{"schema": 2, "epoch": 87556, "nonce": "af22ce50133ebd94", "hotkey": "5CaXH581GtSjxFaFaJzSN35CyKzvFMQhRAxrNy6qmoztNiPz", "source_hash": "24837b9ae6895829747c5eb448673693fedbeb2e3e62a5ca170051a512053fc0", "weights_hash": "19aafcfeb694bb06e7fbbedbfd7fce6c50bd3389a57eeefd1b5d2e5475afdd62", "model_id": "router", "total_cost_usd": 0.0006484000000000001, "n_calls": 6, "call_log_hash": "044e26bb4940c5ca1ed0f75b3c6ebb28d508cfa00834a2d42f7627fddc06dc2e", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 15.312, "tokens_in": 1018, "tokens_out": 911, "results": [{"benchmark": "mmlu", "task_id": "mmlu-6511", "answer": "C", "cost_usd": 1.3700000000000001e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.000854, 3.1e-05, 2.7e-05, 4e-05, 0.998937, 8.8e-05, 2.4e-05]}, {"benchmark": "mmlu", "task_id": "mmlu-3822", "answer": "D", "cost_usd": 1.0400000000000002e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.140574, 0.000464, 0.000423, 0.000551, 0.85651, 0.001119, 0.00036]}, {"benchmark": "math", "task_id": "gsm8k-1184", "answer": "850 \u00f7 50 = 17 bags  \n17 \u00d7 $18 = $306  \n\n306", "cost_usd": 4.660000000000001e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.011076, 0.000102, 9.2e-05, 0.000128, 0.988252, 0.000268, 8.2e-05]}, {"benchmark": "math", "task_id": "gsm8k-663", "answer": "Total delivered to A and C: 198 + 209 = 407.\n\nNewspapers delivered to B: 600 \u2212 407 = 193.\n\n193", "cost_usd": 5.35e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.496179, 0.000297, 0.00023, 0.00034, 0.502027, 0.000717, 0.000209]}, {"benchmark": "code", "task_id": "lcb-abc400_a", "answer": "a = int(input())\nprint(400 // a if 400 % a == 0 else -1)\n", "cost_usd": 3.68e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.020743, 3.7e-05, 2.8e-05, 4.8e-05, 0.979017, 0.000103, 2.5e-05]}, {"benchmark": "code", "task_id": "lcb-abc392_d", "answer": "import sys\n\ndata = list(map(int, sys.stdin.buffer.read().split()))\nit = iter(data)\n\nn = next(it)\ndice = []\n\nfor _ in range(n):\n    k = next(it)\n    counts = {}\n    for _ in range(k):\n        x = next(it)\n        counts[x] = counts.get(x, 0) + 1\n    dice.append((k, counts))\n\nanswer = 0.0\n\nfor i in range(n):\n    k1, c1 = dice[i]\n    for j in range(i + 1, n):\n        k2, c2 = dice[j]\n        if len(c1) > len(c2):\n            c1, c2 = c2, c1\n        common = sum(count * c2.get(value, 0) for value, count in c1.items())\n        probability = common / (k1 * k2)\n        if probability > answer:\n            answer = probability\n\nprint(\"{:.15f}\".format(answer))", "cost_usd": 0.00048740000000000014, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.004944, 2.8e-05, 2.4e-05, 3.7e-05, 0.994864, 8.2e-05, 2.1e-05]}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "6bed6cba369b72fd9f7f37bd94e8203fd192ea0d236ffb4c483195b246cb71c1", "platform_sig": 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