20210224 08290700 1.0 FALSE GISOWNER.T2022_ACS5yr_Block_Groups_SACOG_Region 002 0.000 Server=sql-svr; Service=sde:sqlserver:sql-svr; Database=GISData; User=gisowner; Version=sde.DEFAULT ArcSDE Connection Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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>PROJCS[&quot;NAD_1983_StatePlane_California_II_FIPS_0402_Feet&quot;,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]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,6561666.666666666],PARAMETER[&quot;False_Northing&quot;,1640416.666666667],PARAMETER[&quot;Central_Meridian&quot;,-122.0],PARAMETER[&quot;Standard_Parallel_1&quot;,38.33333333333334],PARAMETER[&quot;Standard_Parallel_2&quot;,39.83333333333334],PARAMETER[&quot;Latitude_Of_Origin&quot;,37.66666666666666],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2226]]</WKT><XOrigin>-115211800</XOrigin><YOrigin>-93821500</YOrigin><XYScale>1600</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.02</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102642</WKID><LatestWKID>2226</LatestWKID></ProjectedCoordinateSystem> NAD_1983_StatePlane_California_II_FIPS_0402_Feet FeatureClassToFeatureClass tl_2020_06_tabblock20 "I:\Census 2020\TIGER 2020\TIGER_Geographies" Blocks2020_Region.shp # "STATEFP20 "STATEFP20" true true false 2 Text 0 0,First,#,tl_2020_06_tabblock20,STATEFP20,0,2;COUNTYFP20 "COUNTYFP20" true true false 3 Text 0 0,First,#,tl_2020_06_tabblock20,COUNTYFP20,0,3;TRACTCE20 "TRACTCE20" true true false 6 Text 0 0,First,#,tl_2020_06_tabblock20,TRACTCE20,0,6;BLOCKCE20 "BLOCKCE20" true true false 4 Text 0 0,First,#,tl_2020_06_tabblock20,BLOCKCE20,0,4;GEOID20 "GEOID20" true true false 15 Text 0 0,First,#,tl_2020_06_tabblock20,GEOID20,0,15;NAME20 "NAME20" true true false 10 Text 0 0,First,#,tl_2020_06_tabblock20,NAME20,0,10;MTFCC20 "MTFCC20" true true false 5 Text 0 0,First,#,tl_2020_06_tabblock20,MTFCC20,0,5;UR20 "UR20" true true false 1 Text 0 0,First,#,tl_2020_06_tabblock20,UR20,0,1;UACE20 "UACE20" true true false 5 Text 0 0,First,#,tl_2020_06_tabblock20,UACE20,0,5;UATYPE20 "UATYPE20" true true false 1 Text 0 0,First,#,tl_2020_06_tabblock20,UATYPE20,0,1;FUNCSTAT20 "FUNCSTAT20" true true false 1 Text 0 0,First,#,tl_2020_06_tabblock20,FUNCSTAT20,0,1;ALAND20 "ALAND20" true true false 14 Double 0 14,First,#,tl_2020_06_tabblock20,ALAND20,-1,-1;AWATER20 "AWATER20" true true false 14 Double 0 14,First,#,tl_2020_06_tabblock20,AWATER20,-1,-1;INTPTLAT20 "INTPTLAT20" true true false 11 Text 0 0,First,#,tl_2020_06_tabblock20,INTPTLAT20,0,11;INTPTLON20 "INTPTLON20" true true false 12 Text 0 0,First,#,tl_2020_06_tabblock20,INTPTLON20,0,12" # CalculateField Blocks2020_Region geoid20_bg "[STATEFP20] & [COUNTYFP20] & [TRACTCE20] & [BLOCKCE20]" VB # CopyFeatures "I:\Census 2020\TIGER 2020\TIGER_Geographies\2020 Census Geographies\Blocks2020_Region.shp" "I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb\Blocks2020_Region" # # # # FeatureClassToFeatureClass Blocks2020_Region "I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb" Blocks2020_Region_join # "STATEFP20 "STATEFP20" true true false 2 Text 0 0,First,#,Blocks2020_Region,Blocks2020_Region.STATEFP20,0,2;COUNTYFP20 "COUNTYFP20" true true false 3 Text 0 0,First,#,Blocks2020_Region,Blocks2020_Region.COUNTYFP20,0,3;TRACTCE20 "TRACTCE20" true true false 6 Text 0 0,First,#,Blocks2020_Region,Blocks2020_Region.TRACTCE20,0,6;BLOCKCE20 "BLOCKCE20" true true false 4 Text 0 0,First,#,Blocks2020_Region,Blocks2020_Region.BLOCKCE20,0,4;GEOID20 "GEOID20" true true false 15 Text 0 0,First,#,Blocks2020_Region,Blocks2020_Region.GEOID20,0,15;NAME20 "NAME20" true true false 10 Text 0 0,First,#,Blocks2020_Region,Blocks2020_Region.NAME20,0,10;MTFCC20 "MTFCC20" true true false 5 Text 0 0,First,#,Blocks2020_Region,Blocks2020_Region.MTFCC20,0,5;UR20 "UR20" true true false 1 Text 0 0,First,#,Blocks2020_Region,Blocks2020_Region.UR20,0,1;UACE20 "UACE20" true true false 5 Text 0 0,First,#,Blocks2020_Region,Blocks2020_Region.UACE20,0,5;UATYPE20 "UATYPE20" true true false 1 Text 0 0,First,#,Blocks2020_Region,Blocks2020_Region.UATYPE20,0,1;FUNCSTAT20 "FUNCSTAT20" true true false 1 Text 0 0,First,#,Blocks2020_Region,Blocks2020_Region.FUNCSTAT20,0,1;ALAND20 "ALAND20" true true false 8 Double 0 0,First,#,Blocks2020_Region,Blocks2020_Region.ALAND20,-1,-1;AWATER20 "AWATER20" true true false 8 Double 0 0,First,#,Blocks2020_Region,Blocks2020_Region.AWATER20,-1,-1;INTPTLAT20 "INTPTLAT20" true true false 11 Text 0 0,First,#,Blocks2020_Region,Blocks2020_Region.INTPTLAT20,0,11;INTPTLON20 "INTPTLON20" true true false 12 Text 0 0,First,#,Blocks2020_Region,Blocks2020_Region.INTPTLON20,0,12;geoid20_bg "geoid20_bg" true true false 50 Text 0 0,First,#,Blocks2020_Region,Blocks2020_Region.geoid20_bg,0,50;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Blocks2020_Region,Blocks2020_Region.Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Blocks2020_Region,Blocks2020_Region.Shape_Area,-1,-1;File_Identification "File Identification" true true false 255 Text 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.File_Identification,0,255;Summary_Level "Summary Level" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Summary_Level,-1,-1;Geographic_Record_Identifier "Geographic Record Identifier" true true false 255 Text 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Geographic_Record_Identifier,0,255;GEOIDTract "GEOIDTract" true true false 255 Text 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.GEOIDTract,0,255;GEOIDBlockGroup "GEOIDBlockGroup" true true false 255 Text 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.GEOIDBlockGroup,0,255;GEOIDBlock "GEOIDBlock" true true false 255 Text 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.GEOIDBlock,0,255;State__FIPS_ "State (FIPS)" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.State__FIPS_,-1,-1;County__FIPS_ "County (FIPS)" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.County__FIPS_,-1,-1;FIPS_County_Class_Code "FIPS County Class Code" true true false 255 Text 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.FIPS_County_Class_Code,0,255;County__NS_ "County (NS)" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.County__NS_,-1,-1;Place__FIPS_ "Place (FIPS)" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Place__FIPS_,-1,-1;FIPS_Place_Class_Code "FIPS Place Class Code" true true false 255 Text 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.FIPS_Place_Class_Code,0,255;Place__NS_ "Place (NS)" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Place__NS_,-1,-1;Census_Tract "Census Tract" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Census_Tract,-1,-1;Block_Group "Block Group" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Block_Group,-1,-1;Block "Block" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Block,-1,-1;Metropolitan_Statistical_Area_M "Metropolitan Statistical Area/Micropolitan Statistical Area" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Metropolitan_Statistical_Area_M,-1,-1;Metropolitan_Micropolitan_Indic "Metropolitan/Micropolitan Indicator" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Metropolitan_Micropolitan_Indic,-1,-1;Combined_Statistical_Area "Combined Statistical Area" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Combined_Statistical_Area,-1,-1;Urban_Area "Urban Area" true true false 255 Text 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Urban_Area,0,255;Urban_Area_Type "Urban Area Type" true true false 255 Text 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Urban_Area_Type,0,255;Urban_Rural "Urban/Rural" true true false 255 Text 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Urban_Rural,0,255;ZIP_Code_Tabulation_Area__5_Dig "ZIP Code Tabulation Area (5-Digit)" true true false 255 Text 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.ZIP_Code_Tabulation_Area__5_Dig,0,255;School_District__Elementary_ "School District (Elementary)" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.School_District__Elementary_,-1,-1;School_District__Secondary_ "School District (Secondary)" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.School_District__Secondary_,-1,-1;School_District__Unified_ "School District (Unified)" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.School_District__Unified_,-1,-1;Public_Use_Microdata_Area "Public Use Microdata Area" true true false 255 Text 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Public_Use_Microdata_Area,0,255;Area_Base_Name "Area Base Name" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Area_Base_Name,-1,-1;Area_Name_Legal_Statistical_Are "Area Name-Legal/Statistical Area Description (LSAD) Term-Part In" true true false 255 Text 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Area_Name_Legal_Statistical_Are,0,255;Population_Count__100__ "Population Count (100%)" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Population_Count__100__,-1,-1;Housing_Unit_Count__100__ "Housing Unit Count (100%)" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Housing_Unit_Count__100__,-1,-1;Total_Population "Total Population" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total_Population,-1,-1;Total__Hispanic_or_Latino "Total__Hispanic or Latino" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Hispanic_or_Latino,-1,-1;Total__Not_Hispanic_or_Latino "Total__Not Hispanic or Latino" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Not_Hispanic_or_Latino,-1,-1;Total__Not_Hispanic_or_Latino__ "Total__Not Hispanic or Latino__Population of one race__White alo" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Not_Hispanic_or_Latino__,-1,-1;Total__Not_Hispanic_or_Latino_1 "Total__Not Hispanic or Latino__Population of one race__Black or" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Not_Hispanic_or_Latino_1,-1,-1;Total__Not_Hispanic_or_Latino_2 "Total__Not Hispanic or Latino__Population of one race__American" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Not_Hispanic_or_Latino_2,-1,-1;Total__Not_Hispanic_or_Latino_3 "Total__Not Hispanic or Latino__Population of one race__Asian alo" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Not_Hispanic_or_Latino_3,-1,-1;Total__Not_Hispanic_or_Latino_4 "Total__Not Hispanic or Latino__Population of one race__Native Ha" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Not_Hispanic_or_Latino_4,-1,-1;Total__Not_Hispanic_or_Latino_5 "Total__Not Hispanic or Latino__Population of one race__Some Othe" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Not_Hispanic_or_Latino_5,-1,-1;Total__Not_Hispanic_or_Latino_6 "Total__Not Hispanic or Latino__Population of two or more races" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Not_Hispanic_or_Latino_6,-1,-1;Total_Housing_Units "Total Housing Units" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total_Housing_Units,-1,-1;Total__Occupied_Housing_Units "Total__Occupied Housing Units" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Occupied_Housing_Units,-1,-1;Total__Vacant_Housing_Units "Total__Vacant Housing Units" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Vacant_Housing_Units,-1,-1;Total__Institutionalized_popula "Total__Institutionalized population" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Institutionalized_popula,-1,-1;Total__Institutionalized_popu_1 "Total__Institutionalized population__Correctional facilities for" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Institutionalized_popu_1,-1,-1;Total__Institutionalized_popu_2 "Total__Institutionalized population__Juvenile facilities" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Institutionalized_popu_2,-1,-1;Total__Institutionalized_popu_3 "Total__Institutionalized population__Nursing facilities/Skilled-" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Institutionalized_popu_3,-1,-1;Total__Institutionalized_popu_4 "Total__Institutionalized population__Other institutional facilit" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Institutionalized_popu_4,-1,-1;Total__Noninstitutionalized_pop "Total__Noninstitutionalized population" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Noninstitutionalized_pop,-1,-1;Total__Noninstitutionalized_p_1 "Total__Noninstitutionalized population__College/University stude" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Noninstitutionalized_p_1,-1,-1;Total__Noninstitutionalized_p_2 "Total__Noninstitutionalized population__Military quarters" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Noninstitutionalized_p_2,-1,-1;Total__Noninstitutionalized_p_3 "Total__Noninstitutionalized population__Other noninstitutional f" true true false 8 Double 0 0,First,#,Blocks2020_Region,T_Regional_Block_Data$_.Total__Noninstitutionalized_p_3,-1,-1;ObjectID "ObjectID" false true false 4 Long 0 9,First,#,Blocks2020_Region,T_Regional_Block_Data$_.ObjectID,-1,-1" # DeleteField Blocks2020_Region_join UR20 "Delete Fields" DeleteField Blocks2020_Region_join UACE20 "Delete Fields" DeleteField Blocks2020_Region_join UATYPE20 "Delete Fields" Rename "I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb\Blocks2020_Region_join" "I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb\Blocks2020_Region" FeatureClass 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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Blocks2020_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>Geographic_Record_Identifier</field_name><new_field_name>GEOID</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> DeleteField Blocks2020_Region_join STATEFP20 "Delete Fields" DeleteField Blocks2020_Region_join COUNTYFP20 "Delete Fields" DeleteField Blocks2020_Region_join GEOID20 "Delete Fields" DeleteField Blocks2020_Region_join geoid20_bg "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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Blocks2020_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>NAME20</field_name><new_field_name>NAME</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> DeleteField "Region Complete\Blocks2020_Region" BLOCKCE20 "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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Blocks2020_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>TRACTCE20</field_name><field_name>NAME</field_name><field_name>MTFCC20</field_name><field_name>FUNCSTAT20</field_name><field_name>ALAND20</field_name><field_name>AWATER20</field_name><field_name>INTPTLAT20</field_name><field_name>INTPTLON20</field_name></DeleteField></workflow></operationSequence> 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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Blocks2020_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>File_Identification</field_name><new_field_name>FILEID</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Summary_Level</field_name><new_field_name>SUMLEV</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>State__FIPS_</field_name><new_field_name>STATE</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>County__FIPS_</field_name><new_field_name>COUNTY</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIPS_County_Class_Code</field_name><new_field_name>COUNTYCC</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>County__NS_</field_name><new_field_name>COUNTYNS</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Place__FIPS_</field_name><new_field_name>PLACE</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIPS_Place_Class_Code</field_name><new_field_name>PLACECC</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Place__NS_</field_name><new_field_name>PLACENS</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Census_Tract</field_name><new_field_name>TRACT</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Block_Group</field_name><new_field_name>BLKGRP</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Block</field_name><new_field_name>BLOCK</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Metropolitan_Statistical_Area_M</field_name><new_field_name>CBSA</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Metropolitan_Micropolitan_Indic</field_name><new_field_name>MEMI</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Combined_Statistical_Area</field_name><new_field_name>CSA</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Urban_Area</field_name><new_field_name>UA</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Urban_Area_Type</field_name><new_field_name>UATYPE</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Urban_Rural</field_name><new_field_name>UR</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>ZIP_Code_Tabulation_Area__5_Dig</field_name><new_field_name>ZCTA</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>School_District__Elementary_</field_name><new_field_name>SDELM</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>School_District__Secondary_</field_name><new_field_name>SDSEC</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>School_District__Unified_</field_name><new_field_name>SDUNI</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Public_Use_Microdata_Area</field_name><new_field_name>PUMA</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Area_Base_Name</field_name><new_field_name>BASENAME</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Area_Name_Legal_Statistical_Are</field_name><new_field_name>NAME</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Population_Count__100__</field_name><new_field_name>POP100</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Housing_Unit_Count__100__</field_name><new_field_name>HU100</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> 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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Blocks2020_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>ObjectID</field_name></DeleteField></workflow><workflow><AlterField><field_name>Total_Population</field_name><new_field_name>Population</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Hispanic_or_Latino</field_name><new_field_name>HispanicOrigin</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Not_Hispanic_or_Latino</field_name><new_field_name>NotHispanic</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Not_Hispanic_or_Latino__</field_name><new_field_name>NH_Wht</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Not_Hispanic_or_Latino_1</field_name><new_field_name>NH_Blk</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Not_Hispanic_or_Latino_2</field_name><new_field_name>NH_Ind</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Not_Hispanic_or_Latino_3</field_name><new_field_name>NH_Asn</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Not_Hispanic_or_Latino_4</field_name><new_field_name>NH_Hwn</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Not_Hispanic_or_Latino_5</field_name><new_field_name>NH_Oth</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Not_Hispanic_or_Latino_6</field_name><new_field_name>NH_2</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total_Housing_Units</field_name><new_field_name>Housing_Units</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Occupied_Housing_Units</field_name><new_field_name>HU_Occupied</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Vacant_Housing_Units</field_name><new_field_name>HU_Vacant</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Institutionalized_popula</field_name><new_field_name>GQ_Institutional_Pop</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Institutionalized_popu_1</field_name><new_field_name>GQ_Inst_CFAdult</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Institutionalized_popu_2</field_name><new_field_name>GQ_Inst_Juvenile</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Institutionalized_popu_3</field_name><new_field_name>GQ_Inst_Nursing</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Institutionalized_popu_4</field_name><new_field_name>GQ_Inst_Oth</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Noninstitutionalized_pop</field_name><new_field_name>GQ_NonInst_Pop</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Noninstitutionalized_p_1</field_name><new_field_name>GQ_NonInst_Student</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Noninstitutionalized_p_2</field_name><new_field_name>GQ_NonInst_Military</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>Total__Noninstitutionalized_p_3</field_name><new_field_name>GQ_NonInst_Oth</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> 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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Blocks2020_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>GEOIDTract</field_name><new_field_name>GEOCODETract</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>GEOIDBlockGroup</field_name><new_field_name>GEOCODEBlockGroup</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>GEOIDBlock</field_name><new_field_name>GEOCODEBlock</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> PairwiseDissolve "Region Complete\Blocks2020_Region" "I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb\BlockGroups2020_Region2" GEOCODEBlockGroup "POP100 SUM;HU100 SUM;Population SUM;HispanicOrigin SUM;NotHispanic SUM;NH_Wht SUM;NH_Blk SUM;NH_Ind SUM;NH_Asn SUM;NH_Hwn SUM;NH_Oth SUM;NH_2 SUM;Housing_Units SUM;HU_Occupied SUM;HU_Vacant SUM;GQ_Institutional_Pop SUM;GQ_Inst_CFAdult SUM;GQ_Inst_Juvenile SUM;GQ_Inst_Nursing SUM;GQ_Inst_Oth SUM;GQ_NonInst_Pop SUM;GQ_NonInst_Student SUM;GQ_NonInst_Military SUM;GQ_NonInst_Oth SUM;BASENAME MEAN;NAME FIRST;BLKGRP FIRST;TRACT FIRST;CSA FIRST;COUNTY FIRST;COUNTYNS FIRST;FILEID FIRST;COUNTYCC FIRST;PLACECC FIRST;GEOCODEBlockGroup FIRST;GEOCODETract FIRST;GEOID FIRST;CBSA FIRST;MEMI FIRST;PLACE FIRST;PLACENS FIRST;PUMA FIRST;SDELM FIRST;SDSEC FIRST;SDUNI FIRST;STATE FIRST;SUMLEV FIRST" SINGLE_PART 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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BlockGroups2020_Region2</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>SUM_GQ_NonInst_Pop</field_name><new_field_name>GQ_NonInst_Pop</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>SUM_GQ_NonInst_Student</field_name><new_field_name>GQ_NonInst_Student</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>SUM_GQ_NonInst_Military</field_name><new_field_name>GQ_NonInst_Military</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>SUM_GQ_NonInst_Oth</field_name><new_field_name>GQ_NonInst_Oth</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>MEAN_BASENAME</field_name><new_field_name>BASENAME</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_NAME</field_name><new_field_name>NAME</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_BLKGRP</field_name><new_field_name>BLKGRP</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_TRACT</field_name><new_field_name>TRACT</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_CSA</field_name><new_field_name>CSA</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_COUNTY</field_name><new_field_name>COUNTY</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_COUNTYNS</field_name><new_field_name>COUNTYNS</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_FILEID</field_name><new_field_name>FILEID</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_PLACECC</field_name><new_field_name>PLACECC</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_GEOCODETract</field_name><new_field_name>GEOCODETract</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_PLACE</field_name><new_field_name>PLACE</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_PLACENS</field_name><new_field_name>PLACENS</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_PUMA</field_name><new_field_name>PUMA</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_SDELM</field_name><new_field_name>SDELM</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_SDSEC</field_name><new_field_name>SDSEC</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_SDUNI</field_name><new_field_name>SDUNI</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_STATE</field_name><new_field_name>STATE</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_SUMLEV</field_name><new_field_name>SUMLEV</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> 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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BlockGroups2020_Region2</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>SUM_POP100</field_name><new_field_name>POP100</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>SUM_HU100</field_name><new_field_name>HU100</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>SUM_Population</field_name><new_field_name>Population_P1</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>SUM_HispanicOrigin</field_name><new_field_name>HispanicOrigin</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_GEOID</field_name><new_field_name>GEOID</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_CBSA</field_name><new_field_name>CBSA</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>FIRST_MEMI</field_name><new_field_name>MEMI</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> 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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BlockGroups2020_Region2</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" "<operationSequence><workflow><AlterField><field_name>FIRST_COUNTYCC</field_name><new_field_name>COUNTYCC</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AddField><field_name>UA</field_name><field_type>LONG</field_type><field_alias>Urban Area</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>" 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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BlockGroups2020_Region2</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" "<operationSequence><workflow><AddField><field_name>UATYPE</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_alias>Urban Area Type</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>UR</field_name><field_type>DATE</field_type><field_alias>Urban/Rural</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>ZCTA</field_name><field_type>DOUBLE</field_type><field_alias>ZIP Code Tabulation Area (5-Digit)</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>" 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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BlockGroups2020_Region2</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>UA</field_name><field_name>UR</field_name></DeleteField></workflow></operationSequence> 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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BlockGroups2020_Region2</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" "<operationSequence><workflow><AddField><field_name>UA</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_alias>Urban Area</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>UR</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_alias>Urban/Rural</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>" 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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BlockGroups2020_Region2</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>SUM_NotHispanic</field_name><new_field_name>NotHispanic</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>SUM_NH_Wht</field_name><new_field_name>NH_Wht</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>SUM_NH_Blk</field_name><new_field_name>NH_Blk</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>SUM_NH_Ind</field_name><new_field_name>NH_Ind</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> 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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BlockGroups2020_Region2</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>SUM_NH_Asn</field_name><new_field_name>NH_Asn</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>SUM_Housing_Units</field_name><new_field_name>Housing_Units</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> 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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BlockGroups2020_Region2</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>SUM_HU_Occupied</field_name><new_field_name>HU_Occupied</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>SUM_HU_Vacant</field_name><new_field_name>HU_Vacant</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>SUM_GQ_Institutional_Pop</field_name><new_field_name>GQ_Institutional_Pop</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>SUM_GQ_Inst_CFAdult</field_name><new_field_name>GQ_Inst_CFAdult</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>SUM_GQ_Inst_Juvenile</field_name><new_field_name>GQ_Inst_Juvenile</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>SUM_GQ_Inst_Nursing</field_name><new_field_name>GQ_Inst_Nursing</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>SUM_GQ_Inst_Oth</field_name><new_field_name>GQ_Inst_Oth</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> 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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BlockGroups2020_Region2</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>FIRST_GEOCODEBlockGroup</field_name></DeleteField></workflow></operationSequence> DeleteField BlockGroups2020_Region2 BASENAME "Delete Fields" DeleteField BlockGroups2020_Region2 NAME "Delete Fields" DeleteField BlockGroups2020_Region2 GEOID "Delete Fields" FeatureClassToFeatureClass BlockGroups2020_Region2 "I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb" BlockGroups2020_Region20201 # "FILEID "File Identification" true true false 255 Text 0 0,First,#,BlockGroups2020_Region2,FILEID,0,255;SUMLEV "Summary Level" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,SUMLEV,-1,-1;GEOCODE "Geographic Code Identifier" true true false 255 Text 0 0,First,#,BlockGroups2020_Region2,GEOCODEBlockGroup,0,255;GEOCODETract "GEOCODE Tract" true true false 255 Text 0 0,First,#,BlockGroups2020_Region2,GEOCODETract,0,255;STATE "State (FIPS)" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,STATE,-1,-1;COUNTY "County (FIPS)" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,COUNTY,-1,-1;COUNTYCC "FIPS County Class Code" true true false 255 Text 0 0,First,#,BlockGroups2020_Region2,COUNTYCC,0,255;COUNTYNS "County (NS)" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,COUNTYNS,-1,-1;PLACE "Place (FIPS)" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,PLACE,-1,-1;PLACECC "FIPS Place Class Code" true true false 255 Text 0 0,First,#,BlockGroups2020_Region2,PLACECC,0,255;PLACENS "Place (NS)" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,PLACENS,-1,-1;TRACT "Census Tract" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,TRACT,-1,-1;BLKGRP "Block Group" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,BLKGRP,-1,-1;CBSA "Metropolitan Statistical Area/Micropolitan Statistical Area" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,CBSA,-1,-1;MEMI "Metropolitan/Micropolitan Indicator" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,MEMI,-1,-1;CSA "Combined Statistical Area" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,CSA,-1,-1;UA "Urban Area" true true false 255 Text 0 0,First,#,BlockGroups2020_Region2,UA,0,255;UATYPE "Urban Area Type" true true false 255 Text 0 0,First,#,BlockGroups2020_Region2,UATYPE,0,255;UR "Urban/Rural" true true false 255 Text 0 0,First,#,BlockGroups2020_Region2,UR,0,255;ZCTA "ZIP Code Tabulation Area (5-Digit)" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,ZCTA,-1,-1;SDELM "School District (Elementary)" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,SDELM,-1,-1;SDSEC "School District (Secondary)" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,SDSEC,-1,-1;SDUNI "School District (Unified)" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,SDUNI,-1,-1;PUMA "Public Use Microdata Area" true true false 255 Text 0 0,First,#,BlockGroups2020_Region2,PUMA,0,255;POP100 "Population Count (100%)" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,POP100,-1,-1;HU100 "Housing Unit Count (100%)" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,HU100,-1,-1;Population_P1 "Total Population" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,Population_P1,-1,-1;HispanicOrigin "Total__Hispanic or Latino" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,HispanicOrigin,-1,-1;NotHispanic "Total__Not Hispanic or Latino" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,NotHispanic,-1,-1;NH_Wht "Total__Not Hispanic or Latino__Population of one race__White alone" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,NH_Wht,-1,-1;NH_Blk "Total__Not Hispanic or Latino__Population of one race__Black or African American alone" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,NH_Blk,-1,-1;NH_Ind "Total__Not Hispanic or Latino__Population of one race__American Indian and Alaska Native alone" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,NH_Ind,-1,-1;NH_Asn "Total__Not Hispanic or Latino__Population of one race__Asian alone" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,NH_Asn,-1,-1;SUM_NH_Hwn "Total__Not Hispanic or Latino__Population of one race__Native Hawaiian and Other Pacific Islander alone" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,SUM_NH_Hwn,-1,-1;SUM_NH_Oth "Total__Not Hispanic or Latino__Population of one race__Some Other Race alone" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,SUM_NH_Oth,-1,-1;SUM_NH_2 "Total__Not Hispanic or Latino__Population of two or more races" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,SUM_NH_2,-1,-1;Housing_Units "Total__Housing Units" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,Housing_Units,-1,-1;HU_Occupied "Total__Housing Units Occupied" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,HU_Occupied,-1,-1;HU_Vacant "Total__Housing Units Vacant" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,HU_Vacant,-1,-1;GQ_Institutional_Pop "Total__Institutionalized population" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,GQ_Institutional_Pop,-1,-1;GQ_Inst_CFAdult "Total__Institutionalized population__Correctional facilities for adults" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,GQ_Inst_CFAdult,-1,-1;GQ_Inst_Juvenile "Total__Institutionalized population__Juvenile facilities" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,GQ_Inst_Juvenile,-1,-1;GQ_Inst_Nursing "Total__Institutionalized population__Nursing facilities/Skilled-nursing facilities" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,GQ_Inst_Nursing,-1,-1;GQ_Inst_Oth "Total__Institutionalized population__Other institutional facilities" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,GQ_Inst_Oth,-1,-1;GQ_NonInst_Pop "Total__Noninstitutionalized population" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,GQ_NonInst_Pop,-1,-1;GQ_NonInst_Student "Total__Noninstitutionalized population__College/University student housing" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,GQ_NonInst_Student,-1,-1;GQ_NonInst_Military "Total__Noninstitutionalized population__Military quarters" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,GQ_NonInst_Military,-1,-1;GQ_NonInst_Oth "Total__Noninstitutionalized population__Other noninstitutional facilities" true true false 8 Double 0 0,First,#,BlockGroups2020_Region2,GQ_NonInst_Oth,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,BlockGroups2020_Region2,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,BlockGroups2020_Region2,Shape_Area,-1,-1" # Rename "I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb\BlockGroups2020_Region20201" "I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb\BlockGroups2020_Region" FeatureClass 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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BlockGroups2020_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>SDELM</field_name><field_name>SDSEC</field_name><field_name>SDUNI</field_name></DeleteField></workflow></operationSequence> 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/2.9.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BlockGroups2020_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" "<operationSequence><workflow><AddField><field_name>Population18_P3</field_name><field_type>DOUBLE</field_type><field_alias>Total population 18 years and over</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>" 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/3.0.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BlockGroups2020_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>Population_P1</field_name><new_field_name>PopulationP1</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> ExportFeatures Region\BlockGroups2020_Region "I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb\BlockGroups2020_Region1" # NOT_USE_ALIAS "FILEID "File Identification" true true false 255 Text 0 0,First,#,Region\BlockGroups2020_Region,FILEID,0,255;SUMLEV "Summary Level" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,SUMLEV,-1,-1;GEOCODE "Geographic Code Identifier" true true false 255 Text 0 0,First,#,Region\BlockGroups2020_Region,GEOCODE,0,255;GEOCODETract "GEOCODE Tract" true true false 255 Text 0 0,First,#,Region\BlockGroups2020_Region,GEOCODETract,0,255;STATE "State (FIPS)" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,STATE,-1,-1;COUNTY "County (FIPS)" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,COUNTY,-1,-1;COUNTYCC "FIPS County Class Code" true true false 255 Text 0 0,First,#,Region\BlockGroups2020_Region,COUNTYCC,0,255;COUNTYNS "County (NS)" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,COUNTYNS,-1,-1;PLACE "Place (FIPS)" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,PLACE,-1,-1;PLACECC "FIPS Place Class Code" true true false 255 Text 0 0,First,#,Region\BlockGroups2020_Region,PLACECC,0,255;PLACENS "Place (NS)" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,PLACENS,-1,-1;TRACT "Census Tract" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,TRACT,-1,-1;BLKGRP "Block Group" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,BLKGRP,-1,-1;CBSA "Metropolitan Statistical Area/Micropolitan Statistical Area" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,CBSA,-1,-1;MEMI "Metropolitan/Micropolitan Indicator" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,MEMI,-1,-1;CSA "Combined Statistical Area" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,CSA,-1,-1;UA "Urban Area" true true false 255 Text 0 0,First,#,Region\BlockGroups2020_Region,UA,0,255;UATYPE "Urban Area Type" true true false 255 Text 0 0,First,#,Region\BlockGroups2020_Region,UATYPE,0,255;UR "Urban/Rural" true true false 255 Text 0 0,First,#,Region\BlockGroups2020_Region,UR,0,255;ZCTA "ZIP Code Tabulation Area (5-Digit)" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,ZCTA,-1,-1;PUMA "Public Use Microdata Area" true true false 255 Text 0 0,First,#,Region\BlockGroups2020_Region,PUMA,0,255;POP100 "Population Count (100%)" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,POP100,-1,-1;HU100 "Housing Unit Count (100%)" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,HU100,-1,-1;PopulationP1 "Total Population" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,PopulationP1,-1,-1;Population18_P3 "Total population 18 years and over" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,Population18_P3,-1,-1;HispanicOrigin "Total__Hispanic or Latino" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,HispanicOrigin,-1,-1;NotHispanic "Total__Not Hispanic or Latino" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,NotHispanic,-1,-1;NH_Wht "Total__Not Hispanic or Latino__Population of one race__White alone" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,NH_Wht,-1,-1;NH_Blk "Total__Not Hispanic or Latino__Population of one race__Black or African American alone" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,NH_Blk,-1,-1;NH_Ind "Total__Not Hispanic or Latino__Population of one race__American Indian and Alaska Native alone" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,NH_Ind,-1,-1;NH_Asn "Total__Not Hispanic or Latino__Population of one race__Asian alone" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,NH_Asn,-1,-1;SUM_NH_Hwn "Total__Not Hispanic or Latino__Population of one race__Native Hawaiian and Other Pacific Islander alone" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,SUM_NH_Hwn,-1,-1;SUM_NH_Oth "Total__Not Hispanic or Latino__Population of one race__Some Other Race alone" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,SUM_NH_Oth,-1,-1;SUM_NH_2 "Total__Not Hispanic or Latino__Population of two or more races" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,SUM_NH_2,-1,-1;Housing_Units "Total__Housing Units" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,Housing_Units,-1,-1;HU_Occupied "Total__Housing Units Occupied" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,HU_Occupied,-1,-1;HU_Vacant "Total__Housing Units Vacant" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,HU_Vacant,-1,-1;GQ_Institutional_Pop "Total__Institutionalized population" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,GQ_Institutional_Pop,-1,-1;GQ_Inst_CFAdult "Total__Institutionalized population__Correctional facilities for adults" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,GQ_Inst_CFAdult,-1,-1;GQ_Inst_Juvenile "Total__Institutionalized population__Juvenile facilities" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,GQ_Inst_Juvenile,-1,-1;GQ_Inst_Nursing "Total__Institutionalized population__Nursing facilities/Skilled-nursing facilities" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,GQ_Inst_Nursing,-1,-1;GQ_Inst_Oth "Total__Institutionalized population__Other institutional facilities" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,GQ_Inst_Oth,-1,-1;GQ_NonInst_Pop "Total__Noninstitutionalized population" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,GQ_NonInst_Pop,-1,-1;GQ_NonInst_Student "Total__Noninstitutionalized population__College/University student housing" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,GQ_NonInst_Student,-1,-1;GQ_NonInst_Military "Total__Noninstitutionalized population__Military quarters" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,GQ_NonInst_Military,-1,-1;GQ_NonInst_Oth "Total__Noninstitutionalized population__Other noninstitutional facilities" true true false 8 Double 0 0,First,#,Region\BlockGroups2020_Region,GQ_NonInst_Oth,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Region\BlockGroups2020_Region,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Region\BlockGroups2020_Region,Shape_Area,-1,-1" # Rename "I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb\BlockGroups2020_Region1" "I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb\BlockGroups2020_Region" FeatureClass 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/3.0.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BlockGroups2020_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Countyname</field_name><field_type>LONG</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField "2020 Census Block Groups SACOG Region" Countyname 'El Dorado County' "Python 3" # 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/3.0.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BlockGroups2020_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>Countyname</field_name></DeleteField></workflow></operationSequence> 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/3.0.0'><WorkspaceConnectionString>DATABASE=I:\Census 2020\Census_Data2020_Upload\Census2020_Region.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>BlockGroups2020_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Countyname</field_name><field_type>TEXT</field_type><field_length>50</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField "2020 Census Block Groups SACOG Region" Countyname 'El Dorado County' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "2020 Census Block Groups SACOG Region" Countyname 'Placer County' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "2020 Census Block Groups SACOG Region" Countyname 'Sacramento County' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "2020 Census Block Groups SACOG Region" Countyname 'Sutter County' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "2020 Census Block Groups SACOG Region" Countyname 'Yolo County' "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "2020 Census Block Groups SACOG Region" Countyname 'Yuba County' "Python 3" # Text NO_ENFORCE_DOMAINS CopyFeatures "2020 Census Block Groups SACOG Region" I:\SDE_Connections\SDE-GISData\gisowner@GISData_db.sde\GISOWNER.Census\GISOWNER.T2020_Census_Block_Groups_SACOG_Region # # # # UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/3.1.0'><FeatureDataset>GISOWNER.Census</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e68453050524e5856717145786c635a75745075504c764e705264715234656c7178415139394d4b78496958513d2a00;ENCRYPTED_PASSWORD=00022e687534532f6c6f4373756769443950737957576f356144414b3851364f747174455153624c35735a746544733d2a00;SERVER=sql-svr;INSTANCE=sde:sqlserver:sql-svr;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=sql-svr;DATABASE=GISData;USER=gisowner;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>GISOWNER.T2020_Census_Block_Groups_SACOG_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>MPO</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><field_length>12</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField GISOWNER.T2020_Census_Block_Groups_SACOG_Region MPO "TRPA" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField GISOWNER.T2020_Census_Block_Groups_SACOG_Region MPO "SACOG" "Python 3" # Text NO_ENFORCE_DOMAINS UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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'><FeatureDataset>GISOWNER.Census</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6867356b572f7864336d69656f5061754a345453626d416476314c706444624837666d7244547473776a30733d2a00;ENCRYPTED_PASSWORD=00022e687534532f6c6f4373756769443950737957576f35614f70676d576a524b2b6457724355325a514a5a6865413d2a00;SERVER=sql-svr;INSTANCE=sde:sqlserver:sql-svr;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=sql-svr;DATABASE=GISData;USER=gisowner;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>GISOWNER.T2020_Census_Block_Groups_SACOG_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>ACS5YR22_pop</field_name><field_type>LONG</field_type><field_precision>10</field_precision><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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'><FeatureDataset>GISOWNER.Census</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6867356b572f7864336d69656f5061754a345453626d416476314c706444624837666d7244547473776a30733d2a00;ENCRYPTED_PASSWORD=00022e687534532f6c6f4373756769443950737957576f35614f70676d576a524b2b6457724355325a514a5a6865413d2a00;SERVER=sql-svr;INSTANCE=sde:sqlserver:sql-svr;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=sql-svr;DATABASE=GISData;USER=gisowner;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>GISOWNER.T2020_Census_Block_Groups_SACOG_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>ACS5YR22_pop</field_name><field_type>LONG</field_type><field_precision>10</field_precision><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> ExportFeatures GISOWNER.T2020_Census_Block_Groups_SACOG_Region I:\SDE_Connections\SDE-GISData\gisowner@GISData_db.sde\GISOWNER.Census\GISOWNER.T2022_ACS5yr_Block_Groups_SACOG_Region # NOT_USE_ALIAS "FILEID "File Identification" true true false 255 Text 0 0,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.FILEID,0,254,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.FILEID,0,254;SUMLEV "Summary Level" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.SUMLEV,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.SUMLEV,-1,-1;GEOCODE "Geographic Code Identifier" true true false 255 Text 0 0,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GEOCODE,0,254,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GEOCODE,0,254;GEOCODETract "GEOCODE Tract" true true false 255 Text 0 0,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GEOCODETract,0,254,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GEOCODETract,0,254;STATE "State (FIPS)" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.STATE,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.STATE,-1,-1;COUNTY "County (FIPS)" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.COUNTY,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.COUNTY,-1,-1;COUNTYCC "FIPS County Class Code" true true false 255 Text 0 0,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.COUNTYCC,0,254,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.COUNTYCC,0,254;COUNTYNS "County (NS)" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.COUNTYNS,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.COUNTYNS,-1,-1;PLACE "Place (FIPS)" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.PLACE,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.PLACE,-1,-1;PLACECC "FIPS Place Class Code" true true false 255 Text 0 0,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.PLACECC,0,254,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.PLACECC,0,254;PLACENS "Place (NS)" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.PLACENS,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.PLACENS,-1,-1;TRACT "Census Tract" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.TRACT,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.TRACT,-1,-1;BLKGRP "Block Group" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.BLKGRP,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.BLKGRP,-1,-1;CBSA "Metropolitan Statistical Area/Micropolitan Statistical Area" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.CBSA,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.CBSA,-1,-1;MEMI "Metropolitan/Micropolitan Indicator" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.MEMI,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.MEMI,-1,-1;CSA "Combined Statistical Area" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.CSA,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.CSA,-1,-1;UA "Urban Area" true true false 255 Text 0 0,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.UA,0,254,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.UA,0,254;UATYPE "Urban Area Type" true true false 255 Text 0 0,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.UATYPE,0,254,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.UATYPE,0,254;UR "Urban/Rural" true true false 255 Text 0 0,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.UR,0,254,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.UR,0,254;ZCTA "ZIP Code Tabulation Area (5-Digit)" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.ZCTA,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.ZCTA,-1,-1;PUMA "Public Use Microdata Area" true true false 255 Text 0 0,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.PUMA,0,254,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.PUMA,0,254;POP100 "Population Count (100%)" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.POP100,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.POP100,-1,-1;HU100 "Housing Unit Count (100%)" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.HU100,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.HU100,-1,-1;PopulationP1 "Total Population" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.PopulationP1,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.PopulationP1,-1,-1;Population18_P3 "Total population 18 years and over" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.Population18_P3,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.Population18_P3,-1,-1;HispanicOrigin "Total__Hispanic or Latino" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.HispanicOrigin,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.HispanicOrigin,-1,-1;NotHispanic "Total__Not Hispanic or Latino" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.NotHispanic,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.NotHispanic,-1,-1;NH_Wht "Total__Not Hispanic or Latino__Population of one race__White alone" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.NH_Wht,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.NH_Wht,-1,-1;NH_Blk "Total__Not Hispanic or Latino__Population of one race__Black or African American alone" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.NH_Blk,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.NH_Blk,-1,-1;NH_Ind "Total__Not Hispanic or Latino__Population of one race__American Indian and Alaska Native alone" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.NH_Ind,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.NH_Ind,-1,-1;NH_Asn "Total__Not Hispanic or Latino__Population of one race__Asian alone" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.NH_Asn,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.NH_Asn,-1,-1;NH_Hwn "Total__Not Hispanic or Latino__Population of one race__Native Hawaiian and Other Pacific Islander alone" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.NH_Hwn,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.NH_Hwn,-1,-1;NH_Oth "Total__Not Hispanic or Latino__Population of one race__Some Other Race alone" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.NH_Oth,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.NH_Oth,-1,-1;NH_2 "Total__Not Hispanic or Latino__Population of two or more races" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.NH_2,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.NH_2,-1,-1;Housing_Units "Total__Housing Units" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.Housing_Units,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.Housing_Units,-1,-1;HU_Occupied "Total__Housing Units Occupied" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.HU_Occupied,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.HU_Occupied,-1,-1;HU_Vacant "Total__Housing Units Vacant" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.HU_Vacant,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.HU_Vacant,-1,-1;GQ_Institutional_Pop "Total__Institutionalized population" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_Institutional_Pop,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_Institutional_Pop,-1,-1;GQ_Inst_CFAdult "Total__Institutionalized population__Correctional facilities for adults" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_Inst_CFAdult,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_Inst_CFAdult,-1,-1;GQ_Inst_Juvenile "Total__Institutionalized population__Juvenile facilities" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_Inst_Juvenile,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_Inst_Juvenile,-1,-1;GQ_Inst_Nursing "Total__Institutionalized population__Nursing facilities/Skilled-nursing facilities" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_Inst_Nursing,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_Inst_Nursing,-1,-1;GQ_Inst_Oth "Total__Institutionalized population__Other institutional facilities" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_Inst_Oth,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_Inst_Oth,-1,-1;GQ_NonInst_Pop "Total__Noninstitutionalized population" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_NonInst_Pop,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_NonInst_Pop,-1,-1;GQ_NonInst_Student "Total__Noninstitutionalized population__College/University student housing" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_NonInst_Student,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_NonInst_Student,-1,-1;GQ_NonInst_Military "Total__Noninstitutionalized population__Military quarters" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_NonInst_Military,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_NonInst_Military,-1,-1;GQ_NonInst_Oth "Total__Noninstitutionalized population__Other noninstitutional facilities" true true false 8 Double 8 38,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_NonInst_Oth,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.GQ_NonInst_Oth,-1,-1;Countyname "County Name" true true false 50 Text 0 0,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.Countyname,0,49,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.Countyname,0,49;MPO "MPO" true true false 12 Text 0 0,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.MPO,0,11,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,GISOWNER.T2020_Census_Block_Groups_SACOG_Region.MPO,0,11;OBJECTID "OBJECTID" false true false 4 Long 0 9,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,ACSDT5Y2022poptot_ExportTable.OBJECTID,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,ACSDT5Y2022poptot_ExportTable.OBJECTID,-1,-1;GEO_ID "GEO_ID" true true false 8000 Text 0 0,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,ACSDT5Y2022poptot_ExportTable.GEO_ID,0,7999,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,ACSDT5Y2022poptot_ExportTable.GEO_ID,0,7999;NAME "NAME" true true false 8000 Text 0 0,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,ACSDT5Y2022poptot_ExportTable.NAME,0,7999,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,ACSDT5Y2022poptot_ExportTable.NAME,0,7999;Pop_tot "Pop_tot" true true false 4 Long 0 0,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,ACSDT5Y2022poptot_ExportTable.Pop_tot,-1,-1,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,ACSDT5Y2022poptot_ExportTable.Pop_tot,-1,-1;GEOID20 "GEOID20" true true false 255 Text 0 0,First,#,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,ACSDT5Y2022poptot_ExportTable.GEOID20,0,254,GISOWNER.T2020_Census_Block_Groups_SACOG_Region,ACSDT5Y2022poptot_ExportTable.GEOID20,0,254" # CalculateField GISOWNER.T2022_ACS5yr_Block_Groups_SACOG_Region POP100 !Pop_tot! Python # Text NO_ENFORCE_DOMAINS UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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'><FeatureDataset>GISOWNER.Census</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6867356b572f7864336d69656f5061754a345453626d416476314c706444624837666d7244547473776a30733d2a00;ENCRYPTED_PASSWORD=00022e686253476b5a6634347a414b7a615a4376486e643170446b7a59455a6f506a48316d466c46783430644a75633d2a00;SERVER=sql-svr;INSTANCE=sde:sqlserver:sql-svr;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=sql-svr;DATABASE=GISData;USER=gisowner;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>GISOWNER.T2022_ACS5yr_Block_Groups_SACOG_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><DeleteField><field_name>GQ_Institutional_Pop</field_name><field_name>GQ_Inst_CFAdult</field_name><field_name>GQ_Inst_Juvenile</field_name><field_name>GQ_Inst_Nursing</field_name><field_name>GQ_Inst_Oth</field_name><field_name>GQ_NonInst_Pop</field_name><field_name>GQ_NonInst_Student</field_name><field_name>GQ_NonInst_Military</field_name><field_name>GQ_NonInst_Oth</field_name></DeleteField></workflow></operationSequence> UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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'><FeatureDataset>GISOWNER.Census</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6867356b572f7864336d69656f5061754a345453626d416476314c706444624837666d7244547473776a30733d2a00;ENCRYPTED_PASSWORD=00022e686253476b5a6634347a414b7a615a4376486e643170446b7a59455a6f506a48316d466c46783430644a75633d2a00;SERVER=sql-svr;INSTANCE=sde:sqlserver:sql-svr;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=sql-svr;DATABASE=GISData;USER=gisowner;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>GISOWNER.T2022_ACS5yr_Block_Groups_SACOG_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><DeleteField><field_name>OBJECTID</field_name><field_name>GEO_ID</field_name><field_name>NAME</field_name><field_name>Pop_tot</field_name><field_name>GEOID20</field_name></DeleteField></workflow></operationSequence> CalculateField GISOWNER.T2022_ACS5yr_Block_Groups_SACOG_Region PopulationP1 !POP100! Python # Text NO_ENFORCE_DOMAINS UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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'><FeatureDataset>GISOWNER.Census</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6852366a6b374c4a3967595a726943564235484e477541774b6150794232346751775a364362754d6a4965633d2a00;ENCRYPTED_PASSWORD=00022e682b76636e334477434c4254596442346b6f664144536e51564c52507953344533445045496c49724c3865773d2a00;SERVER=sql-svr;INSTANCE=sde:sqlserver:sql-svr;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=sql-svr;DATABASE=GISData;USER=gisowner;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>GISOWNER.T2022_ACS5yr_Block_Groups_SACOG_Region</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>EJArea</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><field_length>10</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField GISOWNER.T2022_ACS5yr_Block_Groups_SACOG_Region EJArea 'True' Python # Text NO_ENFORCE_DOMAINS CalculateField GISOWNER.T2022_ACS5yr_Block_Groups_SACOG_Region EJArea 'False' Python # Text NO_ENFORCE_DOMAINS CalculateField GISOWNER.T2022_ACS5yr_Block_Groups_SACOG_Region EJArea 'True' Python # Text NO_ENFORCE_DOMAINS CalculateField GISOWNER.T2022_ACS5yr_Block_Groups_SACOG_Region EJArea 'False' Python # Text NO_ENFORCE_DOMAINS 20240131 15075800 20240131 15075800 625000 5000 ItemDescription Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.2.0.49743 ACS5yr2022_Block_Groups_SACOG_Region 2020 Census Block Group Demographics for the SACOG Region. For use with the Census MAF/TIGER database, the Census data site, or with other statistical applications. With 2022 ACS5yr demographics. 2020 Census Block Groups for the six counties in the SACOG region. Counties included are El Dorado, Placer, Sacramento, Sutter, Yolo, and Yuba. This feature class contains Decennial Census P.L. 94-171 Redistricting Data. Block groups are an aggregation of blocks; they are the the next level up in the census geography hierarchy. Blocks are the smallest geographic unit available and are the basis for all other census geographic tabulations. <div style='text-align:Left;'><div><div><p><span>2020 Census Block Group Demographics for the SACOG Region. </span></p><p><span>Decennial Census 2020 includes tabulations of housing units, total population and adult population by race and by Hispanic or Latino origin, and total group quarters population. Data are summary statistics for population and housing from a "100% count." The Census Bureau attempts to survey or interview all known addresses. Geographies nationwide can be obtained from Census, with disaggregate geographic detail down to Block-level. Metropolitan Council is publishing files for 2020 Blocks, Block Groups, Tracts, Minor Civil Divisions (MCDs), and school districts.</span></p><p><span>The Decennial Census PL94-171 reports summary statistics on population and housing for use in redistricting. The Census Bureau attempts to survey or interview all known addresses. Still, the data are subject to error. The errors derive from survey data collection (response errors, field follow-up for missing cases) and processing by the Census Bureau (geolocation of population and housing, data coding, compilation processes, and imputation of missing cases). Further information about accuracy is available at https://metrocouncil.org/census2020 under Census 2020 FAQs.</span></p></div></div></div> U.S. Census Bureau Census 2020 Block Group demographic population SACOG dem2020 ACS 5YR <div style='text-align:Left;'><div><div><p><span>SACOG provides data as a public service. These data are provided "as-is." While every effort has been made to ensure the accuracy or correctness of these data, SACOG makes no warranty, expressed or implied, as to its accuracy or correctness and expressly disclaims liability for the accuracy thereof. In no event shall SACOG become liable to users of these data, or any other party, for any loss or damages, consequential or otherwise, including but not limited to time, money, or goodwill, arising from the use, operation or modification of the data. In using these data, users further agree to indemnify, defend, and hold harmless SACOG for any and all liability of any nature arising out of or resulting from the lack of accuracy or correctness of the data, or the use of the data. Users will not distribute these data to other potential users. Instead they will refer those users to SACOG for an independent dataset and documentation. To assist SACOG in the maintenance of the data, users should provide SACOG's GIS staff information concerning errors or discrepancies found in using the data.</span></p></div></div></div> 1 Enterprise Geodatabase Feature Class 0.000 dataset EPSG 5.3(9.0.0) 0 Simple FALSE 0 TRUE FALSE GISOWNER.T2022_ACS5yr_Block_Groups_SACOG_Region Feature Class 0 OBJECTID_1 OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID OBJECTID Integer 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. FILEID File Identification String 255 0 0 SUMLEV Summary Level Double 8 38 8 GEOCODE Geographic Code Identifier String 255 0 0 GEOCODETract GEOCODE Tract String 255 0 0 STATE State (FIPS) Double 8 38 8 COUNTY County (FIPS) Double 8 38 8 COUNTYCC FIPS County Class Code String 255 0 0 COUNTYNS County (NS) Double 8 38 8 PLACE Place (FIPS) Double 8 38 8 PLACECC FIPS Place Class Code String 255 0 0 PLACENS Place (NS) Double 8 38 8 TRACT Census Tract Double 8 38 8 BLKGRP Block Group Double 8 38 8 CBSA Metropolitan Statistical Area/Micropolitan Statistical Area Double 8 38 8 MEMI Metropolitan/Micropolitan Indicator Double 8 38 8 CSA Combined Statistical Area Double 8 38 8 UA Urban Area String 255 0 0 UATYPE Urban Area Type String 255 0 0 UR Urban/Rural String 255 0 0 ZCTA ZIP Code Tabulation Area (5-Digit) Double 8 38 8 PUMA Public Use Microdata Area String 255 0 0 POP100 Population Count (100%) Double 8 38 8 HU100 Housing Unit Count (100%) Double 8 38 8 PopulationP1 Total Population Double 8 38 8 Population18_P3 Total population 18 years and over Double 8 38 8 HispanicOrigin Total__Hispanic or Latino Double 8 38 8 NotHispanic Total__Not Hispanic or Latino Double 8 38 8 NH_Wht Total__Not Hispanic or Latino__Population of one race__White alone Double 8 38 8 NH_Blk Total__Not Hispanic or Latino__Population of one race__Black or African American alone Double 8 38 8 NH_Ind Total__Not Hispanic or Latino__Population of one race__American Indian and Alaska Native alone Double 8 38 8 NH_Hwn Total__Not Hispanic or Latino__Population of one race__Native Hawaiian and Other Pacific Islander alone Double 8 38 8 NH_Oth Total__Not Hispanic or Latino__Population of one race__Some Other Race alone Double 8 38 8 NH_2 Total__Not Hispanic or Latino__Population of two or more races Double 8 38 8 NH_Asn Total__Not Hispanic or Latino__Population of one race__Asian alone Double 8 38 8 Housing_Units Total__Housing Units Double 8 38 8 HU_Occupied Total__Housing Units Occupied Double 8 38 8 HU_Vacant Total__Housing Units Vacant Double 8 38 8 GQ_Institutional_Pop Total__Institutionalized population Double 8 38 8 GQ_Inst_CFAdult Total__Institutionalized population__Correctional facilities for adults Double 8 38 8 GQ_Inst_Juvenile Total__Institutionalized population__Juvenile facilities Double 8 38 8 GQ_Inst_Nursing Total__Institutionalized population__Nursing facilities/Skilled-nursing facilities Double 8 38 8 GQ_Inst_Oth Total__Institutionalized population__Other institutional facilities Double 8 38 8 GQ_NonInst_Pop Total__Noninstitutionalized population Double 8 38 8 GQ_NonInst_Student Total__Noninstitutionalized population__College/University student housing Double 8 38 8 GQ_NonInst_Military Total__Noninstitutionalized population__Military quarters Double 8 38 8 MPO MPO String 12 0 0 Countyname County Name String 50 0 0 GEO_ID GEO_ID String 1073741822 0 0 NAME NAME String 1073741822 0 0 Pop_tot Pop_tot Integer 4 10 0 GEOID20 GEOID20 String 255 0 0 GQ_NonInst_Oth Total__Noninstitutionalized population__Other noninstitutional facilities Double 8 38 8 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 20240131 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzsvVeTJOmVJXbCQ2udWpcWXa3QwCzEYrEzu9jZ5a4Z1QNnn9ZI I//KvnLMaHzmK8nhA0cAyxlgAAwGQAMtqktXVmVlVWoVWit32jlfeIqqLNXVYroqv7borIyM8PBw /7773Xvuuef6HMdxcDJOxhcy7Md+Hh7W0Z+cdR7+4GttdLo9BAIhDPoeWBbQbncRCgXgtR4/rvWU 456MN2H4vu4TOBmv07CeYlQO//3oqDeqiEQi8Pv98MAYKz74e7fbRTgUOHTc5x/vZLze48RgnYwv eLygEfHwfzZi0Zh+HdiOnrOdPgZ9Bz6fHx5arieOfWKk3uRxYrBOxisO1/N5zJA4xxmox99jftqO jcHAhtfyw+f1odFswB/xw+v1ntydk3FknBisk/HFj2eiogazckej2RJ25fX60esN0Gg00Gq1EI1E FRKGAsHhK088q5NxYrBOxiuPVzEkFqKRuP5Vr3ewuHgXW1tbCAb9GB8fhW0fh1udjDd5nHhYJ+OL H0fCv8PjMUDesTDoA4VCGxsba9jaLGBnp4CB3UO93kY4HDq5OyfjyDgxWCfjiwn/nsCo7GcA5pZ5 nwNcv7aOe4vLsJ025uankUpmcX/pNtrtDmKx0D794WScjBODdTJeeQwGgLDxfV5VD47Th8fjiKYw cAbypDweH7odG34f8SqgUu5j6f4a7t/bRj43g0QyBNvpYK9YxMjIBPw+F7s6OPYLgf0n47UeJx7W yXil4SbySD+27YF+93hoRPoihXo9HlTrDQT8UYSCEdgD4P/76e+wubmLdtODd9/5PoLBKHz+AfqD JhqNJmbnxhCPh9BodBCLHDJc++NZRNKT8TqPE4N1Ml5p0FB5POYx6A8wsPvw+Txw4CjLFwyEkYin Uat1UClV0WnbqFW7mJk6g0RsFKFQymQH6w34g8SzSjhzdmafPKpxEhKejOE4MVgn45VGr+cgEDAW xbIs2LbBqrweP8LBEJrNtsLAv/0vv8LebgVeK4JgII7gaAI+bxi1WgvBYBCDgYOI34tAwIdQOIhO 10Yw+CzG/Il39SaOE4N1Ml5tAvk9hqWu8NAHn89MqX4P6HZ7iIRjKBa7WF3Zw4XzV5CIZRGLZtDp 0BMLwLZbyGQs7BUtdLpt5PJpjI3l0Ou1EQgGhYOdhH0nwx0nButkvNKwLFuhHylToRCLl4GdnSJW VzZRKlbR7drypLyeGCbG5hEMxODYFmrVMrzWQAXOAxsolnaxs/sIkZiDZCoyBO8HgPAwfdLjn3xy 597AcWKwTsYrjCF9wWPLs3JsYG+vjMW7y9hY38Ogb8HvjSCdjuH9d7+HXteCM+grTAyFIiKGWj4P lpYeoVovIhT2Ymw8qeN5FWUOuQ/HMehPcK03cpwYrJNxaByHCz2bPtAf9GBZHtUAMgNYKTdQrbSR To1gdvoswqEotjZLyGbTWF3dxvRUDPVaB8lEANVaR/yr1fVFzJ+awDvvvodUhlPSRqfXQcDvO94u nRirN3acGKxv/HgRPtJxJM4DB4aGxvIN0Om04LF8sCwfut0+IhEyzW10e10E/BF02gMEgl60WjbC EQOuW0NeQ6vTRSgYguX1odXuIJTMwvIGUSq3EAzFUG/0kc7kUW/aCEWiqNSMZ/bzn/81/tWPv4v5 hWnA04MHfL+pJwylM/uEU+eIoTogpnpOFBzeqHFisN5Iw3bIk3KATqeHsN+LYCiCwcADr+WBFfSh 3eojFGb5jINyo4pmg7iSH/V6Hf1BB91eE5GoH1NTU4iEIzpWv2cpCxgIRNDvOYDDKeYVefSJ4QHC ET9i8RASCQu9fgDNZhPhSAjhUBj1ehOxWOIp3+dEd/JNHCcG63UcL1rOMkzAhcJ+KXzevXMPD5fX kUymMTs7i6mpEfGm1td2cf3mTWxvldCo05OKSvrFH7Dg8zs4daqJaCSBWrWNzY0Cel0gEfPomJbn MeKn56i3NzE+hUcP+ZkJZHNhwONHp90TGE8Q//CpHv2KJ3HhmzhODNbrNj6H40GV7OUHK7h18x7g BDHoN7C58SlGRnLo9VtwHBvOIIDz5y4hGEggnxtHr2vD4/GgWNpGqVTAnZt3FM5NTc1hanIWHvhR 2KsgFjuOqX4w+NrF+58pHH3n3UsYn0yh222j1+/B7/O/gCzySbbwTRonBusbP15twbqGodUcwLED OHvmMpqNNj759CN4EEA0GtYjHPYincqqHrDZGKBcbKHT6SCVTmMsn8HM5GVhYWStNxt9+LxejI6m 0WjYJhx8zLNyDVE4msDk1AKq1R3cvXsfo2PfQjQal6HsdDsIPkUPy2BXJ+NNGycG6w0flCJmAXO/ 50HAH4fPCgNOD6FAHMl4DplMBoFAAAMMFOqRqmAF/RgbjcPvA6o1G9VqBYOgg1AojEjYg14PqFar 6HT8Ks156nAsdDsDjOQnMeh3USzsoNMxgP5gwLpE1yidFDqfDDNODNabPBwaIODTT25ja7OKTGoc 4XAcXm8QudwYNjZ2EIkyU8dymbCyd7btoFgswkJcHW6CkTAsXxjhaEiGqkXvyudDIBRBMukzHtax w3hdzsCHTruP/oAFiV6RSDvdvjhaoSC9qxN9mZNxME4M1ms/nt1tplLuYOneBpLxMYyPTaNYKMPy QqD79tYufv0Pvxcz3esDarUSRkazyOdHcO7MO0jEg2i0KTHjHbbm6gjXIlZerwOVSne/VOfY4Vjw eVmeY8Py+GHbHmUsWUvo90XQFReLXXNOxskw48RgvebDlRmmQanVGojHk+JY+X0+bKyX8Td/9Qt0 216M5uhZBaSQ0O7UsbK2ivW1bZw5fQEj+Qlkc0l5O6XKJgqFPWwXNuAPzUmtwev1YG+vLt4Wi5f5 WdVqGSOjOfT7fXMi+7SGo9hTr9dHNBaTrjuNV2GviEx2HL3+AP6nGatjRQNPxpswTgzW6zg8RzOA BMeDIT/C4bBAcRorak39/c9/hWx6Aon4KJKJrDhQDNM2N9fh93tx5coVxKOjiITjsCTO55GmFdUV Gq0q1jeWMZKfgs/rRy4fk/ICQ7pG00YqnZA2lmuvnjocSyU9Hnh1rsSujGTNiTU6GU+OE4P1uo3H 1jn5Ulz8lscHj48hl5EIXVy8j1arh7mpaYzmx9Hq2Gg0S4jG/djY2hQZNJfLCXwXubRvNK9C0RgS dhe9wh4azSr2ChuqCxwbG4HH6stgkaWezWTQanWHYn5PH47lwYCn7fHAcQjYuwbLlTF9/A2P/fvE rr1R48RgvQGDOBINAjWnggF2VHZw/dpNXL70DsL+jLygXq+n1zEkZKsttt1aW1vD7ExE/Cr2DeQx AiEfYtEE+v2eDFOlWlL3ZiorjI6OotXqKCyk0Wm32Ugi8sxz4zEZttKwut4g6RFePw0dTRnHSQPV k2HGicH6xo9np/xpiGgI+n3KwPQRCXvh99NImJKcaNiLYqmJeDIAfyCCcrkgw8aSmAdLD5HNjAj3 CgQDwpu6Hb7Xi2CAoWFIBoeG6/7SImZmxlGt9hCLxdDvGQUHjSNlOUeTANR+p3Gz/D4MpFLKDCHg dZg1POFanYyj48RgvebD7Z7McMstdWEUdebMWXz68U384Htn1B4+EomIqLm2uoFIOIFkIoNEooS9 wjYCQR/CUR/Qc9Dt9KUsGvDHEAhaasVVqZRw7dp17O6WsbdXRDgclXELBIJw7GNitkMkUoaZBrg3 oSu1tfg7B4UBfUxZnoyTMRwnBuu1GIe9lqNkSxoBA2Cb1lokia6ubIsMGo1GDd8pFFDd38bmGur1 BubnTiMUjGEkP4bl1ftIpBPwh4JwHIaWAVMczcORxA4PEqkkBraNpeUH8s7iiRQikThseUnuOdmH jNUBEOVxqP8+2DdYBN3d/qnKcLoG67iSIx3rxAt7k8ZrbrDcCf0mTOxDkjGHjES70xQuxdq+ZqML x/bhd7/9GHD8+OD976LXs+EP+ORJra49QtAfw+nTZ+WRkWpAo8EHw0oddWis+L5eq6lON9mRNOKx GPb29pBKpIVdpZMZtDt9eD0WHI8ND4UbLP50zO86mtKDwr/8lg1LnXfsgy48g6fM0CfKfL7KeXR4 vO5z6p/e+OYbrKeqUB5u5vls8uT+cTyfJ/P0spP4OG/omM9/kSJmUQ3McbjO+TY5U4eMli/g0wLv 0HAFQ/jf/7f/Ax+8/y/gcWJwHKouOKhU9/Dp1T/g8uXLyKRH5e1Q+4p40qAD+Dx+RAIx1DttdNpN +GMRREIWmi2GbAG06h3kUjl4fF588N678AZ8KBdq6PQGSJH3NejDYfqQzSksB31nAI9jy3na2d3E yEgGg34P4ZBPBq24V8bUdAqW2zVH3/XwdfsySnWeZQSfMY+Ok8152njZ+/tlD4/7j8+7ARwzf7/k 8c03WC80XkAP3L3YX6qxcl9jP//zX/g8bLXUIq7kLgLTI5C/dmF5LX2iP+BBtdxCksJ6njA8TlRE TeLaJHdms3kJ9/HfHfQE0hN/ymRyqNeaKPqLSCRSoA1pNKqwvCR8su4woPdMz0xie3sbH/7+N7As L0ZGRnDp4hnU67Y+o4cB2u0aKu26SnzabXpnHdUjNps7+r3Xb2NiYgx+v8kyMnz1WU8zGF+ld2M9 /d4dZ3weN0yH7+XT7u9xG9aX/fMbOL75BuupC/tpzQu+iFDgaZ/1ouPpWbMX3+3MjOvbfVge4j8H 14L/NsiPhd6gLd5VvdbC4t1HagXPrF+/E0Kj3ke9UcbKygbyIyPK/BG7soRTOQrPdvf6ahDR63cU CrLTTbtTheNpwxdIwucNodVuIpGMoliiZHJfLea3d1bQ7dWQTqd1JuyIU69XMbA7YsTnRsLw+sJY mJvX87V6ReEmJW2yuZjpdcgY8cgN/jJlZV70eMdISB/XlVoZzkM/nzcef/1X8vNVxyGo5Yno5mnD esMN1jPHMy7OkbXwecKBL8Igvsg4bis8nGUjKdRMQpu6VQ5BdkfMdL6XXpMFH7yWje3tAmLREdgD 4lC89aQQDAR0T01NmjrAYBCdNmkQfeFWp88sqBTn4cOHuHbtGuyBhUwmhdxIXNnBTGYE+dwoLK+N 5eUl1BsVTE6OY6+wg0TqPH73+6sYHx/D5NQ45hbyyOZSyOczqjfU+csbjGJgjxtDy87RdBYdBx7P 4BvSLee4+fMsOOJZx/iqf1pfwKb+1Y3XwGC9YFj2yi7wl7VwnnbcZ3leB+856C5jYzDowXYG4j8R 1lYWzwEa7R7aLQd2349YNoXCXgnhkIN8PoadvSo6vSqqtT0ZqWgkLUDe7wsjnYmjXC5iZmYWszML kiymwfL6PCgUN/Ho0UPcuL6IM2fOIBoLqmj5vW99Fx6PjUeri+gPGvh3//6Pkc9n1TmHBdRuxU1/ 0BVBNRKKymtjaKhvaffR77G9lyGq0th+dZvDS86Z/eTGa5CowQtCEce+9gUw4v3xaomLb7jBOrxb POeLPxcTsr7ArKL94sc7Dv/YP5/Hz8899sEY2D14h6l/y+uBzxMYNh/1quyFONTf//xnuLe4glbD xrtv/wA+y8LmRhPLD9extv4IpfIO/vBRSV5XPjeFaDiFVCqHcGRExq9Rb6lkhuJ9fn9IhNGx0RkJ +l28QDrEqrwvNlWdmJjAwG7j8uXz+Jd//EOkUhEZKlcskAaJTHif14NkIjY8V1NwOFBakM1Z+V0N A/7gOz82Vb8KkPdZWNSR8Q02Ws4xv3texoAfpal82TflG26wXmXYh7I8j+/gLzkBPY+raj7t5wtk l57rCR56n4fANENAYxQpA2PTK7F8ojDUqk389jefoNtxcHrhLaw82sTtW/dULsMi5nQmCt8aFMKt rT+UAWI4SfG9crmOaqWOmdkJeTrhUBD+jNu0gl2d+/B4/EjEwoieCmF6agKBoAd2f4D19TWM5HOI xyIY9M21odpxQJLHXnlX3W5HHl08npBhMkXPpkSHX4z/KZHwdY/nJUG+oeD1M8eLfqcjxs3zkmvI fhMN1st6Q19itum5xuqxVLz7+pdJiz8+HMDvCyjMsm2qd7ZlSFrNGna2S9jZLiPoT2FuekbCfNub VAHt4tSpU+j22rh165YIpDMzUyrhOX/+okT8CntVScuoFKfbl3wMCaGtlkchIcFwr48dnT0C4/v9 jnTYm6wtrO0gm03i3fcuC6T3+6keaqSTaYxohLyWH5HwsKV931ZWMeAfMvJh8DPzOu/zs7pfyXha eP6a1Dh6noXBucN6wTX4FLrQFzS+4QbrRfrxHWRpWIJiAGouC0eCc/Q0Do7zZAhH74KLmeoBPpNj V4Euf2dow9fy7zqCZRaz+xkMcdxaO6/Xp759knqRkiZDJKb1fWJ6i0e1D6APmen7C9qnVlsEogMB 8/za2jaWlx8hmcqonIXSMLu7BQQDIakwFAs1nD/7NkZzI2i3emg3mxgfmxIYfuPmVfUXrFQKuHD+ HYHm7IyztrKLcCCPTHoE4VBKQPvm5qayfqQ3eH2s9esgEgrAH7SFb21tbMpD6/WbqFR30R+0MDt3 AaEwC6nNlWVI6B3mLc01df99qN7Q/Rts+H1fbTmOKCAOExT0Vs1zhnFPL9Kzf9/d4TDBwYJtGtSn su3Nc2yJxtpKzhHOA1YXcJBcy3Kor1dGxz6yLpqtJiLh8LAPpU/zl9+RJVucg7xX/f5gfzNhgkc9 Ix3T9ZtD2d3hQ8ce4qh0nDkvWeZlvPgyUqnUm2iwjhvHkQwxNAbESgygy67EnJhHX3f0Jw0GPQN6 GZyk+4J0MP/mg0xyt2bPfZ8xQmYRRCMx3Th6K2zTTgY5P5+exsDuq9TFOwx/ev2+jJMxkKQXGE4S C5aJR1UrPaytbeDRoxXs7u6i2VrC1taOzm1+7hQmJ0eRTiZxZiGlFlumT2BI58dz3d4hWP4I8UQI yVRK14CSM1T8JAhOmoLkXeCVxMz2zpqepydGNYZUKoxypYqdnR0ZqXQ2hJGxOIKhNBxMoNtrYGIy LyPVZnPVUOAliYfWV5qJoufIe8sP57/pKfLe8J7ywcHvT9vEjYbzhU07eL8q1QoSccbJTzc6KgQf bjqJhOmxyN85BzgfgkH/18fD8ljo9/hPLyx6uOoh6YfF1O3QNFBjn+VY9OTVONcz0NzgtSK2mUjQ 6B7jWGkD5prjejPPEbowob6pouBGy58vM15Tg+UOs/vRq+EO6vcHjYyJzaadNDwGAH76e2koTBgz GBwYJxdbYZhDY8AbwxvPXZQTOxDw6+ZwYnMn9YZodIyHlE6lZbyuXb+FGzeu47/77/8bdAacBEAo 5IffywdQq/ZRqFXx13/9N2i3uprw7CZDsTzudLncCL713nlsbm9hZqon3IkLYfHOI0xMzODdt+ex uroHvy+ESCSgUJC7vXZHr1eF0JOTkzoWSZskgZL4yevBS8PJlM1F0OunUCzt4M7dWyrdyefz0sGq 1YtIJAN4793LyI8kEQyZCdrtReAPcMIPhj+PCy0OPXc4JH6qkuizuEyvFpLxVh6osnokcshBw8T7 y/sXj8d173h/A4GwWayNBpLxLD7+6NYzz4HXvFwu65rTuyLnjPeAx+Q9O3jvV26tYK45PSRH86DZ qg83XjYUoUZ/R1pnJsJwjToNtllHXFfdfs9EFh4jD8S8iXs99R4PvdE+4glGMn2MjY/gwoWzCEXC h5Iqb7TBOpo5dK24Lt6w6QJsC36yvIc7wPHj6EKid0YRPHYzViQA7hYWGnUTzpkuMR3EYhEEQ8YL 487daLSQTofkIVXLHfR6TWxtbaFYrCCZGMVf/F8/0aKgHAsnCWVdaJxq1Tqq1TreeecDA1oPvS3u yny9CJxND+LRHJJxC8nECEqlCgq7TWys7SKd3EQwENUCZEiztbUnryiZTGJ2bgrBoFfMdVEIYCOV SqLdaZhg2XFUg9jvh9HvdzE9PSVVho2NDTx8uCyyKTs+z59awOR08qA+2ZFAjDYDeaUy7I+X0TyW 2f2aWdduwTW/s1uAzUEyrtfnhS/qR73WQTRK5YkArn92X004OK+2tnbhcULHLKOD7xgMhqUt1m0P UK9WdA9IPaH3yvnEv3+dOJjFrLI8fC8w8KBSqcMf8MLvDcNCEN02NHdopFPJjLLEXcejjkZebwx+ rwkRjQCjYzLTCq8tU3MqfLMlWKJWL+sz5+fnEPc/o5vSm2WwOA5wBbmcDj2WLm5cv4Mb1+9iZ7uA btfgEAOne3TFPAaeG70mZz9E4G7TbDU0oenx0I1m1s3NcjF06nRNzz7286Mx4w7L9wb8IczNzaHb 7Sl+j0XTmJtdkPvM4/I99JLkQWVPIRKOSTiPrbI4AczfuDub8K7VaiAcTuDmrevyjrjzsQNzpVLB nTt38OMf/wj1ehetdktqonzv2OgEstmsjN6gb87ZT0jNotfZQqtVQzAYVahC0H1qegLwDFROc+r0 vDwsYl+bWyuo1Soy+uR/0TjzWrGPIL+/8Lj9Nl2HwenHw/VDRuuly6JefaHTIBsczXjiXJi8T3zK DWt6HR9++svfYmlpGYl4UpsF50Q+s4CJyQXAeRxzG84njy3vOJ1JCmOkp5FMbmFxcRGOHcPpcxck 1/O1yaY6xjNyDY7PW0C7vYZYNIZcdlTXhY9alUYIOHv2gqgo5TJpLj1VLDRbtWFFwqFjEsfVMQeI RCnL3RJUsLL6QFGOq0LLNfOy8kGvmcE6XPDMYaFWbaFeb2Frs6AGoGdOXcH776Th90UNHuU9HLa4 wbZ7A2ztpoVCQcaNMsCskVMxcdsA7dRGT6cy8PpMLz1iINRE57/ZeYaTk59z7twF3eRisazs3Gg+ hYnxeZE0eZN5fO7aDENcQ0uMizeU3l271UGj0ZRBTKVialTK7su///ATxOIRXHnrW4jHo5iaSmFz s4Kf/fxv8f/+5V9hZmZ6mCTwYHxiVGU5BD/JZqehddDSZzN0iURi8qwYBrB1PMFYstwZ2tGj0uSt F4VrUfDv7XfOa61xIXpBPI5ANHdW8qz8T8miWU83Wl/DcFUoOOgJBYdJjUq5j5VH61hf30a10kA8 lsZ7b39fQDOvIZM1pVJVDTwODNaBoRr+AwF/FJ0W1Hh2YmIUYyNBLN5dltfGFmd+L0Olrw949xBL NexjBAIR2AOfzjkcig03yT6aDXpJfdRrbal5sDDecRhxBBAJJ+VZ8x66UkYG6+0qe/zJx5+Jnzew WygUtxAMTe9DKi5G+AYbrCdHPB7G9lYZmxsFwA5iJJ9VBowLtlnvIxSJwGjMHe9l0WsYDNoK+Wyn jv4ggliMmR4DwPr8QfRtP1qUbnEI2jrYLdS1o4ajKea8UK030Le96PUd9Po+BEMpZPNTGNgEMk0G 0CgrBBCKeAXW0wNq1hpK+fPGEvDNDdu+1xpt7OzsypiShU5aAu/95tYu1tbKGB1L4d/9V/9GhnNp 6Z5KXSbGp5HNZjSZ2OXZ5w0LAO11faoFJJVhempOYSSNJrNEzUZdtX+F7W1xp4JBM13oWM7MZZDL R00+08Pv4UWr2ZTRM5fSVRs95qZoh3UNl/t4lXrMzz9ohE3ixYSE9IhLxSYeLq+rLyONzeT4AuKx LHw+th9jcqKHQrWFcDgFJsrsJ+bNIcPFZIdj69Gz+RggkcpgfHwcjuU1HtarUFteZXiYULLQcwzO 1He66PRbcLwDdAZtdFtmTnv85mrX21UEWiF4/I5AeNrpZsW8Rmmaocx1q8WMcUl4ne3w+D0US0UU ikWcOj2ja/h5G4289gar1QQa9a4WaDyRQziUkLGyB16k0knQUXpyuhx4ANl0FOnUiAzWxsY6bt28 r0lOb4tZswANVo8eFzNCUaWq6QWtr6/j0aNVbG3u6PXMFjU9baW22TjUawVNmlegvtmhuZu5vf1o oGhsORqNriZBv0899q5CzF6vq67Mo6Pj8vL4GdNTeewV6lhf21H/QBo6hn88Hy4QYmTVSks7aTjk kZJCu9MWQZSe6KVLlxCPxVGp1hTmFcubGNh1eLxdXYdYPCpQfmQ0g1wuCYeqDr0DmoLqFi0jdaPz rhvs58XGcUbry6pxOziue+7KovagioDbtxY1P8bH5pGcyWmj4e+tno1qpwmPFUA4FDdmyTp8tMPk YfN7o95EJhtHMplGpdLA/fv35K2MjIwZbpqlePwVvsvnGQfhOcuomKnm/VY5FHXJLCYYOurozYiA VAbCE8wg8/5yXvH1pVIRsXBM2Wslc3zGu2p3aLQaor388F98X5jnzVt1FIrGq+J0J9zAigbqpb1R BqvXJb7kkUoAXVtyZAhmDgSUA7/93ceolLoCpaPRLFot3nwvQkEL7bb++cwJobZYfq8aL0xMAPmR rG4WC3+v3/gU77z1FvK5PHaaddRKDUzNphAOWgj4HLHAtx0HpcIu+l2GFUF0WjVEw0F4Kann98Nm ztcxNzzgDYivJNG8no1235AtHRIpYSPgs9DrDFDc2xGudfnCKVTKzFQao1As9pRyjkaTaNTbiEZS 2OztIplIqs18tVpTuEejUy7VBf5Xa0UZx7evvC+DZugXbXi8bfTtivCyS5cvYmTEqC64IqDaecHJ e4BB0FhzuLwl1hc+e7y6gWJWyig7HHl2/54a2gjZ9QZY57V1m7cST+n2OH+8qFb7uHvnAba3ikgm J5FK5tXM1XGCJuxlwob0koAf8DL8UaNq9HqkoDhPhJgCoDFQ2M0Nk0Zqb68gNYxTC+fEySuXG4iE jYF3+UoqXCcI7jUZTJFu+31tUJZl6R7x+pIrJS8+HN7PQB/OunEecHCeGelpk80jrspzJkzAY9GT 54ZGrt3mVgWwu2g3q1h5eF9k43x2CoOYB7ncKCKRoObQwDdAPBGEx6F3XhFdo91r4dHKqtQ5yvUy Fh/cxPnz59Ho1NCzu+rA1O4y6bCl70UdNschrOJCB2+IwZJzIqIa7zYLfAHLZ3rdrawVsLdbQTY9 hVx89ykmAAAgAElEQVR2XCxtEh8Z2hgtccMpOZbt+1jjT3eyBGEahQZDXgRDPmxtb8grGslNqa0V b6jL6CaGtXR/Rb8TyxobG1MYNzU5p8nFCUC6gWO7/fiMsqdLPTChviMsKRwOatfb2tqQgRkdzaNa 7aitPAeVGngNfD6/ymA6nb4A32KxhGg0hvHxmDKYbKa6trYiYJ6Y2ukzc/Is+N26XRJdHWFhFOGr 1G19T3i4+xqQlBgOFbaMO/9FEDyfM1mfk0E8TFLUy7V46SnwjQzRDahO4q6SJz7XiLIywNYuf/2z Zdy//1C8tVx2Qobe4wQw6PnR7jKhYHh2DLtpVKTVxUMMhpnRx87RxXJcz5mDGCG9dBoHQ5EwVAJ6 Ggb4PqgBooKG9MhgCtl9Pi9CYUM45T2rs922aDABhf0muxwTbYLG1/DJaORYu+lofvFzw+GA5lS/ b4w0jWI0Si3/Frpd99oN1HGb2eTp6XkMekwA5bThNRs9ZDJxbQ6PVpawtr6Cixcv4uata2h2mtjY WJPX5UYUwRANZEhVEVxfpIL4A5zjdCZYJdFH4CVxrG+8wTISJIatS+CXN54XhBf4D7+/ilAwKQkU qg/Umi3dfN4opd599Mc8z6wP5CI1UiyuIQlpkmsieQO4v3gHu9tlGUXiASTTccIH/GF1nPmTP/kT 3Lt3Fzdv3sbKyho2N/bwz3/wx3BsMs2rmmQOtac0+YfkOq1AIxXDDJ0BNU035UJhF9PTs5iYyGFz s4BohDfeZDyN8Ta7b6Va1uQ5c+b0kFFNpnEb5XIJ1VoZwVAAE5NjylZWK03DJSNpddBFVFlI8raq WFg4vb+L8zMOWOquBMyXDBg/5/DuxxtDcrDpMEzhwgqH6CUZZiPDavHqPDQCxkP66A/3sLG+i27b o00gEc9i0GPG1FHpkQlzzZw5+Bxnfz5wHrgejp6XysSB0dLGQ2zM6cuIptIx43l6umBja3mIruEd ZttIM7DEj6K4YUOhVggk/3oUZhGXZAs2UmYY8tNT5D3iXOK95r9poPjZ6URSGxxLpJrNDmq12n4z XBpRCjuSh8fPEMfKH4bXCqDb7wrWoEoHN8BWuwOvn0bUj9u3bqponlnjn//slwiFgjh/6bwM6MZG UM9zo/jFL3+uDCkhDCaueD5MWBjuG5MzvKhvVEhoLLe7K4mlO1TepCu9dH8Z/+pP/oPCJ94oJgWZ /WKYQHeau0CHrIZhg4YnvCyBkmZFaDIOJ5ERFaDx8osmsLy8jO2dDelEcUcL+CNS4lxdXdfk+eCD D3D27FlxcFqN66ZWzkN6QlQuuTk+XT5z84zaJvldA8Tipv17s1kXkMlzzuUyCARM6MUJp13UcUO1 PtoN9gssolTeRTjix85uWSll7touwz8SSenciKnx2EzXJ5NBNFv87A7qzaqoDaOjI/rMA6/BnOMR cuA/geF6OS7B0W3MSktAD5hhcyQcNeTWDrC4tIpPPr6ORsPB1OQ8zpwiGBxWKE3mPxctjXM4bFqi cT6Ze2I8WS5wxwXqB4Z7xPmy7+HxellM7NR1/4jp8LqSCkADwGYf4ip5QiIlu7r5MnI+UwXBn5ls EouLdzXHBoMBksm4wivijZwHPC9mwamnzwerH1yiNI91/sxZGVXinTTW2mj9FsIRGtKgzo2ekLDV LvHNgFGZrddx+/ZtnWOjUdf7+O9CcQNb2+uaE2fPXMDYyLSO5/EBVz/b1rriNeFGyM/jMegFMvQZ G8tjJD+qtcamJ7wWLzu+4QZr6MaSADpcSLypTK2zXM/lG3k9Q2zF75LZDibH8THHAeXaxWi4I5hn hpPT8QqEnJ9f0G6yufUI2Vxck543n+qdD5dXxfDlTWQ4GI10cOrUae02UvZUmGnwFLrxsgFMF+v5 oAwQjQmNJktq6DFNTU3r+fWNXYWB5E65nkXfHmhhGCrGtkIQ7p40TMTLGC6SLEouFXdZhsckgzJt T9WHZCKNWr2ERquITq+I2fkJMbINRjMkVFpfoXf1gsN4oMZIHQ5V+c92q68wkOfN6oEHDx5hY53E 3TIePdzAe+99HyP5Kfi9MbSaPfS6FDGMCvcSPuU9MFb8HJYcyYvHQBuf4/gP4VYuLcYQuAwvz5K4 ITz06LmpMPw3KX96RryXZu5aT2Bw/MxGoyYjQs2xdDqp+2E4eC0JMpqsrIVMOidip/nexujxuDev fab5Vygk5UESk93YWDFNcQMBLD24x3JzfTd+FomsNDYL86d13cjxa7frmsfF4h6azS5m5xYwPjaD 3Z3SMKztoFg1/Sw5x37zm98MQ+jgQQMTx8Ae/Hw6DiRgf57xDTdYZJubUgKlWYeYBUtc6PJ/54/e FzN5ZvqMMn2Dvhftdk9kTN4Ml07gHutJ8J34kT0M14yMiyaleBAsimXWbiCg8f6D2wAuiT/FRMDs 7Cnd6O3dNeFODA/Zp487040bNzA7M49sNo2d3S3DW+kZo8XzIHExEg3JmNHFpxdFg8P3Ur2Tk41u Ntnpj1aWNYGZluaEoIHj3xrNun7nzspJTmCUHhbPu9Xs6EFMgVgWd3uGGKVoSSQ/GiwbNfzwR+/v hynmMwz+oCszxNq+3vE4n+vAWMlL7RPnYXUCsL5Wwc0bt/Hhhx8jlUzj1KkzmPn+BeTzM6J5FPZq w43CVAbwvS5NxS2AJvNdX1lUF7MA+UH7+NPQgLvhKY0AFzRJt8STuHmymJybIOcpF7TPyzIXQ0o2 GVbDx6OXxPcohAuFNMcCgcD+57L3Izciygjx8w8XkbvhOz10Mur5b+JLH3/8sY6VSif0naq1Et56 67KML+caky3b27v6TBocbrK7e5uo1iooV7cFEZCDlc+N6P2cE/k8a0gd3H94D6VSSZlzYrcs++Jn M6wkOZqJp73ChvpW8vpEIm8o051t1G23gJUgusUJRrlgC+cvzODevSWRHblzhIMJdFWJyRvM5gnH 6XEfxbC0UIchoMsINkXNgp5RrVSGoVVD3k7QF0UoFJXOE8tU2ID0zp1bmnzZTA7j4zlNJMbvyw/v y1BwIrLmjyEIJ6Rb26VsULcLjzWQ18T28JxM/GyGObzpwZBfn21Y2ty9ujpHLkpDjaCH5EWtxvII ElOZLSrpK/L1FNwbG/WpCzR/V0/BjgelShu5HIvD3TDHLFwjZWNCQhMuf1nKCi8uLUwkkouGc4HD YJgkLw6wu9PAzk4Byw9WFYbQe7p48Yo8EuqEcaPgPXbrK4lDygNg2O41dXb0irh5dUTs7egzVb4i FN7QMYyRMEC3auy6XWWT+ZMbA70cqh+USqwrdEtZqOB6QAdxy1vcIntDVp7QRkWvJxRi922GpV3N Idtu6Tvz+/K7atoO75FqAj0eGZ1w2BL+ubL6EDOzU7h8+ZJeS4kht/ifn8FzLZVqgi6o6sFKBqrF EjRvibbDjt5Q6GkP7mJ2dg7LD5cRj8e0UdJ5SKezmBif0rxj/8tcbgwjeUvdkzodVkBwbpsMvnDX l9z0vvkGi2Bx1xgsl7/ECVVv1BCPJXH27AIW765ic3NVnlYgSA/IYAxGdM890mOkPx3caDXpb5LI cPGbg89m2jqeoEfHid6lPJ16/6mGMejRjWQqmZ4SM4hU5+Rk4A4U8ZPbFNFkpAdGrI2Lipk8TnBJ FkcN52VmZsYsmk5XE8cNDWLxsEI/Lgpj6CwZQHpUfNAwl4oVAe6h8ZD4NJwoZuIbPIa7N+sWaQyz uQTa3QBK1VVQNYeUEXcBqKTikIdljBj+CYwDKoG8YtssYGYB//Iv/wYT4zNIxNPI58J4cH8dxUJV WUDSPwxuQ34RFz6vi7m5vI7GgBiDTS+JVBYuYk4JerepVFrKBvS+ufBpqHjfiP/wfvB33gNuQuRd 0dsVfSUQ0INzhKGdCZXMhsG/cw6TfiLaCz0lUhu6A/R7bT3HztyuUTP0Enp+ByG6ub/8m41eu4NC wWBc3JzoUTFcpOfDTCA3W1ZtFAsV4V9bm6bhCAuVC0WqgPSFv7qlYVQe2djYwsrKCuyHXczPn0K9 zlAyqDnKWlheQyakmHza3WFiKQivFZYx8/oFGisxxDA5YIXeLFoD07HBoAtWO+JjqRo+Ftdz4xNj +P2Hn6G4tw6/jzVSE3LDadi7A7rCBESN9hG9Fd5zTmK3ftCt0qcx4WIIBDwolRrIZGJotXvqr8c0 cDgSkuEYYQ1WwKsJksnGNPFZT0W8iNm5RJJAf0NeUS43jfv3W/D786a1FQYYHc3JOPDm83NpBGmw ZIyp5uALaqLTuHBB/OqX/4hEIi5i6MjoiCag2TU96Pc8GPQ4yRIIBmK6HoYGwYp7IBQ2YQAXjcvv Gdhd7O3tqHsNwWEX59vfCQnuk9Yx3Bi++PE0CWiTsTXJDhdX7Cv7xpNiKRANFTNnsWhEcjkPH97H +Ni08MSJiSkZMGa99nZL6iJUr99VqtBUElDVIiIcjxsIPXJy5ELRiMI44o407gqlVMS8rWtCbpXJ OrKmNKwsGN/PcIhhG6+ruW6HFyUrDFS4g0jkKR4qEzwKAIy00eEsZa/XPyTX4t4Xkx03z5vsJK9V PBrG7353S+HoVH5C3lM8ETVS1oOeMMxyqSpm//j4JGam51Cu7mJldVk6/xcuXJDR9VoR3Ft8gPBE Vtc0FPbi+vXP1ICX55DMZDUnSKFhBrxc6iqhkElF0O50JKEUiyaxsn5L6yYasT6Xd/6NN1iP0zhI ++fo247KHq59dl1s8GjYYAhcoIEoNZ8cRGM+VIdsbJ+fIKuhR5CxzptPgxAOH3wAf7dZj6CQ84Aj RcY6byqNyPioQ14hFk6NotcfyNMjfkB2O7GlRIL6SOzpF1GHGeIcBDOZIOAEZAjGycbz5AKlN2V2 4A6ajRZKpU2Fh9zBuZO+/94HWnBMabvSKD30TCjjoXRMW4tP+AilPwYEPG2FlBKUY29Bjcd3uWfI O3+Fw1UddcMHl1Zhwl+m4Q2tgJk9egCRMDO0UGjzcHkN6VRO4Pmtm4tYX9vSay5cuKQFS8zF66di QlBGafHufZTjJYyMfhvJFEu6Cvj02qdmrkSjSlbQs3WzgbxPrtIDaRQcRujOUApEYB5uHo/z+o4M UnOOLc85kIB5clhPvzf7ct0eVXUQr2MShllmbpy2kxN2SS+L4DfBeqrNsidkt9dUhQP5e7t727h/ 74GK4ePRPGLRlLw7Mvd5LzjfVBCeSMlg0VMl/sosLLlfjsfMOQoEGJxteF2GKh42SIh+OWrDN95g uS2hbKKkpCGw8In9+Lp9NOo93L61hPff+64kWDhh6dkYhm9TF5CFUjQ+BFcbzZrxpoIEQYP7BD+5 3ZahUPA9DMP4ucz+cMG02m3sbO+iXl/Gz3/2j7ppVFbc2V3H1HQeuXwG0zMjiMYCIm1SWWFmZg6n Ty9I6oVKoWQaU0GC3h1BWXeB8rXk3tBIMdzg4KI5e/Y8JibG9buRMiZWYgqZXQE6grkeD71DZiKB 9oDuuNF84kMp/q4hhR7Vtj9cAH5oHHnqyzZkB7I0JvR0+WluSM7QKmg2DoasPhbvMl0O3L+3gqX7 j9BsMSwiJlMUzjk7v6DNi5SB/sDB6NgE1jceacOgp8H7T1zn6tVPdY25eTD5wU2Devd8zqhuGm00 gd+h6JHzZHiorG+fHa7pHbob3oGHuj/2r/tTpCqeZeRe0GhxPjPkJyxRKESxu7el4nueK73J2ZnT Kui3LFuNbXf2drU5spSIxv6tt942kkYtsvW7WF5exGfXy/LCGSKzvM3lgNHwsyia19qoNgzpJg6N t/H6jMFyeYZSinyp8Y03WG7XDoZTRyYDPSF5S0mjMeUJorBnCGz0iohBJBJRtDpG9pcbOTkuqoVq t/WTYSCxH45gkAW+jqgRvNDMeAhY7XY1qTlRf/SjP8ZvfvM7/OhHP1IdIGWIf/PbXwhLYGeaQNCP ufkpZLIG13iwvKhj3bt/B9PTk+bGWgG5zi4QfPfubZ0b8bj5hVlNMjebRPUGeX1DENzUIrb3QV6e H7M23P05mVje0e8zdAgc4Sw9IY9yrMb30679l5spFE1l2JjC/G68GZ/P/N5qUlTRhz/84Sp++Ytf ifg4OTGjqga2Jauig/ff/0D4CdubmaazFlZX1/DgwQPYjtmg5uYW8MMf/kje5927d7G5uaXr89bb 7ypUpJfKc2m3TTjmOCz0tdFqmdpPbg5GA8pwqIgq8zwNafV54/MYqxcY4g2aDDTPj2ExYQDCFZ12 G6Onyern2iBRtqnWbfT60xkqiUzrmjFKoXYas8d2t4Wt7RWtp7NnLgqTo7oH+VRxdRT3o9sx1AWG uwTXXbx3n1yra8Jn3A3oDQPdzRcnyOcTBcEdxJrotRB3IOluemoBk5MTWFp6oBq6dps8lh30hvwn TkoS8viTC8RVmyQ4ajJiBAr5XA/9QRuPHj1QRrK0V9BuRCpDKkU1hC7W1pe0oyWS5H852NhcwYe/ f6Rj8zXkznAHprFh1oayG8sP74oHxBsdi6U0Ubiw3nn3irKDvMlUMiVgqlB00BcQ6yqJ0gMjhsZJ wc9hiEoi6/b2lnY/hn7JkMGxGEoZPSxH2I2ZNP8k0PNDw53IroT1UBucu7NlOveQmlEoVnDjxi1U yg38+F//B4Ulv/rlb9Qx6Ic//GN5RjTsm+t7uq/lWhn379+X8Tl39oK8X3dUyoYKMjk5hXNnLyIe D2JrtyqvmoaSCREaAZNNZDg4lH9miDgMCd0pKPqLc8x1dX99Gg3pifDvcQHEZ3Rt0jjK53LpJzQs 7fYA2Uwe3/rWB8pOMyzMZSdRrpRRrW9jY/ORMnkijtba8MCA6fVGFfeXbqJc2UO3X8Ps3EVkkqzs IE3HYHSUbqQRH/TNvHUhT0MDIWetN8Rk3ay7qmnxsuMbb7DcchbzCwtUjRvOlHQoDLzz7lu4v7iq osux0SmlecVTqrdVCzU6PqkbSo4JGbkETfkaanW7HojJ4Bg8wgFZxH20O3VkMmlU1RzUwcWLl0TG nJmdxL37N8VQ7i2bxgPErcbGswLNi4WiJgVljOkxGeXPiEodtrf2EItmMDpCkb1RGZpur6WQhMfm zXa5U8zoFFj+7ljK9mSzeczPzwroFTm252pzbUpwjy4/j8fF5jazCCXI43n6ZP+n4GUZyRJm4VjU bsIMwkLbW7tYXd3AxgbD6STGRjPYWN9Dq9lV4fLcTE7eA3WnvN4AGo2qPCrea4bT+fyoEhoMd8j2 dtVGTd0hMcQ+NjbKCEuW2nigTFQYL8FCb2Brs6DHQmPlEiRdw2XmDr1D95s8do08hys1Pu+wn/N+ eljD8wHljVhbCBnxWrUhbf9iaRO1ekXJFsIoXisk5j4bkHC+j45l1ViElRJMNszOLmB+bgHhYBr1 Wu+oFphwPcbnZmH2B4Qm+OEMzQ2uaqoyhtUIR5rkvikGi/dMVpw3Z1iYNdyVHVhYODWlnXhzoyyS ZiadRzYzKleeqeZInCJ2A3kne7tFGRgaBJbXMDZ3SXz0bphFI79rYNM7assAEaikOmMskjeCbUEL 9UYJHsvIwHDiJ5JRbO8wCzMqThV5Q8QAdnc3kUzFhB3UaiWFkPML0zKs1KYijuZqNW1urWN1ddUU kPqNzAxLJq5ceVveFENFdSSh2oPTh69LVja9voSyk2TK833kzHBR0nCJzOpPfs4r/9WA8aabkGGD 0yOklE6hUMLa6oZamWWzY2pn1m6VFbbxvqWSccP6dtipKCCPisb+4oXLxjBZjo7FSoVE1odaras5 osLkIdYnTzUcVw0dn6cHb0QJzfnYCrPDRmKba9Tt3qZzNQ9Tvzk0KseVfh0nZP80A/TcLtT2seA8 7zUNK0nO7ryRlIyEAxxcv/WhvKizp9/C2MisvMlut4kbxY9RruzCsUqi3jDsZtY5GR9BtdJGy0cu nw+eHqW7qWDBMihDczFq5DTg5MdxRx8I1jDZTr9pnkv7pujoRWfC8PvgGz72eWfytA5XvTOT5+DP //zPMT11GgG/aeDg908YQmjPwejIJNp9Atm2ODr0qhgukmPC7AdDq7ffflulC0w++uCXfhS5VXwd /z45NoHx8WkUduu6KZsb2zJ0hnjI8gijhOBKLPf7dfS6tSET2RaplWEi8QIa03NnL8lzWlq+hYfL K9qNCH5S6oNg/sjcuGgMBOOr1dvI5Uw6mROWoSHDRLcsgguS58+i65WVhzJkNL40YFyQxLlOLZwf TgOjfKrtUd1TDk/+A/7Vkee+cKP15PFMppZig6Sh0LMqCX9iwTZxyRvX7imEnpyYRSQSFV7DBh2R iB/b22XUawXdC3qh/Du9ZdaTMqG6vd0QZ84oZzIBY1jkNJJUd+B1JJ9oX9FD4bTBYkwhPH8fTr7H 1Evd77Iv2HDEEL1QO+kv5Br6fCQZm7lmWs/R046JKCzZ61OzMiIs+ep3fQqfmfwhxMHw2u/ntYkj kxmg3fJganJBdZb8/sR8q2Wy+S1NHV6bAVuGWYdJ1m6Dj6FggDzY4ZnabseiN8hg7Q81lDjIdPEy UJbp8qULqNe6mJ4aR63SRafVkpqmh40dOOGaXviCLOsxVfJkFhOoNgTAKv7u736Kt65cQjpJAL4p gP3RXkniSBOj05gYW0CjZiOdTikDwxbvo2N58VSYEUzE2UarjXKJmlg25mfnBHryxlUqtSHRboCV R6sChK/d+AMWF+/I0DFsrJSbuLu4g//4P/xP6PeIETiSfPH5GFp2VJpDPIp6XQTr8/lxdWmuVJoC /iks2G4NEI2kMTU9hkq1gInJ0WGpxh+EXYyNTmN64qKY1J0uvQ8W5bo9+o5x2Yctosw4Tqv9mE44 x9wvdzArZeRymakyyQZ+T8m6qOSKBb4OFu8uSYHjj77zfTxY+kwyvufOXkEykdVxuMBocLhxUXrn ww8/lHdEHX3qmBkQmql+ZvEsFUMfIGSGy8QL77Zc66o9l0myMFmh03brFYcF9uYaDVUWjqy9Y7KC x3UKf1G10ad6XtYzX9sh9SMUMFy7cAB+K4hmpw3L70M6m5dxZpMRkkfJnmdoSFIz5z/B9M2tVSwv bWqTvnjhbaSSWRk01rrW623dHyV9hg6D1y1PGtbekstGeocjwYH2sFGJGS9rrF4Pg/Wc7/y9731P 7dnv319EMJBANJKRZnU8HsHeXgOhKAmTxC9MUSt3W+4YxI24g1CC5aOPPsKjBw9w7tw5AClxec6c voSZqVMY9E2HG2mmj48p3r+/dBvb21Tr7Ivrw2p81mB5QMxkVzQFpsi5SBlOEtDd6uyo6w1JqLyR ZBuvri4jnRozuBPlODx+eFjU6vGq/IGSx4v37pi6s+4A5RKVQj0YHRkfltoYtjX5YTSorvKoyYrN od2p4fqNjzSJouERSau4/RDlVGkSvvw1P4JrHVdf/tj7XSIoS1e0Mw971xl6hlEC/fSTa+pGHQmn 8I+//r28KnqHxPb4XWncXKoBPU1ilsSmmH3NZBLD9mU0QGa3N+UskMrA0fN+ge/0QtfgGcM1Ml+G NLLnqCdnlCOMt+hmlznfeJ9ZDhaPRWTASfCk/IxbeD05MS0PaH5+Wsz2jz75rbhrLPHKZbOoVtkA hZnTZ+OZrmKGi6W5fQsCAbbbM/ftzTJYzxkUHCNbl64/PRSW6HgnA0gm8kaPCCwyNavT4EWGuOnK k5A0d/HCFdTKFTWyYNcdgtvvfe/b2Noq6ObxtfUadyRKtBhlTi6O8fEJBPweZVlqNcqMsBMNW4El VGRLedxTCxeUeWRXn71dtuLaU6Yxm8uo5yEB5EjQr8Jt9SSkOB85Zs2OqBlvXX5HdAW68mQxE8TP 5gLqvMys1sNHD7WQc/kZcckY6tDD42TjxHFdd3eikltGNUjbIv7QP7QQfM9s9nHw/OHXDP/2hKd2 oOMuQUDpjRlSK7ES/Vt8MmB1bQtbm3u4fv26QvbJyXn89Nrf4sc//lMJKFYqRYXnBOVpqEhFoYEn DkmPcmLSsP+lRctOzuzoQvUEarhywShT9aSs0LFj3/B+nuTEK44XNW7OYZlmU7DvGn9eX1NgT2+U pUlxXLt6Q+HylbdSRigwFBD26fUNUCuX0epAUkUs1VEtYZf8Ph7B7dd5CPh3sTqNQ8LRonpwLXFT MfiZjnCQkXjh8dobLPJmMtkwvvu9K9jcaGFz40N0unW0O2GEIwGlY4mcMkR0RfTpwprOzI4yJ8zA JWNJgfTt9lVsbm5jfn5e2BHdY3piFForl2u6aYz5GU4y/ufzZEwzq0VqAd1uYl/NBpnsbe1u9Bou X3pPC4rg/ObmGkZHxjA1OaNWYP2ef1gdT+Y7NZp86PUNjsBSHSkCtNry5rij5vLpfc+q0SyrVVdu hEz8OiqV8n5zz/W1DSQSaRlQfhfzGewr2IXlZzdoXsGDDkJHG0e447iF9CSWc5wShnBG2y0jMSxx l4CpBh9eH37329+rcw0rBUZHppR0oHdKYUFmuSiOaGoruVkkkEymTMPToE+hvWksYZosmA3JiDFq YxJF5AWNlfs3GY6vl/3/wsZNtbDGm6RhccUu1Y1JeG5QFBtisPSqmTlmW3qKPF69+pn4iTTwJFsz IUTxyPHRU9jaqsjgNRqmtlH0CXnSbgcqyfk+geu59ZM6NRGTXz7D/NobLF5wVy87kQjj7Lk5rK/t qt6LpTM2TFpaBb66kQe+vsJENhWtt+UlLSyMIRh8H7/78B/xcOWeuDrFvRryeWba2CWZBFTqDLFb riPddOIGkWgCY2NT4mYxHBwfGxfgyZqrQoEZya60jmYWFhQOEvQn7YKF1wTjI+G0mqaWilX0euR3 GWoCFyZ/mmJZAqTMyHAhOghLFDygMov5UxMoFhmKlrG8/Gi/2JmYgsfqo52kDhQleozGk2oXtZif tzgfA+aPGDTnBUAsA87uH8HihmEyg66UMTeLTJoUBGB3p4yP/nBNofEnn3yCe/fuqeWZoXNQi+fb mi8AACAASURBVCwoXhlT9ol4ar87sbm/ByRF470ZrtCTHW/w7PM+/Lqvq9vNkXHcObhksKHgpKgE xATNRkzDzSw5i+Lp4TLLTLY/PfZILIi4PySiNFUdOE+r1eKQXhMBSyPNT1N3S1lwo/91vJfn6u1L 7tlPeaf2viLF53CwXn+DRTeUo1xtIBaN4vyFOWFS1Owx8rkBtDrMDLkyt7yhJqRT1Xu7hYlJ6lg7 kiSmVzY7N41ms2qUFyN5kRi5c9BYKcPmeJFMZARuc/KQkNrvdnSzGPIRZyJJlG5yJp2VOgMnEEM3 GiGGM9zVeA6Vcgvnz72FSCiNXD6p0JMpY6koWA763cE+G9wUJEOKAjQ89CrY3Ye6W8p+OXxtb58c G42eE7bHIlVpwbPWSyGxuWbUAdgvrn3COB36eSTZdVx4eNwwBs5o65tn1LS0R8/KYIoU3KO09Pvv fVtSMOXSinAXysPQCJ0/dxGF4rY8BelNtXrC8Si2yOwpfzdOoulM5GGoa5uHwea4ml5hcr0MaP6V DuugCYcUIAwL320OQjUFeqr0yE+fnsP4eAbNBsvPWPXRwtKDh9Js45C0s8fByuoSRvLjqJZXtPmW yuT2UbOdpUnWsFXeoc8fkmZNu3oWsRoPy63gMB7Wy4v4vcYGy9wwtyYvGjPdfHn9pqZHsfzoDqYm TiGdNsXInb7pKsLONLzWA7nSFnoWlTkp1h9V5okTgNmTYmlbtVTZ3IywIpLyAtTCbrUEgLNQlIA6 X8s6N3XaqZbw8OEKTi2cFe7isulpQEg05WsZNtLI8HkB932TXmYTDYaITfaKY7eagMGe1FppmEpm qMSdjBkhCvjxua2tHQA3huRYIyFTu2kYzPTezp+7IpyMsiHG4zDpZ1s6Y+ze/PiKfmyBPu5I7eNV L5A9HB6auIYRoDOicH4fWeTArVt3lAmkaiibiRBPvHRpBnOzp4x2fiyMQnFXonDjY1MIRAggG9E8 rgeG28QKXVlreczDDjhHz/eQ4TmE/7wOwzPM9oqfN+wb4JZqkV9FuaOtnVVcufw+Bl0W83fl4Y+M sIVdWLpfXDv0sKhIwky75e0hlvDKANVrDdMI+AmDZUyLsGACL4MWwlFDwlZya1hP+LLjNTZYZhhS aF0V5cwmcRH+mz/9Af7zf/5fJWqWy20r88EaKHb3pTIpe86xaSaVArjQi8Uacrm46cbsc0TsZCkM y0HIWudlJI7CNdeqN4Sb0QNbch4ZL6jflsfDG0SFSBJXuQgp03vz5k0j9WGzw82ORNbo6VGehKnl THpE2MHyg4dYX19VkS5xAzMRmWkxXBeep9QHfKa4md9N2knU4arUVOCaTPh0XGI/zDBSSoTfmS0O uMDbvD6OUYnwsmec92mUoceygEcv+GPPu7v9MVQHGhKHWSsaLMMBMyqw9K56uHXzLr79wXcla7y0 9EhEV3LVuPiIuzDVPpIfUwiYz1I3qqsuxUm2nWoT1HW7xBgMx+VOSfbf1fV67gQ6RD/4PHSEr3n4 hrwnVwPNVZlgj0mSnsulAW7fvonvfPu7qp5QAfTOFr79wfdERiZ8wHpLivixxpIe7GfXPsbpM7Nm gxyE5MEySaOxX0RvvCxhaFQPGXTgeAy9gvdC9CxibG8acfR5g0aHOzHBZGI8HgKL7QH+5//lPym8 +od//LVkQ6hR/bvffoxIzIsoux43mxgdyaHZ9Ehbi+EJRR2ZHie3JBmfQKvB0pAtnDp1StXs1PeO JROYmpmT6P7W1hocuuRenwxHsVSQ5MYv/+HXKBZKunmXL18R1UD6Q9WiaBT8nRMslcyJ+Mki3l// +jfCwM6cOaVMD8NMsugNn4sNL4v6jGw2N1SZNORVM2EtlV+Q9U7j8fd///e4cuWKjsdBg0EOGzur 8PxY6NrpNc2kMs2LDxkgt/h3mFVVow6STa39dLnLrzGLxBQXG66VCVkpBcNsptvjkBUINJ70AGn4 aUz+4i/+HxFfGb6w0Ja9JclJY4s0htAUYTTCe6ZTNjOfbEsVCQdRrxmMKhJhPz5z1tRM47HYsIHl S2yhSKNmWOtG58ptAstz1txxpVDcjqmP//wCwHdXXcN9HOnAMzwHozrr7GtrEZfjUEPTodIox+Hj uOE2H7xNKiEadmg23Zn7wq5iUb7ewd/85C+1qbGMi54+1Wy5+ZFkTBiEG53Rxa+j3mji6mcfqQHv 6MicPDGPvOLB0JNlyGcSWFR2JZcryabAVlufSQVUHqvN0iaJCrz4eI0N1sGEkpVng8rhoiOpE2AX Yy/+6//2X+s5Ei+pcc14IRT2KD2+u1dEJJxUujfsZS0hO46YHZokzVSyi3K9aFpyC9g3MiixWByJ aERdcfjgrsV6KoaQTKfMzs7LyJTLVXzn2/9MZFTW/THbyGOvrVINMo3JyWk14eTijMcSmjRMRXOn dDsBsTyI75XCaDwl7IwYFHlb0UhceNb4OA2VByuP1lSIzVowGksuTBZbE+shbYLGOJuPKFRgmyfS LcJDDJBzvd1myykY4q2HtWksDnfbXBkaiKtXZXhO9lAlgsbKa7JNgZCIr/Q0I9GAEgEz0zNauFTZ 5OK6cX1RCRBmBoOBKHa2KZIXwLvvXJCRNh1tLNSqNYXqzMSyuJceF5uAMHwRFmmbc5careVX2RQ7 xdDotjtUKOghnmQzVa/CeEM6Nc0ZTNhC4+XOpaf9fDWjdbiRh2ukDj/Hc2dbMFcG2ZGqrNlBhE8N a4JUw0idNnsYgrm/S47rwCgeOb6HUEdcZGnH9iv8IzdPnZPsFtKZvHBN8gF3djd1j7g50zvb2HyI Tz/5TBsqazYpdGg6CLkVJ8a00GM+e24B8WgQjVYBVz/7rTxeKqSymezLjtfAYL1ANfuhWHoosyaj FQyxX19fhEU+Hw5ZuHN7EfVqHWfPvoNu1yu5DZbEuI04WdDJyUx6Am8wjQUfTA+T0MlJpdIEPxCK Uieb6g4MtXparMzMsRqeC4ue3u7uHqLNiIzX1NSEJkNhrypciWl8dbfpsF04O+h04bUowWyhL72v Lu4vLcrQSXI5HNNux8lCUJ9yKnTpr11bUmkO1SM4Qdl27Je/+rmkdgL+IBKJjBjM9EB7Ng1RHZGY NeTNmCYL3OEVinq7+16WGPUN7sgR+Cx+7rBQmZ6TxS7JPnR6XQT8XqO57mMXGgq30SHrU79V2Voj gme8tKuf3VAHZp8vhLXVVZUVsW8gs6ZvXU4q/CNdhN+RIYnXTzWBkmR6uZMbSopX0ifpTFTeKRca PQVXpodDzUrCAdQblOdxdf6NN8rFzuYi9FDdRMaXNdzMqNt70p2rbklPo0mCpmkRb9tDgypenqln dbttmwjV4K/EXt3fjbd7oCV2dFEA3XYf8VgG4fmUcNFsLqYmqZRDIs+N17JY2lUWkZUZcDZUSkaC NNUauLEwO8s1ogyk+G6m44+LlYXCKfgsGx5vTNgsvdxAgPLeoZdGCl8Dg/Ws4Yq/GcUsk07lxDCZ E15gU8FuwxuwhSWxVq3Tbcvb6g8sIw+rrJnbVNW4s17yn/xx3FuuyaiRfEdvo1E3jQ0a9YF2/Vhk qLLIMlAfuSstzS6K7lHj/fLlrHZMuvn0ergIySkayU/IixNGRSPpIfHVNFagkel1DbC5vrYpF55e AY/ZblUV8gSCASQ8CXkwPG/yxtjHjpNPLjt88rSYMCBfKZ8bV1KgUt3Rw+e3cffOI1w8PyuvR6U6 bPHuDFBXwwG/ulEnqN1l2yr3sAfE1IbGslAQ9nbmLEXzsqg3ypKK5gRlQoDeX3/QleLk2toW8rkx 3Lu3KGVQOH6B6vNzZ7C9tSM5Yxos1k9OTc2odKZcZu1mQHpk9FaZfY2EawqFubm02lUUiiGMjOa0 aMJD+oTjMXI8lO+hJjs74fiHc4GDeVE6iTQkqpH7fN2oXni4WdLD3pULlJNTR/Vbt63XwDbJCWuo O88Nk4KPbn8CNWChbIsLtA9FDw+3st9XleCDG7jNmlJzTWynBV/AyHIzKURYhN68Kf73Sbk0m57Q XN/Z3ZAyBuszlaQZHtcVVxQQrw7WBBBtlGoFNejlawlFeL1D/boTDOt4w+V217X3m11q+ipNbsTv gMnJEXWKZkhy7epn0t1OJLMCCU2VuzFY3IX1nkEXrXZNZE8SFpPe/LCJgNGClyIm0Wy+xzFdqd0m A/R8iDUtLS1JdZQ8LPJVmi0jvkeO0f17y8Naw86Rz6cGUb1KQDUoz0iFrM2OvAoatFq1IqNEPGj5 4T0ZXZ4Tj1kscaesCPincSSplAW+RueeuA8Z0AyHN7F0bw03ri4J+6I8zthEGvmRBGIRGnCD8zme gTw7X8hCudTD8oM1KbuqKQb6CIcSOnYmm2K722Fb9C6Cwb4pLHaA2ZlppdXpWU2Mz4pn9Q+/+hDf /aMfkWSB27fuYnNjRxriNMy8drE4lSx6Q7Ksx1zP0Ql9Vx6f6hTrDx5hfWNZf2OGi/eEGIy6vtis gsjh9NkL+94Bw03TW8+nkJvGjJvE43PpKIn2ixkmnHbrNw9adfG7EOPj97Rtkw1W1x4/Nwyy+o2H ZbwogyEeDv0OG6gDo3LwXHnPJGdolPp2Hb4Aycvb6jnIGtxG3TQcnpqe1FxjNyhlD31hhevcePiZ 3LRMMbNf94iG3zSgJS/Q4FlsxUfvmGvP9Pt847KEz2ddC9g91FHEMH/dicE0K9tiEV9pIR6LIp0O Kkxpte9hJDeJGBdAh/wo06HElLIMJ5TTRyBsFi6lXngD6WUEAwSCDRbCRUsMS9SJOt1oho19hXoE 12/c/EyYWbNVE9eFg1nLZCKn9D2Z9qZTb1BhDSeWAaN9csW/970f4M7dG7h27ZqA+NOnT0vOhqnp Tz79PS5fvmy6AhfIVvbh29/+trw2lVkMO1ATKxr42JiCuBs7C4+IYU/D2o/wOwMb60U8ePAQk9MZ XL58QaA1s4vcJe/eWcP9e6solxoIBajNNY7xUWZagXtLN1QZ8K0P3paR4bvSqbyKnJlNtRyTxfrs 6i0pMLx1aVrTMpNZwvr6JnIjo7p3Z8+dlp7V4r1bMkALCwsy4BRhZEccGn9ltLTIO8LhKOdz7dpV 3Ll7Wwvf1bpi0TO9UBrV9fUVaWNlMlmFiDRQnB+kWhgBx+BjGcEvXuv+MBvc8JYYUhkZZmaNmYnm a0IhA1BTMYSGn4/a6uoheeYDdvnBvw2o/jTIJOw3jVM5d+Dpolhe1/waG51UV6FvvTdvhCfTCV0H 6ou1mhXNQyYBDLhujJNpkmoUToWxMePrYSVIVFLS3LB5TTc26Cmze/kbKC9z7HgstW40lVzm7cEO xGGJGW48C/e1DGHYNebUwgIoec60rVqHE8we7lAGZ7BRb5dwZ/HOfuGtcYWJN7GS3UE8EYbd9sH2 GNea4mkEuxnmcfFQB2tzu6lymvHJlHZ7pfHvrYnw+cEH3xEOwe4k4lBVGaq24fPHNIHL5YoaVXLB Li8/wN/85K/keUxPT+P8hVN4+OieJhLDXRZFx2MprK1t6NZnMwnU61SA9MDrZ5mST0RUD71AfwqJ WAq9jikYJtWj2S5he3Mbd2//BMViVRpioXAYo6MT4rSNncnD7pMcOMCg64XPsrAw9xYeLN/G//1/ /rUwpWQqgnPnz+DMmTlsrG1j8fZDVf1vrG9q4u/tVhUSk8JAztqt2/eUvTp1it9xFFvbG7oOVz/7 A6KRpAilqSSxuxhqVZYjVbR702D54gElOOxlc+9pjIkjMpnBBAUpInvlHW0GDHkYsjMUNOVOxos2 ukXPME6vSG84HHK64SBlkdzWXwzVSD9g12af3/TJNO3ITP9DejvmOEeziwchpkvSPMCxjvxkxjuZ FM2G86pS2xF+eu7sZXUn58ZaqVZQKbU13+jFc4OpPyhgfWMVb7XbmhuxqMH6hr1lDUHXx0QNKzZM RpPnYcrZuqqrddfkF2Cwvnyt7i91HFIIcOsD6U7rT4dcbn5PdXMWj4kSy5RB7gl8JKGOXXDPnLmk xSDta75GnWeGrrnfEkGUC17eigXVaBk55SYTg7h566rIePFIZEg6jSpE4uIIWkH84Ac/wG9++0tx rDgRx8cp9cH2YyG8++77Sh2nM0llCY1+e1UeW0/MdWJX1DBi9s6jdubMOLK+jiApsS1+7/n5GS1S YkukNzDbyDByd7eqEIoGzUw0AyqwKDsYiCvlzMbPxN1CYXqfaTgbjkDwTGoc//z7P1bdBZnlzsDH VIawMw8dL3GsBrAQxIXzV/Do0bKu480b9/Gzv/s1/uzP/gw/+cl/wcLsaTXbvHhhdChdTb2xtiR8 6flEqR9+9tywU7Jf5FlibT/72U1cvJDGhQvnFdZ7dW+6+j4y5BV6hEsqLaGn8NZbb8mLoOfJhcrP oedZrJRRLJTRbF43WddgCNNT7Fw8LS+UIbmZMF/gevAcLZ05aFI7NI40WHZPD3r+9HCi0YiasNKb p7eTSCRNSG57j6E0HBilw96bm809/DwL3RkG63Oi7FuZlB4+JXtYWjbotxUesxyH94DiicQuufl9 77s/wCeffKT7NDI+ofnmUiqkLOJhYouJG1PTS0NM0UPeK76KHX2OTxQeF4ab4XsS+HpemPX0g32+ 8aJW9mmtjp7y90Pf6aBPG4ehObshoaOuOWzNZViSNBrZXAj/6X/8j7j22V2sPNpGMmHDH4yAuS6l b6yAOeseZbE8GMvPSPqY6XYC2Kl0DI4njJ/+9Cea9PRu+PlUVCC3yheMqPyk2WrB8oQxMX5KGcHz 58+rbfrdu4u4eP59AePhUEpeC8sEwyFmV+q4deuaMnBkp29tFhW2uLsWOWc8B1cLimlotxUV/8Ye dJR3picXDHlQqxeG/fMg9Ynx8RFlcRge1WqUgwb8QS/8QR+2dwrIZifRbt8WH4zeZ0gtxFhCwL3P cKtUbGv31Pma0rjtLjNDbYyPzSERz8P3ng/NuheXL35HQHou70c4EgesXSzev6sQJT+aU7H2hfOX 5fFwY+FmwWzq7dtLOHP6ggwZbLOzl0pFVGtF6X2trq7IA6FhXpg/Iw+Ng5jg2tqqcDwacmZ2sxl6 L5Oin9AAECviT5JruYgvnb+g60kg2pW7ZmhJg8dMZnfQk9FwjY6LcbqKo24TBrc1mDtMxxhqwRuS JTv+ENAjJYMeNRU7KNnNJqbcQChHHAzE1ZC02x5g0O/B749gMNxk3Kn9PEKsuyz2gwwPUKk14Gfx O9VAvWEUSpu4ev2a+WwlIIZkPHa483nEueJnpzIWfvDPx/CLX/xCm/L8/BxSmbgMXSyeQbncUTPh brulTaXbaWJu9ixWV3Y0Z06dzoONtEkVMnOGWVDTvd39BiqpOrS+nxESPs3LOlxy8UXsOo+DmMf9 fN77P+/nuKxns8OoXVEsKKmXjz66pjZhRgrGcEyYgWHKmDuhw+yLBwj6o9JfN2FgU/pUmUJaLb7Z xoteATlVavbgkJwZFuen3aeEMWV3vSgVeIMp7xuDHSDFwo+dnV2Mjo6hb/vM67t1MfbpunNH9LIt er8rbIchK0MHGlsV/HZ9wqGY1WGWkN4f38sHmeGmM5BR8uTE4N+bzZbC1ZWVjnZMfqbwm2HpDL0w en2kaRAD43clB0q992ziFazHNEkBLmim3kmYZVi8sVnB+NiEWpv93d/+TGTb9977Fs6cviiDt7qy po7DXKjMfDEDBSekv9Pb4b2hxjgpDcWC8Tj/6J+9J0FFgujpdAb1BtvAF5BMxfGnf/qnMh70mJgM 4Vi6v4w7d+4oVHzv3W/JW+R3GTjspEy8jby1JHLZsaFCQUvVApViadjV2/SVrFSiEmgkJsOwh0J2 +wkddZzm9TScrsO1rGp0ekx3cYodNJsGHyWvlvORxr7ZYhkVveEZ1XnSY8GwK5Y8MTVaPdzv8PMN ll4RCDcAvelRODvjkWfKkJnJIBb1q0lqJC5vTy3jWkwCmciC16Mu+SRucjVtzIQU6IlJj4tZcr8p 5Rk4TZQrTdy9vYKN9R18//uXUK93EY0SkOc8NtFCOBTabypjOmIZ79H4Zscu7uepJj7rby+rAvss Yt4Ljs/1ORws7jSql1zAVOdcXdnErZv3JRAXi+bFMSLn5KBIlzPH7JDk69CL4mJrsGnq5poaP3BB M6RkkTVvNm80yY+82aYjDkF5vxYEcRX+nTeb4eLpM3N4sHwXdxdvYTQ/o8JoduHlMWk089kp5Ecy wh5czyMWZVaOuEcX1Spd+rQmOzNhwr5qNWnWk3nMzM3uTkEqnO0Ou1hn0NxrSg/96qe38G//7b8X p4wKDoavRA6a8dKWHtxFpbqLYimM0THSJEgnSCEaiQ77HLI5AwFhGi9mBZvyThbv3RWtgXghF8HD h+xetIFz584MjUsDD5bvYWd3xcjHzJvGniyy5SJi2MukwXvvvzPsGThQJpDea6Wyq0wtjTW/H+sP ueBoODY3N+RtNZpVFa3PzswLn+x0HHRadfi5iNSUlcXipg7RP+zirKxiuSb+ET0qel+mzIsM8RSa zRra3aZoFKpf3KdGGBKuMXTHzb+DQVWPSIQ0jCYGA2KpYWFDlCMiodOA1UdlDawj8sOfQ/Lg0OAx AoeuATdWNZktF1SiQ3oKjSe/Xz43qhI3hZXsHhSMwO63MTYyjf+fuPd6kuy8rj13+syqzPLeV1e1 N/CGcBRFUKIkirqS4t5xERMzLzPPMzH/zsQ8TMzVy+hypHvJS0qUSIIAARAe7X1Vl/cmK72b+K19 TlWh0Q2ABEllRAfQpjJPnvN9+9t77bXXurJ+TdliLJa29jZI1j63KUWUJq5WaG25Jjz3B/UTJk1+ 8uO37PzFWUunB5Vhke2DpQDN+JC0X2eYncZ/61LvczNjD73+0LOjv9Xnofvuuk+UQGQRly9ftUK+ rlp+ZHja6lUWBPhWyOL1qXY3GmVDeveJoMMiJ6PiYZPxELgYlaEDxUNyt2aY4mllEt4GhgDZaaWS W0x1dKQt3Raz6q2Srawuyq6KhYG9OLgBUsdkPu4gD/hK2YUDcsLS6ZyMQPkcx6IS6qCBQQDOVsbZ PRGbnTllfb0DKr3ApwYH+2ygb1935MrlG7a7i3VZp/CHlpoSdeFGdHn4nCeeeErZx/vvfaRuZiy6 qSxUulTZTt1LeG7MkEXjCRsYHFfGubGx5hSLNDQKVz1945e/sHPnXJ6ZEal4oq7sh0Dmr5aA9uXl Jd1LcBL0wPgzhsSxo+deRyIJGx0bPnTgJtByPVevzqkUJitjCoCM+SBPh5IN4XrtrjgbCdQwUWp1 0wS+K/w1sEP+vqdnRxtYdl8ICmGn1p04ZPXTFQtJqMdUc46W6KGsdPii01yzSrWp9cDPsGaWl1aV zdI4IbMCIw0nKXgdSfJ8fZJYSJUJZWd4IS1DU4KP4RBWxlmsaNaQAMtUCEPl4qlFoMM4v/D99z+0 iYkJ6caB8zaaKIhAmeAgJYtkaD8WdKDTVm8woWAqKU+dmrUXX3xGfEmCPHvEZZoD2kYQueIha/nR r4cGXL9E6va3DyRfVhL+NqXiV3tRMzdaTd2g3d2CiIuT46ft1MnzlkpmrVljEfrYiXotKFYKdvCH ywPgJc3sdFLBR3SA3kCMn5IJcf5AAkZjFS2fV2MB9vfnbHMzbXPzt+zc+dN6LjdvXLeNzSUFFTIp ShY2IjbhnvmYlcoEq7Kl20KuTfD+TR9bobXMIuGzSftZZFOTafvggw9EyMQBmRMx299u+V2zZLzD qJ5w7bk3f9na21PWP9Al/KeL8qnRkinGzRv37cUXXraRoRknBVpTlucEDhoJbDIyI7IhRnfW1pbt rV/dsoWFeTUFaAZQWqFz1daespdeelHX/+knVy2e8O9C+Tc+NmP9fShIRG1padHOnjtt01Mzaqsv La3aj3/yQ9cFs7oCHdInZIvLKzhn0/gAI3TlCq6JIAjREeY79zOX9e5aqeqZI/c9lMr2ZUvAj1kq 7u+VzeLBl1WGRZeVww08C4ltD1K+6YXnYXJC17hOyZh5aL19dnOwZlD0TEUTwudu3bqlZz09zf0l MwklcfwnHBs7Ps7zdde/KyhoLSe8C06A5jsDZXhnNa5qQe7YhYJKQ4dRqmrKgDE++eSTkioiQ8LP sVCoWb0GbBF+EF3IpsWaSUumvCsL/tue5dAfVrDDP/T1179t/QPIIbU82woCSPiVubufuYHBbXnM t3vUH35VgbfHvZq/xX+/ClD/1QKa/NqqNYul4COB1dR1o7q6hmx3m9m0bACqBkJkQWnkHUZnETOT WK97h4TFxWcTuE5Mz4pLRGeFzhfYUDYLi9s97cjImGMVJWH+uk4wsgUswHigmHxq2Lke1enP3zVq ZCcQBnEtadNANmMSlGIExZBaEQbLVtSVO2NJFmCnFiPlGE7HdA0zKdjwRcu0cRIm9HkbW4uaKcO3 8Vdvv2GnT5+18bFpbfqR0ZJKSWbPOH35HgSTp55+QtkBGw4qxfjEqJ04MWFLyw8kWgguQWn5xJPn tRm4J0g68/7QMpCOmZmZtlJ5T2RadfC2wKC61c4nOGAlD3jP9yDjfOWVb9gnn36szh/ChBAbAdJ5 pm6DVpBfJKc5pTb+j6Ag3KJSKVC8jFPWUw42D11deIWmn8lYXHhNOEhOcORFeUjwPXnmpGdjlJIK lJ5xMf9ZjwEiH621o5nLcPGxoes2OtZjV6/ekoU8JSvYo4wdkDQ+7OwdHdSswcNhaft6r7CBwHsR PENRPtZJg+5vq2G5XDKwoac55YRVMj/+DYchvx8bb7f19WUdEJubu9ZoVpRtN+pNrS3ukWevFZXr 4I/F8pZVq9u2svpA3XBoMj/+8T/bM888JT5hLOn36vg9xEz6McqRx1+PChDHmb6/CZ/it82MHrZJ +m2Jew9/PrwbgETa8xg4jMr0gHQ0FPVzNdIj5VedqMEkPJmM80x8YNb5M3R6OFrYaF1uzxXEWwAA IABJREFU3FrYDgwehoR9MbeHOgIYSXdPTiMY9+/f1cnNRl9d96yMh4idFZ0ngeRp984jUNUKuChQ rviyZVNxKoc66XweBERnSPuGYyGAs5F15DoYTC7a0KizwMHA2JCjo4O2s7tnm5sbNjl2QVnZ1cs/ EyhKsCiVd/X+0XjDeiXlUrJ8fl8A9FNPX9IQMq48b771S9vcXFWp1tnVbtvbW/bgwbyyNoJ8dzdK rAO6FkThoD7cvXdd97dSnldZDv2CTmdvb9dhu5z7zX1hE/03/+Gv7ZNPbmkMiBKXRoATRGmnN0VH AYsrFjBM5f7zbAtB+Z2zCCYXdX9uyi4gZGLqEWTAqG6E8tEE2slJ1DQGg8Nl3/7rj3+o7w1dhczD zUu6hR1m27OBpEu4ao9Y5v77upWL+xaL52xu7q7uIZhnd3ebPZjfEpQg8xINE/taPc61+l1gL2Hm T5Bv1I88IEPDCp7t/n5C0xHSKku4GCBbEMgghY1YpWjLKwS4qt24cUUHDD0mrbFsrzVaSas3kRDf tv29gvA6hAB299ZllAKswftDBqbp8au3fm0ffXjZ/tv/7m8CRZKYsm9lwQ7aRb8awP7Yzf9VBfIf 8x6PAuk/B9o/Tvj/6302gYpg5H6lCXXX9nbyVqlGbGRoWiWINn+AbYbEOHm2RpCbSek0JPsJDUrB nOAwNVuYXeS04DFBJQPhJfJdPCL9bDIFNptkPDIp6+3ttfHxSVtcuq9uIaxjAqeCUatkzQZZIAup KEAbHg38mVDb3X31PNti07GBOEH593R7JibH7K1fvSFrJ7XrG1WLJXz4mvdw3fisNOdxoPYJgC5R CNKZhILqL37xC9EqTp/C05CON7QETuCGGP9gVUjp0OUieySjI9Dxvvfu37G79/ASzIp3BaB+7Trq lnF1D7mXZBgRS9kTl54WXsRwOfeP7/HpJzesr69fGSiZ8J3ba/IkBKC+cuVju3zlU2FjkxNTuvZ6 NSLrNTsmz8vh4AoGDEXvH2bKAP8EItyLQunp3a1tDYvD4SKjrNV8w/Kcyfq+//3vi1m/t7evjJFf ZIdkYDxnld7BHKtPR3j57pkWQbFuP/mn/yoA+vTpM7rm9XXcwJkjDQahmV2NHSNk0h1U6//rA8Vk ot4Q8uF6lwMiAGe0vt0p3IUmQ2xPstMt/zsCcrjB/viPX7bbt5bkYn5v7rItrdyzZDynjnG9kRft hGpB2ZoxH1nQepbkTBrfQ1R4kzY+dkJZ83/8f35g3//+XwRrzPdgnBkuFhn4BKkgwK5cYA4OvKa1 ulJF19NxtrYWgvAL2vQ+OOrmnQCEfhNcszl27AvZF9zgL45WkOboPLG5nOhYE+irma9URtfKPBtZ USjbyuKj+/HYzw7awVwzN5DhWd7r+rVbNjkxow3BKVFBhqSK0qhnLc4LIeVC9ylmjWrTyqWmujkK aHWXmKlUuD/MrhVtoL9bnwdpk4XMgzp5clZUgkqlIFCYIEwm9sSlZ6xaweew39bXNi0ZW/VTJuGt dvArtK96ejvEbOdnpEzQ3aOF51P8FXGQWGAstHBhos7JoPaJmSlN5NNZ43uGoKsUV5Np29p2q/by HIGubMVS2TIZjErb5AnIaUhjYW5u0RYWVpS1keWBU2FTBqcJHGtqakxdRK77O9/5jqzOaQoQPMn6 AGR5z5GRcclWnz9/3kZHn/CSL9tj167dEk+LzI4TFvzutddek8IFiq/cy45sv+4xZN/Tp88rQyTo fPzxx1Yq1ayvZ1hAMXigstQ2soVddSgJsvw/meutW7d1ny5eeMKGBwZ1L0ZHh+zjy1dtaXXJNnc2 lRkioyISMiVOsyHD42grYp3ZnI0MDmlNcDCtrqzb2vKStaXANZENaokxrhnLVlOmIWBXByVoGZ02 c+Kk9fUNSlCRQ4psh4MpBNiP22lFBWT9bkaDQtli1qeXxOwZL5M9J2xo7RBAOODYW6yv4eFu8aza Uim5OEEYvnNnQQGabi/PiTlbOs+QeK9eX7RiaUfrt1CMWHdPh9Z0LOncQDcT7rc7t+cDKlCfpIx+ +tOf2WuvvWzpdFbhIH739rKkaIlubW0ddvvGRwEniXaqSUMIeyiCFa1/UmbhNglXCACEZMOEHAy+ aCg0ViyUDjWfg1v9mNv2eBDdcaG6Tm1SSR6+D3lGAhE7lDp9xo4Fxd+XSy5lfOR59rCs79HvQyYx 2Qc/m98vafat3lizxYVVm56aFXeKB0kwhpOkipCuTZNN9HlGcfj+POwwaKqDKKzLLexXV1f0Z0gy 84DCQAxI6zbyQxaLpm1lZcNt09sJLBHr7OqwXEfa+vo7rFrLiwMDhQE331CPiHvC89PcXFubWPTg UWwU5gwZnuZe8nwJMmR13Es2Ahyag0JNihAMPSeTfQKZAVzJiiYmMHxok4Rub0+/vffee7LgYm2g 3Q1lgJKJ78MzoLvIQUDWsbGx7qx89KkiLa0NeFGUQYzk9PX26+BAxx3jCb4DuBml4uzJaXG50J93 Rn/K7ty5Z73dRZVfuVyP7ndPtxNBecHbIvNh/In7zvO9P3dT1wUeFs8jpVOxm7eua3CaDYm6g9NO UNCoK/DTGWRtkz3xX6lUoD/WkbPiQV6lKJteQnuRiN4nfJ7gUqi78l35LP6M789cZa5jxO7cv6Pn jewP3Vwv412R8/OSMM1HruHfy0vKqg193xByIHNlPbHH9/Z8IL9Zq+vaI9GGZKrVLW24uunCwpKq jWLJPQq0H1LJYC9EbG1t02amTwsPpROKXBL3AJ8DfDfhRF67ftnefPNt6+7JqkETv3t3xRIJAOIT NtA/IEatp4UZpeJ0emp1NML3Rcyr1XY1fInHX7WKe+6g7e1WrLs7YxcvXFT9TsbDAwQAJSAc3dwv y7A+/+J90DoyI4M60GJBX4qHzJwYE+DollNenDp5VkGLAEbW5NmOqHaffxiHV9Q81HviwfT3jjhJ cN/5N5Qr4Fp9AyPCqbzThwRJOKjogQmzBg9a4X95+dgPAC/XQQlRLnfoPhL4BwZ7Je/BQnY54wAw rjQlLdOR7bXJMXczhlpACSgl0UbZkim0uUo2M3NOfn1cm7C1QPnTs19nwLssbUPziuBjlHMSHWxV rWkAoAXb3Pau5NT0mLqRkFEpW7gWfi0tLQtg53vwfoy6EIwZrqacdc36bXV6CJAEIUZIuF4CDJsa TIwXh0u12lImRSCE5Y/lGEJ9tPknxidVmgPwEiQJdmx4AivzgnwuPws4f2XpipoCBDYy4MIBmQEB mxIZccOK3Z+/ozXNNZH5sPFmZi/p2krlA4HnlMoA3qIo1OAmubFFT0/nobms+GWVijJ5zVFSElWg hQwGpqJegYRzfqyDgYH+Q2MRqhSyKagZ4b/l+4FzooLAnlOHUcPDrmXlS+kPZSsW/dyf8Nz43jx3 7mmYGVOqd3XlrJhnCDpi29ueWc/dXxIGjNMTrHyC2cBgjxVK+EdCNQFnzLhJ8fCE1StR6+qIC+sC euAeEEP4N2BiDOZTTUFrefrppy2+sbFjzz7zghbp/Ny6ZCP4EOZ8zJKWRoArBaDIBuq3gT6XB6GW DoE5xhi2twq23V2weJQMhzo7ZulkwlqBceMXB63Hk7oy2Mg3UtbXA/hDmRmR3AZDunCk2lId1pam 21XWgGYiVrZYtM1ikYxV6yUt+s+/9xFbH0APkBxuEFwobiiBOp7EQ9DUbieItOU6LBtlnpBB6ChO 9S6TkoR7e6zzc/xbBXNbDuAiYeNmkpQiiK/xOVvrWyoVOcnGxrq1OegownFpa89ao042QpeFAAWe FrWo9LTKytScgJpSwCMzgF2ulrE4QbDTU9r8KEvwMwQI3ovgT8B78OCe9L/AS6AnROyy0niylNGR CZFPz3WfOxTaC1nnJ0/NWDzhOkjzcwviXBEQpU/fqOn7zM3f0z0iYEFjkF9gMqlSlKDNNXPQoMLw R3/0R7JHKxT2lFkNDY4rGyNY8R3pPiIrnUl3CrjlACXDI7AvLj7QoUU2xDXncgR1GhbbyqQyGTz4 Ihpwv/TEOc3Jkcly/9A945564BzWBEC4ZqSqyvhROq0JARjoXBMBDi0zMq9mvar7xn0I7da4RwQ1 Djcf4XG4hEPx3j2HUwhabExA5jC7IuBSCnrT5EgT69HWYtHDNfy1X4c67J9/hXOXVFgoR8DP8iYE 6qT4EuKozRoHk/J7gXRRd1efngXOUsMjU9LiZ01wHzY2trSWnnziGVtd3tKBNTw4oedPpQec82D+ jq2tL2sCZHpqSEomB/myxcGnqP89c6C74uR3NgqbkAdDRkFpSDctkWsL9KVc7xoQDp1teBoErqWF LZHtSIM5KShr/Kb8dgAhYCAdGDIIvNCoqonuALq0qJnnAlRNxNs1MFurbtrJkyf0sLneI5uqxzwr lXaMyCAjUrFse87qqarFkf5tRm1ocEf1dVja0XVjEcHdAo9hnCZ4tJ95yGE7lvvJPSJ4hPwWTmPM UumUFPNFZ1cnXLUxHPLlNIOMB4mVBcLhi1GGGyNTHjphD2pCLQv5FSxC05EWjzt3h4WPlyH3DMrG wtK8ZtRwvIa9vL+/I6E+BPWqFcThkgpWHR2sh5bWxcbGig0Pj6p0k9kFI2VxJ1lSfmqDx+LWPzBg 58+fFqGWziAgOa1qWZdVG8JIN7fW5dQcEi8p0f73/+3/sL/7j/+vE2/F6o5Kt0uHTyKljh7dt7n5 FV3jydmeABBP2+zsSWGX4Curq5vCjubuL7hIY4SypGSXnjwru3XWBvf//PlJydgQoAi8lPiYsjK6 o3sfd3NRupOs30arFmC0TnmAKsLzwXGIbGN4oF8bmfdiExJEgUjCdcCfbWyuKdCRTXV347AcPySo prBck4Bgwuq1lig0D3Otjq1W+50bYHzJe7mkktnU9ISeBcRQXgRmJicySbJUykLWh88AMlGAuCRJ 0NLSry0aQ9W025595hu2tDSvoIZs0id21drTndaorRvQ1Mb6ttVrUe03xCZximrPxm1kZNA2NtFY K1o8m0vaJ5++p47Y+NisYQIDp0cusBU6Wi4pS9kTisyLVgf4HCEV3LSeHicYCtjdhJ+yrQDDA+LB f/bGPM748dE3DuCUUs2trHwBEPFdYYCuFJK5Xjrw+WygYnH0UAomZO8evf9nF0JESg5RnWx8b6I4 JVKtUbX79x/YmTPnxKlKZpwgKPcVuhVxxi+y1gi0fx5OscLharpuiajL7zaqPv4D9jE356XFyROn AryDblhNmQL3EodnQE1OYebNJMvUyloikRYeI50jc0E0Ag2/OGTcC46NZeqqEGhzHWb9/d02Mzul gWeL1IJNdldEUbp48/MLAa+GjmdeWlrvvPsrkTXJAMAq6yJLdtnKyqr0vPluBBO+G9iGyJJNWt8p lV98j1//+n0FKHAplRZRpKV99IVre+utt/SMzp6dtXLJBH4vLizLTorPvXTpgtRDW1ZRlkerfGL8 hM/cSQ9rQwEV/hh8MoIW2YDA5EbZOju61Km8deuO1kdoIEsWxL+ZnJywixdP2MrymqR6yHjAYaTg eWhQwaHmmQ4NFagSuazDCJVKUUA/1wLGJQgkYMH7bGFdXcxQiwusjz9r7wQDS9lunsDV0vpTPAq6 gmGw8Ozqi9hW0d9rycj4GAcm5fi1a1dFveC6eH40QnDToWnHgUl3lXselozcK743GTTPh2C3uDin YNfV2W0LD5Ys11600yd77fy5s5Z9rltBjvvNz1MSxhN0D/eFcXHwxb/3/Vft3XcuS6VyZ3fVmo2E 1aoRsYHhWcihQ5Pm3i737IosLKEYRN1aqWJS2mEXLkzYxka/LpDWpljSnT0Pz4kHT+N47Dg2D/UQ xSQu3geLM6pBWpmIJiPWHk1ZZ1dWpyDpPs92ZBSlgaLt7G6KtOZyuY/43GOvJps84LmkNF6DgzI6 4QVNyfM9+YxIrBF0TGjv1hQM+HcxLLKcUXpM2uOI7Ea8lNkDIxboaEkbPSYqAnNvlEuUmKTX29s7 trC1piyjpyenayfVrtWiVoXKUEJwD8dn/5BmPaaFwoKnHFQwZV4xcE/mrm7v7lq1ygyfl/Dwaki1 79y9rVkxAjzXjUQyGSMbit8PDHYp04Bgynvv77fZznbeZmdO2ulT5wXys4DQkqesgyD68cefahFz fzi0VDIFkrmMxJB5Qyik9N7c4rMJICX79re/I1cixPjY6N/73l9qBIkAwz2AxMqzpLSV3lirqd9D g2AMhDW6t0dXOGZnz80oA6aE/PDDD+z117+jQ/ZgvybaAKc494GNRzMJ7GtvD65ay+7cvifog6DW z2cF8geeMSNVTcDyP4YQyYaqV0tahwRFKTUEcssSsqs39X0IYipnNMIF8dcz4/z+vmVyGXemFr3H VR60TPUMnUbgi+q4jdYf7gXB01ViXWsMQUQCLvddPpoZ+G51QUg0OHCdarbA7+KBSi4YV0LdXrrE y6uLSkA4fGiQTE3MqpMLjAOMwdoOh3Ao4RnVWl3fUAZOxQEJ2kbHBuzK5du2tDxnU5OnBXghjZpI Zt07TEQyH+50Hzx/eI1qQy15BkkBIfN5H60gnaMOZUOQPXz2Rh+vxx91iz7rX+c6VlFRGhpNTrTS IYhMa5jan8XEnwF+JhLbSjn5HDap2rT6bNmHHOObBWoNUGcbvG/TqpihVpMWlZa3k/w4NfmO7R3u aMNDo01bETk0YedOXxJ/ywOUj3Ych/nJlAoF51FxjQDd3CvuJdkCnSyGmzl1ON23NtyRd2en28vH NGoNft8oSwh2bEhmIDV+gr56xKVpuQ/IeIAvhLSS0LXnYC8v3AfpY/AAAhOLjoFWKApwwdiAdBAZ UiYwb2wuWm9fh0ZaKDeRbmH8pb8PzIV2fUqBaXgESZ2cLS7NCXhHMRUMDlIo5Rbfk+DFn9GRW11d 073o641oEuBv/nrW5u+vCnimTORebW063YAg7OoHEZWrrMOtTUxVMzY8NKQFHg6Tw1WCpkC5SyaH WwsYCJ+1srpkz7/wrL399tvBQHra+vvHFVAIuAQcnsXwcK8tLW1JbqdQqFoy7UPvXAcHQ2gCyi8M beHRgamirc9rbGxcz5LrbTX9IOGZpDp8Jo738IFjusERK1f9gKDb7OaiftiE+uuhK87Rmo08tF9+ H9lVmLW5CxJNHcQqz527qDGpfH7L7t27byMjw7aQ39JB0mokNRAOwM5zRCaJdQ614ZVXX7B7dx8o kenqhqOYsa7OAXvpG9+03e28ZgsRYmSZU01wwDCjG621rFpHrNLUGd/Z3TDZV3Z2ZG1kaNDW13Zs a3NNLfVse1r0ACIb2AFyKuHJIb5GzJ1F4CABJmcQ/mo5GYwaFM2cheUla19fs9nZCdvZLqmUGx2F v1HVphwfH7QCbO3HgYmcKrGINSINiyZwMV5Vm5ishBLQommLxNqshg53ss3qraa1d7TbWGJEgOr6 3XV79qlnpO8EhkP5xPdxAp+XityYBMO46Jkn6dI0DYmiTC5lp84xWrNg23ubtrQ2rwjKCSmOFgqd jYbdvP6p2vwnps8o+pPaMy5IYgox/WDXrLMrbvmDmqXiKUvFIzZ//75NT09aMh63KmqmiTZrthIi q/b0DSq0rqyzEHos3qoZT4lWcqotYyV51NVUJkVTNXuweFsbhA0MrujlKaC882ecmcz3LAqHEn0h BvcuL4nm9bUV6RWlkgmVen/23X9vP/zRPygwsoHef+9XOqBmZ85YsbBr1699aKtdgxqDIeBZJGEH 83uibIC77ee9pJEr89aWbe+sqpyFmAo/Cq4V4DZZERnS2TNP2PLSmsqqkCAL9kVA5eAkWKCvFLWM FQsN6+5MWnq031ZX3OILIHxgIGerK0XJU6PTNDSU1eELZnbtOrIzOzYw1GE/+ad/tFdeeU14SrXs lI/d/I71Dw1qrSYyCdvaLVginbKt3bJF4lB6TA0euSQF0wmse559Mh2xheUH4rQRiDRUPtgvLKra qFsSiRQNLstSO3h5Rk/Thuz7qCkUTFAckz3yucQgu8JV6FEA+ZfxsT6Xkf0GckzwnuKA6ijkotYw qqYcEwjAEty/c6cuqkRmoNwx7abtbleUKGgQPp0W5MCNJKFg/V29esNefem85fcI+RndLxj9rvbg Ej21etHiKbO5+atWre9JqbZ/oN/VGnp62i1i41osS4tI8VLLD1pnB4xi0kJmjViQ7d6tqiM8F7dM G4petNEpNZAEpgvmDFlOfDYE73Xr1pxKh0YjYZubRc101ZsdVigdJ5U+5n4Lh/LxEp/bS6u8AGwF IOVLuoZZXWk1DzkU6Od15cplDZKOjHZYft/Jl9xEMCiIm7Gkz46VqpXDVjSbLyzv+FmyDdJiXrw3 PxuqmN68ft2iFfC+kkVScGi4Hjg8dAZ9hgpYgwXIA2ZIGNUASg+CG/gAbF9XDTDhW2q176zb3btb QalBIHSNeCgm4AaNZlFibxPTs1owLhECFuIKEE5vcLa7GiqJqBohLHCCOYPddHFOnzwlr0JUSsvl A/vwww91H5jt4wASNy3vAQSbMLhQdOnoruUP9m0/f2DpTErXyQykDzbjFuxdM2b8wIzIzKFNDA+N 28hwTG1+WM9QUMQfa8G121LHMyzn2QBOVC4oOFJGbG1BvHRycC5H5k1zwg+SbHvc1jbousKVQ5Gh aAcHu2ocQGiEV0STiffMZQcV1MFMUPIE0OX6WBs8O9Y3HWHhtuCnQAsA+RzYuGLL6aig5gIYJ5kq QDxteN4XKMHVGb5s2u9hDKr5JUEn+sX/9nf6AtttKei6Y09Mbk5kVHR5ya7p4qZHkev2fcS9Cecx N7da4t6BQ4EPE3TBVxlsz7WTlWH2EdVa6OxE0cRsbW1HJXb/QKfdvX9VdnzjgxM2PsHz77A4F8KC 6e5N2/QMU/Yx2VHvHazY2obrbWO55Omwkxz5QRYPnbW+vgldJBwda/ipxSZhk9HipjvDFDflAekz OkxdXW1KySXyT773RbcsyqIMZ7BwDE7o5EUCQ3iGaBNkFW7PRKDEDMLao+q6Le8tq3uZz/fpmmnz g+O4k24GFpZ3ZZjUD9R2xKzmfyPuUoxxKJySsDwOiXQsGLgjIbAfdgNZzCgtJpJ06rD7gikOTaJu S0trUhbNtru2ezxJ6cq8j2up08HDry1fiMiT7tr1T4SVEdxEXaiV9L7MEN67d8teeOYlqZjyXRjS ZbNxD1g0BIlDSZIYATPpwaORtILkbzbMaNUXGSvZFEH28qfXrD0LCfjAdnd3JCIY0hl4T7hkCO71 9aXE5do/2LZEustu31lXpslcJF0yAj0ZFUEIIJws/emnXlB5e+3aZW30UM6F50M5C9hOIALrcoIw 9yBvxfKeZdrGNHmQP8iLlkBTCAVUZGsKe4jHZaQMAMUhGiebdjMRStJwppMDl4Da1Tmoe8IhwfpZ XtpUpYCul0QaqUmk+hm6y4CTJrVpOby8zK7a6tqiGh/Dg1PBgWyyJCPYgVN5g+oRAeZzNIXfFpeK fgWFma+HeRHcheuK4uHOTShxsM/J0hcW71hPL5ruBOuaLOB8esR5VGTOcM/2dssqGeE0Tox1WFdn m+3ukIxQHtPN91IYL0QwaUxZKAEHhtoVO/glGhKnDqchmxU5kb6+btvfL8ghBX7Nt779nOaaCGpE U6KhNIpWV+2jT2/Zc8++Ln1vM+zISeu8BmWzZLLth0GLaCyzz3Z4KlACaNGnHnNKHCkz0lFCfpf3 Pj5CwovMi8Fg35PBw2OinKCVIp1NavHfuHFLbG2GaDErJUa6EWrUdnbZiGRcvK+rMjDKAablWAMd t6hMGo5kbj1IAtrCMgcDIgNpNl0lkVOEf86N53vycwT1uTmUNKMyWABor7WaQYDxYdOw1OCBk53y LMJxCdJmtcPrZQUsV2igBK9Ye6Zp6ZQLxuHg7D51LvnMex2CpzjuxDlIsB2Pqi1dKR8If5L+tnCp Tuvr71RmnEw6l4jMgfeBZ0NXFmwCW3g27+kzJ3QgkfmCb9FoYfSnVCxrvo9yjyyYe8rhpyBpUWlq wZuiU4rjD7N0kFHJDj/44H3dhxe/8bw60JTG4JEA9swzgnZUaxhxwp1D2I/vXbPFRbCxgmU7Utoo jAdx7QR7gifzhXQt//hb/rlsuvVttMv2tak4UH0kBToNxGj3AUSCiPuFQayXbT4hQYA9e/aiGkuQ JdHYYh9RXvu/IXAmHhGsfs9mh7+zl+OgQU/JM/Z6xeoNPxBR7Xj77X+24RH3fmzLZqR/xr+D+zY0 PGCnS6fl9B2P7StY4caTSnYE3K2GVStVGxhoU+WFgu74eJetb2zbzdufahqALm5fX6+uRge8sosg LaUDF43FrAvW+qVZO3lqQouzLeuaOO25XqvX3TB0fT2nbh3ALCceERV8y2cHPVshnQR0RzYEzpFP +/MelHiUOFGG4Y+dONHHCoxp4US9DPPyEBVMgob/u8+qKABiJi0Sb4gnwhQ4AZaSBX4RrGYURPf3 cH1B5veolcyNBOQNnXHcJiy4GLfVPZRs1Z1TyVfUxDrZQWj/hXpio+KUjBAPgovESEsmE7XCgWMU bAK0tFuNqB6egiQPvwOA2TeGZhjFr/LgRfaGnTibZG110xo1hp5d4N+DOr88YJHFaOkBwiMD3I6t U8b6+rtEX2g1qyrhxCZeeSD8kfvLs2Sz08nLZpPKhunS0AGcmBy3yUm4TS3b3t5QcIAWwb8nEFBW YuW1uXnN9nb37bXXvqlni4omHoMXL17SYDUdOzb0N1/7I/8ua94h/c7r3xXvBrzylhyJ0AufVmZK 9sY4EZgYLHvWEiasiwvrtrA4b6NjjNd06zCivLt29bqum/Kfa+DgFBkz0O/f3FqwZBp2/bh1dqWV eVIOE2doJrkyViIYw0pYMtGuURJAZQIShw/XkN93iRYyO1+LTjz94texJtBvEERx7LcKAAAgAElE QVQ++/qqP//blY90+PAeEGcsBWfTZWYcp0za1NSEDmsaLoxIsXbADOG5YZ7bitS0Jsi+3MGHTK1m JYyARZuAphOsz1jL8gclW1y6Z7V6wWZPXrITM/gh+LW4RHII1GrTNwM2NTceADNtuVxamw8QLLS2 4mEPDHTby688b//5H960QnHHIu2A8m5xRQDkwbk8RVn8CyzVIfhNTiYE2IIJkEJHviQtJisgUwkx pTCQuKkETrfhy6kNx01S+TMGd0dH+jWnNv9gTq1VShTSXBYxGmHU6Hr0QWSSNlAG2WLq60qgNHpU XvkLnAKchlKB7MpTZRxHKB9EmBT/wE0J+FFwMKbg+d6UFALEY5S24b2AV+VSNlAG+DcQ8Dz4Qw4l QCeV8UEwZDjWtcaRrsFMtDfA7kT99cxNn821JRy/2ttQ58bnDBktcTEOvjvX29vXZWtrS66H3oXs ccRHaSqopXqZRJfN2ewF29zYUxb94guv2t2794VJkR0y/8da2N7h2sCYEoEyqEs6Uzbx3QDACTYc PrDh0fkqFCpSSn3u2Rfsr/7qz2xra8+uXr0qmRsCqmd7FQUfDk8wv52dDdvb27KnnoaVn5UtGtUA w9kEejqV3Cuujc1HU4BsjFlHZG7QHvO2ek0HChlhaASq7ApKQ5QNnBL9g58lK6OZQTCjEpAPJRMQ TBxoCN+5jI+cAfyNCKAPBZvIcYrDF4lZPmT4Gn7mV/lv8FKFYK5dD83JjTq29P1YHy+88A2NY125 ck24MsqurBGqJ+ZVWW9ws6CpoL9fH3CsmaqmrS2GiIZtbBT0XmBdZFbl6p499/wlO3lqXMEKdgCB kPUc57SAnexZCW1+Mi1wFwehAYF5iBInC0ghmGCKe1GB+9RnBweURA3pNQvsrfM+0mzUJiUT6+np DgZg1xSwdDvVJfli4ttRAAqCFYqfcvIIpF7UU3Nwk78L9avCIEyZB+hN84CByvWNqE5yykmB2Bvr QUAKxieCkpNyARyFDNGxDC8Hj9spkZEylEyQp+UPI5+AxSYEPAb7cqZ3TZ1DNSEOdqxU7lfzIqLW uAvKcei7Q4nfFwnzBbiVStLAPcTLbf4d0jPICnP/oUJsKTBJsSHA1BxryOh+RVoNSb6Ae4ENuKRy 2lK4n3R1yZbs9JlZS6ViEtGr1gqHUjiSCBZlI67OH5Pzd27ftZ3tgvUPTNrTT77kAPd+Q9gDwZYh Yighf/bn39ZJTEnOd+cekDWCDQ4NDui7d3cNaP0g5bO/B3cprVY3weDGtQWVmnSnJidOijZAp+n+ vXmRPQeHujVeBN5H0wetcDTnDwp5laXOPO+14eEhzTyGEwshDuk2WTg8YztFNg8EELNCiYPb6SEi UVcp9/ChjtrW9rLt5zdscIj75tZg8gxsFINmS8QSkZQ1cPTB6+1RpOnPmbM+Tln3eAXSeihwsRi+ wEFZAeihnw9L0i/7bxiwIDu3+egXpTOHPRmUPDUPMtaVy4lsju8BzR/03Qla3V3dVq6U7F9+9iOt SZoee7sHTk7mAGtPW7HE8DQBqSrY56CI8F/BTp0Zt/MXMdRlH0AncVxWlZZnOF76cIKonCAVlKZT 2mp1BqHTSowJVK4EkBHgHrGGjU+MyA6Lh82EfUQDs84RCg0UBXR2dUmHCAwE8K5WRzjvy31cNQ6h UjA0QvWAQvCgVIjHnJEsJxsCSvSIpUzQIpOC1oDMOW130lY2F0ELoubw2IgrKUouxpU9C0WGvXct f5C2SNRlWlxOxzODEEtDeqcNi3Zm0vYKKgs4ACh3UBcNO12aOUwnbHx82D755BOrVEcVSFpN9Lwd hyNwc7/4GNmlQy6FxlBysqK7+3gdT2kXZpp05+bnH2gRAQrnD8B1Sj5HmGHaoE1cJAh8KIHSgpda atRUrnV3DlhqJS0pj5nZJ0UAbTSqOggg4bpKh9vRs/CACPr6XGKI4fOLF5+3ro4e26pvynuOZ68J iJUVZddwb3a796VCybO/dPEZ8amy7Rnb2ysfKnkSPAH9xXBWg8cVC+gI37x5U/gSll3u1IMU86TK xIWlW7a+sWbplIsgYo21tb2uxpBw2f4hmxifViAjEwLgx+8RwFguSaiJtOJqGoWyvMS0/Qa6YDRo fJSpXK1bPUhHt7bXbHdvy0ZG+52QGyNQ74lwCjXDoQGaGXvCBA9Z0iHW+plXOCv4OIXdY4Eq8vDf HeNlPZQZfS5AHQawL86oHr421i17iyyeA4hn6GosTdFP5u7MiVz8zDMvCL+E9lEsVvS8gRhgG9Ck YJ2urb6v9cN1Q4hGPqlcrNiZs6dse2fFFpdv29SJYbt46ZS+FjAFzRJNbmjPm8UPNaw/w0c7uqkO jPufwTOKZ8LZQJjhUekvnz03az/7l3ft5OwFqxTBf+qWTkAbqFhHF4O+pJIlEco2N+Z1ypF1UTER s8RTCV5qzTdI/8h44lauVJ2kh8QKgvStqO3t5m1kBPmSljVxu2lrE2N7e4s5RoZmccRF66hgjURK nmt67xYOx2kbGp2wVFvOtrfXtbgAZwkAGplobxdAy8KGqsA4Qkgi9UwruBuBZX2ae9A3JK4QGQ/u 3PPzc8rMcjnGVRpq0WqA1Oo2NT0uyYxvfeubKp+iFrdce0ampgSFjhyNgIpBBotHkwqItIQ5RlIp yIgNS0s5M6nBW1rySDEf9B847yrpmSIn481bV21nd13zg/IINO4VBg6LusdoaKUzDAXH5ev33vu/ EimWIEdJydybgq2MBBgl2tA1Ui4yqsF3EgnWEsIoIF729Haqk0nmIkHAWlMjNjeu35V8ET/P99ne PrDOTh/dCj3+EJCjxOO+ko1PTg3Y7dtzuv+XLj4ZrFOsoNw9SIaeg8MK7pMTszIzqNUiCpLPPvu0 RonIkkXjSPv4FkGKhgIYmzJPxgIaTasUSzaAvVnNbG+7KNmfJushk7T9HagbcObMrl351La21iTT s/hgTt3VsdFxKXtwzbT8RX6tkSm2W61c0iEJvoiRAzsRci4vmhCZNscHORT9cHYRRg7G0M0GzqCv v/oxQT/XYytXw0YQUw4OlYTwBViqkpHg5/3n/LBlXdZrVevsBAD3cTeCEb8o+3z8DTgGUUdX6eB7 0bTysSPXzDo5ffaQ+kIlcJB3Uxbs1f7hH35gf/n9v1CVBhwAfj13f1FKGzRZWEes6zt3L9v27op1 didteKTHEkmI0XVlzCHwH8bcL0lxHlEbP5SVptMxSeoyoMiDTCV6NE6DfAhM6L3dgmszxeFkbOgB uG0QoDJi/Q5iHw5Ti+1LZ8VVM10Y37tnYAPcTHR2mFuSU2/cHxwLkexjaQnplAMbHh4Xv2y/EMwy SvbFB4tgHsP14QHeuHlZJQgZoOygCgXd0FOnzhyy00NHZDfJ9M+TLxy2WmUkQtrFvyFI7e8XNQgL VSBTdOWE1bU1kTahK3A6w3miwwbgeO7sRQ0nQxcA6C6WWHQ+/7G3n9em1zybJeT/B4lPLGphVChH wDmjKeKloGea/ncEinv3l1U2dXV32ubWik4txyPatGDpmOKaQ5aAqB2OOR2dGW1wtLfJtJmxYyxI pNsmhOElccnwY+T+MUyMlMzgUK9AWL4/7r7eqRsRtaG3Z1gUCS+96Uh6V5kOH1kLihEKdOaBBc7X 5uaOVCrpLIPnycg0x9wq4zMVu379qvAOvu/+nuua0UDA1p3OND6IeBEyJN3d1ikgX7pYHW3KPnd2 NvVMyE7v3HUaByoD3DefzWwpgA8NYQq6b3fvukyNGzMkFZyQtnnn7XeFp0GKnZ09pSDP529srKpE 3t7ZkEoqXC02+samG4mSBcJ9I8Npz6aVuRDo8vmyNURziVlL5VDIbYoeZvtALcADmSzKpF5xaN43 OFhDfX/nDYYTEnS/cdYu6l5ynT/96U+1VlinUssVCTklbJZ9Eezyw3lR/p7vTgBLpaJWLxNoub6j BgOfDwZIaQx2xd4AJiLbakt36qBgJIrMCjLy0vJ94VczsxM2OTUih2LGt5hTffj1CF/C5ld30An+ H37M5NSwffDeDbt4/kWVj2RGjYZrCrFZud9cAMO8nHiJJG3vfisdBpQQf/IRhRDw5EY4VwyROwZZ R3RDnWuENZePutClI1AhVEcGlk6jDW72J9/9CzexDLuIAvzQ8crqxlMurK5uiMpB2soGFQk2mrTO nh6VBJ5ZecAKgXkN+tI5iTWss6PTqmlKZfCRqJjd6J7Dwm/PdVitiTtIUhsZsJaShI1H25zSlJMX FrGTHcvW3Z11/8KDsGRKeCeXgCsckQXqCqhgQfWaj1CAc4lkC/k1nlFQgRek6YPdNjso7ChV7+3L SRlhcXPRknHE/PKBmmz5MNPkxffjnvKdwaSYN+S+0HWTqkekYS++9KTAd7X26wzCogHOgTFq01On tAHv3r4sQL2vlwmEffHjMpmYwNi9/J7UDKBY8Dx8nCinA4SRF7A5DYPnwIPAVrGGKspeHtNayl0C FB1IaYjncmoKANKzWWvxhoLWrVs31TACL6EcJAPv7Gy3jz95N9jYKQn9fbL/kZ4HjZhwZo73d1OG mspQ2vU+gI7K6oKeA4GK74gYANf+1FNPKIhRRvGM3/rV5UN9+ieecFVVDseOLtj8DPGXVI7DUwwl bljnUD8IqHS5t7e39Xwwi+WeQKnp7IHPF9howQGMYa1F8wY4As4bhOCyGhD8PMGK+0KGzHW+9NJL h+vau9D+3/DP2Kuu5JI85od4pP0OHYiXsiHHl4Tt8l0VZFvMuzL8j19hxLq7BhUIkSMqlfbtwcId sRKGRk/axCT0KNx1/N7S7Atx86OAdehC8zjw+4sddPhgUvyR0UH76T//UiAjwTZpccvn4bq0a9Gy mDWyE4l5a7lQEOnPMyonfjoucySvEZpAeMs+KcKpy/HC63DGcm+3W4wT+dGVCmfomO2Cf3VoSX8M uK/XHS8iEFy8eFouz2urW5ZJ5yzanTwMCMzEsWjUlQs1uRuBPrcGVrnWWJD5EVwYm3F+V7G0b4Ui GubXNdtI9nXz5m3pN73++ne18UmLMYSAmMtslRjfTdJvXxChRTvBWZ21ABPkJaE4ptfx1pNYBN+R U9UVBdCEGh0Zt7/83l/bRx+/a5FoXek/ZS5dyDhjQqk2laW12h09e947VHHlxeZXJintr7r03MET CE5wufr6Ou2Xb/40OP3jcm/mREXLCiccDg4WKo0IsovOjg61yDs6wKpqVqlVJKHsXUlko09qoeM5 yMwlDPWZ2RO6nstXPpYelhQBGCrOZNUIIfDCvk4nO+XUwwQAm/nBgzkFpunpM3bv7pwAd3AlgOP3 P3hHooQEKSCAqalJUV8Qg+R+sN7IwHn2yCu9++47yuBffvklzbRtbuL2Utbzompg/REQIK2SHY5P jNm9+3ftypVP9dzRhH/1tZfEbQSP+8Ub/6qA6aKKvQL5qRbIRFl7aG+RAZJNv/vuu3oOND8mJyf1 mQQ6Pm9z46699c67wvngqxEEeRbeydsJ1FEzh0RerLj4zuF+9wrHDydf35SOZGFuwOH692jA+QSJ 48buMKT9inqF+FkufglOGopZMpERThVQDmuMquGZGV11ss71jXlra4vISJUZTnfGxtqMqQW675+P R0HAepQLzVdxzoFw6oA3D3JsfNCWV+ZtfPSUOmB0TpKccjWIojWR/igTWDSlSlmg3GAfJEbYxUf+ aB60mMr3rCZMcet1Tg+3emdTQh+gZoa6EAaxWAqMoC2Q9G0LuojcUAfVXcTfvwuxMp9v2ujouLW3 70uqhA1BUMxlUTLdCwB8f7jHHUvIMFSSIQVdOlCXrdkiu+I0gu+zKSCWBzf/4L5wJoizHbleda4K B2WbnOwX6RT8h/fFrpvNCHjNYvWTzQer6WK5dx4kWpoIBac9RAjAjKL4cwzdXtzMFJflbpmcMuJA mYVbMpkEzQGY3dVIRbLQkizOZrThwHikf57GIGPLstmcdXfnrKvTZ0k5AFBboLzd2dsQP4pOH7gL nT6er3OSGMXaUkZC54g2N8YPLMzVtQUdMMxq8j0Bbi9cuKSNBgbFd+A7MqxMkGXBw7u69MRFbRa6 jvyC4b/wYFmZMJkavMBGs6yOMQGLZ3H+wlkdJmiNHxQH7OzZ0xqNQk8MKglKI4lYu5VLZaelxMlc K9LAZw6uXNm3WKJul6++742eONrwKcftDnaFl9H93M/viUT73ntva2MTBMn+f/jD/6wgQqmJAgbf LR6raMj83j2XvRGto6fPx8hGxnRY0Qg4OYtXpeNSkQCjoqETYlWVesODl0jdbobr0wIzKuEIYu5y A/HVNb40aiQg2ydDDnOQsAMugwv/fejPYC3HzziwmCP2gywoQ3VIHhmxumkFopiUonTKK8rAkmm0 0jZ0QKHvNnNyxJ544qSoPNLIDUiV0EaUvUH5OV7ZAbp/Jl36TKB6nG7V8f/3QEf7nih78dI5+/m/ viPaQrNFSdJ/1DGMxJVq5zoy1tGZtXQ9aXN4yUE6TeLa4alfGBCUckYoO1wskIDmA8wEwEog4ev2 WnSDeOCkrZQ/LBKyGkoEdyhxQJLPCMvN8HMoeRwg99OJB0/pRnkIgIy/XPgK9bVCEJ73LZYPBGKH v5cbjtREqzJ8YNNQ/rHIKIdk/V2k++aLgRIllmiJy5ZM0XXCWJKZRjI1xhvoPMbE7I6jhdXAtn5L ypzMb0GrgEgKR0rjIw33mSObIKDNzS9oQcfizC565kBQ4vTb2ty2qckZB1pLcJm2LRrh2vFmZPSm YM8997wyYjIPrjvUO2cjEAz3D3Ztbu6B3a7OKd2fnJqwwkFNgRoS8q3bV4TttGcZrl5WRsWa4b64 2kRZdBMGosVfiiSUnVEJcJ8ZEgfzQfkj1EIbGhwW2E3Z9PxzL4pr5c+lJuloOrwjo9hxDVs6STcy r8+DvEyH+N49GgA5V/vM9Cl4sBzYZPIiTBGwisrwUFF9+pmLrqCqIV4OX7OFW/f1PLkGylSUNcmw yOS49qpMJnbs0qVLyjRZc2BeAPvcP9Yo1wSedvPmdd3f0dERYX4u722BsYlnNyEU0Wr6XB9loNZc FOntDj2LEFvluTOmxfqSNFLgUu4mI9ADfN6XFxMU4dpuWui5GWZcPqPpgL9vStfBM0kYgaXG8b6E khNHPikwrmg1dICDg7IfGtWa7e7vSCaIzLS3P2MTU6yVQVVjHLIh+0ABS9kvEIerrh5FVAWsxwSo R6oWf75sbPo0nqI24PvY+LBL7ppnTNIRwq+S8ZKKG1JKk7s7Z3fu3PHBxw5kVByED+vjw5sYlHgE E1cf4AR051h9fo1uJcPbfI5zskIjBhjtOs/J0MDHVD6FbVwH4cjCnD0PT8rra7SUaONyorO4QmxN Lj3pI3dcFurm5oIClpQLDOnhmjYzbXcWeb27Kg1x0nJwlY31XW0IrONJi8kI5PSy9cAKpd1D1VGa FKUK39lPQwJ/udLuEjFbixaL16wtC5G3ZtV6Xps9YyxEAPmqslOCIS4xAOGM39CZbTTHVbIS9MFX Tpw4pefE971S+FSDxWQZ/AKLooQJ8TruBQA49xfwnuCezXU5v23NZYPTKS/b2HiUWJFoVdcIb6lY 3rFVqV6Q1Y5qSBwdfjp2fb19ViwwCpS2wYFuUUswb0X4j4yGRgn3gLIQ2gjXTCaxs5O37q5ez1Cz KRse7bGl5Xt6JgRYtN1Wllct15G1bDZjs7MzAtKR00Ga6N7deWU0lF1MQhCcXZwOAcVddZBh7nMP QtcYFFFhupM1kyUur9wPDHBxXmIsCIkVyu1N/SzYnySiq03b2syrW47cOLN1iZRrclES83lr6TUF NmTJfc25NwGHdUMWboFPZtBwQaVNUk91DhKSA1cNJltvazuyF3NZKMBv9ohnQk7GPiJLS4pbcMzR HjychHFpsENPzEM2PzVay1Un1IkMMjTnBFKlsFYjVm/uWtNKNjTSrwmabI4PgL8IuN4ZmNU4zxA/ x0doYgazhF8UrML//4KgRf5TR2Uy7lyil1563i5/esviUVjmuxKXR6aG2pkTg6hZq+5bXz924R0q H8T5SqcPxcrCGxaSRsOSTJiWwHjKQ790NOPpVDIgjYYXXa9wAFvuP9n2YNQmGFCOoEPuD7AVc7MG hpUL+9si/cP0nqqNqixh8Fiyry281Bhp6RK7mSxPbeDivjY+evCUkbLI2tyxXjZfkRN6XZgQpTHX PD19UmUIAQlrI7INwNbR0bTwrO3tfd0j/j70fwtTY66D74W91crqonX3ePn26eUP9J6wiOnGysjA mgrEEPd0f9NJy3YkrFZsyMzUB7/dyAGXGxmOtmeUxbj2O1QST/kJPmRbXAubkkwUIJjXxrqryz79 1PPS4obpPjmRUXlHkLx8+ar1D/TZwuJcQDaMqAQmOBA879yes+ee+aZZK3nYBWMj7uyU7JNPPtIG gwZCR4zvAekYzAjAmGypPYvMCZJFObt2ddkeLOxZMs2EQF36S9wvyjAspQgKK6sLls/v6v0oybn3 ZD/MZbog4LICB8D46cnTAtgJInxn3ouABC7a3pZVoOX+co8A9QnAYFUcAvD7eO4nTpwUx4sMD4pF /1i/smW6jZRvZFcwwRlJ8TVBV7hN5gw0qMi6mvhGBvLMSem+H/kTegbkLPzjBq38PhTcZO0ILAf/ bpGB+7+TXZ0UVcPAEGBYgewS+0O7+yGpZgRhQmNhUZLgDYbCnpGW9OXgCcLrg0Jzf/6a1DyGRzvs 1OykRqfoLrasKPlpGlZkar7WfWCfA4rviYKGU2w8WPE6lmEde32p/Ppx3lTDEszC0WaPAvbG7Oz5 afsv//hTm546axFrs/ZMm5Uqbo8FQ7sz12/bWyU7dfKCffzRe4ExQ2Aail46BhfU2KgvSEQsag30 oOIJq1WaloFXFQTVujgldOWc58WN+vTTDxVccrmsOjQA/5zigImcVJxaMGjjsYTVyi2LJCLWgUZS vWCV0r4NDXZavdYvb7vOjj6bnDghDhdt/wcL9xT85B6STiglHugbtzJSOU1KLmyi0MRqs6HBSd14 Tm5E7kjTCWiYlE5Ojti//Mu/2gvPvyKMaajPre5D+oRzaYL2dNPNG9icbDzuP55/dJXa26Ju6x3N aK6QF9nn/gHA8K6trNzXAlhcvBOIx3EScwr4d/j1e2+pw0Q5pE5Yg9EUjC4ZYMXeDHa7D67T4eW5 3LxxW1kh74sUSKMJTnfPzp07qw4YHSrhSqWKNv8v3vi5nTgxpTb+m2+9odMULSxA9uHhAVtb9e4V 100pwH0mO71w4ZxwtVwkp+yXcu7+3D17591fBnZhkJK37Rdv7KmUJItd31yy1157xb752nelLU+A h4G+u9tSZjQ2NmybmwXr7YXjddvOnT9ps7MjosFUymft2rXr4gpRql44f9GfvbLLiJQ5oD1QGgIb kIVhMIuMNOUns49YVYENtmV6bGIMy/mmPZh/R6U3AZeANjDYb8urG/ZgccMi8YQaEsOjE8K3mMuN p1JWRnoihpS0cw/ZOzUyG+n2+yYFJ64W/XAJ3Zy0tRnSlqCB87Ekd3M4zuZ71oMdo2ShTzH/A2Du gpmKPC3HLLu64ra0TLfWZ0uxrr95c97OnZu0nU3EAyLiWYJVsY8TUfTcExaLsXZ3bWbmgl184pR1 dqaDD2M8h0rFKS3gpeG1HX8dBaujmPPlVPMvCVoxD93BhfiAbXdXWsoPCM1h2ySbdLKMwNhCPx1J BPpEcJPWA1/BIZ1myM9Waj67yMd4u9UVT52P5VZKYHwdOfz4KAHBtmoqRSk/yYI4TWZmptTtk9Sz +ciNrjRIa9NJSig+g1MhYfvFPVtcWrX7c3elPx0ZYx5vWhgUPwtjmgfjlk3d1qhQkmYCYcBI4Hri ihE6DZtN/SwZFBkRi8v1sW9rMw/0jwY29z5qRPofpvEEKljCZDwQQmMxH7Ph1Gxv77RnnnnO/v7v /2/NzQHmwwDne7PpsVXaz28KE+MZHF0XnBt34Wk2GSsqK1Mg2wg9J8MNwP3mmtl0Xrp32+LSottp FUoKQGsby3bj5nUFQa6TNr9bYlFm7tq161e1MV5++WUFboIrVAX3QTT78U9+JKoKm55ynxLi1u1r CgZkV7wAv8kInn/+eZucGpPrzptvvmF/8id0W1PqfqVTWVtf37Dl1XltqoH+4YAJf0N8qzt37guX fPbZZ73T1YippX/r9lVlTlev3pQRxcDAsI2OTqpkJ0N8++339JwlBS7RwUU1D86dO2evvvqySKFk Zr/85S90vwialPFolpN5UVaT6SMfTYaJrj44DtnM66//ie2IcLql2UjUDBgjcvyppIkAZU0PyW/r FewjYUwatgc3PJoxPD5CdvTrCFj3jp899AoNN4/+RGu64R1jIHawyWKpYbMnJyXn02wWLNmesY50 Vq7YoSwMsumdXRl75dU/lelvWxs8QpcYJxYk4oz6/ebh52sELH+h4UT9zOxg2H0jYpI1UWKkRjss koxbLE6p4gOlSimhCljTLlw8p84BICSdJ7ARx718gHR/d1si92wmNg8nGVhCV0fGrJmwrc0D1bx+ ktBlJHV2qyWyGVJMNhunDC3aTJpWLpW/P5dYIiZCJXrgANh0MK5c/VTfBcCUcovvAtmSxQFB0stL ZszSFk3DfUIyOkzTQ5pGODJEIAIMjtuNG9e1aZaWF6QsMDbKpLtzTpzGEXQvA80tTju03NnY0iJq tpRBwifitI5Eu6UTBLmSkgLpWYIJm8s1vZykSYcWsN67OhGL1ONieLs9+16Ax8Gb885kaF7L31OC sWFpfLz00ivC4dhUECNhMPf09R6K9qHwifwxmRydN/4cigGdyXd//dah6BsmsgDwfX0rtrS4Ibb3 x5+4WSkH1omZcQHJc/N39My5BrIa5gPp0oErcZ9p89PhBHck40I1A6rM6MCjhXMAACAASURBVOiw FQuYiKzYp1fe13dfWQavO2G/eONnMk2lOwgfrrd7RNndxFiPpZPddvrUOT1XgqjLpGSERZHJZdrS 9tLLzwhYR5p6fYNA9ZZgCtaWLOjW/fDlu2KRdvo0js4D6kDz4prBbrPt/TbQP27ZHEYZfba1hcIB uudIUGPESnfPG1UhJBINJJRDTIrgQjlGNuzrLuAxxjyb0kC71FKdLhRSfEKKwmGeoTeNHgsH4cgP PCss7AOwv34EwrMG33//PevtbLO3370mbhxrEdyUcv3c+VP23e++eqimEqRxOsyAhUIZ6FDs7w8W sPjWnFgptMQ1C9cM2vsJKxRQBsDqyTQCQtlSByVHFjhGm9U3NlgKQQRyHJwkCfUL96lbd2e7DWS7 rFaH/7Jp7/76ph4KoO7Y6LS1ZwYsmcrKUbbRBHCka0ImtK3MA1MEFlq6RdeFNqlnffx7SqztnX3N KoJvgLUkUnF74flvKPhduXJFBEjUNWtNMsXghscA4t2xJ5fpEUDNE+HvHPz3h9GS+mfgS2iw8Jdk l6TRkO5OZRmaIaRDGvHBWq4/fH9OMLwE29pzVq7QGaoIyGTDEjAAe6EJIBMTiRSsWiVwY8kWs0zM u3whNijnIUrZFkGweMinKUU9kLEpCMpke2FTgV88T96DAMDgK6x3jfSkkFvut7kH94RPUS5yP8fG p9Q4IIsk6BDcfv3rd+3uvRvarAD+dN7gdIEtcU8GhzpdG6meFzhfq0MT6Ze6Bxga9wny5mzHtDKY MNu5cf2WNLTgk1HCodVEcLl8+RMpQIgln22pdD9xAgD/in3/r77nNvYF52FRjqMGQdMHbhzPm/di XZYCPpMfThxcjKnUdR+gY4AZTk+e0XjQrdvXVcISXKEqnDx52tVv46HWPmTnuN2+yTjPtk2Oz1oh X7VoMq6sDtkaykyIo5RLHJSSJ24EevXBJAgvP3gA291lHbDcXwEFSKoT7h0aBgQ/gPw9wizL3+wo mLgrcPBeLf85YiT/hEOIPerKqy05LkGO7p3ts++d+ba689B3MGX+87/4lg2PdOnnoehIsCDI2kMe oePQBCz7AwcsDA+OwfnObkWMf0hlHxpPyNSyAJCwddnYkKjq0Z4uD78AGyXSJS1tblDF6lWs0zF+ OJBFFaUmgPf6xpKylKGBSRsaGnOCJ1rsjOg0SkH3rGS/fOuKFjtlgluCY9We1Yai44RxKqUAp9Sp 0+grVeVey4M5e/a8Xbn6sa2tLwTvH7VmxC2OmJVKpzqsPcXJijuPW8mHpaaTTB0r4DNv3LyizcZi f/rpJ/V+4Gz7u4yjoJld1zXQPJBaRrmoU7yIIF0WB22GxsGX8IEraswEcmqlQqseqZNea2t3RxZc ddkkBBkCS8QCITnJWTetWPSxDe/CSv/EOS+H3dPwl5cCbAKyEAa3AYspWXhuofIBWY2MNctFPZ+1 1XX78KPb+r6UwxubSwLsKxWaEQX9Py19+GT69+uLahaAJwGCIyMTUkXAaeYf3FYHjHXBc8MKDWY5 EjY0LvZ270vmRkPTsYj4TWCGo9F+u3r9PUkmz5w4badOnVKZ5vCAy92Q8fILPBOSJocmWBKbi8yc INLbh8FtRMROdVc3diyZ6LCZE6eE01FJkDWR6ZHpEvAA2r3ZlLG5+yvCLQnqkEf5N2fOXAhgA9yq UfVsl6ghARJ+GZ1qDnIqCoHZkgBqBl3gwMEq0hSXEVwxZKM7JJCSya0kfHiSKOGqAjiuOBLEpeN7 OQhSx1+Ug97Ao8OOxDhzlRFbXLpv3/nTV218pC0IeH127oJjtrx3rR46W4fmG6w31l0YMOFU/uZq qF8/YKmE8RSTV+gMj4pDX9+Q3b75wFZXtrS5sIZSgMOyS1lESzNqzBuGeAkUBXgkTRxsULEsHggX QbSNDTkzc0KjCUiL4NxRrWHxtHN4U/zE8QyBkwDMgo3F3BmZDZsK4iR63PCHujr7tZhJwdH1AaRn kQyP9Gu2jQdAcKhW6UDGLCqZ4A5JsEQjGSbfrCPXL+Y1Zhyk4L54SGtc2ZQAy0KCl+Nkyk2VLWRJ jM/olsE5CRUbGK9h1quet08vv3+IabkuEwO9neqadXVnlbWiQuozYKhqxDzLbTDH1aWxnVKxriAO niUiyuGokc9FimfTAnhvWC0WlIXYnpG1Ngh2yIP0a4MBAlOmlMt54RSFUl7ZIhtdYnr9vSqLANWh fdAYINCSEcNVYlPx35FRzFkxkajb3Xu3rFgo2e4uw8N9GqinnNzdzYtVH4vlxN8DPwQy4PDh/d56 65f25FOXrFpF8gZ9pTZl1d7RdJ4TzxLchY4T33dickKd2IUHq3bp0pNSO2Xki59lDbLWCM6UcWQq ZIUcElAhtC37BhRc+I6bG1sKjqwPniclLZkiwDxd06HBCWVt/BkYFaUoXUvWIlgYPMGECGeu2d+M I7WDumtKgYvrIBsUPBBIQFlwqIQlHd/bO3pOdSBj5LsQdGWYkvA5QDLbI4yU4BGapH6xRDPgfb3B z1IOOhmY0bP8wZZNjjO/6oH0aKTLJyYcksgcixGe/R1fy482i/0DBCzph7e8Nes1rlkCS6pc1MbG B0SWrFYL4gfF8M2jF8poS7Nl3V3tdnDgNAQcmNlgbPyIWpyUSymbnTkrwwRYxbs7dL7WdeMZZ3nt 1deVyXHqs2C4BvG1Yj5ecv/OmgDy1eU94U84NVNDU05ikd3fP2y3bt61u3fmhENcOPesxNwsUrX8 waaCAxgXrPVUK2FJS6oLuLtdtcJB3cr5iJ2YOisujw8oNyyOX6GMKryTQ6sc3O2DD3+tEoZA5VPx Zfd4FO5A+ejGlASCra11GVGQ8bmIIV0XHxienp4SLQHwPJ1KuIN06UBByt2ei3LCZuAY/G1ltWkF HKArbhSCOgalK58tQm38qA1OgAqHp7G9h3jIIixXDg4dvzk9OVQikZQwKuFX4mS1adRIKrXtCQH6 an4whlNx1UovMyEJptzco0KZi9t0hy0sPlAXEMCaxe/4mzPEuV/gQDQv+L2TDev2n/7+/1PHkm4r gef999+3gzxzoSPKyJZXb2vm8H/47/8n+8EPfqBs6s7ta/bqK99y2Zy2rIKtXJv7eqS8AJ2AUpR1 1FHO2szstO45JXZIHqbpQCY7OtanQHr1ynWf/RtFKNBsauKkOGJkuJ0dwRhOX9q6uuFubdn+AcJ2 fRap+yFAk4J5Spj7AwNZ6+7KeianLPZIfqYVcKjCF/QHdRBrtcNfPje4q+dJRkqWDKYYOrUfcrMg VIdTLo/Irnil4lErHbgEENUgYgPV8r51daZs/6BkuSxCfXm9dyadUakqFYYoFVWHMupQKTfsBB6N yR1T8/2qsca+5kuGnYctSW+xunEodwZDTsZCkEgh45EDqMB2mNlkWxsbB4fM63LZdZ4ZR5E1Vbks V5OWwTnqUBeRDcUDcT2rXZEJSedJvXt6sOk6iuRc19hoWa1xOjAoIjC+wYiG5G17u12LveUT+KOj EzrRsdGG/ArGxpCtS6zgI+cscsZkMmmkXuL2YOG+Tt3xOBZIEYvWwhGghosXJtBEhwiZt8mJaS1A gttHH32kLiEs+MOFGIH6UbVK1ZnC8LzYdPw5wYPrJKhNTY/Jz+/u3bvW3zugwMdJ2DPQZZl0p2b6 4tE2m505LRUAANJSZVeW4nGeFSVC4NytoJJ0bC5UyAjxLZjj2VxO2SPYDM8EYUcyFKl2trfZ1vb2 YbkM9YEMhVEhAhlZkty/yzVlDIzeQCXguZAxk6kwFUGmQoCBBR4CsQQn3pfPpbwaHhoVRsQaYDYQ x2hKbTqQ4dA1std8J1Qa6L6ub6yoe3jxwpN25fI1vccHH3xkf/s3/95uXL+jDh4B7IXnX1KmEioY kPkwrsV7Xbt2JRBHZKxkU9fmbuOMOrXbG7/8ue7LxQtPSaEAgmgm3SG2Ni48qJGE+2RzsyQKCD+H KgVZo0UgxDo5emiIOc6WrayAq0bVlWXTewnoTRAv6Zw/yPWxXzyjcfFJ9h6lLkGDtUoH0zuyUWWK obiA42BhV/ARYSDQ6IqRjFRqsqpjfx4c7NleftmmT0wEw/5Na0duBtyzyohc1DqwGg8EAsKuvM/n BpLTR0j/V+FQ/W4D1vEISToq0S/keIMLgZfy6itP2d17G/aD//Rf5BB7+tQFO3P6gmu+y4i1YvWK S1zQvue0icQjlmvLWCwFq5rpb5xn0pZI8atp8WTBEik2oEduTlsW0kD/gM/eCbB2HZ+wJAETYu7t ytVPgkzQrdUJCJGYk/BcB8gVJjY2d3UtLEAyrOIBp35WmVQsmrWBvsEABE5rHATDSd6Xz2GzsnA4 4SiTeHAQLqUsUS7bv/urv7E33nhDm4kNTlD58KP3bHNrWXN2jNsAYjOSgz0XCqboTfH7f/3ZP1tH rlPgMxgBvDOAbAT/NjfoRjXt1OmTPlwuqZrmZ7qRLCTwDW34VE4jOby3eGWBiWyozwSI3ej0jCoV y6j8W1lZ0wbhuY2gyjDttI8PPnhPZSqZHy9lhnEyqV1hbHTCKC1mZk5qQxEUPvzgsg4JFEZv374l 7CkEw8OhcbI6yl1wnTff/JWGuin3NPOZy4l/pi6dXJeRNqofDqfz/0jAfPzRNS336amTduXKDZXL f/TNbygz57M0I4iscVeXNjQAPvdtfHzU3vjlz3SvKIuvXrujDJl7f+t20np6nenvVAaG+Zn1rCnb gw1PxusaVGx+BOioRmq2tDyvQ/epp76ljiUYU7nkwS3c5Kh5hNw8tw2zY/vb/ye41cGIjQcygpx8 O810/RyOaOPTxePZKqNs+kTGc08955l7tSJp6fX1Xevr67L8AURk5KArghzKFVdPJetPpllfUy5e GGDSNI7QxzteXj7cAXy4BPw3Kwk/+/psjoesCq6uY+P99r/8r/+zVcpNu3L5lq2szsuqmp4w+umU f5QIPHDKCcBhTsCd/E5AuFt1x+cmnKKw65CQAgJBAd14N31ET8ithghkPDi5RgdsYDYRWdPly5et VMorYPHn/b0YU1BipQPpFFdFHB4akzM2Ro4OUrek/7S4uKrMgMV79uxZbVw6m6sry/bgwUIwUBzR 6dzR8bQGOrlOXsvLK9qAk5NT6kSSqbCAl1cWxJ0ixZ7oGdakANQBcDeXnemWHA6qF5ub2xIZ3Fhf VRZFpnj16mURc5Fo3t1bl9YUG5HMjLEVZH7JWlRmBN0gggILE9ItWSHPgBf/JrR1C1vxjM5AEHzh hReEjSgANWO2sb5nvX2w5ocUrFGkIFMhGGPogAcic3fgOjxnKAas8w/e/9hOnTyvZoss3Yt0Uxty muZnn3/uGzoQfCwLtYj7GnkiGwJAJ9D85Cf/LM4VFJaTJ0/pAIPsWau2hB8ROObnllSqkV0R2OOx ls2cOCksjqYLVAsCEhk43ct79+9IuRb2P9+Hjc3/c0/OnTuj+UbWAveSAFkpV+3mjTvWat1VpkoG ynPi+vh8+FGud1a1HZRKR0aUZfH9H/l6WAU0NFH9whnfR2u3k4E984wrrPKsaWa98OJz6iyzB+BA TkxMisxZKpetq7tdnf3unnZNRUj7K5WRU9P6xrrt7q3ZSK5bY04By+IhOsRXeR0f74v+Wwesz74E xjVg/6ZNrIIcc2oldXrKpaJ19wyaRdo1K8a4BiUPN7VSKorvAuuZDQX2w9C05uoY6gxIclc++VQb 2rspzmVyl95MQB4NWb20iXOasmfBEOD4t6m2lBj2DGB3dKEQGYwryCXFh6oJEIjTCchvRa2rsyms bX8vb5N9k1qIn17+RLNijF50dXXb6WfP28hIn7355jvqTE2fQBrElRgpFW7dvCOezsKDB5Ztb7Pu zh7r7srZ8sqcVaoHUr+oVYsiEBJUuf5MKi097P29HdtYX7atzVXdL8oamWusLgjfgY8ErjWyMyLM is4OWSTyH8i6tFo4HBWsWKiIZhJPQgth/KZsSbS5253hzn2m/N7PFzSI/dz5p+z27btWLNVscxMC rSmI7e0uy6Kc1nwNPEwYGZ0pZH7WBUIn4mQgfdbbMyjbeJQrea+J8Vltbve7hI+0JUB6ZNjnL8G+ yAj4xeHDkPQ777yjrI7sF+uusbEpSXZjYc899rk53IpSlpUYH+adk5JBev/9d+zll1/V9ANdVLJN 1g1g/p07qwpWCDKODA8H7sZplVSYxgKCM3g9NgpJsib8y3lgyDef0TpnpItfNDHALcE/WW+bWwcK jDQyCHT4MyIO8FgjisCh6bHOOq3gv4eUhPC/YTBwyhD3TLOYcm5yDEueovGYDlCoIxNj49ZqVjTW hlsNzHWeO3pV9frBoSIqjTNEOScnhq0j134oQvkbRgT7Oq/fe8DiAuEOhZKwdKwcT9lXSYbMDBud kwkAESBYnBrRG1yxk5tOZ1D1PNIcqEHKQLVp5y+ctuXlJZVkLFL+DQxbbjqpd/Fg3wdF49zwgm3v MqpRFlcLlnJNciKYkGLV1LLSQejwzHvAKPdrovUs4bfAeZqTHlyLkRSnZvTYwMCIbJ845ekKLS9v 2rlzF+y9997V7CABkmA1MdHQUCwbEryExUA558J/eWu2slap5lVq3L5z/XD4m5IXITrAXxlDEKBb OOEg+lbWe1COkzkCkneW0LPfV0pPeUl2ClRGpkrAF8Ez23mo5MqCJqMDW3KTkZr+fmlxVc/kxBSK GU27f3dZi35kZFy0Ep5PWzutdFPpQWn3nde/JQ4WWROZBl1DshWuZ35+UYEr+yRl4F17ML+iLIYN zr1mng4cjtk6yuqt7c0AA3P6BGvDVS/K9qd/8ucacEbWhoxzYnzKsbP2Hn0fDsbBIVcRPX36tDAp daibEemDITEtHXiGodMMik/qwCSoTEx4Ce/cJtYJqiJpi0XbBFXQ1uvqRKq7YbUW3cFem552rwGe A25PcLIkP1RBvbase7WwsKg11teLYN2XlUVfrvr7+AwN/lfcdnZ3Bd2Ar4XWcVQQEGkvf/Sh1hjY cJ2OsDqBEVFneCasQ+m4Z1I2Mtorz0oaabx4DocB6+Fr+tJq74vcfn6vAeuhD34IR3PnZswikpKj TSZhycI0Z+6o47Bly0MGmJYtdj3kOnVa7wA32d9fgHfdWbvqWjCDFG/a5vaCVW/A2PYJfij/LHAW nUToZDOV1GZh0+B6srB0R+YFqVS/jGBF7kvELcnsFjpfIYCZLwqzQduHa0zEkrYV31aQZVOPjXrb m4lzJuwJfN51iQrwbW9PizMkZrrm0RA0SykjhJM1MTapaywUPTPk59n8YydGdJ9gxXOSUb7QsXN8 qa6TmtKIwETZyWcRALlmghmZF4O10DEIRmxS4UG4KctIAL4WlvJRcYQ4ebkOvgs6TPyZOrbIk1hS JqsP5tdkMU6wZviXgIESQSjKVsb6qougM2f5/apdvfKeNjk4kdRE424KwlwnukozM5NWLoIJLevZ Ub5ImLBWs+WldWXDBDHm8Lq79jSwTABiJIn7QLDjUNnZ3rG1tW39PzOLfFcgABeWc3dn1g4NAYIW pVBUyhY0fdZ0GKLXhbMTyhoPFlxojyyDLBuTDzTMaBpwn50OgpYa5XM5INy6flVoNkyw4zCimQB/ izlEpH0oo1lrUn5AS3+PZssjxDOPKYoc203mf/fVd6d049PtgbCfZ0rskZ50m+1Fd+ypp56y/f1t uz9/V6quZ86ekFT0mbO+Lt1nFEnjTinV+hb3a+UQOLpe+wpqL1/fkfp3lGE9PmgBXmpkJgk5Ee2m uE1NjeuERmLj/v01Gx4a0GycK5M2Au6IM66RGQklW3XBsXTAHWIRFnVqAOLyENTq1pB1U/X66NiI fl8NwHcNl3YyeZ9V5+v+vSW79MSUTAHgk4Q2Ww1MMSTjASXhQI0AyiR9bqRu+Sqb2dnPbdhlpXIa r+D34HWe/bCoI5bfLwpwJrhQ3gIcI1tDF42FTeZx6lSHG6QmYxJxa1pFC/327eualYuou3pkPHAo akg5FycD7VCwpJTFvUgYVaQhjX02oy9+Z09rFrMKV8a7S1gtkVm0tbkiAacvGF/Y8mcGEZmX/r4R 6+gAHCcwZ22gv18ALRbkZMHIzmxtrtjW1qaoKNtbecu199nI8Lg2rLsIJYS3cb0w3yGJdnf3C58i 2JLZoRTb3paWDnhbJqcDARCf60FvinvIHB9BP6Q38CKQuRyQB8X1tV3hYSG/Cr6Va/8D6KedlR33 0vfE9CmtYRoBBDqydLq3HJwJOsMBURZFWrp+cO2yWdd4o5ubzkDLIZPZO1QgFcs9gbOUWW8PI/xg hmTi/e5+VG3aLi7Th2arblX3udfnPAjD18M2YY9+hTO4XiLGZDlXitBo8MbGcH+3be1k7N33f2Z/ /bf/o3V1t2mUqb8PyZ6j9zkcsUGw6fO6L7/B64tt/f7NS0LR8YNuAYqMGGSePXNK3SvoATdvLmkW D4CUxeHcDOf/ONDcoxtHZuXSva5dLqvQSEpGoF05d/Lg4VBCCDer3rPB/kmVmdALwgfHJiUzYlHd vOZWVJVq1XXc4/73pMfwTUjrwR/Ihgiwmg+U0qIrKghXanfDDRZ1ES+xFpwTPAkZ1fG0mWFu9OvB lQCOT585qYxGnKBb9zUYe/HiWXWn2NgoDHz80WVtagK+WOVpxz5CBQdA/HrF+TEEhWKhbmtr6wrE uPVWqvsKzpTdklq2lBNIqw3hJ+wNbJpqDTqfdDbdxYTRKK4Z70EGgKdPnpQjTSyatuGhSeFeuBJt rBets6PLEM7Y26vZz3/2c2fax2P27DMvCdeBkgI2CcGWgOzO1kWV4nfueksec1vkgnk2XC9BjOA1 NTUtDhO+i8i1ELwY7iaIwiBHmgi+ljsSp1RqebfYu6Fk3/DFaNaQsW5v7QkHJUt+7bXXbGV5UxQQ AHsPSBGRiEWKLTXE+4O/BzeKAAl4zrwc3TieR7mCF6FZZ3eHtOc/+MAtrLj2C+eftPHxCdvfrcgc pL+3z/J5CMS4bIMfmu3uFpXNhvPKn5HVPHwdjxgPbfLP+A0+4hVgY7DJ9/d9/QuaabmEMkRVGjEI Ia6sPbDe3k6bPjGg8hXDDrJ69hFBTQqiFWAEb9qgc8bL/UofVln4Klngb5dd/UECloDrQKb40NxU rXbati3r7+vSjdjb29WipOtSY6JbVkE529tHND8gV0obyjXfyYjgr2RyGcl5tABZ45gb+L+TI0uC kw/LpLRKUpFKK0GnLOEaVzDWm5YzSnEZYqKNVfAgRlAgW1Im1dbmUsYN14IPibKVGpP3XnpQpvF3 vIQBFVHuZLOara9v2ejYsK2tLwvjmZmZFY5y5swp+7u/+zt77vknBI5L1jnSae++94bazNV8QRpF rVbKO1AZMgtkjPclHge3iA116+a8PZhfso6cL0j4ZkhWHzDSlMJHkkDtDYhQrxy8IpvOadMjvkew ICtAagWgnOwOFQhAbXAmunyoiQ4OdtnWJvZcDGHv2vhEjwDlb3/7b+W0Q4YCL4rytmzYXKHmCs0h 4/QPzBM6oGrE7dzZJxSE2OzuZLSikgsyqIQF93aUvTF3+Onlj3RvyQIpb95551c6TPh+w8P9wWB0 v62sbNrQYJ8tLmEHlrCd7X17/vkXD5UyoDvMzvTY/h5mI0wCwMkDnIYrdWA9vRySDXGseMk0oqNb ZStyOpBt4fGRuJAlI2NEJ5VmQuhbqRnOiCvxwjWEEAqAv7bmSqtgqDqI8Q7TyzEnvR4ZiI4HspDx /vCfB393zLj14MDHuZjMYr9xGLOu2EP5wq6lE027deey/dW/+67t7u3LN8F1vlzxlEMWT8g0KqgJ py3A4OIf+FzgcU+I3//rdxCwHrrQz0VW7xjxcpKkJAz1amuP2De/dc7+r//zH+3Sxec18JRKZa1Y 2LehITSTCsq64H/oscCvQu6i5gGM1mo4aCz78nJJZSIcGUh5GBmQYWmY1TgtwLEYxq5qMwyP9Nmv 3/25vfELZJIJnN7hYtPKLUYLjizgnrIhZEx4/dMP/0kcoBdffFFlCjNoqEe6kas3AxC3e+KJJ210 eEZ0B9r+eASia43sDuUGWYAlqvbks2fsyvWPpfnEGEl3b4eNTw1KordQ3NZnLSwsKxDAXocbNTjo GSXf40c/+pGoDGfOnrTR0TEN+ZKp0dqXi0/gb0cwpr1OQ4DN19098P+3915Pch1Ymt9J7015Dw/Q AyCbpkltD6e1GsXEatbEvOpx9K5QbEh/zO6DXhV6GWl2taseTc/0sLU7VNOAHh5VhbIob7LSm43f d+6tKoAATYMaoll5GBUgEllp7z33mM9YLOnkdagrupp2ASwOy/Hm7p15bfrA0uG9SGURi7VVLeiz zeVUIfyH//vf29vvvK5qkGoFUC3tVptkHsVu17lsB42KxZC2iSft1JmL4gyennnRUomixaMdPRcz MQbVzPPGxke03dzY3LT783MyJiiMD9n9uXnb2dq1xfsLtr6xrCr452+9q5nb2tq2jbDV229rATI1 ecY+++wTbRE5FmoH7lrOxa1cxp7NdZcwx4g2IvIfRPNsbm5WQom0mXBZxSpIM9870HESEpvTibRa anSxqPLu3rttX13/TC0nyZHtJBdCzDEgs8tCLckGlmS3r1EDF2S/yHpXER7P7g5FonfF10RAHPY5 rgvd1Vq+LHlITjxAk3vnFmhpoTmAQUSsbdXgOTq9in3y+Qf21tsv2sBgXnJBwlEmj8CezDnDFu4h B5tDDNU3Sar/8PGPsCX8ducdvMjuzd6yyy+/JT4beKha1XWmYgmuJk6cdHNI570hLcOJAH+SA0K0 FoH0nIlOeyMtbZEtmXl5mcwcAjUDeRTGzsgWG/0lhuYg1tXCBGaWDKkZUIPNuXnrK8n9khzYrmRz MfvdB3+vqyXbk/Pnn9N9wbNwIt+7d1+zAAEQI7SZIMvZPrGxdDYAb3l9jwAAIABJREFUSaNa37Tt nQ3b3tqx6zc+U8XHSVqtbcsunpOA4ScVHlfz/f3ranOgGVG2s9XjgGdADVdydrYuKRTaGSLc+IWr aadPsYwoqQpYWVuUeB8zFWGGmibLLFD8wASGh6ZUZUKNbGiLBJcMM9OWzd9fsFbHFU2pghwbh3lq Ty0H80bWK8AHQh0vAvAwFKkzpy/Z+//woXSu0Fjn8yHR8lr5PKgUkXChrR0cwAE4YhPjk5LRoS39 8z//c9utbAZc0wUbGhyXgKLrswM0Tql6o52Xfn5nJ6guScJV29tz2WESjiqOSkWKqHwe0LOmZyZV +SH/DM4LMw5AriR2iNtAIWSoUqupXaRd99FEVN/VjRtfCRuHxyV6X4w9eDyOb4bww8MYkNb1fDIO SZNE3RKPhIbSAVpuvG+H5UQPE1aoB4eGG9VWSLUR5UpyNJ5ThoZitsv2u16RsikA5Wod6tGm1aob 9sqVCzYyWlR7GCLRHY3+OJ+H73l+/+EmrG+O556/YP/7//ZX9spLr2tGxCauVvP+uyn1A9fO8h8o MdwGVYGNIrQGKCbMR0gWWUulUDzEw3BaVwUOAGgFzF9IMC7MH7FcZsgq1XXb2qhZbATnFFDs6Hsx /O9pQ9hoVu2NN1+zGzc/tdt3vjSLNCTD+8ln/6DKB0MCFgDABkDKMzehVQMCwcCaK6jkb3d2RJJl OMzVvrrvVz4kOpjJHFQrcq3OZMdsd2/L2p2yLSwgHxPTOpzKkZOLNTInGIsJDjCvGNu+SaxBBPdl gWzP9ne13fT1M5gydLepYkkwSZ1kmtlBH+k5/MB6YLUw2jzQDA8lBaoyTFN92FwQVod1N0J6tKYk BAwymZOxWGE2SSueScc0y9vbA3uHigLbOxDdbUvGC3Z6JmfLC2h+o8eelHEqCeXUzDkBckm6gwNj wmLNTE/qtbO0AXLCic/CZQPJZ0trGwmuCUeXatVPYGZ5fC/lQRD9jAq6cmthC7azt6uLwerqnD5D fjjxeC+QlDF95ULBtpRKiGE6VfPiwurhLJTjLkSlH5mMwqEEv8WFpqSLG8fR7OycqiCkaMB18Rg7 O1T2eet0WPr4BblabT9khIpbkUjLHQeBuq47C5+4jnOObWZiVGF8z1C7Qo9BeKw3byxKQG90pCit qoXFu7a1tS7c3MW337ZyKS2AcShGQIQLrmcxfvyEFTFp56BvDb9sauKSdbAJh+bEYB2UgHwB3bEj Cs0BWzB8+OR8y+zIrNGkzPatGZbnrJfZdpFM2NKRpNyMFfQ36962JXC7TeXUApV1sGP86kPcaLSh VgAFTMw24wm4UlyBH9gnn+6qfAYeQUXGFW927pau6gTKDxzAXI258rseVlMYK+ZQTp1wMupoqmxT nRH7+/f+Rmh6WkJwMMmUM+5rVVeshNbhsABO2JySFtUbOt8uKIdkcNyiSbSwaJW7gQb7eGBN5Yqs VC3MJnhuDDvv3FoQgBWeI2BMTloqLO7HEJ9ZGBeC6em9wJmIrRlJzU9kEPes6LndT6SEEpZbo/vF 4pD0Kj3+kH9K682J0pPqJw7YDHC9sk3INoyqIpdnDgNgNyHqB+qhJNaR8y5hvb2zJyjF6Mi0uKtb W671BQ6PhLyzty7nIRDabHt7kbp9df2GoBRQbWZOTdj0KbbWg6q+eY8g7dlSkqSgWzFPCys/LkSh kQqzIRInFTXzKemL1Wr6Xhjm++yIbqEh3BgXLe4v3N4Abtx58WFDRd3Q909Lg6iLRqJY4d6UDuUJ t+dEs8lSAbclpJQzMpXlo/bk5tX98y+eEZ3m9t3PND8EBjQ5PSCRxPFxaE9H8XTbv5OSsOAhxaJ2 +fLL9rv3v7RT02zLHF4gNEQssBQKfNTkyhGI53ciXFm6mg0wTJQcc8CBg9g8NT1kBxUSUMT2Wy4Y 1m6TYI4EzUJTStpFB4pi5IDsLIJ9wDLqos2AiapUN+Wt6CDMlO1XGqLpkHxoDYAoEPDV4MaxlQO3 JMPOfE66SpyUnBipRNmR9hl4kS37m79F92vLvrr+ua7cbMxoadYeLKk6APhKVUlFRhLnRGD2QnsG EJaWjpmersIM19s9tbgAI5lepEtw/LBC94UAJ8/uTs1evfqOXKe50k+MTWrOAd6Jgx5cEoqYu/tr tvXFyqEUzZGpLJguBxtK0bTbslSyIOUJEgbfW61O6x1wGFUd8H14C8Zw98rVl+3aJx9IimZqctI2 N2pW2U+4miu+kXvAVzrWRRbF2O6iKV5wh5nVdZuYnJGMEYBTtnC0TQOocqTM1jYe6POCfE/rCop/ eGTMLlyasFjCV6W7+w/s7uyXAqlygTg1c96mJk9rARRPJG13b1NbVokzCjIBfMRnOgzUsQpTomk5 7gu5n0SghQ+/bmOdVjKvaj+TKYg/CCGZZEiSYzHCPJALmpYqWXd24vG4wABLYf7n5hERJX0u5YJX tBtaFnShq3Vq2lKHag6hftb9+zdlr1WvYfZicrU6e25Kg/RWqxqYVHgaCKWTj6Sivj/X7yeesHzD wBf90svP21//6u+FazFLydMOgYcEYw+1hc7jc4djF9YXGzwdFyoXJYV0Ki5aSqPVlnzH/YV5qWI2 mszB2pbAv89acuuwaEP+f/kiySQZKJPG9f9se7786lOpJYBlGh1Dy3wu0J2K2+TUqK7uw8NDmgdR dYk/dnpC7wVRuXYrZmdOT9iFcxeCYTVJpxeI/KGT7Qc9V+1Iq66KhrYwZMiHSHaAjOhk1+qYpjpp OZXm82FbiRXVlhJJo+fbSllytd2xF6FA8EcyXA02l4kE8z6ItDFhqhjWI8/D3IlWC6E8t5zClSZj 7/7xf2XXr18XgZaWh5MI4Kg7T3et1ayoPQETRtLQggQqVAoZmqa18WpUNeXSO6a2zIUOG5UDy2ZQ 6QAQuir7Ln6X5Uk+h4W764RFo1kbHUGXrKGkz6zmvfd+Y6dPn3XvwXRerjQkeJ4D3bFqfdfu3MW1 pyiiLtUrsx62iBcujdvrb1xR0mONr4tD2l1q7tyeVftfqdS0YYTTSHUNdYkK1hNJIPVtjgcMj0Xn XkLGd/AzCwg+X5l8UCVHk6IWcZHkGAFhf+3T93V/Ph+qJNpIQKouCwNkYlEJk4teTIqd/ifD8641 7ZNPr1m76yoToekps0DH6/kF99XXXrE33nzHObrdhlpAUhEmx8fNlcOE5Y8ReSaT1o9eYUnstQfR NCbj0t29Nctlh63TTlqMDxRLIxKMtKvBvkVdX1oyKE37q3/3l1ar7drzz1+wF196QUkBY4qRkYzF 4mgwYcXlwn5c9XZ2liW+xonOrIn5CGU+AMZorCqYAOhwNlLnzj1v9fq0ev8rl18UnudXv/qVvfPW L+z5iy9pE7SwNC/TTd7JZG5cA2bK/0xq2AYHht3pF1frduPQVFbecj02Uhx4KVtdW9Gcbn5u2VLp nOZHnUREJ/I//7N/Zl9++ZmtPqhZtxdIzPaiWih0OrtqU2nJIIoLsBhxnSyHBozbL/94XFd1ZF0e 7K64RT28yULRBgdGhYkiQX3+xVd289YXwhZBemX2AkmW55sYn7G58pLaJtrsq5ff1vMxuO517qhF k4xvFPFAFDC6almBhsS0CgcgiR5911p12rP9wDV51659jNRPTZy20dExbQmBGfAYXjHFdWGp1pC9 bCv5YXIAaffdd3+hBB6Pdax6AP7uQAuMlZUFi8ZxRH5g/82fvGFnzo4K+BiqwLLsgNtqvbxNTkD3 8WMxlx2ysdFBe/ONq8GJHLF/+2/+V2EHqUKHh8asWBjWit/5ilE9FlVKNsOWLnCskRNNROwAKENq H9nASsHCXaxB1udyLwfyRo4LBHTLsQO7AWwXywzI1kh8k3z29nZtafWB/o1jmPb4z/7sT6xYzKll HZBSBs8R0OBq7oNQKGBo6u14tOd2fKH8EYla5+EzXFU9UwmLUEkaMZucHLX9gw2XOW5zlcWzrGOR Hlgqx1dFAaoF2tSJWNf+6I9+br/74LdyS9nZW5H+OpIa9xdv2tTMoN26Dfp4Uwe+O8tylZ20t955 0QYG8BmEHAtSetc+/OBju3HrmjBEPO/UzLA1mqzHS5qJffgRGkp7dv/+og4YMDl/8Rd/YcMjZbWV t27ek7zy+OhZu3Thqg2UJjVg5qrLQR1Ra+HyOazgae1qBwdqwc6eeU6Km9OTY3bnLvInYJeqtr21 qzkGFZtkQBou/cL8gtYqEs1qHgLlgyssRGopVm7t2sL9FdFaGFxPTba0ReNkCfXEagdriALJ1hzp GyolKg48ARcXl2z3V8zqBjQDZOOHx+Ta6q4NlMctFqlYPFqxYgHzVzh2SO4wJ/Mqj1mKQKuxlDS0 aOf4zvAFpB1iQUC19tprr2nQ/dmnX+iEZSDdi9Ss3Q3oQsW0NTchdm/p897d2xeUYWx8QPbx7VZV Vm1I8pAU2YKdOTdmr772skWibSsU49Zqt+TE7GwFVEEAbaZ1ARJUM3Ryirn3ANAGKmWqpP/pX/8P dvPGffvqy1s2Ow9kYkqVIBg1eJXRmFuitds+pwsrFhk+RYFMpKzFUqTlbTIjBbTgGGFAJnbWAsuU hHB6KN0yXoA2tr29bn/7m/9LIwoq13a7qTnV+fNn7U//2Ts2OlaSK5NTyYI5If0JmMI0HD8WM/56 tBXHml7+Abw+R+4T4SD/uFvSszrT+pETFq4erNkTwvpMTo3Y8tK6rW/NWzZbts2dHVVGbigZ0Uwm lyxKVaDXweUmaelMWQfv7Tu3rNE0faGVg23hgs6fn7YrV/7UqtXGIZ+OLSJtHZWbTFBTPovACOGf /8tf6uq4v9+09fUNVRoWwWB0RcnuX/yLP9MVi2E2s4yZU5xcfiBw0oG5+erLWfvd+595m6INpis+ +CYRvlxcJzYnNCcthxuVTmWvZefOvqST6c//1X+vSnH+/h2ZboKn6nYSakFchM2sFq1piE9id2ni EVt7sKkDj5aD90R7M3tvWZsuWkSuuP/0v37Nxn6GYsKyfm9u/r79f+9/6Dr3w4Oasb169Q0dtKDy kZEGgoCcztjoKbt8+TUlWobSnMSXX30N5I51e2lrSik2Yql0xg5qHYslMvCcLBFJWCIWs1//+m90 ctOKIVEDWRgQLCh0qErouOMMTUXBhpMTaXPHHWN63bbNzs8JyAhJd2g4L4dnBv+iXA2ypEirjS2X C5pR0d4TvCfa3TDEWjgWDxcVofOT/5APXnzplJ07d0oOP3NzizZ3/7pOdvSvWq3koc0b0UOeWm7l 6KtjItFyu7tOx+pNDD/QqXeNdqQs2bxyH47PkOvKTIvfHRrJ2p/+d//EvSSjdAnAUXKCsEjZHYWF 6OPIe5SToaPzt2NQQ8rXo/EsVls/eoXl9kSshZN2+syUymdJ1O6CD/IVLRUDW6KV1aqQ1zD9Yymq gT0bGyvY2XNnhDPh7xcvnrPX37hq4+Njmqtw1WSQySzM19E+z0KmhWE2BhAKfTlxtUTlAdb+kwKW UpaTAPhd0MncrV5H5C1A3AdfvrsbehWojaYFWt0YI0SP7LtAnFO287vdHlfnqB1UewJ8vnr1demd Ly+v2f2FWxL6TyW9zWKOAYiPQTvvi7kHMs4DGVDiFW2iwI2R/Ktb+9KhQgEUCWk+TyAdaFrBJGBw DaE5m8nZz157RxQd5lxsGrHq2t+DqA1koi6eJt8JaqAQZUkQKEbwXt9883Ur0UoHzAN4jHJWibb1 ubsGvbd+nKgwBxjux2L+PrT5iiUFKEb+GmxQt+fGFJygvQggR3f1KRYK9vLl86qOIX+DjYOk/Mrl Sxogs7VFrUIssMA13K3iHnfUPXpjOMh5FGHurz8KXzRjNjZR1ngAbai93T17sLFnmcyA1RrATKie WQz5KdVgzlVFf612KD3t2msM2N0mTheeuhPRuWBMzbA9RiuroM8JLz8+R2n0815ivmzhWNN/mgnG jr3ukI8YrNifJF3zBxw/esLiC4b8Ct9wbGzQhocH5czi1tUx9fRUViSs+/NoQO0aSz2gCMwNmCOh zMDJeu78KTmvTE+P6bFjcpcNtNKlB0I4niu8zJBaXDL2yDWXg5zKy0txs3JStiEKHygHRpRyaXGq AuP8SJCQXEvLVVedVhTMNrrwIVvWbjuYFUxXL1qRK8zW9rpE40huy8v33UkmHbVGnVmVb9lIrrRW bJRod3gdtHgAG0lqVKOcILQOUF+AbeAsJN2nFo4nDWGCnAQMpQnycMKGBnKa8YDlGRyYsGp1TwsH qkT+n8+2VC7a7Nwduci46e2oNdslW1vviAwtVHYc2AkzOizK0Jpq2shQSQsO5FtwYq7WMoEekzsj 0X4DASHpcGEpD2bswqUZSQTxHbkFXFt8CU5sT0Bxe+HFC3bmHAN3ZnYhOf5I+5y5kLc5R+q3fkI/ ehK3HyMtcHQ/HRuBl2Y+n7BLz03ZuQvOP+S7/Pyzm2Jm7OxQ1XaO2cD5nJXPjmE/F8xkYHfFa5JK SbRjl0bhLMLzy2pxE7reHK94YlLyhAcYvlSOWl5c9huoMUeMksfH8ST3hxM/esJy7A0nP9QDUOC0 dWkrlpx6wtVWB2OP+05bpzNry0tLGrxyMDP3oRVAquTc+dNWCHBWVAzej/vGJCxv3SHGuY2yG5I2 tlcDtOxUCqE4oCOI3V5KppWBZbmupHKnYZjsSTF01eWAc7PY8PlcIE7msdrchNsX19PO5lFzBLCY l2pE5cAlYwCPxhNdGyiVnK7RQ35nx1ptBvxQY+pKxKHRJgc8rwcgJwqubIQYPq8IasFgOm0727va pC0uBXI+Bw27fPnnlsuGOmOIupU019vaRtq4aB9fW5Cs9IsvOBLaXZDBK/WkKX/uwguqbPcrvl1y 7XDIyFkrlooCy/L9MC/CJYfXjFRJoQhIN26b67wfs3iyK1zSzMyEnT4zIYeWMJlIcjuQ1aGF0v0T cSunkQH2i49YBeDd9H05rgnqzFE8yR0mqEgeopgc3Q+uYVu4JriDbFLdEj5f4NRJ2h/98eu2t8tW defwIuvJxh2OOEZ9u8ePvy7+OVQ/6PYaFj3kBfpzu4tz02WeA0ussHKzcN4miM83va/j8Wjl+PVK 8g8lfvSEFZ7cnCzhSpWDTsTihutieUuWsPJA2l6+fFHDV2ZMnXZNUALMSQcHk/oukU5hbQuGJtQw Px588VG9bf/SOBA9oflVVLaKGFlo4OiGEn5fVCIelvQQ2M/QgsJg0o+kkLfHQQYhWy7REV81+22B P5xIKw2LN/1KCgxgb39TcwmIvpNNWh+gA/VDORnUR/FqZLDs1IuY1WsVlz5B4qRd9ySYo9rp2oP1 +xruMxRngZHJpW1oxLW++Ywlqld/YPEkJxrzxJ61txKHsjfMvKDrcJgwbCZRjQxPB9zDAysX2zJJ 1YYQlyQsoAJApc8Kk2aINNZdrhppYS4GtPof/O5DbScnxs5ogxpPdEQZicUnlcxpn5jtaMXONxZ1 o4WQnsLnr/lQYAoazmGC2iOIUK3zSSdkSDg+cjp+KAKmCs/JdtXDkyhWbKpqUwA2Abii8RWOBLgg eJILL5ahLJAbSIQu4Q6P6MqV+YgOowVG/Gjw7bcHlWOAg+syduD31P8ee7uPfY+P/v+3ilU9s/Gj JywoJa6N7Rym4+1bCGIL/52rUi4ft+dfmLGz5yaF1GZbky/4Sc+2jbYpkfQ1O8mCzRq5hwOECTkV nIcfnJwER2A5r4RUDR1+mc5fdPQxxNIAjdzldfqMQUBCOIzWk3dhWImR9NzB2rmQId5GtjV6P845 Q0MLyMP16zc1dN3axvCiY5WDiobNUEzAZlEVccKoigvMJORnx1yFK38iIp4cwFZAqFRj6XRORqqA Xrv7ZnfvOfaLZDI/v2C3716Xqqh0o3hd5ioWuWxecxSSC1UcUIjdHcxQ/fnRdcpmU5Yt5FU5yBMx 4HDKs28DeMGBJeOg0/ENTMrNhhkUW1IUOAkUIHZ2WSDg9gxvDvgDLbVXo9puidQbkngD41fke2i9 /Kg5BEwG3+L3sEL/BvKugMlO5wqr9VDPidZfChhyZvbqOUgx+js0LTB6HDu8vqMLp8t4hxdnzWeD LR7Hq+MMg/fScyrW8RlbRMeN94bh3PT7x/fhCT5b8aMnLF2Fg+bcuVDenh1frXJCEKH7MRgfwJO+ unUpGYaa2Tys9bTmFwAzKc/db8+H+zykl9kBmx2UfZTk4v9PMeT2SUfzg5AJH2pn84dajdBbTax4 qqUjM0tvAwPft2hU9u4YfHIyI2/Mn0hEq/XsujXZ4BDiglmbnkJh86KSEfphy4sLlskmhFZe31iR XRrEWTdu7QqJTeUlcq+ckntCjVNtceLze0Ak+KwcdMqcNmZnz03LcGBq+rQ8+MIkAsgRWsnU1Gkl jd/+9h/0egExgjdjI0aLhwLGysquJTM4vmAg698THM7JiaybiKI3P5ITZISKjHkOmK1GsmWNREvJ PD+TlmQ2qhTzCze88hRilGRBle0yvOlkJpgtOjTF22LcWoLKp+cKsf4d+GbxMFl9raA4Nvc5Ppj+ 2r9zsQz/nWPMKyc54bDpjZM0mWF2XHwSPquEIB0vJ+XTdjhgDyuio+NI6geBqoLeMknaXXWDY9/H JYfz1gjHI8fmI0oJX8tZ3Wf1dH/q+NHfQYgBCec/Ye8f2iNx1fFNm9vQMx8h6PGpmjhwOFH4UdIR d8EfT5wyZJSPyipFCC8JqyC/KjoGJTwIwoPIRcp8FuInBNrentDAHHGl9+rMb5MLbg9UugNdITu7 0WlVVcjQEPriOeGAEMhLJgoCSmJdJuKqii8/Ibi6X3npDW0DF5dn7csvQWBXbGJ8QiRaXu/nn38q rhxQDpIgWCSgBT6TwpChK8syEg0VKVtAcFB85mhYfXXjpu3vVcQnxHptcHBEcAPmW599+qmG6/Ah +R2SFjI7IMnBeZFw0oESKy1pLlLwlju44PAe5ud2XOU1U1IC2tk+CBRfqT56Sua5Alsy5miuTSUn YxgBXWSbS0GF5fATLg6ybtfn5KoXjtzn+IHWcvQ9Hxp1PqqL9z0CtVpVWGIrUPWxVPHkES5TeALN zILjxI+fowrqSAXh6HU8NKl45PWF/8b78zgiJnt42xleED2+TcXzD6uSemYTFgfboxCQhzYkj8GH EJCOH/0iwgF68BfT+OkxX9SRv5u7Hx/FsccKDkjfMgXPeeyA1N+TnhhwsyHJyhOukNF2rxNp2kG9 ZUurS0oup85eCN6Lm2ZyctIGMhJBIwrKEP0qXrzWZfAasUgMi3S4cAkbHcV5uC2t8e2duiVS2zoh nn8OVHZb2KDllVlLZ3DAcRE/VzuNCJ/l21JkTUqqhpoNrOwH8em1Xt6NOOCnoUgwd2/FstmiXbqI cSlcyIS2gyTLTz65ppYPyASF5v7clqrbyclT8kpk1oX5xC5bM0CMyC43gVH44Dib96RC4SFFy2xR 7SDpPZMt6/vgQtVpty0nff3jx4VDT46foBConxQPjRwjT2gDH9tRHf0iF5Xjt+u4OHZIui/f44+x o8Rz7Eke83w6HB9/mH+jp1/ke0nA/DTiR09Y3z+e9MX8vl/Y033R4RA1bCNpz3CxYY1f2fMtEZUh PDKG8N6GcmmmrfSW4OggDluUQDUy0rWpqRGrHDjNAjI17R2A2eeeO++mEYmSrW+s2fLqrOZNGK2i m87vc7JF4VAGstD8OCp+x65efU2VwsLyvAblgCDhzq092LZGAwcYPPVKIk9jqMDsCeUGKYoWsjJz YF72wYfvW6EABSkteMnu7oGNV6Y04wJZTkcjzJnmT125A3ubj64WCZqTFY0UEOi0pBBHA/bDQ/io H/qEfHY0nvrxk05Yz1h0vcqiDQvb0Mr+gaqRZjNmExNTmtswP2oLNBjYjX9HJPFf//V7tl/ZVnJi TgVvkMWCP1fTtirrkg+p1yvaHtKiQmDu9PBOdPceYcGizFjce45ZVKHg2uLSTbJYkCjcqGNsrCRN 81KxpJYI2s+dO7e1zeP5UcJw15o70nqfmb4k/fVVW5UL80rngVQbNF/sOjGYCM0qaGPgsVUOmpZM udRNuERwn8Cw3Tre8jwa/YRyEqOfsJ4ywo2P5Gm1vk4Emt5ZtTSyHYsl2O67iUWAw/puNK2eEhVq kBi/etvZs//8D+/ZVzc+0jzn9Ayt4p5Iv3ScgmVoQIyoX0sJU+joiC81AMOiVgqBFjVWcE0bu9sW j+1p0I46BFQh5oNwMEGp37x5QwnmZz97VTMsjEJpERm8z0yfkZYYg3HQ88AoHIbic8d8NiuiOdUX yxBMSgGOuntNyqqI+aFiijBhIDsTVpy832dZTK4f//jRT1g/QGggGiDlQwMCWsF0ciDwxQu3QEeD jcO/f0vIIDXnvDSMPz3ppKzZdqMGkgFCg3AKqbCEMJdaACa0STEFnIzsg2GSEKj3v/u7v7VctmzP v/CyZJEZbiM/zPCbNnB5yd2Wqaqee+6SnKuRZn7vvfe0RAAGQRKdmTqnzSyIdYkT5ouHuuQkoA8/ /lDbNP4O9YdkRqIlkfOck1PY1JOsHAUeziwFFYn84xoc9OPZj37CesoIN2I9fgSfYBCMhEtgbYXt FFsvqisBBOGABW3hd0hYuOqwlUP0De0nt2vK2s1bq7azsymOHW47iVTcCtmyNZoO/XCtJsxcs26o EaMlA71esZGRUdvc2Hdn30ZLjtWnZk7LGxLH5cWFZf0Oj3P11SvCR33xxWdShGUG9u677wrZff/+ shVfKIqmgrJBMuuKGCRIjCTW1vKCoPA72F/JB7FaVbUVPj5uzQAzkRdCT31oKKVWNQLe7BCp3k9a /fDoJ6ynDlcoEII9aPO8BcPWHRiEgx/dHOBo3S1cdYAH+6aQEUZ1T8awJCygBQy8EadD0QGkNfzB WBRjh2CF3sNpm80l6HhmSD1086zbIbHgR1hV8pKwYDRlgwP85AdQAAAcSUlEQVSAQIsyWqCy4nbE 8ajKqLJu3PzSzpw5JT8/3tvde3dsc2PLrl593bXHuy3L5bMBTgoZ6rzka0hIV157NdChYnMakbsQ NvKh4Nz9xXlBMlqt5iFIU0wszdt/X2BkP36q0U9YTxkkBVxwQjBqCFjkpG9IWzyUn7VjiGYAj2CJ IMgef7RjLPuAX0ZCoKIKZzkgyEMwJeoW05NTdufuTdvaXrXd3YrECEkqQ4MQkkGn71uyWBDC3/Wy YraxsSm3bTaX6GWNjk5olrW0tKy51KVLl2x6esp14uMRO3/+vGg1rqSxZbs7kH1d12p60rXpSTTM 0ni9WLRTVfG6HSHuP1SaeEmSiICLoDb6s5+9YvP371tlf8OSVScL81YhlveTVT8ejX7CespwrqFH WEGF7ibwz9wr7giMGpKnSUqoJEsFMgYdxVf54cyLoXc40CdJAczUZCqWlKsLNu2vvHxFJGyMIMBG tVpRy+eGRPe5cP4VGxkeFd4L4Ofc/F0pZXI/7LUwSj139nnhp5aXHtj83IKe/+LFixLsw6eQ98Oc DBuqa9c+tampCSUpEhTYspWVFRssTwjDhWM0r71UckLyoU64VEjR0q8HUr84QEMp6kid4dNPr0uQ L5lA294pTYRAv5JS6VdY/TiKfsL6kSNfIGlFrNlmKI1ll7v7IDWCzdXO1qoG5wy4cdtB8RStK4b8 H3zwkZULw7a5uWeZdNHGxyYslU7aveasHezjtLEv0nM2PWCxSFbbwfW1HdFZ0MnCJejGzbui1pCk SIJIJlOhHVm+g7hvBpu/mI2OumqpbKq2921hYckmJ3CdKSrJ4qyN7lVoBpoQ8t0dsKmwJIedT9jS 0gP7m1//zl656uBUEtZeZU1toQ7MwEXmGdSQ68ePGP2E9dQRtC5fo38cwum/Mba30S03S6R6aodI EIRvFnuCADCYnp6eUUtGK1it1pRggAZMz5y1kdFJaU6RNCCTY4derVHVNOzB6pL0w7O5spVKQ3bm bFdQib19FC5RVd0WyJNKioSIGqtMFmTS6bxIEg9W7SPDY3pNtHrMwEqFln326XUbLLetnacqchoV LARXbTBb3/YW1RVfHat25+598RPfePNVi8ZjUpdNJrtWm9t+OGEFhOZ+9COMfsL6R4+Hp+wDA0nZ lKGsgF06rSJtnLdRbYMbjholrSByLCQsQKJosFP1QFQWH9Nqh6atWLRPjE/LgoqqaWAgbbt7FcEf UBBdWlqwv/zL/1OP+fbP/4mVy8PaahJNJGYCoCfJhZaV+2GgCvKddg5eHW1gNJcOTCdcBobZE/6H tMlUZfgJJrMuaFcqpW1lZcOuXftICYzFAZUa6wfUZuPxtqsuHGqiP6qk2Y9+9BPW04eG448jgoUs +8eRx8A/+Kp+e7vuapSpqCWiacEDgCAhF8Os6D/99tcyasBYY35+KWjJSEJD9pvfvGcXzr3k1JuW a8QLXNpzg4HhIXBaFdvbdU9GEk+pnLOtrQ1RbYaHRjWLQgGBRAQ5GiiGa20FCH62nY2WlEoZzDu5 mTlU1w6qVHL7kjVGBQJ1ATBYm5suMQMc4+7crMCmoPJ5LAwU3J8RfbOiVauutIFsjLeggZmCnvtb CHb9OHHRr7B+iFACOsZ2/c7BvCoipHcshp/eljZ1K8sPpKdO1VIupmXUwPZO/LtETJUYVvXQfUhu 2WzOkp2YkOS9HtWOyyHv77vNk6PHE+IYzs7eto8++khOOT6AvygIhGuBudAcuKh2m+qqHahZgOEC 3In5Jo4/7jUIgBWZZ0xK8YF0W/c94bJIxiMjQ/ZHv/yF3b59Ty3e9PSke/ahxmEd21jfsnxhwOoN 5FlCaSFB9QN36B/k2+nHTyj6Cev/l+h+xyTncsL7Bzu2u7cuNyDmQ1euXLFCYUBaYStL8/LsAwAK NopujWSExPBLL72kTZ34gFGSS/tQr50fEgoIdE58nJCxbgdlTnV19epV2ZLx++NjzJFcT9wrq+Dg iMdFpgYIi0sQ8y0qwJbmWnFVhtl8xPYqK3ZQ21DVxfyqUBrQFhJfxo2Nbbt08ZzVah1bX9uS4wtJ FDxYMpk91D9zBQvfjOrj0es4MvR88mfcbxdPUvQT1tNGqK6g/z+6OWpNEXoBNXQRAUR2ORLejqFl VLe3Oj178GDJFhbn1AaePn1OCHTaIRxqcJQBcpCbLGmQvfYAf76C5XIJtV8rqwsyMQhdaUJku6Rl Om0rlTKqyOACfvb5NWmtK/G1oOMUbXFhTUP3YtE96gBwhq0ZlV8imdOcCqgEGlnOlQSq0JTAIMmG zSUyNsgpkwwHymPaPOLOg9Dg1taBkh8u3DwWCqZ6/ISDW5PxlHVjXUSoA8G6I4jIs2g11Y8fL/oJ 62kjitJlR3K9tF6V3YZdfvkV++yz31kkmrRivmCpTNoO9iu6bzqVsN29PSvmcZNBsK4p/z+G4agi nDt1TokBY4J8Oq/B+pkzF2x+flZgTIwaaMcwaL18+bL9h//4VzY8UrK1tQ1ZnFf2sViPyX2o2apa p1uTQsLc3JrfPjShbV+93rZSYcx2cg3p4zNUV4uHhlXKKUWNposrwo2E7+eAzqbAo2DDAKmeO/OS jYwO2cL9JW0JcxkcjvDNi1q307ZYL24pVFgxcqi3lOBScfcLRHsGDc5GtWqJZFeqomi3oxAs1kDg +fj4iqpfWZ3E6Cespw4n6DJwphgolQoyxSC5cHLScsXiHUtm3OgBT8I8HL9sR1u/re09Gx0b0f03 1nfswYN1YaGYTwEFIFlAQKa6cgnpriAB/B0FU2APzIoYxks2udWTy/PIyIDmXlRd0GR4LCoc4Am8 Vgw10GRHJnljY80qB5uWzgxbMoU7TU3+e9lcQckpk0lYoZixg+quIBZUVFSBoN95fd22G+E66BUF CJeFIfEhuQw8Ip1wtxjaTRySvALsWDqZsmTCnZBBymfzXmEB9Wi1nz3n4X78uNFPWE8Vri3O4Llr HakWZHMRO31m3JrNYbUzV1696CcfgqIyFz2S7p2b3bC/+9uP7NTMeSWScmlPxGCSVyQWE3EYsjRY KE5okgcJSpu6SNIy2YK2emzxJsbH1YZFIxErFFJyHKKKYv4EPYdEMTQ05AlGuvY92dLHEnXrRvas 3kpatRHoY8Ui1o3UrdHqWGkgaV9+eds+/PBjO3v2rBLVxUtnhBlD8A9zCoQDaU8lByxpGxITwNG0 LLHQ76rVm9oEknz5N8kOxyO2s7clmIZFWxaJYVJKoupaKo6O16NT935VddKjn7CeOmHhyIuBBbZU NaHHkUgGcR46oUDBkZOxLMH8N8FeLS8v2OTktMjHbN7GxydFfSExsU0DzEnSY0YF6h04Aoh3Kinm SAzAae8YrEMBCuk8bBL393G6yQTgS1dtYGZEZSMViVbd5uZv2V5l2XZ2121nd806t9wIlMQGcTtM RCRYWsznnruo4btwYXG0rwK7Mkw45PQCd5IBOq+Fz6NqlQPckdOWK7hwX63es729Hds/2Hfy8/ys kveFi2ftjTcv26nT4zKIBQCLZvyRBHE/WfWjn7B+kIhB7o2b+HGykQ904Bl6H/noubccSUv/RXsa hCfieVVLjca+KivaLVojbfSsrYoKHazTp0/ZjRs3NTtiSE71ApId2ZYHaytqE8Fe4XTTbJqS2PBw 2Q4OmrKQx3nnyImoIwei5eUlGx3P2c4uiPttJUoSA0Nxqjg5TltULWpuomCnT10Uyr6Fe7UwWcAf mqqUqAZJVPghUhnV6g3N30hGm9sbdm8OIw5oRUmbnBq1K69esImJgkXsLdvd9aSfSvm28+AA41iE /XwR0I9+hNGvsJ4qjlmasw+U+eXRVkvSv0gVtxk2gxiPH1PRdMzTxsaOjQydcw2tVFKtVtg6Ie2C 4qdkiYcHlLgQ0QPoWU4mVXUxUIdYXKtVrVwa1Hyq3XK3aSojtntUSeins+EjmbCpYyBP0gSUatfa EvbzBBXTto+fUrFsw8OjmqstLqxI/hglVag0buxalwEuslVURSSvRnPfWp2Ia9DXsCZ7YLlc2kbH izY4NK0ZX6GQs1w+o48OnfpCMS69Lg8SXkbu3K12S4TpfnXVjzD6CeupAxPPqIi9h3biQbgLMAoE /HhyC2VooLfksgVbamwdAkjZssHz63TSOqHX19ck8bK4uKgExG0koEgUgnHFIngvymSiZ7XqjjWb ZRlbMPjOpBPWajRtd2fbSsWilUtF69GPMhuibRPkome723u2t7Nv1UrNeu2oFUtlGx0alxoo+u41 hundmJUKZRsoDWojyn3dVitmtdq2dast29lZ1W21Wkm3Z9JJGxgYtHffvaJkxPzu0G1NOd1740zW byTZOU6sJ+nkBJtEueR8U/SF/U5a9BPWU4UnIVDaUhrFbzXikjH8ncpD9BL4gQJfubGmPBeh4mC9 TsXTqYv0S3JjNmSWsHKZEz9hlcq+zc3fCyor7o/RRMe2d1dtb3/bDiobtrK6aOvrD2xza00JK50q WqFQluQLA/lLly5oWA5VplODJF3SfIi28MuvPtfvukFoT3LMU9Pjqvj2wIGVira3v2X7lS1rNCsi PVsEGk/T6s26rW3My6x1cemuqsN2Z8yyuaJNTA3a9HT5CKIm41rCjUVpl/0zS2muxk8+hzSNWQcH ZDmMwhGK/n7A3H78JKOfsH6AOJLy9ThOKWGOAymZhORmm7Q4fhYzd6L64oQvlaleXCeK1mxn50Bz qmIxKqLw9eufy/VmZHTAqvVN++1/+nv7n/+X/9GqB/tKZIj33bk9p9atUm1IKrnXjdnFi5c0tK/V 9zXzwqILpdJOp2HReMfm5m/b7u6mkiNegxap2X9+/9d6rfAVa/dqMlqlfb119yNtGQGmuohg1F58 +bylUmP287evaBgvJYcUg3fHUrmTcchacvE+HXgqt6S7qs/EPxdPREAuiEgIwvqac3P4WGH0B/In JfoJ64eIxzkLBycXigScXOCgCNrG0JCVLVmhmNNGDUfmrc1dq+wzj2o4Hy/S1eB8bWNJw+iLl07b 4tKs1epp++U/fcuyOdDqBeGaSuVhm5gctps37tnNG3ctnyvYc5desYNKVdACqr5cNCWIBRir8mDO XnnlBcvmY3b//qy74NR2bXJqxK5c+bmdPo3GO9vGlrBkDPupwBz/NaJBPJtDXK41bBcH0WWgw/d/ 3PD461WRJ6uH4zGJ57FQrH6FdVKjn7CeOkI9lOhjAaVt0N6xqBWKWYtLDA/wpysxMDC/ceO25XMu qtfrAuYsWak4JIgCJz+zKqoaXJ2T8x2RjNPZIXv1tXet3jywfDZjnSZbvYQ2daNjJVtdTdv62opd +3Rf1lvAH0JiM1tMhuX4FFIh3bp7R9s5kh0V0sWLZ+3MuQklKxJnvpiys9lJO3dhShvPUMVBbzly /BBydQq3UMdoI3LMrfl4RI/NnhBvP/ZP3zSy6jN0+tFPWE8boQ3V424nwEUxs+kcCfMF5F4CXBQz q0w6L0fnXLYobapkIi6SMxinam3H3vz5FfvV//N/2MrqnL351hWbnhmzcjkvLBVUGeZRjoeK2vjE kJXLb9vc3ILNzS5ZqTjocjVxxP+Scl6uVHYERcjnM/bGWy9J4I/N3UPvQK+zbY0G8AI0rUgwLqgn MGsP3ayHfQND2ASmHGxNnxzfA1f1RCv5fpV1EqNfYf0g0XviCZRMINDXEn6JuRCQBE7y/b26bW3u 24XzL1ohNyyVg0gkodkOVvFAERhutzstza6QZkmlu/bWz98QpYahNI9NQhR8oosnYUOaV8ysnn/+ rNq6VDKAXRxDXABaJULkvQCuHZYFLt4HBgpeISDR4wTk0G8QiATPEz3EmD36aXiVRRyRl7/PnOnb tn/H/60/vzpJ0U9YTx3HW5zjwW2RAEuUVEIKWyCMS5cW16VXNTY6Y7FoVmoHAmHG2NaxCYxaOpMW ZOL99/9fyxcTdum5i2oPVXsFdjuJmBOW8fGLRDxp9Xp1aVwBGUAnULbvHaADnqCgv/imjgrOEx4J CJt7zdciiQClz5zNeYyhm3WYmHtBheXzOF4zk/VuoNvu4FQdYIFr0LfGQ7OuRw1UH5eU+onqJEY/ YT1VfPsJVUOJoJhR9YIwX6vZEyn5weqW5TKDlk6W5A3otlZezYDZAvkNKBNOYSIZkWPN1PRoYCPG PMrPcFDsBDOpWAyNqqMeimF+BAg+A3DdSQ6lQXRkM5ZKxQ7bVULJpnuUlKi0qKpUeQW38xr4YbN3 1OKC3+f276m697VEdXyoxXt75PEeuzHsx0mJfsJ62njSCRTcXiwUrds2+/STW/bxx9cslcxZsTAk Os74xPhhYhMQM54SdgtkPBvETq9qn3/xob340nm7fPm8noPqiBwBgBOAZjLpKhGG75/Q4U0lEW3t YrSMVD+ANjEEQzcL+hA9oXMMSWgPi+YduVKHcsXhv1FpEeH9uZ/PsEIbs+/uaP3d4nHy0sc+337S OnHRT1i97whTCG8/DG9ZuBtKDF2DbByz7d0tIcIhFyKS9/FHt+zDD65puH75lbdlu9VsMFPKaHvX i/Ss1WtYu9uzocG0ra4eaNuHbvt+ZUN66HAOmTsBY2jUm2rDqIIiPYZQx15eJBZQWcKg4nnkLURi QrkDTg3v8/C/fz0LHE9c+o1HH/Qbfve7R/T73d5PVicy+gnrSSfB8Sv51+LhGQvtXjqTsEarYsUi cx7avpatLm/bxx99bstLGKHm7M7tWSvkh6xcGrKBctl60ZZ1Iw3BDLKZstXqgC2h2jCYNyWu1VvL drE0fQhGdTUE2saEtTRD+n0kWJ7V+c+z+rr68axEP2E9Fj19bOD7WGrI0f0ZiscTZDV3f0klSFhm t27dsuXFbXvnnXdsf6+mFm9vr2KbGyuiyADGhBdYHCzozytXrloykbUkKPTWge3W6pbOourQtvGJ EbnSHK92SGhADr6esPrRj59u9BPW17BUYUn1KEzh8ajsnjEcN2t3m9rg1ZEWrjftyy9uWrMes04r HTgqD4nqgtZUp92VWWkk1rZIvCdd9gsXzll6KGXjE2VrNJt2996sRfZadvHSWZuZGfNX1GtLI57t HC3mo61aP/rxU48TnrAet5n6LnEcLNmRFAoaWOzJUP2cn12w6kHHivlhbQMjkV1bXVmXLjrzp0w2 LQOIwcGiXfvkYxss5+zUzJg4e7duL1qzVbNafdfGxgft4qVTGrQ36i4Hk0oebeZwrulHP05S9I/4 J6KmvwWceOhQH1FFlE6lrdtDtiVhiwvrNjl+3gbK41YqDNv29q5tbq5btbpvu639QEcKLauUHHMm p1BHiNhBdccWlu7Y+Piovfray3b+wsihFAtI9pBkTWVFzuobyvTjpMUJT1i/hwNL7+tJy3FMceW9 zY2q7W637dyZU0Kw7+4eWCY1aDPTJbMI9JmWLOO3tjckcIdP3+Lifft3//4vbXx8TJy+55+/YKNj A1Y5aFghn9KWEI0okiMochIWcjBs6/pJqx8nKU54wnpMfBsw8RHIgyPZE7a1tWeDA0Wbvbdo7VZE 0i6A0RmkFwpYgcXsoFq1ZCphY2PjNjhUtmbrwE6fHbf7C3f1WH/y3/7SisWYBO+Y9Xe7KaHfUXpI Jct6WtyVmYlBtRHdph/9OEFx4hOWSxY7+BIaCyBLUVlk6NDWNo4EAl1GCgp2hAynyknEY7Zf2ZdA 3vzctn1y7Qu7euUtIcQRqUMJ4eDAOXrh88EV5DGTybgV8oPWaR/YzZs3bWV50QbKp21rq2JDQ3km YhZDl6o8oN8lP5GsiCdAofrRj590nPiExYnfbNakhc5APBr1LRyKBNI/7zT0d0eOO1C0zgA8kpBw XqfXtkK+pGT3xRdf2cTEhI2OYiYaswerCOOlpIlVGkhYp5Owvf0d29zasHrjwHrWsEzaNdFHx4bt 888/scrBtl258rKyU61ak/jfUTwiaNePfpywOOEJqxsoE0BZicr8Aa0qefNFei7dIlmVrnV6LWth QYgXXyrl0sdw+Rot6Zc3Gmb37t2z11/7hbVaNWGrNrfRZK9LhZMfHhN5F0wj4AomklFrthq2vrYt QwnUQ7HAovoCtxUK/T1u1gbXmOh3hf04SXHCE5a3f7R0EI7zuaKSAnrlJKl0Omm7e1uqcvAb1Fyp E5GV/PzcsizmT589JUgDVJt0qiBd853dbVtdXZSa6ODwgNXraKvjNRiz8kDBBofGrFBMq0KLdHt2 584dK5eLFo8/Z8WBvFpF7L54rK9btPejHyc3TnzCokbJ5fK2s71nt5dnJaY3NTWmRFavta1UHJZB gsUSShm3bs3bRx99Yq1mxKanZuzOrRVxAgv5YTtz6jk3Uk01JR08MjphV66ek6kptvQknXw+a/l8 8tBBJtI1K5evWiJ1vFbqKkkCf0gmA4j78eiXVf04oXHCE1bU1h5s2Pz8gnTQ9/YObGb6rHXacZuZ GbJ0Km7VCgOjuN28Pmsff/SpdTsxu3TxqhIZ5qOJREmD9HgsZ0ODI1avNSydItk0ZC5BVVYspaxQ PCIlM9hHOllD/S6SMHH/PdyirWPNRtNSaXdpfnL0K69+nLw44QnLZA//6Sc3rFHv2gvPX7ZUsmC/ +o+/0QwKF5nzF87Z3Tv3NIuanjpvQwOT1qib7W2bjQ5NO+swyiDem7Z6tWGRGPIwHctkMlatVQUK TcSPhueyAGM2FksGxRLa7yiMumY6s65et23p1HHlhW+iE/XbxX6cjDjxCYv4xS9+YfdPLdvS4pq1 mm174423JYz3YHXNrn8xb9PTZ210dNyikYR1O0nLpGLaCu7uda3TrVkmg/sy9u/ICzetUduTXvrL L19S69ezlob7rhUVk+a5++4hhdxSYssXCtZs1DTnQnfqSFvq0a+sr2Xej5MbJz5hVasVy+bydu78 KW387s8/sEy6JFpNt520qannJP/bqKP0mZAKKGWRFIojDcsVwJ8f2EF1T4akFm3JJOLqa78w7kqw WdSw6jD5uLooFRXJKqyQkqmjKswT1ZOVTI/yWL+66sfJiROesLoiJPMnUIJikQ3dpuRfMumijYyM 2N5+zWLR5KEaZ6NZFfm4G+laLNqxxcUF4amYR+VLaZuZOWOnTo9bOkOb2LF05nGKCk/SK/8+yaef qPpx8uKEJywPUOiQkccnRuWgjEHE8uqspRJ5Gxga1Typ0+3KVqvRqGkYjtQwOuo9q1l5IGcDAwNW KhdsYKCoZEVEY72nt7nqRz/6cRgnPmFBr9GWL26WyUTt9OlpAUMBc26sr9j95TuHRqSJZEwVGURk Zk1oYT33wmk5IJfKrneOzlWjibBeQngqj/5Grx/9+CHixCes0IaKpMVAvFROW6k8YzMzk7a5uW31 RtP/LUpCy6htJGmhnYeZKProtJNdFVPYc7Hlow3sPtmQ4bu6HfejH/14KE54wnLajZsqsJVzJxk0 0/PFmOULw6LAuM+e/wYieu7o3LZoryfjUxIabaX4hoG5KFtAsFauYXWsBezzAPvRj987TnjC8vnV cUsrLLbqdb+N6ktqDiwGhY9CNqbr94+yHaQ8wlKL308cJapAmcEfsz+r6kc/fqg48QnLRfB8A6gP JA58gXmU/z1MZCDQkZhBzYE/5YxMSxhNqpLi97lvNMLvx4Nk1o9+9MN+wPgvbbPpyUWh6EsAAAAA SUVORK5CYII=