{"task": {"agent_timeout": 1800, "task": "259", "verifier_timeout": 1800, "instruction": "# 259: DS-1000 Task\n\n## Prompt\nProblem:\ni got an issue over ranking of date times. Lets say i have following table.\nID    TIME\n01    2018-07-11 11:12:20\n01    2018-07-12 12:00:23\n01    2018-07-13 12:00:00\n02    2019-09-11 11:00:00\n02    2019-09-12 12:00:00\n\n\nand i want to add another column to rank the table by time for each id and group. I used \ndf['RANK'] = data.groupby('ID')['TIME'].rank(ascending=True)\n\n\nbut get an error:\n'NoneType' object is not callable\n\n\nIf i replace datetime to numbers, it works.... any solutions?\n\n\nA:\n<code>\nimport pandas as pd\n\n\ndf = pd.DataFrame({'ID': ['01', '01', '01', '02', '02'],\n                   'TIME': ['2018-07-11 11:12:20', '2018-07-12 12:00:23', '2018-07-13 12:00:00', '2019-09-11 11:00:00', '2019-09-12 12:00:00']})\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": []}