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177308a | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 | #!/usr/bin/env python3
"""Fail-closed validation of claims, science, controls, replay, and package."""
from __future__ import annotations
import hashlib
import json
from pathlib import Path
ROOT = Path(__file__).resolve().parent
GENERATED = [
"exact_graph_audit.json",
"oracle_gates.json",
"finite_native_algorithms.json",
"synthetic_native_pipeline.json",
"realdata_native_and_source_audit.json",
"destructive_controls.json",
"results.json",
]
EXPECTED_ASSESSMENTS = ["verified"] * 5 + ["falsified_as_literally_registered"]
def load(relative: str):
path = ROOT / relative
assert path.is_file() and path.stat().st_size > 0, f"missing {relative}"
return json.loads(path.read_text(encoding="utf-8"))
def digest(path: Path) -> str:
return hashlib.sha256(path.read_bytes()).hexdigest()
official = load("official_claims.json")
assert official == load("CLAIMS.json")
matrix = load("EVIDENCE_MATRIX.json")
assert matrix["paper_id"] == "mOcTXKawFY"
assert [x["literal_claim"] for x in matrix["claims"]] == official
assert [x["assessment"] for x in matrix["claims"]] == EXPECTED_ASSESSMENTS
results = load("outputs/results.json")
assert [x["literal_claim"] for x in results["claims"]] == official
assert [x["assessment"] for x in results["claims"]] == EXPECTED_ASSESSMENTS
# Paired deterministic replay is byte-level, not approximate JSON equality.
pair_hashes = {}
for name in GENERATED:
left = ROOT / "outputs" / name
right = ROOT / "packaged_replay" / name
assert left.is_file() and right.is_file(), f"missing replay pair {name}"
lh, rh = digest(left), digest(right)
assert lh == rh, f"paired replay mismatch: {name}"
pair_hashes[name] = lh
recorded_pairs = load("PAIRED_REPLAY_SHA256.json")
assert recorded_pairs["status"] == "byte_identical"
assert recorded_pairs["files"] == pair_hashes
exact = load("outputs/exact_graph_audit.json")
definition = exact["definition1"]
assert definition["exhaustive_d4"] == {
"acyclic": 26064,
"constructions": 26064,
"edge_count_formula_matches": 26064,
"edge_families_exactly_as_defined": 26064,
"node_count_formula_matches": 26064,
}
assert all(definition["random_large"][key] == 60 for key in (
"constructions", "acyclic", "node_count_matches", "edge_count_matches"
))
dsep = exact["dsep_claims"]
assert dsep["lemma1"] == {
"converse_failure_witnesses": 17712,
"tested": 1433520,
"violations": 0,
}
assert dsep["theorem1"]["tested"] == 1433520
assert dsep["theorem1"]["violations"] == 0
assert dsep["control_naive"]["mismatches"] == 98787
assert dsep["control_no_inheritance"]["lemma1_converse_failures_without_inheritance"] == 0
theorem2 = exact["theorem2"]
assert theorem2["n_models"] == 8688
assert theorem2["adjacency_pairs_tested"] == 52128
assert theorem2["adjacency_violations"] == 0
assert theorem2["oriented_edges_tested"] == 2640
assert theorem2["orientation_soundness_violations"] == 0
assert theorem2["unoriented_edges_tested"] == 39030
assert theorem2["orientation_completeness_failures"] == 0
theorem4 = exact["theorem4"]
assert theorem4["model_x_Iset_configurations"] == 269328
assert theorem4["monotonicity_violations"] == 0
assert theorem4["orientation_soundness_violations"] == 0
assert theorem4["adjacency_violations"] == 0
assert theorem4["configurations_with_strictly_more_orientations"] == 88176
assert theorem4["additional_oriented_edges_vs_single_domain"] == 172512
oracles = load("outputs/oracle_gates.json")
assert oracles["dseparation_vs_networkx"] == {"disagreements": 0, "queries": 11984}
assert oracles["cpdag_vs_causallearn"] == {"disagreements": 0, "models": 600}
assert oracles["verma_pearl_invariance"]["compelled_edge_violations"] == 0
assert oracles["verma_pearl_invariance"]["reversibility_violations"] == 0
finite = load("outputs/finite_native_algorithms.json")
assert finite["lemma1"]["spurious_with_evolution"] == 46
assert finite["lemma1"]["spurious_without_selection"] == 8
assert finite["theorem4_cdnod"]["mean_correct_oriented_multi"] == 4.65
assert finite["theorem4_cdnod"]["mean_correct_oriented_single"] == 3.55
synthetic = load("outputs/synthetic_native_pipeline.json")
assert synthetic["config"]["executed_runs"] == 750
assert synthetic["headline"] == {
"GES_cells_oriented_beats_standard": 14,
"PC_cells_oriented_beats_standard": 3,
"d20_GES_cells_oriented_beats_standard": 4,
"d20_PC_cells_oriented_beats_standard": 0,
"grid_cells": 15,
}
real = load("outputs/realdata_native_and_source_audit.json")
audit = real["source_reported_seven_dataset_audit"]
assert len(audit["per_dataset"]) == 7
assert audit["arithmetic_mismatches_vs_printed_percentages"] == 0
assert audit["claim_i_datasets_with_oriented_gt_unoriented"] == "5 of 6"
assert audit["pooled_direction_agrees_with_claim"] is False
pan = real["pantheria_native_rerun"]
assert (pan["n_samples"], pan["n_variables"]) == (626, 8)
assert pan["log_alpha0.05"]["oriented_precision"] == 0.4
assert pan["log_alpha0.05"]["unoriented_precision"] == 1.0
controls = load("outputs/destructive_controls.json")
assert controls["claim1_remove_inheritance_edge"]["checker_rejected_mutant"] is True
assert controls["claim2_remove_all_inheritance"]["lemma1_converse_failures_without_inheritance"] == 0
assert controls["claim3_delete_selection_clique"]["mismatches"] == 98787
assert controls["claim4_reverse_compelled_orientation"] == {
"checker_fired": 328,
"corrupted_models_tested": 328,
}
assert controls["claim5_omit_changed_selection_ancestor_expansion"]["orientation_soundness_violations"] == 583356
assert controls["claim6_mutate_source_and_data"]["source_arithmetic_mutation_detected"] is True
assert controls["claim6_mutate_source_and_data"]["data_byte_mutation_detected_by_sha256"] is True
source = load("SOURCE_FETCH.json")
data_path = ROOT / source["pantheria"]["packaged_data_path"]
assert digest(data_path) == source["pantheria"]["packaged_data_sha256"]
assert digest(data_path) == "36e64314cae0394a966a63b949504d1975ac5c5629e05e36c1b139b3348f044a"
routes = load("LOCAL_ROUTE_AUDIT.json")
assert routes["status"] == "pass" and routes["routes_checked"] == 9
assert all(row["exists"] and row["bytes"] > 0 for row in routes["routes"])
# Recursive manifest: exact path set and SHA-256 for every included file.
manifest = ROOT / "BUNDLE_SHA256SUMS.txt"
assert manifest.is_file()
recorded = {}
for line in manifest.read_text(encoding="utf-8").splitlines():
value, relative = line.split(" ", 1)
recorded[relative] = value
excluded_dirs = {"__pycache__", "replay_a", "replay_b", "fresh_replay"}
actual = {}
for path in ROOT.rglob("*"):
relative = path.relative_to(ROOT)
if (
path.is_file()
and not path.is_symlink()
and path != manifest
and not any(part in excluded_dirs for part in relative.parts)
and path.suffix not in {".log", ".pyc"}
and path.name != ".DS_Store"
):
actual[relative.as_posix()] = digest(path)
assert actual == recorded, "recursive manifest mismatch"
print(json.dumps({
"status": "pass",
"paper_id": "mOcTXKawFY",
"claims": 6,
"assessments": EXPECTED_ASSESSMENTS,
"paired_replay_files": len(pair_hashes),
"manifest_files": len(recorded),
}, indent=2))
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