20230515 11253100 1.0 FGDC CSDGM Metadata FALSE FFA_Project_Areas_Updated 002 file://\\LAPTOP-0T2RH73M\C$\projects\PC508_SBC\task\2024_BTA_Grant\data\FFA\FFA_CASF.gdb Local Area Network 0.000 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>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> Merge D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020 D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020_Merge "GEOID20 "Full Census Block Code" true true false 15 Text 0 0 ,First,#,D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020,GEOID20,-1,-1;NAMELSAD20 "Name" true true false 20 Text 0 0 ,First,#,D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020,NAMELSAD20,-1,-1;CNTYNAME20 "COUNTY" true true false 50 Text 0 0 ,First,#,D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020,CNTYNAME20,-1,-1;PLNAME20 "PLACE" true true false 50 Text 0 0 ,First,#,D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020,PLNAME20,-1,-1;ALAND20 "Land Area (Sqare Meters)" true true false 4 Long 0 0 ,First,#,D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020,ALAND20,-1,-1;AWATER20 "Water Area (Sqare Meters)" true true false 4 Long 0 0 ,First,#,D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020,AWATER20,-1,-1;SQMI_GIS "Area (Square Miles)" true true false 8 Double 0 0 ,First,#,D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020,SQMI_GIS,-1,-1;POP_2020 "Population 2020" true true false 8 Double 0 0 ,First,#,D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020,POP_2020,-1,-1;HH_2020 "Households 2020" true true false 8 Double 0 0 ,First,#,D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020,HH_2020,-1,-1;HU_2020 "Housing Units 2020" true true false 8 Double 0 0 ,First,#,D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020,HU_2020,-1,-1;STATUS "Fixed Broadband Served Status" true true false 50 Text 0 0 ,First,#,D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020,STATUS,-1,-1;ELIGIBLE "CASF Eligibility" true true false 25 Text 0 0 ,First,#,D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020,ELIGIBLE,-1,-1;POP_DENS "Population per Square Mile" true true false 8 Double 0 0 ,First,#,D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020,POP_DENS,-1,-1;HH_DENS "Households per Square Mile" true true false 8 Double 0 0 ,First,#,D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020,HH_DENS,-1,-1;HU_DENS "Housing Units per Square Mile" true true false 8 Double 0 0 ,First,#,D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020,HU_DENS,-1,-1;HU_RANGE "Housing Unit Range" true true false 25 Text 0 0 ,First,#,D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020,HU_RANGE,-1,-1" Append D:\PROJECTS\CPUC_2021\RESOURCES\Census_2020_GIC_Master.gdb\Census_2020_Blocks_GIC_Master_NoCoast D:\PROJECTS\CPUC_2021\LAYERS\WEB\CPUC_WEB_2021.gdb\Political_Boundaries\Census_Blocks_2020_Merge NO_TEST "GEOID20 "Full Census Block Code" true true false 15 Text 0 0 ,First,#,D:\PROJECTS\CPUC_2021\RESOURCES\Census_2020_GIC_Master.gdb\Census_2020_Blocks_GIC_Master_NoCoast,GEOID20,-1,-1;NAMELSAD20 "Name" true true false 20 Text 0 0 ,First,#,D:\PROJECTS\CPUC_2021\RESOURCES\Census_2020_GIC_Master.gdb\Census_2020_Blocks_GIC_Master_NoCoast,NAME20,-1,-1;CNTYNAME20 "COUNTY" true true false 50 Text 0 0 ,First,#,D:\PROJECTS\CPUC_2021\RESOURCES\Census_2020_GIC_Master.gdb\Census_2020_Blocks_GIC_Master_NoCoast,CNTYNAME20,-1,-1;PLNAME20 "PLACE" true true false 50 Text 0 0 ,First,#,D:\PROJECTS\CPUC_2021\RESOURCES\Census_2020_GIC_Master.gdb\Census_2020_Blocks_GIC_Master_NoCoast,PLNAME20,-1,-1;ALAND20 "Land Area (Sqare Meters)" true true false 4 Long 0 0 ,First,#,D:\PROJECTS\CPUC_2021\RESOURCES\Census_2020_GIC_Master.gdb\Census_2020_Blocks_GIC_Master_NoCoast,ALAND20,-1,-1;AWATER20 "Water Area (Sqare Meters)" true true false 4 Long 0 0 ,First,#,D:\PROJECTS\CPUC_2021\RESOURCES\Census_2020_GIC_Master.gdb\Census_2020_Blocks_GIC_Master_NoCoast,AWATER20,-1,-1;SQMI_GIS "Area (Square Miles)" true true false 8 Double 0 0 ,First,#;POP_2020 "Population 2020" true true false 8 Double 0 0 ,First,#,D:\PROJECTS\CPUC_2021\RESOURCES\Census_2020_GIC_Master.gdb\Census_2020_Blocks_GIC_Master_NoCoast,POP2020,-1,-1;HH_2020 "Households 2020" true true false 8 Double 0 0 ,First,#,D:\PROJECTS\CPUC_2021\RESOURCES\Census_2020_GIC_Master.gdb\Census_2020_Blocks_GIC_Master_NoCoast,HH2020,-1,-1;HU_2020 "Housing Units 2020" true true false 8 Double 0 0 ,First,#,D:\PROJECTS\CPUC_2021\RESOURCES\Census_2020_GIC_Master.gdb\Census_2020_Blocks_GIC_Master_NoCoast,HH2020,-1,-1;STATUS "Fixed Broadband Served Status" true true false 50 Text 0 0 ,First,#;ELIGIBLE "CASF Eligibility" true true false 25 Text 0 0 ,First,#;POP_DENS "Population per Square Mile" true true false 8 Double 0 0 ,First,#;HH_DENS "Households per Square Mile" true true false 8 Double 0 0 ,First,#;HU_DENS "Housing Units per Square Mile" true true false 8 Double 0 0 ,First,#;HU_RANGE "Housing Unit Range" true true false 25 Text 0 0 ,First,#;Shape_Length "Shape_Length" false true true 8 Double 0 0 ,First,#,D:\PROJECTS\CPUC_2021\RESOURCES\Census_2020_GIC_Master.gdb\Census_2020_Blocks_GIC_Master_NoCoast,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0 ,First,#,D:\PROJECTS\CPUC_2021\RESOURCES\Census_2020_GIC_Master.gdb\Census_2020_Blocks_GIC_Master_NoCoast,Shape_Area,-1,-1" # CalculateField Census_Blocks_2020 POP_DENS 0 VB # CalculateField Census_Blocks_2020 POP_DENS round( !POP_2020! / !SQMI_GIS!,1) PYTHON_9.3 # CalculateField Census_Blocks_2020 HH_DENS round( !HH_2020! / !SQMI_GIS!,1) PYTHON_9.3 # CalculateField Census_Blocks_2020 HU_DENS round( !HU_2020! / !SQMI_GIS!,1) PYTHON_9.3 # CalculateField Census_Blocks_2020 HU_RANGE hurange( !HU_DENS!) PYTHON_9.3 "def hurange(x): if x ==0: return "0" elif x > 0 and x < 5: return "1 - 5" elif x >=5 and x < 10: return "5 - 10" elif x >=10 and x < 50: return "10 - 50" elif x >=50 and x < 150: return "50 - 150" elif x>= 150 and x < 300: return "150 - 300" elif x>=300: return "300 or greater" " CalculateField Census_Blocks_2020 PLNAME20 "" VB # CalculateField Census_Blocks_2020 ELIGIBLE "Ineligible" VB # CalculateField Census_Blocks_2020 ELIGIBLE "Eligible" VB # CalculateField Census_Blocks_2020 ELIGIBLE "Unpopulated" VB # JoinField Census_Blocks_2020 GEOID20 Downsteam_Deployment_Consumer_Fixed GEOID20 MaxAdDn CalculateField Census_Blocks_2020 STATUS "Unserved < 25 Mbps Down / 3 Mbps Up" VB # CalculateField Census_Blocks_2020 STATUS "Priority Unserved < 10 Mbps Down / 1 Mbps Up" VB # CalculateField "Census Blocks" ELIGIBLE "Priority Eligible" "Python 3" # Text CalculateField Census_Blocks_2020 HU_DENS round(!HU_2020! / !SQMI_GIS!,1) "Python 3" # Text CalculateField "Census Blocks" HU_RANGE hurange( !HU_DENS!) "Python 3" "def hurange(x): if x ==0: return "0" elif x > 0 and x < 5: return "1 - 5" elif x >=5 and x < 10: return "5 - 10" elif x >=10 and x < 50: return "10 - 50" elif x >=50 and x < 150: return "50 - 150" elif x>= 150 and x < 300: return "150 - 300" elif x>=300: return "300 or greater"" Text CalculateField "Census Blocks 2020 - Excluded Areas " ELIGIBLE ""Eligible" or "Priority Eligible"" "Python 3" # Text NO_ENFORCE_DOMAINS UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/3.1.0'><FeatureDataset>CENSUS</FeatureDataset><WorkspaceConnectionString>DATABASE=D:\FFA\CPUC_WEB_2021.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Census_Blocks_2020</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>ACAT_ALL</field_name><field_type>SHORT</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>ACAT_253</field_name><field_type>SHORT</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> ExportFeatures Census_Blocks_2020 C:\Users\jykst\Documents\ArcGIS\Projects\FFA_FCC\FFA_FCC.gdb\Census_Blocks_2020_ExportFeature # NOT_USE_ALIAS "GEOID20 "Full Census Block Code" true true false 15 Text 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.GEOID20,0,15;NAMELSAD20 "Name" true true false 20 Text 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.NAMELSAD20,0,20;CNTYNAME20 "COUNTY" true true false 50 Text 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.CNTYNAME20,0,50;PLNAME20 "PLACE" true true false 50 Text 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.PLNAME20,0,50;ALAND20 "Land Area (Sqare Meters)" true true false 4 Long 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.ALAND20,-1,-1;AWATER20 "Water Area (Sqare Meters)" true true false 4 Long 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.AWATER20,-1,-1;SQMI_GIS "Area (Square Miles)" true true false 8 Double 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.SQMI_GIS,-1,-1;POP_2020 "Population 2020" true true false 8 Double 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.POP_2020,-1,-1;HH_2020 "Households 2020" true true false 8 Double 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.HH_2020,-1,-1;HU_2020 "Housing Units 2020" true true false 8 Double 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.HU_2020,-1,-1;STATUS "Fixed Broadband Served Status" true true false 50 Text 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.STATUS,0,50;ELIGIBLE "CASF Eligibility" true true false 25 Text 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.ELIGIBLE,0,25;POP_DENS "Population per Square Mile" true true false 8 Double 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.POP_DENS,-1,-1;HH_DENS "Households per Square Mile" true true false 8 Double 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.HH_DENS,-1,-1;HU_DENS "Housing Units per Square Mile" true true false 8 Double 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.HU_DENS,-1,-1;HU_RANGE "Housing Unit Range" true true false 25 Text 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.HU_RANGE,0,25;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.Shape_Area,-1,-1;MaxAdDn "Maximum Advertised Downstream Speed (Mbps)" true true false 8 Double 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.MaxAdDn,-1,-1;ACAT_ALL "Consumer Connections Exceeding 200 Kbps in at least one Direction" true true false 2 Short 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.ACAT_ALL,-1,-1;ACAT_253 "Consumer Connections at Served Speeds (25/3)" true true false 2 Short 0 0,First,#,Census_Blocks_2020,Census_Blocks_2020.ACAT_253,-1,-1;OBJECTID "OBJECTID" false true false 4 Long 0 9,First,#,Census_Blocks_2020,Served_Status_Consumer_Fixed.OBJECTID,-1,-1;GEOID20 "GEOID20" true true false 15 Text 0 0,First,#,Census_Blocks_2020,Served_Status_Consumer_Fixed.GEOID20,0,15;fStat "fStat" true true false 4 Long 0 0,First,#,Census_Blocks_2020,Served_Status_Consumer_Fixed.fStat,-1,-1;Status "Status" true true false 255 Text 0 0,First,#,Census_Blocks_2020,Served_Status_Consumer_Fixed.Status,0,255;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Census_Blocks_2020,Served_Status_Consumer_Fixed.Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Census_Blocks_2020,Served_Status_Consumer_Fixed.Shape_Area,-1,-1" # CalculateField "Census_Blocks_2020_ExportFeature Null_Geoid20" STATUS "Priority Unserved < 10 Mbps Down / 1 Mbps Up" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Census_Blocks_2020_ExportFeature Null_Geoid20" STATUS "Priority Unserved" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Census_Blocks_2020_ExportFeature Null_Geoid20" ELIGIBLE "Unpopulated" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField Census_Blocks_2020_ExportFeature STATUS !Status_1! "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField Census_Blocks_2020_ExportFeature STATUS "Priority Unserved < 10 Mbps Down / 1 Mbps Up" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField Census_Blocks_2020_ExportFeature Status_1 "Priority Unserved < 10 Mbps Down / 1 Mbps Up" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField Census_Blocks_2020_ExportFeature ELIGIBLE "Ineligible" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField Census_Blocks_2020_ExportFeature ELIGIBLE "Eligible" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField Census_Blocks_2020_ExportFeature STATUS "Priority Unserved <= 10 Mbps Down / 1 Mbps Up" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField Census_Blocks_2020_ExportFeature ELIGIBLE "Priority Eligible" "Python 3" # 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/3.1.0'><WorkspaceConnectionString>DATABASE=C:\Users\jykst\Documents\ArcGIS\Projects\FFA_FCC\FFA_FCC.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Census_Blocks_2020_ExportFeature</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>OBJECTID</field_name><field_name>GEOID20_1</field_name><field_name>fStat</field_name><field_name>Status_1</field_name><field_name>Shape_Length_1</field_name><field_name>Shape_Area_1</field_name></DeleteField></workflow></operationSequence> CopyFeatures Census_Blocks_2020_ExportFeature D:\Census_Blocks_2020.gdb\Census_Blocks_2020_ExportFeature # # # # FeatureClassToFeatureClass Census_Blocks_2020 Y:\CPUC_WEB\DATA\CPUC_WEB_2022.gdb\CENSUS Census_Blocks_2020 # "GEOID20 "Full Census Block Code" true true false 15 Text 0 0,First,#,Census_Blocks_2020,GEOID20,0,15;NAMELSAD20 "Name" true true false 20 Text 0 0,First,#,Census_Blocks_2020,NAMELSAD20,0,20;CNTYNAME20 "COUNTY" true true false 50 Text 0 0,First,#,Census_Blocks_2020,CNTYNAME20,0,50;PLNAME20 "PLACE" true true false 50 Text 0 0,First,#,Census_Blocks_2020,PLNAME20,0,50;ALAND20 "Land Area (Sqare Meters)" true true false 4 Long 0 0,First,#,Census_Blocks_2020,ALAND20,-1,-1;AWATER20 "Water Area (Sqare Meters)" true true false 4 Long 0 0,First,#,Census_Blocks_2020,AWATER20,-1,-1;SQMI_GIS "Area (Square Miles)" true true false 8 Double 0 0,First,#,Census_Blocks_2020,SQMI_GIS,-1,-1;POP_2020 "Population 2020" true true false 8 Double 0 0,First,#,Census_Blocks_2020,POP_2020,-1,-1;HH_2020 "Households 2020" true true false 8 Double 0 0,First,#,Census_Blocks_2020,HH_2020,-1,-1;HU_2020 "Housing Units 2020" true true false 8 Double 0 0,First,#,Census_Blocks_2020,HU_2020,-1,-1;STATUS "Fixed Broadband Served Status" true true false 50 Text 0 0,First,#,Census_Blocks_2020,STATUS,0,50;ELIGIBLE "CASF Eligibility" true true false 25 Text 0 0,First,#,Census_Blocks_2020,ELIGIBLE,0,25;POP_DENS "Population per Square Mile" true true false 8 Double 0 0,First,#,Census_Blocks_2020,POP_DENS,-1,-1;HH_DENS "Households per Square Mile" true true false 8 Double 0 0,First,#,Census_Blocks_2020,HH_DENS,-1,-1;HU_DENS "Housing Units per Square Mile" true true false 8 Double 0 0,First,#,Census_Blocks_2020,HU_DENS,-1,-1;HU_RANGE "Housing Unit Range" true true false 25 Text 0 0,First,#,Census_Blocks_2020,HU_RANGE,0,25;MaxAdDn "Maximum Advertised Downstream Speed (Mbps)" true true false 8 Double 0 0,First,#,Census_Blocks_2020,MaxAdDn,-1,-1;ACAT_ALL "Consumer Connections Exceeding 200 Kbps in at least one Direction" true true false 2 Short 0 0,First,#,Census_Blocks_2020,ACAT_ALL,-1,-1;ACAT_253 "Consumer Connections at Served Speeds (25/3)" true true false 2 Short 0 0,First,#,Census_Blocks_2020,ACAT_253,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Census_Blocks_2020,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Census_Blocks_2020,Shape_Area,-1,-1" # AssignDomainToField E:\Projects\2022\CPUC_WEB_2022.gdb\CENSUS\Census_Blocks_2020 ACAT_ALL "Adoption Rate" # AssignDomainToField E:\Projects\2022\CPUC_WEB_2022.gdb\CENSUS\Census_Blocks_2020 ACAT_253 "Adoption Rate" # UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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/3.1.0'><FeatureDataset>CENSUS</FeatureDataset><WorkspaceConnectionString>DATABASE=E:\Projects\2022\CPUC_WEB_2022.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Census_Blocks_2020</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>CASF_EL_LOC</field_name><field_type>LONG</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>CASF_PE_LOC</field_name><field_type>LONG</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField Census_Blocks_2020 STATUS "Priority Unserved <= 10 Mbps Down / 1 Mbps Up" "Python 3" # Text NO_ENFORCE_DOMAINS CopyMultiple "D:\Hayley\CPUC_WEB_2022.gdb\CPUC_WEB_2022.gdb\CENSUS\Census_Blocks_2020 FeatureClass" D:\Hayley\Census_Blocks2020.gdb Census_Blocks_2020 "Census_Blocks_2020 FeatureClass Census_Blocks_2020 #" 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/3.1.0'><WorkspaceConnectionString>DATABASE=D:\Census_Blocks2020.gdb (1)\Census_Blocks2020.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Census_Blocks_2020</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Geoid_num</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField Census_Blocks_2020 Geoid_num !GEOID20! "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField Census_Blocks_2020 GEOID20 !GEOID20!.lstrip("0") "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField Census_Blocks_2020 GEOID20 "0"+str(!GEOID20!) "Python 3" # 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/3.1.0'><WorkspaceConnectionString>DATABASE=D:\Census_Blocks2020.gdb (1)\Census_Blocks2020.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Census_Blocks_2020</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>Geoid_num</field_name></DeleteField></workflow></operationSequence> ExportFeatures Census_Blocks_2020 D:\NTIA_Master_Cleaned.gdb\Census_Block_2020 # NOT_USE_ALIAS "GEOID20 "Full Census Block Code" true true false 15 Text 0 0,First,#,Census_Blocks_2020,GEOID20,0,15;NAMELSAD20 "Name" true true false 20 Text 0 0,First,#,Census_Blocks_2020,NAMELSAD20,0,20;CNTYNAME20 "COUNTY" true true false 50 Text 0 0,First,#,Census_Blocks_2020,CNTYNAME20,0,50;PLNAME20 "PLACE" true true false 50 Text 0 0,First,#,Census_Blocks_2020,PLNAME20,0,50;ALAND20 "Land Area (Sqare Meters)" true true false 4 Long 0 0,First,#,Census_Blocks_2020,ALAND20,-1,-1;AWATER20 "Water Area (Sqare Meters)" true true false 4 Long 0 0,First,#,Census_Blocks_2020,AWATER20,-1,-1;SQMI_GIS "Area (Square Miles)" true true false 8 Double 0 0,First,#,Census_Blocks_2020,SQMI_GIS,-1,-1;POP_2020 "Population 2020" true true false 8 Double 0 0,First,#,Census_Blocks_2020,POP_2020,-1,-1;HH_2020 "Households 2020" true true false 8 Double 0 0,First,#,Census_Blocks_2020,HH_2020,-1,-1;HU_2020 "Housing Units 2020" true true false 8 Double 0 0,First,#,Census_Blocks_2020,HU_2020,-1,-1;STATUS "Fixed Broadband Served Status" true true false 50 Text 0 0,First,#,Census_Blocks_2020,STATUS,0,50;ELIGIBLE "CASF Eligibility" true true false 25 Text 0 0,First,#,Census_Blocks_2020,ELIGIBLE,0,25;POP_DENS "Population per Square Mile" true true false 8 Double 0 0,First,#,Census_Blocks_2020,POP_DENS,-1,-1;HH_DENS "Households per Square Mile" true true false 8 Double 0 0,First,#,Census_Blocks_2020,HH_DENS,-1,-1;HU_DENS "Housing Units per Square Mile" true true false 8 Double 0 0,First,#,Census_Blocks_2020,HU_DENS,-1,-1;HU_RANGE "Housing Unit Range" true true false 25 Text 0 0,First,#,Census_Blocks_2020,HU_RANGE,0,25;MaxAdDn "Maximum Advertised Downstream Speed (Mbps)" true true false 8 Double 0 0,First,#,Census_Blocks_2020,MaxAdDn,-1,-1;ACAT_ALL "Consumer Connections Exceeding 200 Kbps in at least one Direction" true true false 2 Short 0 0,First,#,Census_Blocks_2020,ACAT_ALL,-1,-1;ACAT_253 "Consumer Connections at Served Speeds (25/3)" true true false 2 Short 0 0,First,#,Census_Blocks_2020,ACAT_253,-1,-1;CASF_EL_LOC "CASF_EL_LOC" true true false 4 Long 0 0,First,#,Census_Blocks_2020,CASF_EL_LOC,-1,-1;CASF_PE_LOC "CASF_PE_LOC" true true false 4 Long 0 0,First,#,Census_Blocks_2020,CASF_PE_LOC,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Census_Blocks_2020,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Census_Blocks_2020,Shape_Area,-1,-1" # ExportFeatures Census_Block_2020 C:\Users\jykst\Documents\ArcGIS\Projects\FFA_Vitro\FFA_Vitro.gdb\Census_Block_FinalVersion # NOT_USE_ALIAS "GEOID20 "Full Census Block Code" true true false 15 Text 0 0,First,#,Census_Block_2020,Census_Block_2020.GEOID20,0,15;NAMELSAD20 "Name" true true false 20 Text 0 0,First,#,Census_Block_2020,Census_Block_2020.NAMELSAD20,0,20;CNTYNAME20 "COUNTY" true true false 50 Text 0 0,First,#,Census_Block_2020,Census_Block_2020.CNTYNAME20,0,50;PLNAME20 "PLACE" true true false 50 Text 0 0,First,#,Census_Block_2020,Census_Block_2020.PLNAME20,0,50;ALAND20 "Land Area (Sqare Meters)" true true false 4 Long 0 0,First,#,Census_Block_2020,Census_Block_2020.ALAND20,-1,-1;AWATER20 "Water Area (Sqare Meters)" true true false 4 Long 0 0,First,#,Census_Block_2020,Census_Block_2020.AWATER20,-1,-1;SQMI_GIS "Area (Square Miles)" true true false 8 Double 0 0,First,#,Census_Block_2020,Census_Block_2020.SQMI_GIS,-1,-1;POP_2020 "Population 2020" true true false 8 Double 0 0,First,#,Census_Block_2020,Census_Block_2020.POP_2020,-1,-1;HH_2020 "Households 2020" true true false 8 Double 0 0,First,#,Census_Block_2020,Census_Block_2020.HH_2020,-1,-1;HU_2020 "Housing Units 2020" true true false 8 Double 0 0,First,#,Census_Block_2020,Census_Block_2020.HU_2020,-1,-1;STATUS "Fixed Broadband Served Status" true true false 50 Text 0 0,First,#,Census_Block_2020,Census_Block_2020.STATUS,0,50;ELIGIBLE "CASF Eligibility" true true false 25 Text 0 0,First,#,Census_Block_2020,Census_Block_2020.ELIGIBLE,0,25;POP_DENS "Population per Square Mile" true true false 8 Double 0 0,First,#,Census_Block_2020,Census_Block_2020.POP_DENS,-1,-1;HH_DENS "Households per Square Mile" true true false 8 Double 0 0,First,#,Census_Block_2020,Census_Block_2020.HH_DENS,-1,-1;HU_DENS "Housing Units per Square Mile" true true false 8 Double 0 0,First,#,Census_Block_2020,Census_Block_2020.HU_DENS,-1,-1;HU_RANGE "Housing Unit Range" true true false 25 Text 0 0,First,#,Census_Block_2020,Census_Block_2020.HU_RANGE,0,25;MaxAdDn "Maximum Advertised Downstream Speed (Mbps)" true true false 8 Double 0 0,First,#,Census_Block_2020,Census_Block_2020.MaxAdDn,-1,-1;ACAT_ALL "Consumer Connections Exceeding 200 Kbps in at least one Direction" true true false 2 Short 0 0,First,#,Census_Block_2020,Census_Block_2020.ACAT_ALL,-1,-1;ACAT_253 "Consumer Connections at Served Speeds (25/3)" true true false 2 Short 0 0,First,#,Census_Block_2020,Census_Block_2020.ACAT_253,-1,-1;CASF_EL_LOC "CASF_EL_LOC" true true false 4 Long 0 0,First,#,Census_Block_2020,Census_Block_2020.CASF_EL_LOC,-1,-1;CASF_PE_LOC "CASF_PE_LOC" true true false 4 Long 0 0,First,#,Census_Block_2020,Census_Block_2020.CASF_PE_LOC,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Census_Block_2020,Census_Block_2020.Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Census_Block_2020,Census_Block_2020.Shape_Area,-1,-1;OBJECTID "OBJECTID" false true false 4 Long 0 9,First,#,Census_Block_2020,Final_CB.OBJECTID,-1,-1;Company_Applicant "Company Applicant" true true false 8000 Text 0 0,First,#,Census_Block_2020,Final_CB.Company_Applicant,0,8000;Project_Title "Project_Title" true true false 8000 Text 0 0,First,#,Census_Block_2020,Final_CB.Project_Title,0,8000;Census_Blo "Census_Blo" true true false 8 Double 0 0,First,#,Census_Block_2020,Final_CB.Census_Blo,-1,-1;County "County" true true false 8000 Text 0 0,First,#,Census_Block_2020,Final_CB.County,0,8000;Plan_ID "Plan_ID" true true false 4 Long 0 0,First,#,Census_Block_2020,Final_CB.Plan_ID,-1,-1;CB_TEXT "CB_TEXT" true true false 255 Text 0 0,First,#,Census_Block_2020,Final_CB.CB_TEXT,0,255" # 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/3.1.0'><WorkspaceConnectionString>DATABASE=C:\Users\jykst\Documents\ArcGIS\Projects\FFA_Vitro\FFA_Vitro.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Census_Block_FinalVersion</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>NAMELSAD20</field_name><field_name>CNTYNAME20</field_name><field_name>PLNAME20</field_name><field_name>ALAND20</field_name><field_name>AWATER20</field_name><field_name>SQMI_GIS</field_name><field_name>POP_2020</field_name><field_name>HH_2020</field_name><field_name>HU_2020</field_name><field_name>STATUS</field_name><field_name>ELIGIBLE</field_name><field_name>POP_DENS</field_name><field_name>HH_DENS</field_name><field_name>HU_DENS</field_name><field_name>HU_RANGE</field_name><field_name>MaxAdDn</field_name><field_name>ACAT_ALL</field_name><field_name>ACAT_253</field_name><field_name>CASF_EL_LOC</field_name><field_name>CASF_PE_LOC</field_name><field_name>OBJECTID</field_name><field_name>CB_TEXT</field_name></DeleteField></workflow></operationSequence> Dissolve Census_Block_FinalVersion C:\Users\jykst\Documents\ArcGIS\Projects\FFA_Vitro\FFA_Vitro.gdb\Census_Block_FinalV_Dissolve Plan_ID;Company_Applicant;Project_Title # MULTI_PART DISSOLVE_LINES # ExportFeatures Census_Block_FinalV_Dissolve C:\Users\jykst\Documents\ArcGIS\Projects\MyProject3\MyProject3.gdb\FFA_ProjectAreas # NOT_USE_ALIAS "Company_Applicant "Company Applicant" true true false 8000 Text 0 0,First,#,Census_Block_FinalV_Dissolve,Census_Block_FinalV_Dissolve.Company_Applicant,0,8000;Project_Title "Project_Title" true true false 8000 Text 0 0,First,#,Census_Block_FinalV_Dissolve,Census_Block_FinalV_Dissolve.Project_Title,0,8000;Plan_ID "Plan_ID" true true false 4 Long 0 0,First,#,Census_Block_FinalV_Dissolve,Census_Block_FinalV_Dissolve.Plan_ID,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Census_Block_FinalV_Dissolve,Census_Block_FinalV_Dissolve.Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Census_Block_FinalV_Dissolve,Census_Block_FinalV_Dissolve.Shape_Area,-1,-1;OBJECTID "OBJECTID" false true false 4 Long 0 9,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.OBJECTID,-1,-1;F1 "1" true true false 8 Double 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.F1,-1,-1;Application__Project_Name "Application: Project Name" true true false 255 Text 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Application__Project_Name,0,255;Company_Applicant_Name "Company Applicant Name" true true false 255 Text 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Company_Applicant_Name,0,255;CPCN_U_Number "CPCN/U-Number" true true false 255 Text 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.CPCN_U_Number,0,255;Contact_Person "Contact Person" true true false 255 Text 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Contact_Person,0,255;Contact_Email "Contact Email" true true false 255 Text 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Contact_Email,0,255;Contact_Position "Contact Position" true true false 255 Text 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Contact_Position,0,255;Project_Title "Project Title" true true false 255 Text 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Project_Title,0,255;Amount_of_FFA_grant_funding_req "Amount of FFA grant funding requested" true true false 8 Double 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Amount_of_FFA_grant_funding_req,-1,-1;Project_Cost "Project Cost" true true false 8 Double 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Project_Cost,-1,-1;Median_Household_Income "Median Household Income" true true false 8 Double 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Median_Household_Income,-1,-1;Number_of_Business_Locations "Number of Business Locations" true true false 8 Double 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Number_of_Business_Locations,-1,-1;Number_of_Anchor_Institutions "Number of Anchor Institutions" true true false 8 Double 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Number_of_Anchor_Institutions,-1,-1;Number_of_Public_Safety_Locatio "Number of Public Safety Locations" true true false 8 Double 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Number_of_Public_Safety_Locatio,-1,-1;Number_of_Unserved_Households "Number of Unserved Households" true true false 8 Double 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Number_of_Unserved_Households,-1,-1;Max_mbps_down___Unserved_locati "Max mbps down + Unserved locations" true true false 8 Double 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Max_mbps_down___Unserved_locati,-1,-1;Max_Mbps_Upload_Speed "Max Mbps Upload Speed" true true false 8 Double 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Max_Mbps_Upload_Speed,-1,-1;Number_of_Mass_Market_Unserved_ "Number of Mass Market Unserved Locations" true true false 8 Double 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Number_of_Mass_Market_Unserved_,-1,-1;Description_of_the_major_infras "Description of the major infrastructure" true true false 255 Text 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Description_of_the_major_infras,0,255;Estimated_Breakdown_of_Aerial "Estimated Breakdown of Aerial" true true false 255 Text 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Estimated_Breakdown_of_Aerial,0,255;Major_Equipment_Expenses "Major Equipment Expenses" true true false 255 Text 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Major_Equipment_Expenses,0,255;Estimated_project_plan_with_maj "Estimated project plan with major milest" true true false 255 Text 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Estimated_project_plan_with_maj,0,255;DescProposedBroadbandPlan "DescProposedBroadbandPlan" true true false 255 Text 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.DescProposedBroadbandPlan,0,255;Application_Submitted_Date "Application Submitted Date" true true false 8 Date 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Application_Submitted_Date,-1,-1;Funding_Opportunity "Funding Opportunity" true true false 255 Text 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Funding_Opportunity,0,255;Status "Status" true true false 255 Text 0 0,First,#,Census_Block_FinalV_Dissolve,T_ProjectSummari_ExportTable.Status,0,255" # 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/3.1.0'><WorkspaceConnectionString>DATABASE=C:\Users\jykst\Documents\ArcGIS\Projects\MyProject3\MyProject3.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>FFA_ProjectAreas</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>Company_Applicant</field_name><field_name>Project_Title</field_name><field_name>Plan_ID</field_name><field_name>OBJECTID</field_name></DeleteField></workflow></operationSequence> 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/3.1.0'><WorkspaceConnectionString>DATABASE=C:\Users\jykst\Documents\ArcGIS\Projects\MyProject3\MyProject3.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>FFA_ProjectAreas</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>F1</field_name><new_field_name>Plan_ID</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> CopyFeatures FFA_ProjectAreas C:\Users\jykst\Documents\FFA_ProjectAreas_fixed.gdb\FFA_ProjectAreas # # # # 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/3.1.0'><WorkspaceConnectionString>DATABASE=C:\Users\jykst\Documents\FFA_ProjectAreas_fixed.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>FFA_ProjectAreas</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>Application__Project_Name</field_name></DeleteField></workflow></operationSequence> ExportFeatures FFA_ProjectAreas D:\Public_Files_For_Vetro\FFA_ProjectAreas.shp # NOT_USE_ALIAS "Plan_ID "Plan_ID" true true false 8 Double 0 0,First,#,FFA_ProjectAreas,Plan_ID,-1,-1;Company_Applicant_Name "Company Applicant Name" true true false 255 Text 0 0,First,#,FFA_ProjectAreas,Company_Applicant_Name,0,255;CPCN_U_Number "CPCN/U-Number" true true false 255 Text 0 0,First,#,FFA_ProjectAreas,CPCN_U_Number,0,255;Contact_Person "Contact Person" true true false 255 Text 0 0,First,#,FFA_ProjectAreas,Contact_Person,0,255;Contact_Email "Contact Email" true true false 255 Text 0 0,First,#,FFA_ProjectAreas,Contact_Email,0,255;Contact_Position "Contact Position" true true false 255 Text 0 0,First,#,FFA_ProjectAreas,Contact_Position,0,255;Project_Title_1 "Project Title" true true false 255 Text 0 0,First,#,FFA_ProjectAreas,Project_Title_1,0,255;Amount_of_FFA_grant_funding_req "Amount of FFA grant funding requested" true true false 8 Double 0 0,First,#,FFA_ProjectAreas,Amount_of_FFA_grant_funding_req,-1,-1;Project_Cost "Project Cost" true true false 8 Double 0 0,First,#,FFA_ProjectAreas,Project_Cost,-1,-1;Median_Household_Income "Median Household Income" true true false 8 Double 0 0,First,#,FFA_ProjectAreas,Median_Household_Income,-1,-1;Number_of_Business_Locations "Number of Business Locations" true true false 8 Double 0 0,First,#,FFA_ProjectAreas,Number_of_Business_Locations,-1,-1;Number_of_Anchor_Institutions "Number of Anchor Institutions" true true false 8 Double 0 0,First,#,FFA_ProjectAreas,Number_of_Anchor_Institutions,-1,-1;Number_of_Public_Safety_Locatio "Number of Public Safety Locations" true true false 8 Double 0 0,First,#,FFA_ProjectAreas,Number_of_Public_Safety_Locatio,-1,-1;Number_of_Unserved_Households "Number of Unserved Households" true true false 8 Double 0 0,First,#,FFA_ProjectAreas,Number_of_Unserved_Households,-1,-1;Max_mbps_down___Unserved_locati "Max mbps down + Unserved locations" true true false 8 Double 0 0,First,#,FFA_ProjectAreas,Max_mbps_down___Unserved_locati,-1,-1;Max_Mbps_Upload_Speed "Max Mbps Upload Speed" true true false 8 Double 0 0,First,#,FFA_ProjectAreas,Max_Mbps_Upload_Speed,-1,-1;Number_of_Mass_Market_Unserved_ "Number of Mass Market Unserved Locations" true true false 8 Double 0 0,First,#,FFA_ProjectAreas,Number_of_Mass_Market_Unserved_,-1,-1;Description_of_the_major_infras "Description of the major infrastructure" true true false 255 Text 0 0,First,#,FFA_ProjectAreas,Description_of_the_major_infras,0,255;Estimated_Breakdown_of_Aerial "Estimated Breakdown of Aerial" true true false 255 Text 0 0,First,#,FFA_ProjectAreas,Estimated_Breakdown_of_Aerial,0,255;Major_Equipment_Expenses "Major Equipment Expenses" true true false 255 Text 0 0,First,#,FFA_ProjectAreas,Major_Equipment_Expenses,0,255;Estimated_project_plan_with_maj "Estimated project plan with major milest" true true false 255 Text 0 0,First,#,FFA_ProjectAreas,Estimated_project_plan_with_maj,0,255;DescProposedBroadbandPlan "DescProposedBroadbandPlan" true true false 255 Text 0 0,First,#,FFA_ProjectAreas,DescProposedBroadbandPlan,0,255;Application_Submitted_Date "Application Submitted Date" true true false 8 Date 0 0,First,#,FFA_ProjectAreas,Application_Submitted_Date,-1,-1;Funding_Opportunity "Funding Opportunity" true true false 255 Text 0 0,First,#,FFA_ProjectAreas,Funding_Opportunity,0,255;Status "Status" true true false 255 Text 0 0,First,#,FFA_ProjectAreas,Status,0,255;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,FFA_ProjectAreas,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,FFA_ProjectAreas,Shape_Area,-1,-1" # 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/3.1.0'><WorkspaceConnectionString>DATABASE=D:\Public_Files_For_Vetro</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>FFA_ProjectAreas.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>Descriptio</field_name><field_name>Estimated_</field_name><field_name>Major_Equi</field_name><field_name>Estimated1</field_name><field_name>DescPropos</field_name></DeleteField></workflow></operationSequence> 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/3.1.0'><WorkspaceConnectionString>DATABASE=D:\Public_Files_For_Vetro</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>FFA_ProjectAreas.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>Applicatio</field_name><field_is_nullable>False</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> 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/3.1.0'><WorkspaceConnectionString>DATABASE=D:\Public_Files_For_Vetro</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>FFA_ProjectAreas.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>Applicatio</field_name><field_is_nullable>False</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> 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/3.1.0'><WorkspaceConnectionString>DATABASE=D:\Public_Files_For_Vetro</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>FFA_ProjectAreas.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>Applicatio</field_name><field_is_nullable>False</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> 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/3.1.0'><WorkspaceConnectionString>DATABASE=D:\Public_Files_For_Vetro</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>FFA_ProjectAreas.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>Applicatio</field_name><field_is_nullable>False</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> 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/3.1.0'><WorkspaceConnectionString>DATABASE=D:\Public_Files_For_Vetro</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>FFA_ProjectAreas.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>Applicatio</field_name><field_is_nullable>False</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> Merge FFA_ProjectAreas_SHP D:\Shapefiles\FFA_Project_Areas.shp "PID "PID" true true false 19 Double 0 0,First,#,FFA_ProjectAreas_SHP,Plan_ID,-1,-1;Applicant "Applicant" true true false 254 Text 0 0,First,#,FFA_ProjectAreas_SHP,Company_Ap,0,254;CPCNU_Num "CPCN_U_Num" true true false 254 Text 0 0,First,#,FFA_ProjectAreas_SHP,CPCN_U_Num,0,254;Con_Pers "Con_Pers" true true false 254 Text 0 0,First,#,FFA_ProjectAreas_SHP,Contact_Pe,0,254;Con_Email "Con_Email" true true false 254 Text 0 0,First,#,FFA_ProjectAreas_SHP,Contact_Em,0,254;Con_Pos "Con_Pos" true true false 254 Text 0 0,First,#,FFA_ProjectAreas_SHP,Contact_Po,0,254;Proj_Name "Proj_Name" true true false 254 Text 0 0,First,#,FFA_ProjectAreas_SHP,Project_Ti,0,254;Amt_Req "Amt_Req" true true false 19 Double 0 0,First,#,FFA_ProjectAreas_SHP,Amount_of_,-1,-1;Proj_Cost "Proj_Cost" true true false 19 Double 0 0,First,#,FFA_ProjectAreas_SHP,Project_Co,-1,-1;MHI "MHI" true true false 19 Double 0 0,First,#,FFA_ProjectAreas_SHP,Median_Hou,-1,-1;Num_Bus "Num_Bus" true true false 19 Double 0 0,First,#,FFA_ProjectAreas_SHP,Number_of_,-1,-1;Num_AI "Num_AI" true true false 19 Double 0 0,First,#,FFA_ProjectAreas_SHP,Number_of1,-1,-1;Num_PSL "Num_PSL" true true false 19 Double 0 0,First,#,FFA_ProjectAreas_SHP,Number_o_1,-1,-1;Unsv_HH "Unsv_HH" true true false 19 Double 0 0,First,#,FFA_ProjectAreas_SHP,Number_o_2,-1,-1;MaxDown "MaxDown" true true false 19 Double 0 0,First,#,FFA_ProjectAreas_SHP,Max_mbps_d,-1,-1;MaxUp "MaxUp" true true false 19 Double 0 0,First,#,FFA_ProjectAreas_SHP,Max_Mbps_U,-1,-1;MM_Unsv "MM_Unsv" true true false 19 Double 0 0,First,#,FFA_ProjectAreas_SHP,Number_o_3,-1,-1;Sub_Date "Sub_Date" true true false 8 Date 0 0,First,#,FFA_ProjectAreas_SHP,Applicatio,-1,-1;Funding_Op "Funding_Op" true true false 254 Text 0 0,First,#,FFA_ProjectAreas_SHP,Funding_Op,0,254;Status "Status" true true false 254 Text 0 0,First,#,FFA_ProjectAreas_SHP,Status,0,254;Shape_Leng "Shape_Leng" true true false 19 Double 0 0,First,#,FFA_ProjectAreas_SHP,Shape_Leng,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0,First,#,FFA_ProjectAreas_SHP,Shape_Area,-1,-1" NO_SOURCE_INFO 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/3.1.0'><WorkspaceConnectionString>DATABASE=D:\Shapefiles</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>FFA_Project_Areas.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>Funding_Op</field_name><field_name>Status</field_name></DeleteField></workflow></operationSequence> Append selected-california-census-blocks FFA_Project_Areas "Skip and warn if schema does not match" # # # # NOT_UPDATE_GEOMETRY Append selected-california-census-blocks FFA_Project_Areas "Use the field map to reconcile field differences" "PID "PID" true false false 19 Double 0 0,First,#;Applicant "Applicant" true false false 254 Text 0 0,First,#;CPCNU_Num "CPCNU_Num" true false false 254 Text 0 0,First,#;Con_Pers "Con_Pers" true false false 254 Text 0 0,First,#;Con_Email "Con_Email" true false false 254 Text 0 0,First,#;Con_Pos "Con_Pos" true false false 254 Text 0 0,First,#;Proj_Name "Proj_Name" true false false 254 Text 0 0,First,#;Amt_Req "Amt_Req" true false false 19 Double 0 0,First,#;Proj_Cost "Proj_Cost" true false false 19 Double 0 0,First,#;MHI "MHI" true false false 19 Double 0 0,First,#;Num_Bus "Num_Bus" true false false 19 Double 0 0,First,#;Num_AI "Num_AI" true false false 19 Double 0 0,First,#;Num_PSL "Num_PSL" true false false 19 Double 0 0,First,#;Unsv_HH "Unsv_HH" true false false 19 Double 0 0,First,#;MaxDown "MaxDown" true false false 19 Double 0 0,First,#;MaxUp "MaxUp" true false false 19 Double 0 0,First,#;MM_Unsv "MM_Unsv" true false false 19 Double 0 0,First,#;Sub_Date "Sub_Date" true true false 8 Date 0 0,First,#;Shape_Leng "Shape_Leng" true false false 19 Double 0 0,First,#;Shape_Area "Shape_Area" true false false 19 Double 0 0,First,#" # # # NOT_UPDATE_GEOMETRY Append selectedcaliforniac_Dissolve FFA_Project_Areas "Use the field map to reconcile field differences" "PID "PID" true false false 19 Double 0 0,First,#;Applicant "Applicant" true false false 254 Text 0 0,First,#;CPCNU_Num "CPCNU_Num" true false false 254 Text 0 0,First,#;Con_Pers "Con_Pers" true false false 254 Text 0 0,First,#;Con_Email "Con_Email" true false false 254 Text 0 0,First,#;Con_Pos "Con_Pos" true false false 254 Text 0 0,First,#;Proj_Name "Proj_Name" true false false 254 Text 0 0,First,#;Amt_Req "Amt_Req" true false false 19 Double 0 0,First,#;Proj_Cost "Proj_Cost" true false false 19 Double 0 0,First,#;MHI "MHI" true false false 19 Double 0 0,First,#;Num_Bus "Num_Bus" true false false 19 Double 0 0,First,#;Num_AI "Num_AI" true false false 19 Double 0 0,First,#;Num_PSL "Num_PSL" true false false 19 Double 0 0,First,#;Unsv_HH "Unsv_HH" true false false 19 Double 0 0,First,#;MaxDown "MaxDown" true false false 19 Double 0 0,First,#;MaxUp "MaxUp" true false false 19 Double 0 0,First,#;MM_Unsv "MM_Unsv" true false false 19 Double 0 0,First,#;Sub_Date "Sub_Date" true true false 8 Date 0 0,First,#;Shape_Leng "Shape_Leng" true false false 19 Double 0 0,First,#;Shape_Area "Shape_Area" true false false 19 Double 0 0,First,#,C:\Users\jykst\Documents\ArcGIS\Projects\TEST_FFA\TEST_FFA.gdb\selectedcaliforniac_Dissolve,Shape_Area,-1,-1" # # # NOT_UPDATE_GEOMETRY ExportFeatures FFA_Project_Areas D:\Public_Files_For_Vetro\Shapefiles\FFA_Project_Areas_Updated.shp # NOT_USE_ALIAS "PID "PID" true true false 19 Double 0 0,First,#,FFA_Project_Areas,PID,-1,-1;Applicant "Applicant" true true false 254 Text 0 0,First,#,FFA_Project_Areas,Applicant,0,254;CPCNU_Num "CPCNU_Num" true true false 254 Text 0 0,First,#,FFA_Project_Areas,CPCNU_Num,0,254;Con_Pers "Con_Pers" true true false 254 Text 0 0,First,#,FFA_Project_Areas,Con_Pers,0,254;Con_Email "Con_Email" true true false 254 Text 0 0,First,#,FFA_Project_Areas,Con_Email,0,254;Con_Pos "Con_Pos" true true false 254 Text 0 0,First,#,FFA_Project_Areas,Con_Pos,0,254;Proj_Name "Proj_Name" true true false 254 Text 0 0,First,#,FFA_Project_Areas,Proj_Name,0,254;Amt_Req "Amt_Req" true true false 19 Double 0 0,First,#,FFA_Project_Areas,Amt_Req,-1,-1;Proj_Cost "Proj_Cost" true true false 19 Double 0 0,First,#,FFA_Project_Areas,Proj_Cost,-1,-1;MHI "MHI" true true false 19 Double 0 0,First,#,FFA_Project_Areas,MHI,-1,-1;Num_Bus "Num_Bus" true true false 19 Double 0 0,First,#,FFA_Project_Areas,Num_Bus,-1,-1;Num_AI "Num_AI" true true false 19 Double 0 0,First,#,FFA_Project_Areas,Num_AI,-1,-1;Num_PSL "Num_PSL" true true false 19 Double 0 0,First,#,FFA_Project_Areas,Num_PSL,-1,-1;Unsv_HH "Unsv_HH" true true false 19 Double 0 0,First,#,FFA_Project_Areas,Unsv_HH,-1,-1;MaxDown "MaxDown" true true false 19 Double 0 0,First,#,FFA_Project_Areas,MaxDown,-1,-1;MaxUp "MaxUp" true true false 19 Double 0 0,First,#,FFA_Project_Areas,MaxUp,-1,-1;MM_Unsv "MM_Unsv" true true false 19 Double 0 0,First,#,FFA_Project_Areas,MM_Unsv,-1,-1;Sub_Date "Sub_Date" true true false 8 Date 0 0,First,#,FFA_Project_Areas,Sub_Date,-1,-1;Shape_Leng "Shape_Leng" true true false 19 Double 0 0,First,#,FFA_Project_Areas,Shape_Leng,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0,First,#,FFA_Project_Areas,Shape_Area,-1,-1" # ExportFeatures FFA_Project_Areas_Updated C:\projects\PC508_SBC\task\2024_BTA_Grant\data\FFA\FFA_CASF.gdb\FFA_Project_Areas_Updated # NOT_USE_ALIAS "PID "PID" true true false 19 Double 0 0,First,#,FFA_Project_Areas_Updated,PID,-1,-1;Applicant "Applicant" true true false 254 Text 0 0,First,#,FFA_Project_Areas_Updated,Applicant,0,253;CPCNU_Num "CPCNU_Num" true true false 254 Text 0 0,First,#,FFA_Project_Areas_Updated,CPCNU_Num,0,253;Con_Pers "Con_Pers" true true false 254 Text 0 0,First,#,FFA_Project_Areas_Updated,Con_Pers,0,253;Con_Email "Con_Email" true true false 254 Text 0 0,First,#,FFA_Project_Areas_Updated,Con_Email,0,253;Con_Pos "Con_Pos" true true false 254 Text 0 0,First,#,FFA_Project_Areas_Updated,Con_Pos,0,253;Proj_Name "Proj_Name" true true false 254 Text 0 0,First,#,FFA_Project_Areas_Updated,Proj_Name,0,253;Amt_Req "Amt_Req" true true false 19 Double 0 0,First,#,FFA_Project_Areas_Updated,Amt_Req,-1,-1;Proj_Cost "Proj_Cost" true true false 19 Double 0 0,First,#,FFA_Project_Areas_Updated,Proj_Cost,-1,-1;MHI "MHI" true true false 19 Double 0 0,First,#,FFA_Project_Areas_Updated,MHI,-1,-1;Num_Bus "Num_Bus" true true false 19 Double 0 0,First,#,FFA_Project_Areas_Updated,Num_Bus,-1,-1;Num_AI "Num_AI" true true false 19 Double 0 0,First,#,FFA_Project_Areas_Updated,Num_AI,-1,-1;Num_PSL "Num_PSL" true true false 19 Double 0 0,First,#,FFA_Project_Areas_Updated,Num_PSL,-1,-1;Unsv_HH "Unsv_HH" true true false 19 Double 0 0,First,#,FFA_Project_Areas_Updated,Unsv_HH,-1,-1;MaxDown "MaxDown" true true false 19 Double 0 0,First,#,FFA_Project_Areas_Updated,MaxDown,-1,-1;MaxUp "MaxUp" true true false 19 Double 0 0,First,#,FFA_Project_Areas_Updated,MaxUp,-1,-1;MM_Unsv "MM_Unsv" true true false 19 Double 0 0,First,#,FFA_Project_Areas_Updated,MM_Unsv,-1,-1;Sub_Date "Sub_Date" true true false 8 Date 0 0,First,#,FFA_Project_Areas_Updated,Sub_Date,-1,-1;Shape_Leng "Shape_Leng" true true false 19 Double 0 0,First,#,FFA_Project_Areas_Updated,Shape_Leng,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0,First,#,FFA_Project_Areas_Updated,Shape_Area,-1,-1" # 20240819 22094300 20240819 22094300 Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.3.0.52636 FFA_Project_Areas_Updated FFA_Project_Areas_Updated File Geodatabase Feature Class 0.000 dataset EPSG 6.18.3(9.3.1.2) 0 Simple FALSE 0 TRUE FALSE FFA_Project_Areas_Updated Feature Class 0 OBJECTID OBJECTID 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. PID PID Double 8 0 0 Applicant Applicant String 254 0 0 CPCNU_Num CPCNU_Num String 254 0 0 Con_Pers Con_Pers String 254 0 0 Con_Email Con_Email String 254 0 0 Con_Pos Con_Pos String 254 0 0 Proj_Name Proj_Name String 254 0 0 Amt_Req Amt_Req Double 8 0 0 Proj_Cost Proj_Cost Double 8 0 0 MHI MHI Double 8 0 0 Num_Bus Num_Bus Double 8 0 0 Num_AI Num_AI Double 8 0 0 Num_PSL Num_PSL Double 8 0 0 Unsv_HH Unsv_HH Double 8 0 0 MaxDown MaxDown Double 8 0 0 MaxUp MaxUp Double 8 0 0 MM_Unsv MM_Unsv Double 8 0 0 Sub_Date Sub_Date Date 8 0 0 Shape_Leng Shape_Leng 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. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20240819 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJycvWezHFlyJXhCi9RPQlZVq2mSNmM2nC/7bW33/+/sB3Iolk12 VxUKBeCp1KHF2jl+I1FNDrljm22vUXjIjIy416+L48fdw+f9h9EbPOx3WyzXG4zjgI8/fo+qLpDO U2yWd9htn7HbP+HVm/d42O8wLq/xKhtQl0cEYQDP8xGGIYIgRFGcEAc5oiBB17Xoxho9Ovieh9vN t/C9EF3XoDgXgOcjCDyURYXZfI6//7v/jjfvvsEsWyLNMiRJAt/3MY7AiAGH8zNO5y2eHj5jv3uB HwSoEWKZhLpWM3hI0gSLLEHbNOAHm6ZBXVdI4gT5Yqn7eHz4jHw2w2q9Qd/3OB72eu84DEizHMfj Hr4f6j3n4xH3N9/i1d13eHr5iDSd4Xh+wuG81XOsVhv4foAPP/xRa8A1nM8X8DxP97d9fsZ8sUSS ZojjROvbtS0830PbNti+PKGpaz3j0Pe4ubvH89MDFouV7oX3FKcpgiBAWZ6RpTn6cUAURcDooe86 BGGo9/V9h9PxiMN+h2Ho4SczxFGIoa3QjAG8IELi9ei7WnvFa6T5XPcVxzHqutae8TkwDEjSXPfA +xqGAfBGXZvv5754fqD38ln5AKfjHp7vaz2SJMUwDuDL93ycTkc0Val/52f8INQ98p65Trwm12kc R/2O+8frcJ0wAqfDHn4Y6j75zHk+Q1N1WC1u0KKQDPI++X6tL++JL88D/4t/517z71V5NnkNI32m dz9VWegjq9UV1os7xPEMh+IRdXPmFRD4vn2+ONv6xRHO5xPazkM13KPFDH7zE6rjDwh8YLFYIooS xEmKJFjAGyJ0Q4EhDbUfwdAgj0PJpO6387DKr9H1A8pyh7Is0KNFEPiYp1daI96HezI9c9e3aJoR ddNqPSlfvMf5fIY0zVG3LcIgRDe0iLmQHo9KhrYtEEY+9HZdFRjGEUk2R9eUuj73oqxqXZuyFkQR siwBt6SpGxwOOyxXG33vl59/wv3rd7rnLM/heYGu1wcRrhYzyQfXmM/JNef6V3WJru0kS6fjAefT QeeE63E+HzGbLSVH8+VKsko5CXnDPDBZPtNdt02L5foK6+BG/00B21zdIp8ttAFFxQPxBzT+vZQT N53KgA80Dh7G3kM2m2O/PSLPcx2CJE/dAnta0HEYEScJsizTzef80xvx+v0rxFGEfJ7bwe4b+CNX mNeFBJmL07QNqrbDYr7GqyxBU1e6Phf6uC/gha+Q+r6UMA9zNFsBQ6fn5Od5+PhDZcT7XuZXmM9X 8EMPp/MBs/kSfd9qgdvYFM2ffvobHZxPj3/UYZnN5iiLk56JwssN4Abxv9u2xWK1RlUUUjQjP4gB TVPbhnENuhFZPtfGcqOqipvXoqorBH6gvydpqh/uAa8ZBBGiOEEwDui7Hjw/vH5bV/CCEE9Pj3h5 eUaU5Dr8ceCjqCrk2QyzKEJVlqiaEVEQ6VBQYMM4xuiFaHtI4XdDwFul9CILA/Rdo+fiMbF7CGw/ MKKpS4xjImGicGfzBdqmRt/2+pPCRqXGhUsTygg/NaKuKlBkeK2+57WB4nyScuQ68lq8Jp+XCnQY ex167p2uS6HmGtUH5GmDMEnQjzywg67Fz/OH68zv6NxB4TPZ76gsR8CtaZhEuu6uKiQH3Peu6xHH QBQm9r1tLVmmPE3PfzwenJG7RttfYbG6xfGhwPnhCzxvRBiHWM6vsZgtEPo04B1ORYGxHbCKEiRZ jp73wY2kQox1i6jaE87NFoM3YBxNQZXdASPmiKMEA88aLRwGKZQwzuHFHoq6gedHyJIIvR9gV5VI Aw8BPITUMk4pHQ8vSNMYdUdnYETse2aAPNuLy4uKNI7RIEAa+giHAT89PONmkdF2aQ+4bryT+XKt Z/C9AE3TIs5irf0qy2RguPxS+HyWukJR2FnmNXh+qQvapsLu5fli+Kkj8hnPiN0Oz39IC0Dh51+4 +Fk200GikFGI+q7VjfPQ8mHTNEM3LIHeNpNaLwhizLM12npE2dQI/BBpEkth0eMZvRZ1V+hA8vsm 5cUb5rUpRKfqWV7V0A4oqgOanlbTFjIJc6ThHIFHS5ya1xXPsJzlmM9myO5f69532xc8fPkZYXtG 0XZIZwvdB5fpeDjjXA6IghCL1TWGvsbpcMTt9VspoLI+IfVmWM1v0PRUqjXqssTt1RojegRRYFp/ vrCFDgKsr67lCciTlKcTaXHpGVLMeLB6pyB52LMstwM8RqgrHvZBXhzXdrd9RE9lRK/R9+VJUMFJ CHyzwFRW+jOM4Xkdhr5D13fyeqjoyrKWsl0tF7oODzk9pSgMsFguJbRJzPvgfQ26h8j3EYS+O9DA sazQern2kEqN76Ns8N+lnENTTvzhwZcH5PZTB6LvpWR1yLsWvse18rVeVEj0Yvjc3MMwiuU1yoA5 r81MO/RctL7D0GHktT0gimL9Ke9sHBAnVLY9Qj9D19FLHTB0o76bSp7vNw/d3avnyeMG9w9UpD7i KEfTlSiKM/J8jjSx6IDvp2c4SzbI4oU8+yHs5akg5POb98g17rwZ0vmV/p5tfoXX+StkswW2Dz/j +fQJnr/DIr2CN4YYugD75wK74Yz1TSwFyMduRh/LeIWnh0d0XYE4pUaI0I4+moZGuoKfJmi6Bh4i tF2DkxR/jLbrsS09rLMQdwt6cz58qtTB0zpwPfg8dKe4HvLOee+25ejp3Q/mAZU8e02FzWbjvGMP S3p5GHE6n5D4A07Hs+6ZyoZe3Ol0wm5f4aePz7i6WuLm7hZhHCHR+tPjpaHo9T3e5fsH/e7xyye8 fvte56iqKimrfL6wyCGf6Tt4fnhvNBLh0I8STlp1SoMsEF1xKockwfNhp41fbbghvPkrYPD0b2N3 wny21IOFQYJqMEVDhZPlC+d5xKhbLosdiq/CboJEq9t2FY8l2q40bdzxoHCRAxPmKNcGxSGVZav3 RBgQc1ESU2DUFIvVCmFoz0EZr5tGyojfxft92W71rLvtAWEaYD7fIMlznOudDlrbV7KiYTTHKl/o OvvjE+qGApRK4VDjUznKc4vs+0sudGThhSxlaB4XH2+xXGkzeFBoicKA9s5D4LyRMPSl4Oj+8hnp vlNgtEZhhDAKLx6prLuejV5dIA/vsN0q5KVima+uMJ8ltn++vYdWnKHr2NOa+VJc/HwaRlKKvCe+ d6DHFUaYzTJpjMO5QRvfYhnxcB9lefn5wPP0fZQJ7Y/zmqYXlRWfmwrKrCIPm3m2UWyhLcMIevQ0 YFrLODEPn+/vzPIyXOZzcA14raEzJTR9E68bxbyH0EK93ueqAl5vITI9k3CNYazh+4OeWQYzpAcM wRaUBW+APE8qzyiMECBCGMRac96beff0EOdSUlVzwogOAMNe7kuKU8W/U8YDyQF/+NrcvUF1iFCc fkQatLYviPH09BGeP2B990bPQy8z9IHD8Ql//ONPuLm/Q5gmGBjGevQOeeQinJoaMyoBKk6vRZDE CMMEsR/gbr1GMLaIfOrjDqM8JotoGDpSbrTXoHGIUJQVspT3A32GRne/OyJKc51VP0rgY0Df0sOl p0dDMMJn2ClPLcDI0LWiLERoaViGFqv10mRPss578BUiUtYZLoaeyTDl2g88wTKEZKiUeGZ4FrhP dIwoY4q0uhbF+aizF2rTAmpiC2THsddG8XeTEpMXRMEKQmTZAoEfSUiJR9HjodXkIWyaUmEVN5vC TUFT3AoPaTRzwtV9FcyQlpSufCu3kAeLB4/KaIp1R29A1R4RIpW7qbi+7+Q5mfTyAPvS1jwMfKjJ 8jEE1OJR8IMIN54JPHGdx8dHZKt7zGcrtD3xNPPm8oAuaolj2ZjiSQL0ox0KeleGsdih6HtTXFKa ng8vNGUyWQV6VTrAwYBmrF1Y1Ug5cAN4GLUmF3c3RswferP9oI2mAuO1uHk8sHwAKgSuw8vTI87n M8I4w2yxRJalCqm5fzw0vCaFaVpXrhO/jwIxDA2ShMrJlpEhKK2pHfYRfpThFLxH6/XIoxOW/g6R xzC5kzBNsYOeV+tPefDhETMbBu3nhBtRVuhZ8/r0CKi49F7Pw3pzo5CY8iCMD7iEzvSkqERtz3uk aSpPVgphJJRRAb2H+exeBzcPiOk0womavoXv07se5OHrmZy3IQPnD6i7s/McR4QBZRo4F3sM6OR1 Vc1R98D7Zgw0eiO6sbHP0PMPMq1nGvU4dw38wBTV14jKQ5jMUZ8SU/IBz9GIb397J689zcxT5F77 vin+b39zjSAKJUtZFKIuawSJGYaOxl1epodZEiIOE4Q8Z56PJKW3ah459wJdd8HveO/ce52TgeFu Z0re3aNhYSYfmxVxI8Naq7ZFNwzIUzoFNAY+fvjjF2G0cWpRBB1selF3N2vMv32r0JlQBOWQ9zVh YdQFjDhGRhx8lroX/MLz9/z8IPnmmeXnKNOUx+W41roR36IS5j2E0rAEMgdiFYM2jV/Ew07Ntlyu 5B1QechN9qkxZ5dDRDzJFIIBqWNjHpQEVULsIUmotYUuGNZEdy8iXtKg6St0baNFbc4tvAg6UCZc 9Pbo3oYIvAjD2OG436FFiuz69xi9FwGfVLK9E2QeVuETfA4in7IG5r5LWcWpcIrZbAG/TzBLVsjv lvj08AeFF8QU5quVNkMhhRRYjcN+K2+NCpaLbkJrXgy/e74kYMzrJ+ZV1I3Wlc+y378YgE7sya0L D2XqBwKq+XdeL2MI58DUJEuk+BvieL6vjVNYlTLWr3Ha77Df7xElGbI0xizLFNoxxCJmxWswhOS9 EcCn8hQe1JvVKstSmo+/I/BOxUZsaXD3GCcbFNEMHXo0QYSGYXH3qOehtye8yPftmhgkMxRW7gEV 8fS8Y2QKiB7qpKQueASVfZrhfDo6XMusqwxeGOjafB/XXl4CIYks13q0da3rdowz4ho387W8hyyZ 41S6wx2s6bcrBPT6Qt9Xt43uswGhi6/ykUYpzucDfQp51NzLZhhxSn+H2O+x8PaIxwLD6KNDjAg9 Qhp6HfgO+y9/QDh/o8giInbnnjNg2But8XG/xzprMQsDpOu5PCoaEh7EfqByGSC0wCe0EKCuThja QGeqa2hcUkQhz+UOYZghz9dah8kg8H4nr1SGzXnOzqQrHBw9JkTodQGpk7XprBILmxGekHc46ly3 XYeUXpJ73/R+7kvQMmnBBJpBDJ6wQd4fI4NA8nRJdMCSQ06NK/nCe95c3UkX0HAK3mhbYcNJP+jM yKNXxESDWiFJaoTS/IlhLzwI+hIpsVQWXx4RQwgChDpsppUtmxQBdaV/Y6YvjeaIg8Q9VKc/JxBV gDnBTGUIAm1SD+I7hvFEyBDFLXoQdPaRJUtEXiahpHfF7yxOZx3S2fIO11mFyI/1PfLm5A1aXE08 gy9aYFp23uu0cevsXgmEVdqg7PZ4Of+oMHD0zQtozyeFCjpUDhSkl7QOriwDNjA75iyV24yqOF08 IHphzKrSWtBKlEWBq6trWZXz6YR8Pr8IGg8iFacX+FIyzF4x7CRgLg+tadG2lRQP15heIsPLTx9/ 1LUHL5RntZjn2L084fXbd19zSHKMLTQmUMvQnAqcyoH7wN+ZEFr2K3FKa/v0pIxsXR/hzQP4fY2s e4CPUkqP1m4ZXskrYNRH/JOhqfCpolDm5/7VW3mfFiZRaFu0DQ1XdoEFzOJ78oi4JgRxaYxocHhY uJ6bu98gieeIZzWSkKiTB/QVnnc/aU8NB6MxO2N3Opoia3qsZtfIgxXODFeDBQJvh348wffM6use JHcMc+jdEJ/c61lo27qWOFyCZoxReXMUXgqqqWg8ofZydAgR+2eHY/mIQg/v7nvstn+Ppn+DMP6N IBVlxhqeixFV1+DjU4ebBRCmM1ynDIHoiVuW3PC1WhDClBSYEjpVU8hQZnQsiH4EA+q2ELYr5R5H qOtCIa3Cc2cA+awWsusIm3fuFJkUgTPsfO/N9Y28JUY7fdPh2DExQO/Nwu+6PqM4nzGfzaVEhTkq 7De5tqSdL9mty8oSRE5pTR4pFRWdH4W4lI8RyNIUfUvYokOWW75S0MVijYeHT7i7fyOPjzKqDLO0 e8fDGrtDapkWgp3aDIYWzoWkguKfU7gz4Qc8UNRdSUKPq8bxsDMF54TKUsedrCi9jilkkmLwMpT1 oHicsfX+dND1+N7R97DfbpG8zngreH75jD7IMJ/fYOiPcp3pwQnTkmdj92mur7naQzBc/i0kJBGN eNz/6O6F4bApJD7PRM3ghvPaem4q1qazrJ2zSpOXJE9OQkLrVmO5tBSvaAC9WQ4qGILPk0fGQ8nP 81qHaoeIGS7F6GcB8FSCzG4qO+hCWHpVFBAaFL6P2UCGH/PFCotZpuSAEhZ0NmTduX9MHDAz2UiA aH2JHRGv4Z4s87l+Z+GsJwCe30eskunq4fQAb/f3GJa/QTPOMffPAIFrSgcBWoZAfiwFa+n0EYvl Gv22s4MhhUuPK0RxOhmeecWMU4beixB4FYKxEjbFveB76JlEKb2HJcI4QRIMiL0aQdQp9PPDGOc+ gJdtEI81AoZpPpWQKV6FYHGAU7NFW7VYzBq0oGdZYxw6havCzIi90WjQOyROpb1kAoiZLPMcKDPd 6J4XwGnYIPJKCOCg3DK7Fs5k5Ki4qECW6xCVd+UwI/NG6uMj5tjjdgG8EIPFFpsxNUdgNMyLoT8T XPRoCGCnqSVfpA+JxUnBeHh+/IyYiZyuxql/wTK7xTxfM5TAwLDfZeP0fw7sk9xdaAvEopiRLTCb McxjIsJCOsm0KCQ96q7DimeByR6fiQLzuhWW57nRYJT1NYN4YgZz6HDcnYUjEyJSMs43eIaKZqKM UE55L8rQk8nRdVLUfFYmsWjEqXM2Vzd4evgkg1+VhhFTXkM+mHlBBjBSGGnxedCUkYrmLuziBjDc 6iT0UwZPXBmnFSfODHEY/jet7CgvJ7ooqqIsEAcUCoY8PgYvAGkaoedjd260Ubx+kEWoqEiTWPhU eTqj7AbEm2+Q+BWy2DwqekfENvjFFMbJq5NidYLoDRbnj8FIdoNxaeoGaZaalXBWiJ7AJLi0XMpW ta24NsI9KIDMMmHUQafXwpXmf788PqCf9+IbyRIQhB+Ie831TMrCOK+ToSWBRir1M+PzwYzBkGUo jgcdYFJI+J5sRuzPUr90i6umQx+ukS8WmM8CCTrvdbW+0vP7DvBtSGGoCim4KZQnd43XFv+Minjo EQepficBCwnkVxIuHsTMexR3qGp9HMMZFj4Ng3mS9L65RPxvemtUeGEWWWbU4SOTclcCRbybFi/Z tzKEefcjwvaIoG+0Jld3r+TVK8ILzEMv6z2qml5GhMSfo61KxP6AzGMYOkrGLB4wqsUw7T0PbuDh WOwwyxYY6ZWE9LQpExa+El5Q5lA5ZH6OXkoNP0ox+AnqIcDg8VAOOBVnJUu65FvMvC2WwxeB+1my UKac3g8jleN5wJgSjHfKwvcxv/uVIA96F6f9jwjrZ4X+i5AKk0pr1PrQcNF79ZNEh1QJgtgSGAx1 FTbXFdaMejqj5RTBSfu2TDIZMCogUgP4ISohhe0uNJ34cZRDJQZ0RszTpVydiwqr5VK8SJ0NeU/8 DKEeep6U21wyaVlgU/xUIlRilK8dk1pRKFhCshXHl/fRAJgH3EjeCRGU55MoVNwHRjimQwyO4j1e 3947Qz4X5kvjGE6ZOPGOGF4RgKNHwHxGkl5SwpNfyRsoi7NcVy4mBVEZPJHa7KDTS4iTDF1dS5B1 04x3R7OS9AaJe1QuS0aORN1Vuo656L5lY5j56bgAJbbnBmNyjSQKkPo8hIm8IoksvT+lrx1R0YH9 Ex1AGS4KXOMrtczrr9dLHVCFRXS9ice0pvREXGxtPfh3ZpbozdD79C+kRO/yHRQkPp88ur43+oJz 5/knDwJ/z/dx8fknrQqVETMtVFyWERklrFTwTLPL+mYzHTQqn7KssCtDDEGOODK6AzNsU4hOxc6D TiXJUJFEPwoKn2GycMwScl9FzHVeKJUPDz+9MXqSvI/leq29aYsPaAugSd8gzoEko0wQbzHs7oLn eZZQ0Pp1PGwxAT09B2VHHp8faa0zv8YCJ9Qt97xXOEqSKwFyb2zRtYNRIijAokoMSFOGIoG8ENtT +9+E+cmrpUF1WW7ieXXFZEOPkKF+x6SOedH8nBwQvtdjeG7X5DocxhVqXIv2MEsX8PoRx/1WOE2W XKHrfYx9DT8xg6mQi14as9ZBhaJ6wsBnoTFzL16XP4vyGvsf/0HyToxTXrNwOpMjKk3DYe3wUj4Z phq0cMbVzZ2MI735rmlxKvY4Fycg8BD7iegYwpEdvihHgmeXKl18QBrgTjgR8TfesxE4G2y3eyWj GAqHQyeO5XxBSo8ZD8oyEybHwwFt3cBPfYy+0YyIXZ1PZzkOSrBlM12X8jB5vpQvi0ooo6Q3McMZ iRDMPwWzjIOwSa4L5ZVrQYiFxjoI1lKA4mGR1S6ukRNCA12pEe3vlkEz3hTDDyP8WRggzKuzDCIF XkokZMwZoh0ry1R4Pmp6S6QhyJvrcSpfFC+T8TClwKfMoCgT4uakOJAhnQRoySz2G3jDSZ/ngRdX IyCdoMPAe3UEQcNmuOl23clj+vxxC+8uR7yifXbeF4FIHrbBGOhUKGRU16ejDh2zT1QYslCiGlDg 7QCKVEkiKwH01PAZChTXhwLKNWN4p0SAI19Samgt7d8DhUAULRFZd1tZF611PwjbEfDcdTifC5xL wyeu58B6HlsWlTiA+CqWASQnS+FKQtyKtAta7qOrRqDCMByLz0PgdQrxQ9+oGMT3eP/k11DgKDjt uUQW+AjGzLwaYRCW6OjFdDdjxmwfX1w3heFlIQVMQfOiDEX8jbCdDHt5RjyEfC1XS+FmHRn5jgRc N7XDQGjlfTQxDZ/xeZShdvyqKZlCfjEPFuGNTtlQwgKtC83nKJujEVBp9Xtgni2NP9dX9NVw9q5R hzPUQ4Ki6oVVnuqTwPt5QqjAPOyxr4TrcC/L5uCUMfHMBknsoybPjF/wP3nxM3m2AhH3oTfjLNZ3 EEixu5SXPRszyk2taIOcNK1pFF3oACZ3fL4Gu8NnJHEmhRWFGZKQMMsZWTJzDocZZkY8ZUXqjI+5 o6/IyNPDi4jtUbH5aKIY9fmIJG0uXDxGuZSbKLJwmYaUkRj3h/dJWeHZmQyNstROd1Du+O+mQAOF dVTGlDdmukmyVjKJdIaM3M1UZ0pr46KzQEm+CKEyBml+Id7R2igTRAvpBINWamR2hAQWZdoMBKaA UGMLYKX2JP+Dh2W+sv8eLHRijJ0wJekDVX2G5zO0KkTUI1+GmRllyXRNszgEEMMoQBgT7vTg5a+w av9Z90SDRleRIDIPK7+TC0KrxQ2FR8KiHSzLODJkGHF3t0HvE3SeslVfsQbjqxg50wBdKy9RRkQh nVERLHNoZSXTelFpMk3ORecCi9F8POhwK7xbrhSOUV/xkPLzYvnzvpsajbgsZpEtlO6xWpPVHIus R6V3LEmbyDCLa8wyAyEJcFKgZcUd74tWjtZR+5QIhcQsn4vER0/VcA5maiy5MfGrJtddnhfJwW2t Z6McbNYR4oyYhgvx2kkQw4tRoCKvD5U8UYYYzBTy2akw6Ume41+h9RdIvTPm3h4FuWbiBCXGr2JY Rba/S6JQyVtYlEh4y/B4Aet5n97FM7KQzqX7RFiksp8gAX52lq8Uuk28QJa7kGDK/HPTAafgFXov RhPcqIogkkLqkQ7MSMeS26X/hK55QTTsEWbmrbR9+bXchN6h7yHOltyMf0dhjchXGyTxCPJPjedl yp7Gnt6rjBXpGR2xx1LKgngOQ/iaJWYuHKNckn5DOeKfjJB4vSTKRX6lkSXRmnQNjJb4qpsOP/7w Ez789BH/x//+vwlz5tnleaRcUD5I8aB3mM7XCBMX3pMXV9dKJhGnpExQ8Uz8R/H9Lg5OKX1CZcMz QGXFqE1hr8JCemXxVyPOBFtmVTbUGTxDlIuE8AB1iKokvhKwQy80Eid1EfELn6znKd3LzXDcoqle kKUcVAaH/QHzBevQzN0VzlQUODct3mdMTzeKU6veQL3EH9FUhchxURor/ZwndDkHFPXe4Q/EX8wL 4aFu+wZ1fxYJrYvXGIccIZh675HlVA5GXuTC8MDXjN9hoWnMNH8QoexPwnnyfIHrmxtRF0QTaEsM DD8E+haKp5WdIl4nS2BrIPa6s3YyMy784UFg6KFNUEjGMLLB6XRw7PcON3d35onRk1NYGl7CPyqa njQAub9UOlRUtmEMxyhg5+KM7bHG52KBm0WIVdqLKc2Qj4pa+xFGZo0cz4rhHnlLE+1EBscZFa6D FJue0A4JPz8RXSfFTNecz0WLx0wlyadTraO4eY6eZ3WYrFu0lLbqB11WWfQEluu4583DChv8ScpA hETxasjonygSrAxIERJnGno9A71EyhfX07KO9ADMo5HH4zxTo9wEGJRmp7dg2VQJukL7HrOca2qh Ev/tePoCL0pxxLV4hen5T/DTBlX0Cnf+R6Q4qTQHzPbxLLQlStE2uN+UMcswTjVyqtYoArThHKn7 zL9+URluVimiqEXnGaaTKZoYFKYJA6aXI0Ngh5weKWWRmcsgMpxrCoONxMzvJk5rITJhFe4vn6np GQ2Z8qS8N2OJt99sBIdQwVgWl2sqKBsPj4+4v71Gmo0IybdUeMnEhnnR4h52RmsxBWp7SCNNLJDe MZ+DZ4YfePxiNbsGV4yCU5TEk0HpZDAJtBtx2XBOy/KbopqqOhTmKpxtCf0YcMaFYThwOrH+jrVs /HLHSnXUhMmSSxgY616EnHGuhUYRGeyOnKdwJTbLTO9E1PuIjG1fyopEUN9nsXKEL49/knWkxeAD Muzjd6tO8fiAfvEdduF7rIq/R56Sg+KhHpju7aShlXVh7O/CSzJwuYHEj5QhW1wjRAQ/tExfM1r4 QTen2gH0AAAgAElEQVTXLEGo72KWhoeSnoaFxvZ+cY9Iy3CFy+Q2qXZQFAXG/ExzW50c/53X48KT bsD1Yeh9tSLhjofaauIO+z3u37yxcpyaChQqS6CifXz4gudjh87LEXkNvK5ETAb+zVuFBBN7WWRM R6kw78OwAIKjTBZwbfh8X172yK5+BW88IwuBeW6ZKP6IHOlCrMmT5DPtXl50LSmTzEc5hoj5LCoc NgurUheXhfLzQFkevhQeSmaMG5e0L7rHvvdUvM3Ql2vH+52qHpTqdorUSpxSGS+DHcgTJI3CV3G8 mOqEMQgKs/xjbNB6ne7NnmWw7+lqNC2zeyFOzRlD3+J4OiHJl2jDO8RBhLj+iL1/gzZ6j1v8hGh8 0j15I+ECS78LrGfQpnDP8fzoUYikG+NwbHFsrkSEvRRe/+JFY43xLM+NYTarGSgjTN/7cYKoo3Ew mIOGgmvA6xsni7wlkynKMpX5hOPx32jgKGOq6CCFJUp1X8yQHnffi5yZRaynJQk00zNbaZx517zu q7sbfPz5kxVq0+iRH9XQcxsFovMc0aOn9zTx+yb6j6hHUajSNZ6JODFvnR7h5vpGjgwTPTTAVq0x ZQuNXD7JHSEgY9GP2D4/KjIx+CQyHItRl/EeWMlvFlTZKoJxrsj1IsgO65iAzqenF7z/5r0VFFM4 WqYnG2zuXtlGOgvLdCw/y7Q1Dz2xgzEguM/CyQYxmeTdiFqFm1QUcykF0iOYfSFwXFHpUHkFMdrZ b9EQx2pPeNodsVmYGy1wnNZ4JME0AdoSY0NSplXfswiVvJWu5/12+P6H75EktuH0VrhJRpo1b2kC R/jvU5atoRtKYLBslNUhC52bwhpGWiwecgrifL6UUBEYXW+uzX2XovPl5Yiw6eoAeUiJv3DdLTTv 8POHH1A2rAS4wfUixTzuxJJmQagsujBDUlA6XVNW9FLLZ7QU7h8V7sv+iCG8Qv67/xMjybfNE4r2 gMCvkQzEtpgQsTCU3pGuRzCUdWOJhZd1RSA0A0kJtLYt60GVbQukEKdSmqlekjiahbWbS7Gw0uCu woG1gZIZEYiZSTK8UVkkekTESusay5UvAimfMyT3KTZMyxspMz7S2RqJ4wIVFXGx0kiOzrskWG3J nhoRIuRxhKpqsVnwnhuE5Z90vXP6W4RpjvXwR2Q4qiRGWeWv3AAr8KYirjskA7PaRpCm1y2eUuch W179WU0lw2qDIzyMTEyh0e+YSZsnS0EYp/NRXjfXTVk8twdhZYeUnpMSOpLvxEJHVnHQqybhNaex NjxWFBUHvLP0R1UjcSZvS6C+T5eRWBxpGB3S2IifEyh+LkrUdYsVS9zksVt0xAcnfCMmOsm9dChI apZSZbLCOFdGkM4cV9PHr3/3ez3bw+efZdBJQuc1JjLpVFXBl9XJGg5Jo8MowjLXoauCcbxOj20j uFBOKVFrhhRgMsfdBa0FRagiWgpm14x4++ats6CGeJYs7UgI/HHRDaRmzN6JVmAuvIRXXtfShU1U gjU+v5RI/SWiIcIsWqADa6IKFPURQUweyB7R8f9Bmb5BmWzwVHgYywJPwzdYJSOC9kkZCwQpzslv kPg1wvEzacaGyyS5FAnxI1MqJfI8FNGRnhIXx6r7GbqZxeEhYvkBFZIpCfLIjIvFhST1h9qfgkMl pBKYlqUw8SUbZcRTcpuuxb8iwVLYjHhYGcLwrGvwcEQuY9INQJzmmGcBEnKd+hZpvFDWj9eWFZ6q CFjk6g7EVBWgMPLl0YisQYxm8VfoszfwuwLRcETeP6B4+gPKOAJWV+Ld0CgIlFVRsNEueICeHx/R PO3hdT2OzcE4OPkAr6+xbwdki7WKYZlw4npR2UgBu5Ip1f6LvOiJC6aDK7NOI2bsbMkKLPzhNWgA m6q2Am/6NI5Ay3o+nwmJMEfBerl0hrCe4z4yagSF2lrg8Hsti6lODTSkbKfjWUmLteIxi941HZIs w9X4AWProzwf0U6KQ95zaAkRx7mTIXAdDX7J2C9r4k43ymROL8rKy49/JznrWZ/IMhpvQEjjXR6F NU61nCr9Ed8ulTfCiEQtisTvI3m4FR4Fp/gJYagpQJrhuN8LqyTxmM7fqT4oUjC4JEQQ8UymaPta IWI71KJjcE17OifybIxP97vf/RbH4+ni7bIGk8/NLhyCawTVcPG5JgzhjBLEtSc2eH3zyrLG4m+Z 58R1oqfE7CKvIY4WjZOoUl9pF4owHB6oKMnzFBnQ4AtmGK21kfwzK1WcsoEM8aywdGIz6ws842qp HYdCQSuJ4YE9tyO2RY+rPFZxrEKjujSrr3o5w3qsut+yJQpHWIh8qHBqQoSBFXlSqagIN2fmYKbD LPpBVyEs/gVj8Gssrm7RFAFyj6Uje2zLPZbrOwxhhzGcI2k+I45IFJxbMStS7HaPKMsjQCyNYQyr 0NdrbTr/m7E5N9ksagjfVYibo2WH2RRTLAUvQVXnAdah2drY5rMezoi4VNrPj+TseEYMbBrF+EwL G20kEW7Gco7TiVyfCItFJk9LSamBIaaB6hNreQrR5Qkbs/BS7E3qA0NQ3vd8OUNLrCVIkVQf4Z8/ wetO8CM9DZq6RdytUGXvEI9Umpa6/lpWZcXQCUPHkIRMH3FO6kaL8/GExXKDgAz2IUDv2v/QClLJ 8Lna1hIyxiz3UTEpQtpDP1x4fZQhhtB9ZylsWkYaMf6blYsxgzVayxFCCekKfbYB5u8wi2fwqkcc ii8YVNlAsFiuqqX1RfA0zJHG5tBs1XlhoIxVxPiIkxh+Q69DXpLIxGyXQ45dpKwbw0JSImp/jUEh baWMYOCZxRdXb5wjWbyxkLc+IRpLzLwe0Zp9xc4oihpDlyCdi0eEkEmI09GdC6OzyCtzlB6uy0S4 HoaT/mQ1yuDK46TolaW2BJkSYK5Gl881DIRtSL3w1KKG7WqMyKHcOAoaH2ZEG0eAddSDWZ5hPjNK jmG4dk6ZnpgqAyY4QjiVPGbXhqkhFGL3PhWaEuKZKC+DK2q3pAoNiiW+zKscULACg5xGKtsxEm+N sqbz58qORIWYmuNRiBnCMC0Zp1aUSwDP85mRotxQyA2f4e/73hjc28KoCcbtMW7FhOWIntC22J06 NEWNq6WxoQWouVCTWjNafouuq5D4FjYJC4tjpBRKArN1CS/ykSyJW21xLDxUwUq8Lt5bF9/jEBDb 6RH1R0QkOHqRXGB/JHv+SaCjH1EIBjUEU2aD2Qxm+xwOMRXHTgXGX4FVLpjxk5Q5Y++e1kJQhrrM 7nAT6YHwWuKekRWcZZfiTVbHV22vcHhgaBnwEHuiFjArk2Qj0sgR/6IWIIucHg1LFxygnwSpwwAs HBHLX1aJvZl2KM9n4+vc3gsoB5XS+V+Q+TyIHo7VCefa2r/QoNAIFA29oB6Z70qcGC5UVtoUJxEW y4X228Dg4FKLRgXZ1AXy5QagJ8KSJY81o9x7KjsLJ8cxVcidZokqCyxLSqtrTQ4tnGLoZphMFDED GCPNSRMZ1cyQxbDLV68RvPprRPEG+XDEvP+EvvqCemT20DDGqb2P9SYzHKX3jUvH4mDKxyxeX2oF Z4uFlKeKf8tW90Ushphg28Y4HdiKZkDLMO3q1/CowLIWx+NPKAYSQLWNOJ9Z5WDYKfepPz9gFrWq QSyqAWmcY7Fa6gyxn1ySR6o9pSfJ9RBu6bK8PMgiAE91ggPrJzNlWj12IFEmlZ4sz2N98SSnYveJ wkBAXVlU4l49S+7MthmB1EfdF0jpWfeWKSRhVOEfVZsqFXgzcoatW4bqqWucT+xHZjiX50pvyt3O MQIS/W5SvFROVMzn015nTqG1FLSB/QyJzUsjdru8NIMU/UG0B94b2xQZiZ2lTCG9JHo9DJm6gSGN fWjq2ijPQd0YGc4YcZCbShyIFP6XcsBmmeF+zu5j5uJNfCRmHJkBO+wHlF0Efyzk4k18JB7E1TLB vj8jylcYmwdzGyt+ZqcyEXEv2PysZf1bitPxC37cn/GxyvFqlWB1zWzJApUXIxm2WI6fEFHBCIxf 4+fP/6L7oItt1Ida91kSP6PV5ga7UGXKhk41eDzUFBB13XSsdSUBXDM7s3AN1tfX8o74/uOZnTXt wB8OB+FGZcPNj5GnI7qmUIF1SKXFe0yuVGISh9YtNc3JAD473kksyzkVn16UpyPeiTTrYnuuFxv5 ra9ukbADBYFQb8A6JUGRwk6vt5AhYXbJiK4tVsMnGSziIPXAnlP0oMmhsbrByWvkj1jurMe8srBZ HDMWJM/XwmWoNJhtDS9tQcgxMuzTWriYcriksalI2DFi6kbplCHxKyYMeA3Vr62vEV3/pdYwPv4j lpGPvmH3UiYAElOmLpM0laAYi9wO6dTbijSEFDOFSBJ+UmBcdpb8KcPRrBpjd+pRFMQjU9Qskh/o PfDwRgjnb4HhFj//9De4vza8sD5+hhctEFOO4wyHw2f0pw/I5msslnNkoYf9YS+5qbZH3L1iDzej 4/AngzUI4NrTG59kkXsljDVNlZEVDYEQgpSqdQOhZ03FS1iBFbpTKG29yyyTaZUqo4qUWVNJ5Vk1 B8zTe/G5MucZTQ0mRcYWVMDIgeFfbFncKeqQ0jEowhJxtZjw6r7SWTbWOJ3MfDNTbMrNssLGwbNq EWa5rTvwhGNaRp08MVsDi2rIpH9BWFdndWxUhwBXwzTxh+TCtYxD2a2TbYxJLWATvxQffv6CH0sf f/VmjZSlEuzl5MobKLj0NugpKf6OUsxX3KDDpX+S+EDsVEjm93iF8/MHzOMp3RngVGzRocRmfYtz uRcW8mnf4J+ezri/fo1vFje4Ws7xRCLN2CNPDki7BwRdiW608JZVG9ksV0NC4URxogZ32syqEOCp wysLQpb1Vz6S2MTKyDBTYqEX43JZjd1WloPrwMzJ6WAZMXb7LKoOy821LBM7TuZsydL1BD9wf/9G +NXHn37AfEGryl5JR4SDkUwZq8/zpaWna6v/I+51dXPrXG1rxzNl92hpud5KBNS1OjekbDDYlhJM hpriwTiv1QTP2hFPnmRXHRW6MZvDEOxYNeoAGyUBlrJ4vur9jI3s6XBYq2AoZS0Pk6VRrn0QPTsq eYHDxEbymfaZyp6yYMRDoyrsXbKCHWpVYdH22D3/jKIiy3rhOk7OMF9eo41btOd/Rl884ORKPvjZ UIAyvYpBzR8Znk6UDGJxvDc+F/eNnzmeTzi9+FjfsXea1cQSX2G4Q6xFdZU8aF2Fm6sAWcrkEVnl f4C3+j0JAzq8QIz5+g1msxNmM4LxW9RgYXtATg3Sq2/xctjies7kyhOeywahl2FJeSlYLWI91hbs 2eUIwJIxz7otcM2IoU7F94JGAvOe/N68pKlDML0yKoCphTJlxZwNkuDJEXO0CocNWa0hDSDxPWYu jRzNvXGYyCXZZh6PeWw8+xNBnA0up1rXw/GE+9sbo5gQbmhpsH0V9ucBKzvKS7dWP6YCStCEDV6e H/H67TeuHM8qMbjnE7duqkBQNweVr7HNlDIBRrM3OoH1fZ7YqQyhGNYITHV9svZVhx/PA/7zuzWW KdOudnBYKEn6vrojuCZu9C68ZI04n+Plyx7Jz19wc0tODDsd9tjuawzLO3ThCj+87DDbPeP9K6Zg 2SqlRBhvUdQHjEEGf/Eb/Hb+ChUizJM5Iq/Hu2WJ+vgBJQ+OSm2M90St3I/0YFigyjYvFkNPDNzA j80bCErDLYTZGQdI7XJ3LyLK0S0NVpZx226fRbhkFpDv3253AshpUdlJgiTNzTrD2POaMZI4Qp5v 5KHxmlRWLDV49/47eTD0IHmots9PypbxvvnMqihoWmy3L1iu1gY6h0bYNT6cPedEomQxq8KJ0IXk 6idmuJq4Yce9FAQtGkFmkhIpIMvVldEXdlu5/8zQjrPvsEOO8OX/hk/wPwlQh2uc2Y3V24O6ybo5 WIcBKnoq9qmpoGgd7O5BbJBJGIdXsVSLCnr78sz2rxJehjpU9ur2wba550K4x5LyouZ01rwvZt1o /Qkhu12qgNcwEB4MkU9VS8e+ZaMMwHLtSlxcMb9CfbUfCvH88ISmCLFhETYjB5UOUbmz82vqQnj2 32KyhorUsrHzZMTL098jXv5G3Cxm4o77L7ie5TovrLdkAf/04n3d3l+hrn8UqVN90VrjGl7d3tr5 cD3jrJ7Q7lOfdUkBYqNWpTFgZPlNzLKoCkFqyS8qhPNoHETWsApkZzsafh9DNmFa5uFKWU1NnlwT TWWrhxIpi7Jdko0vth/PXa3u5Onx7fv9ToaQ3EHKrSVJSrx59cox3IHiSDw0UEZQ5GLXoolJF/sO kqy5Do59L0NikIdlkh3W5u5RxG3Vfg5WLqYMkSsanuJmCrfCPoG+1uBfms/38HSqca5r/Oc3KyxT A36Vem4M4afnQavIEONp26Ac2ZPZFuLq/i2OLz1eBabUFBqGmfqRL27fYXb1CrsPf2tgJHtXs6EI QzRxxUqUOGCYfYuQFhUNku4D6nprmUCGOCBvKsboOnwmCS268ahU7d0YSCleURTi+pZ8LtcZs21U /sLF45+Hw14pYSoJ8nZU/jMw1l6hbFrUvace6LerJU7HHTbirIVSMFwT8bIcI3kC882w0SX3ELHw +XSUCBnny+gIhx25T8zMsue7tZqZWiNTEK120vX3otJ3Sk64DWvSiH5zfVx7GYWR7BM1o+K2XkdW IG7KgIqVngXD0MPhjPR2gzx8UidWXrvpE3RsYyIXnZQMTx05ffKyirMr7nY1k6W1fWZWyWgSljGc usJ2HRMUjr5A75tJiPniwn4Wf+7MZM2oYRuqGiBvar+Th88aNUUCcWoESTP88viUbfOt06jNInAU j6me1IWbxArXK2IwoWrxuD5T7ZvIidyvgEkTZgNJorV1ZoO96wU7IvwdDicPrb/GahbiuXmL8fw9 1jdrtDyETmHxmT5+fMHNip4j5bHFKr9z4LW1e1Z95aUVzETQNsCbkAYjBJEq9RlLhEjxiBZjTROZ jCBPSsM5VC7lkhYhO6gSMnCAo2TP/felpIleTIMhZHjNGkXSTEKkl6695vGxj5aGujCZRO9YDSAt I6u2VFqzENWZ2C2wWLPUio0GWFPAyIttydcq9K9da/Rp+ITgiElpsWuD6+c/UUMm2eorctMIc3Bb eteGmLwRxvtx6JjjpXkqLm49URF0Le5XM+QpkXwLGydXzlLU3PQex3JAHd8iW3xN9UoxhHPsT+wl zh7PHtoxtD5HLr17e3OFIHTAcFmqT9Ys59iUE86nzxjTd1gNe2TDZwQhKQrcTGPGGufHMhjylrwe cZgqS2LsC1ssFWXGphQICHLj6aJv90cV/JJrw6b6WRLgdCCW4qmFcUdKARVMmqkIe88C7ZGTbl5J sRl2Y+RSw8SMwKgGha5zgSynqyP0/Qj77R5VWSPJQitCrjwcd1usr26sfc9klZy3YBjj19Yok8Vk Bi5f3U0e/eUzVk7larjoNbtWzSqtcAXaalmcMXO1h1f9iJCAPWs0Wb4yFIgCGp4FOi9C7JsXPrXX YXNGCuth/2IDReas+CfwSgNoyRgVLTP02m2t1Y7PNcytF5iKzq0Nr3XHtAJdAv9WZeD+nXhPw0yR sagJ2E4JEyrjJEw1AMWf01MlFcBk1ziBxvvTPsibcV1vXbmIDbgwD5yv1dpAcDUDECHXDveULY+W LDEaEI8xTn2FMrjCy8HDbGVJo4kTt3r9axTP/4TNgpOVPFErutGSN5eiaQd0Txt3MSYu267uBgr/ bfLU18aWpNZYd4ppf7nuVUHlQ0OvWpdL28xLyOk6k0yZE6570xKAp+xaKGbgu9sMJUZMqVApEi9m RxHzjlqci4PWhZ1UBAnEnHpjHVwMZzOFJUoGzzQxXHIQXYkY153+DFkbpzObE9I7TpBn7BLDrqZQ 8kZVNKcD6yDNitEtJmhnrUAs06eBD4GnWLNqWjRhjpzDJVK2VXFN+RzoNo3umbpRciiCn1gj+1++ ssUGz6WPjIXMSBAvWXtl1yu2P2MZVnj4ssdilYuD9ac//YD5PEeaJ4goiB35Xh0CamkqED6wy2RM 3hIfUtXlJIqO1r5E8bDLAk6scAo1eUtUKudziZRkNa5DHuFqzV5TOU4zK3BVKEWAlIdG47rortoA CuE0Lg2jSns3AMJ4JVZ3ONEcjKYRom9H/PzhCwpiGUmP2cIx6V3Lkalf/NQzSAXEDsgm2dO4YDYF hgKmST2ptaCWpdZIKwOg1drHM4+ICQ21o1UNnxtuwYPtulFOIL72Kqf1LlCdn1Hm10gZXg/GFud1 yd3hs9By0lukt0Rcz3qp2TNMZUzqtxX4WM03Mopi2Lv9UOZLXBt6woHKrpgEYtjK9VVtoss68VoE X63Eg1gTG7+RW8QhGwlmaag+/MfzizxU/juvI1xS46r4HVbAPs9XaiJpsI4d0mnNpyZ44l+51izq JIsURXiDTXBEihbV4TMif4Y8PqMrGnTBLeKMUYWHNF/gvM1VFE2PjmXfLFVDaEXZkteJm+p6sJuH x9Y2rsDZKTd6mA0nULnBJpRFlh5ZryyLhsKIGXx7D7N+wvXcc0hZXbpUGI5szgppDiXaOsQsncOL HU6mVi/ELQONiZvqPqfusQwFuZ9T1pKMfSoj9oRT/eaM7cSdk+KcBEYS1DXEPdk3i++Xd+ZwzQmk Z1THJFZxLi1icn3dHdPdrLFuxKH2ViLxlReqWNvNJFtmqYA8EkInd1aFjHTfUhvbRWD2ZrUQIG5M iq8vpSfzNRqB3GrV4OLpAfnwguVsidDjQAKCdy2yeeo6onqW4RhrdK6TpUpgolACHTnrM00AogDL svdsa+ssBFm6VMQu+0ZlcTiXWC7XWF8zkxEiS6z4Uj2Thl6gvDJOKkmxTAo9LH4HM57WQsMyXibz 5gqTKCulMnV2cAqdh/WwK1CXLeYL1kN2aLtCCofeoY33YihqNAt6G/zh32lBNfeRhaacY+KeSyAo BctlVUQ/oCvvettPxFd6KgTn1cbYFRBP907vevL+rBSGLri1xGmaE9bpDHFPg2DcO+450/HErHjP VNpTWx3jWBlx1rpqsJuBseDV7oQHkPyrqdmhyzjZjEurjLBZjc6Dd40JlWSojADM7h08THm8gddG OO/ZcdPS+swK83Mc0EH5ED7kFCTLVgR3sINoxClN5n1bdpiWnuEPO46YdyE2kvM4yEeqMEcP8rP2 +OHDDvH8FtVpC68pEac0XJRd/tjnw4jZP+vkq9IxyjErJEh/cCGr5IJz/Nx6MB0p3EfJi1rrq84Z VaV6WeMxhvAyo4VwbwlFTF0sRNn9M9eKSncC1I1TqJpQnV8qpASU4tXCRrG5eqhLBt0gCEcGJV7p HBrhspwROZ9LGbHFtMFJRtKlUqUxJEYrcrbOkPHOaHjZqtyG07BI2wZQsDSOqnS320neP3/+hDzP VMbG71At4ZQCnTp3si2HhVgBBpI6OSuQxcYc+qi+SRzESUs40w2qDMUR2MiU5Zf5GTAkMQLu1//k pcPCkGkY8PTxT9jcv8XAxnG3V2o38vGnn8BqqPPxLAzju29+hdXCx7Z+RhXdwmcalRlt4muythRs bgzPlIdZukbRshe4Db5UrZUjsU7pWC4af85lg9c3N1jONioLKKuzsj4aluAIbhQWeg7TwbGhCLRk l4AWQzvCH2Nkji6h7/EbWRJr4Gftd6loZkuSP1l2ckbNxIRPYNJ6XVMAJua58ZZ8pB1bJNuBnhTn ZDCmSne2v5FxEe5nhuQS1rCzBVPkrsj269iryrnhpCyYp6reVr6nWkKFfl2DBEckHrlR5ulQuFgp IMvpyLfTvMeJrKkDR8XjIAOFNa5nmCYEaZBrfrlfrReTGy/PJnvsg8VUuZuHOB1sylnOVtLzNVbz +wvZmYX1x/OW07Es81SXWKZrhRgEu5QxFLZm2AoTL8S9SNExwNuIoBMfyIZPEBOz8FOEUh5Ej32z lgjm75CsXiFevEXfFCjJMo8MZ5sMfTrf4Puf/2Ck0faE2zuG1VYwPA1Fnci1amed2PpSMT8/PYoO Yox4oxewpzz/zg4c1mdrMpZWN2vtWCh/bEhgzzN54xbYuk5ibrYie6x9+P6LqkHyLMHV1ZUypKqf 1JBb47bxfuhFT5w3DTvpGxUvUxbUVkpGng6BzQpVAwNBEqMVagtzc9Ol1MjSJjhxngQTUvourQcT SWd5qtdXV4pk6KGyu0Q4taoQQ9u11b1MvHFxJksYXuotVte30oTTuCVLNfLAmuWgcH7/UGP97q/V epie2P/Xi9e6efdrw75md/Lc6O6/fftOVniZLzHGVppw3D8A2VtU/hKoPfXHonVW5k+ZNfZQijG0 ER52X3A8HRAHLXbUzvkKg1+rQdz2xYYabF9OCGIfeTSKh3No2eBuLToAYkvjquRjCqt862yqNLoj CTJDtZ69kTUJclcb5cIsKqZj+SRqyMsT29qMmC1TrFY5Dsedhr5qOMDYC8pgOMUCUu4FQxMKII3D 5vpW68vSHQLElzlzmrd4wMvzC27f/1rFwCw2VjdOx58zYNW8KwvfmTY3ZSBuEsNacso0TzAj0Cbv k32K+OzsfLp2NYx8nmmStmWJrEGb8Jggxy75LVbdD6g6TpLhIArSSqyHPV9qBKeOBB6SkaVJJrwK 9djGmR55y+uX6qA6VRZMlQRc66k4l8A8Ez3kJhHvovVdLm4wm61xOD4iywygnjAe9nrntfiMpjBr PPxkhf7X18TSLCsiL0VlBnbQp4EhDIHmS6vR41psH56wWd05xnekyUXJ7OqCX02eKxvbLd/9lWr+ nv7l7y087jliyzBjPtOFP+ayedwXKnvxqzTxmOcxEn7EtSHZmAbo5flBckwKCPdEFBnV9cXWW0sU D2YWrUWMIwC46Mla9Vxv7vH2/i+kA4gbse1PHqWuqSdjGbXXkJKa2nbTY+WcxGl83sRzu719rXLJ U1IAACAASURBVI4vinDI9YCHp8fPePXq7aWKgorI2pF/JZn3nNjuulZwf1h5Q8P+t3/zt/hv/+2v 8Q//+E86G2/eyMNynQmZiVN5QiFypNpKSEgoILlaHZfHPRJ/ba4zB22SBFdx6k2LfcECaB+zq9eX iuz/1ZdhBT0OXQrvHCAdXnB/e6VCUVpJzl2LZlaqUT7/iAVDpeoRbWhTkY1TMqI8HsTZyMKFFMCx q/C0LZDMOaWEFeBbhVfXV2s8Pu1wc3ODu9uN0v6BF+LV6/cSIBUKlmx2ZgJg7Y4tbJ3ay7DzQ9GR 9byDJ14MMQqLw3d7DqMkDyjD6nqmWJz65fbVRkzuadQUlaD6ZHG2S9tJ4Oi1qibwTIbw0foP0cWe MBUKn2c1aFQeTGevbu5xvbQJuRKWeOayh4U2eiqjmBQO72EqKCUexBQ0qRo2zJJN9zgoM0A227AM Xsxzdn/9/scfcb26wcdPD/jThx9xLo74T9/9Jbyrv0CVvtcB343v4CfAvP/+AhdMIL/azzgoQaEz Qw1XH8cwrYsNb6Iny3IchpGfPn7AcrW6TAJWoXN5loHoqgGrmWF9fJ4Pz4+iiiyXN9idviBRmGVY oykiiyb07cMgpXiol9gdXrBeusnHOg/0/h0HScRFN42JSh3P2PQNcHsHhRF/Lsh//ldN2OpxfPmC NP1WnUzYLz+Mba8pMys36o0DSNSOR4aAmA9n8+VSxDzkJMlWZaHs8zS1iqE2KwSqqobnGtzJsFLB 2SE1b2rkYGMyyQ1fnLxwZUWHFofiAUnIigYWiXNfpsSMeYEcJ9Z5BpRbiGoVL8Q4DVN1DszIKhAq b4aSllS4ubm76APJX1uJHB3F7ObA3u/mXXeNDdylUiYf8sunn/H7332Hti7xm199I+iI9IZQLpw6 DbALaIsfHs64WnS4WabiETF+Zf0bs4OaEq12rrTShn0FfqshjzGHJaa36tnz/+fFa9KDG3Y/4P7t jRtVbx7cIr+yui/W+BGTOn2QC84WVRxc8PT0bGOq6kGuKmcnsrp/9nZjTQY7mzGYB1ttNPlHi/hK SiHxF/BnmUiOU72jaAAhx5swY7hzrrApLBEWM3Z0POFwfJZUxmGI1eoWeWzZpRPbh/Q1kkWIIA5w Rd6ZBlCyiRo7VlqdmGWgDLtRfWbIe8+laHgfm6tb13uIBbOVOmBM3UU1+HL7jLKucbMk+ZB9zknQ XLopJ9Z337Ah14LWMcup+OnuUzGxZiu7f2VteMX2th5FvEd2aHh+eVJt5ZmDLpJM2cgZQzKwvRA7 wabqbTYbnxA3J2T9g/XZEl7FRm3WSI82YMp0mYExb96GZhjgMpXUTOTktjVPnwaD8sHR8NNkaaXv NUbLwje28yXov99RIUxNBa0QXwX3+dzmSQYGachjHCrMsg32hxl8KpBspR5ZMXumMcM8cvipMf3l GdUc4EEcrUCNCl64QZItkBBkn6ZW/ysFFhB7JJyw/SPu5x7OjUEhAq5Fd+CYdmJAs0sXXVNG5DYy 40fai7Uq37KfusOZRcJ1OCe91jDJ1ZJlGmUn1jzL04KY413Rocbu9BnV+Sium4wgDQqVes9oJdc4 Md4HB0qA5GsZaGuho1Y3gSlxGUGF3IVhkC4z+pW+Y/tJJWz3Mo0Ts6aMwipZMe9oOQrBHV5rLdot ZKRs0IjSWPFPGvJQg1/UIqPGqRmRXr9H0df4cqwQhzXQVtgsmPrNNFCRWMBUxc46JT6TYmyPKMfX CcB80Qoy1CL7+VJY/O+8hJWUO6zm1NrWGzyMfLSDgbNMTYdgXSPLGZiFrNVKZjxSiKz+7Hp5j5vN rYav2u/MiwnDpQ5RcGXxuIDzJJM3wUXkBnzNMFpvcgm3z9BmppBEJMOGntIo4Ht/elRGi3QHZlrV PZSFsQDW1zMsPdtUTgnWzDVnnei6K+M39UAXRsTujMTInEcyjjqUk2WiwmSPKiob9psiGEmFRa4Y QxGr/E+spEP9pGxytLo3OvKd0uT0UEnw1X9bYsEIlgb8snxJ3CzXb1tz4tjRko3rAvY4n8uIDDOC 2L06dhRYIhiPyLpn9XqiNy4vVcA7EwGuhTA9IldSZIxu4xFNfLyv1Q+WamcXEVpbFnJxXp61U7GU Pz2PXfmiARoUYu1twPbOMyR3KU7lQd834bOimwxMBlWKHhSKaZJSizjYYr2MsXtpUA05umCGBeV9 PGPlbZGMljUl8ZFJmihm6c0b+OFKGEt12sMfWoQ5iZKOgT7JNBMTcYBwaDXOqjnYYAk/5uxBI4Vq DoDri385B6xHnbKC7E3FPlKuVztfrBCYWt5MVQvcK8oM5THlaLSQo8ms/Kpstgip6DQz0spodPjp gKiz64AuaOVJaZAymK1kKZyx7slRtGoCg0NUuqX2046D6cip7G03vc9Y8cZAiNjuSeHx8ZKJneoJ p+GuBkURz7JeblNyhm2cmCBQko6dZBiKsPk8NSnhMYGBJOyNMxRMRSNC9fyM+81cLin5OpbibZWN 4Q89H3VStfklevEBiOzX5QnBgfiXK8j9D17+2CEUWMxcVIcOFfrRWjdPpELOaEvCGO3AOD3H/WaB 9ZIp7QBZvLhMgFZ7ElkHq62aDhA3jAvAA2L9mqxeShkuTLwpR4yDjyxdYMRcnzmUT+KKsFYwT+Yi qrI0RD1+OL2aEBIFwE3emdL2DAMojuSSTGArFanhLxXmq3u0PbEVKiCSagccTw2urthhci8BFQUh JhbTYWzZUK1S0fE8Z0tca5ursN6lf2NH81A7INfm2SgPFqqIB0O3Xvv5NVtoGULW1tnQBhv0YdZu 9HgtgsE/4c379zYxyCvhy3OasD1rvzLNx5tc/l44UH3pmz/1yZrCVKPDWCUC8TGuFQ+WTUSSaBun zGGELCM778+4vQoxm1mlgvrt09sKVwLA2QIZbOqnttUcbmFdHfgidqeyFn+GdjhjuWAp0h5HlqhU bJdEjhY9ReNCsbvm0Odo+jVmq3fKCDblCavb1wgOP6A5Vaj7AEE6R6JWLz2G4gXF7hGrm1fokhna 02eEOFySP3oeB+pb9xtrZSNFxCTFjl09rVV1mlo7cGuh3SnxMPWWoozQu6Q3QyVO2WfijLWCGlnn Dr+u7T7TtL26W5w5yHfw4I+UpYVT7jSa5oHZ5w3GmOY9NL71iNOgEdWoljbWjUmG1HiC8phVzG+l aeYctJjNZ/Lw8IvhFjahy6blUGdwBNh6c6V9Yh8u621WuGHJ4TRs0cP+3GDh5EM1PGqNm+Hx+Qtm SYX1wgSNwz1ZNZR41nV0uzujZijoJonwRYvWnZ/xZs12HSFqzZi2F70FWs9fvpSVmd3iONRoih2a YovFao7V4k5ubdmcVV2//3xEWHuYxwvc3d7j1R2zRNajxxBFR4xTCO9bB1RnGRSP08K5CR6r1bWz ZpyCbPegfkQurWyZFGNSC5SOcrzUX/Retr+xwQDElwwLiANuYMjT4MIPZjuOeHx4wd3dtZSM/Z5N yQwLaPsA/uy3CKnjEqubjOfvMBw/qDWNDhqnUS/XAk5pbZWIi2ZYRFbBzhuwGYBWN2i91g2/MAtM t39Uqv5cVTjsLDTmXqpHuMB511xPnJevU5mn9s4U2OJcY7/f6oBE0W90mKh/Wbit8OsXZFnre/+V aS7CqiaLGw+N1pkGUCPR1R2WtXMkHZJJb7MM+XlieAzdNeKKNBL2dy9OaOtOk4PZJ8yaydEjsT1k DV7sz/DlYSue1XLNQ+cmN2nWQI9RjRh8lAe2ySb3bgmvf8HAsx3cqaSIz7r98mQdKNoIs9V75Nfv 5dXyxYOVw8fdjE0mCyU62mKHl+cOeRoi9tjiOwDSK/SUUY23I53AEl3qVioowLwtKXg3dNSAbIMK Jq+rKktc37LttsEyimBUNmfKZL5iGdgMbXeW98DSNHnWTMawzbFR9kVLIL2l7fZKCLGpgCXaXMsX hWimpIz0bIwBdmuo6pPulREK4QeeNnqs5F1adQzX2TUQ4F6zpxblSx0hjM/G3mbcM55rJvTY6oje cVufsHt+cdQaa/dND0ttfxzdJjSBBz497TFbv/43Xg/ftHnzaxy6EvVuh9sVG8wPiDPnirLKP1zB y68Fik2vyAd+/8ZaYjyfeozRZSaxFvWXL15n+/gF1/dvMJKjwlmFmwhZ2AqLsuxSgM3mWrPPmt7D +3fvsF6ygDXGyDltzrJb1op1WDYFVyPHGYqJv+JjrGyKy8STUSiRW5ZoKn8gGDpVrk89k1QG0/To m1bMcJVMsPRgpJtPLG8ajGCgMq0nsQ5SPOab71TWYhkna437QmxIim6BbMEQYypY7fHh+78BOPWE e+N5yNdrpEmoeY5shshuoCGntMyWKu5WKpj4FwH7X/S0mmrUNA7dlcpQWU1ZPvKoprUgnaNzc+Fm ojxACkUEy8VSK8vPaggry48UatkEYPNsJpD6K6taoULH9izkvZGusbh4r/Quxc1Kc+Fbcv1F7mwE LCvrW1RSSCrRYVLifBKTezW/w7fvmCAhJzBAq2ylQRASdA07iNCPMVavv9PBrY5/0BoWRYkxvEO+ /lYhMxnz0ekTdk+PuPrVf0UeMwNn+18VtygrDn1l5HGG59XwGOYwI0zC7GGnMqSfj0DXBIiHGmF/ xC1b6YRGnxDBcqoRdD3lSXYma5vrKN6c8CGGUiwLOxq4rP20iIReJr0Uz3VBsW4mW1ei04ukycw2 h220LT0ZtgOi0bVOozIULkrRMF4avaZHEi+RslFknGCzvBdmaR6ocbmsYzB5joWUEGeEtvtGyQqj JRnx1GocvxJUVZKmsNAwKbH81SzQstVT+xqbZs6BLHNNj356ZLeWUO3XuXYqmFc/f2uMKXL6p12D l2JAtn7nZsj825eyTCSXxnP8sHvG0m9xxxDKZ5hzxDKM0ZDtXHUYl98gSueWxeqBckwwLGxY4iX0 +1cAJbUulRXYY+vz/8B6tcBiw1Qt+S+GdzBUenr4rM1i32wOoySmwzidzfUnNrmY4RVT9Tb3TRiJ CKVUaMxEWFtkLjJB9klh8iXKRurJkgnQVP9NI0IqJc6+RHMLobjg89mNDkzFKdS+WS3NxnOYAmvz Su+vsNi8Qn/4O3GK2JKlIz2BtAXkWC7fI/6FAicAWpwqhO2Ij7sa71+vsdrMRVlkRpH9oaRkRssa 6eB3Ld69/5Vj9VBQpsnUhoep0JhpdIGqJHf6GmCpA+GKcHUY3BBUWuWJm7d0U4nkkW6usHAAqCZN 8z3qy2/WmUMWFKoKXljgUK+tHUsY4nj6A3yw0NmmYYscS2yDY742m4unaoowEpWDvDS1y2bniqbG aeixXGyM9xWMeNl9xNhZATi/l/3PZvOVnmG/P2M+5yTyAenmPaLFe33X+vrPZTsNc3gZvYUFBtIl 6CWPI55+/h7V8w/YLH208Vt4AetjTZaq80H4z+r6Dqf9Djev312ud376HkmwhRcYaJ5E1o/eypVI w9ijIP4WxVLABN8v9YKuGSS9QK4Tu3T4zuvfbT9LwbFukJQTYY5U5i5Zs5ittRdFx9kAwyXjSY+f fDN2raXBPj6f0ZcerjbfIp15WMyu1XJ7quKwCgQjOlPR0HhrfuCJYecc96/eSuEJZxbx1bcJ7PL4 6KEbqZjekxoHuPbOBtbnl7bTPCtUzmxJw35nnz7+qD1mwkeVGJosfamFFveQ0UFYIEW2/nOP5997 KcRa3uLEMVYPj7jOB7Rslxqv4fk2mmtMzCqwZf+XMkUQp8h+oaz+oxeF/tvv3sPCVPN02B2Rm0aL ZOO0I9zcvXZTP6yUo2U45RoRUuOrvYiGPOyw2x9RljU+/fwJ33z7Dd69f8MMqfAndiBl5nNq1cFM 6DSenoAeF3jq9GnTWdjEfy3AXaCjskmOZBj4ePryyYiIjrZwKHJ8+1/+AkN3xkB6RM94Q+AWssUK Y88w4+5iseviiOeP/x03yROSdYTXd5w4UqCqWLqzQTjzcBunav/CgtSGE3ZZIUDiXs/QplW/eXqX dOEvbHZ22SytuZ91adho/VjwzIPOwyqXW72TeH9fa8n4GZsnZ1Z/6htm8xMDBGw+5oq6rayCaWtW BzCbxxQ7M5QRNu/+C4biAwbOJPRbcAQ3DcGl/Y1rRkdgVr23SBKMQikE/l4ERfZjCiO8bH9GH1go xNCFZU7qcNqd8eFpj6tNjOeix3oVA/0OY5PDi61MTFlLEiKFcbr+616MT58+YfN6iTjqcXj5hLbY 4vU3G8RBifOYwY83Cln5mq9vTNnNgF8CGyUnJpF3l9c6zEPQoDn/jI//+ILZ5vdISVeoWDBusx/5 0iwEZxAtGWHj7iY+pGYmuBAwCELNmLRZCPS0LAxjXwaSWuv2a9rrMv7MejArC8hQLI1WmF1f4VZQ CmeHDvDloZr3b8Rf6wc/yxfq1cZzwjNBY8mOCTT43BPSSzjgggC/ok7xp6zYn/uusJYdW1jexfY3 9IjdZBxyJomfkkP34ft/djM0U/O4eb9sfiBeWqjIgd4RjW14fHnA8v67f8Mh+Y9eirmXr/HzYavM QluyT0GIgUMcXVhIQZpvbv+XrmeFlNTuPrbHCjdLu1mFD32Hp6cn1z0hFXdKnSMoaASHHS6kfk3O JaVFJpmSYcj1zTWqqsGvfv2tqyc0EJJnU50qVJHPGNs+Zxk1w4HMszAs6qQQhhynJXbNi3hVCkV9 AoGse6JCYKcBZr9EpUXKViQcM777gvKZnSVaDSuggqGDnno1yud/wPbxEdd3bxGlMyyWt8gDguLm CmvDST/wPWxWa/R9JEU8la+wGD+br1CUNV62e6RRoGJsa/lrzQeFIZEztt/LKk+sY7PEXyd628Rh sqItazdl82QsVIJBi26kU2FF+VSCYZ6lAPU5a8jYhe8B/fkFRceGd98gX95iSN9hV+SI+kek4VFe xlQDylIZ6wvFqc/mCRrtIXN1nFZ0zb1h5b8xwBOUtY9zM0fCgRTrNfJkgZef/geipMW5zRGma4xt gJTdF6hoyx2K7Qcs7/9SFByRauUxrvD88Y9IkgjZbInVb/4r2nKHof6IH//5/8Ls/i/w9tv/9B/K cTojneYOWfCM/5e292qSJLvSxD7X7qFliqrMUi0AdKMxArvDHSOXNJrxgcbfyle+8IVGGh92CQ5n BjMAGo0WpVNEZOhwLWjfOe6ZWdVZ1VUYzB2r6UZXZGSE+/Vzj/iEYRSwcrridLFazrCfR7D8I/ht 8i8V3a6T0xxOqSwD1beipBNPYMVGqiGKgeF4XFvYK0OgsTYjLI+9ZkJsOHSi1DVlkbXdUVPa9ESp 9dRposrgRZ3+FG1WIewfOsqPJdyAgx1p5Ld7MrQRO7I6+xY7OwZMmb6ri09zkDGrYpukydoFWyeD G3Xg5mfi86o2bEld5qtDE/0syRvkoaQKJwoqVVYNEx7uBRq/eG+qKXzMotGi6BgJctVBsVtiPNHR 6UctmggsX6DdH8F3qE0eSanD8kmstFka5CUO7x2iRV6hGCyq3pGYE9TGm0TX82F69eqsJiFzw/TQ 6Sh+is1/BiemwCphzKGCXkRKEwv+g72XqpDyjSk9Jy5M3X/4/jucnp4KUJTKBJan4DwpEw2jtvMy UDkTuOznsSHv6UnMEZDdfgyr66OVb5Bun8Io9KY5doX16lvszBVag8ewgkPsl6/Q7VDCRSVWiIMj wJPlBDcpjTOk2ZmmmM9nQj5OyaEkSdttX4/Ded1UqkYncUYwgtU/BewUFjFIRKE38h31BEibqAq0 VGK0nnxX21ktJkdRPeYVSgwueFrVvYzG9k3knH0XDjFueQ+mpxQMwcL1DoDMQRV/W08FFe7SKII0 ZTobuQQ8Vmghy1mOJYjDleD+OPljubLZ7GB2v8RgokjqZlluC1a1h2mkQH6GaMXBwhFa3YE23uOt IuWzBMnuQq4F4guksYFW9z5ao3sqedMaYRft0T/+OSb3nvzkNpbv6B8gS0P4VijXYzAg3o9wk0zU deOc0Ja0Np64scSjnyb/C+8Zy2X+TGPMK07dwmpYXfe2hJlC2qHt4oBigcszbHYLAQAnseqNNVQu zUVYOrP8zIV3qtNkNVnhXyslT+8h35u9Ym0t6OdrZIoSIesrsFzLWMBI95LZEwtH8LlV29U1Uj8c kuizhRpa4koCogqrCpMgGboRLeBe1R7fUJ49zThVgtmmNdHHZFdvL75haHpiY5TNL4TG8TEBS7Kr 3QWCcgVjF8HotXA5vxTHluYCWiwRCtbbaofEfpaOQ5PaHIMYqBwVe16FQhQmk5EEJP0dNYFbpn0m tlt652nPRuzPhYCrap7xPpT+Di80358ZBj0CI4OlIB1pLhHmbH4T/DdEFlIVdIHdLkbQ/xT9oy8Q dN5UqeiM7ssDw88ZL79BFTflCAGP7C3FqLIF4v0AXreDNNO+E0sQ8e7jqVj01AFGFF196XWIXTh7 KiGhHgUWywUiQlSqFTo1dqlRj6UlVtX5RPqQrfJ1TatSdQeZ2NQYHaXpkDMZMG2+1jsSu6WMk6VM 9Lf4uxsVCJafLOEakrCQ6SsLiTGF22XQvrW/ZCCQKZGdGUJt3Npod6m9nIkkNFCYXRjBVGzu6Qxt GFvE0RY2lWUtqgW04DAIs++TZcjjFcyCGRSt29mU4NicWZVmbiQpt/pTBOPPpUyNtiuk2wsEJgO1 j8HBkTgBcQ/t1gsYpUrcTO+xjfDTezqJ9kqm5kROLOcJB3ExHI7kwBEFFM/Hxfm5aJyrDLki6Xk/ eFA3UkcMXKqnlksloZLchQR2Tk7ZrugEIzmgfKeHfjfH3lpLFdBMqJupLCj3tNlJy8blISUGGzRF dpDRjT3cy9CjEe8k/pCHmepvqQ6/4L7qKqZRdJVsu9TMjQMSBiwOELTi2ApujSKZSmHzBbLABIJ7 iRpsrEr4XiKbXsMvdPCkGC7VSSMlSPGEkrWJooGMJFX+5GMWPwTH7VkYw+6yGatifx+zsmgHj8YR LjOpDXYGaQk50Omjw77OdoXzixkGE46atfEt9tviEkNtIfYygPnVHNvNFien93F4OH3D86wRrWOW xmzk8vxMTACUy6Tjbj5Is/MzSYNJm5gvt4hyC0eTLtZRitHpV4iSrVhMHX7KUo99HabCOfbrlwjs EuOjJ9cj79uryS4oh5PGO0Eu84aKSy7xLLWigB9wQ7VRbAfidq6TRw1s0jS36hGzpTrXvIHMtgTX RHWGCphTPdQ5gH+NpFdJ2rJ1AjgTeMUcyEl/UYRyoysuiGm5Zmrt1DTimcWRJiMCen6ghgh0c5aS QEUAG+E5Lm6yfVRhm/ThdsnGf/MwZKm7W1wiWhFzZuP0ZCh+g/zw7HUw0dpHNnJrjFbv+Pp6suPj uTrMwW4DwyCPtL4HVYXd4imKHZ2lGQw9dI9+XVuhWQik1HFkEs09zt7dev4aRrGVCVnkT+GNepLJ /PBf/nfBEh09/Bzd8QlsIcD/dLDiPjDyFfyK5S4zH9KttMfG+8OpHr87jVoYcMRcxVN1DplAN9Zv NciVhxQrDLmu9cPa7dPItI3BaCRle5LvhWXw/dN/hNcivkq1UUS+iBkRe6OWg4ymILQbY8URcFB1 g0YXb8l2RwX46LbtKgiaAo4KIM2uDV2r2kFHbemV6MxyV4ZW4pqkBwP3NoOc2nSN0OmquWzmsplO jq0yMhrZJGlvZBkGdS9VDmsBV/M7U7ZaYwrpbnInvvv9P+Ho9DE2yyuMDu8p5ucDF8fjhtfC+dWV KCjcla0JEC26AuXX3VoPqVnxfg0XuTjaCEeKkxIvQN8pcTAeY+Vp4PE9VSFtiMdsVgpY0jLwT//0 WxzfO8bDx6d6QnOyJ5wxGkYW+NP3LzGfPUOnrUGg0zvEcrfDluBE6k2zec0pHx/6osTi5RzjR7/G 0A1wfvY9cgwwoNyv38a97sG1u7RoAWUVBgfU+lZ5m/ctZobDk18re73OKgSLY+5YAyEpK1z+4f9A N4iw31FZgVQa5Usy62kAdgKsFRBow3GjbK2Ndq9buyqHMLuta86Y0xvhyn0o4E6nVOWBhucnvbrc wWbO075A0KZOlvajeFJSKpobmSciHzTRaqpBqjfaStrk5WYVaenoAIPjkx8dXvy5ixfPsJ5dwHOA wJsgjEj2Za+SmZ2LuBrBmx4hsN48QDmQ2Fz8Hp6xRLczQBYHMHMLq1ffIaGQ3NX3sj9yqycH1x9/ 97/i8S++EhWQzvBY9tzk+JH23o4fSt/t7Ok3AhydHjyUe9rqjWT/kxZjViQBR0jY4Kn19N+3+DNW FaLT4pR5jyxRmzSx6KKkcLsrpQ7taPvDoYzx9aDQQQOb2WzG875yekaOKLMLYTGQpkTtfjAj76EX HMDz2hLcLmfPsYtWyBHI5FmoaDW0RgT1RNGkgzb14V3qZ/F6KxFagLN12a+ekqoawuClFCrdZ2LW UQJ7OjjTJ1DkkliZ0OCXfqC0etOWC4VJhfjfUoNVfseuyyk1Nf3VU1OzNO1XCSxC0PwkerNy0uFC c3halS0Neu5jGbrwYv/8b/4Tvv/9P+HJF3+Nj10C5irZvHOwojIhb9D13+qIfXv2Le6NbHQGAX54 /UcEx1/ceJfxBHQDJPuVBMrVdiuBiqktP/h9GdcrI10acYIkJ8eLtBj2a1L8/d//HUADCdGUrbXF kwS/+cc/4q//6hcYPvgC6D1EtvwO98ZtjMZDybJ4A0B0sO2hZRuCYN9sMpx89T/Jw07eVW96D367 LzdSvm8drLiIw9mvl2h1f3FthvkTV0voBTppU9oDhQGo4MANtp39CdMReYY8IUkEpvSxSuc0OBT2 sRq9Iqb1zHh44jWcOcEiCTxAbdk45g+TFN38n1D4h7CoAe7qZC6PDdFCqrBHa8hAFyNO6BHpIEx2 4t/HjFRgJC2Vt2mgI9xobFYnIvio3+nyfI7KO0X/iIGh0ScvcXXxGrOXf8KTL/5GHtbAmk0SkQAA IABJREFU9wS8mGyu8Lvfv8ajL/4Gs5ffoTs6EKiAaaskdLMEH5dewcFc9JLiwkOXOKrpPRRRhJQP 0vhU3Ixb/TH6DKZliu3ZM3z7299gt7zC4ZNf4pNf/hp5EuGH3/0/aA+PMbn3GG1qj9cYKQno2+fo tQmuJJXUwTff/RHu8Vdi7Uaow9HDn915Z5kJmga9CmipTuCr8h7lcKAoQLsDp2Ivj1PoSlsbYtqi Rr0MZoQLCNUoTjAkn5NKnmSXsPnOnt1yhcFgCorjnM+/g2P7YmFHvamHTz6Vz8GH+4YaYyEJKzw8 OZLM7Cx14FQmRkYi7BbmYyzHCfpsfDIbnqf2wiIBdorcEXOrWIOZgl7VRIa5L/uflMKZHtwXACgP O2ZSV3OCf6lKygpKp5qsDiShoB4aVWhrs1Rxeq7B3dJaqEqs19Srd4TW1EwlrlOd44csc/68xZPg kKcIJyPygeqNRqXC3QWOBg4CT9HXj+8NsShCJJVipFwiTOtpVBhF6AjlwBPtJWn+lhWGo4mk0/xC xHZRKoTTkKwwcH65wGTAMqWto1T2XWqbotGjX2IRVjBaHnrDAFbbxKCtbiGVN4FPc9Byg+FIhcQu N+xijq4zJU593l7NJuTpxjL1hrz7AavWuNpcfC8I/NbovkwyRdst3SIwMxQyvnavp2QCpXB7cN0W jI6BwJmLj5+cVjJRIy9N+YAyOaNOFW3uDQd+J0DutOBmdNYGfBD46QM5sytSPCJkFcnNlRgkSKPd 5uSVm5HQkC2GY37HGqpS8R6l8oAI9EAURTnIUNR+WB7g6OgLRLu1BHu2abM4wnJ+jsA1sb14Bret GvVlnqF3cILDT34pgX84sFEZEZ5/81tMju4joNSyAFI1E1jOZ3DcIzj9AN3xA6QRtafoCxnC6JLk nsChbPfmNZavn8PPv5Oy+pPPBrDcv4Xb+5lkWTRD+eSv/3NtTJEi3F7B8dqINjPpPe7CDEO2C+oM YzoaYmdkyBOO+es+zzsWWQscuVW0o+eYnpgz9lUpT+R4SDbssdK9Wh2uG9VVDncCCv3VQF/2CVlt 8PoStKllY4lf/uK/ld+/WJ9hcTVHFO+kdOLfNxQe9i0lGPou4jDG/emn8F1K2BTokVJTsrzTAMBn jjudh62wG3g/6wEWLf8Y/IQSxew3VxK4uE6TkE4mQ64Edv5+VlrSo42Ux6r73cRitsSxS2L2Qo04 xMNUtffYx2swVzwQCZ1hmSkN/apEn2rEErtUjUU03ZuLHdzxcF4/Z5IC5j9JYBZAYat+eHmTSo6e c7Q8nRyxB5KlEUZeiBeLDfZRjraVIEKKKDPh2o4I6QnVpLa4qvzy2kmZk7BF7GK72KPKIiTOGMP7 XyELz3DxcoY4qzCcHsAz6KuTwnIGdMus9YYqVE4XyzTF5YsfMHz0K6BIKMKFHbEuWYyrnYXxPUV1 v2uJoQC1kfoMbJbQIT5kcSKVx0sU2QauMRNCbLbcIKK8vGOi2yoQ9GyU2RSL1ZUgp2WAwAZnniFM z5X4S2MKcyCbKKvUCiyLieRO0PGHoE2fWIHRpcZy4BLUW1RwjAD7TYYkox638giJkRR8mdiyq908 r1SShchi+gd2EScudinR39pwVbCqL+VLtmVANdHq9QSWUBF7tpyL+zF1uvgzfN348D6QLGEGI9hB RzIzp9ORkoLSK60OrcAeygN0L+ghXL9CmFF2R+48SWAYn/xSSiPFw7E/N5Rg5pch5k//GUW8hmfb 6I3GCA4YgA5h23OkOR9JR3weyXkUxQyxlKoQrZ7BxhZ5cIDzl2e4/9mvYA9PcLHbYOCXaDkmel0q ZS5wPgvhdmlV15hmvR24CIfvIcl28O0YBrFNtYO1ti4or2NhtVXKWWmrb4KIJ9paEXAi3Sgj8OHk A87sY72kLBIwny/hstTyaqu03NYpXy0+qC7KCncRBoc3Qn/QE5CtiOdRFECwWYQnUG5cIRONDl4j YcTAIcMYtmJE/ptTK1VzFfkpUbGlrE2k3pVVhZNTwoYUeqLtCn0PMjEYN/b7FPuQEJIIR8e0rVOe IauDJsmRzy7fWx2WVINN1UlFeoeeqB/ysDX6QW8GpwS79bImJDKzYb2eI94s4A16MMhjCs/F4pzj ftHfpuRmTd1gTdoZHtR66ktY/QC77bkKukk/I1URQVDgvsKw4+NqHSK1PHi9CYqKPS9N59PSwmTY FgWHwvaxzR1U6+co+8Wt/WSgsjyklQN7cF//k+UhwRCX83O4poPeuDZxeM/i5E5kh993vYTdvxcb MqOgNjl972K45k68F6sWNzCDf4x268a8MqOhgt9FkThwBZIY16dbKj0q3tgVxencrsiisISrMgOu 0UZnPJJxdVpuYdBK3fThEMSa5nCtlugQVSYlp+mUo0YOKumhmauCZ1Xx0/UsbLESv0pkBky3DTM4 gMkekXGFQXAsvS/COQTDxN4LBeBks9voHJ1gWm/c5iHaXswRbin9otr4DUct3Z6h41L54IHqtGex XGPbiLCYzVE5PdFha/Uz2MUNbot9B1rcF8lrDIc9tDqPYVgB/NZIMu2l+c/IUxNB7zOhPnGE3yxm eNy3nnMPbnUl/Sxe28XZDzh48CUKe4wIWwQWKWGAm+7RHd+H1zn8yf1hBUN4UB38xolZuakmcj74 DfFcPAX0gZV+Tm0oS1laDn2MjsrhyPOQVWh5R3j58hynDw/gBGx7ELwbS4ks5aSIHTLrJVXKEjVP zxxzYKkUNXZ0K3XsMbJQ1BtE84v/xzKPCqGFTltVKoZKEL4MiqhfxetOQU1mvZIhk9UiWmM66RTT k7odE+5T0cNi1cPeFPdWq+1jtwtFvYSHnrivU/hGEAU3Ri22uE3XZSOfI3GHZptCKT4fFLCkeXvr IVXJ4UI2luJIFNFKAFu0PMOUXKAyRVqw56TYJk65xLuQMAHyJ4lVqpvvNACVyAwDy3CLtpNjs13C cvrIMUTuWJhFO2TWAHA6coGp4d6s3PLh2xkm4wGu8hbCnM1bYLda/miAIJOHwRi71VzAasSAmXmI xPQRiEHmB6z3lIBs4pfxHD4itIkZs3JU+QyVkcN3fCXfUuWhHmWzRGwOA7UQ36M9sGCZKl7Isles sKg1zoCclXDadMNm1uAI+77V7iMhobQq4KSeBKgoTpCWnPCwzEtg20Q7E9ekzViFeNTuMSTP1nQe 4X7xGvX6clK3O8x259ivNjCCe6JSQHpOk/a/qxxWomrt9pPFMG0f/e4UbWak/eG1szg6BWwGjZIP iicYqrKg7ImP9oT6Yh7aPYXKSIAWniZNSXNsr75F0OsJQJeWbLIXshRXZ18D2QU6k6/gdw7vnFwL Tsk+AMoBynCJwbjCbm8gXL1GfzhAQkUMu4RLr02ri3C5R1aspOf1ru/M312Gc/hefE2w1/6jGliQ QNHwJemKxOvLe9CqPQIYRDnJZM+oyTAc08PhwUAI3YaTIM7W2MepeGay/yNTZvEKuLGsF7S83wFy nfTWdZUCSMVnsYRBD9LacEY4erUxiO6J2i7+1ndQEwibjOq6PEtVo020y6gwoll7PYG5NkIlnUiF Bm2MxwMkkXJPVcyjQpTQuFeFGeU5qO+VqDzUxr+Nh6FkiT/1bDIDWl8RVqCny2p+KWki/zQaUm+8 Pmih7RIBW6Bgalk3ZRtzgWVYoOrT9ujNX51GW1Tbb5G2eHh2sElJ6zkURxKxdSIa2GXNfccU0nTw 9Ow1Om6FddpG9/BTBP0pKtPD4uI1Wt2e0EVuL6LDpbGfLOG7Bsqg/84pHzdStN9IGfj+i1XCLJaw y9f0T0MSuthu97JB790/EjqPyHkwNIsIn6KEWbqJm3KtNR/Fa3XxNSv0e0dinbRYXaBIKkxHJ5KW v7z6kyhmuN4AfrsHl3tJ7NUoKULQKvl9Kv1RZoX0UxrLqgbzxPt3w6dUpDs/k/IhOXmkhE8h7+WV IQq7RFA3qT+4bwdg9voFimiOw08eXv83ldnhcLQLo5jh4off4/QXfyf/TaawVnA9nGtaEc1DzJ4H +2Sw+mgPP4Vp6XfYLV+hTL+DVWZwOo/fGaxuFo9zH4vZDI5t4WC4Q7dTokhXCHcRYhoS+B6VI3E8 VFWC7TKEPzi6c6/YZgHb40RLOXZEkzcKtdy5suVTIsD1PojFFsHDMjELlODMbIRifhyesOXQGaOs WL7tOR+S/q2Q7nPNzhgQSG+hMEAjwCjo+KJGuDfPCytWiwOWQt2W2BOGJRgvBgsCgvlMksLFZjsx VUKKJwK+JLm7FANX0XLnxHAXYnZ5iVbgYjSmNHVX+m1q4RbUHNcc4+khzl+/kPLx4JB4NhWvJIGf PEJqsDVei+xrsqwk/Uj08FvBdSNegqfxAQGLN3xQl0oMXp2+ooXv2ghSZ5rUQGcjWnta/PKCMaH9 uethvbHQfytY8VTJSK61Mlwt5zibtbEJLRw/ObnOpJop3V2Lp6vXfwAznWE0nKKsX8tARTa9yG/U YLpmqQ4WR/QDOP4YpvNj/BRXuFtj8fJbeqy8N2Bdvn6O86ffotUypIzgA1DESzw+nWD84ETkR2hR NhkfwqKGcKUGFRn7aNTqqs0rBYSXxOh1+oJMTqMU68US+3iFk3ufS2ZCcwi3TVlhX6yqNptLwb4Q T8PvlJdk/FOgkA/PjRsNMxTRtao95a4xNkz3a/kXdalOYdSKlNzQUZwis4gUP/xorB7XYHoPZaED ih/du2CIKj3ByWcaCN+3boKEJXy+dn98HTjX8+8Qrb+F6RxhcvLl9Ub/qcXWxpiJu0GBRB4elWSm AgcwtYxSc09DnKcrM0FZl3ZvL8kyCCmw9e9pnsKeowAzBZlOOSKWXepQJAKLbLLXCqgMiCyx+U9i 3wZ9eiiYSGtfwITN9dpWi03qoDWVLI2GwARp0piDh7AosMieurlX1KzjZJqCmJyGikqcPMPsT1O6 WAdcskRHLhcVk0ZgUYQEhDakSsDLxRy9jjol0XVquZihPxgjZiXEcltA2QoKlsyYB7Ho6dUEaDro 0MuTsaTO/GBXUhkIzpAnPqsRQn9gYcupYlW8P2AtLl6JW3NTAskkb7uRINCczLcXp3OTAfXE6RQT y39jbS7yFI6Pl6sC/elpzZVSkCH/nUHh6METwJjAWD3Dkw7xWTvMFj/Atj6FG7x7IFB/MDitETZ5 Cd9qiQHC26DNu3/MFMG1dy3hFhLQdvQYTk18fWPVD/6rH76B6xp48qSPMplhNO4j8LqoMioiEC/j wDPoVhwj2tEBhD2GNtKSPRLFm3CiwvtInqCofYq7DEuAUDYp+XPz2RnWiy2mx6eYTKdS7yuanWC+ rugK5eW+lpzRaShLRuWkqaRu/cFrS7Rc0OwKGrUQ7WvDDUdNYSUDJIAvYcZAO/ifxiPdtUjTeN96 9uwSp5/9dP/w7dUEK5HddceYPDj9ycHQ2yuLQ1TxHkGXUAhFqBLY6wfaVxTYAeECSYx+bwzfChA2 rhFvLQYj9kItg4BInYQpXceSKSozLsEeVeTqbWV/NVkRG/CErDBDWTHQBR0xhYiiHUqDLlZqBCHB TUq+luilMRtlwOA+uLykJVYX49GR9J1owtLJ2/X+lx0hZSChNWIDJzIvWhaSV6k6XKq6sNttBDok vpei3Kt/z99/RcxlLU4p3o8i/61ltjgU1VpsEi/oUxC0BTy7XK0UbU/gKfFwNTiUS7mvqQgfNCVj wT4fOb8o0ak5jnc+yTIejSMMp8cfvnnYTttfwexTgM1BmCmrXOpdMulTC8H4VC7sRhQ0Tfh6jCk0 gOVQXiAIDrHdvcK030cWX2A1/x7uya9+kj4k5NhCfed+tOo6XM0h784QpJ7ebdASdHa9AcXNmT2B phdwc30EXGgamJ2/gOm3MOhk8LBDRiZ6TaJmgEhDNuwUVGo4Joa9MRxLeVttcyCE5KJ+LdNxx6JE Sk/Q+7t4IcBYbgoipaOkwKMnX6Dtu8iSEFfbTT0C98Cp+H7JUpJIYRKmVReeDzCHISLJ0tjb1xMg 0VrnBEbslbR0kVNUCKz0Kqx5YAXtbz6evqX6VKqF9L7luayPEinP/rxVvffe6uRMs8sG9NssHkS7 tYOrK/LdDEwPOiDsR3uzDSZIsWCzixXW+wSTJ5M7pZh22x3cPMRowMNHe3jMlmRAEQTSZxQxyESg zyJCWKREoStjgFkI+6rsCz08/VwCKC3iKKDB1aJqAQ/SxUxUbLmn750+lO9OVVpmVr3uSHSxqNgr Web1vlWogHJE6XTFflElqh8MrMzGhJNbm7aKrI+ZSKAR+W/a+YWhiBpyX4xHNEwlQ0bZIjQKkZ4s waS1rAwn2N9/+w3G4yn8oBTLLpU60mpLe5wqFZ7T5JbyT6T/2KqNtk4zDCjTLN+hNmv+0Y0lCZgi XzsadiqX7fZ6F4XHKiJ0aMcFUgs4LeA/GWxJs/AQFS1kM8qylKoWwJH2eiUZwPDgWDWBNpcw/b4I mNGtpTs4xPLV5bUN0vuW3HBUWFy8lEDL921ulF4QOtaSk5ajCJeyKbzu+MZRhprTm9UbAUspJ29u cJ4mW8qyFAWCTgfG6BTtNES4/gPcjormiZlCrUXFgFJkJFpT411pJJLZ8YasrrBeXIlIXV5yiseG PH+uHuhTK78qRC/INF3RUB/2aTKRYxvGWIfUQaIyqIHlciYXiRkdy4RmAqV6WG8GDF5LLQFK2L6m 5YJuNpkJRHKKMiNgsKJNVcAg+5EkeU42t4szeK2+kI7ft4hBo8KsHUyvm/k/FeRur6aUeVdfTcx9 Kf6334o9Vm84vXktA7fRwmJNkTof+UWIfp/yNpTFBlyLbAi6D7Ww50Ockd2Qipjij74zs2IZCjCz UrWLRtZZzU0DbLdbuVdUz2UWxOrj2hOxDu7j4Viym/V2Ib9PGSDaV5SDNSLuKpbBCAcy1McSwjk/ s0hBaHCyHOrdUwKdMkE64WMxmIPcP37Pfq2AStksbfMI35HwoyyTyWPjc8jP+fr1S/mO5KmyF0VA MS9jMyFkRs7XkS7Gz0NqEctUgkhlP/q+BG49ONStWp5NTqpZFbFspW4Y+YyUMHdUTZckagYT8WF8 84LTH07dVohnurOUapSIb22GIt6g46bo+Jx8lVLC8LdSNC/MCszCEpW/F+oAm2xNidAdaE+ojCk1 m8LvW5gnlHpJMd8FKIwAs8s5Bk/0Zr5rMRtUi6QOolpZ8Xoz13rJnERyMxCKUbERTS+07psBb3pf m8I36ok/XiLHywvYGiCmln08h13OUFRb5KWSNaXJWvP0VMpGMTINAZspNg8GOuWyBCmqVK5VnGxl SMLXuL6LKi6EtuHYHRwdnooJSAMmjWLAao0RBAw8tBVLhB+pjrz1iNhWcrLeWx2R83poINpKX1GH OnpTVVZZnY6ZslPX3e9M4XROBe3/McsoY3hYiOxQJQjvd2e21FNfnX8Dww/R7bC56sHrsrH97r5l sxoZXz5U73o9y9rB9FAIzc1k9PZq9Q+x3SYixFflexQ2aSx9xPFKsHP0smRPpsPqwee0coWCZdRb QTXoDGClG2TZlWCdpG9a630p9Yi2anNYDsvNDHFCWyzqfqnGOSVc7h1+Ihpv4uZW53Eic0wqTUbi +V4OFXGZGgzloGHA4gsIFRAqV/O9HROrxUrej2ka92G7G2CzW0kA6KAj0mcMp1RYUIfn2gDWb8me 4D4JWjSesaRSIr6u3+tca6hJCUl8W+30Q74flSa4GIwYmNnbYsYqkjQWPwdbF2pkLGgDlrqGBe9t L9P6X8X2jCYkBGzf3PhSmNXUiBLZ23f1K2S82PxQgWJzhraVoeuquww3T+MBR+mayuthv3gODxG8 Tht+tUGyieH1brSyGKA6HkXBbFS7EFZnjMykWqWN45//B7nRs+cvcHj66EcpvWB54hitHkmShvTX bq+Gt9QsmRYyw6svMHsYfqcv5aDXqk0/a6OD5vtuVgv5XnG4w+HJYwQosJ2/4pOAUcuEGc9QOBxf q4WW6KDXDygbiKRl6LRI/xvhCov5pbjskFCdliq41wi4iVICs9SSGRT1v8gTU9dlZk/zdYHEHIqy gIkryYbkd9WwBQH5ipuzwhd0AqjWX5yMiQZT7fRMUCLTeT6QouzJ0TzLQWK5nAB2+wmC3tF7hx53 LfZEur0OMsIVxC7q7oClbscOvGiG3foPsFsHMFsPPmgKyVJks5jLPvF5jX9icWiyml+88d48yPjn 6IELl9Zk5s2+3C1ecAwCy1JSr5iLZmsYVQjbXKAqXexT6nVxiLKDWe7h2ARPspGearabxjLIYMYZ ZQpxoHqGVftFMpuRiWJVYtynqkcmHoC+3YPnBEJwZpbelIxZotQrIaG3OvJ3zOKoBsug0ijtNg87 99/F5QynJ6fai7Jdod2URoQo32nJbjjwBAiayOBGMq5ai1+Q7FGI9UYlbo6PDlTATw5g7XeRPyqg 5lqATw1FVN9MjV15aLNfzbKP3z8VRQtWADlclJYFX6SiFUZR391rN2wtUylzfgvpzpJJau129w3b oR/vsJs3Wb34I758POUMQVUGDVOahOLaAQOr3IM/nuDogYNtuBcN8uWLf8Gjh8eYbRfwu5phkZ7C g48+iC5CrBIP7b6WdOSX8XeNju4JvMJvt99A5VORkjwvos+pFc+bp+DCux+QZpzOi7m+Oke8eIX2 YIyDYQA7XWBXBIIvcTsTWG6Ay2ff4KCTIcwZDDtYnj/D0CMxNkdWWThsdXHGmylOQirZoo7DWv6J sF0dQHjdtuEVllfqo0hvQ540o8Gg3mSKqg3XG7EQJzh2wpExG/e1KurFLARGn4i5bBGvkJYbdewR ciwJqZU+EG1t5tNBV0B/KTd2rlMaklLphCMnntqJCzJZtPO1YUoFj8HkFFX7wUcHK1EfjVcw4iXS qg/H4wn9rlcb8pp+f4NerxJPwZLj9w9Q/eAebUr4D4ZZvON1d9GwvM4E4XIFp7Kwu2ojcDZixMIM NYnOZL91XQv94AD7dInteoFKJHZUi40Ndent5tSxV9qNSLK4angqTtuSbaeiusD7QUsuGvOKVpbg SAvAVZ0og3zXur/EfhZ5uESa898ZFPn76Hwtw6zarNawK2GQ0K+R73F+do5Ot4P7Dwm+Jo9RD1KK /qmiK6d2HOZQnaMlf7iHX5+dy1CNrQ2ab4ir9Z5mF6X0tvjf262OPCMUENBAHVzzTKUEpON2psoZ oqfPyGHVmK9aVqZZzfOrf6tSUKIQwv+4viK2ivZELczPXoo2Dkmody1FpgL5xe/wH794LOmpTpv0 AqnUK3sQHpwe6ROmpKpXy4WM3kdP/haX86cwypDRSB7QftuFzUlIWeKga6OavUY428LuHsIRe+yb D6xCYjeL1BhRjQyTNwLSXUtlSF5j9uIpHn31d+i4wMNHU3T71HYiqDPDECaePZ+jXKrz8M/ujQWT wtOVk5PQBXbFQILr8uVztJ1CrcKFT9W6do4RniSHCgLuV/VIfk72L1RTaoflusDo3t8iijYYDSYy RdzuVqIiut6uMJ3cl02pxGpa1e+wK330iY0pMrTcAlUUSmOXm0Ndk4GIGWe7c63KyQ1OBUme+AxO ImzIvggBgYaSWMVstoabcKsw9d+kGY57HynGWJfNIUtW8xG8zpt6/nctr/cAq9dn6AQxjILg2A1M i8YgP/W71U+RVJtCLNze3/cibejshz9cw3R+arV7Y/nD9eL3/zdSbDEd35PfeXE5x/mCPScXV9sU u/krBJ4lOmz7cKfmI6MjTEZsGmtZJwwXlls1YZ0HPCEA/Lu230NasJRSYbz1diaZMLFIjU1Xwd4l 3dd9goUVn8gHn/davAbpEEUMGJ0ODAcF1Pfy8599rkqyMESEUu53lWETXej9qsnScaKO30K0l3aG /t3z5y+UBlUHK+2tqpEIG+qy72tXZxH3qw1ICBT36lI2kD6XEv5j08EyyXHYciTgff/DUwnWFDMQ yz32uhiQa6iPgNJFE6uEzdS12x+JCgE/1PT+gx/dOMkUSLMQudUS5fYCD44PJHMQEGJdUobxXiZM DFDfvlrAmVLSt8CO2tNBW1xXiPDlSMsjoZSNvc0C7VaioFBpugH3jxjobKzDJS6uSpjBUEXkiMSt 7YxuL3WitgTvQkDr7cWbTzMDPpzRfivlyeGDJ0h2S0z8Ar2eygVTTIynukzrMhtF60hgA0/nG7Sj TJqHSdLCchNjdO9Irte9BxXaFs03dgLeE2MLaR5yusTUlzKwqdohSVpL9ju/h43ZVY7TL/9nMbFc Lgqsvo+F/G2Y9G3z4Q0OYHQC7BJSLgrswxhPX67QOv5cBP+y5XOMxi4SQU4TWKgTHWZvvZ5K24rr TW9Qyy2rXRc3tVo4cSKirkDyOqnNtJfH/11UPkZHdysT/NTie3SH76axqIu2qllyX5GyUzEDDdhw NZBHlzCNPpzgQ2SOlGL0IZir3nCC3n/4H/DnrP7Rz9Dt2NhGZ/AcC3brU5wcP8DTP/4rjh5/guHJ zbXiDmydZEgWf4LraLlOriUPQJWcKeHZ2khvdQiB6UugiSmjwqYz1XA9B4mRCA6uova6+CimEgQo VcOMiv0qZtONx59HD00GtiqDbVEfi9r17HlyOtlAk2qVFMOFY1HNlWBPgoypQaVXsXlO+J5X87nc I8+2JNAulwv1eaTzdO2ow+BE4U5yfdmeoA09AynBrMRsSUNeaHkcphnoeDaGddZOYPLh4QFev3qJ nPs6z3FMwUT5vLcmnLVZq934wvFBZzdeX/fmzedkLd9cUmJe+kWPjxkwKm3IBa3rkbmysWvsSmsk v2QxO8dms8HB0TE6h9zEBky/h81ugz55STSvsHjBQ+Q55SgqaejxBnZbtmhwrzB4r0aXZFh0Ka5R 2FwMXkyf2Rti3U/H6GG/jSKN4aYX2FyFGPzsMfIilRT1YhliH5cYTI9Run3s1mtHrxRBAAAgAElE QVTRMB8cP5HvswgpFOigN51gv11JX6naUcaWEzlSLfQkFq0vGlpEkUxm2LwNwwxBQACdKnbG+wzT R38v8hrZ9kpK4+5wol5xlAautX/SeCMlcpLmuNpUGDz6FSwSSecv0HNiGBV7Eopp4ebV6SBF4nxR IWV/RKSP80LukfTApPwjx41ctlywQY0PnpSu9QFA70ndNH/JxakQDSgyZOErmOVOhiAmIgS+Bafo Iib1wwhQpHsYNmk6ivHRYUDNg7wVnMQvcbdDp6cmuf9eqzfS3lZl97Cl0F1PJ10j7pec6iGkTvFg VLhLePUaRwMeUkoI9ojFc3zM5ktM7/8cJkXt2JtiyWTEIkjo+wQ5l8jNROVb6ma7tsUNKf+aDK0R qJQynvAVW70JmSWTASG9KdMBvAzb3Raj2pj09iInNS9q53Rx3Fb4T+OWzWl9u91CSgR77ZEoMjl1 pcN/8jAWYwkedJsN2pMDbcJzUBEE6DqeihhU7N2SLhbLHqPxhjjGl5lgtajMQOzhYNTGZkNxy+4b gxoZhDGj5oiRU7b3TWQYnVudAOF6jknXReC7Etl58RogW9PE5duutpGUc4zM/EOtG0WZ69ajMy7/ SHDbXCKj5lNAF5kclmNJVF5vNogj/m9fUv63qTW3lzbQVTWTQUo4ectX+rnGp/D8FrYXTxETrFda 8MZ9PBmylFRX6e0uQlR10To8QlpwMtaH6WtNzb6PGCH4LbEld8wSO/Kotmt0rRBGS/E//CPaVY0i QFIgM6ntdB/b9VOMEUqvIgpTwDtFQepEGalom6OEYKKE2ZPhBqRrsJ/PhPW/igJU7alc23S3RLF9 icEpaSfcZNoDYb1hO1RPtYQQK0RR4WBpA7hxtpGpjuiWKdKZD4yyAChLHCEpFFvDAQzv3V9i8d4U 6QbrxQW/AYwqgV0t0W656Hf5rdTggBu/TdPdaogU3B8KC2j05atK0fgCYrxl7c6A/eNhzL/P4nNy u98lrA/Zd3vEi+fCaRWjE06N8x5evToXaMFw2Ee4jfCP//g1jjZdDO+7Yq4ymE7x8LgHq0hgl3tY JftZdO/hAWNjm1GpVKubsta95z1uhimN/DAHOaWYQ+i1SYsIntmW5ve7+ntEvzdimFFJU1v19tQS Xntueuhr/4m/R8QiKQlT/x6+NaEKgqciWLw5XcpKMn4GGcvqi0a7Qpk2SPdb6amyrcKGPKejnOSa RYVOp3NtZS8DIFGR0DbL9ZTwJ2+2GIpy/NxGt8UPSrxPS733VgtBtnY65nVDfp/peJI9hdH0SLKd 7NrB5fb7qqtyUjpYG1Mxn3QNZnFLrLI2jFqTPVqyp0GNc18Cx482Uc3gZx9py7ExhfrZDO13Md+u 0B5O0RoeYnUeoTt9gDgPcb7NBDdG5vo2TBBXBry+gupES5o0gShBnlP7WjXYK9JoQorzO2jTkXh2 hSrLkVQljo9MCeK7fYbKHsHwjuHYPezXC/S6znX2Y9h9FJX6AbbH9zSdT+haHItbi4yPd1foYAEO n5Kqi6gcSNBZL55iEsToBJpNCDhvT0cSklFDOLmefLxObMQydVeuooL4OPnhfmJfTNyfSMtpUvNa toUIbDZv7YBo6Y+DMrxrJfsljPg75Fuag6TCR7OpAEB1S5ua4aFsSip1en4bJvaoigB20JV+arN4 GLCsJtuC2DVi7Romw59DGWoWSyAeiB/Dj+TKoiuU4TN2UrFeE8Vuwx+M0XYqlNYJrIzaWnvAZLOZ vFEPj7/4j4iCQ5h+G8HQROX1sTKnsIwhrCqCW2xR5QuR3KYjM5vewu8U5+2dglFT4sFSeOKtSXs2 HSJJu0ammQSIQuSHHNNHTkrRO6A6ZcrXEj+p+6DR+S8JMa/1+S2rxpLJAUn4UHCjQlEf1uI1QBFD thzELa7u20q2pXhEPv8Ttp6YAdYTRgZiOguJf0Hdg1QdQZW0ErNYErWFtG9pwHq77/P2yuM9hmaI oOULsFH1p1VWdZ9mcFptJMRU5OqIEWb5tV8bT0N1I1aftdtLqAvtA5QIMTFj+KB7zR5xWiAzusjT CqvZuXxgr9VG+xao843Pl6bSUB2QpkAwmxBPO/jDH36LUc/DLgsRjE7QP/6ExwkiSnKYLkpngMXl CqbXRkv0rXjxfc66USYRUQsyiOCN2jIw0/Ow10efGuocSbs/lwctuvwaF+cbVO4hOkOablLW2ML5 d/8V8XaO4Kgt32u7S2G37yEIhugOaWCpJqF88EiH4Q2ixAmNQYjLmq/XSEBowB5utcMB3bazvWQe DM4ca1Nql9ieFu2jGn11XpRbTrw0G2gkZxsnaHXrpVKETmZUI14HA+tNiJOff/VvCgK3F4GDRRSj 23ZRVkrN4IMhbID6c/HhE4fu5AqmtcU+SeHSqPZW5s/vwKxBHloqou5X6A4OBNLwsV4Cb36+jxBh vLXC5TMMuzF8r4Ode4rM9nBlO9hI1s8DPId9b4gJDTPi1zALFz3/FEtDq4XGVEl6wKRuGT4Ss4+s HGBqXsIt1CBYGAhswActOYhEM33flWdN/o74yYT2X65qUtUE5QyJqHpQfC9KN9I+oNksrxUn1Mv1 hajtiqRRpsDUxjlcStDdRlo+fDNm7apvxQGVApKbREdxh4botyvvsh681X1xcXn2me1RlI/3j0h4 Ur8YCBvljMb5XFUZNOtXIwrp3+UJKsOpM6z3jq1LjOwQfcE5KRiSjTLh/hAK4bcwbreFO8igxSlX Z/qJlIqEIRCMp1/sx7+DF5guJvPn/4LHDnErPlyngm16mM/2FIBHfzxVp+CgJSTp0eHxjzYXozMV UxvLKq6qcnHv8ed42NkiSkusw9eI1ltstlscffbX2L3+BlZwimCkxo+U1m1+lj0f9kWoerldLuTC b1dXOH7wiUjV6uAX1xxHq30iWCK/o7K2XBfPv0Z38hB+5wiW8QIcYoaxjyrZ4/Rnn0rvhjK6Rw8+ uf69DBCd0bHcvM0mwvnlJSb3ezC2z1CyXAgG2O23Yh0Fq8R88Rqvzp7JDWb6zROYvaoG9S8TQdOU yQ57YnJ4CPpazQWIzRKiqmgjKbaHwaTIE+y3S4w/nJn13rWeP4Od7cXAtgmqxAI1Zc2ARhDMwsUR 2sfVMkfr4N6dWMBG6mh3+a9AscC6+Bym1ZGgLxiiP2N9DKr+9hr1fbQt4reGMIq+au1z/zSOxWDj 3EFeBZg6BRDOkbjmXY/C9aLJQ2T2sLYcjPE94mx3rTjan9CPcY9os8M+3sLPfIQxSy2djnNap33C WFxyqPrA/qtVtYlTQFLs5DPKM5yXGHYPpZ2wXm7kvtPTgZkb+1QEqIpmleVI70mdwzP0B+p83uin Na1xz+PfJ9dOOo3xSyMjkxL75xP+5Ckn1bi57rdFCSRoyc+yF04XoULFIesD+LpLqaNNcq5CGCnl bW1pBjNlW0VA29NmInstJDTzolS1CD0DBRNS1qRJ5WN2/hq9IR9eE8vLM6He3LX2m7U8XFT//PrZ d+jYO3x+wrLIwfhwiszwcPb0W0yOT6WBxy/24k+/lynh0biNdDdHlhtwJ49FI5xrdTUTJL3YE8UZ nhMrEi/x6vwKcRWgMz1FkmZI7D4G5F6Nj27Q3vVi5sNGIHWYePo2ZpHvyjiGUxUEvI1pI/eJD1K5 /x1CM0ec9yV4+/2p6KQTxHg8PkAe75CGGzidsQQUoQ9RuCwH7n32KxThFQyL0rMR1ivp5sANfLx6 /QOeP/9WNtLR8X0p0RkEmHrzwec0ssgjCbwEkHLyx4Y+N6x4wTmueMg1DHzSKEgVYpCj3PDi1X/F 8aMvpbclmt0XLyWrOzr9tKY9/dh0Qx13OAfSR4/fY7M8g5FdimYSR/K8L3wg2Ke0RApX3WJ4KovD L4DJmA4v2l98mxrVlJiDbgkLAS5m/wp/8mvYzk8Q5G9/TtFdunH6+ZilRPUKeUgi7xQ7DpAyG8ot uHsllYVF5aNH8cL3SCy/8XuKUrTQ2YuyfTIRHMmSXr5+qsYhZopdtERacliVIcpDuJkj+0TMTZgp r5YS7E7ufwoUxEbmsCvS7RzkJgU1IUGNgxdO+0aTqdLK8hz93lD6myxHmcmJ8Sold+IYXelf1fe+ 1loXXa2SbuqxutsIHlHxZ9w3Nts5ohqiIFnFmWlPVd7hVk9SfBLF+ZnekgYxGBIM2by3OUqUmrJI sb58hc+f3EfH6WC52cLEXCLkiyLHN+eJ9JfGwxaMQlN53whgSVpXwrept17i2fPn8IcnCDcr7JYz TE9VHP+udXuqd/zoM4TbJc43G3Q6nJxoFL//5MZtl436g5NHSNmcNmNMxrS1NrFNLrE2DuRLD5iR ZSm++e1vMDm8B7szxKDfQXD4C6RWWxrO1KTaLC5xfEzNLFf+3F68+OwNnL/4Qf7ZH011vPweys71 RuNrTAsHp0+kr3D1midvhqB/ipiN9atLmQg22QDBqR6ndLX6hSiwbtZSMlpVCivfIwflPDaC9xqO p3Lj5rNLedCpRcTnj1LFu00oPE7CKTgkMU02Q0ko76qFlqjDKiGadI7LizPBA1GaRKVmFPJAWV7y utbnv0GZLEX10bU5Kd7iVfgDnMEpXMPF8OD+9QbjoRrvN4i2S1TFDlmyFh5ct0VlAQdRpO4oon9U Y6cULsNDUvlkDLQckbPs2S9ewvAORDDw7bW6+AGjzl5kXng//dbd6iHvuEFYL6jf3lPg5keudL9A vn+NfruNyLmHZfHjnupdKzQHglMqKVz2ASs2iNU6hpNQwz/UMgyVuGU3Cr+MfbymbAswWEgzvhbh Y9a8TTbyoBPmkMfsbVowCcmwXKFdWSb7YuSN0t5Lp57EI/L9mwkxVR1EhND10O1Sfz5Bp4alCEyB U11UiGOVSm4xS3ddyezYm+R+Y+WUUghRpJVVrkfZDzfPUvNsNYKDItbnOpJ5872E3ibKpukV7CrB 8XgAe3Ry/UPjYV8uCE/ML9usKdWvjrZDQtiUzEqVAAU34rdgFwWO752A7mGz2RWOnvxcaSYfuFrd ISoMsX3Pa9hv8zxOWL4T2dV2b4R1uBeDhuubvd/CtU303BJHfRf7bYL5cg74hD8kaHcH+Oyv/k5p RBxJ1zbmzeIDxayOiw8WH2Ry0T5kyXSj7kvx4R8ffYqryzM1h9ivRa6HiqfN4muosnlNjwpJlyBc wUYZrURqOqLBLCwYToWr1WtcnL1Scb8+vSANrBckqhP0R93vGQ4O6T6s0ARKcpQ5ydFLBC2qjCay 8UnJoWJlfzSRBjbvk0PUsciD0K6+glFcyRiabtyC4neIdXsF39qI8sAi/gYpxQFtU/qOvmvh+GiK xdUMppVQuwXhtkC0NcRLj9OgZvGBYl9mJ2DXUkb2nJj64nfoYTjwkBbMW94MWHnKXqq6BEXxHoZJ ztuHTwhVtrgp6j9uSa/NztHtFPCtFDta63xYwiSLqqvlB37WujlRK7Eyy6UdnPabRKbYZA+y8eZs eIYRWm1V/mCVwJ93PCo2VDAqC1YZII1ylDYn6bTkok+m7m9Bo9e9KM16bqaSIh0jEkaqLMpmeSHk bu4nnR76PpVElROp5lVsOxBfyQBtoStyO3S8NnUwIL2uuhcmlBzd//LdG81BQikcG0YkqpNSXdiP JmxY6mmvwUr7CvpDNZ+o0ulBw7NTDpEiuWVSxS+e6IN+1LWwWK6R9fUh+EsvKTMWc8S7AnvTR+S3 YL5Fq+ApoTCLAkWaIYz2qExfPNVuI+GpUd685+2lbsg6vmXv7OPH3no92W9Yz8/RnxzLxK4/ORLP RbH54nQ0Cq/fnxgs0hmEbtJjVpZLae5Z1CCLRDIkisn0vxIaRTughDEVHxYoqxgmT1DXRrcfwPU5 LjaRVxFslmlIUFYhdttMVVYlkzIEW3Tv4SewKoIaualVd98QcTUqvOp4myenH9jX9A86TLOPVhVE pmdwfA5IEqyXO7Q7pHeQetGCM6VzSyj2VdxQ7ImwPGgaq821l3KwbuY6wQRZ1ZV+CQPX24smBq7N vxthsYqE/0nwMbUoRS7YJwSFkIA3QxIn1UWyAPIdVpcrDI6eSPn9UYtZRRHKVC6z+lLqfcySffWB EU6fRU79CklfCRxGZaHlDyQAWaCuFrmN6hlJGIqojbJ9Qe6eOPDQu1NtuzgwShNKzlD+SYMY75ng qfgcCyWrekORlpWKehvq9eT78tlir5QJmLrdMHBqzMgJIi00dhCsTSBph5lgmSPP+dkygUM0ggQc /jRaXQ3dT/8ovk5KzP1eniOWouIGpNO7G3XGm41U15X1dK+B7wuxmWNMKQXVUp0flg8bzaZ8z0W3 3cXTH85ExIxqlcPDE0G4vm8J0DOOVEFA3DrUKnt5ea7yM7fIyAUZ/ocPlFNYFthdPoU/OrkORqK8 8OBTbFZzjHICQ1UrnJt9efYtJqc/f2NDv725pT7/Nw7IeDolqzMhgHNDcMIp2SiFrurfR7np7kib /YI1E3xaEyCJpTGwOnup0iGBh9VyKc11xVj52G0ouEd1AVtMQImAzmEh5li6JNlWjAqBmKUB5VMc eK2u0DpYwrUpQctROB8keZh0o4r+UxwLoZZBSkisti0AYJ6uYk0vZYkSctk/o8QuG7Xb1Uq+Azcm wX8UlyOFQ0CP4saiwEQZd9dTKX4f9q9Md4TSewjL6qBgFnBH091t9WHyM2VrZMkfBcuVrv5FdNDo ZB1uSsxDqnN0cPDoV1KyMFB5NNWwI9H6dwJ1Hf7YxYeUCgiOOcDSmiArPw6o+jEtM94XigIwczo7 m6Htq07WZMDeMLDerOF7bRyM7mOzn0u2XVQJ9jFFALUhzlJbjI7Z07JIdt5Lpl6ULXhkm7gO2i11 tVHAi/axyTihcgiztOaAkftDv8cqExS+GM4QZW9Q2YEinQRKq7KqBD6WgmZHemD0WWxwmLwGBKTy 2ZbGfv1cXA+e6sDFfZKme5mISo+MjA6a+4rvWK5GnUKWJQWGioQMUrceZgXAs+lOYFzjkkFvN2Wn N6BJvvLy4rWUYmM/xzm1nSNusjftsxicdhs1T22caBj8+BBTl4oNao78F2817fm7yXPkZl9fXWBB 7mO5x/2DR9evUa8zH0Ye4cViiWdf/wumT34JG3uY2SWAn72JlhbVU4r3cXLVEKf/jREr22HSNXGV MdNUIrdghmpeXWP9lIQ7Cc7xbiM3nlrlDla4eP5HrJfUho8xGA4RZUTX09opkaY1EdVRdCWpOVHM VBChvA9LzN1mj1BcYVzEeYltVKA9uS+aRz5pzyUdpYnfYfOLGuk3ktbXYnhUi9xvMRxNZfOQ1cAx Nzc37ZZE3peUppyWWRxpjwWaMJtfqqplo2VOJn7QwmazluvMA4lTy4IuKXJqa0/GMF1siz4Cm150 Ci6+80EWfqGNLE7gtA4REX6CEC1q2NsWNsslhp025rPneP3HGbp0cx5Y8D3SSGiaECAYHNyJ53vf Yh8yWX6Djh0B3ftI5Hj+uMLSblzLP+C1JMUbcOAYHg7GB+h2+nKQCOWGmvW+q4Bh9igJak5W1zrx Yr1Vgz4nB4eS4TDQspXDhrgz4LXqoMwrbLYMSHsEgSv0MyYq+91SMikh629Wcq3Ew1CA4gxYFgz2 DFPuQQ5zUhkk0fWJWrchW0SuixZ7lXEofUvpZzHoGAp0XYtwJfuVjYFqPdBoimEOvkIlWTd7RHBY atGjeB2RlajLQHX35cbTxhsRs8R4yIeuLXnKa1vp2gFGrLwKfPazT6U+plLAZNhB7ppIbku21Pgs 4oiagNj0xBio2HBmBB9ODjGcHv0oAxIZDZ4E25f47/7qPnZxihfz1+jV07pmmuf3D0TGpnf0RBrZ u9nvMJoOf/R+/L3Uqv8QPtq7ljg3Ly6xm71AtGGZVsHvjtE9urshzGtLPTAps/Zr9JwdwrMfsNle 4f79CcrsFVxbScyOy34DJ5U2ev2JSOnOLi/EfGM8PUKLgYqnFLPhyhAPRJZ1TAlcNmKrDB1HFD3E /ks3Ru1C4rB8I4iT0rQOzJRifkqAvZrN1H2aLsEsH4oc0+kUq+VCyg2enHyt+tAZ6A2HUv6JX2Nv UEvqUm4I8j34HViSCv+sxhWF4U6t2OMcdnv4wWmI1x7g6LP/UQL3+vJb7MNnmE7aSIOW4NIoWuda W3RbgVChktDAZgt07v8VWoaF3WrxI/zh6+9/JyyH4fTeG7iu/foKyfz/lfcP3CF2aYXUKvSCfswe qbOYD1kpHGQulTqJyzoT0b00TdH2pvgv//AbpHmMxw+OgINpneHysEuRcCpeETbSRbd2J7raXggI lSV2mmzl0DNaKYzSxfc/vJAM9/HDeyr4yKy8nlLyPnJ/iT6aaWO9WgvBmyke+a4MfiJJZLRxvtmj bQC7zVZiQGg7WAirxZd+NqfNbBPooc2kwJC9Mp7ciCk2vTP2XsNoI+UlJ53U/RJaGZ8BteNRFKk4 a7yhh664F2ng1Z5z6lqiKGUGMeGfiSkiCbYEJKqQGmtiO3AEV/NyNkfqlnBbN1kWN/Pb2lX6O1WZ gfpUDe3gjhcJnsObPMLV4hKO30YcJTDYzylLsaFqonYj0cs/hXOM7TrCcNCUwW+86d2b7AMmgyyb yVEMyiW60w7Co0ey8b/559+g+cZ84OngIw11wheC4BoIS6zL1WYDpLSIKjGbXcimY0nEjIn8P94H TgnPz14Ln5MysgdH99D29KFh9sB7wNScUxo2tdmEZZkZFltVdKidlDkR4gEjHDJOjWtJHiG5ymlG EKkpdlfi31ez5/Uz9GRqw2DT6fSxp4on77Vk6NRvV60xXjE1uLBhs/Tr6fSSn50wCu1lqGW7qNo6 Fra0NH8rE3/f0ntLHFQP0Z6ihpFyIrMc/T4DpoH9lv0zG6Vzgv7Dz6UPtVudoUojRBsD+f45jHwN 26lwPLSxS77G/JkJp/UFepNP9TvkL/H45ASOFSArEyT7C1RBH6CZyEcsQoCKDwzI4shZxOLALM31 KJG2QFot8eWXD3WSutvoqJ8YrKADiwMkKXK07yxDJbF5JwePWvMWptMjNbagIcrgAH/7N78SFVQB GNucLFO5Q3udVVbIwSu4KsOUYGXdcmfma3Zxgr7j4PHxITrtrgxCeKBKcKWJcUXHbO1r9gcjwXmx /SEO1Z6Hl69e4+FDmujSgIWsAG37SPwg4br2RJCMMYzUkfv2OJH/YIQU6Vjp2usDLxibmojKDEd9 7WpMi1073MaN9hIJvIyUrIFjnEy6eL1JJSu61la6Pdp8C6V8W+fofct0O1hcPMNpf4xuO0VIegtr 9juCD3W02il14u26V9aWsoSChe9Ww+TEL1Ge0zvBtYrJCdcLDFomcgqveSSEOvjky7+RV/D3iXWS 2JvRvqj9hsaU47fQPfwM4aKAY6gz874EPBqXlqpESbXRKOGEz2R6gQH9+FyddvE7d3sDFbQTEwtC F1QnnFmssutzSfMb1j7/XXqFgS+ZMNVPGeSkV5Ak2O03sinZ0G3USHmQsPdD7hhLQsHXMDvt6JCB 2Q4pGgyGUjLWbAa+juYDwksTcO9NeczPx2sbpi689kgmrFTCaDwNP2R5rRHy1jG2u3NRvxB3H7FV T5BmPXRHj6Q5jzLCfvavaPsGchptpH9Eq8UHQ4Ub45i4H1sODQNnSEI6RPWQpY5gAjd5gaRqI/WG H51dcXFCZjQC7T+xxKPZcGDBg1X5yGzyW1tIt88V6NtIKRFVXkuSl8VeWzPSh1J0PBvkvcFQDiki zMUsgO+fZ1jvztFyh+j3AnGr2VPtxNV+NafpIqhZS+LQW0DEMknYZ3IShlLmk8Scl4DP+yrO0DT/ ZaKhMYN7hoMX9qs4BdaqTWl8zBKpRtoYzqo0DpH7pJHVqqcCcWDMqWC0OwocvWGF8/toYOK6dq+Q /609FwXzKU5CXDXMWgqWvDDR0aFYm35pfgiip3dpiYIGqLce0jJPxBOwcjqo3Lt5XHdlN40BpzLE bVj9B1ikrvRyun1ljt8F8ORDQXoPqTvX6o0i56GSNnctXljJ8OrPIH2uzpsZAK8bm+PcTMvdEt2j kUoYk6HOXhH7C+FOcFfvcnQR5PeQbsoGqv3XWC1eK7eqyiUARZU2qDl1cVsdjGm1RpIyS776BGW5 wfefHBxdHzzN2LjXHyHaJ6Is6bgqz6ybSXXm+WDrRjLUvryq6tNReVwegmszC25WZm18b2pmMftm 6t5oc0tgpJUVTT/qQ09Q9ZwGut41oVWdftRsgFI2OQZwmP1QnbY1gCUqpx/WR3S8FvzBI8ye7wRX 5LZGGPTGaHVseHkGu1oB4SVgl2h7KXbJEI4/0j1oUcjQu3ELSrm/mEGkiDfnKJ0c9vgRLowKid1G 9REQircXz4oPbbzLAMRw4Ttt+F4EOEOE9in8FotFll0qCimVTs4p4h6r5azm/jFbVss2BjUeIuIj wN50jU2nx1+a7xE4NIalF6KPfRghIw+40aFiYmKQF+kKLjLPIuz2DGqOiFyWloOWWcKtRSt5MKmk Mj0leZjqXuv2lfzc6LrLXhO1BtLbCMHQ78Kqgq9nuSiZmGTMluxfUelgC0ORp4rOJm6CX1SiW8Dp Ao1QFTCpjejalKE2SVA3mNpCihePnLvNWjhFLE2YrktULqloaN20sYlwzbYikbIkLsRwKRshfECe 7uOjN5HjNz9G0KcqJzJbkQ1tB8gMB51h9xp1e3vJw0Lgm2QPSt1psDgED/7kuqbrZKLQ8OOAVSHa zNVLcHwsqTAfavZImMXxISaq/V0KqMLvS/bI4zXK9ELcY5idMB2miSZPSSEus9Eq+lEVPKOQ0oJB Id/rqcoeUdMD4A1vNgdxWLs1jTHpHi0NgOvpLu8v+0ki3ldLs4hdfD2E4VSv8ZRTtUjSmBTxLwTb mpvIU5z9TZ787Ic1ktTcA/xdAjMQ2WRHNepvBe7tKoLZewivN0a6v4KdX7wOGUIAACAASURBVMEy 3s9tvWt5rSHa/WNY5ddojwL0Dx+JPnu5/w6OEYqVXFnZ2McOnMGJyCIX2y2qaiPXUW3RKnF8ouxP rzeBbR5iaw7VUPUvsOpQ8UGvtaoYXrWW6xkRUlWuAPevkOExzPCf1Rk55/0yEe9i4QSqfDmb1JqB aeCiq7PCkAzqnYljDleN2GfG7NOaL5NhDu3keXAKhIGZOSWb2YNkWSbj4x2ivJID2GcIyEmpa8ke FG9M6nQxM6oqaReIAKGjAVQmhBQWcD0JYKrBxenyrpas0eSHPqPCLAkM2S8quazmLDaF+flO3KRq K68M7UJ8yGozhds4JYEV6Diai3/PHpZIshqG2ACxjGAztdMdqkYPG3jUQWpPJRXkCD0wc/Q6PThu hk2yQlpNVd/6VsBp8CDEmBDcqAoDtaxG7cdHfSg+cOpOTeOMN0sJGcXW77Ol+eOY9IOb1/B9yOtj P4msfQaYweTo+gGWgESBuQro9n4c4JJwi8AB/O6JeKrFV9+LhI1lt0UuVk/Bu4PV7OwF8vASdrEQ dYkSVGw0hRMmsIBuF6NsKgFBJqhLmhtwcrNWZUbJdAi0VBlalaqlVEsd3Pe0dFccDJsbLPBJxZHr IijlQuyheMpxNeqkir/RnqbLsrT212tweQxkisFpAzLK5s8b8jlZ4vHzED3Pw4dBjJu4wfXwC0gP TfBhJozOKZw2WQomKoJGSQSv997HLH4u9i4nnSPEWSwbvyroGD4A/CNU7URUSelU47Z0wGJ1T5Fu nyIKLwXz1By+JDPbrQeIqxGy6s/jGd75GeX/f1jAcqsUQcUsnUOLAp6VI97+AKNFgjGVQyp4ViCB KrdIFVQvBd5LBhA+R+xhCp0uN2AyGEsWo4FKvMPqVhCb8PzfPHSJ+zIMRzwER6OxlJFUfmXVRKoO J9Ush/lMcp967U5tzqvA8t5gXEMQUvESlD435bkpJliT60U2nEKcrRbCaCvofbky8h6qz0b1Uco6 C3qhbKq6ErboDb2Bg2i0lRs8lvaxmgxL3IBTdQxuXi+ZjoiJKV6HJzFLClEb3W0FBZvuQ9g+lU0N LM5fQKa0pYPAY1oIvEpohdV+Y9ys2C+O4H18+y//IFGdPMHuaIqX3/5ByM0NHEKsnMK9yL4sLl9j MDms5S0yLC9eyftm5O1FbTi1YqngPbJMYAVqAumiTfS4aADdgGlJOdqGIY5HKiLIiyqj42SNzctv 8YvPHyDKzuCbHsyJj9nVHnFlye+99+Tnd25IftZ88UeU+Qy7bI+i1ZITzaGZB80sBFGcSXrOrIaa YrwHtEaTnk/I5jrhINTRJ7RASy4eFGo/zh6WjQVdon1uZYYHCvglkqrzei0WlzoZFi9Dqm+wpKsz M1ovFVQzVWkTUQIoM5Qxhdn0HjXBWFxrSGdyPMF4sY8hkr3iEdCRB4mblHxGluPiJsyeUZQicw2h JoncsU/AaB9rqk+Y/Y8GHvP7mgRz5ix/GAAD+M59CYasnJv7eRMV2iiCh1jPbQzbJhaXr+A4HXQP D5GZbSTFX1gQkNf6A5HxwveLCRtYidCe7dqIrr6B532GfmuEyPBFx4r+Cb6XIxNA6EiHGLW4n0kD Y3qEhiEm0yPtbdU+gGye8zDjYlChY/jsaoE/fP01/v4//Td4+epcsqHReCTNetmL1MVrdaVH3RNi tE6TVRGUwpsdyaqD1kg5iRXbBivJrnr9gXAjmcVxAGTSMFVweZRjIkSKlDaNJaJnx+wc2kNlkGuG SvbNDVSofYMyZSnQ1JBqTKFRrsEpXZsmylRRfxFTz5Fw+RK0O309rWrfO8u5IZwOjx5iFu2x2DkE 96PjVPjud/8fnnz5a5GSuB20KArGgPLpV7++zvQo9dJQZ7gU4FpJoOEaHdy7+TvpcXjwu330p0fy s6JyyelbEglD/fDkkU4RCfYM9xKkb8stM5ukhpPlUZVVicj5foajbongaIiXWwtpXMC3E5xMXIx6 ATq9Fs7P5/jt//W/4av//L9cPygy7Vi/Qjj/AdOhj6waYb1ROIn0LSif62nWpJwwEoM5eTUxnqjN 92LGXgU9BJm+s0GtVvPCzKcWmN9FHGrj1QsaS3CV3pWbbjuykfiAkzAtpyezi1pETzwL8xJJHst9 JiCVWR0nQES4c/PwGhBYyoOJvRMqd4zoxlK7rIgK63AsmRg/F+WxJQgKLEZNFFr9HjZrWlQ9rNMP C0ZwH70uGf0fHyyES1caCJevkTsP0OqO7iRP3ywDbquL6QM9VCbDT7E8+w6b1RlawQj4M0rT968P 5/GIdahtqWheRSuzHIFbIZz9A7rD+5IhsyfLZ4qATSreiuIFDS9q/XcGql7fUYycx4FJKhZc7D0e HmhW23wk9h2Pj44wmUwEI/Wrr75SlxvRuGOTXP0tG9E+NtEbKJIc6pJNM7unFDIpRbSYYJ+ypf1i uojbBrZbNWJl4BJJcdfDejWH12K/lXvfk4Ao/SqLBzMVSFry7wZ11PTiqDAX02KVplQOnaSLnEKJ XKmWVVoS8GFSjfXGdEG6WtLopWmiYoZ4wUicZYra7/nY1ShWeQhuTQGjIseDz74UfSaeCEw3eTLz d91WGtXPoCmjmDtK74R4nraAPtmnYpC8XfKxN0ZcTUHiaZFdeyFul1cCjaAhQZMxUGGCF42jdwbr ximY36lvhPjX3/yfGD76BdLdBt1OF09nG0xPvsTQpSTxDtvLF5hFPnwzgUeO3fABfvXf/+31Z8ni PZLVSyA8g12Gols+mRzJBIYUG07fxNpIJrDUHWPpTaMB1WsS6emKw4W+9LlY3zNQ+BZRy2olTh2t 7YqlJXXA9+qwUlOFJNgSnVzxFGwhEHAglUe1LynTPDrqiDic0q64ybk5CeJr/PPI3ufhxtdLf60+ 6MStx1KAJu8BrxszXJadfAC19FTjBCLuea/bfZ1CopFA9v4tQYL9yQKTgwH279VPeOePI/BLBJXS Xj5woPfvsmQeX+MciYmSlkRrhP2G09uajSA28ppAMOPnvZAqh89nVUg1Qh2rwXCqB0WuEzq6MDEo tVoFRl3a1gPLxRKzOXuxCR5/8gS/+/3vJXg9ePhAWCocRKj0i+IWGYiahEZMVvhPtmgEDU+tLE5E 68pLmBJ0RE/qA19VbfkeagXGgQ4TIO1ziUUdtd/EmTwXbipxZSJg2NwojbRNW1B1Tpu+BU99fU3D AavLxtrFWOV3mxpZXyMIVcuUh5Bpa7i+wCJcwKPt+i7E8cNbKg7xGl0kuLrciBTw9ZSSweK2uJrY yW8lc2B2JFbi6R4pTxuCEHcbOQWu9d+ZddXSMBnJowYvpGaQDHDCm3zLeJX1dhMwG4Eyfo6zZYmT n32JdZjjcEr0cClYH26QJFogjUIEw0MxUbharhCmPnbhDAePVKWNxM9s8xpBtUL/iE4jnBo6iPKN cOwYKDnVEUeSmv/VQAn0euoJx2yHzU2+Tv7YLBe70pqIwxS+10JrwlI4xW6Xynfg92fgor4Qp5c8 cQmDEF3+/Q5ebyAZtVxfOu2wTyEMCKLitSznKcf/ziAjyGPbxW67qmlZifSrVlLCKkuiQcKzKc/r zKybWZWojEowdJDGOcLCQ/cvlMgI340QHGr87y/htPmg/vRUT/0pFR3uOzZ8p4+NQXWEv/z6sKY7 n6FcJnMisFgPvZKUXL1CPCM5fGms5NhLFCuxgugtGk+QQUE1BgYWX2A5fAaZPPA7EszJ4QJ7YQwK zNaozhsnKR49nkjmXjJDHqgAQkqCc6NZJdZj7EcRDkIteYU+iCCjOGOTCqeKuBIjxGdTGRoS0CjC 6LtyICp8QT0QRbyRUu2Wqa49bL7XBx73DfurPLAFt/AmCF0DTmNbzU1AECc/RANV0Cuvcsi2XWst N0ztujzjYupH3AYnjeM+waDnsCIaMt5kTQIss0ocDjpAusZllor6JwMTlRMFJX5LK0eawqIjD6Th Dm07h9m1JWDJSPeWEUFV402I/4q3CxHp+/+Je69eWbIzS2yFzYz05vjrypBVZHN6GtPTgIQBBvOg EaAH6S/M39SjhIGAFqDRdEtoNllkscyta45NnxmZERkRwlrfjjznujJk9WgDxWLde0xkxI5vf2YZ MAPcLOBFBMmZS/LDjIzfz+b9w8XAaFSlEElIsm6k+yFE75IN8Arjs8faNJv5FI3eKZL+GIsX39h1 sMRe3aJRLTHodzVAqHFqDJhsOlpj2gVYgi1ZgrrSW4eG43TWfnT8bEzBuVFIaqUiA6kcfkgHIJ62 O20snrKCEvAEE+TA/PC4McR3TFPkTSM1i5blFCfF5M92RiL3ieeKDyYj3OC0Ddtnxn6Q/ha/16mI Gt/RJow2jbQ9xQBLKRRmdpEfYl/VGdXPk8pY8MwQeMwCrSL4MQGL9JHJyz/qmYySEv7Zr7Dyuj+Z evND68f+tIgZcHGNwN/JMYdO0VzX0+dodGIlFOaSY9mIWAjUUCMolxUC7zshDLRz415zLsxsrzAo MAgw2yUIWD3nLXugQL/XVQsnCikx1BPdRj0xZU8uSSGFi1JE8gMwmBP7VmzjSN/KcYtJKdpTHok9 y9K0zfj895tU38vKoO0ydpajNVWtvlZxPYUTJDremvVsX4T3A0C7oHsgqVlXCxPB09dlYYaNqTQW 1unvAp6wFW7cLaa/Iqv1XmQJFDXwy19+KsXPCvfuuppmeC1czajpA/Q6TYH+otF7UMQqEemia1kQ e1WUx9BkUONzQ+Dff7knwCD5euxbhY0WYtbD7AlFMWbXL4XyPXn0VIGR/SzeeNOXNhdrWaETKLfP cPvtC5WQu2144MER18UTjF/Hz05T1jqoH4jk1CrKF+i1KA/Ml54APGtKM1tkcJEWe8PKOtPndiwD 3VeafJj+EX+igKcOYnJ7NcVykeLJRxfodhM10rlp+X0mxUPE+1rXUQc9u6ZSDXweKOpZZtlBA57/ zVOb18Pv12ZXuUGMEqeZ5sQrdUtiaJwEs/zyOuQ52niaS32VfG/UHOna5yDlOt834TXJ6fvxyPYf WnIUphQzX2pm4G9lzx9acaOFwemnMsm9myzQP4pEJ/u514+U7kNr+xUSn/u6awdsmWI6v7bpWdKH XzKLLQ/8XwYM8oFrqAn3bzNhUmDTf95z9UE5lOBBqz7jWqWh2Cz0MyzZ9GYjPFLwIyqdwU2tEbUU HIVOe7GhLF8HGKxtsVjcWV+Kctj8nTSkcCVkXS2kzNxKat/TnoyClDOMj47MCzHmXktMv4tf02io lcADl45ChueTq5Pk1w5o7zpo3QtqmcqloGzO1bZeonMQo8OxOUeOPgmZO5soKQo7VDUnCQKuWUBr +DnYSpG8Bz9U3MJ6HyAJ18w3f+CBGgq+3R+Ym02rje/++DscXTxWZlKF7Ki4R88SR2xv4OTZZ4fs K3CNQNllqwwzLh2hDbVD7etvv1RvjPQhBq7j8TEy9l4Su6mtdu8Nh2kZI5A/92AKxUB99d3XSPwt TrqGb7Ov50Q1Vx+JYoTK8pwom4HouCGZrRhgV9ZPIp2bRlCNY2K2NTpiY32FRsPH5O5aUtVyyqWV uVO+4M83fSKCPEnJ8bVZhJPhgMNlxQIaumyTX2+GmpY9c4Px9U/a9LsrBLlg416tAGaETR5S9nxq LSU5HzuNJWZyMuNsdZD5HcA7QrP5Lq/zL1nktvl5oYyJ2lGr5S26o/dj+h4u3vvOgHCXGMubr7EP 30MH+2+42mEJb2+93pz0HD63kkq/DWXJq+VKyYIUE2hgoklufRgFaHeHh16SKqT1BkjuyzmDrBAX STYAsXKWxdeWYnye/F3cHxyuULLHZ1tBBxYHbGxPMLOxjIsVjDnbWCVAFwoqS4gtI0BubBp63P8U EHQYL+5B64ebaAKfg3B+dJQSEN1wk4LNeDbsUkn4+vIaF+dnyqg0ISKDP45wdzfF6SmzoXvYQ/2h 2LMRpodgMIEwrcyT27HDN8m+nZmH+luWPrJhS8unZd4+6BFxc/8/f/+fkSS0qB/h6Wf3GdjDpazN fc89DCPA2dNP3GRzh5zC+e2esosv/+t/xl/9+hNcz/dIyScrSgxPLg7gx85gpM9QB7Janvjm1XP1 sOpRP41mRRKOY9y+fo7B+PQdh2mqp7798rXbTaxe/COOnjyCVxEvZvelfJAN1tlL7BMDlbmJHrmZ dAqxkkZcOxcANTHixEUgWJbtO3RFrdiIlMxshyqk9cTGOJ82TFnOrXy9vb5Uk5bqpcygbq4v1dhn qcnnzgOqDqLF3kqrukdZ22rNZhP9fm4q4nMYwNRgVVZqJQunheIgEiWNvYIjBzg+AbV+T/i4DxLJ 776VYu3w4lcmI/Qjlk/DhdLAwnnhIRn/eNcf6paFxQKd08fY0M/vX2CJl/cDaRZt3XJECAsbmNCN WdM5Ut52W5Qs9XNTb51MbvWcpN7hRBC7lPV2/U2pb1SeMjD5QRKnRYKz+vk+2h06mht+ymy9OLQw WWNJCNHifj5F5XtokIOoXrB5JtYaWsajNQOMxXyugZAFNe5X2Z6bmq2oOIQuWYUk7fgOTVTWMrTZ 7egIFOoQ5Gdjz2q73WHsDlDuef65iF2L5Rq77AU26410jY6Pj5CtKQBf4f/9p98pGh6Nxzg55oTN 7rhNpOxlr3WOrPlm2ByeqAKM5QW8tpl2zql9XbbwenKL4aPH9w/J8/D4k89wfPFUkjMfWjVuqm7e 1YtZkk4T0sUB3F2+VN/t4he/wRYB4uI5rr77BsHwozekaszRJ1AWxua+vZBsSrakFHEgCOuz7rG4 /hbxB/gVL7/6oz7Dw79jxtU5O5JaQpqyLCKGxZygldlQeVHCboVOj7r3cygDKd/MprdzMREtStZY ZBVQ/mWloEBWvrKYjFI0IwUrNcKznbJQls+kSvA0lnwtf1errc/N1J69DJYAtVY7Nwd/v7iCIeWN 19aQTszabb6gVjjdYkjZMZQ9r4dcvLq0FBGenpfM7oIIcbOj3uTaO0VQtiS18r61z7e4/OYLJN0R zj/9tz/JuYendVYDaPsn0kH7sYviisG+DypnEbH2L7Ik2/Phv25VMxyXX2K1niFq0Q4uw2x9JTjJ cHSEgod+bpmMTcNjNLqJk4SZm6ptukG6pt8CX3Sm5KV6P8Zg8eA1TM66zmo02IrJQDDck+TOKe1D +NE4wM3VK0lf7wesaKgpRzG+DHGTvWULwmyJ1F6G3JMMoDU/2ahYFqhsiEMkvnFbbchkbSO+z+yZ ySXdJR+CSNENWnQ8DnIakLDM57/85NArn87mipT8IaPREBfnpw8ApFy1FU8tRKduikavRmK2xjHL JbaGySui68aLqxmC8cfwow6Gj951cbZpoxFijWTNBv8DLI7GoWsFrLet6u3773cCqT23r19I0YAT Dl7js08+QdF5iunNpTBc97I2xj3M0xXipCHBQEoYL+8u1d/hRjZ5mApe3NHvfsgJ1JiWulHjAdL5 pTZ7oIZ+gHx1hWErMYcYBkb6/WkwQCCe3aNWs4t1uDgQPusJq0lwmMVRzTjgSctTSPQiDhLUu9hr QiduGbmVjtnOYMX+XCPLMKGGuYNu1FZRDCYMSDfSdTeF1tpFp54K8/cQOsFJopWHJFdPTEs8YhCi SJ9ZbGWHzNFeIN71ivc/bAODz7GNBkixRZTPEdKSqvduwOLJu5q8ki5/e/iuO9L7loGLKUCYUXVQ ATtpdLFezbBffwe/+wTej8yYOL3eeynQeX+G/5cuQSW+J8Mq9zUfk1kODV4SmaoqfjoPz02WIom6 CP0mkrhjgFzCZVIOj2IMx/STJBC4gnrpRRMBwcW7mQ4rmrNSby4Km9gsd9jQu5B4r5h76773Kr9Q qj/wgHTUGL4D3EcRAcWFQShq5gkt/rin5MLOspMyzoKxcBK9c4ogJstcq8xyv6/XG/T7dOQyCqAq MvXTDAlQlvws5CXaO+DIz/c3jR+KKSH/kpvSpoYmnVz3u+xDWaRnA29HFcl9iTIr0OtQO9qmBTez OQovxr70kcVDtB4w3BlpGYBszB0bLUcqDT2TxXBYkxqY5n7pg8D5/YtBhiBQr0gR5yvE/QsUbKav DBgqvIoLPHrJljM00ytsb75FevsV/GYXxx/99cEcglKtBJ0K/6XAE6LImEVusL7+Gv5+gXa7gbvJ TON0ZjZ9gjZZzviGHyMK3GRc+LvprUc7rTVCNBA1Gw7OwE1wf58sk7ReQN0vUwNSMAWbwtngw+Q+ DiDaPBeVR/2sRiKEMmWIeQ3G9veVGTEb4WnHz1TTJ2RjvzNFWVm5ETrRNTiFXIg5Lm+2Drrs4hvq BGxhHx8hR4wtKVNeC148kEY8FTSTcoZGcYeqdS+2WK8snel+qM/V+XG9Lb4kdFimV2O5m6FcTREP 22ptsL2wSV8hX8eIOm/qWx3u4XYliWEOckRBKcgS8P/FAhbz5Np15+24RTnvRjGTzr4kjh0svtXs SctfvnwV3yvyctlnSsQ8oDpFHPUxPjIeZxjRUob0F6rq5HIT3y5sCLZZkbK0RxwZT5hORvkuFQ1G /SfivZTRG2Gd+5atjkJCakb/knRxQZA2g1Cmr2H1IbmgMj/IEdFIuRbfo9qIgaKdsCOzawc2rdEF rMBU8TjWihAIOkTZigjftPl6GPUpm9tpm/LgfbC6v+V1BiB+mpQRc2z3AYq4j7xgBDbQGGVRKlpt 5T6i3hnabyGO+UAkkxsQLBAfemBcpq3EMe0GsU8clvns8UV5aODwfYs1Nn/Oy99/hbM+x/QZdtVa /ZbcAUPZWek0fWzSDONmjognGDFYo6doHz1GQNldOu4upvr/mrA4K3r6C25nz+Hv17g46qI/OFcA 4QlEPh+vlU11Bh8T9idUoeZfWj9iuZxhcncl3SkGsMq3yZppkFnKrukjs0SnUMFlaPJU/5DfSIa7 GvSuVCAGilku/340HhtQs5mI5qAGOnshrklLhDS/h+UksTq1oy+1zKiFzylNk5PCLFNw42bjz2JT lt/PqS+zynYnUcmzKyJsGk/hhQUYpjyvQFgukJQL5LOXWKOFIr1Vv6lFKylu+M1LVNtbkGW7Sysk PSpO/PDyqw2S6qVIvV7DA7pDPdfJ3a16Z81mB5lsiN/CFDCgp3Nki28RVWsEflcH0yihhtvHmP+4 M/EnLwIw38yw7i8sLFIk2GAtLp89Z/aTWo2u3MXt0CrQbAUodlRbsOkf/+zF80s8fjYSD5OHjV8R JsBGuDFFPC8XJ7RiH7EVi1ZjOmh79Lo2pa21y0ypwQ5KXkVOfX82viVkYM31gtXAQRCBhxpt5bbo 9YfW0JfJBNsdBCV76gdzj3Gf6rCOnbGyAyzXhH22EoQqcJJM0ldrtQ99cJWT9a27h0/dU3XslDPK jvGFSlqE8Y1xOlvGH9zkFZq9IZiLhMEKXlXI9WXUSuDNqXCYoozeNLnkDWKPhzim1WwqldE3HmVZ 4Or511Yfy+l3qxSTxqM/ZlFVQSjv4SmKJELVZJ8lgrcvRJhOSNBkKs36WMaOlHmucHJyAhx9KkQ8 g8blt39A21/jxWSH848+Q290JAXK/eoSF8ctJI2hgSpZX0tt0zIXLvZ5yoJNewPgcX5ZP2RmJqS7 kM3ORrm4VK6nIGtyQkpEHiXEwTJcPmA24k05wZr1ZBMweBA+QJ4YG6V8Tpv12mhVZAG02yaERrBm 3VNotoyAzJ6db/Iq7F2wF2UW4aV6WwbiK7HczkzlgqJqDFaSv93qufSGx2gniQGJs2vEGXFAvHab LxfZBsvpGqXfQr9fYrN6jsIfYjXdIp19jVbMvgcnUQE2Hg+J7+9MM3jm69doRwsUQYbtOjXCNEvY 9Uq/kwOGddpA56T/Vh+swlaBaoaknctNJl3d6AC5ePK3WP9Enfb3LRk0+MCGUy0ai6okZQ5lFu61 AenDKFoFDez2De1x43LuSAdFtQfa0RhSlC4q8MzzIlMcIS83W1fqXwUBXbL9AxMlKEOZl9D2jZpn gqcExmCgnntZEbtnDIXa10GvNrMsz6aBvD72Nf2C96mCH1LBg+WaEwZwE2lqfHEowP1NyAMZM+oz O8pezUXmIcIeNTMztTzCSG0NqzzcYSzSuvWwBJeS87Rd14LQJAYEM/6818V68xR46KJjrraEUFpJ aNB71qUsMvhtv/9uil9fdBA6JGwSh2iWM+w57fArXE5StE4/Pvw+OszwIm8vX+Dk4unht/IkP3v6 sZGtyxKz60thqH7KYtZCf8B6ssWzgz/DgkYkxLVwK56H6e23aA85bg2Q5pnKP2lQpRtMJ6+R7gM8 ftBTY+bQiBOJ6JsTrmmXyz9NxN5UfMSRswcjLYiB0UTtiDNpijbx9NnHKrf4GWnhxcCl6Q7xbNSm lxoF+0qFSMpFbsaUHBNzc4vDRQzZfCYjzNp6rR6GqG8mmRBqfyeSpRXK3hnDUoedTXUJ07geooE9 6xeqwnZnv4+Z2VGfzj80GjCMlcEaGEytR4Myg59f2nMTTSRAWHkYdAOUVQrkCySNGJvdArvZVwhK yiVTII6TQDpwn33QL5D3c7sgrekOgwEVNE2fS/cjTQ3xLwzREDezBK2TX8GP73+WRvr712gHt9jn G6l4Kktc3EkEr4x4yP0MDXeabBQ5FqsVjvsEoLpcijioD4hFsnUyb3wKP3qMbvAd4mLtyq89Nukc yOla5OkgNygRnXMI4E1x/ohsCqtsLPMwAwry8Cj4aFgmonhM2qUR8nDxsEy3usbJZCpZGaLd//7v /y/8z//L/4Sq1UO30UQ3pEeAqQnbZNwEPRsga4G6Z3v48Q7tFgnaxHC5jNYZ1vD67YXh1iDx3my9 GMhv2E8+OlXmzh6a+l/53vEUCevZusFeQ9pqqlIe1vYPReBtw9qtrn3DMr34dL3g17oIxsD0QMbY a3Tct/GhsbaN1HhnX4Gr+yjCy8UEaBmnTy9IEOLo5EIGlzQttd//9DYuGwAAIABJREFUphFB8xkt 3e8fMD/47NvfYgOzqf/QuldTvTfSePPvLAUmkPTbeYrVco3KW6PfbMmA8vjxJ9KSWq7o6rNGuvLR aPcwn8e4m96g33fcRIr16z7wxDPHkYg+bmyug0HHjCf5gCUz7XpjGwUUyhIbbw+BZbKc5Il0zvvG 6auDUbARyeyp9oNkCcCmOl9WZlPsOwrwSzoMqRjtAq9ePle6zZ97fHKurJVpNnVoJP/SbGsSxVPd emAGJuTeIJ1nSQdhlZ99yx4raKRO55YGZa8dzkpCjmGAoKoVJhjYjJzLTSn33pT9EQ+dro/9jtI2 VHjoygBhtaFuWfLeySB7Tf7uK/QbU0e23SqYc/rJJ0sdd2aaYgwQt1b67/IS8xkauEJeWktA5bZT vVWs/ZH90R9afrHDl5e3mK9XOBp0NXzag1zQHSpm88H7hRypC0exvKV3jE61EiuAiy9wMzIX9koS xQa+ZEBiAkId9ckdp8/mQMNJHj/PYHjkVEgiwXf4LlKQb766RYgWbm6mGI8GUmbgQ724OMNnn/0C 16sdkuUljj/5RAGd+1jB0FVVknzi/WOwChnAWE5SHYTO0wsFUpag7KbR4YqaWgITu/hCjFYkq0Cq MFDG28dmQ89CJ3FTlOj0zAtBU3r+Yh58/IcvlqMHHpQqH6572g5rWeuvwLcmHqkVYeAhru4zHwaZ 715/jfPzUxQ0RACh+XxRDQTJ1PKs18Qr+qzJjsj6U8xoLr/76hCw3l5vN2Frqsd+MgHw/WUib/D0 +rUe9Oj04s3po1vD4RC/+2aGbRZi6EphlqkMukxjiR9r98ea5LDc6faaAhnS3r3fH8tJV7ZIrj9k Mh8mCyxLLHe6EuFONLAI3ATUkVHfGzh9daLcTflSJGgGVE0x78G8DCD8HbVDCstENiw5AubPFXJd 97pCS73ICucXT6SWwLG31BOoqe34ftxMtd0WN6AAv9ItYrPTGqoss4wW1Dng1pieW4+hJfMLk5Ap pJbAv9eJXBpqunKBls3tbt8Otxs9jwrt/hHCpINlyuvIgd0rbLmh20d6CfSsyxxefoMk4oCA+mj0 OtxgfHRifR1KSLfaGjJQcpfk2uHp37y1X9h33cHnJs5suEGkPwMeeZUcMmTTb9Ds/bWkgf6SRTdv ZtufPTrDi9kSjbhEr02NsxgFJ7/f+90V1mWCrl/zNRdAEaExsEOAwWELBn9OEyvEYQdFdYdtWuL2 5lJ6ZLSf573TJE5gzgp7zzCTbN7HfqKy8Je/HOm5/Mf/8T8enn376BSDVoLVYn7g4fLn1JQtLoLJ +Q6w3BTOi+DSkG4+LOcq5Myy676zAiyb7w0Zo5CvyINGk2RS92RMYtNGk/u2AQg/pwltsoqzpIMT 8Pse1uF/HgYp+zcBX7UwvIZHwiZFuC7Ii+vf/xDXMMfx53id0w9uo6ZdUERIlxn64Q5escOom6O8 +QbLooGge6zv6Y+P3+Hwfe+irOv5Z2jdw6o+uCTN8gEVU/u8FdbpCmGxwyCJ0EmiezUJBp9mA73H H7mT31Dyu6oHhGOksvye4+7mCv3RyMT3HJ2FmQWzDvaCmF1Q5J8PlaVSuqNY/wyts3NBF9ivEoXC N0IpNbXtgdkURVOfOlBHVHdcuQBGXezBAdwpI4o0VYnIfx8T11JVAokyU2ZjlJvTjDEJjOVkh1pH wUFix6gRTWVHnB7WAdfMR3xcX7/GfLGQVT2ldXlX2Atk/4wnP3tzfDlNLjk6GMZycxK7RbuwDfX/ +59hO/grpEEbjew1ysU38KuZlFUzlIiaAwXIRrBBA9eyemfJzc8wI62INI79XiU1AxZ/r3kRBNgs rtDlkMK33la+uUG++ArtURMep6DkrLY7B7G7vOJU9TX6vU+xAzW8/nwE/q4ETsdjsNFyPBzd/zlH +jwsP5BhcUVliu72W+yxw37noRH1ELYo6c3SkD6DNXYpwHy6EEidLQGDFhQiv7M/KYqa2mUmmMkS la87D7du22Wh2VYtElmGqEfqYcADjbrsHLKQotXuHqA0D94olZo8HAk/4OG2oqJrGSDWUCfFNiZE pjSXpfkEXQdjYRnJA5D7o9sfiJN6cnpuB4ppW+k66HTNayJ4lD0tFhqsXITDqq+lBknae2rfuNlm WBQEiVHwy0dKBUaPY/gOWh+ox7X4SxllK1pnNxCOxvAXL9BvUScaesmKfQsNEpL/f177XYr1ZKJh gZ8M0XxA58izFFHJ0flQlB4uQ8mfIw92CMEewK3xHBvkIBrnr24S8kWfTe60eRiAmErTAIHBTJOc sMQqnSDNqP2zRLNKTGPcmY2apDMb8KYjVduTq7R08A1mGGym315fqzcwm00VhNjsZ7bDE43a79wk 1gQ2vqJKTzrwcPvF5JHZKV7LBZm33U5BgioA1lMphJSnfRp5lbTT4jXKlTcMTSuMapKUkhYsYqvP yq9p90w1dr7K4A1/jfjoc8RBhmr5OwS7a+TrBRYrctQSRM0p0D1BRkmRBChik78xrugOw6FNNxlY eb8UdDLT20oSBv+vkdNyyh+LeoXt14h8atk3nNCkBVd+j+hkAelkGeL9DQYkaZcRMsqj/IzLsmYC PD68ImRo0om7zBA2jZYVis7SlFGI/XeEVG7rpqZRK3jWuu214opa+y4rEuRE5rUVsmKnsp2DkzJo KODEko8x/JO4r9wn2oPkId4H2DpwEUJhjls5BsOBJJmiiM194vBMrptZFff/o0cXOqwMK0htKxs+ SQWkQSI+CTeG85LOHsnZnHSTSJ8QBL3FnioiMQ9z567Cj8VUTL0SGaaaTXUZ7HAz99DsnWDPidJP cDPhBRKvYXpaPooGJzYzcO7lNzsIt/+ygkP24Q3f8aGlCUm+xDzdoN9qICJuqWLfZol9Rc2nLTpN Q/6++X0VNqsNAm+N25srPH76kUqe2riBpwGF0sbHJ+a9RzkNjnZ3GZb5XNlqt0uRw0xlIV8aBhR5 t5U0BeghCjm926P0rczjtZg6gykpxLVO1naLu7sbEz/bGf0p6nQO3EBeF4NGnfUoKNFZOtsJC8cM UFZoB5NXIy/XihJctQEJp2/cG4/GI7SZLEjEjdANqpPupF0kkb90oxdJKhBFoYEAqRiTuwn2zVMk J5+jWS2RrL/BPpvoayhfTAAtp15JxecGxDTcKOnoshGPrtgb+l4DjsqUMPmMDQZiByWz0U6HTeEM 2/wK1S5EI6owmS91j5Rh6iHawSxQZEhuKYcsLzGMSnSCAe6KHtKK6gg/z1IQ+YE+WUalU7+JBg1b PYP+kH3Cz5U4QUk+f/Yxl0s2p3nw7BTkBUlwyhic3Fm/Kdd0r6QPwJ62XR62eYqG30QRJojYAHea aGVl2lY19s9UONgP4zVbi6LGQwmLR7JyznaP9aJFwZJiLTnCNuRQkAbNLwrsMnpcGheWe5CZNvui 6slRqFDQBxrDFHpn+POV+fkhitwCWSjVQjcZFHTfycbwgiarHSabUOBHG1v+tNqeF143l7nKsIUi KPHq1StknAoFEQY/t6jjgyUoQC2H84HF06TKlvj4KEEjDtGhnEVAflOKy2mKODnBbsdS4wboP3Ku yJZVZGWERT7Fdm9C+fXDFChW2YBBBPiAmD5bo9c8+Ti54bUR2FcVgZqgvdYQw+7JwVGGAL1sv4FX ethuaDSQaLPq3+RvBUYipZPyRkJtI/cCsxlvn5u/i5ubWZhtNFOZ5EZkf4RlnlGUzD68BqWKqSCh RDZS04MeEr+n1T9CK2amzKmiHXj8ocwoVUr6HqaTu8Mom7QfBtrVghlUinD8OVreCu39S00O2Sw2 cTgOEgxjxs0+n1yjp55PheWSGmU9eAFPcJOzMTNWk5M2IUeWQybiyP6msl0wE1nCIzzDKXGaKoF9 HnPuIRl86qaTJbZrZqpLXCQnQNDB610k/NhfumrYwfeFLOoRZKWH2HfSHNJcz91zyQ4O6xwOGcCY 2YjDC1JnvU1hROKbDJypZ8kszA1ihOkTzipWr67JZ+j08+sBXJGRi8l+LA809iorO9Te6v0eFIgr TgspM2SHnCRhXKXG8rBWFi2Zp4uLyF6nYRrjvoGPWfIy4CZB4rw4Tf9fUgaV2ZixTxze20TbRfBk na0zLMoEVTiE1/JQbufYbudo9n8coG9+e43b2yuZAux3O/HyJIgXRrjdNtA4+QWq7VZyLos//jNO Hj1TCvghs4Y/d9Vj+u9bzA42Jav7HUY9PhTqOO3Q7SRY7SMs9xVORm0E+Rzl9mvMiq70rmyK2cF2 vRMYj5ABTvr4EO5ur5W5UMeaWQ1/njK90ORl6BPH/onqfxJcqWQgGIhlPpbaxzLeZANemJx8Ka32 XU7x/qH0sbnYCGcQ4V5j6ccsJt2Y3RI3LzfadHIrIC03DnFcHATIoMCZSViT3TI4C7z8mhzp3vAw daCTz19R4uT8iSa/Kg90kuZqYK9cRkkSNhcllE1Oh4YYK1y9+g5h5wRB1Ea4n8ArNgowIvc6DFrR 3R8GBIRgpNMbDB4/UeZwM9/gdj/AIGnhNFiZ242CalPMAvUBacXudNT4eTgUUU9wn7lgxp5XT5+H P9/key3zZfNduDdl0zmK3TXCYIanQQ8vti+xCj9G5UCdf846TLy+b8+y8RxwvO/obc5Cy8b6gdOY MxVfNr3JNGkmDbx6+RLDYSgtNEps58KXkaO6w3RCniEPlgrDEQOC/Z7VvsC4YQJ8DxcDCktL6b5L Tnuu+9lqGeDTcJn3E0Mqi7Lp7sto9d6cpqwDpcMesiEv8LESIs+mw45tsZhN1CYihEE907CBwGNm FiD0Q0lxSzbafrH98vkqxd0uRtUYwY+dFMtugThf4GjUwy671Emz9YxicviA7M3IPaUhS/jbNMOz z3+D4/wK382aClb1Cp0FULtLVxhT2nz51R80XTy+uNdp/2+1NNFrxhi1LDWtRchuJ3M8fz7Bo9MR +jHVBWKs1hus1z5I7+Lqj6nH9Qs0i2+x3i4wSs5wN73CYrGQuSizGmYaCSdE1JVPWtpwfFFk5SWf wMZBVVTqklqu6ehzqmM4I6bEEuwL1tjKdsualBIAdFLHLAupcbRcLXF8cqrJITe5DFApfOgH1gdx U0GWboZzK3SayvmbU6gNScw7YWk00TFfN9zSYac3Rq9jmYye/X6P6d2tAiR7Zvw5DMRn54+tpcCA QHee2UTQjmESwMu+RICd9phJEZntWn1iM2syeEWpHhiNTNgTS1YLdDbfoTf8BMuyg1E7wPSOAWmu 4Ch1TfeCMygzWNUideqrRYaZk945Ld0pidzqoJLDk2nb6+AQ7IOcuEII+n15g4HHLIu53p8fsPT5 fkyByWkpMytnABIk1kSvVLVQzYM8U774zEYpITxRX5hBjiV4eUf54w7avQjtXgNHp+c6ANmrYn4i xkXp4ajBfiV/oeEqyQ9mLDD6mWGhothAyIYmKN+Rn+I9J2WLz4/EZfURnZIIBTIJCrX2Qu2wxWoj PWjwm5EFVYL7em+kqUbzX2bIPBw0HaQvomXTBy6hVCZLD15smQ5vzmYxwS/GQDI60t+3miGKeYpM mHYLWHz4s8ktNggxe/ES4/EQZ4+f4LPWGvNlaGPkemkMX2I7u4YXc9M3kM2vcfboMcLmm0j4n2Up EpuOtUmZvMeslQJ92xWqRoiYUVy0GE68AvSHQ3QGA9XeaiL6AVr+Rv2kOmAPTz7H6y+v0OnM0dxQ pnmFXrd7ANnVD4xNYlnUy5NtqekeIQ4MQiKlskcQcFqZI/V6ymYmr77CyZD3ulRppZeoYB3P52OZ gKmS0qzCMhkGxjG1sFptncTpbK0NSpoTX2JxRHkdkgEyjJRldgbMM11t35q4soraaC/seVKGMc4G xIYZwI8NV2Zgmt4QtUzwZrenfhUDJEtVXgN7dHwWRyenmN5eY3jEt4JBhBMEU5i0EbzRmgajI30/ hxndTk+lAK+Fk0AdrK9+h9b4IywRI2yPBT5lOWqfi6YdNv7vDUaHlkQUEdVvE1bKvdcCk5w8mimp BU/+e5dbwI7DJnYs2asC494v4TGIcwLwZy4lpD8Qr/i7si17Up4Auhyu8Flwj/jOSMRUFggkTfR8 2i2qKLCvadI+5T7CdlXAGx3pEJF8yzYTH3az3eDkjIOuCoOw1lzP1T+yC2DznM/GaDK85iFlgeSt cM+FrJvvfHa8V8yApDQqgnUtXsl+rkEW6oDL51prrnW7dCs313gKceY7wlZsj2ZZKmEA62EF2mMc ChyOC35Rr+GhnL9C2TrC1u8gLjZIYrNAN4yWj34rFshrr2YkOVlrFJwELdeI+UA4Ct0vcZk10FDT 26gUUqvcp+iFGcY9D5vNHfbLEmWYoBRP6ededEWYoYlUk5Ct19MDf+MrCnq/LdE9aqEZmawLEfqc FrF63u1yTNY+yqzEenaj3kj36AIlgXyyWKceFI05z5Dnr3D5+gW2661KPmY3fHKbVaixbq1zxTKM aTBPzhomYPNnk/2YrgpkTOnTpdoQs9Uap0fU4woxmd1iWyytlHPljcbTaoxayWAUFSvTXl1fYcPS 0LmrsBFORdDR0cnhZBS9iiWoALwWhNm3irIIr1+9UBA6Oj1TOt+RJjudT+bo9cyEVXK8FGTjwCAx 5D8DFF80BmWWq9Kp5+bm5m12bAgjRxaT0ZbU9GqCsk96lPEZ+YKORseGXWLmq+uKcdQ6NSbAfoFt cITrZYCn/RYakck5sySuS1j22IS+Z3h3FluCbWjMz6knA7V/8FLU0GK/E7BSwFn+AwatAnnXg1+l KPCu0siPXco6JJb34dXc3aHZsMZ3LY5Yl1c+vRNZHjo3bWbeOnD3hYDDdcm43S5wevYISS8EwlyG FmGzQjeK0PUG6kdvtg5G4LwaDu8EGSxsNdD5m3uUgVJyy8ag0HBD2AILWtw3NXOCh6klMjWe01HK XNtJBsgcNBXEXvH6N1ZlOT0u7knuqeXszpzkx5TQTvResAQm5u5QEvIXJIkxvl9eT7HZb9EipP2A fDcENLv8Xr4GwramQpRWIXbieDw+8KWeX89x8ugxzqlRzqhP8OV8KnpK0KbgW4LhYIhXt3OscmYt P1zb/9S1vH2Ni/Ya7UaArMx1at3Od+iNz3Q9DDhhuUXXI7YjxGq1Vhknn0ZmKqGP41EHezYC+4+E OeLG2JU8dQK57kiCOGkhDtpSXUDuo989Qq87OIDfri9f2elDGAFPji2lkU06xup9e/jErEzmGyy3 PuLiFaL8Cv0jEnyNZMwmfgnzKWQ2wc9QVYYnYjZGZDGvp54GcoNLgaHy4TXbJv8Ss49o6HsGEmlZ sSTSSUizS3dyutKMvQujSJQYDAYK5sSO1SettL7pwtLp6XdaIL43veSzV+bO66MsSbOlMoWa62T/ i0HBn8b+KqdcKiHtRGZfg2UaL0fyytIk53XP5aBCzFEj2sJPaJIQo9dtq+dX79UaMClXH+F6rHHN fhmnU9Kg39t5LW4kG++rOxk90DNPahxlhKD5DOvJNW7yAfLwzw9W9fqhfd7c3QIxs5b9IYOW6UNM mlV66DlyP9X+jqY+sjdcGv883wvzZYOTe6iSSSgTQeWhF9nQRGcln4WbDhvA1qoSgqQ1hFMcsBgh uBOHM3JotuxfB5LI0JSBcSBdFwNrI2Zel2A8NIIJfbSabVUjwg9KzZi9SB5OdHefm7GGhgzmCs+a N+OE++2GW0qHjEaIgVfI5JRjdRlvklC7SbHIAyxSpqg0MNiid2TIzUNPq6qw+vpLvPjit/CPrdkj YwJuPmYk1FhHiTu6aPTaaHtEcv9lyOL3rR3H9UemkNkIK+yZOa4qkF119fo1fv13/04qA1lB3h2w 9XtolhV+/8+/xy8+fYxsm+mhIloh9g1/VPp0tq7QGZ3qYVEAj/pa6hEFjxHHvhQXpEQh7qBNhfiC 8eSTTpA0tW20a3LIBGsys6ow3zM7WCPx7hB0zLKKQN80XVovQ6dZS0GwFjizPw/Q65sSg02IKpmR 8gE3OwP1y4hc5ufd5j5iiiry7wBcLYg4N1gAyznT7fdwxd+xrzAeH6HTbqOdtMQpZNnBMtcetdPu cu4+1qC3t5JZFoOrBAN3O4yPT/WCMESZ7ZOd2jUgueV0yYQTUunKaRMzOp7QHsKC+DH2pmw6yikr s5BOsVFZ54NKm1YWa7DkTmG1A/SiWhBWdkXHI9m9mRonD6kNJ63ZXEaqfvAJojYt3yKEjWOMzwaY ckr4fbjDH7m+T2dewZt+fk6JQAqlbrBQu9RUnKLmW00EBUJmCR/42CzXUlSQln+S3Pe6nDyToBws 5fhzLE4dDkuh0kMP1Z6NcQYWgzIcDJXFGyYuy8FGaigI3jWusSmswR9qmSTLZk2apvYl4F7m+2DG J/b+q5wVF5fXbZi1hxLKkm+u/0+6N/VLbqkxCZuyd+LLZxH76voOy5y27wG63Q52Vany4h3YAJ1H hmP86Z//EeseCa2eTvMjUWLchfHFARHHD43pf941PH2MLHuFOLbfOTg+xTbay0UkljSsafBs8j0m kzmK1rkkT/ykj6++u4EXtXA25PSjge0eeP36DuePHqPVswa3+SCaXZW8EwdDPdggnyFqZIgahms6 OjlT/V2nxeyTMIDUUjHZPsfdokAWjRA0fcyv/4DBBSk9hnQvggLpaqVJVrtL80krmYybaU4ptBsz hL31H+u+Ezf7oNNGUO7Rb7f0ctKNqEmqhVfiluUaQYgbNqBZpq8NNhE3cHt7o2ngeExBPEqTWKbE YMG/5+9hj4qlqWGibIOzhKxdT+Tay3KlN5B6h53QJGuZC0vdB6kF2qQ5ThFBunG7RrPJNLtmclHK oswyU475DU9F15cte3hxWyj5lKyFgMBQBurUKVRwOGEOQ5z07bJKCPw8ZxBmqdwyDXw0UWKMsHlP xA+TLrzbG+zbQwQEof6Zy0E5v39C2KRLjckZq/G+M0E/cQLDWi64kG6WMRAC7acFZirDKQVEiWwe kvy75d5HO3SWfApOdojq99UXowDGvMuZkD1wfjeWBbMyauaTLG6N8rqstgyqhjjwBzot+bpn52A+ BJbyfWc1wFchLdcHIcuysGuSvIyI9BZEBSgVjst6ZZxwh7e7PcYNH0024O7vrEwkPfJ5Kmru7HF+ dgKCGiinfLMjJWTzXuVPLsIZ/vV/9++VOfEWdLHGbvkcZdTCH774Az79N//+ZzUfeN8iZeb3L77G 5798hl3OzGqARv8YFScgs+e4e/UVzj76K8wxQtg71Uuy9ro4vXiCy1mGu+vXCNoniLwm4nYPnfMR Nuz1PBgi8GYTlGnKirbKMMLldoVwMcGjY/Z0zGaJm4kNdk5B9HVlJa35edZEq8d+l4/98muMh5T4 XZpcDCd8RHjndJvJEO2os3+D+XwmsnAtWWxcvVwBmFrrLAOkO0S33yAGB76j9ol6VphNRFqWrXjU xZ6eirDeQiVmfKwG++nFUxyPhyr3hDkTcXl9KCMJU+BJzgmwlSKGN+O05/rypVOezLGlMUTQcuYX 1s/cprzWAoMRJ3MWuMymnCBGcvv6rpw0kccasM09SUS9vSxWSvBrZIvOAcBmiarREkA5LOnKshD8 ImlFMlTYbBYYHx0fdM1vcxrEbvXZW91Evat8T6zPm30mvn5pWaER/XjJ5Q+t78e50xOB7QMbYtTG pFws76va41GAXzaoIx1Wexq7NA3tzyDNiaqVaz5YJEisgE3vWi7qUFa9WV7xfQ0OWWTt4WDl397j 8zUIhDTM2EOj8w4FKh0FiEMhZV7qidYu0c7nlNdQOAHOygZbRt43qIQdWkBMcTOnBGL8QguedObZ 7fYIjxpMGa0ZaelYLTJmWknKsFi6RKSLAGk0EjP/tN+AmUe5j+6iam1HL+st9+cv7jZI2icqE07P L/Bf/vf/FcePngow2B8dOS3xn3exCTl+8hT70sPru41wZElvhMnex2aXodUd6+Z2eiNz9mhYeXO1 KBAnHdXN7dE97ozBY7d8hV26hN88FQxDchdvDQyYBsetAbz2EFf7EkmxxmRFIF6AZLtHpyQtZwvK tbH53EpsY6jkzFOs1nSANoMKbkASmv01DSQMwEezWE7OiHeqpX2mk4mTUKbdPGEaxFtxMhYhLHcI SHYlDqtpOlbEOSVxhHw+gZ/08LjH6eYaq93ORsd7c2jhC8PGLv99d3PtjCgMqiAXZwqE8/eoYU21 S5MIYZbF/2ZmSdR9r9M4BCtJ5hDVrF6VqVzye/iirZcbLOdLtDtN/UwTQvQdrcMMTmoXH2W2CbOi tl5ensaTmzmazRwr8h8fX6DdtdKb191Gx/1+Tsy2B5VMypvUEIoyq7BZbNCN3xNUouZ7tfx/ylIF 496T9w0LCSndUAE0JurcGtxqdpM8zBc6MHQ5X3BCUoivu727FmCYB8tiNlOw5yFSZ2MJAaguGN37 Sb1/2Tv7IO1yskgsEQ/DIbbwdXqwb8bsyPXR3J8ri6PYpQPJcjFbYrlakTTNiXVq5HX2s4z+Q/qX Zeh8PoTV1NxY/nzjzJKZScy82PQV/vTll3LJ6XQ76HSMF0adHAark7NTxPsA1wvuGh/z2ysE+x7i gW0GgkPpKMwyidK5bzwEEiqP7MU3uZhj/N2ZqSuwByRGuEahZrypTc/Rp9N8/rFLSqB8sHW2w6bx zkO/20S/tcVytsaWcAzfpDY8ljLNGMVmgnW6Q76vVDa2On0BWt/nU77NSXHo62W6efmt1BweBlvT 4jbBPdOjCrBBV6dTq289ly3vSaeP7PZKm6p2AdLG9MgnJASAvm6ZsonZ3a1wSDau3jv9rUBkY8qP ULg/oqxM6CPje8bsgfSHpodIqbXZJJHpLjQ48V9jkmAzBYQ4IoShkC0YX0iW+XyRDRtloMzJLb0O CwxHY4ekdv52nBhRbshpzfP+WyCgnA4zP8I6SBFKVBJITdIkiIDsAAAgAElEQVQptuqldS9jjelp tclFsz6NUWzMVZp7I+J1snzg1CrwUIU0lOVLsj3oYA1Hpa7vKBhJa6xsxOrdiefZTNRH48lOkCIJ 1FHccfumki56usrQblE5491nXy4nKFvddybNP219f0nY9jdI/LVzRjKTXfa86gDnOfMINcLZ13L9 qdtrqtaO1Ki2abRlV6s90I3eDo/vhks+g9pE96G5i75ark02+dM+dfZhfD+Z9Vhp77T1ea0OT3dv GkNlEV/IeRmfpBu1LmRi0jTuYSrVhp32KQ8eCU3yPXDXWatEyAPTAGGVsEN8QWgYodReXCw2aQss 8whe1obf9BX9KIrH76MXH6+NDUte7IdKxA8t9n7489RcDjypj3LMyWyCWtJvB78PLvZONisFwP74 1NlliZuOb16myP0mqrbJ3VDL6uicDrctZFv2hjz4fMDFzpAQ2w36Y+oIvTsIYC+Gf8/rPv/oF2/8 HYOtpFnY43FlX73ed18GRybsVy8LdIQp7DGdrKTBzoe4WqwE+Gs2OgLQ0RWGjtc8xYKoIYULj4MR gj5ZBuqyLSs2C3ADiTIL4eKmYBCp1R4ER3BBs+5FMfAKn+MBy7sbjZpZBnL8z83LgUJtRiIHYEdk FQ7HSYfIR5GbVyexsfprd2gTgbNmKv9hkGGvq9brJ1i2VjqtG8Y8eVlOCz/mh7ipjtErF2h6PGwM R6UXvdihETax5edvtBCQj7Y34m0zJjrcgWRZfkh3nvSVvYxXSLTlIbTM34UenJycYUa6yF8QsO77 Q+9fu6pB00z4vqNWEejpWb+PgwLPlXTmBm4Zp2ns+2IZtFo9NOKWORiVHhLBD9747e+/LpLb2Q9k KffG19deDvf/zWWTYMLlGZyMAqRMy0EYzOGpBqOaYQ1bGJaZscVhnFhmugyySYttE+OABlTXAHus fKaWtPAAW29S3NzcselOOdNINkJRzE1UYLHJMUn3KL0WosEA0+lGBhIEl1E62BwxGljNv8Pw+Bwd J2L3U5dY/g9Q8PVL3BFF4t20XBSP5cyQ8jQtdfV9PUrnzVjc3ShgEIjWivqUGEUzTpD7U/QaDQUP nRJuukZ9ng1lXnrm0WanTCS5m3d+PyegM7rRvulWbGNlC/w/xF384L1gb6PYYEuMUdBEZzBWv2O3 r5BEDSRRiDuWcM02xkdd9SXqU1HlIE0nXSDgnzHYsSRjNsil8bjDIJEixNKBDVqR3p18DBdhC1Yy ESflppzdvjKS2iGFS85InOa41F/TOclCU8hvryDSksu2KabWuB1eA4OPHK7z8kCuZq+Kpy6bxWwd 7HzjGNbO07Vrjw1ufMTVHkuMEVXTA2TEGsD2ksRsaexS7OkqTLiESLlUumxgRMssN31jebqYX5pW F2WAJCX2rpmvjEk3E+TMWH+i8u2Dh/y9OPe8irDKIrQjZqHOgMX9HSVkKjdxY8lNLJxN4myaZs5K nsNNeYgkGmPT0Vru2NZbV6BJr5VzkhmSie/DIOUu/MESW0BwB9rVO1S7JoS8pyaeIFgLeYw1il5f b2KCVF/QOxjY5LB2hGLdz6EPk41Wh8+IWX7DeMwe+bURhyksodgks17BNbFAVRseG7IEJnrUcDLJ D7OPrT+njTLfTiF/jlVH53cWNZzCGJMrSglTUXOH7mgsTFRt6kpkcp9Ia6LVkzZlsbWIl6L++EFN my9b3EJcAKtqqj9fLWcKRm8+4Deu7FDCcYnSkpLQzCzBYBs/ZSkrXF0jafcRxW3MZuSBtZRhcNJl KggkPi+wZ9+GQEsigoMScaenUohL+u47s9mqpDlFPlaMNgX3aCqaEftlNvTk36nMYj/HATq5aeuv Y8bLvhWfN6dmNqkzqyVuaPU6ZcPGE976VlxUluQiiVg4Lk6vEvaizExXo3Oe5E4Wx8b0rue12Rz6 F/xdhFdIoZJBkyBaTcnoPExD3C7S4AyFH0n2p1YKld5TbF9DVDuhF/JEJEcyJ7SFJSyBkA31e6gG IGE5yu+wjKJzEwP4rpT8ydtL0JFmjNV2ppL7p3ge3u8ew4aZpOGb+6uBFPHqElUxQ+E7hQyWWyqb peQPNrLN3OHeb4GfnUYkPCgIY9DBU9HT0rALdZO7lgy6vxZXbtU66jp0ayjD+9Z9mVcbQhiq3UpC j8/y8N6a8KMkYyS1ZfrttVWXDFg5YJHMjGVnytCdDDOfHTVaJfJHDOdqjefPX+j7wi8uF+gGZnpZ 5ZkwN+tlKQrF+PQR0slrDBzW6o2bz0ZYapygn3tps7qNzRfk9Td/xKNPPtd/U13i+PGzw4tEm3o6 OPPrmf0x89LL+UDDh4vuIdhcYZ+tUAaJkOvNwQW2ZajmNy3pWYryPrxvGZI8lAkFF73dBDBlqpuZ 6P5PXdXuOcrlV7i6IoG1hyRKUYVmakmDDGnls7ys+FLThCPCitZpOAZjFT8zyxuWd0S060QTJmuA 8fhEWRSF/AwDZlQe64EY0ZhUBxkB7DLRq2TV5MxwLVVvWQko3Sy6mBguiL+jNss041WWA6YBxtJY sIRWFw0G4siHXzhityZGtmoBQbk8L6YqOcWpdD0tAh/Zy6Q1GR2YpsUIaeNCkITCi9DDBOPgTr1K otFNO7yy8i6fCf5Qywqxb2JsC5aJJKnH+qw8zWsTT0qsSE01MKupt5eysQgYFs+xoRhg6zMg+Gk0 HWZ7/DntPMU6ejNLK70I3Rjw9wZuZXkrUz1n5itAaEbMGWk7Tf0j811SsNSOsDYAA7HAlgx0zBZ9 A4He94McPehBj/btEHVQHRFcoYY43O9vkZCdRFGNwbKvta+xoVsIv+K02rUX6FYe0V3cKFDsv9KK zaz7TDSSqx7q1O7Teu884KNnJNy3EZ73YnSTgW7IalVg0G6iyqaIhh1a4KBzTKb8u9mGJHOdRdBf uhbTW/XBGCxGJGpKf5x0jYWa2uwrPIRB1BuRN+WjX/314c8ZRDgIvXv9QqUfDS64dqsJOtUMZ2fs mVmqvR9d4MsXSyw2e5WipAO8T56Zp/zk+lLuyWdPPlKGxZeWSo3hgz7M20t6Yu4lfbh4As1vvsHz L/4P/PpXF+h2G9huXsPbbySdy/KLU0J5v8kqhdM+G27I3mtNSZYAizazF35aX6UfX0ibmpl7zXRy bcqUmiyZwSU3iu+bhT0X1RyLghnV9qAMYNlTYP0dNvZ3K/08Bi+eqGxi11gcLkncUnCNfDCHtFYv i6WCMjc25s09pS7bGbaIK6szabOgsiyGf0t3bZVgxH4Rh1TGSMNj7H2+5BWaxQyD8FZYMmGENP42 ICKzTg4JqB7BHg8/E1/qtVQ+TQ+d95QBizr2ggq4F5BcO2bu72tHGEhsh0aQY7maowgfIeC9/okZ 1qTRx1HKjB5YPQhaeRVi2Rijs50gaNyL76kX6Bf2PCqgHXeFlyP9S5JBrvku96rNGjc3r/V8+nxn OJxQYLrP6OrigTlbvd5+ux/itCzjYhZl6HU7dKifZTJF9d+b8a9zXHKBzLSwLJtjUKrBo7KuD4wO ZlgttmHYB70PzsT4JZ2W9j6lvqkXT7eesEeJWGcqoVG10zcflAW++OZLLKsE4/N3VRRYljEr0TTp rRNJF1RPDH4QxV6hNzzSP8wSaDHfbJsAPT8cJ3ZsxH9oHVDBzgKbN4tyLN14rwBgoLUUs3SBHS2x BqdICF0tOK2IMe7ZZJDrnZPVoaVHJ2cmH8ySZL1SYGQ2RxebwKNkTILZ5bfw8iW8zrnwKUzjG62W PtfDoEWOYLN6hY+eDvD65XeSh+VpyeyEQYH4KL50piB5v9dkhLlZS4qZm206maHXa+maiL8q4h5y bgZSbtyEsh4FU4qW5V5/YPe0Novgj2aw4hRP/RGnMMoXYb1ZGRJfhGBOL9eo1gxeQNI2M1n2nGo1 CJZ8zPQMBhGqZCPEgr9FigxOZ54nLAOx4bKshGm2CRHhacq9Y0hvXp9hjjLE7SHW5OAI1rnGsf8K YZmhgLOlT5IDiJfPni9zjR3z8xxpmSCPztCJFvArQgXYgyFEIzI56KSlaoGfabmeokFO1FuLFVYn CVDuTPvrL0E83yZDNNYTtIsCadxW/40rLOY2oGAHymmqMVPidHhC2ekGM0OrAOgDcLl6ocDGHt3o 6Agzut9wKsqGe7uDXdBELwyx2XtoETz6gfcn5v0rTSTwbYmnOmuqK8Ua0Q6HLax7kvXfWXC7b7oz U2SmTHyfQSQM7Fz/7sPvcYBy+n9ykl9hifl8hePTMwMbi/hNtbAH62H9yof62dMT/Ok1S5/incDD yG6yMC2cPvn4jVLq1Vdf4IL6fP0LVMkPufgSzbtTD4F0CwY7orHNGSXVKf1QBPDtJWzScmGYKJJX 0w0Gx2eySNdhQmXPo0co8rE2XeaT1PscbcwQJX1k5R6zmyt0BsM3ApZOAgevqB1DZreXWEwnOH3y kT53fdMJCdhvEyxXU3T7NmqmaiZtlfgZHk472e/Si9dIMB4d6aUZjU90MklWWC8awZVrnS4yyywL AfT4PRdPP8blq+9QFbQRY5CpVJYGXqFJCqe7hRj0lkWx7n/98rk2OjezfO8SZokl5vOp+gWUcGGW 0xsMjEbE3k/AJmeiUproZGkjKUOjLdZMDXtmgwLF0mI+neuFpx5V0GwI5+Xtt/BCBmPjkTEDlOyy kzK2fRboHtQb3K8M3lKUNjzgu9HwUiTFNYqggz6uEFQ0MJHLowXbks1a7lEreQk6ZFlsvRRyBjfI vC2KgG7R1Da3pj/R8ALDqoVg2C7fJ6iV5MY3FzO57TZDSGdoxau/DJOVtYfw8y062RIbyReF8IsU VUDbeU5kG4h6tODbHgT0QEI+g1gUYzlfqCTkZL/DA9ersF6udNDpQJDGvr03SWieAO9BaxzW97U0 6rBQc0RriZmDzpWUW502ljtleX/oS1A31U26xoCgsZyO1NETtpP3PQqIGWTfMtPBRyWXdsC+s/U3 TXXl4PxseWLNHToYUAQePr0Y4TvK4saDNz7U8PhM2cOrb/6IxeQWR+ePD39HYNjZZ59IBHD3ngbj W7dDUAGejGx42yY1vlJvdPyDiHg5bxBs1+3r//MjSHJFWcQDy3e6OLPsnU1N0TA8FkWED5gCaHUA etifqxUVDrKwYaQe1kON63oRbDo8/xhFSdxTE48//RzL+cSMIXYrbFc3iFsj7LcTFNu1bNZpES4Z 44DZCPFA5vYrwC6lfmTvbRMj/hm/7uz8kT4fdeIPE5WkgbvbG6w2OY6Oj+FRDzsjOt5Q8Oo3Cdzn SjGq73qeUNKmNmqkY6l95qn6IAxILBpIeGaZyfug8mxf6HSv6RmzKbF61iSuS0/SgciIkuSuQ7HT /7Bu7nPV91Dk3JqsTKViTTlJrGemQQRDJD5lK/2G8riIPNu4Mmmtp1Ec7XNSRS9vKbtusQk3emGL vEQQ5YizG/gNcxHOcgPVavLUNMVS3Y8h2wh9LHbv62P6SPMAWO8RBU0pY/0li6/rNjKaV5JvkIYt rIJznCSmbaUek3tJuTHMMGSvPUA0OkvEXnco2lswIuVoa8oUFZ9X28p7HibkULK0LoGG+VI4grOR nLUe0HU+dLVv/3cdM+wZSPTceIlkWbifzf5XPWBQAHW/g6h8Iz3bMmt6o5pZdCSe0mg7FAekUomI 2g+5hLPZDOt0K7VC+pfpEfHFryoM4gLX2wWC1ptsdd4UqoWy//NwHV88xW3WlMfaD6uI0pxgoFJL L1m2E97nxzaxOSJl8NTap+gHe+z2mUqmwcnFG18rMblsh9H5E91o4rYWl881XHh7qaex2qq8Y2nB hiw39sPA/HDxxSIVpp64mNutYVLWky+wvv0T0ryBVhIiDra4vVrg0eNEfTqm+lKSlCRtjtG4p/+e lcSVtTXSrmEHDIDUm2IDkidRDV+QSkOj5yRwPdld8UGbC/TKZQ/eoYxjVqEJjbOsl+O0wzt1u0Pt A2ZvRqXZ4+bqRt/T7Zs7ND8nMypmbcxyeH2SSG6xnLeeW13m6VwlN9WJ0tWT1rqEkL+dAhcDqZMn cQwMBlHSgNTYhw05asoXy5EafW97nf0oa/gyuErS20mgcIiRbkOTLXEpgwi2zGycxZQpH+SImaXs UkmbHHYpLyaIkYoNYN6Db9hL/RlLlJ+wAYbuaj1F0exwFij9czEDhPK23lEl56pCRr/m52dUHToG 7XIz/iD1hYfLydmFeQg8UGIhflTPgFAHkpFzavBvcXM7kXV93UO8vLzC+fmZ2be5A8HdgYMQn+6d 08oqS+k8mKWXQKUPp/ycBJpTj+0FO2TswLF9V6s50H7MBA4DMTJ0A/gexg09C2uZkgS/L/Dt9QxX tzP1LvyNh3GZI2nW7i97NEKKeJWY5tQ+evP0MdLjm70flmT6UHwkuwUqQu9ZGr71dQ9/BstBiZPF BKIuDIgqRv33r4cuwaZ++dp6Xs4g9eHiRu6PzUqM6er8+pWBRp3/3eHnELx5e3XQBc8Wc4EbDyj6 96yaiqQmL0slntijY+HBit0tOu0IQbqRlHKecSrrSea4qigFYo68rU5TxNCSzilt3v8QgWgNJqYm Tpfs4mlSSnnZrgLV5O5WO1NaWA67w/5Ho2wg6XT0dXoevjnv8OgNIjuMBIcobNK3WWw1vRkfj/D8 q5f413/7G2z9LeYpAcIBRuMhGgmzUgOCzqeEMNjn53Ut1xspndJ9iFpYzB75WjJgsk8nhQphqcgl s4yuCm3j2vDCsuIar8XyhwdZPcnjM6tkvGH9LQVOQRpImDZwqPTGkjamk6n56WkSaXuDXMp+f6ig xNKcn+HBJnR+BhX8/TXyRQm//4k8BrnY/2T2tkcDVbGFv/kWVXOE1WyBzvhNEPBPWdJdC5ugdEa/ 2Eplk+qa+c6a1yTkE68k/FxsBhrw+YJnUs/o9Hrq46ULGqgG6IzIxCAWyoJUnR2Z+bHx+SIvxs69 25SzVpbXbLqBTIHL15f4+JOPD8/hH/7rP2pq++zZM/zDP/wj+v0+Bv2+svmzs9NDP/K+QjMQKBvl JgZq02s7YOxAV5/VHVIW5FzGJX1Ajn1Mn43tDZlPODWP8Lu7NcrOBcZtqhX42Pk+vprNMEhKzCYT bNIUZ6MOxr0Et5d/xN18jcGz3yBudR887A88DFEeMly/eo7huY/u4PstvSRORhEyvUQ/zoW3DhTc 3NfffSc81GK20+lIJ2lu1NGJwTJUA1Nyo9zh9csXaHUHmkDWSgr10gtQFjga0vrdV8+HjWEy5yfX r9EbjnWNbPS+DZ+of0+9WB7u9wmaMdVFI0n6LpY5kt5HQOcZ0vk1Gl6GbLEQD469JzL2d5sSg3Fb evFmsGovMJupddOTGZJSf/UYffRaEa5eX8qqncpkIizvUhxzaBAE0oFKV3vMp6bm0Gol6PVbSNcZ 0u0KnR77W+zllHjy0TGKioYBKTqDGMNjNsbpBE0j2KYwbSZvYtpL7JGdn58ryF9fvlawYJCSOoLT WSLFqFarrAOw5GVqKWWpKjgJEvI7KQxIFYxD89emgjYxvW98C+UvlUzDiRnUwpDSum+ZaWFht8Ei TdBt8WAg0NZcZYwZwX4PsWAxer0K08UaeyrNuoBFMDKfN+W0F7M/Yd96gu1kgvb39Fd/0oqbWFYx rn63wOOTJroDCVU5Iwk+yww5VT8kt8LPSUv3jWMqNEHd7u1mhtUyQ36Uo+kwk5PMQ59m07LxMuu9 KGyhjCwjGo2G+PJPf8LTp08xCEhsb+nP6iyIpd9v/tW/sr0cRfgP/6HWwzenb7WSNFWtXeJNeLB+ p4TBCmo5ZYJ/bc/UIpN1f4zeBbVDdA2/4aqdubnXqHcWDscj3GXRG7TIZnckzlvzpI9mVWF2/S0e nTTw+afPpLs89aw+tguyZuz7Fv+u2T/C0/dMXT64tBltkwtS8N2XCirNwckPZlqEJ/z+H/7eJm7t joIZBwLfffk7aSul1DNPp7i7usEv/+2/R+89aHZmRMv5rfoAarZX/LOtJok8rVnOCL1NjXSnX60H uFpgObnD6dOP3/x5uw1efvu1WATsybVOfolHf/3LQ7mRbZ/i+pv/G2EjB3nULLl2uzVGxyZjy/Tf TCF2arAaNaM+fc3Z5qFq6Xq1ALxInFDSLfhnLNVIPq3NBI5OrXQNSN3wd0h6QGfYd+WslXIUi1vO CN9IbJOV3MDmP8gNNJftlgWCSFMdK7kFgUgS3N5eK6tnJsXyleKCbPCLB7k1rJaY+o4zyIxBEAPh dIzTZr0QxyuUYJ1Ni2p0N5dObffSiANZ7DGfzaQcwHvOcrb2uuv02edcYbnIENAjUQDdNYqS0j02 qle2ssvhtz6WDNH9ZgZ201dYrV6jHH2C0mvjdOgDYQNmKP+Xr3QxxdHTT7Bcr9HKUnrAiqNb91L3 zGJXC91flvacKjMD5aE86PVxfPpY3pYqyVweMWBgenCA0qmdyhOUgKLOPg/HX33+K5WWy+USo+EQ tze3ePbRR9Yzomipm9hykQ0gV/QuDXot86sPkbr9w+utMYE0zzAitnMsUk/T4EBW5hOPR1qVQSP2 srbfG4xDfd1a2dRxGO+y+xLP5Cv4b4tu+iHsW5xcIN1M1LlXI/dBfOIL8ND3rwYX/rkIeG5AwgR4 kc+/+Cd8dNrFZHL13oBl3okE49moudsM8O/++79DGDcxXabGy4qbGJ9eSGjv/HQEFD1cfP53byDW 9bPonLLdYHr1HI8+/Wt9hoUMUD1xB+t6ntQfUof4AvKz8ufyejndeDtYcdFZ52//h/90EGTTA1Og MnnbKr3GcS9H5fUPtmjp1SssqKzZ7cq9ZL8zGhEnd8ocHpKPq1KN+G+++pNAvyenJ3o518sp4Dfh 94JD2r9cLMXylw9csym6T63MWetx88Xg7+IAhPdXkEEnd2vI+EqE7MNAYV+CivTkikm00KO79EDB kS8/S1ezCtsocMlB2u2ZwwZ3J7UI2C4Q18FK0soO4KlT+6CO4no7Epezco6/ny8XlSaKVkufu9aS 4jXxZR6fnOH66gpFp4NdVko6mYcZr4nXyHIzKztIGufvgCWpub9vUmK4h7ZXYj29AoIKGH78F/Wy hEtbTnD3T/8bovPHePKkg/22QLWyprXgJ5KTyQ+KxiazY7IvfKmvbr5SRjlQ7/Ke7pay2e6XwqyZ 5TsPYeLN+gjiHQVodHg2GzFaLSttn3WoBVabTdwj3Ou9a/vFDjcJZLrBVD244/81ZdRaK0uixHp2 eubklRLILeFZk3+2nrVl2/yc9Pok8Jn73EyHeZgP72ENwn1s1mg1S/iZ9UTmSx+Ds08knbukZXij gbys5WfeCh5O34ab6vb1dzh7+skPPigDxb1txVUJLMqb8/Fv/o3Sx8WL/xMdZ3f+cK2JTA+Z5obo dTvYLG4xmd+i0R2ZmN7giZrCo5OWGvMsESmU3iLFZbdGGBPHlOl0n16TT9bG2dNfmepCUQhn9rYJ q71cbqMJo0WbbVPJfB8mjYvyGWVGm65UoMww8rG8upSu+elRjGb/BEW5c96QZrAqZYdNCgrRSG9c 5RXHxCWCFrMP2wmk2vDfDG58LMcn53rA0+kdVusFtg2iuA2wx8DOko6ZY23cKoeZbSpCtF2ry5oc HadukvKeiIy9tAa/AhjxN3JLMSwfs1IztwA+/rQp+IMZY5j+vNyCpN3UNM2uBwBNa/ybi8uBduLs 06XywODpXhAjyxtvsO6Z1CUMnwMzOV5Huk5tRE4sk6g/5h1JbNN6m2Gy8TFo95C0jAIlpD12yqTf HvooaOQhFpd36GUxwk4k8cXO4AJT8lujBqK39ueHFpvIPtULkob6uxFStKMZNu0ErWSP0Fuhavoo tkxRW9gXzJqNcCzD07xCvzvGJl1qGFQLJoY+tc9oxGGUGa52AOycoD2F8RRyaL6732KbrzTdC33L fOPY7uV0Ote+6nY6Kv24D7hv+P5zL1pD3u5KDW2o/12DSN0bYpPCug3gDJv5TssszJnwSsZaemek Bxnty9gTBjRWr9MFyAdvl/GDmOazVtaNzRyiPAilciCjhLCNymk3v5Gd6HTyEbUIEtwLS8UX/oPL RWmOojnMYWrLU4Qk1EZyf1ncOMnw9MBQf7hY0u02K6zvbhAUW3dSxri6nejP452ht7mJibXiXWa2 tVlOEBY32EXncungCIIvFbOKF9/8FzSiGMPxM8TdN0tZ6Zf33tX1fpg1sTHP08MvtzLn8OIOYiwQ VwsEPkXwcuTLFBfjMbqtsRqnpdRe7Y4q6JFPRR4k1RkIfnSKCA/F/OuXVwGMDfHRkQKa6EPyd+NL eIM4rDQJGo3GSGKWgpmkk/M9DSt2ykJYWlikgCZyTOHZuFWKTq3wHZvx1n+i/A1fbsIjPFFAiKPb IqC9PLll6k1ZSc6MSRNWOaUYJkrKofTS44CHgUSEWU4ta1mS+qUi56yePJmagNxjmkbyZayrFS/r l0E2agzA1K93Sg+cUMUNC8DMoNhDFEC62KAdEDjaganZGL6IGVrk51hNX6PdPzmU7jJgOb5AZ3SC bH2HuLhF8+gRfBrR3vyR0g8osiG8sKOydrcv0HyLJB+DGKkcUZZiffkVHj8botwuEAYpBSjw6Sdj NBv2HhJAuyODwGsj9rvwwhxpvkVXMJgmsn0qfByHGHbAGIGdmL+HwUO/l5m5YDJ2QAil7gUybfXJ 2StSYGvPgveWApEUWIyjCAua7cYx1uuNYDj8/91u91AxMLuzrIn9SAuGgjjUGacEGhzGzklg14Bh PtNa4lv9UPXMTHJbxhROcrk2ylUGXd9Mfgjytrip8sjG/N22K5scgdGjz1jDw2K1wDrNjNIyvVNm xkZ0HaCOzp9IM+t7A5Zslu7L0eVsIggBg9bpk/uUlhvl7NkvP/AjfDTbtFmPMbu9QibX4RaqaItd vsJ2eqtMT9Mdou9dr+ny+R/Rae9Yz0ptguKE63KG7XQkYsgAACAASURBVPwa/uYFgqSJ9TRA0Oxh M7+FF0ToDI4kf/M+OpKyLrL4Gw3MJ7dY3b7ESd/HoNtE5WVoxgTLdTCdssEbwQ+ptmDTNmsOc+Pw ZafQ/kKid5rysHR6gCKWFrrj39WnD58bNaxMxM50knhKqZzkpig5Aje4Cn/Wfu9Ji3+2mMkwhEKz VIjw2OeKYpuMOtv5La3IdgZcFN7HyRwzaDEb4WQ3cqBabVqpNtSqkhZQ1QMkVEUBONL0kH0ZZkwk OVtQyZQV1M/UZGssaFkWbmx+qYQ4mpKwU8rKaiMPgzTw+vkSpNnWMHaS+jGKEMGXV5cvDveG7so7 KksUkbKP+j1oRMBivcS+1Vd74U1EtociW2CdEfu1h7+9xXGHCf0a610u3FOjMaAAuDBjrAI2izuM BolEL3ckqnePkN/F+Oq3v0Wr5ePR04FNyhuETphcMafH6vv4nBw2Eft97EEF2gbmixvMlrfS8OJS qc52DtUaogZ8ThpVKtei51bWU5y6fuH53G0vedhkwHyR4rQTKqg+fnSGyNn9DUfDN2k9lbUQhKdz U0GTUzeiswkpMFOuqVsGV6jlmmqXcMFqBHPZ2B5nMuQkkUTeJq/V6avVRG0eQg9SGZ5S7I2Eb+BP lO7NnuN2u0Ly+AK9Zogv/vgnVMnIxqGdrkqph6UTA1H/Lb2nH1p0hzbDzvsU8u2VpWthR9r9N6eN jTjC8SDBJvckZyxSMIXCCEJkvTy/xKDXQdgeSnjv0Se/EYKaRNco8jC5foGo2UUyOMXLryIs1nN4 sYeXr77EUZ9UmT7WlCmJmwK5smSt+y+S47m7OTQgo3KNfnMvbaVmI5TFehl0MM0j7NufAv4G/cYO /a4rT6jE6KYh7PXMVzdo+A09mJqVz3+YkteKncIt1WNeF9CkZcTyrG3KmkZSJlq9jUdPntnXOm84 Gp8Gy7nkV4JWginJ1lkmTTTRbKhKStMKjr2d3x+nxcxEqirAYNDWKcvAxvKOJ6a1BMx8lKdwrZXF DcsTVJpWsgJroeDPWy0RbFI0W3wx7i0RDKpg2bR6ZOJkWhPeCNvmEaDPLZqiMf7lpcgemvYfe4FN 7HMTpuOmF7E9aShYMaO0sjLEtzdrrNMKFwMCVAn72OPV6xR++5n6j2/vQ97TpP9Y2cDN69c4uXgC L2hLs8lfzdCIImngk9erzxR5SIIVnjEY+CWqZolLlj2cRDdOUDUjHSjttrkxwTO9Lk5e2asUcsrb gTrXzZiTwAWm01ssVncqe1nKS5WVbBFOVcOGsEwFYQJiQ9k01WP/qgY5uI8UMlOtPLRi3nMPq3yN q1mKz6oCx2MTdLx/Mm/2sWqSsgUsp8ygnvdDzXjGFIPSqNfVrMONlfk8WIWhE7nRMjP1xlzcsR4p s/PwAPT9EZ1xTy/69TxFPM+Fw6GT7N06RzZ9idNTNsP58vLu2Eb78g9f4Ojje1Ly+1Yt98tIy94U sxP3FwfHk7e+w04N4jhqCoD7mmxfYLbYaQrHjc0RNHs8JLM2O1vkyxnaYYwWM7pyh6RjOCkGv+df /IOyj+GJbcICTXz0OBHVpSybaLUb6pPdzb/FrnGC0fH5G9fGwMDs7uLZx9iupmg1Y/RHI/XUWH5c TTO0Y6pIDLGlvdTyWv9fGBQHvrMyqtBt5AtFpHktyM8AYMHAJmkEDN5jz6xBTfAsg8F+Y9kIy1KV dDTXZJnIRnSTRFILbiYzbJhhqjkEe5rjUnL4xKQ/pGVk9JTlao2kxeyxhQZlcAn4c30IneYsU5kY OBZ+EBruqkNfO005jYaTlbRXN39E/n5m5XSh5jPlhEqZlRuN19mkFDmca7O5UpvoW228oADigIfE 93AvaaJJzidtwjoDNYSZEdC04eb1JY40lCDRfykViHHHpKZrvBcrkXa/j7h/aiYI73kfgihBtl6J Y0pgo/KYAFiurxEEJZqdezoas3dNllWlVfj25S2m+x3OexVeTSqMnvwVquwK+/I1YvV0+HlIlbKD zKbAnNoukTRC+LsYvmflOmlUhg2rxEGNhJF8ILpnqIgHIefdJVMKH+i3iEbP8GWW4avZGt0OFW/v s8uDg46D0xQFqXPWD+XPqKXCzXHHuIOKHSGzarqIs9zjz3vwRrsJoAFSbS9LQNJNEwlryTJneiGL tvsM8XvXNhpg9LSP2+ktwoIP9ALHfWA5vZX+0bOxCcHVXEQvpXfd9y9e0ENSs2rUPBdg8/TxR+/d KERR4wH+S7QM2j7FEYYn547KYoBEvtTtk3Nhv14tl8gXa/jJDN3RKbZ3v5VkS5bO1Fjsn/1aAe7b L36LJ7/4G0QRDVa/0Z+1W130OydoBkukuztcfTtF9+QjydzUo9yP/+pvdIrvZjNE7WNcrzlW38p7 rTVk748ocpaNPor4GN++eImPn54pOxHheL/CLt8cHIj1MjqqirIpfl/FXoPJvNQ6RHUpWutKSdeJ I+SDZpGpLHB075oJul6+xA+nc2yGb/M9bidTDJiBSEtqh+vrKyStLjqtloJ7s0mdItPtrnWQDPJg kIJ6c2uC5biYDA5+ZJy/Wu/f5GtaUlRgichndf9isHfK7ML6HOpzMctis1lBjKJ79rv4GXkokbPJ TV2Pvg2bZ2Ut+2jVvlQp5Q9GAsY2xmNBA1KKDZJUngODdgN3N5dIkoGgOGHTrMw+tB4KT9br9Mm7 gyYeoCTze56VeP1eB7v9ENc3aySDY0yuX+p+zNI9Hp+xuWwKDcxEzYGbWlE21S2R4tX0K6yXBcqq KRnoXr9nLQ2qGyQ+0myFLoUrZen1pj772oQz/j/i3qzHjjNNE3siTuwRZ8+dyU1UqVTV1V29zbQ9 bowxgH3hG/9ZXxjwhTGDAdo20O2e7lq6WiWJIkXmevYt9gjjed+IzGQyKVGlKc8HEBKTmXnOifji /d7lWRC8AzvUQ1P+zzDwV6culqWF//zlS/y7F8/l3reqDbe9MWVGKDdUSe1tu0LYBWAvnAogbG2o /hX3E42V256kEAcoqy2HYCYHhU6F6VNA2WvlTgpiX64BQa8fGbD0Myty+060EKVRmjL86usr0Sii rhJfdLLM8d0Q0XcXP8D5N19K0/r005+hSHdScxuW+7DaQyOCxsDEqDu/vBAxPMrJMEBRWoYGr8x2 Jm9fSjnw2S//jWQAyWaJ9fm5KCBGR3+NXtTFdnmBLCtxePpUlD7pKmzHV5KSd4OR1PlMvYdjD95y i2+u3iIYHqok81CzOv7ZO3qkJhVOgFlWSJOdkIi0BJaTK7mhbkT6zEqCEU8oUiXkwSZQ7g51gdeR PSTZJI3oP2ENylpXZUYu4Tq2CHs2y5lF8aFvJDwk47Ic6Vs5Pc1iVXG1ls/EfyenkPi6xXwhmLPq 4kyb1V4Poe+g2+vCcfYkuBK3I7gZKg00dmLSn2hOSu681j1FnG/YQC5LqukrHUNAgOw36WeRiSGV JdhAFsVL7VUJu78hSrdAU3HVoaKlYNEU9sBrqhpQJDArgpqHhzSGGxVMXjt+VmaT/F3CAmDmxf6I w5KDAGBbZLMpnOj0WzDBj1+8detdBrvMBBs328bwRz1kyRhGtkRZ0i1pjtDNAVPpMDpRZSatxhft gGWxmGO2WKPjv8BwsA8zP0NBWznHkAOAwo1sxicFMzC17bq7wg887SoDY8ChJDFddoot6v0QZ/MF 9ssag6g9UFqqzrta60K/InuBsjANTkxBoeyBZrcad74vgxqhPTfuOjoAyISU3mL5fI9YxBibTaoT SXmPior/6IClTbzbUa9OqArU6Ub4Tx2vi/39ZhzfvMmPXbwYpy8+V5zTbAIjW6Nnl3CHx8hAZ+J3 L7xC/LVsIe9wfPxITlMZ3RPgt13LCDY9/5VMgU6efapcwCyWPlj/9K9QlqTQKPjNCwYIe2x6N8aP NZuYBwgJIHYCUTPg3JUmHWntYDgaoRDJVuoRvfveqmSN0Ezlvc/WljQ6ZxdvEfVVgpnDBTJRd4WF hO41lK8yVABPS5Bb3WxGNUUAq1Af1RHEtKMJkASVqtih6mnLKdxABcTmSzz91HiiRcpLwGswVywb 7d5AcVH2hRCZJVvyu6o6wYxgoGUVf5fT6rfXpP5oMGVPrcWoSSYoJFYtF0S6hOqnriu/Q8s+7fXJ qdkgovUh1V6TmhDw5NUmuvZKmglxY/KqeuKqciq6bCGNapXr2ZK4NevUoK3KorbIzkyvrrDb0DyV /DYbXbdGFFpCl5KyylX5Heu/gmlqu5KixjX7imYBt38s9CurTtE9/RmqPEG+APoRpatVA4y9TJK/ 2edrTSf4OSeXdAP/CQ6e/41+puoR1pe/Qp5O5HNyn5KaxYBBXYP28PvAQ9f8x4Tb8UmEufEmtDoO AgdYJRW+vpris84eemEL2bj9fUr1YglYS++Mfbff/8uv8PzF53JotXZkKj8EeBlxeCqhzL1SNPxB Di/FcKMZogikJDWkjG8zbZlKUgTwYy54a4V9F9Eu/ReqAm7PsT/Yx3WaSy9HqS66STgh4dibkzyO er9vyeh4fIAiCUX+1jFozt56rGipkO5owMgNDQlWtz+rllEkUWabKZI4xaeHJ/j6n7+Gs1zJZIpG qKNHn2ppeec1iceSXgt7OZs59oZdxDRVbWYss9lGbJ7O3lzB7D/BgIGZDx2xSTFLtCZzIeBycAgz naFOV7DcnmQEdZnj+uvfoHf0FKOTp5IVLeON6HWl6QqdiikwMVHNaL8BhSoo1hD+l5JFNUXmQ90G JpZUYmq6WWDUGYsxhTSh+XO8P40LCSHLCjxssjURjTNRmnS1MYRQLSe6nJbNRKdRdeVm0odegZsE YHKxsd0+EMq+ZzBSzJcGGUr8Uj2AhGX1omMgY/BtVRv4c/wMzHrUzqoRPWz08dtgJr2OvLVH16kf S2Q22rn5W5R7O5qXgCc2UiyfqNjA/hA5mCOxLKPRA5HwfAiIthfNLjZ4axPrJIbmAT98cR+JczWh Mo6nCh+Hz2UPJNs3MIproPAw6AYw6gyb3QqhayEidgoVckPJ4bzHvB6ilFqWmM+mqEwfe6d/JpkJ e3amP4C//wtcfPl/oRtSg599PA4faJvV3EcBi96+v5SKGA9oy2uw0tUx9VALnApd18B8vUbokYDf eaef1baaZX81RqjPP/1cnsuctCZWKP2RKMqqmKTq493SfiiLrP1oqlAIMbsBBrfeBCzhPZdZPc2F k4/MsG6UBW/XRsbg9BAjonyJsg5BCaaEOJ5mknX57Vco0gSPP/sFwu8xqmATls13CbiGicm2REBc l/9uVtfy6WTj3qUcUDsqSwWI59UbjPuWoLD3IwOL1QTb5Rbl6fPGauzdRcxWgDV8u0btpIgM1uc8 NdRheblN0OkfoPfoZ7B89gwckTJmQ3w1u5aam5kLoR1MebOqj5z27yQZm8AwspGUnJw1YLhGjoZ/ ymyE9bTG+uIah4ddCfBtr4c9NMEwNb0cZgXMjCQokLbQsApa+d+MksIUscu0ianNS9W+Zy+HfXY+ vNSN5yRuWQTYWU8R1lP4XgddyYA0UPHYYxNXm6BasoreUcPqF35joyx6KzPCqZyqOLSHlkNZH/5c oz7KCR9LQmbAEkylHCTsgoGI9vR6kqu2UuO6QqwRN7H0qPQ1VIKIypQc3FBkUHFIklkJ+FWngO17 Y8mhQZWGtpyuedhul4KDq00b/V6/oZjouP/+E62YL33Y7i8+Cyz924xWSrFkiWQ7QbD3RD73evIa 5W6Cw0EfdrnFxj1GGVMShsBaKrxaSMpdk2kw2GkrgPd9tdjCCdjgP4YXEgKhkzi5l90xxs/+BsXy NRxjotdO7Ou1t6gFwO3kTnwBGoKxGK+avlybdbGGbTrw7FDvJYNnuSUjFW+XOYbdPrpBK+Z327q4 M3tUbiKn/axaJMtT/S7fp/y1p4bDwg1UaIPyBpuStMF1tcFPTGQCH/FmK6wJYgu3mwzWl//8DzcE Q9U40mkLAwJH+LcPBTf9LZKXde7Bo2eInv2lvuB8hs3F17j65ncYnjxXXlpZYv/0k/cAdPfXcjqR xinhERp8XHF5NawUlnc7Wpa0XjTVlfR7d/MIojpfoVsvEA7JOufncfDLn/8EV9M3ePn2ApZNxLMK eNxdgWdjzD6GUeJNaiPFUIplSpI4dQ6ER3DCwTuOOHztFs7x9uvfSe/tJng2hNkt1VI7Kzw76SIe 0058IFZddxfJtd39TzG/oMU8G6eNAaooG2h2QDdkZhHMNZU7p2A7NqO1yaylRGsOIQhiyWga+ebm QZP3L71/E7ZpIawTBPU3WOYhdtYnsN0twuoSTkfBetQok5+TEqyx9ZIyULmDLSpdMrCmIc6+HvtO cqLKzzagUFrGJTt5qEOXmuStFA8xao6oSghYkJ9OXHYYJJhR7zTzbCSc+fCziSucQpjo9Uc34FEx rZD+CHtp6oAk2VZFUcQcy8UUZVFjND4SmhmzEbIBGESjKJL3yj5QkjST6jtr9fYfYfljdPffb6zT E4DXdrteyrPAA9VPZjg/O4MV7aNMrmHn38h9uprU2B/2UQecArtwzQKVuUBMfBMn0yXlrbewvDGS zIBJTNdhF57Bqa6O9tne2NDpSezoLUTDfVRRD2Z6DaSvbtx5tH+nyhw3e1OE924LO2rC8e8UOGwz 2kbiFpVZo+uUYgS8ihNEvn1DdDbuENaJ3jLN+h0j5vb3cGJPH0mRR2ZWTPyXyb6llv6SKTcwFgGR V8SVMcMz0TEceIGJ6dUlnIT9rBDWiz/9izuX/l395zZyiqaSeBAS6a3Bp4eNnOgb2FgvJqizGJ89 GWO5tHG2Wsipf/jsM8k6vmupL2GO7vA2A+MGpKmpjFxb6EIS4+zlF3j2s1/K34lcp8sN0e3UqOIG 21Iu1+LJQrGzvDnFgSiMcHrUwzp/i7p8Ihnc6uy/CBLd650iHD/Gm/kKi9k1Dp7/vNERqmF4fSlJ FT/7sK69SeQv+Vv3/OqI/v793/+f+B//3S/hehFimVSFMpW6v9hg7g36sMjxEjSyos41y1Jcjp6I rRkGU/1bBxrh0THANMhvlWtRYX+WZCKWd2MSQLE1DQy+wwMqxoHN5ui5yhJ3GgaCcBd15+vh0N4L DSjCYytzAYQqWFQndopvYinZJO8mMWQqW0MWA8GircKoOBuxp+b2YFiBKIkKDqdSaARPZ/LJVGSw ofLwc/NB2dJmfiPKFDc4H7EEI0CYr89MUyWiRS5owSwylNM+3iaYzxdwfTXHAEtlIUgXiPMCuwTw R+8GLGfwqeDwHlotHUsDsz70b+Y1qEpcbqc4CFKYwQGWiwls6vU7HiZvvsGzYYm0SmGGNOl18fay g+HJz+Af6RDDvnkU390zVqPOexd2YdoEnRxgS3/Ccgo/0P1hVh3cWEe136vbC0v2+es1XKrzMngY ldiDEcfV6oOZto3jUQmrpiaZT8XMRqGB2R+R9cpm4N9ZYnNA1TIxuFpBzd2WEs9MPvjRiK3TSa+w JqioKJpyevCygnAdH7tiiwGn+nGC1YLEfY9mIfebi3cvTgsbU/NOTntml2/lJDk9GOL0oI//+z/+ H3j85Cm8/aeY7lg2UEN8BBREGn9YIoanIU8JPthy0srUoKmLmRI3o3duounlWxHZe/LZL24asP29 AwlqwqMiF6nMMeoGqJIcb2cZ+sdP4NhLvDl/ieniSm5IbR1JL2G1mMIyUzhRCCsaK+q+v4+Dvk5B +Z4Wl69EUdWJFCB7f0l/IU+xvj6HHajz8N3vY+/i83/zH3A2v0Rpah+iMAvh3kmZcoerRimYrl9K rt7SbXQqZqIulKeouC1V+bzRHKLRpngDkgcXwGmCZtvf4r0lVopAzpawyt2qfNa2R6PZteOSMd/4 MkIJpwJsbTNC0efWHdiCLrM4w3RxLZtWKCd+R6Zx6ticSeYk3o+Neqtr6zSOQZAnK0Gtq3qEnX2M I1yqcB3ZfDllpT3pfbV+hDJxvHFzqQTcyuCnRqJaKvIzSh9OVDLYK0saqAclYwZycJRZIZw1qlEY Bsn8sVw/QhKJ7s6LWLPZeyUhsXPftcSVmjr+FD6keoJfylDH8VJYyLCN13LAd/s+/uHXX+D4aCTW XY7XwTYNUNqPMD5tLeYeeBTvLfteS4SL2bs7eoZk6aKTTGHZGWzvwxpuQYdIehMpGNhZklF5gWWk hbwkvamUPcVGALmuhIF4otzQ6lcpVEaYGrRxa/Bwsv+bYZQ44hCu4/jYxkslSpMlUMS3WZVJPbUc RkvsN5U7yyk0ucCSfPhUq/jIpjsj6fiEDO531xLAn/z7/xVvv/wN6jTH/pPPMWfm8+Yl6iKB7feQ ETVuWuIReP93ht0BzIEC4zi987IV1nEJb3yr6smTnjdnfnWuUiccAPADUBXVJJBwh+1qDgresEQz DAe9k8digz5ZXGBVjGD3QvS8DeLdEvnk79EPA1yvTQwffQJD3FTelXHmte65JZxqgzIPhZ5xd7Gv RBgFN+ng6InKvyRUfcylRyD6526A2uygd/pzXEzOpdxkBlHG17D8LtxodLPhBEBXd+DZPaEUqaNJ p2km086JYEkSkMkDzFR3XYCddXPCJQKyY/p9g4VrcFKSETWZSdu4bzOVG4AmS8gb6y89PdHigch6 YICRHpb2xvgSuw1lnql3xge+I0JylaF8v7b/ozzOFJYbifdibbio2t6cYSM3fMTWiRhVTMsx+ihh FbdiLTr65gmcyudue1jCxhCfQX19BkGFaugEUvXE1bWoqMjrY7k1xCbm1w1E/Uc48g+x3W5R57H6 OpoROp4Jq07Q4ZCjiGFYGvjb6SWJIaIkIVI39EEkW6G68cRUUTpT4Ch7Pv/Oo2ir4F9x02Zvykax W+Jw9AhxnSMtR4DLgcfHm7NWAmshWPh9SzIBCDvPYKZjVMlLMaR4eBEiosoLRqPOwr2QVezpVcjI L2x6d51aTUuycossdzDs9uRAbq+NZGLSs+QghL1CE/WN1Ewub4HZV6zeE3LtZIDDTM3g/SR/U01D MooAiCuP4rzEVKOu0B+NJaj9aBdUygL73T4Wl2/QHe5JaXf95iUCt4NwOMD6+g1Myl6cfPIOpqp1 s2k5aETZ7rId0iSHO7qTrTSOtGF/KL0BBopNOsfkzdcyuaPcsVeU8rqEAIgRQYPSPltQ/4cN1iGy 9BsMR3152GaLGt3jX0hTPIuXUtLdPayEbrPNMQz994KV0AVISKaVEjXnmxsj/nrX57Aqus44MEaP moakgd7oSH4mXs+RrhfovRcAVS3TCTxURq5CZpLONHKz8iCyP6UKoXEzRZRxcUNQZkZ605doyicx wuUp6XNzNlmIaubdKlE2Gvqqrd7uZRUtlCDVyA639kwylmYWlMbo9vvouAMlSBc73Q/Ca9OGsXoM VsjMAeJOhBIs+yilA+SWT11V+NhiD2fCnaOSp7oF6evxs8q0k6YdIqeiGXwrP8MzvsXAyei/AY9K D8wwsdkZKK09GFYIL1IlTr57mV/6QGOWJCtvM+t4irzYoL7+Ap0uZ4UakAj+TKsRTLur+unMMvua VZAGxv6u1fAhb83/9Bx0nBAWfPhOLVQ2Jkd8MDPnKWxv9IM9Lcvm8Hh/1qdLgrfP5vwnmC++wHjM /t/DgUvdodsDzkBaJvLeZKJHFZKtGs4SmiJTPMnEmPnrJFiycLYgJFg1PVP2ydisEicmehtJCJLD nHxhKZ35NSE5c0Cg2EIlR1PSeyXDGrpIM9CxVGRfy6xMWMxW2p3e0kXeWw2nS+gYgj1693tIguaH XUyu5YNRFuaLv/vf8ed7Q5ihJ+oFu8U1KpP9Hu1VqXWPRllOWcSZ2duDRU+2u2RT0xQydbs4jVEX 4EyAqyxZjMgU0jF1qpiFbZYz+frR00+xml/L5dpmAczMh8UyZPMGVn0l7/sh70AGqXDvMQz3/Yli q9lOBdL714HN18BnEBNW3A29RQTqcm56nTCa905TaZAWWkaVhkYU+d18sEWTqr55WFmWq8mknnCU DearqRyM9ob0+jaW8pyOUTYojBpwKoO4ckalzyVyxyYMmxtK+1T6R52iBaDaIJ35ujzQ2cCOekRv a79CTmaRq3FFKJDIehFhI4bKZN/OxgZ7qAxXyl/Snjzs4FdXCIwNOixJTI4SDDgdT5DdLAGlFyJB STe06LU3dKZWWcG5p6vVYryUZmPBDsbCCfyYVVUpVsuZXKt4V8G31ki218qeKPpITRtejwIBhZR7 8lAbhkB57i7NWPVwFp9Gm9LfvL607Erx08+foDKpB6XZyQ9d9h1WwXet2usjsx/henqNg5ELk001 DjDjHOlmDsMuRTSSR6ElwEzV/JehT9sq4nDJpy+ghelkgoMDD3G6QeBFNyW6TCWFIKTBVDKhxoWo ZcDIlFach9TpRwY3TZtCPCgJ0+A9ayoYYTQIPa0jqHfVabNgPaJqgfDxKryZJgiGDyh7NhtTH6J7 ZFBSPcIehjZlc1MZ83f2j/D48z+HV8cYDOmk0kFeJliuZ9hdLUVEbb7bIC85bbDl5gum6iNF0LRM 9CRAtNxBjkxFEpl2WcP9G1vsqDcU6H9d7gH+EKYXYnASweqU6GRnMOz3P6/gqXrvwzDYcxMNLlEq eHfyKWWDyDPS9tyVQFA0aPTWUJIZZjh4X32VATJJHHhZJg9LayS7yq8VYCkGq/p60mMS9LolQYH/ KHrzzQZog6TR3vgGy9VqabE3IPrYzSnFXpWK6dFOXkGZ2hDng699GbHo8gJ0HOULSr+KlAk2q5vR tmLGTAmQLXaIPY/ai5CaI/U7USq9BCizzqS9m1UWbLquND2Ptl+lFKIG+9MI9el+04auGG8qNlq5 rA30hn0ryvUww/Ecnvy8Bx8XsBwvwunTFxKoi/wATqeC1d9hNbvAxdUZHv30EE6j+dU21x9aoqdG Dht7QkT9WxUMfk7xWaQ7lIfzWQp//HHv66FVhCGy9QAAIABJREFUSpnKbuN3r2h8gmwbIi428Kql gFYvyGec7PDp549hu7aognKJjLHnq+tUg7USyhMDT1UhFlfvDDVVS1NVhlB6FhkNKkndUqa01aA+ oZIRN/1Qw1T1DyVWcyBCtoq2J5Qnagpqn/uOWnWslliBtBxaK5RRBL3favTsHMgW0ji8mq7h9/dU 2XIzERNEu/++Zb1+UAXucZMdjCIpi8yahOQ1nhAgx0Ydg4dvS+OxTq9wNZ8hc/fQ3xvIpJAX4r5Y 3oOL06jNurGkvwU4ihyzH8rX707suKk5tg6jIWxXMSak7lhI4CVTTHdL1MG9ZudDL9s87J5/2oxu a6QLamx1kBQk8A60jMpyKSHIb2z7C/LwiUTzRgKHTnjuQiRMWMEIeZIg3aVwQ+bUlAtR5G/H1L4M m+f8LyWPW5BpO9KXIUDDO4MEPMU6caPEu1hOK74/CQCNZXwrZifcL/YxSqU+SMAqKUuj4D9tbKth G7mBYo0l6HvFTwllpqPAV058ueIsh+MGIOk/q77FKu+iNh0k1h4y00NmNMadVQbPzNGpdgJYZIAR F+EGmtGi2lnOibYWNzgfoqYslIAuyUCtml2URer1ZfJUFy4M9+N7Q6R/tL2kNoO1nS6G3hjzeXwD OG7/7UNLnJZs9pjINmAKY2M6y7DJLRj5Bv3DIYL9z2BaH//e7rck0Ei0fMxywj7yMkAZl/DrJU5O x3j29BkKxKLSQFFOr9nTN8OeRqtK0Fp0mIq3CAJmniTDN9g40mhcVdtgmdhKHklZR5AncYE0qeXQ SDimqjgrAn4CgdA+p5aW2n9U70IDyY7cVbY82OciSJv/trvtYRGTst/38M35FBdxLtMxqnDuHz/C J4cuposC//rlP6O7fyrmDfX2GvNtjvFR0yAnUHE7h5EsEQUe/vQ5nZwb7aaGUS/25c3k4GjcxVWi ID1xF250jr4vcLCBzOymfeBpc89pHh8ikrE3i5mUeu1S8Tu+j1uIRAua86gSaRbSF2O29l2Lw4TB /oFkkASaHpx+gvGwJ+oLhkuht0bs0LZFNplBlO457aJ3Ih/md/iY7WcqC2wnr+GHjSuO8PFU71rL rQRhHWnwIiCwcYmRE85WfWzTdATn0hKD5cFmNkTUNiVPmLlJb4vXmM1zUiMygRqwDNBDtuH50QhW hNtcaUwvFrMb6RoxuGgmlDrRUSszAWlKSZEK0RgkGTM5KjNQj9Ek/4Qo8sWvUfkHMMutgCtFHWLA 3hADGFVB7ZvN33Lo2n2hyGc1YmhNLBbziWKf6F5MZVY/kgyQe45iiR2nojLLj1rMpl786b/96O+X tgk6Qn5n5bDepjD6XfQ93Q9KH/5hi/u6ovAhsUhSKj0Msfjg6thIOnuYXU1xtE9V2wjrhE1uIGFf kAa4xEh17BtJnypT2zc+NrOkQNclTzOX/iXZEXm1g5kZMgBRDWT9bPKzqaq98vup0mE0JiRKmeIQ IhPoC4OSYrsMeB6zOQKkOU2lwm4iKPm42IoUtWeEatHWxoisNJC7I+wd3B3h0j6oQD908W9//hjn kxXm1yt0whHGR7eBgZuKuJ54leBff/sbmM/24LkEDZI4qd/DsST7OWma481kA7vfw2Z6iYrASHqi vf5aBPeU7KgSuJIp3KCf2ce4pY5wMVi9C+B7d3eKs7BYpeskhBdj9eY3UjbujRz0QxPL+sOJNRG3 8XohqNvXv/o7nBwMsNftYH72W7zdFqI4EY1vf15Ez/YPsV2SlKpB7Fbn+l0defo58uf5mUozwJSS KCTjcsTbabInsXe3BU+l+lhaKvHU4gPOACWehuL0q9K+opDQTAMZECgad6tY2ihalmo4ypOLmRs3 KRUu77ow23QkXq2woylCd4i4NGHFibwHZl8MYJr1FCh2BdI8x3rHtD4RYT/RY5cHwUYY9NX6i47Q 9VLArxnfP0GCdQFWcUr/0WDESSUbtu3UT7XltWSRkTkbxBnlkHvwfNXk0uvTZgkE9nrIBNel2eof ur75l/8Cs97i9Kf/3XtTuYdksdmiOD8vEbg8WEqsV5S6dhD8wBhzd1GKabB3+J4XwQ9ZzL4PRodw ShLNtbJiL56kaDa0bzGjen0VQ8WpaIVQaEyFeBiuFszwqcKQI+ewZWcJQp6Ab9HSK5jlDqWFwoBF F3MGbpPa8hYlkdnU7wg2TzMuve/Ss+RBC6Xe0QJum60xX0xECTfw+rDirMAuTsX6KCe69N7FZ+y7 WNAqmH+jFnQNpzsSguz9xVPZrAr88rPH6PZ8rDYXYjlOfz1RgcwJcaAGuwevP0JuEO+zk/4McV58 w4vJlbL2hbIRy01iwFLN9Pw7MyGRt2gmkaJ2wOYvTwSxQ1KuGb9n9PzPKT6CpJoJgfZBRYhmLScX 8Ksl6qTE/sDF5WQJf3gipZYTGEL6ZqB9/JOf3aTJvBl3G7Gq7ePcEH7b7IFgXKED56zPA3jREZLt HN1qApuiaoJUvpWabflXtdEB+eWhrcaVWpZxA+nEsKWliHV8nqlW+U0p0QwBOEIWJdDGT45ie8Ln 4xRIH/C25GTAH/Z7Mu2Jk0TwMdRE53ElhqVCG+LwxkTfd9EfjhSnRe3yhoaRlzoJZS+Mv59YPsnm pOzV11JpnNbKS0s/8gdFb6uRJSGliMh12/SEYsSgJf0cRxUopK/H3otB2k+OrGJg/8N7RVwnzz/D Zn75oF7/avIKrt8MIMRMN5KWxX5fZX83G/aNapiqfvgHm1WMDk/+YGOXdrFvGHgGesEQCWVG0RFC NmOXzDdvek/kcJEy5KAgJzilvI8qMrClIVpdnFw3bIK6k2KxWQn0ZDTirmBqnQuZnN8nBruu21jU Q7iBaUpJdaqMKpuD7ycMe1IZqGItkGZbxPyTbMVAlrAKa7KtMV3XOKC+tenCf0+DwkAW3joom0Hz 4R5YNKt4+8238HsjJPlK1Dappx0EFMwzMb1eoRsGMAgKtTzRKRJ4w24lzeZHn3wmb5Y3XMbW0ojb wVg1JgSNUUbrXdZOxMZHKunMBp7qpFGKYybZEcf5LIvscoc4WyKpLBHrW6+mWInsSCCYrQ9to8H+ MVziR6pCsEPjXiDSMncXgah8YIVfSRTynVLw5roxc2hIwbzJHN3SKJYpcbxg/0apM8SuJVksDHoO riuTnoEJ3ESdY1R3ndlMhHS6QtgLRW0ANW2f3JvJH0thBnxOeJSnx+CS3EzemPmITG2jp83yUDJX cU1SfSsGDOF/0bmnrDEcqosJA0RxeYnVmiYG5EWGwh3zXXX61tJVAYCCmm9tyJrgzVO0zZaVyM6v 8UHRXpyIuzDwC8BUJ046qdRyVfaGoPG1rycHFXWXWiBJgwsiEb5Kp6g89js/DKD8vsX+o+s/bKpC CMvs6lt0QMG7DjrBkQjVbWIOORLxeaw7NN1o6Ex/4Hv4kJXeD1m0qnOtnWCXe4MelnNCCK5gBaTJ aCalhzqz1VbpgYeNovbZ7xSJamLghBam90N6oY6Ji6uv9LCOeje8QO4V7iEGOs9nr1mBjrxf7Ilt t2tEvb4ayMphriq60txvgMB8X8S2ye8sTA+9PfUh/LErq0z09o9h9E8wXU6RpC7M3RJX8xz90Efo 9qTv8sXbFfy+L4RoyskE4RhuNLihd3CTul4otj7sL61nE9nY7MNsV4tGMVQDE7MIJcpqj4MZCkUF iWQ+fvRELZ+46Ys10sUZig5doTU9ppuN4Z185ybixG+XUgV0hcDrwHkA8aySK9S1yhD2VM20XWww EnLBU4vNdqpNUPzPbPqGPJX94fHNzxCQV1pHWJRA2QlghvtwjUOk6Stsrq5h2H3MF6o0gNKE4T1C aXu4/ub/wemTPSmxpOkpzja3cixCpxEFCJXq4Ne1tCYHT6VWuNQEQCU9JDvjZIfWXsK3C8U4lBtN pGT4/QRQutSB14NO+X6aIbfGAy0PUQXeGNDUFEJlqhWIKU4pZaIlf1O+iqmCq4DEu+44onRJNLQY 2baKo0rMls/c9P6YFQg06g+NEh+x/MFjjOwBQSyoCxp1cHJL8PNz7Cb/KDCdAoE4O9l/YHbVkv69 j3Tl+dCiMu8mjeFEliDgg26AuBzAZHAwbw1MRbxAsiearnYQdmqs1jvYIbmzqmohyP5WflmEM5lg FFiur0UzTXmJDFB6+BE8q3tNsVs8MLlXqWZCp5+8yqRFQdQAdbmoOmK4BKBWWAQToacJCPlHXYF3 r6pA+MkdvH71O3RcXyyG6JOWpAW6kY1uOJA0skwuEQ5i2WRsoLuENNBcMUtx+fpLIRJzwyaTV7Dz NTrRIwS9oXD/fM9F/44BatQADeVB4ynRcWBViXj1tZmF4HiMHgqvQC8aKgcqGiBeTL77IzVIazca I83oghKIccX736fEY9F+ujfp5EVmQGANr0JnmgfwxgnZuykl2iUZBBld0rSx0fEClOstNltK1/wc bjBEsPlXuYbd0VDVLOUE70hanaZqB85RM691SzxmqSWOPkI2Ve0qXi/pRXRUskVs7JsJ4Ww2ETQ7 /50TYvEXFES5yr10bAuucMaazd0I57VONq19/N0hh9WoP4jWPFH5BDm0DfRGaiSrLezqHslKCAgt ra8k01L5k1rUMCjZ3KLN29+vHEvN6ByhK5nIxTCBVPc/YsRqeqe6D5hZl7BF3ryD+ZLXZI7uaPCe btrHLE6bWTozgHA48mNXHq9RE1ZQNWq5HZLH+4xkSLINSlP10oSmI60FTpo9hdA0lDm597y+ZCDw fjffrzLcVJUtsdlx8NZtPHpoMqL9VcHXUXFEdOdJ4s6lfSD9R0r0k67DEnSzkv3FYEU1DYHLNJN3 6+L1V6g6fKEWNavOI/3x4Q31YPLmlfQO+PAVWSqo05NPfv5O85srXi0QRh0MByS4Wjjs8iTWZrkg cKj/3OngZy9O8XpRITQ6gvzlZI1LLmCvh3Szkvfghl1E3hC5ty/RXGy07oEA27qe0ZxgOJaX69lF 4/ijN5kIZuphccxOmytmMex/OAe3gNT7SyzYp99iPzSwocvxeotFcYDB0fvKE2yEstfVqVMkVK7s 3lqBtcakYgi5WQrsokWnt4KBH9xgWSqNeYqxjR//peC1imwraX1FpYjoCdxwD3mykdOXwFNK5paV KS6+7EGozrf2gCzPQrzdSfZF517SfpSo2qh3WgQV7sTE8uL8DO7eM5l2+V1XSj7Rs8q1GcuJnPY7 GhVU6XlwqriBLz0z7eUpgl7NBcryFiPWjrENOVRqydD4QCTlELkRojBCJAZtxA4QGlP0MRU8Hb0O VxvKlwQ4PnQbgClL2cbAoPFrvLqcYhcb6B49laHFH3tJTzCNRVJa1DOIDu+eIKFO2ahCx7WEVP9D f6dk4DSauPesffSqa0zOX6HKFjjodYTV8c4S1RFXHv9tykONh2mGzXYtU2BV5qjh29o6aE0tBBVA Qb2y2cNi7uqLMsh2N1cFjg65mcQC0jHdk3tFqW0ClAmdkkBG0napGTn3mGTPBi3AKuzyOdbLpcCS uJcpYGn993/6TMorNruUkQ+cX86wrXh6ufLL/+ane00JdusF90+//TW6T39x2+RGjWHXwvPjofLK hK9G3h+90zjp4Ri9wtVigy++PoM7OMDu26/QP3ik8iUNKNDzI1y9/j32n/8JgsExCpmUAWWaSuS9 r/cuAnDJBuvrV4j8Al7HQ7n3DK9fvsKnvxjLxuEpJWPTO4J/rebUdy32z15PCJvoY38QYFKq042W J7dTJ5oREDTLDOauOai8DMX11iuZmJx+8lP5u4gFfmAD6ogXAoIlLGF0cNs/5Jqdv8bxAVVYbWxL xTLlZQnbsxAGFtabqUz1pMdjdAU/w/JLMhpRGrVhZ9oTal+vzVAIGbg8f4v5fCZmG75TioKFQ9v7 tEbpOggZ5ESjWyePCo+g7ryOmKKod2NO0LqmsPHOAYjIHzdkaAY3Xkl+r+iuM0MySwzqc1Vm3ZVY uZ/AcHysjRGyyoaz/RK7rIvu8eeNNMwXMonm4ITTLpkm1hVevo4xfPy3og320JLJ1WYiGZvfJ0vj Dw8GwuKYnWO53mF8/PjmvvI+D/aOsFh/gW2ciq6UZOg/YImefYNRylLi2n7YmDHZXOPst/8bev1I YAUl2x8mn2W9V/z8Xkc5p17kIC99pAklbfhMJeiEoTpOF3Rrshpjj67yC00qm6qwXturVDgNqVcZ dslSPACoystApdNtglKp7ppJxkm4gxyWEgP1/TDRoY4d+1rLC8qKWyLhzTjD4ZyEx7I28HaWit64 pHAe07SHQZyaiBn48z95jpdvX8PonyrHnuWao1QJOtvyoc7yCsv1VjZUbYf49uwKeW1LeTcYUFLE ESNKcYQVCZslrs9eCjdRPOvujKKZ2W1JhBR5E2KRVOKED/Z6tUCnO0RuuojsGAmpCI+eSvCgPtND yPTvW7yIheEAvcfA3mMs1nOM90ZItzNVBeiOtW6vKsFd9Ud7NyKCYjEmHon6/nnxxc36hhCq7//+ 4kag9jszWyqvPhRQu31OXlZC6HWirmSd8+trhOKgTTxSqC7e1FtvJoPMVrnZGGjY5CQkQbTgOS0U X0Qbl+dnuLo8l43k9saipU3nH4IwGZy4WWTi2oAAZUrK6SRF4Bo1iBZ42PoXimWXiMm1dB/tLbXG mi3Y1a5UJZVDE3UQYlZcoIfXktn6kS9lYmzswd87EkS6XMfOz7Dc0Rdzg2GUwqgLJLkHp0fj3Qrm PTiDXPNig3j5LQI7QWm9a0f/ocUMneUMhwvvfD1eIlu9hhUd4tHh0xuj23Z986+/QmRxesp+0H3p pu9ePNR4vbl3t7NXMogaP/6TH9R8T6mSYZBp0uy3mr3NHVDHyDLlia63W+n1MTviH2aH6wUhGT2B 8pD6pbpXhdxn7f2qnZpKYfPgatRxG+00XvNdMoe1djHs76Hf76vlmNwEdYBipSP8RAJX+btZTjaT Rz6rWbbDYnEtgxMCwiUwsiHPF47LDkpviG3VnEhseDW/n5d4wckwm53xVgTHopCW3oBvG9jMX6MK 9gTsdz3dYBAFGPVc6TGcX81wdrVk5xrdgx5Mvw+HEhNGAc82EFNNM11guZwIWXp2dobR6U/UReUe bkaE33p9aT4Kmry5kLxQvmNjF9OZ1kGWW+iHfdFQZ4OeQWAwPrjRk/rYsbJIv7Js9EPJEsch4GOO DiEOThe7eCs0E9lUridGF13DkBKOTj6jw2Pto4jWvE43Cc9QaAInT++ftpzicaOKA9AH3qfXPcLi aona9OFkBOAl4mZdbxaoKjWlZN+BAYoBhdeNuJndhn6KXUFJWFYXZaWTNU7Z+Blms5nYV3lRJCBD 19GJkOXbCJjP0QQ1SbSXQJ+4JpsUB+jGAUU2a2NbTlMJ4u2YCbXGCsIBbaY/LTGbp65Sa9Q8lWXC Zp0gNY7hDT7B8uJrlNsZTDNGVZpAcOe6mB7s6ASVMcN6+1qoUB1viNnZvyAaP0M0PFJOmudLUMu3 V+haZwg6JGv3UNOX8gPXWcC8y4WoNnTKrTSdH332l+/er2SFyt5DFL1/uPC+Hx6PsLl6hSJbwPPo 88hm9PeXp5pRqYs3gbcOZogGBeZXX2J4/NP3AuOHVn//CYry3yOb/GfxJgj8PibXU6QpAcOhmMe+ ffNG7sejR6d4/PixYNqyxMZms4csi+WZYcbOUs909TCU1eC1BH6UJpJtadnPzF7d3Kk8kibk1/rK pGgkcCziABvCv1p8sepgi4R7Tku51WIBEzYODg+EliP4OmIqGXh4M2Zzxejw7xzLt+qf/Ptl4igO IynRcRhhCTFQysvb6xX2nnaF3MjxewrqguumHfUCxEmGi8kKvXiCer3EUd8RN5zVNsbx0INVbVCl Swz9Li5Kpo7aE7q/+LX9kydy2rEBaVtENBew6wyv6aw72kfCwDI8hCeW7KqSOjo4Rk6qBN1QiANh XR68Dzu4vwQ93VXLd2ZMq80SZbeLwiZkwxSVVwYEvi/eOL4WUffcTNTuybdzmA5T6vgmu2qdXtho 5s++95o8PDZzAE8/+L6ofNE9pC1ZqRZXgoHKBL7RqKPJBhIGgWXh/O0b1GYAv/sEZrAv2RsVKi4u 32A87iH0uGFIcTFFUZPIf7tDezDakmvAUwdnHTG3BhgaeJWATPS8DB4oaSwZcIXp9QLxliqRLro9 OlPzdZih5QjphML3azIQeopul7aBCrpRm8uRLDrF+OQF4vVISlnfeyBLZj/N7sDwbFTkgAYxomcB pqs1sqSP3XqG/iCAWa5gl1PkVYI0M2H2juF33+d1tosHDPue7Dyx1bDIY2kt3LWmc6P9GwL03bVe XGEz/QI9v0AUeciyLXqdGDnbLB8RsNQNiv0jC3X8FrZdwKKiZ8I+Hic33/fzxB7GKNIVFlev0Hcs HB09Rb+7j/FQNcpeXa1wMPDx6ORYAgcJxgw0PIAupnPk3SeIU16zWHqnmzhG11JCP7Ms3nfRnW/6 tMJmaaRjHM9tiPsx1tuF9DT1XilcRfZRK7AoQx61/1LFY0W9c0/5Th+D6ACxtRHVVGrVW7zWfcKi BoomZvRNwebobfrLSL+8fI3I2IqvH+th1oanx2PEWYnt5Ay9yMNoNJCmI7CSnwsDFy+eHkv5tJ1f 4WTo4/j4AAtaFZUlej6nDSHCMMS3F3MEo2OhvXCU6kW3jet2KSdPM5PNag4PKQaRiV/NZ/BG+3C8 4B3htTboEgNle6oXL/K9H5Ga8wa0+u8c+SeETFh0l3HQhlPenMXlOQbjQ7XwYvq+WgqEojcMUfhj CWjfxz27eU1SW5YXEpS/C9HcivnbDnW5tuqME5ASNJE+GgGhbFCyub5aZ3j6i/8Jjk9lCwXP7uIc wfAFjLCP6/kbpKtvYflHCLsBPGuDXo8a3P6NmYTKZLPHqZpPzFWFoHyDX1PYgjTXSzVJjSIfAdU1 S2aOOaKoL9lcGGhpSFdmqj7QKv7Nt69x+uRAEetyENQIjTXM4hVQ+HD9I3Sa4cEDF00dcMoE/Z4+ OAxg8w0hFSV63hZuNUfHyJHUO/HyYxYe9d4PNHcXWQl7x8p9K9MNRo/i98qxVgr7/lpc/Cuy9Rc4 fPECm0wtwzomDVVaSZj7r3v7NV7H2dWZHM7xZgFjN0Po0czDQ/fwtkf2XavINthOfo3t4gzJaoVo zCynK5M6PkNvr2bYoo9VWuGoR+9At5nyV7i4mqGMToR+V5YR0oWJTnaBPJ4hJyK9ZnVDRxwKS6rM EktFotfFqIbgWR5oNQn67GGWSNindBSTxf5la+1Wy8FXoyTGyiCZW4UgdXLcQZak2K13Qqr27QBV p9QeVhS48D0Hq7hExjFwsYOZZpgscowOT1FmW/iIRe+GDzw35LdvL/Dzz1/gk1OO/ClYXyEiFafm GJJvjiqZlnpCJyt5CPeeHuLiagIjOkJnd9UYcnL8u8Eso2bWqeCUWE40bYoPLgGYVibmVRdPPv8l 5uslhr0RvDsONm1wI6aDf+TrruJBfsjiQ/AQwp6bmdxAlhskVHMCyJtJetJ0k6PbmSM1ffEL/NiV xTuZOO6fPv/u90SVUBFr8wTEZxYLnJ+9EWcgYt2S7RbzxRxVZwRq8PJkW1y9ljQ/iAYIent6qjkR 8uFjZLsLOMWlyMNQtE+8Eps+k0I22PPiICKRx0vgEuxLNZgpIchudzIp43I93bhtOchyV3lmqjFV E6jqKCL95HRPsqwWiZ8mbOJ3YOY7pPkCb6e/R8d5hINHLx4kyBt2iCzpIc93qKjnZO6je3Csk8jK Qrw5Fz6mYIcILraJxP5uKzoBzLb32Y0Quh+PlnftAnuPHikXbr1Cj03jMke+egmvfwjLDDC5/Bp2 zeBfwI9cwOohNbtiTMIDjg/3ZrmEkyfoBh1cLV0MT9TP4PsWg0CeLGCbKUxQLmZPGQe1gS+//Bpr c4BBv0LYIZ5PZWJ4jyfzNTL/AJ7Hva5wG390gjolJWbTVAeEwRhSJqqzjbZFdjt6EmbYbncYj0eS gfmRBbdnYZut4Dp7N6BQUW0gob3J6DjxZaCS3nRjFMIerOd5Uq24dB+i2m7RaH6oLg2wLmxsDBeR M8VBZOFX//ArbJYrBI6Bv3ihRppFFqPbDRH2x3h9ucKz4wEo/qnoY/aUmOYRQe1guU0Rk1e0f4qr dY3Xby4Q2yMEmw0COu4m7GMk2FpDjB+TVGuisGyhrHzfovyLtDENA37XwSItsJxO4Y40q5EHrQVK 3lkfW/9/zBLKjdgX8TSI5XXZZ2N2wsmXyNT8kOBY1zj89C+xd/LhkvDuElCmAEB9XH81begwlACh gw6zrghuucPk5X+UA6PXNWF6x/CCJzfXgVnXbrMULXBYqhiZ2rH06HgKEvrAz9j2J1SVg5uHTjo0 U11Lo1ZcewgxaEoDq8yEO8rgaTcnMIMG4THsQ6oZawVLPA9dQf6rphZbCixtTWR5rE3+ai5KpLu3 5yjtU/SPXrxDU6G0sdl7juvFhQj1kTamYMYCu9zHYkJ8T4H+0IXruXCtAFl8jhV7sv3jd2zffuxi +yBPd7C6LuZTdVTig8eqYX/cgWMm2GRnOD40kMZqgLFbl+hTJy4ltum5jPfTxRuMbIoPHIg/YP+A 0/GP20teOELv5G9x9fLvBdvENknoD7DZ7kTO+1lAGeyN8P9IUGbGQ1bK1ohguBqs2iUyOn4P4dFf oc5eoaxXCslpyrftJpFseu+oi/J8ivHBSL6+Wq2lSuKEkUFttppj1O/DYxaVkS4WoCBWsBGr3G1J aqcMjYHAj8RwgoGR4FKRa865b1IlP9+uW97aYrPF8bNPMTx+ing1w2+/eo1PHo0FfyNAv3SL0h/L m+dJ2vat+DsIPCSMf9TrYbWaIinW2BsEeH22gd8vBCMzGI7w5cU1wk6Kfn+HKi1gUla48WB4cDPs 1si2BJXZWK9WGBycyHj17OwtqmgIj3yHrG0RAAAgAElEQVQ9IpwbU4L7ROg/2qprLKfX0mgXbFGj TvFDM7nd4hJhd/hRRF3th7H8oqWWgV3pY/+z/wWr6QxulCMCkflUhsxENC/LXZSdIwxOfikAzrvv nc40i+sJJqaL4cBDyYZlacK06Nmo6XmRlXJPea+pc8UeiRraKr6u9RNsnZWFPiV9u8bAlY1YAb2r OSozUaFdNBpeMq2kWaurMkVFbWK2sXAw9tHthViudsiNEaLR6YOcOu6J3r7i6qSUbQDF/b2niEaP Ua6/RJ3MkWUWkmqEtKZi7IFkNALKEUIwTTsaRREZHjg/mDSdxhvp0Z2/fSVZY7erI/k438Kvu1jl U8xXlzcOQa2D93RyIa2Lfq/Gkg/+uIuwH8rwZJf3YVPy4gcsatA//+X/jGxxga4fY8F7nDrojUKM AlOt2CwLuzUPHAeTuEbm2HAf8i/gQ9lhnxTolBxWrBvJmR1Id726WCMIhphNtrg+KxFGrgwczr+d oazmeP7pCRx3i13iwm8oX9SW4XXhXtglGwncnHCLW7erOv0EK4sXgOOK0gNhTXIVml5t4xVGHj0V JW0Mo1qMRd/+7v+FUWUyJXzx5FB6HI5jwXdYw2od3z6ejJZn8wR9t4bnpmqfFCfI/A6OBi7WtaGM 7o6LTnGFn/7kOaKAjd0S//Qvv8bg079G/wFRPS5Kh1h1BiObIrUMXJ+9koeqMzqFU+aI+IB1OlhM ryS7YLZz56rf6Je3vYtWweF+FvZDF1NnBiueElQPmF+dyYY4fvrpDyKser3xB51Z5CM0muU8oVh6 sWxrRQyJmRuOnsAsMkHIW/ZjlOkc6GwQOClqs4bpkoZ0b0MaBvYfPROZIGKKtpsrbJI5pmsDT/ol 0niOqBuoV57tSMbDbFIR8gxqnCgyQ9rIJmAWzged0yAebiwhdVqqbjZlSoE/qk8SaMrGLCWlVaeL 2VkrlUMlXJLmv/ziErbnItr7FP3B6fs9nMY9KEuSG3I7IQA8ZNm8pxvRcrZAxewtOkLv8bP37neZ LoHtb3F59ha2fwBLMGQlOsEjeOEYtkeIzcdl5vSVND0bO2antoPD40cix0IZAQIhVQonaCgqyjjg AS+0tN0Wm/VSsi02mTlRpOk4p6GisFE0E9ZGfcOW62Z9J1L+6u2XSA6foOP24bkOnA6fWUOIyWqO bON6vkFi0FHofYVdLoJfCd/o79swixqdbIgUc/k9B8csYXmoJXj24hCrxQbTyRyLlYX940CybMPM 1a+SE/YqgsP3nDGR5mFHNoJClZj8cKjBACrXSKhdShETm0Fm4/f3r1rAG9hsajzb7+N6sYH1yVP0 XHb4qU+ttf3j02OcXc5uAKVcyukz4VRbzDcm3DTHsKbIlyeUmjLZ4uz3X8ELI4z8HpyjARyLov0F ZusEdjS4ddB5YIk4XcdBFZzCNkjtWcA9fIY8zWHu5rBcarcnGOwdvNPoVt3tDXbLa2lecsppuyr7 KiqLvnKkfszi64lbEIC9kyeCzXrwMxCxL2A8TnK2EnB4C6xOjWT2LcpoD9HofaHEqsmmeL35X75f Suvwd2zXU6Er8aHqHXwqmVq6PkOn5mSUgZmQgQJIz1FtchT2EA4J6ULZUd3OZD1Dun4Lv3+AbvcZ LD9DWadAOgEMjtiVZ8ayr+VtquEmBxmpZAKkXFACUHwfSxtpwY2mKOYi40RRcVjsRYhEzS6TA4aH nFiaE5PH60OEN12D3S3QNVHbfXW0vhesiNtTOZ1CRfOEYBvKfT365HMB8zp+gP3u0XfeO6WgdHF8 vIerSYK0DNAPMxS7LxAnATL/CG7vqZSe37f04dPsjhmCqJc2B6NwThvHcn7e9vuNkpJLOzXUaPSg 6CiEysM2K5GSp5imahQsygabhriuJPOH9liRUqmjwP6Lv7wRJTTY32PgKHVSmBcZEhqBCFXq4cm5 PCtYYHxAHmhJHw1UnQydkrAIyne3UlDqdxgSHCuyRwQnaxoj3gDMXn1KHZGUQ+Q+BxFUhCXEgXJK tgzGmGjweeD1WcyncoAT5c5hiQx9GNnUweJ2beMCyxUNAWrVf4qYAakRgowc6xrX06VYZW93KcJG 6Kfl9B0e7AmcoSbdQtx7S7k4+3sDtUJyOhj2KTcRYZsWmGcOphmJpMPmArC+392R4+BDvkUZr8SW K4gCTC6+AAbHotLZybYyltWp4PunRJaSjrKUsoHYqfa9ymm8mqFKN6h7IwliD02OuKEX1xdyMSnn LP06lp5iefRwyTDc//BDwhDBLICbgcBWfs7Ad6R3N+yfPPwzTQnhh71b7pqQxdfSUA17SrmQVHp4 pJZg21cIQnUYynITWb0nzi3Ep3WcUMbfPjaI41ScXNLtHF7/BB13hG6+QLFbodN7htXmG1j1XPqN BPr5vtqOr5YrMfkoyL/q8LQnDAJYLmbIc0Ir+GC4ctB17FqyBkJMiooWUoBZWJKd5UUpdnc52agd PY15MDJweU6NXfItllcJbG/4TtOdjVoCimmuy6HH/fUQ1u2hZftDzM4v0fMsdPwh3OgAJhaIjJlo la9XX2FdeBgdvcuyePg+EVagdl9ZruUeN7UYlzQyPCZJthz70wrN0eypjlUQsU87Mj+C5w6wiStk Vg9hb0/11HzdnzR7ae8/p9JtJcFAuZ5fS/DmkKQ3Vs8C9u+qjDxCD4vKE+cba7uCXSWY5JHwau/j E5PdGgUt0KoYoyARowkGQGm82+R+FjAzB3VhsnsuGSRVHkjKD7vE6NWYs9JhrypX8rqS2HkQqosQ Ha4orsngpFQxR74ulvTiop0rcJmYNENJ9dZlHsIs9KTkxjOMBINegK5H1GqFJN/h61fXkkKOu5Sd yDVwdmJUaYXCYbDzbvoXOgqv5AHUpdGXmjbUdj86YJOeH4iibSW+/OoVDo6O8JNDYmz4QOiUSW9I 47pCgCnrbqPC5XqCnPggx4fVH8OifOp6J1rtDy1+SDY/Oe4f7h29E2Ckz1TssKINl8fU1pVAyaDE DbacXsn3EHgqFmONJ2JCd2Oy58OufL01QeBS/FciJRJPQZ2u1TcQC9WYUszU+PgJri9ei0MIj6dw /5k0jR9ayj/MJdhwGtn+LnH8aSRd2sWNSweawKtxfbVEb3SCzTpFdHggG8HrxCjjpYAByUvsRhWq wEHc3ccq22B1nWF59gUuyTroP8Ho6Biu/wSWa8hnzthzmL3B5GKLp08piU0JEpZQdLdxAXMgpWO8 pY08p4Ud6YV5HK07ljSiOWXiA5vmpUg4j8eHqmeVEuNGXSwbNiWPCC71u8i3FRI+ZM4t8Z1qHrxf KmHy/vSwVfH4XhXbLEG6uUBlGxgePofl9pCn5GTuS7M8Ckrk1ccJ53m+gyw2kG7pS6j9Gg4qhLoi bATFGzFQKRA3Fcxb67rOZ6MbUTAgxjrpwOuOPtiLNWRS7OHy1VdwaZzBHo/tIBqMpe3S7gmeddtt LOh+tmqm50s8OhjKAGK+pMvNu9enLrbwcIXaWMG0WPEQ7tSoAQuNL0eabyXbMso+6sxAYVD2Sd2b NGgrKFT8MEtmjH6jB1eK8zODQqdSZ25CrzgvpcSSy33iqoS45/L+N4awBACzJExadHsTIIpkDcsl vmnYGErWYuVOVdDNZidN7dGgi6H8uzbg4yTFcrnGoM/elkodUyr35Tff4uTkSJDxJdUqLUpQJJgt Vvj61QVOjk+wf7CPQegg4IW5GQAov0nE2uoSdl3AY4pcxkgv3yApUpTU52FGZwfwevuSrdzNrrhZ 337zFSrSZdIdIkOtoO7fcP6sE6iCg45UdcTLjcQsiRAOfh4GCQap1uFHdbnYO4lVWDDqiYwtrwf/ vzdonE3ETehCMiFCIASty57PeiGO1ftHxNaIknrzcD2csbUGAczCLn/zj5JR7D968g42iKff/PK1 ZLcBpUCoP2+UmM9y7D/7cwGdymtUS/hYwrP4/zSUsHE5z7HObex2a/QHfWEP2PSjDEuMHJZbWyxX G1SDoYBwGXg+eXGCqOdJTyUviFKnWoQCatlMFet4HlbxFsNA/QF4LclH40PMng1PYvZ4ttsFuj0G OpaxnlAyxHeROvnS4O9gc/07FOuvYfoH6I2fNtfSwfXbV0KiJ3ev1WfaTL4Ue69o+HDGendVxQ5u /ynqiA+6Zq+Ww+yM5Q1ZsOwQftxi2bvYsZFtidN0K9io94l9qp2QsXlo9fpD7DZrySQZ0BjcifMj 8DlHCvXWJaf3w+0K23ExPnmsngn9oRrr3iudGQyHXR/G9hydwsbj/S66rFIWS+xyF+/OSGvM3/4W p8c2CCtndiRy2CxBBQx6KxBJDq/pGrCrPaBykGabRjaI0z6tQvgIcEDmjF3RtOJyKJvUMbDZZmJg y5ghpSHt/KxIXksNXV2sOBTo2OgPxuoo3kaJ3WqGkZvh2TFBXTRr0IqMEfDZk0dy4X//+wmSvMB4 2IdFhQd5yNRDmA/IrqR3GEQedzZfoxuF+E//6e+wf7CH1WqFzz77VJC1Z2ff4pOn+wIstS0FkbUP 5a3FNcVqVJCeUZeyHWHk4fgnn2GKY/r0ygVJl1MMQwtWOHxHEkbklV0fF9/8HidPn2I3e4ldNxSp 37tLhN+ah541NZt+4npCl+urcwky6pGXCGKdJ7r40AWhmogaJgaUuzHoP/g+cvrs5RfyswxirQW8 NEwJwFx9i5EHnJ8tYPSfPCj8d3exFyHKpHzt3fb9AEx2wfGzps+xxez6HHkR4ejZT25waLypNvtZ ZY7LyzWmizW84TPsnXyGvu1ABFIoIeL38fTRgSifCtzAdXF00MV0+QZupxDBRW46BhsGLJXWCeX/ Sasg9khpN4ppahVMdbqUNIRaqknwPhZCuhaDkDtW9uSI0vuQGULK0sMaAZYPN9Cssn1g9x89xXY5 QbKZKQc0vkDHO0DYOHl/37KDEQbBuy5JH2Oj9dDigcaSbH9/1PhLVlIi87BhlcKp9mK+Ep0vlrSi n95olHXcxqGGsA4i/o0tkh2nh0++k9JjtYfWB+YCvH6F2YU5GKCKLxE4hIjm2GY1wnvqDYSaiNwT dIjBqR1pMZzS8f17AQnSCRujKhVVFZhtXiOwjtCpQ3XBaaoX7lNm0Sz3eC+pSMq+XpaTd6y9Krqs Dkb7aiBi6GBMgiOrBsfHwCYGS9V0GcQsY/FSLtanY5oU2NIcuxV7a+geDXE0Chw4eQvPv706dkeN OmfLFSgIaNQWhoMIm80Wp48OESc5RsOBGDNyIwwHQxn3UryrFeJrg1Wrcig3jcdzQ6isiLClbRIc 6CUhyHKDanmBTTXEwI2k1p1eX8LtDjC/fCvZ4F//zd9qxD/khOn7J3aCNL4+l4kJ/RCV0NuIXTfa R5TZ4GSLqTzH+0JHYdl6N9tpwHi84U8//7NmAqtATD5s+yePYS7/FX7vEAdHh5hnqvF093Rshw/v Enh1KPFdwU0mUWEXFUdMfQX7tYFcGsL+GMutA2N4hKdPmuZ7sxhwFq9/hb4Vwzk6koYncUGq/Glh WB9Kb4abSKy/bkxbtUzgNXBcNp3JNAjEKYhZ8mo+lXJHAhdTfykdaJTBYcVAghc3Nw+BKKKBpmrV zydXgEE60B66B6cqLkctrJQ9yahB/LsY7D/C5Owl7OItBo/+DHXnh5Hd/2utZLdqoC0kFOt0dTAa y0OeJfx8KVyP5guUCVZjCVYAQjejZ2VD4cqoqe+7GLspNtUa6PCg/cOCqMo3694v/EPE5RQOTYSN QCldzeJBtVlcwtidoQjY4+SeUR9LHrDKqtBpLwc/nMzyOeDNvl59iX54jDJxUTvZjZ8AcXbqqal4 pTROJCDF2Q6D3h4MumzXKsVNULNWOWwk8Xlg+4l4SlICVYPLev5o/0E+sEjo2lpG6cOXY3/v9hS6 Y8x88/fjA+fWep09mj1lajNwsPGrypzAyfHRDRetzeLa/nrrP9f+7tv3RvlcuspUqDh2luARYffm AoXdkZ4D3+s2SbDBRniAnlljtZphODqUUfmDjHhx9Y1uJ6Sk7tiOPGgsMzR7IGWkUdQ0eW04LUtv xst8gKic2huxNOVUjJLC+t/jpy9urgl7MMzmOJWs+V5jbtYYrhGTz4HYP4Df31dBM1GZpGqoTjHb gC6CbsQ8NVNTyQabXs1dOo/op3eHCp6kLZgE0wYjZ9lSPtxmEU1wFYtwtgAc9ALKwuiN1etCQ1UT nhMhDAbSXRbRvrJCUWfiQMSHlP6TovzaGHK2/oV5vsZ8NpETlqBAThtJUCXbnyoB3JTM2thwZf+L v/vo5DEmV+dSavT7NrzstzAKQ8f/qw28g/8BXnSb1UaDA0zP1/AJ4g3/2wQswk0IduSDycOBFCnR lRM7ZJb1bDKzT2tgMZ8JX1DKKP4w76FNf04lh+e1Bd8okK7ewB6wr/Pjdb14z6frCmbB/Wu9o+C5 nX0Dp7pGT5IXBjIVSaxMTv1UcFG4f6KLRq0urRZ4rxi8cn+NkIOrip9hA8OukZJju1xIshJEzKpU BruodvJvbOso3q0jpXK7t7l/qcmlyial+IsK8f67Plxrad6SX+9CGN4FnOrfWya34rFKJNtMZCzY w5JeV5wgKVX3ZhCp/vjdh6ZRBmusLzSIaYZTIysyLLIaMRv8zaFAvlnpOaiJfdolpM8jGB9h9u2X ePTJT0QgL78TAO8vaazPJhg0Dzub6aLb00xjphdvVWDQIm0ka3wHU9HJYmYgkITm/dN0gsGBQYz0 ImZhLN84WufpKQHP6KihaRajZJ7u9hvUr42DoYOv3nwjHKzuSHFoMunL9XdKI11AnhssKEZocgrm w6xyxDnLiUAa8Hzv8h5IuhbjjRzd8SFW0wvZKIMD1b/n1NXucKRMcTlf1CbIn7PLNQaBZpUtV5D8 Ur53z+ODpxtW/CHTNRyb91anX3lJOg/9DBOZ/rXaYTp8YODK1KZLWPk6eW4Bx/wscljIe9Z7xgHB /iEHBsubfmBLGen1qfV1icqxUVArqymVh4S5lMzD/9ssP9pHzglwFcMhAFaA1RQi1M/M/SPXX4xt Wc2QuqT+j7bhilzwJpmpIklpouOaCF1gF0/gRA/7gv7g5XRxvSvgDe54E1QpQidGhw5GMg2klU7D GZXrznJVoSyUIG812dveqwZl7kN25WtxWZe9kpNEvkWPwpXNQczDns9DmlPmqNe4eivGUOSjCDaO Y3z99TcSI3igdXeJxBIWz++lmm2g4mrjCTtK94PUQ4s3SHhheYE3b85xcLAvpwgXS8TK35MeSCsi pq9xG7Q0KOq/6QQhxzzZYVMHmJsHKE29SJ1yB7+zQvb4L5B1IhjpFii3qFbnwHoCx/1T1LS6akfL Dyz2pGhvL/ba4sVm34zC+ZAxm9ks5jqel5TagOWHGAS3germdzVTKgY+9ri264X8nWNm3zsVTTA6 r9R5jLDDTWyKRjqzilo0gkps5xNcLzIcltQGW6E3GIjFGMfcTqCO0CwFhSqzm6FnJWJYS5UF0+vJ /aF/IgcQRDrzPfN9cLLIAMUxd8sYMOIrob7EmYlg/6k88FLS7hawOaHxosbOi4cMHxwfu5QSKbn0 HYo6R5KuEXo1fC+SPlWRM9NVA9fW5UaCGa3dG8MBXmc6yYScsLK3JRQcStYQ7Er5mfxGDYLXhM17 QlbY8+IVb7ORGq4g142EulERLPt5o5vfkx4SbbHuHij/f63+wRPk3T6yeIbJ5a+wN6bBb6B279yP dC+2KNWTqpgdZaSFb5lL9hpnK933BbDLPJQm+5Vr5Nlb2JklWfyPXQLcvmM5JxVUukVInp85ajTY VUqb1m2V4KWK5tmmttoWPQ5fyGioVW1W3JXkcxH9XsKxAphFAJ/7I9hJRs0sjX/y3Qbz2RS+GK54 CFkeG5qRtzJQrb6aiBU4jhieDEahGoBVFbEPWnfyG8l90jSevmOlCHkpUfluCajuJbofdKonom0N LYXGpQf7++h1dVLCP5Q/NglkLGpcT5Yybbx70Rrx3DtI9BKzrMCFcYqK6GejTYlrOGaBFUYSrLh8 18S+BVzMZ5ht55iev0Fv7wDr2TXC04eJqyIb7DgqDNb0D9rFwEMRQAYA4QlS7VHQB7c1Px8+ZmEH p89u3jNLGv4/QZ3s16wXBrbNRPHy9dcYDSLUnonc6uPieoXXr5bYbGPs7/UxGkbAirraao21WS2F PkKhM/Lt+PuYBdVhF+u6xITSKXuH8KORZGOtgB5/VgIowYs0vSU8pEfna8XLMRDsFguEoyNEg4E0 N5kNcOVZqMHIHsHJZygMHykDeT5Dlq9RpswIQ8FSmSIxYiIrdxIgONFiEGotzQh/uavAKoBJmmPU t5SU1kBXnL+bDXv7h6duI1kiBwLLCWq30yG6FOgMD7T1ZoMiyBVB3eCv2NKgyqnIQP9Ie6wfssQx KBrDovZYcoWqWkn53N4X8ZHk53AIcVBQqeiJ3QBxtcfp022HJGh7H553DJ8KeOYfR+o52W7g5CsE kS8MFlYGbWnue12sN3OBFbHprjJDgTwP7DfSkYpf4+HKIdluR25igAopDBrbFn0M+zVsXwG+MsCS e8N+VY4CKSx7iChSSJQAZ0sNjKePn+DN2UvsHfaxWbOPl5NLSBljpn0Kk2fYmK5SKT3I//PoSkK7 JPZPtupQwxOUWZP2VSAqhoyEDGwqCMeNVmE4vO0j8HvfXl7h6QmVOTtwRwrAVFlbDVZtEGwDIDfq pvJQE2Vt3N10BhKjp30BWTUc5OhZJXqfnOLFk2P8+ncv4T1+Dvf4YfxMS+dgWSgctgfkXGQCdXyq 5W0c4/rta3noBVXe+OixFLx7ircTzxZpzwkWH1KOr4+fPpfrONuleHTwAiFJ0/EW3momKF/GqdHY kMlN1Of0RjOU+4sbujs+QjDYu7led3E5d9f9v3MR6+UGv1Ri633hubLGxN5DXg1QmwN0sYa/+lqg CdT+Tna0UkubCZ+HLFZNdd/poUhnEsS5F/zGNEFKCjba2+more7N3NjcmL2echBltM8JlZSOLEmU p8gJFWVn2r6o6n9TLFAzcde10Q0yxLsL2M7TZoCgvgT8HQyk7/br/viL+LNs8TsMesD0mqwESg/x euhe595brZZqRhuFUjoJDKQphVWqPEen3qGqab7wx80UyzJHlmxRyDBA4Tjt+yRNiI5RvJZ8B5wW 0riC94NyNawmmAEzg+a9ZvYlhwsJ8SQtWyWCeg+2WyG3qcSSKDCUn5cDB2OFyYImFqUgBkx6SBKk Su2rIMbTTw4UKsSeJAcA4mdieTLmrqsCi8UGZ+saZrQvTHfr/Dd48vhER86Rwh3aTEhtzw2EYaD9 DU43Mp54lBmhCqFuRp6ctN0iCfbieo69UV/83AgKa6QLZfPpRVI52bYn1qsuUaLCynxyc4HV+PPu JTewrRwsTR8jkxpLOQbHT3WM/oB+kJoVVIhXVAdNMDy+/d33lxqUEu5gi2wzb8r04o2UG0S+35ed uQs1WE4usd0sMdw/lmyNWKx8dQk7cgV9T4iFlHoOIQG3gYXv7fzrf5Fsav/xJ+9PIJrsQ1gHHC8b pDZQPkSzvs1yJqXDQ2BKfY+8LrcHgCDmNyuYJa2kXKw6fIgMdIwaI3OLzMpRdLgHXWTVDI5pYza7 QpHW6HX7Yl/GyXC/u4eYCGmaRSwXElg4YVRFSXLKTLiEJbi+PKwMXBxOyBSqcfRhsOMpS50ssiNk WkiFTJlUNg5J5GYL+ZsfGHAsTg0nKNIhbP+OAUhjhhG35eGPcH9uKUzfHTjIyFgjvv4nOMYSKxqt BKEovtJsgQ14shJsm3LEGRYLljwshRyBybQGD9yfdEXm9KwyOWVlwP3DVUZEo6xxX75/DfjMR1YG P+zAaeAk7Uekq3NabMQCjFUXDxUizwkvYB+LCHX259ifkkql08Fsei09R2LqdLIM5PUFnNUQpkO0 uvIX+V/GA0OmjMy4E2y2pN9cy2RaDyUedLfMFC7r5duJYiX8DnqBg22coCLvK9vg7Rd/j7/+s5/c YKPajOq2bLvFTIm1E1N94rRG+ma1d6V1JGVSP/+JYoTak4ZNeK6O30NqMI2k5PI1AnMjGl3MxDb1 MZbmIWrW1G1fTYwp1FRU1DZJvkSBFV2pOzlCant9+QUym4RPF6atCoftYsAhJenw8fMPUnGkGfxA sOODRaLwYnKJyfkbEVojMr5dLf2CZWS/62F/GGC6pOSvIQ34/4+292yS5LqyBI+r8PDQKmUpoAog SLbusZnZ2Zk127+9X9fG9sPszrQcNskGgZJZKUOHh6twXzvnumdWFQsgwd71bhjAqswQ7u/dd8UR TnuETuCj1TVYguRkaVSqHppNZU2mx1UTWbpUHO86rjZvw9/brpaY31xqUEA0NqeiPAVPn32lAMkF oAcs7aHPb7LGDKPMdkgWrzGKKoyiEIPyFqk/ReT7GHkt7KIp8uQSeRUjiBw1VnvjHqqDmUw4IeEJ dIsiHYuI5QCDFvE6purQ4K34HcSHY+bIDFWehNRSswmkMFnFAS4buDI1IAfR/O/48032qmGN3bxa o8mTZ2TqPDhrNxcnrMpw441MET6E6vzYJRxfQQcX3idKJpG0naEVDeG1SF5mL4/69FS0YP8uhVMm aFeXGJ1RdYAByLT15S0Q7+5dtFt+u3aHcbFaLnF0fKJKg6V/vFtqPbN05L2hv2c3OFIZ/qdeuj+f 8TSw3tUW41YGr/LrPVIi3q9VomdUsKgytLqBeq38jlyj8XptrQ9OZomb07M1U9uzx0+xuL2ReKRU OaT/7iDFHJ1qAuQhoogDk636o/I+jJjUtJHEJidkVdscs9nRPX6vuXxn+kITlXj9HhUpOqGDo5DG p8A3//Ev9ENN7+rDwFV/ZTXSmRUROLrbJeiIV2gb3jIw/qI10fhvLvAmiDEz06gdFd6vdmgNT1F2 yI96h06HmY2P8JCif1hgk1VISLV65FoAACAASURBVHJuU5CeKaepbnJRVMkKU+9CvoZxMEThBXj/ /hIX//Ar/NVf/xWC0eOHTIXTxT45jaVRcsKOTjfZpNdXQyug+/KHF09PihOyLLQMixnnJydW7VYd rxfIqYvVHSDd3CHeuKgcH73hBK0OF0+F9WKu35FlVrJCNJhp2sdrev5cG4HZAR86x7rNfRf3TLZc gcrT2enj+/6UPmcSq9lPAKAI2Z/ZoGzm312+VkkSBQtMu6nKOnIA42yBXmeHljvANivVw9gXG7Rb DPx0CbZRPLMDSn7s9iv0atUISSjX/oCcjsoaTv6EDgKfzinsL3EjEMZAEGGq32l6f8y2NEqv6pKD 2lKeTWm5Mdigt3LRjkudwmwlCFmdwKH+UgOSrS8Ggvm7dwANRDukWf24GJ+MFtI1qvQSVZVgM79W 6RpWHuJtG63+KaoDBS0TFCUNfodItgu0gxTd0QCeP1Hw4sZngCJeT56PtfAhg2eSkJqUYtAfmeaY Ewq+wf4lwbjMHrOCwE5i4f44WtBPvXj0hU6KwLEWDu9pVuyRFVauhx1Oem1fNJNABlF+PjlA1z1T tXbkW2hTRR7qpKax58VDZ72cC0iclrwfdF2a6CBjj1YHc4sULZqIOJaRS0d+j5W/rA0oKENjsChz zSlyrFcbuGfPkBQ7LDiW55g4d+HH13K4YXlNZdB2QN1sA/0xI7ralCiTLR61QslX8NRsrqZ5KuNQ WkxRo7qu5u6zJTbqDznidWwBy/GwSSr0soPwQB0WrfEtpp0e5vkOd2kFvzu4P0kpRZGv3yMLMrjt U+y9PvaOJ37ieNjFZBBhUwvg23elkuMc6fZOxEuelmqK9kfYL66ECu7PzpTKfnrRTr3BVLDpSJnm DzW+mwfLP+PDnV9dYM+TNIjEi2NQkWcdM9TKUe9QRq1hqI1LeRcGLCk51o3izwFEjQJDZr8vu/sG qd9cnPhRMubjD29wBLtnAYp0j3a5QbW6AToVuken6EYDZTvMpKh9vluYiedmv7IBBYMJAbxqioY2 8clzLU72uBqEOvE26r3VoFsGuYY8z+fP93crM17lGJ/3g68nq6fapdqMKrjJDRpA5DXLAx0s/N0a g2ZGBmZwkScvkZQxxqc/+yhIM4BOj85Q7F5jN3+N1vkvf3QjVyyD9i/hO5TMOWAwpAIFwZNdeG6O ALdoRVRLCBS0Ud6iS6nh1ikyf4gUHXScFULikFL6+1kAVQ+O3gdUW/BaeHT+4h58G0U93Xd+J03I CfYtuFa4EP//61857Cu2OAWnk3cmHXbubN77xs3KoCyGl9R6Ja2q5nA2dDKWiw2OssFm2b1ndtdT 8KJ7M9eL5zLLHIiqQwR8uzXUQfT65YVeazodi4r17u0d1qvXOH00w9Nnj5So+EqpszUcz8BbnERQ KbDkdOBQYPPun9Hv97GKC9xuS4wjTg1tAjW/oyZOhKjbVaDihOGeXlPfY5PP/QCjpQYrJVX30tVq vhTLyKygzdUl4uUtkt4xVqscy7wFL9/jeNxDNPCwefsOyz2lX2m/FGMyO0Y7vcXNLkCrkyF0r5Ee gNFwgJ/9zZ9hvdkhuYmxu3uv0Tzfm9fp0Qh54WFfmiHobr1QNkAKzQ9dZLXLjmxLXJCnLGtz9x7P jiOsExdle6KeGPsFQqPLJJbW3oXUGZgxKU4TFLe4wujoiZljRDyBp8hLB61PrKk+d2mBdwnus8xE CPk/1J+p5YybLI3WY1H7GyTLV4g6XKSZTAe4uUJKDh9ipefieNH5uUNgLlHtiUo9ficCQIl01sFE Z6CEJ6+NuaXNrV6ZAVCZAcn92CXOhoGTTVmSZQ2vZZSMmn5BTRzCL4R8NuUGfn4SpgWZkEMPA6Jt KknMcNpWJljf/BpB50iZ7EfPLurDdb/E4u1v4NFod0ynm8/fM0rxuN5eXEq5YlcOvKqjSVeJAk7l SnCOKq3D0RFaEf0gN9juUpS9LjIOcdwpjr1c0+tmeEI3IJLQ6V7T71r55QvBHQBeBackVpHAU04/ XXidM/jtyU9uuMfrW2T7O/TGT39Qd54X8YCL5Rqz864O0n28RLwnReaBqdH4SrKkJTSDkBEKL5rM kEkLmWGGQZkkByOVWZtq888ph8OSX/r4pNNlG8TJGh1/gj0n0VmBKGpjcHSO/aEFtxtg7KXo9jiR DlUFGI6RlsJcy+0hBqcjsfc/enCuJ9lkisgnuz2+/dffIfIKyST/l//8v+Cf/vlXePzkCb59/RbP nj7C0dFMp/90bMRp8yqroRBGOtSi3WQO5mlLLjz9yMd6l2B1s8S/vvx/8MXPfonQOeDq8gavSweT pz9H5NqkKWq3cTLswskqsdhX13scuXfIJ4+wXO4R+A56zh75co7FegnnxVONvr88cRC0Pby5eAcE IyxvbxA9eYxW64C2Q+H7A7xkgeOwwiH6cbNKnjZy5PXMkZcb9/bqCtd3KwzOf47ucIxOfbqQrsNe l6AFtXG3XHg2C5HJddUlDXFT1HfihpWe1I9c5gbc14KyrO2PG9s37H2h8SnuR4Dl6BGS7T9iRT0s Tk1z01mqyh2ynIx5D5PpoDZNteyM7s7ttoOUi5ZI/JCNddN7Z0lg9CEzNWiCJOVBuHjl6kOrNpYA GrjUxO6AigYlR8OWMTGTpxFsxqYzG/7mIt0YHbBk5HR6OOIhwvqQJ7uDx49GyOJfYRGfYHT64qOg RPmg48c/x4bGp7fv0BvRPOT3IaZmW8a+Ww0RKbugRSUndsw8mPEl6Q5xukWQBBLHc5wMAR2gNluU 0XOU0QngrJHkGyuTnQDL1RqbZYoXX5/qXtzcvUJwMAfkqA7+wgQWHnKHWLaO2iI/9QqIi6Nag/TJ Pn9tFrfoORsgoRUes1zKaudmB8/Mse5XWVZIT0P28ghzIlk+1CTwUDLY2kClwc2JI/igCFo33k02 RpLadS+PQSvHDkejrxEEJRD20f3izxC4HGIVCMs3CPM1/OEIbhBijQBBDvgEFvI04qPhab1491vc vP4WJ1//LU6evsBXX32JVivH0TTAf/zL52hRniSiNZOP//Kf/xNubu7w7/72L4SxUrbm1o3N+rrv fen/66DltVD4EcFTcJwt3O4U/Wdf4K+e/hWV5ABqL4Uj7BGh3elj6lDcLMXf//0/KAsbDobwkwv8 9dNHMmpF9wjtfI7F9VvMkw0en07wzYsnJnSvWhv4/s07zJd87TtsF2v0/urfSwam2G7tpPfIiVSU lrcJyzNu7E/1vtUcrUXxefVn5/juX/4ev/jFL5XZ8WE02Q43VoPR6g7ZNzvg6tW/ih/W6vHzGe3G NgmD1u87Bf0YN4wigexvsI/1Uy72uOLrC3Snj1AeHCxXLYS9c3iDCL3+VPe8WXCHPMbq4h8FAekP 2QynkqxZ3Gf7pBZZCzQ9msyO5HLNCZJswmhlpkOK4NFMEz25pYjWYxIr6mvWpcY+oa8is1DL2IJ2 C6HDnoY5CnPxW3/MengsM5rMXZuo4Se6KcLyHVavfgcEZ+gd/+I+MPE9aZk1Ci+QLL7DPO6jN32h pvTl2+8xPXmENuVwJPttqgQUTCgITFYg85DvY5XA2+0ao/HYiL5tGncUMsLoZm9RRlTH3CMlE2FL BYoQR+ddnD0dSlppvVtiF2/QcezQS1OK6JkQADPTtktN/M2fNCEMPlGtZb+SphSDoy8EGs7Xlzgd uBj2O7gpApW7pZhDluGyIc7vzXKtCfi8H+vVXNQqJh0qWWFZE5MU6mNRhaOBtLAPzB42qxaDxNDR qlSWJp5pzRpZrN7gpPVz5O4ZUpLb1dNuIa86GLe2iDwGvQQeDoiTEj4bXzzdGyZ9uz/F6Ys2TnsH bH/3X/H0m68Fy7dTJUWSknFNF5YK3725RO/4C0StWA089WeqCv/9f/wDfvfdSxwfTfH8+RdIKBDH fkUY4v3lNbzhGcbnz1EWGa5XC9wkG/RPifgu8eq730lm9nC4w3B2JvfcdNjCoxnpLR4enxxjMhnL mZin7mJxiSR5g9FkgkNQ4naV43pFYbz3OD+ZykKMAYRlrTN6gvTuDc6f/8ymlYQEbG7MItvL0Or1 8OblbzB6/DWqdCfFgk+nTqroKN/rmVTtq3/5exydP8PN5XuMzn5f4K35XTWGCzYy+4gpE7xaIhLW 6k+7GEC4yf6QwsPnrqhHGdo/V/ZDl6HO8AOKRsNRZFOYrPreGL3jv8Rh/VqHy6GkC3Ipx5O7m1uy zaSoYBgpaqK7mEwJb6AZQ6qGd8MHY7ZA0mwzVWqyFf6dfoayyWIVGCmeJWnjLu0fAsTsLdWDH+qR s7RmCcXfY3nKJFY2bCTqynXFVYaTxkv4w1p2my7HrT3abfak2mi3toh3/x3LRYBJkGHx6lcysQhC F50wQIe6cC414iV2a70d11UTebfZ6PNzQ/L92RppFYRhxOhkr+CELWWftmn5vVuoaj0sDqkOxUSb mvQoBlIenJzGkeUgxYTDBkWylsDgn3od0jmy1W/h97+S+5WXvsVkzKHYAXfLhSaA8/UF2jQNbgXy Fm3QAI0AAg8Ce05MSDws53c2mfc4ZLEWgNQmCBRVRk2DXnOcJn9Ut73yBQ/yvFKGI+x7mu3bEKvF FXrRDB52KMMu2tUK/fJW94rrqaA6hEPJ6DZ8WqzrA2p07sClA0lZ4SYp8ejRc2xzB06+w3Id49uL jU6UcHeAU+zF/EZ7iG2aYBJYwCPfh02zRjNVk6xhS/9myjk9PoM7e4E2U+gs1lSlOAx1krMYYoPf c9kHoilAimff/Dn2l79Tdvb0i+fwwwjtNk9AjsQPGo1Oh5m83KjXxQndrP8Vbha3ePebKzw7HeL5 OeVDPLhZjNuwj0VcwsvuNCQYhGbsuFqlusHDjoNibXCB3Flgcv7FJ2UDF1iOKmOZvMbRyamUILfS iGrXhd/nL5ZvhESs7lqI6vKMOBgGCPdH0vdPL+HdNEkyB10LAH8YY2S9JgrJeT/qe1jGN+iVN4jT Hfb5EdI8QFgmIrByKkFib+BGClaUG6F8ikn/mvkq34dyKgpIAiVb6cB+hzZRzSEtPzoMqGTKjIkl d2wqEELA5zW6nRuH+DU6Sida7DzA+J6EkPADGLXHoBoMer6fIfTaAuU+3AQgyYBuyOyJrtB0BWK/ hoMEGgibazklULKEaq0tlM4evc4E6/hamUXTnyMujyWO+jgy0GUJZ/2eIE9QtewAl2vQzvTa2Ttk OchM5ObmSg4xTbaugCCrd/aSffhlijSbo2xRyudPQ7kvb+/Q7hJ6M8H27iXamEtNmOX77IhKKhY8 isMY3WgIp6RqOst2U96QrEsdkPh/hCtwrclGj0bC9YFCwUEeEiaVw8m3SVqz3zcaz9Bpjcw5qdyq ldD0OrkWvHYXWbsL0qtLamq5G/X3KDLAn2HAZAYdx1QXqoGP5fYGy9XORuiTU00N4qCDBVHYmwVi dHD+/BeI/FIW3bNhG+/TAJXjITlQH5rpui3WL549xenpKf7pt29w8Ds4P+rrIWvCE2yxYDP1sEb7 ZKAmeLG9Rrady/L+bNrBMq5QhUfw8gRlniEcTPFmvtSErioDREmGsyGdYX38zV9+g9VqjavLK+z3 JqRXbq9x9vQreK02iuvfquSgZG0fObJBH5nfF4Yqmk2VmrY8uhb7iPcZZqMe2q0AyeQca2ciVYUP Lz4sqjuwkchAxSyHG6ZK13Ap/VubcvzYNZw2Jhs0kdxpWhgOfkJZJzE/wwKRVsHv7Kvf8uOXJnXq KbAE+3yZIf/AdC+iuRvR6p0u1kt4ZaoNmLPuLR3xAsejGcKO+QxyIUtBNNlrcjYaTZT+M7g3oFHp YtWMBvseqBeulYAykeC0j8DQ2qJNi5rKBZRLjujDaLQfUslsBF7ptfm+9yN2itgxk4q6SFc7xOsb RANf2R43TSOJozYFS0jfJGr4v7lBBVqs2xrMLAqqJnhsKLeUTXFCK5iF8FJdrBZzxMFWbkIyEZXu GSV9bEpKKR1OQQkgZck8oKUXp8TFQd+DpTQ3ru4Tqxyqh3gBQrdCwX5nTvHDn55J8+rPnhgcoUjR CnKpw+7j1J5FoyDKviFSXM9fwUOA8ejUcGbE1JGPulsrkMoowisUxHlx0ukjrHmogSAuXkRMpIfA tYxxNj1HtzvA7fzCxPradujwmbO85IGy3SVoOT4yP8Iom6OXrVA45NfSRZrKqQGWe5p4OPDT1bXc bLIgx3Uaa5ImGkW+RbK5hXfYYZPR53GA9mFF3oEoNyTvUt2y7STo0QKoRsEbox+4WFeIjr6E32vj UNrJyr+f9kMEPKHJ/iYGox3CWy9QhBOMiLh1Dlizbk0yHDZ32NBu7MUvpf3OUzuoUiTrHbJ2WwFL r8uRe/8Ik7ERRVFt8e0//d94/NUvcdon54nARGCf5rib79A/HWhRVG6ALcX0kx1mwwi9KIBPAX02 h2XquEDs9FB6Dz0BPgQjNjtwOBGUmmSI0o+Q1mXDH3+RZUAy7I83+j+9JL3BcXCnK4K2lDeDP9z/ khrlZzA9zC6I9yL6nQvVcbtwumNEMobN4a6XKAviimyaxyDN8kE29i7BLQaoZdbAcpm0GyLdpXnF bIvyPHUDV3pg9UYxgUaWCST4m68lx9vE9JhJpweHeLOQ6qRm3CEBwjrwmRu19VH43wpsNVTEyLg+ wmCP3f4ldvkKvdk32Ny+xvEoqWW6efgmms5xPTf6T42DT2O97lcRFs5M66IrRx0HiWdS3kT6K+uk JPSewnyhpsPENWly6VDmlz03BudQ9wWVfWZubDnkeJ6wWQp08pr0UbLJTMPZA6fAxLH9dNs4XuLA qicbo4hv4QfExZkxCIO3GZsGGjLwR6knx2nsk6df4275Tn2sXP6h9EMwJVkBeRnwed+44Hk4eEN4 /RbClk2NiyqV5hX1+ddX3+uA60UDGfXy3rNUbrVYLUUi6ztswtPUNeohzFPsNqn2Eg8Qfvdc1vUO fOo+9cYHZKHxvKIRx70Oet0uOu0Mf/c/b3D61V+j7yfwygAvbwt4HRdnkY9H0w7Ohg5aPoGXjXip 3diqe4KuA8SrC/x6fSsA6c++fKxMZ1aPrXnJCcOhaPQaF3db/Pkvv0C7zNQHoHEBS5jNu1/j+v0l Ts6fYBBmODnuoF1LMQsBztTVyRANR2pAz1//GqfPvlH2Ni9K5MUeV/MdwJ7FlHiOAJPjc2Ucu/kO 3SrFqMthgYv4UKFNkJx7QEVLqyqAJ316k5vZLK4xDDnFaqNqm6SM3+lhePQIxaH6SPSRC1YAz89M ou6/v+tJLtkPqMv1xxl6Nht/s5xLbpn//N7FKdp29aDC0JSSlMap8VLMEtstB/0gx6TvYJ9nmCd7 hIMz+HXjlkoSbSdHp9dSePHyAP3uGK7vqD9UY4T1/CXmxkOlxY1JD0Ce5Iazso9k7IF7kjYnT8Ja 2b8bXqSJHBpXk6JuPKGj2uKe2RsznF5vYF6GFCJ1OYXjnXdwcC3ocaJssAlmcHQjX2J58c8Y9nJJ MDck/SAk7MQIuaYNbwBFQ2i7GHaPcFceYe5MQK2Atpeg13fVazIyL9V2rVIwsLQFTq5Jll1pxZ6Q J8iHTCLWK/WzZGMl/Bj7QBQlNKlovi7bGu26hXKoOMT5t2KxKvhOAkglxTJdfoZuv29KTvagdbCw xJvfXuM4eYqSwNXWGF7Hx2qZoduZoCi2gmpstnOkXoo+NddoSOF46Pkjfc/K4fSJop4BlttbXF9f 4Mn51xgPT7De3KqdMOi1Rd8p8xJhq0KrWOKQ95CGXZSqhoaY392ipR6igyHNX/ms88rDdxSln/Vl +d3U01RpaAU+Js/+TOP75dvX2OUOxk++wdX8SmaM7y7nuJpvcXJ2jlHHwaxnv6tA4rqIl9dwV+8R 9I6wr9j5L+FVpFV8XL7MphOMBjlevtkhzveaIj6bOGh5J5ivdvjVb14icB38/Iw9gsb0wQjSfC+K 10dejngzhzuc4eLyGj//2xei6Bw5t0q7k0kH8/igDWzcNpZGZMs3tTKwWK6kc816//pug/V2J3MK bjLqr7Pf120BfvIeexCvNrTX4+ep6/oPL0msfAAVYVnT2HU3F0uHDs02fwLWRhy9bk9TQm7qBtZA GRnKOjMgdUMXkw41qwqsFnvRoHrBAd0WN2lHqPPjAcR1i3cZdnGO222hPsu0S1G8NtLtSgfE9LiL MOirac7JGLMbE10khch0/UVOlomJp55gr7SpsfHY9iiKtfpb7OHou7IdJiCuZXhNOSpzVeYXHss3 c45uQIwCmrboUrwS6JABkuWFTdENRtP2TQxQ8i2+4YAU6NIUJ7PS0PM0EKk1zxqHaPYXedyoGUzw LsvGnA5SWyxbjxV0W9iBM2SGX342W0N2GLD8FOGacs7J3pRF66AvlDtJ73c3Vn6pX2blEbXsi4PJ JxP9fntzhf7sEYaBj/1uj2y/RtQ3fXv8VGNeSgst3uF4lKHf9nDok8NpfSbqbVmGSulty4Tpq8kM sdfvC7ZxckzHpGvpdTlBjH2xVVDz3GMcT/rC7FGfndtZfgd70zpjL5IH1fXmErfXVwYkZb8xJL0n R5fORGG3hrkAr9bfytWnG62ROxyEUA9/UHsYxEgRSzvLoZQSF93lMsXjWQ8dZw9/fyPYwnZ+i996 A0zOHqO4/ldU6RaT4VQ3dXr+Jf7uV/9N0ia8+anbxcrpolhc4XgYqiH5Ilqganu4CSb41zc3iPcJ Xky/wKvLJTa7HI/PphgPCRzlCeJgnVzh6LyN9JAgaA3QCewBnR5NcDIbI87ZyDNBuHu4fN0PIWD1 i9Mxtvscb+4u8It/97/i7//P/wPPvvoG3pDQgTZaZYpJf4Drty9RrK+xopX26FjN9ShwkEbHWG9T PPr6P+thPzoFKHVnmcga65v36AYlDvEtQt/B6dkTxHigeBAiwVLgo0sb4oOLOuXXL9EZjBH2p/eC dJ/jLP6hiyf4YDQVSFVTSwYHCvRNjwWPoGDf+wWBoLeoiHkiDirsoaS20HaFQ0wU8Rr+9GtMzp4i 6NGtBWgs/PLlW3w5MwhHntnG4+bsM/vIMknJcMpGo0xNgOsszyR0OaK30oCbtV3z95hdsE+jJyu4 g2l1Z+yLsZ9FwCT965reCn+XOlJq2FtZxExuOBprUsVA0+jGN9AIHgCSKXFp+mrKnhqS6GCjOQqz m+59j8x0zzZohyRlt4VBKnJTiohCbtyNSqC+s0T/cKVD1xDettHjrUnY0FDiQSAJUkqd394K+KgS jBZnB3PIkdoB702WiZ4iqlO3p+zq+vo9Zk9/pkOYWQ/hQgkZEO2Pp9V/6OLh5Se/wYvHEVaLFVb7 JoOtQaGsUWsXbrl572kIYt9bE0I+10MiaKbvBBiMR8rImU3NF6/R6dBWb4qbeIbosMYwMElo6WjV XoMUppS2F23+8hTL7Y3uU+BFqDRxNAfqqBdpHXf2NzjvOwhrZkAn6op3uZy72O4v2fGFP8yvkfZn +G/fkgvlYezsMSF5mOlqGGKav8E+BJ588xyL5QbZ9hbo8sR18ZfPBvj2Yo2sLJBe/QbnZ1QVdOoG O0vECkfTMWYTYlUOyIocl7drhEdfYV366MsTkQJuiRycOQk8UKKrSJE5JgKmm1sWaGshGpPczsVG kfSAXZwgTgrVyVkWoFgt8Yt//79pUy/iOTplhLzTw/qGCqJDjM6PMVncoXf21YfR5J7H93GMqYRe Z6PUHxyj25thv1kg3VaQy3l99UcT2wQ/AuKUzhE93ZItirArlYY/frpnJN/mYjOS/4T7jvpY7GdR 6oOfgz9nyqLEWVHVkvw6E8vjQl5u7+C4Y4y//ov7QPHhRTL0JCLa2yZ9SWaaRyyVzbbLx2G3kqhb g4jmM+e/uemF0yGYk6YCclqh/15LZgRGpTmYfnnNimBZxuxKpWppQYlDHEqW8J7p72rHbiHm4eh5 sHQyEwcOYySsK+VUHhwtShFnh5oETomajtYP+0gi6qsMpIN2ouxJuvw1JcgstwpkLOfo8MIJYLWw vk9GRVUKNNKUoS89erpHNfxY2dJRoZX2cOMJ5vPbmgPnaxBBZkZj/SVHbFFx7Pc4RDg7f4KSw6ZD PRgg+La4QFkcSbZJMlDE+pGZ8gOTQ+6XXmul4ZHcznnIEGGe7NHvD7FYGNTACOX1vuMAQOh1lsql yjfHK2vFD6uYqPy5WS7tXpWpIBdwp6jCAVyHWDPCSdjfdRG4JHbP9fvZLsH7y+/R6d6icp5j0D1G u/bF5DOZzk6xnF+rjcBDZHZ8dI/lJK2rPehh5NJjkUMDt4U82SpVPj87wtDZ4GIeIy7bWL/9Dt4u wosnpv80GQ/geDtslq/x4svHhn8h9untrzEb95HkxNLs8fLla8EOhoMBZrNpbeIA3KwOCKZfyhnZ y9ZIszvZVW8oA+xSOC7AoQoxFEuR5ZrpjDe68soiuGCZ/jdWQiU0PXi3YzrfUmovfEd/pAXNrKt7 /AweBeKcSpIpVEwYnPQ+gSAQJ2WTmg97TgwCHCk7xNDkexSli85n3FgkV7NZqgdg5Obfv7QhR49x d/kG/va36J1+de9X+GMXTz4J/rOM+YSC0yikstxk2frpxVQ9Xr5Hd3IukCq1ofjPq9/8s+FmPmM2 6h9iDMl+l9Z7IR5k898mcF2q2S6QY92ENmqNHVIfphqN3rxMeKWQY6c6g0NRZ8rWhwxl6+YFJisi 3iLfjxGv+Z3aF9JwW9a/VNOY3EjqbomT1xX+y6MpKvXG5JZMA1rvXoeJvyttpYDUpsZpyd5TtCIO DyRz5GIrid4EfWdd8xuLj6y0GDCJG2xQ+yyBuIYYNIkTvL68wHa3xmQ2w/mjJwrEt9eXyqYm0yN9 /rSW2qEKK5H7m80Wq8L4oszIFrd3aB2usJ9/j9BPZVHf6j9BMHj2e87PUkFZXaJ1eIei2uv9eE9Y PhPwy/dj47vyDFLA70toD20eEAAAIABJREFUECd8/N2mF7mNFxiPjpGTw0moRS1f3iYNLzN13oTT vWCDcYfFNHF1haoZ7VeaD69usVzcqmJjn5VBmpmvkpoiQSXDWSLyPQyHU7WKijTHIaMBh+1BYfPC AC2vj9u7W/ij8RDd/QY7jhpX73FTHLBIHJkhrLd7TPptZUH8sDwNOAlbp6RldNHCHQadEJ3QV1m4 yX10CmJkAtze3N5PYkz2in59XQzoQpzu4RQHbG7vQBHDrHsKnzLBVRuTVmmGBtoYtZtOY4pJVcZa noYdOI8jYBpHDjy0BwXWhwgVrezLEjdvX2I3f48vnn+Jar9EnpdwOyONthWcPqPe2BkMcf36W218 cSsJbsxT0WAUxDYXSHKSmOuApSBa6KSTnPB2iWwHTH4gYInxHoZy49ld/KpWMfjDAYuLkn3EH7o+ RNd/eOVJLDPcySOCfz++SJomf/JzAYvGGJwIsQ/EnoaCFd2LRUK2EpaG483zMYdnGoSQwsGBBbXO aoMMidLVWVM9nVLTnWql7CXWkz3Pa6uvQv9ncQXrLEiif3W52RTYfEX2xdggp+Z9IwUktc8aN0Ry ucxKa5kdYQxrjXUSjokXbBgD5mhOphKDqosw6BEqbQRzt8DYea/7yANU9nOOo0BiWuSGL2vUPsyz j6/r4M2r79QDI5BWDsbyH2Tgr/D6++8xHtOn0oYPzWe0wEnVA0ZSDiCAvlgk1zh61MV+TzJyhiK9 QpmQG5sgySgQyKzQETm7St6hdIhrPMg+7fGz5wrGzSHP7yw4Ry2qyLKMAZMk5eVygdOzR5KxHo+P 7wUMmu8mjfVO5z6Z8PMtqtxHwSySumbc86ym5PxtmSfXEUX+GtyVNMr2u9qApIPI65pJMfmiUrJI azceuy80qmC1d3J8Al8Qepe8oFgI7LLVRzjsKeKejtsyR202A08cppE0lej3WvAOBk04Pz3CfEu3 4RTDSQ+jfhePH52Z+mhtbU+vwj7h/+UO+yLVZhr1O5LajW8pvpbgZ09OpSXOuv/e5kubwpxpxHFT wKpVIOoeEP9FsvxufofY6yNod+HkW8EtOn6J3fpSzHfKDVftHx7/mxlCR5y+ew2tOivgFWfOPTFX D5AoZFApk8j3ntQlmB7/oYunU+ZEaMt+/t92NaavnyNtC4DY7IZPLvotruvS4NOL9k83SQvb5V4u KkleIi+Jii8wGRizn1MibghprNfcMQanJmCQitOMz8W/lDV5445kGbKyHCGmDR3dZFFmwGm9J+uF cdLLlWTQDGYuDUWkaexzg5jygW/mCOyBJUZUppIu1zmDmkpAcRNb8EAHoz525Q5OQX/EUhkCnINo IySAt3gYldT5spKvydD4XvPbGyT7RGWwqWFwyuhjtVqIZlQUKR49Jmc1VLmVMtOL+tLlOhTXiHex EO/8sAyuzJ47BLKSb8os0bXJexg66PTMvJdBQH6Y7hZh+R675XtEnSkOO+4p6q9TbM/6eLxXnDQu abQynsJvkx3AFkCgHpKI/HEsDB1J7o3aBkszwjHSivZ6LJWNB9j0SRtLeV58dlauP2Ta7GumxQ6V Y3ZnvOSGU5GnWHuAsnWSpri8fIvj4zNr59Q0HrkKkSNa7726QLN+2798fykZ5F1K6+8htnc36A5L tMstnp5PJUHLqxldH40iSc14LicC5mY7HnbQ7RAc6OBuvcamHGLUDuRGw+wq0mnqCOMUdlsouKDp 2LtI8e4mhU/6x+Qxvn37Gl89a6uZ+bDR6kV+n0E8OOvc97SEnfLV8F/Tgitf4OvHE9xdZ8jjtV6v 4zgYdYHvry8Qjk9x/e61XpM3YzCeot01o1O62UR9EosLyUST+tKk3a0By9vGE3GDgbPDqOths+J7 ONhWPjbO5xHr3FRUHFXJyj5Pq4PdgqoBH6sK/NSLaPsfinsGd/j852EwHo+MQP1p0z/sT8C8ZLO9 QNQ/EsVkf/cGLpaYrw468X3ZiNNI1fpLCiQ1XaOxSzNbdhMnbDIccQVrGINlNpblMFOwQGZlWXO8 ymqOY6gqv8dXGZLdskoBTiXuaABIqT2o5DSTT/1+PVWu0gCh04JzYKYuEyttKo9Id2Tw2wRC51Jk YNBiL8gPIkPcEztYk7cZAPl9e33r2erzaHiQqJ9F9QFi0caTiTILwhv4HTikUHkaRTg+OcXl+7f1 VI7KtV1ldGop1FxNqVDk9lplGWnzs3xiJkPoRllspZwyGrew22biSO42Wxw8/qzLlEiUNAYnEcfV z7RhQxCa7lijBNyU7uJ2wsP52ddIi5rdUB/mlEfm+pXGGRVhaQXYM3ydyNBMfjgVJi2rMo9J/h2z S2bT/P4sT/lnbKhHIY1WqTyaCbqSZbeGf6N+PS/FD5Onkq4e18OYdlt5hvE0wpPzPlrBuK5Z+9aQ qzOdZkDB3pRtXwp+1U1TGS0GuF6skHaeaAqwvvsdRt0+OnV9zzSPpSIfsOcAV8sYlxsgmj3FjAql yzf4xc+fG+m0vj40vXj4s8Zo1W5iw0mTf1/g44j+V1xyeYRiNELQP8bdvpI6Qct38HTWxnXl4OSx 8f5aLk9zFwlv9u4Wvzjz8PriFdJgggA5yiy+dxhpelsU3m8f1piM2D8x/BpLiGZcHP6Q6qOUSWtb sOEIye4tNss72XP9qVckLuEH6PGfcBHBXRJK8Ekfjfd1fvkG3U4b4fBIoEPqk0et0BxpYpMYYdrO /hZPRzic2IVwKXK322rhUlaXmUJjwMC+kOMU1gjXGmMpZ+RZ64GZjhJLAPVXNJFjidWYf5hZhVPw 52rtfMmOmGs3AwMDscElTCeeGYCZtlLie6hSKXBDCQPS/Zi9Uh60FrhrM1/wdyIRyyk+1zTqCaVo tPxTUoCoGUcvRhm2cLrdUj+I01dOrjnN5GejwwxhGvw+pu0FTAm6VSZqSrplwf6sNcbvsWrqkaXi 0/Ge5VJFsL5TM5VVdsd2BgdhNfmbfy9LMWallZWvjQyMBgdpJnAogbDmD2pa+nzPs9MvMBmd4nr5 SokFua8Be4t16dwL27WaqGllkYZEIUYFVw05DKS9WiyRJeQQswdojtAjOl/Xh1szYDl//AVeffev qqqYOXO7y2SEqqP5AQMpEjwIh/rzTSIkt7NeoP2MJFg2TeuanmjvT+TTqXlzK6ttHzO6OdeIYH74 /CAasXiJ17cr2flQW4tj9ncXt9hdvbRTN+yhP55hcnIu3erlzXv8xfMz+8B1j6rZf+pl1CXCh0aO hkQ2aYuPgJlUIFWjLhSp+6rsIy+3CBwidIHlYgV3PDN53aqUtA0/E6ku4x7r/BzjQYSX8xjd2TEE xuH9qKkskkXZX+PkiH22EuvFUq+l2j1ONVEs6+nWp0Hk04ngNnPw6N8QrD73mj/l+lCl9NOLjfmb d98iTBL1KicjounZW+pZ/4rPiehtkqeZ6VEBYkee2e5ey51lkLI3PjNpJZlrM69mcfLSMxTEwE59 2xwMgGzgkga01euJtkMqF6eeXlS7QLMHlqPUocUASC6eodYVQKnH5roY9Y6Q5FsFlhyZ9dAqbjpO BngQcw3x9/L7jIz/zc9EAq/6auyttix7oZQR1/luRydn4x9WZCBsVrVzEEUYGTRYCqsdVU8mDWnO wDMYThTEDFxsYoBq4lf2e5wCq+cqOSOWXRY4q6i8l47mMyHdh4H/vhKop75GMaoVWUtKv9ggxaAU AUJ6FGxWCLw2To+fyY09TtfYpLc6TAggHcyo9e7BSfbKApUt1xn6ISyRHNbIi7FUJ1i+8y/X2wRB SO16X/LPMiIGBxzGDVTpqaBqcjrEfb1++btagIGc0QDr1Qo9keofMhZVefyBL589Rrm+xHZvRFr2 mwgsVFOyQSjX7szbeI+qd4L38wUmI3rd22mgNK8b4Wa7wGk7wfk3p/ifL+eIU6J8PbQDB3svQHcw xIsvn+AAD4uC1IsCnR6xW8Z1+9RKrLF7orwIb3rgR3VZYahia8g2WVdtbV9bXvGkp6QxF/YqdrC/ K4DoFOG9goJ7r3XNhfSP374W7mufZBj1+wiinqaEMj2tuJBNqjUidMBlms/PwD4Ogxfg0C5tOcc6 WaE9nCHs/bBbS9gZ4NEv/9OfFGgkeFcY9orfl5uJm0DPS2USVRNYSjFbMOlbyjM3pd8DTKKWq/7M dYjf4fyYeKY1fJ8uSeYZyCkPR9J5YdLGLLukPtDp4qDTl8BLE2/ju2kjs1dVk5X1ezVwVrIx0v63 DSYD1vqkZ0mp5m6tkqpnyhZA4yojSAAb0zapY+NY9mJ03KkhAoBp5AuKsN8rUKkxzwFAZpbrfLTy QdRBR+4cuYrclIZVYoCgbjl7VSSoE5ZClQ+3crBarzAYMItik5xKC13Mjk+w3W7litPIOhOpzsml eIm1SiontuyHkmkiXTNNOz1hlug/ST2qpoKgTLDaFTkDKPXbJP8ppQ1+V3PMtsyGr0NLLAFwDyzf 6ZhMPJUF1QaLJddpAl0PLp48/kYQhmV8aSa3gkMw43FR7JYIewO5VqUHwlRcTOiILus1wlGoIsq+ oCUKDLqUhmZvTD6R3R7aQU8AUz6fpk8Gh3ud2DhPyhfrzUK9M8I2yLkMB7N7dMEHKx9+lSzRTq9x WXZx93aNiOjwfgsn4w7mi7lKue1uh2dPHyutY817cBxNHybBGI8fMUsCtvsU812FVrkXTJ8bp3XY 4c3La4wnY0w7FSZEtA97+NWvfiUHkSIciyQ963DU+fEHay7hgPI10jwWA5wnIQOIeGgfZBdNYGtQ 8My0To4mGOaQXnzpcXJEcu3ncVL0MeyOZvBHZxh/gESXOFktwetSFZIKijmwSraAeF72d0y5R/02 em1Ls1dlXmOia4ehOku0RrhdzYLW5v0JJR2zPNqG6SDR9LUvOyt+d5pu5PFKziPdloNAxgzAYm+B jZkip4DbOMHk9Om9HdmnVzT9RqXgdvkKbrXHeMhgEMh4YUgNfJfCgS7ijHgsM1TQuN/llNZBEifY x8xemX366PY7CjhSGK2VCZQJy7TTGrjcAIZ7M+UMk96N9TMKfPXByE3JdoWCXGzqrtwMnHLZ0rFB jykM8JDjUCmD41kJys9hPD/LxO5NVMgblLSN9VH4d/p8DCitUJALStqYzIoh6PV2fL2CWQ9xaBEm RzPM5zfq4fQ826Ay+5D3IqfaI2Vi3JhcX/JRlDieIf2ZVEie5QNALtdKnlE8j0RqU2AV2ZtqB3qu NL2NBX3hazErNJ6ii1yiiSauyPLQAnAsjuAjyjy5BfYphQ+IwDcIEUt58iQNRsQPsMd6u8HR058h LVJ4gpRYYiBOJmlY0tLnYdFGXrA8NfPVMsiQF1aa3xvYNAmKS8R/pL7oZrXUsyfaf9QZ4/TebPkh Hvi0+KJF1sn5mdQHAxQovQiXmxLXF9fodYh0zjVF4CISuMytFIzyYoBUhFEH+6yE05lKR+ri/Sv8 7KvnmI56urnHx1N0275KRi6UL778Auv1Fv12hSFlPrRArA/zYHRRn85cdE4pvBaRwrTxZgrL0TM5 ZJZU1ej3e3fqB0ssglCHfobJ0OSE43KPojL0MZuqLIsoX3xvTsHR/AcBi4uJigqt9uCDjI8GCcwi YODC+sYahYQnqgcnewhAXHi7xZVO1VbXaDgsYZLdCt2hCfJz4dI27FMQ5+cuYrKYNX6oJ0+E+wOK mSS9LUIcMOqTykRpWboH01arQrVfY7/IUB4//oj7+OkVsrk8foZ4fWdT4PKA0Cmw3DMbKtHrspHL Er1EdmB2QF3yIcp9iniTwS1Jhrd+o8jJzMbqgG1cPlsPFmIMuMlSzSSFLYsyGpD9mbULLDCyvGJA aHo6CrzMlmqAqehAKpla8GuJ5iZ1l2uPkPH2v+TcQ0ecOmAqU8hLbFMH3Y4Hxyflpx62JMzM6qmo Mm/TrGegYS+PWSuDqHi5UQdhxPtvfSOWvU1pu1yYLbvZwNNtiqP/ngFWM3u+1v8zkKkGE9s1orKD qrHAqrPr5uBuYCTEN5HW02rF2BYHjKdTU7gQ3so+Y787xezoDGm+UyBnD9qegwUS3gvKRnH/GmeS WmWhxAliZnvqbVvZyZ8hkHY8a6P0+AyN6cD7Q/CoFFeJrdxaxmWTP5qyGPBbUtEUBu10sNzfWdUi hDw5kB+vST8Kfbx9e4lRCgz9FP3pCFcx0eMkNvbwxdNzRfymcuj3zD/tdDZmAwONqsls0Ma7xRzv Lu/wZ09m+tKj4RC9Ls0yOZpmQLDm7qvX76Rjfno0RptSnx9MAZqGumE2cmQldcVrPzotOkhutvke gv432cu9g3QDeTAuGW2wpNdE7tYiweXV92qAS8ZXrPqDuHmfA3FKyZImCh94AhI5fnALjaBN+8n+ zQeQ5QcsUx+HVkdkYV7qszA4UUSwxrMsOY0dDO7Bj7IF37P/8wBK/NylbKSWl/ncZaYeFFossGn1 0SbnrkUQL8uKyEjRERdOZlpLvmmbfy7Do3QQH77bYu+CZeYBrf4A8SHHPrvDJs3Q4glOMVHqTO0u 0e1GaEceOhMCFSmdbNmMNXdrnik3mDIEyzgbJQY28ZWpSQvLNk7znQyBbvgsgiEb+od04tk6Z0+l XgfiHRLXQ4MLdm8rTivpQkNJmDq74utkKZbzBfISag1c0LOgy4Dv4G5bYdC1sojtEQ6KJLmi9gj7 tPZ5jD9JxLiBZu9uqXawxenZubIZBmIGIDMapt8jg2EiyRbCLwjENJ9Mc0VmgNrH5F4yOyFRm/0e DgaMcM3pnMdeDiEKCuaWWdk6o3HsFr4TYtQ/wvZuhdOnT7C4vMPR2Zlasftki7bXw6NnT7Ha3InL yKywOSjZb2JywtJ8vTxgvV8q0DbYs6ZkZ/VVhEasHyhg2oGQZjRVNnUWQk+k1rBeokNaWMqDZFgH LeXZtR19aliwDZHzPGQC9AJ6U1bwPykL/dOf/wdhNV7++p/gjDp4RFfmfI6jSQ+96LRubpuEyH0K relESxGQelGUV+KGnkbA4DGDVEeWXEyle70Oru/WeHu7w6zfgtfuoTN7pAezSmkptEMkbFNtVPlB s3Cf08iRfLA6mFV8QJxIWvNRqT+DjsB6zUljJySDETMzC3xs4BpPLS0qTI7P1Cdgg3yzuJMOO4MV JVvY5KTh5Kcbl70sgSwryzKIueLpyIdtOB8OHSzQ7zFEyAZnHQR4ClKJgVmV12az1rTOJYQXUlo3 1+eQDtKPVIb8DKv5jYLVp24995+VUSGIkG022M0vcHQ+RJqylDC8lPUVuhqtp1mOt5e/xqFzjN7o Y/T+8uYSi+V7aZn3+P2qCK1ohEPp4LD5Ft5hjX3iI/GOUWYFJsMCw46LFvmWB5YHDZCyPjwqCGnd QFIMhMmxiWlZcaIoMTcZFfC5HXR/rDdiB5gcXGrQo1Dp/kH3vPLbWMdUQiWosSsjD0I6hBGjcADv XR4rUMhGK0kEPk0zMiwC0cyqYo9RWKGitZzv4XE7QJvTSVpgEXNE2IKoKzwY7ZAVGFM0HoNAcPJ7 e3el79N7/MTEHg8HgTAZhMjDZTCzLIuo/E6t2OmKo8iskA3oxpFbg5ya3cFJvFOrl1pW+lAmGU3N 1rrK25aDwZQGKPRMNB/J65u3+u5UuTiaPMEmnovgrCmttK9s+sk1a0KJlYxsCVFgs53PR7IyohVR RoaHR4mCfdsyw6Az1Joe987FCyyYaJDiMzFwKgN8vNqqFOYz0rM+mDsPFUhZCspNiHxVqjhQfIGZ Mocn6uXVAYv8uSgEjh9/KXJvO/Tx7NHRB2oI2gb27zqimBOOaS4UDAx6QZqltqTTvtkyHfW1qflL 0WCMo8EXqJyW9NI3ouhT+fGAAVKVnXZCNY13e+9uOEa3Pb6vYpuMyLIt+xlhZfi79xnGg1WU7WB7 kPyB63UKrz97AK91TOGSFB6jdvhY3V4jevoZVPnuGlcXWxw/eY5+m8GRWB1TZODnI0jQMoBUDdmP ZZUdHMhqD2qXID/A+OhEG3a3XikDGx+d6mF9zpqeF0vG24vvMGklOOrMcH29gRNNa1jDwyV52qiH yWmIkbtE2KJL71wbRzLC9oH0XQkw/OLREJfLWB6NvQltwT3Zlrvx7/DiiKTTHLs8wjbbYea+QXZr HpTtAX3Y7+AH79Ees8FbGJWGJGtxJO2tRIWS8CL9BCsNW3nPed+4+EmIrj+4uezUi44lCvtw9MWT qSfLJC/QIkZzKjNzCugXeBBJmA9CvZqDI+2lXsgTvkCSbbQZdAjudsTSKwC1aXPfdoRpanfaNfl3 j1DyMwxQiQCrhgwnypsZFssdU9VssEuW7RXoKeutRFaWoww/d5Li+v17+/w+/RA6mqby3wLF1mvT Sl/ry0adyMw8hDHj0IGULLMm4UCABy83vWmLsXTmgQn1rHg/+V5V5WE4NWWM0XSMxfwOo+EUXzz5 c8EnlttLBUyuA2Y2TEwaKIQUJ6SC4SpTlVDkvsJoYiBXueSwt8cMt8xxubjEyn2PF8/+WmWj2A2p K9xlgUzrZbveaxhALmWjkmvUOvocGo+U31GWb9Ra8x3hvtxORzzi5vJ/93f/FWfPnkq6Yewk2CVd RU/CHxp3dA0WhHo1ZxIBumrQJj/bKo7x6uIWp7MhfNfF621L+thPT+zUpHTxod1X5P/wCqMedqu1 Alcn8u/tkD5Gsj8YWTT2YVzwrmsR9B5U+gGFwJp5FrhKTllYslEwpdNHWj0EN17kfH2ostCjWURd dslaqL5yN0LQLnFzfY15zV2rKtJCzG+Ri3806CCV1+HHqHP1IXhC1ROaJmjwfzOzW93dwPOzz8gW W7OemyVdXuLn5x3JbnCo0e+4WCwusLpbwh+cyjzUMES1hX26gxOypwGZA/A7M+3mfZHsDdPt2pzy yRENSwvM4ysUrQmCVgTv5JdIln+P6WCMUy/E1fwOt2kbk0GokTWDDXlvgrXoWVmmKz6YKEcP5V8Q sM9DwThueAtKjTIA4Q1pXS6yqW2KpakCkZOz3Elx8FpotY2bx2zg4ATKHoasWAncdIhxsslnt9OH uNrZAfOUUy/rX3GT7rc7DMczodfZiWAA5Pu22sw+Nfyz7Msv7s1frTsM6Udp8ukRgW9cOgZUgSO1 jqzce+BBUtkj1vMbT6iqsVePUqKVNHFRZmX9N258Ss3YVJdLzzI4DQfKg0T/jCid6X4SiGkDHFsj zPKZqTBL4c9sVitMj070u9aDOmAyPhE+8v37l3BbprJqrQC+B3XpzUxVE1LHlf087yeb4YKWbLc4 abWtWS9og/UAeUi3aBCCEIv1ewyiI72fyO2ui+XmSiBVxhRORVm+Uh5oOJzo9VmCkjWQe5m+l5yy lWFT68xH69OS8H//dy900/7pbYI4L3G78TBpF9K2MjY99yQ/XO3yWmdVWQlELrDapbi42cFtDZEX FUajFo4yuuLyZGAgYH1vqeanFxdAa3CENZuv8Ua8xIce1Cdbt26qq0lZW0PxBt8TbusNbhkaN9HD 5I2nRZofsMoClG1DDP/wValBzswgGJiYITOf3uRjo4bf+y1Kx+xjwA3RpjnrR3/HCVKichY1d4+L abucSy55evro/udIVg5owkGXmbLAIdmihQTPj4fqp3CRE6wnl5rpCP6Oh8w1An+G5WKBcZc/4yDd bQm00rNqsGu6T0WlssqgEJycWQObdNFpl8YEb7AH+V0FZmdfWQofdTEeZIhv3+PtTYardRvPp0zz bZonuRWdjg763QhRu4dEvQyWQbRqt/KsEc1riLQ8Wc3ZyBQgGj9DRhmO7unTGHUH6LetPyUgpOhd mZXVdcbYEK4JpDgk3IQJ9jldyFl6EDxph5yQ2e2uyP5ODeQ0dxejl7DforKnRoVLw6EZshAUqs1E LXOWRzYgYNnKwEU5Fja0JcHcoN6VxfF9HFUZXnQOVCla7T15XaaPRpCqZIA5EaWhRtOIt1ZCkRBK YlQkT5/Rpr5qeUhimzARa4eIPM79UMv8tELS6qwaOZ49w5uL38qBhioShjMrxfMTr5C4Mc/Dfk+Y CvuEWS2tRPFDR5kTv2e8N00svjeb+MKNsb2y22LRooaZh/Foqj4bMz0pdtSg3LDTlou4hi+Bg75P IUhXve393sFwMkLyPsbtzYVlrIMpuoTIMBhT+bZxfuZCCYlC9ylBegX4fNBdpe8WJ8xVT7wi8p64 yFw23ta4XmbyETwdtTEeEHZf4fEJ9X5sIbEUiSXg5qNFwt+n1u5eiFWS4Gq+xF9/dQqH6qMf7/aH AFc3XxsSrPU3rG/V9EmarNBwO6azxM98Gx9waA0R/EDJ9XA56E5OkVO7e3OnqZ83NKOOH7/Mr1CW T5/0wNSPoDXYB810nkwP2u42nk/WtwoUUS+orc99dAZttCNKUnPSxMzPgrJE4FohRpSSYRw6LLHP bjUR4qk+4YntcnLJUTuhIAfRLGzx2DPQyJqEWTW5bXw9HbWEpTJ+HO+jNVwnkyPkZQp/PcfVcoOb kq9BJxzDfrFn1InGcFnCkRZTU2/Yizh4bCabyoENGKT3UMv0mtInvw8hM+yJmoGEJwlsBsWytBZE Q5xmkGEvpzG+EGVFuK+2rNbJTxUcocY88ecYvJjJpwdfiH2BTqmb5Qd2b4TXSg1DpvcyVkblV5r+ MUAwS6L+etNjtU3EA9GmlWxWf0iodoIBDv5YPdCg+xhhd6yAFidXqOLv0BK9yL6bBUjLPnn/jZxs gahxUnbqrIt8OyNfG692t9tp4fOZMZsWhKbGcBHbZv1Evr71nwX6TFg2GpmZe9TzS61B9kkZHG+u Lm1VS5KnpUZ501rhfWWv936imiZYrVYqtYtJhTDvohd0tBGl609IieOiOwqxnK8xX69Q+SllQZCV lEjmZ8jhBCXcgGh/MyOmXr67izFfEl5lSht+U6Zsdhlu4h28YoUJHZlZ7+vzWYAQ44X0l/pEY8Py f/zTb/H18yc4PZ53naGlAAAVaklEQVRoAtfEF5kK1OapnNCdT7rYpXtcrxe4vXqPRy9+bo7HZM3T m83N0B9Z/f9pnGqULBuDAYMuWAbG9Psjcm+tldUEM/YfSnGYgC57B59RaPj0kmwtR7WdPosbAU// qKs2NGjkgD++rIz+lGakrGxxJ1xVtrlFP0hxdn6MqBPCGZzW5NVUD5CC2zQXbfoX91bgjeNKdcCT RwyshkKXdTgR+DVQr0EXq1dY6yw1mCOb4hlqjKUCdfaJ3hbMoJYlZkZDQbbhIVL2aU6+gYKhJmgc bJBovl9hQ9Cjz9NQRn5IFdwCwSxIKmZmzJOZz6eAD4+cMuqcy2mFjXub7FpAs96YPWujhh0Ormze djHF81pwCUdQ6eYgTrbwW/ad9F1rFgaHhUX/K6ROiJ5vxrxiRTTPjp5NnAY3Qb2WSWZgvL26RG8w uFcUbXpXzFC50dg6SGv1gaYpXjlduL2fSTaJG54btyE5l/4TbAnJyBdAsVFLgfdbXgK1CqoyX5V0 vsb9zbp2pcxBxyjTR2NvjlkaP78koVuhelPsWfF9GYQ70cCmsK0Iy2Sn15H9mkxbjf9HOWJ+r27H FHabIU3s7NRTYl+NGWQDTuYEnDxJiiRwGNGl7yBlzVmPM3hTeTaMsM9MjUKDEvWpGMz3BrY9ZHAL 0o540LOBT8I51Se26LWnKqXTskJ/NMJUhz1hDrXWUM/fo3CJsuWysg9kkAVOcVIkitpqDeLt9UKm odPpCE8fHRsV4l4MtOkj1StBm8rBICLX8ArhYYPD4hWeHE9kw1QEQOiHcuL42AOwwVbVG/7+z2qs ET/lvT2SKTk89LzsdTRxrOtsTrVQUtX+xwOQgHhqnjtwoqEtoD8G1FmP0z8NSs1rstRrPAS5MJbX 7xSgxnRGcTOERyEmo6P74Kw+E2V5icGp2fCN67HRTcwuy3pBtaaTLMhqYip1zSMKIFqWlKYPNu/m bkN6M7/bQxlkT9uFW4MHG/nlOF4jPWxxqOiY0sHxdIicapSCIFhmwma7fo82mFqctIjyVUpwQecE Jnrk4BXC1kgeizxBlgT0BOBmjQyTo+FKLX8iZQF699VqDUTMM7PUAUbwLPuZVAEANyAzeuK/eM9q SkqtEMqqwe+conN4ZffvfkDDLN+kcuTwQ/PckCDXUr0WNtr5ftyczZCHAdNMLuww0P3cJ7XqgQ03 /N5jdIfnn6VO8Xe7k+cokhWK7StU1VKlM5vTRL7zNSTwR/xhrXRwPy2tLJNqhBPFyTuUUoBgn60h TRNqI5Q9D4BGnkeP2JKJSvI/Fqx4f0yeOtJEUBZeguqQSRKox6teJUnULFMJpK35igycbNqL4Mz1 7zrYaUCyEQfSAillsmN9dgYnDR/Yr62/Q0PHExWQQVoZMAcblFQHRpMpWtzIvBcN5ebF+QRv399h ty9xc3mN9bqHt69fS8f8z75+DCewh7Tb7eEOTtHd3+Lrx1/g3c0GswHRynxQn8cG6Y2CFn727BQV TtWboWkEykzegMbw/7hv1Uwo77HiNSaH/9sY+w3Ewkathr+zIGdN3RJ5BdnG87X7nTbW6wSVTxjC D5eFD7xEnnK/j4oXCTVLPwMrqO77Cp+f8L3F7IzlQ4zDbo5JWKDDaWXpSFrH9brGTJeXn/HijLNl lJZGgXG93ihrIt7JUPileimNia3DoFbzypjJNCULH36jeGHOy6YprrI9r3XGicWpyb+i7sjGikhv mqEWcEuShQmV8WXOQCAvsy+WQo11lsxZxeEzPJVADDVuihOlQchNZLg4n1JALoUROe3zkBYx/BYd cBhw641VZzMNEt1Q7T5aThcnY5taHbIcuZcIA8RgHfnEBxldyU5SZm0t9MpruLSTZxlCs1g2mFk2 Z7k2l+S+RaFhNLUSeTSaWoCsXWZMVrml5n9DGeI94ga/vblU2U34y27xGu3Bl/fO3p9epAC53Zm8 OJe33yLbvEWH4MvJxDwdRXSuRE+ygYCVecYXNBK4cFsEbfOQqtcNDykKAUrvnoMhTjZlX99GKzMq TaOyasoIDEotiQky+BEzRVXSRnGDa6ORUa5cYg47uLu5FErf1DispOVgYDo7Nl/Kwx77JEXOKqAe DHB9JtutBbDioDKbw7BGEJHDC3E2ObAoUkFE+DzIKWxTQbZjQde/vVspdSQWi4jli6s7/M2fvcDF IsHg8S8wv3qDzWaH6cR0qImrWs73GA1p0xPKq+4ff/sdHh8NdLM+TUbYbFNW4LfUPOTf5ylPUbuR dYz5IFA9oN2bqNXIAwt/wg2lTKaeNnGiwOYj63FShDJzUsnKCqe9WhiMpWwrwLjnqMH/YypUP5pN kdWe3QDVD5meNtiPTxanC/z8yxny5AZB18P0EX3fDFfExX5xt8HGGeLyu3fY72K0+lN0CNx2Q7Sc LbLdAs+enGhc+3Lp4yjkWNwgEA12xmR27H6IfsSFzJ6QiODWj1KZWBuZMtvigtQiCDjxqqWDdeKa uYIE+SQv3MWB7qPE4/F10w2yw17rphuOhIvLqxR5bNlFVu30OTgcsP4Ly4OheORJukUVWIATnsnl 87QTVhpahQVT/p4UQmvtJX4+YbPYZypD7ChTXa1sxM6mvUPhOIrzMTOwdoGmXpWHVfAYw1aAfnUN Mju4aVIKzLnMEAq9B9/roU9GWZZBHfQPWC3vlL1wvZ9I3NGFW9nnI65KxGWWNXW/h8+1NyQB/sf7 pQJj9iaIev8BwH/Au9/8X+ikhGAYgJgTZKMnkbfHg8NKVFUULMkFKmUfkdmkjxkHQy61ywwhT7zX Js8UXEbD43r6ZkeqdMu4DohIb3Sn4GG/SdCRAUQbCdh7tj6grQc+QNPPYilOjin/nCUrX280nam0 nJ31xF+kqYXgG2FbSH/+d4fu8cQTLuZ6duyN8sBTL267ET5wOqUJioPtZq0/I/KANl9Ev/sMREzV /uXlFim9x8oDbm4o8A+8fvkap4+e4G4VSztJZRL7UgV1YQa43LdQdqfon1Zw/AyXN3NMxwMhw+3h 1+qUNV3FAlSdAdXNcYsPjTrDx2j3+5ilsbeVRSRNNgFMFBSmoIcKUX2aH/dswTRk1mbqqM0Yz3Hg 5wn/sMrnD4WjdUYBO0q//YGfrb8nm4fJdoWbq1d4/nSC6XSAgBZh+ozEExFgW8INA5w8/8vPvpa/ j/H97bVKqeHRGQbe0rh0gnYY9qopaZh5KjBxMwjOYaJzXBRlUsuX1NpVXLBqwNbqoKahVNXwgliv ywYwx9LKZImn4vGgwYgRXSs27Wku63fRH4a4vH1dc8mI0rYMzjB2/LkWuhERzLHBZEriitj4TVHs jYzcCiL9w54cf4aBQVIxCcUAA+tvuRG2eKfvzgmm3W+7n4SiZsExXDpV+w6y1gyR30WnupS3omGb WHaYn5411z2sb1YSzuMGbhREVYayfKNRrR9gRSPU7dqoKLtNDYso1eOiogTH9gRQ+50Bjo4HWKVr 9R7/2Ovkiz9HtvgNPC/WIWdNdutNHTS5LGqupTWx/YLSTm2MOiO47G+SN+lF8IpQ341lO/tWzsHT tJef2cpJ9iO7CoxGFqe8jemJUX89aSdqDdB9XS0JDl60jgIFJutFWX/RmCAMXAFuabrR7eOQcELM pr5Zl3HvUTGXB5Kki25ZRu+RxjEcerHIks56cTI2oUTyINCYgEGLDXcvsGya0kOYz9fiy202e3z1 7BRPH5+g8LrwBksMjp9ge/sed2uOb9vKbjK0cHGdY3ZGiY9AP7O4fosDm29ZYQGrnlIo2DiF7K4+ zV7uwagKUA99qg8zLsl/fECA1AOrIQ5MjktKgvBm0rOsbpob8veDny9KxKl5CVLyhj2KP8XnjS+Z 5wd0h5+XhFEvr+4HyK6bWQwVCNoRhudn6A+pZlnj2ai9JIeYErNJDytqCRH6QOWHT+4TS4wwMv2u g6ACS4ReT7gkw5ux7DRzB250ir6xJOJomn8etqvaF4/jYePMSSuKWUzt1swpkLEabJEZL6+WAia/ NGMGS3wSs1wyHThJ5oid3n9DBRbe+2FvWhtCxCqdh/2ZnE80It9TFbSP6GBGo+oysnQkPICcTGpL HfYyPe12huiFI72nLOO2MdyD8QuTw0q9Kn4QQiN4fzlBFRwg6GPhP5fXZeDFakd3cQenImSA5XFy T6nhRmxO9my/R3d6ZBCGWvVB/MOyNIAlMx021PV8M9mdGZ/PhO3Uc6OGKZ3EKXKXxFhefYfT/sMk +A9dfjhAMfgl0ph8WZb7a6zuVgL/ioITG3i2R6lv39ykV9sbXM2/1750ApoLB9KxYjVDORlaxLfD A5ab6/oAN219lbYNUJS67mkiXN300RSb9QKb6zsdXAIJd9hvsgDKw5qJy54Bhn0lugf1RpiOhriZ z5FtFljGLJPb9zuMAwASrmW55pKi18NykWG1XuLk8LguuQP0oglGvWOVtLQKI8f2y+dfScFB/S32 DbkJf/f2DuHoBG46x6rsynqeH2z26LlKxWg0xZzd/9RKu8z30Z+14QQPQMewO0Dht7AmQzulOwwD SiE5ZRvdfhiMPhcsPm9jZB6HD810FnjspDjMBChb4gIDOu7UcAcFOCYfdbOTVJKrxQ53MU+ViG57 +FMvLpoRXU8+o/jAz87AwrGwpke15lF/PNWfXd8miIYTuAxKB3qwUQed9I4W2u0WWm6K94sbFNFU voE/dPEcZT+Or82BvVeZINqD/55lTY3qAfsuKrV4SueG2uamb2RbeKo12upCqtckqftSU3gbblQG LAJESGjuIfS6GhZQYYD9IEnIMEOpS41DmRsIlE1W12RFCNBkEGUpaE4z1j/zQ2Kw2E8C8orSuhX2 GRHwDGbElNlUSRutrBUuQ3N/ZkAhxcoUHHzcLhdoVS8FaPajCH1vDb8i1+4hEDdSNZxSNTrlRGCz 7GRAE5si5NApMCNY6VX5gjQYVGCPcl3e97z07ySRCsNodmr69SkR8y3k8R3cVl89qz/mYhnIf2Qm sdugJC8kTHB59xZnwyH8lu2lXbLEYW9Nc+0NJgbpDuu4lAQMS3NNV9kDPXCQ0FZDn9kKPz+b63IN IqJefEtrFUicUIcs+0u5Ao1NJWsVUP4ce3x63gyODkYRoQkFQpfHlClDMOjv073KVutFLXB8cq73 ZHXUjvo6NA9ND4tmL44NC5jV8R8JAyq7TrGL9w/iocNeiMmkjWUZoE3Cp0TL7nC5fI/jL3+hFywo rFUjsT9nXECJYfAfCdOlyIjcKlKsFimCcoXpeCjF0ftvff9fDbq37rI3k74aItA0XJsJCW8bG+kM VuJZqYY33zsFlRpjpLHzocQiLgRIPdBEIOigW+W4osUXRfz+hOuHbbyM+2UTM8tMPuxmcXy/q3r0 HUGppmSFiZ/A7/hY7zKdWOBp1yyMz1zKkJbvET6hhbyl13wPLjo+YG5am4BZn8KQ0VRW2FuzVlLE aZ1dGQ9STe6aaNvIJfPvEipPUIqmsN5M6BOXx0YtiefW65IuuiRG7Ltz8THbGAyGCNnYJnwhKZAi wcG3El00HT1f0/umHRcb+sQWybuvMtQ3G/78fiwV5CXIPonQ4cZrbVDSjWO0CUlWSLZzDOnaXVXo eHR5YuptDjzMfNmPk7iemru2Wbgp9YyklJDZBEsZMxkdpmXesAJ0GJHus49NgwpQsLu8eGd0H/Z2 +HvFAb2owO72HxEOXqA9fPKTJISkL0etNmpRFRmCYR9uj/ipV9inJiXEHpH02YSRMrVPml+wgGMR z89ImhF5iJp+cgoYdUTf4f0UPWa7RVx7EmZZeN/f1PetaO3Vqb0mObWrcH11oYOLfD/uNfp7VoR/ SOSVa4pVhJH0+buNrBIPT+1V9TPZ/+5gt12o5FOPVL1XUx3lc+UBwf/WviJCfhdrnWr3nU0HuLm9 xJePLH2l0wcb7YtrM1VlSPGi4e9RR1Sj7uPfUzkwe3KOi9tIigxZ1cd+d4C/3qMbhej4hg8SKE5w BL3aPZXDRrg1NEHZ1YMSpBS+a6yMTU2axuaDiN/7+Q63yxjpfovecIJOFCIFF5KPPt1kFQz/v734 vtvVXOC7hhf40QJskMss/TbXmJLG5HuIkxx3Kc0rToC2IyndH7pInzrqU1qEp6yHOE5ReG3M1xn2 +zUG3TbOJqGwUeJASzCNYM2WGscNTIEBrTm92KvwOtZnYdDgJQXWlq+NUXoZXMekW5gVUbzPel7Z vasLA5w1gp1as9sOmHbYU5YRx3vpgzMgCYdUWWC8N/cgMFPlPSElpnFBZyVmOpwc0S1aWCf2Mrxa O16TJcsE2NNJyBHkxpZTi03ApLLBjUv/QmnM2+8RxMterfqg8lRkwDetcjbX6R/YZBCN72Ejxc2M iuYT3GjM8I6OT8Xhu7q8EMaMTk48mLfMLjwSqVNky1+jIKxk+EzYw596MTvrDY6x2m8whEFulCEz aMVbYcTSPSWpTX/eoC7s9RZI13NEkyN4akOQFhTdZ1BE/tOjkDQcgcM51KizVe6Qk9NHNarfpH84 xGGw5kCCWZkqHjbXiwrjbtt8Gwj6pWt1vBNomH1Efi7KzxiZvUJn1NP6IMiVZSfhIwbytn4noS6S lKpjgJr2+QFbZuN8MoNBH9+vfcy3GU4nXVvYnTE600do53fq3L9am13Sh1eQ3CIoMxQ/YFWlxrtE vepeUtDFSiDUBG0v+2DMXtNu6oyh/mXDW8qFpUasK3N9sJd6CAXWdL28WeBuD7THp+gcH6NTO+7Q 2k6CNIRTcAPnc+T4t0kTf3gx5XUlMOihchLkNCrtzz4Rx2s+p3yEJL3caveQx4XoM/4fsZAXV+/Q HrXxL683olGZykQP/tBFbyBlcNyt3+NsZuqgGnsThxOGGs+bUQPlpW0Ub1NFGznLc64yNVdNY1lW 8zBg9uITLkF1WD4Lisk9yBebEJs9j8XCOG+6xzqhbQoIiScaqVVKk1LZsL4MpWXE8+TrBRRINIsw 09AyfSduIGYLvBRk6t/l9+A/1OOXdbwbotOPUKQx+r2B0UfUd6KqqR2Qwqapkc0N8YAP4kbhxK/f 699DMgSpkHO0gVC50ekzeHd7bXCNqlR28/7ijTZ0Z0rNeKOMyQ2bhiPc1PkOZfoOZT5GJcmdn94/ 9cnX2H+HPDCzjqZZzouBh4GGmfBgZHAAPhgaAFH5NGGwrktqPpdNuhLlhr8/Go0NA1erQxCaxNfj 2un2Tf6I1Qx9KOWTSKVUDmw4jZQ2HoOLSYxXNKKop4rM5jiIMCehliEI6EfIwyWJBQ35fweqiEDj VT++PYPI/f4FnoGENIBAy4pAcQ9ZjwiqwEDj3AAF/klnOTtGUAAAAABJRU5ErkJggg==