{"task": {"agent_timeout": 1800, "task": "294", "verifier_timeout": 1800, "instruction": "# 294: DS-1000 Task\n\n## Prompt\nProblem:\nI want to figure out how to remove nan values from my array. \nFor example, My array looks something like this:\nx = [[1400, 1500, 1600, nan], [1800, nan, nan ,1700]] #Not in this exact configuration\nHow can I remove the nan values from x?\nNote that after removing nan, the result cannot be np.array due to dimension mismatch, so I want to convert the result to list of lists.\nx = [[1400, 1500, 1600], [1800, 1700]]\nA:\n<code>\nimport numpy as np\nx = np.array([[1400, 1500, 1600, np.nan], [1800, np.nan, np.nan ,1700]])\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": []}