from collections import Counter from concurrent.futures import ProcessPoolExecutor from dataclasses import dataclass from itertools import repeat import json import multiprocessing from pathlib import Path import random import shutil from omegaconf import OmegaConf from rich import print from tqdm import tqdm from functional_rl import v2 from hinted_rl.teacher_programs import canonical from refined_v4.data import load_rows,write_rows,signature,atomic_json from . import ROOT,TASKS from .data import documents from .focused_data import augment @dataclass class Config: source: str=str(ROOT/'variants/clear-reference-v1') root: str=str(ROOT/'variants/natural-names-pilot-v1') tasks: tuple[str,...]=('mbpp','humaneval_docstring') variants: int=4 seed: int=6719 workers: int=4 def styles_for(row: dict,limit: int,seed: int): fingerprint=canonical(row['reference']) styles=augment(row,limit,random.Random(f'{seed}/{row["source_id"]}')) kept=[];counts=Counter() for index,style in enumerate(styles): if index and canonical(style['reference'])!=fingerprint: counts['noncanonical_alias_skipped']+=1;continue if index and len(v2.ENC.encode_ordinary(v2.render(style)))>900: counts['long_variant_skipped']+=1;continue kept.append(style) return kept,counts def build(config: Config): source,root=Path(config.source),Path(config.root) if (root/'dataset.json').exists():raise ValueError('Identifier-variant data already frozen') report=json.loads((source/'dataset.json').read_text()) report.update(revision='natural-identifier-variants-v1',source=str(source),augmented_tasks=list(config.tasks), identifier_policy='Existing local-variable bindings receive reversible natural names. No extra statements, argument/signature changes or artificial endings. Keep each original and at most three variants; sample source group uniformly before its style. All RL/calibration/development/test bytes stay identical.', seed=config.seed) for task in TASKS: shutil.copytree(source/'data'/task,root/'data'/task,dirs_exist_ok=True) if task not in config.tasks: shutil.copytree(source/'sft'/task,root/'sft'/task,dirs_exist_ok=True) continue original=load_rows(source,task,'sft');rows=[];counts=Counter() with ProcessPoolExecutor(max_workers=config.workers,mp_context=multiprocessing.get_context('spawn')) as pool: jobs=pool.map(styles_for,original,repeat(config.variants),repeat(config.seed),chunksize=16) for styles,filtered in tqdm(jobs,total=len(original),desc=task+' natural local names',colour='cyan',mininterval=5): rows.extend(styles);counts.update(filtered) assert {r['group'] for r in rows}=={r['group'] for r in original} write_rows(root/'data'/task/'sft.jsonl.gz',rows) corpus=documents(rows,report['sft_tokens'],random.Random(config.seed),balance_groups=True) target=root/'sft'/task/'train.jsonl.gz';write_rows(target,corpus) item=report['tasks'][task] item.update(rows=dict(item['rows'],sft=len(rows)),documents=len(corpus),source_groups=len({r['group'] for r in rows}), identifier_variants=len(rows)-len(original),identifier_filtering=dict(counts), document_example_counts=dict(Counter(len(d['examples']) for d in corpus)),sft_sha256=signature(target), unique_sft_programs_used=len({e['source_id'] for d in corpus for e in d['examples']})) item.setdefault('hint_coverage',{})['sft']={str(n):sum(n in r['hint_levels'] for r in rows) for n in range(1,17)} item['assets']['data/'+task+'/sft.jsonl.gz']=signature(root/'data'/task/'sft.jsonl.gz') for split in ('rl','calibration','dev','test'): assert signature(root/'data'/task/(split+'.jsonl.gz'))==signature(source/'data'/task/(split+'.jsonl.gz')) atomic_json(root/'build-progress.json',report) atomic_json(root/'dataset.json',report) print('[green]Natural-name SFT variants ready; all RL and held-out data unchanged[/green]',flush=True) if __name__=='__main__': build(OmegaConf.to_object(OmegaConf.merge(OmegaConf.structured(Config),OmegaConf.from_cli())))