s1069.py

from research import *
s=begin(1069,'Common operation-and-information map','What shared structure explains the families while retaining their differences?',{},['C949','C983','C1007','C1030','C1057','C1068'])
rows=[{'operation':'accumulate labelled edges','families':['Regular','Cumulative','Esau','NT'],'retains':'complete ordered field plus one anchor reconstructs edges','condition':'choice of edge measure and roles retained'},{'operation':'round resolved counts','families':['Rounded','SP cap'],'retains':'coarse scaffold and recorded residuals','condition':'residuals needed for exact recovery'},{'operation':'clip against capacity','families':['SP Regular/Cumulative'],'retains':'lower values; active-boundary values','condition':'excess values lost'},{'operation':'single component reversal','families':['Rounded inverse'],'retains':'numeric transformed components if individually recorded','condition':'totals alone lose partition allocation; no global additive rule'},{'operation':'convert by a Key','families':['calendar','Covenant','NT','inverse completions'],'retains':'exact rational structure','condition':'units,pivots,selected legs and grid required'},{'operation':'coarsen or identify','families':['NT490','Toledot','retained-part paths'],'retains':'only compatible measures/symmetries','condition':'block and quotient criteria required'}]
a=artifact('model/family_operation_information_map.json',json.dumps(rows,indent=2)+'\n')
finish(s,{'map':a},'The families fit together through a small operation inventory applied to different source-labelled objects. Their strongest links come from shared source constraints and controlled transfers, with explicit information loss at aggregation.','Close the research-computation phase, accept review qualifications, and turn the results into the Strategy’s integrated explanation.',{'six_operation_types':len(rows)==6,'nonuniform_information_loss':len({r['condition'] for r in rows})==6})