| {"schema": 2, "epoch": 87857, "nonce": "ab244bfcede36c32", "hotkey": "5FRE1kqMJz8ddModcXUsCquuWhB8QHnjYib2iK2VfiFetkC5", "source_hash": "24837b9ae6895829747c5eb448673693fedbeb2e3e62a5ca170051a512053fc0", "weights_hash": "2e4d6a88063177a0a7a564f24e10b347ef48e87c9595a209162369a4fa4d4477", "model_id": "router", "total_cost_usd": 0.0038491178, "n_calls": 6, "call_log_hash": "40506214e11e45b79e9fdc2b49f7641291e960fc4b34dd5676882cff022236f0", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 34.044, "tokens_in": 1281, "tokens_out": 2453, "results": [{"benchmark": "mmlu", "task_id": "mmlu-8185", "answer": "A", "cost_usd": 4.907e-05, "chosen_rung": 0, "rungs_used": [0], "distribution": [0.99996, 1e-05, 0.0, 0.0, 1.5e-05, 1.6e-05, 0.0]}, {"benchmark": "mmlu", "task_id": "mmlu-3985", "answer": "A", "cost_usd": 6.0580000000000006e-05, "chosen_rung": 0, "rungs_used": [0], "distribution": [0.998987, 0.000211, 0.0, 0.0, 0.000802, 0.0, 0.0]}, {"benchmark": "math", "task_id": "gsm8k-960", "answer": "End of first day: 10 holes \nAfter second day: 10 + 13 = 23 holes \nAfter third day: 23 + 8 - 2 = 29 holes \n\nOn fourth day, total holes were 4 \u00d7 10 = 40. \nSo holes dug on fourth day: 40 - 29 = 11 \n\nFinal answer: 11", "cost_usd": 0.0001346968, "chosen_rung": 1, "rungs_used": [1], "distribution": [0.001006, 0.998027, 0.0, 0.0, 2.6e-05, 0.000942, 0.0]}, {"benchmark": "math", "task_id": "gsm8k-1094", "answer": "The probability that Ellen's friend picks a shaken soda is the number of shaken sodas remaining divided by the total number of sodas remaining. After Ellen and her brother take their sodas, there are 2 shaken and 6 unshaken sodas left, for a total of 8. The probability is 2/8 = 1/4 = 25%.\n\n25", "cost_usd": 0.000203971, "chosen_rung": 1, "rungs_used": [1], "distribution": [0.003572, 0.996313, 0.0, 0.0, 7.9e-05, 3.6e-05, 0.0]}, {"benchmark": "code", "task_id": "lcb-abc388_a", "answer": "s = input().strip()\nprint(s[0] + \"UPC\")", "cost_usd": 3.3299999999999996e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.001546, 0.000372, 0.0, 0.0, 0.99633, 0.001752, 0.0]}, {"benchmark": "code", "task_id": "lcb-abc392_d", "answer": "import sys\nfrom collections import Counter\n\ndef main():\n input = sys.stdin.read\n data = input().split()\n if not data:\n return\n \n N = int(data[0])\n idx = 1\n \n counts = []\n \n for _ in range(N):\n K = int(data[idx])\n idx += 1\n die_counts = Counter()\n for j in range(K):\n die_counts[int(data[idx + j])] += 1\n idx += K\n \n # Convert to relative frequencies\n freq = {val: count / K for val, count in die_counts.items()}\n counts.append(freq)\n \n max_prob = 0.0\n for i in range(N):\n for j in range(i + 1, N):\n prob = 0.0\n # Iterate over the smaller dict for efficiency\n d1, d2 = counts[i], counts[j]\n if len(d1) > len(d2):\n d1, d2 = d2, d1\n for val, p1 in d1.items():\n if val in d2:\n prob += p1 * d2[val]\n if prob > max_prob:\n max_prob = prob\n \n print(f\"{max_prob:.15f}\")\n\nif __name__ == '__main__':\n main()", "cost_usd": 0.0033675, "chosen_rung": 5, "rungs_used": [5], "distribution": [0.000107, 3.9e-05, 0.0, 0.0, 0.000234, 0.99962, 0.0]}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "beb95ef8dd70526dc57a5e214a9ac574c99b7c9bd841f7937e6cc406ecd4c1e6", "platform_sig": 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