Abdulaziz Aloqeely

LGTM. @mroeschke would you mind taking a look?

I think what he's saying is that a better fix would be to not treat lists with 1 item as a special case that uses different behavior, and instead fix...

It might very well be broken logic even if it was there for 12 years, funnily enough I just saw [another comment](https://github.com/pandas-dev/pandas/pull/57494#discussion_r1587386787) saying that some broken logic was introduced 13...

So is this a problem with `is_unique` on `MultiIndex`? Do you think it's current behavior makes sense? I think it should return True only if each level has unique values,...

It does seem related to your changes, I've summarized the example in the doc that fails: ```python import pandas as pd left = pd.DataFrame( { "A": ["A0", "A1", "A2", "A3"],...

You can open the doc file which has the errors and go to the error line, run the examples near to that line manually until you see which example causes...

I think so

Thanks for the PR! Sorry that this hasn't been reviewed yet. In the meantime can you fix the merge conflict? cc @datapythonista

This is what I'm seeing: ``` FAILED pandas/tests/extension/test_sparse.py::TestSparseArray::test_isna_returns_copy[0-isna] - ValueError: assignment destination is read-only FAILED pandas/tests/extension/test_sparse.py::TestSparseArray::test_isna_returns_copy[0-notna] - ValueError: assignment destination is read-only FAILED pandas/tests/extension/test_sparse.py::TestSparseArray::test_isna_returns_copy[nan-isna] - ValueError: assignment destination is read-only...

Update: this failure seems to be happening on all PRs, you have nothing to worry about!