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Download tests/test_readme_table.py from b4ph/clap-retrieval-benchmark: direct link, hf CLI and curl.
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2.35 kB
| """Checks the v1 README results table against the computed analysis JSON. | |
| The v1 README table is an artifact people may still quote, so it must be generated from | |
| the analysis output rather than retyped: | |
| python tests/test_readme_table.py | |
| Parses only the Results section (between `## Results` and `### Paired`), matches | |
| each row by model and dataset, and requires every metric value to appear at three | |
| decimals. Also fails if a computed cell has no README row. | |
| """ | |
| from __future__ import annotations | |
| import json | |
| import re | |
| import sys | |
| from pathlib import Path | |
| ROOT = Path(__file__).resolve().parents[1] | |
| ANN = ROOT / "analysis_canon.json" | |
| README = ROOT / "README-v1.md" # v1 tables moved here when the card took README.md | |
| METRICS = ["t2a_r1", "t2a_r5", "t2a_r10", "t2a_mrr", | |
| "a2t_r1", "a2t_r5", "a2t_r10", "a2t_map"] | |
| def results_section(text: str) -> str: | |
| start = text.index("## Results") | |
| end = text.index("### Paired") | |
| return text[start:end] | |
| def main() -> int: | |
| if not ANN.exists(): | |
| print(f"missing {ANN.name}; run `python analysis.py sweep_canon` first") | |
| return 1 | |
| cells = json.loads(ANN.read_text(encoding="utf-8"))["cells"] | |
| section = results_section(README.read_text(encoding="utf-8")) | |
| rows = [ln for ln in section.splitlines() if ln.startswith("| laion/")] | |
| fails = [] | |
| for c in cells: | |
| # the README writes "AudioCaps"; the JSON writes "audiocaps" | |
| match = [r for r in rows | |
| if c["model"] in r | |
| and f"| {c['dataset'].lower()} |" in r.lower()] | |
| if not match: | |
| fails.append(f"no README row for {c['model']} {c['dataset']}") | |
| print(f"FAIL missing row: {c['model']} / {c['dataset']}") | |
| continue | |
| row = match[0] | |
| missing = [m for m in METRICS | |
| if f"{c['metrics'][m]['value']:.3f}" not in row] | |
| print(f"{'PASS' if not missing else 'FAIL'} {c['model']} / {c['dataset']}" | |
| f"{'' if not missing else ' missing ' + ', '.join(missing)}") | |
| if missing: | |
| fails.append(f"{c['model']} {c['dataset']}: {missing}") | |
| print("\n" + ("README-v1 table matches analysis_canon.json" | |
| if not fails else f"FAILURES: {fails}")) | |
| return 0 if not fails else 1 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |