20211213 17533700 1.0 Item Description FALSE CalculateField PLSS_Section_Polygon_Joined_ROserDesk MCS_DL "Not available digitally. Please contact the Office of the Monroe County Surveyor at (812) 349-2570." VB # CalculateField PLSS_Section_Polygon_Joined_ROserDesk MCR_Note "Some records are available digitally at www.doxpop.com. For a thorough search, please visit the Office of the Monroe County Recorder at the Monroe County Courthouse, 100 W Kirkwood Ave, Bloomington, IN 47404." VB # CalculateField PLSS_Section_Polygon_Joined_ROserDesk MCP_Note "Not available digitally. Many surveys pertaining to administrative subdivisions were never recorded. Please contact the Monroe County Planning Department at (812) 349-2560." VB # CalculateField PLSS_Section_Polygon_Joined_ROserDesk MCS_LS "Monroe County Legal Surveys are not included in the survey records linked above. The legal survey books have been digitized and indexed, and are available here: https://www.co.monroe.in.us/topic/subtopic.php?topicid=272&structureid=72" VB # CalculateField PLSS_Section_Polygon_Joined_ROserDesk PLSS_Origi "Contact the Indiana State Archives" VB # CalculateField PLSS_Section_Polygon_Joined_ROserDesk MCA_PRS_DL "Not available digitally. Please contact the Office of the Monroe County Auditor at (812) 349-2510." VB # CalculateField PLSS_Section_Polygon_Joined_ROserDesk PLSS_MC_No "Not available" VB # CalculateField PLSS_Section_Polygon_Joined_ROserDesk PLSS_MC_Pl "Not available" VB # FeatureClassToFeatureClass C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp N:\Monument_Records\Monuments\GIS_PLSS_Monument_Records\PLSS_Monument_Records.gdb\PLSS_Monroe_County_Indiana PLSS_Section_Polygon_New # "CIVIL_TOWN "CIVIL_TOWN" true true false 12 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,CIVIL_TOWN,-1,-1;Sections "Sections" true true false 254 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,Sections,-1,-1;TwnRng "TwnRng" true true false 254 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,TwnRng,-1,-1;NOTE_GENRL "NOTE_GENRL" true true false 254 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,NOTE_GENRL,-1,-1;Label "Label" true true false 20 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,Label,-1,-1;MCA_PRS_DL "MCA_PRS_DL" true true false 254 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,MCA_PRS_DL,-1,-1;LabelTR "LabelTR" true true false 6 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,LabelTR,-1,-1;PRS_DL "PRS_DL" true true false 254 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,PRS_DL,-1,-1;PLSS_State "PLSS_State" true true false 254 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,PLSS_State,-1,-1;PLSS_Sta_1 "PLSS_Sta_1" true true false 254 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,PLSS_Sta_1,-1,-1;PLSS_Fed_N "PLSS_Fed_N" true true false 254 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,PLSS_Fed_N,-1,-1;PLSS_Fed_P "PLSS_Fed_P" true true false 254 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,PLSS_Fed_P,-1,-1;PLSS_MC_No "PLSS_MC_No" true true false 254 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,PLSS_MC_No,-1,-1;PLSS_MC_Pl "PLSS_MC_Pl" true true false 254 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,PLSS_MC_Pl,-1,-1;TwnAb "TwnAb" true true false 6 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,TwnAb,-1,-1;MCS_DL "MCS_DL" true true false 254 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,MCS_DL,-1,-1;MCR_Note "MCR_Note" true true false 254 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,MCR_Note,-1,-1;MCP_Note "MCP_Note" true true false 254 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,MCP_Note,-1,-1;MCS_LS "MCS_LS" true true false 254 Text 0 0 ,First,#,C:\Users\suroser\Desktop\PLSS_Section_Polygon_Joined_ROserDesk.shp,MCS_LS,-1,-1" # CalculateField "PLSS Sections\PLSS Sections" Twn !TwnRng![:+4] PYTHON_9.3 # CalculateField "PLSS Sections\PLSS Sections" Twn "!TwnRng! [:+4]" PYTHON_9.3 # CalculateField "PLSS Sections\PLSS Sections" Twn !TwnRng![:+4] PYTHON_9.3 # CalculateField "PLSS Sections\PLSS Sections" test !TwnRng![:+4] PYTHON_9.3 # CalculateField "PLSS Sections\PLSS Sections" Twn !TwnRng![:+4] PYTHON_9.3 # CalculateField "PLSS Sections\PLSS Sections" test !TwnRng![:+9] PYTHON_9.3 # CalculateField "PLSS Sections\PLSS Sections" test !TwnRng!.split("_")[1] PYTHON_9.3 # CalculateField "PLSS Sections\PLSS Sections" Rng !TwnRng!.split("_")[1] PYTHON_9.3 # CalculateField "PLSS Sections" Sections "06" VB # RemoveDomainFromField "PLSS Sections" Sections # CalculateField "PLSS Sections" MCS_LS "https://www.co.monroe.in.us/topic/subtopic.php?topicid=272&structureid=72" VB # CalculateField "PLSS Sections" MCS_DL ""The Monroe County Surveyor may have unique records for this section that are not available digitally. Please contact us at 812-349-2570 or visit our webpage to view our other digital resources." " VB # CalculateField "PLSS Sections" MCS_DL ""https://www.co.monroe.in.us/egov/images/1550178674_99736.jpg" " VB # CalculateField "PLSS Sections" MCR_Note ""https://www.co.monroe.in.us/egov/images/1550178675_70909.jpg" " VB # CalculateField "PLSS Sections" MCP_Note ""https://www.co.monroe.in.us/egov/images/1550178676_36273.jpg" " VB # CalculateField "PLSS Sections" MCS_DL "https://www.co.monroe.in.us/surveyoruniquerecords" VB # CalculateField "PLSS Sections" MCR_Note "https://www.co.monroe.in.us/recorderuniquerecords" VB # CalculateField "PLSS Sections" MCP_Note "https://www.co.monroe.in.us/planninguniquerecords" VB # CalculateField "PLSS Sections" MCS_DL "https://archive.org/download/Surveys_T10N_R01W_Washington/T10N-R01W-" PYTHON_9.3 # CalculateField "PLSS Sections" MCS_DL ""https://archive.org/download/Surveys_T10N_R01W_Washington/T10N-R01W-" + !Sections!" PYTHON_9.3 # CalculateField "PLSS Sections" MCS_DL ""https://archive.org/download/Surveys_T10N_R01W_Washington/T10N-R01W-" + !Sections! + "_0000_MCS.pdf"" PYTHON_9.3 # CalculateField "PLSS Sections" MCS_DL ""https://archive.org/download/Surveys_T10N_R01W_Washington/T10N-R01W-" + !Sections! + "_0000_MCS.pdf"" PYTHON_9.3 # CalculateField "PLSS Sections" MCS_DL ""https://archive.org/download/Surveys_T10N_R02W_BeanBlossom/T10N-R02W-" + !Sections! + "_0000_MCS.pdf"" PYTHON_9.3 # CalculateField "PLSS Sections" MCS_DL ""https://archive.org/download/Surveys_T10N_R01E_BentonNorth/T10N-R01E-" + !Sections! + "_0000_MCS.pdf"" PYTHON_9.3 # CalculateField "PLSS Sections" MCS_DL ""https://archive.org/download/Surveys_T09N_R01W_Bloomington/T09N-R01W-" + !Sections! + "_0000_MCS.pdf"" PYTHON_9.3 # CalculateField "PLSS Sections" MCS_DL ""https://archive.org/download/Surveys_T09N_R01E_BentonSouth/T09N-R01E-" + !Sections! + "_0000_MCS.pdf"" PYTHON_9.3 # CalculateField "PLSS Sections" MCS_DL ""https://archive.org/download/Surveys_T08N_R01E_SaltCreek/T08N-R01E-" + !Sections! + "_0000_MCS.pdf"" PYTHON_9.3 # CalculateField "PLSS Sections" MCS_DL ""https://archive.org/download/Surveys_T09N_R02W_Richland/T09N-R02W-" + !Sections! + "_0000_MCS.pdf"" PYTHON_9.3 # CalculateField "PLSS Sections" MCS_DL ""https://archive.org/download/Surveys_T08N_R01W_Perry/T08N-R01W-" + !Sections! + "_0000_MCS.pdf"" PYTHON_9.3 # CalculateField "PLSS Sections" MCS_DL ""https://archive.org/download/Surveys_T08N_R02W_VanBuren/T08N-R02W-" + !Sections! + "_0000_MCS.pdf"" PYTHON_9.3 # ExportFeatures DBO.PLSS_Section_Polygon "\\jarvis\Pro Projects\HoosierCharacter\HoosierCharacter.gdb\sections" # NOT_USE_ALIAS "CIVIL_TOWN "Civil Township" true true false 12 Text 0 0,First,#,DBO.PLSS_Section_Polygon,CIVIL_TOWN,0,11;Sections "Section Label" true true false 254 Text 0 0,First,#,DBO.PLSS_Section_Polygon,Sections,0,253;TwnRng "TwnRng" true true false 254 Text 0 0,First,#,DBO.PLSS_Section_Polygon,TwnRng,0,253;NOTE_GENRL "General Notes" true true false 254 Text 0 0,First,#,DBO.PLSS_Section_Polygon,NOTE_GENRL,0,253;Label "Name" true true false 20 Text 0 0,First,#,DBO.PLSS_Section_Polygon,Label,0,19;MCA_PRS_DL "County Auditor – Survey Records link:" true true false 254 Text 0 0,First,#,DBO.PLSS_Section_Polygon,MCA_PRS_DL,0,253;LabelTR "TwnRng Label" true true false 6 Text 0 0,First,#,DBO.PLSS_Section_Polygon,LabelTR,0,5;PRS_DL "1976 County Auditor Plat Maps link:" true true false 254 Text 0 0,First,#,DBO.PLSS_Section_Polygon,PRS_DL,0,253;PLSS_Sta_N "PLSS State Notes link:" true true false 254 Text 0 0,First,#,DBO.PLSS_Section_Polygon,PLSS_Sta_N,0,253;PLSS_Sta_P "PLSS State Plats link:" true true false 254 Text 0 0,First,#,DBO.PLSS_Section_Polygon,PLSS_Sta_P,0,253;PLSS_Fed_N "PLSS Federal Notes link:" true true false 254 Text 0 0,First,#,DBO.PLSS_Section_Polygon,PLSS_Fed_N,0,253;PLSS_Fed_P "PLSS Federal Plats link:" true true false 254 Text 0 0,First,#,DBO.PLSS_Section_Polygon,PLSS_Fed_P,0,253;PLSS_MC_N "PLSS County Notes link:" true true false 254 Text 0 0,First,#,DBO.PLSS_Section_Polygon,PLSS_MC_N,0,253;PLSS_MC_P "PLSS County Plats link:" true true false 254 Text 0 0,First,#,DBO.PLSS_Section_Polygon,PLSS_MC_P,0,253;TwnAb "Twn Abbreviation" true true false 6 Text 0 0,First,#,DBO.PLSS_Section_Polygon,TwnAb,0,5;MCS_DL "County Surveyor - Survey Records link:" true true false 254 Text 0 0,First,#,DBO.PLSS_Section_Polygon,MCS_DL,0,253;MCR_Note "Recorded Surveys:" true true false 254 Text 0 0,First,#,DBO.PLSS_Section_Polygon,MCR_Note,0,253;MCP_Note "County Planning - Survey Records:" true true false 254 Text 0 0,First,#,DBO.PLSS_Section_Polygon,MCP_Note,0,253;MCS_LS "Legal Surveys" true true false 254 Text 0 0,First,#,DBO.PLSS_Section_Polygon,MCS_LS,0,253;Twn "Township" true true false 4 Text 0 0,First,#,DBO.PLSS_Section_Polygon,Twn,0,3;Rng "Range" true true false 4 Text 0 0,First,#,DBO.PLSS_Section_Polygon,Rng,0,3" # FeatureToPoint sections "\\jarvis\Pro Projects\HoosierCharacter\HoosierCharacter.gdb\sections_FeatureToPoint" INSIDE ExportFeatures sections_FeatureToPoint "\\jarvis\Pro Projects\HoosierCharacter\HoosierCharacter.gdb\blm_characters" # NOT_USE_ALIAS "CIVIL_TOWN "Civil Township" true true false 12 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.CIVIL_TOWN,0,11;Sections "Section Label" true true false 254 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.Sections,0,253;TwnRng "TwnRng" true true false 254 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.TwnRng,0,253;NOTE_GENRL "General Notes" true true false 254 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.NOTE_GENRL,0,253;Label "Name" true true false 20 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.Label,0,19;MCA_PRS_DL "County Auditor – Survey Records link:" true true false 254 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.MCA_PRS_DL,0,253;LabelTR "TwnRng Label" true true false 6 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.LabelTR,0,5;PRS_DL "1976 County Auditor Plat Maps link:" true true false 254 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.PRS_DL,0,253;PLSS_Sta_N "PLSS State Notes link:" true true false 254 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.PLSS_Sta_N,0,253;PLSS_Sta_P "PLSS State Plats link:" true true false 254 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.PLSS_Sta_P,0,253;PLSS_Fed_N "PLSS Federal Notes link:" true true false 254 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.PLSS_Fed_N,0,253;PLSS_Fed_P "PLSS Federal Plats link:" true true false 254 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.PLSS_Fed_P,0,253;PLSS_MC_N "PLSS County Notes link:" true true false 254 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.PLSS_MC_N,0,253;PLSS_MC_P "PLSS County Plats link:" true true false 254 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.PLSS_MC_P,0,253;TwnAb "Twn Abbreviation" true true false 6 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.TwnAb,0,5;MCS_DL "County Surveyor - Survey Records link:" true true false 254 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.MCS_DL,0,253;MCR_Note "Recorded Surveys:" true true false 254 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.MCR_Note,0,253;MCP_Note "County Planning - Survey Records:" true true false 254 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.MCP_Note,0,253;MCS_LS "Legal Surveys" true true false 254 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.MCS_LS,0,253;Twn "Township" true true false 4 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.Twn,0,3;Rng "Range" true true false 4 Text 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.Rng,0,3;ORIG_FID "ORIG_FID" true true false 4 Long 0 0,First,#,sections_FeatureToPoint,sections_FeatureToPoint.ORIG_FID,-1,-1;OBJECTID "ObjectID" false true false 4 Long 0 9,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.OBJECTID,-1,-1;Accession "Accession" true true false 255 Text 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.Accession,0,254;Names____Bad__Format "Names - _Bad _Format" true true false 255 Text 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.Names____Bad__Format,0,254;Names_for__Field_Note "Names for _Field Note" true true false 255 Text 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.Names_for__Field_Note,0,254;Meridian "Meridian" true true false 255 Text 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.Meridian,0,254;Twp___Rng "Twp - Rng" true true false 255 Text 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.Twp___Rng,0,254;Sec____ "Sec# _#" true true false 8 Double 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.Sec____,-1,-1;Sec_Twp_Rng__looks_like_too_man "Sec-Twp-Rng _looks like too many 0" true true false 255 Text 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.Sec_Twp_Rng__looks_like_too_man,0,254;Sec_Twp_Rng__Leading_0__Removed "Sec-Twp-Rng _Leading 0 _Removed" true true false 255 Text 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.Sec_Twp_Rng__Leading_0__Removed,0,254;Aliquots "Aliquots" true true false 255 Text 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.Aliquots,0,254;County "County" true true false 255 Text 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.County,0,254;State "State" true true false 255 Text 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.State,0,254;Date "Date" true true false 255 Text 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.Date,0,254;YEAR "YEAR" true true false 8 Double 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.YEAR,-1,-1;YYYY_MM_DD "YYYY-MM-DD" true true false 255 Text 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.YYYY_MM_DD,0,254;Lat_Long "Lat;Long" true true false 255 Text 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.Lat_Long,0,254;Doc__ "Doc #" true true false 8 Double 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.Doc__,-1,-1;Join "Join" true true false 255 Text 0 0,First,#,sections_FeatureToPoint,T_Concatenated_Locations__.Join,0,254" # 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=\\jarvis\Pro Projects\HoosierCharacter\HoosierCharacter.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>blm_characters</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>PatentDetails</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>PatentImage</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>RelatedDocuments</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>pat_det_url1</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 blm_characters pat_det_url1 'https://glorecords.blm.gov/details/patent/default.aspx?accession=' Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters PatentDetails 'https://glorecords.blm.gov/details/patent/default.aspx?accession='+$feature.Accession+'&docClass=SER&sid=p1p1gx1j.tt2' Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters PatentImage 'https://glorecords.blm.gov/details/patent/default.aspx?accession='+$feature.Accession+'&docClass=SER&sid=p1p1gx1j.tt2#patentDetailsTabIndex=1' Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters RelatedDocuments 'https://glorecords.blm.gov/details/patent/default.aspx?accession='+$feature.Accession+'&docClass=SER&sid=p1p1gx1j.tt2#patentDetailsTabIndex=2' Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters PatentDetails 'https://glorecords.blm.gov/details/patent/default.aspx?accession='+$feature.Accession+'&docClass=STA&sid=dbl3jueg.wwz' Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters PatentImage 'https://glorecords.blm.gov/details/patent/default.aspx?accession='+$feature.Accession+'&docClass=STA&sid=dbl3jueg.wwz#patentDetailsTabIndex=1' Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters RelatedDocuments 'https://glorecords.blm.gov/details/patent/default.aspx?accession='+$feature.Accession+'&docClass=STA&sid=dbl3jueg.wwz#patentDetailsTabIndex=2' Arcade # 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/3.3.0'><WorkspaceConnectionString>DATABASE=\\jarvis\Pro Projects\HoosierCharacter\HoosierCharacter.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>blm_characters</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>accession2</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 blm_characters accession2 $feature.Accession Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters accession2 $feature.Accession Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters accession2 $feature.Accession Arcade # Text NO_ENFORCE_DOMAINS UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=\\jarvis\Pro Projects\HoosierCharacter\HoosierCharacter.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>blm_characters</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>PatentType</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField blm_characters PatentDetails "$feature.pat_det_url1 + $feature.accession2 + '&docClass=CV&sid=dbl3jueg.wwz'" Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters PatentImage "$feature.pat_det_url1 + $feature.accession2 + '&docClass=CV&sid=dbl3jueg.wwz#patentDetailsTabIndex=1'" Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters RelatedDocuments "$feature.pat_det_url1 + $feature.accession2 + 'docClass=CV&sid=dbl3jueg.wwz#patentDetailsTabIndex=2'" Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters PatentDetails "$feature.pat_det_url1 + $feature.accession2 + '&docClass=MW&sid=dbl3jueg.wwz'" Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters PatentImage "$feature.pat_det_url1 + $feature.accession2 + '&docClass=MW&sid=dbl3jueg.wwz#patentDetailsTabIndex=1'" Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters RelatedDocuments "$feature.pat_det_url1 + $feature.accession2 + '&docClass=MW&sid=dbl3jueg.wwz#patentDetailsTabIndex=2'" Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters PatentDetails "$feature.pat_det_url1 + $feature.accession2 + '&docClass=MV&sid=crdgxpl1.034'" Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters PatentImage "$feature.pat_det_url1 + $feature.accession2 + '&docClass=MV&sid=crdgxpl1.034#patentDetailsTabIndex=1'" Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters RelatedDocuments "$feature.pat_det_url1 + $feature.accession2 + '&docClass=MV&sid=crdgxpl1.034#patentDetailsTabIndex=2'" Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters PatentType "'Credit Volume Patent' " Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters PatentType "'State Volume Patent' " Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters PatentType "'Military Warrant' " Arcade # Text NO_ENFORCE_DOMAINS CalculateField blm_characters PatentType "'Serial Patent' " Arcade # Text NO_ENFORCE_DOMAINS blm_characters file://\\jarvis\Pro Projects\HoosierCharacter\HoosierCharacter.gdb Local Area Network 3065211.837763 3170358.768873 1363897.179997 1496148.105456 1 002 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_Indiana_West_FIPS_1302_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>PROJCS[&quot;NAD_1983_StatePlane_Indiana_West_FIPS_1302_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,2952750.0],PARAMETER[&quot;False_Northing&quot;,820208.3333333333],PARAMETER[&quot;Central_Meridian&quot;,-87.08333333333333],PARAMETER[&quot;Scale_Factor&quot;,0.9999666666666667],PARAMETER[&quot;Latitude_Of_Origin&quot;,37.5],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2966]]</WKT><XOrigin>-15495200</XOrigin><YOrigin>-45615400</YOrigin><XYScale>3048.0060960121918</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2245</WKID><LatestWKID>2966</LatestWKID></ProjectedCoordinateSystem> 20250325 14294400 20250325 14294400 500000 5000 ItemDescription blm_characters Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. CIVIL_TOWN Civil Township String 12 0 0 Sections Section Label String 254 0 0 TwnRng TwnRng String 254 0 0 NOTE_GENRL General Notes String 254 0 0 Label Name String 20 0 0 MCA_PRS_DL County Auditor – Survey Records link: String 254 0 0 LabelTR TwnRng Label String 6 0 0 PRS_DL 1976 County Auditor Plat Maps link: String 254 0 0 PLSS_Sta_N PLSS State Notes link: String 254 0 0 PLSS_Sta_P PLSS State Plats link: String 254 0 0 PLSS_Fed_N PLSS Federal Notes link: String 254 0 0 PLSS_Fed_P PLSS Federal Plats link: String 254 0 0 PLSS_MC_N PLSS County Notes link: String 254 0 0 PLSS_MC_P PLSS County Plats link: String 254 0 0 TwnAb Twn Abbreviation String 6 0 0 MCS_DL County Surveyor - Survey Records link: String 254 0 0 MCR_Note Recorded Surveys: String 254 0 0 MCP_Note County Planning - Survey Records: String 254 0 0 MCS_LS Legal Surveys String 254 0 0 Twn Township String 4 0 0 Rng Range String 4 0 0 ORIG_FID ORIG_FID Integer 4 0 0 OBJECTID_1 ObjectID Integer 4 0 0 Accession Accession String 255 0 0 Names____Bad__Format Names - _Bad _Format String 255 0 0 Names_for__Field_Note Names for _Field Note String 255 0 0 Meridian Meridian String 255 0 0 Twp___Rng Twp - Rng String 255 0 0 Sec____ Sec# _# Double 8 0 0 Sec_Twp_Rng__looks_like_too_man Sec-Twp-Rng _looks like too many 0 String 255 0 0 Sec_Twp_Rng__Leading_0__Removed Sec-Twp-Rng _Leading 0 _Removed String 255 0 0 Aliquots Aliquots String 255 0 0 County County String 255 0 0 State State String 255 0 0 Date Date String 255 0 0 YEAR YEAR Double 8 0 0 YYYY_MM_DD YYYY-MM-DD String 255 0 0 Lat_Long Lat;Long String 255 0 0 Doc__ Doc # Double 8 0 0 Join Join String 255 0 0 ArcGIS Metadata 1.0 Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.3.0.52636 blm_characters 1 -86.687659 -86.313798 39.355403 38.990466 Data for the Hoosier Character retrieved from the Bureau of Land Management. <div style='text-align:Left;'><p><span>This layer was created from the PLSS_Section_Lines layer for labeling purposes and to serve as a repository for links to survey records. </span></p></div> Office of the Monroe County Surveyor PLSS Sections Section Lines Monroe County Indiana File Geodatabase Feature Class dataset EPSG 6.3(9.0.0) 0 Simple FALSE 0 TRUE FALSE 20250325 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzMvemyJMl1JnYi98y7L7V3Vy9oAA0QG0FgQGrIMZkkM8kkk0mm XzLTs+g55gn0f2zEkTQa/tBGkCOKJEgAJBpAo7t6q6qu7e431wjZd44f9+MeHpF5C6BJAVTfezMj PHw9y3e23uXFq6ooCsI/XFVVUf3C9/VPy7Lk+/n5TgcPm+8qwv/K1YpWqyURrfjz5XJF3W6Per0+ FZ0uUaXvrKisiLpoJ7yWOkVBnU6H34H7yqqi6fSaCiqp25V70T66NxhMqNPtUlW58RRou6Syknd3 ix5hIDoUvLUwY9Y50O9MN+Qe86yfK/4yM2VJe+llH1kul7RcLPn+waCffU4/0imO+lpVMjfliqoS 413y2vR6A5nnohPel13fuM+LBdaLeH7bxoCxl6uKzk8uaTwZUn/Y4/tlX8goV6uSP0Nbfh3NnMr9 Fa3KFXUKuSc/oXbVQl/z+zXzrH9c3qltYc5WyyXvIZ4/2ZC0XJXcr6LoUr8/pMnWJFp7acq2Vb82 61sYi3/O7klzz8LtkV6vWzuvubnIzo/d/5n728bgv3drXK5KXjfMU8ft3U3aabsnfB7WjNvvyB89 S6zShvxLcPDlg2ii5AW6qQNRk8/xIjkfFb+5yxuy3+8xwUJ7GDAIkBKlbkG8GOmVDk6mXLZ9p4PF 6/An2g/pL94aTvmynBN1pL/oB37i88osrJ2w2nRGC21nudZd3+ccIYzntfDECo33enLgG1o0i17E fXU/+bB3OtSpQLRBKHD4hUD4fqaUL7nsmvOY24iC+7gqhZHoJUTHrb2jTrzBS2VuBa952lZVyL7J v04aSvuT3a/Nj0f3o08gVKtySWVV+mEvVhV1un3q9tDPDvX6chC1czchRJtetb2XmYjCn72wjPb5 3FVbv9zDmXlsZVSuOTAh/JsvFiyI9Ku2/VvvbztD1/OLNQ9z3lv/sKdW/hjL4ZZBiiQTDxZcVTaA fN/tdvnl2KiQoPDZiiWBkrquDWxy4cBBmsnu3AoHouvvx++BWBriK5RS3usObkklVeWKup0eoUc3 uRKSkyNprVeOeOHALBYL7mO/16MuiHVmzE1rk66bjFOXIyX8m/c5CCBOqlwjyYQ5j19RGAa0Wq24 Oax5sYLojLVTguse9a9oElv1Bc1iba2vZj9Y+VgZlGV6aBMMhKhDg8HI9x1ES9eliVjWevoaRC0l WuZNfigVMwEQf6fVvMZV3zfFjSVAJar4yetYrWg2m1G/32WBRPfi612RHhN9wwSr6WDVN6oQqrDQ qmrIf8FlWWpi0RqHUEX8uH0mYpCo3HfgvDi8GLgSQjupXu3kfxAPhbLjn3QvVlk9h9IzRx3qd4fc zrKas4rYKYSI+mcaVOKmxWyWBOJx2nZs2xgvOBOmrj+AiixSp92qN3l3G1EJLTopxTUSH77QZnXD gwdGlOHZ0TiYaTlGtXKqBBVd0t0Rqymx5BjkSt+r6E0q/euYormIiGA8JmF80i9VqReLFUtU6C9r Aip5NzAdP3nahxteretmmZtV+yuRYjtFP5r3dA+3rV2Y51izaOuDfVbZBi6RlhWqGYoWgz2R2f+5 8Xo25FXOeD/gn9KR3lr1y6hL+jdTT6cyeM5TlrRcrVg0HA0HRi2oT1rKpVQ6AuFSXCqvRqmIqJMh z6rE14S18f3U5YnpdnCvENWu56xpP0O7foE2nPzcWK3qpnMJyQr/xqMxH4ws4VjDzXPq0VoCY1SC JnWqSX7JqmMVCNCKSqihBPU+zGdOLWYmVQluN18t+G9IMh4PVCU2YVaNwwmdiYhW09BTDKz2PYiB ZdYJUW+UUhv2yiZXjlmm81xCdV3Ned7wd7/fpw7vm2KdttdyrSeU8d11XM0+kzuz6XzEY5T+FjeY N39S2g5HTQVUEuieAZFaLVf88vFoWGsvHVj6nUhWAHsX1O3K87krxnDqfbb9zL8boF1f1NZqSYvV jHqdQSK+tonKnu7faFOmiwHpajab09bWhDn5TTZbG9bQyMESYLb2nHxZV/0zmzPH0IaDoZNY62pA bp4EgJd1mM/ntFjIUehRMK60beL0gFtJrE5sU6koltpcQwwVrJYzlr773ZEjxuGANkpVRuK46ZWb y9wlEoZKgzAgFUysVK6VOZNRpRpKXppRFLguMfq7M3OPp9I5B+Ofzq7p6vKcyhJ41pIOD3CGC5a4 cI1GI78woa/1uVAoqHDYcjw2CqC7ToqdIMuNeJBexHOgdhkkBW6I1b8gXq9boNxi4Xlwa7Umpffi B9QJ/b1p0Dnim37WLQCkyqKHPhvlyRK+AOrYl0WbIpUm0n7o7xDtF8sVDQZBCk1JQxvRiSW27DRH G7jp8jhh/GkNA6wdzFTtoIoWqwUbNMqqQ0WVhwByY8HnmAesKfZRyf0ORKu17w3t2Z9pE3aWox4x mwfEAFXQrVtGEvVjeQ1iFfZTXuNoY4BhXF3uowi2EAXXvzPSQvw8KEZcf79VfXOwjOtR1Pfzs3P6 8MMP6eT0jC4vr2gymdDW1jbvbxA0XPh90B/Q9773XSZgjRqD/BKphPZWL2HVxTZrBbRcrGJwFFIC xFPFkzaZ8Ka/9bNut2AKPcyY9gOOlViMzOJoP5tE6+j9frGkvRzl98+a9/heWZwg886mQwc3D/wb jYbJGI1ko8+bd+bGZPueH284IFbFNTf7zaEbJXpPiiVlLGR4utfttTCZGI+MnlU1sduh5RIW01Vk tl+n3uaYRK79dLy5SwwAwKyWxpCT2bct6k0b5dJHw5ZqZt7ZPeu0ik6n6+cnxxjj582+dpJL3OFm qdt+l7Yr44Bbw5KWqyX/jvWHsAGN4fTklInT1tYWzVZLur6e0nA4oNFw5F/dyGwbbtBu1DAsvcTd oMOSVfQgLFurlbPW5YjVzXV4nQSVOMT83W7J8CqhkX7a1cE8yGxvDxiFSg857pLpeObKbTosKKQJ LKr1LUufibhdi3q9fpwbPGeIFv/pQAUPKWUk1Ohx3hMAg4PVLf+adklLiESAGEBA2KjTAFWkxCr9 Pnu5w5u7DZ+L/5gYfxqb0gYSySpyo3HvCkytzjDCTMVSV534OM2iFH82tYznCFU6L1F7Qceyel8r c29ac/H3W9F8PmN/tV5/QPfu3aGjo0MxqKyIdnZ3aDgcso/bYrlkpgY/LWBvNyMPsXYTESw7CUzB 2foDTq8WCrgFCGFgK58DyMNk2Re8zgXLYtdbDNt0er/kG05y9m1mcXMir26lJqqfNFbXQZJ+6YGA GtTWl+jzNWSn+ZCGhQ73bDo3nlRutprwk2kBsze5RMKRAyk+W+K3ZRliG9Fc98Z1I0fb0BiYmdyw /6la6BnpmsVL+93WRzC7whm81kEu66TTsFXX7a6GfjsHbrioCHPp0sHBPlu64SVAnQGNRyOPz7q3 3uxdbnLSY9VL9VRVA5Vg8GfwRGZLkDh5wmcIP9dt0nW6eXrhVgxytVp4HC3LDc07G1W+TF9y36VE K2kpZkh2k60hUOnFfmfssev8zTL9axtP42H1n6duKDr37diYbUNUZWOyNrfmnxV2ptKi/kvHRBm1 vTZmI4FA5VFpFF9g31sVKB63jjZ1jWiCHvJ9E4hjxVJBOo7ce0QbT9XjGLS27wvjNzb7pF3bZ6t+ qUtD4fwUm66Nzptxlo765N+5jrkJ0SwKUQM7nSWrmqoddbod9sjHXu/16lpRHhNrmA+nRQUBhUH3 tD8iWeHSEAtYADHMHvumCIW3xKqpA6/DaXnQzGXRnnprJ100//2nuNIFVBwgPRDai2gTZy7cz46T VFG/Z7ymW6S8dD7XSRlr92kyY/WDETAzOzg/tgyxUjsTiDGT4IzBIyXEKRPSzyGxwy2G3U0Y/Bar GDY/S/QutCdtW3ti5yyHRyZHJ3o3pF6sDy4b9tI8mc4gUfs4xwzqRpBor7g/6scwWL05bMn7LRat ksqmQkKzBOYImu2HDsR9r5IefiJyJXztrLsMtGdwsYa9XfvbvR+EmgUlH+rFKqGRrsxGVtM7PodE xVIVux/ULUW/i8u2BdES3E6xrPiKpYboG+8J3LxoOUykjepHqr/7Iz3c/kAb7Mm+i4kVq7nW2XXd lZESMxuottBZC6N86xUXC+hHTpZJx6rY292OSTcueJv4UcV9Tuc2bxiw/m6Q1kJIjxwKxIfKXgDh wvz1+nn3CT8uv4YxifaE0xk+RHMQrQHhOctlScPhuDb8dDwIeE2Z9borEG3Tnp/evNrtiXGnoHKB uNAQ9mIl1XitkzW6oRYQt5JnYv4zJ72z1RKA+3LB85lsA8P0k3ZNF6M5sjSI8bCSDVRYs5pKqBcI xXw2l3AR9lBu2nDrNdNNKP58vqDp9ZQ35Nb2xAHwBffhmkMlROqabGFDiZlTm4wXLQ+WbkpYc4c9 lkrkp2JRkAYQGJsSqxjIlKBV9B+AY1Mf630xXCshhDrhKfAcbwh7rGIiYyX/ZnU4Vt9yc6QHTjmg 5c1NYHl9jKnCrT8DoQNBhKoBwj+fL4V5Jvipe+l6AJ6XqkNPnz6m6+lc/MecBz7RKQ2HPbp757YQ iDBrElDPf2nIWX2M67GlZpU0nTO9oN2EhshtCpmf+v0pw2mGVda9N3plw5gECuhQtwcXnR4t5lfM mAPDsP1K91G9PX1f7Kwbol9w9VQiYf7rvmTzZE/UP433ooaMBf4l6QS4+zbBtpbzBV2cnjPo+fjT x8xVtne26Pz0ghbzBf+ODXp1OaSL80vOyLCYzWk0HtF4MqLLiyuOpj88OjD+Yg0LkCG8m0iMNSIN NWIpPmjixFf3PwpcssP9z0lHTa/UjYaDEqkTJjIg9CbT11gk9IfZEnczKXVOnFHbAt5kiDN/DoXQ YV8twcm5fga10X9a+w4XB8j3ei60Z8VqEixPscaRZ6oa+qVgMQ4VYi23JjvsE4cYOEQb7Oxssze5 bVTxIz4njlFFUI9xxUQcXdM4/Tw3zEsTtiiGB9FuCiNFb3pteqvdUzmmXddzTOIBlrTxD9EOAuNs ppauZ2jyTzK54OoJuOnSr/REH4X4BROkxQxSvEA/ywOb8cbOfW/bYGvDYskq6MX5BX8+n81oMRfp Cn4c+H755ZLOTs5oex8m0wE/e/bqjE5fntLx3SPaP9jjcJv2SUoWI1IjAk9tHJPBpCBhlYsVffzr z71ZH3MGfxMcKFEDu7zpx+MRHezv0/b2tulLvn+BKNVpSR3bahhf/FBt7CrssxtDBsC2qneNoNu1 dYypTOZs00MFAvTq1Steb2BYaBu4yGSyRbu7u7V2OHgeTG4FNXGRjF/0DuuRrbRFJQJEv1asmndp NJrQ7PSUTk5O2Jlxb2+Prq4WvO+qnp4m/x/+IRbExBjjpEtJndR8WDcnM9I2E0s2asTzXyVSaXOg 8Tr95+baiKfVBsfSv8G4yxKYo8Q7bvaeeFYYCjIPKw3Suxh01wPipQKXoyhKTbWJY16jqNp8oQ3e PJMR9QZ9Goz63Aw+Q+e5k32YS1c0vZqxBDXZnvA/bF5IVyAenK/ILOzr4mzKaZqIMUtWJVKSLFy+ r5K+/PJLOj09YwkRz8HShMM2m854RjDpuzs7TEwtwQpzFs9Hrk+/Q7jQjcNxr7QH/LLmaIJaA3yj i3zY6L2x1DebTplAFJ0eDTp9Zl74d3FxSaPJFpXOidN3j3MpFLSCpOPyoLH06PyTOoVgPZ5QeWIV WzHx83p6TdfXV7REXGe3y6Ek4pmtEl8ggO7/jlgZTM+9Hz8xDpyZRm30JlZzZ53H/a9efukHP5/N 2P8JKuvW9i69ePaEbt2+R5Ot3cSN4GbXJqqjv1fnlZlHkPShFna7CHWbRfe3S5POsACLsItkES0J 34VsLKKKEwx/zokRVpplkLbymEbbQVa1gW58wS9pZ3+Xf1dgH/2COshcCxgG3g3RHry8EmAe3Gx3 f1fM0aNh5HzY1v+03zlVqcmKIWK6WC4kn1JFhwf77GQLrs8xlZ2CDg8O6OrqmhZLxEd2aTwZc59t X6S9WBzPvbPtyoKibaqtlSMNRhbUyPAl1FEwLkWn9GBG7TnJEjSOQVKHX0RqU/Z3IVjT6ZzncDDE +glOhXm8mE2pmBdUdvuRNxh4Uge7YEU0qioadVYsNSn43xQels4lJPTpdMaxr73jI1bZEWkBtbA/ 6LNF3K5FbR6tmqygstu7kkAyzLGocRtKWBp54NRBhLydnr70+bqm11d0eXHG4zy+dZc++/Q3NJls 02i8lSFYOtl5raK9G3XH3Hj8Lu1OeELoSH9A3QWITx5LrNl1nMOuhuTh/DNu7vzyvJrq/ssggO0c 6/sIHRnWnRvDS9qtcDfRsXGBII1dxL7tC0Bq9o9xVp1BXwNmF55gCZBdl46a+naTz3PfqWqB94BQ wibw8OGb9NWvwlEuhBTxhLuAbqiHbGk1fV3fnzweE/1tT0U8CTHxSf3lMr53Hpt00pxgPeKsyHFr viWrauqGE2wI3LHy58OoVIYXSFdjif7s/JwWL1/6TKe94ZhWo226XI6pQ8MaF+T+VhUddq5o3JtT p1y4JJDBJaGJq+vne3u7tLvr4mGRRJF9sAYud1uDn1VDULG+ij3zGR9jRY6WFdGsBKBP1O+CuCZZ yoQyGdeHoMbyfAJWWKxoe2dP8DMimoy3aWtrl2aza77/+PZ9mmxBem8KWmkmtk1XOr5ozJ6v1YF0 eVb9DJsYcMr8xf9NEns6K3GmvyrdslsDqJukXyUawK+i3+PN15T9UzdajKW8hmi1wcWuAOyFHKwl 6mUbsilt9v5UQtwUHI7bgN6usVxYHPHGRipi/PO6g5GxOyvBTNLcYPHGCOp0mOPay92tCZ7YqP7G h1QPeo7wRfPiKJGA6S5DqEm4F70B/VzJxgPoDPXdtp3j1HaMVwXR8fExS6PAKvuDAU12dulsQXQB lShzLNANyDXjHlEPRIqgGsqdXqZI3tmIKzk8K0xLiOzwyo5V/zLj16vbKWjBySs7NC+JTpZdOln1 aLoqaNJZ0MPRisbsBBuWJ+Y18gWnjOaA8BmdvnpF9x+8EbCcQu5ZLhd0dnpCD954h/r9wfr9m2Nu mbGsl76ckSF5Xx22aJZw9T2qpcBVJSVWfsZtQk/FsKDDQwRWpzlOLjdfZgmW7VzEmTe4UiLXRPRU CtBL/JeIZnP4hYkbBONcnHIjPqyKL2wiNa1b5CaAHlab4RAi+JxTksi98EGRIOCgXrVLdFYtdN/U +24tck2Slrk3WvDYhOY9h3mNrf+PSeeiz+MQ6/rreJo2tKxPc8ByyiDsOkMFe/bsBR/OKXXo5aJL q7MlFf0RbfMmhsSivmsldasVjYoVbXVL2u2W1ONkoKACMn/u/5urPe6x4PTqiHXmkFmZImcN1b9P 5kQn1YCuaMAZKDhtFTC3AqpSnWHUpEHXB6hc7HnvVrQwt4E5Hhwerc3s2dbPTZ+xfV3zoJcYVZ2z sINtW1Vehnc0xVJ4WQZbcgQLkpWqV2Hi2l0DInNk4nD620xE1EZCyMTFQiyDSHaMnxJfFYhs6gmd tp/2Rb9vk7xy/cSlITYrJ1EhnAhTrj4pdiwaG5mmLW6T8IIIHqc5yUkupsXsWK16442herCT96Gv 2flrwQQZg0A0RANu1MSoFKs8Pj6k/eWKpquKzsoeH/RJj+hoMKd5taB5JekXB52K+lCrEMIF9qDa r0mAqINsxFqNHGaEqqivTbGEOY96/durc1VF16uKptilTgXq0opu9Zc0RE2BpMXcq5RBwFI6cthe NLOFqvUhJXYTPUnXL24HH9Qxrt/+coQ/kfBD94ODqPbdGoA8I3FNqcqMqwfLVj2dSzsXSAnL6yiD 6QZuepd+roOTPOgz+uTTz2k+g4+WWN2m0ymns0Doy3wxFxWlhwjxIftrwaUg2//kugk3EmOFYCcg UrYghlcpjE7TRmxaOZiRcHRZs1hKcFbIjkvGnd/dvj1VwxQCazsNOg8mbCa9PSftpHsJ2B5LdCUc AwvaoYJGXaJxp6QxgH/XUtepXbU5C7qxzk5jX4O8Wh8/jz2jVOTXJv8OjGMPCNZySherBV1XmBui cbGEzavemWTCgnsM3ASc1FrvELX8aRpfQ4i8eJk23zJ/bYKJxVYbDHP++YZbm3o9n89EGlOO+lod zHV4Q2Jw03eIZ7m4FMDy9uzZl/Ti+St2Z8AFM/j+3h5beGRMLkF+t0u3b9/i75renePGm2ACkO5Q SssXMXAcj9+vwcBMIBK/30Rl3FTylPvy/TcPetXQjkA0JhNm00C0KsWIDOaRShI5hiJOlZlmM5bF /IWZKmmErLVdV5wEHNWf8fp6WCDY+B3c6MphZFH3b7jVoQlsFRX1ixUNiyVdLivqcu76smb1yu0x 3juwwFnwXyXi6ibD3ASPyj/X+u0GcApUPLEYC2yjVmPfH5s4YYPB4Oyry1APjedffnMxkeezYSVv PnFW8pJyTHBKY6vbcsVWHg4LgGUOZuqBeL1L8QABuHEfLC1qXfxtDAM5wiCqKqypqGMHR1FYuUJk fa8rxJNVQsZZmks3bd6PWETO9a2Nt6YqYF4NXg/Q1vqU+zB7b/198pkwThBLqHwbCHbJiAxBdsD5 +k7HqXitmsfNNT7aYBRx/YF0NOogWUBJky7GBQORuH1ggPwOV8nJvkUcRaV9du8xKlVQ7Yi1uNff yXFfm0b5OsTOqvlIfb2qFmz963WcMSq5dHyWudb5nRjcfBGKpsKdWcnLqya63nXQPLJE+Z28+SG1 kyT+ToKNACPi/NFwNFws6a2HD10qEBg6UUFEFlikmuhtHpiXYOoYc9DyTmEDBrVLbbh8nIxpP55a 4GfidY0MjFoPUMN1GOMxc+IJhc5Phpinh7q+cfLzlxLUFPeowZiZtVP+30bg/XfufaHcWkyoLDFo ai/+zkARrq32foTXbTpHvo9mTXLn0qrfaX83uhADCTXXlbjj0nesIXCFMwllciq6rpSm/w5xkiGN QygAUWz4+k3A9frYA+T1mmqhundQSYvlNZPqor9FXZfDX59Vb/baeBKBR4UV+GriWZ/TPdfp3Ah1 IbUaa36jxCl+7UDbJiIaULmi5WLmwOxwwclQ835rZkg46vlspXpQDciMZyBpCbbk3ybfu9Ji8cD9 sZVUN1y9OFHJuLijhGrgncBWEEslQCr8wwbsva0VnSPz7BpCFX+X4z3N2VUbN9Madd2/S9HPFj+w GPOSg7hYzGmIQpqmt0qUbyxdG+fJ3Dttd/Vz+S582DwNelCi19UIZg53u8k49CDqE1qWTvwKZT8p 6K7geQl/spzV2zZUuHGsU2UbCLgy7Pw9m4y1Djekz1omslzNaVYUNHJEK3RQx59UYk/ohhrXNOda L78ZbP1BN1gDbPJ/WWT1vUynxf83iLXxBDVNiH6uklU8VUQ72+NgVXA+UQzGOS/ypo26idVwMwLS /kz6rJawSnOe556yQHqKX+TemcO5gmTQ3M929diaD+PNZxoM7XCKka4U1bAm9oRAbnLgVUGwams6 juhvv6FFuhWfKlvcYz324qUcK5F6K1z7nmm6Isk1+Y6zdrBHv+AyUt49LaOXWIMh3SuORaip4Frd VC80otQmQ8mP12gdwZ7X+CxC11CBiFk4Cxfs2+HnWjU4lSZrgLzlS159dulllLNaER4HTVwexNfJ annpZKjk4MldFpjNTEgCPOu1XM5ZutJBpTqu3hq/b7MQnBwR2kTyS+/LceToGdM/TW+78buSrA7C L9oPT8pw2ubC3mMlNRGuLJGJn8gRXI6nZL+9OQ1G2JTNGQua+uLfb96e3m+JR0pImHG56IOcQcDO Q0oY7DgVv+cyUw3S1U2IV5uSKoc47N2IqTl1lcmDHk9VHSuR7tepZTHuVWfEvxUYvxFOHbQUgYnC 2Q1nx66XUf+Ts6XhYbin9+c//jHt7+/TwcEB/5uMx6J/9wCcIVVxmkO6viHaOGF9cyUEI7MRQ9qK kGkwmTL3DL4H0F3HOmpcqkVCsv2om4zzUmHuINQ4snJLt3CqkkqsWfM7wy7dlIXGY7J9aCMQ6WUP tErZcZtB2FZ1T79Xx9GmPsVtJ0M17wrzmidyeUm4Ezi46cImEn1oJOSeinZ7i9qdbbOm0phljHA/ wCqSnQBnTQzLZr/YLYAUQ95MiGs989uEAf+ur5iwu8+41mQs8Uq8coBxVLL2fTNSvaYV1797jx8/ oSdPntAbb7zBIDYIli4IEH7Nq50Ly9BObjoYvdYREillNOBqwgq8y3qV3tMGFweE8q8gqsAFYu6+ TqRPiVz12twnHlc63gR+CoexxUZtpeP264bqQe2KM5HWl1ONLKakWuZ1SpDCFOSZWH1uldM6ss7f 62fxs02XxRZTKWYTgq2EAhVeVB1ve2/rmmSkD/+Xzk80LpFQFROWIhOlUf2wRzi4k+z7VR3OMb3f Zg//7q+6wQk0RUO9TK+jmcV90PDYT9TFNbPmd+/uHY7jArGSnNHh4oIQDlTVoMa1nXvNk5NuDljZ OiQVdCTHTkXlYs5uDPy35gFiSWyzmMKUoOQwkXY8q9mU3bSNA8cIYQqbPbnBxZTPvquOFcb936jR ht+bPvFvr3Ut23p2bkXq3MQ+kJfSJIOGhLNopP/mF6tnjiBjv3Vb8EZPuDckCHUIRX8Is/IZKlAK i9OQO7zGqX56N/etEibHcfXpHBnp7f8PRIvTWVcIJkcu+r7vrLcOujNRdxiUc6KZYyRETPEvot43 3n+fb4K38RjqYCJ5wFtcq2Cso1f5jZYnYusmVMFQCckRSQsBn71+n1YrASKxfOxh7jyt16l+N7k8 +F3jxkbcjXdMA+mRw6AavRXnI3abSHlNQLfvm9yQPlgbQ60dc7tac/3fKs4nEk4kOTWoSJpxNUdo 8sS/yZL1OioOys9JkY+geuff2Xg5tbaNENk9sW43WTTRS0TRd474dJD1AwC8hHahm2q8qHL54AuK 1yi8Q63NAAAgAElEQVSTC/13RagSGngj8QSMAxlh4cgt1nO5Qr6rMCMhQkONKCBWS2YcSDtk+9E7 OjpyVK0eoKhSSA7wbBphhN+0EKva4BtA1mgSmChJUK6mvWUxkaPt8xiJtt307rbvcvdk7zPJ3fRe cEwOs0BiN/5dEpRhETy4mniuuy0YzUfTlR7tJvwu/c4sT9Tf9BDaDbTJpfma7AFLBEDTh3xsoee6 a95d3ycOF4qk7UAy1ql2zBpBsEz2vejNG0tTBsPRdu1YalEGLl0LIlIZr4VTdEUVp34GMQrYn0Ae BY/R7/VO5p2mahC75Sh+mMyKmxkbUZkbUUZyTiyqmfmUXSz7vFwhfc/M5bTrcMJG9qmSxmrvkrz9 c5aqggU13OeTYrcB57ZOXFMGB+lxujluIprn+6GfQcrq90f8O8rZl64vwNn+vxB904Np+4oc4chA cH5+welSRGUpOWZzf3+PvfQt1BPjLyGOJwXyI/C77SA2gNXu2/Di3IWPJaVTK/Pw7/EZOON02v6Z jZhI2oH1hNISNzAxDvhXXzkzzhyD8nNjiJMmIgy+JDF132QnR9KXsYpF/Yi860U6ZMaLWEnO2OmY MXuMiw8gMoEwRNIRJ2cXFCB97sZ9i+Y1M49WhOCeRlylWsuoa+tipTqHdUoN05LThz998pQeP35M d+/dpa3JFj179oz3P+J+QcTEh2/JGh6eQ5p0GP8Q9G064uex13YwbEcDBkNr7msfcO7yE5FRa+yh 0bxFjDP0kINKJKubXGulxJtemaYgUZ2endN4vBXNKzgHUimDaCkeoYdMm4pwVDuHVh3Z0IgQSyvN ISn+7kxYixzAsBnrkrgzXVtf7Aw00Th9iVS1yRWG7yQzX8g1ajmrntq+p+2p1KsSs82tEMa9zi0l iFZFgzRpzIau6syIn0MFJhAmUYuW7HTcdWqVf28lmUp8n8y47Lwkgw7Ad6bD8bPNVzRuS/DBkBmH gyuS1JFE3zmZdadDV9fX9OMf/wWfXxAqnIGec6LFOcBnyOuPvGho8vvf/z5NJm94Nxeb2KeXcmqv D7d1NlEbm64m7mbby22g3Ptci34bvV6OiOYrN54m4tDGtXBB9EVRgzt37tCvf/1rur6+psPDQ8YI ve9NNCLTTgqaG86c9i0/Bn97zYBoJY/wI5VEEmKVgCc1oqVr8dqWVbQZK6Nt+yqWMk3P7Nzg+4bt wW3LIpjROg7usoFwRghHuLxlL3S2LoHFvTdqvX5m+pn0xfsi8b8A9mMPQaJarpZEC/msdIYFNxE+ Dc4mWKBVRdN9/Toaim6voI5Ci1j6zKgQA1GRCPN5fHxE9+7dpbPTM66AdXZ2wWohJEgkM8BiHR/f ovv379HFxQWNx5LQwBurjKXRF1Jt6pAdMFPSlnxB6yS1dc/o3233al+sqP06Upa92tpoBzLzcgTn cB+NWDXEPxAsxEAi7bQtiFl7V3hpaN4cyJyVsdVwkf07uFJ4oTajhtVgukTt9T1RaSJVm/LFkbNX RAfWPLQJ5qjdSp6shWDJdJo9xVJMaRICmvZ8uJDVqRoIdSIB6r2xdGXbVt9DfVgsy4Xzihd+AJUx FJpFxpKXJ6ecyM8XX0GsbKfgPPVbKMqSxvbW3vt6lsRwJkKqa8mS6gw0TFzRn4LdpLYmYy6+oo7o 0EBYvS0kOUFR9Ti//uHhAdciRTooj51bzUBVwmynsuXjxdSI+nC24/ayYH3TQONB53M75do1D2+M ddz0aiK0rf1LNiIWBRvm7PyMgcNud5f6PRgLOvx5re2aqhC+qMs9m/ZrA6WMXXzSNQlCuPuwhpFY gN6qJwlS3f7uXGe8Gpw9169x5ecgO1tODesVPTo7O+UDCFcfjZcdGf/E1qlNsinkblU7ge1HigEy pu7TN4saWOiZ4TzoFV0jB9ykz0WI0XfcD58lpDlvI+a/ixOD1hmnQnpsl0sMLkeweCqhRvpwlLdD gRgQ1vGYi6zRFud8r2hRzriNfmdM/f41S12MXdk9l+zRLMGKNqh+5sQzLUiZk6Reh2J7q0OGczZL PTeDPXL9SqW6yNrSwMXr7Vg31nBxBeutMScdOzo6ZKkKOjsWDwQr137grkHVii5vdsuL+5vMe03l VdWp5dEsscoBr/4ABjWnuU/xS616GTsCNDxt1661v5bwaeux2wP3E8AvF6JAhaOCnjx9whx/NELc qsT87e3uOcylZOl5e2eHVfzUdzH0ym1S7G2VxNzH8bSEPWf/BanLKd2eWFW+3yBO+wf79Nlnn9Pl 5SXXVUSffjtiv17M1UrfikGx/xv8rtggJ9Zx6spgwbCHMDwhI5iryLWqYBU1hg6EGoGE8XP1eFQ7 nizBivCl1FLk9IB1FiRtJ8ZG1uESGwac3pBFRJvTApa/pXNdqqLZtiT17xFbPTBs+LPZMkw1HCwu 8xf10fY9B5DGnHpNKhcv0elnMajZrJq1qMyMC9UZQP6KiU1dbW1jEC2XAYqCtJrpg3upqtmkRVnn M3YtAHB8cX5G5xeXUtiXf85oMpnQ1eUlW8oPjw7p/a9/naNDukl1qTDsQLRCkftSpIWkWyHrSAzu i0tCSPNUaZV2fwaFaJyentI5S/MDmkxGtKCSdqodQwwTiTXoxn6e9S9/Vhr2On7AqRPEBf3m9Dns ySr3dbuw7kETQ0FcBMWPqIviLGigKy4Zs8WMC5eAiMH9YeUIF1tLXVuqpYkkF8RRLlVvde2YaCQE ye+BdnwqT8zWk/20zVbi9Rp0Ju1XG/DYpO7G96gvS/5SrG2TMxcITfM7c8TIWhGLG2E7lkilLw3p cCzRqLergDF8bRY0Kgd1vMYUb0gtc/pZAG7rY0/HbKXxwFBjphjel85xHazn9lz4F4efVRXjLYhI Gw7HbMGC9ABTOypEg/HAXQWSA1xq0nXx/fProcn6XBhZoi7qc+yYDeODm3uPGfMhNvmxKAwAOdg+ /+xzHjEIKtRCFIbd3t5KiJHd52FeNDOv3hfk3Doz5ewSTu1kj/z6VhDCQ5D8huxmMl9IjcmeSTsk qiJRB9ibC0OCWqmXxC8jsyjK4vX8uyVsyklYTdanCPNyZcLx1Gy2oNFI/Ivyz72uTBoH3DZxV/l8 c4q1kdR2w8v3b02oBm82p0bnrJBt/Uq/tzhXVr1rkVBrRM4C5/aweT4aV0nW72o4lcN0kfHVlhX3 apCRFNbNf06wyxGz2t5IMKGcTB8Iu2+Ev0dqGmQHkXQvcuDu3b9HD98asqe2XhpCc3l5xX+DQNRS BnlC6pw7HXjO82v5fdRPTaMtMy/Clc0HFqSMylk48fegGNCbbzzwhEtC58SiBuLHlaWcWqlVr+26 SWm/qcTtdvuckjmo8mE8yN0lfmIoASgAvzqj6oX34T60C4KOV/V6Q1qt5lRifhfishHeLu4ZnPQR CThd/Uv4ZeF/GDEIHYrs8ufdggZOkmW3hkZLoQFYtXsStIiEeKWEnDRIRe1X/E7LMb3m2UisgiVi 06uufm2GAbUREis65+6LDruJGLipVGe+jN4X7jWEZ4MxtbWtDcXag2FKtfcEx1lIWIPKVLY27Wom 2HWSoz646dr6Z5K1sFpZW1teGvLEQu6GWZ2tb4bEoPshrm3dPncpY8zf9p0p8eDToDGEZs7UM95X MiKTgMfFIYrEEvzQvNTmJE2JUxRmgfOqhWJJa31C5Rx2qe+slJpgkPEmjiLpuFqTmbPp7gctwKXE SscHKXQ2L9k4IBIsHHzFz4z/h+d834OEh9+Bh0kGEP1MXtkDWAdwMfVgr02sISqYIOj10FGVO8NL V0XXHIbhl6whU2bTc/ZS8VYG97pSXL1NUQskQh6XD0BtyHwZPbfuBakwmOQNC+NqVoOUaWhziiGK OmZetAHzWEeA9NBa1Svtg91Acq8UHshLG80rlZlVT2VqBHdDJqOOr7Hq22x4gaNmtz/kij1Y9l4f rieirighs2qT4pDrGE8gnCZ9karIdp8rBmis3jZtNw555TJZFL698B7/00hmKgHxt4wbhfmTCt0S LC60oHISphAUqdQj1dh5frxvWIbBAEPjDMCSQFM98a2kCekNeBcMF90OQHdkoRA8ryznVCB7cKUO 4A6K0DNuy685Y0MPjUKkxE266WobobYxcMCXNJ/Kc1y1tY8KJ83l7cNg279vI1rNWMrrX9qm5owX ottj58GN3tMiXWn72AyMR5iNqRsvAJ6hDLg1akjwt7Wc+Le0d6vhrvgwxUTLYjzNQ8+vT5BW1nYt 9CVjbVATNncjCwCuazyWuuJPZbT2lXxIC6gnPRoMpXq3J7INuKJ8le9H1tgR3+BxvbTfSh8VG5XP RB0LxI5ahl5nWn7vqLqPsJ9C1EYxlDgQgHOnS/8hUcUSfF5DgWQlRFWrgtc7JwS+T7MZCOSKkL5O tA52hOeCI5z00TNfu4G8SOe3Qg8AGQgWXOkRtyRVZ/Il1eUhNCjewIjpC9gMcpeLZKKTIY54aqKN 9f108Os+Szq0dt/eBLdiolJi/CsqSlEDOE3JGsOCpHHGnMH/1oKW9XtFirOpZmKFgdviYG6oB8LF dR7j+iqKL7lx+rPp7miQbFunSxFwo27wjwYpxzIO1ai0np5iYk1zplfUtoLULszntVRbQ9yKBmk2 LWPqP3fYUESszPvtvVmClGKNbd3E9zlrQK3ZIFOr93yVH246IK9K1iQ//OOCyVDhwyukypQA3GEc usdypNXtf85NLxkncHZQeAKalr1TvneBnuqtz3OA8meiaiKdMlRTOQMSN4niMjIGR7DdmKWQ6nDA IB2X0Fqt2DyaqohhoURkxeKiBYCVcniRcEvAs5hgyaBwpqEPe8zlBgB4/eBswGc3bD+omZLhVJ/N b+/AdaXaMQq2Yszi4JfF5WD6hUsDHEeNW4NNJSxSWEUrEgYAMRxEENhDXqGKxZiALZhDlY5/japt JQluxxCtpsvieGI5UrJan4f0XTHRMzns9Rk1aGy6TxoMQNFnXrIJfeT9G/U/P84IgzR4YuOcZAwm XoVLIBLJqtAJBVQS3hPtgSKVeTJMKtcH3RN+zTQljaRvEmxOzjMwrC6qVDv4x+J4XrpaOqCczzRA d9COORUD+IGFArDeiOAcz0XTlvqi7IxelDSdX1G16tJyIRWo+j4HvB+hv3riwQ6v3oEnXAhWhDu9 9RsKCy/VPyoAaD1EWMshwwHzpZ7MxMlhRL4i+GG8nt9T/Zk45UTo2+v6VSEf2JCWTl9nPK6tLWea BZMSL98VVZqPSzpsWvaDyGN7awwCcS+buXcWU7EUKDl49SEZAmj6reOJvs9IrwDdeyWStrWr/XYO UqJlQ6jT8dpn2pZ4rRSP/jEzVUlBrFs4sE3abDp2L4noIXZz1Hq/+lOlEpvDnIA1lUsj9pjvdX46 1pLrVDG10vL9iaBWI7TuwlGUXHJdxuxwdpUockIBIsao8RlcC7Soq2/XSdOgA358QpkckO52EK+V A9G7Hbqaocq8UzcdeoBpWS0qGnQhsS1cnKdmKOQJixgM1yWE+VCAMzh69VnEg/l2ZxdFw+uLbvVb LmS6VtWLN9km6lobwZBkgpn+vBaxcsBwgVQ1da/l2IJlOSSkTLh2wE8mSFceb7DPp/1M2oektlxg DUoWh9GucDeY2iHF4bPYAiNdioF5e1mcyvd7DSYXiElgCE7+NP2N+67P9V36k1SdalP5syonh6TU jR1Nc5gSwJQp1N6vOrSTONRrO5qrFpVWweCg/rVjnTlpx2JkeoEYMUFijEks8L4/BoTHpSujQLS9 UqIbA/7qT7WSmp7kzq6GBZn28T1UPmhNnVXJhEvXCw61wyHoRMg91un0qTvs0XwKtw/JUCyMHY6l IIK2PoOA+cs5sjvMkDnLCUfKWOEXh08l2wPTemcMYrkLRCqkJBWQFykt4CC3vVX3N/Gv3QCUlnsC r7SbtI3QtUtKMQF8XcJnn20aX5NUpOKySGNhfrLieEaKsudC1QCu8bda0nx+xTP26uRMDlOnyxto b3fXdUxS2Cx8ojPxcQl0O7+R06iFRsLhMJWw+e0xyGA6MG+zn5XLRR5ZvDaTeq3kIoU4M/esGYf9 zPc6UCJvFPCSkVkaCcaNDRLr+xvy2Ks63CSl2SueD04xGiRHJ1WgFwGWYFmEHABWU6m9lNf8Qv6h xVwHsO47bSmarwQHFFqAjKgrxqtBtCR3lex5SV8uqiH2qOJYMs+CPal7hCxEwOOAEcNfFPcO2W3C nXu4VVQCtbDFlg15ajl1Zb4YzOp1uGOsQ/b77CQmTqJznwoiXbBNFtRWCMGEqRi5fiHb2m5u43Xb bHp2rQpH7eqWVpvOtSMHxoGNPmOneP7i+y+++IJOTs5ovlgwwdrd3eVcQvgdmwZiOzbNnTt36Stf eTfByGwf5cpJHlZCU2LAnNuoTTkpLj3YgTG1z1d8f/t9KdGvgdWNo815z+t4A6GyKlfalzwDy/RP VVkjhQd8Ku5DW+/bvrO2CXKEy7OPSJxqbqiMLHqdZknUZAXRuZHaDsgEuvC4FR6VpJ6S2pnTICed iVTlKjgVy8cSFyvvCF2XZ9BXo+4aWuIrP4vEIP4SoKKQukCo0EkknsMBUae5Nqkkd8lBFmfTlPDV Jmzj9jZ796ZXbgHbpErpr4CDqbhv26gTMjEhQ9VT62LukKN13ihI5LaEy0VJi7kYRcCFZjPJ7Ih7 JR9482XV+lZmEVDejDxl7vMjkQ3pxyfgygYyRn2906D6hoccYbVqce0Wd6ibqkdL966n185rXcJa BjTYAFKI8RT+xEglkboXEct6H4sG71bZDSqlhloAsVmCImjACbmNOcBw+cKljlg1Xsa1xi2wYH4l JK2lI1bi/In8V/jHqnUhxiftWyCAYU0ULxcBRrBDLf5h57E+WQ3Bz0JMes47Vuql9ftw8xcihuaa uHjbJWqDAHKbEYI1bRmC8U91baruMmBp1buG8QVVlzzBYh82V09PrTb4nonTqqSD/X1Ot4EYLR0r EgNiwaES6vt3dnZqWQNugqskD8o9OXP2GtW6TZpqX1exLK/rt7m9kRroxx5dqUkRMpcvX75kCRZz DcmVU/Y6P0TkZEKWDcQUppWidNs1YnXOfUL4UHwI17LkaOjx3QFbpPqYE0NHaVwO9BlWW1t8C8MY 4nOFv9RlhYkVwmaW8FsTxuufSfDD0J7B6UCoWKoNMmdSsjAZr/SAoRKVsNKbQKTwEwRKAx1BOSFl ccwSqq+2pCbOHljHgUFNMXjEBv12mFOeWG2Kl+SeC227/m78bBNjiAHacKDDYq2WC6oK55fiG5GQ ievrBScy29/fdcBl3yflD+/WghYhwsB3KtMfad10PB6JkaqEuyo3XDenkRQZWaVigDq8OsYxvSQK nzMfVducdUI5vz5vx4UqMm2+cFK4hOjs7IzT8l5dXRFqc4IRc3GETsGffec732HmgM82uSJjiAli DjqoIXRNm8tgWDJ36XoWtflUTEhjDfkzTqYXqo3jO4xPCXIOJ9b1izFXZwRwaWGQgFJysONvdXcw g7HEOpobeRfWFu474X1K6xQLdV7/Dh9mL3+OjZQqOs35sBymxQDbANYfyb0DLAWEq9uVjIA5Tl3H NeTi0kUdBGpCrKxvgk0kq00OzuteN302cK/6AYkPmqpZ8d+qrpTVqtau+GwthHlwul4hTOJQByc9 WTxLrKI2UhXPEofG8YTfRRWVbJCq8taNCYlaEwafgO26qZsZXFClikajR+2QJZyiSQ0Lz5VOvYZk W3C+sq9+9T26vLikFy9fcVZYUVlKziulhCpa3tpBD/nf7TwKW5IQFK+aNs67wQ6tfpfsI/mq8MTa q77Oj0vrh8r6SSK/pvnOnaU8cxCICH1CAkppW4gexyFyVWfjR+cxPSsNWnVZIA5hgskejWeFCg71 63JEjbRfNBMsFYOBjXClHAeUg0ovucihFH3UBYqHmNP09T4c0A2wiozkYydYy3vl7m/j5k3tJx/e CIBfLhbU7buyRZlL8D/UZmtR0dxPCSbv0sgV2LAhHEywXBuMfeXacBvaqifpWIWBt8+9NxIUzfNo m2A11lsJ9TPZAbm5Tzk7qwnOYzrffiNY1cxonIuA9htcej6f8Xoslx3ammzzew8ODunNN9/k77BO SCkjkowYijifmZs4356vKYgCEl2O+rC9UE1CxiV+X8E8GZYljNGSNLUWWiZQn48VUq7A6uekdpxN Dj7WdMltglwy//k1klZU8ImEEge8MzCeMmuccVctXitaB5USQL1gX1yf0GViKMsiOSMqKSJP2ZSd UvUb+Pl5McwOCH9DBQF+xTeigqur/4dsjFtbAbsJjDz25k0vVjGZe0sIUB5EjFUFe/k+JoepbeKb rlZC1nB/7WJCKha+XPXpFHT3c9PpUQ+Oqss5t6Hib+R8C69fBtURTiHJ/3xvcziK/yoDOK8hUHX1 zH2G/zuP56Zn9Oqy2hr7Yfl3t6wpEzvevHYU+Xc0tdE0JkkGp87LOCjuHRVM85hPYQw4NDCKQ5qE Bda9qTbH6SWBxDhUmhZY8q+ra5CTM1IBNCY+btSMO7nwrLJE5tNeEh4m44awgDA6fC7uBQZXSxlq C9Gy85T7HU1xpIVzFJfPLB5lVUJhOlAVUXgC0pgSuV5PJOcV56SHR72oghoVIwSrZDqD9+NZVMRS SyEzQqTLWcBlIpMPy146KaweOC9YHBxxNkUKWcl5be9vk56kg12edAYATf4ke086eemE5tSHNkyt 6fPoXTeoPac/QXC4qgme7Q1qnv6qi3v9PJqHfnS/EDRTNYVr1AGzksRojCfp7Q0d9fMTGvV/t23e dL2msxmHXojlrmQrGg6TqknR/e7EiGtGqp7mYuAswVHVQV064qK9dgxrJarMXLChyEtvXRoNR7SC z88Y/ZTy8EpNxHgCR8WAy6zbDwxB9wqqcKBNtyRFizB6UfurqBKOZhh1U8SHEntp4RkY8E34RLqs EW4eKjcW+EhyL312zjoD+11cijsFP6r4kqUXR1QQFRArCDbinxjr6TxXkEQRq+vaVUnN46SuRD3u my+wB68ZN/fplwFVtQ1SKSBakgRnQrSgDiKVrAB7cZBwlhsbZ0K1FFh0Qydn02sdadmYC8uL19+X tX6olUT8qKCbK6ArhCdwJQsMe57ExLrBROKxAq3yK6K/+rHV2LQZd/S36b/1D2qbPahMV5fXTCSF g3fp/OKKK/YeHu474D+aHPfuPGFunFP+TxmyZBQIwKUbXVr9O/he6XvlMLOK4aVbdkKhTiX7lQso lPI5shOIOrLmyKe4GbeJzAMiEYQv4J1dhb3PmTg9suMtolYTxBywpOkIhBBPwAAxweqwYcIZWXy7 NygEeYNL2V/RNA2Mv4prwsoRTIaPWBgJgwt59B2Bhmot0+Tac+8A4UL6ZbfnNclCaM9gWPYMpAde /Sc44HclEyaOi3PqdJAOtdnVIXBKP1zxBeHMBZsFuK7DoXIA4k2vm6y1qBiu/LwHdMUXirENp9oJ DiJgr5UoN+qPUTE7IFLOS7nRj23dOBoBzviS/sKzWVxbVK1FznMdb8MLnDVsg5OjUhnmDSA4JCsX PC5N2OykMa5hGlGFq4GBCbNNJTaPk7AVD4YMMOCYCFtEKZXwNrnYxcTVn+RH2QVAm0m84UWLZHWp 2618kHxkAVZ1uXJOo68dM3vDq2rfP0qIFEQXwhK2gaUnst5CrHUft+G6HKoEGMRJr5LR1ILuGUzI /u4tR06qAkh2fY1Mgv1WgpUDa6GnsujngojTd64nQGHJN1cRZGLTdjcF/2PQH4dZwge8pKWH2YHI nY5Y2DgqfQVQNEggqaWmDSNS7oPgaiQsUoNDTs1rGk/a/3b1UFxZprM5m/6x3kdHR67kVXOIlhK2 aI83vUd9cYy6JMC4jI1VUd+AY8vyJv8rTP7Yd/0GF5l10p13pEylUmuRTNXrtr1mTPJxW/ZrF7Bs 6KC/v6po4LJ0KL5rMVCPWxYG0+I88YLV5Xr2T0XYggwSUkeotOnXD4n5UpDVWTTFtSmjEXB/gwaj KqTPYpFaCXWB0o2Pz0WXFaIFbEB7CfAspqYC0tUXrp5JM94SdfyrmYC1T2jtgNpEeS1EounSwyTg elAFpddJIBcfQmAnTsVQ9TGzpZoIlaqRqTWnyPixRePJGE6iOdmASHPmyW7XFcaUIFn4I4lLAJyJ ga3Us3KowSCSdkwOqpwEqF1mi1e5cP5CcmBZqvRUK3+1Hsg1BAbvZKusA49dfWGHpTTnzq8xCUc6 9Pf6vPupcJ8rgY6NSHBP6ui4I2OU/hK7OCgx86qs6bMSxzYD1rpLxrFGKPdqtL7H4F5uQoTWhn4M B12auhzxkSQbjVe+1XHCYDJwiQkMwRJnt6oFC+HJ6XTo+npGH3/8iEv4cPoJVfFQJHELJdpvNxIf /V3wmTDPNu/3OmIiBKNo3JhZ62LSZBOo3yRBiE8KcLtlbV788+Z+tfrhgCN1TeSK0GKcSAmrlYv4 cDtgs9b3FqkpxeBca24M8TwAozo7O2eT8s72Fh9olJAqUDpqe1zz/NaLQeZOhVytAk74wxIyadpJ 4/e7fQCLHacq9nX4PMjVetiaP1cH0vaLrZqGiETSVI5Uur0Ws9nM+5POxIQq5B7za+F8qAT4D5ZN /1rDpCuHXWktv5zF3Eq6KoDc9IJBoilmN0jUQXUX0iBe8FhPdmWInEjFARXqst0O6aWZS0GkhEGj gIUUYMXVizb0BkKHbjAAhFALPbflOMQFnV9cMMFad4Vg69eJLzQcTwFvuBegMIazrgXRWx3bGny0 NsSvdHpyiIq2ocxBCDJAZMEiaoQ4MSVvqpYCgF1RSTNUREHiWQ8Wp6phTB+i9j0nzs8t1MFbt478 pme3AwDwPetVX5/HQX9AnZ6EbsThKKozWI0uKLRYK6lPl6oHQZJYNy+1e9ZMp1g0BeSunOaQY5vt 7q8AACAASURBVNT1awMimCT546c8rhcfVf0ckqxmO23EajWjQynSOudaT9ThiBD+lqpg0KqaVW41 Zqi0iHMMXBt7Jed04xQ9Nw4X4JxsXN3P0n1IazoestkamlUTfZEVikElx5MxHR4e0scff8xxWffv 36d79+7Sq1cv1ro26CWhH/HnOWlAP08ny04G6pap3i/uAkm4SsPmjlWUVvm3PkeWUPm7JOUMUmNg IzoKVl/4jNd53Rpp361ZNST20FubXPppWV+1Bqae9nWOnRPI9ThZlQ8e1IoXuW579d22tlgtWLrq 9ngGklbT2VOuDIKeCxC/yZU5mIIANxCYSjLFOklZ3i8hIAJ8BwA+Pksxqa2phumeN+CVqpmiQYXc 7HK7dVnJMxJd28rHW8bFXoQhq0raMCc3vIB4cAKGpu9NsVMrZbHmpPPl1Ts3Fa5rooAHB1z9klth Hy1YS8UnKxXoYwnLXG2bBwdkd2eby2NPp1N+fj6f0XR6ReNR3+E7dWeztH3xltUFswe1OQlburFV mlGwD6ZQTXmhhRqFk8fe4TfFsLi/PUgDFDZ74xNCxpDpQlXmopHa5dXmKgEqlbzxPLmMkertLERG sZi4F8G0bKXNxrMR3auiWgT+NlzM8V1KGo1rU2kgnG6j7jm8A1KOxq/m5mHdlQoS6yQyHYt65hec ysfldGILb3LEjD5WE1xigCrqv1fpo6SI8aP4Tq1fIr3WB+WnzvtbFd7dRdRTE6dotWnTl3XSVhNW vE5UDdUG4ssTUpfdVAV6BdPhGIp1B7R0cXFOV1fX9MYbD3gOXrw8YWkdcbSSow+ahCnz1dqjXLed M+Te3g43PpmMaTBAldYurZYz2tme1MTenPSES4MhtUS1LLRkJrTcQ/XlQHRC4jRBYeL3Sdpm8dLl Nc44dN78clkVu85HJDHxC/NzB3aJircznqs0V3hO3tjkSjm64GRAlgQDgR8w3u7Va0sUXJiIuhyU DieoeZwY/EM3OodX8JzqpjFpoLkZ+ZzXcCUSmY9EcQfZY7N6Fo3aEqTBunrzupcci6ZEfKKGdmFU cGl7RDIIUQbSxXaIZN0eqhEtQ6R8P5lgS1YUIZjNGS+UYhXe3aVlfjbFORrGwWEzNa2urrKrj1tT uyrtKdykt0pR2pJevTqh09MTGo3H9MUXTzi/2xknDd1iggWGf311za4e4zEypBYhH9bGeIq7Zzwe 08E+0HuU8JkRNJXJWBLLpS4b6SKlkyXcQkptvXr5zGU+ReEGkU6wqPACvn37gSde6lmNBYSFSa12 0p7EMOE4c8rhtSlxNlvhIM11aOUwEPeFT+bPmRidjo5IAGvZkXvDq3JvtGZs4VIGHrdqhefKGqvl 6ioiwSNLOurzEog7zxH6WrrQB91YvoPmkLlYNiF0KdDqiI7bkMxJ3cFXvFDOVSiSGcA/uV/yk+cz i/42xCr0M3iCx1Y3ZxCBywmy8qu1N6ruYoB1j3a7lchslabdEwHoGRVVJQ5MJOLrcn5JdYk5XDKP 2q4d480hLJ1zsQ7j3LSHWcmfsplTYR2SV3r+eQuYUo/4+uLikgkU0vt8+JtHdHp6SsPBkE5OTrjV +WLOBAuPbG9vccu19DKbDEqvra0J/0Ok+3Ix8456qW7bdukcgADNZlP69a/+gabTS5pMtmmytcPi IcD8+WJGR0d3uV2WoBDFzWokxGNxcDQ9jTi5VuBIwVA7xXZ8TZYRVXUgFcIaIqEd4iiK5PocwMml wc1Bbbk0NMRLNe5ztIEx+oKebkx2B3mEih3sZB40JkvCGCQWkSUKxgJSvy8EV4c58uZ8I2EoIRJQ GEUaVA0JfdAxzntLFvX7vb7EgqkE4QKGg0NpcCH4p7oiopVVWUofA8oAthJiSIcolOLvs/KwQhb6 ZV6tbrKOR1ZfI/lKbjRUYAY+KeFd8b6xzKuItoE9Z+nWDrQlXq92YiUQA7acZfLCgB2zlAf4hxaX kXPhxuSiMrjkAocdyZtBG8A/BMaAaxRSIEt17adPn/GehVV6OIRkNWdihVxwR4eHBtQg6vky2C0H LGtdM59pICSXB+L8WZtJKwrwYvNI3BexeIjP9vYOaDLZ4RQnxWxKO7v73OnFYsYEjHMFcQ3Buve1 DwNyUo8dw7qeNWFn2FyYRISo4P2YfKjDHDfV1QKcIfWsqquBeAadSFWok5PnrJZgAbUYAgjD9s4u nZy8oKPjuzRy2QMCiNHed6iEyL+N+9EnWGPteEJhTZ0r1yfLpw0mYs3SHstJ1hCf8zqxH2OGFDnV 0ZopWiC0175C62G8Oc1O50FcY7R8iz3atjX93RbBdSTXU7Z6xZraZeqEWpiDJWRXeSqkLw4kXf7G xMYQoMTjueIUFqdM5rWRR9s50uBr9zuyPuh3+ARnEzF9bNF3KXhYcHB1BNW9AY8v5tjLWtJPQHgw AdAGSJCz2YIuLi/Z6Xxvd4/efOOBy2QK677AHNFZda4NSG2Fq/foky+o1y3o+PiQ1bzcYNJDbD/H 76IGQjWc09U1PMCJxuOt9VKW0fGn10hZe06/960f+IXC90hlO59PaTIe02J+5eKw2lU4fSOHfjAA L/3wfi4Ni9ZGsAEM8mL2XVJDd+z6vZEr760cWPU9k9Pa4RMUcdeSnn/5mK6uLnwUATYFCPbFxSk9 ffI5jUdbNOjDw1wkJv+OzHHiz9SvzR0vld58nwwRTfBvd8XbPZCW+iVqXlARsJHVzB3faFYlZQbG Cl3ryWta5n0rZihMTGxecBhPKgT1I3ZyxnGTPQZ2w6R4YuwG4dXd3B7ZAC+y66P7UTIRqAOypHPS WJ1FOeX3T4Z7MQZMXrT1ar5CB2EuwxxsMoesNTgXI82jxWcSzBnuS70ejTnTbSeS3HC2OOKDi08E FReYtvhTgaiVNJ8hj54QJXw2nS5oPlvSYoB3Cv2QpAjyt2hFavlWmuOLUJDTI3dqBGuda4JuAByo wRBOpEOnlixc8Yp8CTD7bBSsaqrv6o6bTFAxZsRSGMzR+NiagddxanAvDqHxHN6WJwrjaSOsyEwh jwQPdzkYolpAvUqJnpW2cvOHf4dHt2k4Got1k4VF4XJQB49v3/e5mYKBQavgxgdfU3CwxOriPDGf K1ZbBdSVQxfXkI5b0lElHNkLhgl2YS1kRjIzkE/w5vaEMm4Lzp3sbZ6d9ZvLYGm3uc6BkYxiEzx8 x8BoEWaFIsLATZM0QRFLaO/aJtY4bw5w+dAhnXim4tpYlXNaEqSZJXXYxYKRKkPWK8GI7JpkXqvr sR6SrtivT7IJw2giCSVRCAXntz+QmL84LEt2P8MfiH6BdyDboVjB5t+VWUNalAwvkq4G8sZwCIYP I5pYuhGEDleG4dAZHyxjxlwRKv04gnV8fExPn7QXMagtTOazLpw2XMAnFh1APIA7CeRsnzVMxmgE 9cpUjMXSzGf8PTCYOSrEzITriMOZHMporQzXVlUnUH5MmCRjK4qADXlsYTal1cunVGztUmf3wPeZ 8w8tkT9JAsDFA9chMcCasFCc796BzclhTgkZ2oLn+PnZKR0d36LhaCsxSihmhM0yChKlLzSgqWXN BobYjXoWKcHsSq4pdc71h0qFQG+piy/VYH0phDWe+QGo95CLIX4hkV6khtbfSP/UV8qUIBmDGWL/ 4cACbmCze7dXS4wjc1IvlIsrmpeGuYI0ItuzE/kroUX2Kgeg3Idj8JIWK5dmhgucSr8vLy84bAmZ JdiywkaqlaSasTaNqF/83xpFY3hjLjUFQDBwQYpiXzvXUNkBluWSHmA23H1eWHEqsXizw6WlFPdf DiHSWqpyL/aeqHtw7IZWskXlZOxqRoiRDkIFJC+UILO9Rf8AcQxdlpAeDg+sWQCM2xa6CdtJ/8Z9 6AiCormctTO1NxItR72xEBqug0lbXZzS8jd/h11F9M63qZye0+rnf0HV+Sta7d6n4v5bVB7domIw Sleo0ZEbHE0lQM/9VSSGdfJXf0vF7YecwrnDaoNWpAE3FAug1mTDpQC7nYNIVUrBV+fkibmG6geJ Ni5xn0gxLjFaTIg8tYlQG9b9/TjVt0f0f3BLbHJdR01RUlvH+tL4eQol2iwGlpMoNOupPSsx0bav bSJVv42l0DYeeEdG7WdGiznqMj4JosVxjJwWOu6j/bn2yux1sWpLOazSSzLAZBf04Ycf03g8ErWo XNBsMWMiD+l7a3TOzP/58xdcbARnVRIQgMjO6b333qOhT+ccp0p2ndEJEMLg8DBGvsCAS2QUVkOR qnziKMyGJjXBuM1gpR/BOTFXoh4yYXPDl9Q++mohZIMBrLOBFoCIabZWKQMoAoFkNpEIANYQOB+9 SJU9UO6D/T0hEgh8TSLyX3fjQJyEWiiWsJAAP7OSVJ6/pPLsFVV7d2nVGfPglrNrugIRAZG4c0nd +RUtPvwpzb/4hBa3vkKjy1PqVN+k7v13cjumpvb41BZV4HRwBOUuoHjpcklTfD5f0AjhBcgn7dQt cAsNzEUSuwAMJulLMupNeiC52MFwQAcHB/65wLXCaRbJBZtLra6iFsTtN6S3VTW7coU/nIuCxx81 ns3WL3E7MLdEaAPJ2djU7e7zAa2Z2a9/0Sw9ydib99im1ub0stpS9u2JdCluICY2TjHAbNs47PAf IVOPT4H4VLqybjii3qh1kPf5ckXPnj131jlZ6wX8w1aSOJGqp3R5dckuANvbqOzTkyKjPfws6f79 B36/e0tdQwpx/R5fSYk5zXkWCFWwhroS8wY/NYJ9tGZQ6WROFrxH0HdJ9x0CmPETOLyA+7KveW8a potq0gvGuqQ/aBdqe8DEiHp3795mYiJi4oIlHVDBpiDXeM1zkxIWDAAeiJZkdwgJ7O1VrhY0f/wx zT/+R+p+9z+iFcTHTkWr0Ygu3/4el7PaYdNzQbNqQBfVhBazFa2+fEwdYEB3IBEhWT0ScF9TdXUu EzzZoWI49nF1mETJIy1lt6XOovSHi9Me3aKL4odSSXk0Yk4mHFDqsWnaFRujWJuP7Cf1LV8jahlT jlYLYT2LN00Omg7cPPpcMaNCE771JAODq2MIrgowIRSBVW4ppmef6litbMotPRGIXSD8S72zqGqx 7hB71US7FlcY9ibJdJ42sDZnHvL99l0xfmRpu3owJeebC6Vy/4SBhDz1+hznJGdLtaTA7HJoj5kf Deh3ILTkMBdLoBTJlX5qVZy7d+/Qp59+zsRhMp44/7GChqMhvXj+gu9BfG5RhD5iL+IfhAzJOy/x hfgMriV+3TwEIARHM32CAUkoUj2ziowhWV+/R+ssQKzTOIMrGg27dHU15fxtKDXP2Coze1GB1YVD 5lE3nquerZIVnnFEdwC8y7yuB98H7SDE0xkDzB0WUXObpo3bRdKCu4+LsaLaDvRQNzCFDnHh8Fx1 +nQ12qUJraizmNGg5+KRIAp2Oizyrs5e0NXHH9DyyRNavD2ky69/n6qDh7RzdU1jBGNfXdDqk1/T 6oO/orLoU//bf0jd975NS1dWCMRq2CPqlksq4PLPeBvCQgSE7w+GNByN2BqJOEnlVKIKDVyg9xoi XnOGiWsJ5Oar/qzbFMAoQCixqTIhEEEyyLXp/iVgN/+FsWo+fYvZIrxqsWCPebaCMp4YXsRR9pm1 D/iWsRJawmaxMiPOeY3RhU412d9vKl1FR8pb9uQP/V8sxToMkNVAF4dqCTTGpBTdhxzByLHizCUZ duEkcwn5YUMKq2gibUiNSYEnICDgAD948IBzjkFYgOMk9hrmH0aTJ/tP2ehz//49rp1ooQGdLgn9 Cg66kVTqUyFpMQ5JfQRC0tVMKxvMsSfIDou051x82GBphaM08GhxAeI87Q6/VI2hrDpSLsz1Cyqh b99Z4a+uxQAwGvZrkn8PfhEgIvDXQe4jHGAQLoigOzvbDbsi5HlaB5biVgBm8zmxa4B4f4vPEYOK nS6V+3fpuhxQsSxpR52JYUU7hO8VyPKCZiuiLx/+IX1xa0HD23fpcLRL2x2i/uySrn7yN9T9+z+j i0eP6bpDtHWwQ+XeIXWO3qTRwYEUHKiIrn/593T9t/8b9d78Go2+9yfU3d33JccgON06PuLfGeda wD2jEmNAG6dPVRZ78IzbxubSgqbVgNinCyWHxEq9vs3kXa5TiegecK9YClO1Vj6C1IkLG23VEUnU WthY1Shd6mEdu3s1S22qdvAvapqWJHPahhJH7YePi7vB1aQm1ubY0+3w/vgwqwonifOkknbAD2O2 EELBuB3GL7tGVa9YGF4uJMllSJntCHlnSH2mhZCGZP+XK0j3gvFu72y5Ig1wvB3w7+WgpOPjWzSZ jFxVmY5dvGZhwvjVAYMNflJi0NEUMKsV+taMXYeR61uldJmurzevuC0mOegFI4UqB6FAFwECC2pt HoMww4g2n0XRKdoaBARYBNEm54onYpcKIYZEPeiNXBzReW1j8hSAv7y85hieCFjW3NKGwm6CeWmF D4ivaBPmW2Qtw+39YZ9293c5tId14LKiFyfP6YPHv6Tt8YS+tX+f5h/+Lb188jP6cuc9uv/yUzq6 s017kAc+/oAWf/6v6XHvNnX+4/+OPj2b0mp2Tbe+PKUHP/9LGv3BvyDq78qhHG3Tq/4edcseHaAQ xmpJizlilQb0+MUT+tO//x/p4cFb9MN3/hnt7ezxxKkunl5+3H7TJw5vhlRsRKw8DdCgUalZWHIS fpdFwBCskOq36bCbw+b0IlVTLE9T4x0zEHdQgRmA8wNPUCLGie5a3sUwglMvuH3WLQVHC6pni3Se lRbbidPGhM6HA4GAJpKQM8SoRC1uKrEE5vUB96haiwXgDhb2yp8fgRtcIz5v1Wo1pwLJz51lDcx7 OHTFal3qcMwhpA6xms1pazJ2biqdIOlZhmEcv1WNVWQSn/C+YVAcex2E1GVq5Rxt7ZmCdY7WgR9q fFJpDT9BbBiS4D0HcB2l1YYczTKdYi9qkV5pA3MpXvCSrA/zINZDFEVZ0nYfGp+LJVSgXbNMYryS +ZDoejoVys/YVvfGaqKdAA7vYBPtJS9ox4FpaFerTKNT6PzLRx/Q9MM/p3GnR1f3f5/O9+7QX/dL mi1/QZfLCU2fT+j9w3063L5Fn7/xA7ocH9Hu7Yc02JnT4vyMek9+TsXzT2l2+op6OzsCkB7eope3 vkJFf0DjxYomXCdxRR2NJ1t1qEd9GsBD3OFtTcQmWtAa/hTcKtocYRSUtBQOEonUg1yGkKNSNoW+ q0lik8NlcRwtVWWIm2o3FmDXjx2x6biDB5UE0nYfFZF1nQMVDoN1GKG8QjJ1KFFsCsJJht1wmSiB BH/KGhtUvUw+gxrkYz3d2zC/WgAj1M/D7xJxgXeLlCRSlwGmHGAumItmHJHc6yJ9KmMQSUvmBe3A qsc4qksVxKqlJ47ONWBFtIBLQdERPyiohwElIEuScjsrTVqkDphiIZc+A6aJw76aGEYLM+QBSMdE 0g9t9XpDrgkAy7SqgmgKmWslbXjJeCrmGliajl+83UMOLJ1jJB1ANW604ct8yT9U+ND0IDoBzgV/ DlFIqua0D2Y90UKrPKBiSdP5jH762d/Rr599QH9890d0b3ZGS+rRzsc/pQdPHlN/WdJ0Pqazb/yA Ph5e01uvntDVbEw/6y5ocOc2TW59ky4ffov2DvfZW39/uaT51T6V3Ws6nV7Q5HpGY44R61BvPKH9 t95hDra1vUX9nkh04ADb4x3651//Y9rf2hfg8zUA3/SZJqLS9j3jZvAeVnGZiZCYqhHz1nYZiMi6 W6mnQUQ/Lb2x+bO0DcasuPClHFif9VbLkbu9If0UNUA252ZJEYNKqBhR+HtTBqj9kZ8iJal5XvEa ECUQHvGyhvqvZnT414k1rjTuACBc6kQpxMu16dI/i7zh1FxmKHJofeA7l3LHe8WKqG4rXJiC8VJn wfNRGCz7uXJXih1KskYxCtl9UkTz5401fr7q88bxfo4rInYPBFWMR8HZWS+LIuh7s2vhCLRlR3a9 xVlUzrnMqWhY/f6AP4f3/KqzpHKJeXd9YwIqhNX3hDFvSKsDXhNPsOwmYD8UV1IKpE7FOyyqButq 1ee2DdR0CaA/pqvrKYPKnKX0+pyenjyj6e41zZ5/RtVwh/r9bRodfo2up3P6ctWj0+cvaLWY0avT K5r0B3S4vU97kz0ajid0cOcWFd0lfXb2KX3x8jH71e1RRbeKPm0//5TK40PqHhyxBeL4aJ8nD5V/ RVyWRZmMtuibD7/RaB1NYNUNjuSmV2jLFj/jDeU4sAg27ZhhOu91YtiwLqrSmjzceolLhHOvcPX0 QKCAYyHbZZ74xgHSYYRrXCHs0MwhDEau5nEHtwEczjgJn2vQESlGSaRu4BLSk0nnwo6Y4voCfEU0 Wi3w6rLYOj9Btjg71xC8V+NV0WaQHiT3vR5EPAhJFXteiV7JWTPEN4vVaVhzTYbaprNURaaFnKRp s3QI9QFB7CHTCGfyyCt5zouqVebVpYrWPnq3YE9wASqrwofGSV44EH2XqUN8KzhQXufPpx9XSd9B ITiTWuA2mw9LCJdQfbaSGX1/xlVuQ1bKdfhVCS42n4oD6URAfIi6YpWc0tZoRL//xnfp4fg+3R1t 0/zlF0QHt+lkfJsuLq/p6uQlLU6e0/CL39C3Lwr6x+WE6PZt+g/f/h793q13adYt6ZLO6Ke/+Xv6 xaNf0K+efEiTwZD+5PArdGt8i3qLl1TeuU/V/gE9P31OT86e0tHOMYe9QAQHd8NB9FVtNroMp8s9 Y7meTZpnJAgPf6UHGBywL4uzXE6p4Dp6mrqmaJ1zPdjitb0IHubufqgXzLXN61SFDNw0USkMl9Ui uD4a37zYBwNbc7jh1LbZSB300QBO1WlRo3OfSmgNVC1VLbCmWnWGR+BS8GisnoY6ubl01aE18ym7 4BQ4cOLiwb1iQhckNxmDT6nI/yQiYuUdIqXWoVi5Pezv1oKr23GKGwlsrmdoWHdVbqwC46i0pYSK 1VnnGqCuODV7RItg0dYVPIfYQBAXy6SAsSG7gqrALG26NRH8WgghW0y17iBLe5LhZD6/lvqUDFU4 KZNVxDi8b20CP05NUnW4PDbihMAZUBkYyL3FePITUNHs9AVNP/019bt92vrGH1ABHAuAN9ekgxWg pP2dHdrtdujyl/9Is88eEd19l4oB0c6rJzR+/iGVX/yaji6/oPeLij6a3KOfTKfUf/QBLbf26ePe kv7VX/9r+uD0I9q62qY3x7dpMCqpWF7R82VJ1fY9etAfccK2v/vop/S/f/J/0I/e/hHd2rrDuja8 b9ddbYdIv7cqVeTK4CSYmp+VO9GWp6kzJ2LIkONLIt3DokWEKjRCKXp+enJKJ6dnLiQniP6Hhwe0 t7crzCZ61GBcCV7E4RnYhDoO10/xtg6phEJyRVUJg4WTx9fAuP24rC9QA48P6l/4liUJdzjB0UEf RHqCtOPytjsMBQcBieFYQ+iCyMDHDtZgAXxxk2QCgeQjYSoMahdSXEGnSPyFXL5+WJSBxSyWnLxS 4uMc9ugMD8KY1PHSWSUdbrwOIrDzUmkqaT8/aFj6x6C1qyPJbjqsTgqh2By+scymQbqrKnr27Blj 2yoNYp4xp/DpxIDhhoT54OSEHE4kMZGKGwo4b/LHsb+hx6AciB/SNNnzFZf5SjvpbgKXFZEOviOy +MgWCL8QOIc2coeKaPbBP9Dyr/6U+vt7tLz9NvVuHdPs8ac0v7ok2jugaohUqFyjmmanL6k6f0r7 OxO6tb1H80/+PZ1//jN6Mu/TX/Xu0HC+pMP9Q/rG2ed054O/peV8SrPDCd2vrui//U/+e3rj4Jj6 X35Cl48+oBeP/pbOZ49ptv1Duupv0XhV0g+/8gO6u3WPjg9vcwoXSBzWmdAulJ2oNu6XLmuq3Cko mdP1bRsqhUklF6Ju0eckc80vzlWUES777PlLxgsQJye3igrE4R3bUIUDkVb/HbU2eWlQqyU7TBMb UPIUwbdGMEH4DEG9L7z5vKKiO6CePygSrB1kknjMAlCbqjoGJ4sm1ILYfCjtNIASSU52tvAVCDWR SsQ8R6DNFXKDoaQ6ai3OvIuASAlireK0Kd2KRkNxsg2uDcGXC1hKtwvzupVcxbG4XJ2zxbDbGzGT 55QxnH5FPcVdkkNI9O5Za0SpL29d/S8sAOmkKfZ14lAaCW9rdcFZczn+4nlf7pL99YL29vZF3XVE BBL9xx9/Qvfu3RPXhEGPRoNQZYldKly9BcakII06/zesHUrQl3D85nGD0ULychbqnISVw0C8G4PB t4ZDLNDK6fMVnV9cCheLfF0QgtKTGMX3v02fLip6+eqEHpyc0js7WzT7v/8tTf/xr6kabVHvR/8Z db/5Q1p1BrR46xv00fMLuvXBL+nX85f0D1/8hiZFRb9fLOkb/R692H+D7r38KVVXZ1Tt3KbzRUW3 l1v0X9/9Ee08+4SK//V/oOX+MV1u7dLPDu7Q2Xib/oPdXTo42OUg0a3ODn3t7a+ylcSmo40kDDMf bZbAaJEzVkL9mVbr0bkUy43dHVr2KhCN6iYAv1HFEMKxv3/ElpXz83MmKghyf/78S8Oh3YHwSdVw 6IRba9kpTVjIgD93D6EcWH8wrJd0cnJKe3t7dHx8RE+ffEn7+3tUdUAYFhHOqd7O6AsYHJ7xaozr ixAkl5LZFddwk+XVSmGc6kwoF/ASxNpJNILEBV8tZ07VE+6tVj0cInbBYOxkQOUKER4C8jL04fa7 Wm/FE12ziCAkSyRdSGXAuUCUtKQ8/g3cARUa6rzfVY33WVmT4PVoD7qV8Z/l86SvgJWx+imChDza lPXippdTlyMwP953CCtDvjpkCAWhgtMrcsN9+unHtLuzlZea2QrYp4LxRRdRoVZshwuqG0vwb5OL IQj3t99VEaVv8CnCJcG7EuDMWQO7rhS3KgNwCmUT6oIur1a0LLo029qHoEhHt4/hdEXXEgzz9AAA IABJREFU7/2QHr2YUXH+gg4/+gXtnD6jcuuQOscPaPfJ31F5fkyfDK7oBNUz9h/S08k+Dboj2nv2 G3o13KPL3iFV3S0aTO5Sf+8BdZ4+ot5H/5aml6fUPXpAy9vv0PJyTBfTUzpdnPFGnD9/RsOj29SF KhtQhcYr56oQzcc6Z9A1hT0Uc0g5rAdLtfqxa0vN+yBMUgk3YBeaxlisMqHEPDYTNtXFxQWL5/PZ nBOnLRaqJkoohJUiVcrjMCoH4ijGhJz9DFgvFvTy5SuumAQwFGrm6ek570/NbaR+OVz2qS/OyJDI Hr71kMaTLXOIhVhUXKbd+SGxVCQWSvaN4r4hCk/niDPZS2oSuKUgsJaflWpFngG4LAnwf9K8UbxL nfuCms0F94l9jlJiIfF7fe7T1eU5za4veX6QUQMxqZCcAhMIKWCCqiOqdRqeFq9/XKgi3XOlczvi uFaXMiitZp5vN99e8+X2Rq4NBztwTOwAoXcoJHHBqvj29iTKtptj1Ppu7bfOuYQHCvwhcY4hfbYl fq0YVjSx8kH0nRIuBVzF1wQpOmSDSa4jeKwf0sFByWmEl1dntPjop7TcPaZXvR2aoT5hNaAR4hif f06rwzeIXr6k97cP6PfefpcmZUnXX35Gn02n9LWdQyrml1RdXNHFzoT6gx3avb6i5Re/oZPzS3p8 /9u0d/wu7Rw/oL3+kn756Uf0Z7/6n6j38jP61nJG3T/6L6l7cMtNaHtVn1Zpc8Pn7CUSRDCdMwaE Q+3VxdgZV1TJuJyTl8z837ImLtuVu7dD+3s7dHlxRtPpNRMLMZZM6ejoMA7eNrXlRC0Ua6FsLCVi cljFgqMHZsVOvkdHB6wqQrpBSBO+Q2A39oRG2mt2CqiTkpRR1AeVPNlpgyUryZqg1sqA9wRu7WFu l3sdLgKiyWKvIZhdiGWYC/XjCR7f3tgBlc3IserrZOfb/eWAesG5rq/OaXp9QcsFCLFESYikA6k9 jrm0e8ev99rkAkFo8PPg7ls6RsQSolHrgyFAexOPwcMbjbszFUuaGTI+H44G9OrkFRNwBGgjrhJE fHsbFcLnPnqk6S2+AI1jVlLOS5icMMokn7xx66iV+fKac4sZ2b7UdoN9TivBhcDZ0MSr01f07PxL Go4HdDDdpc7siq6/+Jh23/4erY7vUWcwpHm/oPLsKc0+/H/oZ8WYvnP1gt47HdP8focuZ69o8ejn tHW9omlvj3bOnlHn4poWO3epXM6p//JL6szO6PO736DZO9+l3dt3qRiNaH46o+kKPlhdmq9WNKUu 9eYL2gIw67I0rLu4SOvZCZWPf0Ode+9Qd+eATbE3ufTg2vkL9QTVxKxgaixChyIKIWhVQFWXg8jf HogLrl5vl6rqlH9HWAfahTqEUCf1v1HfK7HgOdXPYTNecnPEScYwZ4K2ZKtUh/b39zmfv+RVgp2s 56MWwH2hqmn2DxQqAZGCmgjckys8u9xpQjcl7CjGX0JaIiZ0Wsi2huOIWieFL+ouKaJ1WDUY8+qI lsu44NWxNYaV2fSKri7PWMIUrEdUQe4rpKyWhAGIJJEYzXDONrn4LHHsoqyZWu9z1+urhA0Ae4KX qcS7t7vLRh0UTEXUimCVJY3HqJiVL/1V66uTmoNSZ1MXWSOV0phEwooovaNaFvZrtTS4QSnlxwAA zmOTfvLFI/rJJz+hw+MDurtzly2Ozw/fod5oSLduH9JovE3V2Qu6/PwZffHqKX3aH9C3VlOavviS nv3iJ/Ti7DHtfPQBvd/r06vTJfUGKw5SXtCUlufPiRbndDbaoxd33qOHnRl1Xj2iR9cFfXb2Gd3e ukV//NY/p/cefoUuzq9oMNiiSUuoTW2x4AR48pwuf/J/0bg3puF420siepfFRvUAqk2ILSjm4LLF FZIA5kozP7j7a32x+JnxSm9eB8tIOowziAuC5DuS5GzqO6QVc7Tzpoag2zDq2yT/QgUejhEEPtnv 087OlhxclCifSxhFz0UvyOGS4hfqrJibd2nXJBg0+zVoUzbIOPYDUotS05ywdIgxRCC2IXpRaa2K VWYEgcMrW4qKyGFBH6fXV5yuGx0AMM///IGG9BPG6GfWVc4OKqm1wrVBCpZYiTLcY4vx+iwqtaaS wiGbXP4+kwRAnGELxqtg+QPhxp6GdCnMRkD1nHuMayriCWm+4FC1yDyTeI1x5ed6R5PbGs5IdXkq qU8GIypMoVIN+OSUHdWSZuWUlgWqqmAwHfp8ckCfffZLerczpa8/eJcOFmdUTc+peOOH9PZgSi+L V3Ra9Olg/oJun5xRpxgwJe9enFAxHNFqtE1b5ZTmZ0/oYlHSs842bV0/I/r8l/TFi0f0s+M96j78 Cv3gne/TNx9+hYbbOzSfr2hreyIqbCYTaM5CymL4cEIvx8e0i5w/szl1XaEFTdivZm9cou5pXJqa lyWuLBAnt9nXpO/xuKx3Gk0PV3CNSPutH2G+UY1ZxyeHJ3Br26b6bAWQWudFCJQcXHEe1rS3SoR4 o8FCV2ErwJImHt8cquKlxKajoviR84lyWKgCsD5ANlW1GicuzgyhISCxKQQEMMTF6jwDY3ry9Blb wA+PDjiOTyMz4Mqz4kIIIs3hwMJfjm1a7IiKlODiPxd116mDsPh6MN/0JZUYdS6EYZRMsNjQsAaG qAxGlGNqXrW8AdHiepc8NnE7gOGKffEWyJCKug2SrdXDFO5Ffu+m7zdCkALudk0506sxLojmID91 TL1ms2oildVU7ZJm//7fEI2PqP/V71L3+G70tXC+kv7o+z+iP/z9f+bbvJ5d0yW9oj9/9H/Snz55 SX/04Ef0x6Ov035/n/Zu3aeff/yXNH32JR3eeY8GZZ92+13q7G7TP7wo6M3pnLrjbfri8H0qBj3a v3pCty9f0V5Z0emzH9Pfd5e023tAPzr4Dr1z9+t0d3hAxaun1N3bo9u3DryPDIwFEuytwxPwOfLz cRzuinr05Pg9ms8rKq6vaQuBo70+DRkviYmOPg+g+enTLzlPtWINXFWmkNJot25JVgi1EqYbKBAL l+zNT7lzvPOl0QKBlPMH1cRgJIoBu8OgflWFid/00hUcGL3PViBeYgnDoZXvOt2B9+5WDAdtIeHi yhEXAc7BrKTsGPrI+ZsyzrlyODPSrTqj2tnRcbSpVNlKy+4JH1akKacllEhqE8ohQZYSsXh9Ts+f P+fDirGgPh7wGlhcGY/rduitt96kd95+20sYMpaAB+E3CfmBddU57Jr1jrAn5+emWJXOGVKxKF8q MpTGGscihTpRr61byaZEC/uYMSaE1Wh9BhhzlpKy2OeGc/+142nz/zICbcb4ZUO3QzFWrY7lYwnz 4F8MsusEqc5/dfgWdbf3qYA5NwHpxAyMDS0xUxJoWtKoP6B/8a0/oh998w/ow89/Q3/xyV/Qv3r6 Y/rO4XfpB/t79JRe0d7BDn2td00H8xPx0RrsUXkwor9DauSvfJ16x7dpNL+k4ZdT6s9e0lXZpw+3 36enoz3q7j1gNXr6i5/Sq0GHqjfeoU+vr+g3Lz+kHzz8Id06uMMSIKxnr05OOIXOreNjTlmMfNLq eavm/cGgQ++8dY+2tyZs3er3R3XgtAYodhirgQUJBwBSyfbOtksdDec5cC1RuSI/r9TNQufeva/T K6gPn6OMZBUwLFu0IriZhCcC12IUQfEsW0vRWzBheRMwWRz8oKIsWVrwUmOkwsb9hvorhR6wyVc0 Y0dCzT5rx1fPdOolBR2X8zzNCZX1ebCGEovJiqqqaVLU6ABUXok/pJkXL16wXxbcNJCLCgQLe0SS 3nVoZ3eXidrO9q57RqXNcLBw8TojjlHnSglp6KzMnwsVYmmWA6ol17m13KovWrFGyqp91iBttV0Y E5LwYY3hmmTXGXMgTqnJHnWdZM0iqXAd9yfeKrbQR43BRO0nGFa+cVtGPE0TUtDy+C1auDSq/URB ZY9tp/+LBADOMaOPn35C//Kv/yX95w//C3r/za/RWw/epEePP6GPnnxKf/bRv6P/5nv/FX3y7/4N PXl1RqvONh0Prqh/+ZyOaEEf9d+k4WiHtpEUcDCgz8tv0KP+He7V8OCYHsBhrTug5Re/oPmrT+np /i36aHyfPv7iL+nnr35GW/Nd+sX0V7S9LVjUy1cvaXdnl379qw/pG9/4Kt25c8upAOI1LNH6UphU 0t4AfMYGliBOdSHwG99JQVy/ENWw+0P6+c9/zpa5N998k6UrVbdEOlMOZXlfuqVUCtPMC0F7sIxG 1Q3dPYopRITLYEBeLVHpzIHHMU7k8CyWQLus3jMWx2lQDG7kpDhVSZTYKCyA3/s9yU/PEiED0Jlw lNomNx6MLnwgHN76fvU+bMaqi2gGRA6IdAr/JeRhktxV2jYsnWdnF3R2dskB9Pfu3uLxQRpHRSm4 gyBKAPPQ55i/oBIPBiPGVHt4R7xqTk0Sy5e3+iUl7PEb1+xz1k212HrLXmKZX4sn/xaXFHxAAQzJ Fqw5/LULDGFCym6qPcrzDw2g7sVfuxKfR0694xxJzU2+Hb2dy3z5XZCharp9c1R5tAerEyxQoSS7 vbBBAnArKtH2eJveGb1Ld/fv0OH+AfV7t2lAAzq7OKeLixN66/hN+mJ+QmfPXtHV3j16vHWXroZ3 ORRoNDyki/mS6PKaetWSyumU5sWAytE27U926DaKhr56RovBhJ4dvUPl3hGt+lu0Xy7pK5Ov0eJq QcPekHNm4yBBxAf4XSFh4eUV7c8XNBhIjJS6Anz85BH9Lx/+z/THD/+E3r//Pu1swQLn0vA4nCgi OZ2KOivh2JCuYE1TQwTSiyCOksFoXww5sg3WNqlxjautjf1p75cA17y65TeB/MrvdEa4gGn57+Qz TeUr73OOksl+EedPTRSX8UHDIef89MLBVVpRi2X0TkeVFctKN5+0Xyda+rcyVB4riCuCcCvnee5v UiIoUgGyfyLQfnd3m0ZjhNgIQYYKKFKURHRwgVDfH+B7sG7KnHBaX8fYNQuEfB9wqkCs5CMtGBGC nhspMYWx2a+a8/o3hteYKRWpSaR+fCZQgRBku4beFWcNlpa23zQUMD+RKrFJcV6WjINzHKFhzunV u7y6EvDMe5YGb+vayyx0iaTyXXj3DnzuqPCdy6jocllrAn5azGnv6pL+09vfp3tHD9iRcDqb0mfn n9Gj60f07u67VMxn9Lw7oNGgS+fLl/TljOh0eJf2+9sSDDyb0dHiKX0+fUbPry5o3N+jSe8hLacz WhaX9M7lYxrtvkHzrXdpcHBAX7tzi4kDOCU23/bWlksXIv5BCoZDJRyN4PimebDg3VzRELUW5xXK aDAXhfma50rN5anjHvxUBn2u8wg/k3fffYu5u+I6EhYSz+nv4mrkZom1t/a18edqvlx6W7XmNYns TQyVqZQrfoCDaRK22dQ2YTDp4JQgOnKqVi9jlbVqsuamsuZGqGYcJ6jd4fJVImni/cgse3wk0Rma Cw6X5GiS/jKBZToXVFXFFQtXzy/CQV2aHjMI/uctf27caXByk+RZRdJ0hinYqdtACoN2oIxXag/m rbneFYcZtJQea7t833JcxfVTrOeucCxrMI5YWTU4c/UAIILrO2NS4GqWUzExUt1czPoAVP/m0V/T znCH3r79Nu0Dy2IzsjWJu03pVMLy6pJWH/0j3R/v0sCl6oA4fnJ1SleLS3p3cpvoF39D48sl0f49 +n9Je9NeybLsOmzHPLz55VyVNU89k01KZEtkm5RtkrZhCwJkwLANCIalrwYM/x1/EvzJgGFIHwyJ JmTBNtgSyTbJJtld3dVd1V1zZlYO7+UbYo4w1lp7n3PujYiXWc1byMp88SJu3HvuOfvsvfbaaz+c n9mHo4f25Ozc5hc65wvDpb3RvLTT5WN7sFzZwfC63RtdWGvUsevHe3a9ObZFd2aT7tT6vam9cNix V26+QtFAsLKRtYP7zb5/vmtqcEPqNod3MC6vv/iG/aPlP7I71+8wlCz7LK49ishktNtkf+OIyRnM 7+c9vozbX3lvgsMCss7XurY7FthWZYIUoGjEeEFaTNmd2hGLpXRg+PqGSYvNoo0SF3K8pJQAueDE rK9fTxEHJkNVzNW0KfpbK+J0RUsrb9bCHGF0b4kmoTs7A+v19iphV7TBIuEX6rjkeyGpoNKSMORa eAjrpO7pN56ws7ClYfTDq1Khu7Svcg7vlz9Wtce27T2RqKEEMcP1QiF1w6FuU0i0wMMMJYzN18rv Dchx21FCCHQM1PCFv9qweZVzqE3dGr+Ber5KO1U1KxOpZrhzf/TuH9n17g0bdAZ2sHPglhjZN1TC z1Icr0oKZT9Go0sWhK6mULJEsWnfvnXzG3Z3eWQvLqY2//f/2r766Kl9/8Wv2L3uLbuY3rP7X/zc fvLDn9vOzq6d9Eb27b2hHVw/tt2dfbPWyP7N9D17ufGm/f23/wu79/Ch/eXDn9nFF39te5e7Nu1c 2psvvm6Hh/vFfYSaYUFW46BUwd9o8PrOa+84K72Gu/hOu8WRTw+wLKbN7Te2u9ab3P7yd9uwDEWY xfXUQZUtZRzlDA8vpsw+4f9ksXtmqJ4kSJ8r+Tc+NmW6u/w+nINNNE1F1XhfeDDx9rhXgfKeeHCD F1iPvhOhhdQWgu8W6rhxDU1Uca+Q9PB+AoXShJQ4y/H3j2KBemcZGC00+mRZCqBfht56ouj8xPkE g5U04V1ChV13hC/SWBGvcnG+6lNe886eGXqttjS33YJ3hZFSxYUUFpDxvup7wrDDYK2Ke992pGfi cENlDhQHVUjcO6XaQ9Re1rDzpHLhv20jI3Lz1g0vCI7b5ceSq61arrCeOgV2sf/qm/81Dc61/WNv 5RXAr7wKeGUCmHmJttw/tMuvfddOT07s1nxph2hB3WrY7X7XrvebNr133z7duWkPjr9ureHAHn3y Q7t3/p51d5/a3rHZw08/tTcmu/bid160w2tv2Oftvj1antrXjo7sf/qH/6NdP75uP/7gfWpjffjp x/a1N75qLxy8kB9YCIT5ZBYAXnZE3vzgQhBuPTNSM161o2pQnm10rjz/htc2hQ7J01n7YPG2AqSv Tqb6J6MkpsS4cqq53PlC6rosWt12lJeN3Z0YEYxMrYoggPMwwmu/WztyHaYsUPZyqBLAMiVctydV 6D1JNVRJkDDEOVyLcciSxa3UjVhGN5qDesMO97DA/5qxOgBNXuB56XMwVNvoMLrUzZvRtvevqo5w fq22Y+EzkymSQVMaKmQ5t5qp4rkqZMSmYTZbjK3T6hXw0aYnkOfWxsxv+gqVUqFnwXg8th3WlyIZ krbznGxKnzZrX7t+TP2aTYJ8OCJ2LQHBeM/br72VdqmyWQOBvAZ2k1mW+vUdazjo2u7wFlnSGLjZ wwe2+Mt/a6tPfmJPf+2/tIffuGOfPPzIjg8P7A9u3bTOvRfs7Kd/Zv9y+L79+StHdt69a3989zv2 1utftbvXj+1rh/t2585tu3HtOgfy7s0X7LWvvmKTo0t7443X7dtv/V1SCKC/tXr3T0DFZpnN8vgG 2fiYTBDkr0+UdWNxtfRvHfzM41YFU6s44Hrx8zOzKxuO/P7s+ax5feHxbLjuYE4mB6nwlEK0TllE vZ4yx5X7lRZ9q0Podu17t90Xca2UocwjpLde5YHGEs2BrxYB6DSifmRYTRpjZf3oojmzy9E5M1+U Zkkh0aZORF7D6fgZ5Gswb2CAwLWbzcDqR8MWvEfE0pCXmSPjjBZYbbWKUznWpmd39Wa0aa5cfeT3 oeIE9Ax8HvQctQV79gGDrvkbDTpUdP58R3jaZRPWQivVN5FeD4C7oCF1aSpTfKXNcbUGZsriBraE HpWQpLgkhJOpJq14XV6Vy4A4/woHjOLB/l7KjhG/2Du00Rt/xx71brNO77Zd2HT0xGaPf2qftWd2 4+6b9rWv/g+2+PR9+9bkC/vtt75r9374Mzv9xZ/YvUdNu/vt79qv3fxVGisA+P/iL/8Feyv+3ju/ b99641e8KHfGluRnzbbNV01roXPIDFlL70jLCnHfkbd4WTH56yHLxkeVeuHFkFZ3uvr4bn3kNeO5 6TN1/Cpa26f17jsth7xMOQYEoJVenMslXyLb+IywNcYhcMF1nK52vcWrJeaS35bvuSQVprsqMoDp G3zyKxyEN+NGtngWCU/ykC0KkZueHVu71nJcHc+SJ6WXsnwv6iKViqdm2AR9PQtgfAVFBzUqHo1G 6XzMOCIk896Azzq2G/xG8fpq7TX1Ppwzgorveh7Dx0z4XEmWX0ZjK+O8uTUYQ/FIjyfPXlnoqBzJ ny03rkLAT278+sWWf1cGo35hWy5U/BvsWvN0rgenX9i/fff/tlePXrVvvvJ1G/aHQLapHDo6mNnx sG+jk0/t8OkX1j+/ZzdfeNn6N1634xffst968RX7zdbcGpOGPTn7Q3v95Bc2PHjHht0DWz28Z9Mn D23+4uvWXDbtxaMX7PVbr9vR8DCRAYF+LG69aZPpxHrdofXQ/42ZCRdgg752tFraICkb96rxq/Jz n2V4Nh1X7ab1CZWwnGd9Tw2glLdQlSzJBMp8T/EdJaidvy97MTkk3DAXogSF45iNYDV5WBiaLRmk 8mbC4CR2enGOuE4ceI4puxt6VCXAkUDgEAz066exKbs9V8Oq8joZ/oGS4iRTpv+xKUcyxd8zSSJ0 zUItomUzYLbU8sqbA/7A89E9yOBG7WYcEOVj5m7rMK0yylNpiSnRRczt0jA+S1Ypzgnaia5dCTdF SmqIIlXEq0+RDHZ+pbjGDQYzefU+R3zukVJTvHdtJCqn2cQLKeNKPvz1HT9zr4KXI4F/xND3H9+3 G70bvPEoM4NsbX93YB+ffm5/+eA921m27eWj1+za9TftYO+m7e3sWH9wzAH/0V/9wI7O7lmvMbBm 55Y1zmZ2/qO/sOajz6x9+1X7u2/+ug26AzvePbbGakFpmv7J59Z6+evWPrhug+WCpDhkDENsLUKM BIx6yhl3xh1hS6p1kwG5Kmz8ZY4vZQy1wmtXU1+KVY+tmhHOnw+gO3AhfWSjL5JeyBnXDZigj3Hw lKr4fO5CXR7VIHpLkVoKu/XeZM7qF1jbhCnc5x2Z616wn7RyHUwK0BOHZLgrh9Lg5brEFvTAIL0M KWBvD0YuVtMB7oK9HlSBkFMmIO4ihPI4ANhj3aDd2iRVFjS2hor5NtkI2FU08LlkrGIMCkJm3F+5 cUVmP/pMpsw/yvFmI3ZQZ4efLzXTYw6tGy16yBy3hbVTRYDCUU9bef3rJqZ7ShlXv6z6MKsv1d+L /yhFgXRz0tM22x/u2Xfe/A27tX/Luu1uKqw8G5/bZ2ef2E8+/Yn95eLMfu3u37HT4V3rX7sGqN4m p/ft2urY9oZ7djm6sHFnzx7t37Dm8JbdabTsctm088nKro2n9tYLb6fmnwuAjBdndvazH9rOtVes Odi13s6QcidVvWjdhQyrc8Z8HGBoy8V4lXtcel/bQ8tNomibcbPnDRk3fk+OBtN7o+FBMTszAlTp kJwZzjnzVxqr2C1rIWpx3vT3Rk9qzaXfcAPP8sA2HRnPqnp1OlT4LV0qaDgJUK7eWxn269Iik1UW zDsXLamHZqMGL2w19UYTPq8wz9XxvLppoO4zsLMpFUz1fKRa4AKOq6Z7SrhuEVPj8/WWe9X+ioos oqJgK3xRGTkNuZIDpXH0jQZCmHP0B1xarw0oaUuG8Tns2KrmhcExQJPVVSh8QEzBG61KFdZy8bPf 9Vr24crvLTdRl1wJrEpazeqwEu+h5MnugX3nnd9IfQ/xEC4uR/aTz96zP3n/T+y4f2i/8dav23ff /h1bzaS188nTD+1n7/3MvvHi1+2br3/Duof79t7xS7aY9ezNa7fs+KXXrTno2/3+HdtdWgLRcXTa XXbgeXBw15bzhX304Kd2uHtst49u2U7fVS8rkyj3XdSQeCFqdALBLpXwPlf+eUamcPPYXW2YvhQH Kz+O2veHr6ElyM1jObdOdxAE73SCoDFkjawC53jOa9HODGPviyjhUEVGMpNKNH/wvpSc2Hxj6TqK i07jUwUK0xwuw+IwGlrMKM2Zk/uEmki2LCuaQ1Tvx428y+oA/1uhJhYazF5C0qppPwHLarex2MTv EzalLkZrWdrSSIbGGc4XmyONgQPN7Rajk7mrJsS4yGtprjVuxe/KGsBtz2vTa8ycexib8TrJGzeX 0Dmb2XQ+4vX3OvAqN2jLPYuHFc+qLEGiEgiyqt6xy5MhmB6EGjyzKtW12pE97xp/op5JK95Hbwmd MlxrCeqiKGNIMixupBhbsxodDwIgacNmjbF1dzr2B9/8fbt+fEzdZ0qwWMs+HX9kT+enNjc0D2ja W6+8bT94/117/PixNRoX1rc5PaaXXnrBXn3tNabJtfhwtKyxd2Tzl79m956e2T//839ubxy9af/p r/xn9s5Lbz8T+I5dDCnr5MIXGAPwjKsId/nZlO7o1RSK6lP4khbLzx1eY3J06Mmqhq5NXlDdp6gZ zfCsUl+70tPa7BGKW7QZQM6BR/lKgFuRvawzo2Pu5QRG8ggdM4phLA1OHursHQREFUYrIKIECRTA cJyDxemrJZn5mMdNiEz6Z2GsQrupDKUjfCIx1j0b6uETm0JDDN2zwmareltoxpA6HmdDHFpYyOTH oTU0t9EY/ROz7pr690Hx9ZnNsDYeuEYYRSkz5NdJY2p2rNtCmZJEHWfLqXWWMIqdiscdCrqNK5yf NGUrWHCGmjT+CKtFAobxjU+t3Vkxh6pHgePEQwpRL2amfHGLsySyHwZOk0TSyQC8MREg89LrKcW7 396z//gb/5H9h1//B3YxvrT/9Y//N/vF/Y/tZHliv/P2f2DfffO79u2Xf5WqCZEen03G9sFP/8zu /Px7dnD+29b8nf/GXnznrY2LBeHhjetHNhy8YP9k+d/Z7nDP7hzeThyfdN9XGK/WxRDgAAAgAElE QVQYVLV38iFzfGI8AZlQkxL3G63Lq0NXO+8vAdI/6yjgyhwKBlDq+ENppGKh4j+FufptBnxDxaGU +NiMNfG3MObYiFDPWXp8BeM74UiF/5f72OVMnj2D9pF5PlUDWt5bKReETB08zPls4vcroBwmUc0P lKWaOaMdlwDljkohblw/xfuAZYXcSu42BAxmk145fka2DrpuZdlPiRutyQJfcTQaDW7SmG9nKM6e zqinjr6AZWa/3FiemRX0kJdY2Yb5CdI0OFjz5dTmi4n1O+i+JP18eebaACIJkOGE2Es3J2sCM4Oh nIF+1ESzEGHMMrzVNb1ZcXRtfcVeVxgpCtR57VFwdHzXK370ot+ZE+3AHAdYJ8A912qp2LjbmdtL xy9Zxwb2ZPLYbgyvWdc7EjT9wnG+h6sv7NPBiX1y/Ka9t/eSffbu9+yDP/+F/dPf+Wd2tHeUDUSQ CPkg2vaNt75OPAATFn+zJKk2eOX9+g+195jNI2vE9uJiN9PL9IEPI1CCrM975Gt49ntrOHh6NToC KQSaMfwJ6kHhrvD/FYkYATEq4iWzP3tHyUOuSRWX1xsSNXF2LegN15hqAgUL4DlsI5yuIWg1TyhC o2jEEXSI2K/z3Wrnj/uNBqSazyJ0dlCRgH5TpVpyktnBswyg3cPehK3IQ1TjUm9pH1ErO8SIVJty Vc+Z/UVm8d69+/Q2or/kcrkk6RNF9VhXGVAP7Klo4fYchqpRwDlKLGz3zugJNtrWgj5WCxpgtWdW SWyso+DSdlNheMwn3Drurdvr2HyOe4GTEdJFGeMKIUfXdM8nLQc0bpg4ToQarrUtnqnQ/XhAmqTx WbVgQpdYfAqKDmD9Jh5N2gkgV4LGltq1fvMrf89Oz89ssZrZoA09cnTngQYTUrwde3z62D569JE9 nJ/YJ8sL+/j+B9a6fGQXO32672lwIcY2urC/+uiv7A9/+q/sv/3WP7HXXnjVusMurwt/luPlWl/F dSylhm343xFYqcdcHrUmOgj5ghT7XyeVJIt20bo3FyoHMR7PfZReS3hB6TkIh1g057ZC4sBHBWRe gu8sMyq/K6syaMEHHysMGzBJlFCo9KUOiseCDXwyIrEyVK2MozcgYNaN0iqbbm/bgnNsLon8JTOd jQDeFaEmn1N4/9HXMGO22DDxJz/L2hgz2RKk1DDwcSU64F0qDPSMZWXPQ8/ABvEzrLjsiWw/CHDP Zvbw0WPb29tPmPFsOrfZ/JyGZRfkay7EBuczwkR40vC+6ue64ouU0bTICl419l4xQIxufZ6qdthL kgpZb/9oQu4yvhfDK+wuGsCC3xltBJ2jkkPC9UtyT4o6T+mbMr/Kv6wSZ5c56hjsqbIwUdvV8AVc yu/mL3WZXTzYVdf2e5Ct0eLG7nI5Uh84NFEAxeH3v/l79vYLb9uN7r7daQ5s96xj19/8NRug/Xxx biyGne6OHbaObcjW9DCwLRbeNhpqygkcAOoKUZ92FXakhZB3j/W5XbL9zZasX4sxkWhffLwsog5s hTsYyzjyZKhvIlcepZwMZ4b3ggswN7UB9+dX0FaKhJAyYkWoqOuy7MnA0NQVBupjUbmuCkHIL1Ug cQclYX4d5c5cP3fFCMbAFB5LbJbxPpXg5BOodZnY6ZFej/doAVXvII9MpN2r+Fx8V7RlE39PXZDl Vbmn4ydpoZ2YY1qlh3rFo+QxHO7Y7u4ey1c6HahJDLTBGYqWnTnv8w50CmrPg9XeVAfmZx0hmR3J lrSKt20U2Ozcf42sZDlH1ZGp3pHK0wzJZsRaqh7Jgy2ECCgIW+/8HBmi4DrUU9YlkfLqwY6wCC2U ImQUi1wV7evLL1Q39W+zJyenbEg5nYqAB6ODiY0OODBYh3sH9p98+/fs0emJnZ+dWnN0Zrs3X7O7 r32D31UekK954/YbttvZs9vXb8stj8nlD5ndjKcS05e0RnE3NewkniNeBXO+cucbcCuScv13MbHD BWKa2heq1FghjgdXuA54fskjrTS1MVc1vBtHFrIXockG5gB+NQOO5fV9MO7pfjwsCbwmJEniXDEJ N5rzxMAvTUF0DvLXi19tzEswJBU8kD2r8l5U8xZvLm23QruMnZV4XbqHevi5aSPy/wVGEzLXCrdd 1YCqsFU4GQfmmGoYwZrPdZrbHiPGGwYK1SgQhFw6VQHeVber9L9uTWut02i7BPjcFjPX2A9p4y1H GPBtZOn6sfRnn+kcGSeQ9LZ7oFvGcbO3V9iZInTeRHJth4WNkC8yTOzQQQA1usRs+KJQA3TuB/Wr KQu7oOBeak0VLny4d2mzVXtxWO1WC/8WgxYdS548ecIGjZB0gVJnBmcb1O86WO7bR08+sntn9+1r N7/O/oXB18icqabtDnf5Z9O1U6633+eOJGH9hjU2ZP0C5EWr7cCvAHVceRTZKy129Q+M+8akyg1B o/FDsTM9B52gmt73RhLeLKK4jNQyLM672liEnbEHOIJTa1h/2TBR2sKL0C4cnYDwSGg+EnGxDBGz jAp3zQQD5FgqgHEVvGbrUsBH68NQIAolVFJNxEZ3IM+Wgp3tm4Uk3KtzvQxvMjcvejOKwrBp0ccm FAz2xIdyZQN+1sMd4mfwsPCHSRBsetszzNrwEBYt6F3F5jqbTdkcY293sPZ+HJGpJW48naZk2KaE VOBW2ig318oG1hTeNbz16AVJeMArDMqxi+ekBtLVuRzvqbgu8IipYhF4eITy64mXtsK0IstXubFc GLthRFNLcxWBzmio8PAoQexhkHax4PkU3tka70WGE0XR2BXwkLCrQHQPHyHWVLx/NLmw905+Yh+e fGRv33iLRgzNLdVM8+pdpTykPDpgFTswgMiU1MHQOVQyKUtihvreq84e/KOrfo97jEzlbIY/U1s+ k7yyaSLxp8JC5u9IGZb0b5VZqI+cXk+LunjMSxilFf7gXVrs5XgQj2MIguc+lzQIs6bhgQrwn87H KP1VRgmLvjaVIh0f3pnuy++nVkuYP5SC2AoOFZgWQ7HCjqsUJ+ahQmIBv+XmVmQoCyxRCaGSwuBD ueEx6fp1zYomjFQAcLJKcJdZZDaOhaHwsKe2KLPRVDflzz//3I6PrzGzjjWHv5FJ23aI3tDjtaO+ drmCjExZRygyN+Z8iB7I2Vwfb0nR5DXcanbXMLI0C2vZ2lwRU9JtkvuUnid+B9sB/f9gAsRc0F6W 3e028JuNsyJkMmqpyEz00g1fXl7y4cJgDCBZEbslu1X64Lh3lSd9tG/KD4i7cKttN25ctw8++NCu X7tmd+/epTjbbDa2vb1BZULdOLpu//ib/9guLkbW76PGS4PeTuoI24/02+J9MIjawVSsjZ/LBzFd rqwLxdArWoNv/I5nHaz+j5pGyDKjJ15OcW8KS4sP57+SEQ0QvtwvCzynWM3x/tJY4S/0/eg0V7aL +RNTr7bRcINjYayapFKRpUimwItACnyxRNJlZb32wNpNbDrZi4ThA3wAgCzTEHJMGLtv3I/mbRhh /Up6TQtboRkrO/tEO7W8QwcFQtGEPNs5CuAJtmcicOkMJLJk8iCCR5gzk4W4cwxpBodBYG6KZpBC Rw8DmdWjdS+8kMqU0LWOKQXTsq9+5S0WTnc6MlTPuxnjs7vtHW7+6LfI7jdteF8TZu2jFR03eDfK KWR2D1ilPQEprHf82XZU5kvRMT3/LmOWHFeSrmrYpT+YBL5XaQ3lm93yBwvZX0XIByOFP3gPeB97 e3tFJ+J0SclQSUVSeSfwNpAtxCSbTi5zWtgnWMivvvTSi/bJJ5/Y+dlj7jD7x3uJgiC+ikC56Xxi f/zR/2vf+/R79k+/+c/s9btvWq/Xv/KBbvpdWH5MCIZE87mNx1My7YvL2/q5+r+f9yjDD4bgaPSw XHF8KZZ3xbmrHkkszAhDYkJF6U0B4odaQWHMMgmzYTNISYGHRDKlEwQIxkaWuHo0HdxlkoX1c5rc yCT1bc8uJ6e2mE9tbm02L6AHX7FLIfRX3NeGxZA2Qs9ARfYO9waaDPk8pG8otFZhu5JHwgilSEqa zRzdkNTRKY9ReQ3CVoWvbiDCet2fGNjS58d55kthkfCs4ImUqy8wr2TA/E+dfYXMIOEJeuFd6Vah eenOzpX4cX0ulgcgFpx34Rsii/0XygpivUih9Tk24o3Aol19PREubrjO9HtvCpKM2gY8OIWE5YBu +FrGlvQ8WJgp3hXkZBlkuBpjPQRS2LGQ8L9zqIihMMRQNgXtsmJSlKlohimrlR0fQ8FUqeKSQQ2j J70jtMw+sq/d+aa1ll179e7rqZHlplh8bSCrI5IHhPE+QrQ5vTd4jvCumBlZ+1jpun65cC4+X35O Pwsr+Pyz+3ot3HjHu+D5oYNLdbQ13mFU2o1uokqUJRbZq80UgDJ8ws9P5w2bwjNurqyzNOu1i0Yk hTGpLApvWgADGzy9UP1EKDhbQotJ2R8ZwPLzpT55nSpRhGrl2CXvS0AxPCt4WWwnxywcPLeSG1iQ Q2fITPa4OeEzCA0Dx8KpI7WvDKBq8oITxO8la12/57xsNW22mNh4dsFngPsM9vdaVFJ2FSruBwYE 14Uj+iRIKSGvreeReFlt8XqI/yLRs4DDMbFWc0ViLNrQxSYdGHHZgftvf6TCp6p9qBu+EhLIL6Wf y3m3gSWmL0B4Aqss11Bqi8kT2HZT0T4pXaJAdfhamFQBukporWNNSNbWAGftPCDH7bgbr9+HdScf hphJywb9hr126zU7Hl6zw31JyRBToUv+7JKZ6h3rKCkb7KQyGlkDu3Ftpy0H9ss+37zLrn82Qi2B xSK4RnYIE1mNG6phbTQEpdGCmuZSrZokcQKDhozRwhru/VRuoNYEotM0u1y0jCgMaBnPMlZpAmbg XpNfCw5Fss1lG8CYq12q8By6USkLDJ5f07EyzzTlSV0tzNb36edmqi/EZijPW8ZJ45BulEwMXJeI kZy/1JVv2aIx5wkRFtEwFBgu2PEwghAmjOQTYYe2WNi4doztbD6xGRqksBZ1g6LCBs9Ic1VYF26B 0YWLGdZpQ8+TgCmPyOImI+kZ3k5b6wleKh4RtMCW4EYWITYidHxb2Sg1zsm3bQLYNx4JcNjsPGz6 bHbD8sJIGKVjWPhfahYRrMP0eYnky8NZCy7zd7teTux+ynLCuAgEwe/gbSErEjcQ0hGSjc8PiEx0 l7PFV0YT1mgAEP/jw221KNAHhjImKSYjYnM8CBYpfymvp/owyL7tCqdbwmgg1ke565fcgTaGoM/+ kDold3qsmQT+gKaeMOKXF2cZF0jYlVQhw6/GIqL8SVHEzEws/x2hVHgppdu+sk70/8OCbuLfufnI 1dcuEjE2CtXO4XPwsLCDN9kJ+/Li0vWqVjYejXiP6OkX8w/hz/HREZM2sbGlh1NchUK70oC58ffY PWlfuZkLMis2SXovvOXQfRd8kfg/5eNyAxxRALw3Fj17n0qoi8K7gnSw5wGTF1uepvw3IpXoViNm vLw0AM7PNgJXH4kXVWlAElSDqItVFJI9R11geHAE2J20itCU5GdXKZFUjiATNFkpnYJ6VJPwvCLh sPVIBIJt4W5+7m2J19XlM5TyB5idL2B91wggPQxSCjmwCxFwbJk1lZFhLRsMQf50viG/QxArsetE 7764adXCaTeuYwrRMHQ+m1mvr/oqNexEtm+9rq8yuFsE8tMYeMsjgJ8YJ0xRliaEnPTawFZ3oWce FXigmkEBCRBCaTBWSGwgFETGNCtglEqNGHeg3ln8P/0XmlbcVOB5aIMI8l8GWsMQcNlZC3wnT+uV CaQcolWFARmaua4RvSbSXFCh0CSs8PCLh/bo8WNmQ8kTWiyIreCAx4NQ5fr1G7zHnV0oaZTX7p2a wxTgBzpkvvuyI47gBXHPcvODIHdiLIXXYI/2OyYAjsJ21z+L+eC4q8jLHVu4Hjt5UQNhpEgmoKYO mVAkhnAeAO0p6Ks92+iexAoLx4ZV2KvkTgXXqU6qWgyQDz6dlMHLYD2OupORv1MeZhzbcC/MO0BB T88uHJwXtwzzEHQjdDZPRdbJC9oMxSTsrnjvMx2HimeZsfQ2PAhS4klIq7UQr3WpXXNrXchMD7+4 kKU60OTrqw5KydWIvyDHytood7WzsdKb4D0h5tZELjABd6ExIXBgpyKvqpCkqBxFrJzwhC2DqKiq ad1e12ajkS3nK1uEi73Ga9nW3HNT3731WLBMb+Nc2DDGY2Fo6sLbstElWpUFsTS+yDcLBt6uwU2u DJ4NxiS8hhCFw3dgkYqgp6gLIVVZEO2UlBVwFXlr8JaqCdKMTTSCUIiaN88oibKAgmMtKCz0vb1d dlHGdeg5t+1ydMnEjRoRqIFpOQ4ZZws4AX9JHiYldOjdq0NNfsZlkkDGL8+HAO/dtCeyY5jtCMdk IKli4MKPCtWR8BlTG0rtr1rW7+wwE6qNOdfB0buDoF4K7dt8hlm872oHJCUlihrRVVo3KjjnJkMc ESTh3DCl7oVqOm/7sqpRxLxTXWLTLkcTbii43mvXrnFjWJNaroNPG2+mil3W0YmqH12s1cKpaO/u 7qzjKWVPteLNlUwEd2zVykXWSQS9jJ1ycFhkigXuQCTpDgIvA5eYz1Tbh7hZrZ8yr6XdUVv4KH6s XodkOSDwP0VHaP+cslUrW9Z2mTTAtfg4jU2tFyiIohdQmJjNrI17W0LSdmbtRZehaNUQxQ75JTyt NbFEhXmYDDdv3lACwnfmeEahCJCfE2R4sIMXWlbRA4/YlRshLiQ0hFXRahUETf/S81g1bIpFBv0s elqo7dq8y6cpA/yLzUzkwXCTtJWNxpekENy5fdPeeP11bow5SybsRvenCgktZC3s4E+R9pK6/Ij7 V6d71DW8cpZUDxY/spaPrG7UVKLzNMIxv97KRppjEHmKSP40bLq4sFUDNauhtpnnYAd1rzCKPrYB pk9czQOeY2zEOn0yQWu9I/NzCc/CMcJlLrDn6+i6TtJqOSVyFrI61aoUjOp3bIwx7PJyxGfanMxI 5Ianj/dD7qX+DDY6gTWOQkRK2iNj/PK8K09QufwirEylOfGtyXWrLUYZCf2EvRwcG4KyIcQWzGK/ +MVqao1ll4JcgRcoBS0FRpqr1CZ7oTIQTN7yiitu8qbWSAEoYnJPU5oZJTnKvMwqfKp8rvp59HVj sLcrA7W0NhtYqIyGbcebkMxpsLX9cNDPrakiPRuh05buvHIYatG6tm33IKrv50ItvDlJlaB6Xx6D FnOLWT3VscHAdFQ6lE4VngOei3SG8BnVu+WZhv93gdUhDF7M7WI1siGq59srSovURefq4zqdoobN rNuTskFW4pAIG8TfVFfaLMpyoqsOnr80zTE/EJJE+KJvdca4h4Io4oYmE3sB8lHlNvS5oUFlKxAY D/gDVH4v5C1HqPw3jD42UqT/UfGxRP8bz0TOlxP+wRB3W33yreIq8Vlm1aczbsqgxqQeiM41y45B LWO25m7p2SAK4oZkCp/hoZUeSnV+VQ15+pmR9GZliDCi8UltDgqJnz49tfPzEcuDoBCB77+4OLez MxBTFZmVlxvYWckciE2G10/qTtGUt/YEQk8rhoNronA6WJpTZiTymwsvIbVMcvebZSCQbHUQNzSI KgMF4iAaTEYD0tziHOfCBMakxA8R8nAHiJZwGwe2Dkrma8TAAR9pNmFEkNYWsFh/mOUglefy+nLr snlmLIoluxPzO6iACMAVBrBpTQiojUZp51zb0dauvoQjsrGtTKjaTpd/l3+j8F3jqyyTkx+99IZK mvCk4BUBd2h4k1wXsMv+sYP1fmH07DCOzZX1GnO7XMxstJyYNSHUNrad/pG16VlUC1vL+0Yxrgx4 LC4U6w6t1/P+dvRyADTnGkTNv9A60/0RtGdHZS8UpmeSjW48MRXeoqQqFAJq8yWMj5MjASnkjLMn foq4hC/7dVFkEuNGm66SFGQ8G8smi9pBtISnCs6VziO8FDynLE/crvAQGW349yXxQPZQrHoWce+x +6kjUcjehDe4YYKtzTd9n3BPdf1ZG6O09h3ZKV6Hker2enZ8rJI7JieQGXUZnZBuLjtHZ2cn5neW dWan7TKZEpBCUR6lprO5DC9lgZOHVTH322LQ2IGFl6S3O34gPkxmKosQ2vBCUNfAwYC5cmd080A4 ANdfrrK2z9SgwHGVcmArMXkxKWUwF5I/ac98MqxP4KuOGR8oagTVhhznZ0FrR8AwXonOz8yuIAOK kGc0sf6gp8mQvJp1ALWA8vL8eMasq3vZGc+Leq6gEhjxtRXTXxjGuRkkexoZi1LKH5+XV6ytyTGu aLW0XNrTmdlovrIJmh+A7GlTazfxXBZrLJhqSKDwVbgMmNMK0yBXjbd1OtHcIAOrGY/JIYEmr2gK 3L+8hCXmVuCxsRjCwLFd/WKe+IFWSuzQy3fRPt5yjR0UmUAidVB0kCdGzyiE/rBxReE8Uke4x1ho 9MbmzKyVQo5JfbMyL7RmVI+pBb9CpyFsLtxFRN2J7477iHsuj62UgfI9jqOleRtHKYGdPPwqboR1 SSmhFEHJ+ERiIrK7jGbQkxKZded1BY4YV+onKWS4q0ZXG0l8NDf5zZ6kG6zAqtJ5c668cnMBYmpv roJ52v0K1moqKtXuBCPXABCP8pmFN2h0OdfYkSMVq6971mOoPBHHQOCySxcakxSMY3abdqHBqw6K E7AcpdrNXUoHZelSdnUjUYHzw/1flYa3eEzZMOVav2o322cbrQ23nKgXsSOzPg0eiYcdwBej+3Zy rTMEHSikNQIkLlQo2sStsHC61muh4UDXWjRWpXe67XkESBoddOTF6TtFxJSMcB1TybhRbFhSb9Vn eA73IjVnumq35YJzUfhOX6jYhGXnlBQqw6/0stcaig0PT0KdoGmYaHQQDjZYOkJFDRJkhWGpxMdl wR2zBbQRZN1IYiCcK58nw17nd4EbhnHGuPP+GKpWJZw2bmyNZ04dHsK7YpOtYnUZMagVI8fYFDkK HBLsi6AvMpHC1Gjw0XtxjFAe3qWkb1IGs6I/79UK1asofirb01Vvkk0oSuMaIV79RCk2TeyW8pfF KwVQHztLCLvZsmmzqTSQog9b3FA8mEhp5mlVvan6M8rXjoUhfkvsJigmVhPJzcWa8Xkw2duYJGvm YZ2JXn4nvgMAJLOSzrgjRrPR4NaU+dMW8yWM86bDvSUaAIin+X6ChdTkwgN7TN4gQo+E2YUnDLJj I6fW9yA0hzQ8fI1mz/a6LesCv9oUipTyKL7ram9T+7fYZFMYRO6SNhh3wl3MLhvRDJVrbuD3SjTA Qw8dL2wk3YK2oJBHwxFZQ5oGEiPVir5ti7nkS5K34t5HEETVvRodiPu5EQP3XJUABXBND4wOlzKv GPNgqJPmw/PkjGU2ODkJoDpbrxZpS4f9WRtreTyLlhMHcM3ov7mOjukocdfkbRVZ/7AbKTMf2JuH uOyjgDpO1j8q0gkPTSoQbj08PBYM4Bhm8rQK7X3P+iav2iMAGslsxFzmI+6kBgB6lz7uLmBSa7cq Ry+/L+qyALBFypkZDnYckXRwGozk+kU26Opmj/WNRfNXnpBKJrTrogEls4/PMlgueTz0GrztX1yO RfkyMLge074sAsaD2iDnoUdWVOVneOq5j5zlLD0Reb2rBlLNMFRRB4pFjsXp4DoXG3ZCaZUp7JK+ VBB9U1IFOykIkoiIW5CUjrFy7Ke4p+pY5u475EMVPl0cGZ9Sr74qdUaTNc4uz1mMc/GNlNUrx1He Skj1pAtJEx6YmciqasTBBBB1y9V/RWENwkl4o7o5JVeiPVZ5PmQXV7bwwmGFQNh8gygrwD/Kk3BI Zy2fK+gadHgYjYOgvF39ICgidYpCoyxE3rQu0vvk1ZQNHrYnBrNHV53tudA7HBF5lVk8kCEsyvba bZst5jYdi7soBZhMuK43pYnx4D2SL+ceKGxM4XWrrA8GK5QZt4QyVQ+jaQ0vpJK6YuayCC+pTk4U gIrMJxUE/GY42EsDEYB//o6iYr9SEFtPApR0gGhJJH11ZGjEsG7ZquX9EbeEhQHjBrRXT9Jsy/Rt es4sMIUY4GxmreUyFy+X4XZxmgh7nsuvr3xXbVzSyOkFAvJLSb/IMUFplFcxuIJreEJNQJjwemi0 clg+WcjAdesdaYqFkccsvGKFDLFrlqFwZUzda42Jmi9e3yBvBxuiNh927PbWVcAYoeiBQ9pr0ocK Fdv0nXF+j2tQSoPnkYQS2Z6mfBZYSPiYd3R2mk7IqoQRwn/T8ZhZ6IG30SrnLqW3Iczohfy5e030 OnDPio8Km1qA78XcvvK5ryoGLI1jvRO5jwMy8FHjGc+vnDH1ypbyCVc2x+IasM6iciBP7ZDJwWYH /HRu/UHHJuMZM5wojqd37V43/g2KCbLtUafJ8D8mtQP0xF4deyQlBfzEk9MT24fiQoG/JOu9cS35 TkGsAJpJzmIv3C3cQEiJrAzyIhGyabcJsC+v5zAd1aHbdKzF38VgSqGxzwwPJg4B0E6HmkDrvKni ERWLp+IebzsKxDCMNF4CJgdcC0bh4uLCOp2u9YNWkZi+ZSiVd5v0nXU0csMVk7Huuw8gYNETkC+T h4fn0e52rO3Cc6qBUzE6Fj2pJj4xschUMOzGp9mwoza8B5BXQ4PeKwrS9pzHLUEKqWu2ywr5JiMY I7JycceR0VS2TYXHomXA24mwHp+bUw4G1yNgXaof0JfHvVY9q/ozI30GvQIYbuUKBUkfRbpd1xPd jmBIIL+C0Qx9cmFcS2t1GtYf9tK4xpE14RBOqtQmS/16I2F6jB5qFQTKOrm5nAv1jHZjjSJT3cTr B7xByMmkZFsxfzd/pA69lMREz941QgVYEIhsRaZrgFITAoYIkeG5wlmh9ha9rQaLz8OTWi5ctryF 3ouSIlLoKCgJG6p4nDL+baQuo89biUlkEp14VyKJehYv9uvglzgZVF/mcEm8/h4AACAASURBVAl3 RtUBIoPF/AtJoaXEhgp5Q1SOjQLgqm/Az7Ydm7wiAJ8hPBYeCbyfUkvIQ3CGg8Cvyof1zDCtkr2s PXIXQtxpDWk4wdeKXnHhidZd+cpJrjBW2dPJ2VqamqILDb8DEwvFxHQkYDyU5WMoRZwtGyL8LMF/ LHAt0i50oggBIdTMJTJpvCPLVhNYSxhW4UnpM/DKwxsIwwUhO92DSJYg6EIGeLG2aMDPCiwE3tdi sSl0qQH49Hh0L0F6zbpeAnUp9YtKhjaIkDKIwJNGlyPyx6JDeNB5RNOJzdc9Ae9eDm8m6gKjH4GL hK15K9nrL2kVVYG79eimarzq86IeWuOoVK74ZEufTNFWdv2lWFt2RK8qaYQycYPYZ2SYq9enTQvJ HPxuwXnY7sKT6jC7Sujk4lwsAZiNXsdaKymwwIt68uQpzw0aB8Z8MlWXq2vXjrW2zs8vWMgovGmz 9AoQUhLzKhXwucDSnUi62i2mtLWTQQeJrh8yIWQDdyqxasjQxBSXu1xcQ9USVR9oDHpZElQMHrlY mBgLdRGhbntLxFKcK+SOlRUrH932iVE/6q588s7w0JF1bAcAq0EvU8SVyXjlt9S/0xdM4r+tc83C KIrtHp5Yi/ccYGecDM8VXrIqgmEQQCyF8elmWSA3NIFP8bu9ljHfdxHzVuRCHL0r2ddefM22VM5y DzJh6XUyhKglPsr3bDryZhjyp8ogK6wUmTU8JkIbrQCDscBQ1oXWWV33BrB4nbCKsNHAlHepGZf8 gbFCggMNgdeVGsoymjUnp9KjsMywl/f6ZTLmjYJaBEhA3lv2fqo0lFg/xdzd1OexZjTTT1Ek7/E/ 5hA2RW4+ixl/HREDRQKdtwanRcXf0CVTU9ZeV+d6/4NfUPfrwYP7dnF+zmcAw45yrpdffkkRUxTT xqimNhT8tzeJDM/KNZ1Vq4bF7kqRvrsHexp/wESGsQLw3bg448RsNG9he88gXqSaed4AJq+I52vK hc+auNRnCq+r0yK+1PUsExYvft/mblioblb6uD8/xSKNYUG5Yeao01GbcRbIZm6Nv+W5jzwuRO3I A1tgARWGViG4h1MpzKVuAz2lhURj+Ko4Qp7uTzVqmNjCDljNnyZ8voYEhG4y6PWfA+ytYSza3qQ9 RkyN5FZljiSTo7R3MjzLMATVsyTstUhilNcWWWhJFmuEsImenJ/yey7HF3wuMVdQPobkzXh6QWys 3xtar9NjqIrQFNe1v39o+zv7Zk0keRRmY39OuunJQBXXGou3GEddfxU4r97bZk9r21HnKG77nML7 6hdWEEpm4/LYR8jPU3GtlCwBL7j3sjzVngaTPwrzM+Qi+EH0IxpTT76gwTLeOhpdehONGcuARMDt 2tn5uT18+EgeFrAd7SRe63N5YcvThzRRjRt32F47JilYvgQLqWEkqQ1l9RA6ZKOjiwAAjVYGTWs+ fWir8xNbQg10OPCQBjcXYDD+qPaNpLzneVCF+7vtbWLZa1AYT0/UbGLJrEWLZSgpli87gDxPWLj2 XZvNJ8sXPERV1qRa+/U8xwYf0juzyIMKYxVsa12P3wf/Lz5ThGMJbSx+4ARFJxxwu+DW24wNExKe 4GFozuKuhyVXXHAuuSjKlzA2KApG+MnzkvcUyqF4R3DIyvPXfZXCsy1+leAA6stn1jhwrYdPHtBg nV8+tfF07EmklvV7A7txfNM+/+JTLh60jUMtKwxTVDPg70GvT4eM2G0z0vceJpbYUJF059+Fobhi q71yfqye4fVXTr6mi59LodK4JeB88wYam2EyWuSkKSoivxLKHwUbIH1LQAUuD43i8aCEJH19GHjw GGfCMo+OjhgJ3blzhyEgNg1gwqPxyIYD9YkghsWdFOeeTW16/2Ob/Pj/s8XFifW+9ZvW7A+ghudc lLY1BvvWOrphjVam+nOxuOPAllyTsYpeVxMbdPs2W805MYa4gMVUmKffYIp9ebOIa6/S2Mm7Tn4t hyT1mD+yMABDWSja7drlGKL8K+t7h97yfDHh6t+39djEbak320DJCtm/wPNwv2jUsb27bv3YtPPm 7BsKnwN/c9ME7zbRFCLMDr2yrCgZdZ0I88XiFhjNwmBUDbg+Gj6rjHDID0e9pxvJ8u6LMDBzqfJd aNEGgJAlTwi8u34Xz+usdXhGiuB9pXsdZsZqqpmukKGRkcrKDuHyRiq92+7aZDalQcIfVWIsrdPq 2LC/Y3vDfetDGcTDYFBk0AUK5+yCuY86eHiyqIwIImmReSw3wdIg4OBziMVfzpUNGdVnGanGBv0s JV3KsHKLJ19sVgGI0ABznRcQTHpajkUy/Jvz/gmau0evigqx1eOZpOzhUrohyA21wM6eSUxRmdno H9GkFhqMGFqboRM0NoPoLEVtPVggrXVYzbnN739io/d/ZCcf/NQm7//A9n/0p9bZ37dGb9caKLPp 9Kzz2ret9d3/3FooEKsd0iMf2+Xk3Brjh2R5TRYzGx/dsOnwms07HdufTazdLYqc10cyD2i5WdQf VAG6iq1cfW8yQnQ8PKzBYvTsZlkcHCFcGIKYaSlFHg+/di2bJkKJCSgy03lU2K2SpNQn8FlHLTOn 8+arkFcVWJZrI4Ekyd5uCgWVjYEbPvPwz0N3ysWIvjA3cGZmSYqaBNwQp5tPrdNFwTe6PkOzwvlF XtWlywvj4KU3CbtZ1bwr/S/CitxazluBuZfSYtv1RfG7CP8UfOQFXlAYYmx84OEElLSDZfE9L9y8 Y0/Pn9oExfGdHsN2ycLI03vx1ot2cXlhnXbPBr0howHIyewO91kELimXkAf37yiIleWRp1RINLvU uGflS2yvPiXKZ11kw6z8fXH6/DxQAVB0l64atWxJkxNENv6U99lsDD2pUD9CF21OaAFYZ3heuV2Y N9dIz0KbCsYUSizzlTZtcgbbK2uzxEkdxceTCcUEMAeJC04l64QICdsDso84yJ5jyvvizGY/+CO7 +OM/tHvTA3t46xu2N35qw/sPbXf6qTCNXtuO2z3rTX6P/fyAUZHH41gX2L1w8XfaK5v9n/+LTW6+ ZtN3vmGz4aE1u23rDPDVuFE1fMyp38zxwLCol1vtYcLtdLC/fHDasdQxpQZ3st09AEBJWnfsApYd OywLnPNCl/piGUL9cvhV9e15e40UNQyJuk2LZlGfmF8GYCVAjqYHhZY7HkMUkWOMI5FBOglIe00X uUP4HsA7rw3GJ3u2pLhgsQO7QY3cGAu7L2maJP2XzXgwmMvQKH6bCLQsE8peLCa2DIroAEGeTDlo Zo1RFpO44XHjVQ+2lrzg9HYJFmT6IkucOECeED85O7HHTx9zA5nOJjaajBgS4njx1it2cvbYTs9O VFPo9YpvvPyO3b39indcjhrMSBBsen7VBBIIp2lTcPwtDMrWZ19IPZlbpdJQ5c+Vm60XcacNWa/D S54vpty40XotzBheh0HGWbvtYSWJIi88dLsarBmUBpcgIV2/96Dk9znZl2RxZJtF9p2vpi6kCE4y DBueL0QPu9bpmrUHI+s0Bt5Baka8GQYeEaDeq2ttq1xiabMPfmCPPvzQ7i0H9nCwb5/Nh7azd2iL 3Zdsp222moxIiLzeuWMv3r9nrw66Nv1X/7PNm3tmL7xmq9svW+Pgmg12upwEZ4cvWevjn9nyxk0b HN2ybmfoTRexu3esg35vdPMimoiSnBLrkB45Gdou/ytLLuxMLrUyjaigJxGSwHM5uVXLNVt4+Q1T 9tlPJ9ejwkJen3jbmMXFnHquQ9IgXfJNTp+e8eGokSw8sA5/pzR64e5vcPnDUY8SBk4CXARb8snL SvOVw+qlOVFzR2C74OIEqTEPW9qIo8EmGknMJzAsfao2xDhwF3flAYomYmtYRYfoHPKHR1weeIbK 4GoyA78KTw0p8VLLP6Xe68+gwDKBT4npD06catmAtYq7lcuG2Iii3bPD3UOysoOHhrHH9Vw7vGY3 jm7YydkTm0zH1u1o50eYGJrrcRVxS+XwlVSAOFJTWT6r9EafP3nO1+de+rlea7sqNu4wfB4KY6F3 aiV3BG6A3a7QFGScVRTIq2pbZ9Wjh1VyqvAHiR1WTWC+QDgxuj576RQ2zWgxT+kiJDhYESDV4VQJ gDnHzVJ4FwYBaxeGDNdJzbGWekngWkE2xfw+PztTRYH3JWV3S4QL42bb7reP7BedkT3t7NnZAnV4 ZmPr2rjXs0avb02WnezabRi41dxODl82+/lfWevjv7Hmq9+y9rd/15a9Q7p+j268bI02egn27Mc/ /nd2MR3Zb73x9+zurVfVP65RE/6j+F+AdTlzoe478gpCILADzowTKBWiKPaWd+YSKAV2AExnOp9b H6TO2P0LN7wE7jftdNsIpzHB6sD/th1TuJoWhbrgYIJoAiBsG4/ldcTDKS+wNML6f2T/YhcWEM/J 4tncmlm1Ftxqb5OmUfDBpueBhgpBkZAHAOLoitkweTsI96czNeakp+BNS6GqISqJt093YiJ+h2Ji ql4U4VoJ9JcdqStegt9zPZjJa12lZPEzF6q3gA/+EcNKJbdKuhO9u8O9Q1ut9iVRw+YPGkMYpOFw n+OBEDCra2pMgsBY8WZqz31TWCgi82Y9qnSOOiZVw2wbtbkUkEWcIYQQcyduH7WijIl8Sh/IdL3c 4MR/DJhlwR4A6pUAD0zTRFSWTNXQExLkoLpU8K1sgZIleE/wrkJ2RhsbQk9uymyWgppMhcg0XtAY W0pqOsuQN5jA088Na8NY0UM5umFnR3ft80/v26OL9200Bz9iaLuHX7PRDF4RQilotLesgw60jZWd H9+15XRus/uf8Iv2xme2MzZbnp/a/kd/Y4/2XjQbz+z88w/tZH5pk5d/1WbLkXUMvQnRxSWY0tGN OHav7MtoUORyUl2AHCoMUD2N6g+Qigsgqfl/FLeDRAQwuFCx/BKhV+2oeFdbSneuCu2CIwaaBdi/ qfYRHK0GsCKJ1zVSHZq3OAuQjpui/hFNPvKUxfMBzCDQuh5y4/Mh8ZOuJ/6kNmwFe95dAXmh4LVh B4WUiLw6sKh5/3iOoRKRtNYL1n6J0RR1bQL7XYQwLWZ4QDN7cvKU3hI8T4a5JCTCM2qqzVzgmH59 WbNc2FD8LOWDvPBZTgaaS0ubAr87yJ7saI3qCBV7V5U66s+25vleMR+08ZY6UNuP2ADzv7ejvava Ssn3XCY78uyQ0fWaPhjiAgaI9CY8Jhjl5C2FJ+8eYmwygIPyPXmPRXhaxDb9GVCMYKZ1C2OD9nN0 KjQRIqkT1xj4KKWiXGSyhW5Rpr6XjERoPen7N+x8eWH3Lj61x2cfkpLQ7e7YstW18aU0jUiwXD2w 3rtT+/QXLXv0yWc2XTXt8nJqjdlntvc3Z3b9cNdeHRzZ9PzM5q0Le3Lyme08+thuX7tt+70+LwrZ w4h5E0+HelQC4SqIRXpPHlq4qfSu3IUVkTHKR8oiIWdpN9ScIL5nW3H1tlCw/PlLcxK2HNr1hS/J o5FxwoJSfVwGngnwlnIjKXeue1+/boVTq1T4Wg0/1u+7yVABeJIVoHwCrFmwDElh8e9IDqSOk1Q3 J1M1JwBAL7kXtcyKdFjK6gl6y4aQxk64WxREI/yHF3f69Ck7vHTJkpZ3MJtOrN0GrpGb5dIIoYSm 6CmJqaUQ02kZxfOLukS/cRFE0eE5qYc4WTRd8Zc8NnKftmFc64cMX/pg/rukItj6dcVzCbwtX05U V6g/KAQHmVZZzqQKTN6kPB8ouCKZAoNFci3DvXAq3ENzTSzRknDe3FVJGxZwMGiQYdOcCf9yLTmo f+TQvujaFPfANmySo1oCgwT005YKBmV/mCUMMa7zU3v68D17dPJzG02BBWDBjO3Rw7+2bmdgsxkm 6czuP2jbzz//C2tNT2xx9tRmKEFpD9i7r99t2p39Xbvz9d+1P9+5aa3J2O5/8lPbuTixl49esdZS bZ8EFFezeWxJVZFiLh+QL+7AsVhqkvWdopYxwky9LfodypBheJGqD9e2PseeNZnqGcNyQtQxrec7 QLPo+WRx8N8F6aBiSqzFW0LRAEGVslJ1X2oKVR0a7H7qc1eqJZShRvV+6WUg/5Ih7Xzf/n9lGaW3 hVKr8QhNCebW7oAkjGTL1C4vxzboD2y1godSelp+MiqEhoeoC+HYIxxFE5I5DLUSJXhnpw08dGHT 6cgzUNJcYtmVG4DQ1wovKcKv+jNlvR/wLKqI6HvVSq1TaUlfhl/Pba584K+aA7FJrm2Amzypoqg5 hYrluVY6Yz6XxkEhWUmNSCUPxXMWB1Eyz6jNFJkYYDwMGCAcM3SZdrgGA03Cs66R5Un0qB1DTjY1 F3hr08LPCPfU7ISZRO86FWGlOGHyk0kVWYIC5N6xY6D8vlbDBkM1oGlH6vdsNLLz0TkbQi6WqnvD zjWbja3ZPOYkAgN4Mh3ZdHZpvcaFLVZNTrIl2OyTpk0aS+uNzuzJjc/sTy+eWKvbt8Od63be2rfx aGH24J5949ad6oNkZ2jscgpVSm5ULDgvmncvzMMgSlXIescDF/VU7biSrA2bgzbssiGSYuAtzzkT q0Dnpon4S3ldjaTnpEBOO5M8DDVgoAsNRVameeeM41P9GQ5WDlTrt3AdAneX1idpFiqkUqqIHT7G eC2sLTKaGciOji0e0gAbQnOK6djOn6INlFq+o+XT6ZNLllPA6PaG2BnVlCFCBY+/Mh2lCMXC08F+ gsoIGEZ4bKjpQzedk5NTemF7uzt2cLjLUBEhPu8nmm/EOLgWGMi6WtchJ42CeHTrcU/Ki3jrxqpi PCIJk665incWk2DLL6pGidjilhrBFAoWWl2bsseNEosLL9tB33VahAdexe3E93Tb6OfZZ3ZwPDu3 6Xyk0rulvC8lfySHLKOpfgZm01QZQICctaUA8+GpdazfVTjNxrRskKBxmxqwz6VEEfh5JMpQvK5I ST0aJaZA7wyv4z3O79oBl5HabV6+8Bcf/sx++uCz1HYcXUBoXJugyO/YysZcWK351IbNph33ewyz Ho7Gdj6Z2wpWtduxL9o9+/eLAxtPP7eL9hM7GLxpNp7Y6enHdn7+JEmrxsLjwMd2VjQBZRysd2jC cEYqXOHDxOCzwYH32wuknr/zVL97Yfgq9r67uLCd1L6oMB/bgNACHN7q6m/wrq5KU/t+kk2Ge03M YrFJ5YKCgFB5iDEC8TS6zVS/OzhJWcUSAOicHtClTZtoKdVPrc9Ltrj+mflRihxqciN+boXZIhcD Q0IqhhJ/VE2Y29nZGTXBqEkGls5yau2l8AyEIAHkVqVUcuNTPT/IknivQIQPnba9+4uf2AsvvGRv vPEG68vgaQ0HR9brOekXnjM9M3h4S7OZatTQBAObbSh2SI4YeBjOK0Bem3guSSpX+ToCVRqW/Jo/ vo1zqEpuFu8KIQ89/g3eVpx13Yff5uk18vV6gXa14LxMJNU+GVQM6vD3+SDwDCZzdDia2sXy1Ia9 veQNBb2h0Zjb2BV+UQfYbsAoIfJx7X6EbpT9mYNxyDZonCcwNtBqW84YLtJgoQs54Qzpo8HoLRoT m87gEI14fTCqXfa4nNlsNeH7GQfg5r769rft4ed/Y399+aGNJwAeb1qzcWDdzrvWbP7cxpOlNZZT G3RW9kKnab+7bNug07L/a2D2fntlU1qTqS0XJ/beu/+7NTtD+93f/If25N4P7bMHP7KDwxdtOZ8k Ylm5NhgvO4Au7Xev7ytGXpkM7YxpQhQsXmQ0pD+VJ2INc0y7UlakfL5jbTIWTz6A25J+sC1MrBAB 0w6YydjiajWJGcU91HfjvOBLnMKpHmD1T6WB3utJUgUT6OzsXK56RdUywimXP0mhQ3hBuaiaG1gH Rl6cN/xb7eE6dnkxsp///Od2/fp1eoOd9pCAtp6vzi9uWNEdnGGhJu4ELd6ZZ5H3iAyRLRq2t9uy d9550yZjdKC5tBs3DmzQ7/J7K2ExPKXAA71KAsYf348eHWyzhYQR5HZQnFwUfgtURmiIYmcV5pfu SIaSNjyL2nN9lteupEbdzOXPZtJyxmuzR1x8l+UwPeZBaiRTZqwLTyxwrPLaKb3j1wxPawgVpMaK RmvRnNhiOSRNhpEPklTEBFvW7w7JzcP9tJo9VgGQBItuTu6lsT4T6rbERIMJ4DQXx1ixqcEQxXVR S2wJg6V6Qhyz+UgUldbQLsdnelbhwXTBxSDwiBuEysJntrQH1usiDbm0Zvsa3bnl6JF9NLu0/+e4 ZXePfsOenn1gy/N7tppNOHFa3aaNpy171JrYT3/8b6wxObXlEq28XXaC25syUViokUEIt5OQe20b y+Fh5psk8Ny9s8Cx6L05cJr4LdzFUaRaNj7IkyK+o/x521HZ7Xx3q3OlKlNyA58qhxiVwr50PoaB yPKxe3UGv+MzhUS4f8wHwTNcTWS3vD4OI93pwsuJe8wLACFeqH5mDlC5HHTZ8N6w8JPE0ApdiYBZ XTIMeP311+309ISEQnC1ZpOZNVtiKQPMBQhPPX82fEVY1KzKn3ATUgmG+FRyu29cP2Iox5Zm5NA5 TlV4E/nzngVzCoP4d6Unz6R92ijjMcMjRS0bAOJWRzInEcpWnvMVHvM2Csu6R6ztYFNImCdNdS5V N6lGnj+pEkNFxeElV0qi/HxRslQhqqb4RW9kVAOllSUsV4c8KnbT5kYiYJ7vWYI8jH6h4lPBKwKo g8cHqACYYIT/rDFMDXzx2tImS/Q21LMOIxuKIvDuUujtvxeNRCRwHATdYTkfn9+3h6cP7fIShcsL a0HsDZBcq2XTptl4emnL8dia86lNYGhmC3t88cDOJhMbzeHudlW+Y3DJu/bb3/xdG9//yB4/eWJn lxPr7uALvRykmaVbWT6S7LDLf/juGQz6cnVGNX8U4UqVUGeIHRyUi2gnFMYLGU5Il0ejzmgYcVXa uJxs8f1f+kj1WOV9pP9VviPRlOBpoBoATHOENd6BJX88QbhrX0cJ4WSYnGGPp1KGPoX7FxtBOl2h 2BEHaCBaxNjftHOyhq7ZsPFYtaH7B+Dpta3bFQg/n6AHoV83HWM9n9DFwlchiUPdLpIK1cUYrHd8 Ht5QdDJOizwWIOeAnq889sz9Euk+e0RqjyU+3xRyyWg+TyOddZ+iXyExUhIda3SGq2gqVzz6yvxK IVotofElMdVGAvB13qdPnzLZwcyuwzuBg127dlTdkJMXp5+pZ08eimYL2phBnZVUJxBGycdCkp0o s9RfmU2cWNO6yuYBQwQ1JdESnNRNTpuyv6kvIZ5D4ophExJ5nKu8hZIfVBrAAE9dS0wJNEFILuAX 1nV0eWKzy3NbTSGateRFIt5sYYNsrGw2PrMlXseu2WzbZLKyh/Nf2HSmamvsughFGvOZTSfn9mLn wB7t3Lbp/qW1h9ft1u3X7fDgBtUaZWRC+8ofYqgkcGAkhZIWTqVZa3CvwuPCTWWiYoDv5Cm5hA2g kW6zbTN27RGfIz3Ev+3xJc9Ri1Jz2Fvuti5Ng0NNEiSkJ1XM2mdr/47zrGVCWR2/YWFUPIny5SKz xL5+jh0qzUdcDFlOeFmsqu/2DB4+JqCap664qYFAqFMXrePdK1qyeWQ0opBeOu41uFO1SLu4Ey/w DV7VhqLhihfNvn/woqR7BQ+OhqzyXFS6YvPsbWrMSprDL38EbvvLsmIypcUy/rha2ng05toez5G1 VRIE4S8Y4ocH+zXQrcja1iAMat3jD2gl1CZzQ8bMrktU04BIbx0Jt2Q4ueai1Ep9H6LrjTd/9wgL ks3BKwwNLbV0Y9YWPK2W+F34/tTzMUjR6pojF/ho97rtD49p9RDCzeYrYiltkLV4spXNWdkPvCg4 LRgkLCK/UE89X5w9tR//8Hu27HXt4OhFe+vWK/byy6/byy+9KSJnjvXkDrrhic46/LdzrfRoAldR TVNgWso65Rg5HclLcMPUcEMb30nOj/hnMRmjQ8qVkyafPv0dxmLjZ7eU19SzQPHe+jlCuRIcFGX/ BM5XrqcaoyagfC1PEFFjDTSu/lS2InPMr9L4MvARJ+V2WtbZQ1Er8Ii5jT3lTePWXDHjxzZWwI6C B0f9eNe7wnPxTuB41Gri44oRzIj61bmRDDO8vCJEl4JDNEnIVBRcN/JCaDcnL9sbQVQGXbgWibLe NUfA87rBKpMVz8Irs3db30TyRpyuP99KCpGVJPCA0uVa+Jpnlnf3Du3Ro0dMfhwcHNjR4aFdXpyn zHHhOucQMTDDyJA6kVeqHMCR5WViviXNfJKyobaQhfniXpNgn6+lHCFFT0gVOYtWUmKaoVUGIwau Vt+W6IPpGUU27y0UXttR0vHSK9+0g1vft8mPvm/t9tgbS+LB9Vjg3OlKRRNZZzGwA0/BhYPgt+eV 1mfW6Tyyn3z8Q+IvXx3s2f7ekd2++bLdvHHXFUZTiihZ8HhAKNANRdKElHONCHCPWjiRTPUgYz6V HhktfDyrBq4bRTkeRgLgo3sqNrhoBpCz8Dh9bRvMjnjl1QJT2HashYOFnnfgH5s+H/ObVEbqaTm/ iGBnVa0indiBTWX11kOPMhxIRMQKplbeTTHJvfVSOqNvGtHPr8SUyHdi9gl6Y22bThfWnC+pyKkT 6dwYa/ZRBA9tvpTQYwFAcwHhVnKjZhUuF2KDiTxbPLNg2tMzJdlZIbSaiWq3hSehprsKO/Ozyj0d A18hNaROIC4ebn1jqHrt2cBInjmPbx1LjYRTOVkC810zaqv4BDKhUgB5+vTMvvjiC/57Zwey58L8 ZGRybafwINXfCjhxDf5gtJtKcjqNHuEF0heA84G3RZ6WeZheGMI0X2T0FPrnDHZAOyqW1vsYDhYJ MHhXCDG7rT5DQnxXFEcr0y9Pqw2httUK4mU96/Yb1unNbdDqWGMOMt7KWn3gIiubTzREcAsR4g+H jj2N4OoNbX//DRsMbtrZ+efWWH7fBmNSmO3Dj75nT07es4uLP7C9k/VHOQAAIABJREFUgyPbPfDs g7ewR1ZsUdQiRS0cfQvfGmNpyavDRFNn4VT86903AsNSiYDjVwU+02s1uDkAGwLphxPZM0XSXgJ9 AAa60OS6IuTbmB0qMzu1UE8/IjQR0TG08FNGp3z0xWsaBuxSYr8TiFy7LpHsOMlk5hztKgxbJKAq eJhDuJHZLBaNjId7owyrXHE2NV711UopFzxLTFRNWIZdra4N+m3BBqNo+QSPSmDufIpFKc2rbju7 /SR/sgFENggkLc5zsgWF7GpiG2FG24nD8pxUSeLX7Mnl6IcHrwIGVPrkuaNSGMqcgfOd368pvKly oca1VflU2QfnNc4hu6w5a4VnpH6L2VMLTmScK+RrOKdZOtTIBtC/oz8Y2OPHj/gzMrVQAQGlRa3H QC0YEZuihwO5oMU4hW2IYoQNSQABtkAijZImlo0Q8C2NNOCVatNHD9Y3h4ANpIkPFvyUlJZYw1Hy hX6kizmoN447c0PwUh4PCzHfcL29hnhiXThMhYdLDIvpRVtYp4EqbzcSLaSc5zaQAWbmbz5rWK8f HlBuKLBcPrKTkz+1i4uW7Qx27KD/Hfut20v7/tkn9meXD+xs+sRaP/iXdu/+D+23f+e/t7fe+ao1 WNenSV+GfsHVoefj4Vt8V3T65e5cGAN5ei5HknTnM8ZF4UEA+ngvM0EaaLCzcV66vY5hNJdK0WrS 5ElYzM7CNm3GhLLHUgsBeBv5nFH7tXaKYoEkf8eZ7CzBKLI7er+H1g5qVss4slGqBC81T0A7vEsu O6CNiRulU9xIvJGFesGozx8kh0FRSHWNaeEKVJ1OxNZX9f2KHDMynpHMmY6tgwYqNBhgRHsdaXTb IddOY8ln53gIeVXLBqsvWCzeBTifb0kbG3g8aGPmReYuTshbgQwPu4O7h1ZooVOdQG1ks4pm6iIV XlIZupWNI/Lvsu8tJr7a3Pmr9JKhEeUdlSrPeD0rGM0zVhughWvHx7a3u5ueI+5R7cWUWYMnNZo+ 5bNQ1q1D5ZSoAYxwi0Ug5DkiTFTiIQwjeYJ0LrAphGKo66w5IM757M5EsRRS25ponZY6InnBPTKH mHfw+gDwN5egxvS4zuvdxnG0McGhefDo0QO7fPLIGuOZjRZd6/fv8KEvLj+z0WRiC9T4Ndo2GkMG omm9s5m9Md+xj5pte4SWS6z1AtDatq985SX70Wffs9vzM/uDC7PPkSU4PbOXn35mt9/4idmbb4EN mXk5Hv+SS4WcloN3sUDCUCTGdIEPRLYwp7lVMxXZQak3tK3LJqPBVyGyYC0PGwFWhihbWTC8zYN6 FtAeod6mLJAgoFLNsYaFlpO39r38HNnDOlNiIYS776RL7ZgFEF3n/6TwMKfa1a5NqqLaFT3T4/w2 OYLaiUMbnp2kXe2DzSy8ZDMKmTGZkfUDqZSR92pJ+ozwyqU1oE+GTAjq38BMLwChME7MLHnyQa2y /FkzESDaR9lsAWx2tQ+DsfMUOf8XfQmWttLFrHlG+CI13kAxuvoOEhbhWLnCSP1h14xVScnB4oSu E34AGF56rmGcts2zrdSHVUi/aH5h7sJ7CzwpfkevB+Rdb7oRWXjBDPFMNdhwGOB5QbCR+wWqGVYj 6zZRZN6hNzwjTqnwnwocdCgiDFeD3pjr/JxLncPrn6+ktSWBx2VaY0FGDsof5m671ROvq1SzLe6f tAYuBkivdIY2sR730G5/aDuDjp2fP7AJCl95o3NiWPjIpNW0x6u+TZi5m5FtDL5Wp7O0Rrdvn03H Np807bh93fYQyjTMDnaObfLwoQ3QbLQ3YBqbYWYYCr+BEn8J9UNMN1Eeos9bVJ9nUloJLqQsj+8g sNXwGLlQEELCsPkEVEiQVSIqO5x3R6mTQ+25casC+9jG19qwEMqfCxOl0NfLUTKIGgCnvFWE21sP x5/0b09nsMbMKSMpNILhwmITziT9MbCOPYPkGfQAVxks0vP1qn8kbQz0B5UXUTHDJzjHYQGpaHej VmrJhQLWwNJiYxHlILTS8jPBfBMwHkW3JQHWe52g4iGabKSBxPOUPFGJBUXzJW51KBD2Xo9lqXw8 1/LZlB5wIiYXrbzIcA+xwjWPrOpJpXM+I5W4Sj0gQ+lTUUH1PeLlUUTbjX55E+VMnIOqgAQaFBzQ /xEa9gzVcvYU4SAMFfBsEjt5+iZZKZHAQqY4xjk1SMWGZm0y1cnwj8jFJ76K7BESIsWs3pGiRZT3 At0s52HFBNjb37ODo+vWG+zZ6PLCGo2JjacnFI9vQ7gMGZ+ZGlnSK7GmfdGc2pSxrAyP3Pi5PTx9 Yherln3e6NlkcNNaOwcc0E/BJ5p07OT9j63Z7TE8oF72wOvOlisW/t66fV0tfhA3z2fk9CB9i6Je AYnQlOqJqDifMY7f2VNH6eB1hZJDxAA8FxoOsL0SJGeg9QS2k8LOVguDXQNCfRY+P0/mqklW83L8 nxXDVGS1ygykfuleKA1WtHCqfYcHNWJeZarIehgYIa5noaIbEhdpqFq4ZAvl+rVl1Hf6nBHKXkbU nsEAkPTqOIjCq1w3RsVZZjyV8U3cQt/5+fu2Fj68vfCiiP+49hXhM+cRBUCtkAhGZ0nPIBQwGd4w nJaXgXMEUVbNPHIzYJBhSw4gQXhXO0iy1HWnNd7rxdgKe6OgXwu8vL88B7bPrU3ZRxwcH9coK+DW ggxawhbFxqRf+t/6RzJGxfNlyErPSllDyQoJe2oGXkUcKp67ngHCQWBXejYuF0VooEPsihgXvSuX FgpslpshCKcF5uwH1uZ0MUpQj2oJ0ZSh17W93aHtDHs2Gp3a08tHtlo85S7YbajVEeuxkGVprRDR AXFHVSPdfVRuoA8fag4fnf7ErHlolx0wYVc2RMah2bCz+WObjV+w/Z9+ZAuQUcdTivsPXd8IpSO7 ezt2cLxjnQYyYzObTaZ2+fTSnj4+ZSeTEInb2TugxZ9OJnZ07brt7R+kXUWeBgZM7iBjbewCC4DS DakxShGfdA3cGwBBYC1RoBoNNn7ZI3ZThSrlq56NqrWLTUzobbM0PCG27RaOuIlXFVLRV5nY7BUF EuapZyiFAlOwQuqWmJi71UlNw6c/F4y6yqzAFfPFSmpDR5gRNjnwQ1no6phKggEYfrkRcDljUQvk PTC8QxhPS9zwTjW6ZjyfAOVjxwfgS/oCBeIU9gfRmE1AHUhuMBONVdNSpx5Pw3MDAZjviyPAYhka vCbIQnhbVfKIXp5ft65BoWqiV2wnv6TPr1FbSpHCgh6z8nC2hUUXJNn6uYtkxbZvXXnIJompwBLj dyqxEU4VhE95shLT0/2mRE6iYMiYYR5RHhm8PJaNtWl4oMChDWmuTltsgKPyHzgpwmkBUoWQIGoc 0dhWY55qCaEzfjk+tyWqsZtzO7l8bC9dV9EsPJsZJg6AQie/wUixWemSyD0vGFSHbg941/vW6f99 m88e2uX4YxvPnling5KTE3t4/oLt3rrDcxwdHdhwZ0iNbJxruDvgd1D6AtX10HVG2QS8BlAreloc GEh4VpRO7fdobDjgSbfHs0lla3S29sLAeYxPD0t4WbMlDAvuO5uvUrmyDkxffWTqQB2kj9/Ga1XX qSSfx+9FrHUcKs4fMYd7EVoY0QEn0xgSUF6GMgmDyqxv8m3cNNG1X0lBVLpYwg8pTw0wNPpTcn56 FsbxQ3a8QXMBqmQAQ11ao93mZEU2lN17xzN6S+oYHf95+VTyCsoQSSHdbALDEhpcYL+DTqMNC/WR THN72zSy4vXQiBsJePauzXQa1Y8SuNsUMjZg71vP2g0AvLmfprwv70idFn7mKckj5Ehnw+B0CjYv pYdXNhkpumFvdpe2elnJGyvkZVb+t0LMKtVGYxieUjRmyZt4isjS3IzYMM+tKG+bNyQuGdLOuhYA 68jKopN5FwBRkkSS14weD5jAnvyCUoiLBsLLWrGo2WEeL8+Smob4c2rMsbIpaA2hRFrUDuN+20wx Npv24PEX9sn9T+z04pS7w+GudokgswFumk4Aikmj+eJyZb0uLC3SM6ImkARGmn5HjHYKgcG7+cSW bTzUPV7Eiy+9wAt69bVX7ObN61nAzcOF8fzMZktMdBRLm+0e7tn1m3eUbvXdBC4mOsLi3+gWG6oT WFuh3sBXkMZGuQXSqgTgABgq08j7QlW4y6/yuaZG1M+PWaWJt/ZSTgbIg3KSa+yUlY94ps6QMUFZ lKd7C4mbmG1YsMRwyH4PfIeFVK5/n7M/kiAtuGXRro23h/crPSQxNxj+IjuI3zYKPg3pAZicCuOk e6RwUSqw4j71Wm012Wg0OGcmYyh+IGTA5iCOQTWzFsstA+DYlYcD6WTBs4dhlGExu7i8tB+9+x7n 4f7+vh0fHVKFlCJ/87k9fnxiB+j25EXVkfHEw0ULusvLEdnge7tKLUpPS5wfYXRumBz9D/ySd4qw lomPHDKG39ztirdUmwVrjtWmTGA+zxVTzEKoL7drC52pCk/OQy01HMmGVUasmt1BFyCEvFP3DuO9 1F+rwRc05gjVGRrqRWUO8fxnNmM9cdu6rS55W3Q1UMaFetZml94VRfrQARoqEZhHS1VRhL4ZS3Ea 2P4m6k2QcGV5/AwJ8UY0h0RmZAJVhvHMur0dG88ubbJc2sV0yTb0QHwQ2/Z7tyjxoagJCWBja6Zl A8qkB7bb7Vn/4K6NxkfWbN+yyfjcJuN7tmw/te5wyE4Yr772sg0QChJnFyO2AyvcREYCQvkzu7y4 ZGU4a9JaLRv29q3ptWitdp8eF6+g3mTBs1swmiFHw/exIweq9uVezldmUxgsXzkJAQhy598Sv5Kx yoSCKtRZYN+FakMUMmNhRMdmvSfrPgXvRS46cKYMDoPkp8mEn2qYQBnCeEiYyptS1swbmWKHhCdN z8uTG8ugvOi7qd/FMhdk1RpUBO31QH3p0k4inLs8n9r5QobGJnNrNxY2GGhxi7ay3rAhGdpgZKPU x0nCIEY+oT5W2155+QX78Y9/aj9+98epSzA89vF4ZOfnF4nXBN4Q/o0oAlgo9LteffVle/X1vu3u 7/A5zKYzcroIESOc9TQ+vAU1wRV3COeBWkXdMAU+tWUWrJmjkiDb2DIpSrJo+U2rOtSQXcHcUi0S Ri49nq9Rc4mJJgfOQdbE9agNl3BiHGxQM3P1hYANWKKljYAwi9+LoBRhhe0eJI3HPJ9gBm2+/fau 1BgAD3BjXXJjbjd2FXLTlipTyEiKUYCI6gw/BbprkR/uH9rdmy/Zjb2b9nTyBYtAR8sLFgPtLFo2 QUlDq2O7w5t259av2v7Brl1cQjR+YX1WYsAzatgFvnX+hV1cPLT+4NA6nRt2shrb2dNzGwMHm4xs /2DPev0+J2JknURPAOkssh9L2zsQvwRuvwotg08j5m5YYGXOvHyAPQdxY8Cn1JYqBpUPwMNF4Bzw SbBZInHQKfq4xSR5HmOVsIeaRxbMgZhc23bSmJTs4RxV7E4f0C4e2c7qtYQWlR56pIjVLSd/p2dg wuUvJj2NodejhTFUJ1/PmrlmvDxXWVP9M9M14K0SSG31SF8IImR7gUVuDAWxe984HDBkPBu12G8O BNA2+VG+YGtjIwMvkDw9Czf+fI6Nlp08ecJkDzruXLt2jeNwcQElADQ77dqtW0MX8uu4ZpdKVfb2 dhNtRsqj3m4dGVFicogKYHyh6CRhgOh2lEO7WnvnLTpWebQzhrUpU5wMTJo4GyealRQMrRc3PsSB Cjkm34BCC0wwA+YKDIzvoFBd8Jo+3GOvNbD2qmOTBqpcpKoRpT0J43MV2CmlqrEJIAMqo4W6UrVu A6wyo0fFsNAbryo0BQFO1Q6oIyUnDMz0pNyh8YEDAm+XW6or6wZtg2w/vAnxI7Ekb2gJgzKEdzQ5 t9EMGuwQncBO2rVuf596V/0d9AxDVgqLZmXdxdLOL8/s5OlH1undsX5/n3FE00bW60LbBpP1VB1d IVBfSMQwS7EsOsgiy+JCe8SZQkAfZ/F6sdR5h25a6JHrIThSmRZfbEJlD0LsRijdmAOzcinlwHvW 58u6vnu9XKOSrg4cISgHLlZW7ZacJ7Rqq/KOhZ2HxjYakyaumRZJYmd715fwvpStVcaPWS2/8XoY wur7CCm8HEX4Vrnri1jF+dFU6UTiglNyWNrbzDHBtXduDubw+HJus+nC+jsgby4IlvY7cxujDyC/ qmW9AYxpdbCzGQhag0JObFaj0YQKpGhb9tW3v2a9IRIl4IAF1gOlEAG31GPylD/uEYaNnCVK78Dr Agt/4JlDDxu9p2OooGpOYdHBcMvw52RK9di6t7lAY/KQa5SGZ2DxlfnU8PfrZ7ezCVivoIF+TYUi RfjgHloBpQwcLjxAGpDGysZMUgkqIthA3lqRjqSRVGMQrO8Sf2R4CeE+9hSAY4CWfjiP8GI07eX7 EnVCGCWinihXolcM/XfSXfB+J5DDYEVRrXSEAKzDJW7YfrtlX3npV+xHn/6ZLSYT7tyMpJrwSjQZ pnN0MUF7qKZNgIOAE9NY2hRGqX1Alw4hWK9/bEfNrxA7Oji8qcmDMpKlNyvwgYZl5sV5qjrtKNRy hv65Bi011/SdpjRIMdHDWCirk13s6ADsc4n3BW8TmFnXQwg9gPVJWJ9byTB5/0SHotO7JEyoMCOu cx3hyEyf2BtV1iD2MK/ZW5nJ99LDx4GdlZkpb+2UrzDzz2r2oFhFMvxsUMvyprLiIK69rAfTQohG rLxeZBSxGy8UPmFHpWcyb1ir27JGp2HtrndFQiYWBhFNdlmu0rDGxHGtZj3j6QsO82mO8hu8f2mX lxM7v7iksb1165YNdkQ/oCcHZnsPHZ0wkXMXpqj2z6x1FFmLHoFNOqAoSZ3Aa0WCILBDZbLC6Gy3 K9t1/VPSZANLPQzPlzlWOlk+efF8gjelF6L3pL5HhFiRtekZowQHIopRvuVjrlKZ3CO0fB7iJEqz jV+dMrWFgKAqHMV/g0OF9zFbiu/0LCq5bsocMprwLGrwC3VbKIRWhIT5PwWmBdCdO7LXQQAv6HXa 1uoM7PBybK3VyDrNmfUhAkljLNUDspqhizWdpRbSsvzQ0UKBJFzwU1uuPrdBHxNDRZNL61qjjVoM L5EoFlhItOpVb1EFv80bpwIcDOMQWu3qiFM8zJooXjyIsiSCwFXBSFY9rBYR/qaXFdjKlh21rBUr vSMaUIZSAaDjOr3Yu9wDK+RB7URiVHuqP9LmFYOWgfowpKmLDf5AHYHF3A5Uhox0fQElg1zFsKKn oax+biEfwHM2hpkhTolqNLBdiRxJXhyoI22JELZ7qsrH9UBTC5sHoCtMwfmsSbrDHB74amFI9KpA OsYYNZdoqIG5ItyE0sks22gx60iN8LYSD+pLyDSlt5ALj9w3EB80KXWolXsK8eI5I6uJDYClPH7P DtyHPtP6iBZZuG1HQSrdBjNcabfSta82Gr7YaGIuJtwqJMV5jdmbxTNTlriX8skxHyQlo9BYnqEq B+hV0UChkF1lden+XTZZm1vGQwVRiAgKJj2bx2BzReVJu++KEGpuHKcq5xmTP2zCGi3GnDgag8i+ 9wskewe2OD+17//i3/ktqNiRngToDfOJzc7HdmBzG0xWNlq0bcqdemKzs/t2ORvbg/uf2c2zM5vu XVizC51m9LU7sOFB2/pDXKgaKUaIA48LtWmYLrhBGCjWBjLF740xWQLiaVav/sZiyQYqA7gptR/u sy9w+nDx4DmPl9z54U0sihZhZU1gOaMixAufqAxh2aKsNJYJS4rMW9Ej0BePHq4Y2SLa5dIgGbyi uWn0CywmqwImiZ5NZpf0uqAjJMY7QvyiG3bq5edNaB07pBdKYx3ZQV9k9LpyP7okm1xuNux4o8YP OEdvp81QHtrv7FYEh4w7s5NDwbfBc+sK5xoD1AbYjfZQbOnldZ1z7wK8QtffDoFwYE79Qd86A5Rv IFzQxobEBCsGqe+/znETxsQdy8VNQZMpgyi/T8dT0YhF0EgIoTqBNjVULbzo58juRSmSunsWazP9 /lmf1/sXWJ9uOHJIEbCDMpcyWBTY0Yaf4sbC+4oIhPOuXZnD2GCD7ElgHIX6zN5lo095GGfahzJD 8L3oQUU9MAdN5VuyMy0aS3hbwJjDu2ISjGOsfomp2sHnO76v2RgUTHc/LkdTu3dyymwPaPbNkbRq liDYjTHgCOdntjr7gi7aG+0zu9Vd2mfLI/tw2ban0xN7cnrPHk9H9vD8wt7qTWw2WdqTCdLNGpDT i8fW6MibQqGj1qZCDcXYGa/BoCFLBWM2nl0IOHTDiUnT6wytBYE48mdcuiSBIM71KSZECNEx20Sw OBogYADRatuNS0yqSlYtdi9na6cmkjFZHGsh7hPfGCFt4ATV89EABxcKngaIdlHzkng/2pH4cDdI nUSVPMh16H7SQobVw8Fea4d/WJHv+GB23WPZSJ9KCQ38PkqkcqU9CLzykijLoE8uRDewJTAhTMyl 9XfRNkufRXQ/h3JtS11/ICETeFlgTCAlQ9l2AsM2gRgd8EWNOwqbscF0eiAq+uv+RJttX54sCxE/ R9PIs6bRJdw99Mq4c/poMa9553oQes6QZHHOWvTji12/0+lLHSJthlU+VN3cELuBWGF9Xm2RFkqf LOv9fKNuOXE6vpGbGkm5eYOlsXDPJn9hePRRcwsnAZtM7j4V3hgZAeyooyRG0rpzzhV7BLrnRZUO x5qRNYTt6A6GpC6w6e5iwjnQaw9EUm2CWsLUnHVbQ3HlCsUHkEtDDrnV6FoXkVUqOmctYR6YveHQ jno9e/D4oU16Mxvu6kKnkwtoOdig2bDDyRO72/jI/o/xwP5qfGJf2R/YrYOl3bCJ7VrXTq99xU7f +8wWXbO/mEzsRqdji2XTxtOl9Tpj++Dzn9njx1/YtWsvsqMLZvaSxZFh5bFbTziI7UWnKHjWw48Q Jas3Rh1hmUWxjV4N7rHTbRO4RcuvXgu7iDA8pEvRiYwddlJMn91TudBZVSI1oCT3LHN9+J2uMc8+ ftycs+cSC5ZcH2RNUmNX991cy0rXnfW5Y8epL7LsfssrVbfduYibzTmpKauFiHpPn57b3v4ubwu0 ghZ6wHlLchhLaBAFaVUYmowkcbiFWMuRsZwuFja+mNl8trSd3YENd6Dbrvugh9xTUwecH9lDiudB AYGelowAiJZgs+P9PeBRqc3XyvoDpNu1kWEKYL0zs01PVAxwcEOZZY66Omq1gRAMLwTxEBIDnm0s wG5IeAM3K/2cwHKUFXQpGKZcNRvE4J6TI5TrE514WWkwUTc6OQyP7y+/s3xte1ba2d2rnJEOAytd qwpbL2dUXYInQSL0WDS3BQF4VELbzYxUmsOYs9HIVx6y1z945pAOReoJIIPM5wzOo3McZXTaBNBV /uRgfoKEXMU06aCp1IuJFG786JbjXbn9HogahCQJOgWj5qbTH1jv8MD2dgd2dvaIVm5FMtjCPrw8 s/PHI9sfLe32zqG91p0xFJkup7bTWtq1Rs8eP5nYr9/YZZg1Xy3sk8nUzqcLe2vv2N589Vfs4OCO TVZ7Np33bIAQpjGXtYcF9/QmhxCLBRfuZDkuY6/PkmHDZ1D3qF0dDV8TizoA5wqe5RmytlKvCDm6 7W4i17WQlk3hXJ5wGlh4Eh6OBZbBkCrrg0cJScoMJWqBZ1JSxlDTJ7TJw+Ohsijcfgcd2VmGP8j7 iekY/w9jhfM0Vz02rVh5WrrZ6lnLoI00s/OLC9vd2bX9g2ObTMY2GY+labbTZTY4dPEJ1Xjhs7wt GWGQ/NTAQWEd6vAWM3g+Hdvd7zMZg4UcITi9TDqckXVUqQa19ZGlW7bVxZlGRwsHhE9gYNgwsKmE ogXMPbwtloSwF4DmK3CyWOwwesxyofJiCs+tw2avMyaQWsTSpHGWy7RwtTDU9A4LwxAdrhPhErpd 8PCnynwJqnBV3iWIki0bNPadC5iN0qZsYIRzm3ComnmqPWl/T6PY9PzvFoFpVSVEuLdC92SWS41B 2fRu1lRMcwqRiN1a9wpMWPKEeQZMFxBQtM4rDSpY/Gg3x3pOQSz00KJJKsi31P2SWgo9w8VS0RE2 KJZmeXdqb0Ai4xnrdeUyyUuOLWEiL6eTfAE8LCeceZRM/aBG32zcnNrDxsCudZfWWiCLNmGM39xZ 2vxgbsPFys7np/Yu+EDIIHZXdnNwaLfbN+w771zYS62BdeZtO+me2ysvft0a3Ws2uvcDu31w3TqX l7b7g39t81e+Yc2XX7UmMjtMnUYZQLS5SjMgkeBUD4aJBsE6UPiRPRAuwjolDwWzd5W7SQcoqIcF TXGEuBkTQjQjLMSzGwXvRSPkAGZMpGhykX7O1xv6W57PTJhBuLvK9OlhYd5A5A0lSUqjywCqFkv/ hoIAe/xVXSz3/nR9rdbQRjOI4yFMUOgK3AOGYDQa24cffsRd8eBw39q9dpFRSisnGR1MFhXENlNC AZNGelQqQMa1wLgYf1/FBhnO0tjS3Ksw1kHwJLkbWw/S2CLYSLEUGTx6VdnLDWUNgLDIbE5TSYyK jFG7qI1LhgaUi8UMmlkA5pfW7cu7VtlPuzCoAVhHIkLlQNSDgoAEFg304nyMgG8FfEHtKIY11WPd U9rsfWXPov77PJcS+J+iCUtZSVknAdtlto3/pWobJdM8NeQbpvS+WPLtRcwKBzPnLwDywJhVL+pN TpybldYHS0HbXmLpCR/aEs9qe+UCa1PJB3OFh+VUybS0rjLJNuYSz7RQNpmRkEDh8CiW1ukOrH/w kk37PZLs2vNHtoDFIhiH3attDeAK1rDR5czOKf0AnSNYrZEdD8b2ldd/z44PXrIH7/2VtUfv2itH hzbcu2M/Pv/AWr0dO7NdG/Wus/C4i0rsBXYBV6xfe+iBEEVsHhXwnofjwvCuLulhl8hV7HC5aFdt iwT6Iw6PQudEZ4jzFBOrMvfKOrGNU1GTrORcVUDrxH8JIBWEzpfBAAAgAElEQVQPcmazJWqtFJIp DFHYCQPbaEB0LcTR3IAmjo/WKSbFfIH2WviFsLlmu0E9Kux+p6enVMO4dv1YE5yGLtQtMqAuEJWm 0DvWuHS03xdbPLGtE/SeIM4HT1BGTthR2VpLWVMpMmRMKPBKj3WlEAAuzhz4lTDPYJOriFk4FgmT pFw06BHDWJFPR10sUGwUtgx7A2/gIY3yKagRs5n1+vASVBlBr5D4XUgGR3odTGzvGhMidTQIItfC gGGhAZcBDpNRz6ox2nRUXi+LDMtQsdyTKltUY9MZi1kY3r3mWDSPCO8rGQOK6wShWOq0KUrwzTlg DF2vvP6mh37RDKVM2OUstvcfpFEDix2JH0Qx6LQVhfUik5Y4IlWGKcCZvcX/v7Bv67Hzyo5b5/Kd S3ezSTZJkaIkSnORJlbmYsQeOJkJkMc4Rh6CwMC85SEI8kP8cwLDr4EBB7m8JE4cJJiMx1ZGGXs0 ojSiKFEkm+d+Capq1d77nG4lncga9eWc73zf3muvVatWVS/Z+HVTktagD+r0uwfhd0QzOAaf34jN F1JeRH2KknCfbiZYJKve7VgF0rYF+TKzXRf90c242Z/GZfTik7iMfm8S8y8/j83zL2NHHaxB7EZd PHv923HjHCL/wBjWSQmonKmS9bl2z8hvDfYCdudzpuyFtb0LH6Vs7eYz6qW5uKkEuYlBjvgY6jjo Dh6utmsX4fGCdMqu2j8xD9MIWGYprZZmeRpI7uax2S+LJruvnZt2P1bnjwGklh51mVjoH05Hk9hT HgUPvR/bPhjcamPfvHmeQnKeEhgQ38qDumrrp3if3iDnFBlUVeohnccwOzO3GeQ6JtG1PCrfZyEd DHYMHK1ywcEh0OIvddSDkwkOngTU2SrWcG7yqDDw7L+RkqdGRHQiC2RGybhaQGAS4pMdO4zqXPXV LSTWk6d+4o8GpA8PmiQmMyMcxwi2WDhEvqakawNMO37UlnxXcquvwbHM+u8XI9j6ZvWgrhiIzF6q TZYdnFV5JSHW2VnDEXTww93Dmis8QoP86KYgA03vy+MuqRLX3APACTOWa7JCgcddaXX/DLprDap7 jYDq16u8ysywKkcEbOXlchkvL7+KwX4a2zNQGACYR6w2QPBhmAFnFBlORgcS6FcsZ9YgovVvxHTw enz28f+I1WIes95lvHHnvXg5fxFffv6L6J/ciZPxLrbzx/Hi1Rex2Q2i313E6ZmGogtwXjhI5SmW gKXrzUZuBjJcC5jYvvHiNrFIurII/L/ZMRwONEO2hrSrS0MHymt4M9cupgq+8rra1jN1w4Qb+HeA S5UBQyhC0sIbXm/zogaA9KV81nwHAfJSSW0JtZRiydkwMoQxYJqKm3ThHQK01kDvw4f3uUiQVUKe F5pilbUhQxEtLnNwSm+0GE6Ikax7AYLxZrGJy8tFnJ6oA9uWOCZjih5hVUrf42YyIEs7ZpsoM1Gb l8w/M9ACUOc9QQDEM0sFCFJENpiOUBDy1AAzVHxvokNkvcBJvo8hTFUyLlPMMV2jqffP4FBxG8o/ 5/OzY7LKZqkTyJfPA+Zt1nS8dFz21LXU8uquDVb5C6YL9Bq9tLL+nO2U9dhkXKXsr87QaSnbsO/b Z2F6ggaj2aXfozG2LYcOzo1hKjRwzzbuOaTJ5EiQXXjYdCYjPnWzUiBRuJ8+GxUuGrl0QxNticgM y6A7+BbINl7OLuOL55/H2fpGdNtljNcrep6BaY43Wm5eCQcagB+xjeV6E0vgWf1dLFbP4/TlR7FZ Po/Z/Hncv/cwfus734tnX3wUj59+GBMAmJt1fPDz/x6ffvoR9are/97vxLvf+X6j5Z7yyNlGduvX tbWib52BwwZket6dlHKhkDCboOWH6i/KyeBOduoaTibITNzKL2Eog/sR7b0kf4bS1VYGEA3yITlj Ww2Lq6OkTIUbD5s3Sy12tHL0Qc4mLecqibHtiXyQguvLSptVIlcdHSnA7GMyAbCuDJL8mp5cSGqX S6A9+XUQUUsGPUHawtLPkSaX3kzGdzEc92LS68WL5/OY90dxejLSQmaDwKxlQMIrYSJFZ8rjU7W3 JYXOasRgX0LcbNInMnioHMHPtiQz77D4qbKhwV0E3TGUAJIWQl/KJCDuR+tY4YBaokyeyqwiDxSS JYcdyxZ3Abl6eoMYgcbQG5L8OFtqtARVBbP83lRYI3HT7sDu6rCCq9Zl3uD58Q7WV5uxOPB7QmPQ ZEBlJKdkgc0SZRBx06niR/w+CbW5BpMO5KCVpUmpEtBoIlaFRIVJgH5HA9AV/0oFg4NrxuHFgwgQ Byhuzu6Kz6FmEfnsudebw66ZHXWwMq2jlIQbKDJgCHICFuogzkdA3me8wTfGJ3T9xWKZDPsxXyKr Qib2l6xJp6d3YnPZj6+efBJ335rF+e234/PeLJ7On8Vgso+Lu7fi/NatWCy28dGv/iZePv8iPn7y Ydw8ncSD1x/G7t3vlejuG69T7DAzwj90C+ZCbzzP6HoLOK62ez2CQPyErPmWpuCghdO3F5OJ9MD2 mC8bQTURGEklTF75Mn5WZInFnhbdAoAvRo/wILI97mAB9jfE5VnDw4xyI8CS/nA2PbhemE8Fb7VJ KidkGavyFEB+f+dgl24kCbDCAckdGZV4Ork1DJ5dB44rQdgtdbmQWdCqS2C1dbKEA23i5LQfs+U+ 1iMPFMsFCdklqBIq1xAsFRD5aCBCeBB0E/ejIkI1e+Dr7FelFS8/JbktjSHrjUOMllaD6EEVdyPy Mw4DO01LyRJl4jCmJ7tYz3KTsOXkAwXNCRhFqOTj/cahPESzw5DBmiXliNjVpARc8ucK5ePqcnG2 KAmY6n9Zgowzn6+ZTJBSRK0uHLBKEpf/wzZhbcB0txrTI6RkNL6G4B7W18XfVZK13kbkT3x+0lP2 K+J/qEqYPFA1toL14of5WaaSLTMuhBnsD6kIL1fz2OQEDfTIlPMpcRJmahpSBjib0aSYVTORv4lp 14uL00kMBosYj2umgoeJ/0DHBac2MYDkF3bDZZyfovtyErcv7sZ3f/cn8e7lJ/Hk5Wfxi+efxnce fSt++KN/HP/pz/44fvP4f1Lw7XSwjdMxFqdKmnysyXdqgfUklaWSocC5pC5kp4lpaFMLl4DCTluF wI8RA1cnWMjLWMVgtRSWkwGj/N/rzAeyP2gKgDAhoMLiEYGUSpkSYCmFawVB/poljfrI6pAl4DUW 15YFWjzAuWTBBM2qsuBz4R2XvND/whdLljIqJBVOEVuzREvKCI/AbEbgroAuwjkwM+VdpSdhsWYR veiNRtq081UsFxi9meR8aVqTF3PI3FgcJdpewaxqB7jpXLqzUPAZs8zFHUJDAQeY4CZkX12Mh8EN Md4jK4JoIw4gnAqZTfb38WrxKkbTzBTc2UIns1NmJqhFoLFpKzb2PBvfKV01Zihtk6awyY+fY7oE AcNtqXRHaEO7OuuYmaR1OHLVO/y5s+rCpxJAVCZS0Ggp0tGZn5Erl5NG0oVzV6+K+ZlnqlIds8Gz WMEeLMmj+LLkjDMgNrLYGU9dd1YS4tiR1Q7Me7coIz6YzFjj+bA9DO9Ddc837CI6WWgouRkjYIea 4XUff/d7P4rhqIv/9l//NH7z6QcFgGZJQM2lZoaNfBXMkikyA/yUquggXrt1Hr/zg+/EBx99EH/2 838fn/315/HbD38r/sk/+9d8wb/+2U/jl//7PzNY1crZHaVsz+bJY26QVURdk+OUQylIYtoAM1H2 fBMzXGRIB76rWZK/h8Uw34Kv00VvvYwl+EEAc8E3OUq96/KrYzcMDKAOsFZXCPPmx2ksyWFLx2Qx 1hidCpbucnL9UFFBGJJOZrWDNWDtQG7LJHHTagPT84nULCL20Mjfshmb709IoQYIAc+11NYmUreM i68A8bVE4/sOIk5PR7Fe7WK/3uAE4EbfH9Ed6uxnLWs0A5iZdXIXyv9uOF2id5ilns+a2RcvpGB4 5Ar1QUiFfIkONZSOBUKA9ttkzPIRxhfFsKPQXnLBZ0lujp9oKup2lfLpMB1pDsu2j1DRcXWpD6cV zMNric9twFPGrOqnV5yYKg7lrPogK8nLIx5nwxbmz8kyJMBdOW1fx7gHdrWClyFG5oBRs1Mqf0FI k5M0WjwdgVehKSfRQGGW6eydLksQ6DTpG/OhxuTwt+BxcrWh05wQRyHINhfH4nYlvY+4e+9BDLq/ T3G8Tz/5pWauuAhguljuHr8vEDCliZNDBQXL0xvn8e63vh3nt04DFcCz1Vfxs49/Hl9tX8WP3/0x +Tg3btyLsxtnsd+v4t6Db8pkspzCxQchSx3dZHNCvBhw2k26My4iubWAP1OB1uLCc2UBOFDh5uyp hcXRi+UyHv/6I8oyU2YH83BdF/P5nA8G3bVyoqVG14MH98si0cgEGOVQJEhCHlNwdweTRJpZGYJq SaVTLO6QwXxw3tbRkfxvAdRZPlVotemq6DNjzMKLXCm7bjK7XSRnihoib8p8lcS/gFPZIl2BxJiK sSgRL/E+ozGGmZci+pFKZusxx7jEieCMMkT5Cyt7lM55UHHhNy36knVbDti+8vwgUu8Y9GME3hZe u/CRhNkAjyWEnxw1S/Agq0KDC1hWv8OYjycmsgxk+eLRHi/Jtq/X/rt+NXGrPKODnydO1DS9/YPD f1/5Mn6TDSR/lmuClX+/xX685h2MD34/ZZmO39mwBJ4l1wVxwKS/ZBmow6ViXvwZYgIHmauLE8nf 2eE8SETSdMbMd4D7y+2rwkO8cl/z8w3nM4zFSJURxLqLi3vx3e/+Xnzrm98ngU4Byx9aWIq0uiHm pWlrn6I0Ih1G3L33GkHJ2zduxQ/f+3tx7+IOF9cJZoyGw3j7nW/E9GTKiHzz5k0GhMMNmQ+conEO PLqJ650wEQHIQ2I/2ViTJF2Rw3Vr/uih5XcowbyBYB1IdJAvWcZXz76MF89f8Brt9YaTmt03lllS vMT1PnjwIO9o2oV5QTIbEIAOQLcNSibnVekTn+T152W28ABxa0iW2VFDyo97elWSNzMD3j5sbusM EeQoC01rwL5w21qOVQemfLY123CW4rJBZSNqMyy+/KOcv9MoR3UpLpMK2TlkkwJA/3ZVhAHpJXEE 5jBTSyzGN4YGD0OUHim7k4KMcIPWesW6VHZXuEVex3jNbhs7CAmuAWPgPvqzKjMs86z/n1m/5oaX fxmLu+5Lw/xfYxpxzRexQxuPtm8XV966ZFuHv9M2V/IQsobIbhOjYhhcv6TgL4Vhgd+VJmbpbWnK CYuTkw4/XSk/bbTqA74cvnngkKJB4jfUXtA0m8R+B84W4AULAdTP096vIfhVIBaCDEj8YwjNqltx cXE3uuFUgYizPUif5R/ovL29EDNywSWSCmEXg+0w7t68E3dvXeiNU+8GWkmvP3x4MDJaFhUekomC 9FUTjuLHYhXD+jDYgtDwMNulDlTXYFZNGUim9m4Twx001PfFRZdtf5aI2BSYiZNtUTcYcVMulytS AqByyUCbJZP7heaaHC2rKhvTdHpqFlUDVjEpPT7HzVYmwJ+nUs5T5mMtf0S3F242ay9bVkWYlcqs DCRJmjQw7ja1gOTGJIKZojqAbo4wE86mwWK54giFbKcURGqAE8WBw+zJysbhgu9BLldjQHWTltiU s3yHG9QUAvDA5OiCzBX28/in3IasDOQu7JJP/3SjfqzWEau1cLbRWJ9d5Y1HrA9WzhVyp6/1+Lw4 zm7q72n2brtelwOrVo3Xy85o7EgHZL0pUWGOptFyLITY/m45+XKPIljhgMb1AKcsWFTKYyOr8rC9 MzNZlylQ4YDzfJ/XFaghpSR1XWp8rKypfjFcVQDUcDSgE3R3US3ZrToj1pXu/vDsDAxqyUf4jUy+ FOMXOIHUAVs1T+GnLl/clrSqr0Yb8A+JZxb1TyxCtuqH64BzZn1gOQAnF/oAIB6UkQHV5MIVKq9F ILIyP/FlmkV2zRe+C9wDf94RyN/HYonRi1689ehRvPnmnmXgarOI0ckgMGqIz3E6uRVdfyLGtjEm ZhFF2yFxuCo57AdYZSRqecXvFm88cX10/VcDbTkt88TF+wArdObrE1TBOtvGB4ius5ue3H0zNVcX LbulfasuNIPc6SsnZQnxlcCnEaCuF6YKAxbeahPdFOmPWvAqW7WwsSDFydLmcJBl9/YA0xKwTgAX pz95Bzq8lPEI92BLHtygHXCq7ECSGqLsCLpgeE0NMaMBoMF1PDuuQTow7SExH/ulOGzjifA1dAKp 8dY2lVMjrWBI7WpqypX9/yPwFBzumgXZZv7NHx041lx52V4tT9XcuPojryRzAiVnpB8ig1KmVJMO rZwtTU9ZsYAK0mTarK7StEacu370thj/QoqxkZFq3gNmW82BjIQC6wBTMWhgExeHMxas/HYrWDfH lmNles66HyK4uilzIC/Ta9Jg6t3QiFeck0HBWJKDky19nI4cREWbOTMb+ZABaAOFf0jiqW8eLKB4 wlpSpsiA6D0m3YmkUXd14whjke6RNNntu1fTTRs2QInSN/daOgJVBmDMCGwD5YjoCB2JhgoC/Pt+ xAhjGP1F01WzLVbDAs8SR5IzasmaMa5ru648SHegxHSUddXD4pp4Vf8yuz/wkLSmVWtRz2wYRgJJ 52C5loGOp3Lql7eBiq37DJbStGrm/JqNqMPLzYOcHaP2+ZqqDee3zziHCtDV9lC8hpQdlvZWldQ1 18ofWHFbOkziSCUDn/6EytpVCnYsJUjJAMC+Q1ZfiaUMDMATW4kVCAyWoW597skIoo0Ry/kuVute jCYWwst9kIFZB4EPzpoN+TO4bHJgaeGpNoCwNAalpJRhrf3y1SCHwwzZFfHdg2jVq++dHCZJex9m dPW9Pbam3jtLNxjTkqqQyqM8nBITsxFuEkMtKYP9R4OK5JF5ssKfGT9D4OrS2dWlqBIMZa0j4I5w 2Oopwyuy0/teTMaTWKFT3435nDFGtdygM5kB1pruirJJm3dqWBsb6rjhpCqnizpiaD+68VSNDvTC nMzf92PancfJ8KZu7OePY/Phz2LfTWL4g38Ql5uv8iRU5oaSC0A6AuNkdMoPpJMV0To/IKJ6AtCD 3ZrlnE0XKtnv64PVbLOL+WYbg902MG+N0rTrpuJ2pZAYMgh6EyIrxWazsFlK7B5jD6SNJk+Ib8PU Fgug8sI0XpPqjSSZWk7ZuVPNao+vveBWVMJUsHJ2R8JqkYEWlQDB6oDbkxpeCIzswKRmuXFAl2ia 7/NnVIcRBpeWIVGGIMayOUeYENis93F6fhbdqMvhbeMpGIgXxukMSRl55YFhtKfOiSWB2WC3M6/M pM21c2lhciQHs2nyC9II8EipZW63Ff1zsNG4jY5bBMdpt+fsIuL0BpnW1O9dpY6K3Iq718dlaxOk vuacaTKEJA8XanAt5suqavH9EtQP3+swmzsijZbSRZ/dJOUK4Wh97gbqyHFAOcs7H0ZUZAWPjea4 cuhmJ1ocHB1C7O6aDoP3VEDrQllWBeM9jL2N9Ra0DryOoAAYMtPWb/UqpqMzQjUkcxduIcjsh3X3 kG+Wn1Eky7SPooUTKPPAHY6o/Kmr47Yl0u3VbB7b5Sq6k9Po4EnHRSYQFotqO+jHfDSNPk7P/S6m o5ua/wOb1gO4PWQGg5iOMFgKsipkJlaxWL9UdyIXvSM/b0gOxNLH7yiYMDVl1hHxYrXmsCygWmRS EMb3Cc6uEgJiY3RBBxAtjQJaO7UvJyp5lpnh+EZbd70og3rq3HLJ1ShDrOOaxRxTGvTX2iDIYGUE m88n70XB83hfFAAkTZMcllyk4nCJe1MXdTXFoIqE9HGKxVbZWvx8wOtyLCVb1Bwp2q5j2p2IhU41 h8yaSFBFZqPyTMFaQoB6f5UkyCDUoXQXU9IospqyOUSWaMjcOSZScUxyqYi74PQfUerGz8G734oX Xh/OmkGQjvEmZttNvOJMJDqIUuCwQxMkl+itmYqvTQVYnk9Jlq7D0ZvunFuE+4ZDV4KPlQuz2yZx PE93HIPpUSgvbVfYV+QDS16fGKXz3lWjCmkS5nrddOEMpV+8sZBj0ykZAS2AzoYP5blB1M3OPCcQ 0ky1oV/YHEaHCxIDBTbLUAsWgK4ckg9njWtCFziQ+eg5N6qZTak1NDfBkZhzaxgQJsgKp9zKkyoi b/kwtk8+i9VP/0ssf/Gz6N19FHd+8q8KudDlwAYp3723KBky2qnrRlyjqAWYY6RZJeFUcPGQB9xo J4lU8WfWbGujfEBnwWHieMWgE4i0n2TTNJlAyio2dgaKsiiMj+kEkd1TVYmsfJY662g5HAKXXrFN Z8mAoXhX9USsi89644eXXrMsL0mUbTCiTKZ4ZnLH0/QlE2zoHCXdZ8dS16pngv/ORc/3r8FSlFhN 8bu5UV5b7UeVDlANHfVj/hJzoxXUhTzyZAK8qpbFhRxadoY2KTqy/R3mG4UzIYMrmzjvM4MsL9QY TNN5LOVVHex18C28vcSOLFuk4Vvdn1E3iN1kEHMYWUDxBJQU02raIMeUG4dmBcBL98o4bPPUDgKM boTem0P3CkiYHGmfeX4yYU3Uq1eWfgWg2rcDiIfvqffTKyFACDLwPcXewj0WPg3YhbAPYaBc++iZ 9zv6gjrjEgNAOLStvaw6qs5hxWPRoANxmVdAnazKb2tgt8xY04ybWT6oQigFVxzlwgSFNdFwUOpe 9aA4muTEbENzzsuAsUdfszWtDZL1MLo3mZqvv/gsXvzyL+PFh/8rutkihk+exPnde4Ukx40C2Zrb 9wnSDilAbyKbSGfEiJKEKvkLbRy1PaclrYc9NjtOcKBmdtbagstjAvyqIj5GB86dhAJTXrb98smB spcERFIY0CyYxBLl4/Bqou+w4zq9qEQcRJ3622VS/vgIvm6FX/MlnpY6bP5ldVQ9cOQRoXZhF0Hh os3F1yKJw0HNGbO0t+qgioKk6SR8PnwmMk71XCTu3XjaZzklnl7GDngSzoWHDQDEE8HNAJtGHbKR TvUNbBbIcNPIMwHkhv9VGhgEi/VtdtBSEE7E0Syy0gxWoH7joNR0D9uAQzoEkg7MJm52gRVl3Kf9 pz6kQ46Qg2U5iyqgVZdCAujIQjQLqdY+y/nSnbzaajnEYvO6j9ZKu6IKabQeX6Wrqr0okFsfI0tq 2vThM0llVMmvOFoYdrcsNwIUq6aUhrb4Xy1Lxayn61Bqvhfuob0Hki9nGo8PyaLUC3XjtUQ7FWOb kyCf43CxkFMN57k4tZ5zWRmwwCiXxrdwIjcVeDNIDdjFdtjFF9OL+PjWO3Hr7lvRf/o0Tm9flNfA xcAYMbpBdNNUJXRLNgH8Y6EKfLj5fEYsSdPfOjVhETaeyOvM7N/yN5iJ5MyTMkVsTWhuAVNDSlkD x9WvWsLJabbbjyQ9A8AVYzYDYUftFwN9ArXOlhRIqqzxla/ruk1JRfD/q3QPN5wNbh5qI2nr2wgg pWFatvQBf6sJdg2uY50rBP/yHMq11GZZdVVx1mL+mFQbXEZT7AAGEitsDmhlQc5GXWYpPKsclLRJ aRfmGqzD3FdwGdM18tqVZQoPVMCq9AfRQ9TUKA2NptQ+bsool4RjjqgWVqJuA3599s7o2sOhXRH1 Pfwd/duuO6KBkO2U+mA4vA9/P5/ZNct1/7XrqGHd5yQESnSneJqUUKOGChQ5s+Z110oKaeh5CO8q GU1wQDyfDXHQHOD2rch7S0pQKDOj7yClfEyIFr4aSAKgl93AIKhk5N+CJg1gBRDVXabqeWtAOmL4 6vJ5VUYgEK35N9ewCjbjhkTnD6hacw+A+s7rcfnm9+Lz1Y0YvvEoelA+aPgX+OXns2fx8dOP48HN +/Hg4kGetnW40amumc+4JgjOLeabmIyn7BpIB3wTty9OY9xhDm8bu/Ui9utVxPRGrHPuapTPThgP 5HSxXMAtEc5SGfBalt6QLA2ZSehyJEAGRv04N0RdVD6xhM0Iy5Oee1WEr0DtQcJezr9kSpUHU8ta L9u837l69RmwCHVPeSJy76gzqLKnqje2q92v5f+y9ljZvNj0ZsWbuOfwws+RdBS8ul1Q3DpwYKAf 3Y7NDOBOuzmHIpTVNmxsUjO2uxhh/CnLClqEYSD62MpKkalsQgbV4qUJ27a6V9vcx0oXzXfqhm4B 73SYgZ7Xlpgidk5KBPkzOjuzbHNxWW7jhJ7zlaZMyRab30d3k2J1cOjZEviXvEozylH+vqVK7K+8 9mFSV9eyn7L3q9Z1NZRQlqzsSp+5NT0RxIFDhkoPzKZQfWE6AZLFGMPzHlemJQXSvspBBOQUaVQ3 GAFHI1hwfNYnceamEhwy3CPM3TqjhoJITrcIhpI00dDdr9r29M3QdHX1yzNSlHwXLNC+zCL23SAm t2/F3TfeiIcPX49Hjx41RDwwmLfx88c/jz/+i38TP3rzx/GH//APGXnLA80MDim5SJHa6LhZ02lH sTTYkCOI3bp1HlMGxH6s5vOIzx7H9slHsX//R7Efjbnw8GmU6qs1rfkkaElp9qksxFxiLWZUxPIZ sK28WAmU3vYlBPHb2uwqTwdXFp1v/DHOdjCikYGiXZR1a6lMJg8tu2SFEc9Ag1NJi8ruJu1KruHy 8BUPr+XgbC9YnCkR6gR7IxiryyBLECNlQLgJ5EMIkwkW/rRSzyvgolXAQTMErw8ZY9w92MH7JOfA rztdjWeex4io8T6EcYb9cQp0w40oFYGr5E53Yx0AyTzaQwYZOK3oD6WKYClcSxZTGA5CngMpwO2G aOugRtZ3+miWAeW8vxRc7HoxX6xEAbEmm0m/zevXgyu/nJ36dG3Y9j5IyEIvA/qmK9UJEk2saN2w M5pqq31SU7T2aWaC3ja69jmqh0ac9ih+V5LVem8Rz5kNcZYROm890hmK4xOBfAxO60vTGOngE2Nq 62ke0ZM1WVnkcwONpUbw7EggknreCxpA+IDjwRmB7jXXDuYAABdWSURBVNoylw012/j9dTx+/Ov4 4IMP4xvvvMmfL5d4gL67Ee9evBf/4rf/Zdy/uM+hU0yAs9vAiXrLuUaMMG6fp/Bo1NH1F5nWhx9+ GGdnZ3H//mt0+h3CQAEM69mzmD/9VXTxoziDf11x7Kg0ASxycFrAg2FpUkpDAdYExLNFbrXDynNJ ze/j4VRnM43TSOkwZslk3pKIsz496j05ChmVBFrWpCV2arak67OKhu27vB3qdZpJXOcWMUGADA32 VZVPBSzSBxAWZsHjjvAQl73q5HjTuzyzO7Ui0GIBk92+5HqgktDodlHRGk0XyCqDyArSLhb1RKNQ KMMLREGcS69deHCJaTCEQ6mB00fZ/reeWBpeICvHwYgmSj7EGojTVr0MlSOm5miQu6uC+EXxqNnK 4ZczQoDEyEzaHIg0DUjDgJg6VkZSrqP5mkzGsVpi5CyDVbo+mYDptRA+bJrDpVTVzaJyDON6MEGY mYq8APncUe6h7NsvCLzTF4D7UE8T5G0rpHDSJRsGI95PKXjIczK7u4nTaSgfMtKYK13GereIzQ4Y NJ6v/CnLpAb/cZRNPJjlcrPq7IWaG2eolJBL6vBG5mkCkG5Ax+YWYBPWhSp5uV7Gn/7Fv4s/+dmf xMdPHscn//aT+KNHf0TtcAHaiuJ3L27HrfObBLQVzVObJlN+C455Hgn/rNZLSvDib9577z1ez8uX L+j2ggW26k/ixf1vx/PBrbhYgcF9Soa6VASkh4QyChuS3cFyAh5GDj9wAYEOVCkkdo1onrEcT9GL RHn4M3wmlsxFPdSnZhExuoa9XP9Vgk8uLmZv6WZcr0NzX+J2CfQ8ZtArr0rZ2UzrBVM5W8BpauIp fkfLWT8TPuaOog6AitPhc24gGZKbAif6aoEFO4zRZBTTCbrAYC+rmQLLLTwXBCukMcioAV4gs7Kp QWFJQy11jbEUseFVlmp8RCoQkqoZYdwlRAhG2wAd4ESS+LfsZrHLlNUCAnR+tkLRIaFTh9p2Y7fx 2ngSQVckal2LDmo/b3bjSmJlqk81UhhiXOIwea6BDjbFgxHNYnmoZjMD8kTtHwgx2VdAgtnfvlrL N0C7szI3lOqESq7lZnymhD4SjbVnKB1DE1w0WVLoIB2PHCwVdBLLKp9Ntmzwx9QBoz2wWKZKQ9Jt ADF5jE4O32rsEZUixaHaiimDE4WCAQs40GAEfg+kUJIw6KiXm7JcUQJ4fLG8UFz/arOKRW8ei/E8 VoNljlaoJLSgP2IBorNHetQE8AmSbek8SZz+nd88i7MzkS7Xm1Vp6yPzAicJQW98chZnFxHTs3Es ti+YuXluDRmQfdEUixoY2jyWIxaxsR3wQnBt4xEExg6/tNBMAAWrvw4F++d18eK76ogW7KxZi6XE 4GgSjCOhydS8lkFQqlomvwodrUy72zKysOdLeaBA15Jfa8Csfq/oygjHqq9jWWS7Atc94XDgTVeJ nghIIGxC5A3qoxj7IHax0XA1Fy3n0hHc4EGI+zup+E22tvf7jtkRA0OuORkWmNzoelGbHlwhlJdb ai+hsJCWPk5wXjuyB88J0mcxzUuy1MWPBgNswHWs5ts4OcOGUuufHLjsZAKjE1NfuJskVDLjBYM7 D0dmtA1vr6yJJrDzEEjWvQ9GZINUmbAxShOkRGTtpRW8DhGXiuoAt6N1TZQrWFdt2OgaUAHZxl4v zeMd2RYY7chKeVqig5tYZjFrqXJBBWBI8QMYJJcDjgFLWSqbbgxW8IwAuUrPpjQJqD6i919tV7HZ SOQA2aeCbK6PPR4UdW20XquoRrOZ0kJIQ5FaPFiA0JHa9frx/qP34w/Wvx/PFy/jh9/+PZ6Y7gLq hNapo2Cl+vT4tPG71c2GNBp8DkTXffTX2xhs19F78ji6196KXXbtTsajGA9uRAzXMV+/itVmLn+0 /YSbn6YDZXj68KtC0M33MojqdEkb7Xz4Zb+WdNxlWh3yLSvkAGBvD4C66VvQHYEVZFnN9Pn9FJhY tuViUYma8rTFTLY5MYuRRsklE29As8HcqxYfwc8VoJjhNtIg+hUHu4bgqE9dFipJtqCM0BQCzWCZ Q4ieIqsxdZ8ROJRp7bbQn+8yg6rcIpKAB/AWaORdigRvPcw4UUjm+j46ZLr5ueA7IGPVbSCRE3hc TUM9M8cxJc+ggvQKtZLpjtZg88s1jV+lxkrgRF21BLcYcNKw1tlbaULkdEHByJLQy8xpAKxGzSPy jyyNnfe6UBxagURCFeoo9kp48DOqdmomLh+QnVo8zes2gz4Cg+zysrJwEMqGBTlUbIhp4LmdhnFG J30zBVxcB/YecKsKT9S9oioH3EtlVmTkkWWQnz3HyPA5nj19Hk+ffs59eHp2wobM7NWMrzmkn5ul TY8uSDIRdqFxa1up3TpF1/Dfbz/4Rty5ARpDP956/e1i983TJyfTzZcqZLRyI6+kGt71heCogLeL 7exFbD/8aWxHN2JAo9ZtPHnxaXz85a/iG3fejG6U7VMAh8zqpI103MauTNxDLMHvrdMTm1DA6HWh TllTBqXkjikTkUqAXl6dkpaP5vEXseMrO58ZVk/cMne0tCkQOA3YK1BYQ8iBymMkvr84Ocv7FuxJ oHFpF5cOUy0llARUp5M2uPl9oOvuWyXTALemtamRVdEJCDZdA0krs8WOExubj/EWJ23HTPkgwy0I ec4/lh+VIrlh3Vc7KMyCDmnBVcshBPp1D37lLlksVeSG0kHrhM8Zyhwshdab2G9SCoabCfcMhEhg rPrc1qe3S7JAbmnFAfOhdyNAbSgxD8DnG7AU9oGNDrREG3M+N9ec1k/tDCvLUmd07yHoxGDd9HB5 yGzxSpdSCYPWX+2Ok46UB00+zGLphmeoEiwNbPMw8ho2l5EEXeJ+KCPFTq9YbN1rfn6selLeiF3A XIEIZCCSu1ydXc5i/mrBA+HLp88CEljEzRCwMLfHbUA7KoN1LgfUWdC7s9pOwl/EarePs24YMxDF hqO4e/chOTciNoMLJSdnPVSUaOrAyJjTp0M1K2gDhn6mMoXBw+4cMQh42e4X6zilacE6/s8nv4j/ +MF/iJ/87j+PizvnWpupMlF7gc3NO26bNwWYFnNVhJQN97GongN6xQJYehTCul1WFMyZuhOUze5Z DkpzUPsYw3JWdEDy1IN1lc4TGVhQXpfvU8m06P7cBEef/OaHNdhLc2OKBZeInSb01j1dsoUmkwP2 gBJGYGoOU1PTfhvLxSq6sZo4IOxiM4GfhYMVJcGIpXbFCSvIevgMnJHWY8y4kQ/Y+jlQGtH2C00f zniCXKr1gxA3JjnYw+LZ3dSCUckD2GK8j5gMmQEuVwo62LtQEqDDlWhf6iCTC5jO1NkE4H3J0lhY DOCPNbPG8abjgPgAyHGWWy24DN6aAkZVJlVXNDXt91gz2dyxQw3HoZqJjOYgY0XDfSIJJJKDc/+y tMwysAL2tcSXDV6V/WHsLOqieh8EKOK0DH5pLku8Sfu1lpDqxEKbf7CvYp2aOuizsqBxLQa+12uy AN564w0e1p988iTG3TQe3JdY5vBkfLPU6uymoRW5WfC/Iazl8Q+0G5l490YxJqCMjQINIvBJ8Ej6 NBYYI3UGrrWNmJCsqY3IU4wL00zruihNYzD+4s2j90gX5f44uotb8dl7/4in1RkWYDeK12+9Hj94 4wdx5/xe9Pq4KXIAIqu4ZDp1UR/lVFezrLbca06KNhNUKafPAP0vAfbCmbQJ02yAmY4Dr+v6GtTq yEKTAR5I0pQdzECiw4M2uxplKQPZkmqRnEujTEmswy+rml/ZQOIvaYdmGRA1ERqLL5ZWdXjbVvVc WDAmXW6pVovBZxzUUB1FcAIeAYLvfoCyXngOFTgQONBpInHYH03hWPQIvbY7ii7/2ixM+JoctA2c 1+xV9wv3AGUpQHu4vVAKGRkWlGPpXZjdssTtcuS3lCrsXuE2c/koO91ux7FYLmMxWxG41+bU3yBT QXDqbTfUURtNxzE5FeFYIPY65i+W8WqGdYVJD9yXfuw6DABrsBgZIXXYoICalATjpOI+WX/edwvP SVUL7eiTfnK4tB0oZBqhpC19HTfb6KaY6FDAaeENKfjm4LOVWzZrZUHZEfS+FXwi9jyfQ9KGfKCo TMY62sR8eSmVYApF1qYEYY/tnkYwq9Uubt28rXuw6cXt8/txfutGjMZa10PO4+VwKcCuJfVp5Du2 2vXoksNCAjUvmat6QNgmxiZOearBt3AXL1cYYpR91QhjLilTweFlahmh86i/84dUOlvkAHJuy6eM fMzkUtKPfjeKexc343QqMO6773w33n/7fW7g5/PfyJuu38W0u8HIfbjYD4NTmz1d91Uyuyus5dRl b0cTkjxqcTnjGXAFoTAah3Z1MCgcSciMYPJBL1yBZr2aZ0mt8NMHaBm1g8UTnadn+tW5XBokOzmv G5Iu1jSinDGzLjUCiFmi5Mw5rco8zgMDZM4V5HfGzIjwOVaLdcxnS5Zf3WQco+kJh9kx+D67XBJg x1tBSwyy0li4ALLBGRiNII9syebMHgIBQEx7XB+vPX3qkJUo+6olIRc/u4SWH6p9fPyWGNZSAJnC 4GC/C2lIBNcifpl3q3RS67nA4Vr8bc4Lar5RHo/Qwhh1uzi5mFCeZb7GJs51PejFBOayIMyCtcxm jLvdwEH7MblzEpcLXDs6bRGvMLv44iUHsG9enNEP1NLDgDoQBJghIYDi8KVOfl9QBKkoNUN3N5MB Iofea9ad4Zgu57hv2I8wRV6U8t6UBJdzVLugaGdOI/ggSYt7HTYK/P3+qglYCF51LtHdaL0+nguy shk9ThFzcHgChpyvVvFqs4rLy0uqHmPdIQufnp3EZCqOoTFNGZalXs56u4slNKJSW2lHN2KQ+XDK juJ00IsT3LxexITpm9rOlisZ9/q0rMezn6VfIetO3GgcsFlP4wPphnqz5gmZrUx1ZjSdzbEauLew Ld2Li7u3ObDalndElPodHU2W/TkfJlx5D7okR2L21+FabaDCZ7smH2t+P3ERwr+7Sg/IrmDlq+n3 zYVCh69EJuMrLZ0h6UQ1eOgXcEKBLoADQzItuO9VtcL3gaqiBnAdqFhC4DqlaiBSHr4v0iD+hhZe Jjps97Gcw9VZw+ODmEXXWwj4HfRiejKO6VSa6spBB7E70UZQEJWrDQ601WJDXz+uE5RQqVjLSf9C 0G2IqEesbsUj3F9z5HCKe54xN2ljWFBoJixNrJ6ZU7YJdVgE0nFQ86pVXaM2L+yIrH8DFyWVYLCP E1nzcQtxtAZZF55tStNoKVs5Qd3J03Fq+iModwiIo1gsNwSZuwlcu3GlqDv1aNAJpwRMAtv79Hvk MBsOguUq/ubXH8Z88SpOp2cxhhoKyagj8r5+8bd/FTfObsT52U1hc6kUOkKDoYOSrgKN9LK0/5xd sZGQ2B6bManOEoHERbZdkEG3Q7ZKamX5bDLggADIjuDX2yhDo1nMQFkfXbb7EWtJro9OJzEdSaOu twPXC82OFe/3dHKas4xkuqPcq47DeKy4uC6lH/Chlsgm+ojOknjB/2eaSm7WYXqAhYUTYggxNwJz yXXJzYuSE1wZUwgo38HX1M3DzUJGBTur5U5Z2xpp92wWH/ztX8Wff/zn8U+///vxzdfeOZh2xyti 7pEecsYomus6Yi9UvpR5KkeBC/8yhlW3zzVRqxBwrv+twr4u4yI5lOzh7zZY5WtYobUUdpTxkXuz CkCrgsp9RMx2tevpdpODwC4SVBqoe1OkkVNkj/wb0gqwMPuxXuw4uAymOkDxkxECgOHRPBxwYOD5 YnNmNqwDNTXc8R6cC9xz40h1wGtDGJLZy0Oc2ObkJQlR1Ia2c6xDgIGOmF2SefN62gaEKSnIbHmf KbEsiSHoocE5e2InpOaUMHaoTEI6Y3pvUUlIqh1CK02ZD7uiyDA4CVEdjkBYpIqn1WATZOdqx9+A OZ5daIzmjEb9mC0ipkNI42gvCPAWHjfuT5MzV0eL1NDakKc4m1/Gl8+fxqv5ZSndEKBeu3s/nnzx G0I5z55/Gav1in+Ocuuth4+SkInPBHSvQiPC4GogK0RWZpxruRHtR7EFKXSrjmfR+iIvLJt42bCj ykg3jW1/zYML1zzsaT55v5FE8/QcslMIXok3cq4RwVOUEmZ5RcCPC53bgZ55TIvziMHiQTREeUjS JUYYMMFNenFKobLMSWE7qzq6hwZgLnkyBq03TPuNETFxZo6CgIpwuNlKgA2D1dh4EwK5vZitga3N 4tXls1iuL8nAB55mMTd1cxK3spQJSgelNalFniMrZS94sR/JfGR2pIrwqhlBCUvZFmerhH/iMZ4K Uhvc7eV4hmVbzPcyIlZfWYsbZEMsSvBRnD3hT0VGrdwclR1oaChouQlQFqEXecF5MliVzqLcS7ar Tcxn0vImFYRD6oPGOUdmq5orE/7FA6bgFKnjhDIplQk66OIj42ZW6ZLF5qY6sCz+eIy/8KRu3F50 p8SZQtCrhFwH+fwdCyvY9gobn8YVICQKYm6Z4sbE+N9UIPFhaqVcPT/OCmO9ekYupZbcvdWV6JkW uIODw9oT7AhaWwzZTmZ5KBeRtWxWmMOj+JMUdCntLF+DajTSKx14PJfJaBpvPng77ty6x2DITt1m xUPi9OQ0/s63349uOGLQwvdJA5qe0KaLhx8CVoNfel1JH0v6/J7cMF4oOWR08Cw/U8eN+BSL8oTG fICHE1IYnMRkcBK9LWhGwnvX5DpG9Ed49SXXlcxc67whEpzdPkUBlWFh/SAtA+CuZ82AlW11gXCw 4QH4t4w5u0G9GHWQwrP2u7ob8gL0mIduNl4f4o8k9mHIcZDdIW/PJCnib/dMr5PfsYdSwl5OKBhf 6Prx9usPo9f9OC7Ob7Gc4HPjJkpGMWtqVLkixkl7vHfANSmKTMRz2v5TPaHthCy/QZWwx2M5bdtW Q8POnFI+hAEK26OK/NfF3dQjR1mZHUdUpuukqt1JuPgs1XUhfuKZQb2WMHkjPu1Vtnc8f58SPAA2 97FdA4NKGdvxiJkV6C7YHOhcWQkCb+dXNmLXEiOJ6aQzDzYiAl5rROEr8q3Es1Ch32apDliGDwwb pEwPn1saJBzcOV9KxRSztypoVDaMel8Guxykzow2J/+KP6S7wPVZGSd0aenOb83ylCn6WiXTAq0v 7C/rzetwTY13Zw2jXizATZsB2AbYb+wu6QpUeW2ycWJ+wxh0Xbx25368mr2Ky9lLOeF0mhq4nF0y oFEsb7uNyegkpqMTBjCphkK7ChLnalAZjKe8OWWV3LASfi2RxZSRZvacQb5dA65ZPD7FZGjFAICM F38yGp4ymdlAv50ANaKMXt+3Pa0S+YoY8VltoM4ik9uhWqQ4T2CMSn/1QhYTt8Zdi32s9otY7xes fwfQVk/nWJ52zFbUZqXVVT7EDiJvLGhwjiD1VbsUF7bOutQSHnioYxBZgX8QOAYekkOV/QFVHh7c faDTPE/Gki2wm6XZPuIybAeLTYzbOHKJkHhEkXXOmTIrDviERJmE04RWVEXIv+YBKie0E/RaDRjl 5jtxB/8BhpQr78ddsvLb9kfkewpHWmOxpYwwB0/hHA0gHJsNFIEcbTJgDGhhOICAnkq0mk26NKwq C8yq17ts2aOxMYjJaUfQszZEslxmi1s4GtdDc+KzI5Ta+FKmFB1kiMwqN+jBlHcBj/Kw4qmqNr03 AA+BPDDI+C6booS8gusYczoMzlbSSCginZLM9kbWT6dNK5c2ZbKPFnfBHLg8AuVA5NLN4L9nJEwN qps5PQiOuH/KtPT609NpvJwhMEBqRlLECCRy82mOm70Jo84AFRjmy1l8/uyzePHyK/4MGRSE8Jhd sTJZxdnJzbh9Y0CiNdbhcCJd94ZeXLh2xLISbsFnhBovMiWzy61I2uIsvm+1gMlsK9ce8LPFYskE BBUffCG3PXHbrAJC+zfOgSYkkkFvuZ4VxZj/Cy8UiGlP1iG5AAAAAElFTkSuQmCC