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proofs/88416.json
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{"schema": 2, "epoch": 88416, "nonce": "559cd5596ed0bb39", "hotkey": "5CDRYdHggymECVATzv8rRM2PK7H2kq1vnC6rgajpKmNTzoTs", "source_hash": "19cf1a13badaa4a0a5fbebf4fc11e9a496dae2fca3913254fb8f328ed951718a", "weights_hash": "746f55ade42c36853b2f378c5a6267a30d912404a77c36c3f7cde877151d451e", "model_id": "injected", "total_cost_usd": 0.010282050000000001, "n_calls": 7, "call_log_hash": "6195a94e444430ca679b4843abe7a0905588f3dfafa3f78fefbfa6b305404789", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 39.991, "tokens_in": 2537, "tokens_out": 4371, "results": [{"benchmark": "mmlu", "task_id": "mmlu-4134", "answer": "D", "cost_usd": 4.6e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "mmlu", "task_id": "mmlu-6905", "answer": "A", "cost_usd": 3.399999999999999e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-898", "answer": "Dijana rowed 50 miles.\n\nAnis rowed \\( \\frac{1}{5} \\) more than Dijana:\n\n\\[\n50+\\frac{1}{5}\\times 50=50+10=60\n\\]\n\nTogether, they rowed:\n\n\\[\n50+60=110\n\\]\n\n110", "cost_usd": 0.0001068, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-697", "answer": "Great Grandma Jones has 3 children.\n\nEach child has 3 children:\n3 \u00d7 3 = 9 grandchildren.\n\nEach of the 9 grandchildren has 3 babies:\n9 \u00d7 3 = 27 great-grandbabies.\n\n27", "cost_usd": 8.830000000000003e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-abc395_b", "answer": "import sys\n\nn = int(sys.stdin.buffer.readline())\n\ngrid = [['?'] * n for _ in range(n)]\n\nfor i in range(n):\n j = n - 1 - i\n if i <= j:\n color = '#' if i % 2 == 0 else '.'\n for r in range(i, j + 1):\n for c in range(i, j + 1):\n grid[r][c] = color\n\nprint('\\n'.join(''.join(row) for row in grid))", "cost_usd": 0.00916955, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-abc392_d", "answer": "import sys\nfrom collections import Counter\n\ndef main():\n data = iter(map(int, sys.stdin.buffer.read().split()))\n n = next(data)\n\n ks = []\n groups = [[] for _ in range(100001)]\n\n for i in range(n):\n k = next(data)\n ks.append(k)\n counts = Counter(next(data) for _ in range(k))\n for value, count in counts.items():\n groups[value].append((i, count))\n\n scores = [0] * (n * n)\n\n for occurrences in groups:\n m = len(occurrences)\n for x in range(m):\n i, ci = occurrences[x]\n base = i * n\n for y in range(x + 1, m):\n j, cj = occurrences[y]\n scores[base + j] += ci * cj\n\n answer = 0.0\n for i in range(n):\n base = i * n\n for j in range(i + 1, n):\n probability = scores[base + j] / (ks[i] * ks[j])\n if probability > answer:\n answer = probability\n\n print(\"{:.15f}\".format(answer))\n\nif __name__ == \"__main__\":\n main()\n", "cost_usd": 0.0008374000000000003, "chosen_rung": -1, "rungs_used": [], "distribution": []}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "ae19d5cfd9d95a33481aaba1b9a9b29eece7839d43713462924baa733c5d9ba0", "platform_sig": 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