{"task": {"agent_timeout": 1800, "task": "283", "verifier_timeout": 1800, "instruction": "# 283: DS-1000 Task\n\n## Prompt\nProblem:\nI need to rename only the first column in my dataframe, the issue is there are many columns with the same name (there is a reason for this), thus I cannot use the code in other examples online. Is there a way to use something specific that just isolates the first column?\nI have tried to do something like this\ndf.rename(columns={df.columns[0]: 'Test'}, inplace=True)\nHowever this then means that all columns with that same header are changed to 'Test', whereas I just want the first one to change.\nI kind of need something like df.columns[0] = 'Test'  but this doesn't work.\n\n\nA:\n<code>\nimport pandas as pd\n\n\ndf = pd.DataFrame([[1, 2, 3], [4, 5, 6], [7, 8, 9]], columns=list('ABA'))\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": []}