20231201 16060200 1.0 FALSE cortosia.GISCTM12.APEE_Priorizados_CerMinero_MULK_2023 002 Server=SRV-DES-001-IT; Service=sde:sqlserver:SRV-DES-001-IT; Database=cortosia; User=GISCTM12; Version=sde.DEFAULT ArcSDE Connection Projected GCS_MAGNA Linear Unit: Meter (1.000000) <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>PROJCS[&quot;MAGNA-SIRGAS_Origen-Nacional&quot;,GEOGCS[&quot;GCS_MAGNA&quot;,DATUM[&quot;D_MAGNA&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,5000000.0],PARAMETER[&quot;False_Northing&quot;,2000000.0],PARAMETER[&quot;Central_Meridian&quot;,-73.0],PARAMETER[&quot;Scale_Factor&quot;,0.9992],PARAMETER[&quot;Latitude_Of_Origin&quot;,4.0],UNIT[&quot;Meter&quot;,1.0]]</WKT><XOrigin>-618700</XOrigin><YOrigin>-8436100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem> MAGNA-SIRGAS_Origen-Nacional Merge predios_cortolima_2020_final;Cobertura D:\Documentos_Asus\Documents\ArcGIS\Default.gdb\predios_cortolima_2020_1 "Id "Id" true true false 19 Double 0 0 ,First,#,predios_cortolima_2020_final,Id,-1,-1;Shape_Leng "Shape_Leng" true true false 19 Double 0 0 ,First,#,predios_cortolima_2020_final,Shape_Leng,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0 ,First,#,predios_cortolima_2020_final,Shape_Area,-1,-1;PREDIO_1 "PREDIO_1" true true false 254 Text 0 0 ,First,#,predios_cortolima_2020_final,PREDIO_1,-1,-1;ÁREA_Has "ÁREA_Has" true true false 19 Double 0 0 ,First,#,predios_cortolima_2020_final,ÁREA_Has,-1,-1;MUNICIPI_1 "MUNICIPI_1" true true false 254 Text 0 0 ,First,#,predios_cortolima_2020_final,MUNICIPI_1,-1,-1;VEREDA "VEREDA" true true false 254 Text 0 0 ,First,#,predios_cortolima_2020_final,VEREDA,-1,-1;CUENCA "CUENCA" true true false 254 Text 0 0 ,First,#,predios_cortolima_2020_final,CUENCA,-1,-1;PROPIETARI "PROPIETARI" true true false 254 Text 0 0 ,First,#,predios_cortolima_2020_final,PROPIETARI,-1,-1;AÑO_DE_AD "AÑO_DE_AD" true true false 19 Double 0 0 ,First,#,predios_cortolima_2020_final,AÑO_DE_AD,-1,-1;INVERSIÓN "INVERSIÓN" true true false 254 Text 0 0 ,First,#,predios_cortolima_2020_final,INVERSIÓN,-1,-1;INVERSI_1 "INVERSI_1" true true false 19 Double 0 0 ,First,#,predios_cortolima_2020_final,INVERSI_1,-1,-1;NÚMERO_FE "NÚMERO_FE" true true false 254 Text 0 0 ,First,#,predios_cortolima_2020_final,NÚMERO_FE,-1,-1;MATRICULA_ "MATRICULA_" true true false 254 Text 0 0 ,First,#,predios_cortolima_2020_final,MATRICULA_,-1,-1;FICHA_CATA "FICHA_CATA" true true false 254 Text 0 0 ,First,#,predios_cortolima_2020_final,FICHA_CATA,-1,-1;Layer "Layer" true true false 254 Text 0 0 ,First,#,Cobertura,Layer,-1,-1;NOMBRE "NOMBRE" true true false 50 Text 0 0 ,First,#,Cobertura,NOMBRE,-1,-1;AREA "AREA" true true false 19 Double 0 0 ,First,#,Cobertura,AREA,-1,-1;PERIMETRO "PERIMETRO" true true false 19 Double 0 0 ,First,#,Cobertura,PERIMETRO,-1,-1;AREA_2 "AREA_2" true true false 13 Double 2 12 ,First,#,Cobertura,AREA_2,-1,-1" Merge 'D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp';'D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp';'D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN1.shp';'D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp';'D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp';'D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp';'D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp' C:\Users\fredy-mayorga\Documents\ArcGIS\Default.gdb\LA_ESPERANZA_Merge "OBJECTID "OBJECTID" true true false 10 Long 0 10 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,OBJECTID,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,OBJECTID,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,OBJECTID,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,OBJECTID,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,OBJECTID,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,OBJECTID,-1,-1;Id "Id" true true false 19 Double 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,Id,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,Id,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN1.shp,Id,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,Id,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,Id,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,Id,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,Id,-1,-1;Shape_Leng "Shape_Leng" true true false 19 Double 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,Shape_Leng,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,Shape_Leng,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,Shape_Leng,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,Shape_Leng,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,Shape_Leng,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,Shape_Leng,-1,-1;PREDIO_1 "PREDIO_1" true true false 254 Text 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,PREDIO_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,PREDIO_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN1.shp,PREDIO_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,PREDIO_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,PREDIO_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,PREDIO_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,PREDIO_1,-1,-1;ÁREA_Has "ÁREA_Has" true true false 19 Double 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,ÁREA_Has,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,ÁREA_Has,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,ÁREA_Has,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,ÁREA_Has,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,ÁREA_Has,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,ÁREA_Has,-1,-1;MUNICIPI_1 "MUNICIPI_1" true true false 254 Text 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,MUNICIPI_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,MUNICIPI_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,MUNICIPI_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,MUNICIPI_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,MUNICIPI_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,MUNICIPI_1,-1,-1;VEREDA "VEREDA" true true false 254 Text 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,VEREDA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,VEREDA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,VEREDA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,VEREDA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,VEREDA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,VEREDA,-1,-1;CUENCA "CUENCA" true true false 254 Text 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,CUENCA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,CUENCA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,CUENCA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,CUENCA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,CUENCA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,CUENCA,-1,-1;PROPIETARI "PROPIETARI" true true false 254 Text 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,PROPIETARI,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,PROPIETARI,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,PROPIETARI,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,PROPIETARI,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,PROPIETARI,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,PROPIETARI,-1,-1;AÑO_DE_AD "AÑO_DE_AD" true true false 19 Double 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,AÑO_DE_AD,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,AÑO_DE_AD,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,AÑO_DE_AD,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,AÑO_DE_AD,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,AÑO_DE_AD,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,AÑO_DE_AD,-1,-1;INVERSIÓN "INVERSIÓN" true true false 254 Text 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,INVERSIÓN,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,INVERSIÓN,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,INVERSIÓN,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,INVERSIÓN,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,INVERSIÓN,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,INVERSIÓN,-1,-1;INVERSI_1 "INVERSI_1" true true false 19 Double 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,INVERSI_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,INVERSI_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,INVERSI_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,INVERSI_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,INVERSI_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,INVERSI_1,-1,-1;NÚMERO_FE "NÚMERO_FE" true true false 254 Text 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,NÚMERO_FE,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,NÚMERO_FE,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,NÚMERO_FE,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,NÚMERO_FE,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,NÚMERO_FE,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,NÚMERO_FE,-1,-1;MATRICULA_ "MATRICULA_" true true false 254 Text 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,MATRICULA_,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,MATRICULA_,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,MATRICULA_,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,MATRICULA_,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,MATRICULA_,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,MATRICULA_,-1,-1;FICHA_CATA "FICHA_CATA" true true false 254 Text 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,FICHA_CATA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,FICHA_CATA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,FICHA_CATA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,FICHA_CATA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,FICHA_CATA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,FICHA_CATA,-1,-1;Layer "Layer" true true false 254 Text 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,Layer,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,Layer,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,Layer,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,Layer,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,Layer,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,Layer,-1,-1;NOMBRE "NOMBRE" true true false 50 Text 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,NOMBRE,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,NOMBRE,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,NOMBRE,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,NOMBRE,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,NOMBRE,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,NOMBRE,-1,-1;AREA "AREA" true true false 19 Double 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,AREA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,AREA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,AREA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,AREA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,AREA,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,AREA,-1,-1;PERIMETRO "PERIMETRO" true true false 19 Double 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,PERIMETRO,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,PERIMETRO,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,PERIMETRO,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,PERIMETRO,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,PERIMETRO,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,PERIMETRO,-1,-1;AREA_2 "AREA_2" true true false 19 Double 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,AREA_2,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,AREA_2,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,AREA_2,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,AREA_2,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,AREA_2,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,AREA_2,-1,-1;Shape_Le_1 "Shape_Le_1" true true false 19 Double 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,Shape_Le_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,Shape_Le_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,Shape_Le_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,Shape_Le_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,Shape_Le_1,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,Shape_Le_1,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0 ,First,#,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LA_ESPERANZA.shp,Shape_Area,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\LAS_BRISAS.shp,Shape_Area,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PITALITO_ELPLACER.shp,Shape_Area,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN4_LAHOLANDA.shp,Shape_Area,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\MACHIN3_ELTABLAZO.shp,Shape_Area,-1,-1,D:\CORTOLIMA\Declaratoria NuevaAP_Machin\ArcGis\Predios Machin Banco Tierras\PRIMAVERA_AGUASCALIENTES.shp,Shape_Area,-1,-1" FeatureClassToFeatureClass Predios_Machin "Database Connections\GIS.sde\cortosia.GIS.BD_AreaProtegida_EcoEstrategico" RFPR_Machin # "OBJECTID "OBJECTID" true true false 10 Long 0 10 ,First,#,Predios_Machin,OBJECTID,-1,-1;Shape_Leng "Shape_Leng" true true false 19 Double 0 0 ,First,#,Predios_Machin,Shape_Leng,-1,-1;PREDIO_1 "PREDIO_1" true true false 254 Text 0 0 ,First,#,Predios_Machin,PREDIO_1,-1,-1;MUNICIPI_1 "MUNICIPI_1" true true false 254 Text 0 0 ,First,#,Predios_Machin,MUNICIPI_1,-1,-1;VEREDA "VEREDA" true true false 254 Text 0 0 ,First,#,Predios_Machin,VEREDA,-1,-1;CUENCA "CUENCA" true true false 254 Text 0 0 ,First,#,Predios_Machin,CUENCA,-1,-1;PROPIETARI "PROPIETARI" true true false 254 Text 0 0 ,First,#,Predios_Machin,PROPIETARI,-1,-1;AÑO_DE_AD "AÑO_DE_AD" true true false 19 Double 0 0 ,First,#,Predios_Machin,AÑO_DE_AD,-1,-1;INVERSIÓN "INVERSIÓN" true true false 254 Text 0 0 ,First,#,Predios_Machin,INVERSIÓN,-1,-1;NÚMERO_FE "NÚMERO_FE" true true false 254 Text 0 0 ,First,#,Predios_Machin,NÚMERO_FE,-1,-1;MATRICULA_ "MATRICULA_" true true false 254 Text 0 0 ,First,#,Predios_Machin,MATRICULA_,-1,-1;FICHA_CATA "FICHA_CATA" true true false 254 Text 0 0 ,First,#,Predios_Machin,FICHA_CATA,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0 ,First,#,Predios_Machin,Shape_Area,-1,-1;Area_Ha "Area_Ha" true true false 19 Double 0 0 ,First,#,Predios_Machin,Area_Ha,-1,-1" # Union "'D:\SIG_2023\PRIORIZACION AIA\AP_EE_PRIORIZACION.gdb\_1RFPR_Machin' #;'D:\SIG_2023\PRIORIZACION AIA\AP_EE_PRIORIZACION.gdb\_2AreaProtegida_RUNAP_MULK_2021' #" "D:\SIG_2023\PRIORIZACION AIA\AP_EE_PRIORIZACION.gdb\_1RFPR_Machin_Union2" ALL # GAPS CalculateField _1RFPR_Machin_Union2 NOMBRE "Machin" VB # CalculateField _1RFPR_Machin_Union2 CATE [categoria] VB # CalculateField _1RFPR_Machin_Union2 CATE "Reservas Forestales Protectoras Regionales" VB # CalculateField _1RFPR_Machin_Union2 TIPO "Areas protegidas RUNAP" VB # DeleteField _1RFPR_Machin_Union2 FID__1RFPR_Machin;OBJECTID;Shape_Leng;PREDIO_1;MUNICIPI_1;VEREDA;CUENCA;PROPIETARI;AÑO_DE_AD;INVERSIÓN;NÚMERO_FE;MATRICULA_;FICHA_CATA;Area_Ha;FID__2AreaProtegida_RUNAP_MULK_2021;objectid_12;nombre_1;id_pnn;categoria;territoria;resolucion;escala;organizaci;fecha_act;url;wkid;app_id;record_id;centroid_x;centroid_y;fecha_regi;validado;perimetro_;globalid;administra;sde_state_;MUNICIPIO;VEREDA_1;FOTO;Area_Has Union "_1RFPR_Machin_Union2 #;_3PNRAnaimeChili_Zonificacio1 #" "D:\SIG_2023\PRIORIZACION AIA\AP_EE_PRIORIZACION.gdb\_123RFPR_Machin_Union" ALL # GAPS Union "_123RFPR_Machin_Union #;_4ParamoNevados_Zonificacion #" "D:\SIG_2023\PRIORIZACION AIA\AP_EE_PRIORIZACION.gdb\_1234ZONAS_Union" ALL # GAPS CalculateField _1234ZONAS_Union NOMBRE "Paramo Nevados" VB # CalculateField _1234ZONAS_Union TIPO "Zona de Paramos" VB # CalculateField _1234ZONAS_Union TIPO "Areas protegidas RUNAP" VB # CalculateField _1234ZONAS_Union TIPO "Zonas de paramos" VB # CalculateField _1234ZONAS_Union CATE "Zonas de paramos" VB # CalculateField _1234ZONAS_Union TIPO "Areas de importancia ambiental" VB # Union "_1234ZONAS_Union #;_5ComplejoParamo_MADS_MULK_2 #" "D:\SIG_2023\PRIORIZACION AIA\AP_EE_PRIORIZACION.gdb\_12345ZONAS_Union" ALL # GAPS CalculateField _12345ZONAS_Union NOMBRE [Complejo_paramo] VB # CalculateField _12345ZONAS_Union TIPO "Areas de importancia ambiental" VB # CalculateField _12345ZONAS_Union CATE "Complejo de paramos" VB # CalculateField _12345ZONAS_Union CATE "Complejo de paramos" VB # Union "_12345ZONAS_Union #;_6HumedalPlanManejo_ #" "D:\SIG_2023\PRIORIZACION AIA\AP_EE_PRIORIZACION.gdb\_123456ZONAS_Union" ALL # GAPS CalculateField _123456ZONAS_Union NOMBRE [NOMBRE_GEO] VB # CalculateField _123456ZONAS_Union CATE "Humedales PM" VB # CalculateField _123456ZONAS_Union CATE "Humedales (plan de manejo)" VB # CalculateField _123456ZONAS_Union TIPO "Areas de importancia ambiental" VB # Union "_123456ZONAS_Union #;_7BosqueSeco_IAVH_100K_2012_ #" "D:\SIG_2023\PRIORIZACION AIA\AP_EE_PRIORIZACION.gdb\_1234567ZONAS_Union" ALL # GAPS CalculateField _1234567ZONAS_Union CATE "Bosque seco tropical" VB # CalculateField _1234567ZONAS_Union TIPO "Areas de importancia ambiental" VB # CalculateField _1234567ZONAS_Union NOMBRE "Bosque seco" VB # Union "_1234567ZONAS_Union #;_8ECC_CORTOLIMA_25K_2018_Era #" "D:\SIG_2023\PRIORIZACION AIA\AP_EE_PRIORIZACION.gdb\_12345678ZONAS_Union" ALL # GAPS CalculateField _12345678ZONAS_Union CATE "Estrategia Complementaria de Conservación" VB # CalculateField _12345678ZONAS_Union NOMBRE "Yavi Pocharco" VB # CalculateField _12345678ZONAS_Union TIPO "Areas de importancia ambiental" VB # Dissolve AIA_EE_PRIORIZADOS "D:\SIG_2023\PRIORIZACION AIA\AP_EE_PRIORIZACION.gdb\AIA_EE_PRIORIZADOS_V02" TIPO;NOMBRE;CATE # MULTI_PART DISSOLVE_LINES Union "AIA_EE_PRIORIZADOS_V02 #;FormatoPrediosV2_Erase #" "D:\SIG_2023\PRIORIZACION AIA\AP_EE_PRIORIZACION.gdb\AIA_EE_PRIORIZADOS_V02_Union1" ALL # GAPS CalculateField AIA_EE_PRIORIZADOS_V02_Union1 NOMBRE [predio] VB # CalculateField AIA_EE_PRIORIZADOS_V02_Union1 CATE "Predios de CORTOLIMA" VB # CalculateField AIA_EE_PRIORIZADOS_V02_Union1 TIPO "Areas de importancia ambiental" VB # DeleteField AIA_EE_PRIORIZADOS_V02_Union1 FID_AIA_EE_PRIORIZADOS_V02;FID_FormatoPrediosV2_Erase;portada;fecha;municipio;vereda;predio;szh;cuenca;matricula;fichacatastral;expediente;area_escritura;nombre_funcionario;noombre_visita;telefono;antecedentes;observacionesfinales;comentarios;CreationDate;Creator;EditDate;Editor Union "AIA_EE_PRIORIZADOS_V02_Union1 #;ZoniAmbiental_POMCAS_Erase #" "D:\SIG_2023\PRIORIZACION AIA\AP_EE_PRIORIZACION.gdb\AIA_EE_PRIORIZADOS_V02_Union4" ALL # GAPS CalculateField AIA_EE_PRIORIZADOS_V02_Union4 TIPO [ZO_US_MA] VB # CalculateField AIA_EE_PRIORIZADOS_V02_Union4 CATE "Conservacion y Proteccion Ambiental POMCA" VB # CalculateField AIA_EE_PRIORIZADOS_V02_Union4 NOMBRE [DESCRIP] VB # CalculateField AIA_EE_PRIORIZADOS_V02_Union4 TIPO "Areas de Proteccion" VB # CalculateField AIA_EE_PRIORIZADOS_V02_Union4 TIPO "Areas de Restauracion ecologica" VB # CalculateField AIA_EE_PRIORIZADOS_V02_Union4 TIPO "Areas protegidas" VB # DeleteField AIA_EE_PRIORIZADOS_V02_Union4 FID_AIA_EE_PRIORIZADOS_V02_Union1;FID_ZoniAmbiental_POMCAS_Erase;CAT_ORD;ZO_US_MA;SZO_US_M;NOMENCLAT;DESCRIP Dissolve AIA_EE_PRIORIZADOS_V02_Union4 "D:\SIG_2023\PRIORIZACION AIA\AP_EE_PRIORIZACION.gdb\AIA_EE_PRIORIZADOS_V02_Union5" TIPO;NOMBRE;CATE # MULTI_PART DISSOLVE_LINES FeatureClassToFeatureClass AIA_EE_PRIORIZADOS_V02_Union5 "Database Connections\GISCTM12.sde\cortosia.GISCTM12.BD_AreaProtegida_EcoEstrategico" APEE_Priorizados_CerMinero_MULK_2023 # "TIPO "TIPO" true true false 50 Text 0 0 ,First,#,AIA_EE_PRIORIZADOS_V02_Union5,TIPO,-1,-1;NOMBRE "NOMBRE" true true false 250 Text 0 0 ,First,#,AIA_EE_PRIORIZADOS_V02_Union5,NOMBRE,-1,-1;CATE "CATEGORIA" true true false 250 Text 0 0 ,First,#,AIA_EE_PRIORIZADOS_V02_Union5,CATE,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0 ,First,#,AIA_EE_PRIORIZADOS_V02_Union5,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0 ,First,#,AIA_EE_PRIORIZADOS_V02_Union5,Shape_Area,-1,-1" # FeatureClassToFeatureClass APEE_Priorizados_CerMinero_MULK_2023 D:\SIG_2023\OCTUBRE\SUMAPAZ\SUMAPAZ_OK.gdb APEE_Priorizados_CerMinero_MULK_2023_Octubre # "TIPO "TIPO" true true false 50 Text 0 0 ,First,#,APEE_Priorizados_CerMinero_MULK_2023,TIPO,-1,-1;NOMBRE "NOMBRE" true true false 250 Text 0 0 ,First,#,APEE_Priorizados_CerMinero_MULK_2023,NOMBRE,-1,-1;CATE "CATEGORIA" true true false 250 Text 0 0 ,First,#,APEE_Priorizados_CerMinero_MULK_2023,CATE,-1,-1;Shape_STArea__ "Shape_STArea__" false true true 0 Double 0 0 ,First,#,APEE_Priorizados_CerMinero_MULK_2023,Shape.STArea(),-1,-1;Shape_STLength__ "Shape_STLength__" false true true 0 Double 0 0 ,First,#,APEE_Priorizados_CerMinero_MULK_2023,Shape.STLength(),-1,-1" # FeatureClassToFeatureClass APEE_Priorizados_CerMinero_MULK_2023_Octubre D:\SIG_2023\NOVIEMBRE\AP_EE_MINERIA\APEE_CMINERO.gdb APEE_Priorizados_CerMinero_MULK_2023_Nov # "TIPO "TIPO" true true false 50 Text 0 0 ,First,#,APEE_Priorizados_CerMinero_MULK_2023_Octubre,TIPO,-1,-1;NOMBRE "NOMBRE" true true false 250 Text 0 0 ,First,#,APEE_Priorizados_CerMinero_MULK_2023_Octubre,NOMBRE,-1,-1;CATE "CATEGORIA" true true false 250 Text 0 0 ,First,#,APEE_Priorizados_CerMinero_MULK_2023_Octubre,CATE,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0 ,First,#,APEE_Priorizados_CerMinero_MULK_2023_Octubre,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0 ,First,#,APEE_Priorizados_CerMinero_MULK_2023_Octubre,Shape_Area,-1,-1" # CalculateField APEE_Priorizados_CerMinero_MULK_2023_Nov idPoli autoIncrement() PYTHON_9.3 "rec=0 \ndef autoIncrement(): \n global rec \n pStart = 1 \n pInterval = 1 \n if (rec == 0): \n rec = pStart \n else: \n rec += pInterval \n return rec" Union "APEE_Priorizados_CerMinero_MULK_2023_Nov #;Tolima_limite #" "E:\TIC\Proyectos ArcGIS Pro\BaseCORTOLIMA\Default.gdb\APEE_Tolima" "All attributes" # GAPS FeatureClassToFeatureClass APEE_Tolima_Union D:\SIG_2023\NOVIEMBRE\AP_EE_MINERIA\APEE_CMINERO.gdb APEE_Priorizados_CerMinero_MULK_2023_Nov2 # "OBJECTID "OBJECTID" true true false 10 Long 0 10 ,First,#,APEE_Tolima_Union,OBJECTID,-1,-1;FID_APEE_P "FID_APEE_P" true true false 10 Long 0 10 ,First,#,APEE_Tolima_Union,FID_APEE_P,-1,-1;TIPO "TIPO" true true false 50 Text 0 0 ,First,#,APEE_Tolima_Union,TIPO,-1,-1;NOMBRE "NOMBRE" true true false 250 Text 0 0 ,First,#,APEE_Tolima_Union,NOMBRE,-1,-1;CATE "CATE" true true false 250 Text 0 0 ,First,#,APEE_Tolima_Union,CATE,-1,-1;idPoli "idPoli" true true false 19 Double 0 0 ,First,#,APEE_Tolima_Union,idPoli,-1,-1;EST_POMCA "EST_POMCA" true true false 250 Text 0 0 ,First,#,APEE_Tolima_Union,EST_POMCA,-1,-1;ACUE_ADOP "ACUE_ADOP" true true false 250 Text 0 0 ,First,#,APEE_Tolima_Union,ACUE_ADOP,-1,-1;FID_Tolima "FID_Tolima" true true false 10 Long 0 10 ,First,#,APEE_Tolima_Union,FID_Tolima,-1,-1;DeNombre "DeNombre" true true false 40 Text 0 0 ,First,#,APEE_Tolima_Union,DeNombre,-1,-1;Shape_Leng "Shape_Leng" true true false 19 Double 0 0 ,First,#,APEE_Tolima_Union,Shape_Leng,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0 ,First,#,APEE_Tolima_Union,Shape_Area,-1,-1" # CalculateField APEE_Priorizados_CerMinero_MULK_2023_Nov2 TIPO "Áreas sin restricciones ambientales" VB # CalculateField APEE_Priorizados_CerMinero_MULK_2023_Nov2 CATE "Áreas sin restricciones ambientales" VB # CalculateField APEE_Priorizados_CerMinero_MULK_2023_Nov2 NOMBRE "Otras areas sin restricciones ambientales" VB # FeatureClassToFeatureClass D:\SIG_2023\NOVIEMBRE\AP_EE_MINERIA\APEE_CMINERO.gdb\APEE_Priorizados_CerMinero_MULK_2023_Nov2 "Database Connections\GISCTM12.sde\cortosia.GISCTM12.BD_AreaProtegida_EcoEstrategico" APEE_Priorizados_CerMinero_MULK_2023 # "TIPO "TIPO" true true false 50 Text 0 0 ,First,#,D:\SIG_2023\NOVIEMBRE\AP_EE_MINERIA\APEE_CMINERO.gdb\APEE_Priorizados_CerMinero_MULK_2023_Nov2,TIPO,-1,-1;NOMBRE "NOMBRE" true true false 250 Text 0 0 ,First,#,D:\SIG_2023\NOVIEMBRE\AP_EE_MINERIA\APEE_CMINERO.gdb\APEE_Priorizados_CerMinero_MULK_2023_Nov2,NOMBRE,-1,-1;CATE "CATE" true true false 250 Text 0 0 ,First,#,D:\SIG_2023\NOVIEMBRE\AP_EE_MINERIA\APEE_CMINERO.gdb\APEE_Priorizados_CerMinero_MULK_2023_Nov2,CATE,-1,-1;EST_POMCA "EST_POMCA" true true false 250 Text 0 0 ,First,#,D:\SIG_2023\NOVIEMBRE\AP_EE_MINERIA\APEE_CMINERO.gdb\APEE_Priorizados_CerMinero_MULK_2023_Nov2,EST_POMCA,-1,-1;ACUE_ADOP "ACUE_ADOP" true true false 250 Text 0 0 ,First,#,D:\SIG_2023\NOVIEMBRE\AP_EE_MINERIA\APEE_CMINERO.gdb\APEE_Priorizados_CerMinero_MULK_2023_Nov2,ACUE_ADOP,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0 ,First,#,D:\SIG_2023\NOVIEMBRE\AP_EE_MINERIA\APEE_CMINERO.gdb\APEE_Priorizados_CerMinero_MULK_2023_Nov2,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0 ,First,#,D:\SIG_2023\NOVIEMBRE\AP_EE_MINERIA\APEE_CMINERO.gdb\APEE_Priorizados_CerMinero_MULK_2023_Nov2,Shape_Area,-1,-1" # AddSpatialIndex APEE_Priorizados_CerMinero_MULK_2023 0 0 0 Project APEE_Priorizados_CerMinero_MULK_2023 "C:\Users\cgarcia\Desktop\Informacion_consulta\Capa de consulta\CertificadoMinero_new_reprojected\APEE_Priorizados_CerMinero_Project" PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]] MAGNA-SIRGAS_2018_to_WGS_1984_1 PROJCS["MAGNA-SIRGAS_2018_Origen-Nacional",GEOGCS["MAGNA-SIRGAS_2018",DATUM["Marco_Geocentrico_Nacional_de_Referencia_2018",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",5000000.0],PARAMETER["False_Northing",2000000.0],PARAMETER["Central_Meridian",-73.0],PARAMETER["Scale_Factor",0.9992],PARAMETER["Latitude_Of_Origin",4.0],UNIT["Meter",1.0]] PRESERVE_SHAPE # NO_VERTICAL AddSpatialIndex APEE_Priorizados_CerMinero_Project 0 0 0 20231107 16475100 20231107 16475100 Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.0.12790 APPE_CerMinero_2023_3_1 test APPE_CerMinero_2023_3_1 SDE Feature Class dataset EPSG 9.8.12(12.8.0) 0 Simple FALSE 0 TRUE TRUE cortosia.GISCTM12.APEE_Priorizados_CerMinero_MULK_2023 Feature Class 0 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 4 0 0 Feature geometry. Esri Coordinates defining the features. TIPO TIPO String 50 0 0 NOMBRE NOMBRE String 250 0 0 CATE CATE String 250 0 0 EST_POMCA EST_POMCA String 250 0 0 ACUE_ADOP ACUE_ADOP String 250 0 0 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 20231107 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAA JwAAACcBKgmRTwAAIABJREFUeJysvVmTHFeSNeax5Z6VtWIHmmT3sPubRSbJ9KKXedfz94P1Kpk+ G9PDzPTC7uYCAgRQe+6ZscmO+z0RnoECiZ5W0JJVqIzlxl38uh8/7p7+n1d1HYtILLUkUSVxjX/U EkkqZSxSlSJpiu9FJN9JWm5lktUyzUQGSS1lsZb9diPX19cym81kNBrJ3d2dpGkqw+FQFouFbLdb 2e/3kiSJfo8Pfq/rWrIsk7Is9YN/R1EkcRxLFOkTpd8b6vW9Xk/vEUWJDAYD2e12kmWJFEUhcSJ6 Pxx1FelP3AefJMns7zVeDIfd1/6GZ5YiUaXft+fY9TiqqpKfO/rpSDabjV6LNuZ5LvP5XKqy1PdH +/r9vvSS1J4ex9o3dVnpuf3hQK6urvQek8lEr1mtVvq35XIpp6eneh3eGd/jmsvLS7m5udE+wP3H 47FMp1N9Dj44F/fBc9Bn+KBtOA/3fvfunfb38fGRjKYTubr6oO97cXGhY4h7vn37Vr799lt59uyZ Phfvh+ehP9AG/MSzsqyv31VVoX/DeOLvGD7cB23As9Ik098xlpgf+30hvaQncRlLsS9lt9tgRGx+ jHtS1pVst+tmTKbHM32n5Wqn7UjTnkRRLUW5lbIs5PTiXL+/ub7Vdoyn1uZeb6DPTTN7fhzbOJRS S1zHUualJFEqeVHpffE9ztttc1ks7+Xi7Fwm04HsN2vZ7lbST2KZL261/5Msk8ePn8liudb5xzmI PkR/vnnzRn788Uc5OjqSk5MT7X+cg/7gvMIY41z0Mfruw4cP8vr1a50njx8/1rHE9/hZlqXc39/r vzHeaOe7D1f63vhe3zNNm991yea5Xoc5gAPPwfhgjuJZaJeNo60TtA+/o+9wLcYKP9F2jA3mKf6N Z2BOYTzxfLR3vV7r9/gd33GN8305h3AN32kwGOv1IpVej3PwbpMR/iYS1aJ9fXt7rbLE3qpZwJgc tlAP/46pZN/YwNQSx1jgxcFCR0PxPRqDyYqG8QXRYHzPw4RSpN/xHvgbz8H1+AgmFSZ8moZn28TD i1PIoWUUdvj43/FcCp/uYX+P9N3+qwfa4N+Lg447ox2YvHZi1UwctD2JrK8gQPCe+A6TF/2F7ymM MMHYd7gW/YXfKZBwHc7Bc/A3vj8XBP+Ne+FvOAdCEJND+ze0F+fw2XgG2oIDkxfXNe3mxhDGjMJs v9/qdexzTBr8xBzAPXAd5wf+neeljf2+ljS2TQjDgc1HN7Da2obnah9naZgzdVigI/19vcHCsvFF O/gc3LMKI+vnJz7aH5iTeSVZkmmbe71U22X9ZX02rsf6DIzR8v5OinIn5bAveWnjgfOLMKZYzBgD vBPOx0/0LxYfx4rzhWOBA9exjbgO44KDmw6+5xwr3VzD/fhM3o/9jLHDWOGAoOH6gxDhmqMSgftx fLlm2E/4nX2C51Ho4G9oH/saB+6HD5+DczhnvSJwuPbws1ZBBMUBghPvjPvyXqPBUG5vb3UD13bw BnpTt679MyiwYmgsMSZcJHFUSF22C8O/pNeY8JOLojvZ/UI3bcg6gB2KBVTkttB5LgQWOsMkuWjn dPuj7QwsHntW+7f2exN0/t9eE/u8A21ju7mT6LuGvsBHd7fSBpvvlSU24SSOdKBwHTU13AsTgv2J ycINgJoNPngeNFvuqpiceBYmPc4zjcL6DX2K73AOJ/n9/a1qWGwn7u8FGTU+Cjy/ubB/8TccnMwU SvozrnQn72V9HSfOA/y+29kYp5KYBtrLpJZSiqqUSmyTSbNE1rtKdsVeovVaxz3r4T2xkMc6yXd7 CPxI8u1OrQN92zDP4rCR6e9YiGGcdTPcmeZZpX0pY9OC+72BCdnNXqoil15qbYWmtVivJIMwrTId sx76ezpt5jTel2NCrQTXQrviAvZrwy9+LzTY75gbGD8sZhw8r9frNdfj3zgPWhcEFMaKmhLP9YKH gpPCygR1T+/FMVft340v2s85zs2DGyWeiedTi+ecw4fvSuuIgghznH9HH00mU/2d78i5HtU2z/E7 +hP9gI02NWEEE9CGWP9VYQLDvDoUWBQqSRJJpOaUCSzumhQ2eBF2EhYSD05mXENBxx3cCxUKOl1k u3t9STMjYFZax5uZk8rTp0+ba7zg8ffq/s3/W/8WtBD+7eeueejgAFED8n+DAMDf0yiYgqqN7KWK y6ASD5tJg/fEwcFFP2KgqKKzXyF0eA0mKwWE107Zdk5sTjAuHBzb7V53Y7TH/50LAfdFW3gtJyU3 ENOU8ub53OFpDnBumEDq2UQMAti0OvTBWNI0kSgGvABNE+fUEicQMCa4ufnhWRBYuF61m8L6hG2z tqSSeW2krCTCBhs0qxwmyd60SMFmVhVSVLW2AWZJWeay228aTaGqC9Ue0TVpv6em5B4wRJap0Eoj 23hwf4wftWTCH9RKKTg4TpzzOB/9w3c6Pj5uNgUsZIw/7kNTv9fr6TXQxnBOf4j+S/WZ2Bxo3hGe 4ZziuKBf8Ddq295E5fyhUGUfek2K92L7eD7XMr/jXMEz2SbKC/YDDs4VrhluiqNBX/qjkfz47Xey Wi30fMz7j0xC/Kej0z3qVqBJje/bF8CDqG7SdKBK25ptrQCg2ciGc4C86o6XxDHoj3SAOCGAYXHB Dof9A22q+y7ePGzbcCiYKLC8gPscIcXDT0AsSAqVNEmanUjfMWh61EKo/sZhgKnF+H6imcZJwvbR tMRPYhDUYDgenDy83gst9j+ug0C1XRNaANpkfcFF2O+bhlWW9sEkLaB99DDmWEDcUU1A8fk2vlgU Y70HNhpcX4e5g01P29nDdYVs1pg3pjUPhn2ROFMhlkkivSIViRLVbPgM9sNuY+3RRVPVMjk6svHD wlChCWw21g8Xq2FVpoGMYEZX0HQSSSKRoq4kAb6VQlj2VAigr4E1ol3rzVLW243Ob5icu8LwHbTL Cyv2v2KsYX7QyvBzne9BwUCznkIJz4EQw1jFQeihPRBkuhH2Bo1ZSbyY8ADNez6L89MwQNPK/Tls M8/Fh9gzn4/7ErPCd8SsuGYoqHANnsHr0C6avCqQRiO9DwUW5zRuo9ZFFMlqPpcffvhO26em9ahv GhbUq49Nwlbv0jWtgLZ1bllGUse1qdkxzA5bELyOkxYPJuhHKczFxJdEp3TNDFMrM32po+mxDoCZ ERAGtlOoWZWZrevNPC8cP4VfeeEVx4ZhdTUrj4P93BGJLSJeS8EFgUVTQLXF7U7bTNygmRwd7c4L I5oVnOgE9TnoeBaAWQog4l78N3EFqukNflMUzW5+c39z8HxOWL4LhR2eTW2HOysXpF17CA9wjCGs fN/6jaI/gLbcV6EDzQafOEFbY8n6tpdSwCYpzBvrH/tbJrvdttHa+PELIEP7gIuFuQZYjGPF/sSz YEqaeWv9B4dBnNjmbONFUDxRoVBWImkGx0Iqq8VShsf2jsTw0E/UiCmwOIbc4Ci4sBDZJmqv7COO F82kzWaja4JAPH5fbcws85oSN3vbXNr5wHvyfJwHBw4dRmpyB027qw3iIHTh4Q/elxpwgz0FgQTI gqaqV1b4/nxHKjbUxu5ubtRpgT5E26ZHBs7rrDATEAPU7l5+nTYCqzHVauln2Lk4wVuvB81A30AK LK8N+YZ6c4aTmYsMi5MAot3DpL8tanaqE1gfmYGHgLjf2bDI7PuHNLHP07a8OetNQ2BY6AcCorwP zSF68FThcEKBOx41IC84CXx2zU4+k7sdJyzBXy4QmgQEQrummsdRPJ7IjYVt5NiacLYNCcNvixve YUzEAGILsC9MRptjDSgfFkDSS6RXZ9IvgWEVUmPhA8dSp0ouRWVCTD2PEML7XGS9kn1ZSbHbhsWG XbyULOupV9lAdQD/JjixyUG7w7+hFULY+fdTQFxNv73UhW1iMTyQNAUz3CeYQfudSBJLb2hznAdB dgp8anHeU0bz2c8tbmjsE96Hix5gM37H/W5ubvQc4Er0wuel3Qf3xd9xGK5rApC4Etcc7umBdy9Q iSFxrXIN4jwKeQpifExpyD5aM3QsUKOl55gwBs83uWAKC1ZukpjWBvjn9vpS5vO7AwztAHS3pxkI DdXbq1sUWM1DsJtCOUgCJhXUR49bcXFxgDggbLC3m7n7UDsxIdZKYC52nk9qAMwRe658Uih5ELF7 Tq0gnQm0h83HXz74Phxcah3UkiBwiT9QuFifmeCAecFBZ19RG8U1flJRK+Oz6EGkQFGaRDA1+Wy+ a0OnCBoWtSya8t5kpDDxmAKFHJ/NsaKGsNmYNgEhgyOJM90IbfIGYdFvtTwcbI+2LUsk2keyy7ey z03j0vvPjiTNDHIolQqC77CbW1trwXvhHUqJgyAqCmgqteCxIwiVOlZ6jjk4Bm7cKliRkmK+12hX JFVUyyAIZPWuwRNeBe1hv9NNIOllEqeJ4lncVAhkEyjGx9ML2F8PaSXsC2rFNMMIkkPIUPiUDs/D AeuDnniuDQoULnSPO3KOkjpDYJ5/b9eGjQs1auJR3bXrwXqPR1MjBFWGGyW0U/wNfYR2w5Rmu+iw gMb307s36hTBe0/HE7m9u9Y2qCkLzRdcB5g2XXebAu+1wgEqsLI0EyAlSYRGBg4TeTJh4uKDRtJb Rc8VFxM1Lkpw702kwOOhi6UyNZ8LGAKGOxl5PuRR2fPlI/PmUEtqtTxeU8MvFTramy5+YvHjzQ+a IBSyFNCqcjvtxJs2wJxUc1yu9Hy8E9y2nOC4Hx0M1DAprKgVcXCpLhOrwr8hxDC4wF5wEKzEtVCx cR+chzECYH9ze6fXn59PAni70/sfHR03k9T6ucU1TEtpgWSb9OT9lJKl0PBgokLjwoIx4bzdQVve hAVQKPcPnjzlh23X6nUb1kNtJ+y08/NzGY/Mi3R1e6MbKnA2AOvgTUEIHU1P1DIYDYzfh/Ev60ji tCeb9U7Kopaj42Nt93Kx0rarQK/wPpViaDDtcB0oCpjPEER1XhggHgQTgHjvsTM8b994Hv/85z/L P/7jPzaaEDxaXKjoK5hG6M+zszMVFhgvOIy8swpjRK4WtbEvv/xSxwnnnJ+faxvQ5zDnFS/T/jDz zgslaka0XKgwUPvh2iEvkm312gydNHgW1yM3Y1Il8Du+xzWYt5h3uAbvQWFOXJtaJ81FCkSuf92o I1tDsYL1mW5e7JOi2Hc0LLegSU7yS50eRf2PC/iBxe0XP4VYd7FTknd/ds/xEt+TOO17akMfe/U+ DcZ7gczntO33z+w+2ws0Xt9zJi+Fru5EwXQj6IjFywmkGEfgzcyXiwNeDicXPUSkFbQmmO1o7Fea iJxMnPj8DhsJBSYFHHdCepo4CWlmUCjiYNv43twETDsLnkXseNofSeBftRoAMCxCDRAeEGiKVUHY pa0WQdoGF9QIjpUsaKVpJsMIOzg01ZFEksgaFIx6Lb1Bi4/c3i9Ua9jlezk7vVB8D5P97U/v5c2b n+T2/l6G/b48efZMnj17IdPpkWx2a8lhrppRoh5BtDON6fWKsFLVM4gxo0Bg3+SrjazmJsjoIeem zPHghoM+RXs8H8ybVd4jxzH096jCOHC8/fney8e5QtiBWrmnT5Ce4CEKb85xvkDwUkPznkPOEY+9 cYOjQCItg0KJ2BkFFbU7zmEqIjADQdTFOeNAm1Dv7a56SGA9fKiwgrYFNToCU8ZAeUBAXSHkF7hf jN6d6TUWLwhaMzBoQW4RPySMunibF0Q28IffefesndvlnB0KrYc+/tl8Py+wFLsKGIG6YmFC5e15 6jyobfF71Z1mASYCAVsMHjlUHutgH9Mc9DuVXxDELMiv4iTnDkphBm0CE8iA6Nac724WvLe5q6H5 tmNrWJBFKUB46VhGqfKqYMqR5bzfE0g3zALHfh8AW6kV0J5MgNP0ZFeUSq9RLyY0u7Qv+b6U7QYa 01ZWy/e682LhQxO5vb1XgTWZvFZt9tXLL+Tt+3eqxS5WS6mKWuarndzdr2S928rzly9kNBrIeDSQ pIqlqqHtFGr26WZRWd/KvtLoBL6necmMTnF3fdM4JNAOCmCa0HS0EMOhZkPh46ECaq1cxHTEUCBF zhNPocBx4qL3XC/vgSRexogFtJmmv7c4vMVAgeLNUc5V/MS88puld7hQIJM2g7lMTbCZT4lIXuSy 3ZnZiXuqUK+N5gOnyH7fEls7AovAexcU8kKro2Ghs4OGcmBmOa+ZX+SexsAF8JDJ1XgoHC3iY5Os 9WA0guwBzaqrZbX/Nr6Z7a8PC62usO1qgPnWJjEnTWOKBsFLLYuMZxLwNoHciR2I6jl3Oa9Rkcfl 3cUER4kb0GtI7YcmAndiTiBiDrgPtZJB2CX5zgS3vffWa8kcM68JcNNQjcSYm6oFcfMptoZxwRzE e+iCqAqp15Us7xeKU5h3a6C4KO4F7UfNiR0WQapzDtrM7c1S5vOl3N3NZblaGZhdlUpNgOlWSCLb fSXzd1fy5t2VfP/jexUUMIGz4Vhub+6lrGO5vV/KX7/7VvLITOaLk2M5xoLKhhJXuSSKmw1ks1pa hAf6D9AJMK9Ak8DPPISkPHnypBEyxBbRNvzOTQkL0IPQ3TnX3Sw9xsu+7AXHjPf+eWXB0xEU43Oa MeceFz8hCK+9e6FEbyfH3GOOXAueo+WpNcRh+ZOOAy/Q1Kzcm+nNEDYTyAby+wgBWg6twPoZnJnE Ue1UrF8QR522xN+7WlBXaHgAnT8JCvqFyg6xBdGSIP197V7tYukKmocEUFdwdSfKQ1rUQx9/L6/K U8PRgQhaEyazEkQzM8VwYHBgjnksgBPc71S4HvFeHgSlBuS5VqSOeKFJgBSYAoQlFwnOhZCkUAPx EKaX3juDpjFt3iNNUinyrWJFClqHjYkgNnCcNLNoAhPsWEBQ96vAO4N2YKEqy9VSMU+b4CBk2i4L nAnCraojGQ6N+5WkkbYLixtCAxvpPq/k/m4ul5e3cnN9J6tgMoAHNRgO5WhyJFma6HkFwqDg+U4S ubkzMuXZxVM5PplJVSfSH47k6bMXcv7shSyh1UWJbPaVjPJKBllfsVqEn2Gu2+K2xapzDix8qVRY VQFH5aZEjchTQygAuGA5lp6oy3O89uY3JXqbk84m0Sx658jqzk06V6iBccPgc7xG7h0EfIanI/Ge nKc4j1wqauwE6L2jiDG13FiVsR7C68Brg8Ai7gVtGXMWm8PZ+Yly6+y5tj4eMAkDOfQTx6EGFLQe uIEdNYHfU6p78Pshgea1s65g49+0ZU6Q2TWBYxM787IjiD4O23lYYHWxKR5+8nUnoJk8xvb2+IKq 3GEi0PlQpm08JakLGEQAqZxY9PYQuMcHE8BPVB6eu0MPCic2FwR/x2EBpmb+AefBd+YWtyDtbh9z knqsrOuxVRyib+aP9UEpRQ6tCBO2NV1NSywk65lTBUA8NCy95xgbljl2Grig4s4NTK0v+10hu61p VVeXNzKfL9R0BODc62ey3u5ltfogcQhurqNMvy/yQkYjeJnu5PWbt/I8imW13snNfCnToxP53T// i9wtV7IvcqmLXPZ5Lbu8VIIohFKuIVUiaQ99nyi3DrojxBY0LZiIdG7goOOEQgvvp4vPCQNv1tFE 84KBmCc5Ufwbj2EYKw+5eC3Gk1OJRXncixw6Ciu2g4KHQpCbIAnEHBu213tCKVxxcC6ijZ7iREuB bTPP8qYxKVuiLee2bWjgudGkVgEun3lwrbTCCIsZpsPh3yn5OeF9Bz6kdXmT6yEszAsxm8SmBodW 2bOi9h7qFnDXYvc/1Ky8YAqd467xbfM//feH9nxPNQh6VPB3TFJgWNwh1SQAf8hNSHr3gLNwd1IT KAwOtCK4foHLUHWncPJkSVxDAchzfN+T7OczAnDBECvDc2gu+h2ZC8lrADRDPBbpeXH5HrF4xr3C 5kePIOYKxo4LGxoWjvF4qhqfCUQTfjZh7f3gDVyoC/5GP8v1Srlrw/5Y+qOxpIO+XN1cy3K+kF6K d5xq23DP+WIhxyenUmGT2Ofy9v17zcIAesJfvv1eov5Ijs4vbJOuE9lBeCPbB+aY4F0ATGfKgAd2 i782prvGHG5kvVgeUFYwbuQtUaPBGBPsZjgTFioD4/185WL2vEUKrCqY8ng/ajIYBm4oOLzmxnGn KefnCecKzcuHTFFvBnZxMa5zrmEPyvvQMGZZoRlKoYbrNVMFIhsGaA8YA7Zm1AO6WqjXcbMi3GHe xVZgAcvRd67M6YNJCZC9K7jUqQZpFYkk8AW3C/whs80Dif7gOd6MbAHxVpD58712ZcIDiyeEE3Xb +aCG1WqPdg8C/lGTlqb7zK5AJcdIzZjwHSbfarmUIQBuDEjYORj8qucFzloTVxWyNxgT3YQF0qng OpAUyxIkQMO48JOsbBN0mAiIQwTjHwCqaVLoC+tHCizrMwt5AVZjGBrUbiXkIsQGZmDwXEHw+n7G 4QHS7hiodVhAEzEBVVaxBi/rR6kysSxWlq1hlPWUPgCtZQdCZh1MnD4EGISdCTVoMiqQNc7PQlRg Ar7/cCXXN3eyyws16TL9DOTm7l75V2cXjyQLGMpms1VLojcYy9PnL+Xpy1dyeXktP/30k87n6exE qjiTH9+8k9EKAP1IJv1MBik0J2RwAF4FszKXYUPCRFB2IOAiVVBZNJ4sjDG1IdJKKKCoLWsgfzDr KDhwnWeh8yc9plw/PkA5DkKkwXQCwO+dMRSWzJRBIee1OJqw3sPnw4h4DulD1KIpSD2Q7zU+r03y Wrw7LQWcSzgEVBGkOPLPgfA/OZlJXeaa4sgcAiEDShJLCgIweHN4RJzA74dJD60DjSBepbSYIK0S yZGrKIc0yy0LQXiJ1ianxDcuDpjICPLF9/iOgDmECf5tL0/vkmEk1JTgbTKtytjK7HTT3HA/k5jG brD7eGGFezYLkAIKsxkCWk1aC3o17dAYsioMg9aG35WjUpjHA+2DmaGCYLNV4ZQBT4oTBdIxmUf9 gdSFpYs5Gk/09yy435tJMzTz7f37n8xTsi/l+ubSyJaVyE8/vZHjE6RuKaUoQTmIdQFhJxoMR7Ja bpTXVKCP0ki2y62yxS+OH0t/1JfVdqUkTJh8wISGk6HKayxaQdYBKWXYA4Uh09xTyhIfDvT3FMTI OG5yL6lWEbRCTFrDlkwYl3khcd2TqizUJAP14H59L4vNXsajoexlIGk2kuU2l/kCnki4pjE2e+n1 MUnXcnIyVkxsu4HAtBRC8Pbti1JubuZyP1/L/XIlC/R/L5XhoCdVP5VtVcjx+ZlynKBBZQEruV8Z d+38yVN59upX+n3cW0rSH0gJUHx2LBePnwis1n1Ryc3Nnci4J+fPHsls0peqWEuuQr6WKgQ9f/vn H5RK8eLZExOKi7ls1kt1MniLAgsRZj68kuQ3KQdsuTwA0akVIQsEtTY4D27n97b4g1anWmddaT6w Gho4TMA9Rq+W7WYttZK8sQxt00qqMF4ZyLgGl8Bs1wW/rnWc8Dd8B8WjXpVKzIWn1Mx3C8bu9QdK mo0iA/kZ4oV13NWmEGKl2Ojy3qCGkQnD+/lts9EdzSYNYbUoAzE5G6v2iY0aYVE25zCvTbifXpw1 GnpR5nI7R3aPRrEwQcUPbHiLc9PfVOvSb6BURZWS8/BBehA19J1W4neLrmftIeDba0XQXPzR1dBg 4tlPamAQNOUnAXYKQez2XhPT8ypqajiXrPeg8TlAVF3vNYFXU5GhUaAJyrhPUlnB1NntpZA2WJQ8 Fd6jm60AmpRmnsi3OqlaZrtpXj/88IOp11GlwolOiHpT6jXqStfwEcvnZOYm22xxhCbYTSuz/jTa BMZbkwZOZ413ixiI7rhhE2pMiEDypVmCfFMQ2Ao0xxbXFkEzRLqYcS77MtZ/P3v5Ss99/9M7ublb yHgAb1IpWQywPNNIfON+UaCDwFlLDppDwKBe//hOrq9upJBIpoMRYmV0Qaf9gfK1ELoDzQ3m4z4v ZTQ5UoLmk2fP5eTsXP7y3ffy+sc3KhAgTC4eP5NHT55IkvXk7bsPMh5O5XhkHs4q30s2SCTtZ7Lb Gz602xQaEmQezET7RselrNSs89428tz4N2/me00EBxPZ+bnuowi8p430DxzeO8hwrK4Thox5aM84 GBlBLc+nG/JEbhI6cTxsptocJvUIc5PvRCI4742/MVEBA+3J/cNzMEYIg2LfeQ8ln2npc271fuo1 DLDPg4d2cAiCtj4+xIbAx+J5Dwkij3V08Sn+7F7nv2NHP3SdLR7rpMPO7eJhoQ0NNeMQq/qcgwKL oKSlM0E+sEr5OwpeO86MN/3oQSJuhO8JckJgacT83sIVGC3ACQfGNzwqnPQ+bxbDYoqQyYICklgU cQNmmOTuj3YwdAdMbfxO84WaqE4clxoG94CGxcmm/aDaM/J3VdKDOQRMZ7+WvWqIOymrvRRbJKXb yPnpmQxHmQzHfUkTaBt3UuQLSXrnal7HSV8kMiEJsN5MdDwhkb/+9Xv56f0HyfoD+dWrX8nR8Uwu by0/UrpH1tQzSUo4E4BNFZL1h/L4/EKeP38uJ6dncnl1LfPVSmYnZ/KrX/1KFwmEz9t3741i0B/K OGT9UDMlrWWi2SUCIbNEkkADhsfTsY3pvnWgIAWKbvWhvzwexLkL7YqblOfc8RrvoKJJxnnqOVI4 eJ434/y1hBlIzGTcIQ7OX5qMOAcaDrOecv7w3u06ax08GG9YPI0iERs2xrnNazjP8HxitAzNoWCF MLq5uQo4WZtbbdAfSpVhk7Z1cXcHrBwbZd8wrIaL1CSzo4Cy4+eEmj+62hUOL7D84UF4nm/XfMw2 7/7u78/v2usPA6w1jZtjxXsg39/3IfIpDgodNSPDxLQwmNyyWlZGM4DwIHmQA8fdwuMUHhQH8ZKT C22l+5e7HcB77lhMW+InpAdnfS4iTjDiH8wOSRqFYkqaII4J2AwD4ULi4QPYyfKm15R9ODseS5Il cgdO9Wt8AAAgAElEQVQTabuSOoHJBjwHEz+Rq8u5zJep7IutnJ4dy9G0J+/ebOXq6lZKzVg6VWLg 7c2V3gPmDjSfXjaSKEllo+z8gQoRaFsIagY3K+uPVPggPTHMR+zeEKxPnr6Qp8+fyWx2oibqYFTL k6fPdUFA+KMPEOZTbJHTKlU8jOMKgJ2LFpos5yYFPYX/frc6wHA2W1usOAise6Hjg4e5MTQ0iNT6 vJvgj/3vNafEedw5L3wsqGeMU1hhXjJQ2c9/3Ic8Jw+we1oNHUZ+HrNNDcZZWXZajbF0aXUar16a 6nfv379vcruRNGseQtvALf2QAey2/4HyslXLiHJE6RgfL9JDk0rTryh9wDCsh8DzTwmtnzseOq8r sPi3Q+DbUx5a6e/v23UAfEqzOtQMP34ujiakIXxNu507kgoMl+OK2gqzTPA9iVvQQ2gakQk7b/aS zsAQGcYIckJwUVCImUCm59RwOPxbd6MUOcOgkgOfQGAtwoMsqBSxgtMpQdtWiLbkVaZcyRXLAk7p nw/9B2aogtE5ODbIBbVUzx0wNACEu73IV19/IZc/XWtO7pPjifQGUxlMxzLaHclwPJGsN5T7e9AO 3snbdz9pfvdefyhpAv4VUtCM9N/DyVTKCrQDaDDGqEd+9+1uL4ulxQg+fvZSXnzxhcUUal8Apknl +OxcGff6PpudmsFHT2ea913NrTUSxNWWe/14LHG5ld3WQpU0K4SLu/N8QwotbjA4PDkS3zFHFeca N4yGoR63m42PaKAnj2uEGnsStDhuWtyMuqRjnE+w39NlvBA04VsofgjBiZ/4N7hxqpVr9gSbw+T/ sQ0NZzA4cPAMCEeaoJyjBNgZaeE3dvwd/0Y7geFyzUAZsKSdc0vYORhpTQA4dz4yCb2GZVhOUFp+ RsPqmoReA/oUVaCriXUFVlfQEA/T1B8NJ8l2JEsT0xavONSeeP/DEKCPMbVum1uNSgVKx1WMODrF bRB4kpsXxcfdcXJ0+TLcKWzCtfmT6KqmGcZJB5Ccrmeal8TGPJnwIU8ePmQrkx/D9+FEN/pBi4s0 fR9+Z9oaZORg2l72kT+fRS7gXKh0YYJpDQAfeFah+axW6638xx/+KLfXP6lpOJ4eyWJ+I9fX93J1 O5f1JocfzkJkSoRr5BJt9jIcTQSkgl2BpHyZfrbrjVzd3qsX8Gw4kYvzxxooPD6ahoyaIsNeX67e X+uGO5lY+ybTYw0Jwh83CvYakbaIS9mfIEjccqhTgO+2bfYKBgirBhJmDTUQjDUXpmnPlrUB53M8 fa4pEkK3uWGefg1wDFV7CyZUdyONHVmZwoxtofaDf8PhgIMwBMedH3i3qa1rgHrwcPJZFJ4UVNQC qbUBS/VauwqfUIgFGx3OAU0Bm4HnCjZCOO1b+FYFsjWLyODdLesIg6hxDdLNOJPwYaHUstztfx4r 0hdzoXldAeQX+M8JrUPB9rG29CnMix2K8XmIH0TB81C7eC7yBXhTkjngiddxgYM1zYGy9Mwh7KZn OyUFE8F1mng0B7gjHYKqRtAjWMlUNJxA2H2gSuN6Bi5jwJluRO8XMifQNPS7LbU57HL4+MmHA/9e rox+Qe4V7wMTkAtO7+fMdhW6e5uUoykWC/oAO/ZQPU+bLTQFTMpMrq/uNU4wTvtyffVevv/hG4hB uTifyQ9vL2W3qmS/KVQb6/WnMgJYDSELXkSKdCI9KaNIY/92twvJen05Oj6Vp09fymg8ldHRTLJB XyZHUxkgJAbgRpKq5xta8dn5hdwv5qqJRVqPoK/aITRAaGxNwHVVGHerH8swteSUXhirFxUaydpM K843xdJCxgTch1lCORdwYLH6ucsNSD2I9SFLnSapn8/4yQ2xdvw4jjV5Wpg/ZI3TlCVYTY3dQwfE sSxYHRviYdohbTMSdSLZa4L+LNQkp+aED/vIUydIniYplNmHKXzZ5+pkKTDvLbU010ocDWQyHjkM LERedImjD5mE6pWDWRgElrpj9T/40w4F1kOHV58/JbT80RViXaHlz/PCE0eXIX947qEHsathdXF4 f38dDJSCCmC4efIsGLYY9JTSQAFAjg0nErEDjzVR6MBjp1yTLD7AqTyBk0Ur2Bf0PjE2babVYz6O LOAuSbY9Gc6ctKaSG0eGu/mBl8bhISrMwn2o1eE6pFG5+cO1moCq5SnrJZW1YmKZjCcn8uLlP8j3 37+R97dv5PvX72S+zOUfvv5SLs6O5Lu/fiu7tRFMIdxScLXSPsKfUY5Cw3WW67UMx1M5PT+VtNdX gTSYTOX5s5fy5MVLJYUi941SBzZ7zTKKjA7UKgf9saQb4zSBpGrC38yV7XYnpydnUk9HWr4uTW0R D5vMBiYUjPtmObnyjZl3XPia5QLhPC7sCge/o+ODmx+Z5Jgn5L+xn6kRc8NhfB2F4d4RMLmeOB+Y 0x0fpmNh6AxLdOE6tkE3PCQ5DBu159txjpBHRg3QO3M03ArcwxAfS2CduCoOH2bk4RBaIjq3UvOM G3UC2qw5dawoSFs0A5u79g0XK7yBWq1E3frBJNKOCbSGEAaDWm5cCLob1LqnNcKpK2g8a9YLAgoO mneN/d0xa3hPdpoHM9VDpaDjIdWhxd8sm6i56Q9LiTUmVWrPAB/MFmzglMXRgfAocsMWoPUYkJkr CzdL28R09HzwXX0gLD0k+DdzYsFDoryhuX3HnReTAOchmRkmB+7JQYeazch3TBjbqWByoH/wbqku TO7KwLGg+SyXIDkaLqOxefByhl3W429MKxK6VCc7szqwAgyeCxYyhO37D5cKXo9GQ+mNBsqdQrze 2cUzOZ5dyHZTyrt3N/L69aUkyVj++3//P+T9hx/l6bNH8tvf/c/y5oc38s0fv5F8b1yfxXpj5bKU 4b62jAmR5Ssvo7V6+y7On8rZ2SOJIsOYwNPRBdLr67RFeI2Of8j2UIX3LecWZIvFhn44mU2twlC+ lqzaBW0RG0pfysIWUFVaLYHZzPKDoV8RSJ1vTUBQO+bco7lDE82nQOai5jpAnOijp08afIiCzDR4 W7QsUsEyV4VWO7qXR48e6RyhAEBbcC0hAw9uE7fyG7TXhE5OzpTnRzIqzWSlOYT6gOBJMY+XCRxo 6ybECVF4zZHPgzlIThrnEr7HGHsiKQ7kBwOUgPPRPqQHIvYGgaWbw6Fe4bUc+ZuPT2FTf+tBgWST oBsw/encVeFfH/3bJsxDuJXXypgNM3g1UUzWhxsFtZRpU4j9UBXmzkJ6AzEBj1/5nYgYACYGCHZU lzkJ/bOJazGcxwOoRqxtcxv5vsHvmNycaPRQsU0Nt8XhUuwTeEBx0JuEXsH5LLQAj9vJyan8b4OJ klNhLgCPAVC6WO9Vuxr0J7LalPLq1VfSHx7L6zc/yGIN79xERtNznfTX9yu5W26kl4IiMJE0N9Ot NxrJM9Ap0p5iWbAQjyYzObt4bCW+0CIV0o1NYFVwwh9o0vX7idzchJJmoY4fTXUs8pPZkayLzQG2 BxM3Br+o7sv83sBigsic382YgMS7tntZfb3WwULTB0KLWhDzjrGaFAQ/TTAufr9hM2AYbTg5OTng WXmvIJ7NjQcH28p8ah4yoNBDBMGjR1aslVocLQT8GwIG64DaPwF0ap1eq6T25J0QZPJ7RYbew+b6 OlJunJ2Hze1dQ9DGnILXGPQfrtOPquYcZD74TKH1OYD75x68hruZF1YPCSwfwuOxJx6N1hUEn9f2 qJYegvOH1zWYTk18yMI/YBLukYAPKvjA1OJum6ldUkVmICgnBeMCSajDhKSGRuIfhQpBU3u2AfCW ObONF+uGedArxXf0JikFKrEKpkBpYthCDCYnOd6IpoBqjqOxHB3NRKJMGeN6jyJX7142AL8JGSL6 sr66lfHsTF4Oj6WoYtlXsdwtdnK32mlq4ijpyWh8JIM+wk8KuVuvZb2FuTSUV89fqUBGYj5sXKAs PH76UvoDkEUzNUHVJlAkw2JKNSJD3e32y2ZjO/MO2FNRahSCYoC5LVpUGFYPbLGRcmb96+kinspB oaa1Q4LXEAILgpO4IgUiDo49NR56ymjm6f0OQp1aU4+YJ+eCFyLDUFEdC5v50tD/1PaguVETx5zi /bqA/Hpl9JIvv7QMtMR3bB4YBjcat2XWTJOE1g6hg35BgH2bacS/g5Wws2u5fn34DucpIkWsf2D6 makIQYUsDpeX7/U89qc+u7tWPxZan69q/T2aVRdLaoVei4H5tlF4eVPTX8+jwXIO0tK0ixrJw6yj 68OO/SggusXGuLOpBlUVEg0tBIN4EQ4PmnLACXxSUOLgzkp1HoOMezBPlteWGBfW5HmPUtl2nuf7 goAxMTAcdE3j38Q/PFmRfYbdjotACX2uUrEuNNAWoN6rOWxxXlUcTPS1lXTa7oFHmBnQH0zk119/ Lbt8I9/9+Four+/lycW5/PP/9L+qsHn/4SdZL1aSDoZyNEB4zF7DVI5np9IbmDdpAAGhYSN9KRGc nFdquitXR1+9jbogHovCv8hVdXY8a7QDvK+SYZM2h/qwyTAKDcTAaFTO8VQPNb81B5sJE5yrhWyV QtIGuqPUPM5HH+DZ1KLoSCGfCweSCPo55dcCDpzPWLxFMNNwLekS1NSIUxLrQrtw3Y8//th4pn09 Qgg6lNBbrbbaxyQXsy0aIddJ3IjtoRutgXhWCC3SJ9AeCG1mC+H8ofVBC4SbNoT4dodU4KDCVBrm g/hCKALwkKP/GL2h4UHsmK6J9blyShd18MSxsz0m9VnXezC8kxG0q0l58J4ewEOt62OTsetZ9Au7 FSz8PpQFrzqYVyio4DlQ6MBnTx/LJORxgrnksy7SRGPyPYKQbBu9NTQF+D0nJ3dUZi2leUZAmfia ahcoooBQI6gbyPoZQpzUy4aCo9tQ/Sav9HfVHOI2kZzXChVc17Jb5snRCezq5ukOrB6lUKxUNaVa BloMYiqx5uJGKbiBbLbQqLbIdCgzZE7YVjIYwZQayGg21di+33z9D/L0+RP55k9/lOvL95rupd+D dnAsyyU8g5YNQXPfl5GcnT+WwXjSwAWKrzaDHTY2K96mmhQoDel4IssltNo18sLIoJ9JLzvS0CAs 3tkgUSKqMv93pToZgNHcF8bubx0Qhhl5CoEfU/wOQQUhhcWIaAXG4QGjefbsWUNPUe02xAL6ue41 ZO9IWa/XTZkvauoE4ellxvdffPGFmlmYj4YLmVcP3+Nc4rAIfJ/PVyqwzPy0d9XakKwkHmgLFIi6 +Ukl44m1A5gpCoBAwGB8WFmc7fVwCU1rzvH2QBgg1gcyMkArg9a7CPn/1xrCZbGJd6ZhRZ/Qrj5Z VNU/CjtzwHu8APLS+eeOjwXLIcZEUuND3r+HmnaId0GjCMKryczQyc/e7CQUjAagMsFck7EzMnVb y0UF8w5aBncSDA6LSWDQ6O0heZSTmlwstqOpu+fSEdM0w/UYfGZ8oMbkc2fphECCPeed6ZroJCOS R+XZ1n6hEcfwfUTPJUJzfMS+FifVrBIhF5g5+/Q+0ymA8r7U0UD+9M2Pmkxvs8hlsVnLYr1QjWl6 PNUSXtvVUl48fiovXjzVUAxM0N3GtEsVhiyFVUdKT4AnsIpTedKD0OsbfhZKuVGr0sUe3h/31OD2 kMmS55nARQB2Jv10KrORCW8//wmme1NHGepI0Ry0T4wPYg5ZnBQhQbgWIDmEBGvz4T4QVgCSiRmq J640LyxNRB/mwnGhwIuCZuNDW3xkAj2PAOTRDl7HQsQUVNDwlNKyWOvcYoQF5jhqidjm3ZJcAbg3 HsrYtGy893RypCl/gOc2mWQdjsv4VGqOnKM+1AebAmkXUBZgyjbVyHupZvaoKvPuNqD7f1W74vle +/EC63M1rEOaQWvP20seZis9BM35bC8YD7la5D1pplSHjbF9LFvYCKqQWE7LO4WcPbqjpWbKMdGc UhMGiCHcKeaCjmZ2UV/IkiYidxriWty1VbuK2ySA/lx6XDRAOkwI73XFe/R7toC8Sec9QdwZ8TdM MkxWaG/EwHxuLW8aek+XfucKX+hzEJYktcxmYylqMJ4L2Rc2sdf7UhYrlDCrZbWNJO1PVPNbrO7k /eUHGU1Gmv5juVnLo9NTefPuJ7n68E7m9zfy1VdfSRSX8qff/0H+8Kc/ytMnzwwfSaw2YF6UujEA Szw6iaTOwBGLlSdm7cSYQsO0d5iEikF1WcigZ1iShpYCYI5qFaBJXcgmgqctkrTIJAOlQoVHGzOo rxwA4/2u5duttjsNuCZHjk4MXAcPGQQE8CHPSqe2puzwYysSzL9TUOLgJsYCqpPJpOEzMc8WiZi4 B773ueI5B/DOaAc1ZMIEaOMaWGKCzdXmNDJ7cA3o/OzbHOEmN54chUrUmWrh0CQRPYFzGQjuk/UR e6Mlw/nGw7RDaHCmJWK9QZMCg56QBbQuHIimSOm+1kHVfCsWV+hFDc/Rha1FUhIpUIUXkyRU0rG6 bvZT09OETAi+cYGC+pHA0meE9LqeS8XFeyjQDqUpme7tQj3U2JqOCgJI2wkBB41LKslS5jvidZpz psnuAG9ZhmrESaRM611Y/BBghidkmq0SiwlAMXYs5FcyntJtgzH491IcRekWtcxAjEtEdpu9lHXY 5aDN5NiNEEsVSKmVaUoQTno/nIdYONWStpLv25Q4zMAKoaumwGap7420H2gPvJIM0cm0kATaxGIG IURHC6Eav6kbtI3EDxY+sZLl4laSLLa4PUz4Xl/2q40Uy0JWm60MxqcyGM1kWCdK7ESVIC3LBhM5 iuWvf/lObq6v1YuHeTM9mlmF5jiT2eljTVOzLSIZjyy1sWxzWdzfSJnvteLNo2cvbcwCnKCQAvA3 Fz+KBail7CIs5JCwTjeHWrYom4Wkbvta+rKVfnwkR2No1Inku1LN0ypHfq9K8l0u+545HrBQsWCr yHK/E7fhJkEBBeFKhjk9h/Socf4Sq/Q8N9IAsIChreEYBs4TQ1iIb1Ebh2BkMkYKJHqelc8ErhM8 0yHVDTYBVFTGvNUNdmceSWsfeHRDfZY9z/h6aJfxCxHMfBXY7MZghxmK53BDhEDl+5DM6mkdltjR hCfNVQgqapLAx8Bun82MpoP5liJhmQqiUJcQPCuWqEdRyaQ0m5bhOiU0oLgnW+xmRSGTOpFql+sk RDpbBJCCpWyl7C3vugoO4Bwq3VjUwGKYksgCZS3VixFVLTIkhDAgjUnACyxPT0vShOeuh+dRfVdO jsOQEmSGtFg/eKRMNgazAbumZhy1INi4CHUEpdadGBlCV+uVRLjnHuCgmUbwKmES3q2vdUDevrnR HWc0Henkmq/mKhxRFVurBVem8sNmUiIiChfs9jK/u9OJAwwH10YVFuVEkiiVs5Nz+e4vr3W3Oz9/ JNvNXlOpDEYTubmfWyqZ0VgxB2VuI99VNjAAPI3U1IKAggBcrObSH/YUYMXP3iCT6WwiRXkvt/c3 8uj8ibmZtZYgAk7Xslgie6dhLLqVILe7plnZqqAYgSybZJIOe1JHMBUA9vZEsqHMV3t5d7WQ1baW /vhMyrgvt4uN4mV//f473SVPTo/lu//8swyGPcXYxpOJPHr8VE7Oz7SPsUBHZzu5ubqWJ0+eaYgN IgrwEyE7V8C5dveSr0Ref3MvpxePNK/7CkHIUqupgtxeAOVHE6RPieT+9k7HGgUvEJIDbOvRxZkk 9bGs13eSRYX2193qXiQayhgahM5X21igycLDCO+pOh2QIRPzPK9lfDSW5WYpJ4MTFTJYxLNTw3Gw DtqK0rHkKHCh5dCshuPJGDUsjfGNzQgbE3AyjB9ynr1/d6l59rFBJnGmsX7XV7f6PTatPmICJ301 7+5QxmxgJFH1XCJUKmCQCNCGg0YTLSrvEmuokNPZseVN0zRBbaFcrL01qtbAbC1yrUSkeOpkqirB 9c2NfPhwKevlTl48f9VUaFasVOBNN0UBQtU0U0skibkCOQHS9OXllew2tskj/bQqOFUtTy4eyZs3 ryWqenI8PZL91hj8i/vbDq0BHpBGUzEtJKQfbXEuCItQ3h0/rdouJq5pJ2YytJoOTTCll0J4BWAb LHHIyrgHodKWlu6akd4NSnDRs+eJuXS1sIcwNGpgxnrH1LZD1eeQWBC6j2JICmbXMuwbFkUeEgZZ M1Imkdze3ch6s1IcpFf2dMfFc/Un7lPlmqyMXC3lMSF9cgBtMdkyBjqnVrOOA0wQ3qdeBshtjgJG xKcmnLTrmceLOEEoepmH+MSB7XBIBohDk7uF8l+gDmj2ieAWx8LAQdxCKyRryhloJi1RsiqRNXKh Wpru6rtcFuud7PJItgWSEq41mwNwEYTRvHr1CjNEg77fvnkty+Vcnj8/lUQ11aEUuYUKbfNSzi+e KI2hQr51eOV2W1nsFlLs17Kc36rgHPQSefTkmczvruTuptIc70h+iA0FqWUAOLO2o5lBFsi9XC10 YfR7sVR7o1dcnIGQOhGpd1Js13K3WkixySUvgxmO9MgujQumuI41tOLgsaEjhB5fzl2G0NDkJo8p jpGrPpe61xKdvWMGH43PDFSUmmmFg3mPv20CmI7nMgU2oQiOJw5kgVWiaG7cQGghCfCpYqfrD7Q7 g2O4Wmzt4Htv7tJspVnKCs44h6E1Hhf1SR8JgRj2ZtYUwHriaMx0wdha5Q9uVyG0yeghv5jT/WOz jsB6yEKAOLK6LQcPMWCiwGj/muClwUhMi1NWtqt18Sk6hH9xCi0C0pwEBPg8h4XXeoHlBVnzffgd wCf4O8q3CfY/gn1tYhkeQdcwS8vjXghNIejuhacC07ozQ6Nqi4QqDSChCda612nbM5yDbSf9QH86 +5+Tmu/z0KKgsCEQ62MU6R1F3nnL2Gr8Gr5XL2sBYJvwyNIKXK9SkFtyZK8oVIigcrLEPcXx3l/O 5f3tWnZVJlE2kSTNdIFBkMCTqEREbBTIahq8njAFseml6VLBc+3LxMDsk9mxYowA5u/vbmS3WUlV tBEUxX4nt3f3stntTVPrgV6SadVmpYas1qpZjoY96YOoCPO3KjX7KrRcEFSLYqEZW0lmhIaJhRJX pZqFxEib+aMUtbb0meKIQTjRm8ZoBW48Pr6TC57rigRQ9r0XWKQgMLxmHdqGe0K75/2YyYMVmGkO eiy5rNosoUpXcevHz50uLoxcbczsoAIyUBd4HbMvcP4TZ23XoxWUoNk6nYJHZql1SFVgW33sKg71 xO+2KrCQWgib2mcXofAL3xY8iXSRmlTY2tSj3gHBKWwsBbJhXqZvJWpyauc4wfUQXuW1qgOB84mK 0t4L4e/rhaNOOBcYTbAflVa0gKNYqhcAgpbGpT7YWZCOw+MKnn6hgGMIqh4MB02hUhzH02NdGAwM pdeOO/MqsHx1UrkyTxCqxJEouPnu3LEZEsFJQzIfQV0fh0aNbzy0dM/t7or7kUAIHo0tWnoDc8U6 7T3zspJ+OmpY58Cv4nQv1a7Witij6VTu7peS9W0yY3ffLlEJ2ABVYBMI7kYlkyJHSt++ap0QOgn6 erXUNMRwcS/nd6pVRVUu++1GzYQV+mc4ldOTc60ODUY8TMdnj5+qRgFzClrddhu0zlJkODA86WZ3 raFFmeSSxaXMx6lMxonk2FiwSCWWPtIMx5EUbh6WdYtR2UZmjHfd+MLfPchMnhs3PI6N9SkxXzv8 RsRNjUIMWmgVHDGkujDESAVKEGwePqEgoubHzU/nQJhb8JRSs8Nj2zYaT5CeQh/cTWY+4J9u0PND ApkQDS03hkeRRMuQHttkLQKEnDJo++SNKTXoc4SUuf9D0QEH0iP/N7QpJQLjS11EIfYvpB3GQrCV bPARIXYD2K0ySZOW2AmXbswfVVsfCkNPiBdEB23uvkPnd7/g1a8UGN+qTsNt3gPoZ6AjFi4Zz+jM 4WTcZAPlztXEHcJrE8w2vosPBPXsaQqepjBA4K5Q+LCt5H+RmU5tCwMKxwE4NawvqGWyYgD4pUwn MxkNQZI0TyT6HEHG+F4XQLnX3O74HuYjwH6Nzocdp32DyQgzN9KxRvoX2HiacjmJZZOXqp2ORsfy 8uSJDI6W8u2b91Igtzi8U7OZguUYXi2moKZDHgJyB3J/e91oWzC8gPNBSC0Xltt8izxbq6Wslgst Hz9AvnmplBk/GQ3k+dMXMpzMtP7gzc0HGU8refLspfTjWC6je1nv9pJVLd8ONBls/Mg6ilzuPdnJ qBfL7hwVbCpLVb3ra7pr9c71hiK1CWsVSLWFr5D4a7nIKFggZOjlswrSoNXwmfipfYn4xsqEAetA UkunwOJPbobr1aop+07KDNqD4q8qUAJsYJur9TW1eJpkGhtIL2YjJXEO1zbrahqpE/9mPnjyDMkp RKFb5cFpHQWX1hwOlVBD0KI5zMNJhwcJo8wbhg2K0RMGfVhcJIrlKsUPfQLHRmZcvP+ySag/BUnx oRrCJoZ2ZbAXFr8m8A8hG/bx5ll4QQO+fvH5XdzK/73rVfy5+/Cnt7NB3NN0I1Vbdp5Ckx1rO1tb opuTC1IfADGFaZebRrcug5V9xD3xCWZhpNlmGTaNSEqh7FN1eNXbxxxyUrHt9MxwkuJgu/keuJ4x aHXPyKhMB5INMkkjq9bSbCJquqXSC1oluGpqpmxzKaO9DBJoXagHiCpBhkVECfRYE/LwnvazE4nu bJdF6AVcPONhSD8CnOp+KcU+FDzoZdKPUbYcGNZa8SyBkwRVpl2O8qubO1kuV7pokbAQDoIstnJR KL6K804BgqeZ5GvbIJCRFBjX+u496k+oMETKnDRCv6bSiyPZb23sgK3R/EIaGgorS7vTRjewvynQ GDNKbIZjxd99uiEPf/gxxYca+nw+P0ivzE1QcaJAHKWg4TOZo4uB9ySsajELaOB6D3KkYKa1Zefx PTyFnN/A/+jdtIrWcCCYBUBBCqiAFgO8etT0AbjjesIUeEeNNXQ8QZ/xFO21JAAtUVb7XD7z6LrW JosAACAASURBVMoEXfRwCyvBy4obWKUsU5NZvl5r5Sr+4dImQ6jBi4CMCFq15uN7cxA5AD7NhY9J 0tQ3IcmgZZywjwHQQfMKwpX5vPQZrkS9Cr+gkuJ8JbEVZeCY2OKBqqo5zUP6Cy5iChZqURRKWDA6 uNVh5gnPaaGazVgz9eaEIGjiVz7VCLlR/LdPW+LjAL3m2PSTi20j7qekRgC2EPyFefvMzAdIHZ6r FYZSybQ6Ty0x6vQhKwKeU8ZSpT0p9pVc3y9ld72Smzm8jDuZHCN9TiY17lkbHobJp9gZwq3C2KpJ gzTB4FmliYyGfU2xbIUvYvnwDibjTj8oELHJQQExLTTNBrLaJxL1gIuM5MWLFzKbnWnoDjbL0XAs 83tLg6L8uEFP9iB4ZrbINZPC6kbGY2S1ROWfXPI6D+1JlVza5bbZ74n1g5pRLa+KWI/XtDkfFB4I HD2OB4WOxya9Vo2DYDUJvLPZTM9hgDA3X5qCeAYEGxQJvJ9PGUSBymfrWENYIcgYAqoK+bFAAQKu GYQPqRPox5cvXzZ9t91eW5RLXFtanyEqeht9g9kVjMpgQf4kg2peGLx7ZiXThkNLMcMUOWwnNvGz swuZTBBEbZzAvxnD8ofGcyEti0bHZwa3wwRsKARtWhgyxDVsRLOGBns95Knqfnj4xd01o0y1bXGo 7rUeaO9+x+/VPeCi3geZYQLbfKWdB8AQOwEoBNghhuPRAaeG6UOIIzE+Cp2ipk7Io6V/Qyxe37yC FLq+eARBVQgieoVQ65A7KbUij5XsXW05alAe2+Oi8WRVtpe7LfELjpfhYWEhQeig1Btq8RWl1has AFajsk1RgxYlZdyTIiplBaY6soSCTiKxLNcIgjYzldoh0ofgvmfHJ3J2eiTf/P4/Zbc1M4aCP0si WS3uZbteqRcM4HqJwOqQ8qfM4bVt8cnZdCrHp+B7jbREmZ6DDams5Fe/ehlqO4qm162xGcBRgKlY VnJ1/UEmgwsZD4cymwCzjCWqStmF8T47NhMce5vOQ9SJClqOmbLZATzBxeY3D6898VqfvaOrUXmC LtrAeT+ZTJTrxKwZPsaRGhXGFF5SaKtso26wSUgH5cHxutCNosoBDZiw6q4RzEmLYbTYUXoEfSVx aop8N1VeAg8TggtriJsTnAWMldX5HRwKDO1RD+/JSYNbEQNkJonPxrDaeoItox0aSq+HlLjmFYN3 B/a+pZCNrGKueltAZoQmBC8cBVqrGXQFijdt2onRZvX04DpwNA+qd9vdFWDdgx1JbKib8ld5WqFS DjUb3WGOZ+ol9BkS0B5qSwVIhrqztrusqs2ZRbH7JG4+yp44RLNrh0IVPkUvzoe5g+chWZ1pbng2 JoxhGdgQcB4mALwrRrwDRcKq8+D+aD/793/8P/+3VZqZTYM3zng7ED6gCtTQsnoDSfvIlx4pR22x gMZpxVJhV0xRwWZwJLd3cDDYAuR7QADqvwuRxWqp7Xr14onG783v7+T2+rLJ6QRWOryJSu1F+EYa UgGPBlqlCDUDwbFCSfnJdCxPnz5Wx4/WJlQA3Iip0zEA3UJmU9NEN2tLj1LODQ+U/VoenV/Iy+cv tB0J5vEewieYxllPzdAxnC+Ix4Qpw+IKNTN9IhVNKsezsTqSwJ3Cv5MY2kspx+enjXBhfiukdWk8 YxAWQcNiMkUC5CSJ4vO73/3uINQLGxvCfLgWqbVh7CmgqOXp+slsnLm+VPuPUqnhCNkaaRNrlTSQ oyOLiIBlAQ3p+nopv/3tb5Ukiw80WKPm2MYK8w/nQrAp5qZpccx6UMJpIKfSk8o1g/mPvzFtEf6O ufGv//qv8pe//EWLlADzwzXz+eLv07C0g0BQBGalhFNjiMMdDEAL2pMWsWiEBuJsIEjwUoepk7sC hb974fXQ4TGWzxVS/mjAfRBdFeA7BP6hjvrOpCuY3BcfakOsTX+CoAfB4UxYHvydExL3ZRhC4dzl UP/h7VKgHuTW0BfcSfHz+MSKTXoHBE1NBWWDYMP3DJwlYEtPFSYmEvzBa/bmB2hRtRUw2AHkH8hy s5XR9Fi+/M1v5WgUy/1iLfPVVrODRnEmPXCzYPKDfQ/Tro9NygQnNHAKLpjYwL3UpFkvNavBII41 1u7m8saq7oBmAWa6OnMMUqjhYQaO5fKKkXaxufygGR7A80J6GzwHm0mW9DXpIig1O8QnQvtbI6fT QnYqGCKZ9FN5dH6qZb6AYWlBYWgHOTZbXz/SzFaYTEqFgYXaeN0M4/mIRhBMdGbKYP4ntA+4JxYl szkQ8yFdgyZky9cy5vogYEXU7jXkKmyiMOtxNGz54N2l5maFZA6TYlIDgqBpIz3s7zTRfDZU7zwi rppO7J3M52ZzzjZuw5wYwL/Pd2aqdvJpMa0zNk88xzLxmvmKc9BX1LSUsS9/x6HVoUEg1RpysVb0 NeZVLUlgtZt70LyMRtg0ENaKSrdux4eElfeWfEq4KSAIImfwRurdQ4J6TWf/CwIL6UcosFRbcs4B 8mjQmYznYofSxqbq76kU2qaQ4RSsZU4+TgYCi9zx6P2jwMKB7zBQP75908SBURslFkKBZ/m4yacx sNsmGjxDVsgAGrLxhZC9EwCuhU8YiFppWAf4Mfc3t6bVZAOt86dkwdK8hsjuud5VGiu42aE6MQq6 WnI9bXMJnTuT4cjIr3A3In007gGGOxYoSLZmFmzl5vpSRkkid3N487bKleqlQwXdYQJiC8T1A8XT TMuiBoGYeN1I9gsV5s+fvzCKiSAFTAXnl6wWoEXYwoagxL3Gw56M+sBN+nIyGUq8BzBcKFVi0A94 Y2JFRvpZT5aLrQrtRLMS2HyFtxQaLT5H03OtbE7BwnAg9Dc0gzTFBmShX+h7RA2gevJ0iu/a8l2e CtDlZJFEXAYB6AURMSbUHMD1zBhyNLJK0RQyWBd+LWkbYfrCMbDfqKZnHmyrpg4hBhgE7SVsQS2f YL4JWRN63MjBq6MTicHSwKzazR60hW04x0J/sL4gwBnzaHgu2gue3r2O6+zoxLzdf4/AgtoP93US SAzQrGLt9JZb1R7MHx12oQgsYRNajFXs8qW8puOPRluh9vYJjepzvIeeDmET8jC/tY9C99wmD7Lz eu6qihFBgAcOFQUDdx+qxUwVSzOTQcr0xFCL0Ji/0D56/ch+Z1UX7y3l5KenijsWQX08m3nlsYNB g/jqy9/IyelM5rd3OgFhIt3OF6q5IEf7/WqrmtX9upI4G0gZpTKH+ZNkKpiUV1cAw0FAtsVPKiYY SIXanjKXrDbTxLg9mVzf3spysdJ0PsCgxv2ebFYiq6VhKhoGxHcNWVpReAP3M41N5PoyUk3p8eNz xdXWyzvZF3dydYPSYmfKp4L2P+yjEktfAWLwj3J4I6tC8r1IvosljUCm3cl+s1Wvcb9vHLrhEBpj SzTm2HN+kJPovbU8B/9mxlfOF9BhkLnBxutj/JaCRh0UQfNi0r5tqKzEUnD7QLwkTsgiFDTFGu+6 5x+Gj81D84JDDAOfJOZK73i/b3CJ31xx0AmgnuAw7/h8bEjQhvDeNHVJjtUkjXd3ei02ZKYGp3nI PPdM/80oBbbh7zYJkfO6QHoZYFwJ+FfYWVOJSgiuEKgrxtcysgfDfewbLzj8x//94HnevAqAPc/w IQ2fI6z0Fi2xrPm3Cp2g8uuiCBNCOS6xmW+o1EJVuQvsG3Dc5sNi2zzwTVexTzXra82RXNflcjEo liA9Du68FEY0K3xSQALweB4WDHYy9eAE80OrMw/GkpzYeahbWCMjAzBHaFWrndzcr6VKdjKeofAD zNSB5lgHp05xtDwUYw3ZJzSLwaDW6ACa0AbSAh9DUr+BLONEOW8JcCv1uIVdH0GyCMlByfgwofWd 8lImMQR6m3bl9vK9vD9BGp6RrLeFfLi6lPVmr1rb6uKuGQPkLXvy+JFMTmZavfnm6oOcjPqSZxhL aA3ggK1ktbjTOcXF6ce4EUxZm+uMBU4oiEkm5lxlemEuWvQ9FqvNZzORqWX5TY9Md88KL4I3khsB NR9sr4xMIFzA+ebnNQ96i81TCeEIjzeuARbYhtHQkkD7TGBaBlwvsKyt0PLt+aolIvazto3FUtzM 5e7u9gC6gIm4XiDUCAV1J03gNjEwXGeaFTJQWEzn3yewaogieBiC+QbVT4Meg8AAhhXKhNmhuWLU kwjbW0+BYCMF4hc4Vd57YgeyMFSSOrZwV9h1vR4PvobT0kg9QPoRemk8Y77RoILWQizDa2WkFDBM okm058xcFgmgFxSH3sthUFyQXCikO3gTlLsRcCDmEmJyNHJ4qG3hWjC/4WnCPXDexcXj4K0Za9GF KJQM17JgRa0m3+XltQLpSTaU3gA8p1pd+senx0otsD6MJEkNt9T3LNqSYzRXacZCYOH3o8lUnl48 0mIem9VCtvisl7ZQ4L6PI3UA0KRWpw00V5hrA+NtVdVe9su1vHv7WnewfV7I+6trLWKBAOj7Wyve oLw5ALj7ley2Z9a/m6XkSSWI2y5y4K6RguwM0eICN2+yS96YW8iIflfh/VqMh9gPBRbuwQreJHNi TNSTpxQWEwgM5eEc4rykAODmOAobVkOnCfgnHCR8BjOENHO7k4uq9UQWTcAz5xfS9nB+MUMuK+5Y 1gjjpjFW0dMqKCx5fwpN07YWmkEU9wH/DT9hCiLJgKXFsecQ44JJDQF2PDtuNnm1MOTvPNTWtHKi B9kTTVgY81UZpRr4bCEgSn0IBiIyLFhq2/a6j4TJA4kBKRAbT6FiT8yfHK5t8KxPH/5r7320ECPT gFgIQD16PTOtOKA4CEx6Iisnu1ZlCeo3tSUKMwwQQ3YYXIry7QQvaR561jMBVwpMeHpwYPJAEMGU oxmI+7McE9ORgEfDqj0aC6Z5uQvpp5nc3CzlaDJWAiVIgUpl0Htb5R1kY8iGIynTnsQpcif1VeOx 8QiBwaE/NKe6Vg5u04UoNgSNb9SXSTHWTBvHRyeQFhqJ/+b1D3KFJHvASjJ8n8g79T4h8oDxajYf kAQQ2QjyHHXzgJes5ccf/qqVcpD5APjHsG80E30/pOLpxXJ7eyVXH2zhwPz88umFYinEbrTfxgOt QI0sGTEEpFJ1WscKMUgd163hhNx0PG2Bi4yUA25CHB8jc5r24rMkcH4Q3KZ5NwiCyKfKxsbqBQcp MQ9p/5yTXS98XaOPWOILproVgDBhZpkXWH0KApaVk3BAc8L9qEFijjEciJo9BDY2VPQDvI/IYmIW wEYzWlv+d6PvECvGJqCxkbFt3kzs+XcJLBBFMaDaISELAnZoQ7RMGMB7BNdvkzMLER0AJkPsnlU4 fDjezx9eWLVmXPCoaRYBpPJAKhk8o2p+gjnj/+1/akhQkyvePhaFHzI5xLWcP7qwnSGJdZGgbTAT sRjVqzEcCxI4lRp2AaENqxH7scWu0ZPY7HThkxEMDTtdHI80TQlClUguhYaAmLykZyaA59Gohjac aEI8pBHGfSCwjIFsWhUEIAYfmpd6z0KgKoOxbYKYBoNMDBCuSDeCoGB1CsSJmm7D8UAGeSk3i6Vk dSzHF48l7g20JBcSugGM14UEHKVABgfDJUBrub1bqClWFaWUIcAaJM8yzRQngmaFdD4eg8l3Wxn2 M8nTRPYFBPRe+qHUvPbLZqvhRYwPRJgIxgQl7xGKhAIZEFyTYU/ehRCf2dFEHp2fKbfr3dV7JYqe P/lCvnr1QoO982Ij69VcCc4waddabupOiYvofzhPkKQQ41vFKLwaMLY+vLstn41alN90fECvtr9v mTls8zFGN+MRvbeRAobkUhy8L7U5QBe+lFjjbe6E+kDzVe0qKAvAjrEO4wRCHeEyFi4EXBEbFNca 8VYcxF2tJFgw/0KpPQYx412ovWsoVlVpXnmsIcuG+kTNYHiltU/iKrS55ZQB6MdyAUQBKo5q1cFB 8VmhOfqz/cvB9zDJBv1UxkhyV+8lrvaSpVDBE9V8NBskhBorm1imba1nCIFjnYrka5YpUD2PKoja KiVgHeOaEiEfmmcraEJ1KeNB3zx8AQ9QHyXyeIEDptlWrOwr0omYoILPwgRbpQnvwoBqaBFq2CG7 JYiSRs9Yrley3KxkNJ1oHnJ1zcKLstlKNSklj3IpUPMOuYwwYcaWCxsTBoOCjI2KvywWWg5KxgyW jWSOQpQT4AErSXqJ5mqCGaaBoYtcpIjkaHQkR0eYkKL5s+ipBGCIYGJgT2Ar4zoIK134cDnDJY24 LcTSQbgBn1INCJ6yUJkYqUWkkMl0JEnUU+GM2LvB6Eii/UbzK2mStym0q0jzJm3zpVS7iQzSTMYg He4txxfc1sOjgaYLFkGAbl/+8Mffy8uXzzXBH94B4TRRUUuxK5SA2UtBOZjL6zevLZ5sb/FlO5C1 dBwTmcxOJBsYAKwCoW+saBUWwYR4/+FGavCmUMJ+OUdTZXI2lKSuZDoa24SPUlnc47tKfvPqpfzm Vy/k17/+Uvo97PbAy2yxFYWB5PCMTqYz6WPn7yVqAq62a2XJZ8hGgXxUrlaj9+xRK0Yfw+yBuU2M ajqdHGw80LCojdEr6InROJeE4jJQOnA0BXrDh4udRE7cB/OJ4DnSJOFe8zsr+6ZCQnNsVZJD85n0 lFOF0KjteieD3lDfcYgMDYELdjyzjKeL+a16YeHVhcDFJnU0OwoZR0wTxDrBu2OzRBuAiRoWBnzT 1t16vdX0Q2WUKx6qTqc00QQAg8FELm9uNS5WUy5hg/v/wySkUDPtygqxqiWmcYTqO7Sc23BLB2Fl gYemgoFc19RmckcX0/ImoQkYJPsKgi7k2oLqbsn/jFqBf0NYqUanQs2yjPKn6lhKUETxBuwolmRP qRHYsTR+DrmkBiokCXZikmIhKLipCQQNELRJhslq8Vk+i4P3IOkuqeXRc8l6Bn6rIMYkT4wHBR0P i5DBovDg+B2zwcs0v1RfYwFxnfcq2U5rJpvfJWlCQGBJVGpG0jSCEEUUQqrFULHJaGgHwjRi7Hap PHlyKos1Es1tZFnUEiUjiQc9ze2ObAm6i4fnwfybzCaK1Zwen8h0NFX1XwNb7ywfFTSb9epG3r23 Qg1wBoCXxIUOwYUwHNMUIXhEMS6SJxWb01QphruASwW+lAruutLFeYI6hqHi893ttRyP+vK//Ms/ y1cvn2g+s0SgOYW89Ir12WapJm4vUecKwHvFh/pm6vH5mAv83ado8WNETIft9fMAB+eI90B7HIs0 Bc+dqt064P3IsCdeSc0e5FLelzGFOAeUDV2JyM2PvGpwiGxD7cWqNTvbsCHGOJoFEohJOk507OCg Wct2MEcXDuJ0SIeMn/g3rAIcVkw1lAfrg01vCQutGjT6xJSlXxRYH9MMDgWV4lDobCwwyx3TCDDr 1M+4vxYN6HoGD4tJ+MHyAu2hNvq/8Rx/7UPmpiUWbFPVMA6RQCfqx/nyWDAFqOZ3n02MCwcni29v G1waSR20Ij+pOYGtbSb0yU5WTlDSlpXfg93tEgRigD1Xi6/KOnP8WDK3rfT6SOpXShrvpZchZMjS H0MvBtakAc7KZI+UFgAtaHF3L0W5kckMYTIb1Vy1LdtY0+yq+VIP5BTlozIzldCuzWIli/t7xcjA IpcsVlOOCx+THxgciqVykifRuTObAZxbznIIPqSmefriudTIUwbAfnmv5E81qTdbubpbSDoYyXK1 0d2dXl885x++eK5YHjAYb4IxWJkaHfqQ3lrL3mHkRwaog9lOjcqHjlHw0Cyic4bAusclOZbEZr2X mwn7uqXcojCnWH3ax9zSLPNOFzwD744PBQeEEAQPoh9wcHMk3sg5Rf5V+47wjNrzuQHynei5ZGA6 4QvOX58GWpP/jZCC6EYzqSIgHcoASMeMlGDb2SefLbB+7ntoJWr+Ja4KTUjUZppV4GZ1aAyWsobm 4sf37Qorb98zf1XXq9I9uhwuf3AC6fOUqNYKDiX4BI1E1ecgrKiWg4S42+3VFIP9TzXcFxLgB8dD IUjcEcnqJbZELx+zM6oLOywGYiR8t/XKgqXZVlZvoWdlPLYEgZhgFLj8LtnD42YLIUugRVphzCzL FYcDOLqbL6XWeDAz86HRwdzu9YyEGfVSyaERliAi5prGWOPDRlOt1Mwsq/AwwSSDFj5AzCUyYC7v ZTAayvmZmQsAZik00EZoXDBpoSUgcBqL88O7t5YUMEk0pbKFN41kDG/1fidZGqvZKAm8TGaWLebz pt+u3t/JH//8F3nx7JGczCaKReJ9cDCfEzEiT0XhT2pUFApesPl7eI3HM8C90OIm5hckHSucn7yX NzNrt2lDQ/FZRnlfHw3AucGIDZqkNo9M22P+q6Y2Y2nRHPRoW/FUJvlr1yPxNzzTJwNkYkoISLaH 78o1hLlNCgvCmTTlkHqrg1AL9BjvQPh8Daspv/VAAHEoeCBJoCp4tdULEzrx1Pdt8DMWgZYtDRpZ U6bJpUT+VJu84PG/e9Dem5QP3UefqKBzt+5hS7Lzgc0cKJhNijXlNCHMo0dV2DPfucP63dNCDczM IX9HE/gtN+adCu5gmGUaLA2Xe9jFeHTjGP1zyXmCF5fu6sZswWSGCzrvyXx5J4PxUGMc823ZYB9g gW62Sw1VOZ5OFMsCVaDsVSKzqdQV4kZ3isutdrmm+kWf9AYTGQxHssyXJriQ7TM9l8n4SDNiWHxp IavFXE20WnIF0E9Pz1S4YvP79ttv5eryRifxV7/+QufA5eWl/oT2df7oiQo3ALmWOeBI6sFQzUck 9oMGtdb87on0J8ea8RQgfF3u1JEBLc54UG14mN9kqKkwdpPCh6EqNIHIg+P4NUHFwaVPDzPNPY4L Q2+ooXvvHce066yh8CxdGBDOo4nX3bh5D64han1dodO+vyUkgIdQQ7cWeyX0IlbT2g+h01oKfvOm MOK7cZ3gXArA7rtz0+UGC4Ddp1RCW9j/7FeNi/w5YeUXvDfZmpclWRPJ+IOgUUkobWl0RWOC+hiA LXff9p5+cCiR+Rz/91/S+HiNv+9D3/E+CE/Qc+Dh6xRZZcf6QW46HG+pKi/uZ7sPQyj4Lp482O1P 054mGufm701AmTwtagbgq/l+4j2pXXEie/wAf8OCsUmTf7TTwSRcbVYa2oIx3G4QDd9TLQWpVmxB lpqWBaEfZblTIBug9nK3kvuba5EBikysZLXayEbV+keSTwrZ5fDMncoSZNcJ8pIjfUspy/VS9juA yAutepNv1tJ/9hQdosTEwaAv//RP/ySXZ+fy7t07+f7779W9rRyqwirWkAD7m9/8Rk3Vs7MTuUft P7jetRpSLKPJVOMsx7MTmS/X5iHtnUi53cqPb97Kd9+/lq+/+pWav4WGotiuTkHCSABym7iQOM4U EqSHcBF77NVvnJzPOKgxkP7g4wg597o0GY576YQqDghuTSiJ8JWZlQzzz//hhx8OsoYemHcofhFy //Pd1eJx1gwFEQmfSWLaWaOlB/IoC+zyO5/jioIJ40sBRS8nIg+Gw2N1TOD1maEUAoweT27mSib9 xdXvQlaYQtcvQAXhNG8zzTSGDrr0pL9wdHEbP/heq7Cfh0D8LwmwrsD61PkfCZVwHsFEtoUDoZVc +n3ZViC6GbuZcYYUaryOu1xX5W8nIwo2WNUUHOpxUm5P2lZ0DsHi6n11JgTNC+7IPjeThWgYFwaC leZK8y7FTo7PTm0CiYGgvXignjCY+KNBX71+KN0OrlQB4B6AK9oCraAqND1xidg9xGRGW5mMrR+q +7XWbUTcHOAqOP6s+vBC8RFQJXr9WBZX1iYVrlpVWOTxk6fGxcFmklsGSnibdGH0TYtluMvZxSPN TomSajiQcQLCCQLryYtXss1rubqxUlvI5P3+zWv55ps/ySiLNL0NcjH5HZyL1Mf4EavBwRxkzKwA TY0mEblSvB/azYXvtSkKrDb+sMU1vQnJTAse2+zO4e+++06D1vE3tIUmFtsMYY/7Aq9D3zCJHzdi 5H3zUA0gAXVghVQwFFgoaEpsFPMd1+D+LMyK/mURCn+Qw4i+gHmI+0Gwon3YtMCBs40Zed41jYJm aEgT8462lc8T9Uj+DaD7p7/3TdQF2pTSCgak4lc/L1jaATnMttBiVu7+Lgbr5zAqHJ6tfNBGgvKB lwIvov6b6nJor/eUUDDoTjKA7T5QIeOjyznAvL/XgLgQaCZ6cJaLlpgBPKse9+KC8Du1Xos465AF 0xMa6SzAhLIduzVLqbXBSxn1Illt1lpzr5eZ5oCJUiqLvNJFALc/hBuqBUXIRJrAwzeRyfGx7FMr WlEMEGQN7hWKlpZW5AGpieGCX4PtfSvz1b2Ga42C6o8JD3wKWgDaCw8h2v/v//7vSjHBQri7vlGh jdfGNdfXyJl0bdpfnMiHm1tjUs9vlAd2cZFaQYyrW/lwcyfPX30VqgrDS7iQk5NTefrof5fffvlS Fw7IohwDr6Xy377WINrILLFaBHU6bbQamnIElpkWBudzXtFMo8Di/XGwP/hcbjxKYenM29hhWajy DBOYPCjen6XmGX/oyaeehc/349/I9wJRGGNPWgLJrl5JwHVk3VNAesIshB6wS1yD+0BgsQoQN1FL H215xfI9UlQPNEMKIAZ4mM/Ozp3A2rYCq8GNgnBqcrE3gqP57UAwqVqXJjJAMc0Y5ECr7QevGnJg MWzHSzVgGKaVtRgWmaweTMeLtgUn293H0me02sXPHQSaPabkMTK0kcx2r0qjHWQj4x2XKLgZQE5M xPu7e0RDKbiMSUPWOjqZz2GJLu485FD5jKWMFbu9RVgNzB1Mor6cnV408WaqjgdB5mPNVLBggmm+ bDPh4ATAdfgw4Nn6qBVUOFS4lTaxcN3RcCrj0ViWd2slfg5ShNCEzJAphICZfRKjNiCySCKeMJWf ri6lP54o58tiMEupEpTgSuXq8p28evWFbNcL/R652R89PpN3794qN+vk+EgGw7E8eWZaEHDtUQAA IABJREFUEZ7zpz/8XrEpLAKE2aw3a8OTolS2+VZzaSEfO3g56gkdW1K7P93fWtn4sLju50uZr7fy 3ZsPWi0aDP/ffv1rqfKNlNuVXgPS62a9kH3eEj2pRTAtL6kJ+MD8wvgS36LpSM8ivWo+9zpj/rhm tHJQWNzU0hj+4sF5mp7ETilIsrCBAtPD59e//rV8/fXXDZv+P/7jP4woO5s1WBq1Qzyb3mMKT0Qk 2D3BXjdtCJVtyFbH/GRIDTY0gvd4ZxZOZQAz38Hn7ILAombP/vLvgrWDf6szoNeWEiMlQuee8tAs RfRHGtZnxgw3hy3ytvipCTcIBwq5QLjSr1D87DCTg6rhjlRKzclL8SDmmr/b5/NiBb0q/dB3EJgq +IJrngucfCJqPtw96R3KtyDolbrQcHCyc0L50BxiWzyPE1GFp1Q6sFhgOCjUOKlxf8YH4joWEbBJ gIyRxm+jsAUJ15s0DV+rg6lw7HpZT2bTI81nRvxMAd7gxVlv5pZZA6EbCFQG61prNyK4eC9v376T 0dEMVfuUsQ5vEjQuWI7b3V7+7X/8X8oUx3WL5b1MxwZ6o+IwNiEkaUO2T6bKUbb9qZmp2JVRal7b GsqwRUfGf9L3STJ59vyFeqRVcECzqAeaaPDiCcqMIVl7X5bbrZqN//Zv/6/EVS7/8rvfyMn5hQHi LgsE6Qpc1Pjd0wK42ZEcSs+gJ37ie/6dWBf7nHPLb7TUmIjr8HxuTPQY8/o8aNC4N8w9Dzlgk0Ks KIUhFjjNLwpAnyYZx3JleeIp3Ox+liXC2mhziZoiY/3oCSQtg5aBTwtNvJHrluFH/l3t3XtqCtLU pJbIPoeGTw0yfQjX+VuElvI11DvY5UuZwGpNytZ0bDExo0QAOGXtQoJ+/LQhBu5aXWwfa1i/JLz8 9exE74X0ExM1+7hrUpD5nc4mp+2OzHmNAz991gROJMW7QrQ9r1ctZ1eoV5CCTIujFpVTwfGuZm6o BybgXIqHpUbDxYLlLga8y7uOqbFyl+96npDtM+33tLzZHmWyElTQQTxerpUZzDtp1YLxAUt9u63l 8vZOeU5Zb6QZHVA+S3Nm7baqrdYVSKFLWa/uZH9baFgTCh8gB9b06Eh5WEjYB21yfm9cI4YWaXUW 5KcKWo6+2944Qr1kJOPpTPO9IysIYjsXi62cnj+SLK7kdDazpIhpKneLjZw9OpWr+4XcXN/KZITa hRYsDjNq1EM6GROSFDh4PnEezhVvalNYEWjmHOJ4U5BxgXJRcv7w3/xJ7YdjSrPMp7ImjwkHhSZN MW6IDD5m/ynxNswhajbUsHBwnsP0gmWk4Hl/ZKRlfR9LPWNjYMIRz8IcUbMyhmcPG9qqCfOiRsqk fJZivBVWBP4p3ExQhnQ9iWGufMfW02n57DV+FvUjvUD5rwitrsZDqaTxeJpKxmEuYKczqZ9PhxzC YAiqm+Cof8FD2P795ygMXTC9+x20pIfeicLLA9ucFCrA1HvUYj5Mx4Hvfc012uyc6N69y0nItDHc oRT7CClI6FUZp1aHjngFNK/TM4tk9/iLr3Nnu3nrtep6f/C3k9mJCr2r5ZVcvrtWzyUAdNADsBFt 9qsm9xhoDVsFX3sSJ32J0p0cn55rGXSJjJV8d2OJ2PA+2+1Kvv71S/n9H7+R7WYrJ6fnWnQAhSAQ 7gG1WxMkomT53qq6YGEYd8viH4mBQGDRxFbcKBS02O+NuwZhh7gG8LW2WOy1ufyRhBDxgIhhOzs5 lnq/lqGmp0c6pEzub+a6OVF7xb19laEmyDnkpKd5SO+g72suMk949GRSYjxdz59fg94DyPt6GCNu agjaudBC+TtNM/KtiKlyPJj2hny9rkPL0ia3qYmwNobDNgcbKRqeX0b+F9tAbyDmqjcTPd7calZm KcDUhKfa+qp9T0IgColElVWMPlyov5jc4MHFbR8EEmMb7vJBnDnirrEMpB+XmDcafptkjOqj1sE7 oCW4e7nn/Vw7/eGFnHWk2fT8u9e2fNktqsoI+6G71QPdPpUMBhnmDz0+Pi8Vo9mZWwjGIScCDguo tWdqO2FOa2rpQyEOkxDgdqNqo4ZbcAXbDvZwgjjtey0iYhP8D//5e/nzN9+qeo77gG4BU3+9XeqG MhiPFI/c7BCzeCrTyamsdpVE21IWKwjfvWYKnS8RzIxsnQiVKeXq8q1cfvgBTkY5mo4lGY3kaHqk gduai7aulQAKwfTHb/4iTx+jSspEUyu/ffdei6eaJwp8NAh1qwqNyYv9sEBMH+oygoe1mjfJ4hDD CQ8i+vrr3/03wxjn97KZw3NmGQ0QNI4+ZF8xfTTH37vnyc6mqx2HkRtt/rDPffCz17pbIWD3ocDC u7ZrpS2KS3oMtXLOr4zEzsCzY4ZOHtSoeB7rFPJ9MFeZMQIH51xLzYC104YYUcuzbA6HTh8fAUCL AUKN5htBfs5/v3GyrVRU/PNhJbB2KfBuhTdS0xAbDetwcbufn8dMOBAMpkk5rSvEHX10bjiPHeq9 ZwR8CVpqJoVPCKSu0PKd0qU+dL9Lg2SvpI2/8pMMBzUlH6sFdzsO7HBW3KEFuOnGJlOdOFgrRNqd 1XtY6CbXSY9ip2HyKagLl28UKb5DQd49jFvTVh32fdPlubEftlDz93sVrFlq6j8mppIwEWuIfFHA 5vo9zTj64fJeKQNHpxcSbwpZbWHb99QjDMhIA1WjUopyp1ks/vinP8lOnQ4oz7WU6OhECz8kSU+2 SJ0yAChs2JkFjFsqZYLbTx49V+/hyfFx2EBMazFgfSHz5bzRhJDZAYHXwK6Q9kadDyfn2sfwUK2X i/+PvDf9kSw7svzM9z32XGqvYpFs9qi7hZlRSwPo3xYgQIA+DaAR1IIwC3p6ukkWi8xacondI3xf hN+xd9xvRGZWkd2NGVJ6hajIiHB//t6799o1O3bsWFDVfDedxphynVYrmxzQQLboh1d6Rt64jE86 y7ar16MetiqHsaEos8E2Et4YS/XOcr6V41Vmvj3fOJpF2GWMCM/S140h514ZA/5mT8cJAGNqDl89 T2wsfC0lc9/Gx56cvSL+znnh6Lk6gGvgOdsol0TYEvuzE8LvvEnk84bC89AW2KvFw5JXtl/Ij41A /AHHu1nkj70gZxaNX1msLkF3c032bnBJpEsgP787m2kswK9579UVntwPva4EVn3sClUrN9YPWoW5 lfub3JU9Z6wMGcrQz5OkxDioWCf83WNzuSuRBXtsdBM0LYFcnsneKyx3qv3nWcJmj32VrjmUAhDt o8PT+OSTT4U9wYcBEEevaDDqx/1sGut6xOs3VzGegWP3Y9toxmQ+iW7/VBhYje7I61kcDjvCrWaT W5X3nJ4M4+zkIMa38+x+s14q40qmEUIpAm5cR4q49cVv45oury6lM+9QpkU4rQ0k7x3DRi3hzX2V 1KiHpHggnvLzdy9fR6vdibOnz+JuQnZxGgejYQw7kEezxdThyUkspjexXqWXvJ+3+xS9w5LH4PjO 2NQsfLffzDwW/rLnbjzKLdzMCn9srB6XdZXh/PpRDwG+TLOwh+PsOufyZlnCAQ7J7JmVWcPS2+L1 dEbimEyutFkCjPNZbAYivm4SHMegGa7AcDKebo7ie3SN4d4JMfOeZ+eIy2us6iBfJY9gHwgrS4VI ApIkfRLV7TjoFSS1UzTOoSj+tYoGAvQUQQAMyxDxvSleU8XGUgZKUi8+T6VFxfdmp1URI90pej85 9sbKizMNGl2lyUopTKqtfxTDepcX6fPS3aYutYVKz0reEQ8Jg5PYEqA3qpjW+MldM3GoEl+we1zu ppZ6LSd+2cn25flLyeloElc6QmQYEtPKLJWYv4Xbndyh7OaCygSeKk0jlq1kFjs8KTNSpVHzAqAv n6kAfUijzZZ4TgCxiNhlU1Dwm3W2NK+6OfcgCg760bzh3pJwupznePbaaHpN4h4523Y9jmCa396p wBVNo6urcfzu6xexWtfiX/zlX0S724qffPZ5/PzLn+6NBHWK32X4XGablLpv7/E+GnFiMCC6iiHd w9B3Y3R8Gu2baRyfPou//btfiuuFIWQSIoUzqBYbNIVBdx/G28DI85zNdq20Sg+p3LT8PB2OO+yz ofMYOARzJs7el+dMOWalkbGnUs7jbWFwTHkwvsZ7uCdvesYDfW4z60uMyJCHDVY5Z8wud3syDJbH xNgsXiuQxHwyldyxiKHDQRwfH8Vt1c6NXpRstLva2E725cx5mcTpVICo1COqZFP5zFfz5LY1aRop QcUqrWcvKHmUuWOwkGSIJG9cOFRgJ6tZDEmBqySnIkIjtlahYSxGFhUlHiWGlV9NacLngOSXpT2k 7fUg5sXq+32unWNXfMirchFRrV50h85PyGLsynvkXFJRXNGAICfrsD/aubbrJQ0QBikZPF/FZDyp GO499eS7ucoqeff/K/EP74CWTDH25fDCE0xidsOBPBk8LUBOMiE91qEUe7fRH/YTTF1MI2qdaEER aFE6kyE1tYwYT4wtmFdiH5lMcJo6va0kSGJ8wQNtnIe9wzg5bIsnhbjdwbAXl4tp3F5dKhS7m80l wHd5ex+X56lPxD2gctBqMzbzOH95o6wdGBWNHeg0s5jTTXsjQb3TzihmhI8KT+7is88+i8ndffyH v/m38cEnnwnzMoNci2i1jNubKzV94H7INvUGtC0fRneD5hZF56s4PDqKZx881SLlc86ePYvNthEH J2cxuF3G9+e3cXL6XFnYi1evotPexvFPPtUCwxv4+AOUIBYxnRC+wgtDn76m8wlbo4FFuxdXlze6 b8pFeO530iGHWT54YODKGkG+u87PLdrZHMyPczLFgDVHGe6ZYsLfnJ1uVhufQXdeiwAifRqHfbSs rsR/Y85x0EaNprRUJNBnku8860Yt+VRI9ZycZGPW7LTdjNuqlIvifqg7B4NsJnE4HKXc+WodHz57 LioKxggbsJgttKFDa6G1/fj2Wm3cjk6OdV1X82ms6VlYy2xgBk6EnTS1JdO572WgZukYc6ohur3c sKaZyUWaG9nsDNFcdJyCMbuY8DFgvs8CpjfWQysJHSJV4tQCCT3pS+0wp9SmShzrsaeWKgI5YPma 98Xy5bXsSab2Bd8mj5bhVP77ceiY1r3VpH05pQdpRDCWeCuoSuZCz53Gbiu1Z4RwvEaAbTtd1hJo dQ2Vd67Slfek0061JpPYirvJWF9yxRvDIs7P977T45S7Wj6Dh7H/43+XYaI9A+3QMyZSI+pVOzKR etcrMc3tMdzfjuP6bir6ArLJyLVsa3NtTIGUsoBSeFQoO+BFdKPXzYL48e29jDDXKPxjAdWBzBwp czA3ujyj5T6RLjkeEziIPQot0DZgdnKIdp2A9azo1JPyJhjg65v7WG1IEJzIg7sdT+P5s49jhQQO naFbtFRnfqJGUUmj1JbyROzZiFIhKd+DnREts3plUoVnU7LcvWGVjHDCVmOx9gzL85T8rTJ8KwuG S4+qU5XVlEqgGQXsOzo7POR94FklD9CvcaJIRucRH4y/XV9fquSHsByDhSftYnxTdBini5ev9TkY MHV2U48Bkh/3+pmxkwFs5vjtopF6W55WdqTeq6uWjT8eX6u80UoBryqh8dyvmLlqQV/BXDvZhf2P fKUbu3cjfzxr5zIdvvYCd+VDKyfJ478/BtB9nv3vq/CnUI3whT8MFfN7Toy9W70rZq3OZxazJ6RB SGcNCY18XWU1utPfj934shqfxp8MqsMIJh4LxdnEHERnjx6mwj2oZRhcGimX4ZRcMk9yg/ba4cGn tANX0syrpVrM44wiXHczvouLm9uYLtfR6R/EsAv4PhVJkxCPjY2NC2oABgutK/CGNfjMiqYWm2hX 7d25L3bebB67Vf/C6WwW31ZMak9aJvmTp893i7berKRxUCMtaiY3LHZwwvlKwHmjPYzVJr0dXs+z PD07jvl9I0Yd+htGjDq5WNrS92pI/33Y7+veWYAsTi9Mf75hgFLWx8bElRQO78q5YONRMuedzDEn y3OQo6Q92LB5ARv7alfUGW8mNJg1gdPjnjWbk10I9niz2lFgqkyf56Wzn5zbtX/U+hGuUS4j+ZdB 1pqqqmK9Vi0jCZvDIzzHhuY0GzGwhTbuSBY/WWGz/EsMbbnOZ+gNwx6qn6E5jV5TD4ijD7KDiYM/ sFMPDZA9sYcs3t35HjDR31c+Y+P1sD7OXyXztwTOS2P4OBvm2Jfu0oSh5evf/veeWuEB32VQqkFk 8iuOb6YrbkOACqld6XIC++8lQOsQwYvSE262ZCDyZ8IFyhTcJcRGzF1MTB61USqNeXlf9ubs0TmU cNjCJHQTiwSr8zyLGfWCuZNBEGUS3c+WcX17p1b063oruq1ODPpHUe8exKzqFNPYhDwweFXoGGEA F8uZIIYsnyLsz7EtJ6Kxr4PjJ1Wj1iy4dv0cX3S9FmYn+aIEqQndpDCw3Og7xhL+FzLG4n5Vmvgw 5J89HSjMvb66jO1iGmtCgUUjhn1CeOR9we4yPHLNHedgAXJtqbU1SP5PZeBLSZ/SQD0eA88bGxkv yLIKwtnFEvTmu7Ep8/vsWbYqg2cipQwUmvtVreTjpinK2BayL/bu/dmOKBRaVuf0xuZNGY8Tw0+n G5WK1TLi4HmVSZ5cO9tYVbr9WW40zCL63lChJ/JByF6Di/o5lTidryux06T+YFC9aQh2UacbG6h3 OEQqYN5HVAmsK5hlp6opBKBav3w99Xl7xnpJzHxf6GbDsv+gZGj7Z+tkpTHdG8G3i6oZAAP3iAfq WnU4o1h6WjlJ/JBUM1iVwSDYx2TdlWw0zAfb77L+92NQvwRmH3NnpPRZ1buxE3EPaDSBO1AdD4PY PfxsRMtFUhrex8XR5TMtw1C/30CwZUH0e3BKmmlWY6CdttVWG3o0peZkMNUdZxsXV/cx3HZidHwW /WYKDvbomHJ7L4oCIRqM9uWa8o16HB8fKtwDk0pJmFx4lm9mAn/x059KycELWjt3de3o6ecirbLG usYcN0LTZq0mccDjo7NodWGdE5aOpcpKFxbp2XebMZvex/zuKraLVrSPBtEYHQjHQ4t/uaSVWLbm YkGYOFoaorIZrAHtxxtG+fy9EEshQOOXNnweI9NlSuqCxRxt3EpJmJnKjFL11HNsR64sohQ3H3VY ZXC9pMPwWtNupGOvKGOvPLorH6ugD0J8ulzxd+oY+T2brJIuGySWk42uDktEA9uaNpb2QVs8vraU LNImEAqq21UBmfj+H4fn1h/TBluuNXV8eWS0DIZrUcijSn+IMLDFDxVvYhf2vKch6vu9rP0iK0O4 h+Fcadwevr48SjDfRssGa7+oHxosShAoRTFRj4fE16Df33FNykyNQ0G7rp5onpB+6CUAXxIFPbkk VbzGm6A6Pd3lLJXIXdUpcEluPJIX8Y6mHXknfPiwfZOvxzugsRbv3grR2i2RKVddBO6yTILCYvGY 1hE3U8p2+tFqbGO9mMb5xVXcrWrRGp3EwaAXm1jEcPCwSSvP8v4e/IF7rZ5R1a+SrCehBYZM7Onh QJpXlPcoLKBmrcKN7qaT6G9SqSCVJQhjHPbgzVbeyrYRH3/8qRT6b25u4/zVuQwWx8tvv4t/9S// Kg4G/RjP74KuZQeH/Tg66KumsLbJ7K8wmMqTcrUBn2mWto2OM7bmYj1mpZdRgcfA+k4OCR12GWqw d2SPrQztyvFzWLesOFfmQpm9zuEQyskLe9ccJUVCq7GKhhqNvdHI+85MdRqwuTZSG0oz13m9Gww/ OT1TmRWNWkp9e2S3zbYnQwhWnDgw3hJE0H3TDl/b4wyt1VFtsIRnPs74i2RaHXKkXMRM+hxptBq7 DCzmlA5pytOo5F+qcCwfCov67bIXFT/v9KbeJpN6ApTg8Ltes//a1yCmt+XQ8SH5zryOsr7RuxwU jDI7o/bk1a66Y7kvc8fz7gfmIykRZSr3RFNPvJIcVyos7A0RCybPYRxErvwmPSG78r4PX2vpgmsx VcXm3JJxrrw9F9GyuLMoOhchC6RqGMBn9MBnyNZ0YzpfqlBYWV2MPipZLa6vEe1VI9rrejTag9gg paxOSPVYIN6ozE3lgdAOjaLh2USTmiyVh1C6//LCm9pdud/f/fK3cXB8KqyUxYCqAoZs1GwoNBvf TR7c/3Qx12Re0JxhsVZ2sNXJagGPKyl2slyL+VSZMwQlIbMCtyPPTGLhbnyj5AKdYsqi8jJJ4TEo QXGHbD/k/T4Gi0sv2xuJ51pJg/HfzRYX9FCB7OWmxOGN8ugg8SvOwzNgs3XoZwWH8r2lgeAAd0wQ HwOa2F9ibJnFVLharY802Lk5TSYA8RigjahJ/VrKHUs9WD0Icr6Njo6jN0jVBXnJVRG7m1k4JPWz K9cg78Hj9XqSgYsfOTIhld5VtufaooQsxU2MFhpEtJnK19pYlJLHP+BdVcoN4E3loHvCvM/bKn9f Zv8eenZq/LUzfCproW3Lo3MIEylwpTIrY7oCDwycRrQG5IoBQ9eJCdBqy15TiV+VBM6SNV+ynBGo 8yLbseGbuZvwd3CCwSDVIN4FtmviPcrm+vN9jw4HDLSXnh4kTsY0cbR0wc8vLqLZRQDvUEoH6oHb 6MTwoBed4Um0+6PoDw4U+qdXkzV/OX4ZDjDp78ZZFnJzfSs2O9wu4RLKODUFyEe9VfUuCnXu4Tzw njqbrOWTECC98ooKf0Bdngte1KR1J89InXhux/IGRCOp7uuDZ2exmN/HQb8bjdEgOu1anBwNpec1 vd1I4gbVCKgLzkp5k+Kwx1BmCcs5apzHRsjP2YuO+3fBcUlZcLhoj8gJCcMGhiHscXn8a4Xiwd6A pGHNFmV5XhswUyPKTLMNluECxtw0i303ogxdBZPMs2sRP7ug2XpfLjsrPXi3asus6EA8POYwWCwA u0nSnr9wKm18bbBcTsSzU+emwsA2DT8VNbN7ryqRdp0UZpU6DOLSNUKNLlFtXMOt2VlNjEyW1XAI J1jtQxoMlB+cJwEZHrO13wWsE1rke/bSNSUFgkzV2yHow44zWYhdsWgrp+5xyp+HxM7NORgIQFsG JUXe1jGtQgLvWmwVnhCenAwq77UbzQAz2PI0Wi2liPnMb7/9NifzKPvGhQxThiSddgKOvM4Kpr5G 36N3bnl4hByNEIemfA5+zgZp8WowHDKsy2rR0EKrm4JzFDazO662EedvXkfndhqN7jCi2Yur61t9 Hx6eRLOTUriAp4xNo8IpKF49PTsTafB2DLA/Cfw4dIxen5+LpzVCt7vfi4vrq+ym3CCj1IjtwSpO jg7j8PgkLq/O4+BwqBrCX/7y72WYRFQcZt87ip35mWeaO/BR7uSjevzqV1/Fxx9/qFT9b3/zVZyd HkYrltE/HUWvNRITH89vspzJYD4/eZaKrG4GXHhIztBJl6tgvTNefLYxItfTleEMRpyx9wbn8xoT Mk5VasbbmDm8NuGYeWEVhlnF9eLAaGPcOTAO/GzVBqvfUp/Jgud6DGVYxcGeHZ+RGwAbKV2BroWl Mo9/9et/0HtYA99/n6qmzG1e77mJEZrO0zNrQGSWZ9SK0eFRjOjrKIOOLl62Y2vgreE6oIXXhGS+ JwfbSLFOSmzO61rertsEytkpjNYuxONh06C0Tj+/DZ2ZogMIh5tNX0BpYT0W+zMoXsSXBTD/wMP5 keNxVrAEOm3E3j4qJv2Dn9NKP/DaNjmJnJHwjlnWUXlQy+8lfYEEA5PVwKh3P//OA877FMoUzGNc U56fyYBlDeBj7/JxRjCNbYYk5bN9vCF4dy3LnUpQ3vfoHZuDhhG1ZjfuFssY9Q7RDJUIHhsR0zrb l0c01q148/I7fRYky1xcKCuwUAdxetqVfI0wiKpFGdIzvod8ptkterlqxcWb1+JE3dxcpTw0NWyX V8qm4mk1wYCa+ezMTGfxSAL48CgOD7MDMjLKKDNQjH304VN9H/U70e/1owZ2td2oV2JmArND0GOv mO/GazD4VkLw83R3Iwv4iQTcS6KjvU6MDJm1r776SpsUEsWct5R+SS8y8SPTEKzKwe/Qrecz+N1g kETV169f797ndloG8N0F2u3B8Ih8bm+wJS7r7xblc1E1c4qx4ABgp+QJgN2bJZ/l+7cnbw8VjxWs EoOV83MfRYBFPvjc2+xa7rDcDPqybVk570XpS1xnXzpT2hIkb2k8QAdlKiGQ5ui0IIquo06JSKVV 5YyeF8OOBFoJ4xWmqsJc2JF+L5v1YOGWC3NnKOVJVV+7+h8TVh/iaFkJnt9zwTc1GRgwKypIUL8y ShbRcxzttO8Oz2glxsCXNYpsFNxZxfiFw0bjIoQ6EEdNrivxkPKe09C8XbjshZWdsveKqSVIW55z B/ZXX8qMdVoV4E5jVTrYMHGGMV/VYnJzGYOj7MDcqrqYkC3lsZLgRDNL7n+/t7ufWRXOCD6o1+Pj jz+OyeSoMlhNdcrJSchkbKoWkNb08zqGYR5Pn5zF3fhW6pPUHq5bjZjOljG+vhIGNugO1IUbz5AG qdPpLO6q8IR2XxjTwfFhtE6P4vL8Zfzq7/9LtFrb+LMvP4+DT57Haj4RFqvU+ZzwCdrFng9VKoG6 sYI7L9urdehm0NyGgPE2pYH3s+BdZwd7HiPE3/HQ7Fn5c53E4bowwryW19jbcYnMtqJ3uMt3uZka kvCCLwmkfDnUMkaaWUvCNxqAZEdovHBHQnhwZHb/5m/+RryqZOYjJIlS6JlIsTQGAe8CWFeta6cb oyMyrQPBG2QDPZeRKGKzyDmdYaC9zBLb8zNxmFsezRrtuYRI7ekNSR2wCUjsqlFbR7veiC5pS7wK GNEbFC8fhnCPqQwJs+6NjDGnHclUrt0PV1o/9jL24RHgc/yeBwZy/2J7G4S73i35eafIWE0gKz56 knqH2mEdBSfH3pkHwM9FE6FSfOAcTEbef/r0iZog4ErvDFbFDXsfbufnmOemomCU/l6YAAAgAElE QVStVLOvqTRoJShsD8opa+EQ85mIgJltS5C0221Go92JubJy2ZVlvog4Oh7FIS2foq7W5soGVaVb aF3lRpTCdydPziQzhPJohtb30WG3C9qiJz+JseCeB2sKYlnoAPabWM7vBbTfbCKOT05lmJbLSsdp udacIwEilLKOOsRQKXUWFHjLk8FpDMCsWBhHh/G3//7/jo8/ei44g6fb7TMGGMAM2w5PTsUT87hz bW5OisHxM+P52gOyQSjlgCzb4gyjvWiMFSqgGG43MsVT4X38jXHBKBkb9WZC6GVdLp9rWW14bKCm OWCEbLzIuBIO83mmiJTAvUNBl5E59HSmUVlAiKFFv0w19JC2WdIpIJJafdT0hiS19kVTIQGCsSL8 E4esXsmBN1BaSOcmvXsw22X0+4lROQx3wsJr7nGGXJqVKssR67xodKpCxMwE8r1NKNjgC4OVHVPW gUUv69USwN0trgdh4PtAc7+uAs2cQdR65Mr2/5mMqh1AtYtZnvLQutnq2iPhvkw9cPayYIRX1eYc 5inJYyqAbXkEeBVFBb1F0eAKlanvUk/J7Hmfx9mPMgulLAyDadnYRwb4MT730CghRMfOtGfqu+ej MZic6AmE5u6c5ED3n5NiqrI7NU22TTOVKKhP5L3juzuJ8zWq3XEpvC6VKKnvoxMzSgkUuPra0lNZ xngxjU6rKYwDvhNJj9vxWOeUtDO1jIN+nBwfxfX1TYz6PSmSTqbZBZrr7nf6UW+14uz0megWa+om tyk9jYd0eEoz1CNlBunC8vEHz+WxvXr9KtrNWhwMB/FnP/0yTo6ORG7tHg2lLf/Vr34j7a67yX/W c3VIbyyTsQVLYfGLgtHr7UieHl/GlEVcivzxe2GRdMmWVv9V/OQnP4knT5/G5P5eBsvdpAkVeQ0S MTxPe+721Nytms8htHzx4sUOyM+WaN1YdFq7CEH9GCuyqTFVxhCD5vlnj8zAOWU0ZGbbHbLC+yQQ mwyGHc0wPgds682bV3Fy8mf6mY2M15IE4YtMcbeP0cKYdlUMyyYEnpUh71rKuKsdXk0CL8fRLH6X 7pRZVmNtNloqfs60tG1ETdSGVG3YZAfgek3SHc0GJYtreVdKE+OJkREsWn+VRig9oH1x8gO7UnCh fujYZfkeLV6d7/cOKVmse77U41DLnpXDwTRQGdLZAHkyldfBYcG48tx2t20w+OJ17EYOMdV0wU0h dgmFNMCP8SobqtJg+dmVm0W5kJyp8u+c3rZnkOzqh16rwqNlTuz1Ko1pb3QYd/dzFa8SqtFcc1rh KbV1KqImGTSpEip+vruP2f2dgG0M1t39WCoJfB6NDlTSUmW75kjsTtpqVIHBxAAwb+SJ3d3GLa3s Oyk7A7BPk430GBOGIOUOqXG9xONtauG9ungVX//2N3FY0SQ++vDDaGxXcY+mPDSODV5LN54968dT 6iALOWNTCljkeDluGmI9dLPCed2uV15hBBhPl1dxEFaJBDse62dnIHneljNWvWahUut6PvOYeA3f r6tQEky09OCZV2aem53Oc+Q6XPLFPbkvoAmZDmU5l6oOKilvfsf1WJfMuJhpGLwXb47PL9uG7ZI9 tWY0Cl0wJ6toFSZlPKSO2eVozjvdK1M4A1rCGeVaUOgrD4t28rtWXPhalfieQopatBrNaDXBsEgf sous1JuuAQC9A7cfhoLvMlIP8Znsh/b4NY+P0uC9nQ10/ZDxqh8+8rMzNExJC7KUGSLZdfaAuUTH ICS6TV7sHP47g/pYhbKsgzSXx6UPvJ8JpFbe7AAPro3H+hDz29MZHt7/bseRa7/vvlvydLhuf6b7 5ZmM5wkG/iOeULsXM9WhsUND9OxHKxpxcHwc47vvNXEtqsjDw2ih8PDdy5dxcHQUZ1rcvei0M3nA JjeZ1mJ8cx23Y1rUZw/LDL33InGX45t48+rlrgZOxrXZkToA5UKA7/d3t/H9d9/GQtQPt0fvqRyn 2WvF9fhWihJq9zW+izcvXwmTidU8/vpf/aV4ZLV14lboO83n9wrLnjzL0IwmsXzn81noXuScb9d0 tOJdOfRzwwxvdCaWcrg0hd999PHHMb693UEOZV0q18CXQ1GD2E4q2Ft1pvL09HRXRG02PmoN3pjM wLeRsHSQ54WNjjfrHINhrFSZ0NjJxzjLaU6WDSkGjYw0XjJ6/Dyfp2cIJBImDtOgx1ZUnyZzs9FW X0tTdvwcUzCgqiJoZKLCBtQ8xbK+0O8TjrzWzkdAoF7G+j/6UNk/dxMdPI2oRxciGL6UsRHFpRkq 7QFuf9EQMYFVpR4rZYFSVcBEwx8TCizB5McGK6kSVUZyf3q/szBimwcKDTasfBdGsaDYl2YaVYnI Khc64ZN2TRqqV6J2iW/xvpy4s8l0V2pid1ZPpGjtxM6o1HGvG0OkgZH2XW0UDi2J1yWzqMzFW1hV WZ/5+N61uJGbWSUeUS4sGbrVOuZIp3Q2qgWcr9jJkyXt6+P+hwcjGawbVCPuZ1FvAaJ3Y05L+cki Xp8TaqDT1aoMU5a9EOqdPnuejRsOD2MAHqdxuIqLizcCZSFnjm9u1SYevHN2jy74OlbteqzbzRj2 06tiUxxfX6c88oyQbKgGqE+fPIv5Zhmb1SxWlAqt8FwBZm91P8iEfPPiW4VunIMWYi/fvFZZyBy9 r9MncXFxLs4ghc5ff/WruL6+io8+fB7zTT0++eSj9NDgJWHckXduZPWBQV/VNFbNPzCYK/Hw1vrq Y9S66RWRvOC52BsXpaVSQ9iHfPtaO8IlMt3O7mEovLBd/aCxjnX89usXonsMh4MdBiq5Hio1BJxn Z2yuA137xF8nVQTgPplZfYCcESA5eBQeqjDFdSpKsElwHYzZ6PAgTo9P5BMgvYTBrG3r4tT1Ov04 OjyJw6Njeas0pOCcQBRZfgZEQF0p95NGnDZy8uybNc3NLDvaF3R7TnuDZ26an+YERXNL3CjDgpDd Njr1bXTZrSF5zSdxoi6scsWqMhCKTxsh7cdNSM8Gc0fVOCJ+0B9kiAA9QbnIJGJJZHRSJJCsFiaN 79mU4v1HWftUEsh8yNCwUKXYsPfYcqE7+1NV+2OC13Qhrsh09a3aHFEAzMQD72DwJ/eLmE+oj5tI /2qNlpAyY4voHhwIa/n++1dxP89C32dPz9QJJgt3h3rYV7c3CZoumlK87PaHcXx6Iu0gauVQFCXO 59rcsIM4vyyMhbluD5PfMwm84+bflvr8Voe+gVvV1YEhUKi9XqxjPqU/YC/aLeDORmzgS9WacXBw JC0phbjbZrz8/iL6o1Afv02tE+3OQVyPF7GmF+BmFYdnH8YpnYAPDmMkxci26g8vr2+i3ulHk+wV ADCyO826ulbDs8HLuTo/j8NBN/rVeza1peSop1evY3p1HutaI07h3aAAqiwfLdRWcfPm+xh1e3H9 6oUSAvCw8ADPLy7j4OgkPvviJwohF5OJAHZE429ub+LmZix2/quXr1Sw+7//H3+T4ccWukMrNo1+ /OQvfxqX56/jv/z2ZRw/eR4HzZbmBLI5jMHB0WEMhlljx0wdDAdxfn4pw8h3WpvhbfyP/+bfaHNb VK2o8Dgx2Ie8n1KrpQt701Mg3MYbScnfhgrH2RQvz891viM1rU3gHiY+OHE2f7iLQY+s5izu1qto N9KbA86BV7ZpQdhEb2sUpx8/UaNZsr9ET6zdq8vzbFZah76AF0sD1FFM7rOTNQobA7Sn1qs4Gh3E i6jFqD+MDkatm4qzbMztZicW00Xcjyfx9PSpBB0364Y0/llfmR3Fm9+LR45GGKNKyZT1KTpm6rbj Nyy2+65B3kQdEXCYPrQLG5dQ69GtgfyJzGyzEb12M1o0k6h1orldRR12apX6xdqiHMDixzRgsTfw WKTaWfUS40oqvsWOCYyRqjrhpNtKVmYrPaMyC+Dv78O+3l3qY9+uAOErmsWu88Zq/jATUV0r6gIZ CppWkO8hW0KszY6TD5FJh/LhLO42KWDnXdQeEIdroPzgLXUCXkUtHa3bNXj0Td95nA9pCj4cQjiu dybLeBQTD8b9bLHPYkE7UCZwDibQFkFzej+NemsV3R5gcHq9WXOmlrdq27VtzKOGRlGvG83OIBor QpeG2medShWSsqyE25Q8mNJ5uSZDpY2AsVIrMNqPtVQyA2jNch1fncfN5TgGnaa8MPJFeAZsaWhn 4b0xDzgTmFe9jZJqS5rwB6N+3I7vY3I/jsUGHbKmxqbf7cmz+e677+WdPHvyVLjK5fpak/3ZBx/F 848+ieOnT7V4oecwVpfnb+KXX38jfhj1hP/L//q/xUfPn8RPfvJ5PHv2PBpNEhNzlSkJiK414je/ fRF/93d/F69fv5HuFwqqF1fjmCz+bfzVv/wLdS9qqcX6MI5HBwL/4Y+RZdw3gci5jNQzIS8UEsKl 2d295H0cQnqzMi8PA2aaUF2he9VlvNOMzqIlsTxqKymP47O+//7bio2e4SWbBtlbRwHdbtIxSGjc 328UerPBKYpZpmEAL1w3miIxa65WTXindxOt8+ODo5S0QcVVDW3To2O+lKVjZUjnua31z1yqsuyP aQuPD6/fHf761vrfyf02Y9vM6i89sKqyOsmOe2mWxH9gr1blJmIFY1ErXZ92BZyJqJk9njOSq3J8 BfnzXWn8HzVY76A9lL8zqc7UA4OjFuhn8UkzvDICJZdFBkM4Sj5c0wScweBw6YAf6nhcVZhX3CRA Yr2m4s+4NsqeVJkAMP7A4R3FvCoDu2UWhYWVWtcTeW6+Rsh49+ObNGD9flzfTKOxbcXx6ZHOw46Z eAvV7m2FWZObcTR6w2h12wrwM7TMHe7oCCoAxngWm/Uqbq+vtCgH6n6TQnqak0UJ0OHJcdRrn6vt F97kYDiK46NDGaT78VUsZ0vVIrYa9BXM7jV4YWOKkdcZ3orLVs/+j9Q3mudjoJlNkGdrYicGkn0V hjcezs9++hMtWkIcXi/dpsNDES+Vabs6j999901cvHkZb87P46c/+0l88cVncXSUWI36MW6W0uv6 5a9+I+9NSgRV09krhAbr2/jrv/7XcTRkHiRPa7nsyhB5nDNEx743otlJHfjkKaZsCmKDvl/PVZOZ XYxs/HS93is/8P3DDz+U0J5UWSuj5FIfq364Lq8kx/r9ntPOIhpasIHh+bpY3ox5lGi18SMeUNTQ lkIAZRVJuQE7k7oD6N9RK/zYHhmD04a9T4VDndnI8rf4GZ7VfBmNThoclTSyoCxtgkibq9UB0ESX 35NHy8XlD9UikLbRSvK5fG832m8B8v+Y47HRKr+XtVNe/FYtMIhpkbbSkJR9CJ3BMBDpezS72YQ3 /80xNwuD+764utKAOxNZZnnK4s+y/vAxS92TujTEmmCVmic7IUXZvl9PPl13xeUB6K/Tmp33rjdx cHQQhyeLuJsuYttg5+6LodzuR1zejLUYGo3PdB14l4Qj1CAS3hH+oCtfb6W37evEehFyUMX/+U9u 45vf1uO7b34XV7/9RnysJjQONc+kCDpisUqQmxDv5upC3sGoKphFkK/R6mQXJlLkeHGLZdytb9WJ GsoAWNnV5UWcPXm6kwe+nyZ9xKU0v/zlL+WBffnF5/ISP/v0k3jZqsfN+Uttvi9fvlJiga+/+qu/ iIODfQbv+gognsVHT0UwKLKiQ3kpf/d3f69rOBmRnLiJb5ffxeHhgUI8i+gl7QFhQzh/mVWW0ma3 FfV2AuQGystsbxKZ+5o3bum1Wq12VArm0vOnWZ5jAyctsAp/4z1wvEoj4s3XwL/nqkUFzYr3nMfI 8/w89wy+K+O93kRnkMXXnmeGcPxZ7zNInsfvgnkeHzZWe4MFbweMikhuk2EecTk/rDbIktJkt6EY 1ItpoXq0TNs7wShyntD/xgMjlUfB1lYGQXql7xThKw3O73t4QB4fThGXxFAT4pRtaiRPxUWhNgKW uMAGl0aoZI37YZbs5jJ00+cxKYsymbIQtbzm0sg/vi9PpFLPO3dMoBs014exaqG6ibcbwjs2i8wK AriORoNod/u5gKvr5P3T5TxeXVzFutGOWgs6C1Iw2fwWn5nFS+0eYC6hJqEVIV0gnId3WZWKyPFm 0bBzA1IzsmBt/UH85Gd/ngTHGc1TMzt3enwoL4h6vyeDQ2V5WcwYIIqrm4C4lNGgCEJWtdOvtL1n MlgYt+PTJzJOeEuu6Tu/+C9SBlDNZtQVxrHgOHh2LLzvv/9etZReZLd393F4+GFFEp3GN9+9kg7Y cJQqpLzvzeVNLGD2b8n4pi4XpSoY2LWe0000vmwJhL549VLnPh6N4vLypXAl4IRmk+zzVgXvGK2U fcab3avBptebZSplet/F0IeHlEltdvQEPocNxbWGzCXGzN6msnqVNIw3L0cOnkNcDxndFRGUKh42 qiSQd0sRfvV7EkSirwwHeg+/R8TS2TyvX68HGyRnJR097PiG71mvjw9TG3ZZ8fSewB/qsQUw50MR RxOlPrEnNetU/c1WxD2yNIR9Zi7vvJnqQ7w4Rf1vmZOUdUq8Sh7OrosHn/l2FuwPNVbldx9K+1bl CWVszQ7l7rgfPMkdyulbc2sAsCW+PzrYndcP3IcpC9ZNStc7mcQlvYD3m8vj8NPG8TF2VXqJLg+x /lHpgSlVDIlysY51A7Z7elTIqux0lRg/MjHQDbo91eRN4PaAo0UtZvN1fHv+KvqjM/VBbKlVeTtu oTZsIrk8RyeZ0VGCBIVLqMoJrhMywaNqrXsReFri8AGopkyREiy1enz6xZ/FBx99pvkCqEu49etf /zqmi3UMaLeO2ulsGpM5IHOFhygzSyjSlpegOrfNha7bHjH3iB4TMtUYD40zmEp/EIM+zVfTS0Jz TG2pIDd22jE8PdFC+uabb5TdwsvDe6L4+n58G7/5+oWkadikP3j2XJnT+WwlQm2r0ZaWPVliDBHt 0cjgffbhp/Hzn/9UoaDInZWKqEtqzO+bLsyIrxIoVeOQ/SaYnokJxgDu3APHHKC9knrx68eT7KPo jWxXlFyRWcs1YNUFe2+mG/B6q5SWnrw5YJzTjHcp0d6nsKIqN3blfPt6zDJaMIO/DHX/kOOt0hwX CjO5AdQ0m0RXQNmgpcwY1AeWKaJcS4TTKowh5STgI+0LH3lPKXd7V3FrKKnQTdUy25byt3WpCOAq vMt9LMOmHzve55GZh1LKBLu4VBXvp092EhmO4/k9/CzzYTyIZb2fi10ZdKX5qyagg8Fe98i7CRPG zPhSfUGFx5LuqQy2krVV7C/5nmydRhZHzUgJ66o+g6hkKoRYLfRvvst77NABZ7aTv/EkdA0jHZXX 80Vm8aaz6I2OozsYqXvy4dlZTKbLuL65VaqaNvSEdbpO/IrlIq5x4SlWJTPFghlPo91b7uooSaZo Priovt6KTq8TvW2qDdzOVlFv1OLk+SfxPx8/iVff/i6OTun8/CYVDpgf64h1hZuAfZ2cnulv4woX khG/H0sV4uT4LMb3d9HpZZX/YrmSygMfLq4bc4AFu2syUtPrXr/8Th4XRgoNr8l0phb3FG7D7GcZ gJ1NZ6T7D6M3WMcGpny7m2KCq7UwPCoAoHD87d/+rWgCB/2eUvveyEjOcIDlNlsQkZmLaIklL82b i+eENyzDDFmnl2tqKtWN9Hw4eCbQKAxe8zo8WBc/W6LZG15JDyi9INdFOnwtVUl4P8bK8IihFc6F d8uG1CWpU8gxmTTtTcX35ZIw1926gPqHDn/enjiqhZIhgMS3aOPEw1NmrzJnTCKygGpSsBAoiotL DN5rZasiUqLE5WRAxEfhxldL6UgxQICV1JZp113Dq1mICKiJ8Q5G6x9qsB4bLYdu1pYq6+h4gJRD OFzwAPDlB+iaqzevXu92pzK9KtJbdW5lCitgdD8R9ulZdR2x6H7RBVq7W6G3VE4kXxOhkyvu8RLK DsNbDGwlaMfzJETSeav6HmRp8QTIRq1odEroBY9mWXUOnq9jdDKKxaYWSygQi5WM1YsX3yrk0jPo pBoBGw7APq2heuAYw6No9Xrx/ZvvorPJcDknKDOmqVpCiooRBsSICNxtdaPbSS9Xqg/DVB4ddDvx 8tV38Q//8A9xdXGerO1axNnZYZw9/0g0g9u7LEA2s1qb0V2Op5jl/SxnwdPEqIOLuc4tN54kJlLe Quup89evNDaX19dqO3YwHEoGB/5RbzCI52fPot5sxvXlZRwJF2vEpnalUHeJhlWrEadnT8SeZ0xe v3ojnOyv/sWfx3A0iO3CLekzSYPx0FG1hWOtUFg8nTzUviLZZYVNDq5b0tmNhp6LS3aYH2B3JDWo U3SzCb5crO3zWCXERtHzx2GhoQaXJrkOkfvi3LwOj9gaWNZc535fnV9Ep5sbsWstvUZ4HSGqkwE2 eIwh5wW8N+H6fUcZ0ejntGBVLdumpt3jbjwJKosIKkadZtxPpnFHY4EaC6xy9bfs2OBe8JkiWhJj 20ofh2JcZSp6bUlNpHAecQIF0/v4ud6sq9DVkaz1vu0Z7ED96ii9MIdUpZF7HFZ54dtAcH4eIEaA g4ng3cvxvx/S1cWFHjilFa7TknxMra7XuRPK/Wwu6RCkfRkAy8DyTEVJaJBlO9J2auqBAdb0kBIk 9a5kt9tZTL7cDMEGic9XoaontSZ8yt5c397odwJoqXVDu2iYMiEA64R6NZ4v40gKH4y83YrjowO1 8eLzf/6LXwirAezlXsBOwK8IQfFsxDliN1uu4mc/+5loDWlt0dOqQFQoD2SRiBmkfVWPlYof05jn GG6i0e7FKrZx9uyjaPdG8fVvfq3niQfH4vjo0y/i229exItvvxPVoNGYiwdlkiS7fH5eQ38npKQc B6lnxpnnpNB2NFIh9qhaUBgp8CzoBvDJZNiXq+gPD+LjTz8RURIxw8HoWFm8WqMV/eEozl+/kQb/ xx9+FBdXlzG+fiPC9aZSzsyOM4sYVrph6eFnOYqz5Zko2WMzMr7zeVXP2HxQRWEIxcz2oHFsRZex V+SsoL0jXsucxoPkPXhd/N7F1ryH5yavH0yqcjYms6nCa853+uRMmzr2AMPPa9QXsp/XQaZY5NaD w5hC6K0SBqbhOGNtAUNjyfb0ft8s4VsGTG8gKVjZFL7UbLNZU8EzbchRFKlvQegrfcjNQjWGkptY o1KIm5QqgMLVWZyasPwqO9jofYDxbvpcsZBEXCtoB6UmFN/t8fh3D2j6FbBdHo9xML/WZSrepaxd ZT0oDgPpZco3m64W7b+KRIJTwtbxkfGoOoI4a2YjCzZYVqO7Hu3m6krG0KVBvk4bLyaZMRun7x1u uoQopWb3rj6AaHKs6jE8PEJrQ30FaYaK9PEQdvLgOE779RjPwTBVw5D32U5mcXbk3ajA2HIxutfB aJf5xFuo6HlvH7si9Pw3P+qlUBSs2AFwi3dacfb6B0fxwSefR3d4qGzk0eEow65mK+bLtUB3ZWZV PpXYBvw5GYYpYfBe1wymu0uRIASDmVLQe3OLR/Khinf5m3Ar2mLdz7SBoVl1dprNWb/66jcaT4iy eHFPzp5pA9aia+0b6A767bi5uNgZCEq/bsc3SnbAOjeOqUxy3Q01tso4Not5nGF7Pm/jrk+ePN3N zbqSF1N5VhhhfmYTs6SR1UQMWXDNhkA8Dz33nOF2iZQ9NGcIDWE4NPQcdJMWjk8+/yxOTp/oGZUZ 6ZKa43P5Hp1Nt/fnNfd7GywtVgu6bdZiDdNYk0nSUqUhcywzhJ0mxmAZK1RCN4mJ7KWoctJvGqnp TMeajQT+UgIlJ2t6beqqU2VH6AQbVU8835A9HvM2HlvhkkBpXsdjr6qsuTNGsOuAU7mufrAO8cqH 7H+Dt7iUwsa09OQ82O664yLOkk4hQ1sYPBscroOFQWcZd23h/BhVPKSf//zn8p6GZ2dqVAmOZRVM QkwLrgngpi5RlVIJejMG8GTGgKn1jsK+egtQvRXroAtOXY0mev0DZQfxIBCK3WMK6SHiASbG0Yhu da+QN/XcNntv6S1DtTv27df8710tpHqYMNYVE7rVjuOzp9EfHQog73W5zmTcMx8xpiQ19t53lpPg dVA2hULEdlk1bgDrWy1FhMYQESre4n1uVio3efXtdzvSL2NzfHwqYzUaHchTw0CODo+z+85yro4v fYqAa6n2meU56GF14uzsRIx75mtqoBOq5zzDoO4kfVg39QqQpqM4QgKqdMh5m3DBHgi3QsQOf1ym B2XqgYxlLw2JjZQNk9cH1+qwzAbIc094E5sb8ENlfMvP4x70rKt6S8jPWpOVkqrwMpoRo/lfOQCl 1pbnvuGNEoS34Xwc8v2owWIiUVqT+x+7HzsfaU557+oAXIcLU2fnzhKc5WbJKs/BrmfJi76q7s+8 336PuugoeZsGy+FDNrR4f2uqXRrz0UIveVIPJn9BVrNREXeoqAL3oDqc40DB0gXC9lr8gIW1dPZt h/ygHdLymn7Vpskyr6SubVAfZzh8TSXH6tOPP5YX5V3Qk8UTgHDSYaIzR3tjji46Cz9dYwG58Kw2 VTi2XMV4Mo/OoBO94XF0D8Ee6jFbbWO6SOrKgJCs8lLLsEEEySpMtxcLh05cPeHu+SwM4r7v2Il3 PLJlJh8LoF6nVA7hNptjs52VrcwV5iAYCZ7QbIpRyCw1YDdGHReY1wpDaeK35LigTsrhBAuE15ff fSNGPPcJUA6swaKEYkD4c3J2GrP7RVzdXEuY8ee/+HOB6/xMf0MwVzpQH500BY2cv8ajoS3ZSJ2A Tk+Pd5USrdGo8i72hF/6Nso7qwPq77O9/rJHbnDcG7YL8sckg5azit6QoHtZBWFjUG66pRyO14fn E2EgFSxuymraj2k67pLj+erQdFfjWEmYYzdKqoK/bHhtbPd0nH1D4T/0aFoznX54KloWDrFR63ZE GYbUBWknTDY7YHzG0hXnohL6y8pBsFYi+jR6MhyVMCDgsoiN3FwhcwrI6BKn1yUAACAASURBVJ23 NDhlWOjsnAfQYZVTr6UBe1/3ndLYmCwq41cVa5b4mF19h5PSjKrASInHFcoObmduvMm1YoQ6nmy6 nqKVksNBJsoHz57tpHNt5ESEFAcqgfRMbydo+5gSoSyPdr1VLNbI/aZcDaRQ+ERwoSCDUtyMZzXD fccI9PtxNOjH9fhao2fZEKsJ4DlY8jg/p/JalQFOTy4F8h/1ZHxrihH+VEbqkTeWdBZqD6ExVM+I Sc896AV4gIM4efJUJSjoWF2dv4r5/X2MhpllAl81/pc0mvQcDg6z/TyLGiOMV8j1f/755ztsSWFM rSVNs8vrqxgcjJSA4vnJ8Ddacf7mMsb3NIq9E1cNGsWTZ08UYXz73W/ju6+/VnOLzz78OD748Fnc T8YxqPXj5GBUFSnDw8JDZ9ND1TW1zCGfimFeZd9srFwi5sydKzNKek6ryF57o/WXs34Pz/lQwM+8 w/tpKnXQfdvRh/Gm0vjYEHotGnMF9xuOkLp5l1bbXhHCxqtciyVn6w8yWHsDkaGfcCdRDnLXXgJP qSwntbHoWiHsxmFXZYQghS6R2ZXBYmJbLdAYRqHYoELq1HPwBZeZsschXVlS4JsvW2o9DgXLc/iB MVjGf/w+zgemAR5g4p13Bdd22ePiEM+qltdiiQ8NfFU/aGNoMbiSaOp7fFhmkNdeku92woAVTwzg 2fpFlrGxseKz76a5mwJ2S/mBTacOIXAb0xWLeBuLWEa7top6qxvLTUMGq9noRKtbi8VF0lJ2LPUC J0yv1J5sbk6M89qbULWJ/BBsajxP3LxCbZ/5o3IuCc4m+TS9+wxnqU/lowHCec6oMaB2+/2gG9+/ +Drms6nqAml3L9xvkYu0j55fEE52o9vryXOCetNpNpWZ+tnPvhQYr01oAbdrWd1bsuKJGDKkTE+D DGW9Wdtz9GY5zihvQB4FkwUox1ghGzy5vdX7+GxHBBn2UHifyRgoI+1Wevi1xiY2rX1ZFueyF55z I2EDYXEHB0pkGQZhbgDVGNowSdNzietwVx5776X3b6PnJiqOJJygsrHzpuxEkedvt+sWXbX3cqxM qPY1lp6e5/4fZLD2xqHaK3c9A1PYbIJCwHYZ9PaCEWs1Btzp2DRlmBhsvLLVOiegYt4mWFUj20RV sxGOjc5cdbNR+r0CT3+INGpD4teVA2LPw78vrbwXXwlGmtRqsM+gpF1V72I2hCb+7cpgGhn/22Dd V0C4dyI3LjAgv/Maq3P62hXyCRtMz4OaRXuAhCG9TuITIofSExE9LiYnX+K7pcoixqbZpiOONZkW 8nW3lcb6/ZQuOdPo8V9jGI1mV3QIsE9a/kE7mM1upImkCgCz1+GsoZXVxINlQefzl3lyn0HJdKem /PuN1p7UK3hARfZ8Tw9bhrLqEp5jmB3FcwNE9ngm0T3UGj79/Is4QWKl24oXv/ut+Ga6DvCSStfe Hqxbz/OsGFsA8SdPT3fZVw42geOnxwL2n5xZlyqL1U3wJfMLl0rcr1m+93e/+50KsHk/AP6f/4s/ 03dEDLeq+ct26U5OmP+nxdvKzDlSLOXi32M5++y4wyxvoD0qM7q5CdojZ97YAHkeelOzxpaxJXtX /E6dnODsVaGaYRJDJ8a4ypCyhCwSoO8qpH9bJWV/lBQlz3+vDxuvP8hgSf/KhiGXeBL+ag3BtrTz Tr1kFklTi0wtMdVYtR6rGhqkcLdqsSQTwg7MogpKeupKWasUp0K6EjGTuEy16+7lgu2NANGrYEhy ECmnisfn15SM8/u73PHsEmPIyXCmvtS+7MVekR88hLtdHRMuqiRxtlrM/Ozd0ZrZFvzbYmTaeCc9 fd1fXIo9rgHspQdE6cJ6zqAn10ZxfuEmU9Kkf7Nw+Vmp2W10+1kdfz/d7n4WR6dVj+aW7sfLWK7r 0W11JROzF/JnMue9TaYLPb9WZPbnqNWI8WQdc4zhchX1ZlUETqkVDUXasLbTK0FipDnMUAX/N/lB rVhJS51rxPMgxZ8R/UaUhX98/SdHq1XPTQ6+puRQ2I0hjiK/u1GjCfAnOgvT9Xd4eBbPP13HtoFK 6VThXtSS/6W1UW/FhND2zYWeNQYHKZ3Xr19JBRMKA/cxGB3GwWobH338ueRxwLxodgFdY0ivwn5P 4T/eN3MWRYbtdhTffvtNXMCNu2moGuIXX34Uv/jyZ9KpouWaPPPaVuF44qS5yOdw2Ci0J5lliIMd vmK2exGX5Exn7EgamBu1uF1oftNa7ebmIrrtfRv7MtHjGkobQ3vnGFE3xUDAkEwv9Bh79sgjeT0i ysd7MfKck/cOhykj48/J0tGHjkJZwQHOaKjB0YuNuMnmf5DBEsYERerBr+vi62g5U1FP8Sns3Lq1 mNlB0o3etlsiIE7nLLxaNDpkkXpaoAC0kETbLGZaQ23n0diso4n3QYYEm9LqiHS6jtTTkvoAdVK4 2t2OPiNF8+qqX0RLB9xLmZFoxLKTcbXdaAxceku5oKmvs4AeBxgBE0Xt0yllaHdi2u3Jg1GjiF4W jvJQwZFYMDe3d6nz00vv44DmkMMDSfZikKm94hmB292M75XyRpgMD9Xyu+ltuc8aRqOOMocWBEaN a5lMCR9asdjOY7qaxGH/ALmqePXNnrw6m8xjsV2qFddshYRIZn4atba2guXiLnrDYYwOTuL15XVM pqto0xigNZQhW6/n0jVqdDLk6nXqMZvW9UyUCRazHc0utJs6sVpQzwdu0pBHpXq4qtIBEqUMWU6h dx6EqTsvHvY+3lSFaaqLMFwsNZSoRCDVjSfPhuyJvHHIlP1Dabatt+s4ej6Mg6efaaN98dvfStOM sFmgMd5FnTpJvMhZrL97KYHGs2cfxOnT5/HhRx/Hi29+F8taI46ePIvW4DgOjo6TFU+SZpF1m2xC ZGWpLwTXZV5O7gC95/J8uWMkbj774KOY30/i7Og4Gp1azNaEYGRYoaVQgEwLs3Vc3lxX3L9DNY0d vx4roUINSVYGpJEia+7kj3l70+m9PL/BIIuf+RnvRoRQNr9Jqt4iuCdjdJU0GZIIJh3Xl4sd54ov uGQ312PxqJgfloMuM32svdl8KS+cwI19dz1fppYXdYcqadpTfN7lWVleZ19T/MNd3X/UYO02yEIi 3RloiITbbUPGixT2XKqL22htScvmbkbKWWBpfSMvS+KfhYeCrLJCANg+AuGrtvdUWq/ZRedaSPKu 9K8sY/CNgX1h+NQtBVH7WoZuUHcwnv1e7gjJcgbXwmUlPMisi4pxq5BQhoMQZoWBTcE1DLa0mQAU K+/JnpXSrq1sBIkFtZYRhcQEQdnEtCWPlMEVBF01lFAmiGutPQQws49jEgDl+nN/pJYrbfnYZKjM efg+xxhhsBH8V+OAmSYOhpR6uXRD6zGdgK8Q3s5ji45ZE+4UkjlrSdxEfS21AzYOwGOJK5L1aiB9 XReek/LAUDV62pSWi9TlZ+fa860wMBnSYYB/LM/zGFcUBaOqnsBN2ztoe1XY8hBnC0OZ077KRm9j y4a03cQnX/5cYHxqoiclRnjLlHBoonrBw4Oh8B7qIpPviijfKEbHZ/GcGkcMeHUhrWZbRgllVEi3 ErZUA5ZsajrYZthPr8NJq63mF4tZJ26vb3blJg5vLbhYcgn3vCPwpfvoUBnySIJ5pylXhbuA2860 LZTRY9NLjJi2ZmXdoDOOZe2qSniq97qwOisisvaQLjfZsduaXNmNivX2uOfof+ujWXZQ3Tfh2hst BXEYqyXGIyvVqVBn98OdxKsSBkH2TwQgWqBXMhlqNtCJBmqk1d8SwM+25lIqlbU2JlXVKFZgtDEd PpHxk+EQHpaSOHq4DiOdOax4LFLIgS08SdwBHKhduePmZGmgV2uR9wzku3ZOKWT6zvUzI+IJYcKb si6L9ELA82D3cxBClQJsuVOl0VRubZddxYgqZxpbpZYrLSG8zSVcuE6sFyGPCtVQ7p1rmt7P9Czw BAXOj7OVE94E2S6RsWp05N1q59xgwKTJwm5dSYtosuYCkRorbv8K8uSNxoNQgLG/B4Cl2NedwAWW 88wx0FlwXe6c7zq8i5b4ZJkk+bGQ0iTTvdHbK3FjVBOkHqmgOz1X5k4SSWfzqQwjpTjcN11yANzf nF+qAw/0gNQqy4SKCJuLud7npAflZHgRmYTpKDzlM+6XbGqJD/EzGcGSbOmGqPzOhcWuH3VSRnNi vW8t53kso1ZtbM6G76k960ry2FpaVRfvih3PZ3lztvQRh6kLLlVSlrxq7eavMlP+YIz+iI4EgoT1 vMeSIuS3XceC7jpi6G5iWyFfzXorFkvA9mpSqaX9RiEfr11vl9FaA6JmpT9tqvUAxK7P+Bxxtxq6 SNQXio+TVh0jiafkbJ3aYAvq4aGaU1WPRTWg+nyBupndoYjYbjXvNynOnCljYXh7dAR2WrfWzInr JpnGykpsYY+XJbmPkAMlhPyszEqWXDB7T7sOZnga60rMbJOZWeSM1boMr2qWoLsytRsWZUf3w3Np 1MCUtnF9SRhEI4iFyiWUwKg1otPNzrlk15j0nGO9Xshb3tRmqiVsYKRbHSkXrFfZHCNxiqy9xDNQ phGDVRE18SBzQlfgqjaQH8evfsjt/33eX76m9NT0N4zqBG5aeno5JoTXqX7Jz3/xF38lxQPCe7fB wjOjISuH6habSRNAnZPavMn9XWyrJrEu6xKzvY5OfG5s8oRiu6vvpHzFzVZddOwaQnPsmC/2cjAY MpLq6bgHtQ3Co0JqMikgvlvbT6fZVs5zzFQFfpYWu9rOp3f11vMqjJBwr2YazZIGUWbo/9iMFQfa /OmePzp2rb7keqeAO3LKKZhaFxueqnYATsB2NbasRbRltJipPPCVjBeLkGySOvJohwaCx60Xyb1a 0NgOdK4pwE7Qnr5yeBgsGoTreQMh5GaTnWblLVRKpiq5lfeUIKd122lhXlIecOUJBVEDsNEqMznQ AczvIoxQrSOeCM0JKu5VKQciUh9E2sidrl7fCxuWA56cmL1SqzxCYu3q4aPACeMakTwKmg96Q2E5 aF2xMFD4BORWEwuGY7WV2iOFuoSq600mS/B0AdhJ8/P39ZbyGWSB1rFYT2J1N03QeXgQh0cjyagw 0af3iM1l23G1OacmAQ+12AwygwTAu9fz+rHjsWdVHv8cO3gLnFMibskUpH6ScNflL2SqMUiw6GHz IwZI4fbJ4VGlu8WmBFMcyZxMFN2yOa6y5g1tdRsLUTzmKb8kuZrah4WiaG5ANhxgYiYTc5gvWJIw ZUBWFS2lIji3kIdmc5mnpwU5uNFIjz5ir9VWVnngKXJe0x/MfGccXZRcUnx25TuVquzjMfJa+X3H +L/mkbZFbPe3qypYS3pMtWbW/1F2A34V9Zht69HaNGJOMSvKk1htwHAVQqerm9EwQHnFs1LmDvAe cB0mvZnrCTa328ipZHcaXke7cowX2FILT4zMZT0xKoiuGDKndM1LYlKpvKdiPzsb6ZTsYvaQa4U0 sJtPchjotCrA9y9f67W7PnW9BGeZGGA+x1VrJGMQznR64B+71iWeJcnoVZW1xJsh6zm5iwVaS8+a IhV2+ql5LoxmjteXlfocNK7cNigwRkVjow4l8zWZqE40O62YTZeiO+AAb/DMFPqkJ5k6Z1vhfhzZ 1uqg6iKcoQijd39PwiHJiprImuyJIzoj9Pse5TMof/593vOukDJ/YAtgTkE6NQQGZtqIRotQma5E hL1tSevQ5ktdag7p9tKO5SqxJI/hoeSRa3EHu302UyG1PPSqKJlOMPJQWr3otrbx+uI8GrU9ZuSx xliYl2RA35wkY03ia9Gppqod3M2LyoBZpC/DtWpNFkxyzoPhLGVa/FxsLNl0DYN4vEzd4XeExC5Q /rHw/o/h+NFCHsyJjBZhmDypRizk1TRUorFmYohECEdiK5BdPcnUHmOtVLQfomoNq/byqATgXam0 Rx1s2tEGP5rcxfn5tZQ0+x2KTlGCRPMJnlBHLGQ8j3XVVAKHzWUFImsCVrPL4hVVhoBDpqtg25ap WGcyRHuoZ5iXPezGO2+LiSEFR2gcVdpY9X9wX6q26zmx9thVuaBzwe3Lj3JiJu4GtgZ2xQahEhCk SapEBeEJWAlCiWpqS/PJquIdDwme1XiyCAkltzryLCGIdgfDmG3uFAKqAyQ7qsDWXAgA1dcqj9pE v9ONg9GRMo5dAHeybHN6782kDMtmQfmK5JAl1SG2Zwr2/cj8eZdxemh8flgid//aPZ9r/1WLCSoi u7HcRwv+nSS92RQAp+V5zpOpX0OdYB7nr853ngpYqomUeLoc0CJY+Mt56uAjWwPu1yCU3+Tcubtr 6HWmzdigmJaAUTC2ZN2wncw2ktPKVJFcWsV2sS+7AquyGKQzzEsijC1ChTLJyjS6bIfzWanB4L2z 567RNdfKvCyux5wzjj+UF/Vf+3i7CcWjlqTbivCpLoNIyKgdGA81u2yQKZSULYPYwECtoqG+hhkK wjCGVErJTkaWtVjR2Vdt1sk4kbWDkAkATN3WOF789oUacFIegrZRZoASz4IuID1yqSJUad/ZvvC0 10n3V/rzjUb84hc/zxi9KrA2OC+8ihKVSl53x+itAFbOZ0Y0A+odCE5SSUTVLsjkaTgdvK9bLFnu e2Ldnumrn7cQPXnmS4XJTMglHWvqEJNWcXlxVb2W7F0qZ9zdZ0kFuy6aV/XpLLpkeDrbWI4n4ijR XGI6T5VMoDDCvW53rwgpr3IBcz/i6bOzncYSDwXMpD4nMXEvpjgbBSUv/FnMkTLk/T0jutLLfGiw /nEhZf7boQvPvAKLEddD002bgsS/q5bpzTg8PNImxj1xUAKF/HK7k4vV3ZZ5RmfPn8s74TypQHu9 S9SkNlpuRswfDms++ZrdYNceuz0uEzRdF2p2+q7MSp7WHmjP3yVmxmGs1WU3GEnwMzA6Gyzjri7j soou1+XN2OVjZYVJ6bmWda9/Uh6W50v2aU5CKbVeeV+0CIP4t9BuRcjYhBcFC5cwsgrHyPpFxaXC WBHmCVtowxuayQg0GptYE6JsmDj0W1sIEL+sFqczJnQm1idXDVH7MiYdhWdXF5cxHOQgcLCzwaEh /vSAIXkM+RUtJLnMR8fqPLLLZjWzrTw4hF5/eCjPyvVb9qDK2ihJdLSTu5Xty/JeOY8mN/wo7Xjg FFmxvp2uxesB+GZZDYZd6UCh940G1/X1hXbNm6obytHxoa4Xud6j45GubTy+jfPxLIbHT+L7Vxfx 6vWbODl7Ln2i1xffRb3dU1dmGM2ERDJyUROu9+r1S3VIJkTEO7g6v0jcBSyut4qr60sh6zbei3lK u4BppkifjfEPW5xy0pdlUiUxspQeyUQGnxkaMzO6S2/VuAwf/+13L8VP4j2Z4MgkizrtVOUkvJ+F jQbW3/3nv92pYnAQ/oFcqTzlbpxaUCfHyXnDmGyyKzNEUPBB6Cq6h+UiNvQ1mN/HX/7iS50PDEnt rxoNzT2MFD/DA2TuMJeMde1A+eq5uhh4LyWeJT8G/jnf5dX5LmHE3OB+0HTH8FpPqzR+DjVdlaGu QxXHag97wJnM2sUSbP9jM1QPDFZyYh7+4V1gvIF4Hfob4UYCYJJXVnPUFOuvo2K6rcdkkROImtK1 ahWTCiE6xCakr7RuE6JM5NHM7u9Sl+j5B9HvdaJTYSe7jJs9lZ3BSqDYEq7k/K2JZBfdA2cRNIeQ lhdxpkQp4EqCmEmuPnPHx/I+AHdzQeTCeexB6ZE8yK48lKHZlxftQ1Klt1twygjx4MTkveCxUpVP I1dIpXwxkTkdVIibm6s0oJN5NLpHIqvOwLdGRyp2ljxcpy/BOTTLVchbXQ/fCUEIA1MU8GiHa2DE Mcg8l9v7u1xUi7lAa4ijGm+xVZjc9d/bwyqfEbyhWm2P9Xg8TBnhmFYdbyxOV+oq2bDluRL8zkRI YojSXKvqVvFUMPLcY56vpZpE7o8FD0v87PikauqQxcUqBq5KezBUaiJcZYXVlGSzjeHwWJn116/H 8dHxYCcv5OvyeXb8wEcqst58bZD9HHxvWfOXuCGfq645i6RamJLANcIxs8Aj5y0liF3s7CSRn6EN U+lZ/SkdTUHj79kkd8bpHceuZamq+DODIQIpy6GGJ0UJBwaMinjIfnhmrVhushRjWUmUzMa3UrPE 3rn32pMnJ3EwGGohd5m0NgISwqsMgLhBW3koDB6sY8nI3mW7b+UyK36NMAlwik5n10GH7AwL1m68 fw9x1LsPIDt8HWVZKtDeBsu7WBkePTZYnoRgXCW2IYMHGRHvZUUB7lpYBkxk8dlYpHofTOO5PCQw JxYnr2PHhsqwELGzFpc3d7Hc1uP45DQ6vWHczZbR7TeiP0rFgtLV92RVvVw369p+9/ULZdZYGJ98 +qm0yTGgo6PjuLm9Fq5FYwdRNqQYupU8Cg1GyET+0PF2aLzvNOTnZ+Y/3/N12bVblQpVOMR7Ep+p tEH0uqboH7xXqtCS9s55mURLFF2Tkwf9g7cyT64vL+SZMP6/+tU/SL+fayzbwzOnCPe++upXeu54 ODbsGHPmyvevXsWnZ1/swjcbBjHuK4zIIZ+9QmfsDKoP+9xTPisbnCR+phGEZ4VxXKLrP8cwZbkX 2l7X11eivPCZViCxCkjZQ8DyNG5bViaD/tSOXUj4QKvIv3sHpvX48ARUMzAR3WuxlO5VQwW/1K5t rLG1qanWEIrQ0qngeZVhIew5OYl2LeJo2BOneTqfKpTceEeoGrHKKFYGywPc7OQOQ2iYeFZmX9w5 1/wYQjJ7UB44/12LuAIhmby48JNqt4cxnx5c7kwGLh8rHOx3rocL1Tuus0F4UWI7z1MtAZpIs80E W4la0QYk7/Tj9pbyC3AU1DHPolWnjx8JBfBEMJeZsoP9wWEMDg5iSUF6M6JJiNqqlB2qXpEsWD27 ZQowcn1ffPFF0j9ODuPrr7/WPbmrkHhNyLKolhfDTEhYIduk3ivPGmWF98+PfQY1uWzl3/LZUy7F s3G4Y1Il41UWCJfic7ngIuaLKqSqRI4k/xxkTGcy8s+f01K9Fk36CWw3cT2+ie9ffismPK3rmVCW 5jbRkg3BHjjhOdfP5mUFz6wIWKeGFpta0Slmt7Cq7LW9HxuUUifNnDattcp4p4cFpy+9TcbBxvrq 6mrnlXmjxMBK76uKKPgbr+OeENgzzaHMPBpg/5M0WG8JRBZHKiu8JXmkw7eK90D2UCUPSnuDd5Gd yffiUudkRaiNL7jymeHhs49OTwT8AuR3RiOKSaIOl6sWmiCsCvIo6WFVqhLaRa2RHap/Y6Dkxo+z LRETRODy/ThDPysvNBsKh5jgVnD0hGPwwXxszDy4+XeHgXtFR+lU7ybf251/dgarkFlOZUyInPk+ khEwqFHUDBYZNZns0kh3bFsRtW7UG+BglOQ0FPrdjmfRad/HzWQey3YtOoNDdZ6BDDqdrpSyxVhh 2BJPoyyKrYSdOtPd2m0nUxkpfv7Zz7+snsc0Q5/6NgbDnrhKKgNRMJnpYHnSYuenR/xDh8Hhx6oZ +fxy4YnMWSVNHMo4xPdid2jI4SYId3fj2CxTFQP2fpZEVR4lxNz5Iu7vxgqhCe2hzPzu66/i/Px1 nJ2cqrUYZS5ZinWfJTfyzBbyqJ49exoXl0mdOT070wYmz6vbj+FoGvNhV/inGyw85i9h3Lg3zsU9 GAR38bC5VJbwyeeTpTXaXFsZnmZxM/M1C6hLhVF7buZ/WULGTVNcqmODWjad+MfU8v23Pt4728pN 0/9+lxfGbs0L2GW3q1qsKZmh9Tbf8a3Uau1RK3mYyCIf5s9ygVsNhTktvK4pxMVt9MWToaV51t5l v7ssylRqmnMuEyNjgNn5MqO4b0NmzWqz1zvNvQSMsy2W0iBFTDGoyxikuDjYCwRq8dF5ptoJtftX mIRxg70k8F53S0a9kL/R+5eUzOBNdBMQFwYxiZnkp0lUMIEpBKfSfxONZi9mU0iD/L2hQunliozr Ok4OjlRCRM87QklpOWFgqkxsjhd0kGXcIZl78SbGV5e6hyfPn0XjPktLGAe10xqP4+LqPL799kX8 9//qX4vKArmy0+6rBIaMaJYC/viE90JmwfkZlNpmeJeA1TwrwH8OLzw1v6jS8MZ3jFfKGNAzD2b/ bhFm5nRFRngx1zMmpLsf30Q9PleISFceCpzxoLlfvCRzmMxEZx7RJfqrr76Kjz/5TF4U12vwXM0Y 6Kg0y4YfLjD2vLKXbWnkkgNl8UYTiaUaWxw2YpSUgVu55Twb5rzyNktNNH7m+vhZ0s2rlbxCRQcV lcLvc3bQUMgfqkX1x3A0H2DohXGSsXl07H5TTlRraWFIpAaTlapautaXqjScqPDWgFZtqMBN6CkH twiZEzzkrJWqRPrIlJDVIJDhj1XxrIqDJffCDpI0A3tKDIZVJtn9lNjGCM7myhaWcst2o9kBmYR8 R6/IO6CzJTI+VVjFf870qENJ0V4pz7vHBzyhKD7O0HHPJUquGAoNi+isCYmYzEzCtlQ2zQObLyIW y4jB8DjpDzCbj56oRrM1bMbdJipl0LWygzX0q+otGSppos95/qnmSX0hNXYWMrQOPT/TYotdmTIW Mm7HcawF+vLb70SWxZC3mt30blWlT+X8201A3nXk/ea923vlM2Hv49ngbbJ4pjOSB7k5IVSnJryb ZYyvs3uPVDSajaQXrKjX66ohBdSXxLFYnHk/0GLGN5nqJzPMHHxzeSVt/NGgF0cHQ82b//gf/5OM wvHRqRY5z9LhKYdDQTcIcTIAA05CIz2Y5PGVSRbrUzlxwOEC5h3vS7hdJgeMNQG287eb233ziIQw 0pPiSEOTISsCfyaCutzHbHg7CM6Ump5j+e0/SdD9fX/YEfCqbOEDAL4omDa7PLGuPZgq3Kma2ewk ynogZiONK4ifSJisYtCBEtCQasBiNo71Yh6tqKn5JkYMQ6PzVKoEu0xTvwAAIABJREFUhJOS0a0+ h0leFnaqR9zrl/r5k08+2nFg7qaT1NliMq7TwPGzlCMHfUnENCvcC9yKUhZS+MmutzIo9wRGspai hDM+eCC5q2bomBShfWbIBkqlvJWbKr3VWi2ur8fR62JIwWhYuHh6ycKmVRUeTavTicPj0wRU1zVJ y8gYdnsCwevtvtQa6D847I6EI1Ks3m3TAqyemS7tBhBAKd4eqKAao/DRh5/o6/rmUuHIv/9/vkrA fTRSU1DulnEgCdIXZaSZYb3CcRjm72o84XlSKMJSgsI8QPBxvYr72xul42fzO+FoGAqyxDwnPC3J H9/fx/XNTbx881rz7NNPPleSYIOES70VZ6eEdfNKuTW9XnAragJvrq8UCp4cHcTx4WHMJrcKB7kv 5gkepTJ/49vogNNJPWGaaqytTnzwyYcS9SPJoZZa6400smrTmeSaM7Gzlle+mafhMcZlOWM2HJq2 7jEjG/d9DwIiC/hiNigcIoLe3eh+HAJa0ntWGSI8cz6PTeXVq5ciH589fSKCKfQYXo+nZZzXBFYT Sz0nSZ78KZktoKIHx37uVQoKlV+w9w+qo8KSRGtIvblCADDBcWVtFAKtYlVjcDrRkfgbNElIo6sY tHDzlrwl+xu2U5VyvV3EDIUIiBAqwE5viiPdWQOP12IlH1Selch/s/s4PXkSV9cXu90G5KzVQTp4 rUlKqElWji90t16/uYgvf/pTtW8/v7yJ/+4Xfy4SKRMRbSSMMnwvzg0GwnlJl9+O+Rv4CouTsAKc KhMB4vuIVGshfqs14hHYS7uPTr9TaY414vjgOL79/mX84he/iG+//w8xoA17vxOr2irWzW1gZm/H tyKGUtdW6x/Gq9cJkHf7h2r31QbXIIM3ISYEI6E0IwmWJ6fP4uj4iSoJwKteYiSWC2Vq4WJ9/OEH 8fzZ0/i//t3/KcPx5SefyMBvFnRPbkezSzKFqoeqs7MA+JQ2TmerwqwkELGMbg9e26LK+PZQjIx7 PFg8pE4zPvvkp3F8kPykUzhynbbUM26usjQGdYpnZ8+SM4TE85KMGKFXQ0XiTNhkkHej225FfbuK 7178OnoUgDfQ1KrHfHKrxMXhwUh6WMI3a424Pn8TJ6NBrGeTePG7r+Po5Gl8+ed/GWfPPoz5ehs3 yDMD4jd70iCjNEMF/vVNtGubGJ4eqhrjfkr4N40rCfIlUE44enJ0qCwgFQJ08OE1m9VGYD/jIaqK II513N6M4+b6Mjs1E8pV6iI0dgU871OF0M7wkOeLMf9P/+E/xhc/+UzwAX0cBSMQYhKhLJdxeX4u jSzEBTt01wELrDpApecGiyflm99b+lQu+XcQf//oiKM2YO/aRKX2Unlau72j4mfZKUJWGVU27Sik qNXRYim+FEBwQ2EaqefqA6qehWu1DasoA9qZMITuv0NamFKFhbw1JpEmEuqV620h35L4VsqopPGh 5EQMYQaRWkKoDOyAjXpcXF1LrkX8I5II0327d1xyA+1phDMkTA4OoPA+PCrVGvQ0qixXScqTBPBq HV08yU5LrHMDyyIdVqJsTz94Llmfq5vLOL++icUc2Ziq+3GdLtsd1XpuCc/W6JKp1dEOyMX7EPdK O7pVNRoq32lTKE2aW0oaLQnW9Xstdes+OzqMw0E/Ls7fqI17rdWOo/UmhjQrIfOL6gN0lmrg9bFu KlHRs6QFNYFOUFOLKKgltzfZQh0vjoU46HXl3dzdpvQL4nLCqcBGI+LDjz+psJdM0ZNB1YLBUFGw LNxpFpMxgnv3cXd7GZfnF1q8b16+jOn9bXzwwTMVe/Oc78d3wswogl7Npkq+DIej2DZa0RkeJGEV CkSrG71BIxbzvJe2VCCQL6JOdhmddj36yBUXtaoee4+/50tumlmvWoLkhIKTSbYDcxMQDBFwRulZ WVByPp/LazMeplrI2Ty6LRRF+fdUniMG83n/QyUa0KDXZllhmaWSQ3b443m+XYj+mGP4x3L8YU3B 3nG8LxrQ5LW1ZiPEx1nBzbJ6A+qKGIPEBfaWcY/9yABopybvmFpM6c4mAAsr3Cni8j0lYc+Dw+Ln ZwBSYRbHx5pM80r7Gw+HiTyfLdWbLhUfKn30R8XLdqd537PnZw+yWGXZjV1vGyxParvovDbZxm0x ydN9T72kizfn2XduMIg3F+nR4eKvlrW4uExw9fjpYSy2rdg29nI3xkX211u1VxN3zS3MmgL5IaMQ UqGKkZjSfXTbR/Hy/KWAbKXwJWR3F81uTw1ODyujhNAE55ahqrK11D+ma50etmr7EHxsViVBjBWa 7Vpg3RgN+tJMI5y9Gd9qcVlNFtKrQphKphc+nBaWhOVsJGqawBBR28pkrmOzGmYBd20b40F/12AE j4rFjigh13B0chbDJ2dxf32pgnICvGjsgWiF8EtkjPF0CKkRIAEvnUd9u1YpFFhYZuuSDGvypjzM RraTM7PfySDY6zwVg+HSiCtkhcu54wysm/1OK1FJzpvAfycWM3hXGMTrXZKJkiIMnXFWzcFFqpNY i8sCgJ7Tfyp41j/ZYD3maz24bUpxaIOtQmSTCJkvTfGsKJaWR1WUeEhyt0iH7+gLFTVgp7pA1q9q 3EAWzmlwZ0S8aL2QGSQXLDu1a+AZZjVEvcWCbEwWQTs9vBdNSx7X/eReYUlqvFdaSe+pci/JmrtS kKLvHHK/0v2ueDb395dSAQCMZpc9OBzF9eW5ngmGq39wGDNq/BZInHSF59Ccs8yIlpPQn/2un02C VIfpbj8uXr3cAcUscrrOjCf3UnAQkCvmeNIk6tARstGXPAyhl+q6lAZaRNhqrE1d8HvBfGjEKW/h fhIL8MXb23h9/kafD37n8RLxsbonn0NJlgoLYg7d3twoSXA4wiilV49wId2YjRnhzcFNevPmIk7P 6roGlVwN+7ERM7yptnbgEsKS2i2FhEuB5i3puUEgo5lHDXnhZi167UZ02miT5UZT9rX0YcE+K6E6 c1hqog/6WVfoXpRcV9mshNeAU7lUrF7VD2LMub9f//LNjq/GHBoRhmKgN1nP6GSRx9xNKYhYZFBF /H44b+1d/TF6Wf90D6so2SnB+V3WkYmLJrikgzPO3iIop24pqecNDuKHJglcMZbVw3gn0ZoKo84M LqVppcr1qmO1i0OdEbFxc1eQkvFdspLZXa+ukLfNCZPEULygeZZgiHaR56XVOelmlz/glfmcZXzv HdMh6WNm8a6NmJIQNTXzHPQG8Xq5iu6gHW9evdLfmbzQC0gMiFn95tdRq0GwfR7dbqpYSGpHvR2r 5/eoC/YuMVDQKrzrz+6RWsnGmC6exQux4eO1ALt36IStNsnfur2JVi8Z+XrOUh9dKfRUZYPGY1V5 XC0ZJzw7Fb/Xayq1ImO8mVN/OlPWbjqlzhOjC1GVDtRwiiiNmWWjBN0X+u/7wnM/y9QkSwJvKick jtnvnySxV3JFyIJkfZ/Ltc4vXsflecTt1bWkpqHLIEdjmkEXr7DelHcF/raaTWK7mkZP6hbt6Lbx UKts3Cr5aFmqlJ6sBRoJBa2KwL9vbtKTzSQO152ZP/PNygyePSJ3ABqNRjuqR26g2QvT88nNQzIr XTUxrcJQQxJszt5w5ZEDKr7jeLzR/X/CYNlYxTu+y3CpfwAc+MxSsdOpmp6MEXLI25WyJMYBHj8c x9flA3QJTVmxTnhuUTMmp8NAKzO4FKJsU2/yHKl+vy4Jpns2eslgxoBJoniWsreZIu6/UxWzZNCX 91VyZ1LFkhT9feIV9AlU5jE1qJ48OYvDIW2itvH1ty/i6voueqNDtUvHG5gtxtHsZPlGveiBWMrZ mGFeXpdf4wr+06ORxuV+No3Y0Jp+HQejbE9FGQv99Vhst+P7uL6+VAaNtliAuHxmBzoBmBkM9Aao GBBAhn4QYqG4kOUkZAOfokheiGSzGaPDoxi2m9rMmCyMA9UOEs67S68BTCY3mLxHd4jxvaSEMaL6 UGQmcXc/VUYvawob8Ztf/zqOT47kVfH+o+MTeZBo2EMyvr+bxMHhqTTeMcLKEldk4z5t5mcA5ZPY LmfR3C6i02vFsN+Jbot2bBXps9gM7L2bC7g/ci6Yw2dGv2EL86KYC8ah8JQ43IX56Ohop8aQ62Au HhlziA1HEMNBzrdSDULUiorftVzuKz94pgeHyagv5+//L0JCH29lHZVByu6/AsTl2qP3ZEqEeu1U D4qCnirDaNe06kyNBaQ8BoVMuvDOF1XFPxkYNNULRrXLOGyg3LnZvBiDmLx2fg8mkIQ/dbit5FOU 2dl4R9/L0piHQ6gk7GrXEWePQdhA7cim1QIrC071c6UowPVfXp7nLjy9l4IFC3HHnt4kB+npk+fR 7h3Fm8vbmK8WcdA/SLJi1XGG3dSephthCIAvOoxYW6kmyevk74CbsXtfvPleVQO6V7yhelOGjHMl PwkQeiqP2RvGsEfoxSbREyeNAzoGOFVrnXhQPusszaKONDsfN0UChIaA90NpljAdkLVGS6/ZklOp vFSMKp6UiaR+vpBAyaTRO5CFzgBKffP6Ks5fv4xXb87F22t3utFqd4RdKhNH6NtCIPIqBodH+ezh 8iGfRcUBc2pZk6JGq76NDlnidj2G3XYMuk01FIbYCyVivrEXmfMjNwvgiJyLfJaFEyGDZuYYxZK9 HIyNmfGuLCNLw+Qa226FlbplFs8Fjyvn2VVielWSCO/b6yHnHoaUjTxhgGw0sfmT8q7+2QzWDx0w 4al5U7+IDR13EnDvtOrRA4Ck9XtRU/W+h+aHa86VK9rJDG7ohVUtDLu/birALpVa2HstIw9q9vZL LSOL85N5MknRnkgZ9pk5ryaT7Z48hR3X6FE62N5MWbJThohqQFr9fHV1GZ9+eiiJHE9SdvrX56+k MEBnlxffvYn7y7s4PvskjvrHcT/JjCfsdms5lcoHLgcpn6Pvo5zMTP5nz57IgzqkDdXdOOrrTGwk NgJmMlC5DzwuwPXZdCIjsRr2Rexd9EgkJHcNffvWOnv9Zec10Hn6KrKrwwUjbIm4m8+i325Fr9Xf MdklUw3Tuyofoluzx9S4o8dWC7neqLTMs+gdKkGO7zpen1/G8w8/poFiXF5e63d4KcbI5OWCQyFb NJnoOwXPUG9Wy0mM76Yxn9zFoNcS1tRrdaJHI49Wjb7CsaI913ZvvC2axwbAYUInZFwSOmoO0drj jRyE3Ga/ezzKRilSClGX5ZRzdujrcby5T0oLnpZhiGTeM6bPZKzlLQ9TWdSkVqAQlb79wPHH6G39 kw1WqTDirJF+XwGykBahIjRVc5j1bCIssMBWTFg4O5WLj+HCu0+B9wqDMT5UNW1AazuhRBlATwpl 0KqwzuqL3oUMhHrg8SaYsOPbxDtGw8OkCdCFpVMToTLvZ60dkQnA+YajfpbTIJZXte8qd7x8TwKw 9rrKAmkvlF1pz3KuRc8XAPsvf/n3ZMzjyy8+l9HodBqaiMP+IF5epoDc4cmHStFPyXZJRZUwOXdT MnuU3uyE5aqibYW/lRGnllDhTq8Xlxdv4uWr7+Oj58+krcT7APmfPn8mDpA7YrtcBEzp4Cg1whjH y4tpjNdImLSER7158ypaqJceEda1NA4HB8fyrtPY81xpApp4gZQG6FKzXSrEPDpJaeH5rpYviY/I 3sDQz2LjIxk1DECJBbncRARONa9dx//w1/9TalQNenFwkBrrkCp5Dxk2J1jOoTnU03gsZnexnN6q YBrDdDTqxvGoH8ejQXSa2bcAoJ55qqbCUESqOZZqCxm+5XgnFMHfmXcqt5knP8/z0JIx/Mw8syQM 18W1u5yGextVTUldysS/jw5Gu5rLzILTTCQpDzwf2sEhNa7WbVWDFDw/y85YROB9xsn0Cc9f8RKr kh89r0oOxyVDZRb8cRLin8Mo/pMMlswIHet3OFMaLf1oAF6qAIR1G+m+Kz8BA1p/T8YhfebKi0/w cn9OewHWwfZuy+9TpH+vHeQQ0MWl3sn8N4OauzpD8DXS/AUuUlIXnEnbAZv1fRuvXSOBd6hplud4 Fz9HYmuVWkHq0M9iOrmPZp3SnBTNI8TD0OBByHjg3TTBOZDqbSgbhlEjY4i3aVE4Lxg3NrAH4Otz 6MHX05P0OJBBhheFdrmulXCnAnLtJXY6YDyzePndN9XzbchbHt9n5x22o14PSnBdeBJS1hgspdDZ lAqM08+oTM6URbvCxzodZchKyoq1qoQnitCb3uROwrpopy513FZb+uxw7MDKLDmc+lnbmNxORLvI Jrp8UdtZixYZTvh9m6UA+Db9NSVGyVhXyhfSstm342KepNJCwh7j8XLH2KfZq+et4QO8f3hhniPW a3MtpTPb9oanRVLBWuzPnz6RQcfYOVttIwPxl3ItPzvjZg94gdUIPKTC7KOEx2VFnj98eUMrPXXP e3vMP6YT/2MG63FY+s8SEpZelaM7Sjqkb6Reg+xM2VAVaj167+ltVe3hpQWAa8VD46c0WFaCV2Zw NhehEdkQ0w3UYPURdaBM75eejgepTP3znTo5GdmKNpEywOnWW72A7A44l4xhO8snlNFqNJXCLz+/ BNlLb4vDHt8uVBPWnC472Ruus9tvx9FoD7aSRr3W4pxFd3CsnfJuTjecVvSGHemKpYROThx2dZ63 yJST9K7U4KIIqVwszmvIEiIUeHWdhgBtKBmndicOugDuvXjx4oWY5ywwvkQPoYA3tvHk40/j6uZW Gum97kBeEHWHTAQUHR4e1JFWRAi8cT3IlCXilXCt+v3cBNxwljrBEX0SB9R99sTiniMTLDAcaaJO tKsNQMkWNh+8yuocXOOrV9/H5O42np6dxsEw+0yulmCc2UKL8AhOVb/bESbXA6OiBnU9j2a0MgzE mdI85qLZfCxvlNrrfPE8bXy8oPHKq+bIlW5VkmCpYABzctbbGFW5SfI7DBTGyZ78dDrV+Ljm8eX3 r6TOi9cvsJ/mIjoXRFvG/OGcbDaytpGNl2iBqKY0Vu8yFLtyuyoRZcVWh6D2vLwpeiP/fetM/5Dj n2ywyIo+5l9hiLK1qlqgitCHlHILZvL/S92bpsl1HVe7kX1fHQCSoijJsq3P/ibgQXjAnoIn4Mc/ 3F1fWw0JAqgm+/4+b8Re50QdJECQgi3dTZUKVZWZp9s7dsSKFSvaYdND1yA3qHifaZs10MUPgsqg nZ+Hqo4k2aPJ3kStwyTwNgyYAPTILNYhGwYkpJgjeydsoteL92f1xji/93u5ZSwrt13K3UrUC9DP Ea2p08Fm07G7+A5Ss2OxG4s2gIdIs1AHpNlxo8xl/rSy+dO9H0tyxiKxisQoF52h+8Dn3d0EeXa9 ia7PeDO0uqLgF7qBwgeGiLROWcDDiIrq6APYQQxwZrcvX9jLL7+04SiSGJgk6hvxrso25EP8Ujfo 3huyJue2q+cT+Bnnx4LlPPg3Cg05xMZAyivzZiLFOgjPbFM2hXEkI0ZL+vHIHu+jHRb34vr6zucQ vQDwnuBc0fmJxr/708GupiOvdSXLHbQazq3GK8lmasFqnume5Ro+sdQxuj/72c8quoI2Wc3L8NKK ZtqzTtHx7FTgr0QSeu4U+fM7Z8gvQ16JnwOzjWdByZNjtd3Bs2M+U2BpZOqb2G19fRFdiPsoypAy 8lqfev0fY7CahvSzYVhEdSKp4T05fYH6PQpe4WAVF5suLUwG2MJxskVnqVHDqJoPcCqAe6r2PRsI 27i1t5O3+4oHK2uuB65FK48itwHLGabwqDheMnDFmETn32VZLHVjiThnqazGg/qQsdLEyGoOmRel IQOIoaDvIBpOXW+HRvlJ4eh4aUhM4F73ytpkQsN2OIHWcbRRYHgqcMU7cVG6UR0WOP2jG5hP++ba jvtNxZyWBv2LV1+4J0GpjBdnk6H88lWk3N+AnwThdTqZ+rbkFIdJz6YzWmR1vawmpHhqPpF32/Eb X9rel3DQN5nSWRp+FvPEQ0eB2AD4hIqDcfkMnlvL5Y25Lzc3188gg24fVZC+T0wAZzy/6WRmndnU Q0Y+TxsRC+vmOsqc3HNiwR3PrulGBq992ttkcG2t0gjYMcHiAcnDquZN2VTxsqTFxmfUr2ehR7s4 J3aWedkvdA0pgvKl+asNWVlvhrLZ/I4NhoSMpHKCkBqF0cJpSYLEZhcUGK0VQSTghfpcfW/OX8Ew vCfkpCMRxffsbWnuK3T8GDam8UNeWDOk/OOJo8eiTOChYanXcDQjWtO7JnnTWOnv3lTu/QXsn5s8 JllxbwNOT8PiRemhNrlPAgCFV+jGCd+SEaGAOrJ3YbQ87t7jdi+r2q84LiUydXax2p0a4WgzU6jz 0GTKEyCq7vMOdPJM3Kg/tPu3D1F4DX2gpOnbvYEbU+9ZOA7Plk5UAO0Z3Mxuee72Iw9E11RJ+NA6 fRgLwmkBZZLgiXjmSnyhY6kugHIB+uwYzdxmL7+x2dWtTUZoyE881HA6Bs+7HferOaKcJ8igoR5b qCupnEn3VFlPUTzkYSCN/Cz0IAvd4ZmC8wUOF12vjzaZTa3XjQL0h/t757mRdLi5ia7N7uHRgt4j gY7fW++vOaQQO2g5kJOBLXTfVNMoT4bniVeusJBOSirfwgtC9gblBmgVynK7AoOTOAPvkVev58cg wcHgb8fi3eTuPBgmPh9Dx7XcvnxV1R+6msPj/L31kbmJl4xKfj3Hw/vmZ82lrMmVQ0Gv2ihcSa3D P0Om+9HbejF8QrlccjuMExcBH8dDQB64CpkpdkbUPXTfgx0aap6OaSX9Kd1gxe38XUJqnppO7HG/ oIRfZVBcf6v7B3KOEWZoYguw1g4sHozAYF9MZaJmFn11L5Knl4FSJpTS2tpZ/TVdtK5WdkAaZRnZ JciXYC+QSGHAc+ousdMeWmcQBc7ZzXYcbkzWKSaxSkEE4EZ4wj2IMAvDCM5FsgK99k4L/lBwhRQW 8u9vvokwA9339WLpv+OcvZ3VoGvHHSJzS8dPxsOpE0rhWKksh7pPxwa99CM1DIxJU32F10QoXoes As1VHhXPNt6A14hxZJP0Z4dH5P0DnmOFFK9jDLeFykIZzXGz8fvDpoXhIPzm96i0no97V1GYQl/o g7WyuQJuHL07js8jVGF9RAIh8MJIRIB1RiORKNImu4yR0YbFOWB8BKS7kgV6WtsQTZQkjRa5sCJF AvLM90WNVM9XOu3gcD//+c/t+u42jDursGSyPbveikSMPl9zHb5bnktNWIb7RWY1vNmbCkPjOvmb 1gpeHgZZCS95Zar1/WxZwtjjND7FIuIdlVd7RhCyZwEkSfVCmCshAAx3WtdH+Q1uNQuWr0MhJpRM jGyWe1y4lnIvw7vwHaEQTRncNG7UcDiyaWluSpjjn0AJiKtB0I2mZMXAHDCOXpsP6AYYEfpVLIBd O0pcwGeUpmWIeUwbKR07drkINSMEqYtI/fgNHpbqEmUIsiwzkijv7l+7F4oEy6A/sdNdNOw4doe2 WO5conhx2Fj/0LGr3thap0L4QwmDyOeM8kRoPPkuvSacXXp1PtQEYXwMtXqq0uPvwKVCU5/JCBYC UZewCXkT9LDcw7HSoBOdLRqKbsJQEwLivUxn1zaajIoMNt5FyM/ABYoFQlKlHu6Dl3QyG5xDCHhc R/TskXGOhcCxoHTQ4FT3Xh6BK3qczGsPuV8MjKUvFpVfYcTAVPA4hgNboWKLnFDvyguEMcbwqfab hfv7kEDpwtSnJyTNSmlu6t5U6dpzRikXbkNkDNkMIilTL1ruE+95/f2qyqJh+G9vbyqtel877cje QkpWxpO5kjOD0ghTV55uAeGDBA3YT732wH7567+sRAa9mxR9k0hKlQa/APEyfPLOcijW9LLyvzm3 //qv//JrZI6I0iDahF4PLpdFABSJ/JDB+rFeWNeboj7b/IpqYvlZ5MbIjtSdSYKaEJ01B7SBoi6O h0y5Dd2CXdJ471iVe1MYKWqsAAj8EKU7K7IwJIr8o8CqkIvhB7yevW0PW+sNew7a+6KbTFyq5LQq Ko+tALR5gEE9iCaXpP75HsRR4mwWZvBRqG6XS470jZ1QLHAIw7araAk/GAYW5FIdX31tb9+9s+ub O2uNIwxdbZY2HFHThUcRDQWiFx6eDFnGAEvxWsgI/e3f/k3xfuoWUNzDxdMXoTU/mnkn7NsvvrHH 5drmh7O93SJsOLYumkbXL+zYopRoaeM+mJbZeru3zpDau76tdgDzA3v56ssKUIaL9TiPbjvQR+BR iSeEUdqtN54UedkbO9MertNv/urXRfLlbMN2x+4fHu0v//Iv3eD+67/+qxsUDDas9q9/+Wu7evWl HVttb4Th0wPP0xtfsIN1KnHakteoR6dtHeYSIQSNcEuhNKoVb5Fwns/9ZTQ5Hfb69vYhOt2cD2df HFAwvGh5j6yQGo4G/QRdLLJ36Evh6e93a1stn4LQ2e1ZZzSwY7dnbTKM+511wZd6bXtxe22z0cCW q0cPgXuTfsgkHcHRhm6M0VLDkExnMxfZ6xE+z8behZvzw7Nyjl+pyWQO8XqaiKAOOhwGbSEWa8vv ORlPvD02EkpswHwn46lvEIMuZNVIKjw+BjmWz9utd7ZYrez//M3/dfKrh/2+YJHyic2VTYs2eiH7 U0rbECPI+GmhHmhOKgIQCZa5BEdPoSpeVKy3ILUyF7zkyQm5RCskBtR/khKkHzJIPxZ0b3mjL+fO BPgcrbT0OU3vAeUA95Iix2ctwpOi5gbXimwKHV9c6uO4cw8qvComtMv9FemZciGtMEw6jiRi0WDi oQso1ELn5mCEKMnA+DiZ8pregUGgC233RYnvKVuA3wNuRR1aNFSIcynF0WAOhEoA3DCXC2bWKaHd FXrppZQnXHyMXtRfsShyvV7OSAqExDjwYJmMhCG6p/46Qrde2x67j9ZCkK8HxWDvzSUO574Nrl/a qcXOOrA97r0rU+JWRTMJjJCL43nPwU7Ruepba3+w/WZnq9XsvJh1AAAgAElEQVSDZ+F8Mrp3BPcq Jh7ZQAdmhyMHpjH43BOwIXCx+cOD/WEJLkK50NrpDnd3L1z5FKwIA4Rn5ddTScpE+Flg81L+8XwC xl6lzHBsfNr1ySl7jeMmPNGOs8KDn+UNQmCFL2ovlbo+QH7x/7wF2/noyhI0oGCOkM0Ek0SKm3k2 vZrZcDRxOsV8sfQ2a1BwkFrudkJHzTdW78IdKiMIPOIRiTWeVUG8PKfwxZTkkYSR10beRKs15o4k jzNGRNZT3lQUSAcGppBYSrp6fbsdlAU2W6ILwHSeR1Z3yFlGStc+ZgAypnmJh0UiyFVVU2Y2Z99l kDJmnDOb/6sYlotJulJlKEqGVhX1feykwaNyvsrpbMciiUwRbGA99NXjxnGjpVcKMhphZJAJ64Xu J6NONKXMhN1GDQDArlRO4TvMBjA2uCm6YXpYUlQUkVIPPGsdVeRCZES4wRisYmg0qfJDEvipsgid t/AsvTcbrPwgVWLBkAqqeyLKVrbbPgG/exMNDc7t2LXmq4PXwR24x+yYpbQoMALA8KMvtKpmrBBc EXNbrfbOdGeAH9alIzsb9qd2czP1CQ+HiEJkzvHV7ZXXaq5gxYNRbA/29h1A9dKlpKc3t3bYcv9O Nkb9c0A2sMwX7tVZR4vfZIpJ9V2guteXRiE0tXU0jsArQIIZbIWQX+oKtEODjHr/7p3XNyKaOJ5e 12q4hQToUEP5N59BODmwsSuObjZEBSgwDKq50zvsbOpZUnhNNWBMNnpbPC8P8/YHn3OaA8vF2nFG IhQwPeFKnCthnPob8jsVmvO33J1ZZUhswMK+KoqEC1QGxUF0mLZjWcGK92Lu0smZUFgUHYHpmu/y mpqjybNqguSa15lkrbWTM+54VNqc81rWtfwQreGPMljZs3oWJpZdkp045iO7ORd1cl2gttPdo4g3 Ns/YYd0zcre/1rvyphXgR87HKu2z0o2TqoKY2LjB3rar7MICIBk80Bcvv3hWHS9gU3V1uQlAzuJJ +wlpYO8EXc4vGN1Iv0TmjYmX233JY9CD+BBoqB1R2AJDjHMZDREBgwIQhosQ1NVDSx0jBr9679Fs hjgdu9h2F3WUGCq6anvbrZ2Tc5UkCPwpzpXQPiZ9ZEk9AUE3oYJhffX1z0NRAwlm57ud7NQONYv5 fBFKrf2BqzagyCn6RPboCb+Cc5XwES9elwdeNiqRg7kuQohzx8NKPCOOgWfMa+As4R2DEylDJiUO GXrO007h2VWhdtXKHvpAKLjypRIrZRyZ5L0+GNPQRt51G6+3DpkwKNNeMZgFN8XD9u5C85UbKrSz XO22ZO8ENuvZq+aR79n70PMF3mCOBXk4CvQ9mWMRTYhOoPnXon9l+Zn773WnZDgLjScD9Pq75v6l 701KjgyV/qZ7VWVHi0GvKUKlWXBDFeRzZQh/NNM9KtZi+Cm4THHIoPTa6FO3rXUoQvdof3sZICfN RI16vLK0y2cECCsd6bNLGj8vv1EreTX19HKCwveQBxNeyq6Q6GKCcDxCypNnvUgRb72GTNkVPBQv J/GW73hxdKWOfoV66ErfYif4PZPu9evXbmgjXTx5xuvKmRX9O1Me9JmZhKfJZeeB7cquiF4UITDU gtHtS2t1Q3RuPHuRJkQqnFapj3u8IdvDF6lHno0mNen7uJ9BPvX6N99zmGjUnmOqixYYBnO5tqfV 1nb0SzxDrejZ9kAmERn5kf/ct463FaNUSNK7fv2eFYyEQPU7D1jL4ihAgr5HIzjCuJarebqonBsp NkQ8Bmrdzs6rAiTH2wa7ic7IQ99k6AZEAOf3BXa9G8cwkChGHI80Ue17KzUZK8Lq4AuGxwPmRTpm R4PZ4qngNZJVJduJZ6WSmGGv9LTcrg3prN7NlT09bSoPXB49mWHwHoVneZPSYvcIAEURwkf3Iree GSazCQ7kyhSDvrXJtA+R6IlNnudEITkh6mEf33XszPf7EOidQfY8h/NczriW5rYgmWz0FDXoGjNB WaVhn3P8qE+D4OdAu5980Srn/pWyGk8lOw5Udlvwq4ZH6BcEEuuZHoUHdfytXm5KnWbvJruXEQKd q7BRXowmiEIxueDZvZbRw5iuVkH4w2B5nWEnag0DbTOv06I05er62ru8ULzKTouKwG9+85tqQuQH 3dy1sleo6xT3RpnI07ljq9LfjtfS0HX/+BQhkREeUfMY3qIYzxUHCQC7eE06jHhn6jYsg0VWVAuX UIKFhgzyAzLI5DoOOy9gns4QCMSrGlqrB641cMzq7sWrikLgMjIdWt+mAnjXsKuNWCRrJNAYZsqT wY6Vtr0xiDtJTrQMMqd5R2YkcIomWQm9XXVgMK6NN+AusIMoJYW0nDFEDAyCdXh63Q60hfBmaCK7 cW4VN0y4bMyJdrvnxNyQodlWCrDufXcjbR/45NqOp6gI4LUYNSVWCKHBLLN+l+adipt59qitCkPS JhibESKE0UJO82qAd1mkmKravk5pIJuY5Zp38uqerb3GaBKf81zWvzXPRBfKG7DmYg499fcfyhD+ j3hYFUH5nCaF9wf0jn8O/vZbRy9pIOPrJDzFxfCtVNisdJEbq9JswotInxPamjfG1QpIzZcHIH4K no+XlRQXWsAtQ68RDys/QBmtEFE7Owakh5zJiwgP8hkqtEXIjl0TJUz+jpJAdqPzA5bRypONkdn4 4nsRTrMYZlchXCeJXDzHubexP3m3Z7wZNSpw0iw7P7t1b+B4R6TymcgRKmt34+73faKH4QYri/Zr 1PodUK2x9oZ0fdFb73Tt9uXQple3LtnCAp/Sk7DX8wXoWAt8Cg9TDx7GYaWEWsVNSP0tq/VS/lEA L5qwetkRL3eaVfhe6nHp3qJ3qw4jRyH4du2Tpmxg1MJFhpsmHdFyzCuSPfzlQ9uds3snh13MK0Je MsBLV63YWMsXVLdqYEJjjd0Gci66WMEpfFqt7O3be+edBfcoSnHgvkX94M7nokIvQQ3OGSzNerNX LVKnwkNhV9pItfDd2A5pOxchqmgC7VZAFZrDJB5U+qVSIGG44hBqXl4iiGaDcClczAD6JeoDnaCy eKSutfmZn2t0mw1Sm00lNN+ilwFUhahQd5GY88F2h7V1e0yGTkweVEXdrSqqhkprnpsXAD2C4svn hEtdsDq9EAp4d5vikvO3YCfHbsTEFIlOD5V/yyBE6rXuHKywUw0BMKsOLvZLcbC3jm9bzzEQUui3 TvqUoYOrhBGlEl4ia/m6stHTzsrQ+/W6CmdaBr7h3mB3aEfr29tl8JBcJ2l7dl0mjAa7Kxk7Btk8 rvH6Fg8t1Dn9WRaDGIsqGhG48S5VAdoRWfCEYotFLGbhKIDN0ASsGDp+N7u5dT0oXofxbrejnhPS 5rlD1556fsSccfGz0nBVzUVbBSMtc8zfg4FloyuLCYoNXg+ZaweST05zGA+GNhwPbecEXzY5FvjR tputdQb9ArKX8IX/nSnxURdo5JoJkVtO5Xj39q13vsZo38z61n3JxgY/iefYdQHF7Ypeh3X442Fe oSjwmVw7m6jzopZBc/DNJ8lyM28xJGxGMijSYtdGy99+WfS+oqynSIe7Zxn8LWCPPFplnod3hYca xk9emi/qkviSEWx6Tpdw10ywzsep1mOqjsjEaPHDKoJqwollgD/n6AadIabZpcHEYGfqsfi80hle FZORdkfE47CaIz3tVNDUYiq+FxJowa0cweImEBR0Yv+Ej6IYXw8+mNIFXwLoKwteDTAxaG50YF0f uVHanbihUYA6HkeNFW49ixqs6+kJBvLCJ9GbNw/28gWUiEmk6stiZoCd8fXmzTv7q7/6KxtPJv4d /EPV8yq3UZZQLrAmTBOIlNcowNULoJ+ePKTlfF7fP9pyxWd0nPP0s1/9hbW6Y9vugq4RpNeiZd6O an4ni5b6MydDevfmlfPZlLVyY61z8RZoURvj+kiuS9WvKQgI7RVcajCelLCiY7t9YIRQAhS+QKFA l6sFB8+j/LbX4gX1peAqu0NgNadCtO30/fj83KdNVjfkp707TS+EHaHD7MAgt2uvGdwS5nUO1kb8 r1WLNY4gC1Nyg6b/Mc5JiwscCK8IWoL3Adwf7PW3f7D777+1u+sr++LlnZ0PqLuu7Xho22pJsuGx 0GUGft141JQuffXqK5/HzAcK1F+9fOnPmwYYHI85yTPEmMMK/7u/+zu/R//2b//mr+Nz+EyeD94Y z16YGPjTZr31mj6+XHTyCu35iSdEtkU1lw204xsvtZe1xBJer19/kn6Rxlau9Mib5yUDpXmav2s0 QfWcxOKl8sIy5qVnkUfTg4vPsx/Jw9KHNV4o8wVfJwo/yQBi3mgkSQjQMprID2mhXfRlKDEBU8AY aSGDHaRLL2fI7OaGcTPYSeusm/AegcMZ1NPik9KksmpiE4u3IvkW1aEpfRyZozCC4r5oJyA8cuys FOyKFkGWKoeXOgctjB8zmuCmrpXJzGLwftB4Qpu9p601nHi4iYwpd08dhlkI42nI3WB8wNuE/93c 3gZf7YM4QoRkl3l7wckrbUA8S3xwGgshF88wUjGk9IdjDFz8Gv2rrqD0YFw6mxzCJmAyQHl/0Hau GbV5lBmBD7HpID18Pu1s8/Rgu+3KWebjXmCkKFmwcDcbtOzBRrs2GV/ZYDr1ztdWOkp7V/DkZQwJ VXi2RfTx7mpi7cPMhmyytree9xbkuQbNxMtjdpEF87nf79sXL6ONG6qhYqTzHCTAt7uPTkw8C57p X/zFX/j7wT3BV5mf4jIxd/idogSelYyZ+IUi/WpwDGG7LVdCGFWMejpR5+JlGYg8vz4Ukl3iXP2U 0SwTy0ZJhvJzju75Ix4WBooOwoQJ8dAptqWpZHhAkCv5dw9SHa4nFtdr7Sx2XTItat7p1hhTFuU3 0iSNEO78LC0rcFg7hlLDOQMhJQKyWgIy+bsYxjICMlzipihFLRzs7ZvXAYCSjSnYlbu5A3Tbp74Q HfysdNufZ/x+7NADzCEj3+/v31p3NLPTKVpDvbh65cBtq3u24WjqIeH9u0d76woKD44thacXdYFo o3ONZNko6p1SlAt+ogafTcbxuYrjSou2wolrzgcKmItstE9AZQPLq4CavFfgMeYHWCYMdu+MdNzb 8nEemN1hb8f+0Dqtaxu6lAueFVUFC6Pp24n+ilRGnNY2Hba8k/eE59IdOGZ2PJPBxGivnd3e649s MOzb03JtrT7de1rWclnn2O0pd2oPu+5JbhYLr8CgSezgxbWL8s2GbRt6cmHould0TMYwogpCD1fA erSz3IMh+8ZcbfFsVs6zQrOMzJ1L3pQNkPmIegIQggwY9X0Zw9R31W7evrxzpnqLjQr11WKAJvQN uLqixazXQMKyP5EFHw58A9OmjPHPm2fTc1Jy5pJhygam6X39lLn9oePob5eO+2NH97Kh4v9DUcHL PFENdamYs40QBfN+gnCvDtZr9RygZGHg9ZCzCTpDszFk6YJZDJUnuZn4gL8Jv8o3XlgUE4L0byZm tsA1iucjbCqHafnfGvk4AuEDk0EiJTSzh6UTDZMovKkS4pUsnHhYn2q08mvy94wBaPeU91bLKO+t 2xr49V8Pho6dAT6za/MaCpTZ7Z+eHhzbAbB/+cUrm06pXywNOD9xIrg8UChUJxZVMbDew42/UVQb XnZcysGZnxgfICB8HKP12m7tpFPv9L2PLO+Qco4F3WdWIV+DnO+b7+zF7ZUXgC/v33kn8Oursb16 cedqEeBumEiK1HHUj72urXvgVxBi8bjK/SwCjM+Ju9A8qLfa2tP9OzsfVnY7HdqERhKTvpfgtEuy aO9eFUkKrr5QHoquk/TlgRWibVjU+i1aZtOycXM8Nj+ph+BF8V6X5fniCw8TeYYkavgdf9e8E6aV cSHBB6qi0AY8oTdlqSsUyB5CkrXByh51E2hvGo1LQHzztT80v3OoWWWtG4oPF+db9bk/UsDvPU3I rB5KWECNGA1D6YzSatuwA9yOkaGkZUtPefeceHC45R5KtGC5U0xMlbh2Y4wa7yxMVCeQEv/WDT0F 6PlFF1UEhYCBi9Q7vUJEZDyo6Ro8BIh9OO7sab51HTfCU34mA4QfgVopPxOCkBl6fLqvdiux6KuU cWEPg1n5ZEoGS+f1OTIgHBcMBGOzPWESzF5d33mzVKckDMb2NF8V/OTacRBeq+424DRnV7KkgPnK Pc+nh7lTUET1yKMSJU6ZvAjVxY97brTgdLkX5k07QqUgMEzieMTuqHDgPQc777d2WOMRrKxN/V3r bF++uK7LWIZ9m1Mm8/a3fh6n9aNNv5zajlKjI2UwJ7vqt2zaO1v/vLX9em/D8czWm409PK7tHrHC Fby+vnVRgCWlX3rxcWZu4Lo0EglMjQ2VbOPxsLHdcm6Lw8pGN2ObItrnoenatmsyx5H+d8zvUOs5 UQWx2+xcbTW0wlAkDZWC/PxUXcF3wnK+k5RR2C5MSdnArN6QZXOiC3hNm+CZK1zM8t4MrRX0tDLN QGFgFgXUaBqfz53BywariZl9rnGR1uC7aGkYgRtEITM618ggMQlbtne3GkPmnZpPTsaqrWq6gCC+ Q4NgBz5VhovJ7vhIUgnVBXsIx0Isao3eyqq8TiqHyuCI1a46LaluCqPKYmIKLbUTewX61XWV2fFd qle3RdLkyJ5ZeI+ftvs0X5Pje32m98Fbrezm9pUTQNclY4jBJBTalXo0RPKiQSa6WTPrd9vOQEf/ /WkeIUZ4ZhHyEop7J+Af6IziGmZlQLqM0DCXaBQPxtkoIXHsoitkoJgDp4254h1tcA4b69nRroa0 w5rYcIAUzMh+97t7x69uX7yw198f7fW7e+v3hvbV3cTW8wivZrevvO4UfHTUpSr/6NnD7nnvc47G pVNkhZHkObMxkh2MTc8lIOEIcmZe5sRjbDl8QeH8cT21XQdt9mPpemM26J7tBJvfmEN4KTR47brB gmvH5ciLQf2CRE27fWWdIvlCMkra6hKxyxlCKYp6sqTMAf7tHLvCgHcSa2kCK8Mlb4pMKIPEUSUJ fqwpOCKfZkA8g+uZ99XETvNc/BCW9alzPGcClXiSwcyk0UuUikvH/aHRzSU40maPT8RoIWEbgCZ9 2QBCMVRkCMkveQ1bMTrQHfwGOdsavk/UtfmkznpXDpiwoweBNF+IdoRMQVAfQToG59BP7rf4LhJR yy27NIFUGiFZ1yoMLB5IfrDazciIxoNossvLjVPN5I+84bq+zMnSLt0fkASIDNJwfGsrr39DYI9Q oG/bzdlpDV7S0R6FIGEvOicfH6M2Tf3mCIkwXGGwLgGf4UfF3a8Kk3SW1b/lhfkzxjBhrFSisUde ZOOGqnXa2bjftZvx0DvNUNRNqLhePlj3uLIJIHhrZ4PW1u6mgOYj7wq9XG1tNr61lzdTD9GoliAZ zabGJjl/mtuZxhy9vh1OHW+ASsfq9W7hevY3ty98k4FvsNkFAA4cAQ0DkifCfWhejbtXdj3uWv+8 sdXiwToHukwHZtkpxfFMS5UAsVHL63dPG+20sjBjTm2dYS9tLTHXmSsYMUjGGCg228wtVK2sqDWv bq6eVXcoCTMcRM0oz0EJn2OS12kSQvPvpLLgmGYpSFbY2ATGM0xxKYv3Y0aOgC4ZwI/RKn5cSKjw oLCUASg756N1bGejTjSNxGDRqRk3270v1EPIIBYdq2C4M+GOnqqORpH0nwstq+DmBA/HFSfjKqqH J0udiZX8jnDJM2alxERaUi5Ft9va7c0Lm01DLpbW3WqZJCJq4GDIqvC+qK6fz59sNBp69iaMX+xq TK4x4nC0vD/EhEIJIqQ7ZAiE34RCApI4P+aB5ger8iPOg0+ZjqfWeth6CHjz6he2ePfof//u9bf2 OH+y21toCxF6IFdCsoJ/3754aVd3Lx3Penh48vvm1+IFuJ+WpWk9w7JKYqAQhvGkXSkWr8fpLFsz uiHvlnZ7Bc7jUgt2NaZge+zyN3u626CQsN+6KB4G5Onh3hZP936+1O79x3/8p/3sm5/bdDT07KLo K26A7GD73dEGlK20erbbnGy+hGbyaPfztTfhwNDsdhODlMHGu14svLcic7F1c23DDtnVg62f3tps 3LHp6Nq2i729efOtrYf08ruzVovGFWSij04vOO4wCsEP81rULvMJ0m7HQXA27fnKbLfcueY7hpLw TwaLwTMhSxiQAgXCBzdqYFhsKsjQMNd//etfe/aUeTSbBhFaG6FoJmHs5O10gkaU9N8hNIvUHU0t AtJQM1YwNH+WqcQmz8E/NmzLVIYcBja5YZ9rdCmLcONTMj998CoA9tbOU7/TDpUSuObUnYGZ7NwV 59V7n1x0JgaRpWYLIxYdkwEy/YGBLziBkEwObnvpKlgUHNw72kUWzz0NNLfXK18512X3Wa4WLhvi LdOXcy+W/erlV/b29RsPNXjvixevrNP5IkI9xM3OpR9fN9rBB35F+LKz2ztE4eg5uLSr2Y2nh3f7 vX37/Xd2e7N3IxXvxavBxYc7s7M37974pOE8jq7usnYuURuWf2pQoVRvriPUQ2TkBhiHM7pGC+sO rmy53qOp6anr5QJNriu7//51JAPGfVtvnmz+uLDVcm2T0dRu7l74Zy7nQTTlc69caidIoLvjwY2P TxoHpsF5Qgk0lCoO1qGf1fMpGEqg+qnQE/CgzojVbZ8cq6KLzOSqay+ue/bm7da96qsrsMCuPT7N vQcfuKa1o13XcneyzbFl0+uXZq2eLTfI1dzZi6sb38z2W3hWXesMaBoRqiAoFC5RbuiYbSCtbla2 XJMN5XecV8tev/6tJ3y4Cte7IhEEt2u5tndrMI+jffOzlzYbda19RlW0Y4teOzLIlC7N2nbYmz9f PFuG+lQi6xMZ5AjHuH/zpwcvBCcpM7uO0E5evcrKwLFUdM/fCRHxuthQOIbIloDv17e3HvpH/WKE UI4JFzDdPS+vzYUiF14xHDvuCXNPXc893HO6UbyGe0GlAlOODb/fv35GKr6kpvBTPaCMW2XclDku XqWSCM1s5g/pZTU9Nfdy3bnyOc0+f7Ru6+h92Ci27Jx2DlEAuOJ5tYoOuiuzA2o6+yWySDp5v4HR oTGsLqUbzmaA7ZzcRc8c1mU52l2knqmbK7xKrY904bQ3j3IbjhneFN9DoVQ7Ts24VTcTimrZNaEE PMFUdgOaM3jc/FLqQzp9AQcHpcWzhzKhWx4FtoGRPX/Iubwiu/G1REhRE7C9IcVFqjo6zJCkCCVU TD3yKmIsr1bR647wD04S/DZeOxiOo4kDz6fX9y9q7LiIkHp5ruqoDkFxHjRb/bB2UWHMOUWgBbGR tvUs+hHnT5OGna2XO1fscH2m8cifBWEbrHTuN6EWhdS+oBDPg+fGnPDsF1QS6Cva6VHJjFIbR1DJ wNF05AgoH893OBpYb0gbsokXNQPW08R1t1lZt4WuGV7gyWx3cmj15u7aeq2DHSgh6bL5RnkM8jvO Lj+Yz6OMIzGnmT+uposm75nO0NE/UM16FbqxOYimwOL0jHYB4QVV6PnzJda7Qw+Ea5Bh8ax4Fv58 igFQz0YvaYuKkJbPs6ABeQ/XQpSOhS3DEbJOjFxveol1/rlB90sjV4KoOPuHMpQf/Tzv1lSkjv1B lxZOLpfBAjuFDni16MqCQ3ak1tB5Hurk0Yy188PLv9ONzVZai1wtjRQO6kFIfpjiVhZzjHKu5bOF t5AZVBaQXnZRtgLRlPcG7aIuIGZSlBtrIdzH1/MaxZ3veCwkPMq8yygblFO7co/1AHVtqvdarQ82 pzPwoetA+6mztF5pJBCqBGVBnZEx2Xn5ie5Df9B/zmGTaFsB0XUePnGlue4SwuFdvDeqjLOuyfd1 37V7dnC10WHP3JOl5RU0CrU9VyMFAa9KdoiIC9hebSKpi1E5YPkW3Yw4DfdazxBI2zYe9O0wjoyi V9Xj5pLJWy+ch9brtFwuCLKp8wV7bbu+oscjWODW6EE/LpjonDpBhB47W5uW0DwXDgsTUnmLuHyS kxaojWrC/eNjlId526yWGyKvYij0E66Tv/nmy1woShpqiJIBdDYU3/DLPK4XeEAREWpFV5/4faYB BQ3Hn1kHcdVaQVQOwecijH7qUOPYrBenNfxTMGAK9IvkcTStpFsIE7nTwSKH5+QTrJRzSMcobsTJ 2ypdGk22bfPE8o3L3XA1aVTAye+8lnAV9XK51TvV96fqoUolQWqW3s6n7gwSeszuSbk0Dhm4XYin qSllDZwGRhAGK3ZFaAO8V+CpXxuT4ozRqbOPGdjMxaw5C1pnLA8ettHaa70Bt6N7MuoFJzsVdv5i vrQ2Xq0/qXTvzoQpe/ewqiaiVXq7rgzQaIalDHmJcb8CW8S3qYgNDmgdbLuGYvBkp/Pe2mTXznDi ogkDxlKNFjBWGAEReYNUWVcZKAOm++KTtqhHxBwL8D9TYQgrnRTqdXw8H9QTQkBvvaPcamDjnllv MrAZ/fjGlLDACyND2fNKjM164cX68AXBi2iGC5TwuFjaAKiiIdiYuURgo+LGiaGuGk08790hNNmz dpV0sfhyLbdC8sygeI4UdC/imPWxK0yoEK1bflOCvEzRfmwKz/Wn8nPWPNWmrY3qc+FXnzI0/5t8 yJ/qZRHiu8UG5xzwoAktvKtNaEadvFwFNzviRmq5mmztemGEFlFO/ceNDi51DTqXv7hKKRMIDfFg eGsn8/AQuWQPLUMRwD39bbjYw8HOTo6fBQ+MiRgTII6NzlNWLRC/ilFPDrgvV6GfXYVqAZzK+GBE 4MugXc3kpUsySpP8zP1A6xucTJmcfE+aRkqfK8VRPBY3gK71DbiLcuvIeu2hGUJ7FEhPxt7gAfoC A6zHVVaPxK0te3c/d3mZbCjzv7M2V3Niu+G4MF9C0yo8bpqLomO+3z7apG827LNYdt7YAG+GTUOL N1Q1Q08s7l30S8zeZ2Xs/d80ioUjV/9XTSN1/y7NKqVTlBMAACAASURBVKApdCcjry0cw4ciy1jU OrfrKHvhufBk4dqBuw16dDgG9+hY24163IvwlGHRL2wyCbXP3EpLxobXgjt5p6CSyZXHkkuAFAYq Gy1+lQqgm8J6gj5CTaOmJNT3JfTtMbyx+eR+l+eYQ0cy5rURyhxCeGU6Pz1/fhch+sdbx3/ukZ+9 hq5F2mE/ZnRdc8hvFOTA4GBRW7VnF4V4SQq949qgxdIr7FF/tJo5nkczXr5EWtNDUo2fwj7hPvq7 wib+ra4dMbG21mtDyAu6ROajSGaZcA3RPadKoAPO7gqhjDrIsvPlCZQfqEKCcNvPzyRqoD3gxR0g x1ahU90wlZGLRHVu2u2yakTIghA2YATbkansUSMYLeUpzHYPAHWMzd6NNjV0OEh4d51dwUHKdWR5 GxmwfB7V4iiaZMoQV9etInbEY9A4P+5cQYFW7sBtp92ytNkiS7f18xFbX/pb3PvobByLSaF0xvJ8 gfGsvb2bo8oxV/DzyvlITfYEZucAT3ABe2M+b+qh4bhHWRaeBI1XAb43ttuubQFPihpTQlmEHY8d W++D9qDjU8ok0qeMuJ6NvuRdiSMoHTNvNlH4f05aLgtQzUtyHz89F4XAFXQADciD/hAwrMOlIrRY bX4Cx89OFcIA6fwyjUf1tALT5e0ptO106vX6U0KyHzsyBNTcyH/KsbsA7O0CkAOIHwwyIAXMhDh4 V8U1demPMB6xS5SWA8lzuBT2NXf3JldDBkGvyTdfN5oJoiao6owbJTkH9/iCUiEDV5f0sGhUVMr7 1ClHGNlwMrQ2hEHav5cdXzsSp6SFFr3gQst9AEue+8Qu7hK/QZfI9WLNa9Yi1ZAB0Wt9Zzc8hoOt D2fr9GeemQIDARuizhFX4XzsWLdHKIrGE2Fx8GyQ6R3AJyqGzdtlpfsmQ5a1xUPiuCgv5IRBUUkP pdCj7bZLZ6Dz+d0OxM6zJ14oo6GBA5QGcYh0b/OCx3NUEw5pllXP1gugOT6fW2gvOgvJ8LRjY/A6 v3Mx9oegCxAVoD/PhsvnkF0WYI3KwtPDOzdu1Al22hOXk8bARrlRGAV5UwLU9bPuVSZm6rkp+ePz aLn0VmdXN9cVeRkteRppeDhIiREbYa8b7c9yJo515CJyxaMnuqnmSYSol0K4VoJTuB4MsAwahNYI ual06PnmnKW5oyGM1ufnb3TaHE3PSud/ycn5lOHamoUxF6U0TA4IfM52P3oogofVOgVuxI4oobAP GaHsTWUL2wT85LEIcJSGkzAtqSxI6CyLkUUmsdbfrnlXcTztlIFLRXedCFdYVOza9JG7cvJh9kyU 6pXHNZmEt4DByx5EHJuFEx5Exgsyu7juQ3dZ3sPr1VyALxYGNWuD6d66xZAREpJ1O65jh6TQ3LWs TmEoUGVQ2KENQPIlvB8ejiYH95MQRxgCLOpnrlUZKr/Bq1qvVg6w98GaTvQrRMc/cM+YB7UnIEMk gq/ui3Af9xKTAq17AXjt3pHm7HQVV6lN8wPWuWtkAdqXVvb71j4qLwjNz2CdJADWtmsd/feE2Mdt 1x4oyCZhUJ5tAOvhkSiZo2x0szRMHro8AmV2OQ81PuHAzuVDwpjESWGy6z0BJYTXLq9Xc1VGUJUZ fskuKx54LHw/wRLy4I1NpJR25jWl4wm052dJZIsHdjy9T+gUVPM/OZpelY77U/GzLoqXg363TMiu HbcrOx4QBzt7c1LdsKpl+TbwFw7OrskEZLH5TfV6s+dlANGos1YkdCDVCaXwrZjwUQYjMFHAOJk/ AFv+jSfA71F+5GFKutazhAXTkagarrIbDOu43vXpFGoOIWFTjt+JiYtHs3HDE5Mx3hvZx14vZGlQ C4hq/FaRvB1UWIcLunXrRfoh9nGe9BlH8vvROnvF/XZH8mFsX3xxY7tT216/fmPL3cam3k6dc9vb u4d7e3x88u7QdH6BXkH9HADsOrGyHU9BGxycbLt15QY36Hg8JZnBcwpvGSoBCGIRTyy1OEAFqC1s 1nO7nd56B2/CLW9UAW8PSsVgYG/eQlCMsqAQUuw41hfdiKNRhcKpuO66DtPDI3Aaxz3LxucGLeSL SsbHenTDbhfsqOBufp5sqJORPb5742U5zOOHt+9sNJ3YbDKy1xBHvMPOwGk20UEbrlwkjGh28e7h bdUUlPvBM+Y+qC+iNkoZKkkli3fFnMOLQvdfrb6k0qA50CRPPt/gY17g3fum5pUj0T6LzZCQX97c bhe4p1rhvX37xtegWoMp8xibh/AyzpXP2bimmWOhnnGO1vLch//JcYnnlYdoH00cTk5D8z3d9mnv LbnJDNI2/nhCObQX+IWnTqMLius2FJE8ua0O8O0T5aHsJDoRcVbkeVTyvqk7rMIJScsqaygQkwci T0wXlt1JGQTdmFwc6vV1LvAnTyuKnDE6YHCj4cR6g9rjE+YgvohzZkppjs5fEyGrMGaP4NLIQLxC XIUfAMWhAtC1I/yu8hkwvLvjsUuZwBOitEy8NDqteIb0UOoGi1eVJaRV2c9kplogU0TkTTimQcOH kP+MxAhGAsIpgC5ZyG7PnzuE3jOdnMlY4l05TrLx2jst4Li+eO4ClzNe5c8tExTL/u7kVMdHm4Jv UbfoC1thmWcROc+jnQ8nD8lREqW9XHSQDomjdi9abNUcqVj4fVj1pTxGsjDaRPjSPBKmFcmR2Iyq Or8yN7yz0jmE/Xid5n+GEvKCu7Rg5e3Gd/hfkYhS9lbrCfLzwRu6xs8KbUUYbnpbTCPBANkA6Dyy Bt2feuQkR8ZdRcTOowuvpkerd3SMWm3b06kkWKSRHXSFypjQaGZn4NBdaS9leN4NpjkJ5GLLYDW9 jiYQp3/zNxUwy4jkQlMHGU9RbR+SzBEaMTT5NmvCGowidZHoMFHkSpODOAd2Nm+97lpO/C3Yyef2 2ZtQajLoOkLNVLtXxwmS2bO65O5mj0otzJrNK7xxJyVJx7WXfLQHGNOBrTY7BDGiQJe0/iiaa5AP wwvFqyA03W6D3Rz3MEpzIg2PcVYFfxBreR0LDmb6Ep30RnjgSgyEEFwr70HR9bizFly3glGFiitG IHArlaWI7S3jmDk379+T8DCKmvvz+0b290KRbJRJxXCsjE7W7NLeYyB02KjxI6R2hv0yyrUoadFu vi9zI1NUdI6aa1oofIbE/bjGHFZpnj8tojYVLMvPsdd1uSJVaDbnRGwQwRWkFCl7XPWzqEtcGC7s dwITDHa9jC2Gm2xiJAGCLR/Gj807pJfDIYgsoc4FXl1c4/88teFjQ963METdpw912+lSYkGtIKJr eFVe4OyKIgHuMoLDVJebMGpJ4JqUqJ1eO4x2eFnQJkdJYVWdwag7fyhk4Eu7iKQ29FmaYDk7qH+r 4aoWUAb0Zbl9wfXjczKhMzc8xc3nc4VfNK8jh3qZv8PQa+Ut6rt2kNrzito1Z3RzD6lXPHfs1Ol4 iBIdkIPhPOjhJQ79caCtDrXAwdUiPyJ8RWRBdn91FRKQzP0EzNfmpX6UBCQetHFO0BroFr0/2GGH xjqJmOg5T2nIqXjWsNXpsqMiX3nMAvvrfnrPhQ/dSERO2o8lsx2jzmqqWiHIpGA4QYPwTfAUnX88 x0YJj29oocAqHA2DxfUTuol+wXtd3mU6827TgOS6Z3pmigw0h5QFlUekOSN5Yu4nx+H++hUkr1Lj 0r9bjXsTvwyHQWKR3lwE2ehdeObUzHIdDuqPYgOvOkuhwFrWaWjKPz0r8Ne5+dylcsV+HK3gcw8l YvI9yFFLc6PrIoHsUwDGNnuT97qLh8aNamJy2o3YGb0hQBuPS11UQpP9cIiuzGBFkPzkQlNwrAwe 3gFfE1QhC1mRBwSYnUluGBV+F5OXBRAgZRjIugpeIYnCyqj5Q/pjXJ1fLOqQPeYz1+uFDVsh96HU tkiPnAM4BppZLnGDtIlCwOhTVdqaPydnakGKWsF5Sf5Gxk1e6vEIyEzaA5WF0qm3P7L2kd/RoLPr Anew3OE9cZ+gcYSwXexCfoxOaTFP9rB4bgo/37z+3rWzxsORK8fyOtRK/Rq93jNqPmIRRua3De+n dKOmYeu5h9xJZPEOe45MP8eed0zu0TxjNH7GR8p4RA4JM6WiCmFQ/8BQ+lQLfgXcuzqTFZtlFXaX ygzXpfcFj1rn3qMA9+qGsUku1yvb7A+uO8+Xqgq8pMnneN06C+30GicKyoIMFkMGV2U1mZmu58rr FQ1kb6HpbTczfREmk/h6PodEDA04oyZRb0r5j6+RdniRORzEsMUcUIfpmgwb85u1Fc/mz2Hk6Exz RIb1EsTSHXSk7c1Ni0JXTWCGMjQOzvoH4RVEuOa7WiuMUTYacqFzxkzYCkM7hbwB/V2TgPdKp10A d/a+GJoU2lnENxFPK+rUYhfMu6Lep3KLdmmqqePqRnFueFd8LgZLO3SuZ5QB0uLUe/U3BucjUiWv UaFsZG9CFTV4Mz3vQtzpD+2879i+1bNuCamiyiAR7hJG4eF6GVpU2Qv+m7/5G7u+ntlisSq8qFbl cfm99B0saveEIAX4HQubTcKNrGPxdNWJcJHwFNIlnZpJ14sMy3WrH6TuT5MHxvBz9KxYkCFLoFS6 6gRZ2BndJVHj6gWUrXhaXk0ueC3XEFk1kgdoenlH7aI26x5qp1MZU90fzom51T103bjp3PKccoyx 1/MNTZlYecjOM1su3YDmcjHNsYxfNRdebci4j0gwxfOUcYnX10q8Oo8tgoPyYJ1L+JxbJ5zVvflO TWyVEdBcC1ilANrlPv6phiKkjIHrvjW9K0bXW6Trxvp8KXwi97ai6YB/iJx2fgYYLMZAFeY6qFw8 3eimHo8epkBiWVgZOwHcMkLa8cQkF7DMiNfVmQRhZQGYPk/3BoMdkDLKSqJ+kM8EH4A+gWfHzhST USAlqWkxodUDURpcqqTX+eh6NEG8TVcpKar6BKZzknH3Xdm6NuD+KIFAh+VS8uLPwlux1+E0fR55 boSDah4aJN5S0V8mrxjai8WTPT7eF/wj+F2z6xvrT0gsxMMPQxWaVCdkg/dbm02m0d37hO55mVxe ohSFzcAGMvYYAO6x65elEpxm6l0/O8evZCdZ+SKLVkqorioRRg3DcDgWFrcnf8JQkGH1Zw0NwL32 vc1XJCJoXTbzJhh+z3bFa1f9IgbusPdNCQxKPD8/fqKkqCGv7qM8J3ngt69e2BDNf6ALNmCu12tt 6w5MfinyCD3JUDy3Z9LCNcE3NqLn55GTAiOY9xW/qsbbsmHUhiwjK8+P5yRqTqus3T+H0YQLGIpo 8uDJhbvfjklY7YKE0UUmWA0t/YMdy5LqAEA2GT0MUHTPxQgA9EaIF54ONzUODh5Cyn3jiqJQG2KR x/vUyxBxtOBGqSkqHlx0X6HYllCVUDRaztdenLAvjYw3+c7qfQchLNJco+cTDdA9qyRiAGVgHTPr h2eHl4TcbU7J+wI9R9jEMdzQnYPUynvkuuvm5zZfQdgEIB7YGc2xzthavZGHiTvHi9ouYeLKDHg5 PCL6951ruRiSIO7lluvNxzhiuHdbe/3tt/bFV195wS5/f1vkfmHJT6ZXBHdlxpQyIuRKDjs77Fd2 2q/s5sW1q3MeKB720D1Y6CwojCsAPdw8qRUEzy2wxmaWDOPux3DcqhzWlSne3+Nj3mFUlNSAqEq2 MnhZXmZS2shngTt59wju4RVDOPXNEAyPbs9sEMeDh8/QER5XTxWbXaC66v/C0Ie8sQQi+Z1UcKfb rV1NZ96WK/Cjg9cwtoWHOTEUk3x5sKrcWzwJG4vfRzTwvMGwIJHzGU4iNJ+zZ5BV3xoseeZ6MV5F IUOhsDYwbZ6xLirB7D/ZqCoZUhlb5jE2R9c1u/0Ccber/Es0eAKMpwTliFgZ08w7EdjhDIYRfQp3 ZOg8IxEYh8O2vK+qIscji9Q1jOMlcrPzJzdW4GenfZQATa/G1pkM7PHdfWgaIZU76EX/Qh7t6WjD ftdBxf127QEM2RF6yfFQtrtgtbP7wJXZHhZey0U2i8kHuLpdLxy0pmtLKOKc7fZFdEW5pCKqMLKD 0T1vbL3Z2b/8y79UoSN4EFkeFhLArSuauqe290nM8f/rv/87lCW/eGm/+tWv/D4JWzic2/aw7tr0 5hfW7Y0MeIh7ire/x/uCR4Zom1LZ+2gG4uFKG/7W1iaDof3+d7/1dlkvbm9CfnezttVi6ZsLEsWE c2gvIZu8XG3s7tWXgWFB1ESmBDwHaWgmy4G7srX+oGX98cBOtvZU+2L9zp/JlizjZmO3tzfOC2OT Q1OMoue7OxrMfu2cJDwfwrFef+jzis8lmwMlw1GwIxvH2QXywsNSj7oAqUj+hBcGT5AKh2g0Op7A wVvb8vHBn/WLuzv79ttv/dmLaQ6t4cUXoRWGfMx2Gc8L/fPpVdAN3DuhH6Kh4xXieUoWCJvivJQ4 ykkeGbgRFAdSVZudtYcDxwp9k6RgHl4VPKotXled1a7C42KU+zTPdTqDpG3a0aAWIjFYMuuvhSzO 2P/Gc97uwvObzGY2GJLFXDlXkfcHhaXj7d8470URtewP+7ZcL+1p8eTctVl75nr86OLnyoI8PkTT abzK/piBs1M1qSl1yGQ39dnvge7vEbuQRi5hBZ6U9HaiHVQh81UXlNKipc5Q34P8FuoJuLuEGX7A bmitjxPnyXfG7cpaO3hgMRkGwxIiovPthiS8Krz5/WJr293Kxp1xtRtSb+fYwip2EDJIEleLz0Ge BPAymOti1WcAWNiU3FNl+ORa83moRPIz7316ePSuMcoqIuxGXR2ekYeS00lc2y6044f9yHBiXD1j tSGs7Nu4NbD+cOITfeda4WvPFtJmnVb0/shcowvadu02a3e6Lt7Tw9OjLedzG6PZ1aUt+8meVvPo 29cLnNGbrUKG7A98Iexce4+idjrI4BEhZg6OGVUPq/XcOhbaYXibTsbF82FykbApOJNAfnmUwjSr cL3iecXg/SpyDsimifcEtuUFwF6Mf/SN67jbOhkUb8YVazdbN1CU8Iy4ppLRFQTBeeBpMSo6CS3G DnS3eRtGaRIt39QlXN4Ir5WctsJekZQriMK7AxUPqLStY7P2jgUK65LCieZVfb1SHSsJh0aliDbN io5wAvdhbdFcQ8mJOnTS/dMz4XyVMdU1CpIBgzxS6lGENP//MNxg+c0IOYbwnIrOTsTPNc8qex7N G6vf56HXO25VPkckTleXLAaL36tgkxvNBBNulMM6SXcIQGVBzB+fYnHQUbiql6qJZ7xeXVuieWWE d9Li1nlnFzS7pTzsu9s7+/7N917mgrztb37zG5/IeFiEXi9u7/yzPTPFbpxahb968cI2u7WzzVEZ CLa214vYqIc3dbL2EU10dMt7rtdEwfHTAg9gU9Z00Zj3xMjJWkeFrcRmZn0wFA+Jt7ZbBTA7nYxs cDXzpAIt55mc2+PJprNr2x0DxAXEHg/bdtzHkumBuRxatj/T+mpjxzN67Vs7D7u+gYC5eK/DFhlQ Fj+GrmPbduiUyTutZX5zNqyhl/aRBRI0hnrn1oITdsT1MRSq5cSHME89R22I2oyEQwkn9dBuNvYN RpsS80vMd37nDVMLmK3r0vwT5QHMir+J/yYtsUtrIsLdD1Me8n3KhMp2rpAoiYvAfmtcMNdrChcW UM91ME8VIdzc3AZO3cha/jkbr+7HTu7ZBKsuKlp5xd/TRabX5PdlDk4uLhVArvdod5ZhyRX0me+k 8+I9oh/46/AWisaU4zilxk+TVQ9SWQl5ABnU03nlxq1gP+vN2r//4z/+ox/rH/7hHzzTtnhCBrjG CVTOgWH7xS9+Ydd31zYGf2ufXHyOqJkCXhmHI4Vxx43N3/3B7t/8wUazK7u5felcp/16bqtdaMq3 zwPrnvulHOXkjPNzFa5GXSRe5tdff+PhNl+EzJzj8ers3YFhyx9XK5sSdj+tvLLBxQcPLW+Si0fV 6bZdMGGPKsRubXZc22TQs/EA+Z+jUzyQ2xEA/fg4txn1iAjsqXlHwQvJfMnIVJSENC9izdYb34dC EnG76kxxLGBhTjTSlUelOdasQJBHzXFcWG8+959fvXoVpNdReJ+qtYS7pgy25o4MHe+T98U8ZfjP p2hIUSk0SBdftbYfWGP5PPM9kuHgs3MGrVOuM+ZvrWCrTVbXqfcowpDRqilBkdXtd+IaqnV8YfP+ U47mvOjicseQi1pXcz9/Z25k14RIowYqXhezsSZ+kZXBE4g0NdI13As8N59cdPwqXlFObzKU5ZLn JVBVVfS8H0PCrsailFyyXO4AfYNnhZehLB+vZ7f5lJ1E+MV//ud/en3YP/3TP3kzASb9V1//zCaj ie3WG+9xh2cYGle44hvr2BVEN+u0+9YDu+L8C3HTDePe7Pbqypabs+2WK9uuTrYjq9Xu2LDHwh/b mazYDukVinp7/t0XbUmFh+BeI3wAA2hTxxk0D2dpU2Bd3uOJCrKAGJ37N3bYr20IC/pqYIMO4fvW wy/XDe+RWcNO0ifvwfE6DDILAOzk9uom6tgG4eHKm/XGuomt/N7G1yiG/xAFgKHNKnhn22fegzKR 2gzlYenztDHxOs8IPj3537Jwo7JvUviQkfDOymW+qQSKIQ+vWYmRiaeO52a+WQLU83U2o5bmfWqW qvTKtcjD1jGVEMhVKLxGvQ65dq5BDoEkneJ8nhuqP2cvq5s5Mpd2whzfBqCeXudr5XlZit7PUNzf 5OHkeJvFl/WvNAmzno8MFhOFCcfDUAddBN0YMmbQyJ6HJ+H2k87GyPA7TdZ8TJ2/SK7aqZggdO7F 6HH8v//7v3dQWR13Fk+LAp7GMcFF/vCH33mt3Zvvv3PjRsEw5E4/jtMCQk7l0CZEoyEG0ikHz6Lt d6toazUY2Oz2pb199xS5uQMXVjhWro0VzWgdiEYBc7fz81ot5p6lPXZO/rNCKJIBvG65XNlqubRH Z/AfvXcgCqJAjKfd2Q5t9LZW3s4NwTvAb2gQcNKdUuJFuUFY5fO4j6tl1NEFC3sVWFApxHX88oKa h8J8jaaXoV1Thiqa9NqzkJOwTTQXfS7zgOcrLEpF2MKjOG+63AAHiBKgL+aPuErK5gp052dlWnVe fG4lO5yMbmSA6+hCBit7kvKsuK4P3Qd5q6JSdFJzVFEhMIwyuHyJRpR1sjhPrklhrrAscM3wBOvw /c/NUL3nYdUgugh8GhlcT2i9F6S+X4H+IfxKGRWH6y9gTA7fNmj4cm3jpgZOIVE4jJTInDwA6BHK 8MTn19IaAY4GgbQuJXrevSYbR02KbMD4GY8CQ/nNN9/45OVnQgfHSkg/n862wHNy7GNuo+HQvnxx Z1fXM089Z4OVrx3wer3d2rvHuX33+g00XntBVnDY8XIp9zBHQ1tvwuCcW9zLUmfmtA4WfTTBIAQj a4gOU1BUCJ/CsLsUX8Fc0D7fbzeRru+37cuXX9raNp7B3e8OdjjR0GHhzUxHg7G3p398eOcbA3WL HJOkgWN7d3fVxiAagOgh2niUgWpuDNW9PhYe1gcmq8iUuWBeRGWeAVC3jKU8KxU9a97Iu2A+gFXl zSqkV0JKhs+TUZNRdO+9kC0xWPKksnRLfqZVeNZo2R4db2qlV23CSOFURu3CPZLhzFysdnIAIqNW G3+VkDHEhZPEjzZ/DwWddzZ8tuSbx/9zHN0PpS7zbpEBOUb2xPJ1NbEITS4vH1AoIlWFwvmi/Vbe ITNvSpNFmJPwA9UpYryEZXX7oUeEZE1FRyi7s+NjxTipb1tWNs1YWYU5lH9jFDkX8A5NVI4jjE0s ZMB3mkis5o9O5twfwqODYnAqBpQ0vlf/HzDIB9vSCPSLL2393Tt7+7iw6axt05tbx7G2e+SSu05J ONnONtudHU/BbI/FFISPKCep8TboI86JgvQ6uyreRjTRkNEPPbC+3d3MvAkqXt1hu7IzvIrT1s7H tfWGSLQMXbnzDXSBVvCTvJpgGZ4IrdU2y7iP0pV3IB48qNQtkm5vhjqaK5+yKKrnVBRfGe4BlzAQ 2oTmjDxrGTDmytdff23//M//7NdPhheDBZ+Or9kszg0DzLNiU1JGWNUN/F0VApI+Vkiv8NfDwEJI zXiSEkVN46N15WshlfJdCotFtNZaaifdNhGEA2LR/M5rsz6eMEbOXWExBgs1jg+F4R9im/8pR7ei LVyIqxm1NS/pZx+xg0cXj3hIGCBGGKW9E9f4IjRwzSzfUaI2zCeYe/0H3+2w/kxuCf4z8TmHTDzE U5E7j0urHQO+EYaLrr9SFJXh1M6kyRsZpVpOWMXNnINztVLHXHlsL1++rBaAQg4+W2x4WnPhUXEO 0vPGy4IP86tf/NIeleXsdG0yxLCO7P7hwd69e7DH1c5+//j/eBnOr//P39qv/uKvvUPM948rZ6FD yt3u4b6hRhDlMxi9oycWom1ZpqVw37786utasRVNfifKxmJ/+/atjQD/4YzNpt5r8M3r19brnOxq PLARVJJTz46HtvcdxFi9fv2tky/nD4+FfBt1bZPZldeJwmIhvJKBrzpvl1BGC1dhFffa7912Y1+8 /MIW69CXqjaWJNYosUHRN8Q81ybDvV7Rg/J08jnB6wWee3fsbtf+/d//vQLo1SiDfzPfaHbqVQul 1Mz7TRaDpFBKXplCTGWpWfTSABMpWWvHI4dmVrSxplT+k+tmZYz0vqwVJQPZScC7lyNRAH4IvErX rjWl+6UEAWuHnonMg0g6fFFC6jgXnX8O3TO+eNlh+eM9sUt4Xv6exx/Nza8u0N4HVbN1zg/DdxtX VDSXdgH4F3bETfeuxaV8QK6w8AAZDLnUhDYV1yq1mqdYWNkRn+ypFb2MmSaj3Gz3+Ha7aLJZasjy Q5IBFLfF/43xoNkBSpe+0+1C5K4T7jjlIXDE4GdtkOIxtNuH1upB3DzYanuy+X5ji2/fmQ1n9uLu S+sORjZHEsfQUu/6Mbw0B1kbl0qOqgKKWP0hpWqPvgAAIABJREFUphboua6M+4s+vBj37q0eMLCx gEe9rs3f7kJD/WheDN2iTyGfjcE77O325sqTClFmNfayk2hkivzu0KaDAK7VCMObvmL8yw7NAsJT iYTEzr0VDMVv/xDdj++urp/hQfJmr6bTMLyl+7H0sBge2icYgc2BZ8bnCGRWTam8QhkENigMWzyb SYhRFlgiZ5TxVpkbeY4z1yLZEFGBXutGJEl7fyiz/VOGiKya961npSvmPLTcsSljXFqLWjfqmaDh nLLu+Pm6TYbozyEsfI84Wmf+GKVDzfO3fPTnqjbMcZNEc0g8HD9oEt/z4Ysu9HoGpXpcGQ4Vz+b0 NP/O9Wn6bIVs3V4Q+STHu6Hxp9crFt5OYS0rjtdkzkXMOpY0hJ6Bpqm4VKJu7oUVqRPneyGdvF1H s07UEeC+XF/Z6Xj2rs54YwjgDcYz62/NTvOTvfjiG7tq9e2/f/dbG45vrD+a2PHcscX9o3ekBuPo F6rGaBjXT+fnfQs2uNQPBk4yRZXAawH1cFpmy1Wd9eK8nIFN/eRibqvjxvrdtnfCGXgtMpSL0AGj px/hKHIt0Ch47k7AbLOL05OR4ueZjXpxTrQra4Y+MpK8T5wlLRot/OXjU4UV8XxdxdU98Livk8LY 9snqG1h4GhiwXNnAyAXKyu5idLICqrcFK2260BjD0KFwIE9O80ecJVj0OfMmMT9ekzfKnETQz02c 91JYnAUNLxm1SuI4JabaWRCxeGLy/rLoXZZMUkKE1yp8z+eRDVT+9081tP+DoPsf/4HZ9a2sc+kf lbGwbHwirf1cMriJf+UMjnAtPaTMu1GhND+LC8MCkrvtnJpWKxo6lPBCE9hvQsLHtNvLE8vno50u Tx70iMgQQk9buirozltQ0VyUhp+oGgCCn9YHW2721j51bdiLrjjn9sC7Ir/66isj8pvNbtyw3T9+ b0+PCy/lodHCydtXdV3DnELt437hRmTnPQILhnLoJzKhCtJRnAwJaCR1RoOuzUZDD/Hu7+f2dP/a Xs761qU0xz1SPAwZtpAg3kBEXW88eQG3y5t2tAGLi2hf1fyjXqRukIoXqo1HdXkYEsLsV199Gc+m NPfQs2Uo5NfCi4LrEmqdS1cbFZqfI6mDUVRJjeYZRqUK0RJ3T1ieU0/YqCgkLxui4AE+A2NGqI/x 0gJXMieHqT5/E7VCHu8zTPfCulckktdN8+8yVrlw/FjNv7roWetD5FetM3leypgynCxbNpGaQfn8 uH8uBqs5UpaQQZq0/WmelrfQDn4OJMbovFKXGWRXlEzPfhu7E8Pd87JjhbUPVYZspASEZ/BPO4t+ L8+h6QorbGNxoNsd2cjnyp9qMqBJzMNkp+Z90seSe8/Ik0mYg3s9jgnhWdUifX5O1Middq7JdDi2 7GG+su/ePtixvbKbXdtO8NMGU3u4X9jdK/Txrx2zAtB+vH8IILtLc+ONtY6EmWatw85au4V19ks7 QfrcmJ27ITCHuoKH1YOhUzgYEfaMQzrIZYKKcUYaZjS242Zo2/Xc2seW93jEUHX6VA20XZEDL3hF GOTPLRZkF7VWJIboT+nqloEV4ZWFYQj+mxYuC8M3A5rGFiNGdvHu1cvAcUoyJtMiFEb5M17He5Sk kUchlQtqI4V5Km2fm5fyeZLZJnTEAMlzRmbYva6zOoJHgkhQA195zshgaBNU9lDzMr9G16B5fElX rqy4ekm9R9KuNc/zZ56qjHhNdxDckSk9Mlg5A6lIRkbMmyU3xscwpP/t0TyHP9rDugTE5b9p11HR KMONkBucjXOGmqlaDRkvPYCs1hlM6wBsZcBkxPibhPz4uzCVLA/i2a6S7WPwb2mfC3MRDSK7zJog +gpvEb7ZstK8EnaGGgMlM1AS1tudzQGIqY8bH216NbWru6md5jQQONuwP/LZOyYkoglov2MbKBK0 8KK112lv29XStotHO+2evCHEfLOwm6/+2o6uwlmHYXom2lUpavbdt3DoIIxCDIVtf963XNWhB/dr 2vNiaRxGavewcJ7ib2GM8OCg6rPhRGs0HmOIONaF4wgjyqOVl6ryGRkOZbu8kzd6UEkeRd7vrjR9 AF/yv3e6RfgxsoYZoGfIgEi7n2eBcdJmBHZGWRXHoJ5SGWBvOlHavusc+CyMFaEkxlUbkcJGefjZ 23JSb1b2xKtOIeElY3RpQTY9rebcaxUnIF5L+F/fz8wR0/H0OwH9Wh/RSMasO5bQ3/No4s/BWDGq DkU/2WAVz0rjU8A5LXLVeDE04VwBsf1cKynffIGnMkYehg2HlUdEertKESeZW76idjBCBpce9jR0 CAMylLnKFfhZREyAZz4nXW/FpcJz6bQrFv2Uur6y2FDi9MJUjFRvZNc3L+3cHdp4dmX90ZUN2igX LG27XvnCg/TpsjXzJ1deuP/+Wxt99UXdYms9t/NmbuP20YmhczhX58AuwK+UBAjiY6S916ulTUfD 4EltVq6JRQExihiYudnVzPZbs2Hp3zgadv18VuugMgDG07UnDHuE8YMesjtM9HiWejZhhMKTZgHL 6/UEx3BUJTjkvfpmRPfnVC+q38sTAPfLlQ9kxDSX1KQE4+JseyVcijQ0z/dnP/uZ/xsaA/cFA8WX NMJibtYbokIwRk7QiNsnXEh4lwyBJynKhuHn6xUJKQOf1kJeF+dPMFZNAL1T9fGMDucZKqmY9qkO VwZWmUOdJ8TRmN/P+xLoXP4chpwGDQCWSqL441IR5TVSZdBI9YTVr0pxp26UH6hdGyyfxOVEMDpK K8ubyqGfynC082VDws/I/WqHyBkZKZZS7yYZWaVwlf1rqguICKkbpaxPk5Wt63UlCtzyc7eq2Eer qI3w4P5kwx5NHg62OXSt1R/b9ejWesOZWX9ohxPSJ2frjyd+jWBekDoHPag5W3t5PXS2+fL+D9ab Etbt7bx9tEGbbsZja7WH1l8dbbNfW3924zWL20OtH0+HXwzd+PrKxtAV9nv7bn5v37/+vev3v3xx a3cvbq133tvqvLcWdWmor5rZ02Jpj0/vvNs3WOAQkqrLkHiFlQ36dd0gcjEwxl3rPRX2Oo7TZ4H3 q9BbWKEv8nbHDhXLG68PfXaka0iUbO0gxc9+eY93uQ4PO7AXJV3mNp8/eY9FQHQGhih0rII2wCMl 6wfvCiFH6bPxvOFgtWhvV7xReeC5LlLJgKwuIgPtNZ148myaIrnSNNVya7O0XGR8qsRRZcoqhZT8 nQ0iyuWis3XgvnWISOsuNUXROpFRbRKiHdtNRdz+Ok/cxOdLD69ezzqn5+V7tZ0IwYQ/bnyc56Ua YA0I1dVBUwlzdR6R4FMpznP2bnxieYgWEwkwGGBY2BCTJsTMINfR045FRXfjjvVPQ7P547OJqF52 2TVXyyqlmV0Ct4R8Uv9UOQJgtZeMXM2qndq7txSOivAVjsHunN1nTbCsiyUwXu69vAbdNZjgCMP1 yP4N+nY/X9hVd2jD6a3NDx17/biwU6tvnUF4VZBBV9u9A/LtIhM8e3Fr8zV4ycH+8z/+1WZDs1ez NjbK7t/c2+70YNezmb362W1FDTgfz/bi9oV9t23bfA5Hqms9eE6Dti92+GmD6cT6HGO7s17nbF/c Tax3vrXjiRKbnX377aP99V/+2ja7vb1++9pJq53+wFb7k7V7Q1sUcbvzcmGt/sBuyIxN6MVIryUW qUuCut6ZT23PJob34VSOY8wL1h61lgy0yNi8DhA0XS4HMUUKSs3WO6Ra9q53RpjrYWwbkmju0KwF 3zWqslx+er0ITtS459SMxfLJF/fLVzceqt/eXfs9o8j517/+lRupN9+/s/VmWZFTRbtg4IEpjGTO 8DOLXZnHqhzHDVbICjGXMM7cd4z/zeTmWTjz3rKWB6PGsUheMx38xbERutRSbxhKKq7ZeCp69nTC Diko5ly19FO39Ext0HzlHmGka9gknAGOYe1BdKGuVQx8frrAYHXOjWtwFdhabK+ZbczH/tAgQml6 kDUlqll9U4WEPyD1UXlN5d/pPadjXc7iHozVpREOsrpSZa2GSQ943Uwsu4cJpeeewjKxe8EYMD4y RpmdzqJQtb2HAaV7iTwnJrJCOw89q7R1ZIFURJoByUs3OYebGWdzI304eldkRclocLXbLFaus2+7 IwhMz878rtV1gT4WHK3BHPshvJ2gcnm0w3Fjh/Xcep2jjSd9Wz1+b4ft0l5ej2046NiUBpjIN89h 88+d4T1iZ12TsSMCOXmZEv0D8XZgrj9ul9b31sd7V2kgDDzsl84Tm0xGnu3jUrt8FqzuVtueliub Lxf+N3hfeFkYH1E46pAkQPlIlJTaUJ8WsYj99TyPEm6pjVc0SE3ywHhVNJItlAc8Jr4r/AJXzG3u VeQbGbHQxHf+1/h5R6X9ISADFTijecXnzRePQVs5B1VE3Co906w6IQ8/Y2SZs0d7MYq+8SQl0ken bmFFquf7pOGeA0XjReNKunKlQYWLZ6aOOpKDamJP+p6NVcazqnVY/ibKCDxCPrOmDAEYRKOVjw0Z 0ahJDK8sR5Mf1qnQOb/fyr757x+FYX3oQ6obYnVvQQ+v2kExgI293ER5Bn8fMOGSsVKIgHQJ5TnZ i2EIWFVKOjPWGRgyZ1gfw1tCl9snSDckZ5ab0K6GK+RGzswnL+3pVXOWU885I5nPUa52xg80YdEY PxZNeV+46I/3wiXHbT9sdwFg9zoe2riY5mnnAHq01aL1PA1RN3bcre3p3fc27rXsmuYb83eurnfz 8y8deCcLh3qklAMwWC5lskTR0lsWOFpGUxHPWnY73mAU40SWj7AVG4EH0x0NHGuDKvB4/9ZfP4OT 1jIvjIZLhscIwRQpYbxT7Zp1uVNsEIRCimrcUMHIPyvsR+0BGsVz+SEPscvPNLTlmtR+TBLHeiah Ex8s/qyIEF5ChO7atDRnZHTkbYgkKqCd9yoBIKhA9AQZGG1SKqQWvqW/+/kV4ygahAQjhWH+GOD6 0ms195q/az3zYN6XpmkarvyeCnMrG/t8vngWrut1WgM/5CFdSrY1//Yp72+OvOZ+ssG6+PvWcw9E 2TcMVmbfKruR6/aC5FZn/rSrahdgIrIDMnJWTqROB9W3uyj32EYYyu+DB7QtbnpMNmFaIp8qlZ6v J+MAull5gjbT1yg+gre4kF6JxYXPsGr37F40F3DFzF0w1A9Hax1glCOW2DLbt6xzPtigRWi5sNnV yK7GN3Zctuz67sa9COF7LnWyhXUO5hZ9CGfTtj1tDnamJtO7Bptn/U7HrZNCMTq79aPtOU/C8tPR RjRRHY/o2WW//f73fp/orOM9KY2M5cDanfBiXZ7aN5xu8LMcP8Kb2zowP+j0rNeJ+051gS9s3PzS dPe97FghGKfIo9qIZFyEsYgXJyOmagi+8zNgupOMh7EARUvRZpbT/fLQyBwylF0MHGxZAfnZYMmT 15zL2UxfPMgUA1eU7k6e9SzHkXLCJVpM/jkD7ZfoBBX80CB2MsLoXDZYGddtGixGlmzKXlj+HP37 pxjbZjj6sSFdvfzeDMn86CzhpdSrvnpdcIOocSLTxOS6v3/w3cdrwhCF82YRcGf27nUoPczDnZfM WCbbibmbWejN7FzVyaTwj/L7GbyH48tAygDq82XwtBPKS8rH0STWIlImSuoQRFvIywB66hiRMeJB 0e59awcqnP3JQXK0kKTFEwNERdKlhVdo1m8drW97O+5bdtqtbUAS4PbawWa6uyC2p9ClknK2o4eK 909vbH2KMImDIJO8eLi3m6upHTYYwpUd1ytr0/rpDGaB5rjZsN+22QRCKZm/lh32yPNsbTrGY9i7 wWtbx8Oe6WjsNZMRbkVanI2pN5mZ9QbW6fX9PI/o/7vGPY013jdYfp9LEwufQyWszN5AJqDm9+qZ 5KSM86hQQ03NFsT45u9ZVK/eJGuuX6a65HkkNrgWnLx8wQ4+D0rz2uydyCuRIcgwwiWDlOfdpZ8/ ZDBan+i95Yx7k2ahjSHf17y+P+U4lwxpvo4fMnjFn0vn9VxEofn2HzRY+WQunYQ8jkzeZCJjsDwV XgpvhSutaY5QWMjqqitgnJEnkcTY9LnK6Om9Xohqy6pgOVtlFD7dIM5LY4J07nqN2ojl3SfH+9kz zIWo8uQce2ISkCQ7E7ZEIazrrtMPp2Stel4DSGdn3n+2vi9I7sne1g+PtqcDTPtsI9ih27Xdv3nt pNHNcmHtUSw2Vwd1zhMhGo2/Qs98S6v21cLOna21jkP32ty7oslmH+XLk01GPVeNIIYa97sGjXaz Xrqn9PVXXzpOgZf4cD93wBsgF+12Qj0oG3hcKmtCm39bQjcpverL3bvUAi4L6Smr18wm859q8prZ XnG1xD5nCOvkNeCf2ZDJePDd51oJLVWKI0pFnmfBR6o1tnI1RsZ8hEfJ83KYI4WpmQulcxKxtLmY 88/ZOF1acx9b8OcP8KUufV4O70QdcfpJytxeej7NLOeHjnXJqfmU8SHDnCOen2Sw8oln4yXgmuGL Gu+JXYzuMdtw6f29JRwSBiUjlykD+jztZCq7URmEXHTVeenYhAboqfvFQYZj0o5CfSHjVIGJ1btJ npjN2F3XmctxZKwyg5jQLLgiJaR14wrWMbBrb0LB5O55k0/q4Pw6Lbw8avIWD4+eDgf0fHkzsSP6 5buVDboje7h/Z5v1MHCR0v9PI9Lwa1svDzbqsDm0vTUXKTlkjXtHCofpqny2lzdXtl6xgJY2m47d OG7WUTSOV0SnbjIHsN7J2lzNxh5i8rzAmESQ5Lo36wDHq3tLxo8Gp3SHceMcrevlqQhcB7WqkasA kwFsN5vwGnVNHEM8uaxkkMFr1W6yYbgsdasuh5HxUjZVz0wbmlQbfFNN3bl1zFxkrBA0Qxjy1qTJ RkcgDJMIpNpkdZwfMz7F+JybJXAfeE9e8JqvObzUWqPN3Ye8qk/x4j4GGX3IoP7QNeffNz//k0PC prunoZCNIeDcQ61WNEpVlq+Vwr66bXzUPsl4XLKyKt/Rjs1EYHJxTHU0AT9AuM4nJz1eyuujXnDy rAYLD0fnm7M+2Zo3wUuN7DqHsYwaPWEblXH2NlUUyA49ZCUm9vZkpcsuHYA2ZPLOOxvR8+9wtO65 bd98+cqzZk/372w6Gdt3333nUiB4EqPxxDGibECR7Om0jnZ7PXVwG3IkTHPuOaqhi4d3gd19/ZWH gTS/oM4x6vH2NhuPvG0ZeNPt9cyNFWGuSwMn4Nm9uhbkVXPWPm2m/Bn2Bq7SQAMGKA14aQLAszJH 3NT3a9T4UuEyRlClMALIMTLCgTKL3ZMKXnq1ijlXMn55U5FHIToMm5qMrEjH+TwUQmpTlLcmKgzf VTCva3Re02HvXyKZCmvjmLm642Nr69Ki/9hCP39AB78Ja8goZYP1nofb+MqfdcnD+aFzyp/7Q9fR vNZLBvOjHtYly5rVPDOLXB902K29mNUVGx/e+UL1FlaLMCb0FgTTQc+p22vbzfWs2rFZnCLkibYg cFyStlGOUWNOfGnH9IW7j/ozkfYmpY6MlDMZHoyZQgpuiNLgCjX1+3yzmnF/eFJ1yKDyEZUHsdNS C6gw1m/0+RBhF6FfuecA1gN1ZtmHaN6g07Jvvvrau9T84ff/ZXfXN3Z3e1POOzA238GHRXeps3Gk OkKQlt3dzjzU/Pb3v7fF05NnRZeP9/5v+E1069ltCcOjnnDx9GgvX9HlZ2Z7MCvIXkezp4cHGw56 TjYlFI3WUWB2A7u+uvVrf3N/7wYrNpuhe1L0aoTVgFHr9wGtoQS0o9ehi8GXnbaA7UG9otXZzmWk M9AuI5O702jTU6G6SJwYN1j7ocQR2GktIqhz7PvchBohQFzVEjJMvF76WRCK83Pn2fIeNg3PpM5m FY6o7jPMOzA+nbs205wsygagifkosdCsE2wanuaCPn/Aw2qC1NnT0boRv8znZMLhckjcPNcPjSZY /yEjlM8l/x4Z7vh3fMW/az5Wk6je/SFr2eRx5JsvUFO4FQ+QTrg8NBYctVh0wpXImRuHIolbWfwi HStMgN9lCZKMhyhcVEW+72aFiyIjFNSFqT0u5hVIrgcV11F7U7kEJOMm2SjLU5ChkqemnVeGT58h jxFfTx5it5QeUf9Hls85Olsql/c2GQ89S+hhIQJ9+50dilQO3pLjcdMwuIt1lClNplN7dffCJWVW JDEII/frQmswO/bbjp9hsLi9KIx2231bt4Kk6Z2zCcpOewf2V+u1rVcrZ00fumHEI2OGccDb6USX 51bH+nxWf+hGCUNFkgr+FgYJNjxfLREcCzyQhfwyoO6UhU7bNsvAIXM4J5wIoqOMQNVSC4Lw05PP L3GvsrCiME1hV03PIkMAMoQ5G5g9jpxezxudb5YYrsnY8bucKGrSZT42LhmFH+uhfGzk62jCHRmn zevhQ+HYHzuy3dAx8vpqJgUuje7H3LqmS9YMnYIlGxMGvAopEoBaF98j/k+SsYRG2XvB89iVxgb5 5MRil7HIlfeVV5WklvVadnZeF97OzA0DRvTmpuiOVzetFhIUd0YGL/NQtACaErd6Xw4ldC8c1C2d jCsD5+UVwV6WF+m/b8PSHzkFAhyJeAtaAlgcRhwDADYE3gUuBA6mwuJZad2uDi8QLzF0AP1kZakv pA6QTs3DHnI2NBsw27djJ1emk8a1nAN9E8HDPLwaT20wnthoUjzhEWVAXZd1RnyQbGC3V7onewUD 95amGtFazQ0/N9uzf8+lg2JSxuImhMcLAfPcF+8n14gqrMqAe07Bc481J5D00fwUQ53ND2Kx15GW +y7PTTQXeew5E51DJ22WwrFybaDPxYS9yWBlsD7jYZewp0sYTzaWf6yx0miGfJk8mmkcOZL43Odw CVLSPc7rPxvVS0ar0nRvGqp8oU2rm9O20KwV3/MzUsaewZnNvGmD3HcmkUumFAE15EIcp0DYrky4 LFYm0f+8K+tma4iPw9DkyzuliHxBAZDURy3HoZ1S15TBeP0uP2AtdL3fcQ/YkeWzY3d9LkeShQs1 qeN8I7TZ0N5rH2GB69I/PbnMDF4iiQO8ELzFvSu0BtjsChCFGY6XBUmVcK7lSqIREnk350SzOJ9Q EY1zIZSMBRj4CwoICsmczDuKrkLeVv6EGaQjd1AR2i34VubNWAlFnWbvVGfucdsNGIRUL6+gQ3Ty rBjZePC3+dOTXU2mVUcaETulOqvNpTkvHW4YjZ4B63qW3sa9yATLS9fGmReBDExO6WstaKOSDLKy ojJEocYR3C8qArKhai7GSwuvGbXk9ZZ//lwGg5GNsOa/IJ9ssHJ09TmO34Sa8vesLfcpWF73Y95V /ltexJlxDCbz9Pjg6fXhaOCV/qgNAO5eXUFGbNvDbmcPD/f+nhtE9DptrxVjh87GQhiEwHV2WCYG npLoD5n5nmsFlTnULqvdVJ9LXVQokIaBUaZHsXwmv14CM3MYod+5BziZuoewQ7eqUDjyYBHzRSxO wat/ceN7RfWxlLX4Tgfh82lua3TirWXD0cR6Q1jghJGBy4h/hifVmlBEHZOK4mlCuMmQIuqlG6lg 15dsULtWXHUcgw5ED2+9UJeSoihU7trs6sqGY7KSfcS2XBanM3C9CWt1Bt4z0RMHKKHSIozQkkmH d1LUV/0VLIwObcs2XjvYLVnOddEpA1ODP3XYx0bDkOoCxgs8STLZet5Vy7JKuXQdelQFtuHz+Vl6 ZvyMYiifl9vXazPLlBY9T23OtfcW5WIydiqA9k2akP94cFVZlQ9lDEnGrTkuGaVL4PfnMBbtRgdu HTPzxJph8KeGs58ymtfQNFoQr9/3vj58XPewPuRdNb/LEmcVRFx6dkWVP7RuAswU8AhmJfA8p5gd x3DXPLIrGYfS69TBRBNW1l9GU8dU9sYxstKZRsL72UuKCXt6b7fJ3pR2FXlIOXukB63sj3skGMiE b+l+NcOBqJWtG4A6RrU/2nAytU4/fofXAk0CYuZ6s/Fr+vKrr9xr3ZTwT59BsbMvruIpBV7nHQyr Z5SfG6Ed9XT8DFj99u0bmy/n9vLLl4ExdjCCKG4SChICoeMVPDM69SCN3Bt0rO11cyHACNi8WCFx UyjrMs5ec1iMf6gr+1BSQnQFB9AHYycTw0DHCHHN6FXxXPNzznCAWPEyMmwG8ti04Ym6oDkrXFQA t9RndY9kjLJCh7BZAdPaWCX+yN0Ge9Tvm9hVc5O7NDJO1jRWlzbPnzL0OU0QPxuPZhT1OfGrprHM I+Nm+Tw/ZLS7P+RdZevb5HLooeph+WIsE4Yvr6RfRP0bYnFKCetBDnxidDwkkqejXZWhdkpZAkY7 nH6eTaZhGFMpgAyWa5Dn8Ky8J9+cvHsy9PtLAGXG4LSTRjgVuFTOMGlnpage+WE3wt2eDRKfSnVw ANWhOrC1DnIs+4MXIaOcEMoToSPlfRg3iA6iijFyxQQ8pN1mY4vHJ/fWRn28zOelTAxeNwC4R5ju 6dEXr1pZ9fZdO+wIj7puPP0DuEaeUYvnOrATigne87FXxAK5vujmrftWHZOMbVnI8SwDv5NX49df phj3SR40hpOSGg9HS6jimuup91/2AoQtrRA2LJub914sxl3XKElk108rQoL6EqdMz1zH4P1K7igR wGtFqWA43NALLCxz8zJud8lgNT2s5r/zPLvkof2UkYmhlwxkDmc/p8G6hNHl7/m8PvTaPNwyODvo Izc3G6tnByrytmp4Klli4UmSvHVQnHCvYExWAHnXUsItPMRuqJ1XLj3/JqUsKoKKTLP6Y38wstOc gt2D9Xt1o4hQwgwAMVty9M4zcz7TGnTT8gTWTc/en97P76VGkXfnOiOJsku0odICyx6jFrGHaJBf V6uywJEG3th+unfPg/fkHo2eCb2+cR4SoeXDKfrpCcOL7FjdZEPPEeIqixCjNej17euvv3GZn84W 3hVhGtpORaSP5EGn56Ee3tzOayIL7nASr7UDAAAKwUlEQVTiHmOk99YiM4anicfVblkffAxsy8tu 8LY7z661SuKcoH6YvX3zxo67UA6lS7YyezwDzSEZCIX7SMYQIoMX0qTCQ/1Nff3KDKp7joB7jLO8 Mil/OC+rqKoCUWg9sAk8PD05FkuZEedw//joEAj3hOMQahJKY7QYot9ow/3Qom86BB96zecICU8p y3nJi6Liogl5fG7v6lK0pu850fWh0DiPLoWtZJAI3XK3Wi3MdQE1eejOHn588gfFz4QqD/dPdihc ksCg6NFH3717n3xff/PNs/IbsoXemPJsnhJm8bCQMVLspuyCDjj3+/4zu5payyvDU5XrHPHCdjaa zqzjrb3MtZ0IrUbDiQPG+x0Ey1rCt9WCj1Skk73NfV3wDBgdYWKUziCbwhfETjXTxAMIZQCMUhhx hO9CSyi07Y/no602sSNLLJDzUecYvxf9yBD+/nf/r5/bm+++de9mOrmzsw1scDW0yTgSBvydrGd3 1XePLQDwlt3cvnB8a7HA2IeHJOyO7B84kZjqnDPGin6I3U7f7l68skE/ai1HvalNBleRMcUgDkdO R6B/Ym/I5jP0lvZHsLRtSKpQZzh/erAJuBqhHSU/CLSftm7QAjJA1ynur5Iu3tp+tfIaUjeo1rFf /vqXVYaQoa7er1+/Lly0IoFSqgigY7jXdtjb0wPaXsH7enF7V3W64dmK4+SGjvtSOH6cy+rx0fv0 9YdjG+4PdkQDrIvx6dtuu7H98ey9IfEkH+dP1h307MWrF76xkMGdXs/s3IrWa/L8LxmHH/SQSga7 Wppl8XrJl4yZDFerGJTyUo/Ezx/Gh8IoqKIkCxDEF3O7/l3dzCWHaLnOshlSfoph+9hr4jxrOZr6 tRxPG+3z93RVKO2pdP5d5CqEUQnD0UVJVI/B39mB8s6p7+IqqQ0XALoA31z1jgGQVyTcC8a2MCKB mZfKZEbDkT0ultZp98oXkUjLFyQTF8OqUKJJT6goGhdC4BxCKsxQmJC9Ik/7p75xuaRIHiFDxl8Z L4VG8LL87955HjyKY559F2efxyBcXd9GdrJ0AcKzcMO839n6Yeu1mfIsdH8zliK+moyysl5gVRg4 gdMcG/bY0du1RvE27a+Wb5d2PB9sPLn2rJ/rYKLY2TIbDwc2dZE9aCoH22/C+31WoF3urzwnFU0L CwSvck+1AOC8XhpVyvIJm3Jc63xwgb7dPkK5ST+6Fw+uem7J+UwJQDKYf5JmFv9LREmO9+7+sZoj bGznfrSZYwTuFaRSZJR9zqkdWVF7EJFZ15mfc4YJ/lSjm7J+TVqIsvIfG5/L0/tco5tPJm5ujd8I D/IHahiCwKEU57vLvgkgk6EHpBbfDHZJeUR6jbyAqsSkpOvxRurzqOVRM19KhE2B7GTUMFB5keZR 8b4uUDN8d0n1hAydkyZxBsr196yQKuIiQ6GMwlV1c8nhogy5G+nNyvWnToPQcsrHgy/mJUerlV9n NrQCi/kcPFKMvhjbwsWEtXiZTSlW1v0QlqisWpx/SPySkwgWfXyfPy39vf1B0Bww8Bt/FnVaHKxL m5o2L5F2da3a+ERDUeZulJjmnNNud67KaCCNIhgtLpQbsF28X89H+KZKYWCLcX0ch2v7/bd/8GPd FsOo+yMslPsrg6/PzaVm9bn1K6MpCIRjqDxMxkpYrj7rTz06jY7Omp/ZW2oC8hlL+xRc6X9zdJtc Ed34DDxrEctICCPAiKlTjLwvLWTtaEwkLYrMZdHOD0bDBFColaVm+Gwt8kzslMcUZRqQM+sMTTYu KtfQdTGaD4ilmr0BeVc6hhZbPr4+X9paWc/J0uf9f82dW0/bQBCFHeJCVEIu0Aek/v+/V1pITQgh qc7MfvZh5bRPNKyEkjjGjndn53LmNrXyODUgT2iIrgX2EY0iStqPGpiG6VnOj9i2CPMYgh9hCvo/ 1gWGgcZF23fmu++EXe7de9qKaRwMNH7zJDSd0AQfHyPEYb5aNo1aeymIdKLE4Mw+qGOQCD9gjsV4 YaK6NvWqYi6KRgp++faWbe3x7KlOFxgmc5cmb9Y2e42Qj2TMgfGpZk/TBCOhVyH9ESUQdRy61j2J okeoJIjf9c/O+pHDCtNCK3wqnXlIiq7juf41/sf2v6j2uO/1mgGxBzylyF99jP3/R49WSa3CHJRI Gzk8EJ9w04tjczNfFkYj6ZnSSeBt1K42Gz3y47quZ0gQmHK5NDyoT9+JcKLKQiFmTCXAUr1X8q8I WwNmBlERU3Q4PEUogwaR7qjjYx6Y2vtXa1hsYhiW57jpmHeO1uetUlqKiedaF4vpkfDcEwaokpxX l4uoDKpztRE2XRcpJ+v1bQ+a69oKIpWm8FyqJdAuXfOja3F/XR8NFnc8lQik7SqvTgOtQlhJMPuS YEyrM+F4KpUsM2nfbZrdy6E5TgVyL0vN9jbqs1+U+YFZ8ook13rAuFh7GL3uNTNHRK5NriOdoQX4 Q1MwW7TXMDOvtuGY6Z0gu0z5keap80R/CFDMUor46bkXy9u+qml2V3rpsdPU8FP7X62WfdE/1pON Tado1hpaR9CccxzMcwl91MD2GBjv+4Djn2FEHNaYO5UgSL7DVQz4Tt1tNx9hFJ5T5Q/qxCrmRvwW BE/9bMwF/R4SopHCSDMYR+QY7ofJxXzCDELqvQciTQWu8pc4z9V8Z2Co+45X8echD2BueK08kpj4 MOX+ve665rUqG8Pm1nUefqYHcFECP6fTYX61SZR2g+aEmeRacR8dX56HGkhoozybzDoCU1N7Vc7g l2b7vIsqEeHhLKWuFYSriHZtxfAOF1yKVmfclzgmNBQYMCB84JtFUw4HT+QTZk8AhKHwTA3in0hs RqP5XTRb6v8j7MhfnS+SkUBjCEa9yuQkit3njvPSS5kMSdoZ1RuYW7y2jl25yeUesJPjgxnBcSST xa0Ip3m+P2US1kzrLBqWayKhFivFIoIaU1JuSl6WanvHQqmTsTxxBSRVy3DHfDRCIyiSHQKrzUYn ECbN+wDqvbQHzCXdQ0QJISFxRUwBlpo2M8aYXFX349qEbGZfPF/YwWzKQUgEDNOPe8Cpa1qYlp6X tt9tm03RGmA4GvJe3d19i82qZ3bQH0+aNmxUDNhkt2PMUTdbs/P1TW9KocF6mZ94VSjCpAktbl2S jdVhRmbRw49fkf5zNZs31zfZ3lzemSxAqI45yQTBFnkG1lr3lZYD9ok5C1zgISbJTId8VbxUHq5A qo2G3tPJGc3rsk3A3AvqaQ4EypFgDf6EdQDd+doheFp1QCq5rNAFOKae2QUYWnQNAZxzTKpSM15h 1RnO35hWbamcE4RvWTQmGSJhQYj7UWtzGo+iHYXK3g7Apx6G5FPMkQhMtFpBYBv6TCkQpL0+k20P E6HVOd4lvGCpWQ3xOQzU9DqK+dREO8OpFw3ChPjHgEtP+YAh8BvBwBzkrGN0gsGUluphhsxmveSX qaM+hxFGUkrl4GEDvPdcOv9NWeInGwzArGB2/Ga14brWZlfHof1g1iJcWIuv7by5bIe6ZT2xF5zQ sR5MUu6v2CrwSWgGZiGGhUnNd8LO0NY1B1p/cDiaVeAwgEECuEfsXpvMS0xGzExhBwFLWAVQXVf3 Cw/iKj2QWAesHetMZ/Kajrj/9/v7d5gtdITAO7eHbWoCDIbluOoYhuXHXIB/hvEHc+BVMIo3tdEA AAAASUVORK5CYII=