File size: 2,400 Bytes
e45abdb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | from __future__ import annotations
import argparse
import hashlib
import json
from pathlib import Path
import sys
ROOT = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(ROOT / "src"))
from sparsewake.data import LABEL_NAMES, describe_h5, load_h5
def sha256(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as handle:
for chunk in iter(lambda: handle.read(1024 * 1024), b""):
digest.update(chunk)
return digest.hexdigest()
def verify_checksums(manifest: Path, root: Path) -> dict[str, object]:
checked = []
for raw in manifest.read_text().splitlines():
line = raw.strip()
if not line or line.startswith("#"):
continue
expected, rel = line.split(None, 1)
path = root / rel
if not path.exists():
raise SystemExit(f"Checksum target is missing: {rel}")
found = sha256(path)
if found.lower() != expected.lower():
raise SystemExit(f"Checksum mismatch for {rel}: expected {expected}, found {found}")
checked.append(rel)
return {"checksum_manifest": manifest.as_posix(), "files_checked": len(checked)}
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--data", required=True)
parser.add_argument("--checksums", default=None)
args = parser.parse_args()
data = load_h5(args.data)
required = ["X_raw", "y", "groups", "region_id", "sensor_world_positions"]
missing = [key for key in required if key not in data]
if missing:
raise SystemExit(f"Missing required datasets: {missing}")
if data["input"].ndim != 3 or data["input"].shape[1:] != (6, 3):
raise SystemExit(f"Expected input shape [N, 6, 3], found {data['input'].shape}")
if data["y"].shape[1] < len(LABEL_NAMES):
raise SystemExit(f"Expected at least {len(LABEL_NAMES)} label columns, found {data['y'].shape[1]}")
if len(set(data["pose_id"].tolist())) < 2:
raise SystemExit("Pose-holdout verification requires at least two inferred poses")
summary = describe_h5(args.data)
summary["n_samples"] = int(data["y"].shape[0])
summary["n_poses"] = int(len(set(data["pose_id"].tolist())))
if args.checksums:
summary["checksums"] = verify_checksums(Path(args.checksums), ROOT)
print(json.dumps(summary, indent=2))
if __name__ == "__main__":
main()
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