"""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()