Research source · python
verify_selection_spectrum.py
site/public/research-artifacts/causal-selection-spectrum/verify_selection_spectrum.py
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#!/usr/bin/env python3
"""Bounded audit for FPRD-T169's nested selector-family identities."""
from __future__ import annotations
import itertools
import json
from pathlib import Path
MAX_HORIZON = 3
SELECTORS = (0, 1) # one-state selectors on a unary observed alphabet
FAMILIES = {
1: ((0,), (1,)),
2: ((0,), (1,), (0, 1)),
}
def offsets():
"""Bit offsets for all tagged unary words through MAX_HORIZON."""
result = {}
cursor = 0
for length in range(MAX_HORIZON + 1):
for tags in itertools.product((0, 1), repeat=length):
result[(length, tags)] = cursor
cursor += 1
return result, cursor
OFFSETS, TAGGED_WORDS = offsets()
def accepts(mask, length, tags):
return bool(mask & (1 << OFFSETS[(length, tags)]))
def projected_accepts(mask, length):
return any(
accepts(mask, length, tags)
for tags in itertools.product((0, 1), repeat=length)
)
def family_covers_through(mask, family, horizon):
for length in range(horizon + 1):
selected = any(accepts(mask, length, (tag,) * length) for tag in family)
if selected != projected_accepts(mask, length):
return False
return True
def candidate_sets(mask, budget):
return tuple(
frozenset(
family
for family in FAMILIES[budget]
if family_covers_through(mask, family, horizon)
)
for horizon in range(MAX_HORIZON + 1)
)
def audit():
relation_count = 1 << TAGGED_WORDS
nested_checks = 0
intersection_checks = 0
upward_checks = 0
finite_escape_checks = 0
strict_escape_examples = 0
for mask in range(relation_count):
by_budget = {budget: candidate_sets(mask, budget) for budget in FAMILIES}
for budget, horizons in by_budget.items():
for left, right in zip(horizons, horizons[1:]):
assert right <= left
nested_checks += 1
assert set.intersection(*(set(item) for item in horizons)) == set(
horizons[-1]
)
intersection_checks += 1
if not horizons[-1]:
first_failure = next(i for i, item in enumerate(horizons) if not item)
assert all(not item for item in horizons[first_failure:])
finite_escape_checks += 1
if first_failure > 0:
strict_escape_examples += 1
for horizon in range(MAX_HORIZON + 1):
feasible_one = bool(by_budget[1][horizon])
feasible_two = bool(by_budget[2][horizon])
assert not feasible_one or feasible_two
upward_checks += 1
return {
"relations": relation_count,
"tagged_words": TAGGED_WORDS,
"nested_candidate_set_checks": nested_checks,
"finite_intersection_checks": intersection_checks,
"resource_upward_checks": upward_checks,
"finite_escape_checks": finite_escape_checks,
"strict_positive_escape_examples": strict_escape_examples,
}
def labeled_mealy_count(states, input_letters, output_choices):
return (states * output_choices) ** (states * input_letters)
def main():
counts = audit()
assert labeled_mealy_count(1, 1, 2) == 2
assert labeled_mealy_count(2, 1, 2) == 16
assert labeled_mealy_count(2, 2, 2) == 256
output = {
"status": "pass",
"scope": (
"finite truncated audit of nested selector-family sets, resource "
"upward closure, and finite escape"
),
"model": {
"observed_alphabet": "unary",
"hidden_tags": 2,
"selector_states": 1,
"max_horizon": MAX_HORIZON,
"selector_budgets": [1, 2],
},
**counts,
"labeled_mealy_counts": {
"unary_input_one_state": 2,
"unary_input_two_states": 16,
"binary_input_two_states": 256,
},
"theorem_identity": "Sel(A,pi) = intersection_n Sel_n(A,pi)",
"does_not_verify": [
"the infinite compactness theorem beyond the finite model",
"computability or a closed-form bound for the escape modulus",
"FPRD-T91's visible-lift construction",
"the persistent-stack compiler",
"Kim-Park Theorem 4.19 or its Lean artifact",
],
}
Path(__file__).with_name("checker-output.json").write_text(
json.dumps(output, indent=2) + "\n", encoding="utf-8"
)
print(json.dumps(output, indent=2))
if __name__ == "__main__":
main()