{"schema": 2, "epoch": 87833, "nonce": "b8c7adf52209a440", "hotkey": "5FRE1kqMJz8ddModcXUsCquuWhB8QHnjYib2iK2VfiFetkC5", "source_hash": "24837b9ae6895829747c5eb448673693fedbeb2e3e62a5ca170051a512053fc0", "weights_hash": "8c94d6e58cc59dda7770ab9ad7aa0be90adc8cbedcd419ef4c539a075d371e1f", "model_id": "router", "total_cost_usd": 0.00060828326, "n_calls": 6, "call_log_hash": "20f31b863a786030c86757275d294818fcc4f94151ade699dd8911fd305cf235", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 64.734, "tokens_in": 1112, "tokens_out": 2193, "results": [{"benchmark": "mmlu", "task_id": "mmlu-7773", "answer": "D", "cost_usd": 1.882e-05, "chosen_rung": 0, "rungs_used": [0], "distribution": [0.999986, 1.2e-05, 0.0, 0.0, 1e-06, 0.0, 0.0]}, {"benchmark": "mmlu", "task_id": "mmlu-4007", "answer": "D", "cost_usd": 4.669e-05, "chosen_rung": 0, "rungs_used": [0], "distribution": [0.999976, 2.1e-05, 0.0, 0.0, 1e-06, 0.0, 0.0]}, {"benchmark": "math", "task_id": "gsm8k-722", "answer": "If Ron does nothing, the damage costs him **$450**.\n\nIf Ron fixes it himself:\n- Fine: $120\n- Asphalt: 3 \u00d7 $25 = $75\n- Total cost: $120 + $75 = $195\n\nMoney saved:  \n$450 - $195 = $255\n\n255", "cost_usd": 4.57744e-05, "chosen_rung": 1, "rungs_used": [1], "distribution": [0.008691, 0.991257, 8e-06, 8e-06, 2.2e-05, 8e-06, 8e-06]}, {"benchmark": "math", "task_id": "gsm8k-372", "answer": "Hallie's dance practice schedule:  \n- Tuesday: 1 hour  \n- Thursday: 2 hours  \n- Saturday: twice as long as Tuesday, so 2 \u00d7 1 = 2 hours  \n\nTotal per week: 1 + 2 + 2 = 5 hours.\n\n5", "cost_usd": 3.6756e-05, "chosen_rung": 1, "rungs_used": [1], "distribution": [0.000226, 0.999766, 1e-06, 1e-06, 3e-06, 1e-06, 1e-06]}, {"benchmark": "code", "task_id": "lcb-abc388_a", "answer": "import sys\n\ndef main():\n    S = sys.stdin.readline().strip()\n    result = S[0] + \"UPC\"\n    print(result)\n\nif __name__ == \"__main__\":\n    main()", "cost_usd": 5.116286e-05, "chosen_rung": 1, "rungs_used": [1], "distribution": [0.003555, 0.996411, 5e-06, 5e-06, 1.4e-05, 5e-06, 5e-06]}, {"benchmark": "code", "task_id": "lcb-abc392_d", "answer": "```python\nimport sys\n\ndef main():\n    data = sys.stdin.read().split()\n    it = iter(data)\n    N = int(next(it))\n    K = [0] * N\n    freq = [None] * N\n\n    for i in range(N):\n        ki = int(next(it))\n        K[i] = ki\n        d = {}\n        for _ in range(ki):\n            a = int(next(it))\n            d[a] = d.get(a, 0) + 1\n        freq[i] = d\n\n    max_prob = 0.0\n    for i in range(N):\n        for j in range(i + 1, N):\n            s = 0\n            # iterate over the smaller dictionary\n            if len(freq[i]) < len(freq[j]):\n                for x, cnt_i in freq[i].items():\n                    cnt_j = freq[j].get(x)\n                    if cnt_j is not None:\n                        s += cnt_i * cnt_j\n            else:\n                for x, cnt_j in freq[j].items():\n                    cnt_i = freq[i].get(x)\n                    if cnt_i is not None:\n                        s += cnt_i * cnt_j\n            prob = s / (K[i] * K[j])\n            if prob > max_prob:\n                max_prob = prob\n\n    print(max_prob)\n\nif __name__ == \"__main__\":\n    main()\n```", "cost_usd": 0.00040908, "chosen_rung": 1, "rungs_used": [1], "distribution": [0.004361, 0.995602, 5e-06, 5e-06, 1.5e-05, 5e-06, 5e-06]}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "157613c67c6a21ca1e44b0db1326bb842ee941cf8a54c9aa46337145b99787bd", "platform_sig": 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