{"task": {"agent_timeout": 1800, "task": "254", "verifier_timeout": 1800, "instruction": "# 254: DS-1000 Task\n\n## Prompt\nProblem:\nI have a dataframe with one of its column having a list at each index. I want to concatenate these lists into one list. I am using \nids = df.loc[0:index, 'User IDs'].values.tolist()\n\n\nHowever, this results in \n['[1,2,3,4......]'] which is a string. Somehow each value in my list column is type str. I have tried converting using list(), literal_eval() but it does not work. The list() converts each element within a list into a string e.g. from [12,13,14...] to ['['1'',','2',','1',',','3'......]'].\nHow to concatenate pandas column with list values into one list? Kindly help out, I am banging my head on it for several hours. \n\n\nA:\n<code>\nimport pandas as pd\n\n\ndf = pd.DataFrame(dict(col1=[[1, 2, 3]] * 2))\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": []}