{"task": {"agent_timeout": 1800, "task": "24", "verifier_timeout": 1800, "instruction": "# 24: DS-1000 Task\n\n## Prompt\nProblem:\nI have the following DF\n        Date\n0    2018-01-01\n1    2018-02-08\n2    2018-02-08\n3    2018-02-08\n4    2018-02-08\n\n\nI want to extract the month name and year and day in a simple way in the following format:\n          Date\n0  01-Jan-2018\n1  08-Feb-2018\n2  08-Feb-2018\n3  08-Feb-2018\n4  08-Feb-2018\n\nI have used the df.Date.dt.to_period(\"M\") which returns \"2018-01\" format.\n\n\nA:\n<code>\nimport pandas as pd\n\n\ndf = pd.DataFrame({'Date':['2019-01-01','2019-02-08','2019-02-08', '2019-03-08']})\ndf['Date'] = pd.to_datetime(df['Date'])\n</code>\ndf = ... # 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": []}