20251006 13242000 1.0 TRUE ExportFeatures HPMS_FULL_WA_2024 D:\Work\Spatial\2024FullSpatialJoins.gdb\HPMS_FULL_WA_2024 # NOT_USE_ALIAS "DataYear "DataYear" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,DataYear,-1,-1;StateId "StateId" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,StateId,-1,-1;RouteId "RouteId" true true false 120 Text 0 0,First,#,HPMS_FULL_WA_2024,RouteId,0,119;BeginPoint "BeginPoint" true true false 8 Double 4 9,First,#,HPMS_FULL_WA_2024,BeginPoint,-1,-1;EndPoint "EndPoint" true true false 8 Double 4 9,First,#,HPMS_FULL_WA_2024,EndPoint,-1,-1;FSystem_VN "FSystem_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,FSystem_VN,-1,-1;RouteNumber "RouteNumber" true true false 4 Long 0 10,First,#,HPMS_FULL_WA_2024,RouteNumber,-1,-1;RouteName "RouteName" true true false 60 Text 0 0,First,#,HPMS_FULL_WA_2024,RouteName,0,59;RouteQualifier "RouteQualifier" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,RouteQualifier,-1,-1;RouteSigning "RouteSigning" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,RouteSigning,-1,-1;NHS_VN "NHS_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,NHS_VN,-1,-1;StrahnetType_VN "StrahnetType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,StrahnetType_VN,-1,-1;NN_VN "NN_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,NN_VN,-1,-1;NHFN_VN "NHFN_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,NHFN_VN,-1,-1;UrbanId_VN "UrbanId_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_WA_2024,UrbanId_VN,-1,-1;FacilityType_VN "FacilityType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,FacilityType_VN,-1,-1;StructureType_VN "StructureType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,StructureType_VN,-1,-1;Ownership_VN "Ownership_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,Ownership_VN,-1,-1;CountyId_VN "CountyId_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,CountyId_VN,-1,-1;MaintenanceOperations_VN "MaintenanceOperations_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,MaintenanceOperations_VN,-1,-1;IsRestricted_VN "IsRestricted_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,IsRestricted_VN,-1,-1;ThroughLanes_VN "ThroughLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,ThroughLanes_VN,-1,-1;ManagedLanesType_VN "ManagedLanesType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,ManagedLanesType_VN,-1,-1;ManagedLanes_VN "ManagedLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,ManagedLanes_VN,-1,-1;PeakLanes_VN "PeakLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,PeakLanes_VN,-1,-1;CounterPeakLanes_VN "CounterPeakLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,CounterPeakLanes_VN,-1,-1;TollId_VN "TollId_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,TollId_VN,-1,-1;LaneWidth_VN "LaneWidth_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,LaneWidth_VN,-1,-1;MedianType_VN "MedianType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,MedianType_VN,-1,-1;MedianWidth_VN "MedianWidth_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,MedianWidth_VN,-1,-1;ShoulderType_VN "ShoulderType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,ShoulderType_VN,-1,-1;ShoulderWidthR_VN "ShoulderWidthR_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,ShoulderWidthR_VN,-1,-1;ShoulderWidthL_VN "ShoulderWidthL_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,ShoulderWidthL_VN,-1,-1;PeakParking_VN "PeakParking_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,PeakParking_VN,-1,-1;DirThroughLanes_VN "DirThroughLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,DirThroughLanes_VN,-1,-1;TurnLanesR_VN "TurnLanesR_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,TurnLanesR_VN,-1,-1;TurnLanesL_VN "TurnLanesL_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,TurnLanesL_VN,-1,-1;SignalType_VN "SignalType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,SignalType_VN,-1,-1;PctGreenTime_VN "PctGreenTime_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,PctGreenTime_VN,-1,-1;NumberSignals_VN "NumberSignals_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,NumberSignals_VN,-1,-1;StopSigns_VN "StopSigns_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,StopSigns_VN,-1,-1;AtGradeOther_VN "AtGradeOther_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,AtGradeOther_VN,-1,-1;AADT_VN "AADT_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_WA_2024,AADT_VN,-1,-1;AADT_VT "AADT_VT" true true false 1 Text 0 0,First,#,HPMS_FULL_WA_2024,AADT_VT,0,0;AADT_VD "AADT_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_WA_2024,AADT_VD,-1,-1;AADTSingleUnit_VN "AADTSingleUnit_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_WA_2024,AADTSingleUnit_VN,-1,-1;AADTSingleUnit_VT "AADTSingleUnit_VT" true true false 1 Text 0 0,First,#,HPMS_FULL_WA_2024,AADTSingleUnit_VT,0,0;AADTSingleUnit_VD "AADTSingleUnit_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_WA_2024,AADTSingleUnit_VD,-1,-1;AADTCombination_VN "AADTCombination_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_WA_2024,AADTCombination_VN,-1,-1;AADTCombination_VT "AADTCombination_VT" true true false 1 Text 0 0,First,#,HPMS_FULL_WA_2024,AADTCombination_VT,0,0;AADTCombination_VD "AADTCombination_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_WA_2024,AADTCombination_VD,-1,-1;PCTDHSingle_VN "PCTDHSingle_VN" true true false 4 Float 2 6,First,#,HPMS_FULL_WA_2024,PCTDHSingle_VN,-1,-1;PCTDHCombination_VN "PCTDHCombination_VN" true true false 4 Float 2 6,First,#,HPMS_FULL_WA_2024,PCTDHCombination_VN,-1,-1;KFactor_VN "KFactor_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,KFactor_VN,-1,-1;DirFactor_VN "DirFactor_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,DirFactor_VN,-1,-1;FutureAADT_VN "FutureAADT_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_WA_2024,FutureAADT_VN,-1,-1;FutureAADT_VD "FutureAADT_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_WA_2024,FutureAADT_VD,-1,-1;AccessControl_VN "AccessControl_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,AccessControl_VN,-1,-1;SpeedLimit_VN "SpeedLimit_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,SpeedLimit_VN,-1,-1;IRI_VN "IRI_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_WA_2024,IRI_VN,-1,-1;IRI_VT "IRI_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_WA_2024,IRI_VT,0,49;IRI_VD "IRI_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_WA_2024,IRI_VD,-1,-1;PSR_VN "PSR_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_WA_2024,PSR_VN,-1,-1;PSR_VT "PSR_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_WA_2024,PSR_VT,0,49;PSR_VD "PSR_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_WA_2024,PSR_VD,-1,-1;SurfaceType_VN "SurfaceType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,SurfaceType_VN,-1,-1;Rutting_VN "Rutting_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_WA_2024,Rutting_VN,-1,-1;Rutting_VT "Rutting_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_WA_2024,Rutting_VT,0,49;Rutting_VD "Rutting_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_WA_2024,Rutting_VD,-1,-1;Faulting_VN "Faulting_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_WA_2024,Faulting_VN,-1,-1;Faulting_VT "Faulting_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_WA_2024,Faulting_VT,0,49;Faulting_VD "Faulting_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_WA_2024,Faulting_VD,-1,-1;CrackingPercent_VN "CrackingPercent_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_WA_2024,CrackingPercent_VN,-1,-1;CrackingPercent_VT "CrackingPercent_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_WA_2024,CrackingPercent_VT,0,49;CrackingPercent_VD "CrackingPercent_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_WA_2024,CrackingPercent_VD,-1,-1;YearLastImprovement_VD "YearLastImprovement_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_WA_2024,YearLastImprovement_VD,-1,-1;YearLastConstruction_VD "YearLastConstruction_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_WA_2024,YearLastConstruction_VD,-1,-1;LastOverlayThickness_VN "LastOverlayThickness_VN" true true false 4 Float 1 3,First,#,HPMS_FULL_WA_2024,LastOverlayThickness_VN,-1,-1;ThicknessRigid_VN "ThicknessRigid_VN" true true false 4 Float 1 3,First,#,HPMS_FULL_WA_2024,ThicknessRigid_VN,-1,-1;ThicknessFlexible_VN "ThicknessFlexible_VN" true true false 4 Float 1 3,First,#,HPMS_FULL_WA_2024,ThicknessFlexible_VN,-1,-1;BaseType_VN "BaseType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,BaseType_VN,-1,-1;BaseThickness_VN "BaseThickness_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,BaseThickness_VN,-1,-1;SoilType_VN "SoilType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,SoilType_VN,-1,-1;WideningPotential_VN "WideningPotential_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,WideningPotential_VN,-1,-1;WideningPotential_VT "WideningPotential_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_WA_2024,WideningPotential_VT,0,49;CurvesA_VN "CurvesA_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_WA_2024,CurvesA_VN,-1,-1;CurvesB_VN "CurvesB_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_WA_2024,CurvesB_VN,-1,-1;CurvesC_VN "CurvesC_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_WA_2024,CurvesC_VN,-1,-1;CurvesD_VN "CurvesD_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_WA_2024,CurvesD_VN,-1,-1;CurvesE_VN "CurvesE_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_WA_2024,CurvesE_VN,-1,-1;CurvesF_VN "CurvesF_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_WA_2024,CurvesF_VN,-1,-1;TerrainType_VN "TerrainType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,TerrainType_VN,-1,-1;GradesA_VN "GradesA_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_WA_2024,GradesA_VN,-1,-1;GradesB_VN "GradesB_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_WA_2024,GradesB_VN,-1,-1;GradesC_VN "GradesC_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_WA_2024,GradesC_VN,-1,-1;GradesD_VN "GradesD_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_WA_2024,GradesD_VN,-1,-1;GradesE_VN "GradesE_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_WA_2024,GradesE_VN,-1,-1;GradesF_VN "GradesF_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_WA_2024,GradesF_VN,-1,-1;PctPassSight_VN "PctPassSight_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_WA_2024,PctPassSight_VN,-1,-1;TravelTimeCode_VT "TravelTimeCode_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_WA_2024,TravelTimeCode_VT,0,49;SampleId "SampleId" true true false 12 Text 0 0,First,#,HPMS_FULL_WA_2024,SampleId,0,11;ExpansionFactor "ExpansionFactor" true true false 8 Double 3 10,First,#,HPMS_FULL_WA_2024,ExpansionFactor,-1,-1;SectionLength "SectionLength" true true false 8 Double 4 10,First,#,HPMS_FULL_WA_2024,SectionLength,-1,-1" # AlterField HPMS_FULL_WA_2024 DataYear DATA_YEAR DATA_YEAR # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 StateId STATE_ID STATE_ID # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 RouteId ROUTE_ID ROUTE_ID # 120 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 BeginPoint BEGIN_POINT BEGIN_POINT # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 EndPoint END_POINT END_POINT # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 FSystem_VN F_SYSTEM F_SYSTEM # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 RouteNumber ROUTENUMBER ROUTENUMBER # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 RouteName ROUTENAME ROUTENAME # 60 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 RouteQualifier ROUTEQUALIFIER ROUTEQUALIFIER # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 RouteSigning ROUTESIGNING ROUTESIGNING # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 NHS_VN NHS NHS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 StrahnetType_VN STRAHNET_TYPE STRAHNET_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 NN_VN NN NN # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 NHFN_VN NHFN NHFN # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 UrbanId_VN URBAN_ID URBAN_ID # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 FacilityType_VN FACILITY_TYPE FACILITY_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 StructureType_VN STRUCTURE_TYPE STRUCTURE_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 Ownership_VN OWNERSHIP OWNERSHIP # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 CountyId_VN COUNTY_ID COUNTY_ID # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 MaintenanceOperations_VN MAINTENANCE_OPERATIONS MAINTENANCE_OPERATIONS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 IsRestricted_VN IS_RESTRICTED IS_RESTRICTED # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 ThroughLanes_VN THROUGH_LANES THROUGH_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 ManagedLanesType_VN MANAGED_LANES_TYPE MANAGED_LANES_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 ManagedLanes_VN MANAGED_LANES MANAGED_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 PeakLanes_VN PEAK_LANES PEAK_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 CounterPeakLanes_VN COUNTER_PEAK_LANES COUNTER_PEAK_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 TollId_VN TOLL_ID TOLL_ID # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 LaneWidth_VN LANE_WIDTH LANE_WIDTH # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 MedianType_VN MEDIAN_TYPE MEDIAN_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 MedianWidth_VN MEDIAN_WIDTH MEDIAN_WIDTH # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 ShoulderType_VN SHOULDER_TYPE SHOULDER_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 ShoulderWidthR_VN SHOULDER_WIDTH_R SHOULDER_WIDTH_R # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 ShoulderWidthL_VN SHOULDER_WIDTH_L SHOULDER_WIDTH_L # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 PeakParking_VN PEAK_PARKING PEAK_PARKING # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 DirThroughLanes_VN DIR_THROUGH_LANES DIR_THROUGH_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 TurnLanesR_VN TURN_LANES_R TURN_LANES_R # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 TurnLanesL_VN TURN_LANES_L TURN_LANES_L # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 SignalType_VN SIGNAL_TYPE SIGNAL_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 PctGreenTime_VN PCT_GREEN_TIME PCT_GREEN_TIME # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 NumberSignals_VN NUMBER_SIGNALS NUMBER_SIGNALS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 StopSigns_VN STOP_SIGNS STOP_SIGNS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 AtGradeOther_VN AT_GRADE_OTHER AT_GRADE_OTHER # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 AADT_VN AADT AADT # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 AADTSingleUnit_VN AADT_SINGLE_UNIT AADT_SINGLE_UNIT # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 AADTSingleUnit_VT AADT_SINGLE_UNIT_VT AADT_SINGLE_UNIT_VT # 1 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 AADTSingleUnit_VD AADT_SINGLE_UNIT_VD AADT_SINGLE_UNIT_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 AADTCombination_VN AADT_COMBINATION AADT_COMBINATION # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 AADTCombination_VT AADT_COMBINATION_VT AADT_COMBINATION_VT # 1 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 AADTCombination_VD AADT_COMBINATION_VD AADT_COMBINATION_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 PCTDHSingle_VN PCT_DH_SINGLE PCT_DH_SINGLE # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 PCTDHCombination_VN PCT_DH_COMBINATION PCT_DH_COMBINATION # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 KFactor_VN K_FACTOR K_FACTOR # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 DirFactor_VN DIR_FACTOR DIR_FACTOR # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 FutureAADT_VN FUTURE_AADT FUTURE_AADT # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 FutureAADT_VD FUTURE_AADT_VD FUTURE_AADT_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 AccessControl_VN ACCESS_CONTROL ACCESS_CONTROL # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 SpeedLimit_VN SPEED_LIMIT SPEED_LIMIT # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 IRI_VN IRI IRI # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 PSR_VN PSR PSR # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 SurfaceType_VN SURFACE_TYPE SURFACE_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 Rutting_VN RUTTING RUTTING # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 Rutting_VT RUTTING_VT RUTTING_VT # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 Rutting_VD RUTTING_VD RUTTING_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 Faulting_VN FAULTING FAULTING # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 Faulting_VT FAULTING_VT FAULTING_VT # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 Faulting_VD FAULTING_VD FAULTING_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 CrackingPercent_VN CRACKING_PERCENT CRACKING_PERCENT # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 CrackingPercent_VT CRACKING_PERCENT_VT CRACKING_PERCENT_VT # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 CrackingPercent_VD CRACKING_PERCENT_VD CRACKING_PERCENT_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 YearLastImprovement_VD YEAR_LAST_IMPROVEMENT YEAR_LAST_IMPROVEMENT # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 YearLastConstruction_VD YEAR_LAST_CONSTRUCTION YEAR_LAST_CONSTRUCTION # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 LastOverlayThickness_VN LAST_OVERLAY_THICKNESS LAST_OVERLAY_THICKNESS # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 ThicknessRigid_VN THICKNESS_RIGID THICKNESS_RIGID # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 ThicknessFlexible_VN THICKNESS_FLEXIBLE THICKNESS_FLEXIBLE # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 BaseType_VN BASE_TYPE BASE_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 BaseThickness_VN BASE_THICKNESS BASE_THICKNESS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 SoilType_VN SOIL_TYPE SOIL_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 WideningPotential_VN WIDENING_POTENTIAL WIDENING_POTENTIAL # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 WideningPotential_VT WIDENING_POTENTIAL_VT WIDENING_POTENTIAL_VT # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 CurvesA_VN CURVES_A CURVES_A # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 CurvesB_VN CURVES_B CURVES_B # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 CurvesC_VN CURVES_C CURVES_C # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 CurvesD_VN CURVES_D CURVES_D # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 CurvesE_VN CURVES_E CURVES_E # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 CurvesF_VN CURVES_F CURVES_F # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 TerrainType_VN TERRAIN_TYPE TERRAIN_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 GradesA_VN GRADES_A GRADES_A # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 GradesB_VN GRADES_B GRADES_B # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 GradesC_VN GRADES_C GRADES_C # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 GradesD_VN GRADES_D GRADES_D # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 GradesE_VN GRADES_E GRADES_E # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 GradesF_VN GRADES_F GRADES_F # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 PctPassSight_VN PCT_PASS_SIGHT PCT_PASS_SIGHT # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 TravelTimeCode_VT TRAVEL_TIME_CODE TRAVEL_TIME_CODE # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 SampleId SAMPLE_ID SAMPLE_ID # 12 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_WA_2024 ExpansionFactor EXPANSION_FACTOR EXPANSION_FACTOR # 8 NULLABLE DO_NOT_CLEAR HPMS 2024 WA Washington Full intersection of Washington Highway Performance Monitoring System (HPMS) data as collected by the state department of transportation in calendar year 2024 and submitted to the Federal Highway Administration in 2025. See the HPMS Field Manual for additional information on collection requirements ( https://www.fhwa.dot.gov/policyinformation/hpms/fieldmanual/). HPMS_FULL_WA_2024 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzsvemTnNd97/ftfnrvnn3FYN8BEgA3kSIlipIs61qWvJTvmlQq iVOVyvv8HcmrvMuL1E3i3NStuuXk2oot27KtXeK+ASCxA7Ng9n2m9376SX1+pw+mMZwBBiBIEOQc VnMGPd3Pcp5zvuf7+/6Wk3jnnXeieDwuWhRFymQy6u3tVUdHh/z7D9s43sLCglZWVjQ4OKhCoaBY LKZGo6H5+XmVSiX19fWpq6vrU51nt+38eTSbTfs9CILdbvsKtmazaeOAuc1cfNJagv/l83m7eACk UqloZmZGtVrNgOvTDGyOmcvltL6+rtnZWfu3Pxedxs8nsdN22257UlsURXqSmwEWgNJ+MzAg3oNt wbQetsGilpeXVa/XDdH9cWFcxWLRGFc6nX5U97Lb7tP8AuFZ1m776rbYE0oUDLA82wGg+B12xWtp acl+8j5Maac3yYTge7A1QIpjhmFoAObNks7OTvX09CiVSn3i+3zG09bd9mibZ7e7bbc9sYBFSyaT d0zAxcVFY0CYiOVyWYlEQtls1l4AD4ADmPBvPo9Oxfs0/saLf3sTEFDi3xwLAINZoVvBrjaDIJ8D 6JhUfG637bbd9mhas8Wsn2QicAew/I14gAE0AC1MONgSZl276QjQ8Hn/Wd6DhfE5jgErowFKHAdg Q2AHGD0D8yJ/u04GoHEMwPBRty/DA9ttu+1h25eBWd8BLEBibW3NgAiQgd0AGjAhQIRXtVq9Yy7y bxo/AQK+xzH4HkwNVubNSwAJMAPcAAv//urqqh2Tc3jvIccCxLYyFX3zgPkgjWuzG07chdG7bbd9 5VrsCdWvaIl2EIBBwZYAGEADnckzHa9DASiYdnNzc3cAxv8dMAKsvJAOKGFWAlYcz3cUP2FafB72 xTE4J+9xvq1crhwf0AHgON6DeC/5HufxDHLXpb/bvmot+pLownfRDQDJa1EAA8Dk2Rbg5Sc6LAWQ QbvyTMsDA15BgAeG5MGMf28GIDoOD6TXrLzHkHN4Yd7/jevg+4AZn9lpp/M9WCP3wjVzvid5ddlt u+1h25cljGhb+8iL5Ex2gIgb9SEOTH7MOIADgZ7P0AAvAIv3vekFcMGyAJt24OInf4N58T2vaXmv omdZ/M7nPAjyc6fN63CeLfLzSV9hHkVrj4PbbV8t/Sr2hD/z+wo63gQEmAATz3IAJEAAAIBpeeHd szSvGfE778Oc+E57h3nWBOBhjnpvpBfivbAPSD2oGefBj+vner2pudtcv3szfLfttiep7UiBZnDD kgAhP/n9y6fwEAwK6GwOSuQ7vAcYwZA2i+mAEZqUN/s43lbhDjtpXufyXk3vndzKJN1tu223PXkt 0Z5HeC+3p/fsAQRe2wKwfAgDgMRP7/nzx/JMBzADmPhcO9PxAaueaXmP406bN109o/O/e89md3f3 XYL/bnML0K639KvZoidcCkhg1sF6vMjOZL9fvIZnXJiB/AS8PHvCSwhowW7aj8NxiZznPe+p8x3H 7z6eC1AE2HYCVP4avEDvzVeuh985JufanZyfbE/yoN1tDy8DPPGA5ZkRzYvn92qAiwecdr2K7/pw CG/ieY8jjY4CXPDaAUrepPTA5UEPVsT37qevcHxSffie9/61R9i3bu4Tutlu221fxRZreQif9ODR BKaaBxfvqbvvl9pCBHwqDoAFIKFlATxbHQdTkHNwPtgR7A7A8WEMPlwCALwXYHnzlWP19/cbQHqg 4rs4CPwxvNfxQUDLX8+XUZR+0lfY3fbpAcun1j2JLcGkBGja2dC9Gp/D5AMI2iPXPeDw2mwOtn/X fxbA4hg+It6HMfDi+7zfbja2N+9d5DMApY/C35zOA2h5E/dBJinH84D6ZZzcX8Z72m33b8wxbxY+ qaCVQHOCZTFBd8KwvCcOJrV5AgBg95oMno35BshsZYbyHuDG8TwIAl68fCf7gFWuw+tXHpzao+/9 A9pp86EZ9AnBrF82lvWkmwS77asNWglMO5gJExR9qb0kzE6b/+xONLCdNA9kPnbLC/reM0kjQNV3 vAc3D2je2/hpNKwv28Ru9wLvMqyvdotvAq0nKQLe4rCY1Lj/PXB5b2G7Cedv7H7hD4+yeVHfAyEd DevhJ+DqvX/EWVFbC/Dls7BFGiYd+taDrCIeANvZ3JPaNsfE7QLWbtsMWu2A9SQA112BozAYXl6A 91UZfMkXL7L7VJp20+vzaJwP/az93zSEd8DWV5zg+jwb86Vs2gFou4fSft9Pct6hX1TaActnDTyp 97TbHn1jPGwFXPdrjxPYtox0Z3L7sAPfvHDtPYKYZPz0nr92M/LzAjB/TT4Kn5d3IHCdxH35h+JN Sh/1vnkC83m+C8PkszuJBXsSNprYBajd9qDAdb85zGcfl7a74+JQfuD7SqPEWwEM3jzDs+ejzTcD 2GfZOAfn3tzo+M3ve9DyYOUj9H00vr8fzE7uxYv9T0rzA84PwN222x6k7WTc+LnyuNj6Q1ez42K9 hkTlBl4+TcaXdWn3Oj4OEdvnEfqH4Ks9+Afj04S4Fz7rJ7u/bl+Q8Elou2C12z6P9riDTx95+U3M M4DLV3Xgd89evGfi8xLuASTEeB+e0N7Z91sdNutAXwRB8l7xZO1lq3fbbvss2+OcB48UsAAFNkzd 3HyMFMylvU78Z43aaFLT09PmAeXVvqXYVsDlQcp7Jn0wrS+r055E3X69nyWY+fO054FtPt+u92+3 fV7tcYdBfC4Fzln1fa6g98T5kAVMNJiQ90Y+auDypp23uzdPbm8W+sRpXt7p0B4I66/ROx38e940 9gzuUTzI9nLU7dphezXWzYC5q1vtts+6tWe0PK72uZ7Z17vylSGYZH5/QkCFkAWfsvOgEerbNZ9z CNuiozcXA/RhDx4wuSZfTXVz47s+SLUdmHztLf7mz+EBZDtxsr0M9Fb95INmt/rbrtm32z7v5hfR x1355HM/OxMR0PJxXLwIkQAEAArAy+ca+iqnn7ZxPEDEV6XwIMM5fGiGZ4H3yx/cymvIsXltBljP ItvZj79nnz95r92Bdttu+6K0sDWOH3d7LHCJubVnzx77HXCgMwCtmZkZe8+zC0DgUQAWx/cBpf7f gAbX4TeP9e3TmHSbv+tDJrzjoT3+64vw8Hfbbttp8/P0cTufHgtgtYdE0NpjonweIM1vUOHjux62 eeYDq+P4ACFsrj1tx5tn3jlA8zXrH8W97grju+1JbkFrUfeL/uOqM/eF2FWUG6coIIBBUb72sjDe O4dn8WE1Lb/not89hzAHb8KhPXnTsH2DWF+v/lHe427bbU9yC1rpbe2VHjZ7zTeHAT3qcf/YAcuH EviqowCF9xa217mCDW0V0b5V207k9jv78Hd/PNJ32pO8/erB39u1pl3A2W27zTXmgl/Yt4tV3JzH +qgyRh47YPkKpP7Gvfnno9J9fp+PWr9f6IMLnXCevyjyHelMTikyNrWwXNbyOoDYVG9XUj0droih bxyfz7l4sbri8UCLqw0VK011dhSUCjh2qFjEEaUA8zaWUIPk62LNPsfzymZSymUTCuKhxOeJDatF qjYC5bIpVTln1FQhF1chh26XUq0RqFEvKpPyoOvAlRaGDJL2fR2TrWR0B7g0H8HPvXPt/Gw22WbN ORWciU0f+gEFu83d8c765veB9AUSffOb3bazUb/HZBAkWjX2nefTL0J8nuO3PzfPqNs3LPFpX+37 VNJ8iSEfEuM+S3+5vQC4v41r3Fj8fF6p0xGd44U+cyWUQuvKYrmpXDajVIoMh7oidJq4FEdrTNC/ cdUsjCVSKumu0fbGjMW1tFJSpdZUJhlXKhlTV2ehde0b98TnctmcGg2shk/eE9fB++VqU5UqumpS nYWMmqGzMtx4RFYIlEpnNDO3DhyoI8ciupFutiGlOI2U91ZLDZXLFSXiTSXidilKp9zz4Jybnx/3 5QK/m2qEG/1YC+NSWFbQpo40orTK1YaS8bqSQUylCv0bV2cHCz39XbeR6o7j+ozrjZpOy43HN7bw cxrvhrfcEYqs4QLH8s3KRekxN2+aAQ4wHg9IPgYJoKETvacPM22r7cTam4uVqrRtvLqB/LaP4nJN vz1f1OJqqK8/3aGXzxIJ77qCj/EZF7sVqlSu69IoA6qhX39YVbFRViEdqqsQVxCLVK5F6ulIqqmE VtYINm0aYPEAc5mkOvIOsOqNpuqNSOVKU8VqTL1daaUTDaVTUl9nQr2dxHHV1WjG9dLpQB35ZNv1 kHTuJh1gwJj3D5332jcOYWB7gumBw8FqezQ8H2DFc797nY2B5RvH8c4PZwb4992/EwkG4Eb1C/9+ MkmZ6+CuldUPzPZ1xmmDMSWTd9fp8vFmyeRGmW3Atn1jXXcvG88aAAbM3TPmnBvxdl6DdADXyg2N JzQ229BgDwtNXB+P1pVMxJUMQpUroap1zJ2YBntd3NutyZpSCWn/UEoDPYGa9ZjGZhgfUj4TaKUY 6dZUVcP9CdXqDfUWIu0dTCmdjOna7ZoGe5v2CFKJhL3HZbp+4ZpsFujD62X9+oN1jQxm9O3nk+rt CLRSCm0sjU/XlEoF2tOf0L//62U9cyKt77/UoUTc9e/mIGLnnW7o/NWSLt4o2tg6czSjfCauQhSz seufd7UW2bjMZDhOXAEgHTVVLIW6OVnT0f0pLa2F6srFVas31dcV09JqUx+NVRSLRQpiDbun+aVQ 8SCm7o649dFIX9z67INrJfv+SH9G3R2B9vZzrVyju1aejwP5eltFlhUdOHCgFUmwMWj4/GMHLL8a +MGKN8+HA3DBABaD3a/ofhMML45vBi63ajjtqz12hMnrP8sDfPF0TrVGZIPWe/A2x27xIC+PN/SL Cymtroe6MZlWJYS9JJRNx9UIm0ol4to/lFSlHmllLaZ6GGl5LdR6uWkP8tBIWp35uJZXG6z9KpVD hU2ptzerlUpTE+M1FbKBXj6T09Ja01arPx7q00BvQoYrdzIBuC6f2rQBrBupTu69dlq+mYm2B85u fn9zP7bXAN8qqn+797c7zlbvb3WNDgQ3p265Sb7V5/mb75f247bfa6MRaXm9qUI+zr52KhQi3Zwt qhLF7VmEsYYO7UkbW5qbqKpcg8EEWq8Fmpyv6+KtprGLcpRRI542MLs1V9XpQ102ft65XNKt+YrW 6knNLMb0zLGMagrU15XQzGpV+Q52HI+UTgXq6UkobezZXSfnrPKK1tXVk9ULZwraP+LG7kfjRf3y /aIujbKwZnV1Slood6h/oFuXJuMqZOL6xrm8EsHGruyuj9wi19Wd1sH9BR0eSeno3rTmlxsqh1Jf OqmubNyuYHapofJ6qI6utBZWQl2dJKc2srlxfqyk+VJSw32Blot1jU9XjaFeGqtrtRTppady+top iiBEynWECmIx7R9Ka7AnUC7j7i8/ta5yWFdPb1r93UkNDTqm1T4OHEFxzwqgLRbXTWtmnt+9yMUe P2DdbVIEBl6++ml7yWNvLvjCgl6H2pyr6CeGH7DtZWT8xMxnAx3aA0eG+m9V6M7b5pFSiUhnDkm3 52K6Pp1SKp4ys252Ba9iXJ35QHMrcfV2BRoZjNkAT6ZC5dVUrdHU3HJTCyuR1soxA7AgntDB4ZSe OpLX7FKoqcWYThzKaHE9ppAJ1JAu3Ag1PhdpT19KB4eTSiZiahr4trhSJDWakepcdsRqLQWstnGK 9O+K+5tbEER69701nTiQ1vhM1Vb6wd6cTeAr41V15BIq5NLq645pYTWu1ema1irsG5BQLYw0MRfT gaGkTh3qtMk4sxRqab2un71b07ljcVVqST1zIqW5ZTI3pLFZ6dpkQzE1DCiG+zI2Lqr1QEESE84x 1lvTNU3NOxZcqiVUqoW6cDNULtvUU4czOnkobuNjdpmVKGnj5vSRgmr1SMcPZLSw0lA8oBrv3c/c QLAeKZlKq1SNNDEf03oFlu/+dmumZqyesdXblVE6zfiMNLcS6sCevDEx2NTyWky/fG9FfV2R9g2m dHVSthDfmg71w1c6NdCT0o0pabgvqXPHCypk4/bCPPbzqK+nqXKtYtfvNOp7xx16UuIlic3tCwFY tPYUF2+XE5vl9S3+5rcX86WcvSjOzYHIvlrE5tr0Gyuti6B3Zsf98xeZ/CP9gZpRXVfGARRnboH0 9XqkuTK2vgOLvYNJY2TrJZiVAzLAsFwNVa5G6u/CvJBNlj99rUuH9qT0lz9btgEEw8LWB0FvTdU0 vdhQNpPU2HRNk/M17e1P2kBhELrVs9VfcYmFKWwCrugTMfvsAKbObms9e6y+mK34a6VQS6uh/u53 a8rn4nr6cEanD2WUScc1u9zQnr6ETh10TGtqoa7ZpbqWVp3p+NzJrJlVTMbujqY6c3FjJywc66VQ ewcyGpuu6/mTOc0uNpRMxvTe5ZIx8Tc+QtKIDLwYN82UDGxW1kN1FwJ1FWA1MvNvtRjq2nhVw30J Y3+AE2NsegEWmFK5EpneBagMdmeMkW9usKPrEzVdHa/q5lRNL3TlTKKA6R/ZS6gQelzMWCSsf2mt rrmlhpnFe/rIBJEmZupaXClraZ2A0YT2DSV19hj32NC541ljV1zbR7fIIInp5AHZvbRHAc3B6Cqh jVHmDVrxTnDAyTjbzMkv2rj2FwzFBZxI1/GaFSDV19dnYIau5YGLBtviO4Bd+8YUmze+8BTUb2rh QWzra0GjiCubbmqwN61mGKlcbxog1BpxzZWaWihinye0st7Q/HJogzCNgFtnZXd6Sn8XVDlh1Dmd SuiZ41kDF8xIwG9yrq7+7oRRdEDug6tlHd2bMlOTgTaz1NDcUqhj+1N2PQaapg+5CQlgwb4Au7VS 0yYgouxXqdEHaCUzCw31dwc2GdEoZxbrBhpMxPmV0PoItgNQ8Tv9ns9I82uh+joDHRhKaaUYKpUA mALtHWiqZ7JmoIJmxPtMPJjE8f2YUQ2tFVl0WKTimllsmC7EZ04ezOjkgYym5uvGfsdm3HF40OOz dQONg3vcM8XxMtKf1GopNOb35sWSfeaDaxUbU4yHlWKody+VdepgRr+7ULR7PHkgbd/nWhlTLJ6Z VNwWPa6VcbBeZi44AZx+AIxZXDFZOSbn4Zw0Pju7UNPSWsUY1L/4elqnD+M0iIyNfu/FDtOo3v64 bED0/Mmsnc8vnE4fdef6+FZFb31ctDGNOQiweeniXq09I+ULAVg7yfj2WhXgBUAhyANOXoj3Sche 2/IFBAEj/s53/P6HPl+v/Zzezerrt28LWnFpsDvQ10/Htbpe0+RySjPLMVtdrEWyVRFvE/qVf7NS hf1EGupNqKcT3QuzDsbVtFUJJvTiqZwGuhOaXqibrvaNs3lb3S/erNpqum8QAVQ2mLryoQ7vSSmX 2RqIOC4rPlT+y7aBxk4aj3hlrWkgRZucbziPbK2pG7drqpiJ0zQTCRbEYgATeuujkk3cpw6n1dOR sP4GOGA1uXTMzDDTL2/XNNBd1rF9aRPlYTwHh1JmouPRnV6s2+/5jDP9ezvdwrR3IKmJ2bqJ6lPz DXXkavacYMyYqIAprSsf2ItFDVPxrY+xLKRCJqaoIzDw2T8IuAUa6A703pWyMW5M1VK1aQAFuwE8 WECP708ZoJoXOy4DUbTV89crunG7aswQqYFzrhabWliua+9ATFNzNY3POuD/xjM59XfH9PWnc2Y5 wNYO7kkaKF4ardh45By5tF9EN54H5/v4ZtnG7pmjWVVr0rXxmvX7/ZjWvQLFH1uk+4MI8t4Tgono xV4fK+UTm3nPbwjrN6po3+vQN++ZaE+u9nlSW010vok5kUk19YcvxfSLC5HG53AKSL28nw6Muq+V m8qm+FzMBiEPFWrOa3GloaW1mIHTuWPOW1OqhMqmGTQcP24rPZSbAXTqUMYGAUAI2DGBYHVb0f+N vnKTC4DdDtS+rI3VnL4CBI7sTdlEZIL1dEiXx6r2YjJj2r32nNNomFw8m6AYM1YBO3vvatmYBGxn YbnRCjeJG2Pl+DfwFiZjNhlhTTzXizcrajSdOQRIPXs8Y9fTU0iorzth5iLMg7/DbnjOt+dqyqZj dh2ml7bYPA1WPtiT1JGR0MA2itItVtjQi0/F7Ph7+pO2YCI1AGLcB/eO2QlIc53cb6XqzEdYOuyQ 64JZFfKBeavfu1KysBrCewo5qZBOaKg3q4N74jp/vaqPblbVkXd9gROIBRW2ByPjGrhfztfTETPG zz20Iiusv3BKocW99lyHMU/Y3H5tb+7RmIP32n3rCw1Y/rNejEd0x0T0ta18eoCv6e61K++V8jE4 fB/W5cMVvHDvQQ23uC/dsl1jAPR1BUoFZb14IqWRvoSuTjjzsFiG2TBpIjPJOAyDnLiaXCahwd6k jcqzRzP6N7/XbSsMtPz6REWjU3WdPuwo8IUbFX3tVFbdhbh+e75kqyfxWayuvO7VWNXRPb4qDRAA lBZWCT1x7BjzB3BneA32uM8QvsJzwBQb6CauKtLFGxUDjtGpmi0Q9B0Tem7RreyEuBSrTVuEaMTg AVIsAywaM+sNY0FonAjZTx8BRAhNSRgoeqaBLvTGR0V7doO9CTM3WciuTyD0By3m0zRWxMhzepVz 9vCev09MPUC4YozRgd83z+UNfDAFud+hVr8AXM4sbdpiiLg+MVO2v8HIXN8klM/GNTVX0dRcWQf2 5HR8X85Aqasjo2pdGlgMrW9h+jCr3q6Eju1LaXymrl+8V7TzszDennPmbuB1wiLn5R4r1ufPnsgb qHKtSCaf1in0WEb4ZmBod0lvBjNf/oXPoE+1B3h6vQtG5bcn88ypPdfJxwG1B8d5s9SFPNytcW11 jfY3RTq1T+oqNPXGlaYq9UCn9seUTTRtYL1/LdS7VzHNEB/dinNoxGlRDNqXz+SNQmN2QOPLtZit OitrTmNgkCH8evpu2lRTJtZm0rGWI3y30VeI52h/dHI8FqkjH5i3arPL3Ey4mmNNOEbe/pi4oIZp TuhF6Fn0L4sDGhSggBkHg8AUZBjAUNCqOAYAgUDPBGTCMqFfOZtXV/5uVgsref1i0Z7v8X1pLa7A OIjniml+hQXSmWpMasCT5zw+U7OFDCfM8lpDH9+qGqNjwiPi1xs+Li1m39mqmadub2ojzKXlPLox WTWAxhlE/NTyWs1iqPYNppVOJZVIprRvOGvMEXMY05r+PL4/Y/FUHGt0um59BMCz6AKc0/NlTcy6 83BdMDAW9wvXy2YlAMzIJSvrTjJpj6vaqvlg1e3aF2ZJ3q78L0zI70oNM/KBgD7cAaDyoQ00juGB i+/4QES/fZcPtHTeQhe8F29jV/ZjG2RgNWWyVKoEusW0vz/SuUPSoSHitkLt6XHRym9f5dPOlOPh ogegR6GJMCHM7dsKR2BF/cV768ayvvt8wag13/na6ZytXpgo/LftRfn+sw1oI9MmMEsfRXhDO2Zz nUxcGk4FJt5O88I5TIj5FWzEU32ahk7HpKcv0Z5gC1sdF6bzzLGsMS90qv6uhHleYQAAAJMXMAPI ujoC1fHGLVbteIjymPiwLLyFE7POy/vrD4oGXOg3Vcz91VATszV1Hc7cJShzLJjct593TAj2jLkK eJ09mrXP0adoYRNzaK8yrevKWMWAYLXU1DuXy/r+iwVb8GBrzSiya76fcg0meGDgHICYWl9BVytk Q/3m/XXBGXu7shqfdVoeC+TodE1HRgiQTWgYxlWI69CwA0DMZsxg5gDAxOvGVM2YfTKImxcWzyAe xtHpio7vS2l0qmpmqbHAnsSO5AqChr/QJuG9TETPorx2BcOiTpbP9fPCuv+s9wJ6PYueIiqbxned MO+OvVoOzf7v7XDGN7Eos0sAmSwMobtwN9Nihbh2OzRhPEgmdOZgQ4eG8MTEFMsFOlQjKNWZZyMD Sf3e1zoMqHiQABFxOjCrdDIwUw8TYd9ASv1dTZ07mtGrz+RtxfYNz9BOG+YRIjKeGAZQ4iFTt7x7 HV2HyewXEsAKMHTR1TEzjZj49BWaHSvvdiDJ5MFDx7GGeiluqE/VPHxjKhGesNVZPTPis3jr+MVn IKDxVGpu6J85ktFThzJ2r/6eEbCHekMDuku3Kro917AJjInEv4/th7URzxfXUE/S7pvvcVyeGedY XGvYwoFEgJYEcDAcAaMhez6OMaFPfYgnsEiUPYHIsG4cBVUlA2e+EfVOGMVwf1JH96XueOK2a5iW l8cq5mTA/GSMYw7C4vzYHu4NNL8ilWsO4K5NVI05wvJefjqv7zyft37j2V6bqJlTiHFN7CD3DQtD h+N6iYiH/6N3cb+A3vXbdeWzMK6GRgZSOjKSNLa1k2ffbkV9YRnWdg2TzUfxAjaAFS+fX0jjp9er aLAqlw/lvEapZFM9nUkDDQ9+CI1oTqRVdOdjKlZieusKrthQ+wdievZkXv29CYUNHoYLTGUAHt+X 0OWJSL2dkZ46mFCnpfk55oEISkrLyYMpHR7J2krFioY5Nz5bM/Z183ZNxR7izRxVR+v6wcsdBlYE nz5Ms5V6sa7V9eYd8/NBG4OZCYvpwn3gVTN2F8kAl57dN5A0bYV/rxKS0YpJAxzLVaffAGKbG8fA s4Z3DOZhn2vdqjedH6Rxf/QdMW7bNa4XM2RhtW4pNWgrhDjAdGAcxBF9eLVsHiyADJYEawN4mOB4 wbi/dy6VNbPkzEbAnOeJ55eUGzx2pOMwmRln//jWmmKxDjMl6b+Xz+btWnG2cM8wEkw+glER3AEA Xkx0TFMEem/WYu7GYniwY7a4wc668jtLwocpnb9WMY8gi8ULp3Nm5i6t1nVjoqh0wAJOLmxDscjp aoBPRxZnFFZNZO8ByoyLdy+VDKRZqM3r3YGjKTIw+/ZzBf3FTxbtue4bytpz4QoBwagZqacz0NF9 6bs8iPcvab6x38MTB1jtzQePLiwsmHnH7wjwIDIeRB++4BNkmSjrlUBBHe8dK167XsZKg/uZqp8J TS72SOYPAAAgAElEQVSl9fbVqlbXpOeORVqvZTW2kFFfZ0OZoKLF5XX1FJo6eSChPQNxlWppJVMY awCaa/sH43rpVFwvJQraN5S3FevnmHuHMibIXl6oWIwVJgj0mIlhmkMrZgpAfZiG3oVLH8Cz/LgH bKzIsAomFJR/qA8vVUodWbciYqowoNFvPIvycTeAGiYvE4yuZWJsvg2+YzpMEDMdBJOOCcGxmZAI 35gK7cm192rFCoDKZHCxa1s13qdfpxcjA/KbU87zxDmu367qnUsJM69gUXjDPAOC6fQnYmaCwToQ sc8eyerkQaeFMWkBqGcyGYtLAgjHwrqZvJg+XoQm1coL57Ab7hXQQXvj2NeLaD3uPJiOmFJoPlxT V4uFcU0ErhIGA1h1F0hhu3//YMo+ezxruh4yhMWQGXBKUzNLWl7GQwrgx1RuVHVgOOski4xLVcpl 46bhoZNxXZjPPFu80LArrpFFC7ZJnxFIykIF26TPsBzoow+uFI19nTzI+HGxazu5/nvVoHuiAMvn BraHJeA5hDXhPfQpOzQfMX94D0nHoYK4o8ToUJZ5zyodb2qlJC2sp7VaSSqbicyTlErVNDq5qvM3 GjpxIKuDg2nNLRXVnXczIa6GRnpxdyeFB9Zr9jy07nxTSiC0uqjpn761rp++sWqrEWbFd18oGHgx UAGHf/XdLp3YnzbwepjGJEEDIQ2okL23y3hzoz8AO0RotBRAFAZhUfptYwbWtrkZu2qZhnsGkqbn YAowoDF7Ng9MjsckgC0gABP7g5bHpASw0JjMC0ty8D2uGaDkejG7CKDcrnF+zFRirjBT1sqOGeBu /1//86LphrBa/gbzcpHggU1ctC6AlL7lOveTwtLJtcWNSRHMaeZbSwjvTcU0C9B1uXPAqO1am865 AqtC/+E5o2vS7798b12jMzUTpDkm5hLHe/tSydJgWERYIDg+i8Hbl8ouk2HAJfPTbzBCvsPYMk9n azEBCInK54VXD/OU4/Tkm4r1NFSqBVosZizlh5CPxTWZfkqS96lDacs9ZIFiESNanoWs2tM0oIct AmyAq+//gaWG9aMPK4GNAk5/0xVocq6q9y4XNTKAYyN1J6rfMjuoNrGJkfs4y+1awgPAk1Dvyd+M r+AAWPndbNrLD3tT0fSvhJtcBK7NLDU1u0yckrR/wAHEralQN6aLlqnfnUvr3MkeLS2XdPZQRXOr NV26UVFPuqET+5xoHDbjJlLui2oKbdMKd22sQPz91H5pqVjUzHxc3V2dBlo8dAL9SFRlMCFmwjKg 2c+dyNr3wcKdNq+58tBhP0wszB4m/Y6+b+a1G/BoKByP62AgPswwYLIwkbgeAiwZtFuBlgd1TMuo f6MSBW7z96+U7Bi8AA4+t9X3MautEsYDRPPzOSbG9ds1Cw79xlkqzeJdxPNVs/44sjdtbnnOj/6I HsgfmGB8jghz4q0IymQy93elXMxXQIJ7SicPulCE89fK9n1AmAXx9nzdWNuxvWm7J8AKBkZ/AwyY qAANWhqNkAR+vzpBHFTF0ofQjd64WLSKH99+nsoiMRVLTX3QOhcR+p05x1LJK+RevZaLCYepT9L9 ermh+VWyQjLq78kpmWpaZLSZmx2BLtysmCTw6jkXvoBJCWNEE714y4XcAI4Ly6GW10OL3Ode/uGN NQvZ+f0XOyx8A/ZM++4LHfrb3/C5ujJpMj1q5iUHpAFy+ovr2/yc75maAzPxMU33Crb0rv/HuXW7 F+AxBf12XN4Nyns+hcffC5qXL4k8vxrpNxcamlvLat8AaTl1HRyUjo4QwBlqYj5SLF7XxNSKOnOI zKFOjNSVCeI6PESfUN4mpe58h4bXyQGkFEykjqzXcEh2RteJqa8j1OTCmpWjWS6ljcWwAl0Zc65l wAKazwC7l8OHLt/Yi9DpQJgg/M5qu7jqTBCbZH0MlPv3oY/34XsIrAAd5t+nbayoOAy4P+4ToHYu 9LtFcOKXYJf+YnotNSZufff6xZJNDnNGDCaNYfhgWR/0aPlp1cjY2k4bEwR2y2Sj3//0W132vD68 XrnjvWIC4XCBUaG1YcZhXjPBuALMX8RxJir9jCm8f9BV6UDrIX8Ujxqsxj9rS5NKxSx4En0KcxKG xXPn3mAuTG5CWTgXfQSoEWIBU+W6r07g1ZS+fian/s6EPrhaMcCsNaTDe9I6cTBl4IpGCgijq6GJ AVpcI8wXhnf+6qpmF6taWM/og1F6pWxgwb1TzwunDcyIRe/Hv16xayG1BtOWgFHGDR5Srg0rhfCQ K+MVq/BApgbPgz5zObHu2bJQME7HZxqa73CsmM8w/ri/wZ6tC216J9pWLcFGoz79xe8d6PcK9Lak Dwlg4jyKOucP23zZFxpewnbzr7+/37QsXu1eQ18vaWI2VLGW0ktne+39C2MlRWooEXMpDmvlpHlV Xn6qplyaomxQ8pSOHepvlW6es37p6enS4WZDr3+4pNGZSMf3ScM90vxK3bxJYTNQf09atWZKt+dj +vBGqRUtj2cl0hsXS6Y1XR2rWh4YJgr6AgOMQYLrmggNuhhTAVCErfB39IGfvbOuXIYct4RNLB48 AwOTA7PlXh4kjs9gQeC9MlrVueMZDfe6pG3zIMXchHlYsg3wkBuHbnFptGrswIcccO8wKeKZCDrk PN6tz8TlPc7/5kcl/eObawakz59icUlaGAWgj+lLgjGAwf1jHu5EzMUE5Xt4vbjGd6+UlE3F7dgv nMoaAGLuMFm5JsCGa0abK5ZLxmIAH0IZSIKm39HiYEYpcyggQMu0ShoT89cfFs1cQ0ejP7iGUwcy pgtlYOMxWV8hSsNkeH48c54F9zvSH7fQll+9X7Sg1EzSxfFZvBPe2bb7hl0Rb4auxHXdnKw68Zu6 WyaeR4qadRUyjKekgkRKnQXYrHOSEO/17uWyLTiY5W9dKqlRd4sCjBTv+IXrFf0ff7uo/+V/3Kup hYbOXy/rl++vW3klNNn3LpetL12Wh8sisG39cvRpRW9cXFOpSpBtVv/yO922gFh9OPOaO8+zn+Nb bX3nW8KDAC+SiWm+vAMA5kMJ/DZc7XWQPm8zkhuhpDFgOjIychd19MnM7c0HmzbCUN0dMdOjGJxM kukF6fJ4TF2ZuL51tqlzh+qq1GNGyX99IWHC+3AfAW9VC6zz8V0LeCiLZYsBujAaaGI+1LfOxnR4 OK2h3pRuTAd6+2qgK7dZ2UJjRIAOAxAKDKuZX4lb3Avg8de/guHGLNbFp4uQc4YO8vZHJdN8yOXi 1gCBf3pn3VbOEwdwCARaK4f6+btFffu5vOkQTBAmiqflPCkDwqZL5cAE/PhmxcwRVv854pmq3Gdo gxdhlUH3aUCLY+OWR5QmX47JA8MgYvzICGy+tTltEDMmxcu3H7zcqedO5gy0/v53awaqMEBSU5j4 6D6IyjA4FhbYxP3aSH9Kl25VbYLR/0wUwO73XihY32B6odeQOgOI0WnvXy3bd7g2vGaUlGEimhBf okhjaGwM1gTIsaj4xv2dPpg28wiR/d//zZKFEiysNXTjtrtnTE1LTs4HFnjKMwC4fKS7Jd6nY3dA /8NrZUuJ8eNkq4YOduaIuw6fFI/+hWcwHtW0uJ5QOpPX8wdxAiHuJ2wB6emEUSbtmSFd8PxSWefZ xmT97YWi/p+frWh6hWDYkvUBpicAzD1aalqpaaAG42IMwozpZ96nGOXNSVf9grg5TG/ul7EI04fF tofz3Gvvw0R7FUfffAE9Hw/hTUXMR8wsNCQPEO1M7LNuPrfQJ0VvblbOtZUM3R69jpl2aDipTDbS 5FL9jmdubrmusamq4lFFZ49Qbyip1y9GGptLqCNH/aJI736wZiWRzxyOKxZFmp1b0swilSDZwKKk rkykeo2E2KRN1qFuUhMCW02YkND5epUCcgiTLt+NCcBgJ22E4m+AHwMR7SKbgU009PqFklWtJF6G 3DP0F7vHJAPFaV+sSuSyrZdc4B9RyuQhIu5iYjhm43QfTBmOwaS1rHm5QEAAkonKpIB5cS2AgU8X ARy97sL3dsJojGkNp838YuVlgDJxcH1/4+z2nj0a14zG969/r0u/O1+yfoBVwogwb7gPPF+I0C+c lPJZCurd+3pgDeiF/9P/NWv399/+qEe1WmQhCywO9APxU74KAwsJuiOm6b/8TpeZtoQ9wP7oZysG mIvpxysrxoKZ4Dgm/CJhicpDbgIO9sR19kjGqhoAEojcgCHnghXxk6/BwGEdlgZUd1H0pHTx4jkA eO9eIXqcOLtPemLvLE7mWIrMxCXx+D/+w7zS8VUl4pRhyur5U3m7H8zbg8MxM/e4hp/8bs1yHwml 4HkDImhUYMPThzK6fryq+PWKsUvitArZmA7vTdu4Jch1dNqBHSbgmSNZW0wBcxqLw+vnM/rPv1hq lUyqmzkL7PAddM///k977/Qf83u7lmByt4PORgXLDRDzpV14wcK8uA1oEFZAnJRHxc+SdXm9aqvC XlwPZiGmoi9J42OzANhsnAFf0epaWY1sWs3OQMurkQ72p/VHXydINGapNR/eTOrAMJ6SuNWfLpZq 6h2gapBrDNC/f7OqsYWcrk52KpWsGZtaKjZ1+mDMdKblNbLmM5ZiQQPcACioew8rq0VZuyBBPGz8 fOkpcq6StqKhSf2Xf9CjP3uty2g55wbsoObkhm0Wx7kmTBq0DFzkP3933QYS52GCApKkV2Bq/Mm3 uvTKGVcjnkdcLGMmuGoBTFq8Z7fn4mYqEp9E4CGiMaYLrI4gxp00zFQmKqsozO1H30To3vmzBjC/ 83zBABVRF1ChoZf4+lCA4L/7/W4Lw7iffsf9sYpj+vz4V6s26ZkfMAy8tjwfGCyMDdMVZkAoBMD1 wqmcJSR/69mCmXtrrZCE310omdcMb+Pmce+KQOLo8fmJMet/vLBPh5EBMXpfIkjZ+1w/Cwvmmz/U nZ+tKrlPH07rrY9LFvtkIQItx4FveC7pJ0xaQAsmVK2U1NEZUz3KqRlzlR1YuDCxzxzheEW7DxYy QBGzFib3z2+vmd5GsOxgT9PGJlkD/9UfdBuTw3z2fT6QIk8zpxdO5myRwlwEBI3JNmX9/vLZnBKJ SB9eLZmwf2I/oJ7UH77SqWN7XSyYb/faizThN3bwVT+pY+5KrmxUL9gMYBt1o0Pb/JQYKFDRl3Xx APiot/nxVUbbj9nu5fS7SnMdvk68T9GhZnQ2EdPZw4ibNa2XI430xKw65OgskeIu7SeXwSSrqTMb 18RcqJP7ESY37p2H+F//QaD/9Etp73Bex/Z267fvz2vxfFPfKzZ1cj/eGgcqaGLUsgIwYCq8eHiw GdqJ/Y6anz6UtklxeG/KmAVmweaocR+rtR04AIR4bwA7dBIYHSWXGVxUyUQvg321my50I4wORsHv AAsrLqbJ1fGaiclMMLQUmE3qAdJ9zKTJxi0x+GEbx/jWM3kTejE1EIEBbsILMN0oZfz3b67ZBOa+ twuJYIXHk/eDVzqM3RBXBCvCDEZHwuTE20qhPdgsEgoTjcR0hGYmsYnEKcwfAhvdufjuZnOQxlRZ XAstgJQFhOBUWJ4ftjxbTCMA5e9eX7PJaox/qWGm4lY5+ADecF9SZ4/Kko8R6i1WqovNLBxwESrh mfPhkbSO74vr6f0ZXbhFQb7AmBWLGy/yKGGpXBfSAIsTDg2AmrH79afzJg/Q3ywI/J33AH7i37Za ILg/TFjYGRrtUg2LItTvLhZdvNp0RacOpvTiU7lW2Emgs0eDBxPdmdDe2+aK3pGXV78DYj6MwOff bQVenn1tZkGAC692D+Snbe1gxTlnZ2eNWflqpb4oX/vGDE7LSt6p6GAJ09mYnj8W6ZkjlI1FOA20 byimpw6RitDQm5dD/e9/V9fLZ1L645c3RECOhZv54mhcHQXM5oYGupz3J5bq1NXZmFYqrpQGAwc9 gqhuUloALly8eGcY5KcPp/Vf/H63DVKAw9/Zg+YBWgZ+LwGt5CvGbRXF3CEBlTgkBggDequ1w0c5 +8ZgJQq8/di0hwlIfRSN60EsxysFu8HcdZ6phom8TGKEaSb8q+fy1rftDTDGtKw2mjaJuA9e6CmY Xkze5bWygdJrzyb0V79qGAPj+Jg3BHDy3PwiY6Wo044NTc/XTXBubzhRYGiTtslFYH0JKHhR2TdY 3dG9sAlnamN+wpIxCblmQm82twQhFHtSdk2waTyu71wq2bFwUDxzImteRIAFJnp9vKihbgJ1k6b7 MRZvz9ZtvBGIiiZ4edSxf8YNsgkBnpimLrwjoedPdFgfA/qwTQR5pAvGezsram9YDE8dyVgoiJX9 KeLEiumH36AqsEt9o/ly3wx8TFkWA19dZbuW2MyY2rcgcqyFagbk5lFzyoUMeP1oK/PRAxjhBJiP XucCxDz72anudS9xn2sFrCjc55OcfQllzr0ZsGgOeBvGItndhax1QhIYjFSdtG2IIunMYbL82VaK 7H20o7s7kAJqzx2pa251TcPdTZ07EtdyOaHzow3bPiyIB7by4eq2pNa5uuZLriB7UCbS2ZkomBbc mYncevhmmxDkNlZwNCTMPsrUXB6tGrtAF9pp+6KF5JlJ1BFYoCKTH1ZDgTv6DbNzacBVXdg8f9BQ /uInS/qf/+9ZY030OcPupadzLrQANtN0lUCJx8pmYqancKxiw8VgeY2JOdDugWUCYy6dv1HRH7/a afmC52+UDUwp7Pfa83ljLr5O1FYNhwpeR5gtk99vJbdRCHKLvohRWBCN0Olm6E2wuN+dL1osmavO IH3tVE7d+Ujz87Pmwaa++2Cv8+DCLjG30T9/+2GxVXk1a+EXjFvi8/7p7TX9+Y96TUPj+qxA5GLd 9CukDdJuqq1NWLa6P97CucA53r1cskVnco6/sHOUy9vEdIQt07BE0gnp919wZGc7yyzR29t7J2YJ L5jfZsuDl/+ZTqdaOXpuD7FMhtwql/dDxQM32TcArL2Out9/DnDxta24KA9kfgMK/z2YnAcimq9/ ZQOl9Td0Kn56Lyc3uJGS88kdXfx+fQAw+8bdVVLmzv/cgEAoTyQIgiIN4ZOdxuCaXUnq5kxgtYOO jtRUSJXVncHjllQ9JOnT1eJGE+mrJWyQMVkwkQAPdAIy3d/8uGTaEEL3p2mbny8DmfpDiLwIzg8C WJ+mASawFhgA4RsDXSxwD46AaG8Lqw1jMVYlYDU0ExAvIR4oNBz0HAY+pgWaDPeI15NYJBwbH49W 9P/+YkVjS6HYscNM5w7qVblqGSf3Z7R3MKH/8PdLxuBIXkb/gRVh1mB2Yf781a9WbJJjvhNSAlBS Tx9mismEEI25is717PGcjR+rTHGfe3SbNbjPMVoBBeYUwHq/FiNkAUIRd3XWMNkBW7xuODlgXccP 5rSwhFa3rsHurB0bwPdjAZYIIP+r7w5aLurfv75m0e4ANUHOeJ5hmYA6Dh3CHwhpgM1zwYA+OwQB vFvhC4yYxR3zlN/nlklFIz2rpmu3XVoTXmTOB3N+66OixcYdGnDB1Fu1BGABM2FS+8J2U/MVjU+u KIhV1ZV3Yi0eMg8Ebp88V6iO5rfbQveCRfl/bwVefpPM9q2sPWD51Bpv2lHnym8a4QEGkCJ2rD3Z eSuQ2niwblCgYW0+1j0HROt/Ww26dDqpA3vSevd6RfPLdR0aaOrVs4H+4EX+2tTthVA/fZfKDq1s eKocBC415TvPFfQnr3XahMb7hQDKqoopgynH+sAgJBE13yry9jCNyQBQoUsg7qKTMdE3myaPujE2 AGe8mQx+Ah9P7Ifhbe3Z2q7hYsf0xqzCXMJsYnOGSy1B2dVtiozR+MqXaFDk/aEV8uSowsCEzMWk rt6kaXrlKhuKOA/gz95d0/eoqDGQMpc8z4HUlOdPZC2wk/vAHIKB83mzHmqugmwYRRZtzrlJNGYS 4m21xW6HffzJTzlG9qDKSSJwAAXL5lpJVuY5461rsONFGOrGxLrm2UYuSdG9hvUbQa70FQI7piam 3o9/vWrATYllglMJXmVMAjBE3+PtdGVnqCHvqrFu91xxSCyuJi1XEykEi2VxFc/goi0AjBWu2Tt4 WOD+z7+d1X/zvYaGh4e2vlcSiTHhenp6TG/ioRzK5GwX2+k5UkxW1aiX1d/popk9k2pX8qlQEI8n 2yp4Oq3IdmptM/+2AjHa5kAxPg+IeRZGdQY+D9Py1UV30nzIBnudeWH+XkFp92sumTqmD28ltFp2 ukSpEuj2SlY/P1/X4aGaTh2IdGS4qT96Sbq9EGh0LqmrE25rKCYablxKogBQRHVjlsAUYG1EGjPg 0UwAM4RyggVduZidz3YfZ0RJEu9Kx4QitYIdobbTHh5FMxd9Nq6DIynT1Fj5MUtxsWMW7LSSBH1x cA/6n8uRY9ydPZbVkX1pTc7VtLSasiqYhBr8zW9WjRG9/HRBJw6mLQSCAFzMDLQYGIvbKSZuHr1/ 971uM6l+8+G6mT6AFX30R692WpoKnlgAHxDi+pmUxMr1tWq+WyWC1l6QLthXevZExrQrtEO0tQfW Ia0Outs1xztdfCwVz+t+YB8n+yFJ1LxLb4JtoU2N3m4on4opl2yot8OV904mAC5X+gZwYvzRiAdj 7HAPgNFf/O2SbYxqfTFVN4kDjQywAszZFAWvuPdctw8r07zMqbBq5wE7xmbADCpAxHRguGDPgBg4 FlQWCMD2336vi1qt9w5r2LxJAxc70BuoqyOtAyOwgZJGb69obrVkux5Dral80N6J3owEUGBH5Pm5 MsVux2b/GX+e9rYVgGFCAqY+Wp2fbovx7V2e7cf2OYWlUvmuPQk/TZtaaOrHbwT67UcVrRXLOncs paFjJFlLF29BgQON9OO1i7Svnwj4UM8eC3RjJq2fvBHX+9eg1HUblAcGnWjJFREo+a1nCqZ5UJOd DZuZqLfnGzYhMUFeOJm10AKw308UGrdEXiI7UNP4rE8TgspjruANAzD4LBHfaB+f5f6FDFxf1pl7 4oUHk9U6tcOwCEwRp8hsNI6TSgbKJNMKhyMDEtgreW9MKsxDXPssAkwKChri4SRe6DcfsMtM3JLN YV54yS6P1Sw0giTuc8eyxjAsT69M5deUwmbShGZLq6k2FXQntIG3d18bkw1z8Rfvrptgjyj9oEwJ +SCx7OqmDfe6jS0IPEVb2up5NalSOst4alhsINolAceMBYCGcfb+1YZGegC9hjK5yCqIcq0I+4S/ cH+wuvevEJNWt0WAdBx0LDzFN6fcZhWAGH2M+YmTg/vDaUEALaEYmH1EznMN9B/jDvMRWQTznNE5 MesAC7ZPFsHzJ3IW78hnMR0xC6uDkWZn7hM4ikm4uSyp8x7h8gyUy6L9pPTLd1f0T9dXjW2dPgAN DZVPudIZ2M0eeNoByZuPGzu8bmy75XdnBpw2h0F4oGoXzjezo612wPG13NlBOJ9PKZvN3NHlPk3D FPjJW5Eu3w4sduf0vqp+8AIBnwjroa5O1JVJ4g0hvMCNZyZIFEa2stycqtuqRL/+9M11XRlz4ufh VMrYAO50XO4sFt88m9eVcXZXqVu4AoPl9QtFK3HCSmWrGatuayXD9Jokn6svYcIr57U4osmagRf6 mJU7MRNnIzn182jeXOG6P405amWlKy4in+HDpEPfYqIxOf/k1S4z//C20rjFA8MEXiYsZIEy1MRE EenOMELw5Wp+9M0OKyo42ZqsBDbCrGAaBBJTIXR8rm6mO/ewXYI557NNRFMkOLsJ2t788LsXU4Jx lCqR3ZOJ/ZSkGdmIUYosMNQdGxZ+zSotkAsbt23uWdTYpBUQ8sno+/dk1JsPVK+tqxqGOnssbYBN RgfshqBP8gkZW5jCRN7j4eaZ8Tka6WT0fbnqoukBUpicr/bqI/5t950Vp5vW603tHUjp0B5CUlyW B33APoWM08VVUtlqBoCYjMRvwW75XCF/Dw0L0PAbNGzV6GBE5As3G/r/flfVkZGCunuSWqlJyzzI sVV15RP67/6ox9gV4LNZX/JA48HMh1H45rfZaq/HDitzx3LaWPv3/PE9QGE6OjPVaWB8l5+EZ2yn bT1IY4J8PAZYJdQMmzq+N9ILJ+I6NkIgpw0jpQLpzUuhrk0iyMctQfTgkNTbRT4hybA1c71D+xGT b01VVark7MF+PFq1wDwePpfKgGPAkmrDe0R4oxsQGW07+LSAzzfilFyhwpiZgaMzdcvuZ7XDG8Rq yGTkK35bqc+zcV5fG+qhG/E5FZfsjQjPqg0QEez5LFH/cQcUmEW+0U/k+MFAMffwwhE4OrtcNuZC EC1gThlf+pB4IyLJCaA1s4+oe8rB4BFccbtEnw5in4i7am88N8APVLE8z7xLwUEK4G8+XsymRGtr LD8VEK8xbWHDmGmkDmGGEaIAY55eqNtCRD/wWSpH7B9O2ef/4Ovs40leYMWAh6J5tlPNelMHhhIq rtfViFywLI4FnDIAJDF7MDgf6W9laDrQlZrWVxwbp4arQEGSdKgzhwmKZucnKlS0aqC1HD08F9vg Y7pmLK6r5RBxzhG3A8/vLpTte2tFl7jPYmAlvmsN/dm30NPvUQ/Lxy/dY5yYyMjgwJv1rWednfu/ /XjBbv7skU4lMwnlC113BHe8jSurePlcNvyWkXAtEX6zmeh1ML8dl7sGpxdYknAqZR7C9lIyG0zs k8Gtj2KPPhjQzammRvqSisKSeTeWi0l9dKuppw8xSAGoSBdHY1pcT2m5GGlfX125FNn6SYs6R1th kpD7x+CDNvNQMWfcw2KguOhlctVYLRmc7LyL3kUsFQMBEX6zq5z3D1rtd9cFMDC8WJQlxjywhGY9 2Y3nzeAn3IScSDSaSHV985zbM+8vf75sbIRcRMa7iyJHK0mqu0CdKpJwU8ZecN3zHTrLttKS29SB dBLOQR9jugOOAAYazbLFa4W2ozLC85au/BjBwOlWvXn37ErjVWMwgAR6ImCH+cbGuAj3HJvnCzPL gCQAACAASURBVDN0O4W7lJpajYyJUNW6q4kOs+kqJDTQTZniujlT9g7k7mwPz1Rxeah1C0XgHhlf 1VpN10bL5vwB3PJZwmlcqpaLe3Ig466rocujVKRwm6ow5zkPTAtRnnhCvKbMQ3RKwiHevtSwirmW LtTqBwCOvjSTke3v0i7ty+e1ssjwmUI+qRtTpCLFLPWJfNHl1bJefbqmPXu23uMhsZnt+MYFc0JK oYDoICHBdc6dXLRJCI2ksiErxoc36jowmNLyelJrRWm9GFO5FCmTrKkz1zQGYuIp26xv49XzJqGx rTtCjZucrmNDE9zbt+RyTOpuXetRbySK+fX8cVy4bDue1OJ6XB/clK5PS8vFUN982pWSjRSo0Qw0 3FPXs0ebevYoxdxYoQjmTOrGZGCagz8mKQrkb/FwL9wo2+C1SqjdrJxJM98wEfEw4nHZqvzwHc2o xSy4dUwchFGYCC8ouivn4apsunpJeqKaL6nDztm+6gQmLyYIjIBJin7DJMJ1DwAQJInwzmTEvHPi NZU3A62XA/3z264aLP9ODDpdz9fC5/kw9ploLifURYPjycXU2u5Z0O+wSQoqco1WPNBeDiAAMxgF oMi/YUSAKZH71KTimonDsv0AhpylgBnIOMimKRvjChMCpr40kd/YAdZCACmgCugxbw/0k6oTKpnK qbOQsngxpz1h4rmyOPxE8uA7v3y/aPcHANGPMEucCSySVnEiGbf3AFnz0HYRp3m3ogd42g7Xkq4V qwbe/loBdCsPnUIPy1pZ6b0DzBtYJwHPJZ3d73T1rfZ+SMCKKvW4wsgV1KKTQV+qMHJTvMeEwF6l BCqdCe2mOJff6gdwuTxa068+KOqZ4xkN9KY11JdW2MhpfrmsCkGklaqaYd0+y7ZMrGSOBWECugmU JggtLkN4qCw1qPo64ypkXCeE6FNVUmg2Jqc3A+81AfkcDMjv1uz3edt5o/YRqxgmaFzlussZhBJ/ eJMdVKQ9PTENdksV6iT1NXVkDxtiOqF/ZbWi6XlqybsgPAYfDf2gERKVH1laBj9t5cm6ffSoPPmg 23vZ1k6tQYxJ5IELMdrVwKqbaYo286SBlm9cNwDOmCQwkTFJfBvmHM+YTRzQSWynl9WGpVqRF0i2 gavLFVnVCMCI5HPirryobak3JA+3dvIG6JE81hKhgQ2shYBIFuzN/YcDgNxMxkYh5+pv+XQYdpxm jwHOyRgghssmdqskMmManQ2zDwaJ1wx3P9fbrtY0rNIoG0Hgpd543/JC2TC1VSkVWQEd6kCfVBzM qNxwG64m6tSkcqI4QHN4xC2KMEp0UBZLYqs4PhiAVUB/MmfQqIjG92WSMfOoF884225fJ8DRaW7U A3NOkAFff2yZ8j0uNARphL4/fYhdfdwO75ubyUWwlaVVgvQIpnR6jblISUvocasWK7KVRW0hOTcF 6rMFEhfvwMD9jtDGw3ADIK2+7oxKFSajexFVjH4zvdJaNZN4fpw3C49CIogbWPEAKTjWU4g01N3Q /kHYSaiOfMIqOVJvYK1UVyoIbQCRaHx3yL8Dp1pdujlDwTw2hiQoNK6jI9LZw5hy289YrmVhNdL8 Kqt2aGD03PGEjgzzYEI9e8QlNb9zNa4bU9JAV1wHBxsan69rYq6pyUFczNTXboUZUDnZIoYdcLKS O6HSrbzoU7jj+7rdKKTKAZOKe/PlYdAoMPUwG3eCNV4I5rlh+jDwipR5WXN1xS0A8Altfodr2CT3 xvZY6IYuNqth0eyYiPzt/PWGsSsmNOMPzyCThsUTlus2KW1aShagzvdp6E98j+dH3wF01KbCw4XJ 5mO0XPXWmm7PlGxT3d4ul5zPwtyMAhWrcctq4HoZ55Ze0+tCAcyzRyWKuktc5tnAwglkZZzAFNE3 /QIbtUw45g6iOcDBHMIZUW+FbjDOqH3VW6BwJPXWUupMJywqneMRod9sjTnMW+/EYf4AkrB1ShBN LbLbdM5CbGB2WFSWU9qq2vH9Fzs00IuoTj16V6rZN78DNPeAmVosM37dprQwSvoQ8AfAAWzAFO/1 H30zq+6ck6k2B38bYCGU59IFNfJuJaZjoILe47LVxLBUBcTtwKHuxRtlO/Er7AZr1RDdoMGj0t3h XnYT6Cv5ulJpJ8jZTh15x+AaqprNHIdyrtfcjr6VtBbWI92aDXR9JqYr41JnIaZmA8pN9G2k3nyo Y/vY2NF55fq7A6PCIDeIPrcS09Xb0s3puG1cyv19cINtmCJ999lAHVk3+IEA21TBBkNc1yfj+mg8 bs6GiZmmXjyBLc8DiWlvf8xYVbMZU6UufTSKEC8dHo6p2mCQwBIjvXu1ocPD9CU7zsQUxpNWdoRV H9d3qVxVre5KzpBI28XOxQNucOJyZhC+9mzBzE3MOUCOgUW/Oze6W0hYIbdz/PlnzmDiVe8kVapu eWgsRrbP3RPYYEuszEx46o0RmMgE5h5h4pNzRLy77agYi68+U7DdiGcXylpZh2mSH0eMEXXH6zbe ASSAiwnPv2G46UTMxi1si52BKOJXquCdXFdXweXesRDPL9d0bbxizOqbz6YtLSoWueh8zC4WHswq vyUY+hT/zmecdQBo9XUytlyNeds7sbWNWjvZCFo1xLhPzE6Iw6VRl+GBVsbc5Xu18rLS8VAXxqhW EujAHpf8TOPvMFQkB4DbR9bbjuTzdYs2/6e3143lIbBjep87ljEmRUgCC6uFe5SbWrhVUWcuZ+MZ 4MFc9XWw+BxmplUz3cfiEdlCzJh0VURcpRBwhmsjZYe6danY1uFPZhIikPf359XTmVZPJxnmzbvY lO2OErotnVxNcxfSDyixXxl5QlwE2x3hUidAjwsF/Hg45r1pMQQr2VqjmJ1jbn63FNeJboshVjIr B2y7ILt6QHRiLIgrSFZd5v2+jFHYj8biWi7WNbXiNpWgfhSxIKxmuGY5P/sIzi07DwY3vG4pAgxC PGqRMS0qMA72ZjW/UNPEzLr2DcT1/s3AyhtfnijqqX1xnTuK4J3Q6x/VdHgYJgkNduk3c0u4c6Vm B/v2xXVkj4tWn1qMdOEWydFxPX2woUozVGcHTouMATb9RjmXG1ZJs2ZaFmImrJC4JWoUocng8SEi m8fHIOK8mCelGZdIysRlsCCKOmdEawOEVikUGBmD0+qMB24yUlCN1J1HBVj0L2BvdbM+42h6mk9M JtaMmComBkG3sEZy3rgCYs6IlOdDF64uaX6pop5cUYMdkdYrFGwEJDLGihhXMIu+rlYlzgDpw01u vNSUzaZ/ASZFNY304b3l3zAyt4nFQC+J/oHGZthpOqnh3rQUuVI0sHGsAFge125FDU2QRnZxqS2w D1z9bj9Ix8wBT6thb6J8zExO/gYTJ2eVhZZrt8V52WlLtjFFCrM21MJaUlpvqha6MBo8g94SQWSn SCHf4XrMWcNPzNWWbsemGMxJxhvXj9VFKWi0JvodVgsjZJyVa5w7ZU4BxjB7dLJY4OW2cZajLFBg piexhi542iVmcy1gxAdXpVN777HNlw8NoMNwtaIJcOEvnnZJmZgOCMts00RhOcqv+m2nKUMC+rKy HVpH0Fu28PrDrU7xJWfdFk54AthrTTZ5iElCtONvDAS/iwoT8vlTOZ06SOVCx/TGZxPmqTzcdIX/ Kf4FUAIWABWrot+0sqmEbb+ViwhmS2l4wOk3VJRk8lOrKpkPVGnE9P71mjqyTSXSCS1Xs7pwvalK GYreVC7lvBc8PLw7R/YE6uoqaK20pJtTbKyZtDK3XEOhkNbMct1KuozOBertiOvs4VCHhqhhzl53 TZ060FQ1LGtsrqFyPa1jBwoqllN651JMVI65uYDHFFc89Nn1xavP5i2Fh+vn/mFnmBOYAJgOvIeJ yd8brUWlvUY8zxPW6IMr1wouZodnCsX3FQgeRWNRQ6vhfFa183No5ryJOYDEzCA5moWQsi7kEXbl YpqabSgeY6ebkk7uT+rkwbw9TzIPJmerGuqDbaBTBQY+9KmZUqGLHbRKBU0Ahh2VpGoFk0g6sq/D dlzCW4mnnQUczxwCNTl36LBoQRTE29vntNZ8ltLj7uEYY4ZFtYE7QOUDgIkXQy44tj9jcUzcY9Y0 ZscATZiwKHjGTEzzy1VdHSsqiLlNSSgsuV52/dIUsg8BnsQ7yhZGxghjYp6x0DouY8uba3zG7+5M /h/gf3y/CwoFvNDRmMNDe5K22C63wmk4D31obChwW8RNzdX1Rlg0x53LEsBSIgvDVcIAwPGKo61G Taq+xO8T6Y4wXHT2LhMfoKISI0iJRwP0fvEpGViRN0X2P9oIwANF5kYROc1eXXTfgTpyLJKDmRjQ YmgwD7Z9y/Oo7FgC9i02NRQVEOMztgmDIltJ37xYMgBEIGVyWgrCYMoAiw7c25/U9cmqdSh2ODT0 4B4XWwNgUNcIYCPZEluZ9+q1uG7NVNSI6ppZLdlDfO1cnxLpmvYPlJRJlnVsX07XpqR/eKeuV9hI si9pmsgzx6XOLOKvtKeU1u2FpnpyDQPMm3MJVRsNDXTi7WiqK+9qfncmGiqVahqbq+jWRE2rq02L 1erryuqdyxW7Z5gCfZXJxS0OhwWEQUNQKS56iyBPup13eDEAuGcGKaBh3spWvifgZLXkWxsRACiV WsMmAvE+A7CPR9R4hvSprfLbbKj6WTSv05E3iakEg2HS/cefLimfjmt6bk0vnumzrA082m9+XNY0 ky0XVyK1qlQ6bVHx4zMVTc6VVa2FisK0GhGAwPb1pKE4hw/gcPyAC+QMo0CzS4j5znxDZ4oiJnbN QhAAE4ClWI6ZuVquNnR1DBZGjSnndEIGoLH4470DqjgObNltD9bQ04cd82M8B5iOZtrjSXdlkdZK DS2trGtqFj230Qq/aCg7HOjWTFyFQsJMW8/oCPe4Os4m9S6in+hzHz/F+AOgiQFDJmF+otXRr37P ALItOsO4xW2RkwhjMz3tlpN00PjABBgTlhGrittKzREGiAlmMuWVSZmDkLDQEEDKwnpzoqlsdvuM lARhAg1s8HVKo6AHpQ3psFGJcKUCJlQU8GElxyxkO5+eQty8XD5gDNuZTiS4js4/c9SV2YWBID4y gXzRNBPYG5GBkzdJGAzebqc5/cF5bILWd0lA5SeTlDpEboI7kAXRKX3BddOZUHDeR+dZL7mddilG x98APuc5S6tYqpi2QclYcsCeOdltAW0UGxvpi1SLZTW/LH1wizSaqo6NuLgSv+txbyFSX76miWnM EnLOIvMUTiwkdWsW20x69WnnWbWE5H0xDfRQW31N0zUmW8YYJQ/17RtVO/bSWl2dHYENAryw9CMT ATZF7E67P4brQLu755ZXqZiOpFOW/EuUMiy2vYb2o2hMCBYm+gpg3FyX6mEbYwqtA7bot7HaTlfl 7/QfpgtF/fq7Y/r12yuu1EqnY9ns4ILmdTgfmDiOubNarGhihrSyhhRjP4OUFWF0oT0uDIXJRAki FutGCAiVbAEGjBijgJTfBAQrgLHLxGVuvH4hdJvVLpRbpnPcJjDj05Uzdt5yYx+tmlqwLTyfBHXC RBDlk60dr9tbuRLXOHXmi/QNIEDxwKbyuYyqzVCJunP2EEKAvkRSOaSDXEIWbvOyNty5XPHAqOVs cMUqAU10NjCAcUpVUpjSgeGU1Q2jcipEhyR3rAH0N0CIMWCmHxqVPZO4sU7kJMYJCxvA+3tfK1jy OZ/DfATM71VZxExCIsKbzZRRWYqcIfzi+bBcLQsdiMwM5AR0F5UncVcCAl6DshbIIofbO9XFtbh/ M2ldLJArHoZQx/HpBMv6brswOhHhHduYc8Es0CeYr4AeqwMPFUCi8+gsABDWZ1sctbydrCp0FhU9 sb1p2Nw8kJMHsxrs6bCyFkvFtVbZV+oS4VHEbZxSNoPXpKqTBzvUVYD1rejZY3Hz/rGyHBrmPFVN L4Qamws02MW27pHWKimtlALNryR14VZNR/aEOjqC5sDmArDOmD4eq+vj8ZoG+wgCDPT2DVmhOYvW D2RBjoidmFhjMzJzg7gX8hC32kOQ50R/0v+bExdYaHBIsLB8MnHk0TT6GTBkZXU1xh5+Mwvf2AQU c4R74/op4bJd9VVfvYHnzuKENvLTX2P2sD192pgxZjsMjMnfWUirvMBmpq6SRyJBVHvCnCbJhAum hPkzL1jgmBcI9UwuUklITj93NGOVQ1ko6Vu6FtBgfBMPRWwV1W3nl90WcFYFIsOExEynYB/OJbdD zb4hgmLdxqqA5UunXbAwbbsMhXQqUF9PXtWwoUSqoI9u1dW02nDU9icUI7xT14tFjYKOxJ757bjQ RwFIly3gShJZvSv+iF68x2VmMH64X54x1+I3pb1yuWrzmrlKX8Gg6C+sAUoqI+Bj2QCI9AsRAhZe EcRsUbPczYqrZ3ZptKyTe5Ew7lEimf+RAqMobegHrePLTBo6DnRnwgAMrCiUmWAHDx4eA+cuwNph tUwYAwI9rAGBlI4aSt69VTkuZ+xqVjbOYaWFM26wQI+JV7F4FlzD2bhtyoBd3H5+7yGLWmm0TB7M W4COTQigr4QOAKBQYe4Jj+biaqRmPK+5dUI6XNwKEdZW6XIlp0ZjzYCKkllMjsN78FThwqUWemQ7 E//mIzyUSRusl8dDjR5umvh+e56yya1UnwnnNr852bA9BsUqvBLqpeNZG8Af36ya6/fPf9hjqx2r 9NxS3fQFKw7XiiticAPMDCDAmmeGLrBtnNZnFPfOosMEWy/jvHB71dG324GW23HGFaTbKjOMe8MJ xOLFsyYIlMULLc+PC5rPaad/iCinsTCaVtraXKO/N22Mh81HGTsEkvZ2JTXQk7LqDyyAaKb0qdXC r7KTMUXoUuZRc3XxncDNMWFRAIxtId8R2PZanJ/JyNgl3MJklnLTAHx8uqTTB5M6MIg3jh2361pY riodNFWJETDs+orxNNQdU08eod8VD2jf2zHYVG+IbA+qmFSrM8rlI80sUn+qw+YLQFqpuY1aOYYL xnaLl4n6LRbI/Xgv875B59GkwQZxBLBg1Btl62e/PRu6NbvqsLD6HEFitxiDRMvT92wea7F/swTf ulQgnjnBsbBRYtlosFOXVUBaFLsWuWe4LWAR2rBajas7n1Iw7ArPU1MHcRY0ZmUDWdGmnCcv1JF9 FM9/+IFvF7ePTUadDe1iLtrywFKuquLmxsCGksKmOMa9VvD2Iv7t54WR8bAQCFc7iZRO6JUzeetM hEMG262pumaXiSZ2Yj6XZykX1YRuzxB4KPV1uCJzgHtPAa+jK+rW1yHNroQWw1VvxLW3N6H+rqYu jTUtgXp0Nq5rt5sqhnGdGkkoRioStiMX2iolgqsd4ONhYpb/6JudNmnQ6izS21zH7N7jtD4WE9P2 +HtrsG1XS4tJx4d8kOmnaZwbTYJrYoygzRD/xCBnJxWeFRN6q4RrgjOpxkrsHpPVT6z2ZqWf+x1r fu9q2bQ8QImxd/ogObAx81ZRzA4GzSoPS4ABnTmcUirNbtuBsXnAYxDG0i2TNWBNLL44UNgUhH5B tyF1xbywFRbDwMa/YikXj7Ue2uRiAl4adRuGAA4wlOn5hkVyk2iO2cnizxhjMatUQ2VTgW6Or+py K0gyiBMYjS2bUrEU6NYk5YrROYvqLkSqVmKaLOMZJ/7Oxe7BpjZvg+W35RudKqvWSLVYnNOYG2Ha xgHeRwsCt70PHRu1+vgJX9bIgZjV/Gptdsri/mGrz8EB7tt5351uCttHl0K75PnyeZgw/Yr3EfBy 3j9CkFzpZxrsi4VtYq6hkQG3fT3PkV2t85mSyuXtB6XdOTrWysqqomZea6WkPrhSMbCC9rG6oB1h jnCRJFlS1wg9BZt+uwjXnTTGMGzggb+HZ+QhwdJ2+u11JgGeGO4LKs9kQ1ujKgI3hbjISsuEYtdd V4TPeT7mSwlduBXTM0ecHndr2lUzPXXAmYiA4tOHiPGRlYg5NEiwbUx/+0aki2MASkzFKvTMCZIw PsyCfnY6boV3YM8zQQDRdy6XbeJC1dE66Hsr9D/udhf2uyXjUGCwmvhuXsO7AQAQY0drgviYnKyO TPz28soP2ph4JLQCnJQY4bmgSx4eiZkTxLbLGiZQ8pM728BoipWq9XF32ZkZsGUPblwTz4Vmm90W m/rVe0VbONFfvnGuYbXCeQacE5OFulUkBb9/taT5xaIVTNwzkNP1SfaDpE573LyIgAlpMUxCJiOL IxUyro67Qn44kQAj+t8cG4TDtDaJKGRcOgv3RToVc8RXH8WEZ2wtLIRWC2qgK2nbZEH816qR3nun bNorMVyMkxP7qFiLXlvVzBwbuOKgIQUopRuTaLSrrYDqSHt6nCxjhS2pfd6qcOJB673Ly0plujS7 VDQPZX9P0srmYJ6yAPtSP1wfz5zxDDmJRPqci1b36UhuJ2zn4SbP789/2GsaN7XHWBRhmEHQYdVY WUiTlELnAVOEIHThNwAU4xggZAGG2ZrW14Vs4DQsXuheWBJnj7iqxoSGbNfuoEU+hQevpgQ1bZ7P WE4cUbN0h+0UPFYxxGSleuvjBbsIkh5JhqYDQG1nbjiPnzc8Nq/id6K+A0dNH1eDkuYzLp7Lh1tY Wd6V0DqZzrYqB51uI1NWSnb4YMD+5DcNjc3VdWAgtM+MLyQ1t55Vbp5gWQZGZOyr63hTZw4CTzFd mWjqwxtoCm1maxjp9nJDqTEXC4NJOjIQ6OWnO/TB1bJGp9dbWfrkn1XV2+F2SgGwmZQra03LN8tn 3aYRTAQAhEmOp7HdlHAbLjRM62PhIRyAP8OITh96+NIvPHtWcwY+A5vwF4Ae4METxIJA+RDumVW1 nWjxOQRxAAvgQIjF6cM1bQZQl+/WNAmA8mp8nsWFsQToYgJy7+hOsB0+/8rplJ4+xk45VdtpBkBj QnJN//DGqgnuVpbYmEXaKhHAmpioLAAcm+MiQp/YnzAmRQQ4YMHuMOyGYx5wi/x2FgPXAtsFDAGz 779UsP5hUhIDuLRG1U2XXsMc6O3K6VyhoKEelxN7ZaysS2PkcQSqTBEM2mFhCzMLaMuYyIAa2SCh Bvuyd9WaW1qtq7ZS01o5ZkwIzerrT+WNRQHIjBmf42fDz+KeKhZVTxQ790IVVbIBAJbx6boVJmQ/ SWLcGIswUuawFYNMxgzUAXLCbHCOoNkxV+hDnrWvLGHR960CoBQDtEV2GDkmMJ0L2QXy0qi77QPv C1jULu8s1JRKRkpl8srnqa3DBqFu2yAearVWspuB7vFgCDVggDL4eUigNxOdldJ5NFx2N++3TxrE NwZvB7VrH2PjHhiE6FfoaXhF6Wwa12p76gWhLt2M6X/4swG3+cFHRfXkyhruYQXCg0SQodPaVsuU 6iWwj/zGlucs44IGx2YjjbOjzvqmiqdMIJjeQl0DuUD7B9xgRBzFFLRVqRXwyfmJkmfCYErjDcut 4tEl9MGZpgxS2BfaBAOAxQMGx6IDMLutojIWGMjAYwLfa3v7nTQGXTYdWiAxoA/4+m3viU1ibBAk Sx6ZCdNtjc9wreik7G5DXBCalk/m9o1xhabKxMEb7INj0UdY0Yls59yUVnn9wppGpyr6wUu9On+d aqslc/e7vDW82S6GEABkUaZPMJfulHlppZvR9wAk14xuCEhyDJwzFiQdumoERTZrpRID3rGVUL96 f908kt9/sWD3Acu8BiscxPR0GSVkeDAvqHVG3BOVZWFcF29K04tICw0LigVAMJfXK5Gu3ibcJ9Tx fTXb3+9EFYdNwSVmF0u6Phnq33w/r5nlpm5M1Ew7Ix2HMc5iwP3idfQleGCy3NuhVv/z3OhjQh8A 2NeeyxtA41jAnKY4IazyjQvFlsno9isE1OlP7guP30IBbyw5v7Iy324nckdWfHkcrplx/p/+edme G5pipd5U1AhVQ1Pfpt1tj0Xs4Vc1r2Es4ma71Wn7DcFGXD3wqRk2nZB++I0OqxmNiPk3v12xBFEe AAPIFbrHuyYrZk90LBeFuMnEo9TKw5p0n0XjWnhorBCABKsuoIPw+sPXAs2vutw7C/5L13Vqf6hC huTNlGKpbq2UVo1C783ATNk+CvBuicalSO9cbuif3m1qbKnNJvL0U5HyqbiKYaS59VDjc5G+9VzC qk5SX5y+/tErXRrsxWzF4+RWQOLcLP8wHTeKTQDipVsVfXCt0qpZnrTtnjBfCD8hJAXPGRPWN18V 9NM2H6zqsh+qtvkq5pelfLTicIjcR+v6wdc7jTFsbmamWFULV+WgHbAY6Ewy89I1XSUBJhaA8tQh FtXIdJbVUkOXbxXVna/rD1/utxiqD684LZZ+I92J8cf3+I7tnRi5+EIAlvcBIBYy/g0LqtYrujJa cfl7cRLXSUcL9Ve/XDEdFUDGFPzOCx32DIgAZw6w5RhOAszMf3xzzZ4J2l5vJzsxuZQijoV5T/iK 34GbZ8u1IkmQfrS8XtdqiXHj8h6vTQTq7sqqs4tNbxd0ZE9Fh4apdFDX0X0Fm2ek61A99fJYxRYq 7hUzmEUO5xmB14Q10MOAL/fJrtLsTMS94FjD/PPVPWCnfJi4NopLwv6JgAewiaFirHE+QBGg4tng GMMJBnG3HGW8+0VXood+QuOjcikgzwLKveFkGuysK5vcvoz5lgISLl626CJtp7OzUz29fXrtuYJN EDoAukeYAFHgMIr5paqeOZazGs7QYFIacEczUNhIgIePfkJnUVAO2v55BRbutNmEq5POUdOzJ9Iq rruATTovCuv6+TurqlVWNNhVsUnzl79q6szxXp3o7dRKCY9JU5MLFU3PNfT7z0U6NOQY0btXQv3F Pzb14SiUoL2mtHf7wMLi6ow7lzAP/K9/vaKObGAT8+BQpDPHMkbZj7cAigEDe0VHgLr7Buh+78WO O3WNYMA8B9gDFP7TRLZzLzBjH5TqvE4uPokByeRFy2ESInr/7J01/fZ80a4F5segxPw4tcYNOQAA IABJREFUOpK2zQ+20sxg5nzeVQnBLHIsgEHOQsLYQwvDvAniNTNBYQWYE99+Lmdeqf/wdzP6xpm8 fvBKty7cqFrMFKYa1XH5vrGOVNyY2v/P3H0+W3pdZ2LfJ91z872dczdyBgiQhBjArEBrNCNRmpqZ 8thV/jZfXOXyn+HyJ5erZmyXXWN7xhPKljSakUSNRDEHAARIBAINNIFuNBroHG4O59wTXL+1ztvd bDaABgmCellgd997wvvuvfaKz3rWcIT/QwXskFVFA3kVCtN+8EodWjkzVXEejxBQCLRvZ8JHApS5 1o9co/egq/njby7G9mIkqGAZqFsYQYpXy5k9pMy7oxym80NZ+XmE7pvpAfOwKI/5GTm/frCLCsWW O5PRY3vkoMk1cq318tTRxO5tm84cnJ7b6KAYr0VBqTdYjxSFSiAHxFk+fzmLA9/60Uoo0N/79Gx4 VPb5wJ5mzCD46g9Wyu9+aibCR+BpkvTUy2uhnDVB48p//P7JuLfnX8uClkpx5tqSvtr6klcKjj74 /KPmFeQsTfk+MvGDn6yXLz56CyHhTYW0p2KxHsMpZqam40AQTJusJeHPv7saPE7R9X1fgjIl5S4s JvCNtnaDX/7kTBy2ZMpMwOXftYvgSWz/zidmyqN3j5UTaF47ys6lHN43V77+49XyTz4r/GiUf/v1 WjlxfqwMm/3y0psLZXocyprFHpbldT16w3Jo52h23UopF5euU1bZVRGA0rj6wxBq1gsolsBLSA62 l6igyMcYiGr23Fc+Nxt7oNet4ke68WIICKP/vvjxZNsk/Cw8XBf6H2HQrW4BZbTVS0UasILgC1eF ygPN27j6Wgcj8kmt4HPi0fG4CCQlLJf1hY/eZG7a6MpJw5nkvbKcjeYUEkXL4wjs0rlO+bNvXyrt punGY2VqbLysreewCdO7H7hjujzx6HyEp2iQhYPaPnhv850ERPJCgtJolBvjdVJqEbYE11VykPEY rJ37kpivxr87rRSzvOLFxUb53EemgjVW/su5kOSmeChpHpvqJUVHoUszUEBC1wj1RvznwdYwyv0A x1JQ1jIMwpAspKJ++2I3cmFyhmABlNyffkcVrx33x+MhA17buliLHC0jwIMjO57ZmiysZM5KGoQB dC/ZWZK9macv9LJo9LyxYY1YP1OJJOdPX+hGdIXYT/6Rt8krBv3Zua0Zwyl4ijw758pny/WKvMgP 75tn940frYZx2L8Tj96g/Mu/uFImxzrlC4+9s4y8Z4kORuvipcvlzMVO+fHrbnozyqAmRLMAX/nc fFiev/rBctk134qpJn/yjcUcGDBqgibsn3hgMhLGf9euSLiOGqPF8U98ZKr88devlCdfWC7/7R/I 6zXLd17ql688kQn3zcF8WdxYLOevVEyQGCMppE4o5Z3zyLvWy+pmP7ykgztr5dCuYTm7kF5VWvF6 Ob1oVt5VoFhUDV96qxMKbG4SU0CrtMeAFmFaWnFQeFSEMRrA92W7xa1QE+sKYGXxlQm57jvcDm8m iio3fMTVabyjP2BmCJ/DCQh4/21jV2cESpxGZW4MsVx6lA5cvP7tfuRxvIbC+OaPV2O4q/aYd6pI Rp/p9mb53otroSx0HrRbSbwHzmFU1Td+eD5Clr07xqMqKV9TUbjMTY+VvTvr5V/958VQzsIUCp9C ooig0mcm0nuqwljK1yGS+9Mq44BJoPPEeHa+g3drYCsPLSuLJtDUy1c+NxcHESapgttEo349c7RP PDIVa6UaTUmKSOyrv0f+s9aK70gutKyQznQb8XoVYVz1jLt80neeB4Bej/2UO5KfJKu8P0rwpRPD 8psfny79XikvvbERFWPKSo6MIiZ3FKn8pr/zjChI+TVFAWyfLt6hxngj1Sg5645um1f06D2TsS/m PtpjHrc19kzCaWtDBlLhbUUKo2riTshDFlpyMEri6z768elgQl1eWysnz3TKvYcyVP+FFVbgMlAe r3fL4lK7NBrpGs9PNSM+/9ozKzHxhcb84semyz//k4vh7j3+4GRUWty46gTv6u/aJS9x5jKXvXuV V4g1/O3H22XbGKHU/mOe4HjZPrlc6q3ZsmNqrtTrK+Wuvd2ytCbBPBc87we2dcpH79gqd+yXwAUZ SH6uI3uSf+uHxyE8SzmwY1Aeum1Yvvn8sFyRs5cbGHUMEAbeiEPEG4EPe/LltfLY3Yl4tpYMAaF7 l8rvz10OvMNI8RlE+q3nVkNocMZnYj5ZLYNhdtTr6Wfu/29+uFLuOjAWNDfRWT9qBr/ZNVa/5t3J YWhAjqpeE7daM3JpIAmU1jtNlPHzgFmMQMhCQTkxaYbX31ovS+u1ctvBbeXwnolS6q1y7K1k73zj jPaQ5dCyFLrDBq+1Y04SGaeZAalTAcuRPH9xNISCR8dLpBgoZJgvXObyKzw9jLAvvDYozx3TgpIo dPd3z6GpkHP5J/gwoaNqbtUNok9TCCyfqU5svWH2eDFRWVvsB98Uo6fogAiPB/LsqxuxvtEju5i/ pxhiSvUwcXa/8xueoVv2bmuWzz86HVOfKXdVz5Uubv963I/1E+VEamPUV2pvKdns+hhGbhQin9ck 3KZYXjm5HnMxvRe04omPTAdgmUL9z08maBwZoYT8zvnJUOaU/l/+YLm8BLgbcyFLWe4FQUNUDind E28n+V/MrpzIfJjn9j73t29Xs7xyYrWcv7ReDh24uXzcEggqmRx6IQkfv28uYtX/4V9fiMbIB26f iLCQNv3Tby3G4QALIGhiWBr19KWtiN3LLY54+rAuh9JBsrEsHaH66pMrZWtzuXzx4VZANf78yU6Z m9sse2e2yktvb5UnHsV9pOG0UY7s6pRdU2ul2+uX42cGURb/ymcBGrNKZvrz914alqdeFV/nd2o1 Gvb75XMPt8rTx8aiWXwNatsvsWH2zeQbK2+ewZe9FrkI1jKqSVe0kEwFzAKg8VavoOYFpnxDg/Uw PpN1/cGL62FRrYM9AjGIZmmNsB1YIMM2JgJ3V/HJ3+oVFNj6yFr1KIsbyS40uZ53/2YXMCKedspG Dk7yl2xJVjfq7qdVPv7QXITZ1kTI5rvwLVEoPl7aQoiC+YBXJHSE4TIw9AWe153jMSjUIXGwt/pJ Ta1kv7CSQxGCz6mdoZwKYzX8g1LRl2c8PT4q3o3PkPuhnBEkUgoQ+psd+yX8VPjox3oIjxgd625d HXbPKIQTZlKIcko+Q2JaBw1jKmTs9dJL01r1R1+Yj3Dwaz9cCe9Gceu22VHL0VSj/MX3l+O7Y1rN VFbxJfWtDcN48mwyfHhGz6V5vGJPILtV7qvCZolA5CUvLiYkwX2qGAp5hcM8bf/mqcmb5qCCQTHx kJKlqOwVbU6WVlb7wbjivkwl4l1tdPrlzr3ZHP1O1y2jNhHd4Xk6v7JZvvoDSd1OeFrg+X/99ErB uVVvpPt3kZv78ka5fRdr24zs/9sPqR4mV8/fpYug4hhSKRI63Xe4Vd54UxMyLNCwfOp+GJLVaCj9 6pNr5Rs/3oqyb6uZfFmfvF9lFMaqXo6fhQFCP5wHFoHfXz87iJH2Ve5qca0eQ1j/6W9Plf372uVf /OmVUGYXNwZclAgJf/TKRjEaYecs3rD0vLbN1gMEyTrGPMPBMKAJN15V6ViS0wFQBIlRW3ONgErI S7gwWdiLwBsNcXplQjs8n5GgVtetDPK88QrcjSR1AErHwqv6P/7TlQhrXZS7g3xjt4K/8lQoHG0x 05NZNGDthWJgH1Dthp8KZ3gg7tn3RGJ8vB4Jbb8LEG2vlN/99EyCc/XpLRn31SuP3D0RucDMs2TZ Pcepp8IJpb2ZYYvPri+PuPb3jIXBpnTevtAPb4myoTTkr46Z8xfPkK1Jwfa6NSj7trdi4ndyl6W3 wwPTjMwwCtd8vmoeL0xiW3dDVO3e6pQH7hiPnCH8F0/X3unbBRfBCkrZUiJ69jy3MFYawf2CEvGc 7IfnifFeq/2YAu3fvEJKbnGlEwqE8pVk5SX6u/5Lr7OG8tVybN4TrWLgEp1h+cnrGyGPgcGMKts1 CTp+aatw6OTe4r+NQXhwooinDRYe5RNXB4Py2Z2ou98D6X4rlzIo2tWnjl4pf/lDvEKGTpZwR328 HMHO6WZ4AXsMAQg+63T/LC4LF03Mf8cUFu8ikMnGOL25XIZbS+XQDu56Kd/8cTesyRvnauXicqvU G83ywuurZf+OXjl7pRFEgK+8xcI0ysIqIn2bC+BoA4SbiP30yAzLTKNXJlqDYFTcv01uSNhnYUea rD8s9+7LLn9J93XWb1Nbh3acmfLa25vlyZfWyx98di6AeNe3ulBeEWKo9qwo5RkCADmOtC9BukrJ s1PXBnrw4vyjqtZKfL7fwZ/vdlXcZnJJsD8OpYZvB0NJnDIwhSkaYG8QCfkSYaUDSAm4hv1umZvs l53bpkq9aTgDVpCk46FsGtuaZRMV8WqW8f2cUvGa//Dtpci5kMlMgCck4t7DY6EU7ZuSvtSFcE+y nDJglBnkKrySNxSuOchCTuhsLB/2LOZJPjIVSscBp1T9zAGnKKvBDORsot0qu+eTBy5pyeHqknNf fooXZB5lKC49iavZflWLdUr+f54dlD/lbq1AFV46sRSKOmZ9jtprhOEUXlBxj+Yn+Dlsn70Xaib+ qhcJ9FwjEJOEODAs1pLMqBzCyRE9leuzl2G9ECcmDGSrk10bPzclC4Hf9ma5/cBYTAvCGBKdHl7W rAXc4+99erb81ZPLpdXqlz07Egj9Syksa4WhYP92MXej/OEX5sozR9cD8AUOAMLPRaVxEzU+KF/5 6Fz5rd+Yic230dXwhV/3xVoAG1oxCgaVzFZnJcK7dnNQTl9ulc3hVOnUauW2I9Nl555a+e4L62XH tlqpD1bKJ+4t5d98Y1AurUDpykk0yukrtXJpISuEK+tjZd/2Zvn8R5pl52y/PHtsUJ57vVYuLTfK 3javZlhOX+qWl44ncLRq7BOCybH8u68tlNIdXvWAXnhtPay1HiyKpqLVjScYJkmacEslB8iPVwbD U5Xcf663Mqbs3NhE+8GuMYVaDc8k+Hr7eEg8P9glVTdWmrLh4VVdEvFeljoSwM04UBTKyupyEMlN TrRD+QqLeYvPH9uI8Jh8SUNIKDvQMeFmY5BDTVYktc3na4VXEX2XveQOo9SMz3LgVBaF7BqZYZh4 qp5BOCMstZbCxa89vRIekioXr0Vi3n26B3AHHpWn4dV867mVuF/jx+ynQgQFQOFIfMtrOeRV29d4 K7mmHrx9IhQdgymkf/ql9fgucgus+ePXNsre7WPlMx9JgLH7lAsjTTyohA5kX591oNR8pnDN59sD 1DKULVwcr41zEcpsMp/ZJHP3HEUBY+RG1cr/7h/vivte/9bS1fmLDEsCe2tl12wzPN9Vyoun1SjB PAFJ8NXvL5dzi70yE1z2KoTJ6sDr+vInpstv3KsIlpQ+N7veVyMf9/3eQ80yMztefuc3psuDt7fL 919cD+GBo5Co5IraOAfsH//WfAhdJrRvvZR+sysm5LzLeKVbvVgqAqM9wyHHfTXZXC/bJ1fL1ESz HD/bLo32VOnXmmVpdaOcvjgs2+ZgR5Ih4MWfmnzbKWONQakNk0GxPtwst++ul34vE6MYKoOnm1c6 Ucq9h2tla9As33qBtwyUikesXu4+3C6Xjm7kpo5J+uYhBiIlCFxtAuSzVJ+ssxxPOOy+l1XrDeOQ VAensnZ/Fy4HAfnit3+8Vv7Pv7gceRzP9w8+OxsHhh8q56EqBiRLyBUdgm9sVK0T1q4v45MalLsP TZTbDk6UUzBvl7B81Mpn8V7N8eyzz88hoEisgSZeOCDevRUPGmQdGE2AzH5QKfl83y8Pw9iq4Drk vBp5GdAMaypkg20Tadx/+3goKB4JZSkfFZ7XfCtCPAooGCZGxHsUh7VwTxSifKJ1SP4nQFWV42TZ gPbmuVGQQlzniPHf+7m54InXMMxbrToJeNGBu5ppBKxCLlIRSaI9DFcD/1ozPFpKpsLTtVvJMOrn crfOp/NNWfk8++LvrRsGnlDG1gG+0tpSNBSvPBfvlffPq2UM1EUqEDBFJ1y1NrPTSXXDMN2xbyx+ R65v39cs+7d1y1ZH5usDUFiEaKI9LDMTKjPaLnBLQK6W8sJP18v9t7fLP/zCTDmydyJ74IIwbSsJ 7MdSg7+fK9uBkq4lur77pXzs/nceY32rn2mhAjU+3ivraxult7Va1rfq5cLqTBk0KKphOX62E5W1 jz9g+ko7nkf7y6sn18v3XxGq9cvd+7fKvm318sb5etk9Xyu//+laue9QCp/vOXF2UP78yVJOns/B HCu9WllYqUWbTquVU1Lu2DsWQk5pORSEe99sM8I7iol36iACYf6bv16I3I1hH6ypRDPaXEnhJGT7 2cnHH9RFMInt+81jOQQUPRmwHvIv2lD+xZ9cDnBi4q768Rp5i9ff6l4FFcZklkaO23rxtaU4gPfd NlPqjUawpmbDdx5oXRXwRN99YTUqt5XnRBnwWhyOHTzKWo5Ww1oLMyREUqF9+uhGeAgUQvQ8zjXL Jx5IDJy8kXDynkNjI5jFCOPUqkVjccVSIZflHsmpvA8FlmGp3xnkmsR3YAAnznRDcbgvlT3rK8cH +iO/xmP2b+9FN0x5+s7b96nQgx2g9m4kzdKVXrY+/VTBoD8qEKjMJvyB8uEwCFWFftZFv6yiS4yQ i0nqpRhLK5ykdLyWktEupFDhWXllBqDiupLQpywpOkrduqoYWnewFN+L/YLXRnEzLu75tVPdq7nN SOxvpVInxyBB4UF2tkpXdeIdrvdNlcANH292y/efXyiH9k6Eh8JCSegCXsIlKRlbMHGxykRFbv9u lweLPsU3TZIxyCK5rgg9oSIAtzIw4XpO8xuvQGZHN3mCPNuNTplpo16eKOeXJ8rB2amgXWbNlXqF MYQl+JFULoalfOrhmXL81FLZNpGl8GOnG+XCotmMW+VLH3UoVZ/yRswlnBivldcujjZgUIsw8vUz w3LvYZ6YknXGQjtGlLnyPpWnIaei8oLehJBzzWGUhAByG7//2dnoYWPpCU7FD+45q8QxoN8vC9RV 8eJ95DSlrKjdyjViy4n9+9TDU6EkKFwH999/bTEUhOf76L2DMnYmeyg1c1dMFdb9hWOL5eSZtfLQ nTNl29x4efN8ttnIOUUYU+OlZe5HeCEs4Tm4V8qu0ayVfrB6DgLf5pBas0DnzzcjxBOexcQkVDmd YbwX15XXqILdezhHuUN8BwNGEAtmctr3Ata6Z58D4EvJwWm5RBz/8Avz8Vwqn14TimzEWmstnBsg UFxsDr2zQpnpz6PAso8RGLUflDoMmD1wLzNT3fLDo+tlaXVzBFcgixkN4fPKQTDJCByJ7XXYwfzu is13bSMn8Fhv1cGoFG4m06vPwt7qPuT3oN2tC6wXPGag16dyNJ/98x1Ar9amOq/kT8ror59ajoox tD5ZJcNyp844g4zT7vS5Tjm06xbYGm714k1tn6mVK5vK9oPyO5+cL9tnW+XIvnbcsIPlRqtKBdiA v99MyG2OZODZkQaWdLQA4m2aNyzDXFJ3sDa3krD3GRKOPkdRIIaKtnMUln46no7PEyd3uxvl9v2T ZVCfKa+c6ZXlja24p4p7XsjgUPCAhGevntqMosL5RY3DrdLrCfUSgHlpeVi+86KRTltl52yOr7dO xjbNt4ZlMTh+amWtV8qZKzl1h8X83gubcaqFFWbEubBgUFr/5Lfmo5mUVyC5StgrfqFXTm6Ed6JE /9mPTAU2q2p0rvjbWVQAxF/2EqJRfnJQBPz6jv93u6y9PfRcKrD2WiHmsXsmIzzURM+zcTB5Qjwl ioG8UCQafU8aZd5rlXpzrJy93I8kvgOv6IO9wF7K/fke7WKwU/aPDMEJyvd89cnloDZ22HjWDp8q mYPJm6BII2yEc9rRirWsPFXhlC4BCgNwkjF1kFWKNUCLMnjCL5/IJmsKApbr4lKyhvJovP6F13ox V4BR7o7kk7KWl9QOxDvybAurORbLeYjx7gooU41Qiheu9CI3aS1h8uyv11I8lIT2Kz2VVbXXZ3ge MAgKJCfbDOJM2cOYF7iZzdXnrvgzhyLr+xQqqzJWoSvYAQ554R/qHWutIsvbosiif1iB6ky3TPRH TCzD5L5iGDgvwvAFw1aQN/YpuF5582wnMGCeVSHk0sJa+cdfmPjgFFY0jI7Xyu7dzTIxmdo+u74t SnayV6OvxbIsM49FybPTQefBZU9cR8X35DASZtUCwqINo2I7uL6L/lYu1mP54tbVlpFKeUU1KuJx JGndsrC4WiZa4sOpYFHQcwZrYzGTh74WiWGc1ZQPK0Bx8BzbY2Ola0qM5OpwWPZP1sv4eLv0iwqI pC0XvpSHbmuUT95vOsmgfPMFHFiNAI++uVgvvaNoNLbK2shzw539599bDuEhDIRLrkJZ2gu44Ioc /+AzKG+a5fsvrpX//NRKWNckaMOimXz1lsvz8kolnX/Zi/DyBIQMDhbX/WaEfDdemdzPaqG8DeVE AfBaQDQ+/TDSxGH5+jMrYVA0b//H7y6HvPguo6p2ztXKbfvHg5H15Nm1QFMLYXwuT+qeQ604CFpJ jPTat2MyKtaS17yF6fFa+ftPzAaeSttK4o5q5U+/mXkSLTnW6vAeiWbDJFJhRrUVPOFiUivBrvX6 66E8yLfvpHBU83gMUbSoSQXw0LK/kfwa6Mro8bwoDqG89cwx9v3AkrkoHHCJtc1aeGK8kqopnxz6 vI3R9wLk5nlph8KR9PZdFKuDTymSUzkwvwsedeQF9VTA9s+Zo1SiJ3FN6Fgvu+aym4MBYbgpQ5AU XvXkSDk5uxrOnUvtQb5fmEtO3aMw/P4j7ausDNXkap/L07a+YQyc7xHtOeNqXxQL+r1OWV55Z5n6 hSYFJBq5lLm5a2/PARLJKGBhKYr4Ex0xnnKJwjqepKSVOBV81ihScpijUrLFo61/mYqVcuzBGoGA ZMpkNWuki94h2z0nLlwrq2vrZVgbL4td1qUfaGpIfYoqN5TSwzo5iOk1lCuUuLDNJnj9cJgVHt9j Ew7uKOX0ZdxXzXJljbUeBs8R2uQgK5toRuLeBp1eCNV4tadwKSaYJJOl3IH106PleykiXiJPCo5J HoMgW3NI9GdfSaS1Q8atVkqX7P4g5wMS/KrN4v1SwjucyPyEtvBIeKzkhx7aD7/UK4OPJYr+xdeF 48m8wPsaa2Rz8445KP0cihCj2AMSgawwJxljAVAqt66ePSZlDw2vbZVv/nglEufwaIylgoeEcoV7 cohjSEKMmEo8V5IIZjM6OQj21mZOv9k+MwiFx4CZwn3laiJ7WD7zyGQoICGcnlN7IISjwOCUeBpR SLGGo5CMYRJNUAQVWaAQSwKftxmJ99FEqpWAGGRYSZalCBjOig7HIFLKPOZvrmeITEk4h/7keS6v bYXB9e8qclEpJ1PC7OyZNFw42UNjKPFm0nL7zgj7akls6Xt1QMhR8/6cnXtHDofvtJYMi3yk82Ev GSvN4NUQX3KuAHbukj7dQblrH4zh+2RreK9LJUxj9M2u4MAxgGCCXJuKmxsRXxbtHho74ZFyMg+F BRSnOvNBHDCGn5dSzTbj6m92uyFg+LdW11bL8vJqWes2y0qHB5Lu6MkzyTxq5lyn2y1XljaD1uP3 nthRPv/YVHg0NgimxUbEwdV2ABGHvbNu1t+gXFpuljNXJH17ZWGllO37ajF4FZf3qUvDn2drcI3V ymO3aUrWQpJjyt23gyhs+a+/vC0OqL5GSsm7KHeN2tFbOBgmx/5IcOUUCRpPgeW+fsy5UMwzUBA+ 41YuIWgiynMyzfvNifG03IN7oXChpXOSdfbJyYUIo9yPQ8lLkUS/cLkf9zs3o5+yHTP6JO4pdZZ5 omqmr6GnblydYBydGTHEBOAW0WG/1GazWdm6KAKw7tZSa01OV2KIUvEEbnC9RFLZMyMiZFQRzcld TXYTXWvQLe+K8aC0/EkpwCZ5TvlDB5zCmp6ql/ZyPTjaHVSJeN9PlhQdKCeh7ZXllFVemP2jNC8v 5Qi4XgzZQBFDCWVjca+TuDUUMdZiZycHtZhYI30QVcqoXKeXY8CXtZoaz0HIb69vZTvYtLFlvdJ4 azPCOEUCnhoOLLm1bfdPhgK0NpqXKTy4M0qTbDYbnahOytny9nlY1oJ3p72J0JI50UGE+8uZnpHb 4lREPnAUoQWF9wetsNAqv6egjgCExoFff5l0a3G5+TaP9v5VXcIiCyWPsL5uHNJ6abdbZWp2tpSl +mhW2laZn+6XhcXlGKwaU6ubOWduba1T+oOpUBywNP/pu0thcSNMq8uVTAR6es/8Viz+wiqBGZS1 9W55/TTqmEa560C9fOL+Us58v1/OrcqWjm5utDFTowSkggYhklRHOZLkb90IA2CRgil05GLLVxHy bTNzo6qnwyDcxSeVZWWCICTPJCvupfTiCH1ayOlbykep0gpZHaAIM9+nXWGZHQjC7c9qdJUru/iT fULfHcHlZavIPfNyP9gJzGwErIzJxfvaoeAIFy54XgAlLWflc1wONsCn3wk7eSfyMSpYfiaUqxqA WXoem987pPJoqmhysXIrXr9tX84ZDO4wWKSdzWj7EY7z7Hh1clm+/8E7VBblqqxz8rnbO8NE3WdV EOBt2QuHE4OGJmOjsqyvNUoOsV5AHCy4ItS9R8ZDwb3yZuYSc/CIMLEXeSeeWkyLHpE9UhxVsn29 iVY7gbIiHkrVa4TkoiUvIlcUuOZ4Z4Cyw6oacI+ZRqRrOCPz8oX3T0b+9JmjG+FRCWdj4s+bkPsp 2NZso5setp8xepX3RQFT5mSKQcjp3dk4Pqi9y5iv8gtcqlvdbjcU17vB6K+/HDQLzILGwNXLW3GI guD/Ha4K+s/VZ3EQ/L/fy4FkAd6+0CmvLW2Uzc3NsjocK1vLqGSHZau7VbZPbZW5jYwyAAAgAElE QVRt09XYMp3/zXLkwHQ5/fxa+eFPLpQLizly7IHbJlJZDXNIamMIbTwe1n7/TjQcBLpX9syhi9FK IgTVQtEsj9xeyjOv9su5xUaZbNXLuj0deZ5rEvxvd8K7u2zIbMQ0pewea0SoIsxmdWNCDixaVH6S l/tGPvad84mcJojWTchhHQP9PJqQTWGwpnIGsF3v5TE5eLwaXsY7jZt6r0v4REDlXnieqmQ8ItW4 amJ1eAP9YSikaiDFrjPd+P6jb3aiZ5WAAyvfdwSuZ6I8eMd05B9DKY9YLXnMGEgdUInhlUE/FIbX 8ERYfoepSmhbz8yZUZrD8tKrG8FQwJtyPbDcD+Ogl9FeJJGiECaT/Tx6inQ/HvjdrUg+f/3Z1QiD cJk7oD4fQJKCFnFQzHKi1rWideGRyYn5uYjDvTBWAQifawbDQzU+jHGjVAQlMThlW0IRhHRRnKqV uJ+qHS5YIy4key3/gcMAEkI2KE1KO1q4TFo/vxVhGsZUbT9a7yhROS7nl8fkvpPrbHgVa2afKk+Q rMkFExf7m5XVXnh7ZDpas0Rc5jrMZR7Qxfh3tz7AKqErhL/TKQsLS2VQnyg7599ZkXgY3g0qGg/h IlSSsHIzeMorUGiUautp8ULDb2S52MLcavhy7R6v/d1iL66o2pXS79RiTiCWhiBGm2uWI3vHy9hY s7x6qlc2+s3ywF24ihpldnKtbGtvlh++dKkMykR54/RmGat3yz37kh7ZVF9WUi5Ecth77tmCsHYQ WuXgrnqQvCXZHWWRuQve0ZR8SaUnesNyPCzpNZ6sSaDTyXp54Pa0dr5HzyMLSdG73slWRDf8eE5+ 7iG462ahI3+XOZt9yzkxhifBc6EACZvfX88H72LtWep3IwCs1vtm9xQHojsMcKDP4EUS2E88lHzj 1fvshzX0u6CnbmbSefe2nElIfhzqQ3t4Df1y7ORKWd/olQN7pkJ5CaMZQnKzf1fmRn2OFhu5Ls8h +S00dFiTZiZ7MmP821b2uTGSEvfkhkdD8VBCggrwBKWbE2eSh18F1PrxkIVa9laSmqLyWa8ubZaT Z/qhGBkSspyvaYTXFOPqR2tAmdhz3m+EU2YMLPfLggk+G4Ny8px1y1ArJ1b1o7rsvGgXojCC1qmF Hz57IAfDXihJSpnBUNjwnb4788s5Li0pp1MBbzQHcd48K9mz5sZ4LfXy9bBhmjQk+VUtoQUoVoqO A6PzJcUt+zStYxR/RjMzYcjWp7NaSRatk2elPH3O5oZx9Te/fuHxvHJY5y9eLhdXp8vDd++IOPdm wvrGuW5UBy2ixJ6F8jqsAQ6Vv9P+hITQ09xu3AFzcAiB3xOKnzsko/+78XurCScOCYCcknAMAViF 3J0qszPDMmXKyhGHYSyGZ/7kxFbQE6MxuesgwF63zE/1y30HGmVpo1curNbK3ESnfOyuXtk2Xcpf Pt0I9Lpy8GR7MyZAQz1PH/IMAHrpfZ6+VMrTrwxiCMXJ83myV0TTlUKNqR21CAsjeR/Nu82geyHA GDopfEn+Y6c65XOPlfAcrsWV7507ull3AAUklKEIQ2jb9QghHGRQgOvfI8RsNJohnO908Rpi4ABv 8Dr66+yNzKrtzlHSmacTI59uyFU4LPaOdQdPEAJTpLwBnsMjd05E07ZDur7ZKydPb5STZzdz+MLW eBxol9CPMiFjvMjzVxLfxTsgYw6j8Ib3ubiGncBa10NeQAvkboBChY7WPbBS25Ih1Lo4kA4e5XLf bRnOXQ+5EUJbS6G6RmzPzzinh8k7yjHx1it7D7PhWWgn9JZ7U3SoqukO9CFKpo0tohlo9hjWMZ2U SNqN/G5+pkQIKbwOappQWNlH6vkCzLo0Gge3I/dYaMwp8HefZX1w76uMm4LDqPlO+yJkFcrKS/OE KVa5SM8TlESwudEOxug1yvrUKOk+mtbN46q8bFzzMRV6vB4U6u5z745GWVjMmQgfuMKKxHu3W9ZX V8rR46Uc3DtXDu+9Rn2bIWBirFRrHALWlZsb4LhmYkC47yyDuDrnoqVHtGc28VusiQ1iLW+8CIWD HaOXVBdH312FRJg6NacSCB/s+3fNT5Y9MZ1G/idHYp05l/imGNW01i3Pvdopk2Nb5bZdiXUhuBdf H5QnHuiXB2+rlW89PyynL8tjUBq43nPoJkGlhI34Yr2ePNorTx6tlxPnSrmIl7uXOZBMRI3GCTVK mR3L7n1rSkFLyApPJWEl0ykDB51QVn2Qv8x4NVeQ4u3K7gNJ+mMLqp4V79LPvraqzNk731wN1Iw6 5yhfYY15A3fsq4/G1uZlHXgjviubtlMxqRaz9A5PGqo0XoHFWerF74S7MZx0K/MylClvIZvoW2XH tlJOnXcAMm1AXpTNLS0MFo/MAeXFXRztr889uLsdQFthmXDNZ/tMeazvPLca3x9kiY0Mm3yu++Td UgTuUy6GYjX2nQxRINdfjMC9+7OSaw0ko7u99FzdK8/Fz4XmcjtkE21zcpIl1zrFzpAsjOhnaiNq Fu8Fj3BPvBS5JJ4jcC4PTNGC8nHfFISChmpg1SZTgVOjhaafzKr2fX5GlV5U0Co7RpOd3c9dB1PZ Cz+xjFonHiiZdT9ablRBq7WJFp8pEAmKU+I994+MCP18JlmXw3Yvwm2hO4qbs5hOx9LwfKAKKwXZ rLRuOXflcnl+aVDmZnbHzzMfMZpSMtMIheUBXBbM5BduJDfUax3OOw6Mj7TwMMi9LGSgdBup+bn7 Wf27NioMtxEQIFj/4w9kK0NM5h1vlLsP5sRfLjKMiTDK/MlOrxrn1QvUtU2rKpssdX+LxR6UiflO eeyudrAy9Ibtcvbiatk1Z9ZfzoIbH+uX8Vav7N+2Vfp9g1GzBccGvH1pUPZuU2rXSF3KxRWJihs4 VOqlTHKXTRgiXKPkN4tHSbNcK+uoO7Kp3P1/8sHJyCkE0rn88pfDpMJESE32dZgpRweRJfXzqhct pl5fThK3zD0k5qji+Lcf8bsbvDlegjmIv/FAQjNuHCe2sJphHOPhkMo9JX1OykKVO7PnKrWvvpmJ fweWYVKZjTzfpCpwhhe8IsjpKjxKSIBexHbQ6GiGdoEMVIMgHDbGlQKHbHcPPAgK0qG0VrwS+8Kb oMApA3AZiqZSMDlINGd6egbKwLrV68NAecfsxVEIFo3Jm4NyMoal6jkFtG7F/VgrSl2Uob/w/AJO uTQOwkNKw/ejyeH9Ulx37h+L3GCVn1NsYmCsP8VMzuwdBW89KrS/UWMxcXp7Ogn289jJzQhd8W+5 NwadovU7+yXiobC83rlznj1PTNwewSmsRYBfN4fxPTx1SlpqI8+QcLIX+2Vt4cq2upvBtPuOOueX F3pVk1KOnloqP3l9OrS0zYh+oslGgPU8WOUCW6hw0xcA/bIfjOWqpuhYaBtBG8tf+DmBkWx8+C4T fFIIvCYmzL7ZCWGDebFIBJYVt4g+n5BWIQ9hPXZK9UfjLKWaTZ8T4xnOLq92y665QdkaTpS1TlZ4 XnmrXn5yshZjll5+06bWy6ceECZ1yitvDsugzyI0y/mFWnntTL2cX66VY28Pyj0HQDgo3puMVx4R NORAy7Ro1YilapYb75F1AialxFjwZA3Nidcf5OUQSb5z+eUnVCndF/oXLSMOrXXFYuDnFSQhIRVZ /nfAeYBCcftdKTv76XlUpZTLb1RYFBFmBApAFUxIIyTiKdjDCgAb2LUR/QpFo5DS7/fL5qbBpP1S Blvl2aMbZatfC9Q5gKkQD8MD2aO0tFpVLJ4AwZXXTjEyEg64aiPkO6MHY0Vee+ezGZnSYEhjyMep TjwzL8S9afwXdoJQeAbyiSs9ua5MEcqRa/BgjFqMWGOcR43evI5qjBjPmtd29nJioey5UHF5LcG3 IpNos9lIJeEzKC4TrGJOZLse92APKo8I7bGKImfBeSBLGBSsuXuRj7IH9hpw1H8a0itMos+wHown D9+5Ugm1rpqu/Udeec9HIhzPPkdJ9Kon2GsZOu+PgbCwbwZ1XMkxZ4yLftL987+CkPD6yyEznue5 Y0vlo/fNh7W5OyZ5ZM+SDbLBEtVQvMCChMJBIcA3Hj8bI7dCYVEochbAkcjtHVZtEZSWBxRq2jSL 6rUOT3SZw4ssJPBTg2mZ5bEljAGdzOHdCVDrDZrlyL6JiJ9nxmulbSR4u11eP9UpZy73w2u4vNiN GY1Pv9Ipv/mxsbJ/d7N8+RMqdA54sjr+xydroawkza+s1stTxzLBnsoqx3ldvUbxHMJDHEMfGw1s tZlYGP06R6UnpsoknE8+PDmiZPnVUPT4XOyX1p5gCeNwTslXsNpRoRwkB5Ryv0pRNVgAU6mQweGU bHYQo+t/Rj9fFlsYiJvh7HZuQzfcLv/f13FWZemfAvDZ1SBbh3D/zsRxSYzbU82+6Ki3z2k67pa3 z69FA+56B9NANvhaQ3ujZC6PI7RqNyHgHZ48SL6P505hwAbyBKy7+ZyMaVBTX8yJ4D6PJ+PP8CoD 30ThduK5pQ7ePt+NyqfnJedk1L5aX7IUubtaJvmFRROzcjnJKBFVN0Wi6AzAYJtVXfveH2QPpmec nmyGbPM+Ix8G6nBSri77CCt+N4l+Ctb5YGx8VrQTzTejqV6YGQn6UYGBI+HZKE2esvMUHmRMdjKo o36VEJCCp/yfv6DanyO8JP69NjpXyMOIHHGrm6EfQ0YnZDN9CS+ZIqZ4KXfcevKSH7vzV6ywnEkU tuvHVkqnOxtCwC3G0GBBJL0tBq+JUFJEjz8wFRsQk3Ov8xgcCsJjEfPD8/8cpEQao3fphVfCnby0 iAi/HVw/tLb38rS4rVpZWCjtF67Tl5LI7MryVvBehXVr+pytsrSyXvbO98sjD9bK2YXNMqjp4dss 9x3YKi/tqZUXTgzLY3cJKVul0zfEoZTPPgKEOCzffKGU84ujCl+lm0yXdUXN/sYF83+sTSYoHXYC FlNNapXLPiyrW4My06pfnUHIm72eVsazOhgE9BdhBb3ZPlI0EP/GNjEKQH5vjqb98g7k6BxQZIK8 H/vguz1HNdpdR7/3VmO/hLDVHtx4SeTz5O48sBH8TJGQbemtzLFhZOblExuRUlCRqzwlSiTYGOr1 cu+RudLp9sr8JC5yxInXelGtjfsij9YuQrKJHMrhP/dJofh5Ah1zKMP4WLu09WKOUhl/+0xOHuIJ oA2iSJ/76Xr83qHGnrpn+8g4wm/1U4ZjbFczq4wxvAV4d60f984Ls254o6wb5Rrkg0v9UADViLNQ JIu9oGXhNcZ4MhCE2WZAMbQk8TIpRSkEhz/a4wLZn7JiLfUa8sT8PSqDIzgJBcXgM+bCYsh6RorR Ek6iE1aNZTRBShJCkp4S5UQuRQGUmb5buUwK0D7af7RNvGLPI59IcQr95TQHyCo30+MV8ezdZvDN 8FersFxREZmTHAeyK1FK9jMVm6RczXNaWU0bQFNbPG64hxNeBPXFSpK8VeEEcB7FBo3+Vj2riJTN 9MRY+f4L61HV8H4b3h9kcliJVVzMWvl87QB+5p4O7pmIhOpepe/5etk12y+LS9Dr3VKGjXLPAZiV Ydk1l4Rrn36AtdEbWCv/6bvLZfvMMDwt1aXzS41y9BRMzegEVCSF+gwpsFFS+ppWuKbUeCSnrvTL qR8ArCaQMdzkwjIiQ6tHSEagVGtseFZv0qo6DGn9EhlNiFgvzdh+9n442KvLZwhRqlFR9gtn0def XSnffm41BJ2BcaAoLq5+dTgTpJhj6oVsvEchWoyQMhhi1PVQjaKv5hoSYuRu1trhrGYNGsQJt6MK 5hAIhyRm9SFS7MChx09vlcU1mrwfRrPZbJSnXkkoglYxCiHGP3quUQgKHIq9gbL0OkqgAtsG00UH u0O2pYABOLwQ9p7/Wz9aDZAojJZ9oVCsmUPskuAGayDfDrt2k0oxjo0KCULDagJ11W9XtQeptlv/ oNep1cqLlzYCBsJj2dNLPi1TgjKcpUgyz5dTxlPhCf3g3ux/u50FIK8X/lWjvqrLelBUPNZSMdGO 9pAn7U/74nURosutriWXPSWnYk3xkgvfv28no5venHXzvBRadvFmZ4jfYR6lIxTUIjetentkvMxO bEWl/FeusGhrw0OXV7fKg3dOhyd0PMB4SX7GBc1KkZFQGbqZxOt3Kxv4srxXRbBXds83A2QXIMCL OWLdAFYuM/zUx+9vl795eiUelOUSXxMAB8EEE4ft3IgMvyplEy5TOp4Y9XtxoZdXe6Vd75b5sW4w UgpFXnsbncegXLg8LN9+rl9eO1Mrv/t4rXzliWZZWquVZ346LHfu3SpPPNQsW4NWeeGNelnv2rBe JFYdcleQqF03s+/qZdfqpcwH8VuztJb75fL6sMAohpuNQjc4lORS2uVLH58eTbDJat65y+lJEXCV Kh1Sehwpe1fFGImdwJrcSpPyu12huPaNlb//mbly9+HxHN80mfTXUaZeSyI8eS/7I/diytBvPT4d IYV1fvtCsiNgCnjxtc1gySTMlBzBdb/aU+RFyESnm8ocrY0DHcaolQM4Nd7KJwWgcjiMPRc68a4P 7pgsb5yluAaBi7JODhNlQaFXiWYhK49As72+wsAFLiUMwH/W2kxDytN3CEUxj/AuXn4j4QY/OrZe pseTKtleAT86xLwMMuf7KBLrQfHITzn8wZqwnoUe96KSzgP1HdHwPzLI2eOYYXBFJ7NrWzNkGlSH 4qL4KDY86b6TEiUXMGvOn9RM5Mu2kiWDQrlRGuwfLB6lptpIgcsLV1O2c5Sds1UvD93ejj3TfG3N yTJPnGLWMeAcOsdRfR9hziioh++cDK+St+7zKHNwBvcjTPcMnAvPPDk2iJ7bX7nCcu2Yb5SnfrpU JsYlyxPXQ+DhY554JBtcq7DFwisdY8mU29I7RjFxJbn+HjjGkeOIH21a1fQbo8dGPEQGOrI+BOGn b63H5/hc3fW7t7UjZmf5w8J3E1GOuN8gTnTP461hOb8o7zEsd+wZlE6nVp59rVbOLE2UjW6nHH2L 8Gh4BaZrln/0uUE5tHu89GsT5dTl8fLR+8fKA3fmxBX38Pj92cqgcVlD81WMwIhuw41MtXKwpKoQ r2p3TNlNgjuHU57IINJ/+Pm5ctsB1CdwOjmCzGdo9YiKz0gZ9Qftqx5C8Iqd64ZnwMuBH/ogQkVe j//kRAL8WjmSvWF55UAmoCV9A2ezPihfe2Y18osE1WPjSLPXhJqCMmSBsbEfjImw1wHE5ilxHZNn 1pXkU3FT1jxKCmYw2AqFRZFXeZhmHQOsvGCt/ObjJdIBwkhePAVFEcmpkHihEaUnl3N4b2KgUMO4 V/cSvaKjOXqWbmGlE/cpgZy0yUKbejmz1CvzclNyMxPGZXXi2R3A5FAbcav3B2Wuma8hDiA8fkep VFVM3SPC1tcwmGzaXxCGVnjePBl5tbWNzdh7r6eAhI4EgkeVFEC9GNDqPc6PyILxozyt6/XQoCok 5i15Zti/7HHMnlRnTb7M/R/Z04oC1F8/vRp7xMkgC6FAl7NzwL/dVzSCj+Z8UtgasinAnJGZ+a2A oExnYc4IOXqBh0gP7J1vlvrwA2Icfa+LEC8ubZRGIxszCRpXM0nzEr5PsLn7rCcPQbws/mZJorlW UnlYYjachSHIuu39TvKWUqtYKZNDK6uNhJGFES5gfmDVfI9QQj7L71l4nekYQbdNSXR2y9nNEiyY U20eEZiBKhzen0E5vtUIpXD07WF56d9ulj94Ylh+/zPT5advDct3jtbLqQud8l98Um9bq3z64RyR ZdNYoBhzFmjnzKkFHYe2mxE1itf5/T2H0Y0kiluTNRzRv//bxRAaB8r3V3131QVrfeO6X5+MHw7H gvHA2n/mI1pJPrhEfUxFue6qYA+3728Fl9P42FgoGcBHFUfAyvVOP/BKP3gxR5tbGwfkn/3Bjtjv f/XVhZADxuUzj0yFcpJoFuqzxJXSl1+hIB1AY+k5lcLCpZVedCDsmuuV88tGhFHYnfh99BEGk2Ye RnLHw6541iruNuBPxtCBUnYPIGlnGLQ0VYhMfvU0uj/hbuXpyuvxTKKyvX8sFAblBDDJOLrQzPiO Hx5dSwbWGD6RFcqq946XFMNbppMaRz7KPYtGKJWF5UEoel6Z7+RBS5P4zgj/AEaXQAaSe935YxSr MDSapUe54QqD5jsZByEyOfE92m3QSzMG2rh8F2UlvVONJCNfgxicm+h2+UcKyf+kKdxb9rZSaPJc 9au4uPD8R96he2VsT5zB3JJh/uN3fwBTc27lSnZJGKRmQAXWZ/plvTMWwoOvyMGVX2FlbT7XMZTX WibpJkaJPgloguM1lFUV1tD2DiHLaYaZfMYffR7XdSNK4X/6raU45BqGMXPajAraIPzS50XwVJfe PDwRiuWpFxfK+sZ6WVhtlePn6uVTfQDIrXLiUj1GE0VOg0D1muXpn46VienxGK760J2T5Y++KFmM 5iRzJS4CoQWFUKpmChOy5aiU7TAyo/6zHP8kL9CIEfTyBDaQgMDTfO7RqRDcX8Q7sq5CagfLISe4 v6yX9U4XXRLtUwuZj7SHQhbwBiHjVm8zp6RsoG1BP9wKr1F4xVshCxUVCYG+vDQMo2TfyYsUM+VA 4QjbKBt9dJ6RpWa0VBAP7uiWV08Ny+tnNnKKsRxZP3NTaGMMHzW7T3KXh6d1hwdzEEvE7pxRaI1U Ayk59DfVkFWh4/jo90rwoCYApgwxxfsSZfyTtVBantOzu3chIBl0oK2TSIPyCd61YY6RJw8MUnSC TDRC0eCXIkcq6hWHFSVx5vIoIT4a3vDJhybLv/ubhbJrWyvWyLrXaoOYrAQnRVny1oXHEaph7R31 nsoT8wgpqv27W6GY/fxzj02F3II1mGQjSiLL9qY94svnObtHYFW/87kVEyvMGHaY2/a1SreXwN/I UY2a74WWwmYyY//Iv3XWiXKZ4W2l3HwoCst1aHe9/OX3F6Jac/z0ZtzU6qaybk4vwcRoQeRmbDBN zep5GIv40XtynHmrtRkLrjLIEtog7i3X83/9D5dC6P7wc3PlJyc2yycfmAhBkHcIwe8MYiIw0jLC Q7goKoJDgOQogE15BXcemgx81qBfjzaNbz+/VabG+6V0WgWxQsEFPrJKx0/z0NbK//TfHwgWgOtb UCg2Qsbi/ehYVtXQv/AmPGNbdWS6Xi6M0MCS/rwH+SAj3Mfb2VhKmRneQZhZ4F8kcV715fls62Lt KMhfhdKKQQTrmUBlPYF07RleJNzpFM93nl8t/8ufXg6l/swrG8EGQCH87Q8zxAj4w+agfPeFtQgT KCPXygYqHNNYwGDagRvaNd+NQ1iFWxUP28JqreyZH5RPPjRejp7slY+M1YIaBZeWPJcxaPbEYSNf cEMwSX5HKW31HdjElmVvqBFpw+jFJH9VgzgDaIgqahWeAo/j//qLK1fZRoMBdTNfRxlEV4C0w5Uc Feb7YAYZYfLuOxHeBZRhKUdoyQepflZjxWAZeUrf+vFqhIDuzwXaoPoaDAqbEvA43XvxHgpKZU4Y fVtMthqWp48CuSY/+2S7ER6tc8QYUF7ODoXrIn8Gy/hsz0CWeXyil4qRl0KjVKUeqoGyvo8HmKMJ E+EuTKdMvc914QqvLKf/8MYpL06HM1EvjTI1OfbhKayNza1y6vTl8nufrJe7d2fFTkvCcmejPHLP VJkcT25rHtKTL62FdbEowiO4DNUiC2RxYtT5CGn7T39nPoT74TsmytefyU74//n/vRiW/amfrAU6 W4e90rvSsxic5oaOFhJY4OWtYdkd8/pSOYy1JsvdhybL1HiOROKhnVnol4ub18U9MWoFsi+ZBISj DgxKkLFWJkrdrw12aIWlMRZq8toQAgqDYExUE2EwcVK+O5qZ51lPAjX3lRWtzIkhcUNl4jMCt/U+ FA7BlBuQEOWVAN1WiuBWryr9VrUBvRPNtfyKcOJj906E12tiM0X5wutyIINQlgYNBMd6PcfPgz5Y WvnFiv7anlaeJzZVnQj+rRqJ9oQ3rbdSyOFgGLJqTT5632TpdMbKK69fLI3mcjl9oRUKwpqG9661 ZjCIAo7ck3DPffLO9CyCTVACMRUZji/GqSfT6vVtRi73KTfktQzk//5nV8Jz+u1PzIQRe+bltbK4 bVBeP92J8IjB5lFJOKNgqeYbOKRyT56fbFIU2cKSDBJybtVrDuySs22Fh6V4YU8pQ54fbx4afXEl WSEmxhNhH83Lu8cSR8V7G1FI+9wYGYclI8Uq/s998cgpHvCNRO6nN5ZDZGrlq99fi5wTxUmmKWn3 wAvTpO81cl1yrtE03khWhjMXk0bKf5DvZhLunM3JORSVffC7GPnWr5XNd2Gu+sAVFrTr00c75bc+ OlGmZxOHEYK9tFlePLZY1jo5GvvplzfL00clhscj9jae+/Mfncrq1kwjEu2Hd7eC2sJB+B//9YWc XVcrYSlYEuVoXso3nl2Nfib0LwSRF8NdxVdk4aKMPNko7c0sqbPW2lzkSGBWVCYdCvmtMlAjFoNn H9fb+KS0CJmPZ2AmIsCpRuCQWFkL7oAZ1vnNZ1fDOhJmgiZBrWLTbIwlWRsYQhP3FY9iWKZ0qqso XTcjMBPc6U3+ybcWyu2gBbuyJ40b/m6MCTdelIjEtiQ84/Dbjyfh33tdWb3KpPfGRuKFfI78yY3v pzCEFNUIJ0qa5bYGyvHGQdlXfOjfeGYlDoIDrsi9MBJs4Y5DDETIyiq/SzT7r5qGTNkJU1h4lS38 6LwkCpD3oNCy2m2X22Y3y/23TZSpSdOhO6NZgFvh0T318nrkp3hFj91D7hLvZU157vccGg8mh+sb mSlr+6jQ4+IJ2iPrQ6FmyNMI7FAOJcUhfyXuUc5HGMyDUSCCCWSktKBI4lPcvNK+IbFoZYIWO3tG A8PWSmgKA0meBgPcWRMR2v7w5bUoZP3Zt5eCXgfljHyu6T5wfIkqz3YfitTwQScAACAASURBVJsy kUMDTBa5gIiAGyjKRC/fBLwfyvNEtR8y/GSuWf63P7sciky7HECsjghGKqiXu5RpTr2uBiVXe0Kh YmLxM5Aia8rr92dSPQ/KSyc60etrHyjVrkEi2+vlzPnlD09hbW7Vyolz3NscMVSFNPijprtL4RZy CefG+uVT99TK0vpaefV4KacuCN+SkxqdRRLNZVXIHDRULab0sEKff3SqXF5Bc6uC2ChPPJz9dTbU 4VTN4bFZmN//zGwcJmGJ9gkLSBB4dr6rIm7jyflzbOSZiMuDsXKzHqhulkRe4g8/P1d++zdmAo/z r/9qIZQYxReTbkb82Q64sjyhc9CX1iCwB9lntT2ToeFBbcOuaDrQz1vxL35spjx3bD1cfrms4G0a NQu/H5BoRfgnec8iqsCGx1b9PlhZs7OAl1hRg6Cs5Yl4bhHx8TMwbKkAr/9uoZJGWda7Gl8epHPF kIVWQFu++v2VuO8nPjIVnletPhkJ+T2bIxrtziCKqEr68E/Ah/KO8kP26eE7JwJ/5jLKy2dQGLwl a1Wr58DZlbXxcnFpo9Tr8kmTUXXdt6uZk3qwUOwZi5Cdkjx+phvrEtS+9Vr8nDdOOWJYwPwaCBQZ gVGVUW5F0cD7KSNrSRHKkUXifSwHS1R9h+AgvHtKl6dl/XlZzgTFCd9GsTFqqJRFFNqL3Afvwz4x vtZ051w/5MBr3BclsriyHO1UKozB8BF8aK1ISbgXxoHSmmhnqiHnNqYHK5Tfsz2buVHHeA7rQLa0 JQXp38jL2zE3FWBi54cHyqMSaTgrwnVeYtWfG7TMExT0MOZs2vfnX9uMdVYdFZlQyN/80WrIy+37 9W1mf+9b5zvR/jRW/wDHfL3XtbHZK//ll8Yj+X79BWRp+KhJMo16s0xONEu3Xy/LG2PlnjsmysxU uzTq9RF6HW1rKTthX/blYFb4KUKZRGdJQ1Llq85e2SpH38iwj3KD7ZFLodEpHTkkVRHvZ11VNuS+ CGIOtcwhExbNe2h8lqk9Nh6WiOBTYDyUu1X1YgagUVULUc38i+8tx2fknLWRkAtru6MqzKiPkmAL VSgH+R0tN5KZvKkbr8TBTJZX39wo40sZSjrkLJGpM9bk3a4oW4+qehQja6m8n20v2WpTTWoRDitI gIg4bLwMoQlcDqVLeLV2CBcqcGR1VewLVbjrIPBMhUs68O842L5KO/Ib900FsBfK+e1LwrNa+Zd/ cSVCMAhx98oLdsnffOnx6RwmsYXbSTdA5kAo/mgOHq9HCA7C4QAD264sd8u9B7vltgMz5fTFQfnx q1ltjuoyjNwwvUBTcLI9RsUsgaaqejzf3k95CZm69B1koRqeAVriYB57a7P80RfnIhqIawQGVuSw hr/3xGw0Mrt3ioLiD4aEYGjIQR6UmnV2cLPxeCoMk+eUFxKmkV04N437f/j5uejJjL6/zrC8ttiJ pv/ggg8ud54Pwsjx+GxekJ+5X58jRI15CcNEvvNKKRZeEWVMuUhPkH/nhOdELjw3BcMDptjJBU8x vD7rudSPnDBFZi29htGT4hkbyyogD5Xxgd+y/u6NDEeeebEXZ5MRnxkflvnZDzGH9cTDrTLeUhHp h8XcOQ8TwnLWyosn6mVyarIc2D1Z7rmLEEDFqgxmaVSFLHJXJ7OZUrhIY/N4uLRV42xUI0dDESgp Lq8Oewro//lriqFTXj+dID4HFdujfxNKgsIy8orkWngVBIQiCGzJfKM8ctdk/J3LzhKyXiwqxsuX 3tgsR/18ExAy234IhPuwAdzqIEHbHETepvLaCHr0kRmOels7qjGAeNFLeRNvyYE5uAdj5HR8l7yF Q5xMozcPC33+G2c7USWNcWfdzLmFAj7SjsOiwPHsqxuh/NyNPj7P6jBRYHIePCtYJbmfqkKrqhfM mVFZ6keOpPLUkgY7n4Nt9r7Mn6ngZTM8xa/CW81dtC5Cauv/yhudstHF2JoeEy+cl+E1f/C5uasg xmR7LVcrgPIlrqAs6oOpbJW/+UGn7JvvlsnJYTn44OSIBz3HxyfBXIbKPCkfxfO1Tp4zyvojvJb/ 2VPrwhOvuKKqsWLyVX4HtAkWY699OJ738KiC3QJmLPFW1jjaWUYzEilchzdAotGelUMmPAuZEiEw cIo17slnvow0IKrn6ZFQKm+elaurlcO7xwIAKjTjBY3flwqRoeABqUB6v1SJ3K7IhVGxmNmcvhZy ig2kvQY8uhlncnNEK7S4uhVKV/GCB+3ZvZbCkrslF86Bc/noPcl2ATjKQOMXc7+8Yl6fM5YtOtni Q0mr6nvdoV3D0mhNfXgKC0rdxr5wol4uLg/Lw7cPyvGzjdIZTJVGq13mZttRmQsWRPmQoH3J/FDw FTWUsmGstiKhqKJzswNa5bMIEotvcQnHlz42U/58I9lKxdesK+BaLlYj2A65rLS6jWKNJEgJUkUq xzuzoGJ7+CrKTc7ke89ncp/y/MRD6doTMvdHSUlI2lSWOvBJc83YXAnjqjrpoOwS6sxlv9a7hXY2 ncUUMm6fzX87rO/0nqSLyQqQl1bTox2c544lXcjMiIbXTEQhlc92r0Jpzyb/RDnLDV6f5PfZlBul RrBwiMs3hgcWDe7D6C6oplcDbhJuexPtPNhD97cCP6WKZE8kdQ3p9P2/9fhMVMkoKehnhRQQA/kt 38HQvNPQ3MqbXBqHsm+WZq0feT+W+u7Dvahayv9lI/NW/OcerOcd+7NdxWGumFV5Hcmbn+1iwQEW bUS5B/ccboXnIUca8/veSoYJBtZzAUULERWAeIOBT6plQ7siS7TUbEpGG6iazc0MNW+XDG4cGkSF lGfjXhgPuaapiXpU8yrFBw5Dlsl2zmFMRgWKTIVPZ8ehkeeS+aZWeFW+Q8cCDxL8QMRStQ/JLfmZ /KWzJ33BO8OxTwF53jv3j5cXjm/E9zlD8mpjTaDanHBdwUF8J0VGMZN3MsRT5MVZF2sMMeDskEmy 0OtulhmDDT8shVWN6MKGsLgxXk5dTGDbkQPzZXxivKysZVhiod20i4Zl0WxEItiTYRIyWkWCwPoM B+lG/vGw6vVs/5E4f/619Ug+AqrJN3BXHRgbz4W92NoKt11+7e7D2bH+he50bLAJKxpbLSxPRZgS VDZr/WjD0Dj6m49Px894be6/QkezzqzWgmEJB8bCe+DdOGgsKiskLFHVxDzxt/tXApm9d2cOO30n JRTPV0vWzfe6vJYShEvaNjMdHoJDImzFR/7o3ZMRgkSzcvSqXXsvIaa8CRxv82a3E0nqbRT+eCg4 h6dqrFUF+8GLq6EcYvgA0OXGIKpHFAXDwvLzclhbF4VKwasay1l5LaUp3P7Ug4aiGhJRj8N7M4VV rVkYrxhF1iz33b6tfPvHl8vmcLPcfSgVhrYu+CWeC8MmJLFvMWR3RIXjILuvHDxaAuqiqqgVLBq/ 55rxGZSS+0tur/T2hT6MAraBGGk3mtZUr6XsBWC6kZxn3vvmOSEyTzQhChL1PFtro6jw2UenYr14 WVIdvNVsy+qFMrBHvGCVP8+h3SnCwkHuoe8kZ3KpR/YluNeEZV5ghT4PHvnhMAZAVEUGIf1PTmzE fbzNGw3mlPTuJOp9DsMrkiDbvOZImDdK4AgruiHnm3xYX/c+mOcFo3HWAD4WIbHqLOO660Araa0V MzaH5XOPTJT19Q8x6V5dD91eL6+dHy+PP7wrrezEWGk2m6W3DWQhGyl/VsldC/fQfMxMtgPLY0IH a0h4WQp5CBw/118E7NlXs7WHooAPIWwAfoRTDsGmJFl+iR4xyo1lpSx5DA7cPfVaOXh7VlVU1aC0 f/dTsxFuCDm1nlhwG6EJWnijFYKlIhy8DkrCFCBur8NSgf7cGxecBQaei8m8Z7tpve6fCGG22ZUS /0WvYFwO+t5M0F9eyq4gVuydQkmXCpCq0Xv1HkboNFmLMM39n7mUQMyvPbMSa21vFDkIPa+FYvdc 1m18Nj1O4bJdk+vIz2vEdBw4K7lCFS+J3yc+kgns6H64hSuGh+6bLDu3rZdXjl8JVtK56UwOVyBV uUpKhVFMpozBVaaE8XbiyuRzyIycy455xQi0Mo24t21RPc65l5PNTEsIccE04P0YTgqFPPDkADjJ XqPRu1otI0+VsuWhHB2tU8VG+s0fr8XeCdslzxkQCPvLy/3oyaUwKC8KQ/ok1nH0LJ95tB2ytG9H L4y8HKk1p6wpQWHbC69txpnCg+97yGbMPFyiaLLtCXSEzPhO8jzZzvSGNXR+vUZqBWBW1Z73ZZ/I P8cijUM2eTuLV5ay0T2MkFmI0X7VCcrrzEVnIYCn6t8fusLS/mLzPvZAq0xNcRkTuJl8zzd/T8XW wDKrDLEUNDmOI0LDs3HgLQxl4wFtHIHhIUQX+GIv4nxeDWXxsXsnQ7uDL2jCtVEsqcpKDCQw/mlH MxKaDloMpERNvLMVG8YbowB++tZmWAJVDtb2H/3mfCgHQkD5xBQUAz0v96IDnSAR5orxIPoZR9xJ Qb2yLa2/36mgnHi7m8Rqe1vhXd6MO6oKga6/lNwdOK+/HsjqCrrd/jAODQ/i3a6KQPG9LgqfR8QD sTYVz5L1d8Cj4nY2KaetaZUHo5BePr4ZJXlr4NsIpoS2sFcP6OKh5O6X/7FP9qViYr11epxmefSe 2XLi1EI5sBOtTfalVqHj9VOeyKJ/V43I1WsoFGtHmVjXCnTL4H33ubWoUjqw9lBoxpvxbA492eVx askSPu8K8kCDTDPBXvV8ZitNsl4EmHRE4Mh4+nyhIm+v4oCLMfMd+anRQBKjyU7zcBPTp1hAoeLj evtC0tnw6j0HeafQhLXCxwSVGlzcjLSAQpPz4nsZCwqdR+tefAYFFNX1I+2Qb8rTs1aTpRmnoHxG wdxMb8t62XtFC0rLc1prCpthBD+q0jCMknt6+K6JsrG5WeZnP8BR9bd62WiCgv3xyL7x0p79WazR zS6vZ5ksyp0HkhI5wqlTGXqwjjhzhIkEu2K9tLgOedWfxGJVEAKbqDWIBwFbYrMduBhpNNuIWD6a P7c1wo1VziZISvA+m9BSjg5mxefjvWifY8wZiMHIy9vXT6qcwwupkX1+ELiNev3kh4BaWVOfLd/A ZaaAPbd4HgvFP/uD7WX/iJs8vnM0PTcHe6ZiIHyeA5slQfe8yuhCU4rWn3EIR6POeDEfxBWJ/TOd GCpaVUEbjcYIAZ3MCrzg6BmFk2vXI2RyD5Lrp0yoxlCxTKjleRpBqSspzPJ6n8OYZf33D823ZmiB 7j0yXfbsGCs7R/TKWfAYXlUWwSfWTaBmTHgZDYmtWnSqHj+KhNKnyHgW9kwVlTwEv9u5bqQeHMjg ptqeuU/r8MOjyXMmlKRsslUpPbKgnxnRLAc//jC7Exgsn+u/+K63U3YqHFOrWcr8bPK6HzvZCY4s 35ec8LWgkwHjICeAo531HDohPxbsn6N5B1VqJarPy2h9koTQWdo+m8SFPiNYcaVsyOe5LD6sjgpR MIQKFNbIM8l3uReOQMxqWBwGGl/DtrVzdo3w8hlV/2QSHJaAbAQj8dqgjOm9+rAVlkOKA/2Vk2tB /CXmlnDmFRHKc5c2w109sHu87FQtBNlf6EWYwV1UUXLgKyBdDM8cTWdhBRz06L/SWDxCj1c5sErY HGSeDst4ZI8mY3PXmjm2vJtemY3HRy3Pw7vzHkIjwewAwS+5X6FOhWCvoqbrrXUVikkkh0UeYZR+ dmZgIzBkLBMvRBjqeymxmJEHt9Yo5W+fTSQxC8Ql93MH26GQ7zi4O1soCBTlsGtbAlIT3zPqZRsB TH2HCTAfVFcO78NhOnkmrTtLrthgrQic31tPe6AvNOZ/N/KwO3BHjydJH0PiQLlP+ziFdmg0VTgm GM9nUeIXGfC7sLRWTl2slyFIw9n0CJImJXm5rJF/VyPtJbwrNL5CDTkZEXYHFIBRSvnKUVwMg70G mVCcwFkm30TpzUxjOJW/KvFzCprnwbjwzHlj5JHs80BiwCy6FaPXyPRYrRwcRQ68VDI5NZEV4lIw ho7FsAnsF5Nj9aC10Sdp7eGd3jid1Mhkk9KIdriFLEJRqPBWnhUWkgdFnnhnHANy5nf2h2dEMUO5 U0jBJVevBXA0aXdGHQ6TSYUUkJZBCYMv90se9Q27r9V165gso86nwcrupyp+8FQVB2J6UH9QBnjp PmyFZfcePNIrb55fK8ffbJRjJ1GTDMp4M4cv1ovy7KAsLk2UnTtmyv5dGEMTW3MsmiK5xGkdqx7C FMqc7FKNTL/aXjC6OlvpwYnFKQU0xFltyxaZ2/ZlqwHFhDHylZM5rPWvnlqJz6EkNcbydr7y+blI TgdZ4GQS112Pgr7ZFZxGNwnnXH5eHUTP8fpbK6GkfT+PDayDApDXkp8I1oLbx8Oq5sZTst2whJLf cFM2O0asj0r+wTG1mPkNApHDHT64ydqeX2N1RbCosmsvKCkNuACnr0X4nMMFKCYhDxCpSqBDa8io dMFYay0Mw2FzE/sOaY4DU1HiJb5fKq9oMo5E8VZ58Xi3fO8n3bJjLqlLeElRbECON9pHDbvki2xY I6/DrLm61iv9HoCrPkCsqbiaKM+MGiqyvEwqZ1jl7xSMyhyFwfCSQZAGCpLhgRmrJjPz/j0j76Yi QAQStdfeo5pIVnjWQm/5KRcjwUP1Gu1WOkIo2LfOJ+cV+ErAVEZ8852tnK5ThbiUmP24sJiTpII5 pDcaKjudQ0KW1zJcZtjJEAdC8h1cweAZk6JNvHHWhLiMovf7Ps+uKZvR5Aw4xzlMJo1DRZUd4efp rDJqBJ+b0vGhH5SSY+g+dIVVyv7twzI3OSi9wXJQt4DeN0ybGVUWaORLV5D2YTDcKnt3tsulpa3y okrfBeRjyNHGgmerugjGu41XJxx/9u3lCLv0JUIQL67lpF8bK1SyuJLGgY3qDcs3nlmN1yROK5Pf g5IAQwdOSGPxK5qRX6aJuMIBYWQ4ezvUbzcsMa+LcgEMhIamvIWrQHoxhn6QoYT75dIDo1K6BC4n l1y7qYo1gNWPnNxm5i3eSZHeyuVzrKFDLqEqvBbOyL/BiXHpH5ubKFf2tqLMr+QPx1YxlC6sjIdH JXSUO/nWjzuRj1RC5y3zTB24issd8eMvcjUbigut0qovlrOXCH9i9lzun/GxZnKkCRKuh4fIUx0H cuyCuDhYeu2y/OgQa7CGGYyDuZ7Pbc+8JvKHwa2+Hp8LQsFT/Od/fKncf9tUhJ6Tl7au7sft+9qR sI7OgC5vOSfMbHaTzA4ERIi8d3tO9uYB6v87sAudd1Y3yagIwcGXMyKfj90zEcbEmlfFgxgUG7MN E2kf1Da7SxQR3FcQTa7yqBL/xjviafJ4Li6uR46Ud3f87c3SqiexoHu951ArKGh4zsJC8Jhzl0fA 2QYQsiEVvViHVjNHmjEaEQoaJDvbCG+PLHvmamaASn2392tSWNnISfAGZW4y3UEPLKnX7bcDRDps Nssrb/bKq6dWyvjYWjm/kO0AeHEkav/+Z+bLZx6FkE7tHLxYW9kGII5WzfiZ72zWon2BwvrdT81E uZyFkS+gzSkhVn6qiN1NtU1KD/dGaCXJs/UgZ+2xCpDxDp/fsV43jod/v1eldHlUQimVnwhDRhY7 ytaTScubzJU3js7KlhKEb7wtf/c+nkmERTEeK3saHXwCzeOBDZJj851VdStnNmbiFuI8YA+jaTc+ 57LxV1dy3FiEyCNbUeV1rL8kczV6LEr6O7I/0PrGoFZDLU53yv/9l1eu9gIS7BjD1k5SN61IjJPh JL7nF11f7UO7dkyWzz86VpZXN8pyBxwhAY85GCP51u49nAyXENuMBzaRfr8XYVaj0YqKdkwx7nZj aDCa5hYrWxJcGonxsWykx/jKewtm2020yRnWUo5CLkop+Na7maPlxZO319/O5DmF6t6yaHFtXgkv SwgqdOON9fvDq2SWPBif6f0a5Ktcpz5N4aZ74aExBmTIyDkKTHRDUcv5okA+dV74hkcrc4v2g7Lk DVIy0iNoxKfGx2N6+9omltJhefCOJIZ0tijPHJTr/GmrS4oYaYz56Rw0EYNl++4xexx5tP3+NcdD oYzxcEYnbcavQ2G5xsfHI6+AuY6nkKRhtTI1M13GJ2ZK30iuiU6Z2erGBh3YXSvb57QSrAei2IBG 4ZJNdcDlRSQVhVWAcw5MeEQj9CBvgkLSw6WsLhlNa+f3IgAE5DSPcBgwA7G7A6Wk26hn2dlVuc82 ToUwKo8RdzdGTJ7ZqqE6SCCqsVa3ejnwNruqtFSX/EgVCqme3eyKg0ZxTmV5mBWDf9JmJByMfsyp zK24T5aLS+/5VX0oskBKr+QQBEr+zMnN+Le1quZFsqTWzRoJYdotYVtWsoQ/1tmeHNiZTKSZSC9R EPmjL8xF6P39F9djnXO4Qi+YSH0uQyCsYjC8jnGRnwkw7S8hb5TMzPR4+dLju8pke7EcO90ss6AN wXSanRebnZwuDCC8e47XsJXsouhlWteUlcvftfyQ4ahyN00pzrCbEr+8pFMDlVEmk1XUXNZPrqlq 5ZEc51X4VOH08TMwgxuhFCgW6Y+Y3hz5SjLbCDiQUJsyAk1YXR8EzUvMTjyS8BvVSTnKalhpp8co GyqRnQxJRTPqEWzn9J7xkXFiaGLM1gI+s4w6eF744iTUt83wzHpB13P3wYkItWNewESjHD1JiSbA WlW8ajvK+ZTJVcarF5Int3tWExlbYW/ASWKIbeYFZybH4vyPtyT+P0Tg6I1Xuz0+6tlKJsMzl/rl jfP1smvnsOzeYbQSmtp2JBwln1n8899ciiZcCU8JPgcDnAAOC8DOJloEsTMhUUXMIZTNEACslVo3 CBG3lUWXk6oGQUrE87QsngPtu4E+LTzXmlU5cQZVBmVEiHIyM3oPoQ5FKEx0rz6Da68DH74q+H9G 1q6ilLnRW6jm4LFKlN/1163mbSgVBoCyY315MN95YTWe08bfe2QqeY9GhP57tud3auWg2II+pUWg ctSaSipviCKR/8BllOOpauXuXdlLZ72D1WIlS+yDYa7lyppJ2pl4dfAocKBA64pBFSr82VfW4360 3Jxa6Jcd49mawdMCGBWaREVtZyu8s8in1H/xsHDvrtnypU+MlY8sJ8JcWGPoqr30PZr09+1sR7oh m8nlWRoxS/JnPquZXmun0wnF5TXVvEVGAmEde0y2eBQqZQ4hBX33YQZ3M4yf9YEcr5hJMUi4Jx4X GZP/w1xg/abvyYqpz4+qmaEfqwmeZajsafL1mzCTw4ob89cGBsxNkj0MvfYpwz0Fn4WVZuSueOSv jeWkb3tMgYYcxKzOfjm8xzOLIoZRtSbAna1OGGz37D9FscWV9P55ee4N9ML5oggj/B5371kNJqfk TFuXhv8cmlKP9iM5NcUGkcvqeresiePfaW/Lr/iCYF9ab5R2TCiBh6EIEvi2d1dWuTwUbesA6mEi 1GD/NldVT/KZ9eUZeZ+KHa9IQ6bf6Y3Tcwb3U81ck3AnIHJAoTCGpbx6ciU+3+daVL2APpdChLEi FBujdoKcFGJyi6R14sh8d7i3l7ZCEIPcTEheKwHeI5Rel6PYU3lRYgQyPAoKZjTsVdLZppmw8stc Hq1qDcqhm61oqlZVvf7s5cQdzJZJg8t7I/g5ZTmZXdFRs/A5fedaCO5i4RkLyXwCa1J34HtGaHHG QkgjpGBlz13ulr99ZmXE+Z05FoaGp4e7+LI/N4fltPmLnUH0dRJaykolyh5HL6gixS+Qz5LIXVjD 5W9AAvBuhoDWamwsQZKz0+3gj3qvq1JalacVEIh2TvmOoRa9NAbW6qmX167S85wbGTjf+enWVBqY 8XrIj5DQMwZZH8jKlV6AMq19KK/j2nQGsaYMXMWhvmMu4R5vnd+Mvb59P4jLoLx6fDM8FeFhtKBN 8m7XypkL3ZFn1Yi2uZeHG+XYm91y4Uo3oDwMpj2ncJypK8spE3J2h/cqUKxH3pTijEGuZ7qRfztx JqepV4yjw4G2KOFnKq4ktFTUyDF/3js7BUoE6d4Lo9gcSzkL1tbjm6EQN9a75Y6dv5YqYV4XrnTK ibP1cmiHhxeXN8vUVLNcWILByRxAbnxWLCyCBadQWHysj7Q5T8nh94CUTnCkL/XKyXNZnv2rJ5dD 2Fko+SYLS0gdFAJVlc5tRlCXbAPuM0V4LMLIYK4EJDQWaStHaMGmmOYbidCxzHm5TwJD6JJio152 bkchI0eGU6sfSWnJ/rW+yl4C5iRqKZRIhI6AmgaQVk6En0Vj7GbyHoUyua6yIuTi8VGC/nMfvEkh q/v3vZSzxLb7usFRiCvK8qOR7j/788QOXd2zhV5ZiZl5vIFe5CSsMUUX7x/tg2eTTwnK51DeOQWH 0qeQjQb74dGNOHDrhrCe7cafBjeodrnWRl0CDubpM8j0OgH1oDwlsHUuCHneDaV/06uauRe5S21C SdPikLP+8kFkgxJ578pvhor+pLSwjtx1EPFeu7x6qlMuLXTjmXmJf/yNxQh3Yr5mADYzIU92hJ6e oxqSOzadPOxyXbMHs/LtHoNFZCmR4zy1xIjVgrseHIFhjGEcYBSTjcgznrvSLxcWQSW0FuUg2aU1 eeOsdla4PN6fkEyCv9evRwgotKx6cf2us5X4xujrHYXuiiPHTg3jTDBY7t+Ir5xelC04WTzRDpdG MQgF2/jcklXU53sm51gV1SbZe5/luRlwQ2Dihn9dCuv1UybZ1MvMR0vZMZOLtXMGOn29XLzcLufm TLVJTmuLpsz93/y97aGkkr8qc0x+rnrkEGusVTqXK0HjIfFsgeC8VCwoKFaAxmf5KL4IYQbDiP0p LAnqnHZSj6QpJUl45izaFi7udMUpAwpVkjMtTT/u158nTg+jbzABnonwFcISpnyWDMkoP9bDJtlw VhUC3889m3wIJcHqBvivmclUG8gyVRbbc6kICgcchhTKPHSsJ69KMEbZuwAAIABJREFUDuXGcfDv 5/JdLHOMaJrKkeeoo6O6EwekHmtsXd1rjKePGXwyutYpw02vFx4xKJK5e6YyPLYecjTwSsSSl6a0 Lwl8cVHPXEIbVEvJSDVm3md5bww5bV/rdUyCvRR4+5PDHbKMH72Vo6IFD4mHn1ij9C4dInvMO7xV pSUknKltlcfuzukyQtrgkVJJHDFeWDs5osYIEpPYuVZQsJy6gDgv26YonIrvn4F2D9aCUe0PMt9F GTAQjMPiinySEJ4HZSBE0hW5Hr1nKro5fLf7sT/W2/l56UQ3Ev8queR+22wrQKRjY42geBoMc3ah NSe7wsdgk9jI9iJGO4bNjsaNPfmT9cjBUsoVplEk4mdyaQyvc55edfJ9hUIcGgRDXks0U/O2f/Ai rz0nKbknZ3hu5mdb7z5UhbXV65WfnhqUT9wHvZrud3gJdfiNzbLa3QiaCsrIxT3cNjsVOSnJWHG9 1/9XX54fjdUuwTPEg6KwKDKhROSsgto2rYMFU/3gVnOns4cp80vCQJtpMeWyoi0GpchozLf8GAXH kqi45ITc7BH0HYciX8PDSPR9lO9HcwJ5eYTlb55aLidOt6PEzQNBAhijynvDAPepgmYyehB0NZQm aykJPz/VLE8fXQvhcN+sMwWgrM2D5I34HIdSQQInOE/xxtacX+RKL4k3wkJmbkavpKID5UH4rJUD yPNRnaQ4qyS0IkTSmdTL5x6bLrftb5c3Tnfi+f1cvgVBXs5UTMWHT4wH/aWPTccey5VFJXWKEakF 2LLqFgDU9HMGInjDq8kzihi9LI1TWAEKXu3H3ipkqE4KqXjLLvctnxfUQMry7cyzMGLvVjyRdxkb GyvTRe5no8xOSk43Au9HYZGfSJzP5RgxnrF8XEWPTAGQFd/hNeSF980wMJIS2Z7PBbul1WVmMpk/ dm9H/QycaxCL6vJ4+ZHc4MF2rJvQOrB3s6YYjZV7Dmd7HDl762KvHCyokXPyjTVzH5QUBHvMQwzM YzJBvLnQzY6MUdTjPdHovJmQGfsvjCUrNCtFw9vHHJyAYMyiw/gMhTIsEM7dg7e3I7e2exvvLUPC GMI6UY8C26cfapfJ9q8x6U6bBoanX0qjmQyI9UazbA2bMQ4++dtTyKp2AZvOjeSq2vQUgGu3+uVP zvzM69+tBE7IeVQ20ELLbRFyYdPUbeMBdJS/iv6wlX6EXRqubaZ8QIxDHwE+g+dKknPWyKjx8ua5 XvREvXwiDznvB6ODTYd2Jve10eFwuN0uC/fU+FqSoG1PgKoEt+bqKkGOxoHC5lUJJxr1RCTD2fis VMiZpIyR4FeR2b/8xbpjN6g8PqVshykYGHQZnM4Gb56Kwx6j6Kfq5Z5DUxEWRr/edawdGbbmcFi5 GgeD90jJU3KsKgAhbqtH7xbSthIfdD7Dp898ZDrW1b2okgVWaEV4dY3+5VqlqR7RhGcgc6AIwg1K 3bpdn8R3CMnA6UvpPV9cKJHHoVyU9XPC07XXZ4/paKgrDvoxuLleMOkeqzeCQI89tk5RyNmZhoVn TXnznF54fSubi1dyKnSwcG4Nr3KyJd4uC0cUROCvtjfCU7/z0EScIesCkOv1obTrJXJfOfJuK/K2 ZKeatkwBViP0nBPsE4ywMWI8INEJNL5CjYovg2Wf0GF/9Qcr5Z4j48Fg4vwF3Oh8N5yK4O5CRrjY y3mVg4SuyPGSD4wQoiHeb8V24fkU2eTUGeJmoxlElt4LYuE+zfWslcu/PoVl0RqN7H3jUkMNq2TM TjfLzkErHj663d9MupaYnjGyghbbBrgq97kahvB+w55IgE9LJCZNrtL/vYclmNPtJvgOX1C91LM0 r8qIl7wKNw7tzuqGz7n/dhNHuuEprG2MRd7FwcNdjoO+mqricFGahIvnxtKaGhNtRZOSnhkGWgNl bnQrhk9YJgIo2ele3TcgKSVGeVJWMVl4MCzDgfaRD2i/aiUUfOS0aknzozIIDkLIghRw71gcCh6f e6nAuJSKHJzL/sS4dQqkliwBPCWWndX9znNrV6uSjI/XG8GFn99eUcKUpiJBcIyBDMBMHUgGh2j/ G+X3bqSM5nnib0fdjM5as/3NKo6+UzVTJdN9C6cUVpqN9Jr8VxVPhK7CJWue66+YgmalUXadSfoc z1d6Ji2DIlyj0pFL5Yk73Izgkb0TVzn+rWeg3s0cGOP9t+OQZ0EG5KMdSp6C6vUz2R/TrjewMGQ4 Kr9Iwckh2S/KimK0RpSI1z52b47LI2fkjjJMWqTaaF5ndn7wqHnrFK6CGQ/PvfICYxTfeA4AgWs7 czGZRWMs2OubcRasi3W0nlVCn/yTFVRKwm+ofJ+BlZjHpb3o5RNJUy5PV9q/BraGa0IB3wG82Ys4 en5uslxZXIt+oc5muzz9kkbSXlndHMYh//InZkIwKRAPTfgIplyBxSJg1w8Nfb+XzZYDCU6gEciS BSAwPBh5rKoXEWUND4sryyujHD75YPYCUj5/9IX5EOhvP7caDdmDQYL7KsCkJKwNdbgrUKWwdJwU jK5qyKmqjM++viKm/4yyrEIvv0HlYRiDcDUs1mhAaLSyfIBKqzIIvpd17HQnMgEMH6ZJ+AaCP+sl n4LttMq7xJS0Vi3ID3kFWURpRK7P3sb9ks16Jl9V1Bgtns7WcmLHHDj5Heut+osrigxE7yR64Zhs nB5TKK0ahTEMwf/sI5M/x59GQcSMvVH/aeaQMhy0zyAY0gSMhD/9W9nfM7uPk2c7cYB5Z41aApIl pJ85msUVMuXgBfZoKttqyKvc6WOjvColG4wLo1mCFdNqdA4spFHwXRSVJPvyGtWRVUmUM7x3671z 3qCQ7B1FKEmBpRekyyEjCcUNn0ehCh2lI1QvGV1pDh0m7pnc8kZ5S6ASvL+YIxCtOv1YD+fDWrlf GC2VwSCrrKcS46VZx8rI2xNy6f08s8i9bknd+FOaYTPC3dWNrVKvmQLULMNBN6qyvzaFZcS6KSil IPjfLM0Weo5BWVqX6OuVt893ytE3euXM5WxClZOKnq7NQfBPCeE8vBK5toN/9pUdcVhtjDJ9xZ9e WfP3uqpciKqRzeJOy4dZI9aN0LCMrHrF0mjAgiQ+bm2vpYRYv6ohmxfAsnGTHSYJSAJQja4Kbu33 wBRVo7yvvxxYFikmQBvLvm8swqOqWudnQgEhG4+QcHzQF6vcGHNv7/7ZFIj92D6b03b8W9HE+xHb 2SPCakIRtk1/F3oJf6uckTWV62DtKw4rhzEQ8WP1GJ0ONqACGzzyIwNGHqKtaiIVaZVwvlFZuaxV 1eMYFTqKCHp8KivIPseeUxjyjGQhqovbW8lBPjERfPDkRq6lQpVXRZFMqGe/q0IBvB7aIm0oFECF DqeYfR85TsbWEs/3wuvdqBDyfHwnzN+e7e1y75FMn5DPnB2QNMavneqWB+5IkkScXPiprJv2GjLo PCW7bqLsGWjhOO+VEpb3cj9RZAkm2rF8tvH0eKxRsLfOZDW4XksufkpQBDQ5kbLu+T0H4xasHc0k IqA4///2zuxJzvM676fX6X2ZHTtAEBtBYuUSiqQoLpKtksol27GUpOwr+yp/Qq5ylcvcpSqV3KQS VymxY1fkkiyJEi3REilugkQSpLAvg9kwe+97d+p3Tr+DBgSAAEj09JjfqZoiAfR0f/1973veszzn eao12wuwWvA9VcqtLvLhRUQnzNGfOlNW4HGnVZX/8OepjXNYtSabqinBbX5pdqCTLcno6LB85dCw bvS3PliTVicHCa1ubB4gN5h6BaBEUkWcF/9GbQVjJut/v7aqWnCcABQncWZa/OxxWo5V8VbWBJWa mqvLLz7Iaa2KFIhNArEZYDkW7PGDUdm/a0jfl4dBBAbKGLFP2CLYJHQQHW86sus4PbomGgF2T+/P UlsioiBaM4kp20xK8Jftec3uIfn4skUv+3YYxQjmaIPvpCf4eZuJtxrBHXgtNh3XpHW7bhGY78L1 neummJZyGJcWKZBxfBuvGAVbNiXPis4nUYDK3F+0GUS+nHI0wYJKBBSFmiWsz5JrQbFFGQq66TiG o+c9wPihmcj9pG5D2YGiPJvSGRts95YhabVtsoJaGwcGn8MIEXWdn/96Wa4vNuS1U3nlvyJCowTQ aHeUqwpnw3vTOVZu+wnbrL1Ffb4fnV7EU5zkWb1J/YoOncj5KQj37FBKxyE6bGgHkubFSr4jf/py Wg81nJ8b2WHQnCaJdm91VMjmD89cNQQ6KRyOS6W/xkxslb9XQHPRDhN0DpkRpUzxnVezMpkNyPtn K9rlpv766pNJ/V5kHTg/ojfk60g5Xzwe76bQjXWON7IEvjfRHQ6NwwoUvHbcy8wb+7TovneiLKlE zwLvt8Oq1q3bkU5GpdKKSdPfkUw6oW1ZbuLJQ2nJl8G0FNQxIaBJ54x/4/T8iz/MahGbm3X1ug2P al0h6FMdQIjfqB38x7+cUA6rXiZTTnpqQCzEXhwPJzFASePxgQIHFWCqpnZC/vGLGXn16cT6CQ9F js0XwvMkmrvz8BGlYJFwovJ7nE5aWwoalYY1GG6mIiY6c7WXTzM2yPlpRlkYGbj9a9iQhObMpZHG UWDGWCicfK7ryX8fEDh+z+Z4p1j4KNlwE3DsRCvQVju+dByww7+x4JVDHUCxMipYyslzoa2O88Kp kU7RaXzzg5Jc6UrRqwJ6SRSHxMltAhoBvQcKL1htapmB58zhxfAvnV4iY5wEbBcUeUmllvKGJFdR kK7Dp1NKesm6JHJBYuyZw3Fde9SplnIUzGGX4OEY7qhBLRT0d8W60w7Wcuocgichba64xolbo6TM TAKEAh0di3nqYFRn9pj2eOF4XJ0JuLSrKjtv84GaEqYjWi/FKVFD4l7CMvrisYS8+zsYeIkm66bt WDIefSK/TleqnvdijfP3rBWl/YHdA0WmNPAeG/354HxZ6ZmI0Ph9HB2pMc0C8IgcHuwDuvc0TXiG ZCJEn9CQ47SVH69l4FJGbwhM3JohtUdNOxZuyGikIDu3JI1r7jYn7UN3WKt5m2vaNhGTq4sgsqGM sfY+JxxflM4am4qbRducm//jt3Mq93XmqnGBE5oe3BnQB0Jnj98De0TEQ+j6xm9KXXoWG4VhAfOw SCsZIiZlU5aILtuCK6rSeTE0sXTpZo2v6eK1uo4CsYB3TPBgbeECUMXpILmOOABdLEJjFjYnDptG Cde0i2fphgLzupgh0l6u7dNkujA2LpP7Wli/DduoMxwyJy+RAJGjRlfU55r8mOMjWnP1sodh3BNO Z54VG4ET1aSz7HmAdp5fttOW05h7T42IFI5OFchzHZxWwjmmAkR2TNozQ+kHqAPvS9pO5w2oBe/v ME0cOAVoatomzkqjAC1CiOuIjHEmPGsiMByXpm/dsRKug98n8CFVxHmqgMK1mjqepw/HNVoAFHr6 0rJG/0QKzCPu22onkKZgbSKmLgvJGmhuv74HTpToi/XJ/WGDku7xhcEUIm7K6qDQfXhvVLaP0/rn IK1pQZ21jlPpdEjNGb0JyE/fL6gTI90mWiJ1ffFEQtcA3x0SPTp90N1QRyOqVHLHbsedvUM6+OGF st5HLWN0LFpyqHbWLt/pB28VNKKDNubZZxLywjECjoDeD9JdXsP9YO2BjyRA4fqp9RpBoBES8t1x 3lYu8esIHZ/rMpFMPCs/+9Wq/OLUkvzhCzDRGgd/3xyW5va1oOyaEGlUVuX1Xy1LKpWUZjOrG5aT AiPkL1cMMUuUUqnU5d047JRIKDXkladTejJxw/HW9d0RVVom6gEzwuI3Xm0bl+FmMqv137+3rHm+ QgiyIR354MTtHTZm8TDuAGp36jqpSk3+83cX9WajDq2CDB2ffHCBgjCDr6RqEZ17pCiqc2N1TtuW YokA7/Ea0kSQwv6rtXXGBRYGkQOnFDUxnhIFyzvV3lxax4l+J2fFa0DZswjZFA5HxGfx/ioj5bPi 98M0ojflsM8k1MEaZbVfh3FpcLz5YVE3DrAOIi7qmvDeW62JjqhhehDSxHk44Vl49XHybEgOn8U1 nwqBkLKZeInImx+VdYNRwC8DcK1D7eGTbK2tgh9sHpw60BD0KFk3dO1wQoxhUbNB8CRXbumhg4PE SRjrguk0cqjhUC5/WNNDjJm8fLEu/k5DriyI7JyMyDeeS2oa+aNf5ZVT7dnH47r2cE6OUZTv4air eX++5wtHY1q4RxNgah7loaY8vjcqQ0NGN8194PnXGh3VK6BbjGPlvXD4phpFEbuh648AgbSQhgTO mfdgfZD+UR5RiE+5rfVA1i9OGcfIQcH3pXhuZJR+xUJyLyikczhQIjHmD+v8kfo/81hM/uGXDeU5 43uTLgNLYn+TSvPc2aOsT66NPQkZwt6tQ1o7I+2kU4x+wrEn9sj56SWJvXNBnj2+UzLp5M201g9z ETuE+JcONuX4/pDEohE5faWpg6SlStxa0+TAyxVZy5V0tmltrSpRf16+dqIuV677JZnJysHdUW3n MkYA1UelWpdUtKmnJ3QhLz+ZVDUTHgrv2Wi1bQyEIv7OiHbVvjed14cASLVX9YyTluI7DpBuX7kC VsrAfzyA77yakS8fi8u3X01rB4yTlyI8D5MaAZsSQVVUoAmvicJYAHRPjuyNyp+9nFYpKXJ6naZv 2MwYJxGOBrbIWwegnRnHONSyFJFt4v52r4HPic4bc368lkVJNMKpT+2tX+ak1xx4F4sFGD0R+eZz aa1Z3XjtzSmqw9mxCXEiRKhg3DS96G4Witjcb+4fh9LJQzF1VL89V9UUk/vLeuO581lKeRzxa7dX kepdemueD0O4Ti3c/RDdMQROZ5JngzNl6L5+vqOFdupfbDgOA6UaVk3DpvgkKNfma/LXP2wqFo2o 5tw1RDVE5habMjVX124e0SJr5Oo8RWfogBt6MO6ahBjPL03VFDPdA8oNOBpD7BuurNUSeeNU0WS0 yla35bu8c7qs65rPJNJ+fI9JmgHenF6wBgSTCDhqMhmiHKJaUkYiYa6BLjdO2TEwAFIlbSR1I7r7 5nMpBUEDzaDex8GIAwKWBECXyNmVOuBmP9KtCRpkyLqpzAJzgNA9tykP0cH3l04k9LNgZ4E88M+/ sVu++4Oz4utclZe+tF8iqIP0w2Fx8d96HhAes2ZM8Ydl/9aqXJhdkSszLNiEzC5UZO76ioymatKu R6RQGBLpNJX4b8cooyfzMnUNOfCaTGaheSUqCsihbRGJ+Uvyd//clGvzBqrcNWFzYv/175flx+8U tDahWJOYX546HNNJfU5vwIE67lI2XiNCcjbB1hEjSENyiDYxWBZOEcBunBBEWE76nY1JPq68UYqw NugFJ2eJU74oMpsr6unMtZEOUDvBibxwNK4LkUVLunAnI0qhU0iE4IaQb2csDDYfHSFSbWodQAwK RWsWDIL1KiPdyTgA6MxB8AdamoaIgw2guE2KhFPWURsRLSaTXr54Iq4KSfxbAQRqF8bzCUPsyw11 hjgLqHlX82CpulTWYZhIDbhMzYX1QJoFJxedNHQDcaBDO3ya+hAdttsVXTM857IW/v3yyHhFProS kJl8QGJ+v25sIh0wY9RmAGnmi00JZQLy/BN0zHlGDemMIOXuk/d+h0qQ0R3jaDj0FFkeslE1htnP T1U1FXPiHX/92qq8cDShjnnivIFNSXGJdpgwIIP5f/+cU4dOFsIhYFJlIcVd4QBBxJOucd/TCaur cVBzuFLjVdm12br8l79d0vWHIwdHCCYMJ0gURUrKIWJK5iaQSmDgDiPeW+nAAbfO1XX/cR3//k8z +lmk+lwje0LhE4vInkVk985JWcyvyEquLJNhIkP/w3dY2uZMGb80lB9MuoO7OLAd0cXrcvb8qp6A +7a2bSK+3ZJKpaJRBRP20FhPDjMLWRe/zy9DQ2EZGmIUJ6yR1mOqs7co758vyn/6HxX58om03kii JU5CTqGVSkf2004W0TY7/z6aSeuC+fHbBVlcswX9B8+kunWOtrx9uqgLgJOEmgnpB0VXxmKoB7kQ 1XXgiKJefSqh4S3kgQ4/pQXODjzXNpzN+zx1KC7/5qsZXdSCs7rLHqZw7UY8Po1ry0U33DtTafEr Od1mMRwzToJumgItqX1163j8YCcPQmUc1FlHaoVEBb8+U9HvCf8W0cBP3i1qTYsTfI5xkVJLVuCT Dxp4mEkG9CBz8FDFcS5ReelkQlN8R5xIJELkwaHCs8NI7U5oJBhQRlU29z++nZeZ5ZAW4FORmkRa IqA/3ni3Io16QP7mJ4iaVOTbL2ckFrG6aSBosJS1km1mviPdVdYKzQL+H4fonAdiH9SliLpmuo0f Zf4YMhl71iRRpau1oWbE/WLcC72DvU/EdS6XehYBBPeINckh7ijJiSxx2HxnI3e0Ghb/jvDtX3x9 WOmRcaI4trEuBo79gjzXod3GqnG7rrjpgdLQCGjavbha0v1BJHtkX0QPFDIkGm2vvVsw6AcBQWBI juxLybX5umTTqAjZ8PnDR7rrNzBqjlgMIB9jDVWJRhpdaSVm9YAe0KGxaMAI/9zAqVF7RKMRiUaj kkxCYEbdg0J3Q7ZN1uXM1KqEOkV57+OOvHQyq79HxEGtZKeeJKgdA9Kryw/fRI4JUF1ASQK50Thv 47Y2bux602abWGCc7orWBxpxhzYbm4iaAh0xhjq1E9bFMBEOs3lod1MjAFDJ+94L1IAFojxO91F/ YvFSJ7MaWh/wDJ/RSLERc+DeUCSny+ScFdZ7n9hM1BrBTDHA/Mapkm5UUhan5uI07YgsqSkRPf3j W3lZqRjpfTJsIE6cAXLzTz0GHAZCQ5OCI1olWuZ5KqFc2Aaa6ZJRFyXq4s/UZri41bLIapWsALaL jsQCxvs2mmrJlmxFksGO/N3rFZlZDsoTj8bl2H5zOsBfaARR59F0H95zP7Cfmvz8N0V1XOhyMhVB 6kUncaZLsUzU/5UTcZ2uePqxqNaiXnkyqc6Ya8fJnr1W09SLYjtIfurErk7FvcKps0eI8p3eIYco e0bVmivwZjU0NXzyUNSG8kPWQHHPhOfhCAFUgLdbBnCGcyQK5hAigiSVpRlxbgrAqBXjdYbwYkWb BMBA/uzljH62yv3lynp4NZvJdW3Avh3B6ADitDKZjP7kcjkplRjw9SkraSKR0P9Wq1X9N16PU+Lv +C+OiijMoWBNT84vsVhcrs7NaQoUDi5LsxZQtZ5Xv5qVR7YG5PT5vFxfKsnWETpz1umbX12Wc9PI s3fk/FRQfH5r+xsSF2qUqnx4Iaz0L0Rqxo7Q1loKDoG8nUdDCkFaqGo3qq5j8IZbGV45XcDKKC7K IbI/xRxlDKH5/Tge+wyrI20Go6OVThpa3zUM7nbl3GeK0NT+2GCMiPBs2IhsCMZScAbgtoiS3ztT lm+/wiFmEwMqtns0ro6M1jzdXorW1IeINLh3bDKc0sXpoIIZg92Dh+ujMPzeJyWNCLeNG10xawQm V4jy5rvteoaEKwsIczTkxaMtSUabEvAFZdtoUmtvRBLK9sr37fnC1N9wSvwdzobiOWUD5QqbCKsj fft0SaPCjlQUBsQ6pE7Hwcj34/6AiHfKUfzOcp4OYEs7dKoaHbMhdhwljSwcFhETn8flIHJCxoDD co7o1uYQ13isC6im4QTYuncKhUPBSPmQdTPZMhwVdNhOE4BDQnU/pwCr+vXzGduiU5vODEupsiq/ /XhOnjy6U6JoO0ofjWI7P+l0WsbGxtRJESURQRFdOfoO0j4XbfFf55xubXHy5+FMQv7dN3bJ9vE5 OX2xKLFQVZ58tCWhVk3KOZ+ceDQik89OSDZjpwQPDEDc3EJRPrmwIqfOV+TUhYB8crmruqKtY6Pn +ORyRU/DhVWfpq5sKq0rFRkZatvowj2IUqjvuM9oh5OLzp7jer9XY5FoUbZkWoV3MuXfAhughdJ7 mxL4vM0gBSae4FDg92IscOovRCGPbreogs0FDAWnRG2FB4kjIa2jWA/imtEncHvUUcBh7dsZ0boj nwv63vGi051rrnW0ME2tSvUrlX8eBgpGg0Lasbw0E1DgLs6PNJXvgIPjGYABo9CNAs/Z6Yp863lA sA2ZuZ6X38UNfOrMxr7soTASg2O0ZhBTHjYmw62pNdpyZdZmEHHQjAwRLfHvRCjKpaZc7rZ3eL7U hiiqoyaNQ8YxKw88oqZd9lSiGJoL1GIpuiejYAltZvLTHskWqLqjfq0f4mDp8vNcbPTKRpXOc9Cv GesrDSZqZKZYVdNRISJD7unx/TEtCwB5sMHstnzz2bQUCqX1Gm5fHRZRU7FY1NSQH5yRi7z44f9x Wo4s7U7gsV4LBgPy6M6sjGaj8pU104mTjoWufHEGVCG153XuPTMpaGwismdbXI4fKsiXLlflJ+/X 5bX3qrJUBhYR0s3OomLBs8iJAixNCMsEFCZdAYYHBWTiODl1aK0/8QgisL8/luPUsu/HHMWM8Wjd YLToNa6dcP27r63KpdmGjoH81R+NqHPul+OiHED9SSMI1dG7v9/na9HbgMUUJ0FkQWqBg5lZNE5y nAARC5uZv6fmQ1qEQyD6As8HFIBog42scimwUijxnNEQq/4jkU8FPUzGyKrqWIhcqFviWDggcAo0 Cf7t1zJ6sNERY5CbgycVjUi5XpE90bbMLRdlZoFRF4vOMB8TGU1zsGemDFbhngMd6WoXNpMrMnRs NNI/ejuvDonvxhp070X0X693NOKBPicSNqgPDoHDFqdFZMPzdxTb7BNGcdaJBboZwr1E9qxbHBQA URpXdOShC+ce0oWks8rn0nBSNlswbjUbLyL91bprW7SxwPNYzpvYCY7zxWNRuTR1Vf7V0a26j/Wa pM+GCglpn0v1XO0KZ2Xp0o2bdK+bFWc0kolJNhXVrom+j71DN+e++T35I6wRI9mApJJR2TZRk61j Odk5WlFkfrVlyrp/8/qqdgaxXVtCxj3d5Qe6X3PAOcJxxeUMR5vyAAAcvUlEQVQ46ayWna7dgFKN f6O7yEN2KjW9psPgy7SlbcbOXRvG4qOeMLNo2CWYFW69XP7I++rA8cc2e4bjpHX9tWdSNvsoD9co tpK+0bW6L/GObpqD4+F+mhKMATUjIb+c2BfVw4WUGmcNDuwHbxY0CuD1NupkKTfdQOphvAEbn8MM 57lzHLYCI+iDjw0nQTeRRg2NHJhQuVekkrTp2Zwvn0xqAZzIC6K+2BBiDiYCQt2NEbRKoyyPbmvI YrEq4WBSu9KmpWizfDjJYwhK4EyXm7KwZiIodPm49l2TYa3xkf4RJQLkPPBSRhaWGwpr4bnzPkQ1 fB/+i8Mk+uEg55nzrFVDsmzzqEQ8REWfpYLA/WfNsF45FMBm4bQTsYgeBtS4qDkq2LZb++L1QG80 pW+0dKifwwPaaL7Hyf1h+c3pS5JNhWVsJKFqSBvisIikcFqO0N++8P1HEreaiQjc33vgLCnwhjJB OXk4JDu3RKVcrsjsYk2+92ZF3v3YJ18+7lcQHxGPY1xwRs1AFW7vkhY6wQl4jOCFonAJAh8npWII ehq2FdGuhU0UTWJ+DZchV6s3onoqAnrkAfMaTlzSBRa41gfWDCyro0A+SxWUQXLZaHQJxXuvjw32 +ntF+el7RY1AcM4fnq8qat/mFh+u8RGkD6RqFJzvqQFRaOkmhOhQFb5rbd2kOBUAmhR2wUqhL0kn 100SkK511mXoDVDLqBdD+dwzomQ2NbQvfHMIB2m00EhRquK1lnKsM2hNisTGZ06Rmg+HF5ELxXgi IgC+NoZjYimUFnjuwCFGh6NShK3E35RKuSzLKwVlXC3WbJCYGg7RPJ1pHBjwDpon/D1ybjQGzk5V 9bAEusPncw+nF4qSK7SVyZTICmfBZAeitbxOGUC7GoY4e66Xz1AO+m5ETlT2WY1H6MSGeZ7KWBG2 kgljR/VCS8HSRNaky3w+6xmHfmB3RNPvp7psFkRiV+erGlTgoEEPuGxrQ/reQBJwWDd94X5M6N7B lF4khiABLWqI6AoyfnpR1X5xDHRy0HvjZOBUtppIQ1kWAaZyIuAYHF2JqtpO1/V0BPvlKDYMrGdI 7sceiejCoW4C3Q3phAoadOlp6AzpxHuto12wtz4qr8/lucFV0hA+i/oKG5UZMP5da3Vtm85nofId +DuwYCwq/gxY1kmV8Ro2Gtg1lad6PKbf8X66k/dibBiiFQZzHePm3ZoDOHPqLaQKKoAxa8wdbs6U 0SjAjo4jixk9OmM4NlSRlX0hbKKhqv6sUl4238nGgvKEWovOuem4FBggY8fgeXDYgEVi0xAhPLLF NCtJ0+gm8l6Mil2E7UMVxkXrceem6hr9bBkNKyMoz/vkwbimfpevNaTt88m56ZbkKnVFyPPMSDmJ Tn52qqjFadYP3wlOfb7zSNrYcTnjcXBnIzWlnyZSBN9EvQwqKTRN3Lpwzx9nahFQWI7vM7VwnB1D 8zhsx8L6eRj3hLog1wg1D/AL7jGpIaBa1jM1ZBTNAYOvFtoaQULBhEPjmXEgX5xpyHNPbBN/uyD5 fE6zKJVgkw1yWPzcS42qn+bob7PpuOzbvihvfFCR2SULRUEvExGxCIzD3DbO1PXCetRCR4/wmiIo RUUI6Tg1aY/jbHiAYxnUdhv6YBg3Uq50HWI2+mZOdUd97OoYPGgWmNHPhmQyBR2KYYZIg5Ixm92i JsYG54RiTAklGjaWyo0XW/KdV7KaArB4mK9jU4Fl+l8/WtEayNyijXawUXCaRCWMcfBvt/oVVR5u WvHXIZzXGVNvY3TywAPBhcTr4AnvhS+QypCWGhDXBqgVuV9t6YZnHIVIBUfOv+PkSa0dgwLXp+ys AVGcFC1/rpEolE17+BETTnBOxkW0yv/e7GiXj3Rduf1D/ps6kmNZ+3+9XorVXcS8yr9TANeunpH8 WZesox1mojSYNPku0WBdFpfyCuN5Ym9SedRX8xXptFqSjUfk0K6O4DdI96ZmyrKy1hVG8XGPOlKr Uj4JSksHsltybbUlzYZIpeKTgFRlNCFyVKmJQ/Lo1o40akUplaxkUK/7ZanSlr2T1p1MR5uya6wp kUBbRjItKZdL6wGEkzujRMOP2xf83c1woxt1ZiLAxa4WImM32aRf5hYhCYBh2CdLqw3ZMuyXfKGi z4BntmucQfeOBIQBd4twpV2TQqWjuLO9Ww0qBGfe9esL2qBTlIBsgLmu3yAa1xaLhuTo/qwc/Xha /umjslycjmqaBZpXB4pbouBSTkJm3wjX2ZCE/yCT2TSE5k7xhpSCdAEsDOkXC5GxIh6sskrusw6m 1nJCEKTdfE1sFE5MIijqIrS5nQNJxIxQjahreoEpfEs7tdNSbCklLi1uHML338zJtnOA/GDKhAHS NABJIVT5JuLXCIEmAJuXDUgtjUYDUcrNKXdHsUg4QzYuUQLO8HbnD+senitGLx7dAXzBNr8WzruU Jo5PCudj0vYtTYFA7QNTwJk7hk4jnzNuK9dhIjri+rgOKpirxaYyDRw/ENOUh0IwJzfzi0TMjt9f B7MbJl7B73MAOCaNW5lt3fA8eCEOC6X9Dvj0oOrli+faOCjo8j66PSjFQlEayNCH4DSLymiGumhH FiIdGQrWpVH3Kep+33aRRCQoO8aiqnhD1DcUtJobn5tKUMxuSadtWDv2ULHql2YD6IFhx9IJE1i1 11hKVm8GpFRtyuQwDpDoB+BpW3ZP0hVtKWGfCyB4Tycey49zYPxQyuE1CuyORNbLO+Cm6hWReg2B mboMJ5hvbUmrHpJwJCi7x1uqHk2E204EZWvWJ9VS2ZhmO9ADhSQgdVleNl77oLRl51hK8rnc+nWU y+X+R1gqqBiPSyqV0khmkKKrXiP83LU9K3/ySlPqnZycnSrq5iUiUZXleQvBSRPAZmWS1hLnBzwY YyXMtpG2MENG0REcFqExjopIjf9ndpLuiEUGd74Xxp/d1vEQV6vqNRVF9Xe1FqntLDc0UjNIhskr cf0wB5heHoOzFGIDmlYB1oN3jPe1kYyIbjbqRKQb9ns2POvoe/TZMXBL4bvZ+b06Wa/hiPg8nB4/ vUZ8SX2QdJlFnmkE1q8XJ0RERrrFnymQE1lp7TDQlYhCmbralicPWkPERUU4lNMXapbODYE7MrCp URvfzJbqaK+JxJRVtes8cab84CS1QdKmGF5X9PWzR2LayeIHbqdeXv1IKCjNekVWSzXJxtqSjQLV gbo4rVLuLg2Ox2O23gLWJY3FOgrTObCH0oA5rE4bgkCiEZgviHLszw7Th5CDiRR3P3vI1sfNtUgD iipAOshnmdPprR27aMoFE/zZvYeDFLFn9Zl1YUiuq891jw77ZfsWa/kRRbIOeQ3XE/RDH+RUguw5 mYO0cgwOkvfi/YeiHZkcB0YUlnrdWFFjsag6xkKh0F+HxRfAWTm0+qAaD4cbduzQmBRLVVn4YV1r WD94Ky8Xp6uyvIYIKoO1gfVakeFfrFXtONrZiERhqjsXZ1TGGCN4UGxCUhPYM3UR3eV6qHtRjPw0 GmSiE15HJGBkhj5laiUF5fNgvcQZGeWHTcnT2TLy/5iCONmwmlYGLeIi4rgwbWrXYHqIothI1E50 Jo+6RN2Ucm5nOBNSQdIFHC7pNJEI14BThO+diIYoi88jMqHe52vAaGnOSwd2yzbeQZ1KnUk30gWN TQeNe07HkQMFICW/y+/g2PgdjNrVrR1Jnt/yWkOuzpYkV6jJfMInyTh4QOSrTHux3miq4wATNbdY kXKlLo1qTdLZmAwFQ1IsVNe73OHwkDSbDU2f/H4YSoc0GmFj37rm7yxmtfmt0/WXnyUm4b45Aw61 tLTU/5TwTiDQQTNdfCE0AE355+J8U/7v62uKADaMDwo7OALDoVA/Iu1SChGGj3VEpq1pICkXPEw4 LG0hd4UTSBM/rZ3MhidKwqEoZcxdjI1P2kiHDGwLr//tOXNytPq/9eW0DgsTUSDEQToH4PHrzyZ1 ZhJH5fjGKfByEnKWE6WAmQKPxjoEx0Q0BMCQ+tr0Yk1rX9Du8N6kc6RL/D5gTjpCAD1xPkRSOFLe Mx0wgKVypE+GNIKjxoLzougM3TIF3KEwXOMhBU4SKXC/if5IHzgoeM/lfEGdNNHsaDaokAGkt+60 zAgoGNWaXypLsVyTdqMu0WBDINpq1YMSjgzp5ug0ahLotHV43x8PSjZOgZ+DKaSRuIPmuGjErW/G yNhwRA2DfDg/LPu8tze4TZ/P31+H5aS++e/diOYHq541JOlYSZVpqA/tmIjKUs4KrGw8HJTymQPc 69yg92UTsohJldjIpImaut1H541oB0dBKnSv7X8j7bPiMg6RzyWqIoqi1oYjwpEyzA0eh0iHqIyp fLqeOEdSSd4DB+aUs/khkmSoVpWcu3xV/D26c6ZlKCrW+d4nAHhNWJTPo+MImpq07PIMogwGui1U TI8vFTN6YyIsPg9wJngm4k7ljSoicMBMJfqSNg9HTZG6EWkwTQbSdBoFegB0yf1wmjQrmOMkTcEh cl9MMaYm5VJZisWyxCMij2yJSiKR7qodW8qj0mYjAQHQgoJxNAqFjdXyeg9dnFNvCuZSrUE/lDeT cb8Z6eur1+Chkru6fHnQDbDa1om0vHCkKNX2kMwtm35avmwEZbTnG90ah3avVJ4JNgi/tpZxAsqw +IBfl4iE2g9FYpxXBOWtu+wBnAfYKxwPDgU4BA6Da6EQD/qaCIjIBEAkDAQU8Sme4yR4LQ6LKMfE PeieVdcxPKS7UO9cm0durKXdOJWCr7UlGbXCOdEPHTqK9qR+1P2YAOL96ZrRvSTKA3um90+xQdbp 0+/Q6igXFWR2vBddSiI10kdXt4F8LhltyzA9/LjNn5kEu6WaFOdbbeOqujRdkpkFBE870qxZnQlc EutwKFCVsYxIJpWQdDqljsdhA51lM/bfuzkfzzH1xyD/7HuY01vMG2RzzpWU7+i+pCSSYflv3y/J /EpbC4lEFyp4WTD2RVIT6irzRYZljSmTNAanQ9QFMpsNxe+wayjC9zKf3s6IEiiCk2796qOO8o/T 2r9TGum6eqivUHM7d7WmZGpgx5h+Z3QCDBE7n24m11dhrutMWeKOz7zL940TomZDFInzUrUealvJ gKq08D14v2sLzfWaFrUy5XVvUjSH4dOoT8B9kbYRFZECqlKNqrxU1/mZnBox95FoLFcAwBnWGTfS Z7BmgChxovw+r8XxKiNrgMF11L+ZwxNJR+F5r8p4si2ZSFDSu0SGk3TT6utd4Fg0Lp12RP9MTZX0 zXM8g20bAhzdTKGyw6L4xNIkxA7yZZDpLVlaNZR1uWqpAZEImJNSra1dQArFTMETlVCHIurAGKnh z9/4UkpTNUzdd5ezvZe7HWcBoRyb8//8dE2jCEZtwGjpiFC3FubMybeTBpFKcn2kP6DY00m/zqjR ceR96La9/VFJ00YiKCJEUkU+i+gI6AHkdER2OCKcBPUxPpdIic/m90h/qWfRYMiXTDOPWpLpL0Id UtVUUnnldwPOtY6YydpbdAaqH6dOB4/6GPfDkOrWtaOzuHsyrMV0uqVEXZA1Npukqy0tgseDcJAh mUWKHpD4OHp5fkkkQjq2ZaSL1qJ36Zz772ZZj571eTRHPSRy9ZugCOnauLaw10QaVY1ULs42dARC 58u6jApENkQwRCSc9jgOUyIRlTwC4gA8wNW3VK68eAPpTxQGRsVpuSnHeRcoidNRjFbQ12USbcry trA6BcZRSJvcfuOzifyIbHAQUCfjLIAsuLk2Ve1VoYGWihbgVBAiAI5BER4eKSI6IkCcNJgv0ixG QbgOqE2c9p1xb1m+iyOhsL9nW1ijJq4JWAKOhwiMuTsAtFwq0R/YKd6fz+Sa+J4OyU90y/cioqKB oQDZsP17tdaU5ZWygM9Uh9VoKWU2IMRt4wnJZhMSGaJeeP8zqZ4Nvg1+5XuDDec6Pj4uZ85PS7Vm OJ7FWkvTHIrImYRhn4iaiE4YN6CGQgrkUkWKvRTs2y2Uo2NaJyJiwIzz2oQALnSjL6IgOIF4Leh4 RmbY0AAD0XSDa55IBK55IiPFAXUJ7BgZ4j1fOBJXOuafvpvXNAkwKs6DNA5a23/9ckZhDjgdnC0O FNEC0lR+/8kuzIGxEx0QFmO8vDyLonVDHSfQCN4T5wJnlMmrmwahciNFbBSDyKvdRg8vr3Nh24dh P2BQtyOFijUXcNSM1JgYrEmU8XfwOF27DiGfQRtQDV9ZK0o0EJCx4YiMZaMSjaRUL4Cao+ec/mVb 34vu4CkobtKmxAY1JHcEgq4IGwpHZNtYSz64CEhUJF9pS1HBeIZ+Nn1C09XDcChAGIhOZpcbms5Q aOY1RD/8DqmUCX2a0vXf/zynuKifnyppynZprq4UuUpfuzeijgIQZzjQkZk6iOeGXJsPy4FdCAkQ fcDzVZbF5ZKko2GZXwBFXRMfPOSLVSkUQrJ3R0wioY7U64gjlPU69u0IyoVpRDxtoDYdH1qHUxDV Ke9S2G9KyAt1dW44aXBRYM+IoIAQcA1EoXQdD+6Gxpr5yZqs5aoSCXckFa5INGzOaAUHGUIDLywf XGhq3WtxpSq1ekuR+BNZY/ys1xryyfmWzgQCa0jFgnLymTEZG4mvc6V59sWxvkdYqpjTZRp13FeD 6KxA1rpCLBHH1FxFvv7suPzyoyU5N1s3oQPUbfMtGe7OAVK3Ua08xju6w7DAHki/LswYGZsTXSX1 ortlozyG2garxeAxij+ka0AS4HgiuiJC+8Vv8jKS6siTB0i52lIoVuTDsyK5/JAUCjF1KploRfaM l6VVK4ovOiR/8HRU4pGErOXpGDak2anI3i1NadXzUq+G5aOrNVkuBKRRa8r8Yk22j4Rl2yhqK3XZ syWk9aOzUzabx1gL10iNzn0PYwm1WUoK361WQ157Oy/1WkQCUpNSmd8LyZEDoxKLDmtJgGZGvd6Q mfmcvP/JghzeGZflPO9Fo4FIFGoUkVqV6NEviTSg2IAk4lHt6MXjUc9RfUFtQ7qERFmYoz0etFPS XY8bX+Cac4WSPLY/IH/85ZRGOTgYtVpbVmpOkUJkPB1UnUOjezWaE+TBcGY7x4e09nV+oaGIceAG FKkZaiZKee5ITGcAv/PVjBx+JKoFdKhOQNf/7Ndrsm9rXY7t7cjTj8dk+0RKi9Mra2VZWgOzhOBm XJ49OizPHx+RUIixCGNwdUOqFKXX8lU5cbAk5XJNRrMhObQnJuILyYdnl+TMlYKsrKFq7JOjB0Yk FQ8r44QJZdYkGe1ohLRjLKzXRRSI42q1YL2sytnLa3J9rSyHt4fk0A4AqkOSTGQlqkjvG7VLnjn1 wUd2hWUkG5Ol1aIcDg+pyAiIVwC7sRi/H7opzRu0deLZF6SGxWJlRIfUcJAL7gpr6M45jaZD8rN3 pmUlF5WgvyXih164u4FUYJGCF5qGBlega/a3/7QmP347rwVzwJOkiIFASBkyiZwoIn//lznZOmZy UBTLqSfRQSMaCgXQ6avKR+dzUqsU5E9eTMrxQ6OSTkXXN//IcFr23eN3ohg9ORaWidHk+t852zaR kq88DXi0qmnlh2dXJRCKypX5psxcr8r20YZ0Gk2JhUMS8gXk0hX4mhriD4QkEglLNt6Wl44HJZve KskkSt7hu6ZsykU2NCSjIyHJZpLrr/Wckmd3sw2BNbiRhUE2N3KB0yoWC/LsyT2ykq/I8JmCfHyu Kpfm/apqXW8YAZxyxbd8Mr8ETYlN7ueKdAQ7WpwvV2A3aOqIypXZmjIX/M8fruogKoV10sUrs1X5 h1/kpFipSywMdqgla6urcuxAXJ4/MiYTY2kZCn/2iPR2v893jcci9hMJyDunp+T8TEHl4h/fWVdc 2baJYevAoQuozQKoTijyM7oSXR9DuZ/rc6939CZeXcqzgXNYmwXagN1IYwKyZSwtk6MplWdCwCJX 6kilEZLL0wX5+FJF5lb8Um4w1hKUlRKUL1bjAV+9sFqXmSUjASSSouZzaYaumMjVWZFTv2vqXFtu LS/ZWFOeOTwhu7YmJBYZlmQy3tdRJiTV9mwJSkDKsncn9acJGckmHtozc2uCtNU1O7xIy7OBcFi9 NZXNsCjZPMPDw9osgIueNGbvrnHZt2dynRuoVKrI3MKKXJnOycKayPSiKQmv5YE2+CQQHJKrCz5Z yvllJBmWVLQtW7K09isyHC3J49sTsnfLsBzc1pFUYlwmxkfWI9CNuEc0Qr72wr6bnEc/rqOX6sRz Wp7dzjaE0315eVkL79lsVvmxBt1wsg6GgTI13wHH5SLFVCohiURM9u7eqq180shKxYaEeR1iANdm V2V+sSChIKq/TaUeGU3FZN+urTI6mvlc+e0/z5S436ZDx60bHN6eebbhKaFjbMAJUHjfLOkh10v9 jWjLje04R+M2uKVuQ+vkbLQOoWhJJ2NycC+kZfxOSMVbbbTGS38882xgR3McmRmRClEWEchmiLKc 3XBKd09dbpIWE5/4Q0Ft7XuRw92H4t3PrawJnnm2IREW2Ct+HM3MoHcLb2cO6vAgNDlemvP7xlro 5ZAalLTYs8Gzvo/mgHJ3qdVmNTf176IBb3M9uDmhA6/I7tlARlioX+C0SAs3e9jvCsReRPBg1pv+ eU7fs4F0WA5rsxlI/O6n7uJtuAe7f95982xgHZZBAEw1Z7NHVzgpup2u8O7Z/Zub0/TMs3u1vst8 AWNwqrGb1Rx9susYeg7LM8/6YxuimtOLX9oM1ttudwq5/ADJ8JzVZ7PNfHB59i/cYeGoGG9h0w8S D9bt6mpufMj9nSsOOwflFdo/n/vumWcDXXQfxPa1c1jOSTlckOPqctfr0OyDdv2b1W6VS/fMs4FD ursZvEGwXvDn7RR8vXb7wzXut3sGXmrt2cDCGgYlFXARFdZLIOdtnv6Yu8+9Ea4XbXk2UEh3algM D/fWgzbKnHO6dZDZs/6Zd/89G3hdwkE6RXv52z3bOKflGEc982xgHBbOKpFI6CzhoDgtz1F55tnm sb45LBwUoFGnpjwIxqneO3zr2caYN6Lj2cA5LHBXjOQMCp2MA7E6tPqgONEvmhHh8iy8jqxnA+Ww nBbdoEQyjoZ3UBzoF9W8zqBn92rs1+AXEc5wa0vdi6421nqnCrxn4dndgoy+OaxBgDHc7mT34Awb bzgqb4LAs08z4FB9TQkHzWFhvVp4nnnm2eBa3yIsnANF90FxCr3jN16HcOPNjUR5KaFndzPgUMF+ esdBIGtzqHZvVnCwHJbr2Hrm2Z0MLc9gvwvcG2k4Khwn1+ON4QyWbSY1cM/6b6yNQqHQH4eF7iBy 7xsJIXAph+esBns8x2GyvGjLs1vVtmZnZx++w+LExGFtZETjCuuOpM91Br1NMTjWS+8DH5n7uwe1 XnbY232WB1TdPIbo8trammzfvu3hOyz0BxnJ2UiH5epVTkuQeoljPfVSkM0PJHVo+d4a6d0G7Xmd c4rewTX4Nj8/L+Pj4/0puuOwBqVe5Bb2ILJGePZgLKS9BID3SgzZG805lggv2h48q9frsrCwoM8V P6LPuF8jMINgvfzsiukYEOZTz26Yc1SuOdLrWHp59XudzYOmdy7ydqUC7wDbeCP7WV5eVmfF/gyF wpLNZtaDnmA/lJ4HjevISwMG21zqjiNhAfdK2d/KsPFZZxHd77oozXNaG4tkn56eVhp1UkCXBfVm aA/dYQ3SIrh1cXo2uOYcUq9KEda7eD+vdeWNBm28uYiZ5z06OqpO63bP96E7rEFiaHDeupdDfFCu zbPft9st2EE5/Dz7fI0UcGVlRTKZzB2dVd8irEGy3ijLM888kw23XpHiT6tH/n+oenGju5Q5DwAA AABJRU5ErkJggg==