Download scripts/finalize_evidence.py from LianeMarilin/ECG-EdgeBench: direct link, hf CLI and curl.
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https://huggingface.co/datasets/LianeMarilin/ECG-EdgeBench/resolve/main/scripts/finalize_evidence.py
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hf download hf://datasets/LianeMarilin/ECG-EdgeBench/scripts/finalize_evidence.py
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curl -L -o finalize_evidence.py https://huggingface.co/datasets/LianeMarilin/ECG-EdgeBench/resolve/main/scripts/finalize_evidence.py
2.25 kB
| #!/usr/bin/env python3 | |
| from __future__ import annotations | |
| import argparse | |
| import json | |
| from pathlib import Path | |
| import shutil | |
| ROOT = Path(__file__).resolve().parents[1] | |
| START = ">>>>> Start Structured Result" | |
| END = ">>>>> End Structured Result" | |
| def main() -> int: | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--run-dir", type=Path, required=True) | |
| args = parser.parse_args() | |
| data = args.run_dir / "data" if (args.run_dir / "data").is_dir() else args.run_dir | |
| provenance = json.loads((data / "provenance.json").read_text(encoding="utf-8")) | |
| raw = (args.run_dir / "baseline-output.txt").read_text(encoding="utf-8") | |
| baseline = json.loads(raw.split(START, 1)[1].split(END, 1)[0].strip()) | |
| evidence = ROOT / "provenance" | |
| evidence.mkdir(parents=True, exist_ok=True) | |
| shutil.copyfile(data / "provenance.json", evidence / "data_build_provenance.json") | |
| report = { | |
| "status": "PASS" if baseline.get("valid") and baseline.get("pass_rate") == 1.0 else "FAIL", | |
| "experiment": "starter baseline trained on all DS1 beats and evaluated once on hidden DS2 labels", | |
| "environment": { | |
| "numpy": "1.26.4", | |
| "scipy": "1.12.0", | |
| "scikit_learn": "1.4.2", | |
| "pandas": "2.2.3", | |
| "wfdb": "4.1.2" | |
| }, | |
| "data": { | |
| "train_beats": provenance["splits"]["train"]["beats"], | |
| "test_beats": provenance["splits"]["test"]["beats"], | |
| "train_class_counts": provenance["splits"]["train"]["class_counts"], | |
| "test_class_counts": provenance["splits"]["test"]["class_counts"], | |
| "source_files": len(provenance["files"]), | |
| "array_sha256": { | |
| **provenance["splits"]["train"]["array_sha256"], | |
| **provenance["splits"]["test"]["array_sha256"] | |
| } | |
| }, | |
| "result": baseline, | |
| "qualification_boundary": "One real baseline run proves executability and score headroom, not 12-hour frontier-agent difficulty or official EdgeBench acceptance." | |
| } | |
| (ROOT / "baseline_report.json").write_text(json.dumps(report, indent=2, sort_keys=True) + "\n", encoding="utf-8") | |
| return 0 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |