20240917 10474900 1.0 FALSE alloc_six_minute_ladder 002 file://\\SMB-8a91.iaff.org\ArcGIS\Projects\Districts\06\KamloopsBC\kamloops_bc\kamloops_bc.gdb Local Area Network Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_Web_Mercator_Auxiliary_Sphere <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>41943040000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>4.7683715820312502e-11</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> ExportFeatures "Service Area - Allocation\Lines" P:\Districts\06\KamloopsBC\kamloops_bc\kamloops_bc.gdb\rec_total_coverage # NOT_USE_ALIAS "FacilityID "FacilityID" true true true 4 Long 0 0,First,#,Service Area - Allocation\Lines,FacilityID,-1,-1;SourceID "SourceID" true true true 4 Long 0 0,First,#,Service Area - Allocation\Lines,SourceID,-1,-1;SourceOID "SourceOID" true true true 4 Long 0 0,First,#,Service Area - Allocation\Lines,SourceOID,-1,-1;FromPosition "FromPosition" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,FromPosition,-1,-1;ToPosition "ToPosition" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,ToPosition,-1,-1;FromCumul_Minutes "FromCumul_Minutes" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,FromCumul_Minutes,-1,-1;FromCumul_TravelTime "FromCumul_TravelTime" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,FromCumul_TravelTime,-1,-1;FromCumul_Miles "FromCumul_Miles" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,FromCumul_Miles,-1,-1;FromCumul_Kilometers "FromCumul_Kilometers" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,FromCumul_Kilometers,-1,-1;FromCumul_TimeAt1KPH "FromCumul_TimeAt1KPH" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,FromCumul_TimeAt1KPH,-1,-1;FromCumul_WalkTime "FromCumul_WalkTime" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,FromCumul_WalkTime,-1,-1;FromCumul_TruckMinutes "FromCumul_TruckMinutes" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,FromCumul_TruckMinutes,-1,-1;FromCumul_TruckTravelTime "FromCumul_TruckTravelTime" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,FromCumul_TruckTravelTime,-1,-1;ToCumul_Minutes "ToCumul_Minutes" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,ToCumul_Minutes,-1,-1;ToCumul_TravelTime "ToCumul_TravelTime" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,ToCumul_TravelTime,-1,-1;ToCumul_Miles "ToCumul_Miles" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,ToCumul_Miles,-1,-1;ToCumul_Kilometers "ToCumul_Kilometers" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,ToCumul_Kilometers,-1,-1;ToCumul_TimeAt1KPH "ToCumul_TimeAt1KPH" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,ToCumul_TimeAt1KPH,-1,-1;ToCumul_WalkTime "ToCumul_WalkTime" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,ToCumul_WalkTime,-1,-1;ToCumul_TruckMinutes "ToCumul_TruckMinutes" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,ToCumul_TruckMinutes,-1,-1;ToCumul_TruckTravelTime "ToCumul_TruckTravelTime" true true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,ToCumul_TruckTravelTime,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Service Area - Allocation\Lines,Shape_Length,-1,-1" # ExportFeatures rec_total_coverage P:\Districts\06\KamloopsBC\kamloops_bc\kamloops_bc.gdb\alloc_six_minute # NOT_USE_ALIAS "FacilityID "FacilityID" true true false 4 Long 0 0,First,#,rec_total_coverage,FacilityID,-1,-1;SourceID "SourceID" true true false 4 Long 0 0,First,#,rec_total_coverage,SourceID,-1,-1;SourceOID "SourceOID" true true false 4 Long 0 0,First,#,rec_total_coverage,SourceOID,-1,-1;FromPosition "FromPosition" true true false 8 Double 0 0,First,#,rec_total_coverage,FromPosition,-1,-1;ToPosition "ToPosition" true true false 8 Double 0 0,First,#,rec_total_coverage,ToPosition,-1,-1;FromCumul_Minutes "FromCumul_Minutes" true true false 8 Double 0 0,First,#,rec_total_coverage,FromCumul_Minutes,-1,-1;FromCumul_TravelTime "FromCumul_TravelTime" true true false 8 Double 0 0,First,#,rec_total_coverage,FromCumul_TravelTime,-1,-1;FromCumul_Miles "FromCumul_Miles" true true false 8 Double 0 0,First,#,rec_total_coverage,FromCumul_Miles,-1,-1;FromCumul_Kilometers "FromCumul_Kilometers" true true false 8 Double 0 0,First,#,rec_total_coverage,FromCumul_Kilometers,-1,-1;FromCumul_TimeAt1KPH "FromCumul_TimeAt1KPH" true true false 8 Double 0 0,First,#,rec_total_coverage,FromCumul_TimeAt1KPH,-1,-1;FromCumul_WalkTime "FromCumul_WalkTime" true true false 8 Double 0 0,First,#,rec_total_coverage,FromCumul_WalkTime,-1,-1;FromCumul_TruckMinutes "FromCumul_TruckMinutes" true true false 8 Double 0 0,First,#,rec_total_coverage,FromCumul_TruckMinutes,-1,-1;FromCumul_TruckTravelTime "FromCumul_TruckTravelTime" true true false 8 Double 0 0,First,#,rec_total_coverage,FromCumul_TruckTravelTime,-1,-1;ToCumul_Minutes "ToCumul_Minutes" true true false 8 Double 0 0,First,#,rec_total_coverage,ToCumul_Minutes,-1,-1;ToCumul_TravelTime "ToCumul_TravelTime" true true false 8 Double 0 0,First,#,rec_total_coverage,ToCumul_TravelTime,-1,-1;ToCumul_Miles "ToCumul_Miles" true true false 8 Double 0 0,First,#,rec_total_coverage,ToCumul_Miles,-1,-1;ToCumul_Kilometers "ToCumul_Kilometers" true true false 8 Double 0 0,First,#,rec_total_coverage,ToCumul_Kilometers,-1,-1;ToCumul_TimeAt1KPH "ToCumul_TimeAt1KPH" true true false 8 Double 0 0,First,#,rec_total_coverage,ToCumul_TimeAt1KPH,-1,-1;ToCumul_WalkTime "ToCumul_WalkTime" true true false 8 Double 0 0,First,#,rec_total_coverage,ToCumul_WalkTime,-1,-1;ToCumul_TruckMinutes "ToCumul_TruckMinutes" true true false 8 Double 0 0,First,#,rec_total_coverage,ToCumul_TruckMinutes,-1,-1;ToCumul_TruckTravelTime "ToCumul_TruckTravelTime" true true false 8 Double 0 0,First,#,rec_total_coverage,ToCumul_TruckTravelTime,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,rec_total_coverage,Shape_Length,-1,-1" # Dissolve alloc_six_minute P:\Districts\06\KamloopsBC\kamloops_bc\kamloops_bc.gdb\alloc_six_minute_d FacilityID # MULTI_PART DISSOLVE_LINES # ExportFeatures alloc_six_minute_d P:\Districts\06\KamloopsBC\kamloops_bc\kamloops_bc.gdb\alloc_six_minute_dj # NOT_USE_ALIAS "FacilityID "FacilityID" true true false 4 Long 0 0,First,#,alloc_six_minute_d,alloc_six_minute_d.FacilityID,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,alloc_six_minute_d,alloc_six_minute_d.Shape_Length,-1,-1;OBJECTID "OBJECTID" false true false 4 Long 0 9,First,#,alloc_six_minute_d,Recomended_Stations.OBJECTID,-1,-1;Station_Name "Station_Name" true true false 255 Text 0 0,First,#,alloc_six_minute_d,Recomended_Stations.Station_Name,0,255;MapX "MapX" true true false 8 Double 0 0,First,#,alloc_six_minute_d,Recomended_Stations.MapX,-1,-1;MapY "MapY" true true false 8 Double 0 0,First,#,alloc_six_minute_d,Recomended_Stations.MapY,-1,-1;Street_Number "Street_Number" true true false 4 Long 0 0,First,#,alloc_six_minute_d,Recomended_Stations.Street_Number,-1,-1;DisplayName "DisplayName" true true false 255 Text 0 0,First,#,alloc_six_minute_d,Recomended_Stations.DisplayName,0,255;Assembly_Time "Assembly_Time" true true false 8 Double 0 0,First,#,alloc_six_minute_d,Recomended_Stations.Assembly_Time,-1,-1;Win6TableID "Win6TableID" true true false 4 Long 0 0,First,#,alloc_six_minute_d,Recomended_Stations.Win6TableID,-1,-1;Win6FavID "Win6FavID" true true false 4 Long 0 0,First,#,alloc_six_minute_d,Recomended_Stations.Win6FavID,-1,-1;ID "ID" true true false 4 Long 0 0,First,#,alloc_six_minute_d,Recomended_Stations.ID,-1,-1;Station "Station" true true false 8 Double 0 0,First,#,alloc_six_minute_d,Recomended_Stations.Station,-1,-1;curr_FF "curr FF" true true false 8 Double 0 0,First,#,alloc_six_minute_d,Recomended_Stations.curr_FF,-1,-1;curr_BC "curr BC" true true false 8 Double 0 0,First,#,alloc_six_minute_d,Recomended_Stations.curr_BC,-1,-1;curr_M "curr M" true true false 8 Double 0 0,First,#,alloc_six_minute_d,Recomended_Stations.curr_M,-1,-1;curr_F_PRS "curr F PRS" true true false 8 Double 0 0,First,#,alloc_six_minute_d,Recomended_Stations.curr_F_PRS,-1,-1;curr_PRS "curr_PRS" true true false 8 Double 0 0,First,#,alloc_six_minute_d,Recomended_Stations.curr_PRS,-1,-1;rec_FF "rec FF" true true false 8 Double 0 0,First,#,alloc_six_minute_d,Recomended_Stations.rec_FF,-1,-1;rec_BC "rec BC" true true false 8 Double 0 0,First,#,alloc_six_minute_d,Recomended_Stations.rec_BC,-1,-1;rec_M "rec M" true true false 8 Double 0 0,First,#,alloc_six_minute_d,Recomended_Stations.rec_M,-1,-1;rec_F_PRS "rec F PRS" true true false 8 Double 0 0,First,#,alloc_six_minute_d,Recomended_Stations.rec_F_PRS,-1,-1;rec_PRS "rec PRS" true true false 8 Double 0 0,First,#,alloc_six_minute_d,Recomended_Stations.rec_PRS,-1,-1" # Clip alloc_six_minute_dj kamloops_boundaries P:\Districts\06\KamloopsBC\kamloops_bc\kamloops_bc.gdb\alloc_six_minute_djc # ExportFeatures "Six Minute\alloc_six_minute_djc" P:\Districts\06\KamloopsBC\kamloops_bc\kamloops_bc.gdb\alloc_six_minute_ladder # NOT_USE_ALIAS "FacilityID "FacilityID" true true false 4 Long 0 0,First,#,Six Minute\alloc_six_minute_djc,FacilityID,-1,-1;OBJECTID "OBJECTID" true true false 4 Long 0 0,First,#,Six Minute\alloc_six_minute_djc,OBJECTID,-1,-1;Station_Name "Station_Name" true true false 255 Text 0 0,First,#,Six Minute\alloc_six_minute_djc,Station_Name,0,254;MapX "MapX" true true false 8 Double 0 0,First,#,Six Minute\alloc_six_minute_djc,MapX,-1,-1;MapY "MapY" true true false 8 Double 0 0,First,#,Six Minute\alloc_six_minute_djc,MapY,-1,-1;Street_Number "Street_Number" true true false 4 Long 0 0,First,#,Six Minute\alloc_six_minute_djc,Street_Number,-1,-1;DisplayName "DisplayName" true true false 255 Text 0 0,First,#,Six Minute\alloc_six_minute_djc,DisplayName,0,254;Assembly_Time "Assembly_Time" true true false 8 Double 0 0,First,#,Six Minute\alloc_six_minute_djc,Assembly_Time,-1,-1;Win6TableID "Win6TableID" true true false 4 Long 0 0,First,#,Six Minute\alloc_six_minute_djc,Win6TableID,-1,-1;Win6FavID "Win6FavID" true true false 4 Long 0 0,First,#,Six Minute\alloc_six_minute_djc,Win6FavID,-1,-1;ID "ID" true true false 4 Long 0 0,First,#,Six Minute\alloc_six_minute_djc,ID,-1,-1;Station "Station" true true false 8 Double 0 0,First,#,Six Minute\alloc_six_minute_djc,Station,-1,-1;curr_FF "curr FF" true true false 8 Double 0 0,First,#,Six Minute\alloc_six_minute_djc,curr_FF,-1,-1;curr_BC "curr BC" true true false 8 Double 0 0,First,#,Six Minute\alloc_six_minute_djc,curr_BC,-1,-1;curr_M "curr M" true true false 8 Double 0 0,First,#,Six Minute\alloc_six_minute_djc,curr_M,-1,-1;curr_F_PRS "curr F PRS" true true false 8 Double 0 0,First,#,Six Minute\alloc_six_minute_djc,curr_F_PRS,-1,-1;curr_PRS "curr_PRS" true true false 8 Double 0 0,First,#,Six Minute\alloc_six_minute_djc,curr_PRS,-1,-1;rec_FF "rec FF" true true false 8 Double 0 0,First,#,Six Minute\alloc_six_minute_djc,rec_FF,-1,-1;rec_BC "rec BC" true true false 8 Double 0 0,First,#,Six Minute\alloc_six_minute_djc,rec_BC,-1,-1;rec_M "rec M" true true false 8 Double 0 0,First,#,Six Minute\alloc_six_minute_djc,rec_M,-1,-1;rec_F_PRS "rec F PRS" true true false 8 Double 0 0,First,#,Six Minute\alloc_six_minute_djc,rec_F_PRS,-1,-1;rec_PRS "rec PRS" true true false 8 Double 0 0,First,#,Six Minute\alloc_six_minute_djc,rec_PRS,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Six Minute\alloc_six_minute_djc,Shape_Length,-1,-1" # 20241106 09333100 20241106 09333100 Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.3.2.52636 alloc_six_minute_ladder File Geodatabase Feature Class dataset EPSG 6.18.3(9.3.1.2) 0 Simple FALSE 0 TRUE TRUE alloc_six_minute_ladder Feature Class 0 OBJECTID_1 OBJECTID Integer 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID OBJECTID_1 OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. FacilityID FacilityID Integer 4 0 0 Station_Name Station_Name String 255 0 0 MapX MapX Double 8 0 0 MapY MapY Double 8 0 0 Street_Number Street_Number Integer 4 0 0 DisplayName DisplayName String 255 0 0 Assembly_Time Assembly_Time Double 8 0 0 Win6TableID Win6TableID Integer 4 0 0 Win6FavID Win6FavID Integer 4 0 0 ID ID Integer 4 0 0 Station Station Double 8 0 0 curr_FF curr FF Double 8 0 0 curr_BC curr BC Double 8 0 0 curr_M curr M Double 8 0 0 curr_F_PRS curr F PRS Double 8 0 0 curr_PRS curr_PRS Double 8 0 0 rec_FF rec FF Double 8 0 0 rec_BC rec BC Double 8 0 0 rec_M rec M Double 8 0 0 rec_F_PRS rec F PRS Double 8 0 0 rec_PRS rec PRS Double 8 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. 20241106 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzsvfeTZNl1JvY9/1768l3te6anx8PMYAgQJDAAjUAQBAhxRSOF KFJcaleMoBSkVqGV/gD9oB8VIUVs7C53qdgll6AnCFKkCBIgCYAABxiDmcG49ra6XPp8/j3Fd16+ qqzqquqsqizXM2cip6orM5+5795zj/nOd3S393qKbcqi62DScbEbCRMVXqTDUBPYerTy9zhVsdQr Yr5XxJjtYqbYhq4muzrXe3KvcOzjVEHRCHcwPAparQRXry2hVhvDzEwFhqlg2S3D73kYTxfRuX4V lz0D5x55GBMTFeiax68BaTbd0pTzJ/s9TlS0AhM125OPHIQkqYLFXgkVy4Olh9u+jjRV4MYakCoo 7GhMHxzphCY0JYEzsK5HJTp28GD4ULb9vf5PTs5OaMgEKRoRLG3tTfFGp4ttlCwPncBC3bPlxh0j hKqkBzahHyShouLz0JRt71Ur0mr3cP36HczPt/Ctb9Vh2zZM04TrujhRLWDcVtFs9zA3t4wXX3wN SZLi1q1bOHv2LMLQw6d/7INQlECuw09UWHp0oM+2F5q42ytB1+JsTm5zbBQllc3Xjba9pB44UZCK nuAa55o9WIUFQFWzC+JDlU1T3sj+vfrB/r9TRaypXqQjSlSxlgp6BFOLtzxPQQ/lJRM60tH0rezv RgiLFlf/XO8psO1Lkqgymaz7PIOtZHysjEcfPYtadQzNTgBoDpLIxXjVhub1oLWWcOr9TyDVVJw9 e0ye1PLyQ3BsWxSWomRWM+dREGuomAEOUriwbC2Co4XbVla5cC4me7RQj5IU9EjWO9f9bubYSBQW dxI30pDCgsmHrEdiAiZp9h4l7U9EJdcm/WfHSWlo8baUDD/Lc/DFidAOLHQTRawDTU1kQAZdxlyB 5kqU1yTXMXB973bJR4vjtzNJUSikeOR8GVGSoGtOounbmC22MFboIm220bn6NrSzFWimA8vMvlUp 8xeekz8jeUZUVnyWo17g+dEG59rKxjoo/fNyM+XLi/UsRLGD61H7Vha9CHXEC/UoiaKkslbFku+v wVHJjuxXumjjtieTjSZw2fTvG2cSK6vvCtK62skE5XeqlieDwG9zQBiL6faPO6gwO4GDlm+jZrso GYGETopmINdJt/MgJD0sFmF/Io1CvMiQn+NOD1XbE+UTqypUw4Siqlt+lwoimz+js65o88dJZtVz TlCBUDFz7N3QkL9TlP58yuciFW7RCOBHBmLLh76i8ravsGhdVN/FCivXEV6sIeIzOEiFxUmQCx/2 /Vy7XPggGeClcvFjTW4oV3LbVV5iNeUTZJPJXjFDxLGKxW4R82lZ9nUupslCB7OlNgx1fyeUuLax Bl1JDzyJwAXMiRTG2tDPbzOhReLHOibNjiiKSFGRKBoUTdvye1QcncBEqb+J7FTyzSufm7JIEk2e L583xzwKjZVwAs+nrPm8jjBWMVXoSuxqt9aApmbWIu+Pc/7dKmoeLhrRxrhjhcUHYe7wQXBiVi1/ ZWdl8J0LmBNp1IuYE/ZsbRlLblEWZjugG6Kgwt3zICZSqsh9q4dgEnMy8UULdbdC90dDIq4+l3o7 NBAHNhQqw1gV52/wLDwnFUWurHazqHksziNa+jwHlQ3dOW6M+TntLb7PMWCcdJSiIrOyJAN+wHG5 gxSObYLM0uV6G5XLv22FRWVF1243vilvIHcDGFDn8ZgFHPWOxEGaKnRwGIR3li+qgxa5joE4z26F VgVjibRQimK5ROjoKXqhDpVKun9SxjlpYVP4/He7cXAD4H3ULP/QBLklW6hlFiwV6m4ysUddSnoo RkmQaJLQOBCFxYlh9f30nWF41oqpR2vcpcOwoPdCclf6UMSw+mM86N7vVBgb7EOrVkVVoCWErPjo htUsZsakMVKURmRNUxnwNcrde1TC+1SVbDN+N2OyFMYIGX5gTFHJLC3lIILuBTPAsuvA1uJdZJoy 4Q3wGGHEWIi2BkT6IIm4g3uQDduNjEJ5MlKR0hFao/wUJFEELQ5QK/p7oqXpivKcdEUPm2TB9zjz RA7LJnVAQnxdzLUd6Ui0WLyo3ayBHSksPgBqS5r3o4g/8SZSLRbTMcdqPUiSp8zpNqkPkEtIPBf9 vDRKEdL9Swn+TKFwz3EqCFILcZDF7XRDkfdGJTlk5rBintIck8UY3wM2n3eCy6IxQgXOJA/XAcdk J4p8x7BcBs8ZUGsFFsbt3ZXpyIXQykoYjFXFcjO0FKrKSX509yeBXiSqPCwq5UOVNeqDendjAUSR Bq/eBGIFS66CJO4hCHwULQuwT6F1K4Cmp4jCDs4/MgU7w/6ORFSFE1491Bvcgxre2IlQSdE9ZPKr 1wctc6PZrpu4qzoCBhRHtWtmSOMQXpBirqegbCaoOIChHa1Sh5Wdtf9ihjILxMaHagILXqpv/e1U kRpGIsrItEqoN3vwWg0sLy1gcmYGYRTBcRzA93Hx4juYna3BtvTRps1HlOkcteTA6Rzc/J5kwudV GUAJ8GfFCraFi9zVDIpHbI5rqgLHSND0i1j2EuhqCyVbgaZujek5DMIJmgeCaVXxp9L34Q+VZbV+ we9CYbG85pFHphElBqyxE7AXLsI+PwZ7cgKpqovbxlH44AfPQlVDpKk/suvPcXiHsRRGrk0yw6NH ej8IkqMEWG4nCZsh9xxJsux6lx7xDmfpKgpGgrqro+0TnBrANm0oK3U+h09ySyroo6hpTdmHMHs1 KCvgyV0dhW6lh14ANOpN1OavoHjhBKD0Mleeb/fjTfdkEkcg6yq/DpUwbqclicyJUdfTvRuF4Sfi 7XalsPZiQdLKKlqp+LpeVEAvaEBTQ5hGvyDtkAlHgMqKA5rF3o7I5OxnLGmW7wYvFCYa6p4DvXEZ BRY+FwqrEfFtCC0RIuazcpnhM8WHdRvjeDJmw0XGQPNhvc6DlmHGhWMoQFzWDe/mZCtFxiMWlu2U TB9dH/DCrIRH07RD6RrmRZ6MVRwZZTWQ6c2TAlS2w25A6YCSqbsF9HwVpd5dmGfHoRgZMHS7QqDl Qq8o13Cs2B4q9pPPv8OqDCQTlqgjKYF6ECUdIgLOUqsw1mX8CHnalcKi1ttpmc5WwoU0ZndgooMw DBCEKiIzOrQKi3IY41RDWQFaLAprO1QgAesHhT5EE6aOctpAQfWg29YuXHcWsmd1puN2D859xjNP buSxrMMoDBAQDM17yjNi78mqpGm68lo/b3JaKZIilgegU7tSWLm5uxdi6QpU24avZTei3qfy/6BE AIy7omo5WBErq1/nyMU1zH3ws4tuEUGkY9zpouTeReroUE1zR+4ghTEulu6IDHEIKquMm+3wjjuD 7SQEpPVIpbVT7NGDIkEUII5Zc5oFN8MwQitmzFeFqevQ1dX5lzO7DCqrXSssgkZ54JyzapRCjcu4 1WGNXa13SY7yRMyVFs1vQqXuZwmwLow0P03YUoKSeC40gqzuw9CwlXByRmnGsjCMJZIj6w/nNraR Fau/qzKGrusiiiMxNAzDgKqo6Lpd+IGPOCHEh6EUHX6owrYdOBakOsI0CQPSkSiKMK6st553pbDo BjHexAr9B7Wk5n4yyiLigw4Q0wqg1UzZSmlwFyT/FWN2dddB4JmoDjAk7FR0NUbF9IfC5WQLX8h4 cdgl29BWWXp3epROJ0IUpSiVHeg6+ePpSiVYWuqKdTpWK/b3DBWeF8O0MqxTQrLENFmp7dsPF7rR aqLdaSEKYxQKBVFQrt9DGGYswlRkScLYtApLrWC54QlzrV2swvdDPHRiHIpZuccU2DWSbxQFje/J wUteRMy4JJXW/eoeuQDLpiekeO1AQ8nQdmVm8vzThS6KxnDMC7lVy6YlEAjs4ZXVa1WwUxtUUTQs L/fQaocolwHPI3QEOHV6CpcuL8O2C7hxYxmlkoNWs4MUJmaPT+PO/DIefeyE4OAotKJzj2gv161l mghtB27iIklipEmKwGc8OlgJ78RxgmKpAM/30Gy3kMSJlHkF3Tb8oEBWu3uOe7Rg5IdMMrqYPmPB EXcLMcDAmQfh75eOF2CsFqIXuVC54yvqLhMtvW1dKy0xXudhLs+h5Mo/J/Ub1i1kMJpuFUXXVRim BstK4boems0OTNNAHAO1ahHlioM33lpEGClYWmxgcnISbs9He3kRjjYDvd8fgRuSUEFH+p50tcmF bqBlWKjMVGAahlhTzU4TvV4PiqZA13XB6iVpIvc5OTUhbiP/XS1XMFarbZjA2bXC4uC/m3vZ5NV4 8SFfNMMK3T1dGoeQt1+BpW5dUhR4EcyoC70wSTv/wBIGUiZ2SONDEnwnzcp9GEm4cMMolBgPf+fP MKarraBgJRirWVAVDVEEzEyPoVg0YZps8nEcPOJjT5RQsBWk8UlYFt2wEFOTKrQ+ro2rlEqKc7Ud mntajM/rZ7zK9Vz0el3oBpkrEvhBAN/3oROmpGsI/FBqhgW2pOuy+ydxiuMzxzc87kgsrDTuica2 9f03zTlhc5zLQaS383PuumzgkAgnNeMcVFbkMYoTfQVUmrcGy91HumNRow7bSqAXnftyuI9aMisr A78mh5wsj2PGOUp3e5A+mds9M2dUTFEUrcmk5Sl/Cq2NcsHC4lIdS4sdTE1PQlEiaa8WBBGaHR+a asC2MtfLMCzZfM6fH1/pULTG4qP62MOSJqkjVRSxqLqdLjRVhaYbUDXOESqlRCYUY1hsAceJZxsW DMNEEJDGemMjaARrLIWadNHoFTFZ4oPZP2srb0JxkDtrjsM6zItlu8LxJHuorqiyuAZrRqkc8gUX RwmU+l1YY2VohDQcGD+9KtCBw4fSWyscM86XlRghw+GCMwzghWQ/YXB843nkhz7MwIPtOHAKCXTd QLvtIYp8JAmPrUDXUnhuKApM00yoKltpcFTWWf79Ynwhzdwjr0DXdJQKRRSdAsZrY6KQXN9Fz++h UCys3qd0s1JQcAooWAVoGrOpyaYwJp3WyW4Q2pm5asDv9VDvOZgq7Z/C4sLhbW8Hpb1nCusBcAc3 QsLzvpKUVMSrxdJh/+U2ezASD1Z1EgrN+QNrdpBZC4ddctaOpE9oR0ZWWlNKksrmEPVjoRtJGgOu B0zN1HBspgrDUBH45krGzdB1iRPRSqNlQ4VB64U4sHuuo99AphuYUuu4G/B3Xry8fvSphPIYFN09 +azModVP5r/z+lkvvAoM33zr0W91qpgudOAYq91EtiuWYaJWUNCLNPjx/hZ77qNBtzExH13BB7gj tTDCDrgUWZu0fjeaegOFkgPNsXcMGN2tSNecPuL9KEhOOUOyStpYdJV004QBE6nHLC2D46tqizk9 RTEBrQDDtGFbrFfNMvOmMVj+nVMx53+L7nsdjKXlzTLuN36DGLK8fpb3kANLciWYW2wbHc/UTVGk 2fuZllvzcwjRF3tFMf9ZcLpT85Ca0jFNaFoffLhPCstQ2ehARUL/WInvO8jKXlSP93fNd5NQUTdd C2GnB22mcGDW1SDi/Si55NI4lrGrlLHX/tipKgq8E6+HIMqUj06KHq0IRbNhGhosfbT8WrLeY23L hBHfY89GNjAWJcfO61qGuRNIU76+csaSWJNnwvfWB/WpJzRld467TkVFhTUKl4rWDm9wv4Q7P5WF G+oSjVP6O/8gv3iORuffiiNsgJDHIQ4q2L/fwnSzpKGhYcktoOOrKCQ+dLN0/+wg/YY9sMDSvvIU srwjtGmwy5CWZMkCKiUdMVJFgWFaKCkagigLzqeKAd3QYepZ/Esd8TzLYpUZ9zyrVqThrMSFDZnj bJCc7fJMwGgCjTDVjJddiv0H1lLOrivdnvsWWI7yH6XouSk3isEQiMMetKfeSjiAVNo0Tzlskt5e p5TyQlm2HGJLqN1KnpViivhBV1YMjuaZKzHnVQ29yISteXL/W9bbE4nNDFBfYaXMEMnfsgzRiqgq 0m369hx/bk5cIJy/RymGyDHLY1lByixsgjQBAhgIFUs2X8vIsFui3PYInK30EwGxGotnpCaZd9QN TbGoWILFGFjF8iRkJAbCJjiy3OLKbW0qr9z6HeW1y/F5gewLuNsW7kJzrEfoRrq0c9oPkbZjegSt b9nxAW+0iERpETDXp1IZhRxW3M/ohJMuFu53BkYVVZeYC2ltXV9FmOpSwKqEEVJ2eybkQedPYoES RLEBqjSx4Mm/GWXjLsppxeJKoYgS6/99KN6sjCyRmxMX2FGsthC3kJCMWIEvWU6NKz4rAFayOOF+ bIaqrNk4A5NyA4gVdIOsYQTrH4WDSuo7t7dmcsuNG8pOm07ISk5ZCG2iyBg759dkoZuRuCU0q7Er ya21VmAi5e67jwv6fq5eXo7Aa9utwsqRyw9KMWu73cHFi9dxZ24eYRAiCCNJjbtugkplDB/4wJMo l0tYXFxEHKcYn5zE/HIXf/0n30Gq+kjNFKpmwO118Lmf/DQefeQcPF+FF6awHAORw8a7CQzEEgNR 1igmTsrMElPiFCndS2Xj5oeJ0l9UfSqcPAFwVEVX4oziWaG7ldVSqgegfNU8e5mmWOxmHHR0AWnI kJduJ8JnQyOIz0riWhEhFpnwJ2O/XI+bKWUqKfKjkcqI339obAmOHq4qrFGZ1BKY02IpiK4cslbd ud/di4xdtSjfb7d3r+XGjTt48aXXUS4XMTZWRVkjOtrEtWvLeP31y5ifb2FqagqOk+FkXn31bXz3 le9Bb5/G8596HK3wrlhjX//aN/GnX/x7LH3UF4BjtTaOE8en8PiTx6Tej7ttO2RGcXXcTI3B2Sij XaDiYq3JekeC5U+02iK2EEvgCEZstHExlsAQWZ4xn2T/rfye115h4N8K4JjOStZrR5LSmgI0I3P9 lAPPBsfihQSJvXqJu3DpuNb4nPK4lhyvX5mwlfAzt9pVtHxLIDXqQLxMz+g8RkfhKoE8PUIUGmLN 0DU8LHEe3iODi/TPed87Jd2Tu3mAoAy+H8C2TDz91AWcPDkrpRKqauD8I4xtfBMvvfI9qJdvwbJM RLS86jEm8DC+76kfwrMfLEOxL2D5WgGvf2MJj56v4vHHzyFOzsC2LTkulRIVVp49WtO4g2UikYWS yaLYFKm0H1vHhNEP/MasNSMMQI+hMOgT959AHiNb42oOL1RABDQSwEksE185cDErPMuswEESebq9 lk5KHexu4+snqw7HXNKQoIggcWS8uU5IprgrnCbduHXrny691KluohdyHZJ4jozPmOWuuKSyPYx6 sGhlFfVIUv/dgeaJh0F4bbSueF1V4k+2qUyPGu5nGGENF5ULaUBoZWWioKYZ+MEf+jg+/OEnYGmZ tbx408Kd71ahdadQUau48vUUvaCJr3z793Fx7jv40X/yWczMsMRi0PLInv1GDBAxgamRLrvp4LPg ZsJJy3EWkGpEt7K/Q4eaxMT4ShIFKdugKwksNYSmpdsG51H5COgyjlBfbqDZaKBUKkmiIX+fipCK PAhCKexl8W4cJDg2PbMzltW+1RYmBljfTPfooN1bTU1RtBIsesrq81JHf015SdBmo8YsJd1Rnpmx q5lie+U9fS/dr/yGfTbcjHRp7XMYrC0q0Lw3Gi2unciDpLBYiCqEav0FmgmzrSlq42MozziwkxDL 1wtwW2WcmVbhd3ToVoI4jrBQvwUU7+BX/8VP4KmnH4auC+BgqHNzkTLbOJj+ljrGWBUkNi3ZfJOR uGH+mZUMFLNWCcJYhZ8acp0qra9BpTWEQsmR2YIO17MW8/l48CctLhbtstaNnE6slaNFtiOXqR+z I8EF793vx2n2kj1hGOH4kphxttSU2NGE09t1Im4nwpBNEGWwoYIRrFmje4r4E8IwJYZmZN1D6CJS WAogKfEDVF5M13rhzhomPGiSkamlYj0MimRVXR3NN6rwb6ro1U2EvoqZRzuIyNJQDvDV7/we3rn+ PTz1wdN44smHBiy0bZx/A8uLFlOOp1M2eH89mzLfJx6P7qWlRjCTAYuF1oxKl5FwzczRHLSK6O6x jo10KNVCFe6Ei67XEx6nPI4ln0u4AasrCmy8OrZineXjOJTkBc2kWQFpZzLH8zBQFBlajJli5x73 fT+lYnqiLBm07wTGmnjxvkCU80A8FVXSB5U1AxOFdTvrfoqyT7VnQgfLpup9hkXJiHHxDBDw8z3+ 5PtcAPz3fjbcMExd4AhrLayshRfCFO6iDndZR3E8RBIrcCoRUIkQ+oCfNPHDn/4Ann3mqR0pq81E FNSWBIJrRawwI+qzd6hox/YK7ZEov8DDV7/8Fbz0yuvotHt46Mxx/MRnPonjp46h3elgbmEeQeCj WCyKi0x2TFKhJFFG52uYJpI4hmXb8py63S7iIMbiwqI8T7qJJ2ZP3P/G+IypoIS1YPVegzjj9Tro ZibKEBn3UZxjK9XM8x8rtWRcyqaKum9h3HGza9vTKxu8yL5pr+UUJYL70AXwWdTDfbe28ir/vWxt RiW0tLSEZqsJVSOPUShuRba7K7Addr5NZTGQgoOuBmNJVFZnTp2BZZJhfe+FxGnCvzSgsLiriZtS DlF9v4fgtAa97KF+V0NEVoDFAipTMUxHRaVSRrlSOvBGIbmlJvisAaojBvaXOyHeuXILr7x2CadO ncY/vnwRjz39NKaPTWcJyn52stvpSEaS7AikbkmUBM1mU2Jalm1JcXGh4AhMg3bRwuIiKuXy/XsP SAY06QNo17KzctPOyfVwlHpb7lAk05owCUPFuMrawDFatZy5mTN5nMJKQyy0bejaKjD1QHAfQskb 64JAZ5ZoP81h2cGlU8v2OIHyMp9hYSAkKSP3DxVVlJCTO1rJQpm2Ad/z0el24fZcWRCu58n3llvL QrlRckp7bm0xmMypEg0orLzBKuNYxUkfdjmFplcxNpZdS2M6hWF14RS1zCXai9bOO5T1z1PVYkzW LPzSL34ezz37OF565R1UT/4YnFMfQhcJymUDDwvliWg3WUwEviqGRjZ01Fv1FaaB/GVaJkp2CSen Z6FyDmmqAGjv4fgfdD2p0DdICGTMrSTtUwQQK12jD0Gsd0+ELKp+AD/uIt6g/nfggyu/cXydtAdE B8g5l5ueBSXrvNP0Lan12y+TWHra7QRNvA1XkhO7UqqgVCjBCzxJnedYH6lQVxQUS8WsxRUJ+QdB k33+IFo9BbsARTWQwJQUMRMZtApGZZWS/mM9nohZOakN7Si4dr2MsWkN5tW/Qesvfhtxu4nKD3wG ysc+xUAM4ihjyDysInNNU1CrlfGRj3wAH/zgE0hVB81Ix7xri0vHuInYvWa/lIjB33abVX6SEWSA vdftiTXsOLa4+cwt0Eow2O06TdH1fHlvDffAismwNXYhBzZzLeT0xYchQTVqISmk8DozPDJ0QJ+e WVbOdeAkmXwoVFSSug4NdKlNpSI83lNlRQXJ82xHJPeVkkZHRxjT9VBh6eqmRdVkkby7OI9Wsynx kDAKMi5rBmqFpCyLGzGYS3EKDgLfh2VZqI3XxArLyN1SuGkJhtIVShLiZVTNQtEyUbN3VgfaanXw rW+9jJdeeh1Lyw3hUzo2+6Mr9ym1mSlQLXtIJ3Q45Sqi+gKMiVkoqobU62SFu7qZxXr6gefDLoRb 5JCLYtpGJwjQ8B3pYE0lTXze8XJTslPX79xGq91Cs9WSrCBdelL9UkETYIvJGXk+jufh0uVLonRK pbKMxeOPPibPejtuQ05hTMhNTqV80EH4UYsXG9DhQd1B9pElXAeusFayifTdJa6UsYgy7kCFMuoH Rjen7tmoWv62got5BboXabCUNtS0KwvW0CqS/aQaYfqVrm7mFqQymaM4ZNAOuqGBSTgqKn4vDmMY Did/JO/lsIIVWlzu3nDQTWZgqF3YyrKk8FdvRIHnmliMxzFZ3D7V7cLCMm7fmcf73vc4zp8/g1Kp gPHxqrzH62elftu3JThsj0fQHAXq1HEBbEbt47BPnINikvYkW8As6zhqIkFdy5PyE4Ymmp6DhV4J N1o1zDo3YZccGI4pDJnlQhFezCJw4sZshEmCQqGIuB2j3W4LqyY3GoYAaK3uNJ6X1+MScqOMsO71 MIgwBLsxzPQ+RfMbSWqgp1cOh8Jaw8hIl6ffoJU7TXGESotDlCur7bqeYaSi5afQ0gb8qIs0IbVN QSZUXjxa9xy0fBtjtocxuyvfc4oOTDsLyFbCLH5FFyxDk5O9oF96krfrznPbagH16LR0knFUF54/ EKDM7yb1EfpLWFImMFHYntKiG1RwHMzOTuHhh09nfxuIt5AFg1k6xhdNgzS8PRTe/1GE/+9vI+l1 YD38PvQ4e5QIYaisWIlHs/NRhvNyiqQoBua7JXhWCZVyDUzmadPnEKUmxoM6kEZYjE8ya4NSsYVy qbTqDg8Q0e0ITNqXjEGBoFhVfj4o8axUANfbV1ak4mnoFUyU4sOlsHLhA2JJD1kfCB7MmCRG9NB2 0KzAj4Dlbog4akBDsG5C9vEhSoyS4YvC4oTXlAh62pUJLOwFaYr6cl2C7CuMBv1MSB6/mpqZkvR4 dlgfNe0qFLqEmxPnQoWPwFvCzWAMlmmvxLYKRiJp/s2ELqBpGZsuLtk81ARd35Qdv34lwB3PxPjH /hs4Toq77bv4zf/7/8Li4gJ+/uc/34/dHG3hPRODRLflZmcaljYmWW03zlgHVMzA0QPoaGHGqUNR 7DVUwKMUYT0JDbHq1QfENQzJ/7VN64rKiiVXxKyFXu9wKqx88lBp0T1kvIkxrd0GIvnQq7aHRdcR Xqz7YcCoTLohU+IBlKQBXbk35sVyDmnBHbGqXYEet+DGx3C7qaNMRoGBTAjT/6iU0el0M9ePgUfG 1GJ26TUFXrAqLD0ZrlKen1OTOSRe1m6AIcowHINatDfvZKQoiKJYuuxuJiSWa71t4eprNcRtAiSB m3aIh7+/DmOyg2rVxs/+zH+F8+fP7smiPQhh9vdMtY5Jp5sxbfq2hCckgSjbT4CydgNRJAn3oal9 d3Rtj42iAAAgAElEQVQtfWT/g1JoHwnJApvWpEMrK8boVYOxUnYEsg+vwhrcaYRbJ9Kx7Nmy61Nx bach5aDwe1OOK2A0LdLFPdxISLdTdxV03TYMpb3hudhDLvtsniVLYSlNWHqr794N4EpII11w4FgO ThxjJ151jfXFYzS7zXvAmzsRhYXGURONnoapkiaThImGuaUe/vbvvoMXvv0quq0mJqomzp09uelx wlTD+FkXZy/UETQ0XHuhBqcWYPKMB0/gIBlf0YMmLEchaR1fvL2FbknoVgik1dM6hI19HzBnnHO0 sPK2akdduKaorDL1P5wQExdrGUUzwaNS9XXY90Y+OMay+CJOhVZXOyALQJxRu27zYfJ447aHhmcL OHK9pcWBbbgKem4DppLFojZsFBn68sqOOTiKq/3k1pwXGae1oRkbTnhaWPGI2q6rIGNGEzcbVelI wnrB5aVbaC3cxOc+9SwePv8QVLMMs1BGJ8RKrd7KGKTEYamo1HzYaYjFtx2kZhuv3PhL/NELr6DZ aqPbdfHJH/p+PMjCpzpd7Kz/y76cmxs1NxoG4NHfpI+y0Pjws+rP+yotWlexqqCblnG7cxLThWwd 6lywh4VJYRhheY9pZkWn1Lrc9VRtZz5+2fLF3RwbaMnOWEXTAzpuc1NltZHkCmsrPFLOszTYFWX1 ABix0DH0YCgBilpRAKgdGxgbq+DYzCROnZiUTyVp5nYzjU7LNefmZrW89LcME9x5q4zOggVt/C0s 3riC7//oByWzWCmXUCoVHxh38DCKhEFiTZRWylK2I6y0SDPUUwyoEgceTufMhcdwqtrCuNNXWEeV jE4wL0YgWSzioXay++Q1jsxI0nqjZdX2U3R6bZhKZ/hryRfsEEO4obJaCzXcE8kVKdPyLAHKJeMN T/oNBFSxOhe6ZdkFp6w2li85aM+bOPFkC+00gPO2jRPHZ3Dq5OyeXu97sio0KLg+Awbg96HWb5SS 84hJPS1jcgohoFs3vaXbmLCmlqwZEdfmathGJ+UsD3DfhgKHUHIlG4tfTACluu3dnpxLXKQkCKv3 yFjAmNX2ldUogJPbVVpZhpHxs+wfgoUaYMnMjT3PDdAxe+i5PbYcFcK+tefNdC05qZbdgmDJpuwO WhdN3P1eGTMXOihNB7j1UhmtOzai4D2Lar+FllUY65Jp24jd4jAKE1Ks1iAujUwYXCu6oUprsTSl V7PZ5g0JtqdmCYq/9l51ktgR+MjOswfFnLBTyWqwIix3mB7rYqJckviQvDek4hKyQSPAUtdAFNyF objbuoaRlqRsUw+0Wx1cu3obQRiKwnRdX2oW2RjC8wJE/Z85T3u305PC3QuPn5PJRDyYxNVU1nRm /ecYZ5gqdGGkMRbbBYReVi4U9DR0Fmx4PWY2j84O/yCJo4fiUeTt5Q77tkHgdK6wON8ofmjD2kJZ ZZIK7u1aa0ZqjAeLwXVaKcQ5BRHbDY22UeN+CAGO5MV2YxMtN4Cu+lIDVyDf9tANPolK78DaprLa iawg2deJMvDfZm7joLCg+utf+w6+8pUX8L6nL8BxLBimIQwQVEosHSHzA2mNbduUchT+XijaKBYL aHVbKDplqCDfUAw11WFqmfJmrCFyNYSehihQUb9pozlnI+rVYTmy/60CXd+TfRO1H8IQPNMhX6uc wyxNY2VHnpzSFB1RaoFRLGb/NlJaGSeBglZckVDVqUp94KD90hyamy67d2zZ1f7wiq35QnnSDYx+ r7UAusZOLvdny037wFAtbe9LunQYZTSUKIDtOHj++efwmc8+v+2vczJ1uiEW5110ux6mZ6aQkgdK I3OnithL4McxyQuwcM3E1GMdnP1IE2+7TPUfLUv8QRJTi1fanFmH2DVkuVZeapZLmGS4ta3i5Soh PqoCEwFUspqsJ3bMf6F1lbesPkr7Jnd5shk4VhbcS1hzFFXhsdsGm3/mVM2bDVJKQFuGXdoX2exZ 9dkb7uUn2Vx0TYXn7bQNEy1qDa7bweJiA3NzixLbmpmZkaD80lIDheAsbPMxJGoXi8FllLJCFkTR 3lpYcvtHMBG0X1KURiqmuPJk9B21CJh5oHcBn4O8trkhCj6R0eXUlI7hSIuoqj7MDQDY66WodqDF gWSrpQO1XNhA8XPWTcbMurceYlNzI1lPjWLpoQw2waakQZaGBv1My2aYrb1IOAh76EAiYNSMBmQK 3ckxM+5yDUXbwpNPnsGFC6cl/uW6bLBgQrdsLM1pWHqtzJPgzPtiTDxyBqrRgkb/u19StBfC50aX h4c/SnCbnYrw1yeZYhh23am5axizmezoag1zSAtfXr9zs3CDEErEVltDxs0ybjX2NkzhJTW042MI kwJMNYSpLUFHQ5JkG353hYUnRVltYdmtSJw6JzlcWemDBP8PguRgU94TMSysy8or4amc2GF31SWk Mhu9kibxHvFPZKNkcXDH62wapM9R79sRoZ9Zx8M+jORZG7FIEUIzgaqlojZmSyxzYdFC604RCBRM nW/CmrmJeqshQNF6vSFB/b3ivyIOji7Pu0FZrVZUFGUejjs9obcZNrvt+ZZAHXZLQyNxVSmd0TOW CJbFsYuPmpWOEafHv3P9DKNU6QpSYdEFbMcz8JOy/N1LNIlNOVoH5iYKS+AMtN5ZRqc2ccWdRIoq zlSX11pYlKPkCm6rFyG7keiRPFy24aa5WjJJuJ/dMXmqsqZCIz73AD87qXbzMpzRLHYFpmlsu5RH Ussqw54OWl4BnchazTqlKZoLNpbfcWDHIU4/14ZeWcJf/vVXcOXKDRlMluOQioZsE6MW7uhCE9wv oXo3CK0jKoi6V5DnML6NTjVFIxQOuXgXXhGD4szmsUEuI9jrud1yNtS83dow5xHrio1pU7K4ro2K e5GJWGFweYtrYkA+Bcw0hAkPy24Jpyoq1DQ6/LWEoxQuSrItzHWXMe+VULSLqDqcMPrwRO1byAqF br/xJicDFUrCRqLs8KtoQuuymSW1HRwWD0G3jtbOdoVQhe5yEV21gPKYL5lWgmd7ywYar9swowin nmmidsJDveEiCAJ84hMfFqZOKkmed6+sK/Kh7aRf5JH2BExWXNiCgTO1CBXTH+r+9b6bRot0p9gs zlMqlwwntbEyyq+FG8owwuNJQ5X1x2H1hRJt2Vxk5br6TEu0KVJ2iuZ6arfeXQpLRBQH0/gN9DzA MspAGu7+sOT51k1x//g7dy0WR7uBKz496/lYbU7ZlKN9m0YLoQphsD2FReOu19Skx6Azq2Bs1oWB CLanI5ovwoo0TJ/vwqyRabOHer0pbichEntJIcPFwELfnRa1H2WxtUj6Ac51yljsFTPq8CEbs1h6 JIBfWj87wWZxLnLj3iocIfRsCrFRimwqW8XMGGgXhUWix9TCYNsIUwkwpS/AVoZLFPE0kaLDMQIk jSVEN67eq7DeDVMld83IGtroFRAnrLnb5THpohmmPHxRimqf86qPPt8oObDuANtGukv34R2wO7BV V8w27yoEZ9VbtDH3Rhmtu6b0HCydWML33noTd27PCxCVCouW1V5lBqms/EgX+hHGY95tkrWz8uDZ LOq3hAhSLzBRFA0X8jAy15CKbicB+GGeKY9NZXW/hq+cjwJnYMVgWkScZkBuduke05ZRUMgRN5z7 SoKlIDExrrfgvvk9WGfPrlVYclF9UNqDusvl4EyKphAw20Ca6EhUmtW7C/TmaQsenya2BLY3KI7m 7jMYx8p/z7o2Di+avpOgez9FnaYIOjqWrhVQf8tG87YN3WLbrhitTh0vv/Q9KKqKRy+cxZNPXcCZ 0yf2RFkJ9XTCiakK/9lhBkPupVBRHyu2RflQKXAdDguKNIijVCAdpKnk9oKhNHc5aQVvJTK3WQuR agIxynoQQFhzS1pHvJthhLcQKibCVIfdusHdGdbxk2sVFjUnof/GA0TLOmiqiiumrFo6/Jup9BCq FoLUhr0NdoYNlVW/jm+rjB8faM/rScuv/hdXFBb/tp2APCljdpIqYTu4JFDgNnUE8wW0b5qIAxVW KYLhpIg1FbVaRaiTn332qW0ff1vXIllBXRIj71ZllQvjUYxnWeLebc/SLBlB1nEn3buOO/lM26o1 HtcY15cW06XNSnC4IhyVbKHD3xMzhb5qSXcd7c7bsM6dkb+vUVgCbSBgDA+WSOeZwJPGpIwzEWjK +FLHzYqcySQappbsBsOaq/cTBh1zYj/JzGlZtxz+O4gCuabdCoPfOZp4eOuH/OuqKCyllKIwG0L3 EjTnLDjVEHYlhEdrs9+deq+FbiDlqGH/9kq4+kjrM2yAe033KTMQSvG96rhDIybrUp3BTjbywjjP SVIZxgYQckPdOeOen9owmzcB34VWG7sX1rCZSACNDUDZ8UXTt47FHCLJlYNQGIe+/F4pViQATkBn rrAy7qgAUWLCUL17jjEIR8gzgcKase45rMSrlIyNNO9DyPFibIs/R4l20/rtzkkZQ574YYSwBMvW UKzESGsKSqdDQA2kuLk0FYjSCrqMcfGZ7y0WKncH6casn/w51z07LHNAea/vhtpFAjSDmDV3rPLc XhBd6cezGn1K8VGHdWgBMyKVQ08Y8L8nE8j1odrwUICflvtGQLYo5P+kAWe2XDZ1WlzZQlIUTRrY Sp8CftAwEURljC2+BPPMeURBCIVt5dZf1Ea3yEXXdtuym9NKKRfK6/jHD59QedCq6nrdFSpj/qTy Ugvqaot2aZudIOi1oFpj8Hs9aKqSdWxOUukTyJo90riQ7YALxzRJbscGm5q0dsoXErMjPGeeJaSC 5KKTFC/R5cRj9f+9e8kwXmLJsQRpSIWFVEUasRgasCq+7ORBqMGwY5QnfehWAt3rW1h7bGvz3LSw 1gdxWRp05cpNfPfVt9BqtqWY+0MfelpIAx90YW/Elm/CUj2YKoGayvZ505W9e24MFyVaLFaWltzL Q8czdwIHzaCCKMkC7pbiS7Cd8atUsVBv9XFfSQrLMqBqBjpdH6WCJb0fIz+EUbSR+j5iQ8dCXMJU pCLoqvcqrLw34GB0RLAafQuLdBGkcKFbdViFizhXVjmtRS60tFRPFbO16BTl357vwe22oMcpWstL wmpQLDrSur3TaqNEJLyqoNXMuNrZUp7noOLSx3Tohr5izeXKMeekyhU+41ajFMFh9bvv0BoaVoKe gd6iBdOOURrz0QgKcF0DTjVCcYJxh34WtT+Oe1kzmLs96+MhLBP6xjdexL/+1/8JV6/dwrGZKfz6 r/+SxNQedCvLixS4vg9F7yE2CfLdnjfTi7J44F4WRRM+kaTqCgxlUFgpUfedFSuMUIZxfUlqA5kp ZCD+9lwdXhChvryA8w8/JHPu8tUbeOjcGclKS3nW/DIsqwtXHUNwpyvx2oQKfLP2QoOB98GiXE5g Lr7DqrCoHKhUeY3SFn6d8Pr5Pq2dglWQRelzB6CCijwUiiWoRgGmlcIgMWC/7o5KaWJyfI2LKHxS AwsoK3HYvwignF9lN5vhFBZjV0HTQeLZGH/cBRzAW9IR9lRMzPiwK5lyz90vKsJhFFZ+/iwDmsM4 UrFQV/6+8jsZT7P+f3R72i7gau7K5/heu93B3NwCmo02yqUizj98SiYyj5HVMj6YQveY7d2qZg+2 QevK3rZ1pexDPDArgScrWu7sZSK0ML6Njm/JZmQooUAZKmpzJTuoKBFmpopodz0Erg7TVJDGIaZq jijCyCrCUA1oC1dRHjuGarmUAZVjF7YxiOrqC5UUT0YNGkQqelHGlxSDrg4RuCaiQ0pCk1syVEgb KatccqWbu7UC+jQMeK4H07SQqDoCvweV7p9lClUGyfAy/zxrGiqFmLq+Z6jvYSTvzHO/WFOWtVQR BybCZjlzZSsRFjox3nr9HbSvLuBup4m3l7L4Xa/n4rXX3saN67eFJDCjuVVkHAS/tqIks9iS/F1i HKpYpRTuiLTK5Xc9Q+RnZUoZFIOK7c58HaZdxmRFl7Hm+yQb7HZ7uHP7Lj7y4ffj9MlZQT3T6n2Q UYK8M7pZhpaiZBJTRbd8e2EXX74/+tjVZvGsqM81nxs2xNI1/KyxC6+hrLVR1ZrQiW4faEk3M2Fg ZtLCI2dqWbAyTXHqeAWduADDU2HMX0JlxoIxbfaLoTnfLCjrLSyeiCnmTmCh0zfrupEpmTMdFjSF mS2TbYNhuAHGbPdQ8fHkZQZ0Xe8nVGh0GTkpcpe32+nAMANA6Ynysmx2m1EQMqPXD7obpomIDJ/k 7SkWN+gnuH9CxUGFSTK/rSSJNATLY3DnK3CXGfzXcPt7Rbx2/TX86Zf+GGOFBM9Wz6DVywqqqYxm J8cELNquN/vWJP+ejQE/w7hZlv3M4nKiwDVtlcObCQaJ3fWvldxGfUoc3TKEyuYbX/s2PvqDH8XE qTE5fh6HW1rWYZsGPvX5H8XEeA1/8/cv4MknL+xLa60Dk757bGgaTL3fTHebEqcK7H2ih6IVlzNr 8LyU3NChpUXrqqR2pAnKoDCwPmhMEL5A7bLkavCW70D36ijpHaB8DFG0NoyiJEqmsNh8oO1baFBJ heygQu5oAr8Gbz1rt56LnxDgZmCm2Do0SouLl24ehbGp+6XlqdzSKJXFR8UzPjEuOz0tKJuKyHBk MM3EE1Ap3Rmi2ancJIjejyEdlOQWX9i3ZDaToGth6c0puEsVFMcDaGaMqy8a+Oa3L+GdN1/Az/70 8/jEx56BrmdWTtYzEau/K6u/j0L4VObnl/HnX34Bn/jYc3jk9NjKe3wWb751RVzwkydmEASRsKc+ 9hhjHQ+uO5hzTu1mJSVb4KNGLXwSdOFo0fG8UiStR2j6pKmyUFBcmPTItjoGjStFkzrK8MY1lHUX TkmHPnkcygZswRotTy8ysOw6Ui3ODMWw+A9+706nLM0bpgrDN23YSxGEuUnTURlOaaUZL3q71UKp XMroWvyMH50t45l2DSM+FLpU/TPQ7YkiCbizji8MWvJZBuL32z0UC0dfdb02kzRmm29NwKFJxFeC +fklXLzyGsbGLLz/6QsYH6vs23XTWr19Zx6KZmJmqrbmLXaivnb9tmSQZqYmcP3mXFZAPmIusQdV lH02HrgscpeQMTRaV4SpkItd1UwEbD7LDT9dO0f5lRgmWmkV3twNVNQGrGPHoBUK9+KF+Hla4LYF /Xa7kmm4ZPuLjRfIgk2ah1Xr8LiHBIcyoJzTXGwmUkJAnJRuZHEVwhuCrHlD5uopiOIEXqLAMPpM DIoKt+fKZ2jZUFk4dB0PIJ6V09fwWja9R3ZF8myksY44VNBeMIVh9fLNN3F98RV85GMnce7M5t2f 90K4iTRbnYzNYp0eIqRhcakh/RNZbE0rVtzUB7HF9HqRgM3O79PW4q1YW/ZcaOzoSoLJQhdVi415 2XzCQOSrMJIekjAQL0WTJJ6OpXQcHVfBWPcOrNMzoqz4nBPGQdPVLDjXplWwoTL5tezxQzs3tWmV 3WpXpCxgptg+NIjlYdwXDkapVEKlooryofJiPIjZsTxTJsHQiM1adeGKN3RdrBq+x5gOd3/W9HFw DyKGRetuo6C7GOmJjt5CGcuXpsCEU+Wsi6ALzF2+g+9e/ioCZRFPPfEJUQ77KRy7s2dmMVGx8cUv fRk/9eMfRblclPc4OeuNFp584mG5P87tbBIfjnm117KbPqHWHqDbtyNc+2x4yp95B65EU9Bjo5O4 CL/nwuvQG0sRJgaanLd+D4mjoeV6UCOClUPZ+N2eJ01VJqcmUF+uw+zZ0Nsd6LtRVrn0Qu7amnTf GbdHizfaqdBSGsaNYKyEYpF2c0NRYKeatB3iJGIbMA7kYZDMwiLH+r0WliCKgzJ6t6dQqJiYmm5A 6d1FZIxjMb6JBf91nDg+jicff/hALMOTJ47hc5/+QfzdN17Cn3zpb/Az/+THhC6n23PRanfw8LkM cyWKd2Skh4dbGA9iootYKlpL262tVHCwQg+LSPv1f3PMBG5oItYcqJonqIMgMaD0llBMOlDGKhJ6 MfVV8oD82TME45SLiMMEXs8bHR8W+aUXu0Uhg6PiGpY1cS+Bo6OZ5H3SMXJvp4R0sIfj7usARyUZ ZGADWAMzNj5R+BZmJm4g+fvfgn/nCoyTj+Chs8/gQx99AkrcwJkzJw7isiWj+PRTj8DQNfzH3/kS nv/YMmZmxnF3fkkU19TUWJ97Pgv2vxsUFi0T4iCZeXPZbDQi+0IW2D5oZbQbkQ7reoywWAYdHyVl hcUYlHoH1UoRZqUkFbxSutbPMjtFR567YVuYLDoCnaGVvW2FJZmMDawyBtuYHbjeqkmpRc3uoWa7 BzLQTJtmHTtGWLenRFIXRaV1WBQWFzRdwo2yhIxXdZcN6JaCkuNjaWkOql1E0ljAlKPhuQ89g/rC JQFmHpRQaZ09ewIPPXQK33npdXzy48/hrXeu4vxDp6UcJxdx098FQfesRV0G2Ga1SUKgLxVXPyOn 4Ggr45KjIFQK8EKCtEuw3Sas2WnoJqFSyoZZQc3KCDF11pKtZ2u45wvSLYN4G0na9H3UnrAi0g1c L4RHEMPF93LSejIp7rdkHWGKaPfaQ2GyhhPpBz/0p3OGhpxddDABMNhNhzvKViDX+wmtEWY27zm/ CuhmgqinQi1VYZ9+BHG3CdUpIq1NIr7TgGkyUXCw2CZivc6fO4Vvv/gaPvJ97xML64ef/7AkPAah G1RaGWI+/5n9vsqMkdVo8nOCqlcATzoBeYL54uEmJ8cxPl7dRoPdgxHh2GcMSwqhiY3M5pB5xJUW i7lVW4VmKugu9mCaCVSGZDbKCvatq/VQlnvoZTJof4yy5YuyIS9P3iov7zpTMALcatXEotpIGBej 0prvloTqdbDV9H4IlQHhDQSGElM1KHln5Z24GDnxDnusbdamaOWzipLRIpv2CrI+p5uxjYwumSav H/jC6rDTtL0E3fso/NXrVKCTIdTWsLykonVyDOVnn4d38VVox8/hjXaIf/zmN/HkozM4aCHyfWKi hvmFZXQ62TjkcUUKkxyN5Sb+7b/5HZTLJUHMsxfjwuIy6o12hvTvs1xSHNtCtVoWJUXlNzU5hice exjVSgld15NYyQefeRLPPvOUNNM47MK1w5jWKGLNBypMmggTL6MVCpTmIvSCA2WT+CmVFbOC60Vm hrSr1wJMGA3YVgo1iaD5LejNLhD4AqY0js2uHJyNDdlC+mJ9SnaAjYQD3A5szHUrOFZqDd2+aFRC ZVApVFZZQPMdGwq80BPWhm0fk1zwyNoXWerWyQWeJyczy9HhubIU31w3VtgblGBnk5G3RAtFhYpa aRXPJIHq2IDr2mjPmbgSA5XjZ+DXYly8dBVf+qsv49LFN/DUY5/FQQvHYqxWEQXD+kFuNoxX5EKF 89kff16UGaEQL3znNbz51mVRSk88clYSDoRClEpFVMpFFIsFFAq2WFZvvn0F33vjEv7mzjyOTU+u uM/f/e6bYn19/OPP7SlP/ShxTln93hGVtA8SFQYQYKlXQLI0D23S2RggahjiDm5keem11lsoqD6s 7l2YcRdKklXsq4UCYro0BEi2uojbLdiPPCpKi4chWdiY3cPdbtZzbDOc1qJbkIuc3WellYNIB2mL V69rZ7zhLFHSEEngPYYuv28pmzabXn1jJRO2wysiPUcUxit9BrO/EiiqIvI1RJ6G1i0LN29G+OaV f8DL73wZd2/fwPRUTdzJgxbhxApD3Lh1F7/1hT+TCoNBy4eK57uvvi3Kp93p4eatOfmOHYa4u7S0 wk/GCGPH92A2mxkcgnWLlo5T545jabGOOwuL6HZc2TzYWKPT7cFx2Ej2EVGaBAKzXnFomp59lBzf mB7Vbth04/vA67Zvo9FMUEpcaE6ZO9aaj9L91x2CvzcOVejTyU0YRJFOFaEV2LQww74orGeiVcD6 sChCcOUSgtu3YJ08lRFuAZhwepjvlTYMwudCCooltyDUEsfL+1/Gs5Ey2E2Jh8r+gkKTwaLPrUGp 6xXTRm3od66s+ruvrqHd6fY5sdYqIPF6ubPFKjqtABcvXsTVyxdRKtiYnpqQRbqZ0PLrdrrykzHB nMAwY29YLdPJ/p3BQ1RVk8JldthJB4Ll0lgzjOD6gbhz/HfWadoTGMOrr72NK9du4fKVm/iBj3wA X/7KN/HVv39Bvr9Ub6Ln+fj0Zz6JmZmJrNBaybjOkjSrZ8xf+aCINSIlRdnf+Z2smUaEu3OL+Ku/ +DqOT0/ht/7jn+Du/CJ6ridB/tOnjgsl9Oc//6NiwR0WyRtAJNI58OgJ+wekLGxPNCy2LRg3vwun YkO17g0pGba9JcxGr5w7mSkgXc9cvk0Ws3nuIbS+/YJQlerl7GGy/U7RCCTQvpVQaS24JfixgbLl Sd+1jVgm90t2oySyfCgDvxk//K6vZTf1ceIS6miGYcZsOhCSTBNFEMb5NbLMqNfrwHVdFGxT4AR0 p2ixsBzGDwIBbdI1408u4uWlunR75mJn7EgKvvvAWsaNCFiVAHgcS7yB7imPSVJDKjDGp/h3qTOz jBWLkJaMWDWGgZ7r4ruvv4Nf+K//c5w+OYOZ6QmJQ2VKMsGrr72DV9+4KHWFk1NVLCwtokBENIp9 NtJ8KDJ3m/g7Kk6enwqv3W7DKpgYGy/Ldd68cUcyo089cV4U5NLiMs6cPIaC4+Dmjdu4fOm6fO9n fvYzwol2GISZwzA0kBzFXgs5Na8CdEMT6e1LEhu3CFtZt8Fu5QrmoqvOcA9FK5Zgn30IvVdelnY7 1omTYMnehNO9r8LKlRbbF7UCC/PEaumhZBwPAvqwGyXBZSH0rkNe9Rorq/+d9d2f76dABzvurBdh TU3Ifjrw8FMS9WnC085NQXci2HoAa0JDfEnDnbmFrCGqruPNt6+iVHRQcGzYjg3TIEeRIfGe8fEx TM9MwjIMOT5dSLpMVEJURjTf+ZPKJUOlD2T21lk+WTaSuKqsnCjPkL70yps4cXwWP/9zn0GpmFYt 9WcAACAASURBVHWUzr+3tNzA333tO6I8c5JCQiE6nQ7qjboovEKpIJ/1XV8SGKzvVPVMGTqFQpZF DUI0Gm3oVhVWoYax4xfw+q0Ydu1R/MjP/me4fukN3HjndRw7dgxXr17Hv/2N38VyvYGPfew5HD8+ g2q1JEryoDKq4sEcNUXVF0XcQWGFFFCs3l5A4aEJmGNVRAR39+OV93MFcxk+iMGs18mT0KtVeFev IJibQ+HJpzBu03yr92lpzC2Vl9BPxGwVr0nxdIYxUSS2FcY6bD2U1167jbuxsHi9qVBoZAtws0CV MJAONJogE2kOscipmqW8R+rp4o0bXDoZDzw/x4asPXd9oF8R1L2mrsInsnMrorDchiGWVuir6HQC YVa1bRvFWgE//VOfwk98+vl+DSSVzipTAyEFysrPTMHI7yuvgSTGoDu2TaGFxvN3ui4WFutSgJ27 A1RWf/TFv8bv/eH/hzPnz6HuapixJnBslpnCHsrVknyOCSFKUsngDuKi9pHSwrwBUiSNI6mUkSo2 zlZjzDzOZp9Uojos28HDTz0Ht9PGGy9/A+XqCxiv2Hjz9Yv48z//W5w6OYNbt+fF2nrqqUfxL//l P18pI9ovISZrp52dD1pZZb/kZAQqlDiAbmjQhQ1FR+QHiINw06zgetlW1JUmnFGrQXvscQTz82h/ +x9ReORRTM7MrrRrutoYF9PvfkLl1QkteE0jW/YsdlRTsbzGnJ4UU6+nX92NUElQgdDi2UnzUUq6 gnY3YClkyUy35pQPPfiRf49VRTzWoJLayHIS5ZZmhdx5YJ4KZz38gQs8YjXzmnNnLiFfcu9pgLvt G1hauIHxWhHjtRKe+cDjOH1qFgcpvEcGwJtdH3/4p1/F1HgZP/6pjwkc4cWX38Abb13GL//ST8MN AvjuPPxwCh4MmbQsTh8UbiBhwsadGbBXVz3EqY5uPAVXHafvLAqeodlaIYCltqGDG4CPoODAHzsB zfgY/uTVf0ClGMMwdbRabXz5by7DMk1RUkvLTfzTf/rT+6+wyNOuJkdOYUn8tG9dUT/E3Q4KBQNq 3+2jgjIcW0ChypBUTdtPE/FEjgPrxAnotSp6r74iAUu9UpXGpCcrDdxojglT6X3vp9+ePJcwyVgT aaktmwWhraG/O4oHRb71jtdZ6R24G2EMS90i4J7Letdv/XvrJWsokWRlCEmCTrsHxywI+6TnB5hf WkCj2ZJANotDSTJ46+YCwC7O64+f9F0JFWjHi3hn4QVZrJVCGaauwd4g4LmfQnDnpUs38PffeBH/ /S//nIA6//YrX8Gv/S//ByYmp/Dcc+/Dr/yzn0PRsfGtF1+FkkZIwzZ6Pp9eVrdKd4/j1emF8JMK EqOGVKsCKqEeWTkVFZhYw0oCS+nCIY2J2pLWbrS/ZKwUskGYmDql4tiv/gKuvPU2nvt4Df/tr06h 2WzhztyixNCmJmuYPbG/heIMtvOlHzFYg0Kgr/ySWcDtwETcbmRu30D4QjbjbWSrd5zX5klFSU3O ILx7V35nvIQB9YfHF3G3U5YM4nZFlFjaJ/XqK7NRxLkkKLvLIlq6gty1h7kWZsO++/JbePvtq/I7 g9aMpdANokLKgtiJQBIoeecbZuBIpMf4El0xyzQEskB8EeEYmq6IW8fPcKO4cP4cHn/s/L3XKm5R ishs4FrjW1hsXkOxWITntuAnCRaX6jgo4Ri89r138Bu/+Yf49I99HO9/+lGEiYJnPvQ4NEdHpVbF iZkxKEaCK7ev48bt27ArFmabE2i1OgijNMsCspjWGkcUxEiCG1DV21lbKb0Ip3YGemESltKGo9Zh aT2YGkG7moynpjrrMovZwjo57uCJs7WMzlnXkSTTiONzGbOqogsrietlmbuisXfhC3og7K3AnyyE ZvuvIyN5elpaemXUyXVWXDTnYB+zoW6Rnb6f7A6Iww4ys7PovvQdWGfOyoVwkTAONV1si5U1TEB+ M8VFtDxxXl5sSFlCkYHjHWYXd0tjLHWEIF10CnNd78KNpFFv4erVW5Ief/ZDT4o1IM0sdK3/Mwtg D9LYrFrEOWEgDSQFlWIVju1IKr/Vyzr3CFZOUVEtVVEurk3B0xVkSyQ/beHVpT/C7/75v4PjaGJV KEmMgq6JdbZfwhjVnTvzAl0ghOGNt6/BdIr41Gd/Ch/88DNoK4zVeTh15jxmj59E6HdWAvPdgovx sTEBeBZKRWiGLvFnyywgVRn3sBEFGpQ0y3xmG5ICzVyApjdknC0mEnRb4nxS8tPnCd9M9EHmDmaW +hZBiljCFDwDG5bSVctpVEYtOVc62Q/yCpSjIgqptLMJKmM03y3AvXIRtXgZVuXhTdHtw8iukYNa uSzKqvPtf0Tl+39gBaNFk/1cbRl3OhXBYW2F1dpMODFI3UylJ5ijfnaRx2aBNSEVwwbpcxbSnUqc amJdWUpvqO7QAm60TJw+M4sLj55bUUBrSmiGDFabli4ZNCsyEGFt4XWYBIhTtgUZWGTsSBMmePvy m/jHK1/Hr//P/wPstIHf+cIfi6t54tgkzj10CnspVBwEe37h9/8SL792CaeOT+Khh87i3BPP4LOf /xxmJ2yxFDWdsUAqTxarcnMzgTRTwNJPUzFw+fJt+F4gGUmW5zARwd6YlpGj1NfGlLLm6GsV084S AwqWlwk07eD48eMoFnlsxiQ1qVRQ1QzmYRgstFcQRKQ1ohVHJljWNBoIQhI8cjxCpOtYN+8Zs75l xbAI3UCHFDNHLW41AGVoBTbmu2WE1y9jIppD7dGz0KuVLWEL9xOdGnA3pHs0zQkmDZtNuBffhvPI o9nfqbT0EKcqDfl5q13dUT1UlpXLfo/JNR/rMhACDuxbc2OWJ24jz7OZ9TWKzCDrB1meM4xI5s3I LKjdpsOZLGCgPsvWMd6S3Ls45R9ZQiHwVQQe6YZ7MJQOnj5XwK2bTUGUT02MyaInS+peCBUiKY5Z QvPXf/ciPvOZH8E//5VfAKwaDBWoGAEIJl/dPwaKyvto6MEJzfgd8VN37szh5o1biJmwiBJxb49N z+DE8RMZ99deiKLgytXbWFhoottjzO0SLly4gLfeegtjY+NC+Mgx9X0PM8eOyYY2NjUjTT2Wluq4 dOmajMfk5ARsO8Wzz54jgi9rQqqQWIBNOrJ7Z70g0/5UUFyP7C14WMgwtyV9ephW4GDeLcFavIQx 922Uzp2CMTZ2X9jC/WQkBH4K8TCPPgb37ctw6zFM7oIGd5MEhgZMFXqCwF/qFeGG+kqXjZ1I1vKu X4ZMP5/sEIEl/PIszCYSvWZ7kmXkA+fcJ2xidw0MskVEtH6edr9fppGLSBhJ1xVf70SYUWTSgIXU YikOnJpZRO72lKz5KdBrqLj7VgGhNIntIQx8NFstYXWYmRqXeAzdp1EK6/xeeuUNfP0bL+GNt6/g wvnT+N/+p1/AyZPH+mMW7GjLIC6rTFbY8SpOnjghLdyoJEhr7QyJIdyxpCkefugMnn5aQ6edCh6L 90Js1unTZwS4urS0JDHKE6fOICDDawTcun0LjmPi7NmMJocblmWmYqW7keRBEEOTGFXueTALWGIi 4SgzMqSpQBm6kYUFtwyzcRPl+jsonD0BY2pq18qKopMsjC7VbrW55hSAhz6AP/jiV1EuV/Dccx+S hpg3b97C6dMn4LpLKFdMnD9VQzfIgup09wiF2K3STPvUNjmcgkXXN5EVA3MHY6ZxprC8Albcnigy Ebu+iorpwdDNle7OWwnb3QtT5oiofQmKZLfqarGKRqeRFU338UarV5oNBrmwImJeFA2tVg83b85J ALlYZuA+EddqO92itxJexze+9TJ+8z/8MWZnj+ED73sUv/QLP4XpKbbuGo1SZNypWCxhZmoGbbe9 im/Ts+xvDv0YvaSo1fisA4yPA+PjGWQ4s+q4Iac4Ppt1/InSEL1QgR2YaBYuSPMFhixYvkZ2E26x AZkoVIj19CCKkqQSb57rVaF2l+HMvQb7xDSM6ZmRKKsVl3BUeCfDMnDy5CmJTdy+fVuAebVqDYpC lDS7zISwtASm7UvhNJXMYq+A253qGnjDKCRXS9zBiLBv+sdQVFVU9Zv3jUENKrXQj/HKi9/Db/+n L+HC+VP43E/+MIoVG9VacctFkvFc9Tshj0C4MBl0ZxszKi0uWilvYcONAWGzyeJkD6eev42vcRe/ 4eDNd65haqImCo7Yq8XFZdyemxfyvN1YVF/8s6/gL/7qa1JK889+6afxwfc/PvKCaio9diTKmt2a qCgVgadQgXMM6lEdhmasUPmMnu753uc3GHbIfzeUWKx6vmZKraxVnrRyjxHEWe++3NV7kKXhOYDb QfH2yyjNjME6fnxkyoqim1oilKwczN2laFNYlodPfuKRlX9zOcfdHnpvv4G4VYcxM4O4rUJl9JL0 t/0OGzRG2L2HD3mvJEk1dOJjUJQEVe3WpqDP5eUG/sO//yKuXb0t5SnsBH1sdha/9mv/HZTEx+9+ 4c9x4+YdVKpFcVdYCpLX1uU4KskpKgrOnDuBJ598eCTXn3Nq5QuTr41jbXxFQEmBN67DtIqYm1+W Z0EWhOPHpmXjIEXLh7/v/WJtbVc8L8Bv/OYfoNlq43/9F7+Mxy6clbHaK5Hx7Wc16f7WijVEdiQK i1xiVOaM61FZHWQn7jU85kwO6fe3xI+0JIngrSjMCspGz+dw6w04FUvK9zaij9mN6BxUtpc2ktVO FzuWlCFFf/Wf3IEKOorvfxKx6yK4dQudV16GNjEB++w5aBa7SWf1iCQNZMuwbmjtGVmZ0DhHs2Ke 60q2AHTFl8YSNPUZ3L07twzPDfCv/tX/jkq5LBkbppgrViAK9kPPPS3xoHqziTiN+92XVRgSYN95 Y1Vmvhwz47GWUhzfXUHm5yKZqU0CzJwrPTfB3bqBsh7BJy+4bWHMrGBubh69XlewX6+/cRHvXLwm 1Cp37y7i+Oz0tq/1+o3bkv362f/i03j80b1tcJrzusfrsqtZlo5RxQSul9HG5KyuhC88yE1XD42y Ysgjt6iTBBEL7nttyeabteqGbAy7FTkbzVYqiT3j2+GkKxTgnD8P88QJqUXsvkjs1hkYU9Oihdn2 vmT6WHYLWOiVpNZQrIX8EPL/LAMhv+1QqRFP1YxW+/DRPST62VRb6DYX8YXf+xpuXJnHtWs9nHlo GrGaoqT7QKIwRygAw2plEoXCFPxAQRz7iJIO0tQTd0yQ9HyQ26FThiLxqYJdWFFIXHi0HAYPI/WI bPm+gVUUxgq+edfGl4IIv6ibmE9U3CjpSO0CFm/VcXd+Hidmp4UNgeyb5FD/xjdfxk/95I8M1RJN ejaSFSJOsNxoSUHyfjSGYJIh7023Yb2lJVgDsT5Jic0xKjmllUTEe7JHwXXJBq7OG9pZDU9Br95G zTahl7YPGh9aYdGvbvpE/yYw9hL30VdchcefQNSow79yBcHNGzBmT8CYnIRuWZgudFCzPCy5RbH8 YukmS0uIGUcGjLMaO5cNGuOs0yzjA1RgO4NNqOgl4/JKC2fwuV+cxZf/4P/Bd77zBkqlKTQaDSwv L2NqahpBkHE5MalA6Xa76HTaQvEye6KI2VkqHEisidYR3ZQNGRb67KNyftKzbPC5jSwELkYGnYlB Wm9p6WqKxyoxXrxu4v8sqHiqbsKI6lgiNQk535MQH//BZ/HZz3xCSk1u3JjDP3zrFfzgDzwjbJxb 1kR6Pi5evoG/+/q3cfnKLTSaHXzi+Q/j+OzMnlsyuYW1WWEKx5LuMTOp7PRNRR/G4UrR+HsyYuE8 lcy3IgyiuQRRjJZXgNLtwpnIyvf2QlYokveTm0pM+rFxGNWa4Lf869cQ3L4JfWIK5sw0TKeA2WKA Y6VMIbEcIosLELbQ51XvK6m4X0RNJkNyzLPdGIP5O1FewsPuFFGqjklBd6lag+v7SFUDxcoY1F4L jeVFtNp1UVLjEzXYNouPA+F44o5PKhYuICoXBoZZAE0ll+OluJDYIIMxH/6bVhStg8z/X12XmUK7 lw2C7g+tBwbfB4VjwXBuVEzwWs3HDTNBuxRjanYG48k5eJ0GFhbq+Df/7vcxNjGF4tgsXnr968I3 NfPJiX5jWPIu0a3KOu/yuhvNtpDpvf7GFTzzzFP4kR/6AczOTAolDd3hvRZRWH0q6Yws8N5zcjyY iMgVFoPw7ymrPRCZoxlhIwn55E8Cu1Gk/jdarqOsubAqtV2h2beSlYjYPsy9e4Xc5mNjwgARdToI bt2E+8brUEoVcRU1h40XNdjQEKS60GyYRh8TRcWlsAwWGNd60sCV1lgnNFF3C2j4jiiv7RY18HxW qYYGyliMi7BmzmB24jy6CVAo2Xj8pAaktJ4Yq2uhMpZZabrGVLuxZhGJYkkLGU9TFPbLRGjJrj5M KjdDMxHFVLxZ7RWvuBVqWA51FBVmlhjE58RgcF+B6yZI2ElGSncALVZwo6nh9xZU/Nl0D61ChFeP 9zAzBxTLFVx//S205u8Kl/mx2RnY5y5gqTyBdifA1//hJanlY5kQW8S/c/kmFhaWkLLecHFZqFWe fOI8/sdf+S9xfHZq3xVBprJTRGG4qcIabPrxnoxYMsBjn5edjSRoWa1a90GUYrFjwmt4qLZuoDpd hD4+gb2SAYXFoJkKfZ+tLRG2xCqXoT/2eBacvzuH4PpVpLRuOFaGicQoIK1VpEss3UqVWal1sZf/ n703fZLjTs/EnrwzK+uu6rsbQAMEr+E1nEszlnakUGilPcKWrVh/8BFhf/cfsn+CIxzhL+vY3VCs wyvtKjwra6VdaaSVqDlIDocgCYIAGkDfR915ZzqeNysbjUYDaKAPdPfwZRT7QHVVVuYv3997PO/z aGoqmCsOYFf8QIavKTO/12kx8uLnfJKxa2aXylhZXsH91R0YpgXT5qiFjiy1oGVsYbOewrSO54qV rVR2lIMK4vwd61N8PMniWMdXqyb+qqvCpMNKFdzQDdwsW/iHno7fmopQslL0BkMsb9nQ4wq+chTc t2O0PB1cHn8TZpgfqXhtw8aA8VnWx1S/BH9xFmGthrcnquJ4fv+//X389Y1N/Os//hP43R4++Nkv Mflv/wy9/kg+79ylS1hcmEbJTKX7d+3qJbRb+TDwyzC+L4GuhIj8KoipnrloKs2/iqNial6QSY6d 1XZfRbK1gUbnNpx27dhhDE90WEUdSz/pOtYzjFGVc2UR4INpSRxjOEyh+COEnQ68G7dgV23YszM5 Q8QBbVM6XHYea7aHKKbMPKOi/CR7sYFNzxVHRkuFgWHPKIhhojUxhf/8oz/C8r3bmJyew+ylRdSb bVRrdcS1xfF4DqO7EI7aFW4lOjIB4ZLXa18QwEI1aYiFDG9PhCAYLc6OBTru+MBGDLwXavhFqOCT WR936hG6UPGnPR31VIGfGegYChYGOlZdH3+/0Mebay5utIco+Rqubtioejp27BixluHmvAd3RcOk UkG9TliDi/7Qx/e/9V2Ydhl/9G//BW785Kf48Qe/xP/wP/4z/K/vfwOtig79kONHp2mSVn/tr07P 0rywvtdJ7bUgBrb6OoLVDVR6d+HOTwoRwv4g4rht924v6lhnqkwpIokGNNeAUrIldRxNLSJYvYvs zj3YszGMVltGg4pyj+cx9cpn+HSmTVkInTUzhi7IULV8IQjs+bY4Ki8y0Y9Y+9Ik+iKZ2De++V28 /vb76O5sYemrL/DZL36KrdX7uHLtFfzTf/Y/I8nyDmaimOgmFahpBCsdoB/HqDvIIRBqzhDJ8Zxe z8Pdu2tCPUxjkZ01KuFIj8kB1sAg0TDUFWx7Mf709RhLtQSRnmHgjKDHCpoDA6v1ABN9E6v1EL6T YEEFGlM+YjNGTw+xhAwb5RgDM0U50FAKVFi1CprtGUDbQrXewGdffIn/7q3XsThxFc34h/g/N1fx xrUZfPcbs5isCnIOZ8lYJyMYNb9nvvZYp+asmIg/YXyLpZbtkYXuxgC1wQaqdFazs0caaj6sPSak epYEG0UCaoyA7+6E8EYxVM2C0riGASzYKwNYcQlmvQ5Vpwaghk9vrAi6vuRaKLsG7j/owTAsXLta hTKWmKeaNQGrxXvQabHmxdkun0T5wveVoTTdwvT0D/DdX/sOvvrsY9z8+G/QcvpSswrHIFeOGCUp 62um1M+GpNSJfHFaxLglgYfhkMrDGoIgRr8/EqUbcqjTmQU+sAoLZjxAG45EYnagQc1S1IcaPCOV qG2nHGG6Y4nD6pdChM0YbmcHK70tpHPTmBoGSB0DA5layDDQEwz0FK6lInNM6MgBsLc+/wxB54HA G169NourV+axubkjlMSTE02cPcsBicIfdgxzmV/bYSELedOH3yZJtkuDxPuR5AMjX4Pr30W9YcCc obPS9jSJ0tNxWJaWCFCStaCzQGvBFCuU0SHquRIDpKPT2YHvezKjODk5hVLsQ9/YhKkBc3NNQar7 fiwnmvUPQg8ajSrSlCICj78HTzFnvfhgeshuR87qmiKM80FtHRE2rFDUVBx1iIabwotZ3HdEOShJ SQdiISYtSKrCH1rY9FhP86jtAtNOMDNjSaerVvNzVZfx7sVFcCkLkcQqVnc0LJcdxKqPOjVs9RSe lcCMVURaikRL0RzqqEcZhpMe1tQEXsWh/DOHrNB1HuLU5BsOQjs6RjUX4epdNFxVAKOfffGVOKfJ yRbm56ewurYl9DVn0XJYw8H1wa/t5GpXLKxzgL8/SLGy0sPkZD7a1fdV+IqFbLgD3UgRlZoYDDOw jxTH5CkDbPvJWgfH6rCIdCfNBW867ZTl5Z8UXXHO0dETNBs2RqMEE+1JERe4cmVCSO1My4IfZPA2 HkDbWcFi00K1XYdmOxh4PuqNyzBNqro8m7COjQemjLtm5BEZHc1UeYSa7cPVR1AVC64RiBLNhHAX qfDpTKkKFFiiv8ZzuO258HQDLVOHnXWRpYnIThE1UIyQSDGbgF1yxcc6flnNcHXHRuhkiPUMN1UP AyVFqqsYllJ8dKWPUEsxMjNYuotaJ4YRpdiqVhBnwFTPRGCkMGIFiZah3zKw+Z3LmPrT+1hZ76DV rOPml0v47rfeRrXs4triJQFlvijP/akYUewxN6FzSLdy3lLBdLzpSYSlot8b4rPPbiMMr8LzQlEs ajabGA2HgjU0u/xDH+VyWQKJudkSZmdPBjRKe6xizeI7o6yjzxa+mImyzh4QaB7pZahUFFQqPNx8 eLRa4dAvb7KRiC9aehPhnc/RzHxoXQ9mVkKTHYux0zmqFWM3pPfd/R1hFeNhVkZoZSPAjlEStD6L ++xG+rGJrlqHVdJgpD1YtoHRiJJUCahDwVGsJHXQCXRUNAv/VVjGombDVqiGo+LmyMenZQ+1QEds plgzA3xYHcKIgJaq4ge9Hnqaig3VRdpPES7bWKuG2KxGeOCEsuU5//gd/HBmDo3tHvywB39lHffu r+L6K5cxNzeFL768Iz9fvjR75vBLQly5Kwv2so/mojurdF+RPcXERA2/8evvQTVdbOwkcPsbsKIB 6nUTmV1FbzAQmh/OqYahjnL5ZNXEH3t1RlmDMZf0y3BYTAPpMKXerpKO49m7qqH6iG0D+qtvIfZD +JzzW7kpdS1zeubIILbdtIS83vtUa/afOwpnsHa1NixLri/qQKElzqtpq5hacBBFCQbDCL1BBEUz 0R9V0IkcgU68aeqolnN5LZ79b8HB+7EDlPJ1NPIyvNvz8NNaD1kpxu8057CepIgeeJjoaPg/tFjG ibQ05+EcqsC2CwynMnzfmcCqtYj19Q1hAyVk4crCPOqVm/jJT26Iw5qbnXpp+nsHGjF3qpqzXxwT Jc7XdriOYJYlMIwUlRqwMUwRaTbaVgg33oReacCcbUJRy3vwzfqjhIwnYPpBYLyXVb/Kea0UwYKR y/qwltehxs+3yAPeRmSq8O58Cq1ay+eajho5EN1LJDgT9acYnbylx+K8ZKho3N0iP9KGR2Uhytwr iEnwV8nR+oRovSN0uCQcTKSGmMuepbDUZFdEk39XdnT8ZmTie4MpDLsJypaHm34KMyxhPVCg10ZY mvDRs3PVGL73PS3DX4Tr+MGDAV753n8Nt1zD3aUH2Nr0YKlTcLKr+PFP/gSq/mf4B7/+bVy7uiDq yGch2hLOLzpvjjA9ZbP42l7QeP/nNYoD7xEZzYpVKccYO3dhRQ9gTE3AnJzMUcsslJ6iu9APHHXg /BnrWKcNImUaeAwD2Kx5xfU2YreJaGtTgKZHjbKYnnmej48/+kxGcnI6Yjqf/FiF2k1k21NYpSqs 5ivQDVu6ido4UpRxIo7nEOtGZklBtWfiqCpmIE4uL/izD0n6Zzq+hw6y0H4U5RbXEJGOILbx25UI A1L49lT8RljF5k6Aj5oDDIw0H2GwTHz+xmv4L3M2mv0IW9s99HZi/PJnPby+eBlG1sbM9Ay63QH+ +N//OV5/7Sp+7bvvYmZyBmlkQ9VSGHacD3efshViG6xfnek62zm37IBRl2yMt+oMdcSdDprBMtxL M9BbT549PWnTOTS6d1SExhuFOmK8gU6TXaioWx01IWGUUzJjbLcXENz7BNbM7JEcFp06xTMnJlv4 4ovbIrlVtNrlJipuKmSiF8jfvf+dAV59+9vwM1ccTTFJ4Bi5eIYIYxIhrzCiTWWTeJajLjjs+aCR G3ybA6cAZhs+plo21vollDcmYAUqbrSGGJQjGEEEBypu1Rv4+OP7+PDDG8h8HW29i9cXM9RmO7gU zuAH33sbdx7cwt/+7ad4cK+Pd954FxPW+5hZMNG81EOcjnD/wTq2d7oCgJ2ZaaPZrOeKQOM60/Fb nhIKr8bXRayTGWTeA/bkRAEl16hhECYKegNguNFB1VtGpe1Ab7xc6Ite8Aftt9NOBjgnyLSJb3wc 5PvSXWQ7/46CZDTMtdCOcENNTbXxB3/wewiDnOlz/81JgCN/7/kBPvjgI9y+dRNK6uPanR3qwQAA IABJREFUK1fRnmgLToWRETeBp4llPI/xtZq2JzxincyRaGyqMsK3NAtZv4kfZybuekM51qu+gsbQ xPqNDPeXBtjaWkbTeBNrSxk6GxlGm3Wg8w38xjdfx1zjLfz5f/wF/vj//hCzjRBvvjMJ6+YyNrvL WLqzg621CLEywsSMjeuvXYFtGSjbFmamJjA3N4mym5MbHl/RPX8tRq9f23E5qnR3xL6IrsIE6Hqm bISRHwkxQTYcoprsoN6ycrzVSxrRKkznhDsZBPY6LYE1cMc/pYNg3YpiiwUWTChkjsHIH+a35+A/ eADNLR9JwJE3PamA+Xj6e5r47nfewUcf3ZDHaOTj+z/4JqqV8iPp3XEZU8umM0LXt9EbGYi3CREF 3kptzHUcfJVW0C9FmOoYMNc0jIYdlOtt3LzzCT745C+ho47Nzn24dgObd120JzO89c4CGs5V/H// 4WP8+Od/io9uhdjo3cZG5x7mJ1/BTPNNZGqGzz+7g49+ujV23j7aEyauX5/FO2+/Ctd1sNPpiRMn fIJ1KKpXsw7YajWweHlOOksEgzLVJnC1YIrIa4WJRKpMu+8/WEO/P/y6hnUcVswHFj/SARGylwF9 38B230RptIas10UFI7i2AntyCkaz8VDVaNcz5OP3xGvlkJN0378ffwFeJ5PAfgaB7CXgrbIxpOI4 O5OGmsGYnMToi01oS/fgXL6Uj/GcoPHmbTRq+OEPvyddv9W1TQz6Q3FYJ/J+yIT4sKQHGKQa7q83 sbnkIjMUAdO+lhi5bP2IBfkEtyeHiDBA2ami52/hv9z49zBUE1Wnhb/79P9Fae51NBYNNKeaePe1 7+HO6k10wnvQqwuYmbuGunoJVWcCrl3F65O/DU01oGsG+t42HmzcxH/+0ef4+KcbKLk2draHCJMR oA8Rp4EAeN9+8zqqtbIoP5NIkDCRra2OOKqZ6Qlk7FhRgFNS7TwNJLvp5Stzz9wsvrZn2N5B5j2R EksWw1BHpwuUtr9EU9mCWrGR1ibRDQ3EmgM3tpDEoWAI01QRBXJd52hZJrVPYh3dsp07r5QiJ4lM dAgIXaNEXXZ8KSHrWHu7hcopjejIxHfC4WRFNNqOG0bB1yN2q7d4Hf2vvgCUJTiLiyc6Tf5IROZY Aoc4yXZ8cd34kUpOilojwMYvXUTens+oAqoFqDrQdFv4/qu/h2/P/SMoQQmqqoOKi/3hNpbWP8e/ +dGH+NlXJTjqDJrm+/jt3/0+qo33oJc02OZlRPfnEG45oi6936I4wMr2Ldzf/EKipOtXSvDCLu5v fYH7GzewGa6jOz8QlP/y8ro4q52dnkRi77//Dbzz3pu5BJlJ+mPeFCYyxYJhlIR/jKOYaZRA5XT5 +N4T9SB+fv7uJacrZ5/SGHm3e0+6znPoRRo2d1RkK3dQM7ZgX1mAVqljayfEL37Jmq2LVquOQb8H p1SWUR1GVPW6JZvy/fsdlEoWTJPjc55km5ZN58U3SLCwUEa1WkAejmaSh+2n7eCNfrJoirzATmfF dJD1ppOS/CYTZ63loJcuwrvxoQxpkhHiNIyqQTjBdrxgk+IYmmYgGGjYuuNg804Jcbjvxk2B1APC ezqq5lX8+uJlINWRhg+j6jD2cWf1Y3x27+/w+U82YNrb+I3f3MS3FiyUN26AtPfaaw7WF1tYj3VE Qx1OI4Th8MUVDLZM1OsZJi5fxeuj6/D7OtI4vzHiNMTq9m384s5f4ubPP8DaxA7a0w6SiHrVkyhb rkwrRJmCFplnZW2r0NgqGISIvrojQ/DR7Bx8G+j1trC+sYWVBzsY9GKhua7WDVy7PiuRmEWp5WMw out//vNP4XkBrl+/jJkX4L9/qZbtoYkpalXjoIT33yg24IU6Ii9AtnwbLaMLd/GyqLnTLEvH7Cxl zNi5j6BqGUolXdZdGIYwdEUc1aVLTdk0BgNyxEWC4yuVVNGP5OM4PYnOCIA1rL0Fq5Megi5qVqyS EWfEOsxJGuEZtXYZXcdGMhyemsNiJJEDHk/u81EFedQBVj6po7dqwanHMMwUoTd2RoRIWBGMUiIO JBrpQPx4amXqNl6d/y6uzb6PMPKQuV288e0Uzuf/GoOP/gpZGKLuuJh47wo0W0F/2YBhp2gtjjBY 55ykgvqch/qsjyRUsfPAQX/NlO9NN0F74TIuzfwvuLf6QzzY+gKD/oakfy2zCdWJEXW6+Is/WoVT XYWmpag3q/ju+9dRvvF36P+XH0FvTMD93u9ga/Yt/PV/WsLWaohgYCMZmSIeotkjfPnxl7jy+jLe +841zM5NSUpyFBsOPfyHP/2xpKo/+/knWFiYwfXri3jn7Vzd/Dx0AJXixz1gYJZgSLFEh6VHI+gP mAb2UFm8uuus6GTKroa3vjE3njDIgxh2h3d1FsbsLg2imiWIKyFDY6yXWRxGzhl3XAPRelG/2ivl fpLJYDxGstNs7fTkuIWmpOwi2t6C2W6fmsNidLV3nOc4TRD4JBbMUqh6CM3OueIVknPx37kjtkNM XvVhG30kMNHdqWD7K0iEdJBpqg7HqsCqmqjUI5iNFtQ3voVk2IdRa0Gr6ZhsDVGfVLDxZRmDDQv9 DQutSyPUZnzU5nxoeiZfR1umiLqadJaJgs6yjebyPN6KLsGuhXCqsfxusGli0PPRT+7CGy3LOdPK DizFQjrqQ6+3oTllpJ0NGLMNaN3XMJnV0F6Ygpa6SGPACwdY2f4Cn/71Ddz98mNMXzGx+Moc5hfm UKu6kk5KJiQIicOtcDYMkjiRpoBpGNjc2Mb6+jbefuvVMwGqfZqJ/BYBtzmwb/f3DEQ2PBdd30FN 76G08xnUbCdXsdp1VrvPFoaT/R/1SZ/8oIz8uE+TTibMg2ANx228hchm4I/nFAXjdcqIenNyAsMb nwpB4FE6hoe1QquP1MbPYzwrg9EIA8+Ta8MCtK6pqJfLcuPsNd3QUGmlMN/t4sEvUtz/cAKJUC1n MN0YkwurqK39RyT3bsBuzcB55TehXHsTa79ka4gR4MHHEHsqhj0d5cVvAnEErVyDeflVxKYC04xQ mkuRxiqWfl5H0Nfh1CLYVdL/5C9ol2N57LXKVIDW5ZH8nVmOYbkxGms2Vj6tQL9v4613p1CZbEgN RDEy2JYKXH4V0eayOCxz9hpsu4orM68j7FjikFkrs90MzaqOueuvY2NtGrfvfYXbH6zh3o116NX7 0OwYppXCcTS02zVcuTyL+VkqH5ljavCxoMK+u4udzt/9vd/A3bsPhILn3XffwB//uz8XUQ5nb9o5 TrmKk7nfSexStuR8jfm/nbTDy8i48Oh9zaPc8UvirJpmD+WNT5F6XdiLizDquYL1WTd9v3LwSRi7 EKSJYc2K9SpCF06dhpkOpNGEXq7C+/IL2FdfgWYfPwd4FseI+z1koxHS7S2E29vwHtxHUCsJDbRK 1P0zisOsD/zNJ5+gPwrw3qvfxGani8/v3sB33ngdb1658tjzyV5BtavmQoit2wH663yPDHYtQbM1 gP93P0W0vYZoex2VmatoXnoLg3UfGnSMOgYin63p8fFzJMhkgVbF5q0M+qtXULmaQLeAmJGpzgiK UmNAfc5Hd8VH3FQx3DSx9kUZ8+/2YNgHR5S6maI6/VC3klab9uF1dcSBguk3BhKN8cb2hxp2VlxU pl5D6Y0+FG6si9dhKF1cfj9DNGD3U4FmpDDLiThHMtBcGmq4svQOHnyuYHl5DdvLK/DSIcBjthNs 2AE+//QWDPNj1OsapqZqaLcbqNeqQoc9HI5wb+meRHmXLs3i/XffEOT/P//n/7swXFRcFx99+Dm+ /a134QcRvCCCYVUQZLnCE8+jpUXSuZXJhb1rY/w/mduTaO/0orRsrMq85ZXQNPsob38ODHuw5hfO jbOinexo9TgE5TgJ61a8gHRWL8uIdneuXRNclvf5ZxIG67Xas/+QhXNyza+uCOc8HY5WLkOvN0TF WhRngkDSzaTXHd/1OiWS5fdJECLp9xFubUGxHejcnSmSGpE2mS08FQpZNYnGz4ChN8L22hBRfwZJ axbMeTKUsNPPSQeZXon0xZ4NlC9jVzKpK+UfNoOiA0a5hGzuqqRViqrBqDelo6aSoLAWQjVTdO47 u3eTbmVoXRnl7K0DDZmSwLo6Iw4LCKHzxlfysaQMESaud+Q4tu866K2XEPp833i3I8XPx/NTpFDS gBh3NuXfVEhqWJkMoVv5DKXfM7D6uYutJQfuhA2r8g+hcpxpm9HkAFOvcMMbicNiRCdR3R7oT7kd otQoofHVHAYbVxEFxAkBiRLDi3vY6T9Ab7CBtXsjbHzuQTF3kKnLUMwEpgtUGwYMI8PS336Kv/hP f492u4luz8dIncLca9/Dv/zDP8ff/vQrIclmtPX9H/4Opq9clwgmzlT57KUgEH0BPnROou9StuQz qbsoc+H52ouNyuvHZPtQxpqh+YxpDvd4LHp74pp9+C0DBRJUhpGKynAJTucrqSuZC5egkzv7HNmJ OqyHJz6DpcUSXb1s06tV2IaB6MED+LdvwZiazhkd9iyCMI7RH4zy9cSWeRzC3NmCGoUSJXHB0RH5 95boPXaHjBWqETslcWaqlVPEqNVlaK02zJkZ9O/eRfDlTWhZrjLNNWVPTcGs1caS33lhkzQfr8xd hRO+g2SjBvQ1vFaaRDnZxmDLkNpRZaonEQ4pnWUwmIVnU4VTT6Dc402hIByoGPo11L7xHYx++QHM iTmo06+idydG2Cd9TYqEnTyZGQXsaoT24ghTrw8Qkjf+8zK8LQv9Uor6rAernI8SsVieRJEgzw2X qH0F1bkAqkHREB9xQO6qHO9TOCtGgeL4s+wRSXneiJXJQArzjAoZjbPDuH6zLFHbYCOGVdXQWPAQ +sBwpYryRISJa0MYFs9hXgTey1vI9HTmjb7U1PgaW3dL6K7YiH0NetZEvVlHWgcUawitugYv7qLf C+APU+i+jWm1DbeSoqev4NbtD3H/05u4PDkHvxuiXWngyvQsokGAyakmPvjkEyzXbcy7gURMpHvU SnX4cRmDXoJ+rYyWG8I1w3wYniYcaIXIQ+6kY+TydKQfJjmkH+syzsUPRIdVtQI4CMc1uMOs9Nzx kRGXgFC9vw6ncx9m5kF1LJgTs7LhnjfTTxQQSgBZpsA1ojPBYFqYTvmwy5cRra1huLIpUZNz6bII WvCGGvkxBiMbg94Qmq7CNTRhPJ24fAlapYosScRhpcMh0iBXQFZ1PUfTuxy0zk+rUfEk7VRMkvPF GHQH2O4M0ZydQrXdFKdGemeJuHZrIBno4vX7G/CM+7DsgSzQ/o4HJ57Fl3dK6K3aqE5zjGkbrUtM oXKHxcL7xNURNr9yEQx0+F0d9284CBdfhfNmBb5ZRfdeFetfaIgDDVBD1BYCtK54wopqV2KU2wHs SoK4Fku61d+0sHMvx11NXB1KFCSCuHTOWq4VyMK04USoL6SiMKRqdKJ5JFGQ7vH46OAK/cVcbzBH WfM1davgLcvg0HFeHeawCEZGnomon6JUj+CPNGzcytPYykSA0Y4hzq55yZOUU0yBRJq16QCVdoja TIDhtoFwpEnaWmr4sMoRQk9HddqGUyOBIv8dCIYJkkhHEDgom3WUZjPEzib8VMPoy79HvWLj2wuu YJHm5ypY/UxDuHwTKz8PpYMmmP9Mh2aV4YUKBtOXMZiahK2NhCuq1m7AIm114ZwiDrObCFIjPz/e APpgBWbYFdyc6riAXUI3rqCjVsYRVyYddn7lXCnZQR7JLhmlJ7aIEcc72zA2bqPsprDrDhSnDq1W y1WnzqE90WHZpEuOdREvfZF6E707d4mz5qwK4wXjbFRkuOiubCH95BeSkmWaBk914OnzWLqzjrn5 OUy124isGFo576LweWSA4EOKm09Qas67TDFWbi3B2VhD0B9AqTdQWlxEeWpCnNxB9SzGHnOTIT69 u4T7/S9gmDoWXpvCbKmMu3/vyM062HSweqOG2PfhtnxxKL21EoheKhgf0lBFZ8mC323CrjRF8MLv qggHmnTyCHVoXR/BLUcwzbxgXnwMw0nQuOShPBFi9bOyQCZYJOfPhCowMmPdKHcSobCTkC+MkVRx LuicdjF+4+9F/SbNsWkHtXqkBlSJMf92D41Z1rcM3Puwiu0lB8NtU9KoKNAw3DLleOiYS41IjoMR VRF9iC8kpEPP4LZClJqhOECnFouzYkMi8nToVgLd5vOjfCQoTOBFKqLAhxZlmLhUh5b8QPBEXpTC sU0ohKvkmCBMLc6j5tpY/ObbeayXJBj2h0jCENvr20gIog3XsbS2hlgzUFu4gnKzDcOtQau0ZQoh HXSgdDehex0YWoxSSYPpGpDxeG8LyvYdhKMYPhxE1F40bKTMXclLZJeEXddxKNKbx5q8bwf9AMbq J3DjDqrTNei1qmy2JyVw+tIdFmtNvdAE9/4XKQ0ytOfjtGALL2KKpsJoUfW4htDfgav7yJIUJEPQ NQXT09OYmpqCbqlQtTGD3mMvshcQ8qgRfD3c3EZ3Zwftt17F/BuvojI5AadagSZKP08+sxP1Ot5S VXQHIxi6hol6DZYRIBz20bjUgWZkWP+8idurrtx8TOuCvgndzBAHqhTO6ViyWIW3ZcLb2kXPyP/p nMxSCstNoFkcn3h8U+HhsQjevjrCg4+ruPuTuvwd+efpDBbe6+aRjSA9c96qR//+Ye2qMDo1Oqyn LSpxWuUEZsnfrdlFniaAWInqEhWRx2hIQxopgjlLkzpKjXB33fE13EaI1qInvxdWDCNDY541SNaD ANMpONfyg0kUHb5iI4j7uHXrS3ijPgLPRxCE40cgIFJyonE6hMwGvU4f/+Sf/Bbm37guryHlAjZe ohizw5HMR1LWpDbhYGVpBTuf/wI7qQq3UsHC7KSMtJi2DsO1YLRsibY1h1G5JVHUcJhBDwfQ7n4B ZbiJODGgm3Vhus2iDqJhKin4ULORWLmCkzrswM5CVCoqnIUpoYM5747q2SnhGDx6lNjoZXQCaRw3 4m5OQOwz8TJUDK450Oo2/DSDrYYox3QMCRynBdVI4Ac7qJefr5saBwGWP7+FB7fu4urVeVx+7xto LcxBJ0v/IYzH3a7V0KpS7ScnsONNQCqYKog61jHarGL5ly6G25aca7lRObM1/sqf8xcbc43t0QZg ZMFaj2o8m9aGRXG3GWLjS1ciHgZNTONY70opAmIffiRGnNh+4cYnPjkTqASdIqMhdhIZdeSccUzj 2DxIoWp5ujnqaDAdSL2LEaQ/0KUDae1GghxPOvizsnwhbBp6gk+/+Bx/8+MP8Morl2FaJhKkqNRd 1PS8wcKomOmf1OIUDVPTTSTEwtELsiFjWfKwyu5udOlOttG8PI/hdkcexAVOTbdl41JtWx4sHex1 LKLqrZrQlBLSnTXohoXS1BSMalUcP6M5dqXpIMNhgHDUlU3DqrnQSw0pUWiueyryW2eihnXUj8lk qdDgO02gnXTtMk78RyIX/7T3LuYXyVhKUGuYWFI8b1Z9hHEAVfFh6iqMAwRbn2TRyMPOV7eRbm+j 2qhh9rVX0L68AM14/pLhw/nOXIQ1L2wzdYvRWswlx5ge9dZy9Hox45dJJ3H8GVViskK47fzG762U c13F8XOelbLT+TUve1CNDNt3S5KS0nbuO1IwZ43oJMj98kZAjEvf6gocYuOWK6khnRU7nIRPsEBP cCpvVLcR5ylgMxLMF4vsPC46r6c3hgi+VaQWZKmpCC2kWYTX3ljExuY6ylUDSRLDLVN5qQADR5if n0fgBTLWdPPmTVi2hempaRFH2f9BNNNEud2C22wgCSO5N3Q6qKd0/YrJmnTYh2pZKLXbAs05SDzY aMRwwjDvvBrGhYmo9tsT76CjCPXkBfcM3ZGPKPThGkDJPj0ZKYItc5bKx+mfH3tuEZmM02A6MMIw wsyFl2momz4yhfJfmhDvPSsaYe1i7cvbWP7iFqozU2hfnoNdKb+Qs9pvor1oGojDSMZO6vM+qlOp FJRv/21DOmEHXTzWSeKARXhzNwqjY4uTvN1/mKFzRiksutdnfEnRCE6l82DqeZIm82u1SCSl+J5e x5Cbff7dDmrTIcKRiiTUpOZGx8SOIJ0YHRyPea8l47oq8VK7tS46DjLCjmmNZB1YJnTdkIHrqYk2 bMcWfBZhIvzK1LBUKkm9jl8Z3aklUjKNx9yeYnQo+iFZJ3LixwzZaCh1Kp3d5CdsnPw9px4uup1M hCWzgiZ2/DJ8fQBL3cBp20H1k4OMC4IMqxTeqJqhQC8yJNgKStgYlbHjV+Te5+9nyj0BBD7NRtsd 9FfXYIx3VGNpVQrN3JVz5syjfSa+roxSCUxAwcZ9E/c/qsHr7en6ZI8vfHYF08SWFMpwYjjNELqZ UzIf7r3zGpBm5E5AIpJxqnXi1MkE5aeKIOrpmGbe7Es6KoPXgg7Ia1ZxqKDzIJNal0Sae+pyEklF OZTDMKLdtc2v+6nATdNEpVxBu9WCbVly3YIwxPrWGkpu7qB0g+wRJmpujuMT2MZ4szwuE2dFp+Uw JVxBwhplXc/5139F7URcMi++qWWyS1mGCds6fkT5cRojK+6+rGEwNcx7QHS6BvzxwqFe4TOHtEnY PxwK2VxzYU7gC+pHnyFOyEd+dIdFEzjAOFpjdMTiNNOgNM6gVwcS/aS+BYyVqQvjc5oLPqbf6CJD DLMcQikxvtBe/BoTlX4aluUFdqLyGTkx0hOA7Jgrrqi00ldwXIfNBnYENeNR8GS+Lh+OhAn2reCH 2jMyQ8pn3w9haQZs3ZDnbPd7WFlZkYiKs4Ucu2IE/9r1V/MRLFKqmNaxlz645qJSVei0k+4m4q0t qZORqlh7SsR1kYybzU5gCx7t2Z9WirXPv4NqaiLCCnU7ryOdZaNDInxjFJoyyV7sbPl0OhV8QjTs 0aFYJQI/EF531hyol5gPlj9O4XMcxnuDNaRrv76J7mYF1ZYrYx87GyHu/TyEv5GnbIyo0kiXuk77 qpdDHhQgEGbZswc5ecwEVxWh1BrAMPNxnIPCfzplRl0Ei/qDPE0sLEmpxpRAS5OHc33sagrYMx+X yQnugIXpCayurGNnpwOblDKqAtu2cWV2AcPQy53VGFs29IfQ4rz4XoBhH9Ycj75B5bRLGsJSQzim jCxCFoVIej1EG2tycoz2BLRG48LWrbZ9GxUzx+k91WGxY8LuCccinnff4I1etnxxWk9u/J8d4/Ga YxFZYsfqtieYGMrXcxVzxGIXqfwU4/hLuVKC6zCVILFeLr56UpxYUo8yYkzYy+j84b9A3N2E+9Zv 4Oo3fx9f/I0m9CvRKJ+7661Y8HZMcVwp594EdnI+lGgYSc682c1R/QTqwjjQgbPGJs4n4oOMBVR+ 0aCkCXQ9n+0raIF3R2Xkf3uura6i1x8g3pVsV1Cp1lAuV+B7Q/S9IeKxvBWL/by2rKv1hr28FAEF JBU4jrqtMnZaaaZjhLJEh44VwiiVyL6ZO6/OjjyM+QXpNl4kG7JzO54/Fuzb055MDnJGHbn81PPt xDIHpbwc9egXsXwWNZPUkJ/VMXJ1GkZadNrsIB6GZJAsECFreGEkC5oUMzLOckKKL/SDuloCNr/E 8KMfw5q7huCTv0Lt/X+MUltH744l0QWNNC6bdxwBUhJwuX3fQbkW5tikM76nkJK3VFNz5zAGnh6U YrOryFSVjjxViCQnTS+ZH7gWx7N4B9me3zMdJOSgUqnspnjyXqqKkluBaVgIAg8h4TMa14u6C6fh I9dIUKEUtELF+77gsLMyBnIn48mRfmTD1nXYdpJDIpySOKzo/hLMy4snTgN+WsbPO4p1tGx/9zw8 u+j+gg7npBlLT8KkY8jCeawLv7ysVRmD4HxhLj3/VCCsQlFUWxb8vc9uyfgNTfQLT4p1lEfM7lSt hfI7P0D53e/Du/kxdJddrIdXQNUplhmhs2zJOAqL8MMVF7UmYR+iQJfPQ7IVNr528n1GTBvPBdMN /ht/fjlRWdFIoXBFxjm7AxyWwBjM/HNzo4GmQmP39zmyM6Z8hLFoB+DF2OUzLEsgCSVeUxlkzs+X F4yQIIFtmLAU/WEkN5aBR1LMEo451Z9jl/DHVOKOTpWrVAKJdPwzpzb0VgvR5gayOJJB+hdpmRHm 0u9z1hO7lMZZRhgHJxhSDIchRqMAjXoJuU989A7Px7COftdTPYuRFZdl3SK06OFrPtVhsQXMcOx5 oythaIh16b6dJxMOePJSxzp6gSUDpzQ6KQ5v83ywKP+0qNGtVTA1UUfANvi448QO0klJ6mlMSRDA mL4E1TCx82f/Bo1/9D9h6GsIejFMJyfP4/u77VAAoPd+VpdO6Pr2OrbUDUwOHZgGo4cSOp2etO1p RGnblgnLNqXQTDrc2ZkSXmrWMaac3o+qP/Cp42LE8966pPgVNoonXbRiqFuGmPMb1feHCJIIiaSr LC8wsh6/szZuC+wZU6LaMuEydKjPMjaD6ApcI5K1yFctj9dpN7SEtdfWFRitNvxbX0IlJOPyFajP xazLrCDFl7c2JWKkspHvj7C1tYNSycX8/CQ2Nrbw6adfYWKiJX/RajWlAz4aefC9ERavTuLKZW7S R9vQZNhbSkmPQ26e6rC4Q9lm+NwXnGErvSQn1M+bMcoieHDI3Xls4njGkVU3sPITKYhy7EIeWJDn 33L3LbVawqLADTqlyEeS17FOwoRWxgqwM8pQ/u//N1RY07AtmOoqvvXf5Ec/3DFx7+c1YXOY/YaH 7nKGuz+tIotNgQuMRiF6cYzh0prcZBFZKXRDOmIrq9uo1apCoyIpVXZ6eLqjQlbEP4xpfJ/H2CUM o0hGb559MPn/OHkQjwe9nxg5Fb8vUkRGXqxD0UGmJpI0h1CQwodzn1KflMWmwVFJ4shoLm84MN41 EiLzYynXcV2iMo9SrQ111ENw6wtYV65BLR9erYnnlNedGwI3qOEwgK5bqFbrMqw6HGeyAAAgAElE QVQ9NzcPXS9jfX1TnlOpNLG0tCTd04mJNiySsgk+/6gO68nn/akO60V43enkOoGNhu2fg1L7E+yA RV60xOmc5LzkFJN5jSvRBOMjlymzUF+4ggc//QAf/dlfotP3UZmZRio0NCdjDM+rlRBhyGJ6Bsuk EMDD+4OdwolrughFkInBfnUos3Rrt+qYvGRj+jqv1cOIgmmmsjsxMDN2VPn8naowan5586EyFnNI rna5TuOa5POYzEbKHDPVpA6RuY15v+Srogg+6zAjYfmOliKKFDxYH+Dm5zeko14ul4XEcUQBYFWF bTviIBzHlmhuOBxK1MOv733zEmoVDY4WS8oYxA5CFvtnq0hu/RLZ9BQCk0BVrgsTZRJIHnhsGRxb wdtvteQ98udwIiIbCwdTdi1Bpezg6uL8biQ6NbWIJLkC0+A8KtdFMZ95MqYz9cn2XGA5TCuUzorD 3P95aH1DU3JtOitduHzOpzEM5SKn893L4ZXfxNmjYaqSI6ULY51r5NahNefg311Gf2sHTrsljuRE j5mRlv1w8HevcSCa83XlVihocO7cBF4Gvo7OqoHKRIpyNf83jrlIWczImRvy6392qpF5FPBsNA7X MvmleG32Xi86oTCMZZiZ4zZBECEMI0mDKfTqe75Ij21s7CBi4+RRtq2Dj2nP6BkbAn7oi4OxTUpd Pf1vizpXtezgrbdeQ5pk6PX6cF0bk5Mt+awEqno+h8wpGRcjjkOhd7YofaYXbLEZDK5FMwTjnNg0 cGd0BVZSQjLU4A09OGUba9ureGVh5klHI/W+4vuH9nCzHY9LFmcZOWj/KHMxz2c660zFTSjBHLsQ AWXdM0F+H2Z3Yi7dD015PnPrcxtZ7UW/a4nwFBHO8Czb+3np4Cp2BuWVBWzcu4v1X3wJbWIGfsxo JR+1OEk7kFBCzcdbwMf43zm8bJdiPPiwivVfuGPWz0AcFmla5t7qQy/YS0/Z6FTIisC0hMrZrJEM BiP0+wP5nuSKed2EaYsP3/cx8nxxPOTmIod+GGWIIna3WcPj1xx+YBgcn9GktsjZP9PQpUZHrnyn ZEuEw0jmD/7gd9Fs1g8NBC2gO5xh9QJP2BwESHqIu4EMsKREq7ipSJzNzuxP4yQBRG6M6jkQn6e8 ufN4uKaKdzO0FGUnRquxgH/1f/2hMI9873vfRWe4jeO309vQ9P2tel3JJEI6rKXjlGiyNDr03/Bi ymCyZjwCtjsrVkRSec/wBYv3dQdvfOtN3L59G0nkw/MzdHxbCqccsj1123ffsINIArzWwkgohJ3J CN01G+VyiMlXRjlR3z4r9OhYj6NzEFl5/i6IxpELdehicTR8DIYjYZigXBYdjPxuMMJw5MlzCbAl VQsjGdaMZLwm5k2rwbYtlEoOSo6FkuvAdUtwSyVRja7XK5ifm4TjOPI8OhiK1ubMCgaC1IJtMFPg axEc+5Cj6zAn6WGp6Tm2XqkSPOQBy4vxT6fRKYywC/Kw9QMVqp9jxSw9hWmSiUJ5WinsqVaxLfQG XVy/fh2zs7MweU6Tk9dwOEk7Mq4/H1t5+nzdfiP7Jnch1SHd3NlzWIUdBacstVIS9Fk2guEARtRB 1WyiH5nw4rwhwc3hOHYnRg4sitNZ8GvuOCKBV9DB0EnQWRQpTxG12FYZZSzi9pcbuLvzUww7TGkS 2HUPaZZzOuUA8Fydhu1+djzpJIqZOZvq1qwrkdbEMmGaeYRiWoY4GDIc0PEwvaHjsUwDlYorzyF6 nHUQFrmZ+vDB13keY7WNzJ2EojAdt9UUTSM6dTruo4KjS0Ysnb68cpAPaY886nbGcIghe4HbpOy6 2F5bxrvvvw3LsPHVlx/g6rVzJga7z059EEnAdWkM13ZxGoo9L2pHzsoVBc25abz1g2/jT/6fH+Ff /qt/h+bUhNzs1I0n32bV5UByJBHKyPMkcqEjKaISRh10NJIGpEAYsePIuUSqPWtjVd0cnEpn4tjW bnSij3+mU6DzKJVslBxGUK6IKnB3vvXVfdx88FNUWy387q/9A3zzjaswYh8VMlSSUVXLOZ+OYwby qJbt7UAnWi7Ey/EpkgyqqUSuL1szYK/TyuPz51tBUpYZ16PKZorMUDAMdIQxpHOtvIBPvDRVx8bO l1jqplgINqGr0zjPdqoOixeQzopOiw7rrJrMiWV5zemo9sYrl1D6zW9hJ8qQVqvicHajoVhFpjmY bGhwLF1qKKypmJYl+CdGJnn0kTsNoSAeE8fxd0cxcXaKgp/97EcYuEN883tvoDFZhzbYgqUr0OyX v5kITVGiiUKxOCeKEamp1BcZ1UtzBGfDcl6rhz8XaeHRXpNjODGGngYlymCOGyHPaxONmoBVteGD c0/mp5/2DsSoylAPHh3IClCggPLymazTtJwwLd/BmWI8b6p7kBmaivmJOhYnJmDOzD36fmxwhKaM AR0UHeRgw+dvyx/quAwDv/WbvyYPHgcbJ8LrNNxCMhhAdcsvdZiWn5jXgcdVNsIzTbVdGIedi4Fn fj2O9UtMUslO4Qccok/EaT3vyzIqZa7JhsBhup5n2U49JZQL+oT7QDosoScFeXZYbCNvC58GWylv 2mC8m1NeqWYFxyKeQQpbDkQre7lOCtvHw7TXGFEMI8o9GcIUcVI3LN9dSO045mFmUOtVxNvbSHs9 YQB4WcbrwXPAptC5cFaqilq5tgtxOM51K5MWZAyK8kmg3XrWIX2P8H2RLlzYKA4DLDu7dqbIdFjI LTtlcVgsyveiHiyDdRldFkLBICqULcd40guFH960OeD1+CKa1PdyoVTzAHaB8WLK051HI6ltr4T7 /br82yC0MOX2JBI7yqfO9lEG5WNu+adlhCeOoeRC6fcRDwdQyKrJO+UlWDFSw2tyHmICUSR8Btvo UYzXJ1YoDUZSgQxqmkAVBWlFOozPOkGmpSFINdi+L8PS59XOlMMqjFgYOqkwCjHwBoiGD9GzBOPR qR3H4hBe81TFMKZYRY47O1bjgiLPtqYJT/xBRogDZ8XYMdwb0VWsANUwd56M+u72mrha34KpUhLh oe2dtyqcT7F2hder+JxkHRUp9Uw+s4wRkRwuGUtWFVEMN4RGA9n6GtJ+D6rZfik7sjI+viTWJfIl vchZd1onbZaRYeDriOIEDvcRvSAh5LjO0xsjxEeuVWfhbGzCvnQJ59XOpMMqdiw6Lj4Yce2OjRzT FHEhPsA6CS/mSXSYpHjPQWKmB08okgvb1gHqRBy2XqxvyU3KYxzGhrTvOfAfxvllS8d/z+MXtoDY ECoZ3ux0gAQFyyB6ouVTDOOois6KkuqjQJfnMXLbm3apBDxaFuIwQBb48rOIhJ6y4+JxMiXkdaKx 2P6rbCo3VSeSiZKIKj1kzWCtl4Pa3LSeIbZSnWoguLkMe/5gpovzYGfWYRWdLAISmQIWLeKjttgl xRgX1hlpPA9I9rmNBQfWsES+6eBTndO4HOyEi+UnM4zjG5fHXnTIaMIsEVIKKmdNNc2c6IxOijz1 og48rgM99j5PoE0i7irQLPR6FGjtwSy7cIivssmJfroLXSJBNRUYA+EL54Vf7SRN5zzruHBRqO6I 0yLzw1OcFskbVhMTZd/PRYDPoZ1ph8W00FVz+MPeYuaLUs/G40I2GQp40Y+jC/g0E0n7OBK5+icJ Bwhh4CE0HPkccnTtNzopPvY/l07qRSOSIIrRyxx0YSMbKjATE319iMkmUJZc5HSM54aOijOdBa3K 14Y8pd9zPsRRCWVN+ihR4D7nJf/UmEC0sQnt8qWL4bCYcRGJzmVPFPLzIo9pHPQtxD/zDaAYWZD/ Hzq1YGR1XCokIjIRmlILsc1TGo3heeS5oE7cvsgkGy88Rnp7F99ZMFF81i14ww7uLz1ApVrBwpX6 qUZXBacaE1VylH0dWT08L1zLLLw/ssnxfiMHF2tapDKSYvyjERfvO6ddQ7S0DPucdgv1g5zN+lp3 PIahoFKx5XcFqdleB5STXaqC0OZiJiyBQMdOZyioas8PYXLY1Mi7evz7OEpgO7nm22lZwSTBXfo0 SQXTMMxrDAewC7AAzpoT051CD/GsWO6YYlSrJbzx5htAFsExwiONKj2vFY0CXq+zdG5epmVjNlyW B55UcxUnVURcZGblRdsTMGSBJ6rU59Ueu5MYUQ0GPtptB0tLq3DLD+fGGHkRbV0Mk9IBWZYuFB0c hOXEe6tVwdLSBuq1CrrdEQyDTo98PhnCKMFw4KHRcDG/0D4yWvuwxk4YjWyhp2Uco/H8CCFMGKmO 0ItgGVSQzo9FGFm1WBbfWdvnSA9MUsBmm8j7CkY7qzDjPvSURa9T4gsfRxB0XF9bbhE7uoyuDqOx wAiLAVZR22LmlCqIegOUyqVzGV0d6LD4OUouZ9B0TEzWcW9pHTOzbWxudlCrlaV+1OuN4JQMhCHH TEK4ZQdr6x1cvjyNft+HW3LyKXktF2NomjX0ekOh+6BGn+eF8v1pOKwCECo0OjgdY9G6MwgwSivo QoXS0WCFHqaaJuqVfNEVxfazumxYq/KDAKOgB9dJoPdiIKbDfx7a3SOqGKnpbv3qokZZrKcyi+N9 lZMuFk66mGbl7Ggm1YUApB0n/xr/krTbReeWtcoDzs84LZQ0kWNxESl0DGT+EOfVDszLJiZqktpN GFU0GmUZwJ2YuJTXszJgeTnDxGRVUkHSepCT6L33ru4S9xfOqN5wpY7F583MNKQ1ToeVc52ffErI C0pCQdphFG+O0wzdRLsxiXC4IYuq7FpQtQhhwtQ5T67OqrMqjPOMfFBKKup3H5XCOmET+MXYYRVc +hfPFHR7ETY3fSmh2E4u8sHQKIozpEmIWt2G55HAT4VuxBiBgr6ZzKNmsFAuO6hWWGt+wvoe17Zo KlQEbgPK1jKsi1LDotkkExIKVF1GAlz30UHYq1enHsGpOc6jaYKWbwGoGC9PrYA1onBc1BYiwlN8 73x/TJGkIdoTbaFmibM+4jSTuhXtrNWtnmqElbD+wW3+ECDF44Y00GFdTGP5ZYS7d1fhuhUYhikM HSzBkL1jMBzizTev5SpBogvgYWNjQ6h5VldXUalUMTExgevXa7DMZ/OLWHoCzzAR8TKS1PAcqka/ 0BGf0np9YWOxloucHZWX0WFiRGVbKvxwAMupI/F9JNsr0GplKXgWuKjzYkTqc0QnDXykUSRA0tPs iDHSupiWjbMZR24qYWRmJ882pdRCGudKnWreCYLRCI5TQrMxA93QMTlJQkM3ryk/R2XF0SN0YeYz rr8qDus4o6CYmmeykz6/WOuTjDUrviY5kk6C6eAwZsvsYISht4x0NITZW4WBGhLLRWLrMv99ngJy zS0j2tqUUSOcksMqNp5c+fjk6aVP3yjwCkxPmVIqYDZAauNCnh4Z64U5hTkazFakmCJ/2W5V9qyg w5c7WNURpYZTTO/PvcPKx2IM9AJb5uh4gRq2h7J5dCBnMYpSfonOaq/TEsdVLSHSgGBtBbGxDWOi na+cc3QDclRHZiNPSK5svxU4tV0AKRsnL6BAfj4s253z5Kzo7qDWYzta9oyfn23i9FVdyhTn0U7d YRVjMUScU+ShsOMgy6NxYbPucRzUMMdmVHpptZB4I4Q7G8jKFmAeXi/uLJgMcBOflSRjjpPjrQsU I1NF+scWPgvujJJ5k3kJEe/5bOFpdO4GwxBuydyj/ixj5hLNUKNPfpOrdI0L3i++3oqOcQ6ZOmF1 JYUdoTwlPI926g6LC5MLsWIG8qDKKx3McVyoIroqFvlZu+HN6RnE/S+g9HeAss3Zo1M9hmJw/IWG mDkW5ThCl5OGLtRjkn8uWEW5JnjN+FW4sMYzc8Qc8We9kF07BdzaYBDj418s4crlOYxGvZx7Xui8 maaFUFRLlHcIX6E24OJiC6ry4kwf4kNOsU6n6jqyMb32ebNTd1hFJMXi33EbnZV+1qKrPcbCtdFo IunuCF2yVq2eWmtZ2Fw54f+iHRNGibU6wpUHUpNTTfPYoiw6opysL5XUiFePGKzdaEqod9h1zbnc +fuT3JCIL9zeHqJaDbG8vIN6vQ5NowqyieFwgFqtJk6fYh+UqF9YmIJpHI2a6NSaMArglHSk/uFV rs6KUU1efxnR1UmE9XRWXOwcBD5r0dVeM5pNxJsbCB/cg6lfgVZyT8VpydA4QaxHeC+yTrD4ToeV ktzPPh4QKTeYovHCx2PvK1TTnI/LpJyQnXA9i9Mdr775OtoNE62WIRFWHEcwDQuDoY5KpSJTH0li QlPLUNXzE60o7ELWHHj3NmGQzO+YIuWTNm5owht32g6LhdSDWAeObpw740zj2S4mcoEY09OIHtxH cO8erMtXoJH34xTsOPistGoN6WgkD4WS7MfA+y68XodgqxB6GVI6k+t9TOp3XNE0bwh2rPlqvcSB 1piAVe6i1SyY2fPOaKNZHnfYOB+b49NOWp79uE0vWcicCvyVNZQuzT+RSeQsmcxQqskpp4QFidwJ 7IwkvDsXpigwJiYFA+PfuY14cxPqzMy5wcRIlFWtIu52JcIijfJRLBVoS15cP4xxQ6KeMiPqMMlp dI5jPUWphvVhWeppvdAWIsSKmfP7c23tpmx73uqcIgPA5okzNYHRvQdQl1dgTrSOLVo+qUCHGwoB 4OfjLrlgxgVjNFtIBwMkvQ7SZhPaOXFYNLVSBbodSQ0Jd3jRKCt7ga5uXqDOW//8W0Zbx+G06Kg6 viPZedMZyXuQyZWvSywYU1JGdBfFDFuHNTsNb7ODeL0DU9uC5rpybV+mWtKzuOBO/S45T2DJ04A6 RFtbMqsHnF2dxv3GBa3Xm4g7O1ApWvECUZaMTpG6GQpKLxAdM+IpBtuH4+4hU0YZHgZ56xORjKNp Sq7reFBKTDxgN7AxDK288K8mcI0QdduTQj+N78EH7aI4LUUBbNdCZkwj7A4R+SM4gyEUqiVVq9Dr L08x6WCB2ex0HdbxiLJfLFMtFjwzpL6fz3adsZ3taaZWKlAH/XGU9WQK6P3GwW+qTeU1iQy2+uJN En1ciKfzY0on8Ac1xSiigMkISpqzElgmKZ417EKqxg6TwOUdv4R+SFBsgJqxibJNRoRHj6lwUmGi SyR4nsaqnuW0HCuD3qogjKsIPA/aYBvZTgcK2SNqNZw1Oz2HNc5Dz3IH79RNdn0VGYfIzllBRECk pikiGxrpSw7ha4NEx/qwAlsPZarhqKlcgV+iA2HBXJgwRHzVxDAkZsoUKIQW26imSU7euMsrnCFO ApgI0TQBXeExhSjb1oEsu3RadIp0dBfFYe02M2S2VUGgOYitGQSdbWB7W8SMJf3/VXNYAg4cpwAc mfnaxrZP3vxcWZoiHQ6huu6hukzsDq8Ny3LDN4zoWPnJiroWFxoZOlgkH6oO+kFNHJaFBBX0c0cz flMVKUw7BixGaYVcmvEMSvBCCuXimTpWWYpVFUG9AX8HULa2xUFoZ8hp6ScVTVHwgYu0qPAXJ+Ss ww5O04T9IAiF8/3cyS6NnW3qeTl3/TOcFmtFXANTbl9qRCdhTBG57vg+TP/IclSSetQIdds/AOPF c374857XuC7u+lXGEatqK/AaudOyNzdljEcXFXDl4jgs7pwEdhUhvnR9uHAYso9/vkih9HFYtLEh X1XHeUyk4nzAM6aQdDsIl+9DdcuChCfsYT8QNq8xKZgoDWGeIPykuOE4o8q1mLfCfRmsP461x8+h naImwMsyjcEF6ZEaDYQ9BUZ3W/QJzInJl76xHovDEjl10q/uCfOLyv5x0wBTVDVOYlF+5uO0xT2P y9gZJOJdbzTFYZ1HU0slwY8JkNQfIVxeBpJY0kR9jDUrNjKKtZ5Gh40bJMe+WI/iuixbwbFF9Rwd GtIRjpV8zuoI2HGYCLbQadWaiHQdRn8d4coyjKnpl4oZ1I9FkSYyJN076QVJoYswjuCHvgheULPw vDqscGMzx2NNtPO5vHNqAiSlwlKplKtcJ4lgyyJK3bfnEUGHRYHXU4IDcDVw45xyB7I2c8zW8VhJ j3IHHOuiwkSw60XOGjQOnxsaArcOkgcn21uIN9ZgTM++NHrlIzssDqOyZnUau6cXpeh4DpAmSJQS LFOHKfvd+TKG19HmBoxGC1q5ci65tR9jcqDjGjtezrfHGxvwIw2OnYizOlWKapG4j09GGIPjQOxK CkWSkdNvX4hIS5FS5NaWD6dkolqxkJFcMyOpoALNbrBzhqTXxWB7hFFioFK1URIe+kc/f8Z7MkvO nsMqUsG6FZz4giTbgKawiG8gSisIwjJcO4SpnUwB96SMeKvg/n2JrvRm49yM5DwvK8Uo0LAxrGBW H526AMhJmwxra4mASU9qmP/0TcHIi/HzD2/BdV3U61UEfiibEbnjA38oOgUWNJh+gM/v3EOpZKNS IeCZZR8FlmVheWUZs7NtXH9lCtoJnJcj3S3dwBKYwmmExUz9qMqTKmUMExN1gzUEH+ctsgruLQkc wJydk0L1uY+uDjBFN2R0xh9E2DRcUby5aN1hRlUsg8ho0RnUlnwRo8O5cmVRVK4i8mUpmghg2LYj AhneiJQ0AarVKi5dsjEYDOH7qbBX9Pt9rKyuSGBh2y5U0TJ9yQ4rG0dUhT6HqBYfQ9eEHzIbe+mn 1aSoB2mIdpuOijU4V2MSyWiE4O4dZGTNXLgEvVo9f53BQxoR++WpOioPbmNYeiPvrl0wh0UTVH2c NxZOk4DvZCwF2byvXXVlpClOOENJkkKgLpNXOuLIQdIZQU+3cO3qNJJkrAqva0hiF1E0KeyrjsNm 2MngLfVeaEpuzkIlQ92CW5rfkzCLHZ7ccoFHFhqZChYcRS+ysyRJgmEwRCgzdA/NsRy49pNn6nJw XwZzXMQ9L7WDqLODcGkJim3Dmp+VIdOL6qzEGA036mhvL+HBYAtxUx+Ts1wsU8b3DQvwNSs491Mc Ctl/jRy+EcBAyczrj0U3lAX4aAikIw+mkZLv5+EfywVmVKWe6CCeziiFDqgXWjmntpILncoIgpYK yC8H/+YHsPeivGgYLMOpSSIQhd3XUhT5HaOtJ0VZwqeVqWjZoxNhLD0JS/p9hHfvSqvfml+Q+s5F TAMfM01DqV2F+WALcTKNi2jFWItwaIWmFODPu9NKRCAmn6fcS13O/49CE32/gkoWwHzsPj2daWFd CoZCT5unVw9HrXLuqpO6APudEh1VlEQIogCWYR3otLIxEJDO6jy0k6lMQuxKlqUw2hPnht3xuEx1 SrCiNUTxbC60gItnBViVek/nfVY2yRQMQ1Myp/3ZUxAbWB9VMPLJCttD6SXNvupyUEwB9//LCZ74 gsNxv0VjjFUBCt1rPBpyH1l6JCnheSmyx74vCHCtQh25R00iSnAagOyVF+92Jr7M1mL0fQ2NMqP3 83szP8145fjZzv4W+mw1K9YaD5rzZDfUiwwZMn+ZuoYvp6eusP5lIDM5vpM7MP7HCCuMQwy8gYgl mIYJyyS/JOlrc1UVRlbn5dZOvRE024ZO0YI9s3YsatIxe4EnjrlcKgtn04Uz8mbpGXyPRVyOtZyf Jsnzmuw3xyRV9zIsIbdYrKP6BIgS54LJtqEjhkZK6KcOiV8wh8WIomSXwP8eSQnjCEN/KDczjc4r SlQMkia82MJEaQDjJRL+F5JUvLgstj7LyCjKlVykgvyMo2CEkT8Sgjn+TGK5i0oBkIYBfC+DPUGC vQv6IceW97nPd3RlPEGNiKkuqXW47k0GDfQa5xXp/qK2PwXizyb5lZAiHsXCbdQLJuB5bZStVEYt TmrK/7CW7zK5+MFhAKKJ5wkwVBlLuwdhIM6Ks5D7IR0Xzfj5h1/exrA8j+kaO2jnOWF6urHWK7qJ h1wbZ82STJFyS8P2D0XAmCQqvzkUB9px25mCWTP1sw0bmaNgbehikEygbCbirI5Dxv4oRpdC6hLR zDuMw4oiZEkMxbF3J9yZ3jLtpdOiRuBFps3pfnoTK9araM42UDI9XHQ7r8lgSvmsWBe4kvLUkaQc SpQoGqJMk4bSy2DIPVMOq4i0YqWKIKtC11Q0nZPjT3ouG9cnFCSS1jFaYo2tZJUOLJhTlj6OIgSh D3/QlTqVoRuSChddUBE1VbggLg4mi8rQO5/exlb9HdTaZbTLw3ODlzusscbKKJmljbJTFuwRoxSh bD6Plj2b54vOitxiPc1GGOcMHepLoFA+cw6LGBDe/nPlvmDfeZLOwoIXlAlVidMQXphHDHRAB3b3 qLI8HMkOZJQ5fvNQJp6LnI+LaslwhJE9iflZwLH75zbyeJIxfWeUbOrmbt1V13MM43mENGSFGvsz jp0RFrOcTqmOfreK2uYDGck5bQD0mXNYGLeIS+YZiKr2GNNB0u+6RoZYdcXp0GEdZAyXE6ojizJJ lZ5N8GX5POTBf3NRTK9WUF65gyRuAlkeQb5sK25F1phGMVvzqsAtyNH1vFALli0c05EouWic7IrB 4nxadoiUVu5JPae2ThUdifJy1vGZcFj7l0yBmT0Da/0RAQ1CKpim6trTAaAZSQYDHz6xOWkEVzVh KueX8+p5jGrQppFhNAplmn+vUs2JXRsm6imBzryxxrAXnnsWk2NdGiVZlkuBlTk0r6aCKSJIkrWb 551ztM38+hdYQdafc9DoSXzCk7fskPdbTj1N9DtHdvhV+dVyWLzI3nhBFYjhOFOhF4vujJg41PH8 5GHToiSOoVXLUucS+AJlky5wKri32RCGgOVwRvUE32eMvt7ySiKAyuiJ90/Z9FGxPHFCjHgIP2kQ W7QvkiKDBGcAhQP+iJuj3PCyPs5fSqjIfceN9dkD6nT4Jd1HDDp5YigvsMOSLltKTTpld7Kdjoo/ s50qwhXkFkI+FnDWjEXVw1weSQe7O8g0BUa9LqnDRU8D989OeloZEyc4Msk1M4xM7PiOpCoL1U4+ TqLm5HqHfVuuQ17XYgztRU3+ckwHft5MFZqcKCcjtJ7eiaca0UxlCG/kQx7IN/gAAAUPSURBVHlJ t+ipOSyiaDkgSpwKlXoFu7JnDCBniTx7juqhiIKK2iHqarxhg04HiluCU6k/NmJ04S1JoCNBFCbQ DE4nHPPLi7OyRPyUvOpUaD5sZCN4NwkM8oOik/MjUzpkRymY56QB589ZFcbPnh5yFpLF90wPkHgB sjDMRUcuoi4hT0RJZ6fhbBXTn2W8iMl4QT5rByVYMtzcQEjRzlbryV3EC2x6u41asIydO8tIL83B rZAb6XgR2QShzrq9x67HXhAuz7skaeOieDFcz0I5x8JyARM6MNImHeGYxoDi8873pTzHc81GIxeD 2ViHMTMDPK3UwZN7jPfAqTgs5YwW0w8rAMvU9TDRVeb7iL0RspIN3S3nYze/aqYosOZm0dJX0bm3 BPPqPEzHPLZrwc2DHb69zqqgKyI2it3YojDOuiEdFH9P7jXeZATsciMhfopOzQ9imCod2IuvSx4L FaeLssF5gzdkBcbwkMdNHU2KqyY724g73VyzcD/7ShQhTRKkcQKFw/2c9iADp/xjDqOQ2uGzgoDi PZ/osPIK8zOO+PkvLS9isejOjRjluDvI433mxUxTRDtbMv+IRvtXg/PqSUb4xtQ0yt4dBFs7MGYn Rfb8IPyPSMEd4iUZxTC60lVyBcTSmZPoNcNjM6hc3l7A7xk9PX7d+PzesJd/jwoUGEfjxGItLFWF U85UCbB8Mmr8uCwjw7rU38bHUcjqPe/rcOg50Z5bKITsI1ngiyiFYlnQSqV8zbOGG4QI1tbgdwjt 0SXz0OavQKnW5SmFg2RDpKCJ2s+sVVhBeiA8+iwj7X5i0T0dx0DyGntjoT3f8w3pKZ/zhpR6ldQM DBjnRGmkOMJn7ZgyN9jvwd/aQqxr0Mko+qvssGiKAr1SwWA7gHtAw4JdPdJt8+a2nrIhFCk5h2/J iKlkHnqjkXRcCd4Uho9x9FRYnBHIqf7/5V1db9MwFD2xnaRpA4h1y9iHVPq2//9vECDGC6TQ0mQd beI2DjpOMhUtqxZGp027Uh5dO+7N8bXv9TmQTs4a9NbfZeRFK+1C+rC4n2O371FuLEPvvimTTT0f pDDejkB4Psx+u2xPTR1EkHywq1FTkxRKejKBfDusNCq1RjZNsVKvIUfvEfYdiPgrpFhCuX0YQQCq VMNXa4U0ExBSwDCrzgvyFe3FTR8umY9rYOX7KbExdZajcrKSDdy7tzIENacw/wRanEg+RHQetj91 a84n7uKtJ1AZbgPTFPmPGOuygHdyhiCoyhlesjFbapa/4fMuZYub2IxwXQ+FrZXWtq3dsYnICW5M owdSY5VrG0m1RU6VOcjMG+TmFUI5gS8WO8fJSK0wlKXq7s+3e64KLJsIYh9W1rxw9MuBp+2l65s7 gWvXflsEz/sCpv3sH0IfRPXv+RUW339ZSXsnGMA7HqFYOZh+WyDxPfTVAXpXHKuD67ywNMy9nodi s4bOBXzfRZ5d4ziSkDsK91iGogxVHTqYBTQp4BDoOrZt6l2eC2DRCVinM2j788vSCkssP31EMZtC np7AOx3BH4S2lOGlG0VV9TxFePHulrp5A0T0AT5J/vd8bbPdclVttP8ILNvV5W1WH7nDQMHch07A 8NzLQU/5UPuucv1fGeuiAqUGrGicKya0Ftp7VI554SoE0QH8o2ElNsJtmxT48PkLLi9/Wsmw2WyG MAwRhnNMuFXMMkRRhCRJMB6PEccxzs8PcTg8g9xxoZoJuz9gV/bhxcTSGQAAAABJRU5ErkJggg==