#!/usr/bin/env python3 """Build disjoint, support-matched Level 3 development candidate pools.""" from __future__ import annotations import argparse from collections import Counter import hashlib import json from pathlib import Path import sys ROOT = Path(__file__).resolve().parents[2] for path in (ROOT / "src", ROOT / "ops", ROOT / "ops/exp_scaling"): if str(path) not in sys.path: sys.path.insert(0, str(path)) from materialize_modebench_harder_v2 import ( DOMAINS, LEVEL1, SPLITS, existing_ids, identity_set, load_rows, modes, row_hash, ) REFERENCE = ROOT / "var/data/modebench_harder_v2_matched_r5" DEFAULT_OUTPUT = ROOT / "var/data/modebench_level3_calibration_v1" SEEDS = {domain: 6317100 + 10000 * i for i, domain in enumerate(DOMAINS)} def write_json(path: Path, value) -> None: path.parent.mkdir(parents=True, exist_ok=True) with path.open("x") as handle: json.dump(value, handle, indent=2, sort_keys=True) handle.write("\n") def historical_ids(domain: str) -> set: blocked = existing_ids(domain) data_root = ROOT / "var/data" prior_roots = set(data_root.glob("modebench_harder*")) | set(data_root.glob("modebench_level3*")) for root in sorted(prior_roots): if not root.is_dir(): continue for split, (_, dataset_split) in SPLITS.items(): path = root / domain / split if path.is_dir() and (path / "dataset_dict.json").exists(): from datasets import load_from_disk dataset = load_from_disk(str(path)) for subset in dataset.values(): blocked |= identity_set(domain, [dict(row) for row in subset]) return blocked def reference_rows(domain: str, split: str) -> list[dict]: return load_rows(REFERENCE / domain / split, SPLITS[split][1]) def generator(domain: str): if domain == "graph_coloring": from modebench_level3_graph_v6 import build_pool elif domain == "python_factors": from modebench_level3_python_v4 import build_pool elif domain == "mathir": from modebench_level3_mathir_sign_v1 import build_pool elif domain == "countdown": from modebench_level3_countdown_v3 import build_pool else: from modebench_level3_constraints import build_pool return build_pool def verify_rows(domain: str, rows: list[dict], reference: list[dict], target: Counter, blocked: set) -> dict: ids = identity_set(domain, rows) def contract(row): return (row["modebench_task"], json.loads(row["answer"])["verifier"]) checks = { "row_count": len(rows) == sum(target.values()), "unique_identities": len(ids) == len(rows), "historical_and_cross_split_disjointness": not (ids & blocked), "exact_support_histogram": modes(rows) == target, "unchanged_verifier_contract": {contract(r) for r in rows} == {contract(r) for r in reference}, } if not all(checks.values()): raise RuntimeError(f"{domain} structural checks failed: {checks}") return checks def build_development_pool(domain: str, difficulty: int, output: Path, multiplier: int = 1) -> dict: directory = output / "pools" / domain rows_path = directory / f"difficulty_{difficulty}.jsonl" manifest_path = rows_path.with_suffix(".identity.json") if rows_path.exists() or manifest_path.exists(): raise FileExistsError(rows_path) reference = reference_rows(domain, "dev") target = Counter({k: v * multiplier for k, v in modes(reference).items()}) blocked = historical_ids(domain) pool_directories = {directory} pool_directories.update(root / "pools" / domain for root in (ROOT / "var/data").glob("modebench_level3_calibration*")) for pool_directory in sorted(pool_directories): for path in sorted(pool_directory.glob("*.jsonl")): blocked |= identity_set(domain, [json.loads(line) for line in path.read_text().splitlines()]) seed = SEEDS[domain] + 1000 * difficulty extra = {} if domain == "pantry": extra["joint_target"] = Counter({k: v * multiplier for k, v in Counter((int(r["answer_mode_count"]), r["answer_mode_family"]) for r in reference).items()}) rows = generator(domain)(domain, target, blocked, seed, "level3_development_pool", difficulty, multiplier=1, **extra) checks = verify_rows(domain, rows, reference, target, blocked) if domain == "pantry": checks["exact_family_histogram"] = Counter((int(r["answer_mode_count"]), r["answer_mode_family"]) for r in rows) == extra["joint_target"] if not checks["exact_family_histogram"]: raise RuntimeError("Pantry family histogram drift") directory.mkdir(parents=True, exist_ok=True) with rows_path.open("x") as handle: for row in rows: handle.write(json.dumps(row, sort_keys=True) + "\n") record = { "schema": "modebench_level3_development_pool_v1", "domain": domain, "difficulty": difficulty, "seed": seed, "rows": len(rows), "rows_sha256": row_hash(rows), "checks": checks, "support_histogram": dict(sorted(target.items())), "source_sha256": hashlib.sha256(Path(sys.modules[generator(domain).__module__].__file__).read_bytes()).hexdigest(), "information_boundary": "development candidates only; no confirmation model outcomes used", } write_json(manifest_path, record) return record def main(): parser = argparse.ArgumentParser(description=__doc__) parser.add_argument("--domain", required=True, choices=DOMAINS) parser.add_argument("--difficulty", required=True, type=int, choices=range(4)) parser.add_argument("--output-root", type=Path, default=DEFAULT_OUTPUT) parser.add_argument("--multiplier", type=int, default=1) args = parser.parse_args() if args.multiplier < 1: parser.error("multiplier must be positive") print(json.dumps(build_development_pool(args.domain, args.difficulty, args.output_root, args.multiplier), sort_keys=True)) if __name__ == "__main__": main()