20220608 14594800 1.0 FALSE Fault_Zones 002 6106189.498128 6796699.162053 2098787.949389 2320574.495645 1 Server=GIS01; Service=sde:sqlserver:GIS01\GISSQLSERVER; Database=GIS; Version=sde.DEFAULT ArcSDE Connection Projected GCS_WGS_1984 WGS_1984_Web_Mercator_Auxiliary_Sphere <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/2.9.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> Linear Unit: Meter (1.000000) CopyFeatures FaultZones C:\Users\AGrim\Documents\Workspace\ModelProducts\Data-Countywide\StaticFiles.gdb\FaultZones # 0 0 0 PairwiseClip FaultZones SanJacinto_CityLimit C:\Users\fkhan\AppData\Local\Temp\ArcGISProTemp15404\4ad71a4f-1978-4097-84cd-36901a2360ae\Default.gdb\Fault_Zones # Project Fault_Zones "\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\EnerGov Map\energov_layers\energov_layers_wgs.gdb\Fault_Zones" PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]] WGS_1984_(ITRF00)_To_NAD_1983 PROJCS["NAD_1983_StatePlane_California_VI_FIPS_0406_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-116.25],PARAMETER["Standard_Parallel_1",32.78333333333333],PARAMETER["Standard_Parallel_2",33.88333333333333],PARAMETER["Latitude_Of_Origin",32.16666666666666],UNIT["Foot_US",0.3048006096012192]] NO_PRESERVE_SHAPE # NO_VERTICAL CopyMultiple "\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Acres FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Agricultural_Preserve FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Agricultural_Resource FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\CFD FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\CFD_2002_1 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\CFD_2003_1 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\CFD_2003_2 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\CFD_2017_1 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\CFD_2018_1 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\CFD_2020_1 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Code_Enforcement_Zones FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Criteria_Area_Species FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Criteria_Cells FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Fault_Zones FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Fire_Hazard FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Flood_Zones FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Full_Address_Point FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\General_Plan FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Hazardous_Material_Sites FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\History_Writer_Line FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\History_Writer_Point FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\History_Writer_Polygon FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Legal FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Liquefaction FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\LLPD1 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\LLPD2 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Road_Classification FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\San_Jacinto_Boundary FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\San_Jacinto_Parcels FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\School_Districts FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Spatial_Collection_Line FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Spatial_Collection_Point FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Spatial_Collection_Polygon FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Specific_Plan FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Subdivision FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Subdivision_Tracts FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Water_Districts FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\energov_layers_wgs.gdb\Zoning FeatureClass" \\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\GIS.sde Acres;Agricultural_Preserve;Agricultural_Resource;CFD;CFD_2002_1;CFD_2003_1;CFD_2003_2;CFD_2017_1;CFD_2018_1;CFD_2020_1;Code_Enforcement_Zones;Criteria_Area_Species;Criteria_Cells;Fault_Zones;Fire_Hazard;Flood_Zones;Full_Address_Point;General_Plan;Hazardous_Material_Sites;History_Writer_Line;History_Writer_Point;History_Writer_Polygon;Legal;Liquefaction;LLPD1;LLPD2;Road_Classification;San_Jacinto_Boundary;San_Jacinto_Parcels;School_Districts;Spatial_Collection_Line;Spatial_Collection_Point;Spatial_Collection_Polygon;Specific_Plan;Subdivision;Subdivision_Tracts;Water_Districts;Zoning "Acres FeatureClass GIS.DBO.Acres #;Agricultural_Preserve FeatureClass GIS.DBO.Agricultural_Preserve #;Agricultural_Resource FeatureClass GIS.DBO.Agricultural_Resource #;CFD FeatureClass GIS.DBO.CFD #;CFD_2002_1 FeatureClass GIS.DBO.CFD_2002_1 #;CFD_2003_1 FeatureClass GIS.DBO.CFD_2003_1 #;CFD_2003_2 FeatureClass GIS.DBO.CFD_2003_2 #;CFD_2017_1 FeatureClass GIS.DBO.CFD_2017_1 #;CFD_2018_1 FeatureClass GIS.DBO.CFD_2018_1 #;CFD_2020_1 FeatureClass GIS.DBO.CFD_2020_1 #;Code_Enforcement_Zones FeatureClass GIS.DBO.Code_Enforcement_Zones #;Criteria_Area_Species FeatureClass GIS.DBO.Criteria_Area_Species #;Criteria_Cells FeatureClass GIS.DBO.Criteria_Cells #;Fault_Zones FeatureClass GIS.DBO.Fault_Zones #;Fire_Hazard FeatureClass GIS.DBO.Fire_Hazard #;Flood_Zones FeatureClass GIS.DBO.Flood_Zones #;Full_Address_Point FeatureClass GIS.DBO.Full_Address_Point #;General_Plan FeatureClass GIS.DBO.General_Plan #;Hazardous_Material_Sites FeatureClass GIS.DBO.Hazardous_Material_Sites #;History_Writer_Line FeatureClass GIS.DBO.History_Writer_Line #;History_Writer_Point FeatureClass GIS.DBO.History_Writer_Point #;History_Writer_Polygon FeatureClass GIS.DBO.History_Writer_Polygon #;Legal FeatureClass GIS.DBO.Legal #;Liquefaction FeatureClass GIS.DBO.Liquefaction #;LLPD1 FeatureClass GIS.DBO.LLPD1 #;LLPD2 FeatureClass GIS.DBO.LLPD2 #;Road_Classification FeatureClass GIS.DBO.Road_Classification #;San_Jacinto_Boundary FeatureClass GIS.DBO.San_Jacinto_Boundary #;San_Jacinto_Parcels FeatureClass GIS.DBO.San_Jacinto_Parcels #;School_Districts FeatureClass GIS.DBO.School_Districts #;Spatial_Collection_Line FeatureClass GIS.DBO.Spatial_Collection_Line #;Spatial_Collection_Point FeatureClass GIS.DBO.Spatial_Collection_Point #;Spatial_Collection_Polygon FeatureClass GIS.DBO.Spatial_Collection_Polygon #;Specific_Plan FeatureClass GIS.DBO.Specific_Plan #;Subdivision FeatureClass GIS.DBO.Subdivision #;Subdivision_Tracts FeatureClass GIS.DBO.Subdivision_Tracts #;Water_Districts FeatureClass GIS.DBO.Water_Districts #;Zoning FeatureClass GIS.DBO.Zoning #" CopyFeatures \\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\GIS.sde\GIS.DBO.City_Geological\GIS.DBO.Fault_Zones \\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Fault_Zones # # # # CopyMultiple "\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Zoning FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\wtrWellPtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\wtrValvePtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\wtrTankPtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\wtrPumpStationPtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\wtrPumpPtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\wtrMainLnEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\wtrMainAbandonedLnEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\wtrLateralLnEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\wtrFittingPtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\wtrCathodicTestStationPtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\wtrCasingPyEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\wtrBlowoffHydrantPtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\wtrAirVacPtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Water_Meter_Parks__ATTACHREL RelationshipClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Water_Meter_Parks__ATTACH Table;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Water_Meter_Parks FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Water_Districts FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\swrTreatmentPlantPtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\swrManholePtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\swrMainLnEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\swrMainAbandonedLnEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\swrLiftStationPtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\swrLateralLnEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\swrFittingPtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\swrCathodicTestStationPtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\swrCasingPyEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\swrAppurtenancePtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Subdivision_Tracts FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Subdivision FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Specific_Plan FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Spatial_Collection_Polygon FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Spatial_Collection_Point FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Spatial_Collection_Line FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\School_Districts FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\SCE_Meters_Parks__ATTACHREL RelationshipClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\SCE_Meters_Parks__ATTACH Table;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\SCE_Meters_Parks FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\San_Jacinto_Parcels FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\San_Jacinto_City_Limits_Buff FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\San_Jacinto_Boundary FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\sample2002_backup FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\sample2002_additions FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\sample2002 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Road_Classification FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\rclValvePtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\rclMainLnEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\rclMainAbandonedLnEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\rclLateralLnEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\rclFittingPtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\rclBlowoffHydrantPtEs FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Newly_Purchased_Street_Lights FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\LLPD2 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\LLPD1_Zones_022510_Project FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\LLPD1_Zones_022510_Proj FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\LLPD1 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Liquefaction FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Legal FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\History_Writer_Polygon FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\History_Writer_Point FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\History_Writer_Line FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Hazardous_Material_Sites FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\General_Plan FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Full_Address_Point FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Flood_Zones FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Fire_Hazard FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Fault_Zones FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Envirostar2 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Envirostar FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Current_Street_Lights FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Criteria_Cells FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Criteria_Area_Species FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Code_Enforcement_Zones FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\CFD_2020_1 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\CFD_2018_1 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\CFD_2017_1 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\CFD_2003_2 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\CFD_2003_1 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\CFD_2002_1 FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\CFD FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Calsense__ATTACHREL RelationshipClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Calsense__ATTACH Table;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Calsense FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Booster_Pump_Parks__ATTACHREL RelationshipClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Booster_Pump_Parks__ATTACH Table;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Booster_Pump_Parks FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Backflow_Parks FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Agricultural_Resource FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Agricultural_Preserve FeatureClass;\\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\MyEnergov.gdb\Acres FeatureClass" \\ch-fs01\RedirectedFolders\fkhan\Documents\ArcGIS\Projects\MyEnergov\GIS01.sde Zoning;wtrWellPtEs;wtrValvePtEs;wtrTankPtEs;wtrPumpStationPtEs;wtrPumpPtEs;wtrMainLnEs;wtrMainAbandonedLnEs;wtrLateralLnEs;wtrFittingPtEs;wtrCathodicTestStationPtEs;wtrCasingPyEs;wtrBlowoffHydrantPtEs;wtrAirVacPtEs;Water_Meter_Parks__ATTACHREL;Water_Meter_Parks__ATTACH;Water_Meter_Parks;Water_Districts;swrTreatmentPlantPtEs;swrManholePtEs;swrMainLnEs;swrMainAbandonedLnEs;swrLiftStationPtEs;swrLateralLnEs;swrFittingPtEs;swrCathodicTestStationPtEs;swrCasingPyEs;swrAppurtenancePtEs;Subdivision_Tracts;Subdivision;Specific_Plan;Spatial_Collection_Polygon;Spatial_Collection_Point;Spatial_Collection_Line;School_Districts;SCE_Meters_Parks__ATTACHREL;SCE_Meters_Parks__ATTACH;SCE_Meters_Parks;San_Jacinto_Parcels;San_Jacinto_City_Limits_Buff;San_Jacinto_Boundary;sample2002_backup;sample2002_additions;sample2002;Road_Classification;rclValvePtEs;rclMainLnEs;rclMainAbandonedLnEs;rclLateralLnEs;rclFittingPtEs;rclBlowoffHydrantPtEs;Newly_Purchased_Street_Lights;LLPD2;LLPD1_Zones_022510_Project;LLPD1_Zones_022510_Proj;LLPD1;Liquefaction;Legal;History_Writer_Polygon;History_Writer_Point;History_Writer_Line;Hazardous_Material_Sites;General_Plan;Full_Address_Point;Flood_Zones;Fire_Hazard;Fault_Zones;Envirostar2;Envirostar;Current_Street_Lights;Criteria_Cells;Criteria_Area_Species;Code_Enforcement_Zones;CFD_2020_1;CFD_2018_1;CFD_2017_1;CFD_2003_2;CFD_2003_1;CFD_2002_1;CFD;Calsense__ATTACHREL;Calsense__ATTACH;Calsense;Booster_Pump_Parks__ATTACHREL;Booster_Pump_Parks__ATTACH;Booster_Pump_Parks;Backflow_Parks;Agricultural_Resource;Agricultural_Preserve;Acres "Zoning FeatureClass GIS.DBO.Zoning #;wtrWellPtEs FeatureClass GIS.DBO.wtrWellPtEs #;wtrValvePtEs FeatureClass GIS.DBO.wtrValvePtEs #;wtrTankPtEs FeatureClass GIS.DBO.wtrTankPtEs #;wtrPumpStationPtEs FeatureClass GIS.DBO.wtrPumpStationPtEs #;wtrPumpPtEs FeatureClass GIS.DBO.wtrPumpPtEs #;wtrMainLnEs FeatureClass GIS.DBO.wtrMainLnEs #;wtrMainAbandonedLnEs FeatureClass GIS.DBO.wtrMainAbandonedLnEs #;wtrLateralLnEs FeatureClass GIS.DBO.wtrLateralLnEs #;wtrFittingPtEs FeatureClass GIS.DBO.wtrFittingPtEs #;wtrCathodicTestStationPtEs FeatureClass GIS.DBO.wtrCathodicTestStationPtEs #;wtrCasingPyEs FeatureClass GIS.DBO.wtrCasingPyEs #;wtrBlowoffHydrantPtEs FeatureClass GIS.DBO.wtrBlowoffHydrantPtEs #;wtrAirVacPtEs FeatureClass GIS.DBO.wtrAirVacPtEs #;Water_Meter_Parks FeatureClass GIS.DBO.Water_Meter_Parks #;Water_Meter_Parks__ATTACHREL RelationshipClass GIS.DBO.Water_Meter_Parks__ATTACHREL #;Water_Meter_Parks__ATTACH TableDataset GIS.DBO.Water_Meter_Parks__ATTACH #;Water_Districts FeatureClass GIS.DBO.Water_Districts #;swrTreatmentPlantPtEs FeatureClass GIS.DBO.swrTreatmentPlantPtEs #;swrManholePtEs FeatureClass GIS.DBO.swrManholePtEs #;swrMainLnEs FeatureClass GIS.DBO.swrMainLnEs #;swrMainAbandonedLnEs FeatureClass GIS.DBO.swrMainAbandonedLnEs #;swrLiftStationPtEs FeatureClass GIS.DBO.swrLiftStationPtEs #;swrLateralLnEs FeatureClass GIS.DBO.swrLateralLnEs #;swrFittingPtEs FeatureClass GIS.DBO.swrFittingPtEs #;swrCathodicTestStationPtEs FeatureClass GIS.DBO.swrCathodicTestStationPtEs #;swrCasingPyEs FeatureClass GIS.DBO.swrCasingPyEs #;swrAppurtenancePtEs FeatureClass GIS.DBO.swrAppurtenancePtEs #;Subdivision_Tracts FeatureClass GIS.DBO.Subdivision_Tracts #;Subdivision FeatureClass GIS.DBO.Subdivision #;Specific_Plan FeatureClass GIS.DBO.Specific_Plan #;Spatial_Collection_Polygon FeatureClass GIS.DBO.Spatial_Collection_Polygon #;Spatial_Collection_Point FeatureClass GIS.DBO.Spatial_Collection_Point #;Spatial_Collection_Line FeatureClass GIS.DBO.Spatial_Collection_Line #;School_Districts FeatureClass GIS.DBO.School_Districts #;SCE_Meters_Parks FeatureClass GIS.DBO.SCE_Meters_Parks #;SCE_Meters_Parks__ATTACHREL RelationshipClass GIS.DBO.SCE_Meters_Parks__ATTACHREL #;SCE_Meters_Parks__ATTACH TableDataset GIS.DBO.SCE_Meters_Parks__ATTACH #;San_Jacinto_Parcels FeatureClass GIS.DBO.San_Jacinto_Parcels #;San_Jacinto_City_Limits_Buff FeatureClass GIS.DBO.San_Jacinto_City_Limits_Buff #;San_Jacinto_Boundary FeatureClass GIS.DBO.San_Jacinto_Boundary #;sample2002_backup FeatureClass GIS.DBO.sample2002_backup #;sample2002_additions FeatureClass GIS.DBO.sample2002_additions #;sample2002 FeatureClass GIS.DBO.sample2002 #;Road_Classification FeatureClass GIS.DBO.Road_Classification #;rclValvePtEs FeatureClass GIS.DBO.rclValvePtEs #;rclMainLnEs FeatureClass GIS.DBO.rclMainLnEs #;rclMainAbandonedLnEs FeatureClass GIS.DBO.rclMainAbandonedLnEs #;rclLateralLnEs FeatureClass GIS.DBO.rclLateralLnEs #;rclFittingPtEs FeatureClass GIS.DBO.rclFittingPtEs #;rclBlowoffHydrantPtEs FeatureClass GIS.DBO.rclBlowoffHydrantPtEs #;Newly_Purchased_Street_Lights FeatureClass GIS.DBO.Newly_Purchased_Street_Lights #;LLPD2 FeatureClass GIS.DBO.LLPD2 #;LLPD1_Zones_022510_Project FeatureClass GIS.DBO.LLPD1_Zones_022510_Project #;LLPD1_Zones_022510_Proj FeatureClass GIS.DBO.LLPD1_Zones_022510_Proj #;LLPD1 FeatureClass GIS.DBO.LLPD1 #;Liquefaction FeatureClass GIS.DBO.Liquefaction #;Legal FeatureClass GIS.DBO.Legal #;History_Writer_Polygon FeatureClass GIS.DBO.History_Writer_Polygon #;History_Writer_Point FeatureClass GIS.DBO.History_Writer_Point #;History_Writer_Line FeatureClass GIS.DBO.History_Writer_Line #;Hazardous_Material_Sites FeatureClass GIS.DBO.Hazardous_Material_Sites #;General_Plan FeatureClass GIS.DBO.General_Plan #;Full_Address_Point FeatureClass GIS.DBO.Full_Address_Point #;Flood_Zones FeatureClass GIS.DBO.Flood_Zones #;Fire_Hazard FeatureClass GIS.DBO.Fire_Hazard #;Fault_Zones FeatureClass GIS.DBO.Fault_Zones #;Envirostar2 FeatureClass GIS.DBO.Envirostar2 #;Envirostar FeatureClass GIS.DBO.Envirostar #;Current_Street_Lights FeatureClass GIS.DBO.Current_Street_Lights #;Criteria_Cells FeatureClass GIS.DBO.Criteria_Cells #;Criteria_Area_Species FeatureClass GIS.DBO.Criteria_Area_Species #;Code_Enforcement_Zones FeatureClass GIS.DBO.Code_Enforcement_Zones #;CFD_2020_1 FeatureClass GIS.DBO.CFD_2020_1 #;CFD_2018_1 FeatureClass GIS.DBO.CFD_2018_1 #;CFD_2017_1 FeatureClass GIS.DBO.CFD_2017_1 #;CFD_2003_2 FeatureClass GIS.DBO.CFD_2003_2 #;CFD_2003_1 FeatureClass GIS.DBO.CFD_2003_1 #;CFD_2002_1 FeatureClass GIS.DBO.CFD_2002_1 #;CFD FeatureClass GIS.DBO.CFD #;Calsense FeatureClass GIS.DBO.Calsense #;Calsense__ATTACHREL RelationshipClass GIS.DBO.Calsense__ATTACHREL #;Calsense__ATTACH TableDataset GIS.DBO.Calsense__ATTACH #;Booster_Pump_Parks FeatureClass GIS.DBO.Booster_Pump_Parks #;Booster_Pump_Parks__ATTACHREL RelationshipClass GIS.DBO.Booster_Pump_Parks__ATTACHREL #;Booster_Pump_Parks__ATTACH TableDataset GIS.DBO.Booster_Pump_Parks__ATTACH #;Backflow_Parks FeatureClass GIS.DBO.Backflow_Parks #;Agricultural_Resource FeatureClass GIS.DBO.Agricultural_Resource #;Agricultural_Preserve FeatureClass GIS.DBO.Agricultural_Preserve #;Acres FeatureClass GIS.DBO.Acres #" ItemDescription 20220608 14464700 20220608 14464700 150000000 5000 The purpose of this data layer is to show all known fault zones in San Jacinto,CA <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>County Faults/Fault Zones (Per Riverside County General Plan 10/2003). Alquist-Priolo Earthquake Fault Zones have been designated by the California Division of Mines and Geology for the Elsinore, San Jacinto, and San Andreas fault zones in Riverside County. Within the rapidly growing county, State A-P mapping has not kept pace with development. The County of Riverside has zoned fault systems and required similar special studies prior to development. These are referred to as County Fault Zones on Figure S-2 and in the Technical Background Report. Within A-P and County Fault Zones, proposed tracts of four or more dwelling units must investigate the potential for and setback from ground rupture hazards. As there are many active faults in Riverside County, with new fault strands being continually discovered, all proposed structures designed for human occupancy should be required to investigate the potential for and setback from ground rupture. Also of concern are structures, not for human occupancy, that can cause harm if damaged by an earthquake, such as utility, communications, and transportation lifelines. The County regulates most development projects within earthquake fault zones (Figure S-2). Projects include all land divisions and most structures for human occupancy. Before a project can be permitted within an A-P Earthquake Fault Zone, County Fault Zone, or within 150 feet of any other potentially active or active fault mapped in published United States Geological Survey (USGS) or California Division of Mining and Geology (CDMG) reports, a geologic investigation must demonstrate that proposed buildings will not be constructed across active faults.</SPAN></SPAN></P><P STYLE="font-size:16ptmargin:7 0 7 0;"><SPAN><SPAN>Updated 2/2016 with Thermal and Indio California Geologic Survey Quads</SPAN></SPAN></P><P><SPAN><SPAN /></SPAN></P><P><SPAN /></P></DIV></DIV></DIV> Fault_Zones Environment <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>None.</SPAN></P></DIV></DIV></DIV> Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 12.9.0.32739 002 -117.753219 -115.474279 34.035913 33.417474 1 USGS, California Division of Mining and Geology File Geodatabase Feature Class dataset EPSG 6.18.3(9.3.1.2) Simple FALSE 0 TRUE FALSE 0 Fault_Zones Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. FAULTZONE FAULTZONE String 50 0 0 SOURCE SOURCE String 50 0 0 AUTHORITY AUTHORITY String 25 0 0 SHAPE SHAPE Geometry 0 0 0 Feature geometry. ESRI Coordinates defining the features. SHAPE_Length SHAPE_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. SHAPE_Area SHAPE_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20220608 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzsnQd8FPeZ/r8zs029dwkEQhTRezHFBWMw7r3bsVPsS7HPySW5 9Eu9f3I5x3EuzUlsx3GPC7hgAwbjQu+9SIimilBv22b+n/c3kpCwwCLGNhLzfD5CYne1O7vaefYt z/u8LsuyLBw4cOCgF8D1WR+AAwcOHPQUDmE5cOCg18AhLAcOHPQaOITlwIGDXgOHsBw4cNBr4BCW AwcOeg0cwnLgwEGvgUNYDhw46DVwCMuBAwe9Bg5hOXDgoNfAISwHDhz0GjiE5cCBg14Dh7AcOHDQ a+AQlgMHDnoNHMJy4MBBr4FDWA4cOOg1cAjLgQMHvQYOYTlw4KDXwCEsBw4c9Bo4hOXAgYNeA4ew ejH8IYs3NvsZmWP/GYNh8AftnSJNAQssjeaAyb7yMGlx+invqyVgYejgcWndXl+Q5cLr0th0MNij Y9M1uHysD5dx2k/LgYOTwiGsXgzZdxQboTEo7dR/xqrGVuaO8hLl7Z6M9pSFOFAVxuuC84d5P3T9 +uKgIrIdJSGumeBD6/5uuuDd3QGCYQuX0YMbO3DQQziEdQ6gvsXE3U2kEzZh48EgMT6N0powWQkf vlFFvUlClE5tk8nlYz9MZidDS8BEP3VQ58DBacMhrHMUIdNi6fYAo3LcbDkUZO4oH3vKuqZ7kl5u PRRkZI6bmqbP7FAdOOiAQ1jnIISINh0MqbrWsUZTpYtHG8wut6lrltsEmTnUw7bDIcbluj+z43Xg oB0OYfVihMLg7kGNqKbR6iiml9aG2XIoREq0roroUkw/8T6LKkNUNZhMynOz6UCIYZkuVUR34OCz hkNYvRhSg+ppnUh6h5LeNbVaVAsZDXSTFK13KeBXN1k8ubKFayf4iPRovLHFr4rs/wpZ2b1KBw7O LBzCOkewujBIcrTGnrIw103y4XUfZ6HWoMXqIqlnuVTH8a1tfkb3c3HdRN+//HjNfg29J+1EBw5O Aw5hnQNRmBBSjA9qmi0mD3KzuihIKGzhdgmpQEWdqb6v2x+ist5kSIaL9DhHQOXg7INDWH2crHaW hLh9uo8NxSHiIjWO1ptKJOrzoArtEgONyHYrPVdZnZ0qOnBwtsIhrF4MrxtW7Quycu9xOUJzwOqo OZXUmkpj5TFgQKrBuuIQgSDsKgup+lWMF5JjDZUm1rVY3DjlX08BHTj4NOAQVi+Gz63xH/OjulxW VBkmL9XgvT0BUmN1lu8KKAX7DZMj2FAcVIR289QIpUKfMcTT8XuHj4VVhHWmICNBTmfRwZmGQ1h9 DFKbkrGYxGidRr/FhAFuVhcGeH5Ni5I2pMfpHKgKEeX5ZAviQn1Ozd3BmYZDWH0IoqGqb7EY3c+t tFTjc90s2R5QkVhOksHs4cdHa4TUHDjobXAIqw/hvb0Bhma41IjNxIF2uhfhgcPVJrOGHk//HDjo rXAIqw8gZIokIUhilMbe8hA+N6qGJeLNfeUhbpjko7AirOQNoGFaFtmJ+ieemjpwcKbhEFYfmQsU sqpqNFXqlxSlKwmDQCQM+yrkel0NMX96x2V7YjlwcCbhEFYvhozTiFdV/2SDlqClBpazEmDhplZu Py9CXd/kt6hpsqhrCTPzsz5gBw4+JhzC6sVoaLXYWx6mX7KhRmpKa0wy4vUuEocx/V1EeDQaWpwU zUHvh0NYvRgSQYkwNNqrKYO9QMhSlwk5Se1KHEKvGu/jhbWtTM5zU91oSglLoTVg0dypUVhWG1bK d0kdpVAf0WnW8GSIidB65BbhwMGZgkNYvRjRPluusPVwSP1foiwZvZGC+sFjYTyGpsZzVuwOqEK7 qNu1NsYSUorxHY/G4iN1RT7Ldtoe8ZJKtkN+o7v4rLbJInCS4vqJ/loOHJwJOITViyFLIyRy6ozy WpPh2W58LqhtsSivDfO5GRGkxunkJJ56oFkiMLGrORPzhH94u/lj34cDByfCIaw+CnESFS/2+laL iJMsn3DgoLfBIaw+BomQpD4l0Zdka6KHio80HF2Ugz4Bh7D6GISoZF+hbMARbytxDpVCvAMHfQEO YfVyiP6qc0dPCufVTaZaGiHq9mifrorzkiI6cNDb4RBWL8dzq1sZkGwwY6hHKcvlq6VNrpAQpdHY atESCHe7l9CBg94Gh7B6MWqbTXKTDcYNcLOmKKBGb2Q1fGOrHU2J5GHZDj+tIYvRn+JYjgMHnxQc wurFEO2UDDoLQU0d5GH5Lr+yOxaTPoGISqV+FQjZvu4OHPR2OITVyzF5kIeSalOtmp85xMueshB7 ysMd1w9McylN1pl0E3Xg4LOCQ1i9HFJuz0rUKSwPc7g6zLAsF/deEMmqwqASgIrDqNgh+5odLZaD 3g+HsPoAhIry0w02HAgSF6ExMNUgPlJj5T7ZNehW5CWXO3DQ2+EQVh+CWCLLzsHJA3Xl6T4t38ML a1vURhyPy1AdQ5E4OHDQW+EQVh/DiCwXr2/2c9lYrxKRXj8pQhXjJTXceDDIzE6bchw46G1wCKuP QSKolBid2mYZydEUacnyieU7AwxKM5Thn4hKu3MDlT7ixuIgTW2yiHbouqYWrQpEpDo086PfNsEQ 1DWfuUK/z6PhdTnR4bkOh7D6ICbmudXG5/jI43/e8wa7WVsUZHR/FztLggzLdCsy6wyhA9F0nejW IBY1R+vtzuO7ewJkxBsdFswnQ1ldmHXFxxe8fhxobWaF7XKNzoY3silIHCuGZDhv5XMBzl+5D0Ki J5E3jMg+/ueVnYTi2iAeWPlpGm9t9XPpmONrv04FIbb0eFsqH+np2fKKtFi9y1qxTwriWX+k2pFs nCtwCKuP4pKRXpX+ySLVdkgda9vhkDLoO7/AozbrdN7+7MDB2Q6HsGRLsQWPvdvCqByXkgeIglwg K7NkManomERJ3ttqWeLvvnZ/kDH9XCrCkoWqNU12aicuDuLosO1IiOFZLmfDjYNeAde5Qkg1TWYX mxVZoy7pkcdlV0RkUHj8ADdLd/g5fCysZvTkhBYd01/eaT5jhCW1GLl/8a1qT2kMTaN/Stt0soUi yJ7C7dK6aKykpiMzhgIpUotd8p/faVYpWl6qS62vb4ds2zl0LMzqogDZCYaqEUnUlZ2gqxdI7tWl d/VIbvZbyvkhEGp7zJOUsvwhKK8zFRGe1sr6zk+9/XE127++4+E6XS7eX/J8qxpOryDf9utnBPJh 0N6UcPDJ4pwgrIo6U83cuTp1mSrrwzyzqoWvXBzVcZmcXHNG2HUXWeggZCC1njM5h7f5YIjcFJ3k aJux5GQWEmgvauuaRkpsz5ecbjkUZPpgT5dlEnKfcW1Rotetcdf0SOW9vr8yTF3L8XqPKOOFzHcc DrH9sF3zGpBiqNuNyHF1HE/nU/GS0V56cnRfujCC9/cG1Gyj7En8uCisDKljHZzW9S0rpCzP9bRI EdhxJKispM8E3t7h54pxPidK/RRwThCWvNHFF6qzxUqMz0VqbIg3t/opyHJ1+6m5dEeAfkkGxUeP z+adCcjaLflqh6RqIvT8VyAk+/oWv/q5qt5UyyUE7RIATdPwuKyObp/IDdohRFlWa5Kf7lLf39oW UDqu7ESD3aVhpgz6OCe0nYLKRh/ZrvNxEenVME17U8+ZgBybDIefMZzJkM3BuU1Yp6rzXDLKy5aD wS4EIlhdGFDdMUl/Is9gs0sinU0HgookJeX8uBA1ezuW7/RzQcGpD3ZDcVClflLDqm8xuWj48d+X 5/rQoiaqGu1B6nd2BZia7+6T+ifHu6J34pwmLIGcimP6uxnT6bKqBlMJFaXOVJDpUinSmYKs3hrW z8WR6jArdgWYO9qrammflsHe8GyX6h6eN9jDysIgu8tCHSdwXZPF5eN8qu719KpWvnpxJAs3tnLl OJ+KOD9LSGJqnUGv586R5seFELpDgJ8OznnCOhFHasIcrApjmTA4w96a/ElgTD+3IkNRpL+3209h ZZhp+W5V8/kkIamQpIaSPoqdcma8obqhchztW6M3HQgRDls8/l4Lt02LUJ3GznWyzyoalhVmDs5t OITVCZISyWiKpGqZCQapsbqqm0gN7JOARC2psRoXDvdyfgGKKMVhQR6vvRgvkNRU3EMHJLuUo+jH hajC5bFko44Q2NxRXnKTXeqx1+0PqjRRZhG3HwmxaKuf84d5FGmdiX2FDhx8HJwThCWFadX1O8Va ddl0vKs0pGQMYet4tCHEISf2p3GM0qGTrxMhUoU95SFeXNeibiezfNJEkMWonQmsp8QqUaNEdDdM 9pEaK13BEAs2tjI43WBSnpthbbOCkj4Kse04YotNpaYlQtMTR3ocOPi00CcJS7ROf1japH72eXTS 4zR2lISI9urcNFVqNEaXho6c6P9Y2cIVY73sP2pyXv7ZFUkIKYm4U77aEQxZ/P7tJlV/O10HBtFW ST1IuqBiOfOlCyNV1CWbn4XI2iGv0fwxXhZs8CuJwpyRXgorQs7cnoPPDK6+qrv65mXR6mdJ6WQV 1rR8k2AYlmwLKLGoRAmirxKyWrChVemvROh4IllJhCW/d7ZBNGJfmxOlBLFr9weobrR6pAOqbbJ4 c5tf1awkWuo8b3gyzBnp4WcLG0mPM1TkKYPV3UlBHDj4pNEn33WmZfHL1xsVccVGSP5ikRCpc+1E HzdO8SnV9OaDQQo3HmT188eYUbWbzeuyyO8XSfluDZehEe2xbJU3FtEbWljZf2bbfdt6JqlziV2L 6JekaC3DxjKrFx+lqw6UuH52l96Jin3l3qBSRstxngxJezYxPKZZ1K7d38ACyzSJqShnbFq6snIp LWmg9Z0yjIKhXQhXPUxrK01L32Xb2Hlc1V9nsZnLrtKkLhYwMoZUUhNW0duJEJX80ytbVD1L0ucD VeGPdDHdXRpSzYWzEVIicND70CcJS8SKok/afCioZARRXshPc/G7pc2q2yUp1PQhHiYXFtLc2srK J/7I1Ef/RPyoUR+eIzFNJi//M0PyZ3dctKYoqESHR+tNJREY29/FntKQUk7npRqqeL+vItwtYUkd bdpgV4fS/WQI7K7EmH4Jmu8jRGAbNsL4cSSD+qK4GLZsgQsvhNjYLjeNnz+XGcJ1TU0MfH8fkbnp iljbISMuWw5pSvJwIibl2XU+iVYvLPCopsRHQW57tuKTaqQ4+GTRJwlLTiaJdIQwJBKSCEPWtx9u m5uTdHCWLB4NhjhaUcbsN17j2auuZeyttzDivi91vTNdJzfmuK+TFQgQf2AXVvJIDh4LM3WQ++xa oTVgAPTrR+X3v0/KnDlo55/f41+VMRz/SZ7LjpIgV4zz8rcVLWTEhdU4TJS37wlKHZzd6JOEJZC6 k5yAAvkm7ftrJ0Vw3hBTzRBKapZ3sJJ+d9yMOyGBWxe/yabfPMyzt9zGjX/7C5rP96H7tOrqCK/f SFRUuipQi3WLiEw/S5gtzR2zfTVHj1L7wgtoGRmkZmZRFxdH6+9/T8y8eUQJkbWjtfXkqWY3+GBv QJG/fBCIWZ6Qv6R7o/q5Ttl5deDgTMPVl90ZhKROhNSZpJa1eJsfd0UzBW2kpkdGMP4/v0X6wld5 6qI5zP/N/5IwcULH71kVlYT3F6P3y8Ff1v384WcBMxSmpaiIus2b0RsaGHD33eD1Yr30EpFjxxIe MYLKp55S1yfOmoUvMRGr1U9agocyv5DtqVM76SJKtNqeAs4b7eXlDa00+k0Wbwswe7hHDVg7cPBp 4Ow4684wZOxFooLrJn44ShLIQPP5w7wsfaYZ1q2DCy6wIw5NI+vKK7h17iX8ZtYFXP/AA2TfcJ26 zjx8GCMzHWvzVnLzBvKZw7IIlpdTseAV4i+7jLSrrsIw2i1qjqd1httNxl13QWEh+7/5TYx77yU7 JlYV/EPVdWIlKi3HUyrMZbN0Rb2pLGoEV4z18cLaVjLidFbuC6pu45kQtPZWnK5ThIN/HX2SsOQT f3Q/9yk/+aXDZ+SEsFpaYeFCtCuu6EiTNK+X+5ctZd3PfsHqp57imoJhaDPOgyMlaJfMwdyx88N3 +Cm+acs3baL0L38h60tfIv2SubguuuiEY9HQgh/2Ux/wta9R4/Gw9bcPkzVkGCOGDiOwrx7PdVef 8vEmDfSw9XCISLe4JeiqBnj1eC/PrWlBNLXF74e4e1Yk5yqklicfAF3VfQ4+CfRJwlL+bj2og7f4 vGhHj8KM6VirVqFNmqTSKYEeGcnkn/wXKS/8k6d//BPmDR9O0h23q3TqRNW4uB/09FNWBqpl6Fkk AfJGFz2VmAUmx3y0fLz6lVdoaGggYfBgxj7yCJquYx6r7v7G3bwAcvvEoUNJ+NnPKfrd7zEXLaIp KoKUwn1Ejh+P6bdISxksMWjX39NQSnfpjhZkQVyErj4M7pgeqbqkopRXI0UmavN00r9olfNpQupw Dnof+iRh9RgSUd1wPdZ/fgft/q/B+g0wZTK0p1a6zsAbb6BfdTX/fPzvTPT5GCiR2MeALUy1tUkN LRatIUvtC2w3DvwQjh0jvGoVh/7yVyJuvJF+Y8ageTywb5+6Wqs5CWGdApbfT/+CArTUFNKnT6Nk yxZq336bhCFDKCheDZNyPpTniChVZgnf2eVXkpH2oXBpPEiqKBtyZFTo/T0BJYvoCQGfDuTxHSmC gz5JWF43VNSHGfkRTy9COoExMVi33AJbt6FNnAivvQ5XdiUlV1QkNy18mQ++9Z9Uvfo6Y7/85eMR jHy3LDSxd1CT0nJmtf9sdxBNzT55T7RojvJpRKG1CVQ7QW4XDsPzz0FuLkcrKxnwysvdPget0R5B Oh1o0VFYwSBGerr6f9bo0SBfTc2U//AHHFixnKHf+Q5xmZlo7eTdNoR90XAvK2R5xWBPh7JeBrPl S7CvXOfVTX4+NzPitI/rVFFxpMe2kz7ZbU43XhLy6ykBOone2YM+SVguXWPzoRBltRYNLeLCab/l LCyMlmau2vcKETE+4jdsgr89hi5Cy2HDsH77W+jfH+3fH4RRI201uZwh77+vopppo0exf+cufvbV B3jwlhuJzBuIyx8kqbGZK3YWElU5imB6CpEHDzGkyU+oLF9FM3vMZOoGDlOpVOfuW6jtjDnaSRpR XR/C9+4yvEcOoX3uToiPVwXzk6KpEetvj33oYm3NGlu+0E4ElZUQDKKtW4dVeRRj6DDM3zyMPq6T E1ggQHpLK2mjx1D/20eo8ftpbG4h5bzpGLreQRZjghZ1L1QSmZ3Wxe9dkBa0KA9N5PZd6QSCsg8x dEpnT1uMCsnR4k0vVscnsLp8GGiaIqv9R0NUNYgFdJs3Vtv1bkNXzQGBzDpWN5lkJ7rIbBtg73RX Hd9le5D4WHVMApyigSMup2Yndut4/DbsKAkrb/x2dN6e2P6vvPc6fr/tu0ShogqRa8QZRI4lOdo4 o8PlqW3321fQJwlLakPfmBel3ohSW+ms3A6v34Vx4Z3gdtNAGO68s+M687EnMHL7waXzoLwcJkxE cxlYEu1cdx3m8/8k7zf/y4MbN7L4Jz9jXHYWeZfOxXvsGFHBZhg/CgblYWzZhqe8DGPmdKyWFobt 3YfRyRn0RIhNsyx/EL+nARHNjPC60XOyoRst2IefbDTa3Z/78OURPrj5ZvWjer8K6QmBjRgBxQew 9hdjzZ0Ll807/jtNzbBoEdp11xKniM7C2LWLo+vX481MJ222rfZXyWtNDWzdCjNm2IW5Nsh19yxf y9c3xbKsyGDeaA93zYg8JSFU1plqgeupIOmz8q//iEFvmROVhbGzhrpP6egqOjwZM/oobDookwyn Prb4qADTB7tPW5Mmjq/tvCdjUfJjdXOYt7YGlLDZ+zHPzjX7g1w7wUfCGfDUP1vQJwmrHZ0/WcTB IdgSIKa6RrX6u0DSA4mycnNlQA8e+R384PuwcqVKlazaWswFr6LPlMEWiBs3juuefIIl//516jZs ZPTnP9dVzXQKmUB3kPqPjAxdO8mH1hAkdJRPFpGRqn6nJyWe8mYSScQVFKiv+p072fnd75J7++34 Bg1CT0iA8eNh+w4YMbwLaZWUNuHxuXHpMsbzyS9T7XrMQiD6mUvjPsHavD3naiOug9MNdh4Jq6H0 7nSEp4OjDX2vsdCnCavdJE9qKiJ2zE+BuTUmY9uua387mHv2gMeDHhMFjY3wkx/D7t0wa6YiLXNf IdrESWjZWR33q0VHM+dPf+Doywt45vY7uWXuJR2Kcy0+Dg4f6pL+ScRyMkwe6OaCtk/7bt9i/gBn GlZ9A/qoET2+fWxBAUN/8hOOFRWx68EHyf7mN0nLzobMTNiwAaT+14Z+wzIoeqqWq8anqsjh04bY Tes9sa7oAZxC/9mFPk1YhRV2baFfssFf74lTn75vL8zBfPQv6CkpGPuLMaUzqBtogVa0fv0gJQWe f8GOGHbtgtwB6F4PelQ3aY2uk3Lt1cwbmMvLX3uAGYPySR2U9+HbfcQ5a5xwckn9Sas6Ci0tMHYM ZqCrlOLjQo+LI1hRiatNwtEBMwyRJy+W6/J88/NJ+dWvOLZ2LUVPPcXAz30OTepsQvBDbZeIpDGD ebR2B7/dUs2CjQbLd2p8dc7xdWqfNKQ29aFGxjkIn7vvEW6fJSz5Q0nNQ8ZwxLFz44EgNU0WMUMH sHbreqZ8/gpC5eWE6hvwxMXaUYzUeCRdvOF65Xhg1dejDRyAtXsP7NmNtXUr2siRkNMWWbQhaexY rnzpRV795rdJO3CAyTfdgH5i2nkasCZPxqqpRrtsPqxde+rbBgKnn/6IA0Tow8JSVVDpyYyh10vS jBnETpnC/ueew+12k5ScQlRUFOTkKCLPv2AEX2lew5PvHyA+xUfFgQOkXHY+embG6R6tg38RcRE6 gTO4bONsQJ8lLAla5Et2Cv79/Ra+c0V0x2aahSMmE6pvJOQyaDY0PMOG2nUdqWOVlEBWFpakhqtW w9Rp6CnJWBMnEvr1QxihENqRI2jSdbv6KpBajteLKyWZq//6Z/Y/8n8s+srXmP3v99NeMv/Y49Gn aGNZra3/Wr2mTXLxcSBElXfbbUqCceCRR/AvX07cvV/CkFRR0xhy2RR+ehnUbCtk2zf+Tuz2dbhv uwXXhHFdal4OHHCuExZt9r6yMn3eKG8XN86p07JoXLtRFcq9gwfbZCUQP6ziA/DiS2iSAn7pS1hv LlKjOgwZglu6cRPGQ10d5ksvYz32OIb8jog3b7xRRWcD7/8qyRdcwHNf+CLXuj1EjR1LeaNGwsd4 HuGGk2utzOaWD29itiwst+eURKZFRGA1N5+Z4rRhkPvAA/hrajjwzDP0v/12XDExHVcnjBzEjN/c T/hnP8cqLSXwQjGe66/tM6Sl1nz1sdTrbIWrrxfcpc0t69mXbPcTH6mr/4dCLvzLdzM4T8cfEUFH 1UaKXAMHgBTNRUAaGYkWG4t17BhabS2MHoX1xiK0yy9D/+IXbOJatx4MF/pf/qokDUREEDttGje+ 8iLLfvAjol5+heS5t3+8JyKdy5Ned5IzpSdMdIYLHN6EBPrffTc7/vEPRt96q3otOg5n6BD1mpkt rVjNLYTWbUBPTICkTrY3vVio7BDWp4M+TVjtSIvTKciSNrv9/5A/wOKiwySPGErrKwtAai+CkiOQ lW1vHZcRnX174bzz4K3FtquDiErFcubIEWWSR1wc+uy2wWOJzH73O1vD9cc/4ps4iXnf+g/WP/0s T7/6FhclRjNuVL4yvtO60QTJPKLACli4TpWtSfQkxfh2tLSoSOnE20hNrsvlMuR97BjWQbt7KYJW wj0scMggdaBnnUqXZTFo5kw2fve7jLj/flw+Hy0tLcpJwjdsKFogqCQi5r59aFLvWrcH1+AxmNFt DQDRvMmxtT0P0wyr35eVZ+GyEA2h7muDQo3yunoOhWiJHIDHfWo5hQhWZTFJO0RCJctzT0RpbZik qu4jQdmeLb/xWXRCeyqbkPdWX8I5QVhikyyjKFbQT/DVRViNDVzywHwCzzxN8Mf/ZavJBdIx7JeD lpqq/mstW66M/LSbboS0dNVBs1atRquogM/d1fVB0tOwJk1CE+cEqWt9sBJtxnQmRkcy4ZaJrPrt T/nKig1szJ2BJ8JDacUxTH8ILVBNjDtWnW1xaVG4NZMbj+0gMezH+t731AmRltOPlJ/8wn4c0U91 LlyL9c0LL9k1qXbhmajDdQ3ruX/al8mXaSo9mVZSpiQZ7kvmEPr7k1jPv4AnNVlJONTvCPFu3AQN DXaq26+/ijI7XqP334cpU44X54XU8wfDe+/ZIlK3m8iMdEZfdRWlK1cSsWoNsXkDMF0uqmtqiJWa oMvAfPc9iIshOxQkc/N7mEJSl86H5CT01BR117WvvU7NsGEY8knT0MDQwwc5FjeClJQUIiR6O3jQ HlZPT6dMuE7cZoObqQjGUt8checUknFJ4zpvIRKP9/K6cFeZepsyXpUTTpyrsizVhZYgVXzwrbb5 0LMt8ms6sw3mzxx9mrBKa02W7/TTXNdC0vZnSbrtGjzXXAlej3rDGS+8QNRf/wZff9D+hbFjsBYs QLvmGvXfjgXkeXlQVgZZmbbUQN6w8r1TytMF48bZs3mVR2HsOLQdO5j2xXuYOmUSzTv3oN14Ha68 PHZ/+1EyLr0dyxdFS3Mr0QVBErLaaj81tXa0kZxkH8uu3VgiuWj7fzuCz7+E++ILlRTCGjlKNQOa H38K3399D337dqysLNXR1P7v94QG5qHn58GSJfjffAvvD78H119D4PkXlRDUmDeH8KI3ccsguDxf 8YefNq3rc5MT99prjqvwhcCmT7clETffZFvbtNkC5giJeCPQx41Fy+2v7nPvn/9M8pChxA4dilnf QDgQoKGmiQ9C/ZgV1okb366Sg/pDVWzbVciYe+aROzpazX2qx2qHkJxclp5Ou0IudOQIkzM9tGoo V9ie+s1L+aBfkqtb8aX4p3WHfsntjh1BZ97wU0KfJSzZ6vLu7oDyxRo1NYLNqdew7a1CZk1MRM/K QouqmKGWAAAgAElEQVSNoWH6NBJHjsR67XUlIVDyBfnErq9XX9ahwyAzeaaJVl2tSEorL4PIqA4b mnbUlNVTs66C2uh9jJufbzs+ZKTbX9OmKk2XNnoU7nffx9i3Dz0YYGC+jyrNR0RSBt4Ei02rtnLB fYPsiEIcGUSPkWZHezILqMnPbdFfO/T0VIJvvIl+oBiruhZq61TDILTsHbR9+7Ak3Y2Lw6ipwaqo wP/TX+D5+oPoW7ehp6dBSzPeG64j3NJCcMkyaPGfuiAjkVXnDmM3vludIa9ze9jiy8hg6Pe/T+2a NRQtfJ2o2AT23vNjctJ9XJbtJVxVTc2S94kfPxwtMYHg4P6MdE+lZU8Em7ccZHByKz1x3ZJULekj lmTE+M7efv9HzTeey+iThCV/67d3BLhrRgSbDgRZtjPAhePSqchNZM13f83EglhcMVF41q9HmzGD 0Jo1GGlp6mTU5szBeuDf4ZZb0G65GVa8iyUkdcONIKQg7ghen/KWakd50TH2vnSU0REpFO8O0TLD T0RsJ0ITchszxn4X7i2C6mNoWRlERhoEtywjOjwZz/sLGG4a1C2pJ3HW+E7P5COea3MLrkMH0SQl HTlC+XsZ6akqWtSTE7EkfZSRo1//L677vognMRH/I3/AGD0SDh1SPvXamDEqItKHDCH46uuEN23B kDSxu8eTRsRHkFQXCPFKJNQ2iC2vWuLYscTMu4SdLy3k/OKl6PWJYA3CnZ1FxMypLHn0bcZNzkE/ GiJ6oi3E1ZoNCpduxxN1mLwpGbg/7qDdWQwZaZJVch8XbpeG2frZ7hw40+iTf3VJSS4f61ULIiYM dKsC688XNvKty6NJ+t23Wfyn5cy7aRoBEYy63ejZ2Wj9+3VEL9p3v2OnY3KyXTwbTdK/wn0wfDjW oDx0sWU5dMguvEv5Ki+JQ0nH0KqDDB4+iGNH6sg+1QydFOrHjUWfPZvMnz9E0+qlhAom45N6yHul JNaV2IX95mas9pn/inLVEJDHtAbkokmqJ8cdEYH2lS+jrV+PPmwIxMfa6eTwYdDajJaYqJ6X1SYz sIIhTLmvDxoxXAZa23ykuu5olapvhfcWYu3fjyvTtp/5OFATAgtf7RoZNjRglJZiZafjueFau5HQ 2kp4wav4rr6SOV++mMLHFlKxaQ+Djk/8kJObjT+UzeJfbmLCbbmkfeyj69tIiNQor6VPoU8SVrut RlFliMK9IeXW8I35Uby8vhVf6UH6RQbQPG6CoRD19fXE3nqLXa+RE1tOpDVr0WKi7S6WQGpVdXXq R13WZolotKS0g7AEkRk67AOP183+9dVkF3QfoXSJ+71eIn/4LXY+vovcpDRc+zaSFJfMriaNYXNH KBsY0+VWRV/VGZRUtaYG7fU3VJonUYu+bTsUFarIRzUEJAKS45XakjhO7NihZv3CR0rg93/ETEnB 0z/HjqZWrsJISMQYOZzw1u2EVryL5+YbwBdBaNlywrX1GO2eLP8qXG647lp7/Zjg8GF1XPqECZTP vxyruhotFFIiXb2lmdAHq1TqnXf9hWSPzOLAL+8l4fZfKOmIetl0jQnTx1G3uY7ygwcZfVPP5yEd 9H70WcJq31ZsWSGldJeFoQmvPMN5qU14RxagrV2Lq7AQU2yRo6KwNmzALKtQRny6KNiXLrW/DANL yGzCBLSi/fZQ84svwfTzsPx2mqNZFnlNjdRsXkVEciYpldXUPLmThMzj4kkFOfmFRDZuhKqqjov7 +WsIbthLRMVeQnPvokXqSAOT0JKSMDK6GWX5x1Mg6ap4VC18DW3MaEWoWkuz6gSqbqBEh0nJaOku dbK7Lr6IUFExWk0t+vChaNXH8Eid6NcPQXIiZm0dhrg3/P1JSEpU/uRhWWH93PMYMvQtNTnJUOX4 ZXmr2NfI8xHiFnIs2o/1zjsd5KZK740NtjOqCHNT2iKshnqIiFRjTgOTEjl2/wMkievDqFFo8+Zi vPoaVFSg+Tz4hg4l/48/o/wnP8dwD8PMOK7ZiouPI64uhw3PHyDnch+pA9q6mA76NPo0YQlE9zQ8 28X4XDdLkpLw3nszeluHyzx0CO+27VhLlqoOlpadgz57jv2Ls2ZhrViBJht1JkzA+sV/w003os2c aRfp4+LR+ufCgFx184hQiGMr9+MfcyGRpklxczEJFw360PFYUsOSLuL4cer/cnon+kOs+MMuxsdG qW5bfEwS298pZsTYU9u/KOi6Wj1m9+ROrhe1nvg7IZcH37e/0eVy15w5BP7xDFZUDOzdh7VkCa5N G9R1UtcK3/dlNRBupCSrx5Lmg9J3tc1KatJN3LoVq7YGbecuLCGsbdtsQpZuorit7i+Gunq7QC+E J42Iiy8mf9gw6p95Du2B++2DWb0GTRoUEklKZHjgIEZGOln/9T3CR6toePhvBJMz0bIHK2KU5kS/ rFwOr2ilqvgQ+edlOt26Po4+T1gJURrLd4YVYU34wjxWP/Uu0+6xxZ5xCQm09O9PxPxL1ckY+tl/ o0tda+JEtc7dCtjtai0mBk10V2KhKSftj36IJT5QBw6gtRGWFOwjYsNU1zcSGx8DDScx3+umYC0F 5KFzMmg8NJjozcuImjyP0o0m/iFB2yzvDMA8cgTXlKldLrPKy9Xz8N50HYF/vozx7W+gxcVhjh2H VWt7xVuvvkb44ouxZs7EddEFSkSryXhSUpu84q23YNUqW+Zw372qGWEtXAj798NNN9nzmaWlivRV XXCz+I71x3zi7+jFxUS6XGpu01y2gta/P6WaBxH/9T20K68EiRb/8RRafT1GMEj8//yAlhUrqXlr DcbcOzqeR1b/dEKhEKseK2RAUiUJ7am8Axy3hl6EA0fDagN0++hEQqybyIJB1K7cSPy0cfileyUd vLaOn3v6NPvEE+GlRFdjx6r0RGpJ7N2j9D4qgpEa0ZLFMHoM/Pa3WBIxoRFXV0rx2y+TNHggKQ1N lP5tPZnJujpRO/SIxcWYImisb1BRihYXi+Z2kxYZydptRQweNAb35nfIS+tHw/qduEJ22tkZIly1 9uxVx20ePoIl7p8CKajLz2LtLDKM1lashkZ1VbjZjzshHqvqGERHoUnEs3+/7YnV0oL7ga8SXPga +vLlUOsnNHUGVk0tmmwWWrcOUwjdMDAqK2DnTkhOPh4JVR1TBXvzlYW2ynLtWjRR1b+8AGvnLsjJ QvtgpX3s23eoCM0qLCI0YiStxQdo+rcvk1pQQOTN12GVlRF68D8wyytomTKduBH56oNB1b6k4Tph IqXLlpHx0L1EDhyFGRGNFRmjiH2kaXHk9feoWLOSpP45+DpLT9psjdvtjf0NKbzs7+S2epKm7MGq rvbH3UGuL6oIqa5cZySJkWCni0StIuaCnSFvBSmOd77d2aqcPxvQZyOsynpTLUsQxPo0fr2oiYx4 nehwNHlvPkGwpIj6devIFmGknIDBEFZhIdqtt2D99a+qNqNJlFAwHEuiivmX2rqsI8/ba+xF+S5R 2PgJdvozciSu736b+HUl1B+NJzInkj17d5N+21R0j6sjVdEiojCPlNjdM4nYVDFfxnFMBnmKCawr Iio6Au+BnVTt3oVnahbeKC96UoJ9QukaughZxXRw9Rp7+Pqdd+xuonoQjfDipeiSWsXEdrwe1qFD hH/8U0zpMObkYAzojya1Izn2cePssZYrLye4YwdWaqwiQYm2rKho2LYV9uzF/OeLqrtpRLfV5uLi lTpd7cx4+Lfo0mmNjrb98eX6RYtg4gQ0Ibd2PzFR0A8fjvbTn6jH9NbUUPfAgzB3ruoU6lmZ6KL1 Sk7iUHED2z84ogapk0dfxIBDu9XzS99egeeK+whsegdz5EzM3IKOD53UmdfQWNdEdaCCgTNTSUiP 7v4N8tRTZI7vgQV1D7C3PKQ2BrXvDmjHsUaxQD4unRcPf7E46gyR2u0u76SwlwmxGpNXN7Uqq29p Hsn9iv1yvySjw7v+XEWfJSz5Q985/bgSXVbTTx7kITYcJlQ+Avf116Dt2YO5bBn6/PmqMCwnDHv3 gjgdfPM/VDxtvfYq2uB8tIsu7FofWboU7bzzsF5+RXlmqcgiOZlB85LZ9EwpEfEppOV7aG4MEp3Y 9WXW09IwJnXq17chbeZMNjx9kOyM/mh1VURPbKAky8WwC06S4shjtq0d63JspokhbqntaZtctGAB nof+x+7WFRVhPvpXO5JsU/Xbd6LhKhhG6OsP4nr9DaxjVQQOHkZPTsElWjTxBIuOIpyXh0uWdLRt 1FGPPWEcumzEbh/hEZLcsR1tyiSQ0Z52SM1ryODjT6G+npb4ePR5czvqYtY/X0SbN4/8qCjyTZPQ mnUU7yijNiqZ+H79qIlKIDV/LGbeKIy3nyHy1T8SmHMH4YEjsbwRRMdFEc1A9r9RQvasICkD4s+Y A+npoLv9jOmnsp5tgyzauHiErws5iTTnjS2tHKoKExupc16+56QK/M7ovCyjL6DPEtbJoMZGXn4R 5lxE2l13YT31VIe9jD52DOE//gnj3+6zvbBmTEcrKFAdLUl/zMMlWG+/rbpfMu+m0rLkZJV2aU1F tkBTxj4siZoyiY6JZsfb+5h8ve3E2RNE99dpPNpEjDcCd90xmo4YtDYG8EV/9MKEdqjNYycY+yk9 1gkKeTMpBUsU70I+gYDdZLj2GtyWRdDnI/zEk3iGpGJKLamuFit3INqK91ThXWpGqqbVfv8pqfbr 0ImwzKZmjB4MTTe1tqiaoepsymjPddcdH0jXdVxTJzMopxT/D35EqH867iiLyrKjpGakEJ59Ky2j ZuJ64Te4lz+Pkd6fsnEXE587lOwBWTTvamH1yj1MujEfl+f4CR7qZUPBEm1dP8n+ABZRaUOr2TEw fyqYsnauD+GcIyyVvkyfgR4To5wFKtatI3XZchWtiJOA6iCq9MKy9VY5OUo4GvrTo+gzpqPfebtK lZRye9GbICM9Yi0jLg4vv6L8soZdmE3RG0fIGZBNa4VOc30rkbE9Sz/yJmay7uliYtIy0cwwqalp 7Fh6iPFXddNxFDPBbu7DkJGbj/pk1XT0GecRWrQY82gVrqgItFmz7NGb7dtxibhV7uLPf0Y2b5le L8a6bViEMevrVN0tFAhiRPnUzzL2w0mO55RwuYiV117sqCXCEp1bd4cbF4Nv4lgCixbRv7GMuqxy Dh1pJD0pG09aP4L3/RJtzwaqFj2Ot2g5x3KGY0T3R5t2Obnp+Wx5vpS4wRp5E7NVvShw6rLUWQ1D amGRPfMSq6hzlO69EnLu1TabmGGLaJkFlNSkoQH3oEHUi6ZHFc6xVe3PPQfz5sHmzTBzJubyd3CN HGEPHstqe/mS+lVTozpZZS2W9eQ/0GbPxnrkEeKzc0jcF8JXlMqIUJiG3ywhMs+OPLQdu+zaT1ab ilxqPp3GfOQTJDv2KBxpViez1+fFUxdDKBDuEiGcEqIr27Ub2tbYi0hW1Y5EUiBRjHwXQpPo5dJL CD3zHOawobat875CVfsS5b+7Xw6BPXtsDzDDwByRp35Xk0K+rA3ztxKOjsI1bhyWL0K9JqcLud9U SV3PP19JKrTaOtuPrDuMHIlblt7+8EekuxtIvTiDjav3461NICk5GaNgMjGNDfjym0nfsYOWYCmt b/2Y11auw0xPU86vr4abqGxpZmZOLv1TOw2SmxYlRiK5l07hbOjsieg5JUZXxBTp7VtR0sfBORNh yQ669cVB9KYQE2TBg8gLwmESC4az569/JVJOBjlhpQN4882En3kOQ8Zbjh5Vm5KRlGrQCVHO9u32 d3FRkI5iZgbaZZcRevFl4nfux/Kk4PF4aTbchGsN9Ph4tPJyzKnTbC3WSZCek8uS/17LpIG2zUpC QiIrn9vOzNtH9+i5ipD0Q29xGc2RoWV53p2taDQN/eLZ+O/9inKyMC652O4A+v2YL76E6ZXRn69g PfMMZk0tVlIyeloqrq99FWP+pQRfX0TovQ8wRo5QxGeI3XRbbctsaELvged8U20tVcuWEbVmLf7a WkJpaarrpyi9zf1B/LtC27dTtm0bWfIcpk1De/U1JlxxGUF/iPf/tpPBecM4WrqPodfPxXf15Xhb /fgf/h23+lvxzb0YXWyCTqbaD4YI/foxOAsIS8ptInquqAuzYnerIi/V5Y4y1KjZ6BwX3k4rwDoa OucAr50zhCX+R1KotBoDhIrz7HqTtOVLS0n84hcJl5Xh7jRqo+UPIrzwVQyZJWxqxmz1d7EiVu16 GZhuv73ICCRS2LMH17SpRP/3L1n+u52MmTCaYyUVeGd4SO2fgPnmYnVynAqiyxp9RQ7BTQ3qMd0e NxGBZOqrmolN7olfwUkgizPkeYseSjyvOsF15eXoIwrsOlRMDOZbi/Fvl64caM88gy7LOKqOqQjU 8+ADiqzU70X61N2Ft24juHotxjVXore9jlo3G3hUrar95+oapcGKqa4n4bqb7P1cMoJT1YQWCUG3 x/b/CgbQ6oPoNJEVG4914w32/QtxSZQcE8OMe4ax+pHHybtnOh6Ph9Da9dDcgu9bX1eSi8Djf8f1 u99j3HWHTd69AHlpLvXVuaNY12KqTeFFlWE1vaG1FeRrmkyqGk2uGHtmOp9nK84ZwjoVkgsKKPzT n8j/ylfUTKEpolCPB022JI8cSejlBRh+P8H//hUkxKNHRan2u3TbpO5itbTaJ+fWbfbnXWsLnvVr GOQqQ9tUQxYaVf8oJXVmDmzZijbuuOfTyZA5JJm9L6wmMdJuyw+IhvIVu4md3WmNWJsDQk8ga81O Bpk/1CN8aIPyCf/4JzBwIIGFr6tiu9bQgFVVhSWK+gMHMD5/N8bl820H0uXvoEX4cI0eQWDBa0rH pnRWL/xTDYdrZeUExeH0gw/QlrypHsuMirNDAtNEF02UaLskWqqvsdNrGUWSBSBqq49GuGi/SuX0 eC9WQoaq21m792E8/Fsl5g0/8n8YX/oCB5YtIzUqTIY0EOT22VmKYO3obziee79A8OnnCH/vh7hu vRn9xC6tyyCF009pPwmo16Wby12G3XlMirZ3Xfbv1CUUA8KnV3Vyom2D6XQJ+x40l4ucsjKa/vhH oqZORb/8MnW5tXgJvPKK3f6/4Hxc4RDapXZkoa6X2tB559kRg5xITz+DuWu3Gi/Rx4wma9AwDixu JDEhllB5EiRq6uRVBfqPOiZdwxffTPORA0THRNmCx/3FNDQWEZPUFrmITqyHMCUa6byQVepmkhqe sAjCmDiBsKRhRw4rRwUhr3B+vkplZWA5WHwQbeVqzB070EaNxDVlMuG/PobVGsCqryO8fiPGjPPs SErqURUV6EveJEQkbpqV86hRd4xAahYM6I+xdw/hUaNx/+KnqgUv0ZB6beX1rDqG/uyzmFu3od1z N5rLwPrjn7GGDoHB+SBdyJtvpPCRR4hOTiZ1ziWEPliNa8pElZZqyUm4Zk5X3mD6gFw8X/o8wTcX E/jrY+jFB/Fcf83x569peLFTr3ZbYflX9E+ftiJCBKhnwl6mL8KJsNogYsr6hASixClU3qxvvom1 di1hw43Z1GJbDItP+uEj6JaJVV6BuWkzmohJBVKMLirCuOF6zFWrMV9ZgMvtoWl9MymD8vCaXixP AuZFs3EtXID57jvovgjCojzHUvfdDsvrQ0+MJ6umjkO1legZOWqYOMVrUFYK0XkJamZP65SSfhS0 hHhCj/7FFrzKUo29ewjt2IUlDYDkZHSZBWxpVs6l+ogRuMeOwoyLIVheidVUqhZsyPMTV4jQg9/A uHQu4SVLsS44Hys6Bu/kiQTmXYY5YQLhtHS8s2YSFonD/f9pPz5ilWOPJqnvMTF4Fr2GVVdP4FcP weDB6oPjQ9xw+XzbhWLyJKz/fYiQvxVNZCa5OVjvrKC+pATrnrtJnznTVu5v2UTIsnBNPz6G5Lrw fMyycgLP/1Nt63FfeD6hhx9h41f/m0E5EcpCWwrd/3MwF89rjerDIdqrERelkZ1gqPqng7MD5xxh qfRn8GACP/8lnivn2yfwzp14p07F9ac/qS06XnEknTwZbcAA9FY/rF6FVbQfvWAYlviIS2E+NRX9 0nmY/3habYNRvuf1dfCr/1GmgNpVVyoXh8ryDWSPmoBVXcdRt0l8fBzWNddizLStfo2TLZmQpRHS pQymUFsZS5QMRlsW4coqaqLdJMS7YesWezRGGEBGcqSZIIUO6bINH95l2WuovBLPFz6P3klMqk7D 6mpM8avKSLf96KXzeecd6HfeoTy2rLvuUcRl7t1LSJ6jpKitzYRfeAn3/HlYHi/uvFyC8y4jnJGF 3tiItmsnwXAI19q1mDQRSslAb23BbAipUR+jGULSUZS5TIlwqo+JL4+d85wISc1lsYfge99Fe+kl VWvTvvMd2LWbWK+HI08+SWlMDJkyr9ivH8aSpYSefArX7bd23I2ekY778vk0L3sPX8iP62tfIeet 93nWNYYrpycqoTELGvn25V2V8asLe7Z842xIIw9VhdlXHqJ/sqEsn/sizjnCkpNEun+h91eqEZKO lGDtWmLvvJP6PXtIaVOPdxSny23bGYYUoMmSUOkcike5EM5118Chg3Y9STewrrzCbvvLstXsbCIT 3QSDIbU1prm+mfiP8peSyEmErFJ8TognZ/gwVj9RxOAc+/HiY5PYvn4XM+7Os4v+QkwnQpoJMrqz wXZdUA6pdXV2l1JcFzojJRnjP77e0T20RIcmnlpyKDNn4n72aYLf/6GqK5lxcWitLRhHK9X8oSkK +JRkgl97AGvsWHR/gFB1DcaiN9UsoTzv8KChWBWVGDHR0FArsSTBkWMwa+sJPf4kLvGYl/Eftcrs 1LINiXy0sKm+1ERCa4vSysVePIcIGbJOSIS8gcru2li5ivCf/2IX2UXKIfB4CZrgbWpS41Epl11I wd/fZW3hJNIS3JTVmqwtCtDot1QhW70FzJ5tWP6sh4xdBnztkig1kvb+3kDHxue81B5KYXoJzjnC Er5YvN2Py8jj/MNH0KSO4/OhHzmC95prqNiyhRS5kZCVFJz37lUqcZnFU0V4admXV9hkUVtL+OVX MC65ROm1BFLrEZKzfvgjVeMZur8Go/EtolwG9aEqCJSpk6qnkI5h7tREgqUh3B4Xuq6TntiP1361 jinRrcTWNOBNOKHrJZHQxBOKylu2nXpLtEg62tdrdYI2aSKeX/yU0PwrCCYloe3biyVRzxVX4L36 ClUTEsW87nITqG/Es38foehYjHffVdoql6SKH6zGqq5Snb9wbAKUV6INGYL+wFdBrH3aZBA9gRUd jWW02dz4AxzNysS7Zw8JIhMp3IclxoupqaqOaBQMI/j//gfXgw+geT00LXyLmPz+6LNnqEaKHh/H edeN54PXt1KaP4ZIjz2cPKb/8QhlyY7es3YmPtLWbQ0WD7Q+ir77zD7iE3HUbTPRWupVSiKK7UDF McKvLWbwRRdx8NFH6S+f1ufPUuJIlZYUFMCmzTBiOOF/voAhXazhwzHuudtOw9rR2KiGqMnJhvvv x1vZyOElLSSmJLBn/xbS/attR9DTQNbwZNYX7iXdHIDX5yEuIYZJEydhrapi3ytHOXhsJzM/N5KY pFNIHjof4+li3DiMVxdg3nU3ofzBuObNxfO52wk+/Iiyl5aoMvzMs3h27yKUkY1n5z5CI4ZgLV2G fsVlqvAd/mAVnio7UrWys/C9v5xwVCzGc8+itfTcI14Tfy2JigcO5MjTz+BrbCBFhrzFtnpfIeFl 72BMnmTb/sTH437wfsJ/ewxz+AiiL5+jCvUSebquusK2CIqPZ8LoJP65dD333TBVpYaydFccE26Y HHHKHbafJcJn6XF90jjnCEuysYkD3Ww6GCQvNZaEKF1tlHPf9wXM/cWES8uwtm3D/PWv0YWobrgB /vM7cO+9SjluPvY4+tfuV/sLFcRGZeNGNFnCKp0tcRMVPyZ/K9afHyUyNYOIzXX4cnLx7dgOnkIQ r3QrrFIwUy07tdNAWQhhDwKixmWM6iooK0cLhxnXUMfhdxbjikzoGOQ19m8ndexMkvsPoOh1sVM+ hhnZSt6UdBLSu3E7/Tiv24TxuH7/O8zH/4H7C59TUalbOnCvL8IU6YAQ+NhxuBobCI8ZBuLe6vOg vfQiTJqM+5LZ+F9agLuuFuNgkZhKq/TULzlaVjbBW25XtTszIVFJRLRJk/Dcc9eHu53+FuVsITXE mEvmcGTBApJvv922wJGoS2ph766wo0XpJkZFKRubQxUB8oXopL4nWrQNG9RjSP3S5/Nx49UDWffq MiKvnsX8MT41p7f5YJAth0PsrwzTT2yCjr8aXbxoAnVNXFS3gWA3Z1O4xc+q7GmEIqPVb7lkY2ub OFRGbOT9KJ3IzpA6lM8tm310giGLY02W6lzGRWi0j0BKyjoy55w7fc89whLIG2XCADeLtvgZkGKn I9n+SrxFxVBSgvuee2jdu5fIzCysl16CESPQxCdqzBi0qCi1RqsDoh0aVtDhPKqWqMpJ4/OqjTue AQOoGzGcmH4DqKgEM7Ledito1wt1Oq7Ob1upByEE16aIlz9Uzs1htr9aSmpMplog4V74J5vsNI2M nLblr5bFnlcOE3AdJmtUAkn9Y4hPO4nFyqkgKbHYG/fv37F/Uc1SHi4hvG4DrvhYTE0n+MEq9H17 cX3+bsIRUYSffQ7LcKHn9kdfswlznL3Jx7rtNvSSMsLvvaees/61L2C+tQR3dqY91yebhCoqMMRJ dGB/AoVCal1hhcKYbp9SvctrFT9sGHVNTdT86n+IF/lFXDzuqZPV31Bttd5XSN3mXdSPnsyx1Ahy 316uOoRqMkHISyQmkyerep9b15k2yM2avy+k9tLZFAyJZ/wAt/raWBygZEsx8/JNXCKncHc9bayK eoie3vV90f533LSFC0bFn1baK8LQcbke4iO1jpV1svm6oNPi13MV5/QrYOgaQzNdKvrwP/Me7iIO acEAACAASURBVFtuVP5QmUdKOPTsc/SbNhVNvJ8kDZkzRzlrKi8s8XjXNMx3VhB68RXcl82zUxD5 VBcfLdEv3X6b2hFIXS3pSx6n4pJ/o7m+hbC7h6lZ1w9xBZfbYOTlmXzwxF4GDxjabfFeyGvAkDbF fhMUvlrKofItTCqtIz1sdiHIk0KK72KbM/sirNffUEVsZWyoaXhuuZHg//sVUpMOL12OdugQhnjK ix/Y9PNUEd/83e8x6+sJDxuELuaF6el4li6BO263O4LFPtv/veoY5uq1qrivi/vpxEmEZJ5ww3qY e4K5nqCxkbBl4ZZB6zb0nzCBIl0nvPA1UsSiJjFJpYeW6MSqq4m7Yg4bH36N6f9+Fe686arZ4po1 Q00lmGPHEn7lFdzXXgtSc5sxg8mJOyjdvo7XaiYxf3KceolHtxQxdpCpiNv/l8cwRo3AJbY5nUlI FmlI40Iua2vkWK1+zJISjLE9G6ly8NE4pwlL09sYQbpPkjLJm87rRTt8mPhRIwlu3ITnzjvglQWY O3dhbt6Ka8Z58NTT8OC/o8++CM9VV6qOlfXcc2q/n8gh1EowcciUEZJdu0ipqiXu2X9j2GWXYK7e 18OD05TE4EQYboNJN+Wx5om9jIrq5DN1EuTkZZI9MAP+voJdr1bSkutn0lWnsLsJBLF+8Qu4/Q5V 39Guvgpr5Uo0KeJ7vVjL31FOF4E3FmMcOawuCy5dhcsEVyiEu7yM4NxL1GsUNlxo/lZcX7gb/+59 6E8+iXHTTVgfvE9oydu2IFf83eXPMGki2sCB6E8ctrlatG/dvSwHDmIlJ3S5LG/cOGqfe46SZ54h 6wc/sC8UR1Xx4l+5iplfvJgDb6wiOzsGj6TymzfTkpnJBw8/zIibbqLm0UcZdv31IDKOykoyr7qU 6I07eek5nYv7tRIdakEbmKvWqnnvG6i0Y+ENmwgXFuG+/FI7Gt2z247cpHspTRgJUjdvUWNaDs4c zlnCkqJlcieDNX14AWZpGboUy7OziWppobylhaxQmPB776MNH47rvi/ZG6GHDLG7i9KNE5KTTuLV V9vtcxFGyqjOmrV2OjV8OJ49e/AUDIT7vkhrXT2aSCWOiWD0eBDVESu1/yD3KydCNxBvrIm39efo /3uLYxX7CYSj8bkiSc9JVQr57qIuw+0iLS2dqmAMx47Uk5TdDdlJdLBmNdqPfnS8RieK8SlT7JNZ UjHxsRcl/+ESXPd+ntAPfgSZCUqCoW3ciCWRVkwMITEKFOJLSyP08kLcMdG2bfOiN5QOTRcpw7vv 2or45CQ0l24To8wK1teqTTytg4baI0BtX+EaP4ZqLHz4Oca7PaoGWPL446QaHozRI7C2bEG/6CIl KRmYHUlwxTtw953UHjzIkVcWcMGPfoTh8RBTWsqWxx6jICkZl2xJ2r6DmOQYrnp/IXvf2MGAm6/B J3KW9tczLhZj0gSMcWPU0lmztBQ9MRFDbtM2EN/U1ERAXFvl71F7fDlgbGys6vQ6+NdwzhKWzFjJ PFbxUduets7IIm/lu0REbcMVDuBqaCB240YCXh9eSXUmTcQqPqCEo7pszpG19hKVieYqKgZN3pSy Gv7gITuFkrqPCEClEC/k1D/3+NCvzBK21bBOKjOQ9EJqLCdBZJyPrPw4+s1LVYsbZHnrtmWbMevc ZGZlolkGUdGRanBaPY4ZwrP+LTLjUihfUUbMeSl4pLLbjrpae/6v8ijW0rc7LraEoMUbXtxoRKia kW5LPbZsx1y1Cl2WsQ4drObzZC5QCF2iJvfgfALXXotZfBA9HFSGgpYsnHB7cR3YT0BSt5nno48f qwwEg6+9oeyotdg4tJxsDEmnd+3EyhtkG/s1NWHIa2qGsY4eJTD9fKzkJFrKK9Fr69GqK5UmLOb1 N9G+8Q3YV4R+zVV2pLp9B1pCAp6v3EfD//2B/c2NjJo1SxGZuW07kSlpDLtjAhsfeojx6RkYNdVq tVvRvv24Ioey+bdPMWT3XlyzphORno5L5h3lfmXMaOJ4tLIsSlbuIPG2u4msqaT1iSfZ3xhB5sgZ mMtLjr/G1RWUuCtJndy+2RtC/iAL0i/En3B81nPr4ZB6X4rMoh1SmN94MHiyasEJ76XjP2Ul6H1K qX/OEpa8AWIjdHUiitVsv+Qk9OFXEl65GqZNsbfozJpF4Pe/x7tjJ1ZGhlo2oU+ZjPWTn4L4oZsW 2qBBmJs2oclOvylTlG2ywrChyupXulnalq3w05+c3gFaltoV2NPP4qTsOM6/Y6x6PmbYJBw0Wf/6 Lg6vryEzI5uhUr+KiIW4JFJjEzlyoISBWZ2GpyWi+/wX1IJW7e7PdVzchVB//nPlgKCVlKCvX4fW 6ic0fATaviJYux73t74BMqokDYpQCCNvAFa/fsqmxjvnIttaJz6eUG09visvw794maoLShHfc+Es eyh8UJ7aVhScMx/9wEFVE9SLCwmnZqLnZGEIAWdkYMRF0XToAGvcblJGD0U7ls6QvHwlGQmVlRP6 /g8xfvwztKuuwNi8Cffvf4c/GOTwkUOMGlaAa8J4zIceJlxQgPvSuXj8fiaPGMGW7dsZceGFbFqz nrhJXyJl3WIyknPRF3xAc6HJrsVP4J4ymrFPPm6/JiIQfvi35Bg6wZKDhEJh9IkTia+KJmLnGvzj LyZwge0uYR7aR6t7O95bru54ST11ddwkTiBpxwv2b2zxMy3/eNH942DF7t6h1O8pzlnCEkhkLgrh 4xMhOsgJ0VbMlnVRZfn5yi7Yff11x32HZFO07NqT23rc6NdfhylF5P1RmIuXoCclog0dipWQoO7K yh+EJtGSeMefBsKvvWEvvlAPCroo0N0SpdifmPquneBvIRyfiD3fbyl3UNWFA6bJjUZbNNYUUVNe TMTE2VjZ+fbvNuWxO7mJodNzYO06u8uZlnpqFb50QL/+dSW1MN9biau1HOPIIazBQwi+8SakpuC+ /6tKNhD6+n8oVwePpITJSYQ2b8YtqeSoUXjEyTU6Gu+Pf0jrT39hK/PLSmCDCe+/h1bfgNVQh+b3 o9fXIqJtT2UpIZFWREdiDRqEtX8/EekZzG5uxhg4kFB0Ocbk8YT3H0CbPxfvnbfC7j1YeXnUeD0c vOY6KvrlMOehhzCSkzBfelk1StyjR6pmidS6RMIy9KLZVH3zP2muCpL9wAME0gdg7VmHnjsclzcC 49qfcaSqiqOzLmXWvbfjFWnELbfg/8UvsRqb0eS5v7SQZrzsv/1XeKrLad65Fd0F3qMlZAz76G6h 19Vu4dw3x2s+Ds5pwuoOWqfVUFL7SbnkEkKPPIJLNhKLkZ+sXg8GVRqm2v6SHqjRD01FZ67bblU1 DlV/OnQIxH1AVmCteBcam1RBX0UzH3kgGu47bu1Q0LdDuXJefLH62bzuBgqf+YDIiiNk3jrHHh7u xq1TRA3iyX5sx0ZimxsIjppORGwStRVl+Lft5v+zdx5wUtVX3//eMjPbe++wwNJ7EQQs2CJgL9FE Y0wx0Wg08YnRJ9WYbtQ0W+yx9wpWRAEp0llgKbssy/bed8ot7+f87y4tFpJHkzfAyWeDuzs7c+fO 3DOn/Epg6BDIzf3YmdnekJZPJJQl4TU24giOLC9fbU1NsRC7626s4mKcri5MSVyPPIKTlY3ZUI+9 Ywe2tFCCOxszRiHxI08/iyGmFuEwzuzjlFKE85e/EnngIcXhFES7GxOLGQgQ1k30xYuxe7uwUzOg pZceugmVjCR9Zzn21GMwpTJcvlJVWZpockVFqWowPhJm+HXXMq62VokrapMmoMlx7q5CF6S9EK+l 7TcMfDt3EnfGmbi/vws3HMSNjiM8dt9rEFVbz7FxW0gOfJcNf/oLo4ePwPnudQrQaibGY/X2Ep2X TWx1NbOP1dByJsFQ70OiZ1c8hlCmPiVio3SC1n+X5vy/K47ohCX2Xx29DnyC+4iZlUV1VxeD+iVn VDz8CFz0ReVM7P72t2gXX4yelYkuSp0y75GLsq8P98MPsZd9gCHzoUsuQZ8/H62tA554Aj7wfPo+ 9m3p2GiSRBSwVEIQhua+9bmwbV7eQ46TQcTWqKlzyRv98VtDnxshNOsYeuNGE7P8VSKzzyPXDbF+ YRWTfzT+U1h8A4ewdwqHI2oLxUVYS9ZgnDYb45GH1e8jryxQdvTiv6h95ypvo1pXhzF5ElZDE25C EuaMGUQWvoEmLtMF+Vgyk3rkMfwCT9BNnOhYzM0bIS4RNy8PR0QDd4suVqzSxqKlBz05ihgzjtiR wzHGjMEVBPvBkZHhbTYrK4kWk9e4OLSFr2NtKFWzM0G7O9+4wmtFZb62bRtaejqxM6YzbeIkuh94 DXv2eV6idl30rjZyK5ZTXzABs/YFCrZuYfONNzGqpYlQYyuhcaMIZqQSbmslWgjaCYk4loUlctwy lmxqwpCZYP/CRb3MnV20O1G4Mfug6/KezEs+Opj/qDiiE9Yhha7j8/uV6WpAqi9xkJE3vlQaQngW dPWChbgy17lUiLb9rq2iRPDVr8LSD4hsL1fAxL65Z+Akp2L89CYYN1bd/ccW/TKsv+tuRcqmvEKR knXh0IkNfHsH7tKlpLbHEeePJTTtC3TujmFXsIHBU/q14j8iiqdms3hhOeMLRuBf/SZOVhG50+dR vqqOYTNyP/VUiEehoO7VUV90EfoPr8cn1aaQvsX27LTTFKLd+vNfiYQi+LZtU+oNdk4uhs+H7/Zb VaIK/vK3+M+Yhz5lEpx9Dvozz2P0deO88poHxI2EsUePx6ivQyvbjEYckZJRmM2NGC09WIkBBb9Q JrSzZnlVrpLp+YiQmVx+Pu6HqxXsRJyR/Lm5RBa8gfXXOzHOPgs+/FC1qMpcRCg+UknlZRCOrqdl 5dvETjmBqLf+Tmj6PEIzziDngR8TfvsZEhsbaCsqojG/gNhf/5q4Y6YRU7ZNCTyy/AOYMJ6mpUtJ SEnB9PmIHTwYs3jIAcDTruhkOtxoUvdTVxDD1c8qQpHDq1I7mrD+4YwchGKW/xPSsGhJyRt/6xa0 733PG4B1dyl4Q/jmW9SshHfeRS8sVJ6AekG+2oyZZ8zF7u0hsmY9gau+ReSpZw9NfFuwYUKSFheZ 1DS00aM892IhIJ98MlpvL1nnXMCO57aQbUNMbAydNRY7rBqGTt8v+UiCa2pWaqF62RZmT0pn59v1 5IbaCE85VTkH1Ze1H1LCOuC4167F+Z8blMqCDMlJiEe78EI15zKOPw6tugZr924lO20ItWBw8b7n 5fd5G0ZJFj4To6UJXfh/qSlKFdTNyEJvaVJCgqRkKFVTwiHcliavwpL76OnE7ulEFzqTqFt8gp2Y 7diY6em4S5agXXC+qlBN18IeVoLdF8RIS4c91SBejvu9DxImj6Rj4VoiazTcU7/iKWjIw3e2kdK4 k5aCsUzdsQt9xjFETT/GEx8UV22RwBaYi1RVAsKNj8fXbyX3D2E6xESE36od0BJ+VuMrl8MrjuiE JY669R2f/pLagQC2oLllLrKrwptZKdmHt+CdRei1e3Ck2hIZmWlTCW3djtHRiSHCcVXVWIEY3B07 CYguurSNn1EEYnyUzMmi/LFSEosdEhIT6Kh3qdlYR47RirZ+g+IhyZDelce2LPzx0bjJFr0diUSt W0Ro/D5vQQlr955De1MIkl0oSE88rkBthiwZnn1WnQNn2Qdqlua+9ArWuecqR2ypnCJ3/EklFv9x s4jUNWCtXoMhFZu4/NTWKdS8Tza04gXZ3Iz2yCO43T0KPa9X7tq7znfT0nHi4ohUt2C0teFPSMDd UY77yito1bWeeaiyHYt4ldj2HQoKoQsC/plnlWiizLDEW9JesQpGjwTRORuQ/hF0/pat2FvKyP3C JLb7RhDdaxMV7Z0ZW0xcpXjraCAYFUuUgEWV+KCrtppCkFczwUOMw0zF+HONIzphyXYwcvCcWSqn /RY0MngXoJ82dqxSuGRnOe4tv1Src7OnG6tiF256FkZTJ1pRJvp130X7wU24f7wVa9AQHNOn6ClG RbVa4SO6TZ9hiPzMkDmprNlWSWFOHqmtVUReeJnOMakkluTCGfO9p3L330AG5IMHM2rwYNY+X0lh Vw+aFcEN6cp5RqR5DzX0NSsx1qzESkxRCVHfvg2+ermiMbk9XUROm6fswgSywLLlaCImOKwE39RJ inDM2+9g9fTi5mRjzDgG56GHcWJjMe78C/7YWML33o9ZPBh3zRrstR/iFBXjJiRCaxvaTs8cwxeX hCHQh5RkNTPUQmG0zAzcnFwQ6kx/uLJ5FJu2ggKFlzNefoXIY49jCgrfsXGWLsEyfQSk+pKE9PSz aJMneouDd99l+PG5vPmXtYwePk5ht6yJJxIZMhHqKjFDvbh9sTjhMLpU2bIt3n/e+Skh7y/rSJVe +BfiiE5YHxnCG9wvY6lNoVRFotwgm0Ehv15zDT4xSrjrbnxfuZTQdddjRcfgq6wgeNp8tO4ujOxc nF07MWIS0Ho71X25m7d4n7yf4ppzSCHk6v6tnmnqjI/bxJ6lq8jobEUbP50aI57QmCF4lGg8DqTw +KSFAkZOi2XLqx0M2vAew0Ycw5Y3ahg3Lx9Xjk2+DiL4HhzO8FHYMl+KRFTLZ2vi4OIoeWdcDb18 p5oLGWfOw1qyFJKSCVz5TfWBEH7uRZyGRgVEdefOJbJ8lYIE+K+6EmftOvTZs/B//atEmhpxRJLa MPEtXoR77bVEXnzBa3PiktC625Uvov/003HffEeh7ZVufUuzckMaiGDEIiDM84F2v7kJQ8jWv/ql Wg7ohqEew/nRj9FlNnfWGco5SL1mgrXr7ubEb45j9VO7KMweDDnFdN/8HFpfN8auUqgpx125hZQE DU44sGL9T0f4M3ir/f8UR3TCivFrdAVdlm2PoGmuSlHxlb2Mbv7ggHmNLlXUM8/iSPUl1u5iSipt Q2OjUr80vvkNwk88jRHlJ9DXhV3lbbTcvCL06sb+VibWc5I2A1jvLlaaWeJUo4bMogAhc579LN6V dbxQVSSBioyxSANPn65mV85rC3AFCPr66zjSkmZm4h89iqKT8tnaMI0s1yRn5wban2ikeZBGWkGi Z/4qIK1+6y0xgyrM6qR9XSdpu+7DGDyO7b9dRXFLM+6NN6pWSevpxk1KQp81C3fCeNVe6bJgEGOJ E07EvPZqpcygElOttwmz7r0Ps2YP7o4ynLxC7FdfQ5fqp74eKzNdIcuFY+cr3YiTnoGRn4cbieBM m6qOUT/3HM8cY9UqfFd8g4gg3cX8QzBtp3+BwPXf33eetm2Hhx6CN95Ek/nRrkq1GWwq3UTyZZej 9/ZAbzcxiSk4BYXY13xHbUOdmFicnDyvKpw6DSJhpVAaycxRXMOBZCWhjRyh5oDm9OmMP6eAra/W khufhH/zBzjRcegtdapFDN35FPVfv4is40cc8B5L/BRLMWlfBcFe1bKv1N9cY5GbvA9e838J9zBr N4/ohBXl0/jC2APfGLYbC0PGHuAmE1y8mKjzz/Ns7MWPr7nZSzTHH4dz8cVYmbkEwn3YklwsG01o OE0tuKKznhYHzb1oIp2QlYVRXasI0uYsBev8yFCPbNvYMiwXBYLubvS334ZTTt7ngVhWhr1qNZog 7gV3dNZZmLrO0O4wm//2IflFo4jOHkRNfR3+oQkEtm73lAxko9YfSaafyuXVJCWm4Qv34kseRpfl IzEQwNmyBV9BHvbiReiijS4D8oHYWobT2Y12xRX76EZ79qjhuyYzom2bIT5JJVu9pRmnshJ39BiM W36BNXwU5vYy3BEj8d1xm0pE9k3/i9PYjDNlMnp/smLsODXA1ieMI/K9H6AtXIBx3rnKpch7oWyV rJ3GBvyia9/VgztpoiKbJ9/xZwy5UvsrKqkCxXRCJSv5CkQrjXfRsLf+dj9Geir6qaeivf0uzrYd GPvPGeV8CfezqoqojAzyp8dT+0E3RX3dwkQneM7V6F2tRC16ivKOPKIbekjMjFV/6nR00PHqq2QJ 7uwTYlqxn6zEfe83wxDJoE/8kyM2juiE9ZHxEcRUaaL2Ipxk9S3WX9OnK+MH4YL5StdhDxuhVAwE oGnFJ6L7A2pNbp98CtZTTyvysVwwajB7qJbuwkU8OJ58Um0NBeNlXPYVD/e18HVckUeRQTwwIbeZ qnfWkpycwCCg9rUGctNbPVdmISX3h3Pn3Yx95nGs3giR1GxibnubvspOIjmFJLX1EUoPKyqPWV19 SJbzvPKcGo67oiJRVIQTCmGIKYXgq5Yvx8kvwKwox05Jw//tK5T8siiAivS0c9+DKgHZW7di/OB6 dZ/2tu2Ev/ZNTBzCYjvW2IJPPA/FgVt4gG+/rSATCvgpfo+iYS9buehonKoGwtMmYdbXevgrGcyX b0PVMZqOXd8Et/8R84b/AXHh6erCP/c0Qnfdq+AWir84EFKVSlXd00PaiBFKQLHzhRqi5h3vbQ41 Ha2jlYKUBCre6WDMmTrd997Nnro6ii/9CuZBm+ej8a/H0TN5KKHkQ7Z5sAK5INra0FvbPGuvtDS0 H/8vPtPEeeMN7NWlmGLYIK4Eu8tx168jdtd2Je7milRvXwj9I4TePjFEdvm993BFfVTaK+EszjnR S661tV7bMtbDdamoqyOrYBDbdiaQnZZHivzonafJ2FVH0rEHfnS79TXqTaBbYfjDt7EDYpYRo9xu DMdSxhPdy9ZS+mA5MQkdjE1o9dD6/eDVvWFZOLf8Sums61LHbFqPnZ6NGxOlsFuCTRJVVnvIULWd C/32Vvyi1DByJE5GBuaV38KXmoTd3klEjGvHjsEW+k96KpHFS3BNH2ZONtaIkRi5OcoN2jz1FDpb W/FL2yXn/MNVaGnpuO3tnmN2OOi1hTK76++NJA05rY04mRmYP/uJBwotKVEEaaXtX1Cg5JzNE47b 99xKhkN9nfpQ0DZsIDkzC+t/v0Fkaa1XDes67pBx0FiN2dPJ7ucayP7KVxgpGLCKSv6ToQk17FN8 T/6b4mjCOiiU7ZRw22SdLoLeQj+pqaGvu1sx9dVtJk7ypFbENeauvyp1AXnj662tBITc++oCNWi3 C4vRd+7EXrsO8+Q5MHgQVFbhPvc8zqqVaAnxEBXtYazkE10uvIF3ljxu6Wb0ha97Vl6nnKpW8aK7 5KakeCRkoQrJ8YqKgfxMkqkkNxHa8+sMmhFP+dsV5Mr2MNRDz2PLiUuOwRzrOe3IPEw9WnomZlMD +tIF9BUUEz98IuGSaQT6vEG1XVnPoCgTY0cD2/MTGTxuAqx/xLvIB6K2FlcSe3cH4ZRMjECMAnaG pU2M2OiF+did3ejCfaysxJwwDvvFlzDGjVOVlSEJfdo0jMIC7NJSwo8/gf+0U3CFe7h9O321TYQr q9C3lOEMH4a/ZKgC0zrxCRhS7Yr5R3k5veJQbdvKB1Ff96GqaqWqckWSOSPbM7/1+XFEmHFAgE+s z2SLuGMH+uSJqtU+IHKyQSAT06bhrtsAgwaTMTaPPYtX0NdeQrIBztRT6VjyNOb8qRSLDlp/hPZU s87NVeqssgyUl3d/BSABdo7O8x0kv+9ykGryvxyGLmMOF/MwyVhHE9ZHhbRX4lcoGlAzppMtLYdY gqUIyRhPE/zD1cqkQsjJTZ2dxK9bR/vmUtILC7FGj8Roa0fr6MJtb8a5/Q6cigq0OSfg3v5njEu+ hDbKG85qQtUQtYeMDFyp2qTq6JckNocM9qSDZU0+gMJ+9VUcwfqISsD3rlOzNFeoPuvXo23bhivV gMgD9/QSn5XJyHWr2bNlPCmN1USPP5aGWx8h/eZr8Eebis7i5uajdffgxiUQScxW1ZH+9O0ET7+c 8JKXiG+oJqbAj/6NSRhZhYRueYmN75cxQmZNAicYiMWLMWWQ/vobWA89irF0lQJs6qeephKycffd qoUWLqBe5LV0nHAi9k9vVtWL89XLMETeJjcHQzTF8nJxnnoG4+IL6dlTjz64SEn36NdchT5qFM5j jxLesB6ffLhceAHu5ElKVkbv7cVdNhO3pxMnMxf6enE6I5ixGm6wF2PJKtVC2n8Veen9QhL+uHEY MhuUD4tt29FFynogxJBEAMRtrV5yE3HEApPyzC66K1wSXJuWugqmzLjKu70k7/few2eYTMt30aL9 SjKms89hXMGBCergEAOMaP9Ras5HxdGEdXBIxTJvnvdvVxfahAmw+D3q7rhj7/ZIPpezRSY5Nxd7 8xaSvnMVxuWXk33FFd7cadMmgk8/TdTDj6ClpBGu2qOMLs1dleiai5uYqEi9kni0hx/G+NJFcNxx nurpwoXwhS+oN7y2YAGIEqaAIGWALwlr3FglSid68eqiEIzY3HneQP6dd7zfiTaXwC5EIdP0kTvv bGqu/gOJRaOI2b2NFdsSmXHpMFwxg63x1CAkEfu7OxVkQC4VJyaO3ulnsKdhN8XUom3djFXeQsrV M4jJG05XlI9o4QnKAkAu9opy3PHj0K0IZmoSOj04/nhY8BrGU4+px7AKhqDFFuFU7cFubcMnEsIy 9zv1VPzBPvTvXYsr5+zGG9BlE9rcjP3QI17Vs3gV/r/8hsCpJ6nk3ff8C1jdvbQXFJEkpqpieFtZ SdRXvkLQ9BFMSkUXeEZnG9qwEcoURBD2nwghl6VKcTHGyg+JvPsegSHFe6swNzoGFixAEzfrAdT6 zJkMLi9nd5SNXbGZwVf8gfZb7yb1tp97EtOyoKmr//jHOxr/dBxNWAeHVA4Hn6S4ONLmz8NNSCBW UNmyOXzxZZyzziAQCnmf8gND2pgYzClTcDZuRD//fMWP89XXYq9cpbBJqqKJjlaf3vLlPP2UN7gd UIkQf0C5cKS9Ewnhf+bV/JgVdnTNLjJiW6hvaiYrKoqhRSWUvlrN0KCl4A3SMg2gzwbuJvDKPYSv /xtZd1xDX0YiPmLRMhKwG7uISmrBjS5i804fQzMC+IVCJBXkxk1KpA+Rh1Enzoere5QZ1YI/ggAA IABJREFUeR6+qp1qo6pQ8FFRShww8MyThB56lMjatfgeeFBRdJzLLoOKSlzdwElPx9ixE/+dv8P8 5teUTnr4l7/B6OpUs8Dsykrs+lqcYIhIxS6sF14k0NGGTxLN8BLMbZ4zkW1Z6MEg1rnn4co2V+g4 V13xjycrPh7jzPnYDzysqDaCvXP3VHtzLUmuoiYr8zt5ndLSsF98mZyIxdZBQ0mOz8BXcDzBn/yc qB/f5L2OR+MzjaMJ66BwReny4H4/JYUYqSLkq//iCyQleiTXj9os6joxJ5xAdzhM3PIVWHLxySZp yhTMRx/D2c8jUNQBhJP4kfERCGhp4z4uibmuc+DvLBu3vBzefJOYgkLi88P0lYXVnC4jIZfm8hAi hKzW/YnJHiq/pdE7rsYqYu/8Pk5PO26LjpMai9ZYR2DYCNzta2HyqeSlJLO7I4b8+x/DP2083UNH YRUPw9ywlZgN67ETEpXCqBMJo/d2q2PTwyF1IZvl1bhD8rC/cw2uPxpt0CDsdetxn38BxzBxO7tw BNVeW4tRVABFhUoFw37kUcXJtKRKu/q74hmkZnYkpeDrC+LfUoabkYne3YX7wVoPzJrlR6+v8eZY ouklVKVPktIR+Mlpp2C9+Ra+eafjlpVhXnSBt90VEcMlS0AUJx55VHEZ/QnxjC3oZHPFSpKGz2DX onIy3ltC6ikn8Z8OU2ZY9mdLqP5PxhGfsCxH8oKrwN0egjqZODEwkGml8AO7upR3ntbYhosPnzEw yNTURSWgSCUBI2tvUS6QmVJzs2pHamtqGZaaglFdjb1mDZHZs7AHFaPLrEnmTJIsWlvVkNc1/arS 0gX8uGadN/AX8T7BAHV2ehiwxiYlRyLDfYVYF5kS0eeS/25oVMejAKKSdHt61MxH5FnIyVHYo7QE 6I7ro3nzahJ9OrF6BIcY7FgfxMShd3VCQrIqMu2YRBzZsMUnY4aDWC0RGDkOX3sLbn4RTbW1ZKVl k2FHYOUquvKLiKuvAsMmIgp03/iGIoxLNSnUHYWMl+OSN11eDhGBGogyqFRjhWnojz2KJlIyOTkK B9X75iJ8Qh6fMglrTzXuho3YTz+DVlhI+O+Pea23INol+Uhy0g010JfnK8YXNNZj5RRAbRVO0mC0 3h4lBuh2dqAlJaPX1cJDD6t5nyMLjIFVmjx5WaDI1rMvhPXFi2H2cbjr13ta7FV7CF91DZoQqo+b jZOUTGTdeqVLP2rcWGoXLiN1ztfYePcvmBobg5GRwyurglh+aO52lJ/tlpp98POPkjteX2VR1y4S yR9fX1uOq+zADoyD702jocPhuOFHJZIPi5BtzN8/CDIi21T+hJKI9Mxs3FC7hzCfMlmpUT4bPY05 ZoDNG7tIiNaYOtjHssRxzOwLedWV4KJ6epTZgv+8sz3cT1wcQ77+NazjZuOfOBEZozuSFftbP0M2 g/L2amtFl3mYrI4GFYIM2tUvUP567jPPqIrDefElTxDwS1/Cam2Hn/4ETdDwqamYuTlq+K82nL/6 tQJlqoQn+KftO9Qq3j3zbNyuLuJOPpZA2XtU+SaSMX0uLed9l+qWKiacNVRBEyJS8axajRWxiJz8 JaI/eInQSRdjFY2mJexSdN4wZZqaf+tthFs3Em41cL53F1YgDvu6i9B8OqZsUBMSPOszWSKEQopw 7JNFgyRenw9TeIOjRmALAHTlSpzqVpUoBDLixtcSlZuF60Swd+/B99TjygYsKBXXunUekHbTRuzr vo9x912KFCpVnNtYjylMANHAEmaB42IfMxO9bKvSntdjYiE6RqH3JUmFbv8Thiib7ipXgFL1N/Rg /va3ajOrJyShHTMNbcpENKHcmCaWqG20d2J88+s45RUYV31bSeeoRNfdTfawTdQ+cBcjr7yVlif/ RMpJI5h7won44g69PYwNhJk+1PepEsm+Q1glvrkpxOEUR3yFlZmgc8yQ/bc28mk0wMDzojWqh2rd T3SOi6vDmm6N1igbM3Pfm1ATYT1x0ZEWbyDEMkxQ8f0/U9LFhflq6KwXet6Bblm650wj8sQCjxgY 6LourjjR+Ezs517E2LwRW1oaEQMU5YL2Pgx6va3b1Elo4ugjfyvtikilnH+eEgk0zj8PW+g0ixaj X/5VzEkT8MW/R3LxBJoeX0ZiwXB6HAdd5lAy6A/2YXa2qGPVlrxAqGQSZksdTDmF5EA0W59Yy4iZ 6eh1dSROz6cn2Eid6yclI1e1oI5tobfLNq1Ffa9MKpo9H0G3OgFDdN+ffgZXuJayjauuxIiNxp00 Ek0oPUJL8vmx7R6cpBS1oDAffFCBSA1JVrGxqqqhqRv9j7djJyWj9ThqqK4gDLI40L1troA/ne4e 5dDj1uyGiZPQBC2/axfGk0/hSEXZj36X29upktDSMOLi0YVD2FCv4Cu64LSWryBc36gcuv03/wxG jlAu4Mr1W6zd5MNCHHHsCOmjkyhtqCN3/tVs/fstJE2Zw9BE7Z8i5UsyOpSEdKTFEZ2wDoVmJZ2C lOZSVe0fwUMQRpOheVdXlwJusj8JWfSj9o/9LKQOCMPAzivAkQtNqitRI3jpZUxJUvtTtAXm8JOf wgnH424qRfvhDfvuIykJ4+KLsEMR+OMfcaSMbGklPS+P+PI9uMufY1hHG/Z7SWhWGK25BTc2HqOn i6i67TidTWj+AL5dpbhRMQw2A4TfbMYcWqSqqDh/LdlRO2l9fRlRmYMIbF+1T/teWrNuSx2nkZ0D ro3729/j+v2eykNdPb7OdiITp6CLpX1BPk5tvQfgbG1FGzcCv8/A+dt92EOG4cbEefikMaOJxMaj Nzcp4K5UkYbgvQY2nCnJ6J3lOFJV1ddhp2eg64U4GZkYEyeinXce9qAhyhRWaXnt3o1WV4f+wQc4 LW1qVikAYWTAPnMUzgcriNTUYYoJhvgQyqhg4UK08eOUJZgIA6rKeXeVcpsOXHAOo5IzWPO35Rjj snlqjcV8O8LYAt+/XaVd6weOHi5xRCcsmWn7PmUYKYB1/z8hu3JAiKO0uEEPhKDSZa4zafI/3lYS 2cHvLPEA/OlPkFRppaSj93R4lcNARRATh9bbjXPzLzBOnuPpve+frGrrcO+5RykjaG3tGKtWqPtU mqEJSQQ621V1IfWkK3zv/j9TF738R2ISdAg2LA6jbRU2CZjTZqFbOj2WocT59LY24q68nGhJdAW3 qftwiMPCU0Awgl7lY33zW2iCt0rPRD92OsYvf4U+Yhh2arpqRcXqS/tgDcaMyVgfrIUpozG3bMJq akHv6lBKGJGS4dg7duK8twRfShLOlCnY9fXop5+Gs2gxllSyDQ0KPOskpWGnpWOHLaKDvaqidcVf UWhM66WtDOKef64inrtS0siFLTAPfwD7vvsx/3i7cu0JibnGnlr8P/ux5zEohh3HTFOQBlFxkPPq vviiMp9wpf0Wbfj8PKVrn5RYzqjLr2QacN/iPjp6XWYN939q0pKZ6WcxJHcHPtQOo0LtiE5YhxKS Q/qt/Q4IwVV9WogpZ5xot4tKg7xz5F/RazpEEwqRS3HiEr2ZT2sTjlzcfX04vd1edSjJSgwZtm/H GDMKZ2e50jeX4b/d2q5oL9r776OPliphJXZCEsYll6L9/Vk0SVaJyQppr1qjXhcnzsDt9tok2YAK L3IgeTlxKdip2VhNtURkprXybYKLPyBQvhX93HPRZcsnGzmVTLtVkg03yHedXuVTtgU3OQV3dyVu Xy+2VEjhsNfq2hquGJCeNBNEyWHOdEWAFlNWktNwdkcpeIPd0IQv4MdpasYV6RlXxzdsCG5zE3ZU QJlc6MnJuH5p1V10Aba2tRERBYaq3bgvvOS1ib196gPC+uo30ATbJq1wdxd6bi7OkiUKS2ZdfwPu oMEKl+W/6Hy0d96G+fNh6BBsAbReeL6npiGKsI8+6ul0SbuZno6zbRvlTz/NCPFH7P9w+crMKN7Y FOKt0hAnjQocgHb/PCIUcVm0NcyMIT4CvsMnYx3RCUs2NgPsjI8LFxf/R8wSDuUtIOt2S1DxEyfu 7T+l9dDeXwKL3vW+F6iErPo/6u9Nn9o+UVmhvlewgxkTCGsm/rcWeJWWz4e9aTNhUW54712cW29T rYxxzlloJcNwRYtqzGjPdVlMEar24MSa0BPjKR40dGLQnwC7YyC3AG3VcjWrGYjI/LOwS8swd1dh pCagrXkbffAIdqROZejXv050nB9+9zvMTSvp2d1A+2Ovkfrao+iSONwE3JZqnKeexD3xZPSRIzHG jcHMzlSUJf2UU9AfeRz3PG/mJrM8TYbw+QXYklA7OvEHe3HralSr6ta2YtKDFpeI3thARLTHBJPV 1Y3W2QqyNBH4QUsjdlw8/ku/pKAQumxP44MYeyq95yr69IVF6FddgdPeTkT8KF9+SW0HBWDqm3sa 9tr1ONFR2OW7MGWO1T+P1I+bjfXoExjzvqAEGbUpU5WfoiTH3uUrWPfUs2T/6g7MfsaChFTp4jVY Wm3xfllI0XHS4j8frEF1q01Nm8PJowL7WdgdHnFEJ6yBcln+be9xVPuXGKMfUI5LUkuN+8f0pOsH tW8DK/H9Qr6Lk9nGftZhMr8RCggn9gu9CR9PrLkOJhMrt2ZbASWdlAwMcTZuqMVtqFWKDAPHj2hW xcQqBxp39y7VfkVEibOvV7VH+tjRnnZWXy/axvXQ6ZmzqnbBl4pOy95luC5DfEFyCzRDhsihMG4k jOYz8LU3oInGV0sNRlQsdk4xg7ROem/+C+5N3yJm5kx1TLFJUUQXRuPYIcKxmRg9HdixyUSGlCgP P59c5LIUuOTL6NXV6BdcAGs3eMjwmGi0ri7cceOVzpYYWGgffEgkQ7BTJnpfj0pWliwfujvUPMst KcHduBEjKwMkYTXUqW2fPEdbnsPzzyuoh5iGyAB9b/R0E9lSiv/pp3DfX4rZ0rS3haKgCHfSJKUt b737HoZwDadMxn31VbQzz1BgUuO8s7GefxHfuWd7sJblK3Cys9haX8fEe+9hyS6NzJBLbGDfeyc1 Tmd8ocnWGotNeyyG55hkJ322Sauyyaajz2Fa8SfTf/5b44hOWAPR1edQ2WzTF3GJ9mlkJ+pkJRl7 cVrJMYfwMSWl2kHDdBm6t1RWkpVfoCo1FY1NB9ZnzU2e0YTIBh8Uoren8EZ+P+HREwiUrts7v1IX pPy3CAm2tKILPmpAS6s7jPb1r6OJ6N6tf/CI1L1BjLPPURe2qHi6totv6GCVGMTlxjz/XM/J56G/ 4wqEormZyJ/vhLRUNKEUybnITsFX14NZsx1ryASsnCH492xnW30qE9P3aUhpro3R04mvp5Se/7kf R/fhe/rX+KZOVkoSstGTwbYuS4KFC3G7upWssXb6qURWrcEdMRx9wwaM5Wuxzjwdc9MG7HPPw3nm GdQZjvPjugbWN76F75WX0GICOKKhL4ay7a04P7wWZJb0y19jt3QqGINWKQqkvSoJCUZLIe/lHL7w gpewZSM5egyUblJtsoKEiAz21MlodbVEXl2A78wzPIedGTPU8sScP5fwPffhv+YqOP0LlN15JwXz 5xMdG8WckfD6xqD6EOwLu0qKW/Yd502NYniOj4YOm96wy4cVEaYctND5VyJsuWpOduExURSlH57J iiM9YUXkojU0Va6L4qOpa5S2WRSlm9S0OxSmGioPJcZq/9oMyzRpSU4mS1xk+n/migb5ylX7SNaf Iu5GRytabAL+0u17t4Lyr4cbkl7DvxfsOFAh6AlRaAG/N8iXFis+Qemdi7MNF1+ELohyqTbEkVok mx98WA2StUsuwXprMf4vXogmROObbkSr2+Pdb2wCWl8vEeKx46Mg1IsWCaJHx5IRl8PaNxYzMadd 4ckEBGvl5mOceCJtUX2k0IQxrBj35VdA4ByCzVq0SPEQtZIStHUbMdZ8qBKvER+LOeMY3G9+Heu2 2zHfWwyTJ2NaYVX1qeqwu11qOZXIBHPlS0v1pIxPOA7t5p9jbtmKPm4s9kMPo5XvRFP6Yx5DQGus V9tGmQMO1DbqPLa3oq1dgyM6ZsLbfGcRmjg5t7ZgfPsKIm+9qxx92LkDn2hwFRUqbql5zln0/eZW tsVFkTVzJun5wh3wktPc8VF09Lkevq//ccpqberaHYX7C4Zd8lIMFm4IcfKYwD89aHddWFkeUaar uck635oT87nPxv7TcUQnLHlxJVHFBXTSE3Q1qBT4gnwa/vWtHtUezp8QxZRB//iJ1drjsHT7Pmsp oYgM3d1AupgQCFlZZkARS4E2u155RVVDqiISFdEly4gWq3txcxkxwvP6k6pDgI0y4RfXY7k46xqU zLKyfhcNqmSpINoUXMBNSlYSzUpDPSaacGwiWmomdtkm3MQkIqJxvn0nWtl2nJIRisysNTYR+cGN 3qBZ14hsLcONT8DJzMJduhy3N6RmYpE//kVdtG52njoOJznFUyqQ40zVFEap09aJqqlQlV3s83+k oK6K9hueI2poAboM1rt7sHZWkCv2Xn19hENhwuKnuPE19KJBuI88hiaDdVGpmHMSTmYm7u496K5N 5LUFOCs+RJNKcOQoZfzh7N6j/CCdWSfgStXXF1TJWBD87oerlGifvfAN9KpqNUsKy4ZT2u24eJyc XBzZJvZ043S1o4tmlpaJE+zDnTsPbctmReeR+xNYggz4ndItniSMKKJe8lWQVrB0E+7rb9D64gvU fflLxMTEKK/Kvp4O8mKjSNtfk6w/9rfvkhidZ2I5FjF+6BGWkg/mjPLzwY4wEwp9xEcdWsbpCbls rIowJMsk/XOahf3/GEd0wkqK0bl4+r7B6P4xZXDSJ/7tqWP+UXM7XJjpbY3eestzHdY0Rl588QHG BHLh2KaBKTLKP/i+Vxm9/AraGfP33ZFsFkXj6eFHcP7wO4I//zVRTz6mZH3dxYvRTjxx3/1V7aHv +zcQ9fLz6Fu3eit3oRbFx3kyOK3NcP7Zis6iFxcReuFl9CeexJXN45jR+O65E847W2lJMXo0fQvf hB/f5METktIw25vxXfkttJtu9B5w3TqcP/8VrdOgbc6lpDRVEP2HKzDam+hJzqV31QbiozV0sa6v qUafeSz6yOHY376awD13Yn/veoVf0nbugOJBynQiUt+A79yzlBWaQD/0tGS0C8/BXTfIwzhd+EWV 7J158/GdMQ9OP11hp5z3l2L96c/4Tzoee+Vq9fzYtVPhu/SpUzEuuwSrpw/tttvQXAejt1vdj1m1 i0hyOr5hxfCLn6Ld/wBceonnbSiteXEx7ruLCS94Hf/sY9HGjVYztMipp8H7SwjUNZCXlUXCpZcq kxJlpltbi72xVC0UPg1HML7AZPHWMJMG+XhieR9fPz6G2SV+tUGcMujTaTT1HY5qJedP+Gx03/+b 4ohOWJ9XuHHxSmNKJY2PClmry8ZpYEX5Sax+3UALBNBzcz72JiIEqOfl4u7c4UngSHUn8jIHhfOb 3+GrqcGOicGoqcKVYf/+IccT5VebQmqqVM+hUOAdHv5r7+MF/KQku0RP0eh9ro8Yf4Dum/5OzC0X 05U/ku6ARXyoTkkhm/V1MHwYrnAvpW075xzYsR0u/xrOpk2qVTI2lyl8k1ZbA9/7Hs6xM9AEAOsX ig3YDfUeQVsGQnLehLIklZD8W16BY+q4GenKqENtEnu60OafQXDNepy6BvwCt+jtxsrKxX/TDVjX XIPR1gQrm3D+cieGmIEMvHZyRLLFFWmeB/6Gu3qNwnWJSYj7zjtoM2fie22Bsk0LT5xIoL+ll5mW np6BJaoOMz9er38gZg/3s2ZXhKnFPlUtSWU1Z1SA8gabbXU2J3uSW/+AG3x6VR/HlQSYdwQmK4mj CetzCE2G1yKpPHiwR1A+OA7SrHUam3D751rGkCEHJgfF0/j4l0mSmSHzqPIKNGmDyivAsRUZWtm3 y5BbfidznI52tLY+aGtGJwZ3ayWR0+ejRQX6VSrAzcrD/MufFNFXPaosP9dvwFn8niIyi9M1gru6 /yFS1r9PX+kKnIYafBveQ2vuJKl5KX0iZTx2vJoxCZVG5mRRv/kFWnU1bvUe3CFD1XPWgiFs4UmK pEtWljd3ExG/sWNUclPqGIsWYfziFhCRQsGLiQmF+EMOL0GfNRPrrXdwy3fgmH6cUePQa2twJMk/ /oQytdX8BrbhQ8vKha5uwks+8EC3CSnqeStJHOE+trbhyJyvo0NVSwJfMOSctXegpad5xiHStrZ3 Yq9ejZGcQscdfyT1hh/sNa0QhVVjRAmWbB2Pnf6JmBkZR0wo8rF8Z5jX1gX54vRo9bOhWQa5KTrr dkc4dph/70yqvddRpOlzJkcR+FeBzIdBHE1Yn0dIhSPCf0LhOISw2jqUIai7YiXBYEjhgIyWNnSZ ca1Z//GVmoTP9DBWDf1CcQJzEAkacZAZOhReeAG3ohytpcVzUUa4dQnQI+DVbrStpQcMnw0Z0EtS 2G/rp3wGRXFzIEQg8MYfYc2fT6aAFEkgsHIB4bMvwx08msB7z6iKyZbKT2hDmzZ58y9EeTMaPS3F 08e3I7iGhiOJQ7alwT5PbWJ3Fdqid0AG2NLeitlpXR1udCwUFuLW1OJ+Ya4ifus9vThC9L7uOwQu uwS+ey3aH27FueturJ//DD0l3TPBEMWL6CjMH/4ALT8XsjKxIg5Gd6dKesILFPiJa/hwIyGMYB+R nRXoI0s87mBhIXphIcGf3Ix53rn4vnu14om2PPQQGWecsZcDqgkZ/Zip2GvWYUwY5+lmfUzIkP3Y oX5+vbVbqSpk9jvnpMTqaigvM1KZn8pMVSqvGUMPH9WFfzWOJqzPMLY1Ogz53e17v5e5iZpvfLje +15QCkLuzUhl/wmZnpWBNrxEXQBRF17ggUV7+3BEolk0wMUA4de/8e5DkpNUAAMC4YLfkopNsF6i a273a2K9+pqXdGQTJ7MZnx+E+/buO97Avmc3dmIqmh1B6/bQ6OpLwI6//R2uIMql+mvvQJeqaHOp ao30uDgP1yRtXX+S8yX7CTdVoSVlYDbvwe3uwDVjiDgmZnm52rRFHn8Sn8yYGpuUNIohA/OKXZ4e fkoKlngDxsarAbvSmh94XgPnKBxWt3cFqS+/v/wy5QotFCBNlhxidJuauo8fOmgQzk9/gbNuPb7u TszUZJyt2+Cuu3AE//X6G2hbStFmH68warZh4JPWVSzM+snaxvYyrDFjiGzajE/chuR8d3ehTTmO 8COPk/7Ny6nrC9Lb3EJMwr4FjByLMVUoRiswp0/7xJmWVFD/e2acmmVdtN88NTlW59gkg+c+DJIU q3HK6COzBTw4jiaszzDWzvoiY2Z+9BB/INqb2mh7+hmS9qu+RGom9PRz+EcOV6ahKqKj0AcVoU2e ROS119Fu/KH3cxnoz54NQmURMbqoaNwVH8K0Y7wNowyNh5VgCxBzSLFnXCGJpbbes8ES/SuFrI/x 8Fz9ssh7L3Sxz3rsMSVFYy59X5lEiMO1mDdIa6RuF+xTycGybEyRfA6F8Pv91OgBEkYfQ/TK1zBa 65X2VNOwKWR97RxlPqv9/ne47y/BGD4cLSMd/c9/UcN3rWI3RluLGsZLC6t8BBub0IcMQReLLctS xhtOfJKqdKwtZRg1tTjxiYr4bYSCWI8/gbXkfbRlS9G+9nWlnBD42c8IiwTPQw8q+pE2/RjFARS1 BnvJUu95jx6Ju70cXbTEcnNwZPvY1OApP/R0or3xOhHFNdRV0pMPBP3EE/DV1xN+/Ekyv/wlGq++ muirr0bbvl3pxe89lePGeO3hcbM+9b2Tn2Lw0JJeLpu1j2EgcIgLpkUdVuTl/2scTVj/AfNWrCBu 5z74qCbE3Jpa9Mu+rIxAxajUqq7B2LhBzWN0cW0ZCGkxpJoS/JV8DbRT69Z6v69vUNguQcmrykqS muC9XHAHDULbsA5fUy9O4SDlJagSUU+32qCJ+kJIZICF6yiuMvJYUh0MG4p2Ur96Zn09zhtvKuUD f8WOfRrwfh+5Q+PZY4XxD5tE6Es3wZ7tdK/YTcOg9aTurIC338YRRxqZs8l9C+JdWmGBJJSMQBej V0lUUQH0qE5PjXXiBPWw7tPPKoMKTj4JXY5N5oQ1NTj3PgDHzkAX0cOFm5RrjyvDe6HoPPE4+rAR OFdfjf7hKsWvtH9wo4dni4vHCASw7rzTex1i4rBfeU3BPES91BYAqiSN2Bg00SQr24olphRDSzyy dnEx+vtLsatqyLjxRmrefodc4W6uXetRseQxRPNr4gQvac04Zq+x60fFzBI/te0Of1/aR1yUdgCe 6nAiL/9f42jC+gwjLqDx2PJ95qcpteWcWPqSx/LvD6lcYmUm1VPnbfJE7C8mxuMUCgWksNB7YeRj VUi4re34Lr34Ex/XSU71qi6JHTvUP7pQUerrcZcvV9WQJqqYQ4YozXX9Sxejr1mDvakUt6IeCjNw 73sRNyYG+9e/x791C5oiRPf+44PJcHzWTLTf/l5d6FIPGumZniHq7Fnkn3wqlQ8tIX7ccfii40mp 2UHb5hCJg4ZgzpmjlFO11DSVaN2tm7FFLTXGxrzl52gtrd6C4YsX4lz3fU+Kp/956ddeg337n9F+ +ztV9biSjL91pZoduc0tGD+6CffnP4dtnqqpUHTU37U0oz/5hNL5Iq9AaclryUlq1sfO7V6yik9S +Cx71DjM7CxYscL725Q03IoanGOnYrS3KSwYefneLLCqCvOUk7E2bsKuriVn6VIaxo0l8+ST0UTR QRKtaaLFx6mt4d6Z1ickrVG5JqnxOq+uC2Ic7gjQfzGOJqzPMM6dciA8wd4E+knfUeqje38m5qtP PqVwSqp9mzpV/VyMVg/gIsrHqqgIiFVWpoy2Pz4cWfXvH/K3Ag0oLMR57HHcjg412DezMtBFZLCs TFnLO5W7PeJzbxzuu++qobIyef00NQlJrhkZhKsSQbiCTQ04WXnooqmem0nh1FRZ1yyXAAAdAUlE QVSWbd7KWJ+LnTeMuJJJtL/+AEltPQRsR1VwGgHcN97EcBzs5DSl1cV3v6sUKgRSoBXkecj8gad0 7bU4TzyjCOV7522ahp6ajCGtmvAf95fG2f907K7EjliY27fhpKah/fkOkFnYgHhfV7v6b6OyAlsq uLKt/ZVrI25GNr7tZYR0H0ZUFMaCBUQsi8D3r4PUFMxtZUQyMrCvuRZt2fu0Dh9O6rixuA8/rJgD qgrWdYxJE4i88y4+8af8mMhI0BVx+YwJAUXd+aho6PRmlOOLfJ+Zd+F/UxxNWJ9jhNOy2Ph2Ga2N PcxpX41l+FmXPpb0jZVYBckYry2k8atfw2prxRcMknHvXRiyPTNNAqkp1DU0UlUyguhly9RAIy0q QNvOcuyEBNIEI2UYVPf2Ed/VxYgrr8QVpnYopNDv3e1ttPv8dJaVYRgGbSJ109pMalcXYb+Pwtwc QqNGKLR20LbpKNtG85p19NbUYHzjCqLCIUaJLEtsLNbuSlrv+CPpMnebPZuulhYaTZPiM+epoXZD Xw+RUIT0116BrZvpamklJxgmaAZoa26nICGeSLCezl/dglZXozwYjSVLaK6pJyE3m/LqPYxvbsb4 cC3a0KFYy9co12n3jXfQFrzhQUMEkT+shIjM5c46V4E8XRm2nz6XyJbNynZetObdtExPVrm1Cb23 C7elCRKTMfsleUQZVgjM7pVX4Vz2VbQ778R65VV13pyYWPRnn8PqDaHjYhUOwZAhe0Y65vgJaE+8 iFaYrkTSrJ3lmLJ4mDkTc9ky7A0bSHJ0qq/6Dj0PP0TBpZfiPvW01x5KYhGeaUYmZc++jy7tYb9x ycE5Z1VFhGHZJiVZHtXq4BiU7v187a6IIk4LtedIiqMJ63MMKzkVbXwiTnkdRkebciQumDaR7jiD tPM9mEC8oNq3VOCKU3Fbq0ffEbWBrm4Ks7Moeuv1A+6zaNGiA5Dug3bsJPTgI0T/6uZ9N7JtYrdv J3PECJx7/4abnYOzYSNGeir68BLlgSgRu2GjmgVFlZaSFBND4eo19P3lbqKuvgqtIN+r+Lq6VYsY I1gxMW+96kr8Ph+xV11LQNDoSUkUigFHYoKiHTFqJKmBKNKWf4BTXUsWQYzsfBhTjHbzzcpwVQ2+ zzqb2OoaTMuiz3HwX3AeRr/McGTNBgKDC4gsWox56ZcViVs060Ovv4k5fCgsex/9umuVY3Rkcylm egqMKEHLz8edN1eBdq2GJuydO9UxaK8vVLM80ZjX5PFFZvqZ59C2bFW3E+s1xKRi1Ejl0qOXlyv9 fWN3PSRFKXsw/ZKLYd5paO3tGH1BIus3Yg0txty8RT2ulrULLSubwpgoyr97LXW3/p5saQtlETJk iDrfAnAoGdanDEnsCRPZ020wJPPAS1DJpnU65Iid9CdEWpyupGq6gp7qw5FSbB1NWJ/zTEvkRaLk U7DNVm2L3wSnrZ3I2g1Y4gwdHYeRGocZEvG8LkhKxT33POwnn1RDczU4H5i6Crh0Z7nnSj0Qgk8S XNTHhCZywVMn47S1KXXSA6KzA372cw8aITMTgUpINSODf2kd5fKReY2YlMptBBcl7afI2QiP8ZG/ K2CoPA+ZS5nSKnZ1q+dHSxvuMdNwm1vRhhbjigqC3KNs4QTQGh2Nk5Co1DmlAhRcFNU1IKYcLc24 KQme07ZANR54UJmnSiLSUlM8wnZjo9JclxYvVFmFtm4TxoTxmIKHmjgBc87xMOd4xak0Hr4fbfWK fQqc0goKlKFsm7L/UseVlILRkY1+yZcIv78M59mF6CI11N6MPWqkcshxd1WqxxRQrv/885SahTWo SKmlWrt2KzqPzAEH5WRT+YfbiPrpT0gW0UapTPvZDAIbMadP5c1nSimcNYptdZaqqAYSTlGaQX37 gBDiJ8foPFPRdNZVRpSbtGwVD/c4mrA+x5A8MyrPxI6No/uZzWr47kybw7KC2YwYEa0I0y2/uZ3Q 3DPJTuwhkpKB74pveFXF/fcQbI+j8cEXyUrufycGg/iEoCtuNAPxCSh4FVK1yMWi6Wo4fcBFICTr 5csPOF49EoZzzlYJYm+Ie1D/zEiFIMPHjkb70Y1KI8p84EFPv/3cc7DvukfNqCQh+045BXaUe0j+ YBhDXGw2lRJ+9XW03dUYs45VpOKASDsvWqyWDHIQohqq/fEOfHLsgjlbvcbDlL3+FtqsWSBfkmSE t/nnu/DnZSljVG3NalxB1it1hn0hvEl1/APfDxmKJoJ/opEvySsnXyVmofVo3/4Wprgb7a5E/3CF IoBr8r04bO9/rtva8J1zFpHtO7BeW4jx+OOE+8LK2ZttZRT98Ifsfv0NnHlzSX35ZRBwqbwOlkX4 pdc46YzTWFHlqOqots0mt7+iknMcjMCizSFF1fm0yErUlbuO8BBPG3v4Y7WOJqx/Q1RGYgld82Oa umxyxJLKH1aoa0lD9+1IYfC9b5Jau5OS2g0kZMQTv20b2t33sjhSxGlXnLz3fsLPvajE+PZXA1Xa TZ8QVjCivA7XRhUzNq5N2Y0NhJOYyLqrf82ubtEZ15QCxdhwJVPl/lWF9TERDLI1upAxu6tYbg7B Kj6JriHjqFwbRUXRVYrzFx4aYGinTtbpM0kTM59Eix+s2UTMqafimlJtXIne3YGzYgUhMXy97lol U+ysWYe7azeOAGSlupM5Vb96q1tbh/PkU0oBQ5s82TOPEM353OFo992nYAzagw9hB2ajbduBK2oM onIhKP/9na0F+yXPP68IM9SHVtsvodPUhL15C7ZYvIkF69iJCngrnpOChVOAWYGQdHSq10H4jNbr byqxREvJTYfQxfC1tQX3sccpuvwydohZxdy5pHywHI6brao3c94X0AN+Jg5yFZ8wJU4nbNlqPiWR laQr/8udDdY/tIwfB5U5foSn+DA821T3d7jG0YT1bwiRwl20OcyuJoucCYbS4eoKuqzfHVGCbsOy 4rCcNHzGdHV7QXTrc04kd0+EF9eE+kt9l9mWRnRnK9qLr+y9bwFtGoOKiOz3M4U0lPZy2052hWPZ 5pQQLHQZYzYTqa6D/ttqcbFMmncik/Y7Vqc2FWvx+8rU9ZPCPWYGC+yhxI7RmT27CDIzeWtTiEJ7 IC1oJMdqTB/qVxSUNa/0ECyJZn+yUm9fL7EbSjFENmbtOpyOdvosi9ZtW4k+81xi556KJsNqkYqO j6Onqx2zuhZj8mTczZtVwtJPmENYZKBPn4/+13twKnfBm+8oGR5lspqSinPd9ehCjn78cfToGJU4 lBDfrkrCHe0KJCpzQ7ZuITL7BGVXL16QvqpyT94nIQ77f/4HvbcPV1pnaYkXvAZbSjFKRsG2zfjm n4Vl6DiNzVitHfhbm3GefY7Bc+ey+rbbGT+oiOjnnlfwFaEJyaxS6qFjhFaamsKW7PHs0aP2CkcK X7A79I/O35+UtIS6I/pY6X0ug/uT3+EWRxPWvyESo3XOnuyZEMj7ffIgH6+sDTKu0EdJtvcS7O9B pw8epP4dk+9jjKcH58WEM//pxxbc9T7s9dxPvb2AVHWR/f2UEDinB+mU8GAXXxj38S3JJcdGUdFk q8omUFnOiLt+BvPmomdn0LHoHaqJIzMAvpdfJu3UU9B3VOC//no15Oaee71WUUwrdm5XGCshGosA obt5C4HRI9Gu/556HFUlTT0Gfc4J6K0t2IMG486YhnnySVjr1uL+7TFoacKReVlCIrroY8XGY4vC g5GKaUWUh6E0kZHBw9AqqjGqK9V9y8+UeoT6isdMTcfYttl7grvK0eecpFy8DUHj5+UpbS7nb/cz 9cpv0bjsffw+P75JE9DO2k9KqD9GL1vBZnOC+nDrDjqMzffzzmZb7T36F4qHFCKNvKvJVh+GMtc6 3ECnRxPWvylEarmq2VbveKk6pg85soissn4fWME7jon++9/A5lKl3Fk8Yjia8AvbO9FGj4ahw4hs 2gr3P+ApKUiLKmBbMZwVYK0sIr55haIvOd+/AWIOSpSiSy92Z2IqW1DkEapl+9feRig/HV1IzaJC kZGOdtws7DfexM0v9BYKIjUdJwP+CK7g31KSscURp2K7kstxsnKwBYIh2mQb1qrkJWE0NeHLzUGb dzrhDaWYzQ3KdFdUWsWGLe1b32RDVyeTN22Ck09Wy4r9w5g0nmErVvNs7UTyUrwMNTzHUJV44qc4 QB8c0lq292q8tDaoBCgPp2H80YT1b4qeoEtRuqEkc8Xu/kiLR5f1UZxpKGnp6N4ERvTsQvcFcMor cdvaMWcdqyAFmlCJLrgAd8s2+MqlaLJhEyBrfj49pTsxR04gtrkGli5RLZ/MvQR5LtQd17ZwRN9e 1FFlWN/aptRNbaEAiUBhOIwuywFJNi0tGJ0daKtWolfvxiYWO9bAeP5FtLKtuDfdiNEPNBVtfjW2 b20mYvqV6Ye+Ye1e6WgrLx+2VeI8/ChaWyvGpEnYraan0pqWrrbD+tJljDRMduTnkPneeySK9NDw 4XvPj6D6o6aM57Qlq3myfbQyP2nqdJQYorR7knQK00zV6h1K1STilCLRvLI8rBx6Dpf33NGE9W8K GbiLvpGU6kdi9IYdpgyO7tctz+j/QhlcNKwoJUd07wWmcMsv4ZlnadlRQ+/Nd1J0wUmYdkQlG626 gdaH36U3LkTK3BnohTnKW1ETRVTXxe7pVVg3/YXnldCeW1GBK+qhjz2OwMJFhsewItg9PbgJCWil O5VTkIRDD272cDjnLJWIrJg4hV/zzz8d+9d/9tDzCUn4w0Hcxlq1PdTrWhUcRN+2W/29wEb02j1q iK+fdS4Refx2C3P9atzsfPwx0RQWFrBp4UIKhg4lQ6hP/bxDdS5iY0k7aQYXvrGEjFHHsafVUQN0 gcZIAttcE+GJ5WG1bR6U5sl6J8foSsr7o6ooGdxLkqtotBhfeHgYUxxNWP+mkNJeQgwujsQQ/fLf v9b9ESYJaQSHXMz1Tz1PYNJYXj7jRs6+cDR/SrmI/50fi97eiGPZ6Pm56KMnEZhzLeaOdby7sY5R JSkkSssoHEkB1EqlEwhgd3Ri/eZWtK1bsd5YhLmllNDKVbhNzThRcRi5Odiily9gXTmEmHi03i6c 7Bys2hpV5Tk1LbjDSuh74RV88QZ0eYBcSWRkRuPWVauj17vATs2k2o3C3VVOqwhtCPLjxeeoio1j ek83Ql136vYgLFO7rZWRrc3Yp82l+/FnMQvz8d14g2pjByon/+4KKuunU9ut0dknVmH79OFnlvgP 2K0s3BhSIoDizCPQCElcCdG6WnjI/4IRRwkFHi5xZF49/4GQ8t5nCN7mMBoo/BNx3WkHzmwOjDgI f4WOqgbKauNo6XaUOWr4B7fgRvmJCWjoP//p3lsLxGFyikNwVTtda7djnnEuATukNpXamWfiBEP4 ZbB92SWY9Q24x5yInhGLJcTvhFhlKa8LEFb0wDr6sH1+zLgE9C2bMXq7sHtdzKQA7vNPoSUkofv9 WDkFmLVVaD1d2OL7KAeSkYWTX4izfTvJXW3El4yiuK8bu70Ls7OVSbf8Em3sWJyHH8F33z0gWLNw GN/8ubjPPQ+nnaoQ/Nv2BFlTYdPW46iKadrJZ1PZAukJGin7eWKWVlsMyzIPcHIWrNbBeC2prAYq Ltk2RvsPj3ZQ4mjC+jdEMOIqEHlpdYRhWZ+g334kh99H4pA8bhgMG6oinG9sJi4zCbejE7u6EUP0 vdYvJ7ClEjcmHqO1jhiBBIiS6bvvETFRrtH2yNFYXZ1Y1XsUtEN0s7TMeMyhw9B2lmOU9W/1pO0r LMZNTkIX30ZZxxUPwVkXVt+Lv6E9fLSSSHbF4DUcxs4fJOgs3MRk9NL1yt/QDUcwu9rU/YkAo9Pi aWkp30jTh3Gi571o/eH2feDbxATPBWjdBrp6LGKHjubLg1P2vleeXx2kujXCmDyfmn0KUiRgivcg ij8otnRHahxNWP+GEPqEzBuau50j+s12KCGVwcQiH1ZxDOEllcoqzZw2Gfu2O/B398LUsbixScqO zE7OwixbRfA7t9EXsqkKOYxNdJVGvHbjjzB8Bt2C65o1m6L1G/FlpqPff68SRRSt+MhFV6BhK5Nb I96nBAftxCSMnm60mDj03h7sYJ/6MkRLrKMdR/iSvUGFiqenS8ncROKT6OtqJ6FFEPZxOCI9LW1g v9O0UVSIPXgIkQWv45s9E2bNxAlF8M2cwe+e7iKvQmeiI3LIfjVgFyenJ5YHmfn/2jvz4KrKMw4/ 55y7JDc3+3KzkIUblpCwE0CWgKIsIgKuBZFhXGAUZVFERKgOtlNGbKFqFQQ7g9WKWwUtFUFTCGFv 2CSBQiAJCZAQkpCE7Hc5ne/cdoQOM7UzCQbyPTP5hyRM5sD9zc33ve/z6y5qv1SOnBVnUPKlKpBP 4QYgfNxi70sqjn46pqFD8JzMN9qADDuCquHtPZCWXhmoVWVYf8hGKS3CHRmPqTAXW1IaocJV9eGv sOigNdQb/Yx5ZRcZ2j0FNaUbpo1f/OijmjwZU/KruC5XYxk3BiU4EGX1n/AEmlFFZ2NcgrHYbRGB JbzxQhMT5cBcW2Monj2KhiasrfHxWE4e9403iPEDs5niLmP5/p55jK47Q6ffvemb1hcbBwnxaH17 0/z2anIsTnJ03wqRuDkWh+ob9jUa2wYNTTrlV7xcrPUY51rilk/iQwbWDUAM/l1u8BqDfJKfhjtz O5poiRaCv5On0KZPw73rKJ74FHSrjZbhk6CxDtPG1ei6mzKzjeZLJXhmzED94CPj3Y+nrBSnqOIa NBDEx3/CSoxKuFyYjhxE79wF7bEZIIyqK1agnTyF+5NPsURGos5+Gteil/EePIilqQF3eQV1ClR3 dRIr1obyhH++3rhB/M/mpfgV1eRuZvCjI4joNA7rdcYJrF27MAyMj6vJ6C7/d/wvZGDdAETLr7jt uZUG+NoaxeGgOPsYiRdyUYdnoCc7aTl1EW9oFEpzPfrFIrwxThTNhFpxAdsEPzq7mjHfNhiXKDSN iULZu59zBQVE3XsfNk+TUQJrzD4dOGD8qolJQ+2SbBTIGgjR4oD+KBdKUUfdbsxGaaPvxPTiAlqW vGI0+XiDQ4j0KLjzjvnWazQNNcKBLcphNBOJKrKQlhosnhqCRcuPpFWRgdXGiJJMm0WluPL6BknJ 9REFDq6jJehz3kQfvB0eetBQygi8YbGol7egnT+DKzSahoF9iFm6CG3NGmM1RykqQHluLtrixfR+ ZzWFz/+BkKWzibF7Ub/7HkQrkXCC7dqFOnTItYZVYXltafaJC7/cZPwcwrnvN2Ecrvsn0/DyUkw1 NVh79sGa0AnvvgM+11ZYKPrxH1BtgdTWNBEaHSr/adsAGVhtzJmLbkwmxbial/x/OJtLwW7ylVGY zVypq6f8/CUccZE0TpoNDVfQzuRiFbVawqk1axaKOOgWzrA77zKm4QOffJyAYytQP9/Jnggn/QPO YxW9h4G+zkTltWXw7VajScfQ1mRl+ToYXS40VzOKmEgXxR5OJ+ZBg3AE2Gj+6iuUrJ14ysoxrV2D /n0m+o4s9JQ0ynUbpes+p1OQvA1uC2RgtTF5593GweltyR1rd7A12OsYRGqwg8Azheidi1AuFxHw 2Qvo3gDMoiVa0zhSWkBa5Wma5okyC5sx0Z4z4H565mzG/zevi+pWzu3KolvyUHra7bTs2EfplCnE Z2ZhGTLIV2IhikCSkozdQ+8XX+ItLEI7fRq9sgp3uVjhqUZNH4B301dop04RMGkibrudpp07cW/Z gp/Qz/gHYPa4sJRXYjl4AIb7ykQkrYsMrDbm6nJMyU/n9EUP24qt9F8wD/Py1+AvnxFe10BE7d+N z2v79qOvWsUQpR7/zp3R42PwCO2xptLppeUoxzMxvfs2SlgE6SMyyC4tJr25AdeCNQQd3U1hfiPB aSpRX25Er69HGzvG2FdUu3VHPZhjFHWI8QNTv76+8toRI1DFGZho9E6Ix1RVRcCLC6latgz9TAGm w3mYqTcKcstXrqD0/jHEJVwlQZS0CjKwJO2SLg6N56cncXDUDoY9/Qzs24t3/wFjlMATakPzuFF2 ZaOY/NAjfDd6imjd0b3EFxVzvMdQUg7vxZOUjGnbd3RuqONMdBLxY2dg8rMQOnEmjS1+5O/IInnK MFi/HqZNA2F0HT/ed8YlOgsP6TB1inG2ZdhPRWCVX4LUNMNtFfbAgzTf56G25Bki4mNQLleTWFPD /t35xCX4TK2S1kMGlqTdEhJkgVUrKawuwTl+HEe/zWXg+N6w7n2jH1Hf8An68jeMejLPN1vY5E5h /zmVp3+RQPCKZRQcPkC3Q9l4+/QjsegsgflZXPpsJXFd+xo7iiG5e2iJTeNIQRyOK0XEFxX5bhLH jvU55BcuNJz5bN3qK6QdOND3g4l6NiEB3LXLaJO2ejycUHXCExJRU1IwbforRTmncT2cbqzJSFoP GViSdos4+0vtH8fe/CiS+1qpO95k+OW1nVm4/plPs1flQNp4RpSfoDYkmsYeMTwxMpgEh0/B8s5z a4ialUGw0CTXVBEZEkzz5t9T0Hc0SYMmoNZWYNFMJFoVmko1Dv1gJvVsKX6bNxuFqaT2gJgY3zuu f+T4gkoU1YryjqwsKux29Lfegqyd9AwLw513AlOAv1FY4R8T/nM/vlsSGViSdk3Ev/UqH+5uINxi p2X9hyjVdZQWVbI9dSLp8+9Ai/RyPjOPwisWHgj/UbUyfVoKW6s3MPLdBYTagwz/e6y/jaBjOziU /TX9HImoD8xDu3gW6+0TiW9uoORANdqce0hIDSXnl0uJHTUKR0YG1sG+wlty82jMOUiNqwX/ykrs jmi8FZWGoFFXVDy5JyjPLabYfwyVtW6iQ+VLrDWRT1PS7hmVKm5YLTBcuKN8/qgEYMZVX9Pr7n70 uo7E7qEXxnCo5hnC33wJ6mowVV8WbgiGAodTuhHpZyfM40Y3W/H/2/v43TeD3XOeoiwjnQErVmD2 86N440Y8eXkkLlmCqWcaFe++Q1xsnG/xOjMTZfIkzBERuNauQ7l3PBvMo5m87CGiQuTLq7WRT1Ry S2M49H/9FFnde9F17iNEVxeL3QNUu4lBs2ZS/Op8SoZNIcbZy/Bsnb9whrvXvoa1sgJrYKDxdyQ9 /DCNlZVUvf46pvzTRKSk4D5fiprsRHt0ulHA6sk7wceViVRHJjDzQSdhgaZbzqfeHpCBJekQDJ82 jM2Jhwh8ZRHpx7fhhwvPk88SazOhfvtHTh/LpsuSjwjI240rey/Bzz17zff7axr+olvwvbXooj17 7hxcH/wZfdt36GWXaCivYsaCyT/uK0raBPl0JR0Cca41aUQ47HifrU++wYivV6EH24w/jwXCy07z zdzh9J+/lqCEQGMo9Rq1p+g9dCajTJ0KJcUodjvmmY9R8PbHNHS5DedIf5DqoDZHBpakwzF45XyU RwajbNwIjQ3G7Z+lxcX4s8VUrlsAryy+5uuFG745Mwvv8t/it3ghrrwTWKdORbFYSMzoiSvUi79c vbohyMCSdDhCgsxc6pVOs8dKjCMA9b01KHm5qBYNR2wU3s+/oGn3Xhpj4tHSB2B2NbJh0QZKz9Wi lhSTEzGGdes/JahHZ9SkJPxDxTG+5EYgA0vSIdGtfhTG9SK8NIcmcyCBFVW4AwKx+FnQgwNp3L2H Pc67SHxiJD2TA3jc+C7hm49mUYCKqvz3naTkRiADS9IhiQpSiUq1QeoIjkX3paQ8iFGu47i2Z6Jb CjFPm4ptwmxSkq51WoXbpdTs50QGlqTDMygtiN7rF3HyRAVfj6zkkTFRhIVYuCPSjiFnl7QbZGBJ JICfRaVPnygcSRFEB8t3Ue0VGVgSyVXIsGrfyMCSSCQ3DTKwJBLJTYMMLIlEctMgA0sikdw0yMCS SCQ3DTKwJBIJNwv/AjlsaeZ8E6kGAAAAAElFTkSuQmCC