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+ {"schema": 2, "epoch": 88180, "nonce": "d78f0971812eb0b3", "hotkey": "5CDRYdHggymECVATzv8rRM2PK7H2kq1vnC6rgajpKmNTzoTs", "source_hash": "99c181689478bebe33c6b8f8fd28184cc79a2cc3d5cc1ef3e2c799f442f28e0d", "weights_hash": "928ebf362cb5ad6d2b22321c1cb8ca540d676bacc1fcf6a150f6f3d86132e185", "model_id": "injected", "total_cost_usd": 0.0007656, "n_calls": 6, "call_log_hash": "c061fe0c401609893ea59e79bb988a67fdb907e50ad0202d36edb8e28d454703", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 17.804, "tokens_in": 1134, "tokens_out": 1087, "results": [{"benchmark": "mmlu", "task_id": "mmlu-2052", "answer": "C", "cost_usd": 8.6e-06, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "mmlu", "task_id": "mmlu-10378", "answer": "C", "cost_usd": 2.5000000000000005e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-72", "answer": "Brownies: \\(43 \\times 3 = 129\\) dollars. \nCheesecakes: \\(23 \\times 4 = 92\\) dollars. \nTotal: \\(129 + 92 = 221\\) dollars.\n\n221", "cost_usd": 7.38e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-759", "answer": "Each playlist lasts:\n\n300 songs \u00d7 10 hours = 3,000 hours\n\nFor 20 playlists:\n\n3,000 \u00d7 20 = 60,000 hours\n\n60000", "cost_usd": 6.01e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-abc389_b", "answer": "import sys\n\nx = int(sys.stdin.buffer.read())\nfactorial = 1\nn = 1\n\nwhile factorial < x:\n n += 1\n factorial *= n\n\nsys.stdout.write(str(n))", "cost_usd": 0.0001229, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-abc392_d", "answer": "import sys\n\ndata = list(map(int, sys.stdin.buffer.read().split()))\nn = data[0]\nidx = 1\n\ndice = []\nsizes = []\n\nfor _ in range(n):\n k = data[idx]\n idx += 1\n counts = {}\n for _ in range(k):\n value = data[idx]\n idx += 1\n counts[value] = counts.get(value, 0) + 1\n dice.append(counts)\n sizes.append(k)\n\nanswer = 0.0\n\nfor i in range(n):\n for j in range(i + 1, n):\n if len(dice[i]) <= len(dice[j]):\n small, large = dice[i], dice[j]\n else:\n small, large = dice[j], dice[i]\n\n common = 0\n for value, count in small.items():\n common += count * large.get(value, 0)\n\n probability = common / (sizes[i] * sizes[j])\n if probability > answer:\n answer = probability\n\nprint(f\"{answer:.15f}\")", "cost_usd": 0.00047519999999999995, "chosen_rung": -1, "rungs_used": [], "distribution": []}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "11a11251afc628eaab783339cb102df44dd0af2d1da73994b961cc377902be79", "platform_sig": 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