"""Choose G2's thresholds on every labelled cluster so far (SELECTION.md, "A size-invariant gate"). python3 tune_gate2.py # writes gate2-tuning.json and gate2-frozen.json """ import itertools, json, pathlib import gate2 as g # Guard: G2's S1 and old S6 must reproduce the first gate's signals. dev_sig = json.loads(pathlib.Path('signals-dev.json').read_text()) dev_cand = json.loads(pathlib.Path('candidates-dev.json').read_text()) for cid, m in dev_cand.items(): s = g.signals(m) assert abs(s['S1'] - dev_sig[cid]['S1']) < 1e-3 and abs(s['S6_old'] - dev_sig[cid]['S6']) < 1e-3, cid rows = [] for name in ('dev', 'test'): cand = json.loads(pathlib.Path(f'candidates-{name}.json').read_text()) lab = json.loads(pathlib.Path(f'labels-{name}.json').read_text()) for cid, m in cand.items(): rows.append(dict(g.signals(m), id=cid, label=lab[cid]['label'])) rmap = json.loads(pathlib.Path('recover-map.json').read_text()) rlab = json.loads(pathlib.Path('labels-recover.json').read_text()) for rid, e in rmap.items(): rows.append(dict(g.signals(e['members']), id=rid, label=rlab[rid]['label'])) pathlib.Path('gate2-tuning.json').write_text(json.dumps(rows, indent=1)) def deciles(key): v = sorted(r[key] for r in rows) return [None] + [v[int(len(v) * q / 10)] for q in range(1, 10)] grid = itertools.product(deciles('S1'), [None, 1, 2, 3, 4, 5], deciles('MMIN'), [None, 0.25, 0.30, 0.35, 0.40, 0.50, 0.60]) best = None for s1, z1, mmin, w in grid: gate = {'S1': s1, 'Z1': z1, 'MMIN': mmin, 'W': w} acc = [r for r in rows if g.g2_passes(r, gate)] if not acc: continue n1 = sum(r['label'] >= 1 for r in acc) if n1 / len(acc) < 0.85: continue key = (n1, sum(r['label'] == 2 for r in acc), -sum(v is not None for v in gate.values())) if best is None or key > best[0]: best = (key, gate) gate = best[1] pathlib.Path('gate2-frozen.json').write_text(json.dumps(gate, indent=1)) def band(size): return '<=12' if size <= 12 else ('13-25' if size <= 25 else '>=26') def report(label, accept): acc = [r for r in rows if accept(r)] n1 = sum(r['label'] >= 1 for r in acc) n2 = sum(r['label'] == 2 for r in acc) return f'{label:14} accepted {len(acc):3} label>=1 {n1:3} P1+ {n1 / len(acc) if acc else 0:.2f} label2 {n2}' print(f'tuning set: {len(rows)} clusters, {sum(r["label"] >= 1 for r in rows)} labelled >=1, ' f'{sum(r["label"] == 2 for r in rows)} labelled 2') print('CHOSEN G2:', gate) print(report('all', lambda r: True)) print(report('old gate', g.old_passes)) print(report('G2', lambda r: g.g2_passes(r, gate))) print('\nby size band:') for b in ('<=12', '13-25', '>=26'): sub = [r for r in rows if band(r['size']) == b] print(f' {b}: {len(sub)} clusters, {sum(r["label"] >= 1 for r in sub)} labelled >=1') for label, accept in (('old gate', g.old_passes), ('G2', lambda r: g.g2_passes(r, gate))): acc = [r for r in sub if accept(r)] n1 = sum(r['label'] >= 1 for r in acc) print(f' {label:9} accepted {len(acc):3} P1+ {n1 / len(acc) if acc else 0:.2f}') print('\nG2 rejects, labelled >=1, with the failing term:') for r in rows: if r['label'] >= 1 and not g.g2_passes(r, gate): why = [k for k in ('S1', 'Z1', 'MMIN') if gate[k] is not None and r[k] < gate[k]] if gate['W'] is not None and r['W'] >= gate['W']: why.append(f"W({r['W_word']})") print(f" {r['id']} size {r['size']:2} label {r['label']} {' '.join(why) or 'candidate conditions'}")