=================================== FAILURES =================================== ______________ test_sel_date_scalar_nearest[365_day-sel_kwargs0] _______________ da = <xarray.DataArray (time: 4)> 0002-02-01 00:00:00], dtype='object') sel_kwargs = {'method': 'nearest'} @requires_cftime @pytest.mark.parametrize( "sel_kwargs", [{"method": "nearest"}, {"method": "nearest", "tolerance": timedelta(days=70)}], ) def test_sel_date_scalar_nearest(da, date_type, index, sel_kwargs): expected = xr.DataArray(2).assign_coords(time=index[1]) > result = da.sel(time=date_type(1, 4, 1), **sel_kwargs) xarray/tests/test_cftimeindex.py:460: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ xarray/core/dataarray.py:1056: in sel ds = self._to_temp_dataset().sel( xarray/core/dataset.py:2056: in sel pos_indexers, new_indexes = remap_label_indexers( xarray/core/coordinates.py:391: in remap_label_indexers pos_indexers, new_indexes = indexing.remap_label_indexers( xarray/core/indexing.py:270: in remap_label_indexers idxr, new_idx = convert_label_indexer(index, label, dim, method, tolerance) xarray/core/indexing.py:189: in convert_label_indexer indexer = index.get_loc( xarray/coding/cftimeindex.py:334: in get_loc return pd.Index.get_loc(self, key, method=method, tolerance=tolerance) /usr/share/miniconda/envs/xarray-tests/lib/python3.8/site-packages/pandas/core/indexes/base.py:2899: in get_loc indexer = self.get_indexer([key], method=method, tolerance=tolerance) /usr/share/miniconda/envs/xarray-tests/lib/python3.8/site-packages/pandas/core/indexes/base.py:2992: in get_indexer indexer = self._get_nearest_indexer(target, limit, tolerance) /usr/share/miniconda/envs/xarray-tests/lib/python3.8/site-packages/pandas/core/indexes/base.py:3076: in _get_nearest_indexer left_distances = np.abs(self[left_indexer] - target) xarray/coding/cftimeindex.py:444: in __sub__ return CFTimeIndex(np.array(self) - other) xarray/coding/cftimeindex.py:248: in __new__ assert_all_valid_date_type(data) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ data = TimedeltaIndex(['-59 days'], dtype='timedelta64[ns]', freq=None) def assert_all_valid_date_type(data): import cftime if len(data) > 0: sample = data[0] date_type = type(sample) if not isinstance(sample, cftime.datetime): > raise TypeError( "CFTimeIndex requires cftime.datetime " "objects. Got object of {}.".format(date_type) ) E TypeError: CFTimeIndex requires cftime.datetime objects. Got object of <class 'pandas._libs.tslibs.timedeltas.Timedelta'>. xarray/coding/cftimeindex.py:206: TypeError