{"task": {"agent_timeout": 3000, "task": "pandas-dev__pandas-49078", "verifier_timeout": 6000, "instruction": "ENH: Serialize view of ArrowStringArray\nCurrently Pandas serializes views of ArrowStringArrays by serailizing the whole thing, rather than a subset.  Here is an example:\n\n```python\nIn [1]: import pandas as pd\n\nIn [2]: s = pd.Series([c * 1000 for c in \"abcdefghijklmnopqrstuvwxyz\"])\n\nIn [3]: s\nOut[3]: \n0     aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa...\n1     bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb...\n2     cccccccccccccccccccccccccccccccccccccccccccccc...\n3     dddddddddddddddddddddddddddddddddddddddddddddd...\n4     eeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee...\n5     ffffffffffffffffffffffffffffffffffffffffffffff...\n6     gggggggggggggggggggggggggggggggggggggggggggggg...\n7     hhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh...\n8     iiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiii...\n9     jjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj...\n10    kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk...\n11    llllllllllllllllllllllllllllllllllllllllllllll...\n12    mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmm...\n13    nnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn...\n14    oooooooooooooooooooooooooooooooooooooooooooooo...\n15    pppppppppppppppppppppppppppppppppppppppppppppp...\n16    qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq...\n17    rrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrr...\n18    ssssssssssssssssssssssssssssssssssssssssssssss...\n19    tttttttttttttttttttttttttttttttttttttttttttttt...\n20    uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu...\n21    vvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv...\n22    wwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwww...\n23    xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...\n24    yyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyyy...\n25    zzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzz...\ndtype: object\n\nIn [4]: import pickle\n\nIn [5]: len(pickle.dumps(s))\nOut[5]: 26758\n\nIn [6]: len(pickle.dumps(s.astype(\"string[pyarrow]\")))\nOut[6]: 26891\n\nIn [7]: len(pickle.dumps(s.head(5)))\nOut[7]: 5632\n\nIn [8]: len(pickle.dumps(s.astype(\"string[pyarrow]\").head(5)))\nOut[8]: 26891\n```\n\nThis negatively affects dask dataframe operations that cut up pandas dataframes into small pieces, moves them around to different computers, and then pieces them back together again.\n", "memory": "8192m", "runnable": false, "difficulty": "hard", "language": "", "cpus": 1, "instruction_truncated": false, "category": "debugging", "compose": false, "has_solution": true, "oracle": null, "docker_image": "", "taskset": "swegym", "tags": ["debugging", "swe-bench"]}, "runs": []}