BUG: fix Frame getitem when column keys are nested tuples
- [x] closes #43780 
- [x] tests added / passed
- [x] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them
- [ ] whatsnew entry

Multi-column selection when the column labels are nested tuples, for example atomic labels of form `((1,),)` or MultiIndex having tuples at each level as reported in the issue raised error due to a condition in asarray_tuplesafe.

A key list of form `[((1,))]` converts to `[[[1]]]` through the call to np.array, resulting in ndim>2. However, only the case ndim==2 was further handled, causing a multi-dimensional array to be returned and subsequently an error.

This extends the ndim==2 condition for nested-tuple keys, but excludes multi-dimensional arrays so that errors are raised in accordance with [test_getitem_ndarray_3d](https://github.com/pandas-dev/pandas/blob/d30aeeba0c79fb8e4b651a8f528e87c3de8cb898/pandas/tests/indexing/test_indexing.py#L73).



This pull request is stale because it has been open for thirty days with no activity. Please update or respond to this comment if you're still interested in working on this. @Svanazar can you merge master and update to comments Hey, extremely sorry for the delay, this totally slipped my mind.  I'll be staying a bit busy this week, so is it okay if I turn this into a draft and finish it during the next week? (in case the issue doesn't get resolved by then).
I'm really sorry for the long gap. status here? I won't be able to work on this; really sorry for not informing earlier. Should I close the PR?