BUG: Failing tests on `pyarrow_nightly` CI

[amithkk]

Pandas version checks

• I have checked that this issue has not already been reported.
• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

When running CI against the code currently on the main branch, a couple of tests on the pyarrow_nightly suite seems to be failing:

_______________ TestArrowArray.test_fillna_series[duration[s]] ________________
[gw1] linux -- Python 3.11.4 /home/runner/micromamba/envs/test/bin/python3.11

self = <pandas.tests.extension.test_arrow.TestArrowArray object at 0x7facf9479000>
data_missing = <ArrowExtensionArray>
[<NA>, Timedelta('1 days 00:00:00')]
Length: 2, dtype: duration[s][pyarrow]

    def test_fillna_series(self, data_missing):
        fill_value = data_missing[1]
        ser = pd.Series(data_missing)
    
        result = ser.fillna(fill_value)
        expected = pd.Series(
            data_missing._from_sequence(
                [fill_value, fill_value], dtype=data_missing.dtype
            )
        )
>       tm.assert_series_equal(result, expected)

pandas/tests/extension/base/missing.py:111: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_testing/asserters.py:777: in assert_extension_array_equal
    _testing.assert_almost_equal(
testing.pyx:55: in pandas._libs.testing.assert_almost_equal
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   AssertionError: Series are different
E   
E   Series values are different (50.0 %)
E   [index]: [0, 1]
E   [left]:  [0 days 00:00:00, 1 days 00:00:00]
E   [right]: [1 days 00:00:00, 1 days 00:00:00]
E   At positional index 0, first diff: 0 days 00:00:00 != 1 days 00:00:00

testing.pyx:173: AssertionError
_______________ TestArrowArray.test_fillna_series[duration[ms]] ________________
[gw1] linux -- Python 3.11.4 /home/runner/micromamba/envs/test/bin/python3.11

self = <pandas.tests.extension.test_arrow.TestArrowArray object at 0x7facf94791e0>
data_missing = <ArrowExtensionArray>
[<NA>, Timedelta('1 days 00:00:00')]
Length: 2, dtype: duration[ms][pyarrow]

    def test_fillna_series(self, data_missing):
        fill_value = data_missing[1]
        ser = pd.Series(data_missing)
    
        result = ser.fillna(fill_value)
        expected = pd.Series(
            data_missing._from_sequence(
                [fill_value, fill_value], dtype=data_missing.dtype
            )
        )
>       tm.assert_series_equal(result, expected)

pandas/tests/extension/base/missing.py:111: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_testing/asserters.py:777: in assert_extension_array_equal
    _testing.assert_almost_equal(
testing.pyx:55: in pandas._libs.testing.assert_almost_equal
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   AssertionError: Series are different
E   
E   Series values are different (50.0 %)
E   [index]: [0, 1]
E   [left]:  [0 days 00:00:00, 1 days 00:00:00]
E   [right]: [1 days 00:00:00, 1 days 00:00:00]
E   At positional index 0, first diff: 0 days 00:00:00 != 1 days 00:00:00

testing.pyx:173: AssertionError
________________ TestArrowArray.test_fillna_frame[duration[s]] _________________
[gw1] linux -- Python 3.11.4 /home/runner/micromamba/envs/test/bin/python3.11

self = <pandas.tests.extension.test_arrow.TestArrowArray object at 0x7facf94eb300>
data_missing = <ArrowExtensionArray>
[<NA>, Timedelta('1 days 00:00:00')]
Length: 2, dtype: duration[s][pyarrow]

    def test_fillna_frame(self, data_missing):
        fill_value = data_missing[1]
    
        result = pd.DataFrame({"A": data_missing, "B": [1, 2]}).fillna(fill_value)
    
        expected = pd.DataFrame(
            {
                "A": data_missing._from_sequence(
                    [fill_value, fill_value], dtype=data_missing.dtype
                ),
                "B": [1, 2],
            }
        )
    
>       tm.assert_frame_equal(result, expected)

pandas/tests/extension/base/missing.py:150: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_testing/asserters.py:777: in assert_extension_array_equal
    _testing.assert_almost_equal(
testing.pyx:55: in pandas._libs.testing.assert_almost_equal
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   AssertionError: DataFrame.iloc[:, 0] (column name="A") are different
E   
E   DataFrame.iloc[:, 0] (column name="A") values are different (50.0 %)
E   [index]: [0, 1]
E   [left]:  [0 days 00:00:00, 1 days 00:00:00]
E   [right]: [1 days 00:00:00, 1 days 00:00:00]
E   At positional index 0, first diff: 0 days 00:00:00 != 1 days 00:00:00

testing.pyx:173: AssertionError
________________ TestArrowArray.test_fillna_frame[duration[ms]] ________________
[gw1] linux -- Python 3.11.4 /home/runner/micromamba/envs/test/bin/python3.11

self = <pandas.tests.extension.test_arrow.TestArrowArray object at 0x7facf94eb4e0>
data_missing = <ArrowExtensionArray>
[<NA>, Timedelta('1 days 00:00:00')]
Length: 2, dtype: duration[ms][pyarrow]

    def test_fillna_frame(self, data_missing):
        fill_value = data_missing[1]
    
        result = pd.DataFrame({"A": data_missing, "B": [1, 2]}).fillna(fill_value)
    
        expected = pd.DataFrame(
            {
                "A": data_missing._from_sequence(
                    [fill_value, fill_value], dtype=data_missing.dtype
                ),
                "B": [1, 2],
            }
        )
    
>       tm.assert_frame_equal(result, expected)

pandas/tests/extension/base/missing.py:150: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
pandas/_testing/asserters.py:777: in assert_extension_array_equal
    _testing.assert_almost_equal(
testing.pyx:55: in pandas._libs.testing.assert_almost_equal
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   AssertionError: DataFrame.iloc[:, 0] (column name="A") are different
E   
E   DataFrame.iloc[:, 0] (column name="A") values are different (50.0 %)
E   [index]: [0, 1]
E   [left]:  [0 days 00:00:00, 1 days 00:00:00]
E   [right]: [1 days 00:00:00, 1 days 00:00:00]
E   At positional index 0, first diff: 0 days 00:00:00 != 1 days 00:00:00

testing.pyx:173: AssertionError

See logs from a fork I created to verify that this error exists on the main branch

Issue Description

I noticed this initially on a PR that I raised earlier (#54643). Since the PR doesn't touch any functionality that would potentially cause that test to break, I tested it on a copy of the main branch and could reproduce it.

This also seems to be failing on other PR CI Builds that have run today:

• Removes None type from max_info_rows #54652 (Details)
• BUG: _apply_rule() ignores tz info on an empty list of observances #54655 (Details)
• Updated documentation for pandas.DataFrame.map #54649 (Details)

Expected Behavior

The tests pass

Installed Versions

Version built from main(9d70a49)

[rsm-23]

+1

[DarthKitten2130]

Thanks for pointing this out I was wondering why my PR for documentation would fail a pyarrow test

[roadswitcher]

Thanks for catching this, I was momentarily confused.

[amithkk]

Confirmed to be caused by upstream issue apache/arrow#37291 (Thanks! @mroeschke)