20250814 15410800 1.0 FALSE TMS_AADT_2020_FEB5_ExportFeatures 002 file://\\unity-nas\TP_Mapping\Analytics\AADT for dashboard\Projects\AADT.gdb Local Area Network Geographic Longitude / Latitude (WGS 84) Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>GEOGCS[&quot;Longitude / Latitude (WGS 84)&quot;,DATUM[&quot;WGS 84&quot;,SPHEROID[&quot;WGS 84&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude></GeographicCoordinateSystem> ExportFeatures TMS.SS_SEGMENT "C:\Users\barscb1\OneDrive - Missouri Department of Transportation\Documents\ArcGIS\Projects\AADT.gdb\TMS_AADT_2020" # NOT_USE_ALIAS "TRAVELWAY_ID "TRAVELWAY_ID" true true false 4 Long 0 9,First,#,TMS.SS_SEGMENT,TRAVELWAY_ID,-1,-1;YEAR "YEAR" true true false 2 Short 0 4,First,#,TMS.SS_SEGMENT,YEAR,-1,-1;TRF_INFO_SEG_ID "TRF_INFO_SEG_ID" true true false 4 Long 0 7,First,#,TMS.SS_SEGMENT,TRF_INFO_SEG_ID,-1,-1;TRF_INFO_SEG_DESC "TRF_INFO_SEG_DESC" true true false 25 Text 0 0,First,#,TMS.SS_SEGMENT,TRF_INFO_SEG_DESC,0,24;TRAVELWAY_DESG "TRAVELWAY_DESG" true true false 3 Text 0 0,First,#,TMS.SS_SEGMENT,TRAVELWAY_DESG,0,2;TRAVELWAY_NAME "TRAVELWAY_NAME" true true false 100 Text 0 0,First,#,TMS.SS_SEGMENT,TRAVELWAY_NAME,0,99;TRAVELWAY_DIR "TRAVELWAY_DIR" true true false 2 Text 0 0,First,#,TMS.SS_SEGMENT,TRAVELWAY_DIR,0,1;TRAVELWAY_OFST_DIR "TRAVELWAY_OFST_DIR" true true false 2 Text 0 0,First,#,TMS.SS_SEGMENT,TRAVELWAY_OFST_DIR,0,1;BEG_CONTINUOUS_LOG "BEG_CONTINUOUS_LOG" true true false 8 Double 5 8,First,#,TMS.SS_SEGMENT,BEG_CONTINUOUS_LOG,-1,-1;END_CONTINUOUS_LOG "END_CONTINUOUS_LOG" true true false 8 Double 5 8,First,#,TMS.SS_SEGMENT,END_CONTINUOUS_LOG,-1,-1;AADT "AADT" true true false 8 Double 3 9,First,#,TMS.SS_SEGMENT,AADT,-1,-1;SURFACE_TYPE "SURFACE_TYPE" true true false 10 Text 0 0,First,#,TMS.SS_SEGMENT,SURFACE_TYPE,0,9" # UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=C:\Users\barscb1\OneDrive - Missouri Department of Transportation\Documents\ArcGIS\Projects\AADT.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>TMS_AADT_2020</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>newbeg</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>Travel_Name_ID</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField TMS_AADT_2020 newbeg round(!BEG_CONTINUOUS_LOG!,3) Python # Text NO_ENFORCE_DOMAINS CalculateField TMS_AADT_2020 Travel_Name_ID "'!TRAVELWAY_ID!' + " (" + !newbeg! + ")"" Python # Text NO_ENFORCE_DOMAINS ExportFeatures TMS_AADT_2020 "C:\Users\barscb1\OneDrive - Missouri Department of Transportation\Documents\ArcGIS\Projects\AADT.gdb\TMS_NEWAADT_2020_sept" # NOT_USE_ALIAS "TRAVELWAY_ID "TRAVELWAY_ID" true true false 4 Long 0 0,First,#,TMS_AADT_2020,TMS_AADT_2020.TRAVELWAY_ID,-1,-1;YEAR "YEAR" true true false 2 Short 0 0,First,#,TMS_AADT_2020,TMS_AADT_2020.YEAR,-1,-1;TRF_INFO_SEG_ID "TRF_INFO_SEG_ID" true true false 4 Long 0 0,First,#,TMS_AADT_2020,TMS_AADT_2020.TRF_INFO_SEG_ID,-1,-1;TRF_INFO_SEG_DESC "TRF_INFO_SEG_DESC" true true false 25 Text 0 0,First,#,TMS_AADT_2020,TMS_AADT_2020.TRF_INFO_SEG_DESC,0,24;TRAVELWAY_DESG "TRAVELWAY_DESG" true true false 3 Text 0 0,First,#,TMS_AADT_2020,TMS_AADT_2020.TRAVELWAY_DESG,0,2;TRAVELWAY_NAME "TRAVELWAY_NAME" true true false 100 Text 0 0,First,#,TMS_AADT_2020,TMS_AADT_2020.TRAVELWAY_NAME,0,99;TRAVELWAY_DIR "TRAVELWAY_DIR" true true false 2 Text 0 0,First,#,TMS_AADT_2020,TMS_AADT_2020.TRAVELWAY_DIR,0,1;TRAVELWAY_OFST_DIR "TRAVELWAY_OFST_DIR" true true false 2 Text 0 0,First,#,TMS_AADT_2020,TMS_AADT_2020.TRAVELWAY_OFST_DIR,0,1;BEG_CONTINUOUS_LOG "BEG_CONTINUOUS_LOG" true true false 8 Double 0 0,First,#,TMS_AADT_2020,TMS_AADT_2020.BEG_CONTINUOUS_LOG,-1,-1;END_CONTINUOUS_LOG "END_CONTINUOUS_LOG" true true false 8 Double 0 0,First,#,TMS_AADT_2020,TMS_AADT_2020.END_CONTINUOUS_LOG,-1,-1;AADT "AADT" true true false 8 Double 0 0,First,#,TMS_AADT_2020,TMS_AADT_2020.AADT,-1,-1;SURFACE_TYPE "SURFACE_TYPE" true true false 10 Text 0 0,First,#,TMS_AADT_2020,TMS_AADT_2020.SURFACE_TYPE,0,9;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,TMS_AADT_2020,TMS_AADT_2020.Shape_Length,-1,-1;newbeg "newbeg" true true false 255 Text 0 0,First,#,TMS_AADT_2020,TMS_AADT_2020.newbeg,0,254;Travel_Name_ID "Travel_Name_ID" true true false 255 Text 0 0,First,#,TMS_AADT_2020,TMS_AADT_2020.Travel_Name_ID,0,254;OBJECTID "OBJECTID" false true false 4 Long 0 9,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.OBJECTID,-1,-1;BEG_TRAVELWAY_ID "BEG_TRAVELWAY_ID" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.BEG_TRAVELWAY_ID,-1,-1;DESCRIPTION "DESCRIPTION" true true false 8000 Text 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.DESCRIPTION,0,7999;TRF_INFO_SEG_ID "TRF_INFO_SEG_ID" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.TRF_INFO_SEG_ID,-1,-1;COUNT_YEAR "COUNT_YEAR" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.COUNT_YEAR,-1,-1;AADT "AADT" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.AADT,-1,-1;AAWDT "AAWDT" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.AAWDT,-1,-1;MOTORCYCLE_VOLUME "MOTORCYCLE_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.MOTORCYCLE_VOLUME,-1,-1;PASSENGER_CAR_VOLUME "PASSENGER_CAR_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.PASSENGER_CAR_VOLUME,-1,-1;PU_PANEL_TRUCK_VOLUME "PU/PANEL_TRUCK_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.PU_PANEL_TRUCK_VOLUME,-1,-1;BUS_VOLUME "BUS_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.BUS_VOLUME,-1,-1;SINGLE_UNIT_TRUCK_VOLUME "SINGLE_UNIT_TRUCK_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.SINGLE_UNIT_TRUCK_VOLUME,-1,-1;COMB_SEMI_TRAILER_VOLUME "COMB_SEMI_TRAILER_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.COMB_SEMI_TRAILER_VOLUME,-1,-1;CAR_PANEL_TRUCK_VOLUME "CAR/PANEL_TRUCK_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.CAR_PANEL_TRUCK_VOLUME,-1,-1;TOTAL_COMMERCIAL_VOLUME "TOTAL_COMMERCIAL_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.TOTAL_COMMERCIAL_VOLUME,-1,-1;PERCENT_COMMERCIAL "PERCENT_COMMERCIAL" true true false 8 Double 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.PERCENT_COMMERCIAL,-1,-1;DIRECTIONAL_DISTRIBUTION "DIRECTIONAL_DISTRIBUTION" true true false 8 Double 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.DIRECTIONAL_DISTRIBUTION,-1,-1;PEAK_HOUR_COMMERCIAL_VOLUME "PEAK_HOUR_COMMERCIAL_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.PEAK_HOUR_COMMERCIAL_VOLUME,-1,-1;PEAK_HOUR_VOLUME_AM "PEAK_HOUR_VOLUME_AM" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.PEAK_HOUR_VOLUME_AM,-1,-1;PEAK_HOUR_VOLUME_PM "PEAK_HOUR_VOLUME_PM" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.PEAK_HOUR_VOLUME_PM,-1,-1;PERCENT_PEAK_HOUR "PERCENT_PEAK_HOUR" true true false 8 Double 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.PERCENT_PEAK_HOUR,-1,-1;OBJECT_ID "OBJECT_ID" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.OBJECT_ID,-1,-1;TRAVELWAY_ID "TRAVELWAY_ID" true true false 4 Long 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.TRAVELWAY_ID,-1,-1;BEGIN_LOG "BEGIN_LOG" true true false 8 Double 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.BEGIN_LOG,-1,-1;DIRECTION "DIRECTION" true true false 8000 Text 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.DIRECTION,0,7999;beglog_ID "beglog_ID" true true false 255 Text 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.beglog_ID,0,254;Travel_name_ID "Travel_name_ID" true true false 255 Text 0 0,First,#,TMS_AADT_2020,AADT_INFO_EXPORT_2020.Travel_name_ID,0,254" # DeleteIdentical TMS_NEWAADT_2020_septTEST Travel_Name_ID # 0 DeleteIdentical TMS_NEWAADT_2020_septTEST Travel_Name_ID # 0 ExportFeatures TMS_NEWAADT_2020_septTEST "Z:\Analytics\AADT for dashboard\Projects\AADT.gdb\TMS_AADT_2020_FEB5" # NOT_USE_ALIAS "TRAVELWAY_ID "TRAVELWAY_ID" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.TRAVELWAY_ID,-1,-1;YEAR "YEAR" true true false 2 Short 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.YEAR,-1,-1;TRF_INFO_SEG_ID "TRF_INFO_SEG_ID" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.TRF_INFO_SEG_ID,-1,-1;TRF_INFO_SEG_DESC "TRF_INFO_SEG_DESC" true true false 25 Text 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.TRF_INFO_SEG_DESC,0,24;TRAVELWAY_DESG "TRAVELWAY_DESG" true true false 3 Text 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.TRAVELWAY_DESG,0,2;TRAVELWAY_NAME "TRAVELWAY_NAME" true true false 100 Text 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.TRAVELWAY_NAME,0,99;TRAVELWAY_DIR "TRAVELWAY_DIR" true true false 2 Text 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.TRAVELWAY_DIR,0,1;TRAVELWAY_OFST_DIR "TRAVELWAY_OFST_DIR" true true false 2 Text 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.TRAVELWAY_OFST_DIR,0,1;BEG_CONTINUOUS_LOG "BEG_CONTINUOUS_LOG" true true false 8 Double 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.BEG_CONTINUOUS_LOG,-1,-1;END_CONTINUOUS_LOG "END_CONTINUOUS_LOG" true true false 8 Double 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.END_CONTINUOUS_LOG,-1,-1;AADT "AADT" true true false 8 Double 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.AADT,-1,-1;SURFACE_TYPE "SURFACE_TYPE" true true false 10 Text 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.SURFACE_TYPE,0,9;newbeg "newbeg" true true false 255 Text 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.newbeg,0,254;Travel_Name_ID "Travel_Name_ID" true true false 255 Text 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.Travel_Name_ID,0,254;OBJECTID_1 "OBJECTID" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.OBJECTID_1,-1,-1;BEG_TRAVELWAY_ID "BEG_TRAVELWAY_ID" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.BEG_TRAVELWAY_ID,-1,-1;DESCRIPTION "DESCRIPTION" true true false 8000 Text 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.DESCRIPTION,0,7999;TRF_INFO_SEG_ID_1 "TRF_INFO_SEG_ID" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.TRF_INFO_SEG_ID_1,-1,-1;COUNT_YEAR "COUNT_YEAR" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.COUNT_YEAR,-1,-1;AADT_1 "AADT" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.AADT_1,-1,-1;AAWDT "AAWDT" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.AAWDT,-1,-1;MOTORCYCLE_VOLUME "MOTORCYCLE_VOLUME" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.MOTORCYCLE_VOLUME,-1,-1;PASSENGER_CAR_VOLUME "PASSENGER_CAR_VOLUME" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.PASSENGER_CAR_VOLUME,-1,-1;PU_PANEL_TRUCK_VOLUME "PU/PANEL_TRUCK_VOLUME" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.PU_PANEL_TRUCK_VOLUME,-1,-1;BUS_VOLUME "BUS_VOLUME" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.BUS_VOLUME,-1,-1;SINGLE_UNIT_TRUCK_VOLUME "SINGLE_UNIT_TRUCK_VOLUME" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.SINGLE_UNIT_TRUCK_VOLUME,-1,-1;COMB_SEMI_TRAILER_VOLUME "COMB_SEMI_TRAILER_VOLUME" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.COMB_SEMI_TRAILER_VOLUME,-1,-1;CAR_PANEL_TRUCK_VOLUME "CAR/PANEL_TRUCK_VOLUME" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.CAR_PANEL_TRUCK_VOLUME,-1,-1;TOTAL_COMMERCIAL_VOLUME "TOTAL_COMMERCIAL_VOLUME" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.TOTAL_COMMERCIAL_VOLUME,-1,-1;PERCENT_COMMERCIAL "PERCENT_COMMERCIAL" true true false 8 Double 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.PERCENT_COMMERCIAL,-1,-1;DIRECTIONAL_DISTRIBUTION "DIRECTIONAL_DISTRIBUTION" true true false 8 Double 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.DIRECTIONAL_DISTRIBUTION,-1,-1;PEAK_HOUR_COMMERCIAL_VOLUME "PEAK_HOUR_COMMERCIAL_VOLUME" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.PEAK_HOUR_COMMERCIAL_VOLUME,-1,-1;PEAK_HOUR_VOLUME_AM "PEAK_HOUR_VOLUME_AM" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.PEAK_HOUR_VOLUME_AM,-1,-1;PEAK_HOUR_VOLUME_PM "PEAK_HOUR_VOLUME_PM" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.PEAK_HOUR_VOLUME_PM,-1,-1;PERCENT_PEAK_HOUR "PERCENT_PEAK_HOUR" true true false 8 Double 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.PERCENT_PEAK_HOUR,-1,-1;OBJECT_ID "OBJECT_ID" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.OBJECT_ID,-1,-1;TRAVELWAY_ID_1 "TRAVELWAY_ID" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.TRAVELWAY_ID_1,-1,-1;BEGIN_LOG "BEGIN_LOG" true true false 8 Double 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.BEGIN_LOG,-1,-1;DIRECTION "DIRECTION" true true false 8000 Text 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.DIRECTION,0,7999;beglog_ID "beglog_ID" true true false 255 Text 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.beglog_ID,0,254;Travel_name_ID_1 "Travel_name_ID" true true false 255 Text 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.Travel_name_ID_1,0,254;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,TMS_NEWAADT_2020_septTEST,TMS_NEWAADT_2020_sept.Shape_Length,-1,-1;OBJECTID "OBJECTID" false true false 4 Long 0 9,First,#,TMS_NEWAADT_2020_septTEST,AADTDATA_NEW_2020.OBJECTID,-1,-1;COUNT_YEAR "COUNT_YEAR" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,AADTDATA_NEW_2020.COUNT_YEAR,-1,-1;TRF_INFO_SEG_ID "TRF_INFO_SEG_ID" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,AADTDATA_NEW_2020.TRF_INFO_SEG_ID,-1,-1;TRAVELWAY_ID "TRAVELWAY_ID" true true false 4 Long 0 0,First,#,TMS_NEWAADT_2020_septTEST,AADTDATA_NEW_2020.TRAVELWAY_ID,-1,-1;BEG_DIVIDED_UNDIVIDED "BEG_DIVIDED_UNDIVIDED" true true false 8000 Text 0 0,First,#,TMS_NEWAADT_2020_septTEST,AADTDATA_NEW_2020.BEG_DIVIDED_UNDIVIDED,0,7999" # ExportFeatures TMS_AADT_2020_FEB5 "Z:\Analytics\AADT for dashboard\Projects\AADT.gdb\TMS_AADT_2020_FEB5_ExportFeatures" # NOT_USE_ALIAS "TRAVELWAY_ID "TRAVELWAY_ID" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.TRAVELWAY_ID,-1,-1;YEAR "YEAR" true true false 2 Short 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.YEAR,-1,-1;TRF_INFO_SEG_ID "TRF_INFO_SEG_ID" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.TRF_INFO_SEG_ID,-1,-1;TRF_INFO_SEG_DESC "TRF_INFO_SEG_DESC" true true false 25 Text 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.TRF_INFO_SEG_DESC,0,24;TRAVELWAY_DESG "TRAVELWAY_DESG" true true false 3 Text 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.TRAVELWAY_DESG,0,2;TRAVELWAY_NAME "TRAVELWAY_NAME" true true false 100 Text 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.TRAVELWAY_NAME,0,99;TRAVELWAY_DIR "TRAVELWAY_DIR" true true false 2 Text 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.TRAVELWAY_DIR,0,1;TRAVELWAY_OFST_DIR "TRAVELWAY_OFST_DIR" true true false 2 Text 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.TRAVELWAY_OFST_DIR,0,1;BEG_CONTINUOUS_LOG "BEG_CONTINUOUS_LOG" true true false 8 Double 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.BEG_CONTINUOUS_LOG,-1,-1;END_CONTINUOUS_LOG "END_CONTINUOUS_LOG" true true false 8 Double 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.END_CONTINUOUS_LOG,-1,-1;AADT "AADT" true true false 8 Double 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.AADT,-1,-1;SURFACE_TYPE "SURFACE_TYPE" true true false 10 Text 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.SURFACE_TYPE,0,9;newbeg "newbeg" true true false 255 Text 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.newbeg,0,254;Travel_Name_ID "Travel_Name_ID" true true false 255 Text 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.Travel_Name_ID,0,254;OBJECTID_1 "OBJECTID" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.OBJECTID_1,-1,-1;BEG_TRAVELWAY_ID "BEG_TRAVELWAY_ID" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.BEG_TRAVELWAY_ID,-1,-1;DESCRIPTION "DESCRIPTION" true true false 8000 Text 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.DESCRIPTION,0,7999;TRF_INFO_SEG_ID_1 "TRF_INFO_SEG_ID" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.TRF_INFO_SEG_ID_1,-1,-1;COUNT_YEAR "COUNT_YEAR" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.COUNT_YEAR,-1,-1;AADT_1 "AADT" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.AADT_1,-1,-1;AAWDT "AAWDT" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.AAWDT,-1,-1;MOTORCYCLE_VOLUME "MOTORCYCLE_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.MOTORCYCLE_VOLUME,-1,-1;PASSENGER_CAR_VOLUME "PASSENGER_CAR_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.PASSENGER_CAR_VOLUME,-1,-1;PU_PANEL_TRUCK_VOLUME "PU/PANEL_TRUCK_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.PU_PANEL_TRUCK_VOLUME,-1,-1;BUS_VOLUME "BUS_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.BUS_VOLUME,-1,-1;SINGLE_UNIT_TRUCK_VOLUME "SINGLE_UNIT_TRUCK_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.SINGLE_UNIT_TRUCK_VOLUME,-1,-1;COMB_SEMI_TRAILER_VOLUME "COMB_SEMI_TRAILER_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.COMB_SEMI_TRAILER_VOLUME,-1,-1;CAR_PANEL_TRUCK_VOLUME "CAR/PANEL_TRUCK_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.CAR_PANEL_TRUCK_VOLUME,-1,-1;TOTAL_COMMERCIAL_VOLUME "TOTAL_COMMERCIAL_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.TOTAL_COMMERCIAL_VOLUME,-1,-1;PERCENT_COMMERCIAL "PERCENT_COMMERCIAL" true true false 8 Double 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.PERCENT_COMMERCIAL,-1,-1;DIRECTIONAL_DISTRIBUTION "DIRECTIONAL_DISTRIBUTION" true true false 8 Double 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.DIRECTIONAL_DISTRIBUTION,-1,-1;PEAK_HOUR_COMMERCIAL_VOLUME "PEAK_HOUR_COMMERCIAL_VOLUME" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.PEAK_HOUR_COMMERCIAL_VOLUME,-1,-1;PEAK_HOUR_VOLUME_AM "PEAK_HOUR_VOLUME_AM" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.PEAK_HOUR_VOLUME_AM,-1,-1;PEAK_HOUR_VOLUME_PM "PEAK_HOUR_VOLUME_PM" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.PEAK_HOUR_VOLUME_PM,-1,-1;PERCENT_PEAK_HOUR "PERCENT_PEAK_HOUR" true true false 8 Double 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.PERCENT_PEAK_HOUR,-1,-1;OBJECT_ID "OBJECT_ID" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.OBJECT_ID,-1,-1;TRAVELWAY_ID_1 "TRAVELWAY_ID" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.TRAVELWAY_ID_1,-1,-1;BEGIN_LOG "BEGIN_LOG" true true false 8 Double 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.BEGIN_LOG,-1,-1;DIRECTION "DIRECTION" true true false 8000 Text 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.DIRECTION,0,7999;beglog_ID "beglog_ID" true true false 255 Text 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.beglog_ID,0,254;Travel_name_ID_1 "Travel_name_ID" true true false 255 Text 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.Travel_name_ID_1,0,254;OBJECTID_12 "OBJECTID" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.OBJECTID_12,-1,-1;COUNT_YEAR_1 "COUNT_YEAR" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.COUNT_YEAR_1,-1,-1;TRF_INFO_SEG_ID_12 "TRF_INFO_SEG_ID" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.TRF_INFO_SEG_ID_12,-1,-1;TRAVELWAY_ID_12 "TRAVELWAY_ID" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.TRAVELWAY_ID_12,-1,-1;BEG_DIVIDED_UNDIVIDED "BEG_DIVIDED_UNDIVIDED" true true false 8000 Text 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.BEG_DIVIDED_UNDIVIDED,0,7999;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,TMS_AADT_2020_FEB5,TMS_AADT_2020_FEB5.Shape_Length,-1,-1;OBJECTID "OBJECTID" false true false 4 Long 0 9,First,#,TMS_AADT_2020_FEB5,Travelway_Hierarchy.OBJECTID,-1,-1;Travelway_DESG "Travelway_DESG" true true false 255 Text 0 0,First,#,TMS_AADT_2020_FEB5,Travelway_Hierarchy.Travelway_DESG,0,254;Description "Description" true true false 255 Text 0 0,First,#,TMS_AADT_2020_FEB5,Travelway_Hierarchy.Description,0,254;Hierarchy_Rank "Hierarchy_Rank" true true false 4 Long 0 0,First,#,TMS_AADT_2020_FEB5,Travelway_Hierarchy.Hierarchy_Rank,-1,-1" # 20260205 16284900 20260205 16284900 Microsoft Windows 10 Version 10.0 (Build 26200) ; Esri ArcGIS 13.3.0.52636 TMS_AADT_2020_FEB9 File Geodatabase Feature Class dataset 0 Simple FALSE 0 TRUE FALSE TMS_AADT_2020_FEB5_ExportFeatures Feature Class 0 OBJECTID OBJECTID OID 8 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. TRAVELWAY_ID TRAVELWAY_ID Integer 4 0 0 YEAR YEAR SmallInteger 2 0 0 TRF_INFO_SEG_ID TRF_INFO_SEG_ID Integer 4 0 0 TRF_INFO_SEG_DESC TRF_INFO_SEG_DESC String 25 0 0 TRAVELWAY_DESG TRAVELWAY_DESG String 3 0 0 TRAVELWAY_NAME TRAVELWAY_NAME String 100 0 0 TRAVELWAY_DIR TRAVELWAY_DIR String 2 0 0 TRAVELWAY_OFST_DIR TRAVELWAY_OFST_DIR String 2 0 0 BEG_CONTINUOUS_LOG BEG_CONTINUOUS_LOG Double 8 0 0 END_CONTINUOUS_LOG END_CONTINUOUS_LOG Double 8 0 0 AADT AADT Double 8 0 0 SURFACE_TYPE SURFACE_TYPE String 10 0 0 newbeg newbeg String 255 0 0 Travel_Name_ID Travel_Name_ID String 255 0 0 OBJECTID_1 OBJECTID Integer 4 0 0 BEG_TRAVELWAY_ID BEG_TRAVELWAY_ID Integer 4 0 0 DESCRIPTION DESCRIPTION String 8000 0 0 TRF_INFO_SEG_ID_1 TRF_INFO_SEG_ID Integer 4 0 0 COUNT_YEAR COUNT_YEAR Integer 4 0 0 AADT_1 AADT Integer 4 0 0 AAWDT AAWDT Integer 4 0 0 MOTORCYCLE_VOLUME MOTORCYCLE_VOLUME Integer 4 0 0 PASSENGER_CAR_VOLUME PASSENGER_CAR_VOLUME Integer 4 0 0 PU_PANEL_TRUCK_VOLUME PU/PANEL_TRUCK_VOLUME Integer 4 0 0 BUS_VOLUME BUS_VOLUME Integer 4 0 0 SINGLE_UNIT_TRUCK_VOLUME SINGLE_UNIT_TRUCK_VOLUME Integer 4 0 0 COMB_SEMI_TRAILER_VOLUME COMB_SEMI_TRAILER_VOLUME Integer 4 0 0 CAR_PANEL_TRUCK_VOLUME CAR/PANEL_TRUCK_VOLUME Integer 4 0 0 TOTAL_COMMERCIAL_VOLUME TOTAL_COMMERCIAL_VOLUME Integer 4 0 0 PERCENT_COMMERCIAL PERCENT_COMMERCIAL Double 8 0 0 DIRECTIONAL_DISTRIBUTION DIRECTIONAL_DISTRIBUTION Double 8 0 0 PEAK_HOUR_COMMERCIAL_VOLUME PEAK_HOUR_COMMERCIAL_VOLUME Integer 4 0 0 PEAK_HOUR_VOLUME_AM PEAK_HOUR_VOLUME_AM Integer 4 0 0 PEAK_HOUR_VOLUME_PM PEAK_HOUR_VOLUME_PM Integer 4 0 0 PERCENT_PEAK_HOUR PERCENT_PEAK_HOUR Double 8 0 0 OBJECT_ID OBJECT_ID Integer 4 0 0 TRAVELWAY_ID_1 TRAVELWAY_ID Integer 4 0 0 BEGIN_LOG BEGIN_LOG Double 8 0 0 DIRECTION DIRECTION String 8000 0 0 beglog_ID beglog_ID String 255 0 0 Travel_name_ID_1 Travel_name_ID String 255 0 0 OBJECTID_12 OBJECTID Integer 4 0 0 COUNT_YEAR_1 COUNT_YEAR Integer 4 0 0 TRF_INFO_SEG_ID_12 TRF_INFO_SEG_ID Integer 4 0 0 TRAVELWAY_ID_12 TRAVELWAY_ID Integer 4 0 0 BEG_DIVIDED_UNDIVIDED BEG_DIVIDED_UNDIVIDED String 8000 0 0 OBJECTID_12_13 OBJECTID Integer 4 0 0 Travelway_DESG_1 Travelway_DESG String 255 0 0 Description_1 Description String 255 0 0 Hierarchy_Rank Hierarchy_Rank Integer 4 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. 20260205 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzkvVusbll2HjTW5b/sy7nVOXWvdnWV+1LdbbXjduLYcRw7hAQB EoG8JJF44DECBEJCgSg8EAkeeEA88MALEkJCQuGBKAgSRCOkKCFx3G7bHSfY3e3urnJVd92rzmXv /V/WDX3fGGPOuda//n07+3JOedrVZ+9/r3+tueZlzHH5xjfKT37yoBNrmf0bPhi2rJOqqqRtG5lM ppJnhV7fdZJl/u3TtIz3Wq+PpG4qmc/2pMgm9tz+09u2lQeHH0mXrWVS4Hkd+9l2IlmW89kjd48v k2W8B/qX55lU61aKYkduPHNT/qu3/6Y8fOdQvvy9b8gv//Kfkv9153+UH7z/B/K3Xvhv5JUXPidN 1crI7a+gdVJ3a8mKTu7cuyNFMZGu7WRxdCAfv/+p7O/eFpFcOqn4XllWStvgX7xuhwmRtkPfW767 Dgf/aNfr+Pv44R3xd/wuWWtj3J9PjjM+6jbnGbfD3x89OpBq3bC/BdbGYOz4dXx4hjHF45p2JVW7 kmfu3JW8mEiGN6+WvM3OdEeatpUub+X+wSfy+dc/L3leSNvWcnS0kIP7RzIr5pJ1uXQYm5Gm/W/l aHEk8/lcMvY917G8kJZL061lWR3K8y89x70jbSZd1iTrPevtpTDKvX3V2T+YX51jDmeLObTdg/m0 ++E+TYM10PDn2WwmZVlyvtumlU8/+kTWq7U8PHwk0/n0jHv47I1L0161WtcyzadyY+8W+1y1C7l9 95bs7O5K12WyWhzKpx99KvPJzd49yjBA1tkxAeCt6xq+fJ7nkmeY0OzY649tHNj43VRY+T29X0Um Mp9PZT4tJRNsqEwFFpfu2POHA2/3zUSWRSvLRSNNjfco5M++8uflG1/6RXnpxZfkb/+okhs3bsjL L70ibXW2jXWhjTvIf7R5ofC2ucrxd3yu12EM8gyLtpWm0TnCzzo2NhaDd8khm7JciqLgXGrDBhhf tOFwoOCK1+Sci4bCAP9X5IVM85lkgnuOHCZn3BToWtPlsl4sRXKsB9xT3zUvSr3GnhTf4yxN+71a rzgWeE/2/XL3LlvvwAjjgvUdnz/cXhkPGw6FZP7HQg8rv95/bqWVkoc15oPf1vt1ItVyLV3TSVFO Qj8uW2ClrxLFqv0P5hYvNbJ701amf8RpjPWKKRt7HDYDWpFjoWTnX4TUkPxUiKeJD7a+hAoraggY TPxf1waBVXBD6PRu3t+0gdh1toZX68Q0TUeh9eIrL8gX7r4uOKyKPJc//swvyWpZySSb6Oa9sFP2 HC1dtJQV2ncVHCqQdOxVI+twmtpY5SUEUaHXDO6H1jY1BVtb1dQocAgVJTTYkmPRP9lVpe0vMswF BGYumKJ84psml7zD3PhEjrzUliEdPXwaaMYFJ5r3x9exTruOfVbND0Kzk7w4u8Di0LaN1HUtu7u7 YVNDGz/3YXzK1mI7Ufjk1JZcU023bRxC7BcbgPCRXTMirMLfKYD1XfRvnawWSzk6ONI1DyHNvaQa +OWaFCMHqB3OvaVyjDgpVWLrC1FY4eiF+jLyKAiPHKZVUeiivuCmqjD6oT2GQFmul9Lw4M8xunyu TirF0ujLJVtUBaKtY52vhuIOG2Ddrk1DwWIpOA7zbkeapqZQzrdoCVfRuPiSR1NcmLqvAiueSG2D DbfmO1BjyqGJou/QglWwDIUBhFMOs6KFVlZLXVdSdK2UPK3tvd3M4NjhXoNOhuNRhSZOdPTLNyC0 oI1GzXz8ncc+hoWq7xI1b59/HmjQtHKsCxVg/UE83UDDzTGbwSTK2X8da7nANn4zmLWPHj7kz3gP mm5cr0W0YqhV6qGeo3+5j58d9JRJ+t4Fr9Wf9SCjGs15UaHVyNHhgSyPFpJ3pZTlVNdFGPjLXesq UBOhlT4XwicuOf47NgdlzwQbnH48zaXVE413wymMzfB4mge7DMFnWkOvce1joRdSNWtZrh/Jzlyk zN1W14kK5/1oN+KHbi7oxy1ElZq2Uss71ZuyXq/krbfepk19eHgo6521zO/MpKt95OTqGwVTolL4 KZp1UrgZxJMJi7OWpl5LWczUnLETNbw5N6CPhL0Q/19/hwkHTayBtgXBJ2vdLHmhG8EWkh7Abhaq lmvqjmS5+8GgbdnM2EGYjh9vwzlXfyIPwaaVcpLzX9e8KTdsXUD4Ng18da6BZVJVOFBMM+Bh25Ov YXz0HskGSXriQrNual5XlpNwbRDYF9jYH/Mn+kEL/9J6VUsu2FPQbG1fQchQ0Hj/3eate/5FH6NW KmnqmgIovHfwN5p2lcc+5NmUfka8Z9vh/Ycb5XKaWwPhd3sPHm6Us3bguB/ONEL3x2FtlGkf9e+J X8nVVAxu3YYNETtwPg2S6rz1XfehLqCgGYX1DsckTtCcfqxBT0/pZoi+KHX66UNp32elvPvj9+XD Hz6So+kj+fEzb8tPrX9a5HmRsizoQL5su360+QHEEzN5E/Nh6eJyLUAXNTZ2vx0zMTRDbKNTKECA 5NLivw7aFmyVhg5aCDMVXNGx29PKcQiUcCq3vUWZtViOxbhPilsxEcRYrfi+afhDfyZMPTV1sbjh f6xlOp+NvGmigVk/to0Cj4RWtRqanOHr7oqIQu1CWjDl/Xebh7yUSTaTAoET7rfkMPC+2rt3mZrC 6tuN77nGOu0KKbKpWQr+hhpYiXOXcV37/b0/Z9lNjzUEibKStqC02OcMJtjc5UUmbYO5Ug16uMrt e74YeTv+jMkti0n0G1xSS5cYtAmcGk2zFplsLv6zNt94+Fc3Yy7rVSV/8ud/XuTZWv7vH/4def3u 6zKdTmW91AjcdTWa3j1phWiZOT28wdHd9J2lZ+1z6mzF4s5lItNpSTNpXa1lUk6khImZCLhgY/uv OBnh3EX0CcIos8NtxGFMs5Hao22WPJOmrXWxUrGxqC5No44RwBKClO+Og7OigMRCPssy9Mio7tss +GTx+2Si20C3NPW+C1Y3zCoIGl/SJz5Y3THH9V01akmV7uC0gj8WkWIIvzzTKKBqw3aIQJullaTa baphXmkzrS+VHzRcIVNoGcSGz2CmU7PpOvqs8bVRgRXVcSwUnLi1+a7OE4U5Y0s0eAqsfCJtu7qY W3P+VDuopZbD9lDee/c9+e13f0ee/cptqatafmX256Ojfwts4tIbNn7iR3QtV4WLRmc1EIEImp2i ZxRW6Xv1fEPQqKST6SSTusnp31KTSQV8OJlD3zwwgo0/kdXySNbNchBtNE2RO8YMVvdFwhxt8Lxp 8FvoBsXRpdHHChsSAgr+trqR2RS+l7PvOL2/ntQwx/xn1bCGptaYKXnxLRpJ9kyf7F6/u/7BInEO sKahdU4K9225ouFCV3+Pt0xVvKtuqUkY11A5KWU6mcjaDsn9/X1+hv+aqqIgxnmFb48KLN7OBkid gS0Xo6uhyUUX/koM0fd+twjGBbRgymStrOuVPKjuy09+8hNpHuTyXr0ni5cW8od/+IfylS9/NZgF 19Y23C6m1tsJ6eqLb7rzalabmB937Gs0GPeuq0oFFx3BZlJwP5v5ZkJzOp1JXiyk7qAx9bUG/xER xOCDhDmZTWVZVTKdlJJRmGF+Ogo94K+IvzCNAP4maBBFMaXperYX3nx//IdDEc8dCsCL1a4TU3o4 sQM/31gbQo66ZO6oJdLd6b4rdeOkOLuNKJzeVZ6UBi3+nXfflm99+zfk0aNH8sILL1CTxgH5la/8 jLz8wsvSYo7g79x2kyisklNoRPI/rm7ZdwjrgqXZrUqOPv+CBxfP3Nvfk2k5lb/0b/0l+aV7vypv rf5A/vEPvymvv/o6B8ohENfVPArWi1IPgm4qX6KGdab7p+ZIuBk/6G0sCAiAX+pmpVHiXKNy/Dxs Hv0Xh9rNmzelnJYRIDqiyUEjiDNfyGK90vsQgqQBnqpdS142Mp3BDVFIvlYtfzqZUTtSX1fqZT9x QMO4EnhpDvAUGrFx/UVNf6qsRTftwFMlJ/qGs/BdlUB4F/rgaA7ORDrgyCzIwihtErRJuuJunmtv 7J4GYGDFrZYrWa1W8tFHH/GAfO3zn5dnn7unIFloWNtMQnXiZlLVMAfgu/IweXxOf5GfsZ8cVD+B caL6X9Tx6r5JmgVY3Dwtohl03qaLtJMyLxhpmtRT+Wff+l25+bm78qPpd+Xj1Yfygx/8QL78hTeC D+A6/VjpkqbwtiAIUNL6PjqGPazVmR9hUaTko3Qxq5DKZZJPDZSKQ6wW+G4Bb3HfCjpI1wH9hERj JffyMCMeh5OoZOgeP7dNZRE+BUt6MAYvBgE4nZUGldhlJK/vX+UTknhTXzbwvSwwQE2dgh1YtYbv AlS7K60b43eB+zkIIMfSBTmufhn1rflaG4dUaKSvM9+AjW3WSN0udSwHkcMYkHEl7jgnWfSHXWYL WLBgvVifReTFl1+QP/Orf0bu3Lkj77//PoXWSy+9RK29WWkEGXO31ekOB68DRfUE71vbF/ICyX/x HBhK/76j8rEaF7uqbtOpBhAm0wkFwXK5lFJUQwCWCVHR62q6/21hpyPfEyyJH+Mxx+c4oex/c7MT QgnPhXmW8XTXKCItN/q1LXzPNaOwA72PWbH4twVot5N1taDAsmwgxZXhcKKAwhzU9CvCNEXwRXFW GmH2A9PTPUY9M/YH+t4MA0TPWI3ob/J+x3m8L7oN/H8mx5O/Z6eYo6yH3YKfN6BIBpkryY179+rv sat6fz1aU2UTWjP6873vfS+ssd/93d+lWQjBVeZTuXPrGZqDuHZTYJn9i4XiztbLwKWEZ9lJkEah 0iDIRT6XgSgu8kw++eQTOvW++tWvyv3v35d3Dn4s8kInL7/yirRrRYxfRbrC8R3u/9iP6Dnk4fIR 2ZIIUM1F0wgbsFMVch6p1muajyKnIbT4rb7/ha43xQQBYX/46JDm/qScUaMPY50hKDyRFcCw0IR3 8HdNmVFNJZpE7gMKWqKZRH52B3PPfYCAtLTId9RoGoTZ4wr8kwcvUZat/y5UPBI8zN3ceqtOBS++ 1taa60rM3DkCL1ffYiqZd5OBva6V9Xotr732mnz/+9+nFv+Nb3xDvv/9P5APPvxA7t25h4QHtfaG yS0YAJyi+BJBhRv4ngt+Bdt0/rPuvb7FfZGTwNB9kcsH733AV//oJx/J3fIFufPsHTqLv/UbvyF/ 4hu/YGbxFURFt7Z+lMp1qb4DNpqLl98dEwQmKDNEjAuAH+sQmIEQ8/4hzSlqEL469bBQxD7MylJm 5S4xWxEuR/SN5rjVanJCCIZgg2c4BLCz/q8Kr9Snp4LKo5gUTPybYnrK0nIGr8iVo0MxcOy7WupD fNIB2aU/6qERxmegOT1Wnu8lteiD42/8X4JBbZ7efvtteeedd+T555+nL+vg4EDu3X3OvgTNOpOy qqvBbT16kmuUyBywRF5foOqchmoVxJgYP6nmcIEHhk6iYoCw0abNTNYHtfzMz31N2uJI2u+38smn n1iYW+3ma5nyHmq7t0qJPzKqikT17640UTfVZqCpUEcxDUqd7Zqmw6Totp/iQ4CktMRe4U/AfaWh bp/zgNqnOZebmanpSGEemXgdtRX180FYukbn+YaKC8P9cRi7Rhh9SZff/FweM1/TdX6coOkQReU9 1K2RYiPtisTH92QJKzY98TxGbP5qnVeYgL/zO79D8oGvf/3rFFx4vxcRMbTcUeIn3U/lDS8MNKym gKgKHmk2Lg6bErBemjOgC3vgx49jfnHPdCzT3XvPSvuThgDJjz/+WFa31hygl156WRe4d+YJmnh3 L6u1hQnUBWwBr6v1vSSfqWBJImA48FKkuQkyByDDad+2lfqqgLOr1yErw334TMQPwk7z63qwmkQJ 12iqOnKRyCykl2k5tyrYzVzKRVaLlcznM/WREXAp19b4noB2dEWP+mbbEZQlnXXqoMlkluyfPgL+ SWseOfZ/HTq0ODqig/3VV18NUVsERCCDMJ1w0UCpoYDeme9s3jhQtwzbRQ2CUaHUrZQzR+b6Kakm AU5O1/LHenKup1pGMXBF1c2l7D3Ylz/26s/K8/vPy49W35XnyhfkZ974mnSNntYX9dwzt4HqHA5g ClzfgBCqjrXBxoR6YT4dNs/+vyBhn3bP5fiWTRHNVhVkIZeavqlMyi6TdZVJlVdSIQ+S5pmeusin I6zEUnUabsRNzcFhH47nggCa5nN59OmBTGeFrNZrWS0qmU92QhAJCeKahlRsgDEvtZkQYVI4MvkT F0h0240FnIat00AGsgEYPbfI4uArJ75TEPqevmPYu1N70s7X3KAf9m+5XEmbN8zh9bkBOBh8ZtIi SV8DOHjnctuC3sSHXqA5aOYCWsjj8lEPj4la3YWtKddImlZ+/cN/QNv/3rP35Pb8tkw+njCMfnR4 JNN816YOfbweP1YAdQYNCpuZzqH4WRb9bDBxFSvnplTBMb6MBXhapdM18/R6pxP0jeeQTc/dUyyW BUe409UciPcc9/ng2tlkLvV6Lev1kviu2XTHUwQCJANpVy78ILyuotGhYjAGxyK7oOgdiqdc6BkE MPncVLj7Z7zvqS0CSzJvTGiFiOnlHdIb4jDZ8mG+7Xdi7bJc0e5rn+ctuYSX3XAi1o0l1w4xJMO4 9AXiQ3xjKBOBp4v0k0npyARLmLM4XmeQMIEEqN8oNc2jCYD3wSadz3dC3pgKBJjbT45Ji6b7VlVn 16bJvtnBH2Y5gxYFo2J2wgZKNS8I72kxl6pJopVkkzCBXhRk+8RmIGeYpehcifU0AAFHUW0RTAqv kzvSGTsGIB8IHsFUjgGJ0zcm0hvWklxiV3Aw953u/lkmM+LhannrrbfocMfvYA4Be8qd288QLUpC zeNScy6zcYEBPzKZJlQoyd9N9R26Kx77ue7QLxS5/3L5ebmbP8eIxMf3P5ZpNyONLBc//SbxRLzS FoCz+mvQ+gOw0IG0am5hc9a1RncnJNJzErpryoU8rjneioFHNdHVga5QEhDcKFEjLjhJQ4wgS3ey g0sN2B3gdpQBFbTYAKdqGo7SE+k4KnW2XF17zPhI5sKZTmhE8SeBbuksTR3YGrBYLaGNXh0cIgQc QuA4k6pr5bd+67fkH/2jfyT37t1Vqp9M5Itf+IL88i/+aaW4MmDttQgsOFzZWdirY+eKaTbkv7rg waQoxEkurdy//6l88MEH8vHHn8i3vvct2X1hjwDSGzs7fDbRuNflvHSSwkC9k75Bep2CLKcwh5qK jmbmfZpv54lsAdrQyKpZSAa/jgFLdWEqHzxyPsEUsfU25tF3wKFHKj0kl5m/sq7WMqP2WSjvVkKN cxXQFT98XFCO/d3bSXCEDDmVjHSaO8VdOmdYpg43IbgEmhrIHI0V4VKbR2AC8kD3Nxzsb3zlDabL IUqollcud27fVpqnpUZ2r01gkW/JBtzpWZ17yycsurIuEDgKz0ZeMNny/v37TAMoJxP5vd//fXnu +efkJ9OFfOc735Ff+5U/J6ujNU/na9vyatjH351EcYjPMv8iTiX8CLK7qoIjG9rrxSWOX1TLscFa sDOUsrs7J1EjCAhhDjKKSFOtEDDOwH8BPNe2lrpcUrOQ/pmik7ZW6mPMtwIUIwwkRIGvrJlWue3P pwjAd3xZTdzX/QNcmwZgztQTyxM2qiwuM8JDjtlqF6I0cOj7a5dpU21GoQVhde/ePVJVHx0dyYOH D2VvZ89Md43aUGBRSBjO5aJbSlWjndMiCYqgj2kRnmHeK65AFsyLExlqJils4180vyNvZF+Vd955 Wz744D259Y0b8pNPRA4OD5TKhN8oaJ644LhM86ofsdKFqQ5VXZA0n46J+GH6NNcO1Ltr6ToILeDo JhoSdlxSoSH/62r01WQY2YnszEuTOuYI5wWRZcB51aOi2PcCqXaV5hbqqQ3YBMP+0KbyQgpS10Tg qX79ciNi/Ze2x1oXHBem76w8Yg4iJcZqYz34K3cWPNBEcyJ3z+GjJDOWQQomZUmTWaO5LlTNvNaO 2LNdM1ZeLQUGey7kJsQ56XQCDjcsnQcI7FnAWb355pvym7/5m/K5z32O9DJAvt+6eUteeeEVJXy0 qDFWTEhfOC75MvZ6vKUI2/BZSFp2gBiyrpXmlQ5DAv8s/N4DamqErmmx8TCYmJzHb5oyAqEJlHUh 9z++Lz/+8B358htflP+3/qasVmv5whe/aKaCwgec5TFdQBbwGRuFLYNzTJ/s1O8JQwt3R1PHI2Xb j2FndgD1LZrytNfcAqC1hmbp+KbrbXF9RUpuy/WzT/VnT++RkQ2cAEVptjutshL81cB4wY2MdKEc zBGJtLgWqIppdQGGEbUZrwI0AJb18cLBZ9kp935ekBL7vBHsNN9wf2/fEPOepjQ8nFOm2biusD8U q+kpdVZzYCA81PR3/JUWuYG7BQDiKTVfJXB87rnnCBgl1qosqXFB29I5xsGjexeoeA0p0wlXa91B k6LDQGSPAXPb1AwEFgYXNQf5fclk3VRhITFNhgvNTxW7h0lenJSIiJzmuadriuCH9Ebyc9mW8sUv flle/+nX5B989+/LH9/9JXnjS29Itao0wRfRTHBe1xFw6hgyaGGb7+69P35cku6omuvapl8bYA19 hoyTaGR8Ifr9oMmSxwomeAEe79IczddXXOPsLdJEp8BRZ97wIcG7akoZ/B1aAYgbyrTSwBRwzU1r BI444Afmkh9A0UkNih99R5Ad4sBVaMvZ++AHBb4KH+EEfkI+zDX65FoTlG5CZlPUE12p8JhAezdK 5pT9+ZiBVvpjbUy1KQoCR/Gdvb09Rgr9UIXsePG5l5R73morsmqOFi5A9vxaFstDybKYzY5maJrj w66pNWMfaHB9Inu7txQM2Nb0seQluHvAJBq6brle8YUxIIrNMU7xC2rqW6zl0fqRfPm5r8nXXvuq NF0t8525vHTnJRVWsALzXBarpRweHUopycJXUTo+EipVxh88Kh9UwOzs7BhBYtTgaMIl12gY/rjV 6ZgnZf/UPFDV0LAA4JDXlKvyKRJW2oagUS3QYQZgwFjpmmWBXyusIck4Xify281dn4sxKdOTX2Zn DQVAXVdULKAxK4D4fFpj1FaNf66X3pXywLnQNOJGEzZITEfFKZjcaimZr5S+5xiZ3hxygCdi1STM I2Alt2/dFmRo3b17V77whS8ElhjkmuL6NTRmo+goUw0OixocRbs7OJ387RxmcFJzvSi2VdWxKoh3 FmhjRIbgR4Hk0FJQUa0iMgUoXjNp3H91kUsNmx6L+8PmPccK6DOyjOWPsl2Q3qv5SqHZtFJMSsk7 lAZj8tux5Qq3jdTYGJKoDsyaTdMDNHrdPTd71EI4vvRUVPPNeW0RTm5eVp6piSpnOJzsnteZ2H22 FsxhH3T7vWZVYwt3w7ygYEgTqZ8M9oJQzxFzE3Aym3Ceje8lZjDWSNPUqtXQH+zfPrualT7Zc0PV JTSoLRdSq1RZ0aQDBDQKyVtEXBtpSejoUBEXspFyMzAzeISQstjMRwCfi0JW1Ure+8l7xF3BwtPq 2xl9WS/ce5GHL+meWDUn+Ge0QCUipSRni+6C6FSxDm+OQO/i0NmmaKR2NDad6C1V2ro7EMmgBurV sUCnSWhACuA0peP4JM3ibA2RI9wOkvtuec94mpyFUiNL7v/gCYPSZtSxgA0xehK800hFmOMEuzs0 e32BOzHrF7ugsLGxinlhXnh2u/8pLsBkQ3AdqkaF04qAXdRiBNUsGCqfsAjithY1T8VOQdPwiCBM fC2+gE3svp9YQOWJwKLZJqUfJtGc0TTuNBBevdxa/Y5rHbmVXsMmpraW1n8/ZVNUg2pxqr1bUWLu uc2x0oJjGvhx3yIwYOgTDsFJBq3WNDY/dG0ONsDz5tfmeclkdRzaNaOCoCt/99135ad+6qcUD9mK PH/XDit3d/gLxxJbkGRODTIchHFcUnpm9Aad2pJuNAzuqlqyQnEpqMUG35YXtkiFVoBhaWFQ5Jlt tbLcTNWUYAec9hyszjqSyFUuBiuxRM1PWvnu4e/Lz85+waJHqrprQIDiSwfXoyFAZm8TTtv6umXT aDJwWr7J6FssmmbIMXvPY7Si8HIpkwM+0EIiMKuZKFsprCSfqK8HKSzRN3cVG3vouBn6Ejx2pO+i +YXKruEc+5F7S9lEuM4syK1RwyRB4rqFlQznML6fmorjEeioKePFWmriObRlHpSp4Itj6CMJjCEK EMNiGmu9YHTP2R9L1hdZIfPZjpZqM4ZF9X1FiwRuDORnavZIhF24uTm0Nxy6pDVLrBhIpT7Vr7zx FXnllVfkRz/6kXzta19TrapCZXJg6awUGzQsVynN9dGHz59xsntXJ4Rtq/URkcco+rl3Yy5To/ZI iye4an/mlkRUsHjr1lRXA+plQzAqu2X5V2Gi4MwrGAjo+w7sX4RzOVfuW7iYEvYe2tBnDd7dzoug hZ42uJesRtcygrbF8mYTkToLWC1s/AuvwXds/ywCmBTR9TQpP9iYGM+qNrHWIf4OOIoGajydKyF9 NOE+9J88CeIqONQtUuabX00wXQd++KbxQn8n+FgBti4ne+rTTXx6Y35lMuiuUAzEfD9n6Cj3IXyg WcHgDZLVVURs3gd+LUSl1VxtNCJ7LOg1DSK5pqagVQTClosl/0XmyQQWAYg3OuX09/cNOCye9E0t k9nZK7BsayUifFLJavFQpmUpezul5GUMW6P1nKnnyJ4PZxbr9nVytFxJ0yLHKlYp5vnmfiDJ6ftY douNk2nYru9wTuvnRUf8+eYlST8xxgAAKdeVFiTF/X2hXYW/J022jxgq54pXQRW1KPXrxZzKK6Yz vrBmh7K6QE9xtcN99N3rtVa6Lp1Df3h9AovRvQC+sUbyUjXRsTYmWNTHprQ+TIr2Ct9B09+4i6WF AepQSTE7vnaonr1JXxkEKsgs+6M3f0ged/DRIdsELDJ379yVV1/+vJGK6ncM6e4+IzjQLs61URa5 3Ni4BR9PAAAgAElEQVSfUa2kdypPKjwn7/84G4WJm8RL5VKt1rKuWplMdyn99aRuKLSY7gqToSik zHVT7BSRWmfdrXv9uVa/hzs3BwfbedNIPDQdWTcymU7nPM2U5UG1lqt45zRYDzYJZyoNuWLlxBKX 3TxJzNVUK3sCnOmnbTEcdTqzO1TFIb0OoAxNiH5mKfylb9uN3Wh7n7YIPubPQudzwHYkch25iYLf MGcM6kBrBw7wDPAnd4fszOck8bt7766hBCL5YqDA6XIUcDJOa6OPdfzHRTT3J+i9HYY/Lg89InYW Jd5NC2WdhMDFM6eyM78RaDdwelNldRxHWRJYCJX3lfmrOmhdK59UH4tsUoNdSxtGuNSX0QSOsLPd y2z9wdmOdAhUJKmqFZkekIt4nnJhZ29aOIFQBPcRUpsCrMMoiwPvt/kK08Mtf5JsvdO1vpvdjfTj Qr7u39Igla9bGeHvHx6ubjNsy1s8roVk8LSwR3/4+882xlcEdHAVInw8/CjkNtfS0M2Evjty/6de fVX2b+yHdzl4dEDNEsI6JSckcNQFRXTyXkxTs8ZKZofT8jjsyNmfHSS1+6YyxeCw2AGdQCVphamF wexYV6yxx+/a/+K7e/m+7OS78qQ0VYYidXQvv/IMzc2ukEMxWNbYCNC0tCy9V6a5vAbTAXg8PIfl 4zKLeNF6T4MFZpIYXbKuUQ9O+On+tGhZMaB0mi3G9yVGSaEM1DgNV9YNTPehsELE0QX9md0rpqwQ 3GlC89i3SqA3yoTh0UzM6YjACpTVGkzwtaYJ6oNoLu7FiD0wkNHUKKl5EMw1CK1eeEujIUbWlmgQ 5zFH4uLVSdZBUGoKNYGi07aw5FdE+g7bg/C5/qubV0PjThm9WSopRBsfaxx6L9Drh7+TPyw4Yflg 47g68zPGz1omA2PuwSE1ndLRiUyHXJB3F/P5VIAcjwHb8uBEa6brWCmM6Sows88WrMql6CtRDJm/ t9dj9Pk4v/C+vqYvou9rNdfDn8beRJksHOyrieyJHy+9MrgOdMCyHpOo3gsNh5LCPqwvDucxnxei 9ZPZNEZ79DanUiI871MzKSrl6iLNUepf2hSgYX2ZEIsC0P51p1/yvZI+jER6XzjD5iCpt4egf1yf iUoajS5lJR1zYAHAxGhhzli4kW/G4p+l/N7yXyS3iMA23Ae4EmBM9EQbQCOCxDq7ur2tbXN2W+A7 /Mbw9jkeGf1Wg7s7jxJ51dU5S/K8MuJ6TvSRnNji4nM/FaAkGo0dVrIeiZj2IoDRYX+FacsX0kxE BBNKz1P9lInpgzKnxDyRJACaKACxGC8frMEh6sKFX7TU6SAEFD9FSuWmld35PoUfPgNrhtV/kFW1 IHizYM6ea7OptrsNfpk40HnoQGue0M2A4jYK5nXfaMz3TPsdtX+HMvUVm2EjcLQGl8dT5shkM00A DnXlOVJKVePY5WkGx64ioJ1KQwcBYLev3/w5u4/Iql2qHwVxTRQvEE3y9O+xXcLwbBvzrbmHF/Zc L76jiw6LC6ewl8TSw8XU9y3h8+Mf0O80w95ASF+Jn+zJb3bWBqHQO55szFmdeqao75M0+06/6KG4 wHpCDrAKgadc5tMd1oBkcI3pNoDr4LDvZM0cTAeHJ5xhoVrW6RzpPPg6KA9YS8BRJhHoLes3+M1H NLBhK9WHUYXkQqeVeBpEVzxd9FSgamo5i3W9krpakrUSk19MZrIzg4/KQq+ZyJxRQlWBC+DZswlP oLLoeELgPukgewDBta6LbEMzp4+9G1CQXsjzYtoTlDdET7HYkNiK3EaGtv1kPMfLpk5Xhy0Mk7z/ qLS4hDZdHyGPr69QM+3FTfOTFN3WinDQtcP0tk4AMV2ByAA8UmBHwN8ACGekzeoYGrwIq79tM1ku 1ypEu4z5gqfxYQ1/V6GlqWAaKIIJ7FrTCam2xkZ7nIArqaIjhQbpDpdfA/fCm74cSjaBSkU1gqPF fWm7pcxhR5NvRyMYcLXvTPc3kfldJ7eKO3KruB3KjoFuqKwm0lbGFRQWVE+SXEhLk56tQyOL5WL9 NqnD1IGlMNXWreY2Yl3ALDmvgNHFqQPnoOCQPfG0LbLHbtuFft/s9lpnaW6ofdDLCui3yGPl457L zs6uFJVG7wjnQTAqqV+ohJBqOs4mM7mxe8P9IoHoUqmKts9/mp2Rfqacc9CyVGhpIdxjiBj1i0nO 5ab/uGcSOksjpLrmnj0lLQk4VutGihI0wYoK3t3JZT4pjJiwkMOlY0s6+eH6e8kN7KgxzZLaBpH4 Gp2gpkFnsV0Tiphe9rsNYAgXffukrFpcyLrQ4MebTpyg7XyAUiVL9OBHTMz+oyesrAUKaINsDPxC fh5SnrcRVOl+wJi6lm3e2jimeNjy2kxm0zkLcqjRZI5+uE9QGgxOFLp4C1IPwTzcg/VhVFOud2na k/duc+K2rgvSdkemkLQy9egCSMgb9R/7d+TWpeYBofcK5IPAeqqUdpssaAXlRB3H4NACaJVFCMpc qlqTmpEoiy+su1WvSsjD+gHv4yyKHqXCQCMdB0nK6ghFWJ1AiEH6hJ9wtqgG4XbN2cuOL4wxaP2M Cl0wlyG0fEEpwjwjG8BqtQwn5fn5s6wOX3KCPlXr6tLaAFc2dGCpka7jbyXdXIjJNvkQ7CkzqUyj xXpWgjxNK2PdJcv4UNiCMrISROGVtfUmJlw9gfl0kcL0EOwTgp4899t2x7CV9OJT+Kr9+zS5RD2F AYJWgYdTaTqQi62lyIB2179zARC246HzTHbyPT3puk6++cH/Hg8R+gMwsR1J/vLbe3pCkSVSj0gI x7pBUU71+0SmRk9Px8MUe1avG8lRjScHf3m/MbqJiA1z6SyaAoZThxHYYlEaHnvnLRgcG5DBA/yf yFgZPk5Q44wO2l+UUlnxP6x7x7rv/m6nmxf3/ZJ4sdVE2lW9EgwBI7jhRmmY8GnxnJ69MTpvhxYZ ZoPphz9MZN0sZWcGC0Akb5G1YUGwDsqDHqA00bstThs7IMM8esk6svb2r1HZY1xhyf/2w/dJlusp p2SYQuUR3T626gQa9jQFi9dvXqK5hB7Cfsocou5o1zFR7YhME16yO/yfNhUsaYtk1Kj6fLd4tvdX zd+KJnLYZszVqgJIDtcouA+6lzo2sVwg6A67JTPSj3mLjVWxge5Oknxx3/B5oCtxITlye3IVxSfF j6MDOGjZtqCReEpeeLx/qcyWrgmkqrt+IUINQtqMPauGKW3AYWxa/F6Esl6+MGMl62ungbn0Nthf Bi3R/xD2hyiH4ILGI4ToUNsxLZ3tGoZoOxSJTpSNv42nDx1/JDl19NYHWwu70ZaOPE2Ndr7hTTS7 31VRn1xTU8x3oFQ2nbxX/7gHTMRVE5kq51XSPGLCW6UTIoiiTGVSKCBvvUIOVSGT6SzhUzOyP35z SwKqP2cYHsRXy6gNOkcYOOfbddR00lNtKOR6L+G9Tn/GOxjLqVPSUgDjsSjC0YAiGlFSNSOM8HFw T9eYbO1En3Es2QWECd6gUOLEAoEQx/mQHUB9LJ/l6GEEQ0bNNnWjE05aV3agAuAMDQuUQBopVHGG iNv1JORvWIQD+uahmat+Oi8c4SwpGi0cS07QaxHlTB/hBS+6EYFlSPGndc0wvkJ/oxauIH8PycbQ IupTwaDh0/Bdb46+750Ubor5Bf6bOemnk5mFcRtN/iToVKUhE3uNEHBbC2dsgBD4fETfBs/dVtlb EaUev1FzzP3TwKbeoG5b1n1LaZRBooYlAl8fqKzdIY9xG5Io9u5rY5OON/UCd+jTmdsQMuGc3m5O M5UkzJH8kWlv/m9/m+MDSpXFYhFcEuqMhwZfW/4gmh9K2bX0dSy/2Oc68ujFyfPDR/N31VI5zrZE oGwyLeXB/p6uCSvwenS4kLIA+n7DJExCFE/lyaXq9HJ1KJI3MpuYeZREJTy9w9sLk1f0h07kOw+/ PVqq283JkbhM0JrI7w6OpkJNHeQpZihjNtVioLgS2tdxm3ETwWB5l+FzLfEFf+O8jPmOG/6B8bsn P/pYdLJY3w9uO4wLtEQW5yh2SJrGSkXwiTCTNYuCMjzSIzqRA3x4GjqcwXnwGW3Nl3z+dFaSVdKT n4H78YyLz26Lfp1f/0//2iYFeYq3+ey69DabvetY6s6wlWAuwGZVhx1UtqdvlMjxVCCrGyRnucym qWnneribRLrBZhlK0usVB/VDeTZ/ob/dglY28sAkbUDNMiWU48lozs+qUnVeYRDbpFUiEjcWqUMt UrrcXKTFs6y0VdDOts/ZBuaM90HuWKHQGDNfyZ8khcwgsMyf0uUpe+RIOTK2RGAlGpzSlHgoIskR y8FHVlHbWixRELSTtuhkf29PdmZPCF3GhbVUbYyVqfHJX/n/Pg0T7sU04rVe3q3nZr2Sli5Bd7Gg bZ6p0fTwOdZfh0GhZAWaPy59ll2oV/ScZUmwKGnlo6OP9WRD3lKpoeynRz2Pg4SinDuDQJwOeKqt qlChcm2JmQ660wiOgkaZoEoQ6nFevXST+h3AWgrzCQUfVkwXCs7ELTdyeeB8UL4QyE/l97dkVpLx wWeHNAr/LrK5edCMa1jj8rZj8QBQVs8mE/qr4CDR5G+tAacCqq/xjDvFExbJwWqM6K5o7mR1JlM4 8xGBJf2uyKP6AUtYfRbaJpsC/zdwm3Me7QDCQRTOg8RiUDdA/PzKtmKXRJHjh/a/g5UU0ngcmjNi to7myG7/oOeK2fLu5Y09nNq4aKL4pfz4CsNPYxtK6lW7knm224t8Ke2xmWNJVO5sDeYN/oHQmmtF XamOEVgurRLJ5f8ZfYovdCTCAkrRyMJocoFEV84kz488fS/BK1TI6mgldbYmoBYJ32Nm8WW0TcG3 Hdn8NLVNkK1CVhSLVGuaisFsXIgp068Wf+D5gwPjqtUqa+gLmDtSiiH4YMG+0GODSM0Bz4VMfLB6 7eZaUsug/0n6cy+IFFhdBk73KcBpLApqvgYmEctnq7lD00CmwD79qdt/Ovz5B0ffk+d3XhoR1GdT NYMqbbl5oE9HUnGLEkVbOqYRI49sujbGvPd4ylD7QoJyJovqkUzLPQocd4Yq1OH0/h+mbkxuMum9 YIY/4AZTyVEu6ap2CvoOFoFTk9U/+c03ukJtNEKqAYeWqWFNs5auqPnZ//yVO2F1pXCQ6zRvupBO 1f+wR6V24k3O+fChDyvBCaathElhdZcVwAjfxrWXM7+4puaIU8Q4z2Ofq8mvdG3GizaeVXBHaIH6 lTzNB0UEtn6HeAungHWVGAVBARpUDYqI/aKQ3b1dqapW1osV+zkrd2heRIK707cSAioD1UsmKLkY M/Kv1jTzcP9nQcPq+W3cN9i0Gh21klyeq/pr//3f4eyC1vvg0SHdCcpkYQLrGoZjvV7I/s0bMtuF bwXQlkYOjfkzJ5PJyPsmwRfn5cd7sMrNsG15J/h8y2kpezf2JSNQWWS9WMjBw8MeDhKNx7geDJqC 4mC2z1ILrr8elsHOMxNkt4s7vahiLCF2nqZIX/q0QLIPqMW2viGyWK2lzZFwrHzagBRIpg45RtEs YgjBhArVIkcUWquq1XyxLuVLOmUP6WMybBRKKsHpbn6zy2weNQzNMVmfAYHlQGYFgCquDZoVPiMn e4HjAGshkxd/+c9K1rWyWq5k/skDKfIZ61/6IXUd7Wj5UO48e0dmexqJhsB6+Ol9aVY4MPvwArQs BGwA36mNCFDLrw39n7x+y+JCrcximsnNO7eAgeB1i4NDmX/6iGQFaSvphA5klk//okELWSjJ5oDW iIF9q/qBfNh8YOkw8TuzHMUyomqufoQtiyep+jPWHOwHPBMnD2WMrK4cWSdhloLXvKsU88STyaMu yk9GPIo9S6NLznfeye7OnnTtgSwODjRCaoR4Z2kkhzP/A3xgDR37Gim+zIbgAFKcHKcF7VLzR56K KM+Jzc10mLrkF+samU52CNKFuALJZLBg7IBkPqcFVjwxOvqH3MnaO21P3cauPnaGkyh1rJdp6Wch 6qfWANYsNEhlLRal2LaMj1GNv6c1JI+0dc3lkAhC/WcQJXSb1atU698/G4vHAmws2ArBs1wuQujq 87tfCE5SFHeNfpUocFzoDVtYRP6cLhk8S0DlE3HilLns39xl6aJ1vZYGGCcSkYFsMJfd2W0pc80Z IyWuVdhNZ4D5kqieUrUyhwCUXGazHVmj9lyzlDLTrPyzNEYb9SeBi+1qClCYPw7nY1fq+OAgrpnQ JE9/i8wUWlyhkekM/GpKDEmne9Dqk6ghNDIin5EWoABk8FPptTZLbanCfUxN2eqjH//DtpGuESAK gGsDYjcw8SYMCji/lea2GgGAkWYqw0kS2d7SnTHZQviL89D7OGbxv7SVPPFctwg3fLoXj1PAuO8K rIeTidIfi2m237j1C2FgETX0fETYx8wDtHvltnB6jbUlVYgojUpExLOyDVPio98MKUEw5ajMemIw CmPgcQCVWvEFOug7EAf25WSsANRRqMHMBxIYFDhl4SXnn5ZDRiNI5HfHv9wACuN42ltMJ0GxDWjJ Tgd9tv10cHQgDc5QZwYhfikX47899X2wxga0H/r5FkHWSp3QmHu0DgpwRX6SALlBfwjfGdSCuIIl yKo57F6KHflM+Ny1aKpGlRFhK1g8dBRJlOXy2uR1+o5w1ndZY2XpM8m2CCyQ20HlRxkifZydiKFk dzQ5PUy9wWEO5/psYoDJGDLW+pBQre1KS3GZTHKp1mvwOxOZPilmMinmhsV6egQWTuKGDBvCf/uc XE9vU/+VVQZqapnN5sppfuYbodjtVAowZ4RMDZGpZR2MfGFLf2L17LTxUHUXRNrKuuf4pyMdmiJh LzmFr1fwSXP94iMuvxhv6cC2SF8iT31zDuxeyojVXBybXLw7OKAOmgPDPsEsw5yOO4ODzW2mlBYh tVuP1F1UWpDwm/2rVM6r6hGpm/sECAPonpU8AnQhBxNEi7MWmLmJIMRH/qOnaL/rJmqlxnsx8flp EbYnNc2LhEmnVWSgNZ59Yto2p7AqZCq5a+oIvrTHeaXGTcUxOhpVigarFPl7Rmujvxoq3yLWUVP0 Ml0e0c6vdP5KknsZ7xI3H52GnwkVq89eaP8+aO7LojvcuK6qwZlVsDhFIJI9zp8HbZusnOpTcr53 tQ6TdAR9uMElYtUgRBFhoi5A3Ezz1bWwpPae34VVUOBfK+gTQ1RFnZOFcijlOOmeDolFUj9WOWr4 /uB+KmC6fAaEFuYMtQDAtgANSemOzq79qptGZ1SpuTVI0R2T/jx2sAbqoZGOjhzDm7QwIAHMVLPS 6jf95/Wd631YzmW5lcpHD1fKmQQJzhLhrezM4BvxByamIlV3d6oliNQtfRuNpJ1q/s4c2xj9rrqx lKC/Vx0Hib026P/g42/qzyDnB2VMthPRWluYEukIdJJ3o/wInGIjFWbI1mAqtFNHRrAocowVrAsw KOuZMCHYSNaMLtdr98Ef1tSGhiZ0YgxTdrXNU87gj1qD2NBSfJxNlcU9oA369XRaKYxmNpvIZDqX 8jPgw8L7wk3AArWICiZ19s7S2hZcZKhFOFPmESN6FGpGdvglfqgUdjreekhQczsk6TQBuLop4ILw SeBOkSrHc3Qtrq6mx5b+DMfAWE+TaP2mZTJ8DzAJF3uSoxSPcdUcHD6U6UQpRoavGcP8GupEJAPm k77q9nCEWp2JfbulDkE8ZBNJf8bzyechiFsrsErGGc+TTJ7hEIab2U0tb6Tpxix9lOZIbX25YMLZ RI1c3lfLY3gaWoaaRwgbK6sp/BcpPxSpXxqN/Kv2BlMKGgr2vFJaN+cpw3WBTZH9IlW3YiL5jd09 vkttzKVtM5OCmqiONpPtid5vZWd3TuGM6i5PkzsiTSGJkUGtPjVBegtTpyLO7ywNwUDkWbaK6LXg DfIusUYMQ2fFR3V3jFNwa4mu0GPV0cwPr9myuh8ovBLcoVmD+q+WRNig8g7Ru0FE2z5KXDKp4qPX BvJI3gNrwZ4dHPhexbHfsCfL3fmOZAiVkwO9lfXRgfI46dhY6NK2Nc0WdcZ54QoVWAB7jYgV/yhR G+Pwjbds608ni63e+WB9dkZS9pIjPyxaqer254rXrj062kukHjluYtn5/the60ZPcsnQpflsJjdv 3mKhziZr5Wh5KNVBEw4MR3xzqZJQkTd5qoQVWqo1EfBLEknF1aV0Qj4uZ3s9JUNktBqHLSmWcbNS iXqMMlvLem23pqnZhwpibgFoHcKQjM1sjH6hi9Q6Wa3XUjnsIvlbr6+2BsIhC63L5dnmF6IGxv9P C2x4pDVEAmN+puX9lnSmAf/BsBiiEzNihlaeopHatSa1ATqExjudljKZwkE4Ph3Bk+Mi94RVmQRI 9fu9QMD2Z/SMV9PeILUhmuiTw4SQwVELTiy7RS/QEAdLrrz5XKRvk4aKNxZHKroDQvZ6m2JwjO/K yPq6JpeMVaTVnAC0BP2FjwfzALAh95ML4KeobZA8ohFyUhNzBTiDUgLhb05Be/rFBWtnXS8kb2uZ lnMtAU/a5IZFVZAVwcTqLJe6QobCdh/WEHbgYw+efZSfUHiJCVbbQIrFAigUqUOVNMiDTKKKUVhH QRXwnIMk5vilCOVxXn/8zhS0ojUNMu7k1NUUTFC4FzrDVLiDbm/vpjQNVHp9iptzuq5qWa6OaIag uuvR0VpmXUafl/t9Nget3+mzNOvCmddzb8CC6o7JUsfhPI+8Sw+rB3IdLWjzW6TkIA80+BzcdzD0 kl1Xcz+fb0+wZEKAMZppk6f0fWqeZIVRRyPnzOvpPQFC93HZGUgvbaW5FEDpNDHHlLvZ0lBTsK4q 5tMxEIbNTJBtK8t6IQ2ieVACWj2Qm2OigT4HmmSOSKNqMJMcrAwgTTTtKkOFqdKKjpihaQrMTj7T PqTv7rPumzTZ6/RemorVd8o3BqdQrQKHF34AXMPTmXxcmYdrvGD2dRVYVbuiCqc2q+azkdPbjNgo MYEvQekhrXkGzexoUREgV5VjFmfqrfGyQidNVVoB131MiRk08oAxKo4MqS52UuVEies4TRhm7uSZ 8l649q3Fm8kBGB3nF902na8xonKyj6NP5r1RGuysjr4LbD50DQtNIEqaqPNWAQizUSGyaX4X5J2R IYJrTemNnkZBFSPQmvRL/nq+o0fZ+lr8aRvK07czXatdpfeeINgiClYG+HkyRSADOpLh9bbYhV6B WZjormj0xWpNmIzWRICvzPYLq33bvuL+x421Rie54tDc7IujER9me4g+Kv88cajTb6n8S3qA1VjX Cr72g623GAYCg8EMKWrmsqk1iS9nSVEHs5WNxpZo7CkGDs7FlmF9iLQ1Hxyd65EITEP0IQUhVLiJ mltq66fOv0isZ//bmw/7hRPQfyV+zCieV9HRk73FCcE0Pt/sUZzuZvs6IXhfs+9HxuuULVWNxmsJ JhZ7lDZBy479C4GcMH66iHSjJBifa+Qv03MNJdCiD0K7pC9EjSOvZF0dWdBGv4V6vVpSzCOoT5OW FU8IT3hm5XHPozMGjT4a8HQNJtqDBw+ItUM0eD6ZBa1HjHbo6OhAlqulPHPnGZkWmgMbBKiZfaql AFele2RSAvSJyKWa5RXqizDwEWmKoIz4eqNLBXucWo5qTdqSCLq7W9LDFPccnqf2C/nWUMbMgmGA TPBQ68UVLfLtPjh/FuVPJ+Vff//fGx24D9bvatWUkZZogWN/6bVnyrsyJfNA3wbGb6RdsX34hemX +ppGIuTstfnhz09/MVLx2gboU7Hq0BRgMEi0F2ycoivkzfX3Zdku5Dc+/cfM4fto/aHUUstb7fel qGZSMJysvgcfut1sj1V1ogCLtMTRqdjJM9lz9A3E/sYWDYNscAsm0xFjpTONfK7AXWxDoZqLlhHD 5yAGnErXZAGDtc0kv+xGh23VUFMC71eJE5+0zvTmyk65J5MbEx6Gdb0msyjgI0hDgr8HZk2EyTwd QkshHF5gVgVE262k6JAmZZE9Htb46zEFSBLHqZvWipJvZCe/QQEDYQX4h0JxOtkpd2U2ncqj6qGt 0Xg4+DDiX6RwwfphhsRUI7H6d0SdUSsThJ1YT2CTmHDtIRtEgaDGEBI0oxGozgASsfF58lnYwRZ0 0epArrQYJ5oVO9GmWmV6TwdHl3/l5X8nnuQntN51boomjvG0DFb07g/uwZ2r11VdNQjtjbdv3f/H 4ZLflm/FF0m+iHzANxc/CJ+DqqPXKs3/e3f1DgfsP/vef0g7HpNx2D6S/271XweBgr6jb8rQLnIj uyUzo3uJMZdkIuzfF/PPheeGQEEaCbA2zbCw7RTMaplX87BAgPwGnmm/uiG/ePvPyC/d+ZXw1DCG A0F5nQ19VT+IQjR4itsRy+gZ0jpQbJbVpWuZzyZSElSpEjseNtenJT5u0wN46Gg+5dwk5H1qyQDi oih5L/eeD4kOu/QZGpVrk/2GaCXGWv2JlvMXcgEHzBjB4omVm2PXDMT8eMOTPCqFrgwEXfjfqMEN 1wQ+K/+Ve//GqU2fMcGWCtiN8lghHWbs+m5UKnt0IBVG/+qzf/HkvuEMt2z4oJkN7gM/1t99/2/L m0d/IP/+q3+dp8l/+YO/If/80W/L//SNv2tpB+rLIxaKpqmDTjWcrCRlyK+q5TuPfkt+tPiD4O/T 0LadHfQHGGFIK/Jby98Yvrap1LnkK+3jW9UPw+bNF/pZEFjp4CeTuWHhXnGDmo9IDxPLTZONeDJz tDJyqC8OfJJOdKJsBuqSp6ONU6dsT/061T3t30ArZOvDBZEm9EvfoWDrQXP99WdlekCepqbTqGma RjUtOzEQNmpEUM3DEc6MSzgTXXARiO6BJP/X5cAgL9HZHMo/+Oj3eyRx3pyBwDEQsThCgsfQOwW0 K2gmAnobKSZWlyydgFRhfHb6gk1GvGFqbnqHgQA/KSerr6Ju4np8kc2LOTWrm9Pb/B0mHGzlvYFh XIkAACAASURBVOLWyLBGjXH4N3zyL9/41/umm6U4JaNjz3WCMxVi8Bkqeh0CTp2OUNMZTQPwcDKR W7fvbm4Mr1u38fLXt9mJ2aMg1wRm/FuDLoaBHPV8gNV0tVpxjjS/Lj3JTaidMfT/JDbf8OqjOb1f LoasdCNjE+Pw41EZosOGWCJSJNU+nJoFNMxr03JL+qzcDxr7kZwUaXpOIjx0D/ZdLBc2K2k3PLgV oBCDSwkkjntatcRcyv/iR39DO5WYb0NfS19C90tSpdd6uXbtU0JUtkU7e33niyP4kfS5+sMsN/bN kYigCycgqeEvU+dXP20h+LHyQt5ZvCU/Xr4tv3n/n/Czh9V9eWZyT7796T8JAhNXv777JbkzvZuk 6aSjnmyupD9jeDH9rCB+pgdVcFU8lBKzCXJ4dLzSnKmbKVCb3oKrb9BAEbBQ520hhwdHCmjscinA EZ+hsAGyIvAv6hBqFWs3cRDOforcV6PNg0rDALNvtOMEV+q+454xOiR4I9xEC0JMwsMGQh/CCjTM jfoGywkrKUcBlSLLTRvkLVRZ0NtotaRoHQ2gNxc0P0Fr9N83zD4dFV0fm1Wbyr/18n+b2I02hDTl rKaehSPBZgCkOKpqQDAximBSuZGa5HQ3bt2Q3V2tRgMQ3f2PPqVpAF5mXP/bi38qH6x/ojgNRFIA LgxmdBS/+PHbi3/ae0md0X7U7Z36zXQoelVfouBsZdECKOpiBv1t5Xcf/RY/WwPWIZn8J9/9d3uD M2EE6/j8NghSVnqWk9trO1888Zo/dedXej7Bn9p5XX7u1p/oLxZLa4jq8/VqJZhHaFjYmLPJjtSc 0xiUQERqCQDkdKImSjjdVfuiE/aaqWV0dRki3dHVo8khUfsIPlunRR7xq5xey9K0OB6OrR6sCGAE ktnAAJKpeW1ZD94/JpG3cJpPZEJh5eMfD7l+/7TOQMWivyoY6E5xtHrYboCqIMqOsnJaks0GwZLx x9de1BfV1NT5Tt0Zm4Doof8vHdPUZVTeyoemkN+3s2o6eGwti/pIylzNKT81Ih6llXWxlJuTPdkl B3MmTVFJl9cozSk5ipZKK39u/18LzJqIhsymygOlnbGinTYI/7ZYZdzHaN5HXzQQrP/Lp/+DrHYP 5T/+6f+cE/s3v/sfyCeHH8lfu/UfyQ+q78YUBdcgCQSMJx0+//3Vv5CG/PcDhYp/1zF5v3pXGSbt e0frg7DgfPpw3VETmSP+j/dRmMDt+Ux++c6flZ+79QtBY9FnAFKCY1jhmLloBO66mk6ZCp+8yWUq CsrFe/BQA4NBc6gOYGb8d73K1qyJCGQ4fYbX0H/61VR8Mh277aSqamrsJSmu9XB2E8FTi+DYXh6t 1QxkwVk/aXR+YRqfyjdMuiDIDNU4AbiFMFoj6JPDV6qsDZp3mjFSBm2KDBfgZMuwlzoKKlUMPLJl 1s2IWwFVyVfdUlY4yA0lz3SfbM9eQX+vO+yYSiN0im0wYYLcXFBzT5nYvjGmdAcw61WFIsw5anwK VMBSRv4r9hBdMomz340MjB+9eUHO6SGylQw8RYpj0BQpPgLSTKBevUjWlpOFzvEGvi2NgOjEJqro BbaoUmunQcvyo+r78pK8NHiHXD63+wV5Nf/SwHbVjRiEnuHI/vTeX5CMZo1qo44UjvpO35w2FJ6a 1ib1PPdSIXvcNQxhMxdtUjIfr3MhZVovZhL+IWgqYT6eUFOKoMSykLpG1Apha032Vj1CNzjZJ0pT I66xEYcI4tdWZIFajSsgyUGU2Mh8PqfmAothDYc2mDWAJWqQ2G2gpwypam1gsz1tSxE7riVxT2Qr kUknTX7kMoJaTudazmTN9bJuj1QDojCppK4GBT62+J/Q5fnONOxRzR1WCES4xuzb2UwT17nOzfGP r4FuHHNLVopBw5omjKVBgt+a8BUGshgY0/9wUHWoLo4DgQfeGFfEZtsusBJvjWIiFJmc2uRpUmKK YOgl6A5cPQpoa4n56A3OaHLBxbST1PIunHSa0B0dCwaosygGTyNHadmJCugDfwIWByeR2d09K06R MdExQA1DubPAGuogvbaC6b2SVbakwIq9c2EJ5z1U/1LaygtTJFQ3T1DziteICkKzwkZftitLQG8l A+YHEI/JjDgutmt4BZ07PTwRGKmqRibFlJ+vVrU8XByoxsH1X1CTYdoR0lam2IidrOtNfrXTttl8 Jnfu3lFhQPMLm/iGWXPQSIFbUobbDAwQZo3EpHPzPaX5d8G1o9bBsKmWGIfbfcP0naVBJKTNAFGP ijkWBXcLAFoeagyMj6nRYGNoJyjfBYLKSL2MbpJhhJRWALIuhp6scMCfWmAFv5KrweZ72Lgudbr0 MBzDWEN64360Mf1TdgUkfjdKFQboLkCkQYBA4qe5CSHvKS4Id4x2ObSdWg6P9JTz3Cplr+Dde2+l Jh1UY1XroXFAm9qfwWTGBmCFI6XbcOGWjIwmnbtm6gvxCVWvYOGUChHRTLhSFo9QlgyYLQh0zZKA bL97+zbfh4m415Wj0/OfIurZyCSfyH65H3xs0WRRU1YrxZRSE0t4fk8ifX9zBJWsOqibyyHKbNWP 2cc8jUalL9Ajzwu+6C2R9TFGW+dUc7+bHja5VAR389jWg4fmoSP5tzX8BVaA+rkUEKqmLdDtPNZN 0YGmimTIPv7L6WY273xsfSg69yxxMkKARkEoycPCEMZ0nICp6APU9OUTjU0up1E4Jv3++dt/cvQd nErZhQzNPA8j94BsKkDgUF4v1zKbzNXPBB8N/Es0EZ3Mz9VVrflIgYRKwO1KkBa1P9u37HV1qGvk ZjjGypCBTQLtasXS4c72PVBln5CmsJaM2QS70z0u8vmElRqpldbZWpbVoUaMIBTgk7kG+Ru1jE7K SSGz+VRWCzijRXaKPR4iLkTc2qCyzcyE6NzWg+psL9DfpOnPuhZcm6G6MBAQ3Yajvw8N6LE0nLIf LrS8AV+3PFzRZNMoMD7FvMao5nhLVBUnt7S+qI/N7Re9A8Z4A6+55d7HCKyBxEsqt2yDIsTJt58D 5MMmlf5Ac+CFSIDfUy6tpY73PtJWf/mZ2R8L11Gb9GhkyIlMnfceZhaaMkVbMF1CgywYefNnpXAQ Kmyax0XGiLyVRaOEd0h/SoMNHX0V1UA1N7Ob0JGyP9oXPW7b1uDWCTLfXETbhRXp+aA4QbXfGVwx Vm26CYGEcLhdQ8P0wNWBQBD6u7M7UyK+CnUjVbtSD4eu22h5SFwLrLR0Pu3QqyVr8/BcTCQ3WKfl xYoFfpTpAgGhsIzNvxlxW3HdpM3fYdPXFVlwee88Z4myolxQi+xQ3JdfUWmFKONYsVR9BuO/VrBH 612SSJM5gZErS6OQSIQ3hWgDTnFqgaXqJFlFOyBna/oaYkWNzauH1TmCW6WHVlUVEL4AnLVeOGEs JHzedlyI2bMSPCHb8U8zmUhVL5ME7PgdlhCHQ9wIC8kfxJQajYJgzmpGcvwEUnpgx5voYakCukU0 CdEwqsBahAK+AJ6myKmjugxPJh6VUMciURT0zZMdlgGjwx7j7awajj3bokYHn8bmqIx8soUWenCA hes7OM4BYwHThwplrBnVOFHzEDxkKNSqYFlW9rXoIMzArmmlhC/oGhkb3OG7Wi6kbTJZLRDBBmas /67BtUCNXSNxumbOU2pClyOc7Q8+/ZR1B7lnUWnCU5YCcDv5TqusuNAE92/clBwRVtbcXMvBg4dU YeCLooZrvFbxPdEMD5gQEQTtrCtk/+Y+HfK4bjLdkZ39tXz00UdydIh1ixlDa3jw7pSerjZsykjP ghx1IweHR0rt3dayM5trpSezNnTZWh6h7UdN2h4YNacxCSEpUcZKpe7x1YUDvoYv3q+hHAbMBMJl sncHzNZgscXoxUh6ET9DNrsGFfr4GYs0+tQHSZdJtcbPrAJhwsm41lM/ABf3uLyAT2DOEl8qcFCl BwG1Zuvq7/viFCJv4ESDFox+I71fOJGPe0IynmH++hIlZAFQ8DZaGs38HF5ViL4enKBQq4ytl2ML MjoIZh4ESiXsVEZX3jiViFo1cvDwkDCcMptavucl94fBlk6aCiNnZp/VtHRMYQ+IKg3J9CCkDg8W srO3rySJgf5JYQIIzNCEM/CpuxlCHM7MzQB0djKCppaDhw+lKG/KdAahIrIzB5RpgqCl7M5uKO6Q 9DHRKhh5MQVzQ5iiMvSSMUNCHLBey11AoxwuorCSnnkcgK6bdz5GChmSoqlI+YqHb59As/EHkkAP B928eiiZZnAJC8FV8jTS79Sv5OwCIRoLpm7uVJwW08k8EQRROVQQXo88ltE5hMJZprurWYaeQg3a E/w2KNmNUHCw25WmY7TfQImTvAzpUQDwKXvDeDMzwDqpJoNid1oHNm9oQIlpHh6aZCv4CycnWm8e wzX9VI7wHcmpnQKvk3VrmZa7UmKyW9UwASWB1qDatNrSWAfQ1nlAIHeO62J7MZPLbQnfWpvJ7u4+ zXxWL7pkPKsOIw45gKsBrJ0yMwCb3GE+KfVK067J815mpazhB0Xpt0LTnVADcb67I+vFilFOCiyy I1jEjdQxMavCTVF3c1BolJlUzZJr2+FG0NZgwmNfsTCK0TCxUlSCk0qbFltBwYiSAk6ZO+wZEJbc l9Ha0YMrXXPb6xuOCixXhTXPrZWitIKQW00LDxIOHGdJlgxDmea/Cr6Nx26mzjoagXl6lq9HnIyC O6GOAk+yblbyVv3DXv/0X6+zFrUGHUALFAxOEi9FX05gCsEkhDnZmGkHFT2TKbLtfVKPi6cE/x4E V06Bd5ymAXiAmq2NdDk4vzsC/DpKrDgm3qjEh1dzJ8HQenTbPPEf2L3CGLlPJPbc/tFq1O0Ep39N s6HIZjEvLWtlsjOhCaM+PvVjgnwOAFietDABLtOJeWyzQJAdbtR2LL/0vH6pc3aDa9BzCANFD9E0 VguwbrXAKiqEw9xeV7Kzq+OKPXDj5r58vFoxGDRhmo1SV/vhRkFVq2/O06MgHD1rBRRBOGc131M7 xRL14L8T9zV1w0oTGy0Ay7mWNQfQiv8Q7KZVovqHZgjKBUap8V2wRcPSS6EisgPg5DFNY9u6ionN /VmIWTWd8vAAy3VhVT9Ng4GmgyhaowVGmaQDrWkKDJBpfvh/4qzGWuS+dnNQfVXm3By4KDERmAYw Q86nc32iFQ04PFhJBpU83DlhrxjpvqrXqs16xOk43BhxTUUmS4AYV4qex6KEluU3dU0frUrUhJBk mqhK8cd4ssR1ZIcBX2QQdQpMGOqbm86LUIhTU3NU61WckKn90CbN50MfZhDAypF0XU2ZNsGmCxoc zXW8qkZPjiGClO3MYDNYFwjRGzsn6x0KLBUoDhBhuSwOFzKblzKb7XCTl2UuN2/dkEefHqimlrhp COVsbI/QikSu50SKWfRL4xldVqmIoamSyXJxRN54plXhuVBcgLoPWK4ReJKnLKU+ZSuNl4K5acba CdlXdiwYd1qBpawBUcB49Y3jzkAViiPOocCGqJJcGSgvqo4eJkGFFTBKGGQA3bTEUursjz8jlcD5 qX+8fEs+Wn9AVXjDP5Romr0n2oZWd3yhxHVeBJWpYBqmTyp+bxHyMQ9NhawLqi0Or8Rk29ndlQmc wl1B2GrbmiM+qEjmH8EiDA7M+H4hGho+Typ/W+oFBXUIpdu79gPrNkYTzUODpoRzuK2kMb8UUkuw 8eh+hXOeaSf6Xf4eFvLQRL3KplqeMh2orwU6DtJybFGn4jumbYUxcO72vkA/jcLo60jHX7UOxQKa sKdmpI72ulkbqly/RfT9ai2Hjw5lMpmFFCJoskfTXNbLJc1z1WCBOgdRn8KI8F3F8g216U7KGYj9 nIJG05Swn+DHwoFP68IK1mxdqdwjKjfcb+xOmxA59Oi5USz1IR4+OscJLI9omXCp6hUHDCoo7NaT uH7ihtAYARoBkVbXDFEkPU5U4T3T6nRHDPpheU7QTKhVcUNCUJnfqNvM4+oJIfUW8X3W7VqqVoF/ Y+8yVFWTK2KFkWCM+++mEuM0oe/OVG/TzMhxjnp9XSXlWMLnYOH3hsE+LpHD1UsDUULAi2gwfw8X D2Q6gXY6ZboKT2iEtnsASyuf1rWym0PT3JWuyuRocSgHslT9v0FfZ+GQQG4lDxKGuA3dzgjb9aUY +TvRQYwiD82BtHUme/kNKQVkhMZ26f6fUOrP3gcEhox8eqAFF6hLIUCntzjD6DYz0US/H7FdysNm NrjlLdbcNiWKRjAtSzVX7M3FoyOZzQ9ldx95gCDsE9m7sS+f1p/IujkiUy78t0gtInEB0Oxked0M 0qybhdzYfUYkR5QRn2jKDjKQ6CvNWy2AQdPQqlqPURsFjKDjNxO/QuLCoRkMv++AoYT1TnlEFscI LKrsUehAc8HGY5lq2qRnB8ah4bvuT3IWxdPyBIWWhPZ46iABtFb1FhAJTILjVPykGm/Dz0e0p14i pj0zoYA50bSAjc6afND4AJFsKBiBZVGUtxZKhcoOFf5JazgIphOlz4XTFO+um89O5IGv3tV+vNuN /Ruyv7fHRbhaLazklVEhP6HN5xjr9Jk7txlpe/DJATnVGW4PLkHPHdVwfOoqVM1I1zm4zKIplAjm s7TEV+yR9ZgZ0rmPRVHys5k8Ongk5XQq0ynWVibz+Y4888w9RvwwD1iDsCLqbq1uni2+aBS1hfal gatOqnXFVDGm5TDfMikb5pQ68vhNA1zRHRP+G0Hp9ExCqoIkY4MUhfmm6uFJNBljeAn7C81KlZjR mbcNK7W9mTSn+q0+D0rmhEpWnXVR4JyMyI827i/t/Kq+f1JfzdZEeLEQAh7cJ21cuLZIAQpFAw4J zvG9/T31p2mNK+37hQUfLq4RKmV0xmSE8MMRp7JdE+dOB4l0KJalS99IrgIMqHxP1D7zIXVFzVNZ EBCCsMErAXSveDQ3iM01n5r31KD1Rx7swBm5fyjdDGO77tR9i7xhjNJ30TIh9gtlr+CA72o5fHQg 0ztT9cF1yAFEjuIzZEVhHw0XqPcd75BSM+Pw10huva6pKOPAgaPexyLEbS5qShnkioc3/JpbYQ2+ kPwLGmFT9DXpWkNNs+NaDL2mliOzwNs1Ud7KRoqw6Hk3qQorCFRMAqkmoAmY2enm7HGCcGPT2K+3 82f61yQbLGpZ/a9uRkR1gc9mE1l10KjAIYTkT/gbZqx+ok5nKz7pkfQnrMYVI6SAVwTnLD+NCeBp 41y676XvH9NgB9aPnsi6vlRLf5Jkl4fvkYayWBzJ0cHCqiFrtNcLoqLCj5vCmobjGr/5M+FDotaP Ihv63ucFRAfNBQILrhSDvHQ0Bb04RGTsLLopU8QePXoku3t7SpzIPY3AU0Kq2fO9bTaNuSjrLfF1 LCoykRYHUF4nWMRw9bneb+O5NkyuIKgL5RgcVnwhdWIrm0Lkg45vc8xTx1ahRT8UxxWR4Mc5lo9t JkxVC1DHoUd00vzE9J16XwciuFtspiUkkAzHprimNRrapkDrm438Oc9ktjOTKRKaNQktaGoZYAdD YrjIzPYEtTQNiZ6L6FgeObgIuWI02bXoXJYrzXWMUBgXZkBIb/fRXUdzUx/raLVcM1Ebjmu896pD 0WCg8aFFakVnTyuNa8Ypwh33BGyU3luvs6KqZ+mTgTvRyM9O4sM+hXnI+6OmNZFpmRH4iqrtINIE LY5HvbUv0d3TwzwlzVlZgFtcr9ayPFroHJIdwi3J6Me8MKHVL7sZcXEjrWcSaj1ChQZoMYG07pjN 0saN1NHYV5wiH/xkMuVkK+ZD1dyzLlenn3WwGwYRHD2a8hJtel0g2++uFXIOBtqWq9iqua3WoM1Q O18JDF0AaoRE42bxv+CMdeiERXnyWv0cWtdNMT2exaVAOd3QT1oLEAx7p0iPPVQxfdgVDIwDhCXq 4aA2MKAKqSyYS/q1sxckO8klsdmij6JHu7Ltai+GgAwNeoQLcl9VxYLrF0j+pq5kXiibri4Ot0gU YITvQxBoEEj9VwqYPk9EPPFftQh8YS1hHXnpsM3E6byYCOTsqlnIp598Ivs39k1ouQBMkjS2BXY6 UOqs5PDwgHsA1EdIXgevlbp90hxbHYez7WX93rgHyXRVVfO2wKRMYOmEAoeCpEZwFs1EOi1bHZkU 4s9+vfuo6motObD7SaVbknS10Ko0KqGMgwl7wWleNXk2jHYSpvGEsBC7R5h6PgP9FaH2PmI7idqY iRK0p0xkUR3I4QLsAYj6aFJppN0wTQnPD10bx0ulTsPx66Del3L7xm3Zm+89QbqGNhwIEDDrypKa U+ydOWOJ+SlyJtsy1xI+Dk6G1e6lduU+Cd1kWhzBGEfP1MzJDYFvvj8W+NxyL6X/sUqNzJoCRQrS WcDQN349DxkIhmkph4eHjBRijd3avc3IWjWtWNy06hbG1mDrA3CBrpKpaEFY8EYtVqAbUhoddbrD hzSeg3tsY+BL17AmLIfwpP45eXdkEjCXtZvIbonk7VoefHwo76/e41y6Wa77IQq9YQODKCKPENLT ya5i5fh8aMxqEqZO97M2hThoFgR3IXykWEPMokkCUCHx2yr+OAEmrLVE+yTmAhsbNBupT6s3jraA oa0Au4JGbcFSLwaRevpylHwsggmHuUPJHG00ClwTGiy8itsUmoumgnPzPmF/GfjNOY1UE44CbtEc yapdMuIInAo+hrPS8/90cW6DGKQnXLdVGxhGHllVxgnrntCWJoB7gzlHXn8CF7GZ1ORl9mTQOnRh Yc4LgGvNmToU4mfRovQzZ2WFALCgC3G249cTRY+EdLAwUAAjTG9wgS3NI25eSEUd6UgrUcJE/M2v c40TflmWjLdULMBV8M7Q1AELoaB4jBMpHJgniLvcHEsKQgbXmMjeZFcmRSvTcqqMnwEUiOHUINVG M3Bn2COnmLfHascE69gdo2eHeep7vQxEWcBeVdi0iF5Zye2NqIKquKGqLNGywKPAxt3Mf4M8Xa0O ZbFcBvxUsP/HuhnCUNEnpbUBzQ43ilYuqoA/37wT5DKSQCF8gAJ2/wuu3yv2ZW5VeB42D+SwQZUX nUxfrO40Pnast0zi8PPUN8a+GV2JZt1fnOPyolrqB0zHd7laycOHj2RWzkIpdmKISH2rVwdfF4WE FkS4efNmEADHmXbbxs2FA32LwAV1Del5NeF6/F7o485sd8DFv+XgMW1B091KmU6Kno8Iz8e62N/f j99x8CutDr9OE7kh0LE/JhOtdh58TedogTzwhOsywz5in0BYMs0M5im48ZCnmji1LRd6dN84o2hf s77IlPSkMldwjQ/J+yJUBnt2uV7J8mjJM4s5l/otrY/nOBLnvtIbR+eyJkPXFFZoJf1ThYFM+bgN yAIXVlfLZDaTDBNqqQ8nSe2+lqJRGaDK+UIJM0FSSSw0wP27Zs28wul0x1R4zZ9C4qjDIEIgIrUq /UQZyY1Mx+OkPg+v05p9Xt7caZLHYxXX2Tyk7Rs59dmUxUzm031Lq3GT2jiYwibXCVlWC/pB0nE4 LiCCNrYmcEBy3AoUbC3k4/sHcrQ4oGN8zJmNzbo8XBOLpKksoPOtkvy40bdOzo2IBUJzM9YPM2r6 lj2QjpkeRCW1MQhU1eiSoNUZm/tscb+T1LTOC6e0nRwtjtR1gso4AEbX0Poq86lZsZCteISMtDpK reMH1wVzlSVaiaP5g7/KM0s8GR5rDJp6h8MPlo/VVcffqDHlCtv3QRgOCgQanJGYvOkEkRRI8SaR zP0+0SRgGoHW5aNyfwIWJAzdwLbU3x1vpUh3jXiMfJeccS2ZElUF9jXp6Sj8X/7MmodpVAKL75gT 38fiJCzZ2Pihqaagz3nShBVa0P4GA6satWXro5QXgJL0Mqh/Mfo29HtYXFgrqaZw0iE16iawcV7V S3lwuJTVeiGT2ZT+Jq8mPby+hrCEWVb28T3HvHUvYDMED0eSPb/OoQLRZArsBrRONLqH6Ph5G/eK uyS2JdZZoxKAfMOmldWykiKbKEo8mzLbgDhIrjdouboLxuaiatb0L8GE7NFCywW3aLDFqPnADZ1G cAkbYZANGpZVY9Hy1kYj043lFqrJCDUfyHLf9D1UeJJZG37i7ZO45SmxKan2EdXq9CR33uexBalV WrwidSwdnxZ2Tc6NhHaDv5ICZTAGI36ps/piQr9DAYHLZVo9XzNYB3MJ9RPdkDjQiOqzAKImMlPw OnWMV0GyZTaMzuFwQ4LtmKQOZqWBb318WWcv62RxdCTrZs1cUSA7Q52BQfPKTg8OHsqtvVsaUXbA skPz0w3jLKLho6RQqVkIvqn4bhyEaK7qsjeAZ1eGvyse67xzoLWuTguwbkOUnnXpZFrOiM1iMjWr 8DiUJiEjGLnPQhBsGO6nCF61X8/dRt/EBUVvXmw10CcHfy8UIkhe5AKT+AsObKSSaN6gh2U5GExR gLBaSokkSxD5DeADLqwiMjjZ3EHxsyx9C4324mbhXsiYVfXbfRcKPhxsdqpWrq2NjCD7oynOTLFw EJ8VEFAV3nMaNerke0tPTMuD3KIRnAmcmnzH0zU8NTKYW9fUhhgdNLCFMhxvjLCelY/M/sX6SOrs gCf4Xr5LVgqP07qZ6xAfRt3mVm8Q71yUslg+kgcHn44KaT8wVFPRCBu0hc+99Dl1ZDdrKUpEstXs A/xgFCABorndPQY2FusF/Zh6XrWyrpeJ1hL9U6mmRk2wFbJwgLc95LMRAW/RQTi2C2VZJUc/oFcs ZaV5g0xpAhstt5IW3ThrQxI5TGBdu8dT3XT8uxH0MevcdQf1MyocIXoat6lMgPHUJBGwA8MKUQBA mnuyurkDNWd9s6zYcU2vNV8mhb8eCwzkWOd4OGqatOVTarSQBnYuUmpNMnSyILd16iR2NX+9RlgY KRfjR0YYrP6HQQvCy9IWJSZF3eWxBHwU91qRBAvAi1XECJNfy2XKDW+DFSrd+Mmh1XM5tIxaKQAA IABJREFUyIbdDNxMzMvCIhv09YnTcq6mjUU3UeZKKZlTaEcuu/NdbsS6quTocCnTbMJkXI/lbNx7 zIxG2SiEzGebuYUxV1XNfjr1WzdPTZOzcmi2Ckbfyd9DkdIO/u3kaHkkB8uHQYNwU8+1d/UxAqaD dVNIcUdr8Y0PnBf7jKwWEf7j5kHqrzlHu45zrDMPymVX495QeOK/23QQbyWEFRI+gTdhgYSg2egi wgbH6TQji2EsBbTRh8Ti8+gKJhKYDvgy1ssqgs5YJSN0N4mVaR07Dhr5ibRKjIPv8FzkfDksgL6F MXWVxJaFpgN5pnng39mMZqo2+WSlyFxFc42VaHWAhhkg6Zim4ppGdLojqXYu7XRCRLjmnW7J1ufN 01JuZsKZ/3HcZPZ5SAGOrTw4uE8/2bqqZDqDEMlZKip1EYy9l3cCib9EducgogR0AQwURiudFhYh 75nSDJMf/eihTIMWHptGrRVTSAhFMWG9g+SCKDTNojhPU3yYmpdX5ets6YvuB8RSVtKLaD1opN1W XQDph9sfRw0LTcGYMf3CgZU4UdUJpyfuaOQsGgWxMwYqnU1mMr+zE3FdXsjBIoXqH3Eyf41A6oKy arjdmlgXNw1dfQcuZmeyE7S+YI7Sp6IZ7uSfdjpj+un8FNQF9bB+IIe1It//qLVgXhNypilPGHv4 MJXCxKmt3Sfn5qMChUHyHUzKMQ3LKs6wBX9d4u8cab7R8TU8F3PscBQwWxD8GfpxHCuHCor1GlAM DSBgLbGUmOc8MtJsvjpuViTpaz3FybSgSUac4bjVGQI1WN8wBxlFHASUzstmwLtwD5w/H/E8jeBe FjfVjA1aX3QXQSZcQFZGN+7rVfdMvMSOkNFblIimcJEa41x0tKojngA5mgdnVBGJhi5jlrlx8Cj4 q9TUjfRyLmhsGnD3dFJOSzlaHcq6AreSBVdNawN6dzqdqz8t+F4tasObEdmqQpEnLMjl1Ex4cf6y 3Crv9Lr65Dm+r65pBEyTdukjQI5mktXgjchj90cZayxSWRSDt3lfn6v+7xHbtNn6wQqsPfhwghYY Il2qHR0HjSAiuiyJcEfki+SDzGnVA4y9YkaN+3cUhY8yGkyqBwMIBmMbK46h7Ztay68PKb/TYMWp szoGjZWme9+7fH8nx9kiBYz+k2I8glcv6Ckb6EkeJN5OCM6VWBhwTMbcp5gjRb4pOMAHhtv2rqTP tRcNIGVbvAlyud+lTqqVmhrwc3j57eANT65GtBKpEuoqSPoUtElwqk/k1v5tS8D1aE4SHkruqECG furDpTZ3cQSeyhhZvfwu2GxmMX9SI4DKfqGZAR7a7/sytVaeB068AtE2H5a5FpI3i6DFzaY+JT9x Ncqma8+juzG5/XhYiWoGgOdAaNFsK0sm9VMQN1GQsgA3fVfAIBpLJv2tRrU0end3magZCX+r/gH9 MiaOFKl5rllNSnyln52iPc7Z62ONYAKDLYzSlpJDifC7P+4CHQGNO+Zv4/YeQbTv2GECZzuOEjiW 4K/yMulx4tXs6kMLhi/q4EKVL+rbUI0qFoEM/q+EqMtRw0g6ZmGHEotUF29MbbAEYhbE0ETP4xr6 vYLfTNYyzUHrEpG7XizSe/7C5CXJ8P5A6qsPP6QCXWRz3yCBMQJNEilBpUxLIKg1F0wx4yd4Hbc0 OqYTFglnWXDTSQWU+qjQNK1KaVGAygYYNPoA+8543o3fNZMKvkRWArK8tFG5gRNaGSfxL9JlFuA5 2vpu0fz0gzNAV2zFupCKhUdHR8JogSNI1as1O+tAeFHz3WmEWxsiVIoZHH9G+vVw0CDaaGUvL66l viRPu8m2Lg28H/J3PQJ61ggen9K2sl4bgy+CI8RkKtO8QU5D7QCN5LF6gncx6flIN4c+KqbrmQvK /haT52GVgTtepDbyVWp/tNpg7iU3c/oP+DPS0l0n7d94kg5GMbxE/wa+iZgJb/xb6mBHqo9VoEVl kBqCE/4HmJfFsSH5/r0V4TwtFOCKBl/WWIs19i7PNkxZW12vQuR0vV4qCJIajOGbzmNCJJoDG8uU RCGg+XdGeQuMEMdaD4Kzt1P0z/yNmF9Pc+prucPLT6lBnEgm2S90cNb7P1ZLTUH+ft71lESPrrDl QJJPJ7Kzs2Nz5tWmIVQsq8GQ2G7dBD431y2C/y5x0oQgfrTVPLUuxUb2ghV+ExajiulTJRyGerFp NIQLKNRB0xHcnxFDwGONfo1ebbHQi6RD9qdQGVmFFZpvIPdx4F6oSoPvrOsVk1j1uwkcYkvzxcoi sM5b5eZlLwqVMGpGZEQy3BfXouNaTV349hCNA+MBtB113hayBrbpHCFlLXRrgQyKP9WUIAQ1Eqy0 J57kq4IqFpo4y37ujcwxw8SoLvjIS0TmDAh5zH1PC5Q83tm+yQF1lY7r3nODOXjG9dSNEAlcQWuD EzwWdA0CBkoEM9z8XSJPWthXehMTXqbphfcYhOaSAi/pa9Ky8rJklJFmHtt3SzjG6TugNgWzULEo oeMJ4mW7kIj5QH4FTtaw/cNCVASvA9k0IghqWuQkasltl674jzQX06kcrg7l8OgwudfJiztUZIGG YZn7/8/R3x/tu9dss1EMWublncqK5gYYE8r2cnUkDdKiJqrRnl3DskIFVpASYsFzQ900Il2x0Ulj YXohDn77NO/pxRjwc3IwbRZBi42J8YlWO5ZKE97gzLTZ29vQx3Ul2lVo8VAPa/48jp+e3/Zq+p/5 0yy5PfQf7A4t3EVROyKglRjLEQvHrnOMpWtZrLYzuFx9gV6/0/JNA9wGINycMCaFpxSgSI7Rl6CS maNVCeaiw3Q7HiNBudv8MIKyhfOP+hqLtILJsQyO8XSiKTSNhUVZHjdNyuOanuaKHPX3QhRo2A/z HPd8McdhfM7bUtNa01ZMdhs9L5LKie8t1el9xrsL3A3QKKt1FFKe2wbBoch9v7eVaTrne55GsODe TKsxDrOYe3fyPc8615vPjn6wsftdXusnTp9X/kYXRTzjr8I6zKzmgPtBoz6sh1LVap0CnlesYOV/ tf81basnCwKURXm7SEQwphEHfcFTkpRvjNYe6oq3K2ZYkNPdmQTYSfM9OAbEv3yWhe24nm5DYlmK DpOoKzrYWWXEpEVwtPpL+glOSERCpneaPiRqKq3ukao/oCrxUPaYMXjRp742T/ZUHwFur5pWRYBt jjTIaf+Zx2m2LnQWi6Xe3bmcgKszbF089SMBW/8AOr3/SJexaw7HvK/R9VS2DoChOsmUS981ZEAk 2nT8/nF91lp6LL5g36fgRsL+tFcb7UJbrzfJXJ+uJXskuDAikDZoW934V9PRiGGbhGXhlFMcwa6e cK0DOJ1p8VREkwl1gvebJHx+wtvzzJyLySt9Pi3w2e3kM723B+WHPq9k6LDO4N+FtQYabvigA0Wy l8+CZgTNfWLOai++eJycCIIpQblrwrMXNFXifvis1gCDWkY4T+CEI3von/KBJ4jO+uIRrDQdYrRx gVuVGouyoL2++0V5bva8i9UQpfDgWizyenHCKh0nz9HSvC+NCyIHHWyVbQeeJ43eacENdXAyKEEf IVRn1UwddkLNDLQ5+VRTShxD5Or1Rmjcx6wwP2WkcsZjUXfOKT/SrzWk4S3MiW7Ch6vMkqAHwoZs GZZAzWrPwHuZuA7Zh2lqEGKOJKUCzk5kcXjE0uyIVoETCek80525ps6ALK/FmIzPP97r+WdelBzr D+NU1PLhR+8z6rU5p4h8KrQh+FjdgbwlTwRRUvXxWCQ21UYyeIkR7dL3waEMtoTRxkge0Pslo64T MKV2iL1C2zbGzWBW4lnK+slgJ7ivulqmc7CEFnJ0tGCuI96jKlbS5I3krCOgOZCsh2kl4knZYz+r EqAxQFaiItuEUjEpWWNLquTp/szqgWpOoUbxoxaL+cNBoe6UQeXmsJ89jUmrWXvFc0ZmnQAU48rU vIY+M7iF4LbC96pVjeRnHUx3S6TkdWfSMHrOda+QCxyXSlQ4lrXkUKaMD15OqLdoL84Q26YDcLM5 7kpEdrPd3ul0xX7OIOTxL3I5O7IL9HuhNNSVrLKVljmDA9uSRymowBCbqNqn1UKxmXzDQfFmNwis jKstDa2TK4x+LET/1io0zFfoQr5LT2r6I5FpYIVDrMCsl4zi64d1A8YBAlpIPAcBffPmDdnd2ZX7 Dx9KZTX1uD5LgFfH3wnPgcDC+CiOC5vENszIomCAwipdMzoO1t30EA5LO3I28Vs8kCOzRExJw/MV +6XsFYZXG1lZqlFoelnJfEmkR+lhRt8QtBkOqB5cGXDSTE4uaF6hfuTh4oD7CT+DzQIaCUvOt6CZ QV6uuggYhQcLKvoNWmIThIFvjOkFygaMRyOzQH3bkKfGhVfVslgeyc7Oruzt7hLbhs/wHJAW+p5O 5yK8qFsD5qTmWqAgD6WNOeYoi7fu1mo6OvSBSoualGVqGrAIKHl8PG/wNALLIgt+4IYERl2xIPfz CBFeSB2/juvq5y1dpKchVTd18KI4Sk2+V8pX5Ulo1LSAiWsVrJsORtgQvBCZB6UUU6Uy0chuyioZ v3gcB5UufMM0QeAQL5fhjOlrWB7pMTMSmx84JRRlULoV3VBY74SiWKBmf7Yv08lclutDzgOFcDUG iDQBlwAylWMNv2nhWV2byvuE52kGxvZGng5DZzukYwy979ouFCWu/UZYi282nQfTxoY8Oo9NyLkA ZpHYxAQKVE2odBMqIB/fzLun6UK5ulM0VQhCJJpoteHa4MrAmOP5v/fd35PbN2/K66+9JuU0kxs3 d0mWqUzAOk7Mo0UgBi+Y+MR4L9yTdErQBqeqeWEE85ykBzDF8rKUDz74QN599z25ffuW/OE7fyjP PPOMvPHGG/LNb35TvvLGV+XunbuyXsAMN8aBEbkRLFxjHqZWSw3NXUEi09lUbt66QaZgX2/uQ+Pa D3oNO68v2Ms+P0Fe+YSEsla8nWoA8FOB3RD+FI0EasFNVS1j1vxFt9R5n2pNqQvkzG6GS2l6+pNK yaKTOtdxbNynUNopWnBR6Qnf1u5rxGlYn2k8tTgBKKxXGlHkKWtJwC6rAk+YFigAHAJCKL+hpgfT RwinSM3HWB2Z5o0JDC5LVMSuGlk26ryNwFD+pqLAaV+kZF4b6VryQparVhPog1liC334Yrgn5QY0 NjWfcS0yH5ZH+twQieUBr0KXZjUpkmdy68YtEzbRxA3CzuhlHHoAYrnIJqswDqVLjlXOjwNw4hVB nbNcHlrfUXQBwkkJNUM5Obs4p3aimL0d2dOxmuSyXC/k6OBIta3dqXznd39bfvt3viOvvfY6D8CX X3pJbt2+Ld/5znfk6z/7dZqQsHp+/dd/Xap1LTdv3ZSXX3xJfvZnvy7vvfseI/ivvfqqLJcrAbnG e++/Jzdu7suXvvwl1j/86KOPKLj+z//r78vh0ZH8hX/pz0sL8DW1Y5/PfgDLi2FAI0ODQPXItbuf 5nNAboTFQFB5WvcHEAWmJaYTwXwyK2cVTYL4wK2Djg2QZLbrqQ2QF6pvAEvlHUqYHPWo3VgQFyPA kv4mps0weLA96nlVLakmbASDqp7H/AUNgkSEeF1Z1WjjDEN+H9NKRgp7HFdEA8m9uOXiaBHSUcg7 BdPQi+/Z/NOBPlnIzfymUsrQFAKrhhb5jA7A5BhtgVJWqIUL4Nl0R25TFYv9iOvBNCIz20opKCRx 2u+Alz8FKfYKbvYbNIP5nmoY1EIomHO5c+tuMF01f1KFGQUqTDEUDUXYnBVctOJOODiSvjpi3tPO oCEoXAPPAUFhrTU9tznJ09nvOm7QF158Tjeto36syIvOcWKWdmq8OwYKZtM/++fKtnLz1i25d+85 3vP73/ueHBweyl/9q3+VAurDDz/iYQPBgt+fffZZ9v+ll16UTz/+RH71135Nvva1r8nf+3t/T97/ 4H15+8d/KM8/+5yUs1J2810K39u3b8s//If/UN5++23y9H/1q1+Ve/fuUbuCkJvMSq0YBH/U0Okf 454UtMAaepYL06YEznQ1rbEeH3z6QJoamrya9KvFitFvCOPodLeNgQ+jrT5WiGI46ubgTsCOHpFC yaAin0ZHfKLlcHFaykSMXp3U3Am6eW3PtLQwxdBvEORVN/LZdbUQsPCQlm669DVTYeRmHjecOTeZ PDpSZOH4qFy8ZlrM6XSH898FhpufLrAOu4fkVeeBZnKK+9TsJfYlmWBWDqbPSZk3PQl+BxQxIwOu fkUt6USCPDpglX4ZVbPpvDZKZtZYcA1pc0CdXU464glRQafRSjr6IDr1A/mAp7GYv8b9TsS0JZp6 7wlOuW1OK918npNY08dD2EiyVYdvq8OroGHkxXbwu3mObWd5vW619JZtRyGMPs7mu/QPYl7A3b44 vC+z+Uw+uf8pk5hv3NiX1Qr88pW8++6P5e7dZ+RLX/qCLBYHcvDokXz5Sz9NYs6d+VRmk0JefPF5 efPNHzGa+vnXPm/YPtRFKOXll1+Wv/yX/7K8++678u1vf1s+/PBD+Yt/8d/sESLu39xL9rOFVnoH qc6tuwWYi2n/utUD6iI41/d3bugawhhJJ5NMZJ7tQGDpiQ7nGdVYq9DcJtLcIwOOz/LwNv4jbUtX SQYGytRn5DlG/z97bxps2XWdh607T+++sV/P84Cx0ZgaEEASJAGJFEgKNGMrssRElmyJrpRS5bii /HCFLkepDJVUOUnZUblUZSsVpxLJkkJLjAYSFMARIEEBJEDMAIFGd6O70fMb7jynvm+tdc6+9937 emA3BpY32ejX77177zn77L32Wt/61rcSSidQjyo+ST2T4BttPbxMYRp1DQOF2shDajVbPGW0lxmy IQPJZfKSzkMZQsMq9I97ofGs7M/dFOElEbDK09ZPLj+93kXPKwC2XXhOW5Kb7A401CkdECYpvDh8 5L0Ml0IozrBoAjjdR9YIrjbqM5mToqZIBK5Hfo+tBcwsNleq4L/j6pzOo9H5JPAKiCXZl14bls36 85F4aHLDY+Y2qke1g8YCRDWM5sH4rUS3NPagiY03HVcDlCdS20KOnxlgTzogNNO51AMF2U7OuYVk fujy9X3gtWiDhlDWDn0D80NKidNO1LYrsbbfQQis9ZwMTyGz1OnwmTPDFxlOIebEVgwMH9PS73al CfnoVlNpQtm0bNy4QY4dOybnzp0llICwcGlpicbmvvvul0e/+hW58cYb2aijXmtwv7RaXdm7d598 +f/7stx0w40yVZySpfPL0u/2RGZS8v3vf1/27z8gBw7cQF20V155RXo9xbjazZYsX1jmtcVS5KPN aw2ps8NW51EkW8jKho2bJMESQc3ma7RmVS/w1Fs9HqqA4KJGqqHB0Gy4ucOWPgTghy6w+nOvJULM rmnJRHQyAezTGUbGIxmFKwGJz8iT4brVXoCTziPnFikI6R6bTwBwlPLMjJacIAQBqQ3ZLv6KuurY WK2BNkXQsqCBVLsVLjgvW3k/DM2shdmp9UO76HXMdg+oX1St1GzTjZ9PHkUE99NkH6cyyJzG4o1r 3huufHsg1eWqNKoN9rqj9DB6Q0aFsPY8sPlQUA1vbUQKZlzY+n4evic8hR8e1o41xv82sQDMaZjs MGM1vHuDg9008NlkAckoLgDFeLWvY2ywBBSDDOgFSLxore3s9Lx8+9vflm9+81u8ll/8O78o27bt lAsXluRrX3uc2NUtNx+UkydP8P23btnGwxB/4/23bt0mhWKRb18qFWX79u2y/8B+qdUa2pCGdJuE 7Nt3gzz7w2fl+PG3pVqtyv79+yWfK8jevfulUq3Jrp17pF0HZWm9LtsBk8CbXjAzHNbAxtOGL+lB BvMXd342SWJ9AN5DzrqFwD1OQ++5E/+uqUhSJxtqjgH/h+C9MZ2hRTRMXdATKiBprI3TxiwcxR3s PSIDGHt9FCAEttL3ezAZEnsPGlXcsBnd7qAnL1dflDROQ9tU4cZ614Y7q/GWX9MAQjsAD/eKHB2a uVJuVrvVUU1y18UeO3B6pyWTVoBbnQTzJkYvMZGQ6dwM55B6ZV3QLBo6v552thpG6o+lIKms4opa XH+5Gef3z/B5jg0uwlUzYkESzA97zAuwxAzln8MWaesPLUoHj8Deb72DM2lOATXj+wydbr/tdrnr jrtMC19/rdPsysGbbpM7Dt5JhwKJjp3bdsnuHXt4OH/hH/xDflKr0ZHf/Ae/yesEyP3d739XCvm8 TJdnJdF3z0D5T9s2bZMdn97O/pRwDLBOqqsNeeDDH9PPbCH8V9qQe5RjZjWoflE7Y2DCxFvGtRMH tXUYGCzVIXLX1YFzGH2oNcL9A+lTnwXVz3Qz9fvaySTw0oAZgAtCGRhvoknAzbJRJhcThYUc68hh RFX+sdegFP6Y48JW4SCqWMoeYSpwAaSd8FvdfkNF3BLe8UcnkFr12FSgiL0nQ++boKu7/jHMy//C QGSGrnvNW2imCovTEicg+yFkUAd5jNdk2k19ptHVY15veyE0AQgO0B1cGQ+bEU6wvMqVOxNdqbeq pAdkiqrEySv4gBksP8BUhlsxKuXwuQcU3xMpEaKQCoFyRig4wJVDNznVHivv6mcG6MCYkcRmxFLt QDdOqMTbaXWk1WtFoSZ7QSY1KdNrw+O2Uq0eDg0Y1T75WK6F1kq2+eyQHf3QfR+SbD7HciqQQHEt uq+S0gFlgZFxQjqWsOEBx+SGKRbz+v0EXhuER0RV72dpf7BDh1rVBwPZUv8Z9bA4bdGEDTdQ7Q06 0m6BrNiTTD4rM6UFZjXYB40nf5eTh3ALrb+CS+N/aTTQqp7Fx3iYSaZgwcMw5pFDJoZTjF/UccgK Axq2WdLXsewGgGe/I922EVRTCclwkalGvHp/RhOI3lfkvuLH3i/RYIzhhGUqtjDQ0WTihUbzp1gk RddIK1CsZa0pinWy/DAIy7PGDfwIHjZPOUhPA1RmCKRdtrExyJOhjr6estECXafo+f08yEni5le6 Qq1Z5TyDVsCBjWp7AfOuTPoghPPeBJfUdVc88lKVUj162ihXyXDu4dUoV0k7oYOekMvlTdoY+KHR BiARja7uLlgIwiezmaDJJPm1Nm3JSLepX7uGHfYUeXS2PlQM0ehPgITaSr9otbRfqUdm404/5Qt7 BGFREAnL66w7S2yQ8qN1AQEzOTrbtS04+CH5QlamZkqSJs5hKV97ItogFa3BhjOJMGpIecKYUX+J 5T496aDFPZjEVHeEAYM4oMbuUZYoqlUL79QkW1HLFAmuOZkMZURww7FoWjzVwI6Ga+j8Dtx0LIsx HI0OVaXbPVwuU/yqR+Lyf641WlbvuA4Lg80ykyi36Us2mTVgE+FYf3J4YZk95UNp5o3exDiPIKUc Ia3tdDImIoZeIJ2cYFHJwLTTQ8N7dbpb791QnpZ5odKXerMm1XqVApIxfUc9dPwLigLTxWnJcu14 aZSXrox/aDEIL8NJoHV+HwM4pQpvWrGyVT+ABsDaTXxt7cu4k0ESjg56dQxIGUCXpLbq3oFG4GRb b7EFABzXj8SaJoNwaDlp1zpiGV5HKofBAxoWjoMWPPvs/4FD4RniSSPuxI6XpFGP1W2hEBm1g9bf DAL+nZYMUgMpTZckg446rjBgXlC8p42c6YqIJJGmJVtISy4Ptqqlxq3+TQHMvnXSaUmrVZd2s0nX OZnKUf0SoC7T53ayA4+BXpS/j54q3jfNwkOrfVJ9L5OVIbsXOAvAYctw2lz5vcTkvOH0q25fbuF4 6pwEqFUZIxsykHReM+WWabM146REb9jKufV+jcb81Qek2UKnD3ia2D8zXgjwcrS2TImSKfbUI59q 8jqIDgYy3m1RTJS2MckQe+RBNxjL6GmGg7+XTxWl2lyS8nQp4t9AJ71HSMF60L3LwxMADJsCccrR RENorGmsSEDV4AW8pGQmKSl2UF5bqcEDgCRUy677+9jvkBQ7ok4QiQ7470ZJ41AwD9fCd4888KgL EVOyvh+cmQHv19ZLP4QbYoqEX8DQmh/SK7Pf8jpTXy/Bvh+dM8euoozv6DMYeh7Ky1x/Mdi+jGMi Sfuba02UFtcibsRin5qaIj6lVdgYIKnBndRmi4pbDEbCwZBFrv28nL7ALrxm+NKZLBteatrXmPHt NlUHUPjKFHoyLuWhfhROM3swzPxZyMMSBPKR0CU43IxqwZUImWQ9ms9D2BfRlRy86QZPTRgQk8AJ H4qXSYTh6zCdY8y0w41n9hQYE7A3fI5WoTOjGRXlW1GznWJRBoqLWlUfx5FEo9KqiEgZN419Lwar Ec0rRli+fkrl3RlDYTaHFpePetNjnzefAUIazUAPZwyD9w8lkgJMyt7BXfrLudjLe3aJy7z5S774 3Xo6oVleN/qdeKlpxz6G07Ndyr5AKtXBcYR1qyvLpMtD91mzJ3A9kwTe4C3ALURa19VDSRY0fMQ/ WTeVd4r2EhTln+RyKckXCjI3j642mqKHp4cw0gFlF6VjSNIHOVHBd5T+JKDNonFKxAJ3rwo4yzud E9EExQcryIwF6XbBpm0xy4MMCI0GeGlW56ROjmNMa+kG0cIfi8H1ZdA1t9rcayYm2mZAfdBL8UJc f8AmTwuglyJmw4eD3wtPYIZplkGNwM/3ZuDZAxBOF1TRVtn6sdfxbo8hj8i6hkfk2ZGriug9zJra GvWwecSr9hEWiceVHbY+ovUTn+br2S3fzrEH98FJVlzvkfbuGMrN8dR0n9iVlgbodNVrNWnVu5LL FCSbU5F+ho2k2aub32r2pMGwREM/cFQB6sEIIV0KBq32losVSH3Tk4MSdSzBFWmziQK4IKjMiHAD jddVsN60tVpt1i3WGjVmJ5FOz2XQNUXTryxfoWyLHV5ORLVTDwWsU8UZqTUqrLGC0YJGFZjSIFjG r4vJfyF37dLVADEQydIPSqSgyaxign5P/jvh22gdFbSyWuRMpbM4RIxJHNo1eptpk/+jAAAgAElE QVS2uD0E8C6y78GAd9xstKWQL8WG85q2i7qywTIeFCWz3EMTRgmoPihI5Zdnf5uGONexK1Loz5xG E47IsES1n5O8h0nB0n8YlzvSns0JwS2AeGDMevkBNkulsiqZREmSCdWwYkU3Na6gUQN1B09rxjIS g6RWnbdrHakvQ+sJ3hG4KikplApSKhQj7ywJ/R6+h2UOI8zMVALsgh2HUOKKhnKFEohvseEA+A5e SbPZJE7Gtl8ZsI8J9fN32r2WHGm+Lg8WoCml7cVAoIOBQsYDtUvKeg4OOK/YdxoBwE1rAqkn93hX np+L3zfBQESEuWxK0jDSCJn4FhqS4rr8XnyjINOJEid8NO6JnmzURMJj4MBwRvI5793pjExio960 NeUdlLwTzrs/qFiAdH6/L7V6VVYqq1qdSCa8Ztns/1GRMbFbNFeF1j6oBADcRzhl4YHFdem9F8et A+poXc4T+Q8e1aTB+CL0HOBZAJIKcSk8zFKxIIOOdX6hZcKDHsiAUsi6CL0rhtK5ACRnVJwOgHkm ACdBQWj25GJ1Rcs1UiCmQqpD9XnghVG4C3+onaXkwwAxGGLERv/g76AJa1ZmsjmZcZwK3Vu6PUmd SMt8ZnFYVREmZNDWlkL9jmSzmrZnHpOFvrGR9EJwLZdR44sT2ztJsw4t0HoaBt17DGEB+OLecrki AXX99QieNc8prMtULA51mShfSJJL04vS1MwWMZ2sOGAkeW3XeTUdeK7FwOHTQ0bYbKamrt+7TKEr YoIHiK9z+SzF7zxFH3o9TPbYc6Qqba8nrW5LckhMUW1zTEgYhYsxNyHywMMnHADUUdZsTUganpHv 3TN8P460ttiyDioZsNH6cvHispw+e1Z27NhJVisKK9H5BN5Ep+Va7ZYpicDE2GhFygiBYlo46fA2 YAyyadUd4nLGmwKPQhcZhJuocRpUFf8BVpZJ8VrAM0FoSfG5yAXXalxfAJ4Q8aujJ4Iuwp4itC4z 2VROZuYWZH56nsmGqEkn68LQqlyxM9R1IeREg0nNpMCYpdmdGiUS+CRKEjOz6T0TY7lZzerEGk5a ToQQOO4IQkVFiFHZ5uZ9GHvZ6RzQeYICRjKBEBd4FrzBJjtlM6GBDBxInewvib2F0N27GSnutx51 w/G+NclFO6DGBjNWiqWeSiyMBh1uZA49A0l29vWmi6wzTCJOBQSp+RSHb1G9l60e5ZpBQE7IG9SB kiMcYPo+Hn2EZWV4PnHFY/jhfoA4ayHuY4VaPMccdT8Bd9WDhweiIijUxkpQ5E9/dwCiKmsLB8zm 6z3GzR/irPU4THX8wRF7jbrmIugDbespdBjXjTIqAr47hjWTCBpZ8NojM+By5OPHKA6sHCx9R2wf Eqvwb2w6eleppBx7+6j8y3/5L2RlZVV+7ud+TrZs2SL1el1279otN+2/SeukuG/jxhT+QXHG8/Kx Cq8TouCAaZzzW7wyOxXtlGtWOlJdVgoEfuqnZCFfIGGRXqExj1nEjUm1a2z1mxSy31+6MfpcNmZN oVsNNpNqy7uBoaCJER5HwVUYsEa9zk2Kr1GuQI8LfBSwwdGhBiEbybd6IkclQb0ucSyE0vDOQEfA oqN32NNtxTSH6eoj8ZBJ4b1UskRbymuCA58JGgg5aCD/me51Z4C+gyhVUj0qFH4jtlHjESxoM1De WolhPgzuOCzOyoX8eUeLCzLLqHkz0UftfahdTnK5bJRcea/Jo2Sjw6gQt3KJXVW8wIKOn3FszDW7 rAYJwnLwZFl3OqbUKCpHCbKEQ1QF/8WRqZ1kxPWzQDdSFVbXqEsEBw6aDzeb8LQ1BsWzZ+Y5kZBc Pi2FQsn0yoYHidvjzp5kUI1CTa4eoRU9yI3agkMZZOF0gkKHoCCt/QBmuSJqjpcyEWBZ99AyqgOj LKvHZEG0KqCiew/KviPuBBbVnj175Itf/Kd8OTyZ5eVlPrDFDdDQGVZtjDTTQ836n2Do8/dYL26+ mUlmJAOHhEXqcTF1p9tgMW6rBkB9wJCJ4RE8OLxAII2R4Z9vrzxGD2RTbouebNKVi90LCFitDstJ cIHiS9DOKqZqQGo2K+UZbEb+JCpLop42+GWdDjOAJNzRY9PGtAhLeRqnRPKFvIqUdVsyU54le7rX tBZH7Ftohtd5ZjzhPDTV3wFuiJIdPWw0RO33EnxPSaJWUBnyaCNGwBmLwLyNKHR1nN5E8VRpWR+m e5xezB7x2IJeczqXfUmaRrgK7iWl2e5JATCC8Z9w/3G2+D0YJLZqJlZFBVHygZt13fv4T3SddDVB qjTYYyQh4iOur702xGNsWkYzg3akXupRzcDbVlJ8sS3tdk+yAnw2yX2STg0oV9yotel1I9u/5v2t ldbaOfLPVyONZBb01zIJrTuFp8TkRa8vzXablRQaYYy+v+G5ZsSV5qINUdY1V5Haisk6cx3CgFqI HnV+tjgZXsEzTz9F63bDDTfIl770JW6qj370owwP21XUEPnHqsvnQvVKzFQxM+VWXU1afbQNVFyE Tb4Xb8hqkQB4J5JSoFZS1jzfuLIe0ib4Vq1Zl9VBT16qPC/l9Ixsz+/mogOIuiG1KFO9aRoX3Dsb MthTC68jXKiaXQyzdOpNKqE5JYVMSfKBZ6sZQCveRtax3+fJ+P1nnqJxLZXz8oPnfig/c/hewiPE xBguqrEAg9rpH6hcR+0fSm94w+QMKvPc5YPhCTQaq9IdYMFqgwV4V4WpHCsQRmksfgi1mk0KvEGz Wxes1qP5vGhxtHm9ZGfoTboWPBY0TluE+jih+4me5PNTawiu72VYqGG2hsbUIzc5aBgHzkqQCdTl ayTqtnqv2CrMdI/xWjhGssd8r6vEEbXpiDYK0Tq9+FlF8AI3cEYKqRLtLmmmKElLZaTVBp+xJXXR bkrhgKEZb3i1JtDXh4oa5iWXzpMsO7DqCBCxER7Wa0hutcbMs9Wm2nqcKk2RODyO9xZ/ts41nV/T XWMYblBLdL84+YALYVFWqxV+/+abb6b+DUS7brvtNmrp1KpVyQowJ194evKrkTJNIPKFFCQOL/8K HtPYeJo0CWIwwW8ygFftK/Y746LTbBxGD+EVbhylI92mvNF8lSUrDFt6PfmD478vO5P7JL9SlneW TrNuMk0qBGRyM8wQwTPzE4oeTaTq4MXXYbiIz/Jrdwkc45glULoAeUUlUx49dpSvu/fee5mNLU8d kWPHj8ldd91NMJ2GwZoc5JBJza4Sx8PrszkYaJXba9abCuIbBQMeHX42OzetOBJ5bCojg3uJwHmb R61vH5BekUoVef+Kd8UhX5yVDfhmYRunVEIazQZlc5FJBoqDXykWCtzcuL6oKP4yZHKu39A5RaYv l87xaxRoq8ggtKfi50riNOtTMZ9QL80y/KFWkxlvfc6xgRpeCz/Z8Cwv1h7I1M7nGkQYpN+ROgZ0 ErDOcIugGUESOp2XXCI3fiYmKXhEnd9NCIHetqJy6llZYiuR4vszERR2e/frZwuwvrR6jcj4Rfjv mN+Pr8v+7g+YDQdBvd3sqagBqwtQiO2UfpMnhbh8s9mg2Nddd90lc3NzFKCnpc9oR46Y2KjkUIRB TPFbZX5wCZd8OCO3Glh+E/SPFkd4qnltDPQscC+xYiE2YcpAU3YgsQ0HTOWemQ8pt2YwkG+vfl0O 5u+QqdKMlTEo453crnZfGs2O1AYtVrjbBRgZFiKHwL1SpEHkc/lABkaB51ADCoMNGLgQ9GZOnTzF v1HziNvYv++AdFooU2rJy6++wjnOZbJy6NDtsry8JI1WU+qNhhRLRZkqpOSb3/mubNq4UXbv3E2u WwdFsT3co3pakKuF/44Fn6fgnjWa8BM0KkUyveyOnt6o2Hd+mqf34yn3YDDmyfG/CPmyRSnOF6yo 1cLNoE+Erw3PyL1Xg+FpP0VxulIBZUMhH9AxQBTsG6UFmEk6x05G7T54fhXijOPt0rWja/C6+hai eycrHHgD6+yNKo9EIPMUJZO8NlG9GU2eXP5VecmYywUpHNHj/rKOZnp9ppennW3Wvn+Koo5CVQeX ol7HTsX3bEaLOCwI421EUcAOc1FSAhCkad0mZH5hXp569Ek5fvyo7N6zlwqDr732qlRXqzIzNSed hlaHR26d8bHiT7W+Y+YS/sTev9EUYtgyBkb9b9wc9R3ts1IpVzT0LGZfTraOy4XuOdlbfMQKfHuy 1L0oC6lNrLkj5YD1eIovhZPolCYsAtag0WXF57bl1KlT1Lde2LDBsiIDqdVrsrq8yvAIlQJ4PRUu YDgt/J4ql5g1s/w5PwIZ0B89/7ycPnVK7rzzTnnx5Vfk2LHjcvToUTl9+h1qaH/rW9+Sv/vLv8yX wdiVpqZk6eJFqTdqPGiy1mMQuKMvXOAvVG9IJemaY7BqoJUY4pFpTZtmA53N7d1yIlKkt7fyins7 rZktipECdecp4xsXPcfhxnD93U8aKo57bfzvmK7DtcFiYQtlGRZ2GGbTC6S7qQ1oU6k8kxZaeqb3 BrwILjRwUhppwxIdo+NneY++EVA+KheLVApinDRqqxeW+RivDnOn3W9wfWnib1qAnqRSrEoIGJ0i OGhiD2qSlZgQlkWt1mLoI+b3uYx3zFWbNNgD0SHBqEwuVgbxmuC1V2iS3yjGZq/NnORTSH95OR6+ Z54DcJxsKS+f/ewj3ADl8oy8/PIr8sYbP5YHPvQx7dQyLocZPSAviwkyLOtO2uWO8PVr8u22cGAg VTZWPS9voqAbEHrkHWnL5zb/srqb7Ya0B025MXswlnMdc51xjaoy8BGHU4dauvJHf/zH8md/9mfy iU98Qm6//XaqU1y8eIHSs7PTc8TQ6tUmT+0L3Ysk38LLQPICap3QxIbbi4cAcf9NmzYxtNq7b58s btwoMydOyIUL52R1dVkeeuhBGqR33jkl77xzQgqFPAHtN978sTz55Pdk165d8sILP5IHH3yQIS0a CsBb44z1+vwaoQXUMv6P3/99vtcjn/4s8SeoPFAfPJezMMgUM6w8Ca+jumhfQyENKxWTQ8OFSLgx NBr0dL2Ljz6nuHB9bR3kaMbtSkaU0QsSA+7hhhlNlSdxxRA1VN7qDJ4oC+eTKMvyLkD2WvIKY8Pn Hs8oTkVcaYLR1WNXge7RaGysE8T1GycAIIM8/GuJYCfEa30oOvED98pmM7im8DNG9uDQ9a79DI1X nJU5bgznUBVmiK8f2VEWm7NZbCOi/bD8z40MLHmtWpNcMSlz8/M0AIcOHZJbbrlZOvUOdW/GpaY9 Y+f4hC9MTRJcX7xCwXA0cURTyXi9+HWoAzOQN1uvS31Qs4nqy5Mr36IVX8xtDgDotcNxCYaUlgWD N1acKskXvvAFefjhh6VYLMrFixfZ9mh2Zk42LmyRdqMt/Q50qHMimZzkBwULCftUedy7a580a015 +qm/ofIpsB4YHehwnzlzhv8+cuSI3HffffK9731PHnnkEbZbws/vuvtO6Z08yfd64sknZOfOXTI3 P0vJ2pMnT8rGjRtpoJ588knZu3ev7N+3X4qlEp/P8889RwODzwJxvt1sEzMDsN5kqI/W36CtaCaN +mVoqDkA50f77KHduPJxksT5Ik3zkeGCfsNLIFT5uHaYz1oPSxMdSgMC5UM10pwjyLIoakEVLeyy EJ4nVOxROMhNxxEcQRrhsDY2rni4lIMYl+9cphEJlFEw+DzkvcL/rv2Iyp3M60KWHPMDPDVfygqm WonQgJvig0eLn7FO2WFEmcCqraMWAQJ+9Vpd8mnVfR43VCDMgEozAO9OMkhjetAIcKMROAx5V3NB AbD3Ej05PHOfv0SONd+SUnJKdmb2KHVgAj3E8T0tj7EFxHCwJ2++9mMaFoSE4Knt27dPNi5ulPpq i/iNtsPC55tukHVRQcgK7tKhWw9JC7WY0O8qFunhbt+2g79/4dwFufvue2R6ekbm5ubpNdXry2wu iYdYxcGSy7P5xsGDBxm+5HM5KZfL8vrrr7MVE8IcGCZcK8Kcc+fPyVe/9jX5/Od/RZ5+5hluxlYb 3VROy+HDd8uRI28RLzt480EaXywOeIogpsL7qNdXbGOa6gaK3O2Pa0eF86bBSlDAO+RwW1h2DUD4 Ua8t5O602y1mZHFIsZwJXbKpIwVeW9yWTjEsVdEYrhd1r8obU6jCatig1pMrTM5MPPiGa05pfLwl z9gRK4L8dI9E9JXPIw5X/MGgWmuQ3aXBQiYJXgAwDsig5kvQ4k6yrEIJW8rlUA9jMkOWIQRTsE59 jBnC1/N+iaCwpRTIkgjdlPrgnmO9V5EXm8/K7pm90aS83nxFsgm0HzPQJa6RGH1723AxQxxE1aPH jsgbb7wh999/vzz++OPyjW98gx7Oww9/SjbObyZlQgFbGFExGRlwsTqcFnguyN5l0jmGjK2aStyC EwZyLoqvWV2QSsiv/b1fk3arK+XStHz0Ix+Ver0lK8sVmZud4+d/4+tfl927d8uf//mfyxe/+EV6 YcC9fumXfikK1xDWPfvss7Jr9y4Woj///PNy8OAhWViYo1xQpVKTN998i970k099lxk/zCcwuE9/ +tOcg4XF2Wh9gWoBukutVpfK6jLDZXyW1zgybByoLFDUDdpkhELP5ZouBTMIJD6iWJzZNVBANNPr QpFRJ+kIR8G6tjT8UEmUV294yjfBBhv1VoMe/ehga/qJw6WUXfDvUkY6rhaJO/r99I04jYMx3OQD g+KgIyMNuVUYLQCnpVKJQOR3n3xSoLDKdHgmJbt27pZiLm9tm9YO7e6hrZyUy+SfeZ1PiIHVHSIj gbZI1o4s7LIB/fHGoC4PLjysHmSvK41uTT5X/pWo4FUVK8YQ4JxZ7FkMirNpQTcMFDb2a6+9Jr/9 27/N333jx2/IpsXNkoA6ZxKd2TuqrgqjBU5JFqUzXosJYl6HZFbvQoTrb/e60qy1SdXAxm+K4lzY ELt37ORrd/7iTmp1Hbr1dtm+ZbssryzL7/zO7/AZAAsDRgVjg1AV3tuFCxfodQHbQoiJdDFCz127 dtIwwYDValW+5itf/Sr7z+FaHvvrv5YHH3qIFIWIxQ2KRiYlM7NZdhJ2UAbzD28choIpbOrqK/O+ 34mJiskBSotcfmj9xhqXfPzB65xhj0J2FrMnkvRCKTsEoqyrYUTSDFay5J2cjU4QAsJaSqIGBgmL fLFAHNcTFXxNpO2OxTHpSm0tdntSLBh1xLHWSa+I+iXatI/UJP50jWE80DG6cfUyaeg4I42eSUH1 ICvHT5wmAXL37h2kKwAPIdPWG3eOnTJ9qJoStsr3wHJev6ELTol1yPZ0yPRFzZdms/rSkra83T7m BS9yunlKljtLcu/8A8FJtl7GQ+/FSxOQ8YZsytmzp+lJHThwgEYCIVV5qiwDdK1pN7WJLEpweuRd kLGrmlDYtJY2tlIF7+KMoa3SzAsw2Vq8CNK03ZaWhfgmweumi7MyU56TQaIj3/jGN0n2u/vOe6RT 78qgnZBuRlUwHvr4Q7J5yxbe68Fbb5Nvffub8uEP3y+nT59itvM3f/M3aYAP3noLm21WVivyyU9+ QnIQcCQPzjluI3kd+2c6m+GfCDiwmkx4OzBgriOuJUQdaQH4buj9gBkPwBseEJ6dhuLxGgo/MeLn wQjphGmVQL8jvU5TmwGzuBwtz/UwwM8UiwxDVPP2aIODU97r8fhvV3vV3oY4XMJmIfaSoZxNXHge eG00ij3p9puSK5QNXwX80lNuE9vTK7ObeUznEKBmtAeOGNa3yuLoWoxD6Q+WAQvKnqyCQm220inw /0ajThKztktDZlfXHfYSnk6abcSSSSmVCwx3QDDctGmzbN26lac6vIB2s8Oi5PUqBMH+BeGOoZlX bL4rMbguMFwrNwSKSUniTNFOgL9STE9Rthcr6M3mj2W1uyKbUluG3mPCW0epfBo8k2G+4cABOfrW WzyZP/2ZT8urr74q3/vuU/LIZx5h00csam3OAawCwHQgRyJx6t/16SezwePyhvBvr1uDcYJcDcKt fC4rDz30s7r4uwN6NcVciQZjcW5RUospWV4CDpaT3Tt2y+wv/C0uivvuvV+90wE2pD7vZ3/4nDQa DXpLhw/fw+v5X9/87+Rc54z8Tzf9Lq/s/z75r3kN/+k2bRMVDr1+LdlKZ9UDDn8WAcnwiDpd886a DDNbtWXFhNj7MB/hZNHr7W92RgJXiSG3MvUx55lsTjLpIotldUAFROtEMRdRf8tIVFB5e8PPXVe6 M/vHMdiHfz3MFnrbOZMT6sEZyEij1ZDyTNkMqXlcbfCUkKpXhVblX9l7Oq7M8pf1ws0P1ojK3gxn 9LIoDcj65IBWVlYlg36IVNdA9KfYIaKPNIBjzNaZs+fk6Wf+RirVVVldrcjNN93EEKE8NS17d+9b t6MKMy8gUw5gNDosYXi3pNp8c7PIM60pUYQE0L3CzZ7unpDF7KLMpmf5eyvdpSjzc0kkgSef8Wws 7QjKB4qlP/cffY4ZNHigCLs+85nPEIBHM0lMdruPzFRXEhmUuMBDjYX/fITg7U8y8GyqKw0+L2Sz oArLBrHAcRIDqbZreg/A97oDXmO5OC0rF1Zl8yIypQNpNlpSzBbl1/7er8vx48d58OzZu0eqqzU5 e+asvLH8mrUP13t48uI3ZE92P4UdkWUE1yuqBIg4N+FcDv+tpRspaqOBvV+cKsrM/Ixxk1QuG4YM bP5GuxkbipjmHeFSmGcoXWTzGYaB8FBiWoMqGuBlLMGh4YolqPF9GH1XBfXhyq2jFIz1xigYD1QS 4DoaQ2A+SsWpWBkF3kStqYoQEBWE8SVH0Gs8rdN20O8z8dOEw9u8qoaYR8eAdHBA5SSXLVqIrpl9 5T+y+FlB4YX5eXnwwY9LpVoh4xmTBcUGLApvA+/449rP1h9gY5ItDEvIerfrXezqRtTLCQD8whrD 09I+is83fyBb8ttlOjOji6DXllvyh6zNepwwGJuap6YXwkBVONWTGUWndZlOap0cSmvQPbe2CkXW NsM8nNvwDpClwqbTkHV4Lq4l6Kz92jLSrGqPORBgfWZwjyzdYZlJVtrtDo0LgGOGt3V0NsLz1RMd siU7tu1UOkALPKyOzEzPyqCi76gyMnoqIju6dGFJ39+Ii6qkivAwTcZ9NqMqB1FNaLT/nTodVPVb s1jI5kDVtlAoSrk8HXk3xKi6kPzRQm8a505POjgcei1BE3eGrgn0xEwFYL+Xzuj7hx6R6425px59 /yojhJD/xc8ClwiVC4UcQ2b3koHttRotzVYG1CYHndELFNfM7suBxtlPyyA25x6rUyYxb+ZVqvl2 kU61bzho0gBK0Q3k+099X77yta/I4sZFufeeexgSUiuLyHySGRJXvBodWiems44JxqJiw4ghLOt6 DMUlMBy4pk4VGN4DeFg9+YuVfy9/e+uvSDaZl2avLs+sfE/KqZmYO78O6OtFsghx0ZYbIHJpCo0z rNaKJwOIfQCZLRtoTWMZDtKAa8YKGcHQOIZEx590KCSjID3DEgD8zOyq9Asykvh+LgfZGzRC1blS Pfwu6RmatBAa3V46IEbSA0hT4ue+2Q8rhYW1doqhoc4LnaO9bRT/dEWaHTD+lVYA/AqfAdrF1PQ0 PVRm4Iz0q4x4lO5o4TzDtsjA43uGKBlQ7+zyyKMxTB8LGmEfcJBqdZkNTXALechzZ/JkTvucuzHR zi2hbHe8toY9xBh7mczb05AQ2V3UdOLfwDl70pFieSZW2kgkWJ+LMKeQx2ESrzd2I6Jml/YU1FKn 0Jx+sIeTb70EKK4Z1mpp99AVK1QcGi9AqIjIL43TEYvkQx/+kCxsnJdGs8kXIG2PjXb33Yf54nav beJlE7ir1vU1BsDhZV1/qtuwsfGTE35ORjKoMk8mZVdhH3+CTXexfVEeKn2GQLBrBU1ehKo7hZ/A sKOr8Tcf/TozamjoijpLkCcRViFbh+66pIkYrYMeGbw6MHcNTA8/55oVyypyTH0nXCzuDcYIXoZq fml4gwPINzuuB0YE/1YvUDWrsimVYtaJ0TDKlUOBr1DzK5WWt5o/lm257eww7RiRqhs4VodwD7WP mrBg091GT85WzpN8igMN4Dh5URmo0sIYQccpTx0hbGIPF1QdQw1I1Ek6yCiBG4f6gyRC00FKcqWC zG6YV5wPaqHNpmJcZjzVMMQdybGuXb6E34ehwP96AS0j2FiTDjj+bkrvtdVuMNGCchpUJqCgnpom OAQ7XeqpFcBtjJILvo0N5KdkkPdUsENOPmgg+/jhjgKGGmUjiVqvBq0hRv9SUJZcuhrdzPOShguN TZdMJ+TgwVto5VDFXq1VSXOAy1qrgB4/uSGkDi26I8kOWj6Mv+NOuL7gtEQBv3/tWM6xm++EVYB1 HXml/Tzxic1Z1cBqdWtypPljSZUy3KSDFOrsUIloIHE0ndGbRw1Y8V/gIw9+7CF55fWX5eixY5wf 4D0njp+QhU8sEOSWroUXdnvaK1Hbi2sJyDAj3+8h+ryfwJD5BmbaPZLlCX82PGeOS0afZnpH7qZH WWH3JiPtI/2cmYwahWgzDRljlWzxbr/IAqaoTaaCg/4/aog1e9KstaTZacimzRul129Is9HQLCna qOczxLkYXuIQdF2u6Jk7JoW6P8/K6T0CZyxOZaQ4NRUpuOJQYfcl614OhN7vgfLdEIhkWy9taYfs bIzhasitxgkk1JiaAexUjXFKckXtsUkvNJsntED5oERSVldrNPSucxXPmc4fi/aDDOMaRV9BZlRX Zd/mwJ+Lh93KmrjUnr0+w1a1ZZdMWSXuhRrfqysTO/juRF3vj2k/88MJzwYVlaxz+93f+z358pf/ TB74yAOybdt2ArhQa9izZx9PUJxMk2Lo0QPH3XWmZHm6u9FyeZJJFe9XMTlDbxRsykRPznRPSTFZ lNun74ke5vb0TtmS3U4voQe+DuVVctpwdYQ1rY1OdaHCCwWbH9K/wPgO3XIk7QEAACAASURBVHZI DtxwQA7dfoiUBi5YeCIjho8lLGlVRgAukUxhEWu77zDMoIczbjIvfyaG/zmh2cNYYxh6DU5WjLBt lRX213rPbfw3l0DmdcghCy9g3Wt1+oAWRAs6PkiL5TOY5w4NRT6Zp1GBGN3KUpXzD+C1kIfEToqK s1PlsraTs6acWjjs964hmk2HqRiARwbDN8y2H65xNJWQoTyTbkCGee02s6moTkA9Za+jxq9YzMp8 eV5LluxVKpqoHiA84NXlChMVhTwK0UOKRJwZdoKzH3x+CCcs8+pYD9UvBmDtI8uo5oBHlEoeODT3 no3owAsoZ/FBE6+aWB0kppPwfqxHgif12PeBcruprPzSL/7Hcui2g7Jly1ZZWlomNwdV/81aQ0p5 JzdOjt29FIsyLAa8UtspidDLa7TgguP0v/7gIZ7ZDxvfl6l02cTA+vKn7/yRlFJlKaSKypEauAoo Qil1TTF8kWt2UCeSXmMXwK6CzmCOo9gZ8sgw6Pt27pN+RzNcawa4RmnVNEepC0IhpO2x4EIva9zX 74dxpPUa1S4UbA/B6CsPUkZxojiM76ryABUN8Czg+WaIR0KrK89YQPlM5C91u7K6tCrnz5wnbpoj nSErqWxSklnl7uBQUk00k0KJgPbhTO1wJpDfVTkUk92Pr13vOQ9MszBcqua1q97lyeVUyDUyPX0W jLeBGeYvmZCKvMihzxjofbCzs0EMTPnHGvXwQNU6p9gB6v0I1Ic1lUModyh2GFSxgB6imn0prSVs Npos9UCx89Gjx2V1dVV27thBL6IPsD3gEU24hOBi9MFqKKRdpDH0FAwX+PWfyIu987KQ3Rj9+836 j2VHdpfMZRa03RgA6IGB4lnNZsHTwghLjXi1rK/UzBMSEsCvAJyi1m/rlm1072HQhuR2bOhCtsay ZIWrfhhUELjgRgqI30/GKhx3ztzLv3Gp0MjHuNJLnYj/UGHFiIRGqmVpDxMY2PCqIKuqlAkBeV76 KSnmpySf1xpLZhEbXenVtazMaxz5OqhsJAaysLCwJlPohii6Fj/uI2w2iA4iHGv4oPbvJW0jRjI8 iYR0WpAy1ppctI/LZZCyX2figiavY+dvYB4q8Eqo5bKOVr0RFVYCfgqi5QeABmFzreSFoO6SP7Qu UJY1VE4eKvIlLc1mVRYXF6U0VZYnnniCXgABZGtDBadjkib3aFSmDxi1dFnpt1tM6/pJhg+/3nPo VfnNfkMe3vCI3bjIs9Wn5WfLv2ALC3iHAsjg8EB2RGNtPcXCRqWObwB/aHWb8vKrL8vhw4dl586d zERVl6s8jUknGHNzyj/UlH86m7OOPDCUMJoxkTAMSa91rd21GLsKeyLzi5ZoV3ONa4wxOx7h3q0h BBVRe9JHooKHHBaeehMO3oNqgYMFhyK8KnB34Pm6R+WqIqoKq8RfSMrUuzXKAIWZWnjJ1coqExCI CvwPlWfBURzKYEUXHZEf/f01rFd9Nvd6VlersrK8QkliZJlxnaV8UXpdr24Yr3QR44GhiEDA76J1 11pV7NGV+kVGC9DqQsSQT+cJ6AMne78efrERSFyycQhGv6tRTxop+X5f+Tt4k+nytHzq4U9Ju9GU laVlhjv40XoNBJzsF4LfeimaCVI+Uotfq0LedZ7EgchLjefkfPesfG7TL/NbxIxkINvSO81jxsIG JgJzLeRsaZeSzBD2ofdn+ICJ3KEO79FHH5Xt24H1FWXjwkZidY41rLkcr6OjMJnSD/Ce0MNCaBA2 Cng/GiqO4JGx/RTKtzL7riIq1PUBWWJsMjLWjRHeY6JGQwBk2Shch/8lY76UNujISD6v3YnIhu7C WGjIja+jQlqUtJCCgoTdQGZKs/HBaUYLJN9idprgOaoDWq2eNFkDidBT1Wbx+Hm6uyII/s3MpnG9 Aq8K2Bb4VVBxhZdTLsySFsOlw0tTw+ce2LgRH1zDIenABO6c0Aq6BhoTzaVmeIBAjnPpwrJkBlkt bXm/2irTbx/zg6EaZPyOTndsM9L9RF+6CW3hrW2yNP4m8RILCIWqhotGleND8jGx4NvoUK8sZdws ZX7DHjBs8gyGBf/ei+3ajL6c6ByVlihDGhP0auUF6Q66siW9LQLg9QRTpUgYMOW+GNUBzGNmxZDS V9Acc5IrpOWBBz7CcBCGC1hfPpuX8qZp6VDEZ+3VDHlQtmGRrgXughT3ALqvhpfBEPC66GkMv9mo 57Umyxh8ffUnq4Mx8aZe6S/TW9XUU/zeIHAiDE6GoVfESB9vyFBORCMFeoH1qdN2bBnWQ3pNWT5X pOev3oQHDW5sQhVTL1g23DHKOJlBsNANBjGfKaxJ0uAeEGPAuLBEhxBQkL2KPGyFRmD4qGvW7kij r4XpUYkJymjSGcmmilR/1bDNVBosPe8H+3qxmm7m0SSKB5G2dhkl0K3XfpRJrU3kLLFt33uIuE8K Zz1xYAEg8EhF/cwb9oSJfiNC4cOZSmfzaSmivsl0utlLj804oU1TJNtZei0pwJW1mDJOUAZ5xwmE UgzG0yZdjFCIVAICh+FJonVd14Igh43QlqZsy++KpurtxjHJJnJya+7OIP3rpRTaGLXf02JvAnxp 71iizSVw8uNnQAbOnjsjR948Ktt3bJN777ufUjKthtYOXpahsAwQjCN6xAHTQtqepUA0lmhCOjyH 0UsnGKdrRURVtnogxJhMSK1XkTa6Y3v7pngnU4tecRV7A/94Nv1c+/7uIVBlAz0cEcYxeyfS7LYj siqaHLB1pjOhJ13viFEPl2KUfY1oFyOHB2kcSLjErPt4LsMeg7YqwyDjMos4wkyw3/+VAUujEztY k+yA1649B1Kk8VRrFSllB1be8l7QGibBPiY5Dl18KsDGWF3YkFlJ2d7sxD1m/b00Fs4zP/iBnDz5 tnz84x+Xb3/7W/LSSy/JJz/xSbn1plsllRtQHbNar0oO4CZ5VLHqorccmpxBdDwLqXwAzl3pJqAF 5dkZPTn1NifXK17JABcGXsGd04dt4yXka0t/QdE+bJJRz0QxLXRVRnskxdyUiqDXjm408AiKxYIc e/uYHD+mUi3Qnfqrv/hLefjnPxWlZa9kUJ4aBeZNNIcFTgPvCl22tWOzzWDMIKdEsXVQdhkUo6uo N+hzvlY3/bIHlSVck1z1peBZ5hPabANz8s0Lj+rXKJovIQsbh8OeJcWhMS5Dpd6UkzaD1k+hwTWv 5BKOyJWPMc9HG5CM+dX3KY44bqASALOdTKckm8pIN+297q88i3vdh3cXMlzXsxbQyWcWFT09Wz3p wHDh+9bVOgoJ8cBQE/bxjz/IhhP4wa/+6q/J8WPHZWl5WRbnF2WQR2yOBqFtE2hT7+hS6feYuGiC +ipjGjUchftMyQ9vmniNFkmtV5VjnSPycOlvRd9DvdnB7B1jfz9m3QIbgeAdvIYm088eDmhjC1U3 veHAjZSVge7Uc8/9iMqfKZR3GD5xuUMP8oSWxgA/y8SF1jTeTqJzFxkP1cTjlKkdkzZjoDngTF3F fMbNOrUdOuYC4VQ4TxgIo7amd2iK3cI2ldrW3zHBkHF3rf8Nmg8r5cA87KDDtDfDuDZjbXitjGpU IAZqEB8QIxUOzhxaabW60mUWMq8H8/vMWIXXE2dZzWnRLrdMTOTzEFzMaLkbOxh5Ik0kDcMxMz1D 6/byyy/LHXfcwX6Ex4+/rXIx1vadxbxd9T68jswLiCdeYLhpzNNC4S0Im6wx6/cJHDLlDDfxGk1w s9eQc70zsqe4n59/pPa6nGmdlnuKD4w1sBEmQ8OpiQJgbggBIT2MkhFguWhOiSzTV/7qq/L4Y4+R Pb0wv0EKOYTO2tmYE3yZQ/EaDUc7YlpRg77UG3VmlhCW4oDwrJWXz0QZTDaic0DfmoEG3tXVZfE0 QQGGOJ4tMnKOM4TWGKnzhdSiYTvxIoiJtmsLvnWODbfgezkW5RpVcQeaKL19rQxIgHEPHbRRFYbW w75vs2oTxoAHVp9qG1CCZUNr1km+x6zRCcOrXry5sA8vP6I8+yBFrDBhUY+9kr+VRpiD1O6rr71C bhEaF6AbC950fn6DLp4+2hslJAsVzY5m0zBQchLjTpeYHG8bROVObEJlfhMXyhimFaMFP9EA3nKx d4HkQXh5tW6VWZTPzP7tCZemBZZ6sitwiq9RP9hs1iWdz0ilvsp2XRsWFuRXf/U/kaWlFb52dm6O OB/bmXuMftkjxiWyCA17Hak3qmzhlEni321pQpSu7oqdCclBztraUSF0ZHdmGIe+Kx1o/ZV63Fe+ ASkXbK3Q6VUmE1IZVKQ5WNtBOCpSHfMZuvi6Y94/lm2JQ93hRIJiS+8OuZib5nqLilynMfCUfx/C d8BXU1LKlySVyrIsJ+SOvS9GkMTw3hF+OOkPnPOaYrIPckjE56IxkDRIk9AGr9WrMoV6q8GAve72 7dkl5WJZapV6lHVhx9dMjm60q0dC8I9dl63mbvjqgsUY8UrMUqLI1kiUzB7CY/PGAB7bjoxwA0b1 brzDuC0SvY7kQDbntko5Na2Ae+uoNPp1SY/Ubg2/uV5znNVJSaGAbjNdLmhopX/niSdk39695GDN zM6xNyAq7ikxjcyMYz9BJx7PeiEbG87L8ENEcws0pYT8MqRpTEIY7cFHQhl8HsiukMlhrZ29iYc1 DiyzXCOZJKbhPRG97s3ncvyKQu9maNCjSBft7o30GzHSw9fa83SFaagMkIFt9z8OM6LSpKmqsr+r hbbIVpNknJBMLicNdBrPKI9oKLXva2AivuXemeFQcWvQoSy3Pxs1jPAmg5Ks6DMn4bJjvHR6jbq2 MQfEbFkdMpLmuoyhyYK4PGfS6IP+gQa8bRQKo7oJRGQra+HHeiHV+tcwCuuvubcQ7x/6gc/pcCJm 6LKjDK9mOu3KtUFx1AzW30K5H96RXOfUc4p9qTdrkm7W65LKpSjz65Xw9x4+LJ1mV1r1li5GphqZ P4oUEMng7ajIGmhEDEmiFE1ygs2JQxXltqgcLiv57X2cZewp8lFMJnonGgZrjBklKrUN11ONb8od 04dlY24r36vVb8hcYmG9RzL28SnInZVUJsmmDReXVPvpxImT8vQzP6DcxWd/4bMyU5phXRlsNrON lOXV2JvXbR2R450XbGhuYDcCJLwNcepGPU7FiMbrz/vf+GyWoVsPxkihwFpU4TmDf0RyZEb/dt0o 1lRSBRPhHdRjtTxiYwZCf/p8Xq2+rBlleHkwqtaBG2E+1D56Hev0u2a6rTFpsieFUpGNQNjaHh0S wbmyZ4qO2pWVqkleq4bUaJ3nehtQcTg08VDeG8Oj4HRfs54o6RJLJjutY9LhNpZDFDRSZWNZz5xa WdiVj0AvbOxFCOEHKJlmElnJZfOmrNEnxcHXVmg4dN2tPayUljJ5SqMkzygOqD8N3gUHj4OzwZWP MjRAEgbR1QxWnF2x3qYe7vhcM8/XJySVRljWZ1oZdW1qiCBNglZS2VSB7ao04+PzZyUIqNUivwqs 7a5kMtr+STOsa1OvQzdqSgH420mUMH4gUrIuLIfW1Nr6XbNJQUZhZHMOWX9W4nfkW9XH5YHiQ+Sn YPMud5bl5tyhq0o4kUAI0btcRj70oQ/JmdNneM1bt22RqalpmZubpYgdMCeC56wPVF7XUMp2ZM1G 9YqQwqGkCYyt6o9dTVTsGzrUjCIxElpmlmEMmdUIPxv1ZmRY2UgknZQ8mzaoljYOkhJURlsJyQAE tc9p91sylYI3js2hyQhib/UW4QNqWU1owQcj2B50JJluSa6gUjYscDWpEeKjyaRMlaekulRnh+zQ aIeh5Phw17rNRFGGejsJ8CpHpIZ1HfZ42Liumhd42z8mzve4H1kVGsu8UBDtJNV+1Bb7MscVivUl 2EchRXoNCLQ0PnQwYBiGr3XUCA9xNScYLbIMxtQ20s4bhcFthH7W5O5adMi9Y3ag6BrOUGRjjWrF e+EPWUvYi8IGvARGQvWRXI9H35h8FQNLI7E887QQVgLDgRyw817Wl//12FuziNjg2OyowEd4CAE2 GC5iSeEkDxkqz6DFnA/KbUDzqndOZtNz/F5r0JBXKy/KwdzhwCW9/IFXsL6w12OHHDSbxdwsryzJ 9u07pFQsSq1WUfY3Qi4rSHXjAc8F30eZhBombWTgkhswdFxaPe2yTAmNRMx8v9wRGqnYeGkPxcjL 85OfEkBJMrWHyo+oyKodo/vdATddvjS1dhHbayKOk602rIFcGodcNj4sR0e6r++NyoOASMmkAnXq kejpkkJSW62TUgEvkGEBgdjJjW/DwWQQlULUKOFAwBob9dKpWNrSNmuXPaIDOZwSI4ZKX7K5rBTy aJ7rYdAVZmojMP1SZ1eC/4WRSgKoZlirBxNDXcvejn66F2aPGjPX+RwdfK8xt6CF3WalbB2oY30J g+semLvhfqMh1WFoDgz3HCSRJexIMVWM2LdObIuwiojvYy+1jcg346LEia4scVh4ZNQUz1o/y8OU tYHiKlWsbZeyWXhpKuEB44WMnZ6ME7CXMAzldauHc6B0M++h0avLy7UX5bOLn7/irJN7cFSe6LdJ Y7jlllsoJw28BR4hCsczecXjfL4QhrDxIxQ02dRVpNKpxYvCmPXwADMwZlmkcaGSqq3Tr4Y/Mwpe +78jQ2bdiT08VRE/a7EegN1e4I1+hfiD6+j0W8ECjK8Lh1svDaAAoaQiaeToURBvPHEU1A9QIoDB qS6zrVN402ZYK8urMjM7L+WZKVm5uMowXEti3BgrDWLsLvKGt1Y5wEa77QbDemJnQfaRaxlCg2k0 7lyr/z15rawN8ZRagjKjDmlC6P/IV/euNBEzXEkyac0mQoiQkqTuIRoVgLcfG4MIV+UhEXNKYqyR mY6x3d3VY4uNcuwTxUGhVq8Ec7be8nXanSe6wh8NLf1gzVkWOQ2Ojav+hRPmaUbVKHc+VXx6x+Cr scS96YItOlihmBU/esFcSfHFOIPe2hvBPkPJQPlaLQPlMxHGFruR2v7d7xEL8juNx+jBTKcBuFsB QL9LKd8rzZioRpV5AKk0aR8A32+5+RYuSISuaHiKT+cpnvSCasynhh+qIyZSyKgh9hZQuDIgTa1u XQRQITY/aB4FzQJeTXInblYQh00oGlUQPhXBIliUCAndi3bjpSGjAu8armeiDkiHyjGH7WTzbd4H POFuRyWO+XoK7vnmGE9epVI3C87b+twjGoN73AmGaMtLF2R2bkGqqylywaDIoNQpXy8TIraAYOvG GGuoVJ5h5BC1EYt+n4HGGO9b+0leybmBvdIaNEkvaDRbTMq4vPOVjohMm1jHcCVi46YeNBQp+lRX BSaoxU92L/4CcxaGdmZk7LwJ8uiNjQHVI0Oo942oAJm9KPk2IeGiIV7wBh6Aj2SMw+vlb+mJgFpC BU8d2MQHQoiOLrphEWq0UHMVv7GD4mrENQtFjhZbbJlO9WC9Xn8hAGqp8Si9YO3d4YVYBTpCA4Q3 zpJWYqO5jKwH1IPvXPeMzKRn5capW/kgX6u+JFtT22U+CdA9fv/LGU4aRWF0cSov99xzj5w7e5Za WBBuw7+hU055moxq2etBE0x8xKlUuoCywuNwOcPyHAMsA/niq+EDxWnu+PWRplcQxeCzwIdTD3xA sTx9DqhLM9E06zmqwnD6RxtQJOP3SOQk0U9LCicfsLOcZnqj9TFm7XvmKxFgatThN7VT3YQpqVbq Mj09J4VSngB8pu+peuvhZ7V7wTtH/6VWvMENCCMpJZTNMiGQyxWC/o8qIQQ3b6ws0NrIb+QXAgzI dWtRzJ7M0PsGh48F2Ff8JFm/MoLqjHp/Gm5y7VuCANQdnJMA3XG/ubxDKj43drHRv4dBrZ4Z+9Hh h2ycbYyNC6ttKeqiwpZwRBCe+nxEkI4lMuIoLr4zpxMNeX3RBcZmgdp9C4uLmg61hUYEX6XBrSOu hRDW2XaYpqDERXqktngUy9FFF8t7xAoFzmBGyEC8xkpNBmM3qVbcoxNOgtK1SPtT0ZY1ySrOhgWB OEzxgxeaP5JsCnV5eomvVF4gI3s6ia45mPQYXL3UcE8zmUnKympFfvjDH/JeoNIwMzMj09Nl9tIb IkNewhaGWSq9Q/ZEi743qZD8SsYQTmNZ1PV/P/htO9XxujRkdozPQ685OmgTsiW9XdKSl3QCbeJG 7jFaaeM/mB+BxCK8MDpwWlQc2QyEyqkcOxEVpwvSaqelDtpNaYaHVwreqndX4cUPh2hY2Dh0kTjA QYeQHesNJFif/5CEq00ehikzOg9rvRqlDChEQgyHL6H0oAL8KDdKZOnhsC7OMMorGSovjbS/A9ls uyphGEa/BBr78GrTfen0mkz741Lw2eBjsU5z3KlxFWPcPWjjk6TU60122Kq3W8Qbc6mCOfNQ9Yjr daOEoLsapio6aqT4tXe0sgiPmW80hJmdVcmN8EUtkBWBX7ClOPg7+nP87bFwHBMn6A6iqSUGQxsz q8Czoixf0NXYPQCoFcArcyLhJM9CaxE1fPH3gVeAcpbBACCxCdgPerLcvSCf3/L3o9c+ufRtuTV1 SBMLUcbGuS46mXG35ZEHQiCxz3Dy1KmT9DqBT7z11ltsA//Zz36WvwMw18Ph9xVR72qHAbfZbIH8 tecbz8qO6Z2xjDM8QwFud3WGVZvSJqTd1DkDdSLqZsyQGmAavJS2pLJp2bC4Qc6dvkDaRDadtVZQ gcptQD7UkBK1oCnp9rvS7jRkZmFaqTNmsHydIURk+D5SZeFGmwHVCA1AvVDob8Eri5UXVFd+FAK5 2vnx6wiKpT0FN4ixZIdfGt0Kv86XMpIvQD9+YBHSpQ/Qy7+mtfeCDC4GoJHFxQ2cp2q1KvXWqrb5 S8KgIcurwoxhgmz4Tv2Ghw2jZo+9skO7X6fD1kMYkJjZsn2rgsdsL67deVFDNwCbG4RCuO74vyll 4hRWA6BGB1sfWAHRKHXSmKXhywB8coEq012fSAwITwwjaRA9Bk9KNgPPjFo11vmkL2c6p6QjbTlQ vllfMxjIqeZxuav0M6Re9JOodVMMA+trXCeboenUAF27zyYT9KxgqG677TY2n/Bu04qNqLrDB620 Y+wgnjSQXD5HyZdxSYDJtIJLvrViWJ2UVFfqBN/n5hfYFitq606dKhyCA6lWasweLywuUA55ABei b81p4YEEhGVCo2z1pg0hmt2GzMxPcxOfO3duRLNNu4UDN6TpHW2/ZsqdUTgWWREzZBzmRzCS8JrI n3zE5N5Yj17lexJRGI+1i+sHJAHjie8hqw6PJzKc1/nsDBM7VIRNJKQ8XaT0jhpV4T6Fl+kHTHhJ l1o+HvVHqBY4oPqDYbcMgDEmK51ERx18bSEWH5a341GQGH/32YVEme84Fet2kiUHaaUnwDU1fx8Z sWw+GzUEYPcSZgVbrIMaZ8nXZkwcdNXsocfBr7VfkcagKTdPHQowwr7sze7nXUN1Eq4lMo+Kc7iQ 2qTQRbuqwKhNTZXkwoULvN+nnnqKXtWuXbt4z5dH5fiADOu2g8HaSFsTh2fu59848UDEHeLAXeHA WoB8DDYavWSGO7HuutaTKb4HbGPp/DIN1sLinLxz8rTkMyg/AU7qxkRPRWWH96XZbrIWcmHjBtaE nj1zjl4Z1qL3+4tGBPbGReWR8YoAhHB+8H/1pnBtyjtEUkOu2dB9OOyNRDhoIi5rwgB22kdbNBCx wcEKEHGFdK7fetRaUQuxqTWvxitfMHqP64BZUnJNWBnNtUPYI/6XzStoRXCSGHK7d+AhWazIaJQD Lsw4ZCMIz15yGhS4AcFQj0snjJu9q6L70LJG2zC8x2xuVk6cOiFvvnlECsUCNdE3b94kpVJROvUe VR/HjxD7ibvuRAWUCfWw0DtQPbaEPHb+L/mjmcwMO6wge4MNAq4PQEnHKMKJH52wLE6tXEp27dpJ LfdGoyFHjx5jZYB7Gdo4dv1GHR+kodiMLnhHTNB8Vr9SUP6OzD1XVfeZcIMEoD2VkXobpV+RNmD0 GWqDkpIBnpVPy9nTp2Xrzi0yuzAjS2eXtTUdDyxdyAjJGPZ1Owwj5xfn6PmurFQk0UNPu5wMkuqV IEmCdd5qNNkHMdkCLSde+/RggOUmUR8qI9kxpXGkoIaAUi/YLvPcrpn+ZPCZ0V9RaDoIPDD9ObBG cighKx1UBFzvtejYVFzErJQTRlqINuyhMjHhdJ1gkkL6xoQP0FDSZdhSA0mfPnmWXlQ+pz3fmPOD QYJ0MFRItQHaUMzsF+fovSdJncjpnJ5MWsOK4hQyMwvqvidESuWiLGyYlz/8wz+ioTp48FaGW1OF Kam1mlzMLq7HrJRpFuHzOBH+MIyh7YsJJ/ZtpbuiRfZm/XUpJcuyP30zT2ONqxWQTZo4X6xeaYbL 8AuWDmWScuKdE7JaXZUDN+wndnX+/HnZvXsPexJWKiCMWt3YT0s4aCQZgKU4NcFKxxh56nZ6D/1A JnxjzPurN4XyDHjno7ECuWjOPKc+lyqQnjtzThY3bRTZkJDVlSqrMHSN2B/iOHnJFQpSXa2zzi4l GZJQ25DozuflzTffZDi/ZcsWeefkKTl06+3avbuJzaHZaVxKo1Nhxi3M0EXJri5CVpEcOGu29pFh Y4MMhzWibNzkHRnitsP5TlMRZb9EZMCM0pmEt4HoBXWXGgYy4cMu48CGwb+KGziwgDgMDcNSr7C3 47i+knZf/l56jbEPZH5VtE9dCojJM080AFYiDqzJOUwHssleAkECdcCv1OxymDCKIz/2Q4BMdTk/ zZIQKA50oJrJlkS+ac1lszcAFoCQjnInxt/Rm9IFo7i1p04trWnlNxwmP6slI1nZunWz7N27T269 9Rbym9CZF6UuLrfJolt4ME3tZIwOIdrn0CaVaXfdOg1pyJH267KjvNOwCpGXKj+SHAX7NNVN9x3q oWlttwU9dlUVddldxzC0Dxrua7myLBs3bpSTJ0/J3/zN09TBguFCNdzIMAAAIABJREFUobhPdAja f9C9LKWJGJE3lZZWpy2nO6fiU90LiS0zPLyMA6qBg8UjgxGCSn1ZGKalOCqVrAmZSLyP5UoDPmfo O+GwqqxWZGZ2lt4SmPiZqLmqEpihtX7h4pK0am0pUBIZGUXNPAKfffzxx+WGG24gOIyE0/MvPS93 3HqPDJqaokfyaJCGElhD5qc2xn0TfUOjbXqjIY1q27LRumk9w6uUlWAK1iEBE06ht2nJDNbsgqYA ZyErzWZFkikUoCPs0wQWDuVcMS05fja7vXLPKnfPJtbm2Ssboq5MUXPcuAdmwHLQdewhmn3fn4Xy HZ2uomYauvxOTrWcW3TH9Lyif7unOJBmt0ssXEZEJ/3n0TqzBIyHuIARSsWypNWqQXcG+tDD7mZ0 o+auYxEg1aza0WqI+CeD7rba2BLZGT5k6/MXunzueeHdINuCZq0wUPgM4EIIDT/6wMfk//2TPyGY iIWFdOnsrKazkS1ylxeFx8A4WPSZSlMDa7m7LL++8Ft6ckmf0r6fmfo7/DkmB6UoVIcwmgVCRGhZ UWMc4Q9qD8E3M92updWLxKpgnJ5++mnZs2eP3HvvvfLKK6+oVlY+r40kgsU3imN9EI0XiZfWQQgn dguZWDuouzj1Y1AiorPgwarygWJKVxouxlUKJvXbsXXIgxAcCBBVG5IrankN1gd/fwDNrrY0W6gk SBBmcOUEL4tC5ppGzaoMQEmBV3xg3375679+LOaLmTMFvISv5aGsWKvOi/6dyqWlW61pl2dyDtWD 4Lofoa2sN4bqPnn6qk4UMD04AGimAGgDbbxgZLrAiomZ5lhryUoDtJajsdREkvYlNONnpNUhHlY0 Rp6QCQeo8bWow//jjBbKmgcxqnU8Gvc0xw6o93Z7sry8Is16QzIMvdf3QodeDtJx1HcvSvfHriwb IjhvAiBoWtsqhbV9+BIXAUMAgh/wDW0pDsBdS1Bc3gRGwPEynJQ4EUvFgrSaDXKaFjcs8oFMz0xL sViUN4+8qTyrVEIef/wxOXTodmk2G2xHBqHBpYtLcub8O7yeWqkiRzqv8X1XExV5e3BEljoXZdvU LvJwTp46QSztphtvpIImUtxZLDxYfNtkCpwDi+rx+wj7Vt9alccee4yb5YEHHmBIiIwTjBeMVZQl MSP40zBwUodUl7TESZNjjTflXPuMLVjP/sQlG8S9riZ7aKe7hklwrtTjAiO+3WuxEQrCOMwxnnGr 2ZZ2U/s7egqfzUp7Ql23i70lCi7mM6p0iwMmmRnwub399tt8nsePHpNbb75Fkj2UScGz6Bi30cKh ISmduPIB11AqFaRVb0o2De8PBE2v0rCyMwftLdwdtyXdIcA60gNT78HfC4a22W9LNtMldSBltbvE q6zzM9Yieh2SwU+6SEzGdKB6iH9qoJIbS1XpCIUXVZdOddVxjSA8DmR2dk4dhWWtm6VHF7KRh5/m 2O/iswABTc+UFW9E53Ua1cle6OhIO2C2pssGQ7rYI4oKjU3hUAleqjSQAvyOkoA+rHtfXeW+SKcF /KMzFCPjf9lCVs6fvyArSyv0kFCPB2E6qB/UUPicyUh5elpWKxU5fPchdle+8cZb5P77PyQXLlyU I0felOXlirz62uts9wSX+uiFIzKdmJMnvvZdmbp/Vo6XjrKm6vCG+2V5aUke/etHZePiouzcvYN1 ZblMVpqNGt3tDCkSxr9gW2xdOGgMsXv3bj5E/I1FD+9q8+bNUSfn0BMdzbZyGtdVFnj/Db0fxTE1 fot+MsQyuitzryU4tErBn6+GJleemXJiatSaPJlgr8hasyJzCzP0cmvVCgui8YvpVE6KuYLSZEyB FRu40+xIrVpnuIcO5ugjmc9Aj16fw0c+8hE5efKkhoQzMzI7NSftCrwWhJyARJzAOi5bHZNO88WC dEwYEkKPWMe8fyYlgDuZyq4RSsfesyVsms1WFIZH5wBxqTT5kM1+i4frQOLEDg523Pvs3KwsX1il p5fNaENZlSZTOajYj4pZ7M6fdO43nzmvNy7kwQFFheFOVwpl9FRMSmW1Ku1Wl3sVMaDKyYwJ+ycY n16nI9WVikzPzMjChg08NCINvMsckYflN+WLx1O9HoJhaKMEs8yWHVDelbZuQmEpXHCWpoIzgXbj LuZmLHie3om0bNm8RaanZ1hgC++uUqnK88+/wGs/ceJtelHvvHNKZmYflMqJk7Jp0yIVP0E0LZen 5MSJY/LGG29wIeP3nt/1XSkuFuWWG26Wffv2yQvnvy+tPjrg5OTM2bNyw4379XSuV+jVwYht27bD nhEIbw1eC0o3uihP6nak2Wty4aNhKuYDBgsSybjns2fPDpXSuGsfgajvQpbmegx/7iqoqB2UFEC1 DWgH4nRiRjoIFQFYcw2A1Jdhic0wjnX5w2sJsSSBZ6LB7exsmd52ZWVVaqsVdoKhRpaJJZL6EHlo Gs5cOL8kO3aW6LUvX1yWfg9lIymuhaPHjvF5IpyHobl4dkmS3QJP+ihwiHoMrJ0bbkdK6IhMz0xx TdQqLWmBaI0wkvKHPUlkTZgQa37CPGCzMyTqC3XYsS/YYQr7iv0UNfGBelMY7xQ8OdV6YZlRrVaV hflZmSqXpFlrs1qACSvSH8CXRG2hkbyJEfp9KPYVJfd45iiw75Ut5Nj3B1KYynMewYdrNztk0ANj Ux001V4bHZPWPfhxMFKIfOY3LXL/e5u2yw0LiWFppsUJmOA8GFpvIKA/rAhkx4T6ImZxsaaU4cJr plHlUxyD92tRobCk9Np9mSnPy8z0vNYtprLy0Md/Vi4sXSSZ9IYbDkh5akpuveVWTiLcX7j5eKNK ZYWhJjg1W7dskcP33CMvNZ+TR0//O/m5xiNyYMcNksom5Hz3nNxWvlPOnjsnr772qtx7zz3yox/9 iID5gQP75djxY7JhcVGOodnGxYty78/8jBw/elx6vSV+DgwmPLdIoymFBZ+R1dWGLC8t896xEbCy 2FnYdbQDZnRISl2PoDphOQf/tYXAb3j/L/9PgJeNvvLyPe21xcOGx8CDWOpdWPNGTLJAa4vafci8 driItdbGr2LMhwdFy06R8EwvQXx4Hb0OPY+5hQVSFFaXVmhcCoUp/QxIdnO+TSjRtTWTIlnot+UK cuadM7Jh44JMTZeksrQi2WROMv2UrKwsy1f+6iXZum2rzE7PyKbFzTIYpKXbtlDMwzlo+LeaVrfq 8tOKr+l161qGEaQKb69PMT1AUTBayLCrd7VOltA07tUzhaFJRZrs9FRNDYUcwm5P2gLVDMyXGlU0 hkFnaajfYikionEv2J1EvR2jZ4QHif0sJszq81AEDUTxtiTSA3qSzXpLWvW2ZNM5Hky0sZqyjzUM hoZFK8FDJ+G8g4MjT28ODWdxaEQQli/lsdMVv1c6rmmzWNukKkisdO4J51CLOJ1Qh9iWmka05tAX h0QKTjvNQCgZbMLD6ot0m1aSg0li6+60bJiDhrwaRhi8226elkE3Ids378AO4gPcsnkzFwl6B3Za XfnBM0/Lv53532VnZp9subBb8gdycqF1Tr5x4VH5ra3/lTz3zHMUI3z55VfkO995Qu6++245dPA2 KeSn5PjxE3Li7RNy3333sUsQ2pvBOwOgD0zujjvvijxEvR+oYRb0+qxtOhj04JrBrWfxs3XJDrlt mCfIGjtPLVZJQOYqNb7OMHouvph8BcYbX/lH+g/XcY8esC1GYiJhujryduPvx59rGBQacUCTi4fU QEqpkmSTBb7nxe4FJjMQRuNQYaflVF9WVqpKEERdFisZtKnnmkHDpCEIgGZ4GMCPYHZoJNGoNDGQ 8nyZ0AHkZbpthCF5mAG7Nz8YPPhwlrB+hexgq9eiFz2/MCeDubKcP39OssW0HD58t+zfd0BeePFF +YN/94fyqZ9/WG7Ze4ifoRhQXzKQS0oAW0UvRitYZ7VQUkpTJRIi48oG1P2hgiI1LBDI8359bpYK H3a1FNHljCNMx1nuaoyBHQsVMFDOpLgxSsbqFYVQiuWSLLWXBXm7LDvm6H5VyGeUSxlkxU1X3Q0j 6jshJ4Q/81OzvIxapUHvWVVZfJX1mckbf3sxo04fS5dyTPh9Je8iiYO5M15WMoROwrNu9NAbKIbl oDFT/CaJG2Nbjm/hNFMjFallcmMqkK7vF26ASx3vsXY7y3RAYIXhc6Afk9FPskeZpLGoRZrVpkyX ZmhUe+2B3HzzLfLM/HekemFF/p87/kKW9i3L3Oys/JtT/0K2ZLZL5nRRlpeOyc9/8pPMDIHsidIa JARwny+++KLcfvvtMr+wIM+/8IKUylNSbzbk7Pmz1hvQeqNFibAU+UB5VvyrsoXLGzMcBIbS7hBE heuL7BUGaCB+kqlnkOTv4uf1mulkGf2D2li28KOazSjlS9JJ9FyU++JNHeIUdkTPSKwV9ouuITBi YWYTfDUt74jz3Sodoq47wmSEap5JUsLkWoMYfi8cpAHAUGf60uy2JJNTDpOHW3gdMrOlKYRzq4aZ QP5XN5RCFG6ox72/rkMcarVGR1aWV2V+w7yC7smUPPnEE/KDH/5I9u/fJ7/xG78h01Oz0qk7bmYE 0gSUV0vEaZJpxdJQ6oNaRkjGYIziltcCp1xP+A7vnclkyPpWqgauEz0WijRa8FYWNszJmdPnmO1H IiAKIYN96cRrTSpYTOjOBdZXAsoobZmdmaYBXllZUQ4UWrYHh5t7tZOG45D4G94h7ov7QPWHghZu w3Yi1n/XcFkLrOM1zJCQJwVi5oz+Oglo5gLjxOl1Wnwx3W96EOYdRARP3yR+AZdO60blBcEGgowL NjE3LksOwFFBB42kNGsNNahmTPHai3JWnlj+unxh239B5jNoDy9Xn5cvn/5j+Sdb/3u5tXir7N+w n/QJvOamG26SV159hZ/vBcvITMJLAhaGRX7jjTcSMwGwrl6S6j35NQ9RNZh0CG6KbbkyUiyVhgwE G0S225ERY4iZRDsxkBp1A2AwbQ1vrKO1WKFaJY2SlZ6EBkfXH7yS7prvxwYsnvM1NXMjBdt4zgRV g2hztCtSIVmwjkRrn+OloAiA+e0u+h1WpT2oSiZn4D6bN2h4BE13bEqou04VphmGIBRWI6yZLyX5 rl1jeD2kf7KDtBSyRak2KjxEQIPAc960eat8/vO38IB8662jctOBKUklctLVvuaqgtpTGR0QSrnO cYkZ5V/B+2P2PFjjcab9ypMNlxoRGdvWQ5LXo5m8dCaHTsjS67ekulKVmbkZZuAAbAOuSCW7sUPB +tD4WmOHxL12Vc9qtetSKOYZSawsLTHExedQNSHYB5e+busRAIUVqLKA7gRDayRTN0LjjZ4aMSS/ KBIz6EqtXpdGDZ6epWrdLYOHgXAIGRgW96LoGXVYqTRPf76RNT1U7kZYCqAfFqU7L6NWIazBq7dq /IPhcsP4fiGT5yZiwSvamFPqVuSPz/5fsie/Tz65+Av8/JON4/K/HPlv5ZPlX5Cb5FZKzmRTWekD n0AHmVxObj94B+9r/579smv7LoaWrUZL9u3dJ0eOvCVv/vhNxu+9DT05d/YMFVDTmSyNC8M4ekga x8eel903sUBTZQ0Y9PiD7kLFKShbKv5Aw9Sz9mD27/AP8AgNvePT36VQGLhZXzdyyGDYg07V7q0p CXB4E10qa4nNmi1CU9/deSAanbUL0hu+BnV3a6pbJzxv5/EgFR+Vw2irFA70wISRocFgvBSXf0Rl VJOka8yjZYgHBdt0jtmtmdlpzhE+/0tf+pLU6w3ZsW2H3Lz/ZoL47USX/Dy9FqubtRAMOB52LuYZ +yMDvEkS9Go4Z0bJuD5jOOMscFBcZABGHAYlkeFhv3RxWebmZ6U31ZVapUZdKiSPtHTMAP3Am40P OFU6QVYQdb4QpwROi4YWCC+1qcboLCuNdHztr0upIxRU6Id8NYTI5PGp57/mdbzd+HDUyMLy01TD RVLHLCzCvSa7ntS5SC9WGozBy6WyFNHuCsqVFOcL6n8Ayrvw3xD+sgYqHntD4d/wPsCbyea0aaji YxATVBcVJwlUJ5ngGAzkq6t/Kt+pPyb/eMcXpZie4oL/ztJj8k7zhPyPm3+XwKz2NMXEaIU/KCXw UGCQgAmks0r6A3gJY3L7beB5Nan6iYwIvm43BtKsQVmzrQKC0AYH0JrLU6ANzGrI6HjjytFwK8Sj 1NBoNgmJhsyIR+xhpWZT9WuEMrgOeAS6SBOR3I6G5Pq5bExLdQ2tp+v3mzxMVLc9bk7hfyJ12OB6 aQBhXDNoDqHPUZNY4fPU40h5OB7GDIPp645BVwrZLDGyRicpqysXZa68wNOdHi0gCbSaO3te8qAK BDisXqejvOtwgChql2QZiJIhB/Lsc8/JX/3VVwgB7N2zhwfwhz/8gHRbA6lfbFr4r5xBB6Ehj8Lm vwkoj/QklyxIt96jIgjWJ9YpG1z4M77Ohe8Dw/90aMae/6N6SUKqrRqz7cgawpPHNoQ3CIwVqquS USLt6GGFOcIew9oGnQiUj0ajKeXCtEnvAKfTPg7+2espzkfYLT1m5W86Dkyox1j7ISndbnDkfVyo E0ZOD5I0y1hSkHrpcnNg4WCR4w/wg0q9yg8v5EvDxso+wPVqPIYYYnlPmPjIWNlvKN+mpmRTk+ul 222ZSxAEsQCBH8GtfKdzQv5k5d/Kh8sPyic3PMIP+sHqU/KlU38gvzr3D1m1DtxDAe7YHWZhtZUL uuIEvZFkRloNSAZrprNRUfYwmykQFBxIFsZyoN4MBMxbtSb/4KHgvdihOZuRJOovuZC1CJThMzYh dYECGeNIYXTYuPE0MpnogWQkV8hLeVCOPBPH+7Ag4YUAzKRXBIwB0FdOO9F4eA5NKG1yAS8OyhpB gWz0kBxPVPxHBf9jjHFbfjsLyDFWustS79UY2nmFAE5R5/PQyJmi6KQFQDG2gdD7AXCs0IPhmVY/ 1Wq0ZYbhsoe4jtddKvRSuWqQlGHwsUHzpRw5fbfccqtMT08zTY+W7ng2teqKDPow4vr7vZ5342af M8vUYaSklJmiBHFX2lLrVpRfZRrpHiZe6fDs3CUHcw0DrkXKT8MY0Pm0+RkkpZgrSavVkFa2I8VS UarLVZY3Ucq7oyx5hLae7XdMEJ2e8E8QtnlANtDxHLCGrl8esoETonZnfEjOQxmOBlsImS5XAB9w Ddt7OdYdwhIR/OBF6IgwIt4nEhtgE/fgTTS4uJH98TqvXC7LxVVrV6XVa0oxO0USnocd0QLzGeWC 8pTmpU8buLb4zFqrKu1EU/Jp6C95obPdAPAD0hig5ZiSWq8qf7j8b+gO//1tv8UOJfjtf3Xsn8tt +bvkgfwnJIP3MXAv6iBsSsF+WUNET8+QoiECFmwk7zoU81HORu0LKXxG1DCwm4W8YFp3pV6tc9PA 8+IJTL0g9WTYCxASO9mcFmOPrnMzIP6A9aMDMiY7U2dZB6nZWMPIOsDGNLTEddBDhSHtqgxwdwBJ Y/Vetcu2a0l5xx4N+6ZKRev2qBkb1f92LzFgfSdQZ9jSTBoML6gGLEL2g2z86LOtGZ49Ql313XRJ wsMyqV/gmAy7QoqE/n0pnMidHTb0sHIh0GgO33VYlpaX5cWXXpATJ0/I+XPn2bV76+I25VBxz1om LVBDVwMcPh6swpykknXW9XXx3FkP6A8vNrBhBDF+OPanzTvUq3NPY8QY2IGQ4LPTxq/evNbDsxT6 PCZ6xP7KM0WZmi1JfbWp3mAqrcF9t0UjjjCYs4/7Sw6kPI0opWc4UVZrNyGUKXE23+/Ln0ssSeD1 hlqMTal0FDrTWGHtO4XD092mahsIFEbJgIgsZp59QHdgPwCcjtX6qjYpzKhXwN83aQjgAbCQOM1X aqvSyrRkpjxt8ahnodaSKEKMZ/zC0iwFeFcM0YARmTUPGeNocgAxtxzaJiUS8k73hHyv9i3533b+ a9k1vZsT+T+88UU50zwlv774n0sxNXWZsclPMrSpQ6zNrkRLfC6aUmCzYUGwNyHjbS01wcLBCdao qJ4UjUaqp7KypGrkdB7sQY+CozFAaoeDzTN+10OTSFvIMC640/Ac3KusNxpMAADjwSkIr4vqDOhJ iM/PF/h9HOa4p35HeU7hltuU2mpGsiP9NkiPOUmjWzV11CzTNdm9VgzGDKVjcTFTPsFwhEmXCUqw 640YP1Hc0t8f2m07dmyXnTt3SKWyKm+/fUKeeeYZ+dmPzkopOy2NGoqMXYB/3U/Qn/cScuHcMp8V 5htZNSjojtbOXsrAGh/3cu9OolIfBXz8u/6B7DDU73TJ9geeNZhKSHW5LkW0sCc0ggOhI4N0n9I6 y9UVKU+XuPeXzy/JoAtumUYW3hFLo4E4M+p/Qjke5WIqpqoZzfRYYN1xuDhbHUyrtw3zbwRz5BFA GqUPcCNTWYDcAZHNYkyXTYFMDHsWdttyfuk8J6CQL07EEtbLJJAhC+S/VqUaAA4YTDRGJKHMGkUU d/Ylny9RzwiTAu/qgdLPyo7ZnTQIT1z8ujy59A35u/O/LjdmD2ovQydXXqcRxeOI663AVEMzlfpg Q4aUGx3NouJ/CKN4mEYPXXEShnmNrrRqLQ0xaUDS5NdkoYxBY27NWVOGQ4xUKCCU8RbxGpppD0Se yKRJ6MLJ5tGNSMNhfSlCzK404GFTWbalC5WHRVu+svKnMcTqz9QXKyLQVF7ySXi0Vrg7wvsaHRRk A8DbaVJxAdULKjOS5OmvWT5otJm80KV63I0M3wgw4Hgern/VhmW1gdKQW8rTsm3LdpaRtSvBNQ8u YWzsW1OlMr0rXGG9UbVuxuadX2k5VqSOMno0jPnohLaR8/AKQx1l9pfjmgM+2+k2mWwAmxx4LPY4 yocQhkNjrNVtSaW2KuVyiY0+QKhFpQfCSq8i4LoCz26I9G/sARC6+wpHcH0bnUazmCaAYF2wRu9B OYMumhgXWocZ7eGTw8UU0Zew2ybniNbQCjBHOToYSn1QBVIYLgjeY3GXIfmA0MYAZ7eG8aYe93xw 0tek0UJnX93cvDyTf3GiGzwCLCikp3Ht/+fS78rJztvyz3b8IykXZqTWq8nXz3+VGlifKn1OM0rG F7qePlbMM1PyqCcI4HU55yrGCfBwFBiNYnbXw3ftJKcmpDRWx+Jvtho8HLrUPQfj2pqh4nf8kZIa kVavjJ9rBirI3Kr8iWfytOkmwvYUJD1tgBKCNDaGrTviHUhG5Bo52TLYJtMm4De6ibVEyxagpeDX nTsjK3b6XcnnM1KYKg91DeL7W3MIL7i+kuEHHq8tSCqAPsKDgKe+em5Yt9XVmgzamsVygc51PSOr FyQ+IwDjPZQ0bNJw1/BZrx8RRqIt0ffWmTzh+4Wk38gA6Loh/oZwOl2UVrMm1WSVJUQXzl0k/ILQ lbYEeyuXpTYd6Brtegs6sIQWnHflmlZaqhc3lIlUXKIQXde7ww3xuh+dOi1ViugvAfzhHtzo/Xro 6AB9Gic6Ml0Ai7nwAmIYRthSXsE3xKYp6Vta+/zKOTKL0ekWN6kbdf2FhhMUWS14dTCAsXCzqlyy /RIAQklIMY/asbS8UH9GvrL67+ULG/6x7J7Zw1ZiZ+pvyXeXviX/8/Z/Jf0utJGML8JTXq7j0HDO 9dwxcHrh87VSQMubtDejvcQ4MCHBU0lxisExYu8jbAQo3icO5xk9Xxza+89aGrE7s0i9ifbwDQq7 afYxzewn6BoIMSH7E7WwMnhRi2yHkRnHLRVHAliaozeWXc1JuTtDT4rPbtCmZxF6cnEvQlnL8Rmd OYYESPQIy26QVIBGIDdQNhudtACxLyekGvv+wcBhMj1XlmaryfdFBgzJEcwTPi8zl5XKuYZ21dKp uIR3ZJUHfJ7KFYTiJ3oB+j17r0fORaS+MIGG4ZtxvOjt2NF3wmcUCsaG1v+GAS5kS1JZXaWHPr84 L8sXV9RAInRLDGR+bobhNwrK8yk4BeolI/pBLaeWaGldoYfsw2Vm8GQ1YaGJLde2D0Ux10xfwAUM k6sBeTia/xjL4xTBkCJ75VrXTO2a/k8oMeKLwCUl/ELwNWgIsMr9BmRlctpyPoXSAOfLxICa87O0 fyE2pTU35Z+gDaxVsWdTeWJBjX5NHq18WRbTm+XnFj5Dj+Bs67T8s9f+S/m1jf+ZbB5s5e8RvASu Zh2lr2hEHugoJWPENTX5XHhW2GQwuHCz4UURDwqXpvVS8wmPiZwmxsZsSkupCczWoBktQGw1gMQE UKpijHt6oknI+8QGIY2iXT559fL4pyNsuVShdlmDnwWhOxVeBPCObCZAciVGaldl74bkp9kINSPo aHJD+uYIiG/3W2wI6/MTeY++OEc2loZ5avAjsT5b7MWyenk+X366ri3TWA9osjIl3xAsQBY5feaM nD9/Vl56+WXKdcNwLV1Ykn/6T/4bzg2gicttiaUgdBxJAM7otJrSadW0Y00mzRIe4pq2nicPDXWG fyP8l8eo9rsBHMHOPVxYlvq2a+OcalNJrqNqpSLz83MsZF5ZrnBnzs3P0XFAmzrs24ySbGicFCBX vpTaUivtcRXYAGPmVRmhVG0Hj9aoFnn0HpwOEZPM7Vk6lhfhtCGGFZcDpsG9oG4OU8vY6NrEcSjV GLmfa3kSTK0aBb/RabABACapkFM2dPTaKIWJ2+nxwbrVdI/IbwYyFKhdKhamCBR+tfqX8kLjh/KP Nv3XlLsFhvN7x/45U+/3FR8Q6aDURmkMKOG5YmPlkxppOoVZmZhcpyC1gtCQpUFlQBz6xSnacOHp A7TGsK6oSZASwnNNqbeqNCT4HrAWeLwwTA2rLtBGqDozuWxWpnMzQ4TViAdFVUqdx/gactIfgI7R Z70miKpQWOj3EYorTyaDGr0kusf06I3hNEaYDs82hHWc3OnhDkiIhWyeTT/6ieb/39y1hlp2lud3 7b32fe9zn4sOrYUkNa2lpEQdBhWm+TOTgqalJVTpHw3FQpoBzmUBAAAVTklEQVQfLUFphRZCoRV/ WGhTFBT9oVLR2jSgIhMsJaRVmxh7w2rtEBuTMZlzzj5nn31Z+16e533ftb69z95nzpmZiAsmMzln 73X51ve933t53ucRkSiDRviXvLA5M8zQO4ShRLiPfCNCjwEXT6m0xutgsbd2D5R3P1y8rEBjPNwd Ofye+b6swID5iXxZ0k3kzOlTst/alQceeBe9Ty+A4CzoSQ3n943FRNBHlz1ZIS5LYQrM2FQG0wH7 8GgoDWS99ExuwB3awn1bDZgOlc0pgkWV36pghQmsO7RDk+rTLEs4b9UjVyLCZNCT7elENjbWpLFS ZhUQ49Tc2WETshSmMiQXWEAXs+imbxi1LPdK/fcws7U8Ok/0/enf9oe5M9yzGTxOPDhO8Pgjevcx +nyinIaFjiw/Sd0CBwwIBz5WQUzkpgBUKyMscRgEd/OcJL0u+a2U1jYTvvAHI8p7CCHIekoj8tnd j8uvN94tb9k4T0jAl1/5O/mn3afk4dc9KtWxCkZyOMIw5YShxIzyr+dSuPgV4QyPz++VHgorYnoN v9TSMCIV3M0mIDwpGCvwNQ0nIDLDJFQXO0XLB94pro/E6QB9dQgVzStSj089FbxLcvGnjblI1GMM LUyDkSVuCFLqLS094x0ojZkMuiAGHvK7zekeJ0+705KoloUCWUEqYhoAxRhfeDoWwc4oC37OUEon pirfmKdA6uocgcu1elV2t5tomVUs3Fzfm8ZvR4w1Oc2gS6hep2L8InpVL798jSR+aNWpVusy7k9k fDCgJ+v3eexkeTp3rNnccnHHVaM4NENDzvVF14k05AckZnNrU9uVGCKqFBvXd1B15EYFbyu3SkcE niTwVYxgxiNZ29rUseLcVzDLbKrg9h46B3JSLMZEBqiWo1V12XM4JOZykANtkYLZSdUToailmL8Y bSZwtWaxJCe/Ed8pNDkMwzOQdncoo9KYOxrhkOOJdOA248Jxae5BcFB3i1UOGLru5EAe+/EHZCt/ Rt62fpFguGvJi/KlVz4n961flvtq9xMHFKEthSdy7+jmBj2s7uguCwQwWhs0weF9WR6jzx/Lci4O hqN3BQM4RldBT8bTIZPdjkfKyupq2Lx51HMFyJfttZtpKIVQ0vFcgCroJDD3nb1mYApVyAOl1igD BZAwMFo5GhtMYoSehTw8BHjbxGCQOgTv6fnt5+RXqm9OvUR/IjWAUEcxdg9btJ4ot+WvTx6EEPTk uYtqTg7GB+NcrqD1SeTVH/1Yzp59PcGd3XZPoiIqlhlkw9MKGqYuzpHBmOO9wVOEoce/19axOEWe fvppuXLlCrsHrl/fkT/54z9lLgpFiDTp/5M6TnipiYW5vW6P1DfKsKDAZvxTG/Vd9crIBLlbYa7Y +NuF/XPEqrG6mGH+XqvDr450Spr7ssQ7Nhhwz2mbk945dtccCnqB5FpM+gxTxrnZlzUDkCMNh1Gv xhFpPpL2QCuJkSKvtao49z03GBORWqlCbM/X9v9erg7+Wz50+sNy59rPc1C/uf8MPwdEO9DpyJcp OttiZ+PFPtkumdHZ4muYGDAq7Ouz+9VKplHnsJh3uHy/XLlaX9ZoiubSRDq9AwvBQMdjCz79WiYn leUr1HjBuwxfEYF9YLxMoH4t7APLEprGQTQZymiQ9eJpA6pupIPxkNgheLIguIObk9bAQCbnuM0Q 5WzNqxqqZlXkw89sdCkB0MiNKRee19csx8SmY2CmRhOS9a2tbchoPJFBkkgJPEzWUuLKS8sOePLo CcQxGCUESwKPhLHe2tqUzc1NelowWNAMwDkBE/ipUT06Ij0XYcEW8qzqgaOqwFyxVvfTimNQNGNe FaL3455Ua0UyluC7UPTGx3a2r+tmyI3MG6xfu0dT5mlN4cObhphIqYLcmXKjgnsrS767UQ2jvkhh DSXng77RiB1xuFXXsieznST3YqMwwGrs2jbLCuqWBcYROBDspoAy7I6uyzOdf5TLtXfKvZtvZf8e zv+JFx+Xh07/vsQJJnEseeRu4HHkbsGlt9w6kL4qDusUOhEJx7zRF4+lXF3qfc28jCOMvSLQh8S+ dJIe3Vx6P0y2B0ntmXNk5XCdiAYWDUKyrO/tMO7Hq1VeYnbqYQPy6ESIJnLQbXFX3dw4ReZ25bb3 6yt4sBCh+hpJf5LIv7ee07FwXiUz4vNwmPl7yn6XLSg1rs4pjr5RELyViLYulRJZXVuVvd0mw+c4 Uh3CrPl58VgrUHQqOSjfDIeystZgiAkRXNALwaMEqv/atWvy/e//IPM0ggLTiXFUt+04+noI/Zii ALAXKkC5AhucU6CubXxZoUPzyjlQjjca0k/6st9sS1xIZG19lVQ5/WTIHBzWEfNHr+Xj4Tbz6G4B SgAkCyMxpqYsXztnf7L3oHcWK2OmwhWUkvXkEZUnk8OyvQKqjOkQVSpS2SqvFnvZbHclCM7DpYmQ mgWT6lt7z/Bn7zn7ECmRO9OOPPT8b8q9jfNysXqZsmRgYlDKjQx7dDIFZq/6waBoWOzfp1dFzJLl qoxuxyt983N52eTWPj6wMgxtfKbMMcELZc+ku/VBFSxz3b3KOLtz+osMXyjLzzREulN6XiuThLEN hBuJVunoKaHTv6/NsQQP05syXFRa5lOeclwLyVn0/2lblkm7pe0h2dxBaBgtMQLqnDmVkVWNGPaC nx9V11j2my0adHD2g3lgPM5JFGcG+DDIMqs4oU0KRqmxqhjBH730IsUpQG+9uQmSyEje+Ma75bvf /Z55oQFUwNbGzYjEejivY3h8b+W4ueycYfEcT6ZOBmJBG3/baFSmD32jfclFI1lZh+rURLqtvlSK DemPQHM0ktoKJP4OZDAYSzHGhgDjl8FmbvcBfju+O1Asw6vL8BgcNy1oZTAHPbQTQ3+CtZNbkWIM maREogiKyEaiZ4lOL1PzhS5blI64TfnM7UIhj7QzH7KXTPFWMFY+8dGCUypU6V39R/Jt+VLrM/K+ rUdkc+U0Dd6VV74se8OmvPvce9laAOR7Viady5Ok1c1sAdFbSKuAqNKB0cDRycorr7gn28VTtG+g rpYm12/sybGfDfQaYCEF93ixwuQyzqb0w1bhc5L0cDwDDFwo9upjvRDYO1E6FXWitGk1fPGz1VpN EKtBMiFMTiT8PGxuNOVdDyWtA4HqNBP0TCrLAbnMXXzX/g5uOBsTLKyUl8kpegzSAlEDy8PAk6qW wDa6R/K9+mqDSjloD0ObFrwBXayG+2FFDu8U+aqB5Is5WW+scgHs7rYklrKU6xBRvUoBClU7sj7P FO+TeW5pj5yN3/x7DudX8MY1UQw6FYqKm4DHEYvfIQTE8PLjC5SR0xAYm7spjQPBD9AqvUOfoy4A gjWoCexRNCb7Ak4BgCzeIcO/uCrdLiqZEDUuSavZlekEGyrCs0zW7GZwcEcdaWGVHhXWvibddW2N qLqFop2nM/CFpD+g2C4tBirMj36oJZ/+2BYnAtDngwThiua1CFpkngTVp3lOHFm6iGYf2OHTs4uG LqAxW4LQDYsXVScM4uPX/0JOx6+TC5tvZ1L5h72r8rcvf0o+cufHZKN32kCFx7mfzDvxJktMCoQK mNxuDNxIZejwW3sxihvRXjucD0UHvojAczrONRw0ykVggM8MSDo71t57mO5LVtZfdqjhsXOkPzNv JyXjy37D/1r5/Z7SW/hsqPYW4zL76sCJPiB3uCZ543KeoRiS/WQWcArgmTvIYCNIjOO6xAQO0Hhf lQghdLvDXEfxVIHwBJThUS1leG4QFpT7MUdhgOr1Kj1yeBD7O/DS8mwUx3i4gIhuBHm5cOGC7vgj SJll74W4MMwUei6LcpKZmtR0wRixguuZ0TTaWP4ejn9Ehz4fOiOcdXQy0EKXEDCLMYEQh4uEwCAV AAIfjaRFNlaIWEDko6tq31iTRuF0u48s2FvwHKSYSiQC4y1CfyhZTwE5iWQyROHFCknP/9tQPv+F trznwVV2aKOnLBmBEytrcHTZq3nmyaU3Ngcom1UgsXqTGRSveAG3BW7wT+98XK6PXpH3n/5D4rDw uU+9+DeylluXRn9dObaLSqB2o+R6GuKhB4+7jnk8pL0AiLJIN1sZHfCWZo3g0R7U4gqVng8CAQCE gsIWXe8GtA2cqRvtXqHRdyAsruhu83xuKAxng7PILR/Bq/MwrJyvGAULwjfg3wIaZ/s7GXZlv9WS WrXKxL4q6zguz3fVrIE27SE1DUvkM0EnlPQPiBcCCyZAupVahVVbZ4kA+BhdGq6jh/uCwsvBfkeq 1n0B6a+piQSD8hcq3ltbp+QNb/hZGfaAPwrUms3TCcNb/3kIMtOcYsAURp56a7qmx6gKUsQd3gws cNGriNKLzb1Zy2WCJz0/ZcscQLiFUpFGCR8uoDF7lBnkcqzV6e5Bn3m+Qjkv3U6b9N+kVp4cl87n Zh5kdl5ZuMEfAiEAD5piNYjjpwMKm8RRSUkFzr+1Ip/7Ykfu+eWy/NLdKqFUGOWpAEI2TFKGKEbo pAyiSKLiQJjg8kRMWDv3EbwHtNTki1ItVeVq8j15unNF3rvxsJw/9TZitb766j/I8/vflEfO/JGU RxVrv/FwYvH9pInZNAcEHBXwXXB7o7SFh4wGqREOOMqP8YIWAWtxAACJfJjTPGvhNNOAO44R8QXM 9iSOl8gQrAmgMgk0IrM/ypMe2irlPb+ZAkRIi6ILMZX58s+k3fsaQrr6c0ZBMpVysUboRqfVk0lV yABAdWMrHoRHamiN6wtEQsRpgSW2iCR5X7Z3tglrgQ4f4Bhsck+T5boK2+0DNvwiL1urVNkyg9oI NSTzE3n22X+Vc+fOyR133Cm7u0156qmvy8V3XKSohm+uaeLaMVXh5mDo/mwU7HcBAwUauhFa+XcA GTmk+XkLx9Su7YGr/lDzq0g5DAYJjU+pWmbuD1VXpE8AHEbeyBtLcCL06HaTtvQ6wL5VmGdNGUIj dFR4g/LtPTKlgtmf6Ihj47LKOt8FNgCF/NDDevwvz8mld12Vf/5WT+6+C9YtlmqxxoR2H+DGpMNJ VKogZ3R0Rj5MBFNR2WiAIYHFthAsYOPOwYHf4WYBMEUi95M7fyU/E/+c3H/2Acre/2f7O/LXP/yw nK+/Q96Uv0cKObWynnRdBiPwQfCiAwwIYnryw6Opk03WKrbgfFkeYh53N5mvJGnoptdRGIRyHIWV Pf3cjc+tzJ9KS40JB8ZIkhKWUbF0rmylUkaiHTuRoqt1R8ciBgQiw3Hd/HFt/NKC/jU1FN7Kkj5e yn4DAsBYqoUaqXuTTsJxqdYAelUg6+xYqmdFJlRQDRVLtskMafQQUq+sr2hlNVeQ/f0D6QGjZeNe rpUp3Q5Q5LA8lk6na+ILet+E2RTy0mw2yTgKCTf0WX7jG//CTbFc08WpoGv1mqgn6O0pvMngfkfu gQUQAkqiYYzGhJeQr4o9he6N3YYj8k7g4FVYxIm0wWgChWyoK9ekA6xWty+lQgXLXOEk5unjmbkZ TlEFL0n7oMvKPWhm2gcJK/oRYTw2f0/El7H8OHSOwPgDz8cKL+Y90hukxtJr66ag6yI+dSYnj3/0 rLzv/S/LOy9X5MyWqtVQ1qekfWZQYx4A81QwipOjQiUTj4R3VS4WpR4XiKcB/TIUngslpUrB57Dg kGRHL9YL/f8l19UHzj0mq/U1opy/ev0JqeXr8sipD5Iigy42m5vdezqqGpgl71A+Zc9XAZmKDK0d LsLMWDkGJH2i5c/qOS/k+VBlnGoeBc+jEI/gs+H30p17+XkxRipIMWYeD6wYNNaGY3GqaMeQDT1J mXTp5fnz3bjaNXtnaUXG/oY8GX8D62/P4+wU6XeDUMUrwNQYnMZSLuRlmMtJt3fA6l293mAomZU/ tOoKdRpdVNoDB7aKuDSVVfBMgawQ4Uu3K91Okx42wnn11Ccy6A1ku7sj1VpFGg0YtoJ09jrkIwcf PzX2JKKc25NPPsmWHFSiL126pPoAo2zHV2NlQaE9VzrOc/kqzcsHi5n/AL8ZOPGtr45sGUds8ke8 mUVTe5r+zD1VheGgYRlGpwZx1yHUmHpSLlTSApo5gtq1gbKoq0tDeScukD9rdWOVvcGdA/RVjuhE 6AZ0u+mfD5/LG1TYS4+WYBbEXIwa11f4TIy8wl13VuQXf6EsX3iiLQ//ribmDI/Axt7iiua2IBCh KFV4EF6ythvg+OnLQ5jH/Abks3Ogh4Gs+Jh9hkOUVMfmDVDZpCKvjl+SR689JL+x8dty7+abedMv dH8g/9X6jvzeqT+QQYLBKynPFVzE0Jj4ky4YEHJVjzTxTZkiemeLBv5oI7Uo9AtL6HCjaf2BMXOy /XBHTheCLmYYULAiILFL/bgwzEjTJFArGjO3V4OxcjEGuP8IdTjWWVd7THWRiYxz4Erv8jwAGR6C S7hBSkvwDhhU8B7rTcH9+OEM7vo/zveubRPh/Es9TgfEYvOLipRRn7AFSQJjbng2vlMN7VAJA5Np oRzTq0JTcbvZIrsHICZgFVCGTu1j1RmHxPuQlNWgxMGiBTtBa78lw3HClAOS9QgHH3zwQeZ4MD9X 6iuSdPqHqFDS5ub56XAsR8krfZkc27JD60CWJonAkKqstzrGGHH03OpJyFOXs9DJwlXK0UdjNs1j LGqrK6Q677b7Ui4gJHZvNtBcCB4CZhnrP85VSGWE8L1ar8iwBFhIT3JxheG5l2Nu/fC5oRsCmUs9 tWMU0LppORjWYFH8quZAqZpz9mxR7vvVhvzZn78qvSSSRx/eyKpmxqJQrSB/pGRo3V5Xxnn1WOBx YRE5yh0hCojTgE6Gl6bxvIpM1quxjMZFgtnAqY3qDQziV5pP8AF+68zvaBtPLieP/c8H5WLjstw1 fVMqDuCLc8armoMzhIlvhqUUVQDoFIRuyC+ccIgXKs9oUyl+h+Qv7gk7dghwm39NNCD5PKW+AW6Y WmXL00NpvsC9xwjVrQoTx2yZGatIg+/qfm/pFcaYZH0mliDewN6sAYyoyoPNV3GzznsNKdLU0hEz E10K/9d7QS4gYjMq6+UD503oBmEZDaVcV/CvH54o5+Iz8khS80xGsr66zrFo7R2wGATISwY3CQyB PQt0+MYkARxKc3tPzp7ektXVhuzs7lgT9IhCuZBxe+7bz8rO9q7cf+nXFK6RcsvcjuP44Z+/d1CU Yy/Og8zRqHr4rllIwRzRzSIyDymVVM9NVBxl2pe1lTVCdaBzyWrfMXOXBHQAJxkX6QXDEQHBYbO5 Z+1NKujBJ1sgEXeiI3BQ5+E68x9ZNo7/D7hfWwdJq76pAAAAAElFTkSuQmCC