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5fe5e69 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 | #!/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()
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