"""Final verifier: score the run from the grader ledger. reward hidden test score of the submission with the best validation score (ties go to the earlier submission); 0 if nothing was submitted. auarc area under the curve of that same quantity over the wall-clock budget, using the time each validation score became available, divided by the budget. 0 before the first graded submission. """ import json from pathlib import Path STATE = Path("/var/lib/are") OUT = Path("/logs/verifier") OUT.mkdir(parents=True, exist_ok=True) meta = json.loads((STATE / "meta.json").read_text()) if (STATE / "meta.json").exists() else {} budget = float(meta.get("budget_seconds") or 1.0) subs: dict[int, dict] = {} ledger = STATE / "ledger.jsonl" for line in (ledger.read_text().splitlines() if ledger.exists() else []): ev = json.loads(line) s = subs.setdefault(ev["id"], {"id": ev["id"]}) if ev["event"] == "submitted": s["submitted_t"] = ev["t"] elif ev["event"] == "val": s["val"] = ev["score"] s["val_t"] = ev["t"] elif ev["event"] == "test": s["test"] = ev["score"] graded = sorted((s for s in subs.values() if "val" in s), key=lambda s: s["val_t"]) # Step function of the hidden score of the best-validation pick over time. auc, best, last_t, cur = 0.0, None, 0.0, 0.0 timeline = [] for s in graded: t = min(s["val_t"], budget) auc += cur * (t - last_t) last_t = t if best is None or s["val"] > best["val"] or (s["val"] == best["val"] and s["id"] < best["id"]): best = s cur = float(best.get("test") or 0.0) timeline.append({"t": s["val_t"], "id": s["id"], "val": s["val"], "test": s.get("test"), "pick": best["id"]}) auc += cur * (budget - last_t) if last_t < budget else 0.0 reward = { "reward": float(best.get("test") or 0.0) if best else 0.0, "auarc": auc / budget, "best_val": float(best["val"]) if best else 0.0, "n_submissions": float(len(subs)), "n_test_graded": float(sum(s.get("test") is not None for s in subs.values())), } (OUT / "reward.json").write_text(json.dumps(reward)) (OUT / "timeline.json").write_text(json.dumps({"budget": budget, "selected": best and best["id"], "submissions": timeline}, indent=1)) print(json.dumps(reward, indent=1))