Datasets:
Formats:
json
Languages:
English
Size:
< 1K
Tags:
mathematics
differential-privacy
learning-theory
pac-learning
littlestone-dimension
vc-dimension
File size: 4,305 Bytes
e3791a2 | 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 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 | """Verify the archived release and the exact derived data. Standard library only."""
from pathlib import Path
import hashlib
import json
import re
ROOT = Path(__file__).resolve().parents[1]
def sha(path):
return hashlib.sha256(path.read_bytes()).hexdigest()
def rows(name):
return [json.loads(line) for line in (ROOT / 'data' / (name + '.jsonl')).read_text(encoding='utf-8').splitlines() if line.strip()]
def main():
manifest = ROOT / 'SHA256SUMS.txt'
expected = set()
for line in manifest.read_text(encoding='utf-8').splitlines():
digest, relative = line.split(' ', 1)
if not re.fullmatch('[0-9a-f]{64}', digest):
raise ValueError('Invalid manifest digest')
path = ROOT / relative
if path.is_symlink() or not path.is_file() or not path.resolve().is_relative_to(ROOT):
raise ValueError(f'Invalid path: {relative}')
if relative in expected or sha(path) != digest:
raise ValueError(f'Checksum or duplicate failure: {relative}')
expected.add(relative)
actual = {p.relative_to(ROOT).as_posix() for p in ROOT.rglob('*') if p.is_file() and p != manifest and '__pycache__' not in p.parts and p.suffix != '.pyc'}
if actual != expected:
raise ValueError(f'Unlisted or missing files: {sorted(actual.symmetric_difference(expected))}')
for line in (ROOT / 'research' / 'SHA256SUMS.txt').read_text().splitlines():
digest, filename = line.split(' ', 1)
if sha(ROOT / 'research' / filename) != digest:
raise ValueError(f'Original file changed: {filename}')
tex_path = ROOT / 'research' / 'Orythmea_Private_Covers.tex'
tex_bytes = tex_path.read_bytes()
tex = tex_bytes.decode('utf-8')
sections = rows('manuscript_sections')
if ''.join(row['text'] for row in sections).encode('utf-8') != tex_bytes:
raise ValueError('Sections do not reconstruct the original source')
offset = 0
for i, row in enumerate(sections):
if row['section_index'] != i or row['source_sha256'] != sha(tex_path):
raise ValueError('Invalid section ordering or source hash')
if row['line_start'] != tex.count('\n', 0, offset) + 1:
raise ValueError('Incorrect section source line')
offset += len(row['text'])
if row['line_end'] != tex.count('\n', 0, offset-1) + 1:
raise ValueError('Incorrect section ending line')
claims = rows('claims')
for row in claims:
statement = row['statement_latex']
pos = tex.find(statement)
if pos < 0 or row['source_line'] != tex.count('\n', 0, pos) + 1:
raise ValueError(f'Invalid copied statement: {row["record_id"]}')
if row['source_sha256'] != sha(tex_path) or row['universal_conjecture_resolved']:
raise ValueError('Invalid statement provenance/status')
if '\\label{' + row['source_label'] + '}' not in statement:
raise ValueError('Missing statement label')
checks = rows('verification_checks')
for row in checks:
original = json.loads((ROOT / row['source_path']).read_text())
expected_group = original['checks'][row['check_name']] if row['suite'] == 'orythmea' else original[row['check_name']]
if json.loads(row['results_json']) != expected_group:
raise ValueError('Changed verification group')
metadata = json.loads((ROOT / 'release_metadata.json').read_text())
counts = {'manuscript_sections': len(sections), 'claims': len(claims), 'verification_checks': len(checks)}
if metadata['data_configs'] != counts or metadata['universal_conjecture_resolved']:
raise ValueError('Invalid release metadata')
for name in counts:
data = rows(name)
keys = set(data[0])
types = {k: type(data[0][k]) for k in keys}
if len({row['record_id'] for row in data}) != len(data):
raise ValueError('Duplicate record IDs')
for row in data:
if set(row) != keys or any(type(row[k]) != types[k] for k in keys):
raise ValueError('Inconsistent dataset schema')
print(json.dumps({'status': 'passed', 'manifest_files': len(expected), 'original_files_preserved': 8, 'dataset_records': counts}, indent=2))
if __name__ == '__main__':
main()
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