvkMELup+Y5Ln8kxHcsg3Sn1BCQUQrrxItL35P\nfFJ5saiLNajx8OcdrygfxOvEo+IG8ZjDL1H+vVP1f8XOyhmiqereFB/OTH0r7xDPWHlsQt1sjdSJ\nf9vyltgfSR1T0hdQ/01+ekUD637CbrLF0QbNX1O/ZkLUXC8eFddZUpt5kewvRVowgtd8Mf2xbeWm\ng7vqyLpmIxvfTL9xtxSA+ndbME8m73Mrb5XY6rkO+zJSkY/TV45064KeOD2fXG7kYnUMot8vf+8U\n8gc4UjSGz/1NtBSNBr89TUpHST/K8iJp+pfpY9zaGd5czf6P1yesSB9/DFu2OAvKy6Nl/jz8T/wZ\n5s+nMG+AKiefHOu7Zd0aOMQbZTuop1H9Fpj8C7jkYZj8s5T2PMCrhGhW3zfvjLJrV2JnvneXn4u+\nuIzup06BvFSrmqLNm+Hjj/FnBxj5cRP5W3amlK/XU/5WQz33+F+lxh90/G7yUfKEU0/1rodB+lGQ\n1/X+8dyUerrdfyMXk+93gggX0os7mGkF8n2EpWnLdSPJE1s9ruMCx7jS2+jW3q4kyRsxupxtI3oQ\na22mdkQ/4uUjqGC6Kx/kc7pvXqZ+evU08uf4W3xRt4xIvIlQ3Rq2xHcyh9fYwh7lOxn/4Q/wX/0D\ngpH9RGhBAH/mPUI0U04xP+cizmAE9/MK9TQ6eC5Tq93IxRTSixDNjGMofZP+WfX+CO8XZSP8WQwo\nOptCfz81Hk4+OIBrmc61TOdOvsMNXAjAtUznCiZxBZO4NH4yp9eF6RZvoaFuBf8Tr1R8GkiBYx64\nzaUGDtHAIR5iSQqPZVYVya+cXLh71Jnk5LbJDFm+QNBdky+6HDfHuD728slBIBy/y6NUkx7gVUKT\nf+yQR5Lnzf6YenYBy/kll3In/+RpgTNpI5+p/g/RDP6Ag1c6f2S7pb9sFdtUG2qod9xnyvIQzVSx\njRrq1emJm7xPGffxFtdrZj11P8wrmMQURqb0m6yzvD+f3DYZGm8A2qyrerv0+02+yPK2sEddt4En\nO8hVtftfSP+bLHA6tXf3killhD9lWEY6kzJtQ0a7xaSFzYRP8HqX2w5PYiHNEs+qSKXKLW+n3Ou2\nc05ngZMbdc92u8BBuD3nsMC5wG5kioHlxivdYqlHlpo8+bzy360RZ5lQpla7TMkLz8v8zQ1jyssa\n2BnktvN38D98QITWrRI14ZqU+zqTmkQCRiJaNVvUVX5bWXSU1WntWhEbN1bsnXiiiI0bK/ate99q\nrZIWTRPHTa+3Dm+zU9QpaCFZh7pYfcp8kgnHdUuejOZz4IBVzRGRyitFU9W9jghXN4uYyQMZCaxb\nku8RLzruS0BOPBdvROEAACAASURBVKKsODZQazPCU9Zbj8xtEhHxoFhsnYfynQvFMgdUi3mf+b+0\nbppQUe0lyQe3aHtTvujzRLfA6diBeiSphABqEhFxi1igLKiyj+aLd9PKp2jVbBGpvFJFWZuYh/p4\n0SOlN4vd4noNguq1Te9ZwZMd/adhgdbF6lOimxXvNcxN2d4tsU8T70xiXUo4kuNRqEn63+AD5xah\npDsby1ymJfTrcFJrcOeXI92Mz26dam8bAmQ5diGQud9cRlbF7GyaZ1xAbNpksiuuS7Eqme/SU8SY\nzvCmM+woBvNs3hq+FjhZ3St3Y6MpVr400l9R988KkEVWFpx1FowcH6Xm8leYkjvM1Q9Q8S47G2bM\nIDztNLIrriOU183VtwOc0ajZ+NX/n3PAEUygkxnwoZdv9ov+m+57ov9eTyO/iT/LeRs+oNF3iB7h\nEJGy83jAt8TV18h01k7nG+lmhbCR7rhti+4z0yrpkXiPsJRrOZ/B9LX62nQmmblQH2EpoxjsiKJr\nze7G7IEfsCF7r4rG7Uw/PEnSz+1I8ekUlM2EkmmEaGY+yxJ1KehPfNl7NDd8Tt6IMfSo+AmB7DxO\nZ7gjOrzNX26kw+dIXpPWi1MZxhD68hxVAOp+EDznW8PrVFPNTk5nOK3E+FOv93gr+yOq+ZQqPmYz\nezifsUznFIZTRJBQIpireDLRsuncX3KAD9ihopnjxJnGKFUPGw+lf9WJFDKIAh7gVZazmc/YzyY+\nYwSDNKf54QylH0+xguu4gPMZRyG91HgxIzzv5xWWsYklbOA9NjGGIfyKF6jlEO+wkXMYo+r0Pyxi\nJ/t4mw/ZTj1hWihnsEp5p+eUlfXWAx5aiXOo9gCDBg1yzBsZIaknsDdlM5CwavkSQSpXcIY1QETn\nnzlP9KC6bPys51O2Ucs5jGY8pTzG27zKejbwGQPpzT8xhT7kU0+QCxnPs6xgBR+zjM0MpT/7OKTy\njyqexg9RX/0AofhhcsONiLJvssr3CVMZSZAQs3iWZWxhPKX8gddZwoeMZQhhoszhVQrI50LGM4UR\nRHY1cumgM9Ej5h1tjrdA9WN8EW8g74ut7KtZTGEwyOfFZfyGl9W8PHv1m3SvfpqpwWwOF59CIb2Y\nuHoxsepHGbZ5Oed8UkNpMMzE4u9xBEGk9tDxIAY49hW4dDkGpQBYxTZK6d8WRh73WSNFvd4ToC15\nr9si+jkHHBGGHWmD/L+Efg7YDluU49FQiGbuy15C1cDDnJY90lUw6++1QQbI6zJCKUAWDRziXf9m\npvnawsT1KEmbYmNSVhYM7JfFpKxh6p2mMEzhXXY8ASmSPdSxmNvargcSSGfxQno6ImNt/TyOoZxN\nuWc0nhTuJvSCqVDmk8upvuG0frqFQp9Qjs5uSrotmMBLoc800lmSV3+4zTX5OZETU5yju4r0SMF7\nqFSKo84LGQHajW5Mwz6+O4uUUu8rU/3Sn570ojuB7Dz8My7FN+1McituUBslsz5SYXCrp4wMBZjD\na/yIr3MRE8gnl2o+5c+8z0wmczlnqOjSICHe8v2dn/i+ycWcyjRG0oNcFrJKKW86zM3nvkamM1ZB\nD53GifSnJ0+xwgrPo1M9jSoI5GzKOY9xbOIzfsh5KZuCp1nJ9zmHMgZ6zo8AWcngh3KmMpKvMYbB\n9OVsRrOHBm7mcsc4O5Ny1rGdg0QYwyAOEFI8MuVqNTsZwxAlJ2Rw1on7e5Nf1Ev9LiMk4QjPsZp+\n9CCHbEebQjQTWP0QserHyA3uZVLxv6r6m0F0puKny3b9WoAszqBMRdW3EGMJG/gp32QUg5iSHNOl\nFHIGZeSTyymUEuQwlzKJObzmyNmsGxi6B/eSHz5MbtFpBErOdkS0VrOT7gS4gFMooR9r+IQzGcWT\nvE8u2fwkmVs6SIhDtQfoNaiPNYIVAJ8ff3AXeaGDBFqj9MjqTVb4IA+V+Tjsa+F0hjMvvoSp1Sto\niO8nN9zIHWWHKRcDiFU/gj/WSq/GBhpyBN3C+9hfdhb3+BYfD2KQdKwdoXqZw93M3fpxRJ0IqqMC\n3Xk13TulaVeCYtqAE6XJ+z/EUyl1yQTZ3va/aWbu7CMgaa72up5pyiqdL9K8rlOmx5GSMnUibwof\naAP5FenHg+29+lGBfmRgOypO1w+2TBe240a9DmvXrnUcvafrE+v7k47yKUfhnXik3xVHkB2hdLlQ\nhWjjk+5M3pX1N4/kMwEq1Z/NNOOBLN8kPSNHnQiqduupoeQxrTzebRIR8TMxzyG/zEAOPX9xuna7\njVsbkLh+bGfKkaM5el8k1qiADxtwryzflBPyd5mXWK+DLEcecZrHub+JPSOilVeJvS9eLForrxF1\nsQbr3NePivU6ybrqx5GZBIp5jZfNYrd1LVIUi7qup3q9dVmlH2XfIB4TlVvetrYn5XssmgLy7XCn\nSYIWS/DtJhERy6p+LLZXXiQOvThTbK+8SCyp+oHYLHanDWI4rsB9RclLyGWiaAghhIhFRaTySlHz\n4oUJJS7DSFF9oRXCfSHfLHaLW41J01n+QJ3hT2Tzrclk4UhXpvm9SUTEiurV6nc3Hri937aYmLRT\n1HlGnqZrgy7EveqnKCnwMlGIbL5++uIrF0XZdj2BdrrxYuWZ4f9XF65N/G6JtEtHnaXkdKWypOck\n/k+Ln5PkkfT30n3HOlyvw7WO8nVSfaVFG3pFFdv62KZQ6NfS5V6WPkI7RZ34cdIvarPYrcaWVCDu\nEs8rBU7m9V0i1ouFYlmKoqZvbGxtz2RDYyOpSJrvahIRcZt4OiW3aKa0SKwRFWKuWCiWWTdLts23\n7pe6UySS2XtlvXHtOy1zgm2DbypEJj/0uswSz3qmtMtkPOjlul2zZQcyFTWzfrqv4tq1a103Imb5\nm8VuV9nZJCIpKABNIqLQAXbG9jg2YscVuCQdSwqcEOkHpE2Qpwjudlrg9Pemc3B1SxCczjHc7bv+\nm5fymgm5TXp9cjp+M/LwZfIeffLd2jQ/o925W7nplLcKMVfsXfumSkQeGzc2AfFhKd8r6MIUVrZ6\nRqtmi9bKa8Se5A7bkZLJg/ZHImLzZiEMtASrBa5OtCU4b6/FVqypUnxoGTdG/Gbd7aIuVq9yk2YK\na+M2zkzhnq5etgW6M0nOQy9FX9ZVt4J1uD6PTRNH5k4U4rFpKTyqE0Hxb9E/qnRdulzx6kddwdPL\nktYfmyO/m5yQaYakYqZb4OSpgVx8ZfDCu+LvoklExBKxXswVb4gKMVf8VMxLSdHktuGzKUPtIdtY\nkgEA7cnRafJioVhmTdiuK7G24CJpAXtt03uu48QmKx2kKyGWPKbtkdWZyICjnV/6+JJ9ead4Ttwu\nForrkrlN5Vi0yUdHmrakcmYqo0K0rYs2i6CX0mda7fT3utFxGJGvMKXzq7GFPgPOsOrJPyP3knkq\nfDwd6SHVMsTcrS4SDqCcYsfvNmgHEzrD/G62u4LpVqf6TKAnZBk3cQm/YEaKD4YOmSEBiVte+T8J\ntPIM3+NsR5SLtzsDHXQepKtviGYHjIN5fymF3MplDBp9JowYAa2t+EeMhPJyR3i8bJ8ZVl9IL2Yx\nk19yqfJ9gVQIFoBQ/BB1dcvpFmtmYPAQ3eJR6uqWE4of9mzDgeZmrpnVwJ13H2HWrAQwsWyLdKp2\n1jOHbnRT9ZMkQ+7l+Eih1Q/Cnofh4r7Q2kr2iHJ+VH49hf7+UHRKAs5GfqYh2ziT/VpPI/fzCvex\n2DHHzPvkb7ItXUlyHNggP/LJJT/u4xYuc0BRtJuavkDEE20S8Wbym5oc46nwpZ8w+y9Pkb9pcQIY\ntu5DiLdSQ30qDE2SZJDDfSxW8BX1NKqggXxy1Dt0SBE9oEj2Q4hmKvmAvvRQ6bfCRB0ySIfgkLxa\nyCrupZIS+rOOGsYwiAJ6cC3n08AhNW9CRB3ltEEJ5SpYEzf6I697staUKfnkKGgU2U6TbzZe6uV8\nl7O4g5nkk8OzrMJPN/pyAjdyMQALWK7GuA5LUkohv2AGy4fustZVf08+OdY5IOFC8lfPhVeudcjP\nRPtyHfPZjfLJpTBuhyrSy9LHg628dFA+0v9O78tfMINbuIw7+Q7XcyGF9HJA8OzgC/7CewA0+xO+\nn6HVv+XAK1fRsvo+x3oix45cF3+WBs7LIX/iLbTUrYN4Ky1167gvtIj1W6JKjrrR8SCGY5TckNKl\nY7Aj0tPnT4n8NMl03geYd8JyJge8HaJti7NXXd2+m3WxOeVnGpWq32+ruyNKMn6EouoX2Bc/QF74\nML6yiwn4ctK+R9ZFKkQjGvowrKgk5T4zgMCWwcAtZZFe9xZiKp0X06Yl0nl9+BCi+vGUTBh6ZKne\nZhOd3ObEH/DlkBfcS3YkSLecnvj8gbaUTLhnuajZnsXKRSeQlQXBg90YPx7y+rWh65drUZP7ahsY\nOqiEcgY7IhP1nJSP8rbjuVEMTgTjVM+DIzEYXABX/Rf8+Nq27BTFk6Hsm1AyzbXfzL4xx5nsV+nU\nrqfouo/FjghPM/VXVwUy6HLLNTXX6gdpqZ6LP/gZ/uKpGZedEhEeyCKw4WkQMbr5c2Hy/2u73tIE\nax6iWzeR6IP8QigaS6jkNEdUrkmSPzJYQPK3nMGsY6eDxxLdXh8XrcSoYrtK37SaT/ge01jAcvob\ngTi1tbVkDcpXeYfDRPmYvfxfpnMxp9JImNVs5wgCPz5OpEg9D3A3LzCQ3gykAHDOJVsghvztj7zO\nh+xmN/VMoiyFB63EUqLZW4mxmu2O7Arp5IAun2XQkByDkziJCQxjMH0TkcnJd+q81DNiZOOn5+YY\nAwYMSA1Aih9JpIgCFRhn5g8FkpGX81SWh1DZ11VUuQyIGE6RSr1mXUtc0nzZeCDnoRlk4hZRbvaX\nHj0q+SnLkG2TY3Qjn/Fn3mcX+6llPyV7ezCjaBL51QvoEfeTHT4IZReR7+ueIke7E+B3vK541p+e\naq2U/dtKjN+zhKH0o8UnWBNcyqBwnNV9e/D8o//CqkUnsLHaz5gx7nrLcQXuGCY56WQ0T3uUAi94\nBvmXu7mZkwaUdkpdbdFX5nf9NzcFqvOiUhOCLORrJS/4OXnhwxwpGqNSDdkiT211kUpQdI891Dud\nwuqliEtyCKdkOq+QL0JD9Rwi8SaleOLzKyXIlnPVhMXQ6wBt8AG7i4fTu2wmjJkJZd9UPKmnkd+z\nxBqdd8IJsK76CNsPHmZkSTZXXO6je1Zb3kQ9cqu2tpZeg/qkLAa949mM9ZVSxkDHczJH4URfGYHg\nnkQ6oAHj4fRvJyJx9bHdjmhrt3Gm80h+15UIk4ftgS7pCKWF84m30FI9l9p4A6HwnkQCe19OSsJs\n2/NWOXHqrwiMvAIm/1S9I0QzAX932PkuNDdCn5NgwCnQ8BGB4B4mFn9PLWCOZyy81KOS9YhAXXnW\nSVeQAyTyjT7J+1zL+fSnJ6cyTFnatu7fyR+L3mMZW1nLDt5hE9/mDCYkN1CD6EMxBYyhmEs5jUH0\nYSxDVILyAvJ5jHcZyxBqOeiav1jlwUzybhJl7Kae6/mmK5+naGNHtku23xyLQULW6G9p8dcTyutj\nVEIWyXy1+jt1OQIJi+Cghu48U7ROldVKjMDqh6B6HoHgHgLFZ6Yo3446+fwJxSvcAEWnqKhySFjW\nxzKEXnS3tgVIUQD1NF9u8tKWA1rKYZX71aB6GmkkzHmMVVYzWZ7tXQGy6EMP1vAJIxnAR+zlxP29\nKR4wBII7E8pb0SlQ0rZZ0pVgKS/OYTSD6cMcXnNE+8sI/yq28Q6bOIfRFBVfyMGys7kvEqBl0XgO\nZh0icjCbs6fWH49CFeLY84HzIt1JNK1DukgfBWb7/o/kV1eBosqyUyInY40ZpSCz+Uc1ibaUNDo4\nZWfX2STpq2b6N7r5SOlRs6YPhvSvkuljbM7cd4nnFZiqjTZEdouVWw6JSMQ5nkwfH90pX5HmFJ1y\nzfy/A/6KbtSecdZef83OIpsvaopPVtUcEa28SqW28gyM0SJ43fisO7un+KhFGxJ9UPmDlFR66hkN\nqNQs3+Y3ZLvuRnIs2oIKpH+l9LmT/nJ6aq7bxNNW311ZdxncIL/b3p8uVZlJ94u/qu+ms7wpe72C\njCT4sR69aT5vpoDSyVwHpF+X/PtN7JmETGmHL6kQIiV9ls3vzpUyCD7K1CfZNubqRFBcmwRUluDA\n1yd93kw5br5LH6syYvcu8Xwi4EC7R/7utqba5GkkIsS6zc1iV8TJmw2R3eLmm4W4/LtRcf7N3kC+\nxxW4Y5RMQZjuXptje7p7/1H8clNKO5O8IidNsi2aMkBCLiJvb1zhKTi9yG3R8lKCFFmch9MtLDah\nJUSbkEkHVWEj6bh7m3jasbDaAl1SxlUyr+7eFy8Wn1VeqmAJOtL/7VGkOitiuiuVNyGcCq8Jz+JQ\nrGKNjihVV+XNJYOHJJ0vtsVNvjNaNVvsqrxURKtmO94lNxZm8EtT+IB4eO1/i1+HF6i8m3IRlWVn\nEm2o18fsOzNSUAihFDL5N08sFRVirpgnljqc1c3x7VUHL1lhytoHxWJRIeaKB8XilM2j7jSvb8q9\nIErkJsoMThKiTXFfItan9KGt/rbISqlQBat+7dler/VEbgpt16xkkWN6WZluktzukUq9/r++idX7\nwc24IZVdN3iUTNYPSXr2nZtvFkqJk+/fH4mILVuEeDPy0XEFTtKxrsDpQqi9u/50FjjzPUL8Y/il\nCzG9Lvr3THbp6ehoosnMOtSJoIpC7Yjy5rZ781KC3MhNKcnEAmsTNPp1B1lw2GQaHPN+NwucgwwL\nXEcgG9JZRmzU1UpiZ1BGFjiRGRyNWLtWRfCKceOskcxCpMfmU99jjc73asp4a+U1bRacpOLYPG6M\naJl5uRDhsKsFTv3ukhTdSw6+vXGFY/zXiaCYJZ5VFjs5z+aJpeLfxQIVBWoqQrZ3pSM3pXK+eFdU\niLlivnjXcV2/3ws7zXyHmQrKfK+uOLnNdfmbyS9JO2N7PCFp9N9sMiejsdgOytRYcTRl2+Sfm0HD\neuLlEolrsxZv3pxQ3q68Uohvf7dVfH/LSw6lXj47Szx7XIGTdCwrcOZC35GFLdPdpaR/FL9su319\nwcp0l+5G7bG8ZCq4n9v2ZofqIp9PpzS1B2rAprzJXb+tbH1sue1AHb+55JXV4Qu86mvd9QthPxp1\nAez1antXHml2ZPN0tOQ2D211SLtgZmCBS0e2eeN4rwZUqmjtWtEy7mTx2cShomXcGKU42hSmO8Qz\nYmXVdaoMh6tDckGUcCnm8zIXqizrTvGcsgrr0DXyaHWhWKba1CQi4gWxylEX6TbghZUm79WhKUxr\nT4WY6+DbErE+5Xkv/rrdqz/jJtO8ZIvNYinJTV541Vn/LRPlzdb/tk9ZXiZy220zar4rpRyLAqbD\n3+i4qOa7VlZdb3VnkWNQ3ief3RUJiptvFuKK77YoC5x5z03iSXGdeOS4AifpWFbghDg6y1NHnvuy\n+ZVOSNisXx2lTJW3TIB/bxNPi4ojmVnIvMpx+83Lmub2rEnmcZvtXZla4EJrV4racUNFbOKpyooj\nd9zrxQ5lMVQJzg3Sd/0mjx3v7qCy0VXKlY7o35XvMamj89C1fuFwQoHqoPKW0ebHXAyTfdkybozq\nS7eN5a9iCxPYlS9eKaKVV4mfxB5OyZhwnXjEOg9MPEa56OvWDfneF8QqNU7rRFD9L5U43fqWiQVI\n3neLWJACzmsqb/KYszPJ69jVrb6dKeNNq1x77pf11I8xTcXdzSdRPivLNDejNjmTMo6TPqS6AmZa\nEaWyq4P7/pd4QTTFGkVr5TXKH7Qu1pDSThGLCul7t1nsFjeIx8TqyKfiyi3Pi62RNiunHK83iSdF\nRRKg+rgCl6RjXYH7sqkr+WXbeX3Zlo1MKFPl6CfRx45KuXazepm7TlPw2BQgq3VL+247nrbVyfUe\nDwvcPeGnRGjtSlEd3uTan24WuBQ+ZHjc1xmUru+kf6NM4fRljteOzMPOrJ+5GG+NbutYuRbF0c2a\nJC0a0arZKUebciG0WX3e3rjCWp4+L+T/cqPxdPR1Nad05c3MJCDnntvGRAjh2MjopFv2hEi1wHWU\n0m1m3RRu2b4V1atd/c/0NqTrb30Ot8eH2Zz7eh/Zski4BSmYMtFUCm0bVFV2LCqilVeJz178RkKJ\n0wI39P7XLXB6fZtEmz9osOrXKXWJVs0W0cqr1FjW/Rhtqe/ks7eIv4g6ETyuwEk61hW4zlosMi2n\nq/jltrhkKiS6ijpSfp0IJnZLR5w76vZaCTOxwNn+N/8SaWns1i0h2haYhWKZZ7YLN4de9d7wASHW\nrRNN4QPqek24RrTMvFw0jxsjgjMvFk3hA1YrhJ52zJMPnXDclwmlU3bk9VVia4rgFkKI34qXu6Re\nkvR5mOJjaaTk0amzlDd9QYq++D0RnneG2PXiRR2eL5k8VyeCnm2zbWBsFjh5j3S70JWL+eJd8emL\nF4rwvDPEwRevcJQrhP3ITmZ20I/WTDKvmZY9nTJR5GwWQPmbzX/WfNbLAvd55b9bI0D1bBeZzg99\nY+N1fOp2zW09sG1CTcrYZ9OtLUkLnBkFr99nrofmRk5mZ9D76FexhaKmcoaoSSqHTbFD1me92ue1\nDh/HgTtGyA3YsSvL6Sp+pcPfslFntb8zy5fAoz/lInZ9sYfvnzBd/W4Dm/Qi2z06UGcN9fyJN5nE\nSRTQgxDNCmDzFEr5PUuYygimMZKpjEyAFFv43Jt8WmjhbTYxnZMpTwKYmnXRAS3NTAX3sZiq7J2U\nDzyN32cvZRXbKKIXz2ycy6TH36chO0xLQy17p5XzwMD1nMZJCvB4NMU8c8IaJgdGpuAY6nhqW9hD\n9+x8AjMuZ++0cnpW/Azy8vgjr1uBUo+G0gFEy+snMoAAWQqXbgojeJBX+IR6trKbaYzq1HpJ2lm/\nm5IBxVSxjT/zPv3owRD6KQDUluB2/ru4ltMZnhZjUad04N7gBL2mpYkja/4ACPKaIzSN+RYh/xHy\nyWULe6yg3ov5gJEMBhJYXHfxPBuoUYDINqqnsQ33zwLGHaJZYcXpALkBsui2rYmCor5qPMnnT+NE\nTqGUwfRVOGjPt7zNt9aswScEOdEwH42ZwgP+NxUYbG/yHQCt9TTyJ96igvMooZ+rvMjG77g2miG0\n0MK3meK47w2qeYkPCOBjOANd+0jKkqH04x4qGU2xGn+nUMppSZmQyCzTBtQrserOpjwV3J0EWO+R\n9fPI9XdTILwBXw4APcljDZ9wBWeQT25G80PHszMz0ci5/mMeYQVbrdh6KWDCFgxTtzFj4mbK/g8S\nUmNFyhe9LYonxZNpLjuP+0sOMEoDD9ex/sz10AT0bvUJJa/l9VG+IfQONhAO7+WEotPJKzmXEM3s\nYh+D6JNSF9uY8lqHjytwX1GSg1CS1yKTiSDOpByTupJf7VXC2lPvjtanveXLZ2qo560eWyjuVsBA\nClzBJttD+mQOEuI3vEwu2ZzJKMeiNJVEpoxVbFOI9ua4keVJATmU/vQhn+mcYgVd1Z8z+0lvm56t\nYBB9KCwoIbjsDYobjpA1opyhV93IGZtj9C8ogewspjKS3uQr9PcHeJUSY1GSIKRzeI31fMrA7P7c\nO3ANY7NP5GmWOdDuO1OZSzce9ev55DIqmUViGqPYym5+yWWdUg+TQjSrjCgnMoB+9GAKIx0AqPFw\nPYvLipjsG5XxeGvPhkWV6Q/g3/k+ojlIt97DaD75cu7mBQrI52GWMpwihxK3mA94hWrgCCMZrIB7\nv8YYBabqloXl25xBL7o7UOv1Bb2EfkpRkmC1IZqZ12M5SwMfOcZTgERWAh1pP59cRvlL6fn3v5LV\n2kwskM9/ndqTCs5Tc1iSLDsx3k8iCz+F9FKZWGwb0VFGlpHRlo3SQApYxTa+z9cIkGUFXtbnWyG9\nOI2TGExfBZb7e5bwATsopT+/4WXeYzOTkgqqntXCCubua6U6+C6DoxArGsPskv1qw7mJXeykQQFX\nt2d+mCDos1lEFR+zkJXq96s4O6XfvTJPZDquJVhxIgPCEpawwQFc7KUwyQw8erYQ/X639bCVmGuW\nnYd4gynFVyHKvkHPkvOTKfoW8w6bGE4Rg+ijxncDhzivZRj5/rY59GMeYWLtoONAvkIcO0eo7Y2S\nbI+vS3uOPdyOur5qfmpdRe054pVRqJ3JG9PvJxOfNbdrJm6dbsLvzMhNebQq9u9Xx58tMy8X94Sf\nUu+R48rtiFiINuwuIZxHLg+J19RnhZir/u9wfTt4DGj61RxtmV7keuSsAaB2BF6hI/Wsjm0VN0Yf\ncvgqCeEeJb1IrLEeEUlHbttxmjy6vEM8o/yFpFO6ft02J8woVL2O5nz6VWyh+KTyIvHZCxeIHS99\nQ1TFPhKrxFbP+SH95naKOk8Qda/xYd4r29QR2A3zeNXN/9X8Xz4nfeD0CF0zCOloxrM85q0TQbFQ\nLHNE/tru7QzS+9uLH/q9mZBNf0jX16a/nDxevi2J1yj5c5t4Wnz64oWied4UIV68SgghjgcxmHSs\nKHBCtG9gtUd5aw8gops/SVc7b38VFERzYqZrtwR5tEVUflmLa7ryvHxKOut9qhwjACG0rs05PBNY\nDLf66tQZyltHsObkguTmw9LZ88NTbnkAoHY2Bat+LbZXXiTeqPqBVWmxkZt/lAwGcPOxlPxtEgm/\nTlOxcssIYgYx1ImgI2JVXzQXiTViSdUPRPSxyaL1kUmi6cXvpABx62NQboTk5sKECzHb0N6xoAcX\nZaL8dZRk3e8Sz4sV1asdCoYkqZB7taEjRgM35U3Rlzie3drmBp+SqdySn3r55ibCfKYuukeE500W\nzfPOEM3zpgoRDYnfipfTKnC+jOySx+lLJ92HIB1lal7OJ5cbuTij+/PJ5eLtqUeA7SmjIyTN2iGa\n1f/6Ndv9buV0mCIR8tdt4sbI14GE6R1I226dN7IdNdRzNy+o3HuZkMmDzqBd7FN1N3MImr/ZqLkZ\ntmxJfLqRsWzUEwAAIABJREFU9MsL0QyjR8OIEdDaCiNG0L18vOd79DbLcu5jMfU08gCvWvlnyzvZ\nHjL7K4XiLdbnutGNfHKsc6Gr50dKvfyBjB+z8dBtXMrft7An8T3eQlPdGrLjccbWBSmMdwdQ/eU2\nXnV+yO+lFHIHM5nAiSm8kmVJ/gLEiPNn3ufbSX+sfHK5mW+l8LieRl4YvVnVFyBMlDiCMFFV9i72\nESfO62zg/VOnEkcQ9/vwB3cTaGkhl2ytPlHHp0CQR4Ln3ehm9fuT7W7vWCilUI393/JX7ueVdskN\nk/T+0MvJJ5fruICbuITceJaqp77mlFOsvtvmiDlfdXldQ72jHvK4PEQz3+Usax3raUz4dL5ybeLz\nSyBb/2xhD/dQSQ31yv8wnRw2j2RrqHesGQCPsNSaM1n+lh/oy/7efQEfOb1P4neBd/iEeobRz/Pd\nxxW4/59RZyws+oDtbJKTSpavCwlzkXBbOI5KAYpE4Oqrif/wB+RfXUF+RDgWoEzqL0lfrPRE324k\nr9kUi3Rt8bq+hT3M4TW2sCdt/W3U3AyzZsHddyc+TSVOXxwEIrHY5eXB/PnwxBOJz7w8z3eYC/1N\nXMIvmEEhvahguhKAnU26su0o31hM9Gs3cYk2B6LWMjuDrBuW1b+1LnK2OaCT9A3S+8r2m/57FduY\nw2vcyfO85/+Yj4r6kOXPZWDROeDPpppP1UIllStbG+yLVsJZ3rZBvJKzHBuLW7mcW7nMoVTY3lVI\nL2ZuHk3h6j8rHvWnJ73oTn96qrIf4g0u53S60Y2KwKWECgZwBKjt3YvBgUHM413qaVR82MIe7uYF\nQkT5PuckF/WoYxzYyNZ2L9rCHjX2b+AbXMv5aty7KXJu/R6imd/yV/Ws3s8hmnmEpQB0O9JKDfXW\nTYycF2Z54JTT+mbrHl5WCpCkGuq5ixeYzaIUpVIqPL+JP0tL3bpEUvu6DxOfXwKZm4cX+Rs/5yJK\nKQQSSnp7yqpgOvNZRgXTlSyTv5uKXj2NSkHMJ5eCK14g58o34Yr5/JRLGMkAYgjPdx5X4L6i1BWL\nVXvf/2rZx54Wrs62EulkWr3aY+04KivI5s3EP95GXXaI+MfbYMuWdpWjK5u2a248M6/pioUUdG7P\npeuLcor5ORc5FsD2KHM7d8KuXZCVlfisqWl7t744yJ39IywlFDkImzdDebmn8qbX2exb+X8hvbrU\nqpUyXuItahGJ1W0gFD+s+uF+XlH1dlOAOoMc1swk1ccb+KJuGdF42LHI6eNE/m9aDgrp5dhIuP2W\n4EcON3AhUxjJz7mIO/kOoxlC4eT/ZPAlz1Ez+XtsYQ8Ps5SLmUADh5jDaymWF7MNsl6zWeRq2aih\nXikDbfXJVQuqbu0x/w/RTO9mfxtv6j5kV7yWRsLsYh+A2lCNYBD96UmEFm674iLuvbKC/77iCnax\nT20cJH/KKVZ80jdkbgqr3iemhcqNzE3WIywlnxyu5CxkBLdUKvV2m/xte2eU/TTRwCHVDl1prmA6\n+avnUvrJfWxb/e9U82nKeHNuJKPs47Bjw2JutvLJIZsshwIUopkFLOeXzOCXXOpQYh5hKRVMp5RC\n/sP/z7QWnQz+bEJFo8DfZgXV+dqVJNsr5aRsm5sl3l5GDgKheA2Juv+JNy0b9ByHgphPLgTaImb/\njUuVkuxGxxW4ryDZhPeXTW5HqPr1rlpUTWuM/rvJE6/6dYhGj8Y/YiRFrfn4R4xMKCAZkq64yfqb\nCo4bz7wUVDcFxvY+W50AdewDUM2n7bLIDRsGJSUQiyU+S0udR126ElBIL26MfJ38qyvghz+Eq69O\nWDU9+JXJOO/SI0mzfH8Aik4h5s9iTVF38GcrgSstjLa2dzYJY/ed7z+Bz4uK+cIfpqVotFrk5IKs\nWyltlgNbPc3f6mnkt/yV37OEehrVYnYnzzGYvtT4g9xDJQA/5yImcCL96UkRPa3HiWYbfpFcyBML\nfuqx3AKWKwXKJKkAStmo/y83OZHsbm0KQNEp9PX34edcRAn9tAU0hwYOkUsWy9nMREqJBRL9Hwfe\n4e9Usc2hRJqKryTdtUAfz3LuhogqC5XXONfnp/7sfSwG4A5mAnA3L6gjuhBRB391GVJIL27gQhaw\nXFk8db7Niy8hVreBnPgRzqxr4dX4B8SJq7Jk29ssoTlJK6ZTMXHek8svmJFiKZUnEW6yTdItk/uy\n9ZLbuWVyXwfvzQ1KV5IpZ7JX/4EDr1xFy+r7Mn5ejm2dzPmoK79ucj0jC26mDn//G+hYCWKQTqb/\naGd+tyTaXwa5OYZ+Kej3HUg1JHl1tJFO7aV00acy/YyZmNoLTd5GkYgQW7YkPvXybf0UWrvSM4NC\nR8ZVV/LQjZpija6RfF/GPJDv0Pm1U9SJn8XmWvlh64v2vu+/xAsKrFaOET0QQF77pfiLgxdeYLHy\nUw/+kL+ZILRmvW3O300iIn4iHk15d5PQkrPH6h2ZE/Qo7P8UT6sIv3R/esYHPaNDnQiK/ZGIymd5\n080xsT8SSQlEkEEbmfSHnkvYbL8XP9z4biZG19eUJhERomqOOLTgn4SomuPgo1umC7dgnfYGOriN\nXck72/XOjJTPmGJRISp/oFJkrVvjDkCejtLJaZ3M6OrjQQzHGLlp8UdDR2PNy+QorzPJzfftS3EQ\nh8SR36mnWo/+MnVo1amrLDRu79OvySOBW7lM7YJv5GImJHGkMqXcXBg1KvGpk9lP9TTyu9E1tI44\nSQUwhMqHWcvUATe9xlVXHlW6UYhmHvC/lVIP3drQlWTDSAPUcZNtTJkWjvaSHBtf42SuZboaI2Gi\nyoLwNU7me0xlFjOVhfk+FjMn2X+mVVevh0DwR95wWKNSrIzaEZsE/tWPVRM+cQuIcoSf8CiAw/LY\nqyWXO5hJ2C+UFeox3uE7TFbHfD/iPG5N4vZNpJThFNKfHgyjH2dwEudSzjWcw61cxiy+QyG9kn5c\nz3MPLzOL57iL57l75zK272qhISvI2l2N3FXzHrNZ7HBir2A6C1ieEf/LKeZGLqaBQxo/chxHpKnH\n3d4nJPJ+c03JJxcm/4ztI26EyT9L4aMkN2uQeUpiC0axzWtbUJc8cXqS961thK53o7CSP0BL0Wj8\n/hwoOgXhy/KU/17X3Opt8kjyR46BdOvNcSDfryh1ZrYBOUjam8VA8ssLmb8ryIbsLd9ponXrFCJz\nQOOOkBcfv6pjS9ZTBwjtLB7Z+qmAHkzILiN3xhUwbRqhiqt5IO8dB89qa2vJGpTP3bygUOS9xlU+\nuQ5E/C+DzHEnlUiJ0t+VZL7LHFue74+3gM/f4XfLPhpIAdDmq3QdFzCYvkBCiZTgtg/xBuczliq2\nc0LkCG9tfJrCghL6ZfdNKXcSJ6lMIXLMTLLwU59nm9nDVEbyAZ+wlk+ZxEl8i9N5g3UMoC9TGMEU\nRgCJzcSQ+h4wIIf7WMxYhjCIAlawje3UMp5SHuQ13mQjf2MbcQR1BNlPiG50YzylLGMr9TRyKZN4\nlLf5GmNoJaZ4cCHjmcAwpjGSCScMYFd1T5oPZjO8JIs7Ly/l7KyRDI6fwERfmVJuJnIiH/O54qkX\nfc4B7qGSsQwhG7/KtpIApk0AEbuBxpqyUf9fKmCmjNxy4DPyi3o55mA+CcBlt2wu5lgxv8v+k32j\nK+UP85ZjLMlnJSC419ju7DUxk0wl9xc3MLHsBgIl57CzfjcLB6yzyn+phJqZd9w2YvL9AbIooR+F\n9FL8uYavsZCVlCczQZTV9j6eiQG+uotsJuQ14GwI3jp1NIuBzi83ZH43am6G7dvhhBMSzu/tJZtw\n8FKg9GteSt7RkBcfj+WxdTTkmr0hOxsGDiSQnZfCs9raWsoGDXMoZRlnA/gSSR9HNiXSTTgfLZnv\n2rp/J8OKStI/mEytRbAGiid3Sl301EhSBkllQSonJzKAskhPTrl6FlMeX0m/ZRvwz7iUUHY8ZXyY\nqP62ftc3AzJ1XCIbwUilhHzEHpVlQE9p9MUXdbw2YAs/5FzKGMgmdrGKj8nGz3TGMp5SNrOHm7iU\nd9nE+YxlB/W0EqeZFg7TTCtHGEo/VrOdqYxUyk0hvWglxh95g/V8yntZf+easwr5dPzfaLm8inNy\nRyQiYKvnEQjuUX2wiV08zNK2FGgahUike5LjKBs/pzJMKclSsdEVLFMOSV9APXWfKQ9l9go9O0U9\njTzU7z3e921iEsNVxoYAWQ6F0yZP3dYjqSjqdZXUSoxVbON8xlkzvATIOup1IxOyrSO29ig++xJr\na8PeOmYMmmad87JtMjMOuG/6QjRzL5WcznCChLiHSroToDf5fMAOTuMkNlDDIHpzCRPZV9twXIGD\nY3eRtQ04uXjUUK92bOmUuPZSR/klYScWLYLqajjrLIhmNXtOlkwo3W5Qppfpypyp+gKmC7Z/+Ng6\nSstLV5KbtfIfoZRlSuacC9HsSI3U1RY5WWYN9TzabwWTfMPVkaW5GATIcqTWItwAZRd1eDyY81NX\nCEYxmN+zhFVsc1jPum38iEOPP0SP7BM40LCT6LQz+P3ADZ7z0EsOmBtGXfHTFTzzGbnIDqIPkLAk\nFlOgcnpK61IBPTiD4UxiOHCEbzOZOoLUEgSggO78gK+nbDBaiVHFx9zANzid4TyXtZJAvzD5Wdmc\nGx+Br/rP+OIxRx8MpIB+9OBtPmJUMqWYbP9sFvEaG1T6qwd4lfMY63if2X69PvKIbSojHan7TOv4\nKAYzj3f5MecrRa2AHnTf1Mw/FZ1LIb1U7tRs/DzGuxRTQE/yrMqOTcbqv+uWa73+sp3mOgZwoLmZ\nX83K4qVFMT6s9nHWWQklrrNPVmzWdT3nqXmvpNraWoYOsm+kbNZkt5ODzznAEj7kVIbRm3xWso11\n7GQjn/Ejvs4ClnM+Y3mMdylnMK21Ide15bgP3DFApo+B7hNUSiG3chndLdFBOrmdpXeFP5sJO7Gl\nJuqJ5+ZVp/b4Pbn5Y3Qmyd3ubBYpXKQvM1pYAmLKugApmGU61IBe7+OUOenjyDZm3SA4OpNkVOaM\nbSPUAnsXzzv6V9UrGTkroy9NGIb2vFOW6fRTiiqfqqs5O8VHt+/o0+k3YiI5rYK+I06lb/kkz3nY\nnghk27O2Y1fbfTXUMyG5WEuYE9mnf+QNtrCHrzOWUgoZy1D17LtsoZpPU8qUvmQSUuQmLuEWLuMW\nLgN/gDVF3Yn5s1L64CQGUMF0HuYtR/TmL7mUWRosic4zM+rW1r7/5mUFbWOraxu/2uAt5HFfiGZ6\nteQq66qE9ZjCSOUD+TGfW6PjdVwzt9/lOvVb/uoYS/r4kutYiGZ+vXMln+xqpT7rIDt2xaip6Tq4\nKt3HTLb7aNeMTP2fu5ODL/nZwCHu5Dtcy3Ru4wr605MbuVhB+JQcB/L930H64DAXj+7kOCbClwJ4\n60Em7ER5aY6nw6tbnWwAlJnUtystO1KAX8+F+PEjISWa/bEue6ckuYDPZlEblED8kAP3qj6+z4Aa\ncAdBPk7epDt8X8wEtfDL8djVPnnKET3Sw/O6Gu+Tf0bokjnKKb09JOEw/M1tEBZ3JceRnIchohr4\nqAFgnJdH7vyF8MQTZM9/ilBeN8UvSbIsve7pyCazfhf/q6Fcto3vZn9MBdPcS6UClZUnFVKJCxGl\njiBzeI3/5mVCNDOOoVzCBIroSQ9yVRCHvmmSdde/y/93sY9TJt9P9JIHHX0g+Rc2YD/k8/o4MsuW\nGRPsflRRDhLm6mRieLvi3QY1pCvdtnpIqByACZxINZ/yMEv5mM8d99bTmBrwEG9RypD8Xa5TN/AN\nx+861ImOqXfbsGkML8mmf6yAk0qyKC3FcX9nkRwLEjj5Ss5y9IE55kx8w/aSaYTIJ4cierOfw9xD\nJQ0cSoy1eIsDP7SEflY8UQd1OC72GKRjBUakI5Quaa9XuLkb2aAxMg3jtsFOZEpmSLt57atCeni9\nF4xIe8pKRxLCQE/urSc1l/eYZZrfTfiGzqR05dpgRP5RlAmcip7c+w7xjGsC864inV9ecCodhdmJ\nRISCw7j55sT/TSIibhcL1TjT35uu7TqExSzxrIKIMGE50tXXCqdUNUdEKq8UK6qus+asXLt2rQPu\nQyadl9912bJZ7FbXZc7VH2uJ6v9NPCk2i93ievGoaodbPW9LQpO45Xc1c7FmQpnMU1PuS+iUTNcD\ncy6auTvXix1W+BDHGKiaI1orr1FwJG5tsT1r3q+vGzbok86aZxKyRebl1eFf9P6T43anqHPwSs8V\na7ZTJ1t/yPt2ijpxu1iYKCs5rqNVs1UZchwfhxE5xqieRh7nbc97zF2C2y7O6zev3/X3eFly3HYn\nbrATZtn239uQxzMNm+8KytTSpx9VdMSi2Z7nErtVA+178s/gkofVrn8/hx31spG5A+8IuR3rZNqW\nrrIAZ0rSwmA7KtNJZrKYwInczLdSjk6/zHbI4y75Xv2zo+4DO3fCJ7taacgK8smuVmpqEmXdwmVc\ny/k8zFvoAK5ebZfHm9K61sAhQkSVq4eE5ci0vhK+JEQzxFuI1W3gQPwgg+v28D/xyhTrWLM/EWRw\nNy/wJ94kQgv3UMkdPAvAf/Myd/E8W9jD73idCC3KovjPTEUAf+czfs8SmmjmMd7hl1zKL7nUUS9p\nTZTWlZ9ykRojtjbpPGvPWFGp6XD2t27lgjZfMgkurfeXXhcToFcn2R+6/B3BoJQMMQ4A3mSf1Mcb\niNVtID9u97uU79MBp+XY0S1U5rqh9/99LOZeKjtlnknIllIK+QUzeFTLVar3nxy3Oki1zJohU8np\n/SJTg0kyT8vkvQ0c4j4W800m8If4YhrrqqiLN9Bat4EH44tU+jaZQcSNjitwXzGqp5HbeZa/sYNH\neNN6T0cWjBCpGE02gWCSPqDNwW0eS7SHvNrwZfgXpaOO8LijC6jXczYfQHmM67g/mdTclvfUbIv+\nfEeFoU34pmuLrR2Z3Hu0RxhuNIETHXhnXlROsRLwtk1FZx7zePWJxGI0P/W+bS8NG0by6Ko3w0uy\n1dGVVAi8lH03X8F8cimM5zkUtlIKE98jEVi3DiIRz/rmk0xlRFLp8R8hq2g8hf7+DCo6m//0/zP5\n5KT4iTXTSpAwFzAupUw/fgrIp44gRxAECSlZ80deB+AVqpnBqfQgl1v4lkoLJdsm5d6dPM8snuNe\nKnmYt+jLCaremfArHckj1EdY6uhvM7ODPKKVbhNholbZZWKw2caZ7WjT5gPXxtCA6pOsovGE/HFr\n2bL+4EyP6JXnWPa/vPf7nMN+mlKP7ztIsh0RWthHk1KWzL7pTo7DTUbf0Om8kcexZio4XXmT/oAL\nWK7S1f0//ww+KupDP38/8osm8X/8F/Isq/gR5/IH3vBuRActkMckHStHqHUiKOaKN9IeL2RKTSIi\nbhVPiQox12H6lebsO8VzVlP9iupU5GkTJdyGnp0pan570Kn/EdSeOtjGVrrnM8k+YDO/pytP9nG6\nd3X0yE2vn47G7vYek9ozD/UjjH8kmcjz8reufI/8Xz+el8c+IhwW+9a+J0Q43FaPWDTx1wHycnnI\nZJym8EQ7VnNQOCzEzJmJDB0zZ4qm8IGM6ueog9FGvU/Wrl0rmkTEcTS+Wex2uGTIY7lVYqujnEVi\njcrAINtkO6aVZc4SzzqOZc251BnyTbbNHHf6EZ9sl/xMOeIUxtjR7rPJeK/6vSv+bq9oLKqOPE1e\nyOPpnaLOtW6ZUmdnZPGSmfK6rPNrm95zfV4nc1zJ+3R5rveTOiqPNaq6XC8eFavEVjFLPOspL48r\ncF9h8loo2jOQ5cQy/X28fAuaRETc2jTf6v9gG4y27+0h0y/iS0+bcpRkjq1M/HtMISdEqiKcKR9N\ngZBC4bAQa9empAc7Wh6bvi2Z9Fsm81Av4x+tvEnqSFs7+h75+V/iBbFy3XJ1rU4ExT3hp0Rk5rfE\n5+OGisjMbyX6tGqOEH/5hhDzL0xVmjrw7nT10utzvXjM6SMWi4po5VVi74sXi2jlVULEWtT9obUr\nRWzcWCEmThSxcWPFI+t+2+7NqP7dfPbtjSvS+kx5zcmbxJNqvKXbPHj5P3nNf3ntQbHYWq55n00p\nk5tns35efmJNIqIULVme28YzRRmNNYolYr2oEHPFErHe2m6liBh10FNzSSXuaOZNZ825TOdwk4gk\n/GDjqbzWn68TQeUvqyuEeptlH0q/THNTKNfPF8QqVc5xBS5Jx5oCJ4R9MnVESWqPIJPU1RY4/f5M\nHG9t9FVR8tLxykbmQi0daqXFIFOe6M+b1tQmEREiHBYtMy9XVo+6cK161m3neTRtSUfp5uFXRYHP\nJL9nV1O0arbKVykptHalaBl3sqiZOFR8Pm6oCH3wvhAvXyPEvDOFeOxMIV7+vkNp8iJT6TCDBswx\nalv0zE1Dk4iIlVXXi0jllWJl1fVqjG2JfSruCj8p/j7zDBEbN1ZEZn7L1QJnU470cSGVBb2+dSIo\nro3NFbPEs54nC3KhlQuzLN/WjtvFQsfC2x7yGh8PisWiQswVD4nXMipDVwJ0x3tZP3mvzcKlyBJs\n4DYX9TZHq2aLzyovFSuqrhWLxJoU+WLbiJokeWvmZ20vdZZs0OtiG++2eyu3vG29JoRTSdVlqpTj\nuuKnK96Kb0nrW5NIWI8rxFyxSmx1VbIlHVfgjgFys8Ad7S4m3URIFy3YmcdbHRWQXb3Qewkm/dq/\nhR8Xi8Sao37PZrHbYc3Ur2dypK7v5uQz+9a+J2rHDRWxiaeKlnFjxG/W3S52ijrrbtGt7M7kc3st\ncP8IqhNBdZSmKHl096XVLZlMu2n+ZYkoY6mUJY8hW8aNSSjmHbTA2RZf3ZLmtjina79UjkQsqsbY\nnqrbxfbKi8SSqh+Iu8JPij3r3hI/D//RamU2F1epSEmrhRDCcU0f829vXOFQEGzWoB8nj0n/P/bO\nPD6q6u7/b2aSScKwRUzCEsIaICgRBCyLWm1V+ghYqdhaq7aPT0tdfs9j7WJrW8WlrY9FK7a1j1C3\nImpVaKNSCxWLVSSpJkRRExZZZBGTEEgwM5Nlhu/vj5lzc+6de2fuTIIL5vN68cowc++555x7lu/5\nLp/vD2S5ETm6SJ6UaxJECyY6MDsJvMkihv9HHnI1lqz9oZtC7YTTuMhdEZFwm3SUfUv2r5oTFeJi\nY8nJhGocIMP1ImX/Ke2rvi7vlV0gdeEGRyHfDZzGlpt70nlesnKth4JEWtMXN29IWJaaO9a92W4c\n6HumEpBbyu80CenqHSRaL3syMXwK4MRC3ZWMA27Sa6n+Us7J1mcNwM9EhjGCfAIkzrSQLO1QOs7X\n6aYIcwvV7vGxnHRObOTbeJ+NGe+yrdcH+PAwhsGmcpK1fTf1hqNrHv3Ixc94hvIH1jCL8dTTTAcR\nzqTEFPHqixw12PZNjPWx71X/9M8dStbL5WQ0NOIdO56ihT9hRWYFX2ISJQylhMKE/dDd/exmHh7L\nnLZu8CSvsp/DHCHAFEYbaaram7ZH8yMeo0wfekaNek8L/pq/4WnZhyd7AIGT5namKZs3D++sM/Au\n/C7k5ETTNp30VZj4dSia5epRdnmGy9lmpAOy/p4onZ5K56eCaAYzgGGeAvLox8TIIPKrVxKKtDAm\n6OX0khsYOLSEUzOjOUytGS1UfsgHWc9GtlLIQF7kbTawhS3sZwR53EGZUc+7Wc0GajmJYTQfOMSq\nQW8wnqHk0sc2b+jpjOcUhnMh0yhhKBMZbqTqAnNUOUSTvF/Fuab8nQr6OqCeNZ6h3MvzPE+1ba5X\n1UZ9Prt5T6r+MxibMAVdOduZyVjzbx4v4aZ36RMMkFEwCYpmEqCVB/u+wnTfuLhy/MSyCHhOgKbd\neION5BRMpV/ROXHZFNzMA7UnWLNpJLvfLktCV+fdb3iWGTZjPNE610SAP5z4kpERxQqViSHKn/g0\nb7CbaYzGRwZ+zBlUFLGyyqAi1Q8RirTQPxhkWvH/w+/xMwA/AdqYxmhCB470pNKCT68AZwd9sNkJ\nTG7LSARrMnu7gRsdaPGLmDXt17FKO3QsN3o9ZY+1/XqfDCaX1u2HmDSwmNlMNpWRrO3WVGi17ON+\n1lHFdvZwiM3sYjWb+Bc1Ri7IWvaxu+Im8qqfJqNpLxRO5yXeZgT51FXcSq/qh/HFvn+HPQzOzKdy\n3nhyZn0BWfhtNuUc4GvMBKCdcMIUbHp704V1fOrzMN2xe6wxmVEcoJF6PmRKpBBf9Z8g0oE3eIgp\nsUW226HlMq0vLOFXkSf5wrt7aI9k4snpzW+Kj3KqZ7Qp1yyZWsYFjzel9FkqWlRtLh2EOYURphRV\nbt6NPoaLGcyJ9OExNhhjfoCnHxlNe8kIHua1gt5kF32eAfiN6EJruiFFCPtdzuUsJjCEEygklzfY\nzbXMZgT5xj0+MihhKJXs4HV2MPqDAZw36DQj56efbJoJcDLDTeuUyjXaG5+xkSv6jKlaWqvOhOxZ\ntvlAAYZyAkM4wUhZlU9/QyBMFEmv8pFa1wW73NYdkSB3e/4el2/TrsypMcFIz7EaIJqYfULxt/EX\nfYF6msmlD9k1rQwaNMj28G3Uq3A6FP8H3qIzonXR1ng3eaedFAC6wGtPVNzKfaw1ct52B37Ds2zl\nA7aznxmMMw7H1kOKCZF2/B4/Oe+0cnJBsWPZ6t432M01zCaXPjGaG/O4WsyzlLMtKuB5svAc3klO\nqIWMgkk0FZ2Cn84UmTXso+TAwB4BDo4vAQ7MOQq7ohEI0Go7EXfV76VoUKHxrET1SHSKsVukPy1I\ndOrTF73I7hbOGHJq3DXJ2j4APxMjgxjhGQyhEHmbd1OcO54F4dM4tPlVrsy9iJmZJ3MWJ5FPf3ZT\nz5JIGV+truFw5DA5wWY2FI/kCU8FRyKHyateRVskQEbwMDXFE7nf80+a+JBnMjezfnAjr2S+y2b2\n0E47ZbzOGt40hEe1mdSyL8YzF/2sOJDsNhunsaM2ArvxadXs6gt4LfuMTdUJ5WxlGCc6Pru7MIXR\nncmQOIBsAAAgAElEQVSsm3ZH81sWnIKv6Mzuf1gsl2kk0oYneBB/8Vc41TuOfk31hA7vo3fRaZxa\n9A0gfiymIwQrXi2lzZpAIf/HP6hiJyWWfJ3Wzd36PD0BO8AwTowf84XTaSo+k75FX2QFr5jGg3VM\n6Qcndc1gcpnG6KgWLBTCv3kr5OZCZiZ+splAIZXsZNQH/SkZNNpYg9ZSzTNU4cNDCcMYz1CWsY4i\nTiQTb9zY/Bc1fIlJ+OlMyN5BmLtZbSSKV31xN6t5ibf5J+8wkWFk4jW0RQkFghjU4W4wA4zE8ba5\nrSvuxVf9J2Y0ZTK98PK4Q7v1fXQQNuVYVevyeIayzLOeIk7kDsqYymgOfXCQJwZVOR6+jbp6Wozn\nqr4BeyuQtW769dZ8rup9OOUhtct52xXMYBzb2c/3ucDIbPMS7zANe81ae8VddFQvI6NpL4cY5cpy\noHLtqvf7eSbweSaQT386CFPBdq7mPHLpQ3vFXUTq3yQz7xTqZ1zJbaxkAoWs4BW+xgw2sp3JBwb1\nCHBw/Alw+uRwo9lyMm3qyan1ieekXrcrzy7Rso6PkoC3u+BmY1RCyLD6Poawa0XCtlfcS5/qxwkf\n3Ir3J/fR8dADFKzfBH/5CxMfWc+Ol1eSN+9ScjMHAFGBb4hnIDub/s3YoI+cgqmMKLqQvmQx3VOC\nr2kv/YMhNhf0Z0LRVxkS8VPt2cscJvNVZjKbUxCO8i9q+X98iTMYzwjyjcUmFz/3s46XqeWE2Ocx\nFCBInCZRbWJ2Y0ct7AHaDFORErgOHmggY4ifXPownqHczwuUMJQ9HGQJz7OJnZxMEQ0cYQB+1lJN\nBl4G4KecrTzCv+hLFn9mY9yzu/Iu7WDcE9NCuDVPpgyPl/am7XwQfJecgqm0Fk2LLvD7NtDQ+i69\n+xZxtPA0fsEqZmjmMSWITWO0SeOSDFFz6XbOYSKTGMEI8pnGaE5huLGhWjUtdu4EysSlJ2CH+DFf\nTzO3ef7KOZQmNR2qdU3/vzJFEQrBFVfAQw/R8fJ6vPMuIJAZIZc+0T7Y32hYDQDGMBgfHkMz7ieb\nIk7kLp5jJuNMdVlLNe+wn0w8jGOoUUYTAcrZyjiGGkKV0nSdQYkhvFqtIskO1lHt/QDuZ50hAObT\nnzEUUKzcMGKCvdL++oovIODpSGjxUEKEVQOo9op8+hsCdsP+OuYNmZXQhKjWhgkUmjSbuhl0Bx+Q\nRz9HawxEhb0iTjT6MECrybqhJ75XOBaHsxmaqXwaozmLk+I0rAFa6YgEqav+DYHIh2QHmznYZyqD\nhyZ2NwGMQ6V+eNcF+qkxoTQQOUJ99T0EIh+SE/oQb/FcZnpKGICfMQyiJJLPNM9Yjhw41CPAwadT\ngHPaePSJ4qR+tg7I/+WvfI5i0+J/H2sNU4XVRJhd08roQSMc69VVzd8nGW7bpxYxtXGkhEg74eoH\nqI80EDq4A9/qnXyQ0YJ/bz2eugY8vf2c0BAia9ZZ7B7sNczVReTRp/AsfMVz8RV9HoDDtLCE55lY\neDGZxXN5sqgXn694geHVzzK9KZPRhRcai+5w8qhkB7OZZGLFn8poxjOUMRRwVqSYiZ6RjKGAEgpt\nNYlqMVKmXWufKNOB8i1Swt6ApkweyNvABAoZgJ8N1LKJXdSwhw9ppT/Z/Jt3WcObBAjyd95kA1uY\nyDAmMpwT6UOEo/wHk+PGrd186bax2tYOmzcbmp/ugqqzt3AmGcVzOFo0I1rfSCHe6odpkQ/pG2xh\na/EpvOLZzkjyDI2NEsSKGWRoVdz6VSlTm74p6wdCO826vuHqJi7dv0mH0uDq4yfRO7BqZePe3ebN\n8NBDRDIzONiwk7ZZn+N3gzt93rY07sJf0N/oGx8ZDCbXohHKio3ZLKMv6mlmHEN4la3MYyqZeA1t\n4708TwNHDLOXvhn7yDCZO3Uhys3B+haeBmADW6hhH+MZatZQerwm7S9FM01ldxCOmXjNflaGwItZ\nc676JEAbfrI5cOAAw4cUxdVfh3p3QxkY16YOwvySv7CedygklyLyTGNGvRcfGYbgPDXmK6ZrK5U2\nbBM7OY0xH9meotqiC51K8BzjGcq7TRWMDfroXTCN9zNGJF3j1aF2qkWgVu9AP5z4PFn0btpPn2AL\nFJRyd9EhpjCKe3kef8VShlb/lf5N9RzwFjk/123ExvGAT1sUajKemmS0EvrvThGjbqNQU3n+8YJU\n2pf22IqF9re98r9GZKHMnx/9F6P92B3cbUSLWiOmdD6oNbJJrpUH5Gb5sxE9JqsuM0cwSnQs6Dkp\nre1tKb9T9pRdYMrL59QfyfrIGknbIlFi2l1SJzfKY3GRgr+Qp41rVXTsGtlkipRdL2/JQlkqPxRn\nnsJU65m0/hYCWsWn1110Bo6RduVL5PBjFxmRpXa5W3Uqg3TrYPfX7b0t0kk/okeAWqOc7fJHOkXY\n6+PcFEkaew/h0olGBK66fpfUyXfDS+Vq+aPcJE/Ekcq2SCf1SJ00GZ/1yG8996ke8apHyzr1t4q8\nteujRO9moSxNTq/hUK4dL6e1L/W26XRFySgqko0D/d1vlC22RMZ2/HV234tE16U4CqSPCHYRqaq+\nqu/dRs+r8aVHDCsqEVvKFUt0e0u4WUJllxkRwz00IjF8mgQ4p0Geyv06dM42t0ilv453Yc4Ka3u7\nMrZaws3R8oJBkaqq6F/9s4gtbYC+OdWGdxqLhb7560nu1f23ytOG8KR/f7uslLpwvewpu0DaV31d\nOsq+Jb8MP+m46KZLL1JZWWlwHTklk08W3r9e3upWQc0Opk2xsjIqvE2ZEv1bVZVy+xO11Sqo6GVW\nvVbe9cYkgf5+k7XJSjujxpR1o/qePCQLZalcLw8bwpye7D2ZwK3XyZTUPHhIllX9Oo7PULHl3yx/\nNlE52B0i1GclyKl5o4h81ffqr7pWFxZ12pEW6eS+aytfbHqeoihJtP66peVIJGw77RX6IU+9O3Vt\nIh44t0Tkel0Ud5mCHXGvSSBP0L6u7H/pQqen0esj4n6NdyLo1ctLunZonH09AlwMnyYBTqT7NqN0\nsyO47S83G9nxJODZtTfdsaVObPomYTfp1Xe2GlSlxYtpzEx9bXNyT6aBaytfbAh++mJkt7knW4jt\noPrKSaCxKyOZFsNtOanCqoFrLz3JVgOX7BmJBFY1BhbJk7apiCorK6VOmuQOWRVfr25oo7WMZMKb\nHXeg05hdKEuNzz+Tx+PGp9OzrOVYCXn1PlLCydWyzJSJQd1vZcu3CnS3yFOyS+pkpWyUa8J/kJWy\n0aRJuVn+bMyZm+QJowxdSyfhNgmVXSbvrfqS7C6bJy3hI6Y26IKrFdfLw471tfZxKmTKVtilBeuq\nBk7HRtkSew9/dDz0OaXTsoObw0R3wm4e6uOuuxUaSa+JZc3oEeBi+LQJcN2JdDa/7hqw6WpqPsmw\ntqVLGrjYJqXYvFXeQKXN0E09C2Wp7A7u7kyLpRF0tpVdLreH/2xP5KlBJ0R1bFNM8NM3hkQnZ2s5\nid53ZWVlyjk70z2EWOuSjsBp1CF4QH5VdZNJ82P3DCckElh1DZy1n1/cvMHI0fmLmFboWov2pyvz\nS91nNXHqBwoltLRIyNB2WceFk9Bh9zkR7N51orKVcHiTPJEwI4qaX9bDi5prLeV3Sl3ZRcbBRbVJ\nEbSqTCe6Fs6UIql8ibSVXS5t5Ytjz+ok5L5altlq4K6Xhw0tpZt+sgrKen/dLH826mzVAFnLUL87\nrVt6ztNkQraOZ+U1k1BrFTJVppl0SXyPNawE0ep9i6S+xrtVaCQiiL5dVvYIcAqfZQFOh9tJ0Z39\ndTwJbwpuNXCptD2RBq5OmqLCm9UXy5IiJ5nw5uQLaRX86qRJrg49LBtqjkhjKImvlkOb7Tbw98t+\nEs2RackYkEw46w4fL6c2uN1Q3LDxpwvr5qugNHC/kKdNmtpUnu+0kSthRGlPlKZIaZiulmXyM3lc\nrpE/ylWy1DhcXCN/NDRTt8hT8jN53Hb86MKfrv0ymfolfpxYNUpu+y7ZmmXVwBnfh+uNg1Co7DL5\nn3BnQnuT+dZSN/V/JXDqKZF0we9qWeY4dpTw5vaA5FYDl0ybJ2K/bikfU+WmYFeGnZBtWlu0Ncl6\nn1Nb0xH2uxN2bdWFzVT2w0TaQ/05TgdTNW6SPbcnCvU4QCoUCalE5HVnfx1vkarWfnTqK7f9raKU\nVGSZHinWQZg9HOQunmP2Zg+9H1oRjYJsaCA4ayqZ0xYQKv4CvqLP4yPDTCehMftDZ/aMPPqZIvMg\nxuAeGoZvcw3k5uKN9GH9ogm88KyPmmof158xiv4Z5ohPp7ZZOeAMSoFIIZ7qh2n0NpETbMZbPBc8\nXldkz+lS0SSLDHQbMZioDl0d36qvOoljO59z4MABioeMZAqjDCJXKzeWm8hOayaRu3iOKnZyOWfy\nDJXMYTIzGGdcN4kRnMVJfI5izooUU+oZxflMxk8Wb7Cb/+RsVvAKFzOdl6nlGmYbUcrRqMKVVLCd\ntbzBS9Swnrd5mVqGMIAlPM8b7OI0xtjSlUxhFPex1pHkVbVBzZUdfMAQTmBL4y62FTTSwBF28AEh\n2uN4BX1kGNGGapzmevoTbnqXI8G99C04jdOKrjAiZlXkaYBWU2S1irRUUZp+srjHs8aIvFQZC/7A\nWoK0x+gq4tsym0lG9OKrbElIi2NHbqvoOPR7mgjEEZDb0T7ZrVsjyKcvWZzFyY5zwy4q3cjMExlg\nRNdLsIGs4i+b1iAfGXREgtzjWRNHR2OlrPko6adMbY20U+9pYTHPcjXnkU9/V/uhGpNL+JvB9aa+\nV2NNj/R2IrK+kzLW8CYlDKXjQKCHRgSOTwHOaRN1St+kh50nw/HYX90F68Lm1FduhANdeIFOviRF\nsHofa/gXtVzLbIpyi6P8Vw0H6Rg7miULhzA2s4j7PFFy0nbC3MrK6KZTsdRg9qdwuvE8ncD0Hfaw\nnJcpZTifD43Ef8VCeOghePlltk+4gLLnPTRkNNF2OIvPTfKRc2JrUoHIru3GZ4+fwzuryfdE8BVM\ngaJoRohkhMfGeA6FXFN52B1snEiHP26eQmtf6dAzojilZnJbtv5dlCssmpapiBP5I/80hIfFPMvr\n7GAaY9he8RNGVj/HW02vMLDwHDqIGMTSUxhFBl7eYS/ncYpRdz/ZjCKfl6llIV/kAqZyNlFC6jEM\nZiLDOI9THOlKfGRQqnHS6WnjIDoefsvfKWc7/cjm96yNZoDIe53aXu/zBu/xNnupYDv/jqWWUoS8\nr7KFV9nCS9QwhFweIkpuO7DwXNpGnUnr8Bnk099g0VekrErAmMZoBuA3CYBKkDvKUf7K66b2TGM0\n4xhiEB3rUPdGs2AMp5KdSTMt6OS2dmTY+npivc66Txw4cID+Q04wDn1qnul1dSLLVgdMHQPwg8eL\np+k9JNhAeUEODUUnGcTbi3mWmRV/J6f6UaY3ZZJTeGacUKroR5ax7pgJcdbUVrpwRcW9tFcvJbtp\nP5sK85nECAbgT7ofqj4ewyBe5G0+H6M4skvJaCW61+uVSx9OYwwlDOUpyhl7ILdHgIPjUyCxW5yd\ntBn6Kd+NxuB47K/uhHUhdOqrZH1t5cjSyTaHMpDTGMNMxkVzzmZGWDKvF6fOupzshdcyOWcCufQx\nOJamMZrtHOCsSDG+6j8ZzP4Un2/KmzqeoXxAE79nLV/hNFZSwczNrWQ+tNzQ7mX8x2msOtCLvodP\nZGSRhy/Nb+d3GeZNIFkmBP03de22QC7DzvxOHCmu00JdTzNL9i9j2l3PkPXbP8Cjj8LLL8O8eY5C\nnJPWyc13Hxecnq+PrXTraHefzt2WiZc32M1ZnATAq2yhF704KTKI3tUr6BvxkhE8REvx2dzl+Zuh\ngeogzO9YY6QO0vEOe3iLvbzLB5xLKbn0Md5xO2HblF1Ky3UfazmTkuhhs2Ip7dVL8TbtgcLpBGjl\nJp7gGmZzDhMpIo8xFDCZUfjfbmVcwQg+RzGjiG6+lezkVEbG5tQoZjGOvuRQznZe510uYSb3sZZZ\nFWsIvLGUd5o20F44hcU8y0vUcBKFPMxLXMYZPMA/eYPdvEIN/2YHJQw1BEkfXlawga9wGqMYZAgG\n73OIu3iOMRSYtIH1NHM7q8inH8t5mRKGci6lSd+zVZs4nqE8GFnDqZ4xcQSy+nV2h61d9Xt5dNBr\nPM8bjCLf4GnThUFrLlL1vXWPMaUAK5xOuPg8mopO4QXeimqSiPCPSCXnVL9ORuQo3uAhKD4fnycr\nLuOCn2xTlobuzLiiExOrw2we/XiI9UyJFEL1g3wQaaBPsIUhxd/gXs9apjI6IaGu3sc6UbL+vdKI\nWgVfNU70PvWRQQZeqtjZI8ApHK8CiXVgO2kzUjEVAWxp3MXIgiLTd27NtZ/UHJeukYKmB8xpx9KB\nmtS6Nsiajked1E/OHMWAwWOozwwai94A/IbAN43R+D1+E7O/ymNIKERw8+vcn/s652VOoYShTGZU\ndFzkDooKRg0NMHYsOVdfxeyz/ZwyCXbPX82Z2cUm7W0qwo9+7cEDDQwZOsz0W6L7/fsbOXvMfLL/\n+TJs3w75+XDoEMyaBYMH297vpHWympRSyWTyceGjWLd07Z6PDE5jDLMYR77nBLKa9tM7eISsgqkM\nKZprWls6CBvZMKx9mEc/KtjOD5ln2pwTHTDvZjWvs4OrODeqjYkcpb16KR9EGgyT+/2eF/iADyln\nC7MYb8ybAfg5tK+BM4acShaZPEcVX2IyNew1rlNz6HFe5VJmcUHkFMZ4CpkaGcbA6qfoHfEwPAiD\nii9lmmcsZ3GSQWCrcpzm0Zd3qecqzjVIgWcyllEMopBcJjCMJgL8lr8zgULuZjUdRPg329nMe0xj\nNB2EuZ1VBGijkp18hdNYyjomMYL7WMNI8g3i7qQHwIqlTKt+iYymPVxT+DbzmMIGahkTy+agMhyo\n96yjYX8dXx5yhnFA1N9tolyk1j3GmgIsQCv3eNZwLqW8xrtUspOTKGSSZzS7ml5ncDCCp2CSoYF3\nIhBOlLIrXfjJNtJVzWAsYxjEvTzPVZxLvucEvE17yAk2Q0EpDxS1chXnMgB/dN1ykUpLvTOroA1R\n07Y+9vV1MZc+hilezYOrOS+x4OjaK+84wGchiKG7nD/rpEmuDpsdb+2cPJM5aX4aEFdPB9LWRPff\n2LI87fYqR9ZEnEk6H5bOuWXlFxIxc8bpTtV6u3QSVHWPumZf1QtxbU4WrOAGdo7TrsbKbbfJURDp\n1UsERPLyRBYskJbgobj73TpCG/cFD3VG9H5CofeXHh34kSJB1HAyh22ne+xg68gfi+5UDvEtEpL/\nJw/K1bJMbpY/G9HZu6ROKisrTfPFqX4tEpKW8jsNupxdUidt5YtlT9kF0lT+S8e26jQqTuuhoqJQ\nlCM6B5712pWy0ZivKsDiGvmjEbWadG6E26St7HLZvepLsr3sfLk6/AcjYnmNbDLKu0meMFFiqIho\nNbb0oBI9CtP6PuyCGRScSOKVQ/418oD8WFZE70kwnlIZR+nCGvQRF2QT3mc8V73nV6teSVquYg1Q\nASxOz9bh1N5EgSYKPQLccYTuFpxe3LzB9hlunvdpEt7i2qCRtoZLJ0YJdbXr7WBHX5AK4gSxYFAC\nla/KLcFHTJNZ/2xHI6ETdloJUwOVr5radbDqX3KtPGBwlN0kT5g2Q/0ZTm13I8xbP1vnYbKxUrev\nRlqzM6JCXHa2yN//Li3BQ7ZEom5IYo3nBg8ZrP5KIPwkQvWXHh34caJFQrY8cHbfdxssG741GlSN\nV9VXiSIcRaJRp++WzZH2VV+XUNllcnX4D7JL6uQv4X/FRQXq82yRPClXSTRC9Q5Z5TjmVRTvrfJ0\nHHee3WHDVDeJz/rghBYJmehLFspSEYlmL9HL0+eJzkmosqKo+a+4z+w4Ca1zSj94Oq0X+v/1SGe7\n39V3t4T+IlU1rRI6RluIUwStophR9VTtUsL9kRVfjYuqtSu3RvYalC5uotaTrbE9AlwMx7sAJ9K9\ngpPb1CGfdjhp4MKlE+WdBTOMjT2RUNAVAS5uoseeHywtkdcXnCq7g7uTUmjoC7Rd1gZdAxcunShv\nLfictAQP2dI66IuxWqCdtA2JBCa73+skcfoeJ9TtqxG5/XZp2fdu53dJuOySjs3KSgmXTpT9U0ZJ\ne+lJsqzq15/I8azG1o9kuSyUpfIjWS4iHx/Vwk9kRRyZb4tEudjsSH6PBezGuEiK3JUbf2XSwCkB\n+Vl5zbjGjnNPCW8LZancIavihC07TdZ98ryJhNdJK5gKTHMuRV5FJw2c/s9OiLTWcZfUyU3yhCGY\nGXQq0pmBQl9jFspS+bk8LrukTm6WP8cJUo2hkFx3Q5tcconIdTe0GUKck1CrH3hda9LDbbaWJSWs\n3S4rpUb2GvW9JvwHCZVdJi2Pzo9LS2iFarudlcT6PHXgVtc4WWB6BLgYPgsCnB3S5c/6rPaXiBip\nrKxaGacTd7om1M6FTiMX1QSLYGmJoSmzvkcrs7qdRkrBuDcYlB1Vz8u1wd/FcXGJiIRCIjU1Yiyc\naoHWy3Xqj2S/q00rXWFXFwL19qY7viUYlPYF8+VA6XBpXzD/E6mB08fWvfKcLJSlcq881+3adjdQ\nJsBb5WnHjBIflfBm1TIrJEoNJaLNg/Il0lL2DWl59Vem39fLW7ZaJLt+VsKb7v5gFcxaJGSQ9S6X\n9Y7zM9332dXrndwZlCbOTflKEBGx567Ur/upPGbqK93M3SIh+V7NC3LWJYfk4sva5YxLGuTF2oOa\nWfmP9qnYgoeiLiEOLi+mg2n5EgmVXWZo0nZJnWyULdIiIWN86+9HWSWkfElSDZzdM5O5CijBUR9H\n+jXJiHx7ghiOc7jh13LCZ7G/DGRmwuDBdGT2MkVA6dFy+nfZNa2MHjQi5cd00jmMIz/kiwZOjByJ\np7yc3g1H8I0toffC/8fUzHEm5+L3OWRyGlYO+oApZH08Qw3uqqmMhswM/ji4hm9mnsMQck3Owa2t\nsGgR/OXZMG9WezjjDGjIOMyLvG1E8SnYOeqaIsViQSC+3DwjCEQ5JTftb0xrXOn0AoovTW9bIr4w\nW+fnzExa553HU7M8nLzwNvw5uQnvcR2Yk2IATCLoY+tzjGUXB/gf5qYckNRVVLOT+1nHSPKYxxSK\nyDN+U9GHPjLIo5/pPvVbdwU1RQNPsniDXczh1LigGjtHc+Uonke/aJRlZBhS/SCNkUaaQ/vYUzyN\n5Z4NTGEUEY4akZiAiZPO6kR/OiU8yat8h3MYgJ8ZjI3jXusgzESK2MAWzmcyy3nZYAGwOrmn8z5T\n6VNr0FE9zSYHeX0N+S1/RxBmJaA0UVQcPjJoJ2xqs6LTGMpA4/oOwrzGDmYwljMpMaKS1R41k3Gc\n3XcUO6p703I4g1FFHg7Of5GzMsYzk3FMpIilrIsGG2gR+702v0XTQ78nJ7MPnoYGI7hJb3Me/VgS\nKeOM6lc5GGkkO9jMvuLPcYfnOd7gPdppZyWvUckOzqSEjlh7BjGAEgqhcDrvtA1j8OcWGOXq/aJz\nEioqkHqaDToaO+5JPWpVBYUMZSC17GMTO2giyLmU9gQxKHxWNUo9Grh4uD1ZqjRWyU7LZbUvdq1C\nmnlTFiwQaWyUQNVG29Okrn53qreI2Xnbyc9C/1xTI7Lgkg4587J6ueiSDtlU22qYE5zqYPudTbCE\nDuVoblcHN7BeHze+NXNKIs2GnSbEVfsSwfoeXQZHOJWbzITyUcJO6+aU2UP/zU5Tlq62Wte+2L0f\npd21apfVXFDfv1p+jXxYdqk0lN9maD50HyZrPe3q+6Csk4WyVJbK2oQZPuqkSX4mj8dpWOzaZ/e5\nO6GvDdfKA7Z+zuq6RHXQTcvKDKibAGtkr8mcqt9nF3Skz+FQSKS2Nvo36VwXMTTpbjVwLWXfiNPA\niYhJA6fWPX1s6/6V1jaofUL1hWq/3g/W+tj9Vf6J6t+PZUWPCVXhk7IQflpwvPaXvrAqODkNuzEd\n1sheWXi0i74/mtk0XDpRAlUbbTcFO1+1RPW1a5eTQB8Kidxwg8hFl3TIDTfYL6D6cxy/iwWBhKec\nKgdKh0cFUQ0bqitSCjawg94Pdv6DuvDoVNdb5WlZKRvjfkvavkSwvEc9AMYJTlGcVqHEgAt/J6sw\nYPw/RV8pN0gklDj5Y6Zr/tU3Oyd/Id0pX58rcX0Si9C2rgOJ1gId1ojURPV1SuGlX6cftj4Kc6ob\nf9RkQpxuBlTX69/ZCTt279Bt3a1jTXcNkaqquPluNw9+EX4i6fPs1lirudl6vXU9sgvssPpA6n8V\nw8Am2SFrZJNh2u0R4GI4XgWSY4Xjub+s2qlESZYTncIVUtHA2ZZjo7mxE9706ChFFaCXqxYBfSG1\na6vTphsKibxae8TwgdPbrvurJKIvOdYaOH2DjnMUjglQTsKj/szvyyNxTutdRooaOOthwm7s6fOw\nqfyXhuN9sjLVGFBjoq18cdJ7Pyp0h4bJbuO3o8Ww0xI6CZG6BsUqeNhp4t0c2pye5SQEWA+XbpCu\nUJwsh7ObMu2EJLv57SR0q8NUsudY36NdNKlT1Kzer9b3aNcOu+8TCXB299gpCW6XlVIXro/rF70v\nrIesHgEuhuNZIDkWON77yyp82C2cdkKQHdz2ldMiJiKmU6QT9E1ojWwyheWrspwWT31Dc2qLvijq\nbVeBFjWyV66WZXKN/NFUTtwmaRMEYrcQmtqfCJYoMycNXEvwkLyzYIaESyfaCo/W53ar8KbXNcl7\ntNYj0ea9oboi2sfhfbK97HxpXfW1pNFwVk1HS7hZpOw/JbzqUtt70xKo9HdyDDR7yWA3l5zmoZO2\n2q48JbxZHex1IaNFQs5UERYTvipDf04i4cguuMgNkt2jH/bU9cmCPlKph+ojJwHJqTwlHLsRWh01\ncGIvNDmthVZYBT91nf69kwnVCbbCZPmd0lx2SdwhyiirfIl0lH3L9HuPABfD8S6QOMEaWegWn5xf\nXEsAACAASURBVLX+SrboJJqwKdEXWBaVdE65Cla/JKfrNsoWR8JbE4JBOVj5kiF8pKWBs2mb/tku\n8i3h4p2EWDlucwweSkmA+rih942dj9CPW/5kCA9uNHCmMjWi4rbyxfJe2QVRTZzD811Dfyc3ni3y\nl28m1QoeC1jLTaZR0v/q/lnWg45+zbXygNSF603P0rX218oDnQcBTQPbvmC+3BF8LKFWyAoVcblI\nnkxZC5cI6rCnhDhVD7uIcFdz0gHWvnMLJ+tHqgcDO6HczT3W6HbdpKnakYoGzu66lnCzNJV9TXav\nmh0V4mKHKGNMhJulo+xbsn/VnKgQF/u9R4CL4bMmkIh0+jVdcokYfk1u8Vnsr3Tx1NZ/pH2vW3V8\nspO703XKMVb5VOjQhbJEZtx0N2DrAiYSP66S+vxoxMpSWmryK7PTGHansHCsBI9Ez7E+U2ngDLjc\n1BRRsRJ8W4KH5Pbw40ZZoZAYhKluNzoD6p1MmyJyy2QJP3php2bPoi1NNma7DeG2hBolXZO+S6KZ\nAZSgpGuS4zTk5XfGaUX0A82z8lonwbKNL6u1nYnarDR7pnp0k3YzFQ2cnUYqDlq97IRjEzVSkkwe\nVreOXVInTeW/7NRW2dyfrE9bws1J22C3vqlxYL2vq/thi0SDZ5rKvtZtGjiP6xjkHnwqsWsX7NkD\nGRnRv7t3f9w1+vRCzykYoNX4XM5W1hXvopqdaZVrCjGPtNv+fj1z8JNt+uz2usmM4irOoZTh3MPf\nYgnDW43w/Vr2cRsraax5jci2rdRlBohs20qw9g3u4W/spt64zwr9O7vfjXpW3It/9feg4t7otaHD\nUFVFIHSYfPo7tgmACRNg7Fjo6Ij+LSkxfsqnPzezwAjFT1hOilAUBHbt6mq58d+1Gd9b658dyTB/\n5/W5eo6/Zids2xalMtm2DX/tLhZ6z8dPNq2t8PNFEb5/W4CfL4rgbU3cZ3F9od5JWweRtv687w/T\nXjAB2sNwxRVErvxPuOIKAqHDBGizfS9d7d96mjvnZMW9tK7+L4bsW2mUrcpVOW8Xcg759OcyziCP\nfixiAT/iAmP8BWhjMc9xGWd01jXSTlZdLfWRBsJ1b0Ckw6i3nyzTc7bxPoEJo/COHUdeRw7eseOQ\nkvHx7yXB+PSTzQ18mRHkR/usYinh1d815k1XMJvJruuh+gSwf0cV98Lqq6DiXupp5h7+ZvxV14rN\ntXbwk8UJ+A0Kmt3Usziyioa6VzkcOUzbu8/Bcwuh4l7TO9XXsrg6xtabGyp2ObZBv0/viwaOcAdl\n7OFgymtJorHsJ5tTpt9N/7nLYfp1prYEaIt+nv5dDs39NUy/ztXzegS44xwjR0JREYTD0b8jRnzc\nNfp0Qgk79TTHLR4v8jaf31HE5BiHUjoI0Gpa6AK0spt643drAnbjHv1+C/TFZ3KMY0pflP1kcTML\nKKGQm1nAwHGT8I4dR0GHH+/YcfQumcRCzmEFr7CQcxJuwOqzXmcDkXaoexMiHVD3Jh1tTbx3xRw6\nrvwW710xh0DocOKFMicHli+Hhx+O/s3JMf2s89O5hZMwqn/f3QKheoZ1M6mnmVtZyWKejatDonKS\nwiL4BkpGsox1BGhl1y7YtecoRzMi7NpzNOnBLq4vtHfivel5TrjgMXzTfwg1NcYhoGNbLQ/V/oFb\nWWlsUNYyTcJSCqhlH7fwFLfyNPWRBlrrKqmLNOALbSMQ+ZA7KWMxz1JPM4t5lt3U81ueN5KuL+bZ\nuLr4ySKPvmYuO6+PjIJJ5HvzyCiYBN5MQyCF6DyaxzSmRQqpYjf/m7OG+uW/45GHv0n98t9xT84/\n4wSbZFD94Y94CNe9QX2kgfa6quj8icHtOOkKHA+MsfkcibQRrnuDByJrDeG48wCZxS1cTH4kxzT3\n9Tbo8OI1Po8gnx95LyKvYBa5ngFkSQYcjdBeV8W9kWeNNfB65uCPeEzrml4/Ih146t7BH/HazmOn\n+T2CfL7H+azi3yn1cYBW7mZ1wnXZTzZ4fcY6UE8zv+YZbmNlVHDlWW71PmNSFiRCD5HvcY6MDDjj\nDJg0CebPh+wU1srjsb/sSBXdkIwqokU/WQYhrSKxnMIo2BVIu68CtPLbyDPMqN6AJxImHKznzuI2\n/u55yyDqVdcpIk5Flql/VuS9iqizln3GZqQT777PIb7IRKMffGSQWfF75K1H8Zw9Gc/F18PChQRy\netFBxCDdtPaTTj7qI4MiTjRIUP0RD3hii7LHC027IdgABadwZEeEcc+tJyMzixMaQmTNOssg3nRE\njFjZiRhXLXg6Uam1j3USZut1avHdyFamMTqOuLm7YEfY6iebaYzmLE4C4G5WM1Wrm3Ue2tXfrp1k\nZsK8eTDjNPjuVXTkZBrEt619m3m3ujdth32MKcpk/vzoWpGs7iZo78TnyYp+l5uL5+VX6N1whNax\nI3hy4Ul8O/M8xhD/futp5g7KXJOMq7lbTzN38Rzf5gvs4SBne0rJaNrDh8F9bM/PJ3PkmazjLXLI\n5GSK+AebeYs9NNLCAHLYxgecx0SeodJ43++whyLymMZoArThJ7uzLwuns7m4hEFFcwxheybjjLnh\nr1jKqdXrOa3JyxcKv01u5gDGD55CbuYApjAqjtzXNTxePE3vkRVsorKgLycUnYuPDMexmg7crPFx\n5Xu8tDdt54Pgu/gLpjKt6HJy6QNEyXrVenQmJdFxoeb+wAnQ2DuO4FqRmev9MwA/kcJp9C3+CrQ2\nEQ7W83pBH84p+q6xjvkq7oPqB6FpNx2FUzvnROyZ4WA9rxX05oSic83vM1HbYsijH1MYRQNHyMSL\njwxTX9mV1UGYl3mH0ykxCH2tBNCK8FftIbn04TTGMJNxDGVgJ6m7dihN+I66ZNT9lKHHpys1HG/9\nZRd2riKn3Ph6JfLl6Q7/CClfYjioKz8M2+sSfFZ/9YTVer31aFHDLyhcL++VXWBynm0Rc4qvZM7X\nCnXSFNcOAzE/lqoNGyQR8WaqsPrB2fWZlfzY6bqPyufN+lz9szUiz8552rjH4ocUNz5jPjVt5Yvj\nqGT2hJoMwtSu1DkOWhSuG7JpN7DOXbsgmpZws+GUr48F9Vnxtf1YVhh9rPuIbpIdtqS01rm0SJ7s\npK8J14uU/ae0r/q6vFs2R3aF97lqj11fOP3WEm629V1NNF4TcfPp6Mq6pXxajf9rfoZxKbU+3BPn\nj+mWF09ERMJtZt/eWFS1rLrM8L20C4DQ54tbMmn1vUpqr/gEExH5ipj9/uwCQVokJDfKY65TlKm5\n3ZNKK4bjUaN0LHG89ZfSoumnmw7CbGQrxQymnbBxYjKlhYohUbobp75ym0JInfQp/g8omhWXnsZ0\nXYLP6oS+nJf5Cqexls1G2ik/2QzAz0SGMYJ8oz25nv7kNO2nTzAQNRMVzTSn+NLS1oCzlguASDu+\n6j9BpINwsJ7fFB/lVE9MSxDTyO08dIA/f2cwp866nMyFV8eZRN1A71f9vdrVSdVd+bZMZFh0DETa\nO7WEdKa36U5ETe5tCdN86f3pI4MJFLKMdcZ3Bw4coP+QEwzNRhEnRutfca+hgagvLOnUCGn+W+Hq\nB6iPNNAr0MCs4uvxt3nwb97K1NwpDMk5kRNPTK55i2tTpIHfev4R1f6EOuLThmmaOaU9TtbmZLDO\nXX/EQ72nxdD8APg8WTTsr2PIkCGGVlhd6/NkkUc/fGQwg7HMZBy59MFHBoPJpZBcxjKEZbFUTSPI\nN+a6+n1yrL7TYvWYymjyPSdA0268wUa8Badwf1HAVitmp/m36wvrb3fxHOWencyMpd9S39/HWkoZ\nbpviS5mJde29us/6jK6s8YbWVf0/lurufl7gNd5lAoX8jjW8Qg1vvbWG6Q9tgMxMpKGeh2e189Tg\n3XGaN70s01rr8ZrST/k9fpNWn6KZxppttDN2j115Tv2up966n3V8i89zEdPxk230lV6WtZw32M1Z\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0/Fp0WE2Idn5yTuaZroztrvh1Weuj0kOJxJueamSvLJSlKRM+xyEYlEDlq3G+jlbTo/V7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47QPI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\nXmExL7OEV0zjklmvIf8WftDK8Aa+olTbo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OTOMx2DtXBwLIFkdBNKjKIumqgJUMNequiL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\n1MKg6Dr4tB6M8+9jj7aH7/3/JlBbDrRMxt7vODFsIfMmwapVVK18NBxj1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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Wall time: 1.36 s\n" ] } ], "source": [ "%%time\n", "\n", "# get crime geo data\n", "crime_geo = crimes[['PrimaryType', 'Latitude', 'Longitude']].dropna()\n", "\n", "# get homicides\n", "homicides = crime_geo[(crime_geo['PrimaryType']=='HOMICIDE')]\\\n", ".compute()\n", "\n", "# get kidnappings\n", "kidnappings = crime_geo[(crime_geo['PrimaryType']=='KIDNAPPING')]\\\n", ".compute()\n", "\n", "# get criminal sexual assaults\n", "sexual_assaults = crime_geo[(crime_geo['PrimaryType']=='CRIM SEXUAL ASSAULT')]\\\n", ".compute()\n", "\n", "# get thefts\n", "thefts = crime_geo[(crime_geo['PrimaryType']=='THEFT')]\\\n", ".compute()\n", "\n", "# create scatter map plot\n", "%config InlineBackend.figure_format = 'png'\n", "fig,ax= plt.subplots(1, 1, figsize=(10,12))\n", "plt.xlim(41.65, 42.02) # (minLat, maxLat)\n", "plt.ylim(-87.78, -87.53) # (minLong, maxLong)\n", "#ax.set_facecolor('black')\n", "\n", "# plot thefts, homicides, kidnappings and sexual assaults\n", "ax.scatter(thefts['Latitude'], thefts['Longitude'],\\\n", " s=1, alpha=0.8, color='#66ff99', label='Theft')\n", "ax.scatter(homicides['Latitude'], homicides['Longitude'],\\\n", " s=10, alpha=0.8, color='#ff0000', label='Homicide')\n", "ax.scatter(kidnappings['Latitude'], kidnappings['Longitude'],\\\n", " s=10, alpha=0.8, color='#3333ff', label='Kidnapping')\n", "ax.scatter(sexual_assaults['Latitude'], sexual_assaults['Longitude'],\\\n", " s=8, alpha=0.8, color='#ff9933', label='Criminal Sexual Assault')\n", "plt.xlabel('Latitude')\n", "plt.ylabel('Longitude')\n", "plt.title('2017 Chicago Crime Map')\n", "plt.legend(loc='upper right', frameon=True)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python [conda root]", "language": "python", "name": "conda-root-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": "3.5.2" } }, "nbformat": 4, "nbformat_minor": 1 }