| {"schema": 2, "epoch": 87709, "nonce": "ada3f30c789b5c3a", "hotkey": "5GuVFWnG62s4r1AGAfrhhHBMnsMPMXKNxrmBpeJdFGyCQEaX", "source_hash": "24837b9ae6895829747c5eb448673693fedbeb2e3e62a5ca170051a512053fc0", "weights_hash": "5f15eca0fad82272932867103208e68aff1869ae29090d5296d01e247cbbe561", "model_id": "router", "total_cost_usd": 0.0009584, "n_calls": 6, "call_log_hash": "703cc0553bc88bf50175f9fda4f318e0ec4a82ba504c0631ccc13296338cd0a6", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 24.956, "tokens_in": 1472, "tokens_out": 1352, "results": [{"benchmark": "mmlu", "task_id": "mmlu-8142", "answer": "D", "cost_usd": 7.6e-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-8163", "answer": "C", "cost_usd": 3.94e-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-696", "answer": "1. Adam: 50 points \n2. Betty: \\(50 \\times 1.30 = 65\\) points \n3. Tom: \\(65 - 30 = 35\\) points \n4. Marta: \\(35 \\times 3 = 105\\) points \n5. Total: \\(50 + 65 + 35 + 105 = 255\\) points \n6. Missing: \\(400 - 255 = 145\\)\n\n145", "cost_usd": 0.0001313, "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-747", "answer": "Old daily cost: \\(500 \\times \\$0.50 = \\$250\\)\n\nNew daily cost: \\(500 \\times \\$0.40 = \\$200\\)\n\nDaily savings: \\(\\$250 - \\$200 = \\$50\\)\n\nWeekly savings: \\(7 \\times \\$50 = \\$350\\)\n\n350", "cost_usd": 8.27e-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-abc395_b", "answer": "N = int(input())\n\nfor i in range(1, N + 1):\n row = []\n for j in range(1, N + 1):\n layer = min(i, j, N + 1 - i, N + 1 - j)\n row.append(\"#\" if layer % 2 == 1 else \".\")\n print(\"\".join(row))", "cost_usd": 0.00020639999999999998, "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": "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, d1 = dice[i]\n for j in range(i + 1, n):\n k2, d2 = dice[j]\n if len(d1) > len(d2):\n d1, d2 = d2, d1\n common = 0\n for value, count in d1.items():\n common += count * d2.get(value, 0)\n probability = common / (k1 * k2)\n if probability > answer:\n answer = probability\n\nprint(\"{:.15f}\".format(answer))", "cost_usd": 0.000491, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0]}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "4e46b60b97179e8b3ab7ebb9ac874f5482575fce8a80056b20047742093f0aec", "platform_sig": 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