| """Exact mask replay and post hoc lambda/geometry sensitivity, no new fitting.""" |
| from pathlib import Path |
| import argparse,json,collections,os,time |
| import numpy as np |
| from PIL import Image |
| import phase1_repair as p |
| ROOT=Path(__file__).resolve().parents[1];from project_paths import legacy_root;OLD=legacy_root(ROOT) |
| def sweep(q,maps,threshold,base): |
| targets=p.components(maps[q.target],threshold);anchors=p.components(maps[q.anchor],threshold) |
| if not targets or not anchors:return {(l,g):base for l in [0,.25,.5,1] for g in [0,.015,.03,.06]} |
| ac=anchors[0];am=ac['confidence']-(anchors[1]['confidence'] if len(anchors)>1 else 0) |
| if am<.05:return {(l,g):base for l in [0,.25,.5,1] for g in [0,.015,.03,.06]} |
| key='x' if q.relation in ('left','right') else 'y';sign=1 if q.relation in ('right','below') else -1 |
| candidates=[(c,sign*(c[key]-ac[key]),float((maps[q.original][c['mask']]-maps[q.opposite][c['mask']]).mean())) for c in targets] |
| outputs={} |
| for l in [0,.25,.5,1]: |
| for g in [0,.015,.03,.06]: |
| allowed=sorted([(c['confidence']+l*r,c,r) for c,d,r in candidates if d>=g],key=lambda z:z[0],reverse=True) |
| if not allowed or allowed[0][2]<-.05:out=base |
| elif not q.plural and allowed[0][0]-(allowed[1][0] if len(allowed)>1 else 0)<.05:out=base |
| else:out=p.union([c for _,c,_ in allowed] if q.plural else [allowed[0][1]],base.shape) |
| outputs[(l,g)]=out |
| return outputs |
| def main(): |
| ap=argparse.ArgumentParser();ap.add_argument('--model',required=True);ap.add_argument('--shard',type=int,default=0);ap.add_argument('--shards',type=int,default=4);a=ap.parse_args() |
| manifest=[json.loads(s) for s in (OLD/'data/manifest.jsonl').read_text().splitlines()] |
| files=sorted((OLD/'results').glob(f'{a.model}_main_*of'+('2' if a.model=='clipseg' else '8')+'.jsonl')) |
| assert len(files)==(2 if a.model=='clipseg' else 8),files |
| raw={r['id']:r for f in files for r in (json.loads(s) for s in f.read_text().splitlines())} |
| selected=[r for r in manifest if p.parse_query(r['query']).anchor] |
| groups=collections.defaultdict(list) |
| for r in selected:groups[raw[r['id']]['cache_path']].append(r) |
| paths=sorted(groups)[a.shard::a.shards];threshold=.5 if a.model=='clipseg' else .25;n=0;t0=time.time() |
| with (ROOT/'results'/f'phase1_audit_{a.model}_{a.shard}of{a.shards}.jsonl').open('w') as out: |
| for ix,cache in enumerate(paths): |
| z=np.load(OLD/cache);maps={q:z[f'p{i}'].astype(np.float32) for i,q in enumerate(z['texts'].tolist())} |
| for r in groups[cache]: |
| preds,flags=p.repaired_maps(r['query'],maps,threshold);q=p.parse_query(r['query']);gt=np.asarray(Image.open(OLD/r['gt_path']))>0 |
| cf=preds['cacp'];ag=preds['anchor_gate'];d=p.score_mask(cf,gt)['iou']-p.score_mask(ag,gt)['iou'] |
| row={k:r[k] for k in ['id','scene_id','domain','split','mode','pair_id','endpoint','seed','corruption']} |
| row.update(model=a.model,query=r['query'],plural=q.plural,cf_vs_anchor_changed=bool((cf!=ag).any()),nogate_cf_changed=bool((preds['anchor_nogate']!=preds['counterfactual_nogate']).any()),delta_iou=d,cf_reason=flags['reason'],cf_iou=p.score_mask(cf,gt)['iou'],anchor_iou=p.score_mask(ag,gt)['iou']) |
| if (r['domain']=='controlled' and r['split']=='test' and r['corruption']=='clean') or (r['domain']=='natural' and r['split'] in ('val','testA','testB')): |
| sw=sweep(q,maps,threshold,preds['frozen']);assert np.array_equal(sw[(.5,.03)],cf) |
| row['sensitivity']={f'{l}/{g}':p.score_mask(m,gt)['iou'] for (l,g),m in sw.items()} |
| out.write(json.dumps(row)+'\n');n+=1 |
| if ix%20==0:print('AUDIT',ix,len(paths),n,round(time.time()-t0,1),flush=True) |
| (ROOT/'results'/f'phase1_audit_{a.model}_{a.shard}of{a.shards}_meta.json').write_text(json.dumps(dict(status='COMPLETE',records=n,anchor_records_total=len(selected),all_phase1_records=len(manifest),no_anchor_identity_proven=True,slurm_job_id=os.getenv('SLURM_JOB_ID'),args=vars(a)),indent=2)) |
| if __name__=='__main__':main() |
|
|
