{"schema": 2, "epoch": 87685, "nonce": "71ee83cca22901b5", "hotkey": "5GuVFWnG62s4r1AGAfrhhHBMnsMPMXKNxrmBpeJdFGyCQEaX", "source_hash": "24837b9ae6895829747c5eb448673693fedbeb2e3e62a5ca170051a512053fc0", "weights_hash": "095ffbac36e314358948a86370be2e0be5384b2278d5ee9bc924d7f155c7d474", "model_id": "router", "total_cost_usd": 0.0008424, "n_calls": 6, "call_log_hash": "e18621f0501ffb0af31a19382d32a07caebcf5edd298329712d3f1fef6b04fed", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 22.938, "tokens_in": 1392, "tokens_out": 1172, "results": [{"benchmark": "mmlu", "task_id": "mmlu-13132", "answer": "D", "cost_usd": 7.3e-06, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.012719, 0.003796, 0.003582, 0.003621, 0.828742, 0.05477, 0.09277]}, {"benchmark": "mmlu", "task_id": "mmlu-9904", "answer": "C", "cost_usd": 9.099999999999998e-06, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.015044, 0.004441, 0.00419, 0.004287, 0.846869, 0.092194, 0.032976]}, {"benchmark": "math", "task_id": "gsm8k-461", "answer": "Frederick has 10 plants.\n\nToni has 60% more:\n\\(10 + 0.6 \\times 10 = 16\\)\n\nShondra has 7 fewer than Toni:\n\\(16 - 7 = 9\\)\n\n9", "cost_usd": 7.400000000000001e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.009854, 0.002737, 0.002488, 0.002559, 0.892242, 0.036791, 0.053329]}, {"benchmark": "math", "task_id": "gsm8k-140", "answer": "Total semi-automatic cars: \\(20 - 12 - 4 = 4\\)\n\nPercentage: \\(\\frac{4}{20} \\times 100 = 20\\%\\)\n\n20%", "cost_usd": 7.26e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.013247, 0.003845, 0.003539, 0.003665, 0.855306, 0.048799, 0.071599]}, {"benchmark": "code", "task_id": "lcb-abc395_b", "answer": "n = int(input())\nfor i in range(1, n + 1):\n    row = []\n    for j in range(1, n + 1):\n        layer = min(i, j, n + 1 - i, n + 1 - j)\n        row.append(\"#\" if layer % 2 == 1 else \".\")\n    print(\"\".join(row))", "cost_usd": 0.00016800000000000002, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.007464, 0.001975, 0.001844, 0.001879, 0.9174, 0.0293, 0.040138]}, {"benchmark": "code", "task_id": "lcb-abc392_d", "answer": "import sys\nfrom collections import Counter\n\ndata = list(map(int, sys.stdin.buffer.read().split()))\nn = data[0]\nidx = 1\n\nks = [0] * n\noccurrences = [[] for _ in range(100001)]\n\nfor i in range(n):\n    k = data[idx]\n    idx += 1\n    ks[i] = k\n    counts = Counter(data[idx:idx + k])\n    idx += k\n    for value, count in counts.items():\n        occurrences[value].append((i, count))\n\nnumerators = [[0] * n for _ in range(n)]\n\nfor entries in occurrences:\n    m = len(entries)\n    for x in range(m):\n        i, ci = entries[x]\n        for y in range(x + 1, m):\n            j, cj = entries[y]\n            numerators[i][j] += ci * cj\n\nanswer = 0.0\nfor i in range(n):\n    for j in range(i + 1, n):\n        probability = numerators[i][j] / (ks[i] * ks[j])\n        if probability > answer:\n            answer = probability\n\nprint(f\"{answer:.15f}\")", "cost_usd": 0.0005114, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.004115, 0.001047, 0.000941, 0.000926, 0.885773, 0.006896, 0.100302]}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "e2ffc25afdc4a50bbfa8f1d8348aa06054310df79ef5146d604f7b678c0f002e", "platform_sig": 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