| """Verify downloaded bytes, split counts, label mapping and exact cache layout.""" |
| import argparse,hashlib,json |
| from collections import Counter |
| from pathlib import Path |
| import pyarrow.parquet as pq |
| from release_reader import load_processed,read_frames,resolve |
|
|
| def sha(path): |
| h=hashlib.sha256() |
| with path.open('rb') as f: |
| for b in iter(lambda:f.read(1024*1024),b''):h.update(b) |
| return h.hexdigest() |
|
|
| def main(root): |
| files=0 |
| listed=set() |
| for line in (root/'checksums.sha256').read_text().splitlines(): |
| digest,relative=line.split(' ',1) |
| assert relative not in listed,relative |
| listed.add(relative) |
| assert sha(resolve(root,relative))==digest,relative |
| files+=1 |
| actual={str(p.relative_to(root)) for p in root.rglob('*') if p.is_file()} |
| |
| actual={p for p in actual if not p.startswith('.cache/') and '__pycache__' not in Path(p).parts} |
| assert actual==listed|{'checksums.sha256'},'Unexpected or missing package files' |
| expected={'train':4800,'test_ind':1200,'test_ood':400} |
| video_splits={} |
| for split,count in expected.items(): |
| rows=load_processed(root,split);assert len(rows)==count |
| byid={r['id']:r for r in rows};assert len(byid)==count |
| for row in rows: |
| frames=read_frames(root,row) |
| assert frames.shape==(32,224,224,3) and str(frames.dtype)=='uint8' |
| assert len(row['target_progress'])==32 |
| total=0;seen=set();classes=Counter() |
| for p in sorted((root/'data'/split).glob('*.parquet')): |
| for batch in pq.ParquetFile(p).iter_batches(batch_size=8): |
| for row in batch.to_pylist(): |
| assert row['split']==split |
| assert row['id'] not in seen |
| seen.add(row['id']) |
| digest=hashlib.sha256(row['video']['bytes']).hexdigest() |
| assert digest==row['video_sha256']==sha(resolve(root,row['repro_video'])) |
| assert video_splits.setdefault(digest,split)==split,'Cross-split duplicate video' |
| assert row['processed_target_progress']==byid[row['id']]['target_progress'] |
| assert row['lang_vector']==byid[row['id']]['lang_vector'] |
| assert len(row['target_progress'])==len(row['progress_frame_indices']) |
| assert row['progress_frame_indices']==list(range(row['video_frame_offset'],row['video_num_frames'])) |
| classes[(row['task_id'],row['quality_label'])]+=1 |
| total+=1 |
| assert total==count |
| assert seen==set(byid) |
| assert len(classes)==(8 if split=='test_ood' else 24) |
| assert set(classes.values())=={200 if split=='train' else 50} |
| print(json.dumps({'status':'passed','files':files,'items':sum(expected.values())})) |
|
|
| if __name__=='__main__': |
| p=argparse.ArgumentParser();p.add_argument('--root',type=Path,required=True);a=p.parse_args();main(a.root.resolve()) |
|
|
