from research import *
from algebra import Matrix
s=begin(1156,'Compare regular and cumulative parameter visibility','Which parts of the shared source change are invisible in each chronological measurement?',{},['C1154','Strategy §§3.1–3.2'])
d=json.loads((ROOT/'model/postflood_amplitude_dictionary.json').read_text());R=Matrix(d['R_mask']);S=Matrix(d['SP_A_mask']);L=Matrix(d['LXX_A_mask'])
data={'regular_rank':R.rank(),'SP_lifespan_rank':S.rank(),'LXX_lifespan_rank':L.rank(),'combined_lifespan_rank':S.col_join(L).rank(),'regular_kernel':[clean(list(x)) for x in R.nullspace()],'interpretation':'regular seesu only; SP cumulative sees t only; full LXX cumulative row differences seeu,t,a'}
a=artifact('model/postflood_projection_visibility.json',json.dumps(data,indent=2)+'\n')
finish(s,{'projection_visibility':a,'ranks':[R.rank(),S.rank(),L.rank()]},'The same source dictionary has different visible information in each mode: regular ages see only100, SP life differences only60, and the full LXX life field sees all three amplitudes. This explains aligned births alongside different cumulative structures.','Determine what is lost when the complete lifespan fields are reduced to their outer totals.',{'regular_rank1':R.rank()==1,'SP_rank1':S.rank()==1,'LXX_rank3':L.rank()==3})
Evidence
s1156.py
Edition and provenance
s1156.py
SHA-256 5fc70257d8b79b266ce2725642406de4add6ba73e5e2d12b87916b038bb6b617
C480–C1634/Research_Cycles/C1132_C1431_Recovered/evidence/s1156.py