{"task": {"agent_timeout": 1800, "task": "500", "verifier_timeout": 1800, "instruction": "# 500: DS-1000 Task\n\n## Prompt\nProblem:\nIn order to get a numpy array from a list I make the following:\nSuppose n = 12\nnp.array([i for i in range(0, n)])\nAnd get:\narray([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11])\nThen I would like to make a (4,3) matrix from this array:\nnp.array([i for i in range(0, 12)]).reshape(4, 3)\nand I get the following matrix:\narray([[ 0,  1,  2],\n       [ 3,  4,  5],\n       [ 6,  7,  8],\n       [ 9, 10, 11]])\nBut if I know that I will have 3 * n elements in the initial list how can I reshape my numpy array, because the following code\nnp.array([i for i in range(0,12)]).reshape(a.shape[0]/3,3)\nResults in the error\nTypeError: 'float' object cannot be interpreted as an integer\nA:\n<code>\nimport numpy as np\na = np.arange(12)\n</code>\na = ... # 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": []}