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\StormInfrastructureLines # 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 StormInfrastructureLines C:\Users\ejarrell\AppData\Local\Temp\ArcGISProTemp26696\Untitled\SQLServer-arcgisdata-Engineering(arcGISPortal).sde\DBO.StormNetwork\DBO.StormInfrastructureLines # NOT_USE_ALIAS "SUBTYPE "SUBTYPE" true true false 10 Text 0 0,First,#,StormInfrastructureLines,SUBTYPE,0,9;ID "ID" true true false 10 Text 0 0,First,#,StormInfrastructureLines,ID,0,9;ASSET_ID "ASSET_ID" true true false 10 Text 0 0,First,#,StormInfrastructureLines,ASSET_ID,0,9;ANGLE "ANGLE" true true false 8 Double 0 0,First,#,StormInfrastructureLines,ANGLE,-1,-1;DIAMETER "DIAMETER" true true false 8 Double 0 0,First,#,StormInfrastructureLines,DIAMETER,-1,-1;MATERIAL "MATERIAL" true true false 16 Text 0 0,First,#,StormInfrastructureLines,MATERIAL,0,15;COMMENTS "COMMENTS" true true false 50 Text 0 0,First,#,StormInfrastructureLines,COMMENTS,0,49;SEG_LENGTH "OLD_LENGTH" true true false 8 Double 0 0,First,#,StormInfrastructureLines,SEG_LENGTH,-1,-1;SLOPE "SLOPE" true true false 8 Double 0 0,First,#,StormInfrastructureLines,SLOPE,-1,-1;DRAWING "DRAWING" true true false 10 Text 0 0,First,#,StormInfrastructureLines,DRAWING,0,9;PROJECT "PROJECT" true true false 50 Text 0 0,First,#,StormInfrastructureLines,PROJECT,0,49;STATUS "STATUS" true true false 10 Text 0 0,First,#,StormInfrastructureLines,STATUS,0,9;STREET "STREET" true true false 50 Text 0 0,First,#,StormInfrastructureLines,STREET,0,49;INSTALLATION "INSTALLATION" true true false 8 Date 0 0,First,#,StormInfrastructureLines,INSTALLATION,-1,-1;U_ID "U_ID" true true false 10 Text 0 0,First,#,StormInfrastructureLines,U_ID,0,9;created_user "created_user" true true false 255 Text 0 0,First,#,StormInfrastructureLines,created_user,0,254;created_date "created_date" true true false 8 Date 0 0,First,#,StormInfrastructureLines,created_date,-1,-1;last_edited_user "last_edited_user" true true false 255 Text 0 0,First,#,StormInfrastructureLines,last_edited_user,0,254;last_edited_date "last_edited_date" true true false 8 Date 0 0,First,#,StormInfrastructureLines,last_edited_date,-1,-1;TYPE "TYPE" true true false 20 Text 0 0,First,#,StormInfrastructureLines,TYPE,0,19;UP_MHID "UP_MHID" true true false 12 Text 0 0,First,#,StormInfrastructureLines,UP_MHID,0,11;DN_MHID "DN_MHID" true true false 12 Text 0 0,First,#,StormInfrastructureLines,DN_MHID,0,11;UP_INVERT "UP_INVERT" true true false 8 Double 0 0,First,#,StormInfrastructureLines,UP_INVERT,-1,-1;DN_INVERT "DN_INVERT" true true false 8 Double 0 0,First,#,StormInfrastructureLines,DN_INVERT,-1,-1;INSP_DATE "INSP_DATE" true true false 8 Date 0 0,First,#,StormInfrastructureLines,INSP_DATE,-1,-1;VIDEO_UP "VIDEO_UP" true true false 100 Text 0 0,First,#,StormInfrastructureLines,VIDEO_UP,0,99;VIDEO_DN "VIDEO_DN" true true false 100 Text 0 0,First,#,StormInfrastructureLines,VIDEO_DN,0,99;LOCATION_ID "LOCATION_ID" true true false 2 Short 0 0,First,#,StormInfrastructureLines,LOCATION_ID,-1,-1;MUN_LOCATION "MUN_LOCATION" true true false 25 Text 0 0,First,#,StormInfrastructureLines,MUN_LOCATION,0,24;FROM_Y "FROM_Y" true true false 8 Double 0 0,First,#,StormInfrastructureLines,FROM_Y,-1,-1;TO_Y "TO_Y" true true false 8 Double 0 0,First,#,StormInfrastructureLines,TO_Y,-1,-1;FROM_X "FROM_X" true true false 8 Double 0 0,First,#,StormInfrastructureLines,FROM_X,-1,-1;TO_X "TO_X" true true false 8 Double 0 0,First,#,StormInfrastructureLines,TO_X,-1,-1;FROM_XY "FROM_XY" true true false 50 Text 0 0,First,#,StormInfrastructureLines,FROM_XY,0,49;TO_XY "TO_XY" true true false 50 Text 0 0,First,#,StormInfrastructureLines,TO_XY,0,49;FROM_NODE "FROM_NODE" true true false 10 Text 0 0,First,#,StormInfrastructureLines,FROM_NODE,0,9;TO_NODE "TO_NODE" true true false 10 Text 0 0,First,#,StormInfrastructureLines,TO_NODE,0,9;TEMP_ID "TEMP_ID" true true false 4 Long 0 0,First,#,StormInfrastructureLines,TEMP_ID,-1,-1;HC_ID "HC_ID" true true false 2 Short 0 0,First,#,StormInfrastructureLines,HC_ID,-1,-1;ON1CALL "ON1CALL" true true false 50 Text 0 0,First,#,StormInfrastructureLines,ON1CALL,0,49;GlobalID "GlobalID" false false true 38 GlobalID 0 0,First,#,StormInfrastructureLines,GlobalID,-1,-1;FilePath "FilePath" true true false 50 Text 0 0,First,#,StormInfrastructureLines,FilePath,0,49;AssetStatus "AssumptionStatus" true true false 50 Text 0 0,First,#,StormInfrastructureLines,AssetStatus,0,49;AssumptionDate "A" true true false 8 Date 0 0,First,#,StormInfrastructureLines,AssumptionDate,-1,-1;JOINTLNGTH "JOINTLNGTH" true true false 8 Double 0 0,First,#,StormInfrastructureLines,JOINTLNGTH,-1,-1;QUICKRAT "QUICKRAT" true true false 10 Text 0 0,First,#,StormInfrastructureLines,QUICKRAT,0,9;STRRAT "STRRAT" true true false 10 Text 0 0,First,#,StormInfrastructureLines,STRRAT,0,9;OMRAT "OMRAT" true true false 10 Text 0 0,First,#,StormInfrastructureLines,OMRAT,0,9;RISK_RATING "RISK_RATING" true true false 8 Double 0 0,First,#,StormInfrastructureLines,RISK_RATING,-1,-1;DIAMETER2 "DIAMETER2" true true false 8 Double 0 0,First,#,StormInfrastructureLines,DIAMETER2,-1,-1;HOUSE_NUM "HOUSE_NUM" true true false 4 Long 0 0,First,#,StormInfrastructureLines,HOUSE_NUM,-1,-1;HIST_ASSETID "HIST_ASSETID" true true false 255 Text 0 0,First,#,StormInfrastructureLines,HIST_ASSETID,0,254;REMOVED_DATE "REMOVED_DATE" true true false 8 Date 0 0,First,#,StormInfrastructureLines,REMOVED_DATE,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,StormInfrastructureLines,Shape_Length,-1,-1" # DBO.StormInfrastructureLines 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 13033700 20251117 13033700 Microsoft Windows 10 Version 10.0 (Build 26100) ; Esri ArcGIS 13.4.0.55405 Storm_OPENDRAIN_Line Haldimand County Line Storm Open Drain Infrastructure An open drain is an open channel constructed to collect and convey stormwater from developed or natural areas to downstream storm sewers, culverts, or watercourses. It is typically larger or more engineered than a roadside ditch, designed to handle higher flows, prevent flooding, and reduce erosion. Open drains may include grading, lining, or erosion control features to maintain efficient stormwater conveyance. Enterprise Geodatabase Feature Class dataset EPSG 6.11(3.0.1) 0 Simple FALSE 0 TRUE FALSE DBO.StormInfrastructureLines 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 xAAADsQBlSsOGwAAIABJREFUeJzUvVmvZUmWJrT2dKY7+hDh7hEZGZmRUw1Nd1EFVHd1dYPoFl2N EIiXeqKfEeKN38IDAvGGeIBGaglENyAhEA9AFSmqEFWZWTlU5BCZET77nc60B/Qtm5bZNtt7n3vd owvLvOH3nrO3zbbsW5+ttax8/eaLjoLUdR1l+l/8cMIHlFGWZeLBlnov65SpF9yj4kn+Lsuo69r4 yyJTLp+fVXWSX+dZRr/aNFR3RO8tSloW+glbZ/W3aourK8rn+uCDLF5nWd+xttnPs4zyvKA8L6ks Z1QUFeV5zp+h/CzLabe7od1+Q21TU9u2rn9Fe5GPrWtQlKm7rYPuG/Me/5ixw3NZzo81dc15qfHD L4l2ZahvTm2T0Xe/+3/T3/k7f5dmsxldXFzQj3/8Y7q+vqZvfOMb9OTJE/r5z39OL148pa9+/MSf F1OSbHYW/xxZpkfBvcrPBGPp5Yd80M88lfrz8nLX0H/49CH9Jx++oiP+BM/quZ9lNJ8fU54RbbfX bsxUJ3P2ZgzxHT7+aV3Rp/uK/mw3p7/Yz2iWE/0bx1v6h8drWw9TeVN/WS/bJltJfw10uszj43tc N7y7329ovb6gpt7p+RD0Ew97Rm3b0MXul7Rut/RyX9FR0dA8qynj+enWN78vponM7rIt6Uf7I3rT VvS93Ql9Wq/oOK9p2+V01RT8Dlb243JDv7dY0x8+WNl5iIzbVvUfl6Xbxv/LcqqqBVWzBdX1lnbb a08GtV1HZTj4bqbEporqCK8RYqJ4CzmZh3xENaInuIIRs5UWAgjpF5uGzqqclkVOJWaU7elgoINM rbAaqpsRaomkBJP6gWAqipJ/R8Y8cfUEu7m54Govl6csrLY7MenlhtDrm+G6SaFm+0Tnxf/FJDDr iuvUUAbhqQVaTFhjPPK8ouvrNV1eXtFut6fdbkdVhc+uabPZ0AcffED379+n/X5P+/0WojApwG+V vLHvLd2xF+IpmEu+cFDtVmNC1GV6TMxCynLd1xjPnL9r2prf3XYZ/el2Tp/XJf14X9GvmpJ74yxv 6Tuzmn5rWdO/dbqlh2VLCwxGIIjDuuBTs5nbsbQCTm742FcKms1W9v0agqptVL7mIdFmszrxfFUc 0a7d0P1yR6/rit60C57tf7S7R3/ZrOhesaevlzd0P9/T02ZGnzULetbM6PNmQdtGzfFPqjV9vbym 7xRX9Puzl3SW15RnLeXUUZG1BJn0RTOnP6sf0D++WNEfnm24XhA64YZr5mjXNdS0eyq7GRW5Fk2m f1hYZ77AEoI/2nDzYic/k8IqscpCNMMVVttK9HmvErIKAn282bc0zzNalQWVereLF64FHd7TggII Itw6YghBtYm48zBxi7Li35WgUpMcggACd7dfq9/blr+vqrn+vqbl8oSaZs87dNM2emcWg2bKm4BS zHuhsJI7vZkEVqgJ9BVDIowMs4Kahujy8pI2GwiijD766CP67ne/S7/9279NDx8+pLOzMxZeeP6n P/2U3ly8osePHo7WebA9eiLahohGDW0Ysj+mpN4GJMa/yol+f7mh//ZiQf/w6JrRxs/3Jb3uZkTP v6DV5U+oKHL6YnZG31u+T1/kZzTPO9p3RN+c1fTVqqZ/YblmoYQNAfNxkXc0y4jmGRawKFZvZKla yuGR6EJhEJMyqqqZQ89NzYikxcYfydu9qfp6VhzR9f4l5VlDZ+WO6i6npsvob+Yv6dvtJf2yWTJq +n6b0/1ix8Lrby9f0SJrqdPCdEYtzbWAqrKWCtu3WOtqnd3Lt7TMGvqn16f0b58QzbHsBIqzmoCY 923TUNM03L4e6MnIF1hyhxZ7dZB4G+qrUoeqBKY8DQc91BMbYFF3/HNRd/T+EsJqyi5sEAj6siPi cdbvZXHUpFQ5JZxQB0wKCCYInrrZccfyBOGdQaMlnat6p6C23dFiccSfMlxv1M5sMHN0AYW/99oR qHNS/bWC0OoZGsWhTjxbel2FNjZNRxeXV7Tfo35AEarfF4sFnZwc05//+Z/T+fk5ffjhh/TmzRt6 +vQLars9vffefVosF4P1HR0Xj2Iw8OH2+U0qS/yDqTwrMvp3Tm7oH18e0X/88pRO85aOi5bulwWd U8HC+ujslPa7jv5a1tK/Wt3QUa5G7yTvaJW3tMw7qvzCXJu85ON90+Q+2nJjK7ukYyokt6ogUoP5 2AphFaqcPA1a2jY3tG/XVOYYM3yohGuhUeUib+ic9vRBt6Xf6C6p7TKaZUCHaF+jgIGdZ32QIPQX XtHzrKFVvqdXTUufrjv6zpFBU4E2J1LbNbzJZ9mc15FdMzr5Akv2r6iMvzvF+Q85CMkvvXI0vzKk NhqZYvRqICS9T2zbjmasBibeF1DSChPmmBTEV8IoV+iJVSUIGUgyDB6QkRZO9Y47Ue12RpVTHetX VZdnBV1ORTHj3zebq17HGwFskFCsj3p5pzoz9rxGV3aH1ijTPpMDVVW02ezo8uqaBblaNGrhAC2i DY+fPKLdbkO77ZZ+9KMfUDWraLmY0XJ5RPMFdvmBuoQb0BTt7pAk8++thPE8JRf6eJbRv3m8ocsu p4o6FkBHZUltM6dFRrSqcvr2DE9j8ba8eI2gUeW4xWjmnCsoQQaZZ7GZCDXUICunGQv1qesoL8D1 zPXrHY8P1Cn3bL+jW2poW1/QvlvTrgWXpvg2U2+1myuhW+U1nVBtv7daiq6vaWO/FM0T6jWK/y6o po+LC/qT9Yq+c5SYBIHKy6ota0Lo/9p7owwFhs9jUV9ohepEbEaMcFf9+grdz8E7b2sx5WAhYYCj HKuEkHahKhLZICf1t0JNUgi1nSLBgZqcYDLftZPXFQQf+CwgrDxvabu9UfwChAEELM8LQYpOEVbi gKJ/mCGeFfn3K+zKQfv3+5Z22zVttztq6kZzNYqjQVnHx8dUlB3NZiUtl8e0282orKDq4u8FFQW4 jHeYogMcpMPk+GBZ6JNP5uAea7uToDufNTt69uIV98uDB+f0/nvnzM/0qmoWcIxbDBujlRT5br9p GQsmLFrDo2VaGwE14dTBHf/whjPQQCDifbulhqH9NopugNwyVvKY9XR14bL0zNN1wHpR1Hosoa5q Hq7yhn69fEP/1+4B/f3dNd2vAoEqBJ/JX/FZLXPD9X7jAaGytzuIjESNnUrlkX/pxTOWYoIuRXRb zoZVqWD3EQ1lIVGohaeQlBJMnvQ2pClQFMskxUEZVDXUvl47I4vKkPDY8fb7NZ/eGBI+VH2tPI4U 0+O3Bg8BfNUSkzdWcxZILdHN9ZZ2O/AegN+dPsVUk2Q+n9NiUVFVFTgwtIJyNqtoNjujg9I0bT3y Wsbk95eaWJCjweBp1EdMErcN1fuattstLZdzouyebZOZk9GqhnMjJpTsZgWk76gItdmp323ldKYZ OLJSoSskHHwYblZpLf1uxxhu9mt6fvWSHp48tLSBPTG2pHdHu0Yhq1lZ2fz2TU0vrl7Sk7MntK33 tKt3tJrNeXM2tXP7r+FNsZZqmlNLH5Y39N9tM3q1b+m8KshsdeE6RmFm/aAPCkP+Gc6LTwkHie/E dxGuyYON8pTjAFI0lVRn6l0H6Kgo6P48o6qcUWkHWQ6uFFCaGMf/WixQCCpFfDv11nA9Icvv6tZr h+AYLXjJMo08ANPXDNWZWwjVPomuQi5wYh/1Nxh/jYScCCbXdlszT7Vea8RnOZCGSeWjoxVVs5Lm 84rqen8oUH5rAmzqnHknyUPpRMfHR7yANusN943tEzPfJVgwnwef6eWm/w/kJIWToxDcS0Y1dGjf zM2CTWXUkmdhCvQuWWdDM1hlBeiqoZv9NX1x+YyWs2N6fvWUHp9+QM+unlJVKOZtUS343U29pbrZ U5FndDw/ofPVKd00G/rl61/Sk7MP6Wa3puvtFV1vQbN3tKxW/Hfd7ul4fsp5besNncxP6Hi+oCLb 0VEOwbWmmy6nm6aj40LUTx+ClcVMHWrp03bFYOBBtYkkOazbJHviJYXWQEovzFA91TBYqyvOzqmg 2YKYw3K7hDInALKBCgdSnH/XAiNaX1OkOWYOTu56z5kdhCdPX2ob+I5JBIFlVEnLH2khyXDbzuRs BM3pE9VETykexamB/o6lyq732GF3rP7t941oB+qXMXoCqlodYdI21NR7emfplqjrraXYZhtsSrZP ccLHfFHFJh7ou816S/PFyLIxp7RWIBVK3dLUhFTx1MaR6xNmzN1GH+iYuevMGrK8YPs+kzDPwLOq It2hS2cgYgZtYk+75prVQQitX735JX1+8UsWXD95/mP66v2v0cX6NQuNk/kZFwU0BqGzrXd0vrrH ddzW6uQYwmyz29Dl9oJOF2e03m3oi4vPqSpKatuMmq6hq+0F7eo9HS8+4s6cUUffKi/oi+4ene22 tFxk9uQU/TKbLdn+SlESijvGD8w2FPEeCKzoUtEEX5c4pfJ5EmHM2OPEpqkyZhClEZnZgdTH6ntQ heu65aNUY1ZgfqSt1hA8SBp+RtQwVz/RDr3oQvlsuDHAdHVq445x+RXdp04QBYa4qqB43UN+LrIx SISl8s1pv6vp5mbH5Lo5cDDoCrsZVL/lakFVleuDATWOEsvdGfGE6pEkyLv0c2O2cG+1TqZe3ncd 1XVNFxeXtF5vWF2GGr1gWt6gHsXX8HwV/Kg8cZaqF+eqT8IwZ/n02ZjHBNyOqpMbizzHeC301x3T DT3qRtA2EHoQVpvmkjdJ/H21vaJFteTNdF7O6YOzD/nQ4eX1CyqB3jJFD6BMmOCYw7EyL+n19Wva 1TULciCz1WxFu2ZHy2pJ91YPaDFb0nq/plk5p6ZzgnSRt/Tbs5f0f24e0YfLLZuDGLNJgzBVe9b6 xBOIf0ZVteRDsVYLZayfnuGot+gltNTS257auZXhdiSxQ/kzQPYpg2K7+xhdWu48eM9AZCOM9vWO tk1N67qmq11N9+YlLZiv0ognINvVdPMN1NxcEISiFLID4NCfTP48aWqQ63sqy44WC0w+jVBi5xER +yv/AWPCMeE5M162LU6wY1eC+ndzs+FF50hyQHBYb1e0WM6p5LPq1p5i3soIdApBnkq3fe+2KSYk xfgq/szNicVixggUnx8dH7EJyG7X8AkpBBTzTzwPlVrHvI5Gtkp1y9hGCovRICd7qMMFO2TsSO2Q g1LoqvDUQaj3OB1srYbg2qjqXzdb2jZXtGu2rModzY7p/uo+7duaThen9PGDj6kscnp8+oSFz7xc 6HnXUlUUtIQaQw1VeUnvHb9Pr9cvaV4u6WxxSvnqnNa7GzpfnvO7EFJVDoEHMwmi1WypVbmMwcVH 5Q39p28y+sOTjK7rjsoKwgfkfUPbzZWY86bNSojnRUm0121qWyWwYpudn7Sw8sY9JpYcgWeeUQjD IQ1lPqAHV+uqxnXF7DjmRwkrJVx2bce2V6j7ezMlrDzXmynCINGyyJGD146xz66u1vT8+SsmsMED HR8v6fTsKFITQbgLA7pkYkLXR4y98nXVXV4QVh1dX28ZFRhOwHAF+KkWC5ovF2yZ3A0I1yneCpPR UAxljaR3hq5iw+2p6O4BJdxnvCG9ePFSnxY+oLPzB/yd0QRw0MEGnGyjh/m7p7LChjBTAmun3XK4 iPhGrqy57Qfe9yDlZxACAl3ZjVchCvur+rejutvSvt0wSX69vaQPzz+k+6tz/g7C9mjxmNXQWZnR w+N7ltI9XR3ZnICUINS+9vBjW09Vbkd0hLyQUC+Fy5eze0R0rlxwYPevvQQAP47okmZlQa+3OzqC wTeWMG/+SrAZgW2HSJ8UyqRYxAE1SqvP/bH1iHV34mCtWLEgjeuKMClQNj7gmzC4Wz5SVyb5MMxU C9r3YYQUhhuEOrb/cKYgtrXN8miJMeQSV1kP5T5CswEgmNNTEI4ZvX79ivb7HZ2dn1jbGGtKJ4TV lLKsy5q1bk8sYMOHtBmf/l1d3Wgi3edasPCWRwu6oAW9rAs6zrbKpSKVr0HVE5L1r0t8l7KyD9v8 zhGXdzIR/G6TONGFGUFRsJnHarWikolhNY8xzpjHSq0zlITuN42KcKLH5PGUFJhEyM/zorL8FRay UQdTTWi6mpoWhHxLi9mMPn7wFf5dqWr4zTeB0Rpwv5usb6G28zLvWJEhEb44WLKZqD9gnPr78xf0 J+sn9Inl8Ayi1D6sLDP0aT/zweaklI++OTs7o7vUjmoNxRyJa0lkfTJnBBIG1lmHGwJN6eu73YYJ QMs1iYLlUb9VPW0PdrRuiS5roidLNKLvRzeWJL/mM2+3VH+C9PDhPSYIQXauVgvabjW3oJEPo8Tc J+DBW3h1C+oqF4z5vFcHQ1wyMUl0fXXDbjWG6DXlYRxOT4+Yq9p1HT3bzOhVM6cHRUZzUtbIt0VW by2lIP6XJcjCuiCxyQfMQK7p8y9eMPl+enpC5+fHMF1WNoHWsdp5bZjE3+vxmeoJEusGvA9BmWn6 A4hNnQ5SZNNWvzctuKKNM+WBIehErxDZBVG+NNKU6Fqy4CWnWVHQ7yy39F+vF/TX73c0K4nKoqQS aiTkBdA/tAFtCyj7Dt91jTJ0VWYNoUmCrqgUYgoxQV9XAgnHkEpIKZlnBBMgcbPDSYdS6VI7NC/I 0JXAJv8D43ACNxzPYttOkogOj38Cu7FEYQerHp4/WOabM5yeLqnrQGrqyWzEjpE9I8LgIPs03jAK 2mz2LKyA9IygUoPesop6cgInWZyc7hR/qN/fdgVtqaBV1j8VvI16nWyTIPqHH3xHPFmqrBRgtXZ/ qt/ff/SAjk+O6cWLNyzAlkuceynuSGal2ujmn9qctVEuK0XKOdm1KeCvEglkOAholZTAMhsep2AN YIOCOgihZYHGQLtHuzXw5wNNYTbTsXfxRFUu6f2Tb9In1Yr+y5/N6eHpMd2bqegWytRImWc0uxtn hgQKIyvo6OicUSrsw5CczuD0D1WQVuUgkMDUK+ttY12LQpQnv+KZYLNjvdhMv7pFJkakZ2waqmhc B7dAa3ADHdGi6Asrb6BHFkNUKE1FEsH2Jd1d0Km//OVTKopXbAkN6/CwTYC6SrDp6BQaQRpBNISy onWEE2g5Y/L3in0AmZUUwkpxDOfnJ7y4+ERKh7dxijQEVkm7ToUDiS+kLxllfdkpwqm5sdDKOI70 t1t69uwlPXv2gq38YUB6fg6OUj9j5yROho29lepHEO1FCfRQ8OGMp+8LuiBZRVYH1fpDMtqKTYIa MbnU7Ya5KyV0w7VhJ7F3AmnykE/1k5TQko8bmCc42ctnPF9B++RdTj+53NMmu2E/TD7zEXIg3NTQ Xuax9Drg53MbhUBZ2arOUf5khghnb3BjPmBbCKM0B0h9XVpKZa2velqNLyB7naJ5gJu6pU2X0XuL ibA64mrk6hsIzgM4mmRxoBjPz+lXv/qCLq8u6fHj9+iI7ZnavjtT6Ow9BdFYjkG9owj0nK6vtnSz XvMicDGM8GzLTstHx7BrMdDaqcQ4xYFDK8z+4KUPodV24A/u3hdpTmgCbzdk8T5Wranoq7sdMsR6 ODlBxI2OzUBOT074JC2mivnbtrE+19Ew+MgoXRWvCdpkAovVWLZ3zF1pVbT3rMu37nbMX5lce2T2 hI36EEAbm7cW7bUtrXdv6LOXf8Zo6l/KjujPrj+mumjpGwv4axrLAPWWor2ceYYxcTAZlkdHyjDM ndLB4VfZEZmdWposmJMuxWvJIUvvyLarDCE5OHPMsKvfUAMs/coYbthyI/r1u0IGoQpvI0hktNvW 9OrVG21GsKOnT1/QkyfvsSGmbcSQzi++9wwXIwIME3e72dPlJcrzdyTlrJyxCjhfqONlV4BIXUdn xZau2op/9l1GO8ppQc3tVcGp1MiB2b7VcTw4K9comH7cOz+m+/eAoMG5wO1qEzyuoh+E5Vj1hnms eD2GugXlGUfntlUCa0jYMG/c7ph0N5lPFT5h9cbfmzZXgO739ZrH8zeLDf3n1x/Rb9zL6RreFDhZ RNcI7rrpOra1ZMFVNHQyK1kGoNnlGjYQWvC40zkxVYLj0iRxdwdyNIwRZAQoIjJgXa50+Coj+FS4 DL17Bad/o5Ncj0L0uSkjq5uvds2cLi7esBX06cmxstcBSuUC/H5yAioi4KMqs3gXpCOjKkSVXFPN g6n7QkeKBKEO26qygGpo8ojvpEf5nn92Xc5oq8zauwuK2LRIoK23knesnLeUHPp3SnuGCA0FsQP4 ZlPT5cWajo9XzpGwp7arOW0EFsbQNsW67/gnq2m/OnWAta/hFvOS1aRZDl6y8BynFbraMH/lJlVA wYj85WepLvSXtUC7WvUdGxa7DDQFssxqaptr+v7umJ5mOb256eiKLeTVO5iJCO/z1xYNB0LMuhsq yjn9fF3TvmmoNKb9stNtA0ZJUr0gNK9zG9gfJis0YcrQgqYkOjWxPEwvhO7yty7s9pNdCVmEzd3R 5eUFrdclPXr0Hp2dHfnIUw9Uv2j3fTR/bSKCCKDrzZY2a5DqyrpfoiqYKhgDULYL8pBnvJ8Kaum9 8oZO8y3HQHLB1+7WJ733w7zeZt5fVtJzHAgam8V2e0HX1ze028EYdE/3759Ygt5oD2a8lXBScaoM v+g3RpQRSeB9jCkDUMp2f0VX22dM+K+zN1RmMNacU1Us2bYR5YK7wmm8rcA7TuEsixVpzk55+PKc /sHyC7poZ/Q6n9MO9qCIyFsgsgMsAjJ60ZT0z67nVHeIqdVRe9HSs+0pnSMml1doaFsVfKa+6JsG TNqRJ5DbNg6QHnhIXQz/TLuU2IqJsl39R2oxxAtKrimFEiKfwZ7s9PSMLi6u+EXY58BpNPTrk4a0 hySofVgkN+uN4KoUqgLfeHS0ZPWP7YKGUK/3keJYltmeloXyzPdq9bYn+QCvdVByJNGXL7R4GeS0 Xl/T55/jgKWk999/yByhXB9i/3ZNNlFutakJTs9N8oWbv47UyXNlDScbWKtvXrNAUiVsqc42tGtK KvCTz6nIKto1Nzr0i85npF23HhKRsVw20fwM8a+Nl781u6J9eaVtrpQ4Q9z7KlNRXC/bnF7VGf8O q3nE8NrPMzrKdEz3/pzyLbItSReEM+01PoGyYryIGSATN0f5ZvUvZeDTLz7dMkvL2IWFKmT/Uol0 Rf16pNoS1jccACCfm5sb9uiHegABYqKQHuK/2PMiyOHXRywIIRRxKmtOGIGqFos5zeclx6pSMbB8 dTjm0ym/t01IfHfnFJykDqKuLytN4dkGaA1082Je0fk5wkTDzw3CxM3JfkbuIAQmLgWBV8xZ5XHF yL7xQYERViaYIkJwb/YX3nPsIN3VhMPHPFszyoLFlTt5PKSjA4EZdEkKRU2eNeICjTLr6Dxf07KC kFW2lbLAJzjQ0Dx7ENAkHnHUOHWaygkxkWqrrXkqYEO4m/gv+2E0eJD1M7hcghelySWF1G653lRL heGqaUSYbwBD0MkvXryily9eMdF9/z4mMk7cmgll9oWhcTKFvNvcIKqC8k+EfZe5JKEscz4BXGoV 0POhfEc2VLdOU4n4OxVxoHP0FC7MW5n+ZoDwMtgs4EmASzlOT2H9fmL39159tLA2h1cwFYqXFZgE wRRAu/UgQcXb7C5p16wjdVZ1VBvlzq3Y6PC7FZjDPQ5/sf8jfs85okPdbr3gfbHUHawmunVvIvua gABhvrAIeF7n9LTJ6XWTM8qC+QMSVEbPNcdHV+7yhkF1zsYEMgaSlmEbTdIOSQorzk0XDV6G7Zgi pKT83YumMEU1EieN9lINIbQ0p91f+ByJMqOm7jhGEmx0cA0We7Zbp+rEyoh87GyuIKwyFlLwTYSA Mg7LyBfH6Th5hB0QiN6k4I42fnwwQjuwOyXjAyl5x78K6cAuU8PlomfiqjSMN8x8jo5O9OHGcKY8 t7WRp/U+sBSM/Y+XDNlufED39YbWuwtP1fPeszdG6bUAUaSNVTFXWSBpR20WGIRwN+pHPQP+K6dt fUnrDtfmGZOIQ5LWgZAvl4+/XRlsyc6fQzjCxlNFhjBeK+Cufr4v6NNdyb+jz+GOd9NmdKMF1rM6 p9IIGah6LDB0qFWDrBzJH0SBtP5EekCDQfLdS/qD6L4Tqp1RaaC/a9stBML3LVtk+cFgp2icGArx DNWMrYpWa80QSN7Mk48Z7euavfcREeHBw3vskuNb/wa3o0R8EHXv8X9BqCPAHkh8cwxuLKdx+ohY VbNKnRZNogwFykoJIF8FyL48VPVlqYURdHxb9Ik3IKBOT47oyZNHdHR0RpvNJbWNDjc8sIGYsNvW RYef1WGTbIAALGr1r+SuOFLJfkP7ZiOCVKoaKWGg3lGhZbQfHgso/CiBAW7LIBsWTvKEUBxgVcWC dm3F3iqy3bJMU19Vf4gg49sLAanKLrgsCC5XByNA5ZDgvV2X0ed1Tj/dF/SLfckC6itVQ7+52NP9 ApYCrgb/y9Xct3RXQe+UIDCxk1TuIeGtKe7A3zWLTMghoSW7IUxmaNroZJBCTqOkgTv+Ym8ag75Q f7ax3rU9CL5U1rhSEBFHQsDz9+6d0QlHpVSRJ1Q+hgCUqC0urFTAP0RX2HDMKqMCKoNFBDeD0SK8 541d3KEk/pegm8WKextE+ztIhworaXMHlRC3T+W84wP1zmgLgWU0AOkuY6eAvLkIxtklT24ZkDL8 Xbm/Oct2BM2DICiLBQsIBRJyKjMVShiXiZh47EZYmY2wR88MNJ+J+3xGeQvVk3OziI3z1wLKRlzJ KsVB2XK1o7JXkFxxcm1k9KrJ6Se7kn60K5ho//a8pt9Z7umYbyTSaqDQJv6V5S6Ih6VVQOU17cK3 9JIARt7C9zgmR/oZDszb3aTepbtHKIjCEr1/u7Qh2FHPnqAKDUlDXTlw5o4l8GfbBicWHYfAqEQo G46JfrOhn/305zzBcA0W4shDuMirloxATyfVP/s9hNWN5atM+0DoHoHIX6lbcG/levRlBML7q5Zi 4yq5a1kLAAAgAElEQVRVhtt2g6AQsLEjhDQMOrekTojV3mYQiFvgQE3G/xaoaT4/sh4lrHBqGysT 0A+zT7nBqdNglNM2Ld8luMhOtZBQSMZVTa0TlXwH7OjhUSBLjFCGIKryJXVFq5GZEpxKGKHcajDv fqf3+9DMQ9yD+L/fzOhPtxX9xrymv3eypveKkC/xjdY/qLRZgxUxJjqmvXQzHpIlLiQcyhkKJeIt ZC9bgUo0jFbqYHD6GBjKeaqdGAhnlKkVz34IbvGcM4KD7+I1zAkQ26rI6RjWgqJchG/56U9/wcai X/3qIw47ApXNGt8KIizqHyUmNjstX2/YxkeF0VB5mCigiznQ19br594t2QPJV72nPXvnZGzyfD0s AcVvX4Yar+mcZez9sWe8C4Nl1mwQCh83CB910IINxkRxlRyUvTlav4OpoG5pVkETbUA/pmI6vnTX zBd8j8CVULXmxYnb3L1oJYqqMZ4Pzm/V2D6Zwxml0nqaD65009+bLllWZ7Sqzm0IGW/+BP3qu4SN dGcQiOBXdUF/sS3pD4439C8u935oGr1gTb00k8j/lspS2unGkrsy1roSM/FV0yI8sOyYgAcfT1Jl Mldu6Y4JzSNU/2nEZGSMHhxVn8ASS/axuOreeOJj54NA5JtztOq3aVu6atR9h+/PS+cOJAYERpq4 ERlhXK6uLrkO1QwEbKFVZJ+7CgWp4R5ArK/XW60qmPsQEbF0xmomB4LT/oiyE26Dlt4qoT5eWHQX N9+93aIifXFHHs3uz953TlPASZ874YKHwaneUJUqh4xVAErEgAc6Uu5uiNogN9jehRPiRhyjDt7U e3qJWPINOF3JX7m2c1DrtqOaiWq4sOU8f5VdE1+LGx5I9ugaY2Mcmu7cdQMLh0Hm9z9cLejXlzV9 bdb0NjclCyhgusVV9Ub3duYDSjDFa6EEiz1BtBVzBp+9GNa9TPxZZS4tZXsj6MOsgik1rAZfxLFw VOB6s/5hoMmHBZ4Dti7Xq7sRVhosa2vwTUP0bKuudDJCeFnk9BD38BURM0wRZudHP/oRIywIGiAh 78YT202R/ssymlVLevPmgm5uFHKSghnmCscnSz4VivX720hTBN5fWRUyEILJwwSDyGPCa0Sg6T3F PQ5BhOiYTISrkEo2yqhGu8wz4cJdHWLJ3mMpD4Yirjvev9pXVIZA/oublv7JyyX9cFvyZa4kUIi5 wHzdZXSUN7Tt4N6S0TwjOik6FgS/s9zRr81rmnFXyE073ncGGRvk1e+YuK1lGmmJuPeirVhvQFh/ 67im+0Vae+uJSwh0sxtaVa2nNvmncVJFcyS7UbtEJEIf4vhmB/ruPFWk0tOxG7EgKksOVoYBqPUO 8nrfqjAzYraBEMdJ4v0qp0WufmfuLYjJLdW9JiO62bccahlm/x8sK6qMOov6IB41w+bgAg4xufa7 ho0GgbJevnxJX3z+jBbzGZ3fQ4TRIfJfCauXL1/zSaD0BSzLUlmtz6FeBDdERwbty76yzyt+5OQx 8oLjPN8WwhrKZ0q1DuCyDOqBwFKhXZRZg4l1Zc1wLDHqnzQnNxr9OTQ5nJS1WU4PZisRX66mT/I1 /QfnO2UrJTjhloiuu4yO2dJeEau1Ni4Gd/arpqA/21T0P14u6L96o07dvlrWNNf76nfmNR0XHS2z jhZZZw+4xpJra9xAfEhw8ff6tz9az+jrs4buQVhJWzehBvoMghP6pbwy3p4+9VCrhpVWF3RCyjku q7+xy+ABgKQY8jANYKJRozVzAQLH/cEFjnnBpDdCTzwC621ITdF4LhG3fexaernXhnOxK8HFRxBq iKt1f1YwbGajVP2sOj1NnzTic3BOs2pOjx8/oVevXvEtKuCw5ot5XyUVA8gRF6slPX36nG9dsRMP 8bRnFZ8CgrfCghhMAaKNeQ/oVtC7Tgfx1+9CaA0VJ9XwIQJ+KOnGsZX59oZNMpVJiQ4rE/OskEIr Vbz4AsLqv7lY0f+7m9HHs47+veM5rTIYcHZ0vUPElFrFgTNDnwlqAmtS0wmYCdjQKYPQ6ujjqqMn ZUt/92hLL5ucPq8LXmsvmpye1QX9bzczFlIwGfjry5q+PduzUIMAQWjCwa6JGHz2H5G0iAYmlpsm +qdXS/p3z7b0fqmRaBD8YCjBll9HeFYICOoZn2IE1VJQWRPyJsCe5I44dCtC04CMLCmrDBJw96+5 vJSAMdd0YTCqslRxuQr4ESnJe4yr0a1/lnqfzUZ0mdh3HlQZtZoY9yeJQUUGkiqODQPFxnS6zvye ZzEeV+Xwv7bp6NnrF/Ty5SsWNAjYB8tnRUFJGlTPMP4/+rKkV68u2NZKCisgNSCrojRXf48MWlDH lPeABP0S9b4Nkn4SOZ/6+ksQVpPLmCo87dyLuY6JTARB7Lo8oBaycAMl+vvHG/q9bkdny2Oey0j/ 8xui3San3ygzOpcqU+eumWYowGtD+ZiynyJznsqOFOYAK4J62NDjEiFnWgRJ5p9tp8KfXLcZfX9b 0v+zqeh/vcZNzkRfrRomwYGANFTQzYuraaHfrDeHAyGEtfvfXy3po1lLH1YtzSapCr52V1q91XBP xsDRkqcGheiqe7BP/bDgwVGvQUr6dhZTWCg9lfWvDi4HB0c+WdFxyJm36lhVczGwXGfZnR1latQE ojHQAL1Guh3KLTXeR4S9lBSqcpGbN0DzASEtlyt68uSx9unDbbXmYMLlZfqIjebyki4urtnGyg4c CyuogQsqjTFo5PaemGAYEyax8ZZCKBRIPaQU3G0XI2ndiExIXxaqug3vlqqbzEbTJZncCOQilR4T +lN54mWz7xk5qzwfFC09zImOl7jFPGfU9eN1Qw+amo5nGu0IQdd59XOaB683ZbToFYOtfJUrrtYA E+W0rRDew6Jly/JNqyzLf7yr6J9dztkm6vdWO5qJevNdzxF10NbJE0DOsBw6xVWb0/90taA3XUF/ 73hHDwy6CvIZGkFkp0h3jtejukPdviIWnzsOdEG2DKLSl0BKcwYIH3AyyogsQT4bZ2cE+S9UhFPr uW1PTMQphhgt9vXlzocluJt0PZMF0QtcZ1N/QYL2VDg5e3W+Zk7jIACq2+efP2P3mIcPH+jTFVUJ D9VpNRD74Js3l2wKYfoBwp1vr1nCgdaZMvh16LckZXgaa6+pSoi6Qs8C+bj7wO8Xs6F51tG3VTnf ofA6iFNLZzL6lQTjzjND9rfzmgiwfm9jMBk6E4iM/uQK95Xs6XGJ+wDlNW9mHkcAgL1zQSwCUajV UMyc1mMKhMeCQ2tKEGAQoGfbij7dFfRfbJdqvSFwXkb0ftnQr81qelS1tARvLPoEUKXplMCFtTpU 0Ys2ZxQHK3b4BT6pWvrXVjtGccqOf3wyhOolu+YgGbNNJyTEgBgLcLFIcKJniHJ144W6OYeFFRud mn5L66d4zl0B1h9Zc9xq8ZXV8jA4avHH5oAbSdfoGAna25XDmaUHGOVcXcLhVfn4QXDhRM9yVCGX BLeaFvcVXrPpgoyFj/eWK8Q5MsJKFB4JoRN6BIRW7kOoKuyc+KUc7zh9GWrgl0nMeQjecJTi+y7d 8F72WtCoK9mV28ofXQJx7ehrs9rnZGU+WXxNOXOS/jwKq+dlq//AjHxUtnSU7+hRkdMXdU57ylmN hLaK26v+eD2j7U1GR0XHrjPANgjAd9mqazaYdsEdDPhPRnxq+V7Z0Sfzmj6ZNfRhhbjuApCJzosJ dp9KklfVoxNwhz3nJk8Gwws/FZrC4oMzaDWrLKpiwaX5L6ci+UvHVIBvyC3MdfRuYCyg6/e1aJZG THpHUQjR3Qaja6mLT6lVcSbGjHdI8sPoDpboQFf4lwVOdDKpiAvr9U4LK8dZge+CTyAotz66G04x rirxYFghHxaMpNCWzSOwb6t6/f/JfGKS0ArxtEyOVrDrKvqYWR85W8xj3vx0S3S1rxnFnJpVHdZN pN7clsJKPeA+lk7+Ajn71IfmjouOvjXb0ydVR02GcI84gSeOUfWLuqSLVvn3QlChivgehP1Koy7E tTorwFEhum1Hq6ylc+W17NfXa0uo7sYSLqEwu7FR6zwdNVAF9NVRinxUZB/frMNxrpXdFCQuTA7U qYVS4dg/HLYdwgNe3ZqrfodlOd5hJke73MxxzOi1xvFYvTYZKBZVgVL9ZHBkLzP9j5swUG+PTxDv 6pRev34p3hYqq64H4lf5wkrdS1iWuIwTBLs+bfJK7KOhmMr6z0XdGjEgvKvQ+dKFliU1JzzbE/5p jUGigwCgDyYIK2N79cdXRF8pt/SkdPHYD0pd4h2xaJwm6iN19Z1ZoDraLYgXsW5B3j+uFLEP3epZ o+oN8hwhYGAiMVrB5CPiqMgK1x7RAoTliPZUiGMeBO1KgFNAI6yAqozvIWDjulaCR+nDDuHge+jL kI44pjUCBiGQEe8GPnsNSHh9ynGEUCpBCJUYnDZGaYpA9+F6qEq5tgTE4BBqATHZtKzaAVXdO3/I J4P2MtjgBA6niEZYKaSo7KxgsgCCXRlCx/mp0KI9uYhD/WOMqXzH6a5E9185hDUoKGI3h/t8lPpX fCm0FTuHNUGPjRC+hZgnIL2/f9PS78/2TISP1S8bkWYeZSDkhEFVhk7xvBLk+zZMjePk5HQHevqw crdB9zpFjrOdo/oEVbruif7R2NTW2eEQV0EViCCIye7Ib5eUGljzzTDmFNAcpyKCNJ8ytM5WotJ2 Vo2WxrDdLnIE5GIfcE473DUKJ1/c24aKt+z5RIjLCBDCFi/6Lj25a5kENIOLQHdU6YtWEQMalr3y kkk7Av5kk2Y0AxMUZVxeXNPFxSVt1vAFa+n+/VNfbvBBBbG7ji+sOousZvPSeRREr/kyscQmLmLp xD2EH7u36Cd4FwETDuKQL+C7TndBoxHfWjOZkq2x7jd+gt2husIrox9vOpq3WzrKEJ00Vm4s2wBk JNpkdRMrcQYabyWbsf9yAssc2ie9CGQe3vpw5L//WH9eGoFuswlC6rBZgz1lMJ3qRW7VJxP6jrAO xo0IQcFkeU5NltM1BE9OfHcgOhvB7BDgDovdcF74rc46usbnKDjPaFXmbGulBC30ZW0iwcJLuf8A lsb6hXXntqWX3YJetSuC1cg8a/hihXvFlpY5hMvwgjCuCob8jJUCW6n79+/RL37xSzYUff36DZ2d /4bisIQtBVx1YFgaFVYzGIUqt6OhUe5vVKkZGJhRiAkid1an/STUroDzT1ouDwgWb96OCYKxSZ6o x2AaacPk96e+2yc5I21yLGlSS4Mx8Qx3R6pvn25r+luLNT0pxiPWTklDp8o2whxP1ngNjbCyf0T+ DsdTOvv3DoUGLmPxyHcPPPnP469ScVJYXKW7jkgHjnML2jeb55dxqpEV7OYyK3M6qzRyYvcW3IfE x2IaVSg7LaCoe6W+RVpHEjVqHcoxJ4aevULYOPMZq2QI8KVuL4bAwr/XCEBGBT3ObmiR+cH42aRB c2uil52lbdCpfFxbw5G1odVqScvlku2nbL315QL1vmVhBfXRhNkxwgpRQhHP6K2lmLr4NriOEMLf Jt9U3jK9C57tS02+L94UsGbRs9gUsdlDHTRP/O58TbsM6Hwi/Mv6wtrwa3YuG9XLHgBogWCzHyDz vGeGuOC3lMTBkBdUM0gcrcHYgMjqWf7I+xdCRYXPQMIxJy7ifI9REgSfbpcIRsZ2WriaCla28GJn DkwbummDUXHrp0N5lg7w7bD0Q9oBG4ajWkKbdlNGN21F666iZe58vUzbjGc8Z2mbJrgsMVAw23jx 4oLr/9WPvkqbzZq++tEHlOUKCeIZeCIhxjdsrUzUBfBdsGCHCQNffGkF4TSV71CDUfGQFxVWHga4 Q4sgcqzXOcHfBn0GJi9Bkek8bplu5WJ0V6E9VU203Iv/kfzdoKtUcdjs4S/rgvTBRAgmM4ddlZeJ E1xj5G1d5sTc7uWpEc2YdqjK4J1+2rw9oO5huW5p4wutBoplbxAf95gJHCd9ekL7ByYJgYDAKRUF C6pX+5Y+Opo54GuN2pyxYVcU1OmLJDBQvNBl3C3jbzhEsHsNkwIKZL66VFQZ73Y002rhKtsJysQQ VsZy3wg8cE8KFfl8ljIyBeo8PlqxW80vPvuMTRpgQAqnV3XYUNLr1xe03+PWZRUlFEUgSiiQFYSV nDC342zSb6UPE8wDkVhmd+CNprjufOnJ7rCJxRdDjrH3DyxUGVjrqCX9b61nBQm/Q2sxnxc0myl0 hW1vDYdqE/khDCwwXA3y0HCwZj2qI2hnaAzcy8v+4m5styekIT8l0xA/mRifnonPgOAr5WKCHZZZ YFZgCd2SvcGLjEn013VH7y9KZu17FGRA7qkg9CoSo3PpidmRmLoMJ9NACImzbkuX3YJdCO7na76G HVwWkJc1vAuJZ2E5a/PicDauDJxavn51ydwV6gx3nMeP38M3/A6Q5uvXVxzeWBKDsLU6OVkpR2ax mBjVRFStMaEzeS25Jtk5FmE50zuqQA5WyAqOb6iOph1uzkwsc6gelgO6o3Ac482y2+YnXhRrxQIS T+joWLpaS+HInhXuACD6fEf0R69a+htVR6dTwyYMGumMCQrnzhM9jAmetRv91M3uwLF3J4LTBqKE hTojHw6Z4W4VNmqMDQvD1wHltO06uqwROjijJTvtOgM5qYca9xq3egwE9X344jGDQuVc3FAp6gYu 7DRr6Nvla+XioOP4WOXWnouavhcB8URkTKMKKns09SVituPU75vf/CatViv63ve+x5dnUqbCxyJS KC6gMCQ7+g5qIOy1GIFNSKl9dMrEiKqNoWp7CERP1OOg08WUcJgiGG6FdIJ3byOAbpuEUOrGtGur XqtNH1d4Yc7ApOc/+6Kj5zc5fe28oJO8tQH3emkKI9AFljYBRRXajw0LK1esamNwDBrZfHsphXiF qhqaVYR2n2EqmSDXBqHITTkgOx8mvAJzhUsQyw1IZqLjMqMVgtwhsgPHrdZc1Zg1tfXnCxuR3sGT /SGinVbgz0zQMTmDZH0MetD6pLT0jUl39Av65Nmz53R+fs5hYThuO/ylmoxubtZaWCk1V10Zj3vk YIwh1Fvj3xWqJpbQiJw4jak2h6Yp+d82BZuIf7MSHV7ulyVwpgi8wUVppIGJ9ZbK29+MscnOZkv+ HQLrh9d7+o/uXdEHVcu2it5QpU6vs6B+d0mj4xKx1xjix6YUKbS4Ke+75uJewjAagw4DAcPPq7qj GwgpqDo50f0ZbupQYTEQ6E5dv62dnH3Hv0nJnxvBixad+Q1y6or0HtInmaOxfPqDnHLqxRXwDx/e p8vLG7q8vKCvfEVFaMjykt68eU2dtgZGfXByCGdmxPWWVuxGpbGkYcp38Tb8FI35mCUmutiBo7ka ZB28n1TP5DjdMoTzbQ8YwiaG7iZeHQPQPqmKqfExSkjUJitQB+XJOp+E45S8YhDwf1x29JuzLT2q OnZ0jqlGg4s6C1T4cGA9fivhyiNj8I/wUWZ+SfMFP7vDxn7Mniv0mUT+JYKFga/ZwY2Qb16FqYC6 4x5B7s5nBQspWKmzkbrKqZ9hwF94nuu9+eIWcrS2A1LfHtWGQMX819vgxYMRWOt1eFAmTBdwo/PJ yRld31wwukK7XyOulTZfMFEu4B+IaKG+MPLdiXrtCPF6rP09VTmA8T31OpZJr2Dxy0Q9420kWe23 BA56RQzt1mOF3qZSA3cM9z6GCUyBa8JwEW5GVw3RP3ne0j86Aeea4AUnBrbLpAOx8V3VgkU5JAdo RqxRRsRtwCX5i8o+O1iHyPeTBFi4kQSf+Xw6UfliC77FBOMDL0QcX2qBQPYIrGfCvpiXvcJcdSaN 9V0nfwjXZbiYsCjTJiGkuP5yzGLSVK9zqLkwGoUlctNUjDo36x0biBqSHYgLp4hwvWFPSEFQJusk /rVCdiiF1vky3nb4XXBK5JCz3++edhrullK4xybiCHfRQ5CJ/eitq4MeFXCLvG41NSM3o8fG36qD FZPtAAefbuA5sqWPqpqBQLRKQ9Iwi3+mhJApU7OQsWxEuBq5L6bQ1pjg6VM5CUIslbKBdS7GtgQX pfZ6LDrlPgNkZdGUzaS/vGz54uQvVkezcLzGDU0qh6ej2TqEFljJCqdhVSXXjfb6o0SRcldh6Klv 38U1W+pYWhHtLvpCy2T8cgECFZFT1Wmhca8Z5Eh6SEgM9yifMBjKIng87ZN459M3MX7h+H5pKaUW RoXGu6nCVDUI9xBiToEjvq4RRqajv7nYcmSD0DthUl92tgID6l82rlZ2/UxkpAnzt2mra49vJBW3 0Uus34BYH1Mt5WZaniBipqiKqsjwighR1ltJh+6K2bh/3QgYSCYVVLDizsS9cJSVdH2lYmFJS/bV ak58ZsE2rG70pgqDIROB8O+DBE8A5QfrE+N3gvzTLkIT3Hei4zQwKFMHbeD725LB7yyZwJbVnG+B erbv6Ic3e/r3z3DnYJCCa/VG29H1+8KJH6cZHZqc0Oq7k4Uhh3rIX9ZtwHwhGdNLzlupnkJgOUp4 YkNcadGCbOVEOelM+n+HC0wumP7C6V81FuZtByyxC/SfN9b8OQsrCKn9rmUzB7s4u45WfL2X7geP CjuMc+h952UW5uWEQ0oQHWptbOPzH/DOVKEySAt5emlaxRl9d2qhMcEsUa/57NAkONXkI5hTJeiF Gb1uiP78pqMn+c5ewtDztzsUBHTx38eaEwr2kDMz229SvRO3bXlqZBAVdfKh0YSNGg6EltDx0JW8 5ipCEZjPYrGq3Zfi+diJSgzSS6GTxQSg6xV/cQaEOo0kwW/1ICnvKspsAzfqwvXGJPBWsHjHKSK7 I6UGQ7TBDKZnWBkI6dtwNL5XW1pYSZVj0O3lkL1rkpBOSI/kx5oEnjK/Y3U15jhThdkBwnco9cjx YJ4DscMVB/PqZU30p1ct/YPVdjS/25g0dMKV7SAbuqGFHvlO2lFJbtYzIE6gKJtdYPM5ZaztJRSu IyxWSb3Tdx0IhJt8IVrdpPQLngkWm2ipQk7m9USnyIkkDUbVK85B1BrHasRmLoVA6MHt5oYNRJ3r TcbGoeCtppzgpFLUyl9yTp5QiiHPYP0lkUXfUj1ldCqdTkd5RlGPwXYO+CGGz/XqE1l4B1tbT0lT VNvBhA3OGQuHU7ooERJ7ziGYPt+1tN3v6JPT4SvdRpFypsuS61eiHvOMOIyRXFB07noCSWuD4VrV ht6xk8mDxufQbtZ1Viph6B/Uk6xO7TKCIh4XyDwTg5B6MabgeqTsmE7c05WH8u3VTQQFtIanYeEZ NXCr2SNkTMNx3N1V8i2dnSEWVhBgLSZ09aD0BG7KDSEQVt5EtG4yzi+Nsx/lGk0eA+hWRtE0EzHi f5jeAdMdH743xsWZ0ZC3jh+MEsYeH9zIb7cBqY3RSgfrY6h8ZRUfip/PtsS3Of/2YqOuuBpTbfsV pPAdbyOOqNWeYArQWd/mS2gecqPwkGjwTkJLibWnV9eUhhW0S7ZB3fxsK5xAKpxxfwcctTkSbjph 4VGbEBGby8sbqe1/18UERlCGt3OagRLRIUJEo8I/E92sb+jywqmCxkAUNlcNwsXY68hF2WG/eaeX Km/zrLm8NpZCiO3l6S364P3BORNMhOD1yQ63o+X4Qjop7JLqmA6dHc6dWJqqwg6pfYfs9ol8LDls AsBy2CEdMomD9MEXg+jpnuhnm4b+0THmz4SyUiCiS7RjajNSQsw5GfrrcmoHxUBbsM5TdY6V0Tsp hB2WIIqSjR7qu+H6iw4IG5GQrA7C6XKNr6H0JxTqq0RNvkGqyqHHT/Ftz33UI1PbZhzjCjZXmGzI H+T7+fk9ahp3v6DJw1qGR65gsuWqhnuGtlFOyeyi8Q49XA3V/ZdEvraCw0jstsSpyiLx7pSTpreZ EijkbSSn+iqnfLMBlFodvKiJfrVtqGx3dE9frTUqQGMIpItwWwfsNAqZO7Mfh+JN/qpYvkpmyKbQ i1AcqpN+p0bD24jnQnnQ26TF92Uvo2gdHTqBGmIfiRGNEupxjD0fUfmcUZCED6OorSsvIui8Rumq +pumU3Ocv2EsAoFx9ymo3je03SphhYQLM05PT6ksEf/Kr7eK8iDVHsePWYEUiXqgazaN1wn6dohc 73NPRlQFqFKql/pCkJ7dVgJ9pIj72wibXl7abCSq6khO4lB0la7AdKE19Kw5LRTzFcbHUAWBpj/d Ef3lpqW/vdodLiQDJDyoMk4dAqtR9A+rrGZi1qyMNiIphG6YY7VUk+QIA3nQr1NgyRp8z+Flpuza HhrQNhp2I5D+c8ZpmnX5QI0LOJIomZpoh/+BUBdkZ0inStsB/frbuoqOlw8jGN92u2U4b64nR8RR WCa7OmohYF3kRbtj1sJTHZCDm1l6PJAw0ZiSbFEhqS/Ksw9OSClOqkeaT8zQa58dh2Th8d/Tmbtn 3xKSGkp2Y9R/A1kBYbE6uOvo+bam75zvhwVONOPId10fHIz3s7BT1BxuCuV4kMuMtQkcYBy+x2K9 2WVvNkycq9fD7Uw3gFNpKj6e4sjHBiczYZVt/lrlEcH6osHObLjhWIXFbbUGOkVUOeuUqT90f6tr y1TtXccalMXCyKiUcOguSrq53nAkBiWsEL0io+PjY2rbnUBMunAZ+E/UzOwu/Ky5OtdCPw3HhZNx TIiECMOgwPjGNDZbhYAXXRvatw2aaFjzjFvYCSXrpf8VqEluXNjw3roBaGyeHXIhxmB1hLM73yqF uw9K+mJP9GrX0IfFjubmvsGwHgM0wGjq4r/77EIW0CJjeScOssR8tPNcLHwf/KjZHSAHe8BjauUr BEEDgqSuqhdX0/cWkEDqSh30e9ouyjYglfE/c0lq2Gah4qjmGOGS4LbE4jKfMXpDOBx5qwYLKaeT e+qlNVcI4KYWPggyCHVPqXxOfYU/ISza62bXX7DWJSly6CB4ASfJu2EXG9m12fhp3yghbfu4DyCg OR8AACAASURBVK1dt4wIBKuBDD83xXQhVYeYamk2u1sLwH8OSQWoVFfVgU5Q6mBGP9kQPd/V9LvL wLL9EBVuQupiluOSZxpB8738Eui5N53CoJ+9ZpkN0VeZRQY2rpwsN4b+EWLAFirRkhIUJk67uvi0 wO3OfFeZ6wwjaAxSkaEucFLSK7NnVJbYcWLJEu+4w1CLOgFTfS5JxLqKEPahvl2VM7q6WnPQPjPx TGx2NnOQ5SeSd6ohBaOug+ICHOKKUswT+uHOaCAQQocd509r/0HJ3DQ0Jdb81GqFf4+pTW9B2EkU XJW4IbziqAyfbRqq6z19tGo8JHJn9NgNfx073Eo+d1Cx/c0ptJDnfLUQd5umQz9RcDnBWFZdVW8f MqNqKqQKQxzEmhcxgsCriJsenYD45nxTswkEGKmMrpBXjAeARjyTZfhZxKJiASkKEVGZ7ZlYaiCC U0U4pEJQgWiXlUB8K1zn1baI0JCOjx5TUUXDvN8Vd4ndSNdzqpuOrrdRX0eTZ18Vz7snYAdOOVMn qql8o8JwMvjS4xMczgwK2IhA6pvIjJT7FoSI0SzMbeg/vCZ6s6/pW7MdVXnQlkOLygb60GzOhwre ifxX8IGeX8PZehFA7CYZK8DngD37ryBTe0pojmEVoFKRNTdU8O0z+Nm1OZUtrqTe0SntaV4EqgUh mJ8r30jV+KY5UXWIdr7rYd81QAsp25NSpzJXlJkAf/6pGQTwer3mW3IgvCB0ETLm+PioH+544ATD q2IiSegs/xt779aIRaLIXl2GlDvfBuqwIv1cU2poNPibQHyeGjJhMQ3Waew01f/w7ZhUYFGVc0ZX UA7/ctPRuq7pW6uIZXsMTad4rRBTmDTw/tRT6Pg8Sb7kbcxyPJ150YFJhq8SAQJlHaNmDebBfVfS 63ZB1x3u+GOLDG7Uus3opqvoutvTe7ShVd7I01wlBiLe3TZ/qQTF9Gc5gD40c3qwRRmq54yw6jly 6o6wqMRrvBM67OS8bzzuCqogLpOA0GIjUb+TxPvxCZRcZ1qS43UVC/8WJMYUiC8e6vFDQ0LgLZDp BwnZ0bb4lU2ZUQxxdPbvL4vXYt5zzhvfZzui17uaHmQ7Os8T18/Lug0Jr/C1LhDsqeoMoGyPKxrq o1vSFN6aTEwL+7Ewe5In7ZbL1A+WdYew9yrtuozqrqCLdkZrqmiRtYyoKmooQyTSrqBX7YJeNwiT kdPDYk2nxc63kpYSONJK68Mnj+5ju26vwb4tkyrGNcSqlEM7pc1KLIKW+KouqLsg2G189sVc3Xyj R8s/fh+3V7IfJdTI264fb9c8ZCEGIaVDFDVZ1byNoIqhqwAJ9J61F4qMo/H+QZG4HNeUN6Wv3oJQ w10Axvbqe2viS3S/EQvSN4aU3kLqUvZsd0zRCA9WTXTA4rDKCrVQVjeQCeXTZkWNPk3b4YIFymlP BZ0VO3pYbmjBdhPKFqnuEIW0ptfNgi7aBcf2mdGOFgXibRrhM6FvxPF1zypWBOdTj0o+ZDg5cBbo wZLr4o/dRP7i6Qv62c8+U3cQHh+zr+Dp6RHzV6GRaN9myC9VNC/6jgd1b8GVuJNCIQiDzvZQpHcS OjAuvf55yylQI5LC6i0gPqmWeLu1EFq3VrUnpFKjK1wy/PNNS1VX04cV7rGMPHxHlXdKsureuygn yLdn53jAHJebuxVUESBUvmnnLLCgb+MS0ipr6Tjf0L1iSwv2QHc1KrOOTrMdzXAZfNPSi+6Injcr epJdE4c8d7hHwFxRaW1I2redCmkn2ROCb0pOYK0eCsttdwUT2zeoW320y4GpE7ir589fMn8FZPXi xQv62tc+pvfff+BOBo2w0TZB3klWJO6//UM0IRTOno/hQSqUhs1mF/IWYnrp++X6eUj0400wIbyG yO7JfKQIszOULO85dbKbPkxUwTtuf8dqIZvBlIhAm9OnG6K23tNXiz0dFYeiDZlpuqzuEIF+V3SZ 2swSGk30sMOcBvf43/7hUx57H/zg4+Ka2ixjobWEMMo6muUQX+HCdKXiotL7+RVtmpK+aI75AtNV Li1ih9RhFzPHU997kRNCpOQiFpj3pUzkoPtaqORU9DgsY7uFtvKFsHnOl6CenJzQ6ekZ7XY7+sUv fsHHzxkEnCAijcW+UjOIauTDVzVmfEFHrq6dDsag78Uu3ZNcG02v+e0O0yRCOHEgYMvtVbL/jCjw 3XJWkQXg7M0ocrI6rHIO2W5FT6C9nTKs5u1u/ilydf08ynu2a+lr5Za+WQ6HkYmmUCsIv4t4PbxL 1BhN3hjpf2NViPVvAFYSj0XzLu8VG29hGufgNJbB9V7qLsDz7IZedSsm5xfdDpccxv0LXU3ZJMGa JqUqqUN0qLdx56ASQMaINJTQQEct1Na2Y8JccU5oD1uzWrWg4bAfuD0WdmUlXV1d09nZGT9f1zW3 /ej4iGohTI2lLv4LDXHTtLTTtwrhgo5KX9aBOPgmCIRdCzCcDZvmdCPfLUjai90q+bf0ejxbiHZT LjqDMmGkXrdQJ+96KidPoXsnXWOrYUgTncqZBY/hvkFz7d03qx117Y5W9nKS8fZE6x77LvOfOdho d0qZsfrKdgwI/IPTGJoWa17ZYRk1Scd5SjZcdxQkJO4lhJDCR1fdnM67HRUmCqGRnuGpnZWu2iBV qglSG+lwqYPizXgC8CQw4sNxW87Y1Rm4uhttWhZQuMKsQX4ccUEJ5BZ1L2e0Xr/gE0KQ7RB0jz54 Qk1Z0Kt9zaWBKIUwYguOLKObGtehAYESnRZQo4mu65Y2RHyx7LxQ9zYadGdgbQ8CS4Qlvd65HME6 yo5zL4jP0wOdOlHT458eX/lQCPfHJukhCzOCrsLvUmYxyfcG8vfqOPJMqC7LLySHaVACxhnzFK44 xuj4nLa0Bf97SJrSf1nso7ej6062Q5Mq3gBdMLZRjAaXzVKuORKKR0jczuMWNKvERlwtlRlOD1Wk ZWupGpgTqIzkotRuMlC1hCqo1DaEJW44FLFpDQShap0OkMaW7k6osRqYQ80rOL99S/yzaYgvgsWl lXhmRvgO+mNLebehy6tr+tlPf0YffPABX0PPRrldQ7lWPXcN0SXUP+yeeU4nVU4P5uok0cQ8Oi6I ruqWL51d49qvMqc5vAJsmwLVNhyP3gQxKnBkKHv2KfFnpC1TeLqpf+kVOWWHjrbjTpt6JL/IJJ2K HNKLRxAaepWYY/Ne5BDtNZXMX3S7XCqwvTKbZdPUfDrIbjpTBMBUQZ+lXg+DWo6/MzVv+10Xr29q bofPhZ+5uamLkJt7AGAkDVQq3ydVI/wLQeDqb3TkeGVQ5KyrNS/Ud8xNmSsoglwJJlYxEX7Yft5R 2yhhBZUKvoIczVELCaX+KcGG34GM4KiMZ3cd0eW+ZSSE/JZFRvdmJf8rYvbx5Hr27CWX/erVK3rz 5g0tFn+DPjwBpEe9VX2MQFEeiApVen2pB/KozGhRZCy0LuuWujKno1K3ybg7GUfwAOlYPyx/fHT5 cSGSEhwpDid81xYuK5JQAWSMqv4J6eEpbNPghJ+Ql8lj6PswWdcz78Pwoch7xg1Nbsa6iPl8xZwm EmKm8YZ7SIqoekFjBpHuVE+EoSRttrjvZDkh8jdzNxDiyXRIvRJIHm1UMd3FqZUlxOLBFdzk1Y3I s5Zu2hm1OdwSYQLhVDbzX6NyGmTUtQ01NXYhmKXmkCBOYmuCC4OPm3KBmkydDFdlkVdZcAjaqzaj q70SZMs8o/dnGXNKWUQtg0p4c6MiMvzwhz9kgXd5eUnf//4PaD6v6NGjh8ybGU4Ib+PWa52J7SPT F2ZBQxU8h/7YU79iPJ5AOnbrd9yWIZqjeUnhIvKSdlRDhxdWYMhJloLunpY2gMAiyFy+F9Zl6PtQ CB3iEcFjwXdDJvpd8E7GxuugFOSrhgobmdo0kSvfslSDv0oYioZJRqWINTWGUAbSXTaAHgUghVSA ePgfTUT3uFIZ9VcLNOljfFvTHl6LShDgGm0NkYF2NMLhsrM0SYspvMz2zGGt25Jmec0Gpu4SByXV +F1DgINTahqq93sWPrm+sVUFwnOthsDiyacj4RskhgqB/Iaad7FvmSBflh3dnxVKSLFAVEKR0ZGI GMF8A/wi6x0T7o8fP6b79+/TbFbRLz/7JTW4gh7txwQSAyBJzZjdmHlG/h2Pdx+QxOZzgbLA/ynz iUQ+0fmkN4Yk7+WQUowrCusjhq73fa/9drOLC7Vev0T6JJXkDj75fbOpGMRpVI9AG+6bmBif9ESM 8vBPsWnNZ0f2AVy8C3QlV0w2ovbd9oTWS91hSHs0xeo7JcveDeQRdVVeDxapp/1OoDfDF5Z8OShk RQth5Y7vYnY51nfPupjkNM8UQb3uCjqBc7QOyK94HnUq57gCdU0W0BWrg/hOc08GDcEYFQKJgRRX tmW80+CUj00KwE11fDp3WpWK6IZ5gYbjrM4pDdKaPvhH5bC9ekE/+MEP6OLigu7du0e/+7v/Mv3a r3+LCsAkHmwjqeMdHjsmH0MSPVTU9Q1l7eFHZAANIogZ1GrdUlgKS0Ql5/JEXD5xrku3C8NdDpkg eOhECvqEoO2pohMs/1kwd37Awp4aHtafp5l79hABwrZXs4V+p+PNsMXG51baATZlE5/pbqFGTk3Z 3QWb71eI6/Ki+nWvX6ypQ5dGayWjHAZALtCemgQKEVl+Re+4dsfUAmaVKV87uOqAAEIdFPWoVTje bVQGCs3Bb6/h31WA/pIjQYAcXzeaRCcpHBErAjYuGRWZOok7q1DPjoUj80oRH0Lmvjy7HrWY9nvw XiWdn5+zwDo6OqLZrKTFouI2u5hZpp0i3lbkIozBsRQweBSm28mnDiLcx31El1KXzKdJ9W1glx+u mq8GydhFPrfSR+JT1RMpWG5zPB9as5vSHSdjytBJkppSQ2ej42lluiB9fbKdYpb2d0g9VbmLI9c7 I6vbJiE4e25f3jQJTjWsIuFzcG45CBMj9De+xI6AAWR9XJPnhlz09iSxExobokpjbU+D4OuNlA2S uhxZGG/y4OVUVjlleUkv9hllBdECgoijMaofMwm6Vl1oij9RtzyHoNINMlcqReydpJBAlqxi5gXd XFzR69ev6aOPPmKB+vWvfY39Bn27Go9Z9H0YEyFP/AGKxPiyyCqyGK1uF+zGIbTWwlOimCR5HOOT wh0tnB39hiTzkp8fKmjiJ6bpPGK8TPS5hGAw126ZSZoUogcv9oxms5XtiH29ddE9hpBPJB26Efbo hOQB1y1ThBaIfcflCwE0VA/33UA9I+Mj/+KY7kp9gymByUxfrMCCxpCHbsDdrkFUZ+qiBpg3WAis nwcC6/QFpNbym/mpAu7UfJPIYl7QvFD8U675J64y74B4HwJVNtTlHyBH1zhh+Sy1QQg/uOH86le/ YturDz/8gB49fo+jMsTCCEs+ShKL3uIKJqaPRuIqjfee2RwE65EKySMydgJONFwAC1mYq7NGmtEw tCnOQupQpiZjC39ExYs0bpqqlxJqsdhf5t4BGa1DosKA07LfH7DeC217pYprWR30TXmCMlIbgzyV i4yd1+YueDXiPfHOkweQ0tpA5PF+ktRI3ySzh1RLtl2CrRHrmcpuRPHf0nweH+jr2w3H1HWEOA4v myU/AT9EL8i9KsmxEMwtoFI57Vsc/3c0r3LmoYwnOwdckYuc/58zAjNqiJtzYoKKE7Y4X6PqvVlv 6IsvnrIpA/L66KOvcIA+C6CykZ09nDyyrf0/gsziyMqosDbf2CSNogxf/ZJALqyOe8+Uo/8buydy pDmjC8PG99d3MQbSd8oET303huBG3XI8xBtZ/IO5exXhTb2qDHcFsn3PKmHSmf9QtTDW1I6+3DSE vBObTBq8DoRijszBmM8xvlUCK4fAQmeDc1KW6hBQu66gLVW0z0pqAHVwK3KX0V5DwJYK2ndQ5ba0 YvJdbiVm9zdCRs2QfdfSVcOSks5mTlghsQmCQWTa5kU1QodlDk6iYtCxBwj0FxB8Nzc3dHV1xYH6 4JID/koJq+GFM8TDuO8Tql7k+ehDgiROF+bFiImUae4XjyTv1DEirBI7fw+BiLqa9kTV4rcRAvht XEQR2hTZ0Yqg4wPqDMoCAsuk/X7jmzIYR9/bSplDVMrMldlDj+8CeIXIcUIadNTWde73f7/ypQtv rAQFq4dtS7tiQW9oRRuaMT9phQEQFtsdKSfps2xLy6yhhT4t7FXUGqQSu7WAXMdgn89KPtlzYExN JAgtY0ke1tucokkOR6o6MUHlOoxou1WQfbFYcCiZe/fOqCiUK0Wo4sSEouPE/JL8Y2SnOvp18VWx uLAVzxw80frkvodupLCbfCGr6VufyB9zlxlK0tRAlRCoeRF10jNQHKiqyyJx8CBgqJ1DU9U2mQ0O gNhGUMW/xGaPS0o8ldQrU1duSv1DFGg7QTw6wP94ed0lTckjUb9DyzGUSKpdxp2PjE2kUrXgMddw WBVA2ws6pTf5khZ5S3CQhsqn5ri6OqvIIbDA2jdCRPr1h4MwXGTYl69FPC1VqfOqsMLKqET9MRpX PfydRX9gDwr8Z3GLMxAWojIo+6t7lBdRUiCqvtkaWgNEVZ6zoZoYcE6YAPTLMSr10AJ1DU+WJfOW /E+sXalJojcHm0dEPY0S/1JoJoawZwtmOMeQW9NzMyZcBwXSgNqu5G83edxjKffUwY72e2V7dXCK COe3lrKEujG1rNsIoBEBNkQ7xNRBl6k73bXOz+oFxDPfscDaI5B+RnS/2NJ9RHQQ0J8REHVUZKUu UBDGmi+CYee6Vc7CNU4hu5at0I9LxlvslKwMQ4WI0uhKfNCX9HqySUHBj1qv4X6H7PY1vXx5wfwV 0nK5pK985St8chg1POxlEbOR0kJjggphDBe9HV18J+vq1ML+FWlGTfZoNWnJH7s9LLGIvbyzIWEV V1MHhfJQl/Tnot5nuqRadieVcGzhSUA7oRzWAnKY48zV650SWCkO1HtzCD3eJXUHCqJDipv6/MAz vbk2yHp4i12AES+muxFYetKzpXdHs0w5N/fKwAetPPJXmUPtg4EnSPVNC+POnE7nsC1X1vMcLYGF jWmIraV13TEVdW3sU81TpT/erNuW3ry5oh//+Cf06aef0ocffkjPnz+njz/+iJYrZbDqFZDaae88 pyJ8U1iEFsBKs1AzJYokDEIQA+OQSHTlDBhz+s31zKsCk45YGkWUsTKlv5qpRAqdCaE2VPZoPVLj d+C4YpNV6qC6uwAx/2Hd7gkjb306Q+zJ3E2svbdR87I7IKyx8g4RZKGgTmGLgAbyV756qQwzYBK+ y6iAmUMwBdTkVguKcRBUQy3oIKxuwFHtQax3dF7ldFzBeVkjANzEI9CTOo1UvJlnbySCz+sPxhFC +J3kcSA8Nxs+GWSXoLqmr3/963R+75QyY4rh91o8XzNAA64y0WTf899JT2D1MK9pBlqab9GLPKkG JdwcXLP0wtYnqdhYlAcB28ParJAFkHUFO+BIf8RS0hZtKJluvcNdhL5qGRes8lDgYMPUyKLE+jBk u0NX4iLQyDvZgHGrPLJ3TRmJQZ/582kSx5dq013U0ilCK/WMaIPbaM13aqN26Nu9xBepsnjQYTdg eQ5Vqer2fKIHgh2CC5MazsW15qKg0hV5S0t2Z1FREoCqjoqMHpQFoyvbH3qg4GjcP/Z1gtAGsdMo 0KAN7+HY77HO0A+gTFi1/9Zv/RbzVzAaVcfPcA06cJTCoHjehiCQgQOKtp7S+TomXC1SMHX32u3Q 7+gkTjxjcAjGcdu2bFYCFyfIR1B5auNRByPwHjircjopsOH025jis6aqNskj7ki/2bb1HnUbieeM HhDfPfeeAeTQa19EVYY6iEsm+LmuVaeDCXctk1evX7KJ/RLrhy7y+5DsiGyWkzbWbGRORfrm8BPR +GA45Up9L9epjtbgHsaJYTWb8eWh121LN01Gzb7jQHUQVNh5K32r837X0Bcgq4jotMzovZny6+P2 B1EgrIIjGH9XQ2ekqt7RJ37C6TELJl3Knkd+zgaqTUOff/45/fEff5dPByG8vvmNT+yt1KZe0nBT ZOx60FqqB9A2RBhy0Y2k8ATSnpSEKpw0EJ2S7M3d6jX09rrp6LrBeCpPgVOO7VXw72GT4a/5fNvQ rlFO5VJoyXonre0npLdp6OhxhOMl63E/vM6YT7iC3sxhRGVoDNk+0JzBeRV7/kCTkMwKusMMXyMV 9X+/bV4ydnt2uPByB9r9qCJs1mAIW5NmVYVjNSrbDV3XMyrzkp4sG46+KVUQOBpb+Cb9tCRisIUF ptjWjifWYBeojwfP+AsGOwpb0kshYp1ftZradrTd7DiUDATVw4cP6fvf/z7bYv3BH/zr7EM41On9 j8YneRezcerGjqMFgrJ/G7cHJ0hHob9Bc+BWoKIjsGCjTEkWecZRUc9nOVXG/SqRBTalRwtEXm3p s82e3pvBG8GMcV/IyraPoqwYpxH77pAFE9lEwjzNtsc2huadyPNDYwzuSqqD9X4br8NAvTxh1B3o G9kF+Q6gRa8OqTolyk3yiQOCNuy3aD8mkLOEDiHnHrZTueYYxKMzyAu1k5w0a9rRnNpiRbP8GtR5 AJdVUYkTevecXIDhog0iZJraKSTqyFllui+iHCQKtiqAPnEESXp6eko/+MFfsLPzJ598wvGvFGlq ykrwKLap8RHumzqEDySE1cikcQd02oBWoq/EeyrePKKrKidymJMgcCFUdAgcxSUqNG22GFWV+IxH 79wrcz7Zfblr+XQXQQkZkQmbM+tzmh0otMa+OxwA9dVr87cXWyatGg4JK3WzuYrPpjbDmhGWjbI7 VjNPcPpoyNsE5M3gYd7ZQAlDtllDfSm+j67PKUJxKO+hvz16xazbxPP69zLFCYDLWlFN625Lm/aI cB0Y7LGMkZfML1TJYsf3/cYkTp+sJba8ssu1z9+h9IK2xL5Y4B3Ry5dv6Gc/+wULrW9/+9ts2Q6k tdtt9WUVYrdNwQ1Zr9TA9Yh6naU01ozsvj37qHAHE2R7rH4IxQPhxLHmoa7DPoj5J+2bSSqMs1Lp 5BjF2hC0m9V+oiVHxMg59th217DQWjK3JYSDWHhStb4drzFUyWCspAFsxLcxJjyj6tnYXO0QLLK0 foMcpG9vgvSNvCzRv0XgAq1OQZFjXZgdKFQibR4zJO4hw9uoi1PeS6FJnUruM0h1z6tAOR+XRUFn 7ZZedRVdNhUdZXua5S64nynAoB934ie8GKVgiuwCUlCandBqeVrdjPtjOV4sLvwyWiyWdHJySk+f PmU1ENbt3/jG19jWzF7lJTvJvpnehcd2czUrxS4aed6ojWO+V7FFCAQFJIUfEOhQ36DqnSLqJQsp dcqH3lEiyw+UpgSght8TZjlem7GxrwoBBOF4XTfMVS5yYlVROgOFBPydhFaY5CROEdWRmFyeUept rsXCwQSHQhJkOyIzOEXD1StEBXo+8N0Fdj459ce4nKWqMxllZQNCawLK6hnuhk7+YX6p1A28OwVZ h38HRbMZpznq9uGtMjuYU0sn3ZYuu4Jet3N6L1s7eOvi+FpY4S3gmIAScNdYdMtdWn0sYmIFhqXe IrY+h/32X9+s6bPPvmCbK5DtiCx6dLQiACt1s4lAZsHk1oWJtvXVxrG/PUETnH5G3w/iJjlhhhNZ okut7uFzCCTEkId6BsEBTooPEZLWwn55jhrIJqpD6kqzI76/EsbA8GDo6HLf0au9Uh+hfsKDwX8x clAxIMSm1mc0lIrYwAZV1InIRF4/z1EZmj21TdwVbRhFmE0jsjSmCK1MlOFnOV7+CHKJlis29MnG rYIaiJZzW3Sm3y19aWj6zUVexM+S9tTRhjbtnF5nCzrXlu/2pdjkM+42wYWpnn5uIbL3gHtfurCI kLcuukHQOa5wnmQoA2YMgPCPHj2ir3/9YxVGRwhEryNFh/v95BP7o71qsF8UUUbyFf0CExK+iVub kGw1H1XiGjFEt+ToqrzT2JPOXrXFYk2qUiJci81gZDKxgEQdEFYoh0oKw1xlz+WpiLH2irzfFuIy C7lPTof5+/1gN1ozp4Zu/mWyfWbRFV8fhzAyOk+PHO9V0P/TKILq3HZCh+uXJquONEGgpT4b2gAG 3pmUwrUzsNbGEiOsFOmMgeRY611LK9pSQwW9bpZUZC2dZO6ERGp8UFOsG3JCHWSzBqfKq/ZMQI5O QXQILfYS4mddXF7x1fOYYOCtzs/PaLGAuYa6S9HWRVegb23cRyjTJ46LGeVVLTSQ0wumNoS5NuZk ex8buRV3KKpbeZQ5SbzEFNKcklKqcSrlWk1kRqfI1S1GoXpsN5qRSgWC7LZuKnZzU38EBsfpzWZs TJX9oHF0VmQ74l718grzT1EJOoT40HNJFbALykp9J/+O1XMsHToEUwTQHYSUTdgw5bAafdzYQsnx L+ALmO3oppvT83pBy2pPpYmu2Ms4ErbYFqMuolCPOV7FqkI9klqIUzkpY/q9TjBnWK83dH19zZbt CNb3/vvvU4HLT8VAJtGA7Q+7kg5YSBN3Tr3PbllQqVM+0uoeG3KyqqcRjbFtG0Em8kRxtHpvCelk 2ui0T2YfkHeku9Lt6O5ky3WQVbi+fl6pgzh1blgdtLZXYf0HF2z8uvM7heHpBlD/RHX3zikU0mNN mUgPpJI6JZQROgWKMXBU6e4NVV3NMdw/b45p05Z0nDWROepuX5a7nUVFrqa6aG1zFRFWUmWSQjDA KV5S5GFLq+WS/QZhyqAuWc3sRLNtFeqY68eJnReoWF4dgonpoR+N5iA44RyOiBZ4HuYHc7jDiIlm /Tu9TvMLk9uCJPSTddOLddIkmbg7p/KaPBGTFFNaaPVcs/QcG383juRSBDNOBtUVXuoCFUZXt0ne dVguyof8PlLR3gLvUmGgU4IvRGG3ECoHpXC6BlPW06ayw8eqjHJGXu461LFZ2FaYCOFivrBcxwAA IABJREFULNLZyFNHGRjYNTxXCtHKqLGcVDEEx+Yxl6Lhyrq95n8RRgbcFYTV6ekxdd3e2XOZJnqW 9KkKi3rEFmJMrgTJCBKoT3tNXONnxWYCfbuonoMwn34NiwBz0tOLABDU3+tX2Z4Qtst2TZzAUav/ ofcPXBhmU3TvBrTDFGQXqlaJlGfqvkHlX4uLfxXZLufnpNPQYC4r6kQ9y9zfIQIk69d9Wmyzfl3u jMgGNkbzGavAbEGgtasAGY/RAOF3peUdtO+fKcTl6Hz8dm1O123FV9Qvs9oSlkaYGeEW7H1p4s8s wpiaJ5CVjJdlyxIIxDtdwr2FDbzo1cUV+J4vZC0QxlaoE/IY1wjiEVODg1QoY3fDjuLaFxOxkyCo cF1ZB3emnLmpUFiNqUrRZAW6mhxO4KlPvedipHxYrivwFmYAvvuVFwYoJfTHJnDvvjsfEftoRca8 DoTxAamsKouulOM8bnSOX5CaPBWLgR47n0euAItshFl448zwDnbYhiOfvwvKCpM8+Y+UFXWAj9WJ OazgiLhn9CnUkyYraNfltMgbqjign7RvURedSqNOW2BSAkgV0YQIFvA+coIpEaH5XKp3MOjb72v7 PQxEF/M5746uD4zVvMUzFk3KZ2x/9OotuBArRNWz/Hur+CnsouCm8LMXvy/LnB7C71LnH6Ug9M5r F3o35EwbICd7UYjLqy8EItFNI7v2GL8S758DfB9TC0OipW78XaVq+PPJQ6RmQxJ9o4x2U0Ilp6qc i6iie28OTW5TQq1OOoD3shI2eyYFsrjP+ybSRAFkx35g857MnBjDZ6kW8gm4Ggvcd8W4YqQcUyeO 1uBvwPE3MYC5Jt8VyapISHQoX4QqhYi1G5FqXGwQpbGpbY36R/goGmHi9ZG0dudLMFWc7X1da5cc 5ZqDSyZwjVfb7XrGhe2Enu+hC63WGQHVarRUC4GkBFTL/6KvYHWOnxX780WEer/Q6chjUKAkV6NG zoLXiFXDjEFojDlF1RN5qMdcYaNzPXLa1wu/EpSdTVEJuQqZ/1jAExrkjY0OwsqQ7aAZouhK9mGo tnmVizUzHtTPJsMto/OHVC96i2jI5DU0SAeBbYf8ZXoDidUpw2PllaEFmPXMCPNRY2ZJ98EGa0GL gH5z2tFVe8QXUXQNLiXVbho6R6g9Tq8X7bPoyXQIDCJN7HZhvKprZzg1syOa23x94dHxnYpGQIJz aOoNnwyq26TVfYR8Omg2RysrDMIykTqV7RO+hvh1nWYWjDNqBVoCYb5piEPqQCjBRgmnefhZ4Ng/ L/mUz62tQM221fH1+X7X90MRh/ZoMl9bT4cdbfToXvlBlFaJqiTiTvJSidRD6QI9Bw9G2+vVM4w/ nxAKBmHZA47JJ296Q8SAi3IQUVT5DUId3Plke0QDibmuSITijaGIZmCc+2PV6v2eibIOJv+G13io UZj/pspJ8c2x59RUNbffKOm+yDqCYdSbvTGIVsbQx2XOvK7yyDMst7nXVBuOjurB/C8WZUNHtKV1 t6C/3J3Sw+yS7he15SzsldThRYmCK2LCEcZ3jXLxASoy6MsKuuAAwMkOd2zP5Wm0Q9Zw0Tg0O3WQ b5bm23iliiNnQEdtltGrvYqSinNESHGEX8HJHcwL8CrCs3CIlrplZAakdFLl9AjPBAH5Yhb0/mFG 5wsdAcEH8UeoAsWGy05q0Xfeg3qDGMM6crdR8FkLD3ersXv0gMWTUJGiRXt8W8B/BPmp6ojr6QdQ o8rSeRaEWgXmTVUpgYVngK5w10HKXtEIoF7dUmsr8fmt3Ziyke8OzNLMjiFh1Su7v6x6fLTcpldw pkcJCAEDQ2SYIrHbV0dv9jXH2TsqQD/5RrnlZd3SMRO//d1Bdp4RB0fZjmbFJb1oj+nn7X3qmkt6 UGyVWibdXcREszG32GcRqEipcYbzUoak+l1zi3NEbepZbuMaey0cQY5e31zzFV7IF0Kxqma0Wi2o a43AwkTWhwu6Pvj75b7ly1wfLICtOtrWCHDX0ottwwIs19J/WRT0aFEyhOV7Fo01e6SOxjikj1Dc 6KnvxlUZ74BAlmT7W6pQwTwKyGirwXj5OZQbTeJENn4Un95mHb/YR0u+ujgiQGP+LNGroUS5Iskx COdo+KZEV5a7Ehtebx5GkhuXCEtphaw/rlOFVTZmDhGUdZCtVyiAI0M7mTMzVQhdzlQmbjMFdQLZ UkKQqYtrruqOntfgydVlN8rkJ6Py1a6lEzwVNDIGuQ0gWNCe3i9v6Gpf0ef1Ed3LN1pwyBuj3UCp oTMRSIGugMpUQLQQ+/LFqYYYFYtf1svo9ebOOlYH85KaGruhNEJl+adPB534lxvBmgFDRnMELtRo CsJplhd0f6bRn0ZwBmiYHLIJO09sl7L2UsET6ZOzCAluVWsJSXS+kZuQrXA0i8gIcE/gyQIlmoub Scj6DbdhWBiHfWM/FZueV05sfhoPixEVJVEJD/ViozO2hDjEAcUg69BrVqw8L5RM5OtYXCzZ/7J6 tzUsPdBg1tmJJaod9G04x+Sc98xzxNcWsOsP5LPm81lOdA+XLKP/W3P7VsvaVImQuL16hadHsoom V3aENTqs4o8UggKLFTTQ2Jp0Wh1sGyoLQ2jikgvX4iljg/hdnrNwltF2u6W6doasVYVga6W+4ceh Bw4BrLkxyKqLuqWjqmAhZVsJxNYjfmJ6vol06d6z/0rUJJGNPWgQ6umgFqgHM4DGMU6qhyoCtc0g Qj69bJU9EdSfpGOtq4TdrEIxmxKynnGumNDeJJf2esHENr8YwWorYvz+xOalu1joIv0+Sh1aSCSE BKv2PDeW7bieDru8DGUyHDrJLyMhQCW/lVIZ9ete6iLPDglN0cbR8DEp1Biri+1moesFfW3Kle/E NYV+GcqeMqMcJHsBgKQ9VICwIMm8Ric6URokNlTSi3pBFbX0qLpR4UxsSFQfMVi7ec1/MBfQtpRX Ohxg51RDS7wLMpz/tGFnnBM08jCTrSwqvobeCDBWB2clzecVE/tAUYi+CY4Kri7IjX32OsDQnPko E9Pc9Z/7+1AbJO+Uy+9EOyBmMYaGrNEszeSOXF4RnWgCNPnPibHRgqDjg2W30yctsGXdbdsiwtbO 4XQcLyMgU2vMQ1LBp25zSL2U/qwv0N2mYwpT3JVCV02zVfH/5XsDgj3kJKOwLKJeJQnslECbmmS1 xd2ZqWdCpOQlWZco3Bx4fuDZ/toKwAuvEdwzAO2NqAS5DJRxUmruSLXOvOIEh9YJt1TSm3ZFV21F j6o1nRd7T4J7pg0G2Rh0xad6uPxBqY9GwJkKGmEVO8r25wxC3yhkoBBDxrZX8CE01QeRftESbeqG 1bkKHBROHwKNZ1G4OPRDzrpJAnLijDJljmzQXllygo2dJvYK87Q88a6eAMp7wZgtjPMTY87hk+ol 8g15PYnGJMLSk0K8PgwpnI2d+DtZL8fd4okiK7Q6qD6ra/gN1ul2eP3c93NVX+jTcyvw9dNSONyS ZxpMMTVzTF0e+17QMZPqHNST12tCe0upq55sATjBxH21a1hg9coRgmPf5XTVzuiim3PUhvvlls6L nVKd5ElOxBrZnuy1DQssWJ4rQWPUQVlZYR8kTwk1uoA+i5hMoKUQZZOygub7tVUHjQ1NURaE8zy4 vShzA8QyN6eKTp9Xmkm/p/wDh/GJJI+r+1/q3KS/mwM1/olWoFF4z43WIvauj/bMvOXT2dROGUMq 0SLkWAcPDQWAk4s7QNPxvmYTb2+KyHq6CR2UJYTJUP2k36AyFIW3xF6dLhvbqzE46H0fqLfGiFX7 kLLQxcHNEMyUGaRQbJcQGEPC7OCJFL6enAz9uRtLBoEeKjx1O1WIblL2RDhC9AW/sutZt0BVC7ru ZiygHpRbOi32mucZr7dCdspdBgKj0IQmk+bCBsWIJxhh8o3RuOZeX6igwJObtMa9ASreer0mXDFo pDEul1jMKyb4URYXYYSfMPp0DVWCs7+s/B71VFw5eOHuFVPbIvDcPOvUnP4CV3JbH2QcYlsUojQL 7YQxqP7bm/gDRUjEF7dwNw2ZWs1AWGk0bnMWFt6D2kfUjGS46N4pOPiRam5fxH2DSh0U6mkiT+/g woynDRzg9y9oEVAWOaz92B4msMmKCbGI0OpChDsRHU169h0lc/AjxzdZD7kZCbqPERZuUukhfPRl S3TdlPSiXdE1zWmRNfReuaGTYp+My+TeV7uKKQhoChPAqoneo0o9gdBUgspNJbkGeFKBENdhgOdl Ts2u4XdMC0G0z2aVVvPEojXqpyT/jPuKMd8SvXewYV5wuYNJ/Z3dqXhJOy0/28Hv+0mcrmqC2gkt 25EqfLJEwxNVkhR53a9w+oEsIqwOhY+qKeKlOy7Agq+fV+qgcnQ2MdtH8vd253Cjcs9Y1d56Skyj ErxyunfwbJimCrPYrTpjdRJ1i3Klci4EFJCpXIn/wP4BsbrVmjY7AW5yLul5e0SX3ZyWOYTVmk4L bfFrVLaYr5CAwjy1+LRFoSuDqAx/xUeWDe48xKmjGkwOEMdqnLI6h3Ay9lZaN1RkfVbQ5c21/Ryf wQ0HCEvdcRhvvDQp8JBeclKqTKzjqW63fyTrXk4ZGCYNRaVNiujEMSHSR4Dq9NT0oV3UUmh5zZLH z7JHJDT2uirdvgDpJMndWDx579GJkmeioEubivjoCmS7MWUAd4XTQUkdRNOQymlKkZylmY9GIw77 +C4pi/wdIv9kX/l+p+8cgQ2uyeH+YAMsoKyrGg7NOdtAoDdvmpKeNSu66ma0yht6yMIK/i3OlcXw VVbQRVQh7FKGN1K8iXoGMcERtQA5QvXDRMZpHZPg3qrRRQJF4aiTb07GrzlttzXtdnB0VrZb+K6s Ch37ygkaUxcvqqlUIyJGnH07qfjMUiSkW/FpkxAfJRlbLM+kIDJYMpwzFpHdCLxDDlU3RrJsxqG4 PfOVf7LXRwKuunqmxuBtpN22/yKpL7R8NdV1SSQfaaZh6n8oIpmYGGvC0ZkFllEHN9pv8JBVa8ZA 0AT8sUCDxpwlYaR7iL1VdghBL1N0TG8vNafYd4Vlh89POawxqiELLLwLRAPrblwksG8Letqs6Kab 0UlRsxp4nGthJTmZ/6+4N3uaJDnuAz2zsqq+++h7brQAEjygNT2sra1MD4K0Kz6uydZM/+3qlS/a pRklGQWBBDjATPf09PR0f/dXZ+aau4dHeHhEZGZ9PZSCHPRXVZlxh8fP70qMKdPbVDYbESu68Wvn nLwl36F1xUabaKJ/jsk9XZgVzetHJjj8pT+oaHR6c3PliBUf4P39PRdVVDup6mwlaqHc+aHwOKL1 yHJesfwpInxaLmYmN9G+abInt5hVGSZyihZub67JcPHw6ATub2+cQqEhFIAarfl83xMzIlaELLUC xcY4C1Zk8k/Knj5MzmE3XiyLi8lXgvbEK6C4dwcO1YNYS/GS4KiiWNjRGT0jUCg64v2M7DOHjkP0 DBfgUmnPpR+DURKqMttU6Fx/HWNttfTXD0Be0bh6+pD73l7o3sQdU82/W6L2rYJ37T7cdHM4b1bw vLkndtBbnmvVkiAt1Z6/mQR1KM8MZPmWUFNcLcxe82KvgWbiMtiYPoeDZl1+0B1nAqtVS5pBOZyI qjBmOxEs9FOMKI9CWhYBCdGyCMyyeJkDrGlf9odMXaEEshHRLIWckFB9/90r+OHta/jTP/tf4Pvv vqFxoRvSarWAJ09fwOOnn8B6tYTb60vYop1Z08DxyRklw3XcZrFtOVg0B8JDejlX7j39arfTgfbH OmJR8qhc3us3SXg4OrDrgehKOoXoShxtdyoDhz3Is5hLsO5B3g5R23CNJQ7VLv1UF6qtpkfxUhJP FJGeXRY1np1WzFTvozWgMPt01sB1O6f/ULD+tFnC/oTDQPhG3VCtlktrOkgF7WJlyWFHfct9W8E9 1HA2m1Im4egGygzEs2hiMEkHCj9P4P37H5W/VwuHh4g0Os8S0bt5yDTCItsiRkdcnCtQdkEVEtO2 Z34gaoNqDSXTBv7NMXO+ekSkxyfn8O6H14Sm9vYOYLm8hzev/0iE+snTT4g4f/fqj/DHr/+elBpn 54/h5c//HB7NnpVlV4o1Y0LtDsuYLBZ6XGMOlYpLlWojlYLAVMTsMho1l/qk5EP68tnRgRj3UNNI +vkWVsgOEkLf4VgZT4MEaSqbLBv7qZe165vfbuRz5h0hxsXH+7qTIVo5P0F9Fqxihx/saaQ07a7T Ph7WGhp40x6RrdXpZAUvpgvYr1mrF89NfoMF/0E0EdARGGoiVuiFva4m8Ml+w1bl2qFW9zHj5BrL SzpYLJZEmDC0Db+yYXTVoP0M95kb353Pzy1m7yHwciE5ZMFYNsjHgn2aaIjYLCOMy84nRrO4uHgP v/vtf4XPv3wJ7969IaT11cs/hfu7W7i8eA/r1Qru727oYJ+cnMHt3Q0cHBzDbMbyGG8youfU2j/J +GURtOKl58AOsi92j4yQg6XC1z6CYUN6h2fHEC1eq4mxbEfjY4n775ov9LtEnLI9zXoOpJ931hw+ sPje7ECTPfrrmZPx7Y+8VDIsDEUc3cAE/rA6Iev1F80tPJstYeoM9YQi2+qjQ+ZshLTAkTi1jk0V rjd8QJ8iC0gOxsKeBcGmR1NSn29IbURiWxBdvXUwnjU6jx8/gekU0005q2SBV0bWNFQ0axq9o1iX YBdiCbZq0hpNuhDMgk19Xe6jWA/rGvHw3Fxd0GFarZZw8eGdi/FVwdHJGRwen8L5o8f07OHREczn c7gjgnUEh8cnvd728rXuMw9rJMoaKa+zxZuTeN4g3lklGZjV6tJf/k/jHuTlimViImtIHhBTRldY Vqs7n4JOdSI+OEMJPHKHJUxA/vlM/4ZYra7PaLS03fW+1Ou2y5LL+nlMUD5bJTQXzv9uGYywNFuo 4Zv1CVy2c/hkcg1PpkysqMJ4rE4z6BoN/E9waVEyEOzIzbal9OZ7TU2BucQFhutymj+RhaDwXA1E 90DkWfjz1dWNT2qJBdPRHx4eQtsuAYNAJHvbaOaSSY3aKE9UkC8oB9yoGWcgGL0UWNlgWS/ZbWwu xlAnoiv86Yuvfg6ffv6SkCQ33ULdNPDk+adUJyFM9Ic8OnUsErNJlEvSbUQxcQjGo/a2D3ZRrEQJ Pmd9N6GVwUTjiCa4RJDcPFoRQw8BSA6HRsZOsTOquPlAWWCI2b6hyAwkaxfHd4U6dymRLEoTO3U2 dDJX/Z6MZUwb2ZJQh4D8/e+WIO9SCtxPqE6LO5QJjxXqKzZ+cAyKuDXoavNhuwen9QIeNwvAeFrJ xo5iY5ugap4VjFmim01L2kB0Lt4n5+JQl/SKDq6LJlrVzpLb2RGJczMlx3CGjpttB4v7ZbTJnj59 AnXdwQbtGCTu1keUgExSfjunSZFxy++BnZJRqkOvtKr+9hF5l9tIy8UCXr36Ft7/+A7+1//tf6ex IbIs2XmRlstPrUKBvn1160ZCbiHUvqKsEDwp5mcbLdMSnjzR4w5plF7c+GqccYdHFnvruoJoldEV T/xmg9nMEfHLugRlzEPayhJXf98pIi4HOvL4GBhktSsqUu/1vd/TbGJkbC54S6Bz6x5Z9Hubyt3W tPl+cwgn9RI+m17DHsZzsGOyVrnRQoQMLX77kw0XsoEt2VShLx/FZRC+Q9WDkJwMECJfMAQSW48y 2GYFEUYF19f3kaD95OQE9vcPYLO5o3f82HMs25iSheyWJ5B/VWSJyG4rllmJcSYT5vi2CeylmNpj Ath7ePvmDdzd3xHxms3nA4uqWay4i35jeIGMHa4OK5OyY6MOzg4lUnBIOy4QYrHdHSyqB631Zaoo 0i3Lr7Cg0zyy3UXfylwdO8pesnWWWM+fuFQZ8YB1GRpb4gs7vpx1G5F81BJyz3WMHUAQJzT79Rqe Te7hAG9yg66yhDhjc0S+UXVNcc7vMMY6hUCt4bCZcPjgaHi+527Cwi9Yz7ffvobr61uG683E2W9h rsEWbm/v6DmMKvrpp5/A8fGxT5Aq9l7C1kgboc8DV9LQYdAzoudHxVG3FxhvBmcRn5hT+Keidg6P j+CXf/EXxC5jxmr9jroWItJpV8lrbbQrUm78uqIih9Hzbk8pyrEyB0SIVFGQPXJnjzp8hObRrAZj XrFJDbrhYAp6Yugtcfeii9QmKN+JtL3eZ3dEOkl5KJEbutT11sw868+ujvXGnt2OFZRX1ZwFOD+u 76YP+LkROys5fEw/UjibdbYUgtV1cLFmFg6jInAmDJZZZfukUJvw8xSJYb2G5XINp6ePSJAuweWE KKNd0mq1gn/4h3+gWFfz+Yx9vkh4b32Tqo+4HWO2MFY7aDRgXouacPjQGYkKypJfU86bieq0mcLZ 2bkbQlU0vYj2uu5aNcKw0Y638ICYh0QEN30onQT/2bCYpbk3bJLuu/Qj22aVi945kOuP/AYnMJuJ sB333TIr8M+aWvRtoPwdlEdcuc8PKd1PiMxsXRmCEc+1eUR/P9KhvtgP2wf3XYNuN/S9Nyu3O16o ZTq7wtYsXBhTSgyKWWococqtmz76UagJJ2zGjfTkyVN49uxZxDqJ6hkji37//fdkxoDIa7m8TZ1U f6oF9AdOx2pKKxeU6GVIkXyIQ6MIwYlpqouawC9lFzpoYjUSke+H8/+lhG43uYxms8eiAW/02yMP i1BixkRCz3Nvnz3xUh2xRLJLhe0h36BLP+9dYnuQ6AAaTX4bcTn2XgYD70IsoUhLiQ01ca0G39HN YnRfShjBaeywrrkT/UxsVSWW07KJen1t+xZhWVcNKzQO74Rb3v/rJvpy28HpbEK+gPmcYkHIXCqe MGEdLgLp3d0dESdEVp9//jns77MbStPgDTl37iibEMLWH/Aif1NoXL1bWvwE1vrBmZx9ClmpcfFU OQdqUQd7OB1mRi9waqeku2xYzFIxG+MhpSSP6H+pwN4pwsSh1NRGdfUPsnYRbXJiAKGqpcPv3sFL bjIJURk4m3MIrZ1yowWU9z+rdDs8uyOiLREY5PTuty2sthzuyW8HN92rLRKvCvZd/k3+bYAQ24tp xLjo7I8av8hbFGsjfVmiyw0AaQJ93CmtReSZ0LOSbYKJ1YQstyVhJbKISLAuLi7g/PycCBazjhuY zw/YSRV9Dvv6Plbr5RbRqv/7bW762Q+eq4KGxXCf4zbiMMHpva36xkOLJditz1D241iZQDTTiuTA jBYGK2XNQKO+ILpCrwEsuM82a8yOx+OODpjeD3KxjEVCY5BYMpTYYjyRefaVanw72XfVHo3c4FwO BIzkgkEzRaKBRGnPp7fjJMJLl+lmb4K0wK3ymCU0XIJ2Vcq9T+FlfO8iy+FCAyRk53fQph2NQk+n Dbn2ZB4OQecUEYvcebxsB0h+43MWUgRI3FxT+oxoS9pHe5n5fA/uFxdGhV/tdpA9cd8hMWVuMybs T5BXiUC+0Kn8Z99NY9eVrSIlrJEAW1nV9xKhXcQh1U8hHylfXIElHmFmod2g+vrlcmBykonG7eMN RRWNBIO6v+67HOdUHNcYFlK/U7qwxrJ4P1UxxtF8NjmSChIkJEIk7hE0q8aGqAcDFiPBukW0BS7b +ViDbW501LPo0afsiKyPliI2ImOhAHstZX5uHWtziiFdFLrSHdD1+C7xdRUtKgvXkR1Ep981sYFI vGazGaErFMDj58Vi4QxHtzGULxEea1eVkZlkbYG0UkAROt0G/S0sjGuHIyYIkXAsjifOul8Dso8y SEpKlhCZr3Zlafrsoko2Yf/jSyQQDP9mtMKUnakKsithB+2FN5rVpkr6rbU98RUCVUCnO1l7dxxm aadi5TsZIinnNMwHdxoJD+bj9E3m+o/KtgrgdMr2l4jIVnVHBCtnjhbOnRuKz1fCuQbqnguh0QiH UjTYDinXHMxAs9jifx1gGD+M+Pl0j00X/EaxxosmmoMT5bi+hDTWDIMx4sIe3NzcwPv37+nvJ0+e 0H+PHz+i79++/R6eP39G0Qo0e/VRsDhCKqqDnkEKSND/nm1PhOvh+olYG68K9o/3910tlqDRXIt9 n0ep4kNvC93YjShFz38ke2QqDiW77ErGasrt3QKqCqN7zOCejI9xv65pzJzLu6f4KSxkntHEThOB AsLYCdHbd6sHbHXF9iXE0exFLW9GYhLRRsU6Wls5LPgs5oZAe05EWpjcJh2Ay/Hp7nidq10iCaMD hwTt1CLOTkdrEJRg3Us6dzutHbFCJ2Z89nzekGEopYjPECu+0VyQP/WMdfHxNk1VBavFhiD7hw/v 4e7uHj755BM4Ozuj325vb+Hdux8oWsHLlz+D29uL+OYaYAmLC1mILOCJqnKh8M0pWUOuSmF3I2Jh hclDEUWrfm1f/7DKPoFZC+QCmtLI036nnxtbsutT0pRFUxUreTwq1uveq5Gs4fLiCpbLLdze3MHV 1RUcHx/CZ589GzkGtYgGZUd9lEf71slZ0JfGGqP8gd9tGbE/IqJV2noDfoz23NlHiB2sJ3A2SyQl nBPTLRdKlpDdxH9RRoZ+x/gZC7KeGHFYvI2R9lEiVb8ZI5871xdnY4XGoFdrjhyK2sCjRpJvBnYr YvfMBGGIZP08EQUfFjjQ15vba5KPPXr0CK6vr+H3v/8doSx07N1slnBycgy/+MXPSfZA0TdtctHy MqWbPhqo72wvMfFsng537MbomZA+IbwLES1zHqwXAovpP1vWphtrliBC4pQ1GiLopXqLKE5PZY74 5pqzcyoaqyyrxCF3RpeizIszKd3eXtG/uKcuL6/gs8+fe2+D4brVeIcIw1B9ud9dnZYYRp+rgoxA lmOEM/Eg4taIq2ecxbZUH4Xx0oXSzUfjCGdIPkp+BzSfQFdBymOElAoJVtxJJedxldysmQVEqIfW 696R1sqlLHbTB9AK8+lAqch+FIHhA2w3IVomEqdnzx6TIyqiquPjR6QlRDut+/tRSJgUAAAgAElE QVTrIBvww44JqG7Lm1JpDURPyRq8OeGrH6PCqx79+LE7IqwvZk0MSfAVN5AaR6aENfK/eoDsaFdW pBdJqEOSlAzLkW038264LGN0mzxElSa3I5Qq/Oqrr+Dlyz8hw+PLywuYzSbegr2vMIMgvSoQ9AdE HUj6qPraeyFVDyBGit3rbd/vyXDRPZR19fVmAEzCTqrMQeCO1sGkov+id1skXt6VRdXuXkRUhbHX j6cYa91Jc1RkRO0P59t39cVsU26zurrqKXz/5i2CsCgu0dHRAQXla9s17GFYmilGE0Xbq5Ysk9G9 IkohLv2OkKLPD9arLs0bg6rAgUNarIhdcdmCBjRzWRTFnc7eWoFYmVRJ5r1qAHHsIjwvblbLvWlN 3SgUGPdPDrsW+FqZXRbxyv9E05e2i2IGtNtrmjllVZpMOjg5mUPXYWTaoU7yxAZuILMnxnHq5epL ZVef2OqBz+i1o79VUmPVjyGPg1x99tkqc5FFCNvWqSaX7LBWXU2wC63F+UYL7AmygsiPoquNsBps pMcDyrJXNpyFJRbuWURSuJHevn1HwnbUDvKzLckXDg7mABWaqQUTCLShETcK7pGjyupWCmAxDq2s N1w8t4r4ZIrcN/G8B0dmT7STJ7qinCYYy1mWzcV7t8ajolH101fY5XHkm0FV8cdq+CLnaumAIsR6 XOqlnv64OXHESz8Zu12F7yIbN4UKBPXiRfjq1ffk6PzixQuYTlHbzIQqMVrtG2vv93HGqVFFs3EP cGGp1DxLDoOsAiqaRPOd+Zyiaf5fPZ/B1GbcZZZ2PAde1G96TZJ3AZqv1yfweXML+xWreCmFeVXB YoNJSFmAJrwoQ3WMKcr/as+V/sOkkzwwqVmttgTN9UIjskJUtbc/C1BRiFWNKukJbDYYYTMQGVpw vQA5cUiGmR6NAvQQvFHVCPjfd/tkkE9kTBrVw0QtIqwFv87AS40fVlRHH7tRCBei39EAN7IFU/87 iBgy1v/JQbPEwVmt5/rLsqtb+PHHb+HNmzdwdHQIp6dHcHZ+VBz/qL0hz+p9zX+UT22fW8zQtCgg kV5wBXHHLvsggj6ZLNsldq5EHHP1mzORENgcETeladdr+KY7gpezC5gCJyVFmRXaU6CxGFmtusw0 rjZ1qzk/OfxosjjbicBHSKMINamVb27uY6vajuOyI7JCX0TKsedWmN0ppkHY7rzsPQFJ2DyNb8Pk 6FuCfx55pUkIHY+ISu8JuxbfQ7JBNausCU9yiK1piJrH8MHcRNE+HWAxc6XAJmtiGRQ0Ru6SsIbd g+Ro8m0kn9yR19LE5u4Ordhr+PTTz+D580/g/h6Nj1vY30d28AFUXcadzFWJZU2JjP28a3gXXQIK 9TOnfoTxRYMNywYW5qkUdcNfJiXW0z7v+lpUfhjWsDlvL+B1+wm8Xh/BQXcJ0G1J6HXoHBrRgl2z GLb79jbSVFN3CH0E0XDv/m4BNzd3CbJCIfve3pRCK2uNHtYgkSFX64W/gXVs9HSM8Q3mBaI6HPCo fRJYNgaSMfsRCVozCyvEKurDiBNYlN2M73jciR3LKLlJD5DI1WXnLumijXvVZ5SZ3OyW1eYLARU5 mGAC5Z7oKYGihsePz6BBs+xc50vE3X5vXmXWtPCjPSO6rgxyjL6Pmuwjep6fdlFcVT22O5k2hpaS 92DoujXX0eNM1saMP4de9dzo0Eg5mVmzX6/gCO7g/fYAqmoOj5oVhUhGy9UJOiHbsSrh8nARFFHB BrWNixtKfMoTwCgJZVe4kfb3MfoC8+OMnLhB9v3ao+82GMLWow/WKJa74TSRxcL9iu+oMnKycqTS 5hYEpu2wwsHrnzOLjLSMyBNIz4P7Yf6TlQiRDt2Y6tB5NKke6DsUctZ0nVnj09x7/rU0gQX6DKJ5 DP6LfqmoIeSQRfFRCPOcR0RSn/QvGpc/YIXBlTqun7fvjkDFlafLOnyR9M/tF2tlOmIei10eG3Cv 5wjJ79El5raz56ajqoT7Cj1sUNtWr6+hbQ7gGg7hEcmtVt4CdXAltLFl8hNqASewXm3h9vaenJb5 MLOGDzfP8fERqZgpRReFRg42U+gMPZ9hclRMxLAgVwr0K8QNGB8HPS8ikI8vG5m0GBD1rILip5Nb RLUVPazGzda8cVC6Un6HoiYxU8dPUYqmCv6WfECmZcMmRpFEH1Bfr5lAD5rRfcEQRcfHK/JHRc+J qsJAk+ltL6w+GpjmZcIWUiXUctR4SvZmUVs5rsEQsEquVwdNgxVgzBLqiyOr4Ruc3xHwawTS9vs3 lyZMEdpSffq95ratSOAO3TVcwDH8uN2DWbWFuUueKnWkvVCRNzOhJJgoYfyqDcmsVqu1t7FCiI4h Yo6OD2Fvf0rqZdJSKvkYErPZbJ9kV+hbuEZitdnAcsUx3Yd5/zByf9vYqVLJIRL0pIiVX2xF7RyO Ciymalcjq24MYcptqFLsrRJ70YMSS6YMfX16EHFUrBx9jDSeI3nIn4Ym0x7Z3z+BszOUfW457v9m KTFtXJfY44K0bC1GC+F9O6qMIFJZeV3PNOjrr6/6TggumQapS1XvBWveI7/HGzKL7oST0qY5yRkv EZkR6DAf2NG96Ld2fpIatDrdbzo42F7AqprC5XYOx/UamgpzNGNiB0ojEnpRuC0jYTL6Z7UAiyXm zVtShmaxscKu7O3NSRO474gVOQw7goXNYGbn6ZSJFaYNX2+W9PvWCd17fc2UnCjWVOX55ki4HD3S jzRiAq3cRISO96SZiltJ+6q/zz2rm/2Yku2f3zwPLLJ5Lcoa+97IMmQE3LYVXFxckv0VRqdFQTsB /L71zBz8jy1CtLJaT1Pw65D4bmT9XTD7SaousfG5KYjoRZ7z6CVaH1H87MjN3wNGmtOmgvW6hWnX wiO4gh+6c3i/nUNTtXBYIWsoG0MBDG8wGS+CoKrNGkMZbyjcMbJwSKx4oEysUGaFSU+F+NC/Lqsy hq9FmRWGliFihXZXJNdigoaRGvrmqPeAaH4wM9mx+YAsiDJlsLy3mxieG/WeunoCaOtG99OynbEq 2QQMzA6w8G5f8QJPtaOHbuNS//uCt41ipZRyoYeI8QUnYajDg5gH4P37S1LuoKEoKnT2DzBoH1eo 7eDoedyfbn2t7V43Nlt4T4n3S6jD/6bmI0n9ZhBSpbXdnuVz/rmqHj2VWXsvq9Qw2z7XV/pby/k0 h2JRlozHEGvrqyxcivxv335CKwRKpIpB85C3P6kW0FU38L49gnebPVjWNZk6YB8Ric3rFqaVC+kS bRLeNO22g+VqQ6m4EFVJyBgsKIdqphM4PESZFGfGESKE/oMUVoIE7GiRPPPEioka+zFiXbMZJg9Q 5gEJ6x6HfymV0efPoQW/WMqyXfoR2zQqn0m9jkoWNsTN9hMaS/hy36ZsYJ+WLqpoxzI812qm005G rK/IePymHiHJjgkMrweGkHn37kfaL6iBRvEDJtold5wMp4AErlMZo6RviRTBjPunSDqb1JuR8Yxp u9KoU4k5Yi1zYZ0tMVTtRH3Q+1ynQIvv8/BdIbKpHVesZY07aPtEBIuN7iYkaH9U30PdVXDRHcD3 mwMKxoXTPKtaeDRZwuPJPf3NMiDU8k0YVW1auL9fweIe87sJ2uJe4y2HrjbzPdTW3BO7SJ1W8iq8 5aYNIitOLEFsIBIqn/Kr8+YNDO6c3Vfmxs5redSfTEFcwlFlqKit9F3fg+2VWkCn5iWFhSPI/Ex5 A1tDyuhA5qx7q4ILj9xq6bAKhVuLCGAW5RRchZLnBprKfc7JOpL6Q8SP5PYu1U/fKVs8Cu7IFyXu KZSbsqHosSNWebGAP6x9VtYPRa5Jd1O3o6SYfaznozMEINHgKuSkUW5CtHIETdpmV4NQt8scJOsR 7WUb86tn3P7fHLuZI+QZgtdIxhkhXAiOH00WcNSt4bLbg8t2H+67BhbtBN7BHnX1SXMPDcHRCbnq rVctqY8RKWmhJSGzBjWBh3B0dETEZ70S/8NgkIpW7MjqsYCdiRUHwkOChbIrtA2riU2Umd7Z4C7j L6Vjdckznhi6zUBkiPwcA7HCH5HA4ncReyCLphQS4eKQHVJe0EQuo1kThe5ytyG3pcwnZIMkF1+6 0bJaqeI0pmgtYaNlDGKOkVNc6LYi4ox9G2ATPLvu/vAEsYKrq1u6PI+PTzjoY8dyT4q2lPEu8DKm KnPI1QWl+74Lm+0RpL+bCpepJurJcPMErkq+Dwtg+2zrDXPt7BkNMZTdEzSSGYLnPkdEy7al90Nf //sYCoXCKVoDH1IkDigfaaGBCexNWph393BeL+G2m8JVO4fbdgrvt3sUYOvJBAXhAG/fvqUakZgI sWJZ0wT29/dgvoeECOVVHOtK+FFJpz6b7js7qy2s1vccBVK86F0OuWnF76GZQzA4db5ibrK98dwo mYJlI+NfY9dAhZyUzAP7ElhE90y0UA8w8uzrr/GZGzo0VuEweMg0uiogoVIdiUA54a5yFDDDzLo+ yLxGl7Hmr+UVe1t3HTx58hhubhbw3XffUcDHTz99TnsxcZRX7cnYEm2YITZ6PEVzgfAQ/YKWjFam R3k83f7vh51h7LFRLIzIrC2/FqKhqnXOAWFTDYt8/BgM61noc9Its34Ju6glB9aJxS1VIx9QtVt1 NU1mW7dQdxycb161MIclpbJfdxNYwRyZPLi9WcDdLSY8ZWLix9hxWOOTk0OyKEZZ1HbbOWE6yqdQ 89dCM53CfHZIRA4NSjmZZQgvzBcoxpAWtyD5LgxYnD4jQw5zY9vFpHfoGcXKRZsA/3AyMzuTzr6K svowfMhslbCY8ZppnlQEptLHccXbDbmEldlbs/BeNNZsKbCCSZ9j9jKnTEg2Yia0j8j3af9qmZUL cBdokjkcelL1AaAKOkq2+/r1G3j8+DF89tmn0EzRFjCHajIXgKqbqhyQY/WV8iXhuBmV8GTobhOG AIygPG3D8wTjcKCK8OSgtv3Z79HBtbC/R+yvqtASRO3vjAAE80RiHHk8pmj8W2O8eG4MM/dweBk6 vMwa8lscNq0jEQ9nXm6qCdSbFja3V7BYLAFD90vaeCyiDWRZFbrYICsnBIUJGXZgNjugrzDUB9rF rFb3xPJFq+O5Idc3C6M16+EPorCJsXW+niAmVpIdOo/IFBMWiA+yfl7AnrFY93A4upKSXhApJAt9 OfaKlXKvl/2wxhhfmh3gN1ec/5GrM233Fc952Q09ltQGTY+IA3zf1PpBhj3rBc3+BuMPeHn+4Q9f U3C+169fU2Ta5y8eQ4Nanky/E8JrgGKwp7Nt6ufUGDLdy8xEhFAYtfSzBkJ+OjUvGt1o1jbqS+ZS y3aOBxvtxwjVa9GEpa6KkObKpsVwyR35KEs5cuGq8KvFhv2W0X9Zoo1OMdmFm//l2mWegg4OGqRD Yk1NwINDG7dVS2459WRK39/drWCxEAQU86NIqPDjo0dnZHjHSb/cc3L8nVkDyhLQGBS1f/f3l55Q xZemmXwd/0lPlkM6nbaOx7eU3V+A9mINzGMUmJ4snOsM9wHnxLGAxI4623/HAvpsQPG6+b9VJzJf 5suQXC5VD5toCaaZYTYw0/mBZ3exLcvJJ4K9EwkCNb0J8gpaxGCbk5vXiJi5iwrzDf7857+A3/72 t7QvUSTR0LqZYlG4XiO/ZcLk+EtxYMxeoOzGwvtYHgiKHI9aYnCk9l6KUPVvnZuXMkumL0RFcX0d DCD0nJYueW5KJyo2T2a6ikQKCRRm1MLIoRiID4mQlB+XLazcXMzrGg4nFcXcQ3aPPEQcuhXCKeN2 0UqZzSHqhv6DGKeqwbxtE7i8vIHVkrBUEt+K03GtYe/gEM5Pjyl2FRMURjjRpGMcZ5dhF7WAi+Ut ybRInazxoJpu/W6Qr5iJlcGhu4Wi4NQ/WRDXn1yJ2BR9KjyikGaCeYYsdo4YlGQa+vYuEaVeeYip bejXOMSII7AxJI3alcNV6Jg6gwP9U2xjvP7piWBhvGzH4LaiFQclly+NSXCo280WvvvuDbGCX3zx JSXdff78CZycHHhliR2T9CGn6cqhT0uEvTZZCEKk6Ah7WtZD2DoestiOxc+OVSTVSiaWF8Zr1JS9 k8N2z9jMaQWQvhiJ0zCVrSmEOmeCRlaODF8rgGlVwUFTwTmmVnMhqqQcUeobNxbXB1mmQOANAnYc DPkSojyJzAUAZU4dXF9j6BcUlMd2t4KSyLVm7wA2+y/gQzWFR/WtPxTW8la3iERENH5IhUW2IJ2P eHLFV2tpQ8rDoQdYDa03pO8i1EUbVkVBxXF5SZ6P3hAIlywIbzCHEI02MUF7rh/+1tPP6a5mLe/H bdJg/yXNqXkyCD0rFAmTHAmNe0sBhA4/b1l4zQbF683fGZ9JzAGAmxz/w3X07GyMKHij17SPTk9P 4euvv6HEu6gA+uqrz6GZcgTw3tKN9+HTY4x+V/tEBoj7HH8mrGjYYBErEHIxbFexm94KHEJbxX6q 1Y3QHl8MqTwxz9ZmDYDd+C7XmJCGRUeUCqyp4dgRHsK7BH442ar0SOrH78eUnNa76bqaLN1RFYyI iUVYDrqqcMji/4dRFbpuA3ebNbyrjilF9bK9IUt5vwEz8htqnlxw2Hl5hWGOVZaeboTA0rOYap00 0RIkw4amWiAfL6TUwATWVxEdCKlRDoW0FxFXd1uOkTNF8ipFPPx1WIpf3s/PxHAjeizNXu2NXQ2F SzZlrr7CmEaxSsl3qh3/RfCLo356sxM3BmMjxXQCL9WOxBVoc4XOzq9evYIvv/wc5nOxbO8p3RjL /PL44n2qB6M1nTKemIUL/n9uR44xLely65w+FlWluufRUnFBcixxut5vl1siOkcNsnEVJVHFzzrH 4Nh7eGwJzs+3C8BEyzk7IJFP4eIjscIMbuhEiihlQghsC2uYwl3bwHG18RPv6XskrOMbBS2P5/P9 4mbaRZBrRuRuEpafJfBcZemJjNj8polJZGRN71nBgAgcnjQkVO2WiMXtYZ9K5yTmTkN/S2WAyORu z0jlqusZUcLlMYZohe71PanZLo8C7Xr5nHbcf0y4i24433zzymmnT+D0FGNeVYOCdqlzZ5u+EeP2 qEUHvJTviHNx7HCC3tM6B/tY7dz9cXVZ0YErIpPC/yQpzZB89eP7xRdAg5bBfuLc5uAQLugmwzGq 0DwBbamQ6DDqxZyEFTTtFlYwhetuD44na3aWlsEpYiV/cN0cYqahCKLbrC3MUPFPGNbHEg8iMshS 1CywC9+JQ3cgTMga5zaORwgFo8NxaCQPuXsejShQDKSczdlYTtLzve6zcikSrls9bPqQF4AUfRs9 COoXCNtKPbsi9RUspwWNs1zSbeDJhDKDI4eAQfqwHB4euOi3JQuw9IDpuRlTsoJxrkSxWOnFJWIT +VzUCpu+xb2HosGllr+FPqacz6hx2thVriCyyrXdV3eQ1e1GYO3jDS4+++uxiwzGDsL28IZC/z8W hpH+0BlMogC+hmlbwXy9hTvkZ7cz+IQQWBhoqXFk1bA9FL4vV3dq8w/dv7oi9ZzRHPKG0Wp0tpYX GYnceCRfcJpG32XXhWgzq4OYMrqWWI5gbXuHaOYgGpvqY0GtrFXfuo+JFXekmhs/7XpcUneWZSpu yhRrBdvPeKy2rS6LfNkZ/vnzx/Do0RO4vr6CiwvMGN4Ur76iuOGBKKv4m3D5qr+R6cSIg5t4PsDA K3pZ1eXBU1sgVmOHrfsb36BpH/rGZn8fmIeYvUWgg07JhKDY1WQ6a5wWApFXYHm85sa701SwX2/g wxbgvp3AskMbCfQ8zI9T2DHcoQjjcaMtlmQ8YMaT6X2BFcpuPscqsAA9uByhQkE/41GVPB+OULal MJb+Ffa3aK4e/VWy0O7e7yEefYcq3OkD/bPuSLuUhPZmNILR44Zw9lDGrEwwYzsWBNYuusdk6v/D jDjTqREFFNrKjis6x2MQSB/bGZziExRltd45ZOs+R+Y9deby2wmdpfXvVMaiozHP7Ii0pDTzWQPN bELQusVAeoRIBHrLoOVmZiNO3vQd7LnIDfj09RbZxDU0OaviaBzIFq4pISoKtsMvJWFOvAFzEDXX TulXXHR07hYU5mU5JbMK6YZHBOo5H+NL5l9sZAr1qNslT5hzbaZoyjQaoNeAzVdk/Orej2QsOaI4 hAIMSku1SnEFNATtmZCR6SUsm7vOybTEy7SQzefoHtLuGmP+Z1a+l1hqMwYPQDOXIDfSPxlhKAEN 6/GpOfDyLGtaI3LFHnecLkLh+YukwAsX34nq08+W9pxtb0Txst9dUptFaIwRNYV72bZrzkij4+2Q xtC5yzhbCpYF8YHHcDNSrtsZOU2jcUR/m6hxRDkWEPu5QZmW24B5m5KA8UTIrYnCiHPvn5ebTjaT tVrXxDklKGJLwyYT3o8wZ3+j3/cbs+1FKcXD4NlCqS+hampzxcQ8GzdLPRMThUBMYvmTYR/Nn33F KiU8vY60cqzE8fJ/v48zF1MUHJbDyKDHBE9TS2G0cyYdRQRoTAPig6SIVE6L2jsRHO7bfzIXideO G8F8P4LOz4e9HIMJiO6fQbp9mp5844Pfjbcj3A1ZReeDwly5UBz0o1ocYqMoUoKLBNqitbeLW+VY KR8bCwAW3QTQnDJuzV9ZqrM8MPQdxIwm2+1t8Neyec/UO/qK8vIpNyR/HLwVdcz7R+c9Oox6YgoT 5bug7FoEeUbJQyxrG487jxrsOPuJQfFnT23i7yLBrLuxfY8UcLbV6D6Hg6tQplmL6ODYm3MI+us5 NIc2bkddNBjvH+0HMZijVxStYLNd9RoK+zHZYsditMO8x0xkgRJgI1MLDImEDs6CZg1S0i5YI894 z4B69lTcQDT23IWf4QDGEqFdUNaop7zjuZgVMd1B6SR/gf/vLM/JPafbwKbdOK0es4MSZYHzBNYg 4dCive9vOLnBg3xILR3FaZ/PD2G5vFWbwbhmF8ejIbqaWC+zksdC/B55T1CEl5nofptJ14ZrAcSY cDI7LJZbigKxUigkSKLzsh3+QVca/5uLc6R+1yPVGisZn+2TH6P1GbObXbctBpKZEnc9ovrR2ONp itEwoiuM8iFjWK0wB2H5kMWEI45I4ecqoubjUJq+2CIWTtdi1ydThrSFxfcgRYlx/0y1PbaCuT5m 9+vQJTS2uH3NyyomHixbxjDpHMIJo6Lg3wiqOg4vw+MIB5PiCE1q0ughYaFwGCibQo3idgNdg4wf kis0wd/CqpvA8WRD3wTPe/mfYOukiRrGZ+eUS0gIg0+hws1hYv0Eh01Lh075a8lBZ4NR5eDs0VGw w/LCXGVDl0X5dlFEC0mwOoX6yVqoahIElwlPW2KLZQ6zZhTWhUGjOBONE/+X2eMyC56rM8fy6mel /rwwWys0ohFlpjedyOA2pZACWlFP8NLk7Uv2gOtFXvtniIlnhbsya6jHNbYErTTL2tAMSLdLVZcu kREo1PetSsemx+WBgZHLuU6mdfft99yafwQipLPqjYElOiwSJczqjsE5mTCFRMlbv7YdbCkJTaP9 kvTA8MVpM4PNhFNrURjlCaIvDIWMkRnQjCHAbzQcnXh/sHibRmhGEqG2G6ctbMiGhjR6OWFn1DfW +IWFkvgfTiwr7KC+iQkR1rHtUQGKe9lUX1HoTtAA2sTrRYkeL42FJklu5/xG4r4koveo4lhWRvE5 BrVD/vznDm2fQqBI38T3T7GN3lo9cykMFL587Jdhnnhzz7zoYrNZeNOVXL+yJUP4498Heh3ZOak+ elGB8U+VYACGbefXdqCOXeF5vT7GhCHnr1uqu5dwPohYBQUXoqYJBerEIDGo6JMLRyILb4g4UYRh UgBqo1v+h2RYUT9UCBAMUkdEa+1YQ2If2bC0mmyhq2pCV1gOyXA0d1i1Vbi+ydBKeUH2WOv1qnfI VivCMi+3QgrlMwV3dlVu0TSxynQu+jNZD+1xb2xhhOZRuyLAF/Ql7Cn1r84bm2ZLbBSovf/TGN7K c79nnwV2R02UQVdZdqSgTMhDvFzr6ZrTUDQrluu7RuZmvELAJfZ/IFgrl0hCjcmydPaySNqMe54r RSSr5qTIQo20syo9nBOWd2ovxfgqHlfSb8sK71pKUSVoLOjszEgJ6QdeLA3lT2NOCoeMVgIYWmq5 wCAIktuBL3AzwGgcWBof0yranO7eRyHXbArNdgrtkp2et7ChsCCwraElh2k01d9QLkPvXZ+xCoeM jIvlWJhxGj/lvPPTaz2RPXnbJbEVU5tbqfFJGOqF8um8MNdaJXIqq7bXh59nyr+dKAfi8eYQYwZd WeqZOVwa0SQDycwgP6fWV02rnqecWUQfWouE+LYbut0cq6d6pGFYpO2SZ1X/+EBwdFt8BvcQ/pfv YNrukEnAg+RIErMtYr/zhM8SCS1aK9Yvu6x1og7KZaAIpgIZtjpNWKy4IBrvELrK9J+IEqImx54z a0eRrDxCQqCzWC/pXw5VLXtQzq3SkOZuMNMnErp7tOD5uSB3wk6gzVS7RbXxkhKa8k81LN2gT+q1 n5bYTimGwPYGQLYQvWTQ6K/DTed4Af+Kpy+xqt3HexdXDUWo+CwHQ1ffliNWInCX/vhkvFazaNBQ 4vfn28kTCrPKqa1XSciq7JASr/qI/Uvf0yOLoKezF8tp9zR7HcwhYifdwFaY/idd0DZdgWXORcLV ayzvyprZcMb6EkXNoJgysHxjGV8Gnv6lGufkwHrNaTlmun7PXl56/ngL5MMO+fb8c8E9Kjsnth9u bG0UBTegcKs4ScZsAFwW2fUQKzYUR4PyCYEYTgbDGlo5i52XdyN7vvF7TWTKvH0UkVSKoaJNVsKm u5jueZ8wv7Nh0jQwm89dEoktbNZr2CL1hD2K7X/bNhQ9UKIbhE0r1NCwFI4YMgVeu4Spm3hxlae7 n3hHzMg/UFxwHJqKbfJTx2VNCG0UU8vyafbJHswwshDDJ9GmqckORCCF9rp3ZWsAACAASURBVH6r q0Mrz9iFi00MLOmXses+hhTg3sbJEH9bZ3Rws7ZBtl+GHYyG3pNBWfanDIKImo6U4WRf/iAGxM9W 7UHYjuygfi/MbX7dNMEWomVZyUGtr9E8y5Ac0FfuRq5JZd5DURuyB9SQLHWEUpcqLLkLcNh4uK/I HDNqYrQkWjpGTUh8MIDB1hGmLREknwSZxhqitgw1Fq3RyP6OCBjEgmu82TCLLm2S9QY2ywVAdQeT /S1Fa/iwRcPRFiaUAswVu3LytUM2ODnIy2IU0qpiwWkgT8GtxoeR9adUXGtiHVBiya36EV4NTrZZ IaQVWOpbOWL39Nh2MWzIEKTc+yLLyWxWT4AVquQfNKPFdYoNiyWGQQWfagvLZgEGQUcvKWQlRMbB fNEORQhN93t4NqigbIQFtmLrtPIhp8e5+qiOh+7GLLBZ76Lm0e8fy0upyhWxYcYloKKIpc8K8NPx 1y5Lk79/sjKw4cJnhFm6CudUZE5OQyd9lDR7GE7KJz12BEoQdFYmW+qOZT/7YKUuaopJCKWjPXq4 5p/kh0kAP5u5tPJ3hIi69T0czq7henJKOQzxWJzWK5gi0VLpg4r9IBnEiuyxeKJc1FIKwBdSfAlL 5c0TvE9jfGNGDHy0UeNss/LdaItzp5lx+G7EDO8SOymtMRAXBXb9qwF9MuHWb8mDYe6JYPWwc9GG y0Fycx49wTPoyl8w+gW1Ph7+azZFE43CHLjGGOk7n0GNriqN2HvXJpaVxIS3/G6i9VVCp+QC84ul lSHBQ0MUXIRCti3JfkpEMdeHSu2XVLOffzfYNdXKvoltnDS7L/ImHxzABQ2I0gAKVXDRfaMzt+ux GEuoZGydkmGNGTxbxDNriJBwQ7BwAyfrHzGOAyyAE6/e1jMiWkf1ipyhvZYtIyvg9WUqjpOIbjri y8iw00VtJAKFk6wExN6uKvTZixwVTKcmcmhKH6a+2XsYffIjLrF59l4u1lGQdQ29HxQPwmL7H1LB c/8gTH/clwOaLc326PDVcukkRMvOkeuyxPjGA4fEihP38uFCcYLuZJnwZELfKEQ+thRNUCwKj18K m83tUdzfiFTQ9NqaP4xiSbscEXUhjEEZXJJQnKOrgBHXSORguWj488ZnZKJ+aLGAvrT0cRqLrnKl 71l7iboppMzPY4u4Q4g8C4Vs1fYGzqsKFt0BrOo9uKr34b4+gJNJA2f1giI60GQFRsGrYGXjILQn IR6mpleCccrY42zCtGGrH6+6Vb3mDH66kqquf6p6Q519Ql8jCAnaSa9sMDA7epdv1ggUqo3Y21ah mGsgfNv16w5juWZv5UpbLcCKfxAtFHgbPt4rHnN0mSQmynhSAyH+6SHEKqaxo4hLNG8sB+LQ432c k0kD7x7uNLFFokTuKkygJLtVOAMSwdUhOqe1E99gLxiXGXSGmkxXJWei60LWv/Rhe2in5x4qw4ra wlhYzQy6vRbq9QS2mzXsb29g3t5CO9mDu/oYrusT+KHbg+VkAo/hHg6rNcm2cpIG7P0Gk1lM57Qh xd4L+Wovq9IarZJ9kI8oGteuf+cvzUaQn03d8kyihtbswEAZIw/pI1rJ805TZCqwMIVkWRGSKdWn 3xkoybiDtKC/DT2dSuZiCWc0/xK+3OekBGgmM+/zintETBl4B8V4M9YQS0x4kelZ7WgPkXADzMkc M3x8vniCwzMlBMOnHjNn3+4TL/6g6J61mxNm77RyiS8FJk4ccw7/3bJoxRGisGha6RTMIXoZ6v+R UU8/imBluAeUZ82qPTL6XK0WpDWsMCjf9h5OOwyavIYLOKNU9+v2EB5N7uG4XlFSVtHsCRQVASpW juYT+Adlf1bajphVSImV5u1Z0NrDMKlsLIMyD4NM7aHyP4wovbK8EovGpzaM2csFBxBCDmmWr/Mi MQqiqAIRsho27WdpxwL9hzL8kppzkOyKHJ050W+w6WGbCb/aOeG7sqVLTTl6LpIRRpXZ/SOd6Ww9 YV5YxFGbAItMSNgi3LFx4rriFCeVVyrxPFDIcWLlkDBtvbw36++pjgQJ/92+Yjo2Mqmvq0M09INl rNxjbMFoDR4im0Wkf42RpV5AhOgclXQCy3oJGzKpR2F7C4ftNebfgUs4g7vuAJbdIdzXDZxOlrBf b0ko73lkJC4uZRhaLzO0rdneSxKxmn6F/ssKVEVDyXEz6zZuUbTj+YjCPOaRU/rggOOpFQbrcdmY +wkN0QRcERNze/sHHM9VjdlwGp329DEifonhp7AnITJqzF+Fi0DLrrDPSKzEwLltMZO4s73q7bun GGGsA+PVF2k8Df02XTLG5L0M0SOCROytCMGZcDFbx1o6YfFEVivauq0j1IiY0D0u14+dJBc05xL2 SOsfe0qXjfVTflMTrbGXfELsRyKsIG+SihSkd5NJgviZE8orLcMRLGHWvoeragk3cAQfuhnctA2c TFZwNlnBQY0JLoKpAkJ8kVGgFz5uUDQKFHXqKNZml3lRauWux5VE2svJMPThG5SeRdbuRjxV2CS6 P9Y4cBRrWora4Ile3AtKEW8Io73IAu4sWCa7zzHLlyX/oR88QP26D45IJjUkbGfBMVu2s9ggIv5G K6yJdRArxG35Z7yoKxM2R41dm4SMUdTodmUuMcuMECW2DJfQKZPI4ZeNMJ0gPCcC6cpzP/oCkhe0 3aSpK1r/aD1zDZs5GUH/BotpqgkItj/crUxXdDDlDNYYa7mBrUEQk66F6fYSjrc3sKwPYFHvw8Vm D67aOXzW3MDxhLNE42JiAMGq2ofF4pbenc/2oZ43nMoetUFRfCcra8q7fwz+Jvy/MirNsivJ2oSV GE20lEtSNUKmJt9hLH3+E/9VsZ5KaK0bJ39L7JT8/AqzTDgnstfin4Swc43JlEob3oUgsGWWAKZd d4TS2dfhJ5SX8kVWsWbQC4tt855f4d6LtkvJwXJt2b95avtsxIJ4wGq89UWORQvEtSEmFvGhY20n IqdNsEPMEYYHxKjC0vtOJsWeLnqMCZtZjaRKPyVLyHZYAdP1TQTbgLKxokyDHD+Ko1VjxIVwmzDU xU2KmsQNzNtLOIVbuK/34bv2MXy9PoHPuxtCXGhZgzw4e9zXFCOLskrvHcHe3iHJydYbjCYZEkvk BNKWMPnljvy82Mwhm1XYAwdFvNXtS2fQ16MOv2ZzSvPn3YDcocz4KcZslOpTJBQKBCTHDkSuNG6R Yo1ZfFBDSnDjuqSn03gdRKOSKASZjSkZuaVuetK5B/iDkCUWgYiyKQOjLZRtopInYb/8uANKSlCV GXtoMP2qTKzMHqAGeewcKgmNMBuv0WQtLQvBuxYjESyJ4FKIpj7UZDuiEaAr2gtAyxoTMYC9SKP9 BOX6zaUQ2YDnANY/QZF11hdOliW0h9XLsN3mFITg++01GS6cMvHprBptcNOumOVrt2uYt1v4rF7D 2/oJ/G59BuftEr6sbmBGUUg5OcVqNXERHG7ICn42P6CNu1zesNmDvo0zcqwhohU/0INw9OOULixk QgloKWWjdL9KN3lWI1Vo3BOFSGsah3MpIaoSsYr64QO1BnaPm1BW8oqAJii7oHWT3yNDQ8MMp8MO LDDLSTEhqgSWDA60Me12RDqHvDKEfZB993d4vIbMqqJfHRPRup76PmLBS5bZOPZxpM8U6y0gv2id BqbCjy1zIVQFhB1dnIp71/Km/JCHEooYOZ2uV5uSqPqSsY0lcgq0iaFvFF5mTEU8EXqE7oZQ1q6+ cj7fJDglz/oZEzThy2ftEl60b6CpH8EHOIPbxTk8ntzDi3oLJ3sNsZdsO9LBcnnHZg/zQzg4OCei taJkA3o2+gegiZYYkWroHR3IUnwnTbijOTGEJxevaKCLRWF6JOCON0MWzOmNGb8SvZv5koWvvh+O WCmE5Td/iTCNLLlNH5sUhItFiJWgK9wHkdxJb+pM6ZN7DrFX+DuFR/GIaUqf0VI8+NNtSGSxWt06 o2d3lTrWOfStTAT8haAIb/SMzZSjS0HraUtCPOTxnMZbI3tzL/3PKCnCylnXOmdUywJIAgqqSFPU LoRZ5szLLrVW61Jp1RNopky0ENLj71Po4Gn3Afa2S7irD+B9dwBNvYIDJFjTGWy7sAFws963LZk9 IJuIcoDF8nYcgsoRrej70u2rBLfKgDEVzBcIvtZ6lTLhqnDOafsC59WiqH/sJhQZEVerdqBCV1bI rN+NuqFlMUYzGO3t3IFx7Yj2K65TavDUL0Ez4fGKtMaBHWTE4sdamvdMiRGhng8V5JGIkRAn7bPI GjrUTkqgQO/C4qCp9TnVk9QnrNczGpyHxWQgHVyVYfkiUxsoRGUwdfk++ZhtpqGMBEKCFYT3vSwh CcfRz+Zm2hkCvOr8NCl/m7mZbIXJZ/4CbW9bGkOrjBxZbkGOm5hslQSNmPEZs+5U0HT3cNTew7q7 hMl6Cu3mBA294EN3BHebDo6rFRxi+Jp2C0sSwG9JroU1o6xrl2LRsR+fLVrepTeI3+uxDK0ov9Ix 5E24Yv5OFj/clqH90C7Ooxg86jZ5TGFTxpo5i8l6AgeKhYE7KFr2kxL0subN6xCRfZ6oqBBV8raC R/kuYQgZEbaTSh8zLTlByihUlzkMJKpQTr5oXhBia3FwOQkIiMiJIw+4WXD+rTnzkgTVVKmW3dpi JfNvo5wU5qayyTBkj43xJlB1uAEYLqJnj0RLpqBYRD5SojnQkd5ncuNpRp/swbZ58cjfrwUKP4Pv Ujx4B20ZbbEgEqvF23OG2VzbDuZkX7OCdjOFKQX1q+FyU8NFNYezegWPm3uYo+CyZRuc/f1jjvWs bbUGUJYdWk5IXxyfIhhaMO1/SxpSgv7EgH54UjVBGjyemUPc6dtaXUR9h10MB6senzXvxJyYRYR3 vP2eIlRKjp4Q+bRfHWkHZV45bC5qB/N9ljp04QzlEokg1tDR02QB3sJ6s2SFD40VuQLMNyBOv1rz lyoecoLvaCpyPS4Q3LHOzCAaXmVqM7SbIpmZRqhxtfGYCqYw/LuB6PluhnH0HqyBzps6mwRBjCRQ xfZFAO+V54y0KIeFS9VTEQwTi20O2I+ZpCco+EJH6ApjxC/huF3BRXcI7yZ7lEbsWXNHTtXkR9Ye kOnDYnH3cZ3uEUgnj2ZYHycMi80DtGZGUIt/URFNdemWUHnyS+5hD2O0T13G8Ld3dziULITI2r7Z DVyct8DoeA7Q91E+Z46yqn+Cca+c/AovPPJ8oIspbFBGPB3tJ9xfs+ksIkxityXKBCRA6w0694aA c5qt4265HUuazfylJmN0vENhPXIzy3951C5f5qmwnc4IyVUyl2YN1PSW0VZUt2LLDdH0F5O+EKI4 YP1jTvr/gJKKOCS8TI8F9SARSyYmZMPQdiUS3pXPFm4m3oDYNkdhwNvQ3R8dwF5TUWLWyWoJ190R XE2OYQuH8GRSk1M12mshaziZLEMIGj9D42YzsiQf9YZl8/RmKbRZYAGEkPkvbGRT7didYwcVC+C3 lFpHj10krG4MtbLrGtoxPxaGpp+KzeI6ePXtazLw/PSzT2A25eiUismGu7s7WK9WcHp26gibyIKY HeTbHMUHmASFba9w37x69R2sVxhaew7ffPMt/Pmf/zn8zd/8f/Dv/t1fhcB+HWZYWbtAj4E4UfRL a0cm8DeneZWBZc+Awik9NlKRHVthPoueA3FzoDlqXW+MinuIlel91B+lLMq9by0HBstDwc/AOxSt IdLaqA7mRA76ucj0QQkrKpFboUyLVNpaXiOHp44Fku6yYvX1ljSFh/MZVO0dTLdXFCrrBk5g02Es eYAnFaKsPTJ7QFmWdwoeT692LJmKvVYoTFC04XK2Uuz+Zr/KNBegkmhf/XwbwbGnReo2FrtNWVtB Tj67jF5rZbcl6vIy22pdjTXRCized999B4vFAp4+ewKz2Qz+8Idv4PT0BBbLBayWa3j37h18++23 8Jd/+Zfw5Mkj+Pu//x3ZMv3qn/8FfP/mB3jz5gd49OgRLJf38Oz5U+rTcrWE716/oef29/fh97// R/jyqy/h7/7uN/DrX/8avv/+e/jHf/waDg734GdffQXzPQ6lHMik2rtR8IGqaDKgOZCc1tGjEDn0 WjA+Yh9micvAu5U6a/qFIEUM44iF+b2VJmPjmgcoyD/ZecsXFV4Gb2P1C2m1w63YC2GxRJPhnDvr jsiSDqOag5S8wC64GWXl2UBdz0lLNMcQyhjsbHtL8YMu20N40x0RqXu+uoeD/SOoN1PoOuUwPUKW JUMpP+WW3xMOtYw6sQUhmICyNBEuLnaGpYvoXMKKBXZP34IiT4jMTfQtTHMqRpuhvpKP2xhL6uju 8oRSP8/9Xa1WsFwu3ZoD/OY3v4GX/+wlfHh/Aev1mhDW69dv4OXLl/Cb3/wIf/u3/5lQ+cHhIfzm v/0WlssF/OpXv4K3b9/CYnEPl5dXsL+/Bzc3N5Qabj6fkQIGkRT+e39/C//xP/4/5M/69u0P8B/+ w/8Nz58/ixUdEXIaIApy2LViJBq4/VOIVo/genT2pB1KxUbQxcoK9loDHQy8Zd8k7c7U7NC2+soa joa+SZwe3nTa0C8c3Bh2esSUgc70PdKttoYtetUL0XK2JRrFCbDF38URmoPdo1yig0ndQr29gXU7 gevuEF5tjmG2vIDpdEPPks8V5jPzspMRREvnQrTW75k9kF0X2cnOAtqbZfXBqGSeTCPRD5kxiNmI PkjuUStzINmHZ4PUzWkNXS07oNBarqTC14CSq4yR6YcPF/DibgEXF5eUNfzg4BCePn0KT58+g7/+ 67+Gvb19ODk5hvu7BRwfH8PR0SHc3d3C+fkZ/PGP38DXX/8B/sW/+OeEEK+uLuHs7CRig5H9/Ju/ +Vv4q7/6P6kNHvOO58jscW+uYGhLLw0wskSZ9z4Nmr2ErLGk79OIYtuKttouE0IvDsjoHsr25crA fpPChqNGpsKijFQLkfMTo8/aHcQ0TDc3WrvTBmrp//AZDqER4n5Lu6SlqTjyKEcZxRhZW5JvHUAH j7sbWLQzWMIUvt8cwuFyAacHbAlP7M6ut0n2thJ6ZQ66kUNQ/4PXiSeSObsrvZFEQzZWDS1z7P+O eD9P8SPNXZRQxJhVRDIcN25mKRzEHkQIvlOmj9wHNBWYTmfw5vJ7+N3vfg9ffPkFNNMpvH//Hi4u LuDJkyeElrBcXV3D+fk5IdVnz57CZ599Sqzgf/kv/xVevfo7+PW/+ddErBBVnZ6eQl1f836YTEiO hQJ2ZA/x8xdffE6E68/+7JdweIAhu3sIhvzmp9KgS5kaQqkmaohA2moAfSbrpevIiBDUb/77IQLT xacztFWgAGPYTX3hycX9UxCtMQSz62mDwsv4tQo1ycbP+jsJikDrBRJimvaS9Oj8PgrWiUHcOq1M 4iysCEUX3HTQoI9scNDTve7gpF7BzfYK3leP4EO7B+9WK9ifbckqGkNu+LC5JVMDGXsJfWW0X55o qU3k2S0l89FyjTDXY660zDNRDLq84LdkWaA6HoRZmZ2gAZyV8ZS6pSUEsk84FIzE2edKP/nkU/ju uzfwu9/9IxwcHMHLn/2MWLW9vTm8ePGMiM/1zTVcXV3AL3/5J/Cf/tP/C9fXyO7N4PXrr2kP/PKX fwqPzs/hn/38JXz51Rfw6aefwIcPe3ByegJnZ2fw8uXP4PDwgN5HOdn/8W9/DX/33/47zGbTKNBh H4urjSjLbH3+VMa2eFJhGUkNzan/mFN+2b3UmYUystPoPRW33dc/gGhiIj9I5cYTnocW926Dd8ck UVm7NpXTqyAl6UvOf87/rR1uvbEf+l45YrTZsm8eGheK9FNfbI4txM2LyMnnnqPwHB2cd5cYxxTu YA6vN4dwsryDJwczInAcB36Y5PcugV1wjbDMYkf0QPvu9LhMjOmfmg3T7+AmU9YoKeGr2nNxerHR TXoipNlHSWbAZikSxwntnDge/y9+8Qt4+fKrkDzTaepCfQCfffaJNAD//t//X7C3d0yhhb788mdw f49Iir0ifvWXf+Gp5NnZqe/oixfPqa5/9a/+Jcm//vSXfwI//8XP6dm8bVzms7FGjy4niyDdC75m tc95DxhlRSZ2mJbh7oKwSxdfV4xk68IYjSUmPfXJfflgdDSmFJCa5VYatCafUyhofgOdlfn2TAmT lg/ZyfayKQ8hU8afojp0E+hqJ4j3sduFJQm3gaiy0fCPWSh+glw2ug08gitYwBNYdxP4YVXD/nQD hw1GpnS56pSwXPch2J4MOEO7WaySza3nNiX0I2T9ob4cmtHf5RCuH0o1HIQw8Kr+QEVWyortDwPg y0VQN90/6E8XxQ7nOE6yTj7llnNOFgtxu/Fzgn5pFy8mdL1i2yu8zySMTFBqRPNk5kT2KZnIoHV8 ZPIRHk8u2V3kOr2sVp7lzD7vUbmcJ/3TCMKkAIUQTJZIOPmE26B+zS2g8B/knzSdXYQe7Vy5fyMU qufxoVIZVbcm9lqu13xYb2GxZNePpgJ4stfAHhpxOjkHEZkJ1yK+fVr2FKye9WCFz1fGZo4oEcqa dNBtnIGeQ1l6IomYuawodcPCd7ptvXYO4Ly7hvf1Kdx1M/hxuw9Hi1vYP2Ih/dZlp+6fHIOaVIm2 GMXOjuVZ+ncW2scscLKYSeUuLEtOTqE2kX1fhMCJ71qu+FuRVjFGhXSxSESGQDQ4CiY6n6MvHYck xvlkUxOO2yTZfSkulfIyELMIP0bNofRoTsWYWIgVlvX6Pok2my/KyFULzKUPmb7Y1/Pfm3VJpjoE 5MsZ2RYvJC1jtAjOGmXq9UpkcFWs+bVjUksRu/yMGHvuuTHsY09opZ2KIVb0lVqP5ot9tB3lA7Tp AN4strBqO3g8n8DJtKYIiXRkceCUkzDY6/gqzUAouaWYNsRckmMnMH7WJI4mqqk93RQtbDcbmDZz Yg21bAqJK/72fH4D33RnhLI+bBo4W2/heMrhPoiNzN1WslGchlAQo771hDwJMabvfKqqmMCJlpRZ Hq4/ajWibrobw867Wbsff0gyt7q6NLLadfe7uKsgKye5/kJGGo6owcQJUZOkWyuwSt4ILFP61GmC eFCWiZelSz+PBT0ZpLvizTdU3NRHooXi9Jofx5hzxC+HpxNDU9cZudxDC1ZiW3C56iMKYJyWsXqX +m6s6ULJHiuHskp9YiSvrO0TV6yfpmh3ItcwNLgx5WAiwvp0DztQw4dNC6/utnA+m8DpdMLQ0vkJ yqA5ekO64Dx3AY3psdA73m1C+wG6fxwxJJcMkmG05KTKhECuD860c1Ldwnk9h/ftAVy3M7hZ3cLx dEqyLJ/IwsvR8sy8v/stK6hjgEsMLs1mGJjtNUdpzTEf7olaHiWVvs8Vr3JXbhQhKS5fGjgXYh4i hInZuRAnHEP46HC8YhcnhDsak6cM6tvIzD2Mw01OORSOSykl+QbxC0RwhKaTNSnMgF6T0uMjWK5C 96JvYrMQQdhdcgYiLW6CrnTkVsOyldBUTt7V6b+l1cDu5uy8dK90O0P7zZ5vbcgcre2YbZsTg2R+ j8LqqD8bsXwOmj3u0HlTwfGkgsttB4t2A49mE5hKtuVIZsDZPehdZWQXiJYc8NCysCLB3CH2gROU hUaBZPWOnvsuiBs3xemS0O/waXMD910Dt90cLjcNHK82cDRDtfoeRXfoNXNwlDReSPlgkJLfayZD tOw1YrNyigiz7SO7L3lCbXrtHlIUlzg05+YY5TYcEiUQJ3L89exciBN+u7mDxXoDi20L8xrgSOJ1 WFstdUis9XY0MrNhfWQJV6c/qAWrf+w3eivI4+iMrPKuqkf1Qdb1BfmNRq292tkMuvIDimnxqEMY IU/3jq4qInXetzGcNdvnaKzG3q0r5B1Ipja5UOMHxit+8kUu4XyUkp556/ttqJBZg6fGITZT5SMp 1HDeANxtO/iw2sJRA3DYMOHwHY8OuSNaCqL6m1J8V5XGifwNKdOOXOihA55okc1N63MWBqExs2F7 1RZe1FfwbXsGl+0UTtdrOGiQyE3ppqY8h8nAByB0JruKIKROmWREhEaP1e8zRbxshQr1ZRGICvtL Y3X/qzP6amdfH47Xx2/CECmMWG42W7jddLBsOzie1nA4qWDekGTLyEJirYGMMbmtXZ+8oa37zZsS JAQ2c4pdEULLz7UUmcHL+Qo7W/Z8dClKGniMDuKCD0aeFe7FhP0T+ysxat4xGa+IBGj8Bl9Jv9RE JDLJmF6W2TBdOnW7y57LiQ882v4Y28QCcSubBZl/c5fuR7CODVodSwhbDrrHUgNGT5jwsaZb+L6t 4HK9hetNC+ezGqbu5qyi+FDqxjOdos3stTiOKChkl3D8jqiwahtNFmaOzWtDCGaKJw8UweGkW8BF dwB32xpWmzXszTBv4pwiQSaTGy2gOUUZAbx/Oid28vs+sH9hg8QKiaIa2mov3XeEljAUr4sRThpT hzTFqReF33jIRR64bvFy2cA9XgSuP/NJBYfNBA6bCmZ1BVNJ8vCRGzmaBoUsU3uhlD2hp+qaDEwF AXAUDhcCOcNmeRMbRVgFpVAdRHRi1qrPQNN1UKGesklDsSTVarWMbqWARAarz6AuV+KLUhFkzXq6 krkrigh+VMkhpb56sh0Y8ZspDVolo88f+cQhgXAECD93LbovM2txMKnIynTZAVyuWjhqatifuJvF uYlwn8NGitgHFwAN5WMS+kNYrDBwBZXdNyxXaekWxmeln+gcLSmSMF3YAdzDVTeH99s92F/dwfPJ xrNHIqfbZbKkS15VLEUfSBtbqLIJEfKsSXiHn+CIl2zHxLZNjJjkMpBDR4jRJeugNaIwvU4W1XWw 6ABuN0AE6gwFkm7MSKBmWD95Sg3YGFlzkNz82O8U5JH0XNYeyT+n2sM1RLeqgK6W7llXoZchhsuU 0tP7ZKPu94iNk5PrEkRY5KEInV9Dk3xjFwE2JzMyfGQhcGOYi9x3rUhQegAAAjJJREFU6TwPYb3O 9zMXRUGAgzuXejm014Mj0toLIt9Ypo9hC5cJjkZa9nJXl0Uy1sK5dCGS8bDgm6wp2m75BsfDgTH0 OTpjRQRq2jGLeLdp6cbHGxs1BmL17m9CH5khTB6SNdIgOvgVLOVd79zfohmSmxcPJSZtxX6uN/f0 23Q6hSVM4MOKDzQG9quqJdy1h/B+O4PDzRpOJwCz6RwWPnFB2b8wbOCY3Q1/xwS5L5S0Z3sNJPOR Lp2RJSfSxO/Cqnr0RFb7bNPEc4bzx0QqICyONbZpARZdRWnWkOXbw3XS2WlKRqYJ4VK7xLJ3OZbW 1CVoR37XMjB7I+PY8bKUfHwiY/NtCeB0h4ouUDGr0XPrAZzIsFJ04UUR0RxYniWjVs2giAhJu3GS fSCJKDy9imbU27/5ucythf0YvgjyLMg8m7KCSdU6FFHBFm6QUGX6WPyuULwL35gAAbk+iGtODK3r SBuIG0UC8NELFcDeBOBijZEZySnQV6phe2jLRCIwGqUgp9FfhplggMNQHweJhxjvcNzoq7aCK7TF oP610E22dKkuuwksXdxtSrc0MnzsDsi0h23IYWUuQqhEbiOxw7GEFOwc/0k0eNwvdGqqvf+hCG2l FSTwK0yJVdVEsIpdln5nxqHlVbmNX9ReChii2zy9JWlO/RaJ3ZckKw9dUs7gNFe0x4UnPjsUa1Kw 48vZ5bTuLtk+79xUmn1m51LFF6pGNT+lCOCji7Ag/qJx3w908f8HwB2sMHGXQRUAAAAASUVORK5C YII=