| {"schema": 2, "epoch": 87814, "nonce": "ae307f1fe971b4c7", "hotkey": "5CaXH581GtSjxFaFaJzSN35CyKzvFMQhRAxrNy6qmoztNiPz", "source_hash": "24837b9ae6895829747c5eb448673693fedbeb2e3e62a5ca170051a512053fc0", "weights_hash": "326160e1d94b4bbe75f479602636fc327592fd054163b65baf22ac2292c9ef5f", "model_id": "router", "total_cost_usd": 0.0011561, "n_calls": 6, "call_log_hash": "201fb67155ab1872b8cca78e169a6c99d469fa9ce5ef43d2d027c233b37eaba1", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 26.143, "tokens_in": 1337, "tokens_out": 1704, "results": [{"benchmark": "mmlu", "task_id": "mmlu-4440", "answer": "C", "cost_usd": 3.85e-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-12492", "answer": "C", "cost_usd": 1.4399999999999998e-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-369", "answer": "- Picture frames: \\(44 \\times \\$20 = \\$880\\)\n- Etching: \\(20\\%\\) of \\$20 is \\$4 per frame, so \\(44 \\times \\$4 = \\$176\\)\n- Frames with etching: \\(\\$880 + \\$176 = \\$1,056\\)\n- Pins: \\(2 \\times \\$5 = \\$10\\)\n- Officer cords: \\(\\frac14 \\times 44 = 11\\) officers, and \\(11 \\times \\$12 = \\$132\\)\n- Total: \\(\\$1,056 + \\$10 + \\$132 = \\$1,198\\)\n\n1198", "cost_usd": 0.00014660000000000004, "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-605", "answer": "First 4 hours: \\(4 \\times 15 = 60\\) cups, earning \\(60 \\times \\$0.50 = \\$30\\).\n\nNext 2 hours: \\(2 \\times 10 = 20\\) cups, earning \\(20 \\times \\$0.60 = \\$12\\).\n\nTotal: \\(30 + 12 = 42\\)\n\n42", "cost_usd": 9.549999999999999e-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-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 = [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": 9.729999999999998e-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_d", "answer": "import sys\nimport heapq\n\ndef main():\n data = list(map(int, sys.stdin.buffer.read().split()))\n n = data[0]\n a = data[1:]\n\n heap = []\n ans = []\n\n for i in range(1, n + 1):\n while heap and heap[0] < i:\n heapq.heappop(heap)\n\n current = a[i - 1] + len(heap)\n ans.append(max(0, current - (n - i)))\n\n if current > 0:\n heapq.heappush(heap, i + current)\n\n print(*ans)\n\nif __name__ == \"__main__\":\n main()\n", "cost_usd": 0.0007638, "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": "3bf3c6ff3558367413daced50e0b4e300f67529eba62ba69286a54d826a208d1", "platform_sig": 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