{"task": {"agent_timeout": 1800, "task": "81", "verifier_timeout": 1800, "instruction": "# 81: DS-1000 Task\n\n## Prompt\nProblem:\nI have a simple dataframe which I would like to bin for every 3 rows to get sum and 2 rows to get avg from end to head.That means for the last 3 rows get their sum, then 2 rows get their avg, then 3 rows get their sum, then 2 rows get their avg\u2026\n\n\nIt looks like this:\n\n\n    col1\n0      2\n1      1\n2      3\n3      1\n4      0\n5      2\n6      1\n7      3\n8      1\nand I would like to turn it into this:\n\n\n   col1\n0     5\n1     1\n2     5\n3     2\nI have already posted a similar question here but I have no Idea how to port the solution to my current use case.\n\n\nCan you help me out?\n\n\nMany thanks!\n\n\n\n\nA:\n<code>\nimport pandas as pd\n\n\ndf = pd.DataFrame({'col1':[2, 1, 3, 1, 0, 2, 1, 3, 1]})\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": []}