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+ {"schema": 2, "epoch": 88655, "nonce": "57e95f094ebaa15b", "hotkey": "5E26mnS3bACvPAsi2KkAD2ZC8oQmzcmEoGp9BXWXE9iwVF68", "source_hash": "b09c9546573cfa337e83b16af40ee5c330973507626f0f0c1ff37d976056fec2", "weights_hash": "89ea1a62d33ac0dbc2aeedfe9b2379c106f327d7ccf7e71c394fe92cb17ed1c6", "model_id": "injected", "total_cost_usd": 0.007912, "n_calls": 9, "call_log_hash": "556200a72796d91ad552699704ef0e44468ba70b39931080c05644a3c85446ea", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 45.422, "tokens_in": 4463, "tokens_out": 4218, "results": [{"benchmark": "mmlu", "task_id": "mmlu-9197", "answer": "D", "cost_usd": 3.02e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "mmlu", "task_id": "mmlu-8830", "answer": "D", "cost_usd": 2.94e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-139", "answer": "Let \\(p\\) be the number of pink gumballs and \\(b\\) the number of blue gumballs.\n\nThe relationship is:\n\\[\np = 4b + 22\n\\]\n\nSubstitute \\(b=12\\):\n\\[\np = 4(12)+22=48+22=70\n\\]\n\n70", "cost_usd": 0.0001604, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-409", "answer": "1. Weekly pay per employee: \\(15 \\times 40 = 600\\).\n2. May payroll: \\(40 \\times 600 \\times 4 = 24{,}000\\).\n3. Employees remaining in June: \\(40 \\times \\frac{3}{4} = 30\\).\n4. June payroll: \\(30 \\times 600 \\times 4 = 18{,}000\\).\n5. Total paid: \\(24{,}000 + 18{,}000 = 42{,}000\\).\n\n42000", "cost_usd": 0.00032039999999999993, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-abc399_b", "answer": "import sys\n\ndef main():\n data = list(map(int, sys.stdin.read().split()))\n n = data[0]\n scores = data[1:1 + n]\n\n rank = {}\n current_rank = 1\n for score in sorted(set(scores), reverse=True):\n count = scores.count(score)\n rank[score] = current_rank\n current_rank += count\n\n print(\"\\n\".join(str(rank[score]) for score in scores))\n\nif __name__ == \"__main__\":\n main()\n", "cost_usd": 0.0041024, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-abc392_d", "answer": "import sys\n\ndef main():\n data = list(map(int, sys.stdin.buffer.read().split()))\n n = data[0]\n pos = 1\n\n occurrences = [[] for _ in range(100001)]\n inv_k = [0.0] * n\n\n for i in range(n):\n k = data[pos]\n pos += 1\n inv_k[i] = 1.0 / k\n\n counts = {}\n for _ in range(k):\n value = data[pos]\n pos += 1\n counts[value] = counts.get(value, 0) + 1\n\n for value, count in counts.items():\n occurrences[value].append((i, count * inv_k[i]))\n\n scores = [[0.0] * n for _ in range(n)]\n\n for entries in occurrences:\n m = len(entries)\n for x in range(m):\n i, wi = entries[x]\n for y in range(x + 1, m):\n j, wj = entries[y]\n scores[i][j] += wi * wj\n\n answer = 0.0\n for i in range(n):\n for j in range(i + 1, n):\n if scores[i][j] > answer:\n answer = scores[i][j]\n\n print(f\"{answer:.15f}\")\n\nif __name__ == \"__main__\":\n main()\n", "cost_usd": 0.0032692000000000008, "chosen_rung": -1, "rungs_used": [], "distribution": []}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "a517baaafd2cc71e5d95da0539a95a29582fa554b60791136c96a57dd45f21eb", "platform_sig": 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