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proofs/90389.json
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{"schema": 2, "epoch": 90389, "nonce": "f9eb28d698c30386", "hotkey": "5GRA8BBQobvZokdqwwQpmceW6D5eA3p6jMnFGDaT5PG8WnAY", "source_hash": "214e79d28d452102b03ac4be44cc9bfc2059a60bf346dc75932d6b6eea94b5be", "weights_hash": "749020122e03f20a93c391fc92197188f0bf56df6e10cc63c6beb39b8e86147a", "model_id": "injected", "total_cost_usd": 0.00832975, "n_calls": 9, "call_log_hash": "4eb15cae8fc898937fa4a4f77370f793fb9671377dd8ba6cb97f6081fbc446e9", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 45.612, "tokens_in": 4635, "tokens_out": 4021, "results": [{"benchmark": "mmlu", "task_id": "mmlu-9144", "answer": "D", "cost_usd": 2.8e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "mmlu", "task_id": "mmlu-10355", "answer": "D", "cost_usd": 0.0001426, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-191", "answer": "5", "cost_usd": 5.0400000000000005e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-722", "answer": "255", "cost_usd": 9.059999999999998e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-abc396_a", "answer": "import sys\n\ndef main():\n data = list(map(int, sys.stdin.buffer.read().split()))\n n = data[0]\n a = data[1:1 + n]\n\n for i in range(n - 2):\n if a[i] == a[i + 1] == a[i + 2]:\n print(\"Yes\")\n return\n\n print(\"No\")\n\nif __name__ == \"__main__\":\n main()\n", "cost_usd": 0.0026598, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-abc395_c", "answer": "# input\nimport sys\n\ndef main():\n input_data = sys.stdin.read().split()\n if not input_data:\n return\n N = int(input_data[0])\n A = [int(x) for x in input_data[1:N+1]]\n \n last_pos = {}\n min_len = float('inf')\n \n for i, val in enumerate(A):\n if val in last_pos:\n l = i - last_pos[val] + 1\n if l < min_len:\n min_len = l\n last_pos[val] = i\n \n if min_len == float('inf'):\n print(-1)\n else:\n print(min_len)\n\nif __name__ == '__main__':\n main()\n", "cost_usd": 0.0053583500000000004, "chosen_rung": -1, "rungs_used": [], "distribution": []}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "de2fcdc06daa1f5ae8c372671f3de82b2b57f753ff0b6fdeadd9e4aca7f68387", "platform_sig": 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