20241118 11290900 1.0 FALSE Κτίρια_Βρύσα_final_NK_v5 002 0.000 file://\\DESKTOP-6V8I671\C$\Users\NickCoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb Local Area Network Projected GCS_GGRS_1987 Linear Unit: Meter (1.000000) Greek_Grid <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;Greek_Grid&quot;,GEOGCS[&quot;GCS_GGRS_1987&quot;,DATUM[&quot;D_GGRS_1987&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,24.0],PARAMETER[&quot;Scale_Factor&quot;,0.9996],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,2100]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</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>2100</WKID><LatestWKID>2100</LatestWKID></ProjectedCoordinateSystem> ExportFeatures buildings "C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb\buildings_NK" # NOT_USE_ALIAS "db_vd6id_h "db_vd6id_h" true true false 0 Long 0 0,First,#,buildings,db_vd6id_h,-1,-1;objectid_1 "objectid_1" true true false 0 Long 0 0,First,#,buildings,objectid_1,-1,-1;objectid "objectid" true true false 0 Double 0 0,First,#,buildings,objectid,-1,-1;id "id" true true false 0 Double 0 0,First,#,buildings,id,-1,-1;material "material" true true false 80 Text 0 0,First,#,buildings,material,0,79;nr_floor "nr_floor" true true false 0 Double 0 0,First,#,buildings,nr_floor,-1,-1;shape_leng "shape_leng" true true false 0 Double 0 0,First,#,buildings,shape_leng,-1,-1;dam_f2 "dam_f2" true true false 0 Double 0 0,First,#,buildings,dam_f2,-1,-1;nm_code "nm_code" true true false 0 Double 0 0,First,#,buildings,nm_code,-1,-1;st_area_sh "st_area_sh" true true false 0 Double 0 0,First,#,buildings,st_area_sh,-1,-1;st_length_ "st_length_" true true false 0 Double 0 0,First,#,buildings,st_length_,-1,-1;met_322019 "met_322019" true true false 0 Double 0 0,First,#,buildings,met_322019,-1,-1;met_26319 "met_26319" true true false 0 Double 0 0,First,#,buildings,met_26319,-1,-1;met_19519 "met_19519" true true false 0 Double 0 0,First,#,buildings,met_19519,-1,-1;m_29092019 "m_29092019" true true false 0 Long 0 0,First,#,buildings,m_29092019,-1,-1;m_17052020 "m_17052020" true true false 0 Long 0 0,First,#,buildings,m_17052020,-1,-1;m_12072020 "m_12072020" true true false 0 Long 0 0,First,#,buildings,m_12072020,-1,-1;m_07102020 "m_07102020" true true false 0 Long 0 0,First,#,buildings,m_07102020,-1,-1;m_20042021 "m_20042021" true true false 0 Long 0 0,First,#,buildings,m_20042021,-1,-1;SHAPE__Length "SHAPE__Length" false true true 0 Double 0 0,First,#,buildings,SHAPE__Length,-1,-1;st_area__1 "st_area__1" true true false 0 Double 0 0,First,#,buildings,st_area__1,-1,-1;st_length1 "st_length1" true true false 0 Double 0 0,First,#,buildings,st_length1,-1,-1;SHAPE__Area "SHAPE__Area" false true true 0 Double 0 0,First,#,buildings,SHAPE__Area,-1,-1;shape_le_1 "shape_le_1" true true false 0 Double 0 0,First,#,buildings,shape_le_1,-1,-1" # 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>buildings_NK</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>db_vd6id_h</field_name><field_name>objectid_1</field_name><field_name>objectid_12</field_name></DeleteField></workflow></operationSequence> 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>buildings_NK</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>id</field_name></DeleteField></workflow></operationSequence> ExportFeatures "Κτίρια Βρύσα" "C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb\Κτίρια_Βρύσα_" # NOT_USE_ALIAS "material "Υλικό" true true false 80 Text 0 0,First,#,Κτίρια Βρύσα,material,0,79;nr_floor "Αριθμός Ορόφων" true true false 8 Double 0 0,First,#,Κτίρια Βρύσα,nr_floor,-1,-1;shape_leng "shape_leng" true true false 8 Double 0 0,First,#,Κτίρια Βρύσα,shape_leng,-1,-1;dam_f2 "Καταλληλότητα Κτιρίων" true true false 8 Double 0 0,First,#,Κτίρια Βρύσα,dam_f2,-1,-1;nm_code "nm_code" true true false 8 Double 0 0,First,#,Κτίρια Βρύσα,nm_code,-1,-1;met_322019 "Μέτρηση Φεβρουάριος 2019" true true false 8 Double 0 0,First,#,Κτίρια Βρύσα,met_322019,-1,-1;met_26319 "Μέτρηση Μάρτιος 2019" true true false 8 Double 0 0,First,#,Κτίρια Βρύσα,met_26319,-1,-1;met_19519 "Μέτρηση Μάιος 2019" true true false 8 Double 0 0,First,#,Κτίρια Βρύσα,met_19519,-1,-1;m_29092019 "Μέτρηση Σεπτέμβριος 2019" true true false 4 Long 0 0,First,#,Κτίρια Βρύσα,m_29092019,-1,-1;m_17052020 "Μέτρηση Μάιος 2020" true true false 4 Long 0 0,First,#,Κτίρια Βρύσα,m_17052020,-1,-1;m_12072020 "Μέτρηση Ιούλιος 2020" true true false 4 Long 0 0,First,#,Κτίρια Βρύσα,m_12072020,-1,-1;m_07102020 "Μέτρηση Οκτώβριος 2020" true true false 4 Long 0 0,First,#,Κτίρια Βρύσα,m_07102020,-1,-1;m_20042021 "Μέτρηση Απρίλης 2021" true true false 4 Long 0 0,First,#,Κτίρια Βρύσα,m_20042021,-1,-1;Shape_Length "Περίμετρος Περιοχής" false true true 8 Double 0 0,First,#,Κτίρια Βρύσα,Shape_Length,-1,-1;Shape_Area "Εμβαδό Περιοχής" false true true 8 Double 0 0,First,#,Κτίρια Βρύσα,Shape_Area,-1,-1" # 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/3.3.0'><WorkspaceConnectionString>DATABASE=C:\Users\geom24014\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>chng_2021</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 Κτίρια_Βρύσα chng_2021 "Χωρίς Μεταβολή" Python # Text NO_ENFORCE_DOMAINS CalculateField Κτίρια_Βρύσα chng_2021 "Έγινε Κατεδάφιση" Python # Text NO_ENFORCE_DOMAINS CalculateField Κτίρια_Βρύσα chng_2021 "Ανέγερση Νέου Κτιρίου" Python # 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>chng_2021</field_name><field_type>TEXT</field_type><field_length>50</field_length><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AddField><field_name>bldg_cl17</field_name><field_type>TEXT</field_type><field_length>50</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>chng_2021</field_name><field_type>TEXT</field_type><field_length>50</field_length><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>chng_2021</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>chn_0219</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>chng_0319</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>chng_0519</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> 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>chng_0919</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>chng_0520</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> 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>chng_0720</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>chng_1020</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 Κτίρια_Βρύσα bldg_cl17 calculate_suitability(!dam_f2!) PYTHON3 "def calculate_suitability(code): if code == 1: return "Κατάλληλο" elif code == 2: return "Προσωρινά Ακατάλληλο" elif code == 3: return "Μη κατάλληλο" else: return None # Handle unexpected values " TEXT NO_ENFORCE_DOMAINS CalculateField Κτίρια_Βρύσα bldg_cl17 1 PYTHON3 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>bldg_cl17</field_name><new_field_name>bldg_cl17_</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> DeleteField Κτίρια_Βρύσα bldg_cl17_ 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>bldg_cl17</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> 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>met_322019</field_name><new_field_name>met_022019</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>met_26319</field_name><new_field_name>met_032019</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>met_19519</field_name><new_field_name>met_0519</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>m_29092019</field_name><new_field_name>met_092019</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>m_17052020</field_name><new_field_name>met_052020</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>m_12072020</field_name><new_field_name>met_072020</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>m_07102020</field_name><new_field_name>met_102020</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>m_20042021</field_name><new_field_name>met_042021</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>chng_2021</field_name><new_field_name>chng_0421</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>chng_0319</field_name><new_field_name>chng_032019</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=<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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>met_0519</field_name><new_field_name>met_052019</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>chn_0219</field_name><new_field_name>chng_0219</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=<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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>chng_032019</field_name><new_field_name>chng_0319</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=<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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>chng_tot</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> AddField Κτίρια_Βρύσα monitoring_process TEXT # # 500 # NULLABLE NON_REQUIRED # AddField Κτίρια_Βρύσα unique_status_process TEXT # # 500 # NULLABLE NON_REQUIRED # 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>chng_tot</field_name></DeleteField></workflow></operationSequence> AddField Κτίρια_Βρύσα status_with_dates TEXT # # 500 # NULLABLE NON_REQUIRED # AddField Κτίρια_Βρύσα status_with_date_ranges TEXT # # 500 # NULLABLE NON_REQUIRED # ExportFeatures Κτίρια_Βρύσα_Final_NK "C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb\Κτίρια_Βρύσα_final_NK" # NOT_USE_ALIAS "material "Υλικό" true true false 80 Text 0 0,First,#,Κτίρια_Βρύσα_Final_NK,material,0,79;nr_floor "Αριθμός Ορόφων" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_Final_NK,nr_floor,-1,-1;nm_code "nm_code" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_Final_NK,nm_code,-1,-1;dam_f2 "Καταλληλότητα Κτιρίων(numeric)" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_Final_NK,dam_f2,-1,-1;bldg_cl17 "Καταλληλότητα Κτιρίων" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_Final_NK,bldg_cl17,0,254;met_022019 "Μέτρηση Φεβρουάριος 2019" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_Final_NK,met_022019,-1,-1;chng_0219 "Μεταβολή Φεβρουάριος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_Final_NK,chng_0219,0,254;met_032019 "Μέτρηση Μάρτιος 2019" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_Final_NK,met_032019,-1,-1;chng_0319 "Μεταβολή Μάρτιος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_Final_NK,chng_0319,0,254;met_052019 "Μέτρηση Μάιος 2019" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_Final_NK,met_052019,-1,-1;chng_0519 "Μεταβολή Μάιος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_Final_NK,chng_0519,0,254;met_092019 "Μέτρηση Σεπτέμβριος 2019" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_Final_NK,met_092019,-1,-1;chng_0919 "Μεταβολή Σεπτέμβριος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_Final_NK,chng_0919,0,254;met_052020 "Μέτρηση Μάιος 2020" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_Final_NK,met_052020,-1,-1;chng_0520 "Μεταβολή Μάιος 2020" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_Final_NK,chng_0520,0,254;met_072020 "Μέτρηση Ιούλιος 2020" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_Final_NK,met_072020,-1,-1;chng_0720 "Μεταβολή Ιούλιος 2020" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_Final_NK,chng_0720,0,254;met_102020 "Μέτρηση Οκτώβριος 2020" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_Final_NK,met_102020,-1,-1;chng_1020 "Μεταβολή Οκτώβριος 2020" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_Final_NK,chng_1020,0,254;met_042021 "Μέτρηση Απρίλης 2021" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_Final_NK,met_042021,-1,-1;chng_0421 "Μεταβολή Απρίλης 2021" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_Final_NK,chng_0421,0,254;unique_status_process "Συνοπτικές Μεταβολές" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_Final_NK,unique_status_process,0,499;status_with_dates "Συνολικές Μεταβολές με Ημερομηνίες" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_Final_NK,status_with_dates,0,499;status_with_date_ranges "Αναλυτικές Μεταβολές με Ημερομηνίες" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_Final_NK,status_with_date_ranges,0,499;Shape_Area "Εμβαδό Περιοχής" false true true 8 Double 0 0,First,#,Κτίρια_Βρύσα_Final_NK,Shape_Area,-1,-1;Shape_Length "Περίμετρος Περιοχής" false true true 8 Double 0 0,First,#,Κτίρια_Βρύσα_Final_NK,Shape_Length,-1,-1;monitoring_process "Συνολικές Μεταβολές Σύνολο" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_Final_NK,monitoring_process,0,499" # ExportFeatures Κτίρια_Βρύσα_final_NK "C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb\Κτίρια_Βρύσα_final_NK_v1" # NOT_USE_ALIAS "material "Υλικό" true true false 80 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK,material,0,79;nr_floor "Αριθμός Ορόφων" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK,nr_floor,-1,-1;nm_code "nm_code" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK,nm_code,-1,-1;dam_f2 "Καταλληλότητα Κτιρίων(numeric)" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK,dam_f2,-1,-1;bldg_cl17 "Καταλληλότητα Κτιρίων" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK,bldg_cl17,0,254;met_022019 "Μέτρηση Φεβρουάριος 2019" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK,met_022019,-1,-1;chng_0219 "Μεταβολή Φεβρουάριος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK,chng_0219,0,254;met_032019 "Μέτρηση Μάρτιος 2019" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK,met_032019,-1,-1;chng_0319 "Μεταβολή Μάρτιος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK,chng_0319,0,254;met_052019 "Μέτρηση Μάιος 2019" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK,met_052019,-1,-1;chng_0519 "Μεταβολή Μάιος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK,chng_0519,0,254;met_092019 "Μέτρηση Σεπτέμβριος 2019" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK,met_092019,-1,-1;chng_0919 "Μεταβολή Σεπτέμβριος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK,chng_0919,0,254;met_052020 "Μέτρηση Μάιος 2020" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK,met_052020,-1,-1;chng_0520 "Μεταβολή Μάιος 2020" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK,chng_0520,0,254;met_072020 "Μέτρηση Ιούλιος 2020" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK,met_072020,-1,-1;chng_0720 "Μεταβολή Ιούλιος 2020" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK,chng_0720,0,254;met_102020 "Μέτρηση Οκτώβριος 2020" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK,met_102020,-1,-1;chng_1020 "Μεταβολή Οκτώβριος 2020" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK,chng_1020,0,254;met_042021 "Μέτρηση Απρίλης 2021" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK,met_042021,-1,-1;chng_0421 "Μεταβολή Απρίλης 2021" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK,chng_0421,0,254;unique_status_process "Συνοπτικές Μεταβολές" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK,unique_status_process,0,499;status_with_dates "Συνολικές Μεταβολές με Ημερομηνίες" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK,status_with_dates,0,499;status_with_date_ranges "Αναλυτικές Μεταβολές με Ημερομηνίες" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK,status_with_date_ranges,0,499;monitoring_process "Συνολικές Μεταβολές Σύνολο" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK,monitoring_process,0,499;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK,Shape_Area,-1,-1" # AddField Κτίρια_Βρύσα_final_NK_v1 Record_ID LONG # # # # NULLABLE NON_REQUIRED # CalculateField Κτίρια_Βρύσα_final_NK_v1 Record_ID !OBJECTID! PYTHON3 # 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_final_NK_v1</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>met_052022</field_name><field_type>LONG</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>chng_0522</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>dif17_22</field_name><field_type>LONG</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_final_NK_v1</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>dif17_22</field_name></DeleteField></workflow></operationSequence> 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_final_NK_v1</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>dif_17_22</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField Κτίρια_Βρύσα_final_NK_v1 met_052022 3 PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Κτίρια_Βρύσα_final_NK_v1 met_052022 3 PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Κτίρια_Βρύσα_final_NK_v1 dif_17_22 0 PYTHON3 # 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_final_NK_v1</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>dif_17_22</field_name><new_field_name>dif_21_22</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> 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/3.4.0'><WorkspaceConnectionString>DATABASE=C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Κτίρια_Βρύσα_final_NK_v1</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>met_052022</field_name><new_field_name>met_052024</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow><workflow><AlterField><field_name>chng_0522</field_name><new_field_name>chng_0524</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>dif_21_22</field_name><new_field_name>dif_22_24</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> ExportFeatures Κτίρια_Βρύσα_final_NK_v1 "C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb\Κτίρια_Βρύσα_final_NK_v2" # NOT_USE_ALIAS "material "Υλικό" true true false 80 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,material,0,79;nr_floor "Αριθμός Ορόφων" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,nr_floor,-1,-1;nm_code "nm_code" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,nm_code,-1,-1;dam_f2 "Καταλληλότητα Κτιρίων(numeric)" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,dam_f2,-1,-1;bldg_cl17 "Καταλληλότητα Κτιρίων" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,bldg_cl17,0,254;met_022019 "Μέτρηση Φεβρουάριος 2019" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,met_022019,-1,-1;chng_0219 "Μεταβολή Φεβρουάριος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,chng_0219,0,254;met_032019 "Μέτρηση Μάρτιος 2019" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,met_032019,-1,-1;chng_0319 "Μεταβολή Μάρτιος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,chng_0319,0,254;met_052019 "Μέτρηση Μάιος 2019" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,met_052019,-1,-1;chng_0519 "Μεταβολή Μάιος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,chng_0519,0,254;met_092019 "Μέτρηση Σεπτέμβριος 2019" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,met_092019,-1,-1;chng_0919 "Μεταβολή Σεπτέμβριος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,chng_0919,0,254;met_052020 "Μέτρηση Μάιος 2020" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,met_052020,-1,-1;chng_0520 "Μεταβολή Μάιος 2020" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,chng_0520,0,254;met_072020 "Μέτρηση Ιούλιος 2020" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,met_072020,-1,-1;chng_0720 "Μεταβολή Ιούλιος 2020" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,chng_0720,0,254;met_102020 "Μέτρηση Οκτώβριος 2020" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,met_102020,-1,-1;chng_1020 "Μεταβολή Οκτώβριος 2020" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,chng_1020,0,254;met_042021 "Μέτρηση Απρίλης 2021" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,met_042021,-1,-1;chng_0421 "Μεταβολή Απρίλης 2021" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,chng_0421,0,254;dif_22_24 "Διαφορά Ύψους 2022-2024" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,dif_22_24,-1,-1;met_052024 "Μέτρηση Μάιος 2024" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,met_052024,-1,-1;chng_0524 "Μεταβολή Μάιος 2024" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,chng_0524,0,254;unique_status_process "Συνοπτικές Μεταβολές" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,unique_status_process,0,499;status_with_dates "Συνολικές Μεταβολές με Ημερομηνίες" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,status_with_dates,0,499;status_with_date_ranges "Αναλυτικές Μεταβολές με Ημερομηνίες" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,status_with_date_ranges,0,499;monitoring_process "Συνολικές Μεταβολές Σύνολο" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,monitoring_process,0,499;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,Shape_Area,-1,-1;Record_ID "Record_ID" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v1,Record_ID,-1,-1" # CalculateField Κτίρια_Βρύσα_final_NK_v2 met_052024 3 PYTHON3 # TEXT NO_ENFORCE_DOMAINS CalculateField Κτίρια_Βρύσα_final_NK_v2 met_052024 2 PYTHON3 # TEXT NO_ENFORCE_DOMAINS ExportFeatures Κτίρια_Βρύσα_final_NK_v2 "C:\Users\NickKoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb\Κτίρια_Βρύσα_final_NK_v3" # NOT_USE_ALIAS "material "Υλικό" true true false 80 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,material,0,79;nr_floor "Αριθμός Ορόφων" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,nr_floor,-1,-1;nm_code "nm_code" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,nm_code,-1,-1;dam_f2 "Καταλληλότητα Κτιρίων(numeric)" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,dam_f2,-1,-1;bldg_cl17 "Καταλληλότητα Κτιρίων" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,bldg_cl17,0,254;met_022019 "Μέτρηση Φεβρουάριος 2019" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,met_022019,-1,-1;chng_0219 "Μεταβολή Φεβρουάριος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,chng_0219,0,254;met_032019 "Μέτρηση Μάρτιος 2019" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,met_032019,-1,-1;chng_0319 "Μεταβολή Μάρτιος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,chng_0319,0,254;met_052019 "Μέτρηση Μάιος 2019" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,met_052019,-1,-1;chng_0519 "Μεταβολή Μάιος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,chng_0519,0,254;met_092019 "Μέτρηση Σεπτέμβριος 2019" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,met_092019,-1,-1;chng_0919 "Μεταβολή Σεπτέμβριος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,chng_0919,0,254;met_052020 "Μέτρηση Μάιος 2020" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,met_052020,-1,-1;chng_0520 "Μεταβολή Μάιος 2020" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,chng_0520,0,254;met_072020 "Μέτρηση Ιούλιος 2020" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,met_072020,-1,-1;chng_0720 "Μεταβολή Ιούλιος 2020" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,chng_0720,0,254;met_102020 "Μέτρηση Οκτώβριος 2020" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,met_102020,-1,-1;chng_1020 "Μεταβολή Οκτώβριος 2020" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,chng_1020,0,254;met_042021 "Μέτρηση Απρίλης 2021" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,met_042021,-1,-1;chng_0421 "Μεταβολή Απρίλης 2021" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,chng_0421,0,254;dif_22_24 "Διαφορά Ύψους 2022-2024" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,dif_22_24,-1,-1;met_052024 "Μέτρηση Μάιος 2024" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,met_052024,-1,-1;chng_0524 "Μεταβολή Μάιος 2024" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,chng_0524,0,254;unique_status_process "Συνοπτικές Μεταβολές" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,unique_status_process,0,499;status_with_dates "Συνολικές Μεταβολές με Ημερομηνίες" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,status_with_dates,0,499;status_with_date_ranges "Αναλυτικές Μεταβολές με Ημερομηνίες" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,status_with_date_ranges,0,499;monitoring_process "Συνολικές Μεταβολές Σύνολο" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,monitoring_process,0,499;Record_ID "Record_ID" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,Record_ID,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v2,Shape_Area,-1,-1" # ExportFeatures Κτίρια_Βρύσα_final_NK_v5 "C:\Users\NickCoro\OneDrive - aegean.gr\GeoInformatics\DSM_18_11\DSM_18_11.gdb\Κτίρια_Βρύσα_final_NK_v5" # NOT_USE_ALIAS "material "Υλικό" true true false 80 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,material,0,79;nr_floor "Αριθμός Ορόφων" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,nr_floor,-1,-1;nm_code "nm_code" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,nm_code,-1,-1;dam_f2 "Καταλληλότητα Κτιρίων(numeric)" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,dam_f2,-1,-1;bldg_cl17 "Καταλληλότητα Κτιρίων" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,bldg_cl17,0,254;met_022019 "Μέτρηση Φεβρουάριος 2019" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,met_022019,-1,-1;chng_0219 "Μεταβολή Φεβρουάριος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,chng_0219,0,254;met_032019 "Μέτρηση Μάρτιος 2019" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,met_032019,-1,-1;chng_0319 "Μεταβολή Μάρτιος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,chng_0319,0,254;met_052019 "Μέτρηση Μάιος 2019" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,met_052019,-1,-1;chng_0519 "Μεταβολή Μάιος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,chng_0519,0,254;met_092019 "Μέτρηση Σεπτέμβριος 2019" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,met_092019,-1,-1;chng_0919 "Μεταβολή Σεπτέμβριος 2019" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,chng_0919,0,254;met_052020 "Μέτρηση Μάιος 2020" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,met_052020,-1,-1;chng_0520 "Μεταβολή Μάιος 2020" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,chng_0520,0,254;met_072020 "Μέτρηση Ιούλιος 2020" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,met_072020,-1,-1;chng_0720 "Μεταβολή Ιούλιος 2020" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,chng_0720,0,254;met_102020 "Μέτρηση Οκτώβριος 2020" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,met_102020,-1,-1;chng_1020 "Μεταβολή Οκτώβριος 2020" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,chng_1020,0,254;met_042021 "Μέτρηση Απρίλης 2021" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,met_042021,-1,-1;chng_0421 "Μεταβολή Απρίλης 2021" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,chng_0421,0,254;dif_22_24 "Διαφορά Ύψους 2022-2024" true true false 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,dif_22_24,-1,-1;met_052024 "Μέτρηση Μάιος 2024" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,met_052024,-1,-1;chng_0524 "Μεταβολή Μάιος 2024" true true false 255 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,chng_0524,0,254;unique_status_process "Συνοπτικές Μεταβολές" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,unique_status_process,0,499;status_with_dates "Συνολικές Μεταβολές με Ημερομηνίες" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,status_with_dates,0,499;status_with_date_ranges "Αναλυτικές Μεταβολές με Ημερομηνίες" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,status_with_date_ranges,0,499;monitoring_process "Συνολικές Μεταβολές Σύνολο" true true false 500 Text 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,monitoring_process,0,499;Record_ID "Record_ID" true true false 4 Long 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,Record_ID,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Κτίρια_Βρύσα_final_NK_v5,Shape_Area,-1,-1" # 20241227 23091600 20241227 23091600 Esri ArcGIS 12.8.3.29751 Κτίρια_Βρύσα_ready_NK File Geodatabase Feature Class 0.000 dataset EPSG 6.7(4.0.0) 0 Simple FALSE 0 TRUE FALSE Κτίρια_Βρύσα_final_NK_v5 Feature Class 0 OBJECTID fid 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. Material Υλικό String 80 0 0 Nr_floor Αριθμός Ορόφων Double 8 0 0 DAM_f2 Καταλληλότητα Κτιρίων(numeric) Double 8 0 0 NM_CODE nm_code Double 8 0 0 bldg_cl17 Καταλληλότητα Κτιρίων String 255 0 0 met_022019 Μέτρηση Φεβρουάριος 2019 Double 8 0 0 chng_0219 Μεταβολή Φεβρουάριος 2019 String 255 0 0 met_032019 Μέτρηση Μάρτιος 2019 Double 8 0 0 chng_0319 Μεταβολή Μάρτιος 2019 String 255 0 0 met_052019 Μέτρηση Μάιος 2019 Double 8 0 0 chng_0519 Μεταβολή Μάιος 2019 String 255 0 0 met_092019 Μέτρηση Σεπτέμβριος 2019 Integer 4 0 0 chng_0919 Μεταβολή Σεπτέμβριος 2019 String 255 0 0 met_052020 Μέτρηση Μάιος 2020 Integer 4 0 0 chng_0520 Μεταβολή Μάιος 2020 String 255 0 0 met_072020 Μέτρηση Ιούλιος 2020 Integer 4 0 0 chng_0720 Μεταβολή Ιούλιος 2020 String 255 0 0 met_102020 Μέτρηση Οκτώβριος 2020 Integer 4 0 0 chng_1020 Μεταβολή Οκτώβριος 2020 String 255 0 0 met_042021 Μέτρηση Απρίλης 2021 Integer 4 0 0 chng_0421 Μεταβολή Απρίλης 2021 String 255 0 0 dif_22_24 Διαφορά Ύψους 2022-2024 Double 8 0 0 met_052024 Μέτρηση Μάιος 2024 Integer 4 0 0 chng_0524 Μεταβολή Μάιος 2024 String 255 0 0 unique_status_process Συνοπτικές Μεταβολές String 500 0 0 status_with_dates Συνολικές Μεταβολές με Ημερομηνίες String 500 0 0 status_with_date_ranges Αναλυτικές Μεταβολές με Ημερομηνίες String 500 0 0 monitoring_process Συνολικές Μεταβολές Σύνολο String 500 0 0 Record_ID Record_ID Integer 4 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. 20241227 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzUvVmwLVt2lvfPbNZau9+nu/fcWw1VNEWpQyXUFZQUhYUsCRkQ QrICImRDBAE8+c1+coQfsMNvfiEc2Nhgwh2NaCwISyZUhUAg1BRIAksl0ZRU3W3qnnaf3a61MnNO xzdG5lq5ut2ce+6t66k4VaW9186VOXPOMcf4xz/+UaSUkl7AOBt/SVlxKoXrXS7FQlm6pdHgJfv/ 6+Zc4/oLyov1f59iUpZe0aA4VJbls5/H2IhHCCFTCMH+Xev7U1KMUVV9qpjGSilqNLitPB9u/Jsm VprWT5Wyh+p/TYqZ8vR+DQd7quqJpvG3lOVRddXY7/PC7206rZVlQUWRL92LlJqBct3VaHhr4dnG 1Zua1A81Gg2ufKYYk5qmse/iO1IsbY6H5d1rz8vKMzc88yPxwIP8jvK81Ls5mPNJ9ZaUP7NniNWB tkevKCh7V++DdzFt3lLUkRSiFLdUhLsqi33Fdl1EnWtUvE957u8q8ZPxa8rKk4VrVVVtz5Lnvi76 6yjToQb5XWXZzed5Wp2rTm9J2YVCSErNSGV2z+7x+iPpbPyGsvKZ/e+F30Qp10sq81sKIVfVHKtO jxSyseq6sf00GJQLe2wyrpXqoQaDQ2WDY4VQL97zpFIIhQbFfQ2KW8rC4t5YHoVe0CizO2rSuRR8 k141uPGkc9X1REUxVJYNlIc7SvGhQra6uWJkgdYrk9g3XpeNpqlV1edKmihqopQuFLJKWR7al5sp aldZGmzc3FkolGcD1dxC7yN8vGnGkvZU5ANNmoFSmqgoc03GlVLKlIctFWlL0rmUxvb3GJe6ylRk t7Q1uKNsyVjybKPyvj1zSid2n5eNumZ+gsrS54Tni+mxxtVYZf6y3dtlY1KdKMVpu9Wm9p9KmRmH IttVlr2w5XLtEZRrNLivybS097Y1uH9tY4UhialWFsq3de9svGnzSFHHCln78rOJ6vRQqa7tEB0N 7tm8sZG7v5lUxwoc4kujLAvb4NNJbWskyzIpDhS0rzI/eC5jNa4eK+qxvfPZ2swmquIThTpTUexe /ZyKGk/fUijWGCucgnSootizuZzWz1Qnvm/ihjbtK89KNc0ThRA1nVZ2G8NhqTRoVFUPNAyr7wDj PsjuqywOZnP37hisclv1ZFshnPkJdNUITMJEdXymQi+ZMeDFj6enZrG70dQsz0ONiltmLPCkLhtM LIYgxqliupgZJ2W1qmqi4ahUZi8jtS/WX0zIGjM6GBYs/tpbDsHuM9a5gmrzYIK2lGmksl0Q9hlt KzZTKQ1UZIf2XEU+tN9NqoeaTC8UU6U8y1QO+HytmDi9Vg0li2NUvqJxXSiFp+2GWR2c2k0dzdg3 TbTT2++nUcpONY2Vmoi3NffglkcTn/rpnEVzlIPNTVDEbtli2tG7NZo40aR6xJNpWL6q0eCuvdvr HlCMOp5oWj9Rke9oEO7Zu3ueweaMOrE1MhsB4zRVEx9pXE80yO/Zhu1GSo3q+EB5vv594QHjbdc1 h+VQw/KeynzvSk84RtZppbIczX52MXmilLXGqjfsIM7wuo4V8OAvObCIMCYV1zlaORgtBmt2VRa3 lWdDTesT1emJFMZKTak83FY5OLA1PZ5iJJ+ap8Wj2PMQzSTmbnH+OcjL7CUV+f61jJXNm17QsDAk u60G43AdgzXzss7mXlYo/RrxdaWUS3FHoxL3GEPFdg6rYV3iBU4V47mFdgqVlDW26aTYbjpirqik RtowMcxrFKFhfem0ZAE3+1VlIVNW8lLcA1Hv1Me1lXBvMyyheQndQgwa2UsnKvQXyu1dqMG1bu6Z YfNnizPj7EbrnqZ1aR7Tslvd1I3NzWDoGwbXnPCQTeHfwbNXinHx79adsBi4uTH3n3KR5wsobz7s wIljVc0jhfzU3t60fqBh8erNjFXDnJ4qKybmZVV10KB46coDb+U6NYcem3i67m4VslqK5wZp5NnB 7DesV7zaqnlDeb5+P3Avg/y2yvzQ1sRl9+YH8YWm8ZG9/1C/z/YMoyi2NW2y7lUtfUdS0onqWCiE 25s9TULUbEt1JFRd+u5moEFx137PwmCfhpTbGuWwzoN73/yMAzE0U2XZfL5Y+3iVQCKDgX+/HT7x joWrN/F+X6iPb17WdFsKp7ZJrutlYZHz9LK9sLLYU6pfNm8qL/B2MAph9pB1M1GMLMKx6ji2U8UW hJ1kfGdaOSE6U4H7XVWNhUxsaKVCWT4/NfHEompdti3YNIMSb2ozXuaLb/3v8MRSM1YUWFP73XhB OlWdomJ92/Gu5qHK7LYGLf6AdzAsbqlqCjXxoWSnKYsYYyQLbS20sHt0L6ua1oafechRapBfjmXg 2icMbwBra09H+wVWbxFveWcGxurMnt287MCBwwOdmaeEl3Wtq5h3g1d0JtAFDipbL81EZcGm07VD SjyJFBwTWv9dtrKUZ3OPh8HnB8WeQvM+VfWbyorFw8Kg47SrMt9XkfO3m+eWQ7mqn6kRHraH7NPm TWXZB+3dFtlQKd5TA37Fgb18j/LDGtPl3x1VNWdqmnPDo4qCcDSoyNlv7zesLuQe5TQN2OU9FRm/ C7P13cQt1Qknwfei5Gseo5ZHvK0H830L5FePlNscAG/wUPsWBt40VH+hBguDU4TDG3lZfA7cxD0K 3GRCQ0A9Nl9SVZ3xemxiUpj4JudvsqjYTOSQQovZXPI1ZqDiUKnBtdlVmY2UQlAT35y7+lmlhDEM W5ec5lcD+5f9nucrheHBC3rWeoKt0UpnahKhZGYbdppqvVFjxHf16uzUZhNkqpoHSmFs3hSLtjNW 3fc7oOuJBULXQX7r0pCAsTV82TY74VjdPFbKxu2JzVxc37vphidDLp+rL0v6lJIeK+m7lekb8Int 7+brxwyyro/rAAZHML92bhMGNxVXPv/qyAwXZK0R2q19loRnM7AD1r8ralofq0nH2ipfVZnvKgvv cyOcX8wgiNjkBhV0Xsum0TQTTRuMJhhmPU9q5eea1I81GtyZHfQRbzCRnOgZx4T/v6ciO7BDzw79 eKYqPlDIa1VprFgDW4AhZcqzHQ30it1vCmcqAyHb7kLI5tHUntTkChjMfHs+Y1lhIfikHillEylu qwgHGoxGmtZHko6U4paGllhgzm52CL5wFLUsd9RMt5QCHsRmo+WZMeLffRUFMex8w3VWdzI9UQwP 282Moeo8En/MGQC6BILbtc3ZAmMinNxSSViZ48piDErLRtjLqwtuxDYme95wLAsLb75BrztY3Ckd qoqchj1Q1uZr4rhRkL4Ykv4KPl+q9aOh0DfzwkJuC4jPjKsHyrILu+/lYVhaZuemQtqzBe2T5Eas y6ou3peHGFk2Uh6H7enpJ3MWbrbZCfPr+FRZtqMy31kb7mCs/kGK+oU05UjSNAy1n430/uxAdTNW lqc2c3ZLZXE9/Axj26QTpTB17wrYoAGEG6vOzlWG3RtkkqPdQxOjYU0cAszp4iBZtNOLAmrVzVMz ThfVa5aMMgxN9w24V3ZqGe8yu2uJjE1hoIfG7m0Cns+88YVQ74nqemSAuhmt/LamNZglxq0xYwWQ XwSwJ/eQCF3t/maHEYdkbK8z95IGesk8J0u2rMH+smyoMmN/+UE6H/z9SIP8FSWiFby3MHAHIHHQ Rg0yDPVoBeL5qhgst9IHagxPWo37MSSJEynsKc93bHMwIesWEbFyo6lN/ro1hlfB5iP8MaA8cZ2h MjFBTH7hGzYUZqCWF4fjRyPFpvbPaajcFlG+FuwEyAdfYdPfNPZemAOcPTxGnm35l2QPlfSaSv2v OtRRaPRqOtJf04GOQqlPShrhyea7GuEBxKcWTvJX60Zmxho8rTDDw4lt+JAKW+DrvA7D5/JtpTSy TesG6/oGnM1WNdA/npnXGOste99s3O4ddMbqs2ms369nGirq/9WhflZb+sF8V2VN9ulEmQ7MO+zm uqrOleejBY9ycfrADIcKePmpNs+a/8vzqRqA4iZaGHYdo1U3x7aG8zxYUoRkTtOQ2XLA3MPBUnnP wzBw2RIXHAxnqhLJEDyY2xqGe5o2ufJQejbwkiSAYdWtAcw2ZN4DiSQwraY07JODkHdaNZWFsRlz 3jNWrN06HlmI3WLh7bo+V8jOlLcZcvOg8i3FBK6cLb3XU8NkCWM3rQn2T+d19ecZjwqKQ40hzK8f mvfHO5KnZmE29ZZNdudluaEaGkCXZ9utoXJ8CjB4Wp+ZpzMAtGsfEos/nfKZOHOFmTROXcuppZKp Uxb8Zc0MFD/LVg3UujEsbiumPdvIMU3VNGd2rUyFgfm8ZMs0mufDQuDkym2RDHCLn2P447FiVr1D xpFy/X3t6UEo9KPpSC+r1t+U9He0rxRKfaeCdmxRkZXNDVCdhQL9ayWeY195uzhSrN2QhGPDqsgc ZhEcBSxhda7cC7sp3wmc8VwpgwKAp4rRYF7BxTiohmas/n6K+o10oW/WM/1Bwjeb3Uy/GAodhlJ/ OCeBs2Uhiqf5k4UUjZ6pqfcc3F1zbx5yH6qJharmmWI6Nw8UT0np3LwJeCmeRt9stPDwYmh5Q3gd rT8Q2yw0GS68zowscWt4HGs6U91MlaulK2ismJ5oWknD8rZx2bja1QmEYHNFKFfHR8rWZYcDD3yh qnmijCxoVprnEuMtRRGK7cyMFXusbk6MmmFeoHEEMU6OecZwpGlNwuhwnuxp/9uxY+bu1HHB5F7X ZSH2fG6JYthH7vWCjeGxRmgQNzgE31GDxcvIwo4aMneEb2apt1tDxSIsZ6TApj5TozMlI29KRcTz 8t+btTeKAIYPQzRojRz/8pn3NPegnsPFbE+CcXwmhRNLzca0oxhL1REsgp/7xvNUNidrbu46vKvn GxgbQpyoJkFEBNvwgc/1Wxrol7WlP6ITfbsuhG/0I+lIP8ZG174USn2HgnbNaI0Uwi3VTW5GC8Pq p2euTLuzVDkhNacjxspDaTbdiRo8PcLgCPi7damBshO6ufCESLb+s513FfI5+AuWlOBGtOMXlfSv NNXHdGzGCoPMbz+RTvVIhf5xuKWP5EN91E78rMWFAJ2d9xObSpVhe467LM+thbYpqAngnmNlM5ww KiXw0OrKtYKxA4Ppg+0ZuKARjv0f24dQdR4ONmrSmX3OSbzOiysMbJ4D1tcdhgdpX7EmUoEbtTrs O+KRZZ+HpXOZHDLww6x791A8ovB4obfEmSeV8S9nwYzVpMeaVBPLprKH54YKHBkOI1ET66Z0jt4V g++dVOwfDB2RSW1rDx+4bkiIFDc+EN8xJiBgo+yFkfollT83VKSZ8WSYCNjB4DYYW9KiVX2sPL8z u84gP1AU8S4GqlTI1od3zzvwrEgSGEibVwqpW9RbFoMD9HenG+AtYKmdqropgLs4MLx4NqHJ1STC unM1QRYK/rR2tBeiPpnOzFgxPqKJfjgd6e9I+onWaP1+QyjarKRumadl+E1sjH5hQGtWzqgCnmWa A7K2GcNEjSU9Jor1XnvCrguJOaHdgGPMYzow4LUfFhN6YdCSZYl7f9toAQthqXMX24raahc+b/O3 qdJ3pFP9XQ31k9rVqyHTPhmt+mRmrOy+86klBULjAO/yWjDcyjbXxHCsuUFhDe20G3rzgOcE3cbv dHF4QoMN7gcC4en8ezlYx8oLstAkVQgatpWLeV3Eaa83MChQYMA7Jwv8RLtP8CroAXljxqhu+CxO QT9JAshOBpo1hlNAeB/sHhe/isO4Ul2d28r2g4f3fWR7NCNj277TSKRhOO/lw9fdubKCBEjvq7Kk pjpVMjD/PWKw2Chkw2zSl9xfaAmcwsqInecnGMssJlxWT+3bDRZ4QHOM4EUPNlitxwZsGqEUBkAz US7nmMTE6/ONYjSIBBZzcKOTctOYnYYxUxUzvamxPhV29CWV+r50qrtLuNRHNdEPpSP9z8r1qbSt 3xkK7dsLZ44LlWFfWRy1uAc4nhtVQt2qAbuYe3L94QYZPlxQmfDIOF2dSGsebFZYZsnJkzDgp5YI wDDiAfQzZHxP6FFFbI7raJSSzsv4VgV9UaU+px19VlN9sy40sCA1mQGDM/ZbcayzkGs/dKf5EinS mOaPFWI+C3v6m8SwvT4dAWOVdowqchV+YkaJCMHIjjDHl4mUUAm6zFsXNmGgJkZQ9jklZOSebmmQ L5aT3WR4Rm7LwrzGqkDqeQmWeW9dZIH3e2xOASD3/F49VIWi0XlFHal4XTUJvDDuFaNdRw6JsbL+ 8xuwBn/y6ooWn8eR0hrvMAYoEYAAmKDrR0bvaK3FZlC6pQYs86WMmcvpeaHSDNX1h4GHUALajNb1 AXEWFkBp33DCjq/sdAtpYAvRvLvE6Xx443u70mhlOwJe/tfpXL+iXN+lc32XnfCrg2U6UKMD2MuR sAfSnmd33AAubsYOu/C0+OX3wqImTMdI1c2pqnjkbnsc2CnrtJIu14gXeqqU9nrExrF9Tz+RZrQK lnd6JmATMKkPZaX+w5Dr72pHv6hKL6XavKsvqNQ/17aZpo/rSKMmKOa3zFtPDbgUWcf2PVl66swM U5eZmgPLGKvznrGCerBtxsppBJcPx8HuWLmMHaDiWh1FgmVLtHDQ8qc0jxrihfrLLqaggWFwby/j 7HSWfaV6qqp62NJ9Gm1t9cvIYksQHam0CCTvGbydNnt5Yl7nWk4Z9Ie0r7J08qsz07tah/YjNgXg xTvXzBo75WESCTuXSuryyoiwrN2bJHTe/eIwC4cA33dUJ7IVy7WBhADPrjQKBr5zcrSYhIdx7vJa OUx2vYJPFnoDiG8nh6GYzttpsxq5dlv3n8zU1gvxrJYHbvE039FX0kiTeKYPhkrDNTXpn9dAfzvs m53/3nCsO7FSRc2ibrUbdvXkZG7wjrLi6hOR0BgSL9QAwFk8YGOHxGCecP9dWWKDkGjmXdWa1GBX c7yGQc2cFXtncH/ABycq0p4+ko307YZX7eqfqtZH01if0ZYZre9M5/qDOtMgSG/GTG/kd/XB/J4O CIFih8G1z6djxQi4PHD6QTxSDKyruGCsSD54VmyyEMatzAHPHseGtwJH1M3Aw+BEYX8lWeLoUEW2 tD5ZixovVDmmmKsYvJj1wrvNAp4WISlJAyc/W3ja7QcrFSJptL0AaLNms3BHedhuQ3rmp1dzmELL jXJOlyUcwOK0p0iZWwayCoUBVvtea7CuNh1mS1s81UGA/u+C6nSqIu1urD557xgsQHlS5vVwJS5n N0JYw2O67GQyFnI88ewDIVvm7GwWaAQUtNBmvUvh7jvXJ9NRSs2WQmQqihYn4xTBQOVGhC0SWNA7 w8s6lvQFJb0l6XbI9Go20k/o0AzoN+lCwxbDekuF/m7Y18OU60fCsX5nmmoIeTY9U21ejG+iZfzJ FroxoactS3r9AA/Be0nhmdWKQaa1IA7Pbel0NEA/7Vpo7KAuoSAu/jEAkIVM8xDNs1DmmeUcKk9U NRitfX0829FbYaB/qT39CodYSvqkzvQ9OiMY18NQ6KdU6zOp0ndmQ/1w8bKyel4IzsFitZyGjYY2 7JnMNof9Po2UY6zUmDE2z4DNu8RM77zRqnlsOGBBoa95UdtWEF83pW10aC/L/CnHzEjKtNCB/dC/ +0VUB8wxyGOVAw8BMzCmKZhZd+9Or80pkVlzcJmXVuwqi6Wqhv2B5whliOt7PSBKJZ7gACLBUz4w Q2ZzGLZV5Bir6xN4uRagfdavwVy4qQt7Z7yT687TV8VgMULrZeEVLd4rIP1U0+pUo+G8Nmt5ABQD NIbiYikChsU0NjC9KLpFyQuvnZfD7/nbWKmwsgTA71tm6DBey4bJ6wH1jgzSDb+spB9PjY5So2/J Sn1XGOjnU6a/EQqN0xN9vS50qKifDLv6bBrqB8OxviVdGGDNsI0bjlVbneBdywr2B6frUHdskXoW kflercQnxKAW0UpyysY8I8oynEXfZ+W2RiB4dT4DL5cwrBwQFmYziZuO6c5m6tLn9t35qapmrH29 rE/mBzpTqd+ME308zI0V2cKf0bZ+Wtu6o3P9ZMr0gazUtxf3FTBaAdWLkQorOsZQc6+lsmbbPW4C S6N17FlIGkk45IT6MMelMi1iWW6sCCWPzHA38YlSU6uQs9EHxR010fG9VbjBvX37HtLiVsPqONim jUz4aHAEFJoNHobXylYtLWSsmB3Pwm3DhwqY+F6+5HsIku2WJag2jc7bqpqhJ3vS1IjFg5KIxLOC MTxTDo8sPTXSdZHd3Uj+vWpYne2G/QMexzx4dFC8tw2W8zi21fRAWouCTM4EXhGn1RqSUm/iPVsF sDr/uW+UWnU8VyE3WHZqVOgVUUxbWf0hc99ETnVqmt45UH/TwNf5rJL+EdhHOtXv0lT/Ku7qPNvS J0Ohn9OO/qZyfVzP9E3pXP9Qu/pD4Uzflc60uyZ7ZV5p2rbwaJlTxUYeGPVhqMrqECcLMkBGvG29 IEanp+VGi885H6s7jQvBnN+dYR2EnBAPO0CXf1zTCb1OuOx+t6xZ9ttToz8eT3Wsp3pZlRlieGhg WZ/Srr45jPVHdaK/mmD972svK/WN+X01zSM7aAjvOsa0Ac6COJlZaGRZTG2rnlFTurpNVBy4F884 Y2igMVgmsjXmUDHYsNNmangWOFAfs1oeUG2ydNhmz8guh7XZSPc6UM94YGvdDk0LseY1s/65pi0C P7b/LjO8nbKtIfUBgRVagwHvRmTFEJ4otwNleCUmFiJyMKdWfN15ytRs5mWaH4Y5OGFLJrWD4fpG yzDVYlfV1Gt2Z2Vos99DyL1Qslz3e9xgOccKIHvL1AqMCBqpdQJA3tKg5HTa7NrgDVVxZJXyMtyk f3EwrXPFSHaG3BOL70JZ2WXJ/LqN1SnurugrOTbWUjJsUb/YaWI5fF7ST6VGJ+lUP6Kn+h1pqn8a pvrpeKAH2Y5+IOT61bClT8dC/wx3PEnfrxPtbOS/dKI50DLap+xAhDY0hDOUNeWsRIRN7OVJjVXR 9zdMV2HfGR4vhoYO6aGgzxOeyIXq+ETLEXNnuLpxcTFpr+MZzSJsG5bJ39+Ox7qTz8Op18G2tKuX VOtPpme6pUZ/To/1FxX0f4QDvZIP9Er2ivJ11RHUoobbVvrUJSLUkNrH60JID10njEOhqoZwSdBN wPhg7YZCnoVyEtbEMo1j/jnKYrwEqXvDGPLldWNcuPpUjR4qyz1BZPfV7Fv46fgoGGplnDk8IDK7 hHl1fa6cEA1Vj95jd+oH3f2C6TWxM4DLxqXzrN0Alfm2/ev/3qs/eNmxNweUCMHRoK7wZkaLA4Fq hdSQXT5eKSMjmYOHfpkO3XvCYDGIXYtwS02Dm4reDhySm0wGXKnBKqBnOhtsEEiD22aQiMG9hEVz TpX5OWnFUNmi4lQWi5QsFYbvxU0V3/oLSvq3muj7dKqPUaqgpO9NJ3o1VPobMeqvh139+VDopWyg v9dEy5rtWagxH84ramsQE/WRXi6BEQBcdk5Ov8AUwHaoYYYgHjjFU02rcZsaXz/v5hUZ0S+ZVlhe zjctoQoJErCpywaZQryBTu5mOskVMJ4BMUQMlQsFOrFTGqRCd/KRzjXWo0RQFnVftf6UnugvxIH+ ZratPxUyod2wbokvM/Q99CMM4pceAlkmOBypSR5WlSX36WHr4rWYBDKPD61SABa9P/9lm8t10/oD z4ui6BhQb517SRk0BfPkLpTHW54DRmmC0NSwQ9xaPOCpJQ4I7fNiVZFhdr2cA4jQcbQQ8jpuy99x LSfkLtfyYdxH5aua1F/xA83gFbuqMjhacKrAd2/oZW2PXjbM+Gx6NsOzvKzJ1wP3dlk09d4xWEi1 DHAHbyLhOh8FZQgGhpr6yXxYxQvx8alK43ABRm5pyoIMZFd4bxjLA8+QmPwIpx/CZKTOJzOPwUTt msxCqucDUFdfBP+fET5V6Dc10hfCWB9MlWCsfGMaK9cT/UXl+nFt6b9Srk+kpP0ECDrXqSJzh/yx JzdP3fPJwG8Ih5/Z6dzU+xoUYDyLVfHMwdbwnqp6R9P0ZZPnuUzNNGS5ygSW4aGRfX/LnCeEKG2T z0PK5eE6SOBjjmdtD19uw5BMZTgwTxtlTGgKUqnfpQP9yWxLfzGV+suS/ov0QK+o1u9OE/1QONL/ Fgt9fTbUJw1yv95wFv/Lqs3DOZEoHTIvP6kISZMJ3KKk4RBKzOqDACPUzUPb9C4Vff3snzO+HymG J2vn2ek8FxpPL+y9FgMOiv7nOJg41AvlFnYuSnQvj6gL89LUmx2yn3jWSCgBphMSOga5aNwxxmiP TaoHhmXNEhcc3OZQPF/yybDQtGtgPw4ECr9BByoJtTdUTbznDNbbHSYa1lCzeGYKoIsDgP18Jr8C 1pEmt4x1P8x3lXOktsXA1KjhSqNZ1GaJ5yMA0J+qabZU3EBLiWGqp7FWlgOszqca8/E9ba3Yj+tQ fzUV+oFwpN8LrUBBj0Ous5T02+IjNdrT/WJbTf0BTeIbZkyN1xD3VJaH5qWgJEpywHS26ycmbWJK B+lYE8K9/H4rj9x/uGAh4o4+rEl8vdWfWt5MMPsz5aaWQBbJQXYv2aCk6okpphJSOnuacKYTJpyn 2xd1ywfKinnJDf/AhvLsvtXhmdEoD/W7JP1wyPVX01BfCAO9Aotc0ocFpuRFUTeDgA2pslpEL/5d nAsoEdvbI5P2LVoNseUDijlFEsjF8O5ca/O6Lj8661QZXPK5hiytLWrFpq3xIxwzXf7bGpSH7Zw/ Xl2jy+8rQGgdLoH3lNY4vQWDN2keS5WH9+CRfY+LZ98a3lcTkSyHOrGIr91kmAaXg9NWZjcdH1np z4i1m+Vt6c+4zai+ixLJX61hYZB4OWtKBXBjm3MNWj3y3S1UpRhJ0ylFow+lHLJfs3YRsHAAUk1t 8YZaSojFTes3rJYtj3dcYL+XEsZP+UOSPhBK/S0d6H9Kpf5weKoPpUp/Qwf6tnCuP6HHmsanitNX NBj+XKkbAAAgAElEQVQcaCt+yBoysPgQs+s4YZ1We2XqmADgPhfmO8YTnVeVtoavmngdy6b/qKb0 Gj+ocY0uGLhWT4eqGWqADIrVI853G0zyKj5ucZgO62p0dgZ/ybNCoxFYpDSZVDPvympFM0pU/L5r Tv36gWeqAh4iOBCnrakm6bOKuq2peZ32eQWbq68NA9PNugnDCTLytHkwUypYbJQw0faW3y8a5Nwz Xg9Cj8sbFSKxFe5fw1iRmZ5UX5FyvLlLPjcTYfSMLBVtlA9SdjQs7ts7srApIRHthM7Fwd/4WqXA 2oUA5p8BGuGddbpvM6pKDi3oVPWE8JE1uviezQPbaGSvDuEs81pfWAKEQ5Qs7aAIyiGp8pyRiokH qqsLjQbvN6/v/7cGy0/xqekqDQeb2cKEerGB/OkL0dLKESwHUiOZnb5X5IaKhZsVZ2o5j2u/u5rS WOOehgOExm4oq9tMNWm+bC+I6CKmR5o0jQaC/zP/UszXxyjeCJn+lrb1v6RS22GiD6Wp/nRbzgCR tomvaTwda1S+pK3hK63XGFa1vhPbfF7H19jPogbDiar0ZY2ndzUZ3DHspz9Mgrl4nyb1W8bDMuMf qX9DsnlRYA4Fi7pxL2UO6PMeyHjlGm0NZiB7FybOhEsRhgVXa71N54bBn8Pw4Rk+UV0VJvr2Wr6r nyu29DG4TcmN1a+FkX5NO/pvA8n7m7yP843GinC1QOq6N58YLbxGFA26DJzPcWGYJgb8et1+vqJQ wLTbPLxCoEtGtNnOwt9JBqO+PYxMHLPc1nSCiMC8xKquQIJuaavE41v1hGwfpWMrq1oT6TohOCNx 8rouzgrtDD+gsrx8dtmTwAHgo053WBW1JAQ9n7ymvBhT9toaGt9HKKNOKv4b/JPaSzKnT02ksVMW ec8bLDZcXXMSuJdgqgNU/JPkiR9SCM61WR7muhMWNrjBIyuFyAcDU0Jst9PCd0yaL6kYxEsJlA0A MxmucGpSsNkNZGTcWH3JQNL5RkVsfy5D0h985IOS/mzI9C0a6Ddio082j3R3KfMJztN/5tXvpSJ+ XptpJTF4NCYeLz0I0l8PjT4TJ/pkNtCfszLgxXkclS9rUrkaBnLXy+CylfkYk/xoKQXP4dK09YI+ 8LDwXLiH8ZimCWSL9mckQWNmW/qhp+qAcTNlgxPd0lhfm/b182mkz6T36SPZVA9U6BvCQN/YGvvr DNf/oo6S8pr5z7kv3jP/3XUZ6g/mDeE/M2hmtCDLUj84V2dYPxxmmDSvKxQ9Ium6T2KIa28Yslzf hyFPeD/1tkqT5HaQ2rpTxS8b3y3XbW2XrtO+GQPCp0a9AvIwkuKbDuhK5ZCy5teUqlc2ZumtxpBu QTmF0bkZTJDEMscTnxNlO3Vc8LQVDDckjRE3bEmwvJiUTlVDUr2iw9FX3WBhicfVQ6Mh5PCxOF0W utrwUs9bDsx6L6ssO15QZ+nXL6iuMUCMb6x9cXXlqtfeeolJvDAQ3lUBrj7TMbiT+Jp7DKEnhZuB IS262/3BTykT/84Q9PFspALBlfqByeDa5m72NRzOdYrW1lGSAe2Y1qa42uZ3skxfUaG/F/b1y2mg j4cj/bO4py+Gkf7LpUwb1yekWCcDbfwhwHxTfFjtqsLmHvZ6J3avYcjhYVwsPMWJLmgjBffJdIcu FjT1e1dEpFf/mZ4Yw/+Xsi39izjSVrarPxMokuq+l4zYRauUuX5t4AVQCoQUcCfjY15N22EIr4Nw lizmyt/mXppLYidHf708vBIasLmwLkhoYl3elo3v7XtWvcc3rM9KgHpKq4EkRblrEMF2m629Cqy2 RhfFvoq0bYdajUwxkjstqN/RWrpwlBx2nV5XnN6xtbDM6Cc5wlpzpQ/kYjwDyvxWU2gSDs67yN+e JvXRSjcfehEWJZp1fRoN83Fq2fws233vGixX9psoI1UbLsl6WEo/vzGbduFzIWhY7uts8lS5lQTN X9p0ghyup/G7ifQ9e25pZms0sLGJKB7GWFV6Y8lYBZUZ/QCdIX3pvbVg/AAwmlqw4hUrkWDxWy++ S/7e2MlWkuLfi7djNZVFYRselvwvpZG+P5zqe9Opvk3n+su6p/9aW/rvMOILc7R+A9hiB4foydN0 c8fGA8da+HztRsDDBSc5yowTCZKgymSpWfQb6BSWSY3aUaVXUqP/oKm1ld8xw97NxAQycCCM3LLm o+syd66euaPUYHAfehUE99YC695qC67ZvKPL/Nk4TPY1HHgpj7+D1ZCr/10dwVL5+zWtX99Yw2m4 lWFSS4eDiTrutNLKHlX0ExcZ1IPBevHCS1WAEQQIhyrTrjVvqWrgA4qh/f77zX0RLYzZI42rWsMC SKQ3L9aQZNVjIjmVAobrQs0EBwLPj5Z6GB8K1OfrguhnFdJwnXjwwcvGV99gWXaLU3ipprA3kqVp 4S68gK9jg2Z3DRcytjuKAHWpogRLcWGzxUHH36em6b09wnCs3oQBt/VDayk1bzLAC7iesVq/yWgu +1KrPlFeLUIY77Th2rm3YIq5HqagT2Uj/cu0pe8OZ/qP0omA3XcDwoGN3tK5pkjKXEHSpcNKvSQ0 2A2TIDZNpmxlQzoZtXsmm6luxizV3xmzywZeym6SdrWjrd6H8ayS0QTImlaaYjQNI1yFDgz/QfGh bjSp32wPpazH6ndmPhnC0lq3dQ+33VIYdjbqjzsbnRKWMOvY7N+303agofnE+eq8gVv17sPnEuB8 TyXfacqhU1t7hM5s/CJ3tv3zasE5P22g0hoCj1Q3uxrXb7TJheXPog1/pKouLUPZiQGSPKKlWGO6 8HPYw/+GPUrJHLyyc6neNhy1W/2uEQbnbb4uGFAncmph86tlx7/qBsvkYgMNDzZ3WLEOxjcskrxs 0KbrbDJSoIVRcVthAA/oK0DFawFR0/7Jz0xcEC331Q3BYqUBAGJlzcxYXaXbffnw/m/XGSQkSqui J/kwNhfkYTHQp0PUz6WpvilcmL4WxurfhYH+mg51GBr92USj0qhxdcukojdthGDV/Hh+bS1gO1x5 M5ont6qkcT0i4HUGC7pfI2mS2nR9MW/WfuKtwGKtIlIjuLemJtTLURjoPDl9ty/KxzoM1pDWMK2I Fj6Z2O1LjBWNNo5MDhqkCDZ4kcByhr0ONHnbSKINo7pW9UuhoCk76ECFtWsftIaQxqYQOFmDY1VQ Khq8F9Q5nn/r2ntu+woUxSWHRkRyGSgkWyrzOlSMI+9OBJiP1z27BiA+MuKQl8ea1lNttZ5rx8db xD/9YIBe0em3vbcNFuUettFIta7/jPfZG1sG4bLCzuuMbiMBMBNKwtx1puld1Wxg8/R8IxrO0Z7A LHDImCiEdnV0vadopZZftTQ99WFvz1jdfLjb781oGU9C0L9PtXbTWN+hc1N9+EzY0j9Ie0bh+E/T U32dyGLSUp26tqhhibzI6vzCYRuaV7rTamvhMSAk5/Oz7N77pl88RZ97wICPWyoGg543S2nR+SJv zOgYY3uHFC2XWm35buocacvqCJsKMH3RAyRUMSGUKtOo8G43m3FDKDP0PkRLv2Vv66SV0OH9+8HG 2h7qJSsjg4RszYNhFOTzUNDwKvMwINHmbf3gk7ZbTpcgavXxzZs8U5ruaDRwsb2bDiMX23t8trbj 0hx7Jcz2RiSw9CF4EnabRlqriVVHvCgY/IuqDEA4jtF54oKBJM4KXhfRrccAs7ff40x3hocF1BBy K5tlV63XYTq4kXbOoqc0baWQaXZRaDS4t1i+QYNTMoTxkXF2LBTDZZ+lbAHkL4x4mFE0vbQZPAzo qvnnHUW6sgP/rre3g13KOK3wbJbvg0Ew+dGQ62fTlv4f1boXav1KGuluaPSD6VgfkYPCk2nl3YfC UwsPvSdkscYYetMQynNMN4syk+ZEwHodWdSf1z2vstwctnTqDdfxltEhhaLS9amcVEe20da1kMOD 4d1BP6CHwLLBcpG9UxOPwyOi5+BcsdNfD1jlsHhJxRInafE6rpHOWlhsX8//pjV8VKrrmdy0FWhb yRS9+ZC4aXXgDFyn1MUNHObXGmeIjkPLKibd/XFQUGtIyHVhqhl4nzcxXF6CNm7VUVffgWGvbT9C fo/kDsRqOv4UpnKxuxhehpGaRPswdOOhO7St9lJSOSissqSx/o5LysNEIgGayPWVIL7qBovhDSU2 kD/bYXrUJst6fT0e+zvTBKcc40lbRU9hNB4b7nfrXfUMTl3hYVWWvVqmD7BJEHKj+zJdSlbbhnXN Jbrvdl3sGC9MqfR5Wxt116IMxjXYt42AiQu9adOjiv8H8IBio58LpX5DpX5nnOiPZ64MQRaRHnZd Sp2THw+Aw5CQYy0FwzYf6X2vWwRz8DmhAS3YBYqlhFqeBUw9HfB+6Y7Lz6zW7a0+s5cgWX8AS2wg LPhoBfjvA7pmPDPoMSfKIlhN55k1ljhoRI0en2PzxBaAd6NlwG+46x2JN0q+wBnyEq61+mJoowPs U45TT2e4lmNbeHQojCASSCKJWlWwqd1W3+1ZC4RDXN08JzVZzQKJHQzEVJP61Gtxr2m4eLcA3CZz TXbZjEvRzite5l0VBQXumRlY9DOsyTDfjTFu5oXgdpjR8qtdE41lI5E7OrN59YoB1k7bxLVdc54q c07bTSKR94bBMh0fjMfZJR9qy1zazjXLw3ETQD3vbtNvF28/R7q35WbxY7Ikef7SUt80evUdKkQM m2MHq4OSnzM1bZeZTcONFTV9dO1FL8o55pepXbo8iBMul9vdU5ZBtTuLmU43sRlrEO7Z6bZuZKnS /UhXmmN9IEjHKehDcawP46VZV5euZMkXlE1xhsE5Et0wPKRdfzh0Uswugkf4TJEsi5+QBbyv1cOy +fOMpT0f3SjQyjclDO+kw6b1bt7r3itdanaMSuA9FclEUby0Orz1lvPnuB5igq6ygArCSHW88JC+ NTKeuczUdGl9U5C444XuGzYQz8kBhMehjJrPDVbFnoX1eqRpk1REdNeco8S80e8xBiCEOBMfhH+I kaWQ/DLHM7WMd4cpGBi/iXVIR5EEA+jk3PzKXgIh0teybO9jx7pEIShgVRm0j7MGLR0twb1ijzJ4 d5Vhbl21RdeLMKNDlnXMpAfA2Yz7xVx3CRpToc3wDCnPuZ4DYuVFFPTrPTA8jCLU6NpoYfK9nZar gEI6nOtUL0gkG2aAdAVuPiETnGi6yJDdcckUQNCqHswaBLDOMGAxIRu76CUZ3wvtKNuEPV3wmV4X /Bg8i80LYt5xBBxibCUyqGRWxj2idGJ9UQnPAZXBuopEvCfCMDqhjMxLVNE2lA2VYu21eOuv4/hK Sk91J0z1+9pnbgIdfl0uBjxhXTMCNjT4Cdwzx2E2u+od582v0y68fPUQ6erJzIBRO9i1GesMmhk1 /oHv8I4wbKyFLcMD/fb9PaZ42wxBPxRzkmxnrFoDjMEwHXlagoHgkYxYFnuEVZ4r1cnKWrpU/No5 NdIs79SbWzjPrXv2DfNjmlpHqhDhq12bvuu43edzeZiPQaMXIxnx87VeVmqTQMucMQwpaxtxSpqU NjUFxZ6EuQw68IRCaQbWtNWbrktzsSjLbM3nurIe/hMv/8ioIp2MD+/PVHrZywXfDbaFJPOZ8ato GuIeNfWOdHQiE8o+vRoWsHaAVkd58l4xWEzeSHW96xyNtueg7KSjxXXXZbdYfAjAPivqbBUm6RDN ZkhMFieNM7WtNT3a0bi23XfmVdsbbXFTdjwaTmZcZuuYYxAWpz3CaLS3ujz9Cr5DkSrGapbKh9uS jlU3fNfhitFybamptRkHQK6pko8wlCnFgHiKQecadN5lceytzap0xsq0lOi83cOW3G603s6l74Os LAqXOzeSElm9TqtHdcXw4ty5weo6sgDq9qWMnWd1R7X1hQQ/wotxA9ynKsy/v7FFDtbGnLJflg2M pdTJ5llGcL2xAheztUbXoHxqtXDWwossKde9pHTLD7xTjStvpcZ3Levv+6HqnbaziAovGlHuMfUN V2xVRrJ+pYYx9p0q4A06zo1pj+YXreg2JancAIMLo7y73x4IiwqpNh+pm++jhXuxzH16pmmDsmto jTMdpahm8EaxVIhkVIo0rF26YZGsCRoW92bG+7Lh7QC7Bq7MxXvEw5q1Bcvu+mlh4GXWMqp9AfMP 7fIy23PDRZhH1xZLF/ftdJiDim3xielhZbvu3oa+5AcCbrT5XuTuGJ6V7ZnoGEbCfkbHnAyd78sB Qtxoaz+V94xVd13TPqLaP7RGa7DadSWfSx+bu1/5JoJOAdj/Of5pqpfyfX1tsBYZ1zBWbfNPQgnI nJZ1vbzlk9152mRcOGHxVjzt/fa7wqBc4Zr6Vw2TsU5oW9HZh4YZrrywzpOA62QcscK9dtc97z8z Mc7QQkG8t3XPynMavYBei73iYWxUbK95Zakp3m2kCxFeEKEpB4E3NOkbdMdRycohbMihS4NhjJd3 JVcsLZNLBYY1ksjqGSa0sH7VHfprmpJEFG4xwG4U/ZAIGg5ubZjvgUK8bRJLrF0/wDvCNQfbs3nF AJI2hMCzA53DgDVCMw+eCcVfEjuXe+4OjYxnRdNk7ruPv3cMlonkb1unWEA+C3coW7dFArcDEbmp lRjgeZnrTmbRmLfLV8PAeUbNF7MvhAl7uK12t1AlnKqqR3Zy9723eQp834j4JkNuLva8/92mcSXB FU8rUmO3yID2rj+ni0uM098yZH7BKh/p09lAvxTHuhVyfTwlfXsIQoMiR0wP4TcjeK4aK1ysPovf Zmmd0ZqFvSPzdhfvkSwqnXWObMNQ1UqzBqcQPJ/R6kJ7n48upFuVdllV+DxUVROyX5h21PLnOwPt 4Zc/R+eNmeoBhpvmC7rdgvrL9wVIjzwwgHOvC093D61GlU/YZkE9RmdU7DAKtOLCWKBdxuHncsZ9 j909rlErA75nnw+6sEiBchlr/S5oEnjsxxoO5/QMz9jStHYxHOzwUYyGNdu1sijn2DVkJuN6NdW+ iiuHBAXL1gXa4Bgvb+o693hCCP04KBH9fgyO3XXe8ubmMNTx4iS0xtRqY3Fg5p/5qhksA8LNurd6 3xYisXjrNY0l2mp56zvYdgrOcgXE+2zhLJU/mAInwv1ot7v6I4vcmiqYQfFFbKArMsl4UWuAVo/J 6bLiBvU6AwmXWN1SbHk0i24KJzoLlAU1WJoLjMxisSwYXt9N/5e0eU+Vvjac6iIF/aR29FBDk1N+ yU4kSmcWjZURX2Oy+sj+Quk28YLRmhkrT133n9lrCSlQfWLAa8hdwbKKdEqk5u56GSpO+M4oWXOF NmPGWjAjYIkRf1/uwa1ndvthRDizemB1hFav0+uTHj07RWYQ44hOulMPVjcQmKHx8pba1XfvxZuy olzq2u/O31sdFiPUjSlAdF/jfCUwzXML+yMlMzZ/y3QSx7os6ZCQR+ZdwQscQr7QxRiP2cOs+cMX 7bsr1xjfZ6b9jxGYPTIJggyC5zONBvOO6w4ddHSc7pCgUzlGC64YCTK03voY72IN8PK47BByY3qm aXVsPL+iaOWal8a7ZrBmmSQDYflvMChvWGpaBDluuXfP2Mh6p1ygBzR7rzQ2yaLB8k4y3l2aTAgF mVyuLIYzgf3ZyDZnH6+LwSwPNkHVBAfdWyKqN+Ak/EAIj1RuvhDKuV5Rv8Mu7PLhjDCJSMmPpUav 6My6Px+o0V8KSb+sQt+qXPdNex7N0rYJQmusCIscFF0pAVsxWgbwBzwO2nf1WtC33ZSnhEbGswHD iW04NFGD7C8sb12O7RkzvKFFFynw0gyghRnWFMQLzz3Mcg+GcI13t05L3cMyOnNjUOorjVU3LFOM pGeD9tadjZvID5DlTdO2qKfFmcnM0PQDqIJ37ex562lpmxy8x43jOjFAvxfWs3fySaaMC2cJ2IC/ zdp5yjavxRDbtl7t+jdbsbfiXVl3c9j9S4oV3YB+gjJE13HdDye6EiGuuLPQlNVahTVusMkCema/ basG+TttqRx0VQmeQeZLLzvwwW4r6BMonLaHNvy7PtDTRQrvisHydDBiYbh5ZPQmZuW9sQF3Ax5B Rsjj+mbN5mLglrtKZRvqGajII6zyYQAFU3hoHgMSMXg+kAlhQ/cHQCUnvYyi8GJ6D7rA/4G9R/hf 1ivPPJc7K8bK5gcsQEjXLtyZt2xqJ+LnJX0xVfrP9QwtB2vt/qpqPaB/HzmwfFtb1rG5NKwODMAK oClKbguUeb5l7tPMaNW5ytLT+gvZWBMB9AargMEun+Lp6XmIObHGCvBzynB77eI0mZf42FqS4aHE Gm8Kvttqg01PgmFELwwGwFMelPMUevc5CJ4TpLvAUSypcbmx8ka5Q+U60GC4uRSJAVYEI56MJJ4v 88B6o6ECwHJ3L967ct+oIEaboMFFKhUDCSHoBrVGPRWLhdsx+WGwUaeQUM1RkYnk8DJCJr8jNF/f CqzIKWRuJDhd8Aut1fzegnflBvDMhCTX2mZLJrH33Fg5GI8n7R2mpVdWiJ1UnPCPygecAsJAS3zF 3KooWM8UW3cMeb6Xa6xvjOEUI4wVmBxJHjxSDloyuJYoQr8lZkY+fVcMFsqLMGVDcbLWW/T0NpsB EbJCqcoWWsfPRvA+bZ1yg9VcJQhpqwaOK055eKsdu9Bd0Q0XIPPJgkBA12oIo3ZZGvimw0+j1mil YyeOLjXgtGfHAMd14aC3GO/GP0y0Sp3ow2lqxorxdRrrF9NE/0SlPhRyfV3GItlXXXGtcU9BwVuO 15TMLHXHYVjiobg7Y2bP7sGME5vokXlWlAzWPE+bWl80CrWTMptdZUtS0iZDbZ16yNa1vCvEBcHW rNHrJax4kUj4ihn90eCVBY6UyeEU9zSpMarP7KQGT1l3vXlT1dv2XpbxHcKmPqXBZVluq6pzI4nC IctgpEMqXfL2vE6RjBi4EzQBNt22NXPILUxuQ6WFG+JfV5bi3YOmDQb9VBktkmzfnKiuh7OGrsFC 5fn7Q+IaTBfWO89PVhAwf8Y/NLItdAASBmsoMNZSjwTAPZUFmNjEmoo0gS5I7rVNa7r0QIFZLZ3h WWOD0SKjSUftpJDTQi2pzJEpgufFtSZqqr12D3SNb9v3a1w8aBxtcqtNoDhp2J7Sag1p11ZmF++O wTK9cfgXGwuciQHIOHQNOItFILNtIe8a1xRW8nkmEWVIQkh4VQG/jTah9u9Yub4SCp0o13EI+o4Q 9JFiWxUKjct6TuFckyppVN5bkSiZl9bkz220wCccUN5EeGV2yA6B4zhvCS3vcjBvwcTPDhRR9NYu ChJov6sQyevbLfwLpgSoSoayWC7+Rd8r99OrLwXjeMwtDctbG4zVQ8+Q9WRIvLazy5A5t8a6B5sx WCXTwknzbO48dLfT08QSO0xy2ZB3ILm3IFM60bRCOeDuktHKzdM6n6Bqsb5kZ05JIdxdLF63Mhsq IeK5hoOXFjwZK2ovDxSnjq16F6INEkdGnJz/riwoUt7WtMJLpIgZD8dJzR7uD9ri6q3Wg32kkENZ 6V0T9ZCMw3SsqiqUy2kDGKqFeyx2lEhGLeFExlHs66StGHAqJl42w2MS0lajSSuuXsYxBwp4pGF4 qfUq+9eHNkKpE+sNGhI/ReWBXgJQK3ZNddfO6AzM7kR1dVtbAwjbXekaNFQOMJJgXdWJZ7FjU1iS oSyhXUBkdX2yd3zYzUVXvlz/e96hA4OmdGiEUTdYZmmbLbOwbMuuLqt7MFoSHKcBrCf9Vhjocxro 86k0HagG7Wj8sSzXb6Wo/8aE40Yrqgxwa7xzzn6vPxobkiJRGO/pWtIX65+Na202dmwAUsrwxgB6 yRSywDj5+ovvh0Om/zHt6X8ImX44PdUXQ6mf0aG+NmzpT4RMH0rI4BxZCLqudKXLlnV9Bh1kzxTi oUbl3SWD7DV5lckKL5Jn/Z6zWVmLKGsxTYLbFkatG2VxqClyMEvZtk1Gq2+svIgaXIj38VjTCk0z sKdFo7U9vK8JIVy/aapdy7u1WMefhR58HroA8sbAczaaVkMNy4PeXHiLeIDqlAPCVwoNYf1yQ4/F 0XHduA7KIGXa0bSipRikYDbnUIMcA7DlbeUspEInbP0A38utNOaJJvWZivy3ry0LWx4NdZVrOn3b 560r9oEf+s25JvVr3ux0BcdlmVCO5h5efw84Bt0apLDaBWgyPdWwp+TB6yWrmVJ/vSGmiLc9J3X7 /XnCxbHYsR0A7P13N0u4SXHEPCgWJGHhrrm1pPmNmBc9RcpJt87L+VfZnv5+KvWbRNEJfnujrw8T /RGd6oOqtJeifibs6MfTUMeB9Cwp7FVdJyvnMOImIHXmTSRoixRoSwR4etG2zPJSiksf8xKpnE3D +CqDW8YchhQ764baju+gEX1W6K9gtDQA8dL3ZKV+RJneZ4vHWeOXtuvqjFYdzY9De2lY3ltjrMga 0ZtuGVebDzMuRVBT5XYKbjJW3bMNTJDwzc1Gq452PcdR+rpJvdMe7lN8aHrgq0Yrm2NapjlPqM2B RUsrVAf6pFDWVeUCiXSzsTnjVH+g2tRlPXQHO/MefSREMHDPvFrBqig24VLgtV48b91oWvXW7lBy 9VwwIF9HdX3iWdfW6/fXvsTfW5iDuu32fLUUi6mgNNvWT9HpPF2JlCcO2FNWgQDuhz9xyZI1/Nno H/M5x9MLNSqkGKjlg82rGVYK6alC6auYmsIvZVHrOvNQ2kNIu6cieWb9XfKwPMPhjT+9Sr2lBrVc Kn4OhcC1d8jeNI03kOiyZJvGv8lKPUyVvl/P9N06tXZQ3fvmvwidaOowDVG/HoK+xWqmHvZwLO+V lxoyMr5xzbtIrmHkG5aX+qxtmYUo32X9WpKm1TPPpjynR9Z1wVkeH5X0F0KmHwsj0aD9u1pVBoZt gICIn9o0e9xstIpc00mp/a37KyFOVSPR4sYKNQOaS6DOufKU9u5G1hhjUF7d7QSjZf3u6q9Y0RMe INUAACAASURBVG4fU7Hi4zajaYk401lfP3fQVK4yWk1zyzsv5xQ/L28EL6Km4UbIThZrSXMKll9X CB/2d+yaM11myAyt8YzIhmWLoanPiSeXbP6AL6avaGgZs9A7lPr8JCfhWmaXhAGqqBwmdvh095SZ hpSt05oStT2FtWTfVW8AeGOUvayq3lLd1j/aPIEHtRnSaPgdkPEta/K6jIkbIhL3tVW+tLayApUT qA5ofpFo6CJ7r0xZtYDgyP37BHJxxdLFz5r+GtEQtYkt/9H2ht6tkYZSA3scKsJARUaNHFXsq12H y3Ko8ppNnO4q6CVBnqzdWLUDdtBT5SZY98/ph5aSfl1BHy9GGtN5GCUBupKEXQ2LA+XGk2nBylhI DTG5hyIML/mBrcwLfsnwiXXjYvIVpfxITbWrYQk+cLP2YFcNvvVPb/Dw3PvDaDmlYi2ew4iFdocf XDCoVv9Yn6sJbxr3yKoDy1wV7ZLr5J5Q77NmXMhuXtH1eaU7T/mKxhUYDpyxxY2JkWGz+gbdPPpG a0C3mCWj5Socq6MLLyYN6rCE+ms2VBHNqIbwqr079PgrvTkrzLcOOnafcJD68xdnxqpjxDfZG5pM 39caLa2Eo6jUjidkX6czeW6SIjMMibKbWqoutqx702jAIbiOvR4ttDWyqYkHLlZtoBiaN1ua4FGm sTdRzUunL1jz4LeUh7vWOyBk8y4/TY2s0B0N0d26RFHB9dLep6reVQ2MQIE+irPDco3k9CIOZpj0 2pwLmOCBCUv2x7vmYYENWFg3/+kLufaHQ9BnVOgtA+p9AF3/irb034e7OtFALynXJ7Nc399iRtvl hxRoozRjVC9nPwbW7BEulRfadvWAnAT05HtTsUKk/7D3V2lmrMxQFGRL4GR1YOW7MzBalW7ri7HQ Ez3T79DUOFuzu0yAty+besD8Z0kX069oWj1ROQS8Diu4FzyrLpy0avsCz8tJk2ME76x5xeZRVeP2 enhaL5v2lpd1YPhcqlqp1OCSjkarRuuRzscXxscaosJ5iedrHZOmz1SlRyoHm2WMGFlBEuYtE3nE +FG4DMZiWUhRJL0YEhpwj6RKwmtrFmsZs9dVVR9sW2f5vMLmRqoZBv1wC+PvTPVlmWkjLOdQBbY0 Gs49tcV5BbB/YOD4hBDYemBS9rVoLJibrezlFq4g2nF8jvmggXBMj5Wn+2rqsbJiasaKBq5wwa7T RR5vypqvNXuK4fFaWARvjWbEK1UJVW4EcGcLOHXJtNd6h2Q33kUM6zp12ZuH4RpG3YdfhKIlRaQD 6/qyo1wPVepJyHU7NSqMM5MERPdD2VDf1z5ol7/q62BtGhZK6J6JljUNqVnfSMT7JAciHUMqzyIx wePqwdxY+SetUeVXw2j9i6zQ/x729DAW+kQ414+mZ260ANmbXWvK2h+TinDh2NqfuTGan/L9shZr IEDmczCnNJD2AAwm7FiXIWQgfVKHh4rwqcLLRgQFD5w2bN4jlzSBB4RYHNmyXt+9y0ZdQzg9se5C FOGW6DgtSf54C7Jzl4TJT5XFRtOp681vHrgCyMhsqYSFTu1bRaiOwV1t19atbNukS79RM1JWzkF6 C7njW21HJLcEeFeO17Ztbi38cbJxm6Reoe4klFerJ4rZUdtOjHIjfv5Ik/pcg5yekotRgOuy91vX s65buR3VZnAJOevJqbaG7zdPE2HH8+qB/RyO3iZNeSM/U1KXPbGWYTACWEN9gUTw6GzJCNFOriw/ sEr7sJv6qhqs1eHsVbJzLhPjRcvedbcrwTFSZayVYzA6RjQ4TYSTU+qVgFnJ9DmV1s7qdutNIIpx qErHaaSDddKN1ximX63bqiCtWSZnMsuwmeBdeqDxlOLsSsnA22XvAKN1qina8cnlZt/p8a8l/QTN U9O5viWM9ctoL0n6TzBakSzYogYYG8iB59pEfBie/Zvzo3hePzG7rkK9xgmEFVVlyqPLg78ZVyQu jjBFVsZRNY8sRY38CJuqjs6ktk4zdsHOaK02buiPybgybM2lhn2eiV7VM1oe5iLv8tAJqiauhwqG M+IvFRC0tlNjFXbaF4bVrGt/tlAsLxrXPmzXAe3Z6Nz8ykx/varOVQfa1uNt9io2wLt4hrht6hyu PkIR8a61+XKhvO57XdVjUtG1HKpIa9Fm14KlfqxxQ1Rzb+0hYux8st+B8G8ePdC5KjbHlqTAC0QS xgjeVv2Ed3qiqnIRgNIEA/rrAJ22C+VF0MhKiTxMNnlkSMaWTZ7Xxdp81GfmmXr2H113MvSXV5K/ MIPVAYV944Nl6ZQWMECwXQGjrRNv3SkK+O9sr1i7rUrDUQ+TAJK8mCoz+Yz2ZzRXNWkYVC+Huq+g f69Sb6jU11q7K4kWji9rSlvItxV+mopEuGVkVoBF5HXn6Xf0q76icoAB2xTKMAdUne+2lInnl2u5 anxW0t+D3pBO9YOi7f1UP6sdfSrs6v/UUH8+Q65lblnINk3jG/ZM3Zh5VI17qV3X477Bmv99q89E 5974lor0vhnLmvUARqMMblSvWWrmzRVM2TIbzZpLdPNiZFnTE4ut4sXqoJV81ztyvgGip98BxKko mAG1dJImBeb3YEaqgI/mmu7rjJbREuK+EUc7kuNV783EH3VgS7mJj433Nczvz0JHJIdqPVxQO+gP K8WhhyLlTTnefdflZrGes6rhM/k6XJdYMf6SldTwuVpx6t1oXGpp/l3I3MTm0KR3yDzaNMZCA+45 bFk3nU6j3acYcJzwHczrXE2FSOB+y2DnQKNEqgX1225IJNkGpXcZNe8RHLtfMkTm0cjEhNOZqina d9vKc2goo7WctxsZrJmWkomx4enQGouXnrsMcYAN1T7kjJzpLF+vnufBILmxibHgFDnPiyWtmowS g14q1/4TgHzJ8DRprMK4WkPdBxtRqTd7ONa2ou6q0i+nqKOQqY823XRwwg5adnRXM8awDIulbjeD xPCAaIi5rv3Uixyfl/R/p0ZP0pm+R0f6pjTWUFFfr7F+Rdv6IgXXCyA7ZRMP1srgYJBrw2yiVXR1 PKlZ77qWJ2W1XUYk5XoQDx/agqc+1LJwORpGS3gRm9V4PZy4YEGLoXLXIstY2pbNnawaK/Os1ogP Bjb0M9t4w9I7CDPvNFKlF1934LnSqhclr/YiTMZNGxRUXZCLnRtsDlqoDuB/3th3zeEmCoRpuT5c eDaImvTtW0s7gS+Y9lVkiDte1sYrGr3AiurDZonowrxgjBc6635AEMp6SOf8PiAKZL4bKiMom0vP 2jrSXcP6/N2tC9PmhosKkWm9bQRRVHVNEnvhffh/WI7VMr8QQH2ACXKQ2/owbFjt3kfl9ESxpss2 Sq2DmxusGQ7AyUFsbTk4tx+h3tNocNcZ4ba46vVusxW3evHzXEJk/UmzDNi5NKu7852ryf3kYWqs dQzWgeFYEEg9sPlcGOq3VJpQ6xumPvX2hp+g+woRmRtKVcaWKduUfvd5w5DeNhf6Ovyt5x20qfx0 inotjfUJPdO3pXMLiZmLXw1bOtOWvjsrjQrh9xUN/6Dd+Pp34I1PIW7WVSulXMyZ+vOavX7TWU72 E11MwWQmhtGsW/De1smbWSxzdObfT6kL6XKZN4HR4u+qqXcwWteluSv2NkfBmt9ioDDSufK0p9hw Dbw9v1/zkluPvstmAX7T/w9j1bG6rTW7NVfgedCtb0wfalnCetEjX21gYQJ9zV3TpF8gtrZcsbmx 2rxGgkkwHRqL3LoG9Z6d5yDssvCdrOHUi68Jw/FqCTPJcPu9uNHioA2J5JOXdFH87rrtj5X3qhLW 3wyHNWx2ypEG5h2CJNT1M+XFmqRGcmZAtweoLnBlkX4469wtorRcO8/vYbloG9aPuNc9Jvd32Ly8 GBfat6/eOOFeBc7NWJnKEvvbuFCQ8qgNhKTVe9+4/5ysltWzMMAzKnhpMIXvh1IvK9NPa0t/Kdw1 UuWFyJYN9JGQW0OGFzFM91t7rQTyI+V5J/u6Yd6oLcvR0bqcGf12Br7eP1LSr2mib9aRvjOdWcdk uPKf1Ui/ogP93myoP9jOuBt7zDi0h82L0sItWk7NDph+fhcg1eVtPRRoD7Wa+aCrDQfOOmPlOA2b c1m+ZpPueGo63GugUUHqgF6Ki6GifXeF2iwcMwwRgnfniqhdYrAyNuKephQV94qtbXNaE4rWUGWE gHREGrjmFGoSkBcJdaiBJCwyFZ5Ji6tu0rxfpxJBDHBgOBtHiXkTZqzwem65/tiVHnhwTXjahjXu wZJdLXRHRcY9nahuIIm6Ufe90jX/gOd2YiVoJF/I1vm9orlmPcft/7fyOJVW37qgHrJuWHeirVkS yxQuIO2uue8s7fSglOTCfFYTvObTZgS3rzZYhDixwQiwkMGeqrnetiksdHIbPR4FriAZAZQCNqgs +MS4xmvnYc3KVUz+mNj9lhHiUpY0hcvRS8X7aYiR4sTounBwkrg8zUilviYEva4t4Ud8WEF0HYSj dScQeLy4MfO0aNuUjtU0NLdY1e5xzkmne/XOhYIXqdZnU6MLTfQhTS3pwJL7NY300+FQt8OWvleZ ZVM7wNY8ZWsscNUYaGDNR11+xBQwWKSWMQJkJrPUSeh4s9VQbDJWpMkpr8Cb2J6n1ikf4UQ1wbrl 1mleVOza4t6VpW5oWPrmTOXBm0+4gfW1weKgrOfM5XlRqG21yWk7nxLig/VMdgfOV2xKjQZeKkOh 9rh5qKqiCJkkz2L1AJenAYgBzDfs4NThXBgtJIdRD0E+ByN5/Rx68ARFwmg9Upm52kORR11MMVbn vk+WhBqNN2f3QIkRlRx31ORbrSZvf84zA+sjLe0NmIflv64+0wmoKEp4VNRVWqw5BE2Gen/uXVEJ sNBzsffRCITCIb98Z2sMFosHkS8vlowzXoSBeyvaQN0DdkXL1Om1D7LRyfLrecU5RMFuIZAlooMG XlNjwGLkpDBxPv9X5BcqCjea3UAcH8+P8XWQENCSloTYKzmdd4pIYAsvUJ0/UJaocj9RRMFx4WDl 9Hx+kN26G5Pyp7zZdMAXBfgYxldpnuljYaKTUOrnxAJElyrpp8O+mrCjPxRyfXD2eZe1NQNzxf6w fnnGOdq39wQZNTaU6uy0nWXQjGDnAZ4+tUU5guJh7+TJUodo3uDBTJnAF3grKmeyu9TTgG8crpyq ndHqbthaYiWauj6c9Wn00HTe/cf/cNx6WX5Sw9KmvIOUP+umk6AxuWhOWpM4Qr74iXdFShetIsga lr9ROSbPVYLVGa08MQ+8WySSwnNUQ+zMNLNMCBERRDrZDNxYdeTebo913haNTR/pQp/RuT6fBvo9 IdcnZ/7VXF8+oi9PAwrrNwjWBA1jrqbrUjIA5MN5Nj8hZewZ0v6gT+SgR7GomiNpSVbIrmlGcNfk zDdViSz81Dwp0092Hsx1ptE6vJD+NeY3L3dzmNF1SZllPyyunHdQ8YwItWn4RHy21aW24mmyCYQD 8wc9Co2oR7+D9Epgub97w8HhLeVpoJp+bNQ88SJCPVswz22sKIhFZ4jNgzBfOlWNUkHRtUXqTqpT FemZPg6Wp5H+iXb0f4GfKNN52NX3hkLf2HvJFkrTFYWg0fTt1wHArIORN7g04TxwDvBDyl12ZyGT XU/U3e1baYaFY2SeTIWUWkW/Ph5ZQdhjB5IXlnuLd0Dbk9Z44vnBNciM97RqBBaZ2zCgq4m3PNsk J2NNEUx2hYPE0+mA6HlbS0r6faEkpyLEwkO5sPsGK+u8sOWwH6/Lde1RPL15JYMlqhbU+G8+kqn1 xpkCrBlhGqvQrdxu0iEbI3S23ifjKOX6BY30aauBOtUXNdKzMND3mano3SNe6cxw0f2m04CHB0ky hkN0rpOF0QSE77LKi0oZGLZ8BrbT/q4wz7VPLGMZbKsI3pZt01gwWAbCxULRcKkWTLVi4M2xLKxo Troy7JjVtdjcway2qDm0mFXbCsqyBu59IADmZLY5gMnvVlvBS9O4pccq9VC5HsBsV663Qq5pKPQJ JX3CUI7rj1mXGjsp+U4PU246Og8AELmOg/ZUP7dq+LzY3Oj00nszFctjYyBbH8Q0Vt0AuOJplHMO i9UMTgyz+n3JC5V/Ju3oSCP9/lDq97WyM+1VZ54wInvThiwNoPvyAtu1ReMYU9fuyfspYhSXR9fW qRveQ/COpdTx5vCsvP9crxLBGprC/cLbazPPgRrGIzN+Xny8ft5cm9z1nTp4YOM8mpd1OsOynE+1 o0gmsSdfxDXqQHYxqmw3Fhusbrj/eXa681rcE3Ck9HkM1vOOhsOAdm82ZwDpJAFoEY/EnUMn4wnq uRwerddph6cnFKYa6dfDSD+fDfWSpvpEOtZntaWf0oEmYaj/eM0e6gwXkQTeKmsRz9q8q5YM7awB NO84OLVG122+PuraJZoJ5dGU7DLPRo9BILG8LEu6ZLDAEBI8kMTCJGSrDbsQWZ9NwwBXT/MTewbj k3dyrosGy1QU2+wKBY1FcqUAFlJHrlseXyTjp6Q38lJvxT3RbOnMRGOkYUj6QhBKUvoaSfc33+Vs YsEoDDQ1F3bSZvt4uSgrXsdgtXLHyyJ4CPVnt80IW/swU4l8PvzKiYi77nUYRoiC6VxJkpB5UqGf hPeQZjSOb08XupWininXR9OWDmZf3WJXDQROKBqHpsVkLZooiOUdwl8SxgoZlq23xRfz4vA7hk05 T2cpzOvkbxd6PmIMUKT1dbKpSa1l7SLlJFfXMFrm0hqUzr0sAGa8A1mzjvlnefVVBVbnm9x1/L0w 3hQNun8zCoin4J8nLHye4cmSsaoGfdmogh6V6FwuPLBTGry1nZkw01VjT8awpc+Fkf4ZyYxwrj+S TvQ1mujlVOvfaKifUqkf4AIYc5PbRt5l7kh0houVtprFRwIZiaFdA+uNsmSQUq5c+3ZIdAP4BO/V eg20md1WD8EOGH4Pi3K1Btd7XBarm24eWPkEtb35LhnWP03JZEb6QnWXvUgvfWnrh6yWrAslHZTv sIxPp6R/oakKTbSbSfdTo49qog+EWnfV6CcV9UBDfRld88vu0VzRIzshrAVY8CyIYbT2+7GShSyX tR/y+iv+3kmrq5vK+S3P51kt8nnuWAE2/JgQByYuR2jc6XMjqudtq3xx8nUYrY+laDK15ZKQm7XE AiBHtbLxhgJlgmlOlT3FznutoNyLUV1d7nG3+DtoBo65WOjW6rA7D+/cMDEOsXVNTf3eFtndG4c1 zKUU5kR562W5MdwzKWIaaXSDsKmrm0Sm1+cWKILGumQZwXGmszZprlYxvTRb+CKHtaGNk7bOD2O1 /oCHIErpEeonOTgXZJZsW1/IBvrHinqazvR96dj4eefK9Fbb+/NjVgEw0ZS6ROYeFh+ZPTr6WHPV zgFZv6/J6rkm/dh7CBo0ROs+8M5OrI9eC0QCzt+bcccwbcyredmPLTPseGbRYynwHk8vpzU4OE6Y c7lWjhO+AD+vz0P1hgT0KfO2WwFSaQvyM8nDtt7t33GzutAP6Kk+rEr3Wj3zs5QZz2gQosnLfCFG /d6WELc6XDESYiP1cssmCRuFV5QTa/e62SxcAZA4splopYWPRzh7b+33vYgN762VbqmChFiAI7gq JJkhpF84SZ3VnEyahcwQwLGpUraZsTkeduLyxdbhBOP10FLXbFzjt8UzL+h9B+kXy8+Wxz1b3E2N vK4fHF535hnJqhna8y8fINYnr0bHiezk5kJpTzC47hXGhrkbtBLVeL+pITO3JOQYgqqKUBHZbfC3 oYYFJVUuSRQpMTLVjpY8S1Y9Vu+KwfIk2GS2trzms8+CJ0vrDV4ZHEDUZ2L0vwz1JTV6LZ3rk+lI 36YLWmToN8NAn9KhboVt/TD7tzlSAscLhPOozaKAiqLJlmVczZCZTViV2XawfiiZd73vLcCW6DBG a1l6Z/1nsM9Y8TNwhXfVMo06enYm1vCzyw2W4ROI419hsHyRxRv1cHBZ2LeUm351y88wb4uNuK8h ZQ6SPhCCnqagD6TKMmCvqxTq1V9Sqc+Hgd5IhXY01hBvkIyaqWeumKS2HovJnC9SPyUB9l2He9Ng 4pwN/NRF7exvT61JAZrim9qbv93huuL78yYOhAMmNTxvCIonwImL+12EHeWmjFr2+ryR8TpSaDW6 7bo5z0OZSHf9xWLod2PgyVXNwNqYY2wJE+Y3CG53pLoZtLjd4oAKMDUPaX1Y6Jy+eYYMtpo13U1z wmQe2FTO5vZwz3EUcB9rOMtGgieFWkKOp+vaTG4RvNGEUSWWDunOE/Imoi8wT21extS8Z+7NGf+5 P6uF096ogeexPWX43VTHKvQzSvq3GuvjeqY/oDOrgHhNpf6p9nQWdvWnlek+5XI6ngk2WuRhawb5 6FNNpg7nePG3t7/rMpy2gxf2D/tt1RhY6AiPEUPYMdzXNuXYbw9oCtDBafksmd0ruubMhPciG+AS 3g4qiJELrlMN3HDtFtty15HTY3bbbesvHx8NQf84DfSLZq6SvhRKPUq5RcmHqdFHNNXvCWP97nyi FLdNnG29agD8Dng4F62RQjiQsHRoACJZznUeomsGUaP22Bncs7kho3qsaVNYgbQ/h5cprR++sNbJ 2Vw1OGXArCJ62+3szZ6KdHVJFxqyd3RzGS3KnqDi2gq39e9F+YWq+oFSwuCyuS4HO9/+6IPX3tST hYjm1ur54iCuhQDogi+tKco1qsmetCRU2B1AsSGLh6wwYR6wA17RpPWGvAMNwP7FFG+1VbZNSQMU TntZLjrRcLDCzzJekIl2MlfbaxMq/lwoR3Q0j1fedlfs+ezxnL4vOvJ0J3fNg9d10nDYSl8b9kbn m4E+F0r9Usi0ly70TbqwCoiHKvSzYVe/Hg70x0Kub42Nxk2X5Fn33R7KpYwGrhgw+gDgyR+2Bh+9 ezywuQjmuuH68y+pqomRjluPMS415aAqZKstpj6TchRq59e4MoYzHWdyTbPTqvvr3qZp2wN1i5Jb 8CIdZ2Lzngk2QDV6fUnaFLqfbnOZUG81343fbqqahT4d7qmIY72qsb4tXFiR84dSZbjNXGHUGc5z IZnFySrzHU3ijrLE5qYSfnNTgflwN9ZVEbUmvf3UtJ0A7wkT10k5e2jCiVf1aAHh2sbKmgPkR7YR rRmHrcl+SrhQWVACtLi5LSuW7aiyLrrOSJ9fF+rBsaqpd5oZlved27NeTe1tDVfcoIxq6N17zOtD ex4PZ+nDllkuPBVuFIT1Ay+r6tfVJTSM0W6iw8pUeTEnPBrqlaYGQeTWzcWjB6uBS49XmszOh7O3 WY+EO5uVZj0DSzGvKXtSh0cxb72j4eDwhYTZ3lG8mj//AKwKzXsvx/Eeh54UcCoD7/hERRzqVrZr OO+voupLVUTY0i+EQ32rBvqeFpd1KfDLOlf79/i9IK+dt9UvdIK+UFMTOlIMTVE0jsv6fUVyLR/c dRXUSFUEJU9IghMhsIbBwlJbDoUntvj3VxosQ//D4czNdSInGzQztMmc8mygqij0BIqD9bRNVr+H DX3YBmGogn4bBsiKHtnouOlIE7skrJXj+DfiCy0YrD+T0RtGOqyPdTd7qrLHxVocZP4Ac2nZtDxh hB3wpn7bjTAmpy14yFTPGOJ95nOtJiApQrnBqaYVCo8w4XtlCNbC6aFSOleeWMC3r2W02CiTGnkW NndQmRXW585qFFtWt3fcobp9tfbKOUu7dmIQfnNC+nWjKYly0AxGvgmmaB6ZyubobW+weTWDA/6o NjA3ZUbmsFay7jZQGpb/joqGoTHijb19iW455SD1BD4ZvQDZnTsaIOKXDU1ShoYRi8ki0u4XvVpW lAQOVIt76d/D/AA1xc1rzIWRfGsagJC9bD0GK8R+S3mzPjlzk+H3RFkQ1/Z5JXQdjfx/Q7Gu8fim SNmjctGRRSt9JD7TH4ulfiLf1k+lXL+Ep6RCv0Mj/RCHeJxq3Dze7F0ZlpcWG6NHCK9bLa3ior2v M1vnTUXFQkeL2RxxdS3K6DgN65/DybFXhBQoHUNFYjWqK67FzM0OzDDx503vv7GtX2o7Cn5eSa9T IpJwOekmB6+iMReUl38qGqQWetUaL1JEzcJxT2pB5gPwvVlcqN/S/neFHjvpaAzWwiKz/3QzQvPK +kzDwXqd8ZsC4pYG4DTODkRSKdK+vHfS+Ryl3iJ9Q3kctIs0tMYKDSTPjpiuVp00yK/qvuKAMQTM PnGRYms0hjBmRsZLdGA53Ei2mxkttm/zZlsHF1fCHygSeHJvR2zQPUkan05UlrutwX1gbZ/yEDWZ vmkhRAFpc1l1soFgCIv+tqXBr/OeaKE2rel+vGMt0TojifcMF867Qnfz4H5/XdOv0T/Lc04rQsS5 Yaum4GduGPAGOHzWaZkv3DveWzoymZ3+4P8fV29pO3v/pRLDVw0HoKezA8qep6UMnYZg6rKPtKdv GBxov3mgENnsndE6N6P1ciz16WxL/1ADvV9BfzRkumeyzhemVrpp4NS7FLQht/b9WWB+CRMXy3bs f2dO1m2qHVPu2CRXPVcixhnyJJE3IEFTDPISOczVceUsYlLekvRrSnpNsi7DbyCpmxq9LjJuGKao 92uqe6r0NaqsWw099O6nCn60pU7/mu7oaTjQWSZtBzwgJnyd22iw5dp7QdKjmpaGO4SZgXIuh0ug pHbSKFdYX+19k4FZetT+281yvV90+G1F2jYUhnoro7O24DZ6XWTLnvbfs6mPTBQwBIrGN70C3PqB iviymvjWwvchiYKnVdNL8f+j7k2DbUvL+77/u9bawxnvuUPf7tvdNHQLBM08tQQCIQYhISQMVjRY smXrg1IuJ6nKl8T+kJS/5UOqUonLcVyllJ1EkW0ZSRZCAw1IIIGYxCAQiHnohp6773jGvfca3tTv edbae+3pDHdA8WtfAfees/faa7/reZ/hP2RkFYef4I6T6VnfAaDpIs10G9VX15QjF4L2vf8dzgAA IABJREFU2HWAaD2betxKophfsB6Em+f699np4hIDAp2HoBauqyEtoeqbPnvbc++oRcBfSW+f+3sb sFQ0yLMJBaTGCwLI7ZgyvhOSQf3n+ROm/0V04942B4QJSsJXNW2t5Y+KuzSDT2rEJ5uFCuiuhvkV 9c0w4zrLbWuqk5mCk+SQ6igPPQ1DV+9RVx/JOgKw8rMJWKoz2iK7pFdbB2uyla2qq59PzunHg4sy 3V3XCbQoVKxKGUFr/rmjIoAaRk+M0s+4fumqSgOu4gC66IbQqwV6Ma3ltax/235O6VtiTbbMW/fI gPWwpN+qSn3CHIcLnQ+5LijXqy0wEaRKE4o77DzciKXWgvHetYPDICn8uKya/c32vy168KAJDEw8 DkY9LHqmJd3eZNQaK2yqrpjszfUutvlnJb07lvpSLPVASPRrSaZ7dUqxYNw67SBt7xuxTzpvpwab E7VN03OamYYEmv7mxnLYFXiDHmzbYEQwmA5aZKWhQi/I0+jDAYeuVYVR52FB3NRDi6vehzhhGeOl L7Iy7oNXJk8sZEjwXbkVuXMAczRJeAwTcDZXlVa4pNyYrqTvExq3nO6tUscGJYOxNA57jc9KE7nb XaSvhf7ZnjX+D3tUOJxwoRmZUuvO9GskQUUO7xFFzWnHmBOZd/RuMz8/zEYHIegjkn43FroYc71F V7SvoE/ELb02W9GpEZNV4Al5C0A7UFYOdXtGKcchT18RIcRV9cOdGqBgivJs6zaURWqBlkQB+zkG WtjgGVQkUAouoeHhK4rBS/09mlBksW1sEpOiOWTwRB9WZaoir813TVywte+Pull85CJUeo129N9j fXUMvN7sWlcFR10PhagnqkRnCyhAKBCSZTAaRWnQEc7WQD6kJKFPUVWnTNkhTy6Z5vT8jXPHW37u eiEHHyZQx0KrcUc/rqG+ozX9XlzTf5l0tZmd0bAA34NN1OTL7Sb3qNv1UpDSw+ysZgTsIj2NcM51 wpfSTzD15KQZmht1v3t2LmjhPoSo4GGuPK5QiZfek0o686TUqTtmUs9RWQe08UELLHi8ZUONbF0x v1NleOQwlIgFLd7PVD/rprFdb4WcdKZeuO3E2QjB1hRSa1dPJ/AyNUa9oDE29Yk2TAFwfn7NqxoN CEiLyyInQg9tUHM4ELpnOvXDEino6als1ol1aXjPdZeGFjxD8ARCUR+qRnqzruqfx2u6U7muKtX/ qL7ep47+fueMzheU/vAtgQqsW0BtemmIHJD5B1gUOTZtW1rp3qFRTiP8CasC6Ft1Wm7PfHTs7E1L 3rwUl2RXNpvqGNHd/qeVnduK6RMaIkI8Wql7XNj4zd9T9hx4OQxo3R9z2/qfSUqAPEbA4iMizAF3 7ySLj3MpZMb9A/PxdfX07Rj1zeyUutmGXq9E/zBZpgS6fGO4wml9b+KGcoMpgEJu/Ta922poInUr vfmS4ai1V+zp87HUXhL1M2FHr497+lAs9OEk0/vV1y8lAApv1yCPlrWYPEl2z5QKpcEJWlIb1rws Xcd8litnCqymOpCOm9QRaWEGFqNSq70L6nfP6GDIyXbFfjZLAK0erhHvIMmeQrUytqmaXWzM4cgx PYbiZlwen7ZLz3TqxEGr29nQML9dFYjpJTHH+jAxFa0RJpTj30/IXLc1zDvqdQCNHi8bQYeL/hxy Id3OeRf/syyrb9pKNvYxQwemjxvKzMFm/K423VoWsFA3cBYEfa/lh5+rePbV0+0aFI/M9bOSdN+G ARy4J+WssoswGnuvot5bjXReA/23uqY3M8iwqSBjnFJv1o4+JqAMfZ0OW0rKQon6JvU8lmou98zR 2/pWlOPxGevjdTur6na3lBRdDYvvWT+x25sMj8b3uqRpvzy7Mu/RalWdXr8FuL5k1CfXNmAENzAD kireaTjAZYcTzxNBrYpnjYOY51eODljr9YTvIaV6ImRT3n+Hrf+kTX20WjUnG65zS6XuC7tWQl5W pu+GDT1tAibXvyDkFgWpP2VI2ZLvpR8DOLBzIq6XKTfm8O0u61Vpou9oU9+OHb0mBP1I3NPlmOlP lJlg4JsSBOUumFZ3vzPPfcLpdzCil4B5RaFQuVNM04xvlunbl5fruespo+LIDD7rVDa5qqFZqJ82 zaYBL1mVyrpOHD/yHiVI455TTp9o5uRHlZKA1Wt5MrK4l2YdZX02z0SOu1xP6awORkjmMoGbBwdi H9XLVs14k5lyu3eCCmWsLpnnIEH6qMWhBJEajJzh+O1eEnwd4AhroixGJkGMWues64v79m1qP3/K MqHpa6V35HSt4xQWHrRW1U0uWKbSNKTd/QZO3bwS6XHWI4r6l1WppzTQL+qa3hG3BUAENNP4vSUT b0S08c/V0V3Zmp5nByiBOx1nOjbpbvCEVpmBd3pCRXG3NchNdSU822SNFvXt2Odlsa4Sx6KUQUD7 hvGSKItuTSoF9OLmeJ8NVGj6XtBw997tDAiVSX1nwyeLR90sqmE4evDWMSa90OoJcLvIoi7VWRTZ 1EXxvzN9LXZ1Z8j193RFz5cbc/IL3GhkUD4R1oRM3w/q+pdNwMIp5RVuNrtmjOrKkatKu2y0Zfia +QWmZJRDv2DCUtpk8skASnhND8Z1vVV7OhdzECf6Hret9thLErzbFvQ/gKRmZzWy6Relx7TyqPeW AKRetqY8UxcoNBkv3epVselpuo/yjk3eKBEtCNeZjzugIILnOKdZ4nKjb8Sxk5dPKKSUstFKMqPC dBY7wSC5gnuNSvo8GycOWpQYByMAqpQlcSpYmWhdQFI3U8EmDSgQtF8AAu0VAxguUu6Y/d4o89wR hyEzJVxfiY3e4WSeU0en63ufLP6sJvfCTt8xhLwThtdNnK7XdVuv4wYaN3LdUJXTsH+ivsjTWume r8vBk/WwAGRfK3f0WNrR2Zjrndo2CPWi9eUAp7arVSMd8aBnEx5tccUVMmwI0Qq/ZLv0Ddl49b61 PbTkOrlX9FWRGjIfB2NRNKqz9HBXlXU8uwLCwlR8YUuSDBuzjdZ9NSNaGAzIFiUbjpOsD2Uny6dH ByySYDQYoB0+qA19IazoslLLkghU/D2JZ65E57FSZFyqRGegEMQdnYvlVJBjQVpeiYWuckbUIvXX u0xALAAtPWsZlWcd8xvTybXlnKrl+GbRM7IxrV8rlfvr4759xj/Ruj5MJy509bzQ0Y+NX3vxwz71 5QbPEpreylgTqLjimlFgTXjYTB6MIFYZ3qq9CFp5cVFZbB6e5jMVDhsISHZUyqE1Fci58IB2ZqAN BC3K2Mdt8mVgw4WW51N3pQZONlplx1/8PM7Xw7pstolUPF1fW3ci91ueUhFprLayP/t8QxW6aIYO ywGb9DTpJ+4r1s4vZnNVXrE+ipsuUDQRgJZ/T9afSU6bfr2xBbK+tkOm94dUjynonSGc6GDlIaO/ OMxHNp3tdCdKG8ddjUs1fop3pnv6hbii39KmvhZ6epWJDUzWXwXgCuv6utZ0f+jrJ0Oi5059PmQd SPNmgpUtJpzTwomH3SuDHVTDGsfmGmkmF1SSTTubxKe/DHCATCwWTnD2TDLzfLKPHdlO3yofdSVK 02y9zoyPYVXPpd8eyIS6+pu4pacDDzNBKeg5waWIicd31f0ugHZsrw/GqC8rqanN06tbk5yv3AQM sGs1gcRfjLFiGoJgmAHR+MDlecPhzC5TsmR0a6PpCUKaRicTGL5vxgPnQmIj4eNf3/SDzqlkCp0E GcrY1iWb8B8mFznN6IapToN9Vb3s/NRrsXFonBpCuWXHFA15n1vTk4Zy+zr4jL14h4Z6cmwMu2wB NWDkD/F3kUDecRZBE1wX1nTmXmP69hMBQmcfbJirNEJ0Uw45Jv43NEupwwKWvUd6XqPySUXz+7Or r1HYNOId+mkPmsl/M0byAYQDfH1ixZ7IYleDkOpjSvTHKnUpDkDB6Rzkq9DITB9veSZym30pJ4WI eNaMndZle+CZsKOucE9Y1R/EDd2nkU5bvpTq/wxn9E2t6u7Q0z8KqV6sRHRte7MBC68Eo6TNtnQA 1F5RWXan3KyXLSPSGxYSsvSGfafgAGOC05EPH1jQdVDJaAYec4uDt+2CBXwESnZdRptpMjg67Zsf YpHDfNg8ngnFsxT0ayHVtWCVrWVdJH29+j/5OqY7M05a/owy7RuEYX5qCETi6Rv0DBx/dpdXnLIi M+XLcruFmGUDBxXxSVX5GfU6p6bem/S0EzFNhXIw1DfSoA+Enh6CvqA9vVQDfVmr+lpM9Zehq9dd x3U6KG7HpGEW6WRb8K2VLjFVMC+5uGmlpXH9WuUkMIWmfJ16D5M8QUaHqZ/bNk3kfhAB9Id0VD05 RYhuL97bpV6gE6H5dPiErLnvi37GJ0EEW7Bdkyxz8pmRx95UBN9mQat+oGJHqcjIjlbmNBPOiLLF JSeBJ1BEJv0iF76DBkJ/sN4j9gBPSl1+9q9CVx+Mlb6jkW6Pu3p73NFfhb6+qC3dp55eMyWIePQ6 DjyjyVYm5VtzwF41vGFT6tL7/fG4q/+gU3pf2DAZ7E9rXZfDqt6lTK8IiSUNje5ve/nnJYXnPYoF 6giU4Mu7dDZpDQhuMn3fHjv2AA9H0YFymhLOJKMsu4L1Aex+2aCHY2RlSnAAHawYCFBtn1OI3Ox6 Ju7wGPeOF7AISs+2/3b84EKUR25rT6lNDHfkAQ9xuW+oJ8yvuem0426GZmMjJYJUcV7u2oNmk5qa AlI/6lJA0O2ihnlpQnbtrAUmekg6+kos9YfYXoahfkz7+pG4b1OYtRj1mLr6PW2qF7IxAv+4y1Uf huZPly3JWoxwji/gEDT8eeuHtJHnPlYmWF2bPNxT94DPSIN9XyWIbSzcU8eFTTItV0AgK6FX1V5g pPxeUFaD4L5Efu4M+gUTw0ZYjvvOBGzRQ3oUcn5sQoqtGE3z0HMhwWyienrYMpVaVCpqwUQmo1O/ Z4owAC8HExcZIwwfqNtdM+jOryvqi7HQZtzTW+Ou7teBAaBvi7n+rVb0WXV1bwhjffwbXW6dhyEE LIC1Wo46dT5iZIiAAMwkiODf/UIN9dww0oNxQ2eSjl6srn44JHqBApDmuUDl5Zt/N87NG7jc9dTB QpOcA7GzeAhVePBEQbek+miBoD0JQPqFQQlaKbA3OpbFDkfQowZK8eVszEGa1626Nh1sMk9zfzcg KiQjV9tgTYxyCdpujHPLrOp5JMARvz9s6LNa0b5Sa72j2ARD60zo6KXUvDf4Pg1gkS8k1t5xcOZi CcUCesUivW/0uC9rCEWGh6xp7IVEnw9d/WEsdTWO9Ia4r9dp39Jv1r0C+7Kt98VE79G6zoVMzznm dVKOWIPS7Jhqx+RFPSRjrXfV756ekxZ263V6X/PByt/DieDuIUhPAP0uHuHeFILcg9amnarYRTVB i2BlUCU2WIP2Fg4x8PUcFT5/79FNetruOxikroBbnBz7RoMc7XeVMP4xIp1XKj1suTBf8xlnszgv y6ZDs4vCRa0ZoOH9sdCr4lUTt/sBjawK4FWeo1yv0K4+Q0tEfWuBLFFcs94g96MtL71s5TUBHAAm prXmCmTyAI2c+AzYGHOVKuhdCnpuuqozIdXLFHRhSaBy8U1UVfFoKGzYAsXAbMFqDSpvNyTKOvPT S7eyI1i5KxIBhZ4prZF2KWe6/dYb86mfi+3hm7irzL6/aLzV5vNYFsZQpDWAslZNsqUqdtz8ld5X Mu0y3qxbFrCwkfghJfpm2LA09YKCzpiVAWlr0HoIunMJOeckyw0Nrlh5RDZlJqD2LzSgabIvRpQb 3yn6A8q4u9lgn1Clb2mot2p3KlixUIZ4WTzQXgh6b+zoAyHVPz4GgRkQaMn4Ptmr7alcercKDeK6 /lnzZVwxlUYyhtn+FwRb8xNcGKzc7qp9mpncSUkH7pqSMptyImZzNaRuemE8bG68OT1IsAZowck8 VGYKrZN/Y2PSe6JEcMOJa8pL/pPs6HCM2PzyzKjD4MSGGdfTN1vyXRirgNF+m8KIWoWDH72lgRlv qedrVPNffQEdeCDu6+vq6wvq6Hkh0/NmXp4H2fTSjPafKxZlbaSyfPLHIWBcPA6W0JhlrCgzaRXE DUcTWITti7764ZRelKzpPstI5zVJ6NeSTcHDgzNKtkavMkNp1ZQn2HfgyigPkYqGqLyYwkbDn0Md 5oKzLuhpci3sKTe2mOwFMlp/HatykAhP3WzGWzQTielgU2I3Spnei7gh9c30ltTGVIwjn8Of6Vse sDgr3hISvdpui+O5yLpOuo0PW36SYNu05yeIZhrYlFYoM3bShT2aJMmtdUlMcuuqTHea21qiXbtt 8w8AiXrzb0d441rjEFxQoW3vA6DRlKb1dA5OnbPwCaoRB156ASmaVkATFoRyk5glyE6fvmbnVDV2 V37NLjvM3/FA7Cg3zaetmUzLg5b1xOJFc+ydbUOZ9raxASkrurUFk+N6rNyI7stor2cgS9xwrg9d 54Hq5uhHzb2uhaVWWWL/zzXZeyHoNSHVV2PfysPZQHAW+pkG+pxW9LWY6L5xZeAeATkqtIYn86CP +kBRMmRYQm8a263Vwx2CFkOCir5lx6hAOWBV/BQwM8FSDqhO4nJInbnSEliLByl70Gv5b777RsKp GS6YM41Ojz0HlhG7i4rM70AhlmO/R/aWsYcrJoC1o1DNo3RZGO+hGjI9tIdizZ6s1DHruHkZbp8w ogtPibrmr2ME9oP6M3FvjxDwu9F1Z/3neteY/R+RBSmtYdyMhwkA1qgjoV8gQ9E0sJ235g4r42BF 4MjcVQTFLrAiKumDnNKPhkzX1NWXtKEPhUpviTu6Q4UFKrBmHw9r+pI29dLgbspHBSsrpzAgLdwl xL94hxQYuRZOnRrhsul+1eyin8VEjQeC/hIN2Ulgaj5Pc9/8YXBBN8rjbU/docO0GtKuaupSxJSs RrmoH6TGKMDlvPct6BG8urUppksP+XSVYOVSN6iedsdlsOuo3/wgdJLlfSskaPygsL+zfibZANpZ Pb1BQR9SX98LXb2AbLLuqDysjv5GPX0rdoXWxWPB/M9No9XgKQRog6c0w4Labh182ZKPbbivEuoQ QcuVR8hwre8qzB9q7l6Fyif9rbUl4pLRhB15BixbpPRrJaY2wCn4wyGJ2TGJJkBipJMP/07I1AgQ jQRUk7n7gehBy2Woe0rpNSI4wGSvGrhG2YKFfFCaHS3y6WYhriUPBxOOqU0MgUrp+7xIMPcafJfV u6U17FzbnRPGLczdHQUBGyZVHrASUMepk5ztVKGXY83JxasJDqgxdsw/0R/ANMNYs00J8aAVyqDb 0k3z88u1oi/WQ8w3xF0xC/nTsKlHw4Zeqp7eFBL9wKHBCtMH4AtuNNuUpq4vhGYRfSJYAASrswtL wGY1Cp1sZHBHeW1Ogb4W98n8BmsVSnv/WjbX5Gem5FX2zH6LJimSQU1g8Uxryyy2aPiCh5EpFRAI G+Qx2V1trDtGdVNInVOONZxlA5mh6ulTNAE7VB2TgbkReZWbs5heTQKWT0GdGN7LenoB+zFk+nxc MQdtiqhPakV/KXCHmc6o0O3K9S119c0Y9AoboOyajC8ZDcYVVvzEzIXoWjStuStpvBUp40vQ4vSt 0JifHCLu+edu2NMPeHTicsQQA4ema0o64L0WTfl4va7pV5GZ83k9ez9OuV0HKbMIczWUdtCy8o9A aC7NdXZl09g9VYG9M/msfo4Slfn5kwCQPYNzaIp/vluyi5q6lTdEXAR5lkuSrsQozgMeiTtioddU Bzpjxow+beDB7KKV3VmtpVmesUmftSDgPVXItpBONqcQ1Bt/YJ2fRv+DjeMW44asxiwiyVQVmEB6 ebgowtMMt35MKd2ZbuptAUDsir4QpWdwqzEfxE29BVpOlNZNQ35Ui46FmcY4Ym6XPLOxkqpphHvv yvsAlSkKZCnBapF5aGuyaJMa0uNNq/XJBAFU5gRZ9C9appTeo+A0nZSHkw+Jp/tAw9GB1AF/gxsz G9j7EaafXiamXkDDlRN2IrVC6s/4egIz8HTfpXGLsm+aMQYGre8Bpg3WRC5o9BK0/vYyLVfOXZcq snGs6/nbpA4W3q54vhJ9RX3dHwb6XuzoL7Rqfa3XaF+v1EDfVFfvj4k+plS3V7s6axAVSjfHdVkP Kmya1pmrZsK7YyI873np9+mMOwdhh4V0cyuLcumb9u9wuBfWk7SpX0XAokzcrJ+utmWaw0KgJfH9 OtTcwb/N933UYm+SVRNg+N4KJrimPFpn8mylZFWderrZNNvZp9a6qO+682QdUV+V9LhqHbcTLQLW qlPSdAPLSw+fEJAhWZbEBeLurK4O0hV9PCT6YuTxrbQfHRO/F6P6sdJq3NYbDJNUy5FFbsy+6RUZ bB9Vh0ZcjQCNKyEa35xisPGLzdq7j60HTmnF8Ca4a8TaVj0BuZz2dDB6RFlnxm12YdDy8vDZ6abe DrWHTMvIHcGC2JvoeVSUR2Q4A/tyzP249brgv5KsnryVLn8z9ner+wCxhMQNv2yZagMTOE5xxsMX rXnK5IcuGhADM34l08LViGYvkxk1umDEjkUQBA9oJjcSLqsCYhFBnrPxvdRGRppZblVyplH8cJDw 3eD0C7Rhfsu4PZyz8/1B3a+v2bNmoAoEQmu2/i0FLVNTSM9OUPs1vKH9eZAQ+s3Y1+/FU0a/eiAc 6Kfjjp5t9iZR52Khp0OmL8SePszEOC11LtLLzGxU74fPZg2aJKiguQsVikYznMzWgMXI7p7xGUbN Sudl6h2uFV9UUGEACiPnlNh+4HVHFVNjsFQ+YTZrL3lfqd1iOMkggzKU6zcZ09qWi3aKVymuyNBJ 2BNtq/qD+hlrgZ5r81kzBEGdl0kjz/YxIVLes9tQWXYM93VdAcuJlGxmalaQVIAU87om54Ih+27p 6aSjD8JBjHt6kQ70bI0M2wKJ+uNa1WMzaFdP1IeTtJhzDwDamAjsutzmlQZPzDINp+KYhlMCGBDU NCXlgWUuVp5U9G3W67LzcPI2FBHrO1Wp7k3W9c6QGN6Fx/H5WHSD8zJfQJ+M2UjfaCaeafmIFune oWV5FqDq/NiceI0+kilJyW6WZR3ezB2V1+zBr2leRjbNq2esp4CSgp/KZ60ZTolImWAWpbwPv0Cf of4+mu+NDWfGDzYeA7NGOQydh9TeicEE+H44b1kTTXVOR0qYw8qcZgEuJDNuS+6C1nZ8lRvE3iyz C588uSWUy/EmR3D8Dr9+JLw/GXp6XJl6Gul50RHl7v5MFlYZJu+KEv1lIGsKelPc17kElDgwlM06 YA+UW8D2sU1eXLI92xDfx3CQkknhrkLFIMR1pxZ8SvvZUfG0qrBXj/qDySCP8sum5BFKjGEp34BG QGPZuGHrMXh8VXHa2xpYvhC0OjxXLmlu1l92D6ho2K9Y0G2bAsfknjdtmdrduaCNMPvMH71cocUz ++sKWKSmg9ETSjuUXn5SNePh+lKtWb5CiRdSvUoHele8ahxC1op6+mKodAkh+xaOxCY3ViJ6OQnc wE6PegLogmpModYtC5g1fm2PSNsIafu5DKdjtjYW6Ydw7628pAHKdUB5mFBxCowmyRbMaqvGkKQj A2DazTRUOWoFWzoY7dtmRNJ4cjK5dyNlKj2kRZQTP00P6h4YWRzu227e6Z+Ff8dsslIWT9U6TFvm X2g4GXNzIUWn0c6py+dg1D2Y6kOM702aazR8yiyvOtlpO5V9g7iTNdMu1mG6W+19Ye7SKYfZzKZM +EyULgStiZzx9axGjqcx16QtwOHlfZ9kzhzCKTqu435Yhg3Y+R+HVA+HVB+Jqd6ns7pKphX39Czl 5jAOLeZntKs/Cuv6hHE7e/op9XWmZhQ4dKJ2tq4XzXAeaL4rYyDYfWr2EWRr9NAd7DpnG2afE1kh 539O/Zt2a4MMOH1rJi29zEH9pMsdbs6YDEyJuakJAtIXdZoP93pMwzEDDodmUJ20q4kpiAz36wav 77p+ezzpmu2RtBZw/9tV6oy69qVvKx0HLE6t07HUd9Wxv0d6xl6XgGWaSE5LQe7CxNUS7LPrZi9Q hMqdl0/y4e0B1DkNCoClPgFZfN30DujVLCp/uAZ3rmn3DHjoh8VjirpzXPZkCc3xfSEEz8lE/W9B q0Iqw91FZt7ZbbkKkM5s5j2lZGwVqT+n/GQKaPCBeFm59WO8pKOUm55KEWC8Fwh/scKANe7MbXqH LVQKGcoRlIhnlMb12qaczPV4QBRHvIOuv7hwX1ifMaFMoswmi1uuCLD8PdwCzpH10ESujBVdyRRZ 7aDFPoL7RjAOZEGM8QPeessnsc+u/9wfUv2OVvUpZXpYPb1R23pxHFiWhdLua+KBHg49fUKn9KK0 a7hD/5xko32V+SnXYSdQRqAqLiZorQSBuXLS+3hP00aoOGyme6KelaKKCvyEw3ZyrWSxoxz/AsrN GzO6WLRM8RbFkaIy5VUOPxuMGTK/fZ+pgkaWuYMHNAAyeEjTV2uYBT5BPtyR+eh1neGOr4GNPNG5 8ZG2y85ak63mjaHg8O3a/LRZGyrNwfkr6prPIP6C9cvWbPt9MwS1C0y3VJiyZxOwcDOh+e69lpMs ysh+dpcG+aOKqZd07cUUCYE31BkXieOZ1pHO16YS09LHDAfyEq8gd54Bt5QDIWAyk1KOMCEBsIdk RncBStq5j5y8WYdA1JxSEzhGhpx9E7TMu++aRmVhlvNm0bVomEDGWeswjcz5qO3jF+11u6aH5Qar CLqhSd8lcKWrKgwh7iz5zpHZFVIiy7NXy0AE+bszbjQfh+7VlH4mAVRctp4dFCf01xt8ERNTy1pq LSw3AHHlWWX0PinV+H63tJYeDbY5L+nXQtDH1dMfKdVvx66eDtf0irhvhm6fC2u6ohW9KKS1Qnz7 c6LWsKVBDo1lxTIVrnNv8G0lneEYozS1EloRu0qq+YDq7Y/TGhQ7hpXze+J9JLe+XCWpAAAgAElE QVSFX2y4crMWOm5lRRZ/0VzPnTfYkJwB4Lqon08PM3VwW6u9FsyK3ppZiVbRcLvBa8muH+DHA40A my8mAORKNplIe0o73lMgzf6KMpNwbRaaWIDx+JsnYqaX1ITlxv0GaH7jemPGEzm9FVRF+eA0rd3j L8Z5ANqx9LE7z9JB/t2x/ri/d6JQbVrpuAwL5aP8NXV1h0ZoSzWeeM1rp5CSH1PE6igbqNOtVMKN aYwRRCZ0eioYNpAFSinE1cwCrZyWfiFI0RvIR1GdDnAIGrV1AICKZBIwS8Cm4+vuKalOT5mPspnM 4r5FQud+hHRPo3JoOk7fyrb0VNIxp5V7Fzo+jt/F2aGRILK8T2jYHmHCwftNlDCXLeuPUIoXjG2u masxnxJMGxg2AyXW98LkjCvKDjIpJ/raFHlcFeBFeAT+SDJDB+4IzYY3k3GFTL+rNb1P9F7XmA1r FFb0kyHVOxTG2ZXh6vCehGaTZFrp3j21P9k7lFb+LgvuS3TzU6bas71NglZKJxVuJwG6ZD+dVt/8 A279IINecBLusMmnGyY3xHLoSMgyTX8myzRRsa1pQGXeMVXTth6cm80080Sf2C4wqqxRB+FGMixQ qX0V6LKPx96per0zc7o/BKwDdfS0OtpFr8nwwCDJmRcGfSdmGgHmrJt5JlmbXFSM58elJ8139M3N bqXy0bHjSbyB6VPJ46Ok2bj97G4Ny0dNksRumCmCLg9W84J4F6wMTLIZ0Gqgnr9m2lxAC6rEsxia 1v3O+akSy0tACLCXjN6SpfT+ErPx6tMzagfDQB/ulNugVagOsPE5JGjWLiYmT39mZFhOmxa90Kci Y6nxWg3WaqoUSQs9HK/p31epvqBV/WDI9K6Q6XU+i124ofvdCxrl20Ib0zbwkrKbhxMwoDWJo4NW j9KlD1n7yJNlhYMBiG7uc52NppzqO0rKFSXoy4se3oSvwEORHEK152ofkvSvsScL0q+IgYsH6n8S En0g9vWp0NP9IehtClM4PIIV5Sc0p05yps6qpj9Xr3NOB/nAZIIXtiQC5e41qUAi2sG509//lgY5 mK8VrXRAq99Kp+4Fl1dr4E9WA2VYkjVOftPaLO39NcqRz2GK6odbivBmp/ZgGJs2O7bLzE3q5/u6 e1igg4cjejVNhAQAWs2he0mtN5XYpmcq+JgyPRlTU2/AWamLTXaSapPRf0MrKaYvi3JnMNqzKUy3 uzHTowC8d9XKLGyimuawA1IZoTLm9SzCcdq1d13aVU93m/42WSHaRROaQnszTU8xa11ZLw+zOzUq H6v5gbV1ODyyluQwgFEa4ag0Zq3MCoQ1JRRYJVeBnMicWKPeDBqyaTeeHuCKoFHR06h4ynTdjQd5 TN11So2V5C4Nhlc0yB/RymrNGshL5UWlTreeHhrENNHvJxu6JukduqInY0e/ETd1NXT1c0uyWhs4 dE+pKPoalo/blKxtJe+fBXxK34AiYHiOar67GN5pDXIAkgvoV1ZuTOSFaO6XIO+xQwfZ335/a4Yv LmxNPVfS/xxLDbAni5X+ZVjVO8HdGTxW+vkQ9PMLipqxemz5pNKMyfkzpgHmfMIwfWgkt6mIKJHS 95m8BoeHKWXEPeuzleXKXPaZpl2tpcdVY2syk0Yn7sZlnGYXZTkHFNgrGzRMBdA4LSdTg0ubxcAk Sama6sys5PtCVgn4xrABk5k4Jb6WllUWvevHYdlEI26pyqGWdJXZhGN+MzzL3JsTPShQ4iDdCz1f 23qnLuvroauPhVV9I6zqgbaKoiFl6f3QrB5oWD5iGUVChtHcrIIy6op9GDYyzWwkd5NwrtaSZsp2 WUlxSt3ObUZ94PTqdc6PH3DztQvPnpse8Z5YiZENNZ5/lvoi1QL+qTZ9pPGIwxui/YA3wZtw8k/j njrqdy6MuVb+WrkG+dPWXKfEa2+mBrU+KqISMljubbzLZFDGP1OrkLll/XV8d0lQv98CKaZMBO9S WRwoJugwlfposqZvxq5+XHt6m3b1zdDVbynRI9WGKitZlgUaSoG+0vReHYzwZISsXVN9Co6LU7WJ 7NEaW5PrRTL3nMrq8SnzV/wVh2RZeAmOqUZuzQUKm2Z2c5lOvHVTjtnFowET8J/HqJ24r38anzY5 oXfrlP5dPGXN9V8MiTXj5woW642RWT0xxt65rPXTGoyCOR61FzLX5QjXThroftCZm3flWCejbBnm 6pqS5NyJWx6yfihZ6b5dFx8OV5xFopU3soAz0cJIOrs4DSvPkxqkzfUCNXEohFmrVYlWesv7bGUB 6R11DhgmPNMMU5pEyPMzWwnF+HUuHtq1lTvaf7P0Z385JPrl4M4fvxX99Iaf14lRX1JfX449PWDN w4ll02BIv6KjEnVMK7vAnVxUyDo2QjXVgloEvxFkU3BKCF92FS5ZEGGysj8EDV7ZhjrID9TPnjXG qcxOArGAKiJ2sQeK5ZYUb7O0FWwRxWyVn7bUfoy5ojyM92hv+JB6rSDgX0Sqle5ddWALEzG5is9B 6UJwdFzU9L1FDbOj0TBorfcsdcw6zNdgdNFAn0BK8gIMmBOYF8mDkIG2cTB+b3ONqqeVdepSngcl XjC3mxA2lReb+kZ1VX+qvp6T5HpFHJhKxe01NeVydVWPFCNdMFiGk3EX74+g1d555cWahsUTCrGn fnabGYec9CFsdNKLHL2yaSONBkrQJL8AXid6m22mP/eHcfz8lids/LqkR+OB/pmeMXkZgKL/dbys F4ShfgdpZ63p50NqB/D0ounstJep6zLD3Kc0HHXU64Kjn3xmgtj+kIkp08HCsvDMstvQmoTvKC96 pop61IrW4CZj3/XsEs2qFP4soM1UVYAVcjyE+3GW7WEa8Kjd1lAH4ynCik1vt8TFaUo1rMR6rsvf 20Sn7AA7ulK4QdDG8W5Ao0b6LUV9TZV+UKDcUXbsaS+s6s5qTbHIalkM8ByFQvaEKsqp1kbATn1/ 9JA1oNvSq+6Qc9pEwcDlWORPXW5lzLuq0ZdJNtBB/pBWwnPmsEU49II5oZnugXBHw5KGNo1ob9DH ChebZHxymmh/tqo13WuZVmPvZMGqc/c4WFFaXY2FVsqLWjeyrEvLNJOUpjnJolVXFivaWCGwNmVh 1GD0lGVAY0lkejbVwDExoVtTYvZqQOJBbdJxVr0xCt3xVCude3SQP6o0RTfslLq9ScDrZHDn+jqo cj03PqPzdY/hfCx0t3J9Punr8WSk26pHlecutEcZuGx/oA6RpvfVPcblpcnXJX3a8tVoJdjs4vTF J6+ovjudZfU6GmJ/Rh8OfBv+e50163sVNNwbpQJ4hNBV6r5n8wAR/n5H0geqof4bXdQL42DsRgNg 1O+KK+1mC5RVTcW1lukpTBCxbSCC8ubjGo7IkNdbMA707s9rf/iksuxgyups8stgAbfr0nBxGVtV 4CEv2iSUw5uzw7dL+xoYPIDFmyDQb2R5G4b3JFi1nk0D3nAYudHGeNBxpG+A//Zx1/eFkdpcDoSB 04paN+eZrj4V1nReXb0hS7WSMjsEEFiqyNHe3lNZMH2Ahc4m8czLFcS8jHL7JDYqDHQnddKQRFS/ LGEtOvaJ8XezbMNpRXk+nColHKC3P1Yo9QtHuRP/EfuJ+u9o5F61PhLi+P75PNOK8W4V1eOWtQCf 8Lrdg9X/G6M+EUvdn2R6F7pKNCqtB0NQdcUFR0UX1pNJx03rtiQKm86vw4TYRA8LwGSrDOURBMNF iRqTGgDbfsjc/GEteY4Gw8s2PBmMLtlnx+CSE/0HQ6qtkOmb6usV8cCEC7lLBC9e5Tuho5cnZMQc CkeJ7ByuaQ4R/v2K+v1Y6mLECi5RN3TmJKit4dtZ02gI3cQ1mprvDUv6LL3dZK/hNTro8ZTSasUC OC7gYLGSsKeqetQOCjTyB0mm9ynqt6uRfkGXzH+SXdisj4Q1vUdbekFY0VtDotPFjg7Ka9YmaBQu WGZDBafPpIGfnn6QQ6kyeVx5fmEcwJ3cvGqtgiI+ZbpPs8+s0afQM6+uHlIaJrZfTZ106YAjWPY1 KHcsu6SvR8DHjeikhHRrtRjiHipQy3OzohwEDnT4AGX6xRqQ7Yku4fur1vBySQ8r05+ETX1Wq1oP Pf1sMJ1JL7HsC8iUdGvQI+l2VWhv8IRrSdtEkPSXB5rgtKZOxpRscvMdIHpaoyKY9AbKDJMvk3Ew QSaoSp7UYOR2Tnx5jhg/YwYO9BCMyQ9grnQIQZYlLfWDoUpdVNFydPEJyrpCeadClo5pLgSr34hR n40D3aF9PaxUfxDW9Xejo6adOFpqhBEf7i0deoGM6Es9WV5RL5zXubr8BMQ3KFxPmz4QFIy2dZRv 6ronZv+fBweN91offrx4PXctqRJ/wPhZpEhwKfnrkFrweHkc6lyLynRepboh6lHTBvfsgu+AMnw0 Qus7qmcP8vF24RcxB42VvhxHepm29YI40Ge0oT/Xpl4cUpNwaS8bSFgv61E7s7wntq71FYYt07AO uzbwcPQ9MmsMKhjti16kdLko9PH0Dv12iHqzruhd8ZqVvs2V/3Xo6z06rbvDmt4ZUj0HYCqekSkm DHsaFoXJtDSHxVjmGVXqmaClmGt/9Kj3K4sLY1wcB0dVbLj0cG0rP/15yY627XD0qeH0IvBmHM4z RsINBmo8BQ67StOhKstM+bvMhiwMgo67XC4ZXfzdBcGKvuS5EwG5cdzJ4atSEgMCbzTt4QID2bBn 1kisU5/t+xqw1qtCb45Rl0PXzB5fq1SvX5AQ+oYHEU3jlL4DqgCNvVVj1e4GoS7LMmO8yDSGqZyp GA5qGeDKghU3OKVRSDPQNgkCbFeVl6B3N23yNqqeUlHsWF3e7TgTvSFy2rVxHUa6npGxtZ5WA+D0 T/W7MerzcaA367J+KO7bg/DncVUf1aph0U6FhgFPyAjaS1LzesT84oNVV8NY6H8KHbG1qPO78UL9 MHb1WEj1efzoYqWzsdQbyoHuRualnrw4whjC6cBke6autTZZLfXMWPO+DDiXVCa7S25YhGBMBHT4 0eb8a/X1UOxqo8p1UMI37CrtMobObYCQMODOc4OHHDa5pMH9h4r6cCy1Gvf089o2Vc+ehWnXpfq4 VvT2Bb+LhfnegODk8tZOJVoMQDWBQUoX63XiSOTlN3fnkXJf702Hul8D/UK8asCZZj0VMv2etrRu wSrT8yD4V5dV8bASiExwjz2DdBDuRGuToBXQpp8ELRrgw2FhAwIqhRyeZeWIews46SlVJYoPkJpn hBmhvBT7ysIVe6izbB6SQdZZjDZMI60qa8AxKPNkIoXsmL02No7se0dFsb7wNRcthk4Gwm0FVqob DnwcmpYJAS5bJm5QtyomCrPBgiitncmavie3PGC5fCxyxPSnDhhm6x3Jaf1QtmJuPEd7ongd3nAW m1IQKY/DtH1I0xOT8HBYAyhyKx+zySjVozhfJAYFhVlKKa4bzov3ow9ET6JROQAEauqLsW8n/SJ+ Xft6PiHp4yr0gK6ZphaN6zOxNDfsz6tv9CQMWsFQfj3p6Qvq6xuxW+PVgs4nhXbCvv63uKF/GgzJ YgHxc5I+pqhvmrErPbpSaYy6K+zoWYyK2yNlbJxsAjt7p51CYujvsUYUevO57o2pLsRKHwpr+pQx 6BzquK1E96int6ar2iCrdaq194ro+9Fojlc1LIbqJLcbtWrReo8q/Vkc6cXxmn4s7hopHg113uf+ ONDXtKcPqqPnhEwvXHB/+907aq2kxodyfjl+55pnBKY7Tr8PqSKy61SPq6snY6XXhZFNBJsF2uv/ 0hlthw39w5DqhRxSJdLUsC1a5S/ZD4h74DNFWVOyXL8JniiYHWAOlPi0JMaqm2GgweiZmvqEVhj7 7bR5MwJpaDTTGu5pZtxPOJNXlcbbFip1ckAM81QhZbo2OawWZrp1GwUA7UkqQvY6SrJ2ndb5I7vl gCfLvD4d4UUlqf3dIRd2SwKWa0uDRocAfFAHBHoyqDhkujP2dQ/yF8d4rRw98RrZPV4ELGzIj+Oo YtnIuvJy6NM123SzDYMaR0aYiARC5/qZTZidfLllQODGqqJnlvFtLtWy9YUYdTru69Vxz8opfhp9 pTfFPVSs9Gda09fUM2jjxQjFI+r5YWQ/g14Yje7H1dG/JtsKK3oH8y/oIjHqI8r1+nhVL9c+pAh9 QGt6KEivULASu/VtjKWAZzewqVsMe+auA36M7GpoXEDp7QkChalGgd5jtN7OWhn1rLCp56JMUL+G a3hTJjSYn0Ix2VUOZSM/62XyzPtejNJurHRvHOoFQmVzMsK+S7lepx29N3b1Qa3rBygDzTzhwMi9 nsUejzdnqkxj2zcPWmQdvQDUptAPaaCPxhWth1I/EXeNcvMb4bQeCZv6RUxSyPGLayZXtEjV1jMt zBkAg25M3VfUNFDcyLJLlkG78Qg4K/59V9HcvhOlqIpSCVhpSPk+MnhMw8VzXibQAKaG/ampYTNk AWrDEAhYj5lGLLrWOiOCGoZbepq5Ke9xVyMqEPDNRDfO3JkJVjdv+nicdWsCFgYP4CkIViZv0goR AU2sgTJAnceoeSnpZlNl0z83m/jjASZR9qQJW1b4/IHxcoVTFw2sA6k1/BN1UwKWY4Roa8N7I93G OcRkW+kdHSNYsb6rChKPzpr83+QzwPwH2/QRrerb6upsKPXGuG/j9AuxMEsnSBwId9weC92X7Jvp xRsCbXbph4L0l+btFvUDcWTlzFfV1ROhY1SnhkzuH573dSng2YyHz9jv3m5fzkGJTyHIcb6zqBeY pZXzQnkfvqksggBDa6P1XZjNE2DHeZpJCape58c9m2ah1vqIOtbUh1DM/WgWwfeilaHSkwTQgqyP h3CoMt9Sv3u8vguHGWYeUIAAFlsWWpNx2TV3qdDPalsfDVBuNkzyiCPlS+GUfjZ0zYNwpUSicdvo T7M6+hP+LLIx80GZBjdA5mG+rzzfrxkFjp0zDfxaGhkxviSBzrZhbA+MThMEAMhnGwyZZUTsvUlG 716L2L0NFIst29/IKeXWu7pSMyGa36+ljBFgbMkInXQ5qZ/PCi2ICf7xsXQnWSZ8GKva7XlG+PCm v5uldegzlXPOxiwzoa3h9ocFLNPLLoEQuLyM9bsNsNmIlJ3gdDBkumtEm9ggabyVIC75axywCqzV VRWku5FmulsRcRqZdDD4FkGPmO2ZLV9F/bDP/jR64Y2V1DMQj6LjnPjf48+vYL2U76qrp2NHp83E 1hdZ1OtDpi/GdX05DPUsjbSvRI/FTE8o0/11RuV675UEcjg9WFiikbWwDB+VTrTHGO13Zzhv1ayR g01WefCmNbztfXGOTukhXTLNMjLW5r69SNJrQ6aPal2fj8Px9PF7tWb+V7She9XVa824o270GgcR riaHzzRtZeF3bmqovuH94GHaNrnOTv0dbMZKmyr1oDaUh77+C1NmcJ8/kNtpXFOBmawZTExe30UN +yaH3ICLG29MrpT9w0AmN00poAuuttF+DZt8oyRboWGFJJLnxjwfpp9ve66vtHbgTg30ClC11kUz I11AqogksmeBdWxpVLKfUTgpa3cchkrorrvk8o0sh8rcGAjVCNOWsEzLP08UP/AWKAwH6RjDcGsD Fs1hMDru5DrvcAwK1nXaXQRtwUeq+16XbWTrZgtuf81G6VhkP96lG8er8N4AZg+zUrTNGo2QXmHa ChduoAr9+JL3YYLRUwdgmzX0j3/LVnBYrvtRs4u/ofTrBBTUEzOXpUdED4Us47JlGZkuq6Pbwpp+ KZjAr/0eHYO3h0Tf1IoejFuWkW2rqwsx10ZRKLcgUk8O7YNTHE2UNRYtR8+jY3WYhb2rcbTvLaW/ I9nrHg2lj5GqGwI37iuXTCanKR84Nl4PjzT09KmwITRTeYz+Smu6pjXdH4NeW9HbgpM5aMmwoAh7 UQkUDQu+R53ufF9ddcKW+QG4RwAPeW3UWUM13hb31I8r6mVdvSF4Se3tUneRxrzC7dnJPuv7QyAI gGcbHSweNsjX8OM4IC+M4RVlfsUwb4sv0Z1uAHY2wSSiZyY0rngPApUDdKPxKve9eml9Dje8RT+f 9gfDqNNWGfC8mJyOaVfNKIQ0wZVM5sSWbDe2AGfTwE/jlpX3BEHvdfPsoXKKXyQu6ZX5LLQVfW9J wPLmI64gbmw6/wMQb6nhi4WgOGuFkypncAH5G7Sgicqe3qbZZAx61CIDGJUASUm3eyoLD0DNJhj/ HHwo81LzJnyFIJk1pJG+9Qkijf6TLPwXLyrTF0Jf34od65GA6oL4PRj/Sc3ygD9VrR2PzRiP02kl uk/SS0OqV8wYZmLgihrqF5jSWIkTdHfMdWetpU/AcuoOfQuDgC+1k7c7nKzY+OGwENAMPSb/m8KA B6PvD17dp6HvMqW7FVBp5X+f86xH7kn5FiV6d1jT78dE5+i9hZ7eVBV6SXVNt1mTe5pvZ73GBONW AmBj2Hp0SWJGBtZ/IdPi4aDn5iWTqTTFjn469LVqbYCZ37XJ32b9u1drgw7VDWfPtinPeNg4Nrxn C2xg19gD7O+0QGUBs9n5spLMEbUDMrlGLslVX1dNaqbJQozBUW574DQfyOn7YgYj7NfAfeFw5XsB nEwZ3D5keI7cQgv6GYDaNL39+9aHMkqP6b0RpAuphCSOqcqeStF68UzWARgDFZgPG85u7dZOCenz IPGL9MnsvTChPrPXIlVekKIajOBgWiTPBAOZsnTG4nJHrcY7z6gKZBm1QiX9gBhvM01qtqjDFmo9 enNWMUaWW3HjeiNSdE4jTlT6V8frncHyRwsMCAP4pQbs4KUimVKmtbii80lH4KC5GrIyhr20cOnW 8N+XDYxRTnhBSI1JQPZV4iZUu/FM3QfK3nBggdtEYBaIE3ICF2VqAorH3bvW00AVwSzmL1lWbBCU Fmrff5D7u6O85OGZTFdpauNI85mwZlPJV1UDPbu6pp6VgEsAqXUZ9RUEIGOmlwV3Pz5qIze4J66Z 8okJoh2mMVUnoMXue2Hp79pewUrerx2gqMtvu8ICWQ8B1lsWZJ5XVZnUjatsDAtI7i2579bn8cb9 SKofSntNsIDWX12vWQy13lja4tzO3GPMhFGeNdkeu8fpvGWe0dr2aq8/eoc9C7jZETI/N2P5kODy uE+KNhp4NuPFWv90WpbINd8ODHbkOmc8Mbdo2clQAisgpffN55wvbiKAzeWQBE6T2b7I+ENgh3TM gNGYATR0CRepg6QMbaX1mjZ5YkrDz9FoRtHTvfZc5pXshBF2bg8nAmbHKQ1/OACnGCkPQ60EGumV 9alwFsaEY6XqaSt0ddt1fBFm4xUr3QZyuTYx8NJzQflp4DuCNeNo1+WavX7LNnPmgTX82FgFZJzV kdlLFjD+JCM6mA9WddPXwi6ZXmtR1L02BL1Yqclpr9K/ADc1M2SZvJA3j78dtvS7AWHIXN+Kmd4R UiMmH2NmXB92Z6QC1LcbleJ3eRyvPAIeUApzQRrfP+4YD1qbIcG929eo2LYhgRuqAIPFPyrOfJ5s PPH27Gc4Nptoeq1JOFs3ubv2PC1DtdPMr8pd64k55KMu002lFQt4SjEql3Jyj5sJ7AkCFowTlFBM UdWm8MdLINwCzN2Ymh4rooUOr0yUMMSYg23w7MG77N7agOVlISjoPUXTsyFIkaq6RXZiSgjdpYJt s4JgzXJ3nOMErFoLG1fo2X+peso60xK9TLLoc7DrkAqpMJloaVJ7tEfF4ZpCNS/PbKqhJYOE7vjL o5y7gDNN4hgeM6U0M1LHdnGCdik3zSf76NVI5rjhB18kvUD0kTbUCc5VW5olQG+yC22YwoseyFOK BhlFrRNpmJ1xSe/A2fl4aNmABXeQ3617Yj9f++1ZL2bdlApm79tm/acKiYqEA27N1EPnAqVROVb0 iLb0n9J1Pa4DvTTu6/N87riiN4XULOSPU7Q32lKYdBo4+QQTs/lAj5rGpnIcjawF0lC46MFcVlVt TrKskmDsSrX+NfAsAKEhW+vVBiroo9G7BZdFCQWfEL32vgGlR+aKtDO5LRXBwoUk4dS6MUTtS90K gEW8ZlhIE2hst1MM3Ap7Yp4P6lpzsd5z/scMYm3Czt4bmqaZ0jPGpz1sOen/kgXLZijDwdgQ/01a x6SzZzaYHXIEa/+5WxawGEvvp+gibdhGg+9HXe7KhZzxXvbMLQPN0U9a8E/0ryyap8c6BawcnOmh MYqGM8e48ps1BO5Z9UPDsMAMWpm+hHw+2psq4jycwjcach5XzRgC7FHzZOPvllsj1knUlm3UEjKm JhHoldHrWH7CsUkYf1dGs3GHYNJ567eZKgB9GRqny8nFk2v1A8G95XxDNsu+mxqyMULKmGYwYMuG dSAmrb2Zz73nOu61Jpj/vYNr+YMzNJt5/p61tZpqPh5Uoyozv0XKBUb83sygh9PX0+E2vSdd1Xfj nt6lKyZJ9L8r1YeV6Gl19WMh1f0myz3Ra2jeyww5aEIn9DDTE+nVH7XcI/OsCvtyD8bXbP0p6+mB teoqFARjL0P93mDz1tCrfNkkvM5EnWnFRPCKkni77f0O4uJkN3RAacgLh6arbjQsfCu3PAs0hsNB PWgAOkGQwRvQD82x8KZNyw9a/U0GXiQYZFAO/WHPuV3ZUHmBGQZ9ZNyZYA+ga9dVauq/iwM/eywv YByQvFS17RdJwkQ00pkIlLUTL0wnrDOJBbJx6tYFLLDWH42VHrWeCtwyu6T6D3Im8OiCXhN8fLxs auV9JZfucPUE8FeTDOawxalg0q0znxBpWUiyjyvoNyNtvqjXK9ErQ6I7q5GSqlE6WKT3jtcbEscT oT+bbphCBNiXA+MiornU/Azj/OEQdyBAi4j5Tae9sfK+WprO44saOyizUILqgSZYOlYHGt8pNi8b 6uhg5cyDsraXIuBMa7ynhssyswazU1+3X7JAxWeawb75CZ7XAoSTBSexlzCi67QAACAASURBVF5Q p7t4kkfmW5YcJtCuJnIzjVwPf59TsoXa16/q6Wo4oz9MV/WZONCv6LLeGPcMw3bV0Pf7uhYH+oPY 11dDV68MqZ6vYD1AsxCtcDZCYnmgTjzTovPcnOXBD1sscFDsnbQOJmRGk/chkyooo2BKYEG34JCi AjGDYLJ1BhcGDdpVXiAY6VZrMZ4z1RDUK7JOr+7JFepihFtnx3gKGv8WD8N6LzvZngqiVKdV0voU 3vXn2CPD0SXFhKwLBgPsjlp9wRJH2gSNnHGN+LceHNCjJWq9tcOR9W/BmkG+tmHA5EcA9Br/0TLI OqPCCSicnsK53ZKA9ZiRWkvt6sAsvieKG/6mcNNw2F0PXf3IzO8a1aCDvdTK2G7LmnHguiIl5dHZ lZ2oZDRhphw0d+h1HSQdvVtRD0Wub6QH1dPXwd+UO3pB2NPabMOX09IiPTdvdaoEJHvCOzBtPmS2 pzzfUdJ15joPORsN+24Q8/PLlSma0mHOTi1nurRfy9YsDkienueGHzs8aLkzj3EpG+/C9vtBmatO 2wntOKLDMxC3Ie8qL5sTm6DO9+MZxcJgZb6FADlpUq9MTQ6bRbBPOudMDwoZ3Z1wSh/tbOij1UBv 12W9Oe4ZFOS3wiljH/yqrul0KPU5rOUj7IFVvUodvSYkuqsq1a9waAaIWZo6QomkDjPY0L2J0zGX 8PXJcmak/DTLfLBUwzmsB1ZdcH3/mffle+FgKioMNjB1KNWtWxIMfhhqZNVavZ821YmT4Q8PNK1D I9HnO47MD4t11ptMptFJJ0NKMCeuL8cSA9gHtQbdAhmJqYaCKcha5bH8Pjq846xy8zDloPQAOYtL Y7Kc24HK9oSjeGbM06zf7dYELLYq+xfX3J+I2yStU//+Ka3qfeGcvhM7+pEFH5SGZppsjItGPhxp aiC7mNGMX7Qm+KDpQT1ZUpVu6C8U9RfVQL+sK3pd3NPnwooerDb0OwnM/a5ejQ1ZTaXxXgwAUjAj DR/PjSMJJkm2a5OxZrni5RXzTgQZz4KgnVegnYsFhGlebmSvl9hnHl+t+b0xxgeScdjyxiRBHR7W 0Q/gss1lgm+k/zPKB8tfp24EV7UbCoBeXGKWiPRZsML1ppaFJgsGZhDCvEuROc90UCI4pa8GhB9H epuu6pfwapT04bCmR2JHvxSu6blxpLWI/Vaul2mgP9NQnzHaU1+vjQM9oG3dNubY0Yu5omExUieB OjQxRjj58gfPyq+I7+JlZfRoSrLeAxU5dmQ7WuneZ01tB7N2FvoOog7qRO2BMnwBCmRhwEi5UTAy SEU5HP/+7PfjeMMdDfOnlGSjOTu3Zo2zrJyMv2v9P1RK2pkzZbw3S+YXr2ulWx1w2HN854dnrM5b rcrbVAYkrCkv0YDL5q7TWj4R386z475Y4yplv6NbsNAhpZ0JCBKs0WzAAjC57mKoVlcftV24Md0T YKDoV6C8SPk1XliKV3093V03k4GXaNeIt9Bafjzu6jlhpN+Nm3p32DRe3xu1b6DCLGL04DV0U+OT ciNdQ8+qi/fWzGLT4S+YdPgy3c6qrOpyoDX9bFQgaGyRgc28isETmEoeuSylp9RwyRgzqnDNx2lF +rpxbpXgQtcAgu1AkFTmxPmXLAJNv3O3O/oeEixNtaC4qJgwJWqkhLnuayYzEoSm/vy9zEPQ92AL 1AGJ7Bws2x/Edb0yDPTqeGDT12Yh2fOseEVf1b7+SJt6kKlokumn2p8SDmCyq6GpfT772BSv9vIM e6QRCrUYX2QDm0DnIzdKTTI07R1ZlefbSpN5UwrTfrOs6krtlVm2IDwAcKNSrq0CwX5+KZmc90Pz q0TVoZsbSZ+XWiSe12RZVUXf6XZ1u7MTUnqra2bWu2hay7XlBUMfghe7DcDr2sJM3n5+bFtPKRgV i2hkcLeYcwiNBz5+qONVTOaO7c3vkaViYIwD0i0JWJyVm4ax6RhIkiZoe8GO38Sy3mF4x1JsOMny iYY7bUwmYvz3dT1lfIhSK+bql9YUlGin9H+lK/otbepPtaZHQ0c/U+3pfjS3kokwWYPIReI4A0qA WuisxHESVBRXTEDOyyq0sjZV5tAwCFogYKnnS9uUNJs7nfkRBKcqk5+2/+Oi5Wk800KMKjeNBOuf HxwZG6e2R7NgBUiv1YMYv4Z3KdA9P8nyUuc4WS+bk4x3JsO0oAV+CD2ps3PBg73xkwp6LOnr16s7 9KZwxc/+GPSOuGOZ8OwCePBCDfWoDnRJW9qr3CfSdL+a0gfHoXDqOoMVOmnggy6rpM+GqqcdFI54 xISkvSjRolngJdNTsxwTEhQW5rFvPLABOER1yqARyzLeiGlGDk3nav35AubL9WG4GCjMZ067/dqB e/7fUZ0t8lodZfwINZb0LoppQa9E/6yrtNMaxNiBPtAov2y/288clDoyd6gnzFtzvG86mfWsXE6Z YIVc1OQ7abJGc5VCOQWJHd2idYcSPaTMAtZsQQPaBzPVh1TpCfk4+mYuo+BAbSh2apt7V6VcyU7p JZL+QdLTf6zOGDXk7+qafjjuG5+MP78ar+pZodB74oYeDBs6G7q6t+4tEaxQcDB+XC3fYWapMwHL jVz2jQfZeNS5GuqGbXSwJ0wxaXL2VzLJiKw76nWndRZYwcrKJmD5DnLlAU5C3siDkEEHMigrfXXr UUazaU0ap8T+g+Z+I9MzvcCWZdmtY96TZUadNxUHH8tMy/h6ppWpG/DZa3ky1hn7f6egP056+jfV We3Gkd4RdoyDuWw9HjJ9Wau6kKzqDYSw0YHKcG1cYqla1coJBOzURl0VO6bLz5CFdgCtBsbyXTJq stTSzXPHny8FA3UwVq5gHw3zxxyxPkfsZ6N1zPC1n20dqldV2us8JaXTcsVu3uKKtVMwAaAh9to+ TVwmvUzGw2Qf8DZTPfsdragoRqbA2+szlLFTUsGGWyPjTTZcQPwP+MwcCgcjx2TGBBWQef04pvVV 1TMt+FkSuRkLR7TsXGHF/Ad0ixZb4TtK9EyAkDt/YzjzoMY+bHLBN3eZnVV6u8oKBdEdpz7Aqu92 rCv29wB1Jpn+77ip/8PG5Zf003HbTmseKwLXKmRjKDwtTAsNUUinjW67S4AktStz/XNVNI1xE1FL L6mkoWkNUlckxbuOvlRvCrKEONpO3XifFiMEx460SGUIZoiw6+plgFwdCJiGVUOb24k8B7qrm6xm zkqJipHV4lUUlL7HG2pc77JNXaDL/qQ1hadUMgMmChdVjaJWetNOMywe23dK+oGko38RUz1Icz9I PxO3dSele6v8ZR71Ea3pe2Fd74iJLjCOT2lOBPN8pIRZ6Zw3GSQXhkxOIBF81fBVPn2bwA/sKKlR /qjHpiuTQMN3WuQuA+OldmN3tEABoiJXW1HPfAc7h0JdhvkTlunPvo6DnVstB5uOd5RoS9308CDY rF6KsmthQ6bUWhtUDUPlWJRhatxiHdB+oSVAgDGuZ9Zg9wozg8nN+m7xe9Iwwlm6PS1u3Y1x459D moB7ywLWfSHoT7Wi/yXeMSPNUSuGKuiumGpwCylMPMQr3YbgMv1GcPF+IQR9daYE+pvQ1+/rtLbC ut7eckmB2DocPWNhFjefSVqbajhg4ye1sWdQrz8JHnlxRUkHkwyX4sBxpzBeHyRPf217XuBYFftm VjA9MUVXaVVZF7DqxBIMvaWeawrcpLs1X67dikW5oaLBLMGC8Lel1DAsUXpZw9yVJ2cXn54M+V+E RH8c+npvdU4fCRv6O7qqn4o7puDK+lLo66tas0nh6w2LdLXGibliAqUMJQulWlJAekZs8GhMlvWJ yK5nYByWbaS0B3xkb/ikmXKsFCDS07XGFebAWH3xYI+mfAnJaBKMRqgTOggVzh8gZTXSwehhc05a ep87mUbDQsUIq/mzNeL++FAOlExnwyU9tGKEkDR8v/oe4PBTbmtvQA9ve2pA5EMGzz7HTfp2FVJu WMm4DA7h8tt3KDIgMCzbLSwJXyXpfwiZLoaspQo+vch2oFTc+jX/UEOS+PVY6mzY049Wu2MNqQ8j ph/W9LMhNRkUftPMWiMebLjMuBjbGNxWl16jvFB/pdF3b70R5QBAWDl9hmlRVW2YWWTAaLR5DTSr 4s5cR49N5qn74iZ58/7fTxG1G12wCmJReW9CB9YHnKCeGZhcEkmqGz3Mgnd93/wcXMok0x8q1Qeq jj4bVvU2beuFcahPa029sKpXxag1ym/DFNW/b1UIBqD76pHmos9ePax8eFr97m2HZltO6N+rVS1a 12Qv6gGnl6Eimlom1+5lpWll+8jbA6n1NAfFth9UJgfjZWTWccdv0Odkc27G2vZA3DfH8rSz7Klq XW9K4KyVM04oK/MZI9S7c3s7ZMJDzQEu18oefPQ87ti1dad8Ayb3hvvAMKLbq3m6ZEvVKa10sARb HkQJZN5KGLsW3LqAxYe8x2ybli8u4kYLEFNxqPWs+GOqTSmb5nCqwL8TZgpD/bN42UoKroWe1ZfC qt5Y0zy4NuNgVZetJ+Xa07KbT1pt5q31qcrkY1HM4CQqyiuux2X4fk6qDVXF0E7KcV1vGvMHlnbP T4Omg2PzECPKB8GclBxJEfBe/3kELh9CxLzUcOTgxLbNmfvyXTIzWbd8nw9anXpv/aqCfjjp6oMx 07vjisqAw09Xf0dosV9TBZWq1TvhYSFAjns7IKvNEu6y9kd75mTjEItFcJu+ypKJr8HYJq9Jb6ik fcDDt+eYtFayajZkHHKBqTJihp5lIXo9zB2Fbv2vxvnc8LxIHrdNedEC29Uwf1yd7tGTY+tdlp7V gGRnGnnUM2HvbS5G0r+tRuqFRL8YUr1ZYcxKYW9WBXZ6VBMOfeBe2iXzfksmk1ldKpvJSjyrbvfs sSBKtUDS90fTnS146zoiBJO672FSJCZfZJunKvsqK9LJ3BCzjfFpe7ElD5TqfWFdq7HUY6GjB3VK L9aKfsykXejr+CSIEXiDFjYbseSsutmKTUOUPObk1sOAc2afjipnjSA3GsqWZRllTsM0s2BGb2X2 JPSGOcFtUCPaUT7dMqlcKxfoBSWc+qtHeM+drNyDSmH0CTNLvfnbBC4ZFCP6gbPqEtYwSOAoXtF2 ETTqnLHTfnbxaDBQf6m1IBJ9MvT0yUhPNOh15b56BKtZFH49hOiSybQWTWuwVJY9uzrP/PsRZEpA FCgmHIwHHvSGOp1Np09BqK4zucHAJ9UWjEwza6CiHKiD3I1psW+6fDUTvhonVuFeTl+nA8Wm1+qd 7agM4P5yFUWcG/S0l5VgdeM/AXugAzOdAMpw2HdJ0HlI0r9B4kfXzOj4P8ZNPZL09As15cmynASF Dgw96OXBWPBhkAE+l1yWZXlg7srz6nadPnQ96/vmmtNMrCb/u2Gie6l03AXjG66hIdkpNu2GTcbC fu94bZenYVxalptzWcvPo8mUdPX+uKV/pZ5hxl4c+vqZkJosjKs+XjXpkAA6fOxAEhRSr6fZdHnJ f04rS2A/RahOmW6YUoJjt7w4zsZo7l52zoTaGpS0jY6raJK6YE+aAJXng9pV2thgKotMI8TWTYMT fhyQBed+NZpKc/ef38yXf91p7Vri9xgdIlByuUJ1xrhch3kLXs+COgITYXZy1Cy6M98IQb8ZUu1W I70iABINmm/He0OejhdKoa8KqR1GK4Y6d0pUkw3xEDsMZT4bZmsyBRvpGYXgfZVFCEHkhSpTPqCJ v2rGrSmyNUairjQoAO/ipsOELrV907QPrL1QXDTXHFe0RT0VuysOJbiTHZN1dvs2V3dtwLYOWyjs tXKDFkw0x9hvxhoIB6qgNFkmRC+tQZIDpN4xQcpuMj+JtnvDZFXSv4qVzmhX/yBeMR3/Pw25Plyd 1tMJaqyJ7ud+c91ohBVu7gLODZykaVoVlxcqdmAs3E1ud5GBOmg6gLSqB0b1ZylpCdATRkaq+7cT sMxRuYL533DX3GvM3WJPTTkTH7Us00hoWLvO9pim2F71+3g/N2pUPqkoN0Ro1jnJUt37ArK8/iX/ qBIrBTPS7xJp3m0lmaudNqNqgmwQ7+0OKXALq/iE41/MJ29TvRT9eOgyz1gTNRWWYzz03Tk7MviR xnUr0A4buH442ClrXiIYUykxPEph6bQtSKQocdrnd81846gsyaLYIP3OGZt/LlvWY2tMZSmtOQTQ UWciVtK7uD7M0rKFgGJV7RkYcJa3mSvoq+rpP+iUAJE8oEv6ZDylh9XTr4RUL16SuZNtNRDGmPRU dW5TQbaNY1IAde6Yn0UocCtXsItPMC99QmV1ely+tZf1IeOpGjAJx3LCbTWJmAqE31DdnmdVc+Vs wnV4L4v94w/lWaWVa6W3yf1k1nAg2YcTN5zg5dXIZYUgB/dSQLdUFSMl3cwCHEobU4oXSW1ODL1n QT+LHP3fx0pPxn39k3hZF2ofgrfFHd0dcr2vOq3/J6zpXSHVAwgUmRYa+vArtdDAvpvOzPVUg2Kx pl7mHM6JkoSbspoxcXRvUYMNVZcMnVkWrvCBaGZm9/gWqzW0Fwx1LOhdSncyqjSqTITsuXWC3ksY e8Md66cN1cwmJBA1noG+qMtfaKmun6WcPaTBeXlNlUBkF2ODVzZ7PqJEQnt7o2VTvq6DnFKuqx4n Y6MdT3lR8rOr5opCQGBDsVndvglDAB/lupEDm5KpGZ+t+aS+IE0PBrmyzDeCb956A0+BZRf3Nqz3 Zpv0eGl4W8GBDVWUuKQE89y7HvOC5QoH2FtxzROIA5CEL6qv95rGetA/ild1X8zNffp/1e16Lqd8 bSTBIrf9UH2MYNSLmJ/lJoZ7cyntpMQBelux3Pasd2YZENLMIchIXHGBjHWYH1hv0KdYba5jf6EG FGUOsjUjkO8LmQQOlHVQ8aoSa1KjHsLD6YOVcX+ygqcKoZ6WwfQ1J0lihxelXydZt/1llUrNjYzV lgqmjybSV+OGK7BVfMjFhxqzyi8rqq9Cdys3mCgLqA+ekRTCHxD4xHU9Frp6E8KJZLGmHrzrh3sK Ah74Q234YWDaDbMha2ALXmWRBNRVEPtLF1XmcH9RIcH7EJpZrtJs5zJVRtU5U7sRfR+WGQEYw7uc nm41qp4nmHLx4E8TTo7zS4DfFgsCpvUkpFlsNpOhbcnz0gylRRpNYoUStoWxSbvqC+iGE4Gbz8Em d4txAhU9KHQhDuovBZqQ8yJNwpZMkw3bmmZNXX4j3buAi9osC1ZH2sZfxxrrZ81nCzeyGtPZqhiN nY9hHnw6rOhDcc0UWv9+vKoXG0ZN2gdwqUQvbQUr1qclfTDm2lHUZ5WZLtYrxyxUz4JDumYPM+WI 0bZKZIZRVXCPy0mZOGnE8/3TsB+VhbomOzyBPbSNchepmhbVxtwkcern0pEerva1lXR1mqxq4b1t SvTFB3NaZ4nVmKM60fWCg1fmZD7sedBnPPBg9ZZLi5OZ/lxI9Ada0b/VWb1ZO0Z7YkYH0PvFGuhU LPXBUOijcZM6Qm/h1ZEXEj048mLiIQOHxEpAnMqzbHN879w9+pIJGtBHBNTt2fVAlbkIMXWs97C5 kTvswxV/o7AT/v4ELHubZSdzWU/LjqdNZNu1pkAce5mqoxtdHrZyTATMpWVe1dFIo+NN1L6exT55 rvVNr4HXI1ARACnfaiAcgdE0uzcs+0mqVeuXLau6Ot1Mec50EgmQUJ9QreujR9i5OQEF6MUIuWRL 9qBwoFLBlr65E0h/wLG3ov92VY/ipBPXNQzSz8Zt3atcnwyrViL+qTb1QMj0stZOehgH6VgadOEl OtC3taLf05q+IyzRkrEKqeOBukbEsj5fxaRvu/7jROHFGZGT5336jKGD24QdttxIlb7UROm2vb4V uvqMVvT1muHxtiWTdG83bNQKBxPMXntZiyIMDB/W7wDJaGnCozcPAwL8Uk1OPiw7Jod8k5V6XX1I W3p37OrpgNHtnkF+CFyUiTgf0m0jafB3w0KkO8XGQI6om54x0n8zRPIp52VVZv+H7Dh9lsp6pw41 WYIps89N5nZNeVV9v5rudXo4ey2WrgJJoB9zzIBFw87UJ48lTOAj56q7EIjYXqY7ZVpYzjmbf6Gk fnjnPeiWrbzWnUpqb8bWi3lPJe55aQC3K+mrKAh885rdsdGkUteQ7XyLebjI/51sZNy8YP0XZGno untP6npKOFfRxJ4KkTn4kJTSt2areA/nlPJSWo1B59J1XdVIX8G4Qz193PpuUTuhr18LDgwJdf7y HnQX4oF+Ttt6SRyYCuknNdJfa12Pqq/XhVSvUpjS0rSgYyU6mlO44TyjdMnErSpTK/PJCIpi23Td vfxa3strsqx8tGq9xmZBUcOM5M/jmnYJKCr1qZjrvpBaS2K2vWxB1srmLYMQMFzSItgMLKPymull tf0fuQb6eFPaVYesBt/2BgXdHjJ9SOv6c2XmkP2T2ja/zI9pTd8QpPOOXgRujm8GuSU0/e0ApaBn EIFmHP0nv08cEnlxdWzyaiMpPBlLn2hODGMPu0APWtmtnQoivcEEBBv4akzE5aPy4HkjjUbn8Zu5 LuzV0BqWf0jMJ61mb9QdzdPtsOsFz0UWtChYkeaihwWL/PgqlRak55My/7eEMnXPdL9wZaEk5J6Y +Ub988iUuKQ0QW1VSdeF9FzvC3G2CZm3yHEjuWJNfDvlSspMt3w6aSnXaNynZsN2Mgnh61n+3ZzW PTHqZ5KuPhJTfdq056PuVV+nFXUmBIMvNJ/kQ9iCxaHeqmt6WRyYAgj9lrOx1Bc10me0rj/Smhm2 /khIbPKbTWXFvCeHGCKENMFn4A/0PBMko8kprqkKeyooZQoMGzYO3U/e2zyjUbmv/TSY0OAntaqH Y0erodJb4p6h8n9Hqf46dvXckBpmcZkwYERVrrroJhb1ctUNEgHoWkzZph/l4waq2dWt2QRnQ6I/ 14o+oUy/HTPdGwb6K63rnrCit7UYIK75tqZYukgfgcqNhiegZrfsgyGQz6Hg6R/yx4dQR1xvuE55 GVeadCpFzc92Q1I4a2g+m0OMCXBYyVeZO4dHVkuSIzf4lDIacSf0+uMGgX3ByW7c25kxS0AyWCgl UG7ZF3ccSoILz00rPDQfmMymccwJJ3jot5RDIG0meTOLfhbo9qRyg0smLkMCDVQzrSgLjMvdkqxN VLXGZdmYmjZUJwT8CkX7vPTIOCw2lcZTYz7kSZbdZ9NqmvTGXCK6Req9ieJ3ZFrMcF9I6AqZ7jLr s6hXG8rJS5bmDnxd0h/FQvfHHb0+7hr3s1l3qNBp7equmOvjGulzWtdlreinQ6ofnHlP06gyyWGc Y7Ytux1/PKAH2SkVJYoXtCy4n8BNwBP5hPCwe5ekq7pUnNIHFU0cEq9J+kCvigM9T0BcpL/Rgb6m FePcXrBjfFnw26y5rJfteTJPBNv/DHjoS4GvOhwLeNKFDds7gf6Erh7Ult3Lu9XRT9ag6s5sGWyZ KL3CGZkh5GNMN42e2vRz2kw8m6BlvidGzl/+OU4csOzGmZkjcHznnzWBiQczz/lyXfPZsikuOGsK wvrBqTrWTzBe2QkXURiIQBV5mHmo4F+RlThXzDY/ygXJuvnCHXe57Mt805osxwjG5kF3sgffGrD5 itXszVSvvczYwrTgd5WB50lWlJZnrE0KDcTlghc1d8n4utb7AeVogYTGNel2/eN2WpnQWu6aStex zIzDMr5Gf32SLnqWzITqxpyEZxfvcFfts7gsg/4wiu9xoLdoW+fogSroUi0VhL4Z+KEXaWCifu8O qb4Ru/rhWOkHzK6+nSF7bytJzigvuzW4EvBnYX0oK9OtXeFyQGYXb6akR3/mKkn1rfScfl8jPaB9 vT3sWtnKtK35VC+LB/qqhpaBvTgEg9osWk7lOSUZvq+0hx9Q6SLl0pu56Fq+kek591B9vUBhLli1 r3HRwTjp8UJ6T+0ez9p5jfFkZFqWsd3MgMUAnclEisDXBBDX/CfWU/4BDpNNXY4ZOs5yq/K2QcPA Ud4G3sPjzPlaJ1oWXykjkd9oHI7dKBRZmOtBe9sJkpxamGWZRIyZw0alNfCUUxLu2OH3zpehjRH+ t+sErAiGC/+29jTU1TCvd6EIQZO0fSo22F/07YWaxU0OWMdZ+DoSnHpMnRT0JfX1xbCqFZV6YRzo BzW0wIDe+0iZ7lGlu8td5aDKBR6OJnSLClSjzvERNCAk2u/mNozzM1M/7vXQnX+SrWPy8iBE97Rb Rb1SLjToBmGT9TzLWgb6jnAD6piZ7OFOP6fr6/3+0q+Ai7z8hgYuXoIn4TaTECKbdZPctu8ow43D 38PgQNf39lBCFr84bwy/zl2Hl771EZbox19sPE69G13gqUJBrliMp5qGbbme4NdaZEmWZRl8oxhL fni55RKgk/tEeXy894Kaw2rYA+ZMUk/2Jq+GxLK79VzPJndQ7nSKPv6vVbjlva1lCwzQR9XXX2hd F+JIf2ZI/FXL8b+lfb1aO3q2RvqU1nWgvt5SHegcstUJevJDZRingtSeuScEom44UzsmN81rtHPB AiFLAwzleAGaHeQlKI4+tDDmF7oHD8Q9vUcr+hu4jyEcKmYZ/rPgiS5ffn9v06jo2FTY1TqqsUeh O0m1PqMlENYfsSmtSUaf9E0dhEiUdNVBl+Rt5VhmQnC4QqaXkDcnYN2sZXpVdRA4znKd6aMlWciA sHMq5Uql7lTj3KouLiXgsWptcH9IGlBdrRQ6fr9qChdlgaoGZ7m7zoENN0rTDaozXJvIYHBB6XY9 LjGHPCCGLPnbeYBAuj+gTB/VpvpBuif0DIFN4f0Rs/3qqmcYpI5eWZV6OSd64rg6+oZYk3WWoP4d nT59aDSQiJMs7gzB53xIdDVCEfIWSSNoSSsdRCE4s89p3/Tnv6GuYciWrWiHHKBKbL7oLaJ8cfPh JsdZ35P0tCJ2yDaFbRwYmiPMpY2RoeHgn1Bv3JBiy1RxwW8x8OAzOHSGxwAAIABJREFUsZ1dXLL+ LLWXAlpynML4Kh6p6d5YuLuzrb+KH+h889Sl7hACitYvBuVLJhc0Bw8rRZq+161fPPYNaOJmsuGg rwzzyxNdoCWL5jkNyVieMZ+9JNufPkXshHEdcMO0xModcs1dpOX1V9/PJtijh22WX5bs0q2UUKpN rW8Fj63WaTJ0/eg6Axbf7/8/T3W0zPbUs4DwEwqmb0buw8TtQ1rRp9XTcyIo7SvqIzhXC9ox/WOq 5pLNt66cbQLWW0Om98d1vUm7VsZ+PfRt+P/auK9zKuy/n4mFvqyRvqPM7OYWLZMLLmn602ODYwoK HMbEc28Z5GTZIh3541jpY7HQhUCDPtXdCsZAeE6t7MDEfYAhBlSmxMGjjcSSi1luKJTg/ehD75pi Rhv7SLCC5M+U2/wVi32T6Dn0kxL5kO6FNuJTQFf9Q3ys13n2GEg3m6rGISFiXgmx9cq3PGAZOlrS dxX13Rj13JDMTIlubNlENF5Vmh0esEo4gGFN3c6aYrGq0k7+6UkJU7hxULEEKZdSRNwmazZsoAZJ luYNy+mSzSa0PJlWXsbr72MtQXR7crdE0uBYq4G8/H/tvVmMZdt53/dfezqnhp7HO/CS4iCS1kjJ 1hBJFiU5ciTHgRQlCmAoAxIgQJ78kCcbyEseHOQlDwECwzb8YERwZEWSYzuBLSiJYluiSWqgSEkk xUm8HO7QfXvu6qpz9rCC3/etfc4+Y1V1V18N1gLqDt1Vp/b4rW/4D3Hhzxb+bTvz5seTAPU3cNZZ giSjKPAfKZhEUNbVugBlyRDt7nlnxqbFXU2bTmXhlmbPTRZa0g8y0dRIPxtwMsh1XyPo1UZHeUUT fUmVfg83867RLuDJgVHtcDE8mdSvm2jfzGe04bkBZtFPjN+e9aak19Xphk1j0c6v9BGNdU0j/Veh 0HcmE+MsR2pHqrEuq/fnprpGIcpSX+umqfB2xBgGHEbLAex60fqFrmrKZzHMO0YPyx4qBrLFHABn JV+LdOq23al/idYHLH9Qn1/A4vUkx/uYon4Bb7841c0w1n9vofaPZllgjyNFDBHCkY3J58vkF9P3 gboeGRVhG5gO9+x1RgPWvMRmqmNaSibhQespjzph2cIaIOvp4CjDhTQxCq5W3thybqg/b5Q6Ppkd r5FKHq5NiLgycQqVj1UL1DmbCy9FdIIz/LeIsunU1Did5/Z0/bj+WbYN2Jy0nVPYg6Lfp0w/EHJ9 Kp7T+0KunwJDFhv9is4Jvx9Q5O9TrZ+Ij/XtjPY3eCU6N3JsFKZ+5Ugvt08SrzG8reUghJzvjgf6 D/TQytx/Gi7oN3E+SolO2x7MTIxNkSOD2fFQ0+lI4+LlGY+WjGuUXTRRSwYenTXkgSQx3MBQF5Ni eIr+WSd44tbssMf1bcDwbLuA4fkFLG7nVyX9Suz065rolfhIP6An+rvdDf18NtbPWJH2R7NG1SVl daVGtxM/3pfZgQ/6fgaOHU5M1lzuxO5LwWQxE6LUCbD/W0B84Inmu3YyU7eg3uuV8ZM9eWpBUT5W ZtaA1M5KP+0ZcD8ob6L1PQRC2u/rt7kuO35i5KnosccA+VzxqiY2CELBIE22KaOLh5q0T1S015K+ 2MkDMCWauWh3iA3C54Pz5jrvZYZ6Qm4KHIAo/5t8R3dCoRfYlNpDnY8H+uU80zvCRN8ej/Siao0C qhzVZk0zE/3bdVjAgOPa1mD+2YbfvgHIHyYvxd6xCFPbh8ptyvkeuzZQbwhjS6dAUz2upzh54Lqk rnMRyp4o3bdL2Hhhk269Q/7BTEjmu7gHq+NItj0Ac/2afdIZS/vyEn5G0s/HVl+Ih/oRPTAzV2Qy fjjc0y90V/RiNtKPn0kC3b/mx12LJe6hSYLgy9bfFPcJ7Etkv1nojvef3QelpdtPI7cFSQ+iHVhD MtzEdTiMVIx21vatHiVKC+7c15LMDnQXkNbn5FOqZJOgvDqvsc6v7f09y72zgcDWO7BpQ/Rnxhu6 qHi2KkuwascjpE1LykqnJY5oTtB5XU8mjzUub54IgMlQBP4ezjn8PAa/ZkiSqGDT9nVzQsoLIEBv Ka+v6WbY1eH0torqUB/IpQ8sn6YBooG5oHm1+loCvizyXR0ODE/sWEwz7dRyAE+9eCLfVKeLmugF Sw/4/0K3NNKLiCuhdmIk1J6JsnQvMVpZS4VK2alVFf2mgvjhReXtrqaGCTw4QYaF/HLvkm74JKgu 2y+PY4O2fY8DTc9ykTV8QtIvxlb34mP9F7pnxE0WWJ2/EA/1y6HRJ2KlH+sR8s+0KJX21G4RxfPv 8uFEv8xUtd5TY5bmlUuVFKDZ558DKHCnfPfCZGXTS3SaoMHj9SVF/YNuqhes3SvdVmkqCCz3awna C664+i0h04+hGfaMv/fUz4e1x6BKwbl0CxOKrml9qNje8z09R02hVB7faaXStoWSa5GhjXVb2UBH f/brmJxnj3TYHKrKX1KZGA0+0Q1rswFwWvRbusDgZWBZhrVWco3p39Unk9c03tkxDX/kV2wwNcTk sfGYWWovZbPhqmU8IzxP88yU6Seid4hKvh1lIeUg6nLI/QDaZSF+2YVS77KNiKwWJ/BXVNf3FZHH SRQyNhswjeuyQUQje7uw5RKXd2Ynh0Z1jFoDF6hEIqJDr2p9g33d4nu3xnwQ3luMHk+7SIr/D0X9 41jrvfGh/rru633W3AZGGfTJsKP/RVd1xQi062jYp19gcvZ3cMw73TJR/uqSRhYSNn9PscZR+qwG EXhC/i29oeuph3QruH8k4EVSe5yvP6eRPhL39MEwMgeks1ymfoo+U5ouz3tl/XdgBlpac/cLuOBI +lSMejUL+ut5ox+mrLDni5f1aNbE3bTITkblBeVtpUmDZ95c8nrh+2h6Ry9/yXwPp1+3jAkw77Ii h2WvAYQ813UxaLFo8B8eeqN4d48g1Jq43uTI/8wpZmjBQxa+qnJ0EtpXZqDXYcByV5qDZNj7PAXJ fb1qz1Crm7Gx/hvAGQjSR6pMHYPskyyRjbgcv6iuu6Fpg/0XU++JxuP15wmjgjbBBG2yBuuvS2t7 c8dmWEbrOC21g3LFGpDUO8ihuH26wR74lQYGG6kNtTWYn2W9loLVr8WJvi/e138cH0AVnYXLu8r1 L3Re7wi7+psh16XUGN22li+SG12Qrk/thtgucIyO+x/HNU39PXBf+1iHpz8ncFEevgtwa0oM/mk4 p0+CHn8Op1gV+yqTIccySJUQ+ptR+p9jp7uxVh4RlJuYTf04FPpncV9/UV4amN9f8yQJMx6/DRF0 svCC9ZaaOPeX7FdsL6gc0cvKdDilx4ZmVqNJC4Tg6oIawlxpgqBFdwVzXQ90bcNxSbu7qy+cWb3X jVlYVfk1lRUsipNN+QK8i3xPU0xNBqqpLTprhvR6/gHrKzFqJ07tHWPdU667oRCgHQjRKJActV9T 1tGH3bWMCqXfUXXBEpRe6WIyxQ0b+y7nyRLMyFixCYvxnib4dzYIYCJtNPcsfC4ADjiCpOruMuPj 757EQ9pH/c8NZsQfmmsnMnZctyYx6h+r1W/GQ/1VPdCH42Nj7Q9vPZdnxxymuZidHh9+RXmx2c+N CduovD6j//BwTxtnyrvRRdCUydt0z8a08BVPErjWZZOYXEwb5GxikscdPxW/ct1iSvqvFPXJGPXn gmtx06/i0d5VYyjrfs27BvNQzs6JCAsl4lkvJ62vf7nIi9+wAnCi/1J3jdKyD4QEc9Swp7+ji4Yc d1VMris9HEqTk2WkTn+6pKIba9K+pZBx/aWuqTQusVXPVTeHUoaIowODKSOPpl9X017WGLeXAdrd g9Yl1Y17D4a4r53yimLR2IuLSmy/3DmHQHXZgrZt4KeYTgbrY+3pCNRLunzeA4WaNleq9T/v+Z9n d/8AK33NyE1TXUkB6zUVuq1K78IDqGP6e6g853mG54qsIs/4Ze3kiFnOj40NA2DzFNfsQ+h0ZGV9 HzeaskNEAwu14ubKjBf8XAKW6VUvfbRrOCOYhuzrxA6OJloDQCyuutoct6jbj9oHehQyvZC1+uZw uBKsWEwyfjQ+1P+EqWsY678z5n29HSy5IDGDgwsTpiF2Cksut+iOODuvOXa7KaamidwuaPNouurg UPqF+0rM4GQydaHRjrwMOwpct15R0uk8pyW6Im73kdjotXioL8dMP6fKhGo6CxZBnw8je+guGwdz dd2y3hYQy7d3cXUAM3D23E8au33r9rviE/1tXdJnNTJVBnOsM+rR6fqhRtTN9jQOpab4DeiBRvkL yvLSG+rtm9Zv6g2AmwZ9e1j89zUB0hMvWabTLzNRIEhF3GCcz2rmCg06E/dmRhF5uGTGvseVsFuP XQxWxmpr+kI75gyO6WnvF8CzAhQAeWXL4gokcryZb1LMz+CAZOYWpvK6p1dDrvfrSI+U6SCM9JIJ c6EOi/hlf7BOPeNaDxfHh8y3S6azOR31jcTFc+U9TKyNfj13iKxfwCdJyfPAbZdm7H9exkeqm9GM G3eSNanxm7unIjvS1XBOd1QZW/+9a74Xwum7NdVP6L7+Ybyi38tLfVvwl2DDES/8nykhLHW9bKrX laryqwsaPiai3zy2IGViZmbk4DfFpOeGTsBGv0FhgevRB8FHauKhmnqsnQodymgGHjG7JzUjlfn1 hfR427oVow7jRD+p+/pgnOgNlabe+a/jvmpV+h9006ghZeh0SY1loQSHffH/rfWzXv4jgIBwNcns LiozyeQB6UtAL98XJvr1uKPv1RMLWDz47Oq9esFJl+kxhUqj6moKNEjNBE0sm54rzlqmQlyEUZAh qfRINZSsCPC0VwNxKeYZ8KgnVJeXzSw1xNIcknIs0+x7wilknNgs5zCAEHLtjnr1LH/JXfYHDu/U XK47DChy+nsTHU6RzCEb4nm7pDKcXh+tXzRv/lrI9M1hZIDXV+OevhQ7vVeFDWZ4ns0ZfXYC9OhK FVAwllRAQirHLRHccDiO93Pp8ecasLhw0AfIFEBkw/gnPVxV8iR8ogn1UE0zPnFpSL0LJwwlz2uC 1jDS12KpD2oiaMZDVjwYkd8Iu/qI9uDp68agv3WyRXOUnhyXiswRw8wd5QU+gsMbEW1sTUPX9Lms iEl8P9slyoXAB7YJLMtwUzHDDEu1/QH08f0jE/cno+vdho5L+dnTv2qYlcaUC94lpoK1ySh/Iuzr L2UjvV8jxGrte0nc6Si8GTt9mlAbO90Lmb49ZFvJuGe1ksufvRDsxWMjAed63a75fBFgf1BP9I/i ed0OhXY1NeVKGrYIy5z+cV4MNNMafNii6QOKmOZHOJvYotvE5jJH6q8PAGh8AZJ8JfHpTp9VQW+Z NPdtglwWBFUPduv6vtP6gXHz3PbOeahNRw9uqhx5b1OknR4rfLltZUkn6xJTdwVTTn0UaDFIL9Js j1QvQ1YFvwc7s8XzLvLzZlNGcAP4ukywny3DXmHQUTyfgOURnkf/wD0H4w3b+RpjXQ9VCYbn5FDG pnukYq3r3OoyMTDSz26qF9nJQq7/M7ugj6LPlJrKs2OyqUald4Wx/vMoXWqC2oUXYbGfwlRoOGSg rzQqsakgBXdoZc+JWjoRjUpIncju3lvU84bYaSjlgQgflBEC1srZebni3+NMA+uxdJXykqDnP4Eh J8hhwITgc4ayvWCt7tor3JiQncfMoENeHBX6PgWjKQH3mKa+Ef9GbslApTSPTQwvbJllnm590SAU HkwNmBCjHioKa47HqQv1bcr0HzLRs9Iw052lx5Or/0PxQP8s7OsTYawbsTEZGcMiPaMBB9lx091a UMUkWDkae+4hgHgkjWT0wMxOCynJ/NLa7M5FHI93W960DDCpx9bB6+qJTRNdKXXdSqIDA24rXNOu bWwai0chE1ArDbfwSmMyU/1M6nmioT9eY17LF4OafnTD5lt3Rw4HnH1WP9Vc1+PmGFp1OawDT3C6 htJwMoNBuLT64nDrTAKWmz16yUfm44TgYBG+zEZmxNkQ3ePczml+VtS+4JFOPi2kD+S0k07vD0E/ qUJ/EDKDNyyz5rjAFxVMJvedzCWqF5ZG0MOiI/3M0BVnTT9ucPCWQZLiwkD3KVShphuboQSWRfSn DKW7hJNxW66lbM9E4ghY9LKwVIcs3WPakTmZPw1Ggg288o8VGyzDLsyuIegzHOIQXCHjZPm2ECyT Alj7fmX6mY2lwbM3avteCmXCW8r0s9lYbwSpMkQ3InscW6uxOsPz0Lz9TDinr6sSYJFXFPRxldYj QZSvPyqkhd8Xan007ugvxgPtmHPcswNVHMzKdUcEsZcBcjPUGWi6y43chQqstTgs1LonZBmwXj+7 KZ1LdtfpBeZ3P7RStIsQglelcayaqWk7uPsMy2zqE47SePBmJzdZUZ5o0yZCoPpYjPqcWkZi1jRA c34byq2/8jgfGedvdvz8AyXS/Q00I74Tld3+XHtEO+dIMjKx+5rl7rfIs8R5nUnAgkWOXJqZm/a0 AZNJIdOidNpR156b2TnNviOWyuK+pYh8z/Jy6gO8xcXxsD0Y6eGg8/UhSe9PmcJy0clP9erddnAm x3E2C8nXaX3bfA+nzdR2QCZIJYJ/AWeWXbUtshiexQ3PgYeRr+Grxo4EHYbzMw6VZWpglqJ7Iaaf d/kZFAh4oMlOWkUU/eUqmUXam8D4v2WUidZVOOORfjrc0Se0p/8r7upHQ2m75Lrw5JZMaMRzz6p0 /GWSwIUmcnyQqLu7BmycKtcXdEXfqCN9RzzSuejHg33USJ39+zcCCgs7el2V9SLfoaD/R4W+Eio7 7uH6QR3ob+uyvqorumyUjuqZ4TF9z6ltKzXtHQxdjKLctzHATLkOQeVqu2xGIOiBMcQHUoMI4OUz 0wgzX8LmkaL1QMmQKEF5JqD34H+4uwbMeklTCMRWFnrAMO8EshT6cDwbA08CNvjf5yuiI8booVMV j/R+PdGF2OgXwxVTlzhvIXrzsoBj2d2QakUkOpnAowcwgmiVNgo2Dk89eOboCVO1cL3PJGDZy2k4 qyUofjg0nhXefQj3d+1EscOg1OVpCmgfmZuQ9twhs6q2ngSK3hOL1Fl2U/kWKRAuZn9BhwoAm6Z3 9mVkVXcCnv8dxFufyB1H0eB7G1jmGEhmsOYbCxplpLlapmyrUmaE527J9RnFUNDAfS+Lc6V0o2Tb syBEbd/huGNj60J56fr3rIbdx+SQ+x4Kn/FQTUvJWOpqluslZfotVfpSqHQ1Hlr/ByjAj+iR7sRc X9OuXbNNZ8hm0cXH6jDAtfCH+YebenCMo2y7C5EvsoPaMtwd01pvTSaYvuPyuhaxkGqE7+8oBF0D YBsLfVaVXiJLC7leU2nDFRq+j1XqjWxP34p88CyQ06QGTU6gIVOlEb8963Fvgm5mjZ5hFtsWMoXv 0JnmPt5/CATmluuRu3qw8otvHkbm6ILGE5nus0IJvHd5aHw80iMLWbnTmcjWN51TzjMX6Q/hq0Cw Om8GET030SeYHlDvJdjLr8apQpzqmg71zXGqVzQ18UP0un5V+/qNONIHuBfHHK/19aJ0EDLdDXid 0/88fTns4HTvF88/m43ZbfLOJGAxuWq7i4oR6+lhwOBFfmAvLZK+6OI0rTP97WLiBJPlCQKA7RUp NjeKQEVDmgsPCO+cMiOnujECUyFzk7ax6VAM0GqqNF0oU29hMYchc+msy7OIW+kvjnV7cLLRhS00 CUpB+nVkQEllIQPhe191iyrllRkTnYKGXXI1hSfzHFs5belwKg+x5jaAYEF3BhIwKbzbmvcLJryW HIxNgaB7rLbb0flsTy8q6NdU6ne1Y1PSC2bbEVXFaA8VygHblCvcTISG89xl2v7c/tPv2UlfTDKo a2r1ZgRRj+3D6iIUkLsQsHg+2NWvhUL/Mp7TV8LYJoZTlSqs2Z6bGcI3Ii8z3OTog1ieDSjK8VHb 1GjdK+9+GvxAjXFr+jJh8AxO0o2sqd+bPWC5BQTF1DWG43vhWnTfzEHm08OnWwZl0cSArTSnUdr0 5zhTFvc29rGMeJ2jvgpA21sLmyan5KxfjlFfj1P9p/GuDawYSA0HVmjRfzzu6M1QWaM934oP29ck 5vpdtfq/zUhEejHbtWyZmSbbW/WUVQwbumeYTymRvP5CndekfZDs1ntNI75weUVvfDdlFWV6Medl njfseFTp+bA7zq0OPDgQyBh2Z3NzBIKOpeseZHwlnLYFrF0VERzMfBkKmWPJ7m6w3krH05KB8aCP tjRo6VEtlir0q9oa3fBFYtKmMsEtkkbK1/we0MGkxq2l2fMpCjeQXiFBZOEUjCMNiPJIWdzVe0LQ +1Xpk/GcDtjxjErRGDIZDfEfO6Z08WnlGk6A9XqONxRdXu8KtT4VR3qygRh1Xp321ZiK5eP0gH9/ yPXrNi90FQB2bYYAN4MPAy4D8IwHptVO09ZbEr4R8cK39AM7NpDVV8U2vg6SCbQamtG+CWJThVFF D3o2fz+08x2Kb1UBjWwyqgXxxn54FO9KLe/D089XTb3DXtJkhUX3qekMNOqGtptXb3vfH+/8fL2a 6KedhORvDEGfiOTLnWXfywvc26+E85bRQrvZdEa9HdmjuKNPxUZfjE/0fpRUs1qfjMEYgI6Ex/Mw mNM6Xyfp+JmAaJqmk0/MAhaYjfnYc7gcB+GI3i0XKi+VNeddfG6Q8vuEi12pUUEDfsG1ZPbbDVyZ bRDDiwH5Dk9zPWV0JO2y+8b8JKMRtNePSukHHPeybabvWCnYPbKK33R+llbIJsZvC2gxQS+w6wcQ lF1v/e/t5WTpRrGL99faH4TF60Umuizg358zx9by0oVG35CX+qsh069rV18XDW/mOY4YvxlzfScA yY58p0jHWC5QRPw+rpMAcgL8adc7Vesj2jGYiXdlfB2lXhtlBOH/Yex0O+T2gmDq+e7gs+N1OzRk 5TajT7YID/Fr536DTTtaiz2iR4LRLSRqW/mRZ0/dkbp4zjZXz04WnyPehVIXVZsPH0FrkOkaLAUX JA9t65/145fp/xsL1pMBoyDVmfLikooTMCFWqWVUA/STowpK23xs2/EHFfSyOT2f04fikWHxhgs6 1Ls00e/EsT4UimMhLm+FoK+r05/Xof6KHukreqKvxFK3VOl3VeqzoVIVS11RZkMVnJEImpe3PlEJ rzgArtpiogfobDgWtZM3RjwGoscndFgRTSlXMhrCaTqGNVJYJzDmvCv/c/ZQbsR6BDoPpJNcXRua 9DzaKR4jw2wl3ooqz7Hn0Wdp2wxX17pDW3B15DVgWeRHiNgYkpqXHWXFGstwPs9LE86R8pryY2ft A891iAQ/Iw73qgceCq1HkbI1On7fpKD3hqBbyoyadL/HOoWodzdHmrS3/Jpy/bt9jazs9kfHe1Yj /KpmkkK9pAv3o2nBwa2Dd6xfL0ZewqBP23zQ7DHMq+9eQIWz0D0Veh2JkoBPUY90969Ni4Biz0GX K2ZL98QuCOX2E3Udjs2jJbnhx944X/g8yg6mcRPbQEbF5bWmE3NHZvpLD5eeBfpeTG4p42+cGllO i4D+FVlFD5nyTI+N5fRFFefBxJoN1l2UEDLwzYnS/PtDof817up3NdJ3LbmOP0QuRq1+P7a2oRBg Nr09vIm3garEWj+qQ70rTg3/x5V5GHJ9WaVhJRmqvK5Sr6q0GfGPh1I/sOTOvQrtAICTrsPgr7wc yxblN0h/aeZ6qkmGs5kiYo3LLllrA2cinQ+45C7aKtlNgUdo4DrHEJGKm7LgmoqB97tpHqkwJ2IC 1khNVyriJejfsXiSCaHu6J5TiLKZky7k7M0Nd/dfo1yjUb5qaw+XjJdj0twywCe7LuVK2yG6v6ec v18KXNbDosFukins0HStbqwNWFbehEsznSxT0bApEiBIjnuxXOM1hZT6juF5Rmna1caRs2yNB9ve D/BFvrgvoSMgsMM58Tu29xOr/rFq66tUyjqeC6ZB27OJG7HUtVDqd8IFfc52ekodVD0YmzN/C/o2 BX1TANx7smUKCi3XAlOUuzatXYSsePM6RPhtAxHDSEn/UNkS+dnun/FFJ2prnh9eo/XDHncAv2hQ A2/C95rxaaiTPVTdVDZ5PKnrkpepB5bB2+wX1Via7XZM9G4fn4Jr6r3ehntm8BoPgCD1Pes8bzJC 30ypFir9ss7rW42XGfQ1FXpLhX4n7OoN7emVBG3YBjlFRJ3sCo3Xd1ullq4nmXGMNqn+gCbWz3wt lPoDVfr78Yq+GgtNNrxr/XDM+ZIeLI99m03utLlvwcxQ3iYnmwLXGgAlDUtAbp4SE6yGN5x+FLvz A39gDP1LCURAHKtGW2pTmQfvzkadpfd94r46k/+dU3fnF4mXl+NcY+wYQK17Wbl6sjsKAUyTv4Tb CKihy1UjoG8viWeGsatUZletT6YMzFlP5uSBg87BeR+kwAX/y68lwa+XDDEhuDw39cl1a1SdG/gx OnHXYAYDZ5LjlxusQuSen9fio5DnhX31i4zKLMOy/lhpdGMthinuFe2sDVju0k3f8kK4rA+HHX0l OKGaKeDN1Eu5mL5Oy1u0DdJ0kmD/gzFio4Q0i6a9Bw7OM7NjXoNw70YJN7h0dTpUEVzvfSu1B7yc qTWgi3VoU0o7rsL5qG13R3VDE/7iie6NAyiT1lcH6NOHNdZwZzoYTl6K+3Dqkdo0xU6nbdmKQQQ6 x0hx9X4o5Po7cU//UntGKf/dsKs3A2VjZe5E3xVQt9quaYoU0KuGqasNK9cvIgFwFYIfjtfXY238 1Z0QVYXMKoDNIwrCp7uu+5BjAYe13tyUC8/LFnI0sdFlZrQKjZYsYUdFHKUABkbHd/dxhRXA6uKG YnVFoxN2tkMDHirPAN2RQu+nwmX54nMgpMouR8PNR6PotHpa5kKdAcFY759AOcVNPM5hpm/GIqBv gNkM+y6oL5QQuY66u/OHZPEXeOASgeuRB8hI5wABtv5cafr9ldKnAAAgAElEQVSVx/YqbPeMtKhd JBB4iKPpnXx7vApndypRPQP0URImN+++t2PWTDNdq8XFJJjAwYsNWfivPEcfQ4fNPFbX0kB3Dp5l neaP6RpNfXlGtTAqb5qOFPbv0aoKH/b4a7BvU9rjMiM3yt1T7K5q0r5p2WdZ8i6kv89oDbxpWSj3 ZztMhgDHMMk3IfTaQxoAmcu2LqkqT847cG8AGCEHitHZEv7nnCD9untmErybj/Qh6yVV+qVw3X7T K8r1gyHXDyVTj+PCZEzc1Tux0Z/X1Enp6c/RV/vfw0UdhX193jLrWjfikemycV5k/jtbzoH7UFrH bclI1fsUx2m1e2rqEE2a9A80MZuesarsuspivbX64qk5EdPfDYLQI7Xt+ZkdEH00mwjYofhEyhrl ZBwrbO7+CTtp0ErCaUwBe27YIEOzl/wUAZAXYFRdUdPsWQAaVZd1VN9ZnJRuOhIDBB6ogSzddip5 QGf9PBq+m19uw6vFR5aNwqfkXtDgb6xfyCh77EqmW8GUS7AIa75vXkwnG/AwRoFxSWCXiYnikeCF GwbJ4cbVa3O76USa6oJiNgWKs0GH29Cn21c9nZoaSFmm4Yr9bvCAGH/M28ZsrhDui27H+HoQzw33 12WGMTupBZhl3Ex0yVoDsJ7FPixl57S9rTLyfeSW66+yacPHebZuLRV7BiAQj1VWZGnbn02/B/Pn 2ezlIhkVrYnFiSbtjGl7V+Psui6FXP91yPVJ7RgM4T0piJz0TWBYwtaJnB9KpP1iwMNU+k5y02GQ 8iWD2ox1EDvD0AFfOela6WGd1l3FAxg15pONTerhMkBmt2dgUiOKpBQVRO94dNl2vrqhtADU6U1f 4Ansznk17yv5iBZAmd8EB3me7ME3KZC6J8r2cwf/3DzfPzW9ggeQvgJfbnTJZPAUP8/E00onpmed UXMQNTuukSqULwZBx/FggBqfmAomuLhRsanp6yYCcxoFWRAv6OYjJ0sxiR305vE+xOElmbkCs8ja BNRcM2ChnLReiuHrHAAIcBgFAzcCPZsFtCardkxaBTo39Fo7Pl7a7iAJ/S0eG8/OTnVNTXNe0xYS UeWwhtNsXIbd2lPdXFQb2bCWstccJsRtZdmNtImsAzQTqAbYLvtB7ivIaa7fE1UWcNcfV+9U45sV FUKCZWQXEPsyKtFwomn/HR5pilJKcVHvDtlaKeyTLN5mrjhpDBNflD7QWyNgfREVDeOvumwQ3MSf DAxbQCienhu4JFrlyqDDsb6VKMcsRO/y8mRWQ+A1unhedetpeNtMVQRv9ButJbtuCqUEgGGW4T52 wB9ag2CQ0VDvU+NWxbUTP/h85t5OL8/x9Mz1dcsfkKtqWyRhXF7muEyLPklEfbXh3B4bs348hifJ w9VnXYuLbAq1gNXBa5g95Ii61e2BRjywa9bcHLdfufe1suXM07+m2KUFKEK5ihwS0TCwM1l7oMmk 0m71HuvBDZfxwnJ6lvPso2uMbr3FNss9ME86hWQ5Q6EgQjp3NTkTmXSPwQ2ONjatcRbK8xefWvSO +2imnw1Z6MPVkjt/rEmda1whCFCumTwDO3Cd/eVFKKgjpWWhYonC5g7keBa+pRjuK+vO2fvQB0ZT 8wQ2bOU8iimD5zEj671vSUJVPg1J2z8L8g96WODj/34c6Xyojd6D3trnNdbLgS7n4npaUv0sYFFy xW4v0VN8MmSHZBZPx1jP2xj+pP0JXoVK7ZQGO2heShHApezgpOnn1txM1zxq8S2jxqcUyumRIIzG 6JpgxQU/7YN2dsGqX6OSNHzfuYAYJmSHaTfb4NVlRhSVsvxxEpCb6Mn0y9bPK3OHkxgxd5Dqk4HV wBsM2e+Oufaet2P/PRmZDPdw+33rFxkT0e/JFAFlelQg9OEPlgpZpSZU+n1lejXs6lpozZbqXASH T+BKLjvQNHPKvNXnAB0oep+subgb07V20Ick6wPZTTZBr/TQJsc7IzQDTrcoh+EE0r+xx9KyLKAK D1XavGvTBPjZngdTMy2uaVK3CsWjlc+GfNxnpcMFxKK157rdXMmgztncViheXDAsIQjXJjjoE1LT 60oo/x6K5OBXJppIlQ6hC3w/bRkC+2kDlg/QOJ9xVlh/EojEp/nSSJ+Ou/o3iTP6E2fYu5yd+ag6 r5HNbBYXqSgjek/81mcLECyPf/l9J6D8g8JQjpnOpJ0mcjMeaFxdXjHcnNR3jFhtdkrlKj2AbAKw H2XH0wL1znq5PdE5lRa4DtS0d21q6Cjsob9f75/apmZ8bzrJJnFPUxrC07FyXVRRusdg34gkU4V0 Xjd3bFIJ0bXIIO/WqusHZrrAYGL9WnKDjli5YR/F8fVZkD/YxLKPhF39vM7ri7po/SruNY1VuIEX QqeXQ62XulbfF4POrXnpecFiUybpljinMtlUDLAs9BOkdO+Z+Bz3lA2JsrPrGGQc98AvZsqWabU7 lrXMNlvr2xzZ9TluqPIsyxr6xQ0dNUfKZlLcQbG5oHFxfcXNum8j9Nd74yKjzg40qW9pd/TC7HyP pq8pL2kR9LxSAsld5R3l+byNAnWmU8LPWRvHaVaxrbQ3PgkvdHE1DVnfbZ9qNheM+H0hr/S9Cvpe npuQ6UHIbHpolmZntI4tIZmq4cIK0ta0mcwyeiCA33YalyCJs+3yMzXTQRrqXLDFB8yUCuN9dR1u r8PPwXfvvnLrz2zeFZEahlqB0+8fp+WBa19l3PPgQuCi39PzAMlqaXYbkXn1502HySZYb5ps76RG L/ymvXD22QUSuHumQ2ZYKegp2SOVCAguUTOWPlllfll1/bqKkqkv13AuCbx4Dk5oZVT97+pA36Ej U4CgT4Ef3esx1+93lT6uQq/lY/2NDdfBQY+0Z3uHa4LUkVoCLtlPfKSswOBjviUR4Kb1fetvblpk 5mTfbFbDfh3ZWQeBHLxfYkewMZpT8nMMWCzI/hXWGc2rNi3G3GKnAsQRdDR5qFHVo+j7Etg5sMdu +gGdmAc6wj258s1oVLyoJr7qfcEEyShESbgo3W3tCqa2AVzlbTUmsRxUVRMLguPq5okzTOPRRkpQ x03GeFdH7YHy9pJJMrskk5d9Z6WnZucWTyAvw47Abo0pg49ep+ZUgjsGAQyQZVZu/hjcMeBXITub bUCH+7vVqK4fazSaZ3n0Qroa7Nfh2pLKdqeWfD9TzHuRwJNddIwGKD98VuBW6b5T0ypE4fHcmT3Y fXAp8x17uWpkW5CxtQmo9yiOW2QcXPthadgv+hR188Aavr20SNvd17TJzS5p+ZqwuZDNlt05HU7f VAeLIIf+sD6DRt2hCUHX1ZogICXht9BAT1fsq6HU3w3XdH7LZI0snHJ+OJ3MClfuYsW6NQjEcBGE ec6SONBsoUZQ4w9gk1Lwebx8LyuE+UvKNWnhYlpZCNQBuEhhqgfPexGerdeUv2LTydHokhG02XSU kxXfNLyiSx+T7XLlffJ6/IqJweGrKnfUHF2Qwn17F8rshsoBY2G4wNXRPkFZNc8PbLOy+5ETBDPt jI6H7HIedXfbn9+wCLbt4i0d1g9VZFdUmcPQ2bZc2HyKBbE1cA45jsHLD55PHBzbQdOVTObSTKpl 62TNfo4Hak2wMgQrAn70ay6rWNP4c5Fedua4FKgcmzLOsUmi1wIcYPsFYjcmUPEVw22/YWt+pJ7m aqcT+1xDyydFiF4dggcG6szueNWXsGmntmMBLygo3ZJ0jl8KyjkUQuEZ+t6TF+gvPVFbPzTOpGHe NpzGx7JLxqf87iUiqqmPMhUjG5thgJiM3dO0QQl13T4H8LHS3uilRAepVbf0lPgM15rnOGomOgbQ lc4ZH3HVYYcQ8ECFdrc8oPTD+qHA4ppjdrCGc+NeJH3HlhGMKiewt22TgjIBiEzfe2j9RsY1tAnZ IGiCFQwdPUWpQuDQBkNvj6W7CQJwr+OOYfXMuxDeIiVbg9wPfVfHzBXZJTWU6BGRuvWfZ5emBZh8 U2W1OGAaV9ds2jdCyTPhFDcfGFI6rbJiqM3dKmb3dTRlKLC5Z0g5PW1vpWDVbcBsol31ug6nD9xv 8YxcoPqVAhYScK4Y2ralGR5gRwSi22AACw/inAx6kgAKJKFr0BQiAKSH3B5KeIb7KrOLKkZuArku IvPzNemn6eLAe8PrDKiDa6r3WJXlxfdTr9Mb8XE65RKlVycm+JMpsnLrCclWouKuY/ytgVxOr97Z BXNBmdbw1OrZy1+WY+vDhAK9AZxLMjPYyAw9vz+7liZhkqRzDckczikiJ8P4uT2yHh9TLUrn/pL8 QRzp7+U7emIZTmHyKh8GIc55MsYn2C1loQGlDJsCVRunqL1ihJN6IU44j7I1oGhjFJ7dUOoLodT/ qLEuhhZTK10X6g+dSZJgwsphbpvTFsVYTeMZ5fJttqa/TahLdfW+m2hW/uLRiH9y9DXLTDxILfYB Z59Bxh8Z2AwsuIqxdvIexLx+4vo8F+DVoylZlbsf98EZgOkw0wSfFWswiLAP1mTbBibe1ai4bjS3 VWgGVVCP09p+jgxsIu2A9s0FGW82qK67o0mNDdrqZJmEBoMOrnNeuATQ/Pg4V38PzQ2HgUrmWnjl GdqYGHmb/zAheNDWWZ9NOE9uihliA02FwAUZd/VirYvC8M54WMi8HBB6UQ3kV3N/LZTFc77joSRK 0NjCJeJ7mulVa9z6Z/ZebqsPYJ8q8/dglabNG8oK+IZe6vkEbPbNWy+MN8g36YRTqjx06RdLPoKa 9qKh/sGkeekb03QQE44jTbs7NsVDzGMZTe/yvMjBgmWqrOdlkjsgt8G4ZQf6J+GimtDqp3VPn4o7 +kdxT78ZKn24PdC3Zkc6vy6DTQYNR/UbajowZslAI/XAFr7V/j+BR0mEYinUA2ET/pSCvjkEfTWZ VjyO/LvTH8Cii2ZWxqxTL228oq6ICU2na5NiqamYElwYFuBe4yYdjtKfPxMBKAuapVut2fhGdN19 ajX7WacW6O1eVrFYz/JNhYIe2vzeULbhSzgUdHQs33nFBrqVq0/4B/FZbOwXEhG7SiJ+q+YXJ80c PaPz9k7TgQ1bDFptvKVpXSSYg/8uc24SyhYTA123zGsY8s+AfHsqAdsiZYhrj21hu9bPOtNFBehT iieKvfWV7V59L6dRzAleh6rpY9Q75la7qbdDqUUzzgJeM3fKJdB1DVgQMqOdAR8xbKHwHLhudoSf SBOxXMmmXKGUcTVZlOtuQQMB62Jhx4JOklpdPvdTgmT7h2RGcDWQX+IQgtpWbj043yGHqqvsRn4M NDxRrGwAvAaAssXm0tt4mpW6eEFvdbV+OxT6Qd3XD8QDfY+e6LPhsT4W9/UPzeJspA+bSN9igOVh jy2uMLVZhZGfoAzbPAmW8XAPPHAgMQyfc27s2e/WvO7kKBRmkJNNPIhSUbl1sabJuIIn4jjg4bi8 nnqFxvacYbwctpFtecHO2TO67nmx7KwbGcUpPOdm+kmWiwI+1hEDjWKxvKdXlYdrlm0v95g8675g LHRKebTVoK7T9qAn5ditaD0xy+JVpan6U2DGskIFxG6CD0DX4WZnIFu322WETVYF9cysdUNUzrCk yUUF2zHNpRILl2dmG/bMdmR7CRN3piuqMInYJD+6sqzlkOg0Rq3wmnu9/jeK0Pdc1C4QcN4yoJux /q13c96F9ZbUBIbLSpDGjRVQgYwZjh/0yQh8jt7tV10THBHRI9i6OqYJn4FvNvmXROvZfO5JPbN/ cfrvx2ggGOJclDA24fIXyl6yKNXxiXK7iSmIdQQAukpRavZNUpcJ11IlbchrSwJNceK4HdEJum0o 9L8Zw+tQfzk+MjAeR3kJPfkQ9EV6Ft15jQwpDeG6L7uRoEHXCZWIt1K56Lgnyr0CIjMll50TGSka 7ChVuDytk9fJrMmCo8quddmXBUPXee7KOi6X2azgum1lplZrLs1JXcE2DFQitONW5xZ8e735t7fs Gy6XrUHK5a65i+O6UyUCucGvunOp2V5sCSSX1DWdAWur/IryApK8G7M2SBbF2wlnh+7/nspim9D1 umP0hIRrhZxzBDpiIoa8ZyiaXrEACaC77m4lcv+ivl2ed5Yp48dAkPUy1Z/nHGS7Bdfncx+KB6YG 2mjEgWz7TkvjF2Vi+oWeuSs3Djh0GYA26ABFOgle/uPY5UjcoiHFzuTlm0nLtPdNUyrwYpFRRRrn TIiOTEa2f0YNBpCQ8J4+bw4KaF1X+fWkOjFAdRtfyN2R/YPTf3vESdI48NL6A+811713MiqvORgP jJGZc2BkOddfB8pwUo+6Ntlj/apa/ZTum7Z5f/WZud02nYRC78hL7ZnvHCk8vRxec3p95+1a+W49 uJVc22Tw6n/QP8geuPnis3ILXqMkB01f7cgkgL3fmICloux3xY3T8DBPulytgL7qObXNgQ8zEKEr CKQMW8gS3/6yb3mZZA3Byqg53Cd/jqaTWtUIKaRdD0CJNkPrxChW+GtbL9bLdMj9VYG5q/+59fFs IEJC8GBuMBE61c0byrOXT5zJ9DpgTE7zDET8vhQvqe7I3JjuXU0BtdST+mtS9nh9cz0DMEwSkzio Kxzf50hy/+dZoc/pgi5rrPeEqT4Qp9ZIpXexcBAGTFwvBGHj2XbsUh09MNDuF9o7PNRoa5cnUFLw VHPB08/siQ50NEHhARJnMhWlVLWJnZcUs99p9J2JI7W3PMhkOOzcxx3XWoE+gUXrp1tkS4NxusnS jJR1TBURnwUcWatrD9wGidIl9S9Mr7pDy53G9+pxsK99wfQr2AVdg9Lcjg2ZVegzcaRviFO9BMo8 YOpFcE87XQacoVBslzFe66UqZplJkp02uEj/E2a/dOgAVb96pmNlHMgY1E7pwex5xoNH4hmXAjwX o/KqUUwIUmbucQLXnrdrWb8R0CsBZUA/AkLB5LOZFhqXmJOAOOcePTKnHWMiGNCzVAE42LBT2YC0 7iUgyqjQakTbZnZb2JXgKAIS3o6DtGPEKqt7aIIFPMNk2ZhmwJssaU8gMJkxcfd3hsoI9P161VkP WpHpdtxbK/H9PBZPfvFxk6bNdF+VPhtH+ogavUONaXC/LwUv4gfUnU0ibbz8NBInqMAt6EDRMH2o pqtUaH4x1i+ftGVyMwsDhCLahYEFGB50rJAltuzLaTlNTWmwLNTjetjOgdw+3n2arNUb+wOUeMe5 X1y9JvZCuV67yZ0ErIsoVV0M0X7UHkZkdqPqznU2OSTTFTc/Rzc8/eFQ6KPxopkBfLcO9G3xUB8N OzqKQd+kB7rY8eiTcYysAQoMBKkS4weK4N0fu084yb6MN27aYw4gXI5hxotPlCDzUDQKUJ/pz7Mz 0OhtRIqPQI68y9hEHE/K7eyxfY6l6vtoyzcGOR+evfnz97vpUGCFUoz/UYQvxyQeGGA3mrM5G+qy ZtaOGa2Zhppt565TZd+fSNJsRY3BzjnP+eZHpQAh25RRl2g70Sq7k5VfHvTIkKlKkuglQpHdfWXB eYee9c8/x/tpgJHvrKgQ24+DabNh3NsTrFj2TjwJrX4wHujlONUbKgzB/MVQ2e79b9SaOD2SE98R drWzJeAQzLL2gpcNg1LDhN5amoSUEYvo2+XV97qOauy5cdqhfnfRQHaqaftw5i7jL9IiWcgHCNRG R1KXmtu8TKbauDwVm6sNbFreYHc9eu9v0etxSy5WG4MO2Bvz0VYErlmd28u2GPCNmtJL7AJ+TTr0 pisOibW8YNf+r5n0x65+SyP9Uhzp8+FAH49jvT9M9B4dqjSmANkPEjyoeE7VsVm09Kicd9nfEDaA 0az5Td+PvhagTcixHoyNGN1VCgl1btO3ZdPX1EsiGBdFnl4oMsapjeB7DaPjFuWOu4UDQsaE1i3F CL7oOa3CamRyzz9HQ1hRN4S4XKZ3hqB3JUWA0woBPs0yc8/2vmVKZnjatSqG2CYrDUYqsyvJ+NQd n+r24Zym1X+nOW0jUc7mRW8pQQFmO8RysAp2jaFiAfs5rm/nzkxPDJs3/6Xc90eqGyaCV9dAJXLT rp+23Hvku7vB5JKZ8IUF817beIAQxdqC7tk33B3EXpyPE30wHunP4TKiYH0RhOO/plJfUanf0o4+ HypdCGN95zEIWBrlq3xDXgNOhEDGQ7zt4iY8Uw7nCm+/ub5WsFyazISLPncC9t+dgk/f3GRiSE/N 2OhRdQ3lg58laCIDbR3QBQ/DzS8ThOsn894Oet/0qGoZReWXcTJRZy8NLw/zyZsn2PEJrBb4ZpnL 3AUHw0zIu0qfQ5b1LtQZlelfaV+/R9YWG31nfKirvfCcDU1Afc+BnTYltXPsHx4CIsz8uY2VnyfX yU0nXBK5mU0Q7acowSDGG9nVA5MpIJhQXjTtqeX7eFLWAf1AVCpgQlgGaLsQmSa/c9f02Pvj7dcn DJc20XfHR7oXCn1NI/22MDdwP8YPYGOW1EyfxzLFEBPbe+BUNQj6ZCOtl4F9sMrD1QWXZlQ2Wlx1 VhRQU9AK9JdGs96VYeOKS65o2j2yHi34RRQ489yNMuxzm4cpuM+lkobLSuiQhCKHwQ9RTD1Iag2r 7R6CThkvWdACWmNwn0gP8by1h+btFErXQ03xMMBAo6ttCnkSH4jTruIdOtLldBLszTfV2Nd36lCf 0Vi/EC7qEYjhY3o9JuqfEYlXdwMzoRw4zm5bria6WmJZQ9KAjQSPZMUNHadzqob/Pw1gz54y6DxW +ZVqp2MV5hWXqW5vKzdwmyPWt71Y1nvi92WP5y84YM5WNqFDWP+fhx29Jz7SH7rr38wRBFTKCwFn EH9xlnPT3pbbm/FL2V+kj7GI+q+Sw/VLIdenKPXCVB9sx6rIM3roRj8nsCDkkDr6eP05unXVEP81 p7Gwny4e3/y6WKarysizrpPvTiZcmyxdm8HB2849bVvXlkqOQWuvL32+ZM+1ePzcX8dVtdaTWww9 H49RPLcMIg4iKhKV3jB3llK/ph19WWONQ6Fv0tkvzySA3MAs6I/bAzYTbQtaYN3CpcVghVCjUad4 LjcpdyxWAu55MJbiZU1bn5hjM1aESy4bk2SQMTuhN0oDfWift8AH1gVTa3D9+bkNH0AVsF/00da9 o1RORbysxp6lTEW4mBKJbNHowgxsYCEwhb6ryPFGvveMke4vaSp43MtrqkxvhEJHYaTvCPmxjGtH JQ96IZY6OjIdNHsPb3iWxWc4lKFXNsjcuaSjaY2i47rdBf7YRUNPm1wgsAnrFyQB020locmBJHxa esF9ksPrlOnNsGMC+/+J7uh2LPSqRrqtQh8zR5CKNqrt+C9grRUycykB07Q7cwNp1oBfHZKwLJHs ZqEHuhx29CNMlEzq+ZIawJiGnPapzfzi0+dLWBijfbi+lpemx69Fa6seUzM/JlgEZFdZcbiaKWT0 LXGkYcJ4PjWF102XJ066XhK8my9e4MVdmu3q07HVv6dDM199QY3eG6dmBIXZ6j8IF3VHlcgHzn60 TibxRE2EWXC45LhjRCHv4RWUgXMunQkYgk/cFKwSZg79TUCdC8qtDGSyXVW6bpldX1665BJ8Sig/ 3Av6VOikX125Zt5Lo61ywVVjTRF3SKgG5Erb5trazQWPTB4vqp5+mrlYGjPBpCfXD9ySzhYGHfHS SoB7llV8RZW+Fkqz5SF/YfH4YJ74GzqnC9rRh61Nu32Bap3U9F7cq80Q7bpgomZnlRoS7RH17wdd njVQusDU14J29Xz1mlHe8+J4jGpqWCgC6uaH2rmSpPf5TA2y/3xa2a+r0JXY6Nutb8d6rNuh0NdV 2PV7LVb6gknCosBI9lXo+0Omb+eo42IwHJylgSCHAwoHI95RG+6bC1E3cN6psiueCSZtojRrtoY9 +lqk7cBOHAUOj+zkihbeE3Qj16FUia9mo+Bcr0RLidrWzJsxq1+3HESKW9GsNF74/ezoA3uuNDXF xgOnYrSW+kV+O4aBIJQlMstwz3I51Ys+012jsK2YmBgUZmyQhD5YmbgePSAD/G1iTfjiZ31KV60H z+bzko12QN3ctyA4dx4nYyWAnTOWwjrCu+nPG+SmXvFTJOCA60Jmat2yoLUWykHLBOrRkuS2WaaR /ZFcELTcVftZV/GbhmGW/n3R+GSEjnib9LGwp/thTz8Rcmv8burD9ABIVyS4YqUAFyUXQv7YZj9d C9RfwHlTGNyUwScIq0bQ7WVKMmeG069K0vaLywGT9r38dCLTnmQBUYgBkre7sViWYnVWaxnWGypV BdmgAit4PNyuxUbX5EGMjsGdgNNypd+JO/oo10Q7elfAE86pMExbehE+P0bAtsOHhrT/iTqClekY PVCNJb32VcRkocZ0rdi8KXj/7mk87XosXZpcJpcffxncbs0zafpfEKYXrz0TSZ6BTXg4xvxqL1s5 QpboAGbvyXnszQ1vNfs8SR+1AnGqF2juLmUrXw6V3lKlD8mz2c3LhwU9q2Db6vt7QGXoZ+I5iI7+ 4jlxwOiWXZoHK6O+oNMGCfiisu6SOvpXVv4uqVKQ5DDlXcqMNh97Y2VgXiwFQYNIcHxlgtescg6Z 1ncNwFOfTvtHcvzc102Z7pqjsHKUrWNeGi8v+3zkoQnakeb+07th96t4dyg9EwiVPq0dfU47BkpU KPUXQmnKAJt2Xhpt3nzzyMluXsQrXo4YX+3kaaBnMzR9yQb47CeWboJdonwaxXfMsD6I9btPmfPO cP9w/7LV8bxTcJqnuzjFjopUBvnE0KdgPLwlASqM9ShE/aIu6WVN9Z44MffcixZOOruOL8TGyhaU Or+msXVjyFYJwD51RIf9yCgRBGd2R+R6h9dl0txRXs7xbSFvU+CCGX8u3QMe+OMVK3qlSOfzbd7x 3NEIzA4qEo050rSh/11jdw3KXkjUqEeGlfNMwr0YLei0pYpqtRxwMwqytkwZihYmA4OTCyR5p4nx +4HSDDNNwuLHY6fryZll+Uw/b322Uu/cYszp5wboEi/kRyoAACAASURBVKgAGy7Pqbtfr6OLmXKs 9atw826VwQyhVwVHIBs22AlWTkD2bCwZ6WaYPdSq8hs2SUSM0rFaLgHtd5WmuHNvl++VvxOOTPfF daPxTra0KHls1mLxntTyFDj3cHlxvkAWpkiUZ+5DiOlJES48BfeP+02zdFv17W2UVUnup1sFjfZD 5fp17euWdnU5jO0VfRn8j1F1h8tf2n7npRkNjcB7FKlBe2oRPd8x+EyCAcGoxRyI5nbhYAJ2Wxqd BWkzvMR2363otaMyJ5UuTByvNcb4YPw66wltT8dPstzSqvfq2xXq3z8t6SMx6vfjjr6gTv9vwHFw qnfrSK9oYlCRPnjRoG9V6GVDmiV6TrIw4vxNIqY7TH2CYqn5TTAmGMFB7I+HqEfwvKsJ4mndeetv HIeL4Xeh/22wEaR5Vko9zfouJthouvTz3zVFAA+cFYYP9LYw4CBMm9v1gQUvN+OtDWm/XAZ4sHBa kzfkeVkpeZxcb76V1qBGInn+9PVeTW9GFE5z/V4c6wXVOp82CGcFjHQzlHr5uDE/pQzZDlpbLYh9 gsV4NiDwjdCvi/fYjiyDZxGkCFZumErAQwbnwiBYEegPTDOKyacde3iopkWFguY5m/29JChYpQGL X8+VwE4m1aJG2pq3YZaqFZdifkGThn7hopkvgOamuWeN/2qNsYirg+yoCFdcpy6iRX89ZeGn9S84 b9QeOL+2nTDdtWs/8DLAT1EXz4wIXXyfMv3rsK/XYqtrIdNPhUzftSWrsocJ5dDCb0bTvKECTIjx xE7fN+DGs4vV8bUkp9Jb+QyZ6IQhspDOfk/BbrWyaGLRYE59EUtz/c+4QWe9uL3v54uHOqDAmevz KvWpONKrcVefIJMJgHCP9A5N9KoKVaHUxTUvEy+JO6KspsxkGOPy5WRlT9nuEjnzaxPtxYDqkXVJ BWGj+gVlyhMjQhsqvj4w5xofo6+ScYFAOOaMl5V7wwtCVkcVW6oaMB8IOljdU7CZblLzwB7S5Zew aSCqA2LElXikvLuQGAcELl7eUnm1qlXJGRG+PhxyfSbu6++FHV2V49A+FA+NkP1VjfTvKN/qHE22 YgOPAFEeeoWXs+a5SQyZerZjRg7I7ljOTNBoFhvsQBmaXEVxXmVxeZZZEWDq7o25qmw6eh+woBB6 RZOaKiLMzFrnmv3L9+rAvCft+a+7pNjQB61Co+IlTZqvJ7A2WbdPXg0flyGo16xtyZiCStize0gr YVm2+aTLnttw2dgs/ZCFNKIVDXwqhsxMMWApnBXHs/jLIejDCrpPU24DdsX0snqKgPGL5jcDbZzJ 9C3l4xdPdFCOFPccsr9RNIcDaeyGHzdFRiuZNtfYZuxKq9U+pzd28BT/eRNieSXfmb7+Ugg6NGwQ JUqpP4hjfYoQH6N+QLlQ4z7typMVVV2fM1gGQcP7Xv31cPS6O0lvPldr1rb31SdwIXukSftERXfd JG+ArvQlJRtDFq5r2uKUjXpAM/hdbBqbxzCM3Hfyq2t7njZhy9xtOZi35S1N2gfK2/PJKXwzpYrD /m8xywhMYgv9dqz0+3FXvx46VaoFweU9Cqkrux1Z70a3i5uit+ZA3WM9x/lfTtM13LkXHaKttKou qcp5Gd1pyiWN3lJerqLSS4Op+POOietQV27d4rM8W/VhRNfe1ZNJo93R9ZSBu6PQqECK+ZZJJzNJ 7lq0+XODUNRtHxSHGXuCBNFKKbYHKsfc9bCNsAXsfUFF7CMHva1KNXJKoOmK62f6/tkRkxvd2Nbg M5NOgJjrbb1R+zx+eTlp6prIwOQ7MxlVLh7se/XiZcnowIGazswnbd8Gx7R+0xmrG55mGagu3VSO 4n3p68cDMNZCrwfPGU7S8h8CWofa7AgEFvHlZGxxLwUu8DnYozlrfvuLejjDlPWLTKDtXlNTn0vZ lrtHzzmixeJ1j2Rd5zS1AYijyk/aqSQ7R81jMUPs5XVva9I8UB4ua1R6xrJ8/H22xquPK/EPpc3h tyV9MpaGdv/gMcdAdkVjmnbDptVn9GyQJj9dp9IqlTlMNSlzTAPKEOxcW6AFtcr8itr4xmKZlkvT lj972TXgTtDoR/6ZUtIHEKnvmN3VUd1qVN6YkajJ9sblDR1NsbZ/y1R0TQSAiSkyNW2eylWgEAhE PknwCHqRxdZgdVQDBAUXuRj01l+zGU7C5cUN9Dt32z6LteD8vG7Rx2CcruyhOW0sr7YpVIaXNBpt 7/573+vQ+UyBh7aVuouGYuaCG+M/7CUtHn6AnZ50/LzG5b7y6uxh/me5jB+GSwqaXeYezZ/24ctD 7TcsfLdvu+sUIg1f0xwuiruVe+uNLZAbwfop9V+27WSWJWO0aS/qErE9QynysY6aJ6b/QMDgQTMb JwiwCdjZ8xDfKM5ZkNhV1LcoGB2GELcU2pZ+P4DCB4ooV6z5e89uyOKmG/puj0xdwJrwBmfxq0OI xqTz+064izs5nvPc8j0d7uCdVPo9IqOk/+gobrBsZFZX7BrZvQfl3VK6NSb1Q50S88EUzoLWxDKh nXDTMHTblmG9Wkw5/FaZ5hdaUAVH/UhH9USj/KW0QXumhh57ViMldHd2DVGNaMh0GoIY7uT3k5oE vpAHqooba9HxXO+j2pVSO3pu3a5LkG97vhJRrlc24T6dxlPypKtYj+T1etuUoIjMVgIuHyySdRc1 qvaPtwNqwa5AYxhgbazEfGRGny5edlFtO9YY6eNycx/mj+NiOnbU/KH3eAi2puw5niH8+xvnO5wL DlJikGUOQZUuSPhEk+4PDQhr8lo1XL1vWasQWpXoIc2llrctM6mlf9K0ChlTrzUIsKJTXYMXp7w+ lzA2c2wb/ZzH2tf/p6if7XxSylTulZDre0JmE+UeXb4cis0zwDL0zWU94QfayfBcCDA458T8DR21 QR22Z3Zdgc2gDHEM+nfF4zKpfWxYbVNpnL+ifGf+DDqtpTRGRaHLBt/pM4fOfBQpmeEHcsvuKbbn TOq5qJa8CbOHmjaVcfc2ZSwMX5r4cNawbxGzbBqNRvMgh4rupP2KuvolleX+bGvE1m1C0CJ4AjUw eaapps0tRYJWAa80ZYnZQ02aqWvEp2fIzqerdVh/VZn1qKOYMU2buxqXPNfrA62RtNGtj7UNB07C b3zaZYqjpmeFUWmHBAplxsQAirgw5zliXocKS4hmlwm+r7a9vF4apeEk4E09XGusAEOdRmeMPh1x u/fNJpd/XJfjUZCEdlyPD9/5gr5xxygN9RG8MG4+3nKUQM7bx60GZ5uhSYT39djN/FJkBY7MlCbr d6vTPBj0pfLsRU2b86qbW8qL1WyG+24IdfhrJmniwNEO12Gd0/1iV2+o0/frkf6zeE+fC5U+Fnf1 S3FXP6cKISF9T8j1LSFYALPOBtcI6ob5Em64jlZm+aRw4c8N7MH0NJjacWYvMnzOe2qaTBFZFGH4 sW/nt63csucMnJS+wdRhwe2R8efcjz4oI5eSep+z61bsqJkiA4yN1XyaZ9NdnmGe8X56S28sPJDq QvU0U1kNyt8Mtc5pwvKtP0beQXpXBApvoHeqqjWN8xx366+pmVy2/mZ/TAw+pg0czdt+naA/AXMu eAaHPTuwRwTH1xTra8bX5Dk+nH5JxeCYXSZt+zPGRNe8Qwuux2PVE56z86qYbJ5hlmUDuYPJl703 lTFtQuXIDpOxhE0FMUuIOaxt+k5zgnFHbZzdWAlWdU3mRKB6pACwbYNVu8H4rUn5cCB6/ycrWA3p Gqs9kSRAyEtm8s5o5s9djm1l02QSQfaTlCySwukcnnF68wSXJXnksj+F9y/6RTDkpSu6HR3VOAnP Sxf4hwZyDEx9EALk/jHw8OwKmMGbmGPGqT6oqW6qNqDsd+tQB7qnz4SRPquRPh/H+pW4o28LI/3N ELTXTpOa17bsisxpVc3DwcNHG64tFlVuFTZlUzX54e19zH5zdPiNQxOmNRIxvHSPbWK5CgXAFu3q Im/QgjAYrbsLuuj+PVF5WaueYl2XGTncXW/OaVzc2KrBZrIucF7ru+5yvmVoNJ1MVBS3dVi3GhfQ arzXxv3FLQn3JsxJyNaHwWp4Hf14/edMDSG7qqbGUYpqgYO+aG7W6zBdfQvDbOqYttqx8sxQQbDV rGPRPtsqcjKntS4kU2XWIEWbaV8FSF3r/FMAn9dOcXXlJDCJjOGWAo63W1J/U4AxG6dLayH/f7IW N3pktAanqrTWZO2fMR5UXgLrBS25+/r3kC08UGgqFaDVEcRrSpv2kKXaODy+vnqPDHwJoHBfVQlX sxz0inj5EH1rdTh9nOyWdpcwZZV2s5uqGyaPt5RhQdXtKS/HSYd/TyF7SU0DL/DA3Y+ysW6lsuq9 xjZ1Kb+eFvPdsdWHdGhX4W+F6zpK8E5+1yi8NFPN7C3EZqeCAgFZ0nJ2ZSVy7ce2cfE93p+DQhVL J9xub2wPnZ/yREfBDuxqym5Xf3YFngHkoMOYodniTQgl5YKa9qsK8aJ2SiZ82/WrHCoAQ6QwLays 6EUTF1ddU95hXMJnPdAReEjzW3B4kfkp4DNgCgo8e2t8PSE8Q5tJwyqD0FRX1HUEvPtWbiNxtI2t 4pUZDk/Dc0pg2i1+pU+7io0ZkGmkT70cwZ8vhyvIdGFPRQXgMF+58IDPppbtdpvhCW1lfQpSV9fg /qOXt32WNeslGWUoaabbxAjZFP491ajYddKpUYqWro3hZyiPySKAY4y1P37Fgs1RuCvlgAwBWi6v dN+Yrg6MNW0KGx+4OqtJzByohj82vWD9haHxhfUOi33lcaRpfdegDf3D6cx8HrorKiNZmpupTmI0 fuQ/0QV9PZT6gCb6xui8vioFL/A3EMF/hhH+LECOE6/xvI6mX7fsoSggVTsHj6HLaqDwDKhrRzZJ HKpRDBcBKy9o9D5UHR9rOi1dIjo7Z2Ybx0kozxVrT/Yseh8SXavN9vJdV2lc3nRwbfdO72Va3+r4 bLnfMFjAWPg9w/PuTIpDKkqyb/sTq2igxZXyLNMCpqm/3rSKxzi+A76fu1ddsM3OALIG6H1ihr8E vVF2NenObWNDMEc9WiGCG/ZxTaZ6Fms1BNpUwnc9JgOOfYLfNtZOdWPWY1m3bGTbspOz67RrAhUP EJOe4x8ibgrgQxx0naryx7dcnBlUpJcdIGYEBGq0CmwxQLkD+tzA1DcZZXZSlyOhuUnws+CRRtSb 11zG0CSXTafgyUCqmp9FFQGU+qHyFjXQeellkrwBUb912YV7KObpXnF234WFWqj0aiz0ce3qX8RG lwIZ15FlXa+oNh21Q1X6rmRQnz7JqC9o3Vs/DveeBhWJQtUGSIrxREuoOy97v6hjJO9UJno4nAJa aDPF1N6wF6gHwpGAQWsgMZglnI2Tt0FzOjJF+lYb7icwk3B99vtc+vh0z+8syw1IIt1JfbJgZRpK u2W1NLVLqgvT5k0DKfVacrlp719V3TI0uGf6XbAmAHSCvHf5IWcftKK8pPJxxdjj4BdGnYtUYUOT Y0Qix8+tciqstiagmNIjfQQ0nkfKSkb0TAb8Yd1mxdQvLhCTKF4Mmcehp4aULRaoet7WNnBj11pf y0sHENP46L3wJyoTmwewIa6K2t5R+Ks/4H0ayp95TzAh9U+x3Gx2TUPXDD2cn9cAHamfqEJFY/AC n0TbvpckvqxMj0MGgUpf10ifU6c3tKdPmjJro6MovTtzxPnwrnn26drkuY29aS84P3GbzRcBM6Mv lIEBu5CwVGSvqEHcVz7DHvU/wz+TkxLE7EgGQXP+2QMWfSs8Ka1/tmZZMIgXbHo3P56n22xd351A fs3Q5C2uVN2eRsW+2u6W9ZwXfrdtbKubjk2Iw0XD1KHyYO8p3oh9G0EuVZOVBDMwYBO1NbHgfHpv 198b3zwWsz+8H5CUeh6QBlYRuisqyHgKt3YyHXBDtiMM59OprXZZyysGNUjuIG7PrsboOYxOEKia FOUhdDKS9bEs2Jym7TV1/vhmWduWNSAREuRmZmQBTnMZ/j09Ka75MGBRRrXtNg4WiglcF0+UyVpp muM4jdSIc/rmy7OPI0XDNbXazWFEnm5xdD1xhv7Ue4L0rcpNi+ot5LUVdStEy8SWcyYAw5QPMykZ 1BiyvRPxTz2LcgsyM/nIuDZjtcWBsm0mq8Y5nevoP+uyZxkEGuYhS5IqNiDpgJocbwpx0uXO3Fyf C6qnQCfIvPEHuGro9wUKEJmNDU3WkZ4LB4vau+hVgP2IAbqTF8PsGUHNwd2h2vqRV0ZJLWVYhlsb Y2C64Uk9SsEnk8d+mlVgHmGpegf5lnICvzqanMhq4LrSnYi46Bo97ilIkxTEcgH62nbxbRSE2kBy yOTiumOgt3lyYi84gNPeJfpP4nLpncuGEDcZ4pRx9TQJL70WXyob4RY7ynFg3rSSY9AwC+bh5v/b buw4qvA40VCGC6WB8bOfV1Kpv5m+3mdIc3TupatrsiuOx5yVZsEasvFxDfL1i+A87QDrDty81y4y fF62s3l2nHd5xTMe6wv5pmC3tKvMjOXMpYETSyEzeFCnNtx2UnyHh8KhYbYQyjChzFRGrluuq7U8 2HBliRU9qz5w8X5ia2cO1MOkwdVR0CyjmnJEfpF6h2cvjeyA6omKviyYNjRr77tNdi8P0oEBopk8 l3pdXm5l/cgcORihWrpfYAGUMqStwQockguikVGtvc7JLoxMIzxHQNrzXBZ8Bq4vLqUztCBdr8vk Xo5zUKkj4GOSJ/Y+IQ+cqzTMHyZS/d4OvolkIgM/OyOFYyN+9ornnMHl9LW8PGN3kq6dDyqx5rry dIHTy0vkq+kRbvgeQ6W72eqzLCc1P3RdNoxbs5HTXciaTfPfNaice/hsv2ujukR3MMAzPk6UAloA ZEpg2DBt6YdhSz/vjsFrSda+kohiCjwLf5NB8k5u3WHZpOKCuoi/gGM4Xcttc3n/LMttyt6apyx+ Mr3BZv+H9KGYFCKgN9yheHlcspeMjItJPTufWvBePLFJWc9GX7usf9ZYI3DbIkNgd/bd7e3wRHm+ a46tOZ1eWB1xcKbfxe7msAb6DzhsO/F5/rDOsi1Tq6iMP2f9Iwqk4NSbt3NNzfgWm7NedgRcF+2C /BmyVmQTR2oalBZcBXTRIelssivnvyKLjLIr1xHRxD0LuDzfGEdwL4ca7me5nAlyzibN8EdnQ4Yk uRzk0kLrfBcsMzE/womX39liBua4tH1lXbBr2BF4lgIXelnLdmI+FMBnEXL4rpmUmELdqeWlTrq8 zzu7kzn0g4iwPQ9Vf1AEHhw76K0Ujry1Ub1PaxwV3yiD0jHBfHV+Upw0UdfcPDZA+rnAYLwQbjvO F9PoLFunZX/6FztZnjBMYaE/hlwJu+jqy2/QEetdjM3sll35pJ6BZ7koE5B2jgmQ6pIyz+ZpB9ao i3tmCd+bVvh/p/KHCfMWQvhJFpMwKo9oGWqXeju4QD1xU1zK2nD+uXHn5v0nV24FqGpT4J77FDp3 wjan81XCuJu2Emwp7wB04iA1z8Tc6MJ9Cc2lCDFFE8gke4VYT7BkyrmZacGU+fn7E/oGPw9YeWWI a7OJGoL6cNWIRzNVSAeiHS6B/4xEtfCz7HaM2LuOKcOqnTXLlBOzsZpm7ML4y8s+k3TXOXOnav7/ KVu2c7OhmBnbUM0hGZ1uRZEnk1qTe56rHjzL6hUKDH5hVvUbeGYmdU3ZuqeO8rQDYkqPk+zq2bM8 4wXwLNqUMDeYg5O0901g7rTO3lrTd4PC03MgPVAQFKHQ4KUISR/i/v6ZTCE3LctoinNSS38S3h7Y PN6IKwkou5rZmWovwdYA4GTjGGiYzdTKtenbFpHz6facpoeXoTzwPy/7+V5q2cQQqaDMTdwlqObm JywXSRiUhF4H02gfipVRepizbSo/vKm+ij9Bgwd0tmN5UgCzxr2bI2zKlInseXbBysfhNemVAbwH QfPexcH+bV1uuIGKxar3o8vPbldVdYnnZi3v8+nt2ZFQPlQWccehJGWXd8XUfgc30jPfYxbz3EsX /TurbKT3w/SAwqAiV2zp51x65t6VaVJFStn1U0hvnxzadY0tJeHzzVx5I5jAIQ8OHivgG7hGJHGR NjP3u/RgixQ1NlwQuel9LpZwfeAiY2o79xHtp9DPaxkDgpIVBdaEC3MpmXOqMh/4uUndIMNicfAt 6oENvK/+pIltUys7rI7F/8zMHhYXD8rkCBoFkQqIhNu0+xh1OxWhiHuaNCObuLhW+1gZI1qbejhV 5M+WG5quW+5x2B7ToE6a6aaI8Ow4GdvIbPMCpU+Px2eGpk2OFruN/wGKMknDhdtNOL33s2vOQGfR 7vFmfj8xdV1s5HaOe+5Odo5Qnyhl4UKuEvj9m3wjARr0dqxophj06yrbyDdhpFgWsLuLnmXB5eyN TjJknO6qaxuV8fJaWMl8UPR8l/fjEAUA8gKuy0niIihjM9IP/JJhyErAUjMyw4GZu7JpJYGFOjRd JreZSjX00oLbxO6WQYnIzic6xvEvBqkpIv6xu28oWVOKKOe+bn+20s2127UOeEqG1W3NhlBL6MI9 dW2lLlxUTgmzxnTz5DIt0Ix8pO9EZB41msBMjGhUV0ZPCdmBjRY84XpiKglN3DWsUiH6WNus1pDl btPwZtH6rF9QjWKEBwhFCeR1a+qezzJaJwja1Sar764k70fAGqvUKrw3oZphz/68V2eKsQ/UirZM sGEL8tybyl4zhUEyssuS7jq4qf69xkyDshYO59sTbNctBnreSloieZshr3/NdeMGJaF9j7G1910V Munx9HpPNHx9GrGvw+beemkSNJyafVOuPE3vwJqKxQWzZzd9nz8LVBuuE64wa1bo3YZW+1O9rTo6 /KDFUXVFegTSaqlLNmw5bbYF0NBxQev/3iR00GE6OlJlsji9UqerzuYF9lCtQV+Q1nWV09VMwY0t 7ps0N0qelAg9ybtfRbGrPO4kysyBFGsLbk+blVPemWilkZeZMI5MrK+xhjTQBnf1ce0zSNvIMD2f 6eBwubnF4+RF6HSspruVSrveFn71GAx+YCj30uSpnQjdm+oSrN7+AczC5LsBEjWYHs//Nm3CQyuy pQyLZdMko6wOmuBGcWAKg/gbDG/oEShdDn85+2R1mkn9yk4JhuPPVo/T6ku89LKby8xI7Rors1km glHq4EW1rmN3mFQFhrLEnalJmmSQrmpUYXR68hfOYBWM0wEW0yPZwKnDTQZXGEjfDG9oNbjUCdAD 5IvuqsZB2izN+yZ8GEy4/AVFI72Nb6prpubgvfxyzh2NntWZBWdwmtS4i3eadg+Mc2ckamSWAOPi TdgBgEU5lUwOzafn2+PpwZ0NlvQDZDs9tDa+pa6JGicu6GbK3L7JJdctuwmYKfp8V1Y2AH/ujvdr PIvFcdEjZHNbfoa8D04m35hUaM90WLnSTAtRXaQnYZpVFsxdcI6JD+kjGllHPPNwWKEjxDx5s120 svHtxvj8aVouqYJKa1JosBQesb9O4+q6ommsz9NkJ5t6urxq0Ek5BVhzzQTWSvip2uaBFC8cK9K2 8HNhZNJALUoRJoLHA9cTvd15mkEPwQXycm0SJA8kIwzPMT4uIvdYDbzABqssejJeyjE5Qt535mzM 52d3dFRPk/bTdsONp1lmtWb6Vs7HdP/H+5o2vOAvuFY52Va7ZwGEwPn8y6k4m86H3vNgsHyjmRPg ty3zkgzXrb1Dq4dBFhmlBwOa3fB4HyTbtc1QhrNd270xzevS5JqAV1xYDVgztQD6D/YD7JB07wGP OR8QnmBozvmL0O6aKmlhgerfXtjBWS1uknnRFShGzheKn1l2w8py5DRsYojzibkDuZb8Ontya9R3 7KKrky7ubZVfO/WLbzpJ5hkIVAFJbWSCSe0PDLuDvBDDkzKZqCJZEuOukWlRYY20F1IgtuPMAGTe 0aQ5VJldseDpL+hioLVeWfFIR02jCi89FAXOaHLsL+stU81c/J3AJsj+5pkIQert6vu4SgVSNmt0 sUwF5XzKrk6WJNCqcb9C4AQwTe5bSU6rxzYJvWEN7y7eGBhVPL9yFyC4WUukzM5Oy3Y8/okrev99 BFh6cutOClODeFmBGh3gJzZcg4caPMSouGHZQDn+o2vY/WlcvOCmGzVrNvZ/7qPe3dHVEz9ALgkM BQeJkjcXhfAo1bpLKke7z/RAunsz8tY76SWAG4o172I/rTfPAP5QN3fVWdnlvSD7+4wyGJdkJGd2 1khyD35ncaij6S3t5e84E+aD08uQcF4VumNIUUEoXgJGUoKTRs5gPM/ppXaK1Y5N74MF076nw6/f Mcecp6loAMSaMnCOMUWmpt6TAkJ8nq3hpNQ2qI1eT2XjMig1mU48Y+kI6NUmzJYoJhNbQLhsxktS 1fb9az9kaQdx88nUt0j17dBO/c/W2S63jloMWMYb2+oJzj3yvx5mHb2OOYFl0rymrEhyK21lCphn +6IxWaNMqrb2KrPymuqWftAdF3/rJYYjo3rG7PuaotceMHdYo4bbltopyTbPovXggosYluZLfZSu y1QG1EwWgZmm1dbeVYOfYkYpy+CgfC6ByzNUxC4rTZo3LFh7i6DUuHjpqYKVO42jRY88trcd8Khc +L0Z7YYHJu80KlGAyNc0yzE2pvJ6+qBNCwn3c/vcHn3uR7DyLLOOPVs0mgD/Gc9IExP32hlh7PRn 6/ksw6XP79vsj3uVh8U1NxFBbQP1AqdSDLWuHFPDQ4Hp5tcNpoJbijvOvP3LeYCuKw/5HWE5U5DQ nknymmxxcd0cZjp0nwb8ViaNZbipfEluaDXAn2yxEU/qN5WXa+av3b7ykt+Tr2K/dKS8BOn/po7a W1K9Z9PEoTji2S3uH0HzZR1N37TysMrf8VSChM5QSNPGNZvBwve2+0kZePn8weA9MF2wBoFE9L9o CxXPhn2bTO/YoMWkqORYPgOx5nMXrf8fS9FYhyx5PgAAAAFJREFUUTRUHIoAAAAASUVORK5CYII=