#!/usr/bin/env python3 """Read-only verification by full-space signed inequalities and Cramer's rule. No import from verify_primary, legacy checkers, scipy, or discovery code. The catalogue orbit enumeration is inherited metadata, not re-proved here. """ from __future__ import annotations import itertools, json, math, time from fractions import Fraction from functools import lru_cache from pathlib import Path from collections import Counter F=Fraction ROOT=Path(__file__).resolve().parents[1] COUNTS=Counter() def insist(c,m): if not c:raise AssertionError(m) def scalar(v,w): s=F(0) for i in range(len(v)):s+=v[i]*w[i] return s @lru_cache(None) def det(rows): n=len(rows) if n==0:return 1 t=[list(r) for r in rows];sign=1;div=1 for k in range(n-1): if not t[k][k]: p=next((i for i in range(k+1,n) if t[i][k]),None) if p is None:return 0 t[k],t[p]=t[p],t[k];sign=-sign pivot=t[k][k] for i in range(k+1,n): for j in range(k+1,n): z=pivot*t[i][j]-t[i][k]*t[k][j] insist(z%div==0,'nonexact Bareiss division');t[i][j]=z//div t[i][k]=0 div=pivot return sign*t[n-1][n-1] @lru_cache(None) def reconstruct_positive(normalized_rows): n=len(normalized_rows[0]);integer=[];rhs=[] for r in normalized_rows: den=math.lcm(*(x.denominator for x in r)) integer.append(tuple(int(x*den) for x in r));rhs.append(den) for i in range(n):integer.append(tuple(-int(i==j) for j in range(n)));rhs.append(0) verts=set() for ix in itertools.combinations(range(len(integer)),n): COUNTS['full_orthant_bases']+=1 mat=tuple(integer[i] for i in ix);dv=det(mat) if dv==0:continue b=tuple(rhs[i] for i in ix) sol=tuple(F(det(tuple(tuple(b[i] if j==k else mat[i][j] for j in range(n)) for i in range(n))),dv) for k in range(n)) if min(sol)<0:continue if all(scalar(r,sol)<=1 for r in normalized_rows):verts.add(sol) return tuple(sorted(verts)) def signs(v): ss=[i for i,x in enumerate(v) if x] for word in itertools.product((-1,1),repeat=len(ss)): w=list(v) for i,s in zip(ss,word):w[i]=s*v[i] yield tuple(w) def inspect(c,rows,points): n=c['dimension'];savedrows=tuple(tuple(map(F,r)) for r in c['positive_rows']) insist(tuple(rows)==savedrows,'description mismatch') insist(set(points)=={tuple(map(F,v)) for v in c['positive_generators']},'incomplete generator set') normals=tuple(sorted({u for r in rows for u in signs(r)})) directions=[tuple(map(F,d)) for d in c['directions']] insist(all(max(map(abs,d))==1 for d in directions),'direction normalization') insist(len(directions)==c['direction_count'] and len(set(directions))==len(directions),'cardinality') products=[[scalar(u,d) for d in directions] for u in normals] A=max(sum(map(abs,u)) for u in normals);B=max(abs(z) for p in products for z in p) gaps=[] for v in points: for u in normals: g=1-scalar(u,v);insist(g>=0,'generator outside') if g:gaps.append(g) g=min(gaps);allmargins=[];checks=[] for pv in points: for v in signs(pv): active=[j for j,u in enumerate(normals) if scalar(u,v)==1] if not active:continue mm=[min(-products[j][i] for j in active) for i in range(len(directions))] a=max(mm);insist(a>0,'unilluminated boundary generator') allmargins.append(a);checks.append((v,mm.index(a))) COUNTS['signed_boundary_generators']+=1 a=min(allmargins);eta=min(F(1,2),g/F(2*n+2));t=eta/(a+B);h=t*a/(3*A) for key,val in [('g',g),('a',a),('A',A),('B',B),('eta',eta),('tau',t),('closed_Hausdorff_radius',h),('blocking_slack_lower_bound',3*h),('open_Hausdorff_radius',3*h/2),('inner_core_factor',1-2*A*h)]: insist(F(c[key])==val,f'constant mismatch {key}') target=1-2*A*h for v,di in checks: w=tuple(v[i]+t*directions[di][i] for i in range(n)) for u in normals: insist(scalar(u,w)<=target,'signed inequality landing failure') COUNTS['signed_inequality_landing_checks']+=1 COUNTS['uniform_landings']+=1 COUNTS['certificates']+=1 return h def main(): start=time.perf_counter() cat=json.loads((ROOT/'data/legacy_catalogue.json').read_text()) atlas=json.loads((ROOT/'data/robust_atlas_360.json').read_text()) insist(len(atlas)==360,'atlas size') radii=[] for i,(old,c) in enumerate(zip(cat['certificates'],atlas)): unit=tuple(tuple(F((mask>>j)&1) for j in range(5)) for mask in old['facets']) pv=reconstruct_positive(unit) rows,points=(unit,pv) if old['body']=='P' else (tuple(v for v in pv if any(v)),unit) radii.append(inspect(c,rows,points)) if (i+1)%60==0:print(f'Independent atlas: {i+1}/360',flush=True) c=json.loads((ROOT/'data/cyclic_certificate.json').read_text()) rows=tuple(tuple(map(F,r)) for r in c['positive_rows']);pv=reconstruct_positive(rows) model_h=inspect(c,rows,pv) # The actual saved landing vectors are checked, not merely recomputed summaries. normals=tuple(sorted({u for r in rows for u in signs(r)}));ds=[tuple(map(F,d)) for d in c['directions']];tau=F(c['tau']) for rec in c['landings']: v=tuple(map(F,rec['point']));di=rec['direction_index'];w=tuple(map(F,rec['landing'])) insist(w==tuple(v[i]+tau*ds[di][i] for i in range(5)),'saved displacement mismatch') insist(all(scalar(u,w)<=F(c['inner_core_factor']) for u in normals),'saved landing fails') COUNTS['saved_model_landings']+=1 rec=c['landings'][0];v=tuple(map(F,rec['point'])) insist(any(scalar(u,v)==1 for u in normals),'zero-direction mutation did not hit boundary') report={'status':'PASS','arithmetic':'exact integers, Bareiss determinants, Cramer fractions','stats':dict(COUNTS), 'atlas_minimum_closed_radius':str(min(radii)),'model_closed_radius':str(model_h), 'zero_direction_mutation_rejected':True,'imports_previous_or_primary_verifiers':False, 'orbit_enumeration_repeated':False,'unrestricted_5d_theorem_proved':False, 'elapsed_seconds':round(time.perf_counter()-start,3),'determinant_cache':str(det.cache_info())} (ROOT/'verification/independent_report.json').write_text(json.dumps(report,indent=2)+'\n');print(json.dumps(report,indent=2)) if __name__=='__main__':main()