{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Crime Analytics in Seattle and San Francisco" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For this analysis, we have access to 2 months of real crime data for Summer 2014 in San Francisco and Seattle.\n", "\n", "* SF's data has been extracted from [their open-data portal](https://data.sfgov.org/Public-Safety/SFPD-Incidents-from-1-January-2003/tmnf-yvry) into this repository under **data/sanfrancisco_incidents_summer_2014.csv**\n", "* Seattle's data has been extracted from [their open-data portal](https://data.seattle.gov/Public-Safety/Seattle-Police-Department-Police-Report-Incident/7ais-f98f) into this repository under **data/sanfrancisco_incidents_summer_2014.csv**\n", "\n", "The goal of this study is to explore these cities' nightlife in a criminology context, to figure out which crimes are more frequent at night, which neighborhoods are most impacted, and how both cities compare.\n", "\n", "**Key findings**: Along this analysis, we discover the following facts which will be proven via 4 different visualizations:\n", "\n", "* Certain crime categories such as robberies, assault, theft, prostitution and drunkenness happen mostly in the evening/night in San Francisco.\n", "* These crimes happen mostly in the city center and southeast parts of San Francisco at night, but the west side is relatively safe at night.\n", "* Violent crimes such as assault happen as often at night in San Francisco as in Seattle (with a slight edge to San Francisco), but non-violent crimes happen more often in Seattle.\n", "\n", "I chose IPython notebook to perform this analysis for several reasons:\n", "\n", "* **Convenience**: I can run each cell independently, making it easy to go back and forth to rerun specific parts of my analysis without having to run everything from scratch.\n", "* **Reproducibility**: Anyone reading this notebook can easily take it and run it on their own machine directly without any extra work needed." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "YEAR = 2014\n", "PERIOD = \"summer\"\n", "TYPE = \"incidents\"\n", "DATA_DIR = \"data\"\n", "SF = \"sanfrancisco\"\n", "SEATTLE = \"seattle\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To do this analysis, we are using Python's excellent [pandas](http://pandas.pydata.org/) library which allows us to represent the data as **DataFrames** which makes subsequent analysis much easier than doing it by hand.\n", "\n", "Below we are creating 2 DataFrames:\n", "\n", "* `sf`: contains San Francisco's crime data for Summer 2014.\n", "* `seattle`: contains Seattle's crime data for Summer 2014." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Read SF data from data/sanfrancisco_incidents_summer_2014.csv yielded 28993 rows\n", "Read Seattle data from data/seattle_incidents_summer_2014.csv yielded 32779 rows\n" ] } ], "source": [ "# Load data into pandas DataFrames\n", "import os\n", "import pandas as pd\n", "\n", "sf_filename = os.path.join(DATA_DIR, \"%s_%s_%s_%d.csv\" % (SF, TYPE, PERIOD, YEAR))\n", "sf = pd.read_csv(sf_filename)\n", "sf_nrows = sf.shape[0]\n", "print \"Read SF data from %s yielded %d rows\" % (sf_filename, sf_nrows)\n", "\n", "seattle_filename = os.path.join(DATA_DIR, \"%s_%s_%s_%d.csv\" % (SEATTLE, TYPE, PERIOD, YEAR))\n", "seattle = pd.read_csv(seattle_filename)\n", "seattle_nrows = seattle.shape[0]\n", "print \"Read Seattle data from %s yielded %d rows\" % (seattle_filename, seattle_nrows)\n", "\n", "assert sf_nrows == len(open(sf_filename).readlines()) - 1 != 0\n", "assert seattle_nrows == len(open(seattle_filename).readlines()) - 1 != 0" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As with any data analysis task, we start by sampling some random data in `sf` to just look at it and get a feeling on what we can get out of it.\n", "\n", "For example, we can see that some columns are not really useful for what we try to accomplish, like `IncidntNum` or `PdId` which are just SFPD internal IDs.\n", "And on the other hand, some data like `X` or `Y` will be useful for any kind of geospatial analysis, as will the `Date` and `Time` for temporal analysis." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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IncidntNumCategoryDescriptDayOfWeekDateTimePdDistrictResolutionAddressXYLocationPdId
11353140626439ASSAULTBATTERYMonday07/28/201414:38SOUTHERNNONE900 Block of MARKET ST-122.40970837.782828(37.7828276498838, -122.409708423721)14062643904134
21994140525665VEHICLE THEFTSTOLEN AUTOMOBILETuesday06/24/201419:00TARAVALNONE1600 Block of 33RD AV-122.49160037.756361(37.7563610441277, -122.491600474332)14052566507021
14276140605091NON-CRIMINALFOUND PROPERTYSaturday07/19/201414:00RICHMONDNONE700 Block of 14TH AV-122.47243437.774026(37.774025728225, -122.472433685031)14060509172000
5391140682845ASSAULTTHREATS AGAINST LIFEFriday08/15/201412:30SOUTHERNNONE100 Block of 6TH ST-122.40846737.780701(37.7807008318778, -122.408466556173)14068284519057
26867140475402ASSAULTBATTERYSaturday06/07/201420:40SOUTHERNNONEMARKET ST / 5TH ST-122.40806837.783992(37.7839916768161, -122.408068345148)14047540204134
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" ], "text/plain": [ " IncidntNum Category Descript DayOfWeek Date \\\n", "11353 140626439 ASSAULT BATTERY Monday 07/28/2014 \n", "21994 140525665 VEHICLE THEFT STOLEN AUTOMOBILE Tuesday 06/24/2014 \n", "14276 140605091 NON-CRIMINAL FOUND PROPERTY Saturday 07/19/2014 \n", "5391 140682845 ASSAULT THREATS AGAINST LIFE Friday 08/15/2014 \n", "26867 140475402 ASSAULT BATTERY Saturday 06/07/2014 \n", "\n", " Time PdDistrict Resolution Address X \\\n", "11353 14:38 SOUTHERN NONE 900 Block of MARKET ST -122.409708 \n", "21994 19:00 TARAVAL NONE 1600 Block of 33RD AV -122.491600 \n", "14276 14:00 RICHMOND NONE 700 Block of 14TH AV -122.472434 \n", "5391 12:30 SOUTHERN NONE 100 Block of 6TH ST -122.408467 \n", "26867 20:40 SOUTHERN NONE MARKET ST / 5TH ST -122.408068 \n", "\n", " Y Location PdId \n", "11353 37.782828 (37.7828276498838, -122.409708423721) 14062643904134 \n", "21994 37.756361 (37.7563610441277, -122.491600474332) 14052566507021 \n", "14276 37.774026 (37.774025728225, -122.472433685031) 14060509172000 \n", "5391 37.780701 (37.7807008318778, -122.408466556173) 14068284519057 \n", "26867 37.783992 (37.7839916768161, -122.408068345148) 14047540204134 " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sf.sample(n=5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We do the same for `seattle` and there are 2 important things to notice here:\n", "\n", "* Similarly to `sf`, several columns are not useful and can be discarded.\n", "* Some columns have the same meaning as in `sf` but are called differently, like `Longitude` and `Latitude` which correspond respectively to `X` and `Y` in `sf`.\n", "* The schema is completely different from `sf`, and in this state making comparisons between the 2 cities will be hard." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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RMS CDW IDGeneral Offense NumberOffense CodeOffense Code ExtensionOffense TypeSummary Offense CodeSummarized Offense DescriptionDate ReportedOccurred Date or Date Range StartOccurred Date Range EndHundred Block LocationDistrict/SectorZone/BeatCensus Tract 2000LongitudeLatitudeLocationMonthYear
262821100244201419726722020BURGLARY-FORCE-RES2200BURGLARY06/20/2014 01:39:00 PM06/20/2014 01:39:00 PMNaN72XX BLOCK OF 33 AV SOO311000.3000-122.28997247.537709(47.537708622, -122.289972172)62014
176137280201428829812060ROBBERY-STREET-BODYFORCE1200ROBBERY08/29/2014 10:51:00 AM08/25/2014 11:00:00 PMNaN5XX BLOCK OF S JACKSON STKK39200.1012-122.32701447.599194(47.599193846, -122.327013757)82014
5021058046201429921223993THEFT-OTH2300OTHER PROPERTY09/07/2014 02:03:00 PM06/09/2014 12:00:00 AM06/10/2014 11:59:00 PM42XX BLOCK OF SUNNYSIDE AV NJJ35100.2007-122.33020247.658529(47.658529234, -122.330201991)62014
117731040385201425053223991THEFT-BICYCLE2300BIKE THEFT07/30/2014 06:50:00 PM07/30/2014 10:30:00 AM07/30/2014 11:55:00 AM14XX BLOCK OF NE 66 STUU12600.3005-122.31254047.676512(47.67651215, -122.312540197)72014
2419851700201420472729030PROPERTY DAMAGE-NON RESIDENTIA2900PROPERTY DAMAGE06/26/2014 05:53:00 AM06/26/2014 05:53:00 AM06/26/2014 05:53:00 AM130XX BLOCK OF LAKE CITY WY NELL3100.3002-122.29284147.723795(47.723795094, -122.292840975)62014
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" ], "text/plain": [ " RMS CDW ID General Offense Number Offense Code \\\n", "26282 1100244 2014197267 2202 \n", "1761 37280 2014288298 1206 \n", "502 1058046 2014299212 2399 \n", "11773 1040385 2014250532 2399 \n", "24198 51700 2014204727 2903 \n", "\n", " Offense Code Extension Offense Type \\\n", "26282 0 BURGLARY-FORCE-RES \n", "1761 0 ROBBERY-STREET-BODYFORCE \n", "502 3 THEFT-OTH \n", "11773 1 THEFT-BICYCLE \n", "24198 0 PROPERTY DAMAGE-NON RESIDENTIA \n", "\n", " Summary Offense Code Summarized Offense Description \\\n", "26282 2200 BURGLARY \n", "1761 1200 ROBBERY \n", "502 2300 OTHER PROPERTY \n", "11773 2300 BIKE THEFT \n", "24198 2900 PROPERTY DAMAGE \n", "\n", " Date Reported Occurred Date or Date Range Start \\\n", "26282 06/20/2014 01:39:00 PM 06/20/2014 01:39:00 PM \n", "1761 08/29/2014 10:51:00 AM 08/25/2014 11:00:00 PM \n", "502 09/07/2014 02:03:00 PM 06/09/2014 12:00:00 AM \n", "11773 07/30/2014 06:50:00 PM 07/30/2014 10:30:00 AM \n", "24198 06/26/2014 05:53:00 AM 06/26/2014 05:53:00 AM \n", "\n", " Occurred Date Range End Hundred Block Location District/Sector \\\n", "26282 NaN 72XX BLOCK OF 33 AV S O \n", "1761 NaN 5XX BLOCK OF S JACKSON ST K \n", "502 06/10/2014 11:59:00 PM 42XX BLOCK OF SUNNYSIDE AV N J \n", "11773 07/30/2014 11:55:00 AM 14XX BLOCK OF NE 66 ST U \n", "24198 06/26/2014 05:53:00 AM 130XX BLOCK OF LAKE CITY WY NE L \n", "\n", " Zone/Beat Census Tract 2000 Longitude Latitude \\\n", "26282 O3 11000.3000 -122.289972 47.537709 \n", "1761 K3 9200.1012 -122.327014 47.599194 \n", "502 J3 5100.2007 -122.330202 47.658529 \n", "11773 U1 2600.3005 -122.312540 47.676512 \n", "24198 L3 100.3002 -122.292841 47.723795 \n", "\n", " Location Month Year \n", "26282 (47.537708622, -122.289972172) 6 2014 \n", "1761 (47.599193846, -122.327013757) 8 2014 \n", "502 (47.658529234, -122.330201991) 6 2014 \n", "11773 (47.67651215, -122.312540197) 7 2014 \n", "24198 (47.723795094, -122.292840975) 6 2014 " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "seattle.sample(n=5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "At that point it becomes clear that, before we can do any kind of meaningful data exploration and analysis, we need to pre-process the data. In particular, the following tasks will be required:\n", "\n", "* Get rid of columns that do not bring any value for our goals.\n", "* Rename columns so that identical fields are called the same in both DataFrames.\n", "* Process existing columns to extra new features that will be used for our analysis." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data Preprocessing and Normalization" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### San Francisco" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are several columns in `sf` that have data mapping to other columns in `seattle`, but they are called differently. Specifically:\n", "\n", "* `X` in `sf` has a 1:1 relationship to `Longitude` in `seattle`.\n", "* `Y` in `sf` has a 1:1 relationship to `Latitude` in `seattle`.\n", "* `PdDistrict` in `sf` has a 1:1 relationship to `District/Sector` in `seattle`. To simplify we want to name both `District`.\n", "* `Descript` in `sf` has a 1:1 relationship to `Summarized Offense Description` in `seattle`. To simplify we want to name both `Description`.\n", "\n", "So in a first step, we will modify `sf` to rename these columns in place." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": true }, "outputs": [], "source": [ "sf.rename(columns = {\"X\": \"Longitude\", \"Y\": \"Latitude\", \"PdDistrict\": \"District\", \"Descript\": \"Description\"}, \n", " inplace=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next we want to take the existing columns, process them, and extract new features which may or may not be useful during our data exploration process later on. In particular:\n", "\n", "* Since we are trying to get both `sf` and `seattle` normalized so they can fit in a single unified DataFrame, we need to indicate for each row the `City` so that we can later one have control on which city we're processing.\n", "* We have the `Date` field in format _mm/dd/yyyy_, but if we're doing temporal analysis it would be useful to have access to individual units separately, so we'd want to have 1 column being the `DayOfMonth`, another one the `Month` and a last one the `Year`." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": true }, "outputs": [], "source": [ "sf[\"City\"] = pd.Series([SF]*sf.shape[0], index=sf.index)\n", "sf[\"DayOfMonth\"] = sf.Date.map(lambda x: int(x.split(\"/\")[1]))\n", "sf[\"Month\"] = sf.Date.map(lambda x: int(x.split(\"/\")[0]))\n", "sf[\"Year\"] = sf.Date.map(lambda x: int(x.split(\"/\")[2]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Another feature we want to extract is the `TimeBin`. We currently have access to the time of each incident under `Time` in format _HH:MM_, but if we want to perform time-based aggregation this is not very convenient.\n", "\n", "Instead, what we want is to just keep the hour of the incident, and add it to the `TimeBin`. Like that we have an integer representation of the time which is easier to visualize and work with, and we can aggregate hourly data very easily." ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Function that takes a Time as HH:MM and returns an int representing the hour\n", "def time_bin(t, bin_size=30):\n", " hour, mins = t.split(\":\")\n", " return int(hour)\n", " \n", "sf[\"TimeBin\"] = sf.Time.map(time_bin)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that we have all our new features, we just need to `drop` the columns that are not useful for us. We will drop the following columns:\n", "\n", "* `IncidntNum`: A SFPD internal ID which we can't make use of.\n", "* `PdId`: Another SFPD internal ID.\n", "* `Location`: This is just a combination of columns `X` and `Y` and is redundant.\n", "* `Resolution`: While this tells an interesting story (how the case concluded), there is no such data in `seattle`, so we will not use that." ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": true }, "outputs": [], "source": [ "sf.drop([\"IncidntNum\", \"PdId\", \"Location\", \"Resolution\"], axis=1, inplace=True, errors=\"ignore\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We now have everything we need in `sf`, we simply need to create a new DataFrame `sf_normalized` that will have a specific order of the columns. This is because `seattle` has a completely different order, so we want to make sure both DataFrames will have the exact same schema so we can fit them into a single DataFrame ultimately." ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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CityDayOfMonthDayOfWeekMonthYearTimeTimeBinLongitudeLatitudeAddressDistrictCategoryDescription
1062sanfrancisco28Thursday8201421:3021-122.40653737.791342600 Block of PINE STCENTRALLARCENY/THEFTGRAND THEFT FROM UNLOCKED AUTO
5018sanfrancisco16Saturday8201414:3014-122.40668337.766476200 Block of UTAH STMISSIONLARCENY/THEFTGRAND THEFT OF PROPERTY
15827sanfrancisco14Monday7201412:0012-122.40137837.789264MARKET ST / 2ND STSOUTHERNNON-CRIMINALLOST PROPERTY
25030sanfrancisco14Saturday6201412:5112-122.40979737.786422300 Block of MASON STTENDERLOINVEHICLE THEFTSTOLEN AND RECOVERED VEHICLE
18134sanfrancisco6Sunday7201420:1020-122.39168637.779769100 Block of TOWNSEND STSOUTHERNLARCENY/THEFTGRAND THEFT FROM LOCKED AUTO
\n", "
" ], "text/plain": [ " City DayOfMonth DayOfWeek Month Year Time TimeBin \\\n", "1062 sanfrancisco 28 Thursday 8 2014 21:30 21 \n", "5018 sanfrancisco 16 Saturday 8 2014 14:30 14 \n", "15827 sanfrancisco 14 Monday 7 2014 12:00 12 \n", "25030 sanfrancisco 14 Saturday 6 2014 12:51 12 \n", "18134 sanfrancisco 6 Sunday 7 2014 20:10 20 \n", "\n", " Longitude Latitude Address District \\\n", "1062 -122.406537 37.791342 600 Block of PINE ST CENTRAL \n", "5018 -122.406683 37.766476 200 Block of UTAH ST MISSION \n", "15827 -122.401378 37.789264 MARKET ST / 2ND ST SOUTHERN \n", "25030 -122.409797 37.786422 300 Block of MASON ST TENDERLOIN \n", "18134 -122.391686 37.779769 100 Block of TOWNSEND ST SOUTHERN \n", "\n", " Category Description \n", "1062 LARCENY/THEFT GRAND THEFT FROM UNLOCKED AUTO \n", "5018 LARCENY/THEFT GRAND THEFT OF PROPERTY \n", "15827 NON-CRIMINAL LOST PROPERTY \n", "25030 VEHICLE THEFT STOLEN AND RECOVERED VEHICLE \n", "18134 LARCENY/THEFT GRAND THEFT FROM LOCKED AUTO " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Reindex the DataFrame\n", "columns_index = [\"City\", \"DayOfMonth\", \"DayOfWeek\", \"Month\", \"Year\", \"Time\", \"TimeBin\",\n", " \"Longitude\", \"Latitude\", \"Address\", \"District\", \n", " \"Category\", \"Description\"\n", " ]\n", "sf_normalized = sf[columns_index]\n", "sf_normalized.sample(n=5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Seattle" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We need to go through the same process for `seattle`. As a first step, let's drop the following columns:\n", "\n", "* `RMS CDW ID`: A SeattlePD internal ID, no use for us.\n", "* `General Offense Number`: A unique number for each incident. Seems to be a function of the date, but we don't need it.\n", "* `Offense Code`: A unique number identifying each type of offense. This maps to `Offense Type` but is less expressive, so we get rid of it.\n", "* `Offense Code Extension`: Some ID, probably SeattlePD internal stuff.\n", "* `Census Tract 2000`: Census information which is not relevant for our analysis.\n", "* `Location`: This is just a combination of columns `Longitude` and `Latitude` and is redundant." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": true }, "outputs": [], "source": [ "seattle_drop_columns = [\"RMS CDW ID\", \n", " \"General Offense Number\", \n", " \"Offense Code\", \n", " \"Offense Code Extension\", \n", " \"Summary Offense Code\",\n", " \"Census Tract 2000\",\n", " \"Location\"\n", " ]\n", "seattle.drop(seattle_drop_columns, axis=1, inplace=True, errors=\"ignore\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next we rename the columns which have a different name in `sf`:\n", "\n", "* `Hundred Block Location` in `seattle` is similar to `Address` in `sf`.\n", "* `Offense Type` in `seattle` is similar to `Category` in `sf`.\n", "* We want to rename `Summarized Offense Description` to `Description` to make it simpler, like mentioned earlier.\n", "* We want to rename `District/Sector` to `District` to make it simpler, like mentioned earlier." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": true }, "outputs": [], "source": [ "seattle.rename(columns = {\"Hundred Block Location\": \"Address\", \"Offense Type\": \"Category\", \n", " \"Summarized Offense Description\": \"Description\",\n", " \"District/Sector\": \"District\"}, \n", " inplace=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally we want to create new features for our analysis, similarly to what we did in `sf`:\n", "\n", "* `City` should always be `seattle`.\n", "* For temporal features, there are multiple choices. We could consider the occurrence date (`Occurred Date or Date Range Start`), or reported date (`Date Reported`). By looking at the data we see the date reported is sometimes many months after the alleged occurrence date, so we use the start range of the alleged occurred data for any temporal measure. From that we will create new features `DayOfMonth`, `DayOfWeek`, `Time` and `TimeBin` to match `sf` schema." ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import datetime\n", "\n", "seattle[\"City\"] = pd.Series([SEATTLE]*seattle.shape[0], index=seattle.index)\n", "seattle[\"DayOfMonth\"] = seattle[\"Occurred Date or Date Range Start\"].map(lambda x: int(x.split(\" \")[0].split(\"/\")[1]))\n", "seattle[\"DayOfWeek\"] = seattle[\"Occurred Date or Date Range Start\"] \\\n", " .map(lambda x: datetime.datetime.strptime(x.split(\" \")[0], \"%m/%d/%Y\").strftime(\"%A\"))\n", "seattle[\"Time\"] = seattle[\"Occurred Date or Date Range Start\"] \\\n", " .map(lambda x: datetime.datetime.strptime(x[11:], \"%I:%M:%S %p\").strftime(\"%H:%M\"))\n", "seattle[\"TimeBin\"] = seattle.Time.map(time_bin)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we just need to reindex our DataFrame under a new one called `seattle_normalized`." ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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CityDayOfMonthDayOfWeekMonthYearTimeTimeBinLongitudeLatitudeAddressDistrictCategoryDescription
30353seattle6Friday6201421:0021-122.33956847.720939125XX BLOCK OF ASHWORTH AV NNTHEFT-CARPROWLCAR PROWL
752seattle16Monday6201406:006-122.33429147.624539FAIRVIEW AV N / MERCER STDTHEFT-OTHOTHER PROPERTY
13492seattle25Friday7201418:2418-122.34801547.52556786XX BLOCK OF 10 AV SWFBURGLARY-FORCE-RESBURGLARY
32716seattle1Sunday6201409:579-122.36069947.69694992XX BLOCK OF 3 AV NWNBURGLARY-FORCE-RESBURGLARY
23728seattle27Friday6201411:5011-122.33845047.60878914XX BLOCK OF 2 AVMTHEFT-CARPROWLCAR PROWL
\n", "
" ], "text/plain": [ " City DayOfMonth DayOfWeek Month Year Time TimeBin Longitude \\\n", "30353 seattle 6 Friday 6 2014 21:00 21 -122.339568 \n", "752 seattle 16 Monday 6 2014 06:00 6 -122.334291 \n", "13492 seattle 25 Friday 7 2014 18:24 18 -122.348015 \n", "32716 seattle 1 Sunday 6 2014 09:57 9 -122.360699 \n", "23728 seattle 27 Friday 6 2014 11:50 11 -122.338450 \n", "\n", " Latitude Address District Category \\\n", "30353 47.720939 125XX BLOCK OF ASHWORTH AV N N THEFT-CARPROWL \n", "752 47.624539 FAIRVIEW AV N / MERCER ST D THEFT-OTH \n", "13492 47.525567 86XX BLOCK OF 10 AV SW F BURGLARY-FORCE-RES \n", "32716 47.696949 92XX BLOCK OF 3 AV NW N BURGLARY-FORCE-RES \n", "23728 47.608789 14XX BLOCK OF 2 AV M THEFT-CARPROWL \n", "\n", " Description \n", "30353 CAR PROWL \n", "752 OTHER PROPERTY \n", "13492 BURGLARY \n", "32716 BURGLARY \n", "23728 CAR PROWL " ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Reindex the DataFrame\n", "seattle_normalized = seattle[columns_index]\n", "seattle_normalized.sample(n=5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "At that point, we have 2 DataFrames `sf_normalized` and `seattle_normalized` with matching schemas, but we're not done yet.\n", "\n", "A particularly important column to analyze distribution of crime data is the `Category`. Unfortunately for us, Seattle and San Francisco police departments have very different ways to label incidents which don't match at all. For example, offenses related to drug trafficking are labelled `DRUG/NARCOTIC` in San Francisco, but in Seattle this is much more granular and there are more than 20 different labels for drug traffick offenses. The problem is that if we need to compare crime categories, if granularity is more different in 1 city then aggregated numbers won't mean anything.\n", "\n", "As a result, we need to manually go through the crime categories and see how they map between the 2 cities. Since San Francisco categories are fewer and cover more ground, we will use San Francisco categories as the baseline, and try to map all of Seattle's crime categories into San Francisco categories namespace.\n", "\n", "For example, we can say that Seattle's `ASSLT-AGG-WEAPON` matches San Francisco's `ASSAULT` category." ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "SF crime categories: ARSON,ASSAULT,BRIBERY,BURGLARY,DISORDERLY CONDUCT,DRIVING UNDER THE INFLUENCE,DRUG/NARCOTIC,DRUNKENNESS,EMBEZZLEMENT,EXTORTION,FAMILY OFFENSES,FORGERY/COUNTERFEITING,FRAUD,GAMBLING,KIDNAPPING,LARCENY/THEFT,LIQUOR LAWS,LOITERING,MISSING PERSON,NON-CRIMINAL,OTHER OFFENSES,PORNOGRAPHY/OBSCENE MAT,PROSTITUTION,ROBBERY,RUNAWAY,SECONDARY CODES,STOLEN PROPERTY,SUICIDE,SUSPICIOUS OCC,TRESPASS,VANDALISM,VEHICLE THEFT,WARRANTS,WEAPON LAWS\n", "Seattle crime categories: ARSON,ASSAULT,BURGLARY,DISORDERLY CONDUCT,DRIVING UNDER THE INFLUENCE,DRUG/NARCOTIC,EMBEZZLEMENT,FORGERY/COUNTERFEITING,FRAUD,LARCENY/THEFT,LIQUOR LAWS,NON-CRIMINAL,OTHER OFFENSES,PORNOGRAPHY/OBSCENE MAT,PROSTITUTION,ROBBERY,RUNAWAY,STOLEN PROPERTY,TRESPASS,VANDALISM,VEHICLE THEFT,WARRANTS,WEAPON LAWS\n" ] } ], "source": [ "category_subset = {\n", " \"RECKLESS BURNING\": \"ARSON\",\n", " \"THEFT-OTH\": \"LARCENY/THEFT\",\n", " \"BURGLARY-FORCE-NONRES\": \"BURGLARY\",\n", " \"INJURY - ACCIDENTAL\": \"OTHER OFFENSES\",\n", " \"ANIMAL-BITE\": \"OTHER OFFENSES\",\n", " \"ANIMAL-CRUELTY\": \"OTHER OFFENSES\",\n", " \"ANIMAL-OTH\": \"OTHER OFFENSES\",\n", " \"ASSLT-AGG-BODYFORCE\": \"ASSAULT\",\n", " \"ASSLT-AGG-GUN\": \"ASSAULT\",\n", " \"ASSLT-AGG-POLICE-BODYFORCE\": \"ASSAULT\",\n", " \"ASSLT-AGG-POLICE-GUN\": \"ASSAULT\",\n", " \"ASSLT-AGG-POLICE-WEAPON\": \"ASSAULT\",\n", " \"ASSLT-AGG-WEAPON\": \"ASSAULT\",\n", " \"ASSLT-NONAGG\": \"ASSAULT\",\n", " \"ASSLT-NONAGG-POLICE\": \"ASSAULT\",\n", " \"BIAS INCIDENT\": \"NON-CRIMINAL\",\n", " \"BURGLARY-FORCE-RES\": \"BURGLARY\",\n", " \"BURGLARY-NOFORCE-NONRES\": \"BURGLARY\",\n", " \"BURGLARY-NOFORCE-RES\": \"BURGLARY\",\n", " \"BURGLARY-SECURE PARKING-NONRES\": \"BURGLARY\",\n", " \"BURGLARY-SECURE PARKING-RES\": \"BURGLARY\",\n", " \"COUNTERFEIT\": \"FORGERY/COUNTERFEITING\",\n", " \"DISPUTE-CIVIL PROPERTY (AUTO)\": \"NON-CRIMINAL\",\n", " \"DISPUTE-CIVIL PROPERTY (NON AU\": \"NON-CRIMINAL\",\n", " \"DISPUTE-OTH\": \"NON-CRIMINAL\",\n", " \"DISTURBANCE-NOISE\": \"NON-CRIMINAL\",\n", " \"DISTURBANCE-OTH\": \"NON-CRIMINAL\",\n", " \"DRIVE-BY\": \"OTHER OFFENSES\",\n", " \"DUI-DRUGS\": \"DRIVING UNDER THE INFLUENCE\",\n", " \"DUI-LIQUOR\": \"DRIVING UNDER THE INFLUENCE\",\n", " \"ELUDING-FELONY FLIGHT\": \"RUNAWAY\",\n", " \"EMBEZZLE\": \"EMBEZZLEMENT\",\n", " \"ENDANGERMENT\": \"OTHER OFFENSES\",\n", " \"ESCAPE\": \"RUNAWAY\",\n", " \"FALSE REPORT\": \"OTHER OFFENSES\",\n", " \"FIREWORK-POSSESS\": \"OTHER OFFENSES\",\n", " \"FIREWORK-USE\": \"OTHER OFFENSES\",\n", " \"FORGERY-CHECK\": \"FORGERY/COUNTERFEITING\",\n", " \"FORGERY-CREDIT CARD\": \"FORGERY/COUNTERFEITING\",\n", " \"FORGERY-OTH\": \"FORGERY/COUNTERFEITING\",\n", " \"FRAUD-CHECK\": \"FRAUD\",\n", " \"FRAUD-COMPUTER\": \"FRAUD\",\n", " \"FRAUD-CREDIT CARD\": \"FRAUD\",\n", " \"FRAUD-IDENTITY THEFT\": \"FRAUD\",\n", " \"FRAUD-OTHER\": \"FRAUD\",\n", " \"FRAUD-WIRE-ELECTRONIC\": \"FRAUD\",\n", " \"HARASSMENT\": \"DISORDERLY CONDUCT\",\n", " \"HOMICIDE-JUST-GUN\": \"ASSAULT\",\n", " \"HOMICIDE-JUST-WEAPON\": \"ASSAULT\",\n", " \"HOMICIDE-PREMEDITATED-GUN\": \"ASSAULT\",\n", " \"ILLEGAL DUMPING\": \"NON-CRIMINAL\",\n", " \"INJURY - OTHER\": \"OTHER OFFENSES\",\n", " \"LIQUOR LAW VIOLATION\": \"LIQUOR LAWS\",\n", " \"MALICIOUS HARASSMENT\": \"DISORDERLY CONDUCT\",\n", " \"NARC-DRUG TRAFFIC LOITERING\": \"DRUG/NARCOTIC\",\n", " \"NARC-EQUIPMENT/PARAPHENALIA\": \"DRUG/NARCOTIC\",\n", " \"NARC-FORGERY-PRESCRIPTION\": \"DRUG/NARCOTIC\",\n", " \"NARC-FOUND-AMPHETAMINE\": \"DRUG/NARCOTIC\",\n", " \"NARC-FOUND-COCAINE\": \"DRUG/NARCOTIC\",\n", " \"NARC-FOUND-HEROIN\": \"DRUG/NARCOTIC\",\n", " \"NARC-FOUND-MARIJU\": \"DRUG/NARCOTIC\",\n", " \"NARC-FOUND-METH\": \"DRUG/NARCOTIC\",\n", " \"NARC-FOUND-OPIUM\": \"DRUG/NARCOTIC\",\n", " \"NARC-FOUND-OTHER\": \"DRUG/NARCOTIC\",\n", " \"NARC-FOUND-SYNTHETIC\": \"DRUG/NARCOTIC\",\n", " \"NARC-FRAUD-PRESCRIPTION\": \"DRUG/NARCOTIC\",\n", " \"NARC-POSSESS-AMPHETAMINE\": \"DRUG/NARCOTIC\",\n", " \"NARC-POSSESS-COCAINE\": \"DRUG/NARCOTIC\",\n", " \"NARC-POSSESS-HALLUCINOGEN\": \"DRUG/NARCOTIC\",\n", " \"NARC-POSSESS-HEROIN\": \"DRUG/NARCOTIC\",\n", " \"NARC-POSSESS-MARIJU\": \"DRUG/NARCOTIC\",\n", " \"NARC-POSSESS-METH\": \"DRUG/NARCOTIC\",\n", " \"NARC-POSSESS-OTHER\": \"DRUG/NARCOTIC\",\n", " \"NARC-POSSESS-PILL/TABLET\": \"DRUG/NARCOTIC\",\n", " \"NARC-PRODUCE-MARIJU\": \"DRUG/NARCOTIC\",\n", " \"NARC-SELL-AMPHETAMINE\": \"DRUG/NARCOTIC\",\n", " \"NARC-SELL-COCAINE\": \"DRUG/NARCOTIC\",\n", " \"NARC-SELL-HEROIN\": \"DRUG/NARCOTIC\",\n", " \"NARC-SELL-MARIJU\": \"DRUG/NARCOTIC\",\n", " \"NARC-SELL-METH\": \"DRUG/NARCOTIC\",\n", " \"NARC-SELL-SYNTHETIC\": \"DRUG/NARCOTIC\",\n", " \"NARC-SMUGGLE-OTHER\": \"DRUG/NARCOTIC\",\n", " \"OBSTRUCT\": \"OTHER OFFENSES\",\n", " \"PORNOGRAPHY-OBSCENE MATERIAL\": \"PORNOGRAPHY/OBSCENE MAT\",\n", " \"PROP RECOVERED-OTHER AGENCY\": \"STOLEN PROPERTY\",\n", " \"PROPERTY DAMAGE - GRAFFITI\": \"VANDALISM\",\n", " \"PROPERTY DAMAGE-NON RESIDENTIA\": \"VANDALISM\",\n", " \"PROPERTY DAMAGE-RESIDENTIAL\": \"VANDALISM\",\n", " \"PROPERTY FOUND\": \"STOLEN PROPERTY\",\n", " \"PROPERTY LOST\": \"STOLEN PROPERTY\",\n", " \"PROPERTY LOST - POLICE EQUIPME\": \"STOLEN PROPERTY\",\n", " \"PROPERTY STOLEN-POSSESS\": \"STOLEN PROPERTY\",\n", " \"PROPERTY STOLEN-SELL\": \"STOLEN PROPERTY\",\n", " \"PROPERTY STOLEN-TRAFFICKING\": \"STOLEN PROPERTY\",\n", " \"PROSTITUTION LOITERING\": \"PROSTITUTION\",\n", " \"PROSTITUTION PATRONIZING\": \"PROSTITUTION\",\n", " \"PROSTITUTION-ASSIST-PROMOTE\": \"PROSTITUTION\",\n", " \"ROBBERY-BANK-BODYFORCE\": \"ROBBERY\",\n", " \"ROBBERY-BANK-GUN\": \"ROBBERY\",\n", " \"ROBBERY-BANK-WEAPON\": \"ROBBERY\",\n", " \"ROBBERY-BUSINESS-BODYFORCE\": \"ROBBERY\",\n", " \"ROBBERY-BUSINESS-GUN\": \"ROBBERY\",\n", " \"ROBBERY-BUSINESS-WEAPON\": \"ROBBERY\",\n", " \"ROBBERY-RESIDENCE-BODYFORCE\": \"ROBBERY\",\n", " \"ROBBERY-RESIDENCE-GUN\": \"ROBBERY\",\n", " \"ROBBERY-RESIDENCE-WEAPON\": \"ROBBERY\",\n", " \"ROBBERY-STREET-BODYFORCE\": \"ROBBERY\",\n", " \"ROBBERY-STREET-GUN\": \"ROBBERY\",\n", " \"ROBBERY-STREET-WEAPON\": \"ROBBERY\",\n", " \"THEFT OF SERVICES\": \"LARCENY/THEFT\",\n", " \"THEFT-AUTO PARTS\": \"LARCENY/THEFT\",\n", " \"THEFT-AUTOACC\": \"LARCENY/THEFT\",\n", " \"THEFT-BICYCLE\": \"LARCENY/THEFT\",\n", " \"THEFT-BOAT\": \"LARCENY/THEFT\",\n", " \"THEFT-BUILDING\": \"LARCENY/THEFT\",\n", " \"THEFT-CARPROWL\": \"LARCENY/THEFT\",\n", " \"THEFT-COINOP\": \"LARCENY/THEFT\",\n", " \"THEFT-LICENSE PLATE\": \"LARCENY/THEFT\",\n", " \"THEFT-MAIL\": \"LARCENY/THEFT\",\n", " \"THEFT-PKPOCKET\": \"LARCENY/THEFT\",\n", " \"THEFT-PRSNATCH\": \"LARCENY/THEFT\",\n", " \"THEFT-SHOPLIFT\": \"LARCENY/THEFT\",\n", " \"THREATS-KILL\": \"ASSAULT\",\n", " \"THREATS-OTHER\": \"OTHER OFFENSES\",\n", " \"THREATS-WEAPON\": \"ASSAULT\",\n", " \"TRAFFIC\": \"OTHER OFFENSES\",\n", " \"URINATING/DEFECATING-IN PUBLIC\": \"DISORDERLY CONDUCT\",\n", " \"VEH-RCVD-FOR OTHER AGENCY\": \"VEHICLE THEFT\",\n", " \"VEH-THEFT-AUTO\": \"VEHICLE THEFT\",\n", " \"VEH-THEFT-MTRCYCLE\": \"VEHICLE THEFT\",\n", " \"VEH-THEFT-OTHVEH\": \"VEHICLE THEFT\",\n", " \"VEH-THEFT-TRAILER\": \"VEHICLE THEFT\",\n", " \"VEH-THEFT-TRUCK\": \"VEHICLE THEFT\",\n", " \"VIOL-COURT ORDER\": \"OTHER OFFENSES\",\n", " \"WARRANT-FUGITIVE\": \"WARRANTS\",\n", " \"WARRARR-FELONY\": \"WARRANTS\",\n", " \"WARRARR-MISDEMEANOR\": \"WARRANTS\",\n", " \"WEAPON-CONCEALED\": \"WEAPON LAWS\",\n", " \"WEAPON-DISCHARGE\": \"WEAPON LAWS\",\n", " \"WEAPON-POSSESSION\": \"WEAPON LAWS\",\n", " \"WEAPON-SELLING\": \"WEAPON LAWS\",\n", " \"WEAPON-SURRENDER-EXCLUDING FIR\": \"WEAPON LAWS\",\n", " \"WEAPON-UNLAWFUL USE\": \"WEAPON LAWS\",\n", " \"[INC - CASE DC USE ONLY]\": \"OTHER OFFENSES\"\n", "}\n", "for category, subset in category_subset.iteritems():\n", " seattle_normalized.loc[seattle_normalized[\"Category\"] == category, \"Category\"] = subset\n", "\n", "sf_categories = set(sf_normalized[\"Category\"].tolist())\n", "seattle_categories = set(seattle_normalized[\"Category\"].tolist())\n", "print \"SF crime categories: %s\" % \",\".join(sorted(sf_categories))\n", "print \"Seattle crime categories: %s\" % \",\".join(sorted(seattle_categories))\n", "assert seattle_categories <= sf_categories" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally we have `sf_normalized` and `seattle_normalized` with a common schema and common category namespace. At that point we have everything we need, and we just need to create a final DataFrame called `dataset` which will be the concatenation of both `sf_normalized` and `seattle_normalized`." ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total number of rows after union: 61772\n" ] }, { "data": { "text/html": [ "
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CityDayOfMonthDayOfWeekMonthYearTimeTimeBinLongitudeLatitudeAddressDistrictCategoryDescription
4883sanfrancisco16Saturday8201421:2221-122.40688737.788735300 Block of STOCKTON STCENTRALLARCENY/THEFTGRAND THEFT FROM A BUILDING
16842sanfrancisco11Friday7201400:010-122.46594337.750908500 Block of PACHECO STTARAVALLARCENY/THEFTGRAND THEFT FROM LOCKED AUTO
22043sanfrancisco24Tuesday6201416:1016-122.47410337.743174700 Block of TARAVAL STTARAVALASSAULTAGGRAVATED ASSAULT WITH A DEADLY WEAPON
14909sanfrancisco17Thursday7201414:0014-122.45000137.728418300 Block of JUDSON AVINGLESIDEWARRANTSENROUTE TO OUTSIDE JURISDICTION
26823sanfrancisco7Saturday6201423:0023-122.44327337.723086OCEAN AV / DELANO AVINGLESIDELARCENY/THEFTPETTY THEFT FROM LOCKED AUTO
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" ], "text/plain": [ " City DayOfMonth DayOfWeek Month Year Time TimeBin \\\n", "4883 sanfrancisco 16 Saturday 8 2014 21:22 21 \n", "16842 sanfrancisco 11 Friday 7 2014 00:01 0 \n", "22043 sanfrancisco 24 Tuesday 6 2014 16:10 16 \n", "14909 sanfrancisco 17 Thursday 7 2014 14:00 14 \n", "26823 sanfrancisco 7 Saturday 6 2014 23:00 23 \n", "\n", " Longitude Latitude Address District \\\n", "4883 -122.406887 37.788735 300 Block of STOCKTON ST CENTRAL \n", "16842 -122.465943 37.750908 500 Block of PACHECO ST TARAVAL \n", "22043 -122.474103 37.743174 700 Block of TARAVAL ST TARAVAL \n", "14909 -122.450001 37.728418 300 Block of JUDSON AV INGLESIDE \n", "26823 -122.443273 37.723086 OCEAN AV / DELANO AV INGLESIDE \n", "\n", " Category Description \n", "4883 LARCENY/THEFT GRAND THEFT FROM A BUILDING \n", "16842 LARCENY/THEFT GRAND THEFT FROM LOCKED AUTO \n", "22043 ASSAULT AGGRAVATED ASSAULT WITH A DEADLY WEAPON \n", "14909 WARRANTS ENROUTE TO OUTSIDE JURISDICTION \n", "26823 LARCENY/THEFT PETTY THEFT FROM LOCKED AUTO " ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset = pd.concat([sf_normalized, seattle_normalized])\n", "total_nrows = dataset.shape[0]\n", "print \"Total number of rows after union: %d\" % total_nrows\n", "assert total_nrows == sf_nrows + seattle_nrows\n", "\n", "dataset.sample(n=5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data Exploration" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Temporal Analysis - Crimes by Time of Day in San Francisco" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that we have our `dataset` DataFrame, we are ready to explore our data. Like mentioned at the beginning, our goal is to look at the distribution of crimes at night, so as a first step we need to figure out which crimes are more frequent at night.\n", "\n", "We are restricting ourselves to San Francisco data only at that point to avoid bloating our visualizations with too much data, and we will compare with Seattle at the end of this analysis.\n", "\n", "To visualize data in an efficient manner, we will be using Python's [matplotlib](http://matplotlib.org/) library which offers some very powerful capabilities. In order to show visualizations inline in this notebook, we need to use the following macro:\n", "\n", " %matplotlib inline\n", "\n", "Let's import all the `matplotlib` packages we will be using:" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import matplotlib.cm as cm\n", "import matplotlib.colorbar as cbar" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For this temporal representation, the idea is that we want to show 3 variables:\n", "\n", "* The crime category, based on the column `Category`.\n", "* The time of day, based on the column `TimeBin` (not `Time` because we wouldn't be able to run any aggregation).\n", "* The number of incidents in that category and time.\n", "\n", "Initially we could think about doing this via a 3d-plot, but this visualization would not be very efficient as we wouldn't evaluate distances very easily and this could be misleading.\n", "\n", "Instead, a more efficient representation would be to have a grid where category and hour are on the axes, and each grid cell will be a color whose intensity will represent the proportion of crimes in that category and hour. This will make it easy to see for a given category, for which hours there are more occurrences.\n", "\n", "As a first step, we need to take all of San Francisco's data in `dataset` and group by `TimeBin` and `Category`. This will tie all the crimes to their respective `TimeBin`/`Category` combination." ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# select data from SF and group by TimeBin (hour) and crime Category\n", "gb = dataset[dataset[\"City\"] == SF].groupby([\"TimeBin\", \"Category\"])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "From there we want to create a matrix as a `numpy.array` where the x-axis is the hour, the y-axis is the category, and the cell value is the number of crimes for that category and hour." ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import numpy as np\n", "\n", "# sorted since it is more pleasing visually\n", "categories = sorted(list(set(dataset.Category.tolist())))\n", "# number of categories\n", "n_categories = len(categories)\n", "# matrix where the x-axis is the hour, and y-axis is the category\n", "img_src = np.zeros((n_categories, 24))\n", "\n", "# add the frequencies of crime per hour in the matrix\n", "for group, values in gb:\n", " timebin = group[0]\n", " category = group[1]\n", " value = values.shape[0]\n", " img_src[categories.index(category)][timebin] = value" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We have our matrix with the number of crimes per category/hour, but this is not enough to have a meaningful representation.\n", "\n", "If we keep the values being simply the number of crimes, then categories with a high overall amount of occurrences (like `LARCENY/THEFT` or `ASSAULT` will overshadow all the other categories, so we would only see the crimes with high occurrences in our grid.\n", "\n", "To solve it, we can normalize our matrix by row. If we divide each row element by the max value for that row, all row values will be between 0 and 1 and represent the temporal distribution of occurrences for that crime category. A number closer to 0 means that this particular hour saw a low number of crimes in that category, while a number close to 1 means that this particular hour saw a high number of crimes in that category." ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# normalizing frequencies between 0 and 1 based on the max of each row\n", "for row in img_src:\n", " m = max(row)\n", " for idx in range(len(row)):\n", " row[idx] = row[idx] / m" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we are ready to plot our matrix in a grid. For that, we need to first create a grid layout. This can be done with the `grid` function in `matplotlib`. We create a small helper function that we can reuse later if needed." ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "collapsed": false }, "outputs": [], "source": [ "def preparePlot(xticks, yticks, figsize=(10.5, 6), hideLabels=False, gridColor='#999999',\n", " gridWidth=1.0):\n", " plt.close()\n", " fig, ax = plt.subplots(figsize=figsize, facecolor='white', edgecolor='white')\n", " ax.axes.tick_params(labelcolor='#999999', labelsize='10')\n", " for axis, ticks in [(ax.get_xaxis(), xticks), (ax.get_yaxis(), yticks)]:\n", " axis.set_ticks_position('none')\n", " axis.set_ticks(ticks)\n", " axis.label.set_color('#999999')\n", " if hideLabels: axis.set_ticklabels([])\n", " plt.grid(color=gridColor, linewidth=gridWidth, linestyle='-')\n", " map(lambda position: ax.spines[position].set_visible(False), ['bottom', 'top', 'left', 'right'])\n", " return fig, ax" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "At that point we can use `matplotlib`'s `imshow` method which takes a matrix and will plot it according to some parameters:\n", "\n", "* The `interpolation` parameter allows us to interpolate each \"pixel\" of the image based on a specified algorithm. Here we use `nearest` so that each pixel fits into each cell of the grid.\n", "* `aspect` controls the image aspect-ratio, we leave it to `auto` to let `matplotlib` handle it.\n", "* And `cmap` represents the colormap used to display the pixel intensity. We use `cm.Greys` which is the black and white colormap, meaning a pixel close to 0 will produce a white color, while a pixel close to 1 will produce a black color." ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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T040e16Y6Fjt16oT+/ftjw4YNOHjwIHbu3ImBAweibdu2Dfq9vb09HnjgAWRk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\nAAA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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# draw grid on axes\n", "fig, ax = preparePlot(np.arange(.5, 23, 1), np.arange(.5, n_categories-1, 1), figsize=(16,14), hideLabels=True,\n", " gridColor='#eeeeee', gridWidth=1.1)\n", "\n", "# interpolate crime intensity per hour on the grid\n", "image = plt.imshow(img_src, interpolation='nearest', aspect='auto', cmap=cm.Greys)\n", "\n", "# x-axis labels\n", "for x, y, s in zip(np.arange(-.125, 24, 1), np.repeat(-.75, 24), [str(x) for x in range(24)]):\n", " plt.text(x, y, s, color='#999999', size='10')\n", "# y-axis labels\n", "for x, y, s in zip(np.repeat(-.75, n_categories), np.arange(.125, n_categories, 1), categories):\n", " plt.text(x, y, s, color='#999999', size='10', horizontalalignment=\"right\")\n", "plt.title(\"Distribution of crimes per category depending on time of day in San Francisco\", size=20, y=1.05)\n", "plt.xlabel(\"Hour\", color='#999999', size=\"20\")\n", "plt.ylabel(\"Crime Category\", color='#999999', size=\"20\")\n", "ax.yaxis.set_label_position(\"right\")\n", "\n", "# plot the colobar to show scale\n", "cbar = fig.colorbar(image, ticks=[0, 0.5, 1], shrink=0.25, orientation='vertical')\n", "cbar.ax.set_yticklabels(['Low', 'Medium', 'High'])\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "From that plot, a few interesting properties emerge:\n", "\n", "* A common property to most crime categories is that between 4am and 6am the number of crime occurrences drops drastically. This can easily be explained by the fact that people are mostly sleeping during that time, so it is to be expected.\n", "* Some crimes are most common during the day between 10am and 6pm, while others are most commong during the evening/night between 6pm and 6am.\n", "\n", "Since our goal here is to look at crimes happening at night, let's take a closer look at the crimes we can identify:\n", "\n", "* Occurrences of `ASSAULT` crimes are constant overall throughout the day, but there is a distinct increase after 4pm, a peak around 10pm and then it goes back to normal after 2am.\n", "* `DRUNKENNESS` has a low number of occurrences in the day before 4pm, then steadily increases and peaks around 10pm before going back to normal around 3am.\n", "* For `LARCENY/THEFT` crimes, the number of occurrences gradually, almost linearly, increases throughout the day, reaching critical mass around 5pm, peaking around 7pm, and then going down around midnight-1am.\n", "* `PROSTITUTION` seems to be almost non-existent during the day, but there are some distinct occurrences at night, especially close to midnight.\n", "* There is a pretty clear pattern for `ROBBERY`: the number of occurrences starts growing at 5-6pm, peaking around midnight, and falling flat around 2am. This makes sense, robberies are more likely to happen when shops are closed.\n", "* `VEHICLE THEFT` seems to be mostly concentrated between 5pm and midnight. This makes sense intuitively, people are more likely to steal cars when it is dark and when their owners are at home after work." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Geospatial Analysis - Crimes by San Francisco Neighborhood" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we have identified which crimes are more common at night, and we want to focus on those and dig further.\n", "\n", "In particular, it would be interesting to see how these crimes are distributed geographically, and see if we can create a map of San Francisco's criminality at night and which neighborhoods to avoid. We have the `Longitude` and `Latitude` columns in our `dataset` DataFrame which can help us, but we don't really have a map of San Francisco.\n", "\n", "Plotting geospatial data is not a trivial topic, thankfully several libraries exist in Python that we use in this analysis:\n", "\n", "* `matplotlib`'s [basemap](http://matplotlib.org/basemap/) toolkit: This is useful to plot 2D map data, but doesn't provide much facility around that.\n", "* [fiona](https://github.com/sgillies/Fiona) is a Python interface to [OGR](http://www.gdal.org/ogr/). We use it to open [Shapefiles](https://en.wikipedia.org/wiki/Shapefile) representing San Francisco.\n", "* [shapely](http://toblerity.github.com/shapely/) is a library for analyzing and manipulating planar geometric objects in Python. In particular, it is useful to create polygons and points, which for us maps to neighborhoods and crime occurrences.\n", "* [descartes](https://pypi.python.org/pypi/descartes) is a Python library allowing us to manipulate geospatial shapes. This is useful to turn `shapely` polygons into `matplotlib` patches to be represented on maps.\n", "* [PySAL](https://pysal.readthedocs.org/en/latest/) is a spatial analysis library - we use it here to cluster neighborhoods based on the number of crimes.\n", "\n", "Some interesting analyses that I drew from:\n", "\n", "* [London Blue Plaque Analysis](http://sensitivecities.com/so-youd-like-to-make-a-map-using-python-EN.html)\n", "* [San Francisco's Drug Geography](http://lmart999.github.io/2015/02/28/gis/)\n", "\n", "Let's import all of these modules right now to make sure all is working - some of these have complex and long installation procedures, so we should check they are working before starting:" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from matplotlib.colors import Normalize\n", "from matplotlib.collections import PatchCollection\n", "from mpl_toolkits.basemap import Basemap\n", "\n", "from descartes import PolygonPatch\n", "\n", "from shapely.geometry import Point, Polygon, MultiPoint, MultiPolygon\n", "from shapely.prepared import prep\n", "\n", "from itertools import chain\n", "\n", "import fiona" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Before we can get started, we need an extra dataset aside from the San Francisco crime data.\n", "\n", "In order to draw a map of San Francisco, the easiest way is to leverage `fiona` and use a _shapefile_ of San Francisco. One such shapefile is available on [SF's open-data portal](https://data.sfgov.org/Geographic-Locations-and-Boundaries/SFFind-Neighborhoods/ejmn-jyk6) and has been downloaded in this repository under **data/SFFind_Neighborhoods**\n", "\n", "Let's read it with Fiona:" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "collapsed": true }, "outputs": [], "source": [ "SF_NEIGHBORHOODS = \"sffind_neighborhoods\"\n", "sf_neighborhoods = os.path.join(DATA_DIR, \"%s.shp\" % SF_NEIGHBORHOODS)\n", "shp = fiona.open(sf_neighborhoods)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that we have successfully read the shapefile, we need to pre-compute some statistics which will be used to construct our map:\n", "\n", "* Map boundaries: used to define what to display.\n", "* Width, height: used to center the plot." ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Extract map boundaries\n", "bds = shp.bounds\n", "shp.close()\n", "extra = 0.01\n", "ll = (bds[0], bds[1])\n", "ur = (bds[2], bds[3])\n", "coords = list(chain(ll, ur))\n", "# width, height of map\n", "w, h = coords[2] - coords[0], coords[3] - coords[1]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we have enough data to create a `matplotlib` `Basemap` object which is the foundation of our map. Here we need to specify some geospatial parameters like which projection to use, as well as latitude and longitude coordinates for our map and where it should be centered.\n", "\n", "On top of that, we overlay the content of our shapefile so we have the starting point for our `Basemap`." ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Read SF neighborhood data into Basemap\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAANYAAADtCAYAAADDXotAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n8AAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "m = Basemap(\n", " projection='tmerc',\n", " lon_0=-122.,\n", " lat_0=37.7,\n", " ellps = 'WGS84',\n", " llcrnrlon=coords[0] - extra * w,\n", " llcrnrlat=coords[1] - extra + 0.01 * h,\n", " urcrnrlon=coords[2] + extra * w,\n", " urcrnrlat=coords[3] + extra + 0.01 * h,\n", " lat_ts=0,\n", " resolution='i',\n", " suppress_ticks=True)\n", "\n", "m.readshapefile(\n", " os.path.join(DATA_DIR, SF_NEIGHBORHOODS),\n", " 'SF',\n", " color='none',\n", " zorder=2)\n", "\n", "print \"Read SF neighborhood data into Basemap\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next we need to create a DataFrame representing our map data on which we can apply operations. This DataFrame will contains `Polygon` objects via `shapely` where each `Polygon` represents a San Francisco neighborhood.\n", "\n", "In this DataFrame we also want to include geographic information like the area size in meters and kilometers, because ultimately we will want to represent the crime density by neighborhood." ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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polyward_namearea_marea_kmpatches
15POLYGON ((6416.049162514857 11006.46735719449,...Marina1467340.58496914.673406Poly((6416.05, 11006.5) ...)
58POLYGON ((3980.152562626965 3905.410716075829,...Merced Manor578405.2972075.784053Poly((3980.15, 3905.41) ...)
48POLYGON ((6402.054027197912 6210.814662725435,...Upper Market541463.6553985.414637Poly((6402.05, 6210.81) ...)
7POLYGON ((338.4060199953601 8397.84818246824, ...Outer Richmond2955371.80199429.553718Poly((338.406, 8397.85) ...)
13POLYGON ((6189.674489750905 10552.5053630607, ...Cow Hollow394907.3746133.949074Poly((6189.67, 10552.5) ...)
\n", "
" ], "text/plain": [ " poly ward_name \\\n", "15 POLYGON ((6416.049162514857 11006.46735719449,... Marina \n", "58 POLYGON ((3980.152562626965 3905.410716075829,... Merced Manor \n", "48 POLYGON ((6402.054027197912 6210.814662725435,... Upper Market \n", "7 POLYGON ((338.4060199953601 8397.84818246824, ... Outer Richmond \n", "13 POLYGON ((6189.674489750905 10552.5053630607, ... Cow Hollow \n", "\n", " area_m area_km patches \n", "15 1467340.584969 14.673406 Poly((6416.05, 11006.5) ...) \n", "58 578405.297207 5.784053 Poly((3980.15, 3905.41) ...) \n", "48 541463.655398 5.414637 Poly((6402.05, 6210.81) ...) \n", "7 2955371.801994 29.553718 Poly((338.406, 8397.85) ...) \n", "13 394907.374613 3.949074 Poly((6189.67, 10552.5) ...) " ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_map = pd.DataFrame({\n", " 'poly': [Polygon(xy) for xy in m.SF],\n", " 'ward_name': [ward['name'] for ward in m.SF_info]})\n", "df_map['area_m'] = df_map['poly'].map(lambda x: x.area)\n", "df_map['area_km'] = df_map['area_m'] / 100000\n", "# Draw neighborhoods with polygons\n", "df_map['patches'] = df_map['poly'].map(lambda x: PolygonPatch(\n", " x,\n", " fc='#000000',\n", " ec='#ffffff', lw=.5, alpha=1,\n", " zorder=4))\n", "\n", "df_map.sample(n=5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, we need some data to plot ! We can use our `dataset` DataFrame and convert the `Longitude` and `Latitude` columns to `shapely` `Point` and `MultiPoint` which will be the basis for drawing on our `Basemap`.\n", "\n", "We need to make sure that what we select the right data from our `dataset` DataFrame before transforming it to `Points`:\n", "\n", "* Only San Francisco data.\n", "* Category should be within the list of 6 crime categories we have identified as happening mostly at night (`ASSAULT`, `DRUNKENNESS`, `LARCENY/THEFT`, `PROSTITUTION`, `ROBBERY`, `VEHICLE THEFT`)\n", "* Occurrences should have a time between 6pm and 6am (this is what we consider as evening/night in this analysis)" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def makePoints(dat):\n", " # Create Point objects in map coordinates from dataframe lon and lat values\n", " map_points = pd.Series([Point(m(mapped_x,mapped_y)) for mapped_x, mapped_y in zip(dat['Longitude'],dat['Latitude'])])\n", " plt_points = MultiPoint(list(map_points.values))\n", " hoods_polygon = prep(MultiPolygon(list(df_map['poly'].values)))\n", " pts = filter(hoods_polygon.contains,plt_points)\n", " return pts\n", "\n", "night_categories = [\n", " \"VEHICLE THEFT\", \n", " \"ROBBERY\", \n", " \"PROSTITUTION\", \n", " \"LARCENY/THEFT\",\n", " \"DRUNKENNESS\",\n", " \"ASSAULT\"\n", "]\n", "\n", "sf_night_crimes = dataset[\n", " (dataset[\"City\"] == SF) & \n", " (\n", " (dataset[\"TimeBin\"] >= 18) | \n", " (dataset[\"TimeBin\"] <= 6)\n", " ) & \n", " (dataset[\"Category\"].isin(night_categories))]\n", "sf_night_vehicle_theft = sf_night_crimes[sf_night_crimes[\"Category\"] == night_categories[0]]\n", "sf_night_robbery = sf_night_crimes[sf_night_crimes[\"Category\"] == night_categories[1]]\n", "sf_night_prostitution = sf_night_crimes[sf_night_crimes[\"Category\"] == night_categories[2]]\n", "sf_night_theft = sf_night_crimes[sf_night_crimes[\"Category\"] == night_categories[3]]\n", "sf_night_drunk = sf_night_crimes[sf_night_crimes[\"Category\"] == night_categories[4]]\n", "sf_night_assault = sf_night_crimes[sf_night_crimes[\"Category\"] == night_categories[5]]\n", "\n", "sf_night_crimes_points = makePoints(sf_night_crimes)\n", "sf_night_vehicle_theft_points = makePoints(sf_night_vehicle_theft)\n", "sf_night_robbery_points = makePoints(sf_night_robbery)\n", "sf_night_prostitution_points = makePoints(sf_night_prostitution)\n", "sf_night_theft_points = makePoints(sf_night_theft)\n", "sf_night_drunk_points = makePoints(sf_night_drunk)\n", "sf_night_assault_points = makePoints(sf_night_assault)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's recap where we are at this point:\n", "\n", "* We have our `Basemap` instance created, with our neighborhood shapefile overlay.\n", "* We have a list of `Points` for each of our night crime.\n", "\n", "All that is left is to `scatter` the individual crime `Points` in the map and render them on top of the `Basemap` to have a geospatial visualization of our crime occurrences at night.\n", "\n", "Some considerations used here to produce a visually pleasing visualization:\n", "\n", "* Categories like `PROSTITUTION`, `DRUNKENNESS` and `ROBBERY` which are less frequent have a bigger scatter plot size so they don't disappear under the way more frequent `ASSAULT`, `LARCENY/THEFT` and `VEHICLE THEFT`.\n", "* `LARCENY/THEFT` has quite a bit of overlap with the other categories, so it is represented with a cross (**x**) instead of a dot (**o**) like the others, in order to being able to distinguish every category." ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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16zoEHUt+IVkEAAAAkKUOHToMuO+++5YHHcex4JVXXqmydOnSJ4KO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\nWrduPUQ5d08tkpyc/OC4ceNuGDBgQN2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wevVqO++887q8/fbb35966qlvVqpU6bGMjIx9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kND5Vu3btWFhIRoa9PIxR4PbVlJccTqcLIBRbt20pFZWeYvqd3UIA0wk2B0xCIBWhNILtFcwToh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pLi+ZgMiFLeBokkwWxFenrWhofYu5cjDEOtSKtzRNFVTGEKrZu/SXaqkWy//ArzbMuwODof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iR2iW9nsZtiGv6Bbgws33qXvYy35cnNCW7ggRIkQISgYZ/HD7D/YnEp8gg4zAK/mE5jPP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\nKPc+g6FH+IcMA1LV02Pggh3X8vLELwC4YM/plOX/U3ovBKK0qqpK7my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ecyDlLKYhVUsN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tKwV27+42ohFAqJJcUq0p+l09/q9JYSV/IZBkddqlN61VIOMzOBnTuBkmgHZc7nMjwceQCW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Ro0aFOTs7L4HUMqk0zM3NH/fo0aN7QEDAzoCAgOEXLlzY7+Xldahjx45zABSpdYRKotbc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\nrWi9U6dOSVOnTs2PiooyLViwQKvX6yv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TH3/8saEy25g0adLv58+f717GtZrP8ePH35kx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\nTlIAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.clf()\n", "fig = plt.figure()\n", "ax = fig.add_subplot(111, axisbg='w', frame_on=False)\n", "\n", "# Scatter vehicle theft occurrences\n", "dev = m.scatter(\n", " [geom.x for geom in sf_night_vehicle_theft_points],\n", " [geom.y for geom in sf_night_vehicle_theft_points],\n", " 10, marker='o', lw=.25,\n", " facecolor='cyan', edgecolor='cyan',\n", " alpha=0.75, antialiased=True,\n", " label='Vehicle Theft', zorder=3)\n", "\n", "# Scatter robbery occurrences\n", "dev = m.scatter(\n", " [geom.x for geom in sf_night_robbery_points],\n", " [geom.y for geom in sf_night_robbery_points],\n", " 10, marker='o', lw=5.5,\n", " facecolor='red', edgecolor='red',\n", " alpha=0.75, antialiased=True,\n", " label='Robbery', zorder=3)\n", "\n", "# Scatter prostitution occurrences\n", "dev = m.scatter(\n", " [geom.x for geom in sf_night_prostitution_points],\n", " [geom.y for geom in sf_night_prostitution_points],\n", " 10, marker='o', lw=5.5,\n", " facecolor='green', edgecolor='green',\n", " alpha=0.75, antialiased=True,\n", " label='Prostitution', zorder=3)\n", "\n", "# Scatter larceny/theft occurrences\n", "dev = m.scatter(\n", " [geom.x for geom in sf_night_theft_points],\n", " [geom.y for geom in sf_night_theft_points],\n", " 10, marker='x', lw=.75,\n", " facecolor='magenta', edgecolor='magenta',\n", " alpha=0.75, antialiased=True,\n", " label='Larceny/Theft', zorder=3)\n", "\n", "# Scatter drunkenness occurrences\n", "dev = m.scatter(\n", " [geom.x for geom in sf_night_drunk_points],\n", " [geom.y for geom in sf_night_drunk_points],\n", " 10, marker='o', lw=5.5,\n", " facecolor='yellow', edgecolor='yellow',\n", " alpha=0.75, antialiased=True,\n", " label='Drunkenness', zorder=3)\n", "\n", "# Scatter assault occurrences\n", "dev = m.scatter(\n", " [geom.x for geom in sf_night_assault_points],\n", " [geom.y for geom in sf_night_assault_points],\n", " 10, marker='o', lw=.25,\n", " facecolor='orange', edgecolor='orange',\n", " alpha=0.75, antialiased=True,\n", " label='Assault', zorder=3)\n", "\n", "ax.add_collection(PatchCollection(df_map['patches'].values, match_original=True))\n", "\n", "m.drawmapscale(\n", " coords[0] + 0.015, coords[1] - 0.005,\n", " coords[0], coords[1],\n", " 2.,\n", " barstyle='fancy', labelstyle='simple',\n", " fillcolor1='w', fillcolor2='#555555',\n", " fontcolor='#555555',\n", " zorder=5)\n", "\n", "plt.tight_layout()\n", "plt.legend(loc=\"center right\")\n", "plt.title(\"Geographic distribution of most prevalent crimes at night in San Francisco during Summer 2014\", size=15)\n", "fig.set_size_inches(15,15)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "So what does this map tell us? We can make plenty of observations now that we have a geospatial representation of crimes and their neighborhoods:\n", "\n", "* A lot of crime activity is concentrated in the city center near Union Square, for all of the categories identified here.\n", "* `ASSAULT` crimes seem to be particularly prevalent in the Tenderloin neighborhood. This makes sense, since the Tenderloin has a reputation to be a pretty sketchy neighborhood.\n", "* `PROSTITUTION` is not found so much in the city center, but seems to be more concentrated around the Mission district. This also makes sense, because Capp Street has a reputation of having many prostitutes, so the data correlates with this story.\n", "* For `ROBBERY` occurrences, they are pretty sparsely distributed accross the city and there is no real epicenter. But what we can clearly see is that the further West we go, the fewer robberies there are.\n", "* `VEHICLE THEFT` and `LARCENY/THEFT` are happening pretty much uniformly everywhere in the city. The frequency is of course higher in the city center, but this is more due to it being more densely populated than anything else.\n", "* Based on the occurrences of `DRUNKENNESS`, you can find more drunk people alongside the main big streets like Market Street. This makes sense because this is probably where most bars are located." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This was a useful visualization, but we're not done yet. One of our goals was to see which neighborhoods to avoid at night. And, while we can start forming a pretty good idea at that point, it would be nice to cluster the different neighborhoods based on their crime density, and represent that on the map.\n", "\n", "To that end we will use a classification algorithm called [Jenks Natural Breaks Optimization](https://en.wikipedia.org/wiki/Jenks_natural_breaks_optimization) which will take all our neighborhoods and their crime densities, and divide these into several crime categories.\n", "\n", "The first step is to take our night crime data (for all 6 night crime categories), and identify to which neighborhood they belong, count those, and derive the crime density from it:" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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polyward_namearea_marea_kmpatchescountdensity_mdensity_km
115POLYGON ((3980.152562626965 3905.410716075829,...St. Francis Wood433198.7423914.331987Poly((3980.15, 3905.41) ...)60.0000141.385046
50POLYGON ((8335.076691982184 7787.299476736942,...Mission3115872.46130531.158725Poly((8335.08, 7787.3) ...)5000.00016016.046870
90POLYGON ((7527.326043150293 3224.861639991456,...Mission Terrace1274966.08137312.749661Poly((7527.33, 3224.86) ...)700.0000555.490342
91POLYGON ((7539.991345278126 1867.318677264847,...Excelsior1674291.03846116.742910Poly((7539.99, 1867.32) ...)970.0000585.793497
113POLYGON ((5723.235722171237 6868.30994159828, ...Ashbury Heights343827.4664953.438275Poly((5723.24, 6868.31) ...)100.0000292.908435
\n", "
" ], "text/plain": [ " poly ward_name \\\n", "115 POLYGON ((3980.152562626965 3905.410716075829,... St. Francis Wood \n", "50 POLYGON ((8335.076691982184 7787.299476736942,... Mission \n", "90 POLYGON ((7527.326043150293 3224.861639991456,... Mission Terrace \n", "91 POLYGON ((7539.991345278126 1867.318677264847,... Excelsior \n", "113 POLYGON ((5723.235722171237 6868.30994159828, ... Ashbury Heights \n", "\n", " area_m area_km patches count \\\n", "115 433198.742391 4.331987 Poly((3980.15, 3905.41) ...) 6 \n", "50 3115872.461305 31.158725 Poly((8335.08, 7787.3) ...) 500 \n", "90 1274966.081373 12.749661 Poly((7527.33, 3224.86) ...) 70 \n", "91 1674291.038461 16.742910 Poly((7539.99, 1867.32) ...) 97 \n", "113 343827.466495 3.438275 Poly((5723.24, 6868.31) ...) 10 \n", "\n", " density_m density_km \n", "115 0.000014 1.385046 \n", "50 0.000160 16.046870 \n", "90 0.000055 5.490342 \n", "91 0.000058 5.793497 \n", "113 0.000029 2.908435 " ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_map['count'] = df_map['poly'].map(lambda x: int(len(filter(prep(x).contains, sf_night_crimes_points))))\n", "df_map['density_m'] = df_map['count'] / df_map['area_m']\n", "df_map['density_km'] = df_map['count'] / df_map['area_km']\n", "# it's easier to work with NaN values when classifying\n", "df_map.replace(to_replace={'density_m': {0: np.nan}, 'density_km': {0: np.nan}}, inplace=True)\n", "\n", "df_map.sample(n=5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next we use `PySAL` which has an implementation of the Natural Breaks algorithm, and apply it to the crime density per square kilometer, and ask the algorithm to divide the neighborhoods in 5 classes." ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "36 neighborhoods have crime density D such as 0/km^2 <= D <= 2/km^2\n", "21 neighborhoods have crime density D such as 2/km^2 <= D <= 4/km^2\n", "26 neighborhoods have crime density D such as 4/km^2 <= D <= 9/km^2\n", "22 neighborhoods have crime density D such as 9/km^2 <= D <= 24/km^2\n", "8 neighborhoods have crime density D such as 24/km^2 <= D <= 86/km^2\n" ] } ], "source": [ "from pysal.esda.mapclassify import Natural_Breaks as nb\n", "\n", "# Calculate Jenks natural breaks for density\n", "breaks = nb(\n", " df_map[df_map['density_km'].notnull()].density_km.values,\n", " initial=300,\n", " k=5)\n", "\n", "prev = 0\n", "for density, counts in zip(breaks.bins, breaks.counts):\n", " print \"%d neighborhoods have crime density D such as %d/km^2 <= D <= %d/km^2\" % (counts, prev, density)\n", " prev = density" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "From that, we join back the results of the Natural Breaks algorithm with our map DataFrame so that we know for each neighborhood what its class is. This is all we need in terms of data, based on that we will be able to assign different colors to each neighborhood based on their class.\n", "\n", "We also want to create the labels for the color scale based on the density values found by the algorithm, so we can show in the map to what density each color corresponds." ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# the notnull method lets us match indices when joining\n", "jb = pd.DataFrame({'jenks_bins': breaks.yb}, index=df_map[df_map['density_km'].notnull()].index)\n", "df_map.drop(\"jenks_bins\", inplace=True, axis=1, errors=\"ignore\")\n", "df_map = df_map.join(jb)\n", "df_map.jenks_bins.fillna(-1, inplace=True)\n", "\n", "# assign labels to the colorbar based on the natural breaks bins\n", "jenks_labels = [\"<= %0.1f crimes / km$^2$\" % b for b in breaks.bins]\n", "jenks_labels.insert(0, 'No crimes')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally all that's left to do is to draw the map and assign the right colors ! We will use the `Blues` colormap which is more aesthetically pleasing." ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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FXVEHk9X0UMwqPkGt38LRInjP61iIqPOYuBERERF1ge3gpYiDI7yOoz0BCx/4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dzy0BZ36Yot7dKTi7fqGxriasLpe82x9oRLVYnCZbveD0qAimgI1YVhb0yp4RSGJa5ACFlw0tEe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JivAyAP8OYEYRzXDGXwhgYu4O5PpqR7Hq/5QIGQJly06YN2vsnrIT9h+zL0UIFT2eyETnbBSE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tHBySgHPL9lycBE2NI/EbYAWFupMQ6Xoo5Gm38mjOUuQ6M/m+3rwlheqjHyZ0rhK2NO9L4G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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from matplotlib.colors import Normalize, LinearSegmentedColormap \n", "\n", "plt.clf()\n", "fig = plt.figure()\n", "ax = fig.add_subplot(111, axisbg='w', frame_on=False)\n", "\n", "# use a blue colour ramp - we'll be converting it to a map using cmap()\n", "cmap = plt.get_cmap('Blues')\n", "pc = PatchCollection(df_map['patches'], match_original=True)\n", "# impose our colour map onto the patch collection\n", "norm = Normalize()\n", "pc.set_facecolor(cmap(norm(df_map['jenks_bins'].values)))\n", "ax.add_collection(pc)\n", "\n", "# Convenience functions for working with colour ramps and bars\n", "def colorbar_index(ncolors, cmap, labels=None, **kwargs):\n", " cmap = cmap_discretize(cmap, ncolors)\n", " mappable = cm.ScalarMappable(cmap=cmap)\n", " mappable.set_array([])\n", " mappable.set_clim(-0.5, ncolors+0.5)\n", " colorbar = plt.colorbar(mappable, **kwargs)\n", " colorbar.set_ticks(np.linspace(0, ncolors, ncolors))\n", " colorbar.set_ticklabels(range(ncolors))\n", " if labels:\n", " colorbar.set_ticklabels(labels)\n", " return colorbar\n", "\n", "def cmap_discretize(cmap, N):\n", " if type(cmap) == str:\n", " cmap = get_cmap(cmap)\n", " colors_i = np.concatenate((np.linspace(0, 1., N), (0., 0., 0., 0.)))\n", " colors_rgba = cmap(colors_i)\n", " indices = np.linspace(0, 1., N + 1)\n", " cdict = {}\n", " for ki, key in enumerate(('red', 'green', 'blue')):\n", " cdict[key] = [(indices[i], colors_rgba[i - 1, ki], colors_rgba[i, ki]) for i in xrange(N + 1)]\n", " return LinearSegmentedColormap(cmap.name + \"_%d\" % N, cdict, 1024)\n", "\n", "# Add a colour bar\n", "cb = colorbar_index(ncolors=len(jenks_labels), cmap=cmap, shrink=0.5, labels=jenks_labels)\n", "cb.ax.tick_params(labelsize=10)\n", "\n", "# Show highest densities, in descending order\n", "highest = '\\n'.join(\n", " value[1] for _, value in df_map[(df_map['jenks_bins'] == 4)][:10].sort().iterrows())\n", "highest = 'Most criminal neighborhoods:\\n\\n' + highest\n", "# Subtraction is necessary for precise y coordinate alignment\n", "details = cb.ax.text(\n", " -1., 0 + 0.3,\n", " highest,\n", " ha='right', va='bottom',\n", " size=10,\n", " color='#555555')\n", "\n", "# Draw a map scale\n", "m.drawmapscale(\n", " coords[0] + 0.015, coords[1] - 0.005,\n", " coords[0], coords[1],\n", " 2.,\n", " barstyle='fancy', labelstyle='simple',\n", " fillcolor1='w', fillcolor2='#555555',\n", " fontcolor='#555555',\n", " zorder=5)\n", "plt.tight_layout()\n", "plt.title(\"Crime density at night by San Francisco neighborhood during Summer 2014\", size=15)\n", "fig.set_size_inches(15, 15)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This map is much easier to parse visually than the previous map. It contains less information, but information is aggregated and tells a clearer story with no need for interpretation.\n", "\n", "Here we can see that the most criminal neighborhoods are, for most of them, right in the city center. This can be explained by the fact that this area is more densely populated, and also where most activities at night happen, so this was expected.\n", "\n", "What is interesting to notice though is that, even though they are both far from the city center, Western San Francisco (The Avenues + Twin Peaks) and SouthEast districts have very different crime patterns: there are way more crimes in the SouthEast, than there are in the West." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Comparison between San Francisco and Seattle crime distribution" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "At that point we have a pretty good understanding of crime activity at night in San Francisco, both temporally and spacially. What would now be interesting to see is if there is any correlation between what we've found in San Francisco, and crime data in Seattle.\n", "\n", "We already did the groundwork during pre-processing to normalize Seattle and San Francisco's datasets, so it is now a simple matter of visualizing what we previously did.\n", "\n", "An interesting way to show the differences in crime distribution between the 2 cities is to use hierarchical clustering on normalized crime occurrences broken down by category. Thankfully Python's library [seaborn](https://github.com/mwaskom/seaborn) provides powerful visualization techniques and, among those, a `clustermap` which essentially uses hierarchical clustering to discover relationships between rows and columns in a DataFrame.\n", "\n", "The first step is to prepare our data: we want to create a DataFrame where each row represents a category, and each column a different city. A few extra processing steps:\n", "\n", "* If a crime category doesn't have an occurrence in both cities, we take it out. It wouldn't be meaningful to include it since we are comparing both cities.\n", "* We need to normalize the values accross rows so that crimes with very high occurrences like `LARCENY/THEFT` don't end up alone in a cluster and everything else in a separate cluster. The sum of each row should be 1." ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Crime categories not in both cities:\n", " sanfrancisco seattle\n", "Category \n", "BRIBERY 1 0\n", "DRUNKENNESS 98 0\n", "EXTORTION 4 0\n", "FAMILY OFFENSES 3 0\n", "KIDNAPPING 63 0\n", "LOITERING 1 0\n", "MISSING PERSON 401 0\n", "SECONDARY CODES 216 0\n", "SUICIDE 7 0\n", "SUSPICIOUS OCC 562 0\n" ] }, { "data": { "text/html": [ "
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sanfranciscoseattle
Category
ROBBERY0.2762040.723796
WARRANTS0.6732590.326741
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" ], "text/plain": [ " sanfrancisco seattle\n", "Category \n", "ROBBERY 0.276204 0.723796\n", "WARRANTS 0.673259 0.326741\n", "PROSTITUTION 0.314159 0.685841\n", "ASSAULT 0.545422 0.454578\n", "FORGERY/COUNTERFEITING 0.070707 0.929293" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# only keep night crimes\n", "gb = dataset[(dataset[\"TimeBin\"] >= 18) | (dataset[\"TimeBin\"] <= 6)].groupby(\"Category\")\n", "category_by_city = gb[\"City\"].value_counts().unstack().fillna(0)\n", "# filter out crimes which don't have an occurrence in both cities\n", "category_by_city_nonnull = category_by_city[(category_by_city[SF] > 0) & (category_by_city[SEATTLE] > 0)]\n", "print \"Crime categories not in both cities:\"\n", "print category_by_city[(category_by_city[SF] == 0) | (category_by_city[SEATTLE] == 0)]\n", "# normalize the distribution of crimes so that each rows adds up to 1\n", "category_by_city_norm = category_by_city_nonnull.div(category_by_city_nonnull.sum(axis=1), axis=0)\n", "\n", "category_by_city_norm.sample(n=5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We are now ready to plot our `clustermap`, still using the `Blues` colormap for consistency with what we did previously:" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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dsG4ultvydz0iIyPp0KED7du358MPP8y33L59+6hVqxbffvvtn9tyEREREZH/\nEQU/0tJSOD31NpuNCRMmMH/+fAIDA+nduzehoaFUqlQpV7k333yTZs2aFUqcIiIiIiJFQZG8UXbf\nvn1UqFCBkJAQADp37sy6detyJfULFiygffv2/Pzzz4URpoiIiIhIkVAkh9/ExMQQHBxsnw4KCuL8\n+fO5yqxdu5aHH374BjddREREROR/g9M+/WbSpEmMGDHCPm2MKcRoREREREQKT5EcfhMUFMTZs2ft\n0zExMQQGBjqUiYqKYvjw4RhjiI+PJzIyEldXV0JDQ+90uCIiIiIihapIPtKydu3anDp1iujoaEqX\nLk1ERATTp093KLNu3Tr7/+Hh4bRu3VoJvYiIiIj8JRWc1BfS029cXFwYM2YMQ4YMwRhD7969qVSp\nEosXL8ZisdCvX79CiUtEREREpCgqOKkvxDH1LVq0oEWLFg7z+vfvn2fZ119//U6EJCIiIiJSJBXJ\n59SLiIiIiMj1Kziptxb4xEsRERERESkCiuSYehERERERuX5Fdky9iIiIiIhcn2v01Gv4jYiIiIhI\nUXeNMfXqqRcRERERKeo0/EZERERExMlp+I2IiIiIiJNTT72IiIiIiJMrsCveYrk9f9cjMjKSDh06\n0L59ez788MNcy1euXEm3bt3o1q0bDz30EIcPH76hHSAiIiIi4uyK5C/K2mw2JkyYwPz58wkMDKR3\n796EhoZSqVIle5ly5cqxcOFCfH19iYyMZMyYMfz3v/8tlHhFRERERApTgUm9tZCG3+zbt48KFSoQ\nEhICQOfOnVm3bp1DUl+vXj2H/2NiYu54nCIiIiIiRUHBSX0h9dTHxMQQHBxsnw4KCuLnn3/Ot/wX\nX3xBixYt7kRoIiIiIiJFzjV66u9UGDdu27ZtLF26lEWLFhV2KCIiIiIihaJIjqkPCgri7Nmz9umY\nmBgCAwNzlTt06BCvvPIKc+bMoUSJEncyRBERERGRIqPAvnir1XJb/q6ldu3anDp1iujoaDIyMoiI\niCA0NNShzNmzZ3n22WeZOnUq5cuXv7m9ICIiIiLixIrkmHoXFxfGjBnDkCFDMMbQu3dvKlWqxOLF\ni7FYLPTr14/333+fS5cu8eqrr2KMwdXVlS+//LJQ4hURERERKUxFdkx9ixYtct382r9/f/v/r732\nGq+99tqdDktEREREpMgpkj31IiIiIiJy/ZTUi4iIiIg4uSI7/EZERERERK5PkXykpYiIiIiIXL9r\n9NQrqRdACQ1TAAAgAElEQVQRERERKerUUy8iIiIi4uQ0pl5ERERExMnp6TciIiIiIk6u4OE3GlMv\nIiIiIlLkFZjUq6NeRERERKTo042yIiIiIiJOTo+0FBERERFxcgUm9d7uSupFRERERIo6PbRSRERE\nRMTJKakXEREREXFySupFRERERJycknoRERERESenpF5ERERExMkpqRcRERERcXJK6kVEREREnJyS\nehERERERJ6ekXkRERETEySmpFxERERFxckrqRUREREScnJJ6EREREREnp6ReRERERMTJKakXERER\nEXFySupFRERERJycknoRERERESenpF5ERERExMkpqRcRERERcXJK6kVEREREnJySehERERERJ6ek\nXkRERETEySmpFxERERFxckrqRUREREScnJJ6EREREREnZzHGmMIOQkREREREbpxrYQcgd8bAhXsL\nOwSRv5SKpbwKOwSRv5zx7asUdggihUbDb0REREREnJySehERERERJ6ekXkRERETEySmpFxERERFx\nckrqRUREREScnJ5+I3ILJBz7iVNr5mOMoXT91pR9sIfD8ssnDnD086l4+AcB4F/9PkJa9LIvN8bG\n/v+E4148gKr9RwIQ/f0XnP9xHW7eJQC4q81D+FWuZ6+TfukCP3/wb0Ja9iW4aRdsmRkc/XI66fEx\nWKxW/Ko0pFzowwCc27aK2D3rsVhdcPUqTsVu/8CjRKnbuk9EbrffDuxmz9L/YIyNe5q0o0bb3nmW\nu3jyCOveGsEDj43krroPALBy3BDcinlhsVixurjQ9oW3HOocWr+UvV99RI9Ji/Dw9iU57jzfTPwH\nvkF3AVDy7mo06vs0memprH97JFgsYAypCReo0Lg19Xs+QVLsb+xY9DaZaamAoU7XwQTXbHRb94lc\n29q1axk2bBjffPMNFStWxBjDxIkT2b59OwDFihXj7bffJiQkhC+//JKPP/4Yi8WCMYbhw4fTpk0b\nALKzs2nWrBl9+vTh3//+t739Nm3asHTpUvz8/ADYsWMH8+bNY9asWSxbtoyoqCjGjBljL9+rVy9s\nNhsJCQmkpaURFBSExWJh1qxZBAUF3cE9I85OSb3ITTLGxslv5lJ94Cu4+fpzYE44/tUa41kqxKGc\nb4Ua9oT9j2K2f41n6RCy01Md5pdp0oXgpl3yrHPq20/wq1zfYV5w024Uv7smxpbNoU/Gk3DsJ/wq\n18OrzD3UeqIdVld3zu/6ltNrP6Vyr+duYqtFCpex2fjxy1m0GjYRzxIBfPfGcELq3E/xoHK5yu1b\nOZ8yNRo4zLdYLLR5djLuXj652k6Jv0DMoZ/w9g90mO9TOpj2L85wmOfm4Un7ke/Yp7+d9hx31XsQ\ngP3ffk75Rq2o/GBHLp87TeSscXQZN/emtltuXkREBK1atSIiIoJhw4bx9ddfExsby8qVKwGIiYnB\ny8uLmJgYZs+ezfLly/H29iY1NZW4uDh7O1u2bKFmzZqsWbPGIam3WCwFrv+Py5csWQLAF198wbFj\nxwgPD79Vmyp/MRp+I3KTkqOPUSwgGA+/0lhdXAmo9SDxh3fmLpjP77xlXL5IwtE9lK4fmsfSvOvE\nH95JMf9APEv/nsBY3dwpfndNACxWF7yCK5KZmPMGVPzumlhd3QHwvqsqGZfjcjcq4kQunjyCT+my\neAcEYnVxpXyDFkTv256r3NHIlZSr24xiPiUcF5icD+R52bPsP9TtMST3gmv8VmPi+WjSky5R+p6c\n89CzuD9ZaSkAZKQm4elX8jq2TG6nlJQU9u7dy9ixY4mIiAAgNjaW0qVL28sEBQXh6+vLxYsX8fHx\nwdPTEwBPT09CQn7vrImIiODhhx+mXLly/PTTT/b5+k1PKSxK6kVuUkZiHO4lfn+zdi8eYE+mr5Z0\n5ihRs0dweNHrpMaesc8/ueZjyrUdCOTu3YnZuZqo2SM4vnIWWWnJAGRnpPHblhWUbdmH/JL+rLRk\nEo7spnjFe3Mti92z3mEYj4gzSr10ES//34eQefqVIvXSxVxlovdto3LzTrnPFAtsfG8M374xnF9+\nWG2fHf3zdrz8SuFX9u5c60yOO8+aqf9iwzvhxP6yP9fyUz9GUr5Bc/t0jbZ9OL5jHSteeZRNs8fT\noNfQG9pWuXXWrVtHs2bNCA4OpmTJkhw4cICOHTuyfv16wsLCmDJlCgcPHgSgevXqBAQEEBoaSnh4\nOBs2bLC3k5GRwfbt22nevDkdO3Zk1apVhbVJInYafuMkJk+eTFpa2p+uN27cuFsfjPxp3mXvoe5z\n7+Pi5kHC0T0c+XwadYfNIP7Ibtx8SuBd5m4un9jv0BMY2Kg9ZVv0xmKxcGb9Yk5/t4CKXZ8i+vsv\nKNOkMy5uHv9f0jFdMTYbvyx9h6D7O+Hh5zh84MK+SFJ++5Xyg8fd5i0WKXx7lvyHOt0ftU9f3YMa\n+tw0PEsEkJZ4ie/ff5niQeXwL1eZA9/+l1bPTLiqlZw6niUC6PrqR7h7+RB3+hhb5kykw+j3cfPw\ntJc89eMmmgx83j7907I53NOkPdVad+fC8UNsW/AmHUe/f9u2V64tIiKCwYMHA9ChQwdWrlzJyJEj\nWbNmDdu2bWPr1q08+uijzJgxgyZNmjB37lx+/vlntm7dyuTJk9m/fz/Dhg1jw4YN3Hfffbi7uxMa\nGsrMmTN56aWXsFgseQ6/udaQHJFbQUm9k0hLS1OCXkS5+waQcemCfTrjchxuvgEOZVzci9n/96tS\nn5PfzCUrNYmk04dJOLyLvUf3YMvKIDs9lV+Wv0ulHsNw8y5ur1O6QShHFk8Bcob7xB/czum1n5KV\nlpxzo5+rO0GN2wNwfNVsipUMpsx9HR1iuPTrPn7bspzqg1/F6qJTX5ybZ4mSpMTF2qdTEy7gWcJx\neEvc6aNsnT8VDKQnX+bcgV1YXVwJqX0/niVyztFiviUIqdOUuJNHcPP0JiUuhjVT/gkGUhIu8O20\n52j7/HSK+frZx98HlKuMT8kyJJ6PJqBcZQASoo9jbDb8y1Wyr//Crwep1THnZvVSFauTnZlBetIl\nPP44FEjuiEuXLrFt2zaOHDmCxWLBZrNhsVgYOXIkbm5uNG/enObNm1OqVCnWrl1LkyZNAKhduza1\na9fmgQceYPTo0QwbNoxVq1axZ88eQkNDMcbY227atCl+fn5cvnzZfqPspUuX8Pf3L8xNl78IvbOL\n3CTvspVJiztHekIsbr7+xO3fQqWe/3Iok5mUgJtPzgU+KfoYxhhcPX0oF/qw/Qk1l08c4Ny2lVTq\nMQyAjKQE3P+/Tvyh7XgG5oyfr/Hoq/Z2o7//Aqu7pz2hP7N+MdnpqdzT7R8O60/+7TgnIv5DtQEv\n4eblexv2gsidFVChCkkXfiM57jzFivtz6sdImg5+0aFMl7G/35S6feHbhNx7HyG17ycrIw1jDG4e\nnmSlp3Hu0B7u7fAQfmXvpvvET+11Vo17nHYvzsDdy4f0pEu4e/lisVpJunCOxAu/4VOyjL3sqd3f\nU75hC4f1Fy9TjpjDe6l4fyiXz53GlpWphL4QrV69mu7du/Pqq79fQwcOHMiuXbsoX748gYGB2Gw2\nDh8+TPXq1YmNjSU2NpaaNXPukTh48CBly5YlKSmJ3bt3ExkZiatrThq1bNkyVq5cSdOmTbnvvvtY\nvnw5zz77LNnZ2axYsYK//e1v9nVqzL3cLkrqRW6SxWqlQsfHObzwtZxHWtZrg2fpuzi/+zvAQmDD\nvxF3cBvnd32HxcUFq6v7dT155vTaT0k5dwKLxYK7X2kqdn6ywPIZl+M4u3kZnqVDiPrwRcBCUOP2\nlK7fhtNrP8WWmc6xL98CDO4lSlG134sFtidSlFmtLjTo/RTfvz/G/kjL4mXKcWzLN1iwUOnBDg7l\nrx78kJaYwJY5EwELxpZNhUatcj0d50qlKwlY7C/7+fnrT7G6uGGxWGjU7xmHJ+ec/mkLLZ4a51C9\nbrfH2PHZDI5sXA4WK/c/MvwWbb3ciK+//ponnnjCYV67du0YNWoUJUqUICMjA4A6deowYMAALly4\nwJQpU4iNjcXDw4OAgADGjRvH2rVradq0qT2hh5zHWE6bNo3MzEyeeeYZxo4dS/fu3QFo3ry5/X/I\n+QCwbt06jDFYLBY+//xzPbpSbgmL0UdGpzBu3LibGn4zcOHeWxeMiFxTxVJehR2CyF/O+PZVCjsE\nkUKjp9+IiIiIiDg5JfUiIiIiIk5OSb2IiIiIiJNTUi8iIiIi4uSU1IuIiIiIODkl9SIiIiIiTk7P\nqb8BkydPJi0t7Y6u89ChQzdV/2Ji+i2KRESuR9OK+pEhERG5c5TU34C0tLSbemb8jbjT6xMRERER\n56HhNyIiIiIiTk5JvYiIiIiIk1NSLyIiIiLi5JTUi4iIiIg4Od0oK3ILpJzYx4WNn4Ix+N7bEv/G\nXXKVST19kAvfL8TYsnDxLE5In9EF1r0Y+RnJx3/C4uKKW4lAAts9idXDE4D4HStI3B8JVhdKtXoE\nrwq1Hdb121fTybp8gXIDJ+Ws+8xhLnz/KRkXThPU6Rl8qjS+nbtD5I448fNOIhfNwhhDrebtadS5\nn8PyX/dsZeuyj7FYrFisVpr1+TvlatYDYM+3y9gfuRqAWi06UL9dGADffDCJ+HPRAKSnJOLh5cvD\nr75HdlYW6z+eQcyJo1itVlo89BR3Va8DwJIpI0hOiMPV3QOwEPbCJDx9S3D54nnWznuT1MRLFPMu\nTvsnR+LjX/IO7R3JS/Xq1XnssccYOXIkAPPmzSMlJYVhw4YB8PnnnzN//nwsFgs+Pj6MHDmShg0b\nAjBw4EBSUlJYsmQJAFFRUUyZMoUFCxbkua65c+fy5ZdfUqxYMVxdXXnkkUfo3r07AwcOJDY2Fg8P\nDzw9PZk4cSKVKlUCoE2bNixduhQ/Pz+qV69Ot27dmDp1KgDZ2dk8+OCD1KtXj1mzZrFs2TL279/P\nyy+/zMyZM5k7dy7r168nICAAgPr167Nnzx57PGvXrmXYsGF88803VKxYEYDo6GieeuopVq5ceat3\ntRQCJfUiN8kYG7HrP6Zs73Bcvf0489lYvCs1wD2grL1MdnpKTpleL+LqE0B2auI163pWqE1A835Y\nLFYubvqc+J0rKNmsHxkXo0k6soNyg6eQlRjH2SWTKf/YG1gsFgCSju3C6u7pEKNr8ZIEtn+SS7u/\nvnM7RuQ2MjYbGz99j54jpuDtV5LF4//JPQ2aEhBc3l6mXM363FO/KQAXTh9n1buv8uiU+VyMPsH+\nTWvoP3YmVhcXvpr+MvfUa0KJwGA6/mO0vf6mxR/i4eUDQFTkN2Cx8MiEWaRcTuCrt17mobHv2st2\neCqcwAqVHWLc/PmH1HywHdUfCOXMob1s+XIu7Z948XbuFrkGd3d3vvvuO4YOHYqfn5/Dsg0bNvDf\n//6XxYsXU6JECQ4cOMAzzzzDl19+ScmSOR/G4uPj2bRpE82bNwewX3f/6LPPPmPr1q0sWbIELy8v\nkpOT+e677+zLp0+fTs2aNVm6dCnTpk1j1qxZudrz9PTk6NGjZGRk4O7uzpYtWwgODs5zfRaLhYCA\nAD766COef/75PGOLiIigVatWRERE2D/EyP8WDb8RuUnp537Fzb8MbsVLYXFxxadqE5J/+dGhTNKh\nH/Cp0hhXn5weFBdP32vW9apwLxZLzilaLLgSWYnxACT/8iM+1ZpgsbrgVqI0bv5lSD/3CwC2zDQu\n/bga//u7O6zfrXgpPEqVA/J+AxJxNueOH8YvKITipYJwcXWl6v2t+PXHrQ5l3DyK2f/PTE/F0yfn\ntwPizp6mzD3VcHVzx2p1IaRqbY7t3pxrHUd2RlKtSeucOtEnKVcjp5ffq7gfHl7exBw/Yi9rjMlV\nP+7sKe6qUReAu6rX5dc9W3OVkTvLxcWFvn378tFHH+VaNmfOHEaOHEmJEjnHSc2aNQkLC2PhwoX2\nMo8//jgffPDBNdfz4Ycf8uqrr+Ll5QWAt7c3PXr0sC+/crzUq1eP06dP55p/RYsWLdi4cSOQk5R3\n7tw533X27NmTr7/+msuXL+dalpKSwt69exk7diwRERHXjF+ck5J6kZuUlRRvT9YBXH0DyE6KcyiT\nGX+O7LQkor+YxJlFr5B4YPN11wW4vD8Sr4o5yUFWcjyuvlfV8fEnKykn4Y/7YQl+DTthcXW/dRso\nUgQlxV/AN6C0fdrXvxRJCRdzlfvlxx/4ZPTf+eqtMbQc8A8ASt5VgbNHokhLTiQzPY0T+3aQFHfB\noV70kZ/xLuFPicCcntHS5e/h1z1bsdmyuRR7jvMnjpEYF2sv/92cN1g09hl2rFhkn1eqXCWO7d4C\nwLFdm8lMSyMtOfHW7QT50ywWCwMGDGDlypUkJSU5LDt27Bg1a9Z0mFerVi2OHTtmn65Xrx7u7u7s\n2LEj33UkJSWRkpJCSEjINeOJjIykcuXKeS6zWCx07tyZVatWkZGRweHDh6lbt26+bXl7e9OrVy8+\n/vhjwPEDwrp162jWrBnBwcGULFmSAwcOXDM2cT4afuMkihUrdkM/QKUfrSoajLGRfv4EZXuHYzLT\niV48nmJlq1xX3fjtX2GxuuBbvWmB5dJjT5KZcJ5SLQeQeSkW8ug5FPmrqdTgASo1eIDoI1Gs+c80\nBr8+l4Dg8jTs1Jdlb4Tj5uFJ6QqVsVgd+7gOb9tI1ftb26drNm9P3NnTLH71WYqXCiS4Sk2s/1+n\nw9BRePuVJDM9jVUzx3Poh3VUfyCU5v3+zoZP3+Pg5m8pW6023v4lc61H7jxvb2/CwsL45JNPKFas\n2LUr/MFTTz3F+++/zwsvvHDDMbzwwgtkZGSQmJjIihUr8i1XtWpVoqOjWbVqFS1btszzG6GrDRw4\nkB49ejBkyBCH+REREQwePBiADh06sHLlylwfYMT5Kal3EqNGjSrsECQfrj7+ZCX+3kOYlRiHy1W9\n7zllAnAp5oPV1R1c3Sl2VzXSY09ds+7l/ZGkHN9L2d7hv7fl7U9WYpxDHVcff9LOHiP9/HFOzv03\nxpZNduplor+cREjv38cIi/yv8PEvReLF8/bpxPgL+PjlfxNqSNV7MdnZpCZdxtOnOLWat6dW8/YA\n/LDkI3yu6vW32bL5ZfcWHhr3nn2e1epCi4eG2qf/O3E4fmVyemK9/3+9bh7FqNakNeeOH6b6A6F4\n+5Wky7BXAMhMT+PYrs14eHrfgq2XmzVo0CDCwsLo2bOnfV7lypXZv38/999/v33e/v37c/WkN2nS\nhBkzZrB37177vPDwcA4ePEhQUBCzZ8/Gy8uLM2fOcNddd+W5/jfffJOaNWsydepU5syZw8svv5xv\nrG3atGHq1KksWLCA+Pj4ArfL19eXLl26sHDhQvuY+kuXLrFt2zaOHDmCxWLBZrNhsVjsNwvL/w51\nGYjcJI+ge8hMiCHz8gVMdhZJR7bhfU99hzLelRqQdvYIxmbDlplO+m+/4B5QtsC6KSf2kbDra8p0\nH47F1c2hraTD2zDZWWReOk9mQgweZSpRom4odz/xDhUen05IvzG4+wcroZf/WUEVq5Jw/iyXL8SQ\nnZXJke0b7TfFXpFw/qz9//MnjgLg6VMcgJTLCQBcvnieX378wT52HuDU/h8JKFvO4Uk1WRnpZKan\nAXBy/26sLq4EBJfHZsv5oACQnZXF8b3bKRlyNwCpSZftPas7Vy22f4iQwnPl9ShRogQdO3a0P8kG\ncsbLv/HGGyQk5BwbBw8eZPny5QwYMCBXO0899RRz5syxT7/++ussX76c2bNnA/DEE08wfvx4+xCf\nlJQUli9fniuOf/3rX6xbt47ffvst31h79+7NsGHDqFLl+r7dffTRR/n888/Jzs4GYPXq1XTv3p31\n69ezbt06NmzYQEhICLt27bqu9sR5qKde5CZZrFZKtxnMb0un5DyWslZL3EuGcGnfeixA8TptcA8o\ni1eF2pxeMBqL1Urx2q1xL5nTy5dXXYALGz7BZGdxdukUAIqVqUzp0EdxLxmCT9X7OPXxSCwurpQO\nfTTfJzBckXbuV86tnIEtPYXk4z8Rv3Up5Qa9fhv3isjtZbW60OqRZ1j25miMzUatFh0IKFuenzdE\ngMVC7VadOLZrM4d+WIvVxQ03Dw86PPX7N14R700gPTkRq4srrQcOc+hBP7Lje4ehN5DzIWD5mznn\nr49/Kdo/MQKA7MxMlr85Glt2NsZmo1yt+tzbsiMAZw7t5YcvP8JisRBSrTatHtETRwrb1dfKIUOG\nsGjRIvu8Nm3acP78efr374/VasXb25tp06bZn3xzdd2WLVsSEBCQ77X34YcfJiUlhd69e+Pm5oab\nmxuPPfZYrnY8PDwYPHgws2bN4tVXX3VYduX/oKAgHnnkkeveRn9/f9q2bcsnn3wC5Ay9efLJJx3K\ntGvXjoiICP7+979z/PhxWrVqhTEGi8VCeHg47dvrA6gzsphrDdCSXMaNG+d0Y9U7zcr/ph4RufW6\n1Aks7BBE/nKefuDuwg5BpNBo+I2IiIiIiJNTUi8iIiIi4uSU1IuIiIiIODkl9SIiIiIiTk5JvYiI\niIiIk9MjLf8iLsSlFHYIIn8pwT5//pcqRUREbpR66kVEREREnJySehERERERJ6ekXkRERETEySmp\nFxERERFxckrqRUREREScnJ5+I3ILNLkngH+3rYwVWLH3Nz7ZdjpXmQbl/Rj+t0q4uliJT8ng6YV7\nKR/gycQeNTGABQjx82RW5HH+uyuaJ1vcTcsqpTBAQkom41cd4nxiOo3v9mdY63twtVrIzLYxc8Ov\n7D6ZAMD7A+pSyseD9MxsDPDPz/ZxKTWToOIejOlcHX8vNy6lZvLKioNcSMq4g3tI5NY7vGc7q+a/\nizE2GrXpTKseDzssP7BzC99+PheLxYLV6kLHR56icu0GXLp4ns9nTiLpUjwWi4X7/taFBzv1ttfb\n8s0Stq1ZjtXqQvUGTen4yFB+2vQd369YjMViwRjDuZO/8uy0OQRXqGSv9/HkcOJjz/Hcmx8BcPzg\nXlZ99C6/nfqFh4eP4977W9yZHSP5ev311wkJCWHQoEEAPP7445QtW5YJEyYAMGXKFIKCgnj00UeZ\nP38+06dP54cffsDHxweAHTt28PTTT1OuXDkyMjL429/+xvDhwwFYtmwZU6dOpUyZMmRkZPDwww8z\nYMAAh/V3796dypUr8+abb9rnjRo1ih9++IF169bh5uZGfHw8vXr1Yvbs2YwYMQKLxcLZs2fx8fHB\n19eXgIAA5s6dy8SJE9m+fTsAxYoV4+233yYkJOS270MpupTUi9wkCzCiXRWeWfQTsUkZfPxYQ74/\nepGTF39/jKi3hwsvtq/CPz/bS2xSBiU83QA4FZfKwHm77e2s+mdTNh6+AMCCraf5MPIEAH0bhfD3\nZhWY9M0RElIy+Pd/f+Zicgb3lPJiRv+6dH13q31dLy8/wJGYJIcY/xVaiVX7zrF6fwwNyvsxrPU9\njFt56PbtFJHbzGazsWLuDP4+djrF/Uvx7qih1Gz8IIEhFexlKtdpSM3GDwJw7uQvLJg2hhHvLsJq\ndaHL4GcoW7EK6akpzBz5JFXqNiYwpAK/7N/DoV0/8NybH+Hi4kry5ZwPzPWat6Ve87Y5bZ36lQXT\nXnZI6KO2R+Lh5e0Qo3+pMvQZFk7kis9v9+6Q69SgQQNWr17NoEGDMMYQHx9PcnKyffmePXsYPXo0\nAF9//TUPPPAA3333HWFhYfYyjRo1YtasWaSnp9OjRw/atWtHrVq1AOjcuTMvv/wyCQkJdOrUiY4d\nOxIQEADAL7/8goeHBz/99BNpaWkUK5bz2FuLxYKrqytLliyhf//+9nlVqlRh+fLlAISHh9O6dWva\ntWsHQEREBLGxsaxcuRKAmJgYvLy8bueuEyeg4TciN6lW2eKcjk/h3OV0sm2Gbw+cp2WVkg5lOtQK\nYv3hWGL/v3f8Umpmrnbuq+hPdEIq5xPTAUjNzLYvK+bmwqXULACOnk/mYnJOO79eSMHD1YqL1WIv\ne9W/dhVLebP7ZDwAP55KoEWVUjexxSKF78yxg5QMDsG/dBlcXF2p+2AbDuzc4lDG3eP33wpIT0vF\nq3gJAHz9S1K2YhUAPDy9CLyrApfjcj5Mb1/zFS17DMDFJafPy7u4X6517928jroPhtqnM9JS2Rzx\nBW16DXQo51c6iDLl78GSxzkphaN+/frs2bMHgKNHj1K1alW8vb1JTEwkIyODX3/9lZo1a3L69Gmy\nsrL4xz/+wapVq/Jsy8PDgxo1anDq1Klcy/z8/ChXrhxnzpyxz4uIiKBLly40a9aMdevWOZQfNGgQ\n8+fPx2azXdd2xMbGUrp0aft0UFAQvr6+11VX/ncpqRe5SaV93Ym5nG6fPn85ndK+Hg5lygd4UryY\nG+8PqMv8RxvQ8d6gXO20rRHImv3nHeY91bIiK55pQpc6ZZi/9WSuOm2ql+bQuUSybcY+75Uu1flk\nSEOGPPh7j+WRmCRaV895A2hVrRSe7i78H3v3HZdV9Qdw/PM8PMiUDSJDRJHhFnEl7oUrgdSGaa6K\nXGnuUZLmyrQ0B5aj8WtpjlLc4A5zkYiKOEEUBEFARObz/P4grz6h5Tby+369fL2ee+45555zWN97\n7rnH8sbyoE6UXVkZV7GydVCOLW3tyc5IK5Xv+IE9zBnemxUzxvJiv2GlzmekJnP5whlcPXwASEu+\nyPmTR1k44R2+CH2XpLOln2jF/LZDL6jf+uMymnd9BcNyRqXyin8XBwcHNBoNKSkpREdHU69ePerU\nqUN0dDSxsbF4enqi0WgIDw8nICCAOnXqkJiYSEZGRqm6srKyOHbsGB4eHqXOXb58maSkJCpVqqSk\nbdy4kYCAAAICApQZ9lucnJyoX78+v/zyy331o2PHjkRGRhIUFMSsWbM4efLkA46E+C+Sv+pl0MyZ\nM8nLy7uvvKGhoU+2MeK+GKhVeDuaM+i7o5iUU7Osjy/HLmWTdO2mcr6Zpy0Ldp7TKxe26zxhu87T\np0QW9jgAACAASURBVLEr77X1YGr4KeVcFTtTBrV0Z+gPMUra++tOkn6jAGNDNR+/VJOAGhXYfPwK\n8yPOMrpDNTrXcuSPi5mkXc9He8eNgBD/VTUaNqNGw2ZcOBnDT59PY9T8/ynn8m/m8t2cyXTtNxQj\nk5KlC9riYm7mXGfw9MVcPHOS7+eGMmbhj0qZi6dPYmhsTAXXygBcvnCG9CuX6dJ3CBmpyeh08nP1\nb1evXj2OHDlCdHQ0/fr1IyUlhSNHjlC+fHl8fX2Bkln1RYsWAdC2bVs2bdqkrI8/dOgQgYGBJCQk\n8PLLL1OtWjWl7vDwcA4cOMD58+cZM2YMVlYlT3piY2OxsbHBwcEBW1tbxo8fT3Z2NhYWFkrZt956\ni8GDB9OiRYt//D6qUKECW7ZsYf/+/URFRdG3b1/mzZtH48aNH+tYibJFgvoyKC8vT4L1f5G06wU4\nWtx+zO9gYUTa9Xy9PKnZ+WTmFlJQrKXgppboi1lUczBTgvoXqtoQl5xDZm7pZTkAm4+n8tnLtW5f\no7wRs16qSeivcSRn3b7Bu7UsJ69Qy5bjV6jhVJ7Nx6+QfqOAcWuOA2BsqKaVlz03CooRoqyytLEj\n8+rtJ1tZ6WlY2NjfM39ln9potcXcuJ6FWXlLiouL+G7OZOo1b0+NBv5KPis7B+WFVlcPH1QqtVIG\n4Oi+COreMUufGH+cS+fi+XjwKxQXF5GTlckXocN5K/Szx91l8ZjcCurj4+Px9PTE0dGRFStWUL58\neYKDg4mPj+fChQv07dsXgMLCQlxcXJSg/taa+qSkJPr06UPfvn1xdHQEbq+pj42NZfjw4bz00kuY\nmpoSHh7OuXPnaNOmDTqdjpycHLZs2UKPHj2Udrm5ueHt7c2mTZtQ3ceaLUNDQ5o1a0azZs2ws7Nj\n+/btEtQ/52T5jRCP6ERyNi7WJjhaGKFRq2hf3YHdp9P18uw6nU4dV0vUKjDSqKnhVJ4Ld7xI2766\nA1tPXNEr42Jtonxu6WWnvPxqbqRhbs9aLNhxjtjL2UoetQosTUru0w3UKvw9bDmbVvIC2K10gL4v\nuLE+JuUx9V6IZ8OlqjfpKZe4lpZCUWEhR/dFUt3vBb086SmXlM+XzsUDKMH5z4tm4eDihn/n7npl\nqjfw52zsEQDSLl+kuLhIKaPT6YiJ2kntpq2V/I3bd2PCkp8Zs/BHQqYuwN7J9a4Bvczg/3v4+vqy\nc+dOrKysUKlUWFpakp2drSzHCQ8PZ+jQoURERBAREcHu3btJTU0lOTlZrx4XFxfeeOMNFi5cWOoa\nNWvWpHXr1nzzzTfodDo2bdrEhg0biIiIIDIykoULF951rX5ISAjLli37xz6cOHGC1NSSm1qtVsup\nU6dk5xshM/VCPCqtDmZvPc3nr9ZBpYJfj6ZwIT2XoHoV0elg3R/JJKTnsv/cNb4f2IBinY51fyRz\n/mpJUG+kUdPQ3ZoZm+L16h3cqgqVbEzQanVcysxj1uaS8z3qO+FsZcwAfzcG+rspW1fmFRYz/5U6\nGKhVqFVw8MI11v1R8kfIt5IVg1tWQQtEJ2by8ZbTT3OIhHjs1AYGvDjgXZZNHYVOp6VB6844uFTm\n922/AtCo3YvE/r6LI7u2YqDRUM7ImNdGTAbgQtwx/tizHcdKVZg3egAqlYoOr76JV71G+LXqxM+L\nZvLpe33RGJaj55AJyjXPnziKlZ0DNg4V76uNSWfj+Hb2JG7eyCHucBTbV65gxNyvHvtYiAfj6elJ\nZmYmL774opLm5eVFXl4eVlZWbNy4kS+++EKvTLt27QgPD6d27dp66a+88goBAQGkpJSeKBk4cCA9\ne/bEz88PR0dH7Oxub1DQoEEDzp49y9WrV/XKeHh4UKNGjX9cI5+ens6kSZMoLCx5ulu7du1S22eK\n549KJ9MHDyw0NPSZLn95mOs3nL7zSTRFCHEP47t4P+smCPHcCart+KybIMQzI8tvhBBCCCGEKOMk\nqBdCCCGEEKKMk6BeCCGEEEKIMk6CeiGEEEIIIco4CeqFEEIIIYQo42RLy+dEdnb+P2cSQjw2VkaG\nz7oJQgghniMyUy+EEEIIIUQZJ0G9EEIIIYQQZdxjWX4zc+ZM8vLyHkdVZUJcXNyzboIQQgghhBCK\nxxLU5+XlPdP/YfVpe576KoQQQggh/v1k+Y0QQgghhBBlnOx+I8RT5O9px4QuXqhVKn4+dImlu87r\nne/frDJd6lVEpwNDAxVV7M1oMnUHpuUMmPVyLWzNjdDpdKw6kMS3vyUCMLhNVXo0dCE9pwCAT7ec\nZm/81afeNyH+rY4f3s/KpZ+h0+lo2q4LHV7qrXf+wK6tbFn9PwCMTUx57Z3ROFeuypVLiSz9+H1Q\nqUCnI+3KZV7s9Satu/Zkww/L2Lv1V8pbWgMQ2DuEGvUbP/W+iQfj4+ODt7c3hYWFaDQaunXrRt++\nfVGpVBw4cIBBgwbh6upKQUEBbdu2ZcSIEQCsXbuW2NhYAgICmDNnDj/++KNSZ3FxMc2bN2fdunXM\nnTuXVq1a0b59e3r37k1ubi6rV68GIDY2llmzZvHtt98CEBMTw+zZs0lNTcXMzAwHBwdGjhxJtWrV\n9Nq8YMECzMzM6Nevn5LWunVr1qxZg5WVFd7e3vTr14+xY8cCsHz5cnJzcxkyZAgLFixg5cqV2Nra\nkpubi5eXF++++y5Vq1YFoHfv3qSlpWFiYoJOp8PNzY158+bplSsqKmLo0KG0b99er11hYWFs3rwZ\ngPj4eLy8vAB46aWXyMzM/Ns23/o66HQ6VCoVnTp14s0339Srf/z48fc1lnd+3XQ6HTY2Nixfvvyu\n43bp0iVCQkJYv379Xcd3/PjxHDhwAAsLC3Q6HSYmJvzwww+sWbOGiRMn8ssvv+Dp6QlA165dWbJk\nCU5OTuTm5jJz5kyioqKwsLDAzMyMUaNGUbt27fvq6+MiQf1T8jjfO5A1/WWTSgXvv+hDv6UHSc3O\nZ9WQxkScSOV82g0lz/I9F1i+5wIALb3t6dPUjet5RRhp1MzccIq45OuYljNg9dAm7D2drpT9as8F\nvtqb8Cy6JcS/mlar5cclcxj+0XysbOyZMXIAdRo1w9GlspLHroITo2YswsTMnOOH9/O/BTMZ+8mX\nVHCuxMR5Xyv1jO8fSL0mLZVybbu9QtvAV59yj8SjMDExYe3atQBkZGQwcuRIbty4wZAhQwDw8/Mj\nLCyM/Px8AgMDad++PTVq1ABApVLh5+fHlStXSE5OpmLFigD89ttvVKtWDXt7+1LXu3btGnv27KFZ\ns2ZKHQBXr15l+PDhfPrpp9SpUweAI0eOkJiYWCqov5tb9QCUK1eObdu28fbbb2NlZVUqb79+/ZTA\nduPGjbzxxhusX78ea+uSG9K5c+dSvXr1e5ZLSEigZ8+epYL6kJAQQkJCAPD19VXGFUoC5b9r851f\nh/t1r7GE21+3x2HcuHG0a9dOL02lUlGxYkXCwsKYO3duqTKTJk3C1dWVbdu2ASU3D2fOnAEerq8P\nS4L6p+Rxvncga/rLptouliSk3+ByZsnN3cajKbSp7lBqtv6WznUcCT+aDMDVnAKu/jkTn1tQzNnU\nHCpYGClB/R2/24QQd7gQfwIHJ1dsHUoCML9mbTj6+x69oL6Kd03ls7tXDTIz0krVE3f0IPaOzljb\nOShpOp3uyTVcPHE2NjZMmTKF7t27K0H9LUZGRvj4+JCYmKgE9VAS3AUEBBAeHs7AgQOBkkC5c+fO\nd73GgAEDWLx4sRKI3vLdd98RHBysBPRQEhjfrzu/9wwMDOjZsycrVqxQnizcS6dOndi9ezcbNmyg\nd++SJ1ZarfZvy7i5uWFoaEhGRgY2Njb33ca/a/PD/Ozcaywft3uNR4sWLTh06BAXLlygcuXKSvrF\nixeJiYlhzpw5SpqzszPOzs7A0/09IWvqhXhKKlgak5J5+2lNSlYeFSyM7prXSKOmmacdW2OvlDrn\nbG2Mj5MFMRezlLReTSqxdlgTpr5UA3MjuVcX4pbMjDS9QNza1oHM9NJB+y17t62nhm/pZTSH9kTg\n17ytXtrO8NV89O4bfPv5DG7eyHl8jRZPza0lGxkZGXrpWVlZHDt2DA8Pj1JlOnfuTHh4OAAFBQXs\n2rWLDh063LX+unXrUq5cOQ4cOKCXfubMmbvOjj8MlUpFr169WL9+PTk5//x96OPjw7lz55Tj0aNH\nExQURFBQELNnzy6V//jx46jVamVm/36tWLFCqTcwMJC0tNs/d/n5+Up6UFAQmzZt+sf67jWWAIcO\nHVKutWTJkgdq5199/PHHSl2jR49W0g0MDBg4cGCpJwKnT5/Gx8dH78nBnR6mrw9L/vr/B9251Edm\n9cumVj72HE7I5HpekV66aTkD5vWqy7T1J8ktKAbg+/2JLIw4C8C77T0Y18WLSauPP/U2C1HWnYo5\nTNT2cEbNWqyXXlxURMyBvQS98Y6S1qJTMJ1f6Y9KpeKX/y1h1bL59Bk24Wk3WTwGd86kHjp0iMDA\nQBISEnj55ZfvuhSmZs2a5ObmcuHCBc6cOUOdOnWwsLC4Z/0hISEsWrSIUaNG3TNPz549ycnJwd/f\nnwkT7u/76M4g0szMjKCgIL755huMjY3/ttxfZ47nzJlz1xuMFStWsHr1as6fP8/8+fPvGbTey53L\nfgDatGmjfDY2Nn6oJSn3Gsv7XX5zrz7cmT527NhSS41u6dKlC2FhYSQlJd13mx+2rw9DZur/g24t\n9ZGA/t/lSlYeFa1MlGNHS2OuZOffNW+nOhUJ/yNZL81ArWJer7r8En2ZyBO3Zzyu3ShUPq86kEQt\nF8vH3HIhyi4rG3sy0m4/8bqWnoqVbem1z0nnz/C/hbMYNGkWZub6AVrs4SgqVfVSXooFKG9prQQC\n/u1fJOH0ySfUA/EkXbx4EQMDA2VZiZ+fH+vWrWP9+vVs3bqVlJSUu5br0qULGzZsYOPGjXTp0uVv\nr9G4cWPy8/M5evSokubh4cHx47cnX1auXMm7777L9evXS5W3trYmKytLL+3GjRulbiT69OnDzz//\nTG5u7t+25+TJk8qLsnDv5SH9+vVjw4YNLFiw4K5r5B/U41iGcrexfBBWVlalxjIzM/Ou7yLcjYGB\nAf379+fLL79U0qpVq0ZcXNy/YjmeBPVCPCXHkrKoZGuKk5UxhgYqOtVxJPJEaql85kYaGrpbE/GX\nc9O61+Bsag7f7kvUS7czL6d8blezAqevyDIAIW6pXM2HtOQk0lOTKSos5NCeCGo31F+Tm5GWwpKZ\nE+g34gPsK7qUquPg7m00aK7/4lzWtXTlc3TULpzcqjyZDojH6s7AKyMjg9DQUF5//fVS+VxcXHjj\njTdYuHDhXevp1KkT69ev5/fff9ebgb6XkJAQli5dqhz36tWLtWvX8scffyhpN2/evGtZPz8/IiMj\nuXGj5B2qrVu36i33uNUnS0tLOnbsqOwQc7c+b9myhX379undiPxTMNqqVSucnJz0doz5qwcNaB8l\nAP7rWD7IdUxNTXFwcGD//v1ASUC/d+9e6tevf99tCwwMJCoqimvXrgElS7hq1qzJ/PnzlTyXLl1i\n165d91Xf4yTLb4R4SrQ6mPrrSZYN8EOlgtUHL3Eu7QYvN3RBB6w8UPI4r20NB/aeTie/6PbLOvXc\nrOha14n4lOusGdYEne721pWjOnniU9ECrU7HpWs3mbz2xDPqoRD/PmoDA155eyTzJ49Aq9XStF0X\nKrpWZvfmdaiAZgGBhP+0gtycbH4I+wR0OtQaDePnLAOgID+PuKOHeH3wWL1613y1kKRzp1Gp1dg6\nONJr0Ni7XF382xQUFBAUFKRsaRkYGEjfvn3vmveVV14hICDgrrP1VatWxdTUlJo1a95zucudSzpa\ntGiBjY2NkmZnZ8dnn32mbGlpY2ODtbU1gwcPLlWPl5cXr7/+Oq+99hpqtRobGxs++uiju16nf//+\nfP/993ppX3/9NevXryc3NxdPT0++/vprvZnp0aNHY2xsrLcd5F8NGjSIsWPH0rVr13/s673cmefW\n1+HWNo/NmjXjvffeu6+yfx3LvxMWFsY333yjXGfnzp3MmjWLDz/8kJkzZ6JSqRg6dCiurq5Kmdmz\nZxMWFqaUWbVqlV6dhoaG9O7dm+nTpytpH330ETNnzqRdu3YYGxtjbW3NmDFjHqqvj0Klewy3EM/b\nUo+H6e/jHKN/qutu573HbXks1xZC3J/F/fyedROEeO608rJ91k0Q4pmR5TdCCCGEEEKUcRLUCyGE\nEEIIUcZJUC+EEEIIIUQZJ0G9EEIIIYQQZZwE9UIIIYQQQpRxsqXlc8LA4MH+JzghxKPR/gv+IxIh\nhBDPD5mpF0IIIYQQooyToF4IIYQQQogyToJ6IYQQQgghyjgJ6oUQQgghhCjj5EXZMsjY2JjQ0NB7\nno+Li3t6jRFCCCGEEM+cBPVl0Lhx4/72/N8F/OLJ8K9my9jO3qhVsObQJZbtuaB3vq+/G13qVEQH\naNQqqtib4T99J9fzipgSVJ0W3vak5xQQ/HmUXrnXGrvySiNXirU6dp+6yqdbTwPgWcGcD7pVx9xY\ng1ar4+XF+yks1qFRq5jY1ZsG7jZodTrmbTtDxIlUxnT0pGEVG3SAiaEBNmbleGHajqcyNkI8KceP\n7OfnpfPQ6XS80LYL7V96Xe/8wV1b2brmOwCMTUx5OWQkLpU9ANj88zcc3LkFldoAZ7cq9B42EY2h\nIeu/+5KYA3tRqcCsvBV93p2ItZ0DF06f5PuFswDQ6XR06N4bv2ZtAVjw4Uiyr6VTXFyEu2cNXh00\nGgMDDXs2r2PXxjWo1WoMyxnx6qDRyvXFs7N9+3aGDBnCpk2bcHd359KlS3Tq1IkqVapQVFREnTp1\nmDp1KiqViry8PCZNmsSpU6cAsLCwYOnSpZiYmHDlyhU+/PBDzp49i06no2XLlowZMwaNRsOBAwfo\n06cPYWFhtGzZEoCQkBAGDBhAgwYNnmHvxX+ZBPVCPCKVCiZ29aH/8kOkZefz06BGRJ5M5fzVXCXP\nV3sT+GpvAgAtvOzo/YIb1/OKAFh35DLf77/I9O419ept4G5NS297gj6Polirw8rUEAC1Cmb2qMWY\nlcc4k5qDhbGGwuKS7RPfalmF9JwCuny2DwBLk5If8Y83xSv1vtbYFa+K5Z/QaAjxdGi1WlYumcuw\nqfOxsrFj1qgB1G7UDEcXNyWPnaMT701fiImZOceP7Of7hbMYM/tL0lNT2Ld1PZMXfo/G0JClH7/P\noT3bady6I+2Ce9G115sA7Niwio0/LqfXkHE4u1Vh3NzlqNVqsq6l89HQ3vi+0Aq1gQEDx0zF2MQU\ngC9nTuTwnggatuxAgxbtaRYQCEDMgb2sXvY5706d9/QHS+gJDw+nZcuWhIeHM2TIEAAqVarE2rVr\n0Wq19OvXj23bttG+fXu++eYb7O3t+eSTTwC4cOECGk3J79UhQ4bQq1cvAgMD0el0TJo0iblz5zJm\nzBgAHB0d9YJ6IZ40WVMvxCOq5WJJQnouyZl5FGl1bIpJobWPwz3zd6pdkY0xKcrxkYRMsm4Wlsr3\nckNXlu2+QLG2JGDPzC3J80I1O+JSrnMmNQeA7D9vDgCC6zvx5a7zynHWzSL+qlNtRzYeTSmVLkRZ\nknD6BPZOrtg6OGKg0VDfvy0xv+/Ry+PuVRMTM/OSz541yEy/CoCJqSkajYaC/JsUFxdRUJCPlY0d\ngBKcAxTk5WFW3hIAw3JGqNUlfzILC/IxMTNDbWCgV6a4qIiiokLMLCxL1ZWfdxPzP9PFs5Obm8vR\no0eZPHky4eHhpc6r1Wpq165NYmIiAKmpqVSoUEE5X7lyZQwNDYmKisLY2JjAwJKbNpVKxfjx41m9\nejX5+fkAeHt7Y25uTlRUVKnrCPEkyEy9EI+ogoURKVl5ynFKVj61XCzumtdIo8bf05aP1p/8x3or\n25lSv7I177bzIL9Iyyeb4zl+KZvKtiWBwpI3fLEyM2RzzBVW7L2AuVHJj/Owdh40cLchMT2XaetP\nci339g1DRUtjnKxN+P1cxqN0WYhnLjM9DWu72zfPVnYOJMSfuGf+fdvWU6N+YwBMzS1oE/gqEwcE\nU87IGJ96DfGue3tJxK//+4Lfd2ymnJERY2Z/qaRfiD/Bt59PJ/1KMv1GhurVvyD0PRLOnMSrth81\nfBsr6bs2riHylx8pyM9j5KywR+22eEQRERH4+/tTsWJFbG1tOXHiBJaWt2+28vPzOXjwIO+88w4A\n3bt3p3///mzevJnGjRsTFBSEm5sbZ86coUaNGnp1m5ub4+zsTEJCgpIWEhLCvHnzaNKkydPpoHiu\nyUz9f9jMmTOfdRPEX7T0tudIQqay9ObvGKhVWJhoeG3JAeZsjmfOK7WV9HqVrBj9Uwx9vjhIm+oO\nNHS3xkCtooKFMUcSMum5aD8xFzMZ3clLr86OtR3ZGnvlifRNiH+rUzGH2R8RTtAbJYHa1ZRLRP7y\nEx8tXcOMFb+Qf/MmB3dtVfK/+PpbTFu2hiZtOrNq6e3lMpU9q/P+5/9j/NzlrFr6GTdzbyjnhoTO\nZcaKXykqKmR/5CYlvUWnYD5cspKX+g/j2/nTn0Jvxd8JDw+nY8eOAAQEBLB+/XoAEhMTCQoKomnT\nptjb29OiRQugZLY9IiKCgQMHkpWVRY8ePTh37tw969f95X+S9vPzA+Dw4cNPojtC6JGg/j8sLy/v\nnzOJR3YlO5+KlsbKsaOlEanZ+XfN2/EBlr6kZOWx/XgqALGXstHpwNLEkCvZeRy+cI3svCLyi7Ts\niU/Dx8mCrJuF3CwsJuJESZktsVfw+cva+Y61HfWW/ghRVlnZ2nMt7fYNaubVVKxs7UvlS7pwhu8X\nfUzIxFmYmpc8QUs4E0dVn1qYlbdAbWBA3SYtOBd3rFRZv+btSDxbejexCi5u2Ds6k3b5ol66xtCQ\nek1aknCm9JO4+s3akHT+9AP3Uzw+WVlZ7N+/n4kTJ9KmTRuWLVvGli1b0Ol0ypr6bdu2cf78eWJj\nY5VyJiYmtG3blsmTJ9O1a1d2796Nh4eHXh6AnJwckpOTcXNz00sPCQlh8eLFT6WP4vkmQb0Qjyg2\nKYtKtqZUtDLG0EBFx9qO7IhLK5XP3EhDA3drIk+mljqn+vPfnSJPptKoqg0AbramaNQqsm4Wsu90\nOtUczSmnUWOgVuHnbsPZtJIZw51xaTR0twagSVVbzqbenkl0tzOlvLGGmItZj6fjQjxDbh4+pCUn\nkZ6aQlFhIYf3bqdWQ3+9PBlpKXw5cyJ9R7yPfUUXJb2CcyXOxx+nsCAfnU7HqZhDOLpUBiA1OUnJ\nd/T33bi4VwMg/Uoy2uLiks+pKaQlJ2Hv5Ep+3k2yrqUDUFxcROyh35Qyd9Z17OA+nNyqPP6BEPdt\n8+bNdOvWjcjISCIiItixYwfOzs6kpNye6LC2tmb48OHMnTsXgCNHjpCdnQ1AQUEBZ86cwdnZmSZN\nmpCXl8cvv/wCQHFxMbNmzSI4OBgjIyO96zZt2pTs7Gzi4+MR4kmSNfVCPCKtDqatP8mXfeuXbGl5\n+BLn0m7Qo4ELoGPVwUsAtKnuwL7T6eQXafXKf9yzFg3crbEyLcf20c1YEHGWdUcus/bwZaYG12Dt\n0CYUFGsZ/3PJrND1vCK+2ZvAykGN0ep07D6Vxt74khcAP91ymhk9ajLWWEPGjUImrb49kxRQ25FN\nMksv/iPUBgb0fPs9Pp88XNnSsqJrZfZsXodKpcK/Qzc2/fQVuTnZ/Bg2B51Oh4FGw9hPluLiXo1G\nLQOY+V5/VGoDXKtUw79DNwB++XoxVy5fRK1WY+foxKshowE4czKGrau/RaMxxMBAw2uDxmJiasb1\nzGuETRtLcVEhOh341G3AC227ALAr/Gfijh5CozHEzMKS3sMmPrPxErBx40befPNNvbQOHTqwZMkS\nVKrb0ypt27ZlwYIFxMTEkJiYqGwTfWvbynbt2gGwcOFCJk+ezKJFi9DpdDRv3pwRI0bc9dohISEM\nHjz4yXRMiD+pdH9dAPYQQkNDn6u90R+mv09zjG5d685r1pi49e8LCSEeq/m9fZ91E4R47rTxtnvW\nTRDimZHlN0IIIYQQQpRxEtQLIYQQQghRxklQL4QQQgghRBknQb0QQgghhBBlnAT1QgghhBBClHES\n1P8HGRsbExoaSlxc6f80RQghhBBC/PfIPvX/QePGjQPQ20Lzzj14hRBPnvaRNwsWQggh7p/M1Ash\nhBBCCFHGSVAvhBBCCCFEGSdBvRBCCCGEEGWcBPVCCCGEEEKUcfKi7EO4tbvMg5CdaP7bmlazZWwn\nL9QqWHP4Msv3XNA737epG53rOKIDNGoVVezNaDZjF9fzipgSVJ0WXnak5xQQvGC/Uua9DtVo6WVH\nQbGOixm5TFpznBv5xQB4VjDng24+mBlp0Gp1vBz2O0XFOgJ9nejzQiW0OkjNzmfcz8fIvlnE6I6e\nNHS3RgeYGBpgY1aOptN3Pq3hEeKJOHFkP6uXzUOr0/FC2y60C35d7/zBXVvZvvY7AIxMTHn57ZE4\nV/YAYMvP33Bw1xbUagOc3Krw+tCJaAwNWf7JB6RevgjAzZzrmJiXZ9zcFSScPskPi2YBoNPpaN+9\nN/X92wKw/rsvOLBjMzdvXOeTH7Yp19+7ZR27N65BrVZjWM6IV94ZrVxfPH0zZszA2dmZPn36ADBg\nwACcnJyYOnUqALNmzaJChQq0a9eOTp06UaVKFXQ6HSqVir59+9KtWzcATp48SVBQEEuXLsXf31+p\n38fHB29vb4qKiqhatSqzZs3CyMiIK1eu8OGHH3L27Fl0Oh0tW7ZkzJgxaDQaDhw4QJ8+fQgLC6Nl\ny5YAhISEMGDAABo0aKDX/vHjx9OqVSvat29fqm9fffUVc+fO5bfffsPc3ByAoKAgZsyYgbe3N8XF\nxfj5+TFlyhS6du0KQHBwMNOmTcPBwYGJEyeSnJxMUVERLi4uLFmy5PEOvngqJKh/CLd2l3kQApKi\nAQAAIABJREFUD3oTIMoOlQomdvFmwIrDpGXn8+M7jdhxMpXzV3OVPF/tS+CrfQkAtPCy4/UXKnE9\nrwiAtUcu811UIjO619Sr97cz6Xy69TQ6HQxv78GbLdz5bOsZ1CqY0b0mY1cd40zqDSyMNRQV69Co\nVYwKqEanufvIzitiRHsPXmtcibAd55i9KV6p99VGrnhXLP8URkaIJ0er1bLyi7kMmzIfSxs7Ph41\ngFoNm+Ho4qbksXN0Yvi0hZiYmXPiyH5+WDSLUR9/SUZqCr9tW8/7C74vCeRnv8/hvdtp1Koj/UdN\nUcqvWbEAU7OSAMnJrQpj5ixHrVaTfS2dacN6U69JK9QGBtRq4E+Lzt2Z8s7Lem1s0Lw9/h0CATh2\nYC9rln/O0CnznsLoiLvx9fVl8+bN9OnTB51Ox7Vr17hx44ZyPjo6mgkTJgBQqVIl1q5de9d6wsPD\nadmyJeHh4XpBvYmJiVJm1KhR/PDDD/Tt25chQ4bQq1cvAgMD0el0TJo0iblz5zJmzBgAHB0d9YL6\nh7Fx40ZeeOEFtm3bRlBQEAD169cnOjoab29v4uLicHd3Jzo6mq5du3Lz5k2SkpLw9vZm8uTJNG3a\nlN69ewMQHx//d5cS/2Ky/EaIR1TL2ZKE9FySM/Mo0urYdCyFVj4O98zfsbYjm2JSlOPohEyy/wzw\n77T/bAa6P7dFjLmYRQULIwBe8LDlVMp1zqSW/DG6VbZIqyMrtwhTo5J7dXMjDWnZ+aXq7VTbkY13\nXF+Isijh9AkcnFyxcXDEQKOhfrO2HDuwRy+Pu1dNTP4Myit71iAz/SoAxqamaDQaCvJvUlxcREF+\nPpY2dqWuEb0vkvrNSmbjDcsZoVaX/MksKMjHxNQMtYHBn3VXx8LKplR5IxNT5XN+3k3MLCwfQ8/F\nw6pXrx7R0dEAnD59Gk9PT8zMzLh+/ToFBQWcO3eO6tWr/2M9W7duZcqUKURFRVFQUHDXPH5+fiQm\nJhIVFYWxsTGBgSU3dyqVivHjx7N69Wry80t+P3t7e2Nubk5UVNRD9evixYsUFRXxzjvvsGHDBiW9\nbt26Sn+jo6N59dVXOXnyJAAxMTHUqFEDlUpFWloajo6OSjlPT8+Haod49iSoF+IROVgYkZKVpxxf\nycpTAvC/MtKo8a9my7bjqQ90jSBfZ3bHpwNQ2a4kUAjrU4+f3mlEP//bM5MzN55i3dAmRIxpRhUH\nM1YfvqRXj6OlMU7Wxvx+LuOBri/Ev01mehpWtrdvnq1sHchMT7tn/t+2r6e6b2MATM0taN3tVd4f\nGMyk/oGYmJnjXUd/qcOZ439gYW2DfUUXJe1C/AmmDXud6cN6E9x/2H21c/fGNYSG9GTNis95sXfI\ng3RRPGYODg5oNBpSUlKIjo6mXr161KlTh+joaGJjY/H09ESjKZkUSUxMJCgoiMDAQIKCgjh8+DAA\nR44cwdXVFQcHBxo1asSuXbuU+nV/zsIUFRWxe/duPD09OXPmDDVq1NBrh7m5Oc7OziQkJChpISEh\nLFq06KH6FR4eTkBAAHXq1CExMZGMjJLf776+vnpBvZ+fH+XKlSM3N1fpP0CvXr2YMGECb7zxBmFh\nYaSmPtjfJ/HvIUH9f5ixsfGzboL4i5be9hxJyFSW3tyPt1q4U6TVKrP7Bmo19dysGLPyGH2+PEib\n6g40cLfGtJwBE7p4EbwgijYf7yE+JYe3Wrjr1dWxVgW2xcovbPF8iT92mP0R4QS+8Q4AV1MusePX\nn5jy5RqmLf+F/LybHNy1Va/M4T3blVn6Wyp7Vmfi/P8xdu5yfl76GTdzb/BPmncKJjRsJcH9h/Hd\n59MfX6fEQ6lXrx5HjhwhOjqaunXrUqdOHeXY19dXyXdr+c26detYu3Yt9evXB0oC6I4dOwIQEBDA\n+vXrlTL5+fkEBQXRo0cPnJ2d6d69+z3bcesG4BY/Pz8A5ebhQdzZprZt27Jp0yYAnJycKCws5OrV\nq5w/fx53d3dq1arF0aNH9frr7+9PREQEPXv25Ny5cwQHB3Pt2rUHbod49mRN/X/Yw6z9Fw8uNTuf\nipa3b6AqWBpz5S7LXqAkqN70AEtfutWrSDNPO/ovP6SkXcnK49CFa8qym93xV6nuZMHNgmKSMm5y\nObPkqcGW2CsMaFZZ//q1HfnoV3lpW5R9Vrb2XLt6RTnOTE/Fyta+VL5LF87ww6KPGfTBHEzNLQBI\nPBNHFZ9amJUvOa7buAXnTx2jQYuSFxC1xcX8sX8XY+cuv+u1Kzi7YefoTNrli1Ty8L6v9tb3b8NP\ni2c/UB/F43crqI+Pj8fT0xNHR0dWrFhB+fLlCQ4O/tuyWq2WLVu2EBkZyeLFi9HpdGRmZpKbm4up\nqSnGxsal1uF7eHiwZcsWvbScnBySk5Nxc3MjMzNTSQ8JCWHx4sXK04L7ER8fz4ULF+jbty8AhYWF\nuLi40KtXL6W/mzdvxt6+5GejTp06HD58mGPHjlG3bl2lHgsLCzp37kznzp0JCQnh0KFDtGvX7r7b\nIf4dZKZeiEcUeymLSramVLQyRmOgomMtR3bGlV4GYG6kwc/dmsiTpc+p7lJv02q29POvzJD//UFh\n8e1ZnX1n0vGsUJ5yGjUGahUNKltzNjWHpGs3cbc3w9LEEIAmHracS7s9k+huZ0p5Yw0xSVmP3mkh\nnjE3Dx/SkpPISE2hqLCQw3u2U6uBv16ejLQUls6aSJ/h7+sto3FwrsT5U8cpLMhHp9NxKuYQFVwq\nK+fjjh7E0cUNK5vbNwnpV5LRFpfsPpWRmkJaShL2Tq561/vr7GtacpLyOfbgPpzcqjxyv8Wj8fX1\nZefOnVhZWaFSqbC0tCQ7O1tvOcq9/Pbbb3h7e7Njxw4iIiKIjIykQ4cObNtWsuPRX7/+AE2aNCEv\nL49ffvkFgOLiYmbNmkVwcDBGRvrLNJs2bUp2dvbfvqj612uEh4czdOhQIiIiiIiIYPfu3aSmppKc\nnAyUrKv/+uuvlQC+bt26/PLLL9jZ2Sm75Ozfv5+8vJLJoJycHBITE6lYseLfjoX4d5KZeiEekVYH\n0zbE8cUbvqhVKtYcucS5tBv0aOCMTgc/HypZ1966uj37TqeTX6TVKz+rR00auNtgZWrItlH+LIw8\nx7ojl5nQ2RtDjYov+5U8Io25mMVH6+O4nlfE1/sS+OmdRuh0Onafusre0yXr7edtO8OKAfXR6uBy\n5k0mrT6uXCegliObj11BiP8CtYEBPd96jwWhw9HpdDRp2wVH18rs3bIOUOHfoRubV37FjZxsfloy\nB3Q6DDQaRs9eiot7NRq1CmDWyP6o1Qa4VKmGf/tuSt2H90ZQv5n+LOXZkzFsW/MtBhpDDAw0vDpo\nLCamZgCs+3oRh3Zvo7CggPcHBvNCuy50fLk/u8J/5lTMIQw0hpiXt+T1YROf5hCJu/D09CQzM5MX\nX3xRSfPy8iIvLw8rKysl7eLFiwQFBSlbWr700kucOHGi1Ox1u3bt+PHHH+nWrRsq1d2mZ2DhwoVM\nnjyZRYsWodPpaN68OSNGjLhr3pCQEAYPHnzP9k+ePJkZM2YAJbvmpKen88UXX5RqU3h4OAMHDsTX\n15eZM2cqQb29vT1arVZvqdHx48eZOnUqGo0GrVZLz549qVlTfzc2UTaodHe7tXxAoaGhsmXjP3jW\nY1Rz0rZ/ziSEeGw+7fX3s35CiMevnU/pXYyEeF7I8hshhBBCCCHKOAnqhRBCCCGEKOMkqBdCCCGE\nEKKMk6BeCCGEEEKIMk6CeiGEEEIIIco4CeqFEEIIIYQo42Sf+ufE2Zgzz7oJQjxXvN5r/qybIIQQ\n4jkiM/VCCCGEEEKUcRLUCyGEEEIIUcZJUC+EEEIIIUQZJ0G9EEIIIYQQZZwE9UI8Bu18Xflj0SvE\nLH6VkcF1S523KW/Eusmd2f9ZDw7O78nrrb2Uc6O61+Pwgpc5ML8nK95rg6Gm5Meyvoc9ez4JJuqz\n7uz5JBhfD3sAymnUfDWyLQfm9+TwgpcZ9VI9pa7ebbw4OL8n+z/rwdoPOmFtbgSAq5054VO68vu8\nHmz66EUq2pg+yeEQ4qk4GLWX/i+/SN+eXfnx2+Wlzl9MOM+7b/amUws/fv7hG71zc6ZNpkenlrz1\n+kt66bsjt/JmryA6NK3L6VMnlPTsrCxGDxnAi20as3DuTL0yK5Z8zmuB7enWpole+rE/DjOo78sE\n+PuyZ+f2R+2ueAx8fHwICgqia9euDB06lNzcXAAOHDhASEiIXt7x48ezdetWAHr37s1LL93+XomN\njaV37956+adNm0bz5vovyDdu3Jjr168DkJaWhre3N0eOHFHON2nShKysLOW4W7dujBw5UjletWoV\nI0aMUI5zcnJo164dSUlJD9V/8d8mQb0Qj0ilgk/fbsaLkzfgO+QnejSvhqezlV6ekM61iDl/lcbD\nVxEw8Vdm9n8BA7WKSvbm9G9fncbDV9Fw2Eo0Bmp6NPMAYFrfJoT+7wBNhv/M1O8PMb1vScDQo3k1\nABoOW0nT935mQEB1XO3M0RiomdHvBdqNX0fj4as4npBBSOeaAMzo34RvI+No9O4qpv94iKl9Gj/F\nERLi8dNqtSyYM4MZn4Wx9Ps17Ni2icQL5/XyWFhaMXjkeHq+1rdU+Q5dujHjs7BS6e5VqzF55mfU\nrldfL72cUTn6vjWUt4eOKlWmiX9LFi7/oVR6BUcnRr//Ea07dHrA3oknxcTEhLVr17J+/XrMzMz4\n6aef7rvstWvX2LNnj3KsUqmUzzqdjh07duDh4cGBAweU9Lp16xIdHQ1AdHQ01atXV47Pnz+PtbU1\nlpaWAJw9exYjIyP++OMP8vLyAOjRowcpKSlERUUBMH/+fHr06IGLi8tDjoD4L5OgXohH1MCzAmcu\nZ5GYlkNRsZaf95yha6PKenmuXMulvIkhAOamhmRcz6NYqyM7t4CComLMjDQYqFWYGGlIzrgBQMq1\nXCzNygFgZV6Oy3+mX7mWi6mxBrVahamRhvzCYrJvFlBUrOVaTh7lTUrKlDe9Xcbb1YbdMZcB2BN7\nmS5/aZ8QZU3ciWM4u1aiQkUnNBpDWrUN4Lc9O/TyWFpZ4+ldHQONQanyNev4Ur68Ral0Vzd3XFzd\n0On0042NTahRuy6GhoalynjXqIW1jW2pdAfHirhXraYX/Il/j7p165KYmHjf+QcMGMDixYvveu73\n33/H29ub7t27s2HDBiW9Xr16ekF93759+eOPP5RjX19fJW94eDhdunTB39+fiIgIJT00NJTp06cT\nGxvL/v376d+//wP1Uzw/JKgX4hE52ZiRdDVHOU5Kz8HJ1kwvz/KtJ/BxteHcij4cmNeTUV/uAyDz\nRgHz1h0lfllvzn7Vh6wb+ew4egmA97/ez6z+TYlf9jrT3mjCB9/sB2B79EWu5xZw/qs3iPvydT5b\ne5SsGwUAjPpyH4cWvMzZFb3xdrHi621xAMScv0q3Ju4AdGvijrmxIVZ/3jAIURalp6ViX8FRObZz\nqEB6WuozbJEoC3R/3q0VFxfz22+/4eHhcd9l69atS7ly5fRm4m8JDw+nU6dOtGzZkt27d1NcXAyA\nr6+vEtTHxMTQrl07kpOTgZKgvl6928snN27cSEBAAAEBAaxfv15J9/Lywt/fn759+/LBBx+g0ch/\nMSTuTr4z/mVmzpypPHZ7HEJDQx9bXeLhje7uy7EL6QRM+hV3RwvCp3SlwbCfsLc0YeiLtfEa+D+y\ncgv4YWx7Xm5ejZ92n2bxsJa898Ue1v9+gaAXqhA2rBVdPtjAKy2rYVJOQ+U3vsK2vDHbZwYSeTSJ\njOt5zH3LnwbDVpKYep25b/kzpocvH686woQVUXz6djNeb+PNvuOXuZxxg2Kt7p8bLoQQ/yH5+fkE\nBQWRkpKCi4sLr776KsA9n6b8NT0kJIRFixYxatTtZViFhYXs2rWLCRMmYGJiQu3atdm7dy8tWrSg\nVq1anDx5kps3b1JcXIyJiQmurq4kJiYSHR2tzLrHxsZiY2ODg4MDtra2jB8/nuzsbCwsSp4mvfba\na+zZswc/P78nMSziP0KC+n+ZvLw8CcTLmMsZN3C1N1eOXWzNuZx+Qy9PEx9HPl5V8nLU+ZRsLlzJ\nxsvFGvcKFkSdTOFaTj4A66LO09inAj/tPk0Dzwp0+aDkMe7a386xaEhLABp7O/Lr/vPodHA1O4+o\nkynU97DnYloO569kk5ha8lLW6r1nee+lkpd2U67l8urMLQCYGmkIfKEK128WPrlBEeIJs7V3IDUl\nWTm+mnoFW3uHZ9giURYYGxuzdu1a8vPzGTBgAJGRkbRt2xYrKyu9F1YBMjMzsba21ktr3Lgx8+bN\n4+jRo0ranj17uH79Ol26dEGn05Gfn4+RkREtWrTA2NgYNzc3Vq9eTfXq1QGoU6cOu3btIiMjA3f3\nkieo4eHhnDt3jjZt2qDT6cjJyWHLli306NEDALVaLcu4xD+S5TdCPKJDp1OpWtGSSvbmGGrUdG/m\nwYYDF/TynEq6Rqs6JS82OViZUM3JivMp2cRfyqShVwWMDEvW/Laq48zJxGsAnLmchX+NigC0rO3M\n2eSSPzjxSZm0rOMMlAToDb0qcCopk/Mp2Xg5W2NTvmTHm9Z1XTh1MRNASYOSpwZfb497QqMhxNPh\n5VOTy0kXuZJ8mcLCQnZs30yTZi3vmV/310XygA7dXdNvl7n/um7V98CViafq1tfOyMiIiRMnMnfu\nXADc3NxIS0vj3LlzAFy6dIlTp07h7e1dqo6QkBCWLl2qHIeHhzNt2jQiIiKIjIxk+/bt7Nu3j/z8\nksmaunXr8vXXX1O3bl3l+JtvvqFOnTpKmzZt2sSGDRuUOhYuXKi3Nl+I+yEz9UI8Iq1Wx4gle1j/\nYVfUavh6WxynkjIZ0KE6OnQs33KS2auiWfJuK36f1wOVSsXEr6O4lpPPtZx8vt8Rz2+fdqdYq+Po\nuass33oSgKGLdvHZ280wNFSTX1DM4IW7AFi6+Thhw1pxcH5PVCoVX287yYnEDAA++PZ3tkzrRrFW\nR2Ladd76LBKA5jWdmdKnEVqdjr3HkxketufunRGijDAwMGDIyPGMG/42Wq2Ojl2DcKtchQ1rV6FS\nqegc2J1rGekM7vcKubm5qFUq1q78jmXfr8PE1JTpH4zlaPQhrmdl8lpge/oMHERAl0D27Ypk4dwZ\nZGVm8v6oIVSt5sX0T0tejuwdHEBubi5FhYX8tmcHMz9bQqXK7ny58FN2bN1Ifn4+rwW2p2PXYHoP\nCOHUyeN8OG44OTnX+X3fbr5Zupgvv1vzjEfu+XbnbLePjw9ubm5s3LiRTp06MXv2bMaPH09BQQEa\njYZp06Zhbm5eqlyLFi2wsbFBpVKRl5fH3r17mTJlinLexMQEPz8/IiMj6dixI76+vnz77bfK+vnq\n1atz5coVevbsCcChQ4dwdHTEzs5OqaNBgwacPXuWq1ev6qUL8XdUur+bprhPoaGhsmTkH9zvGD2p\nsTR58e5v7AshnoxTX8kOFUI8bZVsjP45kxD/UbL8RgghhBBCiDJOgnohhBBCCCHKOAnqhRBCCCGE\nKOMkqBdCCCGEEKKMk6BeCCGEEEKIMk6CeiGEEEIIIco42af+OWFqbfWsmyDEc+X6zaJn3QQhnkOy\npaV4fslMvRBCCCGEEGWcBPVCCCGEEEKUcRLUCyGEEEIIUcbJmvqnxNjYmNDQ0H/MFxcX9+QbI4QQ\nQggh/lMkqH9Kxo0bd1/57ifwF0IIIYQQ4k4S1AvxGLSuVZHpr/miUsN3u84xf+NJvfPWZuUIC2lC\nBUsTDNQqFm2O44e953GyNmHRW02wtzRGq9Xx7a6zfLEtHgBLU0OWDW6Kq60ZiVdv0H/hPq7fLASg\nuqsVc97wo7yJIcVaHW1Dt1JYrEVjoGJWbz/8vR0o1uqYtjqG8MNJONuY8vnARtiWN+JaTgEhS6JI\nybz51MdJiMfpyIF9rFg4B61OS5uOgQS/2lfv/KXECyz4OJRzp+PoNXAIL/Z4HYDLFxOYM3UcoAJ0\nXEm+xKv93qFz8KucPxvPF59OJy/vJg6OTgyfOA0TE1NOxx0nbO5HAGi1Wl7q1R//Vh0AmDpuCJkZ\n6RQVFeFZvRYhIyZgYKDhRMwRli/8hIRzZxj5/gwaN2/zFEdH3I2Pjw/e3t4UFhai0Wjo1q0bffv2\nRaVSceDAAQYNGoSrqysFBQW0bduWESNGALBgwQLMzMzo16+fUlfr1q1Zs2YNVlZWpKenM336dGJi\nYrCwsMDQ0JCBAwfStm1bJX9wcDA//fQTHTp0oGbNmsyfPx+ALVu2sHPnTmbMmKHkHTRoEOnp6fz0\n009K2oIFC1i5ciW2trYUFRUxdOhQ2rdvr5xftmwZP//8M8bGxmg0Gl5//XW6detGYWEhs2fPZufO\nnahUKjw8PPjggw8wMjJS+p6WloZarcbGxgaVSsXKlStp2LAh0dHRAFy4cIHp06eTkJCAmZkZbm5u\nvP/++9jY2DyZL5R4KBLUC/GIVCqY1bs+QbMiScm8yfbJHdgUncTp5OtKnoHtPIlNzOTlVbuwMS/H\n77O6sPK3CxRpdUz64QixiZmYGWmI/LADO2KTOZ18neFdqrPr+BU+33iSYZ18GNGlOlNWHUWtUrH4\nrca8HRZF3KUsLE0NKSzWAvBe1xqkZeXRaFw4AFZm5QCY8mo9fth7nlW/XaCptwMf9KzDoC/2P/3B\nEuIx0Wq1LJ0/i9BPwrCxs2fMO71p2LQFLpXclTzlLS0ZOGwMv+/dqVfWydWNOV/8oNTz5ssBNGrW\nGoDFn0yl36D38KlVj8jNv7Lux695td87uFXxYHbYd6jVaq5lXGV4/540ad4WAwMDRk3+GBMTUwA+\nDh3N3h1badG2E/YVKjJ03BR+Xfnt0xkU8Y9MTExYu3YtABkZGYwcOZIbN24wZMgQAPz8/AgLCyM/\nP5/AwEDat29PjRo17lqXSqVSPg8ePJjg4GDmzJkDQHJyMpGRkcr5pKQkHB0dMTQ0BOD48eOcPXuW\nqlWrlqr3+vXrnD59mvLly5OUlISLi4tyrl+/fvTr14+EhAR69uypBPU//PADUVFRrF69GlNTU27c\nuMG2bdsAmDt3Lrm5uWzduhWANWvWMGTIEFatWsW6deuAu9+03OpfQUEBb7/9NhMmTKBFixYAHDx4\nkIyMDAnq/2XkRVkhHlH9Kracu3KdpPRciop1rP09gY71XPTypGbexNy45B7a3NiQjJx8irU6UrPy\niE3MBOBGfhHxl7OpaF0SHHSs58KPe88D8OO+83TyLamzVS1Hjl/MJO5SFgBZuYXKdXo1r8JnG04o\nx5k3CgDwcrJg78krAOyLS6VjPefHPg5CPE2n42Kp6FIJB0cnNBpD/Ft14MC+XXp5LCytqepZHQMD\ng3vWE3P4dxydXLCzrwBA8qVEfGrVA6B2/Ubs3x0BQLlyRqjVJX8yC/LzMTUzV+q9FdAXFRVSVFhI\neQtLAOwrVMTN3eMx9lo8TjY2NkyZMoVvvy1902VkZISPjw+JiYn3LK/T6QCIiorC0NCQnj17Kucq\nVqxIr169lOM9e/bQrFkz5bh///4sXrz4rvVu3bqV1q1bExAQQHh4+F3zuLm5YWhoSEZGBgBffPEF\nH374IaamJd+LZmZmBAYGkpeXx5o1a5gwYYJSNjg4GCMjI/bvv7+JnfXr11OvXj0loAdo0KABHh7y\nvf1vI0G9EI+oorUJlzJylePL125S0dpEL883u87i5WzJ8c+6sfujjkz47kipelztzKhZyYpDZ64C\nYGdhRFp2HgCpWXn/Z+++w6OovgaOf2d3Uza9kEIKoSQQgvQgvQQEQUWqiiLVFwuIigqhN+mKhSKo\nVBUFpAoISFOQXkILLfQAIb2StsnO+0d+DKyJEKUE9Hyeh8fMnXvv3BlTztw5c5dSTgUfqlLByxGA\npR80Y8voVrzdJhgAR2PBDNDQTtXYMuZp5vRtgLtjQZvjl1N4rnbBTcFztf2wtzXgbGd1366BEA9b\nUkK8FogDuHt4kpQQ97f72fnbrzRq3lrb9i9bQbs52PXbJhJv6zPq5HHe7f0C7732Ar36vm/Rz9jw\nfvTu3AprGxtqPdnwb49DlAx/f39UVdWC45tSU1M5duzYHQPXmzPZZ8+e/cvZ/JtuD+oVRaFNmzac\nPHmS6OjoQnXXrVvHM888Q5s2bVi7dm2R/UVGRqLT6XB1dSUjI4PMzEx8fQtP1ly6dAlfX18t2L+p\nSpUqnD179o5jvikqKuqu5yceDZJ+8y8wadIksrOzi9wnL94+GgY8F0Lk5RTaT9pKWU8Hlg8Mo8nw\n9dzIKfjUUXsbAwvebsjQRYfIzM0vsg/1f/816HU8GVSKFqM2kmMyszI8jMMXkoiMTsHH1Y69UfGM\nXBzBm09X4qOXa9L36z2MWhzB5G6hdGlcnt2n44hJzsJsVos8jhD/FXl5Jvbv+p1X+7yjlb09cBRz\npk/mp++/oU6DphgMt/5MBlV+gi/m/cTVyxcZG96PJ2qEYmfvAMDIyTMxmUxMHRvOtl/XEtbquYd+\nPuKfuTnjDnDgwAHat2/PpUuXeOmllwgKCrpju9tTcG4aO3YsBw8exNramp9++gmTyURsbKxFGo1O\np+O1115j9uzZNGnSRCtPTEzk0qVLVK9eHQArKyvOnj2r3VzMnz+f5cuXc+HCBaZNm1bk8cV/lwT1\n/wLZ2dkSvJegmOQs/NzstW0fVyMxyZYvoT4Z5MGnayIBuBiXweX4DIJKO3H4YhJ6ncL8txuxZOdF\n1kdc1drEp2Xj4WRLfFo2ns62JPxv1v5aUia7T8draTebj8ZQrawbf5yKIzMnj3UHrwDw877LdG1c\nHoDY1Gx6zvgDADtrPW1D/UnPzntAV0SIB8+tlAfxcde17cT4ONxKef6tPg7t3UX5ipVxdnHVynz8\nAxg55UsArl25zME9Owq18y1TFm8fP2KuXqZCxRCt3MrKinqNmxN1KlKC+sdEdHQ0er2B6IjMAAAg\nAElEQVReyw2/mVN/5coVunfvTs+ePfH29sbV1ZX4+HiLtpmZmTg5OREYGKjlqwOMHDmS5ORkOnfu\nDBTcKNSuXVvbf/Mm4vnnn+err76yuHH45ZdfSEtLo0WLFqiqyo0bN1i7di3vvfcecCunftu2bUyb\nNo0WLVrg4OCAnZ1dofx7gDJlynDt2jUyMzMtZusjIyMJCwsr1jUKDAxk//79xaorSpak3whxjw6d\nT6KclwN+7nZY6XV0qBvAhtuCc4Az19JoWsUbAA8nWyp4O3IxPgOA6f9Xl9PXUrVVb27aEHGVlxsV\nvPTXpWE51h8q6HPr8RhC/JyxsdKh1yk0qOTJ6WsF+fUbDl+lUXBBYNO0irdW7vq/F2YB3msbwqLt\n5+/3ZRDioQqsVIXrV6OJu34Nk8nEH9s28mSDJn9Z//bZ2Jv+2LqBxrel3gCkpiQDBS/QLvt+Dk+3\nLQjM4q5fIz8/X/s65mo0pX3LkJ2VRXJSQcpcfn4eB/f+QbnASoWP/89OU9xnt38fJCUlMXr0aF59\n9dVC9fz8/OjRowczZ84ECoL9rVu3cuPGDaAg7z04OBhFUahfvz65ubksXrxYa5+VdWtiZ8eOHRaz\n8TcZDAZ69OjBwoULtbJ169Yxd+5ctmzZwtatW1m+fHmRefVhYWH4+PiwZs0aAPr06cPYsWPJyCj4\nu5KZmcmqVaswGo106NCBiRMnYjYXLKiwatUqsrOzqVevXrGuVdu2bTl8+DC//37rnZUDBw4UO31H\nPDwyUy/EPTKrKuHfHWT5wDAURWHR9nOciUmjR7MKqMC3v53j87WRTP+/evz+UWsURWH00iOk3Mjl\nyaBSdK4fwInoVLaNbY2qqoxbdpStx2L4Yt1J5vVrSNcm5YlOLFjSEiAt08SXG06zZfTTmFXYdOQa\nW47GADB26RFmvVGfcUYrEtNz6D+n4EWoRpU9Gf5CdVQz7DoTx6BvD5TU5RLivtDr9fzfO+GMHdQP\n9X9LWvoFlGfjmmUoikKr5zqRkpTIwLdeJSvzBjqdjnUrfuSL+cswGu3Iyc7i6KG9vPXBcIt+/9i6\ngfWrlqIoCnUbh9G89fMAnDwWwYofF2AwWGEwGHjrg+HY2TuQkpzExGEDyMszoaoqNULr0aJNOwDO\nnj7B5JEfcCMjnYN7drBk4Vd8PnfpQ79W4pbc3Fw6dOigLWnZvn17evbsWWTdLl260Lp1a65fv06l\nSpV49dVXeeWVV7SlH8eNG6fVnTlzJhMmTGDOnDm4ublhNBoZOHAgAPv27dNm2sFy1ZzOnTsze/Zs\nFEXh6tWrxMTEUK1aNW2/n58fjo6OHD16tND4+vbtS3h4OG3btuWVV14hMzOTzp07Y2VlhZWVlbaS\nzYABA5gyZQpPP/00Op2O8uXLazcrd3JznDY2NsyePZvx48czYcIErKysqFSpEsOGDbtrH+LhUtSi\npi/+ptGjR0v6x33yT65lcdq49/jxnw9KCPG3bZ/wfEkPQYj/nCq+9nev9BDFxsYyYsQIvv7665Ie\nivgPkPQbIYQQQogHwMvLSwJ68dBIUC+EEEIIIcRjToJ6IYQQQgghHnMS1AshhBBCCPGYk6BeCCGE\nEEKIx5wsafmIsbW1/dur35w6dequdWxsbf7hiIQQ/0RunrmkhyCEEOI/RIL6R8zgwYP/dhtZTlQI\nIYQQ4r9N0m+EEEIIIYR4zElQL4QQQgghxGNOgnohhBBCCCEecxLUCyGEEEII8ZiTF2WFuA+aVfFi\n7IvVUBRYvPMSMzeesdj/ZssgOj7pjwoY9ApB3o488cE60rJMvNa8Aq80KgvADzsuMnfbOQCereXD\nB89VJqi0E89M2Max6BQADDqFKa/WpFqAK2azysilR9kTlYCtlY6vXq9LWQ978swqm45eZ9KqSItx\nPFPTh69fr0ub2/oT4nF1eP8uvp01FbOqEtb6edq91NNi/x9bN/Dz0oUAGI129O4/mIDyQXdse+50\nJPNmTCY/Lw+9wUDv/oOpUDEEgFU/zue3jT+j0+vp8daHVA+tR3ZWJqPf/z9QFFBVEhPiaNziGbq/\n+T4Au3/fxPLvv0FRFALKV+TtwR89nIsjihQbG8uYMWM4d+4cqqrSrFkzBg4cyN69e/nkk08AuHTp\nEl5eXhiNRipVqkTHjh2ZN28es2fP1voZMmQIYWFhtGrVim7duhEfH4/RaERVVQICAvjiiy+YMWMG\nS5cuxd3dnby8PPr370+rVq2KHNeSJUtYsGABiqLg4OBAeHg4tWvXBtD6t7W1RVEU3nrrLVq1akXl\nypUJDg5GVVUURWHmzJlcuXKFvn374u/vr5UPGjSI+vXrExwcTK9evQgPDwdg3rx5ZGZm8vbbb3Ph\nwgVGjhxJeno6JpOJ2rVrM3bsWPbt2/eX/c2aNYt169ah0+nQ6/WMGTOGatWqPeD/g+JOJKgX4h4p\nCozvUp0XP9tBbEo264eGsfHwNc7GZmh1Zm+KYvamKACequpNnxaBpGWZqFjakZcblqXNhG3k5Zv5\n4Z2GbDoWw+WETE5dTeO12XuY3LWmxfG6Ni6HqsJTH23BzcGaRe80pM2EbQDM+jWKPVEJ6HUKP73f\nmKYhnvx+Ig4AOxs9rzWvwKELSQ/pygjx4JjNZubPnMLwybNwdfdg2NvdCa3fDN8yZbU6XqV9GT31\nG+zsHTi8fxfffD6ecdMW3LHtojnTeLFHX6qH1iNi304WffMFIz/+iiuXzrNn+yamzv2JxPg4xg/u\ny+fzV2JrtGPSrB+0Yw7t1426jZsDcP1qND8vWcjYz+dhZ+9AWqrcSJe0t99+m65du9K+fXtUVWX4\n8OF89tlnDBo0iEaNGgHQvXt3Bg8eTEhIwc3cvn377trvp59+qtW/Xa9evejVqxeXLl3ixRdfLDKo\n37ZtG0uXLmXx4sU4Oztz4sQJ+vXrx7Jly3B3d//L/o1GIytXrrQou3LlCqGhoRY3IDdZW1uzadMm\n3njjDVxcXCz2jRs3jt69exMWFgZAVFSUtq+o/g4fPszvv//OqlWrMBgMpKSkYDKZ7nSJxEMg6TdC\n3KOaZV25EJfB1aQs8swqq/df4ekaPn9Zv30dP1btjwYgqLQjEReSyM0zY1Zhd1QCz9T0BeBcbAYX\n4m6gKIpF+4qlHfnjdDwASRm5pGWaqBbgQrbJzJ6oBADyzSrHLqfg42rU2g16PoQZG86QI+uni3+B\nc6cj8fYpg4dXaQwGAw2ateLA7t8s6gRVroqdvYP2dVJC/F3buriVIiuz4IY880Y6bu6eABzcvZ36\nzVqh1xvw9PbB26cMZ09ZPgm7duUSaanJVKpSA4At61fS6vkXtDE4OVsGUuLh2r17N7a2trRv3x4A\nRVEYMmQIy5cvJycnR6unqiqqqv6tvs3mO/9eDQgIwMrKiqSkwpMqc+bMITw8HGdnZwBCQkLo0KED\nixYtumP/f3eMer2eF198kfnz5xfal5CQgJeXl7YdFBR0x77i4+NxdXXFYCiYG3ZxccHDw+NvjUfc\nfxLUC3GPvF2MXEvO0ravpWTh7WJbZF1bKx3Nqnix7tA1AE5fTaNuUCmc7awwWulp8YS3RSBelMgr\nqTxdvTQ6Bfzd7ahaxgUfVzuLOk5GK1pW82bHqYIg5gl/Z0q7GtkWGXsvpyrEIyMpIQ53j1tBiFsp\nT5L/F7QXZev6VdSo0+CubV95rT/fzv6Mfl2fZdE30+nSu19Bm8Q43D28b2vjQXJinMUxdv+2ifpN\nW2rb169c5tqVS4wa8Boj3uvNkQO77+GMxb06e/YsVapUsShzcHDA19eXS5cu3bHtgQMH6NChAx06\ndKB9+/Zs3brVYv/AgQO1/R9//HGh9pGRkeh0OlxdXYsc159n4atUqcLZs2ct+m/fvj0dOnQgNTUV\ngJycHG08/fv3LzTWm/WjowsmkRRFoWvXrqxZs4aMjAyL4/Xo0YPu3bvz+uuvs2DBAtLT0+/YX8OG\nDYmJiaF169aMGTOG/fv33/H6iYdD0m/+Be70KbTywVSPlpbVSrP/bCJpWQWPKc/GZjBz4xkWv9eI\nG9l5HI9OIf8usy+Ld14kqLQj64c250piJvvPJWI232qjU2Dma3WYs+UsVxIzARj1QjXem3/gVifK\nn3sV4t8r8vABfv91DaM/nXPXul9NHUuvfgOp07AZe7Zv5qupYxk2+ctiHWf377/SL3ystp2fn0/s\ntWhGTf2GhLjrjPmgDx9/vUSbuRePhuLMeP85BWXIkCEW+6dOnVpk+s38+fNZvnw5Fy5cYNq0aYWe\nvBZXUf3b2toWSr8paqy3s7e3p0OHDnz77bfY2t6afOrYsSONGzdmx44dbN68maVLl7J69eo79rdy\n5UoOHDjAnj17GDBgAB9++KH2FESUDAnq/wX+yafQivvnekoWvm63Zsp9XIxcT8kusm67On6s2n/F\nomzJrkss2VUwSxTeLsRi1r8oZhXG/HRM2149sCnnY2/Nqnz8ai3OxaYzb9t5ABxsDVQq7ciyD5qg\nKODhZMv8vvXpNXO3vCwrHltupTxJjL+ubSclxOFaqvDj/0vno/jm8/EMnjAdB0enu7Y9ezqSYQ2b\nAVCvyVN8/dm4gjbuRbT5X2rOzeOY8/MpFxh8a4wengQFV0Wn0+Hp7UNpvwCuX42mfMXK9+EKiL8r\nMDCQjRs3WpRlZGQQExNDQEDAPfX9VzcGN3Pqt23bxrRp02jRokWR44qMjKRu3bpaWWRkJIGBgXft\n/5/o3r07HTp0oFOnThblHh4edOzYkY4dO9K2bVuLvPqiKIpCnTp1qFOnDhUrVmTVqlUS1JcwSb8R\n4h4dvphMWQ97fN2MWOkV2tXxY+ORmEL1HG0N1AsqxcYj1yzK3RysAfB1NdKmhg8r90UXPshtkzu2\nVjqMVnoAmlT2xJRv1l7KHdQuBAejgdG3Bf0Z2XlUG/gL9YdvpN6wjRy6kETPmbskoBePtQoVQ7h+\nLZr42BjyTCZ2/fYrofWbWtRJiLvOZ2MH0S98LN4+fndp2wwAbx9/Thw9CMCxiH14+5YBoHb9Juz+\n7VfyTCbiYq5y/Vo0gcG3Ujl2bdtIg7CnLY5fp0EzIo8UPCFLS03h+tXLeJb2ve/XQhRP/fr1yc7O\n1mag8/PzmTx5Mh07dsTGxuae+r5b0B0WFoaPjw9r1qwptO+1117jk08+ISWl4HfyyZMnWbVqFV27\ndr2nY/5VfWdnZ9q0acOyZcu0fTt27CAvLw8oyJdPSUmxyLH/swsXLlikLJ08eRJfX/neLmkyUy/E\nPTKrMGzxERa/2whFUVi88yJnr6fzauNyqKgs2nERgNY1fPj9RBzZJssXnua8WQ8XOyvy8lWG/HiY\njOyCX6ytq5dmXJfquDrY8O3bDYiMTuHV6btwd7Thx3cbkW9WuZ6SxTv/S6vxdrHlndaViLqezq/D\nmqMC87edY/Euy1xRVVVRJP9GPOZ0ej29+g1iwpB+qGaVsNbt8C1Tjs1rl4Oi8NSzHVmxaA4Z6WnM\nnT4JVBW9wcD46d/+RduyAPzfe0OZN30y+XkmrKxt6PPeUAD8AspTr0lLPujzAnq9gd5vD7ZIpdiz\nYzPh476wGGP10PocPbiHD/u8iE6v59XX39OeFoiSMXPmTEaNGsWXX36Jqqo0adKEAQMGWNT5Jyky\nAwcOxNbWFlVVcXNzY968eYXq9O3bl/DwcNq2bWtR3rx5c+Li4ujSpQs6nQ57e3s+/vhjbeWbvxrP\nX5UfPHiQDh06aEtQ3lwC8/b6vXv35ocfftDKdu7cyfjx47WUnPDwcNzd3Tl37lyR/fn6+vLRRx+R\nkZGBXq8nICCAsWPHFjke8fAo6n14pjN69GjJ3X7E+byxoqSHIMR/yrqhLe9eSQhxX9UMcCzpIQhR\nYiT9RgghhBBCiMecBPVCCCGEEEI85iSoF0IIIYQQ4jEnQb0QQgghhBCPOQnqhRBCCCGEeMzJkpb/\nEe91qV7SQxDiP2X81jt/cIsQ4v5b1qtWSQ9BiBIjM/VCCCGEEEI85iSoF0IIIYQQ4jEnQb0QQggh\nhBCPOQnqhRBCCCGEeMxJUC+EEEIIIcRjTla/EeI+uBJ5gD1Lv0ZVzVRs+DTVn36hyHrxF8+wZsoH\nNO8zmLI1G3IjOYHfF3xCVloKiqJQqVFrqjRvB0DSlQvs/GEGeTnZOLh70az3QKxsjQAc2bCEMzs3\noej11HvxDfxCapGXm8PWbyaQFn8dnU5HmWp1CW3f0+L4Fw79wdZvJtJuyBeUKhP4QK+JEA9a+vnD\nxGz+DlU141Y9DI96z1vsz7h8gkvLp2Lt4gmAc8U6eDbsSE5SDJdXfQGKAqpKbmocXo1fpFRoa/Kz\nM7i8ahq5aQlYO3tQpt276G3tUPPzuLphDlnXz4Oio/RT3XEoE0J+bjbnvx+t9WVKT8Llicb4tOgG\nQMrJ3cTtXA6KDqNnGfzbvv2Qr5K4Xc2aNYmIiChyX7t27QgMDGTq1Kla2ZAhQ9i3bx9OTk4oisLQ\noUMJDQ0FIC8vj88//5xNmzZhb2+PtbU1/fr1o3HjxjRv3hwHBwd0Oh2KohAaGsqwYcMYPHgwu3bt\nYsuWLVhZWZGcnEynTp3YsGED7dq1Y9q0aQQFBQEwZ84coqOjGTNmDAB9+vQhNzeX1NRUMjMzSUpK\nws/PD0VRGDlyJJ9++imDBw+mSpUqAFy9epU333yTNWvWsG/fPvr27Yu/vz+qqqIoCoMGDaJ+/fpU\nrlyZ4OBgrbxLly78+OOPAFy6dAkvLy+MRiOVKlVi0qRJD+z/jbh3EtQLcY9Us5ldi2fR5r0J2Lu4\ns3riewRUr4eLt3+hevtXzsevyq0l1xSdjrqd++DuXwFTdharJ76Db0gtXLz92fHdF9R9oQ/egVU4\ns2sTR39dRu3nu5F87TLnD+6g0+ivuJGcwPovhvLC2DkAVG3ZmdIVq2LOz+eXzwZzJfIgflVqA2DK\nzuLEtp/xLBf88C6OEA+Iqpq59usCyr08DCsHV84uHI5jUG1s3X0t6tn7B1O280CLMhu30gT1nqT1\nc2pmP5wr1gEgbvfPOJR9Ao96zxO/52fi96zGu9nLJB3ZCopC0GtTyMtM4+LSSQT2nIDe2lbrC+Ds\ngqE4V3oSgJzk68TvWUOFbmPR29iRl5n2IC+JKAZFUYosP3fuHDY2Nhw+fJjs7GxsbW21feHh4bRq\n1Yq9e/cyZswY1qxZA8Dnn39OYmIi69atw2AwkJSUxL59+7TjfPfddzg7Oxc6vsFgYPny5XTp0kUr\ns7a2ZujQoYwePZpFixYRGxvL0qVLWbFiBQA5OTmkpqaydOlSAPbt28e8efOYPXt2sc89NDS0yPpG\no5GVK1dalL300ksAdO/encGDBxMSElLs44iSI+k3Qtyj+ItncPb0wdHdC53eQPnQJlw6sqdQvcht\nP1OuViNsHV20MjtnN9z9KwBgZWvE2dufzJREANLiruIdWDDj4lu5JhcjdgJw+egeyoc2RafX41jK\nC2dPH+IvnsZgbUPpilUB0On1lCoTyI2UBO1YB3/+jmpPv4DeYPVgLoQQD1HWtXNYu3lj7eyBojfg\nXLk+6VEHC1dU79xPxsXjWLt4YeXkDkB61EFcqjYBwOWJJqRFHQAgO+Eq9gEFP48GOyd0NvZkxpyz\n6CsnKYa8zHTs/SoBkHR4K+61WqK3sdPaiUfTunXreO6552jUqBFbtmwpsk7NmjWJjo4GIDs7m59+\n+okRI0ZgMBTMj7q5udG6dWsAVFXFbDYX2U/37t1ZsGBBof2NGzfG09OTVatWMXHiRPr374+DgwMA\ne/fu5cknn/xb56Sqd/nmL0Y9VVWL3Y8oeTJTL8Q9upGSgL2rh7Zt71qK+Itn/lQnkctH9vDM+5OI\nX3i6yH7SE2JJij6PR9mCgMDVJ4BLR/YQUL0e5w9u50ZyQYCemZKIZ/lbs+12Lu7ajcBNOZkZXD66\nlyrN2wOQcPkcN1IS8H+iDsd+XX7vJy1ECTOlJ2Hl6K5tWzm6kfWnIBsg89oZouYNxsrRFe+wrtiW\n8rPYn3pyNy4hDbTtvMxUrOwLbrytHFzIu5EKgNGzTEHAX7kBprQEsq5fwJSWBKUraG1TTu7GuXI9\nbTs3KQaAc9+PBtWMZ8NOOJaXDwJ8FP3yyy98++23nDt3joULF/Lss88WqrN9+3YCAwvSFi9duoSv\nry92dnZ/2WePHj209Jv27dvTo0cPAHx8fKhduzarV6+mWbNmFm2GDBnCCy+8QNmyZWnbtq3FsVu2\nbHnX8/jwww+1pwy5ubnodLfmbg8cOECHDh20NJtp06bh7+9PTk6OVu7v78/06dPvehzxaJKg/l9g\n0qRJZGdnF7lv9OjRD3cwokh7l35FnQ69tO0/z3yYsrPY+vV46r34hpY337j7e+xeMpvDv/xImWp1\n0RuK9+NqNufz29wpVGnRHsdSXqiqyr5l39Ck5/u3KsnMi/gPMHqXJ7jvDHRWNqSfO8yl5VOp9MZn\n2n41P4+0qIN4N3v5Dr0UpGu4VgsjO/EaZxcOw9qpFPZ+FVF0lqkcqSd34f9cv1v9m83kJsdSvutI\nTKmJnP9hDEGvTdFm7sWj4fjx47i5ueHp6Ym7uztDhgwhLS0NJ6eCJytTpkxh6tSpxMTE8MMPPxS7\n36LSb256/fXX6devH02bNrX4e+Dp6Um9evUICwuzqH/o0CEGDx5812NOnTpVS5W5mVN/01+l39ja\n2hZKvxGPJwnq/wWys7MleC9B9i6lyEiK17ZvJCdg5+JuUSfh8lm2zZ2MqqrkZKRxJfIgOr2BgOr1\nMOfns+XrCVSo25yAGvW1Ns5efrR+ZxwAqbFXiT6+HyiYmc9ITrjteIkWx9v5/XScvfyoElbw0qAp\nO4vkmEv88ulgVFUlKy2ZTbPG0rLvKHlZVjy2rBzdMKXd+jkomLl3s6ijt76VF+1YoQbqr/PIy8rA\nYCxIaUg/fxijdzmLtBiDvTOmGylY2btgykjBYF+wT9HptJdfAc59Nwprt9LadlbcJTCrGL3L3Rqj\nkxt2PoEoig5rFw+sXUuTm3wdo3f5+3QVxP2wbt06zp8/T4sWLVBVlYyMDDZu3MgLLxQseDBo0CBa\ntWrFokWLmDlzJrNmzSIgIIBr165x48YN7O3ti+z3TmkrAQEBBAcHs379+kJ5/jqdzmKGPTo6Gh8f\nHy3N504kVea/TXLqhbhHpcoGkRZ/jfTEWPLzTJw/sJ2AanUt6rw4bh4vjpvHS+PnU7ZWQxq83JeA\n6gWP6Xd8+xkupf15okV7izZZ6QWP/VWzmcPrFxPc+BkAylSrx/kDv5OfZyI94Tpp8de0lJ0DqxeS\nm51JvRdf1/qxNtrR9eMfteN7lgumZd/REtCLx5qxdAVyk2PJTY3HnJ9H6sndOAbWtqhjupGifZ15\n7SyoqhbQA6Sc2GWRegPgGFiblGPbC/Yf345TUMFKJ2ZTLmZTDgDpF46i6PQWL+WmntiFc0h9i76c\ngkLJuHQCgLzMNHKTr2sr8YiS8eeg12w2s379etauXcuWLVvYunUrM2fOZO3atYXadu3aldjYWA4f\nPoytrS2dO3dm/PjxmEwmAJKSkti4cWOxx/Lmm28yd+7cu9bbvn07jRs3Lna/f5fcCPx7yEy9EPdI\np9PToMtbbJw2HNWsUrFhK1xKl+HU9l9AUQhu3MaywW2zMrFnIzm37zdcfcuycvzbKCiEtu+BX5VQ\nzu//jZO/rwUUytZsQMUGBfmUrj5lKF+7McvHvIlOb6DBy/1QFIUbyQkc2bAUF29/ra+QZm2p2LDV\nn44Pd317UIhHnKLT4dOqJxeWTARVxbVaM2xL+ZIYsRlFUXCr0YK0U/tIjNiEotOjs7KmTPt3tfZm\nUw4ZF4/j27qPRb8e9Z7n8qovSDr6G9ZOpbQ2eZmpXFwyCXQKVg5u+LXtZ9Eu9dReyr4YblHmWL46\nGReOcmbOhyiKntLNu6K3dUCUnJycHJo1a6bllXfu3Blvb29KlSql1alTpw7nzp0jISGhUPs333yT\nGTNmMGfOHN59910+//xznn32WWxsbLCzs+Odd94BCla06d69O3q9HqDI5SADAwOpUqUKJ0+evOOY\nd+zYwciRI+96bn+1ss9NBw8etMipf+utt2jVqtUd292tT/FoUdT7cIs2evRoSf8oQcW5/lO2FX6B\nTAjx4Oy7mFrSQxDiP2dZr1p3r/QYyc3N5ZVXXmHZsmUlPRTxGJD0GyGEEEKIR5C1tbUE9KLYJKgX\nQgghhBDiMSdBvRBCCCGEEI85CeqFEEIIIYR4zElQL4QQQgghxGNOlrQsAXf6BNh/4tSpU3etk55j\nvm/HE0LcnZ2N/HoVQgjx8MhfnRJwvz8BVpYTFUIIIYR4/I0ZM4YOHTpQrVq1v91WgnohhBBCCCEe\nAdWrV2fq1KkkJSXRrl072rVrh4eHR7HaSk69EEIIIYQQj4D27duzcOFCvv76a1RVpUuXLrzxxhts\n3rz5rm0lqBdCCCGEEOIRER0dzYoVK1i5ciUBAQG0bNmS9evXM2jQoDu2k/QbIYQQQgghHgFdunQh\nMTGR9u3bM2fOHHx8fICCGfwmTZrcsa0E9ULcBzEnD3J4xTeoqply9VpR+anORdZLunSGLZ8PpH7P\ncPyqNwBg7ZjeWNnaoSg6dHo9T33wGQC7F0wmPf4aAKbMDKzsHGg18AsAUq5e4ODSmZiyM1F0Op76\n4DNUs5nd8yeRkRiDTqendJU6VGvbE4DDK78hLuoYKAr5udnkZKTSfuLiB3xVhHiwUs5GcGnDAlBV\nPGo2x6dRe4v9aRcjObN4CjauXgC4Va6Lb5NO2n5VNXP868FYO7lR6eXBAFze9B3JZw6i0xuwcfOm\nfLu+GGzsyLh6lgtrv7rZEJ9GHXB/oiH5uVmcmD8SUACV3LRESlVrQsDTPYk9sInY/RtQdDp0BmvK\nPfc6dl4BD+HKiL9Ss2ZNIiIiLMpmzJiBvb09vXr1AuDLL79k9erVKIqCl5cXI0cAE/sAACAASURB\nVEaMIDAwsMj2K1eu5Pjx44wYMQKAJUuWsGDBAhRFwcHBgfDwcGrXrg1At27diI+Px8bGBqPRyPjx\n46lQoUKhMXbr1o3BgwdTpUqVQvvGjx/Pxo0b2b59u1ZWr149Nm3ahKOjI/Hx8TRu3JgffviBWrVq\nAVC/fn02bNhAUlISI0eOJD09HZPJRO3atRk7duy9XE7xAPTp04cWLVoUKjcYDOzateuObSWoF+Ie\nqWYzEctm07TfeIzObmyeOgDfqnVx8vIvVO/omgV4B9eyKFcUhbD+k7C2c7Aor98zXPv68Kq5WBvt\nATCb89n7/VTqdfsQZ5+y5GZmoNMbyDfnUqlFRzwDq2LOz+e3mUO5fvIg3pVrU6NDH62vqO1rSLl6\n4X5fBiEeKlU1c/GXuVTuPgorR1civxmMa3AdjKV8Leo5BlTWAvY/u77nF4wefuTnZGplzhWq4/9U\nVxRFx+XN33Ntx0rKPNUVO68yPPH6ZBRFR25GMse+/AC3kHrorY1UfeNjrf3xr8Nxq1wPgFLVGuEV\n2hKA5NMHuLRxIZW7j7zfl0L8DYqi3HH/999/z5EjR1izZg3W1tbs3LmTt956i3Xr1mFtbV1k+5tl\n27ZtY+nSpSxevBhnZ2dOnDhBv379WLZsGe7u7gB8+umnhISEsGLFCj7++GNmz55d7LGrqsq2bdsI\nDAxk3759PPnkkwDUqFGDiIgImjRpQkREBCEhIURERFCrVi0uXLiAq6srzs7OvP/++/Tu3ZuwsDAA\noqKiin1s8fB8+umnRQb1xSE59ULco6TLZ3Dw8MHezROd3oB/zSZcPba3UL2o7Wvwq9EIG0dnyx1q\nQYByJ1ci/qBM7aYAxJ6KwMW3HM4+ZQGwtnNAURQM1jZ4BlYFQKfX4+pXgcyUxEJ9XT60nTK17vwI\nT4hHXcbVs9i6l8bGxQOd3oD7Ew1JPrW/2O1z0hJJOXsIz1qWfzydy1dDUQr+NDr4VSQ3veBnSGew\n1srNplz0tnYoOr1F26zEa5gy03AsEwyA3tqo7cvPzcZg5/j3T1Q8VHPmzGHkyJFYW1sD0LBhQ2rV\nqsXatWuBgsD6Tm3Dw8Nxdi74HR8SEkKHDh1YtGiRVudm+xo1ahAdHf23xrZ3716Cg4Pp3LmzNh6w\nfHoQERFBz549OXz4sLZ9c8Y+ISEBLy8vrV1QUNDfOr54OPz9/RkyZAiLFy9m1apV2r/ikKBeiHuU\nlZKInUspbdvOpRRZqZbBdFZqIleP7SGw0TPw578JCvz+5Qg2fTKAc7s2FOo//txxbJ1ccChVGoD0\nuKsAbJ81kk2fvMepLcsLtcnNzODa8X14VaxuUX4jKY7MpFg8/1QuxOPGlJaEtZO7tm3t5E5uelKh\nehnRZzg2+0NO/zCBzPhbQdTljQso07LbHY8RH7EVl8Cat/q6GsXRL9/n2KwPKNOqR6H6Scd34V6l\ngUVZ7P6NHJ72Npd//Rb/Fq8U+/zEw5eRkUFWVha+vpZPe6pUqVKsWe2zZ88SEhJSqO3Zs2cL1d2+\nfbuW0lNc69at45lnnqFZs2Zs376d/Px8AGrVqqUF9UePHqVly5bExMQABUF9zZoF38M9evSge/fu\nvP766yxYsID09PS/dXzxcLi6ugJw5MgR9u7dq/0rDkm/+RewtbX9yw+gkg+mejRErPiGas/3vFVw\n22xP83c/xujsRnZGKtu/HI6Tlz8eFW7lUl4+uB3/Wk1vNTXnk3D+JC0//BydwYrfZw7DrUwQnkEF\nH1RhNuez59uPqdisHfbut2ZlAKIjtuNXveFdH0EL8W9g71OeGgNmobeyISUqgqjFH1O9/zSSzxzE\nyt4Ze+9ypF2MLLLt1e3LUfQGSlVtrJU5+AZRre+nZCVc5dT343EqVwWDjZ22PzFyJxU6vGPRj1ed\np/Gq8zSJx3dy/udZhPQY/UDOVTxYeXl596WfDz/8kNzcXNLT0/n555+L3c5kMvH7778zdOhQjEYj\n1apV448//qBp06ZUrVqVkydPkpWVRX5+PkajEX9/fy5fvkxERAS9e/cGoGPHjjRu3JgdO3awefNm\nli5dyurVq7Gysrov5ybuj4kTJ2Iymbhw4QL5+fkEBQVhMBQvXJeg/l9g8OCi80XFw2F0cSczOV7b\nzkxJwOjsblEnOTqKPQungAo5N9K4fvIAit6Ab9W6GJ3dALB1cMa3an2SLp/RgnqzOZ+rR3fR8n8v\nyBYcrxQeFZ7QcvBLh4SSHH1WC+oPLp6Bo6cfQU3aFhrr5UM7qP3CW/f3AghRAqyc3MhNTdC2c9MS\nsXZ0s6hze/qLS1BNLv4yh7ysdDKiT5N8+gApURGY83LJz8ni3MrpVOjQH4D4w9tIORtB5e6jijy2\nsZQvtm5e5CTGYPApeNExM/YSqtmMfelyRbZxq9KAC2u/vqdzFg+Wg4MDdnZ2XLlyBT8/P608MjKS\n0NBQAIxGI3l5eVqQlZqaqs2sBgYGEhkZSd26dS3a3j4jP3XqVEJCQpgyZQpz5sxh+PDhxRrbH3/8\nQXp6Os899xyqqpKTk4ONjQ1NmzbF1taWgIAAli9frj0pqF69Or///jtJSUmUK3fre9LDw4OOHTvS\nsWNH2rZtS1RUVKGnC6JkHT9+nHfeeQcXFxfMZjMJCQnMnDmT6tXv/oRd0m+EuEeuZYLISIjhRlIc\n+XkmoiO24/tEXYs6z46cW/Bv1Fz8qjek1gt98a1al7zcbEw5WQDk5WRz/XQEzqVvrY4Re/owjl7+\nFjcJ3sG1SI25SL4pF3N+PvFnj+PkXQaAY+u+w5STSc2OffiztNhoTFkZuJcNfgBXQYiHy8GnAtlJ\n18lJicecbyLx+E5cK4Va1DFlpGhfZ1yNQlVVDEZH/Fu8Qs0Bs6nx7kwCO72HU7kntIA+5WwEMbt+\npmKXcHSGWzOYOSlxqOb8/30dT3bSdWzcS2v7E479gfsTjSyOn50Uo32dcuYgdl5l7t8FEP/InXLi\nAXr37s24cePIyckBYNeuXRw6dIg2bdoAUKdOHVavXg1AdnY269ev14L41157jU8++YSUlILvu5Mn\nT7Jq1Sq6du1a6PjvvvsuW7du1dJk7jbOtWvXMn78eLZs2cLWrVvZvHkzO3fu1MZZo0YNFi5cSI0a\nNbTtb7/91iIQ3LFjh/bEIT4+npSUFIsce/FoGDduHJ999hkrVqxg1apVzJgxg48++qhYbWWmXoh7\npNPpqdn5TbbPGoFqLljS0snbn3M714OiUKFBa8sGt2W+ZKensGvueEBBNedTpnYzi9Vxog/t0F6Q\nvcnazoGKzdqz6ZP3UBQdpauEUjoklMyUBE5uWoqTlz+/TnkHFIXAxs9Svl4rrS//mvKCrPh3UHR6\nyj7zGqe+/whVVfGs2Ryjhx+xBzahKOBZuyWJJ/YQd+BXFL0encGaoM4D7trvxfXzUPPzOPVdwR9R\nB78gyj3bh/TLp7j2xyoUvQFFr6fcc29YpN4kndhNpa5DLfqK3beB1PPHUPQGDHaOlG/X9/5eBPG3\n5eTk0KxZM1RVRVEUevbsabG/W7dupKWl8fzzz2MymTCZTCxYsAAHh4Ino0OHDmXUqFF89913QMHa\n4Tdn8Zs3b05cXBxdunRBp9Nhb2/Pxx9/rK18c3vao42NDd27d2f27NmMGTOm0DjffPNN7WlA9erV\n2bNnj8Xyk0ajkdDQULZu3UqbNm2oVasW3333nZY/HxISQmxsLC+++KLWZufOnYwfPx5bW1sAwsPD\ntbGJR0dmZqbFzViNGjW0m7e7UdS73bYWw+jRoyV3+28oies1YoMsXSXEw3QpKaukhyDEf863r1S7\nb31lZWXx9ttv07hx40LBvxAPSrdu3ejRowdPPfUUAJs3b2bhwoXajeSdyEy9EEIIIcSfGI1G5s6d\nW9LDEP8xY8eOZdCgQQwbNgxVVSlTpgxTpkwpVlsJ6oUQQgghhHgElCtXjp9++onMzEzMZrOW+lUc\nEtQLIYQQQgjxCOjWrZvF+xeKomBra0v58uV58803tQ83K4oE9UIIIYQQQjwCAgMDMRgMdOrUCShY\n+ej69et4eXkxbNgwZsyY8ZdtJagXQgghhBDiEXDkyBFWrFihbQcHB9OpUyc++eQTVq1adce2sk69\nEEIIIYQQjwCTyURU1K0VC6OiojCbzWRnZ2Myme7YVmbq/yMqexrvXkkIcd/8Fhlb0kMQQgjxmBk+\nfDh9+vTB3d0ds9lMWloaU6ZMYfr06bRr1+6ObSWoF0IIIYQQ4hFQt25dNm/ezJkzZ9DpdFSoUAEr\nKytq1apl8QJtUST9RgghhBBCiEdAamoqo0ePZtKkSXh6ejJy5EhSU1PvGtCDBPVCCCGEEEI8EkaM\nGEHVqlVJSUnBwcEBT09PBg4cWKy2EtQLIYQQQgjxCLhy5QovvfQSOp0Oa2trBgwYwPXr14vVVnLq\nhbgPzh7ex4bvvkQ1m6kZ1oZGz79ssf/0gV1s+2k+iqJD0elo+crrlHuiJgCf938FWzt7FEWHzqCn\nz7gvAdi06CvOHNqD3soKNy8f2r0xEBs7e1LiY5n5YS9K+fgD4BcYwrOvvQtAxG8b2PPLMhSdDkdX\ndzr2G4LRwUkbx4m92/npi7G8Pv5LSper+DAujRAPTE70MTJ2LQZUbCs1wr7GM4Xq5F47Rcbuxajm\nfHS2jri2HaTtU1UzySs+QmfvikvrdwBI3Tyb/NSCl5zNuZnorO1w6zRKa5OfkUjSTyOwr90Ou2pP\nA5CxfwXZZ3aj5mbi0WumxfGzz+3nxqGfAQWDuz/Ozfvc56sgiislJYWePXuiKArx8fHodDrc3d1R\nVZVTp05RuXJl8vLyKFu2LJMnT8bOzo6rV6/yzDPPUL58eVRVRVEUevbsSbt27Vi2bBkLFy5EURRU\nVWXAgAE0b96cIUOGsG/fPpycnFAUhVGjRlG9enUA8vPzadSoES+88ALvv/++NrZt27Yxbdo0zGYz\n+fn5dO/enRdffJELFy4wcuRI0tPTMZlM1K5dm7Fjx5bUJRQPgV6vJz09XUu3uXjxIjpd8ebgJagX\n4h6pZjO/LJhO92Gf4OjqzjfD+xJcuyGlfMtodcpXrUWl0AYAxF4+z5JPR/HO598BoOh09BjxKUYH\nR4t+K1QL5amX+6DodGz+8Rt2rP6Rp17+PwDcvHx4Y+JXFvXz8/LYtGg2/T/7DqODI5t++Jp9G1fR\ntFN3AHKzs9i3YSV+gZUf2LUQ4mFRVTMZO3/A5dkP0Nm7kLxyHDZla2JwKa3VMedmkr5zES7PvI/e\n3hVzdrpFH1nHNqN39UHNzdLKnJ96U/s6fc8SdNZ2Fm0ydi/B2r+aRZlNQA3sqrQgcclQi/K81Fgy\nj6zHtd1QdNbGQscXD5eLi4u2zveMGTOwt7enV69eANSqVYuVK1cCMHjwYJYsWaLtK1OmjLbvptjY\nWL766itWrVqFvb09WVlZJCUlafvDw8Np1aoVO3fuZMSIEfz8888A7Ny5k5CQEDZu3KgF9Xl5eYwc\nOZLly5fj6emJyWTi6tWrAIwbN47evXsTFhYGYLHUofh36t+/P926dSMmJoa+ffty+PBhJkyYUKy2\nkn4jxD26eu4U7t6+uHh4oTcYeKJ+GKcO7rSoY2Vjq32dm52FneNtH/OsqqiquVC/5avWRvnf3blf\nYGXSk+LvOA6dXo/RwYnc7ExUVSUnKxNHV3dt/9al82nYrgsGK6t/cppCPFLy4i6gd/ZE71gKRWfA\npsKT5FyMsKiTfXYvNuVqo7d3BUBne+vGOT8jiZzoYxiDG//lMXLOHcAmsO6t7YsR6J08MLj6WNSz\n8iyPzq7wR7dnn9qOMSQMnbWx0PHFo6tGjRpcvnz5jnUSExNxcHDAaCz4f2s0GvH19S1Ur06dOkRH\nR2vb69at45VXXsHf35/Dhw8DcOPGDcxmM87OBd9DVlZWlC1bFoCEhAS8vLy09kFBQfd0buLR16RJ\nE+bNm8fkyZPp1KkTP//8Mw0aNChWW5mpF+IepSUl4OTuqW07uZXi6rnTheqd2v8HWxbPJSM1iVcH\nT761Q1H4bsIgdDo9tZo/S+0WzxZqG/HbBp5oEKZtp8Rf56shb2BrZ0/YC70oE1wVRVFo3b0fXw76\nP2xsjbh5+/Fs74K0nJgLUaQnxRNUoy671iy5j2cvRMnIv5GMzt5N29bbu2KKu2BZJyUWzPkkr5mC\nmpeDsUoLjBUL/jhm7F6MQ90XLGbpb5cbcwadnTMGp4KfbdWUQ+aRDbg8+z6ZRzYUa4x5/0vjSV49\nERUV+1rPY+P/xN8+V/HgqaoKFKTH7Nq1i7p1b93MXb58mQ4dOmjpN8OHD6dmzZq4ubnRokUL6tWr\nR6tWrbTZ9Ntt2bKFihULUh1zc3PZu3cvH330ESkpKaxdu5YaNWrg7OxMWFgYYWFh1K9fn2bNmvHc\nc8+hKAo9evSge/fu1KpViwYNGtCpUyccHeXm8N/spZdeYsmSJTRr1gwAs9lMu3btWLNmzV3b/muC\n+kmTJpGdnV3SwyiWU6dO3df+7nTuo0ePvq/HEv9ccJ1GBNdpxOVTx1j55UTe/nQhAL1Hf4Gjqzs3\n0lL4bsIgPHzLUCa4qtZu+8pF6A0GqjZsAYCjqzvvTf8Ro4MjMRfOsHjqKPp9Mg9VVVm/YDpvTf4G\nFw9vfpk/nT9W/0Cjdq/w6/ezaP9WuNbn//5+CfHvpuZjSryE67MDUfNySF49ASuvCuSnXkdndMaq\nVBlyrxX9+zjn3F5sKzypbd84uBpj1ZYoBpviH99sJj81DpfnwzFnJJH882SsXhirzdyLR0dOTg4d\nOnTg+vXr+Pn58fLLt96LKir9BmDu3LkcO3aM3bt3M2nSJCIjI3n77bcBmDx5MrNmzcLNzY3x48cD\nBXnzTz75JNbW1rRo0YLp06czbNgwFEVh3LhxREVFsWvXLubPn8+uXbuYOHEiHTt2pHHjxuzYsYPN\nmzezdOlSVq9ejZU8cf3X6d69O/v27QMgODhYy6nX6/U0b968WH38a4L67OzsxyaAvd/jfJzO/d/I\nya0UqQlx2nZaUgKObu5/Wb9McFXM+flkpqdi5+ispcjYO7kQHNqIq+dOaUH94d83cPbwXroP/0Rr\nrzcYtPz70uUq4uZVmsSYaMz5Zlw9S+Pi4Q1AlfpN2fnzYnKzMomLvsiCjz4AVSUjJYnFU0fw8ocf\nycuy4rGlt3fFnHErh7lg5t7Foo7O3hUbWwcUgxWKwQor74rkJUaTl3CJnEuHyYk+CnkmVFM2advm\n4BRW8M6KajaTc+EQrh1Han2Z4s6TfeEgGXt/Qs3JBEUHeivsqvz1H1u9vSsGr/Ioig69Yyn0Ll7k\np8ai8yh7fy+GuGe2trasXLmSnJwcXnvtNbZs2ULLli3v2q5q1apUrVqVBg0aMHToUC2ov5lTf7t1\n69Zx6NAhWrRogaqqpKamsmfPHurXrw8UpNYEBQXx/PPP06JFCyZOnAiAh4cHHTt2pGPHjrRt25ao\nqChCQkLu8xUQJe3bb78FCt6jGD58+D/q418T1AtRUnwqVCIp9iop8bE4urpxfPc2OvUfZlEnKfYa\nbl4FebgxF84AYOfojCknG1VVsbY1kpudxfljB7QXW88e3seuNUvpOeozDFbWWl+ZaakYHRxRdDqS\nY6+RdP0arp4+mPPzSbgWrd0snD92kFK+AdjY2TPw6xVa+4UfvU+rV9+idDnJzRSPL4NHOfLT4shP\nT0Bn50LOuX04NX/doo5N2Zqk7/wBO7MZzCZMceexq9YK2/KhODzZCYDca6fJPLpRC+gBcq9Goncp\nreXiA7g+P1j7+sbB1ShWtkUE9JaPwKzL1iTn3F6MFRtizk4nPzUWvZPHfboC4n66mX5jY2PDsGHD\n+OCDD+4Y1MfFxZGQkKAF1ydPnsTHx+cv62dkZHDgwAG2b9+OwVAQeq1cuZI1a9ZQo0YNjh07xpNP\nPqn1dTM/f8eOHdSvXx+DwUB8fDwpKSkWOfbi32fgwIFs2rSJGzduAAUpYVeuXOHdd9+9a1sJ6oW4\nRzqdnmd69uf7iYNQVZWazdrg4RvAgc1rUBSF2i2e4+Te7RzZsQm9wYC1jS2d3xkBQEZqMks+HYWC\ngtmcT9WGLahQLRSA9QtnkJ9n4rsJBUvw3Vy68tKpo2z7aQF6gwFF0fHc/w3A1t4BgOZdXmPhRx+g\n6HS4lPKi3ZuDihixwp+DDyEeN4pOh0PDV0j55VNQVWyDG2Nw9SHrxG+gKBgrN8XgUhobvyokLR8F\niq6gzPWvA6+bcs7tx/a2F2TvJmPvT2Sf3YuaZyJh0UCMwY2xr12QP597JZLEn0agKDoc6r2Izsb+\nHs5aPCi3f1pn5cqVCQgI4JdffqF69epER0db5NR36tSJ5s2bM3nyZOLj47GxscHNze2OT8w3b96s\nBec3NW/enI8//pihQ4cyZ84cRo0aha2tLUajkcmTC9672rlzJ+PHj8fWtmCxhfDwcNzd//pJsHj8\n9e/fn6ysLC5fvkxoaCj79++nRYsWxWqrqOq9Z9eOHj26xNM/HoUxFNf9Hmtx+vvh0JX7djwhxN3N\n2naxpIcgxH/Ojg8alfQQhLgnLVu25Ndff2X8+PF06tQJNzc3Ro0axezZs+/aVpa0FEIIIYQQ4hHg\n7u6OoiiUK1eO06dP4+XlRUJCQrHaSvqNEEIIIYQQj4CgoCA++ugjXn75ZT788EPi4uLIyckpVlsJ\n6oUQQgghhChhqampDBgwgPPnzxMYGEj//v35448/mDp1arHaS/qNEEIIIYQQJejEiRM8++yzHD9+\nnNDQggUzjhw5wubNmzGbC3/qfFEkqBdCCCGEEKIETZ48malTp9KkSROt7P3332fChAlMmjSpWH1I\n+s0jrLifknu/P6FWCCGEEEI8PGlpadStW3gp3caNG/PJJ58U0aIwCeofYcX9pNji1MnOL96jGyHE\n/WFtrS/pIQghhHhM5OXlYTab0eksk2jMZjMmk6lYfUj6jRBCCCGEECWoTp06zJgxo1D5l19+yRNP\nPFGsPmSmXgghhBBCiBL0/vvv8/rrr7NmzRqqVq2KqqqcOHECNzc3Zs2aVaw+JKgXQgghhBCiBDk4\nOLBo0SL27NnDyZMn0el0dO3aVVsJpzgkqBdCCCGEEKKEKYpC/fr1qV+//j9qL0G9EPfB+SP72fL9\nLFTVTLWmranXtovF/qiDu9ixfCGKoqDT6WjWpQ8BVWqSFHOF1f/P3n0GRlF1ARh+Z3fTO+mQ0EJJ\n6EgTkA6RphJQQBAEAQmICp9IkQ6iBAQbTVEUkC4EqQLSq6E3CYSaQnojdVN2vh+RxTU0pYTIef6w\ne+e2mWTDmTtnZmd/jIKCikpKXDRNXu1D3RcDuHE5lN8WzSY/Pw+tVkebPu/iWb4yAHHhV9j6w5fk\nZGWiaDS8OXk2Wp0Zp/f8ypEta9BoNNg6OdNx0CisbO05s3cbu1cswM7JBYDn/F+hRrO2T/w4CfEo\nZV8/Tcq+ZaCqWFdpin2dDoXrRJ4ndf9yVEM+Wis7XANGkZeeRPL2BeRnpQIabKo2w65mGwAyLx3h\nZsg68pJv4PbaBMzdygKQE3uF5F0/FnSqqtjV7Yh1xYInVaQeXkNm6AEM+kxKDZxvHDvj/H5SD65E\na1sCANvqrbCpcvtxdeLJ6t27NwMHDqRx48bGskWLFnHt2jX69+9P+/btKV++PKqqoigKffr04ZVX\nXqFly5asXbsWR0dHAEJCQli4cCHz588nODiYs2fPMm7cOADWrVvH999/j6Io6HQ6XnrpJfr27cvo\n0aNp0aIF/v7+xrGjoqLuOuYtQ4YMISoqioyMDJKSkvDy8kJRFMaPH8+sWbMYNWoUVatWNfYXGBjI\nhg0bCAkJYfDgwXh7exv7HjFiBA0bNsTPzw9fX19jeffu3Vm+fDkA169fx93dHSsrKypXrvzAj1IU\nTwcJ6oV4SKrBwPZFs+n+0XRsHZ1ZPP4dKtZphHPJ0sY6Zas9R8U6jQCIj7jK2s8nMnDWIkp4etF3\n6nxjP3Pfe51KdV8AYM+K72jyWh/KVa/L5VMh7F6+gNfHfIbBkM/G+UG8NGgUrt7lyM5IQ6PVkZ+X\nx67l3zJw5iIsbezYvWIBx7f/QuOAXgD4Pd+c1r3fecJHR4jHQ1UNJO/9CddXRqC1cSRu9SSsytfG\nzKmksY5Bn0nK3iW4vvwhWlsn8rPSAFAUDQ4vdMfctQyGnGziVk3EsnRVzJxKYubshXP7d0nZtchk\nPDNnL9y6TURRNORnpBC7fCxWPvVQNBqsytXGtkZrYpaMLDRP64oNcGz6xuM9GOKBvPTSS2zcuNEk\nqN+8eTMjRowAoHTp0gQHBxdqpyjKPfu9tX3Pnj0sXryYH374ARcXF3Jzc1m3bt09295tzFtu3Tj5\n1xOJB1W3bt071reysio0Zrdu3YCCE59Ro0ZRpUqVBx5HPD3k6TdCPKQbV0Jx8iiFg4s7Wp0Ov+db\nEHbsoEkdMwtL4+uc7Cys7OwL9XPt3HEc3Upi7+wKgI1jCfSZGQDoM9Kx/XOV/eqZY7iVLo+rdzkA\nLG3sCq4AaLVY2diRk5WFqqroszKxdXQ29q+q6qPdcSGKUE7sFXQO7ujsXVC0OqwqNiDrygmTOpkX\nD2PlUxetrRMAWiu7gn9tHDF3LQOAxtwSnZMn+ekpAJg5eWLm6AGYfl4UnTmKUvBfppqfi2JuhfLn\no+fM3cujtXa44zzlc/f08Pf3Z+/eveTl5QEFK9vx8fHUqVPnnu3+/jO82890wYIFjBo1CheXgr/V\nZmZmvPbaa49g5g/mQX/X7lVPVVX5nS3GZKVeiIeUnpRoDMQB7Eq4EH3lQqF6F48eYM+q78lISabr\nyE8LbT9/eA9+DVsY3zfv1p+fJg9l57JvQIU3JnwBQHJ0JACrgkaTlZ6Kb4PmNOjYFUVRaNVrMN+P\nGoC5lRVO7qXw7/PeX8bfT8SFM5Tw8KJlz0CTOQtR3OSnJ6P7M60FQGtbkDY5WwAAIABJREFUgtzY\nKyZ18lJiUA35xAdPw5Crx7ZGa2x8G5vWuRlPbkI45u7l7ztmTuwVknZ8T/7NeEr4Bz7QPLOuHCPn\nxkV0Th44vPC6yZzFk+Xg4ED16tXZu3cvLVu2ZNOmTbRtezsNMTw8nICAAGNaytixY40Bf+/evdFq\ntaiqSmZmJuXLF/59CQsL+8cr3Pca80EMHz4cS8uCRaOcnByTZ5wfPXrUpO+vvvoKb29v9Hq9sdzb\n25uvv/76H81ZPL0kqP8PsLS0vOsXUD3IF1OJJ6NS3cZUqtuYyAtn2TQviAGf/WDclp+Xx6Xjh2je\nrZ+xbPN3M2nd+x0q1W1MaMheNi+YSfdRQRgM+URdPMebU+agNTNnxacj8ChfCY9ylfht8Rze+vQb\nHFw92L5oNofWL6PRKz2pWKchVRq1RKvTcXLnJjZ/M53uH80oisMgxBOjGvLJjb+Oa6cRGHJziP95\nChYeFdA5ugNgyMkmccscHJv0RGNueZ/eClbkPXpMJTc5moT1n2Hh5YfG3Oqu9a3K1ca60vMoWh3p\nZ3eT/NsCXDsVTtERT06HDh3YtGkTLVu2ZPPmzXzyySfGbfdKhVmyZAkODgVXY26lwjwK90u/uZ+Z\nM2caTyRu5dTfcrf0G0tLy4caUzy9JKj/Dxg1alRRT+GZZlvCmZsJccb3aUkJ2Do537W+V+VqGAz5\nZKXdNKbhXDkVgkfZiljbOxrrRV8KpdKoIAB86zfl1+9mAWBXwhWvytWxtClIJfCpWZ/Ya2GYWVji\n4OaJg6tHQZsGzfh940oAY12Ams3bsXvFgkex60IUGa2tE3npicb3+elJaGyc/lanBForOxSdOVqd\nOealKpOTEI7O0R3VkE/ir7Ox9m2EVfnn/tHYZk6e6BzcyEuJNd5IeycaSxvja5uqTUk9uPIfjSMe\nvVatWjFt2jT++OMPsrOzH3hl/UFSUipWrMi5c+do0KDBw07zgUmqjPgryakX4iF5lq9McuwNUhNi\nyc/L5fzhXVR4zvRxVMmxN4yvY66GAZjk1Z8/tMsk9QbAyaMU4edPAXDt7HGc3EsBUK56XRIir5KX\nk4MhP5/w0NM4lyqDo5snSTciyEq7+WebY8abddNTkoz9hh07iHOpMo9q94UoEuZu5clLjSPvZgJq\nfh5ZYb9jVa62SR2r8rXRR4ehGgwYcvXkxFzBrETBjbTJO77HzKkUdjX979R9IXk341ENhj9fJ5CX\nGmdc8b+b/IwU4+vsKycwK1Hqn+yieAysra2pX78+H330ER07dnykfQ8YMIDp06eTkJAAFKTDrF69\n2rj9aQnAn5Z5iEdPVuqFeEgajZY2bw5h1bRRfz7Ssh0upcpwcsdGUBRqtezAxSP7OLv/N7RaHWYW\nlrw8ZIyxfa4+m2vnTvBiv2Em/b741vtsXzSb/LxcdGbmtP1zu6WNLfXavcqi8e+gKAo+tRrgU7M+\nAE279mXZ1A/QaDTYu7jTYeCHABzbGsylE4eNN9N2ePvDJ3R0hHg8FI0Gp6ZvkLD+sz8fadkEsxIl\nST+7C1CwrdYcM6eSWHpXI3bFWBRFg23VZpiVKIU+OozMi4cwc/YidsV4UBQcnu+CZZkaZF05Rsre\npeRnpZGw8XPMXErj+vIH6KPDSDv2BYpWBxotTs37GFNvUg6uIuviYdS8HKJ//B82VZphX/8V0k//\nRtbVEygaLRpLG5xa9S/agyaAghScd999l88//9ykPCIiwiQHvUuXLrzxxhv3ffrNLc2aNSMpKYm+\nffsay7p06WJ8PWHCBD799FNUVcXT05OZM2fedcwHcb95HTt2zKTvQYMG4e/vf892D7qv4umkqI/g\nlG3ixIlFnrv9NMzhQT3oXB/lPi08Ev5I+hFCPJilh6OKegpCPHN2vPvvvrRHiP8CSb8RQgghhBCi\nmJOgXgghhBBCiGJOgnohhBBCCCGKOQnqhRBCCCGEKOYkqBdCCCGEEKKYk0daFoF7fQPsX4WGhj7+\nyQghhBBCiGJPgvoi8KDfAPsoH9HpamnxyPoSQtxfSkp2UU9BCCHEM0TSb4QQQgghhCjmJKgXQggh\nhBCimJOgXgghhBBCiGJOgnohhBBCCCGKOblRVohHIPTE7/zyw9eoqoH6LTvQMqCnyfZzR/bz64rv\nURQNGo2GDr0CqVi9DgCr5k7jj2OHsHNw4oNZPxbqe/f6FWxaMo9JCzdgbWdPZtpNFs0cR+SlUOq1\naE+nfu8b686b8D43kxMxM7dAUeDtcTOxsXckOT6WVXOnkX4zBWs7e3q8Nw6HEi6P9ZgI8bg19CnB\ncP8KKIrCLyejWXQwvFCdOmUc+Z9/BXQahZTMXAYuOQlA38alaVfdA4NB5VJcOhPXh5JnUBnQtCwB\ntT1JzsgFYPauKxy6nISZVmHiy374uNqg0ShsPh3Dj38bb1a36pR0sKT7t0cAqOXtwPAXK1LRzYZR\na8+xKzThMR8RcT9+fn74+vqSl5eHj48PQUFBWFhYmJSXLVuWoKAgrK2tAQgLC+Pjjz8mNjYWVVV5\n5ZVXGDx4MACJiYmMGTOG6Oho8vLy8PLy4oMPPmDEiBEoisKNGzewtbXFzs6OEiVKMGXKFAIDAxk1\nahQzZswA4Pr167i7u2NlZUXlypVp0KABZ8+eZdy4ccZ59+rVi5EjRzJ58mRyc3NJSUkhOzsbd3d3\nFEVh9uzZ9OrVi7Vr1+Lo6EhsbCyTJk3i8uXLqKpK8+bNGTFiBDqdjpCQEHr37s38+fNp3rw5AIGB\ngfTr14969eo92R+IeKQkqBfiIRkMBoK//4KBEz7HwcmFL0e9TbX6L+BWqoyxTsUadala7wUAoq9f\n5scZYxk9ezkA9Vq0p3G7Lqz4emqhvlMS4wg7fRRHV3djmc7cnHbd+xMTcZWY8KuF2rwxdDylylcy\nKduweC51W7SjTlN/Lp09weafvuH198Y8kv0XoigowMi2FQn86SQJaTks7leHPRcSuJaYaaxja6Fl\nZLtKvLP0JPFpOThamQHg4WBBp9ol6TL3d/IMKp92rsKL1dzYdDoWgKWHI1n6e4TJeC9WLfgMdv/2\nCBY6DasD6/Pr2VhibuoBaFHZhQx9nkmbmNRsJvxynl4NvR/XYRD/kJWVFcHBwQAMHz6c5cuX06dP\nH5PyUaNGsXLlSvr27Yter2fw4MFMnjyZhg0botfrGTJkCMuWLaNHjx58+eWXNG7cmF69egFw8eJF\nKlWqxLp16wAYPXo0LVq0wN/fH4CoqCgAGjduTOPGjQHo3bs3o0aNokqVKgAEBwejKEqhuSuKwqpV\nq4x1zp07x9ixY0223zJkyBB69uxJp06dUFWVsWPHMmvWLEaMGAGAh4eHSVAv/hsk/UaIhxRx6Twu\nHl6UcPVAq9NRq3FLzobsN6ljbmFpfK3PzsLGzsH4vpxfDaxs7e7Y9/ofZtOx16BCfZX1rY7WzOyO\nbVRVLVQWG3mNClVrA1ChWm3OHd1fqI4QxUnVUvaEJ2URk6onz6Cy7VwczSqbXn1qW82dnefjiU/L\nASAlq2D1PUOfT16+AStzLVpFwdJMa6wDcId4isT0HCzNNGgUsDTTkJtvIF2fDxS879HAm+/3XTdp\nE3NTz+X4DO7wkRRPgbp16xIeXnC15a9/N2vVqmUs37BhA3Xq1KFhw4YAWFhYMH78eL799lsA4uPj\n8fDwMLatVMl0QeVBqKp6x7/b/6YfgEOHDmFpaUmnTp2AgmB/9OjRrFmzBr2+4CTU19cXW1tbDh06\n9NDjiqeHrNQL8ZBSk+JxdHEzvndwdiMi7HyhemdD9rF56TekpSQxYOxn9+333JH9OLq44VnG5x/N\nZ8WcT9BqdVRv0JTWr74JQKmyFTjz+15eaN+FM4f3oM/OIjM9Deu7nEwI8bRzs7Mg9s9VcoDYND3V\nStqb1CldwhqdVuGbXrWwMteyIiSSzWdiScvO46fDEWx6ryHZuQYOX0ki5GqysV3XuqVoX92d89Fp\nfL79Mun6PA5dSaJddXe2DmuMhU7DrG2XSP9zZX5Q8/IsORxOdl7+k9l58a/dCnzz8vLYu3cvzZo1\nM9men5/PwYMHef755wG4dOkSVatWNanj7e1NVlYWGRkZ9OzZk2HDhvHTTz/RsGFDOnfujJubG0Xh\n1kr9neZsa2tLqVKluH799olnYGAgX375pfGERRR/EtQXU9OmTSM7+/5fbvMov8BKPJxq9ZtQrX4T\nrp4/zfKvpzLyq6V3rZur17Nj7U+8PX6WsUzl/is5PYeOw97JBX12FotmjOXY3m3UaepPx96DCP7u\nC47s3kJ5v5o4lHBBo5ELdeK/TatR8PWwI3DJSazMNfzQtw6nI2+iqio9GnjT8atDpOvzmP5qNdpW\nc+PXs3GsPhrFgr3XABjUvBzD2vgwZeMF2lV3x8JMg/+sAzhYm/H9m7X5/WoytpZavJws+Xx7Ip4O\nlndc5RdPD71eT0BAAAB16tShS5cuJuUxMTF4eXnRvXv3e/Zz6+TghRdeYMeOHezbt489e/bQuXNn\nNmzYgJOT07+e451Sb+5V/qD+fjWgbt26ABw7duyh+hVPDwnqi6ns7GwJ2J8SDiVcSUmINb5PTYzD\n/h43oZbzq4EhP5+MtFSTNJy/SoiNIjk+hlkf9EVFJTUxni9GDOC9ad9g53D3/yzsnQrGtbC0onaT\n1kSEnadOU3/snVx488OPgYL0nzO/78HS2ubf7K4QT4W4ND0e9re/KdvdzoK4NH2hOilZueTkG8jJ\nMnAiPIVK7rZoNXAqIpWb2QUr7TtD46nh5cCvZ+NIycw1tg8+cYMvutUAoKaXA7tDE1CBlMxcTkak\nUqWkHY5WZvh52vHLkOfRaRRK2Jgz/41aBP508vEfBPGPWVpaGnPn71Su1+vp168fO3fupHXr1vj4\n+HD06FGTuhEREdjY2GBjU/A31N7eng4dOtChQwcCAwM5evQobdq0+ddzdHR0JCUlxaQsNTX1gU8U\nKlSowNatW03K0tPTiY6OpkyZMiZ9BwYGMm/ePHQ6CQf/C2SpToiH5O3jS0JMFEnxMeTl5nLywE6q\n1mtsUichJsr4OvLKBQDTgF5VTVbiPUuXZ8J36/ho7krGzF2Fg7Mrw2Z8Xyig/2ubWycKAPl5eZw/\negiP0uUAyEhLNa7S7Az+iXot2j+CPRei6Pxx4ybeJazwcLBAp1Hwr+rGnoumT5fZcyGBWt4OBXnw\nOg3VStlzNSGDa4mZVPeyx1xb8F9g/XJOXE0ouMHW2cbc2L6lryuX4zMAuJaQQb1yBZ8/SzMN1b0c\nuJaQyZrjN2j/5SFemX2YfouOcz0x844BvYIs4T8N7pa7fqvcwsKCMWPGMGtWwVXSl19+mePHjxtz\nz7Ozs5k6dSr9+/cH4PDhw8ar5unp6YSHh+Pp6flQc6xevTonTpwgIaHg9/nMmTPk5ubet99b+9Cw\nYUOys7P55ZdfgIKUoqCgIDp37oyFhYVJm8aNG3Pz5k0uXrz4UHMWTwc5NRPiIWm0WgL6DWXBlA9Q\nDQbqt+qAu1dZDm37BUVReL7Ny5w5vIeje7ai0+kwt7Ci57AJxvZLv5jM5XMnyEi7yceBr+Lf9S3q\ntzQNuhUU/nq33dTBXdFnZZGfl8u5I/t5e9xMHF3cWTBlOAZDPgZDPhWr16VB65cAuHzuBJuXfoui\naChfpSad+w97MgdHiMfEoELQr2HM6VkLDfDLyWiuJWTS+bmSqKpK8IloriVmcvhyEisG1sdgUFl7\n/IYxeN94OoafBtTFYFC5EJNG8PEbALzX2ofK7rYYVJXo1Gymbio4CV9z/AbjX/Jl5cCCR/79ciLa\nGPDfjZ+nHZ+9Vg07Sx1NKjozsFlZun1z5PEdFHFfD5La4ufnR5kyZdi8eTPt27dn7ty5TJ48mUmT\nJhkfadmzZ8Fji8+dO8eUKVPQ6XQYDAa6du1KtWrVHmpOzs7OjBkzhrfffhtVVbG2tjaeZDxoP3Pm\nzGHChAnMnTsXVVVp2rQpw4bd+e9+YGAg77zzzj+as3g6KeojuOV64sSJRZ4K8jTM4VG71z790/3d\ncCb2/pWEEI/MxHV/FPUUhHjmHBvXoqinIESRkfQbIYQQQgghijkJ6oUQQgghhCjmJKgXQgghhBCi\nmJOgXgghhBBCiGJOgnohhBBCCCGKOQnqhRBCCCGEKObkOfVPMUtLy7s+tjI0NPQf9WVrLj9qIZ6k\njIycop6CEEKIZ4hEek+xUaNG3XXbf+2Z/EIIIYQQ4t+T9BshhBBCCCGKOQnqhRBCCCGEKOYkqBdC\nCCGEEKKYk6BeCCGEEEKIYu6R3Ch7r6e0PCn/9GkwQjxK544dZtV3X6CqKo3bdOTFLr1Mtofs2cbW\nNT8BYGllTY9BH1KqrA+xUeF8N30cKAqoKvGxN3i55wBavtQVgF0bV7Nn81o0Wi3V6zYi4M3BnD95\nhODF88jPy0On09G5zztUrlEHgPDLF1j0xcfk5uZQrU5Dug4YajKP4wd3sSBoLKNnLaS0T+UncGSE\neHxeqOTCRx0ro1EUfj4axXd7rppsf6tJWTrW9kRVwUyrUN7VhoZTdmFtriWoW3WcbS1QVZXVIZEs\nORgOwLttKtCqihuqqpKckcvo1WeIvamnY01P3mpWFlUt+LhW9rAj4KuDXIxJp10NDwa2KI9Ggd3n\n45m1Ncw4h7bV3XmndQVUVSU0Oo0RK8880WMkTPn5+eHr60teXh5ly5YlKCgIa2trAMLCwvj444+J\njY1FVVVeeeUVBg8eDEBwcDDTp0/Hw8OD3NxcfHx8mD59OhYWFsyePZtVq1bh7OyMXq+nQYMGTJgw\nAYDRo0cTEhKCvb09qqpiZWXF8uXLTfrLycmhR48e9OzZk4MHD/LVV1+xYsUKAAwGA126dGHChAnU\nqlWraA6aKDYeSVB/r6e0PClFfVIhnl0Gg4EV38xk6Mdf4VjClU8/6EfNBk3w8CprrOPiXpLhn87F\nysaWc8cO89PsaYz8bAHupUoz5stFxn5Gv9WJ2g2bA3DhzHFOh+xn3NdL0Gp1pN9MAcDOwZF3xs3A\nwcmZG+FX+GrCMKb98AsAy+bNoNd7oylbsQpfT/qAc8cPU/W55wHIzspk14bVlKtc9ckdHCEeE0WB\ncS/70fe7I8Td1LN6yPPs+COOq/EZxjoL911j4b5rADT3daV34zKkZedhodMwbeMFQqPTsDbXsubd\nhuwPS+RqfAbf77nK19svAfBGo9IMaVOBcWvOsfFUNBtPRQNQ0d2Wr3vV4mJMOg5WZgxvV4nOXx0i\nNSuXT16tRoPyJfj9ShKlna0Z0Kwc3eceJkOfj6O12RM/TsKUlZUVwcHBQEHssnLlSvr27Yter2fw\n4MFMnjyZhg0botfrGTJkCMuWLaNHjx4AdOjQgbFjxwLwwQcfsHnzZgICAgDo27cvffv2BaBHjx6E\nhIRQv3594zht2rQpNJdb/aWkpNC+fXvatWtHo0aNWLNmDatXr+a1115j8eLFVK9eXQJ68UAk/UaI\nh3Tt4h+4lfTG2c0TrU5H3SatOPX7PpM65X2rYWVjC0C5ylVJSYov1E/oqSO4epTCycUNgL1bgnmx\nSy+02oJzb1t7RwC8ylXEwckZgJKly5Obk0N+Xh6pyYlkZ2VStmIVAJ5v0ZZTh2/PY/3SBbz4ai90\nZuaP+AgI8eTV8HLgemIGN1KyyTOobD4VQ6sqbnet36GmB5v+DMoT0nMIjU4DIDMnn8tx6bjbWxjf\n32JlpiX5Dt830KGmB5tPxQDgXcKKawkZpGblAnDoUiL+1dwBeK2eF0sPR5ChL+gzJTP3YXdbPEK1\natUiPLzgCs2GDRuoU6cODRs2BMDCwoLx48fz7bffGuurqgpAXl4eWVlZ2NvbF9qm1+vR6/Um2wwG\nwz3n4ejoiLe3N5GRkUDBScCCBQu4dOkSy5cvZ/jw4Y9gb8WzQIJ6IR5SSlK8MRAHcHJ2IyWxcNB+\ny/7tG4yr5391dN8O6jZtbXwfFxVO2LmTBA0fwKwxQ7gedr5Qm2MHdlLapxJanY6UxHicnF1vz8PF\nzXjyEH75AikJcVSr0/Bf7aMQTxt3B0tiUrKN72NSs42B+d9Z6DQ0qeTCtrOxhbaVcrLEr6Q9pyNS\njWXv+1dg56imBNQpybe7rhZq066Gp/EE4XpiJuVcbfB0sESrUWhd1Q0PR0sAyrpaU87FhqWB9Vk+\nqD4vVHR+qH0WD+9W8J2fn8/BgwepWLEiAJcuXaJqVdOrmN7e3mRlZZGRUXD159bKfLNmzbh58yYt\nW7Y01v3xxx8JCAigadOmlCtXDl9fX+O26dOnExAQQEBAAB9++GGhOd24cYPIyEhKly4NgKurK717\n96Zbt24MGjTI5ARBiHuRL58qph70PgZJS3q6XDh9jEO/bWJ40DyT8vy8PE6H7CfgzUG3ywz5ZGak\nMfKzBVwL+4MF08fx8YKfjdtvhF9h3eL5vD/5y3uOqaoqPy/8mj5Dx5qUCfGsaOHnyrHrKaRl55mU\nW5tr+bJnLaZuOG+yQv/ltkt8ue0S/ZuV46OXfPno57PGbdW9HMjKzedyXEGgl5adx6TgP/i8Z00M\nBpUT11Pwdi7I0dZpFMq4WPPGNyGUdLRkycD6vPT5AePKvXjy9Ho9AQEBxMTE4OXlRffu3R+47V/T\nbyZNmsR3333HgAEDgNvpN/n5+bz77rts3ryZ9u3bAzBy5Ej8/f0L9bdp0yZCQkK4evUqI0aMwNHR\n0bitZ8+ezJw5k06dOj3M7opnjAT1xdTTcB+DKOBYwpWk+NsrgMmJcTj+ZcX8lsirl/hpThDvTZyF\nja3pysvZY4co7VMZOwcnY5mTi7sxv75sxSooikL6zVRs7R1ITojjm08/ou+w8bi4exbMw9mV5IS4\n2/NIiMOxhCvZWZncuH6FWR8NQVVVbqYkMm/qSAaPnS43y4piKzY1G09HK+N7DwdLYm/q71i3fU1P\nNp2MNinTahS+7FmLX07cYOcfd76ytvFkNN/2fc6krENNj0J97bmQwJ4LCUBByk3+nyfNManZnApP\nRVUhKjmba/GZlHWx4VzUzX+2s+KRsbS0JDg4GL1eT79+/di5cyetW7fGx8eHo0ePmtSNiIjA2toa\nGxubQv20aNGCpUuXGoP6W7RaLU2aNOHo0aPGoP5ubp0knD17lqFDh9KlSxfjTbuKoqAoykPurXjW\nSPqNEA+pbEU/4qMjSYyLJi83l6P7dlCjfhOTOknxMXwzrSAId/X0KtTHkb3bqdfU9EaqWg2acOH0\nMQBio8LJz8/D1t6BzPQ05kz5kIA3B1Het5qxvoOTM1bWtly9+AeqqnJ416/UbNAEK2sbPvtpMx8v\n+Jmp362hXOVqEtCLYu9MZCqlna0p6WiJmVahfU0Pdv4RV6ierYWO+uWc2PG3bVNfrcrluHSWHAg3\nKS/95yo7QOuqbpy/kWayvW0NDzafNg3qnWwKboC1t9LxekNvfj4SBcCOc3E08CkBgKO1GWVcrIlI\nyvyXeywehVtXKS0sLBgzZgyzZs0C4OWXX+b48eMcOnQIgOzsbKZOnUr//v0LtQU4duwY3t7ehbap\nqsrx48eNqTR/b3cn1apVo2XLlixevPiOcxXiQclKvRAPSaPV0n3gB3w1YRgGg4HGbTri6V2Wvb+u\nQwGatO3EppU/kJl+k+XzPwNVRaPTMXrm9wDk6LMJPXWUN94ZadJvo9YdWfzVVCa/+wY6M3P6DBsP\nwO7Na4iPiWLTih/YtHwhKArvT/4CW3tHugd+wKIvPyY3J4dqdRtStU7h3H1Z+xH/BQYVpqw/z/f9\n6qIosOZIFFfiM+hW3wsVWBVScNNh66pu7A9LRJ93+2bF2mUcealWSS7GpLH2vYaoKny+NYz9FxP4\noG1FyrrYkK+qRCZlMTH4D2O7euWciE7JIio522QuY17yo7KnHaqqMmfHZcITCwL3/WGJNK7kwoZh\njck3qEzffIGbWaYpQOLJ+uvqt5+fH2XKlDGmysydO5fJkyczadIk4yMte/bsaay/ZcsWjh8/Tn5+\nPp6ennz66afGbYsWLWLDhg3k5eVRqVIl4xNzAGbMmMH8+fNRVRVFUVi9enWhefXv35+uXbvy5ptv\nYmVlVWiuQjwIRf2PnApOnDhR8sfvYdeFxKKeghDPlEE/HL1/JSHEIxU67cWinoIQRUbSb4QQQggh\nhCjmJKgXQgghhBCimJOgXgghhBBCiGJOgnohhBBCCCGKOQnqhRBCCCGEKObkkZbPCFfbO399uhDi\n8UiISS7qKQghhHiGyEq9EEIIIYQQxZwE9UIIIYQQQhRzEtQLIYQQQghRzElQL4QQQgghRDEnQb0Q\nQgghhBDFnDz9RohH4ETIQRbO+QxVVWnV7hUCXu9jsj0q/Bpzpk/iSlgoPfq/w8uvvWHctnbZQvZs\n34JGq6FMuQq8M2IiZmZmxu3rVy1h8Tdf8kPwDuzsHbgUeo75s6YCYDAY6NLzLRq38AfgwK5trFm6\nEFU1UOf5Jrwx4F0Afpg7i3MnjwKgz87mZmoyi37Z9TgPiRCPXcvqHkzt8RwaBX7ae4WvN4eabHey\nMWfewOdxd7RCqyjM3XqBFfuvAvDFW/Xxr1mS+JvZNBv3q7HNh69UpVczHxJuZgPw8ZrT7DwTA0AV\nLwc+e7MedlY68g0qbSZtJzffQI0yTnzdvwGWZhq2n45m7LITALzZ3Ie3WlUk36CSnZPP8EVH+CMy\n9UkcGnEXfn5++Pr6oqoqiqIwZ84cIiMjGTx4MN7e3uTk5NC6dWuGDRtm0m7w4MEkJiaycuVKY9no\n0aNp0aIF/v7+xrLatWtz4sQJoqKiaN++PT4+PmRnZ2Nra8vrr79OQEDAE9tX8eyRoF6Ih2QwGPju\nqyAmfDafEi4ujBzUm3qNm+FVupyxjp2DA/3eG0HIftNAOi4mmu2b1vHVj2swMzNj5uRRHNi1leb+\nHQFIjI/l1LHfcXX3NLYpXb4C0+f/hEajITkpgWFvdeX5pq3IzEg5/4byAAAgAElEQVRn8Tdf8tm3\ny7Czd2B20ETOnDhC9dr16Dv4f8b2m4NXcu3yhcd8VIR4vBQFpr1Rh87TdxGTksX2Cf5sORHFpeg0\nY53+rStyNjyF7rP2UsLWnMPTOrD64DXyDSrL913hu98uMmfA84X6nrf1AvO2mn5GNIrC3LefJ/Cb\nw4RGpeJgbUZuvgGAGb3rMnRhCCeuJrF8WFNaVPNg19kYfj50nUW7LwPwYq2STHm9Nl1m7H58B0Xc\nl5WVFcHBwSZlkZGR1K1bl/nz56PX6+nUqRP+/v5UrVoVgLS0NMLCwrCzsyMyMhIvL6+79q8oivF1\n6dKlWbt2rXGMIUOGAEhgLx4bSb8R4iFdCj2Hp1dp3Dw80enMaNzCnyMH9pjUsXdwwqeSH1qt6Xm0\ntY0NOp0OfXYW+fl56LOzcXJ2NW7/Yc5Meg9836SNubkFGk3BRzdHr8faxhatVktsdBQlvctgZ+8A\nQPXn6nN4785C892/cysvtGz7SPZdiKLyXHlnrsSmEZmYSV6+SvDv4bSrXcqkTlxqNraWBZ85W0sz\nktP15BtUAH4PSyAlI+eOff8lLjNqUc2DcxEphEYVrLSnZuYC4OZgia2ljhNXkwBYdfAa7Z8rmEeG\nPs/Y3sZCR1K6/iH2WDwKqqrec7uFhQV+fn6Eh4cby7Zt20bLli1p27YtmzZt+lfjenl5MWrUKBYv\nXvyv2gvxIGSlXoiHlJgQh7Oru/G9s6s7l0LPPlBbWzt7Xn7tDQZ274CFpSU16zxPzToNADhyYA/O\nbh6UKV+xULuw82eZM2MycTFRDB1TkIrjWcqbGxHXiI+NpoSLKyEHdpOfl2fSLj42mviYG1SvXe/f\n7q4QTwVPJytuJGUZ30cnZVK7vLNJncV7LhM8ogVnP38FG0sd/ecefKC++7WqyGuNynLqahLjVpwk\nLSsXHw87AFZ+0AxnWwvWhYQze0sono5W3Ei+PY8bSZl4Olkb3/dtWYFBL1bG2lxH+6m/Pcwui0dA\nr9cTEBCAqqp4e3vz9ddfm2xPTU3lzJkzDBo0yFi2adMm3n//fUqUKMHgwYMZOHDgvxq7atWqXL16\n9aHmL8S9SFD/GEybNo3s7OyingYAEydOLOopiHuIuRHJxjXLmL98I9Y2tnw2cQT7dmyh/gstWLNs\nIRNmzL1d+S8rTBX9qvHFwlVEhV9jysghVKtVFxtbO94eOpqZk0eh0WipXLUGsTciTcY7sGsbzzdr\nZXKJWIj/qqEdq3A2IoVOQbso62rLzx82p9m4X01W0P9u4c5LzPjlHACjO1dnyuu1GbowBJ1WoX5F\nV1pP3Io+18DaES04eTWJtKzce87hh52X+GHnJQIalOarfvXpFCT3shQlS0vLQuk3AEePHqVTp05c\nv36dbt26UbFiwWJKYmIi169fp2bNmgCYmZlx6dIlKlSocMf+7/W39X5XCYR4WBLUPwbZ2dkSTD9D\nnF3cSIiLMb5PjI+lhIvbA7W9fPEPfKvWNKbMNGjSktCzpylTviLxMdH8b8DroKokxsfyYeAbBM1d\njINTCWP7UqXL4lHSi+ioCHwq+VHn+SbUeb4JANs3rjWm6dyyf+dW3h46+mF3WYgiF52cRSnn2yvi\nniWsiU7ONKlTv4ILn2/4A4Br8emEJ2RQ0dOOk9eS79pvYtrtFJkley6zdGhToGAF/tCFOGPazW+n\nb1CjrBM/H7pOqRJWxjYl7zAPgODfw/nszbr/Yk/Fk3Arpz4yMpLevXvTp08fPDw82LJlCzdv3qRV\nq1aoqkpGRgYbN25k6NChODo6kpp6+8bn1NRUnJyc7jrGuXPnKF++/JPYHfGMkpx6IR6ST+UqxERF\nEBcTTW5uLgd2baNeo2Z3b/CX1ZpS3mW5eP4MOTl6VFXlzIkQvMqUo3S5Cny/Zhvzlq5n3rINOLu6\n89m3y3BwKkFczA3y8/OBghtto6Mi8CzlDUBqSkGwkp52k63rf6Z1h9s3ZEWGXyUjI51KVao/hqMg\nxJN14koS5dxs8XK2xkyrIaBBaX49ccOkTlj0TZpVLUiNc7W3wMfdjmvxGcbtiqLw93VVNwdL4+uO\ndbwI/fNpNTvPxlDFyxELMw1ajUKjym6ERqUSl5rNzaxcapcrONnu2qgsW05EAVDOzdbY14u1SvJH\nhDz5pqjdb7Xcy8uLN998kzlz5gCwceNGvv/+e3bs2MHOnTtZs2aNMa++QYMGbNmyhdzcghO94OBg\nGjRocMd+IyMjmTFjBr17936EeyOEKVmpF+IhabVa+r83kikj3sGgGmjV7hW8ypRj24Y1oCj4d+xM\nSlIiIwb1IiszA41Gw6a1y/nih58p61OJZm068uHAN9BoNZSvUJk2He/wZARFMf5ndP7MSYKX/4hO\np0On0xH4wRisbQqCh4WzZ3DtchiKotC19wBjsA9wcNd2XmjhX7hvIYohg6oy6qdj/Dy8ORpF4ad9\nVwiLvsmbzX1Q1YJ8+i82/sHX/Ruwe/KLKIrCpFUnjTfHfjOwIY193XCyNefkzJcICj7L8v1XmdC1\nJtVKO2FQVSISMvjgxyMA3MzMZd7WC/w2wR+DCttP3TA+6nLk4mN/PtJSy/bTt8v7ta5Isyru5OYZ\nSEzP4b3vfy+agyWMHiT1sHv37rRt25ajR48SHR1NjRo1jNu8vLyws7Pj9OnTNG/enLNnz9K5c2d0\nOh3e3t5MmjTJWDciIoLOnTsbH2nZu3dvOnXq9Fj2SwgARf2PJHlNnDjxqUl5eZrmcsvZqPSinoIQ\nz5TmYzYW9RSEeOYk/Ni9qKcgRJGR9BshhBBCCCGKOQnqhRBCCCGEKOYkqBdCCCGEEKKYk6BeCCGE\nEEKIYk6CeiGEEEIIIYo5eaTlM6KCu+39KwkhHpmMU/uLegpCPIPk6Tfi2SUr9UIIIYQQQhRzEtQL\nIYQQQghRzElQL4QQQgghRDEnQb0QQgghhBDFnAT1QgghhBBCFHPy9Bsh/qUD+/YyPegTDAaVgM5d\neKv/24XqTPvkYw7s24uVlRWTp07D18/vnm23b/2VeXNnc/XKZZat/Bm/KlUB2LxxAz/+8D2KoqCq\nKmEXL7Dy52C8vLzp07unsTwuNoYOL73ChyNHExEezvixo8nIyABV5b1h/+OFJs2IvnGDYe8PQVVV\ncnNz6fLqa/Ts9eaTO3BCPCJtGvkxY3gXNBoNi9YdZOaPv5lsd7C14puJPSnn7UJ2di4DJy0l9EoM\nAO+83pw+AY0A+CH4AHOX7wGgTpXSfDG6Kzqdlry8fN7/dBXH/winRYPKTHnvFcx0GnJz8/noi3Xs\nPRqGpYUZS6f3o7yXC3n5BrbsO8v4r9cD8G7PFvQJaERuXj4JyekETvyJyNiUJ3iExN/5+fnh6+uL\nwWBAq9Uyfvx4atWqRUhICAsXLmT+/PnGuqNHj6ZFixb4+/vTq1cv4uPjsbCwwMrKiqlTp+Lj4wNA\nZmYm06dP58CBA9jZ2aEoCt27d+e1114jKiqKwMBANmzYUGgu+fn5vPDCC7z22mv873//M5bfbazh\nw4dTp04dXn/9dQBOnTrF+PHjWbt2LVqt9jEfOVEcSFAvxL9gMBj4dOoUvl34I66ubvTs9iotWrai\nXHkfY539+/YQGRHOhi3bOH36FB9PnsBPy1fds23FSpX4/KvZTJk43mS89h1fon3HlwAIC7vI/94b\nQqXKvgCsWrPOWO/1rp1p3cYfgG+/mUf7ji/xWtfuXLl8mXcGDWDLtp24uLqyZNlKzMzMyMrKovPL\nHWjd5kXcPTwe92ET4pFRFIXPR3alfeBX3IhPZf9PI9iw+wwXr8Ua64zo58/JC5F0H/4dFcu48cXo\nrnQInI1feQ/e7NSQxj2nk5efz/o577B571muRSUydWgnJs7ZyI7Dofg3rsInQzvR9u2vSEhOp8t7\n84hNTMOvvAcb5r5DhbbjAPh88W/sP3YJrVbDr9++R+uGfvx26DwnQiP4tkcQ+pw8+r/6Ap8MC6D3\nqB+K6pAJwMrKiuDgYAD279/PzJkzWbJkyQO1nTVrFlWqVGHt2rXMmDHDeAIwduxYvL292b59OwDJ\nycmsWbPmvv0dOHCAKlWqsHXrVpOg/m5jjR49mm7dutG2bVscHR2ZMmUKEydOlIBeGEn6jRD/wtkz\npyldpgwlS5bCzMyMF9t1YNfOHSZ1du3cQceXOwFQo0ZN0tPTSExIuGfbsuXKU6ZMWVRVvevYv27e\nxIvt2hcqv3btKslJydR+rg4Arq6uZKSnA5CWdhM3N3cAzMzMMDMzA0Cvz0ZnZoalpeVDHhEhnqx6\n1cpwKSKO8Ohk8vIM/Lz1GC81r25Sx7e8J3tCLgIQdj2OMp7OuDjZ4lvegyNnr5GTm4fBoLLvWBid\nWtYCICbhJg62VgA42llxI65gZf3MxShiE9MAOH8lBgtzM3Q6Ddn6XPYfuwRAfr6Bk+cjKOXuCMD+\nY5fQ5+QBEHL6KiVdHR7zURH389e/rWlpaTg4PPjP5FbbWrVqERERAUBERARnzpxh2LBhxnpOTk70\n79//vv1t2rSJHj164O3tzcmTJ+87lrOzM/369WP69OksX74cX19fateu/cDzF/99slIvxL8QFxuL\nh4en8b27hztnz5z5W504PP6y+u3u7kFcXOwDtb2XrVs28+XseXcsf7FtO+P7fgPepleP7ixbuoTs\nrGy++f72CmFsTAxDBr1NeEQ4//vgQxwcHR94fCGeBiXdHImMuZ3KEhmbQr1qZUzqnLkYxSutanLo\n1BXqVi2Dt6cTpdwcOXcpmgmDO+JoZ4U+N4+2L1Tl2LnrAIz76hd2/vA/pv0vAEVRaNFnZqGxA1rX\n4mRoBHl5BpNyB1sr2jetxtdLdxVq0yegEVsP/PEodl08BL1eT0BAANnZ2SQkJLBo0aJ/3MfevXup\nUKECAGFhYfj6+v7jPnJycvj999+ZMmUKKSkpbNy4kVq1at1zLIDu3bsTHBzMkSNHHuhqgHi2SFD/\nHzVt2jSys7OZOHFiUU9F/Oleq+8P6szp01hZWeHzlz/yt/y6ZTOfBM0wvv8saBqdu7zKG737cPrU\nST4a+SHB6zcB4O7hwerg9STEx9P3zTdo1LgJ3qVLP/T8hHiafPbDNj778FUOLhvJuUs3OBUaSb7B\nwMVrscz88Tc2zn+XjEw9J0MjyTcUfD7nTejJ/4JWs2H3aQJa12L+xDfoOGi2sU+/8h5MfvdlOgTO\nNhlLo1H48dM+zF62m/DoJJNt3dvXo7afNyNmShBW1CwtLY3pNydPnmTEiBFs3LgRRVHuWP+v5cOH\nDycnJ4e0tDTWr19/x/rz58/n119/JTExkX379t11Hrt27aJ+/fqYm5vTqlUrvv76a8aMGWMc725j\nKYpCt27dOHfu3D+6yiCeDZJ+8x8lAf3j5ebuTnT0DeP72JhY3Nzc/lbHjZiYmNt1YmNwc3N/oLZ3\n8+uWTbRt37FQ+cULoRgM+fj5VTGWnTxxnDYvFqzc16hZi5wcPcnJpsGGi6srz9Wpw4XQ8w80vhBP\nixtxKXh7OBnfe7k7GlNlbknP1BM4aSmNegQxYPwSXEvYcjUyAYAl6w/zQs/pvDjgS1LTsgi7HgcU\npPVs2H0agODfTlK36u3V/1JujqyYOYB+YxcXCtznjHudsGuxzFuxx6S8RYPKfPiWP13e/6bQyr4o\nWrVq1SI5OZmkpCQcHR1JTU012Z6SkoKT0+3fsZkzZ7Jjxw5effVVvvvuOwAqVKhAaGiosU5gYCDr\n1q0reEDBPWzatImDBw/SqlUrOnfuTGpqKocPH77nWLdoNBo0GgnfRGHyWyHEv1C1WnUiwsO5cSOK\n3Jwctm7ZRPMWrUzqNG/Rio3rC25iPX3qJHZ29ji7uDxQWyi8sq+qKtu2bqFt+8L59Fs2b6Ld34L9\ncuV9+P3QQQCuXL5MTk4OTk4liI2NRa/XA3AzNZVTJ09QoVKlf38whCgCR89dx8fbldKeTpjptLz6\nYh027jFNY7O3tUSnK/hvrm9AI/Ydu0RGVg4ALk62AHh7OPFyyxqs3HIUgEvh8bxQp+BKWPP6lbgU\nXhDsO9hasearQMZ++QshZ66ZjDNhcEfsbSwZMXOtSXnNyl58/VF3Xh36DUmp9w7yxJPx17+rly9f\nxmAw4OTkRJkyZYiPj+fKlSsAREVFceHCBZPUmltt33//fXbu3El0dDSlS5emWrVqfP755xgMBSdt\ner3+nldm09PTOXr0KLt372bHjh3s3LmT8ePHmzwh505jCXE/kn4jxL+g1WoZPWYcgQPeQjWodOr8\nKuV9fFi9agUKCq927UaTps3Yt3cPHdu2+fORlp/esy3Azh2/Me2TKaQkJ/Pu4EAq+/oy95uCVZpj\nR4/g6VmSUqW8Cs1n+9ZfmT3/W5OyYR98yMTxY/hp8Y8oGg0ffxIEwNUrl5k5fRqKRoOiKPQbMJCy\nZcs9zsMlxCNnMKgMC1rFhrlD0GgUFq07xIWrsfTr0hhVhYVrD+BbzoMFk3thMKicvxJN4KSlxvbL\nP+uPk701uXn5vP/JKtIysgF4d+oKvhjVFTMzLfqcPAZPXgbAwG5NKe/lwui32/HRwHaoKrw0eDYW\nZjpG9PMn9Gosh5aPRFVh/so9LP7lMFOHdsLaypyl0/uhKBARnUTX/y0okuMlCuTk5BAQEGAMmoOC\nglAUBXNzc2bMmMHo0aPJyclBp9MxdepUbG0LTv7+moZjYWFB7969mT9/PpMmTWLKlClMnz6dNm3a\n4OTkhKWlJSNGjDDWv3r1Ks2bN0dVVRRFYejQoTRs2BCd7nYI1rJlS2bMmEFubu49xxLiXhT1UST6\nPgUmTpz41KSbPA1z+fscsvOKbi5CPIuc6g0p6ikI8czJOjH7/pWE+I+S9BshhBBCCCGKOQnqhRBC\nCCGEKOYkqBdCCCGEEKKYk6BeCCGEEEKIYk6CeiGEEEIIIYo5CeqFEEIIIYQo5uQ59c8Iw3/jyaVC\nFB8abVHPQAghxDNEVuqFEEIIIYQo5v4zK/WWlpZF/oVPt4SGhhb1FIQQQgghxDPkPxPUjxo1qqin\nYPS0nFwIIYQQQohnw38mqP+vmjZtGtnZ2f+4nVwtEEIIIYR4dkhQ/5TLzs7+Vyv/crXg6XRg/z4+\nC/oEg8FAp86v0rffgEJ1gj75mAP792FlZcWkjz/B168KABPHjWHfnt04OzuzKni9sf4XM2ewd/cu\nzMzN8fL2ZtLHn2Jra/vE9kmIp12bhr7MGN4ZjaKw6JfDzFy0w2S7g60V30x4nXJeLmTrcxk4aRmh\nV2MBGN63Na+3q0u+QeXcpRu8PXEZuXn51KlSmi9GvopOpyUvL5/3p63m+PmIotg98Q/MmzePTZs2\nodFo0Gq1TJo0iW+//ZbIyEgyMzNJSkrC29sbgAkTJlC1alWmT5/Onj17UBSFChUqMH78eNzd3QGo\nXbs2J06cMBlj9uzZrFq1CmdnZ1RVRVEUlixZwh9//EHv3r2ZP38+zZs3ByAwMJB+/fpRr149kz5G\njx5NSEgI9vb2KIrChAkTqFmzZqHyjz76iLp16wKQm5vLjBkz2L179x3n6ufnh6+vL3l5efj4+BAU\nFISFhYWx/NZc27dvz4ABA+jVqxfx8fFYWFhgZWXF1KlT8fHxoWvXruTm5pKSkkJ2djYeHh4AVKhQ\ngeeee47XX38dgFOnTjF+/HjWrl2LVisPDngSJKgX4gkxGAwETZ3C/O9/wNXVjTe6v0bzFq0oV768\nsc7+fXuJjIhg/eatnDl9ik+mTGLxspUAvBLQmdd7vsG40SNN+n2+UWPeG/YBGo2GLz+fycIF3/De\nsA+e6L4J8bRSFIXPR75K+8A53EhIZf/iD9iw5wwXr8UZ64x4qw0nL0TS/cOFVCzjxhcjX6XD4LmU\n9nDirU4NqdnlE3Lz8lny6Zu89uJzLNt0hKnvv8zEeZvYcfgC/o38+GToK7QdOLsI91Tcz8mTJ9mz\nZw/r1q1Dp9ORkpJCbm4us2cX/NxCQkJYuHAh8+fPN7YJCgoiKyuLbdu2AbB27VqGDBnC6tWrgYLf\nrzvp27cvffv2LVTu4eFhEtTfy8iRI/H39+fAgQOMGzeO9evXm5T//vvvTJo0iQ0bNgAwa9YsMjMz\n7zpXKysrgoODARg+fDjLly+nT58+JuV/N2vWLKpUqcLatWuZMWMG8+fPZ9WqVQAEBwdz7tw5xo4d\nC0BiYiLdunWjbdu2ODo6MmXKFCZOnCgB/RMkT78R4gk5e+Y03mXKULJkKczMzHixXXt27zJdMdy9\ncwcdX34FgOo1apKelkZiQgIAtZ+rg529faF+n2/YCI2m4KNco0ZN4mJjH/OeCFF81Kv6f/buMyCK\now3g+P8oCoICShMLdsGWGI29tyiogFFjNHaNqDGJBbGLXbAn9hhbErsBRcRu7N3YsIENEGl2erl9\nPxBXL2B9VcQ8vy+ys8/MzqxwPDc3OxQlJDSG0Mj7pKVp2bDjb1rVr6gT41DCln0nggEIvhWNvV1+\nLM1NeBSfREpaOibGudDX18PYKBd3Yh4CEBn7CDNTYwDM8xoTEf3w/Q5MvLaYmBgsLCwwMMiYzzQ3\nN8fKyuq58UlJSfz555+MGDFCLWvTpg25c+fm6NGjACjP2S76eeUODg6Ymppy5MiRV+73559/TlhY\n5k+BKleurJa/bl+rVq1KaGjoC/v67LlPP/00yz48q0CBAvTs2RMfHx9Wr16Ng4MDlStXfsVRirdB\nknoh3pPo6Cj1Y0oAGxvbTAl4THQUNs/EWNnYEB396km6n+9Gatet+/93VoiPhJ21OeFRD9Tj8KgH\n2Fmb6cScv3obl0afAFC1fFGK2FpQyMacB48TmfP7Xq4GeHEtcDwPHyey9/hVAEb/7I/3QFeuBngx\n6fvWjJnr//4GJd5I7dq1uXPnDs2bN2fcuHGcOHHihfG3bt2iUKFC5MmTR6e8fPnyhISEvLDu8uXL\ncXNzw9XVla5du+qcc3d3Z/78+a/c7927d1OmTJlM5fv376dUqVKv3de0tDT2799P2bJlAUhOTlb7\n6ubmRmBg4Auv9SIdOnTg2rVrLF26FA8Pj1ceo3g7ZPnNR2zq1Kkf1K5A4t1asmghBgYGtHBuld1d\nESJHmb58F9OHtOHwH0MICrnD2SvhpKcrFCtUgAEdG1C25TgexiWy2qcHXzWvwtptp1gw+msGTduI\n/1/ncWv8CQvHdKRl/1dP1MT7lydPHnx9fTl58iRHjx5l4MCBDBkyBFdX17d+rectvwHUNfCnTp16\nYRve3t4sWLCA/PnzM3nyZLXcx8eHGTNmcOfOHVatWvXKfXqSvANUqVKFL7/8EsjYEvx5y2+GDBlC\nSkoKjx8/Vpf/vIhGo+Grr74iKCgIMzOzl8aLt0uS+o/Ym+yaI94da2sbIu/cUY+joiKx/ucBpies\nrG2IioxUj6OjIrG21o3Jyma/Pzl4YB+Ll654ex0W4iMQEf2AIrYW6nFhG/NMS2XiEpJxH79aPb64\naTQ3bsfSvE45jpy9zv1HCQD47TlLjUrFWLvtFJ9XsFeTeN/dZ1kw5uv3MBrx/9JoNHz++ed8/vnn\nlClTBj8/v+cm9UWLFiUiIoKEhASdGfCgoCAaNWqktvcm3N3dWbBggboUKCtP1s7/29ChQ2nWrBl/\n/PEH8+bNY8GCBa/U1xcl788zY8YMypUrh4+PD0uWLFHXz7+Inp6euiRUvF9y14V4T8pXqEhYaCgR\nEbdJTU1he+BW6jdopBNTv2EjtmzeBMC5s2fImzcfBSwtnwYoCgq66x8PHTzAimVLmT13Prly5Xrn\n4xAiJzl5MZSSRSwpamuBoYE+bZtVZsu+Czox+UyNMDDI+HXY3a0mB/++RnxiCldvRlOtYjFy58pI\nvBpWK8Olf3bFCQmLoc5nJQFo8HkZQm7FvMdRiTdx48YNbt26pR5funSJQoUKPTfe2NgYNzc3pkyZ\nglarBcDPz4+kpCSqV68OvP6a+idq167No0ePuHr16usOQ9WpUyeioqI4c+bMO+vrk3M//PADe/bs\n4c4zE1PiwyMz9UK8J/r6+niOHE2/b3ui1Sq4tvmSEiVLsmHdGjQaDV+2+4q69epz6MA+WrdohtE/\nW1o+MXzoYE6eOM7DBw9o0aQh7v2/w8XtS7wnTyQ1NZW+vXsCGQ/Yjhg9NruGKcQHRatVGOi9Af95\nfdHT02PFpqNcuRlFzza1UBSFpb5HcChmwy/jOqFVFC5di8R9Qsas/fngCFZtOcHh34eQrlU4eyWc\npb6HARgwaS2zh7XF0MCA5JRU+k9ak53DFK8gISGBCRMmEBcXh76+Pvb29owfP/6FdQYOHIiPjw9f\nfPEFenp6lChRgnnz5qnnk5OTadCggbodZLdu3QBYsWIF/v7+avmzdZ5wd3enf//+/9eY3N3dmTt3\nLkuWLHlpX5/3qUJKSgpubm5qX+vWrcugQYN04nPnzq1uxzlu3Lj/q8/i3dEoL3s7KV6bl5fXW9sn\n/k3belLnyb8JqfLfLMT7VKDGj9ndBSH+cxJPzcnuLgiRbWT5jRBCCCGEEDmcJPVCCCGEEELkcJLU\nCyGEEEIIkcNJUi+EEEIIIUQOJ0m9EEIIIYQQOZwk9R8pIyMjLl++nN3dEEIIIYQQ74HsU/+RGjZs\nmM5WmBre7K/eCSHekOwWLIQQ4j2SmXohhBBCCCFyOEnqhRBCCCGEyOEkqRdCCCGEECKHk6ReCCGE\nEEKIHE6SeiFew6GD+3Ft1ZzWzl+w7NfFWcZ4T55IK6dmtP/ShcuXL720rueQgXRo50aHdm44fdGI\nDu3cANga4M9XbV3p0M6Nr9q68lklR65euUxSUhID+vXBrVUL2rq14qfZMzP1YdfO7VSu6MCli0EA\nnDh+TKet6lUq8dfe3QCM8ByCa6vmtHNrxbgxI0lPT39r90uId6lpLUfObBzJOd9RDO7aJNN5M1Nj\n1kzvybE1nuxbMQiH4rbquf5f1+fE2mGcWDuM/l/XV8sn/Ud/+TQAACAASURBVNCavzeO4Ojqoaye\n1oO8JkYANKxWhoO/D+HYGk8O/jaYelVLA2BinIsjq4Zy+A8PjqwaSujuyXgPyvgZ7tSyGrd2TeLw\nHx4c/sODLi413uXtEC/RpUsXDh06pFO2YsUKxo0bB8Dy5cupVKkScXFx6vnjx4/j4ODAX3/9pZa5\nu7tz4sQJADp37kzz5s1xcXHBycmJiRMn8vjxY51r7Nq1CwcHB27cuKGW3b59m1atWmXq4/Dhw9mx\nYwcAe/fuxc3NDRcXF1q2bMm6desA+Pnnn3FwcCAsLEytt3z5chwcHAgKCnqTWyM+EpLUC/GKtFot\nUydNYP6iX9not4XArQHcuH5NJ+bggX2EhYXiv3UHo8eOZ9L4sS+t6z19FmvW+7JmvS9NmnxB4yZN\nAXBybsXaDX6sWe/LpCk+FCpchDJlHQDo2r0nvv6BrFnvy5m/T3H40AG1DwkJ8az+4zcqVvpULfu8\nWnW1rV9+XYGxsTE1a9UBwLlVa/z8t7He15/EpCR8N65/dzdRiLdEo9Ewy7Mtrb+bz2ftJtOu+WeU\nKWatEzO0Z1POXA6negdveo35nRlDvwTAsYQtXV1rUPub6VT/2psWdctTrFABAHYducxnbadQ42sf\nQkJj8Oie8fMYez+OL39YRPUO3vQe+wdLJ3QGID4xhZodfajVaRo1O/oQeucefrvPqH3YsP00tTpN\no1anaazcdPR93BrxHK1atWLLli06ZVu3bqVly5bq17Vq1WLnzp06Mba2tixcuPC57c6cOZNNmzax\nefNmDA0N6devn875gIAAGjRoQEBAwCv3NS0tjTFjxrBo0SI2bdqEr68v1apVAzK+98uWLavT3vbt\n2ylduvQrty8+TpLUC/GKLpw/R1F7e+zsCmFoaEjzFs7qbPcTf+3ZTavWrgBUrPQJcY8fczc29pXq\nAuzYHkjzFi0zlQduDaB5Cycg428QVP0848XdwMAAB8dyREVGqrHzfp5D9569yZXLMMtx7Ny5ndp1\n6pE7d24Aatepp56rULEiUVGRWdYT4kPyeQV7QkJjCL1zn7Q0LRu2n6ZV/Uo6MQ4lbNl34ioAwbei\nsbfLj6W5KQ7FbTlx/hYpqWlotQoHToXg2ugTAPYev4ryz3akx8/fpJCNOQDngyOIupsxA3vpeiS5\ncxlgYKD7K7RUUSusLEw5cvbpjKxGdhP+YDRr1oz9+/eTlpYGZMyWx8TEUKVKFcLCwkhLS6Nv376Z\nEn8HBwdMTU05cuRIlu0++X4xMDDAw8ODO3fucOXKFQASEhI4e/YsY8eOfa2kPj4+Hq1Wi5mZGQCG\nhoYUK1ZMPd+4cWN27874HRIWFkbevHmxsLB45fbFx0mSeiFeUXR0FDa2BdVjGxsboqOi/xUTjY3t\n04/4rW1siY6OeqW6p0+dpIClJUWKFs107R3bttLcKXOy/+jRI/b/tZdqNWoCcPnSRaKiIqlTt36m\n2Ce2BwZk2VZaWhoB/pupVbvuc+sK8aGwszIjPOq+ehwe/QA7azOdmPNXb+PyT7JetXxRithaUMjG\nnKBrEdSuXBLzvMYYGxnSvE55Cv+TvD+ri0sNdhy6mKncrfGnnLkcTlqaVqe8bbPP2LDjtE6ZS6NP\nOLbGk9+ndqeQdeZriPfHzMyMihUrsn//fiBjBr158+Y6X3/yySeEhoZy7949nbru7u7Mnz//pdfQ\n09OjbNmyXL9+HYDdu3dTp04dChYsSIECBbh4MfP30/P62rBhQxo2bMjgwYPx9/dX3zwAmJqaUrBg\nQYKDgwkICMDJyemV2hUfN0nqP2JGRkbZ3QXBq/8BosCtW7JMts+fP4exsTElS5bSKU9PT2e452A6\nde5KoUKFURSF6T5TGOwx7OnV//UHkGJjYwgJDqZW7TqZrjN54jiqVP2cyp9VeeU+C/Ehm75sF+b5\n8nD4Dw/6tK/L2cvhpGu1XL0ZzYwVu9iyoD9+P7lz5ko46Vrdn5WhPZuRlpbO2m2ndModS9gyfkBL\n+k9ck+l67b74jHXbnib1AfvOU7alF9U7eLPn+BV+Gd/p3QxUvDJnZ2d1xnzr1q3quvaAgABatGgB\nQJMmTQgMDNSpV7VqVQBOndL9fsjKs6+7z7bbvHlz/P39X7mvEydOZMWKFVSqVIlly5YxYsQI9ZxG\no8HJyYmAgAB2795N06ZNM73ei/8e+YuyH7Fhw4a9PEi8MmtrGyLvRKjHUVFRWNtY/yvGWmcpTFRU\nJNbWNqSmpr6wbnp6Ont27WT1+j8zXfd5M+sTvEZTrFhxvu70z9re+HiuXQuhV/fOKIrC3dhYfvy+\nH3N+XoBjufIA7NgWSKPGTdDX19dpa9GCuTy4f58xXhNe55YIkW0iYh5SxDa/elzY2pyI6Ic6MXEJ\nybiPW6UeX/Ify43wWAB+23yM3zYfA8CrvzPhkQ/UuG9aVaN57XI07zNXp71C1uasmd6TnqN/J/SO\n7kxuhdJ26OvpcfZKuFr24HGi+vUy3yNM+qH1mw5XvCWNGzdm6tSpXLx4kaSkJBwdHbl69So3b96k\nW7duAKSmplK4cGE6ddJ9E+bu7s6CBQswMHh+6qTVarl69SolS5bk4cOHHD16lKtXr6LRaNBqtWg0\nGjw9PV+5v6VLl6Z06dK0bt2aJk2aMGXKFPVcgwYN8PHxoWLFipiYmLzejRAfJZmpF+IVla9QkbDQ\nUCIibpOamsK2wADqN2isE1O/YWP8N/sBcO7sGfLmzUcBS8uX1j165BDFS5TA2tpGpz1FUdixPZAv\nWuh+tDr3p1nExcfh4fl05sbU1JS9+48QsG03W7fvoWKlT/hp7kI1oQfYlsUbhD83rOfwoYNMnZZ5\nFx0hPlQng25RsoglRQtaYGigT9svPmPL/vM6MflMjdR1793danLgVAjxiSkAWJqbAlDE1oLWDT9R\nZ+Sb1nJkYJfGtB24mJTUNJ22Ns75llE/beb4+ZuZ+tP+iyqs2647i2tTIK/6dasGFbl8Per/H7j4\nv+TJk4dq1aoxYsQI9QHZgIAABgwYwO7du9m9ezf79+8nOjqaO3fu6NStXbs2jx494urVqzrlT2bI\n09LSmD59OnZ2dpQpU4Zt27bh4uLCnj172L17N3v37qVQoUKcPHnypf1MSEjg+PHj6vGlS5ews7PT\niTEyMmLIkCG4u7u/0b0QHx+ZqRfiFenr6zNs5Gj6ftsDrVbBrU1bSpQsyYZ1a0CjoW27r6hbrz4H\nD+yjVYumGBsbM27ilBfWfWL7tsAsZ+NPnTyBra0dhQoVVsuioqL49ZdFFC9Rkq/auqLRaOjwdSdc\n27TVqavRaHQ+jo2IuE1UZKT6kO0Tkyd6UdCuEJ07tkej0dC4SVN699HdvUGID41WqzDQewP+8/qh\np6dhhd9RrtyIoueXtVAUWPrnYRyK2/LLuE5oFYVL1yJxH/901n719B5Y5MtDapqWH6as43F8EgAz\nh35JLkMDtszvD2Q8LPvj1PW4f1WPEoUtGd67OSO+bYGiKLTqP5+7D+IBaNP0U1wH6O6Q0u/r+jjX\nq0Bqmpb7j+LpPfb393R3xIs4OzszYMAAZs+eDWQsw1m8WHeL4qZNmxIQEEClSroPX7u7u9O/f3+d\nMg8PD3LlykVKSgq1atVS195v3bqV3r1768Q2a9aMgIAAevXqxY0bN2jQoAGKoqDRaBg+fLgapygK\nS5YsYezYsRgZGWFsbIy3t3emsTy7ll4jT2X/52kUWYT11nl5eeHl5fVBtZWY+v/3RQjx6vJX/z67\nuyDEf07i6Z+yuwtCZBuZqX8HjIyM3lpSf/ny5bfSjhBCCCGE+HhJUv8OvM0HVN/WmwMhhBBCCPHx\nkgdlhRBCCCGEyOEkqRdCCCGEECKHk6ReCCGEEEKIHE6SeiGEEEIIIXI4eVD2P+Kh7GkpxPtlWSS7\neyCEEOI/RGbqhRBCCCGEyOEkqRdCCCGEECKHk6ReCCGEEEKIHE6SeiGEEEIIIXI4eVBWiGxy7PBB\n5s70RqtocW7dho5de2aKmTN9MscOH8TYyJhhYydRuqwDAL8v+4WdgVvQ09ejRMkyDBs7EUNDw/c9\nBCFynKZVizGtbyP0NBpWbDvPjHXHdc6bmeRm0eDmFC9oTlJKGn1mbONy6F0KWZqyZKgT1uYmaBWF\nZYHnmO93OptGId6Uo6MjDg4OKIqCRqPBycmJ3r1707lzZ27fvs2ePXvU2H79+nHkyBH+/vtvbt++\njZOTEyVKlECr1ZInTx6mTJlCsWLFOH78OP369aNIkSJqu0OHDiU+Pp65c+ei0WgAUBSFK1eusHjx\nYkJDQ1m/fr16Li0tjeDgYLZu3UpsbCxLly5l4cKFOn3v3LkzMTExGBsboygK9vb2zJkzh59//pl5\n8+axc+dOihTJeEB/+fLlTJ06lY0bN1K+fHkaNWqEqakpenp6aDQaqlatysiRIxk2bBiHDx9m9+7d\nGBoacv/+fb788ksWLVqEh4cHGo2GiIgITE1NyZs3L/nz52fp0qXv6X9LvC5J6oXIBlqtljnTJjFz\n/q9YWlnRp0sHatdviH2xEmrM0UMHiAgPY9WfW7l44Rwzp45nwbJVRN6JYIvfRn7b4I+hoSFewwez\ne8dWmju7ZOOIhPjwaTQwq38TnDzXEXE3joNzO+N/JISrYffUmKFf1+DMtWg6jN9E6cIWzP6uKc7D\n1pGWruC58C/OXY/GxMiQw/O6sOvUTZ264sNnbGyMr69vlufy5s3L6dOn+eyzz3j8+DGxsbFq0g1Q\ntGhRte7atWtZtGgRU6ZMAaBq1aqZknCAJk2aqF+vW7cOf39/6tatC0CnTp3Uc7NmzaJcuXKUKFGC\n2NjY5/Z/5syZlCtXTqdMo9FQtmxZAgICcHd3B2D79u2ULl1aJ+a3337DzMwsU10DAwM2btxIhw4d\n1LLSpUvj5+cHwPDhw2nYsCHNmjV7br/Eh0GW3wiRDS4FnadQEXtsC9phYGBIo2YtOLRvr07Mof17\n+MKpNQDlKlQiLu4x9+7GYmJigqGhIUmJCaSlpZGUlISlpXV2DEOIHOXzsgUJibhPaPQj0tK1bPjr\nEq1qltKJcShagH1/hwIQHH4fe5t8WJoZE3U/nnPXowGIT0rlSthd7AqYvvcxiP+PoijPPefs7ExA\nQAAAO3bsoGnTps+NjYuLI1++fK983Rs3bjBv3jymT5+e6dyJEyfYtm0bY8aMeWk7Wq02y/LGjRuz\ne/duAMLCwsibNy8WFhbqeUVRnlu3S5cuLF++/LnnRc4hSb0Q2SA2JhprG1v12MrahpiYKJ2YmOh/\nxVjZEBsTTd58ZrTv1JV2rZrS1rkRpnnzUrV6zffWdyFyKjvLvITHPFaPw2PjsLPUTczPX4/GpU7G\nDGfVsrYUsc5HIcu8OjFFbfJRqYQ1Jy7fefedFm9VcnIybm5uuLq64ubmRmBgoHquRo0anDx5Eq1W\ny9atW3F2dtapGxoaipubG02bNmX58uV0795dPXfy5EmddsPCwtRzaWlpDBkyhOHDh2NjY6PT5qNH\njxg+fDje3t6YmJi8tP8eHh64ubnh5ubGtGnT1HJTU1MKFixIcHAwAQEBODk5ZarbtWtXtX8rVqxQ\ny+3s7KhSpQqbNm166fXFh02W33yEpk6dSlJSEgBeXl7Z2xnx1kWEh7F+9UrWbd6JiakpY4YNZOe2\nAJo2d355ZSHEC01fe4zpfRtzeF4Xgm7GcPZaFOnap7O7JkaGrBrtwpAFe4hPkj/ql9MYGRk9d/mN\nvr4+VapUISAggOTkZOzs7HRm9p9dfhMYGMioUaNYsmQJ8PzlNwCzZ8+mTJkyNG/ePNM5Ly8vXF1d\n+fTTT1+p/zNmzMi0/AZQnw8ICAjg0KFDLF++nI0bN+rEZLX85olvv/2W/v37U79+/Rd+miE+bJLU\nf4SSkpIkmf/AWVpZEx35dJYvJjoKKyvdGRwra2uioyJ1YiytrDlz+iQVKlUm3z8vzvUaNiHo3BlJ\n6oV4iYjYxxSxerpkorClKRGxcToxcYmpuM/cph5fWtmbG3ceAKCvp2HVaBdW7wpiy5GQ99Np8V45\nOTnRv39/vv/+ewCdNfXPatSoESNGjHhpe8eOHWPnzp3q+vRn+fr6EhERkeWSnOd5UcLdoEEDfHx8\nqFixYpaz/i+qa29vj4ODA4GBgc8ds/jwyfIbIbKBQ7kK3A4PJfJOBKmpqezZEUiteg10YmrXa8j2\nrZsBCDp/FtO8eclfwJKi9sW4eOEcycnJKIrC6ePHdB6wFUJk7eTVSEramVPUOh+GBnq0beCYKTnP\nlycXBvoZvxq7t6jEgXPh6oz8osEtuBx6l3my602O9bJZ6KpVq+Lu7q4uvXle/MmTJ9WdZp7n4cOH\njBgxAh8fH4yNjXXOhYWFMWvWLKZPn46e3qunYi/qv5GREUOGDFEfln1d7u7u/Prrr29UV3wYZKZe\niGygr6/PDx4jGfLdt+qWlsWKl2Tzn+sADa3btKNG7XocPXSAjm4tMDI2ZtiYiQCUKuPAF86t+LZz\ne/T09Shd1pFWbdpm74CEyAG0WoWB83bhP6UdenoaVmw7x5Wwe/R0/gRFUVi69RwORQvwi4cTWkXh\n0q1Y3GdkzNrXLFeIDo0cuXAzliPzu6AoMHbZfnaevJm9gxKvJSUlBTc3N3Xrybp16zJo0CCd2eln\n18o/Wx4WFoabmxtarZZcuXIxadIk9dypU6d02u3bty83b97k3r176ifnT859++23HDlyhOTkZAYM\nGKBzbtSoUQAcPXqUBg0aqOVz5sxBo9Hg4eGBkZERiqJkub3ks2vpn+27RqOhS5cu6OvrA1C2bFmm\nTp2qU7dUqVKUL1+eS5cuvdG9FdlPo8jiqQ+al5fXay+lyapO5CNZ+ynE+1S87ezs7oIQ/zmJOzyy\nuwtCZBtZfiOEEEIIIUQOJ0m9EEIIIYQQOZwk9UIIIYQQQuRwktQLIYQQQgiRw0lSL4QQQgghRA4n\nSb0QQgghhBA5nOxT/x+hryd/IU6I9yotJbt7IIQQ4j9EZuqFEEIIIYTI4SSpF0IIIYQQIoeTpF4I\nIYQQQogcTpJ6IYQQQgghcjh5UPYDZ2RkhJeX12vVuXz58rvpjBBCCCGE+CBJUv+BGzZs2GvXed03\nAeLNHD18gJ+me6NVtLR0acM33XplipntM5mjhw9gZGzMSK9JlC7rCEDc48dMnTCGG9dC0OhpGD5m\nIuUrVlLrrf5tOfPnTCdg90HymZnz6OEDRg0dyKWLF3Bu5caPQ0eosVcuXWSy10iSU5KpWbsuPwwZ\nDsDaP1bg77cRAwMDzC3yM3zMBGxsCwIQFXkH7wljiI6KRKOnx7Q5C7AtaPcub5cQb13Tz0swrX9T\n9DQaVgSeZcaaIzrnzUxys2hoS4rbWZCUnEafaVu4fCuWXIb67JrdGUMDfXIZ6rPl0FXG/voXACO6\n1KWH86dEP0gAYOySvew8cZ1chvosHtqScsWs0NfXY/XO80xfnXG9tg0c8ehUGz2NhsCjwYxZktGW\nd98m1PvUHgUwMTLE0iwPhVxnvq/bI7Lg6OiIg4MDqampGBgY4OLiQvfu3QE4fvw4S5cuZeHChdy9\ne5eRI0dy584d0tLSKFy4MIsWLQIgODiYiRMnEhUVhaIouLi40K9fPwB8fX3x8fHB1taWlJQUOnbs\nSKdOnQCYO3cu69ato0CBAiQkJFC2bFl++OEHSpYsCUDnzp2JiYnB2NgYRVGwt7dnzpw5OvXS0tIY\nMGAAzZo1A2D48OE0bNhQPU5KSsLFxYX58+er7S5atIjo6GhGjx6tcy+io6OZPHkyly5dwtTUFCsr\nK0aOHEmRIkW4cuUKEydOJCYmBkVRaNOmDX369AFg/fr1jBkzhi1btqjXaNGiBcuXL8fGxoZ69eph\nbm6OoigANG3aFHd3d3LlysWRI0f4/fffmTdvntoPDw8PmjdvTuPGjUlLS2PmzJns2rULU1NTcufO\nTf/+/Zk1axZarZYHDx6QlJSEjY0NGo2GhQsXYmNj85a/S3IuSeqFeANarZZZ3pOYs3AplpZW9Ory\nFXXrN8K+eAk15sihA9wOD2ONXyBB588xbfJ4Fq9YDcCc6VOoWaceE31mkZaWRnJSklovOiqSE8cO\n6yTZuXLlpne/77l+LZgbISE6fZk+ZTzDxozHsXxFhnzvzrHDB6leqw5lHMrx6+8dyJ07N34b1jJ/\nzgzGTZkOwMQxw+nWy50q1WqQlJiIRk9W4omcRaOBWd9/gdOQP4iIjePggh74H7rK1bC7aszQTrU5\nExxFh7EbKV0kP7O/b46zxypSUtP5YtDvJCanoaenYe9PXalZvjBHgsIB+Gn9MX7acFzneu0algOg\nWu8lGOUy4O9lfVi7O4i4xBQm9WlMjW+XcP9xEouGtqTep/bsP3MLzwW71PrurlWpVFKSj+xmbGyM\nr68vAPfu3WPw4MHEx8fz3Xff6cTNmTOH2rVr07lzZwCuXr0KQHJyMv369WP8+PHUrFmT5ORkvvvu\nO1atWkXHjh0BcHZ2ZtSoUTx48AAnJydatGhB/vz5Aejevbv6JmLr1q107doVf39/LCwsAJg5cybl\nypXL1O8n9W7dukX79u3VJP7fjIyMGDFiBOPGjWPlypVERESwceNGdczP6t+/Px06dGD27NlAxqf8\nsbGxWFlZ0b9/fyZNmkT16tVJSkqif//+WFhY0L59ewAKFizIwoULmTZtGgAazdNts/X09Fi1ahWm\npqbEx8czatQoxo0bx6RJkzLF/tuMGTN49OgRgYGB6Ovrc/fuXU6dOsXGjRuBjDcUISEhDB8+/Llt\n/JfJb3Ih3sDFoPMULmqPbUE7DAwNadysBQf27dGJObhvD81btgagfMVKxMfFce9uLPFxcZz9+zTO\nrd0AMDAwwMTUVK330wxv+v8wRKctI2NjKn5SmVyGuXTK78bGkJgQj2P5igA0d27Ngb8y+lG5yufk\nzp1bvX5MdBQAN29cQ6vVUqVaDbXtJ3FC5BSfO9gREn6f0KhHpKVr2bA3iFa1y+jEONhbsu/vmwAE\nh93D3tYMS7M8ACQmpwGQ21AfPT0N9+OevrHOKumIuhdPHqNc6OlpyGNkSHJqGo/ikyle0ILgsLvc\nf5xRf+/pm7jVc8hUv32jcqzbE/RWxi7ejvz58zN+/Hh+++23TOdiYmKwtbVVj8uUyfje8vf3p0qV\nKtSsWROA3LlzM2bMGBYvXpypDXNzc4oUKUJ4eHiW13dycqJOnTps2bJFLdNqtS/ss729PYaGhty7\nd++5MfXr18fc3Bx/f3+mTJnCjz/+iImJiU7MoUOHMDEx4csvv1TLHBwcqFy5Mps2baJ69epUr14d\nyHijMGrUKPWTCoBGjRpx8eJFwsLCANRZ+X9/bWJiwoQJE9i2bRtxcXEvHFt8fDy+vr6MHj0afX19\nAAoUKPDcNzAiM0nqhXgDsdFRWNs8fcG3trElNjpaJybmXzGW1tbEREcTERGOmbk5k71G0qNjW7wn\njlVn6g/u24ONrS0lS+smJ88TExONlfXTa1hZ2xATE5UpbsumP6lRuy4AYbduYWJqykiPH+jRqR3z\nf5qh8yIsRE5gZ5mX8JhH6nF4zGPsLPPqxJy/Fo1L3bIAVHWwo4i1GYWsMmI0GjiyqCc3N/zI/jO3\nuHwrVq3n7lqVo4t7MX+wM2YmGW94d528zuOEZG6s/4HLq/oze90xHsYnc+32PcoUKUAR63zo62lo\nXbsMhazy6fSjiHU+7G3N+eufNxjiw1GkSBEURcmUJHfq1IkRI0bQtWtXFi5cSPQ/r+8hISGUL18+\nUxuJiYnEx8frlEdERBAeHk7RokWfe31HR0euX7+uHnt4eODm5oabm5s6C/6soKAg9PT01Jn95xkx\nYgQ+Pj4kJCTg5OSU6XxwcHCmcbzoXPHixXn48CHJyckA6Ovr07NnTxYuXPjCfgCYmppiZ2dHaGjo\nC+Nu3bpFkSJFMDIyemmbImuS1H+kpk6dKmvrP1Dp6elcvXyJNu2/ZumqDRgZGfH78iUkJyWxcukv\n9Ozz9GPgt5Frb9/qz5VLF+nYufs/10/j3Jm/GTDIkyW/rSUiPIyt/n7//4WE+MBMX30Y87zGHF7U\nkz4uVTgbEkm6NuOHSlGgZp9fKfXVT9SpVJQ6lTISr8WbTuHYaR41vl1C1P04pvZtAkCHJhUwzmVA\nsbazKddpPj+2r05RGzMexifz/ext/D6mDTtnd+Zm5INMs63tGpbDd9+l9zt48cqymtSoU6cOu3fv\npn379ly/fp02bdpw//79V2ovICCA1q1b88UXX+Du7o65ufkrX3vGjBn4+vri6+uLh4eHWr5s2TJa\ntmxJ+/btGTt27AuXsADY2tpSrVo1vv7661fq85to3bo1J0+e5M6dOy+NfdnE0ZPxyATT/0eS+o9U\nUlKSJPXvkKW1DVGRT1/IoqMisbS21omxsrYhOipSPY6JisLK2hpraxusbW1xKFcBgAaNm3Hl8kVu\nh4cReec2Xb9uQ7tWzYiOiqLnN+24f+8uz2NlZa17jegorKyerts9cewIvy37Be9Z8zAwNPynX7aU\nLlMW24J26OnpUbdBY65evvj/3RAh3rOI2McUsX46I17YKi8RsY91YuISU3CftoVafX6lt7c/VuYm\n3IjQTcweJ6QQeDSEKmUzHiKPfZignlsW8LdaXqN8YTYfvIKiZMQcuRCuntt2LIT63y2n0fcrCQ6/\nR3C47qxv20blZenNByosLAx9fX11zfuz8uXLh7OzMz4+PlSoUIGTJ09SsmRJLly4kKmNPHnyqEtc\nnJ2d2bx5M6tXr2bFihUkJCRkavuJS5cuqQ+bwvOT2u7du7Nlyxbmzp3L3LlzX2lsenp6z03+S5Uq\nlWkcLzp348YNzM3NdZZqGhgY0K1bN5YsWfLCNxmPHz8mMjISe3t7LCwsePjwoc75hw8fYmFhgb29\nPbdv3yYxMfGVxicyk6ReiDfgWK4Ct8NCibwTQWpqbup1RgAAG05JREFUCrt3BFKnfkOdmDr1GrJt\ny2YALpw/i2nevOQvYEn+ApbY2NgSeusmAKdOHKNYiZKUKFWazTv2s37zdtb778DaxoalqzZgkb+A\nTrsKT1/0C1haYWJqysUL51AUhW0Bm6nTIKMfVy9fYvrkcXjPnIvZMzNFjuUrEBf3mIcPHjy9fvGS\nCJGTnLxyh5KFLChqkw9DAz3aNizPlsNXdWLymeTGQD/j11x35085cPYW8UmpFMhnTL5/ltUY5TKg\ncdXinA3JWLZmY/F07bFLXQcu3owB4GpoLA0+Kw5AHiNDqpUrxJXQjDfcT9bpm5sa8W3rKiwLOKO2\nUaZIAcxNcnP8UsS7uA3iNT2bNN+7dw8vLy+++eabTHFHjx4l6Z9lkXFxcYSGhlKwYEFat27N6dOn\nOXIkY+ejpKQkJk2aRK9emXc/q1ChAo0aNWLlypVZXn/79u0cOnSIli1bZnk+Kw0bNsTOzg5/f/9X\nrpOVOnXqEB8fz59//qmWXb58mb///hsXFxeOHz/O8eMZD4snJiYyadIkevfunamdL7/8kv3792dK\n1J+Ii4vDy8uLFi1aYGJiQokSJYiIiODWrVtAxhuikJAQypYti4mJCa6urkyePJm0tIxnXu7du8f2\n7dtfe3z/VbL7jRBvQF9fn4GeIxnYvzeKVouzSxuKFS+J38Z1aDTg0qY9NevU48ih/Xzl0hwjY2NG\njJ2k1v/BYzjjRw0lLS0Nu0JFGDF2YuaLaDQ662/atWpGQnw8qWmpHPhrD7Pm/YJ98RIMGjaKyWNH\nkpKSTI3a9ahRK2Pt/PyfZpCUmMhoz0EoKNja2jFl5s/o6enR/0cPvnfPWI5T1rE8rdzavtsbJsRb\nptUqDPxpO/4+Hf/Z0vIMV0Lv0rNlZRQFlgb8jUPRAvwyrDVarcKlmzG4Tw8AwLaAKb8Ma40G0NPT\nsHrneXW9+6Q+jahU0gatAqGRD/huViAAS7b8zcIhzpxY0huNBlZsPaMm/NO/a0rFkjYoisLklQe4\n/synAW0blmP9Xvkk7EORkpKCm5ubuqWlq6sr3bp1yxQXFBTEhAkTMDAwQKvV0r59eypUyPh0df78\n+YwfP55x48apW1o+2bby33r16kX79u3p2rUrACtWrMDf35+EhATKlCnDihUrdJbneHh4YGRkhKIo\n5M+fn6VLl2Zqs1+/fnh6etKqVSsAxo4dy5QpU1AUhYIFC7JmzRrgxbvMPBnHxIkTWbBgAUZGRhQu\nXJgRI0ZgbGzMvHnzMm1p+dVXX2VqI1euXHTq1Alvb2+1TKPR0LFjR50tLfv27avGe3t74+HhQWpq\nKoaGhkyZMoU8eTLeGA8aNIiZM2fi5OSEkZERefLk4YcffnjhOMRTGkUWMH10niy7eXb5TUxcWvZ0\nRoj/qKKtvV8eJIR4qxL3jMzuLgiRbWT5jRBCCCGEEDmcJPVCCCGEEELkcJLUCyGEEEIIkcNJUi+E\nEEIIIUQOJ0m9EEIIIYQQOZxsafkRMjIy4syZM7qFsseREO/XS7aTE0IIId4mman/CA0bNgwHB4fs\n7oYQQgghhHhPJKkXQgghhBAih5OkXgghhBBCiBxOknohhBBCCCFyOEnqhRBCCCGEyOFk9xsh3tDR\nwwf4aYY3WkVLy9Zt+KZbr0wxs6dN5ujhAxgZGzNy7CRKl3Uk9NZNxg4fjEajQVEUIm6H06vvANp1\n+IZHjx4ydvgQIu9EUNDOjvFTZ2Jqmpcd27aweuUytc61kKss/WMDpUqX5fKlIKaMG0VySjI1a9fl\nh8HDAfh5pjenTx5Ho9GQmJjIgwf3CNxzBIDB3/ch6Pw5Pvn0M7xnzXuv902It6Xp5yWY1q8penqw\nIvAsM9Yc1TlvZpKbRR4tKW5nTlJyGn2mB3D5ViyFLPOyZFgrrC1M0GoVlm09w3zfkwBUKGHFzz+2\nII+RIbciH9J98ibik1Jp+FkxJvRqiKGBHqmp6Yz4ZS/7z9wCoG0DRzw61kJPoyHwaAhjfv0LgJ4t\nK9PHpQrp6VqSUtIYMDuQC9dj3us9ErocHR1xcHBAURQ0Gg3z5s3Dzs6OkydP4u3tTVxcHBqNhm7d\nutG+fXsA5s6dy7p16yhQoABpaWkMGDCAZs2aqW0uW7aMdevWYWhoiJ6eHjVr1mTIkCHo6+vTqFEj\nTE1N0dPTQ6PRULVqVUaOHMmwYcM4ceIE+fLlQ6PRMGLECKpWrcqsWbNIT09nyJAhANy+fZuuXbvi\n5+eHqakpW7duJSwsjD59+rBv3z5++uknkpOTyZUrF9WrV8fT0xOAtWvXsnz5cjQaDaampnh6elKl\nShUAGjVqxJ9//om5uTkAx48fZ+nSpSxcuJA///yTkSNHsmnTJsqUKQNAq1atWLRoET/++COpqak8\nePCApKQkbGxs0Gg0zJ07l86dO7/WOAE6d+5MTEwMRkZGaDQa+vbtS7NmzTL9Hzk5OdG7d286d+6M\np6cn48ePf2E/nozNwcGB7t27q/dk6dKlJCQk8N133wGwadMmfv31VxRFQV9fn4oVK+Lp6Ympqem7\n/jZ8ZySpF+INaLVaZvlMYs6CpVhaWdGry1fUbdAI+2Il1Jgjhw5wOzyMNb6BBF04x7Qp41m8fDVF\n7YuxbNVGtR03p0bUb9gEgN+XL6FqtRp06tqT35cv4bdlv9B3wCCaNW9Js+YtAbgeEswIj+8pVbos\nADOmTmDY6PE4lq/IkO/dOXbkINVr1mHAIE+1LxvX/kHw1SvqcacuPUhKSmLTxnXv/F4J8S5oNDBr\nQDOchqwi4m4cB+d3x/9QMFfD7qoxQzvV4kxIJB28NlK6cH5mf/8FzkNXk5auxXPBLs5di8bEyJDD\nC3uw6+QNrobdZcFgZzwX7OLwhXC++aIigzrUZMLy/cQ+SODLkeuIuh+Po70l/t4dKNVhLhZ5jZj0\nbSNq9PmV+4+TWOThTL1P7dl/5hZrdl3g1y1/A+BUsxTe7k1wHro6u26ZAIyNjfH19dUpi42NxcPD\ngwULFuDg4MCDBw/o0aMHNjY21K9fH4Du3bvTvXt3bt26Rfv27dWkfvXq1Rw+fJj169djampKWloa\ny5YtIykpCRMTEzQaDb/99htmZmY619RoNHh6etKsWTOOHTvGuHHj8Pf3p1+/fri6utKmTRtKlCjB\n5MmTGThwoJpo7t+/ny5duhAcHMzEiRP55ZdfKFasGIqisHbtWgD27t3LunXrWLNmDWZmZly8eJH+\n/fuzYcMGChQogOYF2+1qNBoKFizIwoULmTlzps65desyfl/4+voSFBTEqFGjdOq9zjifmDlzJuXK\nlXvp/9Gz7b2sH0/kypWLnTt30qdPH/UNzBP79+9n5cqV/Prrr1hZWaEoCr6+vsTGxubopF6W3wjx\nBi4GnadwUXtsC9phYGBI42YtOPDXHp2Yg/v20Ny5NQDlK1QiPi6Oe3djdWJOHj9CocJFsLax/afO\nXlq0dAGgRUuXTG0C7Ny+lcbNWgBwNzaGxIR4HMtXBKC5c+ss6+zavpUmXzipx59VrY6xcZ43Hb4Q\n2e5zBztCbt8nNPoRaelaNuy9SKvapXViHOwt2fd3xmx6cPg97G3NsDTLQ9T9eM5diwYgPimVK6Gx\n2FnmBaBU4fwcvhAOwN5TN3Gtm/Hm+fz1aKLuxwNw6VYsuXMZYKCvR/GC5gSH3+P+46SMOn/fxO2f\nOvFJqWpfTI1ycfdR4ru6HeIVKUrmP9ryxx9/0KZNG3UraHNzczw8PFi8eHGmWHt7ewwNDbl37x4A\nixYtYty4cWo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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "\n", "g = sns.clustermap(category_by_city_norm, annot=True, cmap=\"Blues\", fmt=\"g\")\n", "plt.setp(g.ax_heatmap.yaxis.get_majorticklabels(), rotation=0)\n", "g.fig.suptitle(\"Normalized distribution and clustering of crimes between San Francisco and Seattle\", size=15)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `clustermap` has rearranged the order of the categories to exhibit the different clusters. We can quite clearly here see 3 different clusters emerge:\n", "\n", "* A cluster where the proportion of occurrences is roughly the same between the 2 cities.\n", "* A cluster where the proportion of occurrences is significantly higher in Seattle.\n", "* A cluster where the proportion of occurrences is significantly higher in San Francisco.\n", "\n", "Let's look at our night categories again:\n", "\n", "* `ASSAULT`: 0.54 (SF) ~= 0.46 (Seattle)\n", "* `DRUNKENNESS`: not in Seattle, probably due to the way we manually labelled the Seattle categories, or could already be labbeled by SeattlePD under different categories.\n", "* `LARCENY/THEFT`: 0.43 (SF) ~= 0.57 (Seattle)\n", "* `PROSTITUTION`: 0.31 (SF) < 0.69 (Seattle)\n", "* `ROBBERY`: 0.28 (SF) < 0.72 (Seattle)\n", "* `VEHICLE THEFT`: 0.38 (SF) < 0.62 (Seattle)\n", "\n", "`ASSAULT` and `LARCENY/THEFT` are by far the most frequent crime categories (see previous map to convince yourself), so it makes sense that they are roughly similar between the 2 cities because it is statistically significant.\n", "For the other categories however they are far lower in San Francisco than in Seattle. There are multiple ways to explain that:\n", "\n", "* We got about 4,000 more crime entries in the initial datasets for Seattle than in San Francisco.\n", "* We manually re-labelled the crime categories in Seattle, and might have inflated some categories numbers." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this analysis we discovered the following facts:\n", "\n", "* Certain crime categories such as robberies, assault, theft, prostitution and drunkenness happen mostly in the evening/night in San Francisco.\n", "* These crimes happen mostly in the city center and southeast parts of San Francisco at night, but the west side is relatively safe at night.\n", "* Violent crimes such as assault happen as often at night in San Francisco as in Seattle (with a slight edge to San Francisco), but non-violent crimes happen more often in Seattle." ] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.10" } }, "nbformat": 4, "nbformat_minor": 0 }