20250305 12372500 1.0 FALSE Reno_Census_Block_Groups 002 0.000 file://\\wcgisdb\workspace\ManagersOffice\Sustainability\Sustainability\Sustainability.gdb Local Area Network Geographic GCS_North_American_1983 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><WKT>GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,4269]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>1111948722.2222221</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem> ExportFeatures pub.WASHOE.Census_BlockGroups_2020 "E:\ManagersOffice\Sustainability\TT\Final Metrics Layers\Working\Washoe_Census_BG_2020.shp" # NOT_USE_ALIAS "STATEFP "STATEFP" true true false 2 Text 0 0,First,#,pub.WASHOE.Census_BlockGroups_2020,STATEFP,0,1;COUNTYFP "COUNTYFP" true true false 3 Text 0 0,First,#,pub.WASHOE.Census_BlockGroups_2020,COUNTYFP,0,2;TRACTCE "TRACTCE" true true false 6 Text 0 0,First,#,pub.WASHOE.Census_BlockGroups_2020,TRACTCE,0,5;BLKGRPCE "BLKGRPCE" true true false 1 Text 0 0,First,#,pub.WASHOE.Census_BlockGroups_2020,BLKGRPCE,0,0;GEOID "GEOID" true true false 12 Text 0 0,First,#,pub.WASHOE.Census_BlockGroups_2020,GEOID,0,11;NAMELSAD "NAMELSAD" true true false 13 Text 0 0,First,#,pub.WASHOE.Census_BlockGroups_2020,NAMELSAD,0,12;MTFCC "MTFCC" true true false 5 Text 0 0,First,#,pub.WASHOE.Census_BlockGroups_2020,MTFCC,0,4;FUNCSTAT "FUNCSTAT" true true false 1 Text 0 0,First,#,pub.WASHOE.Census_BlockGroups_2020,FUNCSTAT,0,0;ALAND "ALAND" true true false 8 Double 0 14,First,#,pub.WASHOE.Census_BlockGroups_2020,ALAND,-1,-1;AWATER "AWATER" true true false 8 Double 0 14,First,#,pub.WASHOE.Census_BlockGroups_2020,AWATER,-1,-1;INTPTLAT "INTPTLAT" true true false 11 Text 0 0,First,#,pub.WASHOE.Census_BlockGroups_2020,INTPTLAT,0,10;INTPTLON "INTPTLON" true true false 12 Text 0 0,First,#,pub.WASHOE.Census_BlockGroups_2020,INTPTLON,0,11;GEOCODE "GEOCODE" true true false 8 Double 8 38,First,#,pub.WASHOE.Census_BlockGroups_2020,GEOCODE,-1,-1;SUMLEV "SUMLEV" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,SUMLEV,-1,-1;GEOCODE_1 "GEOCODE" true true false 8 Double 8 38,First,#,pub.WASHOE.Census_BlockGroups_2020,GEOCODE_1,-1,-1;GEOID_1 "GEOID" true true false 1073741822 Text 0 0,First,#,pub.WASHOE.Census_BlockGroups_2020,GEOID_1,0,1073741821;NAME "NAME" true true false 1073741822 Text 0 0,First,#,pub.WASHOE.Census_BlockGroups_2020,NAME,0,1073741821;BASENAME "BASENAME" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,BASENAME,-1,-1;FILEID "FILEID" true true false 1073741822 Text 0 0,First,#,pub.WASHOE.Census_BlockGroups_2020,FILEID,0,1073741821;STUSAB "STUSAB" true true false 1073741822 Text 0 0,First,#,pub.WASHOE.Census_BlockGroups_2020,STUSAB,0,1073741821;CHARITER "CHARITER" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,CHARITER,-1,-1;CIFSN "CIFSN" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,CIFSN,-1,-1;LOGRECNO "LOGRECNO" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,LOGRECNO,-1,-1;P0010001 "P0010001" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010001,-1,-1;P0010002 "P0010002" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010002,-1,-1;P0010003 "P0010003" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010003,-1,-1;P0010004 "P0010004" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010004,-1,-1;P0010005 "P0010005" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010005,-1,-1;P0010006 "P0010006" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010006,-1,-1;P0010007 "P0010007" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010007,-1,-1;P0010008 "P0010008" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010008,-1,-1;P0010009 "P0010009" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010009,-1,-1;P0010010 "P0010010" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010010,-1,-1;P0010011 "P0010011" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010011,-1,-1;P0010012 "P0010012" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010012,-1,-1;P0010013 "P0010013" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010013,-1,-1;P0010014 "P0010014" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010014,-1,-1;P0010015 "P0010015" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010015,-1,-1;P0010016 "P0010016" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010016,-1,-1;P0010017 "P0010017" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010017,-1,-1;P0010018 "P0010018" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010018,-1,-1;P0010019 "P0010019" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010019,-1,-1;P0010020 "P0010020" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010020,-1,-1;P0010021 "P0010021" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010021,-1,-1;P0010022 "P0010022" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010022,-1,-1;P0010023 "P0010023" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010023,-1,-1;P0010024 "P0010024" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010024,-1,-1;P0010025 "P0010025" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010025,-1,-1;P0010026 "P0010026" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010026,-1,-1;P0010027 "P0010027" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010027,-1,-1;P0010028 "P0010028" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010028,-1,-1;P0010029 "P0010029" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010029,-1,-1;P0010030 "P0010030" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010030,-1,-1;P0010031 "P0010031" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010031,-1,-1;P0010032 "P0010032" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010032,-1,-1;P0010033 "P0010033" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010033,-1,-1;P0010034 "P0010034" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010034,-1,-1;P0010035 "P0010035" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010035,-1,-1;P0010036 "P0010036" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010036,-1,-1;P0010037 "P0010037" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010037,-1,-1;P0010038 "P0010038" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010038,-1,-1;P0010039 "P0010039" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010039,-1,-1;P0010040 "P0010040" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010040,-1,-1;P0010041 "P0010041" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010041,-1,-1;P0010042 "P0010042" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010042,-1,-1;P0010043 "P0010043" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010043,-1,-1;P0010044 "P0010044" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010044,-1,-1;P0010045 "P0010045" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010045,-1,-1;P0010046 "P0010046" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010046,-1,-1;P0010047 "P0010047" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010047,-1,-1;P0010048 "P0010048" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010048,-1,-1;P0010049 "P0010049" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010049,-1,-1;P0010050 "P0010050" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010050,-1,-1;P0010051 "P0010051" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010051,-1,-1;P0010052 "P0010052" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010052,-1,-1;P0010053 "P0010053" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010053,-1,-1;P0010054 "P0010054" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010054,-1,-1;P0010055 "P0010055" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010055,-1,-1;P0010056 "P0010056" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010056,-1,-1;P0010057 "P0010057" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010057,-1,-1;P0010058 "P0010058" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010058,-1,-1;P0010059 "P0010059" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010059,-1,-1;P0010060 "P0010060" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010060,-1,-1;P0010061 "P0010061" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010061,-1,-1;P0010062 "P0010062" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010062,-1,-1;P0010063 "P0010063" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010063,-1,-1;P0010064 "P0010064" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010064,-1,-1;P0010065 "P0010065" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010065,-1,-1;P0010066 "P0010066" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010066,-1,-1;P0010067 "P0010067" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010067,-1,-1;P0010068 "P0010068" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010068,-1,-1;P0010069 "P0010069" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010069,-1,-1;P0010070 "P0010070" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010070,-1,-1;P0010071 "P0010071" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0010071,-1,-1;P0020001 "P0020001" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020001,-1,-1;P0020002 "P0020002" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020002,-1,-1;P0020003 "P0020003" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020003,-1,-1;P0020004 "P0020004" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020004,-1,-1;P0020005 "P0020005" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020005,-1,-1;P0020006 "P0020006" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020006,-1,-1;P0020007 "P0020007" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020007,-1,-1;P0020008 "P0020008" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020008,-1,-1;P0020009 "P0020009" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020009,-1,-1;P0020010 "P0020010" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020010,-1,-1;P0020011 "P0020011" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020011,-1,-1;P0020012 "P0020012" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020012,-1,-1;P0020013 "P0020013" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020013,-1,-1;P0020014 "P0020014" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020014,-1,-1;P0020015 "P0020015" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020015,-1,-1;P0020016 "P0020016" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020016,-1,-1;P0020017 "P0020017" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020017,-1,-1;P0020018 "P0020018" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020018,-1,-1;P0020019 "P0020019" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020019,-1,-1;P0020020 "P0020020" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020020,-1,-1;P0020021 "P0020021" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020021,-1,-1;P0020022 "P0020022" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020022,-1,-1;P0020023 "P0020023" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020023,-1,-1;P0020024 "P0020024" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020024,-1,-1;P0020025 "P0020025" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020025,-1,-1;P0020026 "P0020026" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020026,-1,-1;P0020027 "P0020027" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020027,-1,-1;P0020028 "P0020028" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020028,-1,-1;P0020029 "P0020029" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020029,-1,-1;P0020030 "P0020030" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020030,-1,-1;P0020031 "P0020031" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020031,-1,-1;P0020032 "P0020032" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020032,-1,-1;P0020033 "P0020033" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020033,-1,-1;P0020034 "P0020034" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020034,-1,-1;P0020035 "P0020035" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020035,-1,-1;P0020036 "P0020036" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020036,-1,-1;P0020037 "P0020037" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020037,-1,-1;P0020038 "P0020038" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020038,-1,-1;P0020039 "P0020039" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020039,-1,-1;P0020040 "P0020040" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020040,-1,-1;P0020041 "P0020041" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020041,-1,-1;P0020042 "P0020042" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020042,-1,-1;P0020043 "P0020043" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020043,-1,-1;P0020044 "P0020044" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020044,-1,-1;P0020045 "P0020045" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020045,-1,-1;P0020046 "P0020046" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020046,-1,-1;P0020047 "P0020047" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020047,-1,-1;P0020048 "P0020048" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020048,-1,-1;P0020049 "P0020049" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020049,-1,-1;P0020050 "P0020050" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020050,-1,-1;P0020051 "P0020051" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020051,-1,-1;P0020052 "P0020052" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020052,-1,-1;P0020053 "P0020053" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020053,-1,-1;P0020054 "P0020054" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020054,-1,-1;P0020055 "P0020055" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020055,-1,-1;P0020056 "P0020056" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020056,-1,-1;P0020057 "P0020057" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020057,-1,-1;P0020058 "P0020058" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020058,-1,-1;P0020059 "P0020059" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020059,-1,-1;P0020060 "P0020060" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020060,-1,-1;P0020061 "P0020061" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020061,-1,-1;P0020062 "P0020062" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020062,-1,-1;P0020063 "P0020063" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020063,-1,-1;P0020064 "P0020064" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020064,-1,-1;P0020065 "P0020065" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020065,-1,-1;P0020066 "P0020066" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020066,-1,-1;P0020067 "P0020067" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020067,-1,-1;P0020068 "P0020068" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020068,-1,-1;P0020069 "P0020069" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020069,-1,-1;P0020070 "P0020070" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020070,-1,-1;P0020071 "P0020071" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020071,-1,-1;P0020072 "P0020072" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020072,-1,-1;P0020073 "P0020073" true true false 4 Long 0 10,First,#,pub.WASHOE.Census_BlockGroups_2020,P0020073,-1,-1" # Clip Washoe_Census_BG_2020 Reno_NevadaUrbanBoundary "E:\ManagersOffice\Sustainability\TT\Final Metrics Layers\Working\RENO_CBC_CLIP.shp" # JoinField RENO_CBC_CLIP GEOID RENO_CBC_CLIP_Spa_PivotTable GEOID # "Use field mapping" "GEOID "GEOID" true true false 12 Text 0 0,First,#,RENO_CBC_CLIP_Spa_PivotTable,GEOID,0,11;gridcode1 "gridcode1" true true false 8 Double 0 0,First,#,RENO_CBC_CLIP_Spa_PivotTable,gridcode1,-1,-1;gridcode2 "gridcode2" true true false 8 Double 0 0,First,#,RENO_CBC_CLIP_Spa_PivotTable,gridcode2,-1,-1;gridcode3 "gridcode3" true true false 8 Double 0 0,First,#,RENO_CBC_CLIP_Spa_PivotTable,gridcode3,-1,-1;gridcode4 "gridcode4" true true false 8 Double 0 0,First,#,RENO_CBC_CLIP_Spa_PivotTable,gridcode4,-1,-1;gridcode5 "gridcode5" true true false 8 Double 0 0,First,#,RENO_CBC_CLIP_Spa_PivotTable,gridcode5,-1,-1" "Do not add indexes" CalculateField RENO_CBC_CLIP gridcode5 "!gridcode5! / 43560 " Python # Text NO_ENFORCE_DOMAINS CalculateField RENO_CBC_CLIP gridcode4 "!gridcode4! / 43560 " Python # Text NO_ENFORCE_DOMAINS CalculateField RENO_CBC_CLIP gridcode3 "!gridcode3! / 43560 " Python # Text NO_ENFORCE_DOMAINS CalculateField RENO_CBC_CLIP gridcode2 "!gridcode2! / 43560 " Python # Text NO_ENFORCE_DOMAINS DeleteField RENO_CBC_CLIP gridcode1 "Delete Fields" UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><WorkspaceConnectionString>DATABASE=E:\ManagersOffice\Sustainability\TT\Final Metrics Layers\Working</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>RENO_CBC_CLIP</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>CANOPY_P</field_name><field_type>DOUBLE</field_type><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> AddFields GPLYR_{31E01ED1-351D-495F-AD9C-AE33FCB75410} "Area_Calc DOUBLE # # # #" # CalculateGeometryAttributes RENO_CBC_CLIP "Area_Calc AREA" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_Nevada_West_FIPS_2703_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",2624666.666666666],PARAMETER["False_Northing",13123333.33333333],PARAMETER["Central_Meridian",-118.5833333333333],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",34.75],UNIT["Foot_US",0.3048006096012192]] "Same as input" CalculateField RENO_CBC_CLIP CANOPY_P "!gridcode5! / !Area_Calc! * 100 if !gridcode5! > 0 else 0 " Python # Text NO_ENFORCE_DOMAINS UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><WorkspaceConnectionString>DATABASE=E:\ManagersOffice\Sustainability\TT\Final Metrics Layers\Working</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>RENO_CBC_CLIP</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>IMPERV_p</field_name><field_type>DOUBLE</field_type><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>PERVIOUS_A</field_name><field_type>DOUBLE</field_type><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>UNDEV_D_P</field_name><field_type>DOUBLE</field_type><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>WATER_P</field_name><field_type>DOUBLE</field_type><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField RENO_CBC_CLIP IMPERV_p "!gridcode4! / !Area_Calc! * 100 if !gridcode4! > 0 else 0 " Python # Text NO_ENFORCE_DOMAINS CalculateField RENO_CBC_CLIP UNDEV_D_P "!gridcode2! / !Area_Calc! * 100 if !gridcode2! > 0 else 0 " Python # Text NO_ENFORCE_DOMAINS CalculateField RENO_CBC_CLIP WATER_P "!gridcode3! / !Area_Calc! * 100 if !gridcode3! > 0 else 0 " Python # Text NO_ENFORCE_DOMAINS CalculateField RENO_CBC_CLIP PERVIOUS_A "!Area_Calc! - !gridcode4! " Python # Text NO_ENFORCE_DOMAINS UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><WorkspaceConnectionString>DATABASE=E:\ManagersOffice\Sustainability\TT\Final Metrics Layers\Working</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>RENO_CBC_CLIP</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>PERVIOUS_P</field_name><field_type>DOUBLE</field_type><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField RENO_CBC_CLIP PERVIOUS_P "0 if !IMPERV_p! == 0 else 100 - !IMPERV_p! " Python # Text NO_ENFORCE_DOMAINS ExportFeatures RENO_CBC_CLIP "E:\ManagersOffice\Sustainability\TT\Final Metrics Layers\Reno_CensusBlock_Groups_2020.shp" # NOT_USE_ALIAS "STATEFP "STATEFP" true true false 2 Text 0 0,First,#,RENO_CBC_CLIP,STATEFP,0,1;COUNTYFP "COUNTYFP" true true false 3 Text 0 0,First,#,RENO_CBC_CLIP,COUNTYFP,0,2;TRACTCE "TRACTCE" true true false 6 Text 0 0,First,#,RENO_CBC_CLIP,TRACTCE,0,5;BLKGRPCE "BLKGRPCE" true true false 1 Text 0 0,First,#,RENO_CBC_CLIP,BLKGRPCE,0,0;GEOID "GEOID" true true false 12 Text 0 0,First,#,RENO_CBC_CLIP,GEOID,0,11;NAMELSAD "NAMELSAD" true true false 13 Text 0 0,First,#,RENO_CBC_CLIP,NAMELSAD,0,12;MTFCC "MTFCC" true true false 5 Text 0 0,First,#,RENO_CBC_CLIP,MTFCC,0,4;FUNCSTAT "FUNCSTAT" true true false 1 Text 0 0,First,#,RENO_CBC_CLIP,FUNCSTAT,0,0;ALAND "ALAND" true true false 14 Double 0 14,First,#,RENO_CBC_CLIP,ALAND,-1,-1;AWATER "AWATER" true true false 14 Double 0 14,First,#,RENO_CBC_CLIP,AWATER,-1,-1;INTPTLAT "INTPTLAT" true true false 11 Text 0 0,First,#,RENO_CBC_CLIP,INTPTLAT,0,10;INTPTLON "INTPTLON" true true false 12 Text 0 0,First,#,RENO_CBC_CLIP,INTPTLON,0,11;GEOCODE "GEOCODE" true true false 19 Double 8 18,First,#,RENO_CBC_CLIP,GEOCODE,-1,-1;SUMLEV "SUMLEV" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,SUMLEV,-1,-1;GEOCODE_1 "GEOCODE_1" true true false 19 Double 8 18,First,#,RENO_CBC_CLIP,GEOCODE_1,-1,-1;GEOID_1 "GEOID_1" true true false 254 Text 0 0,First,#,RENO_CBC_CLIP,GEOID_1,0,253;NAME "NAME" true true false 254 Text 0 0,First,#,RENO_CBC_CLIP,NAME,0,253;BASENAME "BASENAME" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,BASENAME,-1,-1;FILEID "FILEID" true true false 254 Text 0 0,First,#,RENO_CBC_CLIP,FILEID,0,253;STUSAB "STUSAB" true true false 254 Text 0 0,First,#,RENO_CBC_CLIP,STUSAB,0,253;CHARITER "CHARITER" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,CHARITER,-1,-1;CIFSN "CIFSN" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,CIFSN,-1,-1;LOGRECNO "LOGRECNO" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,LOGRECNO,-1,-1;P0010001 "P0010001" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010001,-1,-1;P0010002 "P0010002" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010002,-1,-1;P0010003 "P0010003" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010003,-1,-1;P0010004 "P0010004" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010004,-1,-1;P0010005 "P0010005" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010005,-1,-1;P0010006 "P0010006" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010006,-1,-1;P0010007 "P0010007" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010007,-1,-1;P0010008 "P0010008" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010008,-1,-1;P0010009 "P0010009" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010009,-1,-1;P0010010 "P0010010" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010010,-1,-1;P0010011 "P0010011" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010011,-1,-1;P0010012 "P0010012" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010012,-1,-1;P0010013 "P0010013" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010013,-1,-1;P0010014 "P0010014" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010014,-1,-1;P0010015 "P0010015" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010015,-1,-1;P0010016 "P0010016" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010016,-1,-1;P0010017 "P0010017" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010017,-1,-1;P0010018 "P0010018" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010018,-1,-1;P0010019 "P0010019" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010019,-1,-1;P0010020 "P0010020" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010020,-1,-1;P0010021 "P0010021" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010021,-1,-1;P0010022 "P0010022" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010022,-1,-1;P0010023 "P0010023" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010023,-1,-1;P0010024 "P0010024" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010024,-1,-1;P0010025 "P0010025" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010025,-1,-1;P0010026 "P0010026" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010026,-1,-1;P0010027 "P0010027" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010027,-1,-1;P0010028 "P0010028" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010028,-1,-1;P0010029 "P0010029" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010029,-1,-1;P0010030 "P0010030" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010030,-1,-1;P0010031 "P0010031" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010031,-1,-1;P0010032 "P0010032" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010032,-1,-1;P0010033 "P0010033" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010033,-1,-1;P0010034 "P0010034" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010034,-1,-1;P0010035 "P0010035" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010035,-1,-1;P0010036 "P0010036" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010036,-1,-1;P0010037 "P0010037" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010037,-1,-1;P0010038 "P0010038" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010038,-1,-1;P0010039 "P0010039" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010039,-1,-1;P0010040 "P0010040" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010040,-1,-1;P0010041 "P0010041" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010041,-1,-1;P0010042 "P0010042" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010042,-1,-1;P0010043 "P0010043" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010043,-1,-1;P0010044 "P0010044" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010044,-1,-1;P0010045 "P0010045" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010045,-1,-1;P0010046 "P0010046" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010046,-1,-1;P0010047 "P0010047" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010047,-1,-1;P0010048 "P0010048" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010048,-1,-1;P0010049 "P0010049" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010049,-1,-1;P0010050 "P0010050" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010050,-1,-1;P0010051 "P0010051" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010051,-1,-1;P0010052 "P0010052" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010052,-1,-1;P0010053 "P0010053" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010053,-1,-1;P0010054 "P0010054" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010054,-1,-1;P0010055 "P0010055" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010055,-1,-1;P0010056 "P0010056" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010056,-1,-1;P0010057 "P0010057" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010057,-1,-1;P0010058 "P0010058" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010058,-1,-1;P0010059 "P0010059" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010059,-1,-1;P0010060 "P0010060" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010060,-1,-1;P0010061 "P0010061" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010061,-1,-1;P0010062 "P0010062" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010062,-1,-1;P0010063 "P0010063" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010063,-1,-1;P0010064 "P0010064" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010064,-1,-1;P0010065 "P0010065" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010065,-1,-1;P0010066 "P0010066" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010066,-1,-1;P0010067 "P0010067" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010067,-1,-1;P0010068 "P0010068" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010068,-1,-1;P0010069 "P0010069" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010069,-1,-1;P0010070 "P0010070" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010070,-1,-1;P0010071 "P0010071" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0010071,-1,-1;P0020001 "P0020001" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020001,-1,-1;P0020002 "P0020002" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020002,-1,-1;P0020003 "P0020003" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020003,-1,-1;P0020004 "P0020004" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020004,-1,-1;P0020005 "P0020005" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020005,-1,-1;P0020006 "P0020006" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020006,-1,-1;P0020007 "P0020007" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020007,-1,-1;P0020008 "P0020008" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020008,-1,-1;P0020009 "P0020009" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020009,-1,-1;P0020010 "P0020010" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020010,-1,-1;P0020011 "P0020011" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020011,-1,-1;P0020012 "P0020012" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020012,-1,-1;P0020013 "P0020013" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020013,-1,-1;P0020014 "P0020014" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020014,-1,-1;P0020015 "P0020015" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020015,-1,-1;P0020016 "P0020016" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020016,-1,-1;P0020017 "P0020017" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020017,-1,-1;P0020018 "P0020018" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020018,-1,-1;P0020019 "P0020019" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020019,-1,-1;P0020020 "P0020020" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020020,-1,-1;P0020021 "P0020021" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020021,-1,-1;P0020022 "P0020022" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020022,-1,-1;P0020023 "P0020023" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020023,-1,-1;P0020024 "P0020024" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020024,-1,-1;P0020025 "P0020025" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020025,-1,-1;P0020026 "P0020026" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020026,-1,-1;P0020027 "P0020027" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020027,-1,-1;P0020028 "P0020028" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020028,-1,-1;P0020029 "P0020029" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020029,-1,-1;P0020030 "P0020030" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020030,-1,-1;P0020031 "P0020031" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020031,-1,-1;P0020032 "P0020032" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020032,-1,-1;P0020033 "P0020033" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020033,-1,-1;P0020034 "P0020034" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020034,-1,-1;P0020035 "P0020035" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020035,-1,-1;P0020036 "P0020036" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020036,-1,-1;P0020037 "P0020037" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020037,-1,-1;P0020038 "P0020038" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020038,-1,-1;P0020039 "P0020039" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020039,-1,-1;P0020040 "P0020040" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020040,-1,-1;P0020041 "P0020041" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020041,-1,-1;P0020042 "P0020042" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020042,-1,-1;P0020043 "P0020043" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020043,-1,-1;P0020044 "P0020044" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020044,-1,-1;P0020045 "P0020045" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020045,-1,-1;P0020046 "P0020046" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020046,-1,-1;P0020047 "P0020047" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020047,-1,-1;P0020048 "P0020048" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020048,-1,-1;P0020049 "P0020049" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020049,-1,-1;P0020050 "P0020050" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020050,-1,-1;P0020051 "P0020051" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020051,-1,-1;P0020052 "P0020052" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020052,-1,-1;P0020053 "P0020053" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020053,-1,-1;P0020054 "P0020054" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020054,-1,-1;P0020055 "P0020055" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020055,-1,-1;P0020056 "P0020056" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020056,-1,-1;P0020057 "P0020057" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020057,-1,-1;P0020058 "P0020058" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020058,-1,-1;P0020059 "P0020059" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020059,-1,-1;P0020060 "P0020060" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020060,-1,-1;P0020061 "P0020061" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020061,-1,-1;P0020062 "P0020062" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020062,-1,-1;P0020063 "P0020063" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020063,-1,-1;P0020064 "P0020064" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020064,-1,-1;P0020065 "P0020065" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020065,-1,-1;P0020066 "P0020066" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020066,-1,-1;P0020067 "P0020067" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020067,-1,-1;P0020068 "P0020068" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020068,-1,-1;P0020069 "P0020069" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020069,-1,-1;P0020070 "P0020070" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020070,-1,-1;P0020071 "P0020071" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020071,-1,-1;P0020072 "P0020072" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020072,-1,-1;P0020073 "P0020073" true true false 10 Long 0 10,First,#,RENO_CBC_CLIP,P0020073,-1,-1;GEOID_12 "GEOID_12" true true false 12 Text 0 0,First,#,RENO_CBC_CLIP,GEOID_12,0,11;gridcode5 "CANOPY_ACRES" true true false 19 Double 0 0,First,#,RENO_CBC_CLIP,gridcode5,-1,-1;CANOPY_P "CANOPY_PERCENT" true true false 19 Double 0 0,First,#,RENO_CBC_CLIP,CANOPY_P,-1,-1;gridcode4 "IMPERVIOUS_ACRES" true true false 19 Double 0 0,First,#,RENO_CBC_CLIP,gridcode4,-1,-1;IMPERV_p "IMPERV_PERCENT" true true false 19 Double 0 0,First,#,RENO_CBC_CLIP,IMPERV_p,-1,-1;PERVIOUS_A "PERVIOUS_ACRES" true true false 19 Double 0 0,First,#,RENO_CBC_CLIP,PERVIOUS_A,-1,-1;PERVIOUS_P "PERVIOUS_PERCENT" true true false 19 Double 0 0,First,#,RENO_CBC_CLIP,PERVIOUS_P,-1,-1;gridcode2 "UNDEVELOPED_DESERT_ACRES" true true false 19 Double 0 0,First,#,RENO_CBC_CLIP,gridcode2,-1,-1;UNDEV_D_P "UNDEVLOPED_DESERT_PERCENT" true true false 19 Double 0 0,First,#,RENO_CBC_CLIP,UNDEV_D_P,-1,-1;gridcode3 "WATER_ACRES" true true false 19 Double 0 0,First,#,RENO_CBC_CLIP,gridcode3,-1,-1;WATER_P "WATER_PERCENT" true true false 19 Double 0 0,First,#,RENO_CBC_CLIP,WATER_P,-1,-1;Area_Calc "Area_Calc" true true false 19 Double 0 0,First,#,RENO_CBC_CLIP,Area_Calc,-1,-1" # DeleteField Reno_CensusBlock_Groups_2020 GEOID_12 "Delete Fields" JoinField Reno_CensusBlock_Groups_2020 GEOID ZonalSt_Reno_Ce1 GEOID # "Use field mapping" "GEOID "GEOID" true true false 12 Text 0 0,First,#,ZonalSt_Reno_Ce1,GEOID,0,11;ZONE_CODE "ZONE_CODE" true true false 4 Long 0 0,First,#,ZonalSt_Reno_Ce1,ZONE_CODE,-1,-1;COUNT "COUNT" true true false 8 Double 0 0,First,#,ZonalSt_Reno_Ce1,COUNT,-1,-1;AREA "AREA" true true false 8 Double 0 0,First,#,ZonalSt_Reno_Ce1,AREA,-1,-1;MEAN "MEAN" true true false 8 Double 0 0,First,#,ZonalSt_Reno_Ce1,MEAN,-1,-1" "Do not add indexes" DeleteField Reno_CensusBlock_Groups_2020 GEOID_12 "Delete Fields" ExportFeatures Reno_CensusBlock_Groups_2020 E:\ManagersOffice\Sustainability\Sustainability\Sustainability.gdb\Reno_Census_Block_Groups # NOT_USE_ALIAS "STATEFP "STATEFP" true true false 2 Text 0 0,First,#,Reno_CensusBlock_Groups_2020,STATEFP,0,1;COUNTYFP "COUNTYFP" true true false 3 Text 0 0,First,#,Reno_CensusBlock_Groups_2020,COUNTYFP,0,2;TRACTCE "TRACTCE" true true false 6 Text 0 0,First,#,Reno_CensusBlock_Groups_2020,TRACTCE,0,5;BLKGRPCE "BLKGRPCE" true true false 1 Text 0 0,First,#,Reno_CensusBlock_Groups_2020,BLKGRPCE,0,0;GEOID "GEOID" true true false 12 Text 0 0,First,#,Reno_CensusBlock_Groups_2020,GEOID,0,11;NAMELSAD "NAMELSAD" true true false 13 Text 0 0,First,#,Reno_CensusBlock_Groups_2020,NAMELSAD,0,12;MTFCC "MTFCC" true true false 5 Text 0 0,First,#,Reno_CensusBlock_Groups_2020,MTFCC,0,4;FUNCSTAT "FUNCSTAT" true true false 1 Text 0 0,First,#,Reno_CensusBlock_Groups_2020,FUNCSTAT,0,0;ALAND "ALAND" true true false 14 Double 0 14,First,#,Reno_CensusBlock_Groups_2020,ALAND,-1,-1;AWATER "AWATER" true true false 14 Double 0 14,First,#,Reno_CensusBlock_Groups_2020,AWATER,-1,-1;INTPTLAT "INTPTLAT" true true false 11 Text 0 0,First,#,Reno_CensusBlock_Groups_2020,INTPTLAT,0,10;INTPTLON "INTPTLON" true true false 12 Text 0 0,First,#,Reno_CensusBlock_Groups_2020,INTPTLON,0,11;GEOCODE "GEOCODE" true true false 19 Double 8 18,First,#,Reno_CensusBlock_Groups_2020,GEOCODE,-1,-1;SUMLEV "SUMLEV" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,SUMLEV,-1,-1;GEOCODE_1 "GEOCODE_1" true true false 19 Double 8 18,First,#,Reno_CensusBlock_Groups_2020,GEOCODE_1,-1,-1;GEOID_1 "GEOID_1" true true false 254 Text 0 0,First,#,Reno_CensusBlock_Groups_2020,GEOID_1,0,253;NAME "NAME" true true false 254 Text 0 0,First,#,Reno_CensusBlock_Groups_2020,NAME,0,253;BASENAME "BASENAME" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,BASENAME,-1,-1;FILEID "FILEID" true true false 254 Text 0 0,First,#,Reno_CensusBlock_Groups_2020,FILEID,0,253;STUSAB "STUSAB" true true false 254 Text 0 0,First,#,Reno_CensusBlock_Groups_2020,STUSAB,0,253;CHARITER "CHARITER" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,CHARITER,-1,-1;CIFSN "CIFSN" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,CIFSN,-1,-1;LOGRECNO "LOGRECNO" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,LOGRECNO,-1,-1;P0010001 "P0010001" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010001,-1,-1;P0010002 "P0010002" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010002,-1,-1;P0010003 "P0010003" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010003,-1,-1;P0010004 "P0010004" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010004,-1,-1;P0010005 "P0010005" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010005,-1,-1;P0010006 "P0010006" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010006,-1,-1;P0010007 "P0010007" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010007,-1,-1;P0010008 "P0010008" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010008,-1,-1;P0010009 "P0010009" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010009,-1,-1;P0010010 "P0010010" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010010,-1,-1;P0010011 "P0010011" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010011,-1,-1;P0010012 "P0010012" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010012,-1,-1;P0010013 "P0010013" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010013,-1,-1;P0010014 "P0010014" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010014,-1,-1;P0010015 "P0010015" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010015,-1,-1;P0010016 "P0010016" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010016,-1,-1;P0010017 "P0010017" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010017,-1,-1;P0010018 "P0010018" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010018,-1,-1;P0010019 "P0010019" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010019,-1,-1;P0010020 "P0010020" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010020,-1,-1;P0010021 "P0010021" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010021,-1,-1;P0010022 "P0010022" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010022,-1,-1;P0010023 "P0010023" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010023,-1,-1;P0010024 "P0010024" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010024,-1,-1;P0010025 "P0010025" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010025,-1,-1;P0010026 "P0010026" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010026,-1,-1;P0010027 "P0010027" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010027,-1,-1;P0010028 "P0010028" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010028,-1,-1;P0010029 "P0010029" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010029,-1,-1;P0010030 "P0010030" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010030,-1,-1;P0010031 "P0010031" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010031,-1,-1;P0010032 "P0010032" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010032,-1,-1;P0010033 "P0010033" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010033,-1,-1;P0010034 "P0010034" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010034,-1,-1;P0010035 "P0010035" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010035,-1,-1;P0010036 "P0010036" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010036,-1,-1;P0010037 "P0010037" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010037,-1,-1;P0010038 "P0010038" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010038,-1,-1;P0010039 "P0010039" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010039,-1,-1;P0010040 "P0010040" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010040,-1,-1;P0010041 "P0010041" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010041,-1,-1;P0010042 "P0010042" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010042,-1,-1;P0010043 "P0010043" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010043,-1,-1;P0010044 "P0010044" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010044,-1,-1;P0010045 "P0010045" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010045,-1,-1;P0010046 "P0010046" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010046,-1,-1;P0010047 "P0010047" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010047,-1,-1;P0010048 "P0010048" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010048,-1,-1;P0010049 "P0010049" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010049,-1,-1;P0010050 "P0010050" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010050,-1,-1;P0010051 "P0010051" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010051,-1,-1;P0010052 "P0010052" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010052,-1,-1;P0010053 "P0010053" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010053,-1,-1;P0010054 "P0010054" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010054,-1,-1;P0010055 "P0010055" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010055,-1,-1;P0010056 "P0010056" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010056,-1,-1;P0010057 "P0010057" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010057,-1,-1;P0010058 "P0010058" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010058,-1,-1;P0010059 "P0010059" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010059,-1,-1;P0010060 "P0010060" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010060,-1,-1;P0010061 "P0010061" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010061,-1,-1;P0010062 "P0010062" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010062,-1,-1;P0010063 "P0010063" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010063,-1,-1;P0010064 "P0010064" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010064,-1,-1;P0010065 "P0010065" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010065,-1,-1;P0010066 "P0010066" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010066,-1,-1;P0010067 "P0010067" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010067,-1,-1;P0010068 "P0010068" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010068,-1,-1;P0010069 "P0010069" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010069,-1,-1;P0010070 "P0010070" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010070,-1,-1;P0010071 "P0010071" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0010071,-1,-1;P0020001 "P0020001" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020001,-1,-1;P0020002 "P0020002" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020002,-1,-1;P0020003 "P0020003" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020003,-1,-1;P0020004 "P0020004" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020004,-1,-1;P0020005 "P0020005" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020005,-1,-1;P0020006 "P0020006" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020006,-1,-1;P0020007 "P0020007" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020007,-1,-1;P0020008 "P0020008" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020008,-1,-1;P0020009 "P0020009" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020009,-1,-1;P0020010 "P0020010" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020010,-1,-1;P0020011 "P0020011" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020011,-1,-1;P0020012 "P0020012" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020012,-1,-1;P0020013 "P0020013" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020013,-1,-1;P0020014 "P0020014" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020014,-1,-1;P0020015 "P0020015" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020015,-1,-1;P0020016 "P0020016" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020016,-1,-1;P0020017 "P0020017" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020017,-1,-1;P0020018 "P0020018" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020018,-1,-1;P0020019 "P0020019" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020019,-1,-1;P0020020 "P0020020" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020020,-1,-1;P0020021 "P0020021" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020021,-1,-1;P0020022 "P0020022" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020022,-1,-1;P0020023 "P0020023" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020023,-1,-1;P0020024 "P0020024" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020024,-1,-1;P0020025 "P0020025" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020025,-1,-1;P0020026 "P0020026" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020026,-1,-1;P0020027 "P0020027" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020027,-1,-1;P0020028 "P0020028" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020028,-1,-1;P0020029 "P0020029" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020029,-1,-1;P0020030 "P0020030" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020030,-1,-1;P0020031 "P0020031" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020031,-1,-1;P0020032 "P0020032" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020032,-1,-1;P0020033 "P0020033" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020033,-1,-1;P0020034 "P0020034" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020034,-1,-1;P0020035 "P0020035" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020035,-1,-1;P0020036 "P0020036" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020036,-1,-1;P0020037 "P0020037" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020037,-1,-1;P0020038 "P0020038" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020038,-1,-1;P0020039 "P0020039" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020039,-1,-1;P0020040 "P0020040" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020040,-1,-1;P0020041 "P0020041" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020041,-1,-1;P0020042 "P0020042" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020042,-1,-1;P0020043 "P0020043" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020043,-1,-1;P0020044 "P0020044" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020044,-1,-1;P0020045 "P0020045" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020045,-1,-1;P0020046 "P0020046" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020046,-1,-1;P0020047 "P0020047" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020047,-1,-1;P0020048 "P0020048" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020048,-1,-1;P0020049 "P0020049" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020049,-1,-1;P0020050 "P0020050" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020050,-1,-1;P0020051 "P0020051" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020051,-1,-1;P0020052 "P0020052" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020052,-1,-1;P0020053 "P0020053" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020053,-1,-1;P0020054 "P0020054" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020054,-1,-1;P0020055 "P0020055" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020055,-1,-1;P0020056 "P0020056" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020056,-1,-1;P0020057 "P0020057" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020057,-1,-1;P0020058 "P0020058" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020058,-1,-1;P0020059 "P0020059" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020059,-1,-1;P0020060 "P0020060" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020060,-1,-1;P0020061 "P0020061" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020061,-1,-1;P0020062 "P0020062" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020062,-1,-1;P0020063 "P0020063" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020063,-1,-1;P0020064 "P0020064" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020064,-1,-1;P0020065 "P0020065" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020065,-1,-1;P0020066 "P0020066" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020066,-1,-1;P0020067 "P0020067" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020067,-1,-1;P0020068 "P0020068" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020068,-1,-1;P0020069 "P0020069" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020069,-1,-1;P0020070 "P0020070" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020070,-1,-1;P0020071 "P0020071" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020071,-1,-1;P0020072 "P0020072" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020072,-1,-1;P0020073 "P0020073" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,P0020073,-1,-1;gridcode5 "CANOPY ACRES" true true false 19 Double 0 0,First,#,Reno_CensusBlock_Groups_2020,gridcode5,-1,-1;CANOPY_P "CANOPY PERCENT" true true false 19 Double 0 0,First,#,Reno_CensusBlock_Groups_2020,CANOPY_P,-1,-1;gridcode4 "IMPERVIOUS ACRES" true true false 19 Double 0 0,First,#,Reno_CensusBlock_Groups_2020,gridcode4,-1,-1;IMPERV_p "IMPERVIOUS PERCENT" true true false 19 Double 0 0,First,#,Reno_CensusBlock_Groups_2020,IMPERV_p,-1,-1;PERVIOUS_A "PERVIOUS ACRES" true true false 19 Double 0 0,First,#,Reno_CensusBlock_Groups_2020,PERVIOUS_A,-1,-1;PERVIOUS_P "PERVIOUS PERCENT" true true false 19 Double 0 0,First,#,Reno_CensusBlock_Groups_2020,PERVIOUS_P,-1,-1;gridcode2 "UNDEVELOPED DESERT ACRES" true true false 19 Double 0 0,First,#,Reno_CensusBlock_Groups_2020,gridcode2,-1,-1;UNDEV_D_P "UNDEVLOPED DESERT PERCENT" true true false 19 Double 0 0,First,#,Reno_CensusBlock_Groups_2020,UNDEV_D_P,-1,-1;gridcode3 "WATER ACRES" true true false 19 Double 0 0,First,#,Reno_CensusBlock_Groups_2020,gridcode3,-1,-1;WATER_P "WATER PERCENT" true true false 19 Double 0 0,First,#,Reno_CensusBlock_Groups_2020,WATER_P,-1,-1;Area_Calc "Area" true true false 19 Double 0 0,First,#,Reno_CensusBlock_Groups_2020,Area_Calc,-1,-1;ZONE_CODE "ZONE_CODE" true true false 10 Long 0 10,First,#,Reno_CensusBlock_Groups_2020,ZONE_CODE,-1,-1;COUNT "COUNT" true true false 19 Double 0 0,First,#,Reno_CensusBlock_Groups_2020,COUNT,-1,-1;AREA "AREA" true true false 19 Double 0 0,First,#,Reno_CensusBlock_Groups_2020,AREA,-1,-1;MEAN "MEAN TEMPERATURE" true true false 19 Double 0 0,First,#,Reno_CensusBlock_Groups_2020,MEAN,-1,-1" # 20250314 12100900 20250314 12100900 Microsoft Windows 10 Version 10.0 (Build 26100) ; Esri ArcGIS 13.2.2.49743 Reno_Census_Block_Groups <div style='text-align:Left;'><div><div><p><span style='font-size:10pt'>With the size of the study area measured at approximately 111.78 </span><span /><span style='font-size:10pt'>square miles, a cost-effective and accurate strategy for assessing the urban forest is the use of remotely sensed and semi-automated classification methods to inventory the current canopy cover and to analyze data for future planting goals.</span></p></div></div></div> Reno Nevada Washoe County Urban tree canopy (UTC) Tree Canopy Pervious surface Open water Impervious surface Undeveloped/Desert Land cover Block Group The purpose of this project was to conduct a top down canopy assessment approach. Utilizing the most current 2022 National Agricultural Imagery Program (NAIP) 60cm imagery and advance remote sensing technology, land cover features were identified by using an object-based image analysis (OBIA) methodology to process and analyze high resolution imagery. This technique allows a more accurate and cost-effective automated feature extraction of land cover classes. The final GIS land cover layer allows Reno, Nevada to conduct additional spatial analyses necessary to identify and map the existing land cover layer for future. <div style='text-align:Left;'><div><div><p><span style='font-size:10pt'>As determined by Reno, Nevada.</span></p></div></div></div> File Geodatabase Feature Class 0.000 dataset EPSG 6.5(3.0.1) 0 Simple FALSE 0 TRUE FALSE Reno_Census_Block_Groups Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. STATEFP STATEFP String 2 0 0 COUNTYFP COUNTYFP String 3 0 0 TRACTCE TRACTCE String 6 0 0 BLKGRPCE BLKGRPCE String 1 0 0 GEOID GEOID String 12 0 0 NAMELSAD NAMELSAD String 13 0 0 MTFCC MTFCC String 5 0 0 FUNCSTAT FUNCSTAT String 1 0 0 ALAND ALAND Double 8 0 0 AWATER AWATER Double 8 0 0 INTPTLAT INTPTLAT String 11 0 0 INTPTLON INTPTLON String 12 0 0 GEOCODE GEOCODE Double 8 0 0 SUMLEV SUMLEV Integer 4 0 0 GEOCODE_1 GEOCODE_1 Double 8 0 0 GEOID_1 GEOID_1 String 254 0 0 NAME NAME String 254 0 0 BASENAME BASENAME Integer 4 0 0 FILEID FILEID String 254 0 0 STUSAB STUSAB String 254 0 0 CHARITER CHARITER Integer 4 0 0 CIFSN CIFSN Integer 4 0 0 LOGRECNO LOGRECNO Integer 4 0 0 P0010001 P0010001 Integer 4 0 0 P0010002 P0010002 Integer 4 0 0 P0010003 P0010003 Integer 4 0 0 P0010004 P0010004 Integer 4 0 0 P0010005 P0010005 Integer 4 0 0 P0010006 P0010006 Integer 4 0 0 P0010007 P0010007 Integer 4 0 0 P0010008 P0010008 Integer 4 0 0 P0010009 P0010009 Integer 4 0 0 P0010010 P0010010 Integer 4 0 0 P0010011 P0010011 Integer 4 0 0 P0010012 P0010012 Integer 4 0 0 P0010013 P0010013 Integer 4 0 0 P0010014 P0010014 Integer 4 0 0 P0010015 P0010015 Integer 4 0 0 P0010016 P0010016 Integer 4 0 0 P0010017 P0010017 Integer 4 0 0 P0010018 P0010018 Integer 4 0 0 P0010019 P0010019 Integer 4 0 0 P0010020 P0010020 Integer 4 0 0 P0010021 P0010021 Integer 4 0 0 P0010022 P0010022 Integer 4 0 0 P0010023 P0010023 Integer 4 0 0 P0010024 P0010024 Integer 4 0 0 P0010025 P0010025 Integer 4 0 0 P0010026 P0010026 Integer 4 0 0 P0010027 P0010027 Integer 4 0 0 P0010028 P0010028 Integer 4 0 0 P0010029 P0010029 Integer 4 0 0 P0010030 P0010030 Integer 4 0 0 P0010031 P0010031 Integer 4 0 0 P0010032 P0010032 Integer 4 0 0 P0010033 P0010033 Integer 4 0 0 P0010034 P0010034 Integer 4 0 0 P0010035 P0010035 Integer 4 0 0 P0010036 P0010036 Integer 4 0 0 P0010037 P0010037 Integer 4 0 0 P0010038 P0010038 Integer 4 0 0 P0010039 P0010039 Integer 4 0 0 P0010040 P0010040 Integer 4 0 0 P0010041 P0010041 Integer 4 0 0 P0010042 P0010042 Integer 4 0 0 P0010043 P0010043 Integer 4 0 0 P0010044 P0010044 Integer 4 0 0 P0010045 P0010045 Integer 4 0 0 P0010046 P0010046 Integer 4 0 0 P0010047 P0010047 Integer 4 0 0 P0010048 P0010048 Integer 4 0 0 P0010049 P0010049 Integer 4 0 0 P0010050 P0010050 Integer 4 0 0 P0010051 P0010051 Integer 4 0 0 P0010052 P0010052 Integer 4 0 0 P0010053 P0010053 Integer 4 0 0 P0010054 P0010054 Integer 4 0 0 P0010055 P0010055 Integer 4 0 0 P0010056 P0010056 Integer 4 0 0 P0010057 P0010057 Integer 4 0 0 P0010058 P0010058 Integer 4 0 0 P0010059 P0010059 Integer 4 0 0 P0010060 P0010060 Integer 4 0 0 P0010061 P0010061 Integer 4 0 0 P0010062 P0010062 Integer 4 0 0 P0010063 P0010063 Integer 4 0 0 P0010064 P0010064 Integer 4 0 0 P0010065 P0010065 Integer 4 0 0 P0010066 P0010066 Integer 4 0 0 P0010067 P0010067 Integer 4 0 0 P0010068 P0010068 Integer 4 0 0 P0010069 P0010069 Integer 4 0 0 P0010070 P0010070 Integer 4 0 0 P0010071 P0010071 Integer 4 0 0 P0020001 P0020001 Integer 4 0 0 P0020002 P0020002 Integer 4 0 0 P0020003 P0020003 Integer 4 0 0 P0020004 P0020004 Integer 4 0 0 P0020005 P0020005 Integer 4 0 0 P0020006 P0020006 Integer 4 0 0 P0020007 P0020007 Integer 4 0 0 P0020008 P0020008 Integer 4 0 0 P0020009 P0020009 Integer 4 0 0 P0020010 P0020010 Integer 4 0 0 P0020011 P0020011 Integer 4 0 0 P0020012 P0020012 Integer 4 0 0 P0020013 P0020013 Integer 4 0 0 P0020014 P0020014 Integer 4 0 0 P0020015 P0020015 Integer 4 0 0 P0020016 P0020016 Integer 4 0 0 P0020017 P0020017 Integer 4 0 0 P0020018 P0020018 Integer 4 0 0 P0020019 P0020019 Integer 4 0 0 P0020020 P0020020 Integer 4 0 0 P0020021 P0020021 Integer 4 0 0 P0020022 P0020022 Integer 4 0 0 P0020023 P0020023 Integer 4 0 0 P0020024 P0020024 Integer 4 0 0 P0020025 P0020025 Integer 4 0 0 P0020026 P0020026 Integer 4 0 0 P0020027 P0020027 Integer 4 0 0 P0020028 P0020028 Integer 4 0 0 P0020029 P0020029 Integer 4 0 0 P0020030 P0020030 Integer 4 0 0 P0020031 P0020031 Integer 4 0 0 P0020032 P0020032 Integer 4 0 0 P0020033 P0020033 Integer 4 0 0 P0020034 P0020034 Integer 4 0 0 P0020035 P0020035 Integer 4 0 0 P0020036 P0020036 Integer 4 0 0 P0020037 P0020037 Integer 4 0 0 P0020038 P0020038 Integer 4 0 0 P0020039 P0020039 Integer 4 0 0 P0020040 P0020040 Integer 4 0 0 P0020041 P0020041 Integer 4 0 0 P0020042 P0020042 Integer 4 0 0 P0020043 P0020043 Integer 4 0 0 P0020044 P0020044 Integer 4 0 0 P0020045 P0020045 Integer 4 0 0 P0020046 P0020046 Integer 4 0 0 P0020047 P0020047 Integer 4 0 0 P0020048 P0020048 Integer 4 0 0 P0020049 P0020049 Integer 4 0 0 P0020050 P0020050 Integer 4 0 0 P0020051 P0020051 Integer 4 0 0 P0020052 P0020052 Integer 4 0 0 P0020053 P0020053 Integer 4 0 0 P0020054 P0020054 Integer 4 0 0 P0020055 P0020055 Integer 4 0 0 P0020056 P0020056 Integer 4 0 0 P0020057 P0020057 Integer 4 0 0 P0020058 P0020058 Integer 4 0 0 P0020059 P0020059 Integer 4 0 0 P0020060 P0020060 Integer 4 0 0 P0020061 P0020061 Integer 4 0 0 P0020062 P0020062 Integer 4 0 0 P0020063 P0020063 Integer 4 0 0 P0020064 P0020064 Integer 4 0 0 P0020065 P0020065 Integer 4 0 0 P0020066 P0020066 Integer 4 0 0 P0020067 P0020067 Integer 4 0 0 P0020068 P0020068 Integer 4 0 0 P0020069 P0020069 Integer 4 0 0 P0020070 P0020070 Integer 4 0 0 P0020071 P0020071 Integer 4 0 0 P0020072 P0020072 Integer 4 0 0 P0020073 P0020073 Integer 4 0 0 gridcode5 CANOPY ACRES Double 8 0 0 CANOPY_P CANOPY PERCENT Double 8 0 0 gridcode4 IMPERVIOUS ACRES Double 8 0 0 IMPERV_p IMPERVIOUS PERCENT Double 8 0 0 PERVIOUS_A PERVIOUS ACRES Double 8 0 0 PERVIOUS_P PERVIOUS PERCENT Double 8 0 0 gridcode2 UNDEVELOPED DESERT ACRES Double 8 0 0 UNDEV_D_P UNDEVLOPED DESERT PERCENT Double 8 0 0 gridcode3 WATER ACRES Double 8 0 0 WATER_P WATER PERCENT Double 8 0 0 Area_Calc Area Double 8 0 0 ZONE_CODE ZONE_CODE Integer 4 0 0 COUNT COUNT Double 8 0 0 AREA AREA Double 8 0 0 MEAN MEAN TEMPERATURE Double 8 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20250314 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzsvcmSHFeWJXjeoIPNZj7AHQNBgkFGBCMjsyIlKxcV2SJdKb3I VUvVplf9df0JVZJSvehtV226q3OKygjOJGb4YG6zju+9lnNVDTCAAAmQIEGQuEKI083M1cxU9d13 h3POtVmWBfzELIQA5xysta/wQ9SAOwHqE1RuhosoRRQcRtUCOnhAa5z0riIpM0z+ZQp7UoMPKw2E JIV775fw19/GT8G89yiKAmmaynWhGWOglPpOx+SxeK15HH1xgeSf/xG6KOR53tSzEFCHgLFRMGOF cEOh7it5TPMFAShMilU8QhIK9HwGG70PpRKE4OF8BoUAE11C0KOXdj7e2Lc3e14rdHVAR+MnY7yB eSO/UgsVdHUbwZ1Bc9Hka1gF0IWqANRKw2mDTr2B7jiAjspDFpOJDfwgxU/FtpsHrwkdFZ3N1tF8 W9Naw2zWMH/8V6jp9OEmVbXXfXv1ee4RFHIEeAWoiuc5QFuFMuniI/Vb1MbiyH2BWf8QV8JlRCGW vzXtUQK+/ed8Yy/X7P/7XzTiSOPtv/A4uuzRk63n9TcujKqqEEXRK3l/7tBZWcJ5h6RSSO8Bih/l WIlzKnWKSsfYJD10Bxv+QbM8rIK/FEMNOg8X3ets242DDob/z590VHRa/P/vdnBAOQdV13Ku5Eq3 TpBxXM73hYLRCjoB6kiJo+JHqr3CnfoSTv0eYqxhtEPuFIJ8pq2DeuOofmxmI+4jFfDFhxrnwwy/ HmXo+yHUa36xuBi4KF7KwnhR48Jcluj8YwGUgPUBIQHcDQ3EzTLwXLTBobPZoPrIQzugtgH+soW5 1oU2HfwU7GnnfxtZvaxr8zTHzndwQfw/3ADQ1xRssuOIrEGUaOzV5xhES3SrDCvfR64zxI3re2M/ QmuKPBZIjzd4K/0Qro6w1h30EaPZ8x0UQwL593rZK61hMf0wAGogaMDtGZTjmHkGdHBMUORFS68Q W49RpKEONMobXajkClIVvYZn/KtGp8Qol+na1lFJzamNuL6r8Qg8KlO+tL1Tt8aznBgF32FdsHmO r62VxTzaQ2Fi9KKVHON+chXOeZzhHB3VQRSip36+75LGvrHvbrKi1aDG8Y1bGPkZbuI9hKqL95Ma TuUI7gSR2oNWg5fwdj8TU0DoAO4qYO83i8VdAopYY54eQNUVOtUaq9phphQmvwqIpwH1VYOLzgQz dHGpBg7t67hNPH3TYIq+ay/LYW2t80RG4Fkj0xraeuiBQsGol3miUpjGI3zu38fpcoTj3gm6aiHO LTWaRUS44KB98/l2P+N3bRS8se9ultc5OixxRd/GfXMF96pLiLzCvgVGaoG4vA1tEwT7xmG9kAUF 9BXcbwyCNdDwSEMNly9hz0p4ozBHgY6rJBLLjptC/Fp18CC3WAdgoIHua+6xvm6Bf/vFHwDvgJIb Kl3NV6tOdFBGKZjWUdmCG0fAJgBTRFiECEZBald0bsY7GEToqQFCzdyiaRC8cVA/LrNIArqjFXKV 4o6/htLFiO0CG7/EXjiBrTN4U3LPei3TwldmXEgV6ycRAjSMqxHVFcZuBn0WUEcWlyZDaKsxCgaZ 97JoOr5AbDyqCqhe9Xf4MVqooao51PQCuDeFX68fNiy0aiqvkvYxgnMOUdAI9xsYg7+sEBlGfTWs KxBbB6NL8X/DfIH96BJScyhp+xtH9eM0q2+U2N87wwN9GXmR4iA5w2VzB5PyHNZtoJYeKmQI1jUg oTf2jaZCjmAfYHMQodIpxuUchg6/LQWGawqViaEsI6o++i5DTwORZn1rjWEyA1QBFVhH7L/2DZCX YsFD1StgfQZ1fhf6ZA69Ig6EweyjzmDNn96jNAYd4kR6SoruLmEaqmBUQFeV2E9mcIZRlkPCXogv 4FpoBM83Hdb23xv78Zid3DjHAHPcrP4cka5w2d7FYfYAyaaAWnioNVB2uHu9ia+2tq1rPPVm9ku4 6ibWaoGLaCBpybBaQzPcAlDaBJtRgk3URz94TJFgI4GuQ5fNK1cgiZdI7AyrkKBSx+j6HlLFBv3P 1TxUNoW+/RnUxQWwLAXL9qS1PQ4Ubd8wThX8WxqYsBbFzmxArBUuhQxaTzHTQ8yLMbxdw6ZjrOFw 5EokOnmsfrVtEryxV2/2uv8c0aKG6xlcik6wV54hyXIohtEPAuq9CEUSI+FF+ykAg77XCOAuVH0H zs9Q2x5iV6CIejjtHALBwQWNaTXGrO4j1RkumQV62sPWFfS9ANUNsEc5knyBTdRDrmuEsIKtU1zR BgPzM70APD/3v4T+8gQovwrj5O/bM0Owp9cGMTzMkUY5CeLJCBZlwZavtb6CdjmCGSIvLFhhhEmk o6glBH4xAPLWub1xat+/2Ul1jnU0xHHnPo6LO+isN1A5oKYN8s6nCiH6+e7tT7OnRVbKncGXH6PS DgvieIJH2jqsWTSQdGNZJnhQjVDWwPVwBmCOvXmOeFVD3wXynkM00RjEDlmUSnTmQo1p4ZEEjY52 giv6uZmqPfTJCqr8qvPYFty3p6XyAZXRGA4D6mNWMdiypUNRUoXldcjpvHQp53O/t4QKlVxTPreL wN8Fun7t5+PftpSjN07r+zWrS4+s30HwCr31EurUAYMm//MDjc1+H7npyoJ5Y88wv0Thb+O8O0FN 9LpnazzAcodWBmm1RsIdHQPUcY2emmFST5FkGaJbDoo0tTogrXnSA1ICShFQkb7jKhShwJlLcWCl 8fjzM3qlskGu6acBRIU805yYUtK3AH1do0qAZq9VUOQVOnb+FFKtpLlhqzmQGjhYQRv2fA+Rjx5z VM9bw9pSjui4noRwvLGXZ1ZdsJNlYEKNqOBOH6AIss4DNtd7eDC5jNiPhaz7My6iPNtCiTlOMU26 cJYI6e2OHrB2DWeuRIRIG2htMNIbGGXxZXkFw3APR4sFekviiDQipbCGwiwYrD0XWC2dr9QWqOo1 KgHzChLl52X8wuzcEanOKKv57+F52Fb3eK5zrdFJAnRfNTWtOqAUB9S8Pqs9rFGItcOwmCGLuvi8 vIrYBBxFEaxuOI8vWmzf1rl2Cdk/Rwtt44L2fcBCrP7MY3JwjgN7CmNqoKNYbsHynTG+OLqBe9UV XLcRlKDu3tiuqVDAlZ9iHXtUpoPSdVHUETrRDI4EWyUBE4oQ46QYYZZ35ffcVYh1hf3oPuJrCviS NzhQxizKG5RRV0jQfC0fT6M54niFtTKwYYye7ze1lp+L0TtJeBXgrinhZKpbAX4bddFZtNgrdgyj occy7UGXFTrnBVwMWKo1kKoDJQ6Lxgi2BhcVN5pCnqd920XGCOvn3Fl0rbPeRph1XT88n1sA8Zb4 /m2jUIsJkIYMpYoxm+wh+8su7rvLmLp95CFFqDV6UfWzrJ18rQWPUN0C6vsI8b44mFmeIncaqQ2I jUbJFMEHlD7BquxhXWtkrpT6yVCd4KAuUJwFRK5Ja9KSCyiCMwlcUNDSGfSog0MRHGbaYKlOMdQZ LvvDl+60vq7AvFvXeV57qQuXzjsH9J22c0cpnhZ3xfSbnr0yBsY6LK/1MU32cOXsDsxZgP0FRWKa zUNMNhOFi2iIXMfY61xgU8V4oApkNsORuwT9giWQ3aji52J+R+Jn+913o6qt8ABfRyGCXarclqr1 ojU/C1JIrMXH0Qe4XbyFyj1O/DyIM/TkfX5GO/pzmPLn8NVdrFXAeTCSzl3qXaB0zS5L9DTxQIQ0 Vt4j90zvUkziBG+lJ7ia3UFyt8Bm5TEDMFZW6Dx5orEOCjVVHsx2kTUJEI9JK3QBz0X3kr4Lb6iP P/4E//2//3/y2ff39zCdTtHv92GMRZ5nGAwG+Nu//ff4+7//Lzg+PsbHH3+E4XAoj/Pme/DgBL1e TyLCKIrR7Xbx13/9V/LYdzG1PIG+fQpQ54p+qU0HaQ9dJ6NT77BhdzANSIYBVzYn6N51qNghjBpY Dl9f1B6J1fA6SBfXqoAKDv2Y2g50fnRuL9aN3S7aV8pdfQVGZ/M8DmdbD2TEtQsV+TrnztfuHn/r HC2+CCiiFLcuX5fS5TBZoBetkbsERnlMkhW0s0DVAWz3DXiUZ8nNocrPwIpT7DXGocTSJ6LAwAXL 7h4jrkgrKMd0zzc8Nc+Y6BSjizvofZIhzQhyVBjQGfHaHTG1CQJkTG0kEZr3Dl1fYc9nKHWEPB7A KYdc5eiH7+YMtib1tvUa0+kFOp0Ug0EfcRzhX//1j7JL/v73/w5/+tOf8Mknn+Cdd97GP//zP8uN NJmM8Q//8I9yM1kbiWNTSuMv//J3uHXrNrIsE8f1rSMtfv8/fQ57cvLYw0/ScCR6UlpqVvaYtasA 5R085Rou84I0jp+pIN08H07J4XRr1JszLDsHKFUTGZSo4AmJkKN983nbOiv+e5VyRj9247ndPTdb JZUn7w2eRzqrrX4az+mug7NOAXWXFc0KlzozDJKlvGCIudwKcvGn92A/9XA3/hxhMHioOYSfUfgr 5h2UuwDqT1HX55hHPVzEE6xU01lyrm5a41IGDkh9ichVoK8aJyssVIU9nGE4X4tDW3j2DemiAAa2 eYcyMwUG9Rq57SJxJToux6BcyquW6R4qpZB7pocL9N3LcVh0Ph988Gtcu3YV6/UGeZ6L0/qbv/kb ucnOzs7xH//jf5Bo6datW/i7v/s7GKMRxzF++9vfoqTul/NtSqCx2Wywt7eH8Xj8rZ1VCCXM3dvA +bmAQb/ODbAutaaqaOqhewqLeATjS4z9FGUZUJFL2GKqhL7DAjzri943LAStMOscyvu8CDyXKqo8 V1xcPE/8rlxgT3YYf641ra+zbeS0m1LSms3PPnz+ySjM2gAkeYb9zhw+aJxnY6lwDpMlEuQYbhbo 3l5Dn5ZQmz/AXbkCaDo4IAyHzVFipjO95vGfpHmGQtCLM6j6E4TOXNKxfp2j409wPxojT4boVUss VYy1JcI9wBuLTEcIzmKUrDBJZohnU+h1hcJ6SSMV0z+waK8QqM7gahxsTlApg8jXwqEuTIJpsg8f s+1ew2gLr5w0R17GUuCC6nQ68m/XZrM5ptNzcUyLxVLSxCRJUJaFLFBGULzhmALSOXW7nZcjLV1l CNVn8F/eFEdI7yKOpmU3PWlSKxxZpJcUOrlCKNZQFwF6A1iqVE8sfMyUmo2NDiLlYepMyM8WHr1i iaAilNqgNn2BQDyPUfKZ54MRwTYC2C6+bXF5W2D+oWpb4TXqUD4rpeQGuHu+dr+TJN1G2u90VhNo VcDqBTqqwkE+w/jmFPG9SjgPaj6DnbPi0hqP0VHwx2O4936HoPv4SZJt3TnUZg29uAt05tuzjXk6 wdr2seZtz50iL7GxI9zNuhglJbpxjk1lsCrZHVQY2AwDq+WsUzyuu2qK7THjMaryUjerVQ7QcKhs giIeYG66yGAwyOfo+AplZx9BN4oC3yfP8NNPP8V//a//TZwS61nk4jWyMECSxFit1qjrCqPRCL// /e/x7rs3vvubbqYwtz+Dqc6hjUIUazimdAnvP2kUfsVIdPZ9h2SuoGcBXbuGukvEO1ANDLLuCCqJ ELkC83Qf/XKJTsmaVZBznoQKSfYAFTQq24O1PcAetWSf50t1dtNDkW9ui8/bYvwPZb5Ns153ACu/ x9NocAyw5MHYFDjonqNnV+jXFxjMFxjeWyO+4DCF9ig8B81xGmOUlfCxCqq4AFTWbvmUmmW9izvu 6+Htn201VHkLev0AatVw0pAqVNZgqTsoTSInlx3Vu+bXyOsOKg4z0LXw1rytUflK9Np1VcDPK3Q3 wDoLWAWALp48wWLSnCezvUjaYmV7KG0P3TpHn6miyzBL90F3VrsK2q+B73GTODg4wL/9t38lac82 VKejKopSUp8rV2y7YO3Lia54i602MHdm8JmHIxThQEFvqMHeFNxpuxgsqXNohZhEzEoB0wC3DvBR gLqioK9GqHt9Sc2b/oVHvKmh7weEfoDqE9zbHJMEdVsvEdyfAE3sYfe5P/e2dU8H9ao6huFVzzF4 yWrB2//fSmo/dFhsnQ/NBXwcI3Il9udzDD+bkzkCHDWKmWoGhCMFdc64uj0yo/WLAFQbqIOPG71H 7momRh29g0glVNTGa21BQ2Wp7NhS5Og1NzdVK7fqFbHWKJRCjyh2LNEza8G0EZbQtxXGOEVa5eif r5B8uUY594g86zKtlqsBil7T/kpYPOYC8h69fC1KDqyFOWWRR11UUUdSpNrlQPkJkPxZKxb/co31 GTqi999/H1m2edgNZOp3cnIiN1GSpBJhbRcnU8Qn08rnNZVvAKyg1AIwLHsDVRpA3Ug9A3RTWpVz v12WIiPDRUq0euKQdYGIkj6TgOoI6BKLE1vRzrcE4QIYrJbo3FxBPXAI7yiEfouWl5qThmaxXlm5 di9iWye17RZuF9gPmaqp1yQV/CZ7Wrd16/zFYTGPn+RTXHQp3lciLkooKshlQNi0SQcXETsuvD/P G6Bjk8YohL0AdLJH5R5NQB9b+q9/fCXbb04RpUZPyfcb1n/JpI2eX+gCCl3LiGohEIZYEdJAATne /EbGR+0X51B5hTL1SEqFsAmIudZ4hujnoyaQFeE5D5hlQDfPgQONopNinU6wivqStsh7srgdVujK BYm+l3SwqmopwidJhD/96UNZdH/xF3+Ojz/+WK7sarXCYrGQdHEymYhz+1YOi2l3eRcq3AVWdMTN YvdrniPWr4Q7/hjRmak061pMFanoSoUGcl79NY1UqJwN7IMOiKl0Mi+QXOQiSWPO2QlkvbA9GFNx EwvfkGuhjoaI2TX8FpHNLvfwVUQ86ifitJ5lrKjAp8ConMvFinyFyJYIHQW1DE1Etb1LLgICm4Qb hTAGwl4jORsYOe9sSIzSrMulnd8Im7/GxsUyaEjgYPrLQItBJqkzLKxKLYn+LKDrMiwJ/fBOuk98 fBkPoWsuJweXBmQqIHWNo+KS4E8SdLmBKE/IRCvlw3OdA/WY0ZtFYEpjnHRm6SBdsFglV9BVyffz taXjVQqsoiia6IDO6ezsTBxZ0yWMHi7Qfr8n6eK3spAjT9Zkg6FjPTp02ryPlpDC+ZNrsCE7K9Sd gNVBQF16dJyGorO0GiqUyE0fKDewZYHBuoK966HnXs6v6wB+BLhu49R4HYIojjZbbGUSxM+Bctu2 5rfna9dZbSWgf+hOoX7Na1ffZLz3pZDCwQiDYibdqbITIx3kUNMgTZuHuJc5ZBhlGDaa5bKAn2KG QxaCe6zc9dqaOOQhUF9uIgG/hPYFEKVQ5J21ZT0uIArCJcaIdMmoWqHgVBhfYlBtYHIPdxqgTgPK ijGRbocmKJYAYc8BVwIdTvyKgGoJqKGCjjwSV6A2TducxqJ8XGfoyoCLUygzIdHupX7tGzduYLlc SijOmhXxWduU79KlIynANx3D8mGXkb9/G/OoMIt62LiAYxbDperQjgdzz6QWIlgFRR1pcpgzXgFG 9R5Z1MMi3YetS9hFiVrXqCcAZ6FKQBUTAsFz2zgUBkIRFRvoBKEQVZumut/e+NySnPKCfpfr5Tis 1TT0qx0ntTtv8Y0A4Pdjkix6Cl23U0VKTsK1A1wyp5J8qN1IYw9fiaZenbHmU0Cx8MwEQRFWQS/K HTZjPoFgDr772yiDYC4BeoJAcb7iU1FPKG0qswd1uYaKu9K96xZzJNkZsCgR6VIGIPQryvF6kevp nSh0K4NMgIkN5oexV+QUOrcheCGtAuoOUKcB5R7rMEyxtdRhWGzne47ycwyqFUodY1VeoB8dQSW/ fKkXhi17/ts11q++D6sJJ1AW44sMyf1a0j9GPbuyMY9/OEa9VBINAlfg1qhKLZCQZWeMZTLCuJih tyhg7gSYywpuLDKA7VBURv4t5qrla7Kgzw6tIhylmkGpP4l+GcHAi6iLhelhgAITr+FdDe8NjJ/D ajaaDoF1BD88aCa1+hJhU0KtCon6BP4jxPg39l1NQgSzYurRlGsIVEwuSqj7tej8b5cAC+7s2PCB WjeKAcY35MYf3BjpUCyv+lL2RFFHUDGCPUawV6DqeyKkF8w+vH0fMN8yVRHj3RwJToeOkOlbbofI dIKIxXZvEGWUi1kI1UMmDRPUHmuq86LiyPOScwoDKI3P8zaUpdK0Ixq2IGAK/g1QXleSovNrmWGz aBNir4KHDx6DfI3RZoEqtjhNJuhjiURtpDUfvqf08Pu2SkaaeaTrXCJR3pMyoksczBNOKwLqSwrV MVCx9kQs2ogj6CNsBhPcVO9Alw7HmzuwdxyQK6iUXSNOfiYgsXFaC9tBt86kZstx9VR65ZWQ840C qrot935mu1ioYySLJYblGWzspAmV+YAsHQrWbrC6ic5nJDr2oS+lUPMp/JmjOBfUpUvwv3gf4Y3D einWlOOFTtKM5BZFxtrBVo9IW4EifpxY3K57piSvrrTHSb93oIsPBU6x3Yapo45qLc/Jbe430Gc5 wuQ6wuC7OKxHJumf1DpqdOuN0GQSFXC5mqEbGm8kCyxpHBV/iflYraCqpi7jWie1RYjslmUjq1B3 FSiawYAxaoUTc6VRmlhgDfunU1jUmA4PMQvHcMk+erqLuB2v/jrapu7g3KVIS6DfDpTYiug8eZ9x 3HwZBbi4AZOKVL5lVBohaCUy35P6HNGdSjrYYU9BTwOSaUA0qoEusNwfYNEbC4zBlBVmto8xE78y bybpCH6C15kYrRLHxQN0sgxaOczTEWIyGKo14tNz2PsK5sKBunKKXaoztuRZKGuVUTecizCH1yV8 lEKb9CdfGP8+zXLREAEclJZQeh5PZADFqDODylrQFsce1Y9OcrPvvSJjraE8h75bAkvAv61Qxaxc kLvH6SirR68VlPTL/ay8mTlTkEXwpY5RqwgFQ1OmfVv1yRDQM5obLPKZh/0CSFlAlg2BZNvtonzk vCSSzYHOpwHVEKj6CmvXvG4TUUCxRn81hU8LrKMEsT3Gn/sJKPDbfMXXdxHQERwVK8TTHFnlRRvs K8ZuYLtpRm2mWsnM+QYsmqYZhzljPz3DpDpDPY4Q3y0kUtVfNpsHugFlX2OdpCh0F6XJEakMLkqR hxoDksrbeztQinkNJMMCRhcCsRBtsnyN+KaDZT0yZ2rYrh9xcR5BeUnlicGzp0CYnqOOZzLWzYz/ Akpdfq2v1au2RoeBobXoO3mMVxcY5AsEpibHqqE4nAWo2wTatZ2yHRNMEom+P+SuwfB+T0GxS5k2 eKaH0iE7HyxcYo77Et+2dSyEHpyrRAizhPps0hHSTSk7Nm/Uhe5gbmLE5QpKU443wIQmet1GVfzM 26EJ2+oGSbl0drpPNYHm4iRaIa1XMPUS8YVDmRuot38N7Y9+LMXE72x9s4EqZkgyDyOF7SeMSPdD BU/cFAvyFEWkr/JA4QODJujzAJPU2Ds7wSaKEAeNuCqaLjexgSOgPlRAL0aIExlN3y2X0hlMqgwJ 605t80RuJUa7A167psBPxxTOPKJbOcDGSHsdWY9kLCXXMFaoL1GXXwtukRs9u5Fq5BGx1BoHaVi9 8Vff3prIu88BEx7D9RxqRmneBGeX99nuw0E1RXKeQy2ILYowTSfo1WsRSstsDwfZibQapSPITEwO y0hnF+L3kk3y1vbobZGDUAD5lSnCgyCge/8SmCJPUeqVIu3bbgG1XIizpjoDn2vLL6hDBVNVSJxH vQbsprnpXRtdcXMw7eLYLcUKVpGFr5OAzhllfwRIBHvMwXnNOVbLHhQOfzLOisZiuc4qmG0a9ZUX NJ1TGitNU50KZ5PqoR1VoMPZgpRDLiu4Lz3GIW/o554g5oAwUvC/MDBdJV3by+vb4mRyk2KZjLHx Bs700SNm7mQh592TqLGAKPASD6bzJqXncZvr2AgHMriuxWkybQ8IXXYRA2JmJBM+H6A4zIXVC4Jg f+Bz+1Mz0eVz3AXkN0jkwq5NpGv0z5eITwjkg0RXDN33s9NmcRqGWnnD2mn9ktNW/nEqSfAL6dQ9 vEKCx/o2mCwi6UsZRCA3ring8xr6loeugHBVN/yW7duwI327QaWrowD06EV2euNfWRH8gM8fHdKH bAecNt2lpojmOLU56mBjLCoVy3CJ6JMF7Jz4qm3xuEn/Gn/b/D9tq1XOFr45ffQxJaJrnXPZCUKO tsRGVcQ/vMTQ8RVbvK5g7lUIOZ05HcOjGh+j/3DY1FAZgVIZ477pwwlRmScmQ9AzVLwnLrzgtsRZ EdzbD9IoMgOFYLzcBuz68Tgbk+I8OpRuL2WUGMFG5aZpJjGqKhuaj5+xoUPuZ0O+5g0vmagGioFH PNTotSyIKFfwDwLCexr1201BUyJ/cjB59Ynle5MN4rug/ltqTmuMHtZAXORQ+zWiknIq7VM9YB13 ELMiTBxKIMt9LiwdXhQTJZilB8h1gkl+ii4nHJcfSwWa1Z06uYJI7b8wWVet5jBffgJ1sRGnWd8I WKkN9NtNuiQ5bRv1iPEG44faU8Jz9OUZgp9CtdQOCWn4R6yGi8dJH1FbnubMRCfJAJqFE2JuEljd EdyaUlRT8JKWrLpjLLqH0jkdX5yg9+kc/iJIyrctIDO64j1PsjMXZtkW2qWOyG5X6/i3Tu3hJpLy QinpNLqcLIRVK/Pzuu7XrM2RC9F8frtx8Fkznbmp8zUmz3LdszsdM7qyeKC60qFLqhWcSbGuC/g9 IuI1VBHg30JT0+S1TxuxGPZjLJvJPJe8WQnqTDqIYw6nr9Av5gKD8ISP7MeweQV/h5gqdscb6R8z UQ1VdhqgvWoaz0ctLOJesyEFAxjed8xR+bdyXyoUHJob2PV0jRKE+vk6Kt9i1Z6cRvS8DkyQ7oKD ExIzD6qwGfSx6fUxXM0RoS1ic0eJ+yhNhbguRXNotDkRHh13u4tojAf6GFVlUEcGh7iPfn0mFYHS dnBme9gLxCt1nt9pcQLJhx9Bnz5ooit2fJxC13EiTVNcYMjPXY81IT4ksBjeRxxVdlqj3vsDAhHO H7NpOP9xAAAgAElEQVRI2uDNwj4jM44ve8bIri2Bm1AGnSKKhlDpe0LoVskNaEaQOR3hfSaJwlmr NTFWzdh0rSrU5KhROovcsha60LJApOqxgMcGAeOhxiwOiM8oV0MHrMShbR0Wb37KXjlSSs646GKo Dj3ua3rXcz6jW2FlHJZ+IKTkg+wCSd2Qk7/igrm+LwL8WGGjIqyiHs7rgG7SwQGdDUpwS2QqVt1o ak2JafmYrXyy4TXfObZj+aOYoluvBU5hKOFLsnkykt13cnGOah5Qvquge0wXI4EvoCoQD6uHdKE+ 77H7QEX4QvtZt+URUYclIVpTzFEjd8Tb5TDS5jI/vQHCz2G7hOYnuZZPIvSfpY3fFN0p6P+LRpnR jQ2C1ejUG0SmbNDEAtYCBtVc9InYPOxXFKEjIDggg8KGe6MrsXH7UqXp4QyR1LQUHkRjMMIOeooJ OESBdZhv/tKUs1H6QlICwgLoZDRB5lQdLAhPVlJrqIhz4pdJFDzrBFIJD4LMB7GOlEVggMTCJ/+O MrjbmtdT+F7NQyKoKyBAydWY4poJgjlsJrgUFZQ/bXiAHhhn5+iyvmL2oL0RJgBvVrJp5By3tyl/ ncGjtAEdq7DqBsz6HvsnjYvauiLZsYk5GitpxddFQ5C25Hv2Jq9na5w36eIcG3WOL3tjzKoOjjcP cHB2B6rkrtnYV75ZBZhz1olK7O8tUZgItY/giccTaAPZAkFI5JFpVF+3xxHhPv6yc5klZeRG4goZ w7ax3QY06h165VqwYGyeVHGMVTpAkQ7hqoDR+Smi8wohDiD3HfeEry0bTKE8qh4DdhLTuZFGyGxH iOtpnqNDPbW41RB6TS3szG18EQrQNrLaJTHv/v1u5LW1Z82DtJL1nAbgraYDyJSmX86bmyZq//E9 egpxKBoeXdxFUq3FCRXQmNueFDOP3E30FCMPICdtJR4hDwqnIcZAAIKV6JF3fff5HNZsijBuoiLc lJaMsOtZg6hjAiqb9vFWxUYKoEdKCnNqxRC+Db8FGd0Mh+VPRmotAu05zUH5bOee99Cmglp5hEXT taTkTJp7HKzPpFlBx9rQSpoFw/hh+5ZLeImaEq2xth69UmPsm/SlSSFbJQJGVhPWBkVdWX5G3QHU 6yqUWFfw57exudwgyEdY4Gh+IsRk3jNb4zV6eBKIAewQmgD0XIXryzn2L8U4G/RwigQxx8pvGvkQ FtWf5ccl+992aaUO0taYuNtTxYGNpHolgy5I7q8GFmfpPhbJPoZ1hoP7U/Q+y6FWgD+WwBp63URS AgKOFfIr3PC5MWts4gEW0UBklzimzUjqrxvGz2u41+xGRlsH8zxOa1cP7Fmvf5q++7OI4+Q7N390 ASE0SySyPRBTKLbFuDG0lBwpnQcnGBhiS/mTfiHYLgKVHogchsaZ4XajseZ2ExTedmPYoDHyxHk/ n3dW/Fs6A6ZuiwB9G/DvU2srwNuAIKPF6WdbLlfzVaXdbXpK6m7SMCAnbyYznoCRahbEC5i4HBbG ROKzEQhXFxX0bSddVaaijrvuhtEf4JJH/rDhGTb7Kl0e00D+f2opehwQrQgt4+NevkcDc2gGIQj2 jYXfU3apgHhJ+ZQzqOE+wmj0+t350rHLkViWf+4jLSuMphdwBePwVoiIVKRrFujRETTI20x1oJ1H 984GnYsA1StRR1IBFE19xzQr+hpn9cTvWw04mhYZ6haATGeSBQSnsDrsYJkcwGQ1Ridn6N9cIqyb oRZ0oj5vam6m3Yw0YTbcTBlZxQPk6QgdFTCoKhhrUOgYiqJ+r28y/xipezsU4lmR0K5m+7cRFHxW BtE4LIlISJXnELydZ9lpo7+hfK8B1rYHRSJvnTHjahclC6AbhLiLc3MgRfncZyKDwjqTVx59G2ES RjBOP7+zms+hz88R9nwjEkhfQaezIQ2DCgYkrBJS8CiFkjpBW6mlI904ghC3B2yjsAat+cgEmdlu uM/SG5RqeCUjzZlCyN8sms8j1DEeps1oBHgo/9/EkHyr7V5B3mCNAE4VTBgBcgoxL37R+h7Wllto hLTNNwEmF3koeRO5VGenCIywfvvnlP3Ea2Xc8LoeqaM4DxfzSiL6xl21ulSpwsn4WJRCD9wZTF3j C/cLYA94p/cZunoN3QvoEttWZfAhFkqTsw285GmXbwuw2QJ0ZV6kpIWPj7qX11FB95pBNuxj7JcY nV6gO1siDDwc10MOIbGTZoXLGm7ZdBHLI4UsSeE7I0QqoO82sKGC9bV0kFkfi00izZPX3VTrgJ4s oj+p0/5Nk3G+jTU+hwXtg6a7wekj1HDijUS5E7mKbYhOyEKtExnsXYcaCfN2HWPIK5mdQ0U1FMX7 RJROC9eOBflHXZ/ncVbEUN2DuX0TMHOoTZCWdmCXhvWnhMdpMDEC2WPHpm34sYMgQzVlgKlqJ9U0 hMjAWtCOuvOuMZJkd1T0vp7gqLbKRo1HYiWfHp18tDFlkbWUtggSZPepkVd6BFfYLgQ6KREq3aGb 8PNKZrdW8BOgGgPpA6C3eqiN0dBOxFE13UapgVH58/QE6tZNuPfex+tmglNjJMmwlJFzczqb1IpE 5qsRTjuHUEmA9QGjzRSL9Rjr8wHs5Ro30o9hQ41eUDA+oGDDZa2ESsZ9hSBnIekz7W9t10Vs5xOy GcLrlbT3y8PNJlYoY4PYUL3kPhJTwl0KKFjfrYGUhXbu1tc01GUlKSKFTtepQdbbw6jMMby1gtZO gMvKengTNTCMZij4T8JUGzlto6gnpXa+j6nP2HbcCawjAreMYkw7l8RhDYsMPb+CijO4/RgzxFjo CaZFIfWXfaGeFMhii731A1Z5kFA7KSIxVEN5tvtZvNyST57T/AJ6fRMqP5cakdxhHITJf3Wjfc5C f0em/bbYmFZvJN45QXRidBD0cfIdmdKOnvJ+MkyjqZM8q3nDhaCKDMEtgD7z5hoYZgiph+pp6I2H Icl2B7WudgM4EzCn/K5riuqxaci7RT/AbIBlPyAmSvqUU3QaVabdyIy21W2SAJF1gVs3EQ4vwTM1 fI1Mzou2kjYlpcfAz4TUzSJ28XYHs+t7iDpMNbwg1aNQ4qh/D/cSDZuQ9N50hRnoGjq9IiC+HyAZ 4j5xV82cgae+7w62jTd+c6Ybo8Pc1KFBvcQBg5od8gqeWC5uiOdAvGrgJeWeRn1s0fUepggo91kM czisLtApGT2yazwCTAdVSgpQij6nfXM2JXeg17jw/qRto6pGpid875pc1hMxfkOhUkFEzOpsjpML j3/6YoG34lTUH9O1we2TDRbVCvMsx+/+p1/h//r7/wcf/OaXuFhMcdg12BC7YjN4S+0mhTIrMBz0 oeIYx1evQ8fP8SVCDb24BzWdQy1YuW+ciTiVHZyk8PC2GLynOBl2fESVc3dv5UrnsViXe9K2zQWJ DElaY6jb6kDzECxxPCigozP4G/uSQyo6L+OFekOH1iDXH32+h/g2NiaigHLUdLCii6bxyHoW0c+D Sgt5134e0M3ai/+EfP4u3/DhN8oyqAf3gdfMYdGkscfJP5GGHlKssClFnB7u4ybewVF1H+PqTBgV rJde0TfR78yQooBZOYlqAsH+NCrjdhXCpWaXYq3T76jgPHm1H0b7O2T/raYZZxWys6sD09SmYUNG B2tpRM/I5sif1NPi4ze9EKsVpZm7AR2fS321PhpAdW4gxBNYzQmHTJe4pbc760/Q1DNgCC/brPtA Yz7s457pY1jO0atW6GUV8uUGJ52AfL2BrjKsNgVO5mvE/S72XY6jvX18+vGXmJ6eIT8Yi/okuXVU zib04eJ8imvXr2FaO/zq4D2Y53BYyk2holOgR9hw4yjkRtx9TduqfnhqnnKOBHVeO4x5V7IY1Nat RL+7rYURtyPvoZ4YJBD1xWGVxbQ9fCOpgwlb2VTZuw81j6BmlfAUFbuXrWzMUz8SG4gVQawK0RHV GAJKGZLQpISlCogoQXAZsNkjGP033toCt35F8j7f1njuV0yBmS5AkOr1gWlmzTHN7ilkvoO56+PY 3RFnRYurEvvhfDspQiRf1Vo1moUMoY2CpxQPpZFJbfrGgnu7oezUP/nZhDfI+0SmdTdFdXak+bhi nVHqlXy8UTMxdJZtt1CnHADaUItsYhCova+3RYAt0+ONfVezYdLF2gN1kuLCdrBkAbEX8Ku3DCKO hmb4rgwK53DdM8XyeNABfvv7X8LOL/DHu0d451dHSIzFIvBG1Jg/WKD76R1c/eU1xPsDpPFzTB8h pmZ9AvilpKfuN62De8Kp0NSzFgMHEETAx6VDBI8RdZB2/aR0O7kz0vkE+OuPNxlkVBPxZ+kYxqVw dTO+XHiL0lkkRehzqCKFWtfiAP2fKeCjAHP+dOokPyvldlnjuqCG0iTAjQI23mPvTGN0ohFPNM6s Q1579H6iOzBN+QJKl+gXlYA2KaXNCHV1qY9FMpYhG1eqm+isH8A+nHTCRokWXSpaJ10LFUsczZrN Gc4fZBFcN1jCZzCWtlFUi+d8LFp1NWcHPqplSUruFKq7DnoBEQJgl9z0FdREQY/ZJW6cVXkFyHtB dO9j3Wg9eMW7LxFU+2uJl/sRm/0//vNH+N/+11/Db05xO8Q45niF0RWZGkL0cVzPkNseItORpfTH 8wsclCluOodfTWL09ka4C4dYO+nQkW9oriZ46+r7mEQpRn6E+HlAT8QiZHsI7Hxx54zXUO4M0kJ7 HmPzjgwaAO+wztUOEeBju2NWAh3UlWZoKdvTj6wdgEkwIcm4pgsnWuyPN6K56DAupFAuY+3o/FjM /5piap543OsSu9WI9802Ac4EpAMNQ82rPtBdKOyX3xCFPgwHth+55X9sn3vshT82Cwi6RhHXIkdM VCxHpCUul/mLNdUtXIm9/AFS5DvpNcX2hviT/jPEdY7fmD8gmfC6ADVlkYme4b5SfP012KbZLfzq Yemgks6ybjuHwKr2AvbtrzWSUy06/OxciiovN66Yw1k50t7Lpuo7QM9qlDXHufFxK6IAPSbydf1w RuEbezlmyX6/XwVcdPvwdYEznWKd5Tju9uCjntxIrKBMs32EEONK2oMxU2hjMLMWF1mOQRTJRWfx lMx13giRZZfQYBA6IhnyjRbF8MdXdh7w0MU/QQn95WvU4bljUu5DtFiaDtC9sha5m8Nod/KJRl4n WG6sdDAFvJ9pqVlQFjeJa2wyjapmamZQ1Qq9ziXURYmw9ugmJWLV6NzTQdlrEXRPN53HLTZut4i1 Y4NCo1cYgWIU9z0mZwaL6wblMOBmr8YekfEmwCWqId3KMbbavU1rSYZ+UIH3XpD0RJzldAp8+EeJ QqkIKz+lGr0vaqs/iLHIvJg30p9PMU+Hws/FQRbzFexJDTsIqDmPq6yFwTA4XKDXW6LSEWLCR5gZ 6wjzeA8dR3oCa0YONWKUVHqtiFBv9ji1r1FxRBoHrTYDyZ9pu89RUUE4sLz+ovtGGg7Qo/PiLAPS gQ4aMDIdYkRUOyVjSAfbC7BjDUs+autUORKtKJnqJ6g6FAe00JRTbrtnP/XhED+U2X//v/8t0vU9 3KuBcTzABDkOwgab0JXCYqFizIoIq2KEBae4qBjXRwGJpbSKx6U0lZ+8+FsxQBkJ7rxEEd/JBP78 Dcd4CraqazQOIivZZL6j5ffZF1P8p//zn2SgQpImMq15OOjBGoPf/7vf4f/+b/8gN9bB/gT/44+f 4f333sFms5KRUe+9M8Jf3RgBJ3Wzm9ftjvuugvqwGYkGqgJwJ64V6ihqWr7eIY8CahNgaoVYG7ie h06AgTGIKKHsSOfwcJFFHsiDoyCga8i4SYKIUAZdSHSorrP5FKBIR/rDHIbOImpUCMI+sV0RfNw4 rR/C1GIB84d/gVrTsXzV3IFClTCiBJK1QkR9qvsNAFC2E6IbfAXf07CRgxpRlULhpHsFt+u38Jb9 Aoeb2/jA/AsKJOjOBF6OuseNUcMOFIqJl82AhAjecs1klTYNpIKIos4/myMB3jX3ajCRTJaO8wK4 TW1+D/8bDSM1T8JoglDCiJsOp0GGg3AmZbkXoMcKlm1oNrHJAot70gkcRF14PUKo+7IpbgvRu5SW n7KFdvr1kxOEXqZZX63Rrze4ng7g40R8RKwDCm1QeYtVmWC+GKK+COhy8vGBRVZcxn5aYy6TYRxO shyTJBYIAz2I0DtbSY1vbYwwPO+Sb3Z6ZOW77RBMBFyO2xR0lz+mgONLQ/wv//PvsKkV0uEE2WwG VxXoJBGSKODPPriBqnYYDYfy9jFlibsGSRJw+aALrFmZbYnTk0fdS0pIi1JAB6hWgOKCiy0u1hSI A1arAH1Lo75wiHoxcl/B3NeY9COsNzWKoFEVNbq2h48ulojJOXM1NpsNVnWNvcEAaaEQJzFsonE9 VkimRVN/4wLzFFpMECKDMOSA1xfiHX2vZs4azFyr47mT1bZOhXAOa7E+7KPsxujXjLRiec04nGFQ z8QJdWcr9DdriXCrsUHRaRQvIpYgRBq57dw91qnVWGGAZTySjqSqycSoRCX2QpNys8CVm7egz2qE d5odT38REFYB1EdkT8OylNZRKN4LAvSlWAnrlaK6ECnUE7IQPHrZDGrEbvgxUlH7awHZP3EntWtb /NXWce2CSV+W2bWKcV93UNtYLngVdbHSBnnVxWLRweLUoLi/hrt7gsDd6CiBf+8Iy2SAg14thWKr EvSigHlZonQO/YjkkhaI961tWyb95lctdYq5ijH2RE6XMhKLJ63zMFfjyfTYGwb89b8ZYKX6+OI+ Oz0RiqyGcxU+/fwWxuOh3Py3b9/GeNiHrSP87i/fgdbUum3UBAQMuCuLQXUIRlXt4IRN5GEOFNZl jdOLHIuMpBuFbjQQeTAUOXxdIzUG+dpJ7WOZFxjaBL2Oxp7VuH1xDssmRpZJtJf5DPfOVuiQXesr XJnsoUMKyaWGxK0fWPjBdYTOACHVCJzJ90OYRC0tferJ+trjpcOvdFEfvjSiA4qw6I9ATrtxJWqV YP/+PRzkOaqBxipNZSoRHVf2yy4W0QhZMEjdCbp603TytiMIdt6IdJ7RgwuYtMK9K8dwtoe1NpgX e1hmAwyKBcyK0Sun6ih4ppQHgI+UdADNvUZOpmTD5So5ggE1rzdJ9SzD9QLMQCP+fA23Ngi/Ivr9 cRrKD9Xu/7HYLhWnqpqW95OR5vPa05ydTTYLzHWMDvEiRLL7CHkZ4+wkweKLHPWtGXy2lawjQ71E lhU41ftI305RI4JzKZRdItZrFG4jHcVuRF71d71QX/37Lb4ptGhpnoDC1Si9Rxk4CMtgY3pY1zXe x/qJE8QFVqPKMjz4corTe2cw2iDLC1w6HCDLWWswuHn7FG8dR7jU76JTRKg7Bu6hbN8TH4bdIuHR NAXZ7AhYHzpwtN2+jfBu9wqqpI9ycgSlPRK/Qo/TWmqyAjzW6xw+3hPAaHKnxLtZgmuXLqFyDm4y RtJPgAMW7vewqkmeLZDwwudN54oI/hAM/OUDhMEPVLd6+P09AofuDuum8F1/dbt5oufxVSAn1Q7O C4wHZygUFTBqjLyGuVeLnE726wT3J8e4rE4QGY178RHuzI+hNyVu6CliznQkgDRtNgyJscpH5Om6 Y5FJqq2EzkOpF+c1hm6BwWwBXbScp63PZVpNruhHjWY1dbXcgWT5EqXHBwrqoNHtJ700Ij3rrJFS 5tdv4BI/Hwf1TSPntyni1p50WLuA0+dxXPatzRJp1+OBOcCM00tOY2QPKqzvzuDOMxlV9KSFWYnl v5ziVrWH5PIYkQ2YZrGkIqmpwRIK00OZavKiTov0F3aR+HccECozBmuRqxUy8zbbY31NR0LA7tS5 aKaTVnSqU5QqFukWDoH9yuF55DjCb/7N28C7I/ia+kweB3spNlmF1abEB+9/gChLkGYGOFlDH8Uy /GF7YiXkZdhPCZtTdr8AfWSgCZsIwMLXGPQDRuMYlTZY6ss4K64h7WSYjOjgDZQvoVyFUco0ha0P QB0TcwQkQjpv6iN+UzeR2UBhME7hVwYbVOiN2WFMeKLh342BzivoRJH5xGCOi5gdOxZ8yGCqH3dY T8NCYfs4IyPqnpVriWByCt1FFvVVC6sqeONx4Dbo0B1Q68qtoewcLpQS3ekLyPuGa0p0r+S4PF9l QHmosRk3tJhOKLFXUBLJolutMDhdYnT7QtI5Rla8kVShmuGoVAVhVhcDNRsdewLOR9AWy6grWUSP fMFpAX23dXg7wcA2knhWOrSrC/VTNkVco20W7C4R+nltq/Sw+7fWUB87W6EeKJydGJz+YYFwSlnk Ng9/hoVpjeX/uEDtFS7diBCLMFlAbFl/cLLrNQO/n/eikBe4knmDxGI1ap8WQfeh/AxYNhIu2/KM 0DlcLcNFHecGJl3RNxoGj8xlOBQO/VNOIovyUYVO7KQz+GgCUI5eChxOGv693URAQTmUEnqZQnVj BFE6bE9m7ZoSWxxgDg1ICmC9pkdH0wEuvMPQGqxVH9PVMdZfdLCyBfwvU7h9RrOcJOyR2A4OKEHi 8gbr9TakKM00k5erlnRLSQSpCAGYObgl4N6OoCY3EEjGI8nEPAfW7WWbUJboINgd49w/gPLqW9f5 WCWNzpwbSLv/0UkQ5qEaP9QOMW3WvXAyqY1+nV89Rzc7QRb3hN/aKabSOTSmRMI3I9OgVM0ex/dg XZGg3Nt08gE6KdBVDlG9QX+Zw87JdgDM1DVqJK1n1XeCEKjlBiEB+qpC1QkyG1J0xIU6oZjRo6gC ok5AvfYwFA1o4SVcYGzkPE1a5WkieHz+5wJ50N/COW/rYbtaWbao17BxH9H8DMU8gj/jBJPnO2BY VMg+nmKR9HH93Rqxldk7ZM1xdDES338+SIPgm1ZQ1edQ9YM2wuLNwwIyI7cmVN/SZ6QLGSgjUwru ZW5SUDarGxyGoRJyLdv7T/flQbA/3/jdUs8eN/ymhM5imEBdy3KnfNzSha4qmEI1cANSDbXG0anG kkoS1yyq7hj5eQ84rbEpl3BJQNoz6HW9RIRZOsFMaxyv7jRYMqLnG9RFM1xjwkksnMgdYPOArA8k NVMdFtmvwjwmr/EDG6EVS8C0l8xz4AK91uMvgSPokvIrJ41UEQG+om/OZ2X8WWP8SX0zUsRYUqdu Ojt+rFFlzgvOKakzDMo1ek5LvdHvk7TfUq6os0gCPyEOhyRCe/T22KF0cLUHccnje49EFXl+M+qS scNLID2jqONW04pYQBbZiajnfMN9Otcak+kSUeKlSZwPgPhIQa849l4j9NLHoohnpTrbxbtbnH6T Rn59IX8bldrFcIRuxnCYF5yVRDy/cWO5qLD4cIX7aQ9HVwwSWza1ANeDDolMSn6+Y3GrpWTCI4Qz i/YXSQ9eDdCJM5mdGLkCUZXJrse6QhQc+r5AXNeYOY89Tmbu7GFpOhiVC0R5O9XheY3YHmalffIE I4SJh88rGPTgTQG3E2WJ2oALMlmFOCnyBVcmyOe6vrYIywRVMoZbMjrbIJQO6y8rXBwMkbwVYNly krmDfeRUp5SKbnvcBiKPghpSJxwdr7DsexSdgE5XY56mAkJ9pftzMyJIIqeaqqhc4w0mVJwUaVA6 JjocjWNhirsKiChuuBPd0MmRBsMHVnVglts4E5HCFtEZ9JBh7Ymd8rhsKesC2PteqDhuv1HpIJuA HydixDVsCMvqs2aoxYCDQJiykp3Ak7Zk09cj4pBbKtAOAH9FwQ2asWDb71dHAWbUAJDpfxyJ6okG G9H8zPYI0lH0dJ4d4kv8Y2oFz9Iwp22f/746aj8l254b2+kkoLI12+ZVq9z4QkZaz1mNsz/liJIE x0cKlbNwNdO55z+MpH5hBBREZbKYq3CR7mGe7kkpdR0PZW7iXnYqdY0LncJsKCHKLk+QWYGMgbxJ sIiHqKoclfdPqsV8o7EIzLFM4VfUZtcIRDr7CnruofdSOPcoypIf9IdMDd8mZUMyRKTeIB9rXOgu TtZjAbZKgZqYq1mB+ccBnVEXk/EKWnk4ZTBP9pCu7kLNfIO3ss3iT3h8NuImChc9j5wRYqpxpuzu sKBXawRgcloNJV/IHb+qGmUMIlOIV2LkwgtxRUHfC0DbZdv5c9Evo0PgT9YjU62QsA65HZhKZDn1 zYidClocecJ0jQ5IpI/a4bSEN9wMIoctMx75XgJwaDmHlJ1hxFcGpJSl4X0vNckmZSVBnXAFieoF x0WF3YZML3jjqCFI202A/qz5HsTUeXYRI2YETSOoruvHHNVuergrvbIbbfFvto+9cV5PN1vEQ1Hv vKgKHB318cmthaQ4L2R1QP2gwPymxmgcCcp9YrSw35/bRF9kD+reKbC/kvrDsJgJbuZB9wh3Sye7 6906wnuqRoeM+rghjrEYet8OBZ4wiFMsncJxvcGoXj+tt9fa7pCtHWO6ctZga/QwQDMf0Rw6sYG2 RO3H8KGQBgDrTDKok5X/BVBOmhubBX9HMrg5RD3tSTRBp0cNcuaz+YMllqeHGA2o1OBR+hgLjLDv T5BwWjEXC6FYewolF9cJoxAqkAbsnyrZ8eO3I5HQ+U7Ike9qfH+mdh2RLms+N6EWTN+THdjHHeKa qB0VxMHLsB86Ber0jyGIcsrrbERuuEn3u0qjw6jIAwxc6FR6VLtQSoQamQmbtqYpgFCqzBoOfAii fZ/eI0n5ES5LlDtYlm2bJHKdWwcpwSybBjcZlQVUnFF7yM/J8gadTvP3ogLbHs9zsEUnwFJUkioR CbmI7L48ckAPT9MTaeLWMe0+v61lbQv2P6f61ouYJZp6r5zKKG5TG4yvJVhkJdSLBltFwOZ2jflx hCtXA0bWI/pmGNWOcYDEAdThAyqyyUqkUNs03sNZPoLR58idxzBKofM5xopN7PYvfYVRVQhKfFWW SNIBLuIJ9uvVM96K3YsujG0KRiRsy43ia4SjCoFykizyJwbCBp96+LKAiWKhXIS4aCKGZVN0lqp6 YFEAACAASURBVPrFHvXAOLmHqdsBpuYAD06uQd+38FWBUgZ4NCfV5QXWnxTYHCUYjJzQTgqdIB90 EB2W0mmrDiHpnwz6ILl3DhxOjdRb9BULFSVfnXb9QxvrTcMY/vIYmuktIx2OxaIzaaUQ6iLI5SSd KUxKhHfXjaICeypUvqNiReRxWpF602wjA9FaaxyUcEEFxd6yBMgI4Dmht34okN7QqyqSmK1CSudI ric7y58305J2526W++3E8FzBLNuBqQtu2g6juYGtmynn7IDSUZUc8NpGcHSW1HpjqmquKunsMvKq CeoleLk9NU9L/7Y/n1av2jqobWT1htLzdJNGTqdaIynWKG2Na+9cwYfTCv7+Fon3nMZ8f1ZhfifC 6DCCl67hC5q18AfXoIoFlF9IbaeyEbp6gVUV4MscaciEyrEhL08nWKgIcZ1hoh0uuofYCLSiGQRv /FPRU4LVYX1KGyoyZIKxskgQslr4HeoghiIX8iKFjRIE1jVEASWS1ju6Bu7eBrhXwVKhgihpTuuh 80oiLOIJpqtDbO504c5n2GQPULlsJ5UMKE/WmH55BZ0PSkRRBRM5zLsT9N5aChWI7pgsTv6/2iOw ESL5nK61dLGU1qLI+WqN8/0uwd04hHvnEQlb9K62L7kKVJcbFURVkCb/z6iiVqWS9TlKWgmGjik4 oxR2RNltJkzlcbGNplnXSk/zOTqKZqKETNe2Z0B+yYtelUw2ogbZb6mR1ZCjObiEnT/55AuSp3nz A+GXrK8ppNTSrSGpXrYOSKjsMaPDDTKDkBOhGTjaeA86nlAEvCF18zoRTlOz5lY/bMM/i/j81Gkw bfv/4Zl9U896qllTlzJD6nTyLlZU9JxnOLrWw93zpbSLX8jqgM29Gsu3LLLjEh3lZEG/iAUzgTIT lKrCx2YsURqD8XfdDB13gTOOo+RCpciB3EB1AxHgzry6L2rOq8HVRtLlSeS1zIyTIU/QrhDp2tpl OI0nmOgxBq4h44qqJZMB6nJd5E3kVdeygOxgADPsoVyew2MGMzbAQTOdYzka4LRzGdN8D7PPO8g+ vYN8M5Xa1Ve+J8USb0ZYXR1gst9ob5UmRm46zYg1AmM962FA1W8WdUb6z4LcuxoH85uIelcQWEB5 pbYdSPvspxv0KEnjGuFegHuXxGXfjHpv9c32YytRrqSDXOjP0uVkmsgoxwQo16ZpjKA+CgKpiA+0 1LSaqdwQNYaQNOPqia/qfo5HQ3V5uH4jTx3xsTUbJwH1B4zmlJCg9ReAP6TUNwnZKazxsHYfIf4F AjvYrfEqMNWjMyK1it+FSG8ZJ/aEM3pj396s8RXuhhiFYuqywFtmBb93Fd2jFNkdzuV7sQPWmwrn 52OEQQ+/jhX2XrjxoRHsEaLiDHvVEqeK5FWFKWKkKsFVFMi0RqYjbGAl9VhFKVzUQ0wgoaeTrDHV PdzrXEKqFkjqAmXUxYagPxXLxOpetYHPzlErhWXVx0XnCnTaQddUuBTfR7dcIhS5OCSdJzLxJLgK hT2Hjyr4vQp2z8DvW1BXZxUP8al5H7dPr8DfXSP/p5viDJ95nlyB2YMPkX14iPivuugmGaoQi9NK 6g1cFmBPIT+LdxPUIxa11jJpeiti+OOUkXm2UbnBUZCDKATpADbfgN1d3iYjqyUdFCgU86yvHADw La6Yg7gJQ6DstKTzhH/sKyFF8zFOtyHKRnTKVs28Akdtxl3fykhwoFCfeMR3GyxXwkbfFWBxFBAG Cu4vu5iZHopgYJMOjsIS0TN6s7uOiY4riggSJjD5TT3qZZm9ur6Le/0rWHuHFZG8vTF6kcfh9RS3 5qUQQV/IadUBVWkxKwa40Kw51Q3w7gUs6DGCGsBUFzhkd01b5GWGjGO/Io0ySvFhdCATfI9ChsTG KOIBzgsWeFgjoDxMhY3u4v0u5wXOMB1dEeWEy/P76KyzZgINR5XrgLfMXZzEGqswRqUdyuoCodqg Jg0mzaASwlMb9LPnUAvu3Ic9VHGC0nSky3dqjnB2OkL90RTZl3dFU+sbvqUcK//oFHcO3sIv3i+k DrNOBuh3lrDBQUVBhsIubYR7qiut/eLASUudKWGt7esj90fn0GmmxhUsQtFpUdDQB3TbcW1bY0rY 3f1ibLC1GtEUaCRwk1FWo3LBsWpBVCwYUX++qvBev4sPNzXeY8uW2vk+YGA1LB3XznH5eRhF9YhD YSeWDzIlXIb/n703YZLkuq7GznsvX26VtfY+M1gokqIsWQpHOOTwX/Afd4SXcHxhS/wkCiAIDGbr rfbK7S2Oc7MabEIAMSApERD7kh0z6Omurq7Kd/MuZ0H1XKNPS8Ts58h4rYnyBtt0NziCHxHM30Q1 +SZ3mYev+zri+zE15QmL9d2RkLbQ2ALTZgOdVTgoluMO45MaJ79IsfysR6CksLRJ7xG8IOgW/cfw qXhB2Oe48iuo/QadBf47PeJGBd64BrlNsUhyuYgoK8gZQqIifkbuoO9x71PkrsFhfIm07mDbHlW7 hiOYNPTYqwwuyZAnHfKuRsxyKLr8qEZoM+g7vPWXuNELfJj8CjO/lKQUCZOgBTO3UmmB6/Q57vcz 9F3A9q3F/ld36LbL70XwjL1H89932LyYYF4u0cQSy+wUE38PO6KEakSuGkwONfLgBj9DHgL+zmxV f0TQHRHg4JaMXpaCqRpmURTN4+XSRv5O5Pwdrx2OA3jDZLtWKvgJ55iAXgFNH+BoBkG9dYENDPMw JrvGdZgTLhKNbFJHZhgPdC6geCixjvLH0tFyViWI9eMTPQ7I6LVpTAUrOBPmtKFa4miBRijCXnyU jB4S1OP504P56AOs4TE26+HrvymJPSWvb45km05Q9nuk/gCXTWSGkKFFZVvkVwXSvMD1Lx3c/VBZ fGsI4JFmkilUZh/hwf+woACd7uYwv3mD7APgapJimVa4QYIzo1D6Bm1SyIU4aNwpNDCYujWe+S16 k4mlORUAaPY3qe8GZcuixNvxJXZxjMv2S5ytOljTwYw8apdj085xq05weD1CN65hzhbYxwJBT5AW PebtjRBnSxrGrjPc/FJj/3YLv/860fr9I2w7bO9PMCk22PsRdjShzYATdwOz8piUwGiWICXOCQGt YetYovh+fkQ/iGBC4auUETJwTFxHzKj8OdJKEowcXRbMv4yChSL0gWBUAYaSaUwUTIiYHFtHYqP4 AOdpgspoZEqLDDXdtdlmSmKi/Rc3gBQTJHqEhAcpnR8lK2KqZhp1VqJJJxg/ars5QH+gi3RdJy3g 1+dTD4jsx/HYw+8xqPThcw+P+XUr+Kek9e8j4exl3G2wLU7FAj09zoBs2CBXDqeLDPsLjfXBD2p4 D28skb/H94pIZTW2MGcVkvkYyZSQRlqzD/ywPygoU9ldQS2voc68VBO8k15Yg0V9CxN7bMJEhq5U oeRs6t6MYLERAb+mPJHhOtHjcnc1ZO1X6BS/tkQR9zC6x+ZsgmAH/aVR2Iu109YlKCYd9HgDjQ7X OEfo5yjTPXyeQPcKjSqwupmiuV5/R7L6brCUa/ZoVz36S4uDK9G6DNN8jfHZGrmtYQXjw7suTy4V JwJ2Jpc1/48pYTGn8L3ZuCD4J2KqWE2xNaS8dq61JDIOvBnCM5woNCcRy3HELmgRPNTTiH0aMVJK vp7fz3FhuQNyfj0JzA+8UUIjHlyIaIR6FN3jP5I6KO3mA6aTjLIXCXYfjLEtpigIX2AV+7W++zFu 6utqot+23XuclB5mWo8f5/cpGjzFbyMR23ljweF7GXq0yqK3BXRByZZENi0XH2ZQVB59PQjqiflx nmI852wn4tCMYE7nKM4rFBlNVoPMGMSdF39EWPvIeXkICvU1SY7MA/NuhZ0dY2syWGVQwqFSASkJ 0CI1MzifiAJoloswXL9PxZizyu/RlAWQsVoZNm0VKye1xQ49mhlbToe0cdBph7rsBaTIo7BO5ti7 Ci1KpJZzESegUAJbYxhI14nJkNqJnAxBuPsGjvSch9rz0eYwRI+wHWZYedJIwqJEcDfKkKmG9G44 lYgOFFtBKkDQhfv0D0CO/DmD1fvOD0sD4qoG49nhfxQFMeKj9dsrpi0VNh+nYh+3DRHXbcTcR0wo UkHxPm58gxI/ypbLCJGQUbitPT4oLcbHJZ4kRCYopwTPRjDrv7uHUMb5SuHw4QhtlkmicqqE0988 Yn8MBH1o976rKnqsXMDv+bbt4VNl9e2RLJo9TOsFWc170d5W2ImIfg1lad1F79AWSZZhfFahdTsk pYLJU0xGA3jz3f4EvZ6hzA44LW+x70c4NLOjHtYfebfgcDYr8cY/R9Pk0r71mRUjAxJhGyRoQgJH tmoI2CdUd2iQuwM22RSbdIwqGhz0GDfxFH1TYP/ZBK0t0b6oRE9cQI9KSRIQcGr9BrrdDhUA0dUh 4JYJO84RqNPNloXrbeuRZ1MkhZWk43KPMO7RN3skyJEvroaqaBsQNjVcOyR8JjcSt2XVD4WabGCX Q7stRnqHkFEmWfAcAxiTySqdirNM0AaJ7zDyneDMfkwllo9KnJUoj5wKompo5QSL5X9bMUkBdAPU U4UvMoupEKAVTqi40AIlidYmilEvmatZorHOuAgZ5mNzZ+hZI4lwSIpDUFGCuBezGjBz8nkWrWdA mFvsribYlZVU8PzuDU1QqRX3DZfwY3wVE9ADpOF9ks3judYTmv37RZKZj6X7eriNVIRQxhSJmUn/ X1IDxDrQWrJTK/Ez8QVnQ60cJpNmOEk63JBbpQKs7lGlOymKnC5FueEPPVOxKBEKjet4gc/+T8rI tLIho6hdfj5GOufd06K/S6HuEmxMwPrkHPmoxqK4RxtytOocX74Zo6ky1HODrOgRFx792xTLz8/g cs7E3hDPDO0dcreXi5VYIFYE5LTRh67qtmhMjp6wiMMKs12HrGtwc/kMWzNDiBrqBdHcRL8fKGqP MFOSYDmLiZsS6U0pd/igvGwIBe9F7lvpoU4tolcokhrGBIz6LfKeFZlCbUvs0zG8TpD5VviUljk2 +VBuND+WCLbEOv8pKrVB0d9Tn1uujb22cn1xY/uV6COTufeYssLMStwGixNuhKNC4bk51mL+K8YT /JOCC71HmSicl4nMvXZRS2Ikp5DQGGKpbBpF1uarIPr9mcbyYoF9WmHarJD6Vl5rKezfY6TBBMRq 6fuYTTwoEDwZVHy/SGDOf6dH51/FO0IzdQ3ARbkLpUHURbmVuTvs0Ikqg0JHBxO/RaJnGNGaS5Ft 38HkK4ERhPCHawrENEU4NbjHAofPa2mralJprEFSdUirDGY6BsYVElIs1kB7W6H+qxrFtCV0FPfN GXafzcVUIFtsMB1voV5o7JoZ1FaJ2gJlXjjOLmKDot2g4R1T9MKPqOrgMe5WyHQjrVl+v4d92YvM ybxY4p+r/wmb6RjhfEBYJ7GEalhFdLgYvcak3OB+foK76Tn6G4uYcn5hoDY0WAUSauNU5FCPkGs+ by/8OKpTcCPVHNH8s3YpVle5r6HvrKgUiAbUjyBkXGQyxJyOPinW/QiT/hZpux1uCKQkCiRl+PrD LOLGUa0ywSunsVUaVeSEscfWhmGjOIiC4hBYbUXkXMYwkelhmE+RmoxJSvwFjhhWwhaOiBP5UQSE prng6GbtPSYdbZB4s+XNgQmyGUBf3xEPg/Wv8wQf4uuD9If/flDkfGoD3y/eG4JLYmeaTWFjxLku EFTAcr8U7pxIiHSvkPYHKJsMyoCahhDdMED8Q7tCAzTPcwRuZ7Icbn8YZj+tg29bdPc1TNYgvTwB ZjPYvWH/BJUH4ZW9ftWjPngUdJhJPEa2loRKDS3ecW0akOadWPvKbpTYpv0dcsX5l8IkGRxsBqty L8JxvJevRjmWzy+RUgiOqpRtIvIpD3lZO4XkTqOYHfDcfYlZs8IsWyE97bCZTtEG6kpoNItcKoWQ 8EBF7N0IqeuQmRbc3rZJjoSgV9eLtZXQWxAHPXPSLRc/nuHsoJrjcJJskIYaB5tBB8u6VqR1JprK GoMSBtu6V95L5fXOzFDzJsGL1RkU+x7eDoN1to9U6SDfj/AFJqsDfQZp28aBtmI3HhESNogKlaBO B7dtYgPtkRzNm8O0WWLcrQdzCd4HXIs07KS78HGAL3xdaeHbkhbjAbrwuOX7unPOY1jD01bw/eJ7 cwb4ImeU5uU3Vwl88Ng0W6TqAOU1+k2Lll0k20bDGdcfd6gy3eLCvsVnZx8KdeJxRM6Nmj3CKwez JY5qhjhR2HQad/8acdiQSPwW/bTByUdjjNKt6G7N8zuouYF3FjbrMW1XaMkr1FROijhEjSabYBI2 kqA4N2IVMFQ9Cu9whlc3P4MyKfLzGkW+QW42yBIHTT5NCqzLGVLLWdMOie8xCltM9C3CqMNU8Ygp HMoSu65C5xJU2V7aypvDGc7La+EW1mxLTIGWhhV9CR8spvkKiapxdrVG9SNDulMRNu/eovANKp3A +gaN0SjyMRnh4os54LSANek3ysnipnA1rqgy2nhksqnWaAwTwoBI2LG1opqDpH1SfoZ7JGENbOsy P3gdcjbOSQa3kOoDIu/53pIb2GHS9aIA+xD8O5+HSCbTNe0btnlfj28S7/suQb+HKuvx5vApvj3+ KJKTNVY+aIflwgTN4Q5Nf4u2yNAcgJrE4pws/u+rSoXfuXAqv4USNdNvDqoh1Ku3MJUBzibD5o+y k7pDMQeKqsVobLDfT9A1GabzJSZXa0kQWdpgtNvh1F0jaoW3rkcoF3iO5ngHJtpxSLzcULJ1oKmE GxuEbQqr7jEudqKjNO03OG3fIiiD1+UHuA8LcW5xNLaIFjcuorIek3CQo2XTDrOEMgbAuu+w8R8N s7BHW1FKz9w1p+idxWV4g5KK7mUqKP3vS5v6swYroc0KJiwlwbD9IzGdc8JZvJFrRMnciDeGINu+ jq163+DK7xD6gKq3MAePtlN4xQ12CDiNHlsXsEiNQCWmxuCmc0Lt4c8gjELwTnwHj0sMfaHQnQOH OiDrqa/FCvqYYLhFfBfRTw3WL6bI05GAk/+QYHv4gLP6ejJ6rDT6MM96SlrfHX8SViZf+JSOvOMr jPwI6/pLNF2LvFhg3a2xX60wnZ4Kt+oPDVP+/mGm8w12u1co/8nDnk8woe3VKVCmNcrFHlp7bG8n iCuDZtyg61O4aFCke7R9inK9g5kEnBG60C1F9fIrjzvKpOhUIBTrfC5r9OrjDa73EfMyIhWsT0DR bWV7yWbYxlZmecxGTZFircfYwWC132MZOjwXjSeDD9trqG6P23CCJSzGllgdUk4SpKpFCISURHxo f4MP29/gECussICmzu+PZH41RERvWjTk0gjYd3C05kD8Hd2j8xOYbIbJ4S3mcY9KA/8tFlg3Hnns cckUXyqRMF5RiTVEnOoobTs/yK3ce4+CeCeyAAj/4FxLD8Txa9J4lMFHl6xcDbI2YvZlFJQ75Y8Z lLnWn0ZRT22eadHtygIlOL6/Xv4Dl/DxRvBx28ckRXL0g6LDYyuspyrr2+NPSiOXu0UyxbwkZeQe t24rqsuXsxF2689g7AXG48l7vyFsv2qSmkONk48Ddr/UiGy5fk/S2tz/Brh/kJChCYRFNpsj/esz mEuP8XQlPn/EAy1yJ7O2+8U5WpLXgh+0wbzDqgso0wzL/BTG5tiTM/gV6Thgmi9R2I2I9dGaindw ddS7anWOVbJAhR1i1HiXTPGqM9i7VuhEjbW4awPONy+xUK0cqFmpcEfUd+Q8y2PR3qI6bPG5/QmS xIHpzluDTTmV1pXV4I8J0sCwVmHca9z2HtmR38dETyzVygW8c+c4oxu2+wSnaYJx02OmSWYGPq09 XtDzcRxRaOBvMLRs/3boZTnyYW6/0n+n9PEkUVJtbYVYrVBwGI8BlEpbOGFlnB05hJRNo/beF1H8 Cf2HQNV2GC2XCCdXf9BQ44GC81BhMWGx4uI28eH6Z0LjvzNx8e8P3/MkLfPt8R+ie6HMCWZqhiJr 0WcO6+0asbQokh0OqxqLagHLFuA7EpfMjLiuLi7wPLvG3f+QYffLTqRZjinp0d75t84aDIEjSiIh raiB/9Uel6cVZuUdtmqKKwJ6QoqXn32EjmKDh+fIJj0+mP0KCWlK9VqoLz4tBVjqXI+988iSBFN3 wKzfypreIUUaOox215LoGptgWcxxou5wcrjGIQCf9j1u+mGOssgz9J4tD6kmp1j5Lbp0hJXKMcJv cGpLPGu+xMkXt9iGMfbPRvC84JWWRMgXpOgPyHvyVvDjiePb5I+qDOGIvaI508pWeBcUTtNPsfA0 niXqXeEfM4d7F5CZBBe0pSekjeDTjqKHQ/L5uKCoItUdeDVo3CcjFP0GY2PwpnE4oZdjSpuuiENw qN9EFOQmUtI4VTCf0E1iuM5EJfmjQe2BySs8j8DJH2dx9Xg+9U2Yq4cK7Heu3acq61vjP0yox0SD kpoevEBHExy6A67rG+QzWrgvMepHKPJCjEx/X5TdHmV7LwTt+7/9O7x0Jzi8u4WOFpmeCECTpOS+ 3aFrN7+ruX4MXspUVr3xC9zXJS5GKxRJK0x/O+sIEEKy0vArjzfjEuMsxarpgXYDvb2D1QlK9MjI tew75M0dTmML5Q9YZzOBHfAnWlquE3yqLC6ba8EZBZUhNQbVERHduh4jm6L3Fo0u0I2m+Nf1Clp1 GCUKfTJBn6ToTxK0wjgIwilcvLsVE9h01qJQ3HbawUzhxyLXwO1ciFg5L62a8P0Sot8idF9jqnpM kAqOKk0GbSwRKJbJuhLSMxKHzA7Ko4QqUNCQEBSuSjhgZyUV+rVobdVC41HINhphARy0xQoWp6ZB MQ/SXqrXg4HG4KUx0MgccXGZQvhrKo5+dyfweCv4TZu+h6H676ucHs+3ntrB3x//acpiZVriw/QD vN1dyx2vjS3cwWFcjH8v2jc4gyDIVoVJucX070vEj14gsRZJSBF2WlyU8/0I7csK+9Ub0Zp6SFrG ZDBViexsjPG4xjjdYUQHHhgBdZajg0gUX1UvMelX+NW+Q3lwOKHRAKXDr5diVbZeZCiSBvP+MBif ikKvF8uwWitsKKRnc9QFOYzAxpSiiEqdsQvSSficVIuVGuHOBdlknhU5rG5xLlWXwyRLMEm3MK1D XY1wyEao1B6z/h75ppXPh7wT+d5dNhbD0R9LvuKLwiQzMQaOlmWEHLC9V8C59ohG4Qsk2OoCP3NL GbznRqPyEbtaoSCgKh1klJkj9r2Xgf3aK5xYhYrvAdUYyEygYgL9Xa0RCNXaBPjeYb4DTqjBPhFS BOKBVfiQdIZWH7i99Xi+J0ZCiYzyN/WDj6shUW84whe+Kdm8D8bq69isp6T17fGfKoXIy+iqusCm 3mKndtCWQCtglI6+cSDPe+x6skCvyJ+zcCaRtb5Ri8Elx7TY5yOUGWdlBnE3Rrcb5CSJJjdljsKc wf60QvHxAbPiBonh6pzWLpxxdUhp3RUTBJUI5ukKragFkAa9jwmqjZNqMTk1iO1O2j9WhcPWabjQ 6rTCnRmzFwbZfkm3R0cnnOJURAUXzT0S7LE0FndHBPXPZ1o2WRYBf20drvk9yNEHi50eo8kKGeBX 2MIXCQ5/NUIWa4igitaCfKeq6p/VhOL7hEjLDHbyDy0P2zq+jpwnFrHHM9yj8yl6RVYFCdHsmznX MXDWCTDUhog7xyQBXGYJxqzaelZZx5bu6IXKEZ+odIvOlULSeZQ+wo2UgIJFpZSGqFR/eJRQProh JodGFUfMhP3dU/KgsPDQxrHte5+Z0/sSmp+S1Z85YdV1jeVyhaoayRtbFIWw8EtT4L5ZwqU9un2H whTY7/cymDw5GQYHm+0Gzckc6/sVRkVAVe3FtnyfrPDSX8HFSi5SYpnEEWWskUzHML5EnDuklxXU LodZdDib3ECpQbI2lZZKC8K9JJiU9RarF2EtW+xtgZdye+1wdrXDjRrhdrRAHjrMHK25tFinO5Nj n01kg0j4BTdexKnzsYvQwri9QBw2SYWR7bB2GgcYUV7wQWPtJjgN97jYvcVJYvAbc4Xb5kQS8cLe w3h6MSrUSYlukmLU7zBv2A4HjLoNTEJ+zo9jVciXlmao/JBKQhlxtSaMQRQ3aENPqEPfiQsYjT28 oZtQhn3SwVOU3Q90KSYgqjuwjSP84YbqFcGAUu7iqnNMWnT06XIjr/sKe6hKYzrRuFBB2ByEopAU /e+SPh11mDxeR/gpbdfC7xCdH6qmJ4T6f8GE9fnnn6NpGtT1BKvVEmU5wvX1OywWCyw3S3gTEHxA BovddidmmM+fP8d2u0XbdSjPC9y9fYu/+ajE6QdWBPemNoVPMnzSncCFRAa5eVIj+8lBLLDEevyE NuUrxDCWTZ3WA+qeBhYEMLbJWGg23BJaeDFo7ZMcbzkTyyqseodz3+E6z7BPSUyuRSVimy+QEFSo Ag6qQtQGE7fF1HciwUy1i6mvMWLb2HTCA1Q6E8/ERCfIWWGJ0UKLqV0jCzXMzqOfJmhcCdcbPNvd Ytqv0C8SuHQwmKJqgAgJE12/CxhnB4Rzcdt7v3AO+v4OYPs1Gz7FZMrFhm7DIJInfZsVDmfM868s q741mDyaBmjolnh8JsLnGhQyxEH8K2+KAbVJRzRyVN+FRLZ2z1SL8aO+Ng1Btod0D9u0God0Bl8p ZL0Tjh+NOWbJUVKGVYsCLtNEEPP8T5MYXDv6YXOi5XHnIraeHR5F/pxATohZIdCUunyD7gx++9yp RDLw0n9Ho+rh46Fl+76t21Pl9CNJWGU5DN7T1EoFxfj1r38tLeC719e4urpE024RkgMWMx7uHFor 7HZ7nJ6dUlgF1neYpQWKm4PYRdFlZnq5wnxyi9ZTqSGiJGlYt1AF+WVkkXXIE4NFWOIu0JqCFzgv 2hEOboSdm4rCwyTbYpxsBtMAXrtERTdbeFPC5GNsCHL0DbTvZVtY60z+e+oaIcj2SSk/PbkpIAAA IABJREFUPyckorkXza1paESRkkoRrI4o3cOvbYNGG/ywbdQGJ1ktSgzBKjgaUMQcC3ePD774HOmq hRMzjwKHvJKfPT5sYF+6gYP40eXvmCB8V6iuhf7036BMg/C3dAflYTXSFuk7L2BJkS9NLMKzZwgv PhAu5+8NVhu3N8CXL6XVk2KFssP54PJMuRex6qN3YwqMPjjgzBrUnHV7gjuNVERMu+T+kUoj2zq2 jg4wbY/TaoXd6BJlO8GIIoy86TQK+ZJ2YgqBOGE67ERgqTLck9JkLT4NChvTi6pGdD02xqKEx4Rj fjuox/pTj7COYkpBccD+uRXRx8lnB4Q+wo866O4VcHOPmETxoWSy2y8qNDTyJce0XSNJLxDN8S7w FD/uhPXixQvc399L4mI7yA/+/erqCpeXVzg/P0V0d3DtFzgouobOUJgJnj17jizPUNs7+PE1TniD /k0UzIzOA8pyj+nsGivFDd4gVdIRc6O4PXKoePB4RzQtxjRZjBm8r3C7PIOvDdxkqFhcsNAlWf6l iP2ddVv0lHMZlaJamvqdDNbXZozScF6hUHYNqnaFaHusU4u3yHCpHcb1PVR3QKq88ONYvUy6NbRr saWYls2RRy1zlqktsGnOkaQjTKZr6OAwNWtMsYQxDv7SQGcBuW8EtS+6THFw9YnTZwgnH36br8w3 B2cyBf0UGyiahn5KdY3jjIcZhC01rwaSyA90N30fGH1EZCJcEcEutctQXY0VcKLQ0J/QR6TcN0wI pFSi/kmp4jkdlYIDPXvJR2UiIg+Q7R4H6knIkWiHqd4h6e9RhEZgDInA1flzyfdT0JUSxQrm338l 0FRPcfAj5HaPd1TWsBpbdGi0x1xz3n5ApvhLe7ixgxr1UrHyubpThbs0R3XDVpwqDj20fw1Dy7uj om43s9iYSxySkZDR0d3AUcwmm3zjLOthXvdUYf1IEhbfxNPTU/k7ExXfwF/84hfyBk6nU/mzhccu 7AWzlDStVEpFnCDLMti4RXFqoO79APAThdMI03nY6GG0ReJ6gRCAonfRDPyvI2p4qzL0bo+5d7iJ V6h9idw2orJAdU8OedftDEnmMCqJsXopmKsPmhuZiVADPugEqaVI4KCvxG2XKI+4bgADkrDcr7FW Q+vHgfvn+ifofIaJ3sDoFdbUGg8GeZLBUi4gZtj3Y0HJb9MpTg9vMcEa3STHu59dosQOpa9F02ud 0QMvwKUW/uMcsfgJ4rFyfe+gQN0HR0suntdt/B2zXFZGkcqm7fdgf7J8olor9cGCR8d2/IICaoCm KTd/FA0exNSUBHQAlwprlcrCZRprae1WVKyl3aOGbPpKn0jCKIuh6qIDOMnnXzmGdUMFx22fGNqK jy9Bwik052LqgFFCBQdWawMeqoxGWtAmOpyR1MxkSX96StoQKlEo1LpAow0cjVjJeKDLTjckVEor hwugn+bwaSaYsMrvRRLHH+WeeS1807bwKWH96eI/3TDtm968qHgRzJHEPabuFnV7wCHTcDVF0XpY bWFHnZheUluKzzrJnQy2NcnBKkFMEnFk4fYmS4w46nAL5Vi2uz0KlcjMikapFODrIyswzjI0dm0F HwwuSiBV79D5Vu7E8iz5XE2GteGez0C7XvhtBK9yFpOqiHsY/DJWmOUFzjgTazfYqJnos7N1KI1D 9JtBx1yVqBKHt4dcqopc1Zi8XcFsPOJfA721yJxCvm/hMjuYyZpU1vzL/ARB7wBzC60z5Mwy7//C E4151Hmh8BmHREccEluxgpkBiLVAcL9H0joOnynlUkf4uyiATD41Jhsx2N1EGIpsHGdOYxXRUuk2 QlpBMYhlLuXsilCSaEW51hL7EIPMDOU6EWSWloowWfvBQZpCfESUkCStFRwrSdtLtUb8G68DkQnS Go1z2Ogcd9Zi3Cxl+aKfG+yfF7gpx2iKEui2UCM6PXMxECVxse3ki6SL4XOMzDVIfTfAWx5cXX+P 4/NT/GniB+HwmMUMF/5M1AicZbIyWFPxU1Owb451E3DWvMT4UgvA050l2J5N0dsREt5VEwutHFzX C+SA13kqUh987B5jXyNVBoVdY6/HkqzMUdaWVBgeAqqkbrsRTHEq3ZPxO6F5WKWF3sNhOrWZLGVz 0hEcOWqUE/M9plmJfZIitxZVcw0bO5ymNxhnW6GeND0PEkURuZka5lcjUyJDh/P4TkxAeFIXzS3i 8h7ZqxZ+orF8MReOoWstRvaAxtJvT/ygMe5/jYNZYBxPYR/KjN8TURfw+d9D9y+h8Bbh535oDT8Z jGPjYmiJmLTIr5N1/neFYAcSoUBxAsiKzdBR+YQONRFmG6G3QLIH/FShnw24p+A4ImeuGQQSyc3k HJA29Im3yI7uQOKqszrazD8kWaLW2ToSlvAqStLqP0pxP53DhRSbvkdlUwTvUBOfxzkZaTkhoCJ0 wu2hzQghSaF8g740uC4XWCneABxG6FFnHDMMLa6Y59JoVW5czLdMoA7TdjlslrmufGr5/rISlqyp o4VVJ6iTHCrZYKKWmOzeoF92aNIThNO/xT69xmEB4eL1BzrrdmhoFa+BcqQFQFh0O5FNXsccuUkw cwcZksPkKBSbgiibQWqniz56sFJdsa5IEwdvRuBs9XK/h7Y5NmaEW1MiMVrO56oz6PQUl6kRGWVv EqSiWEHhvkGZlD+jiAeEhAcZMASVZqm0DZt2hNt2gbHd4hfmn3DS3QCTCPU2oritoTY0VDDY/NUc t/oMq3Yu0AtisqjZNEx5gCmTm3qLmP3PgH6fgS/dqRfi/qNUCY1/E+FGNQbifqgixDKMK/22haLF tPKS6L51ViYtoRWTWfkK0jGvBu+/8t/o7yfLQim12HKZfBDXmxOycCzhWIUxYbHa5MKRyW9UKVlE fKKfY1wFXB7ewb7poD4LUFeDaWroFPTNULGRxP4mnCNTPZ7ZWhaelF7OeFOKwKYjZ5S4N7ILxkKM tsEPSqQ+CI7Lqwan7Y3MQ8mKcMHJ70ToAx2jNedYlMf6wKE6pzlvDc2S3kX4gqYrT/EXk7B+GxpF HGPhDWpsRA65mGiM4z22d2+wsgu8TgrMfY1z1+EQLXSqYW0G1zig2SFt3uE8B95MnqPVY3S0/tIJ 7nSFVVygsDUuyrfIVIsuDoNdJpEqu0Opl7JJ5GwsSTL8avQCURERbyTZtJ6GBGPkccPLWlqbot/i jh6JOoEWlxXScbS4Te/tYBLF1pQni4dznNYwaoVzXOOEmCoxyBvs06ktHhON+qrAZjxHiIlAH575 L3FS30J7j0NWSXuonEdQPYylUd/7vr7suyyifY6+/wK9buBPI0rOs14Pcy59G6Gnb+HSa3FCTn4F ObCEOYT/5X/93dkZE8JhD29aqCtWQBqO86qeonmQwbv/iFXh4IpDQgOl6u3DfPFoSEF0ulRQLoHN NbqilFbqTf03+I3KcHf2JV5MX6K628LAYzOfIiw0Rqd7EdpTGfXg10gIOCWeizOrrsUL1eA+plB2 SCgEjN5riwWH7tz4EnjqDvggrGW767MK/rDD5FcNulOF/YlCReoQNwPLYe6Xth1svRQfQ7WMCM+o 9vDjwML9V4gfWMIaogglov4I11R2CFt8sP41wuVzuHSGhQA/J9jQGYcufRxmNztE2RCmWIxeYNfV OOwMNmGL2azE57Of4eA9Jvq1yJtst/c488RA9Tg3wyq8jgVG62uUvsWuOBF973G/wTadofceDZNF r9H0GdbhY0R9iovkc/w8vpUN2XVzgVm6FPgB8ULz5k6AnlQNvbHneNddCn/wpLzDjCJ8fT+gvGEw ySLCLwbhOW8jCrXHx5tPxLxV7zzMPiCyAsqAot7Cvwwix+xY/LB9/b4vsB7B5P8Av/9/WGPCjRWS VUQigpw8oKw3HZoLIP9rDf9JgE09tA1QtDQjK4ElZbxFOPkMceZlwB2XQQ53Mlaofx7kc4UBioNC /DQg/NSgm5VicpJzo+o6QbnXjiJ7FiMz6IWxVXxXXsmcsN9ZvH75EZqrEpc/eSOa9rPlnVhIf1L+ QmZML5IvUKQJXtcB57rBWX2HInRCmr9ThXALBRx8FIW9jwmuzRy57vHT0Iq5xT/rMXx+isInqKp3 6GYZupTOFpth88k8vQPUPgKvgfYXCd7+3QX2doRnFH9w3bcqiT7Rbf6LJyxGGUpYOvc215IEDnaE WXOHTb4ABYwfDFSt0TAVDVUDtn2Pz1seAAPfOTybnMDtvbjocK5E6eRxZtHlE+zaHqpdoelqdIcD tqNzHMwEP7UdTDaGDy0W+2tsQGzO8PjjlEz+Dqv7AllZoJgWsH1E1W7Q+4+QGK7jieZiEOxpsNMl 9j7HoS/FpIPD2jLuZQ7iqNcUOrA55UHSkenjSBfRx2Ez/4ECr0d9LnZh6plGZykFnMDowVPx+0ZM zmDLv0er/gWxqOEsEN5G0Tznj83eKqm2uPGz5PGRwvTF/43k8wZxXsL9YoLe3yCGRjZ9973HqNBY pFqG6xyoc5bIZ73NAmY/o/EgPbcc0tUW+bWHnVAmOmBHlWpKwPDfjcYyX2AfRsgpbmgSBJMgIU2p 3wp4t48pivaALHZoigJ1muG+T5FZ4ItmjDL7CCbW4i/56pAhV2tcZXfYCFDYIKMTNG22aDSSlLix Y5Q2FyMMlRdwH1kZqPOmIq8VmVwLQG2GpY/PI7zVyGzESfcaafpCbPC+Tt95kI950MJ6ko35L5yw GDZmiOnP8Ea/Ey++OzNCcgR41t4jOw5UefdktcSL3Vd0TaY4X8TLOuKwS/C3RY0rWtR3Bv1+I5se fr9o4HFxRoVLV2M0vcAyPRPp5Av3EntuEVkxhQ51s0daBKTFCOZciaRxbhpxusljIy49GZqhKqI/ Id1udIlbNcPGjcQ2vdI7nHbXmIS1QKlr3+M6kOYzDHMjwaVR4UI/wkDxsPDjqM8SRPNXCeLbJQW8 zv5AlRlm+0uk4nn4S5grx5EV1BLoPQ0jItSVQffhSAbL2ecbpP9CY1lCCtaI2y1tmuU5cxZEqy22 XK2lxRa9ISOisYgkn7sGwQbom4D0sxaalRxlh5MIPVIo1OAhGHXAOpmgMYVIY5/EBpPZOxymlPGx uMvoxwVk4wZlu8WH/lNs8pkAdP/pjj4DDj4sMO4mooPPdr8PHta2qE0J73u5SVAmm69wZyxeZ6fy yl7Vb1G5A17l52gxJEi+R4MlQRT4BD8CMWuFRppQfjlKNS068I+WgY8NUp8S1V9QwmJEVWFDqoW9 hjMlGvLJAknLWjZAD5H6HrtQyPZnbAeZYR1LhJjiwnwC7yP2SFEZjxHnUoESL5XcaZ9bjyK2CLs3 uCvPMAk1sn4rypRUvpz1O4z1ATudodE3uEoOaBQ3hakkKBOc2HPRDXqbTbE4DHy/sdviwiQwmcVI O5yEG2kTWYWJ0zRlfHnQI3AfUuzzOfJui4TYgsevAWFMysqcjLM0WlcxUa+KC8xpo/YHE6ANlDlF kpzB52/hP46i0poeuPzT6M4ydHkJUJWiUoIsp4Uio1cW62wqVaRyvSQlJv7Opih8DeM7bJMSd6NL VN0Gfr/G6OUeNKFhMDmmK2CcW7QzBUPCMaEjukLtM8RgcNqvMO8o5RPQqgyfhZ+ijiXKsIU6KFjv 0Z/kWMUzuZRXTZDXk1CGnG0ocrTpDtueS4EpbLIVw9axdgJF6AIflzZuHLprqWg5V+R7mqgSabAC oRC3aGIATYSes9rS8ElA5WhTln11M3mK//j4wScs7sQuMUIXSuz7DKuO9+8tJhkVEazAEhhbjLHq JsiJiC5W4H7OmojzogatAbt8hiqtUPZbbJGgPjg0eoJeLzDz94gtnTs5e3orVI9IgmxBM1geLq66 JwJ/OG3uhHd4rxPUkY0M79S/vWjFJJ3OUG1ENq4x0lZUU0/NDRbdjUjTDL/XUVWAh0Wn+MyeYqRJ 4D1IUhrsMDiwprUVrc5SLO1EiL3P/Q6mmEg7M/9mV6n3D50jJh/Ad1t0egs9BXYTpjI6zzSY1O0w a8sD4sfAbKsR2SIWfI0GgnIVemnPBIbQO0libL24UDBs1dMJ8vUevj/Sd76qFqlQqxHyArcE1BqF O5zjdn+BQKBnGuFSJfNAzrOMI+4uRaB++3Mry40uT8TEg5dyHw5YmAkOrkW5rJHvCpQf0dm7x7ar YBzV2WtcpBvWp2iEBO1gbIZX2Rkq10hlltscaf5TqDiWEyL3gyngPjguTIkoRo2MILaU1dXT0P0/ K34ECQs4MRG9O4XzHGQa1IGtYIY0MmFxgwfs+gRdr1ASUhBK2RiJMScHXeEZtFlgGpRI80bTYDU/ hfc5tnUB3SaipQ5TiQfhtulFzqaVgbaotWOFCqVrBNXOTRU969qkGPiFSfGV1MywweOshnimKNWU FZfngF5ROdRKa0LJP9JtaES/5d08Olz0W4zdRkCODD4mlR74XE7bNQ79Hve6RJNPoW0x+Ef+0aGh yYOzV9g3NMAd3LypD8W2mn8Kv4+qEQuaxU6GLSqIa+pEBDEPLXJaxROLmk6xZxvd3AlSv6ExLQGy bQ12ukzEDE+7tULDTyx25TnedCUu6luU+oAi6XDoR9KO52BF3Mpr8aF+jU06Ex0ygoBbnYBe2mW6 RWK4zxt4pEyWvQ1IrpeosnPE85JDQWy6HjuXoynYgh5wmtZ4Hna4D1ocqfk7uiTFwZQozQyRWu7f moueoAx/jvjBJ6yHsND4wAKXCTdSVmwG6D1HigRbKgINNqpDaVJM/Vw2Ql6sNEnNOAe/YwBFVUhZ r4QaZbjDeeIEba7zFB3tt7Yr2NTgUJxg3NeoD3ssVSoHk/OYTRih6Naw3Roz75HCoTWpJDragXG7 mC46lOkeuvOImRMm74YGFkjguhrO7zENLYEbUqHsosVVt8RIe6EnUbOcwRbL9nsYtii+k5t5nhc4 KIvRn7INYatpSOLm/M1JknqoAJm0Hl66xCRwSYaiH2RzWE1yhpP7ViopJm+vrXAvWTlyQ9rrFMYT YJkgyTtJ5nxIejH2pI5mERNDZsFeyOO7kYMqrBh+UGVD7Nf4+7Pt7vfy88T41vdyA6DyRh9HMMqi sgm64FAmGXRewLsdsruA0ZywkyhKrq1XaGhlb2qOAlFEh3G/Q5fOpBKkI3dx1OZ/ih9e/GgS1kNQ v4i6f4+nnNxGLRKNRTL4JUrdzi3VN/16KkeqzjD398jaa6T9vXz6kJTS1mRpAmcLzNUeSahlqB1K 0oY0nAu47ZnwDIrQozz08LGHbe4xLRtsy1M0SYl1GlHWhHcTkCk+znLIapNjR64ZMU2xg293cgjP AcxUD5+U2CYpUu2RsjJjknLN0EYZi5xQC2LOvlkI848KkVthS/cItT2YbgxteceZHGV4ajanXtjG mghbJiAhBTNZJTKvYkXJhMVKiIYZ22QCM/UonteIL6MAVXtmiwkH7h0qdwOtA/zIwNsUc3ePk3iL 2+QMnR6I30xY5BOSocCWcs95osnFQZt8QdICyUJIVSYzLIopFtkcjlxNW2Pfteh8j1yYAmRBWNQx xb2dYHwkVq+SGebtCmlbC6H6aTL1w4sfXcL6U4Sg6uMcioMJkYvzKNwBnU6xLE6xNRXGbodY5Dgk BQzpJ/xGR9+KAi1KNH3E7aEXo9SZCTAbnsIlsmqMXmu0E0IxSoTMDPgfDnTdDgt3QKNTbJKpKIZe NW9Fj4v0n31QuM6m+LQ5YKQynKMWT0Zy5A5JhfukkmqDtKMhwfyJ0hZbXzF1GEY0/KD+OseDpM7w 5+dsU9kuUsWBJg20yCJtxh8lZVSAnnYC13hIpzSQZeJKeSM4ui5zgO1pD59FmELB0icw9EJ+Znak tyMTnrTDdiYzpm+KzqRYkaysEnR+QM7XrkeZGbTOIe7JXJjJNtAIQHVobTmUJ3jX0nIsBrxBhqUw nYm6UFK1UePsKVn9MOMvMmFJCOL7BSKF5rav4LKAd5NT7GyF1eEKt7rHfHQv/ndp8EI/SUxEGWvR t1qnE2zVCaBG0noon2DkFOzqHp2msgJ11wsBME4pMcPZGh2P/RbOKexUJ0TnSqShE1xnZ4L1IkRg hh7T2KPlMF8nuA8BK24RW48Rkf2SPNgutpIo3if6+1vEly/hXS8kbOqqEy6xvxpki3Vs4GR7OVjF ky7DxCWYt4Sbvx4tCeWisx+hl4PUj7yUbUTataL2wLPP+4A/00ImZsI6P7xBSarTuyjk6t5G+Am5 ncNygVlF3dGB2cGMnWRMciYJLSC/km3g42Di6Tg2P2LxqInGSotbP6VvMNYLrBoyASJsnqDIUpFE ntUF8olBNW6RW0IeSO2iQzSxb2yFtdxkJu4BS/cUP7T4y01YPCh6jJB/DN000N0dOnoPqgQHX+Ik u5MtWKIf1CbFvwwd2xMotLGESjIo6+BigYM1cOtrLNoDymyErm5xWr6VqoWtDHWtOHzm6ty6iGK5 hj8x2BVjrNIJ7qmcSvsyDqi1wkexxRuV4tZO5TCRBUOcExMaqyvuSi+aG5j8o/fqXWzTIFy/Q9IN 8xnBWZ0qrE40drbAia8Fld6GIVEJ15e5hFu+rkUicsJEiwGuiSAjiCEvy5FaROqKSLKcsq0cFhDj /RrjTzdAGUWBlN/fs6oaRaTpb1tPchrFQOnR70KO58M87HHQEfqgUmk3PVt1X4hUDN+jdbfDImtR PS/h3QhNwY3ugUKrqFQl5iW9WwhQvw3vcHANxgkdmAbeZ+0pAwQMko9P8UOLv+CExeCpLBDHF9Dd Cif9EnuM0RYrpMlwIgd0+SBFzEPRqhSpzdH3FoeuxLqd4mL0DnkWYJMOE+Ox6xvUZoaUnDPbQyVG TFaZCOg+rJIAM+PAKOLOTrDh4aM6gHc4IYF4tMBdrLDpPZY+UhNCVANO0hSGtlEUJiRqft8hsFJ6 j606AZ+sZmirRWQ9V/P+ksDZCO0d9oHuMpwBekzRiTzLQ6VFyeLGK1R0WOYToXAsoey/m18kiLfE mwi85PB6L3Qjcv1IJQqngPsyoCsViuJYHekMq3SMflJg0S5RuEGVlkYcr/7lBZZhhKtnN7i6f43Y kpgcQSU+NYvovMWum6N1E7SHFUYvW7hwwPLjBaZjD/eTW/w8v8NLleBaTcEsm+acgM2xbU/Rhg5J couWhhLdFD70aP0ScykTn+KHGE/vDA9ZegGlOkz7TwSn1Y9TaUkYTDJJ6AYpY0oiB97VvSgoZEkn ag+0C7ttHOZpBbgOfjTHnqDVZYfQN/DWwme54Li2CdH6DufNrUADXrYea7fHh1WF2gQ4Q5BshkNM 0clgnpZiGtMsxThJkFIup9sJtotby2jfT8iPNQoJyLaiezYNQhU2ZcS661ElQZyRl4Eb2IhNVDKr oqtP66PYcZ3aBJZMmU/CIPz3TfZXIsUMKO4xiBBfRPifE5waoF9HxFVES52s5wlsNsj7eGNxMDPs wggjijVGWtEv8MvDP2D564hXmx2Whwskpz1Od+8o3o9tdoI79RzrZiGvzSi9g7ItOrXDfpLhJJnB LxOMywNOqwZaZTDWI1EO05y+ATW27SV8fI7gR8jsNW4OJc7LlWhosU3ks/sx+dT+pcRTwpIwCMkL aHcL465R9RuszMlvizCKAvo9bsIp1v0U43QvSHqre5TmILOTTdvgtJxiTZuulG1cRNoAh6aA7jS0 PyCOxqBHD81VK5PJ3MX5iEvUUj287YCrohDKHWdHRo1wkReofS1D6bzf4bS+5bAHNTW5jg487xMk zvifAN1cIbtRiAuFmQUKa/EFCnxZH3CCHkkxFfCkq6lzT9dlJYj8SDG7WwVF4NPXg7AHFmcU1CuA kAPtNMft+bn4DT779EuoV4MrUT83SCydkI9D8H6Hi/gGJjsns0oeq1MZaleSBwPXOtz86wb/x+EF Tv/mY4SqwC7mKP0Kc/sOKmFt2mNSjPHmssIsTPD8/53CeIXVc4Vfjv9HUb2gPb03b3BwHQJV/7RD EhcCGZll/Hk92kBtM4PUid3HU/wA4ylhfRVslzg0zrBJKTHJjVaA6RtsOIjmBq9rRLWSfoatO4PG XHwS20AddoMDVU3tAq6vsMAtduMrrGyJeXuP875Btn2HIqvgiBAPHnfVKQqK5+kCVX2L/y1ucI8z 3PSFyDZv2oXstk7LW5R2jW3QqMsrmCQTWRTbb6D+r/99AKqylTxTiOesjriTHyRaKA4V6TI0vQXG 5JgAh1GU7RxZAtsQUWuNmQoydH7XO8D1mFMWOAILO0jriH7VB0p+BrgdpOgUZ/+8giqF/sriUIwE i0VoR60KzFf3OP3VO5i31NUC2mckbuew9kg94tNZk4fY4GR+izQOc75alXC1Qeq5oaUWf4ft51uE 9gyn/+jxi+qfMWpvkfhG5leEpExmBoV+huy/TQaoRRKRnhwwLZa4a+i4TX9DAnbpgehg9R0m+lo2 riS9F5MagYl6t8bM+UEn7Clr/eDiKWEdg2t0n46wTlI4lYktPFUYTnevhHj9MpmClONFBpwWBru2 w6GzuNuf4mfZEmdFJkavPmS4bxYwpcOm4zSIfMR7HBrIXKvLxpj1azFNWLWtILZrJgld4JnawTtS Wwp5nMrukNAQNq7xerfFKE0xSojuDzChQ19qpO5edJkoPyPEx2M704ltTQJTeSy7DqodFvuEJxST wSU5OIUVEryDwUWSo9IBC0Pt+h4ZuZZJjto3sjQg/s1lgE8j1iXlp4mHM4g2R7CVgC6ZrPi8iJm6 XL3C5P9bQ6+PA/MA9Csm1R6Kbjd01DkMulmq8hi5wQCXkbsNgl2iOQcmfzVDt27QvwpCNO8PAd00 x644E8CtNblM/d8eFJq3BBhHhH+gyUiQadwXawulHTJzwDQ94GO3xdXmHiYRh1Woe7527wZFDEq8 v4rAXQH3j0+n44cYTwnrGKKX5J2oCGSxFeT6tF8PfD/6HRiNufFwRHA7hYt+iaJ+HE5RAAAgAElE QVTxWCVznLgbcdVRwYnq5aK04iZNg1erOkF1B9NzwoxifSva6vvRBXLi94msprqBybDUC7zTlYBR r0avMYrNoGAaHF6nExwIOiWVLQbBZDV5xPP5O2TriLAgOfnBXVmhTyvBblX1RtDroogKbj2BvYvY +CBgy95mQiTft0eDUr/HOHYy0yIGga2g1QZrovU90PjBbYfVGZUPorJosukR4d5iQh2weg/7mYPe DhUdQ7aLJKunBrt8itQdkI5qeb7JMP366qKsNztsX32K9pAC6QydoWntHs6uUXlyGFOYmGBbJ3jb lpjme+y6BPmKvagCrj3UiE0wkewTKtSI6uvINDD7Hvraiw2bfMEDYoKyyxTpownH+8hDP8WfJZ4S 1kNQtWXV4hxL+LEWwKKoKhglm0GaQXDeQf5e4WpMru8w/U2D04t38DOFjJ7OymMzO8F9cioH+qy8 kbZyShqQdfC9gu8SrLIK60gqTAGrN9DHRLROMkx8j9AvMfYHTPsdRpGqB3TNPsoQC/DVYdxuUDak RXO+xGppgD1wpuUUdVA8zrY3sGuHcmSxsRab9iDr+prKqDS3STQ0QZqxRm4jpgLSHHSiuB0k6Zm7 zVtlUehh+M7qLTOpyOIQdjsj9CH00H2LeX2LrGugruOgpTXM1SV6UnfGObpqioPJcbrfwVCXPVfQ JJsfUxaFY2/3QWzP9E2K+s0KeuSRnTpUzy0uzg3mhy0md/cw2QnuzSluaUpBKtYLhfXlAU3WoQgE ftSo8oBJ0tIvB1ncwjS9VKSEYEikxwUBW8ALPgGFyKT31A7+IOMpYT0EwYv3FMXrYFk5HLmtUtHA Iel26PUIOQ+n38OkHoqmCJQR/pIuLp04Ma9O53i3uxAtpg/Lz3GCG+TdUlDjjQlYmRGUL+AOLYzJ MSpZCQS4rhHIwkX9VvTCOTNiInN0iuYAP3rBgJWxx7y5FzG7ZBmkKqC4XLykTJb4KwO+E1qPSBWz PbSpSL2Etsb+mKzmSYKVI9BSQRuLe12hoy+j34tf0Fan8hh8vFd2jvPQIFEHQdof0jGWMUFOUnpq YLsWk+s18rahNY5sBL+qXI7RWo3dnC1kiqJeoth3SHdqkFJmWzgUOfhyDdzuLJo6l0rOLHpMzja4 OOlxcjlGpTQmr1ZQdwrd8xOkJWeCAVW6lXla6iw6ulyrDmfFBuf6HufNGkYHVJ6a++1QXT0Ee3Nq s9dHP0X5/xMC64caTwnrGJH6SM9S2DsFfR0QmYyOwRnOuN+C4r0zOJGwSYgtulTQLyMUnY35/0Ih iw1m2UpQ2mftW5GuoSlpawxuaWjROlz4HnO3Q+XfwKsxfEqU/FqSwTiQ3MsjI0I1Ar5kApurFUZJ IdxCak/JVyzInRGmDBxNS4/ta8GRGJkwHNMcqBja4VITswXcu4HWUor9FS8AD+3rYSspHEAPpzPc JGOMcBgch/oD7kyKlEnKpmhMhg/cHleuRrXvoW6DmGgI6J4fX0tWxI0daDpYKMzcFqXfQhMBMtZw yeBg5NsO607jy0OFdVvJ+5Fe1MhnLRYL4PS0wpXawO4oLa3x+tlz3M5OUBiPc5qtxiXu/CU1JFCz Nc1q/Hxc42xTY369ZZ8vLaBa4ytNr6/ee77O1On6VZR/i0SKvB+B4Cn+k+MpYT2KUGs5eO0H2SAJ I0hPct0iZrbDFGwthruwUILZWqwG12QBzm8DTttr+DKB7RuxMad7NAGiFPmb+AYZmdtUIIgVzHKH sruBmhmRSiYSXA77ZJAMjpFpZECez/ot0NM2jGMaI21qvhFtYeiS64AhuDGkNbx+d8xe9FvoA9QL Kt7EQV+rOsehXYpixI4I+m5wx+YGTXFwTn2nQINQzuJ6TFtqA1P4joe+xxud4cTvUXFj+vZYUX0L NotBjfZmQYUGDuQDQpKLBA1T8o4uSV2Hbr3G23WCd/UYrUuFplPNdjgdAxeLAtPAxBpwSEuszmd4 bS9h0x7jZIuEpiUtgZ8E+LJKNjjJeizqNar7zeBsTbkfuux8LZnyhfPzBPbOSbX8FD/seEpYx2Db la0bgHMMkoB/Pbg7EEVOhUlNvay9EhuuOFFyR9bXBBYdH4CHlRQe16I4vIP2HTq2cVQUEJfgDs9V L7OwtQ4w9QoYpXDLFmkWsRlP5DAb55CCHMGjegIfm5XBfYSiHZcF3JnCqhrjA3/3lQMFE5XMZbYQ +6sHnl+nFL7Yt8irCm6a4VXIsFAVrhOD4Gq8e3mDpMygbYK+SLFaOWz3PdxJjn48wkEXyLIWJ34D HRp0waNqt0h3TuZUUl1+PQk8Cr4sh1yhHnlRkNp3QVrQPqFDqcc+aKgkByq2xRahSTCye0ywwaVt 8eE4xeSmQbJ2qC9KvDr9EK/dOZSOGJHA7CpJcF7vUaRr5FgfKVWN9Jj8nWzeizzzN1VNhC5QZdWP Fcznj97Pp/hBxlPCehwnSsQb8k8aqRjofxdpAJoq6CbAvj3apJcK6j4Mc49HwTW92QRU3Q7RRoQJ /fP2or2+ThdICUkwFolrkdqAlSqQhwy7boOmOEXMIspxh5PdNWzfS1skCge0CPwSg7VUAXQnGfZJ CT9dihIBn6t6PSQPqdIeH7okwTI4NO96xPuA+36HV/tXon3/D393hdvbDvuuRzGucL25xyQvEHY7 7H/zFn5UQaWpuFuf/TWl9Oj36nEVG1gWXZzRfwdu1UWP1TzB0nrZKM48DUHIrexEfyxJKQIU6LqF k2cldO7hVnuh6Xw8sZhYBcVNRw/43mAVptj0I8zztYg5MlnRZHaBd+hDg02SI0sscmuE8uOTBPm2 hqaFz9dC5mcaSN45hL9ScK+omPokK/NDjqeE9RA8eJxdcIZBAKYM3QcSr+FwmjOhGTuLDN4alC09 3R+twRj1oIdOhDuTml8CrlK4S3Nca1JyNM6Cx9zVotRwyCuEsMXUF2g2W6SjHOPNBslvHDTtpB5U 9Ag5IMKcc7KRQjsaQSWsUgwSrvCvSb6LwuNjRfN4wRU4VNcaxmrc7gh4pclojozo73YPcz7D7qZF S75krzA+qaDKAm57gEkzpLSv+v/Ze88mydLrvvP3mOvTl20304MBQZAUKUoboQ3FhiL21X7d3e+w +05USAAkkIQZ265s+uvv82ycJ6sGjdHMEBDZQA9Rp6OiuqqyMrMy7z33mL+pVxTMWQrIFM9JYtAL FcCZMhMSdLvM7yRhS+v1VYha9EKzHfcUSUxjc8q6CnAxcSKqU9GrSiDIyUAWp+jEUSVjTssdI4Em aIsd+tAOirJYEqrPhnF/zZPdktrGdFnK8eqGvq5pF8dBgPGx25B01UERtsgZiyX113T5lIBtn4hE s8eIL6Mk/vC8D27OD/H+xUPCegs4KvZSYtpqsza0VPpTUYUTJZqDdbskC+EFdnmMT4XeIQOiu0pD MsVYTDVV4NOFdnEHww/FhmocTDDaakPfbem7hqoQkvWEXtqxasWs3mObW4qbAXPlQsILHB1p9aRi EkjTSFE/SdmkGUrbID0j8x+Z0Ug1h1RYX3+Du46nc2jOBxbKBiOOhRm4xVLoCvV4Sn4qEjkN7iwn iUTWJiXREyY2Yny9IhJxuzjjV03Mh8OO0ot/oEKv756XoN/lgX+D/QzRPoLlWNNoUQcVRdeYPl7w Ss8Y9IJE5maqZ8cRlogRwgeMMDMNY4/eX6E/G9C34nsGcdLyzH1OYW+Y9UuOL7ZBPnqZHAXNrcK0 6H7FZTai95a5JF1RqM0TikIfqizBWMnrKQuJjoNMjhjISmsbZCMUPpENxu/t9vgQf4B4SFh3IcP0 ggUq+ssgqaLEWuujt9wipDuzYLMYLUjt5y39mage3Nm7izJMKnie4J0etnjuZIublqENrNuSPOCt IlrfULY1ZeRJ4wLPBrUULSpLHbekP9TUhWGdikxwzmi7p2h34jCLL4awEJg0+wDUdDJvG0vL+s0T b+s8C6W4MgN5DOtuT56nIWGlXUnsVpSRyBB3LOzA1ibsoyxo5ZddxaNZRRLFLJMJH/ZXFIhr0R0c QOZkoWW9G7p3b43zgJuhp9IRT0eGV82evBizjuYBfyYKn00wFsnphoxZUgpq87AZtYa9Keg+uZF6 Fv8XArxV6GRgNiwZ+3XYZnLi8QLKFQ2fwO42ZIIjkwWIk/bY06YpbZIwjAxa2vi3lwN3UJaQ5N/q GL2QGh8qrPcyHhLWVyFW8hMQLXHh2YlZ4DdEUA+Vg3nmcYKcPNjA3N/F4UN+P3G0/padfhPUO8UY wRmDNo5UgKS+5VH3D5I2sFWH+vmW5s+nlFFGFzessxFfRs9p3YLJyZbn7tOAEQt4qnrLf+st/6d4 7l0dWkHBMPlnCnNzQGtTHGZw4tJg957lVvNykXOuN3R9FyhARaSILbyRZDsMnIxm7HQRnJjHRnHk eqbeUbs2ONeYpKBo+wCHCG3gIwVfCiQgwNUP1eaB8RIqRD0y7FxHJ1tWpcOQfxUXNIN4H4qDTcpR vGGcXJDSkjZNWFak7Y4bFbGd6UC1qabiOWgodcRWQKxNw+l6TZ9G3I5nQcxQjEG0MAaGhqebzwLl SehKu9GYpG7QolAhc/cnzxh+8DEE4cRvDi/t8R2Y9yHer3hIWL8VdxnnPvF8VwSFurd+7RvuxmGD h6A4VpeDGD1EbBuRUm45Ce4ZVWiDBC3gnhn2eksczdgPA9eMuagnzJI9Jq24VUcYcZpBU5KQOs+b uuSD0wb9ax/mb3V+Z/x5lOOPErJ1SfR5G1rUtOoYVyuSVIe8cm4cjRebroyVmRDbnE8xrMWIwiiO hx0nw5ZEueAELc5AokpxrCWx31Wcj+5E9mW+loB66ekrT3equDnuWamElYk4dlVQZ5BN7DxJyGUJ UUeM1JZp+zlnfk0uhCJ58huPFqrRk4FfzBbkw5JS3Iz2PUp1bLKYrTcUJg+OQl+4LMgeazvmeLPE 3DqScYPOXdAMm9VLkssK86a/a+sNPk0g+nYRsb7vDxelh3jv4iFhvcPIupKseRlaqLPgHiNz6IZe kpX8XNocOfdlfr84aIq3TlFGR8Fc7IPJMhhuWO2ovaYV/p8f+KLq+HBUULcJjNqDN96pIhJFHDH5 FI35z/dELzqUoLg9PIsjxpmjVgceoaiHipjgp33ETokagzjmQG7lrrqQZAQpJTzCWuAaMosW9Hxg rQRLItQVqM8Ordd96EzxZj7gEqiqPvDypFZJjagiGEF6BV7jB9krpuWrQOS+zo8DkFZVmyBDnRxp jBZ1jJ4/6zzHP78IeLdBlCg+aniZLPjV6ZxlM+VqP/B0VAXJ6ik7oi96RNAqsQ3uzxWTdIn+9PD8 QkV4KiXyt79nYi2v3jLieIj3Kx4S1jsLObMzlHlEWpVk9TpszQYjwnkRuRYVhoOsr2ikizFD1Tja akWe5gzRMdt+z00rek+SSGwwg+jk6i9Tr7YJdlb1uCP+mzYguaMb8To0qKkM7BXtDyOiN10YLN9L xIjiqLjQ/NxnPI0TXvcpF2XNs1HKSLaCWhQd5HmOufBT8noV9N7TeslpZA+Vh6gaXHqUYNUC1uFw JPU1bCYuGEzUjeJYe04svGw1+7YPhhxtrxjEG7C7CMYfkzjBDx0bkdkZROoreNqw9BFbYj7PZ5w/ Lxm/qcg3A2e/bFiMr/nitObCtIffx4XKcG9suAiIH+TwxAgGAy0I/N1h4yrQj5CVf3jHIfyWhGUF I/YQ72U8vDPvLBTeHOHTKcp8iorXgboiuuWTYbibqSjqyBMJ3mtwuE5RZIrW9ijh57UrRolUJgm2 1eRtxSPveGzigB649pbx7PzgDdiUZEXF7ewYZX3wRYyuWuLyACxaKcdWzCy8ODcn7Ej5EsGASTUh Og5jtk3Bo6LEJIqtGlM3FTMlPLxDdRdaQQkZXL+5244KsFYSpCxM24Nc86Eei7iSFqxtiY0iD5Nw 6fg8pUjLGMuFG6HcwKS6CQJ7Wwwv9CioN0TxmNt1zH/tC6bplB8+uuHPmg3xzUC8bPlAqEzPPF/o EZ2zWGfoxKb+VKFFTXU8ZfTlFvPmDusR3GC/nXIjuv2hFXzYDr7X8ZCw/hAhiUq2USuBJhyG4AHv JXy6Mx/UEwZBzoveezQE2V/XbliIXbyrQlGQriHaHcjWshToZvBDoZXUGRdHj8PIWU09pSmYL28Z v9wctmKS2YS+Y0UiWZGJQJ7r+cBtySPHjY65bSI2bc8ikUwUjLEOBhJqYCZehHsXLMgCJEA2a9d3 qHoJ6RIvRNdK0RxH1HPBYRz4xHtl+EFigjZ8bgXntQ7qn4ONWQ+OmSDfVUxlxam7og/0pZI8Tnij E3ZdwraZBAejNrO0H+UsxkvOypZ0cCwaz4V1dH2NltsnGUcflujtwPTzJerFHW3qDiB6MNL95mQl lZV8HuRicue8Hd46sTUL0KwH+Yb3IR4S1h8iao+Xk1xkV+QkEGyXbM6dIp8oXomDjR6TJbWwdcjc gDUlXRvRE2FWLbxWKGmbBDbRKZIvXaDEDI9r5tEV3iniTRuUTkOyuv6NFpWctE13GMifRKLTLsKB nsJrfqkz1q2jiDacF8KVjHG9bAcbpvstyVWP+cQzjRTubxCL7UMi+BqKYrCa3aMx0bSmWFWMU09c aDKZ3XlR6JKCTLTj95hoTSocxa5kyYxdckSe9Iz7DeNuzzaeUjnPOK5peo9Rmpf1iHVUkJ1k/LVd 89R3XKcLVFvzvFxRTefcmIQzZYhEMfTyQFdyQrBeROhoQHdDMG99e0lyn6wk4jimLMuvqqyDW5J/ mGe9R/GQsN51yIm9A7f5DahzGIEeCb3H0y0V5dGEURHjxU7dHfg+IiTobE8/RChv6MXQoYhoTvNg YpFdlujXLlCA8v0WLdu1LzxpVgZ60Z3D/N0DwnynWY4O8AOp6BJBv/uBiXVM4pZFEjOL41CFiRpE 3q3IhNLy6uDyrGSw78TDUVQZ/mfMl5Eqqimpm+5QzCQJ2/yISpRb+5LM1QwmYZ0csZO/RwS8wgB+ YKa2B911HdPEFmeFfB5xkjoe2Q3doPhllVH3jmZIeRNDWvS4tuXJ8pZJ56inhixOWDMhLW6JR0MA +ooCx/5kTCEGra07yB6b/zlZ3ScpqaTuvyeD94d51vsVDwnrXYe/U1Do34JpSed159G3cYaNgDJl 5eYGnI6ENBcgDLGRNmUIJOm9JKxJThMkljcBXe4yhc80tfjqva4DeDXc6V2yelvHM7mFxVTTFdJa gp0KzGBgqluOU1FlUMEgVjgylbIssYixjSgJ3/8d4b6nosN+UKp4O3TvyN7UuO1B6qaZjYPWettW XERzjn2LirLgJTgrl+zEXUiJgOAQxAojr7iyk7CJzASHxRljU/IjtQ+0pr5Q6GHJF01G6XPMsORk f8OgFPXpmKlp8W3DUpRFI8v0uQszQzELiW8bomV3SLRzMcv47WQliUlawfv/PySp9zceEtYfIELC eot2KKoL7A/tYTfVpDQkNwNupMOsJuq7gIWSuZBI6O0FciAA01XLdH9NnraoiT8Izok6g5gKVmI2 IQTpgx38b4sOQzRIQlKhgpITsjdQi5WXgFhNUEIPgFKBHVhxz2lKutseX6nQvgoRO5hdiEzLWzCG r0JgDjdi5aWw56LRpWi7gettTpeLJ0bOWDmOxfy13QRnGrE2HAkCH0MsAFEhcpcNk37gYpSz9j2v sFQm4dRsQuV3NRg6F3PdWRqT408SjlTLcSX6xgNxaEH7oP1lbw7JKu6awMXsJzGDiPKLjdldqycf 94nrId7/eEhY7zruN1R353gnBdRcRPUU+rXoZHWcVmvMp0MYmqeJMKd9kOs1gUeo6KMu4JVsa1Gi uiDruR+JrpaYJgykkcOfi7QvqC/vhOq+4anIDE02fcljFZLDVa9YR3HQZj/NIiI1kG22HK1qRvue ZHWgHAU+pWSXzw6KFF9XqbgPuaksPwMOqtxTx8esPz/HfHCNKbpAp4m6EjV44uqwdWxzQx2PiIeS I1filh2jjef0+Q1qesovq0lQdzgzLU6n5LFk4zJgx65swhzFk9U+EKTdiKDxFbaxL+402u/oQ/00 Yv+DKfq4CE45QsW6r6zk8/1Q/X74/oDDej/jIWH9IUN4fyJhIw4tLbipwoxcUCJwY1ArFxKEgEht qQJuyDlP+lhhJ6LK6WjPYipnSVUbvPeCF+CppilSoltRMui/Slb3dcP9fiucvNpzdXqobpSNeeNj yqYmsx1uaDkuK06uBuyWcP/hvqSy6u6S1XdEoBJa4UdqWmvD3OvR+ZZNtGffTWj8lM5HPNm+YH6z p5lYVvNxqPgSBzd2xnom2lklPo5ohoF26EgkMYsXY98TGcfU9CExXfQ9vu3pTMdyNKfw5eE1kHmh uE+LooS0zTHhdauPMnKpFO8EGMNrI8nrLZCozLIkicnnh6T1/sVDwvpDhVBZJFk91kFMTtQB6lHA d7Ldw+2J50jE7ATyIHSXm7tKaaIYxkkwZs2qDjNpaW3Grhso4h77WIfBu+1a9EYs1+94fvJYYk8o ZhCionCPQmg9devZKk8uVZ4Xuk3Heb+nsRnlNMclJWbtD5ZXAov4HTsmyWvictGeG26KMdo6jk4u iOotl21E1x9zyzGr8THTfEkTiZWYmMzecDkkofUrRzm3JmXTDfT9oXo8zbIAWBUsWDsMLJ0Osz/f 18y7TdgA5mqPvekxnx6kgOTIdoKMF06otIdxGwxyjZsd4Bl3OerrSem7kpRUXv/UbR7i3cZDwvoD hKDLfebpjmGpBiYZjJ/fUUSMpxGVApNy+4EkMEcvksqSr0QNJbGUxVGAJWSLijipiPpKzPzY1jum Y9k2KnTX01pPIurGBXB8kKMJa3xpj0SiRbqpQlARnpkVYnHPWbdmYgbORRJZ5FgyjYirBp2r30N9 M5zKVmEFVb4bmCyq0GLKgxorIoAZ2y6iGyzD6pTt9RFOnt+zK3K9J+9LfBqzPxiuIX5AglqfJ5pR ZNl0HZeV9KKawi7CzOuZ2ZK1fXit4m2L+dId5oNid/ZDfZBGFiPZRwqzGrBvKtxJj3vyzXgsifu5 1ttV1v2A/u3W8SH+OPGQsP4AEYkue9jCKc5fH+yyfn4qicvQehfstupKrNJTvvCVIEiZZRl1NOIo Mlz7My6ax6hXiqMPL3ie/gNqV5EXR/S7K5KNoXo2QuuBYdrQpHFAu8ddh8kOmzFRLZU2NGkUtldE otSA41zwULVmfqExe4d/5NGSD2UL+DV9wu8Kof74mcU9UQGQOvrFGi/8vwHOThT/7ckR7T9mX2lo DS5CS4Wou2C6cWVEw2rEdXWwj5fZ+Gm2JTXio9iz6zqO0oTeiQVZSm4Uhcp5fFsRiXWXudMNE+bQ cxWUGgLAVdrghSRgAe66IML4T4UkKklQkrSkXb2vrB6S1R8/HhLWuw7pHuRkErEAUQZtYFFp0l7R Fh4n1JsTzf8XTzjt4K98h4u6oEiwjcb0cUHZZdi0oXmU0mew1AXMp4x24ittiJ4ryjRlk8zoJo6+ axnXa85e98QvxWXiN22d23l0Ca9Nz6M05dxr8qU4SQc5KvRLgt398G9VUF8QffjfpSUMp/TGEbXS noK+A82LtNQ6HbFfP8UuRStMvu2Cg/RsvOQ4u2ZlRnSDZ2IMZ8XBaCNTBLWIdtB82kjVpUitIVIF VhUovQpWY0fOkF129E897d8qrFIYwaR9eqc3zx2NSCqv3yMBv11ZPQzh3594SFjvOg6O8Qc1Gqla pAJIhausGL1RoX2LzuD/KDy/FuuFradGUxWzAISUldc0uSWyG3xmSXVDy5hcXHbqK2w8pb6+4cjc kp023NgRriuZ9ju09QEoGTqzuxAwpcvgSRJhjAzGO8rnCas+ZvHrkvh6ANkOipZ6GEr9Rufqu/9O xdD5kLDEzPU+5O/78skpu9cWOxvQMqeTfxG0InioNYvI8AFbCvGaF5drUk77lvGuox2J4/aMpcmC f9A0cQz9JUOzotuvg409a09tPMunjjTRTAZFuhN+5uF5iLNPyIJytP+O46f79q9t21BlPXAM3494 SFjvOuREkZXc3QkfqDUfKiJBjMuHyGP1BfvFE/6iXqLEnbjSnMZNMMiTk7uyI7Q6wkqbp3Wgnuh2 T5J69nVH1IhfoKPY7kj6LVXkDy46E4X/UKHEDaa6Exb8QPHaKjZqSqsyzm3Jh35PJ1u5o5R4tT+0 T+vfz0w03Pob4AB6D3/5s894Orvm8sczNnlCrSwVKUZE+4Yt47IJ6ql1W7PqB5yvsYNF/QKS2PG3 T1fsxjtaVdDXa/brPefXDdMbhZGqMFjzEGSo5Zlcziw8OSZuLNHQMTKbQFviRgWH59/V1Vn+FklU D8nq/YmHhPWuQ8CQ4vzwFmI8mI6Kn2EPzcJwOTtm3JecXF4Frh4jaYFs8DEshhrXbVilDVuhnXQV R+UV1sncRlPtd6jRiKbeUfxcBJjBHIs8w0GnSqzg5XGEMB20oGZg6p5JdUuRjznyDUda9BWq4GQt ygtSCQZqz7e1gt9QcYWbhiUCQSonIPvvkPf6xjG+3fBqqFj9QOZxIpCnObLiqe2I+j3UgociLAOE R3gp4ns/0IxFfLB3pLW4/ixFooJ+K22nAFx/I13tCh0e+7YbSK2nS+Zcqhln7Rum7vZgKlLcQUp+ x5AK654Q/QBzeD/iIWG941BiNtr8xq7l3jtQwkWK/fNxgDZIsoo/c3SPpF1KabI5Tu1RQx04f8KF S4YqAC9F/aDzirT2zD/z7Bc9fZwwrGuscAS3PrjQVMZjazEWVYf7faYOgnqt5liMLMTxWSzAIoOR +7MHEw2fipGGD61WsDtTX0ted8axbxOge+up59BNvMiAUVwpUhl6i8SMwCzWMIi6xCBodB2G7tvh iG2cc16WxJ+UbCeO5UIkeBRJnHFzpKmGmlnryV54zKUPRkXxnZtRL4DWDCxiZ7AAACAASURBVHZz yydnBUM0hFZ4oh173zDhC46vL1HWHTaGjceLyOHJ794a3nMLH+ZY3xzy2nzT63P/9dc/v/2zt2/7 dkX7XbCRh4T1RwoxT9g/KShP5jx99QI+7wJ+yMmJPY6IfEc2iPbwIdJefJvrkKyEEleL7VWlyHtN e1kzHOeURlM4QbOrMLtaJS5szpJchUG6qH62XhOPFrg4p9rdMHU9XriFtXgeKvpHlsammK4neVmH n0mYpTt4HoYn/7W/RZJjCheTAT/xTGNDHCkSGXTLY48JuK5H9YCpSn4ep1gdkdtW+NRs93Fw0LmK FbtY3HUUV0yCIeq53vGjvsPuGow9QDfCbC1S9I8V6sTwWZyxjIqg4y4H+2N26HZN1LchWekvHOr2 AGr1UmEd/+7v0z3M4UG54X8O0Q+TGZ983MM+5Hv3m9V7EO7XE9A3JX/5nlwcRDEjiqKvkth93N/+ IWG9wwhvzDf9wIjtVsLNx2cYeuIXPX3jKY8VpdK0keieK9o+Yq9l8H4AeBopL7xDux5TdsRirjpA LtCnq5p+llL5lqQesK1iVClucWy8Y9pbjLZckLCOJlhxo/EqzJjia4jEO/bUs5+k3NgnpLbi9Nnr 8HQbEW/+ssRct5hODhoVHldaPzmAut6zH6ugNCoUIhkSiRoFxcHq7N6kYrHy6HTH1ZGj9414BHEx zPjULJiepbRTi+AYtHABB0vfd2x1xE/Hxzz7qGRRvWHXteRthJ4WJMdgIsdUkne3oUymzOMowDIm q1WYD0p7KzpkX0+yv0+8vTH8OjL+TzG8VPhdR9M04TWRBCOJSr5XllX4Os+zsNS5Tz5fr7K+7fWV +5SPr//8vvJ6SFjv8E0NYnDf8LN+FrH8aIGxHYsXV/i9xxWK14/E8KHAJpC6hms7Ya3Tuzd0IBna kBCO6w2zi55I5mDByUeE+Rwr3VGdxYxWA+lFS9wLO0XjGhWG3J/pEb9uHaPqgtz2dOL4vNOhrWqO oC4UV3rCRfeImV4z0SuSoQxA1tszTZd5Fj3EsunsNbcoJn0vvWdoBa20fCLjLAe0mK5OhW7TB8xX owypzKemwv8TQnLL3mdUds6FPWOdtizsLbbbB8VSAZ0eUzKPc37dQTwzmBEUgyGKc7pihG9LzKrh STngZp5lmjAaSlLRwhJ6jtiPNf+8ZPX2CXPf/vypJi3vfaim5LiW5CSvxX1FJP8XLbGqKilLz2hU 3CWrw+t1r4DxbVi2e9zbfQv+bYuOh4T1Dt/cb4thJCe/xZRXbJo9eiSexh67hHYhg5khGFjcysnv GmLfs9Mp26FnZoTk3B3MRe8fS6ocA9uoCTSVdprgq4Rk1ZI5T5NrvkgzXnWetNuTiUheMsPEKUla Miygk8G1En0qR2xKKp/wyjxhqq8ZVVs6N/BJHFEUPUuTsvca09SYWoWZlI07ItlCqojGSO00sJk5 LkeivQWliRgZjcsn6EoQ6nVwmx4nho9NTjGUTHbLMLdrjacW9VVtuFYx6XDDyO0YRHYnikiHgfRy jWkb9IULSHemlkR5rLS4Ip8vGKyvLw3utbD+F3PN/RD+Ty2apvlKfkcqqXtAbZIkB+UPmdMq9VV1 JK+TJLQsywJwWBKQfC23k59JIvumhH/fRr4NK5Hv3SdE+f9DwnqHEd6TvoHut+UNRIcqrzbUfR10 rrbpwGyjOLpQbJOaVIwYXE9hNniZDbiBwsbcDopVNArI+JlQ4u5GXDIHWqaO22M4GqUsmZL6hrE1 mH3DMBoY+T0/3nrSq5bNkaLse0aDCa2j6UXKJqjQo4c9vd+zc+csmTCyhqPEsGp3bASIoHcMzrFx omVlWRjok5beOlItCPo4VIWVK/FqCMkql4OUnrmOuJZ5F5ojoxjTh7ncYAce9XueXuxZ24ZfnGQ0 RuNtzqzfk7othe+CwUalIiabhkjIzSJsIRXUQlHHKatoImZhjD7Yo2YtSDso2Ldc4U40ZBovelj/ jOLoT6myquv6q0R1X1lJEpEPSUbyWsj35bN8fXp6+lVSStM0JJr7lvB+xnWvnf+2/th99Xo/L7xv /+4pUpIEv5qP/ZFfk3+Vcf8Gmb5E33yG3gkf5S5EW8oOQbNdGcWbdqBIFPPaENUKLS3bqqfeON6I SJ/xzLS0gzXHGG6HmlQP6JnCCwRCcAwbjznSTKfJARlvRRVhxV6tyWeWLNGcicbVjae78gxjTTbU LNaG9OrO9SaFnYp41R/xsl9gdI5Wms7NufUFnV+CXSEWiMf9LTPfBJVQbw0qFklnJYwiIicyMg43 9KGgKaT6Eg0u79iLpE3TkSvP1hrKpKBScUC560awZR6TaqwMa03E+bBjMrRhpiWOQbJrjTR8XuT4 c8/jfUtx1YfWL7lssEXPKj1i+2jCefGKSHeUR2OupmcwElGLm+AI9OCQ+t0hSeh+jiSVkYQkoPtE Ise2JDP5+r5iks/TqTgLfzee7atz461t4H0beJ+k3rZZu09m97d7SFjvImS4uF5hP/81Znl7wGF9 9TOCHVdRi8yL5wdphL91xHtxlRFt9x7debqdZz89bMVCq4UOc50Ttw8OVa2oEDw/8BM3vUzeFROx gK5XRH7LbdNgRKEgjVDRGFNHDLsdNlGMvONF1TKKYrZPomAN3200pVwNrSF2A960xLGI5RmWrWfX Nzyygp6XobhDTKU7BnovSU2crQ9/Xooj9QOlHJiik67vNmzynEWrXnBTccHgOzod4bWR5V3wZmwT zxvRgVcd46GidIpBu0BRal1L4XtqFOs44otpzM1U8dG45uTNHiM4Lke4z0ZHbLIZk5MVl/k5F5wz sVv6XjL8Q3xb3Cei+xmVtHtSOb2dlCRCaybyQXdt2+9TdX4bGPft2ZY89k9/+lPm83n4/gcffPA9 TlhyImw3+M8/JQk8F4+3GvfkCX62+F++fP6L4WxkPbteY//Hf8fvdgdx9d/6OegN5DuYynBdyHaf QSzcwkhRahuWa5lrmDiCMujYaOrek98q0pEnmerAxetfOOxGsVk4VmiStbyhPiSSyFsibJg5y4wn G41pf5DwyxsRP7b4+JhfKrH88tS9IVUdRbfjePiCib6lH5LACaz6lqmJ6dsdH4iEjYbCZIHQ7axh UOYgaeMOG9FW8FHeUw8HscBB7ON1H/42IRae9xv6jiBc+EF3w17UKpKeLN7QjhW78YyVtRw3K5Y2 ZqJqXgkiXytGOmKpEhqdkJo5t8sz9iZh8sMdk3hDqXNuNwsmyZIkHUh8y4m7pNA7tFRxIjf9J9TS /b7D9PtZlSSG0Wj01fzo64Pydy0jfZ+s5Dn85//8d/zkJz+hKEZcXV19DxOWZNq6Yli+oM4Jnndm pSGJcLI5in4bymx//j9Ql69xj88ZfvRvvvH+/iXRzGq3xf7sJ7DdhhP3G0+QYKMM12K73gz8O68Y Erg5H+ijiLIV6XTFQgCWMoMHZpFGHYtMliPtPcVOEYkMvOCuupjEeLaUPE5jJr0Km0bZt71qOrbi cNoq+qHi+bkKll8DW346JHziRkySE07VLXGzQVMGy62d0FwGyPzAE69RscINjqYb8LeQZwadxEEG pu/LMEcTGlErB7+yJMEPTGztpR2c4OqWcjEJ1KEgzCcXiKYm6S+Y1jc0ozG30roNLfO+ZGdzpq0g bNtgOnsVn9JrS9Zd4iqZp52Q2RGD6ShtxsWwQJUW5w1ptKZF2gzF5HJL5ivaWYyOLZh7z6+HuK9m qqr6qlW7nz1J/LHQ/T/+8Y/5u7/7uzATe/LkMbvdntlsGr7+3iQsVW3Rl28QsSZ1KTY0nvWxZzXS jD8fGF1d4I+ESSxiUBG+EAlPudx3qKpG7Vcot8Pr0XeCA/85b5Da77H/5e/CZ9EUF8R4UAn4lrgV 95jOU3UDm48TXj15hNv1fD5S/MWjloVf0g1doKrIfCsR5YRC0UzAlT7IFu+OUqJHmiIpqZ1hnySM 52NKk3K9XlG4Nae3injkWI9i/GyE6mtUs+GxEyiBKHZWPNYdGY7rXvFGZVxFOYlrOBu2FNIyKplX GNZmRDraMtYd1/shDPb78YSd18HJOfU9hZIWUPFS+IKuY9GtQM9ptzs62wQZZZl3BRNpZVjFM770 J7yuNVO7IRNez9CFZYWKTHi+Q+L4Vb0l02lA1QuOTMxpx/E6DO6vy1Oi7RE2MyQjgVvsuS1OefXh B2zbEYlqeMo1s9BQP1RZ7g6GIAnrvrUbj8fvheJqURT8p//0n77x8b8/CeviBvOP/4B/og7W7viw Jo+dOrgoB6urnwaFTS/nx1v4m3ZuePFjQz38I8d1xfjSEW/H+MUiJLTtuGGVDRyrGdqcEX2tSvuu 0Msl+pNf4/oGs9+jZFh5x6n7LZWEr/9iB3++7/jiUY499sxfdBj/is2uZzN7wv/DhA+iLR/7HbEo O4hRxFwsvyymdrS5YvtvYm5y0c3bcBTbYF2/jw5qDXZ3S984fuI15ycDH5uOL/Y112pA1TX/MVVM YsUMobB0lL0LiVFUR6N4yg+FX+gNOz/iyzjneP+GlUp5Q0KaJmy6HSdmz0s94kYuEkPPmeRnweZo zbmvee6awBVcSztXb5mJPEyg5zhGooTgDoarsv1sTc08swzecN3nnNmao1jo0Zo+Fq0szyiOwobS K8/cKrph4KYaUw0F02RLP7VYU3CiLzhbvcTvddgkdvMYpT12G6EmC/w3z4b/JMJ7H1o/qaru51Ay pxKIgsS9+/Ufexv6bXitd5uwxEBTtgwyaJVLqowQROlDXgwZuv0etuBqtzkoZpagCkVSHtb5QlNR Igc8UkFbSuYUMq8IVb8kDA3DiWWXTRm0Zelgpq/pZyX1tML2Pds8Z+8dJ9qFN1GuOvfr23/yjes6 fLtEfdTie+hjHcwjhlpIug59relbR9MPyNMSV2eZUA9G05sYr075ydOGR2txLHaMuoq/atc8nXeU O0dhxyRpglIDy3rP2rfMspRYvP4iT3zylKQfE+/fYJ2g3G+4bQdetp6/9xmvtaUznt0QcWY7PvB7 Fqng6z2l04hMuwzCB/EVNJokjqliEwTzNl5Jg0jbtJx4xxPBjg2OzeDI+zrM1YbIEhvDanB8qibo SIVKbeyGUMsIvflppKmWil3h8XfUIRnUh41T3xJ3F8RRxZBOg0W1zL4uOsV4UEzGZzT+r8n0ip7r IJMsphnSbec6QhtN0yte7zKmiSfSjhs3ZZwumK9u0PJ4t/0Bt6ZyBqEK8acX7g70ut/vf2toLpu9 +2P8fn71x05W3xXvNGGp/hLz65/LhBU/y4JjsNgtySbKn58zPHlKuOT+Hvy7/kRsZ0AXXfC/syKH KwetVBejEampKOZ7fO0Qq7/BKPqZDjOVSrZUVYtuepbzlOtsjJZqStbm4lzTG3RfYSPPzgkmyZHK 6lYSY8BDHaomeT9luOwE7On3xM88Q+oZViKFrIjE+CCFOtJsRoahM9g+wYgdfe8YzBDs1JfG82J5 RkPG+tGKqrVMul/xmDVpU5LGYOcFm2SK7zpOVM+jSHEzOiErd2SfriG/5DZdHCg8Q8eualm3Pb0x WOUZa81GGdpO1JItzxMdZNoTBlojrd8c160Z93us82TNhkYc7qMRp92SscytvGJhBi67LkALftwv MbKRVIbSlbxxMWsfERktpBwmduDGzym94qy5CYYZm3Eg7IR2UeND8haxvQZPY5IAEp13a6qoIDZR SDRzGci7ns5fhMQmJmRDL0DRFquvOVJvmEQwj57zZX2E9/I+e3QtM7sOn+sAYtU47EKEEQ0+f39P xn/pKkrfIczl2JWK6r56krivqO6T09seje9zvNOE5UWf/JkcMKLU3aLCuv8gYqfrjZQhuCc/wKfp W780oES7u2lR8iLeXQ6ljZFqqR1bqiwlX+zxgv8RYZRxxnV6ws6kmLOOp6NXuLakPU/YJgVW9zyp L7lIFrgs4uokwRjHxNfsnOKouma8L4luqqA5fnXa8/fJnY+e75mJO2BTBqXOvFY4DV8YTykgxVRx NlJshp5tJg44imkbkQrZttOYo45aeWqBA4SDydHUA8efaM47zWd1gvhTbU5mtHHHJ53iv7Uv+N+K LSNkgD3GtDAX+/lliz6L6SYZt+OUm7MNfVkxtDd84WyAOKRNwyNjmcZwRMfrwfHZEHGSTQPYs9cl RzTUWG5Viutq1kRs9CjY00uCEP10P2xxQ8PI9cy04kJPuNZ5oAc1Q0dvU/JWMd92qGgTklPpM0y8 oKJn7R2dU5joKSkrarm4DB1TtQlyyoeFhCWOIiZ9RyuUGiU+iQ3L/IzYVcE3sa1ueBQ3bF0EOuIH piEfarS3DFFBaWJSs+WpFRXXHRO/4vGrG5LrLihNyHsf5GeeGfpcYBSyI/3XHX3f87Of/Sxs2WSI fo+duidwLxYLbm9vuby84q/+6i+/QpS/jX96X+MdvnfintfQJClFU2H3w8EIIaiTCMerw3zyZVAT GD78CJ+JBokw8feYT36Jfn0VrpK/dY9yE0uwdNpnBfHQ4PqS2uTUOqYeNG2fMNEZU1VxIXbpxYKx 7zirXjHv94EiclksiPua83ZDLyeg0HlrMUrouTqHX8UFr3tFIrfVKY+Gkse6wheOeCq8PMtaFeyV Fd04tNvTDi2p1jSD57o3zKOB8VjWbBEXtacUVQWBEXQVo3Zg4hUrY3mRV8G8tHCaqnO8WG/YLoUc PeGvBffQax6rnnkrqpeCQbLsvKP2goqfi98DQ6eIuh0TV4pjKivp/6USxHEkSUAPKD3mhZcklfBE tbQ65mkckVRLOiQhFVSbDjsMTLM9hVVBlmYrRhjSwXvP2bAjlp7exFwnJ+R1TVovOe0aKITKY3C2 DYj50PoOll/VEWfFiNxtgnrCXg+MzUE5QsiHMqPKXY/1HXudsvGaqKtoWxnO+8Pj11tSqcuE3Iy4 RPds7CjQi3ovf6Uns2se91fkzS7wlPbPCpy2JG2NTvtggzaYmDgkSv5Vhbvj4d3ThqS62mw2IXH9 8pe/4uOPP+bi4iJUW8fHR7x+/TpUWJ9//jkfffQ8DLkl3vdk9W4T1lDhXYmW00GE5ET18i7/iCFD Le1H36JfvDhYtM/niBSAiirUbvWbZCVlyQiGVNGPIvbjMd4mVDallBO3PxyYg7JsGtE/VxwnBXOz CZK6QkEZx5YrU2B0xs6NkWe1tRGR03hjuYpSyqOG5MgFdQCZoxxbRx7ZMNhd94qPtQ3ATWkP5Upv dcxY5j4BgS1ASDFBKAPNJRt62tixj+WkzNnKVb6RZBkzODFpMKxPDD9LYi7tjixahUrHk3I+czg/ sOoiLuuYkc+5GaXwQUbuXvGL3rHd7gOC/FiwMMqw7+E0Gpg7xzyKwvA8aGY5H/h1uJaRblBaBVdk UQ4eu5qilb83I/MN/2bYYcoe7TX9SNHIFdlIu6VJtKLqdow0ofVc2iIAPlcGovMRrki59hZRmJeT JZOW33seCdJerMRMFjS9lHcorcNzk8rY902YR0l1JhLIN7oIifFH3ZZI9+wGQ5nNUV1DGrTuUwR4 kYklmTLhNZf3Q9QjJEdf2xF5bvE/ynA2CcnK7PswV9vEU3b2nIUfMeFfRwzD8BXNReau90lLEs+P fvSjUF2laRaS1NnZKdYKpkp91Rq+jV7/vsjnvKOEJc4rV6TuQnq/g7+eKAvctXciImflsl2LIGcD t19C+ZLqxKIiTXrUYMV6fRqOxiC61hSa6/EJK5uHwb1cxaXlqNQoDHFlqL1uxHJ94GJIiOIzfDzh yFWMpM2wI1ozZedOqPuBPH7DjTHM1IDtGkon4MtDfy+D+8QYeueYxlJ55fh6TyIt6iBzqyHQY2xf BkXQl2QsG8fzQZM5TWfFKt2FEzg2FhdHYTW/ENt5mZmpntenGZtmTqpKRsOXxOL8kuVMRhNmmWHX tvR+jRIuVZuxymfSWPGrm+vwfGMaTuKeozjjEs1Yz5mpEbrfBJKwVEeJOSgnSCtuhobHvglSNJ2D N3oUXJV7e8y5XvLn5g0jcdeRravowLeK2ot0iMJoFWaAnU4p03moIhPXBt2qCzsOF4vaiazp4Q2W TwJrECXRx66jQl4jQdxHFEmM7baI3etOyUh+CDZoa53hdcSEll7nzMSD0HeMnLyKHfXQh8XAVTQi k0WAE0kTRxFZtJCexXB1qIOGliRHeQ7Fcke8brh9fszSHuOHGB0GkXyvw3v/FXZKAJ/yWVQT3ubg STsoXwsA89uS0JMnT75qFyXe92T17hKWDGRZHixivv6jqcKfH9DXToDguUAAHPsk4vJ8jo5iToSd v9nTfahpZL4lWB+l2ScjimbH3kzDdrDspaqaMIkFN7KhiPchyQhJ9hP3mJmXJHJFsd+QmYRPZINn xNxKKq8BG8Gk33Hcbpl5RacibnzKrcyDZCPuxdJ9CHOuPJmHdrVo9iSiL+VaVn3PTd2Jdyhx62mF lpJ6EivtsAoVxWiomauU18mc20A4bshl1e8VR1lP11ecdw3P5cSNWv5RVo0cDEQH1+FdRxykyhO8 CPRFgl/PSaOEF75kUwtvr2C//JB6OjCffALuNnD55PiLA3gTusEFB2Vpxda946Wz/KyO+Ggc05gi UGyq+F6uRgwibNgkplqqNdinp6x4xHjYwOdfMhlnjKOIF068Bh0yoRPzCVu5g8pqIUA0kb3pmfRb vMt4E415pSO2YuqgVcBgWeNDlRUFZ+eORPcMUc41npwlJ90mVGSDF32whq1JuCWh7yMSbwPJu9B9 eJxFt2cwCdd+Rq/iMI6Ii4adGWOGnuP9K/LoHNJDC/R9Fs0b3qLPSKIRsKf8/9u2fPdkY4m3Z1Vv q33+ySYsmV1p1RFJzhL8piRwkcodH0wRRF87bAsXB5ng1mlW8YgylrbN0tURzSzmZjTj1sYUkdhm WoY+JTYVawG9iQ5T6BeFy9YTm56PzTK0oCs75brdB7nguG5If9Gg046j55Y3eSxjJTrnSMRNeWgY 0zET6AUtp0PLfm/wyUHD6SqOeTFYojiiNzmPbE089IyaPb7x1J0l1o46TbnCMYkPsywh+so9Cs+v kwqEmEo3JErzSkjDYlvVvWCmc7Y2A7PnLI74h0E8K1xINIMa2Eh11IrygWU2MuTGsOnEdidnK1JU vuOZ1oHG0tuSFZa9lznVQCKzp+DXKiX/AfO06R3/0DiipOfPkjVPIoGC2NAqNrIQcJKkNEq7IEXc yMpk6ClSacF6uts9t1/uSB8lXFy9Yjg5JZ6M6JqGvirpqoHdasvjp0fcVFtmTzNmeUdPG/4tB8NS J+RRjJZEJBeQoSN3e0a+4XHfhhLwpZ3Qx4643dEaS9o31F1JTRRUIWRBMPcCEJUkJ8qrLXbn+GL6 ASs154w32FR07x2xa7Ftx+RyjZ4cB9ei72N0XRe4fvJZZlCSpKSyuk9a35V0vk1f6vuQpN5pwhqG Er95gXm1Ri8du78YkxYV/Nmd8qPYp1fgLjXrH41ZxQXC668FU6Mt03KHwfH6+Akv1UlQ3WztinW9 IFKGOBeVQ0/rHOOoJ852oT3MhRh8uyW/rJjOG7qzI5RKaXt7kBg58QE1Lh/PrCPut3RtT+NqiPJg LyUSJiPXMdrLbM3TjA31M0OsY7bDwB7NutWchOpswbVRrNIOLfpN1oYk+vcqZ+R7ShxPBRM0yNxK hNFlVOdYGUMdhM47/lZ7Wi0nZ8rfe4XtYoZwYAksltCWJtLa+Zjazen6hmlcMdFVSJhWDfy7qGOk aq6ffEFGya5esmpbtKjsZZMwxFbdklQ4f3T0/qBPZVzLj9p9aGmbUcEvXcLICSWoDfMrIyVskK7R 1MPAor4hVyted5qy8/zjF9dcfPma01LRcUmz3TAfZai84OqLl5ynlk8++ZLT6Y85ncQktDxeb3ky Umwzy5VasCHjTO15xu7ADLCWkTAYbBqq3X0yZTpUTAQ5nxZs/YR5nHHONljUy1Wwiuc4mccMJc0o p7Q5p+qSx5svia9b1JFnapZ0LrAffyePxfcx7mVWujudKYm3k9WfSvzLJizvsAH5/Qa9qoOhwa6Y EPkWPRL7Jk2dZ6RVyfLxhMvsKKzahf8lg9N86CiEazZN+VJ/yKqR8qyiiG9pfUPbH1GJrC8JsU5I ZEgvMw8XEfeeeN8R3fYstlvOCsXKnrKLIo7Giv5cs9GKbd+zUfBEKfYePovmZOkoaFTN61uOfYmf eeJcU1vNhY/FFSFQTKzvaUUNwA/sRGo4i9jQs1A9cXnLB8az6gVfJL+X8loZtsqQCQre16Syhvea m1pWzSJFXLETcTNv2UajMO8q++4AhhUzCdcFHSzVGi72Jdbv+DBTVP2OKrZ0KuF5Ji/RDW98RT/0 nAIfWhcqOcEuiQWWDKfLaESzK5lYH4bOsQzdr3xIELcfKP6LH2N8xg/1ikeqxYgwm2ClwrxO0QnA U2tOi5jRv33EctcwjjWPf/SYynWk6glmNGGvFCfPZ5zFiqfPRtzM5/ykKzlpWxZNRyugeO9o+w5t 0wAtSaOIl+opX1ZSOZdMRLoqzoh0TK6WTC8bXpw8pXr9A3zc0z56wdhWASwjfe94tyO+6tCZ56i4 4bi5JFuVqC8FH2eIojZ8bfZJ8En8voW0bUKjcdIVJMlXoOY/tWT1DhJWhd5doro97XPFcBrTJkq+ jRftp/NTtnFBmlQB93PTjGj7Kc2QEonKZXRFmx7hZEbRefyg2XdC1xhzXmzZtzJrseGzUvuA55GW p+4z4m6HWzh8rQJA9cnnW5LMBoBnOEPHmthIxeX4x3agzMcUqUiSCBG3QJmIN6mlaC/QbkecqDA3 eSNVGJ6/zAynRpDhEVlVE/stgxlTSbLtW6KhCYnhPBuxyR+RtzHa1uT1nvO+CbOo267hFTmRVD2C NBcxvsjwy9WWzkc8ySNmcYwSTal2j3YDU6vYCQVlvwuwB6HmfDxZRPQChwAAIABJREFUsO/qAASV BGzbni7yXLmIKJ7zzGyo6x2bco3vZHhdMDqeBuv6z8oSUbL5cdZRnIjRqqeIev5DosKFYz5Iu2qR Oveq8zyhJlUDhYBzvWdDx3w0oGO5wo+I0k1QAe2yGY21YTiu0gmXIcFHrJTi9dLxH0RG5tizy0eo OEP3QpreMohtbOCy7fiyylh1M3Tl+Wh9TKEThqHgZHHJKldET/dM+y2nzTU2Hhgpz2h7Q/amw1z1 cC41V0fiatT24GTNVgUwr3kxhG11cMz5noWg0+/bPXuXpP4Uk5WE7fa/RsWC5lbsbUEsbi3b6tC+ 9XdzpskxaBktf9cLJAlmiXMXqFPF6sOTsElK+ppdVLCPLC91Rt8t6PtpkB3ZNDlGnE6kJeximn5M Ha0ZJzcUyZKqH5PbjLJbcLFPg4153cdc7GfsOs088OFSdm1ErIcAGArzMVkuboSoVgYwaflBhBPB 8WRMUjUBkW2jmKl2TKsr1n1BJejgoeO/dgl/S8mv1YhKCz8vZxD96mREq6UKuwl/ay5kWmW46Eb8 9yon054/MzWVSkLVGFlFbKOQkESrySrHmXGoyKISmRWJaidkHZymGS9LseiqObaKHwwbntEHLFTp On7tRLp4LBOyAKptXEMeJWG2x9BQ+SPmrmCiI4amoxQcuz0mi+FE99QqxmUFkdB5jA3QhFuBlgyv sLoJ1emI6+D3WmgXtq5TOs4tB9iBg1UvraRil0yCPdhYN/RW6DGQWssL4KbN2AlR2Us1JhWaZmEs PzQRp9GefrKgjp6y7cac2Ct+3H5GIZALo3nqX/EoOuWmMQwkRDc57mnMjYrZZAtSSk6KKx7XX1DU W+ydXK5SPf1pTHceYXTPorkmWnbBvdqPRJliIH1To1cOLxeu79n8SraBEtIKjkajMHS/B4P+KYZV /+/PWf3vI9RsRm1Ksq4iv7zA/OKwVZCNnvpoitfH+OgJPrtTQfh6+AGzqjCvevyJIlYdyesanSs+ P32Ej2Js77nanuJcjPMBPkrnW9JIkMtCbM2puxPq7hiH46beYfXB08/0Uy52c3bdhtZtmSY13o/Z tSmTZBtULH17WOMHPv4ezsQdeD5g1pp61rP1e4yOKLQNnLSBPojNzdpPaZ3ns8FynZ7yf1eamY1p uo6P45o/62+x+z1pKoCwPmy4JAENzY6FjbhUnl/vPXqx4G+inqPukk03sDZj1oMkrmmATSwxRD4K InyCBWu9qCPI1hLmScRJkjONDNng6G6X7PuBJnc8am/5v6KaIa4pbcJrAWA2W3KrmVcX/HUGs/Kw bRODUq0jsUUNrXgn0rIUZK7D9LdMbEPRdFzvIo4ePWeot3hB8Td9WB4IJkoSctCyuqtgZZ7lEksa x2STczZDSlPfoMvX9F2LVSW2fYMzLU4LRecgwZyLANx+z5nbcpUUXPszrn6R4j7fUD6VZGIYWY8+ hUQ7nmYtjd3ROhskcJy4WR8Ln0DmeA2T2yviasUw19hGYfaOYWRYzWbBEi1vWoqf71AinyzKrh+r QMXRL+/mcXMTbv99OdXvsVX3yUrifef6veuwmbBfVp5d2vLs9csDkfgYhkKhXzjUBZibFT5a4/5i w5D++4M75m+F+N8t0bcXAfPTTSKUcPEqFxQohWIjWzFZq8+SiptKqiooYrlqvsIox20943IvxFeN VTJ41qQ2IZeKoK94U10zSwpGNuMo3pLYhk2dcpwtmaVlcAL2ncbONe7fczhI/96RnXbhSluejJgl KY0M4ZXct+d17+mTYx43NzjtAnpaBv9KtWFwLZWfSMDENsMP/WHT5qAI/DaNNoao3fIfbctfHo3w tueD5oZYCTgy5fMBroYeq5OAO9u2HU4kgrM8EIhvh54PxzlXVcNVFfFm3wVj05M4569Ny7NIY4tT fOaIN1dE7auwnHgeea6TjI/9nsQarNUcy8zr7jjuO7FLkpQvpGkVjBkEqKsHS7VtSW3GdJayaXeB 2zgVLp/NqfqeSjzmpK0TeEiQxNKkxZzBTFmXfTCy9r7Fq5zF4ilxU+L6jonoZrW7QDAvsxm574iq bYA7+FHELk64EbT+LsWt9+wzy81fPmKRXjBWNcY5ntuSp4VnaSPWf3NJGjfsTRHI2cf2kkS3DOMR LTHm1Z5EfAfH/z97b6JjWXad6X177zOfe+4cY05FVhXHVncTbrTQbshowLDRD+A38HsaNizDbqPt pqTmXKwph8iIuHHnMw+7sfatEEsUKYkUJ4m5gUSxklmRNyPvXWfttf7/+3HX7mDbYD6RlG0ov5Kg loPTZhl5D5fWFarjWYYNEqdF+0M/X468EiW6bPnqunbd1R/z8STCSbcl0b6itWL+tTRJiHB5R/7h pAJsRMVt3SbnFz6ehg69e0Cttk4OoOXJ2B4wzeDAdGIgbuXJIOOkcMexjRgG34kSBDzny1raawm9 g5vtyL0ub0XFrDhLNzwx9+wqwZHc0w8fut/yvtAYJ8wc3MZQOEyiknZtm9yUrhTGBRVY2m9ojtpz GBMRmG6EMdUPlF3PwRjW/hmf7neUsjRQuaMPSMcl27Gf5q1Tl7/nKb4e1MS2xSpDa3w625LZjszA xOa8KQt2aiD0DYWRMEnNxCiqtmQuAD5PcehPOqhZ4LnCgKzj3bfV8jztMZ0mP0rk1oJN6GO7gtFQ MDMtZ4nHlW8poxmTYMp0+zHZW4/ybODhKAP6kM4tMZTTmEkWj/z9BdpS2t4JRudjSGPwhgJ1n8Mr S1V2VAtLeOFjwoBCkMouy1C62IFeVVQqovTHZLIt7GtC2zlNMG8adNuh5pAutdv46lKuhD5pPGJX VAydIu17Dh+1VD94faLGvjRs+ozNt2GS3TnyRtBXxO2RwBxYqFf8mGu21ZxLP2f+cMcx8WgjgQAW dGeW8Aa873ZkzcG97+RaePf8ktf+M2bBmtQeycZ70rsjttPoWEge8sbin4QwVPRWshGUbeDjUX/E 3ZUcb39l+O4ic2rtF1eKC1tw3hUkpndbPmdW/iL9V4sd4hd8EdX2qLvC/dr+2nBMMtrAZ+LtsFpW 6ZZGoGDChjYtqaR22pyqS9wAPQtl8GoY+T2+d2BTijQ+dRYP4RxNbcVX+w25n/CJytlX58TaMAq3 4op2V6EdHtNBExygG3t0Xke4ADWXq5dyUVmiij60Jd3Q0g4eoSBehoFdi2NgyaxKbCwig7RMnQpJ 5krTJCMaCrL24HhRBxURpSNod7TtyhXJYug5NzIMjfiukBl6cSh2bkZ37Yl3sGIsPkPrM2fgqq5c N7UYPH5MzNPJjPkQoQNNmwzsugIbhSTxCJko2eOBul65QfyuNBzKlrhNOMxD+ronCzsRLaAiQxNN qZR26voW6Vh7yqomzs74fr5lbjUXfU7s96hLGZR4RCNNMZHUZ48uGjl437jO8Z1qvGNQtxz6txh5 wOQQNgq9BSPZfyfcKMNM5p2O3s5hV3KULaMn7oOUz48e+VakqCeUsu17qlXOahcwnL0vDiPOq1dM mi2JRISpENWPqTsxE4qKS5Y3W0YiRpUrqx5kCsEQGOyFYlhoHqZnTvpwvX3F1d1rmllIvQjpZh5e 15LkR8ctc7OsP/DOSq6BUqjkh1wDpXj5X5BA/5iP95+eJHw8pGzLMxpbEk9S2upAMvQss5p0VOIV HbLdt33s6J1iLRHNjHtSuXdfgw2lyAh+xeI3LWWU0IWivG1/xh8S3rkIGk2NUcKHCuiG0Pn/2l5m WBGxqsnCPdpuOIskxAAm+ZbxzQ57HmISWa3v3QYv8feOEyVrcmfHMNCPhb11Cj3ovqZp/YRbFTmE icxkJMFFhu7bunEF8UyQsNq4NJVoyFnqir3y+QtJfVEBZ7F0fx51o/nMG6HagaEzBH3vqJZaUpxl YC/8dWE5dQ3XYvzW8JSWyRflbyM8rH7gTNTqX7SpIn1NrWZWDVyGPUl/oLEFAiYQhnl1CGhqSzea 05iAjc3YVL3LIBQbz1tjuCMkjqwTXcrcqsSwOyTudXit2HoqRn5NZjrSTixL57xdveQmnrAQc+Dc uHmaiCuXunTar8HIB/zoIsZEOCKWnF58aIEm3m3x5ZoVKrq5hzUWU8r7Q9FKV/kFRVRY9Hs/RU0j drnGDwJmi5KyUrSNR9ucNpR912JaEY5KhqL4KRWvvDHWT/ig+SldtAB/xCfJB4TdhsYXZXvFWBfo aUV5OXLhHclDzuWbN1zaN+5G4PDOOyFAlCjJKGxgkOL8t4Gzv/fziOj+cn6fXAEfc/8eE2XMr8CP ++d6vB92KamJWPohI51yW1s21ZzUq7kOO64u7rku105HpdYb9F3protDmIjK8HQODVRHurGhvEzI x2O8ssPfNJRPzelNLL9OoPZqYB5v6GUGpIVTIMGdDT5H1CDwu4YzXTKLCgLVc2vP3VNZvvar+Llb vafBjlDXLr1F4qMkn2U85GQSna1EVNpjlKVUhodwyVaHTtneSQCn7ei6kl58g/IaxHclVhEJ8hxy jHQExidRHZknM6Av9GVaublW2pWMbcggsVTudxY/pHVm5I0NiJsjhTDLwzFWtoR9QdE1rJx2VDP0 YgbWTtOkrM/rJmYyCvGPa4xXc54aNwdaHTXf/96Gqtty9UFF74sMwKNuLV6WUhRz1g878u4tV+Oe QvvuITAo2e4pMlMzC1vJF0VIzfJsOTb3HMIRJta0E5/v76fc1iMGLcP1LR+kcuWU4tUR2lPCjVAw PjFfcXHPvu658PeET6V1Cjhczx3dYVTsnUdvn4zda9/bEUXWOx+k6MjSzNLkB77p3aOei+QhZNsa +kGziArmx6ObY7ZaOa7W2unxGna+dNkevnxvyzP29px6tKY19+7KGka1K0rqYcDsHJ7C/UG7Sw/7 DLxXPRwEqX0y3ovjwlnBTrrLP4jzmKAsXdVjpp8UqUdv4F8HiP6Ryhh+/ngT75wAzZNxTmI7hxx+ P2zc1e1VP+b76RXqGZyFB8J672KkChFadhs3WHcUUPlKswE1D6nOIleE0vKAJyK/eIwSCJ50FLJ1 ki5LtsuDFD75sBtiVZFWW8y+wjtaEq/Gz1rqKD4Zm72IaCSWnOmJXirevkESjAuCrnaIksBWboDc acWDMI8kGy+dczMYyrZ27+W573GlJEih4CXSAcZuvuYyIdz8SrEbNC91xEj8isOYeST+xCOhGgg8 xU5PqNqetK1pBFvcySbHIBO5zAV9TjmzJbbuyPsRt+Lz+yJBZiQKddF4ORwxtMmYl5JtUx/4jifO e491q+nihAe5qu5y6qojLxpHeZhPZ+y2OzodEGUrTLflK5OB77yIKS2O3yVdpKzYBq0JrXH8p2GQ YXmPNrLZ3KNkcVHf8F5sKZuxMyC/8Pc8sTlZKaiXznWFUoxLL3bsq9rWzGVW6GvsfBByjAt7bbSh Dj28vkbL34Uv0WCgm4pIVPQ2cALPzAw8qRr6u1smmeH41TmHJCMULFCX0jY14dA7D2CiBrLiAS/N aMKIlpw0umVQA4nABusHUulu1z3m5al7snPlHqCuy74wrtPnQXR2Ghtl9NcB9ZnGTkK3Rf5DOI9z KumuHiPfpTjJYP0xq0/OH/tm8MvH291GTM4qrv17rto9kenwern2KExo+av+GT/MXnCIjzxXr13Q wP34wl3BpFQFvXjtZYjbuZgoCQdwup9UMzxTzvYhZmMZjIfCixoG564ftUd6d2XsieqS+WpL+PIk +LNXiiFT5MHIsaJ89xQy+GHDJNyT2QPzzYq4zF3ke+2nDrsslE95MSIOPeoAHc1oq4bA9i5teC+r dtkC+gmZjhxgsGkKNlJuhhAvXrir4quqI1QBgY6YRwXWxm5oK3Htm8KjrA9ci9fOi12AhAymN9GI IRIMs/gXH1za8Wv1hJs8pWlkuQBPplumw2foZk/swkZ3jKZygZzQNZ2jpO5byQbUDpR3ebFwH/ij /N5NjYrHLJIpVbVjFh2cYbiTmK6+cyZtXzpFP6T1IofcqeucvrfOJyndknQqQV3h+Ql113HmP3AI ErYsuY585jI36WWGJw+XU6S0DO+n+oE3XUbrD2zCOYtmQ9Q3xMWDuwbKg6uQkIquZnwUDM2WQy9X Xs9dl8UoHh+P2POTODWofQ71mJvDGWfZPbP4AS35jDZj2peEMvfU8cnEnMsC54GxXtEog9EW38qM xzqkdORm6AoSsMuTZ9LzWtRKWt8Qe35Ff3HJMAsYVI4y6S8A7P9uz2NHJb7AxzmVdFBfTkCWwvWo aH93fna8+/UWbxFigpRaC3VgR609tt7IAeaUV/FwnLGrUw6p5pm54dgoRm2FcRqR5pQQbFsOAnzT Gb6QNh964fCibOO6C/mwyPVLnvRidh01ezeYFlOv1zZUpqNbGpKFZcgEEnd6gdL5RBLrJRaMYEek apLdkei2dBYeoY/K+29lEwotfriaeZ/zIBvutmHs+2yrlqNomlTMXS+ZdgaBCcj1sGhbVr2Yp0PS aMykveNKeo4gdp2iXHWky5O5jsDkuupIJpYZeQrKtjEO6ZsDJQWSZ/q2C1h48E1dEuicNojZF2I9 GkgF92E8xlpImwmtGZMPibOjXCRLrK4I9jl5UVH4Ef17lzRHmWOJgrdCpSnjSPFeFDGKO1a3d2Tz Eb7du4dBJV5HG7ui98yIut6SY0jlYeEwr5ZBFNPS4UoR61uu1Yq33Zj7aOmWH0G5cd9zkX4Ic15Y M3J1uy8y+qSj0imR37r4+FKPOHiigTrg25PzoHamb7neyXJiSs8EM5S0w9pdxdozi1oZisOE4/0F 4/cM9kwIpgF33YIjOXOzZ11NuGuXTNIVQbMndZFfhkEHmHqgFPCjHzKEMkNrCNYWtZS/VMlYz7CC fv5wij0/xwbypxezu1S13y9vVLop6aykYMmM6nFOJUeuhPLzj9fBd8Xqbx9vmEiWm8eDTWjDgMqI TVWztx5FI1FSe0bSZlfw8YPHIV4SNBWrpnTUAgHxqi7G9woarajbKe+1G/zXHVxJoJ7QGOQD8EXM tSgPHFyuJ2k2bnMo97yHzGc1Dp0vb2HlCnfCs6ihc5TQFSHbonOao1FxQAUnfnp032KODa8WV7zK Rlyre57l0o10fNqUDFFAZTVNL2GdMuD3WAtBgRpfaWJB/coSQcmswCcMRo6dfjBjRoHg4qx7Dbop iPYHPhSkchTSy2DUHgnTlF00JRB6g8yvvAmxEj1ZzVNvQ5X6lH1AqCsSLYU34E3xHq9ew5u6IR8q dmmP/0JmaoYXkeZVH/PxIeKwlauZYpS0vD8euAiP7gOrI/m+5OixdoVD4ttlziyXOBeJ1dfUXk9h Yvp4wiBG4fbgrotCoNASjKpHrqjM+oKLbsX9YU46mjLIFrfP6fyUQzhxw/5jH1F2AjDU7uon3ZcA /DZmwUv7gom3YqKEf1bTTBUHO6GrhBYakLZCqxhRh1O8myOxzM9GGi2BIQdZioTOYB01O9lnkgcp Opjz0F66NJzAW9MkC3QTSoa6I/aN7QHjS5qO6Lt6/CKhyTuXWBRPL0C9D9kYK3KAv75KCeRL/97n VXIFfFSrPxYr+TxIt/U4q/pDSK35Qz1eMArZ1D1/ftPy9UnPtRdQVbIvPskYJqqj1nv2/oxcnFpt ROjldGrKftsya4X6FvCQrxjGcJ2FXOqePh0cWnfSHt2bZmcSl8Ai3VjvhdxGZ85sPOkluFMhF8eN bNN0zL10S/KpqCPuj5JMPGXVxNSD4lupz4tIOV1YdKicwVVAgPLnGMYxrDvM3YB+LiMyuQpaRw6V bD2jW8wXolD5PeWa5K6xbc2DSbmnojALosC4tJeR2ZEVK4biiCDlr7TvZmRWWFVNR+XHHMOMbW/Y NZbzfituYSrlsUnOCLXheqjcq/DrPR5j/vKw4PPPKkwRsxK+scSvm5JP4yXL+cCn3oyXeczN29Ny 4Pyp5f1xzoei8PVjDkWHX1d0/RFvgJUJkd2aZyuatmdsSkmtp5HXNMiWcosvbgFZQgi3aujcNrPt LYd4iu2nxAr2dc9H65TbMOIiEoyLZlstXRbhNDqSBj2BijirK8af7lEjjXoiacqWIymttoz81iFx 6j6hKUuWgyxsGjfDtGKhSUO6iaFYZmghusYrkmBF1qxd9+3rmG29JG8GRsEBbTZ0tnaDfBn+10KJ NZZUxZhDw3Y05uH63JnL0/yeUWxouyv8cET0RcjCHxoaRgqWFKvHCPgvbwXl398Vq7/7eO9FAaas MGZKUt2z7jXFURMOPtlZzGTcsG/hL+5qPpwPJHrMvrp2anQrm0PZTmGY2IDWdDSm576XLDzNKLJE RUOwXTMa7ymNzz6cYk1MLJA6ZdnFS6wQNOsDF6qj7YUXlfBJt+Tz3CfvG0Kdsm46zkPfJfceR2M3 dBcFsyjrZRUuCvowsFw2pTPm1n5CoUKarifTimxo2LkheUGEzHZO6/yd+PnkwyJm5L5ySdJtd8Ys LPGaA91qRWwSQhOwFvNvEjNGkL0Nuz7kgM+hbymsQHFwnkLfeLwdPIdQlq2nDFZqgd1Vlr94s8V4 AVfPJ9hdR7fTTKuI+5uKoY0p65r12x3aBugrj0kqW7+KQYWOIZ92G4f+FT/ijT9CeSFTCSp1F+OT 2DUQ6QaWWX8kFIKoUEONdnO1Qlm5qROUFccWfvpXHqrvmDzdcXVluSfjv25PUhPxPUaRGM1FjlIx Y+1M7DYz9IElanK+9fYv6IaG/WVMm43xh57WHkioWOgCE4aOjH2jzygXYzx/wPMlTqrhqd46758s YApvTGmln927h9jl5o7jfEKpUppeVn+wqnx06NGHhrPxGiKfxow5HjRDktK3OUGrmJreGYYfWeW/ 7yOFSoqSzKeSJPlr4sLjLOuxeL3rqv7+49Xf+8uTzqg4Ul7O+OzVnXv6TmKfJ9EZZ6OIKB7xJ8vI UTqXyR5jOubhAEv5iCq3kdkvM5rGY7uLaSTwQNecU7BYnwIokmQgFl1SVdPX0qloDtGMjRkxqJLE k9TmCLra+V/2ghrpfS4TIXhWrNeyuZSuTTQrA51v8ErZAgnO15JKeKjkqnUd6xDu4iWeSDWM73Ra t1XHyPYsIrn6RlRtzbJYu9nSrT/Cd4z5A5mjY9aEtSFrd6TBmKopXSTX2g9ZlAfm+9J1N1HYIJfL wPqMvIi9P2bVWGdLKbcJP9zE7P2cb1wnrst8u6uYxh2zacty9JY+KTh/PmNd+ASezAFP8WLDLGOv a6bJ4P7MMj9TfcusWzmdmqjZD1XvwJmS1iPRVvtg7HyAY7n6SfHFYy8mZif8VHSlYHQl8AqHyPGN 4UFmSW9avMzihZYsEXBgxXlb4RUVr/stH63mbNMxV+e+QxvX8YjbFxP3Pa2HgOTs4FDMfeC76C+h XhzrBtkVP0SX/MQuWPCSjyrPpXZfmNBFz6ccWNgdiWD9ZAtpfC76N8xtSbpt6AvF6yHjTS3m95Yg z5w/1KYd63jMzXiKHkYUe8VXA8NFIry0OUWec3d3x2KxcEEMkmb8+ywE0lFJF/XIsfqycVkKmRSv d/qqf/jx8rd3XPzJn/CD73+XF8//jHkWU21XZAQk7RElimOteJo1fHqoGZUPTOIpjS9DaUvaHEn7 Az+NPuT4MkW/LIm+7aOzhPzQEqa5Y4WLwFJ+vazCZUu4C8/Y+xkbydDrFYVsFgfNcfAdEyr0O9q8 cPiRuj3wP44a1l1Iu8kZZ73TdnUB+JJ3d7D4XU2tQkcZ9dIQ68v/lmugUzLS9S3n7QNRmDi+u0RK zYUtL0/ioSUfPKdtT+qIIBuo5Crblhi/ZR4bon3L4rYgPliCWFFNIJFAUgPvadGL9bz13sfv7rgw CfefXfDwcM/N6IGmGphECb5XEU8LjK45VIbnoxmJfkoaxHhmj9afs0in/F83OXnbOT78todPVeau 15ftDr/tiAbDLPBJBwHwWbTvsdYRq6rmQrhggltWimNwhfYsfb3G/6Sle6ppJmMS8f8NPRdXR/iz C5SfM10MhMPRXeHDm5bkpmTxtCGfXPDp254HL+aj5bfwatn49m5LWVuf+/AMpdbcHhVLc3S000M9 45m3Y6s6KlG9+wvaasTEq+n7BGtKoqYj2jRssxnrZOFCKYKh5n5Y8GraUJiO63FF1cfo5hIlmr/O EocHsihntTXkNy3jKCKNxWwv+4GT2FKMwpvNxsVZHY9HV7R+H+dxuC4FSbo9GaZ/OQdQui7puN6d f/jxRn/6p/wXU/If/tf/mcgz/Kv3NZODz9GbUGrN7qBQxx1P2fKhJK9IzEN+dAPZ23DJXgcUwYxD U5GrLeqsQMTJJhmxloTfg0/b3DMNcbl+Sv7p9UzqjRuC1n6G8ARkc/i2MVTtnL4/MvIL/ocnHaa1 TFc535yfsQnm3JUed+rAOH+FFQidr0hj7UBzjcRGXQtPSuYoPVM6Zy/Jmi1pa0lFK7TfMO1lphKg zUn5PdeWsaTWlDWDzl1cWBYqVOK5K4cUtXEH7aXi+GHKfXbuBKJ2d+DGxvw4b/jvvBU3rQgEIKvf 56/WO3azz/l331o4ZMpnxxUvRj3fiMHPD5yLYDZOyMNXzu4kxuNNLbfHAN8I6yrG6JJGZk4IPkdz 7DpmUqh1x+fqkpe+4cPh3s3qRvkdT4OQ0PM4CktMKAsCCJQrqwfjJ5o+gajdYvWCfT3wJLzhg9mt u7IaYUeJJqCy6Bx0e6KPXo9a+sUlH92/YfVZSfOQcwwss+cxX79auHnYzZuI+rbnuLwiWiS8qTf0 Q8x0GuKnPYEnYR4TijqmVD27xrAloBn3NDrhZf7CdZKirJf327HZ8e3zgiDYO4+mjAHEISGhE00v V/Al52db9LlhqDSRFKovikEghTxNub+/d9dCKVbSyfwuTcOPQaby+z7y1h+DSx/PY/f37vxqx8uT Kd9OF7QOoeJRejOa5Cl50zrPVqo6F05puphdI9qhnDTuSWRcz8G1AAAgAElEQVTrF8oq3ner8oyO m5kk9za81wyYKCRNR+SSGnNf0GyOnFcKfw/dNxVB15BWG4LkFNnVYtx27n54wDOaalCMi4alMkxH GbfVnjVTPt2M+Sgveb54wWKiqeIjuXfPYCuGvKQSIWddsH848sJIaB/kBIxNgPIX9KOUrh8Iygds f6Sttq5TGqWeJJlT+ZICIxSGo0MZ34VLsl5jwoFYqJ6h5BFO8K1s/RRnEvM1HTPtWv7d/sj9eMT/ +yZkbw9EsWLXNfxkX1N0MG2sKzKtGtNIpPvg8dlmzes85z9kPqH/hE/2EvMlQlODrwJmAS7Hby8G Y+FdkXA0IZedZd7WTLUEluLkG0EyRtV7Oi/kx31EUQ+8MAX10LJNrONWjbGsJSg1mhPondNJ9WHG Riekpfj4DpilTAUl8qnj69X3CM4KWLyHHUIeXksQR4NfKN4WBwdOjMoJZ9WE/euCz5sdy1nHNPF4 9UozvliyFoHk0DOWzV4vwMWURpKIEnEQyBzHY1so+tWWkQn5zrOSMHXTLKpKeGep2xgvg1s+TD6l lbQdEYidSDiYbnFyvH9xpEicn5+7Dma73f61TOB3oRZ/TFmWq+CjGPTL5uXHIz//eBX8pxAR/4dy vE25Y5SH9EPAV5dT/G7gaRqTjvyTDKEvKcoteV1jvZQoyNxW6rBrHBNpEimMKMBNytNxwOetx0+2 DYs2YL1JieKQK+5pi97JEM6uPJQV9XpMbkLuyoqiPXDWHbhWNaoXiqZH1ocsRhNMvedgfF6ab1BV Ce+9aGjqGQ8PR+4fWnwTskjOuI4gqiW/QMyEMd8JevdUa2To3dVoSaDZrLBJTjwT4WiPUr70OZhi QO0G1BHHVVJiiywhSBv0VwtW0yXz9oDqJIhB4w+yJOjpZGKvFe8nIvRX3M8irDflQUtqTM2Ts5HT jwl5ayR5gZ1lXYvx2ucna0OwK4l9Ca0IeTkkfPxQ8FkuujWhrAo6uXN6o0bW4b3ms37mjMxjXyii A8/EeeAPxJ52xIz+uKIYJOjMsAg0gSc5jQXdIOJbKUCt66KivEVPnrByurutcwwI2fQhOHP46Swo QYqW0oSN5UX7KW0gc7wR3vlA0MYoM+VyUVCUDa+aCdFKkqcTMmtYmDtG0VtepnPqKmWWRjxN3tDU HrtVjBKj5euew0WGf9ZiywHvtkNLRD0pZTshHe5F386mlE2mMKMliSgkbCtiU7L1xEKu6TxhUjjG x98CiUgRcO+BL9TkUiR+0wPux9SZx1y/x5mVFKNfVqzkfDmJ+Z9KYs0fwvG+KTaUKKG6W/EnY9GG /E1HuIRgEn/AODau0OR2z/64pvNKnjVbvE5gbT1p2JFFYsSF//Rq4EcflczChDNvQn75dSYXKwJd sm5q+qJiPz0j649c5m+dMVh8uBL8uewsz5xX0fJKpA7ma7z6SJMcA579m5jnUYkNhAe+Jc89flTO +GSIuBNiRHvEqsLRRz+UAXXbstGG8zQmrIX5LpyuHlMd0NVwQuE0Fn0vOVanp7V7aAu8zlf0ZiAa KpohYduE3Kj3nUJ71G+phY0gGqsuwhw8PrUjXlaWV4V8iCA412Rj320er5LWSSqksEheYOoJ5jlx N7B5AA9lxkNbsoxLrpuEvDMcJSHaM8S+JfPkSZxwaEOKYY2vB8cD03kntyU3rBdxq0g1XLQXkiXY kwaGwspmUbvEZvk+t4VlUijuhGgxSMCGSAE6uqEiiVJG8YTQjh2hQXhgrd5RVgXTbs1lIixQEZ8o Xnsz/LpxKvr7aQ7LjPjBR3CEl+GBKIDEC8h3JZXfUdUjUhEN5z3NUGOOPf5e03zc03Rr2jNN+pUp g1uDKEeqveuXTq4xDWU2NmXXzfg0eJ9JuHObS8kI2OYzRqIW/QU3PilMcj2UoiDXw8fgUSlaf1ck 1j/kPBacx2LotIVt677m4xXwURD6i/7bx9fyKGV4d/5hxwuCjFd1zn/8yvXfKlaPZ2R+ZnGPiFjM zumGGnv4z1TlA4nxCQftmFU7O+F6npFkHruy5Ccf7/jpQ88H7y+YhCn+cGQcZAS5x1DkRFbSZZR7 6sZ+5OxAfV/Shilld8n+ZcBsmuK9iHmWViy7Baq8xfvshqFVRE9yfmSn3O5jBjvDj+f04St2OmTi ghwCPmZMYArmz4QU4THa9cT3Fbo48bOcFUVZlAQp+5o8DnmbhtRScAaPtw8Jn2+M0xzJoPu+gu8N CaWBkT+Q1z2bXH4cib2e+TLj6uqSUDUcRG3eCmq5cbM7ARReJAFFV1F2AVWbcFfuuUrlqTwQ+3uK PiAR3LPkFzYDr8S3p3ImYe7EnzLrUe2BwDMMbUfga25byWb0+XwIGHmarGtI9q+IJQFHyAmiH7Mw uVck+57gvHLp1603ZlpuiYX8KWx6EdA6v6Z0YwYqj20LV2XJtGqw2en7NRseyEWdLsr3oMKGB/Qy IQqONJOUwp9y0V/Q7nr204qbh5JuV7LMBjIbkgnL2iiGxBJEA+11z3hc0bUelaj1/Ql+e+Tp+MCi feCT7n1W/ZK6C+kDMU6ffsgG1KVx/5IjBeFxU7jb7Vwx+XLy8WNR+buU5Y80hcduSo5c++THI01B zmMo6aMn8JclKT+C+N4RGH7147VpRqQ7nsx+Nc2KRLV38Yeo0CcYDnRdxapLuFEj+jREdT5W+fiL EB0ObPYB25WhXBr8rOGCey6TBZknwQtiuC0pZS7k9VhvwSfbJ9wfUyYfKpQR75hIB44CXIICuIN+ Zpj2DX9S3dAGY15pQ1WHvNAB56GYqgcuhSs/7Cm1oVc+WzNhP+mYPe0Y7VpUd8Iqb4RllSa0/pRP hoT/3Hgkm5ghr6jLgfJQ0fZCVDC0icaOrQPhjWg5ph17CUlYJjyfKeaRRLzfce0P3IuNpBscpmYS +FTi07SCRBbKxJGyaziP5XvVkrdSsAYS0e0OIgwQF8KJJSaZgIswdAJY2V4uZMDcdxxa46xPiQSk io4pSLg3EXYoOG/39PQcOktmTr604dyjGQsjTJThPVlQEGqfxs+c1kzEwnKJleugQOeHt0cE6R8n 0jkqSu27Tq6Q6DNEBxXgDxUmFRGocZ7S0pyzeziDtfDPDOORz1YXLrE79UOSg2yYFUMI7VOwM00W dFwFD2zKOUNtUJNB8nORS3vSHYm80pnbfdWgOsumntFbyWks3cD+7zpSGKRoyfVMipYUEikq0hFJ Go0c6boeC83PHylCjwp1OY/KdPk56aQeu63H7koKmfxaKWbCA/P9U1GUX/dlQ/O7zupXP5488U8/ ftX/VISFCzf7qvs7ouETlmnk5guh2fKyngu/gIen8ia1JIOs7kOy5ZZxtOZ5MPCjIuV7x5inqWIi WaLCJJcCUYTcbGLiS8PZ6IF1OWMc7Am6koGR0301YvG4CPC2Dcs3De89t9yPLQ9NyuuN6IOeMKQl VtKdVc6sL1mZCZ91zx1npLkWFI5c7Dw24icUjUQ7ZnPM+Ol6y3ZuGWVSREBL8s9UUDPhKYJLHEdR SWL2jiMvZyFFR0zUeu80V0LB+jivKHuf2FNuAyhCTS3zqUGevNbx6H0VkYVHt9WUQfuu9liXAaWE tfoS5CAbQotnWta1QAEDxlrzMGhmQY9uNfvGfWGXtiMC2U4Zl3ozUh4i25QA1Q1ijE7xL2YOwtfu Gi6HAq+rHCbapk/c1xiaA6aX4AONLVvauGMIQtZJQtu1VNGZE6UKMLHoRVsnFzjLsaoJek0iSUXy xnpjsXenzaN5q3gRnJ86ire4LaR7B/Un4/LgKWK/YKx2Dmct6eC+atl2Y/f9FhlMYgoir8KIEFjt qAQ7rTtGww7figfs72cwSHGRYbycR9HmY/GRwvVYQH6+M3osLo/zMPnvpOO6uLhwsoTHbuqxIMmv ffQMnuw4p6/7eAWV//+dov3XO5486QRg9+sc+YBNjBhc4Wi2+L5yvrRdc9rGDMJUkhnJMHBQB+Yv dlwnDdNBkVcpD13C0Xbc7zz2NxGDsI+CkVupD2cR8aKk6QNWeciTZO0CFVwYZjS4cAwx74ar1ine nwwtt17NkGkeDj3//ycZDx9ckUYJ19FLkuFA0U3o3o5oDy0/zebOWrY/DtypEj/SLg0sjB/I3vOp ytB9MENlSMWI7J6ghryTmZaYkUOmQUzUQ1GCF3l4Wsy/lruyZqcjDm2ML0VukC2fAFsEU1yybSre H4vfUAbcAv8TTYF24M597aHx6UQmIgUhNU5bJp8f8WSumpZKorkkoTqM6FTN0CjCxLi06JW8zvrg usvBtqfXrZQjeDb+lHkojoY7lEt61rSyoWqLk0UpPKE4RWIiDDAR8FoNRTDirZ5gPLHnzMjsHlsf KXSMFRpm2zBULSpKnfbXlyXG8aSScFu8VxZP/nAnX7Q78iAZFhaTDfiSbONV1H5E4DcoLV5TcQ5I Yrbv4IuxLUh94bjXLjD2wtyStDldr9G+FKxf7UjxeBRySpGRzuuRmuBe3xed1mNxeSxG8kN+3Xg8 dv/8+Qh4+bXy38o/RQ8mBU5+PHZfj9fOd8bmX+94qV8jfFr5i/i1v4laDKsfEChZU+fOLxgNgZMN CNA21BJwcOA8zLk9enxvG0tlgH7ENNangAd8ptOG6VwIpYZtLVQHD8qApVFEVgB1p7a7jQL0MCW4 qUDmUJLWvOp5Ele8FDZTluJXPp9+nHP1vmaeeORqRl753N3l5KuS7VlPEGnio08dWJK4JRl7lNZH rHcTT7rOwc1JPC0gPCEuWEc5kAJ8HsmTVWOHhqcSJxV43FYPDtKHTVkVkroTuEWC4F9kHpWElkko ZIjT1nAtqn9ruUxidx0UiupMVp0ym5HUMmOZBC0zr3VhEMK8cpIHLCPphhSE3oDufRdZNpZ/7yvy oSVwV0Dl/IwSzxXallpCS9sVcfEWWwUUJqD3UuSClnQlOhQc86miyGbORAGNQPQEZqh7hnDCsfFY 2NIxxY7Kc4JfasVMeWShR2prjtLSuUHY6e2hTsFHPzvyf4ke7aJlPNu4IiVnXczptWFubl0XLCN+ GcG3OiAUDZ0Z3Hihkz/vbu2G//vknFS8WL/mkSIzmUzcP6X4fFn68Hh9k58Xd4VbaHwhVfhyB/a4 5XsscvIefey6HvExf+Pj8k7C8Gsf78x/g9LCm3rv1y5YRvmM9MyRQfGmRMaytJal0Xxe1XhKMCw9 hzrgx3cdcT1yK2xPWYwXUshWbuoxS+UvtnKFIjaga+Gha8KRFI2UUN4EwipXI2z8dfpzia56Aw9v UAfL5brlg+c+zbkmntS8XNXsDwOfG4+mTTncl6yOG/KswU4SojhBjRUymng59NwfYFO3zhT9NNsz CSNHqRD66mUSYocAv5bwC0tkBj7eG8a1x9IsXMd1ENX+0Dmsi9BE55Fo1xoHLpRUZtsPJFHASCAC kh04eKR+70Sjnx8Uk7DhOpW8wArZf8zDwAljp55PPVhs27urouixHoKp6xplS0ivsL1E08ck8r1G c2MSurbmWqwukqpjPPpuT1mLlzCm1hmlkFgFLOjCRWL63qPvRegrH8gAbxS5hKTIQNrH3IrtiIpK 7E3W0DYZ6zImGyrmYUGqOzzB+BxDhvbveC/JtboVX1jHWO/dtu++OKNoUqKodBFwOjAkYcnE7pzs QqLrE18SFyt0JYSGlvvRBXsVu8XCPyZYQt730+n0r/VQXz6nbZ78/Kl7ksL05e3ezxeuX/S/5Xx5 dvXu/PrHO7Nr5qsd9urFP+LLfPGU+YJRK1sbsZK8F0mApgD+5APkcXO0Ln9vmU2YTQ+83PsE8vQO TtKIdQ5FnRBqy0RbYtsx9oyD37kZhdMcyBVHTNAT2rFcWTauwPCg0HHExShmNGwJqpaL85jPywXf /+GR8lCTqoFvX0gMmeUnOuTYtdS646BqV4Batcd4jStOoa95U2hCr+BJdrJ+3JcK3zPORHyoTm/I 0A8YmoiNmI6HxHUeEk8mHyAJv/BMIAAHyl70YIqViHMb7QSRCQF3+8ol6WzbnovYYx4qXhcFoRkI je/0V687oaHKg0F+T8WmHfi0yrjxEv5tvHWE0Ds9w09SqPYc+5K9hK8qj5c2xghyWENVV274/smn Jf/Hn/9/qCjm7PqMfPXAbDpjvliyzGLKPGez3brXvtquGUS7FI94u9oyHYX86//p37DpQ5pqQdR7 jLR2jCxPle7vr7mLXdf1y44NLHpZEUx2J6nGZkT5WjAzA9WloT5LSPyO8/aWSbsl1yN2TEmF/CoC Yc9QT0LaxHeDeU/oyL8BGdMvGoKfBud/U57w61AV3hWq38zxNm3MVz5bUfzqY4C/90gBS41Ycy1n /RYTKLJnKSJUOo8ilipz3VTkdeSNzIlES9Q7BfnC03iSoPxzb6Ivr4KlTa8kqXik2U4TiuUlvS/B FgFbP+PYj7geR/zH9zNKFz1V4VevuLUhHwuRs5frq2ziRLek+LNxRUzDD+Xf7TVlV3CeKCIds69n GNVxER/oWsXnecOx7pgFIRt7AC8kDTWBLx2SdIQyMJdNYEfk9a5D8lSApKVbMSDqhos459XOUjXC u7Dsass4lDCCkLIN+LgKOHQyoZbXnjANO2KZ/Vifw33C7q7lx//yjGlSENmYYJBuKCIOFWbwWFWC nbEsOvGz4TZ750oEsyFelFFbGWBrBCu6X++cbqqPAtfBKR2w2hxQcebkEvV2h/DxdN/hixm8n1HY gMyXAbOl7BIeJEhEJ9RTTacGZ1YeFqB3Ci2B2fJ3dtHjXZZMxxt8v2f98pz2pY8qNVwqvKRGBQPK tsyrFbnJ+Gn/ISE1Cz6mk5bSQJkI4toXjo67Jv9C5ei788/ueB/tUv5l9tulMAoCJqtXPITnjIOO md8yGcacS1SNIOqkaLg1pZQ42Rspt7WUtf4v/HqPMwZRN2ifw/kTlB+zUDO6rqXpQpZ+yhNf+OA9 /sgXwZQjO6xF5NlKvFhHZ3tWsp6WoNHe0s2nXMYVD03AD9e40NbP9obb3CPSyhXUt9uE3aagUC21 X/Bcd/S9YhKN+RczCTb1+XRf81BGbJrciR6fxrIO1/xgD3nry5+ORdyS9y3NIIPewC0+jmXPD8QH KPGjyjh65zhIOE8mKNG/RTn7bsNDbuG+IbyH9V64XQeCcs3l4KO8nlC0SWJtGjrHR5dQibtBCtSI +7uSaeLzla9WHKuSSWI4m14S+AHjdEwSxDRCXVAdV1dLlBo42I7QmzIJtJC98LuATKX4Xoqt9wRe SdEtOVYjFumOqxeveciXVK2IknP2mwlqDN7Kkn6QM5uIITzgYX1FTchwLfNKS3S5IcrWfFbseJrE 3KbXbNo5ZRvz1P+ctDtw0BMGWX74mUvnEV69mx29K1Z/FMcrihnFKHTm2n/U4P3vOdr27NsEX5dc CUiPL0spTrl2v+pjUvDFwi9/2QQ8NfLhDlFtdkqZfnTGu+j1U5GT+Uwejlj1kdtexuIvBJ6lS/p2 4Ac7zV/u1vQMDmgnr0e6pGepIvSO1FLoNgnNriI888iimK7t6AKZS4XMQutCT1eqRKclT8aK2zLn vjVuUCzTr0UoxuuCwJTOzJyZGN8GzlM3TX0+yRtiwTV7EcswcHyu87DjPD1yaCvX/dxuPSZHhQ4t 35geOaMkbKDeD6ixdTapn/ZixylZ+JaFzN3kelg0/Nf/+/t88pff59//99+RFpWf3G9cZmEtxm+B Jg4DT55eMF/MuL39lOViyo9++gld26M9za6oee+bX+fDf/tNRucHNts1M1vTmZRCjxzZIwgFydxS 1wmtirGZYDEsOm04S29J8x0v775Gs4/oLnvxB5HFWwL/BOwT3dldVTEaj7ESwuofiXRFWEnOYsAq Pj9tH4ceFfh4/e9WKf44x/pl3sRHLvs7u81v/nihOLGSk03hFw0dfyNHVvL+B0zslIiRUMZ/I19W 0Lr7yndq+eu2JDYWgp/zaHzpDSXh7aWot21M2R0pBTkTTZxOrFQdt7XQOX3WcjWT5GQF748Ny/jo BueZF7PVHZvmyHAAv5EsRI8kTHho7vmaeAiLPe93e46j57xuQ54lEWtJ0BkCvjUdmLJmaw2r5gIj VzhVsW+PDjXzbKy5SKd8drAUZc0ZY7xI/IuybcXlKMqPKG7on6dQVq6YhZL/F1jKfOAwKIp47BJ+ ZN7W2IoglC1lzdvC58NvfJ1vPTkniUXQGHD3sGWUxnh+QF13Ls5sNj0V/eurK7fu/863P2A6m/Dp Z2/46tde8PldDm/ueDJpODNbPIk8iwx52nDfPOFtfukU6KcjYH+J11L4Wc1ZL3QITS96tLCn1x2l ZCq2GyYUXJuOHxQtQ4LboI7CoxOnNnnIcOPRX3j4cUNY17zqn5E3PuNQ4/Y1v6PzqIp/lDR8ecb1 mC/45V/37vzmjjceaUwmuhvhQv62vrkyiL/mq8EX1p/fUGpJoAO+M/uHDd8k2ebYNVS25V+Pb/lw BEUfsq5XNKZAXtq3FmKZ0fzvr0+xXI6V3vf8aGOZhsHJ/V+2aAl+LXou44Rnoyl77fEyr1isl0S+ Ym9e8HalmIU1Z4kIQkPHeEfVbCzclCMeKkU1rEjDuePIPxQl2y5C6dp1WBfZlMyLqIaWshXgoPgK B7zqlj+baL7v507x/UN/zDxJuehyhnJNKZFjEr01xHw31yxD4bpDoTzqtCR4EfHNesc4lACQjmfX M+7XIp5sMZFk4vkubUcSeMqqJRtFrO53nC0UX3sxd8LS50bjzxtUc+eCOW5NymCEoikFTzKahfPx swfFONw7ndXU2+I1lp0e0S0tXSHRYwWYWw5tw7pW/JdairLiruz44Wbga5OQfT7mcn/jUDJlnDiU kBbcMzKDKwkdLOt3GzYo3dOjLUd0Vo8/92h6fnd+O8c7FDs3GFWDxFn9dpCyv7XO7Vc4MmD+XAIa /JDZqGYYxDvXsRwb9pVHI/acumNdpsSmI/L3rsh9tI9oOsVDpYm7geJQkoUxV2cRz0YBWZCRBSHL oeXNUeQhE6ae5txbcx7K+srDNzts17BtQ/JWlgIZk7BkLtfCZk1ZZBQiRi2ObLuai2zmotjPA6E1 VO737m3EZax50RXsTMhVbJxZWWDIEu46Le7IRQfXtvStoQmUI1OUg2UzJNw0Ih1o+WbouYg2/TnY izEffbrn//zz7zr7SDpKiZPTB3+5nPP97/+Yr7x4RhT6nI0viGKRbHTUr9/Qix3l0mdqpKi3vG5q F9UlKGUjgtJeWh65Fg3M4o0rWH2n+HF7xavbiLra0PQF9azhVduwrwPmkUdgRF8lVqaIaVi52eF5 95azj99SXUVEItMoDhjbEQs6x5sSmsUXG+rf/ZH39S8jMrw7v/njla9q6uehw+z+to48hX6Zc/13 ceRPVtOhgobEF/mCM4Q4qYRgXCSJJy81b3bCr9pznhSgKy6iKf0QcdMd6QUe17SYwBBnkYvbSrQw tgIe+g2+toRDhO8pxunW2U7eFjPqYUUcimQhdp3PrvYdGXQUdDyJAkIV8upQu6WDS5LuWspetGsS ptkSGcUy6hh5N2hHoe+dSPReJOhdh5BXbqoGzx8ReYULIx3qnGsG3gusozH0KmfVxU68Ljas1vfI nw90NFwuUv6XP/tTNg8HJssZo6sxg+nZ7XO+uvxTQrEedR3q43vqi4F6FtP+K4EuyjwNNoPhQSfk EljayOsVYeyBbkgdOjnwti7a7VhF1K0BCdB1yT8to0yQMi39xr1LnJI/kFmX0hSOIBGQNEcW9yuU Z90cK3pZ0c596jjkpr/idnPJ12YRv6IV9t35J3o8hobjcMZY/FO/uqHwD/447Ie13NQChEuZBY27 tsikSz788kER4etGVOIU/ItY05uOvzhk3OceTV/jD5qk9vF8A9cBEmCzcMUqYk/nkonH3lyMPKTx jrHwweoRBfeMZKCsJngSm9YKWVS54blUtGNnuS/ESG5cDJkQI+bpiNAY1s0BdZQnd8+LUcmcLUer WHtC0MwxQc/Ei/lkv8fXiqOXOi77IGz7dnCZiHfh3GnCzpsNz5uStpNB/RmvfdE0HZxVKFuWjMea xTglDhTxwkcYQU/PA4ZNQ/Wwd4uFPq7oYo91MKcaLaly8XaKnSamFHJFrWgb44I/FHO3CR3sjl1l eThcOT/gV+e36Eiz2/dsBHmRJHg6ZB4KeqdxKn+Z0YVGk0n8lYtYa+mnGiNRQKXQVo2zCt36Z7zc PIet5zaQ784fx/H+9MMpIzVz6uzH8NJ/LudnWBAYqYhBxYR2jekPDqUSiFHVii4JrmLLv/cr/Kbm cz3h/7mXIIccX0JPO4/u0HG2HLltoN/WRDqg8SAfNoR6Sm9lTrXG2hU3xZxlJOEIHW3nsTrA3SZw V8lpcHTi2Zk5UmNp/SW9MLfsnpUkDBnZONZ42mcaiYLckgXSnUpgae1U7EUPT4YDC9Gh9XsWxmcm Cn2JSQtixm1DogdmggBqWnTX8vX7lstKUU6OtHZLpmUFAUeB4Ek69yTiXDRjoXzfaudDHOaG1ezC YZbP1d4tCNL+yNvW46MWuj5g1Fuyvqeqx46GIaibQTZojeVGSo6KyUSf5gJZDdUgnsaI4EIzlBPq h875N0ejgzN4S7GW5J/EnDyo62DCMFWcHW5dgKouO5L9gcDP0FmHF2s38H93/jiONw6EoGmxYej0 Ur/p8/skKkqxcpxvo3nq+FKWBp+qEA3AvfMIioJcuOS59bhrxdc45pVJSI1P2R4pB4fqw458yrBi 3nlEQioNI/AaFjqk70Pm/o6L/kcMQcadJ9IF5dhbMovywoq+6hjIeRZ3LoZqVu+5NVcc24bGrphH DR4ZVdNyFnqUYhBve6pO0x8tl3HLmWlcevV5nPBevScs7ki1daLXXbREdaWLyGqtXNiEOVXTtY3b 2MkyQArGUO8YghPzaqViIcjwZOhJ+x1GewyBiDBl9i2/1uYAAAydSURBVCaOHwmwnfK2n3DrnbHw t+Sd5U19dN9fbU60z653pixnqamHHUXREeQRbdaRhgl+o/GiU4Tbrh27319bjdn4jF4r/IsYOw5Q pqUbBlqhxKrO8fGD3iM3MSaZEZjKpRV1gYcOLHO9ZcjFR7H4nQ/d353fz/FkaCjbry8zpn+T57ep 7fr7zmOS7uORwWxgEwL9FOt7WFXRGomMD9kD/9u+orOyhq+Jwtil6ciWTmYq2vvCFuxQLyE7YQmI fkqFbk7zTH3EdeJx458TNmOOXYnXCSX0SOh1jJPapTg37nqZI1LQ73cjPG/PImqdt9Ap0L2TL1CM 3x+Xyl0XxSgt16RKrkN9yNJsucSSK5+ur1FWk/tjTH8K98h7Qb8I7UAU+7JNBXUGfZfwZvBYq5CF qrmXoAuvZ6kO6LbB6NQN/LQWLtQg6Yvkfcq+iVlVEXee5r7aMo+tez1jehfgse7kdcYYldIPJ65Z lbSkJiPbeE7EGr8n5usRtajhOTgKB2GHH8BUNpLGY9V4NEPDtyPNBxQsRQTcKFbpJUc1dRvUTTfi IEnakjgTlMSRuATenT+W4z2CzL6cl/bPaeD+80dU9QRzEO2SldBRKTqKVnLyoju+tylIvIhRIF3S iPtijZEHvgRwjGq3zYuoSYx118m4N4R24/yOt94VnxQXrCoZnAsdtSEajkw9mc0oOhPKZIfQNqzM OXmviEzPbRcw8jWjoCLUEjArMoeOuqsZPJljhbw6aseCFxV8MlIckoxOwHvDnlZSAJsSipzs2BNY SSOSUNsAJTMhYWTR0fseD92MLpqx1W9cwRHSga1yZ2/5gk7uTNo279FqzyRK2fmyRe24LwWAXDgx bSVCUtlKKpGHnEzpqSnc67FGEDETxm2I2YE9FxtU4NJ8ik4Sqw26iSj5IhXaSAE0HArxTyqiIEFJ SIlIbWzHrF47btdBj9jaETdlTNgeSbucqQ24CP9be+fe28ZxxdEzMzv75FIUJdmWFMtSnCZuEPQL 9Nv3CxQoiiSw4SZtLMuWLPG15L53ijuMiqAI2qawnTjR/UeAAJEQRY5m7vzuOfrnflvd1XuqQHZV tzmSX1v9GD1yW3JEFRLBNlevBR2sRvxxMrBrF3y1bPlid8PfitrfWs1U4NVa+1nHSaZpN0LCFIEs dEPBWpdc9BG2cFxUVwTBnGO34cmqQEtDOB7xppXZRkMerDFpxteV2HkKrPCsKMlDy65YknvLYpOw 7BbEfqeDRygLrE6GoyWE+rwSNE7s9VZxssdNBy+uZjxya6axDI4LN71hE+yhYktZCGBRmvrKzzv2 tkLVNVGS0hvLeZNyX2ivSvuFp+9rumKJNo44lyhBR9moLaRQyWPLAIGmM9bnyiqhRQw1D5iz0Tde poqbYK8UWuisk46qkxDlBb2rUIsH5Cu5xNDoQfKvFtUKuUJuNR0rZXlhco5dQyg3pq6nMBlLcgYn t62yAMbMVo5Fp/l4Kmah9/zmuquf70goxEXZZUmqWYy5b3OndQs/e9842J96FBV786GesDNKOTE3 JJHM7aXsxY55pJhXhgfJCBNMWASKTdN6ImgcNn5QNxaHY7UkbG8YZ4ZHiajiLcs0Z6asD1hKJqlS OU+7fS4aGYSumKqWP8Qle3nOvNOUbcSqazBBB8J2DwXl0pHagqPR1vQjVhylDauu56oT5MzWoqMl 2W4GvjOJ3x0iclgB3qmBuQ6Z68wPJV/WMz9vWDQDOxHMxcMo2GaRkSrZafUMSUtjNN/VLVd9xrxR HI02LMVgbAyJdvRtDdqSmJZGXfOyrzxksXcBtpNFyzGk0ueSm9oFh9Ebws5SFRq1dCwPSoZdkUn0 FEvFWiIcgkpzLXuCPRZKhcAfg8wLW19vdmn6hDSoCVVJaTSRWLt/QTv4u3q3FVxcXHBx8Yovv/zS f+P09JQnT568tSfwwL3vbSLvq/F+Kwz4qYukcYachN8l9+lcxxexWGNeM7HfUSdwHYz4R9XzRk4q 8gPO0HX3vTkn36mIgzUnKBZNxzJPfcBThKUiqkiMYtWkXFaJz00tmoLDzPFEFeynAf8YIt+AP19X WNNwlCr+vpSPuthnIiKzITAVRyOJZchwtBBdJU8eMy9z1t2GmV6AXXi7dt3XjN2G8SDJ847LNuaV a1gmLbENGAcJr8uGZRtxpIVcqvzCYiWs5Qb6QKPiCO1ij9XJw5CpT6zHHltcSBshirkpa3a6itMo 4Fq1XLQO3Y45eLnjRwX6TEB2wlA1nPYrroIJ3xyGXI4Lzt0N+9HYo3vEyCP5uExrPhO34U2NSRzi qrBD4w1LZ6YkK9aoumKWxyyjHUb1NfEgaKS7bMNvoYItTL9mPl9wfHz0H20fH0LJBcLtiMT/+zsI W1SGhU8DSWntE5gS7V6RuxfMcVy6MaG+/eBqAr3Hs8WaTyYhzl7yWV0xXyx5HYpRJvULSFHCm1oQ wIrjzDC2O0z1Cx5Gmm/NQ16uIzq53euFu+V8xioJBn/0lGOT9L7kuFi2E1BzH02Qy4CySVi1Iknt 2U1jnKrZKUXW0bLoLX8hJg0jXJhR1T1Wxmq04riTOMTAdZiwpy1TJQTYlqEr/W3qOSOu3EdctlMf NpUg6/N5QI9l3V+T24BWHssEfrH7thmorPLq+MeyVRttfEI/dMaP0YxiTWpE+iGK9paZW1NKdMI4 nJaj7rBFRA893bwiOu/gsdg1FMn5hnuTxu/+9KynDGNuon1P4hB08i0l9a5+/RUIm/rs7Oxfg5pv eyf0Phe/HyJq38ZzejCgXJfbxxB8xGRYcqbWDMGKdRcxq4V3BbEJWbQF83aBMgMnuudEcDVDy5+X ayI1QrtddpOeaTInEt56r7nflWzSfWZrQULLY1T+9mykNEPRk4uqTHYgjaEyA8uNwhQJQz5HW0Xd txTdNfsCLkw1rZtCHDBSNb3ID8qWe03LeakYkjGt6XikWl4NhkW5xgShhxhedQ3NYPmsFjNNgYtD FsOUp8WIUm42+9Yf5WTMJ7KFnw4QaYZ/tWtxUQdsjKPXAU6LtiwnNilW7EnDVnLqRIwR7nLPVdyI qfb1Hg/SHT8SVKVvQK24qlomgTyHQbWCjdkOzksOq4wMs2DEMpJ/CuHWeyjjTuExY5PJiPVd/VZu CW851e+/+f2hlEE89sakPNIt43DBBTNelMKs2pDYiiRumTc1e2HEejwh++6CeC3YZ8NlZxgHMndY EjrRmMvn8B7XJiFsN+zbgkuMvy2Uw2ZZ1uy3MYw1S1syrTKCYkI9amgzAR463z9LAzkaNuS2oR40 p0lFomo2YU4wCKeqY12LLWfKQb/kOB0k28A01jxLDlBaemY9BzZgZ9YyOteSOGN46DyJ9bJaeZLC Wb7LZfM1k6hkZEMiE1FL72xTszsEzCU/JTEH+4CkPMV+E2OuoTtUtCctygpXvmJ3cYN1NQ/GF2yO P95SWbMZSl37pv1JbripWtbh91SgSr4qijznqXnI8+Wetw8Jx2wSDmRNQDSDo4cKcj6Y2jLit6SH f+fD39X/cEv4a3nBbtEe77LBL2M8U6b0zIjytZcubPqOZ2WC6x55dfxl3XCi3/DwfMnVR7tciEA1 ukQ3BRPdM+8foSJHFi7p+5aVS7lpYNWsfVYsCDU3ccHEOhK5ZjwYebtN3W2bZwL9m9ULRnZraLFa c1NXhKki6jd0MotnM9ZhTD/kHFYbqmpFW0vzXdDQEmg98cSGTX/F9XLBJ28azLVINTraoYf7CSfZ hBe1LIZzduPGzyJm2nC1rshaSFTkd36Vn/+TsaMGK1ERAX9IKyyRUGvPfjLj95u/kn+19Baeoyfn zA4mrOod2kGybxtiCaEOA/fDwFuV2FcMD2XBHvOVesxVGdEOkveSeTJLP1jWhSNupUf3YdWtied2 EuOXFPv5pVcgDfF3+YLdCibfxaJ4u3O7/cP/0F7yLhdhkYyW5ZhByQ7jymeIQhISHXK1btgLe+Y7 mgdYPg9bz3Ry1jHRA426tx1NCWYk5RwrOwrhgxUrDnvRhwlUWYa1exaFw4UyrNzTagk/tFhjya3s sqzn5u/LoiS0Tm24aQWNbAi7DZlMNg4bbBiQ+riDJjCaxBn+VIpluuB8NSIPp+Q6JNUNlRIdlSIp FZ/XM1z2FJONtjyz1jHqHLbvudcpBFDwrWtYq60KTfUDh+mGnWxJdRDjauMXrPvZJZ/2z0lna6pP Y+JnFdHLkp3jawKd+oZ7FgTERnarPSO5VY4r+rxlEU95rs54WdyjGdbsJgsv1BDb0LoJ2d3vOYss WfwjnvoPoG57rbcwwLviv9Y/ATvy/oowVyCnAAAAAElFTkSuQmCC