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+ {"schema": 2, "epoch": 88403, "nonce": "628e4a6e5c4a4ba8", "hotkey": "5CDRYdHggymECVATzv8rRM2PK7H2kq1vnC6rgajpKmNTzoTs", "source_hash": "19cf1a13badaa4a0a5fbebf4fc11e9a496dae2fca3913254fb8f328ed951718a", "weights_hash": "746f55ade42c36853b2f378c5a6267a30d912404a77c36c3f7cde877151d451e", "model_id": "injected", "total_cost_usd": 0.0467685, "n_calls": 7, "call_log_hash": "6231722bb314b8d4b70579f38537fe03463cb3b9a29cb76d2bff2ecab301528d", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 167.895, "tokens_in": 2157, "tokens_out": 22153, "results": [{"benchmark": "mmlu", "task_id": "mmlu-4925", "answer": "C", "cost_usd": 7.2e-06, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "mmlu", "task_id": "mmlu-10279", "answer": "B", "cost_usd": 8.9e-06, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-808", "answer": "Four students drank:\n\\(4 \\times 1.5 = 6\\) quarts\n\nSixteen students drank:\n\\(16 \\times 2 = 32\\) quarts\n\nTotal consumed:\n\\(6 + 32 = 38\\) quarts\n\nTea at the beginning:\n\\(38 + 10 = 48\\) quarts\n\nConvert to gallons:\n\\(48 \\div 4 = 12\\) gallons\n\n12", "cost_usd": 0.0001045, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-1291", "answer": "George has 18 pens.\n\nTimothy has three times as many:\n\\(3 \\times 18 = 54\\)\n\nSarah has half as many as Timothy:\n\\(54 \\div 2 = 27\\)\n\n27", "cost_usd": 6.520000000000001e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-abc398_a", "answer": "n = int(input())\nk = 1 if n % 2 else 2\nd = (n - k) // 2\nprint(\"-\" * d + \"=\" * k + \"-\" * d)\n", "cost_usd": 0.0001339, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-abc390_d", "answer": "import sys\nfrom array import array\n\ndata = list(map(int, sys.stdin.buffer.read().split()))\nn = data[0]\nvalues = data[1:]\n\nbell = [1, 1, 2, 5, 15, 52, 203, 877, 4140, 21147, 115975, 678570, 4213597]\nrequired = bell[n] * 17 // 10 + 1\ntable_bits = required.bit_length()\ntable_size = 1 << table_bits\ntable_mask = table_size - 1\n\ntable = array('Q', [0]) * table_size\nblocks = [0] * n\ncount = [0]\n\nmul = 11400714819323198485\nfull_mask = (1 << 64) - 1\nshift = 64 - table_bits\n\ndef dfs(i, block_count, current_xor,\n values=values, blocks=blocks, table=table, count=count,\n n=n, mul=mul, full_mask=full_mask, shift=shift,\n table_mask=table_mask):\n if i == n:\n key = current_xor + 1\n index = ((current_xor * mul) & full_mask) >> shift\n\n while True:\n current = table[index]\n if current == 0:\n table[index] = key\n count[0] += 1\n return\n if current == key:\n return\n index = (index + 1) & table_mask\n\n value = values[i]\n next_i = i + 1\n\n for j in range(block_count):\n old_sum = blocks[j]\n new_sum = old_sum + value\n blocks[j] = new_sum\n dfs(next_i, block_count, current_xor ^ old_sum ^ new_sum)\n blocks[j] = old_sum\n\n blocks[block_count] = value\n dfs(next_i, block_count + 1, current_xor ^ value)\n\nblocks[0] = values[0]\ndfs(1, 1, values[0])\n\nprint(count[0])", "cost_usd": 0.0464488, "chosen_rung": -1, "rungs_used": [], "distribution": []}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "3ea48f8e30bedd7964d9c967682569b8d8864f9065d126116b72f4de0fed6df2", "platform_sig": 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