20140619 09415400 1.0 FALSE CalculateField Encumbrances Encumbrance [Name] VB # CalculateField Encumbrances Encumbrance [Name] VB # CalculateField Encumbrances Encumbrance [Name] VB # CopyFeatures "GISData.DBO.newParcels\Tax Parcels" \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online # 0 0 0 DeleteField \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online Joined;PlanID;Compiled;LegalStartDate;LegalEndDate;GroupID;Accuracy;Rotation;Scale;Unclosed;MiscloseRatio;MiscloseDistance;MiscloseBearing;Construction;ShapeStdErrorE;ShapeStdErrorN;BacksightBearing;ConstructionData AddField \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online PIN_NO_DASHES TEXT # # 20 # NULLABLE NON_REQUIRED # AddField \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online Acreage DOUBLE 18 3 # # NULLABLE NON_REQUIRED # AddField \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online Calculated_Acreage DOUBLE 18 3 # # NULLABLE NON_REQUIRED # AddField \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online Location_Address TEXT # # 75 # NULLABLE NON_REQUIRED # AddField \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online Owner_Name TEXT # # 250 # NULLABLE NON_REQUIRED # AddField \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online Owner_Address TEXT # # 100 # NULLABLE NON_REQUIRED # AddField \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online Owner_City TEXT # # 50 # NULLABLE NON_REQUIRED # AddField \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online Tax_Name TEXT # # 250 # NULLABLE NON_REQUIRED # AddField \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online Tax_Address TEXT # # 100 # NULLABLE NON_REQUIRED # AddField \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online Tax_City TEXT # # 50 # NULLABLE NON_REQUIRED # AddField \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online Landuse_Code TEXT # # 5 # NULLABLE NON_REQUIRED # AddField \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online Landuse_Class TEXT # # 5 # NULLABLE NON_REQUIRED # AddField \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online Neighborhood_Code TEXT # # 10 # NULLABLE NON_REQUIRED # AddField \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online Book_Page TEXT # # 20 # NULLABLE NON_REQUIRED # AddField \\172.16.33.100\e\Connection.to.GIS2SQL.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online Auditor_Link TEXT # # 150 # NULLABLE NON_REQUIRED # CalculateField C:\ParcelExport\Scripts\GIS2SQL_GISData.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online jur calcJurisdiction(!PIN!) PYTHON_9.3 "\ndef calcJurisdiction(pin):\n if pin[:2] == '01' or pin[:2] == '02':\n return 'Andover Township'\n elif pin[:2] == '03' or pin[:2] == '04':\n return 'Ashtabula Township'\n elif pin[:2] == '05' or pin[:2] == '06':\n return 'Ashtabula City'\n elif pin[:2] == '07' or pin[:2] == '08':\n return 'Austinburg Township'\n elif pin[:2] == '09':\n return 'Cherry Valley Township'\n elif pin[:2] == '010':\n return 'Colebrook Township'\n elif pin[:2] == '12':\n return 'Conneaut City'\n elif pin[:2] == '14' or pin[:2] == '15':\n return 'Denmark Township'\n elif pin[:2] == '16':\n return 'Dorset Township'\n elif pin[:2] == '17':\n return 'Geneva Township'\n elif pin[:2] == '20':\n return 'Geneva City'\n elif pin[:2] == '21':\n return 'Geneva-on-the-Lake Village'\n elif pin[:2] == '22':\n return 'Harpersfield Township'\n elif pin[:2] == '24':\n return 'Hartsgrove Township'\n elif pin[:2] == '25':\n return 'Jefferson Township'\n elif pin[:2] == '26':\n return 'Jefferson Village'\n elif pin[:2] == '27':\n return 'Kingsville Township'\n elif pin[:2] == '28':\n return 'North Kingsville Village'\n elif pin[:2] == '29' or pin[:2] == '30':\n return 'Denmark Township'\n elif pin[:2] == '31' or pin[:2] == '32':\n return 'Monroe Township'\n elif pin[:2] == '33' or pin[:2] == '34':\n return 'Morgan Township'\n elif pin[:2] == '35':\n return 'Rock Creek Village'\n elif pin[:2] == '36' or pin[:2] == '37':\n return 'New Lyme Township'\n elif pin[:2] == '38':\n return 'Orwell Township'\n elif pin[:2] == '39':\n return 'Orwell Village'\n elif pin[:2] == '40':\n return 'Pierpont Township'\n elif pin[:2] == '42' or pin[:2] == '43':\n return 'Plymouth Township'\n elif pin[:2] == '45':\n return 'Richmond Township'\n elif pin[:2] == '46' or pin[:2] == '47':\n return 'Rome Township'\n elif pin[:2] == '48':\n return 'Saybrook Township'\n elif pin[:2] == '49' or pin[:2] == '50':\n return 'Ashtabula City'\n elif pin[:2] == '51':\n return 'Saybrook Township'\n elif pin[:2] == '52' or pin[:2] == '53' or pin[:2] == '54' or pin[:2] == '55':\n return 'Sheffield Township'\n elif pin[:2] == '57' or pin[:2] == '58':\n return 'Trumbull Township'\n elif pin[:2] == '59':\n return 'Wayne Township'\n elif pin[:2] == '60':\n return 'Williamsfield Township'\n elif pin[:2] == '61':\n return 'Windsor Township'\n elif pin[:2] == '62':\n return 'New Lyme Township'\n elif pin[:2] == '63':\n return 'Plymouth Township'\n elif pin[:2] == '64':\n return 'Kingsville Township'\n elif pin[:2] == '65' or pin[:2] == '66' or pin[:2] == '67':\n return 'Roaming Shores Village'\n elif pin[:2] == '68':\n return 'Ashtabula City'\n elif pin[:2] == '71':\n return 'Saybrook Township'\n # Add additional conditions here for other jurisdictions\n else:\n return 'NA'\n" CalculateField C:\ParcelExport\Scripts\GIS2SQL_GISData.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online jur calcJurisdiction(!PIN!) PYTHON_9.3 "\ndef calcJurisdiction(pin):\n if pin[:2] == '01' or pin[:2] == '02':\n return 'Andover Township'\n elif pin[:2] == '03' or pin[:2] == '04':\n return 'Ashtabula Township'\n elif pin[:2] == '05' or pin[:2] == '06':\n return 'Ashtabula City'\n elif pin[:2] == '07' or pin[:2] == '08':\n return 'Austinburg Township'\n elif pin[:2] == '09':\n return 'Cherry Valley Township'\n elif pin[:2] == '010':\n return 'Colebrook Township'\n elif pin[:2] == '12':\n return 'Conneaut City'\n elif pin[:2] == '14' or pin[:2] == '15':\n return 'Denmark Township'\n elif pin[:2] == '16':\n return 'Dorset Township'\n elif pin[:2] == '17':\n return 'Geneva Township'\n elif pin[:2] == '20':\n return 'Geneva City'\n elif pin[:2] == '21':\n return 'Geneva-on-the-Lake Village'\n elif pin[:2] == '22':\n return 'Harpersfield Township'\n elif pin[:2] == '24':\n return 'Hartsgrove Township'\n elif pin[:2] == '25':\n return 'Jefferson Township'\n elif pin[:2] == '26':\n return 'Jefferson Village'\n elif pin[:2] == '27':\n return 'Kingsville Township'\n elif pin[:2] == '28':\n return 'North Kingsville Village'\n elif pin[:2] == '29' or pin[:2] == '30':\n return 'Denmark Township'\n elif pin[:2] == '31' or pin[:2] == '32':\n return 'Monroe Township'\n elif pin[:2] == '33' or pin[:2] == '34':\n return 'Morgan Township'\n elif pin[:2] == '35':\n return 'Rock Creek Village'\n elif pin[:2] == '36' or pin[:2] == '37':\n return 'New Lyme Township'\n elif pin[:2] == '38':\n return 'Orwell Township'\n elif pin[:2] == '39':\n return 'Orwell Village'\n elif pin[:2] == '40':\n return 'Pierpont Township'\n elif pin[:2] == '42' or pin[:2] == '43':\n return 'Plymouth Township'\n elif pin[:2] == '45':\n return 'Richmond Township'\n elif pin[:2] == '46' or pin[:2] == '47':\n return 'Rome Township'\n elif pin[:2] == '48':\n return 'Saybrook Township'\n elif pin[:2] == '49' or pin[:2] == '50':\n return 'Ashtabula City'\n elif pin[:2] == '51':\n return 'Saybrook Township'\n elif pin[:2] == '52' or pin[:2] == '53' or pin[:2] == '54' or pin[:2] == '55':\n return 'Sheffield Township'\n elif pin[:2] == '57' or pin[:2] == '58':\n return 'Trumbull Township'\n elif pin[:2] == '59':\n return 'Wayne Township'\n elif pin[:2] == '60':\n return 'Williamsfield Township'\n elif pin[:2] == '61':\n return 'Windsor Township'\n elif pin[:2] == '62':\n return 'New Lyme Township'\n elif pin[:2] == '63':\n return 'Plymouth Township'\n elif pin[:2] == '64':\n return 'Kingsville Township'\n elif pin[:2] == '65' or pin[:2] == '66' or pin[:2] == '67':\n return 'Roaming Shores Village'\n elif pin[:2] == '68':\n return 'Ashtabula City'\n elif pin[:2] == '71':\n return 'Saybrook Township'\n # Add additional conditions here for other jurisdictions\n else:\n return 'NA'\n" CalculateField C:\ParcelExport\Scripts\GIS2SQL_GISData.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online jur calcJurisdiction(!PIN!) PYTHON_9.3 "\ndef calcJurisdiction(pin):\n if pin[:2] == '01' or pin[:2] == '02':\n return 'Andover Township'\n elif pin[:2] == '03' or pin[:2] == '04':\n return 'Ashtabula Township'\n elif pin[:2] == '05' or pin[:2] == '06':\n return 'Ashtabula City'\n elif pin[:2] == '07' or pin[:2] == '08':\n return 'Austinburg Township'\n elif pin[:2] == '09':\n return 'Cherry Valley Township'\n elif pin[:2] == '010':\n return 'Colebrook Township'\n elif pin[:2] == '12':\n return 'Conneaut City'\n elif pin[:2] == '14' or pin[:2] == '15':\n return 'Denmark Township'\n elif pin[:2] == '16':\n return 'Dorset Township'\n elif pin[:2] == '17':\n return 'Geneva Township'\n elif pin[:2] == '20':\n return 'Geneva City'\n elif pin[:2] == '21':\n return 'Geneva-on-the-Lake Village'\n elif pin[:2] == '22':\n return 'Harpersfield Township'\n elif pin[:2] == '24':\n return 'Hartsgrove Township'\n elif pin[:2] == '25':\n return 'Jefferson Township'\n elif pin[:2] == '26':\n return 'Jefferson Village'\n elif pin[:2] == '27':\n return 'Kingsville Township'\n elif pin[:2] == '28':\n return 'North Kingsville Village'\n elif pin[:2] == '29' or pin[:2] == '30':\n return 'Denmark Township'\n elif pin[:2] == '31' or pin[:2] == '32':\n return 'Monroe Township'\n elif pin[:2] == '33' or pin[:2] == '34':\n return 'Morgan Township'\n elif pin[:2] == '35':\n return 'Rock Creek Village'\n elif pin[:2] == '36' or pin[:2] == '37':\n return 'New Lyme Township'\n elif pin[:2] == '38':\n return 'Orwell Township'\n elif pin[:2] == '39':\n return 'Orwell Village'\n elif pin[:2] == '40':\n return 'Pierpont Township'\n elif pin[:2] == '42' or pin[:2] == '43':\n return 'Plymouth Township'\n elif pin[:2] == '45':\n return 'Richmond Township'\n elif pin[:2] == '46' or pin[:2] == '47':\n return 'Rome Township'\n elif pin[:2] == '48':\n return 'Saybrook Township'\n elif pin[:2] == '49' or pin[:2] == '50':\n return 'Ashtabula City'\n elif pin[:2] == '51':\n return 'Saybrook Township'\n elif pin[:2] == '52' or pin[:2] == '53' or pin[:2] == '54' or pin[:2] == '55':\n return 'Sheffield Township'\n elif pin[:2] == '57' or pin[:2] == '58':\n return 'Trumbull Township'\n elif pin[:2] == '59':\n return 'Wayne Township'\n elif pin[:2] == '60':\n return 'Williamsfield Township'\n elif pin[:2] == '61':\n return 'Windsor Township'\n elif pin[:2] == '62':\n return 'New Lyme Township'\n elif pin[:2] == '63':\n return 'Plymouth Township'\n elif pin[:2] == '64':\n return 'Kingsville Township'\n elif pin[:2] == '65' or pin[:2] == '66' or pin[:2] == '67':\n return 'Roaming Shores Village'\n elif pin[:2] == '68':\n return 'Ashtabula City'\n elif pin[:2] == '71':\n return 'Saybrook Township'\n # Add additional conditions here for other jurisdictions\n else:\n return 'NA'\n" CalculateField C:\ParcelExport\Scripts\GIS2SQL_GISData.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online jur calcJurisdiction(!PIN!) PYTHON_9.3 "\ndef calcJurisdiction(pin):\n if pin[:2] == '01' or pin[:2] == '02':\n return 'Andover Township'\n elif pin[:2] == '03' or pin[:2] == '04':\n return 'Ashtabula Township'\n elif pin[:2] == '05' or pin[:2] == '06':\n return 'Ashtabula City'\n elif pin[:2] == '07' or pin[:2] == '08':\n return 'Austinburg Township'\n elif pin[:2] == '09':\n return 'Cherry Valley Township'\n elif pin[:2] == '010':\n return 'Colebrook Township'\n elif pin[:2] == '12':\n return 'Conneaut City'\n elif pin[:2] == '14' or pin[:2] == '15':\n return 'Denmark Township'\n elif pin[:2] == '16':\n return 'Dorset Township'\n elif pin[:2] == '17':\n return 'Geneva Township'\n elif pin[:2] == '20':\n return 'Geneva City'\n elif pin[:2] == '21':\n return 'Geneva-on-the-Lake Village'\n elif pin[:2] == '22':\n return 'Harpersfield Township'\n elif pin[:2] == '24':\n return 'Hartsgrove Township'\n elif pin[:2] == '25':\n return 'Jefferson Township'\n elif pin[:2] == '26':\n return 'Jefferson Village'\n elif pin[:2] == '27':\n return 'Kingsville Township'\n elif pin[:2] == '28':\n return 'North Kingsville Village'\n elif pin[:2] == '29' or pin[:2] == '30':\n return 'Denmark Township'\n elif pin[:2] == '31' or pin[:2] == '32':\n return 'Monroe Township'\n elif pin[:2] == '33' or pin[:2] == '34':\n return 'Morgan Township'\n elif pin[:2] == '35':\n return 'Rock Creek Village'\n elif pin[:2] == '36' or pin[:2] == '37':\n return 'New Lyme Township'\n elif pin[:2] == '38':\n return 'Orwell Township'\n elif pin[:2] == '39':\n return 'Orwell Village'\n elif pin[:2] == '40':\n return 'Pierpont Township'\n elif pin[:2] == '42' or pin[:2] == '43':\n return 'Plymouth Township'\n elif pin[:2] == '45':\n return 'Richmond Township'\n elif pin[:2] == '46' or pin[:2] == '47':\n return 'Rome Township'\n elif pin[:2] == '48':\n return 'Saybrook Township'\n elif pin[:2] == '49' or pin[:2] == '50':\n return 'Ashtabula City'\n elif pin[:2] == '51':\n return 'Saybrook Township'\n elif pin[:2] == '52' or pin[:2] == '53' or pin[:2] == '54' or pin[:2] == '55':\n return 'Sheffield Township'\n elif pin[:2] == '57' or pin[:2] == '58':\n return 'Trumbull Township'\n elif pin[:2] == '59':\n return 'Wayne Township'\n elif pin[:2] == '60':\n return 'Williamsfield Township'\n elif pin[:2] == '61':\n return 'Windsor Township'\n elif pin[:2] == '62':\n return 'New Lyme Township'\n elif pin[:2] == '63':\n return 'Plymouth Township'\n elif pin[:2] == '64':\n return 'Kingsville Township'\n elif pin[:2] == '65' or pin[:2] == '66' or pin[:2] == '67':\n return 'Roaming Shores Village'\n elif pin[:2] == '68':\n return 'Ashtabula City'\n elif pin[:2] == '71':\n return 'Saybrook Township'\n # Add additional conditions here for other jurisdictions\n else:\n return 'NA'\n" CalculateField C:\ParcelExport\Scripts\GIS2SQL_GISData.sde\GISData.DBO.OnlineLayers\GISData.DBO.Parcels_Online jur calcJurisdiction(!PIN!) PYTHON_9.3 "\ndef calcJurisdiction(pin):\n if pin[:2] == '01' or pin[:2] == '02':\n return 'Andover Township'\n elif pin[:2] == '03' or pin[:2] == '04':\n return 'Ashtabula Township'\n elif pin[:2] == '05' or pin[:2] == '06':\n return 'Ashtabula City'\n elif pin[:2] == '07' or pin[:2] == '08':\n return 'Austinburg Township'\n elif pin[:2] == '09':\n return 'Cherry Valley Township'\n elif pin[:2] == '010':\n return 'Colebrook Township'\n elif pin[:2] == '12':\n return 'Conneaut City'\n elif pin[:2] == '14' or pin[:2] == '15':\n return 'Denmark Township'\n elif pin[:2] == '16':\n return 'Dorset Township'\n elif pin[:2] == '17':\n return 'Geneva Township'\n elif pin[:2] == '20':\n return 'Geneva City'\n elif pin[:2] == '21':\n return 'Geneva-on-the-Lake Village'\n elif pin[:2] == '22':\n return 'Harpersfield Township'\n elif pin[:2] == '24':\n return 'Hartsgrove Township'\n elif pin[:2] == '25':\n return 'Jefferson Township'\n elif pin[:2] == '26':\n return 'Jefferson Village'\n elif pin[:2] == '27':\n return 'Kingsville Township'\n elif pin[:2] == '28':\n return 'North Kingsville Village'\n elif pin[:2] == '29' or pin[:2] == '30':\n return 'Denmark Township'\n elif pin[:2] == '31' or pin[:2] == '32':\n return 'Monroe Township'\n elif pin[:2] == '33' or pin[:2] == '34':\n return 'Morgan Township'\n elif pin[:2] == '35':\n return 'Rock Creek Village'\n elif pin[:2] == '36' or pin[:2] == '37':\n return 'New Lyme Township'\n elif pin[:2] == '38':\n return 'Orwell Township'\n elif pin[:2] == '39':\n return 'Orwell Village'\n elif pin[:2] == '40':\n return 'Pierpont Township'\n elif pin[:2] == '42' or pin[:2] == '43':\n return 'Plymouth Township'\n elif pin[:2] == '45':\n return 'Richmond Township'\n elif pin[:2] == '46' or pin[:2] == '47':\n return 'Rome Township'\n elif pin[:2] == '48':\n return 'Saybrook Township'\n elif pin[:2] == '49' or pin[:2] == '50':\n return 'Ashtabula City'\n elif pin[:2] == '51':\n return 'Saybrook Township'\n elif pin[:2] == '52' or pin[:2] == '53' or pin[:2] == '54' or pin[:2] == '55':\n return 'Sheffield Township'\n elif pin[:2] == '57' or pin[:2] == '58':\n return 'Trumbull Township'\n elif pin[:2] == '59':\n return 'Wayne Township'\n elif pin[:2] == '60':\n return 'Williamsfield Township'\n elif pin[:2] == '61':\n return 'Windsor Township'\n elif pin[:2] == '62':\n return 'New Lyme Township'\n elif pin[:2] == '63':\n return 'Plymouth Township'\n elif pin[:2] == '64':\n return 'Kingsville Township'\n elif pin[:2] == '65' or pin[:2] == '66' or pin[:2] == '67':\n return 'Roaming Shores Village'\n elif pin[:2] == '68':\n return 'Ashtabula City'\n elif pin[:2] == '71':\n return 'Saybrook Township'\n # Add additional conditions here for other jurisdictions\n else:\n return 'NA'\n" ExportFeatures GISData.DBO.Parcels_Online "Y:\Auditor\Mailing Addresses\Mailing Addresses Update\Mailing_Address.gdb\Parcels_March2024" # NOT_USE_ALIAS "Name "Parcel Identification Number" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,Name,0,49;Type "Parcel Type" true true false 4 Long 0 10,First,#,GISData.DBO.Parcels_Online,Type,-1,-1;StatedArea "Stated Area" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,StatedArea,0,49;Historical "Historical" true true false 4 Long 0 10,First,#,GISData.DBO.Parcels_Online,Historical,-1,-1;SystemStartDate "System Start Date" true true false 8 Date 0 0,First,#,GISData.DBO.Parcels_Online,SystemStartDate,-1,-1;SystemEndDate "System End Date" true true false 8 Date 0 0,First,#,GISData.DBO.Parcels_Online,SystemEndDate,-1,-1;PIN "PIN" true true false 30 Text 0 0,First,#,GISData.DBO.Parcels_Online,PIN,0,29;ConveyanceType "Sub or Condo Type" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,ConveyanceType,0,49;ConveyanceDesignator "Sub or Condo Number" true true false 10 Text 0 0,First,#,GISData.DBO.Parcels_Online,ConveyanceDesignator,0,9;SimConDivType "Lot or Unit Type" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,SimConDivType,0,49;BlockDesignator "Block Number" true true false 10 Text 0 0,First,#,GISData.DBO.Parcels_Online,BlockDesignator,0,9;EncumbranceType "Encumbrance Type" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,EncumbranceType,0,49;SeparatedRightType "Separated Right Type" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,SeparatedRightType,0,49;HistoryType "Reason Parcel Retired" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,HistoryType,0,49;FloorDesignator "Floor Number" true true false 2 Short 0 5,First,#,GISData.DBO.Parcels_Online,FloorDesignator,-1,-1;PrincipalMeridian "Principal Meridian" true true false 40 Text 0 0,First,#,GISData.DBO.Parcels_Online,PrincipalMeridian,0,39;TownshipNumber "Township Number" true true false 3 Text 0 0,First,#,GISData.DBO.Parcels_Online,TownshipNumber,0,2;TownshipFraction "Township Fraction" true true false 1 Text 0 0,First,#,GISData.DBO.Parcels_Online,TownshipFraction,0,0;TownshipDirection "Township Direction" true true false 1 Text 0 0,First,#,GISData.DBO.Parcels_Online,TownshipDirection,0,0;RangeNumber "Range Number" true true false 3 Text 0 0,First,#,GISData.DBO.Parcels_Online,RangeNumber,0,2;RangeFraction "Range Fraction" true true false 1 Text 0 0,First,#,GISData.DBO.Parcels_Online,RangeFraction,0,0;RangeDirection "Range Direction" true true false 1 Text 0 0,First,#,GISData.DBO.Parcels_Online,RangeDirection,0,0;TownshipDupCode "Duplicate Township" true true false 1 Text 0 0,First,#,GISData.DBO.Parcels_Online,TownshipDupCode,0,0;PLSSID "PLSS Identification Number" true true false 16 Text 0 0,First,#,GISData.DBO.Parcels_Online,PLSSID,0,15;FirstDivisionType "Section Type" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,FirstDivisionType,0,49;FirstDivisionDupCode "Duplicate Section" true true false 1 Text 0 0,First,#,GISData.DBO.Parcels_Online,FirstDivisionDupCode,0,0;SecondDivisionNumber "Quarter Section Number" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,SecondDivisionNumber,0,49;SecondDivisionSuffix "Quarter Section Suffix" true true false 10 Text 0 0,First,#,GISData.DBO.Parcels_Online,SecondDivisionSuffix,0,9;SecondDivisionType "Quarter Section Type" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,SecondDivisionType,0,49;SpecialSurveyNumber "Special Survey Number" true true false 5 Text 0 0,First,#,GISData.DBO.Parcels_Online,SpecialSurveyNumber,0,4;SpecialSurveySuffix "Special Survey Suffix" true true false 5 Text 0 0,First,#,GISData.DBO.Parcels_Online,SpecialSurveySuffix,0,4;SpecialSurveyType "Special Survey Type" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,SpecialSurveyType,0,49;SpecialSurveyNotes "Special Survey Notes" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,SpecialSurveyNotes,0,49;CreatedBy "Created By" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,CreatedBy,0,49;ModifiedBy "Modified By" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,ModifiedBy,0,49;ModifyDate "Modification Date" true true false 8 Date 0 0,First,#,GISData.DBO.Parcels_Online,ModifyDate,-1,-1;Encumbrance "Encumbrance" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,Encumbrance,0,49;Name_Encumbrance "Other" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,Name_Encumbrance,0,49;jur "jur" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,jur,0,49;Grantor "Grantor" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,Grantor,0,49;Granted_To "Granted_To" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,Granted_To,0,49;Use_of "Use_of" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,Use_of,0,49;Vol___Page "Vol___Page" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,Vol___Page,0,49;Date "Date" true true false 8 Date 0 0,First,#,GISData.DBO.Parcels_Online,Date,-1,-1;Survey "Survey" true true false 75 Text 0 0,First,#,GISData.DBO.Parcels_Online,Survey,0,74;Sublot_num "Sublot_num" true true false 2 Short 0 5,First,#,GISData.DBO.Parcels_Online,Sublot_num,-1,-1;UNIT_NUM "UNIT_NUM" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,UNIT_NUM,0,49;FLOOR_NUM "FLOOR_NUM" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,FLOOR_NUM,0,49;SUBLOT_NUMBER "SUBLOT_NUMBER" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,SUBLOT_NUMBER,0,49;PLAT_VOL_PAGE "PLAT_VOL_PAGE" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,PLAT_VOL_PAGE,0,49;DECLAR_VOL_PAGE "DECLAR_VOL_PAGE" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,DECLAR_VOL_PAGE,0,49;PIN_NO_DASHES "PIN_NO_DASHES" true true false 20 Text 0 0,First,#,GISData.DBO.Parcels_Online,PIN_NO_DASHES,0,19;Acreage "Acreage" true true false 8 Double 3 18,First,#,GISData.DBO.Parcels_Online,Acreage,-1,-1;Calculated_Acreage "Calculated_Acreage" true true false 8 Double 3 18,First,#,GISData.DBO.Parcels_Online,Calculated_Acreage,-1,-1;Location_Address "Location_Address" true true false 75 Text 0 0,First,#,GISData.DBO.Parcels_Online,Location_Address,0,74;Owner_Name "Owner_Name" true true false 250 Text 0 0,First,#,GISData.DBO.Parcels_Online,Owner_Name,0,249;Owner_Address "Owner_Address" true true false 100 Text 0 0,First,#,GISData.DBO.Parcels_Online,Owner_Address,0,99;Owner_City "Owner_City" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,Owner_City,0,49;Tax_Name "Tax_Name" true true false 250 Text 0 0,First,#,GISData.DBO.Parcels_Online,Tax_Name,0,249;Tax_Address "Tax_Address" true true false 100 Text 0 0,First,#,GISData.DBO.Parcels_Online,Tax_Address,0,99;Tax_City "Tax_City" true true false 50 Text 0 0,First,#,GISData.DBO.Parcels_Online,Tax_City,0,49;Landuse_Code "Landuse_Code" true true false 5 Text 0 0,First,#,GISData.DBO.Parcels_Online,Landuse_Code,0,4;Landuse_Class "Landuse_Class" true true false 5 Text 0 0,First,#,GISData.DBO.Parcels_Online,Landuse_Class,0,4;Neighborhood_Code "Neighborhood_Code" true true false 10 Text 0 0,First,#,GISData.DBO.Parcels_Online,Neighborhood_Code,0,9;Book_Page "Book_Page" true true false 20 Text 0 0,First,#,GISData.DBO.Parcels_Online,Book_Page,0,19;Auditor_Link "Auditor_Link" true true false 150 Text 0 0,First,#,GISData.DBO.Parcels_Online,Auditor_Link,0,149" # ExportFeatures Parcels_March2024 "Y:\Auditor\Mailing Addresses\Mailing Addresses Update\Mailing_Address.gdb\Tax_Mailing_Parcels_March2024" # NOT_USE_ALIAS "Name "Parcel Identification Number" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Name,0,49;Type "Parcel Type" true true false 4 Long 0 0,First,#,Parcels_March2024,Parcels_March2024.Type,-1,-1;StatedArea "Stated Area" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.StatedArea,0,49;Historical "Historical" true true false 4 Long 0 0,First,#,Parcels_March2024,Parcels_March2024.Historical,-1,-1;SystemStartDate "System Start Date" true true false 8 Date 0 0,First,#,Parcels_March2024,Parcels_March2024.SystemStartDate,-1,-1;SystemEndDate "System End Date" true true false 8 Date 0 0,First,#,Parcels_March2024,Parcels_March2024.SystemEndDate,-1,-1;PIN "PIN" true true false 30 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.PIN,0,29;ConveyanceType "Sub or Condo Type" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.ConveyanceType,0,49;ConveyanceDesignator "Sub or Condo Number" true true false 10 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.ConveyanceDesignator,0,9;SimConDivType "Lot or Unit Type" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.SimConDivType,0,49;BlockDesignator "Block Number" true true false 10 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.BlockDesignator,0,9;EncumbranceType "Encumbrance Type" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.EncumbranceType,0,49;SeparatedRightType "Separated Right Type" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.SeparatedRightType,0,49;HistoryType "Reason Parcel Retired" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.HistoryType,0,49;FloorDesignator "Floor Number" true true false 2 Short 0 0,First,#,Parcels_March2024,Parcels_March2024.FloorDesignator,-1,-1;PrincipalMeridian "Principal Meridian" true true false 40 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.PrincipalMeridian,0,39;TownshipNumber "Township Number" true true false 3 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.TownshipNumber,0,2;TownshipFraction "Township Fraction" true true false 1 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.TownshipFraction,0,0;TownshipDirection "Township Direction" true true false 1 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.TownshipDirection,0,0;RangeNumber "Range Number" true true false 3 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.RangeNumber,0,2;RangeFraction "Range Fraction" true true false 1 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.RangeFraction,0,0;RangeDirection "Range Direction" true true false 1 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.RangeDirection,0,0;TownshipDupCode "Duplicate Township" true true false 1 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.TownshipDupCode,0,0;PLSSID "PLSS Identification Number" true true false 16 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.PLSSID,0,15;FirstDivisionType "Section Type" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.FirstDivisionType,0,49;FirstDivisionDupCode "Duplicate Section" true true false 1 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.FirstDivisionDupCode,0,0;SecondDivisionNumber "Quarter Section Number" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.SecondDivisionNumber,0,49;SecondDivisionSuffix "Quarter Section Suffix" true true false 10 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.SecondDivisionSuffix,0,9;SecondDivisionType "Quarter Section Type" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.SecondDivisionType,0,49;SpecialSurveyNumber "Special Survey Number" true true false 5 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.SpecialSurveyNumber,0,4;SpecialSurveySuffix "Special Survey Suffix" true true false 5 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.SpecialSurveySuffix,0,4;SpecialSurveyType "Special Survey Type" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.SpecialSurveyType,0,49;SpecialSurveyNotes "Special Survey Notes" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.SpecialSurveyNotes,0,49;CreatedBy "Created By" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.CreatedBy,0,49;ModifiedBy "Modified By" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.ModifiedBy,0,49;ModifyDate "Modification Date" true true false 8 Date 0 0,First,#,Parcels_March2024,Parcels_March2024.ModifyDate,-1,-1;Encumbrance "Encumbrance" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Encumbrance,0,49;Name_Encumbrance "Other" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Name_Encumbrance,0,49;jur "jur" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.jur,0,49;Grantor "Grantor" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Grantor,0,49;Granted_To "Granted_To" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Granted_To,0,49;Use_of "Use_of" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Use_of,0,49;Vol___Page "Vol___Page" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Vol___Page,0,49;Date "Date" true true false 8 Date 0 0,First,#,Parcels_March2024,Parcels_March2024.Date,-1,-1;Survey "Survey" true true false 75 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Survey,0,74;Sublot_num "Sublot_num" true true false 2 Short 0 0,First,#,Parcels_March2024,Parcels_March2024.Sublot_num,-1,-1;UNIT_NUM "UNIT_NUM" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.UNIT_NUM,0,49;FLOOR_NUM "FLOOR_NUM" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.FLOOR_NUM,0,49;SUBLOT_NUMBER "SUBLOT_NUMBER" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.SUBLOT_NUMBER,0,49;PLAT_VOL_PAGE "PLAT_VOL_PAGE" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.PLAT_VOL_PAGE,0,49;DECLAR_VOL_PAGE "DECLAR_VOL_PAGE" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.DECLAR_VOL_PAGE,0,49;PIN_NO_DASHES "PIN_NO_DASHES" true true false 20 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.PIN_NO_DASHES,0,19;Acreage "Acreage" true true false 8 Double 0 0,First,#,Parcels_March2024,Parcels_March2024.Acreage,-1,-1;Calculated_Acreage "Calculated_Acreage" true true false 8 Double 0 0,First,#,Parcels_March2024,Parcels_March2024.Calculated_Acreage,-1,-1;Location_Address "Location_Address" true true false 75 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Location_Address,0,74;Owner_Name "Owner_Name" true true false 250 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Owner_Name,0,249;Owner_Address "Owner_Address" true true false 100 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Owner_Address,0,99;Owner_City "Owner_City" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Owner_City,0,49;Tax_Name "Tax_Name" true true false 250 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Tax_Name,0,249;Tax_Address "Tax_Address" true true false 100 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Tax_Address,0,99;Tax_City "Tax_City" true true false 50 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Tax_City,0,49;Landuse_Code "Landuse_Code" true true false 5 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Landuse_Code,0,4;Landuse_Class "Landuse_Class" true true false 5 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Landuse_Class,0,4;Neighborhood_Code "Neighborhood_Code" true true false 10 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Neighborhood_Code,0,9;Book_Page "Book_Page" true true false 20 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Book_Page,0,19;Auditor_Link "Auditor_Link" true true false 150 Text 0 0,First,#,Parcels_March2024,Parcels_March2024.Auditor_Link,0,149;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Parcels_March2024,Parcels_March2024.Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Parcels_March2024,Parcels_March2024.Shape_Area,-1,-1;ID "ID" true true false 8 Double 0 0,First,#,Parcels_March2024,T_Query_Results$_.ID,-1,-1,Parcels_March2024,T_Query_Results$_.ID,-1,-1;MADDR1 "MADDR1" true true false 255 Text 0 0,First,#,Parcels_March2024,T_Query_Results$_.MADDR1,0,254,Parcels_March2024,T_Query_Results$_.MADDR1,0,254;MADDR2 "MADDR2" true true false 255 Text 0 0,First,#,Parcels_March2024,T_Query_Results$_.MADDR2,0,254,Parcels_March2024,T_Query_Results$_.MADDR2,0,254;Name "Name" true true false 255 Text 0 0,First,#,Parcels_March2024,T_Query_Results$_.Name,0,254,Parcels_March2024,T_Query_Results$_.Name,0,254;MAIL2 "MAIL2" true true false 255 Text 0 0,First,#,Parcels_March2024,T_Query_Results$_.MAIL2,0,254,Parcels_March2024,T_Query_Results$_.MAIL2,0,254;PARID "PARID" true true false 255 Text 0 0,First,#,Parcels_March2024,T_Query_Results$_.PARID,0,254,Parcels_March2024,T_Query_Results$_.PARID,0,254;City "City" true true false 255 Text 0 0,First,#,Parcels_March2024,T_Query_Results$_.City,0,254,Parcels_March2024,T_Query_Results$_.City,0,254;State "State" true true false 255 Text 0 0,First,#,Parcels_March2024,T_Query_Results$_.State,0,254,Parcels_March2024,T_Query_Results$_.State,0,254;Mortgage_Company "Mortgage Company" true true false 255 Text 0 0,First,#,Parcels_March2024,T_Query_Results$_.Mortgage_Company,0,254,Parcels_March2024,T_Query_Results$_.Mortgage_Company,0,254;Zip_Code "Zip Code" true true false 255 Text 0 0,First,#,Parcels_March2024,T_Query_Results$_.Zip_Code,0,254,Parcels_March2024,T_Query_Results$_.Zip_Code,0,254;F11 "F11" true true false 255 Text 0 0,First,#,Parcels_March2024,T_Query_Results$_.F11,0,254,Parcels_March2024,T_Query_Results$_.F11,0,254;F12 "F12" true true false 255 Text 0 0,First,#,Parcels_March2024,T_Query_Results$_.F12,0,254,Parcels_March2024,T_Query_Results$_.F12,0,254;ObjectID "ObjectID" false true false 4 Long 0 9,First,#,Parcels_March2024,T_Query_Results$_.ObjectID,-1,-1,Parcels_March2024,T_Query_Results$_.ObjectID,-1,-1" # ExportFeatures "Tax Mailing Parcels" "Y:\Auditor\Mailing Addresses\Mailing Addresses Update\GIS2SQL.sde\GISData.DBO.Tax_Mailing_2024" # NOT_USE_ALIAS "Name "Parcel Identification Number" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,Name,0,49;Type "Parcel Type" true true false 4 Long 0 0,First,#,Tax Mailing Parcels,Type,-1,-1;StatedArea "Stated Area" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,StatedArea,0,49;Historical "Historical" true true false 4 Long 0 0,First,#,Tax Mailing Parcels,Historical,-1,-1;SystemStartDate "System Start Date" true true false 8 Date 0 0,First,#,Tax Mailing Parcels,SystemStartDate,-1,-1;SystemEndDate "System End Date" true true false 8 Date 0 0,First,#,Tax Mailing Parcels,SystemEndDate,-1,-1;PIN "PIN" true true false 30 Text 0 0,First,#,Tax Mailing Parcels,PIN,0,29;ConveyanceType "Sub or Condo Type" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,ConveyanceType,0,49;ConveyanceDesignator "Sub or Condo Number" true true false 10 Text 0 0,First,#,Tax Mailing Parcels,ConveyanceDesignator,0,9;SimConDivType "Lot or Unit Type" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,SimConDivType,0,49;BlockDesignator "Block Number" true true false 10 Text 0 0,First,#,Tax Mailing Parcels,BlockDesignator,0,9;EncumbranceType "Encumbrance Type" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,EncumbranceType,0,49;SeparatedRightType "Separated Right Type" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,SeparatedRightType,0,49;HistoryType "Reason Parcel Retired" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,HistoryType,0,49;FloorDesignator "Floor Number" true true false 2 Short 0 0,First,#,Tax Mailing Parcels,FloorDesignator,-1,-1;PrincipalMeridian "Principal Meridian" true true false 40 Text 0 0,First,#,Tax Mailing Parcels,PrincipalMeridian,0,39;TownshipNumber "Township Number" true true false 3 Text 0 0,First,#,Tax Mailing Parcels,TownshipNumber,0,2;TownshipFraction "Township Fraction" true true false 1 Text 0 0,First,#,Tax Mailing Parcels,TownshipFraction,0,0;TownshipDirection "Township Direction" true true false 1 Text 0 0,First,#,Tax Mailing Parcels,TownshipDirection,0,0;RangeNumber "Range Number" true true false 3 Text 0 0,First,#,Tax Mailing Parcels,RangeNumber,0,2;RangeFraction "Range Fraction" true true false 1 Text 0 0,First,#,Tax Mailing Parcels,RangeFraction,0,0;RangeDirection "Range Direction" true true false 1 Text 0 0,First,#,Tax Mailing Parcels,RangeDirection,0,0;TownshipDupCode "Duplicate Township" true true false 1 Text 0 0,First,#,Tax Mailing Parcels,TownshipDupCode,0,0;PLSSID "PLSS Identification Number" true true false 16 Text 0 0,First,#,Tax Mailing Parcels,PLSSID,0,15;FirstDivisionType "Section Type" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,FirstDivisionType,0,49;FirstDivisionDupCode "Duplicate Section" true true false 1 Text 0 0,First,#,Tax Mailing Parcels,FirstDivisionDupCode,0,0;SecondDivisionNumber "Quarter Section Number" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,SecondDivisionNumber,0,49;SecondDivisionSuffix "Quarter Section Suffix" true true false 10 Text 0 0,First,#,Tax Mailing Parcels,SecondDivisionSuffix,0,9;SecondDivisionType "Quarter Section Type" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,SecondDivisionType,0,49;SpecialSurveyNumber "Special Survey Number" true true false 5 Text 0 0,First,#,Tax Mailing Parcels,SpecialSurveyNumber,0,4;SpecialSurveySuffix "Special Survey Suffix" true true false 5 Text 0 0,First,#,Tax Mailing Parcels,SpecialSurveySuffix,0,4;SpecialSurveyType "Special Survey Type" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,SpecialSurveyType,0,49;SpecialSurveyNotes "Special Survey Notes" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,SpecialSurveyNotes,0,49;CreatedBy "Created By" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,CreatedBy,0,49;ModifiedBy "Modified By" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,ModifiedBy,0,49;ModifyDate "Modification Date" true true false 8 Date 0 0,First,#,Tax Mailing Parcels,ModifyDate,-1,-1;Encumbrance "Encumbrance" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,Encumbrance,0,49;Name_Encumbrance "Other" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,Name_Encumbrance,0,49;jur "jur" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,jur,0,49;Grantor "Grantor" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,Grantor,0,49;Granted_To "Granted_To" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,Granted_To,0,49;Use_of "Use_of" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,Use_of,0,49;Vol___Page "Vol___Page" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,Vol___Page,0,49;Date "Date" true true false 8 Date 0 0,First,#,Tax Mailing Parcels,Date,-1,-1;Survey "Survey" true true false 75 Text 0 0,First,#,Tax Mailing Parcels,Survey,0,74;Sublot_num "Sublot_num" true true false 2 Short 0 0,First,#,Tax Mailing Parcels,Sublot_num,-1,-1;UNIT_NUM "UNIT_NUM" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,UNIT_NUM,0,49;FLOOR_NUM "FLOOR_NUM" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,FLOOR_NUM,0,49;SUBLOT_NUMBER "SUBLOT_NUMBER" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,SUBLOT_NUMBER,0,49;PLAT_VOL_PAGE "PLAT_VOL_PAGE" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,PLAT_VOL_PAGE,0,49;DECLAR_VOL_PAGE "DECLAR_VOL_PAGE" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,DECLAR_VOL_PAGE,0,49;PIN_NO_DASHES "PIN_NO_DASHES" true true false 20 Text 0 0,First,#,Tax Mailing Parcels,PIN_NO_DASHES,0,19;Acreage "Acreage" true true false 8 Double 0 0,First,#,Tax Mailing Parcels,Acreage,-1,-1;Calculated_Acreage "Calculated_Acreage" true true false 8 Double 0 0,First,#,Tax Mailing Parcels,Calculated_Acreage,-1,-1;Location_Address "Location_Address" true true false 75 Text 0 0,First,#,Tax Mailing Parcels,Location_Address,0,74;Owner_Name "Owner_Name" true true false 250 Text 0 0,First,#,Tax Mailing Parcels,Owner_Name,0,249;Owner_Address "Owner_Address" true true false 100 Text 0 0,First,#,Tax Mailing Parcels,Owner_Address,0,99;Owner_City "Owner_City" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,Owner_City,0,49;Tax_Name "Tax_Name" true true false 250 Text 0 0,First,#,Tax Mailing Parcels,Tax_Name,0,249;Tax_Address "Tax_Address" true true false 100 Text 0 0,First,#,Tax Mailing Parcels,Tax_Address,0,99;Tax_City "Tax_City" true true false 50 Text 0 0,First,#,Tax Mailing Parcels,Tax_City,0,49;Landuse_Code "Landuse_Code" true true false 5 Text 0 0,First,#,Tax Mailing Parcels,Landuse_Code,0,4;Landuse_Class "Landuse_Class" true true false 5 Text 0 0,First,#,Tax Mailing Parcels,Landuse_Class,0,4;Neighborhood_Code "Neighborhood_Code" true true false 10 Text 0 0,First,#,Tax Mailing Parcels,Neighborhood_Code,0,9;Book_Page "Book_Page" true true false 20 Text 0 0,First,#,Tax Mailing Parcels,Book_Page,0,19;Auditor_Link "Auditor_Link" true true false 150 Text 0 0,First,#,Tax Mailing Parcels,Auditor_Link,0,149;ID "ID" true true false 8 Double 0 0,First,#,Tax Mailing Parcels,ID,-1,-1;MADDR1 "MADDR1" true true false 255 Text 0 0,First,#,Tax Mailing Parcels,MADDR1,0,254;MADDR2 "MADDR2" true true false 255 Text 0 0,First,#,Tax Mailing Parcels,MADDR2,0,254;Name_1 "Name" true true false 255 Text 0 0,First,#,Tax Mailing Parcels,Name_1,0,254;MAIL2 "MAIL2" true true false 255 Text 0 0,First,#,Tax Mailing Parcels,MAIL2,0,254;PARID "PARID" true true false 255 Text 0 0,First,#,Tax Mailing Parcels,PARID,0,254;City "City" true true false 255 Text 0 0,First,#,Tax Mailing Parcels,City,0,254;State "State" true true false 255 Text 0 0,First,#,Tax Mailing Parcels,State,0,254;Mortgage_Company "Mortgage Company" true true false 255 Text 0 0,First,#,Tax Mailing Parcels,Mortgage_Company,0,254;Zip_Code "Zip Code" true true false 255 Text 0 0,First,#,Tax Mailing Parcels,Zip_Code,0,254;F11 "F11" true true false 255 Text 0 0,First,#,Tax Mailing Parcels,F11,0,254;F12 "F12" true true false 255 Text 0 0,First,#,Tax Mailing Parcels,F12,0,254;ObjectID "ObjectID" true true false 4 Long 0 0,First,#,Tax Mailing Parcels,ObjectID,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Tax Mailing Parcels,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Tax Mailing Parcels,Shape_Area,-1,-1" # CalculateField Tax_Mailing_Addresses F11 "!Name_1! + ' ' + !MAIL2!" Python # Text NO_ENFORCE_DOMAINS CalculateField Tax_Mailing_Addresses F12 "!City! + ', ' + !State! + ' ' + !Zip_Code!" Python # Text NO_ENFORCE_DOMAINS GISData.DBO.Tax_Mailing_2024 002 Server=GIS2SQL; Service=sde:sqlserver:GIS2SQL; Database=GISData; User=sa; Version=dbo.DEFAULT ArcSDE Connection Projected GCS_North_American_1983_HARN Linear Unit: Foot_US (0.304801) NAD_1983_HARN_StatePlane_Ohio_North_FIPS_3401_Feet <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/3.2.0'><WKT>PROJCS[&quot;NAD_1983_HARN_StatePlane_Ohio_North_FIPS_3401_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,1968500.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-82.5],PARAMETER[&quot;Standard_Parallel_1&quot;,40.43333333333333],PARAMETER[&quot;Standard_Parallel_2&quot;,41.7],PARAMETER[&quot;Latitude_Of_Origin&quot;,39.66666666666666],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,3753]],VERTCS[&quot;NAVD_1988&quot;,VDATUM[&quot;North_American_Vertical_Datum_1988&quot;],PARAMETER[&quot;Vertical_Shift&quot;,0.0],PARAMETER[&quot;Direction&quot;,1.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,5703]]</WKT><XOrigin>-118963900</XOrigin><YOrigin>-96373800</YOrigin><XYScale>3048.0060960121914</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333335</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3753</WKID><LatestWKID>3753</LatestWKID><VCSWKID>5703</VCSWKID><LatestVCSWKID>5703</LatestVCSWKID></ProjectedCoordinateSystem> 20240313 15180600 20240313 15180600 Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.2.2.49743 TaxMailing_2022 TaxMailing_2022 mailing address TaxMailing_2022 - Updated March 2024 Enterprise Geodatabase Feature Class dataset EPSG 8.9.3(9.3.0.0) 0 Simple FALSE 0 TRUE FALSE GISData.DBO.Tax_Mailing_2024 Feature Class 0 OBJECTID_1 OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID ObjectID Integer 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Name Parcel Identification Number String 50 0 0 Type Parcel Type Integer 4 10 0 StatedArea Stated Area String 50 0 0 Historical Historical Integer 4 10 0 SystemStartDate System Start Date Date 8 0 0 SystemEndDate System End Date Date 8 0 0 PIN PIN String 30 0 0 ConveyanceType Sub or Condo Type String 50 0 0 ConveyanceDesignator Sub or Condo Number String 10 0 0 SimConDivType Lot or Unit Type String 50 0 0 BlockDesignator Block Number String 10 0 0 EncumbranceType Encumbrance Type String 50 0 0 SeparatedRightType Separated Right Type String 50 0 0 HistoryType Reason Parcel Retired String 50 0 0 FloorDesignator Floor Number SmallInteger 2 5 0 PrincipalMeridian Principal Meridian String 40 0 0 TownshipNumber Township Number String 3 0 0 TownshipFraction Township Fraction String 1 0 0 TownshipDirection Township Direction String 1 0 0 RangeNumber Range Number String 3 0 0 RangeFraction Range Fraction String 1 0 0 RangeDirection Range Direction String 1 0 0 TownshipDupCode Duplicate Township String 1 0 0 PLSSID PLSS Identification Number String 16 0 0 FirstDivisionType Section Type String 50 0 0 FirstDivisionDupCode Duplicate Section String 1 0 0 SecondDivisionNumber Quarter Section Number String 50 0 0 SecondDivisionSuffix Quarter Section Suffix String 10 0 0 SecondDivisionType Quarter Section Type String 50 0 0 SpecialSurveyNumber Special Survey Number String 5 0 0 SpecialSurveySuffix Special Survey Suffix String 5 0 0 SpecialSurveyType Special Survey Type String 50 0 0 SpecialSurveyNotes Special Survey Notes String 50 0 0 CreatedBy Created By String 50 0 0 ModifiedBy Modified By String 50 0 0 ModifyDate Modification Date Date 8 0 0 Encumbrance Encumbrance String 50 0 0 Name_Encumbrance Other String 50 0 0 jur jur String 50 0 0 Grantor Grantor String 50 0 0 Granted_To Granted_To String 50 0 0 Use_of Use_of String 50 0 0 Vol___Page Vol___Page String 50 0 0 Date Date Date 8 0 0 Survey Survey String 75 0 0 Sublot_num Sublot_num SmallInteger 2 5 0 UNIT_NUM UNIT_NUM String 50 0 0 FLOOR_NUM FLOOR_NUM String 50 0 0 SUBLOT_NUMBER SUBLOT_NUMBER String 50 0 0 PLAT_VOL_PAGE PLAT_VOL_PAGE String 50 0 0 DECLAR_VOL_PAGE DECLAR_VOL_PAGE String 50 0 0 Shape Shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. PIN_NO_DASHES PIN_NO_DASHES String 20 0 0 Acreage Acreage Double 8 38 8 Calculated_Acreage Calculated_Acreage Double 8 38 8 Location_Address Location_Address String 75 0 0 Owner_Name Owner_Name String 250 0 0 Owner_Address Owner_Address String 100 0 0 Owner_City Owner_City String 50 0 0 Tax_Name Tax_Name String 250 0 0 Tax_Address Tax_Address String 100 0 0 Tax_City Tax_City String 50 0 0 Landuse_Code Landuse_Code String 5 0 0 Landuse_Class Landuse_Class String 5 0 0 Neighborhood_Code Neighborhood_Code String 10 0 0 Book_Page Book_Page String 20 0 0 ID ID Double 8 38 8 MADDR1 MADDR1 String 255 0 0 MADDR2 MADDR2 String 255 0 0 Name_1 Name String 255 0 0 MAIL2 MAIL2 String 255 0 0 PARID PARID String 255 0 0 City City String 255 0 0 State State String 255 0 0 Mortgage_Company Mortgage Company String 255 0 0 Zip_Code Zip Code String 255 0 0 F11 F11 String 255 0 0 F12 F12 String 255 0 0 Auditor_Link Auditor_Link String 150 0 0 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 20240313 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzsvflz5Hh27XcTSyL3jTtZey/TM6ORFJafZDm8/OmOeGE/RUi2 LGmk6Z7q2sjinmTuGzKBhONzvgCnZ6z3FPF+0ajIbwejulhkJoDE9+Dec889N8iyLLOn9bT+nVZx +5VKpX/135MksSAIbLlcmh8GFgahpZZZyUq22SZWKQW/ey3LLN6sLSpHlmRb6/f7dvX+zM6vr2ww Htksie34+TObLuaWbre23W5tenpluwf7VqpFtko3VvI8SzYbGw+GtpovrNls2ng8tnIU2cHRoUW1 qq23qcVxbNP5zNI0NdtmNuzfWTUo2zdff22c0Wgytmqjbv7WLKpWrNlpW5KmdnV5aaP7gSXx2tLV 2g4PD20wGFi92bDRaGSZV+Ji2Js3b/TaWVi2qFaxer1u5XJgtXJk/8tf/KWFXJt4bWFUtse0fvdp P62n9e+wfgpUP312Fv8f+AFIZFEUmed5AoPVYmHVWt1Cz/3bZr0WmPHvvu9bf3Bv79+/t++//96y JLPRdGJZySzzPVssFgIgz/etWq0KvOLba1umGwFRvdW0RrUmYOLf18uVwCksl/X3MIpsNh7pdTjG TqdjnpUs4jg3qa1WK9skicCGc+tfXZlXDm0njq3RaVu31xP4rKZzG49GNuS1VksBTxCVLQxDmy8W ev1ao271dtsyzwSuy+XS0nhti3hh7aimY3ps6wmwntYf1SqA6gG8AJokUXRClAO+AUxe8QslszTb 2mw6sel0ap/OzuySKGYyttlsZpVWy6wSWq1a1e+xZuOJwKFaqdh0s7Kjxo51W00BWrVes3IQ2naT WLbdWv/iyjabjUAL0CDiW6/Xivo6ra6ANF6uBGalcKvj5t+CcijA2sYbm02mApvOcmHNVks/y88k 29TuLq8VMc5XS6tUqwK0UuALxCz0LYhjM79klYqLsipBKFB7rOsJsJ7WH81ig/PFpv9p5AVI/JS3 qFaq+nMwHOjPq6sruxsM7P7+3j58+qiIan9/356/emlBr23L+cIiL7B4tTKPiGyzUSTGV+KX7PjF c3v55rXeB1DivYlw5vO5lctl/RyAxeuHFUCzZLu7u7Z/eCDwur2+0XHwc+UwFLACRsPJ2KIg1Ptx NgXYkfbxvXm8sq1XsmfPnwuQtpa5qC5L9e+8Dotj4e9h6FtLkaUDrG2amhf49pjWE2A9rT86Duv3 +KzMLKxWiv+1JE1sBUjc3trNzY395je/sYurS4FBpV4TsAAW8Eve/Z09f3Zg2+VSEcx8MDLfSrZe xS69C0PbPzlSGkg0dn1xqfcBjIh6SO84PkCLNI8IrpxslNrBbVXzqI0/k1Vs2doBEj9LhERqWl1t 9T6d3V1r7+2II1tt1nptALHke/bm66+s3W7r50fjsdXqdYEa3zvcO7Kzi8/i4xaLmd5n/Yu1hX75 IWJ8TOsJsJ7WH/WCCCd9Yg1GQ3FOgNVvf3wrnqg/Gpj5nh0eHNvewb6ikfvBQNEO0ZA4qPnCFvcj pXehH9hyOhPJTdTyqz/7U33v86dT+/TuvcBnu96ItNfrJFsBQ61WU0pW8EwAzt3dnUAn4ecBqelU hD2E/jrZKFrblvK01syR6ERFmVk9qpi1O0r/+BrPZxaTakZlOzg4sPF0oojumzffWrfbVUoZx0sd c7EUiSp2ezzrCbCe1r/rKqIpNt9Pv4rv9ccDgRARC5sVDuh+OrYPZ6e2t7fn+KRyaJVa1bZZZuPJ xO5HQwGMXylbFm9UqcuS1JaTmSVBYOkm0esTCQEG9zd9mwyGZunWSpvU+tc3+jdSNPN8HQdgdXJy Yn45tNlqqYgsm8/0/gAex8j36rWaUrlwW7ZerWpenLifX8xtU8rEefEzrWrdyuZZ1GrYcrVSGsu/ lSuR9XZ3bB4v7faub7/97W8trJSt1+sJsCph+eGaAYi+/7iirCfAelp/NAtgYBMqEsmBaxGv7OPZ qaKZ7u6OPXvzynqziQWVyDq7OxaWPEU7gBUbud3rKjWk6kYqlyxjC7ZmFZLBbSYJAt+HMyICu+/f 2eXncxvc3avKt0lXNhoMrVyv2ouXL20yHuuYiKoASCKg+OpS6SH8EUBSyszG9wO9P9wZKd18udDr bxYrS8amiI33BayoQqbrjf6t3uuYFwYCzkarKYkD4MZqtVr261//2p69fK40dbvdChg531otND+P PB/Tenxn/LR+f7GJC86IyKb4gh+BAE8SK/m++5ktoUoGu/zw66t4pc2vX8+/l25TpUjoodjM/A6y Al5D76Tv8d75L5TM1uvUVtvEonrFfri+tMQzW6KpijeWlct2NZvYL/7Xv7ZlFFjtcN+Ov/nKspJv h3/ynTbwdDKxo6+/sVajaYO7O/vxt2+tUo5scHGtiGqdrK2629GGb9bqFk/n9vbyHxV9BdXI9vb3 FJEBGGFYsm6jpWirU2/b2Yczq0Q1nf5wMLazs3Nrdzr28+9+YQantlrZZVS2l998pUofcoNgm9hm Fds0XkpGAfnebPesFkYC5Ng38/Za1tzfs+FwKHBsNBo2j9c2ns6t3d2x9mRm23Fse62OvXnxykaT oa4fvFfKJdwmiu4e03pcZ/u0/tsLUPoDAWfpp0/xn5K8eTRUgYvJHBnORlRVzfPNLztQ2xD9eKUH HZSqcyWPSr1Qa77a2GabimweL2YWNevSIe0cH1jT9+367TulXRJqTlzaxHuTGgG26JKqYdm25Yqt FkvxVVQFAUreh0hIUdsm0euu49jajab0UxDnRD6ISQ+Oj/TvQRjqNYiALi4ubLpcCcgqjZoNEHYG nh0eHSkFhchfz2bisYgASSk5zsD3Hb81mepneD/9Tr3myPN4Ze39Xevt79r+zq6AbTIc2WI60/uG lYrFi6UtZ3NbxbH9y/ff2/VdX8LRo8NDV1gIIyuBoI+rSPgEWE8rj6xYf6g25/tEWVunL0Js+bB+ r5KXCSAgxyVLyL9NAMXmA6zm65WNp2NbrGPxSeJ8plNrdnZFgFsttKwU2do3S/jabm0Tx+KteG+A 6fL0szYxQDQfTwRCpSyzRq1uPqC5WAncxEVtM216UjRAEjAlEhwOBg/EufRStbJ4pGq7aWG9aus0 sdlobIObvlKz2WYjNTqVQcCq0W5ZrdOyTZqoGlmIVQFqIiSAEGkDESbHQYpai5yGiuuHIDWoVfTz ACvEOucHCInAJ6ItlfTz3377rd1Edbu6udL3ms2mUlB+N+ChgHD2ka3Hd8ZP6/eWIp+cLyJhK0rl BZfEpkaYKaL3D/BMGqCNAzXxKSUircxmy4U4HEUeVzdKuVK/ZMttot+BWE6TxGZpYovZyA6aFet1 9yxrVlQNWw0TVcnglSJkBaQ928yuTj/b5G6gSt5qttAxeZutDW/vlHat2m2nXyqXBbJEOstsa1FU tWY50jkWAAjJDUgc7L6x/nioFLTVaOi81uimfM92Dvbt+e6OgA5B6d7hgXi0m/6tje6n4pg4D45D 4Bc4tT1/F19Vryua4ngBZa7LeDaVtCGCZwtDm4zG+h0I+8lkot9FiDoejvR6lUbduumOdbpdazXr us5co3Bbkibrsa0nwHrkqxBr/uGSmjwHr0JWUCz1z+VCSQuIwFzAtUpSaaLYlJT2Aa1//Ie/t3q7 pQim3KxZrdU0r1JWmlXzmjZZLFVFqySxrdaxZAvLOLZmtS7OjPfifVB4L4ZjSxcry9BAha5VBl3S 8O5OfXgIKSd52giJTWREWsf5AQ78fKfXVStNsRQlSZu1srvF0vo3t+KkdjpdCUp3j491TAAd0RFk PlEQ7UERUVp+HbhG/Ax8lJcLTwHGXrsjacNg4sj79k5PURhVTLXaEAnGsY5fAHpwoEiKVJbXqtXq kj3wvps00c8Uwlpe77FpsZ4A65GvP+x8p4GYVeh7ttlWaRYbBBKdVaSG+knSvVUsglw9fKcfLS2Z IpFStWrtvT1FE4BWUEfNbTYaTXJN0lY6KbRJcEJU/hRVEJ1Uq7YMI5tN5049XvJtvlyZl2xtkqRW RbawNevf3+m1qOC9eP3KPp2eOrDwPfXw7VLZywEXMSiRD1/bJFUEePX53E6Oji0wz/q3NxKPcuwH z45td39PxH41cykxURyvTQQEyM2nM+vUXKTEV5HaEdnxHrVmxY6Pj+386lKq91anbS9fvbT93T0b 3g/s9PTUwjBSKrm3uysgBKzUghNF1m61LAuRTMwFest4ZfVyRT9TC6vScz229QRYT+thxetYG5KN w5ObTQjHIqcE31dpnegA8CoEjOPZym7u+opUJou5jZZzqzUbVm7VHUkfhVbCZaFWkYYK8CPdgVym Z285Xdh0vbF4d1dRxzZEnVQSPwWJLrV4WLblYqG+PM8LpafCSWEU+BajPG+37OjZiX319dcCKfoI AbH78VCRFsCEPms+c+4K9UpVURQCVPr1pv69hWunwdrp9Wz/8FAAu/HMVqOJfp9oZp2txDuJDwtd ryDnw7WSHqzkuUisXHaaqnLZzs8+2zJZK31stls2nc8VPY3uBjbo31mt2dIxcl2Jsq6vrx90X7zG Tu/I4k2stDxJEp0vn0fVfFUtn9wantajWoWyYJNsbDKbKQ0BtNiEbDhSLL7klABnlEcrcC5snPvx 3O6HA3EtgEW10bBGp2OVRkMVrni9UaWR1AeS2Cultt2klm3glkJYeZutY4FQuVZVWgivU8k8kfK0 3wBYVNxK6VYNy9liazF9eauV9U4OdZykoMt1LBEpivfxdKrz6dQaItKL5mX4KFpe+B3Otd1s2XQ8 MVsnioZe7L60crMupfpwMLMgziR1QCJBSinF+Wol8OZ1ioxMrT5+8NCLyAJ4ALIZLTWeqTWn3e2o Nejm6lqVxINypGsJOBW9jBwjUZcKGJ675jXOuxJZFJQFittoa1HZyUke03qKsL7wxcajqlaQwdJd sQq19DoxLwpsHK9sZIldrOf2/fsfbG9n1756/druVpnNg8wqXskm6cbu3717qGJ9Oju16WYjUr3a qSmSWPlbe7bfs/3erp2dn1ktCC3bJBbCzVtmSbqxWrMuN4Tbuzspx8frjTXXa1vd3CqS6zTbVsb9 IAis7DnBJ2kaUdl4ObfxfKpK3/6zI6t4gTU7HeseH9i67FnQadhyPBW3Ne8PrLLjrF+SSkWp4c7+ nsCGVDIY9K13cmzVXlfvW2o3be15qkQCQHvdni3ie6t6HlSdhYFnUTmw2Xxti/XC2kHbSlFZVcVe q22z4ViVSr/TtMpux5JK2RqkiZu1beZL24xnlkU12+RpZblaMX+V2Ho6txHnvb9r83RtvU7XmpWa ddptq+x2bTKbSAtXq0S2Xa2VzlIlVE7+uDpzngDrS18Y3v3ePe25dIsnuWvsjWyTbKXuXiRr27CR PN8pyBdLcUMowGeDkSISGnyJVkinPl+cm1+v28v9N0p5yutYkQKbab6cW7vZtF/+6k/s7OJcrTXR OrZybpNCOghwkDK16nXr7XQVSfDay/ncglLDdrpduwnL2txEWGxU0lSEn0RzaLEwsZOzwnSqtLPo 6wNUSTGRI5BqobeiyZmoSIR1kooPIpopCHNSNVnS1Ko6D74HNzddLqzu1a0TuSirNDBLSU+3JuuY 6XAs0KEyCb+0f3RsO8+OrBSFdjN5JzCk4VnHkaaqHBZpNvquxWpli0GiYoSOD98uPLLC0DbTQJ9N 1m5bc6dnftmR7XJvCB6fzcxThPWFL8ztVP7Pq378P2Z3D4qqrdng/t4Gt31bJRsbDe8tnsxtknm2 GE+t1KhYs+oaf9lg0+VUdi7yoFourNtsirsZ3t+Lw0KyQMqD5QqAdXN+YVc311ZrN22/+kwgRZpE GkaqRKsKgDMdjNTEzEa+vbq2Qe1WqVez3lA0BsDwZ7lSFciUyoFSsKS0EchQ3UOgSjuMNEq+r3Yd QMDKgdXbTdvt7ej7dze3Nrq7FyirFzAMXcobx/p3QIeUDAlBa7dns5UTlJJuyp5mubIl1b3JzPxy II0Y57NeLNVmw/Ul2ozTxJb3I5vOpgJiuTgsl6r6AaaQ8N989a3d9vsSzfIwefn6tc4HAN7Y1joh 5+NZiOFgRNHDPWzEIVZ+0qXwSNYTYH3hC66GBVFcCB0VYeQcy+R+ZG/fvtWmST0THwU5zeYTV1KP 7Fc//4VaSxYTeKGpe50wUBtKr9t1NiyJJ6CIwrJSUMr+gBbiSxTejVZLBDEEfNkrWbSu6Jga1brd 3Vxb//b6IbLZphsb9m/FYcFBITRFhInmCfJdYtbA0+/Tt5dmJjKcSATyGqDEcQGQmMVLRV6NyL32 4PbOPn386OyP6w39TOE3RYYFMBOh8dpeFphfjSyoVxVRUYC4vrqy4d29VcuRXWeeVXttvRbRleQN VDTpVfRDAcsIt9IwtKhScdFnVJZlMpEUx7oltYsCW41iu7y+tldv3jwo+/kzSVL1O27itZVIv7OS VQ8PHdn+yMCK9QRYX/hCOiDXgdxueJuX95erpVKTv/+7v5WdMKkKG4qoCSlDghjS9+3o+XNVsfqX 13b66ZM2IWprpApXtzfaxNu7zF589doOjo+10bS2W/t0eSXR58uXL23/+MjKtYqrttFmAyk+Gtt8 urT+1TUHJ2Fmu96UhGG6itW4PDfPgsBXJRAJhKyC17Fts5L567XAkOMDuLCiwToGQWW9WpOnOucV kvIR7QzmckBAGEokBkCi1YLYl1kfgBIED03YspHJNlZvNCwN1+LGAJFqVBEvRjoIp4bKn8qgV6no NRShNZsWbiJbd5ZOOJpb0/BZ8MBAiIoF8mqb2e7+vt4Pcj/dbCTpKOfFDW+TWafeNC8rqa3HTzM7 3nGR4mNcT4D1CBYbCl6EBXRNl3On1h6N7KJ/I1EjEdSDX1PoKxLD5qSImNj0fI+fAQjghvCiov+N FIe0kM1GWZ4Uhk0NWV6OQokwm/W6BKLqCZxO7eriUk3Ki9Nzu72/05CGMpbAltnl2amrCm4zpUUQ 0KSAflYmVDSvlDdhh74AhPQKOcIdqe1wpGPe2dkRGMWBCegGs7E4OTY6vYNqb8llCCxSwJ288ke6 C4AQOa6NJu6ylbxAhDqAJhEnBYDxWDwVYFQNa07ekKU6z3Tm0ltxhV5J1wiVP9eXCBWA5Nj3X7wQ /xfANG5SG173lVarzSnwrRpWZe/MdZ+PJqqUFpVIIk7Sz8e0HtfZPsJFGwiJw3qzliUvZO7t8N4u Li8VHVFqp+zPZqH3jlQPriYLfds/OhQvRQpEmkQkQ/pUqMb5ucZOXborNhikPP1/fqUiYKCPb7/T E/B8+O2PdjceWq3RUIm+XW9Ys1yx355eKL3yPU/gB0fEcAaOhx5BEjX4ICqE8FhEgZWwpoZpxKGQ 6UQmAA/cz3Q8FhDBcxFB0WSNjQugTeQDcPIaRRR19flK/w/oSVAKP5S4dDKZTqzWqOp7AArvAXAQ 4Sn6i1fWadWlgJeCPwz0YGh1u86NNPBdoYLmbwoclUjfA9jolYx5vasrFTkm90NbTWb2Dz/8qJ/x o7I4rnZUt4+nH11F0TIJSotWIKKux7aeAOsLX5PhUHokuCdIYLgf0hIiCdcE7DYv6Q4bUj5RpG65 K0F7HdvV+YXdXd88NPmiMn9oUdmk1up2FDUhamx32tqsgASR2efTM6Vj/eFA8odv2MxRxdZzoo9M lUDed7FcOVM8oofM+bZ3qYy9euacFsYTJ2/odrV5KRAQCd1f3aj9Bo6riEoAVbRj/LvOx/f1Pjrn cvnBELDkleyrr75yAJI4NweOASCWiLWEJ1VDfByL90a8qoiL4oWVJMsgHQW0sfyT6Dbwdc68D+8p h4p8qs+D0j7v11SkhMtFENrB3r7d39xKs0bKiUas12jb3V1f6WO1GqlQwOK1uY6PLTV8Aqw/8lVI bR76xvCgS1Pd5MWYp3VMw2/4oMlZs8FRd4/HNhgO7bJ/Y1klVAMyXBKRz5JNvk3Vq0YEcDsa2PHx kSpV1WZDqc1wMbXSOueAkA+s15rqIrJ+NlX0tRvWzJKNhV5ZzpnXZ64FRULI7dZmd3dyAMU+BqX3 m//tf7fv372V57pGYlXK9uqXP5eIkq90a9bAOjgza+3vW4RCPKzYh/HcesdufmC12bR2ktnNhzPz 16nZci2ubjQf2uHxkap383Bok/697Xz32tp7PXFapFaf3n+QFg2XB4hwq0UCofvLa5vdj1RE8Cpb W3or8XTIOYjMiJQAI6QRgBSLKCza6+l6Ah6fPn2yWqdj+4dHuvYvdnZt9PlKEeB4PLVXr17ZZp3Y YuO4OISqo/nU1guand0cxO7OjtPOlZ2bxMHLZ/bp+tw2WOoEdB+4dFELTd3jwqsnwPqPsDQ1Jm94 lUQBkWOpJP9wVaVQjGOCh71vvy/iXIrxyUQSBCKr450XVu+09HqX5+fSDsEtUXXTUM98rFXJPLls brKtNqI26mbj0pRtIBEkr1vvtRU9LEczEdsl3BdmM4ESxzZfLhV1RfkUHBacDgT/6cdPD1EIlTpU 8q2tG+PVajbFOal9B2BGdFoLdSzHL17Y0lJtaH6GxbEopWvU1dhMhDWZTqV7Irp6ifWMlXSe+Fzd 3fbVq8j71ipVG0H+9weaH5guXMGg0m7YNvT1XmGeOgJALFkv583OrGoYWSUoyzhwp9sTR0XBwefz YV6i7z+khJD96hCI3XALeLP+XV9eWIweo2WIoa6Q/DSH4/BA9KgRYZ2Oewiskwdu7Mlx9Gn90S3Z pPzELUEjowo7E4j0PASbzZf28fzMTs8/a4MQCVjoyQXzun+r3yVFW8druzj7bJdnnyXAhCeCu0KN fn/bd0MYvJIlpUztMprmcnv7wF1RlZP0IEmlP1LDMtWvvDn3u+e/EFCsk0Qc2en5PwtUAF3I5h/f vrWb21s7efFcgAFpXW7UrFcpWzxfis9ah2VXxjez58+fWyusaPAo571cLO1ucG+TK6Y6f7IKFjcY A9KSA+c2m1pIi04Q2LNnzyxdxjYdO+cDRKUUBVDxZ5tUejF6+UbDoasSeoEiS+JW0k6uQbVakaB1 KwPWklngWZZmtslSi9ONpfdDK60Ty1ZrRXaANOmuXFCnU5n3cT0kKN3fl4MFxQ6l45VIxQWuDVVF RLq0FZE68xlQOeV1NHWn07FqpWzT+6Hj1/DbeoTrKSX8I18SNObRlcZcbR3xLItcWl3ijfXv7gRK 57fXIrap4PXaR9budu329NyGo5FdXV9r0+B8gP+4oph4I6IbgzmNW7+9sy2Gc5jZeb50UFTaABwA oVqvO0Gl76tKRirD1Blel3SO1IeNRATgxKFj+U6x6eC9SDcBxdVyKbAEHMfZWkS1Xwot2c70GkRC bEqO9Z//8Z+s6od29uGjPfv6jXWfHdq33/3M/Fdf2Vl3x84/fBDxDgB09nYszlLzlgulpxzL9dm5 ohGOrzDVI7LUgIvrG3tVbyrCpCkwxLeLwayes9RJt06kWXwVfBGvU5D89ahut7P5A/Bo8o3n6/+J dmnzwcvq4PBQo+4R0VLkKHsVgZA6BILQebo3GiowQOYD4tVmTSC32aydcNdzx/WHdj+PaT3eM/+P srJc9JmTuYxKJ3FbrBaSA9xf3EoPtdjEemLjNR42qqpAwRNp6goqbczspjMbIvJMt/b85Jm4JgYw xCvXGFw4NKjtw3dkvKx/zay3s6PoSrII2mCCwBqV6u/ZqiAbWE7nDtA2G0tWbkJyoUtiIUzVVGXU 6z5meomsVpBEzMdTbXBEq0RDHHPn5FjpVgG2gLUGP8SJXeXVPlJk0srd40Ord9sqAtxcXun9AGck Dt1WW0DKzwMCLP7eardVDQUwFDlut67qB0BscJa4VxrIteEYABl+T571TMDxKoreACzkHtjEII+g gEf6rDH2kasO6tj3du0FPvi1qmQjRLA8LIr3Jvpius4h59HCV96329sbgb5Xyh7mIGpyNJRAzqc9 lvUEWP8BFoJP9buliVIK/JV4UrP5/un/+UeBQ3dv1447baVogNfZp0+KjEa3fTs5PNKmoNUlXi5F NsNnBTnAkaYlycZqjZo21mA8tnbYk5KankEAk6ighltoWLYwSaUHQnpw/vHURUrjsSpYqOHRdEkK sHE8S5XKIqkmoCiWzHlJ0SM4W6/sZrGQpkiRQ/q7yTAaHhH41q3WrdNqC3hcpOYpKkMxropb4FJC ev54jWqz7nrycttmwGjHdxIDwJ2oD4kBk3GiRs32nx27KGubqaDBIpWMZzO7ubjS76u1qWFKJQFi GQtmJVvMXPEAh1RkDXv7+wIjwqFmr6NhFkSNZ2dnOkYiZQoDLHi+QmnP0tTn5UoR3mI00QOg41cU yfFg8ImwsHHPObTHZt7HegKsP/JFmwyb8pqNhr2u79kP73+007Mz9eWhCSJ6IWVQKjabujL9cmXT u6FdfDqz+XCsyAWLFIhpSvDwI1QBU9tK+S4dUakk0SPSB0Zo8Wc8i7X5eF82ebPRNC/NpBkiEkK8 CZe1nM30/fff/1byAyIkNjIOBEQoLDgp9Fa8D1orySlIp+Z5+87Ojm3yNAzeJ+pVrdvtKcUqUjJS TQoJtloLJAExegXDVt2u7/sCBFwTcEdYzeYCG9I0ea63W1aZTWyymFmYbqR1Gs6n5ge+rVepiHlU 9jg9XCPluO3baD7W+fH7gDQ9iESdhSRhm5qAE5IfixuuB/718F5UGQv7Yx4ypK6M8lKxIo7t8vJS ejLxg5wjYtTB0I0sI7LOthbXmrqO8oQvZe68GOwB+D8ySQPrCbD+yNdsMrHPFxf2f/6X/0tE7J// p7/QRiEtA2hevX6t1ILvff78WZuYcvnx/oFSttn9UBHPKsGShTaXwCmv9bj2pT1iIzO9BfU5xPnB ybHGp19eXykCoGWmmacokOExjp6ACmO8tiYCHpBimjFpHVU5jgdbY3gZfg9Q2uTRCynh6N6JPcOU yny2sIkWAAAgAElEQVRmu4227XZ64uDY5NjAvH792uq1plJZmovlZV4JnJ6M8V9eSa/bbR/Ys5cv bBK76HHWGluQZBqOyvRmokTSvOcvX9izF8+tkvNpRDRpGFqD/sFtqnOtRTVbJVt5xo/79xbWXF8g PlSRF1hKsWG11nnIXz1ey5mUdJw/SVfX21Q6tb1qZN5yozSS6TmAFdej2W5blINo3GoqneTcACt0 a0oXMfVrtW00mSi6AnizbWJ3s4UATsM2sJF+ZOsJsP6NxZOsWP+a97mshP+1qTP5fL+tz0/8bu6f IgUaXvO/s+no3aOCpw0cOk4C8GGjfTr9bD98eq8m3JOXL6zcadui37dWvWXz/sj6XqjURtOF07X0 Vp2DPaU44ppSs8Vqbl4UWnN/x9oMVWjUlZIBSA2/bFHJ15w+eUu1uvKR+vBPv1GlET6IY+6fX9mi NlZvII3GGgk/GUmKwCblCjBXsLnXUyQkm2JSK8/kREAqSopDJAHJDGmPMV99tyWfc1pvluWSRd2W HZPS1RoaL3/2/qOrorXqdnt6Zt5nNziVc6OqprFg87n9+v/9R/E5cEH0PcLvvH72Qs3JuE3gPPH5 7XtFZJ5fViSkcWPTpXkl34Y3N0qTkWv0R3fWOOrZz/e7Vin56hfcf/3Cat22UsHBZiEODYdSlPAX F58V7SKBuD+/cKPIymUdpx8nNr64spCq4nxmgVeyVaUsp4nr889W5voHodxHieiIxugzJPpEbIr/ aq3TlXjX80xdAsWknse4ngDr31j/LZ5A+qKfjFb//8EZmqn8u6pQbTPppn76+8gMCkcFtFMYy8F5 /EhDcpLYaOymu+zudDWgoLAo5glLOkF6RDSigQzYFE8mTuk9GErD097t2Q69b5DE1Yr8nTYLs71m XVzK7G5og/HIdrs96Zsgi+FiGCQxWS1s9/BAURmpG68Nx4QcgOvCxjx88cy1uqgVLpGAUlN44Ljw b+/fux7FYqIz5nNlhoq21PNHVY9ohKgJmYZfwhNr7UaDrZbinVicb+Etz+K1pEsLfJc+lkwRTGFn jFSDn2/tthUBqnq5jt0Y+81agIWVcjyeWVit2HDqbJUZIY+NyxRxKRsE65nYezh2AANwstVGUgsA Gf6NFHfzE6sa6eSSRFbGXEt4NiQTHBONzbze+adTazTbkpYgKiWiwjkDch8nDF6HdPp+NNDn3GjU LOrtuLFnRKv5GLbHtJ4A679jFWOxWKVS7uTp/uFBgvBwI7Fxcaz0A8tKziJFT0c2G5s+H+wASP3w 9rd20+/LUQCfdACKaEZ9cZWKNEbV8Ui/z40sbVLefoJD54N6PG+xIZpAC3Wy21PKAscymI5tDcdS Du1wf8/O5yvxL+io0B4BfOoNjMoSYBIRAboCAV4bFwUinlpdSntIe71nbl2jywC/kjubrmfOAx1h Jz1+97kdcKvS0XXpdroqGFDx1Gj5JLFJspFwdbKcC0QFAMlGxDZLNi2ktkiVQtdGA99GKvzx40eB xpQHRJbp/xmSIbM89GFrxzWhseJ6kYrKXiZNVFGsoQNbrsRV8b738UYWNduyb4lliurEyXkbi2cL 83gPz7c70s/bvv6tmM8o7vFuKGKf5u4gjy55cOHp/vnDJ/v2T/5EP9dtd1QNBaDRnvHZwWGNFwO9 Fml1q+UkJRyvAOuRgRXrCbD+jVUA03/t7z8NqzR9nTK7FOk/+Wbxo4TyP9nURFTcvDgn/Pj+nf3w 9q1K4WhxqMrBu0xHU1We8JMiRWQD8vfQPE14CSuuN00Tl1FVZ5k2TKPRtEa1ZqfXl/IoJzLTfMFK aCssUqpVRSStna4kC4XYFDCgPP/y1SsJUddLF00RPei1I/deqLBDIphuxzb39w6A88gP+xgiHM6N qISI5fjwSD2MjMzivSDZiY4Aq0bXOT8URoOkQtVWw6Llwg4A+jyVFm+TV9OKB4PaZHynVQOQiKaQ Pyjdo2GZaC0faEo6i2yAa+unqaIojk+N3cwYRG8Vb9ToTFTL7/NvgCIATUQIGc7rKcrJp+lAiIuj Q2YA2R5FD7wTaSPninyC1BerZ6nlt2avX71yrT44LvieVcKqQJhIEC6RcwPAmp2W0u5qNWLwo67R T6mKx7SeAOvfWL+LpEr/aor4U96puIl+OoRA5DbglPtEkZZxU8L/EP18//334i0wuiOi4PVV3s83 L6+hNCPEy8rxGkRANCsT2djWCTWpSPEUVgMxvX6TiXrTIIL3Dw8U4XB88COzhYvaCo0QT3PU7IXd CqDys+++0/FKBZ9lEpgSpfEebFAqXbw/Sm7SRYhrNtNiNtfTn4gtTROlQc16VakpLTxsXjYiQ0o5 DyIb3lMN0DN3/sUQBl3vxI1/l8IfHVo+sRmA4O9cX0Ae8CcC47xlxkcfIxKL0BMYaHRWrSq7mjCP uBDMnp+f6wEjQSYTo2miLocCCD6DYnL08cvnOq+CP6OaSJTK0rTnWlWfJ68jAz8i3N1dFRdICQfz qe1uYou3jhrAtRTxLD/H+U1sqiIFAHl+caGoVz72afpg35ymG7lcvDw60jGRhjLU4jGtJ8D6N9a/ pXXR5OSHH3ZRhsjmvFy9WTrHSTYmnMndaChuBr4JIDi7udQNqVSCEVUjl/LxOyjN2ZRsRPra+D2q RguaewcjbXye0MVE48L2hf8npZmOxha0GbdVEqjxfb2276vPbZVbExM9kQZNiC4ASzzF53PJFDQ7 cL3W7xfCUmQUjOyirP75/UdVJomqtLnSRMBG5VEc3HQiIp3evHW6sRAeBiFlFDrHh2WqtBcnTaqB mn9YqagoQPTK/8twr1yWYlyVvTSVVIEqnXoScUbNRZcAWcqswySVFXIzMPFBPBDWgHu8EiHf9Guq xAFgcHJ8VkQzvA6REQ3gyDg4F16f4+FhwHsgRyiEptKDNWpWYSoz7UVxLBDSWK9Wy37x538qN1ei 5iNEsK2WfOwZO8bcQSJVeitxt+Dvr7/+SjbKpKx87ooicznH7e21TaKK9RoNJ9OoOLnIY1pPgPXf EW39PoeVk8B5WVzRRb55ZKl7fe0GGqSpSvbD8Ug2wTt7bsbf82++UqoHmQshLs1NtaYSOh5Jftml F0RGVOHkfx6vzd+k+v3Dk2NXHmej1JyzJRWo4tjYaFTniuiAtAbwmeecDsAEsBEp8SdRB2kefAxK c75SgZwTr2qUehyLqJcQ84f3AkSiJaXDnmetXldNvJoBuJyJROY8KI6evHyunyEqml9fO1dPhqV6 vi1WLu3kGPDgAgQyz52zbIbzWX9EG0VPpdJgpvg0mw/RWbxO3EiuyUzyAUBPA1DRSgF2TE9eJxbQ MnNyrHFhl2fnD8CvZvHdQ7lNMGgDSQXXmhSxSE85DgoHGobRcB5btPXwuddwk2BgRG7Hs8wSC+JY LVMR4tBtqsqpwB9/sFrNJvFagPiLX/xCIE+UC8gGtZqun7uvEkWxRTr8pMN6Wv/VVfSTFYBUgBYm cjT6qncOT6hcuQxQ8SRmU9Osy0BQIqgXb17bN2++c02utK34JTmAQsrDKfHk3sP0LnOuCuWm2Vcn P7M3331r59dXrol4FUuHhH6Hm14VLMSf+RRiR+rePzRJi5SGd6EAkG5d+0te0UKrhS7q6OhEG5wq H7128GNESUU1kI0FaEqYibp76CpXwSqW+pzqGrP3SuvAOjs99c0RRVbT9QO3RI8ivBoK9ovPn+VV zjERWe13d9Suo1StUrXpaiGCWu0+y6U+A15HBnrLn4gnUbbjd7Wzo6hRmqcks5oXaiQWkgFxRgw+ DQMBBu9PozUFhEG6kqMpkQ5aNIFMvapG6vMbd715Px4ErU5XEZJ0a/v7+h2/4dpkuJake9jFyB21 4mQNeMmjd1vMYrsfj6xLcaMSKU1/cfxMvlhYSGcnz+zd2x8VTfIAowDS6nQsiBINugD4Tk5O9Hnt 4wUPzbBcOlX9I1pffIRFZQfuxzPPUhpjreRM0Io8LifHSSUKtbimsuTTjQUI2VYe6KQ+DAqgqZWn tW7umku59HTepvb3f//39pd/9VdWbjftpPMzS9++tR/PPjrzt6wkP6MkLVm50bKluImJPX/9tVKC 6WRp9Z09ax8fazOU9ncsDH3rT0d293//nQzeGKCAjYlSkm7L9t68kCd5A6M6XBO2WxuOBqqyjVcL e3V0Ytv5Si0pPNnZ2N989zPZvABcN4ORigFspmdfv7aXb15LTHp3cSqvqFbNtdSk45GKAGwaxJij 64kbXxWYdXfaSj0RlCIRIPIAnJfTlVVIMdeJS0MZOlGu2N/93d/Y9cczq4WRefWKhJlce64jmxyg 49rfXl6J52HuHwZ+eLVvs42U57udrvgmgPTVwbENb/r2ww/f2wpLmGpow7s7Kd4x+htc30q5393f tQ1RJ683mdro9s5avR1bBGM7fvPSmt2OKrG+oqDMglJgB/W2DT9f2fnb93b4V38pQOSYvU7d1pXQ al5gtWpDLTqlxKxeqWPrZ/VO107aXbv7dGbLycJslZq/zmwzXVmr0bZKuWr306kl+HExOo2hGM2m 9Hd0CVCYgJ+abyZ2d3+jNqDbyyul6YujI3t+/NyiuqswP6b1xQOWXCFzVMpUasf0zBMpq/YK342/ KrgoNnq8dFoewnI2OwBFlHR1c6M/qaIdPzuxar1qvf29h6Zaj0oapXwshzPnaMBNWJTh/aCsP9mU AGSQT1KRSDCPEjCZg9Bm0/OUnRCdTSBcU6u+cEMT1LlPeuZ7rqI1XyjqgtPguBGNojyHoJUq3PfE AWXomLaZbIiRHfCETqiG5d3/nAckNHIGIjCNUI+Ym+f4KyJHoisWkRKRWSN0s/oKF4FksxZ5TkTA 6xNNSINGGkjhIUmdX1WyUatKu1ERr0SlVEQ68wSbjYfrxuxAIiKOQZEd8/1yaYeKETfXAiTGlMFr aR5glmmMPVEODd6Ldax2mVbJbH9/TxEgIAhgZ6S6lUiRZVFtVSS63UpmsO127NuffyeejUjNNYa7 4a64W/idXUkhSBs5P0kXymWl+AyN5e9FVZPPkIceYKR0/vDQ+uPhQ89jOYxU4dRAkGrFdnd2rVIO 1RhOD2OVmYiJa1FSceapl/DLW9IEAUgp2iDXOMqSpYnvSYvDTXh911fpm9QNUSFWumy0z//8G20m pAD87HA2sec7HfXIwZ2w2QnjAReGKFCOZzoMT35SxCItY3O12h1tRKUPAIXmzOWVxpJzA4AzKtwP WPQBotIWkY21S4j+yJXbsSDhBlZ0tlpJqc65UpkCNEpopyzVNBlAVKV3UsGSp+ofJXyU6hKwJtDP mY6ZTQXIM6hU3BGDH5A2rJwp4E+bb5vthn5GKTNSgRwI0JWxAFTkAlwXCHI2HyQ1glP1FrL5mOVH tLp1YlDxSLnnE2ldMcIdbocHgjijqhvISkSHhUz/8soOnh3rS0NXNeQ6U2pHmgZoByjMq5FFefWV 73leIMM8pdNIIbKSzpE+SYSc3cN9VWCH+MZvU3ln8XsdbI9T51zK4rzVEP1Q0Fjazf2dzS5u1Xuo pmym4VQrul5ET3JqoNJJdL5YOd/6fKoQDwy9Vuq4LdLjKoUZc/eThLP2+NYXH2HpaYm4kygm9+7m aQ3BDQF+dzfQRsZz/Nnrl7L2oBEYO9osKNvFza1uYLRC3UbdvEbdDp89t5bGnd/bcDLWUIf9cF/S ge5OTwQwlSkshHk/NkMlciAGKNVzDsKpsun6x1zPqeG5OVGlE/Exhmtx03eKZyIAWlryiInogTQH 0hzCepWkUpVLgjCfO2I5y+zo6+fibkhrASvEkQAVG4INAwcibRLTZ5oNRVWFbICy+ao0dRqrvBkX MAJgNEEnV48T9VQzV72jgbgQr8L33F7dCFzYpLS+FG4FkP9ETgV5zu+qR265ctNqcsCa5ZVLriHp PQJMpBryXW80bO1lmmZDNZbv7+7tOfKdammtKuJ+p1E1r+z4K7ym3D2RiTMshy6Fpb9QUfI2k+PE kkivUrUkWdv9bKxUsdNoumnQtNwQ4UVlAVMclDWyrLDSofWKtA5/9my5lIMrDzYaz9F7cex8/oiE pXpPXKWUqI/X48FI9KmhHkms4g3RWLPVVDRHRVWTkJ5G1X95q4ioIDKloZnP5V++Lm3tenBns/uJ UhJSp71XzzTxBE8logE2Io6YVgnVy0c0UvVNT2lSR6o4Y1LGu74beV4OtUnZMKRXhdOmlNHbTKDA piAdmG1W4rBwtBSntnGjn2TFSwWIxmR4NcAO0rpU0o1LaZ4KFAJOvn/9/rMjxsOywK6IWiCbNUbq 4ECAppaZas0mdwNFC1TOIH6RRnCe0lS1nYWLnAM2ifrbABBV3lYrcV28B6kawEHEIPfMINDPcJ7Y /CpVrFTtYGdXzdcF54aTZmEBozmB8VLEMnP4OFdAWikt71GpSFXO+xIBAQQAOI3efPGwUAHCy34n 0CQNyzsJOJcwTpVecS0LZTznSkpM1VNpMpEjKn1mHiap3EKZiKNocL2xq/61NFM/jfqyPO0GYJPB yKb1kaZn47kVdrtytEAsS7XXkpKuJyBXpIPi6tZrPTjpFSS9JJKWlIPXxpOrWrG0nggIeR81k9eq Vi1XdK6KcB9hiPXlR1heSWH83/7t36pyR+9a1GnaN3/2J/b6aNduP16pLWTNzWSMX6K0nUpE6ZUC a9FLhyVIt+PGi69jqzdbtoYojTc2YKz6YOBaLlBhRwgyTRsbbmmMgybKb3yOtiYBpTioLLKmes5M 5LGbIuOqjwABT33ZoeBjtV7LnqR0/llP9TKiz7x95OL6SlU9AEDOnrTW1Gq2Dly7jTzbzZMuiYKD NEukMeXA5snaGghRsS4hxfF9pVOkhfws+iT+jgCVJ76AM3Yp0I4fiBDnZwt1NymkpBKzuSIM0k6O hYohaRVaJK4LnuoAFNeEqcqcq5+Urem1nCCSUV15VNU72n9oTUrv7h44sdOPHwXIncN961Rq4tQW 84VdXlwIaIgmueCAS7za2Ha9UqUQICDiXgE4zD6sVvX5ARoArZwT1q7yKTD2fOvs7dnQ7jXJmmt8 dHws+mDAcI27ofzYiTyJfMS9VSoyJQR8AMb93T1FescnJwJtonsKC6Tgn/7F2fFwrdHFETWR9muK dhDqAaCpOpz3NpVfv59sdawqMT4yS6wvHrAwNMH07vTiXGV4r1K2417TDl+/sFZ1x1pRy7xPZd2k 3Az0jdVnM9kLK4U73LXKZqPWDKInhgvwJCZ6UmjOm2SZwnlaP+hno+rD05JNK8V5nuI0W66JVu6c 2421ej1bMVyUEj2NsvmEYCIZcR6Nuq0h/vEOz/JWjK2zTeE1SRk0OYdoIM5UTmfzk8rAG5GGYAPc qtQsYfT8ciVuCklFpd3UtSDCqoSBnuJEoYAM7SwovUmhpZPKJQRsbngqgEa6JmyMIzdTsJB5AHSk ikQcyBWCWkXRINd3NJvYcj7XCCtL3IBUgBIeytvQBO40Z/2bW21WRW29jhvBlcAhzt34rSSVsR7R HwLPUljVMchLnfFfm40GO2TzpXVQr/MgYJ49/CB/90tqOif9Oj461AizeDLXAwbynNSeUV4Ab6fb sk6jZcl8ZbdMnc4LLKSTpJmBF0qgqhmKcaxjhy/kfEmd7z5+lvsroI3g1l+XdYwl3CLC0HZ7O67d ZpPq8+GeUapHZXaTWFXRteufXCeJKqTR1qXQj3F98YC1MZ5OFaURCvMDT2K/wWxid+u5ZaSD3Ai6 RzJtVp5clXLF6lHVKq2mpfO5LamwsWGQJWyY2hJbFEZ2uLPnDOuY0bdcuqGlmOcNRuKS2IBKU0qe 0hTSN0hYeJEDOQ6YSva0ehSRBCrobGxW2zZsuSQdMEV4SAqcV/pEUQg3NFOMiQaL0eq0c5DyANIa iIq2qUoV1IEKEcDXP/tWNjDT9cpKC5cOFpyVPN4rVaWGSkPy1hFW0YJExMdUG5T7iCG5HrJSwU00 B1uAb7RYWtVriygn7S4En7wOnFyn3bb63q70XfJcJ1UrOSdR0kiagGc1zzYTBjvESqEUbXiBzO5U 6UVIiR9Xkk+Dzjc60RX9loAr0UlUc7IPohdNsi75qkD+8pe/tA9hWROXJ1lJ1VYakXFk4HMgJeN1 qN5x/VXx80oqUlBdZNAFnzfcF+eAjQ7XEJkIHvMMvMCBg3NHfkKExbg1zrmcZbp2iu5o68obxtUH qa+S7kvNgkQIu2G60UYSncfq6/7Fn7WUyWVfXkvP/4dfSYu0YsrJIrX4fmHzxczq9Zp999XXAg7C 8nK3Y/42sxmpiSW2uLsTKaqoo9l0SvHZTDfZybdvbG6Ji3aqFU2EKVTw6IbCVWLxbGWtTk8blZv7 x+9/o6rfyc6uprC0Km6mHaOngsCzRiWyu37f9lotiyKXSsHnAA5kAGxOnrJ3l9fyelLTLVwdUQ79 ivWa1TctS+DDVhs7erVr99m9Nk7QqtvRy+dW67Qsms9sdn2nKToAG9wIjpbrkuf65SqRra8HFqjl xrlhooIHmCY3d7pG+788EoiQAlEsoIoKJ0QUAVHsHXTsdjqyMMlsdOHsiQ/3D+zrv/hTG8wnVpqS 7n5QRAPHNJrPzI8qloaBJfCH85XFg5n9+a/+1KZX93b17sy6zbYFa7PlZGmLqzt7e3Mn7Rg9e3/9 13+tyTt3tYZ9fPvOXj4/cc3OUVmgr0hlFSuaIq26nY9tWwmte3zgdHixc/ckDYY/vFrObUSvJPKK NUaFJSuXQttu6PEMbJWurXO0KyFsuV2zXqcrlb7HCDM/sNl6LlsYeijbLSe+BXiIqonCYFhJ6zmu 3ZcnEhuvtltr1Cs228S2vB+4pvpl/MBbLraZ1PMIdb/4DfwH64s/36iEp7gjQAnbASzPXKWI9EZG c6QJiZvaWyyiim2M9crKTXFZLpX2wTdJIoEA1Qvs6vSzhm2WGKPuu9J14ZogotZz/YCQv1R/0KTL FYDIaj639k5XUR03osSTzL6LKg98FqkkIIqOSKR9ulX0xjExQCLquVmD0kjN55JYkDZJ/e6V7P37 D3JjYPMhCuUcB3f3coe4Hdxbiqj0/EKpBnwJCm7AlPMH4KqAV7JS20mlUbV6r6Nog0rl1eWl/bJW V0SH+4AmIuPJHohKFojC6TVoLwkrspqRBIKq2HRm283Gbu5GbjpzLnrls5K0IV7b+x/fCcQwtjvY 3dPvjjcb+3R2+qAHo3oH1yeJQOiLF+K6CwD293QNpdRvNcVL6QEGWS9/sq1SMCIbRtinJacol4c9 n/14ZC8xTQxCXW+uMbwWDyZZ5ni+bWI3Io30Uvqzkq8BHdJMwT/mEgXOrbCyhpDnODgGWqK2e67r QTKGeO00eiWiurINUPkjjUGO4XsWpo5ffazriwcsY+LMMpa/9/31rZpdF/OVvpckqWb3iWAPPFsC KqiPcQBl8i6z47KSUpD5OrH++NouN58VxmuKDdOJKzVJG1TmhrSnzy9yhnxwYpt4JZ5GjbKkI9in lEOlp5CopHa4Cqhfznf6GgCLG5gUgxRUA0AZuDka6wmNNTHRVnUyfmhIVsqQywk4frgs1PIHz09s D1+sm742WyFhoMqJOr4/nCitQTnO+TBtBsEsxDh+XJKBDDMrM0Zrf1ckOLxLc6drk83KPv7wVoDD CtodgZE4re1WPFL9YEcDSjeRAzBSHchuolkiwaDX1SYWTzV0AtlWveHaclY0ZC8epvcQxSJs5Xrs 9Ho63jTIBDKkZw3M9ODY7HcOD4V+iUpjWHaNzBKcVqoCVaX4gSsOmJ9b9BQSk/HEfvjhB/vq9RsN eKWtij5J5B98XgB6s1Z1PaSrtXRqPAQpAHBskkAg1YBCwNeLqBH9XNVVlGUpPZk522n4RfRtnrtG RIHq34zKLs3GMsf3XXGE+5WCjT2+9cUDFpoYdE70yTFslEhhgw8ShCZlZ/Mt4ObNm3rFM4wjyRjg vRh3rifkOr/5cAJIndq45PsSNuIfbpkT/CFIrTMdJRdD0n4hucNOV9U42lsoT9PaA8hoI947L6hR OtJG6DRb2oSKIsqJNn7/6lppxYuXL5VqyX6FPkb4k+wn1jaBL9K4t7/rlPO9jo4dhwBcAyDsAWi5 InAslYo25OvnL/Q+pDOT6yulIajEJctYOOIc/Vb/6sYCElMcOUslRXkci7zb6w03+LXkHgICnLuB LQdjlfbhtRbLhcr6OE60my2r7LUcIH0+t9v+reNzEtfYDXmPXOPo6MhNPWbu32YtoHv9zVeKvOqd hooLRKxMy0EHxyTmfnajDgUVPVC6r5Z6kPCZcD8ALGsU9JOpzgnnUVJEWph67Y6zdBlPxDdNd12P qBwp6Nms151mbBXbCEeO3M6m2Wg8tHUVo9nQgxEhSc1/eaXCBuDJwwCnWD43KAbAmN+FdihGfrmO Buf+QdTLohiBeJTr+QfObI9iffGAxWLjcFPEELG1ilpk1OoSVWy2hrNxZm1sHLluonpmg2rElm9B tap0j7I9XJa69RkRXy7bxbuP8rpiQytsz3VQKOV105Yyq0Rl3eRol0hNAJQJvlUlc3zJwvUv8qQt hnSiLWKDwJ1w/MVsPrRNpEeK/qKyDe4GLoXZrHVTo606ef7Meru7ApyoXrcZTp15vyPvA1DwxCcd wtyP3yfyIvWkEsqmgRNCBsJYKXoEvXVqg5FTwd/0znQ+g6sbHR+RRYzbQp4yaWoP5nZeSekrEQ1p Et9ns1JZJEoaDYa2E1WcfQsFjchtdgoGRKBcawSyXAsioGfPn7vrxMRmho5eXMhEkNE1/Hyz4VqT +H+AW9FSnvbJNJCHCZ8lnyNTmhF73g+V6lOhE9BSEGg2FDHxe2tzDyckDEV0xgNoPcoV+Klzk+Bn uG4y88MRlCbnKLKDdluyieW9461CzxUmWMgvOC8ekmjsAH0eMnzOhZ6M1i+l98w5jGPNB9B/iH61 2U0AACAASURBVHmfZA1f3towOJQyNG4Dvq+QvhSE7mZp1G01XqvKZEGgyhBPPblTNut6Mq+Wbsgo FivqkAf85nP9qVSoTGsOaV9JN6hsRtgkKJcXc3kiqT+N8e809aaJRKr8qac1mikGjTYaSvn42cJZ UyPOW21tfr7HawOs6K8gbj++/yAyWyQ/c/BaTanI94+PBLxM2UFJT+TATc9mQ0QKkEmG4JXEY0H0 vv/tW0VYEkTC39A6FAbWqdSVgvBkp4KXlCva2JUoUtUMkp4UEgKZ6uF0NtOGBkxl0Be7nsRimKj4 NcvEt0H2f/58oQiETV1MnwG88MuiwltHVDmZSjJCRPr6zRtxZ7g58D6AA55gfJao1e+Hw9/1PGI7 U6nKXI+olmvCdVb0N50r4oN/RJ5SuDq8ePVSrg1Y+8A1nfdv9DnQ3rTT2tcxMEVIOqssk0U0n3dh qyOtWuA8skjfiUYhz8vLudJ4rhkR8sPA2jCy8KYinZYkGuVAXBzahkUcW6vetE3mmsFnC7oaAqv5 bnjtY1xffIQFQdrxunb07MS2QSCVOH5J11dX8qiiGsTNBiHPJiRK4gnnSc2eagS8bHJz3oDUw3mJ OzuYveNDPSFZkNuIBhXxMLKcjZ1PQIEMRkuV5k2wVNLQW7GKRt7CdxzgIFKBK4NrWs5n2pgcK5U6 jenCYQH9T+RsddmMhaSA96asDiGNoBFCnPQFQp2oDW4NYGHzUdZHAvD54ye9Nr/fq/dEEAMg9FYC eKSdgEbv5FBARD8fm6v/8bOFo5EiMzY7U4LkLFqpSEfG5BuM6wBdmp6JPPzc9hhgadWa6rGk5eT5 61fqOaSlaf/4UA+Fq3ef9LMAEKQ25wCPo15FQLpac9bDeUsUYKdryufDQ2AysQ6tSWlZ/69OgnSr cyVljEZjtQwVbUJFkzefKQANuAC4uMES0KBC5xrJbkbv5/o8AWN0WVAJnbr7TPSQ8AN1TnRp+WKA xeG+tXJtGektYMs0aAoHvE/RmaGH5CRz48fgwij6zGYW+aGF+XivR2jp/uUDFiCB4E6RzWZjNp3Y eDKzd+/fW6t1Z/F8LrCCk+Fm50laHQ+tAfdjmUr7mWaJOuK88NPm/+n6r7ab0nRJSJkm5uWEPDcr 6WSSuGofITxj5nnSc4MHlLQhUTGSy5uj5SLJJhs6LgsOJ4vcHD7OI6EHcBXr53cO9+3N85e6kdUL V685R846pneugZembVI5uvoRIzabDRvnhQUitP2TI0cYM8Bz7FpAUK8Xvloc887zYxsPhyLty6lv B722lWqRLT1SJVOEwbNe/k6vX6n1BpDDGhkxKNEcm3EwHAr80VixMQEbQJZhDOiekHQAekG9YtN4 qanIDI8lTSXV4pzPBme6Plx7zfEbU3ToWIDejZQcGUaysSjXiyktJXrOe0onGOOh4k+d/sl9P3VR WLmshwifG8AKt0jvYH236/RnpNS09uRWzLwOnBUPBYAnKIUajsoDst6oiWjHVeLk+Nh6tqNo0FVe 7xUFAo4YBxK5c8/19nbUB8mDqmjF4fthyUVT3FPr9dq8wGwbuSGuT4D1BS4/9SxZrG14fa+x6OVh VXqh0DIrJWsbjwYaAd7c1t1oJsSJujlzCxrLrE6bTKsp3og0gkEOGMCxCSsM9zRPJfuYVp6dip1+ PLVnJye2HM9sFa+UaiajmU3nsQXr1L7+xXfiLNgEHBPTjqvrtQhvnup4e0MGE2G4IQ4VK9Wbdjm8 cKXwbkcRFgQ/5DQLspoopVYKbD6e2fx+aJvxzIJNyQ6fPzN/t6xpPGnJs0F/YCe7B1a6X9iK0vlt XxYtjSAS4Q1RvA5LMrdLrycWxKntZjRfR1YNMePLbDEcq+BAPZQoB8AhxaMwQUoFwHz48MEqrY7G rqPkrplvi/uxrdKSU/SnZpvIt9liKgC7vrpQdBtjA411CxVHy2y9XCg6piI3nbjexeViZrPp2KhP YhedzpY6zlYW2Piq7yQg261MAtG5BRDqv/1RUeU097RXLTfwxaW1JVdBZ+UavOEsASoeSlQDEQjL eno0smk0UurN+Q3OLgWe/+l//p+sf3dnYbtjFm+s1ahLuoFmK/FC28R4gpV1jxV20ynOEPdD69Sb kkPgggrnxzXgfcZ3A6smng2oRnbadnB0ZC+ePbPh1bUtl3MrtZyk5TGtLz7CoqBFlKQbJHVPUG74 glwu0jFuZOmBEHfm7qFEUgGtOPOVLRKnJFcD7GxpGbII9E/5kABZEOMFtYmVFs03sQSTsg3J0wh1 928TK7fqAixNqSn5tpWbhKkSSGWqUK0jS+C4Ib/xd4dT4Zh5iistaTakqXLRm7MOZq4dT2YiMvF2 Hirvqipp8kOHSM691gGX0nYuiQdVNIz0FGmQim5NrhXWLNtsfmejfNPsVJ9bpdMU6A/GE5sA8MOt gBdAx4+cSIcSPn//fHkhToxri5yjtPadp32WRwmhiyAX04V4M/loQU4XFirwaJ2OyGiluvf3Dx7u Eqaq93Oj90CASbVN9ji5BU6SJnbZv7HSXUmDP561GnLe4LryPt1eV6kW9tU8HJCMoDGTfU2z8SA5 gccj8oyRIkwZDMsAkMxNo85lLGqGThI72jlW0eXdu3c2vhu5/s6oouNlkYqyiGb5jDQHIHOvVbT+ CLCIIJNMg3bhVVuthh0eHFg8dl7voioemeL9yz9b2lRoO5lONCwziJcP/k085bk5CnDi5uHm5UZR tYm5eZW6xczJoyKEe2mSqgUHIEIa0X1+pE0m3ytApt2y1/VvFAVl1bL1T8+dmJFBoZkjWotKmgzh xjMR11kQaRPwVOYGp61HbgjTiQAX/yW4F1IsCgOAIyX4/b098TmydBmk0mLBybx8/Uqp1+dP5+KU SL9UxapU5a+10+5I8xPXPFUC0UUBZtjguArU1nqNlvl1+hBXtr3pu5aSdtP2Thypj9kgEeloPHYy jrz/keNmwyMLEVmeO07QEkUhAOCBYEa9nwYl8TxEQkQ2tzc34pcUicwXdvzVK4EUnxOfY+HEgNQB acBvfvMbnAf1/gAlrqGQ7IW0gN5OechTya0gVdl9AIgoju3nf/YrOzs703sCAPV6w0keSGmrkXWb LYlqEcQCjlQ3AZyCpwSsuJ9Uhc7tsWXpHMeSXXzz5psHcCm0YaTrhTe83B9yXrN4IBbHzmLCkUen Bq/pZTIPVHT+8ivZaj+29eWfsfe7YZs4NXDTkn5QDSsEnYVXO0Al4WhuCePmy0W23WAA6ER7PPm7 cCCrWHzSJsGS19mrEFGgBXp2sC/gskpZqQrlbMBGM/QweyNaajakvl/N19YfXTKMzmnD6LHrdDTk AUDFX1yuCOOJXX0+FzhRjQJcuxunkJevFqlrPkGncM7k5ge8NF2GDZ1ltqI6WHLFCLyYyIvQJdEB AKdC0QBQYIz84d6+pY2qGn8BUrmGbhOV+jk/wK/kZWr4RZoBMQ+4a3qQ76kqpkk95bLkJFT+IK9X DEhl4jPfK/uK7HocWzkSOKS1us593XIe7Xw2cEqcu/oQa85bXr5Xtao0TvQZcg00k5H+T7ioycTm sZOMYN5XbzdtuXFzFkm7uns7kg2MaQdiNiBRT72h60kUCBeoEWyzmb6ngkhuGVR43QPgABcVUkCc 64DmjeOCOyQy4zPh+xNzw1WJ4nhNqrOv3rx+KJYU3Q68LqBMFrC3s2frLFHqOpmOFG0DsNNvfm52 cGSPbX35gJU37ZIWtdgcTCCmOTeOrdvraSNy8xbpBjcmf6caJYfIRu2BsC/aZQRWo63adqKtJxAL IcaLyTSkYLnBGxGQGpXXrl1EaufV2pr7NYFCin5pOrPBTV9P0YJcRSKBq8JstVQvHMdCpZOf0SQe yuaAMC1E+bxBjhkmFiDgNWSPUqvLEUKSjPlC5XiJKJWyRdZq10VIszliBqS2Wvp9NiDgUypVFeFB 5nMdAAZIYxpz1YBTctGjvNjRY3E8DGVl0CoWz4yzwigQziiXbBTN1HLVzC2YZesymsiDi+tI+R+p wpJJMfkqIhXOqyCi1Qxddmpw6b1wds1nJ2qKNK07+VisQqirFDqnAShMIBfgmFHF80ArEw1XIz2A 0DwJPHERXa0eCiMsFSmarmLHPQPAFdN5DpiK3WRasxPGch2IzFQ9ZYhtXjwoJkQXNtPFcRf2OoA8 7WX0ZmbIdPJ7TLKGp1H1X94iAkIjRFoEUS0QqkRuurBSGsebFGI+2ajktsaADtU0fpYm5CKEl6o8 9MV1QNgiUoSnQiBKeRwXAIzhcD24hzPCFA7AQx5A2RwivtuzSeneri8vBUhsYqppRF+4YnKj6ibN JwtDqvNvcESaxTfbivTv1psPQKo0Ni+LsyE16p5okjaPXGmuNDcfbyXeJG/vcZOFqwJbIjBAdpWs LcUBNRdMct2KjYYNsFp8tq7aRgTJ6HZVN3PdGBFNAQ6KMnKbGqnimT5DlHh0YJennwXagBYbG8sc OgM4RsCJ7wFMFC+IuHgNRtLzxbGTWgJwsocejZS28zlQ9edcAYki7VJrTB59qhKYC1o1wizvGCjG c3HczUZL06n5eR5m8pnPle4CoJqLiMV9pom+J36MiGo0VopbWF9rZBoV69z+mL/zAOL/ed+H/sj8 fIv7j9IPwLuJY3GeBZg9xjLhFx9hMXWmeKIh8oS8ZHHzcRPAFRVDINRAm2/2gqMY3DiHAuxtyzQ2 E+LX25a0uuKx/vPZ/2F1uIxyWZUl2lfi6Vyju0aDgZ19/CSPdTYQoMHNjOiR1ENancBTpAfhi6UK aR0AqOrVfGpvXr2WqPHsw0fxNfz+n/zpr5RuIRNY4aGURx1Eb4xEzwInveB8nh8e22yGkptmbjdd mcV74zn+/d/8rdTnKMqZJVhp1DQ6Cz1RtdOy5RpX1KqVkC/k4IPdtAYn+IElWeIAobySywMbisk0 cD4pnvFssIxJNRMBBEDIZsMLC/EmqTm2zUS6uFscHxzKQwuw2j0+fKiqcY58hhDXgMePP/4ordR+ b0fcEun0ZD63Tx8+OA1bPp7r+MVzgVbR1Pz546mAnNfi7zuMzqKBGz8tTdLe6jMuCPXC6lleX1Go UWUSA9erLsUd3Cui4l7hOgBoAA/SFHixd+8+KPLVDMrnzx+mc1Mc4E/sgNTbmOu/+BPA0jVqNu3l z76VM+s5D7bVQtdXD13SeXgu7pVHtL54wCKM5iZQFFVxU2sAKsz8FCEwn26zeeAMuOHYENxQsvKl /5AGZC+w2db5RemLUfHzhX5PwyHQVOUq9Pdvf7TT01OR4h0/cm4QbCrbKspDB4R8gchv/9kLbRhc UdkAnWpPXu2kk5gOchwSkt7di0DmpqekThQmrqOZW6YkG9s/PJSrJVVKAInzGsxH6h9Ml26ARDHc ALW5/KyCyA1PZZYgERkDK7JU0SO6JI4tKtcttsAGk7FSytV9Kj+pbq1h08XEqn6ogoE0YhqSQKrr rH9JlyHn3YeRSWpAXEDhgofFKkvsw7v3Fo+mdnLgwOhmMjT/n/7B/HcViweTh7mAxUxEwKP4rDrV ulK5QmxLbyU9jQURzudOhZHPCEDAxqeIoPmiCijBbl4dLVqKaf9RNwNGh7kPl9LZNLHh1F1HpaTL pagE7rFvv/7GiXNxl0XfVa/bwfGJuDfuB16faFCGjgiLsW3OjQ/5O581x0yURjQJYF3f3Oi+cQN2 q4qouz+ZgO0/AdaXtei3koNCpayqXVL2zatVrL23o768aX9gF9jq5nIHIgDcC7ipITe7R/vmo14H 9My3t6dnihg0LIH0zCp2lHuJo2fiRvrwT7/RzVfHRYCq4mwukh0x6iJZ27NvXpi/37HtzKV/9M4x 3QU9k/zGmXc6W8qtchPVNCWYdo/ewaFFjKhCwJh51mjtyIBwxjBTpvXUG9YfjlTlYnL08PzWVmGm KOTi05kd7u7Z4csX9l/+5m+sRAdI6Nves2dS9M+SxK6GAzt5+cIamgaEQSCvYwK2aTy3oB5ZOV7b 8LJvcZrZ7rNI8/WohhHRHf38W7kbNGoudeQrAdzXsYZFtA4dnwegNHZ7FjRrFiVm37z5SjP3wkrF jlpNa8kGOLPNaCZujorjyZGbcA3fRLWxdbyv1DOYOPNBPj/6/ZBLhIGv9AwZBqS62qVyAGHjF1xj kfZTIOBz4b7gGJAtaOgr3FfbyQ4oenTbbf1ZbeCn7qtjoLTiGpUtYkp1VLYX3/3M6js9jQDbwRsf t1BMGSnoDEb28zdf2ywt2dt3pxpNz1iy48Mj69/cKJJHi/fzn30nYIf35GeYXYk2z9KtwPmbn31r o3jhJB9OTfZo1hcfYbG4MeGP/GpZT3kal/HZxgZFvuGQ7/l0YVYxLKJIE4kySBMoaSNviNcbRUnS DOWTbgrtVlG+ZmNFuElWqkrT2EBslNcvXqrKR3q102w7HQ+N1eVI6mj65HhaqzpmmSuhe2bdgz2V 8mlDEacURFZBFgDnlTiSHikFv8uGY9BE//LaQBxErQPcMOcLO1gduBl4gZMYlMpwdpDVTo9GNIhk gtfgeGf9gSJBwIGoBkU9KREpnFp/slScEauINEiPGX5BxPbhN7/JtVRNNRS/evVKAkl4vqhaVxrN NZtOJopuqPTRCUBKiIKfyJFjUao0HDkPsd2e9fI0/dM//+A8zXKuj+tWzH4EcIrPtSDnea+C6NYX qZWiQTfKrBi0Sypb8p3bJ+k7nw9un7wXwMFrqJDBeLQS4ll0W/ksRaLBPVNrFtZDgC4+8LJx5lyX czXF03ZFbycjxYhQSSmJommJIvLjPuLe4DOhEXs8Hdv49s4205k93zu0Zs2R/49pPQrAUombxuLS 1jyIS6pjjYbdXF1blSm9laqzjZGyuiTyF1AgVaKzX2Z8ucZGlseY/2XpA0mrAZ80RUOWMzfQK0nC gJ0JVih7nbb4G3rRAD/GzBMNsLkaflnAJKEkKmt4FN+zFmp73xMIETUAqqQT9U5bfYDsEsB07/VL qzDzLwrlG64BsOPJAznev7oUULHJSOcKghcua+uZnfT21d+nyp7sdszpweZukASSiqrvOckAA0Lz KpbS5ulE0RUbDG0YBQH0X4oqGjVprNS76WXmhaHdMfJrs7XL0zOp7hnzjjxCQMDgh3LkNFCAeynT 9QMI5BDKnL+LSwF4p9+x3cMDpbk8KIrGcI2kJ93NexlJzz5fXT6kYHwVGqyiXYppRbnfjIpu5qV6 GAE2VEIBKlIxeLs5wtIK1s4dvRbvw/EAqrVeW5Eynyv3CfdNMUqM+4MImHsLYTESErUR2dbe/csP +jx4HYCNVBDABvw1sKPZsNFk5D7X4Uhe9pvp1L57/toO272H2ZaPZX3xgIVPuz7sycQi2+rJBjdA +oVKHB6GG1o3We62UAyO+PrrrwVK+JdjRUK1Ta6gyAkWS1WC6uWq0jhWoa4WAY/2B00QLpPYKm/W mk93c33tUpL5QsAFWNHYXFTFXnz1WhwFN66igjjVZtaILdKhXLUP+LFBNsu5WkdoRIZfEUHNBvYC RULnP76zKTIJ9D+1qkh9NgtgR6o1vp8oggNocQygD48eOlppiJwaeRGASKIQu6ocj4X0ZGoXp2cy omPEFdcQUhxFOT2F9Fh6i5VVuy2NtcK11UtKatg2jPWiqqIvlei9kjgz8YrIJPI/N5w/EVS8cT5k TPNZrjQ8lVHzDA3hOhPNcVxEYIqC8gG1RfdC0QdKlFjMQFQUjXAhK9k25T5JbJ1sFdHRToSOahsh Q3EVQn4Pr6w3b97oAcT3fvFnv1KkeZhHRgAN78nnVxjyQS3If4ypQmFZhR9SVdlQmydZB32JROKa 7M01p+2q11XBBW0eD9UQ37CLa1vEOM+im3MP38e0vnjAwvZFTgjmBgywKbblip6spImaRbeKnRyh WtNNRTSGLQqpAEptjX9CPDihPcaVyFX6RrOTl78VVSFE5Qnc67pIKxdxDkYjVZLY+EOcDZpN9aih 7OZ9aKWpJc4ipVfbdZNhNqkcLxnphNSA35Vo0Uw3tO+7FqIsc+6avkatuAonAg1IcYwKSbmWyUK8 CrYoRDxoj2T/UqvZYrZUmR0w4fVVTVutbXx3r2tCilpULgEXaYQQROYtTcgJAD+OhUIGWrFCYsGG Hn6+sD8//B91Dqtu127fnVoVCYHn0m0cSanIxb0dyUB4UHB8/D6gQLok08A0cz5YkZt/CH8ET0gl tRiYUWilND15vVbUoj7QXIfFIurS2DXSrdziRVOt8QejssiE6fuB+vg04HbqLH/UqRAEApSi4qjf Nyc6lo31eCIQd3MHnWK9Xa3r84Db5EspHtEdUhias5dr3Xf6N5riPV/vT1pOwzQPLwaCAVxRnm6i oi90W49tfflnzNw/OIsgtNlyKZ4oLkc27N8p/Si0OazCoaCoFLKkUs8BShW2fEADDqXiRNZOo8Tv aIx6rWoHx0d6Wkq7s1ra+fWVlbySuCv0WMfPnumG+/Wvf22h79nezr71jg4FdEROaLuIHvoXVwI3 gGb35EhyAY60iHRYd2dnSvVIwVQ+b7UUIZB+nZ2eWgMtUbMpQvf41Yv/j733apIkzdLzToS7h9YR qUu3npldDLgGqguawYy8pAH4vVjSiAssuQbs7I7s6e7SqTNDa+kBe97jntOGf8DM8bayqq6KjPBw 9+98R7zCGIPPLj5beR/7pDGxkVrONypBCM5oRGF9BSwBjmD7oCNeIWUN/R1BM1B8mM01mYQKA7aM /h7Xj7JXxhSrtYxUmRw22h3LLDf29je/t+F8JRWKXT601wctldu8F8MMMgdJAFPKb7bSk3KfwY2G J6kccgn3o0JOvEDun/iWGMlmMiq100wwxc2lsi0ESaaJvI7rQpCVVRolOD29BM4ggjKDzXjjAY/G /War741q6G33XiV6Nvb7QRm9iubaIAg0BGECzQ/fe49NoNYgtHXsZayMTMisIqa0efUGRa9ar9Wq SMvat/beZgunaQX7WKV3CRoUrYn46Vl9PfqAtVWqHytTAgtEpgN4D1NMiegtnN9FYKJRLSoJjeMw lLde2iwnQxMCvnOgxSGApCY5WwUpAJtSzly6aQC7JeUKn8e/p2RrFhAcO4E8S3mb3g2sXTnRa+hZ CeCJ799oYuUoL1oNuzHZnBrzEKMxU+UhR2BuMhM8QPw/CNqWdW15rLf4t/lc00kCFb0uGr0s9MNn p7oO5z99VMBKgbPK+OYLeStKOSIbimtItiGDBQLIZqfggfRy0HYXbDYC8QWhnwShjaZzG952xUN8 /8NP9hq0QLzXNRjuetKIAlHPAr+7v7I//e73yqBE+q5V7Ztf/kI6WoBRwXQpy8XrMd5pgldSxhdY tDPhsQgAKVQgJY8TnG66PsFMFRI4CHoENPW4Lq7c+gsN/yTQsNHweq4nfSXJ7RRc0oZsnLKP7E1O RqWyzpEJIMMNkZkB+e7HckTiPgr+sFyrNyYhQQYNuHFD0cEHEukg21uv29X5sVlI9JGAXS27ezU9 1ULOjp+d2gzye9E9Ap7a8ei/cTaRpFX6vlxJU5wHuzsciD4imdyEqsPBw0VwIQDwUEJPYXcmWPGA /vJXv9IOTl9CUzFKwzBSb0wk6/lUQFCaqwS2dKcEO8ViheLDApGOVadl9bAg7JQBuRDBeifA4dXn c0m+oEfF+9CgrR8cWAHFzKRpzHl17+4kUcKipCdHsGOXZnHUq1Wb7LZamJCmpeY5n7rOUt7dlw9P jt2tJaEEYZk+T4CPTLCE10JAD1VR+mOJMgXnyGdhSEtPSRPDBEME7ooshg2ADOLHP30vDmIxdAoK xlX03PgZskmJKO6hXrqRKn/Wew5HCoppNsTv49nUg64USAu27Hq2xL1hippmL2RbBCzpTiUTXJ4D gWAzGQUh7mOu6BZcsAfIbsn2ZLwxnYnXiG2XmvRkTAlbIpV05n2ZegLIJSOm7yVNel6/XSsTJItH aYPrwcDixYsXD1xIDoI29B9pyE8mKnm5DhiH8BzWXjyz6XSi8rc3HNi+Gtt8PpMDE31DswTj9kSO Rx+w1DXPxLbarrRIshvcaswajZadnp5Zrl5W9kTvAG1vHqxyo2nPO22NpD/9+Qft9Ox49FT+4R// PwUYyivQ4Jc/vLOrm2uf+JXLKi9KYU7GC5RAlAxnr59pR42aDatXysrqKvOlff/Pf5DDy2i7tkZU sSmqCGh1of9+eoxGsjKXMMpbveHZGUjs8XCoKd6n6dQQWm62G/blF19YvVaVvAy9L4LkZDKybBDZ x4+f7WiFqcJUaqGVTN7GXbTWcza+uFAp8vaD24G9+epL271+ZsVOzaWBb0cCoZKhgTVCjYGeC2KB LMRVjGJBaGGQsd1qabvlwjK5yIq5yA4PO3bX69vJ8RsrlauOeyoW7UWj9gDdCKsFe3PQsvth30b3 PWvVa8oo2UAIaKVC2Wqttr17906B6Ouvv1ZQUwDI5m0HDw/VC/BXUhktWSn2DcfykR3UWvbDDz/Y sxcvNEVFifX86qNV220Xz9usrX8zkoqD8Fr7vfpG08HIBvS6ZnN786vv7KeP7zXE2M+W9ud/+K8S GQx+9bduJtKoWumgaZvRyIqdhjYIrinYq8NmWwMQDTnIQPORbaOsJqSb3cryYaDgT/O90ahZ7+5e arb5Wsmy5ZztUahYrCwzmur3n37/1iqFohVffWeZVWz2xJANjz5gsXtpWpc4lUhNgIb0ZqMHsNJp uoswVBLcTzKm3ZqJD72ZyaD/QOdhd+dBZKFSutHEp7xDWYFmvqyYolCloHS+c5GVckXtrGRQLAil +lA/wkiZGJkH50YGIVsoFFDJok5PbZwvKjiJ8sGEqRCpwSyCbZJFkE1RGpJhsUDk1FJw7XI1kzfu fI0xBWRemt+oChAswARRDlJaVJJBAN+HUkYKnrmczZZ7lStkkMpC8CcsuTM0R6FeepDF7VBCPQAA IABJREFU4UjNE5iSEdwwr3/x7LmyCjJSMheCCSRrAh+9r7BYsqODQzuq+XSU70cAojSdTnyahwY8 BwGchU+PEErR+P5e1B7uDf8PWFQO32Rh2awdVVzzTNLIWbStfZJLQOTvyCQZNnDt5RlIczyXd2PX 9dYGm6GbRAz6VokKlt+ZQzvCjExzoXvp2icqsZwz6hXn5+f6uVpUECxF1zfIOpk56Ssy1Im3aytm 6dRllKnRr1MvLciqx0jQ5t5DRh8PBjYYOe2ICTGveWrHow9YIIZ5GFPb9WJY1m7Pw1ssV2xtO/kR yu48abhLr7vpfZ/X33ylvhXlJDs8agKUYCKuTmcKUiI+l0t2fHaqRcNDqZ4J3oPLrfpPhm18Mj2j R4bpBU3skL6NZSXOB+5nOh5bEfMJZJsFGFz/TO/de2EKRGgrrdYP5UVKuk2pQgRWzCHyCBMidYIL UGLumvoIks1JvQIdqIb7GHLOACnhE3IQOOQGhHIBGWoYqNwVt84yttgu1ZyWx18iVCcAZkKHAvKA Eir9MHoy8P5y9Iq2O+GKMoXA9uHO6uWKbQL/TqIQ7ZykvE8UHkRYDwItVO6dgtBkrGyVsp6MS0YS eDoW84IKIFlMABSBOpGJefbqpb6D6ExMFWceZARMHY70HiDx4YmCvWKQIpmecln2YfuJy9Vkiy6Y GDDBhCHR7fvU9nBr+2Cr4MN9zcA/BCrSaj6UtUyoM5GDRifQeCBqY9u1x0060vMjYcPFXBle87Rh mY7jCSXMWCwJN/fUeIRPI2AlKgE8XL3BUAuwfeSee2RDBCD6JQQHFDgFiBwNhUli95fhRMGhC+zs 6jVgj4Xp6WqtHZ8FRIA7fnYmMwQ+4/L6SgGjXau7YCBTKpr0IO4TNU3ZdN3cqdErs4qMubUVbQka 1ygmzBdCxQOrEIZsitrlQpUuCwclCA52dzInyhkW32g8VjBF0I5+CyJ7+i6JyN6m58JxKCpIQzzI CvhKFsTPppnSeDm3YmAWhfhM7aS1TgDge9AI7w/QPq/p+qVqFALaMsHCtWe7s5urawVw7oEwXOhm JXy7Sq1s6/HMycCj8YMIHqWrZGmYrG5dXofz4T3oq9GbBNrA9SIAEOTJ+qBVEbDIiJDBIZOkt7W5 cCFFYBgHW1coFZ5ts1WGShZDRvSh21XwJJjQS4JSReO9fnwgt5qrtx8EXSDAk2XBmpCaLZAIMsP1 WpPdk+Nje/nihaahBHPOn0OKFDiIjzyrm8192go+S/I5qIsS+KsV3W+GFqk0zz5jQsKDIWSzY2j0 1I5HH7DEFZN00F4BhL4U8AAIwjFUCUxS2dmYEq1C7cKUeDRMwdLcd28VcCoFt3/3X24WqlF54Jkb 7w/JlbY5pSTOLwi0TYKBelz0ZchmyIikNLpaqS+zG8704LKwgCbwPiza5Xau9xP5GscZAtDK3YHT Rv5Bq20fLm8emP0sCt6r2+tpUX/x9VdWqtb0OQQPwImg6Alaw8FQU7FOw40ohH6fu+ciWU4qJPe3 v/5XwpTx8wwM0j4aQQJIxwEqFkGobIngizMzgQT0PAvspHWk70HwTa2pUjVNvgPa9bxeonh4C5Ya gn+wQAlYubpnlKmZKjAESShHke7V4uJG0IYq2SWuzImGlMvF7PV6vQ7p4WQaqs9ducoF/8b3S23s FTBRnag6fgtuoTaDallDCzYP/p8pJ0eqNiu7tvXaX5vIFQmvFTrkIVUWJaNTsE+ud76U0+ST86HN QJOeg54qQaw7nkoQEDT9YrW0Z6dn2hw1KFkn0j5P6Hj0AYucPp3yCVYAL6/TlpRKHipHwadSIIkp 8SR5m+hlZeKtS43QpYd4mojDkRFREqoPlssrELJz0mc52K7tq+++1fQIIOj2fqK+GUhqmvBhfm8V 1B9ikznqeOT4I7BePKCcJ7v+artTP2a5MzXyCZA/l9SlzwIfj3MCkgEGioNAxYJmhwY/Va437K7X 9QB34EYKBAwI39E6ElhzkXMqCdnQYjLT50vTyza2zC6EiFeZgqoArIDRRNkQsInlaq5ASb8ntYYX RSYxesV8QRlKs/GgakE2RdYn8Gou0mJFoYLhBr1DvidZGdgrHlBtDDLdAN5R0DSPIAEWqXl2bNUU a5XPKfhFce4BnvH7q987iBXdqSjU4ITLzes4lEWvTFlntdWwF7lI90FehQwdthvrjsa2DnyCqOtH f4xyP96ISiUEPdkgYE6m0cm9WPf7+sy0t5iSrbleDEPC/c4q7YbNAbuCM6Nvt1jY7vpWvT42TJzH oSTNdxtlVASpRglStm8UT+14Mt+YRcSCjcpFe/bqlR0/PzPLZK3XvdcoGjwNQUsCftBUwEVlM9ap NYRBAuuk0gTDTnpAu1jlSb1Q0cKAqkMwpHnfqNWVsjMt+vEff2uLnut8L2yiPg74Ku3wTH/Qlcom 4Ei0wxPgIkGR9H+4/0sDOZtgd4Qbwzp9udJ5UKJB76multLJIptjQVHaMpWj3KMHxO+buQNdlVnG zi+kRAEnRNAEWS4lg9h5klHd8WPVsKZzpbfDVAs1Ahrt+0zseCUa4cgOM2Fj6ID/YD6ydbxRxsR7 EOzFBiiXBNXge2iIsF5Z6+RQBO8c5SrfKwwEquU+qKk9cct5Mj2+C0GX71g5ajsSfbVWEFztIKY7 X1J4tgS0Ka9JKEYJ55N7S8YmfXyI0k1XReXacy3YvAiM6WYn5QkCEb3PYlHfJ7db8wJlnmDDmnm/ N2mGRaCKttizrd0dnGBYLgnKgOkrmXi5VVW5Ti+OSSHXn2k1LQBJ2EwXNl/NrdpuavjBs0bPrpUv KyN7aseTCFgpYBAMDTtgyi9DdYHmLNkBAULYRvTO2c3pJ2BiOZ1bN2m4qwcDCBSRPMqbxVyNZmAR YvBbRuk+5RuNacjAqAHQ66L0Icikuu18LtzC1XiiB5msg92cXZQHndc0nz+3RRhJ8E9BhJIkaZwL zd7tWvfmxgMLDjFI3CQGo+zsEvUrFLWgyvApJ47nYYiQNsbf/vCjFrVML3JuhMEuj1Ac55vjeiQ+ fyx0sF7YvAP4LNQbtsvslKXx+RwEAegqBJxcqWDbQqwAA46L7yzFBxYqpF56YeYO1GRPkKkv728V 9KEcIT6Yh4eZgEIJHgQO7l8q6Hd+c2ElacNHghiwCWlIkck+BESR3SVA6BQZXpe6QPPvYJo6h4d6 f/pYkMelk4/+VLNpxwctiQl2r25sPZg8kJSrobcauOap0QbXkj+rPN9tLZi7iCEoPwK+1E2BvlTK uj75akn90rBQ1EbGUKIPbYyNMxuKXgX38tuvvrY4CtydGxVb8HYEdqvaUzqeRMAiFR/0etYdjgQY 3S43mr5cXV3b5Yf36h+lsrcs0lTyVlZcx22rVGu2GuxtPR1brVzSQ5w6DF+j+rnbaGpDb4Fp4x// y29UZlJmfbi5FMCv0qrZ/PbWPl+fW2/QfdA3z67WtuoPbYrqQ78vJctANJHYmvDscqEMGlhsvH60 nFsDPBclV6NijXLBfvrzDyoNozAn3a84CO2rv/kbO3n5wubdvs1RbmCKeXpi7ZMjjd3/7f/xv9v/ 8/f/l73/zb8oQKLMmans1dv7+l//2hoHbZfRKUYeHJBYAVAJ77HdsOdnZ7pm6tWEkfhv9K/OvvtG Wd463tpdv2eff/9nBXmCP62vUpARVYeAQkb7/fv3AlPeXd8psBAI8uW8pp7b1dYyh6jEHgmwWmBB J2j8YiLlXNmGNvh0o+CzHsx0Xc+vugrO5VxJQwdKcjWwd5BloMzsJV2jZjwUIsx1wUzx2UHosjPt loNDzS3aAIZK8uf5ViRzNgsa83EhUvk8G00UyFMvAInxjafKpLuzkYQXgYxAy2JDI2iC2wvXZvkt aqdrW8dMN3KWrVUsnxDUrwofpUyRa1Slq5+tIPY4sk6YtWlmbw4ueTrHow9Y+NJpOgZJuZBX34TG KWNzUv4333z10DQnMwAXxaKvUL6w+LMZ39GWK6tXqnZ6eCRYAiqeZE3sikyStCBwii56rwg6Cbuh 7Op5/8Q2LA1kxYLLLaOkx4JOCc4FrMfCrPox/Fyr45kSk6mUXrLlZ9mtt7HrNVWrKucAmMJjzCQ4 LHpRsp0C21VzG/dUpYDoQXZxzwAgQYMvRiMFtrTkDKOczSZurVVsFSyqRCpJRBgmo6NBP5tbb7m0 m8sr0Z347gquFmv6RQlNL40MitKWRU8WQYZAFvu87Hpk6UhfQxK5Gmd0DvVdxqJNbLslmvh7ATsJ WMFurzKawMFRROql31NTW1kOCgcAeSkfl4CHM66FnyhCaECydfMM1F4X8A4hx282yjS5zmREADnV 5AfDRq9u59Qg7jnTRb6n5IU2rkC6urp8wMDx2ct+X+0CgnlaBhMkRdfZbAXv4Jzl3JQ4TEs1JDkH BBU1eRZ2JOMDj3gvCAwQjKd2PPqABT+PxSIXlFXO8UgYncpafiOLKfVbELUrFY1WM6UXASNAIwk6 z3SmKVijWpMWuQiw1zfeOG61rHXQ0nsgzAa/DfsonHGu7m7VnBcOKYps2WgJ9Uy/RwJwOwwylnLm ocGuEXqt4s3W+UxKn/P5Ujsyo3EyNbKZLI7Bt12RZOdTF7UTKDWfFQ5std+7nhLBabFURkXA5ryl PZ7La/JEQOVITRlAfiN7wv8THEuAYyfALApGbkPpJ2fmzVqNeHpiKGFSmqQTK2ne72IAcMpAOKQs UHBslMCOWaek4DQE5kmSPAmBXPSXxB1H5e16+2DuILON5L7SxNfnRW7IAEpfQE7oLvg4JlM+lFxl hMoQJeF4Ci+VcSgIQUkAThQeENEDylAuagOgR6RBAZ9Rryqz4nXSSJPJa2Txaulo97JrcWmDWC11 TnzGy+cvFKQJagRUgpRwaPBbERpcuESMSkU20yRgacqJlHOjJAgFINJlokRBkOP54to8tePRB6wM vQxyKTiFUagSAVoJ2VPVwEiR5ThTn54CKG+8BfkzInLryUxNZRrkk91IBFVNyGZzBR8CoTTYi3kL ej017EGQr+hhLRfKsNKAI32rBLfDYmBRZZPFAOSB7Ix+FuakBBd25O3WYQa8lgyPpjxKE5cfP9nn j59sZ25+QG+IsT7OO6ObWzW+W50Da5bKavoy3Uv7QKVCwT69fW8f3r239WTiwZNmcqViL1++FE3l 8u7G4v3UluOpbRZLGwCyZWyPogPTSACl5pNLDgIOGYca97OFri+6WuPQvQSBjqgpjloqAFAWekIs l2nDePxg9pBi5wiag/cXbsE2HCgoOLg1VIZJVkMzWpJBgVuLUUapZ5lAFA7PThRECACpoSrBkBKV zwE+QP9RqrHYt1lGU1f1sBLHbnpSB6fHtsdyDV2wXGjD/kRCfGxGQu6X3cVZU0gmvknWPh1ONM3T RrPz6S5Zp1oPtbqN1u6Ok0JHCI4EfPEplyttnChlBJu85VdOFl+Ya5ZRUj6149EHLI5UHTKVHoGi QwnXbJL2b/Vwpo3dFDbAIhOFozuyXCXSw0Fp9un9Bz1QSIWoAVws6mGtt5t6uFBrYKJF81rs/5z3 O1IpZLIXTcqwuGo27ZCEIymDeP9cuihQPQgjq5aLWkzszGQZKE4wRaJEJOjttnstSMb0NRrYZI9Y wcc7q9calq+5Px6cNqAJHJ16095vftSQIdWyZzGn9CWgEOc3Vz5ooDGeqHOiLQW5W7QdMgAyrKxT UwjE9O9gAbDo2keH1m617drOtVB5D14Hun692z24IIuOhCEFYNFS6eFcUk2rOUqtfH68t06rbUdn JwqY5Fr74VClrq5/01VABalA2XM+F12GbIeMNYQ6FYbW7fe0AaSfk37+ZDrR+fMskNkxEJHU8myu 74LAotoDu63uI89Hs96QXlkQm4L0bBurbyUgKaj49VabG88cWTWDCZHTV2tlz7w3wXKfkqCjUOUi GRQ4N2mwxRuh5PkOm0S7K1WNTXFtT+l49AGLRckDJX0ieFoJbgnMVKlSsc5B88HQMnUvoYRJd+ru hwtfzNWqsgAwTfQOUnoLCGf1TAAWBqEvFkbi0F2KJVvHGeFyKDdFjkbHCMVIKB/rtfwNNYIHLJoY I1CWZMomm/QpNvbgoxiNo6E0nqiMIUBWGjWbD/vSZlLQQlEhEabjP1DXl5/PdY6izkRuQcWi4bqg nmkDNyVlMaaBQpABFgYSLvSe0nOjZFnTE3R9ewFAy2X3AVxvBJFgCkpwkkInOlWfL1QWkz2SsaYy zLpWyFClXpFgzRL343RRstDb5ZqrYAA8zYdiEWiSiwN0tSIyM+qkwARAtwPlILhL52y1tvzIOX6U qnwG+DNKulROmeyFTE/MB+hWUHUSNQsFhupaHEs2B6hJm8lKGa6CVDZnI/qLCC1SDvIrsY3jPqll YFm9p0Qetzv1ywg8CDkycVXZDGC209S5ICTIVBm3bXqki9HOWo2GMtI13zPEoWhuwyDSM1yt+/V8 KsejD1h0UcA50atSE3oyRb7b7gY9Ozw4sotPHxSwyHYIWkx3ZAKKTXwuJ3hCPN8qWzo4PFS2JPG+ YsFmgAZXeTXgpSJJ8EFlVMYGgcVZDFjz1jo6SPz8nJcGxkdGFeCVJs5zBDSokg0L9ELBy5Lh2G7u uw+26GhgWd05ezLAwIYKEyhMENpNlbt8Do7RBIT5BJ++d+qxEAyYYhJ0p7W6FhR9JxaaNMBQVgWX NRjYDqQ3GunYZW12D5Zn4g/SVwHlLwXQtXUBZMamQDghqAB6BS0+ndr15ZXEACXKVypI5wrOpDIQ +J17J0tzrVPxPY40kyDbO3vzShNebLI40IeX52K1KQBwf+EZTdoUl79gZmnB3o1ygQ9I9yyhDakH lUhhk7UR+PFiTJVke/ddTTkhKAuGMl1KK4vgU4yLyqQox8mArig9ExPWFPrBRkWwTClGlOKY5bI5 krmlzs+wDgStmc41DJBWfKvp1K/eQHQl7g8WXzy7VvTAjnfjNBtZMcoLU/jUjkcfsHhQKeF4ANkl KUdYLOy+4c/szUXdmUzkW8eiJoBporU3qTMwbgeJ7ehtNzOglKAHQnbBzxLU6KOAYGcxkvIjJUK2 Bkqckm46m0oJoFl1I8/NeCZCLzpUBEMa4SnFhtKAjBCkOw+0eip8Br2LICs10N79vQi2TOKyWFTB 4s8ELvU8HmsBkVGh39VmAREULaNpH9NDNdt3cPFcG5yFCSYoBVti1k6vSOUbUzSIyLKT2am3h/Nz LlfQa5EPxgxW5TWYMjKCKKcGMWhuMk36NxxkTGSqYJ1Sz0HOjYPP4rtyD/alnBX2dWtvTzQZ49rL YaZadgv5yO9Dys0EALxOFGN5jzYT24x/X/6Nslc0KPBiSGOz0SD3jLYWWSrcSTSpKmUNLbabte3X Kw1p4CmKXL13HfjleCY6VT5feACupq7RkL4JLpIl6vecuJ3wKDV1hdITBvJV3Odcevno7EymqZnN TgGLXh8QBjLYYimvwQnnznUPNp5pPrXj0QcsModcyM0uqKQB48TDfdRsWvfywpaLtX37i+9ss9hY LV+2o86RbZYbu7/v2S9++TfWv7u1WqdlG5rz9ZJtZ5HVWnUb3N6L+Hw/Glg9MKvkAu3WSAbTb5gi f3vcttsfP1i89DE6uz0B5d2nj/bv/sO/t4vrKy2yzCi0i0+fbXbXt311bfPCzFrPT+zZL7+2+9uu Y4y2G1suN8pSUH4QaHTQsz3o6XzBRoOxdTo5u377UY3zwejWzj++t2ibkS8iOKB6qWKz/UzqmBz0 TMoHh+qHbdZ7a1eaVimUhQW7GtxZpXFmlULOyhsAo13pnUfVosVki5WCnb44dT5csWCT2cxybVeK IOCSbVHyHB927NO7Dza9vLZqIW+ffvM7n4rB32Px0dQG9KlydqmFOxz1Hae2WVplvrZ2sWKLYPgg rUOwk2syhqLStNrYdDhwN+fNykI5Xwd2d9eT+7Z4hNCa4p29+forlWicrzaMXl8TVeRt8B2sIiGT jcxmK6tkI7ucz/U5tAS4d2C4uDdkrbUw1HvNybo+f1LWQ0+NTer5N19KLy0KMna4e61MavH7P1i1 Dj8xr3PR8GGztsO2tyVub2/kuqPNIR9Yf7+WbA79ruwqEtRGdvUWaOhApvvUjkcfsJAw5kGTVlFC j9CDunIVys7BkR4IHlomWF9+/ZW1DjreJKe8OjjQQzNbLZTxAC7sNFq2n6/s8+KDvTxzJVFgEcNu XwsJlxwmWmCx2HWlPGp7ARXZpU/7PTVsUdu8v+27eufcP48dHEQzYMRWrW7D+4GyFCRFrNFUBqeG KwTsbGDLXUbfI7U3F8ZoNFT5o6ywdSgSdr3ZdHUHms9YejXcOZnAcHN+aRcfP9loOrHW/lhQgzeV oiRSBj0MVTcP5Go+M22YK0tKoAjI4JBFYonF9eB3+lUEDwCr6gHt3M6KjI0eHqDK/GQkUCiqGSrB pzOh+Fc0yO/uLVcq62dSDFOqJ58qi0YJPGEI6TshNqfXAerQux9+Uibm4OG+Fnwq88P7neCUTYYM PQZZaTBXVTaB3EMpzX1Rjw2JINx9oOLYXtejUa6K9D3rDnTe/KoV81JUaBx27OL8k9OtJlNJ0DCk qCtQu5zM7ZU7kNN6AK2f+id2Gk2xDXLbvQKxMIKrlU04vzhj4TbWBtSq/rWH9aiOIB9aYYNpp/cO mGBpB1utVaKAxj6KQi1omrb0eTQ5iyIXfQNjkzieoB466g7E7+LnD+EmWla9JiZmkKDBT9HAfQZy vB7rNWjDyxQhjESzmOcK/pCPxnKLpgyEv0apSA9rMV+oOXt3daNek/wSg0BBkR6KzEWXLNasFTtt F8EL3dYLiEaqKkFwKzZqFt/fOhp/m7XVfmf5MC/4AwGNXxooSOLYMV/FXt+ef/naPlyeC0zJwIKJ JaWSAJWAMBMjjNQSHj4iwZnmPuN43oepZ0RJF0TK2iBLY8qqkX82Iw4h17h7e6egQ3Nb2DRsz7Dj 2mzt+z/+ySdyzaamnQQUAg/n0F/2rJGYTQD9osTFOGM9XyYldWzb2cKaB0cKWnebOxvPHSPF/ZQG /G7vGvjQtOKZ7iPZDwFiMHdRwnR6LLQ+clZAM/I5vSfAUu6VHHUODnVd6S3xTMj9u1y0feya7vQl ZWNf2Vo+DN27MEZO2b0QkbXhnnGtaTM0ishhZzyz3G2UuUsNIuMTzrRv9pSOR59haSuH2R8EAvLJ 1RjE92yqm1+tlEVD0ei5VlGZJ8G3RBPq7NDt1fk7ZTbbnU0xEUCdFF31vWn3ZxFSrs3NDQlobNdK znvjwYbIzM98/PBBr/+E1hSZ0X3PzSOAUSTOLvQshvc9++Nvf2f1WtMmy7UWC4sCRLzsw0RjaUuS WIE1CSL8Oxklr2VhEoClWZ6LhGJHeE4N9UpFUymoP42TQ0k+M+1iyH55cWHffPONFSywu4k3w6HR gAOjdyZqCY5Ai7nlNpEyxN7Nnb5fq1KzqJb1jJB+VEDQPtSCpAGva466KpIq9Iw2PZF/FXBLTugF zwVMgoyMI9XD4nunsBNKR2nQ33etWKm6Ww1WbtutDbu9Bx7hZDrT9+K+MXChhJNqNkTu3VY9SvWs EpFDSjr6Wmxw4XBgy2RyLC9DICcoJnA+kJjB1G12Kn3JApnuMoxhYixn7PnMgoOWngfwe6hczBKZ Iu7JQebwAXuGEw8lMRsIQV/k58VSUBmeWQJpNtksBCvZukP2UzsefcAiSJFiS2VhXNAOL/5bsaBM 6O/+p/9RDw1lBoubbCFFGouoi2lC0gdhukcpxp/Z8QlC0T6jMg7ZE0qgVLyObIoH/TZZPJxD6rai xjYlymBg8XThE8ly2ZVR0XVqNvQeBK1MDKXEZUmiWtUb1ciV04jP560/HokjRwD5dHHuqgyYNtRr AsjyveWwAmwDUnQ2chI1pRQLEP0urOQP2uLB8R1p0JPlQP2hPBSsYDB05U+UEeKdMlVlNrjZ8O+9 vv68bLYt044fgKwfrj9rz1CjGRrOQUeBhPcCgoDkMJsEr+fvBWlItKoIxNliUaW8dM8DD2qH7Y4C 4v3UFTRY7GReqVeioBuJSigwDILptOhSxWwKDxLDZGn3XWXTJTLpSlnPBD+fXkfeJ30epH0V+2ek xh2FbODXolwSWHWxWVkeRDrfmanwdK4Mm2CpKV+tZuv9ThsMZfnh4bEQ8O8/fLDPF+eajBJAgY3w rNUO27a9M7EgdvtYQa0c5myzWAnGYo2aPaXj0QcsJuVhzkfcUvVkp4KqgywIk8CDtpc127U1yz56 pplJv4JG7GDYc8mWTMa6dqdSUBbipaKdvHhmH/70g/BAHDgws5jpUUC4HYP5KYKedyWCq8tLLe5m Al7V52Z9KsjDCOocwbdGoy7ZZRqwPPhMOKUpVa/rs6Qrz4QPBPjtjXpsWky7rTVKeBu6gSuLP9We kvBf4rTDe4mTiFzKNvDp225n9ZZ/T0pljBsod6CtMOVil0elAl6buI9J/4uJYp8SBsjIeCKLKj4D gTsQ/EKpA/5cbUQlIfAwpWTjQCWhnARPAsjlzbXel6mobNBykVD2cssZjpR5qIcF7glVhkQPCpE+ vifXh+tKBsc5cJ8uPl1oCkgAJ1hCXSLg7/dZbUZsXLy/wLZwHZdNu7u5UT+OfppIzkz9EphLIQoV vJzMHdunqysgrPbm268F+aBfxbFeuJQy7ym/SjKqo0M7enbqxiLFvEjNpaioEhJlV8pyzhG83DBB utMPpDzleduBoJ8v/BlAo+0JHo8+YK03Oy02yg4JqSWKjimc4bbX1YNOD4upDcFDOzt4nu3G6gdt ZSKzu6Ua57/41S+12Nj1337+aINB39qdzoNqpJxRRM/ZqGnbOj7UwkMbihE4/4Y+FM47Kj9X+N5g I2VypZHSZmJ6wUJ+/uqlFgivkXeeQKF7yyQcNj6TQ5ZQjbqgF2psAxFgcpcraMfj8L/qAAAgAElE QVTm3yklOGj4iy6DRB/9mEKoP0vLXf28hlRLCSiAJIEkUCoddDp2+vyZFiH9vvtezw5bbcEXCKpB oSTIA9ijeJyxXdbs+PBI2cJoNlLQAkFO6ch9EIXlqO6Szah/4q/I5LLssA76OdWKA3jJ+ihF0+yU YMA0dNzvqTwmmNKLwyCCJjUZMyBRRP54H+zMTk5PXUef8rhY1HeSgUaCbifIYet1/umzek7xwhv0 Ka9PwM2Eu0g5Kc/HxMi11Kg5ih2N/sBLd2R8kL/hvkX76MHLErAwmW1vPLSxTTU9Bk1PiX50dqrM jJKQ7A4yOwojCn5xrA2Q5zXcxPq5p3Y8+oAVRYGtYs8m1P9IJILl2kyZxO4OIjmK7P6eXdwxQmRZ lHC1w6Z2aDILie/Vqhau87Yc9m2AJ54MGwLLhzk7oaRoNtRvIJiwo9K4rZRKdnR4pJKLXZudk8Ag y3Skb5dLlSD8LAuPXTUFp7Izu7qAj7sJJkJpE7wyOb1nmvHJXSfBIKFIwZ/pRtN7AvSqTIJSKOHq pcj6YqutDIL3BfT68s1rUUyODg8t2u7t/PLCRmji93o6J0kF00fL5VzHi8kVdBXQ/wn4cnK90lj/ 9OWZejiQx2uFkmuoo6x6UFff0FNgd7IhCMgrsJCXugH/zzmnSHi+K4f6VMOhe0ninE2mkiDXCW6y 40LS+dNH3Vfek2kvC5xsB64nxHY2FYLXZkqptXoAtYKfG2UCG3R7ytjoK9F3IgPisyU/k3Wnoma7 7QYYRSR0XIkUjiklNJkvwZNflHcEUShhAZCN3Ub8yHyQ10bFhrZfL12sEWAu08lEqFBSRmFWWbA4 jy1XJ/0rNecRHplNbBtKCOgmNFtlwkDzmNKoogAgD7leV01boAloVFGWMFZ/8/qlHkhKEEiwPDxM 9TLbnZ1VW7bKrzXpoadCMONBk1QMNk3Qf7KABbNWrdaVhWWCyGqVvV18ODdjZF2lzKvZgMwDS/fD Q1vvYy3WV3/7K1v0hh4oEhkZ+hYEIqACMj9FSTPJDorVmtScFyu3V4c4HQVbi5CBzpr6bL3RyBqt gsCcQZiXNx7vwxiekk5GEru9KCYs8vl6bu1nR7a7y0gL7PL9ey+ZCTASJkRRwgGp/N1ilcg40/Pr bWy23tl4PFJWatWaiOI53GOQHwaUu5xZ8+RY2dzz01Ndy+vzCzvqHKt53l/N7OjVc8tcX4gcfHZ8 okBy/eGT3UynVm3W7KtffWeVTsv6+DBC9Wk0RQNqN5rWetG0oFy0uJK3ZcWNRNbQiqZTQ3pxFq9t 3u9bZjq3Qpy12x/eWn6zs7d/+IPkgnhmGvW6vX//XveAzYTARwAHEoFC6DjeSzKnU3VhRwI2GRJG FATUtL9WrNdtiZXXfKn7c1zraPqn6SuSMRtuHtiruXBjz0/PLIiywqMVIT9nsradzuzi7Tt7cXRi mb9a1T/CI9GWIlgI5R26zhF4In6l2RT9kVTNUxkDgSeft6uLS+//rDdSo6ScEcRAUiILBSVSdMmW AGAcjyyaOVeNoJMSbdkp1xvvf8nvDo85SqrDQ+G26JORNTmx1ayUL6mMQ96FUifl+Am5zxh8G+tX 6viDfDL9E/pDNKf5TrzuNtGLgjAd5eDzZTS1W293dte9t33smR4ZDb0hGAAEDQIWmVD9tCPAoqSB o7wwXUAxgAE4TcfH/ly3dDKpKWSppMBFWUYWU0qEDzsHB9owhpOxXVxcWjYf2tnz5+oxec/N7bLC Ss39JAnCy5UkcrKdvY2gpjAFxVV5OtV50t8Ky0XHq0EqJ0vb7pUhNlBXpUEOZW8fWLhjcIzkUEbc QDaEVDHi7ur6QVWDQJMqz9Ijo8ymVJe+fKIpz3lSoikrJGNP0O4EcD6TDY7nS0R4BieZrND2rhAb 6RqWoSyBngcOMls8TAFbhYIHxIzfb9GnImAQsaaevTCnya01W/aUjkdfEu7inU0WczXDKRPYMUF+ DxZd26w21nqZNGnhmZGxUKIhbUzTOgrt8tPnB6IzgYxGN6C/XCZn2yCjXRgtLH6nHCIwZhNly3SS xK+0/8Lv4H5kgYUmWxhKiZJgRWmYyqvw+fTUKEMoWwX6RMd9vrDzwcj617fuq7d3MThKOvon61ZL EymCGAvvN//5H7SgUBuAI4i21be//IXl8o5DygsVHj/IxMgjD+HdUlno+Gyz5BPDUaQF+/r1azkP 05AnWJK5idCdGEFw3gRaZWCAOe/u1eRPTUAAzjbaHbu+u7XpFFwWGlQ5SRjzerITfucagGkKti5X Q5AHh5UOBej5cM3no6EAuBCYCUDjQsH6V7fWu761z+8/WOP0RAGcQC6YB8KM9LBqFdFxGDgQSHyi e68pLP6SbWg/67VcswHUimMKpGHvfSRKbrkpJVk3gU7PBxi64VAbFcEdrNxiOnXOJgOEcgWJDJtC sp7ONOUdPOsqI+fZ0P3H4aha1RSRB5a/l2dm0wPmZD62cTCy3cGRPbXj0QcsSj9SeIIChqk0e9fL jR6WxWxh+ZarLNDXEbaIoDJzwKAWDoafw9GDkihNUFEl4IHVKnpfHlQClSSDcUdOFr9UHuDJoVA6 GGoSxb+RTWHYQGZG01wLCAOE9eqhL0OwkdIo2UQU+ribhv5ubz/+6Xu7uu95NtWsKtMhEHOuyrZo 1Ow8+wItjWYTiOwMXLZEyXSPf2A2Y7/97W+lBkCWwvvxuQQosjUyrtZhTdmCNMYT3adJofAAIdhs VgoE/DtZirKLBNTI9UuNJ0T2hiA9magE5meAhYwGA0nSSBoGQnAQuBT0aCSCME16VB/kKlQo+HvM pnIlQpIlXBxLwQGoQLzeWrxf2XQ71z0jgBfrVVGjpvcD632+8oY99+3lqTTM+N4AUcn4Urdumvgy Vp05/YdSnz4Wv2v4gbN1ogFPYEm1xiQJhPjh1DcmMk0AwlKLgEIEnzIJxqnVmfiiceygZriTbKqY a+BK3qirVQEuTwOKXF5T23l/9GAO/NSO8Kk45qRZktxmVpuHh61WqYhGIn86VD2ZFjKJC0KfClVr Cio8xAALUyt3GvE8kGQblFNK83GB3tAQdiCkpo+VqqaUTO34dx5M8EYCKxYK4hOya2eQFaHkM+y+ IjVpKUPI+CSnu3dsEzZYnz9+1MN6enxiQdnNXXlvSQIn6Oe0tFWgK5dct77ZtGW8c2G8sQsEkt1Q GrPQCGpIzoBNohSGCP7D7Sf153qg0fsj4a0EEl26q/JsNnlAvEueJTHr0LVIZGqE0wJJv97IaAMF Cq4l4oqgu8mQNvf3stlKgyLlNAGbg+yG9ySISQQwITZzjefzgYIDIM0UO5fel8zRkQCmiBBiHtFP jEDys7JZIbJqvW73sAmWC9dJOznW59HnBOYiG7eSbywin5NJcx9gMjx79iDyh9a69L4SUKukrhOj jBQln4I+Oce0dE5J7mkAk42bNpxY947eZQSINTF6jZLnJzWj5Xl9asejD1i79VoTO25uKsq3CXYu nZzI/lISSCMqk3GsU5IxaISOTC7ifEGgUX66W6pngRTIyh1slLJnHQzavb93IGTFR90rYBDgmJAy STIp3h+ku3SigCkQtCg1zQMhD/F8MlFPhgVJCSUFS2SGCzlr1Wv2xXffaDSuvliyUMRRw4WG96J0 KRclO4PyZqFStfcX5z6B28bqgRwkqpVkJKm/HiUr8svgkZb7jc2KJSH0AZFKAjnVp08E8FhcnHN6 XdJpHb+YirJgOZ9UykamsMr0itZgcpjogTFZYxqLKQWlFQhy3pfvRx9PG0zN6TkEOQCjuW2SiSZg T/SlAPNynmQklKRoSDUPOw4kJTgk13raG9jN9bV6TXBIT5+dWbffF6+QgEBwuLukdJ267v1uKynr FMPGvWY6CzyCQK3JJcoRm63OUwqynBNEZwL6IqeJKNpjqcrryfNnrhZCL3C+cVdvLOjjvTaF/c7/ bhZF6nlCPaI/yff8K/n5ER40M3lg6cnglAxiGFE8p97sFGzmQVbZRrrIROERONOJzKVCTg/vfO2a 2izCXeREXPh3LC7KFuSUpXwADilXcF2jZIyOZ2G901LpOLwfqlfCA15sVPV3KErQG6H3wZGeCxkC DzSfSdnC+Pvk5XOdD55889ht10WaLTo9iN5PaoQwqvZcFA9DjUS7XvIqhZI+bz0Ziw5DGSNhQizT q1XrtFr6XGzTee/zH97acjdVdsjCJ2NKzUhTxdY0exANKunFEXAEVAUNXiq7BValqjIYeUWRjmWg Eciii4WaujMLThBmZMrxrJBTMINnRy/vd//8L1LM2CbEdgKezCO2sc2KTo7mvP7u2f+m65E/hU9a VEZJCXr96dwmt10NU+K8Z4I05MjsIIjTexK+qlR6cMFGg54NTcGVZjqaV0tnRrCZEUClppC4/xC8 8b9MYTOARcHsEfw0Wd073QpgKFAG9eco9TBd3WfkARnvPWvjfW94RoFxxSZoxF9hDY/wwGE32KzE IeMhW8Rbeb3RJ6BfwsLmkMBexm3naYin6qPgZiDpUj6cnZ25k8p9V01gYXtyeU2qGLUPZ+O/aEAt VvZ59MnK7ZZrLuUcfChOGj2iclmUDhQi0DlKSwYCJZ+bllgyS4337rm3yAj3g7ECWQJ6WOzG7Pxp BiBXmKQ5zHls9jv76Yfv7f/9p/9ipUrVmu2OffXtN2pcX759Z7NhX4Gc7AZFU/peZIXXl5fStsJh mIBDL0zu1XsvsRUcy2UbFN2LL+X7pdZfqcM0/RemhJwTPo1kFQUaz/gcUj5e39lisxbjgKZ+Opjg 3Cl5dwK1utmEAL3oSaHqimMRtJ0keyHboL8ji7Z8zmVZ8GXcxhpCDJczK24rklmGiE1mvQvm9sXr NwoYXHt5J2KySna7Wqppbpskc0X/bL2y7f29ffj0UUMCvufzly8eBPv4fwDIBHvI77Kkz2b0nXiu 6ElRonOPAaqm2aY0+UHg13fOmUS/jYCE2URmZ+WNa6cNUHRdby2bc3wW7/PUjsdfEoIrgvMWhXb8 +oUoMuzqw15XZRAaSGrKHx4pUGBeyWLJBnsbDu8sqiHYENvN4kIPFg+KJIt3Lm9C856dfZEI7IGq ThvSqyEYqnuVJwf1pl3+0+8dqoAgXgNDCCAXoWWAOwwHChSSWFmuVG6cHB7ZpOD67HJcvuupj0R5 RCmC0Nt8u7awhFicS9wg5geheRlvrcLfl+u2W2ysEZWtHBatEeTkBFSuVQzZJxY0ZRMBEbQ2igk0 om/ubqWAmYkK9vHmxmbJ5POQYEVznICuRjzlX2ijKVirjcpO3GRo1LebTV1jFidgTECw2KJtCQoB U8CyNfMvH/T07z+cKzCQRU0hcq9ii5sl++H7P2s6CVfz/uZWpeLJ65deEtYqWvgp1Uk9SvXwIivg LWhbi3ZmOQutuIxt159Ic5/MNH/WsVyrJgwU5z6+vtVQo5DJ2S4M7MXzV7a8ubfPf/7RZg0nkReb Tatuzebn13oeNs22XU68XL6+71v1+Fgqpd//139RP7S/X2i6OR0PlSVzn7mOlPb0J2uVunpiwB1Q ZpVD9d77dpTlRUp7NP+5b+WqDVZ9BTQs1b5986U9tePRByzt9lvfAfF5SbXTU22lFEms6VyCosaI VLrcKIEuhnbQ9vRe4+qlT/LEG+P1C1fs1Gg76Rsdn5x432MfWwkl08FQ5g2CHQBD2MdqlodB3qpJ 85VFOoIsi0PNYCDOHWVs56ijBjJUEVQz+azUu4/vwU6eAktTzhvZA4f6MAWnctCXIpskYBJY+S40 stO2LTgyYcKSn0cfSxlntWwHWSAELuFMloAap5reu511r50iJKxaHNv17Y3KHCzgKcUeyNEAY5Ne lKRjQs88jluHlkXobrGUwieNazLcNPtYraaePZXKD4BVwL6U1+OFY8U4zp4/c+xbYmxB+cT3K4be rCbDvsRRm6Z1qSg+Hlnbd99+p4wZOWdhnTBYyrmihWhaV9fKWqHN8P3Pry51Xnw3uKS8F88DsAQ2 PkpeMvKP55/t8+WFZVBEJVMNowfPREpz0aiODm3K9034h4K/INMznvj9GY0tH7gCB99tyfAGN+4g 1LNGP+ypHY8+YGXCrHAvLLAU8Clt8sT8gN2dh4cROzseO1dvvVWpB9WidtS2k+fP9VCdf/jogQns DkJ207kVo5wNxxMFKEofmqyvvnhjt71765wdK7v6+P6DeiWUi4yrgVaUmnU95OysBBSJ3WUDG8Z9 G0PsBTRZLmsaJTE4YAmUQ9msNTEexQdxju73Wv0NKDWUFVKmSET1wBjF9IMid5nm+9GQJ9AhGMe5 Mb1Mm9BkhwRn9Mo1VMDefrWwEMuuTltlHaVbOWl8oxIKtYbhAQdUJJm6JlIo5xcX4iIy4aJU41qT 3UD2hYOnaWBgli0RHPLWAEvFlMwgOw8dE7dcK4NFdpr+Es16hhdvvvxSgZPSkHvCJkBPLdVsh+ak gcZ0IX19ggobAcHnGCNUEc73Nu72JQWD9RnwDqbDADOZ0BIwKFNv+l3rnBxZfzCw4c1UQw9MRaDU gP+SHDSqFyiAtJsCkOZufHqLDMwCV+jNThANgiika6ajpSBnk9Xa7m9vpftOcFdpv3DaFN8XXX1Q +/RAg2Je161Vb7pUz8Y32ad0PPqAxaEJGqUGYMxEv12j5r273rC46EexcNVM3c21GJj+fPevfy3V Bgi8aH7LJHSFGN5O2YlAoAjcSVHBvQUPT49tsln6Lh6bwJ8pNoksh+DGn4fjsbwFCVj4DvIwox+P sB8PLTQZ/g4XFRZlOhZPtZlY/Cwuzpkmr1xxwEOhA04GtM9I4VKSMBCO4amRnYWBFUOmWzX7EUFC ssq9MwFYJJQsvIaFT7ZQgutXKlgJJczTY50vCg6T9cJL0yDrml/PnymYqtk/nagHRIAo5p2ALHMN soTl0oq7iuzmUeUUNCByIxAyVqas0yu3GQNYm4v3ui70wCbzqQjS9Kmw/DqfO7Yt1ejiEBczadz3 bhzpz7UjiFHmprw/FEb/8//9n5TRkRG++fILfTeeD95vie4UWu/bjZOyGzU7CJ2jSbCjrENzH5wc JGv5LO5jBTn4mFzXDQOJKbCOvk0w2kAJ9vBAih7AKXBG4jrxeQT11y9e6n4JqgHIuODDGe5JuVrR d3t+cqqhARvDUzsef8CK3XsvnaikI3QZNIjMXFfDmSkWUyjoEJhTsPil7ihUM5laIEODYA/fsCcx NgIWcsQi7eIxeHbirtEJaNIxNhmVhvQ4KCNSmWJZPQ0GNr3v26DY1YJnZxYAczzRomaCKWoLKOqJ u6iQeakxPZ0oaK0mSbmFfTtcSOyjEncWwJ/z3V6Ne0o+ue5knVKCeqX4bShv7rbSWSKACkuVGI+y QBrl4oP8ijIX+i0AXtcry4/H+tnO0aEoNyglcD3Eueu0tTDJCq8vLhWECgXnQKIdxTCDgCHTWZx3 KlnRc8K6a1DJDh6l19DdgdIMmfMi4PM9CZYph5GNIO1hESgkiU1gpImN+3S5ZKeHHTXL2QS4h4Br F4ORmv6SmZ5OZBdG1sqGxNSUa0wPcbnFSqyo0jDFifEz+yDUZoEp6ocPH1Sekyk/TPAKDARKVub7 hr5pPfvqjd7n6ubaOlFejXTuHZtWOhVOqT9h3pU/4EVEcd6yO3d7pvRMB0ZP6QifxJdMdLlTZHA6 kePB5qGjrFFJl6gQyMYwyEiKZHDX1a4PNEKLIuN9rxS4qEb9nh02dIR0LhJ+iV4UiyUTuh44cAMW tLSiUPrcxWqqkpkRbKZ4+222ek9kgsn8yKwESQCTE4LJcWIx9CCyjxhBOhxctp5V3WcC7dYCJkY8 3Hvhlfiu9NWQcSEwSwZ4vbHeqKsSLg8gcuSGrDpAVvN7kNWOzmdRbqUIdMpIBUmgHJuNslMst/h3 UOhFK1k7DBwljozwoG/Li5XOAzgDf4f0DIGAgKt7wPQrdt9CZHjIvACxhrFJ1QAyurSrcqF0x+g5 KRitt5K04ftynwjsUHlSQvbLb7+z4XRilg+t3m7pHoJnAtpA9rlfrJUBUnpxrSnrdZ4F93GMdxs1 /CXPwzOU9A+Bd/D60WQmd5w6g5AwEiwFVgNuRkLvtwhwJTs5OtIGJPoNsBnkoacTkeO53wRIhh9u uYaxhgNX61HV4RXJ1PD88lpAWIYlZGdP7Xj8AQuuGyA7vAIT+AILCcVGN37IKxUH16IJE/0IwJCF RP+d0ixfkJICi5wHjSyF/kUq24vWFlkUUjG4pNCzIoUn4GA6SsNVRgiYGOz3jryXakPFlvcDlUnS UkrgDJQQqfwLwY5+GsHnenSlPggBlqBDxlPNl0WIdWqIKTuo8lnZrE0TbhpaVWQB9I7IGPi+ZAT0 hghKAC7hxlHOKIuBe5ei1kdjt6UHIwVdZTiy1f39Q7nGVBHuHd+N9yYrIygg17K8vU3Kp1jBEh4k AZXSSNkmGUuQt6gIZixw8vV6o9cDB0CaJ29ZBcvc2A0vtNlsY3lBjvZ9qRtIJSKM1C+7u731wEPQ zuVdFnqzlJa9AiS+kOOpMqt9JhSW6+DZqSayp1+9lr+jCNCYma43dv3pkziVlP18Z47xdGovyaK5 v5utMnRaA2RJZIRktAxNBPUo8FztLJMrKUBeD0aS26FdsIEeli3q2gJjAF8GyZvnjl6dOJpr/wwG IbVaTYwDhgRIM8+OT+2pHY8+YMUbvP0CLwsxJkjE7jIyAkVGt6qHGsQ4JGYWnECPcPGSETtN421i FU8Zx0MvJ5VMUVlZtPLMTKqmhYJdXnuWw3vI8moysQamq4keuAJoPqMgxXsLr5Nw9XjoJeEMiDPn mksEABbpdUK5ofzEh1AZ02Sp5jlloiZbyDWHkXZzyiaVJ0HGStBecqGN8EXM5+3k6Nh29YaaxfrO ZF1I/ubyatYDKuX/ZU8GabhSVWCjJ0U2yvUUofnZM3vx6qUyGvpaymITHBaBnb+XXnu1anfTmUom SN4MDDRZCwo+XSOgbTZOXTo40PkoaE9njvymXxNkrQroFBQ78jTLpf35wx90feQoHTtOjO/MAue8 odjQg1rHW1l7kcmIfTBj4roXdQqpad4LVYbueOiKGZhGLJY2Gwy0aXAd2IT4XL4nTXrer1Ks2N31 jWAnBKqw3tCGI4dusFv9kd0S5LtD3Ze7D+eulXZyrD7ch3fvdZ70S/kdgcbUe4BsLBuXNeFkqHKK jv18oSwSH8u/Akcf4UHtTzuhVMzbh+trZQKFPEJysXWvu3axu9KDQu+gUaza+YdzLTKyMPousPto gtOMJQUn9X+widrt7J/+0z/q9TRkZ/d9L7n4FQbipnVOT20wmdrgzr32yGr6o56NgAFs97aKAvv1 //q/aPL49vsf7Pb62vaZwArFnI1GEyve3Fs8czAjC5yeEQDHTuZAJdMynFvTfPf//Pa9FYNIZWz7 +FCofoIUO/is56UhD/58MLbbbNau7m6VQX779Td2+/Fci36ENlh/YNn1znrDnpWi0GZpjyif817P bOoKEK2OjWxjN917qXbSexNAF7G+lgfVUq0uxYtqvWGtVsc+f/joSgyVmlNqwqVF+6LVcw5P+P43 v1W5RfbiJVjWGvmS93nyBTl2c90blbxtC4GmlgTBTO/e+z+lgriQBJXF5YV9GSD/vNV0tJwJrVWs 2E/zuZ3fXlu73rBf/Z//VtknAZmhitQipjMF7karY/k3r+3dTz9hDGCtctW14qt1nct3b76wbC5r lx8+WTbK2Ktv3lhYLVl+WbODydCys5UN10vL1StWbLsbU6ZatMwyI9VRsqjjclWBECZC/aijzFQT 6+VSE2uerdNXr+zw9EzP0XDkLkqzxdIq5b+WhI/uAMRo+7803VOEMAGH3XI4nOJ/rmYxJZ1Y+7ia 4PbLFKedyJ6wKBJJETmqQEPJZu3s1QsBGHn4JI8cBuIGUrZRHgB9kGMy2K7tzl1hUActl2S9haQx OzqZGxQUVABoQnO0wH9hE4UEDE3gfF6BU1nZ2r38hJieL10Sp1RUP4k53+HpiXZpyaJIBsYxO+ze Kf+PMrJcKkk7/ub+zp6dnP6FajNzziTj9ApSLIWCI8aHrh/Fe2LPFRcjW+2zLggYmwIyDWWCDriu 3T5jc3pZuYKmsgQ+3vfg6Ei8RbJWDRpmM3EUnWOIC/NCwSEo5B605KWWMOhbLmMKTkz65pf3wiVJ CywIXD6YwURiuAoSnfsIpo57Qw/t6PjYvvvlL+y4cyBRw9RkgsmfTHCnE1uGji9rlfyaU0Jj0cZz EI8GTuVJDgI98BZwURj3BjlTRrnfB5bJlT1TzpiunfqEPIu7WM+CPBSh6PD8JNNHnqsFhh7Jc5oy JPaJYgXfd79c/zXDeqxHKn7HwWLFFJXdVDIhnY4eglTlgN9Tay7KEx5WFrBkahn6MH3jAQp8WkNv ZEfJBQaHYIIFehIQ1ESO8poQgr2R/G0ykgdSMFstrZZzLBgPshrLyOmOPbjUTw6t3GmpvKGvwsNN kAA9fjEaq/xhIVIKSXSQc4ebaHuLamXbxwUrpw36rTv3IGZIAKRs41wpOzj4TgQTyqnUdUYsAaSb Oy0FSfBW0FNYaNskYJ69fmnz3lDihgQZJqVguQTbkHQwPbb9w6+UIM2Agiy0vt34YAFjiiRQcxBc CvANyRCRfEG7ip7ibqvSFAiJHI5QMQgcECwLMbTtkanORw/mo+liB5gq2RuoONCidlsh9j1b9nKd 7I1el4xtNoG+FwEErXcCcqqu8KDEsN46NWe7tNVuY8HaNzOC8wKgcDZQNkp7gM8pFYsKVtwv7l+E 01KC3pWz0c9EJCktuRf8nErS2HuV5VpR/UOmmk/tePQ9LI70IdPDuvTJIIDDQpCz5rMj19xOuIP5 1fLBBowdnSxB5qJM/MBBsViZ4EGaJSMo5DV9QkaXhcgonGDH4mUxkakAxKe4RMwAACAASURBVAzK ZEmuk6VJU5AVz08uPShyVsoWxS6Bk1m7C3S107RivSZOXylTsEHRTVcVUKZzLSQgEnwuJQZlRVAp 2hxCcLzRQ51+L/LLHCYY+cR8gjJJygV78d8EpiUgLH0yyXvOmFLh2dhpq3Evp2cyuqVrWzHJhMw7 Gg7t/vJaGSrXct102gkBodbYuyrqZid4hmy8cpHDS7YbBWEmkdLhAliKkgMUo9idsjMV195ynXy/ j3JcDkqWKWUeJF3IqMjWCIIoKki/PeNyQnzODBrV2hVfh4O+ymrhzio5HwpgrSUtfIKIf+Y+GTyQ S3EvueauNOE8Tw7xKBcL6/eGGiawUZBd8Yx1b26seNrxTDUJWDLkhdGQMC4GKNQyRea+EDj5e7Bl m616dWwMPFMuJZPRtQPSALxEaPcndjyJgJU6n4j7lRCFtZuHsTKGUqaiBU1DWeL+NGaZ+BXyaqDT mxEdh0khY+uxk5wlo5JIqfCwsnClj15yj0H+nn4HP3tA2o/OVqlgWXZyMEhAIjZrUU1oOnNO7O7N TFOEaDBBNJpFfA5iLTiJAmJsQBmCrT2NYIwq8D4sF+3s5Quh7HkNgnjfHj+3W0rWXCS9KaaB6ege IUKa8zTgWZRw3W5vrjWtY0HTrwNjBYaJQN3otBznhdooEsmW0dSPCReLNB6NZOlFcEERlP4SEjJM 8JiAQTqXbheIfBr42b3L+iCJk6i9smihn3B9a8uFTafeBBcRPPEgBONFxiPSMxtGsyFcF3APrnUV DbSCu3VjBkuDXxlLgtHiWaB0plR7AWI+CdAPRwJ74VxAqYO6J2BNtrFDOA477iROlrdZ2AbtMjiO /b6VO02JQfJ9uValw5ZKdjJ0odwTEnSVSS/4NqArJZ8A8m+U8Jwjn9dGMSMM7fXLV8KlbRK6UrPR 1ASUvttTO55EwEoBh6keViqBku7cqUooD2F1X9ODwdQGVPRq5im5jnivzIpMIcoXRGodzvwhVG8p 0bESPieRH2FSBuYIhLMce8FZCSy5lLZREUAnsjKJugG4rHzVffmQq8kVIo26KWFlwR7vVPKw+/Ja yk16V5PlXOUeixkEPO+dLcQ2XrqbM9gmmvAKCuIZelnDQlFATAxclYEkI3mCFddMzseM3vN5l3Pm emYc3S4tLEQA8zjBeJlMw5wFC/8xqHiZAyKf70gQ0TKD+I3V2MJ7VUj5SE7n9ETXFfFA+kWHz051 bVOVC2g0OyApk5m1T0/lWK1J6s3NQ59RANyNn8tkPBMolr4iEIO09Of8uYZpYCIY8meehxAuo4xA HOJC5ia6UG+gnyVLXdzdKlNuHbacm9nrK7BxHVaVhSvA7vdqyHOuPGMMVsjakZyRzyBczPu+uyU1 6hblfSrMhqlSt1oT/5D7TBkZk4HR0qANsI+1uT2140kELBZCWv/zkPDQSvExzEs2hgdFCw8ScjIu 5+9ZzFefP+nBE8F1G2vn56GBnyfQ52JlvfFEDxQBQTrklFYWW35ftk770KEBlHxMvUCfT2e+qOcL CyuuwaSSFbjD3uEONLjXo6k18sFDA5osh2xHJSm8M7Be5tIz9DOiTV7fEcOJ2XBs40JXDV41stmh wYrttp4ZJtb2/BwLV3LGOLkcH2ux3VxdewMbpD7uOImGE/2xerupvgyTVJQ+wSyBfJeJRkJQ5rrI DTqTlfxOqsggezMEFVdw5XYeYBKDEM4T1QXeNwWmcl25ZizceL2xaqEkc9Mf//i92AaNsyORwxlg gNdKbbro//Cd0Hfn/SuthoxLqeSUYVNKbnd2lHHfRzJaAjsZNk1wBS8oTJRwbDbYmCWSPzw7lJE8 K9wHflH2MsnkfBVwEiMO+nz3q42myKJqsVHmc5arljVogNicChtS8vKsUD6TpdMzQ5mCEpfzsiDr VC0YDxCgf9b4fyrHkwhYaSOTRZPqFvFAFaKC/szfpem6SL9kQIkMbxrs+DseoIdMK5GZeXZ2Zu/e vfNSBQ0qyqdCTiqfTLYWi5UmREzsyED0WSPXQNIEEe5ZsykyLNMfHvzeAJ3xnvSdrOqSuOg4pU40 lAVpg/oeV5xsRuN+GvkEN34BTVgFU8dZNevWWK8sXMxVHvE5PPApPzEIAwVNAgGZBH07eieadCZD BECoZBoqueo1q/Kd9sjsbCzCWRtvPXSvZgtRe1CJoGRNy+Q0qyUAKMvkmlKCJz0ojfYT/h+Zm0/Z PLhzve/v7vT3OOKQZVGWEiinQSz9qVSuJYz8ftE7JCtl8MEGEM3IUBfacLh3qVOStMeQINYUNVZm xhAvDCMLszmbzgfKOvkuKQ0olcMmaA/HA5/k7QHTR8Ja4SqeAj2BUQymY+nN8z4L21lUhQmQkdpE hl6o7S2GyL51rB+Gs7vySu/JfQbTBZYsXynpnkuCOV/QtXxqx6MPWPvMXhMp6Bv9yxu77XdtFe+V 8XSen1mwje32/Mom47FG8fl2W867mvLlQstZ1pajqQ2ubp0sncAiyKT2hchevHwlNj+Bgx4KEIFO GEhuV2Tow4JwUWRk9F0EgYB6sfDFE6w39nH0vZusJtxFsoWbQc9OKHfWG2k1AXUg66P/NFn4w93q dKyeK8oVeXhzb6PbrhW3poeerOiy31dpy8If3feUCTC2n+HKE3qTFyT5ej61/XwlY1kpDOCizMDh +Eg9N2g/m8XGTiotm2xGth0s7fr+nSRdbqZde/PipZ20Duzz9z8pMxKBGFWI9UpqGYHtrde9c9mZ VsPyiCdGoS0WM9v3xzabLGyWkJqHcsgu2DyzMRS4SolDN/eGiR1CiTTpcVUWM2E8tQmV0Xpjb06f K+gS9H79b/7O/uPf/70VQrNCKW/5Ut5WW/qQ6HS1rJQvWL/XU1aDBBD/Se0TIjucS4LZzp2f2WD6 8zuJGMoFCcBxvebqGcW8ZSHKvzhVVsQGcPLqlWS1v/if/04Z6aef3tmf//l3giJ88+ore/3FV3p2 avHWLv7wg40GI1eBzWStnSvbbra0bZBz0K1l1Ks6bdZFUaIcBOiLQmna90wZFwrECaMjJfw/tuPR B6z0YIfkZkrqFt3vRIOcvkPqlqNGOM1ypkAw8dHZnk5tCgwCWECCZRI1JnGq+fHdW+2c+n9szAv+ 8BCYlMkVyw+IcbBUKovQTsedeL+XMWhq08XOmfZYaEzT0G8d+pQpVUOVdHLso/h6pWa77VRI7dQI grKjAvQgiqx1dODuzlGk4JFdIrWSkUegPm9vQmfTbqbPRsYRLJ0YDgKb7IapF3pe158vrFGqiCbC wiAwQwhe5PbqHVWLZQUVskJKOrIGShgtusRGK522QrvBsea218VJVQMClBg2s52kVCjPyKK4HpVm 44FqU53PHyAXnLvs0JLe2pCBwWSq7I7/d++/EFF/9aXUyCcDLhUd30QZR3aF2CLXl+8u+hGLIqs+ H5kd01H10HIFt06DJlOtqDQXPIPpcT1WKc0moHMD9pIMVZg4vnz50qq5gjYNzgXNMEpCprZk5Nxn xBd1zqWC5femviQDhYvP51I43X7aK1tOjU6iINJznOIL//vg9NeA9f/TQ4RicDxIyySTQhySCS6U HdzntBQk45FWeq2qoMVCr50ea2KmQAGdZ7EUklvTLOy99rGUCoSxSeQ/ZH8ONSUJMt9++61oH6xh WWwldBuC5Pfff/9gfsF7HR4dWQukd7xT0x+HYR5SGvWi8CA5MxorQ+O95oORuG0EIhbN2bNn6gVx Lnwn+iqreKuFA/9R+CbAksgnAxPAMBS4Bz2ZMLJMJbbbiyuVcp1226JsRTu6UOthTlzCTDajftCb r760EQJ7WUxl5wLdCjuUlDc0mIF8tFtt9bFQnkjllOulpjV2DbscfLJm+cCaJe8dYjAKwZxshv+Y JopYzuSvXHaYAsEnMW6NR2OBVcm+yCz1HRJiO6VUmAxTdK9WHrDHwUS4KEr6y3M3kE0nyDITSTIW uJHrvkv9CKyJU00CbOWQo3MySEGeRga3czcB0cZEWYrhCPcAhZDZ1ClUo6LVDztWt1gCiUx3RRma L5xuhV0Y/dRcziqTsQCybJqZBEA6vO/pGlVyBT1v6fEYM6onm2GBWUrBeIVi2VaM0RfuJyiXXzhc TAOTflcQZCza56XagDZW6/BAC5YSjeCiINNq2uXVlX5PcTWURDxosqsidUf3+/lz/T0Lg/9ngsbC lQwMxOZEeyqXdfAmEyN2UxrqoNaxfSLzI1juVxtNnYa9njsH43ojfI/3fXgv+lRYoJN1Mf4WWbtc 1PkQCOmnaeIGNmm3EVIbs1mEAqH2CGS7i61ZqVkxAT0SrCmXWHTxdm/5Qt4DUqWjnsv99c2D92CK tQIsS3Yoqs16rTF/mikSXLmmBHrKagJM9+5OvScCM/1CgKMpYJeDIEImItDlxidkRVx8GIow/WTz IYPi+l5eKXuUVletakUmf7utrgEBdr11swj6YLquBDAGH/mcMlia6mST3etbIaBK1ZLbltGfKpcV zAQoXsydAQF4dbNWsOLg2kpiaB8ruKg/h2AkrQbEI8n0AxQ+fHKt/tZqKSoVvFUCVIkBR6up9kPK yxze92yFAONybZNKzWLuzyMt/55kwCJLclNmH60j4bFm6rSBq5azTAnyMROatWQ+JOcLOLCYl57T 1rbea0qmaoz/FUgIapSR9FkS30ONnH/mIMOu3N127fnp2YMLjgwzEzE/Alun2XZkdBio7GShAAJl 4uhqqA3x/1CXiFElhf4S5rSYKNlQ+SQLowRjMfDgq8+BcUKQtU+fPmmRYh4qLNPOKR9kA1qAht08 llg5BU/Z3Cea9JwrvaIZooLoY6FgAZgSwONoKE/FjW3FaeQgmJAhoN5AIAX5T99FCy2x4krdfHQt 452dvXiuTBIOH4OPAWUTagyjkff65u79xzmm3ouy2Upwbgw9AF7CvwMSAYWmf3tvV5/Pdd1w46FE hS5E8KfcRAFB8j/5gkXgtWASRA6yJRsrl8rudAQBejJTECSg8r3J+FD6RBomxdrxiwELTX+1HPKe vRIwkbZBWoagvD5d2tu3b908lzKUqjkKFchSxxw5Me0X2oz0Ossoi6LnOsJ+DFmZWl0DG54fwSCS gPXzoPVYidGPPmAJEYp9PPtk7KhvGtKrjfd5ys2GW4hvUWdYKcsS7opx+t7UzJ4g1ztf2jyZ4t33 e8p46D9Um94IJ2gJJgCoFD85CKrsmhlTPyu1vBINKEGgs3gvPn/2EoSp23ajxYCNOpM4VBawGdMD ScMfzNDCpY5FvynmNR3jZ9JJKH0f+mMCIhZLwkJlKiZFz0I2b8vY+zeCSFTctTgge9rtNWzg9QSy lD95Ox3qOzOeB6yqXl/8F2BtJu94Nig8AoCmpqDgvMgu8NMbDAQwJVCSbQloi4jedOLKrztX+FQP J59z5+vkPkjRVFO7UKWfUOPI/CyXQtoL8rBc6nUMOVBRAMRJ2a77WilqGFKFkJ71UjGFU3iACG3F s7FgRrjXfePzlC33+8rA1olLNgGkTn8Ty7Kkb0gfk8wOihfvy99pwol22WotIw6ePT6L1zFU4boh jY1zEVk3n8dzwWunMBzKFafpoJF1e6d7sqDMXW8Eg0Ctg2eRIcXPxSmfwvH4A1Yi7p9yBAE5alfc mx4M0VfoX+EXCPAv8B4PC5qews37T+qF8ABK/iNx7W2UisIjSR99uXBJEsbpGGkmyqAsylWQ1RTP +1CJNAv9FdQNplOXbiGtz9B/RmPKkfMsQBx+CGpi+UPMRSEzngtKQD8KJDQLKRoO3YWY8TgLfbvT QpDyALSc9VaOLHG8kdQzOC019ykF73quwDAcKciBz+L7khURZOixMK7HJJaAJnNPelittv3im29t X2DEnlcvjXMFAwVNhoDFwpSbNRAJuJFo1yccQLIFsj2UMHhPnf/WFzzfnZ+l7yZLMfqPQTL9IjMM EvzWzntQm8zeokpR/bhU6VVBF72qWknfD0gAC5z+mkvQZH3gMPVsOJEslEkG5yEJ6v7As06mhvQ/ w5Kj7FtuKsGkEZAt5Zowe3eO+VJvcLvTBnlycuyB//7O6UhYmjUaf6Hv3N4o46NE5pkT2FawiILN 1jP9P9pf9MriwEGubFDwUNkwfx6s0gzrMQewJxGwHCjp2uYcQAQmMPIBi9ZcFI7Mi0wA9QKh1pMS r1muWrT17EUkZLhcYVbYJnowwnYloEhlPivH6sgZZr0xijV6O5KzjTz7oE+WBtFmqWJHJyfK0sbL uYjJ9LCg5aRZQKpwSlAjs6LP0Wm37Ouvv1bfI7y8tNmHjypTIEYLjZ93oTtxHpPSL0LfXfiiQJMw pmKgxhGxAw4ATiklfQPgJMvj0M/i4VhKJouxnw9ZzJoW2d5EP+FIkfFsAJVVzekqiTZVagDCZ1mY FVat1O4ocBNcU8PRFEyaanKRzRAUUkCtepGAQ5FW3sEgDqxWyjvQ1FwpAQrNLMwJRS5zXBZxkv0R hOghEbAIeGregwOLQumWpZg9fABLG7MNLuEEC/xM0HufTiUUSCDn+vJz0H7Y8KQWOl+IpUA5J//I BIrA+TEcIFCRLZG5ElQX2bnOhfdik0g3x0G/b5mlB3vMJ0q0CfAdYLixnNth7ujBsPapHI8/YKHH HoXalfDdax0f2nrlxhMZmPYLL6fYOXloZcOUCyxXLenP7V9+ZbnBSLsgi53XiuqBfnjG7L7Xty+/ /FJ0EjKp0XjqI3cE+Epla9S9F8UOn9qKsShxiuHvm89OLSwU7NXJC/vnf/kn9cpYUGRELOR6sexk 4MTElH4Mv4QmJ6PqTWw7mCqw0gtRBgfeiokVJR7l735nk93aCtuVel9gruKiWalWsUWhaN//8U8S 4aNcYZwewPMLM3b6xSurlyr2/v176eft8qHlczXrXV3p2jAdXfU3tphOtUBXCM4tN1YoZlWqffzT 9zaNd/bl6zf29RdfirfItJTAPsoG+k7VRtMO2of26c/vLDsDarCw7nynUnvUHdrrb75yFHgyeSRg fQRyMZ8LuzZYLRQc0ZJiwHDU6tjNfCOVjBh6SxxYs9KwYJdVdoUmf47G9mxt++XOph+udH1aL0+F hi+16mYwFcYb6WWh0kqGRE+wHEY2vu0qC19NGWxAai9Yu1ax7Wxh2QXZ3dxmYzfGgIMKdAGwaznA Jm5q0+7A4urGNliqdZoWVbzMRt+9WXdqFIEZLTah7AtZm63nFve3tkhAuHMyulbTFljHBT6l/Hnj /ed4rMd2PM5v9d8dKWJdI+AosNl0Yefn53o49vHqwc/v9OBIpQogHBDbaJvT+9mgXDBf2mrpNlIg wyuUhZWaZY6dhpFCE3anpyop2OVVzrHQodEguZugusNqVQGOsmqN5ExstlzNNW3LBLFQ7pCUCS7v 3759MFiQImihoPfm3Pm3aLmTxjnZCmBVzuP84yepYJKFUG4142OVlKDVwVSRAWDxTgmaX7ucCppR Z9Xn0ooicLdGLWULEKSlZpBgt5SNYr+1WCjI15pN+/GPf1KvZQnOi/4fmK/YdcFoqBNQru9uNfRA SYLASD+HALKMY8sdRjp/vqeE+5AHBoZRKurnyEgIvtw/Ml/+rVEsyE4NhQqmf7AFyF4obSe9gY1m Ew0GUFhFbZT353zoGwEJIRPm+uCeXaxX7eT5M0kkAwhlwZNNUvIhl5PCHlDKQEuenwcDBY9zmvFM EMHE17AZ8FcEmc5nJPZplJRcO5lrgOJPHKDFhEh03rkn9OgAF2caTh8iQ9vEG2VeBOjszkn8kNiR dD55dmaGntsTOp5EwFKQCEJNWnBEXoGL2axFXG6XO2qw80uEWBQZoJLkszImwCcPPp3Se7ITGsPg Y/JFcdiu55c+eocCwjh9MlW6nyK+xc3boVKQtWwmsNV6JQ5cSvPIFCJbB3NbjibqmfBgM0qX3bws slwriqxrsYvF8ZuUxwpaIKBbJ3XbRY56ZgTOguEXgYkyAyMFvhvTUakw3PctH4TaoePcTjAFcFtM wFjM6bheMAPKxKTUJXhQ+hCcD46PtKD4PcjntVi1y8vBemTL5VzliwYHDBpyOVtO5+o5ke1ynvT/ ID+jnMkCRGWC3h5BTSUhDXv6jaWCNXORq1QkzWimnwTwFy9eiPbC5I9shIkokjjZbEbcyQLkczad pMRlUkigJWPCNoyA3Hx2rKyyfnwgC7NqrW7LlZe3XHs0tOBJqsc4nWp6ydACwwkyunKnpiDEBgNP E02sOML4tWntkyMFIyaLDBFkNVarSZKHZ0N2XkgrQ2eaTNVrrCZmt2mQur29FgsDHfj1yqEYR+DY YCNUKtawpyUx8+gDFrIlNLL3CW+MQIK6KLIyQBR4EATGy/Yeehc8FKmj8w6DS0bc4HVo4qLHNPdm J/8vx2MUODGSSPiHqToEx+3NjUuCJGUcSbsmkfSlMhnrXvdEdmUB8RmSx4XADM8vF9o6Gyp44NxC Boied+/mTkYKHBitFse+kMkooAEB0CRA8b4rpH3nJ3aIEihWXBYok6OsIUBXWi37V7/+tQCOAGY5 OP8XZ8/0nl0UPhM/x1S1IsWZCfHe77kQXqlg8ZJJpjsOoZPfaLWsP59pekfA5TrQzyEjYtghnBqL HhWJtXsv5jBLTbBWLPRSo67MiqxVap/brRx6+HyCbX/sw4JUE51Smt6cBiT5nF3/9MGVGNDJAigc ZNWrFK+xkrfjf/M/qPeHWijyPSXE/ZCihue4mCloibi9XPoEeLOR4QS/a8JXdBUOfuYB5IrPI81x FCsypmtIL48NhHupcx8O7eLq0kaXt/reBCeyuPQ50TMwnfq1z/pAZ5U8X2Scvbt7DTYaz1/ZUzoe fcByQ3manzuNpSlFAOK1Djra5Ue393pdumDYycXG3+1UNlIu0KwV8TkZtZO+6wGDyFtwvNIG2WKa 23uXzE3LJwKDRtqJPbz033G1AaeFAqgxLl9pFJ8aKRBIRA6eL6zaauu8WKypPZloNZmMgu9P797q 3Jug0uHdoRDabKiBvpjMVFamGZOULxdr605uhR9rVEpSEXheoL8y1M8yWKBhLdOIuzuh1zmEfdr+ RbZXqgG7nR29eC5BPBbksOtZXD7/39h7zx9Zsuzab0dGep9Z3lzbbqY5JN/MI/EkQH+8DCBAIJ8k cmZ6TJt7b/mqrEpvIyIjhd8659Q0+ShBX1/dCaBwu8tkRkTG2Wfvtddeq2QlBrQ3a1vSXIAgCVnT K11oI0Clk1lACJAIKiYbZb0E6Xana9F4oiDH5sH1stiDln6h5MmiKFiwuNcb4T50/sCfxduqVWyv fmgPHy+dUB5BqlzSRsX7UFrSZT06PZE8NJkfuvQjLzfDvSX40ZwQf6zquFjSVYOMi7aX+HMlXV/o APKZdpFyZhPEO5FunzDI/Hmwnu89D2h7kD/cW3iDZKJsWA/DJ2sjQ8N2y5B67PhxgiCQ4vYqup/T 8eIDlvREPLWBh5wRk3Z/TyVUmd3dM7tFQfALgF2OBcqDijwwqTggMvmRZHHRVqrV9HvNva4eIBaN tMgXS6dlxMyXf2g1nxjHaverE0aGAvN+sxEOAQmQGTgwEXZrMA5wmglDycWChPCQPPnXP/xeC09E wnpdJW1lWdfuTtcLzpba/+nWGVQgsYJVe6smjpfcjgm4Cdb2BTH4uRYwKspPrpdF0Y6dCzVNBDAh NQu8hnhwnlY2FLlgTBYifBCD1hnSOU79orBCSqXquqjbnWgiYQgcKzIyH0mzwEj3fpCBHErmK2WF qXO+Vgcwc9kTr8MCJqjiXASxFdAfjhqfS7lR0T0jiC9vHzW7yJgUOB3nTnnbb3Xs9ORE3+OcKHcl yfM41H2iHJbOFiU1WWWjZcac6Da3Nh6EVUe52GDog4QOI0nTmco0zoFnAvUM8c6YSYyLokCALYaN Ry5H3imHAEon9OD0WJ/BxrbWTTDKddmfhB+LjmN3dH5qx+dnzxnx53S8/IAFPlV0bGThRuVYWBYf dpZutdgRQ+NhUescHGa5cBInnbbmvAIVgTk3SoUlVlk4C29Ti3Bh9qCpWO5e60r273kudQgW1nnr XMasvB5lX0j7eU8wHOYH0dciowH4BRcqzWtaAOAvPOBXV1d6L74XSJbtSl1GpYj8BekTrK0YnO3C 02ltLCmjfNqUYijjN8oSt45V36zXHO2i3VYnNKhaErzEU/LliDSv6KD+rCzc7/ZsjHkGUsr1plWP joXF3N5e6/dUghVzkW4Jnnjq8Tkc7O+LRZ4ybQBCh967hP82RhMfDA4J67xcscV07DhjYXQmdiUy 0wJgSR9vrgSGQzEgS9Um0u3Y3nIhJ2sULsDgwJiU4W1dgBzLJyQSPhTmEmWrhUosRhlon0EeTeZu lGk214A2zwfvQbYWPC4VPBsNKbfK1m0x18YShCC5h2qi+KwQfI7SkQkLqbny/ujIR6bZS5oeqEDQ tbz/dKEymHuYp5nu6eHJse0dHYhwbIOJfU7Hiw9YOUOoxaqm2zU/t5hapdGUp1wUIW08c1bnBKda 1dECzI3usOuykwKAsos2mduLCxKtE+fKZ21hcWseMC4+Syrzuu96bWUf6JPLk2+1krJnMD64urlR +1yEw2Uq/AlCIAGLB5IsAd4PwYpFANgKWF1QtnhgLSva3d2dyl0CLNgQpRgli5M2Ltp0MbHRxYU9 DodWIytimLdRE/eLYMx7Sz0U2eThSEGX78Pehi4Rxo3IIoTbRE4zi7GduN+2yw8fbMmoCCMq7Y4t 6CzCxEd3C3oHvo6R0+mSO/R4Yh3Ma5F/Xm1UGkE7oawkg2mWqvoeA9DFcsH2uj1lYvw8y1N176Tj Pp3Z+zdvbbm30Jxnu8K8ZEvXVipXpIcVSimyFDBL7N14DpCpoeMX9LLE0E9TYYJnB0fWbbaEdUJ9 GaBkiiRRrSaXo3dfYu/lurbZbCnskGuLzE1SBMMIuqi8Bk2XBnpa0/xQDAAAIABJREFUdGUrrmTn GSAL5VkRIRTCKxtjwZWk6oTWazb1GmVbYIqNC6zyAhiPbTcZ2+vYaWR9LsfLD1gNumxm+XJlx62e ff94Yz9dfLK/+7u/sx//8GcrtikNy5r0B9gueJwpg3fT7suEtdCqab4MLW34U6OF6zCBP1F+sch5 gHHP6aIvHkfWL1eUKRTjyBaTiX1CpoaSi8CHFhVcKYw4CyW7+XghZjSZE7iK3j/fKhNk2Bo8CuYz e6mwoMlcQ9DO769pq+lEc3xI4fBAb4ZjgfptLNxPDi16erDZ9Y1NfceM7h54VmmT2mjmDFjBazh4 T/heQTb4bjOzSqVo89lGhhSUpnQUs2Jktf2uLXaZFesOmF6sE5nPxo2WNVoNOzo7daYOu8hau4K9 Oj63Dz/9ZHmS22DwpEyIMpvrp9RJRm7z4JrBoKwGx6igzJTfHaZL22wSOzzoy0i0mLv5UNE+ymU7 evdaGFWOKWy0U2k3iRJrUf7vIrv+8aPY+svxxI34UA4/jVUmJ8wZNmt2eXNp7779ysrVhm03KEHU rZ4lKuHZAMhuyICGj49OImiFJtfCikeA6w4n26u3FGRmDyOd1yxdW85gOs2Vx5GV80jBrLjXtgLu TbnD95h9vLm61gZH5i9SMsB6t+NGkWoEtILNwSMLsbI6Wzmy7M+PnzPeX9pQ9IsPWOFAriMQN+kc KgOp1axdc/N9LBQW8bPdldeABzeA8Ci2PC+U75QxMNaDnRXgLPwZjAnohskTD/3y9cZ1toZjgde8 rtROd6ZFFhjKVXAryq4CFLGiMhRZUElyN7F1OnW4GXwtbGGxRl/ORFQk4/r44Uc1EqAKoDlOoIEh DXA/wzY9chmgbKlwMl4slD2iIoDNfIKKAe1/7y5EOcuhbBE6Qu66WgK8/QIIbHT5BlbcIxRUGCCT kj119vvyBBzOpwouo9VGOAzTAYenx5YWzGepud09DWwwHuo8oSrgigzVQKoP9cpzOSWVjJ0pO4FZ PxiO1IEjcKiMKxX/jUoEGYus1VDu9FIvfG4QiJ2pRWqPN3cq81ZpYtVdZtWo6fhSkIz7fZvdDbUZ aDazXtNngUkr957st5jmlhR2opYgypeCLBSdtlYaI8cFGuVMcHXOg4E6hFGtbOW9jp4tEWO9Ei6A /rq6dBnkYmGD23s7Pz7VdXdrLrPU0PvenrIzMaM/o+PFByxwkmKxbBnSJ0uv1ZRsHMlwNLazzivx hBq1mgOH146DI1UGhonBTtaJ5XTJdgVxZihFWPyUiGRZjoi5sSQq2DxJ7O7yWqx4zDXpLj0xg0cn iG4Wek6+0yYDT+R7C7HGXCajkcpAOcBw3gwCp1vvvtNUWUIgg7oAxoMqQbZNXInRbGkOkEFfySyP J3Z3cWVWr6hTCaDfOz523bk0kbuNyJ9np9ZstZ2LDmWGN9Eg8PLzg7MTlTMA7CzCDlkFvQzPyYoq 3Lu6WXur36F0Qy1CvKytM00g06G8ZpwJALx9sKdMCBwNjfaeJ+RyvQRRsjyCiRQPkIR+fFSwCYPr 4qZVSiKNEpxoaAgzJDCgUsH99gTRBlLUK3+/6zVnAFGrKWujJP+ff/pkpWLV8kpRJXW911FZJiln rs2cHyMAu4IOeBOk0WbLum03eoQYH1lmacsGk4jdDvEUxVoyqmK00/3KoEvg6HxzK/mf5n7P9pod qW/A6wtzquWdGw6fPg1tfPtgxV9Hupcx3WNkb7a5Attk/WTmmwKfy/HiAxZpNofIhc2GHIfJKvRA A5R7oic7MKRMMiYpA/hd+otXb2y4XD1rOZEd4ZDCgwUWw9+hvslCh7kcdsDEItuAZxVMmFBQEmWR qwvpW9T9wyMNDzNuwvkoi4gL4jEB2F4jkyLyZUUPrIaqaaejkAmXqOoyNHg54FwKOATKWl3X9bSY K1iBUYHPkD3CjNdM23Rq9W7XaodHul6wOn4OPkWw+unjB43lANTTtYPyoHm8PBfQDz7zy7//Wze4 DOWjGGtDYPyG+3t7dW1ZJda0gIKBn8WU1M2ubu1iLOwPKWiVvJAy89wurq+UbTm8xgU9BXeuc8yY VKpgQcb2fn//maMkl6Kt+29hZbOZFff2lJWKSkHph7PPLrMSyqKVqp1+8V6bARsU/xJQ1wnele6a 4OAJKPf/ivXvvQXRpqIZgefkfIyoouNTNYplK9dbVolLVkXFIdqJaV/eO7BomdjNjx9lIEIH92G5 ETYm8wwv+8Nzxv2nQ6thcezpc0dPUdYJ9y9JnSmr97r8XI4XH7AkKwM5h05Ou21v99tG0ZPMl05T ioCFLRQUhKehFo1Knu5ODwvSwE+DgR5USgS5OPvB6MDdCuk8ZQOBjGwJprlGNOYz4TgyDEDjHJ5X u+Wwps3G9k+OrNtq60GH6Q62QZZAm5vSh4xF3B4vEkjmxvkiCienljyTwoCG/RiKXa2cKap3WP7l +df6Oykk0IFEwE5WY1tRFe6ub/R6cq2uVcXB0qB2wY0aAVaTJWI1z6yb1BygZ6wch4jOX7DvgjjJ zCR8rjiNnTlpwZfe3Y4yA9RPOQcIldxHAh/Xxr0mu0TEj0DDAbgOZgZuBy1AnTz4bsF92WdlHNwz le1en4oFTUaqgA9Xio0LxYv1WudA0OTr8PUrdW3ZJDSoPJ/bzf2dLciaAdU9hYJ7wWckqguu3fO5 yruDJoPqNelm8YzhQlRYJJYNZ3qeEEYstupi0aMQqvfn86CTu3UlMhkfFA4yfoKUNkyMMRgkX67s T9/9wVqHe8INRaeo1sQR5Ln5a0n4wg4WPIRP2vzSM281rEQZN50rmFHeMSvIQ8gDLnVvjAjiorhM H/78g4IYDyUBAKyI0oIWN4GNBQ7BjwwCnAmdKHAv5EAkFcOCbzbl8VdBaC+OhOGAy9BGB5DtlPvW 2utJtgXhPikHILMMubPvvg8fa71MhdHQzeTnPPR1MhaysU5bkjNkTlwTB1kW2RElqKRmpKQaO+kZ DE/hluU7++72Tq/x9Tff6D7wGnQauV7eR/LR3gyCjINFR7CuY3vv/fJQMcCnj6BDYIeugMQyYLao EF6H3tFHCirRF1vXBACYfiaVpm6qQEqsiNc12uqufvjT9362bquNh5+nlVSjRLyGTFOrVV2TtKi8 FdYsSYUxspEEHbCEEavUBcJ5ttGwezBwBYinqQAmRuCYbdYKpnyRZSMdTaMAmSLKcMZp0shlYJjH Zl6VlmmEy0+fdF/6r06cr+R8aU/DJzHrxbdDYoYxJmg2rZateqvnewVtg2sQBDAayc7MKkWVn416 02aDJ+vY53d8NoqjHJQDCQ8Oom/LlRbi43j4XKYFc9XAoeL7b9++tU+XF3poPlx8stZ4pOAFU56d GewKLIWh6qeJG/PhIWx32nrIH66vrIKoG1Iq3bYyFkBlMiJIqWkxtl5nX68JLiX5lowhaEd4nXsM COVNXh/agrKKUux277hh948DgdtkVdKRp5u1t2/nJ6ca4WEnZjESfKA/cC0ENQaw2cVZxCx0dnky MbIVMCOB1gwoF0tyzmHxMEI0Go/1e6iFkgXxu2RFkr/JMg1M2yYTfQISLDOKZDBB61zyPgRvFifO RMWSsCmGsxEKJDOl3KF5wSzmfDi2H377naNaHB6IcxWMUrGgl3pnxQnckVkR9AjSjEBpYBqzCDTZ t7n4YNjDk52OH5/0LOCdyEaDO1GrBdnzwM7PXznteIaYIbhCOPVjMpoJFIbVESbFfWLzIItqJ30n 5Die4G9v2WAsRZDZaOLLvJE2g6xgYvc3+h1r7/X0WbBZzA6nGp0iwEluu1iy1199YedffmHWIOuq WtmKol1A+7CR25w+l+PFByw3q7FTRnN3f29P+do26dbWw4lVNjuNY4B7sHvLyDSCge6Aaxli1tx8 F1mNpGxxYEkTlVfxoKiRHXb9Wrkmc1DKCiziT05OtbC6sMl3uZvMTxORChF600O7y621v28zY2fd OsXRuZdYxuMvS/Ugx3ClkHC2nSu7wDUWS4urjqFNIIB4+v6br5RpPFzfysePQPaP3/6dyqru/Z2Y 88FQlmyJif8RKg0nJ8qMQvcPdjbnd3t//1xxUIKF+TaNAvV69stf/tIt4IdYyg+cW7TxTs8zyuGF NKW4hwxb83NKUTI02agVALETK7fImMq4TNiiNLElGQa+oVFBADV/A5cJJ8Gqz2B4XZj+BGEyaEk3 L5ZiwfN3IpYq0C9tRfcNLliSSGXDmm01GhpI97Tb6vCCTXI+cM8IUFwfgR3cjy6vBo07Had6iuu2 Z/wDsPOZprNEDkPlyGVmBKvWcGCdLfSDlkUew2ydnZntHzrF2EbNZtlGBFegBbq84p/FkEodZkUm iMEFGdkOsxADh1squyUIOjuMz+f4DAIWJYj7B3JhukxstcmsVKnZEkVH5v9KRaXpBAxUK+lmHb45 18MUaSceuIwA49TX7LwryPPKejqvT2x1c2vpbCxOzt3FpTCGdatlKWJukQkPKa83CoKbBaVWbuls 4bCKg6La3ehgBRkXykvKNtlsHZWtTIB9HFrhaWr3oz/pQadZ/u0//r0Vd27QWrhTEc/CtSUM4nad UcZw61jjR709e9U7cC7Ty40V3r+1RbqxGLa+nGJcyxzAnPITiga/e7rv7OoprwgycLGml0sFW0q4 cqskMudum9ro/l4qBncXF+p6nb15Y1m7breX17a6v1e3EUpJlGzt9du3koDJ5itlC2BEGNLCv/qb f/i1PjopHawyu7y+sv7JoTLM6l7Hfv0//Bf7X/63/1X2WQSlZ1++OLGCd5sJrkZ7DSfgx+Lvnxxo akAKoPf3lmWJdV6dmuWpTWcjl0FOi7adz+1P//TP1qjU7IfFo7159VpkVFQ0MPgQtlct22j4ZPGu 5KYS2k5JlcwL/BKe3EGra8V233GhCgXrNOv2/fffCy/s4Y1Yr1szS0RlAQ8jsxQOWqvp/zGqLRWd 0S9aWzvGmzCqgOZRb3xWwn2fT8DiYKDVHK9Fu6HHU8SjoTWO318c60Hk+8JudiY29GI0kkUViQbB Lbib4EIjxnd/z/LFWmn/MtlKiobAhFqC1C3bTrUz0BkkD3J0ZLPGTCk/Gd54ONSuLXXNkjOYQOGz 3+2qdOO1YbMPLq4dAH+w5xRP2207Pjx5FmwTbwqCoRcJ5Eu8MLLIdWq9Vlu4CVnEOsptNUudQgGu MmSCzAiulmoaUDKz8K4WzjdQnoeVqjJRsDHkegCJJ0+PNnwcOLDbu8cAzmuerlq1drcnHtb04UkY jnS9AM298mdW2up1FMxxZmZs5mn43A1j+Ly72ZOZRW2bqmMqwcWuA+oprYMDMqWyNiDfcaPM4/OS I5JXeSVr4osNiExxy3hTs/XsRM00wGj0ZMvxVPjUw2au0mvbXWkTkZoHzwvZbaVkOWUmVBjvF8Dn xH1r1xpuUBlahe8yEl4kaY1VmDTo67aZZc/D8UH5IzROuD6NbDXrokFEydZZkXnNeZoAVvor0/1l HTQJ0SLyzGE+5DXefrOZvX3zTu7FwUYd4ijfZ4fTHFitbsvx2GkXxUU96GGqnt0YwuXtp0vxoeBr SbaFMQqUQBPHI5qvHtx8W62uwWhen6ChkR/J0mw1V7f02A4lIAGCxQLt4OLhWnNtj9d3NnoY6Nzk s1ivWQN1YC/7os4g6hA+cPGvROOkT7W2UiVSh5Iv3nuzWkinnXk1Zhc1fLvZKIigocUoEyMyw8cn BRLJnjQarqPK/Zsv7I+//04Bi+uQiSpUg9y5t/CeV/e39tV+X1LNBH+CQJB4gYdFSZvMlsrqOCfJ C2M9tlw5J5pez2aFyOJmzWw5U7ODvwX85udMGKDlzv1gIyBLDAtfEjFZat//9JMzPPVa/kF2mt8j kO/Ds0szccnCwHtUKVljr6trX1yP7GFrYrNLT5456nJRzRHURpdDR8XgupiGuBq6eU/4ZWRQCATi YA0ni7IbnTC6qGSoSO0QbMHe5Gvp9etpbHA/eO7e/M03orewsewIdnFFg+J8vi9VVfT/6/gsrlga RHFZH/y2HFthvhRwzAONA452c3PT/x8/fBD+wcNw0N9z+AE4jTfOFAN+U3S73HJlP/3hT/qXRQ72 QGdLXwQTEQEbUhYNWQAqAJQVChqoNZydikEPQA0uQ3eN7hMPMbyw4dPAETfRtdrfU7kZ5hsRxUMD PGBSnH9QnghjGRtGPwjGe319ySCBbAPOVbVm3ZNjYW0Bn9K9YGFDDuXffCceGdgNv0fA4m6weFEe GD886Lrk7DKdK3sQPoM+VpqI5wbYLSB8tVYGSQaHhhYGF5ZkogjwfgRqAnLA2eTfGDn1VoIqGQmZ IOfJ79ze3FihWXOduH7fOeL4QWbmLdHj4rMLAo1kQxyMtJS7PSdR3WwL2KarC7kToioYJL/DPF82 WbihZbrKlN79rqzVDs9PxRGbRiUFHpjnzDHCYs9XjltFRoqaA+iVNhA6mXSbwSHhlXm+H40G3oMN k3tABhpmUSnB47gkekiR68KdOt0Ky0O9wpZuMuFzOV5+wGIleHNLsajzjrUWLuXWIGq3/az+eXx4 JByBBxkzijfv39kf//wHDehCEGRHZvHIIQdQdDZX0AMglvlm7hYMD9siWWukYzl4tLvbW7XuWRB0 zaBCQFfgfVh8gW7AwxoY57wXO+771lstcpkUeIMLiQeS6S2WlnuFhkA2VFbnX1M28cgz51uVUnCk zJNTef1iCYJjXYB0IFqKexT88VYu0wn6VWF8ieBIFsFXgznC+cJlXWhgrdfSzd/rHikL+TfXlroh awWgruuOkX1xb1i4wVuP6w4O0RBPCUaiMWw2yoTIPsF6hl7Qj/KZbiegOp1G3o9rDIRMjpCByk2Z MR5GczAe8YPKaPhrHnTrAiTXCdb15dt3YrNzrSrxeWYYBSo1bJ67TnM+nbpzJQtCUQJwnDEnc36F un/I6PjsnBKUgW6yUkrdUMaK/rK/r0YRn4WclcjCGnVlxgXvZciIlCzJPq+pnM8kYHkFzTAiylgK WAVExuFwZFtGdnA1wS0GjAZnF2zqtqndPD6oZa95L3wJly6Flwxx4gZiSdPJQmaMn2wdTiJFzayk EgZ6AdwpAgwBi7k/zoGsALoC8iew8HHJIYjxXpc318pgaOl3+h23sJD13eUaEYICAP+IxXG613/G q8KCF4kTm3ocXiAvTqc2aLWfTVwJACgVoP80yVJhalAbAqWDcxVm1WioPNEirFaEEfG6YENcExtA rVVTt4rZRs7508WF6BHCdRCZK++Ei2kI2itzSgP9YF+yOmRl/YITHyQooJcvA9ssE8bHZ0MWBlF2 Pl8KIwQnk2VbtSo9qWpcUhDjtaBfqDTeRY4jlSTamLhu/iZkMeKR1Wr25z/80bkr97vqZMKby6o1 GdcWMpyKor/Yt+1yBWcy6mHpSd3eZDCWWgMlHhvjw929qC7oyjOeU86daaqciryuGONdbDZrLwoo rM5raIVZzeAGnQ+eBEeUSkUrgqXlbgSJc9mkzlHnczo+i4BFYEm2LsBoAj7JtLtdXV3b9OZegQQm N1QAOEiUM3TJsN2iPOAhKmAFDxGz4VxwgkkofCha0YvpVGUHGEWDMqNRc9jDaGH7dAxLbjSEOUEy CLIs+EosEO3Svt1PmcH5MLohpx+cmpONKBE53bua89dbJk67PYjqaSRouXRZgJ8FlC47wWOzkZww rHIe/jq6VfOFMpT1yPkNkoXx+5SdlMHCfIqxxk+CTZaGpgGmR0NlkWdnZxY3K04gD6a6Fezx6ekZ L1IZRMdzNlMpJzcgDXzXVQ5KWyyl3yk5V/13jOY+meo2FZ9tMRjaAoWDWlWsfDpsfHbB+isMkzMm Ja9DqAvohZEBTx1eyGYUXJWDDVmQwiaoaNRmu3OW9budDVYbS8dzW04mNri5EzVCm8zWfUYILvL/ uEsvHhyPL+itBXB/CnmXki12XUxGiWrlqpuDzNlIRgpcUbP6THolqHEN8L14H2V1pYL1m205HBVi yvyCFQhosZOZUQv8MzpefMBihyUz4ANmd51vVlaum73/6ku7vLyyj59uJJMLBvE4m1ipSteobcfn p+LH5POFsAfm4dBGYtFRBnLALmdnhkV+9elCmEuv37dGu6UuojCN7ZMexpl3i8ZfDh0r0vwPnz6K UEpwlNXT7Y0e6PO3b1Sa0nrHY4DuHUGhd7BvhwcH6qQ5cqIbVg4cKUoXFhXXKdlmaAfeEUhMb6SN V3Nbd1y2KN5SVrTHu3vnwrzL7ejkWF+EEBYlwSXs9sp2zCQyyCJFLXUaOS37TMO5Dggmg/vyiy/t +PW5ZQXvf9hbKTASKLr7Du8Zz6fCiWLfmS15Ky/0xlist3e3VhqvlBGLGwaW5ss8sVUKTn1UX35+ kHINoiznJ8wxcjgcY09BC51rl03Z/r7943/5H5Xxcf3MQcqggkmASlU4H3Oi0vXyWSyfD2Uh84Ea 7VostPm8OX+lRgJYH1gkg+7SaD86chlUpapnCNwQHJLRG/C1BefcaOozI7sG4yRgheCYP45sfeBM Pgpk8WyoZNNo80tM8a8B60UdpVJZTPcKhFA6Oou1JXlu/+c//bOYxpXDnlmzavezsQIbpSLGpjwY PFS3dw8uGOxmDj9Zr2wE6RNRP2R+xyNbbFbWPXJOKASGoNEN5oJfHg8f4ClDxwQBdlEeTLCiBX9/ fSfDzN10YoMssQIP+65g+cW9XV3c6JwIJsj9Lm8G2uFhaRMIRovMdt2uiKziHR0cSFfq4dOVzqXT 6tkPP/wk962eqBAdK5Vie//ujV0XIlvkZsv12mpxSaUY6gL/9f5/t9NX5yoJJSjnRwU0FI20Sbfv Bo0lxdy2ymFs4/JY32u8PbPDL76w9vGRGOQA7tyXIbI+ZnZ7f21ZqWDTlePAQYdViYZMMioEhaJ1 K3Vr9Su2ehzbuhXJNJZN4O9eHes8aG6QzZ6dnDqqwtBJ0wg7RLywUbHO+alVdlsbDAc2Wy6l5PnF 119pYwFkp2u7y3f2w/2VSu9d5JQeCC5gl2H8qNZzoDwOOVKUYCCbTPTowP7zP/6jzb52WR30Co3a jCdOgZZNrVp2stXedZwNZr5L7fpmoExXJN1G29b1qYIun/G2GFml11ZALs+G1sQubbtV2RknFUEK yFAzl8h94PWAO+DxQa2AwkPLhHtNto6Cxks6PgvQHf5TVIoFZpO57BjTKJhcg9+/fqNyRSM8OAh7 3SNwKEYuAmDMw8ADlqM8iZZ35MwDKC8p56Sd5aVmAo+GbGC9ddImWgwwsFFp8EO6ZBWQUqd3A1s+ jcUWR7SOkhDcBiyrfbinLIdMhAxhMBraiPGV0cQtoulEhErOCYoGZRoMd9jtB4eHdtDbs7uHOy34 RqOuzEPdyZMTXdPTZmM1P8yscaBoZxUWGlkimYSXfgmLVVy1bKuAq6xr5P6Vlx9gNvy1weNzhsE1 hzEcmTAwlOzZ9Lze9eDeA8muM8hIC4tXrjfFojJKMlnugT4Tcbjc75Ld3NzeWq3qhrZls5ZsnIz0 sivFC2nPY2vW9nQRPwAtrhpdXAa7UbbwWF0QvOPz5LMSRYROY+b0+Xl/Wd5vVvI8LAaVBW8yETqt vBfv+SwrjbEqPpjbXOz544ND/T5KDOo8VysquZslRwImi+d9f/z+R2123e6+6BYELDrSBPbNwmW8 n9Px8gMWOzIsbj8IzW6cbd2Ii60Sq/crVopidV7YtQNwTbAC2GbRQlKUPhKibGmqBxyCIOVmbq7D w8PHwQIJluV6+NGRimNrYDjAa3i8iY4SwDuMaKRbhvcPws6Ozk/s8PRE308XKzk2w7nCCXkb7WwF zgP43ahJih5tKUo+HnKyCH6X4MiDzXwbOzy4GjtvGM7+dHVpv/72V9Zf9e3m6lILMM7LMn2lyCjX KiJFMgbixmfSZ3cXOoqcP6VTaL0ToNVZOzi2ZbVh2WJtj1MnqdOuNzSmwzkUYkeL4LUktidVgqoW M+C+HLO97nkQT1SX0vPm+DwIVJLWyd3vcm95bwIgfweGJhoFprRVd/5uo8ndjCiZS9VhTnRfoWqI toIIX+w0vn4u4Bg0uFbrzXPWJV5b3U0GaDaSzM47E4WNKqhGuOzRCScG5x+ZXlDObtz/qyO6mLs5 ULS1uGasyqo1lfmhO7sG28vpVNYUsFBy0OjZZ3S8+ICVyQNPGgx60JAbGQ0n2rH5rDdhBg4/uXpN WRY7MwubB6rt7buUssNEBrcAhPW7dI3F7XEa7fw82MuVKx2qKBFULS4WnjtAch/eJDZB95ygOJra ZDS1xXRh3Vrd2p2edXp9kVDT08Tq2cqq2NwXizqvPS9jM34c2nQ4sjOvcUXXCBAf4BrQmoADqx+5 E8B+GT6UY5UzV58+2tfvvrB1luh3+XukVrhPDEdzLzTQu1mrO8d5BrpGsCBT84LszLsOacefLcRq Vzveq5wyqsP/Y5RKyRlUG8KmIE11ZjcT5/HIfCPBh4UMhndzeSV3Hzad0BjgHAg2ypxajqUePAM5 Fw1yM2aDTHSjqZ8xDxgCDhhbsFoDtNdn5j/P0LEjWIURHzApNVV85sVB9khXEceegBMqSCEeiMrC ZqPS/+TtK6FMcND4nmYWkWmeL3RfTpnnnE50XShEkN2TZYpbF8fC2chqK8WKZmDDOI4aQVA2vCnI 53K8+IAFFiBg2rf7YU9vd35Ad+mIlzwkyM8wogIoTkCBn4f8CLshNuzMdlEKyV9wNNKigA4g6RU4 N549/fO2tLpSPqPib/WwqVOYKbgB5jLIvH90pA4SEjNNNLBgitNximM7OzkXCRIsCSpBkQXpO4OA +AQkcDHoFaJk+OAIlqURlWSjXbtA94yyELmZHzIbzibKWti5cSKGckBAoJMI3YIMqLBFKC577vhx BNqEBsIpl/K/fE/8MN+NC5kZOEsgdLIIOTcCPmYbGIHUoKHSjWi3AAAgAElEQVQqeDmOUqXbdcap 3mpLGQlZ7t6eo4cQlJJU2TALXxkMmxJZCXOFSLUwqIzUdBTZrR+p0hgL6heLhTqNBOUi5zKb6/WY JRWtw4/GAKBHS9eFJOAhhyMNd58BEpD3Go6Z/oxZ8gx4FYnwe5B/AxGWc5YQoCfQQrX48eMH54G4 20lemvdmogKwn+PV6ZnLxphrjdyzBQF2aw6GMOS+P6PjxQcsuoMO7jXpjP/tr/+TrbOtFjpdwunU qTrKtgnuUrbV7gxfCB5Opela8eyaHDxklBCFYsG1y5HuBSPzmubs+o2qI0EGKRLhGCguQL4sO9+9 QKCMTksWv3unOTuIi+2zQw1gE9DgEpGRAN4TtMgs5jINXelc6CaRHbBbA8wDirOAKJ34l0xlOp4q s2HREZAhLPK7BCYwkFzXkHhNK6cjxfvTDeU1mIsLzs/CmCCiet13vh88HMMoCQPVBKVglEpJSFkD JgZOSFcVpdIw09cqVXUvCDaaYVyvXZcTMww4UUmqWUNEA7kdknzZJMrMKA3JjqE8MBakWUD8BLOt LN8p9xj1YdMI1vDge9AlisuKmgn3OOfQBcWhutnQMyCHZW49GxBSRDQlSmWdl9yukaeBie8FHDVZ sHUYlbK+Zus5S2ND5HNmaoIJBsZ9uN/MXXKIhOqzM+6lMj8yeRzLveKEZkEZ7Wk1rFxgkmCjhsFL M5j4/3O8+IDFQcCQtAns9lbD4TD1stWWc2FDsjjf7dzOulhKfE2kS5jcRebqnLkqvoFiStfq+j0W hspDAoqXPA7Matl4qURxr6MMxbO4A2+HALRt1q1Xa0lBgXIuKrkdmxnDwi5yhFF8EluUC3VlV4Xc VGq16i7w8V5kFMwGMl9HicH58j2CJLQJKBoqpwgye3s2HI0UUFeUH/CPmFNjsXoteYaT5RTjcbep Z2+vk1RBRIPD0C1KZHEswLJV2g0Zy/L7LKYe10zAxZTB63udElQp79LUKRs8PHnPwVxDCUGwLmwy 6JEFkwgCjDKMKvOXLnARrIM7dAhYGvWhfPJYkoi0MP3rNdvjM8cKjOcBAmbqM8hCLEoCm4bK+dx5 VqLIEbp8HGGwPGCWugc0Jeh4UtaWnUFqGL3hs5MgJGx+mcqu7dGz+Pl+VHWYGUEJXJRNhufraP/A BceJ676WyVzT1KziOHE0f/R52ud1vPjrZRHoYYNpXKvYarOynMn3UlFKAPXYzXPBbSL4TCcT6Thp Jk+2666djTPzgpKDERFf3ogoCO2RzAmQnTckG/MlAt8HaJame7XyPKgcpvc5qr2mJv+lN75Z2tpL D1MmFNbMCy7s4eHearOZ+FFkFSKFgnFtEpUzWoDs5tfXdnF5qSwOLpIAbmzZ606at1hyOzYLZHw/ sGqrLS9BmUXAJqczRi28dTbqLGgyE9mzVx3IrBnJ2HWywoxfit4997PVtPK09kxgVeYKfogNPGoV cLD6vWcsSTOO7Y7LaPLc/77jcsndyHf0KBfL5ZLGmuSfuFhKLx5s6d/cz1LsbOAbmXVqDZW/NP1D mcrf0h1lXAbkhw3q9BgtMCdCCFZGeamxnW2mzqUaJswVFmJtPFwbQa1BEyPL/sIL80av0tNnHtB/ vtxTghElMPcWpVdeA0mZbq+nzjC/w+eNfj4Y3hdffOGUN5ZOgTTAC2vuG+eH7qE5oupf9bBe2IE0 C7upnF62O+k01cAwqmQTqZX9Tr5cpjabTzRl/3RzZ6vhREzkvVpdDyrYBN0/xjmk+w7TmL/vd7Ww MbdYFRzQyrByMTP7/vffabof8PrdF+9tw+KlVKyUxSandCuuN/Zwf2OvX722Uq1ov/+X34rZDa2B 0nSSrmWWsNgkdnF1o4d5MnauPQ9kU7O5K0W9AkBQbgCTqc7q1uv3JNVLaVYvVu2HP3wvgmu12bF5 mlmt5OywILACwNebLfG84IW1YdVbwUbDsR0eHev6m/sHuu7ekSMzVrquozbxDi+1HEWIkkpHsjwO Fh6Z4nIys2HlwYY3d8oEmQOMI5P+Fwquu/VO96Z/0Fd5OpqPbTqfSj54tlnZfvvMrFyy2XQs2eHH xdRssnDlK9QDc9kU2dEWFYd+z446Xfv9H76zPMptn7nR+VRltZ6DYtXmZbS/mGyoqkmBgkSxUbPz 8xPXDf10aRejJ6v0+7ZerW0wx9moat+c/Y02M6zGsnRj/f6emiIIEZJF/fjD9/qsIoaxzaxRLOr+ rRdzqzXrlhZ3Ns5Xtog2tl3Roc4053nx3R8tQ0Xi6FBWaKjUkqUts+S5u8mmRYnKc6lB+N3WYvhW vkSUXtbP/Alf0vHiM6yYEQ4SH3P+fLfDR5uSbdQqdvcwsL//5TcCmdXpaTWtWW+KwDiOCna3XNqH qwul7iLvYZiw68pKKy/tlD2wsNrdrn3x1Zdq3f/45+/FfOc1mHMDxCfj+eqbb7SLw6iGEiBuFfpN qZvlQ/Z2RGvcDyFjPnpyeGi/+foLZRh3gwft2l999ZVNens2H0+0UNV5i93ICcOxnE8Aoen6UU7R /USfHukaKBQ0DZa5cwsCQyFgVek0zqYKuLDBoSJgPzVK3Pzkl19+afk2s/Fo+G8oDYevz2yzWKlj iSyySJOJ61TCJaL1Ll5UvWGvXr2y89MzYUp0vzjHx7tbYVXcU66Bz+i73/3Omm3nHQgALwIrYn9Z puCvAeL9fb1e6WQnfIx7LRloMqlqzfq9vh0fHSuwk8XxGVCCMlrFiBVYE4A7igpkO5SLHWzeEM3z 6qVkYJhsMJ5Euc19hd2e2trmTyNb0lCJIgn98boMpxOseE9x7jAK2Xg6BPOHj6683y8cOZ5Wq2OF xUwuOykgPHSNalXS21//6lvpYD3NZnZ4fCx5moimim/clAtu6L1ASUtW/LPDdRIdPeelHS8+YFGn UZohEaoZNyRXsGqvVW2/19ewKlgFOA9fGkVBdjcu2MXdjZULkZySOTQe0+s5y69854iS3bYbwG03 rb+/L8yBHb7baFn379su+4CH1GwYWiO1bSasRcO7lJveMOHj9UeJ/gX98GS1sUl1apXBQF1MCQeu VmrP40sI0x2QGiZ2vVR3xNB2S+dJ5qb2PrgR2k1pIuZ1PkFw70nBBc4TfJ+gH4XfoOgZ85nNUJYA x7FcID3nSYmpMRd4aqIiuOAAnoZcMAuf/xc24+3huS5894a3D7bJI9s121q8dOpCyUcGincgpWuR oE2mNh7b119/7UtEN3BdyRyQH8pJ2ar1eioPCSTrydiZaxBMEbebzUWzoImy3qw1CoXyKlmr4V6z WTmAfrWxe6y10M/aZvosAev5/CnHIehiWLKpOychGjGb5dzuL64dIRQJbQJibyeBPQbKCVJosCXB dozZw91CWejiZ6YZYFrNqGQVcy7iUgGJ0IYuODu0es3q3J9OS4qlOyuoOwiJFQiC34nBwf6iY60s SwRYe5nHyw9YFArsTMQuOEDskGQxDMvO51bJc03rs6uR6gcch2zr8v5Wu/IvfvFLV8pVnUu0zCyg CXQ79ot/+I1m6xB1o8xEDVTMbgaCmfuCtDqfafiYQw8lHTnfaid4BY5OEAd0FImtXVxc2DLP7M27 t/o7vbcnLgYGNXwrTEFRPuDcWexDnF082fDg9FzXwrzgerlW1iNWOhyxuCgvQwKbyuZCpHY7gQB8 igBZjgs2n4zt008/KmiKckBrful4RN1kz0mrZJnuldRJK07RATFD3ofgOsi32iw4L83I0f1aLW04 fLQvux3bQgpduUBDBxDZZF1r5jLVAKyziINBK0B5E7chFig0Ee/q87jeaLgYBQkOMDSpudLs2Jka HwQ68D+eB2zcpECab623v+ebC85st4aZBuRQr0FPwKKjO7pzGe+az/nsTAFdBh3enYjP5/7mVs8Z 3w8mGFKVmMzsEZ0xMrwqBOBc/CzxvgqRjWZT+/HTB6sNm9aSvv5G+Fyh6DKsfAfXzElqhybP8+Fn S/8asP57PcKuY66rwiJFvpaShUylGkca/dCYBJkIYxY8FHSDKmVlRrDKyUgIQHTdJK+CwkO37fhP sLYR0Os4OWQedOl/U1ahKMlAcrmrgEMmwcMMyK9O5MJJ+B6fnijA/O5ff+uklw8P7eKnD8+GDaEE C+f3rF/FQDNtb3W6Ciq/CCTK/iCq5qnj/BCUmk3NxdG5E3lx5RYhXTXKFTJLOoT8LRgb82uDD5+c HpQfHibr4P3JTuCmvXn9TufCPVKHq9kU34tzkAMPmRzCczuXRbA4A8WDsosuHdckTS0CsOcaBeHA nVcuAFvi+11s0LKtdK9gI9E75D0o40Knlutbzuc6VxEsoawwtcCgtVcnFTWiVLSbjxe6boHrGI14 5dNnyZc4s/qq/tzlDBI8fIbaAFFJnS0kwkc5TYczZJh8ZpB5uc5Owxne8sV7J1tH4bj3DRxRRBBo 7LRcE4bnFnrLz5jsEWEocucQ00SiC5v+VcDvRR0S5yujFeW4QmQPAMsMhm6Wa1uv5sI8WDgAwepY +TGRPHFdIHW9EGBDA6voHni6Z2BPAj7rNTeDGFVsg7YVZpf1ul4XXEvUB0oeOl2tlrI5AFnxd25y 4TK8HwueQIXUzcnBod3f3tlvfvMbZUi3dAp9RwqVTAiZn7YfnQHraGQPd3fPMr/ikhXWyjIgo+Kq TNDi59UDt/AJHnKtvrnTNfAaHHTKuof7+reUrC2iK4U9eprYdPikf4MEsmWpPdKg2KxlCEowCuYU MmpFerjV1LUGcUHwMQB4yRYXYmVScL3w++O+hU4q1AxK2/Hjo6ziySTB/5C/oWwcPj7qethEJBJI 9rZzPpPgRLxGiekCxn1ovhAM6WQ26spWKHcx8yCT2u921L0kQGhcqFG3k9fn9m2tZuPbO+sMBurC ivYyX9gYh2rIu7xexUldS5/fyw41G007Oj52HcttqnMSFaY412anA/VTXgMKSSFS0+Pk3RvrHey5 8ahGTV3EyWSma4uCWt/OLNrCwXJuUE6x4WeHHy17qceLLwnh30jXnc96m0vM7vFpJHIkpMv3799b p9tVWUYWIUOK3DSSctDuaqGTfQQrMB5c8WwgJWK1hUkCoG2lYtPVVJkHr8vfUSb0To9UpoGtyATU EywJXJo51HjFTm16Sh7hbC1HPAyEQvFt/Gwbrw8YHkiFh/v74iLJPaZccYF3MZOcyuh+IEY7ZRzl paR/Wy1lTPwbXpfgwvWL7LnNtJAJFpQmwb1HXCxvEx/GUzjv9WQmVviWLuNmYw9Pj/oRnSzAdYa1 yXCy5UKZJ2WjTDYY4C1VbM6c3XImEivlINgii51GASXaN2fnIoUSZJhGIIvl3rabTXv7+o3dDx4k y6IASsnFPOhRJEyNDQDcitcha6FTK4Y7PLFSUTI3X3zztVM0ZVB6uRSpVDOYu9wa5ZLtnZ9Yoebu N4PzdAK5LypR63UrFZ0uF58bzQOydK4BkjKf4Wa9tFm9rkH1SRw/44sER5oJvL5MVZEqAkes/GX0 R1ka4P9sIdC94KcmAN13fpawioWdAzz+TZfwpR4vPmBxiBODTArl02wm0wMekCB0JzD76dE+ffgo ng6kzCiKxXWBy/Q4GPwFHyiVnVrkbCHAnoA1f/NaeAxlIV0+glmt5RjtSMqQbZGNcYBVYDPOAe+G 92CxzGdLfV+jG/Olsg8W0sePH8UbIjvgQYRcyLQ++BDXQxbGYoJFTddwDpmSBbxc2ZbMatGw0oEz pOhjhqGuYOb07ZG9aXQVYIPIHXrsBDa52+RbAe0EQoIs5Uzo7hFsKQkrMM2zv8znra4ulfUxw9fq 9Z13IKUNciepC3bgTXRSYbBXWIgE7d1O9xOPQAxa+Xxu7m6dZA2Ngch9TpwTzYatf61+qyOZGz4n 8LkwgEzpJ7Y8JSmzlV7qJcldJ3M0c11WGO1SC4XUS1bZrCkw8D5MAxTjyGbJWveAbK7WaggvpPRl KL5UcLOUfD5yHVqvnFvPcqGsmveDBCvogNKYhs624Fj/DKwf7El9lUwceekwQkRGSBBmw5C8NIG2 7FRlVdJDMMYQBExU5/8XGZlAa1Bwe2HB6+UHLGp+sgjwh2pZrW86U4/jkR3TYu801b1hXhBuy82H T+q2vXv/3sabpa3uh5bMXTkDxlTIC1aJK/Y4enymQsAvmqKLvs30oLLgMSpI2cnz3B6Gj3bQ6Qls ndDlu7uzJdQCdJoOD62JDlfJT+Qz6gMdoBJb3qo6FUy6k3suSyIwTB+H3m1nY5vrR+3Km60DzNEI P3//Vgv1/u7OOof7slAXPkejwEymGOHh15jQdiVsD9cc2yTSh4qznR0U65LxLaEm2mra6/NTh9cx 6I3o3WZtaRzZyev3VmrWrbTXtHanaT0wrHRjjTeHtps73z3KbbBCSqe9TtcG9w+6X+k8sbfv3qnk xWyhXqnb4ObBdklupTy2abLUPTGveEDgrEaxzfKN3WFIu5irhIdDRxCV1lUbcB7Cb6ZSl4Bz/P6N 8C70suSMVCjZbrFxFJWdU+/QdAIWbpTMhdhZxDdaNn0YMUOjrJHNC/flSgGlh4pNd6nVm85kl0yU zaeM4cZ8aUkUWbLJrN3rKzujoxixiXhVimazbeliY1kN1dWSrTGpTRNRVdj8uL6gp1+ulN0APZSt 1EEWbCBBFYSgRakYMu+I8bF/R3d4CceLD1h82OyWBKzATCZLAHcJllgBOwn6QnR0eBDIlEbrmbS0 2q2GaAv8PTIv0CTU7j8+dHrwjPesnW26RjkgM7IIlltboS5Al4gdHcAc4mW/LxkZMDHwL43XdLvK BDV7xkA0GuxR5NQU6nXbhz/meUYELVrxURXt+LqCFtcZpJsDGx3gmYAMCA0wr1ESGuRkC5AsEwfK 898w+VlYlJ1hcHdOOVyMhbXQTeX8eI12r2vfNv7GiR6eHMh6HZ4XRh7s/K04snev31i1QA4ZKRsT CI+NGBSMTkuzgQQ/OHGy6qoxkeDsuSjL0iyVzhXXo2ZDBJ/WW3ShfZ9cyNCWQCbxwl5fAY2NIDjr qMPmgWoO3k/a/cWKcD7oAXxxv6AUAKRT9harsTp43ItgK8bf8fnRMeT1CXznX723UrGkawarAj+E c8Z5kNvgNs71Uz5qrpSy14/1SBVjvbHLj5/kpDSbz4WlkXEdoUpbq9lNfGUHJ8cqh3NzMtVxuWil Mln21qLlRmC8lIxeVjL1eQYsHlRoDQQsFjClWaOzsQdE7tLUZpO/+MqpNc7wcqPhAOQss9PXr575 P2AXYDI8wJIiQeEAhnIhUlbGgu4nG5WAmEtwFGj5lyrWbbat1O4JZ6H8lAlnsWAH/f6z2Slf4BlB PI5Fgh0ZksGSV8lSlSGwoMFqGIVpH+5rmBnKBQuaBgCBlIUDTYCMxo1xbBRcgpkCmUaZwd2nkTpu XL9UKnyXTuezWqokoaNKdopEc4XB7q1rYAB6k10yjrLZbTXWRKC7v7qxtLATS3u1WAtLQj/q9M0r Z/VOABsPNZYSAXJ3WvZlr2O/rLrSU9pd0BOGTwoMvBfnBTZEQCaIk7UJt6uWha2RdfC3BDjKZonl 7fwMn2SvmyqjGSTnHJmAkA7Z4FHUA/5GtmiojNZqzx1fcaJKbjQJEJxnCOFAcEB+n8yc9+E+8T1K WwadeZZ0zoVYm1Wl5QQReX2yZG18u9y+/5ffSTWEzBwsUFjZaGKzZkv8MTI1smyJOpaLViy4YGdR SZZ10UrhSsFRAetnUesZ23pBR/Hz8CREA9xlBkHbiXT/CX+8fC1Vzn1a8uWqFqoMPdFHyjI7Pj/T axCk2FEL263te185Oo4ylWg1nzt4QQcpdI1apbJd/vDB7j9d+dQdjKhhb754L1rEduEMEcgKAOb5 WZhFYyEcnZ04jMfzbVh4jO2gzwX1AECYcoyMKZhxcm5Pk4HKLgwUwHk6va6b+AdDQjETUH0yth3M 7PXGkpILlLj8CMerVrXol1d3tlo7z0JkmHueXoBl1XTwYDWknCdTicvBK9oMp/Zwf29xraKFDdmR zICha5FibSeMB3zpEPZ5uy3pGJU9yNX40qxaq1grz1T2qN2PymuayO2HTh3McmY20Q1jti50QeVt WK/rs+JzlGVbxXHryHTw86v1+lboRTap1mxwfSvlDnAtApNIqrjsQJJFtaJR17PAz5RlNeoONPeB gWYFihAa2E5SN4SdpM5jkgbNz8xdwbigOdABLDaYX3QdQ3kGANAz4B1FmjtktIr3vfvTTza8uZfy 7OkXb4V56R7mblC/+/OA9O9A979iWP8dHj/vmATCZvCO04M9mVq73hTBkQOS4MqXTWQ7jGpUGzXr V0rP5ExeJ/Ch9gkE0CcyN4wc/Ot4QHmtm9t7DbxSZkqpEt2trgP8wxE8EoPaJRkJrHuxun0nL7wm gTNfu/cJ16FhaDphXqIkGDbwehBG6cqxwNcMfe8chlVdL2072NrT5EE4G4Eh6IwTnFiABF+wuJ7t NCYSXJN5XX7n6uLCDhsdy+dTGX1iYbX1VlyMxpweHduSriLXzufA+e31dc0sfGmCeWxG5SKYD9pi 3n8xcJ3YEPg8ggosFAgUWQHfxxNna4/GlYa9EVoM+ltZqiyRDLF0cakMCDyMTiXZmO4XVmVQHaA0 CMB2A9/QJwhe8KJUeiP0t82sqDLTgeP8XOW8H/RuHzb1t2R8bFh6LnYOkK/y3FHSbjPH7m+1hFv2 rCRNfT4/CRRKXaMucF6jVU8Tu5kuRL496O9Z9+QMrrtlu63tqg3Lp46Q/LkcLz7DkqidTKQcgVHO J1FBpeHhccG+/+GPwh5wxMHJWDulQM6KvX3/7lmpIBiJCleKYyfZu1w6Zx1KEy8ZE3TBIWay2MBA +D5BRBnLZq0H+vb6WhSCg+6+FhjBM1iV8/cEJDIuWZdDC8hRN61pV0U6hYVJaZXOV7aOZ3K0oWzg +kLGRsnBubLIee+H0ZMkYwKuh3X81eXlszYXWUUgP2LlRXDtvX3lLOjrVZutHLueAd8MF+h1YtfD K9tVnbX70d6+DWcrUT8ofbnOWqMpVU5K7+BuLHzQB6mn0UiBSMHXK7qq6waxdeYWoxRMnx4V3KQL RjCbL+zu6tqyLFEWM8t39uOPPwq8J6DwJWY72SQGFR8/6bW4F5RkjFtJFqYQCUvk86G8Fy2DbLYU qwzm/eRF6TXDKOMlR0N22O08M/vxSCR49bxmFtkogW7v9PjZnMTNnTpdLkkpM87UqNt0s1J3Fp9H FCkIWDRICLCU0Aw+cy9Hj082fhpqqkLPmr9XDD8DsIvc/MKBrBcfsCRRkmxUEhIYJEKHJ994ZHHJ lSkapcH6HSE+rzNEW5kH66fvf9CCJgDwezx8gPbPWU+9YrskFTOZok3qkqu1zdZO55sSh9m54ObM zi9cJDexn8UfMjcuElQq+T3mDwlY/W7XVizY5VKLnf9mvOP28soWk6kC1LLXk5aWOlQ1OlhFG6AL tV7Z/vGR2PDKCmbOqivonLPjo7ukmT6yEsiXZJC2U5AGD8pQlGhUtavLIJaZN8qr7c5260SYDeMt dOeQahlf3gnTIuvAJebV6St7QApnuVYQhLMWXJiFGfnhYIJakCpmfpHXIis8PD6yN1++t6u7W2dx FRftZhfZ7P5RrtGU8hqKZhrgMdW9Q3UV2gbuR6vJQgFYyhKVirXSVOUxpS+Uhrv8TqU5LtRkY+WV gwQom5m/fGQ8arkUbsY5A8RT0gZ8jM5nHzMRsr7MZVOMbLXXKymlnr597fBBMj6MOep1XeuP06me pd06FZ4Kh0vlfVa3nM9qvbLZamGFTsN6tb66sbM8sU8Pt884p0D/cs09hwX8Q142afSzCFgBRKbN q24b4zHMtg0GtkV/m2Fki6zSbGuXjWhBz+cO6K5U7D//6lfaYXnoUY+UcwyDwD5gdU4PXUeKhxUV ULCgvVhdQn5OyfLhx58kOUNWx4IHM6EES5Zrq9QbOk9lVl5aWKTE0DWEzexfm+BV3j8Q1tap1EV0 /dPvvrNSvyCcCot4MLDgbIPqpvTNMc5oNBSAqrT06TB5Fc7K+Rv79OmTaAeUK+iKkxnIY69W0/jL 091EXSwwGkD/br0pQiZcqlcnp/a4nNmY8Z3xRK9Fed1vNXQd//Wf/vnZz48gAeObQBy6maHEVGlV 34rjxv0lSwOjIhC8Q+XVZ1fcR4K7tVp2fHRk6TaxVNmZM22lNCRg0W17+/69racOGxQ3rlZTwFbG nedOv55r3azt7nHw3GgAcKec1CRCSqg2YXBkgHR+44XrOGqsyQ9Wkz09DB5036SMVnCmH/dPj464 KqyqLoUJiJ8EL+4HWFUeu7lA3kNKFyhGwDEDo/z7b9WsAH/M/Twhmwqk3GxQsO3EaWbtRGF42cHq swhYpNpYfBOddqtED0NWcSoGTxc3ttfrKjN59c3XdnF7LeAzLZC6t2y0Wllvt7GdxZYUc4vrPChM 8u9sk6z00DW3bliWwFhUexshwJXA+NBF2y4pUTLLy2V1/cCDUOrcgs/QKueBo4SaTu0QkJ1g0uva 7f2d7Xd72vEpDyRZTCaSpVbea9vD/ZW6jbtSbKVu07bVorUO9+QCJGv3wdD2X5/Z2f6+FoRtVlZq N3T9dBjhoJVqNWsueo6wOp5ZHRwYPfbcjTXt5mv+wwqTpY0eBtY8NbsZr+3T9aWdv32n8Zyv3rzT QvrT778TS74IbWHfnbcoEO22CzKLudO/zx0eR0eTTitZFcGUTEYNBy88CP+MoHB3eS0gn8x2U3Pk ULz7iquuxZvUilmmQARethmNtdibjbYVdgXdG0ijGwkEVm306F4HddVqZDa8e7BiralsEXkYAqJc lAj4zP9FTrqHeU2yKrnfrNZ22O1b1WIrZM5UhOuko8zPobhQ2tEQoJyb3N8rm87SrX384x9VFtJx nSbutbh2giZD63/7t3+rZ4iMlM1qXCnZ0dmpmhp5xL82WzIAACAASURBVARGyZLVwspZZCfVthXK LuNrxmUszi2PmG8saGGXcrzs7EUdLz9gAVrHDMQ6PCfME1LG1CLIk6bdmEV1uHVdm1V/ZdnKDSez ZwVMhV0c6WA6QPLiSzOb8iDlubIzHnB+PlwuJRXzkOd2d3kpxVAGrsloCBwEN6l1thDLW8vggLY2 g9B7aFPVax5kzgTIBsVJXlNyzGRpYBp3A51/KHUrSMr4ksDhQ0Or7XV1boHJTtAIbtGSk4GfBKhM TcHipqMGJhObsrX2waGynmL5UdkHgWQxdjwkccM8JgNmI7wO55uTE2USBDEY/Lw2wDcBiPJL4yc+ kwzd0GB0AQ4DNykYeizy1GbZRv9WsTwrN63WdwYTleXMOlZS9kv5C+5IKSgt+Nhk1lquVjU3Cvcb 3Il7G8puuUWjLGooILiGDOcK1w2iQJbh0uN8EOmucr2UhjwHiDuCA/ZQI6U0xPii33eKEd6QhOv7 859/UOCZM6bV6arJo/k/dPCxZNs4zfan6dgWq5XuMSoUmslkrtV2CmZkaVtywyrGKi6DC+OFn9Px 4gPW8yEdbCfHEYJWOafUKIk/RUYDmCkSKeWalzqp1t2YCnjJurgQYTEYsnIcvn+r16WM0fgK8rrg Vyw88BK6V1kmvSlE9OLxSJ0ggh2LYJEvFMRYzBLf48FUuVQRYx7ejqR3q1Ub3Nyp5ARvG9ze2Xax UqClo6Tg6oOq/BNzxx27+PRJfyv2OgHbM/LD4CyjQwDt7NLgNszKIVfTKBZkNU8ZRXBkdyeokoWs 566jx31Bnubdu3cO21sfCMPhXhJsH+/vrNpquTET5g3zrV6fLxYbrzFDb4qRFD8nR9BQc4KGxnhs +71XwgH5G86PuUSIp7onzYb1Sq70pHyio8kMH9nQMllbnXlJOsORH1RuNcWPY/ia5gWBH3XRStPh hzmWaADZaaYNTdjVdue8ABFchKaA9hmUj8lUr0EGrwmKZKOxp3D+ytCqdUnlQHNwo1J1AeU8Q8IQ tx2bP011b3EPp3vI34rEvIFWk6rclPsSG0ruNiTZ0hGCS7HtMvd8OFUSe/HHiw9YKuE0L+qsliTV 8rOZMwIEWcOHi0/KEISpFIoae0HV8/DNqRQUlInkjn4AozpM6QPChpIQgwgAaQ0wM0Ihvz6XSZBR ESRZdDi3EASk2w33hkHbetPavgSShVSvZq/evJYaAq/ZrNfF56o0Yp0bonLFrWkBaxwjzRw4j3qE 9wqEoc71QuiUjLLnGBVSZ8EFbsWil4xKoSjgnS7YPFkbyWafBVPpyHHYKs7xJlvSgs+t46297m58 N9JLtEymU/GICFpIUO912p6oubJdHEkfjLGXIJrSrjUdFoguPXpQuGgXHKdMQXG7s8ousloU22o0 sbuZa1wo+xqN7CJ5cm7IkH2ZF0WSOUsUtAgACiDrlbIb0RTqdbu/xfzLqWNAx6A8CzI3BH3KdPh5 gOi7jLnHgQQaZbOG5nzZOTBrjArKSqOmMr3vy0ZljpHTHXt1dq6OJqJ70EbA0rgvBDvORdIz+31J RHOPZd8mk91c2SFUfpetVTE81OcMZEAQZdyq7iWx/8PDK4++pOPFB6yfH8HJBsZ44GMxdsMDp04L LfDJVCB8nCGpsrXLnz5aOYr1cBHAlKWVHOAuqsDDgwaeSd/ZPVmcMKe1SOFzpYlNlnNhWhqfAWMA 8F0ubTWdCzDWTq6RHvdxkPHAwyIYihGduuDq3FK8gzHcKYBZBmcbDSfMB6FwtbZSrSAFitfv3mrR qTW+cIoOBE3ea/74aE/zgTIj2VhVqiqp5BSzTVV2iHdlW0mxUJpA9jSvLFrner0CKwuZc9DQ8nym Ba15ykZDGaIs5reZFirlT3B0dlpcK6k4BENSyi/uqegYy6XVVonNd2jGP2loPfDcZAxRKtn5uzfq EFKSlgYDqXCEjYXGB80A2OY0AsLClv8hRNN2ywrbVO/LZ65heNxz+F1vPV/YuUwLWodcbghoyAZV qpaqRCyIq6VSzncikfMhECHvU63UnfnuZuaGt/1GGcwl4IHtMU+KlHYVkxSnqKpGSxHCa2zpaqPP J0q3ylKLpYpt40jPYe511cLxrD76Qo8XH7DCeELAazRnJ2AKbd+yBnj7LE6vH04Q2UzmlqwTZTJR paBAhZLkzf2dXi2UYRzMfFG6iN3MQDPUAeb2vG9cXHTvDZiPnhPBTcO84EKk9bGjILAo0BV3HR+H k4Rsi3KC7C04VJOloFklbe9KRUEtWjvCJ+MmUdstBgxSVYIsFjZiuNtnU1Ji8CJ0T7f3DoM7PNDo Sb3aUGkMxgKhFrIGGRsLuYj0Dlr23rSU6+U1eV8GzOERQbiE20Twl9POymFw0jjfrB0vDkmUyN2f 4GAcRAmlROAt3iVYePtk0/TRZkNnckHA4oi7W2sfHipoEmS33jKee9poNK28Wgn07tWaVouK1q7W LUWBFDNc5HQMeosTQKTbGjwGhU8liTYuNo4uoLa3cRO/yksQgesRwIoV9zmF8S1ZgPlRKzrR3b2O NhO6zrK9z7f6/Cj1AN+3zR3iDWLAVzNneAIGhtTycJuLrAz5F/WLFX6UpdjO375RZo1reclvZP+h yuhfM6z//g4RPgtuAQbwmiPscievz+z4/FQ7Ilwi5uBuh0M51zAMXW7X9PAK3fYzg+LfIA3S74l6 IDPT5VK4Fw8V/x9Iqr1eV4tYcslgE34UBkt3umHbXapOFFgJwYZACl7CCI6bund6WAwvH58cO9In rfWK6xiy6IJZq5RBveIo36OsaMRlXRuLpzidODY92E6SimJRodSCpb9cW9oAD6mLTsAiHdzfKzDC Kid4w2SXdAvqnK2mpGMI3k/DoT0Mn6wxuNe10kwA/OZeQ4MI1vallaMlaAQFbImmhfdLjP1w8M7+ YmslDh0CeDQmop31jw7s4PT4OaNA9I4gr3KK5iZl+Dp5HiXiGpCeEddrNFUgpVSlPAdDA+SmOzhO HcvcSU67mUyoEeBbpWJVw9l0/rivyP1Q1nG/ejRRvApssBILnUQ+G9434IIl1GFxq8YiDDu0ek1f 6Xan+yEbtqpn/CeZCKIA+7ze9dWVnosZTt0w8ytVzV9CqWCo+v+1JHyBx4vPsJ4P3z2TwUPiZIqR 88hmNWtNJnrAe62OFjJZEHiOXE8osZAwPj6212/ePKt/kl3AucHphkWnMQ26hB44ZtFThnV7bS2S jl9cBClKlKfSvUZYxtOZnR4eCQy+vL7S+7GDY0NFiUfJAI/oLsvs7NX5c1CyPLP5cG3Hewc6J3np eRll58Po9LIqBYcthXGVwOSnjFLQWDuVAYIFXUFm7ET8RMIE/IYMLNuKZS3D1d1OXC2AaspEeQt2 u9YpoOTa0BfZqswmVkvrY1fmS0GmAsKgt0B4uq+5A5rBsCQm6PHGMFs5XriARkmO2B0UAD4/ysik YBqQJpvjc/v0w09ivwNq062lJOQ+glnW202B9b/+x38QrYHSUXpT04WlcaLX4DMAuIcPRRDhWtPx XAPvfA5gnDdX19pgGqWKqA0Ef4IbZe7ZmbOVF7l3iwBg1ardpgIpM51kysWkpJJZLtacV6ttlV3N Wru2sFEaKsls6UQai5l98eatNjdkcnKUNQpFkX3beAcA1Hul2M/l+Cys6gW6e+1sMoz9Rt0mhdjW 47ll87ndf7qwVqNhk+W9JG2TPLVNEfODmh3UW+qaUfrAhYl3W3WbKIkIgQyj8gWwCqjKnN4gfrC7 6xtlbI/IhuAwsyvY/HEiKREW+fHJmRZ0tVK0KTNzu9QO371ywXS9tt/++Y/SeccWneBDpnP7NHA7 OaRBOEfzpS1KMykPEFR4mGE7o6pKlsb4SeegZ8vKzv6nb9/r58jS/N//xz9ZMTfJoCy3GxtOh/bu F5h3FqUrBc1jMp9YdQpOUzGbraxeLFu2W9u2XNQQLppWYCqreGf9SsVljbOZDcdTZQMSLTw4tNnc Sb9obq/TUbZHhxXNJ/k9kp3Ml6KRkFEQtAgUAadr5rHcka1SVtfy5NW5Xg8Q/OKDwxcJ/BCDeU+Y 5wDikFwpl7dTLLdMONAoTTXhwGKvIY+MPIvXX5fzN+M8Xj6o2eiIgV4oFWxXjiXZTEb9n37za12D mhl5Ym0chFYbO3/7StmujGLzTOfHF58NhOPB00jvU4zLdvnhUp9Fc1u0TW8jbI9SnbIVeZ4fHv+o 5gnB/MP1pazU4O4lwAutmk2SlVULOyliQCZOFhuLmt5xXGJ+Dqj/bwwqXsDx4gMWICXAJfwgdcMs FQDMAyo9rGLJXp2dCUi9urhUZnHOTgktYZPY4cGBBmLpnD1ORjZnVyNLW2+edbN4DcT/2NF5EBnO DXbtMj4gU9ttRQmASFivNa1+0LNm8cAKN7fOgKDXU2ZESRD7wdnT/UPJnzBXluTwmWJlDgQnsh+C CFhaGVzKl1F8weBm14d/JHeZONa4C0qqOL5IazzNZBxarFdVItEJJVuALxW6aXTRpjC+1xNbTV3L vwbZ1MvqLFcrGZqqsxcXba/XU5lJNsaCFgeOchdAu1xROc17QedAIVVk2eXmuREQSptnHX3A9RZq m7FMRdXQ8CoYMvLA7r7X1WYSBsdfv37tVDtRxajXbTkY2dXNtcotAPqDsxNhiZRX/M0WlVEMSJKN siAyN66N0pZMauRBfo3/rFxARZOfrBDs8o9//KOklhv9jmYtZY5bLGozkMU8kjm9rj4XnhfuFdk3 5T9NhNetL20xHNuulVm2ty8MFOVZSnheY98rWnBtNUpLFF79LCK4IthdAV7XX2kNL+Oghf7cQ/cd ohFyIpOJcyvJnIPKGmY3LjLPjPVEbjLb40MrlspWr5WEQ/HgqEMI9pLQ9q+6zqPMKzB/cMHx+OxU vKu0jmyy60oSSOi4gT+h2MAuDm+LrhgLmlKMOcFFbs7s4PZBr7vAIozzKkNKzAQc81WLSxrXQMSP uUiCAyTQMjpJpVjvwYgLi2AcP5llubISFivZD/N+gNZq54dMY+tnKgm2lYqV0swxz3GDZiCYco/F jdNNlujaCCLcA16T7qYoB74rSYeSrumyuHAdtUpV2dS6tBIuRhAgWD53baNIJaYCLdkWi1EqEclf xO8KkYIReA4BjXIM4B1VB75a640CJx3Qcbtt812qcZbXX74XAK7SEylowPNKSSA4OFXwO0TDn2Aa ytfQsOHnrXpDI1bcG8ECq5Wde0np9WitIMbPg0TQZDrWc8f5UuaRlTMDyj1h8LszeLLRYKB7fBuX VPLzmpBQGagPOmDADU14efDlqBjIqEsVy+Zwxfy9+/fyyC/wePEZVjg03IvfnFeLFCAaRXpAYK6z sGrVqoIGjHKkcNmpGwd9OZnIZLXV0GKCKgAbGtYyAYfgRZmjbCt2fCaJ+HU7cljZTKc2g4gKMI/m d61uo8GTFkBwBpYKQ5YrEEkv/vrGHq5u1Eli8JmsRt0pdLqEgzmCaKfXsUa9oQdYzjSbrfhOrVbX tcoXa7u5uLSHC4e93Fxeqfv1Fj0u2O/ILHvmd5plMq0gw0DWhkCSMM6EEehypdY+gYWAp1GkckmL LzD/wWjI5OT+7OV3OrWGMzulA+jxPe658CGyA4D5vsOHwkB00NoX9kbZhnejsitn/kDZV285sJls CfCczprOqeDstSTnk2xkKrGrFC0tRJLFRqiP9yPz4fUAxcGzCHBlsiCx7YPPoSMZE/iQpAmvG/hs AdvUjKhXrw0SRsGbkHvJs0KnOhirhsFpdYGHY2FTBOM/jccu4B0e2vnJqWAGsDSytpBVJUmiQMln zJC14VdA1q1JDnvxx4sPWAw3UxJqp0J9slazerJRSZSl+ALOnPkCIDvZA5rfjK94YmGTTKjdVquf RShVya0DhUMbnqyn5MscWdqvRjZ7mNnDYGDRKpFukzz2GNKtVmxdKNoNBr+QBEkAPQFVnn9kUH5U JYgBIr8CKBy6bQjlVeKSFs83e/uaWdysVvaIGSut72LspIDLFVuNpvZ49yDGNQA9mdyCzIWbw0Dt cuW0wqNIr01JBKOdMRTNLa4SZVCj4dCa1rV9Sl9KSnhCOLtkO4HLSey8BaeQQn25zRECjz4Lv2kI bIe97aVb+AqteVEK5n7mME2tjMQLxNjFXE2M2aSi8hNyKZ/BPsauXp+MzIN7ghihzHCxNaPpsedU XSmtCACnJ6fPml581i4TmjruXKfjbMO8BE5x5QKRXKh5PrBGGw713k7Qz5V+k8nQMfF9w4HAQ+AG xIfPh7W9WP3Llb5owHSxgotg7xfVwVzPZwLjwd5Qh83nc8EAwWB3S2CjVF7kXutrZYdQR/y9+xyO Fx+w9EHCIPe7Ig9ePXXOzzxQe6eHwlDYBVGzvIcIussla8L3adGzI1NyII/CTihW9Hyh0gasi+AH LqOU3XN22Fl5yMpJ/gyAgjPVanUrosK52lhcQd7Bie4BtuIiQzlCqbZ/eqyFLCneYiwVAjIa2uKS QCbgJqmMLcpbPBRTK6S51egKEpjjkhsLWSfKFrabVNlbE6kcXJZ3W8mn/PTjj444iTKrz3ACD0pk 2TkmEIn0xmHFS6+80XJl4CqR4B5ltByMfaCSbpRmHFPdM9mAyexl53TnvfY8/4YgGbS/AkVDfDnm 8ljAGKEie+Pv+xy9rULkjF0B9OnCAd57iWcwIs4F4cRq32m8S/Ya7l2+ExOf13M67RXdJ7IqsrSN /6LZ8TRx7jwKTuZKZz4jphSU8c1maj5w7vfjJ1mGofTgwHVHIkVhItk4Zrv+jiyYDarT0jMGRSIC 8yyX7KT6xnH4to4cLL+BXtfqdWf/lrBgN8yzZrqWhGv3dJB/rzKq/3+BMezFByzt9K6ofxbhA/id N6Y2jh5t7/hQQC0kwNFkIjyo3Wpat9d3YOxq5R5spIdnM1ulc2Ev8HsgKQYAmODCoZKGeTxY4R4z E9hKgFltnrO5Qq1ivYMDsd+D+invw5wfC6FUim3/+FhjMdJYgtcEZaHV0A4NsRAy66fvf5RkC0EU OgbjHOA6891QQWx6/yDQm4wDDhi0A4n1YYAAg92XMJSE0BWgDRxhUNFw50+5BHkR0iWZFcEAoiVi hwTLgHdxjhqyRqECrXaf0TKUzM8I6NKxZ4awXFRJtkvdGBPZSJCZ4e8oed6+dTOacL0orZVRia7g Rqxk1gpbfBcpA1uApY3Gz2C0Sq50a8lsIfpKvDOblydWq1bsEfa714+HT6VsCm20SqbAJpyrWlbw qPnAxvsFpnqxUdT/E7TUzUzcc8B95R48ezYyBsaw+HLhh+U9/kRA9wao21LBuieHCnS8N5/R5OHx 2bpe9vR0OX3gzDZOsJBJBtFZNM7lJHD0eb1w8P3FB6wwqvDMhC4Vbb+1L/ynkFCXFTSMzEMP14bF Cy5F2SG97iW40EavAVbz+PCgFB9jAUBUyj2whqClLuPTnZvUJzjOClvr1JvKboYPAznRjLGrqhYl jCfqg3epEZMdg1fkcglsiLJVyzpHjWLg1IPOFDpVfnB5OniyRTTSObCQKXvkSOPNE5ZTZ35Ky5wS kZk6JGAgSK7S1H71q189m2pwELAIjrjNkDlQkhweHVmrUHaMbfC6+zvRNiA4ki1wrvyN/hbNea8F FRoULGqZrxbAvcpqOiAsKKC921fZS9AIQDUdMil0gs2UYmFEaatj4wc3qA2GGBoZrZrLMBY2ddLK hYK1em072NtX5vq0dNpjKILCN1Og9ORXSTKv1o7+AP8Jl/BiUZkPrkXiYi2ckQdBMJT956dn2lSe y1ZfrgfjENEyfIbd77ZtHc+flUK2cWbJPFXGWhqPrBa17c27dzpXnoFCGgtk39GoIIsv7US2ZfOZ EJCzrR2eHItYvL93aKvJ0zP2x/EfMt5f0PHiAxY7q/715gY3H69suFraZLO0M3bxqGD3TxNlWLsC qgAdPdhJnFur3bdGvJUAHxkGX51a3S6ZfUOVAJcc21m7Dht+bL//7rfOTizaaYGwA2bThT1R4vX3 bANhEvIk4zfLlc3uHsRzyvLMsvXS2mWnVknpxcPOV6fsMrdkurLFduaGmGtV7cY8uMgcg4VV9pxL j7qWq7U0wOnsTZ4eldHsvzlTl4ySMrm7VWte6qsPI/v2N7+x6cYpD7T399ywd1Sw3/3rbwXUQ7Rs /OJrBSsJH8aRXkuZgu30Wvw35Wv3aN9qm5ZVPB2glDsCK8FOmRa+fJWKro332VTXtgMf3Ka6bwQ6 zov3IdNizpONpPmqaf+SrOzh5kJBor9NVarv6mWRYCv7HTvBxzFNJelc6XRsTgbWbli+LNh4NNbm wya0f3Ys7hyBMynE9offf6fMRU0IJGdWzhaOsjmbOayqXncqEVzjzZObdaSzGGHgsVnZt7/4xmaz iS3TlbLtoDA7+X4sldWlJbbIlnZ+cmLbp8h+/PP3tppObO/o2LqlmjXikjLzqJLbJN86RY1SbOuL j/Z//fYPttdGhWJpjV7Pvv32bxhotMF2Y5h/WZTbYpdZKypZaRvZNkssqjAf+fIW+Eu7nv/4+Fld T5u/HtWtUK/YXr9vMVwmgM3EqVvS4aOE0+wceAwmo+AQu6WkjoOXIbgSi46FBdCq0nOLrpLLVArF 3ApZLlxJO+PajW6IT+Mddgg8+Tq19WJB7WoUmaulK3c40E6/ubl+ztZkf8VOz/ntnB17ba+kICCc jvZ7VFCwomwDR4N8ChhM9kPg4fce7u7s6f5B3VBIhywsiIlwlZayVHcO1mA708X0mRNFIJE4Hqqk kcN0CMqhHA6uRKF04khTp9XFcDD3rMYYkO808n1NFmCF5rOwwKcK3n2S1RkM7HJ9qQD2/v17deZU LvrMMNxXvpJg09Vyo0EE4fvVyo3p+JKdwFWeLazlGwNqxsCKbzZV0lrqrNpqMNirDWXAZJs0GuQL GUq3ycTaDFF7TXz5KyJFhNxVllsXVdiHJ7u4undD9WlqPz6OlQmWd5HbBNcbOV5DV+Cz4bMIHWOy +DKSNJHTot96IxIwDnU14QHCxfLmqf+tjwHfe1nk0c8qYIWUnXKwAQGvWHoGdNeMmaBDBchbLSvj 2mxW1mrWbNfuiBkOBsWAMHiWvP3WK3t8elI6zwMuNQjwLWEUkW3S3Eb3A/GsKJnAtXAIjgBKY2d/ hQPOZrYwlhPSLSysYOlOkGJcJxi9BlyI9woONnC7eE1AW2VegN+FSF0+lQpkLFmqjiWLl+/dfryU 3jiLaJ1kCgQAxgw3AwoPWES3dwLS9w73n5UpwhgOIyicB9+DxY1MjRoB29zuwbY8wTLI3tB55TxL uRPQY9EzdMyiV+eOa/Z+gcEXEnyJ4AODnc2DBQouFAJmUMOQ4B5ETR/kAuYoGRjOwXYqayGtwosj IMFIZ6CYcRcy0jAOFcoq+eTSICHjKW9dYGRUyZvaHu4fuFnLwcDGt3fKjHCfXk3d5wYYPhk82X6v b8v7J7v+9El6aXudju6X5HTabWctxudxc6PvS5RvtxOFAjMLAtL/09657aZxRWF4AQMDA8PRduPi JFWlKqpU9f0fIS8QqTdJo7YpiQ+xsWEY8DBU37/2jn3RF4iTkZAVB3OYmb32OvyHrH9ivXzogpOD vk0mYPcSa1Z7a8GH3VXavDRQ4JC4++MGvD2p45sIWNJrAFIApWW7cydfekNyzPWShR7Glz4EvY3K m6p3V5faGTnof9DwZLcjWImPiMwKU0BuEsrKCLREOoZp08dzwQRAmwuFTpMeE9Osq5IGF194eZpu IVNcV5ao0d4W945AwKGxdlg0TMpEbt7vJZ9LI5vXhOpzC1RizXtsVM6R1bDXCrT66ZMCMdkVfLRp lls5aIiuIrDjMFeQIAC9f/vOXp49F9mYAMlCJEBFZYIIUYh2Vixk/k1wjnrxkjImkIXsTwEBsiAK C4zi9/svqqPi4EmNwINSRO2TDYGNSyep3ovrgpSMsE5o0KMuETajuCHxemQqHIIFBLwXmZd6WMul 3Vxc6fr++vtvzv8MU1eC17osrLv2TQlLexlvhNdh0kcAVSBeQ61KNelDn5/7AtgIvy+ul9YcuHQP B8EP3av1rlQJm42G6iVGSIca+7UPP8DZkfERzNlBJ8cnIuLnWV8ejduysN3i3poMDzaljfPh/9Jw yLaf2vFNBCwtFCHY3R4KIGWdJtZaLOTJR3kSKReUTgcCRwAj/vXuTwc3Hh9pWgWS+uPFubuzPJJQ JkhJXUHijw925nI4gVvW6/kEqkZ1z4ONxtuziUbvERTaLwr1dli02FZ1a38uC4SSRAe4o8IDJiUS AYuSArK0TBUAajLVS1NbLD6oXAGAygExmOa/nIwhe3c7kjfhPcl+pPZJA39TKgPi3EhOJwQEAT7v 7/U8QJgKJgEuwue5WH/S88lid4jNQSdhaHCo9fkjZUeyzuXW2mnq/oOPZJJx7yHrI/hxPtlgIq6L 1wYFriwukKkj4VySxxDXHxHcMVllmkow55rhGM3zOSdAPPBOvKKXGICtHrzcgKIFK0L+h9de4iIn A66MABYwZMW6EBWL3haGEiDSCTjAZgDNtqdDm09yfe7uMLdnWUfDElCeJ5NTK1elzYOjNJ8PBVe+ B9+Pe44p8eTo2DbdOwUmNg/cpiVpdKhtPhzb4Cewaa2QTWHWS+7+PWB9nQcXMTbeA/APtxd2N7os g05it0zDkpaNgCN03NcPsquayiw6NI4oxRCN63XVs2LB85DSgcrHrYIMi55dXNlY3ldZgI6WFA1m UwUwieQhJxLG1mrqAoMAPLjzaWEvlnkN5ySqp8Zkqz7IsUYmq7udvX792jl645GNj2c2QLKECePW TRyALzA1ZGxOGaaykrIs7YjUXTRMIEYyu83KJ22x7Iok5DhBjAjtOMHj/aVIAIcSt6DcOXQCbEI1 6qTaGCJOSD2wwL/U5K4T3LPBgIVAGDPeqLmuzy1HJgAAA6dJREFU74spbO+hZOP3kqixByE8QUIC 3EFejiGAbc6v7fZ2KV5lRSmdtCTJQv9PUzuUWulxBS0rQSIS/6meYWBHSNKawNz1/liU50EfS5LX TQbBe9dZQ2Km3LjKwy8vtBEqYAV/y/bbtwrGQFvyJNXr3Nw5aZxym2yYM06QHQ6O7Oj0ByuWmWU0 +Wuzz4t/ZcohFYvTMzvMnz9kU+F+p0RsJN8zrK/u+KJ3HeSLIwYGOZOaJnV1r10RUCNZBWBD+eQV bhqK/54lB0dFYwG1utXNxS4bMT9kCtyILHwa4FBYxtORPet2FSjKlitgEjgi1ohD/DRoL4yzKycq I+cCw18SKLiuUCIRqMSJpO+zUQl3cXUlStDz8UsFEAFi6VvJBboWz0+mBWp839s1C4KUGmG9EUoC ufUwhECGpu12VRFeMMmHUg9lAUXQa+xjRZG6CBKNTXZ+EnwItLEkE7WHpmDtCPY42if70oIP+vrq RUURuhDcoo49GwJAWvWwzBwsisR10L7nddUgD+8b3bAjbKFebXQe81Euuov7D24UoLN2oozm42Kh 66n+3yNzDhroJ/O5rjHvyybgAnuu4/XmzRubtdDI39t0MrMMmhRk7UbD5adhBQRMnoC/YMlWKxHk u42WVeuNzeZnynoX798L4Pvq1StNiSHaEwTZxIbjib57c3+wsnAe7H1RaAOjh8W5iXi6WBbHTeap HU++JJSCZzBoiIuB/gAAv3batct//nZKDdqkgBIhQAOWzHP9/Z67pt3SzXq+vNa0C04YQU7OywHf RTbDBCzdV9ZrHiQtks8m2tFbWVcEalDbsiVXOeSNXtvWVlzfWL8Z0Nzr0jb10pLR1E7HM7tteH8H kCqBEfwO2Z94g5SUyPS2nD9HmUDPRr2esrRW9mgqGZryk+lUHoMsmk6e2XQ6s7xYuz7T50vrkWlO xtL+YmEkPe+1cR6ZlvGIzXeyBsnCMO2rKgVZ/o+JmniEo5F1Mu+L6cFnIliBGg+W8qs/dgoaKD1w PgjoWwjbYTIZhetA1AMzICCox3XAoy/RoCJmfeqBhRZAVMvI2k7BkUEHw5Xdzj4svPF99qMLI0qu pu1TSTY2UXPIUBtmSd/xYXLUXrkwH+eCaTON893ljZyXuV9Oz86sGwwtyI4JymSZmhAyUFkXwuHB zeTvW3UlcT82G8o8lDnYDGEGsOG8mP5s213liqoHs00JLcuVJuibplxTDSWauncr7pVAg3qqhqr/ AfIWpDNtY38rAAAAAElFTkSuQmCC