{"task": {"agent_timeout": 1800, "task": "169", "verifier_timeout": 1800, "instruction": "# 169: DS-1000 Task\n\n## Prompt\nProblem:\nI have a dataFrame with rows and columns that sum to 0.\n\n\n    A   B   C    D\n0   1   1   0    1\n1   0   0   0    0 \n2   1   0   0    1\n3   0   1   0    0  \n4   1   1   0    1 \nThe end result should be\n\n\n    A   B    D\n0   1   1    1\n2   1   0    1\n3   0   1    0  \n4   1   1    1 \nNotice the rows and columns that only had zeros have been removed.\n\n\n\n\nA:\n<code>\nimport pandas as pd\n\n\ndf = pd.DataFrame([[1,1,0,1],[0,0,0,0],[1,0,0,1],[0,1,0,0],[1,1,0,1]],columns=['A','B','C','D'])\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": []}