Pandas version checks

  • [x] I have checked that this issue has not already been reported.

  • [x] I have confirmed this bug exists on the latest version of pandas.

  • [x] I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

dti = pd.date_range("2016-01-01", periods=3)
arr = dti.astype("timestamp[ns][pyarrow]")

>>> dti.get_indexer(arr)
array([-1, -1, -1])

Issue Description

i suspect the problem is in is_comparable_dtype.

Note this is the underlying issue behind #61231

Expected Behavior

dti.get_indexer(dti) array([0, 1, 2])

Installed Versions

Replace this line with the output of pd.show_versions()