#!/usr/bin/env python3 """Generate sharded lane specs for a calibration sweep. A 27-condition sweep (samples x sequence length x damping) does not fit in one Kaggle session, and a single spec cannot be resumed per shard. This writes N specs, each with its own lane name, so a shard that finishes stays finished. Usage: python scripts/make_sweep_spec.py \ --base lanes/clean-suite-08b.json \ --out-dir lanes \ --name robustness-08b \ --corpus data/calibration_mixed_en_ja_dedup.txt \ --samples 16 32 64 \ --seq 128 256 512 \ --damping 1e-4 1e-3 1e-2 \ --shards 3 """ from __future__ import annotations import argparse import copy import json from pathlib import Path def condition_name(samples: int, seq: int, damping: float) -> str: text = f"{damping:.0e}".replace("e-0", "e-").replace("e+0", "e") return f"s{samples}_q{seq}_d{text}" def build_conditions(samples: list[int], seqs: list[int], dampings: list[float], corpus: str) -> list[dict]: conditions = [] for sample_count in samples: for seq in seqs: for damping in dampings: conditions.append( { "name": condition_name(sample_count, seq, damping), "calibration_corpus": corpus, "samples": sample_count, "max_tokens": seq, "damping": damping, } ) return conditions def make_specs(base: dict, conditions: list[dict], shards: int, name: str) -> list[dict]: specs = [] for index in range(shards): spec = copy.deepcopy(base) shard_conditions = [condition for position, condition in enumerate(conditions) if position % shards == index] spec["lane"] = f"{name}-shard{index + 1}of{shards}" spec["conditions"] = shard_conditions spec.pop("merge", None) specs.append(spec) return specs def validate(specs: list[dict], conditions: list[dict]) -> list[str]: problems = [] seen: list[str] = [] for spec in specs: for condition in spec["conditions"]: if condition["name"] in seen: problems.append(f"duplicate condition: {condition['name']}") seen.append(condition["name"]) missing = {condition["name"] for condition in conditions} - set(seen) if missing: problems.append(f"missing conditions: {sorted(missing)[:5]}") return problems def main() -> None: parser = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) parser.add_argument("--base", type=Path, default=Path("lanes/clean-suite-08b.json")) parser.add_argument("--out-dir", type=Path, default=Path("lanes")) parser.add_argument("--name", default="robustness-08b") parser.add_argument("--corpus", default="data/calibration_mixed_en_ja_dedup.txt") parser.add_argument("--samples", type=int, nargs="+", default=[16, 32, 64]) parser.add_argument("--seq", type=int, nargs="+", default=[128, 256, 512]) parser.add_argument("--damping", type=float, nargs="+", default=[1e-4, 1e-3, 1e-2]) parser.add_argument("--shards", type=int, default=3) parser.add_argument("--dry-run", action="store_true") args = parser.parse_args() base = json.loads(args.base.read_text(encoding="utf-8")) conditions = build_conditions(args.samples, args.seq, args.damping, args.corpus) specs = make_specs(base, conditions, args.shards, args.name) # per-spec eval max_tokens must follow that spec's conditions for spec in specs: seqs = {condition["max_tokens"] for condition in spec["conditions"]} if len(seqs) == 1: spec["eval"]["max_tokens"] = seqs.pop() problems = validate(specs, conditions) total = sum(len(spec["conditions"]) for spec in specs) print(f"conditions: {total} in {len(specs)} shards ({[len(s['conditions']) for s in specs]})") if problems: print("PROBLEMS") for problem in problems: print(f" - {problem}") raise SystemExit(1) args.out_dir.mkdir(parents=True, exist_ok=True) for spec in specs: path = args.out_dir / f"{spec['lane']}.json" print(f" {path} ({len(spec['conditions'])} conditions)") if not args.dry_run: path.write_text(json.dumps(spec, indent=2, ensure_ascii=False) + "\n", encoding="utf-8") if __name__ == "__main__": main()