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+ {"schema": 2, "epoch": 88414, "nonce": "9132d9fe348ce01f", "hotkey": "5CDRYdHggymECVATzv8rRM2PK7H2kq1vnC6rgajpKmNTzoTs", "source_hash": "19cf1a13badaa4a0a5fbebf4fc11e9a496dae2fca3913254fb8f328ed951718a", "weights_hash": "746f55ade42c36853b2f378c5a6267a30d912404a77c36c3f7cde877151d451e", "model_id": "injected", "total_cost_usd": 0.07603725, "n_calls": 8, "call_log_hash": "04e1f547af424d9fe00f39f3b7575d38cb01f9c7b7e7c61d20145a21d2513bfe", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 181.428, "tokens_in": 4016, "tokens_out": 27359, "results": [{"benchmark": "mmlu", "task_id": "mmlu-10805", "answer": "D", "cost_usd": 0.0001808, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "mmlu", "task_id": "mmlu-8344", "answer": "D", "cost_usd": 3.499999999999998e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-624", "answer": "Baseball coach: \\(9 \\times 3 = 27\\) dollars.\n\nBasketball coach: \\(8 \\times 14 = 112\\) dollars.\n\nDifference: \\(112 - 27 = 85\\) dollars.\n\n85", "cost_usd": 7.36e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-1101", "answer": "Amber ran 8 miles.\n\nMicah ran \\(3.5 \\times 8 = 28\\) miles.\n\nTogether, Amber and Micah ran \\(8 + 28 = 36\\) miles.\n\nAhito ran \\(52 - 36 = 16\\) miles.\n\n16", "cost_usd": 7.83e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-abc390_a", "answer": "import sys\n\nA = list(map(int, sys.stdin.read().split()))\n\nfor i in range(4):\n B = A[:]\n B[i], B[i + 1] = B[i + 1], B[i]\n if B == sorted(B):\n print(\"Yes\")\n break\nelse:\n print(\"No\")", "cost_usd": 0.00813205, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-abc400_d", "answer": "import sys\nfrom collections import deque\n\ndef main():\n data = sys.stdin.buffer.read().split()\n if not data:\n return\n\n h = int(data[0])\n w = int(data[1])\n grid = data[2:2 + h]\n\n p = 2 + h\n a = int(data[p]) - 1\n b = int(data[p + 1]) - 1\n c = int(data[p + 2]) - 1\n d_target = int(data[p + 3]) - 1\n\n start = a * w + b\n goal = c * w + d_target\n n = h * w\n inf = 10**9\n\n dist = [inf] * n\n dist[start] = 0\n queue = deque([(0, start)])\n directions = ((-1, 0), (1, 0), (0, -1), (0, 1))\n\n while queue:\n cost, v = queue.popleft()\n if cost != dist[v]:\n continue\n if v == goal:\n print(cost)\n return\n\n r, col = divmod(v, w)\n\n if r > 0:\n u = v - w\n if grid[r - 1][col] == 46 and cost < dist[u]:\n dist[u] = cost\n queue.appendleft((cost, u))\n if r + 1 < h:\n u = v + w\n if grid[r + 1][col] == 46 and cost < dist[u]:\n dist[u] = cost\n queue.appendleft((cost, u))\n if col > 0:\n u = v - 1\n if grid[r][col - 1] == 46 and cost < dist[u]:\n dist[u] = cost\n queue.appendleft((cost, u))\n if col + 1 < w:\n u = v + 1\n if grid[r][col + 1] == 46 and cost < dist[u]:\n dist[u] = cost\n queue.appendleft((cost, u))\n\n next_cost = cost + 1\n for dr, dc in directions:\n nr = r + dr\n nc = col + dc\n if 0 <= nr < h and 0 <= nc < w:\n u = nr * w + nc\n if next_cost < dist[u]:\n dist[u] = next_cost\n queue.append((next_cost, u))\n\n nr += dr\n nc += dc\n if 0 <= nr < h and 0 <= nc < w:\n u = nr * w + nc\n if next_cost < dist[u]:\n dist[u] = next_cost\n queue.append((next_cost, u))\n\n print(dist[goal])\n\nif __name__ == \"__main__\":\n main()\n", "cost_usd": 0.0675375, "chosen_rung": -1, "rungs_used": [], "distribution": []}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "13e35e7e429270bd0f6e8b1c7c7a911daed24ab6bf270cfdc36f0dfe42e57511", "platform_sig": 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