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Download scripts/read_acquisition_artifact.py from SeanWan05/MolAS-Active-Learning: direct link, hf CLI and curl.
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https://huggingface.co/datasets/SeanWan05/MolAS-Active-Learning/resolve/main/scripts/read_acquisition_artifact.py
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hf download hf://datasets/SeanWan05/MolAS-Active-Learning/scripts/read_acquisition_artifact.py
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curl -L -o read_acquisition_artifact.py https://huggingface.co/datasets/SeanWan05/MolAS-Active-Learning/resolve/main/scripts/read_acquisition_artifact.py
3.02 kB
| #!/usr/bin/env python3 | |
| """Extract an original acquisition CSV, checking its pinned Git content identity. | |
| Checkpoint cumulative logs are losslessly represented by prefixes of the final | |
| ledger. Every supported prefix has been checked against its original Git blob; | |
| this is storage deduplication, not a repaired or regenerated experiment. | |
| """ | |
| from __future__ import annotations | |
| import argparse | |
| import gzip | |
| import hashlib | |
| import json | |
| from pathlib import Path | |
| import sys | |
| import tarfile | |
| METHODS = ("plain_mean_ucb", "direct_cost_uc", "relaxed_cost_power_05", "log_cost", | |
| "runtime_uncertainty", "cost_tiers_5") | |
| def git_blob_id(raw: bytes) -> str: | |
| return hashlib.sha1(b"blob " + str(len(raw)).encode() + b"\0" + raw).hexdigest() | |
| def main() -> int: | |
| p = argparse.ArgumentParser(description=__doc__) | |
| p.add_argument("--root", type=Path, default=Path(__file__).resolve().parents[1]) | |
| p.add_argument("--method", choices=METHODS, required=True) | |
| p.add_argument("--fold", type=int, choices=range(5), required=True) | |
| p.add_argument("--seed", type=int, choices=range(3), default=0) | |
| p.add_argument("--checkpoint", type=int, choices=range(1, 101), required=True) | |
| p.add_argument("--kind", choices=("matrix", "cumulative", "newly"), required=True) | |
| p.add_argument("--output", type=Path, help="CSV destination; omitted means stdout.") | |
| args = p.parse_args() | |
| base = f"{args.method}/fold{args.fold}/seed{args.seed}" | |
| pct = f"{args.checkpoint:03d}pct.csv" | |
| member = {"matrix": "strict_score_matrices/strict_score_" + pct, | |
| "cumulative": "queried_cells/cumulative/queried_" + pct, | |
| "newly": "queried_cells/newly_queried/queried_" + pct}[args.kind] | |
| logical = base + "/" + member | |
| match = None | |
| with gzip.open(args.root / "provenance/pinned_acquisition_files.jsonl.gz", "rt") as f: | |
| for line in f: | |
| row = json.loads(line) | |
| if row["path"] == logical: | |
| match = row | |
| break | |
| if match is None or match["status"] != "verified": | |
| raise RuntimeError(f"No verified archived artifact: {logical}") | |
| with tarfile.open(args.root / match["archive"], "r:xz") as archive: | |
| source = archive.extractfile(match["member"]) | |
| if source is None: | |
| raise RuntimeError("Archive member is not a regular file") | |
| raw = source.read() | |
| if match.get("encoding") == "final_ledger_prefix": | |
| raw = b"".join(raw.splitlines(keepends=True)[:match["data_rows"] + 1]) | |
| if git_blob_id(raw) != match["git_blob"] or hashlib.sha256(raw).hexdigest() != match["sha256"]: | |
| raise RuntimeError(f"Content verification failed: {logical}") | |
| if args.output: | |
| if args.output.exists(): | |
| raise FileExistsError(f"Refusing to overwrite {args.output}") | |
| args.output.parent.mkdir(parents=True, exist_ok=True) | |
| args.output.write_bytes(raw) | |
| else: | |
| sys.stdout.buffer.write(raw) | |
| return 0 | |
| if __name__ == "__main__": | |
| sys.exit(main()) | |