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+ {"schema": 2, "epoch": 88385, "nonce": "1ee6525d245da3e3", "hotkey": "5FRE1kqMJz8ddModcXUsCquuWhB8QHnjYib2iK2VfiFetkC5", "source_hash": "1b6c06d6eb16e5e553195102d473d556ad2db09e4f698a599735242714efb202", "weights_hash": "f9ba14a964ea30142e764f44ef6523a81ddd943bd869d84b485d60d726d39b0e", "model_id": "injected", "total_cost_usd": 0.00670115, "n_calls": 6, "call_log_hash": "20d7576232bfa981af0596976a767e2d1480dfc87173eeeb1a1e82ed1b75178a", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 18.927, "tokens_in": 1612, "tokens_out": 2146, "results": [{"benchmark": "mmlu", "task_id": "mmlu-1521", "answer": "C", "cost_usd": 0.00025275, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "mmlu", "task_id": "mmlu-13510", "answer": "D", "cost_usd": 0.000564, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-1172", "answer": "To find the total number of cloud puffs Alice counted across all five days, we calculate the number of clouds seen each day from Monday through Friday:\n\n* **Monday:** 3 clouds\n* **Tuesday:** $3 \\times 2 = 6$ clouds\n* **Wednesday:** $6 \\times 2 = 12$ clouds\n* **Thursday:** $12 \\times 2 = 24$ clouds\n* **Friday:** $24 \\times 2 = 48$ clouds\n\nNow, add the number of clouds counted each day:\n$$3 + 6 + 12 + 24 + 48 = 93$$\n\n93", "cost_usd": 0.0013694999999999998, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-552", "answer": "To calculate the total commission Antonella earned on $2,500 worth of sales:\n\n1. **Commission for the first $1,000:**\n * Rate = 30%\n * $1,000 \u00d7 0.30 = $300\n\n2. **Commission for the sales over $1,000:**\n * Excess amount = $2,500 - $1,000 = $1,500\n * Rate = 30% base rate + 10% additional rate = 40%\n * $1,500 \u00d7 0.40 = $600\n\n3. **Total Earnings:**\n * $300 + $600 = $900\n\n900", "cost_usd": 0.004059, "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:]\n \n rank = [0] * n\n current_rank = 1\n \n for score in sorted(set(scores), reverse=True):\n indices = [i for i, value in enumerate(scores) if value == score]\n for i in indices:\n rank[i] = current_rank\n current_rank += len(indices)\n \n sys.stdout.write(\"\\n\".join(map(str, rank)))\n\nif __name__ == \"__main__\":\n main()\n", "cost_usd": 0.00014760000000000034, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-abc388_c", "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 p = 0\n ans = 0\n for x in a:\n while p < n and 2 * a[p] <= x:\n p += 1\n ans += p\n\n print(ans)\n\nif __name__ == \"__main__\":\n main()\n", "cost_usd": 0.00030830000000000007, "chosen_rung": -1, "rungs_used": [], "distribution": []}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "19fcdccd7e29611449e63a8ca2c29233e85fa099e0eca7fa97b9dca866822d92", "platform_sig": 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