| """Reproduce ScreenProof eval-2026-11-10 from released per-record counts. |
| Requires numpy. Run: python robustness.py --data-dir . --output robustness/recomputed.json |
| Counts use frozen predictions and the existing IoU >= 0.5 scorer; this is a |
| post-hoc statistical reanalysis, not new labels, new training, or a new test. |
| """ |
| import argparse,json |
| from pathlib import Path |
| import numpy as np |
|
|
| def f1(v): |
| return np.divide(2*v[...,0],v[...,1]+v[...,2],out=np.zeros_like(v[...,0],dtype=float),where=(v[...,1]+v[...,2])>0) |
|
|
| def main(): |
| ap=argparse.ArgumentParser();ap.add_argument('--data-dir',type=Path,default=Path('.'));ap.add_argument('--output',type=Path,default=Path('recomputed.json'));a=ap.parse_args() |
| root=a.data_dir/'robustness';meta=json.loads((root/'protocol.json').read_text());rows=[json.loads(x) for x in (root/'records.jsonl').read_text().splitlines()] |
| out={} |
| for pool,flags in meta['pool_exclusions'].items(): |
| selected=[r for r in rows if not any(r[f] for f in flags)] |
| arrays={m:np.array([r['counts'][m] for r in selected],dtype=float) for m in meta['models']} |
| result={'pages':len(selected),'models':{m:{'f1':float(f1(v.sum(0)[:3])),'clean_flag_rate':float(v[:,3].sum()/v[:,4].sum()),'errors':int(v[:,5].sum())} for m,v in arrays.items()}} |
| for level in (['base_cluster','requirement_cluster'] if pool=='published' else ['base_cluster']): |
| groups=sorted({r[level] for r in selected});lookup={g:i for i,g in enumerate(groups)};ids=[lookup[r[level]] for r in selected];k=len(groups) |
| w=np.random.default_rng(meta['seed']).multinomial(k,np.full(k,1/k),size=meta['resamples']) |
| boot={} |
| for m,v in arrays.items(): |
| agg=np.zeros((k,3));np.add.at(agg,ids,v[:,:3]);boot[m]=f1(w@agg) |
| result[level]={'clusters':k,'vs':{m:np.quantile(boot[meta['ours']]-b,[.025,.975]).tolist() for m,b in boot.items() if m!=meta['ours']}} |
| out[pool]=result |
| a.output.parent.mkdir(parents=True,exist_ok=True);a.output.write_text(json.dumps(out,indent=2)+'\n') |
| print(json.dumps(out['published'],indent=2)) |
| if __name__=='__main__':main() |
|
|
