{"task": {"agent_timeout": 1800, "task": "303", "verifier_timeout": 1800, "instruction": "# 303: DS-1000 Task\n\n## Prompt\nProblem:\nI want to convert a 1-dimensional array into a 2-dimensional array by specifying the number of columns in the 2D array. Something that would work like this:\n> import numpy as np\n> A = np.array([1,2,3,4,5,6,7])\n> B = vec2matrix(A,ncol=2)\n> B\narray([[1, 2],\n       [3, 4],\n       [5, 6]])\nNote that when A cannot be reshaped into a 2D array, we tend to discard elements which are at the end of A.\nDoes numpy have a function that works like my made-up function \"vec2matrix\"? (I understand that you can index a 1D array like a 2D array, but that isn't an option in the code I have - I need to make this conversion.)\nA:\n<code>\nimport numpy as np\nA = np.array([1,2,3,4,5,6,7])\nncol = 2\n</code>\nB = ... # 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": []}