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+ {"schema": 2, "epoch": 88451, "nonce": "c4c19c781c234341", "hotkey": "5CDRYdHggymECVATzv8rRM2PK7H2kq1vnC6rgajpKmNTzoTs", "source_hash": "19cf1a13badaa4a0a5fbebf4fc11e9a496dae2fca3913254fb8f328ed951718a", "weights_hash": "746f55ade42c36853b2f378c5a6267a30d912404a77c36c3f7cde877151d451e", "model_id": "injected", "total_cost_usd": 0.07325115, "n_calls": 8, "call_log_hash": "d16e368b962632e1803881066ac9880db80b6fcb93ef76a2bad2229d707c6769", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 132.291, "tokens_in": 3177, "tokens_out": 22148, "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-7868", "answer": "C", "cost_usd": 3.0300000000000005e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-1060", "answer": "Becky ate 10 slices.\n\nJake ate 3 fewer:\n10 \u2212 3 = 7 slices.\n\nSilvia ate twice as many as Jake:\n2 \u00d7 7 = 14 slices.\n\nTotal slices eaten:\n10 + 7 + 14 = 31\n\n31", "cost_usd": 9.52e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-190", "answer": "3 hours = 3 \u00d7 60 = 180 minutes.\n\nAt 2 peaches per minute:\n180 \u00d7 2 = 360 peaches.\n\n360", "cost_usd": 5.280000000000001e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-abc395_b", "answer": "import sys\n\nn = int(sys.stdin.readline())\ngrid = [['?' for _ in range(n)] for _ in range(n)]\n\nfor i in range(1, n + 1):\n j = n + 1 - i\n if i <= j:\n color = '#' if i % 2 == 1 else '.'\n for r in range(i - 1, j):\n for c in range(i - 1, j):\n grid[r][c] = color\n\nfor row in grid:\n print(''.join(row))", "cost_usd": 0.0101723, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-arc194_a", "answer": "import sys\n\ndata = list(map(int, sys.stdin.buffer.read().split()))\nn = data[0]\na = data[1:]\n\nneg_inf = -10**30\ndp_even = 0\ndp_odd = neg_inf\n\nfor i, value in enumerate(a, 1):\n if i % 2 == 1:\n dp_odd = max(dp_odd, dp_even + value)\n else:\n dp_even = max(dp_even, dp_odd + value)\n\nprint(dp_odd if n % 2 == 1 else dp_even)", "cost_usd": 0.06289335, "chosen_rung": -1, "rungs_used": [], "distribution": []}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "522bcbfc978422893d77294f255c882dd76966956cc57ef886758daca075a66f", "platform_sig": 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