Datasets:
Formats:
json
Languages:
English
Size:
< 1K
Tags:
artificial-intelligence
recursive-self-improvement
continual-learning
representation-learning
world-models
cognitive-architecture
Download validate_release.py from PureOne/FNE-AXIOMESH: direct link, hf CLI and curl.
- Browser
- Download file 7.31 kB
-
https://huggingface.co/datasets/PureOne/FNE-AXIOMESH/resolve/main/validate_release.py
- Command line
-
hf download hf://datasets/PureOne/FNE-AXIOMESH/validate_release.py
-
curl -L -o validate_release.py https://huggingface.co/datasets/PureOne/FNE-AXIOMESH/resolve/main/validate_release.py
7.31 kB
| #!/usr/bin/env python3 | |
| """Offline release checks; explicit manifest refresh after intentional edits.""" | |
| from __future__ import annotations | |
| import argparse | |
| import hashlib | |
| import json | |
| from pathlib import Path | |
| import re | |
| import sys | |
| ROOT = Path(__file__).resolve().parent | |
| IGNORED_DIRS = {".git", ".venv", "venv", "__pycache__", ".pytest_cache", "local_runs", "build", "dist"} | |
| IGNORED_NAMES = {".env", "upload_error.log"} | |
| REQUIRED = ["README.md", "AGENTS.md", "AGENT_CAPABILITIES.json", "RESEARCH_INDEX.json", | |
| "agent_request.schema.json", "agent_interface.py", "CITATION.cff", "STATUS.json", | |
| "docs/CLAIMS.json", "docs/EXPERT_REVIEW.md", "docs/AGENT_SUPPORT.md", | |
| "manuscript/FNE_AXIOMESH_Manuscript.pdf", "src/axiomesh/core.py", | |
| "data/experiment_runs.jsonl", "data/README.md"] | |
| def release_files(root=ROOT): | |
| files = [] | |
| for path in root.rglob("*"): | |
| relative = path.relative_to(root) | |
| if any(part in IGNORED_DIRS or part.endswith(".egg-info") for part in relative.parts): | |
| continue | |
| if path.name in IGNORED_NAMES or path.name.startswith(".env."): | |
| continue | |
| if path.suffix.lower() in {".pyc", ".pyo"} or path.is_symlink(): | |
| continue | |
| if path.is_file(): | |
| files.append(path) | |
| return sorted(files) | |
| def hashes(root=ROOT): | |
| return {p.relative_to(root).as_posix(): hashlib.sha256(p.read_bytes()).hexdigest() | |
| for p in release_files(root) if p.name != "MANIFEST.json"} | |
| def check_manifest(root=ROOT): | |
| obj = json.loads((root / "MANIFEST.json").read_text(encoding="utf-8")) | |
| if obj.get("algorithm") != "sha256" or not isinstance(obj.get("files"), dict): | |
| raise ValueError("invalid release manifest") | |
| problems = [] | |
| for name, expected in obj["files"].items(): | |
| if not isinstance(name, str) or "\\" in name or Path(name).is_absolute(): | |
| raise ValueError("unsafe manifest path") | |
| path = root / name | |
| if not path.resolve().is_relative_to(root.resolve()) or path.is_symlink(): | |
| raise ValueError("unsafe manifest path") | |
| if not isinstance(expected, str) or not re.fullmatch(r"[0-9a-f]{64}", expected): | |
| raise ValueError("invalid checksum") | |
| if not path.is_file(): | |
| problems.append({"file": name, "problem": "missing"}) | |
| elif hashlib.sha256(path.read_bytes()).hexdigest() != expected: | |
| problems.append({"file": name, "problem": "hash mismatch"}) | |
| for name in REQUIRED: | |
| if name not in obj["files"]: | |
| problems.append({"file": name, "problem": "not manifest-controlled"}) | |
| if problems: | |
| raise ValueError("release integrity failed: " + json.dumps(problems)) | |
| return obj | |
| def check_links(root, files): | |
| count = 0 | |
| for name in files: | |
| if not name.endswith(".md"): | |
| continue | |
| data = (root / name).read_text(encoding="utf-8") | |
| for target in re.findall(r"\[[^\]\n]+\]\(([^\s)]+)\)", data): | |
| if ":" in target or target.startswith("#"): | |
| continue | |
| target = target.split("#", 1)[0] | |
| if target and not (root / name).parent.joinpath(target).exists(): | |
| raise ValueError(f"broken local Markdown link: {name} -> {target}") | |
| count += 1 | |
| return count | |
| def check_schemas(root): | |
| from jsonschema import Draft202012Validator | |
| from jsonschema.exceptions import SchemaError, ValidationError | |
| try: | |
| schema = json.loads((root / "agent_request.schema.json").read_text()) | |
| Draft202012Validator.check_schema(schema) | |
| validator = Draft202012Validator(schema) | |
| for name in ["agent_recover.json", "agent_revalidate.json", "agent_compile.json"]: | |
| validator.validate(json.loads((root / "examples" / name).read_text())) | |
| except (SchemaError, ValidationError) as exc: | |
| raise ValueError("agent request schema validation failed: " + exc.message) from exc | |
| return 3 | |
| def check_navigation(root): | |
| index = json.loads((root / "RESEARCH_INDEX.json").read_text()) | |
| capabilities = json.loads((root / "AGENT_CAPABILITIES.json").read_text()) | |
| paths = [*index["entrypoints"].values(), *index["evidence"].values(), | |
| index["manuscript"]["pdf"], index["manuscript"]["source"], | |
| capabilities["invocation"]["file"], capabilities["invocation"]["schema"], | |
| *capabilities["routes"].values(), index["hosting"]["data_file"]] | |
| for name in paths: | |
| if not (root / name).is_file(): | |
| raise ValueError("missing research-index target: " + name) | |
| return len(paths) | |
| def check_dataset(root): | |
| records = [json.loads(line) for line in (root / "data/experiment_runs.jsonl").read_text().splitlines() if line.strip()] | |
| if len(records) != 5 or len({row["seed"] for row in records}) != 5: | |
| raise ValueError("expected five distinct seeded experiment-summary rows") | |
| for row in records: | |
| source = json.loads((root / row["source_result_file"]).read_text()) | |
| learned = source["learned_esre_pipeline"] | |
| if row["seed"] != source["seed"] or row["weave_correct"] != learned["weave_correct"] or row["pooled_baseline_correct"] != learned["conventional_pooled_group_correct"]: | |
| raise ValueError("dataset row differs from its recorded source") | |
| return len(records) | |
| def main(argv=None): | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument("--refresh-manifest", action="store_true", help="write checksums after intended edits") | |
| parser.add_argument("--schemas", action="store_true", help="validate requests with optional jsonschema") | |
| args = parser.parse_args(argv) | |
| try: | |
| if args.refresh_manifest: | |
| obj = {"version": "0.2.0-hf3-dataset", "source_release": "FNE-AXIOMESH v0.2.0", | |
| "packaging_date": "2026-10-07", "algorithm": "sha256", "files": hashes(), | |
| "note": "Dataset edition with agent and expert support; checksum of this manifest is excluded. Core unchanged. No reuse license selected."} | |
| (ROOT / "MANIFEST.json").write_text(json.dumps(obj, indent=2) + "\n", encoding="utf-8") | |
| manifest = check_manifest() | |
| json_count = 0 | |
| for name in manifest["files"]: | |
| if name.endswith(".json"): | |
| json.loads((ROOT / name).read_text(encoding="utf-8")) | |
| json_count += 1 | |
| links = check_links(ROOT, manifest["files"]) | |
| research_links = check_navigation(ROOT) | |
| dataset_rows = check_dataset(ROOT) | |
| schema_count = check_schemas(ROOT) if args.schemas else 0 | |
| print(json.dumps({"status": "passed", "manifest_files": len(manifest["files"]), | |
| "json_files": json_count, "local_links": links, | |
| "research_index_targets": research_links, | |
| "dataset_rows": dataset_rows, | |
| "schema_validated_examples": schema_count, | |
| "scope": "release integrity and structure; not scientific peer review"})) | |
| return 0 | |
| except (OSError, ValueError, ImportError) as exc: | |
| print(json.dumps({"status": "error", "detail": str(exc)})) | |
| return 1 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |