mirror of
https://github.com/wiltodelta/remove-ai-watermarks.git
synced 2026-10-14 13:30:55 +02:00
50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
from __future__ import annotations
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import importlib.util
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from pathlib import Path
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from typing import Any
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import pytest
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SCRIPT = Path(__file__).resolve().parents[1] / "scripts" / "analyze_engine_selection_study.py"
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SPEC = importlib.util.spec_from_file_location("analyze_engine_selection_study", SCRIPT)
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assert SPEC is not None
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assert SPEC.loader is not None
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MODULE = importlib.util.module_from_spec(SPEC)
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SPEC.loader.exec_module(MODULE)
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def _row(*, ssim: float, lpips: float) -> dict[str, Any]:
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common = {
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"psnr_db": 30.0,
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"mae": 2.0,
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"edge_f1": 0.8,
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"laplacian_ratio": 0.9,
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}
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return {
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"pair_id": "00",
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"provider": "openai",
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"content_stratum": "test",
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"fidelity": {**common, "ssim": ssim, "lpips_512": lpips},
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}
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def test_exact_sign_test_two_sided() -> None:
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assert MODULE._sign_test_two_sided(19, 0) == pytest.approx(2 / 2**19)
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assert MODULE._sign_test_two_sided(12, 7) == pytest.approx(0.359283447265625)
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assert MODULE._sign_test_two_sided(0, 0) == 1.0
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def test_analysis_respects_each_metrics_preferred_direction() -> None:
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report = {
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"qwen-zimage": {"rows": [_row(ssim=0.8, lpips=0.1)]},
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"chroma-zimage": {"rows": [_row(ssim=0.9, lpips=0.2)]},
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}
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metrics = MODULE.analyze(report)["providers"]["openai"]["metrics"]
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assert metrics["ssim"]["chroma_wins"] == 1
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assert metrics["ssim"]["qwen_wins"] == 0
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assert metrics["lpips_512"]["chroma_wins"] == 0
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assert metrics["lpips_512"]["qwen_wins"] == 1
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