| """Rebuild BugsInPy v3 tasks.parquet from pinned v1/v2 payloads and metadata/selection.json. |
| |
| pip install pyarrow huggingface_hub |
| python patch.py --out rebuilt |
| Optional --source-dir holds v1.parquet and v2.parquet for offline reproduction. |
| """ |
| import argparse,hashlib,json |
| from pathlib import Path |
| import pyarrow as pa |
| import pyarrow.parquet as pq |
|
|
| def build(out, source_dir=None): |
| root=Path(__file__).parent |
| m=json.loads((root/'metadata/selection.json').read_text()) |
| def source(version,revision): |
| if source_dir:return source_dir/f'{version}.parquet' |
| from huggingface_hub import hf_hub_download |
| return Path(hf_hub_download(m['repo_id'],f'bugsinpy_{version}/tasks.parquet',repo_type='dataset',revision=revision,cache_dir=out/'.source-cache')) |
| out.mkdir(parents=True,exist_ok=True) |
| target=out/'tasks.parquet' |
| if target.exists():raise ValueError(f'{target} already exists') |
| v1=source('v1',m['evaluation_source_revision']);v2=source('v2',m['v2_revision']) |
| with v1.open('rb') as f:assert hashlib.file_digest(f,'sha256').hexdigest()==m['evaluation_source_sha256'] |
| old=pq.ParquetFile(v2);oldrows={r['path']:r for b in old.iter_batches(batch_size=1) for r in b.to_pylist()} |
| pf=pq.ParquetFile(v1);kept={t for t,e in m['tasks'].items() if e['kept']} |
| schema=pa.schema([*old.schema_arrow,pa.field('qwen38_successes',pa.int64()),pa.field('qwen38_attempts',pa.int64()),pa.field('kept_from_v2',pa.bool_())]) |
| md=dict(old.schema_arrow.metadata or {});im=json.loads(pf.schema_arrow.metadata[b'ot.images.v1']) |
| im['tasks']={t:e for t,e in im['tasks'].items() if t in kept};used={e['bundle'] for v in im['tasks'].values() for e in v['environments']};im['bundles']={k:v for k,v in im['bundles'].items() if k in used};im['missing']=[x for x in im.get('missing',[]) if x.get('task') in kept] |
| md[b'ot.images.v1']=json.dumps(im).encode();md[b'ot.release.v3']=json.dumps({k:v for k,v in m.items() if k!='tasks'}).encode();schema=schema.with_metadata(md) |
| count=0 |
| with pq.ParquetWriter(target,schema,compression='zstd') as writer: |
| for b in pf.iter_batches(batch_size=1): |
| row=b.to_pylist()[0];t=row['path'] |
| if t not in kept:continue |
| e=m['tasks'][t] |
| if t in oldrows:row=oldrows[t] |
| else: |
| assert row['content_sha256']==e['models']['qwen3.8-27b']['evaluated_content_sha256'] |
| row.update(instruct_successes=e['models']['qwen3-30b-instruct-2507']['solved_attempts'],thinking_successes=e['models']['qwen3-30b-thinking']['solved_attempts'],attempts_per_model=16) |
| row.update(qwen38_successes=e['qwen38_successes'],qwen38_attempts=e['qwen38_attempts'],kept_from_v2=e['kept_v2']) |
| writer.write_table(pa.Table.from_pylist([row],schema=schema));count+=1 |
| assert count==m['kept']==471 and set(oldrows)<=kept |
| print(f'Wrote {count} tasks to {target}') |
|
|
| if __name__=='__main__': |
| p=argparse.ArgumentParser(description=__doc__);p.add_argument('--out',type=Path,required=True);p.add_argument('--source-dir',type=Path);a=p.parse_args();build(a.out,a.source_dir) |
|
|
