20241106 09525800 1.0 FALSE cdv_usuev250sVII_cnal_INEGI 002 file://\\410-M-D3-73QJX\Nueva_base\Paquetes\0\commondata\base_nueva.gdb Local Area Network Projected GCS_Mexico_ITRF2008 Linear Unit: Meter (1.000000) Mexico_ITRF2008_LCC <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><WKT>PROJCS[&quot;Mexico_ITRF2008_LCC&quot;,GEOGCS[&quot;GCS_Mexico_ITRF2008&quot;,DATUM[&quot;D_Mexico_ITRF2008&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;,2500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-102.0],PARAMETER[&quot;Standard_Parallel_1&quot;,17.5],PARAMETER[&quot;Standard_Parallel_2&quot;,29.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,12.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,6372]]</WKT><XOrigin>-37031600</XOrigin><YOrigin>-25743800</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>6372</WKID><LatestWKID>6372</LatestWKID></ProjectedCoordinateSystem> FeatureClassToFeatureClass "D:\INEGI\889463842781_s (6)\conjunto_de_datos\cdv_usuev250sVII_cnal.shp" D:\INEGI\INEGI\INEGI.gdb cdv_usuev250sVII_cnal_INEGI # "CLAVE "CLAVE" true true false 10 Text 0 0,First,#,D:\INEGI\889463842781_s (6)\conjunto_de_datos\cdv_usuev250sVII_cnal.shp,CLAVE,0,10;DESCRIPCIO "DESCRIPCIO" true true false 70 Text 0 0,First,#,D:\INEGI\889463842781_s (6)\conjunto_de_datos\cdv_usuev250sVII_cnal.shp,DESCRIPCIO,0,70" # CopyMultiple "D:\INEGI\INEGI\INEGI.gdb\cdv_usuev250sVII_cnal_INEGI FeatureClass" D:\INEGI\INEGI\VEGETACION_SERIES_EQU_ALB.gdb cdv_usuev250sVII_cnal_INEGI "cdv_usuev250sVII_cnal_INEGI FeatureClass cdv_usuev250sVII_cnal_INEGI #" UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/2.9.0'><WorkspaceConnectionString>DATABASE=D:\INEGI\INEGI\VEGETACION_SERIES_EQU_ALB.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>cdv_usuev250sVII_cnal_INEGI</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>FORM_INEGI</field_name><field_type>TEXT</field_type><field_length>100</field_length><field_alias>FORM_INEGI</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField cdv_usuev250sVII_cnal_INEGI FORM_INEGI "BOSQUE DE AYARÍN" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_INEGI "BOSQUE DE ENCINO" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_INEGI "BOSQUE MESÓFILO DE MONTAÑA" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_INEGI "SELVA PERENNIFOLIA" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_INEGI "SELVA SUBCADUCIFOLIA" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_INEGI "SELVA CADUCIFOLIA" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_INEGI "SELVA ESPINOSA" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_INEGI "PASTIZAL" "Python 3" # Text NO_ENFORCE_DOMAINS UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/2.9.0'><WorkspaceConnectionString>DATABASE=D:\INEGI\INEGI\VEGETACION_SERIES_EQU_ALB.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>cdv_usuev250sVII_cnal_INEGI</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>TIP_VEG</field_name><field_type>TEXT</field_type><field_length>100</field_length><field_alias>TIP_VEG</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField cdv_usuev250sVII_cnal_INEGI FORM_INEGI "BOSQUE DE AYARÍN" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_INEGI "BOSQUE DE ENCINO" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_INEGI "BOSQUE MESÓFILO DE MONTAÑA" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_INEGI "SELVA PERENNIFOLIA" "Python 3" # Text NO_ENFORCE_DOMAINS UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/2.9.0'><WorkspaceConnectionString>DATABASE=D:\INEGI\INEGI\VEGETACION_SERIES_EQU_ALB.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>cdv_usuev250sVII_cnal_INEGI</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>FORM_VEG_INEGI</field_name><field_type>TEXT</field_type><field_length>100</field_length><field_alias>FORM_VEG_INEGI</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField cdv_usuev250sVII_cnal_INEGI FORM_VEG_INEGI "BOSQUE DE CONÍFERAS" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_VEG_INEGI "BOSQUE DE ENCINO" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_VEG_INEGI "SELVA PERENNIFOLIA" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_VEG_INEGI "SELVA SUBCADUCIFOLIA" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_VEG_INEGI "SELVA CADUCIFOLIA" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_VEG_INEGI "SELVA ESPINOSA" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_VEG_INEGI "PASTIZAL" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_VEG_INEGI "MATORRAL XERÓFILO" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_VEG_INEGI "VEGETACIÓN HIDRÓFILA" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_VEG_INEGI "OTROS TIPOS" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_VEG_INEGI "VEGETACIÓN INDUCIDA" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_VEG_INEGI "BOSQUE MESÓFILO DE MONTAÑA" "Python 3" # Text NO_ENFORCE_DOMAINS DeleteField cdv_usuev250sVII_cnal_INEGI FORM_INEGI "Delete Fields" UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.0.0'><WorkspaceConnectionString>DATABASE=D:\Usuarios\edgar.mejia\Documents\ArcGIS\Projects\Revision_Series_vegetacion\Serie_7_y_5\VEGETACION_SERIES_EQU_ALB_1.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>cdv_usuev250sVII_cnal_INEGI</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>DES_VEG</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>FASE_VS</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Priamrio" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Priamrio" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Secundaria" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Arbórea" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Secundaria" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Arbustiva" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Secundaria" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Herbácea" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Primaria" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Secundaria" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Arbórea" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Secundaria" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Arbustiva" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Secundaria" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Herbácea" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Primaria" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Primaria" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Secundaria" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Arbórea" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Arbustiva" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Herbácea" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Primaria" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Secundaria" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Arbórea" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Arbustiva" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Herbácea" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Primaria" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField "Serie VII completa" DES_VEG "Secundaria" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Arbórea" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Arbustiva" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Herbácea" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Primaria" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "No aplica" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "Primaria" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "No aplica" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "No aplica" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI DES_VEG "No aplica" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_VEG_INEGI "MATORRAL XERÓFILO" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Arbustiva" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Arbórea" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FASE_VS "Herbácea" "Python 3" # Texto NO_ENFORCE_DOMAINS CalculateField cdv_usuev250sVII_cnal_INEGI FORM_VEG_INEGI "MATORRAL XERÓFILO" "Python 3" # Texto NO_ENFORCE_DOMAINS CopyMultiple "D:\Usuarios\edgar.mejia\Documents\ArcGIS\Projects\Revision_Series_vegetacion\Serie_7_y_5\VEGETACION_SERIES_EQU_ALB_1.gdb\cdv_usuev250sVII_cnal_INEGI FeatureClass" D:\Usuarios\edgar.mejia\Documents\ArcGIS\Projects\Revision_Series_vegetacion\Serie_VII.gdb cdv_usuev250sVII_cnal_INEGI "cdv_usuev250sVII_cnal_INEGI FeatureClass cdv_usuev250sVII_cnal_INEGI #" FeatureClassToFeatureClass cdv_usuev250sVII_cnal_INEGI D:\ATLAS_ARA\ATLAS_ARA\Default.gdb cdv_usuev250sVII_cnal_INEGI # "CLAVE "CLAVE" true true false 10 Text 0 0,First,#,cdv_usuev250sVII_cnal_INEGI,CLAVE,0,10;DESCRIPCIO "DESCRIPCIO" true true false 70 Text 0 0,First,#,cdv_usuev250sVII_cnal_INEGI,DESCRIPCIO,0,70;TIP_VEG "TIP_VEG" true true false 100 Text 0 0,First,#,cdv_usuev250sVII_cnal_INEGI,TIP_VEG,0,100;FORM_VEG_INEGI "FORM_VEG_INEGI" true true false 100 Text 0 0,First,#,cdv_usuev250sVII_cnal_INEGI,FORM_VEG_INEGI,0,100;DES_VEG "DES_VEG" true true false 255 Text 0 0,First,#,cdv_usuev250sVII_cnal_INEGI,DES_VEG,0,255;FASE_VS "FASE_VS" true true false 255 Text 0 0,First,#,cdv_usuev250sVII_cnal_INEGI,FASE_VS,0,255;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,cdv_usuev250sVII_cnal_INEGI,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,cdv_usuev250sVII_cnal_INEGI,Shape_Area,-1,-1" # CalculateField "Vegetación actual" FORM_VEG_INEGI "Acuícola" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Vegetación actual" FORM_VEG_INEGI "Agricultura de humedad" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Vegetación actual" FORM_VEG_INEGI "Agricultura de riego" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Vegetación actual" FORM_VEG_INEGI "Agricultura de temporal" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Vegetación actual" FORM_VEG_INEGI "Bosque cultivado" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateField "Vegetación actual" FORM_VEG_INEGI "Pastizal inducido y cultivado" "Python 3" # Text NO_ENFORCE_DOMAINS CopyMultiple "D:\ATLAS_ARA\ATLAS_ARA\Default.gdb\cdv_usuev250sVII_cnal_INEGI FeatureClass" "G:\VEGETACION\New File Geodatabase.gdb" cdv_usuev250sVII_cnal_INEGI "cdv_usuev250sVII_cnal_INEGI FeatureClass cdv_usuev250sVII_cnal_INEGI #" CopyMultiple "'D:\Usuarios\edgar.mejia\Documents\ArcGIS\Projects\SIATSA\VEGETACION\New File Geodatabase.gdb\cdv_usuev250sVII_cnal_INEGI' FeatureClass" D:\Usuarios\edgar.mejia\Documents\ArcGIS\Projects\SIATSA\AMBIENTAL.gdb cdv_usuev250sVII_cnal_INEGI "cdv_usuev250sVII_cnal_INEGI FeatureClass cdv_usuev250sVII_cnal_INEGI #" Rename D:\Usuarios\edgar.mejia\Documents\ArcGIS\Projects\SIATSA\AMBIENTAL.gdb\cdv_usuev250sVII_cnal_INEGI D:\Usuarios\edgar.mejia\Documents\ArcGIS\Projects\SIATSA\AMBIENTAL.gdb\Ecosistema_y_biodiversidad_Vegetacion_natural_cdv_usuev250sVII_cnal_INEGI FeatureClass ExportFeatures D:\Usuarios\ana.resendiz\Documents\ArcGIS\Packages\Ambiental_SIATSA_0e9865\p30\ambiental.gdb\Ecosistema_y_biodiversidad_Vegetacion_natural_cdv_usuev250sVII_cnal_INEGI D:\SIATSA\SIATSA.gdb\AMBIENTAL\cdv_usuev250sVII_cnal_INEGI # NOT_USE_ALIAS "CLAVE "CLAVE" true true false 10 Text 0 0,First,#,D:\Usuarios\ana.resendiz\Documents\ArcGIS\Packages\Ambiental_SIATSA_0e9865\p30\ambiental.gdb\Ecosistema_y_biodiversidad_Vegetacion_natural_cdv_usuev250sVII_cnal_INEGI,CLAVE,0,10;DESCRIPCIO "DESCRIPCIO" true true false 70 Text 0 0,First,#,D:\Usuarios\ana.resendiz\Documents\ArcGIS\Packages\Ambiental_SIATSA_0e9865\p30\ambiental.gdb\Ecosistema_y_biodiversidad_Vegetacion_natural_cdv_usuev250sVII_cnal_INEGI,DESCRIPCIO,0,70;TIP_VEG "TIP_VEG" true true false 100 Text 0 0,First,#,D:\Usuarios\ana.resendiz\Documents\ArcGIS\Packages\Ambiental_SIATSA_0e9865\p30\ambiental.gdb\Ecosistema_y_biodiversidad_Vegetacion_natural_cdv_usuev250sVII_cnal_INEGI,TIP_VEG,0,100;FORM_VEG_INEGI "FORM_VEG_INEGI" true true false 100 Text 0 0,First,#,D:\Usuarios\ana.resendiz\Documents\ArcGIS\Packages\Ambiental_SIATSA_0e9865\p30\ambiental.gdb\Ecosistema_y_biodiversidad_Vegetacion_natural_cdv_usuev250sVII_cnal_INEGI,FORM_VEG_INEGI,0,100;DES_VEG "DES_VEG" true true false 255 Text 0 0,First,#,D:\Usuarios\ana.resendiz\Documents\ArcGIS\Packages\Ambiental_SIATSA_0e9865\p30\ambiental.gdb\Ecosistema_y_biodiversidad_Vegetacion_natural_cdv_usuev250sVII_cnal_INEGI,DES_VEG,0,255;FASE_VS "FASE_VS" true true false 255 Text 0 0,First,#,D:\Usuarios\ana.resendiz\Documents\ArcGIS\Packages\Ambiental_SIATSA_0e9865\p30\ambiental.gdb\Ecosistema_y_biodiversidad_Vegetacion_natural_cdv_usuev250sVII_cnal_INEGI,FASE_VS,0,255;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,D:\Usuarios\ana.resendiz\Documents\ArcGIS\Packages\Ambiental_SIATSA_0e9865\p30\ambiental.gdb\Ecosistema_y_biodiversidad_Vegetacion_natural_cdv_usuev250sVII_cnal_INEGI,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,D:\Usuarios\ana.resendiz\Documents\ArcGIS\Packages\Ambiental_SIATSA_0e9865\p30\ambiental.gdb\Ecosistema_y_biodiversidad_Vegetacion_natural_cdv_usuev250sVII_cnal_INEGI,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/3.0.0'><FeatureDataset>AMBIENTAL</FeatureDataset><WorkspaceConnectionString>DATABASE=D:\SIATSA\SIATSA.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>cdv_usuev250sVII_cnal_INEGI</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" "<operationSequence><workflow><AlterField><field_name>CLAVE</field_name><field_alias>Clave</field_alias><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>DESCRIPCIO</field_name><field_alias>Descripción</field_alias><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>TIP_VEG</field_name><field_alias>Tipo de vegetación</field_alias><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>FORM_VEG_INEGI</field_name><field_alias>Formación vegetal INEGI</field_alias><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>DES_VEG</field_name><field_alias>Descripción de la vegetación</field_alias><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>FASE_VS</field_name><field_alias>Fase de la vegetación</field_alias><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence>" ExportFeatures cdv_usuev250sVII_cnal_INEGI D:\ESDIG_1\ESDIG.gdb\VEGETACION_Varios\cdv_usuev250sVII_cnal_INEGI # NOT_USE_ALIAS "CLAVE "Clave" true true false 10 Text 0 0,First,#,cdv_usuev250sVII_cnal_INEGI,CLAVE,0,10;DESCRIPCIO "Descripción" true true false 70 Text 0 0,First,#,cdv_usuev250sVII_cnal_INEGI,DESCRIPCIO,0,70;TIP_VEG "Tipo de vegetación" true true false 100 Text 0 0,First,#,cdv_usuev250sVII_cnal_INEGI,TIP_VEG,0,100;FORM_VEG_INEGI "Formación vegetal INEGI" true true false 100 Text 0 0,First,#,cdv_usuev250sVII_cnal_INEGI,FORM_VEG_INEGI,0,100;DES_VEG "Descripción de la vegetación" true true false 255 Text 0 0,First,#,cdv_usuev250sVII_cnal_INEGI,DES_VEG,0,255;FASE_VS "Fase de la vegetación" true true false 255 Text 0 0,First,#,cdv_usuev250sVII_cnal_INEGI,FASE_VS,0,255;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,cdv_usuev250sVII_cnal_INEGI,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,cdv_usuev250sVII_cnal_INEGI,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/3.0.0'><FeatureDataset>VEGETACION_Varios</FeatureDataset><WorkspaceConnectionString>DATABASE=D:\ESDIG_1\ESDIG.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>cdv_usuev250sVII_cnal_INEGI</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>SUPERFI</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateGeometryAttributes cdv_usuev250sVII_cnal_INEGI "SUPERFI AREA" # Hectares PROJCS["MEXICO_ITRF_2008_LCC",GEOGCS["GCS_ITRF_2008",DATUM["D_ITRF_2008",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["False_Easting",2500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-102.0],PARAMETER["Standard_Parallel_1",17.5],PARAMETER["Standard_Parallel_2",29.5],PARAMETER["Scale_Factor",1.0],PARAMETER["Latitude_Of_Origin",12.0],UNIT["Metros",1.0]] "Same as input" CalculateGeometryAttributes cdv_usuev250sVII_cnal_INEGI "SUPERFI AREA" # Hectares PROJCS["MEXICO_ITRF_2008_LCC",GEOGCS["GCS_ITRF_2008",DATUM["D_ITRF_2008",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["False_Easting",2500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-102.0],PARAMETER["Standard_Parallel_1",17.5],PARAMETER["Standard_Parallel_2",29.5],PARAMETER["Scale_Factor",1.0],PARAMETER["Latitude_Of_Origin",12.0],UNIT["Metros",1.0]] "Same as input" CalculateGeometryAttributes cdv_usuev250sVII_cnal_INEGI "SUPERFI AREA" # Hectares PROJCS["MEXICO_ITRF_2008_LCC",GEOGCS["GCS_ITRF_2008",DATUM["D_ITRF_2008",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["False_Easting",2500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-102.0],PARAMETER["Standard_Parallel_1",17.5],PARAMETER["Standard_Parallel_2",29.5],PARAMETER["Scale_Factor",1.0],PARAMETER["Latitude_Of_Origin",12.0],UNIT["Metros",1.0]] "Same as input" DeleteField "Vegetación actual" SUPERFI "Delete Fields" CopyMultiple "C:\ESDIG_1\ESDIG.gdb\VEGETACION_Varios\cdv_usuev250sVII_cnal_INEGI FeatureClass" C:\Peninsula\Peninsula.gdb cdv_usuev250sVII_cnal_INEGI "cdv_usuev250sVII_cnal_INEGI FeatureClass cdv_usuev250sVII_cnal_INEGI #" CopyMultiple "C:\Users\ana.resendiz\Documents\ArcGIS\Packages\RioTula_748374\commondata\informacion_ambiental_gdb.gdb\cdv_usuev250sVII_cnal_INEGI FeatureClass" C:\Visor_Rio_Tula\Rio_Tula\Rio_Tula.gdb cdv_usuev250sVII_cnal_INEGI "cdv_usuev250sVII_cnal_INEGI FeatureClass cdv_usuev250sVII_cnal_INEGI #" ExportFeatures C:\Visor_Rio_Tula\Rio_Tula\Rio_Tula.gdb\cdv_usuev250sVII_cnal_INEGI C:\Nueva_base\BASE_NUEVA.gdb\RN_ECOSISTEMAS_TERRESTRES\cdv_usuev250sVII_cnal_INEGI # NOT_USE_ALIAS "CLAVE "Clave" true true false 10 Text 0 0,First,#,C:\Visor_Rio_Tula\Rio_Tula\Rio_Tula.gdb\cdv_usuev250sVII_cnal_INEGI,CLAVE,0,9;DESCRIPCIO "Descripción" true true false 70 Text 0 0,First,#,C:\Visor_Rio_Tula\Rio_Tula\Rio_Tula.gdb\cdv_usuev250sVII_cnal_INEGI,DESCRIPCIO,0,69;TIP_VEG "Tipo de vegetación" true true false 100 Text 0 0,First,#,C:\Visor_Rio_Tula\Rio_Tula\Rio_Tula.gdb\cdv_usuev250sVII_cnal_INEGI,TIP_VEG,0,99;FORM_VEG_INEGI "Formación vegetal INEGI" true true false 100 Text 0 0,First,#,C:\Visor_Rio_Tula\Rio_Tula\Rio_Tula.gdb\cdv_usuev250sVII_cnal_INEGI,FORM_VEG_INEGI,0,99;DES_VEG "Descripción de la vegetación" true true false 255 Text 0 0,First,#,C:\Visor_Rio_Tula\Rio_Tula\Rio_Tula.gdb\cdv_usuev250sVII_cnal_INEGI,DES_VEG,0,254;FASE_VS "Fase de la vegetación" true true false 255 Text 0 0,First,#,C:\Visor_Rio_Tula\Rio_Tula\Rio_Tula.gdb\cdv_usuev250sVII_cnal_INEGI,FASE_VS,0,254;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,C:\Visor_Rio_Tula\Rio_Tula\Rio_Tula.gdb\cdv_usuev250sVII_cnal_INEGI,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,C:\Visor_Rio_Tula\Rio_Tula\Rio_Tula.gdb\cdv_usuev250sVII_cnal_INEGI,Shape_Area,-1,-1" # 20241025 10064100 20241025 10064100 Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.2.0.49743 Agroecosistemas Serie VII INEGI 2018 File Geodatabase Feature Class dataset EPSG 8.2.6(10.3.1) 0 Simple FALSE 0 TRUE FALSE cdv_usuev250sVII_cnal_INEGI Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. CLAVE Clave String 10 0 0 DESCRIPCIO Descripción String 70 0 0 TIP_VEG Tipo de vegetación String 100 0 0 FORM_VEG_INEGI Formación vegetal INEGI String 100 0 0 DES_VEG Descripción de la vegetación String 255 0 0 FASE_VS Fase de la vegetación String 255 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20241025 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzsvQd0Hed55v/7vplbcAt6IwACBHsnJVKiREpWsy3Lkqy4Jy6J WxI7tnfjfxJverKbnD0pu5vs2Zy0jbOxk7jELbLl7tiy1ZtlipIodpAAQaLXC9wyM9//vN93QYIU VSyTEmXPcw5F4OLeO3MHmodved7n9Y0xhhgxYsR4GcDn4Qdg+UpobHqpzyVGjBgxnhU+d3wRfuN3 n/1ZMWLEiHERwOeyKyGbe6nPI0aMGDGeEz4bt8BCGUup535FjBgxYrxE8FnSAcV5R1bpmpfqPGLE iBHjOeGT8CGRiKOrGDFiXPTwUfqlPocYMWLEeF7wn9/TYsSIEeOlR0xYMWLEeHkRljQJX3CD8Md6 cYwYMWI8f/iVCszPG2prXwDpRBFmpB+VaYBkElLpH/09YsSIEeN5wpcGYSLxAiMkrVFtPfZL89i9 qJ51UNcg34mo64W9Z4wYMWKc1xpWFIA+66VrthKdPIhOpjCJCOVl41QxRowYLz1hmfkCKlt3xmMq lUHlWolGjkJ9noghvEQH1MRi1BgxYrwkhGVgcgxV33zun9ZlUUJQiSTR9CGorTmrOL/w90us/TIh KA/CELR66c8nRowY55+wTBSgsrXP+HPl58GLLAH4TRvO+FkUFqhMPGgJK9l8NUoneUkgXQYh3oRn a3BxhzNGjJ9QwlI6Ac8VjJyKVhYV3U1AOHuIcPoplF+LqUyjkg0uynmxMT112vsrimB6DLJ5IlNA p84dOS7AhPMorwYmxiGXdyNNMWLEuMiL7jal0s+7E2iiCjrVSKrtNQTzAygvjZH3IELhnTslMy5S O+/4wr/B694A2awd9jb33Y3K5lHbthKaE3jpJc/y4urnzdfCyQHokg5p3A2NEePiJqyzIyOJWmoX F+FNVdngbmYhKK9mKVFlglRuuX0sKo9DWIZkHUpX9VtKYcKSJUQ1VYBGkUgs1JiqxDB0EtraIQww MxNQW28jP3md8lLPfe5St5qahGIRepahXvsGKBcxc2OoZPY5Pnba1eB8HyTanHTHt6lljBgxLu7R HFMpovzUWWQFZmQAU55D6xws6SQqjKJFXCqkYyMnhVYZF6hVFCZRwQQz6FQTzE6j8vUYXYGwaGtO Qm5e3QpHhEJWwjvzJzBjfXj57fYtJc00UQKdqD/zJOfmYHQElnZKkQ3e/gtwfABGhy1hOSh0og6S i40Mz6ElCyowMQYt7dDSQvSVz6InZ+BVt0Bn149zKWPEiHHBZwl/+CBmSQeqa+WZj6ez6LoWGB8j uveb6A2XYUpFdHoRmRSKmJRBiUKeAOXX2AhMpdMugqttQmkpjKftt1I/EsJZiKa8TAesEJKQqKwI 5QoRI08nLInyrKOqB/ffA4UCZDKYTPoUHRnK9sfqrDT2aY0Bz4eGav0rkUTd+DNw6CB8/Q541y+C 9xLU5GLE+CnCj0dYUgc6fgz27sWsWY1q7cIQQk0WJPJq74STT2E+/2m4+RZIuwgmqszA5An0snX2 e2XcaZjZEVS9IyGrgIhCS1pS6A4n9+I3XeKe7yUxgRCKZwvnioQ9pue1nHl+5bLTgcmfwix88uOw aYslSvP4Q6i1f+eIJ5l/2lzkObuYUYgJJKp0xXYln1McW1ub4ctfgNfe5kaUYsSIcRESVnkOc+gJ uOMOouuvQd/6dsz+x2BZL2rpRvsUvf4qTEsvRgIneWBiFJWEqMFbVHcyNgGTKCwKCuipIiabQKWd hEJpH79u0xkKeyXRzuwM1GQs0aiKnTE6fW6P74bbPwdv+3noXu5I66O/C/3HUPd8D7XxasxTe1Cr 1kImjynPop7cB1u3PfPn9XyUVyW3xWjtxFx7LSoouS6qH5NWjBgXFWFFlWmi0SOo7ZdgtmxCr9uF KUwQ3fUVvKb32nSQ6XEqk7vxe3ahJBVLzUNkUNkWvHLG1rkkHbTpXk0tpv8xdEMbpsGRggkDlNSd hJwWn2kYubrUg/fCrW9wjx09DCtWn3pKpXAc31Tg196P+u//xxXG6+oxHa2o/++33BzkordU/cft uTl/e6mz/QjpnTQJrJhWySR5bNoTI8bFRlhKpwhykySyebzOLe6xfCt69dVEH/8b6FmP6l2FXw4w j30atXkn5NugyaVtpr8ftXwl4ZN3otfuIjrwMLp5HUrVgJfCRGVMZQ5TKKCbOt1B52ZsNGRrRUFw ZjTUcKaGKrHjtdA3Abe+1WmmPv5/Yd1GWLIEWjqhVIKGxlPPl6xU/fVfwEd/D0MFJc9Z9HP3JCNM DV41gopCm5JKVKiSGZdGSiRnI0EhvFjyECPGxUFYXorUpe9zXcKFIrVEJVddi/rm7ajbdmBam1A9 q+CubxLe8zn8TX/iXtx/zNarKsND+Kk6GDiGLmpMT6OrAUnEopOodBIK5dMHjRadQHEO09F5mhIa pAt5Fm57o3s/IadrrocdO139SYjnTTfDHd85JUlQS1fBB34VHnoAdeVOR3JnY3oSklIvc4RlxodR 5dAW/U1rHV6qWkMTGYbthsZF+BgxLpoalkQVp762N6fBNOZRv/zr0HcQdek2W1dS196IWZFi/sm/ JpHdjJ9diVnWgdd3CFIpaGtGqSRGdFiFcajJV98PTG0WUziJzrYTzY+hMxkbvZjeXtRi48BzmQhK x1EgUc/mS+Hb34BtlzsSW7EcTvRDp7PHscTV2Aj9ffBz73TfG4OJpM5WfZ90BoYHiR79FPqmd6Ga lxDNjaIf2Q+dV1lFvytimdNkJRGZ0XEHMUaMi8oiWWmi4hDGlPEu2QaXbrM1KhUG9mb1u3aihhrh 8EGCuqKrISmNamzF+CF0daBEmFWacnWrU+8rZ+lhRo+io8TpiGjRf5+mu5IISjqYiyHft7TC97/j OnvtHe776siNEIwd3F673kVk8vXIEEpMCevSmLlJOPAUSsi0cx3moe+hLt1pGwNqxy6QdNAEVsG/ QLYL18WKVWPJQ4wYF5enu8wHWgrRHsH0E3i5lRhTceM3IhDvuJSoqZuwcASVbKI8+D2SUylQ7ahU LapiMMYjKk84Eakd3/FR00XUVAlW9mCKc6hUkrB4Ai/T/fSTkAjsqb2w1kkmTkEIY/sO90eEo5/9 DOFt16BWb6c88l382vUwPYx32eWoY33Q0QGt7XBwv1PVnzgCUyOoRA617SoY6LOyCSVRV3KR1FQU 8GdcFM8OWkvaeCpSixEjxkVAWAvaJRPi51Y7sYKJrFJdnBxMZdJ+bUKJvNLouk6imjr8mlaMPIc6 TGUKlVtia2JEZUt2RghvpesAqlSNU8ov1IvOhe5qmiewEZ7vCuRSCJdoJ5chet11BDP7YayMKU6j mxpQ+RQqK0PZYD7xt6hf/Ig7rijcR4CREVhzmXvfLlHJm0Wq/ylHTl7m9AxkVHLqeonedCqOtGLE uCi35sgNK+menQP0LWnZyEPlCGbvxs+tQSfrbPRFUKpGSz1WKBoVhvHq207NEJowQuUXFdSLc5BM OwJ4JojH1amvPWs4GJ3ow1u+wc0QDg+j3vFhvDaFnlSYts0onUPV513KORqgZEzH94kOPOoK6FPT 6I2XnxoNEoSFPnRmqU1hlZexSn2Re3g1HfbnRvRhC3OGUmOLZw5jxLhICOuM7TmnCUPIKCoOWstk SbsSdZswKHtjB5N7SLZeTzD+BCry7fCxbllpZQ0iFpXTM4WxUwp5e5iRk5CrRdU3ukhI5hkLc6e9 5IUsJaKqnpMpFlA1OXRHr3tMalNBgFq3Cb84D/33E9WJnXMFPv1pV3BfvgKWfxAG+uHP/xjzzneg N1wO6TpHmMf7MUvabUE+nD2In1+LCWbRySaiYNYdR7qmZ6eA8XahGDEuDsKyIytCMt6ZNRzp5JXH 7qem6032e4mkKlN7IJzDq+khqkzampYMRydqVkClvKiAHVkFuh2/SbbYx9TElEvHJHKqTLuPkM1X NVIh+Pq04l0eW8jaSkVMueTGabqqtS/fx5QKMDiAasvBHf8OzS3OfkbIZWoCvW4bXHWbI8L5ApwY hD/8TbhqF/67P+SOUZzHaBkRMuhE1eDw7FrWAuICfIwYLz1hqcS5vdtVspnsyg+f4YAgUVYwux+d 6WG+759gahTqtjpZgCWiWVfclqxwJoAGd5phaRivq8MRExFheRSdbCYqihtEix2gPgPSiczkHKmI lEFmCxNJZw9jTydCrdyIuuMLcF0e/v4T8P/+HuYl7UxhRo+jXv+zp2tSQnaVAN7y805S4SUw//El QjWB/6r3uGaBn6umxNJoCGzEdcZAtkR1dhg7RowYL30NSzyubJTlrGQWF+JPtfxt219TPP45Uu2v QimRMtS6m1vl4PB+WH3J6bpPzkkUlK7BNGSgWLLyCb9mqY1YzGgBulogkPEf91wzM2ltauzXNmoL UWK8Z3mqbD2wosIUurkZ9cB9biznw78GV1/rjiuD19uuhq/e7ghowYqmtQ1Wr4XPfcr6apm5CUyH 06PZ6KpKVAvHUSpxhhmhEV3aeb/oMWL8dOD8E1a5AmlHSpFEQLab5wroC+JSgfV3V55NJYPDXyG5 4S1Of+X7qLolzntdoqL6OqIT+9BLN1VlDlLHF/V6xQ1Ca9+p1EW2IMSwgEWpqUqmhClOkagJKwTj u/FKzZBrhT/5S9i/1z35il3OSLA4ixLt1o03OWuaKox0EuWLB+6FjZtR19+Cl6ged0F/VdWRSSH+ bNhziREjxkVCWJI2VaESDZhgrnrzSrrmttVI7SnZfA3B1B474qOallOa+D41XVvdC/N5jC6jRCGe TKOzkgZWKI/fT6r5agg8m95FBVG+N1RTPIOZnYJECpXOojLV8whDoplRVK7efm3XkRkfMzJBODWG qmtGdXSCPF8iowWymS5Aaw6Tl9S0Os6j1GkSEuIplVG1rT9yxBRNjqHrq75aMWLEeIllDVWIlEGK 6u4bkTfI3N2cjba0X0uiYbutVZn5h/Bya1GREFHR1nhU1ZnUju74CYwJbDdOSY0oIWMzoEqzkJHo phrZJCI3uLzoHEx5nsoPv4PXuRrV2IyXchqtROtWyo9+hkAnSF59K9TWEhSO4Gd7XYTVmLPvY6O+ xR1QWVwh37//w0Rh6Tl3cpzzulQtcS5o19BGo/FWoBg/WbighCVQiTp309uBYBdhlUe/T6r1Bltb kghMNyzF74tg9aL5v92PgozFrNvgBJ9BBZ0UKYNHVBpFSZRVV1+NiKqtQF/StWraJwp7O0CdIXXt z9luoziLCoFhSkQTQ/jbryU8ut++1ARlPK/ZuZfqBMqXCE1mCcv2vbRsspb3Hhl2Xu6r16K+8BlY dtrS5nlBtFnTM+DNnd7ecyHwjAs8zmH9HCPGywQXnrB0kvLBb5DovKJaEK+q4KOy1TAlGndgDhwj PN6HuuZydCXv0koZjWluW/RGVSIqzdjozOQdSYkJoBCKKOW9mi6iYEZUXi6ak+K6fWkKo6QBkKby 1H2YiUnrqRUND6Nlg3UYEO3dTdB/gNRr3uokCdVjWULUUbWQnrBe7lY8enwAdfIk7NltXUyfERKR SeNg4e/+Y059L8s0tl3mupYvEHYwe0FAK5MBkm7LJiIbvUkd0fq2nl5ea4k8eOl2QsaIcbETlkD9 w99gXl1EX38bGIWX6SIK59DS5TMhesU2wuI0yCKJSuS0UjLHZ/3a5+2NaRdSSIrZvw+vfa1NC42q 2OURtgsoNqZWB1XnBKPiIZ9ptMst0Ck3aC2OEP4cwUN3k7z+jVAoYQrTziiwpR0vnSKamUQ3tBCd 6Cd46geEAwdJv/3Dboks2nUfxXtL7Gyu2Anf+w83MP0MOwqt9kvqXRKVSUTVvsQ1CLqWOoGrNBeE WBakFj/KdV1MPFXdl5suqGrQFiIpu43I7VSUa3BanBZHWjFeXrjwhGUMiRs/gMnXOM/2iQJBfRkv 24sWAijOoNo68L4+h6IV6qX4HWIKU1AR14Wkval1upmoPInuXGMjNVvjkqilKicwtqjvbkArn6jK G2zNS/zfvSzR9ChqKkH6bR/BDB93LhJbdtqOYHDftyGXs6vDdCFC7d1DUDpJND2GmZpC17c4Ylno 8kmRftvlmBW9qFNC1WrdzTGGq7Ola5zgVDRgggXPd9vVNFAuuXGhpmdf4npuqGd5rFrDWnjUXp9F vxZx0khUGwixAj/GywQXnLDM0CBlvRc1Zkj8091EDXV4192EUWOYQ09ZkahefzXqPR/AZDVRMGyX SYSzR/CyK1B+xkZLzv89g0qkbeFeSGlBVW5KYg8js9IF1yFcLCAVZXnV20pIo3THP5N53x+gmztQ tQ3u8fk5zPe/RZhJkrj1HXDHl23klPz5dxKNDVD56mdIvvE99tjRyCBedk31fRXULJIpnLrxpfYl c5KyFSjl6mlSb1sM8aOXqEqI7wIISWXRh402iVx0aKOxamoocZhEZEcOwb69cN2rTtcOY8T46SWs CNNchypvxtt/krDwXViyCXX7x6l0lkmU2/He+Cv2hjKmRDCzz0ZEJtmE17qRcH4ABg+iqEG1yiyg sWpyKYib0hAk8q7+9L0vo667EZ1rsuS2+FNJ19CSYqoF3dJJ+rb3oFIp5v7s18j+3t9gUj7FT/8Z 5sgeUn/+L6hMnsjX6NvejN+wBBpmKCZ9V/vxfXRTK/Qdhh7XTRRbnHNFPJYg7AazAFVTd5rMwqqt 8twsuvXZtkw/HzxzAV0n8kSVcZSXszON1jFDoiwR89qGgrbWOWZJsx0pihHj5YALS1gGZgoZ8qaR 6O9+FXXoGNHyuyhe3Uby3hrUB/83UWXK2rswPYPX0ktUHrOuB+HcUcLRA3h0g5nETETodCNmpoTu bEAlGzGzo2A8QobwhQRKY87KhYUIy3X5FlvRJLZda29yL1NPsOcBErteQ+L+A0S1XahsHV5XL+Zn Xke4vA2dX0r4D39tX2fTJxlollnGd70VvvY9t7Hn2SCR4dgISswCF0Sln/oErFyFvnznuV8jaa78 eY6alrPfkZVj57ByRix9RE7iXDLkudJhlb9NOIMKknC0D1Obd6NC4+POv14Gw2PE+GklrDDS3PdA hatX1OBv7cUbOE6Yq+DN+Kj3fgTdtYpw/hhB8QiprhtsYTic2k00OYKn2ki27oIwQWXqfpfWSHcw GWImhyCTIGQa7dXir3ml1XAFxWN4Ne2nCsx2o/PCDS1LK7TY1cxZFbz3ilej+gectCIKSF53G8G/ /j3q7b9EuKIJo2YxJ/uYO/owXrSqqg+rtYXycHIIT/RhC/KLpd1PkygYWUyRqLH1ObeQQuYIi/DF z0JbGzS3nvL4OvN1ZdRZA+Tngk3pqivPnvYeYQVlx4Rc+nfKn1XI3KaJ2hb/lThPjE/AgX2weWtM WDF+uglL6srXXeNz8N4yPSZP+T1rSX9pCO/9v45ZuoXy6F02XfHSnZRG7sTPLrfqdhkWVmQtmUlN ymtYSzS4l7CyH695E6bvGGrZWrx0u6tBtXcTzU7IwA9h8TgSc0lXUFwfbConN6zUsew0tWi1NP7m K6l8/4uYPffi/+Ff2OMm3vhawsEhQq+MeuXlRONlVGGe1DWvq8oqDJEP4bveje4/gmpogSf2wN4n 4GffUf3UTkYgxzjD/2p4CO6+0zmijgxhGuUzniOtk5QxWa0niV+Y1Zk9UzfvDInsaWKyux4XPWth jjEsnI7IpG62oSrHGBt1FtJSVzvX8o0YMS5KwrKt8PPbNUqlFK1re5l9qpu6sTHMyhSqe52to5TE VibVRKpuCyacpXTiqyRbXlGNjrRVnlfGH0SpNGqgjLe1C0wR070EMz2E17bcCT3FSHRsL6qx3npS 6WSLczudnyUKJ/CynU4wKhFGqoaoMInO1uJfdTPlT/xv9C3vxCxdjvqXz+N986voT38c9h8m2rqN 5Bvfi7dyo3ORCCtWI5Z45wdFnQHDJ0E6jxsucV7ymQxmdtx61Gv/HFt8dv8A81//CPX6WzB3fxX1 undVmwlpZ8Ncnree8adxpvhTokF1Lt2WiQjnjuBlpK72zNr7U2Qln0N2O0rHU7qXTc2YuWnM3Dg6 JqwYLxvCkuWk0vXKSdpw/tCyJMex1/4BA32P0HJyLxJbBNP7SS+5GZ0US2Lf+r+Xhr5FMHuQZPMu u2lGCtcSbSWbdqI6swRzx2wHUFwbIutGKtosn3CuH69tjVWyC2HZqEpIoCaJNjWnfNWFCMV9lCDE ZJPWj0u19xD+6e9T2bKR9Ef+hPDV16Ka86g/+gNbuFavucnZ2Yg0ItXoOouCchFlFKXtWVLbr8MU ZmzNSuWaqsLNs0i/tQ2zcxeqvRt+6UPoh58CCdyqJn/SdBAHijNetXiZhUR3Q/14XSuedn1NVKQy /pCt6zkrm0XvIlIL+bMofbTEOC97GRuczEJ0bCnxMottb2K8nAhLtshUrVHON7qWppjMX0mhcznZ L34M75LLiDZJJ2vSLpOwqve6bTAzjRo7SNCmCOYO2jGaytRjmEoFX3VjkmVbj9KlwHbhZOzHikd1 gAp8twFHCs0yTkPKSg+iwhC6ptFZ0RSn3MIL2Zwqtatb347xsqg7PkPlY//TpkT+bW/H/Nu/SuKI p1KUvvdpmC2TvOEN6JalRJOjmNFBu/FHNa84lXaZQ3sxPStQ4ljR8PSxG1l3Zv3hf/lDTvG++Ge+ yDHO2vSzABHCVspoIbtzQOQedmIgkIiyjE63nba0kXGos80ExRc/ncWMDcB8iDq4j2htJxRmiTIT 6I5VL/j3HCPGi1vDWrxi6zzCrf1TmPoWuxlHj0xjtG+L05HYKJdnMA/twVu+nsL8Z0kl3oopj+DX b8Wr6Xbp3Jh0/NoIiwfxxIE0FI3RPEpnMNEU0cghvO5NtoWvqcX4SUtolRP7SXRvc24NyZxb3SUE Mz+LzjcQ1mRQqzdiZMbv29/EXHMTlRUNJO58gvKX/g6am9H1bUQiKm1Zam2ShTxkTlEV85jRIZAI 60//2I3IvP/XYdcrTn12l/al3CD3QrG+9+mR0jNC5BPPYUsjQlwXTYWnvbieoTAfTu6DkkF/615Q Zcyl2wnGduONKvTIk5jbljhP+xgxLjI8Q5vpwjkJKO2h3vVBmJ/HyzRbrZVOt+KXIir3/Bkq10hy 0y3WHlmlmvHSHYRzfXbBaqLhUhtxaTH7mxtD163ATIhVSzM6akA1rbPW7GZ+wkZKEdN4uonE0s1O wDknBn+uexiOHMdr7nAzjUOHMVddSqr3CgpP3Iv/vS8Tda4gvCEP67pc5JlvI9wv1s6RFZ8mX3Ez 3sYtJOrXY6SWVZNDNTRiPvsPcMX1mCu22xqUTfl+nEsp7qeL5RN2gFzeUD/j8g8p1stxbWpsf5f2 h6eeFjGLl29DH9xPNNlvi/xeew7V1I5KKsLCGF5MWDFeNoQlHa3W1mct4P5YkMKu/DERXs0SCBXR gQdJ7u7HrBkkIe4KVR8t2UwTFA5gRqdItr8SJWLRWpm9U9anKpweRNU3iH+yFX3ihfj+BvAkghq2 vlqIOr5ccmmVSBNMZOcF5eYXCYHedQOVPfdiLqnDu/5mynfdQbp1NbquHf9Vb6Fy35cIHnvMaZXq wOvsJpoYw/cyBOUBVLKE19wLl+1Cff0rcHLQDlovXL9wfhBftgKJLupHjWADFzGdiediQFf7kmPZ WUohzkXpZqJ2k7WVDrpyqEQr6o478N79i5hMA6YuA7PTkCtZb7EYMS4mnPvukYiiULjwLW5JyySF uvNb6EfuhpUbiNZ24cmwcjJNonYD4cRxVH3W1lZMNEcwM4pX04nKOIW5jO5Yx4KMu7lsOigiSRnf GRvBZEE3d7rUUYaqxSlBog6rv5JOWRq1pJdU1yqi0jTJm9+B+eHDqIOHUT/7LvzG1fg3/zqVb3+R cOAJ/DVXoWtHKe693+mdJIKqTzsNx/KVcOU1sO9JOHLYfS8XWdI12RUkrUUrVXgGndW5urT5M38H plh0nUI/8RzXVVJCKfLJrzhyujC5TjIELvUybxq94nLMzjb48u2ET91NtOFmEs1r0UHZXaeYsGK8 LAjL+qjnXXdsehokgrlAsDfRta+GzZLezaKLFcz8DKrGCR/9ljWYyhLKEw9jzJwliHDuGF52mYvC kmlMMO/mB2W+UDyzJG2KArz2XuuRFRWHnPq9WCaM5vEauzHRLCpIYKbGXORV3wwqsIPMqR03wmf+ 1YkpK/O27qR6e6X4gyqFVB57CK9jKVrkF9XRnKg4hj52xAlM5dr94KFThOW0WVIE99yMn11Ucdal F9eGkSHY9xSsWn16s8/Z10uIakHfVfUXO/X3GdfVyR/EO0yiWDEbtOmhnScELZHtDTejgsDufvQi gxc0SUhrtWrh9HE83V0d9o5dHWJcHHj2/GR0FMbH3IDugsvABTmLJF7rOmgxGJm9s3Wb057ootpO 1G9xxONl7WxgNHuS0uFvkGzeAabZRhBuLMfYzmBYHrPpkJdqtcstVHEGXdeFljcW8pgtgS/dt5K7 HaW7lm0kHD0Oyzoxb7gVf+kKZ7ssyVxpDK9nPaRT6HWbURKBLhKG6kiI95WYyRFYvwb14O5TP7Nr zFJtNrI5Y4POYkhEk0pjmmUD9eL5xLOwWIe1kLI/U+peKRGOHoQWrFeYzFk6FX3FyUylKC8e+hsu tfsdo/JJKiPfJ1G/DZNJEJlZmJtAZ37cmccYMS40Yckoy313wZXioS4SghfB9E26YRIFiPI6lzs9 0iLK8ZPDRBmJhuas7sgMHyK47268bW14Sza6xRRWXFlyvlh+nmD+BCrdbRtllfnHSGQb7bJWt2C1 iFEFVLYWMzVOJDdmrds4HeVr0a99vRNTFueIBk+S6LkMMz5snUfVivUYcTqYmDhtCyPrxDI51Hv/ k0vB9u5HnTiOaW2w3vbPKFlYgNjQSDSTTrk9i8/vgrnPbNO/p9ebZORIDwcw+AOMOgRzJWjroJKd RzelKb7pAAAgAElEQVR2ogohSmqVsg4tJbsgk85zrDzq9G5+O8HUoxit3FRBjBgXLWFJ9LBmvU0H xZtKyUjJiwEhgvf8HPzWH8KrbnIygOEhzH13EuxIonUeL7cM3bmczBs+agvaqNPbctRC3cWEeNke 0Z+i/VYSrVtspGZrORJlpKVoX+sU30qhc832tSpXi9YhXr7VmgyqhgY8eU9fY5bUYsTVUzyserow XvJUsiQ1MxsRlkp2zEW96/2YL30R9Ya32Pc9VVN6NgwPoWTOcAGi2Xq2WtUCpA5o3/vM1E08wfTG y2B0mOjeb2LWbEFPj6BDEdXOQLbFSS5Et1ZNW3Wq2dYFtRCUeO/XLrcaOS/deu7OZIwYFw1hiZOm JYFmEEnAwiaaCyl/kOL1R37TOXT+6X9zDYDdPyDq8TBbN6Ob1hLOnCDRss2uEzPR8TPGW2xUJpGa RDTBFFqnMRUZhpalEsYuYyUoOoW93OvDAy66qS6X0LUNBIMHMbWyin4Sne+Beudi4CFbgCpEw0eI onG82l68XDV9W6ghyUye3PyJNDz+Q8ytr4eECFql6J20dTflp88YSj4F+cfB7m6sEsNzkNWCm6k1 KXwGixidroeuerilC5OU6YGEux67HyO6pJrqiXVyVCEsHCKYPUKy5Wrr8BqWRq2dT3n8XrxKE177 6qfVymLEeDHx/HrsMhQ7P3+asCSKWCCrBSHkeUK0fDVavKb+/I/h9s/DwD648U2og5P4uTdbopHC ejC5xwpG9eAUoT6AalyPmRxHWWdQWdoq83IGk/QIZvehZazGy9uoyy5inZ1A1TWi6ppQ+TrrpBDN HCdSEwRBH+Z4CLkEnqwYs/7ojkSs1XJ9BjU6DxUp7odOkCpRlK0ReTaVFM9341VQJ4+hulfbtNB2 Cn2JVBftT1yMdPpHKm+fEpOKjU2xYD/LMyKTQQViL1O0kZe5dBumNG4Ft0LWfu0avJwQkm8tqSvT T9qIUSKuVMsNFEf+g2RNCT+13Lm5LqTrMWJcdIQlReDFheAFS+DFbgTnE1/4DOYzn0Ad73OBw/33 oBMRet9RojW+3TNo0iKSlFX1WbvqPswcQyfriGYH0LVL0CrtRKJK4devJRjdjc77qDAFksrVN1gv LrEwtiliPmVnD9XEHMmVNxKN9tudhcHQEbzW7qp7aBpz9BCekKrXiMrmCfsOEJ48iupowGtb5dLO 79+JMVMEt2zF7P88yZOXoHfcZI/niu7nuG52rb24hL6Ajuz4OCrzdC8riZpstFaNiqLJYatVM0qm AxLoVC0m9FDjM5SSU/iySq1uo62HBdboz6ndK9N7UH6K8tg9RP3/QWLtrWiJtmLEeJHxwuZwLhRR VbFv7U2suPUB9L98Ej05DiNSPM8RfeFj8L7/TJA6ilZL8Wo6iGZO4uVb0IlGynd9Fa9jNV5Dr/Us Dwb2Q21AWDyKStZBOYOKhHia7QyjUtIxFLdTEXRKh1GhaurtTa7bulEVQ6TKp8hKLJh1ZzccPYLq WmrrPl5bF7pcIfLT6HTVWXTX5XbjTnT4DrxME+Gj30JtvAKdfRYysjORL1A+IoJW33t6XUu88UX6 4actCal8I+HYAP6SZU5cWpgmnNhLkG5DRQod1RHODqJGJgkzQyRadtplt6mmqwhL44Rzh2F9E6pp 6Qs7zxgxfkyc38FBqTuJZiuSWtIL58KVG5vonxWDvxto+7e/ILHn++jSLInHJon+8VMk3vx+wqUZ or2P42eWQqLe1pbCmYP4mUutADQqn8DvXIVRJcp77yS15SbbBTPSEauU0AmxBvar7f2qXxQBpjSF KSfxGpYSiTtnXaOVAaDS6EQNZqAP1bLEyj2sJqq2FtW7Cu2L15arS4XmhJULpO6bhne9GUqtqG9+ C17/ljM/rNSOXoj6/WykZQznzAWyViAq7zsyjmmtLuRIpNBeimh21NnYjE8QnXwSryfA8xolYbUD 5PruR/FuvhIjpK7ThPPHrdZNpgnC2X6i8n68rmdZbRYjxsuCsBYEpi+QrBbX3ZftWs5g7zL6LruW pf/jA2S+8yX07oPoAycIs8vQrfWwYzWBP4SalW78ZbYQH00ch5aMnVH086tQpElvewtRMA2qiOd3 okjYgnVQOYSX6EYWTutElrA8QjC1m2TLFa7Vn0xAMTzlUWXtbMR6R6yEU1UniCmZaRTyq5rvec7/ 3ct0YL7zDbxf+R3M2m3wgfdanZaNhs6QcZyHpsX8HGp2FlMruipJcWUsSPy7iqimFlSxBJ6TpqiG dhg5CRmPkn8ELdMF5WkS1vGiTJSYRZemSfyvjxPdcBXRpgbCYAQjVtayVLY0SzBXg9e5Od62E+NF x/m3ZpCbdnrqzBvzBaKjQ0NHPfy3P8Q88F2UbKlpaUV/9etEb7sJs6wHojHnLDo7jte93gogPb8N XZOrepjPo5LiwCXizxFMUHSasqRsk05BUlnRaDQxCtMT+KrXbeGxfJLApEKXNsp7iZJ9choT9Lhl FOIrWtdEND2EqpF5xgCVkkWmadTYLPz9v1oDQfU3fwlCfjLycgYkKnuW4rUY7Vnn1LOec7bcQT5P fT3mq59EyyJYebqkuUJcImSVJkMmjfmPu9CXX4UZH4F2saC+3F4fL1vdcB1MWxvq8pZadHYW/eTD eMXVVJqPoTp63BRB2hAO7nfbdqpd5BgxXr6EZcd6zrM1yYpVTL7zV2n4pz+3Yk01PUk0MwxlQyKz Fi+3BCRCOnmAsP+wXeGlcw3Wu92quaXzFc7j55ZbpbwtRPspvGw3YVEGk7uhwWAKE7bTqJt7bESB l7bGeH79JXZG0ROzv/KT+LWNUK5ghOxk3EYX8CoZRz46gd9XhPYm5+Kw7wmU2OC89S3V9PJHuZb+ M4egZ3wv5ntSys/BoUOwfqNV+dvtQmLlfLQftWEzatOlmGRgU1gheZUSHVbR1qmULKpI1BNO7odl ywk660keT+N9/HbUr1xit23rTKdtGITtEUwWX/jvM0aMi4awpI7zY6xfPye05qnrP8SVX/pHTLkg AiR01ERFLH1rGimP/QA/vYJw7BBeSw/R2KC7YaVTKKXx0iy6bandGMNcETI+Rhk73hMW++z4jlXT 57PW7yoMTuJpMerrR6e7UVECP7MMMz3lLGpkuHh6HNXQZGs7ogKPRkfxpiU31URNdegjB+ywtRqa gutfDVddhfHE7kVILvH8Bp9HhqG5usBVIM6gEm2dTVgLuO7VcOiAM0HMZeHfP2+DODM5Cbd/CvXz vwRR0hKsJmOjTWf+d5kt0gdP3Umiewvl+SdQqoLZsI7gPR5+e6M9b51dDjJUXpwh6m2KZaQxfjJX 1T8vlfdzoHtlhvDVt6CGTqDr6/C2XY1pWUV45CBRdpLy0QMwOE/ihh2Exw7ayCqYOGhtZkhV0K0d 6GQrxi9jlBS6k6h0PTpsIiwM4mW6CE8cwwQHUe11GLIoLYswDtib2U+vc4Z/tc3Ws52GWqt+l2OJ 26nXvAxTV4eqRHD8KCxf7bY6C8Fs3eYWYdhN1ac7rGZuFiUjPZJGP/owrF4LtYvsqYWsFndkhaie Taibz7kNPseOYpZ1oy6/whbKoyf2EKSmSA4epRKOorrbXNe1PIEJjuLnVxP2PUpQ7sOr2YWvV9ia X1QYwPTWO4nIkT7C48dRK9fbzxuU+kgEzc89chQjxkVLWOdwDRD8uGQl6OzUFH//z/AluspVx4Qe u5/E8ssIzGHC9CAMVwj79hAePUKUThGOD2MmT5C85Z2EU4N4uXaM76Gr3uUqmcFPrLEWzLrYCOIU MTuOv/ISVI08J8IrrUCRcRqp5nZMOmNFlXo+5+pkGZ+o/wTR7sfQq5fhNa/AEyvjkWHMDx+Bt77j 6XKQwqyLQoXAxLZZbGokmlqz7tnlI88h1rQqeSG55hZM/1Mgi2D9BKq+lkTlSlR9I0mdtF2/YGY/ iYZtdnmtkdlKIczWIqUTXyPd9UaUkJmuJQomiMT51aslqCtTGb3LWjEnGrZTHrubZOOVbqVYjBgX P2G5lVYXzOjvLKSz/hmnrDuWEgw84KxiGjN4G7dbmxbV3Ipe0kG0ZxYzDEzN4bWuwExPo2RDTGWm evN7Vn8l6nlr5Ne1Ai9a7pamVpewSuFayVBwpO2IjQwJJ8xyomiW4oOfoWbne2FdD+XoW+jaLpit QJPzxlKjcvBzQFZsSWpZnMf0HUBt3AaX7Xj2lfVCKkZ8qsQP69xLQmy9buFrUk4kWpqz9bbQDBHe czf+lhvwajvteI51Jo3SmNIE3qvfiAkHKY/dZ//hkUW2kn57tSvsBuloZQd+qg1dXkll/H4qk49Y yUOizs1oxojxMiAsqccs/raqqK5Mo1+E/4l1Qxv6L28neuQewt9+H4nejVT23I3xynip1XYrtG3l C6kahcrnCaafsFt3ZBTFtv6jCl5KBn09yIpraY9L24Qcqv5a0nkUCxwhMPlbFOBeTR2pja8jOLIX f+Umkpfe7I4hpSgZmZkYh9ZndjgwyQTKryf6xh2o9qVuseqzwEgnszL6dHuaqUnnvyXpokRpMnsp aK3W5SRSFFHp5JBLfeem7QiPX7vSRmSierfnnW1HF4s2crL6MFlqW5CZySnCmb2kO97gNk3LlIDY LwdzGCN6t3E3KB0jxssjJTyrplIuo9VZKeDJQbd6/Tluyh8Zno9qW0Xy0c+h/uozRH98Ff7mTTBw gvCRe1DJGlLXvwmvs7q/UG5MrwbtN51y5XRDyRnM3KRzPIhKVpfkXAtydrDalp3CeUwg4yqiv9J2 PMjrXIkWXVMiiZK9gsUCJlfnykwinl21xmmh7EJXWRtfvdxi1yPPefIJ9OQE5p/+FvWL/wnq6p/l Knt4iKK95uli3YXI7JEHYcdOKymx84LFWUva0lzwarvxrvp5osJxmDhqZRhSi9I1nXYfIcnAnddD 92BesQo/v47wwPcx0QDeyWnCwv2oeUOw1C2nlQjMy/QQjP0Ar5xHNcfq9xgvpxpWdRW8jSxk393Z LgQLRnnnGUH3avTaDSQePEQo7fvdjxKMDmE2b0Ov6IWUpHJJq2mSaMNTdbZ2ZIlEoiqROYgHjUm4 Ba5CtguD3VUtkxCbmAe61NG3xXJ75eTnsqVZ0sswIhoeRM1MgwxT19Y5P4bq3sEzPrt2fvSmrQ11 2U6UrLk/cdzNaz7T2JPvY2anUSJaFYgzhcgZZFB8Aa98jXtc+HJ2wvrX2+WrUQqdaiUsy8KJFNHA AbuXUbf3WGNBZKRIdO6SCotD6xN3ozbsIjHVRDTRb1eaESQxdXmCybGqW6qYLc5QnnwUfWiM5NW/ 7KK852OHEyPGS05YEkEJ2lx64GxUqsVxGTAWC5fzDDM5Cr09mK2XoJ58iOjer+NNadTNN5HcdA26 sYVw8BDRvJjziQWyLHQQT/OU7ZAhOqWwQDgxiKptssJUu2BUunZ2QUWNLTBbIvMz1ulUCC0SOUVW rJiVLVjL2q/w+BH81ZthcIDwnu8QtTSRuPz66okaJ6YVKxq5qcVRVaQGP3gAbn0T7N8HMxINnWUR c9bGG1Vbf/pxWU4hhHX276D6ezDTE5CptVEmdWKdE1iTCJFa6N5L7FZtuRZmdtaaGFpPMS+Jf9nP EN33FZHPY3ZspzJWxPt2H1yzi7B4EjU8iklUSNRdQlg6YbVw5bqTqH/4PfxJg7ryVbDzFdY99UJt Xorx04sLJms4RVYXCDPDc/Ddr+Pv/g7qoYeJNm9C3fpG1LceRq+73N3cckPL4G+NLGOQ+yeJmZMb udH5YUlX08vi5USjVUZ7GcLhg0TFKfSKJkxxmqg0DukkKpF1kYUU6etana2MlVSJx1WF8NDj+MvX Eco8YlMTie3XEI2ddGp4Ea6WijZ1k9ROxnqiUgH9ile5D9PZBd/4Mqzf4NI7se9JpQj7D9i1aNIM sOg/6iIqWS8vx38W6PYup8GS+pvyKA7+O6n2Wx33CTeFndb62E4CeAlnbKh8S9xcc2s1MjR4mWWk 3vpzmLSo/UugckThLN500nqGhZWniCppwp3bCU48jn74H0kcfQLdthKWdMCGzS+OW22Mnwq8KDqs 5+2c+TxRnAuZ/B9/Rcdn/wz1x3+CessHMZODqKeOEW1eD6WK9YgSwtLZOoKT+60zg79sPYgdjaRN 1fORtLBybC8qX4NuXYtu68JMi0Zq3hFS4KP8OmsZLN0y2YtobVu0OD1Ugx9Ju/J1VlTqtXQQaedK qmRJ64n9qOYuVKOoxKvwk+ielacjpEP74NU3O78xSa37DluJQ/idr+JtvRKqhGU6lrhYS+YYhdSe BaekJMpZRqfabnRbr22dDlS22ZKVkRSvtsWymNjfMD+KURUqQw/aOlay6QpUssl2FJPNuwimUoRT +6C2Bj/XTXTyIGosQve0UJIdka/eRnD3A6Q+/UW84RLRB34B9cq3orNVK+kYMS4mwjLHj6CW9JxZ izm3GeYLRxiQGTyANzsGn/wkUes3UNkM+q67KL7pOigVSGy7huhjf0nUuYRwbJD0Wz9U9c1TmHLR Oi2IPYwQltfRgynIjGDReX1VFNHkEVRrFyrtO3W9jPmYBFFlHi/VYHVZ0ta31sj5OpK7Xkt44HGr fg8O7LYmfqlXvdUSW3RyEG+FM/CzDCfWL3YZRFWusH6j/dIt0MCOxpighD9wAr1ktGoSGJ1OuwXP 1zjR2jhXF6x6NYT7H7PyDK99mV2VFhYm0EmFEuvpbDfB1H6C6cdR43NE6XF0pRmSzbbmhljUKGNt fbxll1MevYfUslspzd5B8QefRG/tIWIcs6qJwtYk/nwbLCuSPrEPBh51S00qFYzMbS7tQck85uVX nv5cF3CBb4yfDJx3wlJt5+gWLRj+na9jJBLo5ctd3fn+76JTOVjSCVJH+sQE0fWTRMcG8f/u76m8 9pV4r7ie8GufhetutuLJYO+DJLa90qrAjXTw5ubs7kJKEnkZvNYegkOPSrXLDkXL8USHpTN1aJ2i MvRDtFdPlDOU+r5OauVr0MkmovIk0RMHSF56DeHQMYKBx9HZNlRDa9W+WYhDYcT6xWrYqoV7WaBh Uzy5WY1zTpWo9FWvhePD8Phj8NgPUe94949+rewktHM4FeLSHd2Y4wdQs3O2xuVJeputd08R59G6 1VbPVTr5ebeOVaQflWlnTBgFmJzIMdphPsJPraL0g8+Cnsa0BJZkrSar3cPMlwmbFL7fzPz9/0LN P9yLN2fg8CGozEG+wUWU/+X34W2/YMWzdnjc1tNi0orxYqWE0s2yO/CSF+x/vFRao3/vNymnCtT8 6z/Dtsvdthmt8ffvhS9/Ez7/BczKDZijfagnnyRIV1DiwnDkKahERNPiWZVAJRQqnbdkZVIG7SUJ xw/hLVltx2a8ZA3RvGiN8s4ORurXshLr+HH8tc3oknHRjwQzHb1EEwNUnnwIr6md4sO3k7ziRvya NZQP3SfuNiQ2X40pjYE4SNhFp1X1usgsCjPWxVTJ5u1//xz8zG3wyX+ys4G2g/j2dzl1/DPNEp4L 9ndw+hg63wyrGtwORFl6MXQC1jfbzqV9b63RZR+/cQNq33HClhmi1g7wa52NjRExapHw2D6ULNuQ 6YC+k6iNa9FN7TBbxm/fRTh4AHKh9cGv3P8klfkRvCdOuNOQ/xSk6ZGAu+6EG19L+btftN3l5LU/ 4xbexojxYtWw1MFDMDMD23dUi7rnv0OYSCj8j/wXCq98M4lv3Y7O5fAmp1AD/U5mINnF+Dip4SGK YYVyow9NHdY2WYSeBNpZI4ukQbLM2T4gh05nUeLGUFJEYwNQCl3KIiQh6Zv4t4dJdLPsrBdpwDrC uRNuX2LSkLj0OsLH9qDbe/EPLLV+WabR4HeutYaB9vrInGKkIJB18I7YRX5gbV8kmlvajZoYRw2c dDorIZepKbjne/Dg/fBz73QR5dm++9KJlLVj0qGT3YtCQNaeppqeSxRXEYfV0Gq0RC9n1qxFqYiw MITnN7jPmq/DOwBqUhFNj1AMD+AlevCjZQRPPYBJzxI2h9S0vBXfr0fn11Euzjp3Uy/EFEaJvJPo 4/UEI/dgshGVjhzpvXKhq+crpzQxjHlqD8GBx1D1Tfjbr7kg3eQYPzm4IH5Y5uhh1Je/JIZWqLNv rPMIGT1Jb9+CvmQdJjLM96wm9cADeKJIb2x3N9/wCbwnyrC5m8rue0ms3GJnAKOpCbzOZZiZKUSe rnOytmveOpKKo5+ZGrEjPuLuYG1hPN917fIN+E3Oz9w6jopUIggJCyfxcs1UTjxCYuPlVu+UuOr1 RCNHrb5JZhTDkWPo9m6U2O94vtN2+eLGUN30U5NztbVcArqXwSc+Bgf2QavUgnrho78K2QzsesVp wpItPlI4f/wxWz8TVbu1s2lpg5lJTBjYGUgLIfKEsp8pOnYYvWqzI22JvHQOk5BUVZQbtXgbrsI0 HcUc+Q6+DDnvfwqvo4UgnyXKTOO3rcaIE+v6TRj2oWoHrJcWYwW85i4q0/cT7j+EkuUffjNRV5Jy +zCJk1NOXdKzDvr2Uu6ox1+xxnZbdfOSOB2M8SITluehtmyHT30C/vC34Hf+6LS4sdquP8+Hs5GO RFSla2/m8G9/klUf+w1Sg4ddtGHAz7eRHShS6k0RTY0S7HtUJFQoqR/VNqDrm4hmx9F+oxWYGolm dDUiyRkrFhUi1q1LncWLjK5I4T5fT6LtUqK5IZSut+u7opkxRJAe7nsUf+MOlL8CM3YSlW+2NTGs 6DSBSYhPfL2L2IRISvOolja3eUd0Wt/+Bqxd59LdyXHMX/wf1KO7oa4ORGhqdWhjRNPjNmrSO3ZB oWAtnGVZKoVJF3U1nVbP25QzXYOZnyMY68e7/BVWsKo6l7qi+mIVfT6P8ToxbEDPjRFlT1K56x9R W7dCfQpNrbXvMVL3W92ImpmwiznCmgLB+EGQWtYlNXh1KzGTdxOODjC3oYuMlyTZPwIH9hK2NFHZ uh49Mmivlb3eZ2vLYsRYhPP/f0cUuvVRgwfQ6WbMlz6H+eX3Od3T4i7XeYaUampqFO1vvoGZvjfi /9tfoSsVaG5DHTyAt24dfr6VytAAZtMVpK69jcoTD+JlM3a7s87JPndxIa2gfJ9wuB+dyqAbmokK UnSu7j0UksvXW+sYEwQoX9kFF1anZSK8TCfRcD9mQrZUl130ND0HDUlLjsHRQ/i5OszsFNHECCqd QdtupNOtqcFBePAekH2Gr38zHD4I//W34S/+HH7pw9AlHvZOsiAFap3JWUK0G6r3PISW0SGJziKD 8QyqHEFVEhftexTal9qoMnH5DXYqwcxPo4rzbv6xWsNagJkZI/zqV9A/fBy9rpdQWgVBkcSxNKG5 E7O8ZBfNMjthozcR2ZryNJEOUEnpRG4gHH4c0xvBE6HNvivNNYTpVlQqQ7mjgZqb3oa/equLVs8W zsaIcRbOP4McH4DP/CtqYoZo5iBqWSdqvgJyj/0oxeIXgHRa/ijmf+MjDK/dwuyeQzQ8dTfNI59H HdlLNLLe1mr82SnK93/TFonDvT8kal6C17XCjtmohA/pHP66HXY5hSjZtXS0ZFZQbmY7SG3c4gqJ lKSQXyqDNEJlc3LtUksW0o2z+rOgjBZvrKo1TGLFlVWCrLUmgOF4H7qxDSNzkQtzl8Mn4Bc/DNPT zr21vh71nW/ApTucGFOOJV5bhYJdV2ZlJIJSBT0yidlRZ+t3piZvVfx+Jkdw4D7Cj/9f1M/+gj2+ 6mrBa1lPMLkXNZHFlAPU3Bxq/ZZTCnvdvBRv6QqCe+7DJPOocobkYYiGnqByZRJvVHYXionhHF6u 0+19zPdaEaoZOw7elLWySS17LaVUH8aUKLfkoCWHv2Yr6Ve+Ba93nfMEE8TdwRgvug6rsxN1y8/B nfdCKom6/rUgIssF8eh5FpGeCzVNWVJvu4n6uQozX1nFzBMPk1ezJA/0o37x3S6ykUL3+LAtcmuR FbR12e6UbI7RUnSXaCOSBalJzNS4LWTbuUGJIK1mK7CppNS6mJlynlb5DIgHvNSEGnrt8HQ0dYJw rg8/22tTu/Cxh/CufrXbaiMt/KE+u0reiPf6uq2oSy4lWt2B8g3q8D44fNimgNHv/hH6+hudyj2T cYPaee1mBSU6CiroV90K05Pu9yBEGnp4LV2UZc2YmAVe/yrM2JAtcKvxAixN47VtJHzkQcxov20U eOu32LTZJObQXguqdwNqbh71yKN4MyX84+OUdy7Hz+zEa1wLaZ+weISoKH7wJZtWR8PH8GZa0c2t +MUVmPKINU2UCFv+QTDzRZv6+uu2WeKOEeOl02FJJLF0GdF734H+m49BYd5tmZG6TD7xotUodNKn JumTfPONzPW/i/LXvkFirkSyqYfKxAT+l78Ob3k7Zu06vNZOGz3Z4KlcsCmTLJew9aSqwNQURtCq zX6vcnVEw4cJDh7B61qHauogGh8kPLDfun6GyTGSNa+w5yFpkhb/KukwKoN58B7Mzuvdyq3WLntO 0Xe+hm5uhu5e2zzQTb1WkGo3S7/57ZjtO1xHUYaqZc7RzRk5WcYZbqQaGprcAPaSTkvK8ri/YRsm KsJkQHj7pwj8PSRe/RbKd34S/5JXogYOEM4NEFVmUQe6QM7FBpKBHUMK6jOkM414D99N2NZE1LMM PZXCW9JGZeqH4AcoajDhGEZlSKy6nvC+e1BZ56cfFvptFBmNHsHIPwI1WSsBseln4vzWNGP8ZOMC sIeyaYy+5R2YunbU1h3VVnntSxL2e0mf3K//DuEtbyL8/d9E/68/dTsb9h2m8ra3Ex3Zi5aV9aka a84na71ENKo27HDkakKicbnhloDYx4jZsRTqGzoJx8cJTxzCX7YR3dJN5Xtfd1t41vUw94XfJ/2m 96OzkjIZgskDaFWL97ZfgkcfcTN2iQSqrg7v3R9yG3LQRE8+gpFIRDzZOzrsSi61ep0TmgoW187C lf0AACAASURBVAGlSL3gQlo1URQbZ1HZ63yXe0px2NnlqJT1zUr87PtQo32Yk/2oLZfZz0TrErvA QjUvI5Kh6qHj+KsudYKpnjVk3vJh1Fe/hvngfyborIVsguSGnQSTA6gRjepqw0xMkWi6GiNLZR/e Szh4En9yG95MC0ai2M31lA8cdeLV1i5XZI9TwBg/Ii5cuJNMobZuPy/rvn5c2ILu2o1M/9ofkf7a p0nv+wFmrB8zdALV1ESw+1787dfamhKVkr3ho4lhvJZOa0Ojl3TbVMwkQ8xcET3roTJZdHcvKpQU Z959v6yXsP8QTI+h77id+b17SN7683jrt1EZfphE9+X4jV12znDBiiVKG5Q4QwjxTE5iMhm8OukC KujscQZ9opuSQe2z7KZt0V/WlS18L7UpMeyzUZhEiyV0ugWVyBEOH0alPDsnSFsKsi1EasS6Lfjj BdT0KPTPE13bhhk9gVk65xxJVQq98zoq06NESYNubIVaCNUoJlNCNyxB60aCZB/RoUFHcmua0XN1 RLPT6PZ2wpMzqKWNqM4GGC2T2LzTjSnJ3GSMGD8CLmx+1tT29McWVNsvMiQwUavXU/pEkcyhYyDr Cf/4Tyi/4Xr0pqsID+xGyWowGUyWlHZ8wBbbJZpSkUe0YPWiAqhxqa3OVOUFshF5/jhez3qiwjzJ Nbswv9tJ8U8+gv7WdwnGxkm95k3gR9bIj3qn67JjOLPzqEQZI6nnwSfRXcuIBvvQkjKJy4FosMQq Ji9LMRalTyKtEAdQUqfISlwj7CnKsldBddxHNuP4Sza6tLQ4BzMlVG0XRor2S/PQtBU++Y/w4L3w 7a+gP/r7hH370O1L7TJZJTqudRsIvvpJkqtXEI3+ED0zipoLCDtDElE3rLiEaMkIvu4hHDuMuuQS tKnDNCnMo1Mklm0kaO4iGthDNDpIYu12dPM5/v+IEeNZ8OIUlKS9v7D6S5hj0ZDrWZ30CwY5ZClM kJubcl5UIqwsl0l0bCa6bCfh8YN46TzR5CiJTVdAd8bVkARiKSP+6OLDPu+hGjJVx4Zq8yA01iZY 1Xj4K4uYqVH0ZTth+SqC6SG82nrK370df+vl+EtWEe5/HNXeSSReW/lmgofuxt+8A7ViDeGxA06F LoS1kD1Pi34qi/Gce6mbSdTolNtIbSHRlMgtFl1QK5Ww0grpaPpOTS8mgGHGnns0P4cuN9g1aLz9 3XYNmP+pf4avfZ3wHe8g6j8AIrnwNInVl7iFrN/4Ml5pyhHr1o346Rz0LMczBj+30o4m+UsvpfL4 N9DL2ggG98GyDOVD38Nfu5FK3wDRU3swN77x2ZfIxojxYhPWqVV7iwvt0tFaRFhzc4Zc7sLXtRZ0 Wt7ICczUsE2TbFrynW/B5k3W8M7UNdk2fjjYh9e71taVovFhW+OSpaZKvNOTCcKhAXRre9U+WTpf KTdeE4jBn6yHF6GsIfW+j2KGTxDsvhP/pndghkaIss0ETzxIcsN7XU1sYpRo8AhhKoW3ZotNH83M RPWkq0wuQlZJSetycKwPtWYjZGW28TTTi2PEOWtC4pAqolSpvkma3rKkqpUr4XUtt2mpOJMuDGbz zvfAZz+Fd+QY0cb1hJOHSMgWIJ3D37qDgv4+eu80ekMXXqsssDV26azYJdvDNSyzdbXkJa8jPNlH sncXFaOJ5qcJ1D70+tVE372X4NH78FdtR11gqUuMnyxcUMKqVAyep/BkN6BAOoVHDp+x4vzFIKsF 5POK0l/+LaP/7+Nkv/JvJLMp/EcfRf3ebxJetYlobIjE9mutRki2zbgum29JSyITvWSptUvWMqAc RLbDJZ00S1ZiuUwC3dR5yk7HW38prK4QTg05lb9srB4bwttyBSqVw8tugFwZr7XbkmTl/m+RfOWb UPUtRP0HbZRl5mZQB/fDzqtQ+Rxm5UqUzBdKXU5mBhcg5BVUnMxB5Bni+CD/OIgcI1Vj0zCVrUPJ a0QaYWUY9ZhSAZKZUwX8yvQeEq97A+Z//ndYt5bwSJ+VPuiGFuuymlx6pRV+GvHHz9RCIUSnOzEz k06mUbXNkb2H8rmCfQ/b8RxP1WB8mZ08SZiRiYMJKEteHncJY1wkhJWUjtliPLHHrp1/qSBBRHpN L/8/e+8BZNd13nn+zjn3vtDdr3OOQAfkSBKJIMUgkiIpUaKyPFayNPZaHmskW16v7SnPVM2OvTOl WZd3be/aZcka2ZaDbAWKFGlSjCIJBuTYABroRuecu1+6956zdc4FKWlGXlkjSgSl/qpQhWoSwOt+ 733vnO/7/3//4JOfZvrO99FmRuA//hbi0gX89noKqYRTwJvcKqLMqtmtrMEOqjXSt8PrpFNof/dJ xlI6X50h2StWjT3BmNi6k7aSiAKJfXehL5wmGh/G27zL6cDCwfN4XdsI+88QjQ25xUA0MYSeHnMS ADuHsicxexWU11/viKhWxyUqaqE2A/m8w704Eau124RRvFwICmATp8syGJsA7fvxY7HNdWUBs2yQ iVLE1WWIC3O1yGirNbN+RmviTqcxt92OmJ/H33sQMz8NVRbyB356F+LKELKlDTmRR2zYibDN0mrU LJe+odE1cesMMDJAlxtEECLCUsfOKs48hLzchte5ZY3/vlY/dP1kjVs2FeZ13hraXlPeWul+RdEW jE2J/sy/wTvXT2AKFL75JVIf/BRR7xHXNJzAceue/+Hvcd7DkvIYAig9jLQgP4tLtg0g850NmG1o dbVED5/Fe+JJ9NZdrrmFZ55wJ5TCC98gePZbrqklbr7PkVL11IgzVBee/jrpf/VpR5gIDj2KSCQc fsV9E4mk8wa6k1JJBqzh2w7lr1p8nEarqsaJXF0jqqrDjA2A/X8rq+NGZc3WCTuPi9y1152SsglE dQKxeSdRYQlV3YMRNl/RoK241XjgWyX9DNGxF5x9yQa3ytCDxjqXtUgi7WZ8aIGRS4RRPx4bkNZF 0JJxzVK197xqR1qrtbo2G1bPxu/7ZZf3Z08KKoEp5tyb6CdR+byhMFWgorYZNTaIX18O19/sFO3R xDCyPoqvSk6db39UNnQicpTSGIMi0NlxZNoGWKTijD7brIwiHOlFdW68ykHHUSvM2++GcpuF6MPz 5wipgIFh1Nw8JggJX3zCDeP9G25zVAVRDMl98bPIjp7YvhOG7nTmpAXu2pWOCQlW3vCKF9E2hVfq Kl7GWl/cHCttQylSMfXT4Wz63clIpi0lIaY5SGvzsdtEJVElVejCAnpyEIm9QmYQotox5otDzyLu 3eMSh3T/OXQqgVTN6IUlVGMHaA+dncB4RXcVDYrn8fQO/IobSHz8JvDtlrP4mqSCr9XPTl0T1nh3 rbJvmBcOIbq6of4n07DsED543wcpNtUgP/ufUGMThJND4N9GYv+dcc6g5TzZ04id91i1udVQlZY7 xrsdusukBfHZOYwlh5bESGIvhaytIxj5tiMgJNtux1gMc0stsrELzDCJX/hdjCfdzCz313+IbG4h sqSFyzP4e253px0vH6F7uuNGUtuIqqpzA3oL+XO8r6ubV72y4BqWa1pXr6ivikgtDSIooOcmURa5 49TlCWc/MnbeZOeLVuVvDd5ucC/jRYMlR1hMUE0NsroZPT2FjIzLL5SrKyQf6yW4YTuy2m5Hywgm XwJdghkfR5dnUH6dQ0arziabskHIRXRhEj0+gbkyhbftekTVVQ/kWq3Vtd6wrOtfhMZFgL267bKW kJLvQpyMjcYoFetq/jGUfe9WdtWh236OpdZ1ZP7k99GHnibwS1F7b3XXG1nbHF8NLUXVvsFLvzMk FiqJjmxyssWiJJGJxldnWtq31hpLf7BhrSGqY2OsbXrsaeSO3YiW9li1oHV8EssX0CuziGSSwpf+ yHn+tIhQ0XpkTTVR/zlMXQvSatsK1ouXwyRTrvHYP+PmV1GIXpp3A3K3ibX5i9b36FlyQvtVpLwF E064AbnJLSMtq0svXx3ah0T2v0lJeOU8XnOHWxYIG8yRXcCICH3lAqq6Go4dhcPrCfeXoWdH0cfP YPLLyGwZenUG1dCCKPgEjz6AV9VEYt1WAs64kA/6A6KBc6i27pj2ulZrda03LPtmNzr7PQGjpms9 Jj+HMCXxG9/ie+3a+8cchS4TPpW3HyQs/V3kH/wn1H/4XfjFX0Xc8/arCdEBenLU2XNE+hVWS7xV c1osO2T2StC5Rbf9cyciUYps3kl46djVaX86vo498S2MzENXd/xndYS/62Z31Uze9k50doHCl/+c 6NJpEllB2HeRaNd1JA7c7QB3ZmkaEzYjKy3WWLoZW7wZzDiF+6vkA+vZy1Qi7ePNZTGzFkgYCzUd ytgY9MQwNNY4S5IJAqLxQWRdk9swuhDWuVnE3CJs246sbHC6KbFzXSwH+b/+HE/PEi7OIc6eJvnk afTENDR2IbZsJVg6i8l4mGGD//gzmIaTeL/zKXRhCrF5HfRPuVzHtVqrN8aV0A6CbeTWd38pm4XF ZUhVo4szsLUTmfgJDemlwjtwkPwHPkHqt3+ZwsBpvMIdblNmiiXIijoXtPoKbcJiZ5yq3IaxWuuM xQNbXZaxEgHbBOvdT9dbv5dw4qQD2WFj7HvPYSy5s/abqM37HFc9eOivSHz01xGVtah8BcYTqK7N yD4bEz9E8dxx9Kbd6PlxvO5dMUPepVnbbZyPWS7Gj8suAF6ROryifbMbOnvV8wtXsxTtHM7GoAVu 8O2G5LYpz064raS3024Fp+I5VMIO2Ffj+WJpuWtwNsTD3d/37IfFK8jPfTa+6u3vRv3TIaKdOdR9 H0WkQe7YiLQi2sll+PYLiF9L2ywPQtEPVQV8Y9PArzbYtVqrN8oMy+lI7ZsplwfLZSpqRCq2vfyk q+yuW9FH3oMWC0RHnsVU1MHWnU7TZLd7VorwPWJYe7pyiaVxaGs41YdIJTDYJraILGkmGriIWJZu WG/xOwwNx7Om44dhehpx6jjR6cN4+24h/9gXCS+exOvYSHDwOvSLi4iqCowo4G/a5wSXCUuXsLO0 Qo7w3BHUuo3oiRFknRWzFuNT3itlZRkWNmhJDCblEnrClfP45VvRfecQNnprwybCy2djFbzWaF0k XBxCynKkFM5baAMnbMbjdxuuZbIWk6hEDlzAjEwQ3XQD4bv241lkTDCFSNahqrdQrDiCX5VBn3uB qLkICU2UmXSyh7Vaqzdkw7JrfDsrsm/qGKP8310Xfgx45e9bmXLEp34TeelpvNGCM/3aH5I1Q3/f CKpX7CXKEu9SGD+PCYuOhaUqNiFyOfyum5EltUS5KcSffhEefxivZxfm6cfdYBrbgB57CLP1OvTw gLPTeJuuQ7Z1kRs442ZnLl7sm//oDNaW8mAWbPxYImZMWTTzy09ibnkLlJY6HZm9JkpLOD1/3IVu OCyO2yQKvJLO+Fo3OUZkx4ePPUB0+lnMxq2Elltv51zFBSjOY8qrkdpec32oqXAzuVcaltWIqQ99 Gv7g9wmKF9HDl5HFO2MlvdWlpSLo7nTLA9LlyD/+C+RvvAfdUkGi4d54w7lWa/VGa1jO+mbRLlaB bUWLpugoAXHZ4XEIA5fjSPefgHFaNLbi9VfD7na8RGx0VtYEXfldp76rnj1dmEV61sNniQoWemdT ZBpjDVJ2NWa5GxsXL5xgUysNB/Y4SYK8772YXTvR/+7fEnS2IkcGERUN+LtuIv/o35K8+/2O+mln U8HhJ0m9+5NEc+MEh59yAlVn5WloI3zpSeTGLbE63xqmfQXLtmGUIO2HgHN+x3MqdzK0yw6r0K+p Q63rQHdtRA88b0UaeN3bCI4/5zaMYsN2ooUxpA08tV7E8Oqftxore1q0corKOswnPoU48TUiyzsb HieYesKFySbf//MIv4LwV9+FWCqgH/06cmSRoGoGHSzgl7WBZ5vnWq3VG6hhvVq2OSwuxBSCTHv8 NTubmZ1yaciuqf2ESl53awyxGx8k7D+B17Ud0pbrHl09qZhXr0X2iBiNDSLSaVR1nHptt3POMG2b rfDdKcn+3kkgKhpsUI8TeYr2NuSHfgk1aYmfrSSbPoCeuOJEoZYLn+ja7agJpvcU3q6DFP74t5AN bc7iY5uIJYqq3TfG/2Z2ORasDl9BdG+Ko76kQq8ux0N6m6KjlFPTW2uRVbDrco1IV6I27iNa6UfP TLjlgGzpIPc3f0Dy534hfpyRJlqcRtpQWLvhtbKO5WmEHcbXNRFtbIL+JZhbJZw9HNtwQh8dLaDJ YoJ5dE8bNCeIVi+BnMQ03/8Tez7X6qejrq2GZa+BqRRmfgxT1uw2hU77JC1e14aVxoPun8gjuSrE NM896eilunISWZbALMw7/rsLXXiF2GBPTy32JGTipJpMRaw+dwnPV5uuRdfZJBlbFgIxOwNNdukg 8d/xIcwjf0t4/gSiJI1emMTffgBv2w3kH/lvJHbvgGCjM0qLVAo92OcgeNawra3uy15jyyqRVoT5 2D9Bc4sL2LCP0b/hTTEu2X0z5qpFZwm5fhPBwFn8sq2O5eXSqccuojo2oKfHrSsdb8t+vMYd7nuw QRx6tN89B1Z7ZTE8DnWcsRjpJIm2ewjzJwlHn6XYf4TEnltgNcCrb0dl2glSx/DadlHsewRV2eVO qGui0bV6gzcs3AxGGUs7uIpIQWKiq6LM16HUDTcTHHsYvXwZMZNCzi5DXQtYRblV6LtMQUs6UC5B x1gzt1WV2/mSjXZX8n8gEpiVWUiqWFy+avlazviCqKtAj49jzpwm8Yu/4WQJqfd9AooaecsNBH/3 ZwirILciz1QaPTWKqmpyg/vImqpbuwn8IrIyTvtRTR0uIFZ51t8YxABCveSCH+zpy9uwM7bRZItO 5+VtPuCamrsCJlJ4G3c7M7Oem3b6L9W1g2jIBk8kETUNyGeeQbz5XucfFPZzpaoMr20TsqEBtWsP yhrB/YQb5PtVm4mWp5BVbQRLT8ZuhqtQwrVaqzduw7IDXUvMfEVMapOY1crr9nDEZqvm9tAj55Bz KzA+RnThGWT3AafwtkA+a/51G0D3BrRyjZQbvDvYXx50dj6eRb3yd9rNYxShg0VEOuEal+reSth7 hNRbP4q+6W5EKkk4dQqRT6PHhmId18MPoWww6rvfC5lKR/TU+WW8tm6iS8cIL5+meP5l/NJS/Prm GJljI8CqS1yDdadVTyNTlbF/0IL5hKB46jkSe9+MtnMrezK0EEMbNmuvulcuxrQHq7eyc7dUuYMa WhCjsGTUqmo329LTA8jlRURDB3o2F2c8Xm3UNv3akiZ0fpTw0mFMzQKmmHXhHKrU6rrWaq3eqA3L 1n83WDf2EPN6PRYh8Oo2IGQJ0QP/iBm9QtS+jWSw252KZMl3gkrdhpOrqJlECdHKJVTazrS+M6x3 8gJn4fEwq/MIP1Z6q+5t7qqlc8uwkiWaHUeWNaKf/iairZ3wHz+P3z9EtPcG5IbtBBePo2fHiKwn cGEO1bKe8EqvQ+MkDtzl9FjR1AgiSMck1WKApSPLsmZHiLAGZCvctQN4G8KhGtvQR59xzcWzLDAE 0dGnkVaNbrMH3aA+QrbERFTV0QP3WmGt9TwWiIYGEOfPIyYm8N72ZrSwEWZDqJJWVJWdR7qLJTRl Ys9hftwZx9dqrd74DcsOi1/9vYmFj69nWRxyqpwwu+T0VeKBI5iPHIyDSjvScWqyi7i3jzv+ZRuT PT1Yg69mAWlsOrVGr84hSiOkZ5HHCfc+tjgWKzwVlRXosUGCYy9gZsZI3vdhl5vIQC/q9DkCK8a8 bg/iwQdcNGG0pQfv4Fsw//AFopkJJAqzvOIG9tHgBURFNTrIoRISkapEWFNzdplovh+T7UUWbUz8 bkypxiwukPCrnd3HbjftxjG8cIJEUwciMI6rZWPRrCncnpwsrcIyr9zjX14gPHec9Pt/ldA22IEp dGOpg/sJUeU2gkKmMQnh0ogs8VQXrGJ/+fV9XtfqDVfXZsNy858gdvN79oX/4/ES/jAlyqtJfuw3 iPp7CS4+Sdh71Ak6dW4KVdWFrLe8KBXPd7wyTJB110VdtKnIFk9sr7WRi7L3yu1VzHOUB8d1jyw9 YREjE0RqisT+W5EN69Grs6i3vRczYpvYIRL/55+jhkcwZ08hH3gQ+Z73E3auQzz/DCwu4S0VkO95 D7m//K94e251CdP+/Ao6O4ew1NLKDKY4i5aLRCe/jRRN+Bv3E8ydJbHxrZiVrEMgi9vvwgQFUvd9 NMbUWCBgIUfx5W854ayNInNNLGW/Xw9yORIvHce8K0uYn0FUlhGtniHV8k6CpRddErbfdIP7mQiv EpGoRebG3El0rdbqjd+wbLkh9jXGSyotc9dV/6b3kX/qEZIDA8j3fhyzPOwYU84WY2UFdg5n5zc6 RCZqYs2TtFu1BVTd+u9sx1yQRBGzvIwsqQApiKx0wwa5RhHh0UN4+95EceQS6sOfQPVsI5gdpxBN 4zdl8E4fI9zYjJqfRU3NoW+5nWDsEsKalO1Gb90mjIUDLnZj7PzJIrr8Urx0N161wjTUo1cW8Ttv cwZq09SMePCriLe8A1luPZSRa0hOKb84hx65SNTRjMpYpX3OXTftY7bBrpEFSPz6vyaxmsf83n9A T16kMP9NVH0HUd8AXtlWzNwMevUK0s65ViacPWet1uqnpGH9BJIpftiS0s1u8oOjeJft/GgVVqw2 qQNTXIqRwY6hvgqe9R1+R7NlCQnua8qOgsL4ZGKH9SqFKLdXwzgc1a+ydNEcwZFnYgzzwiLejbcR PvJVRym1sy27uQsq05j2BmRru6M66O52vHe/F33yBZidRja2O2+ieM+HnMdYWTOzdQvMzGLml1yO orTImE1ViNIyJwI1VnT60V/6jprdzseEDVOtdtIMZa+MY+PI2/dBIAiOPO3Sm/X8JLKqAf+fvkn+ pi64dJlo6RysrBJefhj15hspPPZXsR6tu4ZodRAur6A22W3wWq3VT0PDulZLeaTaWwg/+Wvo00eJ jj6P2LLXcdpthZO9qAqrybJSjFdQOQJZWRfz4bMToBPfk4D9qkLdDrCFihnyj38Ts30bYmEWMimn sjfFRceTL/m1z5L/zQ8htm4hecv9rPzd52MJgdWJrt/gpmjWM+jIpXZWbikSTZ3ummc3e96WvS6D 0aVb956Brdtj/rujSiShpNQhbBz5wcL+7IawpJTk//LbFJ78auySkgHGFAjPHyOcOYVcncYLi6i+ CcIv/x1y60ZMLiSyDP+ndJyZuKMV2V8EnaNYs53ysjWV+1r9cLXWsP5nyvPwrIp9fBLODkHPHseC chQFG8Jauoj0K783pdlZWkJkutZB9WyZ4jIikYnFoIvThOPnEPXlhCdeQl23A9HSimxqdZouccs9 5P/2T0iNrSJvexclooawtZng2HMk7nw30aEn3fbPSI1nkgijKD7xFVJv/wX0gqUvrHcnJqvXsh5D ayXSh55Cn3gZ9ZFfgS27YjihNUcvnkd51ZiFVSdpsFotpysTgsS+OzGWT1ZcwVu/jWisD2/HQaLF gNz0CgxfRO/sQIpVEo+ewJMRhc4ilHux3sxX6Pl5Mm03oX7M2KC1+umrtYb1P1uJFOJ9H8E8+WEW JgtU1s3Egarzg3g1DQj/u0CEV8vKINzgWcZYHWfVcSesgOIL38AkDF7p9SS23uMG0nb+4zRQwSxR tg/95KPog2+j+Nd/SPoTn8HbvIXl3/tF0h/8NMGFE5jjzyHa1iMOvBXZ0YUYOI2ZmcLr3OTmUHpy JAb4WWGr5cSvTOMNXoHZWcTSItHcpOPA64lBZL3FKmddmo8VkFqtlZM6hMvkBi5RUhREuUlU5yYo CoJ8hGrvIu9NI5IrlPg3IE9/Ca+zEz08Q6HeR/aXQHYZfbkP/y2br81r/1pd07XWsH7U+vXfZn7Y UPqXf4GZ68Ns64a6XZhUgPAkxr4po4Jju9vtoUtqtlYZKZ1q3WqbHAliUzsqUE4zJbwKhKm8GlFf IJq8RPTSEVINXegbdyNPnkaXlxBdPuFU61Ze4JfVI+rXu8xFzp8jDFfxR2fhjhr04gQmFzihq+XB W4aWHbarZDl85ncQ19+MdhDAEvTSDLKh3cH7bNqOau+O0TrLizA/6058Sp9EtO9CjhqiC+eIlq44 4F/yM58k/PzH4NHjFBePYWENQbkNo0ig/EaS+99LcOYl9Nw4VF7NhXz9FHZr9QastYb1I5aoqaM9 P4r37SeJrJBzeQ7zpvvBIl7KUk5wqiO7zi+Nh+xe0mmmlBvOZ9HhvCMu6MlJpyCXIuXCInJ/9V9J vf2jyHQDZnEFrkwRvefNMDmNqGtGbN+BzM5RssnKBYqYs+cwjXWI++5D/9mfYlrfT3FhmMS5U8g9 N2HyU8jqOpAR4eQg3tgC3P2OOLreUifGBtxpTIs8MrBhr2dds3LDd+ubtLiYlXmUWodXso5oYTQ+ Ab74PNoy+DNFB/fzbriXwqGL6FSEWKjEzOcR66piYmmkSN34Tsz+t8UKd+sM+C4G/Vqt1Q+qtVfL j1qpFColiDKlyIEVol37Mb3nEOt2uEAKd+1TabcNdGk0+SUIbBRWEunmQtaHaKkPjcjSSsxQP9oU Sd79LoQN7VlewkxPoHbvRtocw28/gtq6FxPkkaUNsfnaDrTXdaOefJxgfRfq7HlMZSMqXQ+2kTY2 4e86GAdYVNWhcoLIM4hjL2Oa6olcEGyBaLwPuWcnRAlUWRWFx75M4qZ7wKrdK2udzMFuC4XOIqua KeKTsEystm70hcPowYuwrgn93h5UsZrckcuY6XlEYhEmLhB9a4jUmz+IKitB6rUA1bX64WutYf2o lS5B1LbAF/4R8f/+IXLjDoLFs3jhKlhsspMvhAQLZ1CqmWjyMqquM8bOvBJ+agyqqpVwuRdRaXlW gsBGuZd3IeprkZWt6NVRRLoiTsepqnfQPtesrK5+Yghho8I8gehsxzMJIt/mBTYRTFxCgWb8tAAA IABJREFUH38Wf9teh3m2ItZguA+1ZTf5r32BRHUT6iOfxlSXIypvdaZsVb4eU9VBIreC8tLI+jbn NrCbR2ORyoFF5kTIRAZ9w/UULx/Bq6ol0vMuHdrfvAcx42OeO09itQitKYItVZi5ZahKoy8fwxy8 m2h5CK/89QvW/Zkvo+PQ2zdQ1Npaw/pRy3KoPIkqL8f8b79L7pEH8fvHKT78DyTu/7A7WZnCMqq0 A6lKEeu2uQxDe6qyKGIrjnWKfouoKWlHlPmYYJnkwfcRzo2CKKJauhCyCZEsRe7fj2rscTmGqIho ahB98jCyv58gIzDTFwk/+nOOPx9s24BqbkJfOkbhya/gr9/qbDv+7W939hvv5z6BOncePTWOKVGI 1haYs012NeZ3ZcqRybI4g/EVlv3qIhbMLhN1iPw8uv8CYmwCU1mLTFYQiWVkeQvB9HMkxydJ9RfR +7djenzU517Gy5wnSIxQGH8YseyvNazXq1FFKxQmHiVcOoeJsiQa78Wv2B5nbqqSmDD7qtfz2pkz rjWsH7UsadRGwdtg1tMX0P/3nyHCQfSdgmDkebyqLRhlCZ2CKMqhUnFyjc5bUF711TmOcix2Y09l IokZn4LKGmRpkvD8UZD1iPXdmLlJpMXLPP8Q4ua3ogsz6KUppGXOt7TihTXoSTCHniVaWca76x1E 88cJp0dI+gnCvjOOkqCLWbxt+xwQUPhl6OU5dL6AbKl2cWDhmRcdYsa//hbMpTMwP+O0YaK80jWu cO6Uix4TyeoYfVPXTHDlBWTUjfArkc++jCiZQ7RUwuAC9F0kOWs1Xhl48iHCTx9Ez70AE6skut6M SKwFUfz4y7jNc7Bw3Hk4w5XLBPNHrRsfQYrC2EOY2VFEZROJugMI/BiTbT9IPfv8yGtiq7vWsH7U uqoIt0bh1OwM6flBdJAlmJig+MRfI+//FLKkC52bQCWq4j/jYsHiLZkOljHhkiOXuhdGMSK80ocp nMbbuodoaAjSRcxoH7KmFQYuIa7rQR4/hE7lEG09MDmH9JMEjaUYTxOYeZI797iTW/75BxAVVej5 WURFKcVDTyLXrUOt60LVNBLVVCDKS/EamjEsgneVQ+YnHTbHPP8C/M3fYz7wXpe2Y4mkyiZFW6Hr qRPocyeQ1+9FiirCbz2E3H0d4dIkLM4SbKxFzUTozgzhW3bAqV78hW6ikiJCJ9CJRYoDT5LoufsN dS15I5Wx1q/IfkjNE8y+QHHu0NXUF2t9S8NqgUTZ9ehwEu/MGOEOiSlfgqRB2IgjPxl/oFpxc/J7 U65ej1prWK9B2ROGww7X1GK2bEFc6EWu20hy3kaxZ5DSpjI3uKO2kze4E5XNZLRR86VEE+cRlm5Q wEkY5IYNhMNHCU49gX9yEHPXFmRjIzKTITx5GD19EfX8KOb2bZiLWcTpQeRtd0CFT/DQX+JNzCHK 0qiejXjbd7mDffHIw4jqGhJ33Ie34TpHmjDZOSJrr7nuFmcDcvz1pdPI9R2ITIN7Qevd1zuLDRMT qA07CXuPI63qfnIOGuswu3Y7o7osr4MX/gERKcLCPGytQ52cQfbPU9wzQVGVoborEI+cgVxnbAqf C9HNM5jcPKI0Pnmu1Y9QJmb163AZszxHaMbQS2OOmhFlh9DBvPvfnGBXSGSyCZ2ecSlVViOY65hA eopw9SK+vztuUp5FJlk0uDWivv611rBek5+ij7fjAPzev4fnnkZY2uczLxHcvhcxOUdU9JGV9S5c wwRLkKihOPcyibpbCKdfQNVuRKhSii99A9XeGV8zFxaJzp3Bq2kiChZRuoYoGEerHN6wHYD7eFvu oPDE3+EJH33sRcT+vcjBMZIr1jsdISyieNNeoskrmKoF9NQYXqedoflQVkP45c85JnyUnsej1l3N vMSm+Gr6SpTXDQegoQU1P4dIljiKqcMpG4GWRaLFAfzrb0c0pSnoVnThEjK5HlHVQLhekt05izda xPPaMMlZzHVtGLEa5ziWKXS4giFwCBrpWaz099JZ1+qHKB06dFA0eB69OIhOKWRdNZpFRwMhXHFB ti41yZrytc3RDDHWCeFVIeo7MTOjiBofnZt1p31Z0eT+aueTvQZqrWH9gLLx8bLsX5aRGCQkhW0d pMYXCJvLieoVWP760BDy1rehc5OuaSmvjOjiaUzFTvIv/zXpm34JKcrcjFO0taFH+xwKxuKSw/wU HNjgYsTEo0cQR0/Cx24nemsb0dnn8Hr2Yr7xFfTkAKrro6icD9W1ROOj+AfuIXHTWykefpTw/EnU hs1Eg1ecdsxv6EB8/kuYD30YL/NW9NgoYmYM2bnNzeRMYQ6RbnTRa2zahh4fojg+TGLLDQ5bTUUV 4aXjcRirZYQ1NhKmDKpYGf/36QVElCLcWYma0oiRKehogR01MP0iWJGsDeTwAoRf4nySweoVN/hd a1o/RBn7ohFOLmNPrWZhBS4NorZtRBBQnD6E17LZjRxCG04sfLzMFsJI40vbzKahRyGnI8JUDhpb EKWNiFDF22/3b4RX5TmvP+ZprWH9gBKl3yGK/qAyv/xrhG97P+G5xzEzMyhTB4mA4OgLRMEyastG vLbdbuCuOrcRLQ/gd99GtDSAKumGiiQi9JCZZljsR11nzc8eWPlAfhyeegD1gY+jMyHm/Emi0ydR y0eRJeWoph6iZx+HD30EacA/cKubM0XzV1xAReq9H6f4+INQk8CEK0RPPwSdNZj9W+MEawORyDqS vi5OIyyDzEovkOjFSZt0S7SySJSdcyZqu7m0OjOvfTeUl0BumZKDv0r09HPI7lbyC4+5791sqaO4 zsDqNCyFBOoURmYR5WkIJMW5wySq34RXvROjc+4643yYa/Uvq7lZKK9wJ97w+Esu/5KaBsh7yKSH Sq4jWhnBq9xIlB8nVXMQv3oPcu4KZmUKYyGL9llvbUHabbFRiIUCJlVEFC2tw8TZl682q9d3c7jW sH5Axdjjf1klMhX4mzLoTILC1z6Pf92N6CsX0VIhV1cIXngSr34bJr9AovY6Vi/+GYmKvXi1OzEm h6qox4R5gqNPY4rzqLoNmFaDV9FI8PQX4cCbMI1J9NwA+mgvKtNIOHma5P57CLxB6O+F3TdA9xbE rKWDjiOa6/G3HqDw1c+haltRzZ0U/+nrqPXXI//L59ALc0TnT6P7TiFv3k80ftE1JyOyRLkRVEmH A/hRkiFtr4IL827LaLn1Ip9Fltc6ESyyDDk1SzAyhp6YhC4RX/ss934hh3l5AlYWMV2lcb6Itp7G JceXDxaOIMvaY9LsWjDFv6jM6hxcuYzYcn3soPB9/A37ia6cR/VsJ9LjRBN96MQsXqbH5WV6pd1I v8URclVVN9pLEeVPEy6eI5EpQZW2oZcnCS4cI7HlRvTEsHM76Gj1uxhu8Ynu9aq1hvUal92s2SfV u+5mx6QKXnzCnT4oK0H3HodcFpnpcHMkT3YRZYdJJG9Fr84g29chZBnq+u1IewoppokunEFU1KOy 5Zh7b4GpLKb3GGZ6DmPxB8vLROeOwZnTmKoKEpuuc1tK0XsBBvoQn/6Mgwd6m/Y5zpZMNxIcft6F vSYzt2D6+whOPYM414dJp5A9Ox233c6ZHG7G+hlXso6JZblaZDKoZH3Mpk/Uu3AKWdfkrg1h7yG8 7p0EZ55FLpdiLAosqsJEIyQO3oXuHyOaW3GwQL06hagpxctspDj3khOlepW7Yw3QWv3ACo49j9fY DrklRDLmmYmKSkRNBcYzqKR9jZUj1AQyUY7IlZEseTPhuRMEpS+4IF6dWUUXbRBwLWZ5Hp1bQrVu x+vYRbQwiN+2Ix7O29niqy/w11fasNawfgwlzpxG5Bex4CgvXUHyPZ+meOkI/t57iBamEOlqjJQk u9+C1ll3RZPlre7PhvNnCSfOodq3EeVHEHUNmKUZzK7N+JWbKZ74OmIhh9e20aFk/LI6B97zxicJ 6itjUKAdkC8vw/t/nmjmMsoy5z27mi4QnTqCv3MfXmk50cA5olMvoXKBSwQyX/0K4ucbMNJHlxTc qY8Sq8JvivlYqbTDw5hcFn35PHS0x0r9XA5tVlEbd+G178DkVinMPY2U7YgrEdFyEd02idzRAIVy 9MmL+LcfdMGx4dJFlFdPcfql+NO/cveP4yn56ShtY9qsOyKBV9uKqGlGj4/GlzPLNguyyJpmtwRi NecSkOTMHF5NB6LVejkN/pYEJruCqK8jWjmCNBknZBY6g2xqRmbq3HJF2OfZMiW5tmqtYf0YyqmF B4YIOk6hpqYwj3wNOprc5k/t6XZpNTpcRCQqkZ4NsVDuVzh1hmh6AN1/CSaz7upIeRJV1oKsXk9x 8jCUpaC6GuMnkaVlBKkrJEurCO+61QH3ouwsam6WsL4K5SdQpRb8l3WaLm2Fo6vLJD/wMaKBAcLn H0GqLP5cnnBlGWmjwyw2eWYMYUNYy2uJwgl0psJtN1U65SYY4ehxEpv3u0RpCwe0EWLB6adj5lZ+ FdW+gZKerRTPfMuhkK3Kn3yK0Iwj6kpQqVYcrzlrdRwF52O0Ilgb8GoxNvYNuVbfp6TFblsOvg8t HS5XQDa1uQ89O3KwGjpZ0Yg2+fi1Vr8+vrJrGxoy7xKehCXPCht+m8Gv2EFx8ik341JtG9DFCbyk TUyygbv/fPCLc2a8Trq5tYb1Y6hgcRzWNzm9k0YSnD4ES9PIVBnR6AXE6CC6qQrjjWASPirThHXr RMEEXvV65LYSZMV6wtMvx2pxTxLNXobpGcLnn8W76U6ixCyIDKI0Q2gH4bX1iNIKWF2hMDOAqi7B DPWR2HajG54HFw45j6Jp9VE2KKMsCXUZvPlSTEuAnJyE3tOYl59FHjtM0NKA+NC/RiaqnHkbsRRn LhZzbsgfWLV7qgnZ0OxmXo7cUFaBXl50TZH6GkRZKWLWR4gUlCZIpm8imDmJlvOYo9NE9RcxlQbh lTuBYnH1HH7wJpS3Bvb7vmU02oqMrSzFsstsuG1LNyZrhZ6eGw/olYX4597QiJ4edjAMPW1ZbQGR zXlbyCPqKxGpCtd4vKpt+M0lrqmZFZv8FKJXF5CZ2n/2Mfwwc93XutYa1mtc5thLeB2bMfW1qEQl auftqPXb0JfPoTPaxckXTz5BcGkFb+tNzmysFwYRVCKqK4hG+/HX7yU68jje5p1ETCNMguI3HyBx cQTZ3ogO5iDIoqd63axMnz/hOO7GXgXGJ0iYUkRjD+LcGfTn/4IwkyA40Exq0/0EuhepKjAlGtlQ i1YGqVco3rGZhDBIPPTwMPR0QjKBTkbI4qrLM3TD3VyEatiIIY+xQ/SVeUSqHFnWgF4cRyTLkS3t BOFZVNsWZKoe8gVoyUDRQ1wICS8PIrfUY06NY1ZzrNa2s1zdSt1GFUMB02sN6/u+tnSeaOESMpNE 5IrIoACFbHwiykZgPxCHLyOqyjG5Aqq2IW5Ul59FVFjSrU0Fb4CFHKLBph6Vg5dEJmuIRvocl9/m DViR6D97ilqbYf0UlQ2XaGqF8lLM0CXo78N0r0dWtaCDYyjTQHTxJN67/g2e3RL7kuDlpygsjpJq 34CUdYRBQJi9gtx3E2Hvk/jrDrL6j/87YnIa097kYr/si9JcvOzSn4MXHkXWN0FjMxRWMYFNlF7A P3KY6LGvEdVXUTgzSNg/SrKyF/Wud2IOLLnhhCpZR5g5C/NZtxgIK5L4996BrkngX7cfXCq1QIpk rOSvrAX3Zlh0XC9tB7329GXX3mVVSJV0plq7Kk803ohOTlCcOYzfuQ+9MIMOF9zPQpSfhIvLzkSt C+UMl251aB4RzpHMPIxX2oxM2ti0tfruMo5Q62OOH0Pu2AOTo9B7HlFe4cJ07dVcLEyi84vuamiv jjaLUrZ3uQ+VaOAsXs92it9+kOLygvOK6gH7OprD2MVQdaN7Xu2S5zvyhWur1k5Yr1HZwTnGh5IU 9F9C5YqYrT2YQt558OjocCx3TRHOHUXu3kI0fh5WZxgZzdDdCkHvs5hhe0rxiaZnMUtFwt6zMJpF NDQTSknC8wkv9zoCqJkcdNdMmxno77+L8OyLGGeTKYHHHyao9TDLEyRrS8mc60NEEt3VgW6qR3Z3 IlIBic13EL34HJ5dXy8do9j7vONwhcsXkV47UpSiU4Jw+DCquJPIm0ZGFS6WTNV2xNcRp4oXyFQp JlLI0iqKsy8iQonfdhPR5TOo2g1E4wOoji68aDcm0IgVg+g7z8YrDyI7GzCBpNB7iUhqyrd/5poQ Kl5LJezyZGw+9nROjiJVAixJw+qwqqvg0LMoG/qxextYn/rlU3FWppdyc0Ub/RaefhE9P42saSQ4 9m1U6zpkfQtm0l4f/auShXjUbl+7LrruGqq1hvUalXtzhZooO4/8hy/Br/ymmymZmXF3zJb1ne6I LVQ50XI/Ye/LmMUllF9PQzhC1DuHt/8uRN+DRC8fo9h3mvQv/zvM9DRe1/VuQxReOEzwV3/qrpHW 5+Vtv4nw1CFUlSAcOu1eiGrDNkxlBVFwhGyyllRlEj0VYbq7YXwKrVYww73IxjYib5xi/wN4g8t4 hW2EhVnExSLy8ijmoVHMti2EGzoQV0bxbn6HazyyqQnZXIfJzsJEnuKp55BV1Q5HYreJkgRRaRFV 0kYUXIntQC27XOqPat1AuNCLsPac53qdKFHU1UD/IlLXEY1cYWGhhmKQpbTtCl6NHQCv1auvMeEh q9vRs8/B4X64/lbkhq3g+4hcFrJZ9MgAwoo9S8rRdm5aUk7h0COU/uou/OtvpXj88Ti2zYqC8xGy tiV+3TStIxofdCcwW26TaJvhNVZrDeu1Kjvd9EHZ69+v/68IC8uzix1LFQ3sCSTpZAUiUYrXvA2Z rnDJ0FJWUrHyHPqZR+hbaaC05Xra9veg7ngHftcNsC7ELC1ReOIfXMOLitNOjKk6e4gun3bXUD07 hSjkHFzPrM7i33Yz+uAJfFWJX1eBPHQUeeBWzPGXUSsS+Sd/SXjvNNHsAKLJc9cxRlYQW1owZ8/i vf+TMDwELzxD2JpDL+UI//iz6J0bSaTuAX8Ok5/FZDJ46zdD2iM8c5JIj5DY+GbkyxeIyj1EucJr 2YRq7iK4+CLh2DGn27KsLReGYa+ZXY1OzhAtDCBb26hWC/DSoxTLS/De+VtrNp3vqqgwDnUVMNmK nBqC1ay7asvKq+Ldm293J2ynWq+oxjMG/dKTeOs2oRdnHYFDbr0RpsfxOjY68a+1YdlwEtGxwT2X 7lSlVBzxdg3WWsN6rSuVRiQ8N7TUxUnEyeNwvg/uf5/DExcPPYBoq0OU16CzUwQPf4HE4T68XJ76 piG8ugoWn3qKsj0b0F/7G8yb9hAUToPJ4x28DfHlryDaN1I4dxGVm4G6Vpe242/ZSZjOI0yacPo8 6ra78C4eRd18N/LZk8jf+x2idR14eZDtnchTfXD0ECaRRm7Yhl46ghzrIzGdQ+wfQm/qQX7jQdQf /D3Rxz+OmFzBdO5Hjowhjveie5pR3dvh8UcwFRnUi0fI3pVAtW9FbGtDDI0gh+fQ65PoySlU12b0 1CAmbfBbdhAGw4h5aysRiJZmGE2gNuzG05Li8FcoXn6G1cn3UGv1RpaHv1bEOG0BAZjmdmTfZbTl 8S8tIrs2wdIi6p53okN7lbPykVLE7uud5srklsCrwIxccnMqB2Ms5l0orxP+um5gLTjXtvl8rWG9 BmWRMdoSFRJ1VxOc7dcsQriKaN06dKVEWSFp1kO0VWEyGlEo4tVsoFh3nrx/iuSlQRg8Q7opQ/FS L/NlZZQmFeLhB0henEa37caINGLfQeT5fhIXBjA7NyKW85jGckwqj5hfwsgJzIWLeJ33oTbuJho6 jVxcIWqqx+SL6JSPjhZRpycRC8uEd+3DVDeiFyUiAUW5gFm9DE+dwNu7HTE7jv/U8wTdLQ4iGE5c Rl85S7QwhPfkSyRfHiTqqEb5adJldxIMfZtU97sJwmOIdIJw5CR+2S700LQb0KtELXp0BOrz0FCG nllESI1ZXiHo+zZ+035kVSvaRo89+h/Ib7qT1PUfjN9kP+MlZYZwvDdGZEcWb6zQuWXM2ACJji5M bTVYt4KXQc+OIyor0SXrKM48i1hOkSy/09m0XrXWWFZWmMWMDRPlc6jm9bG74RqutYb1o5b1VoV2 FZxz2xkrenRXHjfXKkGUJhFkCEd6UakNjtueav1XhH1HKQ4cRaxvJPFLnyF48G8pq2pEDw3gt7Sg zz2HvvM9+DU1iOMnMM1F5EoeffQwsr7HvTCLMsSbXyTx0hlMIUlhSxPy0jzSbuT+6f+Bri7E1By6 7zTRO29FXl7AzE8R7mwjlalF9CUobutAhUl0rRWCFZw9w3K4VGsPZmMj4v6biU5fQdZWER5/BrVx E9Q14jVkIFwi3JFG5ouYTd3Ihx6DOjBNefTcDGLZQ3ZUEs70IYMSvE27Hc8rsiSIXDliRaHa7ezk Mlil/eQKxYEHEUvxY1F9QxQrnkENrMfvfpOb4fyslpkadXNMVpXzdpr5WYe1ttIT0dBCZGmhFsi3 OGNFDuiFCZRDWEWoxHonUHbDdhLOFub8oemS+PXbbPMvU9d8s7L1s/sKeA3LLCwgSzJoVYh57bac uM4gy9sQURq1cwvh6FlUogkRJdysgBVBYvftyEwNWPjf8DBmfNQqSCm978OY4QH8t7wX3bkJPwqQ zevRt93rrD35r38F8ZXPo+wbvaUZMTCGl1KY2+6GEydRX/xLzOg04U378Do34//F18j93LsRt96C LEuQXx+QWJhDnDqLPHUB/Zbb0F4WhkdRB9/mpA4ySBIuj1PMDuLlKzEPP0o0uhHZthnz4jGi1jTq /p9H/+H/gcrmERf68HN16IkrqIYewv5DeNNp8quT+AND6OkDbovqdV/nkqP17HHC4lFkRQ3kyzCp JahMx9z4pIDBIuHqBeZWvkRZOEdp91u/b0DtT30Vi46bH9b7mPFBl2IkO9Yjz18i6r8IN+zDzM5g El7MrZqfQ27chHjgYeS+GzCXsshtGxCZUrQdrFv7lLbARivqlZAudeEmb4Raa1g/arnwiAqMTewy EeHhBxE9u53B12E7/HRsSvWTeK1bCFOC4ugzRDODhH298d+xGiC3duHvu5Hocp/zIJr5aYe2CYfO YUprCLOC9MULyMYGQq+EsZcG6Tk7BJXlBDvaYO8B1ImzFJ99BCk0srmVcMcWx+IyFeXkPnA/proS tZJ1DS28+Q6KpfUk/RD9vg8gbejr+kqikXH00iiGCHP6+XhuklaYmSv4UUg0Pk5k5yH2E796J/LR xxDTeSjMEm3pJEgL9PNfJ3X7Rxw1QKoyEl//At78EsHiorOAyLI6ir1XkC0bUCKBNBWYygVMjfUl hpi2ChhdhfJGLpTvo35ujNTYU6wuS8r2voufpbL4bCtNoKYS0X8OKisc9iW6csVRY9m2Ez0z7qw3 oroaMT/jgIouHOXe+xxRw1u3GWqaMYVVvKbNDg9kpSg2TNcF69qTVmSzBa7af67hWmtYr0FZe000 fR6xtEz0rS8gTRa14QCyst0RNXHDzQTCeKjSRsJTzxFePoFs3oZZXIhZ7TIG2ZGUyOoOZG0rxT/6 93DcR+/aTrh0hWxmBeaq0d4O1h39Kua+u8kv5UiUpjDpJOa++xDpObexLKg03rY9zkZhMS5+lERH BUTnForRHMmSNOFHNhKkm1Cnp/H+/muwZydmYzeysRuzMosaWYDFBbLldaRvvgfz7IPIvgHMjm7C +nL8lQxMDGL0KqJ1C9EdPUi7Kh3qdz8L0Ih1XZjujeiNGlFSTXjxFH5NHSpdgV7Joxq2ER55Ns44 GAgwNR7e+l1Ek8fRVT4t3iRBcytCDjK9cgR/sJxkxx38rFQ4ewGvrMdd91TeixuX3bpePkOqzc6c DGbyijs5sbyIf/1NsVcQGTciK03wU0QrkzE9VHiYxQlkuY2Ks4N3u7lOYoqrV3MGru1aa1ivQbkn fGSEwvCXSeVroKITWdXhfHUWSWvZQ4FlpZsqzFIO2d6NnDEkNm9ApDIuBIJkkmjwMuQNZuQ00fMP wp5diILGXDiLSOfQJWWIxVVU7RC87RbE1Cr+vl2IE0dQDz6F2LUbs2cd2tordnUTlgm8YjmF2hL8 ilpkbpViYRx1283IJUXybIKgPUlhcZLUvt3I++9DfP6PiMIE/k0HMHIEMTWDP3gaI5OYPTdSDHLO KpQcjFA9OYK9neg2D6+khmh0HOGXEp3ppfjYC0Tr2wieexRv616i8WGHoFEtneS/8UX87u1O7Gq5 W2Imj+nO4JdsJxg4RHjmJfeJL+uylOcvoMvy6OVZKqvzFJcE3sp6VFnnNRU/9WOrgTki3/78BbpS YbxZvJECRSlQV86S2H4A2dSOqKhBlJah6lsdwshuf2MTuYayUmQgEQ5pKxDa/k5DWMRklymefB5V WYfq2YHIXNvwxLWG9RqVf8PdSPup1qoIypbwcpOEq6fxyreic+OEK+fwKnbitXUiC/WIuSlUY6fL JYzkdKxCX57FXDlPYtlDl/jI8kZkUaJu7EGvriCbWtDZUYRdZ+/dTeRXEl2+jL53H96ciq8Ls4sO b2x1X7o0Sbb3FKbK4FkQ3+YNBIk2otZOlFlCnRxANe8kX1LqOFXR2DnETTfhnTwPJ09jJqbddTLR ugU92utOg173HsKLp1H1nUTXtxAN9rnTYXjlKJFN5qlqQ48NEVbWw9y0s+zYwXC0OIUeuYBa2YDX tdnN+PTJlxBdXah12whOvUiYXMZb1wObi+j5RaKqSfyGzYiqSvTpy+j8NFQnyQ1/mdLuX/n/JQr8 tJRRoZN/WPIGG5vQ0QImt0J6IUBWVqGX5twHpp6fgY4MhixR7wVksz2lt7g5Vby2VlezBm0e5qLD V5MrYIIcyTe9PR64XwMxXj+o1hrWa1VKIbffjHnk67C0jNnb41C09ggerV5Cihq9FXKdAAAgAElE QVSkX+M0RWZ2CnX4AuJygN60ASNXQJbib92HfukY3HEP/LfP4b3pfheXxfpupN39pCuQ2TZ03kB2 DmHlCvl5/OFKoijAmBVHb5CVPYjcEl7TTka+fZjqTAIx20tYlPhegJorwF990Q3lxUN/T8mODXif +c+EE/3kL76E0iuIiWESH/sdgpGTFJ5+BHlmCLHOoncl6ft+ATUxS0H0YfIrqLoq/HMR3uCqO9Xp DW3ovhFMIcCvt8rscUSt3Sw2uQ1qcOQ5kre9PU6ythvVVAiz82h/CfwE0dkzJN50H35dFaI9g8kF mK5ZZL92WF/SVei8fRP/dDcsm8ocNczBwCw6LRBBbImiWiOqylg1mrSJ8DLVyHAVUxR2KYhpEhQv PYY/fwOeJZLa146NZbt6IpUVLYRTJ/BbDl79mol9im+AAJC1hvUallUHm3XtyMIEMrJqbuvHWnbq Y62XCQaex3S+BYYvIGs6He1ANjRiThwjHDqMOfwy/tvfixgfd4nMZqTfRWCZcAa53tIfyxClpcj6 bsTyPAweJVnRhprNEm3fhilVzhBtpmcRHeuIcvPUbOlGtq2Dhlb06FGMyCGDWQr7tqGWrqBu+E13 WjKrqw5b4i+soqvr8Tbvc1TLaHYi5ijZoNXHTiAP3kbhq39G8j2/gh95BPUFx6P3bqwi6NmIypTC 5XOE/jxiawd6YtSJFe0rzd/9Zidj8PffibbzvuUx93MSqTLCS6dIvO2d7lrjjy1hLl/Ea3gLhd5v Ya7MYObmieorUCqFKPpOCqEy9lr401vR0jwiTBM1lSPbGp0RPbp0DrVhu0u5KU9VUTxh6bG16MoW jD+DLKlB0oppDxDldZhg1bHyXxHfWreEXlpwpy2zPIsoqURHyxDlIVlzzedDrjWs17jk7oOIxXmi whgmO4/Oj6LKNqCSjSzqFaZ+/0/o+dhbkR+8xQ080Qa1SRG+8DhFnUdl70GlSuLG8p8/iykvI/zk hzF262j1MzKBaW1Ez68QXVdC4pkZt5Hk2GGK4RiyYxOqvYtoYhiWV5Aox6paPnuckrI0IlVFOG4z BveSqH0HMtMAqSQ6PwRBRPK+96OPHCcyIf51Bwj/7r8QjfTjV2ZIzGaZ+9YJrOvIbNpN/tIR1JJG 3rAXXVaJn3or5sXnMcEwrN/pUCbBxUcckdTakorPfg3Z0ogsacHbsiv+XmyDXBh3BFWkh2rqRs8t opOlhIvDjmBBopTQW8CMz6IT08jWLXD2EKbn1tgQ/FNakU0U143o5nKCmhtIjw0QnXwJueM2VLLW XeH8ylpnq5H5HLK0xS13rI/TUh2ksmhj628dQqYsOsbmDJY72YzLEYhW7VjfCZ8tClvoosNpX8u1 1rBe65LKGX3likSUlBD5FQRzL1JcMJyd28SODZUUSptJZZdjLIjb3HWiDrwZpSRq4/YY3bLnRqLz 59C334Rat9t5EHV2BOGXu7mXPZUoUU945SH8uQTe0iLiU//WDVplVR3hpdPo1TxhaTXj46uI1SQl g4dRogaRKcGvbkM2dmKKK+5Nb4IgblzWX3bsCNIGqC4uIjNN0CyJghUKDSWkO0oJrUK690kKySrK r38LJr0EZa2QrkSWVaFeHkG9dROqugNjWWCzEzFN1Oqr5lf/v/beO8ay677z/Jxz7r0v1Huvcg5d XdXdVd3s3M0mm6SYgyTSoiXZ5siSbRg2ZjCzszsDLWaAAWYXO8Ds/qG1d2fWC+zMrtOMvWsbCpZk RUskxdxsds65cq5XuV66956zOOe1ki3JlixSbPF9IYJNgnpVXf3u7/3CNyC25Aivv44/cC+UQsTk JInz14kGdqFvjhE9dDdefw9iexvhxRHiq+cQd2fx15NE6/MEv/sF/KtL6PufQA3ex88bqgXEEMfX Cb08ieYjzK0LejpaiA+3I1ZOoTqedgt0Sx2xsHusb8N+sKm6HsdkjwrWhSHjlBg2WdwWukhfQy9N gYyBArKppUrKrY2E72FuVqbRsZPdVSe3FymWGVqfYOrwR2lZWCS1rQ8TFdFLo9DQT/DBjxGfeJny uc8ilwWmJYt5+ghyW6/zVxc2aDTdg64suTdXfPkaRm4iP/5xzH/6HPyzf+EsQzh+DJ2dwLPv+Ssj yOHtdDYUkH0tmLo9iPPXUM7r6jZR0Jq1CRvbtQXT0VFNZE5J1EaJ2NITEhlkLiRanCZqT5OYmEOt bLLQegWztQ3dYPC3fQwRtDrahOzbQrGvgeSe51B2KWwJo3MTePc/SDx9FbEaoS9eRC/nqdyccWOO 17vNEVyt2Zx59ZvQ21kV5G5NYSYm0ZUEXtgGG4qyt4WgYwaKFfxTl8EWvTtgWfz3hU1LQiWIN0cR 5UnS9XehgjQdjUlkkMXf8hjSepD9nbB/rqaqZ7WSqMy224njJbeItxY11r+dSuTCSVzndQf8HGsd 1tsFG26pJHJmk7hhk6D5ILlghKaGDJ7fSHnhW/iNhxB1rQiRcH5a0eIo4chJmJpHPfC+arrzvicQ qYyT9JRnv4qn9iHa0shMJ4Y1ooUbeLb4XDqPsOz3vn50rhpE4K5Iv/9/Ed+7G3/fw25PZe5/EDW8 uyrvsHsLG05h37xBGioCKdOYA/c7y1w5uA25uohWHmaqAq0BZlkj7nmU091PsLUNGpdPoedX8QZ6 0OsLROVxxI4hR80QjY+jT7yOd+UKjM6TOHSAUK8ThxGyvQ/OnkbX18GO/SR++R9TfvnzCGvqF5aR XYPEXzuFiDKoKA9rm8Qzk6ilkMreLGJ8AfPqn+I9+SSqvpc7H4Z4c4y4NI3fcIDYqguS2/BUL6gU Sd8Gz3qo5nvRlRWMHeF+aIGpLtFd4k2yE7O+hlARcTwDJRANmWrRs/75iTr05gImnUJYm+V3Od79 3+EdDNnSBbZDSScxX/5LEnbXtLfBWa+wnKdU+EtSvf/IjUrmxHHUW29hhoaJUmlkUA/CvumcIMxJ emLdCvk8ZvxN1Csvo9ubCI7cgzkQor7wZeKPPEt0ZAt+MIj++ufQQ32oL/v4E/OoxRchnUI/9jiy tbdaUJ1oe9k5PFgv8HjumiOtxl4RuX03YnYGv2sb8cYy5tGPowIfs/lFosN7OVK/QXliHHVoJyoZ UHnly0RXXsMrxtSdvYDo2oZ43z8ieO6fEv5v/wPBepn4jWOYrlaSv/yboDxK1ofJkkHKMZX/+O8Q MxNU2nIE9zyIsJq3XDMEBfT5ScRYCSmTJGx4hepGNy9gCpuEZ/5v0of/W2Sddcm8U2GINm647tnL 7qQy9ybR2jLJ7mG3MiC2+6iq5Mu5gJQXUNa8zz2+P4CLZq2sPasT1HipXrS3hjZF9PoMnulApnow UYXKma8SHH7EWdS4SLDEu1/29M4ULCuwtES1O2BG/qkjm6smKx95H+bGNbSKEVPLqOxW/GbLVA4g kMgr1xD9+xGZHEYvVWvV3rusj3F1OW3dCioR3JhFvnICcfE84uj9iJYtxINDxL/ZQTx/ESN7MZ/+ f+09CZVrI/7FD+FdugpPPIO+eZLo6lloaETWtxEXptDFRZTfhZ64Vt2nGR8z3EdYuUJgGe9xAuY8 vMAgW9swn+ig/MJnOBuGDDJFPB06Vn68OIJ31/2It17BLM+6HR7j4/h77qE01E/51rhL5VEHj1J5 6ctOyBs886vokatEK6uIrhai0rwLslAtvcjGTjeSmqV1VM8Q0eQVZEMbOrWCTObQ/R1oUYLjr1Eg IrHvOTw79twBbO2/DYFKdeOl+92awKbY6Kji4rhj1vGU9Va7nREZrrliZP9uKTNC/nAXC+eNJZTz bLd+8KLJh8K6c36NLh9DZHOOluL3W+rDu38cfMcKlk36MJUlVN1W3rPo6EJ0dLngAGHpQ0vTyPE8 ceMajN5CKA/x6FMINlGFJozVgKX7qhYg7lN1EdHUiVi6jFi1VjWbiIsX4bVXUD09jkjqnz1PJVdC 3Zwh/pf/AlMqYbZuId7SC+srmMMHUd3WuC3txgG3a/MyiI0QVA6ZFM7lWVVaEWmfuFhEFMuOA2Zs 0k6QqAayXrvKgfExUjt3uOueEGm8bQegpQ51phl5bgKeOQw2PSflk9x+P2ZTIu95BPnEExT+8n+F iRXMm19HzC6jG9LIXY9jrp+HorWaVkSjl503U3zjBqq9x0ma9PQ01INeW0Q0JzGjBehtITpzDFQd 8sCvo+6kgmXsp1L1Efx2gKyOFxEpD1laJFy5TNB2FGOsz5lyXZG5dJq42xaXBKquH5W23u3i9uuY 282B/bv94zVu3LfXwXgzj6zELmQ1GjtBeOIVEo/9CrKu9Y5qJLx3yj7Y1Py5qz8Lv/qJKOvbYfy0 c0TgKy/Atavw1DOIS5dRh+9G37jqmO+W4WxkhEw0OScIffcBTNs2zKsvYPbsgdk55M1bSJOEk2cJ 1jcx//53Ee3tmHNvIXZtQ1mZUH7GERHRa5iNJXRFg6cx5VVk7w47lBD785j584hsMzpeQy+N43Xe hQ6Lzr1BTE0j/Vv4S2VyxkcXSwjLkp+/Vj2lXxjDzI+5UTVuTCPnJ5Cf+TOC48cIWyVReh2ufhPt L6GafLyTE8iiRNvoqdRVyHUSlVYof+sLzlHVhln4wwdc/Ho8P+keQpXbgTarmJvzyGQ9jEtkTx3h xJt4tkO1WY9+jp81bL6iiVYI82+5D5yg9UGEtp1yBRk0Vf+jv1EobGGxKgXXPaV9iDeI1i4iU73g x+ilSZRsIFbWC8uSQatXZjvay6DZjYC3X8n9Ly7PY2SK5eV5fL+ObFxEtewknPwGanA3njVgvG2F dKfgnSlYMoFK3nY1rKGKdBruuR9hVfIrfwCjo/C1L6N3DcLSKt7hh4hmzxKbWUTUgEq0I+ta0NtX qIw9j3juEaTfgHj6Q0Qnj6Fsl2T3U+MT6BsXEZF1gNhLeOp15KFeSGcxc9OQlMTlSVRiq7MUiTby 6LiAXppB9vWgG7WjGnhBH5XyVaKRC4hcCikziNPHMGWBViG8/0N4mRzh2i3i0csEgx1U5k/jFy0L uxU+++dEC5Oo1QLe9avIh38bObADjEdy/yeIVy8hLq042xTx6APOQM4rgi5UnCmd6uzB6/4A4fHn iW5exBs65JKq9doccr4F0dyBPme/XoQ6uwFPHCFevYpp2oO2tABti3xrVTOndfVhVpbH9vY+oNbZ s3Tts3hdw4hkE6quFxm03s52FMjgezvAb++fqp2RLVSVpfNOMO837L0dMlusOjZYekzlAt6+jxHY njdaR7gIeVuZbj/GVu5UWsXY1O84RHX0uwV9NuUT1DUjZRelz/8h5uxJgsc/7PSHdxpqS/efNawl 7af+D/ivfwAXzyGnJokfPgSD26FOYESIKUxDuYhq3IFKdxENW5HrVkh3OnNAcWQ/2sptmurd1cd4 IaKny60Ng/s/QLw05kIF1PZh9MocsqEJs2mpEjYDNUE09hYmU0Gy6UZRzSLa5KG/E1nJIdIK0ZpD B0fh5ryjKciGFLpUQp2bQM/OYfIvI7oGIL0BzY14IxJt04IefxQzt4Q5ehBpd3az88QL48hUH/G+ vYS77kLZpKBHniLWBczZ150wWlQU8cQ15MAQiezH3chcqhSJJ65gVzOkZ5z8TacN8X39iJkNxOkN GEy6pXS4ehY9P4fOj2NW1pBN7dCTIdX3qyg7av+0hdNGE69OU3zz90gceQ4vtxP7jVYvsD+kMNid lP2wKC1j7NFDLlJaj6iU8+TkKCpj7aGzjsZii5nfdPQ7u6bv7urE96ULyUSWeGHedc5xwXNddcJm SlrpsynjDe8nvHUdOXyQOxG1gvVugBWo/sZvE45NoT75a5jH7XVoE8JKlSOTyt2+glWz4rzsoBP+ elaaYixZPo/aOoQ2AjG4i/D6X5Csb8VYtnsqi7RXwKwtIGuIbMYl94isfePHrvsVmW7CsZPoq6PI gS5kQweVpded1a7wG/Az+6hcPYZMtWJ2dkBLA/HsGKxtIJati2keihOowR1oaykTCNSOu5DWjvfa GPGuQeTEHKZ7K7q4ip64hQkNavt2vFwPLH0R8R9/Bz71HxwhVnYNVF0EXvwc3u7DRFdPkv4n/zPp 1i4K/+e/QduwjdUC2mj80ZWqC8W//Ahq6Ai6NE88dQHZ0kI4+yL6wi1MBrzUdrzmRyhPfs3JV6wr p9+wzy3qf1yYzTVM0WZAVhCeh56fIixepHLlBRIHPojKDN6+1NkItnmXE+lsiyt5ZKLtu3td6yFm Y+LXAtTcClHqCkFDE6gmJ2K2P3tdWHSjpdeyFxMvuyJXHSV/SMG1VIaGZqKRWXRpBikykPz2fkvg bd9HdNdlaLrzuiuLWsF6t8Dz8G1m4P/zJ5jCTcKVM1XCX7oHmepwn7LOzVTFqOSAO/lbHlW0cdO9 iePKhEuFtuLhxNAvOUW/cyhdnUav5RHdPciEjThfBS/ErKyiN2eJr99AWI1eyjov5JG6HlW/h3jj JiqwD/kwhjKyrtlJjaxbqnfgQaJb5513l3UNlbHABArT04148FHEhRb0H/0hmMehqwc5odEd7ZjF eacJTDzwi4QjF9G3ruId3Yn+wAcxD9yD+PM/w3v/h6C9g8q3jqMXZ4lvXSXx2Mco/en/7qLN/Pf9 AvH1c8RT1zDRJqX+Zis+QqxoongEc+pVGC0RMwVtKczsBuKBDirF08RfvI66ey+kq4vpSv51vLr+ 7yy+f7QNdrVbsoTMys3X0KuTsFIhuO8p5/6ZEFtd4rVLorE7KNs9OS6UIN64RWxfQwau27KZjxQU Iuujy6tEYtYt2UUpQNTlSaYbsUkTcXHCZVLKrduJNi4g0x1uX+XG2h8lSUrWVYvalQUYskVvFmFH 0fWiG/+D+61z653pkV8rWO8yiMYOVBwiUgVk0u4+kggRfDc5xj4IOUsiTLksAT87RFyacRweEzS6 T34nwrY7kbjoLGpMv3aBGLq4jBifwvQrF4BqLp1zIRZMTSOOPujIheLMRXSuBa9+D15ul/NMiksL GF0gnh7D33/UGQKK+jSqbxfGymnyUxiTQCSy6L4QtfM5onAJ9fUvo556FvPRjyHamqriXUudGNyB XJ6B0YDo83+K/4l/hjz4CCbdBRvrmG9+E79nAHHY5i8WkZ1dzpE1/MZX3Fjr3f8w4kIT0ZUTmHCZ uDmDHBlBx/Nw0e52EphkwfnG252RubQCax66eQNZ3EG0ehm/5X7i8k3K8y8QtD78A0W/bjxenUK1 DhKuXnELdMvWj22qtx2pm5sIXzqDv/dhVLLHZQD6jQedB5rdL7oLna64Lq48+w2nVIjWrrgLL1fm 0bs70PEsqq6TqN5aC8254BBTySNsW2g0wZ5HqSy9ilB1jgpir8XOV6zuhwu/bTFS7VswNqrei5Gp NteQ6WQBdAKZtQXxzkStYL3L4N5sndusKW51B3J7bKuOg9Z4zZIMb+IHje4T2z5oVthq38hO5Jrd XWWwy+qp22oFTbTqdH7OuG3nAFhrXat17B9GLi9BW281nOAbx4kzHqY7g2zdQuX0nyO6uxHWUcJa NqeT1bj6JSvvaHZ7F9HZjTcwiJ4aw9QrpNeP3pjF++g/JsrZEItfduOf5WCFV19xLpjh5HFICdSz H0FO5dGzE0QT11E9g6gt9yJ+69cw+3Yh7znqlu52ZPZadmMeXiWcPk36Q//KGSTGs+Mwu1yVl1yb R8x1QFKjbTHek4VbBeTRATg2g7CWwS0B8fIVpOkjXPuWoxCEdadQqZ5qcXbzdYy2QQ7xOtHiRVTD VsoT3yAu3nIR7+RtYKlx1z7731gP+vjlP0P2tSFbW90Hh5XBIBad3KX6YRO4q6sIl9GWpjG2hjl5 hvhWHeG2Rdj6DGEa1M4EUf4CRmiU30rQ/KCzJnKjYdFeaBsIi1ZPmkUETe6ffxhcmnNccgt7RyK1 61KrL7wD5Dc/CrWC9W5GOQRPYOK1auiq7aDigrt+YS9hDvajM3IdmO1g7KZdV6zQtQnhe8SL065T IAvGr6A3887VVDY3YuQ62m+h8ld/RLDvAbzpKfjkvya2YRTHX0CWFWZ4EBOvuJ0Lc0X09evIugZ0 fhG9dBMznUW19lTtd02EWZxFL0wi2gYRdx8huvAW/j1POha1np5DNjaiGgadYFql66jkbjlzQWXb xc2KW6rL3/oNOPEWsq7OdYvxpTPOMUK01BM89iwy1YgcbiTecy96YRTZ2o5JFBCV2CUe29GTUzPI nTsx8+vIe7bD/Ibz/zL5Bffz0UtziKPdmA6DLuercVdxkXDuTcL8SVSmH9UyQLhxgXh91Im1xXIJ s1gBG7hRl3B2znYEtKOn9e3HSxGunHYXPNuhYjutZCdxYfH2n10RnVxHqjLRHqtaGMNsehSvnUeo ElE6j5/uwZMNTrIVlZZgY4JofcRRU0y0SlycwvPstdUKl/8ORAbhf083dYcXK4tawXo3w5qulQqI dNYVKFs07JlaOgeItxwRV6W3OBaz3UFZRX51T3L7TWrf1Ll6hN2fhPaaVI9nQzNjQ1wcg8Zm4uXT yC19MDVF/NwHEX/8e6hf/+cwuUz42GGSXQ84+Y7OzWGsx7u1bL71FvJ9jxH99UtQaHMOD0JlkTqN sYTsUtmNZbKtC9Gzwz3Uen2R4OBDxJanNTuNWRolLB1H1e9Gx3mU6CZeHEdt24u0V9J7Hke+dRy9 8yDxzCjh2ddIffifIMpd1QuZJwgeepZo9FzVd6xJYlYKiEBBoYI41I2ZWMXMLxOV5pDJZuRQF9oW rPIKJl/CXJpCDRwlfOXr+E/tJSpeIY7Gq7uwlU1nvSNlHfHinHtdY1kE56xJYgqxfxu6YQFxYQMx WO8uetR7VPIvf0fyJFPdqLhMefYrqPRWdLSOXNVE7Tni/Dypl8uoc5Os71hm9YFhtO6jI7vVXYWF 3VVRQYY9qJ5h9/rSz+Fru+jPfDed6UfgTpDa/LioFax3Myz7va5KgrS7LD0zY9suRK4JmeqqOitg CFdOucWw8Oodf8dKMaLVC8hEiyMXWr5NXJlynZm1konKo4hEA8aOF60NCBtnnx0iKl5FdbbBrbPo 1ga88VXM7mLVfK/1AFGHwVQKqJ1HiKcm8A4+6cYT1bGFeOyGK6gy3Y43sBvZvRVT3qja4uRnqqks K0vOTLD8R/8B/8HHMLPTiGSAbLBsa4lq7IKcIlq/6oqx2LMfde0kJtdEcN/TVVfXhhxxYRTCAJrT JJ/9TUp//p8x9SHGCikujSAtvSNvKfvAcJcLZ2BsAx7rdBc8U2895CswswZBhvXuvXiFUbRMONGx FR/r0pLbPcUrk0Tnx9FDXajODURvlnh+AhLrUNGIB7ZgljaJExOYtZIrVuHSKSJ1zulEo9I5dHkO PT2LP3gvosNHmCRRYYDouUFnjZ3IzNPSKInsfs9aUqWt7c8qyf6noPP7H1HBexu1gnXHQKA6B1CO QV3CS+5wnVU0dxxxbQqRbUREEfHyXxCmIszWfoLOLdUxIKEIL71JYtvT1YddluyNDJlod1Hx9uxO oPCDvYgH64m3WUtng6rvxkjLom4i1nP4u62Vi3AR57LsQ10KoyyPaB5hY9HTWaLxiyjr1hBV0LPj zq+dQKDn8lCxbqeWejGIyQWwJNFTNxAkEN1bUMODlOdfxIwvow52u9O77NqOyjQ4CgFJ35FeSe0m X/Zo0yvItl7oyxA0DFPwr+A9niOeVaiMQtUPEOdmEWcqiGZ7oUgicg1VE8BsL3E0y43VA+j0bsz0 G6wlB+nJ7EQqDxaqYuEwnKLc0oBYa0CX2/DbVsAGapTtz9U4DpXXZVn5lu6wjJQtGErIoI7Kwkuu y5JeJ2H4JnqqhEw22e03qj1N5DVBfoNoYwGvpRMv3qRSGcX3+zF60a0Bvh3SXEMVtYJ1p8Hzne3M t7uuoOMRYCfxtRPIskBs2Y9pbqS49E3H/PaydtTYIBh63AUNxMU8KtnueFzR2mU3XlqnSccPstyh SCI7quZv1g3BVGIqJ5/HO/A4MpFzqTj2emXdUsPRE/i9u4kLeWRPhvj1N/B27XW7KF2ZILp0Btm+ 1fmMWzdRObQHXZoj2PsI0dQlF01mF8EmzEMwiNE21/FFTELhF+5DBTlEYzNeMkU4fgWZ64Rswo2b LbmI+OY1zNoGmU/8DlpsIGa+RnnmeUTKd5wzVTbVsXq4GcoeZtHu4mzpD6HLMp1a6Myto1fOoJLf oiN6mXBDV6kO0QZmo4zXsoug4zKVW8fhlTzayKqtiychbbvCHuRyI9HKRUz9JqrZLrtlVUYVrSJ0 CzpaQvsBIipCyca+taKzVxBLoI+toBqTiK4+4sI0UdBPImV5cNa5dRVh95U1fAe1gnWnwxavnl5U T2917FLKjQ3p9l8nXpuk8spn8I7YYE2feHUGaS9GQrpx0u3AEm2Eq+duFyGrY9MuesyOo1YoayOj ZMMWTGkRvbFR1UCGUZU13T7sgiYcOdEGY1hSqpcgXrcmgzlIBu4CaP3CbWdDqQShJnrzJeSh/Xjt W9FTo85kzh4LKudfRpQbKJsLBKUxzM1lVyTl7JwrPNbJwZ73Letd4qF79hCdew0Cj1IpSZA7QLR2 C+NtYMKAWEzgiT2Y5kFkfhRjY8mmTiIb24nFGmG3R2HjFrmOIyRK9ZjKrONO2UufzihM6SXUchcJ G/JQaUR7eWJfoEohhLbwGMeijy+OOkNEGaXRIzdR+w+BL/FMF2LNI05KRLITWcq7YFltrjtXDDIg H2pGii7ijXnERBlvy4q9jiDIVJ1Ha/g+1ArWz5vM59uwZm8N/bDnCcKpc9CcQC4GxMl1dLhA0PFg VRRt9052SW+7BkuTsBrHyBY+z7kGEHouuSYu3sRvuscVML2ygOrdRjw3jkjXE519A9liQzqF81aS 9ZbAqhFNjW7xK/IFKsUzeP2HiG/dwn/iQ1Te/KqLTJed2yyh3xXO6PJb+N8MHiEAABauSURBVFv3 I0QLemIevXQLf8cRTC6L12vHW+Fez149rQ4yvnKmWnzKc8Sbiy5AtEg/cu4VAmtMmPBYDLbTGC5A Zo18eYFspoKOphHlAvUqQ6UsqFv7Ikbbg4VCBe1UwojFSivduYKjkATtd6Me3oPc2o5g0V0caRRV 7lYygRlqxmvd4QibJlrGazmIiluINsfQ529Afx5vI4mcakXduxvhZE1r6I1pZCrrrovW7yyUW4mT y4SRQCYbq0Wthu9DrWD9nEO1D7pwidjfIN48j742RuLws44GYZf1dnSxPvHWZsZYNr0lqKqKu+rZ YqTjSUSUw2MAs2RlIhWw/u+WSV0pEY9erVIPrl9E9fYh0jk3Ttrlu2m28WVAYwNClomvncWzZNP8 IkpmnYeWqM/hJYaIl8bxH/1V4vwtpN8NcwVEXRPx3Bhy970Im8vnrFPsuT50gma1dRfS8sKkJJfs I67MkW1cJs7vQagim+UA79XTBAcGWK/fzo2JFg41FaopRsZjs1wPa2nwxgga7kNHyy6KbbUiqI8u EQe7kZvnCZdPOQEz/W14NKO9aUSXTU6uw6yvIBubiNZuIDfrXGiuWZ0nHl9wBwVSIeK1IqZ9g6g7 hbQJNkEHfv0QUeJ8VWuYaEbWDeDJCE+1oZLNiIZfceqHGr4ftZ/IzzuUQvUNI22hSS8SV64Qlexi t514fQJdWcRvOuJ2WdZ218pfhMxgrNGgpSiICJVtqkaa2+5mxabW2L1UhGjrgKlx9zXikQuYeBFv Sy+ipDGb68ST15G9+9G+RhWyruPAhn6uzriAVuc7vjwH6TzKdBBvzmMKEbK0gR4ZQ+w74jSStpOT VvNox0ob3GEXUVEFmWtCL827tGKbHKRSXSTak4ShdIUv3TTE6rVPszAxRy4RsLO1HyNyLFdaWK9k 6VQzNLbXI+oOEK/OkWh7CJOu0NX6EGH+dUJySLPqHDq1tX0pWb7WOrK7E5nodEoEbWzsexey1IiI M24JL0oeOrmIOT9LbB0ylteR9DpXT10cJdj+JLElgqY60cUpZNACUZFE79PVZBuVui1orm3c/yZq Beu9ADtK+Qn8HQ9higUicwuzUCYcexHVuc91FSaOiVbPg5+uUiNSzW5ctGOjCHKQKkOh6LhVVv5j dzQuqVqvQFSP3L4H7+hR4rELmLVNZKrJBVjE4QxmZhVvcB9e6gBmeZlw9i1EupPAH0bUNRPdOodO LWLyk/iHnyQ+9xrhq1/B37sdFWhUT787AOiVJVRDE9HlU3h7jlYpBGdfJbjvA1Vtr43FIkmw9WEK l47h79iLeea3KF74OnXLayTEOqmhB1FL12haWwV/AXIdeKndyJk04Rsv4t/9EKJ+1cWj1TVuQzQN Ucm/hi5OYkwFoshRTeLSGPHmBMk+63S6hc1zv0Oy9wNEShN7M4hKBurqXMBGnM2gBrYQX7yBd98h JHaPWI/xSshslrg05Vjrlfyr+I2Hq1Y0NfxA1ArWewh275O456P4G/NUZt5A+gNI1Uj56l/h9e0n XH0LKZrws8OYKKpq4uIsNDdXLU6kwKwsVWPNpY9MNCD3POLCXkXaBlSsonrvcqGo4c3L+EN3YRaL zuRPLy06uxgr50kc+hiV88+7UVVP3URmm4hHr4G0hoIFwvnrsH8QkbLyn01MvAEr68iufrdbU307 qjKaIIm3Y7+TDdkAWUe5KKwj23pIHv51J5vplIrKei9hfNL5xEf5szC1RGLwKGG5iJfYjZ4Zh2xA 8shvOxueeOoq0dJFVGY7ItXmpE+iNEfCisI3x5GBlcQYzBsTGDVJ3AP+0GHINEKYRc4XoMkjbBhD zGu84Z1Vh4ihCBGn3YeGJZZigyWKAi+3jWh1BOnliOZOoxr6qo4PNfwt1ArWexAy00Ziy1N4fg/l i19Cj02jOqpFQGZ7iNfnwAZzWlvx9ipx1VRCtyhWDR1OkGw1gXYcI23HnxJq8ABar6C8NkzLGomD H3C7ovDYi8hGq19UeLuOoNdHXdqwFeSast22K+JLp5B1jYTROEovYMxmNYuxZD3MK6iWfuITn8V8 9cuIT/5bZHsvenMNmVBVaYwtoNZ9IC6h16wFi0F1bcVUigjrqNn/KMFmE5XpF5DZAURLiLbp3KLR xWol9n+4qreTnts50boT0dyK9LNOTmMlR1526LalsSRaue4sf1If/u/A6jPjDWSmF4ohSrcR61W8 5F3opevEsxddkIYJ08iuHrwdRwmXT1JZedlxtKwnWSL9EWQhVbWs2cwjunKI0iyyxdof1/C9qBWs 9yjsg+71HXBL97DwAubiFGJTo3fliS69hDdwN7KpD7N8GhZTeG3DTuVvrX/tbsWa+FmZjdja7NKG LcHUs/Kg0iqyr6+6jG7ucgaCLj+hvIpQGbDOKJkM/gPvh0rB0QJMuYR63wPokVdgsUiw9xlkypq3 a2eTY4uEabaEUAP2MpmoetKbwK+GdhQ3nY2ycW6bG6iOvtu/x+polcx2ogMPL9VPPD9CtL6Mqt8K dQlYXyYq2GTr/dUfzG2Om9c47KRONnrLymrsYcL+vu2ltDjyR8TlWUpzX8QLhqvFd3SS8NwJkr/w W4QTL1J6+Xn0+qrbBUZjVwkO9bhgjeL0nyC9VhJNzxBHNx19Ido8D5sRwfYHCE+8jIit86LnjA5t lqAN3HX8N1HbadUK1nsZUqL67nLBFPah1wvTkPIor4+gr0zAXcrZyNiOJ1x8E5Xsx1yfco4R0uob yyVHTlWJQfT6CKLfx0hTPcffzrizY6grckHCpUs7XaHedLsguVJGF4vIri2EJ19EZNLI5m5EKuuo C9auJS5tohenEa2d6OYpTHGR6POfRze2Ivu34e+4210pRTJZlTE1Wx7Z7ZDY27APvU081iqFaQ3x kw3oyiRebg/KkmRvGyP+wCyCeJO4MFElvgbNbkGeaHs/4cJxR6PQq/PIoAOzuo7s6CDKj7jUH9Ux 4CgeevoWsqkDUWclUh0k5NNIJ0jWSNWEXluAlQha69CsogZ2QWw7x3S1uGubym07Ue/7nEXfq6gV rBqqD4ON18rYOB9If/zfuO4mun4cXalQ+avP4D/9fmIxCRtziGwben2Fykt/hXfgfio3/ww9v4A3 tAdvv42Z3+eCLqKpEbxdhzEbq66rEjbX0I6ayYy78unoKqpvuysG8cw1Z8Ni9zuW2xRdeB1SKbyu IRf6GuXHiS8cQxcX2IgV6WMvw83LhL5B1vegbA6i/f8LyyH7Ln+pHFaLUaB0ldVfN4AONlB6q0sB slc/7AVS/YBDhVUSNN7tBOfhwln06k3nfiDsYv3SRfyDj4Aq4zUMEHcUieatBrKdODGPN3yQ4l/+ gSvqrmgXljCzebyduwnHTyEz7Y6lL1sbMXUhUlmaRArZ2/adpbuwy3lbTtcXiVZuIFMZVLr/Pf2O rRWsGv427Ohhd05D97qRTH2o3dEbbBCr3GJJoUnKV19y8pRo8Sy0eYhilvD4i3iH73VaR5qaMGbB 5eyRiIlLlpqQI164gb/lAeLiHGTrEZUKXt92zOJM1XivuInq6EVt24eeG4FkynVnlvGuRAp9+i3q Pvos3oEjVQ6YakQ2dmDWlhHWA2pxFlHf5pxXLRK+wJTXiYszqFQv0aVT6MUp55pqZUJSNiObMt/x G/sObHCFVM5KOVw4TXjqeVi3/LI2xEA3ym9CX7qOLq8TnT6JnF/DNPuU1SpmYZqoeJHg6Q8Tnzru xmd16KDTUoYnX0XtHnL7q1CcqIaa2gg325Fq4Zb9dhz93nxFaVOMJscpL3+JIPcwqq7PFXH7/b3X UCtYNfxw2C4jnUX1D39nbNI3Xya2LpzbtxPFN2FxnWD/LyK2xlRe+SKVygnk0iheegelyS8iC685 ZwlbDOLCCH7DIbRNh5l/Gb9xJ7pUQMXtqJ17nG2zDdtw41dThwtOrX5RDeUy0dhFZKKe8NZriPRd iOFBZ/pnR0ej9e2Fu2Wqfv+ux4TWdK+M9lbwdt3n9l/h1FtuhIymz+P5B4jjKbzsdne9s4Z+zq/d engtjBNdP4e+MEFw+ANEV44hiusk7v0FIjPnxmSxBuHn/gIpG4imX0XKekRnL0aVoSGNXgnxRKbq NDE37uydvf17kWsNVanO6jSxmUNvTrmjh3Up/d7fgSXrRnqKeHOBcul59Mkr1P3Sv3e21e811ApW DX9PVB8hsf8+xPhV9OJ1RHcd2mYc5qcIv/ElTCpL4LegrTtpwz5HZ4gKI6hSgdjymFTFaRbD5RP4 3gGMlcL4TWD3O5ZD1ZwmXh2rfrmStXrOuotkPDWCyOUww1sJMx6JPb+E17fNXeacG6uOoVwgevFL qPoWePD97iWccaEN8ihvIpu60RsLxK9+3X1dY51JWzzUX58hCiO0sNY3aRfY4LrBbLMz9dMTN+DU OF7joPOXD/Y9iejpcZdB3+sjiheIps6g7j1APH4RfXMK0WlZ/DOYz30W0dmKt2MY1gvozRLevgcJ v/Ff0C0jqGQvlfwJF2Rrkgq//aBjzOti1WL524Z70cJ5ommrgbQFKkYe2Ymsu51t+B5DrWDV8GPB 0gS8nh1Ow+erB6Cz6DR0ysZ22cSc+XF0ME1l6g2Y38TMT1bpENlOuCvrBNpRsSrJCUQ3pKt7M7Ox hmiwmkbPcaFMAHr8hnOOMMvzmCCJjOsRM6uwWiY6d47gUCvGF+jlRURdgOwdQG3fe3uck1Vmvl34 L65BMoNqGCBSbxKKG+5rCVtcD+wEVcTvvseNv/rGuOOgiYF6ZFM/amA3fmWD8vOfw+u+C9lbpS9U vvIXyGSAcf+8iNnaglkN8R95FL25gD55FZp68G5dRSyH6OeeQ/UMEb31ArJoiM+/jNx1D2LFIO3+ zZeE6/bSuYIu2JR0a1RYpZTojbwjosrNHDqxeruzem9eDGsFq4YfH/5t0z0L68Jpl9r7H63+Ig7x ixOY1WXihXrUX38NPbGI7uvEjA+iswuYvQ2EK8cQawrdNo7n34WyvlaW+JlfJV5YgS1NmMIqUne6 fY2VBqnD91N84f+D8St42w65kFS7s1KdW9DrS3h7jrjR0Ebcu+5q2S66J52li2Xox7dOo9/8KvFj DfiJYRLDv4JpnyGcPO0uepaFL1u7Ca++ibi0Cnt8FxrrHXyMOLuC33bU6Rv19WvIxm4qu/J4V5fR qwv49z+Fbh1FeYOooV1Ubs1hkmt452zMWIzemAQ9iF6bJV4edyG0SvgupSiev4lsa3Ge/CrZgfTt 4j1dDRwpFap7xOUcenICb2g/cWkS3qO791rBquGnC+WjMgPOOsXrPEBpegRz46+RNqiiMY1KtiGb txBt3iKev4FZmIFunL0w5QjVZzlPdY6HpNtTVXsby6tydr8R6uufRk9OUb5+FdXeRzx21VEsRJ11 PbC2LLYliV2AhxVpi537EDbMI5mk9J/+mORYAU/+RpUcat0tMvUEW++rmg+OXnaSI0uWjS+edwlA lmNVHv8iwcBjlqPhOiBv90FMOsa78SZm/DLq4DDmxGnndS93dBBdPoG/+3FEY4a4+ybi5g3kyWto e/XL1iG6ejBNBm1tdh54mHh0BkJFqvOXXfGzxNq4vIix6USRwm+6C80SXupuN6r6Dfe+Z9+1tYJV w9sHKUn+yicpTWyhvPKKCwSVYT1BcATpNTq3zXDxOCYrCa+dcHY4vncIr3UbplBEtfTc1gfaNKEA vTxP8tf+NQhDNHET2drluj2RrXcXM7044/6d7cb09LjjaTmmu0m47yXxzK+hD1xDNrdUeWSOJ5aF 2/Qma+3suGk9OzBDj6P9TYoj/xlTMc5yOuh5Ei9r5UEBsn0LcvEW+ohEL6yg+ruITp6GlWuo6RL6 qfuwc23wzD91sqbSZ34feekG8u6dyLY+jGXI7+hGNbSROPIRhGXZ2xBU60hqmfsW1hH2NllUWbpY DbWCVcPbDD8gufU5gvAp56BpRz7nbDrvEU6eIzj6C5i1JTx79fPqXEIyXgBh0ekKqVSqLg0IZHOn i5y3FAbZ2e9GJVF3m5JgU82sntCFLyRdsapanQaYOETPzbprp9hzT3XHZW2Qf4ifmKVXCPu1gMzu f4fenGbj2qeonP0qHHiGwNoep5vAxp4lWwl2PYVW6/gihRy5hpBrqMGHMKZEZfYNtE38acvC7kcx bx7D5PLEsoTI+FXW/rcLlMX3UhXem2uqH4lah1XD2w/bOQRNYP+yebBhuZrcoy85Lyi9uo7+5qdR Rx6GoXqimxeQza2Ea8eQGzm8Lbudo6d9fq2rhGO0l4suIh6hiYubyJZmRNJ6cdnEZRt1ZqO12t0C nfU1zMoiot3uySSov3/cld0lyUwf6e3/DaH3inv9Sv4NVLoP1TsEloWRaUUU6mBLiBq+n/D6MeTm HF7bfpd3GGeuUD7zJZiuIDIB/kvH8VpaUY8d+f5iVcPfiVrBquGdh59wbHjvN/bAxjJhW4wqn6Ii bPrx83jtuxCB7WLaXCqPXeSb9QVI2KCLeqKRC8S3LrvFv3VmsCOedf90omwbOSaMk9GEx76J6rVc rW14jS0/sRbPvrZfvw+1q9ctxiuLr1OZfZ6g/SEX8Gr98d3ereBDoYDq2IPW826HFhcXnYOraQgJ x6/C+gbRQCNephu/4z26Of8HoFawavjZwXYXuWY8G3/1Pz5G0sTEy2PomVnrHAhFezWcJVKLCOvp bke+lWUolvCGDqLnJtGrc+5KaDY3qkLoSgnWVjBW1rPnXmTOUiV+OrOV7RKdvMerQ69NUJ7/KuHS eRIdj6GsIWJ+BMpx1Td/yiYanUK2tYESiLJEVJT1gsakkiR++9/+XASbvtOoFawafuaw4uXqLzxU 8yCqeaDqjGDjvTrKTrYTTpxBWl3j85/Bv/dJlNXnhRVkQyPx9AjKemVJ5SLpaelAvF3OBkLhZbZj aKMURYRTXyBavkii+yFUyzZUog+Z7EYW1txF0Ym9F+dRcS+mMIO/70m87r3Vq2YNPzZqBauGdyFu Fxu7nLchFl39BA3N6JU8wQNPE7ZvYaUkadm+x66wYHm5uqi3sL5Y78R3mKknV/cE5SBNtPIGlblj qLpJ/OZDiIUpgv57ob6JeHkEbQ0OM3XIobuI0ysEbZ3vyPf484hawarh3Q9buOrqUXU510l52pDS 8XfyGWn6GWX3CUGi436C1oMUb/wJ5Wufc1mPvr/P+YP5XYfQ1qmivt7t2cyoxmvdXaVS1PAToVaw ariDIG7bvvyNSLPv/fXP4Huyl8Rk37Owkac8foLwyleJip+n8tgDyGID+vgl57Yqu7ucR/570WXh p4Vawaqhhp8CZKqD1P5P4neep6I+g77yJvGJ19GZDszoqHNVTQ3+8ypn7LbWsYZawaqhhp8ZrOGf 33kI76khylu+gP7938MUryN72olvXqH4x5/Cv+cJgvueRPXvqv1J/QSodVg11PDThDsU5Eju/QTq k7sof/oPiZfOIKRwFIzw2Fech1etYP1kqBWsGmp4OyAEqm2Q5Ac/TvlffZlobxdq3/3EI5dRg9YQ sYafBLWCVUMNbxOse4PTMeYymMUyZnUNqRuQLdaeooafBLWCVUMNbyPk7qOk/6c/ZPOPfwf98uuI 9i5MIV8VPdfwY6NWsGqo4W2EUAFq5xEy//3vUv7CpxDPH0fkN8AmfdXwY6NWsGqo4R2AbOsl+fH/ BZo+j+irxdD/pKgVrBpqeIdgXU358K/WiKP/ANQKVg01vJOosdz5h+D/B68RKtYQUXb7AAAAAElF TkSuQmCC