{"schema": 2, "epoch": 87671, "nonce": "c65dcecd04b96cbd", "hotkey": "5GuVFWnG62s4r1AGAfrhhHBMnsMPMXKNxrmBpeJdFGyCQEaX", "source_hash": "24837b9ae6895829747c5eb448673693fedbeb2e3e62a5ca170051a512053fc0", "weights_hash": "095ffbac36e314358948a86370be2e0be5384b2278d5ee9bc924d7f155c7d474", "model_id": "router", "total_cost_usd": 0.2256848, "n_calls": 6, "call_log_hash": "b916cb5d6591dbab7fa1944a7eb39c4b1bdf0d6d60200da95c3372ff08f0a0da", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 393.631, "tokens_in": 1491, "tokens_out": 15349, "results": [{"benchmark": "mmlu", "task_id": "mmlu-13035", "answer": "D", "cost_usd": 1.21e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.005336, 0.001324, 0.001205, 0.001221, 0.965496, 0.019833, 0.005585]}, {"benchmark": "mmlu", "task_id": "mmlu-9363", "answer": "A", "cost_usd": 1.42e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.012605, 0.003495, 0.003334, 0.003436, 0.885693, 0.075975, 0.015463]}, {"benchmark": "math", "task_id": "gsm8k-1208", "answer": "Selling price: \\( \\frac{11}{8} \\times 72 = 99\\)\n\nProfit: \\(99 - 72 = 27\\)\n\n\\[\n\\boxed{27}\n\\]", "cost_usd": 5.979999999999999e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.010326, 0.002996, 0.002749, 0.002782, 0.860578, 0.034893, 0.085675]}, {"benchmark": "math", "task_id": "gsm8k-310", "answer": "- Business suits: \\(6 \\times \\$100 = \\$600\\)\n- Suitcases: \\(3 \\times \\$50 = \\$150\\)\n- Flight ticket: \\(5 \\times \\$100 + \\$700 = \\$1{,}200\\)\n- Total spent before gifts and savings: \\(\\$600+\\$150+\\$1{,}200=\\$1{,}950\\)\n- Amount for gifts: \\(\\$6{,}000-\\$1{,}950-\\$2{,}000=\\$2{,}050\\)\n\n2050", "cost_usd": 0.00013040000000000003, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.003672, 0.000903, 0.000801, 0.00079, 0.97068, 0.007087, 0.016067]}, {"benchmark": "code", "task_id": "lcb-abc399_b", "answer": "import sys\n\ndef main():\n input = sys.stdin.readline\n n = int(input())\n scores = list(map(int, input().split()))\n\n rank = [0] * n\n current_rank = 1\n\n for score in sorted(set(scores), reverse=True):\n indices = [i for i, p in enumerate(scores) if p == score]\n for i in indices:\n rank[i] = current_rank\n current_rank += len(indices)\n\n print(\"\\n\".join(map(str, rank)))\n\nif __name__ == \"__main__\":\n main()\n", "cost_usd": 0.0001383, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.001702, 0.000377, 0.000331, 0.000319, 0.981888, 0.002397, 0.012986]}, {"benchmark": "code", "task_id": "lcb-arc191_a", "answer": "import sys\n\ndef main():\n data = sys.stdin.read().split()\n n = int(data[0]); m = int(data[1])\n S = data[2].strip()\n T = data[3].strip()\n d = ord(T[-1]) - 48\n\n cnt = [0] * 10\n for ch in T[:-1]:\n cnt[ord(ch) - 48] += 1\n\n s = [ord(ch) - 48 for ch in S]\n\n # suffix count of positions with original digit < d\n suff_less = [0] * (n + 1)\n for i in range(n - 1, -1, -1):\n suff_less[i] = suff_less[i + 1] + (1 if s[i] < d else 0)\n\n gt_cnt = sum(cnt[d + 1:10]) # optional digits larger than d\n used_d = False\n out = []\n\n for i, cur in enumerate(s):\n opt_max = 0\n for v in range(9, 0, -1):\n if cnt[v]:\n opt_max = v\n break\n\n if i == n - 1 and not used_d:\n out.append(chr(48 + d))\n used_d = True\n continue\n\n if not used_d and d > cur and d >= opt_max:\n out.append(chr(48 + d))\n used_d = True\n continue\n\n if opt_max > cur and opt_max >= d:\n out.append(chr(48 + opt_max))\n cnt[opt_max] -= 1\n if opt_max > d:\n gt_cnt -= 1\n continue\n\n # Keeping cur is best for this position. Use mandatory d now only when\n # it is harmless (cur == d) and no future strictly-better place for d\n # is expected to remain after larger optional digits are spent.\n if (not used_d and cur == d and gt_cnt >= suff_less[i + 1]):\n out.append(chr(48 + d))\n used_d = True\n else:\n out.append(chr(48 + cur))\n\n sys.stdout.write(''.join(out))\n\nmain()", "cost_usd": 0.22533, "chosen_rung": 6, "rungs_used": [6], "distribution": [0.000755, 0.00033, 0.000336, 0.000361, 0.0029, 0.00841, 0.986908]}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "06aef910cdd8209757f87c2de32aa1a50a9962182b6643a40ec3a47ac1167d53", "platform_sig": 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