| {"schema": 2, "epoch": 87826, "nonce": "b9b4ca1ff1ed9132", "hotkey": "5CaXH581GtSjxFaFaJzSN35CyKzvFMQhRAxrNy6qmoztNiPz", "source_hash": "24837b9ae6895829747c5eb448673693fedbeb2e3e62a5ca170051a512053fc0", "weights_hash": "326160e1d94b4bbe75f479602636fc327592fd054163b65baf22ac2292c9ef5f", "model_id": "router", "total_cost_usd": 0.1020948, "n_calls": 6, "call_log_hash": "fd7ecfdbd446d8fa0d5df5482591767e5b02fb35b4c3c0b83d994e689c7e64fa", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 228.615, "tokens_in": 1556, "tokens_out": 7028, "results": [{"benchmark": "mmlu", "task_id": "mmlu-11381", "answer": "B", "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-13108", "answer": "D", "cost_usd": 8.599999999999999e-06, "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-751", "answer": "1. Gunther had 48 bananas.\n2. Arnold stole half: \\(48 \\div 2 = 24\\), leaving \\(48 - 24 = 24\\).\n3. Gunther added 25: \\(24 + 25 = 49\\).\n4. Arnold stole 12: \\(49 - 12 = 37\\).\n5. Gunther added 6: \\(37 + 6 = 43\\).\n\n43", "cost_usd": 0.0001061, "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-376", "answer": "Half of 40 pupils like blue:\n\n40 \u00f7 2 = 20\n\nRemaining pupils:\n\n40 \u2212 20 = 20\n\nOne-fourth of the remaining pupils like green:\n\n20 \u00f7 4 = 5\n\nThe rest like yellow:\n\n20 \u2212 5 = 15\n\n15", "cost_usd": 7.61e-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-abc390_a", "answer": "import sys\n\nA = list(map(int, sys.stdin.read().split()))\n\nfor i in range(4):\n B = A[:]\n B[i], B[i + 1] = B[i + 1], B[i]\n if B == [1, 2, 3, 4, 5]:\n print(\"Yes\")\n break\nelse:\n print(\"No\")\n", "cost_usd": 8.450000000000002e-05, "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-arc194_a", "answer": "import sys\n\ndef main():\n data = sys.stdin.buffer.read().split()\n n = int(data[0])\n a = list(map(int, data[1:1 + n]))\n\n NEG = -10**30\n best_even = NEG\n best_odd = NEG\n\n for i, x in enumerate(a, 1):\n if i & 1:\n cand = x\n if best_even != NEG:\n cand = max(cand, best_even + x)\n if cand > best_odd:\n best_odd = cand\n else:\n if best_odd != NEG:\n cand = best_odd + x\n if cand > best_even:\n best_even = cand\n\n if n & 1:\n print(best_odd)\n else:\n print(max(best_even, 0))\n\nmain()", "cost_usd": 0.101781, "chosen_rung": 6, "rungs_used": [6], "distribution": [1e-06, 1e-06, 0.0, 0.0, 1e-06, 1e-06, 0.999995]}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "383cc3c63e94ebe174fc2fab2af1383710e6d7080d3f10f3880d5f374e970268", "platform_sig": 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