Datasets:
Download load_test.py from QLU-LLM/MAGAR-Bench: direct link, hf CLI and curl.
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- Download file 2.53 kB
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https://huggingface.co/datasets/QLU-LLM/MAGAR-Bench/resolve/main/load_test.py
- Command line
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hf download hf://datasets/QLU-LLM/MAGAR-Bench/load_test.py
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curl -L -o load_test.py https://huggingface.co/datasets/QLU-LLM/MAGAR-Bench/resolve/main/load_test.py
2.53 kB
| """Load Test records and safely extract the exact referenced images; stdlib only.""" | |
| from __future__ import annotations | |
| import argparse | |
| import json | |
| from pathlib import Path | |
| import tempfile | |
| import zipfile | |
| from verify_release import file_hash, safe_image_path, verify | |
| def load_test(root=None, extract_dir=None): | |
| root = Path(root or Path(__file__).resolve().parent).resolve() | |
| result = verify(root) | |
| if result['errors']: | |
| raise ValueError('Release verification failed: ' + '; '.join(result['errors'])) | |
| archive_path = root/'images.zip' | |
| destination = (Path(extract_dir).resolve() if extract_dir else | |
| Path(tempfile.gettempdir())/'magar-bench-test'/file_hash(archive_path)[:16]) | |
| index = json.loads((root/'image_manifest.json').read_text(encoding='utf-8'))['images'] | |
| destination.mkdir(parents=True, exist_ok=True) | |
| with zipfile.ZipFile(archive_path) as archive: | |
| for entry in index: | |
| name = entry['path'] | |
| if not safe_image_path(name): | |
| raise ValueError(f'Unsafe archive path: {name}') | |
| target = (destination/name).resolve() | |
| if not target.is_relative_to(destination.resolve()): | |
| raise ValueError(f'Path escapes extraction directory: {name}') | |
| if target.is_file() and file_hash(target) == entry['sha256']: | |
| continue | |
| if target.exists(): | |
| raise ValueError(f'Existing cache file differs from release: {target}') | |
| target.parent.mkdir(parents=True, exist_ok=True) | |
| with target.open('xb') as stream: | |
| stream.write(archive.read(name)) | |
| if file_hash(target) != entry['sha256']: | |
| raise ValueError(f'Extracted image mismatch: {target}') | |
| rows = [json.loads(line) for line in (root/'test.jsonl').read_text(encoding='utf-8').splitlines() if line.strip()] | |
| for row in rows: | |
| row['images'] = [str((destination/name).resolve()) for name in row['images']] | |
| return rows | |
| if __name__ == '__main__': | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument('--root', type=Path, default=Path(__file__).resolve().parent) | |
| parser.add_argument('--extract-dir', type=Path) | |
| args = parser.parse_args() | |
| loaded = load_test(args.root, args.extract_dir) | |
| print(json.dumps({'test_rows':len(loaded), 'resolved_unique_images':len({p for r in loaded for p in r['images']}), | |
| 'first_sample_id':loaded[0]['id'], 'first_image':loaded[0]['images'][0]}, indent=2)) | |