xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_coordinates: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_global_coordinates: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_coordinates_with_space: Failed: DID NOT WARN. No warnings of type (<class 'xarray.coding.common.SerializationWarning'>,) were emitted.
Emitted warnings: [].
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_boolean_dtype: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_orthogonal_indexing: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_vectorized_indexing: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_vectorized_indexing_negative_step: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_outer_indexing_reversed: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_isel_dataarray: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_empty_isel: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_array_type_after_indexing: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_dropna: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_ondisk_after_print: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_bytes_with_fill_value: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_string_with_fill_value_nchar: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_empty_vlen_string_array: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_mask_and_scale[dtype0-create_unsigned_masked_scaled_data-create_encoded_unsigned_masked_scaled_data]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_mask_and_scale[dtype0-create_signed_masked_scaled_data-create_encoded_signed_masked_scaled_data]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_mask_and_scale[dtype0-create_masked_and_scaled_data-create_encoded_masked_and_scaled_data]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_mask_and_scale[dtype1-create_unsigned_masked_scaled_data-create_encoded_unsigned_masked_scaled_data]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_mask_and_scale[dtype1-create_signed_masked_scaled_data-create_encoded_signed_masked_scaled_data]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_mask_and_scale[dtype1-create_masked_and_scaled_data-create_encoded_masked_and_scaled_data]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_unsigned[fill_value0-False]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_unsigned[fill_value1-True]: Failed: DID NOT WARN. No warnings of type (<class 'xarray.coding.common.SerializationWarning'>,) were emitted.
Emitted warnings: [].
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_unsigned[-1-False]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_unsigned[255-True]: Failed: DID NOT WARN. No warnings of type (<class 'xarray.coding.common.SerializationWarning'>,) were emitted.
Emitted warnings: [].
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_grid_mapping_and_bounds_are_not_coordinates_in_file: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_coordinate_variables_after_dataset_roundtrip: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_grid_mapping_and_bounds_are_coordinates_after_dataarray_roundtrip: Failed: DID NOT WARN. No warnings of type (<class 'UserWarning'>,) were emitted.
Emitted warnings: [].
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_coordinates_encoding: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_encoding_kwarg: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_encoding_unlimited_dims: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_encoding_kwarg_dates: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_encoding_kwarg_fixed_width_string: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_default_fill_value: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_explicitly_omit_fill_value: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_explicitly_omit_fill_value_via_encoding_kwarg: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_explicitly_omit_fill_value_in_coord: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_explicitly_omit_fill_value_in_coord_via_encoding_kwarg: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_encoding_same_dtype: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_append_write: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_append_overwrite_values: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_append_with_invalid_dim_raises: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_multiindex_not_implemented: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_string_object_warning: Failed: DID NOT WARN. No warnings of type (<class 'xarray.coding.common.SerializationWarning'>,) were emitted.
Emitted warnings: [].
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_indexing_roundtrip[indexer0]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_indexing_roundtrip[indexer1]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_indexing_roundtrip[indexer2]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_indexing_roundtrip[indexer3]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_indexing_roundtrip[indexer4]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_cross_engine_read_write_netcdf4: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_group_fails: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_cftimeindex_resample.py::test_resample_with_non_tick_resample_freq[None-right-8003D->4001D]: AssertionError: Left and right DataArray objects are not identical
Differing dimensions:
(time: 10) != (time: 9)
Differing values:
L
array([ nan, 100., nan, 101., nan, 102., nan, 103., nan, 104.])
R
array([100., nan, 101., nan, 102., nan, 103., nan, 104.])
Differing coordinates:
L * time (time) datetime64[ns] 80B 1989-01-17 2000-01-01 ... 2087-08-20
R * time (time) datetime64[ns] 72B 2000-01-01 2010-12-15 ... 2087-08-20
Differing indexes:
L time DatetimeIndex(['1989-01-17', '2000-01-01', '2010-12-15', '2021-11-28',
'2032-11-11', '2043-10-26', '2054-10-09', '2065-09-22',
'2076-09-05', '2087-08-20'],
dtype='datetime64[ns]', name='time', freq=None)
R time DatetimeIndex(['2000-01-01', '2010-12-15', '2021-11-28', '2032-11-11',
'2043-10-26', '2054-10-09', '2065-09-22', '2076-09-05',
'2087-08-20'],
dtype='datetime64[ns]', name='time', freq='4001D')
xarray/tests/test_cftimeindex_resample.py::test_resample_with_non_tick_resample_freq[None-right-8003D->16006D]: AssertionError: Left and right DataArray objects are not identical
Differing dimensions:
(time: 4) != (time: 3)
Differing values:
L
array([ nan, 100.5, 102.5, 104. ])
R
array([100.5, 102.5, 104. ])
Differing coordinates:
L * time (time) datetime64[ns] 32B 1956-03-06 2000-01-01 ... 2087-08-24
R * time (time) datetime64[ns] 24B 2000-01-01 2043-10-28 2087-08-24
Differing indexes:
L time DatetimeIndex(['1956-03-06', '2000-01-01', '2043-10-28', '2087-08-24'],
dtype='datetime64[ns]', name='time', freq=None)
R time DatetimeIndex(['2000-01-01', '2043-10-28', '2087-08-24'],
dtype='datetime64[ns]', name='time', freq='16006D')
xarray/tests/test_cftimeindex_resample.py::test_resample_with_non_tick_resample_freq[None-right-3D->D]: AssertionError: Left and right DataArray objects are not identical
Differing dimensions:
(time: 14) != (time: 13)
Differing values:
L
array([ nan, 100., nan, nan, 101., nan, nan, 102., nan, nan, 103., nan,
nan, 104.])
R
array([100., nan, nan, 101., nan, nan, 102., nan, nan, 103., nan, nan,
104.])
Differing coordinates:
L * time (time) datetime64[ns] 112B 1999-12-31 2000-01-01 ... 2000-01-13
R * time (time) datetime64[ns] 104B 2000-01-01 2000-01-02 ... 2000-01-13
Differing indexes:
L time DatetimeIndex(['1999-12-31', '2000-01-01', '2000-01-02', '2000-01-03',
'2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07',
'2000-01-08', '2000-01-09', '2000-01-10', '2000-01-11',
'2000-01-12', '2000-01-13'],
dtype='datetime64[ns]', name='time', freq=None)
R time DatetimeIndex(['2000-01-01', '2000-01-02', '2000-01-03', '2000-01-04',
'2000-01-05', '2000-01-06', '2000-01-07', '2000-01-08',
'2000-01-09', '2000-01-10', '2000-01-11', '2000-01-12',
'2000-01-13'],
dtype='datetime64[ns]', name='time', freq='D')
xarray/tests/test_cftimeindex_resample.py::test_resample_with_non_tick_resample_freq[None-right-3D->6D]: AssertionError: Left and right DataArray objects are not identical
Differing dimensions:
(time: 4) != (time: 3)
Differing values:
L
array([ nan, 100.5, 102.5, 104. ])
R
array([100.5, 102.5, 104. ])
Differing coordinates:
L * time (time) datetime64[ns] 32B 1999-12-26 2000-01-01 ... 2000-01-13
R * time (time) datetime64[ns] 24B 2000-01-01 2000-01-07 2000-01-13
Differing indexes:
L time DatetimeIndex(['1999-12-26', '2000-01-01', '2000-01-07', '2000-01-13'],
dtype='datetime64[ns]', name='time', freq=None)
R time DatetimeIndex(['2000-01-01', '2000-01-07', '2000-01-13'],
dtype='datetime64[ns]', name='time', freq='6D')
xarray/tests/test_cftimeindex_resample.py::test_resample_with_non_tick_resample_freq[None-right-3MS->85D]: AssertionError: Left and right DataArray objects are not identical
Differing dimensions:
(time: 6) != (time: 5)
Differing values:
L
array([ nan, 100., 101., 102., 103., 104.])
R
array([100., 101., 102., 103., 104.])
Differing coordinates:
L * time (time) datetime64[ns] 48B 1999-10-08 2000-01-01 ... 2000-12-06
R * time (time) datetime64[ns] 40B 2000-01-01 2000-03-26 ... 2000-12-06
Differing indexes:
L time DatetimeIndex(['1999-10-08', '2000-01-01', '2000-03-26', '2000-06-19',
'2000-09-12', '2000-12-06'],
dtype='datetime64[ns]', name='time', freq=None)
R time DatetimeIndex(['2000-01-01', '2000-03-26', '2000-06-19', '2000-09-12',
'2000-12-06'],
dtype='datetime64[ns]', name='time', freq='85D')
xarray/tests/test_cftimeindex_resample.py::test_resample_with_non_tick_resample_freq[left-right-8003D->4001D]: AssertionError: Left and right DataArray objects are not identical
Differing dimensions:
(time: 10) != (time: 9)
Differing values:
L
array([ nan, 100., nan, 101., nan, 102., nan, 103., nan, 104.])
R
array([100., nan, 101., nan, 102., nan, 103., nan, 104.])
Differing coordinates:
L * time (time) datetime64[ns] 80B 1989-01-17 2000-01-01 ... 2087-08-20
R * time (time) datetime64[ns] 72B 2000-01-01 2010-12-15 ... 2087-08-20
Differing indexes:
L time DatetimeIndex(['1989-01-17', '2000-01-01', '2010-12-15', '2021-11-28',
'2032-11-11', '2043-10-26', '2054-10-09', '2065-09-22',
'2076-09-05', '2087-08-20'],
dtype='datetime64[ns]', name='time', freq=None)
R time DatetimeIndex(['2000-01-01', '2010-12-15', '2021-11-28', '2032-11-11',
'2043-10-26', '2054-10-09', '2065-09-22', '2076-09-05',
'2087-08-20'],
dtype='datetime64[ns]', name='time', freq='4001D')
xarray/tests/test_cftimeindex_resample.py::test_resample_with_non_tick_resample_freq[left-right-8003D->16006D]: AssertionError: Left and right DataArray objects are not identical
Differing dimensions:
(time: 4) != (time: 3)
Differing values:
L
array([ nan, 100.5, 102.5, 104. ])
R
array([100.5, 102.5, 104. ])
Differing coordinates:
L * time (time) datetime64[ns] 32B 1956-03-06 2000-01-01 ... 2087-08-24
R * time (time) datetime64[ns] 24B 2000-01-01 2043-10-28 2087-08-24
Differing indexes:
L time DatetimeIndex(['1956-03-06', '2000-01-01', '2043-10-28', '2087-08-24'],
dtype='datetime64[ns]', name='time', freq=None)
R time DatetimeIndex(['2000-01-01', '2043-10-28', '2087-08-24'],
dtype='datetime64[ns]', name='time', freq='16006D')
xarray/tests/test_cftimeindex_resample.py::test_resample_with_non_tick_resample_freq[left-right-3D->D]: AssertionError: Left and right DataArray objects are not identical
Differing dimensions:
(time: 14) != (time: 13)
Differing values:
L
array([ nan, 100., nan, nan, 101., nan, nan, 102., nan, nan, 103., nan,
nan, 104.])
R
array([100., nan, nan, 101., nan, nan, 102., nan, nan, 103., nan, nan,
104.])
Differing coordinates:
L * time (time) datetime64[ns] 112B 1999-12-31 2000-01-01 ... 2000-01-13
R * time (time) datetime64[ns] 104B 2000-01-01 2000-01-02 ... 2000-01-13
Differing indexes:
L time DatetimeIndex(['1999-12-31', '2000-01-01', '2000-01-02', '2000-01-03',
'2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07',
'2000-01-08', '2000-01-09', '2000-01-10', '2000-01-11',
'2000-01-12', '2000-01-13'],
dtype='datetime64[ns]', name='time', freq=None)
R time DatetimeIndex(['2000-01-01', '2000-01-02', '2000-01-03', '2000-01-04',
'2000-01-05', '2000-01-06', '2000-01-07', '2000-01-08',
'2000-01-09', '2000-01-10', '2000-01-11', '2000-01-12',
'2000-01-13'],
dtype='datetime64[ns]', name='time', freq='D')
xarray/tests/test_cftimeindex_resample.py::test_resample_with_non_tick_resample_freq[left-right-3D->6D]: AssertionError: Left and right DataArray objects are not identical
Differing dimensions:
(time: 4) != (time: 3)
Differing values:
L
array([ nan, 100.5, 102.5, 104. ])
R
array([100.5, 102.5, 104. ])
Differing coordinates:
L * time (time) datetime64[ns] 32B 1999-12-26 2000-01-01 ... 2000-01-13
R * time (time) datetime64[ns] 24B 2000-01-01 2000-01-07 2000-01-13
Differing indexes:
L time DatetimeIndex(['1999-12-26', '2000-01-01', '2000-01-07', '2000-01-13'],
dtype='datetime64[ns]', name='time', freq=None)
R time DatetimeIndex(['2000-01-01', '2000-01-07', '2000-01-13'],
dtype='datetime64[ns]', name='time', freq='6D')
xarray/tests/test_cftimeindex_resample.py::test_resample_with_non_tick_resample_freq[left-right-3MS->85D]: AssertionError: Left and right DataArray objects are not identical
Differing dimensions:
(time: 6) != (time: 5)
Differing values:
L
array([ nan, 100., 101., 102., 103., 104.])
R
array([100., 101., 102., 103., 104.])
Differing coordinates:
L * time (time) datetime64[ns] 48B 1999-10-08 2000-01-01 ... 2000-12-06
R * time (time) datetime64[ns] 40B 2000-01-01 2000-03-26 ... 2000-12-06
Differing indexes:
L time DatetimeIndex(['1999-10-08', '2000-01-01', '2000-03-26', '2000-06-19',
'2000-09-12', '2000-12-06'],
dtype='datetime64[ns]', name='time', freq=None)
R time DatetimeIndex(['2000-01-01', '2000-03-26', '2000-06-19', '2000-09-12',
'2000-12-06'],
dtype='datetime64[ns]', name='time', freq='85D')
xarray/tests/test_cftimeindex_resample.py::test_resample_with_non_tick_resample_freq[right-right-8003D->4001D]: AssertionError: Left and right DataArray objects are not identical
Differing dimensions:
(time: 10) != (time: 9)
Differing values:
L
array([ nan, 100., nan, 101., nan, 102., nan, 103., nan, 104.])
R
array([100., nan, 101., nan, 102., nan, 103., nan, 104.])
Differing coordinates:
L * time (time) datetime64[ns] 80B 2000-01-01 2010-12-15 ... 2098-08-03
R * time (time) datetime64[ns] 72B 2010-12-15 2021-11-28 ... 2098-08-03
Differing indexes:
L time DatetimeIndex(['2000-01-01', '2010-12-15', '2021-11-28', '2032-11-11',
'2043-10-26', '2054-10-09', '2065-09-22', '2076-09-05',
'2087-08-20', '2098-08-03'],
dtype='datetime64[ns]', name='time', freq=None)
R time DatetimeIndex(['2010-12-15', '2021-11-28', '2032-11-11', '2043-10-26',
'2054-10-09', '2065-09-22', '2076-09-05', '2087-08-20',
'2098-08-03'],
dtype='datetime64[ns]', name='time', freq='4001D')
xarray/tests/test_cftimeindex_resample.py::test_resample_with_non_tick_resample_freq[right-right-8003D->16006D]: AssertionError: Left and right DataArray objects are not identical
Differing dimensions:
(time: 4) != (time: 3)
Differing values:
L
array([ nan, 100.5, 102.5, 104. ])
R
array([100.5, 102.5, 104. ])
Differing coordinates:
L * time (time) datetime64[ns] 32B 2000-01-01 2043-10-28 ... 2131-06-21
R * time (time) datetime64[ns] 24B 2043-10-28 2087-08-24 2131-06-21
Differing indexes:
L time DatetimeIndex(['2000-01-01', '2043-10-28', '2087-08-24', '2131-06-21'],
dtype='datetime64[ns]', name='time', freq=None)
R time DatetimeIndex(['2043-10-28', '2087-08-24', '2131-06-21'],
dtype='datetime64[ns]', name='time', freq='16006D')
xarray/tests/test_cftimeindex_resample.py::test_resample_with_non_tick_resample_freq[right-right-3D->D]: AssertionError: Left and right DataArray objects are not identical
Differing dimensions:
(time: 14) != (time: 13)
Differing values:
L
array([ nan, 100., nan, nan, 101., nan, nan, 102., nan, nan, 103., nan,
nan, 104.])
R
array([100., nan, nan, 101., nan, nan, 102., nan, nan, 103., nan, nan,
104.])
Differing coordinates:
L * time (time) datetime64[ns] 112B 2000-01-01 2000-01-02 ... 2000-01-14
R * time (time) datetime64[ns] 104B 2000-01-02 2000-01-03 ... 2000-01-14
Differing indexes:
L time DatetimeIndex(['2000-01-01', '2000-01-02', '2000-01-03', '2000-01-04',
'2000-01-05', '2000-01-06', '2000-01-07', '2000-01-08',
'2000-01-09', '2000-01-10', '2000-01-11', '2000-01-12',
'2000-01-13', '2000-01-14'],
dtype='datetime64[ns]', name='time', freq=None)
R time DatetimeIndex(['2000-01-02', '2000-01-03', '2000-01-04', '2000-01-05',
'2000-01-06', '2000-01-07', '2000-01-08', '2000-01-09',
'2000-01-10', '2000-01-11', '2000-01-12', '2000-01-13',
'2000-01-14'],
dtype='datetime64[ns]', name='time', freq='D')
xarray/tests/test_cftimeindex_resample.py::test_resample_with_non_tick_resample_freq[right-right-3D->6D]: AssertionError: Left and right DataArray objects are not identical
Differing dimensions:
(time: 4) != (time: 3)
Differing values:
L
array([ nan, 100.5, 102.5, 104. ])
R
array([100.5, 102.5, 104. ])
Differing coordinates:
L * time (time) datetime64[ns] 32B 2000-01-01 2000-01-07 ... 2000-01-19
R * time (time) datetime64[ns] 24B 2000-01-07 2000-01-13 2000-01-19
Differing indexes:
L time DatetimeIndex(['2000-01-01', '2000-01-07', '2000-01-13', '2000-01-19'],
dtype='datetime64[ns]', name='time', freq=None)
R time DatetimeIndex(['2000-01-07', '2000-01-13', '2000-01-19'],
dtype='datetime64[ns]', name='time', freq='6D')
xarray/tests/test_cftimeindex_resample.py::test_resample_with_non_tick_resample_freq[right-right-3MS->85D]: AssertionError: Left and right DataArray objects are not identical
Differing dimensions:
(time: 6) != (time: 5)
Differing values:
L
array([ nan, 100., 101., 102., 103., 104.])
R
array([100., 101., 102., 103., 104.])
Differing coordinates:
L * time (time) datetime64[ns] 48B 2000-01-01 2000-03-26 ... 2001-03-01
R * time (time) datetime64[ns] 40B 2000-03-26 2000-06-19 ... 2001-03-01
Differing indexes:
L time DatetimeIndex(['2000-01-01', '2000-03-26', '2000-06-19', '2000-09-12',
'2000-12-06', '2001-03-01'],
dtype='datetime64[ns]', name='time', freq=None)
R time DatetimeIndex(['2000-03-26', '2000-06-19', '2000-09-12', '2000-12-06',
'2001-03-01'],
dtype='datetime64[ns]', name='time', freq='85D')
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_zero_dimensional_variable: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_write_store: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_test_data: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_load: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_dataset_compute: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_pickle: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_pickle_dataarray: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_dataset_caching: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_None_variable: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_object_dtype: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_string_data: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_stringdtype_data: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_stringdtype_nulls: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_stringdtype_with_na_object: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_string_encoded_characters: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_numpy_datetime_data: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_cftime_datetime_data: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_timedelta_data: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_timedelta_data_via_dtype[s]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_timedelta_data_via_dtype[ms]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_timedelta_data_via_dtype[us]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_timedelta_data_via_dtype[ns]: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_backends.py::TestNetCDF4ClassicViaH5NetCDFData::test_roundtrip_float64_data: ModuleNotFoundError: No module named 'h5netcdf'
xarray/tests/test_duck_array_ops.py::test_reduce[None-False-min-False-bool-1]: AssertionError: Left and right DataArray objects are not close
Differing values:
L
array(False)
R
array(nan)
xarray/tests/test_duck_array_ops.py::test_reduce[None-False-min-False-bool-2]: AssertionError: Left and right DataArray objects are not close
Differing values:
L
array(False)
R
array(nan)
xarray/tests/test_duck_array_ops.py::test_reduce[None-False-max-False-bool-1]: AssertionError: Left and right DataArray objects are not close
Differing values:
L
array(False)
R
array(nan)
xarray/tests/test_duck_array_ops.py::test_reduce[None-False-max-False-bool-2]: AssertionError: Left and right DataArray objects are not close
Differing values:
L
array(False)
R
array(nan)
xarray/tests/test_duck_array_ops.py::test_reduce[x-False-min-False-bool-1]: AssertionError: Left and right DataArray objects are not close
Differing values:
L
array(False)
R
array(nan)
xarray/tests/test_duck_array_ops.py::test_reduce[x-False-min-False-bool-2]: AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([False, False, False, False, nan, False, False, False], dtype=object)
R
array([nan, nan, nan, nan, nan, nan, nan, nan])
xarray/tests/test_duck_array_ops.py::test_reduce[x-False-max-False-bool-1]: AssertionError: Left and right DataArray objects are not close
Differing values:
L
array(False)
R
array(nan)
xarray/tests/test_duck_array_ops.py::test_reduce[x-False-max-False-bool-2]: AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([False, False, False, False, nan, False, False, False], dtype=object)
R
array([nan, nan, nan, nan, nan, nan, nan, nan])
xarray/tests/test_variable.py::TestAsCompatibleData::test_tz_datetime: pandas.errors.Pandas4Warning: Series.values returning an ndarray that drops timezone information for DatetimeTZDtype is deprecated. In a future version, this will return the underlying DatetimeArray instead. Use 'Series.to_numpy()' to get a NumPy array, or 'Series.array' to get the ExtensionArray.
xarray/tests/test_variable.py::test_datetime_conversion[0 2000-01-01 00:00:00-05:00\ndtype: datetime64[ns, America/New_York]-ns]: pandas.errors.Pandas4Warning: Series.values returning an ndarray that drops timezone information for DatetimeTZDtype is deprecated. In a future version, this will return the underlying DatetimeArray instead. Use 'Series.to_numpy()' to get a NumPy array, or 'Series.array' to get the ExtensionArray.
xarray/tests/test_variable.py::test_pandas_two_only_datetime_conversion_warnings[series-timezone]: pandas.errors.Pandas4Warning: Series.values returning an ndarray that drops timezone information for DatetimeTZDtype is deprecated. In a future version, this will return the underlying DatetimeArray instead. Use 'Series.to_numpy()' to get a NumPy array, or 'Series.array' to get the ExtensionArray.
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Python 3.13 Test Summary