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90884df | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 | """CPU-only adversarial contract for the Phase 3 objective-only evaluator.
Expected public API (specified before implementation)::
from music3lab import eval as phase3
authority = phase3.prepare_corpus(sources=[Path(...), ...],
output_root=Path(...), ffmpeg_path="ffmpeg", required_frames=44_032,
guard_seconds=5)
result = phase3.evaluate_objective_only(authority=authority,
candidate_root=Path(...), protected_baseline=...,
optional_evaluators=("clap", "ast", "whisper"))
phase3.verify_evaluation_bundle(Path(...), authority=authority)
``prepare_corpus`` retains source and ffmpeg by descriptor; normalizes through
ffmpeg; makes SHA-named 0444 copies; uses raw hashes for a 1/3/4 source-level
split; creates one content-blind, SHA-derived 44,032-frame crop with 5s guards;
and seals heldout sources from tuning. ``evaluate_objective_only`` only accepts
deterministic numerical scores, returns unavailable optional evaluators as
``MISSING``, and never turns a missing render into zero/pass. Both APIs reject
rehashed manifest/path/mode/link/crop/aggregate/candidate/publication attacks.
Promotion is Pareto + hard floors + protected regression + bootstrap CI, never
a learned or subjective scalar. These CPU-only synthetic WAVs test integrity,
not listening preference.
"""
from __future__ import annotations
import hashlib
import json
import os
from pathlib import Path
import stat
import wave
import numpy as np
import pytest
from music3lab import eval as phase3
RATE, FRAMES = 44_100, 44_032
def _sha(path: Path) -> str:
return hashlib.sha256(path.read_bytes()).hexdigest()
def _wav(path: Path, *, frames: int, kind: str, seed: int) -> Path:
"""Deterministic non-musical stereo WAV with distinct source bytes."""
index = np.arange(frames, dtype=np.float64)
if kind == "tone":
left = np.sin(2 * np.pi * (193 + seed) * index / RATE)
right = np.cos(2 * np.pi * (313 + seed) * index / RATE)
elif kind == "noise":
rng = np.random.default_rng(seed)
left, right = rng.normal(0, 0.08, frames), rng.normal(0, 0.08, frames)
elif kind == "silence":
left = right = np.zeros(frames)
else:
raise ValueError(kind)
pcm = np.column_stack((left, right)).clip(-1, 1)
with wave.open(str(path), "wb") as handle:
handle.setnchannels(2); handle.setsampwidth(2); handle.setframerate(RATE)
handle.writeframes((pcm * 32767).astype("<i2").tobytes())
return path
@pytest.fixture
def sources(tmp_path: Path) -> list[Path]:
return [_wav(tmp_path / f"source-{n}.wav", frames=12 * RATE + n,
kind="tone" if n % 2 else "noise", seed=n) for n in range(8)]
@pytest.fixture
def authority(tmp_path: Path, sources: list[Path]):
return phase3.prepare_corpus(sources=sources, output_root=tmp_path / "corpus",
ffmpeg_path="ffmpeg", required_frames=FRAMES, guard_seconds=5)
def _manifest(authority) -> dict:
return json.loads((Path(authority.root) / "manifest.json").read_text())
def _resign(path: Path) -> None:
"""Attacker recomputes ordinary self-described hash after a mutation."""
value = json.loads(path.read_text())
value["semantic_digest"] = phase3.semantic_digest({k: v for k, v in value.items() if k != "semantic_digest"})
path.write_text(json.dumps(value, sort_keys=True, separators=(",", ":")))
def test_corpus_is_immutable_hash_named_and_split_by_raw_source(authority, sources: list[Path]) -> None:
manifest = _manifest(authority)
assert {name: len(manifest["splits"][name]) for name in ("calibration", "validation", "heldout")} == {"calibration": 1, "validation": 3, "heldout": 4}
assert set().union(*map(set, manifest["splits"].values())) == {_sha(path) for path in sources}
assert sum(map(len, manifest["splits"].values())) == 8
for record in manifest["sources"].values():
copy_path = Path(authority.root) / record["corpus_path"]
assert copy_path.name == record["raw_sha256"] + ".wav"
assert _sha(copy_path) == record["normalized_sha256"]
assert stat.S_IMODE(copy_path.stat().st_mode) == 0o444
def test_split_has_no_raw_pcm_or_crop_leakage(authority) -> None:
manifest, seen_raw, seen_pcm, seen_crop = _manifest(authority), set(), set(), set()
for raw_hashes in manifest["splits"].values():
for raw_hash in raw_hashes:
record = manifest["sources"][raw_hash]
assert raw_hash not in seen_raw
assert record["normalized_sha256"] not in seen_pcm
assert record["crop"]["sha256"] not in seen_crop
seen_raw.add(raw_hash); seen_pcm.add(record["normalized_sha256"]); seen_crop.add(record["crop"]["sha256"])
def test_crop_is_content_blind_sha_derived_exact_length_and_guarded(authority) -> None:
manifest = _manifest(authority)
for raw_hash, record in manifest["sources"].items():
crop = record["crop"]
assert crop["frames"] == FRAMES
assert crop["start_frame"] == phase3.content_blind_crop_start(raw_sha256=raw_hash, total_frames=record["normalized_frames"], required_frames=FRAMES, guard_frames=5 * RATE)
assert 5 * RATE <= crop["start_frame"]
assert crop["start_frame"] + FRAMES <= record["normalized_frames"] - 5 * RATE
assert _sha(Path(authority.root) / crop["path"]) == crop["sha256"]
@pytest.mark.parametrize("mutator", [
lambda value: value["sources"][next(iter(value["sources"]))]["crop"].__setitem__("start_frame", 0),
lambda value: value["splits"].__setitem__("heldout", value["splits"]["validation"]),
lambda value: value.__setitem__("aggregate_sha256", "0" * 64),
])
def test_rehashed_manifest_crop_split_and_aggregate_attacks_reject(authority, mutator) -> None:
root = Path(authority.root); path = root / "manifest.json"; value = _manifest(authority)
mutator(value); path.write_text(json.dumps(value)); _resign(path)
with pytest.raises((ValueError, RuntimeError), match="crop|split|aggregate|authority|digest"):
phase3.verify_corpus(authority)
def test_source_and_ffmpeg_authority_are_retained_and_checked(authority) -> None:
manifest = _manifest(authority)
assert manifest["source_authority"]["retained"] is True
assert manifest["ffmpeg_authority"]["retained"] is True
assert len(manifest["ffmpeg_authority"]["sha256"]) == 64
assert Path(manifest["source_authority"]["descriptor_path"]).exists()
with pytest.raises((ValueError, RuntimeError), match="ffmpeg|source|authority"):
phase3.verify_corpus(authority, ffmpeg_path="/bin/false")
@pytest.mark.parametrize("attack", ("symlink", "hardlink", "writable-mode", "swapped-path"))
def test_corpus_path_mode_and_link_attacks_reject(authority, tmp_path: Path, attack: str) -> None:
manifest = _manifest(authority); root = Path(authority.root)
record = next(iter(manifest["sources"].values())); target = root / record["corpus_path"]
if attack == "symlink":
victim = tmp_path / "victim.wav"; victim.write_bytes(target.read_bytes()); target.unlink(); target.symlink_to(victim)
elif attack == "hardlink":
alias = root / "alias.wav"; os.link(target, alias); record["corpus_path"] = alias.name
(root / "manifest.json").write_text(json.dumps(manifest)); _resign(root / "manifest.json")
elif attack == "writable-mode":
target.chmod(0o644)
else:
record["corpus_path"] = "../outside.wav"; (root / "manifest.json").write_text(json.dumps(manifest)); _resign(root / "manifest.json")
with pytest.raises((ValueError, RuntimeError), match="path|link|mode|authority|immutable"):
phase3.verify_corpus(authority)
@pytest.mark.parametrize("corruption, expected", [
("identity", "unchanged"), ("clipping", "worse"), ("noise", "worse"),
("silence", "worse"), ("phase_inversion", "worse"), ("lowpass", "worse"),
("duplicate", "reject"), ("shuffle", "reject"),
])
def test_objective_canaries_have_fixed_non_subjective_directions(authority, tmp_path: Path, corruption: str, expected: str) -> None:
candidate = phase3.make_synthetic_candidate(authority, output_root=tmp_path / corruption, corruption=corruption)
result = phase3.evaluate_objective_only(authority=authority, candidate_root=candidate, protected_baseline=None)
if expected == "reject":
assert result.status == "REJECTED"
elif expected == "unchanged":
assert result.objective["waveform_nmse"] == pytest.approx(0.0)
else:
assert result.status == "EVALUATED" and result.objective["waveform_nmse"] > 0
def test_rejects_nan_short_audio_and_missing_edit_is_not_executed(authority, tmp_path: Path) -> None:
for corruption in ("nan", "short"):
candidate = phase3.make_synthetic_candidate(authority, output_root=tmp_path / corruption, corruption=corruption)
assert phase3.evaluate_objective_only(authority=authority, candidate_root=candidate, protected_baseline=None).status == "REJECTED"
missing = phase3.make_synthetic_candidate(authority, output_root=tmp_path / "missing", corruption="missing")
result = phase3.evaluate_objective_only(authority=authority, candidate_root=missing, protected_baseline=None)
assert result.status == result.promotion == "NOT_EXECUTED" and not result.passed
def test_objective_only_rejects_learned_or_subjective_scores(authority, tmp_path: Path) -> None:
candidate = phase3.make_synthetic_candidate(authority, output_root=tmp_path / "identity", corruption="identity")
for score in ("clap", "mos", "human_preference", "learned_quality", "llm_judge"):
with pytest.raises((ValueError, RuntimeError), match="objective|learned|subjective|forbidden"):
phase3.evaluate_objective_only(authority=authority, candidate_root=candidate, protected_baseline=None, requested_scores=(score,))
def test_missing_optional_evaluators_are_explicit_not_zero_or_pass(authority, tmp_path: Path) -> None:
candidate = phase3.make_synthetic_candidate(authority, output_root=tmp_path / "identity", corruption="identity")
result = phase3.evaluate_objective_only(authority=authority, candidate_root=candidate, protected_baseline=None, optional_evaluators=("clap", "ast", "whisper"))
assert all(result.optional[name]["status"] == "MISSING" and result.optional[name]["value"] is None for name in ("clap", "ast", "whisper"))
def test_board_enforces_hard_floors_protected_regressions_pareto_and_bootstrap_ci() -> None:
board = phase3.PromotionBoard(hard_floors={"validation.waveform_nmse": 0.02}, protected_regressions={"heldout.waveform_nmse": 0.0}, bootstrap_samples=200, seed=41)
baseline = {"validation.waveform_nmse": 0.04, "heldout.waveform_nmse": 0.04}
strata = {"validation": [0.04, 0.02, 0.01], "heldout": [0.04, 0.03, 0.02, 0.03]}
accepted = board.decide(baseline=baseline, candidate={"validation.waveform_nmse": 0.01, "heldout.waveform_nmse": 0.03}, strata=strata)
assert accepted.status == "PROMOTE" and accepted.bootstrap_ci["validation.waveform_nmse"][1] < 0
for candidate in ({"validation.waveform_nmse": 0.03, "heldout.waveform_nmse": 0.01}, {"validation.waveform_nmse": 0.01, "heldout.waveform_nmse": 0.05}, {"validation.waveform_nmse": 0.01, "heldout.waveform_nmse": 0.04}):
assert board.decide(baseline=baseline, candidate=candidate, strata=strata).status == "REJECT"
def test_sealed_heldout_cannot_be_opened_during_candidate_tuning(authority, tmp_path: Path) -> None:
with pytest.raises((PermissionError, ValueError, RuntimeError), match="heldout|sealed|tuning|access"):
phase3.open_tuning_view(authority=authority, candidate_root=tmp_path / "candidate", requested_split="heldout")
assert phase3.open_tuning_view(authority=authority, candidate_root=tmp_path / "candidate", requested_split="validation").split == "validation"
def test_candidate_digest_and_manifest_last_publication_detect_rehashed_attacks(authority, tmp_path: Path) -> None:
candidate = phase3.make_synthetic_candidate(authority, output_root=tmp_path / "candidate", corruption="identity")
result = phase3.evaluate_objective_only(authority=authority, candidate_root=candidate, protected_baseline=None)
output, staged = tmp_path / "published", tmp_path / "staged"
phase3.publish_evaluation(result=result, output_root=output, staging_root=staged)
assert (output / "manifest.json").exists() and phase3.publication_order(output)[-1] == "manifest.json"
for relative in ("candidate.json", "aggregate.json"):
path = output / relative; value = json.loads(path.read_text()); value["forged"] = True; path.write_text(json.dumps(value)); _resign(path)
with pytest.raises((ValueError, RuntimeError), match="candidate|aggregate|manifest|digest|authority"):
phase3.verify_evaluation_bundle(output, authority=authority)
path.unlink(); phase3.publish_evaluation(result=result, output_root=output, staging_root=staged)
def test_manifest_last_failure_rolls_back_without_partial_publication(authority, tmp_path: Path) -> None:
candidate = phase3.make_synthetic_candidate(authority, output_root=tmp_path / "candidate", corruption="identity")
result = phase3.evaluate_objective_only(authority=authority, candidate_root=candidate, protected_baseline=None)
published, staged = tmp_path / "published", tmp_path / "staged"
with pytest.raises(OSError):
phase3.publish_evaluation(result=result, output_root=published, staging_root=staged, inject_failure_before_manifest=True)
assert not published.exists() or not (published / "manifest.json").exists() |