{"schema": 2, "epoch": 87582, "nonce": "9838d4379fd1a7cb", "hotkey": "5CaXH581GtSjxFaFaJzSN35CyKzvFMQhRAxrNy6qmoztNiPz", "source_hash": "24837b9ae6895829747c5eb448673693fedbeb2e3e62a5ca170051a512053fc0", "weights_hash": "19aafcfeb694bb06e7fbbedbfd7fce6c50bd3389a57eeefd1b5d2e5475afdd62", "model_id": "router", "total_cost_usd": 0.0015519, "n_calls": 6, "call_log_hash": "eda6ed2d2886a689db48536d89d62de8c7510c9c03228a9862e9ffef42f932b5", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 32.096, "tokens_in": 1467, "tokens_out": 2342, "results": [{"benchmark": "mmlu", "task_id": "mmlu-13657", "answer": "C", "cost_usd": 1.19e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.001002, 3.9e-05, 3.5e-05, 5.2e-05, 0.998748, 9.5e-05, 2.9e-05]}, {"benchmark": "mmlu", "task_id": "mmlu-1448", "answer": "C", "cost_usd": 7.28e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.001399, 3.8e-05, 3.8e-05, 4.9e-05, 0.998351, 9.7e-05, 2.9e-05]}, {"benchmark": "math", "task_id": "gsm8k-140", "answer": "Total semi-automatic cars: \\(20 - 12 - 4 = 4\\).\n\nPercentage: \\(\\frac{4}{20} \\times 100 = 20\\%\\).\n\n20", "cost_usd": 6.960000000000001e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.000342, 2e-05, 1.8e-05, 2.8e-05, 0.999522, 5.6e-05, 1.5e-05]}, {"benchmark": "math", "task_id": "gsm8k-129", "answer": "500 patients \u00d7 24 minutes = 12,000 minutes = 200 hours\n\nRevenue: 200 \u00d7 $200 = $40,000  \nDoctor cost: 200 \u00d7 $150 = $30,000  \n\nProfit: $40,000 \u2212 $30,000 =\n\n10000", "cost_usd": 8.750000000000001e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.001632, 3.5e-05, 3e-05, 4.5e-05, 0.998127, 0.000104, 2.7e-05]}, {"benchmark": "code", "task_id": "lcb-abc392_b", "answer": "import sys\n\ndef main():\n    data = list(map(int, sys.stdin.read().split()))\n    n, m = data[0], data[1]\n    present = set(data[2:2 + m])\n    missing = [x for x in range(1, n + 1) if x not in present]\n\n    print(len(missing))\n    print(*missing)\n\nif __name__ == \"__main__\":\n    main()\n", "cost_usd": 9.729999999999998e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.006181, 2.8e-05, 2.3e-05, 3.5e-05, 0.993636, 7.8e-05, 1.9e-05]}, {"benchmark": "code", "task_id": "lcb-abc390_d", "answer": "import sys\n\nsys.setrecursionlimit(1000000)\n\ndata = list(map(int, sys.stdin.buffer.read().split()))\nN = data[0]\nA = data[1:]\n\nblocks = [0] * N\nvalues = []\nappend_value = values.append\n\ndef dfs(i, k, x):\n    if i == N:\n        append_value(x)\n        return\n\n    a = A[i]\n\n    for j in range(k):\n        old = blocks[j]\n        new = old + a\n        blocks[j] = new\n        dfs(i + 1, k, x ^ old ^ new)\n        blocks[j] = old\n\n    blocks[k] = a\n    dfs(i + 1, k + 1, x ^ a)\n\ndfs(0, 0, 0)\n\nvalues.sort()\ncount = 1\nfor i in range(1, len(values)):\n    if values[i] != values[i - 1]:\n        count += 1\n\nprint(count)", "cost_usd": 0.0012128, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.000716, 8e-06, 7e-06, 1.1e-05, 0.999229, 2.3e-05, 6e-06]}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "bf683ab60a5f489ec66e5c06bcb7bdcf47013f45c6cf61b4bb7c76d80c745eaa", "platform_sig": 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