20250123 14562200 1.0 FALSE Arterials 002 file://\\ljaeng.com\Shares\SANA-CAD\GIS\Margaret\WA#5 Pharr District\shp\Arterials_1 Local Area Network 0.000 ExportFeatures Arterials "K:\GIS\Margaret\WA#5 Pharr District\Pharr District\Default.gdb\Arterial_Project_Centerlines" # NOT_USE_ALIAS "FeatId1 "FeatId1" true true false 11 Double 0 11,First,#,Arterials,FeatId1,-1,-1;CSJ_x "CSJ_x" true true false 254 Text 0 0,First,#,Arterials,CSJ_x,0,253;ROW_MIN_l "ROW_MIN_l" true true false 11 Double 0 11,First,#,Arterials,ROW_MIN_l,-1,-1;ROW_MIN_h "ROW_MIN_h" true true false 11 Double 0 11,First,#,Arterials,ROW_MIN_h,-1,-1;ROW_M_l "ROW_M_l" true true false 254 Text 0 0,First,#,Arterials,ROW_M_l,0,253;ROW_W_lw "ROW_W_lw" true true false 11 Double 0 11,First,#,Arterials,ROW_W_lw,-1,-1;ROW_W_h "ROW_W_h" true true false 11 Double 0 11,First,#,Arterials,ROW_W_h,-1,-1;ROW_W_ls "ROW_W_ls" true true false 254 Text 0 0,First,#,Arterials,ROW_W_ls,0,253;ADT_YEA "ADT_YEA" true true false 28 Double 15 27,First,#,Arterials,ADT_YEA,-1,-1;ADT_CUR "ADT_CUR" true true false 28 Double 15 27,First,#,Arterials,ADT_CUR,-1,-1;TRK_AAD "TRK_AAD" true true false 28 Double 15 27,First,#,Arterials,TRK_AAD,-1,-1;DESGN_Y "DESGN_Y" true true false 28 Double 15 27,First,#,Arterials,DESGN_Y,-1,-1;AADT_DE "AADT_DE" true true false 28 Double 15 27,First,#,Arterials,AADT_DE,-1,-1;delay "delay" true true false 28 Double 15 27,First,#,Arterials,delay,-1,-1;trkdely "trkdely" true true false 28 Double 15 27,First,#,Arterials,trkdely,-1,-1;pti95 "pti95" true true false 28 Double 15 27,First,#,Arterials,pti95,-1,-1;trkpt95 "trkpt95" true true false 28 Double 15 27,First,#,Arterials,trkpt95,-1,-1;MPA "MPA" true true false 11 Double 0 11,First,#,Arterials,MPA,-1,-1;RU "RU" true true false 11 Double 0 11,First,#,Arterials,RU,-1,-1;SEC_NHS "SEC_NHS" true true false 11 Double 0 11,First,#,Arterials,SEC_NHS,-1,-1;SEC_EVA "SEC_EVA" true true false 11 Double 0 11,First,#,Arterials,SEC_EVA,-1,-1;SEC_TRK "SEC_TRK" true true false 11 Double 0 11,First,#,Arterials,SEC_TRK,-1,-1;SEC_TRU "SEC_TRU" true true false 11 Double 0 11,First,#,Arterials,SEC_TRU,-1,-1;SEC_THF "SEC_THF" true true false 28 Double 15 27,First,#,Arterials,SEC_THF,-1,-1;CCSJ "CCSJ" true true false 254 Text 0 0,First,#,Arterials,CCSJ,0,253;Commnts "Commnts" true true false 254 Text 0 0,First,#,Arterials,Commnts,0,253;DISTLED "DISTLED" true true false 254 Text 0 0,First,#,Arterials,DISTLED,0,253;FY "FY" true true false 28 Double 15 27,First,#,Arterials,FY,-1,-1;BegnDFO "BegnDFO" true true false 28 Double 15 27,First,#,Arterials,BegnDFO,-1,-1;End_DFO "End_DFO" true true false 28 Double 15 27,First,#,Arterials,End_DFO,-1,-1;Length "Length" true true false 28 Double 15 27,First,#,Arterials,Length,-1,-1;DLSA202 "DLSA202" true true false 254 Text 0 0,First,#,Arterials,DLSA202,0,253;Highway "Highway" true true false 254 Text 0 0,First,#,Arterials,Highway,0,253;County "County" true true false 254 Text 0 0,First,#,Arterials,County,0,253;LimtFrm "LimtFrm" true true false 254 Text 0 0,First,#,Arterials,LimtFrm,0,253;LimitTo "LimitTo" true true false 254 Text 0 0,First,#,Arterials,LimitTo,0,253;Dscrptn "Dscrptn" true true false 254 Text 0 0,First,#,Arterials,Dscrptn,0,253;PrjctMn "PrjctMn" true true false 254 Text 0 0,First,#,Arterials,PrjctMn,0,253;EstmtdC "EstmtdC" true true false 254 Text 0 0,First,#,Arterials,EstmtdC,0,253;CrrnN_L "CrrnN_L" true true false 254 Text 0 0,First,#,Arterials,CrrnN_L,0,253;PrpsN_L "PrpsN_L" true true false 28 Double 15 27,First,#,Arterials,PrpsN_L,-1,-1;GEEROW_ "GEEROW_" true true false 254 Text 0 0,First,#,Arterials,GEEROW_,0,253;REROW_F "REROW_F" true true false 254 Text 0 0,First,#,Arterials,REROW_F,0,253;ROWRqrd "ROWRqrd" true true false 254 Text 0 0,First,#,Arterials,ROWRqrd,0,253;Exst_Ty "Exst_Ty" true true false 254 Text 0 0,First,#,Arterials,Exst_Ty,0,253;E_ToA_N "E_ToA_N" true true false 254 Text 0 0,First,#,Arterials,E_ToA_N,0,253;E_ToA_S "E_ToA_S" true true false 254 Text 0 0,First,#,Arterials,E_ToA_S,0,253;E_ToA_E "E_ToA_E" true true false 254 Text 0 0,First,#,Arterials,E_ToA_E,0,253;E_ToA_W "E_ToA_W" true true false 254 Text 0 0,First,#,Arterials,E_ToA_W,0,253;AWO_Y_N "AWO_Y_N" true true false 254 Text 0 0,First,#,Arterials,AWO_Y_N,0,253;Include "Include" true true false 254 Text 0 0,First,#,Arterials,Include,0,253;UtltyCm "UtltyCm" true true false 254 Text 0 0,First,#,Arterials,UtltyCm,0,253;Section "Section" true true false 254 Text 0 0,First,#,Arterials,Section,0,253;ADMCOMM "ADMCOMM" true true false 254 Text 0 0,First,#,Arterials,ADMCOMM,0,253;Funded "Funded" true true false 254 Text 0 0,First,#,Arterials,Funded,0,253;LET "LET" true true false 11 Double 0 11,First,#,Arterials,LET,-1,-1;CONTROL "CONTROL" true true false 254 Text 0 0,First,#,Arterials,CONTROL,0,253;P_T_FT_ "P_T_FT_" true true false 254 Text 0 0,First,#,Arterials,P_T_FT_,0,253;OnThrgP "OnThrgP" true true false 28 Double 15 27,First,#,Arterials,OnThrgP,-1,-1;WORKPRO "WORKPRO" true true false 254 Text 0 0,First,#,Arterials,WORKPRO,0,253;MEDIANO "MEDIANO" true true false 254 Text 0 0,First,#,Arterials,MEDIANO,0,253;Prgrmmd "Prgrmmd" true true false 254 Text 0 0,First,#,Arterials,Prgrmmd,0,253;NwPrjct "NwPrjct" true true false 254 Text 0 0,First,#,Arterials,NwPrjct,0,253;map_lbl "map_lbl" true true false 254 Text 0 0,First,#,Arterials,map_lbl,0,253;crshs_K "crshs_K" true true false 11 Double 0 11,First,#,Arterials,crshs_K,-1,-1;crshs_A "crshs_A" true true false 11 Double 0 11,First,#,Arterials,crshs_A,-1,-1;crshs_B "crshs_B" true true false 11 Double 0 11,First,#,Arterials,crshs_B,-1,-1;crshs_C "crshs_C" true true false 11 Double 0 11,First,#,Arterials,crshs_C,-1,-1;crshs_O "crshs_O" true true false 11 Double 0 11,First,#,Arterials,crshs_O,-1,-1;crshs_U "crshs_U" true true false 11 Double 0 11,First,#,Arterials,crshs_U,-1,-1;crsh_rt "crsh_rt" true true false 28 Double 15 27,First,#,Arterials,crsh_rt,-1,-1;CSJ_x_1 "CSJ_x_1" true true false 254 Text 0 0,First,#,Arterials,CSJ_x_1,0,253;SafetySCR "SafetySCR" true true false 28 Double 15 27,First,#,Arterials,SafetySCR,-1,-1;CongestSCR "CongestSCR" true true false 28 Double 15 27,First,#,Arterials,CongestSCR,-1,-1;ConnectSCR "ConnectSCR" true true false 28 Double 15 27,First,#,Arterials,ConnectSCR,-1,-1;EconomicSC "EconomicSC" true true false 28 Double 15 27,First,#,Arterials,EconomicSC,-1,-1;ROWSCR "ROWSCR" true true false 28 Double 15 27,First,#,Arterials,ROWSCR,-1,-1;TotalSCR "TotalSCR" true true false 28 Double 15 27,First,#,Arterials,TotalSCR,-1,-1" # ExportFeatures Arterial_Project_Centerlines "K:\GIS\Margaret\WA#5 Pharr District\shp\Arterials.shp" # NOT_USE_ALIAS "FeatId1 "FeatId1" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,FeatId1,-1,-1;CSJ_x "CSJ_x" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,CSJ_x,0,253;ROW_MIN_l "ROW_MIN_l" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,ROW_MIN_l,-1,-1;ROW_MIN_h "ROW_MIN_h" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,ROW_MIN_h,-1,-1;ROW_M_l "ROW_M_l" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,ROW_M_l,0,253;ROW_W_lw "ROW_W_lw" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,ROW_W_lw,-1,-1;ROW_W_h "ROW_W_h" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,ROW_W_h,-1,-1;ROW_W_ls "ROW_W_ls" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,ROW_W_ls,0,253;ADT_YEA "ADT_YEA" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,ADT_YEA,-1,-1;ADT_CUR "ADT_CUR" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,ADT_CUR,-1,-1;TRK_AAD "TRK_AAD" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,TRK_AAD,-1,-1;DESGN_Y "DESGN_Y" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,DESGN_Y,-1,-1;AADT_DE "AADT_DE" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,AADT_DE,-1,-1;delay "delay" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,delay,-1,-1;trkdely "trkdely" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,trkdely,-1,-1;pti95 "pti95" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,pti95,-1,-1;trkpt95 "trkpt95" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,trkpt95,-1,-1;MPA "MPA" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,MPA,-1,-1;RU "RU" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,RU,-1,-1;SEC_NHS "SEC_NHS" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,SEC_NHS,-1,-1;SEC_EVA "SEC_EVA" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,SEC_EVA,-1,-1;SEC_TRK "SEC_TRK" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,SEC_TRK,-1,-1;SEC_TRU "SEC_TRU" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,SEC_TRU,-1,-1;SEC_THF "SEC_THF" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,SEC_THF,-1,-1;CCSJ "CCSJ" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,CCSJ,0,253;Commnts "Commnts" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,Commnts,0,253;DISTLED "DISTLED" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,DISTLED,0,253;FY "FY" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,FY,-1,-1;BegnDFO "BegnDFO" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,BegnDFO,-1,-1;End_DFO "End_DFO" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,End_DFO,-1,-1;Length "Length" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,Length,-1,-1;DLSA202 "DLSA202" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,DLSA202,0,253;Highway "Highway" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,Highway,0,253;County "County" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,County,0,253;LimtFrm "LimtFrm" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,LimtFrm,0,253;LimitTo "LimitTo" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,LimitTo,0,253;Dscrptn "Dscrptn" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,Dscrptn,0,253;PrjctMn "PrjctMn" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,PrjctMn,0,253;EstmtdC "EstmtdC" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,EstmtdC,0,253;CrrnN_L "CrrnN_L" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,CrrnN_L,0,253;PrpsN_L "PrpsN_L" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,PrpsN_L,-1,-1;GEEROW_ "GEEROW_" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,GEEROW_,0,253;REROW_F "REROW_F" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,REROW_F,0,253;ROWRqrd "ROWRqrd" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,ROWRqrd,0,253;Exst_Ty "Exst_Ty" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,Exst_Ty,0,253;E_ToA_N "E_ToA_N" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,E_ToA_N,0,253;E_ToA_S "E_ToA_S" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,E_ToA_S,0,253;E_ToA_E "E_ToA_E" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,E_ToA_E,0,253;E_ToA_W "E_ToA_W" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,E_ToA_W,0,253;AWO_Y_N "AWO_Y_N" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,AWO_Y_N,0,253;Include "Include" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,Include,0,253;UtltyCm "UtltyCm" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,UtltyCm,0,253;Section "Section" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,Section,0,253;ADMCOMM "ADMCOMM" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,ADMCOMM,0,253;Funded "Funded" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,Funded,0,253;LET "LET" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,LET,-1,-1;CONTROL "CONTROL" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,CONTROL,0,253;P_T_FT_ "P_T_FT_" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,P_T_FT_,0,253;OnThrgP "OnThrgP" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,OnThrgP,-1,-1;WORKPRO "WORKPRO" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,WORKPRO,0,253;MEDIANO "MEDIANO" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,MEDIANO,0,253;Prgrmmd "Prgrmmd" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,Prgrmmd,0,253;NwPrjct "NwPrjct" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,NwPrjct,0,253;map_lbl "map_lbl" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,map_lbl,0,253;crshs_K "crshs_K" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,crshs_K,-1,-1;crshs_A "crshs_A" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,crshs_A,-1,-1;crshs_B "crshs_B" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,crshs_B,-1,-1;crshs_C "crshs_C" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,crshs_C,-1,-1;crshs_O "crshs_O" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,crshs_O,-1,-1;crshs_U "crshs_U" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,crshs_U,-1,-1;crsh_rt "crsh_rt" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,crsh_rt,-1,-1;CSJ_x_1 "CSJ_x_1" true true false 254 Text 0 0,First,#,Arterial_Project_Centerlines,CSJ_x_1,0,253;SafetySCR "SafetySCR" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,SafetySCR,-1,-1;CongestSCR "CongestSCR" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,CongestSCR,-1,-1;ConnectSCR "ConnectSCR" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,ConnectSCR,-1,-1;EconomicSC "EconomicSC" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,EconomicSC,-1,-1;ROWSCR "ROWSCR" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,ROWSCR,-1,-1;TotalSCR "TotalSCR" true true false 8 Double 0 0,First,#,Arterial_Project_Centerlines,TotalSCR,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Arterial_Project_Centerlines,Shape_Length,-1,-1" # DeleteField Arterials FeatId1 "Delete Fields" Copy "K:\GIS\Margaret\WA#5 Pharr District\shp\Arterials.shp" "K:\GIS\Margaret\WA#5 Pharr District\shp\Arterials_1.shp" Shapefile # Rename "K:\GIS\Margaret\WA#5 Pharr District\shp\Arterials_1.shp" "K:\GIS\Margaret\WA#5 Pharr District\shp\Arterials_Cost.shp" ShapeFile UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'><WorkspaceConnectionString>DATABASE=K:\GIS\Margaret\WA#5 Pharr District\shp</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>Arterials_Cost.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Est_Cost</field_name><field_type>DOUBLE</field_type><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField "Arterial Visualizations\Arterials_Cost" Est_Cost float(!EstmtdC!.replace('$', "").replace(",", "")) PYTHON3 "def EstmtdC(value): try: return float(value.replace("$", "").replace(",", "")) except: return None" TEXT NO_ENFORCE_DOMAINS UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'><WorkspaceConnectionString>DATABASE=K:\GIS\Margaret\WA#5 Pharr District\shp</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>Arterials_Cost.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>CostLength</field_name><field_type>DOUBLE</field_type><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField "Arterial Visualizations\Arterials_Cost" CostLength !Est_Cost!/!Length! PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField "Arterial Visualizations\Arterials_Cost" CostLength !Est_Cost!/!Length! PYTHON3 # TEXT NO_ENFORCE_DOMAINS Geographic GCS_WGS_1984 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>GEOGCS[&quot;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],AUTHORITY[&quot;EPSG&quot;,4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>11258999068426.238</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem> 20241217 14233200 20241217 14233200 Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.3.0.52636 Arterials_Cost TxDOT South Texas A 'Dollar Per Mile' Visualization of On-System Pharr District Roads Shapefile 0.000 dataset 0 Simple FALSE 0 FALSE TRUE Arterials Feature Class 0 FID FID 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. FeatId1 FeatId1 Double 19 0 0 CSJ_x CSJ_x String 254 0 0 ROW_MIN_l ROW_MIN_l Double 19 0 0 ROW_MIN_h ROW_MIN_h Double 19 0 0 ROW_M_l ROW_M_l String 254 0 0 ROW_W_lw ROW_W_lw Double 19 0 0 ROW_W_h ROW_W_h Double 19 0 0 ROW_W_ls ROW_W_ls String 254 0 0 ADT_YEA ADT_YEA Double 19 0 0 ADT_CUR ADT_CUR Double 19 0 0 TRK_AAD TRK_AAD Double 19 0 0 DESGN_Y DESGN_Y Double 19 0 0 AADT_DE AADT_DE Double 19 0 0 delay delay Double 19 0 0 trkdely trkdely Double 19 0 0 pti95 pti95 Double 19 0 0 trkpt95 trkpt95 Double 19 0 0 MPA MPA Double 19 0 0 RU RU Double 19 0 0 SEC_NHS SEC_NHS Double 19 0 0 SEC_EVA SEC_EVA Double 19 0 0 SEC_TRK SEC_TRK Double 19 0 0 SEC_TRU SEC_TRU Double 19 0 0 SEC_THF SEC_THF Double 19 0 0 CCSJ CCSJ String 254 0 0 Commnts Commnts String 254 0 0 DISTLED DISTLED String 254 0 0 FY FY Double 19 0 0 BegnDFO BegnDFO Double 19 0 0 End_DFO End_DFO Double 19 0 0 Length Length Double 19 0 0 DLSA202 DLSA202 String 254 0 0 Highway Highway String 254 0 0 County County String 254 0 0 LimtFrm LimtFrm String 254 0 0 LimitTo LimitTo String 254 0 0 Dscrptn Dscrptn String 254 0 0 PrjctMn PrjctMn String 254 0 0 EstmtdC EstmtdC String 254 0 0 CrrnN_L CrrnN_L String 254 0 0 PrpsN_L PrpsN_L Double 19 0 0 GEEROW_ GEEROW_ String 254 0 0 REROW_F REROW_F String 254 0 0 ROWRqrd ROWRqrd String 254 0 0 Exst_Ty Exst_Ty String 254 0 0 E_ToA_N E_ToA_N String 254 0 0 E_ToA_S E_ToA_S String 254 0 0 E_ToA_E E_ToA_E String 254 0 0 E_ToA_W E_ToA_W String 254 0 0 AWO_Y_N AWO_Y_N String 254 0 0 Include Include String 254 0 0 UtltyCm UtltyCm String 254 0 0 Section Section String 254 0 0 ADMCOMM ADMCOMM String 254 0 0 Funded Funded String 254 0 0 LET LET Double 19 0 0 CONTROL CONTROL String 254 0 0 P_T_FT_ P_T_FT_ String 254 0 0 OnThrgP OnThrgP Double 19 0 0 WORKPRO WORKPRO String 254 0 0 MEDIANO MEDIANO String 254 0 0 Prgrmmd Prgrmmd String 254 0 0 NwPrjct NwPrjct String 254 0 0 map_lbl map_lbl String 254 0 0 crshs_K crshs_K Double 19 0 0 crshs_A crshs_A Double 19 0 0 crshs_B crshs_B Double 19 0 0 crshs_C crshs_C Double 19 0 0 crshs_O crshs_O Double 19 0 0 crshs_U crshs_U Double 19 0 0 crsh_rt crsh_rt Double 19 0 0 CSJ_x_1 CSJ_x_1 String 254 0 0 SafetySCR SafetySCR Double 19 0 0 CongestSCR CongestSCR Double 19 0 0 ConnectSCR ConnectSCR Double 19 0 0 EconomicSC EconomicSC Double 19 0 0 ROWSCR ROWSCR Double 19 0 0 TotalSCR TotalSCR Double 19 0 0 Shape_Leng Shape_Leng Double 19 0 0 20241217 EPSG 6.2(3.0.1) iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzsvWmTZOd1Jva8d819q8rat67e0egG0ABJkQSphSLHksiZ0MyE R7QUnoiJkGbCXyb8xWFH2P7sCNsx/uBf4PAHa8ahhR6RFCmQIgVCAEGAABq97137mlm5Z97Ncc57 b1bWXlmVlV3VXacjuyorM2/e5b3nPe9znvMcrZBf9XAAcz0Pjx4/gdVoIJNOQVVVOK4Hz/OgqSo/ X1xaRshU0ZvtQ6lYgq4pqFbrEIqCeCKJUqkMeDZvA6DPaQiHQ4hGwlAUAaGoUFSD3/+ymu24UOlc CIGDXid4Hn++dRt0nVzX5b8pXTq/tCt0LT3XOdDx0D6T5fJ5qKoGx7HhWBZcz0WhUIQZCiESiUIR AjXLRsMTMDUVmvCQSSV5THbaXABVF6Ath/Y4jU9rAo+qQM4GnlQFxkIe3k55GDCAFQv4RV7gRknw NunshFUH5yIVfClRRURN4FbZxE9XBewD3bEvhmkH/SANOF3TUCoW2fHQoHEcB4qi8g1mGAYqlQoc R0OsVke1WoWlaVhbK7Az0g0DudUVKP641TQVNbcBTwhEIhEoigbQjXTAG/XU1m9yQf+OwXn0sO48 D2LB5zLptNye68JqVGFbDR5znushEY/zzY5KBYoDaOEwUiGdXz8KIx9FfpSczF5mKkBcBSwPGDI9 XIoAWV2+VrAF5hrrzooONaS4GDYbiKg6yo6Ou+WX21kdymHRae3v60M6leSBVG9Y0HWNr14wg5Yr VdQbDcwvLPJsHotG0dPbC01VEI1GoQ4IqMKTUYSq8XtoljRCkWNxgx0LZ3OI08ARCQ3wY3Iq+Zpy mNW57WmaDuE57JAatg3Pc6GoNKwFFM9GrVZHXVehCrXjc5/rSedDEdZe0RXZgOEhrQGLFtBwgUED UIV0dhUXKNr+cQHQhYe0bmHQdCAQwXxdwXy9s/v/0jgsvhGEYOdimiZsx0E0qvASzraq8ByHnVAs GuGIamV1FUMDfbAaOmKxGCJhkwcYLf3ojlIVjT9L26RBSNv3o3++euvjTKz/aM408hd/l14oR+d2 IDqS5wTHxijKomPqiNFyVjP4hg+HBcLhMFRF4WifvonOmyE8NBwPIU0u2zpp9C1rtoAND7F9HhJF WaPmxr81fGfleOvbNRUHw2YNhnCQtx3cr3iwvGN0IU+CwwocFXkM6VhcGebTSXZtaIy1KPA8myOn nnSSHZeuq+jvTaNcs1Cr1RA1VQhPDtsAn5Lb8WfgbY3uPBrs687Ka/nPh2ogxFa85sQaYz6H+Dif m+N0Lo5oWabqUEQDQtX5fDmWA9f1YBo6DENHVSi8lKJVYaf2gJwLbYsiLE1IR3RQKzvAsoXmcs/k pWANQ2YNDc/BdL2GZ/Xw+hz9EtueDmvdfwRRj8c4lXzuMcDpUlhrNeApgN2oQVNpYa5wqD40OIi+ bC8cq4ZybVViVhQ5sKOSgK+MrpS2byyx8T8/MvNkZOL7P4kHbL9digwbjcZG0NnHWChyXP+TtyGC k0u1o3UCcnI4zOflJEDXZ8f3oLvG40XZbVI6xLZpvCkaj02PrqfuIhQ2oWsqKOBqkMPyncthrxxt ixwWL+daxhl8B0a/0/fsxyiaytvAvI9fKcJD1mjgUrSEuGaj5GiYq5uoOZ1PGLwQDiu4GYMBL+8b wYObBv+6Q1i/GeiG99jpqHJA0p9dB65tQw+HIYSGcpkCZ+kINI2+VoGi6fL9HZr3gsjK8wFZXhkE 90fLoKL3EF5GzoqyS7Q/MjKkY6OsnMJJg9Zzwg9/MUPgbquPOyrnJX3xwbJpEmzfapQYsW2br6HM utE5Ax+zrutdccSd/gYeQYSBQjCeVBcKVDOEBhSoHmAKoO4ClgtoHbjvOVrzAXdyMOS4hL+0W7IE dAH06BJ/3CvwqjjAdF1gmRLltLRVXI6sCL+iq1OyVczXQ6fRlW9auVxEOByVTsePJNhR+QNBJlc8 uI4Dl25031nRcpDoC+wgiM5ATo1mHU3e6F5zve3BseooFIvsBChMl6vKYKnS+Rtkw1IzcDYuQLvk B3jNFLmiqmhYtqRlOA7/TTX842xxgkEURn+XTpaWwd4mnEje/J0+lnYsmFDIaELZ7IAsy0KlUoPT XEPLz1DGNxYV7LSOyo7KF9IxqpqGhitQc4kOIGAqgp1BnQ6RIyIJKXTCIr4XIudoKORk1qMrAsbZ UQkgpu4OxtPerFiCKQ5BZJbUbAyZdYZU6q6CZcvAmn2I3NgLZtrTx/cRiyXRmx2AGQ5DoUiDgPBN nB3K9umaziGwolB0UocSCjUdg64bPs9Gg+dYMlujaeysLMuG63gIx0PQVIpuHKhHsCzYzjbjWZKX tB4VUbRRr8tlIf1OGcyQSWnw7Uda6xJLVdcjTnKInARrpqU7cHe2uY0gagqA+u0+zssyTYVrO3xN mTfHEaY8lk5bMGHI/fMnwUPwynYyOmbKrIVb1mJRFag6FHF7iKgeL+NoHygi6sx3SjqCo9L25feF VYqYyFEJhEK7n086LQS2r1rr2BUtB9O6DLfKjoqZWgj2KdjeNM11XNy59QnOnb+CM+cuyGhh07xO A44ip3A0inK5jHAkyiRRdl6uK3EoHoC8cOTloSJMBkPtBuViZQgiiXv+AO7QbNeuscPxl4m89NM0 hAxTRnx0I5EjaoOzw7O7f/NJx7UetRwO/N+QCt3T5HcHRNDdv9OxZbq/Vq3yNxAwTVhPp43OAU1W tmP7uGcQ2XoIh0Id/a5g+DXzQv4ZJEfF3wvpHIqOdFgUFQVLuYMaRU+GkE4roKAQPaFgAzV9b6pD sMCQcT3tq4OsUWeiK0WEa7aOJWsdmjg1QLty7U1eFpWK+Q0Xeyt/hrJ9OhYXFzE5OckhL90YrZEI vY0wIAmu+lwY3YQJ4stosG0Hrq7yUvJ5k4MCYL0Vq+qIMwyiLp/1L7mv7R9rQFlqC7NSlF1Bdt5H lXBGBWHT5AddSI5OiKvUYSY44YT1eh2WQ7w8hccL7adjWx13WHLsBk5+6zmgv1Amb8ESqDvkTDz0 GtKpHGYkkkN8VBW4aQt2gpTxy1kCBZ2WdLtjZhxttuytJlyEiO3KvCyVwXZaFp7aumnMVTFMVMvF HWf0dZC6zoRP+sllHZuYLXzT0M1jW3BVwr1s/yaSszhl5aBo0CiiOSblNkcBMnPU1eK4GNM4IqY1 O0Y/G7ifYzEZRzT2xLo6Y6KJm5XLFf49Ho8zXtZpo/NLFBqqlNjpSMhhjRgeVm2BT0uCs30jpndg SgKTRh0wbkbRWr9B2T5gtg6UHOm8aJm4k9ESlbbhQ6F8n9B2WsF293Q5uMF45BimyU5otxVIyDRQ rZSRTqdQr9ZgGJRC3nilOZtIN6duMtudllaUCSTagqbrsCxH0hd8kuhxYWAflcnlmXQq9Gi7Zm8P lnq7zmrzvrVmTY/Cgs1SMiPA1AL86iioIUF2e7dzRk6hV/cQVgQeV6WzHjI8Bs95G218HzmqZUsg owMTIQ9JDYhr0gkR4E+v0XftNFfR8pRAeno/gexR1eFloeUqWD0F23d2WKFQBLWaxDN2MrrZDF3n glNjB1Cabh6XoisGcahEgpyVzD5aDUsuC2jZ4Q/eF9xfbXRafrTVXqS1Oy88WAYd9MZvguxH5rBo qakhGolwZMWZaHedhd5pY05gC2duO/P8yIbq+H64IrBoefhyQqCPIi0/wtnvnlFd4OWoPIfk8Ohz wyaV1QBzdcnF2umeon0g7tWTmuDfU5qN4VANUdVG3tIxXzdlZvPUtnNYYdRr1T1BXrnU2TnGJWfl 8IAUUMht+agi4VoNi3ALWTrxsjirDU6LBinF/rxElOdgL+NgYYeIQVIqDnnjH3GdIe1biMu3aGlD JVhcKnxk38dknF1wrGZmjmEiyuwJPKwK3Ch7uAIZabUL4wXLyUC14WFFbjOre+in7e0YXQk8rQpW aSCQvdewmN1ORmTRpYZxyr3a02HtZywxuKtyBLWdUTaI8C2q8QooD1SOQwOFcKzWDNrLZFyoqwo4 jowwgr8d1GMdNgsZRFcdq+vbV8LzaDPDFGHZRBjehQ8X8JrvVyWznDCmmZpcoqpxgWHF4wipXSvb cpskD0OA/kiIOFW7RVfA45p0oD2GhTPhCiKKg4arIG/rqLqnzPbtjE8pSb00GpJZu5cFN8h2t5FQ DXZWOpNDA3Kli1wuD0PXEImEOUPIgO8mTtPLYEHq23Edpj8QjYJkd2QCg85tQHZ1GfOjrKzjeCgU Cvx3SnhQwTkZZd+qtSoa9TpnYEkHirTE9ouTBcn+bkwcAfeq/SVx+6YwgXn30DGhygLkuOrhTAi4 VRa4UxZo0DVJCpZ+addpkTTMZ0WB2Qax3GUUx2N8m/cSGD9Vk/wrTXHRb9QxHKoya77qaFhu6Kfc q90c1no6eN959OYNt8G2mfFpKUjETALrKTslX10v/XlZIi0ipS4uLqFaraBcqbBzSiaTmJp6xhk0 0zSQSCT4EpRKJcQTcQwODrFD+/ijjxi4HhkZwZUrVxCNRXHv/n08fPgQKysriMXiOH/+HD9YD2of kVfrFX+hroBfcbDbcdGwHTQ9DPrlokT2JC4VLeUI/DaSMuNHJTi0HV3Z3vHQa1TuQ9lGcj7kpCh6 IqoEseF3mjrypH1Vl9iVoRDg7zbfW3FUrJxyr3Y0rXUpRzcF6QvtZYRJyeWetyljRexvmuPWjbhX 9AcS6Atmf4og5KDqyoLkWBiJGf7V977HoPP8wjxCZgjf/OY3kU6nGRekn2fPnuX3Pn3yBNVqDUuL i+x4Ll26yDWP7773HqKxGM6cmcCNGzc4srr+xhscbS0vL3MFQW9vL/r6+lh7bO/JQJK9movDo74Y XVp90oG0AzuQc0rqUgm04PiqCT4hlDKBVBcYlN+0GsGIlAmkbOOdiuDPktHnG/6DFnatOJbjOzfC rsiInU+ZQXKUBLITu50ep7aHwyJwlJYXxMlqL+qRDGuuvOOwiUCCoC5RyvByrWFAbvTr8lhOmV47 gjKN42g0GczOzOJ/+O//O17aBbaRqyXvCnJcxFlTArIllYCsrWFpeRn5fB63b99GJpPB2Ngozp09 y47rww9/hV/84j1Oenzzd7+BK6+8smtdoIzCZEaNJyBWzjiaaxHIEnVjeqL9p3PA0+Y+vy6teRjQ KbNHy0KBNQfIurQs9JB3BRNAA9Y6OSNyVJQBtHynNNsQWGys/50yhkROpb8RRkZL0CCyoyhsoSH5 W/JvBMzLKYNIopQhPC3F2YfDojpCojbE4gnsZYFqA2ddXQc2abJTOQ47L8oN64yJVWs15NbWOLVN lIjWm4ErvHYofiZgmqIwijxeJGe2mlttkjW352rJMqfmTa6sOzSSjX7j9de4iJzeR8u/4aFhFq0j +8pXvsyPz2/e5MCXlCj2KmRuLeg+ijrCloP0FS66cy2Z3kCTQBsuknAnWsaRk3l/TUIWWcNjvInw LHqNhuJsXXCJD/Gt1mzgs5LAdE06MtVfal6OAAmNSoHkfUKfZ3kbkLMSTGcIynEM4bJ2e+ty8JQs up8Iy4ygXq/tG9Ug/IpuHIqmFC58loiITAZ5WFhaYolkAoJ7ejIb9KXImlFWy8KQtkH4DYH0dMPR 52ip9KIYLdUoatpsm50WGRFv+YxyJCSlXwjD2svovNE2AuWJ/diRrwRZ8qeLtaO+cGE7AN3ZiMeA eYUiLBv4xzWBcxGgTweWSauKsSmPC5unahSJySUkOa/gyGjZeC4MvBKV7PmAxU71hSQhQ9ysVUtG Y4GVHQ0rDQODRp3LcU6VGfYbYYVMpjbsRrprNVloq/hOi/Cp9awf3SxUVE0SyFzKU29w1ERZwtay DClNQ8tCmU1cWlrCLz/8kGWVyXFdvHgRX/3Kl7c4u5Nqk2cmGePbrZyHzpNjy9InMk03dsymBlFR a3SU7c2iXCm3uWc+kfcoloP+WKHjPtIorsVkDimQSNrfMZEUzG8kpaID1QaSAmi6QQRTjyVgbpQI 0yK5F1l203okwgfuaTlIV40e5KzI8VGnnJm6lJEhzSv6e6uR7DFFVvSgYmf6eWo7W9N76LrJ3Uf2 a4FEMukQ8UBkHEtePFrKZbO93OZreXmF30uYTLa3p9kSjExKLMtaMwKNf/jDv+XtfeN3foeLrG/e uoU7d+7i6tVXu9aK6iitVC7tedNy0kLofjkL8d0kBcSXDtwSTa3zuuTrdJ7aLWJucrKOMNQK9MW6 YbL2VWKAAQAf/H03owYR38h4SBU8fFQQKLvSOZ0JU9mNwPtrUl8L2zir1+MeJkIyCqMoipwUdbmh n7t11CHuVVK3UHNV5C3tlN2+b4dlGLDYYXntDQy+YQhzCjiOcraORiMYCw03lUrnFhZRo8p9XyyP Pw+Bcj2Px48fYW56CV/80hcZcKZK/sHBAc6szc7NYWhokLNfwXeeVPv000+Z3rCXkaOiaGuj9LM8 x4HR39ZILVU3fAVX+eKnN25wKQx1NGqv/RZ/8wGOao9j4f+YHYVumcQCiTbgMb5aLBbZuVOkTt2Z wpGIzFq3jCXb9XiSoPctrNSRKzhYFRpERcUbSZUVTSuWBsvhGo4mt4zA+HNhwq1kf0Fa/n1SBD4u yKyhVKoNzu9Wy+gNnAlVkLM0rFj6Kbt9vw6LsoPFwlpbcttSsNKXVPYZ7IGeemsZD0VXtmUz+B4o P9BjeWUZnzz9/7BaXMCXXv2nODt8pblt+uybb17HBx98iM8+u4GLFy9wxx3KZrJMDRVXqxoPvED2 l6ILunlp2/RctoGSEaBFz7n/odwHej0Qr2uN3prE2E0nYvMs3apIKgflunBfkA0NlrJBtjRk7i8D KzN4u0dJtE1DN5jnRplDOh46ZzMzsxgaHNggnLfndfTlAlprC0Unl4T+TdstojAdDp2PSqWKp0+f 4r333sPs7CxjiFTTePULv4HxkWEkoyFWeCBayFS+gvmVVdx/+Agf3b6H5WIVrmrgRroH76ZTiGT6 oKSy0CJRhkBU3UA0ZGAwpuIsRcWOioWairslFx/lHeTrDsvocLkaqZuwcom6gbsY1jUWjCwXKpir aFjzsl05Py+Ew0qke/Ds6UNZnLrPJYXs4isD3ubN6uvAt97QhGGRw4jFomhYDZTKZSwsLOAHP/gB 9Ow8LryVRDi59eaiDNiZM+P4i7/6K/zVX/81vvSlL2FiYgLT09NYpdZhQ0MYHh7G3NwcD8xUKoXh kWHkVnN49uwZf35sfBy1ag1PnjzmG3psbIzVKZ49fcolQ7S9nkymqSgQCof4LiPCJplhGkzspGiP jDA5uu+IF0W1ceREaVamjGgkHGYHSBiSaZictaPzUC6V+Oa5evWqHw11xuhc0/mkiYBAeXIMgwMD suv24iKfZ+qmzdIrvo47VRpwwoNwxiAryVgkhwO8JKeMJGGNm51+8JzeQ++liSOABbgsxscuaVkr +0w6fN15YlEl3hlMLKRDRvvZ3KYvUd10tMzdo8+1d77kuPPw8ce/xru/+AXGx8fxne98G6MjI9zw l6CHH7z7Pm7fvYfLZyfwZCmPu7dv4tHsIvRIDK++chn//J//S4Syg/hkdhXP5hZRmJ9G/uljFN7/ ORy7AatShmqGEU6m8Xl2AD9LpzHQl0Us1YOF5RUszM+hvLKI6uoSvEYdnlWHFoog3NsPNRzj/SS/ dbEviQFzHPcezuFXjxcQfnuQ0vUdGx8vojVHQ1/fAMqlAsqVEhKJ1J6RQNBBZ/PbAhmRQB+ei141 6gatcPaP1CdpYN6+fQdvv/019J0ReFJ5B3Wb9Li2Gg24//bf//s9D4SUUOcXFvhnb08Pp/1b7dy5 yQ3PR0eG5QlQVb5BiYahqArGx8Y4W/fs2VN+vbc3i0ePH6FYLMhUdzbLN+jC/ALCkTD6+vuxurKC XC4nCZuxGNYeFtBolPBsapq5bXfu3OFs59fefrtjmumBEkI4ZDaXEeQYKBL95S8/xN+98w4ripJD JrIpOWhaGo2NjSOdSWNudo6dGmGNfX39WFlZxsLCPPr7B/D6669zVcLTZ884oqVrQFHIkydP2NGM jo7yc5ok6HxT9pKOmyaSXG4V2Wwfv4eSKLQNSgRMTIyzs3j06BEz/N94/XWMjI7Ibeo6TyzEU8uv 5VFuVNEQdVw8exHXzr+6paXbdhZE0YEixOPHj/HatWt8/AP9A3y+4vEYP/51XxY/ffc9vPuznzHx 9uof/B76BgeRjoYlNcfzUPEUlNUh2OlB9F1+bcv32bUqSsvzqKws8c9ff/A+aoU8O7HU8DiGLl1D dngEF0YGMRhWUXNcpj8QB4siwISu4NWEh7HQGpbXZrBSszC4RWHu1HZ0WJTxGxs/h+lnj3Dpldf3 Bm6ZHEqZwh1ebnFcxJ7P9mX5hiGVS7oJlhYWcfPm57CMHojMVkC5XaPI5+zkRqd0GDt//nzz9zfT 1/Hm9evrLwqBq1de2fGzr792bcPz69ffwFEYsdnpsb5bgjtxXzh/Hn/yx989sqwcZXBpiUVLz9Zm HMPDQxuWkv19Wbx65UqzXyS1e3vl8qXm6/lcDqmk7BxeLpUxef4Mfn3nU/zDzXdxo3ALv1X7Gl49 e6VZ9yhpHxJeIMfEHY5UKrb3UCxQw94VdoYPHjxgCeiLFy5gaGQE2qaEDY2Vb/8X3wL+yTc3Hpif BAqyhilf5phUGIIRSodKP7VQGKmRM/xoNSrjSWgC/abCBdBnwy56NQc1V+BXRQUrOQ8N/7rQJK5Y NorFEmoixPSgU9vdNsTbI+Nn8cmH7+LCxau7y8iw9O/+sj5SWsVDJBxiMF12FBF47fVr+OjXH2Nh 3kUm7cBtUulOgHUpPd+ubcCgmO8l5ao7bRRNXbhwYVe2fmCBPtVOOvlBa7VivYgPnn6Iv3z6PShR BX82+W/gLJFjkpgg1aNSNDczM4NPP7uBkZFhLgonqgiRaX/04x8zZkgJB4r+vvPtb/N7msLpW794 12Ok5esZU6AcFbA9BboqULI9rFkuc6+I/U4UiNbuUuTcJqMK3kgAw7rDzovPP0V/nizzCTKGvDwX AmEB6JEk4gPrDV1ObZ8Oq7e3jy92qVhAKtOz47KwKSEj2lO3ZIG/loQJlY+Mjg9i2vlPqFirOAkm I0cf8zmm1qzV7GJnooD4ymUxLYkLJsAS5YUrHTbekKRasVhawlJpGT+8/WN8+OxX+JO3votvXfgG /uHnv8Ddhbv8vnx+DX/+5/+R1SkoGtF0jfsKVMoV/N1P3sHX3/4a/pt/9+94ebvVYUrnw53G2wT9 x0MeP1qJCbS9eVvBvYqChxUPBVs6nsGQwBsxkpVxIdsI+30xfVusu3ha8WBTJQhHYrKULVetwVFM xPolRHFqu9tGRFMIjE2cw9TUIySSKQmubhddiZ1lX/d2XDKTSIOQwG8uLTm+9/72dgKYFTJTKQvU u+G4NuvYk0OnDBkx9akFHGXj6A5uOg0BrFZW8b+983/g/vJD/Na5t/F//sv/gP54HwPxBPpTlE8J jTt377Cz+rM//VOmywRGpOI990tWuXbsotG4H9JdDCVdvBUjmWSBmCb5VztpxJFRjWLdd1ZkMU0g azaw+PAhHjyeQfitFsjh1Ha0LR5pdOIsPvjFO7h0+bVtHVa70dVmC2ItLtj95YdYWJqCcbEEET8B XqAZNexGBTw+JvskHk1r+L0cF0dcPBNJIut2AENfPIv//Q//ly1/pyhpdGyUicN/8/3vo6c3i3/7 Z3/KyZF2rSmNdQTDi3CuGLcR25lnJU12l5LLYjl2Gq6Lsm1jaa2EJ4trOEN4Vud38YWzLR4pmcrw RS4Ucujp7dsQxrMAmxp0gz6YBRMsURK+8pWv4B8//8+IL6zg9dEUTowdUwxrswX8sG4bZYElRYFK jRxonsVYVLuUjhTVkXpgysBBnBVZ0CDXJwfieZgrFBRcBQVbOitDEeg1BSJWFaWqBT3RA1V/McrP jtq07WZIirJmpp4gle6Bpq07LGogQQOQZUgO8aXB0nBy8gxmC+OohYpQxNG1SH/ZMKzAuoVhtRqN j0q1Ctt2JXFWKKgRD89qcFnWfnAkJhUvL8Oq1/CH/9V3D7Qfgp0U4NkOBGNYmuQNykaR6KYR+z1v kdifvB6252G+BohGHUZ6AK9kh1E5Bdz3ZdtOeeMT5/APP/k+Lly+hrVCiflJMh1CHBcHyUT8UE03 ZeYErOlEXXgCkuaJsZOxeu0qhrXZoVtWnbN3FOGQ4wqZG+WFdjNuFFEsseM7iCmOA/WdH0CsLMFb yzNfDUQZmDwP+/qX4EUlebNb1oCCCkWbXmsiwEFI2ChS5rOxinT6FHQ/sMOKxhLQzRCWF+cxMnGu iVsRaZAyiJ0qRKZ1PbHIa5DdQk6CnWJY+zs/VDJENASpNx+BJxRUKOoi1QZfhXNHCWNFMKeLqhkO YhVPxS8yX8CqqMDrWXfWfZEE3lTCiKN7RjpYKw0PBV9hNDCiPFRzeSyuFWAMrXPTTu0ADouXhWNn sDA/g1RPP+bmFzgKIkazaejQtcMJ63ktxNJ0bxSGkYGmnKA1/EnCsLq8r0xxUBWEQsSJGpDMc89F zXIwA4ElW7CIHbXUInWE8bDH4PXmbVBUdtCqAAsqfuaN4l5xAU6tCOE58NQwrvf04TIUxLuYlqbJ vu4pKPn4VWAx1UZjZQoPHj5FZvztru3PSbcdUdDRiXP46Y+/h/GzlzEwMLDe4uuQXxjcQBQS375z F1VnBb3pfphqN+e9g9sphrW7kYMi8iY9uGmp7XBpFhEtV6tSVI9irMdVgUR8B610wrCWpBz0QSym e7iUAZ7dXUC5QZ0hGlCjCq5kPET17mZ4qeC55AoUWoSwSDeLaA2p3gyGxybghk7rBw/tsMLhKKLR BKrlAneG5gJY1+aymsMtCWWanTSwPv74Y+T1FQxOjpwo2ZiTsqsyugnkY7ofFXJqxicNEwv8YtTD hchmTvtEAAAgAElEQVR6izEaRTtlnKn8h2ohD/S9novfHyew/yLenyOyJvC1IQ9fHhSIat09D+Sn SKO99Thp/BDwLiJJJPsU5E4B98M7LHIgw6MTWF6cQ//AMONXwP6B052MqrXo4tH2xifG8fjmO1ha DAEnBHMMpGJOgrVK4jRlcLrouII+jIHxNLeP4UP7OjA4wE03DmpJ3cafvKLhm+NSFDFjODDV7okI BkZSyUwqbTGVSnJUD8WVRTx5tIh435VTDtY+bVdizOjYJH7y4+/h4iuv+dpOnbrcskPLa9dew4q4 CiN6srKEz4MucLjuzuu6VN22zeU4+/uMxLDkJHnA7/UbPPSbDjSdGqQ8H6s5UvedW4f5RgkHRWjI 1ak0p4FkhxQ88LI7LDMURjKZxurSAi8FSb7k0Oa3X6d7h6RFqMJ+MHkwUuDzsCBaOSlR1nN1sFKu o+2P0bmlBrFra2sd2YXntYJnLTFFcN3g5n2olkuoN+pI9PRC6cR99ZKYtms4r6gYHBrH/NwUsgND h3ZYzeaWAigVS/j+938A9C3h/NWdpVqOo50kvI0tKD7vtuNq1ta1f75ofJw4fl4woTF26LE6w4OS i0clWT8bGBWHC9tCRNeRzaZPZZHbsJ09EIXynofh0XE8engLj+7fwtlzr8AMhQ6MOrMapH/zEJnv 0qULmPWmoAkThrqu63Sc7SRhWJu7IXfTacklqFSlbVfrjMZIf38/FpeWcNLMVXUsOaTQCkRUIEr0 Dd3GbNBBj5eJHnJ1C261ioodwWmOsCOgu2S1G2YIb33pN3Hn5ie48emHuPr6F3ipeGA8g+vbJEbx hS+8iR/d/ns06i405eRctpOCYbXa4SUSD/Cdvj4WjaP2Pielqg+DYT0PY8lnVUOpIWkMDRIWtGUz Vr8qh41KdMhpuVBRFfqpwzqsw6KTSxIyMpASXBB97fpv4N2//yEqlTI7sYMsi4LWYGREa/jVxx9i DXPozXwNIW3vjtPHwU4qhtV1Ail9LzmrVihgn8YSxeUKa7OdJKPSG2pRb7nAXM3FXJX6BMj7KSjL ab6XHFrVgdNlmsUL6bACXeymdJEQiESirN6wvDTP7exJ4+hA5t/s0zOzmFm5B21ARdTIQD0hxc8n EsN6Tiaa7cnad1iUjOkE6N5V81xEYCGlatA5seSh7rjswDab0HXo4ShU7xRwb8e07QX6tsJUdPKp bVEnjPoTktZRfKiKobNXkTAGcVLsJGJYTOH0FS5bZZSPmkzKWp088bXn4On9vT29SCbncZIskEoe DCuI6wJZ3cXjsmxNv9bKa6DlIwMjslPRqR3CYW2OrgJby61y55jzl65xU4nDGHWqWV5exEpkGpfD X0NUP1n92E4ahhWk9r1tMllHLUbItYWi/c9QR6Kgr+NJMtr3qisYpyIJroINxrBajXhY9XIJ+fkF 1BInI9l0LB2WjK6oVfrWJqL3732OweExRGPxAy2JgmaalKuiotb+gX48mytiKT8DK1ttvnYSLGCN n1QMi3/vYpQYiH62jWHVTo6KR3MVwnpxDov20cP2XFQ2AVghVSCqeMh51AX85IyjY+ewdoqucitL KKzlcOHS1YNjV35TBHKG9D3ZnizOWb+Jcv0xZoufIaz1IKR1V6foINZa5nKSrSs6783bsb0cJe3b am6V9bQ6sQ9te8xDGDfccC0o0DBggh8L9dY2FlSiJBBPxpAd6EfeC3Vnx140hyV7x4kdoqubGB6Z QCQaOzjgzJhJ0M0FCIci6DHPYyD6FiKNHlTKNrSYwxpZxx3UPtmuamPJTJC1PbLv2aamcM/PCIFM OsNt5TuyA100OlZDcRHSBExFIEQsd3kSmu8hukOVlom0mnkRBtNzaaRKjSldp9miKbCV5QVUSkVc vvLGobGrwBHRj77+LD748Jd45+9+hkQiwd2Gv/ilcfT1lwFvAHBHj6W0Z9Bn7qSbbFBx9N6Xo9ED EEdJ9I/KwTphXQyw2OgeolpZ+J2CNh8+YViNcgnL8wuoJ0+GrNKxcljrzSXElpvzwd3PMTI2ybSG Q0U+PmHU7+PC8sjf+uY3uTsvSdc8ePgQ9+/PINW7CtO8DVhfB9yJY+m0TpeER+sxuKylXuMWX4e3 oxo/EhpwWpwQmUtqX6qGqqeA9l7XFKjCZZmZwKi2kHTAWFjwBZj8uu6wuO33Nq27lhbmUKtWMDA8 um3Lr7YzVRyd0IwrM4Ukg0vty8mos8mvfvlLwBvCF99eg6G/CzRigHe8MoinGFZ7JqOrg8U4nUAG ZIevzsdYDjklaLhfclFzXBbko76D1HCC7qOE7qJfdxElKSWF+hdulFiKJpIYHhlFzjrFsNoxTUZX JL/hbAEP7929gZGxsyzm1wlciSI4ulgBEEvPg9T1tauvotGo4/79p/AUgWvXHyAZ/RSwfmsvUYmu 24swJ3KNXzcY8AfwVzSBUi3hzMxsx3ZBdLgEh1j8D4sePi24KFouwhq17pJazxHFQ1JzUbEcrFqy CLrVKrYHKxRHz+AwwssvwmjqnmmSj+NsuaAL87Ow6nUMDI0eqkPOdsYAP/3S8qUEsL527RqWV1Zx 52YJA4NxJC8+ANwxwLmA42IvAoYVFKB35SgO8EW0f4RrRqPHl6OkCQV1v0CQWAuLNXJcBLgLZHQg rQmUXJKClqU6rUYfK1UqKMzPoFIwEB49PuP7uJu2HeOZlof3797A2JlzCEciHc3aNaMsvyVva/nP k6fPMD83j7NnJ9GXmQS8nwPah4DbC3gZHBc76RhWs8FqN47hgN/h2DZzmo5rhpXURrJhD2rJQdXx 2GmVbQ81QeU4QM6Sbb1K9taUA0Mvjo1ybgWlgoGe53QcJ9E0SmtvVmOkbjm2bWFgcJS7fhzdpLse rNNNZNk2xsfHcOXKFSRiw4BdAfS/B4z/DFi/Cc8dhnjOy8MXBcM6zlEiN6FgAb+DNaFoNbpOnW4C 73J9pMvRVEB2llgZkDYIZBdYbbhMX9h2n2gbWgixniH0nTwy/3M1auCxwYjacP/ODYxNnEco3Nno KjC5Tak6Kp/Lnz2ZDFaWl1Gr1eB5CoR7CXCKgHIXrngEz00R5a7pNJ6HHd/bvB1bj2yP2vEeZOtM awiHETKPJyBN+G7VcvCsDKw2HM76qf6BZgxqdEEqowoKlstRF0VareeB+FmpSARGfx9WRRU112Gx zFPb2zTXsVGv16BrBjRdx8LcDHdjHhyi6Eo5cn5OEGNx44H+fty+fRs//enPuPPv5UsXEQq/BlWb JAUtQIR9WgvNmus3XVctWE6dYOOMbbeiRP6K9oufk8kUorHDVz5Qj0TOgDMhGR3EMV2OrgieokiK nBAZOSgC36+ngNW6wM2iixyBWC2nmqSbUqaKSimHZw+eoKf/HDQfsD+13U0j6sK9258hnkixmuj8 3AwmJi8gFAofeRTTbI7g/04g6/Xr17nW8MGDh5hfWORWT7FoBNdeu4bBAYLcBNc8usx4CWR4qZi3 ixf8hHusrmJYZKL9/aOMMWmmHdbIUVmOzb0QO5krJLWF0bCKx6aKR7bdLDAn1K3sePDqHoPwVAS9 ebzQabc8FS6vIuxjvTw/bqbRoKjXqsgODGP66SNEolFk+wbguA4aVoMvONUPHtXS0AvW+T47eGho ELFYFLlcntudLy0u4uGjR/j441/ji1/4Avr7+7gwi5autmMBrs04m6KbXXFa6wJ+J3yQde0mad9R SD2sVRQKh9fDCkrOOk4gdV3EFIqmBGquCsdXF3U9gaW6izo5LXZMW+c3WebvIh0zMNibgn38uNHH 1rRwNMYnm8puSsU8Go0a7t/9nB0C0RqoowfJItNP13EY1+rkUrEpedKSRUwlk0gmkgxujg4PIdOT wePHTxiIJYdFjs3zZDhOEZZkGlCI3q0o66SPsO5gWDJ6DoBprz15mVAYptEBRJrGxRG0zqHxFlU9 xqxKtsL9B2XTVA+5hoc1n9re2nwiMNoVFVRv6CFq6iic9OHURdPMSAz5/Apmp59g8txljnRmph4z jmUaIW5FdOvGr/kCERaQ7skikUghlu5FhLpAH9GykTarCoVrymjwSuE8Z6OyhKrxDUE4RbeWhPIG P2kCfs8Jw9o8G7WFYSUR6wCGtTkb3dHicUEZQaBgOYhoAn2ESzkuHI24WTJTuFkamczyPOTJyWkJ CLGKSm4Fkf6Rju7fi2oa9BD6+ocwfuYc+vqHZaV8T5ZpDeFIDOVSEVajLqOrSASPH9yBq2hA/wRe OXMG2WgEOjmMA+7AXv6OZqi5hQWWGgmH1xtVyFlTBVSFvNexV3g4ThY4qm5JzBzkyshV3OGvKW2B V+8d8lksSKioXKr2oAys1D0uyyGNq4GQwioMFHn1hxQ8KNmYqxLrcKPZLpBvAFFXgVsvobSyeOqw 9mlaSFPw2vXfQCqdafYdpGJniqa4C4hlsfOiwa0bBmNOz3J5zBbLCC2t8N/741FO4x7UdhPu4zBb NaAYoRZNLUnKW7UV2C519+1ePf6LwsPqirPynU67V4bGHrWpz+dzh96HYLx0MkNI/2j85S0PMzUH aV3BWERFf0hAeAqX4xCeFVcF5rdRopb+04WuuYibLkIOCfmd2n5M0wW4uUSr0QUOynGI6kCPwIj9 biZXYT17hmKpgE+LRVzIpjHW1wfzIC239/A1mhCYGB1GKZ/D+7/8EB999BGGh4YweOEVLGhJRFUX Wd1vTtmlKOvkR3Pd42EdRD+eOyZrWkdKwoKGwO1qcu0p0qd43NWZ6gKLloO0IXAGAjGd6DqCqQxU CL3dYRP5MaG56A8bsLJJzK76wplHSCN6Uaxt2jhlDPvSaWiqgoqn4NHSCh7cv42KZWO4vx/pkMlM 33ZsN3lkwgj6M2nMTZzHQt2DXVjGwkoOhfsPYfWOItSXgkelEb7Don+sRXSEdtKjq67ysFrO136v Cu1bKplCLBbvIEm5vc49uxkdDvUVJBwrZShYqDm4X3IQVgWSmmBag+0JyYTfxleTo4tpCnpiCdQT aagLedStBrRjSpQ9TnagOhfDMDHQ2wfH8xAzTdwoLOPpah5FYeCVgR6ENY2JdJ0C5AkviPUPot9M YZBEPawaPrt7H7n5jzBw/Q2o8d6mIp0LB2vVORSsGaRD44jpfVAI6+qQnXRn9TwwrINQbVVVYfXZ wxolZ2xHdoLqhEkCKoHtCnOsCB/rMRRENAVTVRfPPA9RlbrmyJrB7U4xYVhLDRWLtoFatYy1xWno Y6+dOqx92KEK8yiS6o1FMTl2BjenpvBsaZlD+b54FIPREAOR+xkne72Hoqy0oWIlFkfYiGPEcFCp VvHhhx9i5ckDiIkBdo6cSfSoY0kVc8VPMFX4JUbjb2Ek8YWO9T08xbAOYD4Xab/zF11H4uEVO6Dp 3twBXxL60Fvy+xLQ8RB1Yanu8DiP6WCZmdWGh7jmIW4JrG3XkJAclk/cNRUPSjSE3ngUuVoFiJ2M ZsLP0w5fSUwzDhXOVPI4O5pFzXbwYCkHeClEdBUp00CIMnk7mR+y72XU1k1TgIgKxHQF50aGMPu0 F3at4neq9rE3oSAZGmQnRQ7r/uo7cDwH48nf6KjTOtnWZQyrZWm2f+tcCVTQcdwjDfUO9aXUVBlZ ZU2ViaJPyw6vOAjTKtvAqiITQzsdQ1SxkdEa8Hp7cH7cxUdW9ZB79nLYoR3WaqGI2anHSEejuDiQ xaqj4HG+iHuLqwgZOrKRECZSMUT17b+qucbfBWMoOcB0XTBYmdV9Qp5hIpTuhVJZQ6VSRqLJ2REw 1TiGY68jqvfiUf5nmCp8wDfAaOIL0JV1asTLuizsNobV1I9/TnpYFH0TObpT1AY6bRpsXIjqiGtE XwArjwZSMuSoSHJmNyMuVtlxkAybiJsqrMVFGINnDr9zL7gdymFZVgNPH9xGrbCCicvXECF2slDY UT1dyTElIV9roGy7TJmijCQ5nY1jJqAq+Nv0yxnovfSg6z5bp6wLMBkGwqovz6FoiCTTWJybxr27 9/Dm9esblhxCUHQ3iguZb+HZ2vt4uvYeqlYe59K/DUONHSpSOtnuqjvNJ7a3/UdZlCE8yuL7w5kH z3EQVYAJQyAZ92AK4EZRQd5yJe9rj7OwZqt4UjVwKSLg1stYnXqG0PnrUA+SaX+J7FAOa2VpAfVi DuPjZ9HT28/gOMHb2bCBaF8GDcdF1XFhqCrqpHWtbKNns2nZR8v+ug85kMOS5Q7AoEmP9ZGQ0AXO D/Qg90DFvXv3ce7cOaSSGzEAAkfjRj8mkm/Dciw8yf0jLLuOsejX2WlR09hwONR+K/WT7rR8LlE3 rZ0VIU1g+XwepVKpI99NJV7rS1LRwaapNkdvGRV4NapwMfOtkoICS8rIWsLtDjmkAimdwHsTZdeF rjtIGR4E1caeOqyjcVh0waaePkKmtx8jY2dY6SEwmhdjhpwpCHakGafhc1ICvIlf46yeJOFRfzai z9FrrTk9+r1P96ArQMrfW/o4dR0xU3FcuHgRn9y4wV133nzj9W2cj0BEz2A8/jbqjQZmy59BeCGc Tf4ubMdpEmTb7+knAVW5tOIz0nzefNayzG1VR5DSOhufB+e0vef+llvImfyePZ7LKgG5TpPb3H4/ SfGzWq3yw3HoxtJhGDr/vV5vQNM1JBNykqDnlNkjjX5qKEKaZi0nzP/y9fO0m9E+kbPqlOKolOOW ckadRh+Da5LRXJyLCBQdgWVLMO2BiKX2NuEWK5OoQFJXYXsK0pk4zo/3Y6pShBKKdHgPXyw7sMOy Gg2s5VfZWe3WDZpubQbEFaBK0ZO7sSdeMJZJVZ5+N4RfStGSIaSLu11ampYMqaER4PEMpqdn8Pq1 q5yl3GrSaY1GvwrPAUr1RbhuA7oealu0IGhAuv58O2cim8Y2N00Ow88MBc5i8/PghDRf3+Rc5PNW 9jgXnXAROP9rwaR2et50FhtItoGQov83P/oipYypZ9N4+OghO496vY54LMba+7V6HWtra1wqdfbs Wf5cPpeDYZpIp1Ls4ChCIj0rKmQnxnqlUkUynYKu6bh9+xZLx/T2ZlkKmVjt5Oh6e3uQy+VQKpYw MjoC0zxol/Gt44QwrM19BDpqnodezcXFqIpeR8VslQilNk/Cm42aUiw3gLguoOkKY3URYxWFhRn0 ZPqPaAdfcoc1O/OUB2QkGt8XQ5ccDi3taLzQUk9pFjjLm5ZCaKJJ0HPVd1q0HAyw0qDvW6tR1Lbs mVh2dfQ3GrtLvnhASElhOPoabOUzuMpNeN51jrA2xnS7m5SWWZ/5NwPXQcTS8rWyvdlOz8kpbdzN pjNrfT0o4g0aeLS8Y9N+7P68uf0tXKyNHXRIW//O3TscNfVls7BsixVAzZCJsE1qoCYMw2Btczon 0ViUJwuWIzJ0dmz0t1g8BtuxuewrHotz1UQ8nmCHlYjHOcqlAntSZqDP2DY181WQSCRRWDu8vMz6 ee0ccXQnCwkXI4aA6ahYqO1cIk/DNNeQ7cdEVEXCCEPYNVQWppG5+Pop473TDov1ipYXkEikeSm4 34FA/dlU/6fYVOBMOxL8jRwa4ViMe/mlDNthX1T6sGQpqKsmO7fVchV9ur5jNEZLmrSZgWpqUPVP 4JSv8w3ZTnTF8ccmh9NqWzJvmxVKt1Es3fCZvV7vxPNN29/8HlrSTU1PoVqp4Bvf+B2k02kcxnp7 1tsskPsdGujfm4eVz+Ojj5bQKWu/ovHgTisqbERUhcf5DlQsHtuLdQ8hVcNgPINsOoP07CI824Lo hKzOC2oHcljkoOKJNKrlEtdA7esz3K9t59dabyKKpgizopkoiLi2G27kxAjXGkhEUCnouLlYgB5L oEffvjYtzGqlMShaAop+C6qht4VfCYWiq5MtLbMfI8ImRTq0LCOZl06Zv/LkAvrdJjnu/Fytsupo p4zKtQiHY1WYI4y0aEpLKC5GTYFZXbBk8nZGe0CE04jq8aTZk4phpKeCFbsBnDqszi8JSUK5VMh3 hMsT4C2tNYUUZe01KZIDnIwApUwcv3rs4fO795FIJhDtS0inJ7Y6LSAEqCEZurXjrNaZlniRjYBu Eko0dB3nzp7tLLWAl7c+ZrcXDyuZ7GhfQo6OCcDsQqRlCBd9OvUnFJihpaE/ZGhMUlaRSnpoL+Ia MBahpqsNOIaLkFJHaX4aycnLR76PL53DqtUqLDfTsQrzJuC7/xIObgmuAaPZNJ4N9OPh/Xv44H0b uP4aLg33Qd/VH603wNjX7pFg4EsQXVFJzLNnUwiFQkze7KxJPf696vq4a04kypNix6zLEw05rZBC DcZkH06yDTCID4VQZYapGiwLbgoLKw9vITFx8RTH6pTDInC8WCwgn1tBOt0DtUNKnzLp3L7RrDWU iuHyq6+iBA1L92/i4890jPb3Ie7v2kbHJAVqqY0YQEuOvfGCzZnAF9Xo+BYWFjhT98rlywyqd9rE PvejUi5ztvEkge6tRjSdVidJTpqdVEtiqOaSvDJlZw2YkTQyiSgi7iz3KYDS+XP/0jksmhHmC0U8 ePYMUSOEnr4B5uJ0tu3XzlIzOxkB7tQ849KrVxF2GmjkFlG3HcAkngtQcSTeRXWIPnoAAR2eKABe dh/7JltFvehG1IVyucwg+djYWMe3T7fqflQTyGERbaJcLnX2y7tomk/RUVrZJJveQ+U7CzXqvkN4 VgS9vf04P9RAvlaBGjt1WNtZW95mpVzBJ0+nmftz5fwrSMXjHdV0py0RMEpRXKBpFXCRdgPH6Z29 OuCaCm7YLrRaFaZfUZ+3ZWlPn0EOy4+1PANwdQiUiZe/+z4FDQxOepecPYzO8+LiIiqVCkZGhnmJ ciTfs48oi5tQhCMdbaQqIyzeOrphlCEMaySxJL99u+Fj+ZnCZxWg39QQimeQii7iydRj9Fx+oyv7 +cI6rJpt4+7sPMoNC188dwapWGedVWDE2ZELRImNcRNMmql20W2PqdKfkNzHSr4ALbcKTwjmac3U Be5XJPmUFR+oYr+hQ6kCnrYGd4974kWQQ96PES/qydOnHGH193eevNhst0V9JPcBuqfSacTi8c7u AG8cXTGCKmjS3K0UjaxoC9wukuifgj4jAUdoqM49gXfxtVMc66AOiy71bC6PuVwel8bHMBiPsWri URhn83TTJ2cKzlY5vqb8Tg6L9o/KIUjRIUJty0IRLBbKCPcksNSQEVZGp2wMRWICom5AW1TgJHJ7 Oize/kuwHCTeU6lURjqT7mh2bnNstR8cSWJYlY3lPYe27koC0THQRJpUCafa+X00qVJbsLQBDMei yGQHMbhYgmc3ILiPwam17bDodl1YK/AyLdQoI79k8RKN+CPUr5CUIbmZaRAFUWcRdjz6llKW3SwY zJqqolyvS+elSlB8V96OX+5Q9hREEwnk5lR89GgGWiyJVUt+jiKwdcUPwgdCEFZhz315GaIrimIp O5hIxLmI/EhUEmgc7DMtKwX8cigWdr4+J8EyOtBnCsw3ZL3sTkZ8LGrImjYVjGUzKAxl8aRSBE4d 1sEcFonykX47tfNaW5xDlWsDyUlRP0CFSylk+yNJnpK/K4jGEkimMrLt/T5vAtoWdekJlD1JwkaW z+080hlGV6hAWoEaT0PRNHz+8ClCZ65g1Zbk0uBB5qkheHocor644xZfJoe1Viggl1vlkpmeTOZI voOx530GOXTuKUPZ2vykIzvAdV6db6q6k1H7r7QuSdC71XFLaEVitJlkBIlEFPWFaYSSvS+AWORz cFhl20a+ZiObzGAsEeKuteRUbCru5J+yFRiVdNBszdIbts3F0fRIZ3qRSGVgmnuX8WiaKpUBNFXq XjnOnmx02iLxsZK6QCGahBqOIr+4iLlyHQNRE2MhD46fTeR4TTHhqVEotQU/flx3puvqC35Lpxfc YdHxTU9PY2lpCVde6etIp5qdQW8ib+6tmMC9MTOZjvPAun0ldWK9qx7CCqk37Pw+eo3E/1RYEBqt XgQaK/Mwztin+ljtOiyWhuGSBoHBVBI96Ti0fURLpOZA9YaL8zOYfvYYcXJcPVnEEyluYrGT45KM dHJapN8AqESbYBmUnbFaVnmkKcxx4ZESae8AkisrWJt6hDeuXcDFsJSnMXwlBU8Nw41kIeyPACUH uD2b9odkcF9sRxUYycKsrRW48HhgYOBIv4ud/24XssUaVoMnwE7Z84hTKHWU1gSXiuWtnR2mAw91 yo67tLJwuWFxJhpCtVqCqh+ujvOlc1gk5TqzVkYkZCIVNvedGSQW/MDQKDuppcU5LC/MoVQqIpFM IZ3JIh5P+hjX9ttrnekpBmKSQpBpavl7MAqK1Roq5SoMT4eWySATj2D6s3/E3HAP9LrOXXmViAmD JEsUDW4iCy+eBJQ7gPvVlyojGBgd69KSXBafmTiDaPTotJjkimx/HDuK0pe5kWoeJ93SukC/KfC0 RjSG7ceW4wILdeBp1cCwaUGLhjHU34t7+SUgceqw2nJYFF0RHtUXCSNhGm1TGWgZODJ6Br3ZfizM zbBKabGwhlS6h5eKUZIc4Ro/0TYLvu4AZVeS9ExNNgSoVS2UVA3Rnl4oUx/h7uefwrj6KiJCQ1xX kWSNJQWeloWnTQJiipUDvZckG7iZKHr//gOWeMlme4/8+5q0hn04Ldniq5OTx/PRiTX9xikEcFg7 vIf2qmh5mK0pGA2bGIpbmKOVxdw83KFJxmRPTdquZ4IInEuVGmKmgdFYGEYbUiybLRSKYPzMeWT7 BjE/O8WOq7CWY6dFzisSibHE8q7F0a0id76k8mzV4fZKA6aG0VQMa6pAWY1iQFPgLc7g3sP7+Nrb X8NIXHA2pmI7MBQFmkgC7pvwMCdvn5cosgqMo5i1NQwNDiASOVqlS9mBmTCsvd9LEyRJ2hi6iXv3 7iGZTLFDpaj78BFw52SS9yvP7LqyG/RuRmN5tQGsWDqyoQj64xruVvOol9YQTq3L87zspu3mrIVZ SiQAACAASURBVJardTzLFRDSdUwmIh25zMSTOnPuEvpKRczPPsPC3DTWqC6xpw+pTA/C4ei2aXVa SgRK5MF+EHNdt8p4slLFiqFhwBQwXJMBf1vREKftra7BrZaQ0/zlp+ugPxpBSjUA5yxc5wzP+u3o Yr0IRpjfymqOVT7PnT/flWxUO92XyTmlUim8/8Ev0dfXh7ff/ioL/m3exn5lpddN7Ln83xMa2NzO eZfn1P05olIXaKmBtZutWcCDkoJYUkV/XEF/wsSz3CJw6rC2d1isre7Xe61Uari5lGfHdTkTh95B oigNiFg8gcnzr/DycG7mKaanHqFUzGN4dJJf2/oZ/n9dhsaXDQ4p9HAxVapjrmAhFLLh1RpYs22I SIJ7Iz54OoXK8CDSpoZMcMTNiO3ltJXVVcaIMpk0yxoftbFSaxua6qQW8dYX3sDE5Dje+bufsJgg STTzdQ8mND+LG1BgAtvWqflUHIdFiyWWFogxrksHEUNdY2pN63bWI/yW55tf36yX7z/nJhU07gwP JZvg9Z2t4XqYrwFzpoqh1AAmL2iozKyh6joQHRIZOOmmBYQ2x2+hzWUwxHyuNZArVnB5KIvMAbCr /RhFUskUlWAk2GlRtFUqrm3rsDY7rWDQDSZimFSjWFmjAQGUSW5Z86DDhVapwAzHkW8A5xM9GIkq GDaJqEckxkDKeL3F2MsUXd29e5fJmRfOnzsyKkOrsavaR1nO+vs92IoFParg1598gj/4/d9bl3X2 SU3bRVo7PScjZ1XxCnBcex3RagnZFaiIKnEorOSx83baVZklUuhIRGC25u4IvDf30QMKtoKEHkI8 FkZULGOtVISZOPpJ5SSYxmEq6a27smAzALP7kwnulDuZjkE/4juabhgzFOYmBnuxrGW/hqCXocd4 VMYQyIaov5tsumopQMPzEI6kEU2l4dSr6A3puBCVmaogtApwsU4tBx3XwUp5FT3RTMdkd47CKLJa XV1lkigtt7pj7cu7WJ6FXGkVZ89Nbqt8ulWXfutrLX+A7TTgBv9YzK+5a2yKoBiQXnM3ZDPbkcTe /JwynqbiIKOriGoC+cbuDov7FNQ9JDQPptvA8vw08kUP/a++tevnXhbTqEjT89UPg0tEy6y6K3Ah E2+hVB6tyZZOkj2/lymB0/IjpBETiKseFzrPNYCFBjVeFQgRWXVkHKViEct1l1uIU3uwdescjaHh NPBw+THeffgL/PFbf4SIcTzbNdENNDe/wB1rLl44353oipuJSCng/a7DyWGERRR2ycMbr7/egXIh AV0Y0BUdlteA5dW35J6J2Col98QR8LEkxYGi/Z3fJyPLArW6bwhMxuO4MNKL2VuP4Vy8BnWX7lQv i2mUdt3Odvr7Ud5IvPzf58BsjbToJghKby5GqBDaY8dVqCqYch04pTwajofFhoLx0NaZ9zBGA6xc L+PG3E388NaPEDbCTQzkOFo+v8YyMul06tDNJdq1VpZ7EOXIFmTSUWw24Sp4cOcRJibGd95mU81z dycj8SRZRqYJDSFvk5qpOLpmFcJ1EfJsLoQmEJ6Wha2jjgnSpJ+lCG79ldIc9Gg1REMeXj8/gnLF wYPVRUT6R/Cy27EheFAJjqzh29/NHrS74t9lsSGHiho8DOhAP7GL3RryxQWs5pdwkbWzt3FOhxif NOxKtRJ+9uAf8De3/xbXBq/gv/7iHyOkH88qe5oUnjx5jJWVFQwPD3UlumLj8j0SQXT4MhGWZHsW Km6ZnYcmdISUMFSup9tYcUCqo8TC34zzUFclKrjSBWEa9NPc1dlwhKcE79ifakQnIywqHRuPKMjZ 3hYsi1YMtKqJalRiRllFojkI5C2B4UwPrp5z8OmvH586rE47rHVVThncbs7ebGfehghLqjxseX39 v5Z+fesg/DrLpTWDKOA06lBdB+PZNPrcEsIuNU7dmV3frlmOhfeefID/9Olf4p9d/Tb+6at/AE05 /Ck9iOrqfozE+SjCIoG+8SNQFN3RfA6Wa3uMS1W9EkdYcmlGxe1yeR9WIlD9IUkREfHEGo0G420T 42NcwmK7NhYsHVNVBari4lLEgSuKiCkKDLH7kmmfVUGdNyrmVhWkDAUh1ZE46iYHTNhriRRI6w7C KuGyUZiKTVW7sBo11Ban4Z1mC6G1w43ZyYKUb70hZWcoSnIcm2sCSSpmx8+0rMiazUn9Atn19/mJ nJYMIf3OyhD+7+vx/EYHSXIpZ85M4M7tO/iA+TxZDA0OcXPPcIiioIO3LmesoVbEX3721/jmxd/p mLNyPRuF+hwieg90Ndwxx0UTwtTUNPdmnJiYYNpA18znJRGG5TkqhKfCRmPDuaw4JZgi1GyYW63V 8P0f/RCF4hpWi31oeA2UaVlvVfBePonZmoqkbmDUrEJVLFRI0V9Nbbu09HcCz8tcT6DmKlioE22B FHV3fz+1uadGrIaqQVNUDJkRjCZM2LUKtEgHRQ1PoGlU5EvV4e2at4nLRK3AQ+EwNE1v3iB2o76B 59KqgtBMJfsclmZ05mNTwQdk1BVwXDa11NnD0VI34XNnJxGNRHDz5k28++57GBkZYUxkbGwUqWSK v49VTdsEdWl/yGGtVnL4rXNf71hktVx9gFvL38MrPd9Bb4QInZ0Jgqnd/O3btxm3OioJmd0s4CTp qo6YiEM4AnVU4TKhRgLegXOWznUKttrAb/3BV5HKpLHmrGLVCmOmpiJnUZNSF5PhBqKqCwsKbM9m TGwn/FAOle6y3JvfDWqYCvSFNfSYHtas3Yu6PZ/5rjMvjNaLEZwbyeBGbvHUYbUS4tp1VCRDLNuD AJZtMy2BQvhCocAsZapR0zjzF5RUyNA/4KC29vrzPOk06L2BjHqrQzpQFEg1hqbJDoqWFJVqFbOz s7h3/wHLAf/eP/kWVJaxsQHhAF60LQrDTH6Wj2sg0RlJ4XJjCZ8v/SVMNYaInoEiOoMx0T7Ozs3x sowUGY6iG87u378eEZORc48iDsVRUPXK8ITLHKjgeEmlgSaYWDKKgWGpIOF4LoYNBVG1gZxdQ1R1 cDZsQVU0GIjx59XdzhfvxPOJsmjo1h0S/SZlUTkB70cMhIikczXqZxBHIpWGMr0Eb+hMW6KYL5pp 5CRs1+XQU0JPGzWgWnGogLcUdD9hWRdPcIhbo1C8UmVtcFqjV2sUXblQgiUh40rUh237QSMBWcFF rx0bVk0Zb2JHC8SiUYyPjzPL++c//wdcvnQR58+PwVMewdOeQljf8NVI99qsh1K9hJ/c/yl++/xv diS6ajhlfL70V6jbBbzW968QNag5huiYhAwpig4NDjJ+9TxMdntef07jLSJivtOqQIMG4QlOoNA4 W6VWY29eZECe8C7FEwgpEWSEiq+l6tAUFyFhMOZlKqRytjdWynNrN3yWnwAKBiDdYw639JL3j6kI 7pizlzG2ZXkoaWEMxdLQC09hV6vQI0fTIOQkGOfNiDQqgd6g3RYxoshR+Vxw5tHID8joR76n4q/i qMNyKqQzA1kROouOsU6o0Kh0DwoB6org8p7WXgDNSIoujk0OiySXO5e54huEboIWENs0DFx99VU+ sJu3bmNkpB/ReBXQPgTcPsC5xtJruxktWeYLi7g5dwv/4Q//10Pvp+NZeLL2LhYrt/DWwL9GKjTK WbVOGUWV1Fzi7OTkloxbN4yiq+34btRENKJGobsGl+2wBpnwYNsOBgcGMd43gaSaZqA+WO5FRBRh RSZXdsarWsyj7RJ9QmKj1PHpSIF3X21XTuQkyiePm1rNTVdd5Bou0xf247DgLw2JU9ijRjAcN/G4 lH+5HRbJx7gscyxQdQHZCYtms3VBDjrx1JJofeaQ3l/jOr4WvU7WeV93OA3bhUsyxx51/KWsmnR8 FJ1p/oPgM8EsZJuF/TqeavcPonXZS5gWYVh0I3/++V186YuXAXsVMP4WsHTAvryr03I8B1P5KfTF +zCcGjrU7hGzerF8C7dXvo/LPb+PbPQSVNE5aWCKeD/99FNerlOhc1eMzjXVcjYazeU+8+tIrcE0 gZYqAJZDpkJ0P4KnyWBmdpbZ+L2ZXiiuCoqjZOE6RWAy1RdEY1t4dC2Fx7waIB6eVYNQNQiOhKWI 41EeOx2DI1RYgnpferzkpZ4DVUf2HticJdzL6F5ToinW25+dywHe0HNKdz5/IxEWhH3QnRxJ4Pgp zUrDSgZRgomk9DaWxfajKlLx3O200bapu07IfxNJFJNzo6cEO5ITpAtIUrKNRp0laALQvmPmr2EJ bwv2lQZ/Ip5ALBbDRx99jLfefBOqeAsQS4DxHwH8K8B+pamzvdloQFIJTja2dxPWvaxmF/DJwv+D odhrGEt8GbrSwfbsAFMC6HoNDgwcUTecbYyksmem4X7+GTxq21arQkTjQDgC9fpbwA6EVbouFF3d vnWLo0HCH8mC6IxudFpark+lQQGz/3n/v/UESlALoTDPTyEQm1476pudEgyeDUNIsmrdloqititQ tlzOdrZjFI1N2yp6VRON+TvQhs5DNfbuWP4i2oZuXeyE/OfkoIKBsAGrbPNat7492DYZzamGKh1W g/g5NoX8MpzuhAWlzTyot8kQ0VCmqCPb1+cLy6UA61uAsADjzwH33wDuZEf2Zeu+BUtUD3Olz9Bw Kjif/iZMrbPLNXKszGGaGMfkmTNH0w1nG7OgYtpN4L4zwnI+MCi8FgibEVx2Q9hNKpCWb4+fPMGF C+ebfwsi453wzx0tGE8e9RmgB7pmFYfa9CoI6RpWbQ9LDYd7YyYMBV5DOq39qnCTf1uzBLxSA5XF aUSoM/TL6rB2emEzg+Agtp/MnimACjWzoEL+DjoriuZI3N/xD5JLjXy2c9D3jm7or3z5y+s3stcD NH4fML4HGD8Gav9212XhQThSBCDX3ApMJcTLlYe5n2Ik8SbCeqrjZFECru/eu4fRkdGuYld1qPhc 7cf/rSbgNtZ8ErGCfjWJP1Ui6G3hYG03ZmhfCR4olkrMFwvIxAeFC6iIn/h91IugU2NsL7OFioqj oFD3GBYhmaO5ugPb9ZjJvluvwu1NcM/Ct7/yVfy6sPzSSicfaWmOdFh734RruWW4jg29Q8WdNHMF 6hP0oN8pHG8ID1Ef15mZmcWjh4/wta9+pXWPZaRFwLvx/27pqLO+fRe5Sh7hNktwuO7QKaLu1aAr JirWEnK1J7iS/WcdXwqSPXn8hJ1gb69U6+yWUeQ8FLbRhxyWVp/C0UhLP4SBSBJDkd1V7FiOu68f P/npT3lC+epXv8Ldc6ipCUXDlDShQnlyZIwV0VLPbzm3U3dwWfmwc+fwo7CYBqiaQNEmCgzNxh56 TcKKiapAKYb2wj0ik64qBi5ms8hOLyPPiayXj95ApXdHaMHGdxsoHsqr88yIN6OxjlD7KLNC26GE AP1UhQeHa9gED/LFpWV89vkNXiZsvZHpQxFqXggoecDdSrIkGsPZ3kn86M7f7bvegyIrYnM3vLos doWChfJt6GoECWMISocIooFZlo2GZWF8fAL9/d2SkJFmKB7OpwV+/9U+/CiSZH2nsRjwe5NEnNyl 3xXBBrqO3/z62xwdzs/N4/HjJyzf/N4HH3Kk8vUvfwnTU1P43d/9Btbya3j27BmSqRS3BRsdHWHc S2zLA+suTq25NuKwEVUEbEVBTsjEAS3vHpepi5PgaGu/tx/fF4qCuKFArC3CTo9Dj8Twspl2lF6a C073GCXkQOq1GiLpLNRYhjOVhp9BPBx21WqSiEFHSqlzKvugpqHXrr66BddhCoetQ9FDEFiivict LjQQ/BNImDHkyiuwGxVo5t5gNhX7csNZjxxplFs6Pcr/HOdSvw1D7ezAoyXvw4cPUCmX+SbuahmO bwndwzfGFFztj2KtoaAv5KDXJJ2p3W9RPreJBD8mxsebEXPkzd/BvflVXOkFetJpPLj/gPl0iwsL iMZinFX8zne+jZHh4Q2RR1Mh4jkl1SjxRBNmmPBakFKDy5LJNL6XGzQuvH1PAlHNwdRyCSuP76Pe e/HldFhH2tYqqAPcA2SlR8JQkTJU5nZRJxyKjlqzkGI/uJUrsSv6nQZEoMNEpvr0ijKpSvb0MU7y N9//Ab77R/8l+n3gnTJUBFLPLz7D0EQd6dgjoDHCXdah2BBKBULU0HCiuDX3Ma4PXZWddvYRZbEW k9B5aUIKBfnqIxQbcxiI/QlURfcdGsVdh59A1tbW8NHHv8bY2Bgf2/MyKp8ZDjkYCkl290Gt6ACf FAXcaA9CSRfXerbiN//j//Q/87JxO0G9dpdfHTWhYNHScLdCirgWchYQ0QTimkDZcRjL2s/exTUP VxIudCUB98ol3LDKeBlNOwrp41bba+u1aoW75VC5CA3qiC/WX6aVgyPBcvYXFHVt48BEi1IjiTlS dEbvlxQMya6WSJqHEAuSCMQTEWivXcPqygr+4i/+Et/97h8xNrK8sor3/vF93L//MUbPTONf/Ivb MLwkhLIEaO/DFXPwPBVeSMPYYA7Dxp9w8ybXtbmkSHq2nc6D3AsqVZou/BIfz/1f6I9eQcIcQt1r oOKWEFVjCAlq9nG4a/L06TOOqoaGBrtehtNq5MzZWRyixIgQr3tVgVUb/z977xkj2ZVmiZ1nw5uM SG8rs7xjkSwW2SSb3Wzfu9MzPb2zo4UgLaDVQAtBkARIgAQI+qcf2oUA/REG0u5i58cstAtJwGpH PdPTdrqHZLMNvStvstJVpQ+X4Z4Vznffi8yqyvJVze7i3p6cLEZGvHjm3u9+5nznYMSmt7L7+9qt 9q7gVNXG8ukZLM7LtKXhcE6XiimFJsjVZuqqt/JqM5Q8190G+yffrth4vtCPo0ePYf7MAiq+B934 rWGI+t33sO4lydlsssveFP1CRIaJ7jN/GO/TY+KkJf/RlqsWPict3Wy+lwYqZk3lsqCBE7xOBFCN z0GLjZ7suBpK5TJeffVVvPHzN/DP/vm/QKPekKTu177yFXzjq1/C7Px7+NVb/wzjUz9G4BewNF/C uU/6ECKBP/z2S/jyvnl03X8HTbPgO6fIyAQzkRWxAFb/mB+LSbv4WizT/tHq/43Z6s9xtP/bmC5+ QcLBhl9T4EpyiWsPrzVIGhmyiY6NPhyo9WEGjXjgduXZGVZS9Z2qJqn7Phafa0oDplNK42+3cez4 sV0xfPdY93lsQ0eAhO8gQxpyzlXbQj5pwQm6SOhtVB0TDW8HkPY25pVrYbkLvFPXcNwPUF+4CLd/ GonM7voHT+owH7cO3d0mS5eYEtJo7IIrUYZp5wvquF5kyIgcrofMB4QwNU1aNnYzVjtHrLbDjbdc LuELr7yCvXv3ClEc+c0nxsdh2xZmzBdx+ccV/M0P/ha21YdXXvkyvvV3Z/DBBx/iRz9cx56pafzq 3b/Af/Xf/hny2Q8RdL8OTTsmxjDwuvC9biTtwQIRy+kGdDuFidwpHCx/ExlrQLWLKBZxhRl6BM3O y8sraDQaGBkdecjcVRRbq5t235/mXW65HVzauIh0xkVfqoykmUPa6pcCA6/9Xq6X/tGJbIiJRCib 0e3OJJPhZnHrX3taI5/SUN0ckXaArqNoGdBNDXXHRCfIopwIsNQhR5bqMSTvOyuCrV3ApUEIbDgh LnoGyjkbs/XqZ89gPS4wYUy3d6cdVTi0Ol2p1Fn3gHDnMYngYejH50nIQlFXYQKhBjuBrnfz7vh3 yzQwONAvIp1xaMwwJvBd5DMpfOfbf4Q/+NYfKmNiGFIc4MKgsCc9mb7cd3Dx42EcOnYVqeyfItCO YGvzC0jZOYR6C2bmb6E15qFf2AcLV+BP/0MM5o8D+va1KnOlMF3MYD1MOEi4xhtvvCEtOP3lh2vD ie+DGFrj/rsP+Cjmq4v4F7/6P3B8ykd/zoAXduVe9iUnMZp9BofLvydVUrnmqEd1N5PE5ztg3wOi /zbK3Ter4zzuEfffqrY2oOIBs20NvqZhfz5ABqoNLoh6DGMAaTcgp9zu1pX3wNKVMVvWs5g8fBKb ayRC/GwNU2g/HseI+7l2tMTc+pYA7fYWMtm8oM5vN/hA+RyZ2+KxmJBnPitmLGHlL2aQuB+sTfze wA+g8YDS+sF8FJuwlRwBSQh752tb6B8YwJ//+Z/j4MGD+NKrX8a58+fx//xfK/jaN17GqZc2YSb/ d/h2AvVaHf7GMK58chTXT88iVf01vvTyBaRe/J8QuAdgmFlZvPQI/dATPbyHrbuzUtZXKknPGduO HmzwHvhoOxV03RpsLY2ElZewblsbb7fz3Gb5YCXUcTuoNDeRs4fwrel/hEIqATdooe3XsNm5ivnK L/Dx2r9FX3IKpeQM+jMHUE7uQTm174HO+ty5c/jqV750x+t6VBYrBiYT30eDQY+fhin+hlgqL15a VU/NX+bg8oYvVEbL7QBvbdJjunMoGA82TA8ndfG8mp6NMFWAtTWPNnFov0GM3ac9HmPGrtd1fNuF yAnudLvIF8w7gkaZv+KkYP6CLnZ8tDj8U5PkwbvwexOFx5Ym2d0ngG1ZePrEcUz8j/8DHMcVbimW 3rmzz8/V8dGHJi5c7OLll54WoOT3/uoNHD82ile/9Ec4f+4I/te/+Tf4b17635BOvgj4fx8IS+Jd qfyb8VDLifCQ+fkFDA8PYWjowfm5As/FVvs6Pt74C5yrfh+mlkTWHpSm7FJqGsXkOIrJIWSsMjSB 4W7zmcmdJNsHMW+eI0aLZj9pJJE2+6AbQ+i3kxjzT2J/31dQ91dQdRax0b6M8+vfx0juqQc2WCdO PLV7H2q0qT2KqNCLNk0m0pVohJqP6chA3W7sTWuYSClAR9MLsNHxUXd1lBMWChZDXR9JI8Ri28BK d/cWok7AvxMWwiojUK23Ub02B2PiGOzPEAvpYzNY0lx/F91M0ijvVFLZbXCCcPdiC0/ci6hc7jvn qu6b/qTHm3Xn3Yp5CLJ2rq6uodVqC5HfkaPH8MMf/hAnTz6H73znO/L3tc0qpiaeEYpmIs3379uP v/j/fMyeK2F0ahGdxiJs04OfaBMtCdMi5OE2XGG+i5DhmWFCZzi5y/WS//yjjz/BiRPHH7zJWTzM AJ7fkbu8N/8qZnKvYMtfw4Y7K7ixAHXs6QdOUJEWOcCfRuiNAa0BaE4ZoZFDaJfgeF1UO3VYholC sqAgG2YCGgGUeoiEkcOQXcJw7qnI4JFe6ME9hb6+EuyEvXve8iG9K84/Vq15FBqpvHW7tvjdhzCT SDGIx/KQ1tsYtC0BIJuaj7QRYNMB+m0aLhNXpUR+4+Bcd6O10vGZ67Iw2V/EQrMB/HuD9fBDqI3u IkJhGhbS6QyazYb8ZNjRf3MYGBmrWOT1UXlVNyfhuVDvBUTL72Y7CFHknU4bFy5eFIP09a9/HZ7r Ym11TaAEFMAol8uCqmeFsL+/hEK+iF//agOvmF9GEGhoe/M42/5zTAwfxonBP0agZbCbpquqOnKy 3j7rTAqZTCYthYNb8pLGJ4BxGgizQDCm2o/CPoQ+Ef2RtHovdA/Q8irCLT+YOihejwoHSUPMv7UR 6teg+W8g0C6i20kgdN9GprEBc34d6PfgzgzD0AdgptfQCbpoh5eR04cATbUf6boJjYjtGHASBuLZ GdaDG6z1jXX4nsIHSIsORS+oxBQVfx6EXyyI5h89Kib875T0j0c852M4BT1fCePE4HnQDBc+0lj3 Eqg6gTREL7QNBIGLPWkP71alrnoXvGEI305iaGwM8xtrwMCnVw1+ckJCmSh3fryMvcen9uLiuY+x sbYsxosPut1uYen6knSkDw+OIGGRgCaiGXlEXtWN53rv8oT8WmK2hgnI1DSceOq4GCiVSwvkJ5lM yN8Y5o6mUwJopGfG9/6Tf/pPsX/vXmns/d73/xp/549exMbWu/hF909xZOAPlFafBoxkjiHBPFfP 87Mi70/bla+dBvTY0SNCI3Pr9VE1OY1QPw0YPwM0B5ruAEES8EcAf0o4lrpeHxw3h6a3ji6NpD4g op62FghWjl6SZRjQwyw8N4mmdwhrS19F4HSQsNoI8j/GyNACaivPod6+Bt03oZsX0DL/OTJZHZ3A wLnrZXjehIR+WWsAGaOEJOmSacQegvqXfaHOFxVwVPQBogS8eOLULRD6EZU3VQZdtWn1ykNslo9y URxxToqwGRoV4W27w/czWGsHUZO29K9S4Ye8FY7kJ7OGJTXhDjwQOjWR1JAXT8vBUjeNi1sWrndM aWO62wiF3ymJ0bEJDDSuovEZ6it8LAYr5om/Fzc8X+hDvlhCZXMDuUIJbreDK5fOod1qimXqVDcw NXNQpOxjBolHaazul9Oeg+9NpRRkIAxV7s3zA1SqlYi/PkCprw+uqwjsaMDa7Q5Gx0bxj/+zf4y5 +XmpjO7fdwBho4CXnv6v8XHt3+AXS38qvO4H+76JcnI/LD0ThWk+NIMh4+5jfX0De6b2iMDGrk3O wTjgjAD4OsKwhdCvIgxr0NgraaxCMxbQxt/icn0DF1c0bLaqyCcOYSqfQcpZBZoVaHYOnmYidGtI aBeg5eahYT9MzRCVcNcLYKUT6KKErdpzcLouSl4NL5aW0bw2jPpiHS3zCk7XfoqE28Ji6iNolg/P a0mYxH7KQmocA6n9Qg89kpuEqZFvTEfT2RA2i539lvS+hVQyoi06fPgQTPPG6ayqb+RE14W+iJ0O 0gkhHnuIhGD5mHPT4YqxCXoQGYHTiGT93YcTaNJ2Q6OR1EJY9Bi1AJvuAq7Uf4VicgwzhVdUj2vg otZpYsPtwNQ8GKGLkYQND1nJUfXZVMy5S+1PY7Vcw1w7hLNxHd7gQVipR988/5kxWD6rbhHSXPay OxgD7nYTkzM48/G7OP3h27J79A8M4fjTz6PV2sLspXM4f/p97D1wFHmq3DyOEcuGPchHOeEj92xr q4lmsyUSYsL7vrUlYWGn3RFhhaGhATx78hk8/fRT0pz84ccf45NPTuOXb3yMpz7/Hewdypu/kgAA IABJREFUcGCHVJbJwjSTAnig1xGQaNfrQg88GBbzQNu7KUGir7/+Og7s34dE4nb8Xbw2Yp/4uC0E gY2QTd1+iLDrwQ2auFT7ERrumuRWEljGVP5rKJkFZCuvIbH2A8DKAZqHUONG4iNIFID+QwgLCWyY 1xDo8+jvs5Cwy7AG+uEFOnKtHIJagK6RRjJZQMrUYNc+xNH8P8Ce8RkEYQut7gZW2mfwUeX/RcYu 48LGj5Cw6yj3DUL3/zvUOx38bP6f4NXJ/14qipwgBIE0PQUu5mDI1onCrph4UjzeyH+i4SKJpHQ7 6MS7URNRtfyQTVdjHiliz+1BLCL1JrVJbod3OxlN48F+QGEHIfe8nJMCNTedJXTcNdjpfTsVNcUw sqeQMAcWW1zfkPBwvbs7/urmEfDcvRCmpyOTsLDVbQL/3mA92JDePU1DPdCE4ZHyRsw/3cmBMZIZ FIYm0F28gpHhUYxPzsCyEkikMrDsJK5eOodzp9/HzL7DKA8MPWKaEFXNfFh9Rn5ycmJcwg/+jx5X 2wuRTyXEQyL0wrRMYaXQTFOM+uXLV/D9738fx48fw8j0EKb2jqOUKqMZbAm1ruToeHCTIbEZHYfG dftcL1++LB4cGRnIrEyuLfYtCkxitxEBKblUFFunWmwdnxgpBykzATcso2CPIykJuzb8vpNwR/8Y mrmI0P4AMHzh7/fdJLRuEzXvHGr+rzE92odOsIrTlQQq7fMYSR/Djy7PYbG6iCDsoJCp4FTJRl93 HYnRfQh1G1ZiEG7YQtYaxInB/wBJzUGgf4KE9RN025cwX3Gx2WzA1BJSfGCuy2mvIm2nYJsqLGe0 d+ncWbz80os96m3amO2Kchz+kdBvWxqeBmrn8+vdoB3ydep2bXs8kp8SUsBtA5YwdSRkc2a3wvYx vdARrvqbKa9ZFUwbPpo+n4GGsqVhOhnicpPqOtH2EnVsM9F++xmnoe06aC4vwC7eiRbxyRnmowqp VJOpSoLTXSWVKbnaSe/K3Yw0zLv1gXF3dKFhbHwSE6NjMIl/ilRouGAJ0jxw5CnMz17EpfOfoNNp YWRs6pHxO/WwQ/dorGKQ380OGT/P3JZ6T4hmpYpuqMMyU71QRlDtEaqQNCrFQl7YBYaHR3Duw4uY uzyP6T17MH1gCmZKKVQLoNRQXlxITnTakEDt4PTaarU6Duzfj8GhYfiaAqEyRFLzPQLD3iBMK4oj 0X+oX37QhRuuI5F5FweHMvACHwmtCbuehREuIwin4LltwO5ATxI4lIdnrKPrlgVb1fVrSFkmNHMF tp/G/vIAfOs8zO4e/JcvfR21dgXdYB1e499i+rV3UTA+hHfkGIzML2GEGfQZQ/h8aROFzP8CAymE YQeauQQt/a/x3icdfLLQxO/PuLBtB7pfR3bxz2B15uHN/Ofw+56XXkV6yMw3icbALslxMmXEFMvM rd7X1rTz/jFPGf2bBJG8G4kovNTuhJfZOVckjCVlsomaa6NIonIhnGQXh6IVz5qK0aFyG0YHn6Br zcToQD+c9vY5PenDFO3AB2VylF0mVmJWiUwaJ3pUkhiHBs8PBdXLn1TEC9/7vNDpqhyEbZnCQRWn vpQrrt6cSqUxve8Qri/OYWHuirTR7JnZ/1CEf+KYC9MCk//3kOiUBlTglzVN8GAvFVSrSHwfds5J EQy1TJF2UmrU6vU43JBQ2TDwla98BZ9/+WUxXj/+yU/w/e//AHump/GfDP3HymDtOGhczVTCr+o7 mQtbXl7G0yeOIZm0EdY2YHz8Pqz1CqWTARqRRALh3kPw9x1UAhDcVqIErfCty8JrIAzSSHm/h2T7 JAKthtCgKMcFILsCc20F5pXTCEpNydEH2iCMvIGEdR1bbRcdv4Jymv2SLRjoQzapQ0/a8LVBpL0s ChaFJyzoQ1Mwc5Pw8PuA1YVmXoDfeQ5bHQ8XNnJ4fuw/RFIfhO8vwsj8OySC/xTfOtLClw/9K+Qo aR+4CLUEmiP/EfzqW+i/+i+hhS68vs/h0MFDcs+jW3TLUBKaalN9UMl6fk7YRCLUAedzxlD0Mbsd ruvXJQ+WMgu9WRR3CjE75oQsRJgIQl1Q7jRCHKyKjyaAgYSODVfDJ3X3lqJQQEfQSmJkfBr12QWs ui506xHrIfwWDpPL4EGUj2mo2A4jOoI7nn5vd4+GAOw0Gi2tB/7svSd+elGvVaxJHyfXb/BeEkkJ Fe1kCgtXL0kP4t79R5B6UMmjqOLYMwR3GexbfKuu4eMtFYIULeCZbNyAFLeVbI98NosUPaFdji5t QGzyTiWRTCUFaX/hwkXJlRQLBckKC/re2B0WQm+CObA333wTw4P9KJX7ZQJXwjQWzWk07UEl4KZ2 Eozogxinfh8XbGSkpCGbeRQEqDpLcMJNpExaozKCYBKuoyG0s9BHDIS5Z6F1c9BS70Ezz8Jz9sHr ZmHpFXjWO+gEHcFaQVtQuTK9Di0sQcOoqspJGKVBT2gIR4YQdgrQrTPQzAq0cEawXZVWAr53AJrJ Nik+myRCfwClVBd9to2gxnNXd9pIDqE1+C04+Wkk5/8VtPYyuq3NWzzJm6uOnONxV8QDBf+aQrhz DscsIncSTXf8LTFRxJxx0A9iFdgNdDjM8Rke+izFopnWA+RMHZkQ0k/IQkbFDbFOIOJtokJX07HU 1bB48QyMwQOfDYMVV1A07hLR4mBPWjwEha3rvRBsp1d1s7HiuMUV13WYoY+0yB3xQWznF7hb9STo exiWO5ysZWFoeEz4vhkinv3kfczsPyzJePb2dTttUd8hHiqRTKKvNHBnQ3wfs1aPwg2pMgWqcx5R 9wvvh0Vk4I5Rp/YCPa07LA+pUEUH/9bv/x7OnDkrhvkv//J78gz++O//kSDXOehVXrp0BQOD/VKJ ZCjI+z85MYZMkp5miE2tgL/WC7hI7i6ngZCofSuNr2gmvhGEKJNBQe43W48sYclodiq43vkEvnEB pVIDRupt6KEN3R+AptcArYswcBDaCakUBvo+dLq/B63tQk/+AtXuElZrBTw1ygfrClurZtBjmwR8 es0xf7sDzdhA0H2WQpXyHk3rg2FOw05cELEG8bCledyDzuS604FukRVWh0bGB0NVwggwtUMDndQL ajOb+zOM6wvIF3Nw9X1YbujI6uPIpkaFa+zmZx73nQpe696nQMQUy9RGeIOgyu1Gj4crDs2j1+q+ KT9DdhcphdER+uQXiuTIAq51IYh3zjGmVG6XxfKZfG876GyuIeE4sNJ44of40MwbkXda5UuoBB0K I6cyRiFq1QqSOySXZMLfR1VNJY9jiXqt1/DJEjLdX5aRd4qq3mnQcJbKA4J9mr96Ce+9/aZMPC5e hln8Nxc7MV320ZRcx07AJz0THkMMbxioUPQeccs7LzlG4As+Z5cTZ7hwtwqpuhvK8B/cfwB7Jqfk OaysrOC73/0u2p1tjqefv/kLvPHzN6U9iOj6Z555Rrwnosc3q3VohoFsqh/pVAodtsZ02gjsNPIZ G6U0d22KkdJQMDdGoKKYBjSdVVFPHrS/jbR7AoHfRqg1EGINZnsDFq7DLf4tkCbocQ0IMrBhCxDT C1dwfTODhQ0fpt4FQhYGsoC+hdA5LOh8Nejt0cIHCAOGRy6gLyNwWaQI0Jc28bnpNFKk15GbEvmr 4gUz/tKgmzYQRP2m3Cx9NhPb8EvPo2tlkV36lwiNJfn5aP0i7HAvTo78I+QSoz1PS6WpVW51ZWtd BElK6aKg8fkXMmzIe+Qe6aLGHYSuwEto+ERTE37URHXn5+qHxIQxAlHHiocKHlUYySfbDnRkghAF 3cdkQseHTV2M1J6UhnUXd6wa+jyfXBEvvPQSfrm6gFTxVjrvJ9JgiUQ8F7G0ZShSf2JalpaWBNuj wj/lgd2O6P9OQ5RwfdW5TFfa0ng8NSnJBHq/+QQeL5cvYu+BIxgZm5TwicBG5oL4u7KxhtWV6+i0 mz2DFedukum0GDuioAWx3m3fUwKfO+pkUpXFaazmOhrOtoCj9OFvGqo3kNd17x1szL/wnjOPUXId 6QfsdLqClGee6tz5C3jqqePoKxYxMjIsRvm7f/mhENc5roNatYpTL7yIkzOn0OrP4VzYD9s08NJo gGMFFxapbiQc0hSfHvnFPR+tbkUWX9oYh++MSoiojP4m9I0qQpTR1b8JPTEHK/U+gjBBJUuY1mW0 nEWsb+XRcdpIUJCDf/P2IwxLCN2RbQSA5kPTmxE/UJaZTRU2BkdUq46hoUB62W4oVDyEbsT2gOIk uoR3N+4M9HbpxSZNG37+GNbdF9GqnUAhM4QDxQ9wqfIaWl4VaXNwB34rLrAAZ6+fxvvXPsDfe+rb mCoQ/R9KFVI3LTFofO9G+xIWG+9gqvAyBtOHBGHuOm0YbIgXOiTtjuEgFb0ZDsZVQqZE6p6Ba10T 1zpJXEEaBdPCCwUdwzaQNYBxNjgHTLYHWO0yhLz9nAllolkYHBhAdnYDn6kqoewZUbm22+1IiEXK jriR9mE1A4WAPwol47Ky7Hbagx+PwquJRBQmqBfl9W67LYuf17HbIF8U35dOpxAQ3nzTICix6moY pJ5eNNFWHeavtgUuiPf5dU1DnxliOIoPWKkhPkjCxwiWcH/XBIGC0MgePXYMr7/xc6ytreLpp5/G F1/5PMbGxiTvxd25WtnE6MgwLl2elWqh4zj46U9+jPLwaQxPHcSRmUMYGixiT0ZH2WT+R+UqtdBH 4OkII1EEhulZewSWOYQ35t9Hq9vAC1MvwQxMWJ6GhpPC3IIp63N0Mo9Oexyt+jEMDI6i7X4fGxUd BjowjTUE2jrCxF/ANIoI/QnAG4PfoadVUIIewgSRhqZvAfo6gm4//ZpeSxAJ/ySE5FyzoxAzDqS4 4YWqRUkYNUwbAYVCxHszsb7Zhu9lJXc2VXgFw9lnImNhqxg+miWqQKJhJFvGD2srWKlcw1CiqCTA 5HtUjyvzFou1d+CKwpGaYxvNFbx5+U3sL0/jqfGnetXsOwOSVQsSN8eu56PqWVjvJqQ6yM2DfYQ0 bA7V1X0N3Y4Dp8MNXoMNHexWijUsw/gqpG1NFbi2vABXNxuoLi9i8PApPOnjljvORUZKla16DX3F AhqNmuz+D4t9UmKl2xCCRwGlul2vopVISL6r3dzqvcZv5sJ2O135LW45k9qRQaIBojkmGHG+A5xv avg7ZWVgCTw+0wQuNFXhgIM735oDvF/X8KWiKho4ASuHTMrfv7GKh5TnLROHD9HgDAjPPA0YQz3L ZnuMJgu22FfEN7/xdbz19ruiLHPgwAFcvnIZv/rVrzB6bREHatfQf3Q/nKERvHH+khAPFgoFDA8N 4OC+aeyZmhRZjqHkIfTbe2HqaYznQ9Q6NVQ6NSxXr6JTqWE0MwFDwBIVNNsNdJpleI6BaivER9fr WFrXUMoBbbeB5moB1+aOSJ4tnVlFsfQe9LAGv/UNcvMg9NjzxhajqoBQAy8Dnb8DD1rUTxgGXWha mgEnoDUR+qMIOs8AHsPNjmDR5NlHLK58Dtz8Ll26jC9/6VX5m6kn5WfHTJE+w2srK3AdF319lHLT sd7cwJsX30bR7MdApiT9k/S26bFzc17fWkBaG4HT0uGZHracDuZry6L4fTffmcl1JVii2qla7Ta2 6lUErQ6SdRejZkoan3O1LtZrQJ087319SDgm+lsezHYXqXZb2tMMi5z/QOh5SldTN7ERmNjIjQAM lTNFXL9yEf2vKA/xSR67bhHMk1imKYBEGgSGhA/PJRQBIW+T83mUg0l5Uo20thq91yQ/Rw/RIM6F jAdqpzItWwzPmzUdST3EVFIRrs11gHcaGvalQnHVSSAnGoehqhCuOsqTKpqBUgYSsKImntV9KxTv 1vqTTER9gdvJPVXYpFdkwDBtDA0M4tVXv4iTJ58VlZmTJ5/BcydPigf59jvvYHNlGePjEwg8HzMz e5FKpXD69GlZlFSDppFIGhlZ8cxvTRZHcHqljr/4+Ls4s3IWG1vL6EsUMZE/jcFiC6PtNgraLLqd Kraur+HtRZX3zJhreP1qBU43gU7tE6SaB5BJpDE27KGU6CAXushqh6B5ERJfY8uSBQRpBIQr6Eyu R2XiCHqg3seewBSC1tdAVKzseVH/n+Mxp2b18oqZdHrXzavjdvDu4ns4OHBA2qOcroNKo4qfzb+O uc1FLFSvY721iS9NfUFEQpYbyxjLjiFrZFHxqvCNAtbDTWTsEvKpMp6fPIWJAsPMO0cbXb8heays MSR5LN/vSEEooXvotwhTcJBPm0hYhnh3nu/CMAMUTHpcIbZcAx5h84YJX2MxgnAS1VbESCWMWEWk eShbxFOHD0bgWHz2DNatnouS+n7Q5tSYCka1PDxmaxUl5g3dgMcdOz7vCCtGD6bH8x5V6ZhXo7G6 3NYw21GeFknX3qtr0rLB3NXllsKSTSRpvEJsOBoGzED+5oUamNkROtxHSIh4iwSZRAYqzAgkmQsx VNlsTikmZ3NCs0LVnHanK2E9kfClUh8+/3kKxmpizEqlfmgMZxhaEXlPymI26homDg7sQz6ZRyFV wOmVt3Byj4mkUUWtlcR8ZR0btQ/QdQysNTcwX11AKmEgkUqh1U2hmBqG41m41pjD+loS3uIFtDrz 6HTfF1k0HvuLe09i73BDDJYk6AXCcKeFRo8yC53N1xZbinxZsC2YyEjHjCo7z+zd2+slVPONuVgD lXYVPzj7E/SlShgbHgU8F7VWDaVaHgPZMl6efh5tp4PvXflrVNt17C/uw0RxEqMjo1iuFqTzYLg4 BN1OIqvreGb8OAT9dxP2bjcPi+cR00GnMkn0JfJIB12kXF/wiczDcXMjDlBDWt0LcmPlTKSMAqq5 BGpdF3boYUNLSZJdBYfKUNGPoBFz/QCpwEFbvLone5j3unCYjL97bWT3EfWgPnIp9tsNLmjLJjeS LhTMybjPqpc32wHIFAkl4Lm88qTWPUgCdMOFLIjxpGrMYJqKBmkiyX4vYF86xKgVIGcoXNaDFA/u +7rUxcm/Wc3lkEXRAwMRr2ajv1zCl1/9ojA47N+/T4oMw0PDAo0gV9av335bqHFOPfs00japY6jl o0KJtGGjT7OQS5expzyFLx84glLaRKW9iPkGGRhKSBhJvHl2ACktQCYbIK0N4fTCLOrtGjabTaTM HGbKY7ASATqdJF7d9xKcYINIMFGLgXFdcWjJ9GOeqgWEOsLgxgZe5qk0LcLZyWZjwjOT2HRClE1D PN7AdQSiwSp277mKK6qCNtftoN6qot2uw8gMwTB1lLJ5vDz9HN5aegeD6X6UUyUUvAwumWfw8pEs jo/byCYySHZs6Qs1U2m4uiFIepshGPnJotBUPZJbe88YXspzihL+fEYGEfmBgYRhwXJCdOt1tBot lbOTLgZ1zjRCOT0Np2vA7HjwUgW4STaf3zrBpPrNW0r23kYd6cSTjW2459Yc8UYegMZim2jv8S/o nefKsJDn2m43lcGKJvFulM00RP0WcDIfSgWQOx+NkrBJ6qpJ9lQ+lLBwJh0BTjkJCfKTEPM3d227 XetuHmahkJd7n89RTZt5SVOM+KlTJ8WofXL6DK4RJX/yOQxPTCFp22J4pSHXTKA/k4eOvSjZLyNn NJDMr6CYOQoj2IOV1mlaE5yaSeGrx6dga6fgaG+htpVDdasPG40AC9UVnF5M4+rmHDbbP4VtOjg6 9BwWtlZhNtYwkKWXp6PhXIOhnUGfKG7fRJMtc8eFnvohQvclIBzCemDDJY9/6CJwWUAg9isQqmqG xDcPn/2HMgENtEJHzufdhfdxcfUibCspKX8bSYxmssgNe9gz/gHM1Bi2/L3C7tANVVmAmxc3rVZA YIPFBiKYsWcYtVDtHG1yisGHbeZFc9ILPdW7CR0JPYVkwkRLWLI1CVN7HrV0MgRI2AaqPlWjTbgm /ffdB9dVwjLRNExUFq8i3b8LvdBn0WDF0AR6rfe6OGNj9aiS7Pc6+H3MYfGcu9127zWxWXGW9qbB l+hhkftIi3BUCmSoclX0wk7kQtll40+z9YaOzm8izH2QoToEtvFz5LMql/vx/PPPC7Xz6TNn8eH7 70tub3RiCsuNhngsmUwKJ8eelsbdTKIMaFWYeoCsNgEtNNDsbqHtZfH0nhKm+1MInSS0pA4/Nwhf 20C78TKWaxoSRhoJ4yxenjmI0+tvwnHb+OHZn8M9ew1B2EVf4hoy6RVMDszjufFX0E8vhnkpnRUQ pd1GbJRuvgG4BxBiSIyGgSo2W8somsMq7cXQb3NzO4cjuS4FcC5nBvG1/a9Kxe3Pf/1/YnlrBWP5 YXxx+kVM9o2jnB2CHSZR6xah5T9AKV1B4FpYqv0Stc5VZKwSHPc6sqaJUEsJHMeTumgoG5a0le0S OfiBAzd00Am7qJDOhw6ZwIYC+L4D2ySUxRLvlwBehoWGujj4ro8OMnCMPBydnFqBbKKhepLyuxOq +UyoRcdK45lTL2Dh3BKe9HHvHlYUjdxrLuvTMlbxYDKdRqvTVgaLQ1GG3HnEpxqtl16Oi7S0JUkM qyH9gMyL/ZYaq5tH/By44eTYNpRKCdiU1DTvvv22hM4ffPAB1lZXMTMzLcb+8KGDGMqlAG0Rmt4G 3BFAq2HLcdBxdQxkJ+ETPFq/imalhZkSPYMmrEQR7STzxTaeGj2CE2MTyGZWcKL0h2g5HTScBhpu EyuNDZxfq+CXs5t44+xH0PE/YyBTxkRhCDPDIxhItjGaZ26wJe4sz71o+FhsnMalyk/w0tB/EWGc NOzdt1cqcjQIHyx8gKbTxHMTz8E2bLw09bxsSK9Of05C93KmhHwih4RJ/i5SFevQEgUsdk0Ugzba 3g+w0rTh+BVcb7yFvF2CqROVnxQxCDKQ0GulajMDv92gxzQrfqhhiwlyN4Tf8eFt1uC0O7AMC02m LAyg1WnJRmJbCfjslTR88ZA7rg+j20auS2psQntrsIiP67bR1S1s9k2BnZuiJMUWMObMWttFpid1 3Bdbg+rFUqyad8JkKRT5p2esOKjCwx2suaNS2GMtvcfBa2CrhBIcULkr4WCKw9zHpTj0GIcCYNIz MIQp4pXPv4Kz587hp3/zN7h48aIk5SuVCkZGRlAqJbH/0Apg/wSafh2hSfFYoNHtwEoso69gwNdy mN1I4fSyhrHPmbA1G47Wh8D2MTV0DGPZHKb6SuhPjqE/NSlPwWdrjGmh7bbxTPUQvnf5Og4XvwxL 65eK3dXNeXz3zLsYyFyDZSYw0n8JE9mfYjxXhaYFmK38DAMFHbqVhGGoHFypVJaWr8BzJGfV9QiB cIXSJ59Iy0Z7ZOiAVPcMitqKuAn55U2Y8GDSiwk+h/cv2yjkLqDlt5A0xjDd93X0pU7C8ZPIGj6S zPdFj51ejzQh73KfGRKS3LBkD0krEouiei4LJFQ1k/+jB2YlTDGq2VROCB+7YQfJVBoZpNFueKjB hkvkfauOhFTsPYQmIRvbc48Yr42NDawtXEX/C3iix30ZLMnbRNJUtzNaPWP1EKDQRzFi1DtxZA8y VCVGDYaBS13gg4Ym6sMHU6rC87tnrm5M3jOXtWeK3k9auLxe/NwLwl66EYVXrksQ7iQs/9vQ2ftn dIRJoeuehmZeQsLKwXVexmarhXqH9DoswdvQzALK2RCnEswpqXCnP1uCaahCiPhEhoGknUKgbWBm oIBTwyeRT06i2a5hubGKdxY/wKnxZzGQKWLFu4KFzTmcv16JIAMV/IOhP+iJsXKebTVYeQzlmZ8Y PSKGKJPMSsU39CJxEc2USi9zT6zs6lZCaHE834QR9qFsP4OPqjV8uFDFlnsFrx7uYihfQDosiLFg JXlnNkE870BBXeIIhN/HJHjH60QKNykEegAzYSKTyMOMuksl3A09yW/xgwzLXZ8Gy0TCTMFDGr5m YUUIC3X4ehabzIolIB6WF7cxcU1aPsqTFZzsdNB8SF63J44PS9pzIuTuzoZpjlhOKX54n+Zti9uL pN3I8+TfYnCjasydHqpys9VPpkeVA1x3NKwxxxtqeDoX91X+7k4O4WWyLAwODoj4Kken28XCwiJ+ 9atfY2O9ijDoB7x+yb8wJHO7y2i1mZ9aQS5RRr1eQrO7gYwdwNIb0MNBFWIRS2ZkI2msAJ3QlHCM wFpFTie+lgheMA+YSw0gncghZSXl58v7Po8XJ5/DaL6MTuavUd/4Ajqdid55jxVGYOoGAtIbh8Cl q7P4UvBFgWYM5OjVKCQ/e/E6AiQl57ouYRghD0yo8/OkR/aY6zTy8OwUXpj+KtoXdUwVT+FAXxel 7NswPQeWe5Lp8p4UFIs3HAz7yORhRcYsRjsoDivFuEtPK6mlkNDZpbAdPNJohiEb0gN4IJtrAPp7 vC8h2kiYliTdO4EG30yj26OnuXHOhZoPZNYxMbiKM64jYNMndTwQgd9uazQm8FN//3S9q/gcyFpK LE6n3UJWegrVjBKhmDt8ljskwz/mKtjixknCCuHz+RBX2hoyivD7d95g3YBbi/opadhHR0aEwbRS q6FSr8FOmuhudZFJ51BzEqjWyZ6qwzbyaHaAxcoSWt4ilushConjaLVPI50oI2EURNmZYRjvKT3W dhRW02gRq9R2K9JCk7JLETyAiXcbf+/o30UxVUDS6iCb05D0Z+B7e6P2K1UR6WjsvVTEfcxd0Qgx hA8oaBGF8qRxSVoEmGrEDKPFxR8SIa+6Fng+NKIOQ0OLHF/jeHHf1wSuMrQxB/vi94Dxv4S2eAb6 0ig0I43gyFMIJvbIPUsboeJ/E/Z5oWgUg5g3i/CMBJJ6FqaeklD5ZrAp/9smgm/HFOIR3NBHixuE 5qLfDrHQUZCT4HYycAhEncgImrdVv8ZnnXFUFHF2MFrGXeifdih4MxaL4QhZSpXBUoXlu+HBYg9R mFKj/yYHEhudicPKS9L1dyfhfj+DjgET8keOHMGZc+fws5+9hlq9is31CvoKfWjXPoQLAAAgAElE QVRZLSxYZ/HCsyQYNFFvB9hsbuDAMGEKW6i2Ori0+VciS8/FaxtZjOdOYk/xFVgMBjUFwM2Jp0Nf wsNo7hkYBuGYynPxzBTyuTFhpWhrW0iF7FzIwzTooWzj6LiAuZRZXNs3MwNfN8RICTxDDAhgGaSC 2Z6T7MOkkePzo9FUHpAybjxew9Mwkh9EKnSwWN+Hpc4XEWx8CNedhGPMQNNSOIgSJsEeym18nsx+ aah3pHVqLHVMdCTTJllPDBGUvXnwCDsLWDyGE7RRaS9grt1CQ5tC2mS/ZQwX3X34oYGWl0FC35JW pyd5PLDBign3YhOg+qZ+U9DQexsK2mAKT1ZvRMWA3YcqhTNH195qIkdlHFlIamLTaNE7EGjEfdAq /y4NGngCQ0dGRyTP9LPXXsOl85cxODiESq2KudYcnLEGVms2Xj/XQKe1CdMI8cz4HpQzq3Bbx3Cw bElriuO34AUdQXuLMmCkL0kOeeLdLN3GRO5kxC+viQpOMzCQNCknZinVGn0QmvMVmB77Q29E//ea gQGUikWkeO7kWmMyvEcnE89Rhmfq73HXxU4TIl6ahHOsSobCtrFiWfjImsXKNQvVxji6Th+SuX4k jQLGREAimge981EKRzRcaaMoeDbW9+6WHIkJjilI4ftd1FuXsVJ5C2vhMLrJP0IQ3hlbFYQMG3PI C8fYk412Nx/GWgnEQRge7p258zc5SKHMHE2LkmFxqLprcTOE0+0KJc3K8qLIzFM3sK/Yh4OHj0tY 2XuneJNPqHcV/T8u2oRpYnigjJMnTiCXUlW2M2fOIBdm8cKhz0PPtPDj0+ew2vgrrDSXcGGjjaNT w0ib40hb/Sr6ZpKYpXpR/1H3kEaLRoP5QU4/8lXF303PK8nOAbm13Bl0BJ4J3/0cENiAeaPI6M4n MDt7Baeee3YbltK7JnpUnhgFinPcHAHEvGYcTAN0vED44RKGjYx9AW64gGube1HfSiCAgz0lHbkk K423ejxM7FOZmwWLbZ2DO3v0PLd20JL3pIR3K4nh7BElLlt9H5e3/gph6h8C2u3zUn5ooRWOYGjE hLbYAOzHpC71O2mwIt4gJh8lVyBKJL99xoqDIaF5E7SBK0MxTvrCB8Wyt+d6WFy4grWV68KzxckS eg6Wr80jnUpjcnq/agLvCbn+dl7voxlKrp7kewZ8TE8MY6i/BMcPhN7myuwsCn4Ro+VD6C/MoNFu oeU00Z/xsNUaRMKmfiBDP0XloumqMhhTu/B/Mul0lUPa8kmop0QVFKurKvnHBIsKhVISeXv2EBKP tTMXpIxsiNXVNSkE7TY8sKdUeVhqmFHCWzUGxUUA9lPmNE+a4zsC11xHNmGiXN4PpPehlNTxxWkf 04VlGDppa7I3LiHJuIdoOFtYrF5DPt2HqYGZSPhD9TzGISDvgxN2Ra2Ikl8cftgSf0s38hjIPQXd zKDc2ULXBq451BQIJQF/s6kkzY6LHDLpEI1rs8jtV8WJJ3Hcv8ESL0UlcRQ3kcoWqNab355lTNZU l+VgzRDmTvJF0XiR66hS2cDC1YtC4pfO5GTyrFxfFPrlmX2HFHdRty1EgNevzSOVyWJwaHTbk/zt ucxHPyK+Kd9TKsoJco6lFBc06YYKxSI+OXsGy784jUKR7TsGyukB7BudQVorolbvYm1tCYMjAyCj cavVQWW5hpGhEeRzOTH6JB/sdB1kczkFOxAGzii/FDHfqrmkoAcMz0izowoD5FUT3fftZvoQmJyc lHkZ2bRewEjPqhuQF01Dh5tUYEnoxfnK8JSIpljV2bJ06AKY0rHRXcS1rQ8wlh/HwcEJ+MiiaIeY KLyNQvoTQKdxEW1oICgCYQqhn0EYptEO13CldhWD7jFMFEYjJg/CO3Z46qKgFKDp+5JUX3WVMnTK 8DBgByhbFvoyM8in2cTdxV6X3PtAo7MFv/ohNKkamphLPSekgL6fw+zcSWxcuoLsvld+q9bip18l ZMk4FplUr0TeR0wh8+neLNWywN3TQDqTRWU1FG8pmytiaWEWlco6EraqIK6tLCGZzghz6cTETE/U IpPNIRMZM4q5kiwwm6PQAp6oId6kbDqKtkZI7CTmJY1ygHqtjkqtLuj4bDaDYj6LyfEJaetpVtrC DrEwu4i5S/N4/vlTWFtbwyenT2NiagwnX3wa8/MLeO3Hv8CpZ59Du91SCHvdwDtvv40/+ZM/6XF+ 0XPjz8zeGeGsam41MTc3h69//avS2Lyyuib0LDRakxOTArIkBGNjsyJsq+MTEzewNfA5sZWMIZew UVDY1GeFl0goJTknYig7KsaxQWl7VcxWfgCT7K/ZZ1HKZlGw28gabN4eFS6tMGhCI+2zUOUwR7oF zViHrrVQ7FvBcd2DHTwVMSxEUCB6nLHeYQyB0DykTGo86phtpxAggUHbxKFMUwgkLeGkbyJhJlEy 0hgyAhRaizDbS6hmjqGc9fBhy0DHK6DifxOpzmtYO/sBBo/c2lf5mTVY4upHu2DMyxcxn0jSWno4 P0WjFYM+maAt5vOoZ/PC/85zqlY2BEl87PhJmaCt5pY0SrOKmEimbuzDS6YwOrYH3U4HF859jMPH nkU684AqPb9lQ5LDUS5SiPP4PM0oFGOIwh/fw9ZWXTjmu44jbA+krCFN8969e6UPLp0k2lzHlSuz +PVbb2N1dVUYIa5cnsP15WWk0yTj01Gt1QQcubKyKsfiN6+vr2FwsCwUyx98+AEuX54VA0c1a7Ik rK6tCVHh0tIi2q2OeMpkXJ2a2oP33n1Pzp3HVaIoGgYH+pHL5bC6soqrc3NiPEfHRvHUiWPIF/Kg r5Yml1ikAn3DHI1yTtRZvLT5EzS7KxjLfh5aYi9caWOm2qYNLZwQIkJ6blSQpsEJ/YZiR6Vgh19H 0voQe/qrCN1+6ER6bqus9PJZKjgml5qHsqUYQeqeiXkaLap/6yGcQMOAzZ5E4FwzKX2WBxIZLKZf xN70dWQT49CDQPKBA8kEJu0RadavNp/cFp37Nli79Qiq39uS7Z/+iEF7GtKpDManZpDOZrGxtop8 vg+DI2PoKw/IOwtFylHtDi5TNMoZTEztxaULp3H54hkcPvaMkBve01mEIdbXlrF8bQHJRAqpTEYo nZlbSyZTktx/GNrphxlimBj2SV7FuIEfTLkdBFmayGbzGBgIpYlaNirDlH/3FfLoK/WJsSBPfq5Q xPrqKorFPvQPDmJra0uMEKEIX/jyVzA4OCjtUs1GA61GHYuLi3j99TewWamIF8SK7slnn5FjkzOd XhWPvXTtGnLZPKan9wplN0klMxmhOcDVq3Oimj0xMYGlpWvCOqobJt577z35fob2PH671RIiQ91O YM/EmCD7eX1S7Y0oh8TT9D1crb6Jpfp7mMw9j7HsEaladiQHxlZwmnUGboq5RIJXzUbo21J8EgMo 7Kl16NosYDBRvrtegPK0lNliKJw3PJRMF0taEp1AF8O16ViirDOSJKiU1MrAHjaz5w6gZUzAYY84 1XcSOg5kgEHPwvTIIOan9uJJHfdvsKLfN6/vbQ7rTz8kVOdDt5tUKaYYJYZ45f4hkQBj2Hev58iJ mMsVMLlnHy5fOCPyYsxz3cvn69UKLp7/RIyk53vi3ZF+V4EL1T3jArXshBiw2JjxNRozorYfx71U GwtDQBOBhIP0FhSfuVxzVP1lcT+Xz/fCOBGu8FUvqWBnAw9J00KpbxClgUEMTk4jQZ4qUx13bGJc CA0np/aIpyXtKP392Fhfw2uvvY5qtSIeVKvTxuTEFJ6jwbJt8dziMTo6Kp+lmC49LIbxTM5PjI+J B0VjRernzY1N8bZYFT506KCcJ6m+33nnXdTqdcz94hcijfYHv/974h12uh35LjGYni+0yTzvxdUr qLgrmC4kYNOQ6y4cQZ4zNFMAWHo0bUfxw4V+S1Sc2QYkeCv2/RlErnfRpQJRUIet8VgKZ3YDo4hO mhrlsSc1HXtSFlacENe6Olq+gbZvyG+HrKxaILm8NPt5DQObfgIpI0SS7UbtEIvtADa6SJgaMsXS XZv8PxMGaye31c1DBA7uU/7rcQ3pddxhVBXq3RbD9SCDoWNfqR+jE3uwND8rBm90jI28tx+tZgPn z36IfL6I6b0He9AJ13Phe64UAdqtJlqtLbmnFM5QVbEIqRyJyjJc5WJleMp/k6+e2oW2pXb1ex0x HCOGIMbYOTA05G8yj0Y4Ir4m9MNC9aIL2l+eLz1L8jN1u2iS83x9A9l0GqVSCelsBslMVjYJ9lmy 8jZYKognQvqU3tdpunhIR44fh5lISMjmdBxJyDMs7zG2Rt46FYLU5zQUE6w4qhxEPp/DzPSe3q1K JUcxNjYqbVgTE2NwHMWDxbwWX7t48RJmZ2dxdv9efPjhR7h+/Tr27duL+YUFpJIpDA4NolqpYnFz DomxDkLne1gun0E5dwBWchoastKnZ+p5dAMDDVY3EeLc0mnMrZ3FRN849g3MoD/Tj5xVlR5BtgKF hCzoWgSp2B78NF8zIyELrp0p8m1RuUcLsekSy0ayAQ1Nz8BkykHaTiFnmVhxNTQDCx0dmNtyUN9y 4Cdp/LpYqzWkqGHaN5IhfjYNVhwt3MYm/RY4Vj0GRv6DTa5MxTyKsIveDiuFruNg7sp5MSI0YrsN GqYLZz+WMGd67yFksqyyaWAko85RQQfoddFo0WvwXKdnzDjh+D2shrGSyTwbm7jjnFP8IPj9g8Nj YsBufz92wiu3E9KixCyiwmqjoYHamWOhMSSINKCQJ40oWQIiTicEDjy3i61mS4yoEARqikuM6i9E kguWStR2I2MVnQLNYj6bwRc+/xL9Opg2U+AKN+VRvj1QhiDGRkmzfRS62QY582+daPJSZOhsmxxT FtIptXGR456U0eR8Z/6MwrQU7VhYWJDj8HUaNL4mwiRuCe0FUtTMY3W6iZmDNdjpDxUyXk8Iul8X vFQeKbMfDe8CNjpXsLq4hI+vnxZq7qHSBRybmMBw3hYQ6u1AMMztdUJdBFBo5FN6iJmUD2htrDoW qh0NfjdAKdRRbtXRl9NQr3pou4RO+FgLNKx2ApTaVWS1IhynJRuz0+nAzMTydp9RgxVjkG5vrPTf ioS7ygsobBgnSxx6PQrVH9tOYmRsSnoTmdM6evykVCF3DoacDAMpMXboyNMq33LThJWw2WDPnCEL /oazjwGHzJGwKZYSXvTMXKVoTZ56GjOGl2ury8gX+nY1WLFHpexVz5/aFhNluiXOQ/aS0AZCWfgq TyPPnEOqwtsQSOZcCrk0jPFRpHMF4R4TJDnbVKLGcSaKI61wpYcoOCSVLjDZg5dMRt5kJIXFqh6r u5EHr75RVfrocTBhT2YEGjbCEe7+vNRxaJCYqGdvZMzsOT09Ld4VQ0+GgtR/JK0OE/adTgdzc/P4 3g/+CkFVx57SOMyROurhLMqZvchaA0LOF4R1tJx1ZJJ1vLDnEMxgHG0XqHbqmF2+jMX1ebx4cAFH hooqv3Ubo8VXq56GTRfotyGeVcX1kTdc9Cd9RSfjhvDcJrYMG42WI6ywhJxthZZUwwtUWgocGL6P qbFRLFbWkC4P4jNrsNQiUq0Vt1v3NBCquBQFHDve95vMa0lFnjslY/2o6YML72GVbHpGK5HE1PQ+ qRpevnAah5iEt1TOhUneuauXUKtuYP+h48gX++7b7ezdK6pZR2h9enO964uqeBR+WLm+dItSSmyo 4rYpMU/xOdBw9Mr4qolYeNP5vyhHpbQKFTpK/i/yvqRZJSoF81cmlUQ2kxFOKnn2zHtFKWYK5Sp1 H+KaFOo78LqR7SMbAauUnqKDYSgaeUf8pZBW26Eryen47CjJxjifmpFs7YkIYSVcvZ39UpxsqsmY ByNVNv+bOULCKXo9iTs43mggqVZUqVZw/vx5XHqvifGDSdjjGYwNncBE/gX4QRdNr4mKo3i3ylYZ fVZJWpAcp4HL+jJeu/oWfn3hPSSQx4mR47c9SV5jzQNm2/Queb2GKFz7foiiqcHIJaGFHcF5+WZC WpZ8LYGmw4qmiXyKQO4ksjZQTACLNRvdZUXD89k1WCpFe1ejExstN6JzESqXgJSwgZS+H7fRir0T TnA/arugx0cgofL+7v/7eTwKcPQEAoJQvKo9Mwdx4exHmL18HvsOHJW/XVu8KngvJuX7B4Yey/XG Kt2SkFcn2Du3bY8qbuCOsHLxwhSGBEn5q/UjrSTR7r9TmGNH1VcZDiaTIz+NOS/xxHQ4NC8B21Qi QyV2QR2b5osekSnJZR2mlZAOCaoqS8XNpf4gjZrC9cVmdOe6jkNFbj78N8MmouN72pCkwxHtK6VY xO+Pr8KPWn34Cj+nfMa4j1B5j3L8SAAiThvwN6l2vvG1r2Hu6hyuLV3D+MwxFOxJJIw8LD2JhJGF YZRhWpOyIbJpp8sw3vOQCjwcToVoFHL4Xm0df/nhX8Ppunhh6hSSVMe++XlGDdRuSBgDRFbOcTxU Gx0YITUS20jo1JQL4Lt1YS719TQ8JxRiwqJAKgyk2x3YcFBbX0GwsIahEyewQXqfJww4eFeDFXNc 3etaj3c0eiIqUatJCKWxsnQPkvAPOjgBd+LDzEjYtO56sDXFxc7vZ+XoQSpqLMnzRjBEI1q+2FfC 1PR+XLl0VlX4kikszF3G2PgeDI1MPLAk2r0OtfiU9xje4E1tqxPdbC8VwZwyRGT95HOKJdB2/Y5Y Di0KB+WHjAh2UowW6Vz4oyn9MZUvpNZjJMpBTqi4/cXSTcnvyJyg92ipkFCOeY8he7y4aZxi48zv oM0iR4HnA06njUa1gjRbrCjw4LjYks9EYFGTaPhQhFWTSRYvKOzK6GH7+2m0BgYG8MILz+Pa9esw gwxy3gQyBI1GLmqMjnfZxKMvQUueg4kVGE4dmnYaFKru0OPevIiWS+YK4HM3GS16pW1nC3q3iRkz j7yV7rHiFgh7dj0YngOHnzd1NPwQq3UHekK1D2VSOtJsPjcthJ0mXNNAPmOi5DWQ2VpDtaj4yD5j BiuSl79Hb0E8HNOU8IjJzmJRNWI+LoxWnKPaFmpV5xmHJoFOZktT8S8Ffo/M736Oz0UtAhyiIWeg 63alfD4wNCrUNXNXLkjbz8DgiGC2Hje2KqbzEYDsTjXtuzBI7AT6iqadGHiFV7vb8+U9iDcvg6V7 AmsjhK7iWlDtUJ4YKmVRYjQ5ewAJ51DhnyLW0yzm7pRBY+6KmCjp6bsH4sdeh0VkODi8yDAS/V6t N+DRp/JcKVroNEp8dqwWC7OnB9f1MDTQL5g6afWLnMzYcDEieOWVz0uP4muvv47Nazn4Iwn4CdUV QK8vYTTh6r+Cpl9AktdEb5Pq1JqGoeI0Xigdw6FuC9dqi/jRhddkIzk58Qwq7QrmKwtYrC5hub6K XLofJyZfRtZIoxv6SNgBisWcVGxJ3tzqhiKq6rgJUdJJWzq47xq6B7OQEb0B291CKpvA5MwkPprb FB1DbiZP2rjjyt0ZXtz70KRtwu+qMj7172TS3Kdnc8/irDvyNDsXnXgeDCMMTQCBfhRW0JDeKLgZ N6X1rFPveiV8Csk4AFTW15VYaS4bmQpFdjc2Pi3XyYre1PQBMdaPa8TXHItjcMR5xfsJPxVrbNQR IN7WdrFk16Ps1PtTL8j/V/1/KqeUMlR1j4s19n78XsVWNTgr70sO1POqGDqysihhe/SahIEq3r3n azJjzyudgjkyLNVGVjJJOaO86qjcIGR/5K3yEZBXnrU6nlekghNGVT2mD9KpFMbHxzAxPo7VtXW8 9vobAtE4duwo9kxNImmvI2GeEZWd0H0ZQdAPvXUFVqhh/8BBDPa9Io3NS/Xr+NGFn4qg6/nVC2h0 Gmh7LjydugNZjGRGkE9mkWXOSpc7InqG3baH9bUNdNy2iMgaZgbO6gZq1U2MDpSwsHYNy7YGw06j vjQvaNSh0QnMrW5gPNn3RGKxzEfpXXHEk554mnhxi+hn3L3/CPI62+GffOOuDclxxUnrtlGv1STR ypYRVri2qT96xf5ts7xTVCCyDDTANLpEYHOiUwcuHgwVZ/YfluPdXPF7FKOXRN+5gYgnEP37Hryj u6noCAeYtLfcQy/oDk+Z+ShdSPjUM7d2qGqHsdcj3otiRqA0lUlkfBSFSmgq/GMR6R4NW5SbEiO6 w2Td69xJJxNIJROouSpcJPtCu9mKALp2D+clTdjQeyETQ0qeI/sH6TGKDxtxrR85fAimeUmqh6TY +fCjj/DNb3wdJ54h1CKERgVrYxaaOYu2FeAqKqi0f4lcqo3hXB6HhzPw9QF89/Rp/Pj8R5gsP4Xn pr+AqfIMhvMDyLPFyaAH35b10glDNLp1LM0u4/Wf/Rz1RgOTkxMitLFy7jyK+QKyaR3dVhvNjZYA ZwlMnZufx/z8GuottjuSNPAzZLB2hhr3M/h24mBuDgF7RmKHF/MgC+0GRP0djiGeRxig6wgJu8r3 +B4My+yd2y3HiIzq9rVwAZJMzkCxUFC88ARF3pSLi6uEj3L0YAnqP3bkpyIPSZXsHvp75Fh6TOei fmKs3S33NsJAKaK6GECiEtrcIGiwdr6V4aAlzKIqCc46YSfCHMUj2OGpxZzoorsX0aiYhMts3xQJ X9V53+GaZMNUupFsc+n4itKGxkggL5LPYgV5Zy6MeoOqCinn3ZtnQH//gGxGBKa22i188slpXLh4 EaVBAyMTi0inFiOvO4EwU0a3bGJry4XuL8HTV5FONbB3dBX7NlZweaWDieI4vjDzOfQl00LD7YcO mv4W/NAXkQqv66G6WcXGyiY21jakJenIwcNI2UnMTO7BsaNHUCwWJKxlBMMqMp2Ca9eXMbt4HYnE IAJ6lZGu5mfDw+JutwtJ2b2Omye7uP8R5EEMyHYEdlfDtR3+7VgkdxGRiJPEpm0jk7RVJUhadVR4 cLuK4a3nDSSSLDMHqlr1GNMCvWvc4VXFsly3UE/v8GQedvSeQWSExGiJjYwZNbc9Jyaot7Ft6FVk mS8hZ/qdijPq/TuuN/KEYz6qHZfVM848vkrNs+wfe2NRceWmz+wcfMr02pgzy+Sy8uwEheWTXZSw l21eM9lkaaSEc14ZLhpJvhZP0nyhIE3bzOWVy2UsLy/jRz/cxDOnlnHsKVLA9KHaKKDWaSH08xgx DyOlp6EH5+D66+h2fCSDSST1dTidBtKhA/hdLLfmsFmrYm1J4e4GygO4vriK9bU12GYShw8flobz o0ePIJPOoOs60nzO3Btfp6HiRkpaHnYFDE9MIt3QsNzZEA+ykizdlgv+iTBY8aLhzWM5+lEOZSRi Ijf1ZQIjkrzB7uGdwArIbSU7L9sZmDi98/fw2PJ+9gGmkzcsiJ05qnsevR5JPJYRsw30qn1CfBf5 EjuqfjuHvPaId0/laakEdI/vLN4kYkqOKFDje+NNg/qyhDAIY6i+q7C2GABRIdrpnEY5rp0e1/b1 RTTKpkLHczCccxjDiXEkV3vvMLd428yV8fOi4B3xZNGLYqjJ1zVCLnS22kTqNZHxjH87lKmPvEQa OIa+PD7bkBSoN0SjEeDdXxMj1cLEXh3nluv45HoNtrWFQ/11HBhKQbdW4HQz2Koehd8GEtoZ2fw6 zhZW22dxcfXnaC/3YXM2g2arLUIYvFnFQhHlwbJQ+pB+R8JT04Dh62g2m9Iczlxcq9MRQHEc8gZO F8laFaXAQDeZRQ00WHjyDFYPbCiqMqp7/faQvIcbveRuhIfZTn4r2CeHmmBRaVx9SnIlIiwQ8W9z AdAGisL3zl06KsWLwMAjYEMVtspHaLx3tsts59JUQolODb2YuxrHnr0KH9OziTcvZb22jZeS+9p5 P5TQLPUCldHauUFInsojcV4Al/gtcbNi1s3tkPCmS5PX+LyJT1KUyRF/lakAlvK3IBTFGxovZWS3 0w30jloiMaZUcWKclqS0+XlughE9svLglJHCjvlEymTm1XjB9PRyhQK++IVXpBLJqmetXsN7772L hdkaGkYDp6tL6DgpjJYMlAZOI1f2kTJG4HUHoFkNtP0m3KCDBI0SOphbuoCPPprF/sJBHDsyjWq1 JiwWh48dEjQ+c8DcFGiYBKpjKuwd7ymr0oSIsAeTf4dhoR3qsNw23HSISpCAm8g+Ud7VjQar13qz o9rzG5Cxkl26J87KSaQWhpTdI49LlaMjYr5Imime7HGMrsLEnUdWu6kwCzy0semxrT3Qp3capRtz U4q1gT17caHynlkkeljwxze2zyVCwEc5rlvPRRkI4j9pDHYmyonYZuKPnoOoHbN4oUWo8h30xDcP M/Js5PnueI8o3ESqOKRX5gRm7iyuCu+sZMbCEuyZjPaD7ePoNIYsCnBji4CnkWGiHL1UN+WxxMl/ viGBYimhcm0IMeQMSLvP6dOfYH42hfWgCT9sY2BmGPtKOWSsDhAUoBuj6Ev1Ybq/i9mKA8vgd9hI dKdgVtcxuGccT584IQSFW1vH0N/fL+1E9zr8UGlmnm0CezNpdP0y1tuqoPCEpbCYh9ypJ7iNco4V nqUF4jEbLd5Y2enY2iPpM7aKqAZakVCKUQecKJHAKQ0Y3f0g2kW5m+6c/HyNx+XfHxpQEXmc93Mf enCJXlUzsntR+BdPJVW1isLA+73PO/ENv6kRd8DfDlqw42bHwE4JVWQj0tD1QrRcH9mEomqJw7r7 Gfx6GiqGknEYx/l6c/+kHXlbApuIVHt6vePRj5DEaKRPVoaLRosH8AKVfmDFUDxATUNXQkU1nwhE tSwTU5PjOH3mNIy6CbudwEfrZ3Bs5DgO9p2EY7rI5tdh6CEK9jhODA1ic0tD2+sgYWawb/xp1Nc0 VRgiBXVfn/zc7+gGJPjjj4asoYobNMZP4ogBSbckv2UHjGL1R9GHd7cbzslMyIEgmaOQSNttJ9ej ZGj0d05CXwQzVWm650v1wsSHO/c4wXwvKjkxjmi7IipH6C0o2QB64d6DV0S8wIIAABcvSURBVErl 05HR207P/yZGBDyNAJ93LZZEv2msWOkSQsRsDp0ghB2FY3fKR4qxiTYe6hjuZiAlvIs2q5h6RlXH WCGM5lMPsa/mS6wjSAMURp547FmxYV5BLZTcl8K5qesmU0S8EfJrmKTvKxRw8MABLCwuoW+rjNHG FDY+LuOXK+QFMzA1U8L45DoK6SqS1jiODh9SRtxKwrIUweC1a9dx9MgRZEgs+ADDCYFrXVX8YKHh SR7mnZLJMbWHLLTHZLTi8I/JTyqmKHzV7Sk5drNBNGIxP3f8Z4NJ4Cg/8TBGK841325xxjAN8SCi N29jxCIvKsI27URSP/SI2UF/g0MZK+Xl7qaeHT/L2PEj4Nb1FbNpx/XkACZBxBoFS5U3Ta3HXb8r eq6+r6Hu0WCFtwWL0mDFrTLb7UQqJ8V5JVizCFKxU7OQOSxWHJl3S0XyY5x3FN0iQ4Tc4R0e5XY/ Y4iuH8ALFZHh3r0zGBoaRqd7FIP/f3tX+tzGnVx7Lhw8wMOUTR3Wykk2q2wpriRVTqUq3/Kf51vi 2o12vfZeUu2u5bWXEinJJAgQ50zqve6eGUAAAQKwKELuskwSwByY6elfH69fP75FeubfnvyByfmv n+3Io0/vyz9/+pHEwYXc2zuQanVPkqgu561jOfrbETtCwI+2qITgAzMOMs/3ravEszE6Biy0m7nM 88ZEeinNgJutIaf/LLyTK4FVp0QpWB2Zf1gwF+cVsrKR0XYWR3MXxYLCi7IWnpKSFw/RirXpHXP7 NQRUgwBBDhIhV2/QZ8M4c3XwAuJILoB74kDVAkg6SWA44PlME4Z12eTXmSIAQJRQCFUG/A6PhC3d 8KzwHpHu2I+GqfgOWGQ4Q9nApP6g6JqUSpQOmI/Dd93Z3qSnhd8/PPhAXr16LUfPj+S7774j2PT3 f3ki1buvJU6GEqab8tHWp3L3g0ds77r38T3SRy/TZ1sNRX66kUl4IbKDku2aJdrLMrOPpOg/WwxI 6kLUs+WUyq8F9nOkslTCaC0jMBBkJVkwrC1wUVoxLSedHYek56t0NmrQFe/1Q0t+iOvIYU3xgFkA NAwUTVMgUq9EklWUCJAdD14LTjMMn6GBKPNclb8Wwi8ASDd0btdEwf3F55irLFeKFVamo+stbGLO a2j6lqU0hDCqnEYN42N0OvC2UJ0kNxfqotgmTzum6tlxMAVyXSkb+4MIPbQVaWxvyfbWpjy4f0eO ju7IefNcjl49lZevq5LFLfn66Zfy8e5Adv79gbx4/lxarTbDQQBBF5WKGay9BFOBNBxeV4mvgs9B bM+y+7yN0JaD8IoefsFq4P1nPVNWuO6oCLmsIPWUJ1UXAWfknOeek2JYrH6D46XoFeaQiRKw8i2u btfjYJX6g6Z5NeNbAIRsQE0CIyzSwoMGBeym6J7TgoSGZYVsRJliqaYIcmDkyDLQ6qSrj+PgmNBF GC2EmN1BKvV6xby3QFp9tktLLQYPKqqPBpWwxLxW3FT/VafQAaHVRBitiHSsOqQj7Xc4iHZroy53 7x5K/9lAwuN7ctY8lb/+6lzOd17IVvALel/gpdcRaqNEkFeRAPxkEf5l/G6tNZ5WP3enroY57v04 jcvl20BBCNJzJLF2C+SMlB7KVQPr1C+OtpLH3lHbOU/4FXBRROPTKKlnhRImuaNwDZwU7hrFYQ3v WFQ4lzg404eYwijBILQBUzBd8AT5rNYSx2zNEhgqxVWJbEUZ23Uw8bvZbrE/tFKr54sRDux5R0iS 5+QAkwmkT3yY6vBQhgJ6Q3xiMMCMQuTMmPiQzY2a/Od/fCb/9PChPHn6J2metuTwo7t8749/fELd BJzh4/ugI1rNQjcUkeaPBktFmSWL1prLLjJWIRgrKIpT2jraGTc6MWXET6yqucFacTiVF44srC0i fH0qlI7YX/fvxUDA0ORaKQL4p5zQvXbJEftv12QxRWAN07MWgsskGzM0zGcGGoa5LmCRa84B056U x3KoTJmMA7oIQ0XcFZqMux1pttEpPGQLFybjgGc982T92DEImudAiUCGUSSnPU3oa4XSxn9lOk3H AbdApN+9vSE7jQbbbMCDDzpmH5v2wf6+7DS2V6JTAzP6k3J66yLxokBPtBfQ1Z9wpZ0VkiA/88oQ ApJkzXIJ0/A3q/GsCsAf4nk9B7Bb6jy53IMqeVdu0IjgHmEtWEEy7QeS69BL723UvF60sHc1ySsK Sx0MpD6es3kXetbCNqZzqP6h8oeWG50maN484ARA5Gch82lpXyTZbHC4BYj9khiJdtDdKCYwt8em AsyDliiJkMbQy+HaZuylnFuovFmghA6jiuzu1WV333J4S+aDy+LVTwyyOOkHctQrGFnXURYmbyqq Y0VOB8IR8Zaj8L4yeFpQQrr/U3rNJjVJXw2oyf9TSZx1AAZVNVWXy8haQzhbj52+xr9kmrkoVct1 iJ7mdWrmYteJi5e12YzvDfqCLoY2eg6twjuPE+cLIzFSlh/l5J5Qx72NflYrvP0oke2tWEJrv8mM MosYvxI1jp+zelLq1aKvEEYNXlUSJ6SJJtiZFWK8jtxHqEymYZLz5effdUkdSzM10MhXndoAixc9 xWJp+9H6ysIGywcHFCRt1nRMbEvBrw3jBYAeaDRcGWaJNgDPzpGVu0TKVMHkU5JQ0gxc7Jp6B41v xtyCtnbcfLYgTyi+3aN6/+LCj5xViicBRkPDZXFQKTBTJQMyS7AtvawAOSptxyGhnx2vbPiqebVQ q2rQz9DR4eal8V8pLHTPj9lbIOPpgUUEOdMrx1ANDtYAmyrmOep4MzVOyy+COLWOGamX5kl90xF5 3tOCgINnd9eQUmYlBssHTLjqeisAFM49KLwE15wJ96vcM2N+nHSjCyNVsG86doZ5HXJ8G6qcZXbk onzGyhrJdeEa/KIveDnpYWXqQU0SvAxjdpGiFaZofL5MnIlBE/AFaBeXCODV4YTgFZVHGDjoDvQT +otcKzQFnhqZHkqLrLcd4dzPrJcV+oUKd2T/YMCiWAfQrjKNgO+HRPpRV+TrbiC/blrYOnbr6TCs sbFaOiQkQyO4icDvPfEz+m9auXnRvjx/Yuh+GzlcD6Vog1xw4ASapVGhtLl36ybXan6XxJ3Msne4 W40oY3Mz+gCRm/LnkB0NEzwPGKr9GB6IbjNyPKcx8g4EwxbCaMGT48JmoSSMFhZdQAMQLShvVtGz yK4MKxQRvwXDOsjopVWjKudNrjrnCSOE/NRxvygk4MHtT1iy1txeLW6wxvm9J4pR+V69pxd4l3E0 eWm3ZaZQHAOhgK2aBfRCcwxqrNYT/evOzrUAKlY0oHaa4D5uxxkNCpLKZOYQ7Smc1OS+FdtIMEuy jzzExgTixmqcFgfeStV+wkiFZrRwbLwG3KozH+A14sdMrVAbrMeh9ICSB+WyPVSruiqOYQQU4041 kG+7Ih/XNHf8Tbfoa4TAmKHlaZ1lqYkJBbvDm+KVwXkjeM+Ze2Mt1S7njilwWZNQ5N6Fj3tFsmKn ylkBF9Y7LUswwi58SLugXtT4IWsU2DUMhy9AWvkrDBbzo0YKOM2HZuiGuYhTOMa8XxFspuT0MkAz vHT/m03FJV2nB1/KFZH+CGwOVlxKS5TPy14e54XDMTcrmdytivx9PZAvWxmT7Npm5Oex3vmrFRis 6aEWjBVcdVR+pnEejTKcejoXhsaZu2cPRfCcCFYhT7KWsTc/yg8oC15gY1ybe3MHGDO3Ba462xC/ e9Pv+ENbDgBmPcO1KGMIyJCQeSnz2lE8KiW/YDAVL1YUeZzlhJzxUWFEHWu4jOFy7wrbI/wbcg5k Jl+di/xfU8Gr5WvEMDEnXlxPWXImVSm3VGqHgZAu95LKYBHu6d9ODcKQzg2OjRifGdBZlYdURrqz uQe/3lxZPUXyvDJHMmCq8MEChctY/+g8QiBppuwNlVA9Igclu6hRQ/EFARqmUqOKppXj6DJPDkh4 iwiI5bK4srz7Mn8XjOKk6MEHb6zCcCkQVK+3Vi4zJt/baUBDjcGxYu/hWUPovM7GammDlffaWS5B qzSjTAmjny+2c6S8JsXN3TZPCiyh/TSQc3ppGZUJ8wW5rVeSrOzsx4IydS356vxH6y/X9D09Rlvk +KYX4w3v80ojRjJ+NEQrC0O5OJMemq0NwjJg8l6boKctZHgdeSzoEPaRmgfnRolhWQ54dv2djqma ZLgcLuFFqGBG1IB8GthU0fztV7seifzXfipfngfym/NATgcaEv9dPZM/XQTy0jPxayoorC2k9mzN AFrYwj9MTSERmnlbWAF8bBNEx5IXydosH5Wu+2KfHrKdZgSRPPz8DGXcUO5UMrmVFOOicNNvVzUJ qQpoU1WolO9TLJjduEphUFpgxvFR8whxVoAkAPApgewnk0PLoPQTDzSMHH6nobtk38NAwy4Yp/6w MGStoXJkjdOJz3O+44aL18AGZZDZwhl1SxAdeFZ4f7OUp+yV6MF/vpnJh5VMHjdDOenr/hZhb71p EiNJuAxLIfJUWAnQKQ5XHK46aGY9xCsomNmwwNFh7U5XUcBByNHxmJpcSSpSrVTyyl89DqSRBJJ2 A/ldO5CvShUx3OB/2MjksyClIVPwAtx6PdJNQavfVFE4yWKc/8WAiEAuUmViuLLRCkV2Q6C85zPY HvLB6KgHPt1o1ULNZ0Gn4c14A78TOWKCE8GlNil77nMuGa6XPQ3rUFDAs0Kgq7UlIazTfB3ojlWf 8TpCwZOeyNMLTe4j+Q5KmYcbmfyyqWyj3695hRASw5NBdwEjriuQUKEVAaA53FBccKwUW/DX8raY 0WZZd59JLZskUqnWpNPpSH8wJLUGTA5CQYwVx+ewKt6pZmw5YHhY6kDHKvS8G8ireiA/qehEEdB6 DAc9BbMGxWDTdbVd1/m1fFEB5Q5oVq4qoTE0tL0Nx1g8ZkkZ4kLgMh5mjsAqhtv6+zpH0geEOYRB WSFm5ZJgRHFeTkfDuQHexcFBFZcXnC797lb5xMINPSaRocEj1JuD7ltrmnld8KA+P9PwD8YKWDM8 Fwj/kM+7VSlodtZd4lqQSmsYynaU8mEP0fc040nn3LZUpJWJ7MHYWd5JhzXYCChj3nTldsHfoPM4 bzblxfExPSwoGYjPOOS0xIhwpyryrCPy586b54BV8HVfKyVx2pds0NXQMtLxR0VJW0durp3huoHf p1wZ9AcXRstZPWZun2VyetZUSqJqVbr9THqdNu9xrVaVSqITx3u9Pr34Sq0mtQTTulUHujbfDwfn AFgYtTgyvYnI+ukIdhhRhp2Wu9oNlErZcVqL6hOMnff74fvDUMGrQkqF0YmRFfru8Zx92wnkd+eq 644dg8f1q2YgH1ZEDiqZ/K27/pAGSIyL9rKfSTXtSTVRygtta5i+cuJG4tbuRqmEyF1xsCZoObCq mXGYsgJh75hamySBfPLJA45J6vd7XK1PBxFv0E6sqxwMElou4M47wtdLufj5ohfI8SCS24k2nqLb Hsf1fDDZGkgd48MfbuBT/g5K0U8YXIniR3OVJUyd9fUhLzNO3DdJsJgeH5/ogJThkNipzaqmEZ48 eSp37tyWRmObn7nodKXdbnNiM7aLo4DGbnNjQ4s2CcbJt6TRaEjroiO7B7c4d3AYhKy4OaMIvR9P mFuf6rJCaiWDXyC0BOiVA14tJAQdOT7jYSJ7Hc3dGlqOC89H1+4FwLS/7L4fuh3j5u/EqZwPYkXo ktfHYAITNvDEOSswRr+iZGfTjRS3K83jA+XGcDiQXqfD1+sYBR/G8vmrQJ5cBPIvW5k83Mzkr11h kyfkJzVlqnzWKfAnWPEYKlbQgKqhJKRsl6LIBmnwYeG76+dt3QCIvfP1j89T9CINHsLZSeNM9vZ2 JI4T+f70VJIwlnol5u4ODw9lf2+PfOsfHuxL66Irva0t2d7eJAodR6xs6GDSdNCXOAq17y+OpS6B bFdiejwossFA4Sv6XEN4VR4o0FtbEjMTm8FC/pfHsQLVhk2AgoGCUxCbJ4V/t6tClLtfPZ00pcj2 P1/o3++DENZQiUJ2ebf7CAnVq0HSOwdi5sYLHNbKK6QDBZTLfJoUWKsizCMQFDcojCWzfBXkpBfI 9wPF2PzirPj9Lx1dfe9VAyZE0U+FASy4wXj/224g92uYepJdTjzIab+KFtN2IT3vH43X260STtoN vBk8cPlMw/KtHMs33To4IPPn1vaWbuOcZdwukzAd0nsCpUu0vaU50TCUfobsfqTzCy3sY9W5hJMi LCcj8RD1nDzzXgUPFdMF4wU1cqrvRa8A23vwzGGmZlqMMSsbLhgq5KnQI3lYycjSQEpxA7DuxWhf QrL97U9QunYcFjytRPqSRLEMhpm0bLRSLw2YGKxIak3FgWzESoQ3aXy7Gyn+7pOkrWo4fnPdWOHT 3/c1x1EPMdRS5PftQm+hmF+cc4v8NST6keNqxFbRmZEDgdFCgtgTt6kRrGm/o6Jibpbxut6TLU8O mj/UtiEepUlDkNhCoRFm31IBKN+7keURWR6E0gtQadTKHz6D7TeTSIbdjrTaFwSPHnywLzEq0BP6 yOCho8jsLA08F3vd+wthR0DUdwEONR4XBaCAHhAwYfOEsrMknQDxiCyPdpCIPBuKfNEMeI18riK8 QXhd9TCTL96TcBASI0GNmWio3J2dNWVvd4dsiRtMvodE1zZMIWCgOIyBXECjOSGS7pXH249wqV9+ QfHu/RpwVcJx22g7eD0Ypb0dX0HgCg8rIrcrmVVV5s2nvHneBWFguS3oBkgO4Hy74tev3J4yexsH thQcUeXtNuC9mLfFfb+xIBZhKJP3qCTjoS5N1MHCRbhAtSq1aiL1+o7EldpUg5obiTH1weIHL4b5 JGCyfMEFKwmbL5RJAgUDn/aziODYxH4ZvnB8N6gK/s9pIE/benKHVUva05gVcxBwru+LxGfNpjx+ /Gt5+LOfyfPjY+l0uxw/9OjRzxn2lQ0TXHGlgS0N1cyV1lprPKl6RXfFm1z/EcNvg4ycPyjdej4N kr6BBta8lg0+WUiUbdQR9hmTuRzZZcZ3XN6lxP11hgFKsng15OckL9sFNEXtgRosRdgYp/7IDvzH FHR5qGj2izSU7cYuoQ6X3S7vxpjWFO1DWgnVYYuP/k1YgmQ0jhhxj/VynkEYk6TMLJFX+ey8EEU8 2lKmBqQ+/nVbc7vAWwHVftoX+ab7/oSDkLjXH8hHh4eSVCpSY8VF5NatA8W3WMik5V7zmqJQhnjP UOmQRY3UuGDrvSSTf4s1mf56oDkDVFEgyFn556Cc+4l+flU0J/weoAmxXBfCXsAukJzlI2o4sWWG Xq6brMp8O6CUDfNL7NTzYfM8xN5YPP2cQHOEjgxQDwcSAEQKO22gUvRu4Hxh2DDLcFqRyoKPiYwS eB863vRraQMwYKTgzSHy2I1FfrqpeSwey6qIO4nIY2z4HkmMysr+7i6v6O5OI8ej5PmlDF4HqF81 0U6PyiYbK3J9tR4HKoBwtZHodHTwboxpKtquQ0Q7X9N/WllyL2n5tYb5kQjYHAzKFKlvbsnm5ib/ 7nW70m41fzRYy/YTTrruBnGA95CEGHCyOIvZvNtwXbqEjFY9niLCYOjnyPe8IVlDsnhKaAiDBr3F e0S0j70P41OvFN8VUQO2cQ4wcF6hZxBdJJ81tMMDua0H9Uz++/Uovcz7IDHKu2WBx+UkeC4sBTsF DP4bwsNaPa4Ju//teSD/exYQ3YvVEm7wJ3WA5ITgOJ5jKvKglvE9pq/cuVvhzWP4YuHOycmJtFot ls4nhYnXIUtEwSs+idWdBS43+akC5E4BZM4WhhCwMD1jU3jpbKS2BHuZGZej38xzL+s5E/SBcc5b kFFmeSifrmsKKnl4GVW/vMWH0XQgO/Foq5CzmUL/vzoP5Itz0H1rgSnwKdeByLOLQP7QunYNeOvy /83nI1I8VstHAAAAAElFTkSuQmCC