Nemoriu-Research / src /verify_pair.py
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"""Exact finite counterexample: cheaper repair need not be a better improver.
Python 3.10+, standard library only. Run from the research directory:
python3 src/verify_pair.py --out results/pair_counterexample.json
Enumerates every degree -1 singleton proposal and every matrix-unit input to
the pair's higher-homotopy identity. No sampled trials or floating-point algebra.
"""
from __future__ import annotations
import argparse
from fractions import Fraction
import json
from pathlib import Path
from core import (Meter, Problem, add, differential, K, mul, nnz, positions,
repaired_candidate, valid)
def example():
names = ("x", "u", "b", "c", "v", "y", "w")
x, u, b, c, v, y, w = range(7)
d = [0] * 7
d[b] = 1 << x
d[y] = 1 << c
h0 = [0] * 7
h0[x] = 1 << b
h0[c] = 1 << y
h1 = [0] * 7
h1[x] = (1 << b) | (1 << c)
h1[c] = 1 << y
h1[b] = 1 << y
Q = tuple(1 << j if j in (u, v, w) else 0 for j in range(7))
P = tuple((1 << j) ^ Q[j] for j in range(7))
problem = Problem(tuple(d), Q, P, tuple(h0), (0, 0, 1, 1, 1, 2, 2))
return problem, tuple(h0), tuple(h1), names
def verify():
p, work, generator, names = example()
assert valid(p, work, Meter())
assert valid(p, generator, Meter())
# B = w*g; partial B = g-w (minus equals plus over GF(2)).
B = mul(work, generator, Meter())
assert differential(p, B, Meter()) == add(generator, work, Meter())
def L(f):
m = Meter()
return add(mul(B, f, m), mul(mul(p.Q, f, m), B, m), m)
verified_units = 0
for i in range(p.n):
for j in range(p.n):
f = [0] * p.n
f[i] = 1 << j
f = tuple(f)
m = Meter()
lhs = add(K(p, generator, f, m), K(p, work, f, m), m)
rhs = add(differential(p, L(f), m), L(differential(p, f, m)), m)
assert lhs == rhs
verified_units += 1
available = positions(p, -1, Meter())
records = []
for label, gen in (("sparse_h0", work), ("denser_h1", generator)):
trials = []
for i, j in available:
a = [0] * p.n
a[i] = 1 << j
meter = Meter()
child = repaired_candidate(p, generator, gen, tuple(a), meter)
is_valid = valid(p, child, meter)
score = nnz(child, meter)
success = child == work
assert is_valid
assert success or child == generator
trials.append({"proposal": f"{names[j]}->{names[i]}",
"success": success, "valid": is_valid,
"child_nnz": score,
"candidate_check_score_work": meter.used})
successes = sum(t["success"] for t in trials)
probability = Fraction(successes, len(trials))
mean_cost = Fraction(sum(t["candidate_check_score_work"]
for t in trials), len(trials))
proposal_cost = p.n + 7
records.append({
"generator": label,
"generator_nnz": nnz(gen, Meter()),
"successes": successes,
"proposal_count": len(trials),
"success_probability_exact": str(probability),
"mean_candidate_check_score_work_exact": str(mean_cost),
"expected_discovery_work_excluding_setup_and_proposal_exact":
str(mean_cost / probability),
"common_proposal_cost": proposal_cost,
"expected_discovery_work_including_proposal_excluding_setup_exact":
str((mean_cost + proposal_cost) / probability),
"trials": trials,
})
assert records[0]["successes"] == 1
assert records[1]["successes"] == 2
return {
"field": "GF(2)", "dimension": p.n, "names": names,
"grades": p.grades,
"scope": "exact finite counterexample, not a broad benchmark",
"fixed_child": "h1",
"pair_witness_nonzero_entries": ["y->x"],
"pair_witness_orientation": "B = work * generator; partial B = generator - work",
"pair_witness_verified": True,
"higher_homotopy_basis_checks": verified_units,
"cost_warning": "Expected work excludes discovery/selection of the "
"generator and one-time setup. Meter costs are not "
"hardware timings. All parent/pair costs must be "
"charged in a comparative RSI experiment.",
"results": records,
}
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--out", default="results/pair_counterexample.json")
args = parser.parse_args()
result = verify()
out = Path(args.out)
out.parent.mkdir(parents=True, exist_ok=True)
out.write_text(json.dumps(result, indent=2) + "\n", encoding="utf-8")
print(json.dumps({"output": str(out), "pair_witness_verified": True,
"higher_homotopy_basis_checks":
result["higher_homotopy_basis_checks"],
"success_probabilities":
[r["success_probability_exact"]
for r in result["results"]]}, indent=2))