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_STORMLATERALS_Line Haldimand County Infrastructure Line Storm Lateral A storm lateral is a pipe that conveys stormwater from a localized collection point, such as a catch basin, roof lead, or private property drain, to a larger storm sewer main. Storm laterals operate under gravity flow and are typically smaller in diameter than main lines. They provide efficient drainage for streets, sidewalks, and properties, helping to prevent flooding and manage surface water within the municipal stormwater system. 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 xAAADsQBlSsOGwAAIABJREFUeJysvemSJNl1JnZ8iz0zK2vrBY2dACmComQj/ZDMpGfRA+o5JJnp l2xsOCRnCIAAGt3o7qquqlwjwjfZd5Z7z73uEVlNjgNdmRnhfv2uZ/nOVt/efj8WRUlFMRIVRMMw EI34P/9DVBT4mMYRf4z0OBBfZYHbC8LHPREtqpIWJf4eaRwG6oaROiKqypKaUtqQ50ptC9dIfd/y T34XDTT0aA3vlX+KAl+V8hzaqxt5rz6Pvo/jQMd+oMd+pE1dUVMVhOGgDfSlQCNU0DDifrQpvbF+ 6J/2Uvl8HGTsRRn6is/tfZinssS8yXjQpn0vgxnpeGypO7a03qytaR1TkbQpfbD3SJ/xMd/Ht8r8 dF1Hfd/z53h/UZa0XCyo63v68suv6Zu/fEN/+5u/ocvLHT8fL/8HryYN/BFWuaAPx47nty5GqstS 5okKHt+C5xJrKmMKfbK9oUORcRTTd6LrPBgdDz8m+wb/xO9k3vge239Dr/txCH1erS/p8HjD95fN QtrCPWHtiH772z9wuxcXF7RaL7iN7XZLq9XCzbufnzgG3i+8rn4s8xfafbi/p91uy88Qyd6Yu3hY Y/w5/V4m1b4L99uShT7SyTnmKS0Kqmb6Lh/l65Oeg/k+pd/3w0gHne8KRID3PFE7jHzOF2V6vg+D rltV8X6StZSxzs0x9hmvJ/YEz2nsC9qt+6Gj5WJD/dDyJpU7ZcPai2VvynebGsQC38sEHLs+DB33 Y7O3+KmtgXDh+1WFzspmDMQIg64X1LfHOPlKJPzCj9i4hfw9dBhIhX+oDAMueLKOvfUrXSk9W3To RurHgZqqpLosSKbDOhSf1OnMFtYWTya8LKqwmNYN2XO2y4j6DiQ73wx+o/g36rdjRsR4T4xUlAXV TUNVXdHQg2AKETkejnR7d0cfPtzQcrmky4td6Mtc+7b4Vfi+oE1V8ubrBjAU+WJRl7TvBzp02IS4 S0+bHizeJtOpTsYmhF/20uRmHqfMpTBMPm186OX2kcaSqCwrXn/cX4Hp9J00hT3Ak+M3tvT9xctr ao8tr9Fhf6Sbm1t6fNgzYcH8LRYNNU2dzEfouY1vupNOX47ZzH6th83mZe77uXmMH88TWHL3GNOM ZyK9jFie+vtjL+yTBoSZSM+QNNINPZ8/nK+6KPg7ECo5eyN1YARU0JIZogkRM/10dGDuqm2zDEPP m0OfUgoXCYK/TF5KuMI4EkgXCBTuQIex6UC8sBFt03a9EEZsVdwKjo73dt0h2yhREilKIx8j97Ng 6aekokJ/MWUFS1eQ5pi7BAkx9rvte+pGOZAgqjicdaEHdG5zKqEIUp5KmGEuVSKIxAVSj97D51Sk sNVqJRvWTayX7EbMTehDyl6DlJvMd0lVXVBZ4SAP1LYtPTw80vF4pJcvn8tmIMxLusNzAmbEAvet ajlwjU2D/g2J+bEbuDVswrjJdN1tSDquQcdiaxXmR9dENwqoUNI/20dzEhp/V9bCXcta9k9VM8ES Qp4SC9x/fX3Fcz/0I7VtF8aOOepVRShLMMuatpt12OcgZHirHcKPIUAV70Gb23RMXjKJf+uecqM0 YuPekLzvhAD05Henrkg843vz/ubf+wvCwfSzknp9Hj87FR5wvrB3QBd6nIcK5E4Zf6JpKBNTjSh/ r/WlhpimjDDtcCDBNqB80HI/dxSceBiYWFgHMaYDM8aCVTQW9QhSTs8Ew9akG0pa1Qsqq5r67uiI Q1zasLymgvDLO+o7iO+VSCLa5r7vWXqQbQnpQERXfI0+QcXBhEFUxfdL3e9RUjKVx7hXFG8jRzMi 5jlcNj8DDgvUwU2mVqeX56LJ5OpnKTEbk/cWVUljS3Q4tFRXNV0/u2KJC2sKSSIwoNmNnRIf3xk7 fHi6171xM1S0pJKWZR+ka9/vw1DQcaxpWY20LKC26j28uZXw2roO6UEQtQ7rF2T1GdUHxKkigiZQ NvpMH+7N2wMhAS1pFjUtVwuBKfqeCdjD/SMdDgcqWAoreJ2gapsEtl6vEpJhY/EHHf/hufRg+U7P H3ZPrGSrabsnKM8pdS25jAEqkz/1zNzn6WduL5x4Jldp7QlWB3WvQpqCiuhpQVeIRgBCJX2MTJnn YOhVFZSzeoplsFwsjZxWI1IO6A+wSGENVUxVuYMi0SeqjejUUB+PLDJCj8XeZC1xHOnYt8w9y2rQ TegXwksdaNzJskyROx4ykK12hKhakB2p4zBQXVasSkCSa3vRpyH9sQSk4xSpBJdTLQyzCupMPODT hU8X2nCYuqqm0pMtUDiUqejfdzL+qjIcZY7zRunjcDiyOsgSSN0wFoXDh3aaRSNt1VH9kWnzEl4+ DhHh7XOZkYLu+5o+DBW9akaWxMoCyGJ8uBsLuusrjICW4XUYm0q6vG5YP92cQRiVjSy4mb3b2tXx OwKO8Zl0m45FJNwpZxY1ZiwrqpuaVqsl/weVkfExEOW+p/3+QO/f39Jut6b1ahmfD4wqJwYiDSwW hoslb52RkrI9k+yp00poxEZPS1MJmZxlitM9O/1sesbnpa75PrhB8XmvIDVMvhGVsVRJHHj1OPY0 AgJSglVUzVltHASQDy9vhKz/1uHAARKVIHIKAO65qIGFXlSy3FDFjn3HnVoUgxIqawoAfUf7gWi3 WFF7vJ9VsGXiQOyc1OHOL5TMJaQt6MiMMRH1bc+iaKUGhUTfV4PBoRcDAevmpRFXHYFiR2FKZidy ij/guf1+TxtIV474nb6iqgg8qmt7urjc0XK5yAih/ZTdi/se7h9Y1QGwDzWnWS6oUkkCG6LtOloV ghvUteI+4Z2pamaj4dlR6RISKPbeRT3Ql8cFdeOSMa11KbgSgPplOfAz+wGEuKJt1fPnYYkVVA9g OxtQ9HAASmBDgu4JxSoxFyIhyl4oCYS4c1LgnPqSjiIaQ9K5xjzgPyNySxCx9YrnEcQsPuOIou4h b2BhGEVVwnT9Yx8js89uCiqze8+Jk+oJR5FthqBmnqJ4Z645IpjikE9Ld/kdp57BueqLkXFRNsKN MPII0cKa2ziEaZ0eSG14Rsk4gRCEiNCrPQ5EK4jreXeVA2T4DFQJtuQURPdtR4eupU0JtXHaBEjM MAJjaqisGlENw0YxNTBOjx+ccT/we+OCkKjwzLKqGLvau40LCg8o3KScowp02LiQGtL+CWHMpc4U y8kXSiQIVge3IFj5ZXjW9Pmu6+n+DurKkQ9QSrAyAk5E+8OBbm7uGWz/7NNP+ODhgnqNsTM4zwZP 6c841CxtyTylfQ6tGt6k6wnihGtXdvzfm25JHZV0VWE9ZfLe97JAd31N9wzcj3wvpC78ty6xSaVt MCxTkfFPD1WyB45ZUFOA+6Zql/WlqhrqelF3+WO1JE1B5kzSzb9lYhKJDt6LvQ8QfhzjekUrnTFt tdwaqYFUKKbWyfpOVdqUaJ2S0L2AMNf3YuZtcdSi4UQ2EccxaSdZ+6hBsTQ8w8SeulJ8jk4SrLoo WVVsAR/RSA1bDhvqexjd3Ik2SXyGKYlK6IYdOAT0TRVighXHNpISMfl7UBO0wx+AaUD90o7C5YBN 5gFvSAeDKaqLgR7aI10tl2wJ8hiAqU5z0kbEMGA5jFZIfAbJD0uI90NldUgQS3lYH1B7lsZGb2Ex Sq8vT3Cr2BfZ8FNT9hHEar0SM64yhCmnjxvHOPJ+f2TXhc1mTUtV5+L4o5hu3TzsD3R3d0fb7Yae P7+muhZw2u4FHgMsB5IJfjIQfTxyeyBuIGIAms9dWHt2oSgKet5AdYdrS81S1LO6o+NA9H3b0N1Q 06KUdb7tKrqlmg5jScehoG010Eqxr1fNke9rB4C0RPuhovddzVLwi/pIu6oTJpZZisUgOE6sqOm8 TiWNiWSSfT73tweiQ7MqleN/mE+sE7uruPuexojOzvTJA59iujQrTM2rk3m758UwOUf/VmLlFaN5 HM3OGla1Zsn6SFW14HXuGJYpGJg3qXXOcFHLYYK43QoApgA2MAUengKDIunkDUjngvClViwQCRAn UNOjqpPYyOcutAvpB9JAXS+p6/bZxKRWO/cN/xeIQ7Cs6QBLuDCUDAQ+duLDJBiWcGdIVEdWCUVE jQ8rd1VC7N8/2ViJ9FfQ48Mj+0Ll28uL4HMcFH2AVLXbbahpjJCYLGiHJpAu/hcqzPX1M1osm0Rd NE7LPLOqaMEEq6eulcMG4PnDh1u6vr5kCQ2qrz/8BoSbJQ5/g/BsqyMNoxhHsPmWxUiroqebvmHA HaoiCNY37ZIOg6BcN11F34+NEKqxoGUx0FGJ2WGs6L6vGKjfQopjjxUFXpVowT1BrEciXQkAP/WV Cn1PFkbn3zGjuKfO61CpFU3RPExvD3eSAy0wb7MWTnpatTuDD53r1jjTN7flZ9qz98X2kzVWa3HE yebP6cfhYE8TPca3WEKFFR0WXFj7Gyp0ffeHR+oZA6sZovHMIEpYIFrBqUtGF83TsXNpJyNonE8p HxLbI3AoK4TzphOZz6xIR6C6dbOmalzSMEAacGog47Y5wbDZT53MJhMFP6ayYK4OaauCoyR8j9RR FdbEVGwPU+E4XEosjTh4tQ0LAWlG7YLOgmUHJ1UKU7WQ2FIFIiRcIP0+qMnaG9z32Wef0NXVZTYX 6trhCKw5gkKyahYL+vD+lnG2N296lugMkF40dXAVkM0cpWu7DNaz9Ye696IEERPmAckLEhNURNwC tRCEqR0KuulrlqpAyrAvuhGuKCNtqp4qghNxuryVWoEh1cBKaAxWxgU1zXlkZoQjZw45sTiFMZ2T ioyQihNkdDQ9dZjPWe1OX3NQw4k7g8uMnbyPvaLLzKl+zst85hx9pmX3kD+LoX11+2HFDI7jRU8N iFZZ074o6QgwfiC6aMTlyV9qz7HOnjaLerN/CtZFlQnCCEQ6SGcgClAl4NnSsKUoFWvn2Ihw1p7a 4yMtFmsCLWGnUT1weNo88Z2ng7arXuyKZfkJM3F+HaxlOlaoVbrZxWk3dyMIeqEhdCKZ6QY1g0UA kNm7/cAEwDaxeXCH+TOx1W0Am9/3Hz6wVFM3YtGKgwD98v5M4AMyz7gPALKpnZFAGZmK0pm5qaD/ V88u2Yr4/t17dqyEVRHm/8vLK1osKiZsMkNCtE5szWyPxKFdVB1d1sIMGDuEFXco6bav6PuuESC/ alkKgzr+rDpSMbTUDsDYzCQwUDUWtKgbaseW8S0fSZDsW5soxzw8AB4QkhljzlmJJiNy2H+QUJdw fdCIg1POmv75ubby3+3vuWf9Vej5C32PWEcwlqXPx3lyrQQs8SRR5BeZWm7PppLqOeulm4WoZbAM Y07D0aDHQkRFtFsuWBu6bWGkG4K/nQ2SQfe00ch5UvUidXjMRsbfweu9hWMnDWz6Zh8nhzkkcpGq N3HUilGoY0LbPlJdr9jkGdaE2wGBMIcE4S7YMGbunguNEJU23eBhxMqh7N1dr06pLL665xMxfF5a xLvh3wOXBAKsyPd7UVv6N3V1ILbqweoHPKppZkzlwUQoj7VHWAEHWq2XHiMP/RTqISqUvC51zwDR guqJcJWHu0f6cHNLd3f3dESYTlnQy1fPWVWsXZjTKTeIuH/Sy0upFYhrBUvuQJfAqVidVIug/vPY lezPZ/PN1mRsUoRe4dMenFikM2/4mK5JylyTvkxnNkjB04NrTDyOD/e07ZGaZhukvRi2hJ7Z+s4R p0ho0r7+MClsTPacjiow8NkRzownvt//nKq3kSbk47ExfRzRylT1CSEHIzhQ3WDPNbRi20x8pz1d mx5ruqctXuiYgs5R+1FVMJsXIP9wz28g3rmDYcTAJItACBEvFyQnubuCNUsJRUU9HY/3DKaLxIaN UFFVG26gpEv7CzLJhihF3ANvyQ5qfrFaiPgoECrE67GDa8e4FyS+aID3MYi+BSPGYumEA6dZ4iJ3 ivcGupMtMhw+8RmwKPbBSlrPhHN4Dnc9dX1Hdb0Nu8FjFjazjPXYOigB9dwS6uvF1Y4B5IfHR7r5 cEsPDw+sMi6XR1qvFyzFAVOT2MkZyTjBR2bU9cByRJ1cwd/O3WbWrQ1LldHCZmvbdq0YToaBdgrc niJW0cdtRlp+4jrvmxTvsbkwViZ+fMosFbawuNWUOJ16z8erpKeuCTAz20a6f4XYzI35h1059jZ9 ddz0ZnGNn0chgC3l7Z6ttpvFMgoX5mBasEroybVhRO64eO9yU72izBMmRzxbof7p50Y0TGQPAJoS KAV4bbKwaZflSHs2hVuYiLwbGxUhPnBKLIZ9IINQEWB5eIRMNgKjqmi1WLJEEIbh9JR4oOOiwFMf pI+B9wJe9yB8IFlpP6wNbhLOrWZg0MMGLtsrEYnT41mZU1uzhev7kV0UINEkVjsvsruzz6qJWlXS jRNjtAJj0OdNmjxJuJuKLpsdXey29Pi4Z4J4e3vHVsiyKlnyu9jtqGng6+aDwk9dOaGYcrk5icNL NBwSVDd0PD4Gqy/jkFCbM9UpYbLJO/37Th3Gc4c0te7CbwiGi+Uyvi+8m106ajZu2Nn5mPefM8R8 zFXMaC9PPvMR78pdFUzj8kzC9mZytGaMAOEJs7ZCGp3wkqiJtYcHFk6qBlEKcDAVaKJOrQ1y8ARL kgNhnNm+TwcqbxQvZXhCOT09jjI/VsnT3gEOz2+KkXpYC/gsi9QE4A2fI4YQGJdvC08ztFsWhCjF +8OeFs2CVuZ0qBKivHY+kh5ED4QrEBL2PwLYazFO1m+TDMxXSXE3lspGjl3DwYekZQsc5i5IeZ7Y y094WcOlYbvZsGtCNEe7TeOkCqgkeCfjTEqUg0CvGFucIuNOPuuEs/DmIn5Z0Ga75lfWdclxije3 9/Tdt2+5LQD2eGazXkkc3RnpNf88VyWiOpQ95UFxvRlMa1ubtXegi4VXVWVODReJ704lCq/W5H20 OTmnnolla9A5kLmMEoLsU3YHgkMp8FLVRmTqI3F76vKE0EucJ69IDc6sRfzOn/ezAF72TE4HArHS tYrkxrVp5zvIo2r9VZejeJYMcVUpVQ0tEBzWiwUN3dFhWIkqoZuEIyomO8kNQMHUEeoULDxwCvWS gGwob7lI5sfHUQVJQogknMq2vMjm55Tq0OH9ir8rCs3gPgjNfddSMfZsyrfg1N5CfsJGC3/En+x4 VvK9fbvneEWLOJcgbVH1YGZn/yRlJZIORqPROYUJAj2RssWshTHMZiqZILzmQLc3t7TbbhT/UidX Dl0Q50bh4vIEODyYhHhlRwuV0GYvik0JtOE7uaUsVV0Gpu2b7Ya2uy29fPWCvv76G5YA4Qpxf/9A z55dstQFDCwxEDja7Pa3tZzd5RVfTzzj37DiYg/ASf/uKP5k+36kRS9B2aJmwMobDSE2x3G/Zft4 hnB5gHoekxHGDILF8aF2dw7iO5cLyUogESRhngE4dDImW9f4/hmi4n4fs07F+VLCFuIx08uYgm9H oJKPk+iClJ9MoS2uvSM6bvvxePjIwtG0t4YxaQNijWaa0LX8HU7UQwcr8oGaGmmUWsOwjFWlyNMU fFN1JIiCcMqUmLKapY9sUEHCKU4QrZzS2yHSgH7A9xzvFTdYVCH8wkYLDkdQwIJWLiTImo0AInWE XFYmpWk7hs3A4XPP6Usk3ITVEjvYQxeInryyIqoWDBDy+4eR7h8e6Nn6Kswfi7IQY0NIzHRTit6u zqJLRETKzIFY3d8/8k+oiTiosslL3vDcNybG0w1qBzfN/2VEQA4zz1XOOePCxU2m38F9AvcyPlcW 9Pb7dxzK8uLFMzl4PIf2bJRAT2z/7CBkB1I3Nbzb2+7AfmSXTUEj0muA41aIGyV67AEVSFTFswWb NKhSJhGzUWTAt+ui35SZ8jYzr7IXJQxqLoLBT543XIlXvGUJwe/vvn9P6/WamRs87FN1NmUg5ySy MceeMmLlmdL5Z6eXl3xnJSf32vCVOveGzx3AbzG5HgJiJgBmj/kxjYi1JRiseonEUxPbsT3Sommo Ng/wdP3yuEH5DGJ5p3gVEwO4LIBYZUJDwtVmxuipfbhTB7I/HCUlCJLHNRVvVnB0BBLjgPIBR2Av sJQgbQl3xWbiRHR1RUcQpmbJJnEQHUlC1+pBqB3xG1j0BKjPOBxbOI36e2nS+6vgb8QpHmjfdrRd rqgcRtpd7HjyISXBACG2BRA659jKD+OAi88W3g+LnKlxljzv4WGvwbUNEzTMgRBejJvYkz5wMC/J qrQsh9IsvZbKI8MjnEOsSRXCeRF7CELvQAnt+2aDkKHXas2smVgdD8igIMTM1mj+oMU9Fd7lzo29 yQKh44DsIAvD4XxmI7JClPTdAZJ0wTFqMvdC0GC4iap1LkVOiWTe21wtZ0kXzrO7aB3Mcdz0+ch8 za8Ne7BvkRIIzrv37Lx7ebVjwmXrH9XB05a3Yo7JoCsaKpRLZ7l6ObX0pb5Y89/HOZkjdudktbDH kk+dH6ez6vJ7cD5HCASgVD3dt8jAAobYU317OLJ1hlPD6PORukrHmLPgv76jcoBpWkDtMBHRCJiT vonYH77xsqJOCvxb3r37QPcPj+zUCDzn888/pX/6p3/hAwqihfgt3MdpQxZLCe5dLTnz5nffveVw FHiLf/bpa95g9724+iO2TnI6QT3skgmEagdOjd8WicNmVLXmFqgaeybiHx476h/39OLFK+q6o8SY 8UaFNNJpFIFtcIQFQRYwtSVaSuM8wBet5Y0MwmD9gNsD4gzRBrIEwK1BYsii2sEbH2sZVGmXzkUZ iSxTxLT8GE1STYN6PRtF8HDJOacCdjEOnCCPkwrWAvxbhoggZQTVwa/9mILvQQqMsYKcUsYJpv4w Yh5frzTVjoYQ3XdDMMDk+07eY8HVcew2xIRPZwIFkjHu94+0u7hw6mucM6+pnCY0JdVNQc9fPKPb WxCsB85gsttuGTfEfjf48XQbFOZ1uj9TTNL/7olWfvl7puPx92VzFoxB07PssbeUSJ6Q1AIBCQvN NOmZ+EbR7bGj22NP9ZZaejgMVNQ1reuSCk625xJqIc0pVJABUf8Iko4C/UR/P4vhpaBjwKxUlza1 DZ7e4LCQoNgze7GgH//4c7q/v2cCBU4ODoVewMnxsJcQnu12TU3zKXVdKwn6+p7WYx98wY7dSB2n a4ZOrP1Rbt6KjksL7lQx4QB2yCBNRBFbCDwsm4e+pfuhpbcPt+yxu6obGqsNt9+AYI0HlsgY/2Ji hQMpmTNDdtUQijLyWEGQTYqyBa7qknYLySiKAHHpg/gB2f/s4NlnuBbNivV/cV8RfTukFMw4Kaxg RsvmAeiUmQlBqkTyGHq2MOKZRuMPJS+XT9tjbc/vkUQKtHVg+qppoZ3FF79iTUC4LZQUVl64qABz tLRGXto5JQtMiI+XB3WPmne7V23C916SSPVNJ1HKM8xgl0tqLy9Ycv7yyz/T5eUlvXj5nKVWUf/z 8+XytWUzZIYXZl8JFjklXH6M/p7pfEzb8eONWlhMlCndi1K0d5MyASGVszQjbdDIZlR4/X0HjQpY Mg4s4r9gKn44is9TVNFEDMahh9on5zSa2s3MKa9LnfnywXtALjzmFwSbD1jF5QXH4Xl460effxqe g/SFtLfYvODyZXk9mWz/LL8bhAthIH1JjwOUPgX4FKRGiAjnmlR/NJuoKYBoCxOPEr+ja+n5FkkI O3hjsUT1dVvSXd/Q65ro9WZDQ/ugaTRAuMwiCXBbJAnrMCQrw7SwacPCauCtZWQUCcg2jHxbjiVb KtnWolKH5Lt/VMuvHlqNRshTo8i4Ian0TADCWmlitdlN6/4G9rDZQmWSWDsEZ8NniXEa+E+xuigz 6M+A/z0YEcyhN3i3G/4WpbNAwBxn5oxc3hjj9wEPIc0UO3fNAcx4D8d38oTMxyZOnzdJwxObiG1B goY2ADyLNYqqou/fvmeChTPA2TrO6FrjRxAe/90pInTOMuq/n95nn7H5KcFK5R1ZP1x7U+lazmKU wJMn5HeuO6CTB0/kbQmzrUgCNigDpGXPOg4ZR6Ogpe+k06WzAdpm9ZxMLsnRboB4Kq3Fhfn97/9I 93f3dPXsiq6uLtSqFs7tzLORgtXUs3FAPJLFhKo8OOXsE+tRPCQef7NMiZAq6sWOpRPWYIaePq/e 0VCM9Dgu6Nv7Fb3abNmHjH24ONASbhCwrErsHh/ytqP3b2+5cAI2c5AMWKUT/AqHFOC/rFsMFQqb ClkyuEAGOoKg7lry9QOwtxQ7bHkTVcvndBJ1UCxYUayf8SeySXZc0M6j9Kfg9DgLhFm0Hc+PfYYn zHJrz6bES/7gXO6GAQXJRQhwIAABA/PFG4SYcFZWTRDp917ULz/+wnxBkpeAdFk7YzypRDVVuVJL XpzBuK9QWGMRimXgfkQcgMgDi4URIb3GpG33h4RveYHgI69Tklj+/RzRClqIY0JPGR9Tgp5/Fj6J AkKo88CO3rbAshGAQwCjsGyMU2pn73LiaBbOe7qnsY9TUDYeDrPyqPQd8G98/7Of/pj9ltA/YBix P+5e12YO7sthcxZN2/QuPW/kEGahzMVc125R0NX15YTbyXkfaE17WhYd/fme6HKxZGtXMSKou2Ni gsh/vFuKJdxQ8fsLWnyyItrATdbcEpQwqQQCK6gA+gb+6l2qwgfJiZ0sEWpj0piqlsiJzpZIiZYf OW9Wr/iaJEH0ByrHJUPOCCNqro+5aA+fJXZ7gPvL4cj/QdW1FM7ZmUtUCBBaWGGDVTe5bP7RGw1E 1lztJnSlkpuN36/z6cvfjzPCkiJnFzXd0aCWOK8Joz5JFHwsZHqBkH/62Ss2uNQoDIJ1NKdfm6CP uqIk54kRrlnAPAHpTxG7cAjDM2C4ZgwxCT5dz6f7m++w+P6QPiAZE3spGmUXjCZuNrs8djB5oQ+U n+mOiYpPETRPGC0kI+rKcRIBQsM/KLw8u5IJtwOU68TmN5U5UzoZLf70Oe0cKGyc9+b2li6fQYWV D9kEsiOlAAAgAElEQVTLmW+TDSfWpZFeFrf0zZHoL/slfbZe0CUsbJymuaPH/YGlRuAY5U9revz/ iIZ7ouWveipqpVQg4pgTDhmyxMWmGqUWnrA5rWSVbiafQhh/Bx819gsSyylLWAHHiwfRDqYHeOdd TbykbQdH8mab1IX3Pdw9sCS33qyC35LPkS9tSOaLvm2TvGOzljTlVkZnRZJ1mXBdChXf7+nGNS3A fLpUwjochGAZoUqKX0yZekoYUvRmDv/yz202CEtxRC4UVRmFoc88w2/IwO4fIkmeUwmtn3OQkOCm /p3Tvp1uz+WoS5yITZqOkp3BI8HTPQUMo2gpD+Qv+ziRMwCZtmRJWEp8l08SZ4OxBrxJFRsagCpy KsEdA+2uROzgzJjiayqfpxVcMkxKOZ2oSErDVVJMAUDoYQbnOW9zt3FSYFwJmmFPShzxF6TBz4pb uuv39OXjFS32JX2+gQc/0e3NW9pdbBiz2N+NVH/SU3k90OF3BVW7kapXAw1vlzQ0BVWfiMtHECnD REsAeJB3VJ2XyHhPaLxaK5IsMpTKM/g9P4hTy1O+Ef1xTPdGrqIIcF0uhJiDOO4fD2z1hUuIGSTC exRPi6ph+u5IFE0tTTNuxr1txM4To7n6kEU2Hq2EBMiEfemUSHpGnc2V/Z5K20rUHdGyHHMR45oS VPtpsACFF6cSfjLJieQX+3KOcEzXLf1entXapZZEMXGhOKfapdecEUfmNCXwczggq4RzN0UCIT89 97bv006c7aPcoz+NMMXFTpMDGlcLUoOrpIELITtXi1KlB/jfjPQAK2Ylh/OodAUEDfl0rHSVJ0Sz 4rFTO4OHv+f2fkJVHYMpH+boHGyM7WueMTf1O2ppW72lO9rSHx+2tDru6XK1oeVixe8+/GtJ9EjU fDpS8+uehlui/vuSxrc1jbuRyleGMcaxWJwmj8fKhlmu9JA/31f8sSIAKOAhTnsR3J67/Ib0q+kl K9s7uSSeEkvrBwgj/1ciI6rE58E6enl1ISosS0eQbjpq6iWrtumaGfGRgrbi5S39Qw1MuOEUFdIu 65raYc+ZlyN6UY6Oe90IJvLzC3PTsWqpOXnWkgdYG3Ogfkq8Q0uzmFE6x7jE0joGYiGpV8zp2aSR 1Lrp1yhikjTr8vD0JeP65ptv6bvvvuPnXzx/TtvdTjG+A0vQwPrgngGG9Pj4yNqQlPFDoL74VN7e 3NCr16/p4mKntnZ6QgpTocWKUCRnMRutEQ5RF881jJ+e880POqp6yYzqYYsWIeaIGsFsXbQU2iY9 4GInQS3eiiR9VxoHiYIIIujIIh0GZJRAAC2x+4JQde8gJLK34UDpAI1gRQ6NBYCbgalb+QNCdCPB DziUVgh+Xg90Od7Tm7sbetNc0127JkBXu98QFesjFZfyxuPXFZWLkTZ/3+sBHqg/HtkiV2nWgMDx wnsEoxOJxQ5KujFYdVWpxNZ9um5zuIdXZ1hs9p/ks5D4Vkl6HW/qFsswfLaYuFcF+5q17Z43P0s1 qg7AlcUkQT/Hlv+MQ+O5wGwX1MsBVlPNLCtEJWbeyCGAFD+LOGTXtnRAfCpcajyRC9YsZcBhK08Z lz0k2KDN3SnVyWs4U0GhwLt4WgbBHplxpyrmFEfygsi0/WTNJpJh+j0smX/645f0zTffcOLIFy+e s5EAc/9Xv/orfjfXd+QK3L/j+bu6uuJ1hmM3CC0I2Z/+9CX93X//d/Ty5UtFXlKHB2Ou8k1kpubd lw0qPhTLwueDjwuTgm1T7+lExXJt5ZPCC6obSvCUqLvC7eK+G2mHbAoJ0Kyez6514Ng2FsC1kMLE PUMyjkKuqINrggy0TIjSHJ/Kr4KLpM4ttp90v9nQbzlgihe1R1pWBV2sOropBvqXh4aWz0e6rBd0 UTe0QkKz34DIYVEG6ruDHMy9hB9Vz9x8+5xF+vJgxMicROUZiF4gWk9lXTiHO/jvpkC99WYWhNZ/ o0pSch6wsYbRoGAzfwN/NsbaYN7POKvuJ0tdhAPBh+KAtERH6kv4wkl/QJxZ4uLSa77Qa4755Koz /AGRLmibzV2UoOVnIINJ/xI12nTJwvL7TzNMnCZi03Ug7CP1NRJtQ0KSQLDBzNKmpg6k56QqL8Wm fSqY+PyH//A/suXX/MUgNUFaBgaLu5GmCG387d/+d8w0wWyOxwOtNKU0nK3hh7bdxtRIVr3P05VI WGMG3MCyTql5fp/kmzWsQxCrU+4bsR8z4dl9vtG4CIlUggKtSCvTjxwzhuWAiuenzyfrM/Eaz0o9 aIk1Q7tQERCYjQ0F7RFBJ0jZDKlr34vUtYm12xP1MMfVwLGhvmARYh51FfMzPDDBS/R/TECQQrks OTQDoPNqVdN6PHBq4XdtRd8eG/ryKPXZltTSZ4uW1eCy2lBVHKnYHHiT9u2BigbOtFEliBtUvOAR 0jC1xcggU7KsyM0ZfDK1rJolNMcfYvun1O94YCIT84dWLIsA5zvOj4+xtIeOFurqEdp3ewcHA1we /l+QPPuyUgYhzsH7TupQNqoyIk1NriLl4+SDdjiwn9S8NOJTI4MwxrnM59GkzTx3STof+edxX81d hTm4qjVRwuVUPUa19Axfysc39/6JMUPPr+HOsDC/fPnKBpXca3P4fAbv9GfJLu+OE9R2t4dz/A1z x6Xqp1k6/ebNpA3dpOIO4SfWUeXJrJvIlxeQcFwqEVkhURF9aAdalwXtavhzaxauyfMxo4NgNyI0 IMGvGKE1CEZxJxspsC6uaqw9Q2ZTfOullFw8tknjBPks9kZcIv5MfWziU/IT+ZJwkCA9wp/KuBSE KGS8WIw9vRjvOcPmvmgIeTBQiux39wtqqaIXTUEvFg3VY0tDJ4VDEnrBwd3mx+RUw8SDXwKDpxs6 dU04zYllfLHNlAvHtj8y8NYHKusOArxQNw1tL4BxIe93Scf9o0pSwEiiuittar90SCAed1amngvp FrRiCRv5cPOxTMeGS8rdw08tqnJxzcX5OMd9bf0nanRiXZuZ0oxon+5fvBIiEKmbvB/GajDpmdxl T0lYUYWPqpo1LypoKjV7TWLSr6ckRUu6OXN5bc9e5FIkp3dEcBCitIqgXhLLQLzJy1Cv7sMNvfnu LXcMHuwQJ3FxOAWD70SHY8tJ4lCmKvarpLYoaVchlCYCjknruU4SaaOSfq0wzcRINxUnGBRgHgUR UDzBPPiFO00lRpmSmK7keERZ885ZB+1eHpk8z2Ex1lNLdygxTSgvj5tuP9zReiXxY7bAcCdo/2NJ xz+UtPi7A61/8khUig/Thvb0SA3ddUt619V0XZf0sgFRQo5W81MyuVoJbyLV2hJ7IuulYm/4mEvp Ew/mVK1IMcnpgTytYgd1ylts3XPChaXwadsV1B6PdHd/z0T/8kpUEPzHIVlIc4Qag1WjiRnDyLgt BEhz/UMXQRDnIdlJ/B18oUpeZ8VUneTk59FSJLMBQSsz2bxFzM7GafOXBk/noLhfq3ROiwkBMGIt /Ad+elr1ClSbu+090emJiIX03dFKKWQ+tSKfWs95IpW/ywD1ufv8nPiLy3xF7pThT8bD4ijCPfKn 6QRZChn9CavPX/7yDROnb74RFQfpd+GEh2yWV5cXnKETOvDrV6/o7v6Btps1XT67os9/8QtaZyqg Dkf7G31ywuf4HwPnUhBWFimdSMz30mk2CGUJ3ycZOqbSgf29QshEGHPu96JIhoKs0jNdgIAzDJwu 43K9i576GFHX0/GPNfU3KCRSUDlADZR1WBWI5ezpilquAfiuXdNxXNBni4IaQn4ssZbpizTbAlQl CYeRfF3Sx3hYrM9z6lq6eRKIIBTPlQ9yqUxHk32eA8vZnDkJPYLW5tmOv2BlEiMDVEZOptf3XCn7 8uJSQ39KWlQGjttmjzoLsMxlcDBOiZWXfBhngftMBwk4Mkt+Tq2RcRzyHptnuTeqOum+NUnSz71n AHGfTfEsP19+LfJ3KPNDe+F4Tl2HYru2/lNp2avfZtg4d52X2k7gZ4mAMEdUPbNEfv+gs6Yb0zqq ClNUWOc6F4hYan1BFDryKOGC6gPp5Hi5Y0wAhIL9jvaPnHEBgc0waeOZmj2KE7kg6VPsr99kJnRZ FRsb/PQwSAky6WutEtddJ9VPYAbnRIRKaExRYRylbaW6zGI1kwIlm+hwGETKY78vWLmQQeLuXnL7 AMsybOwoNRm3/7sUEgUQhxQbwqHRhqxDVfR0WSI2sqfbYUnfHBt6tYC607ObgkmKjF9pjiGTZkHI zGDh1VajvTlmN1Vt/P6w/Ebx77g9UiA7JVZxXUR9sVjKU64GcnGmz2bFADp76lfSt90WweAj3d3e 0WotEmuU2FJChDQ0+BtZSyUwWtcuS3fE7+NSUwPVS1TTtk3m+2WpgU3tkj561TCXDnKp9KlrTuoq XL/n8Lf0d6kWDA2Jdyj+QWoo7MkkP39KLCYqHfP/+MwcBvZxY5mR3E7k6wrvzvYN9BEnWfkbz7w9 VPbKFyUF7HY7IU52awTuLD5KsgOYJCR4S0UdVMLk/dPFD42GN8tCmKUvTqxXgabiLBw6VyqNwXcL 7wUYb0nvYVmEGwSaAkGrV4vQX7NkpuK6jcXYm/k9SZZSfM+FVuFvpMHA8LV6938uqNyVtPnfDlS/ HGn4UFN/P1K5GahoYNAraThCpRypbEZaFy0X/NiPDb07IJEgktyhRD2LaoK/OJ+3UOI9VKGOGycS /fKEqT/7aXLZrBo4hQkSIpetmFLSRMKIzzlsK4Dk5qsnHEp8ueAxv2Vmsu8Qt1hy+h0LMrdrXZWs FsK9BZbIuGxTiY+znHL4kJd8sv4F6TDu7ZQ5WvO59BLz+cc+zt2fz38xM6f23Rm129pkfzWNDOfK 7lELiG3lxEqY3any8fME7An6cfaa7h+vhnPwcz4B4UFNeWxTMQ8GTrmAXUimhqyR+eU1TM7trAvW DajCLEVPt8ncz+nD7ltT55wpPZM642KGdQ2yUxgXV+vRTSfuD+LWhragIiBP1aqJmFNQi0I/TOSW whY6i3ww4VOE7+BsCikAh8HG0H5V0OGfKxrbkpa/6qhc91Q0I5WLgQauLVrSw/+1oOMfKlr8uKf6 s44Wf9VSVfa05iK1PT32S/qyXzF+salquqoHWrMUImXR7DAl+d7d/CXEyhHgHFieX434kCcy0+/j oZoYc+ZUQrOsqV8VwHfEFhpTCoYcFHNtJCsruzDAraHrOMUQ1EjL+AqaB/D9ERktULE6qOP5OEeW +iXvmscq0/6lUmXEkiziYIqPpdqMWVoTpe7EGZOUT+P8zDtiNadOJvdaAVjDj9hfrdfKRVNJKOBj sVRRQkDnjSrT9+Yqt/0Mz2fO4zlWZ+9kd6ScUzIhyQlGIkWklo6T1NTUQy9+8w/ZiBYziE/hXoDv IbZzerviqU2fYh/Cp9UbWLKth/GI+uHenx0ozxFMVTAwFVYlth+ihNkiJqUzLChxDuBVTIOR5QGr mYggZ1THQYbJmB6m+YLo+f9xoP1/KajY9VQgKR3MhjhY5mAGOgDm2BMd/ktD+39oaPlXHa3+/siE q6EDLWmgQ0fU9g19O1RMsF4uMCa4iEigM4eaZPOQgupxAyV/n7kESgmKeIpzBbUmtjO7yV1rYSOH vP/yDayqKDDS9Yek75bE0MzkSxSoUDcHSPBHqJFwc6gqBuNRks6/L/bJ9pQE1tdW5OMEkZ1KqpkE GSy09neUaANBCHNyen5zxji9nvg26afcbxIqzoqFqLFplQUIhQ2s3mKSvcMxrh8oRuVSotd+TILK x+PfKyphMrB4v2ELNrC4If0Bf6LDOdHR2+G4eYBICmKAXFuoPQdfq/5IY40kMEQFc0XizAyQSJDQ Dx2ywgxcuy9TI3gzqAMEg+9JLqK4QXT7neac7MslCDw29x6pd+F2kOWPSkHEFONLuIdyNXwGKU2q 3UQ1vNwSLX89UPVpRwVyk3M80Ujt1xVLVQjNKdYDbf7nI5U7osM/1nT8qqbybwaivmI1EVhcA4kL Ftiio8PQ0cPQ0FeHhj5bHKkuG5ZQBJw36a44ywGny3mCo07vDMsv2E4aC5i3NwEWHHf3xDSvom1Y WMTfFFbQQh4L4E9a+BRSF9YPki72G6T5OxBADt9BVWpxB1nUEkYCD23Uajw9ynQskZiZqUqD7NlR VDLlzkzoxGA1fYeTQGhKJLwqnho95jHJRJpUhuDbZQu3Fri1505rYT/syvE3Oa+noPxE7gx/IzV2 eps5AoZD7p0+48t+8OU4CrzWsX4rBkFRvBSqz4H+9be/o2fPrukR/jYF0c9+9hP6v/+f/5devnhB z19cc7HRh0d4QFchNbIUZWjp888/42yl5kQQpOQM8JWu5H/PTZJYFFEJen9E3naU0Bbri/iYqhQY tCiVDLgVv+CaTwycbKzY2ZSr3iwgZWkHmUAXVF0JZzO1rbruqekGav9cUfsvDRVNQ8u/6Wjxy5EW Pxpo+euCylUToDmzDnFSwnKkqu/obVfSV4cFfbo40ALqVI+CrV5Kjr5Xki0h9skbNT4GJI7zmboA mDpm0nzct1GqifOVGklyQgerMqflUeOKtwhGadupN+DKzYKqWkzzcASFtbZhxgivaxGAkc8ftSnZ vAFcUreDd1Dx0t854o3PTTGOxHWq+plUl/vIy9TkAdpz8+PvnyNe0/bmxmHtkmVv5b0vedS8xnDq 3R9zJX3xqmfyaT726bvqVCTLH04Hda4jUeLK75XKOtgMvHkkAYJ6rWryRrybq+XCd+s9byqI8z// +U8ZtH/z9i27+wNIRRwSLGz4G1k5QaQ+vL+hZ1fP2CUClrhUdP+YCT7FPaVe4dg0NDCXFIwNwDYs L1LP0GLa7OBINk9rk6UZ8zxHPb/tht69facVnuHeGnlMcPAzTG2Hk0S0+BQm+4LKq5EWvyho8YXg FuXashtkBFirkqyrgZ5TS2/aBX11XNJP1pLzyhZM0g7HdYsSS7TgpID7x25Wz5GjhGBcPVAu3Qfh qcRQkqY2Dhsc6W+aFccbRlzFq5zTw28MYNSAajwFiy+k+hLYF/BE2499z8aXzWLBBVcOvcSoclYQ 9ZrHf7GQqyc40lcw5IO6kUAmb/uWllAxVX2duBZkh/XjrzHZq5NvZ9Yt1Yy8VhED6dllxAV3m5V5 LjjeS0057nSu2yEMzvn1zd6aQQlcOOlcy0+ZLBP9XCcfFZMBWgPgZAkKFZSBKSgUgzS2scoLOlFS uVzQL37+E7FuiZjHquBvfvM3tH9Ail/EmoHqi84N1QpgKjzOX79+xTX9YuWRDMPNZysDQlMRMkoG DLS3PS0b6GnmBiHgPAgtytpzuAcqxwxIdWPjigQIhSj8G9FnEC0EjKI9xFdlrw8XnEzry5LW/wMO UkfFiqhcj2w1DNw3hDToWJxUgKZgTbyuC/pLt6IPbU9X6lfEUgBTq9y8bTjFMEla+O+5vPRjPZxj KQlKOc4877IWWKR/bipPkc74JsZAahiB1FmnQtpsZIw9cngLKiyhiAj2Vtcg1bNYjgEnPnSQqGVf YwyosrSQAFSFHwBrxJQ+0OqlupS4ykDl7DWe1UtP3PeJBTCdEa+uj4kKHd2I0mrs07Zmge4TqXYC RhsqO+lzZxxQQ99OWAinmq8E7EvRlPk9Y+PxGoHFAGe3RdHH5ZPMvFJ9+lr5BFscJmNIShgal4y3 lBzYLMATUtIQfpc81hduULIxry537GAa+maH1IuZ8esnJSo/hnis503GzHVRzMBAx4Ko8VIMVJRR HBK5mAUXXI2bQrAiNb+bs+ZInKoEn98jiR1yeaE8vWnfuUq2HKlmKMYIvM2D66fDGKIyYskEYTXs aDd09P2xousdvMJRFCMPlfJqVXZAMqD433e5WZ/zfA7SaliZZF3wFzAmMVrMYTpRSjsNVYNwIYGi SEq9Yoz98UAD0qBUYIyy91GgFQwKlkUm71rj4AC/MA7nIjoAEOOEjuLftaxFmirAohFiBNhiQEws VHWzPPtcXWne9zjXEQtMxlmEQF0dzWlCNTv6LAFicm/2GPuYGR7nEkWaRGbz+TGYtgf+4yuna+TP YsBVbd2koXwuNLhVicZciXd7OTiIXUclJE0lWRHAnRi/AKW2LOqwvJUgBFpZ2mFbIS6Om9R3epwo 4Gpucp+AVqaQXjwOqRYdYx7xL8D9vhtYuppYf4K6J1kfsBmh8qIM6qMYWngzA2yVfktKGVsMNIfQ HmQkkDxBvjx9pi4kOE9uOcvFMmUqzglUCOtAl1Unbg8Eh0jzhoY0kKZZ9tw6F9Vzk/dTl2cu2aLM YotR/UwPVP7oMCJH1kowFtdgerBz7Ce1bvEIQbBQ/k0zwyJgGhIcLIvUHTlbBA6IFFQWFQn7VkD7 gSuec2ZZHszAoTzGho2hGaPCcwt+ZmB3CsO3Tqngp+eUZj70s/NxV5C4PEqnPlpI8+MhAuG4EvIj EqGlYdIAZiuiOzGfnHy79nZKV/jzSZ78OHCNJcx1XD8g/IyZIP1N6DKIFERfNAgJGZk/ed1YlByp Lyr+G2ognoCCBBoHTsMCJouZMVukEDYhlGLxw7tjLTk5hFFMTboVeqVkJYsSl7fk4T4mSsTnZfFc VRYnz5qDanxa4hGLQSQsbORFUdFSKyTLW/NiBZI2h+MI2YJmpuP4/qSH3krjuJsHp+OaGnOwuZL7 FkXHNReh2qyqhvpRkvfFjekOtE5Gjk/80OvUwZuDmVMipWuQc3vL4GrOrimCn+Gw4SltS3x1ovTl xqd5tTg314B4QKlbOfYtHTvkd1pwXUs8AwaFZRXVTh6XZKTqDhAscOYcGg3xUCEfB8s+ItK4PIBc +t5aN2Vcs4RsdF/mo3YfJYQ6MxoYDh8cWTVYOldLPe3iA6xRCjJPMSA60o+Z9ZvZ3RHXzK+45zwh 59Ccp69UBLVRQrLgVMX6NwgzFlPCVgBWSpgLc3N9Ft4JTJk13aqZY+SJ9ADy1nZipB8LD8CprH6Y Ua7KrCBnxFA/SZJlUhKRxUU6NbHyHUBZrCMsT+wAO5a05IVlt2pHjJzYDkJfW5n3OSArJxRK1BVX cZ2Lz6mzr/1tToXl0NNl3dGbtqEvlkeCXCDZOqNqZXhKCgxH1f8pC1l6zXNbj3mmn59XYeSeWPTA EhBO23azktQx1BAzdX1JptmpXZw5Y9GwJsBRGCNwLhTDHbhGpuxJ7GNBYoMqH1L8SHB/OhxlDIhj hXTG2WC1Hqa6EG21mHG8f/4aMyxIptMn+Ustp37+5tYtSOoWEpwlpJyVsk3YH8XHbE7ynsWxsr+f wsfnnkr8sM5d6cILl0QYC2Mwaq1J5DCtJG0HMYjhUszFbnIDnFukSMQSYDkALHkzIbO4gSRPiKhp AyblccrerqfFwvvh+F45Gq5jtFTMPDgEwiL4Gyql5pqHzQiYiUlBUAVhqRIn0mnOKsN48v7KBknV RO9fE8VtmT3rH5dZL1r643HBlq9VLb5BgVCp3KMOCcloPZ7lf56/zt9zzjw//SyIfsEfCU6k8HqP amGcH1scf5gDkJxMaZxzj1tK2ugYpYF1Mokb/lww/sDHK3GfODOGqKaLSwwIUzcO9IDK3ZwpRAxN +JzzranLDHaRVFg3hkFxf5hneg4ZTIjWzDzmv+s+8PmpshWYGZdPL2W4VhrE/eRlxDITB3XXzmp+ 6rqd7a/JOZ+qBACb8SJIUSHAYRKJrSXErGSY/qOPzk5KMuGuGgdzwKw2Ii6rtRc6rpKMBHxmXvYm /iZSycy7kfNKiw74hTFp3cYR1dbYJ2QQrWrEG5Z003d0HESFRYD1TkpO88ZHqXKEkyDnk5eSjNOr XBT6lKp9+m7n5zThgsk6KGMBiDy29Jd2Qa+LltbwtVG/LOMmpsTmkp0/DH55w7ycuGZVg38rgB/U 8jhOw1SSKiu61lLf2rlShLG4eXJqmA/tsntxCzKh1jW85lGkQ5gRqujgbwRcnwb+PePJJIWqoBX7 EEiqI7hYIKpC1l78FKG5MNyQSFZjOg63H+K77YspgcrXI1YdF0nfX5HwxXOIVFAPD49sJANmBys9 sD68b3/Y8/1cANZ2kRLBKKN4XDNmAMzzwFrXc9ijbgEWThm5jtcNGr9y1DbcFiBdgSOMAjg6gjZR bcJhSw//07iIc6xjImEhGAKQes6fPqXPTjLtqDmcqy/nBCs+CSdUFv9XkjEivyNVQUXfl3xh+pYC mS4lnmZTEz20PXNTvLJF32mg2/tHOnYdXV9dapzbfMYA/1b3Rkf19bM5aTLD3vA13Eye10f6c7um w7CkV4uenrH3flR3A2d2Viq7UmL1lPQ6P4LkzLm2zhOw/F26G1gSQbVyiX6QtsxMbkQovHVmv52u ERjxk0jQwMRWIFjIhKs4F9TG/eHAOBfA+1nsYpaoR80E+BXAeDixgqeJv5ZIWqx+qoo55rJAooEo iws0R8Y1N60TA0QU3zJGOL3evHlDf/jDH9k/Eg7cuG2z3rB7zv3DfZgLSG0g5p99+in7SsYp8REz XkOwt08ZcwDQYCRBrmuctyRDkmIZiaoylmz5g1XQQHP2qk7pVbLYceLSz6IHa/xuclZVpEqc6jKd PF/A9Ep5pX+bFzrj53HhowTmVE8z7SfYQP5OcKkYb7hEpWYEIKskCLEf6hjyfy3XGy6+EFrT/GPC JPxcOZofvlJg3d0bN9n8pAiXK+ii7ukapca6Cy7UsdmOtCBUpEmDltMlPU1M5g9E5Mqnob/IdOZw sSkE4V6m9BrpdNhR2AAY5uj53khdN3JMxj6X2fdMdwYvMt6t2SCoiVln8SWkLjyAfOVpy2csphq/ uuQMqkKwTKJCZgnOiouwMMWWOvguAYJgkH4urGk6rmTWg/SF3yVnWhR0pq4VOSNBhMBmvebxA9vj yt7FI2OKgFEQK4s0Ut71ITjuTibS+GJ0vM33eeyP9LmGlPTYi5cvT54WcbDMBdYIZzDUcvJCrOvK IRUAACAASURBVKLUY5tpuhHOcM0ks28qruYqjR3EGBA9nyUxX7Acr0g2TyYx4JI4RQXb/YbNVJF0 HJGLQUzmJH0BLxlpLaYgvrDZHh7h9VyxaQm+POCy1i82YGhjKKyhcPjJQfoA9bnNZRs21sCTdX25 6Oh+3NPbfk1f73v62drcG4zQZMRrMtenpIb8ftl9qWyUoHTJmPzxQhuoEm1rkXNidj9AkLIZUyZr 6knuSRViVp2L98T9OCsBajUpFFOAmo/9wz+7jhM04nDbwT19yaFM1tpUUY3+gKTV9WLgYi971HZk DScfWypRWerwabcVpglbywfsT7vrhfVXr1/R9fPn3C7wPBZajCBx3GYr54CddGsufBzUvsD/U4bs 5z1nWnn3a0wKPHRxMdSkkwCvdI6zsnnEBPJ/JmlkEzBJNH9aZcitOZPP1Qo0IYAnrCj5JH+U8WHm AiaBDVeWiitlUqO5V9gCGiG1OEJw+1TnT6VL+PK0e9RqW1FfV+y1D3tdKpHoQekHWsDMng/fskPz L9GHKvVM9/M5lTGx5p81e2qppu/aBX2y7GhtOeBdjb2oZv0bJ/SMbHVKhsMaoBL2ctHQt9+8oU8/ fSUHX4mUJDM0jjtXjyDMQsKckvenmnKQt08NMyfYKQYULaioosSuPAOSKaJWJmrzPdBitRJAO+9j AMaT0xT6bOlvQKjgLtMrMG+pYPIRTHGrU8RWnHP4LS46JBUi0jHatVyuSGLKRybUQi7mmVv8yuOI 3ik5neNT+8x/zvmwNnwqxD9qgMEbQb/qsmBvhSTAVZOewJ48UPfUNXeHn2B/YOYmIl+HJ5nZmbeb MyUsQPqG6f069CmIrMRKC5ImmJOz1gCsZPAbZeoR+A0va8sGCYwEAct60OAVDezLp7sR2T0cL1Xd pcSTdWyKZ1kpLMv5LZYlrPmPxgf6w7ijrw81fb7qaRmwtHRs8/P+9Pr65+elP8vkMHLyPYTJoBL0 hw839Oknr5mg8xAdF7YkiHYhv35Z1oxj+T5GkuVWcEbaCLPkmOE5OG3uuwj2y8sR/rPdwgo7ULc/ UAVclKWxapLxA6/lOVA25GqVh/5gD+C5RSGZQ+CFDzpzUE0oxaAdwxxz/yhldaxPi0U7OW9PEY/J 0c8xupn5TTKwPnVGp4Q1hww0+DkOyJzZUPyh9uqVdu6kcmQHa9LhOZFUW5wVx2eInSdgudD10Ufn /AU3A7QPC0cqAeQi6kwfWCy2oGvpVTzY0sbx2LGKc3mxC2NhL+uwkF5El8OGTBHAqZgg8s84ZvMr M/+ieaIeiWXcxLIAIFoXVUefF3v66rii4ZHoJ2u4Z0DtkGIN824HXoL8uGvq+6NEqu/p4X7PhxWE il1KUIcNXawK+vzzT5iBzPv5xD3B8Xt4Lqvekoz7o/s6//mcVOA/83CGqYGwKO52qFvQMvHFeBHc xZgUp0fyDM5ydGEfpKmK0heOEt84mPsD6pRUiXoY+sNqn1rp/H60MvOZVTAVAlLwPRdColZlEmZU odM2c4aX5klLJ9/TBlH3EmnYUiQHwum4+azKHudk8rKzWnrGvaQTuRQS280lKxxcHKA5nZaX2xEK WPhkspHQLe1VHluWqnb6vsmIMpVqdh9J+uMIJHupSGLMUHQD2SVqrnQjzoX+IJo7hb3TEs0h04Xk oDfJSgOwGZ31paNcx8Iqm7nfdpKbV3VYfF4dqGsKzujw7bGjzxGqcKLs2ylL3mkpao5YwZeppf3+ yGrTzc09W99wuBBjudg1LIGCcXyMg6qpiSlw7FUU38dIvAxg9tz/3BWwVflr0nb6XrcPODMxgvSX XPEHXwH7ATYnhYLVO16fC3lU1aDixYBCcS2zHDZjwTgoQoQ45pVTH43T7KJujfCTIzWUoIGoxvmI RMSsjuevHKLJidq5+ZyXdhPb/jh9TxSiJuW2Z1SxRPxTT/OJ+Og6rZHt/rtofZh2nkFC9dmKhwAV d76jZ1eXnA8LznzANwTkFKAYGwCHAKXCYKnBf5YyFxe4GSwY8BlZovipiCiht1ArcLBBTOYmMaIc Ni9uPJB81Jo6S1BHWAUf+fvoJBoJE+NG8MgO6yLfwQWhRtkoqAAO3+IAc/bGjxYlfGm4hl/0yBj0 GLhNa2MAVvi62dOqHOirw5JeND2tXMLBxGKmLc1qC2cIC/cb6hGqAh2PnCbaAPWrZxfs54R1EReP 6ZUTm3xfYv1QmMKrhXO4zUzLJ/ss78lVnbz2gcy2x/yiVJvuBZaom0YIhjInEDAGqHkhUwdXNoIw FTbsS9pkQuW6jljFY49Ms8iSOtLGGXnsMfNV83CGMGfL2DEnmUYikc63y+bgGP5JuDnRI+e0rZwp Gf2IwoOnMUEl9BM716iP9fP3JniH1t5LxuuuqcNm+g4bqamd6Arm819//yd6/folvX3zPZuMLy52 LF5j04MAABuCQxtS0QCLQuknfIffkW1yvdnwQbm+fsZVfJho6SGU0AvJajBHsATb09AFEWcinKWE jzk8S/ISTybzIpwf790/PtKz66uQJdU2X3zD/NHBZzBnh15x/m2p8sM19jS6AG2uuZy9tMIqg1M1 PfhusZogZMhCIWrnSFflke6qit4diT7baKK/XJ3ybnQnrIj+Mw50R4riw5GOyD91lDzp6O92t2UC zlakMAuptJaqgHGf5G4QYb45GPlUf2YmOOu/Pwez0p2eTOMrDuJNJDeTbHOp1NoHM7URI7+XWRdr YJta7GEa8xoaCfMlfmjElmgE32NPdINkl+A9FTslKZsswyin9rZiJGa4MTVMLvEKkMCNaT8+lvhn 2ok3ccxBGG5c6ZAjgxeE2ZHIqXgfN/pcY0GHDclW9Rm3mHESpK7N/JVvwEjFX7y8Zi662a4Fr4AV Bm4OXDGloPVmyY6e6COIGVIQv3nzPROL9qGlum2Zm5sE52RJKfkEa9ypApEhdWkU2r2EJNH9Xfid Y/OsRDo82m/uOP8VLF25B3kiac5gL6ZWBC6v3tuorQdiDGdD21QrlcBg8MXmhYQGQ0lQZVTKCf5A Oscs1ShxeVYd6M/dlp61B1rxovoq0R7rpCelKZOiIFUhKwVUj/VqRav1irZblOMyMjxHFNz0J9bK E0vkzPc5MflhKmt+UFLVyPP9hAm4/nlJJFVH7f4omQCfg5nFnJVHNrTEauDsJZ67hYyRWBuhZm2j RSXwnu5QMg+SHPaFBSezVDdw/COnKmRfYaciMoMTKMUmr0W2Eq2YbQ6u07k7BR99jDp5SiWce08k cmwlDJMQSlZ5KjidLN+ILk0MKHVXAqtkXfRifvw93Tw86UVBP/vZF8yVrKSWpEWJ8U9wVuNQAVSj Qc26kTiHlvdDMT3efLlEehv5QHH2TsWW4rjTvkTNIOUSzAlLrUkHbsnuGBXHEz4ASB4llYxI92la mDifNndO7FZxJoCyjn/giQUWrypDaTLgXfgG6gGiELAFzcfLEyjcE2IIs7zo67Ln+LX3LdGnS2xt cXOIQGg6fptHXCIliB/OYX+k9+9v+PeLyx09e3bFDAXScW6BnDBAPw2ZZHXuQkwhrIWp68k0tCS8 +2xr/t1pWEloM4NN4mcqtShhslzu0z0uUg8+rasFNZsl7yEJ+RG3CBAs7GfL5DE6KU5KpMnfCIn5 9tvvGCetlkta7y4F7xp6OsCK2tS0Pxzperehq+0FNeUi+FrCiHIEMVPJEXtKkmgKzrlX6EGjyibr Ms/AjFE6Yq8LG3HDU3M+DeT2gkySrSGKiNPyTvM6qXuRRrGf2wqy74uMk3olI8YChn4hlQfHJnmg 2pKgiTgLMNtEdUtKVyA8xqejd17G1jYOGZgHPM4dTj2h/ilmoT1lAgSwveLMB1T2cCLSTA+irt7d PtCLl89loyfWOkfw/EYWOT7Op5dYHSPBH8AroAWiIC1wrkeoi/y5SGBmcHD83iwU8TWaLdPGjDn9 vL6nt13N6q0NnhmF9yMyi1iYV8HpRKoSb+/Vekm7izXtLrYctjGXXveHXnNWQptHBpBZxe1kL8xa DF1bXmUKbeZ3xPHOqcA52O4jMbwRJVW5RCpmgsPPxvwDXF8RdTzHgUNc+raTrJxae7FUicvqb1oa Jkhn796945AZeKFfXV0FjIorrS8W9P79e/rs8x/R+q9+SUNVU0dIMiibHuFja04Tza5jLLKvCqKb VuAQyRIcL6unkSh8J9XweY3snCHnpFtFgmG5IpvxIb+InlPlumfkLrmxStp3xCrQu1QFtRPAuaRT WSwR8xNrBqruQJpxlpGAslmzmf3FWmTVBSAti97h5qTf/nc/iUViGZQPOH4Qn5UIUWjp9m5Pm+2W HfO4uMEIr3cB0UWNM09l9z5vZZo48UUpyUBUcaUp6aIRNRDccIN3ADfi7JeIa9Q5RWNc3krUQK1L qnMuYT4MwB4faLw/0qHYsfswqsfg8Gw3wJyWwfLkQVHOrdkhBUvHuerXmxVtd+sAFZziYXP4zmnw 3qtd8ZnIfOASceByZnYTY0KT1D15i9Mr3u8OjmFAiSUtNwjEPS0OuKKSCfMwMqWJADDXKm7YfvSq 42olmUK69shMQCr+1JJdLVpb+B4w7J///OdMqLD3sI5Qv5erFUtfkNaur6/o6tk1lasVp/O+aMQK jVdeLWr2u+RCHGplZ/8/VGJChSsO+pbkhSxFW6JOriSez915vNDGl695jk2mn8W5DoVUUzE/X5CP 21QWC5d3OhXrHb7l3qEx6vp5jC3yFjmLdzM1CcQqT3ksJu6cqk+OPoO/yMtdOw53bp69hU0Is3FN lC3jHSheyGVNh+Oes1lcrJacPhmlpBCzCSEMvjN4EVQ5pNLFottmzsVuj+cYCCq14mQ+0BYIFfvi aKYIDpvSNdizuqsZM/F9UdAeqX174BJa7BNSmmUFGAv2zP7tf/4nun/9igkbin6Ae//sZz/jykRN afFzUSTFn5dXO9pdbkLZdjdxyRqd2kO2QSNBcBkPEnVoXpV8//4DDUN0hMQhf/780pXq8ppByhDj O/w9XpXx0lQqcc+prFbEYVpJW5L1WRRHjFJI4QdP4KXiD+AQwQLxPazdwiRBMJAgs2JidXl1ydK9 NcP9Fb1Pz4bUW8C6QhLH8zauuhypQYUohguwlyW2EbDCXoUUVh8B7DMMUVJRIzHkxyjXNkeuXyek 1jk65JcrnFavJ85dJzlfujsDkPwU5uBB5XQDhTyYWmjVNqltJv3JP5QASgcTruONBvkhMewLpnAr gR6H41W32QHrfeL0ZwGqlhespoHxm82LF7RsakJSYn4f0kYT0ZYthdJd5EM6YoMh5ALgJscPCjEw DdFKiQlOJeofLovpvGyqYCFac9k02QwghNiE7Otj4x8kUdy7Y09DBeKJWMaSbtuOni0btjg+u35O u2fP6f7QUrl/ZEsig/maMI/niwli3OxIWcyuFZkoFQ0xifJwkgPnqlY6535DT8tUYZxXV9dMYO/v 72mz2UoqmJnDMUe4IiGcgvyJcSTtcRKnaZ+xccMyd2oIDN+pgQoGuZhKne7R+bMDY85ms+H2QLiA Dy6WyBChiEFQ2WOKGjbauznFtdBUQzk+xDBDVdKOrduiFcCQw6KD1mUAEcY+xD4N/GpypXBSbvXF f1yZGxoAGxdQ8Ba55wT2EaEz7q1UnlJP99nXeo4xwbnc38YdcxVvbnmDl/RUR42cS+85keYiYA8O QE8WKbHUeIIYG8JiY4NjkjwIn74lf6+RUeA5QlZEjCa6XkLqGOjtw4GKw56W2y2XIpMuaMjPWFFt ZmNd7G0dF4bzwsMy4/6GdadxavAaBM0KRhtip2mpF5o51KtOYhAQrIQPEf9d0U5d0TZFyRLXri7p gNzyuuk/+dVvGHT9dNFTXYghAZeFLdmBc6uXERX/TbrOcwd/KpGbOuYlFBmbuYukAbtYE4Q+3dOf //wVffXVV/TLX/6SNtvXs46hcQ/nhCvbu0ETiAaQUGbed961w3X9NOse1CjUBRDequWyNEtXMkOh jZQon7qWqyVbvSU7wp4ZL9T1IH2rSjp7Jos5jSGqtHZ2xDIouFvFDsw2DrNCi6NqqqJP5zg/68hU 8uWf/kT3Dw+02+5YWgSTefHiBTcEifjq6tnkORNYAsGa82/hqQtm7TQpmS1CBITP6VTRhd8Glm4k Jzn5WXXN4nlJbyOTGTesKY/msu6xh6g++gsLXNdaHCOrHsPWPpNstE/s+6Qw0IpNwoJFQTTeLYCT gAgO9OEv33I7X/zsxxzahBbARcQqp8SKS4OptYRdNNS9QL3XQQBxJjaNZMaAVIWfMC8n43BGi1MY jcda+HYkWwQgjlQmjGvhd4msRz+gtiKRHFwwvm3X9KNlR/WwJxjD2eF1hqjggmqB3xgM9l7y7jCf wzZOW5pyNcETmigt4y9gNm070hdffMFl38QZWNSexLo3+8JMutHNGg+cqMsyDqeualdMojDJKo4r lFNNKj8b0TVMLJXsUmKVS5oFw99Iu11QsygZ18KegqUcOCLcRji0St10ciupTJ/3JTzNbKyvm7qg vRbcwO1IkYScXSBY5wDy6RikcjsILdYFhgBgbNhvNx9u+L7r62smWLkEbXMSrIQRP0he5RbTDcgs csGSFP45ccUqrl4tS/GpyTA1KBSl1yVPeqgaDV8kGOYUiTeLkEhZ0l5UI0USwhtAoJC/B21w8jHH WPE73nd/RCK1kZ5tJMpPDvJInRr5EZsFysmVcWB2VqKHhfj9735Pr16/DLXnxGdMLSFFVoKBk/eL mgUuDOIF4oZxBfVBE7IlMkZYL1Mt5T3eOBDG75B7yd1uxFwHXUQ8BXOzLICpobpLSx/6Fd0fe3oG KRQqXziAtgVSHzEOhWJTeHRA9OWnngRiRVSfqI/etWaiJsTO0O5ix0HThwN8vkra7nYhJ78nfE8D wqmUPrWYO6Ki1lhJMWzxl/oe/hE/4+SizrUkT+Gj2THDXpwzLhSB4GrVHQLWJLFawLL6qmJHaSQX XK6XvJ9yKEcQBqlHmU7+ubVBgkFIsUKotnWlMcfpWiQW0xMTjQwPP/riR5Jquq65r3BHQl9xhnwu sdim/T6DYc1fU2zBXCCizj0ddGBWekyhikmpeemgrLnozvBWh3g4wF1NOf77D3dUbra0Xi3oeP9A m0XFKVeGqqC7dmAQGQQDebu4D45bWD8Ri/fH7x8Z4L5aN7QHNgP1ChgPV+kF/Rno2A307qGlN3ct 7ZYVXa523Bx0dlQM3nIGC5HO8D6Of9MpA2d98+Y9/f3f/4auGPjUqrkYP3JsuQMuYTxqkWNCN9CX f/4Lm6NRl5Fj6Ly/VijrFfPiB44YDBxeBY6HyhMxebdhWVokE1ZWzTDhQe+qGOiLxQO9aVccCHQJ p1utsiOhSNK3XI0WZh4LY+b41RxYbs9a6XnJAua56hzG6Iiiq0OI+cMFEJoDjZPQmpRonj5Ycx7u BgZEbVyccIVRTOdf975Kz/JiUW8tftA8zqPqFBv3mshpaYvErcERelhF2TLatdTBaZqOLIGZZ721 IeRUPQLYWGnlyWLLUViRMXCOebg7AHeaECnf3+nl5xp9ef78eTKe+X0RMzV4NTwpVZ8/7Bc7qnVx g6TvsErE0w6LhFHQhw+39Nvf/UETfMG/asnf/eQnX9Cfv/qalosl3T0+8IaDFe/td2/p5avn9Ktf /Zz+43/6R96QuP/Xf/0Lulgu1Qwrlg8oJVDD4JwU1hDWo8eOHlsQo47+8uHIUfPY6sumpU2DfmAT gbCJng6i9ny3oNtOKkzDwgcwG/8D0ROAU4gVr/cw0t2HB/rH//xP9MWPP6fXn4gubt9p7W/5jImV bFyRiiQbA/Au5Hj/8OGOXry4pstLAYynJmNjNbqpdEPLpvEFBHQjKPcX2sZeWon6EwFs+103Z1nS Zuzp0/qOvj029Kat6eWiYYC/AOEy9xdX+zCFDH6YzxWTKiVAQ8EJjpTFTds5xVh98LmknFFi4sY4 fTSXPk5kqMh+Z2ldazqyZO5dXhJ8LEoyXIjUIAauXs4OT85VJz9vHzPmQh2WzXdSpG6Oo60RP9tR i/A1zAmSRQLYTpo2jUTcL4ThRLjF+wHu1Ljz0HYMukO7kKD8SIy8JHhKTczB+KkQdF7FRJEp2Xix xThhRsTUMmSzKs8kWk4YfuJmED6XexE289Of/pid2XCQajiEQoytGmrWW1osa/rR1QVLW1xRpmlo t9uwBPbXf/1L9qBGTBpSkWwQ5mHhNOyTJJHrQx+dNNHdHXJtX9fiEX7sOVMjVEzMNixg+7bnCPft qqZFXdKOy99EYlxqbUTxf4ElA8C1mYqBHRzpn//5v9KLly/o6vIqEJLpHotBsrbReAHqin70xWf0 cP9INzd3/DmsjEgGB58m9JHDhrwuP7ueejgmVifxtTGCBhUwqpCRUOSJAHHPggb6pN7Th5Hoy/2G muNAP14VtK3giQ2i4P2ILFf+/GaTrROTDMatk+Je3A5z9JlA9Amm5VQ1/QcMSAw2YCrdSenqlKR3 +rNU0uH5RECLRhhEFdnGosYZJSaiaZg0NfAeRFh7MCQos5B2NZD9rARCmj7GpGfPsEQK5ciPumZD QMu+XCUTLhC00CeVWKXgq1kbU+uhEbNVXdIC1u22Z2EBMYwRx6IfdKUqdro2cY7jObZ+1FhTcPMJ nuT3XrZPTvmkeLwhfVAuqDuffvIyWMGQdQCWL9y3aV7RzYdblmpevnjOfjRwdhPvrJ5evb6OtJTd CKJ+zgI3Qktm4gHhZnUxgtsMVCxrJgB4Au9np1Fq2FIGwBmVTOLmBtgNcoXDjfgrAM9OQgGJ6AZ6 ++Ydf/7FF5/Ty5fXmTA95SZ+YeQ9MpdwtoT1B7e8efOO5wKEEXMGb3HJCzVViUwygik6yhNxLZlI JZkaPLFK+xf7hphLRJJJuuiXQ0e7+oF+d9jSH/Yl/XQN9wxRK6SNGGB98nCZVJjsDvO9Sw+mELG5 dEJuA2hbiAV96GPqYLNuSdmZnFtHzcGvj19T7UhgSIaV+7QtkJo5v5UagfDKBoRJs4OgNXwXDSsu i4RjHrHCts2jSsUzkoj/fcyA+Dke4RVpwfS2LCTs9wfet2whrxBsnSUUpNPvYwMRcKi6pDtO2eyR sLlYYPf70+DhjNEvJZq46sd9S+s1gC7xi5COnm4/BSD99ExN0ymFjF0AgMdqWSW54QFy39/c0m// 62/p+fU1PTw+cGjL//q//E+iorB3koQ1BL191ndqbhLkVhBAdpiDVAfwTgklvt9UpfgwMfCpeJNK VcaFIrGyrTDS4+Oe/vmf/4U+/fQ1vXp5nThPmHIUD6PiBGfmVvKpFawWcs6oxwNnofj+7Tt6/uIZ XT+HBJc6WIpKEa1XfsK7Djm3IbrnhDzWIpzd7SGLqY4E3JU6elnt6at2Q1/vB/rxeuQQIDuM4s39 Q9isEaaptCRyF6Rhj2fZfIqyyPnxu4ExzB1wGyRJRAobVvmxbi07P6LKMiaIsU41FoH4SASAyKXm lMtM1GJUrXCIag2cfddEZOCs2EPqJAtC0CHzp+438L0Ph44NO1vgrWCWRclgNcK38HLE7wljQFoY lXBcQjxZRiNoc9b7MSyfxcwmEpnclMwf7ru8vGKEAsaJ29v3dP3smokvJLF0DfI1cdCBGXRmsG35 O67xLKt5Is+ZlxTzo11fXV/TYf9Id7ePdHmxZb3cSk9FkdEPYNqFxFo8qQwii42NBKwJfBuBlisr ZKHqKN4NrEpA4OdaZVcHz9nmfAWf8zZJe86rpFCx7FAJeOwm2EkiYdPYZHEiQBgI7PBIaaebm1v6 /e//xClrfv6LnwbnivSAzf2dEvN0JPIZ+rniYOEFbTYruodBgpPcoWPiyR+zRUYCFsBbw1ksEJfD iFLMgFVDZ2mM1rCYeE7WH6SAM3JxibA91XTXN/T9YaDXKzn8Ua30klS+Ql7u1CwCJ1YxSIBMWCxd j3yOcJKHThxtgatIiXcZEyrPLDTNDggBZ3RFZk7eexJ6gqalEo2MWXKky3shnW1C1R05kuJOEquZ BxcJJ5Xhb7iDSFgLsWc4tiynGWcrr2gS95paB1lVQUx5ZhmDksHButyMvYTe6Cp6vLjwEk8gTr5U mXOo5dZNulGpTtM/yf5ac352rN3tzQ1b7wDYi2Ux3a+2tkH7QHGVCq4OIlUiS228L+7riMlN3aae IlqnrhpUlzu/WrEfx+2H97RsFqyCxIkzfDcF5LGIQAmE+8TOeSlDuNfIRAoANuefdt6+1vnVahmC nO3gJtYHlqWlBh0fNC/aR4tB2Nh+LoCJIYtlBQzKqZFMjxxACEmuH+HAEFU2E+s94YZE+P7DLROt X/zip5KNIVHz4hts3sL3jHl8DHeRGLTlqmEsSzapK0ir/mIRm4IkIe4RNify3dRfSxwY08q90qSq mV6FVcyFpdJipOvykZbFQG/7BRX7I32yhh+QlnVSCTTaXjxhmpOkTl8mXSCb5mNnbah3/0LU4wR7 9fuG/7FMq1JGS6AAvzY2PrcXbE6STBb+PYbd6ibWOcbvy7oi6CkR5K/p2PVsZYZxB/ILJEEQTc4a KqJZCDYB4QIBYD9DzYPG3ZlI5GNMcpntSy9bCBlX/PUEwC1/F1wFB+3e3txyI9uNlKDL1VLPODix pBJ+aEwIQcPfiGVdccRF7ImXGn17c2vuQfs5qU38sFSfRtzSs2tYuQa6u73ljbpeLVlcxAKyD5Te D+scmsNmYCLkmaoeDHAkiNUc86d5ytMN7B/0JuGp9CFM3zIw2nOywJ4omCNmeJ7VPwQlK6dOZyhd cAYf8yIB8s6wWcaR7u7u6Y9/+JIP+Cefijd1NM5lpa1VjDZANkgVJ2LivItBaskTgu1uDH0yF4lA fJ0TolmOovoIGVeBFxXsRYqRECFhSuElyTyAgC4Gor904qN2O9S061raOmzNdTDBZsIZtOer2wAA IABJREFUP5F/HkdQBBQ1unP5duaodLGIMaNhH6SpJMPc+akRHzOr/+xxFScx+MTZAWrwfYwqUarY CFG0dqJkYzjhQIu6ogUTOUvbjfCt+L2PJQSBgqvNfdtTOYjTcKIMG/MY5oiVSWGm8cga2rnL1zK/ 5JaSLi7hkjPS8XCg27tbuthdhBTKoQ96oUgKwAAYusQ3C8HU0g/G9fSNUu1H1tF8Fp+WrmSezUAk 8yvnNwnN4dfhCxR2vLhg0fXhsKfx8UAFQDqkoNAXsdOkuT7Zwpp4HmULN1AVe4xohHPt5TF3r32a UWcBwS2rgyNW+Y367eF4FOxKOYbp0PkC2ASa17Y9j7xWfoLhfvDln75mV4Tr11qCyqmeOQhqBDhC IIJbxLQurrcJwU6lTL++hlFgLbitMHRlCAY4u7hFtp4ZUD+ZJyUsGUDNWA7M1xoPhK8XJbClnpaV OC3yBgxe1c49RtCiBM9gqUV/Z3cSVfFg9MAlCU5UnYWvXI1Nbp8afKDE6oSVyc8RpPHKKuq4GFcn h02voNJqP00tc87Jc6lyPNbjEUx1dMrchrxVNLxUCxOrZOUzOvB9yGqrJ8uws4SxeVhgygRtfeLa Tve//Q1tC+mc8dmH9x84XAbGFz9uSIsmerAcVyATbqqW4iVwhTjAosjRAmJVPEU8PcMRR1w7ezFi gAkWbjtawQNHcZHUboPKul3LE4+gS6QRhsSFeyx8xasmEynGLf4cZuExj5hWVjecpr8Qf5U46bO+ GkaEsvah5pZFo0HFnlhlE+WznGq/MGHIviCLAAvLkb766mt68+Y7+uu//jW9eo1cV74LOeeQBYyc N86Dz3oa1TX526simYCS3BMEOdYWjXCp2gicize9w10MxOWDENuSd2Du0+ITNg8ipaj0Nwx0UbX0 bljTCjm5NLhXCEQqkQSQlp/Vvx1BAMGDBYvDmLJ9HPdXJLiJSnNWZrA2hPl4gDqsT4Jhun3gl87e 4lSUKBUZE4hrGB5NpIgYiREb9vebD1QRcDSUfgPmlpscyDFDe2/IInuyClXc908B6qby4W/WqlB7 ENbFceTkgGDSi+VSEgf4EKXARFNXYZHeYVyT/QOMDymWPga6invH3iHzVN+0YuXBseQE9s5XSACA igrOxqkiJ5KLPaLIgxAuyzfk8aZph3y+oMBqkok1quo7y+2qz5PHpmZ1YIdj2cWu/iuZ4MBdM1eM 8Eh4TsNqcEg1zs6ahyMe8pN/9tmn9Pr1C/Z292PIx+zVOvkRCXNQMLKqu6dXMBIQazOqwgi0lTp4 EKPrGumiVQ3x6YNDDJtbB+dl7ceaUwNT03DLphrp3QjXhp4WBfaPD7xOD++kkewSPDJS5QRYdvvF SyI6mGnO+fBVfG4YgEmqESG55/x8B2lljrnpYKIHdmq19fhaZN/5uAQz/O1vf8tJ+3CWmlo80r/7 /nu6RGgRZ9mFlFhSi/i7qgzO1tjbICI4yF988eOZeofT9/kxmIqVX9b/4EZghGuz4f0PAx3aQ6YI K0Fvzz3c3YqitRXfSS48guypyGqyP7AFtri4EEMGV8OSfPbwuUSkB7QgKWQscw8HcqurKLAHUb2B F7daSlihc5nd/MHGACEqCqQDixWKC7Sily9NXPRSUL4BlEP7w+2T8aV3B87kOf85jpYvEn6F2wGA fAZcs9g3DwrG/rqTGlwZ5OKgzbbjnFDI/SShLSlelqhtDp+L97kEZeH7KPLHfpjk6tWMZFvFnGF6 ohDic3crxTdevHgegl89EYmqQ7Topm1bf8ShMaoj7tgVJbV9QT1XfBG10KsiU3VpnvNbm+ewjPnv Yp/TwxjnKmJPuvFRUYfdL2L8XrKPjNm66U5VPC9JRNU02cvhsOdrF6XLHETmuowPD0xs/uE//QOf r91uy8acr7X6OZw+YYlujy3dPdxzkDeICIgHnkXKmcuLKy5ykqxjJun7vWTWZps9k4znpPm47lIg dhxrjlcEXNT2R2aURtS++uMf6cOHD2yRhyW9alClaskWf0kEeaQ/apZf+IFBY4O70eN+T69fveLA 7ffv3rMBbrVe01//+lfh3ZwFg3F2TuSWbrp0A8jhEzxDDj2kFqlIU3FGRBQJxQLAt8mkDk8EYtK5 7Hg43x1P5MLmYEocwwY8kfGYVWIFGaKYDL1bwoDM+11UO6/zx/f5zSTSVeSESAh3pLbt6Pr5M/E8 D7hG3Kz+kqGn6TU82BvFeJF4vIR6Xtlx6kYQQqLfivUVjqipZOsvb8kTNU8IjSM2LkVynG4BqeE6 8PhwR7cj/Hpq9T+K6k86F5nbi1tfk0HC2mX4yzw46w9/TmzdX4knt64vP5ISIt+3qWo4tVbZfCbk IAvAT/tjOFga+yjnqaJPXr9mSeXnP/8ZEywcVqRgAQMCg4S1/urykrHYI/DYqqa7u1u6ub2l169f 0+vXn7CEFsKYgkTvJOhs/gLWqT6RWOo8RtDPZjDMMe6KLBGNy+MPCUn2JOoobDdrFhRubm7o8vKS CZbkUiM6gtDBsjL07G0PAgg/QxA/qYJ1kKpK5VriH9Wqbhlz4WEnYJQ7sHMbLiy8fsdObpDMypJr yiF2C3l5oHfDdoBbLV5wut8igcqmJQVtVeIzcP1UO7YJ+B4enADFEEEBiLM6OOUXU9zZXiI7j+Pu TAoAR4FrBDzOpVRXSs7litw7qq8x7CU2nXoEB+klwzgiwKyfTPAVISp4DNwHajo2ysXlBXOqtA3b cGZFNcwRKqQSCXxeZWl5Ak1IrWmbaqChO9DdEal10zxc0ywEcZ6S1Cwze+2c9cirXE+pcn6iRJ0Q a2Eu+UwIafh3Ggt3qq8eKJ7bU95Vwt9nZwohXbjh8uqKGS3UI/gcspUUUgWMXUgAsCXaqPvEi/4F Y7PYi8jXbnGpuFpL5lhX1ChjZSmKiZPABPAJQ7+RQBLtPcAvTKvjeEkwCALaaSHM+E6YeYlcS6Nm 7+06evnypWQogZ8firs2WqlK/f4g2MCgB6mcpTKojMhbr+msTfWzqkFS1k6cgeE2gbZCepmoKk25 cdD/MxcC9vHgqlYNu/mjLei449BRjc2v8Xrpap9ymsw3hhySfDMmIJ87+HZZQVEetElCOowEs0ou fwo0+FNvgp4NsB2uEVKN2Kttp/omWRQZW3L4WTpe35dMnZyU1EqJlYV3RFBYqks/POyZWCH+klUg 5Uqi8utccGe8E66TVFx6HiPKKRgbx7FdwPoG9TAjpCfgq3Su5B2p5JK+I5e2ThG5+OLoBJuvDjY9 8tuHdfZY3bR3H9n//LPph2HFdY7zvSNjlCgMRDbgbzgIo9KQpYa5u3+gAq4juw2/A86oVVOzgyss rMifhtWElMsO2ry8JadDkoKrMpew1uF3EJNez0k3FrSDsyxCbSDNraQ8mDcYxL3r10blUyVGIExs hdeqPzjzUAMtZZKtEfgo3s8VzVHmrCjoYiPvQr/RLiAqv24cFQOtTgvE1vNi9BQLiIQm5WDGjZAQ j6Wvjeibx+OB2r2Ew0imSmmDCdgTGzse2NRqNZVGZjYokt6xK0MTPelnAPEp9qELo/XgrG1sJOjf yBRxDqg1FcUfGnYHOCFBzEoWgWZOpYTwTOLzJA9AVYUECHUcnvFCmNzYzS9LdmNUCcwQEbKUiNpv TEueVU6vcIDtEXhq47Bo5EtitJjOjeCPXsL1486E/JOYVz5v7o4JEQnsMV//pJr1OdU7/z7OdyJN uU0xYabqQuH7zoeTM4WCSB2ZKUPagCpo9TFjwV25H9WIHm7uWM0fy4rnnXHLUVK+8MHWRI/scIqy XU5DNGLFoVQAxzlUKDIkhoXYP28OT03nYm7KDHxHGqaFMkVIXZCWoD6KV4GUw6t0byEJAXjdXYty ZpK+Rsw30gs7u0ckTeDiG4gI4Hxc080Qpa0cLPZitCdmce0AcJYwd7O62FDftfT4KDgXOr7dLmVS T26SiJVEocwJ6+pIJt7XU2KFzSDuK6k/VNyzJzapqYKuGg7E8/3jXqw4GnxshHzesKBqF6qMmMd5 cNdIQ2f8M4GgOKbh7jg1UypqiwUG4waGgDkPeJIVjg3SXVSr5CPxoSpdRlRzg/B4oPTC1FPZCwdU BmrB1RdJ9sx4sPMNno7DFV0LBNKrZH74U1x1Kt3Ku06rk/DFEq/vOVxnZnaztk7+nRCrnBHGfmFP sCTVtjyvYC5MpLgghIR/xWyl8V3AgPAdcMnHhz2VyMCwQkiNpMW2rPGI7kE7aOHQSWVw+DyBGLG3 PeJ2VbJaabC61tDlZyBlPfZ9UBc9fmdjjdWg0yy3nimEeGRm1hJ69KjMdLFAcL/kvwPBQupl7rGG SLUEidEgIPHT42wlWrka97JKmGIHXjWK8WVxfdL7ZkVhdAD4EVsQGup6ovYBmRA1G+JCEo3hp9w/ L12l1qlUbUlAeiMW+r1lNjjVP7ftMgIWcwFBpcImQaOosecPo8cg4py43xNsxJllg3Uv/oyY3Xl8 LT+LvJFYBG9ZupKI/E2UAzAfOlF520aUmBhoqIBAT7pRg7riQn0sbEevZ6uacUzghDlzyyWTsHRJ sLPOmZuvydLYXWkdWRftMH/N4aPmiMhr6/DG/7aX2wPqBuOJFBg2rGN8YIHH4Iwoo5wniEUwHkFT 2T/u2dKGZ5abNRMrzB+HHrkgaC5moqFzXKIryy8KIsbzEOZY4jDvgYWi31A1R6JnS4loQJucnomD w4kLmVh7Ea+VsyRZKoQo8fec+0vGh9ztuAsuEri4wAkhU4r0uRyRBUOJoEqAfIdhwVzkJQtSDFN/ NpA1Ls50ktMLRIsDK+uGJQFYN5CoDrXULi83tGKXCC9mx4PsJaeUTMaqMtFCiA0i1gau6nFSLZnv u0yIhfBQsAput4Id+LfH39NQgzn1M6qIoec6xrQf6SFLpaH8nXbBNwdpgQG2v3xxzThbLpwJ08nT 4RoF0ANm4UxBhVYnVPWxQ6274O2hHPGxQ+nzRlLlZhlOpkzCgmNiKbcwnszcP7mygAAhYEE3liBf 93wiTNozE+Yyvc4B/h978cGGunc4MGPmTAzsX1WzhGGpgOP0+KwKaX+tT8YEcLhXK4lWxL4E7MGx t8aY3TmVcDgQJJR8k8wUNje+7RjTIUwF+eWg4nNZOsRvOodnzuMOQodiFHpYk24bUdMPl2q3tAKw LdyCNDj8fn9AwUV2f4Aayaxcs5rKGbXgbU8DZHSqEsZP7YAZAXlaz5+/z08Oi78FdHSEeZRstsWk f/ftO7q6Qu7tilPccPpYLVU1IZIJcKDqjJMAceF5vOu8VJU06rB2qSiDOYBVED5mAA45L/jkmkpB c0CxdXuiOiejSz3CI5eOfcyxn9i2gLSLywupv5eUQvNvi28Nmy30eQiWGSmxLq4R5hAMKcFEWlOF H9qBbg497VY1FSMqXXvM5YRRIzFs/PAr9Xcych+pUyQ4eWhUnFdRC5XI0b+jL36GDZMCZtv2QqRY s6iorqDygUhJFlfvymKEf6LZBAdnPwhhdCWyUcCnqd8zYw7MWiZoMr1crzIw9NRgNXchJhA0ibEw TmsQ1XrgZSv0qyq5uhMMLhzErR1kbA4ESfcWjANIH2X7n/Pd1sLgwGgB1GPfoUhvh7PXSP1ImyOB SqZxh3X0TUqtGKrqTxfLM+jQ2fllDYRMv4cauKtrzm4AwBFZNkEo9lC6taIGfFEajaaO6TFiKEqY weC7JIOT0l1ITCb+G09dCejNDrOCXaG/IKZcPXezmnBmr16lf6fcag7js/snEoFTJdKup5VZrN82 pwBuIV0hj/z/z957MEmWHOmB/kSq0tVqGpgBwAUWYrk0o/HMeHuk3dn+bt6fuNsjz27NuBCDBUZ0 T09Vl0r1Xr6zzz08wkO8zOwBuAuAHUBPVWU+EeER4eH+uWpNybCx96VqsqiVQbryY3LvxkbET59v yWUk+/39WkzyJxNnvQnr5+izotBitb+g9EWb2SXAS4KEs2eamRGjAqRQ9T37bp2VzdmzMyevO/bK rlnCRb41ZlbqUuOrTklvlKlaOdv2VDEifU+m+dRxfrN4/eXMKf07t/iFz5k+XmITqQqqJtQ0LgEH TMwRlL3XUSQY/XHrUiqRAx4P6mba9ylr5VJzlFXzuuGY5G6zZpouFkGjKc1PW4olGmVUo+rh/qb1 AjXHFOLzAA4DzOay6mv4OT3xz+Wqo8UcTM2B8wZwl19ChcBAWgG6FXQsNdt/iw+IaVOlK/Up6Tlm Kq06sn95WydEpeMxzCq+P5NoIzwsUBSnFPArMHz1YYlvsid3jo/Iu0Lkv1f5XB/FLUNEev7MpdD8 dk30xd2aXi4aejZv+cQcY87JS3N6+Q2WflVkV45xp2WE0geEgyNj3vp9YYEfYzHslUlB3XPhWzAy IbU2Fydx2FT8zLBO9+0v7VqZh5rnDPIfW5rOjs7/FVlg0xembjR5DCzAd0mZ6SQuSF5uLUGy4pTk SL0MZg28mbORggtJplokUYCPnis87adJCwAjdhnPgMQIhoXIGU5fDux4tWZjA5cwS/rnQXf9wg8o IYVXHX1i/zKh0ubxKb+2wgSqCVe90SEmwpr4+Lih29t7+uSTZ5KNUReBe5BOlqofUoMOFopDxQ8s yO3OOOejpP1S6eqM0xVbbOrwWI9N85rTLt3suTTn1U33kx11u57dLYAFKHnCe+J4sZSfiYUxZJnV ObXqlk8S6D7rh5reLTvO7/TipOXTMp/XeMzxWMN48ZtICl6pKJ6FJQlxbL+X6R76FFxlZM51zAgR 0erDyqCBQ+EfNo5a+ODrBokKNMdaZUzqAyCI9LKwFs3v0Zooj4NbZJHN319ijpnxpVA8Q9f5hDPw ytOfHh7o/eMjS0C4husNoADqesuqX7deS7aG7ZbXJcKF5mfnNJ0vaI7YR2VUrs+4Fk6qjLG5TLDA siT0Rww9Ur9QEh7COVb72B6jtggBgsh6TNt/YsXvQ6dPTpFEcMabENaQ21tUHCYGFwE2cg22CLAM ViksJk2sP6aTlCZO8RxhZJgMicljhzeTwCy8MWBnen8Ospc2boECWT8t/mUXlllInDhtxzR6epRN BuOFMHRZXpK1QZx2A7UVO3FMid0VJBFiGEMsAQjg7q51nwO3ultt6MXphC4XCOUoSdw2Va+83W6E gI9aBiZ9LGfziA/Hssqrz9sjupjneb8hxu8Gur25YaaFOYekP5/NOWQEqbqR3BInPizPWBsIM3n9 vf/FHY77gfp8H4U+pqoqU8CEqsXG1PFc+fva2OX2Odkz/fs0FTLRm6/f0Ju3b7xXOvba+fk5G2M2 KEix3XCCTDBzYfJzmp+c0MvXr2kxf8VqJqeoNu9Tw0DaB45ZxiGBPFoM1PdU950UpZnNpWpOaeNl Y8jM1fz4UVXHnh7ldWRNy0MkcU2nLc0XOO3gBIqTsGKTKLAvMZlqvKLgXpzugpP0xcBjPK64I36R 8AYGs9rRZgsnScHRZOOZHO8jnvX72x6aZgs5B5ZjTEf/B4lAPKPh1Q7syoLayqxKOZu8u4jJOCrv URXZHuCGCTpaPW06elp3NDubcHI6766hInQkRckhFyyzjtpG9Uwosp+SIxs2qF37mZXiXeHTcD3i 9BBwDFwVGRCePUNOfcS99ZyFE4zr6uqS6Q7a2apD+1q5v+H9PoA9yvaQ35PSanA4ppUm40N0b7fc M4+3gUCQuLqSAGyVUJGtAVbKGTuISuxfUD9lPCfTSahs9QFQkloWsadZynL4NmciCUSIB31sS0Hi HIR2BUVtiadC2g4r6UnOaUmjwWWKkNWwg1WkYZGTU3Gw9Q7S1Yod0oKUETcZVxoY6nrCUoQAoxxN vkT0uUSYF0Z6hNU0jCFSr0dvGZNuLciuXunCrtRsDovR2bn4s8h1jto+aNsFjLpslnqRZ2jWqGGk sN3QmSyTTi10hSYQN3p91nBJNI8vjmywzFpoVJ5Uuhpr+6SKXP0bRS+9FS3QStw2VMWbTmZcKfqM C4A8Z+lBG9f263C6z5iJ/aGtxFqthTU0h+Ol3KdyLiIJqh3v3/H3Wyk+JAKIn58+45NPXtHLly9Z 0uIU5TWcQKdsZACzx4AggarQgPqibHTgdfRhB1FqFNDiGJB0IZWZ4GchUklqKou2SgC9T+81zonx pQX8y74zfkbc6YbOzqSIKltOAY5vYVqFZGSfM04M9QTSTrO1hf2uJF0GLJVYIJDiIOUFE3mKJZTp EP7WE0YrmdgA6Ej880zbrslUQrQf7Hr1at9xP8VpU29SNdBIPT4fgsOH/OkXMxAHDEpRzhEpmhlf O6GXlws6mXImf1aPBIcS5mjJYa2a9jl5kc6Udse1cWmrcK3piALnYFY8Xhq4zP3l1SXTk8NI9kRi fNeWazF6UJT6rmtPQ7biDV05plV6x6E+jDULtaSME9gS43obWKWX7LkOOsJoJsVkxQABXAt408uX L+jk9DR77zimZsac9Ffp5nHuHKvKgTiRnPZx7sDY/D2FOZdqNZY6Qd2ImaA6rBlG6ayLJ6dnor5h 4253NJ+fuvJY+8TpwncMtEPklOBmvAC+TKEQRnryHfYLs2pR1Hc/ZlWxgiGjREf7TisdbLYdp2jG fVAHpai0xPl5IrGrgvrohPL0Ckh4y5zjM2DWWGRWxZChuXlxjBWfrfqa5q3zYtL89KbwZzbf5sAL H44zJguK6/3HYDf7JF9lwsCqNFkcx0a6jCIYu6gzZQn9u7YyDpyuwTGNJs8WkT6b/ihdjbWGMglD XwCmo7E1/+nJee2jMAzwpo76vgFD2YOdJWNwDfjh119/xYwR6jjmCtIbrLFIU4PkfpIZZpLHEh5j 8YiZl8EIRhaptTz5DRthSzHxggSg/cJPteTh+4ZmkIQQIuA6ExK0qaQ20nH3LkhXALAR1oKFjDw+ OCEsgxZQVW8LorQDtqJTgX9z1bHDxtOTMr4/YEYJrUsSqBsfJAIYIzCJCG2YaYQAxwEqBwqbfJ8B QtVgFBvAYkOMvrVAWnVWsoxKZP9qaOmq6bl6jvC/KoS8eGkyZkgf5uuURwvsww3DYRR/zpkuu87F lYq0iWs4TxpXIprxXAdnTn3XfjX0Q5pltvvwtxhCsep5uVWqTtvCrgdUq/TzMuhu5628PoFjXV1e 0ovnz71VVdI5ucQHANZRxR353kddNPL2+PBI//f/9Q+MHf/kx3/Flnqo4DhM3779hhkl+0UipvfQ w4LI6odYSEFTghBK17jN7RPGBU/1XC2SPCqeLRhHUZUGvEleNymfplLuSrZ+xNLDs1y2UOSQAnYF 9So4nOIKqTxcGk9g1oVF7RiT/T4sg6COecGrFEzu1498wWmZN4gXXHHwKxgrMp6y2gpmxcUcnMOf HgxRSat4Q+gmR1A6VDo15XN6ZcuIDfPkRe4YIMesaXypu8JshyhvVmnB6hyWWnpgxsabMhPT8SiT 0mRwPB4touFi2yZT8f9T9cI+67u2EjOy7jA6ruMwJfkZP2v//dVBZpgmUIwPhLSvoS/5HEmiQPmp ezLuo7rSRD3ZO25W8yYtM0O4iOg86sZBBlagS+you92Wgp8TQhx14sQqXbxJSp23pugxTlzKLBmC om0frUThS7ZDMnAYhc9EoIyPKgZQ8Q+MCv+kUKZcFZ4fn8DlcdvFgX8mVk51v0RCDDQuP5Jvc7QH o3q4f2ITMvCV8/MzZ5AIB22sZdsPzEo174I0ikODMwE0IfVPag3VPoI5sYezFiENX7hQHmBZNmFj WRUq0bKsDsWMakzKipiUM4PrXDCeMhGv8xQfyQ1D+/qTN+2fhU6C5pA9MRuH/W7Mip0/Q4PodX2W Jc6y9BRjiqoxjA01t0qmh2/Su6JSYH0e9e4yfc/Ozujf/bu/ZQvtxeUFX49xYs37Ml/sRSD1Hfd2 cn+LiTO2EHKwTa+xgcP5oHXzWQv92OIXIFKfDVylQdIdURWduigMWKSJ9RKJxhDDOBcmwWlcfWIo p9rte2c4hVKLYGC0EsQZ02t884ZLtGiFSKPwcTk/hxo45dPIvsvy81i8D4zbQOuhuo4aHSJnSmX6 YRPqVKJKyqTa0UNX0wwAa4VqRJpNM8x5dNomVVWObWEt5FIV++d04p8DBoXfGfTlAg1gUJCg0oPm +LVdlmhihmfpE0MjAUKwmoHMk869lUrCoWKB6bSPcdzhkOWJOzQm7fNhY1oKyyY1C7Ti0sh8hgM5 pXcKq+QNUMfnn39OL1+9ZAkOuBbCzoBfyfAl/C7CsModiCWZFLs61GLLmJMKHGio0pM6pdp3+lNV tlL+rEI/lTiiEbm++xhBySWNz9dL+I4MNId0gcSctUwCp2X1ic32SwNWGkkNFTrYso+bjjXiNOH5 WmzUXXd6uqDqtJLsqQljVMlJ3hPGrE9WaZTHpfFrYFRw43CFcIODg2Ovsf7gxwRGcdVs6P1uSjdd S5fNjhaNpA5BA9YlFXDwtJDTaEz9O7YJYC7SE+c57wCaC4jetDUbH7hKuVeD/7B3lgpGHKPCliSb IFkYlx5zjazrfZKV3mat3ZU5U+16KBUASR+THiCpJJ2P1V4Pmvt7CwLDmJR56LBitbBpQmGK1UpS JjHQ3jLGpf6WBzGsfYP+wDtjoNCPwdZ6s8Ct0DMwhtjkPippWY6ugbE8G04V3G6YYbEf1zdT2oII P9DjJwDSAXwf9zJO+5MyJmUJxeakEPkRh6V4KxAsWajj5tUA6Z80lzTPMRm9nWnItyqzCotYHR5h 0dG/mb041dm7XgyF7Jy7gS6bDS3qgd51U/p2N6VL6uikVqZlGXe6GcYWbCmHOKycwgBVgoI0BdUP fQDzhTUXWFQet6crILz3sIVRGU7YtMes71xNteskXtNpv8zwPd329S8/KOskTc8x4yu9I9cigqSY zJ9WORphVhYzK7Uxo4muUVSd/vkvfs6MC+o9PsOcg4lhHUjWUg7NKRPHDvQYHOe8IiOKAAAgAElE QVTDrEFOKvALRc/3ELcnzF7jCO2GHVczLLn0OXZsAJkBXPPJPJ/S+k3D6TJmP1JmGaqfcIhOJRay Y8aWq6gq8of+mD/CtJr17AsW6AOMSuZVDXdqSx4oAZaxiPgcd64GGs0fYjC1QpEwK0mBEpL+e4nS Oafqpgj9VsY30Kzq6Fk70FfbOb3dTOms7WlR9zRH+AXoxVgdDAKSgSMmi1GJHLu2dIG7Qdd3/BMq AgwiXKeukeycmvzukAR1iFHlWE/ax+/aYuZkD730HWMq1cF+U0koG1+j6f4tQT8xlJNrVWheukp8 1CyT+kMMGFwOrOiwHfe7/SCJoRjqcqwIHovY8fwZi56XFkIOcU3TW+5X8oZUbdK+ImB4gw3Q02zW UD2paP4zqc/GSmedO6vqaZurezG99n3OjNCkfTXohpcCx8mXSKW2P5zC2DnocgIDpzz7eLQg8fAp Zhk93BASdZaBTgei28OK3Ra47FkYy4w6etWuWNJ6u2mprVo6b3q6ajtaQOLytsLUV036KRVRXJUj 5ycl6l7HAbSceYOZ1JwlYRuKFWbaEi2WBsZAevuMWJoK2Wr/kJYzPu2ngTzc0TwGQh+WCge98uAY DwkbsVQVgr9QUj6/Tk/OWPIeA+/TeSiN6zgDR/ycyHE0xqpsloIxcfm7SVfRPd6k6vU4/74xiS+d iJzRmnc4IQVqxXq1YZ145pLy1RdIgC++XJKGFVe69LsJ6D72vrRFzMrkSrf00gkvnnbZGW/yZ3vj xHhIjL7FzpVkUQ1VtQXnE+uZ7UcMX2mhU42uEmsgP7Oq6awFBrimu+2WbvopfbNtaTPU9Kpd0wnn C0ER0I6ayrmLWElKgXP2lXKWPhTeRKLHmfhIaRXgtG8RHT3dor9G56aEJYZ1eJxsdQjzTTdpql5Z 1XtMei8D/6aNZJU+tq/xZ+IWo3n51ZVI7+crFGh3EnvOEEc0nkRKK6m3hzW4GEsvYlipuFx63kGi Jp0qgXki4gY1xH1jTqVYKilJgIH7x+ZwfZSAtgM9PjyxWjPXPFfO/AgRlxOJucmShatJ145jyJ7o Xn2D6CMMy4rxXp0bWUiWiVs6owFo1nQbzMxRgaS2ebAsswpMXS15uvnFPNwmamZgaFFfHKjPlkVv AROa4QtYDi/bLZ3WHd1sa/p2O6dvaEKvm44mXoKSqigyD1KBB46BnK4FwaytxG4i4N2WhIrpbiVT 65FeWleh/6WDpiwNj2MvOgdhSkrzlhwQ/AoNxcolqLE23r/kOhqJ6kjeVoJR4r/FMVjWe/B7tCQt 7d197ZAKeuz9JckTLXJrSC/ed5rEkEzJpWG8o/653vIRfetPHkusw6eamvmFWUhP5H5sDmwW5I/H ntjtJH+WqFbBCqkAsLfRSfmdiGDFfriqHgqk+8BiZ3XUNC5leo03ew2YFXLhc66u8xNOcMh9d8xA pQUpO+4snvo+r1ILswOoKUwrbFavOprnsZd7mBaxVJoxKLa1W6+ourujSX1Gt5tTotWGntWa2WDD ydygjiOGDw1YFFS98/mZVPjNNpcusLCWHO/MlpU95S2zsmvjMBMoq5Tx30KrsUNa+mZddJKTM1G1 0zaOqRU2/RAOpXQU5XUV90XWuKjiwTnYrdH0VQl2ZWmaY4E58J4eIGNjTtsY78kkrLQDYzrqWJNT eIxoycIpnVaZBBJPjD5BGEQQv/k7AWLcRhY3AOTwgYkUvh2z+YRVFVlc+D6Uo9ceeo94facDpbHp IsBRAWon8oMp9aSpRxSkjhfo2ATHG6REU1O52YXKgOGoCqlHq1oT+ZkGiBeoLASl66JKN1B4t1hl ow0f5bFyNGY3BqJv3r2jh/sHGpp7ur1b0jerFc2rjqqdxH+t+5VP5fz69Wt69ckLp5b62ivG2dAs +iTuUDz64/CfMIZExTPjitbHgcVcZla2jyVJRq8YbxZeGHtf+b58DVU4VEo5iAvPjdRUjQHVONAD LZYQ89GNSUElrSyla/xZWQMrXc8MK1V94o2k05OLeSXij59mIxiQHAvh+yh5hPMPMpKOlqXCZmHc yTEHny2KpRphVrgFzAqbZjafsoTAfjZO5RQJq8zJQ5I3gx2ZDcXWK1eWW7NXamxa2OiBXuFEtBhG /M5cSg0NuA4cIxGmA4A60DSkGgkLUrI4xuCo65Nf7KpeWdzPzYNjclb+9XOehN6gL1DpHh8eaPX0 SE3f0fL9E00XU5oualoun2hXSb4x8ZcS+ssUVYkVKl1nyojs36m6mDMqS0PPZBJJ6ZiWr+/xa8c1 k/3+UeVD7BBfrTLjyKHncgb1xDUoHpvZ85Vb41wl10nW+zSM7N36zPL3uYS2XxuzD2PH0dLD9MVy 3X7uah9xrLqT3zz4hat4kDAqx5w4V7RU7VB1wfrh2NSyKuGgVBdUqdMzlBlzEgmHkByhrlqCeQnD EZexLlGZtNZdlj5m7PlRZs2yi8ZY/7iAwiAFXnWscAPgfNgOl5KF4Bi4AX5F2gp0ThmDHUOq4qua xmqE1jREIYadBBgjGBtvWG13tGnmVH+6oasZ0en5CedLenhYUl219Pz6muqZO0yM1CfhJqHgqzIY 7jMHLOf0lTmWSj/S33jh21M+pmeZtvvgj3hebIaR0OK+2eSUsRCQ9ydvpW6kTPBQizQUjhIdZ1Zo uVbjaF7E7PbDRvsZO/93L59INQ///BR0txfqQi8R51AHI/G1yJnjzAAixChILKEzfL8rtCgljgyj STAL+1xcgzzTQ79jNUUA3VKpLkvEnDglgirmJYzUWRN9XqvY4jM6GWw2Ds53+3HCeIEieBdl0QBO w8qm6WXwiwLpdkFI6hlh8JqpAC2oq1YKUfVfDgk7hz5+zRsxJPEdinoiLxlcQBBRX7cntN4t6KRa 00Wz5Gct5jNaNGe0/e2E1l8SLf49KqX4cATv1mCzeHpWqcVcyRUD8dK40i21wFqGop+ltCy3fepJ fN3ex2RSoX32MRrJH9KqZP0pYxXYoryX7X2RJuAYvuKWOVT04X2TZ/MToufsp0PMGL1bg91wZdVQ b66OFgH9fRFzMmEETrViRqUqWCUnp3+/B8TT95YmQK5ZoULt4yNvYjgcRpLYgfVxzEnLmRTdxlVp AKmVg6NrGH+6GMZaqveXrkVKGWByKJ4Kb+/Ly3NhXi5LBaTH9F5JiRyS+2k/NCWI4HVymsZ0DJkb 4A7y+PTEKh27Imw7fi/iMC8upN4k3tH3cLitaMOeWPquioZuR6t/JNp83tLkh2tqriULqi5gG2Tu 8RX3HdNTMbyMttLXVJUeX7/HtH3MStW1anQFjr1qrB/7JJVjx1AVFnXMBCAIwDLuojicl/y4hANV UGrkoJLNMeNIx1O6J5XM9o8vFZ7kniLonl5oXj3SSfcCD4bLpcg4IExeNotlTt7RUZ0CpUdHnkbu 5CgArJCu+i0sUhs6vUR1k3iIMV4TW5bSxTPG+YWRBr8UCSgWSQCMS4DRUCcwe4a3pDj8ZZy02SbE dVpNmO+tG2bpeG/D9RyDxVPp6QtK6DzZiinhTInGztHywKOQ1ma5ol/96jf06aev6cWLZ3RxIVKe p5PD0KYcpjNwvOHZ0NNFsyHUNq+agU7/9zUt/uOWqhM99WXkwo9s6TUZpKe/Y6wIVBdpMs2nlp/Q 6d/philtkGMxLj1YdJnn95vP3ERkEMMHSilhXZL/m11EXKhSqZXWnuBecBpG0j0E0caVt0PfpO/2 8LXf2zEcK3ml/RnVYMLTIklMv/PBz+nD1FQvDoPip+GlsOQ6vzEU3HSjZkuVbk7WppoC5uR7W2RW 0UJIxRAL4Dl166nraXn/QJfnZ1H20LzZDbKPyAFr0QWtYUVeWmGmK7l8fG50zuUcOwnaPrshR5sv Ok0s2mTuhZQDbO7p8Ym+N3nl81kh5IYNAc7VwY/QMEd9HxY5wHLN1qBYEa5DCmY8/5f/9CvuIJIG /vRnP6FPP/0ePX9+xZKdSmfMWDjLhRxCCKx43qzpi92c3vQnXCrqpN2CNNSchKIXAkqJhVF8vLSf 8Wb2HvHGsTFIgmNqxXFqT7YaCmpkvhbcYWeYlr1fDoCA+qgV+UOlvFEYheRzTpyHhI5cUksqJtvr D2JlHBzRsDaDalGpKgj/vn19GhvPMePM+ExB3bRrIYYrXF1CMpY47bhkkRTLAp/QXheWlC1i6XHx gOqRzH/rC60qtx9LOITjWHUhJEqx0pJM57IfaMNlmhCXBNyqNPGBCcXv0c1gJt0zyuCCkacDDgvJ q7U+kSD+L46TAWMJiQR1Qsp00OeGUw+NLZ7TCb1frmmz3jqGJYynh8d4hSq9tkSZHSewriBJSFBp Q5t1R//1v/2/tJjP6Z//+fe+zuEPfvAZLRdPnETtxfMrJzbbRevWhhsEpDxkccDfX2zn9OV2QZ/N ao419OC4A8pDuJW1oomKHRkGABEwdNBzNssAssenccnoEV+TMrNxeCNdipYR+v5F1st4nflNpqJK Mrf7GWbe/6A6E/8DzIFcbpB8OT3SHia1V+phZtpy4ZHwWc0OvXk41IfggOPfjTHR0P+ySgvMFDVL W4RPSPK1mkMpOP0I+/jIYvTpRowoKlKWO0HYTF3KcGlebHpSYk4fhjHEb9KBoQItcp5vVyu6eHbt rYJjj05VzHhRpizJSVbKfBMGaHrjJIjKh5bIN5JHSAKTmbN5jGb0FEwsXradnp6wewMkofPzUzcW qV7Nwc3AjfyppO4WsgChRsDVA+Wr7u7v2ev8yy++kqondUM/+9lf09X1JTMpLcahtPF+XlbYdWol 09rN79Wkh6xGX2zm9Kvlgr43W3NqGtlwopaEkzOA54Jl5Q6grHJGBT0sg0hV63g+7CyO0dd/Uo1J 36llMFc39X7LpzizQfT88t+jGoXpU7pMppMJHzglppWPq+wMq4eOLc4ivBh0LmdlLamFx7aSJpEy 8TBe+QWM+Z/+6Td08+0NG9BalgqcZFFzCgf/+ORBItqGElCHO+cHY+ICvytz0k0ZfUYhC+a6J1rd 3dPFefCePuKp7mcorDl+nRVTx8diF406kaqTKf7fA3cw4u6hVmLwOP0weWAy4Z1BlQwbLJZEwECx wH//uy/ol7/8NV1fXzGtUDz0P//nv6NzVDTmOochGDy83wQIq0TlUl0rQws50hGy0wGupy82C/rN ck6fzip6NQllsnRIsdHF5lwKVYd8Aju1ehZP7DTPeZzhI7cgjm3wnDEFZlWQykz8Z6Qi6nfuYC9L +8dILb63ZA8G5KWH1IEKNiIRj8EOOYOxTIKxLH3D0NCOJO+Ufq/7voRVlRjwPulxDO+yDJQt0JsN PT4+8fjgNnN/f0+np6dScRu3wWLj/Z+SZqWQD+E1cecowVE+nGmVRUVpwK265ZKLewK3GgMikx6K WG/GN3pddrKWGFWOadgvfZVlJxTIvg5SSXaPeU66EKazCZ0OC3p6XNL7uwe2FqIJw5B6jbqAgVVB EgN4DgsfDpzvff81uyFcOqPEj3/yI67FdwjAZesSS3LqMY/fRVpUbNMvPhQtaLbUTSr6/WZB77YT Om16jju0jaX7QgohNE69bFLkSOYI8UUL4LwkZUylIzsv+nmJWeTYTHjGMes0MCO7vsPLM7luRMXC 7yj0AbAFefNR6KM4G5UeHSjhPhGmtVwWsax0nLFEKn1X6QrfNepGxPizVGdO+17Gm8rvPSzd5T9R ZwFW8IvLczo9O+HD+dlz0Zgg8bf25ElLHcWdiT/7UKajeNMYaHcYsCvp6EJ8LpH9tKTrq3NOABae Kfd5tdTk8lQ8pvgmE4LB9/tnDQekr8PJ2LxXvxZH1YIcGttYuKdEK44tvMPJI4zHYm9QFRA/CcAc JxSkKKgNLRdgECno5CSoEfBTK707O6XZUhf8oSR/WUlNc3gLEV03W1q1Nb3p5vTVZkrfnw40cylo 5PQuZ5PVCstamUfp4IO4PVOL4yZT629JshnHkzynGZ3DcL86h6YqqC2cEueTL29w/Kvprp/Ql5sZ LXcNB5WDub+cbOi87SXc2/ez9n0FfgloAFKWqoV5P/W+WHKV9wfpCtnS4Qhcg1uakMJ9TMj+HGvp frfX608cqjAiwYiAF18/u4oMZiHula2E1lJlTzkafcF3a3H+a/ve76IqBvxjoBVql7kslKW1FgB0 N0bPisoSkz1tA7RVYCYOOYmZWbzoYyTFnPzYjFyZWcKLtIx7nLlivLVNy8wZNeLgJ4WkhJCkmEk5 MH2+AE1ccVBrsU3GchSz8uBCUJ2VLKNlqaqKJg3RC9ry/Q99S79aLWhaDXTWAKDv6KTdOZ8sqzqE BSjvkEgHroEH66YrnCH4a0Wr1dJnhgCTk0rgkvPLjiXvnsGfDlI8XJUdIIEd+BAuZsTeuhlXxLHr fTO09AYZXLcTpguYFNxD+qGi+37C0hZolb5pcHsHBibQBLgkDq9xJhLvbytd6eEJDFOTSJYko5R2 tu3bv2MSH7Q6MKmHh0feuyhAgXVrqxrFxo5Ctgb5PZa0SgQ4LBGlLfaxiQcTNtEY6Jg9zV0HXXfS NlRPp/TQSYFM5GNqOYTH9n0Eg8iei3tyyTKWRK3KUSXXmOXLDwuWzYxaTlVUC5s4SUbibHhOMvGc O2oxZwb17bc3Ii5PWv4MDArMDAYRLSxh50HVxUPzV2ZkRqLyAcsBZyq1RdPT9+oV9UNNm6GiZd/Q 466h+35G026gV1NJtZyq1e6N5ofmth+co670Y/n4QL//51/xuO8f7uizz35MDw/v+WT+3qc/osWJ GCbCmJLT3hT9OL6ZNRKt26Dzc0Fbn/1C/fJ2jGNuqaHHvqW3nUgSn0w2nKpnAquoywL/bTdlxqXa iTY7b5hzjBvuKFYtTK/L5xoGIDCogItptMGYGldqHwL0o2neuW47cCQKtAFUghIpH4VRxlR0N96n Tpz9cMqBe5VSEpeI8KHSVr7JLQHG9GCpgRikvXhPQJREnqur6wsOW8Gd8B3bKpDr3xvi9/QE0VOu dBL5VM3G36pEg3yD5idJiqfkqopTn7BYnCXRYlsCs4WgaowZlhMwKmwIqHbIRIF8UsCn0uKg1r/t Q+cspo9jdC542vsYSfb4gGMVGq4BJtNQT9O6otNmR1e7DRdmfbud0q+XM/relOj5ZOMNFX7zGygC 6iBLWVxMxKXtIaLb23c0my9Y6mxQxbmpuUI4T7VnGDGzyubyD2g8T/EHom5xWm5IUTVtdjWtdi09 7Wpa7mrqhprg5wsmBQPFvEKptLBe8N0Wa5/rP+bHbGUkKWx2pJS2Ula5Sfyr0k6MHIILauGWQxhz jvmVr02FDvytUAU0AUiFwOAkzje2SO5jguwbrR7im2GgU8YNxtWEkqp43Emdm6v3t1zCS0/H25v3 oSCBk94gUawR31aL/054lr68NKZEkjF3eXXS3+eWTzaEsCnGyBHoZKUwpYkzg6tnul7vThgsSHHq XDMDmM6mfKLiROJioZql4qhWlmb3t1jV9YHpLvsCP4eB+PAOv1aCwuQPjLpGXFhH9UTyw7/ZTuly 0tMkoqNJguUYmLqKcOAzDfSbX/+KXrx8zWqgzon4EMqb4V4SLGixeuF7mqhr4+MvHVBOqjYWZmbi w47u+5a+3MxpgnJzII+7HzUez5qOmRV81MDMJYU10fu+oZstqFDRw66h07qns7qjkyak2U73D9R+ /MMhlkpZYQYk/38wDjgjkOsrM7AjGZV/6pFrhwsBPy4Za4ZmMJk21LZzmk2mxSymdo+n729nAGHd JfedC0T1iyXmerGUdFRfTUcOXzcmdcVNroF5HtOACeIMopF4L4P20lWidmbvK2qKVuS3vkclhhQz 4/2MoDwuFX39/Z5ZihiNgqqI4UOdNraYQA0285NKn+G5sXRVPsFiZmRplD6HP4fUwpEdJrohpbE3 50cPDFsc4xwGOql7etmu2dEUG/XlZO3ep0C7YkKKdQLDEskKmw7m7sXihDOX2gwV6bqLp8NKz3bc cX/LKqpeVzgM3cAli2dNv9sI8/h0umYgne9wBqBai3a4LLD6DKjGwwQZXCdOKqv53k+qDUthaFAT 0YQK0lEwrO0G6XxypsXsquCyw8wfbjbsypJOVRkoL31f+pvvcz5/q/VaigBfnJFAi3LIxjGklhHG EmSkEmqJJt2QOsAUsCxbOI5rJdAtHfy+prq/lsGGOHnvzPlS2TfeNNFYolOl9J4Yv5DFnqpzBoBP wnksaOsls2HMShNLcnlP4ufw7xUxqA7MZr6Ysf+NZ1TuZXzIOFV+lCkfSeuoP3sAafbeZ0dSQ7xA aX9QCIRmsYhgkVZL4qxC1Z2eln1FQ2utgIq3xetPcpHJ99fXz6QUWpQ9M85JZiXboM7bubKB1EaT 8MNKD4RYTbbqMDOBqmaG89g39JPFkpkyG9+MpB7GFx8qE9rRRYPqRLAODqwyv9lM6alvuMjHedvx XetdTbO652dXKmVNJx7LihlBfIh62rCoOzbDe9bDEWuI8eWnJ84ye3Z6whZqgWgd7MGPgIAUQxhl rS30PSTwG4iQqmiNVMIsdY0Hiqad3s+8jmN0lpvaS+BEhoyWL148d6BcTbe3t6y346TVcuWSQkbe A6mxwybeIUzFMptS05VpLwinp97L2tkRGRX83dELDzN3OWn1PWED4e/tRvynEDrDjMJhXPBZgdEB oRqMXdiuH7HASipq2idlBLlkqeWNgyeSAPFhI4b3GBr4MKeQORTzig0dqVhxR8IhhF92ohpiA7DJ WzEv4xqi82VmRB8VDBvRsMXx1B50qpKPY3NyPEYSOCQgqtnL//lkSxfNNjCraC7MAZvsMTAq1H/8 ZLpGnV96u53Rbd+yoWK2nbCKqVLWZbOlqwmMFr3U8Ot27OZwcnpiDhz0EZxJJDSFG2SqyjBCCfIJ Uu7IujfXow9QARcnc3Zyxms0gWCAXpRu40HR6buclVCIPqsregKWBR8PxIQ50DtlOn+sVmSG5k8s yt/97nd0e/ue1qs1ffnll3R2dk73D/d0dnpGXb/lEAWYR3/285/xxmWAF4wX6q1/j4xx//tjicqq A2HDWeZmHPv8xUFEj1WGo/VnuZ5BbWEI8ELHRJ8shFn5sbjOMT7wtKTlck1nZwvGtiS2cPQlbkxW RcilsGCUkHsylcpLDJqMLx93pB57/csYdMybsdomHBISM0eRHoFXCQIkqk2QZpRkyiyDZKXSHIlD pjPeCF4kTvEiZbjxAccdkEtNPxHGASDcxWAzUI7nbHYVMw+UNgMWFROvprdbcUd4PV3z+2Ls1nNM P/oxBgB/tdfTDZ01O5aoeh6/Avw1PfU1fdXP6KafsIvI8xbOpL1gWacn0bMgguz8vLpMKobJqBYj YxeXEUkLHqttYwKM/Q6HKNxtYLGGF75AHMaNwo6ZVeV4zdg1GP2O+bM3A3ib12JlW1FNU7YgSwqL MTD5kGooazrftJ417OGm+G4+X9DT05d8ejw8ICHfnOPcEAC8ulvSjCvDmkVjIjSMhj3Suw/3vLdS lnVDtepgGNMhaTKXbKzbANfq23as9vpwIyMUIe0znOzu7u7ZlwVWGLakTCTRn/pfRcSJ6FyYF10w RhDRz0vzEzFzl5VUcr1rWl23MTVxq6qMTtKS/wlI7oRH/0yLGeIfq8I+ZtrQMFKz5CeYz6qHL1PL G5tLvDqXAaxH2JQn9Y5/dgTLXSNMwTEExphoYJyJ8SfWgGERFcvfeqjptp/Qp9MVXTSI35Sx3fUt rXYN/WC2YkBd+mOlvcNpi/RSjBdg+7zecvjZ4L4DgA9FEO4h6AOwLqiMRDN6Wa04eDmXkDTm12Ue jXLqS+sfBtp+QdRe76i6gEEkFAgpqW2pNoTrcHjiEAWzYsmqAKbb5agVqpB/S6ay5GISJIeQR8KJ /i0rmj31KDzaE02Rf8mZQK0I+0GN6RVvjmPkDrznxYsXUmVlMmFLEOLfQAww0dcbsTpAwsI1urgx NZAWYflEbvMmIZrFD+z4U52qpKKG58i1CWoUjW7fiRRTIcmS6RYUxGq0uQs30k2hfYPv1WJRM0OD Sgis6+bmlj8H88J9DHS6hIiGrSZ9GBuf7WOh+dQ07iR0FkMdhsUCw6YNjrZ82nNmCziABulKp8Nx NR8ugivUouWxMcNMsanBLCD99Lugqp3BOZWfLZ+AMeG6Vd9EITCQaPA7GBS7+rjfRaFyEqOjFxji bTehrzYzGiYVO3sCs1oODb2YoPTZ1hxlJXVn5DAz8+vIKP2x11fyY1Ht2KkUfXnftXTTTeiE62zC iXjNGoedSm9ogLwlnDua86rZUn3m9hBLYrCsBGFl37bHNQikh2QFv0jWdgqe9vZ6/VyNZKxcGEIk ykSc012Dc/EtNji4+2M/sAlWB5RLA4nINtJ07aUDzk+afHMASHz+4jn7blxeXtLVNeKKXBHQ0yD1 pX2Y1DVtOjHlWhxrtJuR2Bt9MbJpdSPGEomdCMEGk4ky79LrMmtLJVHq224rEeoTZJ7IOuzvA37H BWJnU2onyNiw44Vze3snyxP1GNmhNPHRynuWA7NewrEdCHKAWvNEXY2fHTMopZm73wlGjF8hlfKw prthQcuhpxmqD/nrwiGjxgVs3y0Bv0SWjor9nEQ6wuaWRIInTU8t7RgeEN8dXb84yODjBKlLMGcF /yFV1ZELRlBZrBytNJnXPb3vJvSumzj1keiamZWrzGTmKQvcL6zD1DKXfpY2fKrjxz9IiXfVgl7N VvT4uOSDRDPu+oPDxc/iAPTZRGDM2nW02wzUXEuZPO4uHyZbVg1FLZeDwr8/iukUyz1rRYAvxiTI UYNT7PtZMvwx3GPVExEoZGIlfknWTFy84LtYDMundN75mDnoZMEqePf+js7OoObYPD3j+Jqe4oGw KaWP7fvYokmJGQOq/t3uv+p/FO6z/cwbAlo5KR7HVJXVtjAcocHEqYJYqOJkm/IAACAASURBVIJt rehpuWJLTXP/QFdXF2xqRl3DnAGF35XPxpa2UeI4XjDumzbeZOPAofRk2NJqmNJX6ymvvXmzY0uZ l0ChivHmhLoHo4r8PRjpCA6psDbid3YZcLRSSU/hCfiATTjxoGxWS9eygYlCQkuP2QkwPpls6GmH nFI4JHcJs8rb3oN9BBsK1ApttRMJ73HXMi2edg3/vNvN6LQ9pwU98rzj4AKuiXUk6yZkwh26Tg4E DihHMRPNrRiqRIHCu6eKqpOKKrZvBKZi16FW79ZQsFIrhXCVtJCx3zERXsIKklZYZ9Wwo1WHbA7k rW+Qvor6qO1YZppM/97XYkaIf8CuIGVowG64zgKYhgiSfNeVoFed2BCBx7avMlsutueL2TBWuSD5 LiG8wbuEKTiVqNAJSFd8Oi6kSvWxTZk4blksGpa8VqsNL1oUjLj59r1TpYjN389fXBVwqdA/3/es jzFd/Fj35vcq0NBNH0uA1UAvhg099A2D2ptdQzuc7KwS6YEguBIY3BxZUx3uBVeAeYPPRJXz527U /0S9d+9WC2g44BIl39eDtOtMNgTeDchkUm9j3+LivHwYVlpqgzv6wJigfgJ7g6sDPoUbBTCt5QAg /oQu25bOmhW13UpiTFdrhggQe4ie7lY9UdMzk+KdAN41lUEwg5obFwydANsXz7iEmIgJlAN2Vhi/ HGiSnjloc1bw0WPJ08uRO8LOIGHl0o+I9xjJvEG6C6kUzB5fhkkEyKfgMHaM1HLMBAFHQ3DvesPg cggi9Ve468r3AodLU2SEO8PKTS0S8bMPMS2Vn6yalE5EkKpCd8L1ab+xuHBKwQI6RpdjGhYQmDzU gsW24zAmnKAP90/08PjI84w4Ls3gMGYIGOuDD3PyoOh4BoxDDalN5qhdWPWMP+0aFL11ufNZ7Qwq Nlv5jMrKGNNeXDU9GJzUFZ0zBSnd3Yvlr9hoSFZp6HSAWcnBtL/wg7221H+0fqgZn+OMDjTQNXvK C/YH9RdOpsj6sN41dEszGpqGppMZUb2hyfaJhvWGD0OEctWbgfp2R/TYcIaGaraTusIFZahCEEHu 5ucbsCtkBYEBTDUgGU96YLj/Jp4H+rXKyzyjVaIeDpFKGFuD5CEVTSCuDzt6HHCSANdyj1cxzCR5 ++ANdcTCho4NB1F4M+cWr7Gm7z60iNNbrDpX6K4D4MfVo0TqMBafsBB1xgP+lTJEjhF0uJTkNN+P dh5DEzwHKaPbVtLQLJ/W3A1IXNst/HeEOUJ10KSAh+YxqLjyV0yDkUOipFazf0HY9FjubQtVMYSi 2OiF8OgolUaC/yhtUuw1V31VQrD3Req8/cxEIegz0qSPdq7981yRWJ8qJ7HO+R6M693u2QMD8PMa lsMdTStRPzEGYHaIEgA2h2WDuMxZtWOc7m44pfvJgib9kqbdkjYPS2qBc973RL9d0PTnG2q+mdLJ D2vava9p+9uGZr/oxG1rPlANIBtFc29rqhc7ZmA8LBQqQQzj45NkyZiFNEWHeIBNK+R3nsX5DG7l QQGpmpOYpiMiOfMnOgtXBwdqKigfSVvfWewtYwaSyhdiZkUnp8Fz1w9yZJ8GO474lW3gZIjk9Qy8 q+ManhHUyTjdTKZLFLGpQ5JIooCae8bv5ZS3qxUzD4Dn+wx0h1oJG4AkhQZ/LUhdWtDi4X7DriGv X79khoncSnDK3csMzUa3oPoYf93P/ILKLOC91ii0TM1tdkuQTNq2Pk/2c7m4JMGEtb+/iQQqpndV VYrStlbh1uB5V0VbO8X5zzwztXfHTDUHJUQRPak63pCWDniOBFJ3tB629L5vGce7qJH1ldjl4U0/ p0k1pdnkhNrtI01oRSdtRxMo2Dc1LX890O56SfVmQv3dnKq7nmhXUb2pqDnvGb/qNwjjwX6CRNWJ 5uVogQgMgS/CYWyGnR3MH9r0GZFKmD3IWRPmLuocKtYWXLWqadZKDZx0HX4IGF8GsmXRYfPCp+P6 6qIMZhc3hjoyympoHPbQDztq4OdhdO54KTgaFOhYVhRSprUvP3v6WUk9DONl8JxdNCQuDNfLYhj3 SJZxxe8J2GQ6RyKlILsF1Gw45CLWC6ckNtv79/e03myZmZ2dnWS+OmNUAcgPHAPgLqxEh7mtmVPj O1e2LoU7Iiww4BIGDywdELGP1ti6jGilS8L4HwZ8L5HcIsuekYpNrjAF7hW030sVK7mmnuWDqE7+ mDX0mtYDXbMRoGZ3i4da3DbgwoEnsDWRZpJP7GFJp9TR9U/OaPKmpd1qQ91mR/1mRdXznvptT9un jrrPK6peb2l2NqO2n1EN4dyl58KhhjRGkhhSa2Lud39IMepS22dNdBlHs1vM8yX40iUipG0/0GoY aOKkLStS/6FNJR+cSgg7waaBmDnWythVzJSg1vbKtLxUaBdi8pDsiC6wrGjRWya6PzWGe4F/L9wP wKig/yMECVIlQhlULXtartlx9ArGjiYHM49t+SYNGILEJ07p9HTB1ljgG0/LJVU0Fx8p9T3akwmC Vdn1mh4eRDWYL+Jdf1jqDm4O8qqS/46qCOEWC3R7ZhGNMW2HDtCgVYRn5OmNPCbl0jaboXpszMO9 UT+M3F3ois9db8auKnE2rsHIZE5NZRcHFyy9Bjy1a8XKR0jpA2dScXhF+M7tl7+lm6Gn2/NHOgUi Nn+iy7uBll/2VM+Aoz5QDcPHe0iVHW2/3NLLZ6/o5Wv4RU5cAH5IDDlm2TtGmDrkFhXGDUfeKD4o DwL1F0t6TJ+mFL+BEeDyo1KoJy1IJPGixkd9Lx6z19eXevVBFSwMyva75rirFTzG2W6w/3SLjvJ9 SGp0i2RN9D1wG1tS1oZNBMakOj9+9zT3sXWSthh+ZxawF0ATlqAyw7Kq+D4JLywKe70gqYwNoMpQ M9DVFVKVSG58xeLcDBU2YGia4UPGduxBZqX7cP3o4k2lyOg5+bNjS2EBesjujDPu5ptRHV2dVI39 oLUnbVhJFog+xrizt/sKQXE/Y+l/sJ13kiXcVAG6gzldND09a8VxVeVAdn3oJWfclra0oi0zteXT PS2RZ+wFUdtV9IhQnJbo/eOars4WVH8COrT0dPtANNnR/GTKTtqjdE0O8nQk6TotLdmyEUya8Ugs O7h5EoFfoaLFDmZzON/tOMAYD5w6d4djm4re6eJQAqC+HppKGuIwOF4oo9Rfb/GC3lthwgbO9Ags a1Sty7CsIJGNMUv0CVY3JIzrtqgT2NDd3R0zAK4T6Ba4LHRNiSyPhRgNT31NC5uqX8y8lmtmWhLs u1/KKU2yfO7eWaBT+gxYilDZWYTAEEaizFUjFlI/HAnDeGCHRYkhEwY7bvVy0ot+sofJOXmwMOgy AyhCBQmuwnMydo1j7F4K17XKHQnzx3zEVfsJzplGVXTPtbgqrIxC2xD8nUFhpv+WzoOhh71c1hfy bO3Y+1089cM18FdDni34piEF867d0fzffEY364rW7SmnmH5+0tLLaU9fvZrSZmjobPkZTSaIGJFn TZ5vaHp+QrtmGorgaqpss+6s9dh/x2MKUr0dmz0k9mko2rhqjkpWeurrZk/BMnyGjc8VU1ycOtTZ xqmHh6SgwKjGO4SNyZkTz06CFSgKxB0XIa0UETKVirWT4/I0u2LSzdyKp2PRNuztL7L1Xpxf0m9+ 8xv6yU9+Qt988y2H1ciJKTm9YbaHCD1ra8+cwiIvN/Zyb5ecrQFq4xTBnWMtKjcV+xalGFB68o/S NGFKPA+apC8J1wAmhrQmd3cPjL2NFbbIun3MtyOm2fI6GFH1D77HquyOli6zaqQi+jNsbJ+ExWWP Qi894j5bu9DjXZq80d0VPTvvcYW7TSZz4FeajYENFIlGCqYF6QuSFk6lqxcvadhOWWl63F3T63bJ YT6rbkHfdFOu1L1ldxM44QJSqemWtawtXe3Emx9rOjCcsI78OBO8zjMmvc4voPigzfdiuDdySbUp ZbIJB32amiao2svhD1IeHXFLFhtKXxB/ViC8sTaiAUdBHBTK/NgF4PvlBllyCdjnw4LUvKsepZQG dtHYryDYDa3cX7JsQmJCbipWfdjDF4tE+vb27Vv6xS9+ztIgpCY4uypjUitTKEt1eDPD3QBgO7zV F+u5S6Ez3sxy8OOIsAUzTplr+TTzPbNUsUVKjLuGdzVQnlJL2Skw477rfTrjcjtOSh5ruUU6fZ7V BR2fMSc+VGwpagH6ijU2Kibqb3V08hqAVakNvaKuhueY0gDZvb5ugtNovPpppc8EnqkiCTTJAuGr TbuvwWxdWBFkOmRzwJ2IEggrYeB8+ydI01MN9LBrOagaQd74H75Dgxc9GB5SKyK9M5xWP5kiB33H zEzl31i00b45pqYrLzlMPOfI9kMMdej+dtkaFCzUhZyKZoF7nkxCGOZyO3BGhxTDOta1IWNWu8FZ qOCDZKSJaIEewKEi8X+IMBZMCtTCvtJYtaxH/hnoCxY1JDNsPqnKIpkb5W9HI3hft7DoPXGg9v39 A83nE5ePKKRCyfX2RPaPaBJ+r31lnDVXeR7DrHL1RlwDSu4N0cwW5jn/Lj4YXAfkB+M4mLyK3THw NfIg8efHO+knfT98+I31ufwoWWd6cr9//56Lc4JZTbhCt3wOBoa5hTp7dX3FVWTC8A0jSxhlkFxt t6yk7hwfE5VeK+tYOSweU6o+HTr81e3CmurkkJlQT88aFMWAOifMbl51HFlw3uzonoPGJ7Td1XTa dOycCsdU+HvB4ggmhQbGhYwUw0b2IZgWa1eJWmibl6jwz9GavXH1syPgDV3HXOYrFb3GxFD/QPcT khUkjk1fc5CpTVQ21vl9DQwC+Z8uL1S6KreU67oPDV5gT0HtMZhr7QB4RNcHqZAZESx2OwHGNW4M n2EBM4PCgoaZGEHG05lPUQzJQuL2Huj582uu1nJ5deFVWbF4jZ2yYxJhOM2hZqEIqlqPrHm+3GJG XTLn63kYJWkszNde3ylXQNVmrIRUCSkQvl3IQQ9a/XFbzMxyFTfgYH7BGzVZxkQcl/ru3Tt6fJSU PIKR1pxrDWvg5YsXdP3sGdNDmdk+epSDvIxXnxA3YDxJH4v3HKRD2szh4iXCgPtKoHOc5A2OpZNG srdeNQNdUs/SFUKefrtZMNMCLsYZLTiUTN6B8Kd7MLANDDNIcy3e9uyjGUmoLt7TnV265SKIolDf MPeVG2K3BumMWbAOHLYifcnCMW8b2kCF63oasIGNqHUIb0obA/pbBGDu2OM6nopQ9SZX21zcm85D Sbq0YCyrBKLOaYpfVvOYWYnkJMwJaVtamk7nwpxcNoKUqGx0YNXthBf/opVqtbGZPdBXTlWZYI+z ZeQJ98JaByYANesgjlUY8zFXWMk6bWOHl19g9gSkinOVMTbnC64e7mnq8hHDZiVFw/Xe5YXPR+vm SWso+mukT4icgKp9fz9n5sqS1nRKF+fnfMBcXFy4OQxPHl/D43T2sXFesnLMbzSEyRh+9kAGg93w pe6oUOcAY00G6amsUc6IO3V7tk1wbFgZEVz9nkN9JCAJGgpWLpgQ/oakVW+IzpEPjCsj7TjzKaQy lCvDEoBPGPy/4FYxd8lj2KLs+ipOF+NrOpW0jEroFp7fQYl1o+DLg8HCeN9xVkdxKp1w3rZU9B0z 6QZQEcwCag9KqIf7HHYUPy25vwSyurGAEUGFg6TkfGd2XU/rXlQ8XezCnBouFVViTpZw6Zg8GNjE BSCZiiYfFBdPQIoOj7aGMXgWHIm/5PsGhgUP+JAKel8zEqepL1k6zZOpKJ5w+8+awJGUQQB8n/VT MUZ0nRx6kYZTxiqCRU4yxZYthuFUUsqpG2m8wY3lzdX1U7kS7eXLF/wZ0vfgp2BZDs/y606D08vz vq+FvFNWchUrcczEgyQdS8Upfez7huS3+LDWDRP2LaABl1TRz0PIj5a6u+gYkdPrqt2yigjP+dXQ UA1LuwPuIXWhMO5t17LvF2drHSpOWgg1EUxsWu3Yy3411Pz7HNY5N0D/Xj5PHGtn3hH3I5XAWgDn Ugq6MCGGVvsmCW4DECORqVQYmeTUOtQCocSKB7D9+YtnkTWxdMLnEJAsLFXfRBTGhhGpCWPkMAIX EAzG0cxmNEPi/hbAeIoZhE1eUsGKlqkoG0Pa2/A8bxQqnI5jRgMYO7amJPn46RsvZn/c+FMqpuWH quzZ2wpezZjHm9s7PhDal8+kwo2DKwKQbPsgn7u/wkFQlDIcQ7VIeiEbR2wQMM8QziaqOsJJ4E/k az5aKag8Fzm9Mg7kP1UGrNpLZOAYpXt5vPbJg+i39hMvTYlVzq1FHqvLKqEHpUIBjq5B3Y21AfwO pBqZKKZNTwtXYkylNb36i82M8S04rOpTANAvNw19WyOZoGgyGvvoKMCaBWfVQD8YWXBjQH+icMJc NWRPMtXhY2A23rxjTQtrQgSEGXTdDxwwDbyIs5eOPkMXm/i1dMjZhBp7yC4JM6QPjswnj2u8cRpY laIGz6CglomKJyotfLngvc3SD9fwE+Kin0zC4t6PmUzKrMLG1xOsMD6xYkSSZPAjC5JrpIqPqGDI 545soiqJHk45U2Zo0vfQ31TcPqaNMTmlB/oHaXMyn3GGWC2awUzCWONSk7enuUp5kICbtGJSSCio +Idnzer64jzlJVGdMj7dgtLRIOBoAHQZO7ETkTPaXDIJnxfGpb/vdclJGXjKhMmreZ5nKxPngSuz zMtn2edaDFgZGKR3VoNBd5+h1hl+rABjVEcwJHaFcA6rwLuAY0nmV7Em4paLFuA+pC5RABGgDdxL mZbuDXWbgaHJ9tPSmz3duYKuSYEhYPE+/MpOB7gkBoWEazVNNggP2NFmLpkom6KvipsM7guyY27p 6e6JTi9nnPy+cu9XD2IMhtU51z1mSp34Jql7gapksPCIWifFRf3JaUMZGIBHqlw4wg6c52tfywkX rH/RdcVPjYTm1IIY39M7xxusplBZpZDqltMi72cyVl32ulHes8IzDklckZHDLfhYuBGDBc9R31PT OhXWmt2VcfkspWn6F10bcRWbdPGqmiUYposhhT+SM4b4fpZHH/0sQxb52DPLaSRmpmu9pGLb+bDY XfwM1RqiMQxyrcIN3NzSrY1JtrQ0grSXS4U8Z/2OjUo47CcN/MkLMFDyGXJxQfoCc1rrP5cCB9lg dZT3XUu/GxbstMqppPF9E0qWZSi1y2Jrae5VQqUROJtIAPC3Ch7mYy3n4EK53TshXf+6Z0D+ZKLi aPYEmRQwDQRewvP/uRCqh1l82FDVtBJ0zYBzRx08NCENctBly1WfxQlTPI21X+nJm7pP6NuFdR0n SeZ9D5PtzqlsbLbJ+vWhsGZRlUJIUh8zkRoQAvT42NJ8rtkjDzXbB50vkVbC9+XnyIGczrEaZazz qNBa4+AgzUoeL6267BUR9YUMjMtJUvJsW7TC0Mx000tR+p1ir07kilW7fUkDHQiduMtkayD5aD/J S9LLSB/M9fnvShcjQNgUzZVdR+47Jz0FyTk+FO3P8rs1kkSk95h9mD5ZSdGB8CdVz5leVY0HjgVV 8cvd3Jciw+cPAN83M640hL9XPYrcBFXR41o++ZjxijX953xYoUchNCflsGMm74hBIM3FC+mAuFPu z1mNCem2Pa27LbVnNa03SHMip3MHTgWitCJdcDoU5z09FqKip7WdCD85rCFIKCgDrqyJql9Hoehg OllmvLE64NCrgwwkPnFTeo6pGHo9xyZeXzItjgvTUU0s0BupY5oWBoZJqLDDfkihXhx+Suwi3BTE 8VUB23AQCEEzRuAstlzYVGPivJNusvgss2BVtxPaak0tvccFGDNYwOOWEvUqiEiMY2lT7pmDoBMm KpOdm3wOYmjAD2b8bQWp8FDj0mX++bqGEQjrKhHZcZi+qGpr5zulR1nS08fJ3kD1mhQyCE0lyFBh PWLMSDZQDawmIt/9Yx8OLPQcWNe3XSt59KHlbKb06UyqYmssqsBTIriU6NgCC0KSWX/6uRpmfp8n +Eo+yVY/HyS1Kn6PyrVZ0Vc2BP/bduzKALCdH7YE5jTlWmZgTlicqs/6J5k+5H2zk1xYHO50VTYj /1Uzc7rwUjXWSmzhbz+BB9v44gljiyU32+De8PS4pLdvv+Xc7EgNk5/i9t7AvPEdpLN/+Id/oOfP n7GPEXyQsDmePXvGzGu73TAjw1x8++23/IxXr16xxIRc+qHyjguEd49PZCLtgHbK/0ixyGwj71x8 Gp9TJoaRQeM2MGlGIMKh6m4YlRSjd4wq7Cnd4rkvMbCx94TnjM1nLKVE39mAdOuNzZLKfolsrC9H NfhpQSVkKKVhy3rp/mg8vh/5dcC2TgzDQq57ZEaFyghPeS3n+s12ynfDqnjG1bExbjmYovHrOxXD koKUUjmjgQpXAJxLEleOPaiwomJ+0LtZ1UOCuuWKCyzg/gnKVMGr+PKCdv1GGNQEJa3EFFteJOWJ CAKSVdFiicBuL2BYS2RPgBewj65PBpK/xTGt8Lcmm4vn196bL9Djm7zPwxUIjXK5hwKIGmMSZelA qmN/9dXXnCL3zdu3fMvN7S3THnSHdzrojrUgea1m9O7tO7q4vKC/+bd/Qycnp8bgoC4IIUzKjo/9 jpxPW+5ikzMOlqwaZVyuCg8svayqCI6JsYfxhO0ibjj6+Rh+UzgctC+ejmkfS21czdvHrNJHWzVa pBS3/lwgtdVyDhq9qnI/7Nj3MS/9Dur7AOHFFE499N6x56N4yKISBiSFZ2t2g0BSQeBdmncf6uPX myn7c31/uuZK2TzvHL7Gb8ne2UKCYXC0EXQ+tVKVRDOPJUQqWLgOaWfwMjkJ5Vo46D0+PPI9V1dX rNogV3ddIRt1T3UzdQtODQA5cUoE02ENyUKOWqQZykaQTBOSKuc4/Cq9rjI/cxA+3iTHMKuSBKDb Sr6DTxYey/GLagWzQeF6l5+j0GuolP/pP/0de6CLM2VFn/3gMylEu9sxg8I6AIPgsJVaLKxwqJQi rgEf8f31fEp+sX1RunAIk9uIYZx7qOys1YylJtaueB04nCPbrPFhoUwsg7GioyD0K1cNrS+WlVzj A3Afo7LYm0qKqq6zJBFV77F0UknVvjtuh9TM2EhQfgaaSK+xJ376nBJzKo0XI4Gj6KLfcegP3ooC GasKxq4dS1RaXQj2ReTxv3b5uhQuUPXfvhtNrIS1WN4mrTCNY3TtdCCBI8j2QsI8Ni0TwLYtZ7RE ZkKkLvHgGhYkTKmMp4BZHj5RYqIH5S70RR0Pxd/DqxdOzcXVcBwFUjBDgPLYQViiAT84nfQyqG8o dDQN7dyXMA9O27Jae5Xah744EDlfjrqpkcqmpU9efyLRNAb/0rmzG/Xly5cH6BGrnAFDsd+nG9hu 8rwdkhLy30vxkTG9YvLpOAP3SjegpUHpvfAxUww1pFYR/A9qKz6Hz5+memYXARM90g8Sy8fFYFmS KbmnHL/30jYmTZXnrnCPZus90A5JbXgErIeLWmIV0UTTr+is2dH3pls6b8RpVy3ufg/IC4SGBRcf 5ziKCiUh60C2GBIwr0yI0FuoWHAihZUQyARM8XiGMit9Jg8Ek5h4ZHMPChacMnYWLFRpf6IB+3uE wXG6lz2Tklobw4tzdc+fDMn94zTSe/WaHDOIVXAntrMFh9g4wX4zrkJJnAKFEtUtlw4CXcLfY30t 0sH8tAzEMzE5MQSYLebf38fg8+tK/UsNH2X/plSFz8eY4rOeHp6k8n6oycjGAUdjCe0RFwBIo4jQ ePnqJavNv/zlL+n87JwjEhbzE85/rpICniHSKnFwvEZUlJqnuSf78WpauY1LV8e2/X0ViVXFB9SH hBT1rVML5XupHwlAXqVO3IowKb9m3T5HGqhUy2IMi7/YiSoQqRcFEfBYSwcegmBoSFhL1ETbbuly IaWr7TWwevT91qgMjgGMZo0IBFJQVOayyhhUuDd+Ln6TAhpIvxGbhyP4ONqI6aa0fSmpIse0MImy 2VIJxf70JGMmBRzw5uaOXr56wZkiQn9tbiLtUyzZBIwrPmXDd6UwLHt9eqjpPYYBO8IE9d7kRjoS DD4EWJcY+jiVFdNMWzKvxsM+WMCEjtBAEDQNYwWYFDA/ZN4EHgsj0e9//3v6u//t7+jL339JL//9 C/ov/+X/pE8/+4z9BcHgcN/bt9+wIQMGjv/17/4jXVxcJmu8oDZ/AJ60v5WvOXpPH1B73RduyYn0 iTAdgO2QsrBKoQq+nq65JJmu1zjxoTBwZAYeOHwu1gYYw/KgKUJrtlvGLPZ1uDTAXJqQLJ/bfsf5 wZFDSwoTmIE7f6qxCVGmlOIIqvaFzRFnrXQ9Cn87IAf3wLt9s5O4R9RcTIqHj467pAJaCUW09rIz 6f4FYQN6ctyudB9SzMBQwQYK7xObqtJGDdZSVAYPsuMdk55z/CbcY5mrZ7hKjaCf6wS4Uk0mqVxK hZH1NLrJlBUfIe2n2RzCO3J1Q5kVmt1IfLI3DV1dXdLp6Qk9f/Gc/4Y19Yc//AFbVoHLAnP74Y9+ SI+PT/STv/4JnZ2e0sYxNlhnv/rqK77/7PyVSzOcZir4rlLQkEi/qcobqRnxnQc0gPI6iK+LrwkB 3EhPjhjCRV0xoI5/HCjtfdVslEgSuwtXB7dD7d53wc/OJd5ZCA4BiLaVJDEkucckPqBeGVzzL1H5 Jr4HHWR9P5qolOi23JM1hcdcOe5L0jcjViNIu20qOneq1Vg7NIkWeM6ZQK7upDRNpbf8daYKj4gr /mnwjUJK5pubW7q8vKDnL64zcVx/twvD+60cAF8tDayVN5Uu9dDpq4qjBRCSIcncwpjlOmCKQQI+ vuX+boFegQEHDET7ldPc0jWz5pnDzeNbLpOBxeJQuejTTz/l33dur/zwhz/SrjKN8dlf/fjHfA8M GqICAtsS5+mXr16xP6GUcg9S9TiDHpeK0OJ1pK287o5tluYliTuj0CkzFwAAIABJREFUXxLBgl9h /UOw9LvtlB52Db2cbOlH82VmIImfET+H1Wh2Zle8T97bSrHOioZ6x86a6rgWLAaWISTWFncNTOVa oRnYCj6Hrj+Zz6meTvmfMhlxoYDFq+X3GcUoWpR2AuJ+pJutfHpEi8BvJHDtSBlLTqMcj7JSY8QU jHOm4h+xF3l6/zHNxMrpM0N2L7+I4KsG/yjOGw+c0OR8dlvaEsIw8pxRpeqW7X/5nlj1Q34xWFrV eBFZmPjdJkNFYd7GpSsrOdprYgkiValCsHEqGSbrwxfLCnRVysUwgdwvHvnCtBV0FyfWcRVJyrY7 KbMiOjvVtN8xnT5EwqqK2Gj5oEzupA9tJcm7/NxYpQM/QZYGZHno2L/O5kWPk2uWJN0wKk0nDdrX ppCqsyZB+oDOzV+wBSowLSUUGBIYFLJgQoUE8AgTOMpxoY5d8I7WIOMdxxYCiJeNGBLY5znN1amz QAQzKRZUjhnauGSItmga3mCbakczl7OqLE0WsIQkXCGcQoG86Vvt6WTVGAvw5kJAir3lQRLwVkcD /dUAEbOdErMK7wz9T1u6gSzTyA8E0BJwsqQUsnQLz/NJCmOQLh104dA6JlNCYJ2SW0zvs7FoY2+0 p30aZyfzwk7V0XyEWmT8GS/CEFoUbb5MTTciZkKLMaqMCQ5Z8ySL31eWwPa30rpItaiyKh7mD6og Ap6RS2vF0nfhmf7+bBC+wc0K6cg5cJ2FgUar5oTc1cCVcBFu5hxV6xW7JYBBIZYPTAbSE5LsoVCE zQEVb2B5PQpAQGXYDvC3cPF+UBt3XTG8xKo16tAaFkwgYBhkPOB986oOa5LiIl7M1uAwjp2kMVb4 PfjPOIWxeH/kIOirB5gwBy+FlPZ2zDjhUzWbTlwqHfM8l/5D71V/n+hJBTUpU/UiGcOG1sg8VO4g 4oPNxEfmzUk77Is14seji9bzAjv4OFjXMy3LGRKVPDI66DXea16l1/B8G3bkDzBYzCWZmbdcBc9r u/asddfQzVbksePxl8TrOSadYQZ6f0rVIV6DQfYraQbfrZWgnsMtvPN9N+FUM4gV9DvEzquSI7JY F/rBySAFpIczElfNUTVgu96y9ATLh2RI0LS3UzrnLIyaO0hebiWvMQJhQSMf4eOmp3mDJF5I8yLx aYdoGjZ4lahcuYoQb/KyaAyJgFWq0UnYz/Cs0lX6JsKesrGUVUZ/t9u5IYGifhj1zj+LnXyLo1TM Tr2m3adFB0j7jnTjj1MBGAWcg3EYibA3TjTZ6HpCjlxn9rPddulJrutNA6azBxg1wz6PeZf7JO2D 4rfK7P3zXNVzv/rSbCMu44RK+kEC9HEi6YnoOxYdCZ7xjpJwL9MYJJ+Jsy0JrXNp97CqGb8vf++H 4WFSuPU5bdlhNC75MnJAOiZvtS6v/eAzCFFIXfT+/R1LT0gJwpk3Jy2dwM8ETIWrv0icoUo5dgMc O3rULWSvZ3cL8manBIk6rxKJz6aQqn35hhI9WaldEkEhDUhO96duy+mdT7DbskvL9+s3SvIyT0mr BFsHQ/v5yNMLn3tMK/ncO8hGmwxwnS4AoSdvOtfhEl7gcTv3RwkbwWdbxIACBOWPd1yuDDUe92p6 9h2RKm/m3pGb+6pqVjp+ziJiCB6B45Ym0mdfwdmNIVWLhUk5sN5teV11ouqZ7Jx+82hnzaBc6iOb GtxLhBFhQtl6WKm5iAPVNGt2Ui6r+jAJZzcgMSWgG4S5uMITnlWKx7iegszkx6SXPRb/D2vhqFFa IisDKvQgftCOL6juyQYyLkalfol62EGAamh+ee7N5N6q5IFGTEjqYqkn2X7pyr+MmZaatita930x B1Xa0bSGnrUApQO2qmTg4uEa/IYNdoKyZCxpSSLAWFzdz6wi1Uj0lwifsv0RVS+XBKy/UrHppvMn nTmVU4uShubIC4M0wZ85FWcnwLB5eHbCeYp5gFPmCao8XEBwmIF2kKjwGpibXUTJKMSrz9afkpit LkrG2n2rUkdFOv13h94Yjy30I0ggPp2NZ1XW+uw2dwFyKEsY4TB1vtzmKztWuQ/M6vPVCd32E460 ALYDX6VX0y1dNVvGftJ78hNhoG23pNX2gSbNjGbTM8MozLyag11GFUMr6XiOYVRWivTrklU1pEeu OTFfA3y4xicDLXcIg5MwnfCMmK5WEAkqcH5oKdNqkVPKqnbmSYk4PDZRpcHGKhufno7bA8uCe8H8 IIEMizCnReoT4gfrT1XLrHKTrFcyuU/hTdrvMYtNypBKzDJgRnYXxhMc/0w3hHIN81IjiMTYCz6T MA8wFHGGVTrp8EVdkPi8INmkG0//4qKandazgzpf8ybCAcZYlW7s74CT8K2AGXze7tK9rBQUPjN/ qaQTCTuxR7+Xnjig36piIpUF4e54aWJsrOnhGUtzoa37iv55c0Lv+qkUM3XpVja7irGey6al19MN l9iyRYlLx9vAoW8d1Zww2BVxiC60crcwYAl1STG8D23xLgBN7ruavt7O6XGY8PrB58CtwLiQrQEF XrdJPRKW2PsVM92gSbk9RDXNJ2fUNrOCWspZjGOO6/cY5yaKXRFKk2HO/71DlXpo7KTFliVk+5wl oHsunsZWxNKiCUnOQm8C48kJrv5DnEY32zfHb8BkdE49CD5Bsa9YakUrcCTzLDHnlhPa22fqKapB wrHFxgHeeJaTlK1a7yUpF1v4hOytmBNUpo4YU6nIQ07XvTiWey9LOuy9vB8rjKlhnT/jg1DfzZYk zXDAu0aOJVj5eN06nM1KT8EPK4xAPji8lot99GXb8hi4ZV/T5+sFvTfMShvYDarSvBsmnIkTtQCv kW6lEVUxO1wG87uni8ThImrFfhvTyfXUqmeRVFiQTJM/rISraw8qH/oNpqu9QUYG0WAqWg8D/XZ1 Qs/aDRe2QIyh4oHbfu36EFIENRWkzzJk9NiBRbM1DhMrC8laWUREdqBkVA1HTbkmYNGSMR2pNwPV nLcdj4MXPAD4SCJJTssPt3SEiiEp8CgnQsBq/MLyalGuBkQMPDlFQ/90kQYGBf7ABYUTCTT3Jwtj ts1n7LJMqwRAuauFCWcf+4Bv/4EWZwBwvhvY5CzSmVTynraIsYw970tqQMo8SjiWZazKhAVTU/d8 dyg6v6mxZtmKzgNnxvWMQhiU98nS+DxdcpH2EFQifbpuP52HmEGONzCe911D66FhdQhOs1zKqkaq cLXeEj32Nf1mtaD73cTH1JVa73yXwAC+7SYc0oJqzc8mW5rz82Imq2qe/C9U6fFtD0ju3W0Mwxq3 1Ok7nQejOTsgNbLrwsClIfzVPDtDGBdCc9a7Gd33Lb2cbpgpC1aoWsD+fY4c8V9vJvRmM6P2bisi 6IJL8Dj1zRb/NCltA6iZPtJiIvkLQ34fOfFQbBFi4lOHQEhbF5E+uOWSRcGiE52gYrnERgU+421t gZvF9xUGlEqjacUVoVHI4hnuC8/cK7FYfqCEiTJ3hgOF6lCVOnMTcUwr8h8j5CSS8koITxIJq2I6 KL6gjCruYrzRUzqU6WVUc0cAz3udU2CKF8X58uWzlEH57JRy7PvDSX2jZDOOVTFKWySyuFzpYypr YFZvNhP6aitpgFWpAdPicBQkrKsAOle8SVGMQV2kD/WEy2UhFcuu5o0O6QWSCYKJey2yLXp12vv4 WQcO+3ye8t4EBmmAcncp8M2vuznd9tO9jFj7iNqEt31Fy1VNd21Ll7Xkviq/OxwyXNR1NaW32zlj ZO2C1YGO1ih7xGTVh8QxQlq2u+S8t/9AUgkEoTg9XwcL5LwShrHsB1o4M0LYm3FIwLHgvmde5rRI 8Q0yvmHLbc+LH39DoN30UltR9xBUo5kplCDPC0RNuXNIyKaWrfBNcGn4ANzEn26xWJ+qHUIjEySq vWU3CX0YfkcWDfl+2rpYysgwZxmFHfOBBZlIydqn97fv2bn1+tk1S/HIzY9sBduVBLzP5wt3Vjim pvMMKzI7GCvdjHTIaP/+NChBSwiSepA2wzwGqaK8ecfWG5dr71qujGzv22D9QuXlODguTeoY2oc3 UacqeredMOMCQD+4B81ooHNa08luQ8vNvYc2cGA19ZSmzaIY/mKb3DNGw2RdJzf3u4HebGf0TTej zdB80JgQsvN2W9N9dUGn1NM53VJTrdyhpvs8SH44W2+6CTM8NA72XzQ1c7KHbY+MfnTiT1qtg8Yg lD/JvBqYCCUpGO6ZhzNJ47/YMMiVxcXfkVoisVyUiHSsargPGLUuE3g0xg2jDEgDRrVTBtWGfkMK gxRorUjYLy1Xtg3Va62mJHnjjQTClaT1unhjBCktlbjsJkozeuomtGNOsQn3paUhNo8YvVmqVSkl VpOOY1AxvYMyEh1lw0BffPEFff31Gw78hX8f4uqQfBBMDA3pmR8eHxiDwqN+/JO/omfXz5xns0pQ muVBpIqy6jnWVHrWIcYna2CEkUi7d8wAyhFyshzZqLgbTErS0/3hTSUu+7QnOqNVVdPlcEvnwwMn wePxoLBDOzDDyucw31uZVT452PWawEgkVczXmzl93c1otQuq4LFNpcjHYUrLzYJu3n9NF7OOLk/B XwaqWqIN0nS/vafz8zMaOIRvQdX2iWi6kAR+E5TIcpY8HLsPqFpjcB/857RV9ckMziygHBx0i9+p KQB0pUI0MbCrTEEwf3si5hO9z2ntWNE33VB4r5TMBtDHXmI8PgmtDI5s3S7OAA+Ov+4G6htUs41V kkg1VebkNpxgOBZTcU+0qp/xGXJkdz4+KU2SBeWKUfqCDIaTitYl5mVIj1PDrA4D6YfpOnY1noxc 8Hd3d1y1Gg2YpZaUQ0NSRzArznYKtdY59sr9oe9WSi8bU2wPChuVk0q6UmD77jWuLen4wKhuthN2 SXh0Ktu/ZLO96amhp+GUOiRq2dV0Vd34b0oayZhPV4Y1p5KVw8kUu1r1FVsE3/UzWkfuMt+lVfRw 90Bf/z//jU4XE3r1DO4ZHZ2dnRP1NX377XuazBbUVzXdbGqW6j77D38voDvGAelCHfdgoZJcUZAQ cCaLFWkBC1KGwewXzSX7IiQ46OCoAdhIDnWTjkKJagcTiPjHaZnQ7x0y4a0dL1L9nlUnHrCELYmB ceD6GkhOCLUqqHlBitS3eCnIPQ8NqhFvWr1KnxvdE2hSYiph08YGAD8vCjcoI3WhNPCFO16AP7aV 5x9zjgynSFQHxoQQrovzc+4fQrzYsufKs0k5sIEjKiSER2gQZStzv47zWFtcJPY8j9bTkDCm6Bll 51owq7ebKX29nXHZdag2/9ptR6gBOKcHOqdF9UQzcoVcjBoc060kCFhcOlcD2XfLMau7rqGvtjPG rGBk+EN3Ju6fzhZ0+VIyYGznZ1Qt3/G6wFsXpwu6WTfUVy3NkEvP8alQo94Mauor1QjuAXM9l8WK Kvfyf0cIILmrcWIO8ONxntK4HnjRwZgcP6T90lXa92Ovi9+hUk66uINKJ5Y0NdXunJsAFm6obh1e HeNJkdTlXCq4Sq8Rt7P4RA0Sj1RB28cEN/LSmTn1nfTI0hWL8gCFVa0fyw4Q/k5P6uPVRPUgJ6lP iHd3HTPqX/3614xhoSAswryQ+A7XA9v8t3/7t0ZVCeMb82sqvjvqhz0MYyvYmCzmSWnW09bhSNis MWb1r98GAia0oJvdczqtlzTjLCgT2u4Q1RHWyejURbBCaLLqIGSgyk1Dj13Dlsu7A5bOD23N6QVd /fQ/8B7Dgdb293TR3tC82nKWh2FzRevqjBqXiIFB99KDIqyK3f9dKXpXfsfiTmMN5btub99T1w90 fnVBs/mUq+SUCJRrgqbMUyLWftdmGWz+nIHefP013d8/0OXVBfcdAd5QU1bLJW27LV1fP2NrHD6D mvPZj/4NrXaImQqKcuhrCMmx7xBtzWTAMCd/CDL2PY6wveDqkRJOhYWy2A8VduOqW+fgepA0wrNz GscqRSyxWJeQmCmEkx6YVdd3nHUTTAq50vA9QrTmsxk9PS3DiMzrx3E9e3EiQZnftRKxgB2Cv3CV 4gEZMMUNAeWoplXvv4f0gNci8RzW+bqvOa/Tnxqz0ga18G64oKfdKU2GSv512K9SpBRZEzDG8QMn pikq3Cx3MCjImLWqM0DvYyydH9TqlqrFpZ/ZHZ3QsgJOdQd2SfPZOXWV5HtDw44qMqzAlVW3qJkA D11PdYuS8HHYQQCAw6cgECqyVOzDhSqvYHyy8DtsfADuiF10Kky02UxKjzGMTN5h3ruHmR0jHSxX a/r66685KyQ2FAox4Ofd/R3XTzw9fcOpbrlu380tvfj0B+wBs2udx7yRpFLjg34dwbvehJ5mcQ3m +bjvOcag19tniFsK/NtCNV5Ix+fIAeM3dCpVpU8rN++q4a0sbryZgSC8Cckboeohb9fLl69ckVXJ u4ZQC2SdWG80TU4+tnHpLuSyKlEEzppwO3jguD0hJ/v/cQiJIDNcebhC6iMoWBLUDf9x3I+QGfhB 4bM/VWYVjCkt9UNLa2elZNm6IhYy7vqOPpls6GoSFQrlxtI3h19VdNdP6alvabUT3zJgVCinwXUB 6F+mAZu7G85pNcyoqXpaV5L/3rZEJQw4jRymwbGO/ac0BxJSzBxgAkjMv1xtaHa6oBmyLqrvEwgk VaY4gd9ES9m7LJKKuYhaFG/8HNg3v4/0o6y758+6vkaK24rWmzWb35HNE+ltLy8l7zZW8cnJCXXb LZ1fXAo92MlSKVRwCg36hb7ZLTFlXrrhgiuGZDcIfR4ODjIHSsPvVv0ZB+7Hmnjuq2psnAy9qiWS izCEuN+KKAFQn83mew+dUyOZ6XV6XpYcbeWa9ElQ3cXvCQ2WvG+6KUsHpQaL6bZv6IlNLX6V+++b qqU7SADQLP4EMKtj26Dj4Co9UKMQMlNxoDWcUfkar70QPe4m9HYzo/sdaNV8ZzeMP1YD812CLY10 wjMsK1GpqV0/AUIPtQKMCtMfF2XNpSCoVI9PS8YqZicLZgSQquB3xZYvZ4nDZ4/sC+XutWWRPMYj BgHGvvaqhuG0zYHTXG5InwOLFhhSiqNYU68GhXPqHZc252nb0+mE3dojqUilG327qlOeh43gJqOq dubMPr6svGo2us/svdovl47W9cHSRkKzQv84fs2HA9nx5T5vVuoae3d6qIQ/ZU7Vuhrm2GJb8jwO b9lO6aabSrjLULN6c/QGT5pIHe1eifPPofXODePNZko/nK9kP0M17uGY2tK7bsq5q/7o6t7/oOYZ VoxfqCoY9Bc1i2NzaqyZbXaBcyZSWBUXc5rOZiyVgeFgM8ABDpIWCkJgOYGJTQuBtdp2ziseKXgV MNaWMy/FTZSJ5qdzxAx9TnCNb5NkhCVLkW2wSTD4zuEJSFfjqrfvepop8/J9HHlIZKLPCvtl/bY7 p7iJ1Kud3y2JFvUR+VCMB7nJzFFlYLXrE4Rfz0u1ZpxlrsHfLpoT1cXSHmdIcFm1048tVFAk6ED0 djtjK94fbm7Pu/Dn3vpBysJDRQQe/dTXrPqhbPyfsrpbakUMS1oMCMPjGw6WpYUVOZ/tBnp4eGJ1 6sXlOc2mDWMosKZJ3m+RrMC4Go4tlKwAsSCqShPRqpNQodTbXLIzpP01Gy1hTv6qokOdjCv0ocQS 4rGD+bIvFwrFAhzhBIEDF2fNJQd3b2H1B8fPwyqbOjqOtiAWBmut8XWT4rUxQ0G4VLjdMS9DmqiM vD0skh5KqE3I+xSHzZgxFfsfpFrr2hGH14wzq/u+4Q35x2ZWfyltcAHJv9vMWEiAmvznSqc9DAtO kwKQK4aD2LNSsjHbfJXnpmEJC4xKcn4HJoLPFKqpo4WakBEg6W5wgLFth6P9I3cC81mufhhVxjCY suoZmIt+BYY7d7wIkqTmjrJJ5FLBIO1HkFbyPhfHZn6XAiBrDnNhsHm55LxTALrBrKDO85Nrqert c3T5mDuHGhqczVCs1Pk9hgCjlivTcveP89lREZSdjO87CXGBZIBUJacOhwkByC1LVwj5+HPdhP8S bXAWwD/3tpdhwY1hjfgvFJZwEf0xfiVNGQ7CLu4fHnlBn1+cu3JGumnj5WSfs88SZJPsHYNFuQd6 50/3ZxErse+37wyYSfHq5L2apka8yDcu1Uldkj4zKdKOJ91uZfQk/eTx4ZHevHnDqjcOCsHYdnRx cUGr9VoSxRHRT3/612w9hCqrOCUaZ6w0BUSVYDaPgWQxTfqmDsbZmOLrREoKWced3nkgiwCyHIjv D+LImGFxSNFAzyfIjgulV9Ky3CJ3eI/SnB/b/wwtAt3TdcSSQiNMCt7pIfWItvgGnPYoIok2nbTF Z46FDZRCCrC60YcV3Cl8quV90oeqkpr/2zIr0+uock2hGQYXS2qqSqm6E/qL3xGTiTxfiAo40/Cj kirn4+NK2GGpTwEY1/crowBWCD8m+JDd3NywVRNSFgwe267jYiHr5Yp++tOfikSb5OlSi1xEnxI5 or5EZIrdujxj1urdAcoKpAx4pYe5YJ7fiRQAFe9dN2FmZB0VH3pJ1yIZLiU2MocGPra/5JaA7vyb X3mSxQBhOYJ91Fkslm4k8dHZrLe063pqJ8gDX84PnrY0+DINR5k3wIgkWHrnMDT4bkE1tUB9tKkU MjJYTvxuBbzjtMsqMYXYM3OHUWtU1UnDk/A8YH03HfIiachP6FLU3Fex9WtMAoQfSPxu/QAZY1+/ /oSf8+qTlzSdTLkUGxxcqZnQ2cmCnh4f3KNDP6OpGWXeBbzP0cZLXVVJYkyMBREFjKrsxi3OijVL VfgH6xxA4RLjRKK4j+1/3lZQCUtql4DMFvi217OvyqbjUx3MCuW/pK5h+tzjWvDq3vGmb5wqA1Ab CgMy6UxMcjb+PVO5UneB7C3R6bzPVWI8ut2WIXOnPaRRpKph51gp1BBS3jpweg9z0r5UibNm3EKs HFwxUP48cED5AewKjoRQ459dX0VjyIrO7KVBoEMQoUIJ0tAjN7rB/pXT2jJ+Tsm8a1n1g1SFlLr/ 2n5AH9ufdnNcpYStyOcIn+DsPqaqRQl3gqc4wF9soAvGr+pyvu1MoklDT4w04W+TpG0nXMgCaoHk 0sIpD9WgmbjKHJAAfTJ7y6gKJ78ZTewjZdWunNmNGgjMtWcTsRyK7xnRgjHAYL0LNe4ckzD170SA CviRxd5CcHPY/Nn8Ka4GtwaurF3C7gI9NFOqXmJVVa/GuUye3oKnRUcTYwHcWWB0AXYJ0F/7DIkP DRWr7XzDevxuXdGXHTI8heeU0buP7WMDw3J4jKpPnB/NbSicith4+JsZhK3cZjaBgtTzxZxOTxfB ez07tYP64xmTz5tlMZUqAMJeDRIL16CMy92HogmQJnALtiesdLgbDDaUbc2j0X2PDDCfYW5uc1p1 J3ZiTBi3cB1mrqgcgp7cbjqas/FBsTpITM5DnIdlGbSMXbI5BBxIMxioI+3ISAyLk38c/pQ4XOqY vRUzNTjwD0MT14tAkPjw2SL1oVs3t7d3dHt7y2RYLE65puVqhUK8G/59MZ8z80I8IXzAHtcdvdvU tG0v+O/tFhL6jK85++SHfzbOjB/bv1zjQqqKjHpJx6f9FckGzOph29H5pOGQnJLP0OXFuSTc8qW7 LYCu5Yb06rBJvThk/JG4H1WukiHZPvQZ9rzmitNEswYMa0d9JRtUA7Zxr5SlGj+ry2EfdmPr88L3 PsYxy7KQPZwlQKnOY1NMg++C8cq7uK9sqBNvcnUg9cPPnhscB9L4Q5k6k0Pf0DgcQkpTE4ZVqGps Mrtn2iu+A+ANT2nkh4Lqi3i8b+62tHzq6P72lrrtFzSbL+jh/p6dWE9O5lwMc/n0RK9evWCavLu5 47i1+ekZxxouHx9ofnJKj8slXXzyGe3+ByTD+dj+vBsn8AvFIAU/gOWJMyIjNbKTcriYUMKs1BFR 9mOwvMXxb+LZHvnjYHNqrUO1XJlOqSoWG9aCrxTzD8cBJ5yJEt7wSP4vfeQ6HGBsLv4xS58R5UqK uhrey3zLKSosZQbJxA05M5OptdPTxFVHZjq512lgMhsx2BvdyTDGeqcqWrCgar9tP+OJjLG1IBSK phyrbhHW5CTIEF8Wl11Sd1pcD7oim4EUTKjpS8SgsUuBsLdu8ZraxStaXDzR9vGeGeHpRccBz+1k yrmOmr6nyfkpnbS4/oaWw4S/QxqjMzf2hQt9+qgXfmxpa7Gxe2APu44mkxltNivZDRtZsk898n+3 tECUfad5rWTHbNYrxiWm0zmtVkvqths2o+vpjg2w3Wz4RYjM15O667a8cafTGYP0cn2MBKcZDyK8 y6dvls3FVkPN/QSrE5LVMWMT9Stt2eZWcJuLfeqpLrsdmww0CpbPHeM0GAo2ogX7WXIyzI7HXUPr Fnpx3ULH4OKCEXFcnFTJjg+HPNQo4D32TsldLpA4ziDMl8Rh2jEbWjqVX6Wt8CwdmfzFeZH6lp52 NVd3QXEEWPdUbcNVzek1/6xPn9PsmT203MHk/lzjUETKorPPOGNmynwh9v8x8y59bH85rX16uKO7 2xvO+ogsBG+++oIWp2ecaRTYEKsqixPqVIVwnu+4HvddXF7R5fULunn3hu5u39HVsxfUtvCqliou jw/vGZeAYyMyHcB6+PhwT03d0uXVMzq7vHIShnbJqi7pBnPfc3Vucc7ktMUoWuCcGdc7YbAwinOV nhF3Cnlu+B1Ol8BOJtMp+zW1DRL0SfK55XLFaVKQZAwpc7788is6PztjyyVS7SAGEWNDcjpk09Q0 Mmfn57SihmYNJ3YtosnFaBvT5ZKF0wYHBzkoqG/4HbRB3ccV5ouLIUj6DumGpFPhQGdITD0YFifL obZGqug4yzlcDH63XrAT5/GZC8x1yS2cR1+fUxKkPvKqj22ktev1kvDvYn4tvjuQWJqGixWgWETb tCxlbLciKYn3esV/IwQEklLfbWk2R6DznLNHVnXHu7Bt5zQuR9oMAAAJFklEQVRfnNBkOmeVE++p +5radiI5kRLsqKSmpVkO1Gom6qjcxwVfOZmZxPfBwZXQj8gS6O4egZ3uHx7o4f6BAeLPP/+cPcW1 gCwcMc/OTlkihMf427dv2fv///vHf6TFYkGz2ZRzZCEFMEBmSF5Qq3/xN7+g+dUzdnGQECQt9S5s VPKDyZgiYBySHVeOCXKTZDy1tapTzmcf49RmztI4oZvVQMthxqlEtBQVFDn8BOXgWgCGhnp6J82O zpuOjQbIgcZYE3KZd+2fVZqVj+0vs7XXz1/R1fULDyZPP525lKRED5uOTqcTZmBcbDVK0DawVDGd zDk4djKb0eX1M3PaB5VDhJ+KTs8kjxSeFYQIlajGgivimoUBe5HvmKnUNftmwb8VJcO4qASYGEuI 1qtdweZcpEHc49PTE/fje69f0+XVpUvnu6KHhwe2bMFUj8ovyJ3FOcs/eU2nZ6fsxvHixb1X/cDM xDLW0vkUG13iMuF5Xrkg8Ckht72OL+ei3W5Dm35J/a7jir6LyRlNWskrJS1RD5mZhJQyoOZ919Av VyhWIOWmfAvxzhnrq7aS2O7lZMvVettqx4zqo5vBx/an0FrGUlBG3uVuh0Tks1XiBG5aB8gHR01t cOhU5wEBk+OoP/6p2DrnwJJnACfyrgyu7twxGyL24VJrJDY3ilvXdMJhRHEtNs8MsrAf81wEWJ+d 0/nZRUBk1Njgir+qSwHo9Nc//Sn35fufSgJ9XI9SVtpHfS9owrRxdn9UhsL9677ncKOhlWgC05NI VOr7LfVDR0MFJ9SOHVJjfcm4gzgasqWUaimlxNkj9we8lrRRRPP/fj3jYqGQtBDpD7D9Y/vY/rWb iFK86B2TqpyzKHx42HUAjEw3bbhRN2SocHzoVUG68XF+FoUpWBhLsXzKrGxYDjKXMqafdAIYkyS8 1URz7o0uHYy1hkHlksBgcQFwmhXVg+TI0owVkq5F+m8Zp5cXndXNZmDw1jen3iJ8B/8e0e9K8ov5 sCDnUtDWE1G3+4771fVb2jXIc6VT5q53AD/+t+SA4SkzqS3A8T8gOh9PRx7vTf+RUX1sfzqN0WDx NBDGgwBUdsSsGwZt1VM6DxY2aX2Lapa5LvMqt8/SPOQhWDi9P61Cw5ZNzoogbgyzmuh+21ENENyH ysizGAR3zFU/Z4dU7bNnPCpBCouzTqJ+7A5jG/d2txKS/m1bkPLQBYD6XJEnoqvLcMDpeSFTQdnF dSiTJlhYCblf9Q19gQKX29nIPHxsH9uff2u9WsVhHDhVd7SlmiZUcQBvKbQDUkXTTKRi7560Lfua xsupj0+IQdNUJEaKSFQ5ZIT4/Def02w+48IQAMQfnlZ0ixCQvmcnVqidCBUBYI5RTKcTxqBOTk+p nogKrKmZ8WioXyhLBtyqQlYI52+lHukqzUiETRr4XC5HZfGzSFp0t8I4gIylfS1SlnfmJPg5NXQ/ XLKz7IRW7DA73XXU1hreEq4FPnWDvFCdfPexfWx/0aE5jH1AYmknjFUgFo5DOpyDY8asarEcqgPk uHSFZstZ6TOsv4/+pps+qHre18p5tYtUg6wQa/rv//2f6OLynL7+6g19+v3v0+PTE9WTCc2nEwa9 X7x4Qd988w3d3d2zWoV2/eyKfv7zX/B3wc9APMw5zASWUE4UBynFelg5FVhx7SQ+Mv55uEm6GWLM DfUCJa8TSis1XNUFJn/keMLPiq5oShs6rR7oRT/QpRZDdTmhgFU99A292c7+JAp8fmwf2//I1sKa BfcE9mHqB5oos2I1xPnquMb+V/VErHwFZhY3xYnk2fs2tOYiV5UNP+ETxWqcA6XBUBv4M1HFBSP+ /u//D65z98mrV3R1dcV422O3o369oouzU1dGqqYf/PAHUv1lGNjSd3Z6GuNxzktf4hZh+dywAy1L L94iKr2E7MeSUGm0xeFZFTEYLozgyM87bQc6aba0GzbsQf7Pm4V3IYAEtUZd32FGN2uiE1T0abb8 Hfyi4CMV+vixfWx/2a39/9u7ut60gSA4Ph9nN5A0kVJFPKD+/3+VplWVp0pAI/nb1ez5fOcPQvqc GwkpJkAA6Ta7s7OzG7MRNfqxU/iaKeTkVgaSPRwdsRmGJeCtQPH6f3N3tJf+dbOsbDjTvrunJACx RGN2RdiOm/09NV+83T/c43A4jJnQa6lkScYtmbnBq9yVbm5lle14ujIvUIJxgYKYyPU41krI6wLM cgZFdw/sdIsnU+FBN6JnGmPeIlq5D+QCkw9Wa+DzqxayloocFBdZrrN51omTt4iIzwgtXUDxT+qQ a8tLEZ7onoo73cFeJ5zn97gZualafRqrLMlsV8B7bynfaQv9sXyws106Kxh1pP2tVvhV5jioGjdc iRlIBsLXDQWqlsCvRVPGEuuo7vC7vJPSbA76h58aLfvd9lmFfVa8n9qMyZUn8OffG6/PjcKPaotz a4ULERER69DMmM5Nj8cvOTqS1mzlu8Hk4FBvNLf3chPfpSN1qeybjdVMVOdDpta5OT6n/h58xyfz dnPfrJlbZ99jR4V20uJUJzCbFMbN+AWzc3Mw0KnEwGwyCdx/K4O6uNzK5ytRLvBSsGzssc/KC5yW J9Gt4Hb5OXg7NQrP1RZvMVhFRFyFZtnFQ2uE2PbBwkGC1SaT8RvXEbzszjm7nKyg97qksMs2OhdQ TBp0DRedtTHweJ3TKB4NeKI8bbFNe3A9YPiWLr9v6q4G5yyRDVjfr7XlmiHIMT0XOV4rg0ddIk9a 5GmHnH87cS6hSyue8Jqc4Uu5lZGZmFlFRHxU6c5iSEZmBk+mAS6zIhG97I5dz7DmrqTjIyf3ecGl 1VjZ8s5nZr4EtMJ4ZmJ2vCf0sxLpaw/8aTJkaT0YBLrSEe/qp2ySN7Vxebfx6b4fyg+6FD+rm3Gn oYhNkx550uGbafBkShkmdu8zlGk4kWcMVhERH4OWvYOJtp5V44Gy7X7xUqckYL7Rd4HweU6ysFwo ca2XNfepmmZiQ6ATganlr1xJSP6NP/Pws7V/bFLsVA0TBB6nXPc2Nj4rY2Dm4ygr4AKE/5UHDKKM 8YK6qAYKbwWV5xrfs0LK1bC/yO/72JpVriwiIgKr+AdLuPV9A8VXpgAAAABJRU5ErkJggg==