Datasets:
Formats:
json
Languages:
English
Size:
1K - 10K
Tags:
programmable-matter
nanofabrication
hierarchical-self-assembly
dna-origami
material-voxels
kinetic-proofreading
License:
File size: 7,329 Bytes
860030d | 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 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 | """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()
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