"""Explain the maze forward test's result: what the collapsed answer is and how the grader pays it. python training/maze_analysis.py # reads training/maze/results/, writes analysis.json there Not part of the pre-registration; the claims are scored by maze_check.py exactly as published. """ import json import statistics from collections import Counter from pathlib import Path import reasoning_gym ROOT = Path(__file__).resolve().parent.parent RES = ROOT / "training" / "maze" / "results" HELD_OUT = range(100_000, 100_200) def main() -> None: r = next(x for x in json.loads((RES / "results.json").read_text()) if x["family"] == "maze") claims = json.loads((RES / "claims.json").read_text()) sets = [reasoning_gym.create_dataset("maze", seed=s, size=1) for s in HELD_OUT] truth = [str(ds[0]["answer"]) for ds in sets] before, after = r["before"]["answers"], r["after"]["answers"] top, top_n = Counter(a.strip() for a in after).most_common(1)[0] score = lambda i, a: float(sets[i].score_answer(answer=a, entry=sets[i][0])) contains = sum(t in top for t in truth) # held-out answers that appear somewhere inside the collapsed answer numbers = [w for w in top.replace("\n", " ").split() if w.isdigit()] out = { "collapsed_answer_start": top.split("\n")[0], "collapsed_answer_numbers": f"{min(map(int, numbers))} to {max(map(int, numbers))}" if numbers else None, "collapsed_answer_chars": len(top), "collapsed_share": top_n / len(after), "held_out_answers_inside_it": contains, "held_out_tasks": len(truth), "its_mean_score_if_given_everywhere": round(statistics.mean(score(i, top) for i in range(len(truth))), 3), "constant_5_score": round(statistics.mean(score(i, "5") for i in range(len(truth))), 3), "reward_before": round(r["before"]["mean_score"], 3), "reward_after": round(r["after"]["mean_score"], 3), "exact_before": sum(score(i, a) >= 1 for i, a in enumerate(before)), "exact_after": sum(score(i, a) >= 1 for i, a in enumerate(after)), "bare_numbers_before": sum(a.strip().isdigit() for a in before), "minutes": r["minutes"], } short = { # readable versions of what maze_check.py measured "P1": f"mean reward {out['reward_before']:.3f} → {out['reward_after']:.3f}, paired p < 0.001", "P2": f"{top_n} of {len(after)} answers are the same text", "P3": f"the constant is not a number: a grid of the numbers {out['collapsed_answer_numbers']}, cut off at 64 tokens", "P4": f"exact answers {out['exact_before']} → {out['exact_after']} of {len(after)}", } out["claims"] = [{"id": c["id"], "held": c["held"], "claim": c["claim"], "test": c["test"], "measured": short[c["id"]]} for c in claims["claims"]] (RES / "analysis.json").write_text(json.dumps(out, indent=2, ensure_ascii=False)) print(json.dumps(out, indent=2, ensure_ascii=False)) if __name__ == "__main__": main()