{"task": {"agent_timeout": 1800, "task": "346", "verifier_timeout": 1800, "instruction": "# 346: DS-1000 Task\n\n## Prompt\nProblem:\nI need to do some analysis on a large dataset from a hydrolgeology field work. I am using NumPy. I want to know how I can:\n1.\tmultiply e.g. the row-th row of my array by a number (e.g. 5.2). And then\n2.\tcalculate the cumulative sum of the numbers in that row.\nAs I mentioned I only want to work on a specific row and not the whole array. The result should be an 1-d array --- the cumulative sum.\nA:\n<code>\nimport numpy as np\na = np.random.rand(8, 5)\nrow = 2\nmultiply_number = 5.2\n</code>\nresult = ... # put solution in this variable\nBEGIN SOLUTION\n<code>\n\n## What to do\n- Edit `solution/solution.py` so the code passes the DS-1000 tests.\n- Do not access the internet or install new packages; required libraries are preinstalled in the Docker image.\n- Run tests locally via `bash tests/test.sh`.\n\n## Notes\n- Keep the variable names/signatures implied by the prompt/code_context.\n- The evaluator uses the original DS-1000 `code_context` (`test_execution` / `test_string`).\n", "memory": "", "runnable": false, "difficulty": "", "language": "", "cpus": "", "instruction_truncated": false, "category": "", "compose": false, "has_solution": true, "oracle": null, "docker_image": "ds1000:latest", "taskset": "ds1000", "tags": []}, "runs": []}