Datasets:
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json
Languages:
English
Size:
< 1K
Tags:
mathematics
nonlinear-systems
model-reduction
state-representation
exterior-algebra
exact-arithmetic
Download verify_release.py from PureOne/AELYRAITH-III: direct link, hf CLI and curl.
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- Download file 4.66 kB
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https://huggingface.co/datasets/PureOne/AELYRAITH-III/resolve/main/verify_release.py
- Command line
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hf download hf://datasets/PureOne/AELYRAITH-III/verify_release.py
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curl -L -o verify_release.py https://huggingface.co/datasets/PureOne/AELYRAITH-III/resolve/main/verify_release.py
4.66 kB
| """Verify local release hashes, retained originals, and derived data. No network.""" | |
| from pathlib import Path, PurePosixPath | |
| import hashlib | |
| import json | |
| import sys | |
| ROOT = Path(__file__).resolve().parent | |
| def safe_path(name): | |
| p = PurePosixPath(name) | |
| if p.is_absolute() or not p.parts or any(x in ('..', '.') for x in p.parts) or '\\' in name or ':' in name: | |
| raise ValueError(f'Unsafe release path: {name!r}') | |
| local = ROOT.joinpath(*p.parts) | |
| if local.is_symlink() or not local.resolve().is_relative_to(ROOT.resolve()): | |
| raise ValueError(f'Path escapes release: {name!r}') | |
| return local | |
| def verify(): | |
| manifest = json.loads((ROOT/'release_manifest.json').read_text(encoding='utf-8')) | |
| files = manifest['files'] | |
| if not files: | |
| raise ValueError('Empty manifest') | |
| for name, entry in files.items(): | |
| raw = safe_path(name).read_bytes() | |
| if len(raw) != entry['bytes'] or hashlib.sha256(raw).hexdigest() != entry['sha256']: | |
| raise ValueError(f'Release checksum mismatch: {name}') | |
| inventory = json.loads((ROOT/'provenance/source_inventory.json').read_text(encoding='utf-8')) | |
| for entry in inventory['files']: | |
| raw = safe_path(entry['preserved_path']).read_bytes() | |
| if hashlib.sha256(raw).hexdigest() != entry['sha256'] or len(raw) != entry['bytes']: | |
| raise ValueError(f'Original source changed: {entry["archive_path"]}') | |
| counts = {} | |
| for name in ('research_corpus','claims','review_tasks'): | |
| rows = [json.loads(line) for line in (ROOT/f'data/{name}.jsonl').read_text(encoding='utf-8').splitlines()] | |
| if len({row['id'] for row in rows}) != len(rows): | |
| raise ValueError(f'Duplicate record IDs: {name}') | |
| schema = json.loads((ROOT/f'schemas/{name}.schema.json').read_text(encoding='utf-8')) | |
| for row in rows: | |
| if set(row) != set(schema['required']): | |
| raise ValueError(f'Record fields differ from schema: {name}') | |
| for key, spec in schema['properties'].items(): | |
| value = row[key] | |
| expected = spec['type'] | |
| if expected == 'string' and not isinstance(value,str): | |
| raise ValueError(f'Expected string in {name}.{key}') | |
| if expected == 'integer' and (not isinstance(value,int) or isinstance(value,bool)): | |
| raise ValueError(f'Expected integer in {name}.{key}') | |
| if name == 'research_corpus': | |
| raw = safe_path(row['source_path']).read_bytes() | |
| text = raw.decode('utf-8') | |
| start,end = row['char_start'],row['char_end'] | |
| if not 0 <= start < end <= len(text) or row['text'] != text[start:end]: | |
| raise ValueError(f'Corpus slice mismatch: {row["id"]}') | |
| if hashlib.sha256(raw).hexdigest() != row['source_sha256']: | |
| raise ValueError(f'Corpus source mismatch: {row["id"]}') | |
| elif name == 'claims': | |
| raw = safe_path(row['source_path']).read_bytes() | |
| if hashlib.sha256(raw).hexdigest() != row['source_sha256']: | |
| raise ValueError(f'Claim source mismatch: {row["id"]}') | |
| elif name == 'review_tasks': | |
| for source in json.loads(row['required_sources']): | |
| if not safe_path(source).is_file(): | |
| raise ValueError(f'Missing task source: {source}') | |
| counts[name] = len(rows) | |
| import csv | |
| from tools.build_agent_data import typed_csv | |
| for path in sorted((ROOT/'results').glob('*.csv')): | |
| with path.open(newline='',encoding='utf-8') as f: | |
| source_rows = [{key:typed_csv(value) for key,value in row.items()} for row in csv.DictReader(f)] | |
| derived_rows = [json.loads(line) for line in (ROOT/f'data/{path.stem}.jsonl').read_text(encoding='utf-8').splitlines()] | |
| if source_rows != derived_rows: | |
| raise ValueError(f'Derived experiment table differs: {path.stem}') | |
| counts[path.stem] = len(source_rows) | |
| if counts != json.loads((ROOT/'data/counts.json').read_text(encoding='utf-8')): | |
| raise ValueError('Dataset count mismatch') | |
| print(f'PASS: {len(files)} release files; {len(inventory["files"])} original files; dataset source slices and counts verified.') | |
| print('Checksums establish local integrity, not authorship, mathematical truth, or publication priority.') | |
| return manifest | |
| if __name__ == '__main__': | |
| try: | |
| verify() | |
| except (OSError, ValueError, KeyError, TypeError) as exc: | |
| print(f'FAIL: {exc}',file=sys.stderr) | |
| raise SystemExit(1) | |