TST: Add missing skips for unavailable pyarrow

[QuLogic]

The all_parsers fixture has this check, but some of the other fixtures were missing it.

• [n/a] closes #xxxx (Replace xxxx with the GitHub issue number)
• Tests added and passed if fixing a bug or adding a new feature
• All code checks passed.
• [n/a] Added type annotations to new arguments/methods/functions.
• Added an entry in the latest doc/source/whatsnew/vX.X.X.rst file if fixing a bug or adding a new feature.

[QuLogic]

Given #54466, this is primarily targeted at getting backported to 2.2.x.

[QuLogic]

I'm only unsure about this one; ArrowDtype is conditionally imported in this file, but I don't know if this should be if pa_version_under10p1 or not isinstance9dtype, ArrowDtype):?

[mroeschke]

I think this this was OK as is?

• If the type wasn't an ArrowDtype this should raise as the wrong type
• If the type was ArrowDtype, a user already needed the correct version of pyarrow as it's validated in the ArrowDtype.__init__

[QuLogic]

Unfortunately, it's not OK as is. ArrowDtype is conditionally imported, so its use here needs to be guarded. Otherwise you get a test failure:

____________________ TestSeriesMisc.test_inspect_getmembers ____________________
[gw0] linux -- Python 3.12.2 /usr/bin/python3
self = <pandas.tests.series.test_api.TestSeriesMisc object at 0xb66af1c8>
    def test_inspect_getmembers(self):
        # GH38782
        pytest.importorskip("jinja2")
        ser = Series(dtype=object)
        msg = "Series._data is deprecated"
        with tm.assert_produces_warning(
            DeprecationWarning, match=msg, check_stacklevel=False
        ):
>           inspect.getmembers(ser)
.../pandas/tests/series/test_api.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/usr/lib/python3.12/inspect.py:607: in getmembers
    return _getmembers(object, predicate, getattr)
/usr/lib/python3.12/inspect.py:585: in _getmembers
    value = getter(object, key)
.../pandas/core/accessor.py:224: in __get__
    accessor_obj = self._accessor(obj)
.../pandas/core/arrays/arrow/accessors.py:73: in __init__
    super().__init__(
.../pandas/core/arrays/arrow/accessors.py:41: in __init__
    self._validate(data)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
self = <pandas.core.arrays.arrow.accessors.ListAccessor object at 0x9924ca38>
data = Series([], dtype: object)
    def _validate(self, data):
        dtype = data.dtype
>       if not isinstance(dtype, ArrowDtype):
E       NameError: name 'ArrowDtype' is not defined
.../pandas/core/arrays/arrow/accessors.py:49: NameError

What I'm unsure of is whether this should raise if (the import condition failed or the type is wrong), or if (the import condition is true and the type is wrong).

[github-actions]

This pull request is stale because it has been open for thirty days with no activity. Please update and respond to this comment if you're still interested in working on this.

[QuLogic]

This isn't waiting for me, AFAICT.

[mroeschke]

Thanks for the pull request, but it appears to have gone stale. If interested in continuing, please merge in the main branch, address any review comments and/or failing tests, and we can reopen.

[QuLogic]

Again, it was waiting for you to reply.

[mroeschke]

OK sorry I missed that. Could you resolve the merge conflict?

[mroeschke]

It appears another PR fixed the problem this PR was trying to solve. Sorry we weren't able to get this in in the meantime, but closing this PR out.