20240930 15481100 1.0 FGDC CSDGM Metadata FALSE CalculateField "Updated Datasets\Zoning (New)" Zone_Class "Residential 1 Dwelling Per Acre" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_Class "Residential 1 Dwelling Per Acre" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_Class "Residential 12 Dwellings Per Acre" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_Class "Residential 18 Dwellings Per Acre" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_Class "Residential 24 Dwellings Per Acre" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_Class "Residential 4 Dwellings Per Acre" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_Class "Residential 6 Dwellings Per Acre" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_2010 "CB" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_2010 "DC" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_2010 "NB" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_2010 "P" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_2010 "PSP" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_2010 "R-1" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_2010 "R-12" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_2010 "R-18" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_2010 "R-24" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_2010 "R-4" VB # CalculateField "Updated Datasets\Zoning (New)" Zone_2010 "R-6" VB # CalculateField "Updated Datasets\Zoning (New)" FLU_2010 [Zone_2010] VB # CalculateField "Updated Datasets\Zoning (New)" ComPln_Des [Zone_Class] VB # CalculateField "Zoning (New)" Zone_Class "Parks" VB # CalculateField "Zoning (New)" ComPln_Des "Parks" VB # CalculateField "Zoning (New)" Zone_Class "Parks" VB # CalculateField "Zoning (New)" ComPln_Des "Parks" VB # FeatureClassToFeatureClass "X:\F1326.15 AWC Kenmore\Data\Master.gdb\Zoning" "X:\F1326.15 AWC Kenmore\Deliverable\Planning\Zoning_Update_20180514.gdb" Zoning # "Zone_Class "Zone_Class" true true false 50 Text 0 0 ,First,#,X:\F1326.15 AWC Kenmore\Data\Master.gdb\Zoning,Zone_Class,-1,-1;SHAPE_Length "SHAPE_Length" false true true 8 Double 0 0 ,First,#,X:\F1326.15 AWC Kenmore\Data\Master.gdb\Zoning,SHAPE_Length,-1,-1;SHAPE_Area "SHAPE_Area" false true true 8 Double 0 0 ,First,#,X:\F1326.15 AWC Kenmore\Data\Master.gdb\Zoning,SHAPE_Area,-1,-1;Zone_2010 "Zone_2010" true true false 50 Text 0 0 ,First,#,X:\F1326.15 AWC Kenmore\Data\Master.gdb\Zoning,Zone_2010,-1,-1;FLU_2010 "FLU_2010" true true false 50 Text 0 0 ,First,#,X:\F1326.15 AWC Kenmore\Data\Master.gdb\Zoning,FLU_2010,-1,-1;ComPln_Des "ComPln_Des" true true false 50 Text 0 0 ,First,#,X:\F1326.15 AWC Kenmore\Data\Master.gdb\Zoning,ComPln_Des,-1,-1" # CalculateField Zoning Zone_Class "Manufactured Housing Community" VB # PairwiseClip Zoning "King County parcels" "X:\F1326.15 AWC Kenmore\Data\Planning_Master.gdb\Zoning_update_2022" # AddFields Zoning "AREA DOUBLE # # # #" CalculateGeometryAttributes Zoning "AREA AREA_GEODESIC" # Acres PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]] "Same as input" ExportFeatures Zoning "X:\0_FLO_Projects\F1326.15 AWC Kenmore\Projects\Zoning_Updates\Zoning_202303.gdb\Zoning_202303" # NOT_USE_ALIAS "Zone_Class "Zone_Class" true true false 50 Text 0 0,First,#,Zoning,Zone_Class,0,50;Zone_2010 "Zone_2010" true true false 50 Text 0 0,First,#,Zoning,Zone_2010,0,50;FLU_2010 "FLU_2010" true true false 50 Text 0 0,First,#,Zoning,FLU_2010,0,50;ComPln_Des "ComPln_Des" true true false 50 Text 0 0,First,#,Zoning,ComPln_Des,0,50;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Zoning,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Zoning,Shape_Area,-1,-1;AREA "AREA" true true false 8 Double 0 0,First,#,Zoning,AREA,-1,-1" # ExportFeatures Zoning_202303 W:\GIS\Projects\PublicRecordsRequests\PRR_2023\Exports\PRR_4509.gdb\Zoning_202303 # NOT_USE_ALIAS "Zone_Class "Zone_Class" true true false 50 Text 0 0,First,#,Zoning_202303,Zone_Class,0,50;Zone_2010 "Zone_2010" true true false 50 Text 0 0,First,#,Zoning_202303,Zone_2010,0,50;FLU_2010 "FLU_2010" true true false 50 Text 0 0,First,#,Zoning_202303,FLU_2010,0,50;ComPln_Des "ComPln_Des" true true false 50 Text 0 0,First,#,Zoning_202303,ComPln_Des,0,50;AREA "AREA" true true false 8 Double 0 0,First,#,Zoning_202303,AREA,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Zoning_202303,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Zoning_202303,Shape_Area,-1,-1" # ExportFeatures Zoning_202303 C:\Users\alarson\AppData\Roaming\Esri\ArcGISPro\Favorites\Planning_10.174.37.20.sde\Planning.DBO.Zoning\Planning.DBO.Zoning_2023_0322 # NOT_USE_ALIAS "Zone_Class "Zone_Class" true true false 50 Text 0 0,First,#,Zoning_202303,Zone_Class,0,50;Zone_2010 "Zone_2010" true true false 50 Text 0 0,First,#,Zoning_202303,Zone_2010,0,50;FLU_2010 "FLU_2010" true true false 50 Text 0 0,First,#,Zoning_202303,FLU_2010,0,50;ComPln_Des "ComPln_Des" true true false 50 Text 0 0,First,#,Zoning_202303,ComPln_Des,0,50;AREA "AREA" true true false 8 Double 0 0,First,#,Zoning_202303,AREA,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Zoning_202303,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Zoning_202303,Shape_Area,-1,-1" # UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><FeatureDataset>Planning.DBO.Zoning</FeatureDataset><WorkspaceConnectionString>SERVER=10.174.37.20;INSTANCE=sde:sqlserver:10.174.37.20;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=10.174.37.20;DATABASE=Planning;VERSION=dbo.DEFAULT;AUTHENTICATION_MODE=OSA</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>Planning.DBO.Zoning_2023_0322</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" "<operationSequence><workflow><AddGlobalIDs /></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/3.1.0'><FeatureDataset>Planning.DBO.Zoning</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6861634a3939324859485056314362452f486d46792f315752374b656b5963504e414b744949514c787579773d2a00;ENCRYPTED_PASSWORD=00022e684968585041624c6f6a754c332b76357a466161764661456e48387777444543554d684432756c77354643673d2a00;SERVER=10.174.37.20;INSTANCE=sde:sqlserver:10.174.37.20;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=10.174.37.20;DATABASE=Planning;USER=sa;VERSION=dbo.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>Planning.DBO.Zoning_2023_0322</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AlterField><field_name>Zone_Class</field_name><new_field_name>Zone_Class_2022</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>ComPln_Des</field_name><new_field_name>ComPln_Des_2022</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></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/3.1.0'><FeatureDataset>Planning.DBO.Zoning</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6861634a3939324859485056314362452f486d46792f315752374b656b5963504e414b744949514c787579773d2a00;ENCRYPTED_PASSWORD=00022e684968585041624c6f6a754c332b76357a466161764661456e48387777444543554d684432756c77354643673d2a00;SERVER=10.174.37.20;INSTANCE=sde:sqlserver:10.174.37.20;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=10.174.37.20;DATABASE=Planning;USER=sa;VERSION=dbo.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>Planning.DBO.Zoning_2023_0322</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AlterField><field_name>Zone_Class</field_name><new_field_name>Zone_Class_2022</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>ComPln_Des</field_name><new_field_name>ComPln_Des_2022</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></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/3.1.0'><FeatureDataset>Planning.DBO.Zoning</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6861634a3939324859485056314362452f486d46792f315752374b656b5963504e414b744949514c787579773d2a00;ENCRYPTED_PASSWORD=00022e684968585041624c6f6a754c332b76357a466161764661456e48387777444543554d684432756c77354643673d2a00;SERVER=10.174.37.20;INSTANCE=sde:sqlserver:10.174.37.20;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=10.174.37.20;DATABASE=Planning;USER=sa;VERSION=dbo.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>Planning.DBO.Zoning_2023_0322</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AlterField><field_name>Zone_Class</field_name><new_field_name>Zone_Class_2022</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>ComPln_Des</field_name><new_field_name>ComPln_Des_2022</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> CopyMultiple "C:\Users\alarson\AppData\Roaming\Esri\ArcGISPro\Favorites\Planning.sde\Planning.DBO.Zoning\Planning.DBO.Zoning_2023_0322 FeatureClass" C:\Users\alarson\AppData\Roaming\Esri\ArcGISPro\Favorites\Planning.sde\Planning.DBO.Zoning Zoning_2023_0322_1 "Planning.DBO.Zoning_2023_0322 FeatureClass Planning.DBO.Zoning_2023_0322_1 #" Rename C:\Users\alarson\AppData\Roaming\Esri\ArcGISPro\Favorites\Planning.sde\Planning.DBO.Zoning\Planning.DBO.Zoning_2023_0322_1 C:\Users\alarson\AppData\Roaming\Esri\ArcGISPro\Favorites\Planning.sde\Planning.DBO.Zoning\Planning.DBO.Zoning_2024_0930 FeatureClass DeleteField Zoning_2024_0930 Zone_2010 "Delete Fields" DeleteField Zoning_2024_0930 FLU_2010 "Delete Fields" 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/3.3.0'><FeatureDataset>Planning.DBO.Zoning</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e6854732f4b414a7569726455474869784a336a676170533674364b52624853756772527a794b52414a5441383d2a00;ENCRYPTED_PASSWORD=00022e684c467841584775504f6b6364375a336365307a4b4e355863565a397665496565323857686c6f31634f74673d2a00;SERVER=10.174.37.20;INSTANCE=sde:sqlserver:10.174.37.20;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=10.174.37.20;DATABASE=Planning;USER=sa;VERSION=dbo.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>Planning.DBO.Zoning_2024_0930</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>Updated</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><field_length>25</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> PairwiseClip Zoning_2024_0930 buffer_522_qtrmile W:\GIS\Projects\Projects_Planning\2025_ExceptionalTrees_Transit\exceptional_trees_transit\exceptional_trees_transit.gdb\zoning_qrtrmil_transit # ExportFeatures zoning_qrtrmil_transit C:\Users\nhicks\AppData\Roaming\Esri\ArcGISPro\Favorites\Planning_SA.sde\Planning.DBO.Zoning\Planning.DBO.Exceptional_Tree_Removal_Zones # NOT_USE_ALIAS "Zone_Class_2022 "Zone_Class" true true false 50 Text 0 0,First,#,zoning_qrtrmil_transit,Zone_Class_2022,0,49;ComPln_Des_2022 "ComPln_Des" true true false 50 Text 0 0,First,#,zoning_qrtrmil_transit,ComPln_Des_2022,0,49;Planning_DBO_Zoning_2024_0930_AREA "Planning.DBO.Zoning_2023_0322_1.AREA" true true false 8 Double 0 0,First,#,zoning_qrtrmil_transit,Planning_DBO_Zoning_2024_0930_AREA,-1,-1;created_user "created_user" true true false 255 Text 0 0,First,#,zoning_qrtrmil_transit,created_user,0,254;created_date "created_date" true true false 8 Date 0 0,First,#,zoning_qrtrmil_transit,created_date,-1,-1;last_edited_user "last_edited_user" true true false 255 Text 0 0,First,#,zoning_qrtrmil_transit,last_edited_user,0,254;last_edited_date "last_edited_date" true true false 8 Date 0 0,First,#,zoning_qrtrmil_transit,last_edited_date,-1,-1;Updated "Updated" true true false 25 Text 0 0,First,#,zoning_qrtrmil_transit,Updated,0,24;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,zoning_qrtrmil_transit,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,zoning_qrtrmil_transit,Shape_Area,-1,-1" # Merge Planning.DBO.Exceptional_Tree_Removal_Zones;TransitBuffer_qrtrmile "W:\GIS\Projects\Projects_Dev_Svcs\2025_Exceptional_Tree_Ordinance\Exceptional Tree Ordinance.gdb\tree_exemptionzones" "Zone_Class_2022 "Zone_Class" true true false 50 Text 0 0,First,#,Planning.DBO.Exceptional_Tree_Removal_Zones,Zone_Class_2022,0,49;ComPln_Des_2022 "ComPln_Des" true true false 50 Text 0 0,First,#,Planning.DBO.Exceptional_Tree_Removal_Zones,ComPln_Des_2022,0,49;Planning_DBO_Zoning_2024_0930_A "AREA" true true false 8 Double 8 38,First,#,Planning.DBO.Exceptional_Tree_Removal_Zones,Planning_DBO_Zoning_2024_0930_A,-1,-1;Updated "Updated" true true false 25 Text 0 0,First,#,Planning.DBO.Exceptional_Tree_Removal_Zones,Updated,0,24;GlobalID "GlobalID" false false true 38 GlobalID 0 0,First,#,Planning.DBO.Exceptional_Tree_Removal_Zones,GlobalID,-1,-1" NO_SOURCE_INFO MANUAL_EDIT CopyFeatures tree_exemptionzones C:\Users\nhicks\AppData\Roaming\Esri\ArcGISPro\Favorites\Planning_SA.sde\Planning.DBO.Zoning\Planning.DBO.tree_exemptionzones # # # # Erase Tree_ExemptionZones_2025 "Tree_ExemptionZones_2025 selection" "W:\GIS\Projects\Projects_Dev_Svcs\2025_Exceptional_Tree_Ordinance\Exceptional Tree Ordinance.gdb\Tree_ExemptionZones_20_Erase" # Merge Tree_ExemptionZones_20_Erase;Tree_ExemptionZones_2025 "W:\GIS\Projects\Projects_Dev_Svcs\2025_Exceptional_Tree_Ordinance\Exceptional Tree Ordinance.gdb\Tree_ExemptionZones_20_Merge" "Zone_Class_2022 "Zone_Class" true true false 50 Text 0 0,First,#,Tree_ExemptionZones_20_Erase,Zone_Class_2022,0,49,Tree_ExemptionZones_2025,Zone_Class_2022,0,49;ComPln_Des_2022 "ComPln_Des" true true false 50 Text 0 0,First,#,Tree_ExemptionZones_20_Erase,ComPln_Des_2022,0,49,Tree_ExemptionZones_2025,ComPln_Des_2022,0,49;Planning_DBO_Zoning_2024_0930_A "AREA" true true false 8 Double 0 0,First,#,Tree_ExemptionZones_20_Erase,Planning_DBO_Zoning_2024_0930_A,-1,-1,Tree_ExemptionZones_2025,Planning_DBO_Zoning_2024_0930_A,-1,-1;Updated "Updated" true true false 25 Text 0 0,First,#,Tree_ExemptionZones_20_Erase,Updated,0,24,Tree_ExemptionZones_2025,Updated,0,24;GlobalID "GlobalID" false false true 38 GlobalID 0 0,First,#,Tree_ExemptionZones_2025,GlobalID,-1,-1" NO_SOURCE_INFO MANUAL_EDIT CopyFeatures Tree_ExemptionZones_20_Merge C:\Users\nhicks\AppData\Roaming\Esri\ArcGISPro\Favorites\Planning_SA.sde\Planning.DBO.Zoning\Planning.DBO.Tree_ExemptionZones_20_Merge # # # # Rename C:\Users\nhicks\AppData\Roaming\Esri\ArcGISPro\Favorites\Planning_SA.sde\Planning.DBO.Zoning\Planning.DBO.Tree_ExemptionZones_20_Merge C:\Users\nhicks\AppData\Roaming\Esri\ArcGISPro\Favorites\Planning_SA.sde\Planning.DBO.Zoning\Planning.DBO.Exceptional_Tree_Exemption_Zones FeatureClass Planning.DBO.Tree_ExemptionZones_20_Merge 002 1286883.506201 1299537.789948 267866.861045 286763.259932 1 Server=10.174.37.20; Service=sde:sqlserver:10.174.37.20; Database=Planning; User=sa; Version=dbo.DEFAULT ArcSDE Connection Projected GCS_North_American_1983_HARN Linear Unit: Foot_US (0.304801) NAD_1983_HARN_StatePlane_Washington_North_FIPS_4601_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'><WKT>PROJCS[&quot;NAD_1983_HARN_StatePlane_Washington_North_FIPS_4601_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,1640416.666666667],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-120.8333333333333],PARAMETER[&quot;Standard_Parallel_1&quot;,47.5],PARAMETER[&quot;Standard_Parallel_2&quot;,48.73333333333333],PARAMETER[&quot;Latitude_Of_Origin&quot;,47.0],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2926]]</WKT><XOrigin>-117104300</XOrigin><YOrigin>-99539600</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2926</WKID><LatestWKID>2926</LatestWKID></ProjectedCoordinateSystem> 20250909 13150900 20250909 13150900 150000000 5000 FGDC Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 13.4.0.55405 Exceptional Tree Exemption Zones 1 -122.271267 -122.218426 47.777732 47.725301 Within a quarter mile of high capacity transit stops exceptional tree protections are exempt. <div style='text-align:Left;'><div><div><p><span>City of Kenmore Zoning. Aggregated from 2014 parcel based data supplied by the City of Kenmore and updated November 2017.</span></p></div></div></div> FLO Analytics, 2017 Zoning Planning Exceptional Trees Exemption Enterprise Geodatabase Feature Class dataset EPSG 6.3(9.0.0) 0 Simple FALSE 0 TRUE FALSE Planning.DBO.Tree_ExemptionZones_20_Merge Feature Class 0 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. SHAPE Shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. Zone_Class_2022 Zone_Class String 50 0 0 Planning_DBO_Zoning_2024_0930_A AREA Double 8 38 8 ComPln_Des_2022 ComPln_Des String 50 0 0 Updated Updated String 25 0 0 GlobalID GlobalID GlobalID 38 0 0 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 20250909 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzkvVmTbVmSHuR7OEPMdx6yhuymsqnqFgLDaAQmIWGSkGE88SST 8cif4wVewEwPvMigDRCGoFvWhZquVnVVznmHiHtjOvMeZJ+7f2v73nFORNzMW3phZUXFjTPsvfYa fLl//rl7eXp22kpoRVHIZrORuq5lNBql16uqksViKdO9qayWSynLUrI8k/V6La20UpSFtFUrh4eH 0tSNzOdzmUwnslqt9Dq4Lv7dNI3kea6/cY22bfVnb28vfRbvr5Yrqeqq9xm8nmWZ9gevT6dTGY/G cnV9JVdXl1KWI30f1zk+PtZnwI/2Ncv0nmj6emXPh+tKJvpvfAaXz/MifRfPXTWVjCfjOEz6vWpT yXQ8TX/j+/iNZ8U98T7GRjA+hfVBn6Wxe+boU9vqeOM7aByj8Xjs/bHnRT/QR/zomLdtGkt9BhH9 LP/mNRaLRXo2XgN94xigf3gdr+EHfcFn8V1cB5/j9TgmGHeuFTxL0zbWzxb/s+dHw7XQHzZcQ/uY 5Tq3GFesIX5+2DbrjY5vXIfbGvqHz+D6cSy4bvB8y8VSRuMRhh3v9r/vfZ5MJjKfzWVTVbKpNjIZ j9N6xDXwmbRmwr0X84Xui/isnEv8cC5xDTas97SeWxur5XJp+2JUyv7+vs4dxxdjXpblrePAMcaa whNirtBwf743m8303roXsAyzTOqmkoP9QynLQuaLua7V+7Rc584+izXJtfoxGtccfuO5dawkk909 a4edy6XwCcHAY1LRYQxKXhZSYLH6AseNdOHnmS46bmI0LApcC+9z4DBR8WHxbwhA/IxHI7umCwTc G9+pIFSxkEcUFrleG/fB5zCAFFS6cbJcr4fX8Jkqt02qm7ZtdaEeHBxIjU0l9h30vW7r4fq+sSFw PW5sCFDJJS0+9AmvUxirAM7CpvKNgPfR8H4U6rw+v8vv4X5pzFxQoFEoc9Jjf7EJeH2Mj45Lkaf+ 4zd+sMD5GZ0LF8A6Jv6Dhtexmfg3uoDrRaEZ+7BedXMCgaWCIt8urHa1uE6icLLf+v99wRH6oetG 122ufdXXpdWDI59ObPxHpR5OOHBXKzsYON4Yl13CMz4nG+6D71DAcy1AEG17BgpH7Bv8B2GFv8u8 O+wyf9Bt9zPhXNvzQQ76Z/ibhw7Wmgpg7OmwpvClLZfdOQ842NHP9ebjCqttTdfNNoHFGw8HRAcQ 0i63xcsBXq3XelLqwq3tlEDDaaanSJbrv6m5cZNzAcUNtrUvegI0Osj4+/r6Wh4/fpz6iP9u9hkC ywQAJmU0scXIE42fVyFSjrR/2EBs6Sr4bJslYXCjfxDYjZ1iXGy6oZebTlN0QRSFABYw38NvCh+O KYU+Nws+M8UzuJaIPmO8ca10amMDQtPBStX/QXtrVEhR09K5aW3jsH8UjKqJFqUKdZzC1NCoZepB IKZ5ceNR+OF5uKHi3E2SVmpahF5zNNZ74Jrrai0f0vTQLEwYNa55qLbKucoKaRrrr42dyisTNhPr t2r+k4m+poLWtQx8Lq5F1djaNh2CejAPNKiP2fRZpFWBqVqVH3bx8BI8kwpb1Q66Val/NlLpYWtj g6brSjLV9HkPatLYFyqs86wbV50mG9fYVJQlgWTrtHTFYOX7LH32YwqusO3SgT78THdo7xa1PIkh WdebleQwDVrRjQSTEANweXV543s8nan1xE2568TgZ3i6YTPpew1Mso20WFB5kU5qVYMz25R7+yYw VZtYd1qBbtQsl1pqFVY0jxbLhQqhaTFN90M/sbGGmzH+5sJaLhZJ6OB7eJ0qOBoXH7U//Czmcx07 fEY38do2Ma6D16jZzPRzZt6gv3gP94FAogaAMdH/1OyENoHTdKmTjWuooMxs8espHsxE9BWHAftP s5PPApPKNF0Tblgeo2MbuziHtvgLaSAQqippBGr2rE2Q37fFNcjr4lLYkKoJFmO9/qauFIYYmoS8 yq6WNN6ggfC5qWG3tQvkvG8B9NbrLXt0uIGjZr7r81nRac5qnk/Gpl23ogekaVqdJmnnumtHpijZ wbVtT/lv7BcVTP4ZrHesFxxa24ROmkffl1BUOPex3Ueo8xC+rekh2lh/+B20LSZhN1g7m0IwhkXg R7/B0TLIJp2okMCU7NyE20xCdpL/1s75YqIqj+8cHR6mDS8ZHtq0Di4obDravKpSl7Yp8T5NFWhT xGmwmXXxT8ZJC1I1100maju6AKjVOe51eHCoA5pMJMeG2M7Pzw3Tc+wAC1/NURc6uB/GYLlapefE +3gNfadpSxyO40AzDa/TvOBmZX+hyeiprRpVh2HkZa6vF+L3aVsdc1yH19QTFPerDXPC4lYcJrfX 07UKN1v9RFeB5RoQGrEzNmqxaQzdlN21eUX3k71P/CwtXvyvsjWoWqmb9vdpQwyKv7mRaIJnBzeF Cz9338bvfx/NA/1YrpfSzE3jacXGAU3HGePX4DVbE1Ac4sGYYAWdKzuo/UKqyVETxY8qGpnty22Y YhyH28Y5avw7xwT/od+NKQrcr72W2fMPD4OtGJYC7MtFMnd6N3KVEdoVTlG9NqT7oJfoSF3U8uTx E7tW2MgKgNeNYhpqjm0qmTUzHYi4qdnwMNAA0KBRXM9MKHHgImaCz9F0RKMQwnW5qYfYE4QJrqdm p1+PjgIKAN4fjQKSm5qmBPsBPAzfpalEkBvPmbCiEuZLI22W6efqqlIBCAEFs4VYHBc6cT4F8x3H M8DW5oT3T8B2kUtbd2Y3FiLurxpmkacDhM4Ijjnuo0LRcTx8luYlNwG1BDXvXNvW1+hM8H7EfvI3 tJamtNOTB19TudlTG+C8XC1t80Arbm098sAYrkdqgHGsho0HBsaeZnTChNwJoJpfaRo6TbJK12y3 pmE22cbqa1i4Jp0UHxvLUbPN75v5AYb7TMaTBAMsFrWUY5sL1Thd6HCt8MDT9wGUAxcDrOD7gXAL Gg/DG/24L7h1n2eiRlvbuiQ8ETVq9Eb33wAy2iqwCLzGTaoPtjQ7Mp3AMAU35iXs3QmLFgs9N8GB zRk3EzusnqJFlaSpAoxhI/FzKjTqzpzCxsPf+t60Tqe6ev7GePhCRjDpygFQ7c4Cmi703mDA6Enh s6rAxQngAmvojXtw+EC1Rwo+mnN6PXijfIyw6dSB4M+XAOAaG6JSDU2Fau04HR0ZxNtcEHHB6UQ3 WKQLE6zwjOamRfY8K0WphwpNb/xNTwuvHYUJwWj0hfdJp7RjGuw/DwF6GKmVYaPrXEPz9hOT46O/ gV1t7D6KPbpZSo/xpt2oEMSY6cEjNjdbvWOuweO5ME/RgzxsnAv0a39vP3mfedBwkwJ8p8OnlFLX Nq5IDSAK66htfMzNvKtxT2QRjsD/mg5bUmvH/+Rn477jdxX/c5MLwovr4q77f8xnQaOA5/qj5cLX gZPRKXCrwOp5U9iCJwotqpPi5hg2HbAOLngC7WXWURNoPmHRAIOINIrkafMNQcFkC7rQ0xcaBTUU US8KtDtsNGAjjuX4AsJnaPpRGxxhoUbgn4JvcG8K0TR4wTzVk6vuMDGeyvFz9PDoZq9cgHv/FDjH RnQhQmCb3iHiVrw+Ny1PV2oIupFcWHPMCSZDmFL4JE2p7RYtBbCB4xPVrKgJxuem44ELLXp8SQdI GxljMMB6egvVAVsTxDc/FzclNTf+cIFzrLhOMe9N2rS7m57i1BbdycBx0Our4tSZhDou+UQP6STQ ghBO28IPv99Vu7+gaBOWxX7Fa6S/fR/TVGwVVglX+YECmOvqQ64Bwckxjs8braj02rYLRFueTb8Y LMSkcVQitfKNDMfSkyjgGMMBT6c7BQgA3tU6bRKaMKoJuMtdbXe8BuGiThITNDYwjqcBePf+4noK lrvGk4SN9q/bLBHPsk2A96c9ILnDCew1Vccnxi9LGw2agApM41ahr/RegiqB36Q5KNjpBwIaTz8F U+vuxKEazzHEONHEMm2g00Y5ZlHD4r85l1FrM9AcWlin+eGZqC3FRRcXO035ZFL5SR3XSJHZfJnn qjsYhn/Haw+1lbi5YovPl9amaxq3NY4B+V9xvHjg4DBU76ubz2xYp/CDgDZzmwb3b7u1wfxUJ8Qt GiY/H5tZDSYgSKXA3G4D0tF4KCvU4KC/rgfgoUFOEJ+OJjfvPzQ1uc6j9toz1ekd9aZ7+a5B2fV3 VDUVyfdNT64T+R7wJsRG9XrI16JQ4UbW13LzpKnpsTEcw6D9vskYGxYWxMV0Mu0BtuZFxIKHUAoA pONcdq1OYNLMGeJ4HLiEIcXFozIdd9dXE7AO7XCxsL5grAg0RzWd5MT4N59RhXPph4GPnW6qjY0n T1e6nFUrK02AEr+LQqdb6I00Af+h4Ipk3bSA7MvJtMN4Ri5YnI908PgGQFOBXLkpLAGDG/CEaMKq 1t3UMgLRbtAwhhAwyRS9Q8tJWikcMG6S9ug0QaD2TC5fGziADNjuNNm4Fna123C12/o6/M5t2kob SNW7+kCNv867tUzho1o/vHHB9NrWZ1pAo2yUyKzqaR98l5/lwZjwTafBxMaDMWrRQ4Uprlu07QIr nIbp78FxlzQhtzXJEbKv+AlP747zQ4YDEU86nti7Gk8B/XcgJw6vRzf93nSaKAI6IK7ZKNclCM04 GGDt9rSr8F40oaL2gkYhy0VDBjv+gmZFLTFpUuEEGV4biwBfjIA1tIJ60e9XHDtojaZt2TPpQnFz GGPAiWe/iVmAzR09kMQsU39ucfakkzmYcYah9IUQF2yCCWDKB4EcG/tJ6oMeHJVxifTvNjg4GvRx N4cvtih89Tmnk8TBShvFMbEbph80+sqgDOJ3u5j5t90/PutdeNGwxTVZ+5rlmhsefMPWW6MDk5GH MeceewRrYRv1hJqQaqStzQlB/CH+mywaepl9vOLn2OjxHwpcfi8pMLsEFt3VOJVjx6mp8MsRuCWS j41alva6MXyNtoAQBz40mwKc7kmDV0wFwY7tkUy3ANKmHydLsn/4OTjYv/F9grzKeB+YusTjItgc zZWIr1Gjiac7v5s2Or6PcYQJggFXmM+ErIb6AB+EYII56xPemWphHhxsjyYitTDT3AyI7zCZMC5B gwBAz1CraCbqAgBZ1BcGNiU+S/MwHQpkrISNh2uZ5xXj0p3kwCvJMYsC2TRQm+GednNLo5YF2IFz RQeAzZkdhLdzcDqvLwnCQy+0XaE7oPkexyBtemj5g/WDZpwn+Z20oQmdeV/iXuLhtK0ND8YhXqjX cqfFXY1znOgpxU1t0H1uyVSPh+QPabzNDYFFU21biyo/NhxCTCh1lUi6XqvJZWuzTQuK5hY1LxMg 9sqQasAH5H04USRyRhWYph7JjHXdpBOc1+V1orcvXp+kSV4zkS9dI1JBU5r3rDvRuzAKmqucnN5z +OfVi6eLvTttKIyiygtXNfE/E86dtptwGGfIx5i2+Hxx/CI2RSyPGhdNAZAUeR0V5n7KUghHT1rU aIn7mdDysQubKv47aS0DjO2uxjGiKTHEu2qlUdw/nITXTCEvg2uj4fn57HS58zPQljFm2zbgbUTr G+0DFCzil0NAuo2hT36gRu2bBzs/y8M+fj+NJdb8PSgZ9LTG9XbjO5hzD+OL6/Y+833HSFgfuhsa gB0fKEpxDg5NFV3sfrLETRK/kwJnAZY78XYojPiZ4YaLp13P/HSgOYGDGkRMjaiRMjdwurdxA9ga CYi8Lk1HZaSXdrLzu0a+7Lgq8EqlExfxcBRMDv7bdflMNl4wvUjJiEIYf0fKArUvvYYy9jNpsv7J H4V1fzHbpJJrhMYwH/KEqMERg1AcQjqAneEhQ8E7XAPk+ShNYH9fRiMXsk6eVSwQh4cKZ4s1M6HZ xazdtw21grQ+DTC8YYIO21DIReyVr/Wuj3+qT6KPxyXTV9eEmfup/Q4x911YbVVVKVAeAgKUHTbS gKLZyDXc0yzbbkyA+eJg5udv6wtGAVYT7pvoCOEz9ORyfZMTdtdc3TUOaCXNPmx2C1HqIty58OMm owcAEtRCFjq8w8w6i99D7Bv+DQZtCiPQsAriLu61qTZydHR0b3BST0DfENEuPjk5uXFKqJbk98Zk kTWeTpTASeLCjBpF+g2TjrhGY4TJ/NBwoNvMWNxPT+VgSkftJ96nZ4LvmtAtY0QHB2InwV/Cj2pz zs2iWUMho3O57jYxNSA6SfBMy9Y0CS4+CE+HJpNjwrSTkVxcXKigQwSCnqYuSDfKATMhxR39oQA0 he0uc0LncM/WJGPN+Drvx7VLQvEQR2HsJbVXmMRnZ2fpGZX/l+IXXQh/JDOn14+BZnpbawM+OJ5M NEHAfRr6DNoRBayGa0FQaRB00VMQhveKgilhzXCqNN0BiQYrYQSHiIb5AOPKtX8Yf0ZffEhmh6Ep XKpaP5nKRgNROxWOITTsKHAmuOi1n3Vtpga8VctlUqHhuWGoCDpMM9HwDAOiyWDFSbw33ZMrj1+j sACbWM2jibHENcWGm3x0wzIdCvoHgYj7M2CXwpYbGbyrvf39zuzBwvSThKeNmlcB8I/YXUy1Q6EG 5j6fM/Y9mnzcHMRPuLgZ8JwOCgjPxvpPLa6HH4UWBV6iI4DxLK2sKxNUaEh1Qu2KZhsEJ++pQDa5 cw64UmBh3m9oH2p+OdUkMJJ58LBvCmSDjEiW/sAM6a/E/nPdtlA7zbVPaeAzYIMwfY/OGWIAxTh1 1Aij5knroHd4Fp05jDWlQryqdSxpElJDVo1GuXqADP7tUxr6Y3j/+3NOulRKkY5jaxLKAy0ifiau uXhH7Of0t2unWI9XV1cKz5S+ZyAn1tfXUtcXSdOKGizWKIPMY8N7lukC2LH1s7TNZviPYTTdhuGi v6E2+2BFLpV2Al4Bx3fmm3nATHAad0An/o52s4LBTtPX9xLmRZYyTkXTECywtotNVMtA+27XteBY 24QQKhg0XFe1IjelhmZOEpZG8upllVDzEBPowLMRVfuESXon+SzkIaVFsgXXSZPG4XRAn9cjlhKz UcTvaZAq+uJmnJqWMCudLDcUAhqXtlwmzZZYBO4FQUVTOWolNFsZzqJmHk5i9wDjMGhDbjIKRNsI Y5lgsbmH2ago/Q1k9+9zueJ7xBi5kCGQyVLHuJnm2tdxOWbDRu9XPFiGPCBqTdw8K+liPON40pqg 8wTP0Lb9sVNIwPON3SeP1W1NBW7laY48HEfHAgczokU2t3stdZ35kCg04poR+YWwiOgYYwhYEv4h nRCFe6Qg8W8eZDRFowmo9/XPUtONbegA4b0iH47wsY4kMBbj1XSYjf30VUNiO+iUkexCMKZ6wQYe AwdE0b/oKtYF6ikyEkaF2MLNWsoaeW/MrIQWxsFTrxpNKZf+3f06QD8ORgzm5SJOdAEIZsegeIl8 xJhIvz42ddlKk5s72/Ad+24UPDd+cHojctc1qOXG8315qhPd2Hdp8f4YZJnHpkJmTUzNPIze6STw 6BlMWBzjKT2LQrXqqBjE0CC4rq+uVZvG60fHRzpe+BtkXHrYGDz78OXLhB1C+41rRYFtF4qd4B0u ym6sdw5D2DwM/l0LQmaMtKjcZcRoVp0JG8mvPEx6mGoQQNFryh9+Vg/RxmIfeW08O8ZCv6s4IPqE EKGwPvlbgzG2ANMf2IbEygxKQTmy0BoFwm+/PsPAMHdg76vZv1pKObF5t31jURkUSuwzIRQ+7xBr Js0jfj5ZHEH7i86K4XjsGp+eYuH7TgWWetdGHhntLmqC0Ug5QZc3XelN5pMQtAPbzPY9Ju3jyRzB df47LuakObUWsqIP4QuOiwRClVwZJuSzIF6QKA1vG2a6ZByf2ugq6DqPVew/Jt+eoaNbcLA50Hp/ mmVtl5+LYxXJcmzKa8o8+VjYdNGjSM2Ntr0G++LUHPBs/Msp6wRNVPTXTjtL/UIBpeZoIPbxpFR6 hI51t3G5yZXpjpQ065URXF37oYlAUikdHdvSs+zyWNqzyA9uZPibi9lfG8T5UYPigcUTn5ZAFGrx IO3hn555ghsYUEVnEnUHoM2jTQ4FH9dFndU9AJ/tQwQYrzXUWMTjde/LCctbe9bEh8v7Th6YchHO iGabPZNIs+n28NCCSHheoOUwzEwFWt3fG9+rYS/x37Az48BGE4ETy0UApnLsaBw0Sttxhvw6Bv6u 1xspSwimjvBpbnWTuMQLhqYaBy3S/7GpdeG5dmWCJYDojkVQRWWeLOOX2WnC5+Jmoqalz+TYV9zM JMklMNfvQ+8k+0mOVy/qPIyf3svDX2h26mIM5Ep615JZ6M8WvVvkZMVNaiFHXXiT3hcbzr+f0sLo 9Uspc0slHcmSFOKmdflrTAg4MEvjSRmF0w/VJu5qUShHHISZIvg79oteqoifbAOXh5u0D4V0yQO3 98uF8z3Z7dHsvqvFsW/dHGcf79M4XzTref8hIXzXuKh2owepJ5qEwIb3ujGlpFuDLgvceiI/M2lm nqHFcMCOKK5r0LOX9J4XK9qdAUlwpwGPMTtu8qBxodMcjMG78QSlNyhuLMNzPNWMhjYEWz4QEUmu 5PW4WHiK837sB+3gZFNjA3ogsQKno464yIDiOHnDkzT+TZxrK6nQtSF9ttLT2YYwHT4zJ4nPEUNu KCyHC5WaA05lkC81FYziRXataN5yvDQUytnpybINWmwKNA9OCppViPnje5HnQycAw4uiICXr3IiK necomlof03O2rW0LmlYtEPCF41oR/xq2bdpBvJ4GBEOzFNPkI3H3Lm2GwsTghI5680MxrHiQty4M lJx8z8OhNyd+qaSx+T5kfi20eF06pBjPS+GPRg1Nx6eyMDTegllPFUpCqnGPvqCJjvxztJpIfOV6 Bd7MNFbI2xbb9pEMmFN09cffN6SwE0bh3QN+QjVWA2xVCPQj5LnAmd0yei66YGV7P9Lzb9q/HQ6D ftN048JMrugBiZEbn3Y4JgWmEE+JZO4hW4QzyKM5cGMRbWtBiHT9teeLJFi+zslk/GTvUuEaJJjG FMs97S/gMHg2anM0r3Vzu6kS54Ibv8Od/N7uIPFMje5scUyTaZnvGouP0Oh+NxKq8vrtdWi6Rbc2 SF/RNRWiILghFMBudwgsah0enRA/s805cKO5ZtG4dzUxpH+ASRhN7sZhgPt6J+P62iU44zrYFZoz /CwarQ49bCelehz10IUTD+z5mGYIXltf8xonPCqTwGKKpIh3DuEENiWObltk0fOlHwwPws2FzlCq 0qzC58gcp1lpAggLf+ChqSzVL1IdR89Y9EyqRAfrmELLyZFoNsjWX3JlEmkUGo5TJDonQp9rFeOy +J563UL6kUhYtXXsOE2ICeSzxKymuuA9TCnSGqIG1GF4rl35KU7TUvvuHra4YDhfxJR6ppj/ohBn 4HNKm6Nx6l0FF2pXGhTsC8z60+XvYihGIu1iw4fMtBHP+ZgmYTQzkykKXM69b8l8cyynb6JaoRIG uquGCEyJjpfgXTUzx3DTlOnSC1Ik7PGOQykFXgauoZmIP2wMOFfxNjKgvNx5SMS3XTO+Kag9wP2O FnGvuP6xXhibyX2LeYr7EFAE+HmcDwbQa9hd089/R0uOBTx6AqsLpekPEk4kMJljnFxMi6ILWL2M Zhtj8Wuq3dxKJhF0N4EAb84mqYO8jw4ghBpUwck4pSYmh0nNHldDQXrTNBjkhWifulQuFCzUKKjF qAbnJlwSxO4ljF5Oo3EYxqOL1xtd+7ZWchm1buaKY2GuPUZcjBgSJ4CTMWThG74wTuQ/5ofnTxS2 qql6ADcaDwt67iLuR+ymp8EBaA7Aas9kVZ5cFwkAEB/vIVCY2FCq5hKEfxRSCQf8SEKLc9XDkjRj Zj8VcNSeeGiywhNoLVh35dROf3WgFLY+aCbH4HgGBA/JjcTyhm1rILMLLWI+IyyYH9AsM4c5knaZ 3LvGPPWPed5FLMOuZlixt1ShcPxtaD3FRiA9YsuUH0jUCRoLvwtFJNISGGSonurgYWTaJeaHizSQ bSC9vgNSFjAmbFY2mmj0LFmS+u5Ujgn+4imIBpcp1D0uCp7M87m52scwaVwFjJhU3MRRGzLukCXj p4nH36RsxY3KclZkQLMIBE/TBBjDKefaBzcvizXA2qDWB5sa97brd1ydXTwsNMarkTsU+8fAYf2c v6ZVbZStbW5yjqU6ENxZwXHEv9egIHgaaDpDQHI0rIvJFTuSrycO6wX0UqCTn0VglAuK6r/2JbdA aS3dBgFQePpd5wfRQRBLYW0TXh9iMvL7Q/MgWQUB9+QhpevReXowHzcwD7XWXz+/fOhRug7WLA/i 6O3b2uctGUyGrQgYzw9poC7gQCuHnsJ7NmJqOITxjHv1VKZODE/71+f/RvhOaDHUJiUBZBYJ9yY3 hWlGqKSFPUCIRknkvhdTsoO2kb29/Z5CwD2I97dld1DiaFfAtLPT6c3C5sdv3oRMaNV4nD0NBjxu SK8T/saNZ9ezjk/kkbwUggraerjI4eGRXFxeJEFA7Y7pgxVM1cIKI60eQwcAhYYS6by/kdYQWdhx MGLyvYihcdD4fZsIc/Or0HHAecs47l4sqMIzsvAHanvDU5JgLfvctnZ/Po9OfG3kQSwAzAnzjLEY iLLdQ8UXqtRRRcdBQdMwxaF5xlHGIyq3jRSGwvLcQ5jqRtbspyCE2nW4iLkeuNl5z5iGmJt+aMpg 0RKgHTbdEF4hJ45n8ng6nw9Md4xJPHTQkhns47HTIQAXWKo8YwdIt6k6L+0N/HSH1hX7b2MM6ES+ V2N0yLb737fxkKMltMuTiXFmNaZtLa4lpdMELZeyQVMrYR0OCME8VPs1SPsZguPnogITm858xDTi FzXP+BJlvCzIFZ/BDYni64auaxNcZSnHR0cqULhxoJUw6p2L2a6xUKG2j8KlXpaLC50mSQLfPBsC FyEHh5ywCJ4z9ksrLmtNvgPZR0Vp5lr33O3xe3zWy8tLDUugGZpAcbGE/9ikdpobfhK1wW5hhkEe BJJ1V3IRAAAgAElEQVTHjcuTiX/zNzc/NdrYyDsrGgY6d+YjCLdmttu1huEPfCa8xvxcnJeYPRTC kIcFFh6ENF5T4QYzEViXz1cEgtF6wL+OA/6GiRkyBrgnmZ+5rUXtPFJChrUt7QC9v2eSmqpqoY4Q Mj1OApPLQsPG8JvrkWP2IY3RG0NxTLO699oWrIwC+YeY2JmvA2LAtzWMLw6nGBsYGzMD4yfVHfW1 pY4gLaiyl7yJCuc0/nmPmmEtgsid43PzgFYyqtMZhm1nimRiMNR4tADleKKmDGu2Ja+AdwThGKwU w3Jb2iEwo5NnrDMhVV33k0/t2YWZJrHQJXONsyQVTlOmauHJlzgmPlDEyLRP+t2pFLl5HrXsWHC/ xxOUeAmBcGwErX9YV5JvuCnMrUy1FY1u755Zi4j2UPWZ+AGr5EZ1mhhd5FUxfIK4gW6axoBMNXX8 EKCKTpOdQcDEBZLpDAzKU8rQE6lVb5wGovdZekbRkG5aNej9A9W8aDrDvNJTOHoSXZjHmL4e1vs9 TEMKEfaFC5qYU8wGu+360cFBbJRjw+vqvEvVY6+rxpqiKW4metzVbjwTC5MOtA310jrk0HcU9L9v eKopDt+3tR9ggiusMO1iJ4eN6wfPRDOO+4/QjpW6M3gpVjOiFYN9zGLCMeMIP8d9rAe0ZwGJbSdB hBPNgVTtBSfm2k6bVDzUVTyqkRASWNha9p3R9sELhkWNCZwvFpoVdOxmAysCD6UuwWP+baeph78M JpygesSUsIFp8lCDizmniTNhIONn7T3bpDdPnL7nLwqsNNnOSufYJHOEPK6UJcNAuIitEfyl184w BuN+RdOL1XZSUcxBhWkNWXFvpm7WoMlyI2hsGcF259IkzhazAvhppyaAl6bftol1zEAF8FJYHzup HRe1zrFibUEIDCobaWHc2gPxU6rqLvfVEF8jXQWhUEMgn1EU99GwIshtDg3zlEUYQmP42ptEbT5j l3nC0hmRLJvfk+MWNd2hwKKGHz2FSlsZ2+ukhMTPE2inNcR/0zNOy0lrdKKMG6vyuDKSzEZnvkec bJh2yapjWYUrcgzvJbB0U/kGoYnEB0ieNS9vPewcGjtEHhClsV3H0o9EzIF2a+RcceEkc9UBa6VQ JJKTbcIUNhImhaWuuMhTUYuQbjbSFmKKEmpbvHY3gf3YswjMUlvqJrrPdI8aIT9HF3zCBgKHioJD KQctNBvTXuDlSfwpLObKeFUGrvYBeoRE0LzkPOn44j9fbAnvay3TQ1wDnNeeMN6hbSSzV353Tc0L hFKFoqJxHlVIeNYKFn8damq7mmoQVSVXl1epNBvvuc2BcN/+wkSCpp8ERNnn5fF3hA0M2O5iX28D 79uQoYR7iM9MhYMmGueS5p3OewjJi8HmhCm47vjZaAUwjEyvq9EnIaGBzwnXH4Q0o1DYHx6+ETs2 Td60shu0hp2TFzYQByyeMjRJ+Fpyj7t9js0PrUmLBeR2mnBjqHQOUp5aA71/w42vcYcsP+GDG1Vo pgWJZp72vUB+przPZwq5j7iBaU7Rs9g7zVwg2qRgA3eLJOI4FFg9bGqgKcZ/p5MvEAuTKR6FG7Ws kBpYF6UXU0gL0TMwxEXA66RN0Stv3u+bfi4A2sNGIXhX+yF4y53X9v9iVSb2LWqnKd5y3I/GuI95 hI/ASjg+Pt6Jo3xIU2cKhb5qGbtbxJG1UrM7U5TGEcKjhi06c3R/KU+uX3Iresi5ngk30ATWStvQ tvJ+7YCkkYbkBgnGqPq1Ko3pjz0Da6Zzuigm6sVz6dWNXk+udVo26iDYUgBmt8DywcYDxHxAEWuJ A5bMgUCFkLERShPhMJqYDuBOEXTpqWcolbnIlHgWeEfR45g8OCH9SgTCo6eKmgcFa3TZx00deWTE fTSkKO+qQOugBe8XB3u4mFIloEE4iPYrmUsucImleFZUy5LhAH/mmUADEReLY17Nb2h5EfxHg7ZA DVbf9+ukvg7CeXYVR0jvb9MyAr+HY5Heco7O0JXWE9g7WhSk24R9nHOsJY1bYwZNT/XM79CEvOue vc3zkUKMqGUnAL27WSrcmp6Z5duxzpCeOZR547Og7TLzSKRkMd64RrvvWjopvkbBQX5QzDiLFhWH eC0qBQle6PG3urTVhmHDy22WEgPmY8430lCStZbwvQ/AsNgxYjNoihvkXfhIIuLRg8eTzzN0coMj +ygeJZpfysuAV8yJoEoo9YRrDDjetsAUtA8xRhpA6bUKY7A2NxcHnNpIogowNezeVO1uPiM5JtGO Twx0fSZzxQ83HbW4VCUZ/2EyY14fV7u7BeBmpBdEzTZdoK0GM+up6h7bYHYnFjxOVg8mjez/dMCo 5tWnbyTTCR7FHuXk7nVAwTd0UMTvM90IDwUlJMYWyk7ZkGz3giWNPVYAdydEfB2avFJsVqsU88br ogxab100rkncQkvAsyWKxEcwbhO04QIlXREb1SeYGTcYEqQbNbD8bxO0LYW470OsNzTuy3iQcR2b MDNNxiIAnD6h+6VfkWpXPObQAQJnFmlGnH+GTOEZI0G7GLviAL4hhCsSKtZ2oMbMGjuJo1sHwied C4QSVU9356hQKEXThERFpjZRe5m2qdMhohucXkAdBA+uTR6cwlP7OikxDhiluXp1UPIpaE222FFA wEw9CqGi7jY+n0dxuj3LlEphasChqbnqLKhqWdfr5MbFJrHF0IHuSWPzIFJoRpEPxZaCnzGR3qJW FLXHpEF5Ng2Cv7wmowiiUOYhwjHkdXjthG05cTdqtLdtirjocY35bG6RAhXY811sGUypyQTjzmwU N09Jy2PWT9HC/jG+xTC1rlRU+q6nfInmOJLPgdmuFSFDpRamisbLoKXc16SFMFfP8C2pmT+URGqK Zt8qYYYUtWaYRBKKgAbxd1ZCfN5s2+HiBGGmT+IaIqk3Jirg/FscqqW5joeoceJuYbqH+9MColON /Cwc1ImapAe8E6aRNXQQGpTSE7mmHk374bzo53cOMO1dpJ91PgrBzKEnDy3iWJTs3DzYaCScQhJz gmmCoatY5PraeNSLFUvJ6py0qeakD063aC3neAT7uLnpTqUnbGhioL/wVs5DKE9M7Zs0BccJTAuE Gtx5L+nloF2v1w65pKKJEU8mXh+bO5kzHmelgsizIpBXSc0muoPjicZnoqpP/gv5Vr2UNm7acyyj prxtLfBzCXuAICDQn7ASi8Pk82Ez2HOb4LJILFvQtkH7ueKjHLCDwnHTWwSNQQYI6zIKSYQe6Jn6 EEUJY0+ukILNrulTc+7Wjq1h1WD937tMtlubWgwxfjaXkR7+NjbDIOdmuJFDqBTfJ6RhfMQuVTST KnI/UzuKmSpSwPaWxjXF0nB6kK/Wume5NvVA9/1AhxeL+iICButRo0+me6qs8N783SMFD5q+v2sc 40mfTuGYi8g3JAeL+ApQfTwMMldqfOHYyJo2IB14F9N2cPOYHe6xWI45xDJcvF+M8+IEMANltKWj 9pBoqFu0CYbjYAJomnIDU0By0rGYweuqoUfHdTcE0vmbcNEtBEAufl20nhmhW/SeBtkFKfrIopcc T167Zxq6ZqPj7WMThVx03atGSf5Rmn//P8cTovlHoWkga6PpcPrPhrVDDY/Maos51TRA9hF7nf9u Ywrl+294bhQVzB5aEx1DFATMXX5Xi3ggv8s1lXAZP9B0zHWTdXSc7+t0UAoQsrpq6iDDsjYbM9Fu M2EzfyFqJkx1TqcBs3TgM8qnnFooHEOxUvl5JSf3q6LHdcsDkGZilZu3npqT9sNx7KTJ+5pDJmHs W4bhAYrBM2Lf3dBkXdGOdCLdD9iLuwYQajtUxvTAjjUkbx4GpTKPQFzEiSc0MjoAFw1+Q6ri4eaL uV6XZhcp/mp6IhTDF0A08eKz0DSjVpPwjKXzOzxDKTUtPRlKOxkik54FOPA5sPSvNte9DA/U4qLb 3EYveCk9WygHlUJX+67moWsOjrPx5E/YQziVlSCYu5seAsY3BheNuvP9oGAGBQsatROVJikuiefG 4iS3ChsWZF6mpOEhkbLIhnJndi0DThHgHU0pCvBktiez1VKGKIbVo3uYlmCaWeCeJQit4y2le/DU /YDNH2kxPJAwXlpgZYfmuK3x4LiRfnrbZ2l6BupHer4dn0fbJtgMyzQSLzV9CPhIh7irRaFJszsq HWbCWWGW5AyKh1rI5suGvYp9y7EdUkN03UCT4gSGAI0o7DjnZgLfMqaAbjJo1Zaym41rs7xR9iiQ yXiyYNL39vdkMV/06vCl77i9jQbzjbGJnHSofmqSKK5kElrDbapNqnqjkh/Yl6ZksUoorKVH4WOS 3MJLOBjAxSClVYiFlLEUSL2JDAkJ0ZSd6yE317NZYuFGoiCFFTkiTnQ3oB7EUoT7jMZ6OuKnU+0t 6yrU/c16lTZhDL/h5OlCBXbhfBfcF5ocsTSlVni8HG1+RB3Qq8i4QgpVcmkQlgT8EItAx6yx7As8 EBBug8WG+Yqmoj1v35NErIqkYJquMUULT2BdNz5eNoamtWID0ZvVxRAGXkevEkvyCDglJa22rRuV Czpqg/pMbdiw90zRi0gJbFoW5+htqEAT4N8aa+vrs58Jt99d7i18HmvtNl5Yt7HvFlY5KBwUQq6h s6hMCjtSbMnWBtaEhfx02CN/a9mv4DxTLWjPoleyVUiF7I0k8mjWKbaqa6aS2rOEaP0HxOV6DGu7 6CdSTNCS87SGoYIJw9p1+sQYKj1V1+YJiKZccmduEAZiOa9wQ8TkEZimRpbsaK8Rh9p3eyOzY3Et hPWg6SbQjd0B38qCZ3rmup8hUydsS7ZE/k7AuYOStLvpkRh6YbAZycfi+12okOeNz3xRBzVcMyoU XfmuXh/ce8LXNJWNmyhxc/F0o/mqDgGGzbiWwjAfmrm8XzzhaV6rKesCnuRXBco9z7sJKBvLaAJx PHgdxmBGHE6FWoUAdcO1+NlOIyam5Savv2YcvC7ttM55crP3158FY5uzxoJtTVsdCh8eAJxnmvIa C9vgsHC80aMP7J5dCFWMErAqOI0WkOBzxxYdS2w2L2tNr3JbGmU2rQ24pd3lEdzVTMvp7+N4HZ1T ZhVx2GZIN0n7BpYVA5tT+pjbTd3h+2Z5mPeb7+eoEg/rBS/QSQQsTccz5PvytaJplLaMRXmb+hp/ hu5kegf7WAs8Wf1kb1Gt04di5eFQLCF50hL2YJvKuEl1Dx+LTNw4wfg+A3vZTNIbEKhmkAo9Lzvv iziyy+kV1ROLqY7DiY1sqthcNIO3/cSTN04mX48EPl7fh68XwsONLQppdJ5VvUZhHtihis6NyzGH hkZuC4Uex4L4UpevjOzqvkcKC0wXVcj9HoFR5MCnxqGA63JluJYXsbDQoA6cTyaKp+lRAUIsa6CZ MKdaDfKvCqOOZ0cuT29tRQ6eDmgHNdBNzgOYJgrHh2tRMdL5WkopexpTnNN4P72Wr577Ym8Jr4xw QEil1N3kXpfTdpeg6z2zNpKwCTk4pngjJrOjR3DPD68b42r5/vdNhcOW79CId9MaEPRLPAAP6rGD vEikO3Az8FTX4Ehnusfso6YVeD4pxOi5qZFIlm7G6cICF8PVXLwGjYu2PcwhaHs0Y7BJeMIOXdfc iAR5a9cMOAGq3VEryrrNaeamJfRjqfnoGLgrW0O03yPIv+1zXEjUVKgdQLviPcmBo6bFa8W0v9w6 FGK6wDxXPOcg4n66MJiRkw4K3GfwbBK8hMOxVXJxMOMSlrlvc0fvYJcfHqx9z8hKrZPGTywT5849 W1/20zNx/FDh8ydNFxpS1g9G77DQLiliEg5J+3PBjkIJ7g1W7++gfBznOuZvgkdP1xMwIq8wdHND xUfrB79va91hHDw3H9qiRzOYsjGu0bKEusav1KJKmnDoRtwxKgtonIMhFhsPpx/SPihFMkNYkst8 oBom0Dkslhh3ho3eIGaKsUxeasso95bLSsFKr4cWNQCz331QsMgTIx3ZDiz8h+o/T2s13caT3qLn wuPpqi7iLVVskmlC8Bx9diCSlXI7oWQLgB4WffZgXsbx1FPGNzHfi3Fe0fRKmoGPLzwwcWGwfzRX yRhGo7nDTco5i1pi1CTJl7GFhnlj4QkIQOQysvvGA4RjhkME3wfmyNM1eqJoquJvVsdOS8q9P0kn vxOkNrZzp7X2vbGmkWLtBYcQ+tmaB5TjHLXkePCxDzQjNYpgZCYgPWekLLCvkdtGwceDRQ2ee+zR WAmGv+OBEl/7vq0KpeV5mFHgbJagInQmfj7UFsN9h/Gj2i+vTMS1NjQ/f5etjInrYttWLHTYoeiV UBOAFTKKjhmeUkxgM4agXKxe0gcAjMYThwuKWIfdyzwfEGUAmcfjkBXS069Y7uvAsdpUiddlObw7 zosMCyzwb314D6JlnvoAwMd8Tumn2T5WPpCewaDvfh4KN05+FKQ31XMT5NRauVhIt6RJ26y7DBuR P8OYMfMmghaBoGm657vQKoCznKNoJgypLAnfDBWKNLVPoKb0vH/BarqLaMkDIgG6O8JR9DAiHSZ4 F+OJz/G0TCHMVNt3FqCbFMrAMaNQ29VsjVjl5F0k0/u2aBZ+jNYEhYIZbznPmgxzgPWaI+T2Um18 r2cOBwdEuh7kwJbniHDC921lxBVii0nq4iDGk8ZyIjk4F3JtR8yLJpem3fWNQ40GGhHcptTk7FSg ptXFJ0VhBuGxQHbTtXkvNS+S86eGpxu9bkMsLpWfDwUDuufvF4hQJ8DIHAW20G3Tx5jKOJExqwX7 HNPmRE8ex5Z9IOUgCgReK2loPp40gU0wg0fVaRnclLGpxhEAZ73mgDiKZt5dnekbG8i0RQj/ZQrI Tcx9/ufM8tsCqe/TYijQtsa5HI+nknlQLT5aVx4SwuINvfJjncYV1xTpHeT00SlCQvBt7Taz7oe2 29z/92kRV4oUncQu9/6btn339YYJELjHowNC13dU0vwROOY/WGCxhHVUR+0+fdOJAzB051Ig6AlW N+o2V1d7Cl/pS+OYTYAxQzFrQ4d3QUvDQANc7XhTXHD2utfFc8Y0tDx4K7c14kO4B5MM0oyJE+Cx HQkwpjeLgC29pEO7nRs7mnoUMpHqwDGLMY1JdQ/8MNUsQr/pqSQWOMzEqW7rMF9cRFETSgIQKr27 rFVryvoeGXNBm+mtfzuJl95YZoeABktzHOEsZnIZbQM0GHKB2I+4tvwfg8NiVzNpNDxY9bvE93xO ovkdsTjkleLYMaSEgp2HZaLchBRH9zFxtmnC37cNNcOhQGw/4NpxbGntaO43nZu+RsgCI7dxz4YO KY5P9IwnbX6AYQ0jLb5vK3VzjMw06w1G8ITZ0/ft4lT2PCbs9/g0JWR6HhsKLpoOXBDMEw5uEYRT wq6cOQwMjKYqXeost85+cYPa6WjFHhA2s02tNjyiy4/NCdABXrtXiWxdNW9E2oqBpUYzAJ+k0IIW fTJpFMTx3vQ6xQ0Q+8+xpCAhNwdjgzGAUGZBiCioqH3w/hFM39WidsfsGKB36DgiFnNLFACvHbFJ mhcguMboe2pZ0czCgWPWIYtGdCl3ON52T/MkMp7MmNr3a4yx3EbJoJBHU0zV49pGk5Fy5Mgt63hI eSrIQe/prsax4gF7Y619j8axjthsE8pffci1yZGL1kU63LfM831SMce1zvU0fP7fOYZl5Zv6bPK4 mZO2kNsGJC+FaiYbtRaaNdEUixs7hUoAMM1yDaKNICS9Ocp1csoDY7sIfhOP4HpSRvN0qgtXBaGX 3YoxU9Tg8DdjmFL+bk+/zAVKKgX7TsGMzaQZVSfjTjsJzoI4PtEUYRR71LxiUj2OE3MapdjE3MFg x15ikDjIfMxUkHhmQUuLGh3pHugvxomZSBkDppvEtdh0Mga+UxqHlRFN+QwxE2XUpBktoKRZCOgd po1p0J6eJIQ1mWcxpkaJgdE3G/oGJwDHDc+Ag1DTeTufj8/XrR/TzChcMRZ6WCwXMh1PjSR9C86m jhdYARg/5pPaom3pa/cE480bbocIrAr1qHpuq9vyYbH1NLGQ/43CZSjE2RJwfsf1SSWJ3x+SPCNG eEPQOqWJUR9DzfE+mmTyEg5xTW5AqstR4KDRnMKAKHFuvTLG+XRPLi4uElscjRsW1+HmSQHJTSXj fGzR8UFbiM0Ad3PHkllrKqZxdDTY0gcKC5UZTpl/noJPNTI8qAsoairI4MnJJVGVIQYxcyoLrELQ An+LZvFwwWxr1Aijac1J1jJmITVLIsd6eA4WCwUyowjoxqcXi6r4kFSpDGavGaeHQ2244zCrKoVi fI6i6pIqqvBcGD8M18RcAwKI3LGYD16pC7cWiOhwsr7AGphiIZurbgQNOu5Cgkg1sSverOaM/6b7 05TznhuP4x0pK8dHxwYd7IAWhoA7MNWPhWERI9LDF1EY37fUzoc2st7vUI4ifrWrMWU6fusBHDKa oDFluqb2DgkSh4B+lEGx6awgWwBAbhA/h8KCFzk/v9CbpwhrV/N5UQPEzeXOv/GePoCbCinfOHI4 hXxIkzG0lUZqt6O3jKcKLa0S7UKPWFSnBZgazOKtu0oVxRgqTgLrFg4xN2oanQrd5Vu6AdYPSIi8 BgU+JyRxhQZZMGOGCI57vA6B+qGmGkvLpz4FzS/yjobPHU/MCPb3x75PlqQQ3caz0UPJmfRFe79s nVh34NzpM/prIA7Hplwvx1p1AYe8UpYBYktTz3sfQ2Qfo6c2ji0FNjiEdzVbR3cfUv9/azWiAFBl yr27Hc3JnEWsmwDNl0HYaLTMotNqm0leakC+els6wDs23lRdzHtWBVi/GPJH85SO34mmRFGyqrIX sGBdu9YzkkbX9Jb5t4fyWCL3alF9TgAf1W4nJEZcKeJGdN9G8yxxo9xEYeyTnjyh2jFNucjtGY4X K7nw88jsoAHWLlgIhketTIXHqFSOGl6e6kR25cyoqSCHFp8Nv2mGo0UznPFYaDEqgKE+fOYeeTM4 PYZCik012IP93uv6XHUntPW5UcghhBilxo8NTIVt7nx1esCMCxWn7cZhXVLzdLM5AdWOOapgxZw6 ZqdzFrzX+DyxVuZDswB8o8DcXIPdY3ScvG4dfbzWd/T8zlvW4Yk//FKGc0JoEUfjuoh8N40iCBrV 8PdOk5BMVgC8Q/BMJ1XTBNcqETvqQWcKRdcxTTIC7ewAvqv8rC3xasSZEskwuEMjSQ3XjnyxSHmg eYCmCzRzykWw5aNJoRk+mdPdkwwye0DCYOgEGJgq0Ah6/C1u0kEOLabtWC5XN07zoSZlAtczunIM svqG5jZMYrhrYklJMXOIaZktZm+z6UitxLXI5FdSqlfqDRdL10QbId5lsEBtuiywm3OgNQ6RUeKW PRBpM9scJax4vR0XglZqQpHk4KEGSQ0XAfbDceP4qJbpzpzbW5evK+GyxK/uwSu7TyO+xntgv9D7 e2dr738fZvnldzTm1CubI2okjfc9cbP4GcWP81pzXxmhGXmxMLamQY+DJpsiUILmG7Heba2kkLLT dfvDlbkzeT0DaAw+jic4NSuCe2SaWwgEBIGZIXGzIX1yzO4QMyxETUYZusyYQMFCj1RuAgp9pQDl xuPERIFh5hCwGSOX4jXN1aNVpjtPnt2oM3WsAhASAlpJMgo6ltCKrF8NidGA8C6NL0/M9FzIl48i HQrqO1Y4SBiX5sGDdKPpxiiB9GzB8xb7T00gZf9UGG+vhzXgoCGg/30a+0CAm2shPEB6jvh5zuVw Y3A99QBrss6Dac9hGuKCSttwhnf00qa3PbFd5Aft2pwxUJiHteJN+QC/+kAla3g/Wip8jtKFFtP1 bGvJTE+jcndLsIgD7Qzf0vnKwik5DL26hROX+gOmgJcxw+exp7DuIMD0qshEXHsQfzjkI1F6lzmY StUTqN2GXyXJN/bNseriyqJGgYbXFBh3UmHEEfhCVP3MI2adp0k51PKikIlMWQpGnWAdhFrqjdnJ UYOjhkgh0dnUNl+95/dexiBZ7SuBXeco8TsJbHYzMMZDDk2suEHj5qZwKloPSvYCoTCzesIJ/65s QffCe2oT5onAGXOWuVaGg0JzZdO8SDXzusBnBnSTWnDfxoBpBVdbkeXGUv/EUvbbYjxtctid3Rsh rkkWaKBmqM4J51dxjXDeEmbnxObhuo74oqb8psbWWLK/GOCtlBLthmvIIbLgRt8/QNMZ9qvDSsNn mHxvJ1hnbddbcf0MX09f5DnmebQ0MyksFexP51XFFjmHpnkGD3GCJmzctFK4p43R7yCdMvZo4yXE Qm612K8bjhdvOivbiKP8cuT/YIJixZio7Zj55qdraalAEjO29ZzsTCurKUOM/Z4oAwH32mYG8B7x PQo3NRdXnqjvqF9DLv7un7CylQaQBhwbwnEnxumRFBcXlmpEjrPEAec143Xj/aKAYY6tCKJT4CUN 0zOMduE4Xbkrq3riqUFc+Pa+699RYc5UK0Ewp4OJJtiHCCxPW01HQvSCEtiPB02cz9s29zDfu7am v9F4P6ZtjqFNVpLNcKZUsCSYgxwTcvv0dafDHJfH6XOzhWmglrvLrotxnIb0Qr32AVrWcJy513pF dj1bKw+TbY3s8m1N88aHaw6b3aK/nmsoJn5v9ic+p+XrZ9JE+xZmDGPEuYgZHrhWk2KDtZzZnuFe igoA1+wQH0YrTVhsL5XdPVSf1c6BjSRB8odSkYBAWmPCv+iOxkDGAqq8Tzwp42tRdUzXDYNMLyT7 x0YiXnyWDt8xYYPBo9fSPtTHJBjoHCtGE9+zRVEp+ZKCjuRKjhHNB/aDQiX9DpVkgGLd8CAqKbcr EZZKqQeippFd+6ls+F3+Jv2BfWNftuFH924MSFZibdBgnQwcPcYfq0UtOoYpaZSDmzhou56LlVli gV/8vQJp1NMP4bpLPQRBSO72RqOpnGtpJ5bvCVrIx2pcWz3h4uFo33v8Ng5y30GRSHnBwvqOa4OI FwAAACAASURBVLgvmPvWUrrCwEs+xG6jEqBCKeuKGkcz0CCk7f1UgbX2VC29BwgZJNl4IqmnK5xw UXvgSaqeIgWvvdOuPjOujl6ZyOuKgBsfqgycLd0WqqLbfamZMfZLUyAjq+EyuKWdrIbQEfYz9psV fiOgT02FUj7xlwZapZ4SxDZSVqTOjCHFg2apD3jvGio8XWgD+KSZkk6mVG7KUhDz9CF2RRyFGQM4 luxrPATQzH3fhQr15j1kp+wBR/z/QPHQ8J2qllVr2R2qTS3LxUJabOZVLpszkaIZSzZqpXzSSDnx wrYlC5v06QUf2m58R817jA039s0VP4QjME5KYUgOmX5NQiUQDw5yHsCadPB3zOq+Cztiuw2kjof7 bTgYPxvDyG77Dh0E2yyhGAUSBR6tK5rpXMtoJC8TC+a+HrYyqrvDGxOQjJ2Kan7UkMjQJcg91IL4 XUs9YgA2NwwFYQI+KWSCWbBYGCHNskB6EC6S9iFxfw31spBxCbtblK2cBAnNzqYzGbDJCXqrVyQ3 8DmGAA0zq8b4KbReSW8/bUhQjZuQtAQII5oeNHsT74RhQ7G8lxYEsMkFu5wCnYRHVgNi/6I5lBaS m7IUvmoeufMi4XoIAu9FZAVPaAJfLeUOhNJqsZLNupb1ciOL65WsZmup1q1sFpXMVpfSjNfSfD2S 1Z8cS/H2QOTRSsb/8FL2n0+lnOYy3i9l73Aq0/2xTPZGMpqUUo6BcXUk2dta0tZ6WHd2I9mhUlMG YH4S0Hip8mpHLpqT5h4xSsd0EB6T5s01HmYnuU1YDPfT7jftF/ebJSo0Yqp5d/t7sN0SlbJNcPA9 3QPugNgmiDT1eN5P9Mhr7DYlfZyiUPGkAGiUC5ZB2BSPqKlRKNKBwUO393zZDtB9V4diYYnI1xkK IR0YzzLZzUGrZawjJsRNhHSywwFnaStKYE1VAtW8hGq+TH2yfNQilxcXynB/e7GQL99VMl9s5Mle Jc+OCmWua18TrmR2M/hNB4cH6hFj9gXQLXDdy8tLLdLAk5cCiWYNhQKrAkVhHFXeiFulwdfH7r/X LTrDCiKhNQLW0SQecnMIrHNxRG+YCrfG5i8eDgTa9YAh+TfUSIwLhvOyXm1kMVvI5buZXLyZyeZK pFmiWkYu08ICaRG4lNdrqWQt1Wkh1b88EPntQ2lezKX89zYyPjyRbJ7J+qyW62ohbXEt+bSV8XEu h4+ncvL4UPYOpjJC2iAP7Rk2joF6awP9Qln7yCzr3LU0BlovD7w60Fe6uoqgOcSqTNSASXHhoYNN tgeSY26UHGoEUz3YrJx6TwvqKat9YRbhi1h9KnzBBEuDUKqF5WQHZpwXssn6lItsMDbEiiMfUefW cWOlnPihZ8TYdUq9rYemc6JIor7z0HCeWMyQu6tFmgaD5hXfxny5Nswxj4H+/M6w3VI1xyuqOHtd eVhlLoeHB4nhC3IYsYBEEkvjbx1UMBQgW9FtPHQoevvgpYEgiThV2oSOBzEs5ezsTC7OL1Iy+1++ zuR/e/1YapnIP/jJWp4fe2ydx0iq6YL+aiWZjSzenvYwLUwkwdboUIhBvfiN/j169CiRQePpRQ8Z 83GlYF9Pv6LP6XSBtHDDxojhBxhvjtsNk21HS2aiZ8JUU9rd1BxfCn/0Mz4bo+ixQYqCWQ9M+7ye zeX0u3fy/tsrWZ8jTGci0+LQcill3eox8xSFTM1MUjwPVZa3NOAWeyPnRa1F2reNnL9Zy2n+WkYn rTz88ZE8en4ie/tW/mm4ebiGdOEH9joOkkhNsA3Iyj5d3jD1TI1Gcn5+ruOicIJDDty0eoi51TFG 9aehlgHZ5AJw6d7XocCKWnZMtcPXodHHeRjOp5ZEUw/43ebg0q2DoTeP1oWu7bxbV8mJ5tq8lSmD lrqdYrLdJO4yZGz7HBsymOqzYw9DULrz7np2bRmJURQlhPAxOQL2SwzdYbszOQ01HdwEAmM+N+wp so/RCa04szLQnZ1Pm86JjHRHQ9goFd95RNEcjCAdOv7+/XsVUm9ev0kLGANMzObffVbL05OZrDZX cpDN5d3FvrxblvI//OpQVu1E1nUrZVvLP/rphfz7L2uZjjvTkERJgurRRI08MPygziIEJU/4J0+e yIOHD/S5tS/EfSLfyOkDTOq/7eSiiY3PYQNpodkBHriB2R6wge63BYHneRdwze9oiNKmUm2STO93 796lUlwc65iVAHgOKBCXF1fy7bffyJtXb2WzQJgNBB2Sv4lm86QQ59zDPNcHHNcy2iugzvYgsKbZ nfUAgm6cTWQkE5HLRt79q7W8/tdfyfEnY3n+kydyeIyiIP2YM3ipYuYQbtqhgIsOhk4TEtnfP0iC HZkbtHyav48Ng/Qr92WYR0/szWfbLWx2EWJ7379XD3Y3PnvnlOhSjBtfyipNKyCvfMJFigXsXadv f/fI41p7FAI90GGgZDCbCN6nVcPIA4usGetrEWiPcZ01idODdmshVWJLN7wFgV+l7GwPZGR4RCxH 3wvZcfcmTwN6DaJ7nYvv3dmZnJ6d6UmIBcWHMQysq2778LCUB0deQ6/CySvy8HhPxoXIn58d6fWm eS1X9UJq6XIlkWVLDIf9jh6m6ElLMYStaTGv37yWt2/f6vOdnJzoDzIopJpyDrgTa6JQTgkPA9lT y6iP7ASM42AqMnJLWTgMGmO06GqG9kwtiXNEIUhglFoDKwjFexBHAxn2+vJaXn1xKrPXG9msMpnU j2WEvmLepEtBY1y1lci0lmIf+IRVcy6LsS7K2e8tpfr7X8vmL88lXyMrBxIM1lJku5abL/W2kFE7 kXI9lvVXlXz59kymj97JgxeHcvLoqKu6olPRaTRqRni4l2ElsRoPWVN97xfGlaYHq5Hj76j936dF x8x9hNBwf+1s7ccB5jPfu0wcQAHBBAL4Npj+PMDvYxIyi4s+u2fBiFWV2mX3d6QtsUV2AR1eCWtj cgEPxv8ggZVSFTswxmBjPc2aLouhxpPU/fzPEXvh38R96EpmY8ZQ/L68upTTt6fGjIXXx71gCUNz zSXl4UrZMx20Q7GUopb/+he1/AfnrzUbZZm38nsPGpl499LgOZeEwimBuWGckpfTMTiYbATscQpU S8ODkKHi+ORYzUbGp0XzhHQE0BZ6GQUcGOcpz9dpSoKUZ3UBKzVxVStCtMF4nIQRBX7ykrq5HIuk YkOjRZyLzwWt+fSbc7n4Zikym8h4M5Ux1Kkik1osPUzuXKY0v9JIu26khiaXraUqNlLv1zLazyV7 2krxdyop/vhayk0tzf5a3pcrKeqxjNqplDJBTRoVYIl9n9adCaW2zqWdgV/XyNt3c3l/NJO9xyM5 eXKoz07NPXTI5ggcQGBafvrHZoCyBVwjJA2aoRFqS42TjZvuQ5o6apBba8dXtwmmjoi8PXebzent fWn9c4ypHXrY0fQw8xqatBh6ji7Ha3kA4p79OemEPRvXaCKUu0BkbGvEVdNad5I2kz4qxANrzblY 0PrIPIik3Q8SWPE3VUv+Hb1SHABKy22nBzcI7XkOMIXN5cWlvHn7xgqSBhxmGJBLgiNfS5Pk/+nm amv59EEhP36ASibmlSw1hbM/C7Q6x5S2uXGjtqUgKTNu+r2ThoYF0VpQLfoM8xWA/8H+gTx89LAX 6JzM6KbPR6GmSd5SxAY4xhq4C/MlFT7o+tvDbXB9CBoUXnUHiDoqnB8X54sg5+X7a3n/7bU0FyNp F2MpxDNOJtPW/h8C6wahFCnh27GUAmZ+I8vmQlaylF/PCvnnbw+lkpF8uncu/5n8pRxBiEyeSp0d ybzZk7YeS96Uktf4/kRG2UQFWJ7Zfey/0pIoVrmsl7WsL9cyPzuTxculHD06uLExu7+xGbsMGUmj VGa8eXKZ1UPnftTFmQ4J1L01dotGpHwtr5h9W4s4baSdxHvZ/OMzN6/V+GGZ4IZABSJoHWEVfXZw xly7YjV2ev9idIaZeF0yxeggYr80TbbXOqCXMK4n34xdHDLWNZwfhWcYxsHsCTBBRaKVZgVe1xaD uOmcSsN2L92XZkMUEsn96STLNHjYTMHrlLSsQO2J3jVoa2enZ3J1daVeupjbiZ+Ndjh5U11hiT7e 1GFQrRxOYGYBz+nUZgKG+jkXHInMyvgl2uMhhS9NLdXI8J8D0xwfXTAI8vZipzAzGKPHa3Iy9ZnI osdLebdRYirneNrz/jruflrGe9P8Y656zcrgxTmUO5ebis0FjXGHJnv67Xup301kvz6Q8obJNsi2 sKVByBS+jNbNTFAw+s18JP/izbGcV3vyB/u1/N2XX8pnh59LLYcyzw5l1h7JvD2WpTySqnwgq/xI Vu2eZO1YimYkWYOMoBPJXQvL0a+6lGqWyWK5lno+l+uzlYwfZIpHcX7649JFDKS1FEykSGql1qwb WauL31z/Ogz3UL7uMgvTgQ/LIVVM77KsapUgn2f81m3TY5lXTvB0Z4tDI3iGtXgG2ZDRg2uDgonU G2reLEKTYBnnn7HhfWhCTFIQPYOR9B0PxOithOVFYrQ6t8DTc0w7kqfjXDGMZ9s43ttYjw+fXKgE NVPhiC6ZHFsScu7yjyYPgOw3b94o2NxLAROY2dzYw01MVZL3pfqZsjwoBcISiDF8JGZY4D68EcAa CJfpO0Eosl89YeVYGAcc34PGCMF1fHwsz54967QbT3uCcJGIkbFFHkwETXWyCy84G0xufi6SRVM6 nNy8qxT0EPLqNVxV8u3ppXzz6kqqi1oebSwd87BRWFHfuV/LpJJCFs1YBdbb1Z601VKe1F9Ijvix diQr2ZNVdiDL/ESW+bEsGgiwI1nJiWyyh1IVh7KWA8mzfdX48hpCEVgYkg/mUl3kspnVIpcryepT OXq0p15FPcUBC4S6kXE+47gNzfYY5hWzFAxB/F3NvLIQhPdj9cf1on+HyksWVsQ6BTc9f9mAuhE1 f+4HvT6pDQNeZdLifT9YSh2neGzJFKoCztMSJSzZKSG7xqRnQgZK1FbrS6thMWTPogx4AN8Y5+EL UWjo3y71qcbFQdaO7eAX3Zjo8Fy4Dkynb7/5VjErnjY37t/2JyVlKfXMliCkUfhE0hv5J5tmowNg KUQq5SUNuVJpwbrDgKdGoj54mS6e4LxXDIuhphc3Nf5G+methFw3cvLgpHcCUVvSSQh58SNumNTq oH3xGfk+TfDoCSKwT7OXkQn4ubhaym/OKvmr01LO50/lYbaGmNi+6Ghi30O1oBlt2menl6lp48n8 MDOTbC0T8BnkQqT5Vqq6UG/uMjuQBQRY8Vhm2bHM231ZyBNZyifS5Ca4ynyk2txIppLVhazf1fJ6 fi6LFwt5/MmJHD88skyxAyIm1xXd+hawO+DDhbV2X+A8tu7wNhLwXXQENs7nUNAZLlZJuyOudvjv JKB40PphHz8Tox3QP+Ua5pY5loJa8TBd651pGYUhr6dpiW6pasSm+wjb33O5qRaMQH/fUxGbHgaD b2s9gRW1pu7BPb0GsxD4pmRnk5kS3fmhJfzGwTelKrx7L69ev9Lfh0eHtrEaUyuTmemDPqzeowvN y0mxxFfEKtAs3XI/po2aFeMa4wRETYdAtE5UGFRNJ5OKKZh5wOR1FJAEDXk9js2rV6+UfY9FBZc5 QcWI/bEvicrAoFyEi4RCCVTvib/EVNRpHjGOTSbrykxSHYPMIu+/fLeWv3i/J6/aB9JMcxnNzmSz fiPrDILPZpDzhmo6mJhkDXFqcVD46d2dLV6ZGWPnyQ+1vyAtghaxawFmtZTZXA5kDlKWSPVrWbUj WbT78kY+lVflfyGL0Ym0OcyJJcooyqadq6aF6IZsM5W3X5/LqlqqsBxmhiCLOgb4qxNpY4eXn0CJ RzgyVF5/tm3GoebVP5g9mwc26RYtK2p5igPx8IpVxUNTxnsLrKu7Rx08kgloDxENXIPDe6KRLN0d kBTUpikpJ9GpDmaaASYxUzFqZtpXzHXVBf3vGqcIIZnW2BXDiIkHhprgLrwwzSwHAI32PEE02vDA ZUjuUg9eWajNnyqp3FLuntoZNCvQAZaLpQqrGC/H+6gHKjCbOZmM9xtS+BOgHTKDJj6HMoc9mZh+ yTGqoFkx55XlmGeNO7tmBDGZy5x90uIQYhSL3uIAhuShG8QGgNMB43r2/JkyrdM1QlXlOBeRl6aO y4BJ4D08E/PXx3AbPdGcxKpqNVIWA8eqG/n8u3P5izelvK0nSGEgRbMSuV7J4jdryReZZJNGNRfd SCW8hBiYVs0x/BOCqi0bJGoSqTInA7sgy1tZH1fSjiGigiBrM6lQy/ED2iTbyCS7kLp+I/NmJMXm KaAQ1KWWuthIU6wRoyF1tpJ1ttJYxtevL2TdIudSKw8fPehprBqjmRWq7WL9bRC6tVxJgVTMMDvA xdOspY3MQNwdj2QF/hpMngAzDOEHrpFhaJStA9OaeJapME/REWaqqyMF2NIWgiSakkcHOeMbP5zx TCR1m3UAYd1FYMDEx8FFygs9ykwxzqrZaCBU03LAtZgnbFWbpzke+Nxv92W6R9wUfcbzUguNxVlI dI5Op23XLvkG0r0oiTDUy+MkYaOBYxRDbaJ5lEDPgauZwCa9h3D9v371ShcNwysi9sVB0dcIwA3y XyXB5FkRbHN7AGUojpnwH8dt4qlEXIyVb3hKdBwdU1kpqDT0w4tkKGjZOuDPezEEyFMFJ1Mx4FG4 L55fTcw8lwcPHiTNSoXTjpM4jfdgXpgGOeIzzA1G7UvDiEqUlV/Ir795L3/6qpC3zWNZlcfS5CPJ m7VUr5ey+aeVrL48kObxQrKrsaVxmdTKs5JRI7LJJVtaHGi7t5H2cCPZxVgFWoZ6hOj8qJXsbxUy /ntW3iudsMC0GjgqjMllFNr7tSJrpNCK1JkU0AJkas+Kk31TyKqeyyZbSFvWkk9KmV0t5PPffKGe 5sdPHmuBE6xdOHOWi5W8/e5UFpuZlPOZPD89k6PZTHJ4UAE+4xF8vi+LQv7q2TMpHjxQ4JsB+yn1 tGOWdICAuwSsEr/JuDeBhfVmBVxJKiYlg/mmhs6V2KARD9nulQsgrQZUdLncEKbG9aqCJGRrHeJS aLZHCLVAZoM2Y+Y/Kx3RgaS5191b3tsXtwRHc61Gc5TYlPbRC9cyzKeL87XScLu0LBVYJjz65Xv4 UJygmEU05a9Sc8sIeNtKe6uU9pSrylZ/81qWIfumHsyDUui6GaHWAwT2sVCzD4NV2gPGck52n4BD 4MTLTP3XeDM3L/FvcD1Uja5M2A2dCTcYt06fUHzITyw1rRrzqphgdaqBUx80/SzjIj2xID2KGKOr yys7GDaVLnJ6Xyh4YvYKstBpJuuJCVOGwawuvBjAHWkRDIGASv/m3ZX8X6/25Cx7IrWGSYT0M00h +XosxXwi2V4r+TmoGFg0tchxrRpVhrqN17YJ4fZpnqwlP93rL07omj9bSFatgpc4k1VbylebZ3K2 eSjHxUwm+UrARrP9e7vwovJGakVHAjXv5LQ8kLFMpYQJOZ/Jpl3I6v1Kvr0+k8XFSu3Y09O3stws NHC7Xrdy8GAi0+VKfnR9LU9RPm7LfV+2rcwuzuXi0SOtQ1l4VAUDo9HAkKf5BS8a41Axx5jXhw8f yv7BgaW7gWAaaEqgWHzfVvgGp6kW9942AaUCDZ5rZDHxLmj4kbSKXzH7Jz2H8ZBVDZ0UIJTWw8Hd dh712zQs7u2xa1IJl3VlofMUZpKvuvTrsVTejao5JIMO7d7ojeBGss9YCg96lfA60+zS80KzCxsM mtnseqbeQGRcAIaDTadmUw7tCxvVcKdkqqX86V6t1qvg0PSJWBs9DCQJMjSI+cTptVThAXMP94CW hkEKJc35up5oUUPY4t3U1Map0ouz/Uk8DaA8hKQmzEN2CK+zh+9ggYOzpYKxsDxijx89ShNIYUhV mZQLCr9JaSXGEg7nRFqOTxKcMO1rkX/xxVzeZz+RGl42bY2Mq5lMl2eyt5xJXvu8DZubgTdo11vl DA4QK7CaSnaJyGl9IP/96T+QR//PL+T315dy/PILefDic3nw8Ds53H8vk3KhONY24QUhqFow0vjc OMitX8RMRzmyzUPrE2lmtcz+2j41bp9K1i5lky9llV2b11jnd/sj23da+cX1TP7lu3fSwLJgLqeB V5ehJ9Fswmvn78/l9PRU5wSC6+nTpyrEPhTMt71wd71AflbDX5yywjVE5jj7SI2ekAHWzNHRYa8e JzliGn2BakWlRUrE4HJAQazlGFvPm08+lkMtJDNjnGBlaXGWGkkTRsmTr9e+zUuICwOb2qYyUnBZ FWLDq2CDwvRicdOUTD665MP4Aqv6+puvteNQLcmf0o0tHRBHHEm1Nw3EdDAdsYwTj3XyCP0EOHqA NQFyNcOg3ShQmcumts3LhHd05fJZqMEY56VLGkZ+VgTo9fk8VQZxC5481Op4D44dBYqafiCMerZP xfLmMynOC/nJT36iWSTsuSCkDRfgBugYw4bqcsHFIh9oUeMbT80zenl1JZ9/+bXI7FI+ac6Btql2 hc8djyo5KAFil5K1L42lBHzKRsDV1RvrpXt728uauRK4nscWishh08hnl7VMv/ypLN7syebP/lje jZZSHF3K+PEbmb78Wg4++VJOnnwtx4enMp1eyyRfmxbmIRQQXANXjneDyWF8s3j4EMzH3D2Towye yX1ps0ZWzVzW9ZlUSnjdHf2CKz4UkZ+9fSufAyd89AjqRlp7yTPsqYSj9tWFL9laRPwmwsuAW754 8UKOjo6SJpw8lSGVUn9AWVy3I6TWrjhEMLu3ToJAIiTDzR/3eDS5LJ1Nn2/JvajUBfEyaIqTuba5 IySI3uxoNvL1eBBHEN4cEN2zUPvbahKqeTXMh+WgLTNlciNqupLKOBmMj4saj2lfXRwbXn/75o3V MvTMBWTHkvgWVdB0nZAuGMIAwiUKG50caFbw0HnfiSPxoUkItZzm/UocPVA+EFKVIe6aU/KCEhB1 a0SFsyma6RkZcpMoEywzRY9rGPyE2TWtmofQPD/99KdbHQL2+f4ByzGjYwSnP7CTqHVqH1uRq6tr ef32neyPctlrF1KwmEgGIB3awVqQVKGdVtI83Chw3jxai0wqEeSAUmwKu7uHsCnoriZjfPWglmaE hecl0rwVdSYv347k8K+fSAYOFbCx6yOpvnoq64OfymLyN+VifyavTy6lePlGpsensv/kWzl6/rW0 h2tZHhTS5A7kDxdpz0jsWr+YKnWwXIp2rM+Cq21woEHw9L7nV/bXHyNg/PStnGHTHx4mQmePNAzR 6hr20MOla6F2DBS542dznasnT58kwJnrPvZ0+JQ4qFmIog3Vq6mJxNAatOglhTaJe8Lso1JAjUs/ Cy1KC7GYoyg6gBAhAquJZlz0wMageVoycX1SaMccWTpOmafNgYxwTIzvxf2y6zTZmg+LHjsOQvQW ruu1buLIe4o5tGOOaWSgRJ4pHSx/sG2gXdJCHBej0NJJDNH2yXPm5s427KdbMIygt4o3aQCRxilk RLRMCx25VK/hvCryw9Tc1OyxBpYyd1JcmNG7QTpGNKmT+UbNwNVlZIB4f/ReXr58aVrbID0ys2jC BMf3GJyLEztqwfgBRqG8LM/V9JuvX8uvF49lM3kItVHyNpMCgePNRjKEFK0rmaxzebwYSfYesLPh VO3LSrL5SKkD7f4mCCyybRuRo0E0fekAPUxfDZimuppLuS6lvBybcBnXqm0i7EZmY6lnB1K/eyjr rytpzn8k800tl5O5nB1dSPPJqez9re9k8sn/Lu3osVTZU2mzI5EMpk/uGV+tEEIf49qNjalTqYU3 MJdz5yNhxHGVPTC5MZcQEtBO6lp+fHUty3fv5Go8EtnbTxszhfuEkmpDkzE5Q3KLOsDcYC/AOkHc 6ePHjxPVQNf6NpXWPdMR680C765HePUWtSzkntPt5LUWaT3wGnFdmpfQoAekmy4KCLVM+8y00XE/ DqEk3jvSdOhAA0yAPWapZryuaSC2xu9z7IaYuo7ltknlBttWcCKWOGfnooeQKiNu9vr1a63Lp9eg dhJq7OmE+hqjIOAkG9Zg3KfUB1e/YzoYDnx8uKRqe8XodE2N9ndmfmvPB2IpSXdKa0B5IqjAZeey TSmToZpD4HrMni0Si+1LWqM+TBfwzGflvSM+SGzq7dtTefbsuXmQ3ESNExgnUTddGH/Ny+T/Bo8G mwHepXfnF3J9PZON7Mtp9lxa15SLZi3j9lqKdiNNlstR28rjNZ4/YBFVLtkVlkZugkjdgEGX0fcH DOyDVnNg6ZqABueYnb7XEbjs17yD0vk6BE+2mEr7biobeSwb+bFU78/k0R/8K3nx4pdayGTdPpDL 9Y/k7fu/IdcXn0n7bC3tyVj2cfIjBfaWlLr9e/j4w2uNCk+YU6xp9BludiNSJZUWZbYe1bV88v69 fDUZyxzz75pR8mxrtls/1LYIK3q2kxaiCSxXaiqa4ylT4bUtbo7WiN3P11KIsIi42Y2nHXAMeRBG kNz2pSeQZHJHp8GYJWMxgDoWgySeXL9DQRnf7/WHnKugPW0zg8kU2GYOaj92Te/wIpHOzwcYAr/6 kCMDfuEVvLy86pmA1AhI5qRQpHcw4U36hE5G9PfSQIcDlNI+4kaxT5TSkTvDAeF+YSxW8ro5KTUt sh1ZJ0yDgpbU9mMDI8eLLF+zf52P031fhSmqDi8Xyk1DCE98LoCVdq1+TicKdgZO60JkHjJwyOcb +fJ0JXnbyrPiUi7qhVT5gZo61m8IT5yCEGJqdNw6/zdO/gr3GmywmVV8RqqZZ+ON/NHJuUxnjTTz UorRRnEtvbenJhqsMNNKe6YnPEcjmdQreZC9kv38Smqkn1l/J6efP5brP/sjef+LpfzZzxEzWsvj USNPx7U8GLVyVBayD1mLzd4TYu79Qh3LVmQKb6qPGcYKQkvHEt4pvOepdF4sl7I4eyevL8mL9gAA IABJREFUxhOpAF47fjrUNG6skUB5IR7KtQgz7N3ZO6MpVBuluUTvGOsBGq5p16j8MKOiQGFBxxQX AAUBIyP43agFdkRa44hFa4dWVbrHQIBETBfUil3ChY39ZCVvKidRE7vRBoVg7hRYERgjaTOZUIMC DXohzyyKBszqq6++2nrNeDpg4WKS1Gvo4HZPCwvChWagca865jK9gX3cp49npXCXSAoNQogEvCQY WYTTF4yaH+B9tUa+Y3UbyKOesArALzlgjMGK9+4Epgk9tG+++Ua9PEyWqPwxF+x8lnSqMlrfw3YI Aus8bWo5nbXy3eZIjkTk2WQlT7/6WjavniDdlJZ0KqBF5lg8uex/mUu+GdasC/pPAbKoa68HwLSQ R4iAuD1DWmEF1P5MfnqEhInn8gru/vlEfgRs628jeBlaVCFZuSfZKUzEojPpDuFVGWhITS7X50/k 7PQTqU5ey/7eTKbtSiZXjci/Ppb3RSX/86OR1GUhj0aVPBvX8mJcy7NJK09HG3k0EjkZiRwVmezp xuOh1Kr5dwhiZrhd1APBzeLfIHC8mM9lcXUl746PlejJwztCE2nf8KBxpbTH2QvViwgJYK6x/uBR tJp9pjWrd9ItCrSNe4Cjacb9FLWsmFUlQgakQTBtU3w/Ejyjt1kZ6agYDnJpTInuGCo1pl1B8rgG iqkyO4QKKk8omSCeeIAxvfOWYsK6V3fdhKcGJTM6B84GNhRU2h7J0hP2I2cTVE+ou8i+QLMqBTC7 equmFeOTXHuImhrXPwUVB4imJVM068JwXColFAyAKCdTvY4bF0BuakYGfTJZHbMi2dT605nCiqM5 NYDUhQT+hioftgjsncq9g0hzQy+f6lf67CyJhsW4lOO3Z/Kjl88TVUOv5UA+708eFr2g6pr2KtTA EK+WtbyZ5zIrTtREe9m+lU9evZb2f5yYaYaMocgeChUDxMzLkRSrWxRtyO9RLRlgsBz5lRF20kp7 YFQQo+FnJtRAh89Ejqa5/GLSyh9mCH/ZyObTWqrPllKfZ9K+mop8OxV5uyft+UTay1JkrTa0lKup Lda5BwStx3L6l/+hzN8/kEef/oX86LM/F/WBqFZoHLJVM5azzVRebzL5/+Zqe8iDfC0PRxt5Pt7I J5NKXo5Fnk9qOS428miC8JtWNAnqxkmKMR4eY5P2AbUjTTog2elaNtOZZM+ol3WaC82dtJa56QgJ MFWR/83Nj7mDho3wLewxJILUyuI4mKDBt30cJw/pXIyWkCs9IOKjzDen8bbuSTcuIQSFeekBhRSN 3Z9FPLB/mbpIIQZPrIdG4RRTMafg+BD7OxRcZnVYYROa0ZH0HM3M9Hnu//oDTUKeCkxlqieJ40gk J9I0ZNgMgia//uprHRB7oWOA08yLfA6eHnGSCZorE9fTKEeMwGL4PKE9PFuKO3SSGSo2PR5cTJzs YRgFBRNONq0/V+P7EG7AYkIqHKiy+p1MFptGNo0XDgVvp8xkFAqp8mRY1rlcVAdS6Y6opc3HRi1Q UB9gL8N74GUsZf3ttTx7/lyQMWjobeJvZjBV/pZno8BYq5oNz+M6k3frkTR5KetmIlfrVqbPG2lA /gTwXVnGA9WSMGYQFrPoaxvgS1jAq1zkPdzbrbQQXADiAbyPG2O7Q+CVKKDbBRqniASMzySX0bNc 8seF1L+3kXV9LbLKpb0opX49kub1WMrLAzmuR1IsR7J538rqOwDkpbSvfi6zX/+RVK9fysHJmTx9 +Y2mjrGzYhsVoJDzek9/fqu1S7BhKnleLuTZqJV/sify2SSTt+9PZP32SLU4nCV1iwKieN7CfkNw aZhSJpva3rsqMllcFzLeW0uxF+rtRc9YCBGLB/XQK86DFOsUv7G/AKNgY7948fwGYXJbyzT0yLJE xDUSY/R4L+b/Slivk6zRn6NDZOZt5Ho204SMPMTpheQ+h5ZVZbbveuvStSxaD1FopfFh4Q3Egmoh 1i4xaMcy6LPjt7Vbi1CQuEkP3WKzkGxjKiO4WfC4MPiW5dDXi4VqWDgpKFHZIZqSMTUMHoBpf3lC 6f1dG9PPeVK6FBax7jyCzOSZTjgQ0TxExVRgc7OTKMpaiR1YyXi4XM5mlWxaCETUEmxkr6hkv0Rm CNMA8N+qquWb2Vgu5Fhj5PaaK/nJwVrGpTkCOnOgkOumkF+Vf1PqciRlu5Kq2JMGZNlmA98lzhrJ W+Og1NlYLtZv5RfvF/LTZ4cypdkRNwNzOXkwdEpu6A6M2WIl7+a1rKtCpnKuwPqyFTl+ITL77L3k 3x6acAEGBW0Jjw1BdlCILLt6knJQacZPxAvWjxYiRxvJfmwOBmhSKo/bRoo1wnigBmSSjUSKcS7l 2L1nSJy4EtmcN7J5VUj1xUiatyP17OVPSxn9uJHps0zGP0EMIwpDNPL82b7sZYVU5yIXf5LJ4stM 1m9zWX+VS/FwJMVkT/JyLOPS5kxDHe8M9cHaGcnrzUheV1P5r6rXss725a//9Pek/eUDGw9TNs25 gKBqdwqYuarBI6YdYc7+3hupf/JKyp86B8srXpOEGS0CHsxRA6MDJxWlcKzUCu02SnOBEAKeuQ2I HzbsbWpCWH/gVCJtk2rjNasjyQ0cFHQFNS0hLDeVkkBhWeheym4K4qS9IUDaM6ZEoZj4ZxErDo2k bT43c5HBWmMKdCodyaFxn6o5kZ/EgY1VOUByNPu10sHhhEBYwUMFBje8HuxkAtRDMjjarD1bVWMD 607yg69RuVBxL2Kz7jgwMWmg2sKeSpikTnUjb1CWpfNwMCYMTT2Dungs2Bfa1a+Wz+SyfK5CJZe1 PF1+Ls/a1zqZWmxTajmeNvJGPpGLvd/Xax+tX8k6+07admaOB/ckKjERwjKHtjOxcVDQ2TCUTD2V qBiNPkLwLmXTFPLrb97Ii4d7Mh25N5QClyEeXm0YP8ps5imG8V4v5XD1Sn4xtvLkODUPJiirPpH2 H7+TbHmpplC9cZoGegIIcJOZiYT5r0v8n1QLZPrMpH2ylOlPWpkc24KGaV0tRBaf11J88VCaTaNB 0JNPRPb+sJXRg1zWVxu5+utKml8dSvvLIyl/+0jK90hkSMdAJdXTpVwerLRuYfHZQh7+xyMpn05k sz+XvadTyX68lOeTqdRIzPBapJ09l4PRfyLt4kdSfvFCRkea3s+g/21krFsaUtQU1/sirxB8f//8 7ShmtvluIqsvcpl+2vSEVc9rl5LxDTKfMIe+b1AIFB66dECB+/TFF1/o38+fP98JSrfu1QP0AuoQ 9p2mM1qvTMkInEUKnWiCRQxaqRW+Nw4ODpSVr8VLwqGIfjA0j9hypPJw3w6fOwL3uBaz8LIpnwxF kGMefaZH2kVriIDhcIBonsFWZnZCuM1J9Y8Tht+wxdX+JlnatRlMErMs9AYwpIGhh46VNdQMI40A QrGxAE1qMcSNUjqYKIyc9Z6CKh0sJ/udGhtLw7dwqxcjaUaHUhcQMJWc5z+Vef3QTlhoXNWZ/GL0 zi2RVrUjVIRR703uoCWLHSAtR72Ro/lvVduaCLx2pllNslomeaOu+DLDb3i0ELZgnqu2fi6ToxOZ BudAcvfSXCQb38cfEffns428XWSyaSfK38Gnr+tMnjRrmT4ay+or+NRh6no21VJkdSJyOTGvFPr+ MK9kbwYxUMveM7jxD6WeiVTnODhwAjcyBW7y+5nknxkgC6GajUXGDydSLWuZ/fOxNP/0xzI+O7F+ g2v7bKnaGIKodcNsSik+n0j2eSHypyKLP8nkq/8pl8O/kcn8pyLX5bU8/2ORyctMJp/hwHopWfZf alaF4xeV/PRna3lxdCz/7SiXf/ZFJr/8rpH55m6RU6OCInA420M7yfw7G+gebyfS1vO0drYKq0ij 8AMWh5lWvfayY4maA+xBTcaOg/fF51+oFsRwG7bGo0xgxcDLCA0l1lvQTQ04ZOTQDfh3flAkU5RZ JqDhFxYjTLMRKZ9wXQgR3BtCU2NeB4VL4B3EtekAiNoQ1yY0N5ZMw3Ov1yvL6R7ItypcD/rUDI7Z zjJftFdjgQIC7hZlfeDpSww/SdPvE6WePg/otUkK2RVCFs4YyEvqADoGTSil8aDqGrQKemL0Qeq+ cOpwAeJbXd4rPSGUAOcnDRYE9nFumhA9bbzeONtIXi8UKC7gEWzW5lFrVlI0S5m2M9WOnlRfy6Pl heRNJWNZyRFSsKSofE9dC/f+8VgetK8tDQ+wBi9PpU+JtLzQ41A1GcUQJJN5lctqI3L4zan8DK55 xGaqam8nYa8CkS9iuq6vFyv5ZvNQfjt6IW1WSousDdlYymYpB/lfSvZqI5v/7hORr/YNe2pEZnu1 /PkfLuSf/TyTVQOiYSb/6P2F/Kf/50MZHc2l/CdXspGVrP+XY5FfnSj4jmwNGcxHAO2PltJeF6rd Nodraf7+TPLfX4uc70vx5lCyiwlHxPhqL5ZgUVpAddK0PfbzlcjFq1au/ryVHDkIxycy/zSTvc9a Ofh3Mtn/LJPpzyopHs0lR/3CvzuR8V4h/03byh89OpX/dXohvzot5dvlgbxbT+V9jYswYDttBfMw T3JpDldSP51JswaR0dLoIAuOpoGBfagddFMI7yHbK34ezaQYW4ZcCAIKJSUnxwiHmEyP6cMB9pMV 7/nOKbw6iMIEDv79m9/8Rn72s5+lPOxnp6AKXWrec+ZK0wwQXgE81VZ0J0yyThwvYzoY5pCLtRJj P+kph2mJH1zv2dNnWtYOjaZqgniGOcJgL6yWFtozHqmX0DQmr/Opios7oeZ9xxuvE9Os3xBYumAU /OpSYoxhBnlOcALOWn1j3Gfc0hTU0lzv3nVqoWtFPTs84rpBo0vYUrjfUHBSsEYpHH9bpQ+zDVRY hZzZQ5oDgXxsWn4WBTM/Hb+Xx/XMJhfaDzSiFqk28MFaTcLJZCSfHIJXBJzAAn0B2F6uYcI1sq4Q ywgb3FKq1CAfTpZStKV8t9yTd81jFyiFbPI9zcbZKr4msslGUhcie9dn8nxRy3TknkEWO03BoEaH gKOAz3RxvZb3q4ms8kMjAqrAwqkL07yVZt1K+24k2TcTY6lf5dI82cjV1UZeLUpZNmO52hRyMV9I c11KC5O0aqReZtJ+uyfFX51Iu1+LAHA/NQZ0+6O5ZN8gcDqT7OFK6p9vpH05tyKqwMB6RAHLoSXn MNcLkZNBaI//NBfpOJTqspH5V7W8/78rKR5U8viP/1/58d/5P+QEfI2Tn0kx/gMpmol80r6R//wT kf/o6Uiuq2t5t8zl1XUu312P5GwFR0cmR6NKHk8r+fnTTA6muSz/9oXUP7qUeiFq/lZXrcislGyG XCuZFKuJYlrqUXWN2hxImbQrhOO0Uo47zcq8YVYoNmoc0ZQnV043JybcIYSouSSLA6msZ3MlX+M1 7K/FYpFyuvPzGljveawUbUslzjwLLrFjsMwhCEMdhGguxv4q3uSWCvcYytqdnp2qyXhyfGJpdDxE b9jI4aL2z2B4Rs90CQkzqUZmEg7xuijAtwosEx4WZNkoY7nLJUVyZXRjxgelFnR1fdWT0kzJwjAU fvffsPemzZIc2ZXYiT0ycnn7Uq+qUCig0eiNvbOb5IhDmWlsRiPpo+aTfoP+1/yDMRuZjEaNRhqK IjUkp9ELGkAtqO3tucYeITvX3SM98+WrKqDR3UOzdlii3hIvMxb363c59xzo+WtoWzqDYlUSVkr6 VrtKx7JoFId1ks5gt2Q38dQuo85Bkfx3MARTrZFro18D+LoXr+ekqBsmFVkhotdB6iWKOqoG0rhd YNhz8CrvIfNGqMkd5MSoW+bQVAK0JoaFAgoMn1q2teRw8ufwvBaX7TZOXeYlNDOqEysEujwIGkFf MEUXxQJp5SxxbzrJLjuVBZIlVY/xPieXF2g/abF9TiFMH8WWh3Q0hN8u4A7phZEqphZj5dDD2tLC p16FEYGSaEnUgrBu4VK1JKnEo2quiExXRsYhKWjIe6+T0JUnQhFivArdcqOBjisYUGOSCKkwafK3 oFdpZiziNWgXDdrLGsnOJZz3/wv66RUw/gfgdAeem+DuuMDi8Y/hXz/EVr/B8V6Jr41apHsOSskX kYrGQS8A9vou2kWJ6lmM9ud9eJMQbuYiyMkP7CruL85/7hwdvmF5MXVKzjB58ktMktE0MG1nVq52 3Vh1uUwpQZs7s9nYcXGTQ8002XPYPapmDdmfb3t1dqGpo0HSxQCDaZQ1JSDiJYecWW9mrUp1Ole5 K6HSmc6E8putRZ3Iih62qK2R7zP5OfN71WuqhDfsyqn9HpvSUzcYR6XnR4MR6S0Y6yyuqw76jaEy 1UFzgw2ToUkqGiu+wqFuNP4svmnDitihaXVot16h6M7RUtnobqpdMTRJRb1zGTRvkaWYnT5HOR3r 965R5xlcP8DOww/h7h/hVTnEpbOL0o3hEIbg1NK2wat3nAI79UscNwXOmh2k/r5AFEo3QUNlFzmK zZ0+Ki+G3+QI6a05MbLiHHBKtG6A2qVQJcMoVk0ExKQS8BJ2LsQwpE2K6cxFNnAQ06jpKq1oERqx Di0wUWrOsfTlc0R/4+P4ox24hYNqWKMYzeAkKcL/voFDA8iyGr22QIXQ1B58/8JF8MsaLLySgPS9 eQSP9/Jhijaq4DBZTq9iK1cg0rhSFUZGG70K7Xah2Ef7BZykhRewYLIq2/4bDbO/0ckl/qAiU+g1 y4/A/InwYh1UHp48+hDzv9tFW43g75TwD3Ikxxm8g1Je0Z4roq/spyzKFu3jBO7PduFJ2Gp7g28Y vPacEA/LW7IYSO3qlpG3so1VV0nT94h5MDEqG3psabBIzMcCSodXwhKvaCPsbUCnWSuGvohXZthP zO/ks0yXhFXNlPfSa8d4bjaukWuVTCOy3tNMeMDIQGE0MNc9S2NgN3lNNquD3W5mSAs2GqyVi7Vp H6RZkQ23mphe54BsEVQ7jyJgUiK7I6VcsgR56gswxmqtNcVunTAXaT9cs1vZPVDm2JWufJ0XM8wM 5rNYzRTG0yzF5MknmD9/pPm2XTT5Al5/iN7xffh5iRfNCa6DEzReBL/hdZYSWjEh7zcpqmaMRuAJ CWqPOwtDL0W/wYqfI3AFilMylGQi3kHtDcQAel6NaPICSXYllUK3JrWvQOWlUujmM6DOxE2jrkza fw/Z6N3u2RjV6Nrk64QqRk3qxWyG8uoC3pMh+r+MBdMkrAlJhWbPRfgXqmQOek5Ek/PySxdh6eLu ix6OTxu0/PkigM/c1OEcwdczlNMa7ScJnFmkjBw9EOavSJUc0xMmgFSTJCYlHP7M9CJvGl/QiFmw XPHOhFqCr+79+MElAhYscgf+iwHqV/vq2ndyNPsL1DsFnJ0S5agFDnKE318gGHlwqwAo2YD7dpL0 9kXI3KSKEYvaeiNWp2NtxJyfuu3FgJZVXpbJdylLo5EqNnNnTFHQS21IM6quiznlfl8R/VkRjWNF KLb2QFe1W/P2unUtrTCWhuWGzhBTye8Mqn5mxpGwoUVCCJjnYrwYJnKeUo+ToaIw3ZoeY9ZhrVyZ PRdoZ3is7YTIuVtreH34xktaKVHe0ppjOsANCZeJUwV/xd8zpmWJkhppjS5/WmBPG1RmvKUu1tb/ mXPoLLvBMVoJ8i6JaaASuslZwkDmbthxLshdHfZJxbBGk6do0rkkvOUlDIYJesNtjNMGmdOTXJXb LOA1qRggOv8CRahYKptKHsefPUfYXsjPCRiX/Fadw60z8ZZoEOlNzfe/gzIeoRQplzmS848wevEC TsmKIQ0cZ3wNpy6BdEpcgqIRDiPkh0D1DnmqmLBZ5ZiXSahZLYTviHibLEXdRmjiEi3fz6UKsjIo LllVGPK4OqHMNUCPa85dOIBHI1AQfySQVRQ/fQb/ToXFP4ZwPkngT7Qg7IztNIKdRrtfwUkJgTCz nlTJS4Cwcljk5qj5lBBkymfdAIlq43mrKp1OfjOXRGS7GK4Nh5gEufreg3dFXUMCXmkQmN5oUQ8y tFsZgm9Dhbx8LV7TMN1vMN7KMaNtYxhFaFqSoRk08C8ZIuvks+PgfX+M3TYHM2Y15zYb6DV3qxgd mbsNFuEMg2AMt83RVgrSIvnLsYPmsxzJyyvpaax6PYzv38f87l2UJP8TsLDXeUa2ceHoUi56E7cr 5mr+6EZlvY7kZ1a/rOnbNWvUDstsqiZDT27WoBGVMZVKUtmwL5J6DYLA91YT6vZDs4HcEg2Jevaq otRGD2ud3EsMhkUUZjAbpDRh4s+2wCbsosEybqEdh3dlVGl5WFpv035idojuQVgemJn4xpsyMu9d KGrdeGlo1dzo6WSMfEbMEa+LvOAusvkUFXFjvuYNomeZDJHceYDeYIinj14iaD+Gx4VR5fDp7chL eU5enSLuO2iHd5A8/TtE04mEgTRWjj7G0QbHJX6I8Aga0t6hqMG0cYtg8gLxy58xPmXGXOm1mbCZ P1P0EnySWFxfoS7yLmdn42c4ylJVds2KDwcDJF+P0NtJ4VU1HFrSqEG1P0W478CNHOCHMzR3SsFe gZTHORP+DZDRu/LEi2qjAs4PxnCGNbyrIbDYjLhmo3JLoQpGtqUHJ2A+SyPcTe6Dxok8WzzWRF1M touYRQunT5T97fZC00vIsTR8Nemp6xBV68OzWEr5r0K/b3DhtMKP1/jwpgGQEeFaotldoB0x3L3d YDVhiV995xI/3/UxdkPUXLx+jTrpoX0aymYmC69t8b8OnuJ77iV2UGMh3nCLhIUsLbiggv8aj/tP cJz8CpHDXKPh+Woxf+6j/I9znPynX8ix1XCIy/v38eq738XnP/g+qpMTOIOBFGi66MJbGq8OEqRz Vh10wsp5Yo1eRhwGjZLv1qau3NtK2uu2wS4ymL+RSmVTC1khdUaJxWRynjkuEnd27Tx6bWsqAK00 fbOBvKtyrhss09RsD3PCJqtPQ0RDZb+R/YbCn14owny7ymBbemWoVOuOjUznEC4q60aaYeNbxHB2 PUiqb86GTYgitOuJIsrl559h9slHYmxaI7/NcxLDogCVNAz+9h6277+HMp0j/eVfYzSbCBwB+UJ2 Pfr8raab4Ygefgvu/SMEpx/DuzqFI6h5ehkKCS8PgzkL6c+aYPvR/y5tH/FoBHfr2/D7A/iDEdos kB2TxhNMugv2inm8Fi6Nfq8Pv5cobnuLzcLQ6hj3XJKZno/h1jbuf/fbqL8BxBENXoXWY48hPdgE ReGjOqhQ/C8ZmkWGYl6hmrVoFw6ahYP6ykVz6aO9iIC4wOBbgJe4YrSa/Qxtj9UH1QbFxDrbegTi 4FFlRyePiSULyczAooPO9SSN+psrxYXVMTyQisZdspJaM2/VWMkkUO9FY5qWI5w++5CVDfTiCcIg hR/QqHOucu6svSEjJc651FfiGlwglULko18rmpyrW+ih9Rt8Fkf4T6MBLr1VwCMm9qnWaHwXB36J HVS4lu6MFkNCe2xudafBWVti6MwRuJojTo+CRlxgMurKw+kUyUcf4fCjj3CeTvHye38E985dRKNt hL0EPpHimhLJTrCbDcPgnIyDIBGLJry0G+qXVDLcvFbFVs1aNOGdYQg19ErGsTFOjRjLUHlINFxM 0DM5v7O9o/BklrE1T5u8bXaOS3xTqwCw0cO68Zg0mMx4X91F64vr8FSWUTF4EIWC14nhtbjeTpAb gyhek260VHQty75AszPYTAe2kTTVDyPOKIaTVBtZhur8xcYp2NVvoh7CvWMMdvZw9vhTuKeP4FYF nIi7LkMq1YoidCjcHfg9DRE/i4YmCJUuHnsmze9poIMI4WhH4brKQrBXceQg6cUIHn4dQTIUTy9g WZguM3dCk5/wfGlpSkYjbG3vYO/oRAwSWSKk7SJTIEGDe+NQbniC3YNDuTd2D5rZaAg3kX6wLR/N sEHcKA/VeG9GpKAsZ4pBI+qpTeLPMqTvfI7m2kV7HaA9i6Qf0SVUoNK6dGkA96oH7GVwBqUk3d1+ I2yh7URhtAyMskO6zxXuSfFiLZ8MQzQhAaQhEfCqlFLh8HMHDdLsG3j86bt4dvQK0dEzDA6fYHvv KYbbp8iKgdDnmCfc/Z9fTA3CvkHjVstN8y0S7ZuctpuTygGzl2/zfs1tkmfLPvuVwafpXV5g/ov/ jPz5p4jvPED/5AGSnV15Tqahnhusp70jGj4D0hJBVGkUNxTa4sAr/4Zc0QLOXnKzGdl6jo4VQq9f 00xtigUdaFYXDfg7w4zCwhvX7fnZuWg6sNVoOBqq3+vISlSewyXvHOeg7c1tGrf2JZhSJP8VXT/X 65gHbUL79Q7yjsCeC00WldFJ04l92wU1ktwaDKpKnZr6wiQWLVS6ob0wlUS7Z9CUasVwGjEME1be uOoA8f4x9t/7UDBnFR9IEKtHTGPEcI3/SgKQaO8YjhiiXfhBiOSdD4CTB/CCCFHShxdGcD1f/o37 fUTaOzI7lblnvJatfcV51eUOhSJnWf4lspgPVdE2+0LWL4T9cSzvYShrDU0HAXqM/c2GYjTnzL1S hkjdMxtTZwNyjfEzf2c2huQkQP+urvZIJWeBqpoo0GjmCHapmDRA6iI+apHcieBHIeofUZTkOeq/ HwHCNJrAu2Q1Tidf+fT5XFi3IMOCDIawqt+MeZ1mv1IN2vTiCuauHLhpCOe0h3o8wuJvPwQ1b16M MnjbV0Lx7NBYH6aqOEAPgDCLCxZFLMpgwSPpftaYHgOhLQr6smm8nTQZN16LyG55RTePfAtBifW/ CxgZsI1neok0XyB79RRXo10M7r6L7aNjhD7XAGERvGaVzGe6wu0gPPx7JQahmvBVFwgB0ohGcMN3 4QSDZZinu1Nsx0RSKzppr/5WhXaGkUXYcMOoW99dWBoQfpPhyZMn2NvfxcnJSUdFxY4Zt15GULYc n/rcL8iHZXd3J/2kI6EzltAmBeOJ0qLaDbkGyWuzJpgTEtEGbqC6iree8zLQB1PLgseIAAAgAElE QVQ1MKBSIcIn5azudO/OVfNi0aDE9HC2Dzg7xWvhwqfnQ8PjRTHi4RZGR3exfXgs13N4/6HCg7Gv Kul1YR49K0lKC6cVv2eIHOLdP/phx8kluokW0Z9JjBpX2eweplteErBSMVJ0HmWeCY1t0OthMFrK 2Zu8oKJDVlUYY4B5P4yuI3/OfjJ6UaYzgcPcOxNqG+oQg3omZx+NpZokS7oTUwTpJNcscKFJ8svP eg2aUYutBwpNLjTOgfrsrXc9JMcV6n89RZM6yF+dI3/VonoaCJygfdEDMg/eOF41Fgwv6ZUJzkst 3ZYc8xLXbVz+8Cc9YBLDWWRwzkmAxc1HFRaIM2vfISxANTW3bg2/p9g8cD6Cw2z6NrnoNdNIZkJH NaTC1dB7fwvP6S2LoIayZn1Uvo/ZcIDzA9JA62NpcBwX84RN85wXeu6kc1TTaywuPsfWroc/8j5G IPlTJZ3HijVBzp2hFeOiq5eCXdQRT1vj8fYPMI7/DTL3/c67slvfDFZLOQSqra3zuAwxH8VXA8Vr Z8M2OkCr/v7q8hqT8RT337mvego175yRujNOkqFzNpqkbzRYJrQyHhZ3Xsaj/HAm0IxLZzilOQFs ECdPvNZkNh0zgsVTZedjTMhnOKrl/uryrGl6tmmSpR9LK+sY4QhjGLq+wXceoj/a1rQYqiNdwgDh 4eLuqt13TTFMt3T/3gNF9C/AWWVwVQJz2VZkdgFOCvbuMZnfUoklo+4dLQA9KvZP5SgWCzRcGHxo eSq5NLrqDat5VCkSo8ykZyVVwWjvCN43vitEfgasd7B/IOA8np9hhrTvoc25z2dgCA1tGl099RXa 2NiFupZQMZ0vhPkiLH0MkNCxROPoZ+c7Yqgrr6LesuQ33EDR5lbCOKqgFqJ8zfvOlhuDsyHGKwng DlwJHaP9BvgGe6o9lIsM+fUMxWWL/ImD8rMQzucJcNETqIVXxVaoqNu4bmGS6Y4RUJIOOVnpYMgr FM8tsK0JHseeVCqZz2r5XDJW+Xw417rymWjh2LX3ViHtm0faMHSywf2b/86RLoibv0uHMX7xjX2M BwdqkzGV1iBEljAPyS7wYll5bWuUeY7JGAh6lziqn99415XvN9UjaNObXOZgPR6jd36BviYMUAkR RWSooL5Ox8rKpz+LIlzt7qAJlAK1qeqv9FValFAd3qqu8OTxE3ztg69JRVHxx6u2QDOn14dp+BeD tummmmR7h05tWuQUyNTuoAn31sFqK8A3TftiQxXsY0xlwxD5GTJ+uyqxcvE6rDQd5HbicP3YMIoR HilRh/VjOIzruUwuughCaq8VmF9eouAOJoA9JmYrMTB8qDRAhC20uTZQpupSZmjlQXOxumjZAsE8 ngktCZWIYrhhLLkzPxnCZRjph3BpVOMEQdJXSGJWYXWSoZM1M3m6jnJ3FSMjaP6yRZPWqsqp3XWh wWO4LeDUrtNRJmBTOyiaEJ7fImo99K9D3J/sYdDERDGhJgRCGGZqlE6FIqhRsopIuSy/REZDluRo AheIPdRxCYQqQWK8uK4VKnDgxcrzdIcO/F0X0d0Gvfcb1D/N0MwKVFdXIL62fhGifRQDL3twriJR lKbI5sp4nStjGRhB1Rc0VCXabd4sJYYgucnuWP0imj5eDwzVIn0bk6VazV9/pDKpKqd04+89F4vY x2USqAKM+RvS9QSKVQNr9pSbbZa3eBofYc8dw9tQclXUXqSK1ednuKz092VLevAKYZXhzmSCu1ow hkUD+7zNz8zXr5oG83oLtRFxpZHT3SWdDTBzYc3h4Pj1x7/Ge++9JxJ+NmjVrhIqELpxiqo357Dk wohqLzVpnO4n9KJlydQ0gdkKyCaUMBUBQ/pnmipNWLgeBnLcQONa9K5GA9EYNlPJMMfabQWdarNF cSNoX0uSyeRu6DVwIs8nY5z//D+juDrTWCaS3dXKUOkyMb2zRntILonzwliFj2EsYacf9xAkA2VU JanOyhlfETyhqVl6dyrkZFXRAPr0g9XFEaGRIcqwE+5Q7J4rs5HJ1srF7vMY0asYIajJpzwDw6Ge e6VgrfiSyeM0+Os2x//R1hh7Dr7ez/HdQY7QHyM49XCQjdjH32F9GqdFTgPl1QhrT4xZ6TaYRxlC thN5DS6TOSb3KhSsvs0quOzPC1s0jLBiVo+W1D7y3IMW/hYQbCsvtypqRCTcS1s0kxLl5RT1uYeK 7TmfR2jPA7RXIdwglrYZh6TtXf7LLCur/G4W2oKLXmtO0mARj8V7ubTgy0FohIUOE+F23rO3iPVK vrc5g7cUP10/e+VQKrzW8kI2i8zK4NqsHfy6PMB70UsMpfVp9dhlPU7lDh3DIyRjgUH2CtfFFLW3 jbiuMdwgXrp8B/01PR1GGpak3noYyGEbK+N5m3XOtNInn3yCe/fu3SArNNAHU1yS52UUiDadnEnE GtUcAwrjh+V0IS0U+7KhUYFDJe4PtNS83eDcJW7VDTEGx/63M3JropEdZsQi1O/yKgZBbynzys8q faMMVGKdv8c8UB2e0oKTS6gQ+mfFOsFqID0iJjNpmPwwEjiCtC5QVJaI3og5L1YJXTFgLDd7NGQ8 RoefbFI2Dddyb8mwIOelONabVnlzRGi7ToStrf3O65QqT9fKsUZAqydA6AXoL/rYOvcRIVwVe3CA aZChV4XwNT1yzTI8Mvy8An7ZRPh5kuHTrTH++f4Y+ck56lc1jhc7CBsmrJcbUtDWSCpV3qf5jOsA Sak46J0cKI4XkucYXvrYf5mg8VukUYkirMVwpUGBLCpRhg0oEQhSoOi2FYesrVsu3G0HzVENn6yv uU7uX5eoroD6ykN7EaC99oWltH2WSPXSudKMC2urS3Bg2/SSl8ZDmsDFoOiXPYIW7UjnzLgxzJVX +zZtO0b61Vp1G48z2bn1QdoeKmDfGPI2a+KU1mDUdZW6eB7v48N6DB9s71obFp7XDPN1VM2lyb9i asFxkN4iPW+2AzMPebw0/tNwWVAKA7uxoyvbCbHbk9jWw6ZqqsN3cmfai6MNsQtCZmw0WOZDjJGx XTWTXzFeE8MRU8GyMR0CbyATIvNbVYkiy5AvZqiYw6HBkVwLP0eTzXkhtu89QJz0u3DC9tbMsAsB cqNYsdJtD+amCLmC1a0uz0wbNFvNWdHZqrnFvFUQRth+9+toSoa/EIMlL+ZopAQbqd2FDbU0XNpQ G3SwMRBCusdeQVkY6mspA+v+RCesBfhIm64MFt1nYsMaeHUPR0cHQmdl2hZW7v+GEcQk+a8QOh5i cWmsuSrOjFDWKYNlIAatj7xxcVn2cDmJcJaGmFUusuMrFEeXqC+A49kW4koZwPUJbwqwDHHo0VEo noUU0vEM8hh3pjsS/KRegYJQAlabvQLzKEcaK6OVRxXysEJJg8YcbOyi0rQiMrcGHpyhg2BPbzRs As5rtHMPzWWB6kWG6sxDe+6jylq0zyOhu1GsCxGcxFFYsevlPWkLbcgJRtWsq90QTJkBLCthDNdl MvjNjdoCIjX3SRMqbjJZCtq8AUqkQ/UbhmmT4XMU4NgcTraQz6pDvINnYrDkz6znZGUQdGnW2EEH abCF2uspaMNrwt9l84I6Rh2rVdAthgjx+K1exKXDosRcCNExjgiNEhupyaG3v78vPYni15r1/zq2 htuGwVaZDzfsCibHxRiT1QUm0Jh/YQmVKPP59SXSyTXqdI46S5GnCxTzGepsLjG62uWY7wkkjHKH OxgcHqNi9YDCw9qw2Hktw9DYVd8MC4T24u2bZINQxU0VDiAaj2XDp3htmheblM++30dP55LkGA1S VcZNyJLUjuLpnVeMEcn5FXpb4UdZsleqNGqi83glMCrBoMihtWAh0mN+RnYsenPqM9pFhMGwjzxb 0m68zljJeYYeql4reaaoUA2+Kw+ZFDYmBOqMKzsApEdHbt5ZGeH/Ot1T3uadKaqDSxR+hf3pAEmp Ci00ux4Uxk762+Rn9Ay118Yd1kJ2M6yM2gBB44nh4yizCtmUmogN5n6BeZihDGqkSYm8V6PyGxRB hSZuUUeUkVIQCOZHwl4Af+jDO/LQPmSfaI46a9FMXRRXDcpnHpoLX6iY6YE1YxfNnKSBLty5qj6S FkbWHZkrVgwWK6euqhzqG0UPzSdA+Q3YIA765G9TJVRbxs1hDMhNg7V+pKPmIne7zpMEXqQ9vBgc ihBswAX0us+w3iuN91AGfa2DS4zem40zBxvkefvWtUPN9+toeEl36AjDOBMm6jg/P+/+NqDMkabT 2cRrv9Fg2Rgem1mUg0kyQ0rPUqaQ05MT2nPx8uUzpFfnWFyeYfqKzAjXaIpMMCTM7wiwj31JYYyg l8CJ+/AGW0j2jhAOtxD2+jeQ3KbNg+ohXV+UxclubopIhhv6ZB0qyk3TuoGLyyssTl+hXjCprXNq vI6kh97WltqxLO1FSTDK4mvgxSGi/ZEkj4nbEYI5UTjmEqZ6DEGsinhOGro5aSIaJe4+zOHpEFfC VLXDSweO6uAgAL+bUrb80kpz9y1DNhO3lVDLDyGhX0ia425KbhgtsOc0+AGpZWQimXyug/JqC+dO ifGdDE/2LzDuLbCd9sXosFLIfBk9WHpspVdhqmlYrvoL5H4lhrHwa/GsoiZQ6jfWEOwOPb4mRNSE 2C0G8t6L6xwLP5f82CRKkfaUAcvDEmWkmq2bXoUqalF7Wu/RcRAPAzgjB707DeoPmW8sUC8KFOdT ZC8alE88NJ+kaC9DUZpmIzSNJVtslHzZbR2NisudEmhvk8MqWnJ1rL4PN0N7+fP3ta4Srn+qyWHd PBfrwx1j0MxLqWyzEXtROXicHOLIOUfcXC0T5dZbrPt2soe5vvS9SiMIYQwb5huvw064S53SpCis PLFd5OpyVjYNugX/kXmuUw2mH5FhYb+vGFY30SNz+EJHrA2BGYplVLEYCueyDn0IEuOuLz2DOkcl rh2xE3mKT//6r1CePYNjKmYaSgAmnAcjuL0+vLiPaGcf8c4+/KSvRAW0URQPSiPYu1yW1XMo7qYB NmoCvi6Zbxo9pRVPJapFW1D/N336BC/+/f+GxWefLdHBUYTw8ADx8R14pJjNMm2wyGxQos5zOYfR h/dx7198H6O9gRjAIOYGR1iFEblcTgXVAeTwkl8/VkHeunhjOtvXJM82DAP6zIsS88UCmUvAKNE3 zebpbsUo9Hx+iBDUlUi9CgQyGJspiePZCP3PI+S7GeZbJSa7VwqkLl1ELcqcjKzMP6m2HLnDPQfR kDzgPqbbBZ7OLzBIYwS1r4wdvXP+q0GjttNCryNuA/iVJwb3hBX86xqZU0reaxIucJ2kyIYV6qRG GZaSA3NY/ImYQNcssp6HMPaBGIi2GyQPaxQ/KpFdn6KmtzVxEBxW8Hou3DsF6odzwTcR3iDZQbYc mdC+e0xvRzHBkNAcycXNBmgu/nZlkVMpgCR6Zr7YxsikKbgxWFVR6bN1V37eMkIp85WbyHcjQeQ8 DEFeUGm/fIthkTJIDivbkMPKeF/Fo+q4M8S48TtjWOzCV9cSpBWEOv1Sfdmm6i0MxbpDhl8vBCS9 QNJfYrzWh08vqWiX+mOrF6ObioNAXtQltLFSAoasNad5VaBZTOGwokaj4sVw40Q8KG9rD4OjO+ht 7el2FJUbM1xbEm60S+FQWVuaPkMB11SCWmE01mNjSwtQc3CZ8+t+bhSTr69REOdkjfTXv8aMfU4s n04mK9OTDDKDD7+JwcF72DmJESVs/xH7+4ZZcMvPTWHqVkO0JPe/LW+1bKUpMFvMBQ8m5ekEKAnm JPL85ruunZ6DvTaW161jDmRpgcuzKS56M0yHOcpEhXxkTaBHS0Ok6IEclIFqy2B4mh3nGI+mcNIJ nEWDYO5gZ9rHKOspD7AN5F9lHGjzlBCIPShN3+crj7Gfj5AvKuQXhcAsUr/AdW+B6SBDPqBWIJlQ XTQxcWPaC9HrjkZ1cNCDe2SQ/apaGf0zYPH+GdLHp6ifhsCLBO0Vz59ajRHaqSIb9FzbFN0+hGVW AK6rXojcHY1dkudPuApZJwic1p1DzEEtqkDYZ4l/s9HwMgd0C5hrvBrCXTac0riM8DS+g512ilE7 feM5m/OU5mW0SEhwsMGzYWTE3xllbI4pYUZ6DRpJPVPhNvltDruwpj5PV57JZqtp1A3T8dXVtWx4 9+7fuyFWYYZvAKIVk+M6cb1SRSOinGjr/qBLwjO+5IvVNGOiw2SA0d0HmDNJPdpDcnSCZHsPIf9O 571MmGarFRsmU4OzEgJBtproyoi6UMNvxXMr1A2WnNNNUQvz/XoTp9frSYVvfUiuZTBAcXq68nM3 AXZ++hM8/Dd/gXt/8jWEsXKbf5uDl0oNQ9XetMSarQoQZJjMZtLWIDuvVGMADHzk/RKZU6BPF+Mr GEzgn2R7OM53kU9KFE4Fv3FReOS7VwZL+NydBr86eYUZ805ejXKWoxor77QZkl8rwosmxdNsAidt ESwcDCcxBlmErTzBbjtAANJGL/F5G0GOCNCvYuyWQ9xN99Bekmgiw8zLMellOB9OMUtSlP0WZawY IVih7fKAuqVLXtyM3vXRf6CAmHU5QTGukb84RfHUQ/NpD+7jEdxBDtftvyZ0VCOjNJz1e59dEwQl GziKrqyWdYCPpwdCgbQoPSxKH1nhIC08LOYNmsX8Bhury02bwOXa9AhuHvz0R/UR3nGfY4Bpx/zz ukHaSdJ1q6oe3gxpMJ+lQaS2ILFZ17aIrGEd5TCirXZFv4M0aQ8zTRfCsnpwcLDxXHwaHfWhdNuX WmOmSshKFY0VJ1+eZ+KyGWi+PGpTegxjHH/3J0p2XvOpUzrLdHmrC7GwV5YgqxFmMJ9tGx4Vthvq Zo29YmVQFDf4vsu+QvM39su4n36POKlbagx6B7SnydZ3v4f3/+c/x70/+0BYCMyMeCO85rby0OuO N665RLSOYN2S3pKSgw3h3CBmi4WSWZIc2KrL7CUeikGOBSXa2ZS8knj/Iie0efC8wtaXlwpZNQhQ l92lJ4yI6RroTXzc+2wP20UfsyjDIihwNiCXWItm4KAeeZjcqTGuZnieTxGkZ/BnQDILcZRuSZVx UCtM2eYUtb5nYlQjee3WQxxmIzmfzC0ljORnj3spZoNUDFjTUzlYo8ZiqIrEgEUuvD0X8Q7gfpt6 kRSfvcZ3LhYYn+b4+biPl2kPl2WMmZQ01zaTruFlece5v2VtgwmjCG7UAJ4VwMengYTVIGccFLJc kuhrz/TLjIvMw6t4G3vOGH1KaL9hqHnkSEpg4XmYbCgwzEkvxbySfvGIa99HrtWh+F/nGDD/rT1A g8nqmFYof2eFhzbWU1JLHntnF9LtQXaHW5LuqrXD3s35NcO/XtITEi45acaXs1lHo2LDHZRh62G0 sydCkL7nIk1zHbNaElWl6VljgpwnqsI9Taqo5axVU8ASU2XjOZYlUgVFMN4XvbalKKrBXRljJZ9J l3qDh8Uzqs7O4G5twSE+aqEecu9oB8nRjjCodgf+DgavS57HQD0P5qcWi1Q8KtX6sXknJP6r3i1R bhHxTp5u66jXp8PeehjjIZketxGPK6pVYl10JDVfd1A7GFY97JVDDOsEYePh7jwTaEcelBjHKaZR ikVco+g3yIdAttUiRYFxdYGw9BDMXYRTF6N5jGEWI2x8MWDUItx0Tm5Dzism810pOvSaEMepg3rS YHpFMnoH8zDH470LFEcVGmKuTCuJyZnq8CaMlrQ+7w/6OL7TYlFmmGQ5Xs1aPL1u8XgS4PNFH+eZ j2kVohK2q+U0OWtrXJQ5LtIpnk/OBYjMjaYi7XGWSaJ8JQf1JndoQ9rrxmDxpKjwaXAXUeNjt5yI QKwqHvG5uaj9EE5RqfCzaXHl9VDcr+B4IXLPw8LKU8naYBW9bcVbLBjxiPoPNQ9UF4gxOnb3iTCn iHq67l3VXF0mQW+8rBXwuK7ai4NT1Tg7O8POzs6NS5TVuFJx01AGxpDSfa110JTiq6j3dahzDlF0 oYdEL4dMmZSzZiO01kPrknoa9GhCOwP+VEh4w3Ol+HWXrT5GRsnm/FlaZXOMAqQqnitlSLXXRUyY oykxGBYQ+LnhmfPTnPEYDquFeoRbfQSDNyWrvuDYAOC7qeJbIvSoRJRhrg2VSJHfEpIIxMT3EZMl 4SSAd5Yjf1UioTbh6sd+ZUOyO5QFc2sEjSp10lBIrySfaSv1NZXnEhKGEP1KH5O3GGWJqiZ6lXhf hDEQNX8VL1D3KmRJg/zIg3fkYlbO4RcpSB/lzx0kswDDRYxBEaNXh4hbit7aDEuqYsyksyD7ZR8j mV6EKq3xIrkETQdHfOGiT1I/z8G8xxxdiyZRHoCwa0jp3cFWz8VO38NxA7yzU+M7x0BWNZgVc1zM a5zNGhwUC4GG9AoF73gyn+Kz61dIF1PkJSH8ph+P1D2rxuqNQ7oiBLTXvU+HjLPwkcxz8RmcZxGm TzzcebpAL9UsuFxHpApP+uhdX3dN2PXDAV6+M0Fz2FOwHcOBRZtAMKmunjPxLkGA9rIEuiIwFt0y Z2GxpJdYc2d1WE7NuGI7OobkQJwQXSgT+bO6FgfJRHm3qubIiVKdJYq6KiGpIUwMygS9LcfN0GXO JlrhaSL2iD15oQBGjYyRDepcwvdV+4E50VuNlRg3A11YGiuTa1t3KZXnZ5DtLQqhLlZEduz89ja4 mN2cGDGcWO4u4bAHv3f78fYQbI8YSQURqErG86aquawmmmjxNiQyP58d7c72EI7LxmbVHnOzIK0f HkG7USTGSiotpKbeLTGLMySLr9bYknyudGuBHfBrv1Fq2+xdlNsmSmjmWdmiDsuFyZ2XGDGuH6kY li0GhZpbBJceBKnMg1mSo4xIJ1xgHudIuZZGDCdbTPZyXLU5omIBfw4ECxfJIsCwVBxegzZGIGGr fpbEuDF5To+C84P4N+ZNnQZJ5uPuxY54gYsgl/vG32e9CotegSyuUJNyKvaEiUK6ClwHvcTkbVrk W6o9xm12UGQhHucZ2jzH9XWCKnDRjAO48ynqfCEUL4o5QfGMrm4lyijJ7zSZo/SyGsNmIA2tfVcV 7KZ7G8I92hZ52eDS7aFIPew9n3afJCnYPR+9i2WoGO0shKE2dxwwTS/Hai47fh67WUPy1Zn30KHt nP+mKfwXL0iqB580TzRe/DnTQhqPRzNWtS0WvR7Kg/0OpyUCqlb6RwGulzqK9LKoZs3mf3usJHU2 GSvDtbQq06MmZkku8aLU8tWKDmI4GuH01UuEnlrsneLGmmw3F6OqDnivMVbtG42VDWq1rbekb4mU F4Fxj+VQYfN0kgStDvuWUwUCcWBoKOmErSGCQQ9+HL7WSNEoVWWLdKbOiXxqbCqej3leaoEIQNRv ESe1NFj7pBVesz287GJOqa4as3GKLS5OusydDvvqYI+hcGNFoUh/KS57TuYA6Z6L2X6JnSeVJLKt 5YAvO5S5ZHJdgUelOih4ogol20kIIdH/yjDS5TROr/lYacEgJqv1BLPFMIYA0xnhJdpA0oiwJ5Fo eAJZa7dFHpe46l+hGdDwRfAzF1E5h1c6iBc+In5fBOKFxTVZ1pWHyhCW72WgMuwTpOe1lw8wLFTo SYwYeyazoEQalsijEmlcCc6Nn1uR3zF2gUCFOT4rjgHzvwGaaIS0SgQ8HW2NcHR0jCqdC5A6n41R Um2GSs3jC1TpTKp9itdfb2UqT2LyI9JlIU31so4UY26nkWiGHVZKvkj1H55uD/DJnSPMZQdlhwUr uYEwP4QEg4saFHB9sI+615PNPPR9bOm1sVT5hHDT0xCZKImvnuOgv0jRzwup8YrXrQ2UwhAuUfFp 2+Llzg7OjxTJZBdpWBoF3fw0qllocXFxcbvBYl6Jxkp4beqqM1Y2zkkUQEQthIl2GrRcwkFzz6Sa OBzi7PS0awI1YaAxQHIROu+1gqG6xVjZ5f2lsVKfpwyV3tV1KGh7Xd3B/DzG2PSwNnDsyPGSNxqg nc2kohiOEngm2W5wKkWL2TVbCtjhTnwJUOYOck2HIgSQcJHOOWc0WZ08+QaLaYb+qMZg5CIgjXEX Kqv3nV47WIwjRNEAIaXDN+BQVN+mL0ZKvCorb2B+7+2EyE9SjF8tBA6gzr2r7eBLDVEH0xggqNCO OCy+aMQMtqoL/zfQqy+/t5FNZknoCa4BwEzsezXDOk+qgvxbwhnohfGYRTTG84OP4IxeoA62MI/6 SHsDVGWIJvQQNCH6bYJB1UOYunAKYCtdyLym50YEu2y8zLsZT0wArT6SOpQ+VOT0SGg0KwHEEkpB o0WvK4tLLGi8wgZVUiMPClRsAfJ0qMONvz9AbzhSGzvhP0TlFwWKxRz5+BLlfIIqXRD6L5RDJN2r SRM0pxgJUfjE8Wj6bfFgNT7wdaGk6ZEk7CD08PO9LfxqukB9fiEGS/jX5nOhjBF+et3b+I7nYZ/O BrnhWCAzMAyzmW/4qJgVvabBHkVT3zB9ZoRc2PAGo3ClDZN4VSzC6YZ7Q6RAnjd6YtyczdySVSWu bqiMlaHLtY2VgSKYf7O8EGNF74qd1N300w27FKtgDGr6h9YN0E1jxXh3qY+2zEWtGivlQi49K5Ww N++7bAFQn2VslWmzcISRkoZrHakkru71NfyjI/l6+PV30D/Zg0fqFD0POIfytMX1GcUuKGiqPCNu fDRS0hiuahIa0LqUIRN5NNKX6LL0YLuV0IJKLtmixWLio5izFy/A3u6BPAd70HuiF2UMFf9dj+3N 7Ar6EYo7ESbPMmx/TuzMb155UkR2CsJAr4fGiUnukHLw7IXkJBMckhYKtVHRnY1cCg8sX6sGdGUp mm4H7YXRmDDpTmOZNCmy2TOM3L9C7vQxxzbyYBdProY4e0EtyQjx7h7CwQhBv4dg2MOg7cMj00Si bAGviW1A0pCtvZj1wTyc14SIixBbBT1zNv1SZCLHNMrEE8t7FeZBgTyupGqhbt4AACAASURBVNG7 0o3eDTclKaiqHG0cDOAOXTTbu6gO76hmd0KKKERRsMWIntgU8/NTlIsZ0iklsFvpvWVOWLwrvP2o nRaXgxjzQQ/ZiwL1lGbj5hjs7+NEi2UYrisplOnfq+Yy80yWmUIm4JmZm7Utem84l8q8j2ZKMZTK BvnOYZLzJkyUnuGqxvh6jMOjw27di8EyQhM8mMZKcECa4tTQ8crJMwHP8vpcSWZvuoEMK/f29zGb MSL2385Y6bh1eewyhFTH2HAHm+XhNmNljJ06J7kpbNJMenAJEr28vHHu/D6+c4hwFOPuv/pjbL1/ R+Wd9KZGWpKG/OINWTKZvGdyWdHQ2oaVu6CClVhiAExKuzHqosbimtz1Neo+1XRbLIjAzulFkBnV Q9Lvr3hX9HxpwGioYqqPWFQ8ag7p9Ks+B+lE2I9Rv19jfJFilCnq599GlZPN1Kr6pACD60wYyzu7 HG/j4y1Ty2t/1xUtFE/p0J1hSzIvL1GVHi6e9XH+l+cYnxeIDg8RHxygf3yEowcPsN1LUAyHcNoh nLoHzwtRDl2cHy6o3oagUPQ7VU4KHV++pqG0a7LGC+vXDoKc4WsAjCGIfHKEncdTpFGBoldLHoyN 3U3ItqIWdaAoeThhpLWNucedWBp+DRMK2WcX42sJIyenL1GmM6TXF1hMp8gn1yjmUxFZoSbASn5r 0z1k2mAQoL1PvbgS6eNnaMaTDQcq1gWXIE4mzHVEYiKk7ilac062G3psriueEw1XJD2MmwetBz+D a8MwENs0UJ0BW8+n+570Ge4fkL1E63MaCIOAtrJUMBRGgcMYK+VZNaJCO50vdAVg8+D7MSwcDkeq Gdoi93s7Y6UT2JYI5Do2a7Ox0oycOj/WLWpLGjs+3sfWd76G8nAkPYV1qsvLAh4d4vC//QEOf/Q+ th4cIBqSn1rnNI36lmcJzXZo+yX/dFdcWFMBVmVdFz4rlrWP+VWG2TVDAHotPaFd5r3Y3tmRooVt hJhvGPR74lWtI99NNXTFYLIEPeyheKfF2YtLuJ+RrYHK1L9JFkt/nv6XBoqJd9jfSxP0cuNYT16t f3ZnkLqoUH3xJvRY97NON0z9hNQsIVkhsjnKpy+FEHD+t3+L2WiEg4cP8cFshvN3H+DqX34T7dEu nP4+2sE2JoMIV4WHJvXgZwG2F30M0xhxpkCqNF5BrXixpB3JgrJLvhOuVGTZIM6KpTdXPa2zIBNP jB7ceJCJEcujGmXcwImIyqfQLnsfFbuvOAjUC9jZQ3B4jHvf+I7MscV0gsV0LAZscXmKyekLzM5P kc0mKBlSkq2XrChGqcqE3JwTZAju+3DeO6EiCdJffopmuoaA14pPPr09TUpJD9nXXnL3PGy5MumA cRExGmsaTPj3bYuYf6e1kdY3GwHQ6r83NFN0kpKeZo/Q/YZCUmD6iRnazqZdZCfP2ai2Epio8Fgq Ec6bZUBebG6ezRdI30LVQt0rB4dHR/js009UMl5AokuDtW6sjMXtWAptY7UmS2SqjsqTWV2o68ZK iOHYlMn+rabB7vffx8mfHsFrK+TTTBDZ5YL8XmqpbD/cx+6DXZIzKVVfqzgjHqyEhkT3qlB0STyo jKKzlq9bEpupaa6OJ5qfb9aThnH+jqOXJGKw1nuouuzTRsSqpsfhvTO5ADYE92L4hx7ab1Uon+fY mvXfipf8zUMVDHK3ktDQDOaxKs/wIhkDtGGerBXG1mufb4AYLb+W8FPRRq9awptG2ZlMEBI5/egR euNr7P30GkGfoVaMubuNqXuINDhG2TtGs32E68DBaTmFKwwPCkaxNe9JX+SAsIU60jm1BkSgGcIe ezB0HdQOBnVPCgL5vJSNr/BKnCYTyYnNRjmKwQxn/QX8QYCoT0IA9tUqZD4LWfS8hlTHSfroM1UQ Uq2oxOTyAmfPnuL86Wdw8znGL58jm1wp1ow814wkGj3eNghiF4MHh5K/Xfzj36K1iEmdQBFIVp4r lb+IOgEkoWF6h56PDumUVroahDqw75D9hURpsvBQ1jVeui76lDcj66/1fO2/NRs5f8Hru3NyR4zU ZDIRfixJKRjJMigBHJs+XXoJhZmhyMRD8SU/04iSi+AhUoaAyqt628GTkgW4vYPpVLmhy2rga4zV WjVwU87KwPpvGqtlwl79bElhoZoxIZNieOAh0aDMTYPGi6kmIfpkqVVppSq6cCU+Y3FXmxYEbax0 3mqjsTLir8aoakl3I0xxcu/uTWPFhK08m3Kjh6UodzY/FxYMeu9s4fLbL9D/f3Ophv2mPhaNHsOg eM35p7kk84KLXOHvNA5rE+Zt/Rx0QXH1p9rbWv279WNuKt0IWNzXslZ08pIEWCysqn8jYU/PLeG7 GXZwDTSPUGcuZosEF84xLoKvoYlP0CTHwPEOMmK06jnLuHDmDdxxi97Mw2jRw246wFbVR9xGmqnG IljsLkHBKkJ46JcRvNQTCEY2LpChEDbYq2iOF8NzXG+nwJBpgURAkwoPGSJi/61uUwuiGFsHR/B6 fRw8/AC9OEZVZLg+PcX58yc4e/QJZqfPVEKfytKSRCdvuoPhOxRm+SnS/++v0ehCuWIOcXAZePhV OUXx6ilCz8dJfwff7Q1x4Hp4TO/fcTGy1qeoUzOMJSazabBFD4v9gPSK2CkCYKQ9Lv6FkGCa/DQ3 6F5PJO65lvivKfTZPcCC8XI9MWZUkxZspVCvpDRICixnWmX4L5Pr05kCcH3RIV7W8fENANhrjVVn nFRS1jAh2J7VirEyOC+bisYKDRXS3ZIM0kq7rxtymsRCGppirgsyJYtYqBJzcF5jrDphS2w2VuZe 8OEpRRFgZ39PtAU33UNWAsPbWoreMPyej/739vDs5Ss8+HwHYaUZRH8LQxVANMTEZMvXYBFrfKkb DdLNVPzaGZs4khxfa++xs+3i4Y/uYPDgGJPzFBe/fCEQFuHXN4IKG0jqyAs28uYY4jPcr5+gmAXI 5n3MnR08Ke7hbL4Ht3+o2EUGIeb7PVy2BZ6WE4SZB38MbM96sils5X1sEfuwzg67NlikINfXOF7g ejdFu+0h6fVRh8rDmM1nWhVZ5XKYtgl0X6QhyFRrwEHU6+P44XvYu3tPFJ1evXiB6/MzzK/OkV6e oZxcCa03RVPCOw8wf/AAxctTZL/8WCrnnMMV13uRYTG9kHMfTy7wJBnhZOcYT65P0fN9fDjYw71k KIarZ/RB9SOZs5jlOJLAJ+5q5jh4yeNoyHigdoKoYCTsLI4rpH0mb07tQm7ORljG8NzRCyMea0Qx Yhqs+WLeKVd0+Rm+SUE2gMWXMlZm0I07unOM89Mz3dCrQIbrHOw3jZXyltT3xlg1b2GsljLatrFS hpGFBIqVvvm8xWitzWqKAKhzt8GvS2Ml52obK/ls5Vl2kA6dZFx6Wg6SpI/dPUWJvPx8RZDI/BWB oTRYm0PC1w+eQ7yVoPzTbZz/5QIHZ/0VrqyvenTdB/Jw1n+58s/yHG97L/v3N0JJha5bH/e25jj8 AYT54Gc/c/B/P6EGQYL5wRCff/AtVFGI3pBN1jcJ7hSUk8wMNXynRA8pttorCb9+9u8vcPaiEEYP N44Rn5xg90c/wp0f/BDt0EOxw8+cw60XiIoZ/FkLb0YoRSLN3Wwr2kJf9as6LcbeHM96F8KBX+62 KLMpmrMXCC4vEVcl2kEf9eEBqt1dBCzCuK54H/O5WqscUjUmdrCqxEPhiyQDKXFRUYzRwREGe/tA /YHAGZik58bJqn46n6GcTjH5/DnyNIU7HKhqpiACVNK2qpmvvsanbY1iMUWKFn+XLdDs38M3+ttS JWRo6Ou2nZSVUM3gwCXGdh5uwU99H1O2OTGkq2uESdKxv9BzYtGB4a8RXDGaC3a7T8Zcs+F0N32E QrWqkcpsB2EoyNzVbzK4yAaDIYosx/XVlby/kQ5brRyuGyvnhrEyrTldE8YtxmrZQ7g0VirHpAyW SNG/1clv/pGBeXTgOH3u5rNvM1bmWuXYWnmxZBLY0q6/uW7mMHqxgpiwJ9MW6PgygyFS/+4WJj8s cP7/zLF3mQhI8ysf+lmIso+Rx9Lh3tsPk3gn4HTzRikAlZYLxTCDLkfgNQh6XCwNEhIoam/ZOfbQ +/MQPluJKLy6To184ywUxR5Z2gOGuZNrpL9+3nl/xfk5Ikpc/fD7ivKXrLKhuu6CSXXyOR2oUPK8 yhGULoLFFVn+hJDQ6wfCsFrMzzH4m5/h6B/+HqPHjxERA8hyfhgiG42Q7e5idnIHk3ceID0+RrGz g5aGiXjCGiK9x8IWZeE7zQVd5VcVY6XeLvi8rpG+lrwYF8/BOw+RpSl6w4FI1VE0RQmvaN0F5tII cBVIhQoBeQ8YAvL9JFNC50ZHT0ysmyfCT+MTnA2HeLW7K+fMfldh9w18HB0fqXRNXQuiwMCoTA9i xxOvaazMRPJ5IvLhJM9r1UJi4zL5lt4mwf6mwffe2t6WXkTyN5v3XOIv3s5YqbapNxsr+VlnrJa/ Uz1P7IP88tdiKoa2sTJVD3XyyzyaXflU17nk7aJrzN1uRFn6JJHf0YuiNyW7j+wsb2YbfdtBtonk a9vI8wmm/1DAvXBUD+BXOEwTMfE/zGHpTNKyReYtkRWdiOhrj1LAhtuO6bxec8+DFuFeg4hVxC9o Qmnc2FzfnR8X/XyOShLEjWIv1eK+XKGi6cg177Psz5ajBm5ewXUWQEQMUgNcX6P/889x/NFH2P34 YwxfvJDCgMnKtQa7RD3CfoLZwSEmd+5gsbuL8cOHmH/zG6gpuErqFoZ6UdytF1Gs0VV1gdOsOQg2 s4nnB4gGA/HWWJ3efud9wX1lZ89Rk9uOkQmJAmnAGYbWBT6bnksv5kFvhN3GxbaGN9gEf2acxTHG oxHa7W20Ip6shXh9X6qDFGPpP32K9tkznDnAjDkt6hhYJJ3icYnmge5hXnK2qxyRAYX+JqHg+iBy e3tnV6aZcWtN0vqmsVpCFhQq9qaxwjoo1DZWGn9l3lsZDP5MtbqY8O0LDy1Uod5P4RxWjJVVIVw3 Vuac7BwWwbVMrCa9nm40N4Zq2TD+VQ4WHJwPKfg5Az4qMDxnU/JXZ7RMmrDzhrUv/DaGyvRLLkvo lvO0sdhID44sobcHlFJp8pVRW4aqX3wD1i2xq9ehBTEEEiNgdM0oYhV6ZG4KTK1Be/YCh3/1V4hn c3iseF1fIzk9xeD0FLE2VKvXp9phWDCIFguEaYaIVbSdHfFyFid3ULKifHaGw7/5GzhRjPM//rFq 3hf8pI4w9FzviAa0WroRBeYQeh2Hyk4hdk7uI0r6WJy/wvXzJ1i8egbkqnHbIcU5+deLBWZ5jGd1 hZ2qwlEywkHcx501e8FC5JnvCwOqzeTADZ3eoBjPssToyRMMX72ShP2418Ni0BevrKBKOzUP6dlZ yjm+LUfNEJDG6rbK028y6EkYo8PypZmVRhRiFSSqDKiBOt/0rFaNle1tmYT4qrHiH/CGSub8S52/ qdQriMNtxsp9rbEyfZl9GqvdXYyGA5GhZ65K9Ad/i0O6ELZ6yL9J9aopqp9n2DoLhfnzqxjq/ix7 Opf3Rj0LO+lu1IVWElVfyJYo1R+b4fPGEcbD4kajISpfZjAHzIrrjY/RxHySHzVal4Z5QOcp5XcU HL64wPF/+A/Yevq5Qu5vwCq9dhCUmWWIsgw+absFd9UgGo9x9//8j/Lz05M7XGTwPBqW5dwUQeDx GC7xV9tbqLZ3ut1FceAtO0rCuIfozj0M9w4R7R7iemsP85ePkV8xEc9exhqN6wvVzmJ2jYu6wssq x2E2w3XYw52whx3Xk2ubc56XJfYnE6RszO/34VA0lZTjOoFekTXi6gpJlsma2spzpPM5XswXeDka od7bU7x6lqyfTyoIM8GIsyr091/1EKhDrwfs7sqDns9nYhiNvP2qZ7UJFHqzt3CTsVrxxDQPjwEm pnNnRd1GeVwqbLfxVoIZ04n9tXnTMTPKZ5vw45YwUJ2TFgqlRBUgxop4q9FwiF4vlnzV72wQ2rHV Q/PNFqk/RfOLHM3LFkmxlPL6skPjCjvF71XWLjOf3ioofMNvTUqBGabN56yeCXv62JvGCjiP/3LX 53stgiSGw8S0bm8xqQrz8cZ7MXPZ5IvMcUSRR1n+xhaW2waBnAypGq3bJxdEJhB2ZywW2Hv0CP5s pqG7Fj04/2OO6tcfY/9v/w7pw4e4+Iu/gKs7JkyRTd6L4ZZmBmauaevwGOFgiNnBMeanz5CePkd+ daZOKFugzeaoHBfjxTUmizFexX3cT7bxIIyx48cofR93yhK7V1e4ZE58NES6syP9lax48vOmsxme s5WPEQYxXXWNmNFdVYFgKHqUhDWYtS8kf+bimGhn3uqL4K1+I6NFqev5vJuAr2+3ad5orJaIbwU4 NaRhPFpJT4VIxx6yqZbcogagMCkwMa0gD5wPjsu4X/1cKHocdS4VFYOFGHWVReLtjVUrBQh6VgwD TevT73w4QG8rgfdNF1lviouPcjTPW/QWgbSi/AZvqxcr3XbFhnXDXN2wGes7wk2jstn50rCGNdZP 642UFBu9Vu1tfOk9mHNJVLwjuMzB6p+ZRmQlbUYRVBX2GPolo97EIRvybxLnLxYoDw5QkGlE6wdy Q63iGOcPHkiuq+X56SLPStqjrjB8/hwP//IvcfHoEV79+EeIepHcQlFCF0yhWkPCHarB4oL5CiPs 338XW8cnGL94juunn6C4vkA1uUSttRFVfywwyef4eVXghRfi4c4x3vP70sAmVNFsYp7NcMFU0LsP hcBwSA9rNsMpc7hVhZPFAgd1LZVFVhv5mmo+MnszlSSGwmItea9+m8MYLSLhSR8xnYyFT34FKrCx kVnldlawTmvGwiTqTGuMGBDN7Mj2FztHJmovpWJKUHqH0vGk+LQkR8X3b1RlkT2+lK3LOSG096a5 vN5orEoWM1ps7+5gd3evI9enEWMhgv2BX1Vy/YuMsB/D+7qPdGuGs5/NsP1Jg8EsRFApvqIvPDQ9 LhWcpV9MG6wOlnD7H94CLtUpgY15LTGPr8lhLT1mdN7wl7zHfI6suhH/tLcnXFcmL2YUYoyh6jo5 OjZcboa+oMlNAeBNYzWQXo7GzK+qFKEXjnR3Bx//T/8jgqpCducYcaD6UQ0vmcwrJss1+V4grTcq zSLEBSJ8TEOrsE9c/xJ+EfzrLjdUrp2du/fR3zsQbNf4yadIT5+hSaeSnOfOTum+tshwUY7Riwe4 5wWog0igD7ymvusiCUJcJwkWRYHw/Fwqo8R/TeoaCzJV0OPjfRXPwcCR7PQCqAheCwEfk+0288Jv c0i8HEVitLhgX7542aHYl17UTYoZ8Z6MjJCeHEvoAlaNlTYY0thphYomwa92PZUkNg+sbWwYgTJs 8iq1V9dxzCvPyrzPxpyVuNsEy1XYPziUhnADXzC9UVlO7nZi4H572KjXDS/wBfJQbMe4OLrG9O8n 2D/vIypV8+8XMVyi7UmP5rbqpmVwWHTTgd3Gw9RBN77YkMO6XVZdTkHj/mpho8WXGtzhCbqsXp0C A2obqB4tpWjO6h8pg1Wl3a7Gyd/qY9/UckQ3oR4MUJOHjoaP1TMy4FrHTbe2MN/ZxmJnF3l/oG4n hVU++EBoaEIm85mk1l6fIcasPA95v68S9nqzlDktm766WVz3Zl2JchUFTvVGbwwvr6/X78trsHeA ydkrTJ9+gsXzx2iKVB1LDdIgxOnsAj9Di4eDHRy1ISLXRTHYRnVyAj9JMOBnPXqEpCwlFDymsI3r gjIwF9oZYOuP6We2O0B8ItnJGW6S37/LwRPZ2d1D0h/g+eefCx5DMRK6N40VbjdWK03GGs7QiVDo lqCu6mgZq06sQhC4tyDYVVyoJqGhjNEG0p6kHJ2X19SSnyMf/t179wTUZ/5mZWhpst/nkGT8IEbw 3UMs3pnj0384w+jnLg4mA8R1sBLa3Tak1N/pDa7SbXefc2vZb2PAt/bTDfj3Da059vEKZqHzl2u6 m19o2MIj5poMi64mAWM+yJ5jq5so64TElW0+13QwwOPvfQ+f//AHyKgUwwryZ4/w03/7bxHPVdNf ORjg2Z/+Cc5/8hM0SU/wUd7aZikc9B0+0OKf831c/dF38Hc7O/DHYzS+QgV0N9rAfjRKQNaMv+z9 pSdm90UpZyPGwf13sXN8guvTr+Hy0a+RPX+kixAeivkYv5qP8WR6iYdbB/hWsiU9hhesVk+n2L66 QvPyJYZlKYaKOC5SPw1JTV3XuHRdTAVGocJTMpCYTdBnKPj7MFb2IDbj/oMHGI+vcXVxgcViIYbC YEhUHup2z8oANu1Wnrc3Vs1rjJWm2rAmgjKQtxkrutUUi2ixt7cv+SpzDZuGOtvffTh4q+Ea9bD9 42NM709w/stzjJ54OByPMKzj1xouCZGEHpqeh2F6NfHY61tyNp7LaxLkynS5r4U1mIBR6i0Snn0x CnV7SH6HVT8qffFZkoZJwwLKqhYPgWGV8ZrV3yznnJTvJa918/4R4fSLP/kTPPtX/xLNw3clsU4g 5Tzp4fz+fTz68Y8lNxVOp5i++xDOYKCUn6xuEQ4CMaui6kjx1LxVa0aYGLZ34O7uiiflWlFMR9tt qK2tTgzDzkIabl8bOQNI5ZymqDIN196d+xjtHWL+8AO8+sU/IH/2aYeWz+dX+FU2w7NkhN1egNFi gZ2PP8a9zz4TDNaCTdOuK6o8EvISOEqvkKGgvodcZ9z4u2v9KvFWX3aYm8BmacIfxtfXgt4lU6NN IrjJWK0DULs+Qot3Zx28aQyV+Z0xVivtNit9iQaMuNmz4iAal+9PMCjLtmz+vk29Vl+0nmC/P4NV 60koNNelEg+hdyg85t8YYHy3xPXpFXrPgf2LBLvZQJgIbhsG4LsuQfa2yAU5hkUOy2Dd9tUS5bXp nflM9ZygYI6mTfkyQ4ou+uuQLTl/8lNEu7tM7Eg1zWyQ6thl7tT+GfNI5VrYzzDw43/2Z3j1F/8c 1YMHcPxAFYk8D9XePn755/8N5n/2p6JIzqpgHUZo5T14zHL+y9rgvCUAnHNeK7nzteLpyabCEFVh IEWDgedJL6ZehpBy97TnbzZo1fNqOhcUPMdI0/P3/cEQvaSPwc4+Pv8v25h+9gs00ytpB6rrElMa npBCJOTlegJ/OpXWHXpTInKxJiXGtTFoW8x1btAWVf39JE9uGWJNqS69H2AgfFoLkRbji8ZEGBTk JhkMlvo7G3dlh5HK2CjFEDvPpYyVaixdHnuzN3AVpHqzkdnwhbGdhmh+QhZYAWQuYSMj6K3Jlt/N UEho0gWVgrkjvbVi5VD0uzbI0qXke+CiHfrIj2s8Py9w8fwcO6cxdjMyFNj4LZUg533xLHogc4mb v9Ge1ErbocFs3Ui5rw1Wykjusnn6uswpEbbSJd353JU38UXvtp2896IIo3ce4OA731b3UntWMjeN WKtV8ZZzoXGII5ydnGD06LE0AnNGfvrjH+PFv/jvkL//vnhtXe6WRmTQx/QnP4FHw8hNl59htD2d 5UuMSQfC3pDw14BWQb9r42mMFV9mHckct1phzBpSc1ilONRdV4WV5TWqVrum9SQnzdf9P/oR5if3 MXnxFNn1JVrPR7x/jK2T+8iyFKdPP0YSJngv6mOLVEh1jT1S0riu6CJKm4/niRI1z4GFKemT1Ovp vyqDxcGTZHKaN4KI2H5/gHwrkx4p9k3R6+Ji481Snev+BmO1KmrRIepvMVYrfFYroFOTw9C9gUxG SijJyeN2uo0x0epx3HXTv+2wAX6/zSHtQOTgLxStNb/mJDaUtcowL0UGVgbrEQMHTegiHzZYHC5w TibTqxDDeYSw0tTJTiWcenyroi2FSrj7/BtndNMrWveVCpTIQtKvVELL0hdOed1jKBAo97VGSHCj wjdPDQYHJTnIvsSQ9xGudjWPwjhCf2tbDP0iTeUerlInrVKG81Xu7uHF//CvUd67jw//3b9DmiR4 +c//HCkT5kmvMxbmWYl6zsG+bI7rSXzHGCtizNZ7VDcca+AVdggp9MMSvuoQUn9+lwvW3r+pNsrf m5+ZMJcqOaLazvtb8YHJexFnFff7GB0cCzsq6YbYOuT6IcbPHuPq8gX+3g8x2buLP42Hwg3Pth6j lC3J9sCXBDznKNf99o6ilvmv0mCth4l8EWBJIyVd3STyJ6k/VYZ1GZb/qoliUOWKa95gg9QzXHpE Ha+0BfCzjVWX2xIrz/KuRrf7LpIohq97r+gNKtWam7Lybxw3EOFf/TB5llzfM+Ls6FV1LU8ca3TL G/Nt2jVv4wD1do3FUYVy0mBGAsRJhnKe4WqQwmFDcu3iqlfj0V6D/dkI/TIUtgJR0LnFZyKfFmVW Z24KJC6KpEG218DfjUWqrXicwX3Fia2FPcQt43N9zT2nJz4cwL9/D83eCT537pH9CrUTdChX0u+J MK0mulPPYtn4PMA12NrcOFfKKhq+emtxqxBY54zMYl5j0G2THrJvfxuv9vex/4//iNn2NhYP30Wj izErYOdOoEEZq03hpmvlbk0oZ+b2OlZxycu2ZBnhhmVyvCpHbKU31hWZu8q79tb0ZwjGzYCEHbeT 7ZL8VhAg2dpGMxx1RQhZs6yc+55gttZVroXkj4ZLwkPefcU7J9VJVkNNDgv/BAZvFhPzRrra7BBl SW+rVFgnvQhV2GOks62+Ks1GITgTTaHTJd4tplPFP6TK2aTrEKNJT04bz9h4Ul/GSFnDhF+dDNpX OGRSagk2tlrxJdSztnHUxQyTl7vNWK2AZKVh1gd6EdqdBlnZIJ97yBYuAn+AZJiI9zmux3iKMS4n C2HrvJNui3wXZbYomkrxBhb5eM8p31XHgBf7yBLA2fLQjgLUAyDeHYgUVt6f4crNMThrEJecsjRW nlIvtkbZ+phhhJmzi8vtbfS+H+PwvRb9Owd4NdzFqeejZrDBNIGENniZ4AAAIABJREFUwKrNQTnZ qvginRDagCXNNTxnjvreEMGjRgCk7CGUZLZF4miUjO1+VnszkqS9F6M+PsbTP/5jpFGIfDhU/ahr xsoYjPVCkR2mtRLjasOtp6AxDMxjGZyiXRAyx0iOUsJICz8o173sUpD94BZtBGOsjO6onR4xXp+s SaGTclf4u/rbu9j98HvILk5x0OuDFPfrQ+Zk167roh8rRmQz/kkYrPVhPK8uGSc7gebMMgwP+ljl yirCPMkFaBgDXXpWKsTj0rJKnew5O9pJg+EvCdPsHMVXNcwO9lUNVclRHhWNFD0qRZqmd+n16urb nqOV1zD3Wu5H4CLe7ssrCnzsbG8L60cQhbiKxyj2a1zmFcD2kLxC2ZJrqhD2BDf04MUemtiBO/Ck QumGDoKEDJuRUOMyzPbrAM77NGwpxr8q0DxrMFiwX85DUQeoW/KcJlg4Q0zdbVx59zD272IRb6G/ H2PAZxgEIgiqOh5u9p+u5y/ZMEajljZHcNsa8fdPsOftockyMsp1mgbEz6leQk2JYs2PFWOhFY2Z zzn705+K1+uSmtxOcltwBPMsV8JAKw/L0XlMhj+KC9xfqicbT8/E2WZj5sbFH7ANx1TFO0Ok5bXs c5efab0Co4JlvCr5fE3cqFI0JIhUvX8cBLHa92S4swc/+h4WLKilGV5NJhilaUdLw0S8MUjSreI4 2GHvozX+SRqsG8NQt9Kiv+aw32578RcfquTefgXvoQyweFQCAlacSKY5l17R2xhbs5sakVvxSiVB qzd/wjaYrC9yAQCaha86CQJJjjJc5tILIqXEbAzeXIC0prLlIGJhgnQ6svl4iu1Wc3evnyuZJtoP IqS9Ca7cOeqnDRZNi6t2R7yksXcXV/5dzPxDVMEOs+Pyd8KY1XkrinZluUDVJib3sEuuL8Mjs+Bd 18fw/jvo7R2gmM8RxLFUVFWvqQInS/pBe/FdGLhS/FnK5DV37gidsgqp1nnUbjFWph8Wa4bQMnY2 MeQNz0r0RFWiXfrxGB1ob8i874ph1XxUK5V4q/rb5bysDVdUynW10kjU87PyIl9JV0a9BL3+AFd1 jauzM+ySyyvPJRxMqgpDbra6MMGhFHPWWnP+MH4/4zfxsEwuzuBlKL9Gj0qFt1/ESC2R+0Sqy4vc Q1pNWoXe0kQpBQ7izHLykpPKRCfzmRcTsUvNGLlMj63lXKzr5n9kxwQZMsmwSk+IOUKrE0BeOtSn xxue9DFuCzyJxkhPc5wF38LjoI8mOYIbMM9BfNbNBatwQVZIY+Ax+rMkO7PWCSEKR7wPYjRcYf6k TBzfh/dD0gfW9aj8kEpKG4/evP96fskYl85zvcVYmfsmfHWG2M5ZMu6apHhHKtm1tq3msZSxYhpF 5XnpGZqNxFQS5VjTBqPVmMQr0/PTyHMZRgp77sqx2tMy19URBnLDY+tbrX7GjU2O4d8cHOBsdxdl mgoEwl+wmHMFnzlXnQsjRMgefzBYv8dh5yne5tiuh61uMFvMxUjRq7IBtcy3ve2QnAd1D8nFJSEw cw21xtlQumtVG1FI16oKC89HEkeSzzOLTkJRrdiiQgKVkFk3HsuvrdwIq4L0CMsWaZop1LYwTVLp WS0QXpdUN/sO6m/EmO5HyK8/kMKJCj1MOGPhjwytLulNCHpsFUe+bazM4jT0N7b3xdDNpBFUj6nK RwmyXSfeTSJbtbVosjlprrfCQ52q4P01XtPbGCuBEdBjXfH43G4O2Al+G7S6HgYaYyXPWzxgjci3 clZ2/qzzDBkG8no1z3qHa9Q5L/k8HR7WrTKoom+q398YWZPb489v5LeiSDBacvxgiIutLeTzuczn k63RjU33Dwbr9zjEAL1FSMiHSS+G6jm5lZsys2w9V/A2g4dzAfV6kRgsE86URYlBf9CxUsoOrUMJ syOzVULlcVqVR2yBrM2kQ4HHi4fGto6yVHARHU68KXdmDJkCsFItW0m7GCCvmvSUMUtwfBJhOBrh 9PSVysuIfdLqSEIap4UatNHk+Zi+NLt8b+OKDM2KGH4psJBLnfc7l7yWeE0GMCxVbKLAKQmnCLfM +xowJz0xoz5lGvd0X6/Fjnu7Z0WvclX3wO2MAYdci/aKjHExBo2FJ4W3YkFKGUu+VM5WGUpFMKj+ VoyjY4ml6HYmMw9suI/pVbSLAwqPGKpQs9TFLx0FGK9S7hWb/omg161E3f3UHS8CaQoDufZ79+/d mCN/MFi/13F7LyF3ay54Jp8FjqBZH1SeRU1WOU7oPd4eEmm8KpU38uVlV4FMmdyECWJEhIZJ8xHp ggcxcfSwalctSMV4oX7fH/SRDHpajUnlj4pc4b8U0Z3Jk91uwG77nblKXj8NFg3mbDpVSuNtI56g 8QRsybVuMYvrsaR0VvewXrl2XoNU23g9rHAx3NVwkKWxsDU2l0jxLjxkB6FsCirEpmfB+8BFScPe MTwQ7mHYP60Eu22sOs8Gy6qyKQIJCr3roTXno4ylhK4iaLJsUbMNm/HylrJ1q9guMVbaA+2odEw1 Us8/XpcxSMaAdvk6+1hhiCjk99zwmPQ34hN8f4MA4GCxazQcYX9vX5AA0s9ofvdWs/wP47cyFAJ7 mXNp9MNmqMed3RgpM0yiVx2rObx147bnvx0HPA0Vte5oqGzeeDPBNlVDlxgea2dvFWJe7ZRqYorO nMaoMycVhVHHCqBocVXOjbu3oOzFgClOJp1menMV00pq05hsjzixdwWKQCbb87NzJchpqYWbxWha VmxjtdJCY+VqbM9GNCHhSK5w6RWYgocO7XS7TJd700acQwRD794R4kYato8//hiF1kyoShV2ivEh Qr9uJDxXecNlyGcqghzd97acnRZXMa1WBslumEDs1EOXTDdwBsvTsz3PLsclhlE9IPN8pBqoc1P0 iky4J7oQ+rrlXDX8odsU6IHRoJLbSd9v/q3gtBzVq0gNwvfff1/mDzegOFJUTBx/MFi/x8EHSM/j ejK1JrrKg9jVw2WSU3XyqiqOmkjcqVReoZG2pdcNHm+8qnVKZhMGkA1yvSF7PYlrdl/ufgpaohZT 1TDnRNc+UFgmo6DjLFuSPU8Zm1CUm5dMAfx7u7dRHCGBT5jQVBk+nnUsOTclMmoWEL8nwJCyUSSG HI/H8mI4x2SccJnXakEoeMayQicGzOI2M6wFHCaEpICJuQcmb8XwhoUCGyiaZ3kXWm5tbWFnd0fO y3ieHO+8cx9PHj+RRSrFDVOk0KG0hMSlMjh0cngqDc/dXW+NWRoco3ClNjAjuKLFHCxAqymV27lF 87xVs7RRnVryvdkJ+pV2HyGD0AbRKh4ZBRxzLzkvVFiuNgPJbRmRY12RNMfJ30srEHOhZcdjZ677 Dwbr9zTMYuWuLSjhtd9ryJMMwfmYcMhAOLqFp5PCljG5bQhCX2OH1s/F7JSGJnd9GK/DyIZzItEY LHM6xgBY6P0Nfcm28Vu/FwaiQXkz3wskJFZUvmpSi1GsKmWsQoXXMslmu6XLGC6GFClVYLIM08lU DJnqpSP+Thsk3hNPt1RZaHV7kRgvhspGCs+lPMX6/2/vTJgbSY4snQBBkHVrukfqMdtR7///Ybta G5tRH9XFAwSItefuX8TLZILFq4ptJnibRBYBJDIiIzz8eP58ezOsbnsgPTtEfQrFFEDns/Xw7m0C H3GdJLIgNHfigYt2bxWDTJd1GBaRUUvog/QAQOkTIcAtE1iz10qsSgu3wLvDHLh+cwNnmruguP15 h/K2REZLFEXJkiUQOGDLhRwp1mIOxdKSG6hnpfeFSyjutSr7kSv4448/Dl8uL6LUax2WeoK146A8 uLqP8s1kumlbbGrknlnvQ1Dpc2j0Asb6wjz0nbJ8tOj9Le30XCyHs9PD7Kd8NwqLOFZTGFUYm51j 8i9PmY8Ijq920YI9lGvxkQGxUBBbTTsge5RkfKg6IZfIJV19WEW9p050dSkC4S2sGtkq3Kx8Dj1z F3NTAW7AmWRgr6NDsRTY+fDp44fYuFJOEXRWPd3bN6H4aaE3tVilJNX1WPfwyz9/SVdcmbh8IC2b GC5/tadbVEB8oN6z5qQpKoLnkFc6vCNh7O15N2vLsF2hZOijOYEutMxhWVZuLUXQv0IZYVmqCYUp snymBPO7C4tijM8v8xqqy/3rX/86/PDjD3HI6H+bZcawjgrrlcXTx3MQh4anaaC+wwqA2EmzbGZE gdeMWxnXemulNrRg9X3369/DAifjM3rvC7B8JUSj86RzD1kqtUrrzilnrLAX3ia/X1ldWZyebAXh fhdGiGwW40pYRbFyFgsnGy07ol/WAbAe/vLxw3B6ls1BdX3dV8uwltUBmNJFCk6bU6IOyG4pts1c WU+5xayNfeDGvM/lpAzHWBe4nrt1DoVw4kvPTuIuE9N0nNUIXnE7qc+tYH7+u6+TZpmZ5cr1W1Jh dxvUUh8/fYznG3GxiPHloaIYViQjnrmujvJE8UWEYFHlKfnwjs++KOesLKyrOVcw4hAnyQXu4ml2 vw4LUgtKm04blNIlVxROVfOtZURPrFiI2DwqYJ0xsU0CW9W4YZtjkoJenN11TbEeD4lwYr/9/jlw Y4mUXwzrVbaveqy8ffd2+Pchkdy//vJrun31HJpyKGslq4GH0UHXXLZoUDBGoLsbyLywLpqyqzhS ywwXot5dPNzL4NeyYmfCCCgrCd8NnQ2KF8U0stzKImYcSkzIncbNh09eMBuwY/rvqLBeSXrcxuq2 HtmWfqoQ/FREgDBk7Mrc0FqUWhixec1aiZKKik/h5vg9EkfSNWW2x30EYR6xkwycfguFNTc/WFVs zPhubTj1FFwmVkruHPce1zlNdP0djq6vzL+uJUWt+Jpoj2+qEmBddXSPFWVWs5/Afvjt9996MN0U cWfbXYziSE1ZVNwIiwmrya33Rsjn1pvc+Ohx14PvuMXuyrnybNcr62pcZ5pUM5nBzVioQ0E82eHZ YP388d9/jNgezTAYe8Qm1xkCiPl/9Awf5dniltVDlBSW13T7pzuH20HKX9cliLsYzs8VnB7zdHnc itiAvxaxg82mLSowMtPAK2DQZMwQnkatxJWNS76tJ83NPdi0OdF9EEtjgYeSUjb0LAPzGkso4avr fl/6inO5yg8kWyxJ/Fqyg3IZxcRiU508TUErSC8rQnP3P//9P83ScqsRa0iCEkBZNMUG+j3oVtM1 x4pGWU05r6ZcXCirBu2wDjyeeJmu4aYUy+Xjb5KecYx/tWwk1/zpp58ioyoBvuDr1asBjgrrlYTF OKusjEivn5iUkqTqwnjxBytebN9Y5+c99e8SwWdlvVbrUW9EXV/KB+vKT3Hf1MQc9FNxB/GRCVcl 7Nhqu8rN+y2ba9hw3OrLca/CalGQHTdQYwKvpkxh/E3c+xe3w+35bSi1hyqtOPFPVpG9UvA9riWl eXU9nA/rBolw12wck5o/nOQS/fQfPw1n52fDP/7PP5IiqSAubn3vG+NIZd/AmHl8yvoiEnDnZ7h2 AZfIuBiWFQF2Cd/FNSOmZ+U2QBr8vXRnjmdfbqGzRgS1ss0LSujfPv1bFDhrHTFH91nmR4X1CjK1 lnrwu7Y5XaX9jcXrlYtecYTKENoGAJF8ujoZPrwXc0Ihu03CElEB7ElCAPweiPdwakd5jLBCJ8mm MFIQu22zYBRg/fz5j+6OzpmDT50oU+7xexVmx7is7ZvuQ0pK9Y7ejEHK6vPnzxF0V0BXnwusVJ3m uDBOEvc1icPgbB0KWtg3fU5t8tR9SpUHGQfLUhjdl9zPh8yHPqeUvhSuIA//9f/+K+aYZ3FbBwgW DqDLkds1Ycx1hQSUoTV3sZrBNuWtEUt+lxSQXEE6xMcBVkoUl5F70nPR33DPm2VV3++f0Xz88MMP QR+DwsPaZXxzz+OosF5LnGcKripiRfF/j60NrJKb5XI4Pzsb3ih4uR+7ZmGF3GbN1jSwrEUCTinA i1WgiiILShLDG1Fqst9XYwTI2cv9eKqFRZYsFJ+yl1Wf1gL6tQFyCvf9/oZVw1pxHSGl9fqXiy9x v3I7VP3/+/B7uJFsQP0ueajSCitLsSzhsqqoWKJCbGiNtzuxvYpA8SZwZTpEHtKrXteStfX3n/8e WLJ//N9/xKGB3E4sKXfZ4j+YXcn0VUA+rq0sWymrnmXstYEt0L1TfC4PLZSlW0zEvlBWHjfVmEdd fZwWR0aeqIVOVAf6Yfj555/DYpNSjM+WJZzzezrLB3VUWK8hUXt18iwFlbGJqqaPVPxJYZeSAjgW kerh9F+V0USA/Wx9BxyKJQUmCa5uTlqsLAgTOSmz88pNLmzFXG7GnYSeKsKDacHqVE9cT9KrYBEA AWAetDmurq9GbJlS2ns1Jq02bl/+SGUskkGd7IBJqWV7zH17vAbyvgYLMKsXy1DKS5bX4vPl8P6j 0O73fxfwDaHklUlUXEslR5eXlw3mEQHyZlkFsU+OtfjJputJSYfTdZZRucvnpJUSFJPiaRIwaHFg UF9aVlyz9EpZtZIc5TsKN0byheSBrvOf/+s/Q2FpraKgPNPsz3cqR4X1ivLYjCC4nGwesIhNGc1C a8lmRnAVmwhmglA4N5uIVwUOCZPcrqv3EmQHsqAFLsxRyx5VCpvFKQWF5dWyZ0Ut8tz4lSslbXRt slb1LyqTSUBfSvt0qCxduaNBNgcpXf2nDf/h/fuwYDYVVwF39dBnkfGZLJ2SW6guSZRUKY4XyPOW 6RsrrisdCr+JgkVzJf4vexYtaJlKA2UgxL/a3+m5/fbb78Mff3wZNpvrPFwM0ImlBJMqPRlZM8JA 8YwjqVvI8giQl6If4azKqsXl9izlIUsv5l2ZRLOqWAsakw6hv//vn8Ny1AEqlzrokcKS7uy+cwwm uLxHhfUnl1BCAuTpf1aSk3VmdbJFkXRaUhQi6wFrUWi9yDUKgryZfoHgliSxmHdFGRMxnpvm3un0 XG47oZzHGshk5UWe5xKyuLUp4eAXGaEHkBFOZrlybDpHqaNEdQ3NhQqOfxNI8/Y2LCwUcKuRe0C2 lmJ04lRh/cU85KbS86KuT/egDKJogbIhb85pdDC63ljmrIM169cWy+R7T9fnw8dPJ8P5m3fDRh2k ri6Hiy8XUc8JA0OnfeaAS52dSkZrIv99WzV7Ev4W7mIpDJRX1nd2C6kVQhe1UBx+jqqH+I9uO5Uc imC8yPj+8pfwKtS8OZlsFbLYD0v19LyotV1F/nIT17frSGZE84ptAtGOCutPKlr4wjkp9hEFsg0U mIRwXggbC2hbsRyhhFc9eEnrsbnNSDYHayYsjpNlQ697sFcSBH21+KJUxTiz5EJwKlPE+mQZkb71 jRz3uqkNZNYLqPipskx3+STdy4rJgRujy0tamOkmJcdYSrdbmZn+9+BiXxqJXdvIMFn0pqaUFmW3 orS6VG4j2p3JV9R3GPHhxE09UZ1kJUDUbkzt5ZRAuLz4EuNqMb6it85rEFyvcdDZvA69dCPz+UqR n9AVZ2fxMYM+tLirg1SL9SG6gxcWi6YnkQz5+DGSISpZUmH3osa+CX55fW8PcTSldb0ZTtebAOqe bDbFRX+0sP6Uktml01b7J8E0D2tAAcmoHcut1IKgdG8x9Pt9qO2kP1ZLtN04HiTWzyqSjto+o7JB YEigkYHq++SG6eQXOvk5olNY9w35XcuQVRyLImeHDtCOynFG4V4ViR2bSptIfFRee6jSF1q+IU15 4N5YGUvQ5Nx29/gQGDgxbDlHshJk4cnaapRB5TbS8y96IFZbOrnjNFRpQf1ltqaDNkYJBLW2p1+n aHX0e+NLI1sLgLM1ZK2XrGFLKlziYOlG6rUsiB43WQ3ltGdddPppviNcT9VUvslSG3WG1vpIK7Nb qctpHW2NUzCZS8VNr4viZptYwFjPz1pZR3maWNPS9rCMBVQxjuQxGiuJ1TKtJ9g0ZVKHwlr1jifx wOszX1NWIMS9To3PkmbOhZ+b34OtzZWSFUYdI/Gir7BGfE0S1LjUUZ1KilS7Og1rDgrrg0xduuZa UQKiBqhn6Rrm/SorBo4pqwCgTu6PCI6yjFflv3tTDeeK6oqvZ9UckqHN9na1GjbrzfD7758DIR+b PVgZ0pLOWFQCWYkxad7DJRZ8oQqkT8u61b2cqUFpYcoUz/znP/8ZxdQ6NCIjXNk6rpOULR3PFYoc Ohlr1oFlFYopQKuwvla5TYxNxc4ZKNOzar1BlZ09fzO8ffeuESxy6Oo4yXWT1tv67LSoZtK6awey yAtrTZ2fJ6Pt+3cJVzkqrFcQP2VqdWaRa5zIGRuhnRYIZW1SxaLiI2HSqxWZ4bAqVgALAS7dnBBk d7fI4QpeFhHNNq2EYqoUsrnm7bA7udWFWzH1c6ufCZRrkUbmUy6EMGJGEezz6dLAkjUmBdkDK3V1 FQpLsZrYsFVzKHHX996qhEKH5369W4s4HGDVQHGpKbB+Yt22ZEUdFuDdwopS/K0qCDq+a9VwT1IG KBl9TgwQwqLJ0lJBtcYbB5vGKRf+NNeE3OdYA43po9xtuV08u4lLnpaQwMlpdVIuFBnvWr9SVFqn P/zwYwBBIXpMl11rMbO30cbt8irwZlj4imtp3cqziBZ+69Ph5mY3fPr0IW+oDoyjwvrOgmUVDxk3 TJaVTtpiAZWCgpWAwtQogq3Ou20TgH2akUOZL32fYlFyTxxFTUcTUNPNavGC2AJYZnwsq+jFHNnc Mi9yfaLG0ngDOzSR5uLVRsc11PfKDUo4R8XhKqYFxS+pc2WkQh94TM8U/Zz4vCCM0wGtEgCTU6qb 0TgKCyUFw8FA4N4/k9CRZXSXSbd7bM0dEt3r3/72t1BeAsz++uuvAd+QUmjKrhoNR3a1qHp2OzGe LobdCdZXWlCdjx60XdI/x7OK7kwZU5Oi/PjpU9Abay1LKQlmk7CH/B7ND66dDp9Y07ssHo/gu9zI guaktZkKrscejzGs7ysVM2jpaJnPikV8ECo9z47mZtiGzzhCBtHvEzZKoKsPLGwtlMBclbKKgHnR JqeSOm9lN1rYBNolckfb76JS2SWN83PcP5ckyVsPm9sxdYyEQK9cQm1w3ReLP7BahfrGknFsVc5t KgrNDfWFUb9X7aReYgwoNqoFWrrvZabnURKc9x8+hCKRopDVJavml19+SaqWOgAabIEyH+N7lzQ6 az3n6p6k99KCS9d/9/ZtvEcQD8j6YFltczFx1fnpVqlb8JH9Xa/jYFW5Epbn0cL6joKP36rUtbmC PfNrxHlfr7EiFkVs6dB7WtOAKoTVwtNCO2muxiYD3Td5LWdu8EC3FJU6M28+J71zKokx7OAxEvfU Nsvhcc5BEMIKqrhWd1VTdmY96Wdkxqrd/JTZYiydntkZFA4JCYtwuR6B6/qWchuJiszYSrmo7Efk eFg7skz1bFUdAMe8BMAnMTkdVAKxyrWOZIjVbcoSU5xJiQxcVkfmu+j6KLCwsBap3AWOlRW2F/No xdOwPPVT16YK4aiwvpP4YkD8oRySfK0Tss2JB4EPbUC9DlFcZPgieL8aFENV0FYZOVDGZABxcbz1 1fSaWkhhrcjCMSzRYyUW43KVpR0zc0aGbpZvfkK74hknKShiROu1FGsPAs9tLBRzummVXbxHUHo+ bn1ms+3X1kZvr5UV6OO7V+55y2LiknqyA4tlqcSJwU8YH0pVikzIf8n4QLppVo0Um7j+GzeXKejF Yt7qnx6w7X7qOUEhzT2J8vokyoOqY3TxrOl9mr9LUSZbK/ujfEMhfXyHlO8BMQm/his5TjmCx/cp K71Hp2hTegRNI+gDNCCtLzY9m9nvb2q5QZeMK8G1w4JZPK6jdVxjSI7v7Ol307JVYRlVfSE1hmTL wjpVB5eiOwa5TSwsiAUKWJmKPWmSsZooO5nObeP5MuYMhM94ZjaC5mq+cJ7P2OOBz5GIPVXLL4T7 bBnJA8oPZQp41llNHQzKZ71phSdtWrLhwFrNOKzRyZRbTp/B6IhTHFfOk89BiEXV3MHI3KbFLOtK f3///sPRwvpe0iAMj2xVz0OcZp98k3hfuEMLagT43GW2iAXBwm286BXYp+MwGalDSHA2eytxGaro uAOYpoOmeNJeTBBjWjVnccrqFTKOjFknvaxEwQBYwP26Pf6Xrl8qOO490+sd1R4KDbK6ApyiFKUk aEXf5toxWUW5wu/Qtmx2uTGjmJjawhkL6TGwjzlFtDAQJyK8F8/CP0uQfYoR4/O97KnHQPWZaB5b YM0gejRF4/cwsoIrcN5gE7uEZCjs4dnrqcgdJTkC9i+xZl3pN1zhg2btKM+SuYfLvwNLdWABp0UD Kd+YoljS2pNbU08XsDawMJCdAibgoEzPepH+BsvDvRyKjWGpeEPVKVQAFwLcztRdUBaMAC+AReAU 3ujTKUia8qnreTNPn0PGEve26fgpcFWlsYLpIOvihP2qa1as787BYaRycV9vUmHgznDf3072Eyxa J/zz5wKERcoHRc4Ych7zuaUXneEHFHJUD5SVNyL/KxzVnSSQdc7mUEiW27w39wrcboWWZn9a/RmV CQ7O/oSxKOyA9X9UWN9bYRlgNE+hjB2hRKbSKxbGaGOagmbZzrwi0Xuba2MFyll31mEIzSWSlUEB tSmx6UaYvU+lxvdjfm/ugZ/R2bjgGYHibhOU7+detMGSgjmzd4HEL2oSXBW5jsSm3KKJ+63UPCR3 8XrBArIDS/ZlzKauUnwn8RlcSp4HpU6eUfWCYWozEz9UGDklMsRIWoj4qCt8RmxvfrL3d+AUygLC qjF1HWMMxcThGdHWU7DhzE7uxLok15urRgoY768aTzKsiLuXY3hHBzRHFcSELw14xCiRolBDPKNM 6Hz5knxrR4X1CkprYZtVFtZldVq5Gy8ap305fbCcsKzudS8U71nl5k/sTxbCevwCVzAWaXWq8TKM r7kvGeTuzTQ9JsH3JAVN4syilq1KM7JNWXGLT2hOlrtqeFBKXKw2AAAgAElEQVT87DmcOuG3pUQK SMrn3O1pLJkVa5MohrVYCMGvguqM6wCNcJcG9LeDRNucROhvrDDIwEoIwgduyBD0fN4phoGruLXL e/19/H1nTR+a0rLsmwtKnAOI63GfbawRn+ox0MaRX3AHsrZ+aBLnahZ/9SnEzZ5mVpsFX641AOVw Gy0Wx7i4do8vaixHWMOrWlr5ILNyX9AC+t5JGvRhqQc/tq7iIZb5fZ8yCVzTWWZ6sv5unMljMbcu JQWfWEwaBrQM3QMUF5ZNNqLoi7Zvuu7SZtxt3Dm5zVM1ZlDwvsf5xu7O3Wvb2ya32l9PhenPIyy4 nXV3MSXhlmZ+epzl9ev788WFASuGSywgJM8tAZJj15LSF9qu4QI7S+hJJR64V6H3dShRwuRriEOO z03njdfV+5B7d6XJcN3aZuxu2aPk2zOs//WO5unCc3AomN7iahzMdZC3JiJFBikXG0vuaGF9Z2mL mtN2v4gsXzI19uYAUyQ1sYbYQOrSLLfjawokmlBkWUp+99g1YUP4AtZ9eCU+MSniCwe/q3GHx+gG wjdYcUAkGtUybaCM+4oYUFo8RVTXLBzde+eZd6pgEg8eU/EM1LhMSde4a9HAQ+Ub3GOFbXOh7OoQ Yd785+hwudmmtShldX6eafu6FopHkxGKqeAYYb0U+4S7cHtv4yYrpSAgPKsgbBxZX2nl8ZlR2GE/ BOlh3muoiZyTIuxTaQ3PIjKM210cflOXn+9qFjV0yKXMNqKHqWfPepBg8XsskmvFMy5k/ukys4y6 n2PQ/ZUklVIu3CwL2cTi2dYm00KOinc7feOB36bb9ZBOL7hpEb8oNoZexNuFxUJgnsLmxGgtIvbD Sfc1cToSsnvtXqZsBlUATMyqzQulKlEU2xWRAzJVX0fx9ty4M9M0hnhwD8qmXV+XArXeewHLmCh0 zwrCDUWwWWNstDzQ1BQglU0eikSddMoaClaFm5tmfSFZO7dO3i/xk+007k5HjXV2C4lhPbPk0+8W oSuRVGI2iKmSKdcMZlHdrywZ3EAPGcSztWx2MtVkDaObsigu7xYd1tIgNo9161506JnxPcAffB5l kcVcHVx9R/m2Uq3Gc/HpxOmxIy1sKZpoQFAZFDI2YQHdozx80xMvIcB8KEXeuvvW4udzkoZrugc2 gehzIqgLdPXkvbuZgmw4wgMrpO4+1YFYGwf3gX9LoJVRIkHXd0Am4yWWRA3gFFYQp7Q2aW2uVIx5 D94qLHo1Grrf40BsZNwbFGc8q8qIYfnRrSeYFqq0SfMp3nQnJJSCIkkCOSCxOSlo9T+UENfRa1K+ p6frKMHR98S8TGQKZXCrkHhTjLeyx3mA5n3rb8S79D5dH/YOradrkRDOZY/rsBo1ldDxIzrq607P 7Out3V95AjpcnTFEB+oxS/gnET81cWOChK8aLhCs1MPURsqNIzO7XwP8yijTUspBSiQtlJNZxYVy EIPl+ZvzxtpAp5SgZ1ncbRc2HkRPa8/F1m4aLcndsaeFkdgtKXGsS5HTUUIT16jNM70NNtl0TB5z cYkmG9E9aAwHc7dGMoqpTcRjPbzPLQiyidHJuCwvYBen56fD6mZSO1rxJ4L9Pj/hJsotu+3ua2aH 0xKXvH/3vm1sFC8A4D5vPUQAlZGloUcWMIqMg8wLl+WeSUnq7398+aMdonoNBgldE2sS649aTonW 2sXioiUL+iFL0H/XCu2596PC+hNILJxJ/V9kq6xzDCUpaR7nyYrlc7vv7l6cWC3t3heglFwHEM7d Qy+Y1oJGAcgSwQL5mgsa16lFO6copgFhMpBs/Nh4pTy06bRYVWMmCVqYEVfV+N4djMj3BvgwegYm CNI3oOJysXGKelniB0aL7RXNcouZUbo0UcjpQqVrx/cQt2HDeoxG98Prrlhxw2F8jXlRK7KqZFhN Yj0taSC4wPYmPqd589heKM31WdFOZ+F7f0apuMNai4Mmr90tx6wwUHGzqG6cQw0L8/ws6XLCKqJT UPFxYWH5muD+VdAMBU1kC2+2jUGEqhDKc/RdxPKOLuErSxRAn/VgKOniKf2uQwYIwEeX5eIPRzhZ cV2StK0HPefET1I2NzGj5Zte0Ps1QfF4RogFSrC5WSAogfq3gwpB5guz4yjty4vLhiHDbeEzMQ5j sIzvL7ckKJLFSV/gRzbvWcXH9Htzd4ygEIWia4i7Sa55C+zDlV6UNtmHsLNZECPyxAnzCg9WFACX EuI+RuMpuIUypbxnC3+/uVR6TZs/GE0ro0ZpTDxPO3BQdBov7wOFzjPzEIE0kcblncCjGsIaZTjU IlkcPjWlnZCFBK1O12A7XKS01kXHXR4A5Ui6tmhysAyPCuuVRRtQFhMCMds0YE35REe694zVHcul hGD7QzCLuu5cX75DFtNUuBfiTCg5ua4S4Z48SK6N4tggl+CirzT94raUaXVBRql4fInN5gj4OJG1 uQTeFMe4Ns3tTVibWvzdyhkT/UlQmGxakgD6PFxSzBkASncP5+aK+Y34XpHhhesseuuaK3cz/Vpa I+7WDVWGRMZ1ShGjOYg46GoViixds1SGWD2imtFhCVCWkIFDZ+Jg2IvWOZUVQX6UNQoYpdWsQsOE pTfwZmRtZj/Lu7E1LDy3PBnnUWH9CQRubj/9vCaO/7XTuhZJPtAHoM8fAa6eulaPkXaPnqVrxbk9 WOxZJ97j2cxpgN2DwmQs3fLxefLrO5g2Ou/Qxabc5m4FdcI/FC2bsLkqBWx0ReXzLkXmbd9RdLwH qIH+axCRnKkW6Kfn35Re2i0t4keScNOtH2AooKvLzMTdpIUb7yslArJfDR24fuKfUkSap/uJ5hGy RCvDGrGweg/1hQ0wWrWYnqzheXLfPQGSc8hz0v3IahsMq+XuIsK1PC56tLBeUfL06I8A/E3fhFXv 5q3E2ZxCFR/I/L2WpBvWO0Sncs3XWqFxCRs7SjJq87q0zW0bDIuMz/cAd3cNHTNFpyGsCiwHXL5Q qAWUnSrrbiF2JtB2gLTrd+hBd8Gr1ZW1jgezlaVCY6rpuO/J88VKGbnY1u/vtrBSHhdU3Ecc6kPA +ToDLNfEwiOA7png4GRvlu5E6ZayDKVfcbrArO0LbMwY6vu8YiPc9iqg9uJpEj/6n6w2YoLEYB3c rGs4fuyosF5JYpNU3R6ihfT+7fv2OoWoHgNpG7ishT+LQJ3rFMauVKZdoZtStuyhKxx3fbxYm20+ ta6ybrdIAItiOuN9yRXOe2n4GYrK7s/xUdqc22Xiw/Q77ivXaZtbbs72JjJ+FBZPLawOLTm5Y0m3 ygJrUMo4Ja2WchKr22cmJoT7h1hv5FqmCTkC7TJvCno32IEsoQCh9lgmbh1j4R6JwTmDw5y0tWr1 n/zNaW6iTGup51CuoPUTwH0UdKNlGl9grR7lCZJ9BftJizURC6667FK464uAEz8ZHObT7XH9V2C8 dAtm+v202fL3xkktGLu/ryzKqYuAJdNQCHJHjJ1ymolio/mcgS1SfIx5Yt7j9+imXPe2M1cl3NZx CVHWz3X2DAdcjnByBqBNRcyA5st8PBDth9kIxHmb9wzPFe8XDES9/6gSIJguK1ZCHEyfUxIhuaoS OsLh6Basf2+4oSfd7Wtg2zacsZU85+b582EsF1cXw2q3aq65u/zsB5+/o8J6DYkHkg1S75jTpcz4 +yE+pamyisPUNt9cTOBbC3EwLIOnuKv6jDJYBNJDGVx3xc0mlkUQgXnjv+rWVlda2gBiy9ScKgbj 4FWPSXn8C2uoMRIopb8tN3KVQWr1ARRFdFM09Txa89Q7k9M37Ept2XALDV3v7u99B85iCsqlTEmM GRVAz3hU/l1jJ2BOdlVB7Fx3vUibqgONBRApCqQHzLNQfq4o3v/tmVY+N1Ve/NScYrXq2eu7pFBz jvQ8ev3pUWG9gqSZLLdlfCIJ0wKTQjao/PqGx4poymFU30Yc7DtIWQyHNtpjLD6sKe+grGyh11fO fVfboME6cRI4Kzap/gZsIIuz6cCcZH1QpnjZE3Gu4B6/LdbM26RODrDkJrN3EXSvtlexQQ+wrUbT i6Krmbr5/rvHoDxmtrd4VRxQlHZtbmKOpJTEJyZlRIfs7hpncH9UfBy9Dld3XfGq81yuxLl+PSwX mUH1rK7HpIinubSkQ2VY+e65jDNji2bARn0D8j9puI98WK8kAsGthvPzbPOENNej3Ir06b9ypTr5 NtW5Jko1sB4aFOLrJTUvJT1REP+689rX7oOSDCkMQI+StlmNPYKN4u4FuC/mchQsr/hMaw6rv7P5 qvRImcDsHZg89Rnc1ns66V9ihVRbmF2U4+Svphz6LB2zm6Vb2b+maFWDeNMzjlNYh7uwiXkaF19L iJ+NYl3Lbmnq9fPzN8N6nUrYcVZcW8pNcIVzIzjUPQVSXYri+iqUq8b17l0yTOi6sCwQV2QNUkTP HPnBw/di4XoQvYGGFa88Hc8ba6aVWR0trO8r+aB1WmXA0yWDnRl0fChTpU7TX3//I0pvpCjevX0T qOSOnE9GU1ly30NpaXw6Cdkcufjcerhb28ZrkmRk6Mj2sHAKrBn1fsuKy1RTUQElM9OXix5eJY1V FgFz7PEYguseiD857TAM4ZeC0/3yqnXiUQrelWJcU12oRfK321WDBrU8uxmuZZE4fKP4rgI2ES3d PmSJ1HauCDj+v/2eh80wvGvwlmEUc2NM42sk04V+frm4iKSBXGddVsrGedb1U3MNzklurv7HOHUN leB41s9rKpnvKdiYw8ZhFzpMpQxFNDgl/Ytrim1Wh28F++F7Q5j3o0v4HUVKRf3/HCgq4RQRhubj 8uNws7tLxjaV2NjVLTdP5f3w5SLpQt7L/2/EbGLn1KL9Pq2ntBmjzi3iON1N1aZJS6H6MnrAud7j GTEWPIjwYKqkjGiVJ74yebmQx3GYgDIEVqiQ7jPsFhRYgzmKFu3RFqsTJEphIWQJ2axs3l7ylCl6 j91IIhZ2s40aTb12cXmZVoWsjVNatfcYGm5tIOurNnDKXLCwOJeUNiyyvK65jz6TGn9xvev9ApFK ael+FJz3rGeATN+9i3nJkhgpkm5FMV9YUhRb6zkGyr7KiejMhCXrriHxRs+aYiU3C0rVG0Vnvb3u xIitCP0brt2jmKSZnsqqZwbha89iVOIt9/XlQxRHuYyGqN06oWv04s6J2yv/v5nScneN1Ht7rbtw sYAX852h3YVD+eBOJGUJbmdHZGPFuaLx0pxM2adic/Al9ZmFnggskr+OxUYg3gP5rrhcmbEp7yQc gG04AeHcFNZ46NqT+K50NUcsF/uuDOl+RJCcqoBLxX7UR7AwYsynLCkddFJ0UmbU8cmyJOaVFlKn T9Z7I1lRlroXVatNWCjTmxw/5T60EvPMo+PTHCrCd+M+631S/l4NofdIjgrru8g+MFdZpmBYnIYO T4tJesrZFV1Ucxenn4KPygZFfVYV0KrT7vnZ8ObNeXQomSql2GS7bVAzfzOFVXiDtk9nGBXaJq76 uzuXsPQ1FlGrmRPUwdPoptx8A0fgtjrwhNUi6pq6ljaqLJ25OfCYCW6K38/UlcUqQEmA1M97L+qK SvWTbbuvQxJj0ftksXhvRACwi5kOStwjlhGbPZRBWTISL52RFZPsH6loGDOZQO9JyftRxtQ88j7u JQrlKz4GMR9uIp8hAE+cjznk+xynNoWpHF3C7yhaYypwnvK26++O7VEwXm5hLKgifcM6ub65Gb5c KL6SQd4s48jrKO6lRSr63dnNqLq1xt/OhnpZudvidCzElnDfDkvv9IKyauj0IU9wjVU/Kbrl1I95 LGZUrCVPpwcJXFlpsbmUedyoRrGsKIt3oWgcWNqyjHQIqvvSJozSnSpK3m6rYYMVlRNbEhc81sm0 gLllywwOoJgggM6tWY8AQ1GGWKKSztmVlNRyD6+urkcBd81FrLVak15VQLs2WD+ZP+6ZvpAE63U9 eMoaHZKBnJvSCR79cfkRa8dLrVqBuSnm1m36qQv0KA+TNLPHJ3b+PTeno9mDDoXOx1MAaLUEc3R7 xHhUtFtxsfusp17zpU1C+6WXlfv0UNuU+Y973tctDUdts5HCxYHN07JSzYqZKDBXaiiDloGrLjrq tirLDOs3YmCGMndLq42lmmPkmAwRXujtdHGMhTOI+zq3u3O9853cq9cyOi7s1ppYUAUgaQ1krcQG Omzdi9aflw0BoOW9qlBAMfC3cMeuexbW2TS8sxK1n70z0pg3nrHF8xRx4iKTKk1p7XsZlh8Q07XT KG0esyCP8njRqXqmoK9OLCkcShICizNkSyoh2o2zPXA1WmAG/ozON6tVpKLz36vhbbmA6T58HSTq i14GQMIoXlCsBmwuaeDNSO8TYiGuKBrlcBU03+6zxg6XQ3OrmAzWRSusNqWPa+EB+GZVqLnsgeJv FJxnvYi5UM/n7plbK1gONT2j75z7Hp+/4IWaYLUWfE/RG4erbzgrlG1agUXAWEkPWVTN2ivljqtI MbN/d0AfKgMY45aSXnRwrSuXZgEZc8XsPFYH7jbOgnxE9cGwj/WtQ2StGFa5nN5P8aiwvpEkN5P8 /0wZO6FelGuoT15tYDqE6GdwN1UANxSMbbS3bxV/SR/vzVnGrKQQHyNxwlJk+sJBeILivrnGc7KI BT91Hn0Dzy12lBInOHTNERyuLJ8DF/173dUAQDq9p/RU77oq9qbepHXGepiOd6TQaLpaRI1AE7C6 vHN2YrzSWmrWjs3RPmAvY1aKSCacVYmOXLWgTU64Qt5WKreoqth0N5VawMZppQYcFXPD8lS9Ia5o uODbbKg6pfghUI9C2m46/5r/lHKVJHV1NqqI4udRvFIdvq+Gk9Ufw4f374e1wiSVgZQcFdYLi1wt mCGD2XJ92qwg3IXclL3OjQAmFCeAEcdI4uXwVtiius5zYApSnjtrCvpyMmbhbB1msChLQbNhPdYB uR5xIayFOWtthHhvNYZ9IzJnDhXge9hYfJ7W8mRop/CHLLjOfo371YGC80iYjNt8MRvxN/BePNsZ aQdZjach/a35xm0jP8y5ZO0wVhS5LKv2tzigdsN+mw1eFVbAMlVHGuYkLHjBOBb9+lJ6dKuJ79EB bBaqVxswp+7WYUnFoVqsHCQFmCOFMsJijuvXgSEM2ZeL2APv37+L145ZwhcUFqbcMnU/kZLixHTq kbSa9O4eT5J4fzpYKH0RYKKHe1mkbc+6XzbW8LKCooixbZPJAItBm0KlR9GMAGDhMmvepGQaGd0+ rQ4yXrg/EuJFMFUo3c7pLzc6rIjgDeuWgvBV2qR8J6ylbC6nhZlaSv4e3RdtwNo82oYVet0D4qFM Jw0asKZA0Xt3mv5M9jGu+oIRxfLWrDGfb5IB3iZN1/f36XcpH1kvWDWjAuVqhLvflbVVa09KSxTL Xy6+jOowE76S85XlTUV5VE02fI6l7FWPmQDRXSY/lstwUfXcAgqhOGxVZXSA7zYSTare4HuPFtaL 0MQoS7fOmFK1T3dgoWdwYmGpV11xHLFRI3N0hcuikzUfjcdHdBJ5YPip8k0YtOTyiNZWGxuckmhe jO9LLoZbRaHAt2kFeVYPaEdjHZ0ZK0FYNiOBYDYVC1zzKAAkcbHgRy+aZQkbDJBoKqfqTG3ARnWa zsD8vEWKRTgFS7rS0JqAKYFnqrHK1QqXVoZI8YnRuMIpYZZ16LkbNZWWeDhNd82/X88FVlUpCn0n oFqtP7E9SOnDeBsAUgXRT4UhPG/WK4eoW1JAH7hffU51iOqsc3l12Q4lzbPiVJoDjTUon2VBXSQW Kxpc/O19KNbbsBQ797/kqLCeI0I3n58NH94nshwBX0LLJnBT0QRAp2c1yMSaSDcpG1VKKWmDETid BnAFgpQ8C7n+jShoSP3jYrGBR7Vwxc/k/FES/WQzhaIaFrHQcZUP3Svc5UFhLCtrJtg+Gnqr1Sy3 dELxQmZSQoOGuQTCU6Vl1opwg/GPGnhguRlsYZplXowoa7p77PGtaSJAFs2HDx+HX375pUERWgZT z2LZY2t6ZlBmq65QCkZNKbQ+CezzvAKZLg6xYnvgAKJBcGbKV3l4LebXrscHcx2lhS1XUHuM9x8V 1nNEmJbgV+rc4rgoPFQ/eYlReSkCi0kP5vPnP1rHXcz7eJjR7CA3DaURMpd50AALHyoeY3lRqQ4/ EQivdDUbSMrkcnE54nnS+Kht0yZWWQcKTqUjuI+Me26MYaEoJrM6Gd6u30ScSN9PQbBeZ0N7gS5x s0Otx4aynK+i4Wpm6x4zYXMxMRSJNjpASt0fv0+zvSjVaMYhxoNdPnNX9rHeVqcNDqP145+nUw4W /3p9HbWPjMUVTAbbM8DtHcM1b1qf2eXmdri+ElJezS16sbaUG2u64dPEBLs3RV1YMH0mm31Vxx9r UBHW8qJ3zJF4j4OjwnqGxEJu5SK9CQJBTXcJQfI6vxALxE8zb2aJgsPSihR0MREIZMpiUb3g46yl gqW/sBAI9g7Jm4WaGFxnIbFciuV+5IYwP7RqV30dvfVQMs6YOR2n4itpmWb7Ld3F5uY6rAkp8k1t 9tiIp70wl2cGhW88jxlsWriIVeQ8l2VEiD2yybyztGRh3ZGaJVUHmZ69FISSM7Jg4t5PRGl8HhZ1 Kt1uAXoMSq+FcrkugGWFG1BgsCPQ4w9Lljnmda43Z9Fyn17TKRZQLSNAvopLTWNmKCH2BFadlJ/e 32JcxkjaMpCFT9Q4CLjHeJ64No8SD60DG10ZoZxQQCgfzzB5GQMnbFTMW+yrP/wM1Dv5GgteG+mx EovfMFMvJbGhFMvYV6Jhl7EhKbDgU9Jm1InORq7OMTFOzaG5c7iNNN7EdQ5OKcNLxelcipK56+Uo lSlbZ7Cek7qVqOjnKst+dJ9zyghFuAiQaJb9uGSav4MycbNwf5HA2tXBI0sDdzdYTgGOVj1kPHuF tGz96ArLZa/jmyZmmgI8zXvMaolel+dusq+9EU6Mg/SAKckB6+BWwhsE/hHQ8uGCb9LSbT0Ry5Un ORBudzG26r6BaqBEvWznqLCeKJr0t2/ehEuI9ePpaG+zzQMJqpTKwLRYQ/GPt1qrCX93NASNAHxP m+sUDdSwMV0+6t4t+/iSpToehxkFxM3yiHbuKl4WDKBwPwlkTaS/pG2iKrdsKO3KQrmlQxMLx/K0 zJeBPh0x7s0lwi086WwCU3FXRQeUMn+j1w0+gLI8dJ105VKZrLa5MXeLolcGp2RF5JoTja6PZRk/ 72TrnHjPYlg+F+C41ufrCHA78wPSSn+qrVgcpsUGgXuP+447r/lnbNxHwHTUo7FofzzWGOMCilLd lqKekTVYrBsUfGt/XZXbH689Z4H+q4qesSYyquGL3tUXByeOu4ZYAh5oDqZLw0K1zFlhkhLM2DNi bAw6AZM6ni7ah41Bn9NXKKisxfMyc8NJyT0BQWCOYtzagNV0wK1OLNVWj8Z/NnauBdtCfMaaeTAf KKS5OcHFcQzTfZLv0XWmHZ+TKPEQtmoqukYyEFQQ2thAGQ9YNI0pOKuKBrpfY9nLlsJ66WPyjPLo PmueFWsNa62sojvPzrKbMIRGLGnVD1pZPlIuwCaoOWwWkOJychNvNg32gLdBQmNbhxD321xCK3GC YkaQCFzXuP6DZvoouSiK70lFxsH7VKhjideBsajcNYTe4w4LZexc69lXOKLY6K05QnZIbtiifTJC BoI+3ISnKazQG6VQHlLac+/1ylrS4nZgqMYSrkf8nu3jM0mg8Ra1clk6GVTeF41JwiR88+X81JyI BRR4QiTUOvCy+2K9ZMULqnFNkgNrPyxv64CYzE//zspilVuHtKBzgTF5/51gfo0zN11Hh7sVxPfT EYf1EC7wLl3YvUExUiH3sqVWZ6ixlkUPmDVqL7UO1b/Q+LXuronq4xjXy3lrh425rgB0FZsM/vdC 10d8UMqnkk9+EPj3RTDe/o5riXWZB4nm9HYYTjt3WeyjJ6/QfzGJ8/VkGYXGgjGgoDj5HTSJpUQW p3FZs4q79VvFvsbPbayO8TBjoWVvO/9O4lm5CQRCfJ5r+BIS5Su33VVhwRLEjTH5d/O5wu0kKFSx pbxGxDkq+Brvjo2ffO35a6X+oW1RYC6u13mbHBaC1dWVTrmhFTzmviV8LhhDl50SJYvHp4ypWRea igtLe2zlQKqHOzvl2nIFGYyxlhhIaEzv14f1rU4+SlLkHNdWlvXCfJUSzIOkCPAO8KpLBKfRcoow RIFvdSiGgjubxMqKnTVojwuDpX93VpAxb72EjK83DeEQ5/1kcntFSPGN0RfxiWvzX0riQReKXWY1 2QxOIAcIBgiwXBpiUyzg5UnxJBUfFA/JA7U6DR0oSPwr0tu12FlE1BxCqPVYK0vS4hvP5MqigHuu zZe7YE050uaqTUmP26CEQGDH26UASnnlvAjKUMmJXcfx+LxJHER6aPwSkOetyLqwcyDAJQpenzTm 1ClNcTaz2NKGvdURjguWw+IreIIna5xtQRY1zSEitCCaF70+ZPG3Py8yfFIUQpMri8f9UjiNpc5a c1YLzFwPysfa3Rc0Z52JAcpp8tDpRd/6vsgcln5UVjPmhmYg9n3QMmcX6svWpswVN/fZGoUUs8TR JXygaA5hRogTsjAtZF5Iy7eNv1D8RDGI7hqSJXQ3iQfTNnxzdcZI4pY1siwUC4uNMyoHeaLSadis J36eWIZbnX0O0y2kuwwuEgtf34hlwmb0Di8cCoyZOX1TShvskC96xuQB/zkhAK/nuvfTXxtyu4+s G98NMjygFhUgR8IdOl1HfZ7XxaW726lbpGiJy0TypDopo0y0UYUE19gIWGeRd2ZcZT3CSU+YAW4w sX9eXF60OWftYInrb3Sh+fz754hHcSDG/JWLHeVUEfLIeQPxjiXa1uE+lTgW/8dPH8PazO/shzH3 RyBf1uDt7UV2+WEs6nhezVoT3tKbVVANon/8f1W2jJuKk18AAAABSURBVGRi59ipAAAAAElFTkSu QmCC