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Download scripts/package_acquisition_archive.py from SeanWan05/MolAS-Active-Learning: direct link, hf CLI and curl.
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5.31 kB
| #!/usr/bin/env python3 | |
| """Copy readable historical acquisition artifacts without running experiments. | |
| Cloud placeholders are inventoried, never mistaken for readable files. Original | |
| CSVs remain byte-for-byte unchanged inside deterministic per-run ZIP archives. | |
| This utility is for assembling the release from the authors' historical workspace; | |
| it is not required to inspect archives already shipped in the repository. | |
| """ | |
| from __future__ import annotations | |
| import argparse | |
| import collections | |
| import gzip | |
| import hashlib | |
| import json | |
| from pathlib import Path | |
| import zipfile | |
| METHODS = ("plain_mean_ucb", "direct_cost_uc", "relaxed_cost_power_05", | |
| "log_cost", "runtime_uncertainty", "cost_tiers_5") | |
| DATALESS = 0x40000000 | |
| def cloud_placeholder(path: Path) -> bool: | |
| return bool(getattr(path.stat(), "st_flags", 0) & DATALESS) | |
| def main() -> None: | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument("--source-root", type=Path, required=True) | |
| parser.add_argument("--destination", type=Path, | |
| default=Path(__file__).resolve().parents[1]) | |
| args = parser.parse_args() | |
| base = args.source_root / "MolAS_AL_restart/AL_MolAS/mean_ucb_cost_5fold_paper" | |
| dest = args.destination.resolve() | |
| out = dest / "results/acquisition" | |
| out.mkdir(parents=True, exist_ok=True) | |
| (dest / "provenance").mkdir(parents=True, exist_ok=True) | |
| records = [] | |
| totals = collections.Counter() | |
| def archive(paths, target, prefix): | |
| target.parent.mkdir(parents=True, exist_ok=True) | |
| count = 0 | |
| with zipfile.ZipFile(target, "w", compression=zipfile.ZIP_DEFLATED, | |
| compresslevel=6) as z: | |
| for p in sorted(paths): | |
| if not p.is_file() or p.name == ".DS_Store": | |
| continue | |
| rel = p.relative_to(base).as_posix() | |
| rec = {"source": str(p.relative_to(args.source_root)), | |
| "archive": str(target.relative_to(dest)), | |
| "member": p.relative_to(prefix).as_posix(), | |
| "bytes": p.stat().st_size} | |
| if p.is_symlink(): | |
| rec["status"] = "excluded_symlink" | |
| elif cloud_placeholder(p): | |
| rec["status"] = "missing_cloud_contents" | |
| else: | |
| try: | |
| raw = p.read_bytes() | |
| rec["sha256"] = hashlib.sha256(raw).hexdigest() | |
| zi = zipfile.ZipInfo(rec["member"], (2026, 10, 31, 0, 0, 0)) | |
| zi.compress_type = zipfile.ZIP_DEFLATED | |
| zi.external_attr = 0o644 << 16 | |
| z.writestr(zi, raw, compresslevel=6) | |
| rec["status"] = "included_unchanged" | |
| count += 1 | |
| totals["included_uncompressed_bytes"] += len(raw) | |
| except OSError as exc: | |
| rec["status"] = "unreadable" | |
| rec["error"] = type(exc).__name__ | |
| totals[rec["status"]] += 1 | |
| records.append(rec) | |
| if count == 0: | |
| target.unlink() | |
| else: | |
| totals["archive_bytes"] += target.stat().st_size | |
| totals["archives"] += 1 | |
| for method in METHODS: | |
| for fold in range(5): | |
| for seed in range(3): | |
| run = base / "outputs/runs" / method / f"fold{fold}" / f"seed{seed}" | |
| # State binaries are not needed to inspect published observations | |
| # or exported matrices. Keep small JSON metadata and event logs. | |
| paths = [p for p in run.rglob("*") if p.is_file() | |
| and p.suffix in (".csv", ".json", ".jsonl", ".txt")] | |
| archive(paths, out / method / f"fold{fold}_seed{seed}.zip", run) | |
| print(f"Packaged available artifacts: {method}", flush=True) | |
| auxiliary = [] | |
| for name in ("audits", "summary", "runtime_feature_ablation"): | |
| auxiliary.extend((base / "outputs" / name).rglob("*")) | |
| auxiliary.extend(p for p in (base / "outputs").iterdir() if p.is_file()) | |
| archive(auxiliary, out / "historical_summaries.zip", base / "outputs") | |
| manifest = dest / "provenance/acquisition_artifact_inventory.jsonl.gz" | |
| with manifest.open("wb") as raw: | |
| with gzip.GzipFile(filename="", fileobj=raw, mode="wb", mtime=0) as f: | |
| for rec in records: | |
| f.write((json.dumps(rec, sort_keys=True) + "\n").encode()) | |
| summary = dict(totals) | |
| summary.update({"methods": list(METHODS), "folds": list(range(5)), | |
| "acquisition_seeds": [0, 1, 2], | |
| "complete": not any(totals[k] for k in | |
| ("missing_cloud_contents", "unreadable", "excluded_symlink")), | |
| "note": "Historical files only; no experiments or results regenerated. " | |
| "Downstream paper analyses use acquisition seed 0. " | |
| "Resume-state binaries and smoke/pilot runs are excluded."}) | |
| (dest / "provenance/acquisition_archive_summary.json").write_text( | |
| json.dumps(summary, indent=2) + "\n") | |
| print(json.dumps(summary, indent=2)) | |
| if __name__ == "__main__": | |
| main() | |