20250821 11313100 1.0 FALSE CalculateField Engineering.DBO.Infrastructure_Lines ASSET_ID makeID(!LOCATION_ID!, !ID!) PYTHON3 "def makeID (Location_Id, Id_val): return str(Location_Id) + "CBL" + str(Id_val).zfill(4)" TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines LOCATION_ID 10 PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines MUN_LOCATION "CALEDONIA" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines ID SequentialNumber() PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines ASSET_ID makeID(!LOCATION_ID!, !ID!) PYTHON3 "def makeID (Location_Id, Id_val): return str(Location_Id) + "STL" + str(Id_val).zfill(4)" TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines ID SequentialNumber() PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines ASSET_ID makeID(!LOCATION_ID!, !ID!) PYTHON3 "def makeID (Location_Id, Id_val): return str(Location_Id) + "STL" + str(Id_val).zfill(4)" TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines MUN_LOCATION "CAYUGA" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines LOCATION_ID "20" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines ID SequentialNumber() PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines ASSET_ID makeID(!LOCATION_ID!, !ID!) PYTHON3 "def makeID (Location_Id, Id_val): return str(Location_Id) + "STL" + str(Id_val).zfill(4)" TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines ID SequentialNumber() PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines ASSET_ID makeID(!LOCATION_ID!, !ID!) PYTHON3 "def makeID (Location_Id, Id_val): return str(Location_Id) + "STL" + str(Id_val).zfill(4)" TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines ASSET_ID makeID(!LOCATION_ID!, !ID!) PYTHON3 "def makeID (Location_Id, Id_val): return str(Location_Id) + "SM" + str(Id_val).zfill(4)" TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines ASSET_ID makeID(!LOCATION_ID!, !ID!) PYTHON3 "def makeID (Location_Id, Id_val): return str(Location_Id) + "WM" + str(Id_val).zfill(4)" TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines MUN_LOCATION "CALEDONIA" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines MATERIAL "COPPER" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines MUN_LOCATION "JARVIS" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines MATERIAL "IPEX" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Engineering.DBO.Infrastructure_Lines MATERIAL "UNKNOWN" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CopyFeatures Engineering.DBO.Infrastructure_Lines C:\Users\ejarrell\AppData\Local\Temp\97\ArcGISProTemp11268\Untitled\SQLServer-arcgisdata-Engineering(arcGISPortal).sde\DBO.Infrastructure\DBO.Engineering_DBO_Infrastructure_Lines # # # # Rename C:\Users\ejarrell\AppData\Local\Temp\97\ArcGISProTemp11268\Untitled\SQLServer-arcgisdata-Engineering(arcGISPortal).sde\DBO.Infrastructure\DBO.Engineering_DBO_Infrastructure_Lines C:\Users\ejarrell\AppData\Local\Temp\97\ArcGISProTemp11268\Untitled\SQLServer-arcgisdata-Engineering(arcGISPortal).sde\DBO.Infrastructure\DBO.Infrastructure_Lines FeatureClass CalculateField Infrastructure_Lines DIAMETER 25 PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines DIAMETER 25 PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines MATERIAL "COPPER" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines COMMENTS "TYPE K" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines PROJECT "MCCLUNG SOUTH" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines STATUS "ACTIVE" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines STREET "LITTLE RIVER ROAD" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines INSTALLATION "2025-07-02" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines TYPE "WATER" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines LOCATION_ID "10" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines MUN_LOCATION "CALEDONIA" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines ON1CALL "WATER" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines ID SequentialNumber() PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines ASSET_ID ""10WM" + str(!ID!).zfill(4)" PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines DIAMETER 25 PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines MATERIAL "COPPER" PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines COMMENTS "TYPE K" PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines PROJECT "MCCLUNG SOUTH" PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines ASSET_ID ""10WM" + str(!ID!).zfill(4)" PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines STATUS "ACTIVE" PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines STREET "CREEK AVENUE" PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines INSTALLATION "2025-07-02" PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines TYPE "WATER" PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines LOCATION_ID "10" PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines MUN_LOCATION "CALEDONIA" PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines ON1CALL "WATER" PYTHON3 "# Calculates a sequential number # More calculator examples at esriurl.com/CalculatorExamples rec=0 def SequentialNumber(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec = pStart else: rec = rec + pInterval return rec" TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines ASSET_ID "WATER" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines ASSET_ID "'10WM' + str(!ID!).zfill(4)" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines DIAMETER "25" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines MATERIAL "COPPER" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines COMMENTS "TYPE K" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines PROJECT "MCCLUNG SOUTH" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines STATUS "ACTIVE" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines STREET "ELITE CRESCENT" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines INSTALLATION "2025-07-02" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines TYPE "WATER" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines LOCATION_ID "10" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines MUN_LOCATION "CALEDONIA" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines ON1CALL "WATER" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines STATUS "ACTIVE" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines STREET "ELITE CRESCENT" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines INSTALLATION "2025-07-05" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines TYPE "SANITARY" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines LOCATION_ID "10" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines MUN_LOCATION "CALEDONIA" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines ON1CALL "SANITARY" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines PROJECT "MCCLUNG" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines STATUS "ACTIVE" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines STREET "LITTLE RIVER ROAD " PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines INSTALLATION "2025-07-05" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines TYPE "SANITARY" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines LOCATION_ID "10" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines MUN_LOCATION "CALEDONIA" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines ON1CALL "SANITARY" PYTHON3 # TEXT NO_ENFORCE_DOMAINS UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'><FeatureDataset>DBO.Infrastructure</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e686d6c486271626a7647656a2f304c42697476454e5a70666368584c72733247677265522b32724e584d70553d2a00;ENCRYPTED_PASSWORD=00022e68594e505665754b533974504b2f7a6558546359647a3857475832575243304e504837664e5371364b36384d3d2a00;SERVER=arcgisdata;INSTANCE=sde:sqlserver:arcgisdata;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=arcgisdata;DATABASE=Engineering;USER=arcGISPortal;VERSION=dbo.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>DBO.Infrastructure_Lines</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><DeleteField><field_name>HISTORICAL_ID</field_name></DeleteField></workflow><workflow><AddField><field_name>HIST_ASSETID</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField Infrastructure_Lines ON1CALL "WWW" PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines ON1CALL 'WWW' PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Infrastructure_Lines ON1CALL "WWW" PYTHON3 # TEXT NO_ENFORCE_DOMAINS UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'><FeatureDataset>DBO.Infrastructure</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e686d6c486271626a7647656a2f304c42697476454e5a70666368584c72733247677265522b32724e584d70553d2a00;ENCRYPTED_PASSWORD=00022e68594e505665754b533974504b2f7a6558546359647a3857475832575243304e504837664e5371364b36384d3d2a00;SERVER=arcgisdata;INSTANCE=sde:sqlserver:arcgisdata;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=arcgisdata;DATABASE=Engineering;USER=arcGISPortal;VERSION=dbo.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>DBO.Infrastructure_Lines</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>REMOVED_DATE</field_name><field_type>DATEONLY</field_type><field_precision>0</field_precision><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'><FeatureDataset>DBO.Infrastructure</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e686d6c486271626a7647656a2f304c42697476454e5a70666368584c72733247677265522b32724e584d70553d2a00;ENCRYPTED_PASSWORD=00022e68594e505665754b533974504b2f7a6558546359647a3857475832575243304e504837664e5371364b36384d3d2a00;SERVER=arcgisdata;INSTANCE=sde:sqlserver:arcgisdata;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=arcgisdata;DATABASE=Engineering;USER=arcGISPortal;VERSION=dbo.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>DBO.Infrastructure_Lines</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>REMOVED_DATE</field_name><field_type>DATEONLY</field_type><field_precision>0</field_precision><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'><FeatureDataset>DBO.Infrastructure</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e686d6c486271626a7647656a2f304c42697476454e5a70666368584c72733247677265522b32724e584d70553d2a00;ENCRYPTED_PASSWORD=00022e68594e505665754b533974504b2f7a6558546359647a3857475832575243304e504837664e5371364b36384d3d2a00;SERVER=arcgisdata;INSTANCE=sde:sqlserver:arcgisdata;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=arcgisdata;DATABASE=Engineering;USER=arcGISPortal;VERSION=dbo.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>DBO.Infrastructure_Lines</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>REMOVED_DATE</field_name><field_type>DATE</field_type><field_precision>0</field_precision><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> ExportFeatures Infrastructure_Lines C:\Users\ejarrell\AppData\Local\Temp\ArcGISProTemp26696\Untitled\Default.gdb\WaterInfrastructureLines # NOT_USE_ALIAS "SUBTYPE "SUBTYPE" true true false 10 Text 0 0,First,#,Infrastructure_Lines,SUBTYPE,0,9;ID "ID" true true false 10 Text 0 0,First,#,Infrastructure_Lines,ID,0,9;ASSET_ID "ASSET_ID" true true false 10 Text 0 0,First,#,Infrastructure_Lines,ASSET_ID,0,9;ANGLE "ANGLE" true true false 8 Double 8 38,First,#,Infrastructure_Lines,ANGLE,-1,-1;DIAMETER "DIAMETER" true true false 8 Double 8 38,First,#,Infrastructure_Lines,DIAMETER,-1,-1;MATERIAL "MATERIAL" true true false 16 Text 0 0,First,#,Infrastructure_Lines,MATERIAL,0,15;COMMENTS "COMMENTS" true true false 50 Text 0 0,First,#,Infrastructure_Lines,COMMENTS,0,49;SEG_LENGTH "OLD_LENGTH" true true false 8 Double 8 38,First,#,Infrastructure_Lines,SEG_LENGTH,-1,-1;SLOPE "SLOPE" true true false 8 Double 8 38,First,#,Infrastructure_Lines,SLOPE,-1,-1;DRAWING "DRAWING" true true false 10 Text 0 0,First,#,Infrastructure_Lines,DRAWING,0,9;PROJECT "PROJECT" true true false 50 Text 0 0,First,#,Infrastructure_Lines,PROJECT,0,49;STATUS "STATUS" true true false 10 Text 0 0,First,#,Infrastructure_Lines,STATUS,0,9;STREET "STREET" true true false 50 Text 0 0,First,#,Infrastructure_Lines,STREET,0,49;INSTALLATION "INSTALLATION" true true false 8 Date 0 0,First,#,Infrastructure_Lines,INSTALLATION,-1,-1;U_ID "U_ID" true true false 10 Text 0 0,First,#,Infrastructure_Lines,U_ID,0,9;created_user "created_user" true true false 255 Text 0 0,First,#,Infrastructure_Lines,created_user,0,254;created_date "created_date" true true false 8 Date 0 0,First,#,Infrastructure_Lines,created_date,-1,-1;last_edited_user "last_edited_user" true true false 255 Text 0 0,First,#,Infrastructure_Lines,last_edited_user,0,254;last_edited_date "last_edited_date" true true false 8 Date 0 0,First,#,Infrastructure_Lines,last_edited_date,-1,-1;TYPE "TYPE" true true false 20 Text 0 0,First,#,Infrastructure_Lines,TYPE,0,19;UP_MHID "UP_MHID" true true false 12 Text 0 0,First,#,Infrastructure_Lines,UP_MHID,0,11;DN_MHID "DN_MHID" true true false 12 Text 0 0,First,#,Infrastructure_Lines,DN_MHID,0,11;UP_INVERT "UP_INVERT" true true false 8 Double 8 38,First,#,Infrastructure_Lines,UP_INVERT,-1,-1;DN_INVERT "DN_INVERT" true true false 8 Double 8 38,First,#,Infrastructure_Lines,DN_INVERT,-1,-1;INSP_DATE "INSP_DATE" true true false 8 Date 0 0,First,#,Infrastructure_Lines,INSP_DATE,-1,-1;VIDEO_UP "VIDEO_UP" true true false 100 Text 0 0,First,#,Infrastructure_Lines,VIDEO_UP,0,99;VIDEO_DN "VIDEO_DN" true true false 100 Text 0 0,First,#,Infrastructure_Lines,VIDEO_DN,0,99;LOCATION_ID "LOCATION_ID" true true false 2 Short 0 5,First,#,Infrastructure_Lines,LOCATION_ID,-1,-1;MUN_LOCATION "MUN_LOCATION" true true false 25 Text 0 0,First,#,Infrastructure_Lines,MUN_LOCATION,0,24;FROM_Y "FROM_Y" true true false 8 Double 8 38,First,#,Infrastructure_Lines,FROM_Y,-1,-1;TO_Y "TO_Y" true true false 8 Double 8 38,First,#,Infrastructure_Lines,TO_Y,-1,-1;FROM_X "FROM_X" true true false 8 Double 8 38,First,#,Infrastructure_Lines,FROM_X,-1,-1;TO_X "TO_X" true true false 8 Double 8 38,First,#,Infrastructure_Lines,TO_X,-1,-1;FROM_XY "FROM_XY" true true false 50 Text 0 0,First,#,Infrastructure_Lines,FROM_XY,0,49;TO_XY "TO_XY" true true false 50 Text 0 0,First,#,Infrastructure_Lines,TO_XY,0,49;FROM_NODE "FROM_NODE" true true false 10 Text 0 0,First,#,Infrastructure_Lines,FROM_NODE,0,9;TO_NODE "TO_NODE" true true false 10 Text 0 0,First,#,Infrastructure_Lines,TO_NODE,0,9;TEMP_ID "TEMP_ID" true true false 4 Long 0 10,First,#,Infrastructure_Lines,TEMP_ID,-1,-1;HC_ID "HC_ID" true true false 2 Short 0 5,First,#,Infrastructure_Lines,HC_ID,-1,-1;ON1CALL "ON1CALL" true true false 50 Text 0 0,First,#,Infrastructure_Lines,ON1CALL,0,49;GlobalID "GlobalID" false false true 38 GlobalID 0 0,First,#,Infrastructure_Lines,GlobalID,-1,-1;FilePath "FilePath" true true false 50 Text 0 0,First,#,Infrastructure_Lines,FilePath,0,49;AssetStatus "AssumptionStatus" true true false 50 Text 0 0,First,#,Infrastructure_Lines,AssetStatus,0,49;AssumptionDate "A" true true false 8 Date 0 0,First,#,Infrastructure_Lines,AssumptionDate,-1,-1;JOINTLNGTH "JOINTLNGTH" true true false 8 Double 8 38,First,#,Infrastructure_Lines,JOINTLNGTH,-1,-1;QUICKRAT "QUICKRAT" true true false 10 Text 0 0,First,#,Infrastructure_Lines,QUICKRAT,0,9;STRRAT "STRRAT" true true false 10 Text 0 0,First,#,Infrastructure_Lines,STRRAT,0,9;OMRAT "OMRAT" true true false 10 Text 0 0,First,#,Infrastructure_Lines,OMRAT,0,9;RISK_RATING "RISK_RATING" true true false 8 Double 8 38,First,#,Infrastructure_Lines,RISK_RATING,-1,-1;DIAMETER2 "DIAMETER2" true true false 8 Double 8 38,First,#,Infrastructure_Lines,DIAMETER2,-1,-1;HOUSE_NUM "HOUSE_NUM" true true false 4 Long 0 10,First,#,Infrastructure_Lines,HOUSE_NUM,-1,-1;HIST_ASSETID "HIST_ASSETID" true true false 255 Text 0 0,First,#,Infrastructure_Lines,HIST_ASSETID,0,254;REMOVED_DATE "REMOVED_DATE" true true false 8 Date 0 0,First,#,Infrastructure_Lines,REMOVED_DATE,-1,-1" # ExportFeatures WaterInfrastructureLines C:\Users\ejarrell\AppData\Local\Temp\ArcGISProTemp26696\Untitled\SQLServer-arcgisdata-Engineering(arcGISPortal).sde\DBO.WaterNetwork\DBO.WaterInfrastructureLines # NOT_USE_ALIAS "SUBTYPE "SUBTYPE" true true false 10 Text 0 0,First,#,WaterInfrastructureLines,SUBTYPE,0,9;ID "ID" true true false 10 Text 0 0,First,#,WaterInfrastructureLines,ID,0,9;ASSET_ID "ASSET_ID" true true false 10 Text 0 0,First,#,WaterInfrastructureLines,ASSET_ID,0,9;ANGLE "ANGLE" true true false 8 Double 0 0,First,#,WaterInfrastructureLines,ANGLE,-1,-1;DIAMETER "DIAMETER" true true false 8 Double 0 0,First,#,WaterInfrastructureLines,DIAMETER,-1,-1;MATERIAL "MATERIAL" true true false 16 Text 0 0,First,#,WaterInfrastructureLines,MATERIAL,0,15;COMMENTS "COMMENTS" true true false 50 Text 0 0,First,#,WaterInfrastructureLines,COMMENTS,0,49;SEG_LENGTH "OLD_LENGTH" true true false 8 Double 0 0,First,#,WaterInfrastructureLines,SEG_LENGTH,-1,-1;SLOPE "SLOPE" true true false 8 Double 0 0,First,#,WaterInfrastructureLines,SLOPE,-1,-1;DRAWING "DRAWING" true true false 10 Text 0 0,First,#,WaterInfrastructureLines,DRAWING,0,9;PROJECT "PROJECT" true true false 50 Text 0 0,First,#,WaterInfrastructureLines,PROJECT,0,49;STATUS "STATUS" true true false 10 Text 0 0,First,#,WaterInfrastructureLines,STATUS,0,9;STREET "STREET" true true false 50 Text 0 0,First,#,WaterInfrastructureLines,STREET,0,49;INSTALLATION "INSTALLATION" true true false 8 Date 0 0,First,#,WaterInfrastructureLines,INSTALLATION,-1,-1;U_ID "U_ID" true true false 10 Text 0 0,First,#,WaterInfrastructureLines,U_ID,0,9;created_user "created_user" true true false 255 Text 0 0,First,#,WaterInfrastructureLines,created_user,0,254;created_date "created_date" true true false 8 Date 0 0,First,#,WaterInfrastructureLines,created_date,-1,-1;last_edited_user "last_edited_user" true true false 255 Text 0 0,First,#,WaterInfrastructureLines,last_edited_user,0,254;last_edited_date "last_edited_date" true true false 8 Date 0 0,First,#,WaterInfrastructureLines,last_edited_date,-1,-1;TYPE "TYPE" true true false 20 Text 0 0,First,#,WaterInfrastructureLines,TYPE,0,19;UP_MHID "UP_MHID" true true false 12 Text 0 0,First,#,WaterInfrastructureLines,UP_MHID,0,11;DN_MHID "DN_MHID" true true false 12 Text 0 0,First,#,WaterInfrastructureLines,DN_MHID,0,11;UP_INVERT "UP_INVERT" true true false 8 Double 0 0,First,#,WaterInfrastructureLines,UP_INVERT,-1,-1;DN_INVERT "DN_INVERT" true true false 8 Double 0 0,First,#,WaterInfrastructureLines,DN_INVERT,-1,-1;INSP_DATE "INSP_DATE" true true false 8 Date 0 0,First,#,WaterInfrastructureLines,INSP_DATE,-1,-1;VIDEO_UP "VIDEO_UP" true true false 100 Text 0 0,First,#,WaterInfrastructureLines,VIDEO_UP,0,99;VIDEO_DN "VIDEO_DN" true true false 100 Text 0 0,First,#,WaterInfrastructureLines,VIDEO_DN,0,99;LOCATION_ID "LOCATION_ID" true true false 2 Short 0 0,First,#,WaterInfrastructureLines,LOCATION_ID,-1,-1;MUN_LOCATION "MUN_LOCATION" true true false 25 Text 0 0,First,#,WaterInfrastructureLines,MUN_LOCATION,0,24;FROM_Y "FROM_Y" true true false 8 Double 0 0,First,#,WaterInfrastructureLines,FROM_Y,-1,-1;TO_Y "TO_Y" true true false 8 Double 0 0,First,#,WaterInfrastructureLines,TO_Y,-1,-1;FROM_X "FROM_X" true true false 8 Double 0 0,First,#,WaterInfrastructureLines,FROM_X,-1,-1;TO_X "TO_X" true true false 8 Double 0 0,First,#,WaterInfrastructureLines,TO_X,-1,-1;FROM_XY "FROM_XY" true true false 50 Text 0 0,First,#,WaterInfrastructureLines,FROM_XY,0,49;TO_XY "TO_XY" true true false 50 Text 0 0,First,#,WaterInfrastructureLines,TO_XY,0,49;FROM_NODE "FROM_NODE" true true false 10 Text 0 0,First,#,WaterInfrastructureLines,FROM_NODE,0,9;TO_NODE "TO_NODE" true true false 10 Text 0 0,First,#,WaterInfrastructureLines,TO_NODE,0,9;TEMP_ID "TEMP_ID" true true false 4 Long 0 0,First,#,WaterInfrastructureLines,TEMP_ID,-1,-1;HC_ID "HC_ID" true true false 2 Short 0 0,First,#,WaterInfrastructureLines,HC_ID,-1,-1;ON1CALL "ON1CALL" true true false 50 Text 0 0,First,#,WaterInfrastructureLines,ON1CALL,0,49;GlobalID "GlobalID" false false true 38 GlobalID 0 0,First,#,WaterInfrastructureLines,GlobalID,-1,-1;FilePath "FilePath" true true false 50 Text 0 0,First,#,WaterInfrastructureLines,FilePath,0,49;AssetStatus "AssumptionStatus" true true false 50 Text 0 0,First,#,WaterInfrastructureLines,AssetStatus,0,49;AssumptionDate "A" true true false 8 Date 0 0,First,#,WaterInfrastructureLines,AssumptionDate,-1,-1;JOINTLNGTH "JOINTLNGTH" true true false 8 Double 0 0,First,#,WaterInfrastructureLines,JOINTLNGTH,-1,-1;QUICKRAT "QUICKRAT" true true false 10 Text 0 0,First,#,WaterInfrastructureLines,QUICKRAT,0,9;STRRAT "STRRAT" true true false 10 Text 0 0,First,#,WaterInfrastructureLines,STRRAT,0,9;OMRAT "OMRAT" true true false 10 Text 0 0,First,#,WaterInfrastructureLines,OMRAT,0,9;RISK_RATING "RISK_RATING" true true false 8 Double 0 0,First,#,WaterInfrastructureLines,RISK_RATING,-1,-1;DIAMETER2 "DIAMETER2" true true false 8 Double 0 0,First,#,WaterInfrastructureLines,DIAMETER2,-1,-1;HOUSE_NUM "HOUSE_NUM" true true false 4 Long 0 0,First,#,WaterInfrastructureLines,HOUSE_NUM,-1,-1;HIST_ASSETID "HIST_ASSETID" true true false 255 Text 0 0,First,#,WaterInfrastructureLines,HIST_ASSETID,0,254;REMOVED_DATE "REMOVED_DATE" true true false 8 Date 0 0,First,#,WaterInfrastructureLines,REMOVED_DATE,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,WaterInfrastructureLines,Shape_Length,-1,-1" # DBO.WaterInfrastructureLines 002 Server=arcgisdata.haldimand.local; Service=sde:sqlserver:arcgisdata.haldimand.local; Database=Engineering; User=arcGISPortal; Version=dbo.DEFAULT ArcSDE Connection Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_UTM_Zone_17N <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/3.4.0'><WKT>PROJCS[&quot;NAD_1983_UTM_Zone_17N&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-81.0],PARAMETER[&quot;Scale_Factor&quot;,0.9996],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,26917]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26917</WKID><LatestWKID>26917</LatestWKID></ProjectedCoordinateSystem> 20251117 13055100 20251117 13055100 Microsoft Windows 10 Version 10.0 (Build 26100) ; Esri ArcGIS 13.4.0.55405 Water_SAMPLELINK_Line Haldimand County Water Sample Link Line Infrastructure A sample link is a dedicated pipe or connection point in a water distribution or treatment system that allows operators to collect water samples for quality testing. It provides safe and controlled access to water at various points within the system, ensuring representative sampling for monitoring parameters such as chlorine residual, turbidity, pH, and microbial content. Sample links are essential for regulatory compliance, system monitoring, and maintaining safe drinking water standards. Enterprise Geodatabase Feature Class dataset EPSG 6.11(3.0.1) 0 Simple FALSE 0 TRUE FALSE DBO.WaterInfrastructureLines Feature Class 0 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. SUBTYPE SUBTYPE String 10 0 0 ID ID String 10 0 0 ASSET_ID ASSET_ID String 10 0 0 ANGLE ANGLE Double 8 38 8 DIAMETER DIAMETER Double 8 38 8 MATERIAL MATERIAL String 16 0 0 COMMENTS COMMENTS String 50 0 0 SEG_LENGTH OLD_LENGTH Double 8 38 8 SLOPE SLOPE Double 8 38 8 DRAWING DRAWING String 10 0 0 PROJECT PROJECT String 50 0 0 STATUS STATUS String 10 0 0 STREET STREET String 50 0 0 INSTALLATION INSTALLATION Date 8 0 0 U_ID U_ID String 10 0 0 created_user created_user String 255 0 0 created_date created_date Date 8 0 0 last_edited_user last_edited_user String 255 0 0 last_edited_date last_edited_date Date 8 0 0 TYPE TYPE String 20 0 0 UP_MHID UP_MHID String 12 0 0 DN_MHID DN_MHID String 12 0 0 UP_INVERT UP_INVERT Double 8 38 8 DN_INVERT DN_INVERT Double 8 38 8 INSP_DATE INSP_DATE Date 8 0 0 VIDEO_UP VIDEO_UP String 100 0 0 VIDEO_DN VIDEO_DN String 100 0 0 LOCATION_ID LOCATION_ID SmallInteger 2 5 0 MUN_LOCATION MUN_LOCATION String 25 0 0 FROM_Y FROM_Y Double 8 38 8 TO_Y TO_Y Double 8 38 8 FROM_X FROM_X Double 8 38 8 TO_X TO_X Double 8 38 8 FROM_XY FROM_XY String 50 0 0 TO_XY TO_XY String 50 0 0 FROM_NODE FROM_NODE String 10 0 0 TO_NODE TO_NODE String 10 0 0 TEMP_ID TEMP_ID Integer 4 10 0 HC_ID HC_ID SmallInteger 2 5 0 ON1CALL ON1CALL String 50 0 0 GlobalID GlobalID GlobalID 38 0 0 FilePath FilePath String 50 0 0 AssetStatus AssumptionStatus String 50 0 0 AssumptionDate A Date 8 0 0 JOINTLNGTH JOINTLNGTH Double 8 38 8 QUICKRAT QUICKRAT String 10 0 0 STRRAT STRRAT String 10 0 0 OMRAT OMRAT String 10 0 0 RISK_RATING RISK_RATING Double 8 38 8 DIAMETER2 DIAMETER2 Double 8 38 8 HOUSE_NUM HOUSE_NUM Integer 4 10 0 SHAPE Shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. HIST_ASSETID HIST_ASSETID String 255 0 0 REMOVED_DATE REMOVED_DATE Date 8 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 20251117 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJy0vQmzLNeRHpbdXb3d/d63gg8AwQUkyInQaOyZkX6B5Qg5LP1l yaEYhWVHiNSMZBNDEDvevty1t+p2fJknT+ZZqrsfSBf5cLurq85+Mr9cT/PmzXcb0muzoTWtCf8l 6lGv16PNBj/rIz3qU5/vU69Pg8GIer1+8jv/xkVtqp/5+3rN7+PdL774Ew2bhh5/8Iiapk+r1Yp/ 7/f71Ov3+S/+uSYSilq3a1qvW66Zn8VN/ZGkrlnb0pv5iuabDZ0NB3Q2GsZy0OZ+f8DPon1cVqxX +y1d6/d71LYtrddrGo0n4XmpX8pA1Wvq99D/Pq2z/tpYYlylUC0ff7XZvdAWfhazsF5zT/qDAX07 n9B3iymtNj1qqKWfDq/pyfGY+rSmxfIujo2Ohc6bzE9oBd+3+qWN4dnexqZROx7G0RVgk7Dl8vO+ 34W+bujudk7HJ0c8rp//4Qsajcb05s0bevjwEd3d3dFsdkcHB1Nq2zUtFgu6f/8e3X9wj9cNj1Xs t+/vvm3ImyRjNBxOqG2XtFotaNCk64fXcBgjm9t6vbva0v07ype56mHdr/1+DHOyqZcjb8o86v20 nnKOa3OnaxdryeiBPKflYc4G/Yb3Zbte0nA0jvUtl0v6+utv6PbmhufswYMH1DQNt036JWWEpRla vQ7rMm1mYwvXfuRJyIhVQnxAtvpNQqysM/qs1tQxB0T06uUralcr+uCDx9Q0A36/jzIHfa5fO2MD w9SOWt3IIGSeMMTPUu94MKCH0z4t12u6XLT05fVM2hyI23oz5+/jQY9O+kSTPi8Noo0OIsrkYbX+ rzdM0GJNgVDxxg/3QOBwYWMNBuiXW1ugC/KfZDh0zGUqAvFwNOTxcEaTfkvfzA/obt2nF6sRHcwW dG/S8EJZLGbUHzTJmCuxknpDLfxZiaWNVTlVNpZxbt9j89c2X7KZwiawRd3SN998Sw8f3qfTkyN6 8uRD+t3vfs+E6ObmmkajEU0mEzo+Pqbz8zOeF/QFS0CIhd9Evv3dxGDbfRSyXi3482DQULteleMT NlTaJ2VGShyKkUnGVj93ETPpC5iQe0Y3Mleelr1titJ9aUSLGWVsi18/xlBTwpYxMl1r/Cz2ZkrM QJx++tOPee+8efOaNmswf2HuOgr6Ae+A4XN7tJrQDvyGFR4XomzEElV5xoquoSJFFrEuLtCv6W5O h4/z2YxevXpF9+/fp+FQNhqXnRAh2bFGxTeCznTMsMHd4AUabQuXiAZY1IM+XYx7dAru1LOJA1fA hSG+XrW06fXpKNZtm1u4S0/a5i4QTJtQfadXICjljlJn2KSRc6K/tsmEq8hmZhQHgtjvUdPr0/lg RePpDf2wmNC71YieztY0HhCdBNS3apfU6w1DfdoGlOXGKFnR3SjAPr8/Ssm5cF6HjA/GQb7P50v6 4YfndHs7oz/96Rv6F//iMxoNe3R0dEAPHz6k6cGUCdZggHXXY0Tl16jt45QQe+7dddUQRywnrBGs 9UF/wHNhm74cz231lONejo3dN1Rk7/tnuOWVfqRl1VuTz00gDlk9EcS48su2+7EIpQQamktVYNw0 ILq4uGCJoV0t6enT7/k+7oEZ4WmMMTOgXn3shGBFgmRQwHOJyE0UBjNl9IshFR/zxuYT0q7W9OLl KxqPR3R8fMhcUusVrMHyESMdG4AwCEAvigxALCI3rS0CuYdX0OR+eD8iQyxCFk97NOg1dN2uabVs 6agZUNPDe4zjhCPgE3PeQAjQjNaJvRAxw7hIW7G4vRQl7wkaCIsxolabfEUzQsggpm5ouVrRaDhi 8e+wv6GPx3f0HU3oqh3R2/kdHQxaGjZjnmwRjTBHhnz9xCtjqS7lQmT4cy5fSTY3G6K72xk9f/GK FvMFHRwc0NXlNT158gF9/vk/06rd0Hjc0Kef/oIJlaApm7eUqG5vRV382Y1slCGt2gUNe2MR9dsl Nc0wIx4dg9kpOXc/b0wyV6UY8yPdG/FZ62fC9HSP5JOdSEEO7cd6lAj5scK/uEkrBDWsGwYUpSrI z9egEZID8fr+g/t0d3tHl5eX1LYrXgfyYJ0JMFpTWdGLdCXFdWiL4alsYqM0+cJwE+OIC25Bxr28 vKLFfM4LdNAMCggfx9qVg86yCKh6tjAw8m43sdI+2PPGnXljB4o46vfouNen23ZDrxeA/z2aNgM6 hagaREGD/youBpTHk6XjaOPmiZVttCDqBrHRflNx0Hqg/WWYHJAlnpn013TWLOlmPaGbTUN3yzkd jvpMtGbzG2qaUcr5skVd30jdiGg/dLDtd/m+Wq7o9Zt3/Ah0gsvFiobDEb17d8Vc9vnzl8KBgx5u Op3oVnVlp/Oa15G0JHlg+++eUNi9Pm8kXKwCoUWYP5tLa5fWUSeMabndTEFRZ47Q03cpqc8DBxsj T6wCAVMmGdeBARS/YHMmm6sSyssv3LTPRrTinbgHJpMpMwCMMZDWfD6nq6sr2vQ2dHZ2ykgsr6cx 4iTQMGhsqk2Km5M5eUu9NYgICM7AZOqsoRGchU0/m0mj0KDJdGJ1R9HJda6XTwyx/ipu3k4unhNP EwPTyXWTQxsaof4B0BYU9htarqHnWtNqvaGb1Zqu2jWdjnt03KSioZajyvjQ7TAORihSfZznmriX bkrWz6iSxnPJgNIO+isa9tZ0txnSTbukcbuk4XBMzaBJUBzPU0RZpuB3xVWv7Yuz+kYy1l6cvLy8 5oqwKG+ub5mjTqfTyFEvLiZ0dn5Go/GARYPhEGtK9Sr1OrZdu1HiNoJbPsl6yn7DOkJvaNleXrcO zT7XCdsu0bKXlJevKUeEOt7XvwnRjbTWEz5fFL476SDvbed86b7T7+kF/Rb+6TWejtnA8vrVGzo9 PaHReCh65dCOpuA0rqIomrlBgWzFFrWgg5DNFTrCxKvGdeTPctHSu3eXzEFPz06SYbENLRzMBiId YNH/yLPluNUnmvVyCZfSx9N+Y8AhCo77PSZWi7all0CSYZffrTd0P9NjKRFooZdrIV6uaQJdS6LL whgNUish4HNm0NA2KHyDzmzgCLgyQhDFprehSa+lN+2IrtZDOl7PqN+uGF0ZypJnoftRvZGJVrmu yS9Er7fsGNNsgyhhhqHh8vIdXVyc0+vXb+jtm3esRIVxBcpyWIxubm6ZWOE7lNkgUjC6TKf3doh4 tc25Hc1sb3tadg1FYA6AAFRvi/bnBKtGQPxv9Trz9qZSTv6+vza1Qcr0zkk9qjqJ0pIX+az/Koql yDNV+Bvi60ZVujdT5lj2K+lHD2LigA4OD5iAAW0N+hDD1/T69Vs6Oz+n4XAYdFjJINpnxlqxLUER 5BCALtLNRpTXqpCXf7LRQHDw7GoFa88NNwSm6GGTT7rof6rzEMRWhcvpJGZylENe0fIRlPNGZH0P YwPipOOetoYlNyAV6tHZqKEp73XhJn7j3K7WNF9Dj9WjdrOmkyGQju8fiIdatPpOxaD9ESuj1O6M A/yis5gE0bq3gT5rSe/aIV3h32pBw35Lo+EkrFEQp0EyPkas1JqFu2ZJTC/jart1WlLH3d2COSOI 5Hg0ou+/e8qLD+Kfjv3R0RHrpc7OTmh6AEWr9e3PU53th1Di03vq6hilcvs3rHhfRuZhbgK1d/J2 7KcX3PeZnqtL79YJpt3zzKhLfeL1Yia65RPj+91lxPF62bRftfHywKVP4/GEJuOpKOF50/SY8WH8 m04leWi0FmS+TmFCWCxOOSyxX9SauZISLd6cULLezZlgHR4e0NHRoaGNXhcVlx89J5X92098XsqJ MbFWzLX5YKbip59//d70iKaDHuu1DpoBLdctvVq0dDEeBXHUERmgh82G5u2GQLbxq/rKGErJDRLW P9VliajnEVbGDJVdMbGSv0f9FR0NVvS2HdHr5ZAOBksajXrs5mCLQfuYKknjbxWCv8/FVslVS/P5 Iop7z5+9oOfPn9PPfvYzev78BZd779453d7esgh4fHxEw9GQmsGArX1ddqx96t7ya/i7D9raRxRT tQYYQMMuDipy7ypPxaDu5tbRTupO4HhpcuUIzeuv9Hv4G6WXWkOsnPSZGmEL0g+7HajFtFZaKjno LwlYcDrvqBaJUp29B9R17/59evPmLY87r2w3xFZtaLsfFhUJoaqG0r0fdDz6G1NEfGdxR10BBrRY rOj66ppLgigY0VsCl83MLR2i6uCVytH6apA9qiTLepESZ4PBNgTyDsRC1YIzUYK1br1m4iXP9Vn0 wxNAVoM+9EVCLKdwioviciBqbFH0BETcSKIuIfhJxXY5HywVGNtVKwQuEC1Wvg+WdLce0PVarJzH 0LdAWRkta3GFxDFJF38O9bNxDCgafVPlv7pzLJcr1k/B0gOdJJw8IS6p3urDD3/Cot5kekaHh4fi LKiEewux2t9S2YUmync9IqiJb6WIae+xhZB9hyBeN7RcwufNO5F6vXX6fpeoqO30SM0YtpVpZaSi pWfqHjQITzPFTt6+tE0ORcX2puNVG1VZ2l5stHUWcFqG2EsjhX5jo58DGLU5hWL+4cMH/HSjFDil Tk4syUQJthP2GtpAvuytqc8bOCxCRhbaJiFA0GlA0QrPZCzq0QhmYfXAhre56lP8YJr45wfPOIAt AtVpxdFKBskvpNRKF+sMqCZx3whioF4gS5N+j64WK7iSsJw4X7d03usRli0siyBeIBIt9dgtIiIm Rapwig2bWSdICNmKiRW7RNQ6EqZFXCaCPs31AdZC3Hm1bGix8ToQ7U9YHpWNlJufvRhoS3PDDGd2 N6NmOGT/OaApzCt7/7ctK0nhgQ7P9NF4xB7p5+cndHZxwvozZl5BJN91bSNWP5aQ1cWXPUqJ6y64 tqxhzRqyTg6GmRQxpJu8RlDSq27cqvchJVZ6eau0IXpDKD0lgMX+0jalqLtOrHI/rdTqlzC6WADW amroMenHqXh6KSPtmjfftian5EodHf0UkY0Ji6Pc7Kc0YGdLQQgtK5xBqMLwcTmzuwWLgzBRI+zC ylR/JfEMZ6QZlX7a4BRxJVYQJSxKVeOgxBYmJtnYT+fCoUpojJwStVhmnGzopYhOhgO2HOLzcDBg R9PrZUtNX9wthsE/DEgMyndGaHHQMXaGINV5VEKBxMKKja9oNe8J3gEhHI2mtG5XwetaFgoIKFAW dFpt1FkFJBFQga0/jRbQLuYIw20hJ86AWP3wwzNWlEO8U6XobDaj09NT/oeQqsl0xOVcXJzR4clU luZmxcR2HwHN2lFeu3VpJTraVuYu4le4EkhBPNcQue3VBMdkZW4Tt63M97425ngsdZqU4/VPCaYp kF6KqgqNUILCrC8GXhRYOCfpQvzV70b0YsiNLzqUnxP8HPXje4NNI8TIWm2AzaMrGwgP8VT/BDfW TW/FXFepPcItbm7umCDBRKklQNMFVwGWSfX9xKrmw3JScTHqsCIRMjToO19DYuEF/qOuEflkyYbW UA+7hkyU5D0QttPhgL64ntPJaEj3xw0hMmqOuD4OA1rS+XjIFj5ro5lN1N2AESkTNnFoHTXjODFK OsDNFYUuFrfMJPAP8VrW/h5Nehuuu21FfwWrHC8PFuWA5Fr+B3QkaE45miPqsctOtxb0l2IwWbDl BopzzCncU0Bk792/oPl8Rk8+eiR18nxhHWgZdYPKvkSnrsMpntpZTlJTVVm85R0wDcz9ChZDWAvn LB7KT3ncbV38M0bt4/Ly9uxBeHv9DsW+vC+MKB2wmuiZ7o/a2Gy2oz2sLVYPqY+iF0lNbMUaXm/g XhMERjZASXhdSik9DUjHQu81esviifBZxBN+SC1V2SWbyKCgiB19GnDYxJrNkdfXV2wGPjk9pcFo JIQqOGauYJ6nDd0fNXTMvkYQH9ExxrLSJvimsj+S+CSpzkeaA5jOKm6DwNv4WaZ/sfGwhSQBzULI GBWwdVAWgEaS4X3RZUAh32drINAVyhz14WhKdLVa07O7BZ2PhjQZGC9UVLfeiD7qYHpEy+WCRY1m aM6ehiZ0csWXajQeMyECcoI1cLVa0qvXL2nVttQbTugOjpjHh3R+fs5tBhJCWyF2vnz5jFbLJd1/ 8IDG04NI+JU7Yyw1VEm4swajQqHe56DVk5MTur29o9GooeGooY+nE0ZT40lD48kBL8pckcyOxlvm xBZj10bVDbhNP+QZrFhjU7F2X3yX64jkPYi/QJDLBebqhsu7u7vmQHhcsHqCgLMVa4gY220IrnKv gDhpm+N62CjD073nx62D6AZq3+VSIbdrRgRPYK3sHPEkY4//hL1s/n8BfLg1wfvWSUhB0ZTUrYw4 H8MmbmD2UbSBMM293jO5KhYG0aawMuBvQ9fX1ywKso/NeETPbm5pTgPe3A8mQ7bAQXR6PV/RpN+n 5WZDr+ZLNhtH4rnZ0HjQ541/OLS4PSYaHBUuiEGfF+SVQnmzvmWQOVs3th6EUGlflmuil/MVLdjH iuhi3NAxFBjKHKKeIg4onY/6NGvX9Gax5O/3xg0jyneLlm5bQYuHhLYv+Pvdmuio19JhA/SToglR +K5iUAH0SBAf54s7JlpAsX/4/A/0+s1bOjg8pP6vf0Vff/UlXV2/o199+ilb7V6+ek13dzP2Y3n9 5hV9+OETJj6MEBxC7XMAOsZXog9kTNYcRvHBTz5gV5TT02NhKBworgRYCV25YWq6ib/klRsRct2n 12Om78hmE8Kd39eyhGi9fPGSvv76OyZc6pYBZnBzs2TUCh3e7e0NjcdD+tWvf8mW8DoRTjeiMV9P bFT0sv4Yveg5oT2VRrrEXl93KQ6W4qF7uxgvVa6zEQbZUrDfIAFgD4KOgEi5BAtWEvaUMEaMoehz S9TmpSJT4xhTw+do/1ZdklcTqXtC0uGg5JaQBUFfklbFfDggOsCbGe/DEexwPKZDFmlmjJIgPgHB jPtwtmzpmztRWkO0AoHSetDIq2VLl8uWJkBuzDqJFnPRzSAtTSS4QpFSZhW+2IIM4qSPSXR+J3GC g84CrgpXq5bujQc06kG9vqGvbxd0eDCiRbuhIQaQh8ApLMVxiyY9ogd98Zj/4XbOY3Y6aph4waK4 nIv7xMmwT+M10SWME+2azocNE3Ovg2BlvSrQGcjCO5hovrhlcWz67QG9+H8/p1/96oxub27pH/7h H+hnP/+E/s//8n/Tixcv6PHjxxy3+Yc//DNnxnj46BEjuhi8rQHlTrzROVeRezQKjq+9dVVXUVvk Qgd7fyEFelpnYcWqlJdb3dL2btdf+bKgr/vggw/ol7/8tFq3Pvuf/tP/EXzOtI68H6pz8m3wxpaS cOVju3EGG0/4ughXt5Wys/ehj/a+rglFjpAOJChf9iRE5Bjm1jGyUGMgLpMJXGLgyRX/2/vSeOtC rgsTZbu2XAZrscYmXjMy4Fir9YYeTYaMDtT8+/bNW4bQdHhEy9GIFa+bdk2j0YQ7CTFotZgzWngy Fd8WNDC4UyY6qWnT52Dpb2/mccL0OqY1nSFfllLhQNCECqk+KtVdaRtxH3myrtsNzVbgFgZxleiA cJyPQKxsAh+MG3o+h/6oR+fDAQ0dsfILD/2Bcn7Q29AU7g8s1rJDSExfo3pDEOkDWtO8JR5foLOb VctiM1LfPBgP6Y9XMzoeDuj+2Lx9EYcHHdUJ0rF8/DGd3X/ICnlY6+C4iewHIHaf/uqX7HU+m884 kLob9YR4zQzui6IUAv02PUu5iQ3m7wpWfh/CZeVnN1wddXeB9NFSgVCIOGGOsB6Q8QPf3717x1lG YGgYj8eMYD/55BNGXECwZsnuvpTI6FjLmjTFedlzl+5pIy5D2g/Vh3WhqS7UWNPhRebi1rGCmEis 2pVkrVBNVRZxEt1A2hUjdr0nmVaUoXePS9LvyliEtZ93VgbTR/pDcXa9XPMGPx2NORmewsOnd0ve dEP2v7li8QPiCUFEgVUFpm1w5nVLK5iG+wMaj6c0n99BOxzqMtHONxgi5AlSjQz94Mvfu7Zl4nEx GtJQ9QZKpZ05X2VodYEARnizWNO6BxeEPh2xDto4n/YdpeWBOHAkxXJBfwfOpcLrqSwPFQjAhi15 IuKai0VM44N4zODPddsumVAdDgdslcR7UKR/dzvnZxerlp6t1+xxDzcLEMB+b8N6qbaZUHN0QQhz /M1vZ7wB/uZ/+msWZ6DTAhT/V3//9yyqw8WExcwe+JWMOBPTIuzIuLw5Cb+fPsiXU1fs+vWXc9dd hM6VF9HLLuJnukHZ8PXYPH+x7rOHONgZffnll/TFF1/QZ599Rl999RUTro8//pifg1K+rL8kipEQ RoQkCmjR0Tp9VdIcE2FFR8QR/VsJQHml6p7yN6+vTvWCQqyC1VnnKBP5BYF7I5oTIVV/nIh9BoY8 kuzWVUaCpZNt3qs51UboCTg/rF/TwYDN+drIk6bHCfLGGxEFIa/MhiNGXeyTFAhHH7qfsPjY+Q6K 5OkRU+3VcsFoIGbM1Ob3JL4vDmsQY8CQsNHHG6K3iyW3aTKQiUQ7IYoFoZURGNoBIoNnESd4NBzQ pBkw0QHRkLQzPl1O0JcFi5ouLHCcY+TvgsLaLW4Z89K3hidMQ2vC/m+XK5b7oYuS2OY+TRuih32k UuG0QVFzOBwI0b5rBamhnttVS7MQ88gE/eyMegen9Hp9SIvNhn7+qz4djifU67V0cX7BSGA8GtMH jx/TfIF0LtMgZgafsJg9ouTMUa+nOsKd6CqMX+EIuM/GMn2FLV6979Fd7Vkd7/x+iSTSq5sIaxmi 8pCyocMCmvr9739Pb9++pUePHvFfZJkQC1nen7S9upRlnYd6VPWaCgNRIvRGv01EQhYX6tGZ6etS xGmfaz0NzwTnb99erdWIVcjfBuIaPAykvWm2EqVZvL2YWOHOgNqN7EovBvp2pMSqnHeok4TDciYT GQ7J5Mla1XghuBfw72DQpyYonRnmQa5sW/rqm+/o7ATm7oYOjg6pN5mwOMePsqQmSELfY0rMqYcX bAWCjxEGQJLQid6mto4UzuMZ6JCY4FCfZus1zXg/CSqCzkvdCkBG5shcuWpZV3Y47NEIFk3dsNGr 3aVr1UkO4qHqGyJH1gUSxM90paXoguX9GAmAkBYg0iGjL5lw+FMhs6X20epHH5DmZtjfMJNgUaLX Z+96ER2FZ837Q5ptGlrSgObjc3p8LEkRZ7NrcWUI1pvJdCrJ1JQjxkViPjO6sL1Flh1fOBtksMx2 2/7CuOzrypC9Hcz+NaTVaQnruFe6Q/QqYqH1M6pEMnEJRGo2W7AnP9ApLN8INQIjgF8axvPp06fs ujMcjbKQML8msnY60LpJiGcgHJzttuz3RvVKjghGdUayHrt1WDX3hg6yLX6DwYWB1wovF8fQlRa4 Xqu0YWsooEomeB5qa8U+31Zl7gJBbe5Y2Ut0BOVv2LeaRlh12dBTIV5uUPhGSYnXl9f07Ntv6dvV kkMwPvvtr+ls3IhOypkvdaC4Dt40sDZInchAiEuyDICiy3e2WAU0pz5F0YcljB2IEGjhKohoIJJA ZTKuQhRGmx4t4ZHeF0ue5zo2nF6PIXfNmuS/u8WjS8rMjJlJXblnAMOwuiHlbrtkAq4TbmV6C63p ZtBmbcNkAOJFtAKBh9sCQoPgpEtEN8uG3rRjerS4oePDU5rPbkL4A7OizE/GVmkURZJF7ZWv8j4I rxK2LuFLFnIFaW62IRsv0tXRU6mXKUVIbyXcS6dfKS+tsUdHx4c0my/o6uqSM+T+9V//dUyNAxEb hOvzz/9AH338k5BwMAdzRohsjJQU+fWUbvj8Xi98ZaYFtO3mLBItV02q/O8SVd1aiwYkG1MFJfKb XwxlRo9I0MI6T8dU0Sr8NcWdRlQ0JjrWiFUkeqG1DVAJkMq75YbuQxGEQOWWaMmWgEhMuTAgptTM yE1g5S9EQXAbxAz+4hefsAUsxjeHlZ9TTM3SKQcuiGMZ/+WOSdSQ+nTZQRRpLikloBCPxhr2kplC 8Q86nxEmQ10xEm5nxMRfUqdMmqRo8YOaLT6BXFm7VPlsi48PshhNabG4i0HMCWGLEfLyXQKp8w0P 6+SGGixaxDDCxQN5u2hFb3pjmm/glU80WS5oPDmk2exGDvTgsVZ9mlsIhRI2zWYZ7yoTYGwq4mG6 YfS59D1d41lp1e/7WA+7LWEylvsSKv9+p7gEJD8csqvCu7eXdHd3Sz/5yU8YYeE9rPmvv/6Kjk8O +RnW12YGAN+2ZP26fu++nKyldKBK0EuxUPton8k9Z6qgVG8fGHAWtmX9UASne0bSIeUSSmywMhIu S8K1ui5rqqVn0sY10OvAS/rdjGjZgFAJRNHFjOeArGAxG4fEdX5DokHwfoa5HJZBTcwmcYWaxC/d 3LERbhA1u6B6SIOb62bljRYCrQWdgIi11IREb9kwRqKeKgTLwVfxo7Q46ftmiVGuk+siUsacytyJ 8jR6/oopWH3ePKLQS/OQSX3q41Q+ZwsCS2BNR/0lXQzm9K4d0fVmRAcLZEk4ZussLLNCzM0NRLeN xpzpmNQXkM23/FfDM9QXz7dIf3t/kXDbZemA0rbUnvxL1O3HAsQIzAZGpR9++C5YtmU/rFZz+vCj JyG4W9tVBll7HU9HjR33lEGToF7OdJFjJk9wCohXdS/xDDBP78Rr3jH2hPi6ve9pQVJHHRxHPa+s Ee+/5x4NTFwMC2a1x9UcstsAnDeJZqx87rPlDEHNgPUc55eEykhhaqp8+eIVWwV/+cuf8z0Ogh2L z1JB8V0Svhxi6iaFDgyvSnS8ZHfk4ykYmhJd3VzT27fIWDmhi3tnySALZFanUzUcOHFHrYVuUDzk jKjIiX/abxM1bPEkXK9YDOkiw4X+MLqa3wWTr/fcN49uRTzcJudmYHpGLdeUwejzeLOiB82MEdbr 1ZgmvRUNFjMmWHgPxg3EawYAl4iFOSr1opUkUdROOvM7I0SF0iHUIixc3+/dVyqC11FWOLgiBoL/ eQRHEhtjAAAgAElEQVSpQMjbWhdcEE5OQPyHnFDubnbHLTg/v09PnjxmUbBG7Muy9m9bTvB61fK7 EZwr0RisivoanpZIGjbH3fm1UhEvuo/Ep/2xcl76UDkmrNkNokhMgjVVk5BiL4r6S4756vfoDOiq P6CjUcMcF17kogVW76hyIeG0E3gAQ4n8m9/+mo6PDkNfLNeVR6YeXVkiuWAmjVZH6SjS0WKzAklB 34PnF4uW60NuHBDI16/e0iEU/HB/GMKfy51PGNrsVVI6KFITQlFqqUYsrk6P9BIHyzoR0onRvpjO TuC2N/mIDk7cB0qkpxsjRYyFNSWRPoPOBm1Epob1hqa9FT0c3NGrdkzPV1Nab27plOY0GY55o4sf jZ5aY2ZyU3bbgCXcM1hNte+R2QbuzMwwZiCoZYPtusodXCMgstiFYEkKxBrR0o30nmKWy5GWi/PW RmFckCA+/FAkCMQTnpzcp7u7y0o/snUVmGlN1E5atNNrfeNE71qwddq/4k4iGuTtzcvKiFKSpSFd 92pl16KSdgWmxsxG93lsX+6cXlPW62/B053j1Br4GMnhhoJsTCGsYotZJ8TF/tWrNxwU+6c//Yke P35EBwcTp+uxtuog54glHt7pIJ9HPkyvB8ilLaEASFtyfY30vw2dnZ3Rf/tv/0hPnjxhT2TkBD89 PQqWNjdwbmiSQQnEKiLHLatI0KRmPfCKRfc+V2YR+HG5hmc5rfFgJLqrSAS8mCkLxpCTLg5TSOaI XMfIkCE8gTd00cxp0l/R0+WEnm+mdLOa09l4RcfjEQ0HI7bMgglwQOoWC1yqi/EiTS5yhMwdICV7 IIjKCG/91U4biA1LdJXWfiWW+6Ine6dOcMox0fVJ4QQYuOcANcMaa5btUmS18LHSQmcnJe1BaDfW blMnlCgredxdvgZxTZBDdEXlYfvUP52uc2+ltP2ltSVnRMS+OkVJVAcJ07FwQO2HuUf4cdI6A8HS 9Mc91kPJ+W/yXU/UjWICR+Nv6Pr6lr768mu2nAAO/4//8f9wICzOkvMyrt+M0dfJnc3nLWoW1xUy G7oFB6vI6dkx/epXv6Cnz56zE5/CcHgew2kPsVzT6TghVl7+TTJFAsVJ511bnWgScaVCVi8u+XCF MG3+8EdMflI2sWf/wcEpL2ymqsiBFWh7skByxpxln6Qih5A+J46kOtmH/ZY+HFzSs8WIntERvW7X dLGYcZjR0WhEo2ZE7XLObiSpl3UIi4rl2rJP+5vtBBUH3ltS2/WCioKmpJVxFotxkN9taPybFd2c 3wB5/1Jk2dU+bznuMQM6Pr5Ht7fv5EyDWE76Xjfh3P2cF7s2bhR+jFgcCSPmMoAGrx7QtabqBs9A 5X1Xlkf98eRmYVoct8LOkpYh2BTy6ofmUlaFMd2OPtn6D1MUUX8YMihyA+G3E05iZiIjm1AWco8z TP7z539ky+Df/M2/pPPzC/oP/+E/xoXvZaacc6ipVPZGzgn9JHjUEXI/4dDFe2d0cnpMT394wV7G sNrA1Pzy5Us6PpzSaHjOxAvnC4LITSfjKD9L6I6mxHH5iIJQb9JcOmryiE/NnCKb2H5H3VTvJ35L cgjFbHYbjAsmZspvvjxtlydW3i9Jyw/vKF+Lnv0WxD6iNd2fv6XxoKXXdEI/rI7o7WpO92a3dD4Z 0NF4zKIiRBscxQ6ki/nWSHuZe99OXdj5XG1zEbC+lRaz+FblXbk4VU3FosTriNZONMx9n/I5rO+E 0npWfs7eSPqk89s0Y5cIYDvMLAhpRkS7nt8UY+6+B0a2+wpnB4bTmOTEZrkPKSaW5UT7lNjniFz7 IO/wgR3UZ/ckGCP0YJpwMLTtkygxBBChDN9VnyDI8E4D3QcOFG36Emoj+cBVOa2czI6PxvxcXd7Q l19+xT4o//E/vqV//+//d/rX//rv2V8lhcTpJWOqCncbKHXaTAYgUnz3ftgw+Pv48QO6vr6jZ8+e 0f37Z+yJOz045AwGyCd+eXXFp7KMhjj3TNCXdyyKSvPcuc5FpGtbTG+jeqogznrukKyV6NAWPdsn 00O6vXlH/cEkxqX5xehWii2tLC1I1Dm5BRPRV/hNuaGGUIwnE1bGn/Uv6YfVIftofbWa0IubBd2f 3dJ9HFs2xdFayBR6zYQeF9LHGPpIkVVkOAmRsTbms16KbvUr3RAoV84ISOdf507GBuFV/UoddV2U 9We/K12ThnS960mfQ8xwxNp8fsN7abtoZ/XHg2GDQ+Xu8Kee+5utm05ilTJX3X82Pt1uELKWDLV3 tUeIEazNyCYyCg7gCxo0I0b9CAPDocMKGvBXMu06hU3cMjZ+IpGlXWdnJ01EpkgibXAa/IgTe2EV /PTTT+k//+f/TH/3d38n58lNj023kMUERrgXNnJ0KnREwSv0oogV0YmJXxH1DXp0dn5EZ2dHTLge PXrIGQXmixm9Q6YIHO1+dsrHir27vKaPf/oT4yiZeJjqkmrESt0fQuiS0yHFxeksiKmOKaABJM9r homIum3j5JvXFl5tA7oTrbmuVUS76oiLGf5kcEPHq5Z+WE7pej2h2xZHgt3Sh+tLmo4nNB4d0u3t Wxpg0VUMDDonUWeXtjjrTxk1kF7Wp1oZEuJbIzT5GKhTrJ3ClIt9ldFNNr3fvOkzPLJaqLQ6kxyA mGH1PTo+p9nsinobMar4NVTOp9UvzI4VOsmQ5sQ2VXxvKqi068olHQUjlhQz1uEMX7b/yjoS5UlU IwTLojLOcGo2KZqLVntEykDXJ4elSHyhH3apFwRtMZ9xDjh/NVq4JqaLnQub2qfRxSkpz569pH/6 p/9On332a/p3/+5/o3v3JIZKrX021ZXNGGUu1+VIQLLHeCDkyPWIhhwy8gvg4BBHiUvtV9e3fDgC Dj94d3nF34EI/vTFN+xL8+jxw7hgvC7Ci2nx2DImZN6i5jmjXDJmZqAtxN+2pcnkiHUcHLYRj1s3 JpAsr7gZ8/CXEi0kui09uovdQWTRiEXG6Zw2G7rXLNjp9LvllC7bIV1upvRmvaFmuaBmMqLDI5xy 85ZVAnrsfapf8Ms1Vaz++Zf2VzMS5EQ73/waAxfEidIKvheiKomVhKK9Q8ZcZPKAqyw7H/cJbkCI 3+Q3gkc/9IBMMvtA8bqmnAgU25G2K6KaZA3U2loin43bo/ZeGQrj31NfQlG2p4p/lIaICdwRdyad d0njrY861hn1VlJmn70LPFPD4RG4vJVd0T+CgRl5uaP3PKMBMptMj1hHiHIkRxscpqPDplJA5WDB RB8XBnFe7//6X3/HCcv+8R//kf7tv/1faQCXdqdL2bpIVM5WUBL0ZF0L3u7nUDmFw1G3Qj0mSjit hWO/3l5yfqiLe+f0/XffMzJEGAV8uJAZVcT4oP9ITsJVpX+6Sf1iibnDqiJOGEOOwZKNx3GUVWSS Lc38RF43Fulzej+0z8cfMgcL7dAalYvShk4HS7pcN3S7HtBtO6BnNGVD7YPFHU0mBzQeH7F4MxyN o+tHaSG1+s2KmaKBkvOXKKx2qd7Kr4sSWRrCYP3LpmV9VooDuq68DfYWQtDeLFpO84OsGY8mokjH fdxDbjZ8DmGrfA03a5oucUjHiBE+z3cSSOwQUTYa2oZSHE77qmtiw1Z83WtCSLUspElC/ji0DVEp U84/H1Bi0HHy6QKBMC1CkgDE4YJA40KIF9qOQPujgekwc1SPMt4tV3wAy8VkFAPzoT9GYs5VKIPJ Q9hPcpaB6ElVs9IPqighpqH0wHiBXJHJdnZ3TePpoYao2cEFsTmVxQbR6vvvn7IVES4Fv/nNZ2yl i7l5isnPF2uahDklAPK8X6Cmp9jH38Rhuh4Q15QP6YTFEqcMQ7+FqPpnz54z+vr883/ktn/66c/Z qqge1BHms2SlSMicSmPWhcqSyzejpCYWMXA+v405v8r2p4Q4Vzr75xPuGgmtlqGGDBONot4pHNG1 8USrt6DrfsNe8TfrAT1fTWjUuyG6u6bJ9IQhOVICW060PPWMtS1f0N0iSp2IJOZrxjOG9G1cut/X MWP/rCQ2s4b+HBF3uiTEZCL7LeJRkWUEuceApFh9wYnjEO2BjBl8XLDNAc4uaPu0nM/o4OCY3t7d 0PVixYeGCCIgCRtjPbHUyGYCx7w0p5USJO03+oPMIgjcx99lIDSyHo0Eog78hmlCFhKUjcD41yBe bj0x8QkqGyXto8GATnBcvCIl6JcQcrTa0Ov1mg4adtZk9KSJOqEzxHF3M0SfoI0bohEDXaR8Qp45 IXwgaGjPAac/l/Tjon6SfoJIItMw685BfPFeyG+3RuYWTha45JOK8BcuThKwl0y+uhzYhEIUXMxX nKLk3r177Af1wQePdiOq4l4appPqA/ReLZtljUB1c1AVhfqTESuPwQ2QBBAXDAUofzabC9RdB78z KMJBpBxHUDFK03uY6LBbzOAc6W3LytiWFgmx2q538PF5++opFGqVjEd+SsU6lHfYX9Fxf0mztSyB +bpPz1ZTGvdvqD+/pcnkkO7uRJfQ52yrzo4QUU83Utl1eYugkhsptxZj1l12QiiDS2kumtff3XCC RD2xG5tUxL0+h6EJQjK5QZmWqHn8XPY5FhduK/gdZ1I2/TVntsAuAsEAMblawWE3gIEwmAjdRWic EJwVZ7gFwTSpwQL5RRztBfxv6wObHsQWedpQDtqP++gD+pRIAcFQoAxa8qkFEdCNNQhUvwH6QjA9 oiPQD/sd7yCcD+OH+lAP2jAMxA7PIAUTsgnjZCn0/1AdsHs9zpqCf0BVSJ+EN1YcDyvne2JMkC5q CDcrJAkIhkCsxSyBn4f/cuoNx059/4y+//4HRgxIFfvhhx+48Jt9FpdyTy/SecKVLkDTYdVEga46 XanuBA/4lDVNjzbIN/UQ/jJ3LBrCyRRHkwFJQTENkQIe+yBiKlJ5/ZD+UY5tCFAVk2lwtOrElgs5 x88rr/1znghquQr/4/MZsfI+Mv6ePmoWPbUqKhy38YOocDpYcDoaCApIX/NiOaTvl1N6srmj/hL5 +I/YsmlzY+/nxEqj/LehTn9fvO2V+6exje931cTn9PfUCiZEBGIQUvOAICCrK05vGkOEymJQ03r8 OLv1G+rE+oF/Wx8uIuEmNjqIB/6yeSBa6EFQ1rRs17QM4iOyjniCiDIxexD7QFQGUadqbeETabBm 4+lVcmn67nQ/5il76owAJATvg04M1yHVlEN/eANICmgIYh9EwCVpxhQ5FYv1fIi+6Muxd69woAxq 47CcNR1wTj20WxjNKpyug7qwo27YWr3hDDLjdskMFEH87IeVM29d9Fjkz54+pz/84XO+D7EKsVRw F6htvvpiyp/xcrqiIedhqwuLxzNtW023kypldbWmYlUYByayQIcgSpMJ8haJwpyVphyiJDo1BApz uIuGrcRyUyLKysMYnGltUJQKcRBKw0EzzrdUovvRNka9IXczJ+o5esrHN7+sDklPawhLyzsc4Fiy O2p74N44a7HPMYjw32p6t0zsoEOALoFbEyyRuR7LNnNKGHSR2zN2Eo+9VR4I0tWfbfcTsVKZiTJA GzUmHMjiClQFAgFigjxjURdUOQ8vv8o1iWwe4vU+Hh2wT5sojqVcSR9XMusWpzFxjnxBLUghVEk2 FPtHXk8YM+hq+VZuqVbICbojWp54hXbqvKA9Id9BcpYnUBJ+w8XxDRAhcZgKTr2C/ixkrFAijLBZ oEf8j8eaJJkmCJ4aA5CfjqlZQIaLFtmJEd9MBJPGYLWgYTNOD1K1gbENibzrFxfnnLQMxAoK7Dwt a01kSSe9XFS2uG2TxwlSxXyGILaLRTLohlAMpfiNhHE5OT0Ked3DcWY4SzHqe9SRDQrEVURpvs0S 1hOIVcwv5UN0pC4RNQeVdvqFpMTa8gd51wnrmT2v45VAyhKIOTSYYhe1TiL54ai3ooXwcc4/v2j7 9HI1oWl/RWfzWzqYHtNwNBGn1yJUK10zKVHKsjiEMKzuLFrb5nm3CJ5fOOgWJx7lEQu4VKmMjLNF UuiM6BYoO86BlhicevsDaldgdMGDO54kVFGLhBYN4tqqi/7dAchdw5KJgJX3cl2jtzhq35gYJkTW mDSDDCQ50OP81sSi9AL7BX5YrLMzggWiBJF21IO1FUR5EMfM68o1B5/oyKDr6hPA3aAFU93Q2/mC jiH20pbrxYtX9PLlq5AP6JCPmr8f3BiyYUg/79K3dLyrpun3v8JAJ+e3ef8hq8f0JCFtcwxEDg6R LjuCIE05Ugy8A0o/GeiQAkdzCLnQBT0gEhx3sZDj3Qvvtxj8bRw9LiS1LhWDbOhO0m5on5To6Uby f8tx9kGqrOtA4j8o3Zcjtho2vTUTrh+WhzTpXdJgLilqgLISrVBBrBTN6DbLCNaPmte07/GbR0Ou blxAT8jnBi7NymWvMw3jNwqiTH7VGGIuetszdSICHzj4F0l+dz+N+ZwY8ymJdMrUPEPo5T5ReQOr xCq/lxrVCj9I5peW6cT2lT5rrkj4PkQscmJEUMRm1mXWCWZjlwKLUL+6SgTkCMI4hHV2vub05o5g mbgAZTGUYN9+8y19++33TLAePnzAoiByUBWDm+suNE4pG7h8sqM7QoFe02O203fTX/yi0A6rrimX 3+1zSjB0wDjEjxEU/EP0MAq1DiJRHnReYm7XqHNBQ9lCABcKJmFPHFKE5P+y3SmOXToYOqkul5W/ CuVYrksyYikbNnVNGHFaoh69bRtabXp0PFjRRbOkL2dTmvfGNFxeMcFShWmqe9Mm2zmSgQ/EvA2p UlEBaNqHVJzrmGd2d5Cssjjj0fRBscIwjiJqwToFcS/2vuP0GB2bPHljSWG7CJUbh/6Aliy6jKhl Pyc5Aqt4LuoYS1G/eNa1F1d0IcmCv6X7Na5Q3kuNOt2M0U1YLKdf1Z/W60kIpM5T0cyUIEdwEW5h BrFGj4d9errQ9DKuceDer169pQUOa1i2HK8HcfDVq9f05u1buv/gYj922akDSO8rkrHf9oHEhiSs mnxB5KhGB0fe975Cls00iEuc2kbEPj3tA5YKQH6t2oLC5Tw23lAh7zX+v+TQBEFk0k+xgGqfPfGM FUf9VTehNZ2DH+cuAm5l2JFShsDE6tWyWDimJbU0okl/TafNkoY9OdVYeIDGYKZ15f5WquCPzfKk STkYV+/6E9ZePvO4x9anIGqw0hppj/ie08WF/2irkFn2HGc/Jhbo3VZWecacdaMKoWAg3e9DNwr9 FfKPiViozq/lu9ocna864Qr2vITQUhTbIgFw//XvJh8TlCbzVM5n/q6WbINtc57XVa6L2hgZA453 jaHFsgIIcmtlyHqx1lsJpVKkb4G/kuSqHjG6wkSqSGjPp8Oatrt7Yq3hpSLdFIulfiar0N22d7ms Xnc9xtmy7VGJO5NFJCl2QJwQyIkF2QyGbA2SgdSJWUcEhlKgbF+vJOWztc08er3vWTYwtQ7GeuL6 ivsqf94WhJYfvd0rY8l9BMqilg5pTjc0oiUc+1g5uqFpv6X+RszJkj4mba+2SfVkZr20TVpihXRj eCJlYEz6AMW4mPpl4UJhC2XtCSvJrXRfxsDFosV6K6cRp1fdWVf7mLe/WoJDiOJvhH3jzzTQlqa5 pWRPbkNGvl2b5Ak1jEUm4U5MDw/Ev35ebP2V4CGtv2T6VeKYoeZ036XGpfwqGZs9a7o0uRNcPGyj ovAfvn/KgbBw9Lq6uqJf/OJnHKcH3cfx0VEG2cva9+FmCRzncfFBvXq7PDKrrNP/ni6sVOHvuawj NAnRsXJy4oUiQIRwLZZ3MOAGL3D4Wi3DYZLhVBwsIHZ2E0dR01FlooBt0bjthODmfSq8gcIL9TGW KpwDSdyIzigQNrGifeitJrQKZyMO6N1qyH5Zoz4YRz/6qfHhuEwEVS1Q47S+LUZo60vCzXAiYkpZ EO2mA1ia1P+pfhkxyjl3GFdHzrUCbw1UBfEecsPOC2MDJ0d4vbOfFGfuLcVCM4SYtKDP2NqooBSy E5vUaldYkMPvkSgmx9fRDjReXqXIXotOKcvvvtK9WmXe+Wz2cD7pQERCXXizuzn98MMP9PTpMw5u fvLkJ3R6eswe43I0VEJHY7Ge2NQtPPK8wW5jPKrvsPfzHOvlhKp4kfowlff0/ZLIKjfPTzl2fVM4 6pgVnpPTltfsvQ70NRxOeFQgCqgrBCMStqKo6BiSIUZLSwhWjuNo6TPyfvvogBIFeM7rfkutDYW+ KYyKeOPjJGgg6GGPDlYtXbUNfbOY0AToiqGJECw4wPZ6K0cY0mytNcVwik7qIkK3yNajs2FuYa29 67taZrNIR7O8ukQXz9z2ufQdWIVXa4jUEt9aUuquOSzrKRFkLxK4dbbePVNTYmUMMl0HuZ6w7Oum wghq7c7ZRPpMDcmVukJJHQ4fT0bIfCSdzns6dkdwkdCbs7sF/e53v+fQlfv379HTpz/QvfsXnMkT 5+d1UeCSWFUgrJD8pFPSXTmY0Q/sdkWkDvy2k0moQ7Hqpz0EgAaUJXGBmqdL+ZtFtZt7gPiN4Qm2 /iFN9OKWSxyPpvx9uZoH3ZXUKboNC/PxEDmu5zCpQrzLjSaWE3yqZXM19xDdIClSs0VqIndIzcJG BORywknSfTrdLJlgQWR+MglWwZCmuj+yMTdiVHPyLTfGLsTddXUTtNo6yYPFPfoLGzOOSId0sEMM 9Ai5vG+fJa23nEdg8bLdffR7Ri2fqdLbRNZeJl46fB7v19Z82q/aGPlyQ7XuhPIUUaVEzqs4crEz XRueWMl9ME0cRPvs6TPek/D1PDk5cf0wFRG+crYGRg4hhOWPf/wj/ct/+df0r/7V39Hx8ZGCkALG dQ+Cmzx9JonI0YkJSIvnxOc8yhaJrzkmk7PLZPjd6EO5kPEPQyE6uFq/KtUxAErQICbrPVwgRLP5 Hb16+YaDqk9Ojmg8aagZyFjqMwmyS8y/xhe3crDYZzkKXMfCj5mKB7E/LmdVrkzWf9pHiK94Ytzf 0PFgTdNBS/cb5NGXd1q4cajjINw73Byo3sraaQtUd16JmOW5LoJWIoH8qq/BLgSRX930M0eF+Xtp uTXrpqIspKCGvpPj4ZDULvrjpZKGjIOU6a1tXkzyzAZXKerVr239TD97gVlRumMYTOJLlGwZG/Ix S5FeKjWl4zqfz+i//Jf/i26ur+mXn/6SU66/e/eOXrx4wcepDfoD+uabb3it/tVf/UZFQqLFfMFH dSE3O3yvlqtV0FsswxHt6dH1+1xGaFJouttvxH5T4hKhbyKDqwy/3ykqilbMDG6X009mSmRzvtQT k3WTaiQADuN48eIlnxj0yc8+YsRiZYoVUkJj6h7UpT4gXRwJty16ZARCE77Gx5PyfBnpBsft5WpN b2/ndHV3Qxf3TlwaHPbzCP0YcAoSGwNDbDof8ZCB0LRET5RISHViUkMx3hDSvQnrYmXa796ezNcT hsrm5j/WRq9SwLgxA4Co3YyD5VDSz8T+FaJ6xpgiQg6uKO4g4X6izKuhnLRfJRJabxE5a2Pn9o3/ NTm0xBO8/BnvzJoiUfxw+e6S2/Gzn/+cfvvb39Lt7Q396Ys/0ddffc1ZjT/99BcMoqA/vbh3IVZC fEGWTuSQevDwPn308RO2DkK2RJoH61zeqPqi853udehfUpicZkT0C9Q2hQ2tp9yaa8cvrkS/oXAi rl23SKIiTaGetiUsDPbWtk0pi0d9s1pqV3D7OOFjn+QIqBHrAQ8Pp7HtajWSqtPDBvznqrhR5G7P N14FkYWfC8LIBYdkd+F3xKDJcWo4hHVIl8sNffPiFd3eXtP4g2N6cBgSO7rZtFzcKSrV8Y7I1PXF CFre5rq+qIso1e7vFje7N1TZhrR9nbrUkiMk7zIah0sMDvlw6cZNf+jLz5i4Q/DpHJr7URTHg3+g vV7usW7k7o67i1WXkSg5s0nQvD6Y9Mq1OCCrlPnbc/iEU4iwBl88f07Pnz1jdPXFF19ycgKAJqw1 IC0gL9CpBgsMJ9pC5n7w8AFNxuAKttFYpOFBrE2wNbbq1FhQ56AnclxDO1ZbVNpJRQ4pRE6DjVMF rNXH9Mpvcd/2cD5aPtlJdq8QNiOioA142wriOD4+4OPNWMRipbwepqnv6jiWCuRC/M3MwbqgFOEZ dy25qs/OGrdoEprjFkogHBwWwroseLcTTYYDOpmO6fRgSu/mK7p/GALcg14m9qniw1PMuwu89nNU e873v0s8rD2/n26sq401FOVRbP5ejUmUv+tYY644uwDEQiBTHFUXguCrdVWYt78isd+4uSyeq41z jQBnKZM7xz4ve5vInNeZ6mwtf1zKpA4OD+jXn/2adVg4TObg8JA++vhDzmN3cHBIDx89pNVySfPF gt2qGiS6e/v2HTuITsKBDZpDJ03n23Xts2gCoWFiJeEvpSXJD1SdC3vq7z94HYqKYbFcMypmylEl Ch6VyLvcfzfYUfzphVOF+n26uoasfUVHhwf8DzpATtKX6J7scNGIDmM7crSZWlRSETUEnXLkfN0o YWX6eArbQJ7DCeILh+SGssYDnBy9oOeXN3S3WNLVuE8/v5jKfHFWgFZS/3IubmmnOsKW85aiwBqH LZGVjNsuvcy233frvuKTWXvz3/ZZ03m9aQJIOBpzvOpgyHoYtiJ7MTvpj9RbguK8HRtrWZhjdXN4 3/Z2qSd21Z/Sg5qE5VNjmzpDQUHKcCTZJI7qu7iAQzqxlAI3KqS0gmoFkh7AFCvckQ8LifmQghRH aA0k7Dt2She8mUtTGdw3snuRZMQj5BBKBI3asfLBwTPQiRhwnOec921IB8S1x21mNQybPi0gBi92 upxFgjADEmGltuRcmkwm9O0339PV5RUHhQOdnp+fVkUh20jyHyUCaV+VONaOeV9X8uWn45fD90hw /UzE18LmUFEN5mScZzju08/undC72ZLuH0sWUilXXBvgDNlrrX5Dpmmaa21Lvg52MT8v9tu9fNzj o7sAACAASURBVJ67N1F9Exoa9XOSf04vL3qXaz1+qrpv2G9YL/gnkRJ1CSRlcHkft4xZL6xpPR+w g/FXiV62PtPPUucu5JuXqX2JKo7wH21bfKJCJLF/QJjsd1tb6B0ABO4j+qa5u73lzSYvpBssBgmH 8fEy+D6cjp/l1CYi09mhieafpATJOIw12MShcACEM93n6VdKfUPSojgQkh7WTVR17F0AcmijpGgJ oh0SpQ0bpvxDzii6pOVi6Zz6wvNRLHKOilFp62GzirPpCSWwMInS24l1gZHUmaNf/KmvmXVO0p6E leTGb80pQw6GA85FBH8zRWt83iHmSxIsBfHUlZojX3ffE+vuNm+/uspP+9yFrrru7yagtbq6FPE5 etQGs9MtW5oREL1yqoGcwXZddRSz/SqJzv7v1sTRLjEwHfsuUVZpq60Hz1iV7sbNHqUdkA2EBd7c yjkNK5zVAKUXHEM9bE9RkXdwrCk+00b7CWTHxGAdU12YkjwvInjRy8v4ct+LpzoC+UB6HZYhtdCT hGLbc6nY4suOBoYoXqZ6LFyL+ZzFaAnDGPCp1wqOlFjpFc9r1IkJRVsSu3Qz4pakafZJ7kxkcGwj 4ZhSjjs/sVDWp93l+cC06IEE/B6shTP6ktb0q4sHgp34KHK47KXIzuYgvZeKHPUNuZ/+KX+nuJN1 6H2uGhLL7/sKS91SqsfN2yrMig1X/YYthwjvSii998Xbq4294vltks0u8S0lvj92LHs7fNTydWji v9fXKG4HvYAxCzoreC4woWLlO46eG1EDMUb1JPtT/W0dDt+CrkQnLgYYF96vaQyaElkrJ322znH8 praNVPDUTBlZmJUVWxXiqVWJP9c3d/T82QuWsyFzn52fsvLQIybrq4VPWE7tcAZdQqy8OGEJDbUX Xt/kjQupBVFRqUerOeLTE39tDtlXKOQLH4+GdDCC/1DDQccI7UbKlNFwKodDJCFGVvcOdYib620b dP9r33K2izNda6koZU99T1keW2GBXiFOF1lp9XOZFbW7nb1OJpCWGT51uJJsF7MrJRYIsu56UrZ/ OzoUPolY3RUtQKQWQqCQLQY/Qo8Ff1BINKPxiJoxFO2dh07WOEr6ORkQXczJRutLvvTgsVp2Mk13 sn1xuQo1di/h8LaJ8wUdlX9B6a/1ef2BIcxUkZ87683ZUHHJp07/9JOfsv8VclGbgju8GxLI+XKr HChbhIro4niGI5Ts/SSxejFHhQI+pkhGWls9UUeRZBhLpPgNfqcXRwes4LxbIoGjEHAghPniLoiU dnBJakCwPtT6a0ha+5zNbaf4Vl4pI/uxlx/3/LO2y/I/7cPMk60apwARBYKyOLYwHFlV7rUuxNbr JAy9vVQzpQTU3er0/XrZBm5KV4iUWLkt5taEHNAChg+RD+oU6Kf4cFXklG8a3lM4BBlESizvYihq CjGqkjI5rSwlbonVB3/5qHPZbElKk02tw14EfQ8xQfNM8XFAwccpQu0clqbcIB5TH8RN2c/Wnhxl xvMWw6YGRMXAHh0dMro6mE7FZIvJw2SF8lh3F+sTXZ4oowIxysJs8vZEy6EjCub0l45TPme5AYMT EAadoZvqJGEiiy+bNd3OF3R1BwjeozcHPTo47tN4KIHenIFVHk5QVY4OFNF1ixkll61ZcPMNs48V cBvq333lm7pE4eXlUEtYJ17fCK93Oe5NjBZwIkX6ou42/9hrUyU8dZ1eLSSnfnnJx8rU+jxw2T5O eA5ECtEiIFJe3OPMxs2ApgcHbMxClhh1uZHtYH2Lp+ak5tE8hKTalbixvfOmlSBHV3tro4ypCl7p sfF1paivyyMfqdtyqls8Yp2TeNHFcyudFNuAcVMERMI9CXotEIxXr97Qu3fXPPAPHtyj4+ND8+7m 8TCPdrUM8T0+6iFN9leb1KiYD11mdBa6UCiu+bMuphKGg7O3cYw0OjIjFoFosYoR/bu6ofm6R6eH h7RmZTsMC4e0XM75eUn5XBIcdkrNYs5SPda+YlX+fZcVMN3whnLLMC7tcU0kS3+vvaN1Rb5TvGf7 WPeUMNc1iVg4bJAnq5zILnFy+9Xb+UTd0tclutXft2bWni/n1Us2qhYyIgUktaDlaknrVnwWpwdT dqdCaJsmWLC2l3WG4Gczj/oXUg6aijamN5LBU6if62BlEpXj6LNGfFJOvPvigcexTMGR0af8TRGb H8TMw7aozhM7W4p+gmXwN/Ts2Qt69OgxZ7UAbG2GTWbiF7RixBgpaJBeOVhIVTQNgdTirmEbMer6 9KROofpxjixG0JxCldB6UUsi4AGx9TgnwOrgGhE2VRyG8B5OcLmZL/go8WdvL+mnF8dyThwyEMyW 8RCKXNQ23aNLU51w3Xycdaxs3sxVQ5+pM58aenIzlj3XhSRyZli/0ubnwdTVN9x7nkBIfn+sBaRP ZsshWwtrTLXWju0B/nLtywyCKLen/5Yxwwrxq1h+1ZoOnSiIFNQn8/mc/0EchlX9+PiYzwMFkVLh KwVItT7JWDVyHHyts+rHY+KQcVAlXpIFUBXrUUQMOaHzylKoTalC2j1ZiDzGv0I+8wC3g8WtzvF1 cK0NuqnVcVLbE7ZXHCyD9NJ/PmklWC3gbfvs2Q8cUqAZG5K2ex+z4DiqRDUip2IzWAEyea4fWADB U1hExDAvnNBS3UUk95aOKY4Ah36A09kGHyBpDg7eCN5cAZ35hXE8aejvfvqAbhctPbtd0c3dDQ0v LhhdseK4VzsCwDaljl86534W4/a149Hk8Kfwf8sOYPqRZBGEzy4dDzIKcLTClu2Xg6jAVFwC5aKd 9tmLUKFPsWteV6rEqoYAZW+w5/twTLPZFWdxSMcrfydfj1u6t1PX5D/7NV97rlaG9s8DlLAWpZE8 BoykFguazWYcWjObz5hZQ3VyfAIiNWE0JZKHuEwZsdqlEgoiYc1aEBcKp8a1F5QKpkTLBsQ4bL2y QuxyKWSdmJo8GzvilczFgZa5DG1Q1RC4bFrNolAQxQpyVPgOheAXf/yKs7B+8sknfDYjTg+CnK3p g60DDqGGfshzEsoDj3HPrUXH5ci0Gwh1gRCUlqZyFu5WKoSxaFRM17i/GGoFy0ugqZ5eqe4Mz58f jOjD8yFN5xO6t3lH4+GIbm/eBl8iI8Z1A4yfj65cVhqHFiyq4eDUuOlin9MEe6XUFuY4LHsxbnjn TLegKvtADxLBwVqmEvCpVKycdCPZIQmp+4ZfSznTDOcHhrxiOnf76JHKNm061n317eq9usJ/Wxkp Y4t6XT5ZSvRSOO8T4TSMpNqW9VDnZ6c0mULkm2S0xNRAJhnYeNd0strewDLTxaeECFqXWl/SAdx3 8Pz77kgru9uBlByh6oTe9kiqS0vLTCfcB0V7QpxhvU2PlosV57QHd/j666/p/OKczs5OoktNPvnx ezj6Wz6GsWSXAz92aX0RZ0TP6BAaAzTFwa6q18r7ZeMqaEyIlTIZcHcsJOgJ1KtfTwBGH1HCu7sV /cOXL+jnjx/Q8OCQTg9GIQBcfM10TmqLXReZEsfuuc8YwlbOmjoQ18urjHunvsXaG8vncwEDA9jI mKX6sPJdz3RjI6Khw2LoEkoZ8o9p+mQQrzzLbj5Oqb61bENtTFKrXZ3I5QQ4lX5q45Xty/WGFnDo vLnlf0BTKBNECr6JCP4HqsJBLFIXPP6Dw7IL1fLDl7alS3UQdVhph7387TdwLhamA2z6jL0VgT5n c/BRivfdU/ngSv3YnOEgBfFuLHy49J19uElqjnUt7Pfo8GhKf/VXn9Hz56/YleGDxw85jMnS0+Yc 1g2409cp0kvXui4oS9mswpMiJWmJ6NAYNfkDSoNikzdRMD6Y35uUBGIFL2H+DdAUYjHQVggFQkkg NEj0D5r4u29e0CcXdzT69AOaza9D7WbpLRGFIhRNgpjq5ayvOoe+71aeZzSGLGoLunse67+lqNW3 TZFwRGlRRZGnLOp2IUjTeSsDTZPV8dww41hyeu3Z7JoGDaIJuq8uIwMur9juuvYjTF3jWBI4ICmc +QAkhdPTURbQ0717FyzuQZ8rzDLFF3jdGJ73zfS0RuqM+yE20+YLRL6pLyxLLlZywnTi/YDkY5dj hwJqx6dq3M/uJCTOKdiFYKBdeTI7/exDXyqcqbDYpfoTBjUcjtOjkxNkZThiuRwKQ1UW+mIKrpr0 wgicEFqT471+x8QYPWYshDfl5XqxKOgTTEw0LoUUyNC/QSxVC58lPZS6RBfY5yPGR6Mx+159+/ot bXpPWH+FjRXdMzKOna4f/C1T4HrDgEdonQQgObggXQHb9S1dVzexkhJ15APB9/NQfK6UXqRlriNQ 3BYnXJyNsK3EH9PHbVetrHzPlc+A+YDR3d4KgcI6gi4TROr+/QtxP2jgX6aMMq1R098o4i/n2iSb qlXSZQZRMFI9SDWHlVqY//7+V90/Sj9vx2W+3jrk9RayVCbOWoHNWiSfy0UA+R3IBKjq7Zs3krr1 +CDmutL6azpAKcuQVn1j+sUtC9QCZNNnoSdgtJX5USXKX37NnGLxI3x+FvMZOyzin/ZRJFO/uvr0 /HpBv//hkttw1AzoZ+f3aYOUKEG0VLRtRNmIpdZnXL8Y9QoKtTG08UrvlVeJ7BLEvmd8q7XJoUPJ 9tVZ/j7rvkTyaQ4rNTJh03OSP03f9P8rsapdm857RqRmLE3AVwqdgEXv7OyMRqOGkRQckKMxqXCZ CJ+Sw4w1GWTNkbocN0UWBkCE2fMqzie53Ij+fpc+IeeERfO3wtGEMMZKsnTGFUuMysjiiFnn1smX SKh8u0qxU5XQw6ahm5s7ev36DT179pR+89tfx65yUHB4x/QeOk5puIVOak1ZXYxknCQQHSRR9MrJ 2tgZOlNOjnQmMCsDVYk1U5Xa1k21AM9aomfXS3p2NaMHxwd0NhnQbx6f84lAYoHUfqToqVwhqUHG 2lcSgvqVI959V1nKVIt3qroyuHpYnbl/WkLPtxCr7Xq4bJ2FYlgshLVwfkP9vhcLd7Ht8tpGpLdf 5oiM12EBv7u7o/l8wbpOlImECCcnoo8CkYK7S35yuFw15JR/DgQtIVZd7Q7GFGXGzqE6Kt13+WWk FDG/V3KhbgVo3Fqd9ZUoo8ahVUEu1h571+owvVs+gDl6TEoOr655QcMDV5zf4Pzn4A37R8nLKZcv uhp1TqaTqXFRnz9ILosYUCV6KoYmfClmlZCTcDRpIBaaT+fjh5bFXurT1WJD10tJ4Dfqb+ij0wln bYAIIBY7P6Yp2s3nJP3erSxPep45mBblJiKzgkpFMD4+z4+rnkgep8mRJkVVtWsXcyxan3jllwTV jwfairi5BZ+mDT1W7elt49bLFOmda6/STk/YwQRn8znN7mbM2MAYcYFIwbiEv3DsZJGPvYrr7Ujn vBsBG9jJwULnYEUbcIyDFT+s7hSm2rldcLjUgdmuSE2UHnOVcr6JGkUNeV8yL/W07HTzu0Rzmjso Tlxej92A49scviSzOd27uOCYJni1m+jpMynU+gGjXvD30tCc0CgTWXVz+sUUPoVFFRXlsd0qd9lr UbxlwroSdDgYhCOTLHuD+JSJ1z2+rahPb2Yb+uL1LT19d0PH44YeHY7oZJzrG2oiYHmljMsWZqqb CLSkIhZqG3XNsN4rclqv6UtPio4EzKHzKJJEEcPPkp+nen/2Wfc6X77v3dvQ6hInUvGfq4mFfuhr +7ET3xaEwJ7Fe6iL/aNmM86IoGExWCdQmo/GIFQNx/JxaMyWq7Sk7nOV5DzXa6fgI0hZgVhhnDif b86bao3bTbTU5O0bV7PwpCJRitJqmz9pSXi2pOr5+13iE8chJs8bAfAbDtD49et3/Hc4gnfuESfo M5k8tW74foisrsREiDMIRcrTO2BzAAbpCZAZGtW2KvFzOcPEIiNJB/OkcerGoA2bbQb0ctbSm7sl zZdLmgwG9PBoRAgmEdFy25hmFt+qjkhRitESsQwnThnJW6z4zpSxNl/puCU1KoUKf+sYLb9cWRUx JTcoGDretifqEkX+m4qFCxwTFzPwdpe1Ha1usr1lew+SAZAyPM4lIwKCjOEP1rCo5/9JNEbaZrXI 5+P1vleNsNX1vylKVtQq1u2gw8oLrVsOS7GvJFZ5R30j/N/k7R3ft2+GssPdV6kgtDPfjDvJwEDZ CB8T3Ac8BsHChNYOgvRWwhjfmBwZFmXDbJNUxFFedxKsLFy4xknTvkomVHF/h7tFRGQuOWAkolyH 3LtdbGix7tHxeEjUDvmU5QNkZ+CMDCGZIKcd9YioPs4lEhArrXXcEXfvlpGOZLXcH2/o+Utd3Sis XItdxMp+hpf7ajmnyfSI5vObavk4/gouBLgQaM/Ol3ylTBLrEfpVOGxyKpajI9ZZSsK7JV3f3HBW 3EPEhnK4zIIZ2dn5fc70yX55nQcKb0d0f/bldarFT8HqjS8xY6taCbcqFWviV1nvdm7bVXYOzU1v 0KUX89bApHNV7UEZmKmEyrdXpDU7rLHV7IYMjRsOx4EJV72yfZu1SD62PvqYiEI+15cZwdRx9QvE iCkClr2oUIjPSZaJrK9RF5SiPbYyclYJJRk9TpI2W6xpOuzT+dmUTscDGvrIIqSj6cE7vzwOXcdT 15wp9D13LEOApHkq3HmxQk7NrtVTswqXOqv9ri6k8uMU11xix/16edo/PnGbUbCcqOPLAhL65ptv 6eWLl3RyekLr9QNGRrMZXGomPE4gRHgeZ2H+/ne/Z2aKVOcfPnnCrilXV1e8fvSMv7/927/le2/f vmEi9fFPP6ocarLNoPbnK/8TvZeK7Yn862mRLiylCzLfjaXQ1UaXiEc45XbdRRcisw6XxGRbedrB vMPZk3uIkamuxFCHh/pANLZxYNJ98+YdE42joyPmbqo0V4Kkehpc7EW+kkT5ctrvtlOG8k1s7Wai x//ECxqmY55W6LKCk51fGInu0ekiUz2A5SAzmtKn2XJNy5ZoDrN1f00fn0/o/sEgoDuHiIMiSYhS fQ5i3fpgxoy07+k4SG77eOCJIq8i5MvmsNwQ3fNd2zspg9yP2HUxSV9mt4GpeDo+twluJ00z5kyk HFsYfobf05d/+pIR0U+e/ITXxPfff0/ff/c9M08ED3/11df8+69//Sv6p3/67/TZZ5/R2zfvOI8Z UBTOycQZo3j3zZs3tFwt6PPPP2eihTLUKGPD/OMI9i6LX005r2KejYlKNu736NQsvpZ6Nfkiyuv1 JvZt3K+roR3d1Lez7/79svxS5vUxeemA5PXZz2GzuDAePug0mHI1NTEc5XAWGj4/evwgSRuTioA4 n1B8VVTJHccyqc/HnnmirDGOQWEekBWU5vy8WkgC97H33ChmaaZtLs2ZVJGbeMoTfX85p6t2QEeT Ed3c3tDr2zk9OMRJ3z1qNys54RkwPARM5+gpRcNWd0KG2fk21QnFudpIfJ0eLGJ5yupqiUJ0dnXU Cdlmx8bqJkD1NVS/9kdmxiBZ5B70abm4o/HkkBaLOyZY+gTEOzx3fnFGDx48oKura0ZbL168oO++ +55+8Yuf80lXQFz379/jdxBcjCPfZ7M7DiP79ttv2do3mUxZPHz+7DkTrA9+8oFDzHta7H4EkvXj U9UPJmXWxtzCpLzxJnq6G9EqK+xuSGGc2XmV7gy2oVPriDQyPpWlLamjsJSDejEMV0xlE7NKmOe1 fl+uoJAc0sXFOUNmLBoEyuqGNJQWDolcy4nQnBVB0WpMU+wmIg6vEVkNTeA0uuH4LIigesq2z/me euU7K5nqpWJ/deMLWhOCHLz2kZKHXRl69Op2Tk9vQGj7hPNSHxzLqUkcWtPvU7tCCMmEZnfXQriq 4+xhZKH9SPWCxcnQlserdkhvVLjvEDXy3+qia4kKbW7ep7zQpuIYk8p4ZO/k92BcAOo5GJwmiS5R P/RNcNR8/eoVEx4QpmfPnvN7EPuw3h4+fMinJB8cHLBD56OHD5lgIdgY+lYQOvzDGoCuCnUcHsLx +YBGfMBIuY+2AYz8dy+t7LrSZ7qIn6Fe3Rde9Ncymq6wgi53BM9ZfWUmdvgwmNSSFpsbLQ95eo5U p1N2OkdYpdggz6Zttc/O2zg6Y2qoihSJXO0QB8/Pz+njjz+ig8OJeMeHTAX+bDledlDEJweLmgiE y5TwKcE1IhoQGkm8leihRJGuITmc1jg0sAiYdSl6YgqaQAyiSwPXFfRiXAfRcNCjIRxjkYa2v+GU MhuIhEGXtFjM6OBQRAeOgytQVrpmUuivn8vNYNzSrSEXzL1dtbAf199Pl5KWY/PThSS0L36T1omj ice79DrwyVpyMDSyucqW6NF0MqXf/OYzJlZXl9eslvjZzz5h1H9ycsIina7bk9NjPogUfz/+6EM6 OT2l3odP6OXLl3QIBXwzYIvgBx88oscffMBZPyBm7jKqlUaU7d+rI7bzmXKcIlJ3UoOXoopsDVZZ er9g9HteNVEtNi6WmxdqCMJEKC/ydNWTbpqcKwjSSam2bnZYVrA4cGTXdDLhE7Dxm3pDa+yfIpfY AUeAvKuDtBlOnBLeIn4ttjlwAfFwIkImNkKs8JvmX9eUKTY85nwXeuSOQKsdTovnB86jWZ4Hif3p vRN6M7+k51c39OsHx/T4ZBqRpBoQ2MsdRC8nU4lflRfPjBhockJtZ74GZI5AIFtJLZ0cA+Xn1ep4 Hz1Jfu1GEqUYWa8zcyLrIprycrU8rgn6TuibFjMajSZ0e3tJCImFBA4FO8b+3r0H7NQJ48/Z2Tmj I1a661oK7fjbv/2fuWwwWd0DIE7a348++pj//pt/87/siajcqFRiht9HPFQFezIu+pvuV0cHdP2k kp+NXXRrMNSjvypnlkvShqi+wia37EyqDDbiEDahipJSaGisKoYdVHcBv8p5kq4mmS9lEJONGgZB CYe2W9uguZ0kPlPEOSArONbBSXS+nNP9w3MpOh74Yzoojxg1bYYRQdGFwdqjY5eOsxEaFf8EWfUS UVN/80hU+6QzzxZFECx2ufCuDA6x8NoOBB3j2ke63iF99PgDevBoQI9GKxoNFsEiI6MO5AeP7PH4 gObzW9qEtDS+D/I5Fd90PtKFZvOWLmRMrBLqrk3giZUSfB/gXmFK73X58rcxQ2c8kHTjP/4K8wei tFzNQ1I/hMbMYpCxOHNO6ez8jHVREOs2ufrGoZG0vVKJJ+RdRN0jqprY1zVe269sLBODSVm/0n8P OrRNebmNpGu1BRA3dvgiffcm+i750wZEEECul3DWseAciX2cJtRz0fxxRQaRIcl6quXJZwE8qR4s llqczGsTzc6VGwR7AuWokrhlLgZlJqOpmORN1V96ArMQAR+Jzh7MQW/UrsRRVEUwHVyzqDkxMo53 UOzjfxoBH2O+dNMYUVixV7vo0NhwEDKpFgstiLFKvPHcEqEZa0nxMenreEsYBMqAmHJ3e0lHxxes FBYGZuvAmBGlmzmcIxnnMLHG2vPxXm01daKlFGm9D7F6X2X6tnfSr+me2E9U6nEoDJySb29uaD5/ wYp2zAUOYjg9PZF0LY0cueDVCZuKHsk+5/XUAu9L1YpX53T3/f2QVaq77HoiENNIK7p0YmFtaQK/ 2jOKUAJadzJ8LhJ4hbIsaK+gxiWxQK7sqHj1Odg1qZ9X6Jtolw6etcejKDuJJgqUCefkzyGpniIa vAPfFGRMxO8XFxd0dHzIuh3VV8BlgRrJcioHSoSspyGjpyrONc/8IBBXJbJepu3KoWV9CcQx9lms h5rqWAg06loGr3YJwUnHxxCP6jok02mYow3Rct2ndtOjg96aDgYSj6luFagDdaEOj7JMj1XOge9D MtfVvtbFL5v7lAD4tZSsgQJZeKaZ59KqK9Trm/p9rhJ1btvcQN3XVzd0dX3NjBJtBHFScc8yIfh0 PvX2bjrbvI2AGtPYJkKn75b1bB07JzLbM4b8PAPO21tfF1YWuzUklFoV3xp3F3LS+BczfXtnZ7Zd XnncBWmTMXAiiB8I+Ww6N7lnUei5kUDe00MipO+Xl1e8kOBvxZHq6zUNh3I8E6e25Xstrd07/p+I T8uIduyZ+tgEjBzH2awjqbMpiAc8ouFXM54cpATMpSxGm+VQAzOgmD5MlProhyb4W/cGdL1u2PJ3 2LQ0DKgomcygV5vPbmh6cGIW0B0m8IRoFsSq+92cMOVz7BoWT+ixOnzdZZqbGqOriR67EVu3yNhF rFS8x9/FckHv3l3S7G4ulsDTMY04wFgQsqkArFs50S2vfZFP2Zdt5aZ9NwCQGig6EGXHOY66R629 hqx2tzuE5qQLQj0E3YO93GvZT1BFX1KFmKnfU9IYLsYHBYdKKwvH12udsQmWpvpkd/XF72VlRlBt G8MgkD3x+ORIOxoNY8i2yJkPbOyCCCXIysQ/zeOTUnZtqUH3OtfS30GUFvM557PqN3LIhPZDiSLE NNaT8XtY9No/06XJyTmwNAZRvUf0rm3oej2kcX9Dh4yubGH56QGBA7EG0RyOpiwaqp9YPje1q4aK aly9i8HVn5UJUMMA3EDS901krTethojKvryPUjrWGnLqz+aI3ZuF/PpikcZvYGr4DJFPQ71iksbN bkK0KQj4/mJala68N7L04v02I0gJMH5cVlXb9zqfST6sOMl+0Raco9R3KUooB75ETvZ7IG5AQ46Q pATJv5s+E/8q5Y8R+t1U2w8OLDFv3rzlOC0QHCg44WAHqwwCQW3Ra/ZRcxyNEDWmvSDqxVzpQWyK UDAQvgiH1VKUQmIrVxCbECtxIESohaIvJUpysKkd4BCnwSn+9VJ3B/VDu10PaLHp00l/RdO+leGh N/7144nPMzo4OJGTi4PerNw4OqclodkPcadK4dpCTlRiif6sKG2nUnybKLhLVPL1SMI7ObkYeihN 1cJz0peTnZgw9XocRA83A7gp4K8vJycA0teS0G86xLR6P7rR2Y8nVrXLA4caIt5eX7eOX78CMgAA IABJREFUzdx4dL4SK6H89aJUKiJoIR4haMjINkVkVyMVcVSf1dQgnZzSatIX/OGt3vk/FqhELSiX obeCVQb6Ku3LZDq2Uh0hF2/4NcP3RPkdQgi0T6KKj3KrQb/scIsI1aL4KGWAeOKoJHBjjQ+DRU/G KeiwkJsL+rKYG9vqF2W3WXtjltIc1UH/1YONLiWacfEo6uWQERxgAfP6KJ6v1+MjvwKTCor6aMyo XF7vYkaT8tkukSxH7yY+7ktcyqt7w27fyEBOkvlAjn7j1MHBqgtF+eHhmImTthEMQ+MkscbswNBd e6S7rb2dWXrNMbde9mYnGu5uV03ErpfbXZ+u11QFZIQ6NbTp70ywCrEwJ1RFI3L51uuWjNOXz2uj sOANsVXrdQNt7duiXwhEQfalOTmqDgGf3727YnEPea5evnrNiwsLDgsIpmMo2w8PphnXVgW9pCoe sO+QH56wyUXZl6ptPMqqXkawos5qtWQnQlGmI/hazf4u5IcV/6qg94YLJccl4YjoE9kneghq3lAL 0TOg6FzcZz8sVtDL8WTwyh6PpmyKR/sSK1Bn+paiBcWi3PeqbbA/T1m+q760bjASBMQvQahwgvFy wcYYECPM0Xg8pDG7H4zYUdPaXMZ3hh742n4U4e3tJK152Xk9Rhj+POSVo749VoPn25UyPVPz4n41 p3v5/rYGOD1NR94c44r2DnPa6IJfL1NBQVf11plcdyNl4D0sMqQ4xi0EhErSsg29eP6CjyRCjit8 h6cwDpeIYTuhHXawp+tMbrVK5HVPgONLycSmC8TGDuIWEAysRCJGBGdQTvciSJMRjiIn3bguJiwa A4oULuqi0qNxH4eibuCyyUSrydxFYttD3dyGdcsHUgBlCRNo42GgJp5bXaavLEN09rNa1UQ92i0G uUF9n41Xip+SZRbi3dKJe+qGo0nvEEIDQgURzzMPO9E8XeOJIuAvQnA3vue+R+73bB1UD4Rwb+5o V/l76FUn3c2JppUjd2yscvCUS27VU3M6mllWVLWi1CBiKuOW7wVkUBmjEq2l4kVtwnyiOuh5EDx6 eXXNohVish48uM8LDiliDw4P2KsdxDPXnwVAEv+jveMTlSupg/04FGMUPde1FM2/LhkLOPwnOJJK +QFVadR6cDaV93A/EL+OeqMxwxOuIJ1C2d701rTa9Gm56dFYD3KN7+gZco7ZIIfTCmhUYtk413wI XM6NIMpEbG11+Id1XinCzee3GO2dYTXbL8/4YFFdcdI7HOAx5/P3oApgY0czYJXBJBAppA4ujCsR VWmbK0g37+0Wptx1beJ/a+goZZBZbzMDhW93xSiWPZcwW98O7sS2LKVbCGUGAsr67YpK926qmnus 5x3LNngGpbcp0PV9W9glYdp+lWJnzJ/OLuwti31YYN9//wP98pe/oKdPnzFXRIqO07OTcFRR1xFE 4S/O22vdGMX1oIHU7tE0s4ycRQeFfdBxqAFUPBJE9FKC6PNf5fmrzFtf8oKHAXbWR4e24v+kfkUd emLQoLdm/dVN26c3S5yCsmbUFWcgpFg2ohtuhpOEhsMRtxVodQB4FucxHbv9CFQp5qfiaT7Pbmxd zJlHhfvVKWMFZgHRDuK+R1IIgsd4gUhND6YcrjUaC7He/9reli593dYSe92GqbpuyVQ2inqN8eXA w5BxupeV2Mh7iqb9EVyF1NHZX4USCsqMeZf0I/Y6lh1Fwi5iZQOVdsAg/35XbgXJ5eb8niloO6Rc v5jdxtW51IU8QDaCowP2XD8/O2Gx8ez0hE5PjxwBSVFg2oZsbCJiCoSlNl6RwIsjJjaEZHSQ+0qb VZyUyZKNIJkbYGWSxG52ArRLABg8+2WdqH4rTcOhIlasI7QP30dwFu2v6LJt6MViyOFJD0cLmrDF 0N61OQljOcCBHEvarBvq90DQYDH0qUry3FEW7pXqcaQO20ApE4y6uB2b+H02uX8e4hqPMzJwcmK8 ORNfECoen9FIsnyOxxymVcv62o1ufP/9s/HJnRa8bTqtTVZHnUgYii/bJr93v7f9SuY47g2P7MP6 SVQS5TjJUvUWdQ21y+c+Dfhvdg3Uto7VCEoXgflzIPu2SzekKIrFNV8sMWKl4YMrRw199PETRkrH x1MOdEZq2l5/6NTFpQ5Dy2UxMMD/VO4O3/1cBTFAFLV6eg3yW6UnCet4GpKRzc2OqnyEmG0uizdU VwohLOoI6lodCSzrvSLaFidQvLdCyFCP6H6z4L+vliN6uUQ21R49Hs1pFOuVBG/Wr7DYej1atQvW ZWGMISYiiFcJcUq0LB9X3u9cZEmXjd/UXrzJxZXee6EXjCVEPoTEQB0Ag4sSKbi1AHFPxpNg4UvX d4leSubmRbE6OvTj0Nn0vfZJbydYqI15/XPUQfoyEynf9oiAghx42AaQA303ZhTPCLQnRErYclSc PpP2o3nfQalxwU4UFJpkMm7otCuj63NX/XFgAoFaa4DxQE77wAUTPIJKmW6HFCrSfU7WIsQE4gw2 WkU8TRTv2Oz8L6AY/W84vVknQv2TRGTQZHwbzgDJh5u6YHJRpAdCIlRQ+hOO6IIIyeUgRCaGOomY q2fG2flw6q4RiGtImyO9kRzv2g/oGNabJUHTPmqIPhhu6GjQ0rPFmF4tG1ptevTh+I7TzaQczuYN aAOOpOh7dHMIKWjiHMa5dvJqKKumdJUptXXhDRH2Xs6li0WRMFIllviEceUUw5yU8ZYtfHgSqgFk OJhMJ2wllkyvdWacWmK7iEXO/LoQV9dlaCVHj9v2CW0l3vXfaug0IUS+Xp8eyJVbj1bxOpEuhCe/ hV1eHhmSGdM8PcgI1n4D+17Wl5zHxMVYF8N8o2v1MpQPxxONxlNqxhMmHoslPIuRYB8WtgENB8OC 6rP+ZtBwUjpsNl+XH3BlKtoGRm5RAQ9igVTC5ijLrggtxD5BGpwuGfB12KRHcznjQiw/bHQ93QQ/ joZDsRTGxG563qDEAwqxEsQmRMqJXaFc8b/S981fCq1podyHlzj16Wywosl4TU+XI3q+HNN8fUA/ Hd8xIfNipkJ2Ce5GnCEIPnzEcCDoNTUDjKdk3+AwoNDm8mTjdH5LwiB/a1a29J1URWF/DeFC1Lu9 kWPWJYunECnEi+IEbzA4bR/W1fYrJ1Yl4vP+eDlhKzdtjZjVDROlBXNT9Lf7qhHAVAFeJV7h3foO raG3fcRYK1n71bXP/TN6byfC2ufaCk2jsoZ3mdNbGJfchayYSMFRkhdUyLg4GjJiWSxmMSgYylFx ZkwaYGhVChMxcdPSZCSpaQec1t4UqYGhBASlIqdwe207PxesiixSrNd8Kq7mKdIYv6hhz8QdnShF I8iZtVzM2fDXBIW26aY01csqpjdWhGYbwy452SddPpqqR3JcAbnJ+3L0WJ8V7g+HCw6GBtr6580h fTKZ0UlvmUQ66LzhcE3OYx+OqgLh0jz0XUpTb7DZvn6C3itLb5RvcCOktmFlPhYcZgUkhaOtUATQ EyzDkgHBdIl+zW1r1zYGHXrW+Xtahhdv5e0a+ujWJ2921tNd9+57RY17BnS7UvXNDhQov0VyGIvz YmrZTr8MqgRrux7q/Z/LobISKbPy5BO2ZlOyZg4Y9BsaDCUfEHQmqr9pRiMHS8s661OMDTeMaGHT 11Qvrp0xRYWFuUjerF4SRS9ICqEXQeyL6El9pkImUE6mLx7oLLU7L20WAZerSAiiPsFxfjyT5M0K FckeUNHVbF+Sl15uM6H3jADjyQrzIIaygl9cG+41C7puG7ppG/rj3ZSOmyETsqPBij3iZd6kHRym AyKFVMrDCc1mV2xtjSJkPLFaI/W7VQlVtUKxtGprDTpKrIkVZz+4u72LOchg2Ts9OWGlOTMTtEXz r+2xfsvfKusrgXmZOOr0NmkfbOPX9L+5XimvvxcJpKyfuri1/drlhxVrTBBYiSy7iX36vo2HBymp TjfvZ9oOG48iNKfW4LJB+8YFdV9VIsWJxwWhMJFCBsZwisxmLRkKBEmZvmSbdaa0Ush36IdwAAAr ooPneJJ62BMFtQXGTSdJ8ARRSICwKpz1VSVyfkjxmVESGwMoSeciivegW2NRSwgXI8vgm+V9XITY Zmg0Q3FCbEWs0+fsWVPgR6PBZk1TWtBHQ6JvNxO6WQ/p1XLIB1Uc9ls6HqzotFnRQV8ylgqFFF0d xFdGWcgaMUCWi5C7PVE8e65bdzDWXFrqLqLirV+w+B2hMbDuSWjVLX/H77DuIbAYmTYgjmv6n2Rp J4e4GnHyhCI3ZNTEt6jTSjZjiiLqW6HMSFG7UuW4N0BsOp/b99qKGKtGhuSJZD7LtZ6LqM6jgJsv c9Ut5tbaZL9XQnP2h4v+2U7F+5YBUGKEjmDRN/0hbdhbPSitWbwKFi4dipBsUE817iJWrgWu08Yt UC9OLMERS7oQvMVDx1eAERCPLko9vzA8G5GZX/CeqMh9eNzjOTuEQZwR9bRdOSoMBE10cILqytxZ 1t3u5HdavrgzmF4rEngtSAsL4wL9/OkQ4Uc39HbV0Ov1hGZtQ4t1n67ahl6v1nTUX9G94ZKOBwhL CW1f4+COCd3eXYajmYLOr0gZU99sOmaqexJRVfdFEJtbJLybM5GChQ8IXA0qxydT0fs1Eh0ga0Y9 0FJiWVuLOdFKf+teW6ou8Epp7c+uLWToa5fnuUt8ST9OJNxfpNuXAOZ73+7VyjAjkDLL7fQmShkV lcCP0mHVIXN5VVGbEqkATZuBiHqyKFfF5orxclFnU3Ysfi+mNOPgGiCNMkOKFnYbYKV0vojts6Ag HSpXRqhCF7Xp5kIOpGC2tUMm0lQoOtGiD0KoiwQ7q+LaBzXneoH6+KcQXhTfoS5GaeoDpoe1er2K MAGkoTkZwZF0Qcfrlq7XI3rTDum2behqPaBbHFCx6dNmtKDTRrzdMZ8wYnBf26UwlbWIYEKEtG3e ybNGrDQVi9zHmMxAoELaYEmQCD3mgA6m0xgSI8rzEJQexPDk5Lu44dM10SWSebG7S3MU192ekkm5 SeMvyXvpc0bo45qhXUHPXVeX+LmbkNWJeaqP7hYTS6JjyGy/lvsy47mEu6FgvZCd8DaGngRzfDgY QUUSI14iQiiKKpFFyQULa8LWtgekETYPFnm7glI2NatG1BdEx9IIk4mikUsGL3PuE3RVnniEE3HC cdtmiHBiIYiFErSoUyuJlW72upXM2qJKrSh+hdWlqFRT48jYyZiL6Amd24BGg5aG/TUd0JwOlwu6 7I/obTuiu/WA3qyGHDyNU6KnveCvBsNDM6L5/JoDxDlbe39cF5FDW4xYmUoAWThhyICFD0QKIUC4 MF8HByG4eCQuLHyaUDyZx0Qng2dWna0Tt15qaygZSf+pptP6MRud9pJMYl/ShlB6nt8+V4e6ZKdk UnvWl4m5823ZRoCsLpN0uljBdhoURcK6TujHXwztg7gnimcsYjXBh9CAYGlTM72kIK6bvHM9Q34v HZwtk+AWCLIOgHje3c35FcmDBYW/hPRwu4MVksW7QQ7RY6HWZ1asO8/yHhBcSAGjiCdyS+FwqmtJ rItZGJSH3XY6T33R6fhEdBXFQCFeQCoqbmq5HGgdUlwbAUbS/xWdDIgOmg0dtS0Tq8t2SO9WDY36 RI+bNY0XK9rcLml0OqbZ3RWf/sLjFZxuiznSEKbQTuj2cPYeMnHCX0pS2EiWCFj2RvA4HwYipUyk st6kKzsQSJbTrFQQ77qiciIZ7y4xqNbOnTVEsd7XyaXu2ca8rX/Zy/rmDzrd1ob8vfT+9jrSq/kx ol6t0ORUHPmVN4A6NMbnA4IIN5JDJLUjOYr6SxHRXDH69t0lzWeWcO3i4pTG4yYLJxH9miXwU+4g bY1cw+mr/LhoxgXV6bCyPlvsaT4tiTPUk8S8RUm5UoquclFR7kp7xcqqYqAQj9AutpiZDk5M/R4V qhMt+g+HvTWNmgVN+y1NVi29XImzafP/9fbmzZYdx31g3v2+/XW/3htANwhik0yJEE3GxGjCliMc jpmPMRH+jOMIz79WTGhsxUiyQJAiQawNNHrvfvtdJ36ZlVVZ2znnPsAusvHeu/ec2isr85fbekVH qwVN1nOaDKYMvkv4GxmrJuGQvaHUgWjBMaUklhTC/SihQp/G0zH77gGfgleCpEhrXNnk90D0Ze5a mO+k1M5BvPbpdzHHVqpjE2Ll/rItUJey6VivVjYlgiUcufBUBxOPDMPahDB48UIPuFqtmgvBy6vg qtYSfbGr3K+DKA2qTsRKGy3m2PTns6cv+eDCLQNp6Xd2prS9PfXwpmI8NjOO1O9A4Qhbs0Q5bltD 1Ph8hnqzG/MGJYiiTIjH0sQFKEGyX6nIF8+fiq8ueYa9wVXdrBo6fdz1B3VATEOmYczJ3mSHLvp9 eraY0hMaEQ3mdHN8QaPVko15IRaiLuZg3fuoFlidhmtBFAQoIjRcjiT8nHI6K03GIGNp2+Bm3Oa/ dhNaTiWO3RUwnGbiEovjtVI7bG1MQPOZi7mkXmctnp2HGt7ZlQg2cYsp95fOm9Umpt/n9VnNY9oH fLY56B6lquL7PuqDtx9aa/gRIVJpqNM2wphqHtLO20FEL3Vgzd2Sc6QGRB7ATY6bHiII40jeOjuw 5kpIAgQVHDyrW8dsLiFWKmp5iuUOVMmoMg32b+vUz2INXETYSlpErIUffTisWgJnKYYLEL808sW3 jx7Ry5cvOaTKnbv3aDTp0+r0hE4HI3o5WdFW75QTos7mSzo/B/HfpbOTN7Szu894FP5BsweCBVME zAciZuAfAt5pGGGJshqIVXGdfX+NuOHHlK90+neEpzUcWp1rT8Mb9lZtX9tnShdnO4PQhaisi0T3 KiUdc9RKlUFIiVRODGtrWMMSa8R/yKF2GxNZxkRK+6ahSoQgDb32D5tSPrPW483yfqXJzvhCU9+L rLlr4O7dO/To0ff06tVrTrOE2x3zrMHx/A2iuIjz7dOjHoPJgRAop6kETUF4jTElT4dY+KWb2B6o cDPFIq1Vjedz4vqkExkdOgvdhjXVeuV9h93Rii5ml/TbTz+j3d1tOjo6Yq3q7PkjevXV9zTaOaDp 0SF9/vox3bl9i549e8WO5R+99wH9/vd/oAcPH9LXX39LJ6enzDkhCgKs0IFb4ff9/V0Xn34ZxOdo pYJ7Uus+8Bq0Ju6hjAeFfRIOf028ssSmC/eUKrbaFUSV8fXs4bZjTC3L0/GX5mMzjG0zjK/M9ZfG 03YRpc8PmfA4EcH8JzpIImJITCe8BEvxHoiUszwHNwWuZADfuYZbsY4N6GRrvrJSx80R61hv2wRt bYvLBgL8wb5HfPm2E5FVTQGcq4j7SgBqqctqOvlzxeo0w7MXFQ0B8biS1BF87uLQPZajijeDjV0U xB4/PrNHZX6gOHAiaYCSAtFKll/7i/EgyQJA8ffee5feeecdJjBffvUNffv5Z7RzcETT3kP66nef 0uuXL9kj4PH339O9yW367T/+jrZH2/Tt59/QekR0sQNxURyQj4+POazwvXt3PTdnO6fid9PZjhUR krg2xq+smGL3lZ1L49jr2yxhYnUOqY1LyIiWclYNUkStrAsEKT9rzcRJOfwuRKj5vJaIo23Fzmtt LPXPSms/HDiPe3YzGQRMhQ+ax1XEkhlaMnBkCJUr2rMBjcaT6NYPavXmwdtBx6y9qt/zCahxalfh 4LTOc6RjcjHKZzPERFqy2jx+ChpFMfIMmjf5wmJYTDz6nHxdxuYWU2iRp3QJp5QeBP07HpPFv5Tr spo2Bzo5guhaj9wY1XLcEdqCmOPxNtMnsQ/rsT/eixcvGQTHdy9fvGCXosloRFtj+BMO6Q9//Jz+ 7b/9N/TD48f05PETWgCMH43p+vYhXQ5ntB4QPXnyhOcQTsjKsKfcjPwUA1DFY5TI+HlOCLVXPRYV I/Fqeot6sw4xFxQToKb9vPmhD4lQRCnVXk/efi/6qwu8EtOz7jZYtv74gtD3oyeL9XUdX86I5HUM Z8joC8IzkvAaCw69Ib5iA3jguywt+JxFIn4WnzeHwbiyCFe6HxKsoDS49PkugCeIwM0b1znawvPn r9jFA2DwcGTjc8vMcZ0r9WXsMSjMRMREaGSjR81RCK6Vra3Tm95XmW0A5YTSmZBngaGJg7GMK/gu 6vPeTYTNKSSUswLwLKY7L4FAyPK5DIcWIj4s9JEtZ0iffPIJffGnL+i7R9/RvXv36MaNG3Q5m9Ot gxt0bT1gUREFYvYvP/kL+v77H+jjv/iQbr5zk75++ogeff0dP/P2O29zs5ife/fvRfOMS1KSbsRa QcEA5YDkmzvnLiy3mS9/6ZDFpVmh07zfU2wq/R7jUIWLHV+Xsr6CGCnvlerpRqzSeoJobjlZ/jbi 3rr2uyuz4TGs0WTq4gWdsRYPHNN4vMUHE2FY0BFEEMDN2tSRdu1FeKdV7m94tzbYtJQA0bSAo/rh 8RN69eoVYyqMz0RB8fRYS9JOHF6INNvbO/wN/hYOVPAeEHMRpRwB4rDKsawVXIoUzHeErmrlHI3K /0wXN7rwDGalMxq4sZCoI+OuPFYnVub6Ocw67ty5w/MDce707IyuDUZ0cP0mDZYTOnv+muv/d//u 3zDO9dFHH9IHH/yc30fAQOThu3HjJj18+IDe+/nPOOuxFWft4VEOMFZYlA6/hj6JRQgh14jlL0of 4dRgGCbzYHl5O0loI2TtjnM7pltHObsYY83jZ8WSB7dixtpusV66qK/KyeRinJZmwlUWc+07Zsxu XOnclhiIrjBOWlj2wUL1+8jHB25qQefnx+wyI752M8mB54LkpZ1u4rI2vREUg1AsIfv+J7LH0gIM BQcMHBbH8Z7P2eN/Oh1HY4BrDWsRexCNEJFSsuuMEYsrYZV146KbEiQweKWraQRHcXAbVkU9JShB JAmHJcYFQzzu6DbXDeGMcVGv2i9p2BdtS5bPbCjjWYBeqeEm3sNBfv36NWN8mB88x+ms9q7R68E+ na6HdP32Gf2vdJvFxvS6Abf6y1/+BYvU0MqyQa7ign6OZd40wqmOM97o6eppgD4b+E/qXS5EAWTn 04de9P6VNQ4qNriNueJwyDQiRkwAUh+4WBQMsEaZq9M27N/2MymWs+nGyaQiqfs0+ay7aBj2c0yU 7W9tIHt9fM3FZH52CwGfORzS9YIjU7JoOJq6mEziyqIxlbriVLXv02JFGvNCJ/GuWmcCfFrWFYfi 8Briu+8x0WJ/OBdWGVylBc21LxKkTyrQfmb98ns4dkFhQrIMwLfFWgKhShdSD4FwZ6uVEescJ6D4 VAxABy4B66WhemTTKEapspP+kLA+YnN1zunRlMhxuJZDREKQ7MVvVhO6nE9psepRfzSmreHUExq7 idGjyWTqTEWSnIrBMMbF8dILS94Wt6VyqBePZcmAjZJDnLFZLE/t5FQWTi4Y/A7iHqJIWKC8tKus 2JeKRuYp322JpWbfT0uYs5x4lC/qHnUrwecvrsISnyaCkUIaZUJjGZmyCNqFGDePg6GY9GMVC+BK QwiVu1q5cMM9F1VyTYvlnF/WeORdCEk7CxiIVWreV2O1u7CV6fPaFM4GjxMi4EDsfxBb6eT4lM4u zml7a8qhSlA9bI+I48BfcMyqIA+UMBJPDbPxW25KD406XYd67E2sY3BmJM6Fp6xJMcC1D+DnokO4 GPAaNVSq7rv1lXAt4CA5EsLFJRt4Ym3hqoQ0aCBSCNni73X+RRyM5V9ZU6WEWjbxkkMHMVFwGZBT j4L4cAWTEeVgYxBWCVUYq+WMlIOLPC1MBFdRZKwb9lRNcghcoeWkLBecrnv3omvfBPj3suebi14C VqFWF+vK71sxODfc/qkln6Z+VA1H/eL0WZaQBAY+PboQKkTKhLCIQ6zsfKnk6H+d0AT+J57H/J0w 4V3l4UBHcqJwcnxGT548ZewGmIv3WeOkFpwDmX+qTZWV3MnUG7H8DksSK3/NkONSxyd4lB1HKjao +GgJU2jTzpH2ga+TsLlcWyBM337ziMO03Lp1i0W0k9MTjsypwQZHnGp9m+Ocg+uAUacHwdVXEhrT tSRjPac+XawkHE60gjZhh0llpqKYiHzyHvfRi6WBuOtc2MNi94P1G0xjbOmY7XslgDzVCNp1CIc9 muXCcxYf3AwSKeFC9rXmOnpJXfmeSMumgHtOjOzlr793qqrSl67ttrjmeOqJ//At7YV2v6E4fjqc mqFFXM49+FwTFzeiwhWZPvRLQ4jUWdqMUAZZzdwc8teco3726fBQUoDhjKYsL7SjGCube7D/nWqz Qh8CVxDje700lEo8zNDDRHuoYqWKPPkNXp67IK7qbBGHaUH4YBjLAgy/fv0ahxQGUYKiRSz/Ja5U lH/PECNHwzkRK/4t1yM6Xw/53xan/QoE1Y4r/il9AvHTSBWqvFCxzocVqkSlCJymQU54f4o4HNhY 69Qfz3MZZynMZ3mKNyAs9ZID841PU/dnbbF70Yq63QlXoAtpX1wLHbHsrrBObT5bXXM8eTCxlLxr jk3O2UdVTuxRa3Fz+zQBgm0akPRQBxA1bMiNSkEbt729JYajJMkLwF1MYGPmkpaiDQDGM44v78Yc EcwEg9DF4tw1yjGGG92PI8r6q7e0Bu6Tz/QA52KKbTcbJF1eznkcX335DRMnGH+OxxMmDG/eHDNx vnbtgNNacdRQRHN1fQ6cgjVydIJlr0+j/prGzF+v6Ww1pB8WW3RneEZbA+eyFGFZ+qb0i8Uxr3wQ cmoVCIFrCVxjymEFTi68J9yk42J9ks6wxvJh7MATz31eSnhMEWaI1rQkKuUXa/O5SNtv4kY8L9GR i8O/2Ei7VlJsLdRl9/H/vFIhWA2U193eYtOz4vAp8orTXkF4ghTJWEW4KbMWGsW4Jl+mutyd1mmx gPriSFvQcOHd589f8EHa399j15HwmiyWpGlHxmOIMxCNLQfobu5Y4IuPjQGHAwi2vCwRAAAgAElE QVQexKgQOibGSGLRpb5JEH0Clvt47M3xMUdC+OMfP6df/eqvOD8jOCgYbYKrgti3s7sj9loO+Aph Z5xt2TIWz9R9ZrRe015/Tnv9AR2vxvRiMeXoO28PZxLaeikmH6GEgIwCPLmLwIXdYSNK87gH8CWY frLubn8kS6qisOKLfjEchmPnOX45JiYpUbJ7JaxBqWg9+V4LCpZuBzxvwr67GaeV7ZkrcYNpDPuo hSIW2cR1XpUjLRCsIMJUl8XfgACsVZtjuALzondb8amprlLKC2Pp3SayvrxrPcglZDoOMw4Ioglg DBKDXSyu9XlJvuBEmd6SEOE8cJ/lPlrEyxKjlLjqzSfPlAl9zM675KBLOBRLPCn8DgIFbvHevfv0 9dff0PPnz1nc29vfYe7q/v17tLU1oe0tMc9AclThemy6MCEY1h6L/7mMM1hJxHm/ub6g1aJPp6sh PV9OaHtBdHMM8wf0X7lN974jvBL6WsIZ18cWorYyh+rnxx0+y4FEmFO0KcJPY92ePVdYuJ8SRK6t 4xVqovKp7EII0/auEPuuRMBjEeEnLaX+FTI/86MJ22xEg8rhl5DDorZnPMLZ/ojIiJ/YnIIT2dC/ MReRs9eeZlfkY1tPKlLUbqkkDYE/KACbD68d0snJCROk16+PWVTE4fZSHccRH0tWZ8azJA29iMSh Fd+BSkxzC/gGTZjEwZIxBMt3HRNwNmBQWxwaeMiZYqDVhKgHzhCgOhKDfvnlV1zXn/3Zx3R8fI0e P37MtlPgrJBB5vDgwImdJmej71cA6z2x8tFIrYiGGPBrzmtIvQv6Yb5FZ6sBfT8b8+fXhi4RhZsQ EdMMZOCMOdVbQAV9Ldw2ps8ls9B5yqXMcMEGqCAQsXDTO+EzO1xtB7YmbcSfp6KS1abpJMQROkv1 hZHUSy97ryvN8WckSYJaG0+5HY1S0tbH9UZEuoR3tYDuBXk/xZIcvpFjTGFRANgKKK8ZgUMsKTE8 NtgFg/lpC7Y/TW3VSyqKJBUUMSy0BR9CRBR4+fIVYzzgpPC3fR6/ivuI2GupK5PoGtSxVZtxGXV0 NM6yPRV9bL/9UjvxTDM3g9uD2cFnv/0dh2SBuPr69RvWbJ6fI3vMOe3v77NrDH4Cs4JZwu07d/g5 ECoUrA9H1OBUZvEmCWrvkB5MOEzhhnhdveJFxLVxv09HwwX1e5f0aDbhFGHfXgLnWtPBEMlaNV7a Oo5m4XAsbtf5DHJ8/T6StIrdksYhS9e1hOtEqIrFwXzWI7FHS8F6CxnERCcWowIHXMKkahJAHbYo 43vpSMql5w2Im5+Jx5eciwjLq7dZxOhKJMlUETMNMdGpcXRdOb2Iw9KQJ9nL7gT6LddkluDeZQNL Ly6KIR+79/BhQEYcwf2AgVluQ/qhYlSdqyp93pXFTbUWQXtCnMYcxAEiFDiu7Z2t/F0XKbXXG0ki 1QhaCP3GQZTsLi7yQeSsHDAsnWKtApbasxUcsee0u7PD4W/eHJ+wS9BXX30tmrzBgCNNoK8gbDdv 3mQidvv2TfrNb/4125CBq5ovFvTJX/0lTaZiQ8fTjqQRzqYOjt+clchlBhJu2OlfnYGwmmKIFi6Y NvB26fdo3O/R9dGCrdm/nW8x0Xp0OaXVesZi41g5dCscm7MeQkMHmynROAcR0YvuBW7VT6DbR0Eb 62pVLs5lwM6JUagzgN3W0TrfN77zyf5r2HXxm5HUEtdXK72s/py5SC/AhJT734uCpSUyiXIi7Z9n bjuIuxuLnlGJx5bkJcw5j5pIFg+g3hm5nSXaAEwfmHANkUa+R4u5pA+XcAYOA+N/gQ2JcwL+FKXE xoe+TsZj5k5AFHCQERUzRL9UGyepx8+Zqmgc+6Rnp7QZ46B74RmIeyACsJF6+eIl9Ycjjnrw85// jP7Lf/l/OITwBx+8z65B8Ot78eIFHR4e0O3bt1h8unnrJk0nE9rZ3eJ/Wu+9e7f9wVDuQYFujXIa 9dETBie2u/+C+1FDS0tU9DkkpLg+nNHliujJcptjviM92K3RJR2NFzShpdiyRaKwJCSRuZT6NMdg cNRWK/Egxqio53cfn311/i7YsaloCEwMSTPMBRH6k4fm9sSvaGyZ7slQRxfRx86j3R9dytrckMG8 p/RMmcC2EkYvSclfRYLTkpk7q/PK51fXUt6H2baX7/+HFZcxeeBiSM2dfyJcYYD9zOcXTvxxnvow Vk1K20YoN9tM2VOVLQo4k4uLGeNAcss/pKMb1/yBZ9szNiB1f1vsTFr1HAEIiWJ5il/oEGJ1PMKu PKOz0zMGyz///E/0i1/8gr755ls6PLxGjx59Rx999BF999139PDhQ373wYN36MbNI7p27dAZd8oh jJQfPMZcdBBXHRHZYUcnF4U8G82Zi0ChsfnVBo/rGCAlmEQkVWUBsuzcG19Qb9Gnx/MtOl/16ZvZ lE5WC7o9ntH+YE4DFfGM20y6VkpgBN8K3KreZ1bxG/pqYuOznZwF8fVsiXgqHJ3lbG28ft0PQQzU ZLpBZI6D/ZVw51zTW9p3ul/iUhOnUEpmEunzmxNCw3gk5iAxR2t+t4TcNFFTJNbNN+L+xRrzfAwu a05eSXTb2A67jpaA7XSRUo2Y3lrgsNbgXhaI633JbiCjIYBsaKWcAarDiUqsbq2km66EFTVzivI9 22BNpD+aoEKIlc2zJ22gnwzA47BrDDEzcTjYHE1z7SJ4OmwmECtxjfn+u++ZUAEYPzs743DEANZB WB48eMAYFWJJIXQLOCtYpGsS1nSsTYdFPhd/OxAr8eED1hg4KhmLzAtHjlW/STCQS80CJMltde4U lxwPevTW4IKj3j+Br+G6xxmkL1Z9ejglOhzArSvHNZxpm5sj0cIqptU32skItzIbOuwxdXx25hLJ AQoSYWqPpfsMnwbFg/2+6QIMsEJu4CsErRyxoankRHxtW/T/jficKrEKHGN5DOKvVhIEY2VbIlZ6 7jYPtmjxuva5K3Osdi5QgidvUbxLw3GE/sbgpGmmA9imOBBjWhwhAokJLjhI4GSyLZbzLu5UyOfX zGHV8IXmZ/LvYV+1t7dL7777kEWs4chOeHguYHVCWOFvyMTHRwlwGZydMa1ajquoCBEQRAhc1eXl jD+DSxASYty9e5cjcn788Ud0OZvRb37za/qv//W/0YcffED7e7s0nYwbtTTtxF1OMnBG9A8XByJQ 8Bg1O5ASigQzCuF3kgNgYnlh1O9MwDX36OliQst1j06XA86yM+ktOfNOjiOKqw6qRm5C1UyKN0WI tpCsWDJmjGURGaJ6QuOIujhTu8S4hiOxYmTp0OnnCW4d6XCUW9YLJBDB0N/SFkwJU3XVemXRtASM 10r92cQyQDlLIxrHhEvfl/+KRjhnVNLx2bHU+lZ6Xtdh2CRzls93cJ0ovdNUooUx243Tszs/PYiH qHs8hvd/nwkXDpQQhkGH261b+7WCgzMao/0d5gQvLpApRqz41aNfVP9uFC5bsmJZPgOx4/aYWDmX JeBQ7GB8fsF2U+CsoMkDWL69vc34FJ7/+fs/Y7EULkIq4v31//a/OINP5Ww2L3b8mE8QV1wO1oqe OUDOyO3aCYCc7BQ1dpXZinExQ8iHfaK3x2cI+EEvlkK0ns7HtNVf0XQMUTSsm7xiuE5nTa8EMzpi UUgX2UVqPgG8UYMnqsip9cr4w6bTsShh0fVSsT2Ek04B5Bj/KnMPwYE5JvgxsYkJkI6vzbF43bbK ybN1LjtOWVbm+qzUEvfF2mDVidVmNEK9JGLRFlw6CiAHzvwcOrxJURuh8G4TMchk1UJ7XuRiNT5E BxfhdCi5AtmEwCW90EBvbQRo8yJiCG7516+O2ehyNpeECe88eMtwA6nbRRAb7E09ny18FmNwVCBS EPX29veYmxoD3GdCuKbdvR1+D+Io/uEgqlM54nalYHKp73bjlMQTLfgMsfjxOHNaieO1tgLTA8f1 B8v8Qrue5/IYFdj3Fd0aXdD5esCaQxAtgPF7gyXtDxfR3IU+a3w25eS6JWyAWM73hxcFy7e0g1+c y5Vgb4EACYcnqcccIU7eb16DukhT4ozCd+nf6Xtd1f7rQh8qT/rqGsQ9t56BmIdngkN+bNN1NUIl 9cplFDDXVa9HJ8shPZ5NaL6GO9iKJGtEKzDYXpoWJK/Py1Zx24qP4SuIUN6eSwLH9Xsiwsxngnv5 2FTycuO+bhMpbcECQDEAe6yTkzM+QDAtePDw7XA4i+CgcFQgTiBSl5reCmncR0Pa3dtjQgSuio1N XZJR6R+CA8LUQIo3uvR92gQ8DWO2Y8/xjTUD5/3+kDlZjSrLG0fdcYywYMx4/Q+f7owfNDZ3LgLD Xm9JR/0Lmq+26XI9oOPlkJ7MBceBaIiID3GfZf5LYZJLe1LEWGfbZcQSa+Wu3IQ4RatyQjiz0F4g chqzTOqjxjm1n5XLT32h9q7wTq0P6X4ofxcUFoXedAgvlXNd8cWqNn1BfO/R5bpPL+YjejIfu2gg RFDwinqpUDLQMR0eVy4NWy6rpN7MxUD3W0Ks/FBM7j7GL3QjrRENYM3RUGFZz3HmWVSzuQR/bHHs p/O1gz/eDmNLYrfEG9X1VDkAEFXgUCBQMEsAwcKBQB3gzMYTBL0bcRoxH9EiKkEcsfOV96yeAzGq rSJOxECw4FQobLGvzsrm4MoaG9A42ypWvjL1+rH02Or9aDSni/WMRUPclC/mYzpbDmhrsKKd/pJ2 Bwua9lc08iYHGg2kCZiOIxCk+9jwKBIiiF8JHhYy3qBAUhGOOTWZLF9/ieMp4UkpR1ua/00hiy4w Ri8zeC3NWY0ghc+NbNDYHj/h9opKABa/S/uWv+ueM4bISqwW1OdL7dl8RK+XIzaNAZ3BxYbtsFHm 53hAqUOpmVg3mOzG71Cz7YMOAsRJJiS0AStzECq23WEsBtbW/Z+EcDG4NxjQ7t6uD2g3HG5bPpmW 8yUTJuBSF5eXNJ8BOJcMxsCjEAGBA9+xNk9Eu6AdrAGxzRtlY6G9AU9gjhXmDewCI6GCSto7f5it S5PZmCHTd0QiDEEhmg7WdGc8o50VIjsM6HzZ5xv0Yj6k1z0A8SOa9Fe0NVjSbn9J24MljVCL0xK2 ja8k0gSlgIuZz3khHbal0V9daBsV89ig2Zk9cEDA5ZKePvmOjo9f097eAe+3k+PXdHDtiNf2yeNH 9PbD9/lzDclsTV/y/sbzn3K+GbHqKOmsW5+paQe7n08rSfgw3S5npM6ljCuvO70o7SXA33D+yx6d r/v0cjGi5/Mxna8GrLTBXrg+nDM3Du+JxgB+0c3iOhPEgsIhcGFFsilJbqPcVqMuSobbSzAGL244 YEU2x8A76gqIbGNVxZNW0siUuBDVkonVu0txNRyx2AZCJZwUrNwFk5pubUlcKY7OiZhSapahbYVU 94Fr0fG1bTidn83FgTatkxYcOhj2qtbTr1kAeExvIndurS36QYnYvDNc0XQ9Yw5rtu7R5RKB//ps q3WxHtCbJf4N6WVvxZvzYLigveGStkqMXVZyLid8xFHqRSHAtzS+j+3hhFiJSYoQ6Ngd6M2rF/Ty xRPkxOPvRuMxvX71nF48f0JvvfMevTl5wYQNMfzx/O27b9HB4VECWeTz3rg2LSPuVTmvMpeVQzK9 TthXr8AVCVEWQi/2iCmxsuMMF0ggVsHJHvM5W/d5/V8tRvQGBsfrPnPch8M57fcXtDNY0rAvoYMa 42GVcY/q02bgVjwssKIaxzzK1FsabF6/lZklzvzcEywGzF2adc1o3XRDl0rEMZJYniNnIyJzYgMi 7MxsJppMTarASRkYl8ojLIRFs+4lqTTchiG2s/OlUj8QlpAan0Lckmx3ZcBmDTlj3oy2s+ZmTPpq 7eHkU2Hr8Q/OTvCFh/YHxAuECzgFNip+P1kN6HQ2pN3lkg5HC9ofrGjsoy3EIzf3tLRi4mLJPNp9 ls6N7qOVEwUlfI5+jgsQ6w9sb3Z6QWcnx7S7d0BPn3xPz58+Flux9ZKe/vAdnZ6+YcLGGa339mlv 7zBkUfLr2UZIog7qA7R56f3I77UL2vdVggAY5VIRn7I/Y6wKBT4PiMGxwOW1BLEa0uvlkDlviH3X hnPmquDWBc7b9taZNaTU1+AWlSEGmTkaYQaky561nQ/588yLhenKb4EUOMeGmF1ecE5FbDhlLwVb FVGFP3epqjKcowLE49bQTDrgrsBRAYuCuAcuajTapjFr8iZsshCBvVnJiU06t9nIf3LNZ70/bOPm DqxGVAjREYIIGHwNDelq3fc5XKAYIDidSX9NCJG4u17SYjVn/AJECzZbj+dTxjHw++loSUfDS9p2 m9dzphFnHBNI328b4NFr4gOXy4amANnZyDdOO/bmzSt6/uwxjYYj2t07dPZ0AkPs7O77ebg4P2Mx Ed+fn53yfvSGuJm5QzjAzVj1/8g9sEEpIu3xuFRBFETGQEPA1eJiQrKSy9XIrzETq1WfLpnDlhCX +8Ml7fUXrEHeGeDJvLBrTkl7ZBuWj5tm1z7XZRLcoBvrSllW91tmRQxN15AxLCaFTpZmi2n4vrEo gARAKioGTVYYmhwo2PHAWZhxKWSEXiyYowKR0vjmCPQHM4TQh24iVzZPBYypqgWz4rTwmXT1El8E Yt4g2li4SgHHYet2/4AQF42sUJAQY0KhYlgRBFbsU7nMsCURbnlASxYFgGOh/DCfMsE6AzvG9nHg tGwijxAdQzaUxtuXC8QTK99pi8tpCB0RF8VAORw8CR8EbumAphOkdhvTzu4eR2wFnsX7g+dsRNeO bvF3W1s7TLDwTowJBiVSmPfKpR/NacMqrputxytvFT6za1Pj/ty8qIRjgvMpTon9AbMVXCnLtRKl nhCmdZ/mK2BUwkUvVn02KgFGBVMF2OYBAoAXxHZ/yYqaUkH9kfNzVTtVJVbm1jTZW5qL5oSLD43F vkJCxtBGrS9iQ+RicMF+ZyAprTQ8irpoMLYFYoXY9LB0dm4ywk0hMsKCLs7PmVhJ0MEe5y3c2oJB 54Q372SyJYatjva3xwUyM9Vhbu3tngOxZWyirc3y2sUXQKjfjYnDApn7LdIWFqvx2l3zV0EccqPw WXEMsQ6VsFgAp2mUH2jKosKr5Yh2VysWFUJcqQSCMBhrIAapNk9xFGdP57hMcTWSfQQx8PmzZxzG 593rNyICx9xhv0/MYHG8rj7dufe2+/6awBJeFCznKGzGk7qX9ZXFxXqb6X6JL/bkGSd+L1ZEp6sB Y5Hz9YC5JmCTwCuFgIGQWcGdvbxoOljS4XBBB8M5X1KqJS6V+brHgPwwH3ROTNIScwZpDO4uk5jU 2XniLTstbeNmRBoy2a3yvZoOsPbCAfEKzoMYKTFDqnUYdsLqXMLErNn0ALclJ0zlbEB9CaeyFuJ4 cbGkPicD7QCVt4ThicWDGIdJuch43q6+yeP6XK0Qazlh7JzFGdig8VbTtFj4DzScHLFBY5xZjCV2 3VCbJv1a46LFxVqXW7DcuQWt10y0QCJ+oAmdLUXdDbFhbJyVi6vgucDyKqlWC80xeMxaKhURe/Ts yVP67af/RB99/Gf01t6DhCNXTtdxOBpKqdKJsgbYGV27ED1BESOENTZ/iMPb9Bq5qtI+sX+XpIK4 X+ESadjh3FlZAzzxZjlmER5RZ6HJGyGMD+LL9RDkUUgVPudZFpdUNipmEXCwYO46CSSeFWiV4SnB lu5BzWhuwdJ0ZGmN6qrzNnbVsupxUMBSiMAwT1Fb7kYGQRqNpkLxE+6AU5DBLAI4DRugDmg8QsKJ S3rx/CVzVgDOEVkUOfgAnlujTWWD4ec4h6O2iSzaNlarui7Z5KRzmn7XlGq2C9FqwsnS5yQvozgd wxF9Bt/OkSNMCsI75+dIe+i6E8ahnJqA9WqvE0YQxCM1ORATC70YOEiaOEKviW6PLvmG/mE+odeL Ae0NhmzXFaAMc9i5LY0R79rTCJsqThvxVcVSyXCtGbWJLi6Q/VsSw9oM2mEQVvyNuUnfL788iVjl QxQJVCEEOsxOWBN9p+lqXCd7oCse0+X5uvgohp7CDS1owPZ1xyu5xI+GM47MwYYKbh1ycgnlWFCM 1Ppjz89Wb0X3xxfO0t28EN+c1Goa4IdXOZjV6YhurHqn42cTmw7l7lxyiDnceRjTyjEq8fkTgBli HbIaQ/w7OjqiyQScFKKlqh1tTgxQx+zyktNhrZEVuyMxSEuZc9q0NF8saTtd2uPQ1QMc0AXRasCZ r0GgEQ46060kESu0PSVYEjHB2TkZvM+3b7ivMAJRXqwWPjUru80g4OqN0YxdNF7B7GExZENTgPWW 6FkuznIoEpQyoH9W5NYIFGpDpOW99z+g997/MCYgRrSVvR4il2roGxSpyhhVZ+tmRP4ihmWPeKxd 7GXnr34eQ13VFa98HghsylXq7z6EUa9PL+cTOlmKzRTE9RsjwaG0X/E4yu1kPUv2C+PUPWLxcRiR qwbL6KipIkivbg5x5tp66X5Y64dP2oTaWSxmZdPaic60nUy4BvTy5WPaYrEP+QZhgQ7gfk6L1Sxy +/EmFFwnbK5GdH5xzm36+EuVoeQ4lI475lI3KhmQ1PRok7hfEf3ZEHdBo8EW0RoiWbKl/B/hQJpa fFBA2c/COcXgsgYNDEH6rFW7aiplHeV7dpgeLKm3HBK8emZLhGYOLjdqqBx8W+Nixe3AeTnREFb+ zhlc+yhcn0llpyp5V7cntL0EfogySZfXJJjkuNhcLheCEqpYyWLfs7ZhNkRNEzGIFqzwjOXgzPXn fZrzCA0hg5JgVE/nIzbyhPnBtdGcdgc5sarMRONzQTyWgAP6fBJxtL2hVjGv4fNYs2Bvr1LSi+ai RFEWss9ck6SgKilDQ7vYKK9evWKzhYM7N9k0AYcIvnTQNuJvAOwIdwPMiwmXI8IDxPFioDa+BZv7 uNm4updmwL8Nm2wCXTHuywtRz3OKeeMfqAEL9XBZfMcrP1zIY9uHADvIwfDwkpMY5T0x+FUw3Bax PfeUxozRhaw2OGoYi4L5ORfvfOejgIdB+RMuOu23NGW4SUeMvZbMEavynKfJUQKXlop9YS5VZA3j WmdSSeD0LK6b9iEnoCWuzhBoM34r6mpARY2F9v1sQudL+f1oNGP7KcH22jO2B5E36W2Bq7OJWBzB iql1N3HCHoA0SkHOxjbVtb6Co3LaHcYakKYL3yE4nfNxkoWw4sqanj97Tjs7O863D5+LKwWn+AJO xUahiJyATDUXXAdzXcMhXV7CGXrsb/UmwpX20d7YTRhWea6MOFWSJAolFxXCmqSf659BVFmzmcPF xTHPqxAKaV8Pkm5u06JEu0as+KVgP8rJpIoFaUuAb9k6sk4oGtE12viuJSwXIKUwj8LJFe9RtcfT fvrQNfI1zBKUi2BMJsOSwndq3a/ESrlJGbMN+Gd96sKZ0P3ncViIv8y1ubZ9bPtANEvg+NpjdTJm DYfP/D9nOQqa8cDJ6ivpponXzhIn+53dGxLQsceaW2jtwGXBJOEax+4P4adTopXuv0BE40utrXgO KwZN446n9Whjji5nxM4zmSn2UWR3N+E60r6Em5FDkvREnOE2CowWNtizp8/496Oj6yaonhsPcCzF uRaXvNnZCBD41exC3H9WS5pMt2l2eU59xl2CZXRauojY3cRuHasSLZmLtrkr11HsafY3QvgEMciJ fp6r1c+CaKftCRgrnwWiIjH7Le7VKxl8urCjYvSL30MM97AzxQlW3401WoFTELBf45aZJ9x4/MF2 HBqHs3ahhZQT1+igXtVhQt74PaMXtfWPK6Tz0ucDjOes6t1B4tbc3KWHWOdx5ewKdQT4XO3IQtuu jyZ5hs6V2RnROZflTC6xIB16iqhJdFEQRQHmCwDPgV3BfSYuJbqhZyX0t66sSvsqz5qY7rG5QFxB PNF+kLXO+aSZpaKB8zuyCfpWy8EH9xNSiym1CoQX+392OeP0XdePrvvEEnbcftFZrS6fQ1Tk2Of9 IQ1GEyZUTs7YqM+2/LSiYXOxXE06zlDyucVNenl5ztpRsWcTa3f/jCUEylkowTEAvBI55bTsd3LQ 4N7iAHBnosd4YTZFrl9OLe55oDSoXAI9BFEqdDhE0gyXtCcKSILhKKJyecr5lEBk4Xice4/H4qSH /mk/B47DEPKdzaOtz02s56R8Vf2CjyzPW5q+rrQHtA0x2jxz2BObFWTiZjL3ZjDnS7GJwpN3xxAF ZzToSWasMN68D6nBdq3EUELcpyTiaExE7G0qC2BAbGtaELGQtr60bk+vN+SsYhVn+XtwV3O5BbOQ yriJFhzfCmLKwf6eF10iyNhwgFZ+l/A2iHMluBY28AAx6BczXmgWP4v9snJ4F+4mvXVs/1KuNL1U ypqiTPyOsMO8Zj0k+B+4VRjLXs7PXVx1l+XaBLpRvEMYFYgiJuNzVK2aDZiwLbohnQsHcCr5PEQ3 DX02u8alGlNH7SBa6ryU2rfEWm/5MO+MSanSYBWIWNPl4uvTJCs2ACIMkhHAEVbekruaCQNsk2w+ oojDjKV0NnvQ1oHqzdZ9tiJHFFdJV7nmcNRCxNd8yWLu0x7jeVicy09YnyMw3oBewxCzL3HJYI4A Likissm+0t/hgQBXG0TguDWa0ZQdk20S2/KeDyLzZgllLHwScVh2YeMGjWhYbCccoFi0jJ8pE9cy +9zW8SI2xgHpJJwxRDfV9GETnp1dcHKHoxtHzF0FzUMTp6fhbUIGa4Q8Aech4LQEFITBJQO/7M1v 56w9uFk8DwmBqXatjTsNhzImblZ8imMuuMbDCeLIn+5oARvhzDzemslxR6FaIWZ6g9rkGM4YNCEA flrY+yAQHT4oOFk814FbZmnIc1giqnmThih8r+ECfRTLAndumS4TytoLS5ZidihaLwgLRKWTxUCs v1cDJhD4FkaUcP4GsYFVN34yh0MIGb3ikDogIGgX78zha7eGvx3qERcXTI6/uXYAACAASURBVA3a 0EDZqCPYNQnhgmuLcqErV9fS/gM2C8dzxJparemYxDr97viSTUZ6NW6HiGNUgbu6OZ7TzdElu1Kl 0eBLRZmfTYiVVXooM5pYQbZUlCQC7cLeuSeTn2mbOdG0nY5Eu0TzFNXkbzfBXrSvyHwDUVAC6m3H IkKxrsI8sAM1tpYLdme+YmNSFweca1ZOpKNqt0is/Nebic4575Vyke5TzxkbIpasLcRsMZYFxRZL d05Gareot3GKL7kIhNa464aIyKuGhVC8yhMQlyxCba3A/eDgwxQg6quFMXJj0iAW5lq1QJ9DLHmP AbXNs3kGRASH/xT/lgNW8yuhkjE5wB6clmsHhANFrMHlH64/jsCKRByOYIGwMJcG95Z1L1tR/UQI l2TcBjFDfekwuI3emj0Fpmh7uOZICQqgs759vC7gUdKfVy5WFZLm3hyWiVXYX+WsVba00Y9cNCwE 8EsfjEHNq5fuxK2pxJxcWsT1RsKtarA8bHzEUkfEhRs3ALTr3RP7x9kD3HS7it2Ma0f9H53mTm2J NE2V+Kg1hbf5MXOScnCpuJ3IF0VR3Yry+pHlUHo0X8JYdsrp1wJoGuNYvj2nuFC8zIoSsbGofU2A KwHareghmjlaaYggsycdoK9W8hERNFy4ECwJr6tzIHtiyXiTz67jkl7Y99tmHgRntgIOJERKnHwd UaU1G0+Ce2IRMLHqRsuIuKo+d8CSULx4p86/ekjZ3UUSd2hIaVU+gMjxu8phGU5Lf1dn4qHhxjAn +HtvueA0bByLbDGkcR/uL5fcd+0COLtn8zG9gtHucEW3RzMaM2Zlt00cNTcMoPtl26U0xsMKHbFq yFopiZHxwcmPVnxPtB1GC44WewCtCScHDe4WsGY/PTlj+yqk0bIikXIX8U1QnoO0iLGg1CUaJUk4 Ks8HIoaIDzHhSsdkx1woHdc85pj8aDKsJGyshmIuKbE3GginpcH9jL9ZZnaRYYKhX9k8WjbNdze4 6ggILhFRp4TYSEsOTwJ3kJHJ71faDoGLCkRZiFW4aDxg7R134v1lf/dEai1EBlwUCA44D3wHbgPx 63HQx/jH3EwgIHbQ+GQ+kLpUbJQ5FX875nQMAdK/+5yNyPWNbeKkDbwsegLH+yaisT1l6VRhTtHf 6WLFHBQ4LRSEd1GTVrjdvJyP2PcPYiObL1g8wNheBenlpyVUWqppvlzzrhPlb93d1tC5EnZQp3rm eJkDYTZXK0eCVZdDhncRKwsuODASvX79ur+Z69xeTkDbOUNV6wvhgg0YCpKU6m3OSn3lALxqvE2e 93JTYdw1cbbERaWXCJ6PnzMCd0axOfwvxxoT001JOBHWPHA4TvDxBMr0oma6URm5tCu2WDA3wL+9 3iWd9IeM5yAqJaJRMt+Vs2zJ0UzECoOnaTow+yYKeAeMBwQKYVEAnoOD4rDOjlhhPUGcYNkNB14A 18wh8RzGUEZKAPGpxAJbMmFgUY/DtgT+WJ6PiV0vEtlXlTEbM4xIPFe/zpiY4LcD7v+KiS4SPzxb jOjFYuQ5M8wDiNX9yQXnlYyPhD3/ds7zPari+SbFnpUOHFbKjfwUJabM8WBt3KC0PT0YTdtcgHCO x71acTz2k9NTdsHZ3tkqJonMOcc6sQobL34utC0+i8CyOD64w7fwpIZu5npUmopWr0aQ089TDias T0oI7W2X43ax+Fs++MJJLmYzNiLly7ugAbTYRUYwzBibL4v8c7wKwrVcrmmyntFBf0jPVttsAwTc CIcMohK0b8KRqG2UnQ/LZTpLel4DidUEYoHwKEvl0BG+2XFOlxx0TgiVAucQ8ZA8A+A0Dvq0z+Qt 6XcukcTKqMBxsogGCMNl2K6VgImuC2tprhzD/fp9yvZxTgowCV783lkTc023hpdMkF4sEFNd5gaX wv5gQfcn+M7a0sX7JP87lZJS7Xd7SS9z/F0gWOltnYp49smYg2rnRtwbXFUC3sq1VGgz7VdzYSvp JQw/ETFUElMcHCKgmuFsbK2RONiFKDMZqhq88U8Xl0uiWS7ZrmgwGjOPovkWOSwXKJfpVzyHpcsi bLpU+9WmZcnrt+MPIkT4MBAcBuAHQw470wOmlEYv8K+1a4DK+yTpk51LFb+XS9rvz+iSkPppSieL LeZwODolizVLmjig2XY/GpabNwnNjIiXQpDANcGpBK3hb43fBC5LxC5R/e8OJNDcXn9eiDaQEhBx gLbzb+dAp5kvV5ePwO7RfN7kp8IPcZvxOYzqcFFVeW1M8EoVIT0hcyFgwLmCYwTQv1QiDW4wI1al cUcLuJHpQqmUGIZCiORaUeru/vL2OKWDXiY40cHxrKsVLey7Vykq8qw4u/Ll5ZzDxiD2ug4472MY T63khMS2V18YbI4BUiC7RJ/YlOBUYP4AwsXiIuo1oklSQ05MCphN6j8ZV2U5qfizrITF9YeO8RFv lLumnhgAVUpp3QtPVTO4rHPRyG18XADw+rzek+xEiI0F8fDxbOyxHXA84LjYZr0gmoIIITciNHoQ 83BMGSR3oo/mLgQPBmxowGLSkg6Zm5rTdCBay5SrlcS6FiNM95YZX4HjwgUATXZNs2zxwnUhqamu r3JXFn2x7k+aFVsd1MPZc2G+nTUJg/lJMpk6Vxc9Ffrr+7CZzVVbGQYNWdqRZjHQGgL6NzOQvFyv /1aN7rpoZjYYOMIcn56fs+MuCFZDrT+SQDb13bLpzri0L+nhZxdiKjAaTlwiDc1oLaD2JpFMY7OP 5j56PDBzNnebW2vyWIfgcogXhjRmwOU8DlM9WDLmLv3OuUklmlIPOFMxa4ATlLS5B9xoeEGzJdEp RyId08lqRBerIT1fCWAsqn0FroOmDLQWhikTNpAUooT7RE0B4MgLkQh/A2MCGM358ByQzTPt5zIe q6YMCxdKGFs8VynHZdzZQEiS82DF/JXDR1Mipd/nBM/ZDrp3hHiJNf6KjWPd4hsRMph/lOhCfF7y i6esYS/awRW+K9cZl2HzwylHIp128RZbj3pZFCnjG3GbZa6vCwCOZ87PEI99yQ7Oo9Gg8Xlbd6oh qrW7CfFMu8yW8mPccku6nJ3xMMF1oTokhmW2F+Kjy8XoK8nMSyxG09aHmDvMBDJdjiQKqBBa+QOE djSeeGwONloyT3qTK3bUbZ6qa5mM03MHGqbG/T0eAE9a0H5/TjNoYwdbNGJAeMUGpxyHS0UfF9fP R3QwxDu43eA1Sczr58knzQ17NbXzkmGk0keqjW2SQORdWO3nHJRyQCoK9pL5VL7RcmGhfWHO3b52 Wh/pv3MdivZPbmSb9rFOiOyZCetXWuPS+UpLE9EqhpcJ7F9KvHpJWPbmzVi8hR3JsxMRJjkXDf3k NxQ7QIiCsGgHWLu7s81Zoku3T9NklupN56m52A1Z5jYBxvfHYnHPNk5Iwz2aMEED4ZovZ+KM7bzj 47pr85ETjO4lbDIxXVDnYIcdYB4d4bImGrEiYoPWiinklPLJJyJ+2SeSRlz28dF6RbsjiVTA/sMq tvqsOdrBQAR1r8X2Q6XDme8b1t4Vguhls+lDIOcKkvAUBXypmCcmPhc9Qzg98XR16VhCqBsnzTgR EFCE2CoG4hUb0sZRRJLJLvYtH09MrOwc23HYMxnmxaIS5X5wTPfyIVxXO2dvZPtsjfWzlNj46Uf1 xsQq3TD1w5f2/ewMoiDRzs4WJzNVG6LhWHCs0iSUip2XnD3uUspga+kzBAVUlh9YFwIMjkcw1kRy jEt+Rjia7iLsZsQq7o/oPwwOxJu9z76TstRNRDOpq3P/dFPZ5BeOE9LEp357BO4Bn2mkWAkjxPxf OKzKNUSE1cXPMtuNIyWIPBwRoYAJpVq/MA+yrglB0f+66sK7JdEqDk8TE8naGVsbjjmNEWbm2BMG CVyZTnt6ZrsTqvB9+p5yarBBBAfIl7OLjBLRgkh0zvtlmQwlesP0g5T628nKJsqJDClVrE2IH2LC XoebdbNrOpX1T09P2apdjER3QpzwAkHdDL/Sjdm1Z3lojbz9fCw99d3jzC3IzrOW8DbQXs3FfxHR E8JCdiMcad/ScUtdkQokBlkdxsKpwEaAvsU+qpbZuLUHNWKlLSYmGcnL7g1HrDjumVq9Sw2qRY2V ZZ6EZCC4EitrPKr9tCKgn6fCoZZX7D4zYoMbin+fOa9eAybc9VJaSeuBfYnOkYSAVm7TOGpf6QJu 1/ByghdEcGU8b8Ap0dALXLrz2SWnStP5ijnTAhTl7y/NLi0f8I7TP3yw/hq7nk+Zv8G6EqvKVETg YBCluhMwDOr4+JQXYmtryrcu20M5l5LNbw4zL1fQdHTfFGFu9bDy/xBffb3yuBaIA1vvczr0lUuu oSH5m1j5AsdaWE05Y/FB0oOvuKWIFNBozZ1/4CbzErP8jdNhimrlWEPpAGIdI0xWJOu3jkElADn8 FroLcegth6INxvG58n5b+67wmSVQcnGnNhWhQsW2pYvBOTwVPa14FPcz6VOCS3oW1ITU4YzdapTq 2ueggY6rS3HbqxRxhRPfXexRViSxOQ+kgxn3Dus0HI9osZxFl5wS8Hy+lSuVsFCWWdjM+TmpNF7q vLTf/4XbPquzbixq5eST4xO6vLiknd0d2tre8qYTkgxhTccnb2h7a4vGE9EkXaVsBrbHz3YSQ1WV oap8dpSF/ko2KKJCcKDC/pixJBAzzanXiYstgO7Rhs1A2HB4mEC5nI/4iG2GWvZLPgflUcfv6GfK lsSPqSgmAQLTGO465oRA+Ns8jstlOWe7E1MwObzrcB7Dsdk27adxUS6iGRrIiZW+mzAPa/kZRNU4 jp0do4ib7j0vzJTaadqjSrQdR+q4KOZwwfEPRy59HmKbOR9N3h8ub+FiTlvjCXNakNZzEbLUrkuE a9pm+CQ/hJuIGc0xqtIBlwYfg5dW3V4S43IwDn/DhuX4+ISTSezsbPtIomdnl/TD4yc0my+Y69rZ RtjjzcuPvYWa6rBcTCg6tj6HtkERFx85hSBWIh6O5SZ1VvQ2uFuOdeRr1I5dhjnWn7gUgBNiznEx IPpF9HYxPFGJWMUcTvg966U8wQTDiU02L+KmJQCwpgnRogUCl0oXAaiPv+21E5doHsI5UMxNPw/z k66XngMNP21xK33XElb9GfaCEnbB+OK1CFJEaRRhwNAOS/z7Pg3BJfWHHC9N9p4TqbXbKl7zvKrv ZuAkY7y6NGd23wVlABOs/KXawUyuOh1sxRTATHVWR5jgdEHTRVq3gnE4QCBWiMZweO2Q8wpqXbAf Gk8mNJvP2Qn65OSErl8/rN6DXcrm4mGeuSetr4YR2sKij7vlVZUt+eFE04P62biT05xZzWKdINTE 5MBBWI6lz1zss+cv6OWLl4xP3Lt3p1hfM3e52dxrX8SHsf0yra+NvSD1z7BD84tQWhdoKkLAqtxJ USueEG2LdYW9YT6zUfvMGmgkEHIrI4C6FWFLdlgxoXU9asViZWpECSS2cBJMgP07lxJZVTE9Nv92 WlMJ4KiQQ5nRSPd3jbuycxPww14A3buUIK4VbqnGgxgIU9rBLvhXiYVkYPrikl69ek2LxYpB9u3t qUmCCnsmJEjddhyBpKPfjIPM+9K1hAPQHbS0bTVtfoRM4Q2lyQrWkmlG55LdgZDTz+Fem4656tDe 69HF+aU3JgWxhL0brPk3n6JefV+Z723yCW/w6s0VrHYt9F4xnKLo46MXxMSqdLDjp+I+l4oqrqwY ar+zP21/I44qeq1MgEjtw5x06CM1FHwYBXdrO4fyjGBGoqQSIjVgo1l26NcYb8DqcGGybRvyKOSh ma24rJi4hSX08TreGgarRFD7fjU1T8aR1W/x9OA24zp1zgr1QjOFgwlx5OLigs5Oz8WTf2+Pdvd2 aOjcYNICvGU6BX6FpKBJKNr/ySUHx0vERDP9NNeDTeU3mQHM5eAg2zU+U3Y9bJirlTXtbG/LXO/s 0HQ68caOVyl1QSC0F3PgCkrh13Tv/ZjG9TBo6vpcHIuVEfl4y0qqEiaWjs+2H+qKRUTzxlrDuqRf OteayPDXEi7LLafcrwDk2hfROIoSC3PBmnZ1pHMp3DhyR1dGh7tl3Io6zUmYC3EZkosK75g0X+0l fUp9kmQSBNyzERutirY2vhoLKwaVznkY8bGXS5rP58ySLpYLTiiBW/7w8IAjMShuZQu+h4kDvkO0 0eM3x3R4uN9prE19Tbm/rhxSYHVLoliNNeZa69udcS6xXFaNDccXHwyZmGs9jD/gt2KWH0McKj3h Ne73GAuE+cglz38eYcAe3jq7b6+5IG4Fl6GcIHk+JDHnyDn2UnuFfriDKVyJo0nMulmRrI1YWaIa 5inizqoEPT8X5SNiZmrtiFVis6jnTgldiVMMz2qyW82IpJp+hw+CKwcXxeduIW5R7Otq5zKdj7iN 9LMwxyXePZkf94CIm1KPEkv025k11FSMecEhgIgFzIjfdd7emlyROwfd1hDi2Bbn/mu7hEGYcNBA lDj7CIjSYiH/5uI0LCmQcGj6NBqOaHsHt/0u199E7EHcXrx4wcQLoLwsmC5yToBqRQ9iYLtVdd4e 06rbbZRuAtTf7/BO2CDqr8hcKMw5SIF5wR34Sdi0ZHhHuX8lBQc28+npGe+Ba9cOaLo15bnVg6OH oktJ7tNArNQKvXXs9Zp9n724WWjVcP+hvVyETNv1hNYnjS2B9eZSExQ663fJrCAV1WIuaS21edsq N04Pg1iXIbvHnS0TnyFXk4vMK8ob1fLBcHnu/Vo5CquJ4RXibHXhGs3oNcy1d7pO5kqJvGekw75j 41NuXG4VJlgxENhczs8v6Ouvv6XVcs1iFm5ZwUrEPghcEIgZBn/n7m26cePI3IaOBeV4UZhUTJIA 5xDz8C5zUW5iwRmhfohyANNBnCT5KZxw7ZQEtjMtiNRw/foRnZ+d0fVr15jLAhA/ZreYzcSZGoGr LZ4ehLIdWC5CUKuxSGpvVe6/AKQiEnAiWBePHgcHhEwPmjra5gQm/8wS7Ol06i+Ri8tLPkCY5/pG rpXyAY9swcxBCZ+Ufk/FCfm+zs3mM6z4T696/mKvixhITh7Omoi5Qju/egEGXqrMPPR8GGdjZ1VY O3kmzpWo2mQYNsHyfDgY06oPQ88F5+DEfugPXUTZYujtGlEtzKN50xLMfCb8wMJaoc8aMpuZFxFX QVTxb7ipGp6NBtdr+vWvf2PSLMULgI386af/zLew4k6oionSbEaXs5mA4LO5+14CteGm3tqScDCw l8LfIUZQGGZ2K8ksFggKiOqE7t67zdmej09O6Omzp/Tg4QMajXY6cwJlQtX8biBWIXyJEmJJEpof NhtFoXSkIumk1E//bpingXP7AaGC0SkuF4kiCg3QQjYqXziq/k7HGM/rwcGud9ZdzOf09MkzdjK/ d/9OLA61Eq4SIQnf5fdwjPW0Y1ftaxvvoxAgz8lIys/EvTacW0oQA36kPVfRUC+gZo62/p3rSS+I htpuiBBhuDV3mYnluUgCYtQ55j0IA07mpJDNfIBIGDGwbdvNOUfbT8vF2vMYE++Y9rl5WVuiJptb IA0QVZWkAOeMOZoJh2daza8CusvgRQyQRYI7DApuXj4A7t/l5SW9fPGKOS7GnSBGOqNDPAt8CXZT Ewfg1sSJFLhP7U4swcy5H3B9MzZrOLx2jSaTW7S/vxtzaCVDPr/RmsWl0GaZmMXYRvMh1sVLz3pq ytHwdtQHHZesx5hWsIwH27+YMZc6GW+xWMCB+djRWjdYfcz4B/wQJiL4h8vlrbfu+YNUu+jyfjZB ELGo2xljLcaiupp/HP8/Yre07/qbAtSBwDnepHixKTEPeE6IN2V/D+30Gsa3TrhAuclYcmGjTthG CY454MggKzY6RuRWiHpw94quhMp6BWKVhNHO5iLbsH4Offo2c7Ylca7i1Aveg0xT2Ah1zFwfLtiL SwQxQDBM0BthXCLXnM7Yg3IKyKgxm9Hf/u3fMhD7N3/zN3R4eMifQ4v35s1rzvUGcW5rukXXDg/4 d5gbBO4jUPZgY2RFAsMutixq6aBgwACKcSC/+vJLBot/85tfOYv3+kHoeES8VbEVQ+T3QDAU6PQb POEY4/pSQljGknR20jpi+6kYc2AuCu41Lg09O1YTxDnxDEC+RdbEOKyvNAv4/vr1a+ywreCt2H9t itWFY6BCh/wLkSDsRRV4z5wL6MJNVXtTVBK4nxWuQ39Gml4vCbpxJHZHeZBF1ZzZ2OyGTBeNWCm4 UDkRUeAVwaMYQkGmbj30cFZ3eNSAz5zJPhTR1LivyQz5Z6Lz5dX+xUn14rNgq33xyuhJJBK+RHt9 Go2Bf065r+D42BIe7o8DBL4cSrA+uw8UdNcJjCcmxQRceNmFWLxqwDIA2SBST5488VopvAus6c6d 2/TW2/cDdfVpsXTiLNsc3zJtgLDngThKZP3G5j7PlzS/nNPdO3foiy+/on/4h39isfDGjUOfLLR2 E9slLNrEuHGkmIQQWYqJlR9OfGjjGyrJopv2qCBK6q9RbomIcMWPSh3YFDLm2eycv0c2aw6FPL9g jniEuFxJmjLFTvDzxo0bzGk/e/aK1k9f0sN33/FGrV1LIFbxeUmJdJ0sdefAaqWufCmexuJF4yow LLXj0I0fXyCM+k4gPCmx9H9HA+85UU84E+wTxFIbjaZcqRx6OMlDzB9w/LL0OrNjDiK8/UlVScX8 UZ3L+J1A+OH8vLN76CLXLpmDQpIYDaHEIL+T2nLwMGhIjWuOkUnh/rFYMvcEUQoGlxDvLi4vHEA+ p8ePH9Pdu3cZJA+aEnn/2bNnDJTv7++47Cdq1JgTKi+6cATE0oaxXEJ5MJaryQkt0Wg8oL39XXr+ /AW9++67jGtxgLfKrdd9MZo5Uw+m+n2chjcOqtvmQxfEibQPsQmJEVVSbVTl9hScS/oFjADEC7cf xEXc0NhU4LgEr5T5Ape8Wh3T06dP+fP9/T02FwFWZ8HV1jlM+lImVna9S8Q67N3SOjStZ13Dq+tR I5Pue3Mg7U8vAnmbLl334C/ISWmddl3iuSeirJ8McVj24h4Rc1GTya5o1heXTKjkwMPQU6J7GCyi A0GvMQeGkJUA1AqnH2NpDksdjens7A2/wkqzPhyioahpS90XLBHwxxCbE64rMCW4vLjg3+eOUGlg fLFjGtHBwQGNbgzZ1ODx4+/pzp07/N3R0RH99V//Ne3v7/M7jx9/R9OtMYOxYdPZDVYSdUoTGwcV C5vE4QAeaVKZOB8wizjDIV27dkgvX75mThAiDRJTXKXYm1C5zvyGtcTCT70fc90+SbmJXAywe0Xn KxKnC32McDb/3zIniUcZ82CziDXNZxf8/tZ0x2MgrG10WOPhNbFne/r0Gb1+/Zr29nStNy3x5WX7 n19Obe8n31xBC9z1HXEVyhp0u1jNHUqcGzjaGX3z9Td0dn5OD955h3772Wf08ccfs1cG6mCDXITw WYjCSuqCwSZA8gFHIDk5P2MPg/FkyrCLOsznkMJVuU8Ni5MQ5fT37OIMZhXyt4vF5Zyew2fp5ROv oyqgxH7QBQQAR/no0ffelEAiAQhgDmIDUJzBLgOk4ybARCKF1n//53+in7/3PnNaGtz+D3/4F55I EC9NhsnEMRpi6LBCJf7cR5dDKjNbrMAOLJgQ1IjBZDqmu3dvc8p6EGMVBfV7256tp47LpNySrcn2 v3scLSsKWrA/Jkbu2Qz7y0vR5qWpfSe7MNjs2HOw7ngdGht2vIa2cY35E7MQaILxGi4DcLGbltxY NIgoYR3qRCkmdnWRJhSzc4oLY99rWDjTXCq+2QzZpYJz8vrNG/bNxNl58sMT9iD44fEPjP2+997P 6PXrN3wZwNbt+rXrnKfg0aPv2Pbw7bffpr//b39P7/7sIf3iF//KKMCkE7Whd1OKmDkoTk9MwGIb MzcX7swHIhorjQJk0sD9OqKgBun6KPsSwlJ8PBIzApF/xdFRzRbS0hv16OjGNfbj+/xPf6BBH+9K ggXYNx3sH9F0axJuHSN2KvAcafY8DhQIl+S/owIhKQysQHCCw6oD/9YqysiNBcK1vT1h+yQ/rgyH ukpxd2xEWMI4muqN7+GYu+CxGaO6zYDmbs/6/rnID8K1Sk+wtoqv9fsSLhk3Ow4QNL4QC3GRQaHi ++tH1TbmWOQobejatAVRuwtRTjnX0no0ied2T4bnVS0vYJXWoc9XOOs1McwCTBhSycnxMf8NkRrn 6ttvv+Xzhzn9lz/8kd998+Y1E7Rr16/T+cUF3bt3z0WiTbGeQs8zxUK3OYoGG8C4MFfpdAUhyMXQ d1KQZyhUqWb3h90jpjIr1bpvhteuC/AMUcBb0Lawx/gO6uyjI2iLkLJKbCe2xgg3ssOEwb/vCbAh LI56OiJsemdFv3QCDdejk2e86C1waW9ly8lBEYC+QqN5ckJ088Z1GiF1Skk+z9asw4EwoqvVGG5c T6gwedngJNEcpQ+Fd+uAckvLln3H+4xDCp7CanPqsUkKLOjBDUDU7vVu0uG1g6Jav1S/Xye9jR23 VcYqy4Q/5yJrBLJ+kC0XkL9TOEjRvJrkv5FJSk4c9TMQooP9ffr000/Zu+PGjZtsavDmzRvenzdv 3mCIBpcqLgNoufH+69evRcs+gEvaIR3duMlGoJYotJVmDsuzjM3nwUdkSNbKKhqMb6N+6QmPyQKt 2F6+PuWLY6g5+9oHk/WaVdsgWmL8CaxI1eH5ANNOy+JaNb7KqfqobuaQCsxqjDygV0lZFTXr/oA/ IXwPcath8b1Ws4EHqJkW1EQ5c6fS1Urbe877rrpMOb7QqVUzvpQrdA845YiLEIHNMxqyAuPycsJz DpgA2iv29Fc4oDoMRSCdzVN+xDOia/ERVo17DWZHMS56Jr7Qwt/41eKChstLE/8WOfGU0Opwxf2M wwf3enTn7l36+KOP+fP7b92nV69eMYa1v39A9+/fo9evXrHU8s47d2/yUAAAHIJJREFU7zBxgmRw 69Yt2t3bpaPrR7yXh0YCiok8XemSMhXFRMsC+MooRPMWimJWESPm6w4G01ZMDNpKW1+578O227WJ GitXI0Bs16BqpnMuT5o4WLqPisi5Xf86eYk3H38S/40MvltbzBmA22IcJm2qgF1tJB5GSoG8f1cD ppN+XL2KxmI51JhIhGcUAObnVmvGBo+G4NJhl4VYXJJ0FbY1FngOHbfEIP6mVGw/YiWH+MbZoIUb jDTqT7c1qV5p9VaScC3I67iCY/FqxfvwF7/4cyG8rLEm+uijD5m7AlGCMTbG++DBQ1Z44bnbt297 uGb/YN9xMc3ptDYuuuBNjEeRWEkqrRhQT2TF8GRTBwrvhTeG3UHmUinZDIVJVE4jtykKf8vhcM9Z 6u6JTItIkzjXh3fLNwAy6ZxfnDOQCSfe4QguQS7SQ4l76jAf6fhFFA5GeiVx48cQr03V911K0/tV s41Bj8b9ES0ZjEfS2l0mVKhKQt+AqC0ED0s4mZbeRNxMTKxCCBQBeNPkDXUcp9aW/T1+tcDl6TeV 8yLcX0hYywC8mvW4cNZMwtbI8yh+sZg7aNqvX7/OxAmE/u133uZ3OSSSy/Iz8HZKwa7PauRsH0ql 89lueS4+86lZQkcIorENQ7QcrKT1FgP4dV3wmJXzn7r+WIxJu5EQL4eGF7WCeWvB6j078N1xmq3p mBOtPl08440y3XoYCFaRj71aEc6xhiNdDW9oAu030v5sIK4GKUDXyVhLs28pAONTVtEPBieA5+nW rZt82NhxlfvkIkW4GF7tzYc1Dmtr8cGgWRSlFDTczZq5+Oa2EIXu4ZLW1+BTjXMklua+bqajYofF mnIkFHG+cILvgNsSzE7CXRMb6YYoDNinW95Epqj46sW2j+nvVypd7pLkgo77VoMjbL7JOOBf2YSl IJaWRML6gUhHon8LN1NLrV5l8/3zq0ZThJSD85s48kJv2092o8p7wF2gjp86/K5UR5tGrzrKXo6R 5OMLYyvU8BPHk7drVxb1LUTh34raLBA6d9DnswU9e/6Snj17zoAwCMet27focn4h2VJcXC4m4DB9 6cmaqzay1t/mi1TdPtIkoG3zlHC5yQVawilFAi1wU7oHfVYf4aI0qsCqt/QxzzUSQtoXjhhr95mn nSHTTVlx0yteZo0jb1W+pJJJGGe+TkFMF0Jvs0/X905K/Nu5ML0cw3gj15yw8OXBZRu9wYUkH6B1 m2yeaAsk+mfNXKb2OWWCkP7UTUf09tv36eXLV7S1tc0cAjQyymW1EdC4NJKayviSTaEalx+JQ9Sf 7SKKNo3N3vLW902ewbwBLN7ePvcES3LSTfkJ9mdj/0TJZwhOg+OEO+wpbOJYxGgaQ3hONgn/AEfj GeVYO9VVBG2bcw16xzuPw+uok/GIvQHgRI5ICL0VuKhBYnJg5tRxG3LWJFqocmixs32cGWd9hYvL Er1GYtWGW0V9ysfUfLmnuE2NqJnnI8Ps8HwBdC9lYbb9N5WYJ8psay62hS65+NCac66vc2a5kwBJ qRiQaxe6tKebQRRAMIr97rvHzBXAOPadB29xpmhd3LLGLCyMVVHXSq+BoMfkoYkTi8dWKz8dYXM3 PogJh6WNb93SqwDaoXZ/8OAdjooBLaxuNhTNag1xiAnXYMTO1xwuBC4ljG9pjrz+BmJs4HDUaLnG FVclfTaSDbxF6SFda4HLNKIr4rSNadwf0OUM+QIuabGUUD7Q3NWLSdDADsCVNfXcle1DuV/tpb5v oj1X3V/2so/F0FjDl+zqwjn0clnHyzV+S7oYESx7GIM2prABPJcUYwHlDZfWXfou3Sx6m5s//TOp zFwWIcKfKjrqLQqtTI+thaFKhj8cjPO6ls4bJbWxs3UEBMYluqSNRKO8Pz+uBHxKJs4nLY2Id9mp GZ/DDuuHH56wqh3aKyUcdmOzJpn9FREwbsbaxNFwyk7vM+cGhANvuevAHdT2jtsPDBuVOO7kZvVD jA9R9pD7FSIbXJI4EsJwJFm4EV5ndul8LsVHrtcbtUgmyQE2acUcqxX2uMkSI/hcO965drkA48fy s9sJ4rCclsedXD+jvRLqKsEp9eqTtQm1VJ+1CpUCh6VEoEnWTX+375Rl1Awgt08mJzseb69lQmJu yD6bEgwrlJ6enrDd0Dtvv81mDnFdMSvdVMpclDs4Tbd79KTtc7i10gNQ0kiVOBCLFTRdEuGr+FCs izdq6fLqcTBGfP/w4UP67rtH9Nlvf0dvv/0WXT86zC8pDh2C8DaSZ/FydsrVjsZb/PXlxSlzd/CP s4B7veS3eulMRrulRVvr/SbZO2lM08muS1p7QRcXJ+Jbi6gWQyFetXqj9rn65HvjzO8xPbUC9/BM 4b2keA4nWlDz05jsNRKsEqdVHV9pb216cVrOLax1zplZo16flzBl82wHYkIiGmXP3BlxJj3o7enT raOmN0hzmUtCf2IxtC0KYzr4/FBL3XCAhm/W06dP2DDv/lt3HeEKm76+vmGyfc68+FhkXGJOZMP8 hr2SbpDmnIahrtpfZc42E/eNhbLOacxZ2efjm3VrCuJC9Mc//pFu377JIbHhaC6PGStyP0dSBwPR CCTHmYElouR4AhexKZ2fH9OK1f4TtuQucyzxOBkTK4oqTeKH7A8QKEQgQR+BvY234MSPfAIzurg4 FdsnuK41aO26zDnvR8WL3J5A3eEhjfxptZclGKJnls/NbQ133VTzbQlg9HEdiuky/sqTXnCqT2m8 5xoC+JUW2xwuN1X5+yUuoNxZI9Vm74euBNY4fz+lyLWQrmHh9Tuo4WHjcu3aNXry5Cmd/+GcHjx4 i11LOhc306WY43bDuYej71OiFRMCS7Bje64wjkqX/C9ikBt/YwitdRYXmz9Xt1N2lFh342uoBXP4 1lt36fatI5pOd2i5QtC4nLNOY37pFKC+YW/IADWeBbECiL012eOAbovZpePKEmxIb0hTT5zkoF6E i5IcBNBkjscwJF4zgZq7fxyqZYjgwYOIYy3jm/FYSwc7vbAgTrLGNCHk+qxleHIYYu04+MDJF0tG wNOvXb3pd5XtVbv4athhl+J3WYd1473SrBGLD1wkpydgcVmz04XK5iJN+ndZkyjPtA803gjybo8z +iChBkLlIBs0wGL4QRZrKGYVMtiTvyJskkj7fiAWZcVAPIaaoqL8TDzWSMMarUsaJ6ugdXLdjN8z bhbZfSTx6lkzOEUk2QHNL5ab37Yu0xJ7PLgsS+Bs2HByPJU45IhYyXZNzrnaKkHi7nuRykwWi3Xi FgPnfiQzmbp4UgildCbiKmI0OedtdUWqYSs1JVOXIrn23E83j5azNy2Z79O2m4iRu7z9X/E+iOtu FCXyvleeTefE0oVNcdbMGsHUa/ISptbu9dAesdjYzCI3d7h+YNsxpJRdLj2fcgnhe4id7//8XRYF treQhHXg8vuFPmj90he7QRIAuoEzLeFt6edWRLOEpmlzFD7l/0oKM8lSYqSk1rK2WWOK7Za5Vl5/ NLQijirZq23gRhMYpxAxRF9ncYawuWzfJG5US4TYdUkwoK0TairrAa5FRXTYP0HU4xyNnCVmRATs jD+f0QJ1IsmJtx5XYpfcNvEMVQ9jjYDF6xzwrJw7smeuhoGv8141nK348rw6F1QqXbh9/S6eh5ye 1OrWdzn92ELs2YZxBbXKUkLWlJU4rqOrLJt3OrTb+naFNc9EMrcZ9eu9/R22w1rMV/TiJZyhFxzT CdyXtF1L856Ls3U8Kt/on332GYcTQcwwRHM9unHEwRBREEkCkQ+mkyndvXc/0TCliyk/kQwCztxn p2ccgBGW5l/86Uv69W/+dTJHda433Noh76KaG3CbhossvYs3sbGQPkoDP0ZrQpsVMa2QiJwoHHWT 60XccnFngTkBEx33LDuzL0MChv5YghGCkxLipVbmLuEJ/rZis2JMLT2v3f5topEnVpUzUZckcnGQ IoLULmXoxdud26kzI93qKGk3u7ctEVaxByXFF3x/ARFEHBZKOGep3Cwl7n/zDdPc4Z+O2ncrYnMj 4oLbXNSnFy9ec2Yf/M3RDfsQF6cZjmZF4lgJkHKJKdHPx/nZbz9jvzHgZzAHgLgCQnV8fMzGl8+e PmMi9O7LV/Sz996lP/7xTxzs7YMP3+fw0zAjAAYj8fJ79OL5C+4b3j87P2Mg/PPPP6ePPv6Qfv/7 f6HJZEoffvgB55FMAU4njBS4QuUiVBwsGwxGFwvsZIYjznbSH7t4aMnz6Zo0bWLJai2/I0hEX29c 5/YEMwP+Dlo9cn9z3oE5z48SJOacFatzrjHxWO1K1cxM2ksdHrl6fVpiaae3QS32Eir3N37c37id CVW3s9/SSxcGOiR3Bfc78JfNeiCXlwfdAyakg6x1rIvsrkSsqePtrGHzANMwKGGO84UwHFcS/RRZ pBEUDdbunKS1wonUtD7mE9NWgcMzsbtgZY/vQLRAfFBevXzFMeffeus+R4A9OTmlz//0J9ra3qK/ +7u/Y6kHLkVffPElv4dD+ac/fcEx9rHQ4NbgbiRJQpCd+4y++eZb+of/7x85ZhnqBeGKsTjdzAXV e7JxmxQq8pVknl4nWZXai1+0wndpVus+181potwwVLTinI8cIULihXux3WFT7cWrwJv7WSQk6Rlo gih6HYleB4mhUlLtfPM5TPZ6JMaHsgkO1fSsWvILx7yKtMYQ3RG4k9cYnDKMinHpOBcsKF6G3Sc0 bNhmmTiegDqG9eNvoYAjFGovpEkKeQYDRwBThqPr19kmC1FSOa6271+88KHddpOHnPCH34G/oF2I niBOiDSJ3IwcefLkhL34YXYBAnR2ekqnJ6dMpHAoEXYE2Yi2d7bpH/7hH/n7mzdvSmLaOZxrw9wg Rj8+A9emKvCUIzS8ddLXdQS6B9OVFFwNv2DT4TZE8sv6JKWEvcs+ML0E8A4rfOaIBeBnMc8dAmBp IvbJ1m7ndswaRVxzTWxrx6jDdukIaZjV6KCfoDZLhU1B7rayCWdVqcFxT9CK4j0JFsqhiFxASHZN 6mvwvz6btcComMV74+Ik4WWqDQXULtbKlWV47Vz7YNPDcRXilYqxyUGsbr7g0qHjAoHQuPAgGnGc 6ni86W1XUu1ahUQYcvj9vZ//jN7/+c85TdaLF6845I0QStgBjWhne4dfBcGCjdhf/MUvmOjcvXeH CRDsnCBO3rt7lwnV0ZGEzGXChIgUW9v01ltv0d17d+mDD96n/YMD2mIxN4i20UwWlyjG4HJsrqCp 7YHJmdN4AmwQzs8/pdgfi6C8sV1CDL190/Zql2WML25SyuNpGmbM7RSkk8LVIc9bk4b4jfW6xvWX 1zIlsnavNgnlMtW5ZNFW1MREEkiolC1ROph7Wi2RTkNs8YCTunGCSEkI7gENesgbmpeEwwrAa9Lt wu/tpbhZslquuqltX1NiFbPpusnDwVL7ox4TKxx2BqxnyIjco/2DvUprKR4QiFeTWYeA1+H5Tz75 JU3Gku36/fffc5qsPt29c5v7A/FUVPErJmTIWH1+dkZ7+3ss+sH/EaLsn//5n/kZQN818iuCw33y V58wQdz69TZvHBDCLvhamL8wv6VLKbcNcoVNDxAfa8EEpb7Btf7uF1ZNG1yDKmx/y+JZ2iWny6xs 85rWrU5c5Ln44zC3aQKOlOCksEbPhBW2mFYMvl+FGWgiW3b8zXWpgsN84MfAXBJE8/6ac17CRQv/ JLGN5CVsLjKWSsTRhEOBXBkEpKTj5cFWNSEbE6g6R7NZKWk2ZdG3t5CyHREbhhxATRNVxM+F9oum DfqkUd+WLeCJdnd3fZXglELCzTxpKQoIFBy2UabTMIgtJ77iuenWVjRf+p1m4s7XyGJXcR9zAlCz uI+5LTyDjckRGjqXbpFq201jkk8bzV20Tv3O7O4KJ5S8WVHZ1/pg6zTtGZMM5ZyatXK95Lwpx2zr jnpQqCPB4K50buLC+KE0wtgTCkewGCIlmUS1mM0laaoSJ4iFoS9xP5v2w9Dxa24OLYdSuom74Vab bq5mrYj/xH3ebifUjpvFURhu3BR8aDqVzDpIZw+AO9yacXtd1NKBWFXs2fyca/TMXCvZZueTjY77 W7stc0Jf0nSmhomBm4o3VjrH0n9o41ZsKY4Nq6YR5XW/KhTQtTTthyTNfPRM+dB3sTdKOe64jZjo 8DstHFm8DiGcTg2Wifsv34vRrdijwTk93wcp8XP5EKGQGsEZPXyHukQKQZTewOus2GtAHMQRRggh hGBygpcHPsGr4bbdRZErB8LftTMeQiRrTdHJiUWDdLCBIyiIfgVNSlvJJ9HXFnU6P0DtBCQeT6gX j3Dar+NjevUSWUlGHFf7/v3bhosKGZqDaYOy5rk4kG/+uF2po++UADlBihdQNyfDykXCE97L5yA3 2kvnM8xN3GfdwNYAMOZKtO5ogzH9XdFkukPn58j0C9C+1G7pVu0mmnTlqOy62O9jzqpJXAzjtH21 P+uEqalYMdESxHgNIi2sTCwpsbLBH0sabDyP8D0vXyC44jOGE+7cvsMaVkAHmvJO8SbUxPlJlyuO YgI4AmnEJLEMTEUWHI7pxfPntLO7Qzdv3KTVasG+nyBsgABmswtuX7gok+4NiXnnC/ablCxbC+49 YohtYseGEhmOhmy2KfuqkxwIWCy+hOdKjTaJcU0sdShl7Khm91I3QTAcQmRlvKbJWAweFwtkAxIL 6uBUattXf7VwKKJ+mvRldSwkdtpWAphzVOsrciRNXEGaoDT+3L4nXYlF39wEQhUyYX/AhgYbmJPz duh3EwYV5qd5n8TzVt9v8SVsx5H1KnumZKmfcm7ShxhjKtWdHtQmfM7X1TN9iAG1aI/q38fHJ/TZ 735P337zLX388Uecx+C7776nN8dv6Gc/e5e/ByYKOz48/+WXXzEhg8Yc2mpUeZeJ1pANk//zf/6/ 6d7d25wB/mD/gJ48eQbIkiaTEWOvQiSXHlIBQWLvg/WaAw2g7nfffUhfffUV14lsQVAQhXWrmYmE 4uyw/Ow060vNotT/rpduxImfLNRvU1vl6Zli0cu2mfbR85LRR7BTgnkA/AsHgx4t5kgKqmxsyhlI 5E0QbXGFMbUlYp1vInJGrh2S2mLlBzCdyxoXEIhjWNp2zMV+Jn2WWzjF9ly7NjIsA6wjmnO8KMmm 1NRW6HY7MWoqTTdzkdPWW8U8k86Tqzl6zfa9NB5bl4YyjjmqmIMqKTRSout5wbXy+en5QDsWtJbn QCCAf4KjgSLkydMn9H/9p/9EH334AX3z9TecAf2Xn/yS/t+/+zu6eesmEy72vlgs6IsvvuD3/tXl BZ+N1y9fcu7Sf//v/wPNLi84PNO3337Nhskff/wxtwm7P7wPLTYIHrJZw17wq6++4Yw/f//3f0// 8T/+n/TNt4/oX37/B/rf/4//wFmubU7ROk4q40xiuttQIrUSDiLqVt81u3CblPotmHc4cudsAVQt HlRSDcetQSO3oK+//oYJFgDuN29OOOQMiFeh9kRcK4s65ed1IwqnZlNhNZ3LEnEqHxLd1IbUt84x ZeKfFYdDWzqWBAsLnRTO1GXR2drao/ninLVDGnWiCbi/aqljmg0TGl1kMQEJom67zZVvzUgfhgPI xMv4+TDPcmjzaBN+31hRkVxt7lkJx5T3CfgRYpPBpeWf/vs/029+/Sva3dljUe/TTz/jSwj5D2Gk jOeQuQdKGs7yzSGYrtPZ2QVtb+/R9s4pnZ2d0tdffUHT7W169OgRPf7hB848hXdevXpJp2endPv2 LTZ2BkeF+kEwLy8v6L33HtKnn/4zffXV1/T4+8d0fn4mtlcVJjQm5usEdI9W0Yo/tZs4DpXaRfYs dKmFHU+fLX0ndcjGCm4kASjUZwIXVmsb9iAAJd+8mdHTp2c8HoiG9+/fCRFCC1iQ5cyDaBTa8PvN b7pwCvK8ffnc1NahiUtSnzh7c9m6y0lDcg5NP42Zkbra360G/xdRXaEVgosMYknl85QSmnxzbl5q 4lTTG/FcxBdDKh6XnonFeP7dRpBYZ9d8o1jqwRizh23bvQhKEKNe11I8MMQZm8/pxbPndHJ8Rh9/ 9BHdunWb3n//Z/T999/Tr371CSuXHj9+TPfv36e7d+/Rl19+SU+fPGW8CyYxe3u7TPTmswuOJPvr X/+afvvZ75gbg3h588YNOjw4YMwXipZ33nmbAzni3Dw7fMZZq+/du8v1fPbZ79lv9/r1I7p16yXb DoIbyyJrROOMVwol8iUMU5iDgspGB6xF34sPfxvxqmtjaqX0bI07qLxuiGxwkYnrhvEmTAxwIyBG OX6Ox8MCsSr3IyaSkta9XxCXRMHht2XLuCvftBxCQy+TT0tYUXwBxJBMyPB7sSIaw00iEm10va24 KXOBqJxzqLJxqDxXplSrffm7Kmo2vyjD2ISwtF+cXTnfmqlLTKzM5yr6mVyGhRaK0V97TKxiqCCd MxCMh+8+oHv37/F+hjfFL3/5SwbXt3d22JQHXhMQ22CsfPv2HfHdW8I3c02jyUQiXYzHNKQeffjR h/TOg7dpPBqLN8bRdW7z1DnfA4gHLgUih+8Y0F+u6Nnz5/TixUv2Z0V7N28e8bgRzqmEQuXcVZg3 Z+kuCycHKWZdw6QDkE8c8aLnNyVE8aLo4rWJb/mtFG4rVemnVYTU2dFpTJ4h2j9ApIaJs8cCCC9J QdMz0ZYtSMF6b1+lrTG1xwHWNjePFdRUorqKy6DXUUy4YpzFiq1i6zdbrel0saL+qEeQkK3iI25M 3HN0PRFuZjichLx9bi46y1lXKPGF2DK3lv1JYYKGOkr4ocWX0r1R6kVMbGpZa1Ixfe3etTCCEqu8 DawFDI+Ba+v5gg0gx6p3e/vg4JCxKRAtTcXW623LvnWivLYPg2QQQZ0u9awAMfzLX/4lK644Ai3C XI/H/ByggY8++ohzKMDeES5lkGagrQy5JGNRuaZMw3MFX0L7eyImRESllwGCoYH6ZsmJRjgc9X2s 17fdXHk94RYPnF/AJNq0Rog0MGQ2GolWX168oecvnrNG5M7dm/kYGghCVvSgJvGpFRMKGzEn+EXA OK7cvVuKpZRywOUJLuOBYjCMe//NfEkTaH2K4kfgbnVz+0PEacBGNJufE7uKARhutbXZrNTrqRGr wt7065lzLKW6LTSQassjYlXZJ7ongf8aESDvepSb0DybXOxW2VTiWDzfj1hgbF0+4AQgqx4yFwGv kjAuiC/mI1wkyqaS9lrXGkRsOplEY9XhgNsCCI9zBKzN46/5tBTm106IFwmbeIXEudgvgMspV4Qd 6l0pcU/5bVW6Ldwk1eR1071QT5jwmHOwNixhkV1v6PTsggkWbhv48vFNkdoytZ6zqCOmP+VnrIIg HstmYlHJFim01XSo6wN6cblgUXB72KdBFW8IddiNzUH3HHfVkFAp6UvT9ylXWHgqO8ilosbSTWJ+ 8J+12Gj8ShuHXJ53qyFlTaJ/uhQxInl/Hddjxxr2QUx02Ul8rVmJ+hy9dbmeyzTAxU+jImSmSnmf qyWDH8znLk+D728kiW0iYdRccwoZceX8pFhRB7b7Jytd22ojfk31I2omDOBmNJmM2SAuAOPrbmJh sUHrBhMe+/EMRim92VXEzLoof7JY0r3pmIlVrQ+1d8XsQ/wbtW8/Vb/a3itr2xJuspVoWbeU0Jer i/Kbn5ewb67wHt5aiaEo9uuoN2W3GMTJhyU6O4wPJJ4+t7DhmLqbKDU/V1RcVMr/Dz/qfBwBy+Hr AAAAAElFTkSuQmCC