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1"""The project's referee, on the official ARC-AGI-3 toolkit. ARC-AGI-3 is played alone: the season's field is a set of
2its public games, each a subtask. check: the route's agent plays each game up to the action limit through the toolkit,
3served locally; the score is ARC's own RHAE: for each level cleared, (human baseline actions / actions taken)²,
4capped at 1.15, weighted by the level's number, as a percentage of the game; the mean over the games is the score.
5practice: the first two games, a replay of each in replays/.
6 python3 referee/play.py check|practice <route folder>
7"""
8import glob, gzip, json, os, socket, subprocess, sys, tempfile, time
9
10ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
11sys.path.insert(0, os.path.join(ROOT, 'kit'))
12import league # noqa: E402
13
14ENVS = os.path.join(ROOT, 'referee', 'environment_files')
15MOST = 400
16
17
18def games():
19 with open(os.path.join(ROOT, 'referee', 'games.txt')) as f:
20 return [l.strip() for l in f if l.strip() and not l.startswith('#')]
21
22
23def meta(game):
24 return json.load(open(glob.glob(os.path.join(ENVS, game, '*', 'metadata.json'))[0]))
25
26
27def rhae(steps, baseline):
28 """Per level cleared, (baseline / actions)^2 capped at 1.15, weighted by level number, as a % of the game."""
29 total, done, since = 0.0, 0, 0
30 for s in steps:
31 since += 1
32 if s['levels_completed'] > done:
33 level = s['levels_completed']
34 b = baseline[level - 1] if level - 1 < len(baseline) else baseline[-1]
35 total += level * min(1.15, (b / since) ** 2)
36 done, since = level, 0
37 return 100 * total / sum(range(1, len(baseline) + 1))
38
39
40def replay(game, steps):
41 m = meta(game)
42 frame = lambda s: ''.join('%x' % (v & 15) for row in s['frame'][-1] for v in row) if s['frame'] else ''
43 return {'game': 'arc-agi-3', 'id': m['game_id'], 'title': m.get('title', game), 'fps': m.get('default_fps', 10), 'levels': len(m['baseline_actions']),
44 'steps': [{'a': (s.get('action_input') or {}).get('id', 0), 'd': (s.get('action_input') or {}).get('data') or {}, 's': s['state'], 'l': s['levels_completed'], 'f': frame(s)} for s in steps]}
45
46
47def main(mode, route):
48 bot = os.path.join(league.bot_dir(route), 'agent.py')
49 if not os.path.isfile(bot):
50 sys.exit(f'No bot in {route}: add agent.py with a class Agent (choose_action(frames, latest_frame)), as ARC-AGI-3-Agents writes them')
51 name = league.route_name()
52 reps = league.Replays() if mode == 'practice' else None
53 clean = tempfile.mkdtemp() # the toolkit reads .env from where it runs; nothing of the route's goes there
54 recs = os.path.join(clean, 'recordings')
55 with socket.socket() as s:
56 s.bind(('127.0.0.1', 0))
57 port = s.getsockname()[1]
58 env = {k: v for k, v in os.environ.items() if not k.startswith(('ARC_', 'OPERATION_MODE', 'SS_', 'SLURM_'))}
59 server = subprocess.Popen([sys.executable, '-s', os.path.join(ROOT, 'referee', 'serve.py'), ENVS, recs, str(port)], cwd=clean, env=env, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
60 try:
61 for _ in range(100):
62 try:
63 socket.create_connection(('127.0.0.1', port), 0.2).close()
64 break
65 except OSError:
66 time.sleep(0.1)
67 subtasks = {}
68 for game in games() if mode == 'check' else games()[:2]:
69 before = set(glob.glob(os.path.join(recs, '**', '*.jsonl*'), recursive=True))
70 try:
71 subprocess.run([sys.executable, '-s', os.path.join(ROOT, 'referee', 'agent_child.py'), bot, f'http://127.0.0.1:{port}', game, str(MOST)],
72 cwd=clean, env={**env, 'PYTHONHASHSEED': '0'}, timeout=MOST * 2 + 30, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
73 except subprocess.TimeoutExpired:
74 pass
75 time.sleep(0.3)
76 new = sorted(set(glob.glob(os.path.join(recs, '**', f'{game}-*.jsonl*'), recursive=True)) - before, key=os.path.getmtime)
77 steps = []
78 for path in new:
79 with (gzip.open if path.endswith('.gz') else open)(path, 'rt') as f:
80 steps += [json.loads(l)['data'] for l in f if l.strip()]
81 subtasks[game] = rhae(steps[1:], meta(game)['baseline_actions']) if steps else 0.0
82 if reps and steps:
83 r = replay(game, steps)
84 reps.add(f'{game}.json', r, f'{r["title"]}: {name}', [name], f'{max(s["levels_completed"] for s in steps)} of {r["levels"]} levels in {len(steps) - 1} actions, {subtasks[game]:.1f} RHAE')
85 league.write_metrics(sum(subtasks.values()) / len(subtasks), subtasks)
86 finally:
87 server.kill()
88
89
90if __name__ == '__main__':
91 main(sys.argv[1], sys.argv[2])