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+ {"schema": 2, "epoch": 87792, "nonce": "24af8fcdb4a89ff8", "hotkey": "5EfUXwA4SDiNR8kQszqDCGtjiTGaTm8S5Krn8XJyEnP9PMKp", "source_hash": "24837b9ae6895829747c5eb448673693fedbeb2e3e62a5ca170051a512053fc0", "weights_hash": "9293336bbd13448fcb27be18cccf92c34da46941cfea8baa8b5709d18bde9662", "model_id": "router", "total_cost_usd": 0.0013931999999999996, "n_calls": 6, "call_log_hash": "e21f1de48e0b1a542054ad31986b18d8ebb91f7e77f709916c979dcd0655ebde", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 34.201, "tokens_in": 1350, "tokens_out": 2097, "results": [{"benchmark": "mmlu", "task_id": "mmlu-7125", "answer": "D", "cost_usd": 8.3e-06, "chosen_rung": 4, "rungs_used": [4], "distribution": [5.4e-05, 0.000105, 5.4e-05, 5.4e-05, 0.999661, 5e-06, 6.7e-05]}, {"benchmark": "mmlu", "task_id": "mmlu-7994", "answer": "D", "cost_usd": 9.1e-06, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.000577, 0.002523, 0.000577, 0.000577, 0.992454, 0.001698, 0.001593]}, {"benchmark": "math", "task_id": "gsm8k-808", "answer": "1. Four students drank: \\(4 \\times 1.5 = 6\\) quarts. \n2. Sixteen students drank: \\(16 \\times 2 = 32\\) quarts. \n3. Total consumed: \\(6 + 32 = 38\\) quarts. \n4. Initial tea: \\(38 + 10 = 48\\) quarts. \n5. Convert to gallons: \\(48 \\div 4 = 12\\).\n\n12", "cost_usd": 0.0001134, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.000326, 0.001197, 0.000326, 0.000326, 0.996096, 0.000203, 0.001524]}, {"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": 7.67e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.000237, 0.001099, 0.000237, 0.000237, 0.997679, 0.000257, 0.000254]}, {"benchmark": "code", "task_id": "lcb-abc388_b", "answer": "import sys\n\ndef main():\n data = list(map(int, sys.stdin.buffer.read().split()))\n n, d = data[0], data[1]\n snakes = [(data[i], data[i + 1]) for i in range(2, 2 + 2 * n, 2)]\n\n results = []\n for k in range(1, d + 1):\n results.append(str(max(t * (l + k) for t, l in snakes)))\n\n sys.stdout.write(\"\\n\".join(results))\n\nif __name__ == \"__main__\":\n main()\n", "cost_usd": 0.00011510000000000003, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.002103, 0.012623, 0.002103, 0.002103, 0.933854, 0.020962, 0.026251]}, {"benchmark": "code", "task_id": "lcb-abc390_d", "answer": "import sys\n\nsys.setrecursionlimit(100000)\n\ndata = list(map(int, sys.stdin.buffer.read().split()))\nn = data[0]\na = data[1:]\n\nresults = set()\nblocks = [a[0]]\n\ndef dfs(i, current_xor):\n if i == n:\n results.add(current_xor)\n return\n\n value = a[i]\n m = len(blocks)\n\n for j in range(m):\n old = blocks[j]\n new = old + value\n blocks[j] = new\n dfs(i + 1, current_xor ^ old ^ new)\n blocks[j] = old\n\n blocks.append(value)\n dfs(i + 1, current_xor ^ value)\n blocks.pop()\n\ndfs(1, a[0])\nprint(len(results))", "cost_usd": 0.0010705999999999997, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.002645, 0.018887, 0.002645, 0.002645, 0.902542, 0.040474, 0.030161]}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "b5319a1fa395c9b7d97e969973d5497e67c9ff6971ba37c065137779d06d298a", "platform_sig": 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