| {"schema": 2, "epoch": 87847, "nonce": "1f93b4acedcb232e", "hotkey": "5FRE1kqMJz8ddModcXUsCquuWhB8QHnjYib2iK2VfiFetkC5", "source_hash": "24837b9ae6895829747c5eb448673693fedbeb2e3e62a5ca170051a512053fc0", "weights_hash": "2e4d6a88063177a0a7a564f24e10b347ef48e87c9595a209162369a4fa4d4477", "model_id": "router", "total_cost_usd": 0.12474049000000001, "n_calls": 6, "call_log_hash": "8c062ae392e820a86d4f7181cb31fdced5671256abb7b51ee5fce98c6b02ccdd", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 108.815, "tokens_in": 1392, "tokens_out": 18817, "results": [{"benchmark": "mmlu", "task_id": "mmlu-13313", "answer": "A", "cost_usd": 8.454e-05, "chosen_rung": 0, "rungs_used": [0], "distribution": [0.999871, 1.7e-05, 0.0, 0.0, 0.00011, 3e-06, 0.0]}, {"benchmark": "mmlu", "task_id": "mmlu-11512", "answer": "B", "cost_usd": 0.00017185, "chosen_rung": 0, "rungs_used": [0], "distribution": [0.999696, 0.000134, 0.0, 0.0, 0.000158, 1.2e-05, 0.0]}, {"benchmark": "math", "task_id": "gsm8k-167", "answer": "Seth is 16 years old.\n\nLet Seth's current age be \\(S\\) and Brooke's current age be \\(B\\). \nWe have \\(S = 2B\\). \nIn 2 years, their ages are \\(S+2\\) and \\(B+2\\), and their sum is 28: \n\\((S+2) + (B+2) = 28 \\Rightarrow S + B + 4 = 28 \\Rightarrow S + B = 24\\). \nSubstitute \\(S = 2B\\): \\(2B + B = 24 \\Rightarrow 3B = 24 \\Rightarrow B = 8\\). \nThen \\(S = 2 \\times 8 = 16\\).\n\n16", "cost_usd": 9.128000000000001e-05, "chosen_rung": 1, "rungs_used": [1], "distribution": [0.000475, 0.999237, 0.0, 0.0, 0.000194, 9.5e-05, 0.0]}, {"benchmark": "math", "task_id": "gsm8k-1073", "answer": "The total number of bananas for a week is 315, so the daily consumption is 315 \u00f7 7 = 45 bananas. The first monkey eats 10 bananas per day, and the second monkey eats 4 more, or 14 bananas per day. Together, they eat 10 + 14 = 24 bananas. The third monkey eats the remainder: 45 - 24 = 21 bananas per day.\n\n21", "cost_usd": 7.882000000000001e-05, "chosen_rung": 1, "rungs_used": [1], "distribution": [2.9e-05, 0.999902, 0.0, 0.0, 1.3e-05, 5.5e-05, 0.0]}, {"benchmark": "code", "task_id": "lcb-abc391_a", "answer": "import sys\n\ndef main():\n d = sys.stdin.read().strip()\n opposite = {\n 'N': 'S',\n 'S': 'N',\n 'E': 'W',\n 'W': 'E',\n 'NE': 'SW',\n 'SW': 'NE',\n 'NW': 'SE',\n 'SE': 'NW'\n }\n print(opposite[d])\n\nif __name__ == '__main__':\n main()", "cost_usd": 0.001185, "chosen_rung": 5, "rungs_used": [5], "distribution": [5.5e-05, 4.3e-05, 0.0, 0.0, 0.000612, 0.99929, 0.0]}, {"benchmark": "code", "task_id": "lcb-arc191_a", "answer": "import sys\n\ndef solve():\n input = sys.stdin.read\n data = input().split()\n if not data:\n return\n N = int(data[0])\n M = int(data[1])\n S_str = data[2]\n T_str = data[3]\n\n S = [ord(c) - 48 for c in S_str]\n t_M = ord(T_str[-1]) - 48\n\n counts = [0] * 10\n for i in range(M - 1):\n counts[ord(T_str[i]) - 48] += 1\n\n chosen = [0] * 10\n current_L = 1 # t_M is always included\n\n def get_S_prime(D):\n L = len(D)\n res = bytearray(N)\n ptr = 0\n for i in range(N):\n rem = L - ptr\n if ptr < L and (rem == N - i or D[ptr] > S[i]):\n res[i] = D[ptr] + 48\n ptr += 1\n else:\n res[i] = S[i] + 48\n return bytes(res)\n\n def make_D(chosen_counts):\n D = [t_M]\n for d in range(9, 0, -1):\n if chosen_counts[d] > 0:\n D.extend([d] * chosen_counts[d])\n D.sort(reverse=True)\n return D\n\n for d in range(9, 0, -1):\n max_c = min(counts[d], N - current_L)\n if max_c <= 0:\n continue\n\n low = 0\n high = max_c\n while low < high:\n mid = (low + high) // 2\n chosen[d] = mid\n S1 = get_S_prime(make_D(chosen))\n chosen[d] = mid + 1\n S2 = get_S_prime(make_D(chosen))\n if S1 < S2:\n low = mid + 1\n else:\n high = mid\n chosen[d] = low\n current_L += low\n\n final_D = make_D(chosen)\n final_S = get_S_prime(final_D)\n print(final_S.decode('ascii'))\n\nif __name__ == '__main__':\n solve()", "cost_usd": 0.12312900000000002, "chosen_rung": 5, "rungs_used": [5], "distribution": [8e-06, 2.1e-05, 0.0, 0.0, 0.000994, 0.998976, 0.0]}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "915cd4eb34f8fa60438326b831ed718a661fbe52c9fd0bf9b3caadb8c63006ab", "platform_sig": 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