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+ {"schema": 2, "epoch": 88211, "nonce": "01eb23fa369e252b", "hotkey": "5CSJhqwtLLGq6U13mBjURPUEi6JqMzsc8XpHrbj1VfS6AhPh", "source_hash": "c7d0259388a343cefeb54d81361667d536a8892167127ec069310a42ffe1f67a", "weights_hash": "96ba0459cf049ba51e47592b621b448ca08dffa41f1e977085cca95556d888dc", "model_id": "injected", "total_cost_usd": 0.0009337999999999999, "n_calls": 6, "call_log_hash": "a8cd1ad0a9983855ed2073e68265ddb36f0e920b88b8bdf495a049db32374b0f", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 28.501, "tokens_in": 1958, "tokens_out": 1230, "results": [{"benchmark": "mmlu", "task_id": "mmlu-12959", "answer": "C", "cost_usd": 2.71e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "mmlu", "task_id": "mmlu-5719", "answer": "A", "cost_usd": 3.94e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-657", "answer": "Plane cost: $150,000\n\nHanger for 12 months: 12 \u00d7 $5,000 = $60,000\n\nFuel for 12 months: 12 \u00d7 (2 \u00d7 $5,000) = $120,000\n\nTotal: $150,000 + $60,000 + $120,000 = $330,000\n\n330000", "cost_usd": 9.369999999999999e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-627", "answer": "- First three days: \\(3 \\times 10 = 30\\) cars.\n- Remaining four days: \\(10 - 4 = 6\\) cars per day.\n- Remaining days total: \\(4 \\times 6 = 24\\) cars.\n- Weekly total: \\(30 + 24 = 54\\) cars.\n\n54", "cost_usd": 9.069999999999998e-05, "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.buffer.read().split()))\n n = data[0]\n scores = data[1:1 + n]\n\n ranks = {}\n current_rank = 1\n for score in sorted(set(scores), reverse=True):\n ranks[score] = current_rank\n current_rank += scores.count(score)\n\n print(\"\\n\".join(str(ranks[score]) for score in scores))\n\nif __name__ == \"__main__\":\n main()\n", "cost_usd": 0.00017259999999999997, "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 idx = 1\n ks = [0] * n\n by_value = {}\n\n for i in range(n):\n k = data[idx]\n idx += 1\n ks[i] = k\n for _ in range(k):\n x = data[idx]\n idx += 1\n d = by_value.setdefault(x, {})\n d[i] = d.get(i, 0) + 1\n\n best = 0.0\n\n for d in by_value.values():\n items = list(d.items())\n m = len(items)\n for a in range(m):\n i, ci = items[a]\n pi = ci / ks[i]\n for b in range(a + 1, m):\n j, cj = items[b]\n p = pi * (cj / ks[j])\n if p > best:\n best = p\n\n print(\"{:.15f}\".format(best))\n\nif __name__ == \"__main__\":\n main()\n", "cost_usd": 0.0005103, "chosen_rung": -1, "rungs_used": [], "distribution": []}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "474beb8f89f6060172cb5cae56bba7caba0743372aefd9264ed6162369f972d5", "platform_sig": 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