{"schema": 2, "epoch": 87707, "nonce": "a6fd60b7f57f2f83", "hotkey": "5GuVFWnG62s4r1AGAfrhhHBMnsMPMXKNxrmBpeJdFGyCQEaX", "source_hash": "24837b9ae6895829747c5eb448673693fedbeb2e3e62a5ca170051a512053fc0", "weights_hash": "5f15eca0fad82272932867103208e68aff1869ae29090d5296d01e247cbbe561", "model_id": "router", "total_cost_usd": 0.0034909000000000003, "n_calls": 6, "call_log_hash": "13ab0ffba496855f8ccaf2a3884c5b6540b2694acb80a5db14ef52e6ca36e896", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 77.438, "tokens_in": 1300, "tokens_out": 4133, "results": [{"benchmark": "mmlu", "task_id": "mmlu-11079", "answer": "A", "cost_usd": 9.07e-05, "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-6091", "answer": "A", "cost_usd": 4.3500000000000014e-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-336", "answer": "- Initial value: \\(8 \\times \\$8 = \\$64\\)\n- After a 50% increase: \\(\\$8 \\times 1.5 = \\$12\\) per share\n- After a 25% decrease: \\(\\$12 \\times 0.75 = \\$9\\) per share\n- Final value: \\(8 \\times \\$9 = \\$72\\)\n\n\\[\n\\boxed{72}\n\\]", "cost_usd": 9.509999999999998e-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-299", "answer": "- Daily distance: \\(30 \\times 2 = 60\\) miles  \n- Annual distance: \\(60 \\times 5 \\times 50 = 15{,}000\\) miles  \n- Mileage cost: \\(15{,}000 \\times \\$2 = \\$30{,}000\\)  \n- Annual bonuses: \\(150 \\times 12 = \\$1{,}800\\)  \n- Total annual cost: \\(\\$30{,}000 + \\$1{,}800 = \\$31{,}800\\)\n\n31800", "cost_usd": 0.0001273, "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-abc392_b", "answer": "import sys\n\ndef main():\n    data = list(map(int, sys.stdin.buffer.read().split()))\n    n, m = data[0], data[1]\n    present = set(data[2:2 + m])\n    missing = [i for i in range(1, n + 1) if i not in present]\n\n    print(len(missing))\n    print(*missing)\n\nif __name__ == \"__main__\":\n    main()\n", "cost_usd": 0.0009790000000000003, "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-arc194_a", "answer": "import sys\n\ndef main():\n    data = list(map(int, sys.stdin.buffer.read().split()))\n    n = data[0]\n    a = data[1:]\n\n    neg_inf = -10**30\n    dp = [0]\n\n    for x in a:\n        m = len(dp)\n        ndp = [neg_inf] * (m + 1)\n        for h, v in enumerate(dp):\n            if v == neg_inf:\n                continue\n            ndp[h + 1] = max(ndp[h + 1], v + x)\n            if h:\n                ndp[h - 1] = max(ndp[h - 1], v)\n        dp = ndp\n\n    print(max(dp))\n\nif __name__ == \"__main__\":\n    main()\n", "cost_usd": 0.0021553, "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": "2898785959214ca9d1e76f9d4687a76aced993f8d24757d756064b53bb65ad6c", "platform_sig": 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