issues: 856831600

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
856831600 MDU6SXNzdWU4NTY4MzE2MDA= 5147 failing CI due to CFTimeIndex errors 14808389 closed 0     0 2021-04-13T10:40:17Z 2021-04-14T13:27:10Z 2021-04-14T13:27:10Z MEMBER      

the normal CI started to fail: FAILED xarray/tests/test_cftimeindex.py::test_distant_cftime_datetime_sub_cftimeindex[365_day] FAILED xarray/tests/test_cftimeindex.py::test_distant_cftime_datetime_sub_cftimeindex[360_day] FAILED xarray/tests/test_cftimeindex.py::test_distant_cftime_datetime_sub_cftimeindex[julian] FAILED xarray/tests/test_cftimeindex.py::test_distant_cftime_datetime_sub_cftimeindex[all_leap] FAILED xarray/tests/test_cftimeindex.py::test_distant_cftime_datetime_sub_cftimeindex[366_day] FAILED xarray/tests/test_cftimeindex.py::test_distant_cftime_datetime_sub_cftimeindex[gregorian] FAILED xarray/tests/test_cftimeindex.py::test_distant_cftime_datetime_sub_cftimeindex[proleptic_gregorian]

traceback ```pytb [gw2] linux -- Python 3.9.2 /usr/share/miniconda/envs/xarray-tests/bin/python > ??? E TypeError: Expected unicode, got datetime.timedelta pandas/_libs/tslibs/timedeltas.pyx:264: TypeError During handling of the above exception, another exception occurred: calendar = 'proleptic_gregorian' @requires_cftime @pytest.mark.parametrize("calendar", _CFTIME_CALENDARS) def test_distant_cftime_datetime_sub_cftimeindex(calendar): a = xr.cftime_range("2000", periods=5, calendar=calendar) with pytest.raises(ValueError, match="difference exceeds"): > a.date_type(1, 1, 1) - a /home/runner/work/xarray/xarray/xarray/tests/test_cftimeindex.py:833: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /home/runner/work/xarray/xarray/xarray/coding/cftimeindex.py:581: in __rsub__ return pd.TimedeltaIndex(other - np.array(self)) /usr/share/miniconda/envs/xarray-tests/lib/python3.9/site-packages/pandas/core/indexes/timedeltas.py:155: in __new__ tdarr = TimedeltaArray._from_sequence_not_strict( /usr/share/miniconda/envs/xarray-tests/lib/python3.9/site-packages/pandas/core/arrays/timedeltas.py:250: in _from_sequence_not_strict data, inferred_freq = sequence_to_td64ns(data, copy=copy, unit=unit) /usr/share/miniconda/envs/xarray-tests/lib/python3.9/site-packages/pandas/core/arrays/timedeltas.py:957: in sequence_to_td64ns data = objects_to_td64ns(data, unit=unit, errors=errors) /usr/share/miniconda/envs/xarray-tests/lib/python3.9/site-packages/pandas/core/arrays/timedeltas.py:1067: in objects_to_td64ns result = array_to_timedelta64(values, unit=unit, errors=errors) pandas/_libs/tslibs/timedeltas.pyx:269: in pandas._libs.tslibs.timedeltas.array_to_timedelta64 ??? pandas/_libs/tslibs/timedeltas.pyx:222: in pandas._libs.tslibs.timedeltas.convert_to_timedelta64 ??? _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E OverflowError: Python int too large to convert to C long pandas/_libs/tslibs/timedeltas.pyx:167: OverflowError ```

This seems to coincide with the release of pandas=1.2.4, and this is indeed the only difference in the environment (I didn't try to reproduce, though).

cc @spencerkclark

 
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