Download scripts/validate_dataset.py from OneScience-Group/cfd_benchmark: direct link, hf CLI and curl.
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https://huggingface.co/datasets/OneScience-Group/cfd_benchmark/resolve/main/scripts/validate_dataset.py
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hf download hf://datasets/OneScience-Group/cfd_benchmark/scripts/validate_dataset.py
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curl -L -o validate_dataset.py https://huggingface.co/datasets/OneScience-Group/cfd_benchmark/resolve/main/scripts/validate_dataset.py
4.13 kB
| #!/usr/bin/env python3 | |
| """Validate CFD_Benchmark dataset files without loading full arrays into memory.""" | |
| from __future__ import annotations | |
| import argparse | |
| import csv | |
| import hashlib | |
| import json | |
| from pathlib import Path | |
| from typing import Any | |
| def sha256_file(path: Path, chunk_size: int = 1024 * 1024 * 16) -> str: | |
| digest = hashlib.sha256() | |
| with path.open("rb") as handle: | |
| for chunk in iter(lambda: handle.read(chunk_size), b""): | |
| digest.update(chunk) | |
| return digest.hexdigest() | |
| def inspect_npy(path: Path) -> dict[str, Any]: | |
| import numpy as np | |
| array = np.load(path, mmap_mode="r") | |
| return {"format": "npy", "shape": list(array.shape), "dtype": str(array.dtype)} | |
| def inspect_mat(path: Path) -> dict[str, Any]: | |
| info: dict[str, Any] = {"format": "matlab_v5", "variables": []} | |
| try: | |
| import scipy.io as scio | |
| variables = [] | |
| for name, shape, dtype in scio.whosmat(path): | |
| variables.append({"name": name, "shape": list(shape), "dtype": str(dtype)}) | |
| info["variables"] = variables | |
| info["metadata_mode"] = "scipy.io.whosmat" | |
| except Exception as exc: # scipy is optional for integrity-only checks. | |
| info["metadata_mode"] = "header_only" | |
| info["metadata_warning"] = f"scipy.io.whosmat unavailable: {type(exc).__name__}: {exc}" | |
| with path.open("rb") as handle: | |
| info["header_prefix"] = handle.read(64).decode("latin1", errors="replace") | |
| return info | |
| def load_manifest(path: Path) -> list[dict[str, str]]: | |
| with path.open("r", newline="") as handle: | |
| return list(csv.DictReader(handle)) | |
| def main() -> int: | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--data-root", default="data", help="Dataset data root") | |
| parser.add_argument( | |
| "--file-manifest", | |
| default="metadata/file_manifest.csv", | |
| help="CSV with rel_path,size,sha256 entries", | |
| ) | |
| parser.add_argument("--skip-sha256", action="store_true", help="Only check names and sizes") | |
| parser.add_argument("--report", default="reports/dataset_validation.json") | |
| args = parser.parse_args() | |
| data_root = Path(args.data_root) | |
| manifest_path = Path(args.file_manifest) | |
| report_path = Path(args.report) | |
| report_path.parent.mkdir(parents=True, exist_ok=True) | |
| rows = load_manifest(manifest_path) | |
| results = [] | |
| ok = True | |
| for row in rows: | |
| rel_path = row["rel_path"] | |
| expected_size = int(row["size"]) | |
| expected_sha256 = row["sha256"] | |
| path = data_root / rel_path | |
| item: dict[str, Any] = { | |
| "rel_path": rel_path, | |
| "exists": path.exists(), | |
| "expected_size": expected_size, | |
| "expected_sha256": expected_sha256, | |
| } | |
| if not path.exists(): | |
| item["status"] = "missing" | |
| ok = False | |
| results.append(item) | |
| continue | |
| actual_size = path.stat().st_size | |
| item["actual_size"] = actual_size | |
| if actual_size != expected_size: | |
| item["status"] = "size_mismatch" | |
| ok = False | |
| else: | |
| item["status"] = "ok" | |
| if not args.skip_sha256: | |
| actual_sha256 = sha256_file(path) | |
| item["actual_sha256"] = actual_sha256 | |
| if actual_sha256 != expected_sha256: | |
| item["status"] = "sha256_mismatch" | |
| ok = False | |
| if path.suffix == ".npy": | |
| item["schema"] = inspect_npy(path) | |
| elif path.suffix == ".mat": | |
| item["schema"] = inspect_mat(path) | |
| results.append(item) | |
| report = { | |
| "ok": ok, | |
| "data_root": str(data_root), | |
| "file_manifest": str(manifest_path), | |
| "checked_files": len(results), | |
| "results": results, | |
| } | |
| report_path.write_text(json.dumps(report, indent=2, ensure_ascii=False) + "\n") | |
| if ok: | |
| print(f"DATASET_VALIDATION_OK checked_files={len(results)} report={report_path}") | |
| return 0 | |
| print(f"DATASET_VALIDATION_FAILED report={report_path}") | |
| return 1 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |