| {"schema": 2, "epoch": 87833, "nonce": "b8c7adf52209a440", "hotkey": "5CaXH581GtSjxFaFaJzSN35CyKzvFMQhRAxrNy6qmoztNiPz", "source_hash": "24837b9ae6895829747c5eb448673693fedbeb2e3e62a5ca170051a512053fc0", "weights_hash": "326160e1d94b4bbe75f479602636fc327592fd054163b65baf22ac2292c9ef5f", "model_id": "router", "total_cost_usd": 0.00041993504, "n_calls": 6, "call_log_hash": "a0d3657ad52a399db6a3fb29cfe72bd23ef7b66d18850e576112344d748dbdfe", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 37.366, "tokens_in": 1020, "tokens_out": 1202, "results": [{"benchmark": "mmlu", "task_id": "mmlu-7773", "answer": "D", "cost_usd": 7.7e-06, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0]}, {"benchmark": "mmlu", "task_id": "mmlu-4007", "answer": "D", "cost_usd": 9.5e-06, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0]}, {"benchmark": "math", "task_id": "gsm8k-722", "answer": "1. Cost of asphalt: \\(3 \\times \\$25 = \\$75\\)\n2. Total cost to fix it: \\(\\$75 + \\$120 = \\$195\\)\n3. Savings: \\(\\$450 - \\$195 = \\$255\\)\n\n\\[\n255\n\\]", "cost_usd": 9.01e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0]}, {"benchmark": "math", "task_id": "gsm8k-372", "answer": "Tuesday: 1 hour \nThursday: 2 hours \nSaturday: \\(2 \\times 1 = 2\\) hours \n\nTotal: \\(1 + 2 + 2 = 5\\)\n\n5", "cost_usd": 6.940000000000002e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0]}, {"benchmark": "code", "task_id": "lcb-abc388_a", "answer": "s = input().strip()\nprint(s[0] + \"UPC\")", "cost_usd": 3.3299999999999996e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.0, 0.0, 0.0, 0.0, 0.999999, 0.0, 0.0]}, {"benchmark": "code", "task_id": "lcb-abc392_d", "answer": "```python\nimport sys\nfrom collections import Counter\n\ndef solve() -> None:\n data = sys.stdin.read().split()\n it = iter(data)\n N = int(next(it))\n dice = [] # list of (K, Counter)\n for _ in range(N):\n K = int(next(it))\n faces = [int(next(it)) for _ in range(K)]\n dice.append((K, Counter(faces)))\n max_prob = 0.0\n for i in range(N):\n Ki, cnt_i = dice[i]\n for j in range(i+1, N):\n Kj, cnt_j = dice[j]\n # iterate over the smaller counter\n if len(cnt_i) <= len(cnt_j):\n small, large = cnt_i, cnt_j\n else:\n small, large = cnt_j, cnt_i\n common_sum = 0\n for x, c in small.items():\n if x in large:\n common_sum += c * large[x]\n prob = common_sum / (Ki * Kj)\n if prob > max_prob:\n max_prob = prob\n # output with sufficient precision\n print(\"{:.15f}\".format(max_prob))\n\nif __name__ == \"__main__\":\n solve()\n```", "cost_usd": 0.00020993504000000002, "chosen_rung": 1, "rungs_used": [1], "distribution": [0.0, 0.999998, 0.0, 0.0, 1e-06, 0.0, 1e-06]}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "4568273a939041bb0d38062d4b6b71cf3bf79dcc0909c221661c7f8517f0c395", "platform_sig": 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