Datasets:
Formats:
json
Languages:
English
Size:
1K - 10K
Tags:
programmable-matter
nanofabrication
hierarchical-self-assembly
dna-origami
material-voxels
kinetic-proofreading
License:
Download tools/validate_release.py from PureOne/universal-programmable-matter-voxels: direct link, hf CLI and curl.
- Browser
- Download file 7.33 kB
-
https://huggingface.co/datasets/PureOne/universal-programmable-matter-voxels/resolve/main/tools/validate_release.py
- Command line
-
hf download hf://datasets/PureOne/universal-programmable-matter-voxels/tools/validate_release.py
-
curl -L -o validate_release.py https://huggingface.co/datasets/PureOne/universal-programmable-matter-voxels/resolve/main/tools/validate_release.py
7.33 kB
| """Validate local release contracts. No network calls or remote mutations. | |
| Requires requirements-validation.txt. Reports checks to stdout; changes no files. | |
| """ | |
| from __future__ import annotations | |
| import csv | |
| import hashlib | |
| import json | |
| import math | |
| from pathlib import Path | |
| import re | |
| import sys | |
| import jsonschema | |
| import yaml | |
| from huggingface_hub import DatasetCard | |
| ROOT = Path(__file__).resolve().parents[1] | |
| sys.path.insert(0, str(ROOT / "publisher")) | |
| from publish import verify_local | |
| def digest(path): | |
| return hashlib.sha256(path.read_bytes()).hexdigest() | |
| def main(): | |
| checks = [] | |
| release, expected = verify_local(ROOT) | |
| checks.append("Checksum allowlist, required files, safe paths and token-pattern scan") | |
| for file in ROOT.rglob("*.json"): | |
| if ".venv" not in str(file): | |
| json.loads(file.read_text(encoding="utf-8")) | |
| checks.append("JSON artifacts parse") | |
| baseline = json.loads((ROOT/"validation/SCIENTIFIC_BASELINE_SHA256.json").read_text()) | |
| for relative, expected_sha in baseline["files"].items(): | |
| assert digest(ROOT/relative) == expected_sha, relative | |
| checks.append(f"{len(baseline['files'])} original scientific files preserved byte for byte") | |
| for change in baseline.get("formatting_only_changes", []): | |
| content = (ROOT/change["path"]).read_text(encoding="utf-8") | |
| assert content.count(change["replacement"]) == 1 | |
| original = content.replace(change["replacement"], change["original"]) | |
| assert hashlib.sha256(original.encode()).hexdigest() == change["original_sha256"] | |
| checks.append("Supplement differs only by its recorded inline-math formatting correction") | |
| export = json.loads((ROOT/"data/export_manifest.json").read_text()) | |
| rows_by_config = {} | |
| for name, record in export["configs"].items(): | |
| file = ROOT/record["path"] | |
| assert digest(file) == record["sha256"], name | |
| rows = [json.loads(line) for line in file.read_text(encoding="utf-8").splitlines()] | |
| assert len(rows) == record["rows"], name | |
| schema = json.loads((ROOT/"schemas"/(name+".schema.json")).read_text()) | |
| jsonschema.Draft202012Validator.check_schema(schema) | |
| validator = jsonschema.Draft202012Validator(schema) | |
| for row in rows: | |
| validator.validate(row) | |
| if "source_sha256" in row: | |
| assert digest(ROOT/row["source_path"]) == row["source_sha256"], row | |
| rows_by_config[name] = rows | |
| checks.append("Six JSONL configurations: counts, hashes, strict schemas and source provenance") | |
| readme = (ROOT/"README.md").read_text(encoding="utf-8") | |
| metadata = yaml.safe_load(readme.split("---", 2)[1]) | |
| DatasetCard(readme) # local SDK parser only; no .validate() network call | |
| configs = metadata["configs"] | |
| assert {c["config_name"] for c in configs} == set(rows_by_config) | |
| for config in configs: | |
| assert config["data_files"][0]["path"] == export["configs"][config["config_name"]]["path"] | |
| assert sum(bool(c.get("default")) for c in configs) == 1 | |
| assert metadata["license"] == "cc-by-4.0" | |
| checks.append("Hub dataset card parses; six explicit configs and one default map to real files") | |
| for document in {row["source_path"] for row in rows_by_config["research_sections"]}: | |
| chunks = [r for r in rows_by_config["research_sections"] if r["source_path"] == document] | |
| source = (ROOT/document).read_text(encoding="utf-8") | |
| assert "".join(row["text"] for row in chunks) == source | |
| lines = source.splitlines(keepends=True) | |
| for row in chunks: | |
| assert row["text"] == "".join(lines[row["source_line_start"]-1:row["source_line_end"]]) | |
| assert hashlib.sha256(row["text"].encode()).hexdigest() == row["text_sha256"] | |
| checks.append("All three scientific text sources reconstructed exactly from retrieval chunks") | |
| raw_csv = {} | |
| for row in rows_by_config["kinetic_runs"]: | |
| name = row["source_path"] | |
| if name not in raw_csv: | |
| with (ROOT/name).open(newline="") as stream: | |
| raw_csv[name] = list(csv.DictReader(stream)) | |
| source = raw_csv[name][row["source_row"]-2] | |
| for key, value in source.items(): | |
| if key == "mode": | |
| assert row[key] == value | |
| else: | |
| assert float(row[key]) == float(value) | |
| fractions = [row[key] for key in ("correct_fraction", "wrong_fraction", "missing_fraction")] | |
| assert all(-1e-12 <= value <= 1+1e-12 for value in fractions) | |
| assert abs(sum(fractions)-1) < 1e-10 | |
| assert all(math.isfinite(value) for value in row.values() if isinstance(value, (float, int))) | |
| checks.append("775 kinetic records agree field by field with raw CSV and retain normalized outcomes") | |
| code = [row["symbols"] for row in rows_by_config["interface_codebook"]] | |
| assert len(code) == 128 | |
| assert min(sum(a != b for a,b in zip(x,y)) for i,x in enumerate(code) for y in code[i+1:]) == 3 | |
| with (ROOT/"results/example_codebook.csv").open() as stream: | |
| assert code == [list(map(int,row)) for row in csv.reader(stream)] | |
| checks.append("All 128 headerless source codewords retained; minimum Hamming distance is three") | |
| for row in rows_by_config["claims"]: | |
| assert (ROOT/row["evidence_path"]).is_file(), row["id"] | |
| checks.append("Twelve claim records resolve to evidence files") | |
| cff = yaml.safe_load((ROOT/"CITATION.cff").read_text()) | |
| assert cff["cff-version"] == "1.2.0" and cff["type"] == "dataset" | |
| assert cff["authors"][0]["name"] == release["author"] | |
| assert cff["version"] == release["release_version"] == "1.0.1" | |
| assert cff["url"] == release["repository_url"] | |
| checks.append("Citation identity, version and canonical destination are consistent") | |
| # File links only. Remote accessibility and renderer-specific anchor slugs | |
| # are intentionally not asserted by this offline check. | |
| checked_links = 0 | |
| for file in ROOT.rglob("*.md"): | |
| content = file.read_text(encoding="utf-8") | |
| content = re.sub(r"\$\$.*?\$\$", "", content, flags=re.S) | |
| content = re.sub(r"\$[^\n$]+\$", "", content) | |
| for target in re.findall(r"\[[^\]\n]+\]\(([^)]+)\)", content): | |
| if re.match(r"[a-zA-Z][a-zA-Z0-9+.-]*:", target) or target.startswith("#"): | |
| continue | |
| relative = target.split("#",1)[0] | |
| if relative: | |
| assert (file.parent/relative).exists(), (str(file.relative_to(ROOT)), target) | |
| checked_links += 1 | |
| checks.append(f"{checked_links} local Markdown file links resolve") | |
| bat = (ROOT/"PUBLISH_TO_HUGGINGFACE.bat").read_bytes() | |
| assert b"--publish --open" in bat and b"DisableDelayedExpansion" in bat | |
| assert b"\r\n" in bat and b"\n" not in bat.replace(b"\r\n",b"") | |
| checks.append("Windows launcher has CRLF lines and fixed publisher target") | |
| print(json.dumps({"status":"passed", "checks": checks, | |
| "data_records":sum(len(rows) for rows in rows_by_config.values()), | |
| "checksum_listed_files_including_manifest":len(expected), | |
| "not_validated_here":["actual authenticated Hub upload", "Windows execution", | |
| "Hub Dataset Viewer ingestion", "physical science premises"]}, indent=2)) | |
| if __name__ == "__main__": | |
| main() | |