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Description
Python 3.12 Test Summary
xarray/tests/test_backends.py::TestPydap::test_cmp_local_file: AssertionError: Left and right Dataset objects are not equal
Differing data variables:
L bears (i, j) <U3 72B 'ind' 'ist' 'ing' 'uis' 'hab' 'le'
R bears (i, j) |S4 24B b'ind' b'ist' b'ing' b'uis' b'hab' b'le'
xarray/tests/test_backends.py::TestPydap::test_dask: AssertionError: Left and right Dataset objects are not equal
Differing data variables:
L bears (i, j) <U3 72B 'ind' 'ist' 'ing' 'uis' 'hab' 'le'
R bears (i, j) |S4 24B b'ind' b'ist' b'ing' b'uis' b'hab' b'le'
xarray/tests/test_backends_datatree.py::TestZarrDatatreeIO::test_to_zarr[zarr_format=2]: AssertionError: Left and right DataTree objects are not equal
Data at node 'set1' does not match:
Differing data variables:
L a int64 8B 0
R a float64 8B nan
xarray/tests/test_backends_datatree.py::TestZarrDatatreeIO::test_to_zarr_zip_store[2 failing variants]: ValueError: Store is not read-only but mode is 'r'. Unable to create a read-only copy of the store. Please use a read-only store or a storage class that implements .with_read_only().
xarray/tests/test_backends_datatree.py::TestZarrDatatreeIO::test_to_zarr_not_consolidated[zarr_format=2]: AssertionError: Left and right DataTree objects are not equal
Data at node 'set1' does not match:
Differing data variables:
L a int64 8B 0
R a float64 8B nan
xarray/tests/test_backends_datatree.py::TestZarrDatatreeIO::test_open_datatree_chunks[zarr_format=2]: AssertionError: Left and right DataTree objects are not identical
Data at node 'group1' does not match:
Differing data variables:
L a (y) float64 24B dask.array<chunksize=(1,), meta=np.ndarray>
R a (y) int64 24B dask.array<chunksize=(1,), meta=np.ndarray>
xarray/tests/test_backends.py::TestZarrDictStore::test_zero_dimensional_variable[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDictStore::test_write_store[2]: AssertionError: Left and right Dataset objects are not close
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B ...
xarray/tests/test_backends.py::TestZarrDictStore::test_roundtrip_test_data[2]: AssertionError: assert (dtype('int64') == dtype('float64') or ('i' in {'O', 'S', 'U'}))
+ where 'i' = dtype('int64').kind
xarray/tests/test_backends.py::TestZarrDictStore::test_load[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDictStore::test_dataset_compute[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDictStore::test_roundtrip_None_variable[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L None (x, y) int64 32B 0 1 2 3
R None (x, y) float64 32B nan 1.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDictStore::test_roundtrip_object_dtype[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrDictStore::test_roundtrip_numpy_datetime_data[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * t (t) datetime64[ns] 24B 2000-01-01 2000-01-02 NaT
R * t (t) datetime64[ns] 24B NaT 2000-01-02 NaT
xarray/tests/test_backends.py::TestZarrDictStore::test_roundtrip_cftime_datetime_data[2]: ValueError: Failed to decode variable 't': unable to decode time units 'days since 0001-01-01 00:00:00.000000' with "calendar 'noleap'". Try opening your dataset with decode_times=False or installing cftime if it is not installed.
xarray/tests/test_backends.py::TestZarrDictStore::test_roundtrip_coordinates[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L foo (x) int64 16B 0 1
R foo (x) float64 16B nan 1.0
xarray/tests/test_backends.py::TestZarrDictStore::test_roundtrip_global_coordinates[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L foo (x) int64 16B 0 1
R foo (x) float64 16B nan 1.0
xarray/tests/test_backends.py::TestZarrDictStore::test_roundtrip_coordinates_with_space[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L x int64 8B 0
R x float64 8B nan
xarray/tests/test_backends.py::TestZarrDictStore::test_roundtrip_boolean_dtype[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L x (t) bool 4B True False False True
R x (t) bool 4B True True True True
xarray/tests/test_backends.py::TestZarrDictStore::test_orthogonal_indexing[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 40B 0 1 2 0 0
R numbers (dim3) float64 40B nan 1.0 2.0 nan nan
xarray/tests/test_backends.py::TestZarrDictStore::test_vectorized_indexing[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDictStore::test_vectorized_indexing_negative_step[2]: AssertionError: Left and right DataArray objects are not identical
Differing coordinates:
L numbers (dim3) int64 64B 3 2 2 1 1 0 0 2
R numbers (dim3) float64 64B 3.0 2.0 2.0 1.0 1.0 nan nan 2.0
xarray/tests/test_backends.py::TestZarrDictStore::test_isel_dataarray[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDictStore::test_array_type_after_indexing[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 40B 0 1 2 0 0
R numbers (dim3) float64 40B nan 1.0 2.0 nan nan
xarray/tests/test_backends.py::TestZarrDictStore::test_dropna[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * y (y) int64 32B 0 1 2 3
R * y (y) float64 32B nan 1.0 2.0 3.0
L * x (x) int64 16B 0 2
R * x (x) float64 16B nan 2.0
xarray/tests/test_backends.py::TestZarrDictStore::test_coordinate_variables_after_dataset_roundtrip[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * latitude (latitude) float64 16B nan 1.0
R * latitude (latitude) int64 16B 0 1
L * longitude (longitude) float64 16B nan 1.0
R * longitude (longitude) int64 16B 0 1
L latitude_bnds (latitude, bnds2) float64 32B nan 1.0 1.0 2.0
R latitude_bnds (latitude, bnds2) int64 32B 0 1 1 2
L longitude_bnds (longitude, bnds2) float64 32B nan 1.0 1.0 2.0
R longitude_bnds (longitude, bnds2) int64 32B 0 1 1 2
xarray/tests/test_backends.py::TestZarrDictStore::test_grid_mapping_and_bounds_are_coordinates_after_dataarray_roundtrip[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * latitude (latitude) float64 16B nan 1.0
R * latitude (latitude) int64 16B 0 1
L * longitude (longitude) float64 16B nan 1.0
R * longitude (longitude) int64 16B 0 1
xarray/tests/test_backends.py::TestZarrDictStore::test_coordinates_encoding[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L temp (x) float64 16B nan 1.0
R temp (x) int64 16B 0 1
L precip (x) float64 16B nan -1.0
R precip (x) int64 16B 0 -1
xarray/tests/test_backends.py::TestZarrDictStore::test_default_fill_value[2]: AssertionError: assert '_FillValue' not in {'_FillValue': np.int16(0), 'chunks': (10,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<i2'), ...}
+ where {'_FillValue': np.int16(0), 'chunks': (10,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<i2'), ...} = <xarray.DataArray 'x' (y: 10)> Size: 40B\n[10 values with dtype=float32]\nDimensions without coordinates: y.encoding
+ where <xarray.DataArray 'x' (y: 10)> Size: 40B\n[10 values with dtype=float32]\nDimensions without coordinates: y = <xarray.Dataset> Size: 40B\nDimensions: (y: 10)\nDimensions without coordinates: y\nData variables:\n x (y) float32 40B ....x
xarray/tests/test_backends.py::TestZarrDictStore::test_explicitly_omit_fill_value[2]: AssertionError: assert '_FillValue' not in {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...}
+ where {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...} = <xarray.DataArray 'x' (y: 2)> Size: 16B\n[2 values with dtype=float64]\nDimensions without coordinates: y.encoding
+ where <xarray.DataArray 'x' (y: 2)> Size: 16B\n[2 values with dtype=float64]\nDimensions without coordinates: y = <xarray.Dataset> Size: 16B\nDimensions: (y: 2)\nDimensions without coordinates: y\nData variables:\n x (y) float64 16B ....x
xarray/tests/test_backends.py::TestZarrDictStore::test_explicitly_omit_fill_value_via_encoding_kwarg[2]: AssertionError: assert '_FillValue' not in {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...}
+ where {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...} = <xarray.DataArray 'x' (y: 2)> Size: 16B\n[2 values with dtype=float64]\nDimensions without coordinates: y.encoding
+ where <xarray.DataArray 'x' (y: 2)> Size: 16B\n[2 values with dtype=float64]\nDimensions without coordinates: y = <xarray.Dataset> Size: 16B\nDimensions: (y: 2)\nDimensions without coordinates: y\nData variables:\n x (y) float64 16B ....x
xarray/tests/test_backends.py::TestZarrDictStore::test_explicitly_omit_fill_value_in_coord[2]: AssertionError: assert '_FillValue' not in {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...}
+ where {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...} = <xarray.DataArray 'y' (y: 2)> Size: 16B\narray([nan, 1.])\nCoordinates:\n * y (y) float64 16B nan 1.0.encoding
+ where <xarray.DataArray 'y' (y: 2)> Size: 16B\narray([nan, 1.])\nCoordinates:\n * y (y) float64 16B nan 1.0 = <xarray.Dataset> Size: 32B\nDimensions: (y: 2)\nCoordinates:\n * y (y) float64 16B nan 1.0\nData variables:\n x (y) float64 16B ....y
xarray/tests/test_backends.py::TestZarrDictStore::test_explicitly_omit_fill_value_in_coord_via_encoding_kwarg[2]: AssertionError: assert '_FillValue' not in {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...}
+ where {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...} = <xarray.DataArray 'y' (y: 2)> Size: 16B\narray([nan, 1.])\nCoordinates:\n * y (y) float64 16B nan 1.0.encoding
+ where <xarray.DataArray 'y' (y: 2)> Size: 16B\narray([nan, 1.])\nCoordinates:\n * y (y) float64 16B nan 1.0 = <xarray.Dataset> Size: 32B\nDimensions: (y: 2)\nCoordinates:\n * y (y) float64 16B nan 1.0\nData variables:\n x (y) float64 16B ....y
xarray/tests/test_backends.py::TestZarrDictStore::test_append_overwrite_values[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDictStore::test_string_object_warning[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrDictStore::test_roundtrip_consolidated[3 failing variants]: AssertionError: assert (dtype('int64') == dtype('float64') or ('i' in {'O', 'S', 'U'}))
+ where 'i' = dtype('int64').kind
xarray/tests/test_backends.py::TestZarrDictStore::test_read_non_consolidated_warning[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
R * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
L numbers (dim3) float64 80B dask.array<chunksize=(10,), meta=np.ndarray>
R numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
xarray/tests/test_backends.py::TestZarrDictStore::test_non_existent_store[2]: AssertionError: Regex pattern did not match.
Regex: '(No such file or directory|Unable to find group)'
Input: "No group found in store '/tmp/pytest-of-runner/pytest-0/popen-gw0/test_non_existent_store_2_0/531b8cae-3165-44ea-85c3-309e5971c5bd' at path ''"
xarray/tests/test_backends.py::TestZarrDictStore::test_write_persistence_modes[2 failing variants]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDictStore::test_group[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDictStore::test_append_write[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDictStore::test_append_string_length_mismatch_raises[2 failing variants]: Failed: DID NOT RAISE <class 'ValueError'>
xarray/tests/test_backends.py::TestZarrDictStore::test_check_encoding_is_consistent_after_append[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrDictStore::test_append_with_new_variable[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrDictStore::test_append_with_append_dim_no_overwrite[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrDictStore::test_to_zarr_compute_false_roundtrip[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B dask.array<chunksize=(10,), meta=np.ndarray>
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDictStore::test_to_zarr_append_compute_false_roundtrip[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrDictStore::test_write_region_errors[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L u (x) float64 40B nan 1.0 2.0 3.0 4.0
R u (x) int64 40B 0 1 2 3 4
xarray/tests/test_backends.py::TestZarrDictStore::test_encoding_chunksizes[2]: AssertionError: Left and right Dataset objects are not equal
Differing coordinates:
L * t (t) float64 40B nan 1.0 2.0 3.0 4.0
R * t (t) int64 40B 0 1 2 3 4
L * y (y) float64 32B nan 1.0 2.0 3.0
R * y (y) int64 32B 0 1 2 3
L * x (x) float64 32B nan 1.0 2.0 3.0
R * x (x) int64 32B 0 1 2 3
xarray/tests/test_backends.py::TestZarrDictStore::test_open_zarr_use_cftime[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B dask.array<chunksize=(10,), meta=np.ndarray>
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_zero_dimensional_variable[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_write_store[2]: AssertionError: Left and right Dataset objects are not close
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B ...
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_roundtrip_test_data[2]: AssertionError: assert (dtype('int64') == dtype('float64') or ('i' in {'O', 'S', 'U'}))
+ where 'i' = dtype('int64').kind
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_load[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_dataset_compute[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_roundtrip_None_variable[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L None (x, y) int64 32B 0 1 2 3
R None (x, y) float64 32B nan 1.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_roundtrip_object_dtype[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_roundtrip_numpy_datetime_data[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * t (t) datetime64[ns] 24B 2000-01-01 2000-01-02 NaT
R * t (t) datetime64[ns] 24B NaT 2000-01-02 NaT
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_roundtrip_cftime_datetime_data[2]: ValueError: Failed to decode variable 't': unable to decode time units 'days since 0001-01-01 00:00:00.000000' with "calendar 'noleap'". Try opening your dataset with decode_times=False or installing cftime if it is not installed.
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_roundtrip_coordinates[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L foo (x) int64 16B 0 1
R foo (x) float64 16B nan 1.0
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_roundtrip_global_coordinates[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L foo (x) int64 16B 0 1
R foo (x) float64 16B nan 1.0
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_roundtrip_coordinates_with_space[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L x int64 8B 0
R x float64 8B nan
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_roundtrip_boolean_dtype[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L x (t) bool 4B True False False True
R x (t) bool 4B True True True True
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_orthogonal_indexing[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 40B 0 1 2 0 0
R numbers (dim3) float64 40B nan 1.0 2.0 nan nan
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_vectorized_indexing[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_vectorized_indexing_negative_step[2]: AssertionError: Left and right DataArray objects are not identical
Differing coordinates:
L numbers (dim3) int64 64B 3 2 2 1 1 0 0 2
R numbers (dim3) float64 64B 3.0 2.0 2.0 1.0 1.0 nan nan 2.0
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_isel_dataarray[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_array_type_after_indexing[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 40B 0 1 2 0 0
R numbers (dim3) float64 40B nan 1.0 2.0 nan nan
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_dropna[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * x (x) int64 16B 0 2
R * x (x) float64 16B nan 2.0
L * y (y) int64 32B 0 1 2 3
R * y (y) float64 32B nan 1.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_coordinate_variables_after_dataset_roundtrip[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * latitude (latitude) float64 16B nan 1.0
R * latitude (latitude) int64 16B 0 1
L * longitude (longitude) float64 16B nan 1.0
R * longitude (longitude) int64 16B 0 1
L latitude_bnds (latitude, bnds2) float64 32B nan 1.0 1.0 2.0
R latitude_bnds (latitude, bnds2) int64 32B 0 1 1 2
L longitude_bnds (longitude, bnds2) float64 32B nan 1.0 1.0 2.0
R longitude_bnds (longitude, bnds2) int64 32B 0 1 1 2
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_grid_mapping_and_bounds_are_coordinates_after_dataarray_roundtrip[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * latitude (latitude) float64 16B nan 1.0
R * latitude (latitude) int64 16B 0 1
L * longitude (longitude) float64 16B nan 1.0
R * longitude (longitude) int64 16B 0 1
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_coordinates_encoding[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L temp (x) float64 16B nan 1.0
R temp (x) int64 16B 0 1
L precip (x) float64 16B nan -1.0
R precip (x) int64 16B 0 -1
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_default_fill_value[2]: AssertionError: assert '_FillValue' not in {'_FillValue': np.int16(0), 'chunks': (10,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<i2'), ...}
+ where {'_FillValue': np.int16(0), 'chunks': (10,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<i2'), ...} = <xarray.DataArray 'x' (y: 10)> Size: 40B\n[10 values with dtype=float32]\nDimensions without coordinates: y.encoding
+ where <xarray.DataArray 'x' (y: 10)> Size: 40B\n[10 values with dtype=float32]\nDimensions without coordinates: y = <xarray.Dataset> Size: 40B\nDimensions: (y: 10)\nDimensions without coordinates: y\nData variables:\n x (y) float32 40B ....x
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_explicitly_omit_fill_value[2]: AssertionError: assert '_FillValue' not in {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...}
+ where {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...} = <xarray.DataArray 'x' (y: 2)> Size: 16B\n[2 values with dtype=float64]\nDimensions without coordinates: y.encoding
+ where <xarray.DataArray 'x' (y: 2)> Size: 16B\n[2 values with dtype=float64]\nDimensions without coordinates: y = <xarray.Dataset> Size: 16B\nDimensions: (y: 2)\nDimensions without coordinates: y\nData variables:\n x (y) float64 16B ....x
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_explicitly_omit_fill_value_via_encoding_kwarg[2]: AssertionError: assert '_FillValue' not in {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...}
+ where {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...} = <xarray.DataArray 'x' (y: 2)> Size: 16B\n[2 values with dtype=float64]\nDimensions without coordinates: y.encoding
+ where <xarray.DataArray 'x' (y: 2)> Size: 16B\n[2 values with dtype=float64]\nDimensions without coordinates: y = <xarray.Dataset> Size: 16B\nDimensions: (y: 2)\nDimensions without coordinates: y\nData variables:\n x (y) float64 16B ....x
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_explicitly_omit_fill_value_in_coord[2]: AssertionError: assert '_FillValue' not in {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...}
+ where {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...} = <xarray.DataArray 'y' (y: 2)> Size: 16B\narray([nan, 1.])\nCoordinates:\n * y (y) float64 16B nan 1.0.encoding
+ where <xarray.DataArray 'y' (y: 2)> Size: 16B\narray([nan, 1.])\nCoordinates:\n * y (y) float64 16B nan 1.0 = <xarray.Dataset> Size: 32B\nDimensions: (y: 2)\nCoordinates:\n * y (y) float64 16B nan 1.0\nData variables:\n x (y) float64 16B ....y
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_explicitly_omit_fill_value_in_coord_via_encoding_kwarg[2]: AssertionError: assert '_FillValue' not in {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...}
+ where {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...} = <xarray.DataArray 'y' (y: 2)> Size: 16B\narray([nan, 1.])\nCoordinates:\n * y (y) float64 16B nan 1.0.encoding
+ where <xarray.DataArray 'y' (y: 2)> Size: 16B\narray([nan, 1.])\nCoordinates:\n * y (y) float64 16B nan 1.0 = <xarray.Dataset> Size: 32B\nDimensions: (y: 2)\nCoordinates:\n * y (y) float64 16B nan 1.0\nData variables:\n x (y) float64 16B ....y
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_append_overwrite_values[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_string_object_warning[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_roundtrip_consolidated[3 failing variants]: AssertionError: assert (dtype('int64') == dtype('float64') or ('i' in {'O', 'S', 'U'}))
+ where 'i' = dtype('int64').kind
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_read_non_consolidated_warning[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
R * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
L numbers (dim3) float64 80B dask.array<chunksize=(10,), meta=np.ndarray>
R numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_non_existent_store[2]: AssertionError: Regex pattern did not match.
Regex: '(No such file or directory|Unable to find group)'
Input: "No group found in store '/tmp/pytest-of-runner/pytest-0/popen-gw0/test_non_existent_store_2_1/c7d0457e-23b7-4d25-8273-983109c7715d' at path ''"
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_write_persistence_modes[2 failing variants]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_group[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_append_write[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_append_string_length_mismatch_raises[2 failing variants]: Failed: DID NOT RAISE <class 'ValueError'>
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_check_encoding_is_consistent_after_append[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_append_with_new_variable[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_append_with_append_dim_no_overwrite[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_to_zarr_compute_false_roundtrip[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B dask.array<chunksize=(10,), meta=np.ndarray>
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_to_zarr_append_compute_false_roundtrip[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_write_region_errors[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L u (x) float64 40B nan 1.0 2.0 3.0 4.0
R u (x) int64 40B 0 1 2 3 4
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_encoding_chunksizes[2]: AssertionError: Left and right Dataset objects are not equal
Differing coordinates:
L * t (t) float64 40B nan 1.0 2.0 3.0 4.0
R * t (t) int64 40B 0 1 2 3 4
L * y (y) float64 32B nan 1.0 2.0 3.0
R * y (y) int64 32B 0 1 2 3
L * x (x) float64 32B nan 1.0 2.0 3.0
R * x (x) int64 32B 0 1 2 3
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_open_zarr_use_cftime[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B dask.array<chunksize=(10,), meta=np.ndarray>
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_zero_dimensional_variable[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_write_store[2]: AssertionError: Left and right Dataset objects are not close
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B ...
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_roundtrip_test_data[2]: AssertionError: assert (dtype('int64') == dtype('float64') or ('i' in {'O', 'S', 'U'}))
+ where 'i' = dtype('int64').kind
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_load[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_dataset_compute[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_roundtrip_None_variable[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L None (x, y) int64 32B 0 1 2 3
R None (x, y) float64 32B nan 1.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_roundtrip_object_dtype[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_roundtrip_numpy_datetime_data[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * t (t) datetime64[ns] 24B 2000-01-01 2000-01-02 NaT
R * t (t) datetime64[ns] 24B NaT 2000-01-02 NaT
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_roundtrip_cftime_datetime_data[2]: ValueError: Failed to decode variable 't': unable to decode time units 'days since 0001-01-01 00:00:00.000000' with "calendar 'noleap'". Try opening your dataset with decode_times=False or installing cftime if it is not installed.
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_roundtrip_coordinates[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L foo (x) int64 16B 0 1
R foo (x) float64 16B nan 1.0
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_roundtrip_global_coordinates[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L foo (x) int64 16B 0 1
R foo (x) float64 16B nan 1.0
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_roundtrip_coordinates_with_space[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L x int64 8B 0
R x float64 8B nan
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_roundtrip_boolean_dtype[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L x (t) bool 4B True False False True
R x (t) bool 4B True True True True
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_orthogonal_indexing[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 40B 0 1 2 0 0
R numbers (dim3) float64 40B nan 1.0 2.0 nan nan
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_vectorized_indexing[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_vectorized_indexing_negative_step[2]: AssertionError: Left and right DataArray objects are not identical
Differing coordinates:
L numbers (dim3) int64 64B 3 2 2 1 1 0 0 2
R numbers (dim3) float64 64B 3.0 2.0 2.0 1.0 1.0 nan nan 2.0
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_isel_dataarray[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_array_type_after_indexing[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 40B 0 1 2 0 0
R numbers (dim3) float64 40B nan 1.0 2.0 nan nan
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_dropna[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * x (x) int64 16B 0 2
R * x (x) float64 16B nan 2.0
L * y (y) int64 32B 0 1 2 3
R * y (y) float64 32B nan 1.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_coordinate_variables_after_dataset_roundtrip[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * latitude (latitude) float64 16B nan 1.0
R * latitude (latitude) int64 16B 0 1
L * longitude (longitude) float64 16B nan 1.0
R * longitude (longitude) int64 16B 0 1
L latitude_bnds (latitude, bnds2) float64 32B nan 1.0 1.0 2.0
R latitude_bnds (latitude, bnds2) int64 32B 0 1 1 2
L longitude_bnds (longitude, bnds2) float64 32B nan 1.0 1.0 2.0
R longitude_bnds (longitude, bnds2) int64 32B 0 1 1 2
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_grid_mapping_and_bounds_are_coordinates_after_dataarray_roundtrip[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * latitude (latitude) float64 16B nan 1.0
R * latitude (latitude) int64 16B 0 1
L * longitude (longitude) float64 16B nan 1.0
R * longitude (longitude) int64 16B 0 1
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_coordinates_encoding[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L temp (x) float64 16B nan 1.0
R temp (x) int64 16B 0 1
L precip (x) float64 16B nan -1.0
R precip (x) int64 16B 0 -1
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_default_fill_value[2]: AssertionError: assert '_FillValue' not in {'_FillValue': np.int16(0), 'chunks': (10,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<i2'), ...}
+ where {'_FillValue': np.int16(0), 'chunks': (10,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<i2'), ...} = <xarray.DataArray 'x' (y: 10)> Size: 40B\n[10 values with dtype=float32]\nDimensions without coordinates: y.encoding
+ where <xarray.DataArray 'x' (y: 10)> Size: 40B\n[10 values with dtype=float32]\nDimensions without coordinates: y = <xarray.Dataset> Size: 40B\nDimensions: (y: 10)\nDimensions without coordinates: y\nData variables:\n x (y) float32 40B ....x
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_explicitly_omit_fill_value[2]: AssertionError: assert '_FillValue' not in {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...}
+ where {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...} = <xarray.DataArray 'x' (y: 2)> Size: 16B\n[2 values with dtype=float64]\nDimensions without coordinates: y.encoding
+ where <xarray.DataArray 'x' (y: 2)> Size: 16B\n[2 values with dtype=float64]\nDimensions without coordinates: y = <xarray.Dataset> Size: 16B\nDimensions: (y: 2)\nDimensions without coordinates: y\nData variables:\n x (y) float64 16B ....x
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_explicitly_omit_fill_value_via_encoding_kwarg[2]: AssertionError: assert '_FillValue' not in {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...}
+ where {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...} = <xarray.DataArray 'x' (y: 2)> Size: 16B\n[2 values with dtype=float64]\nDimensions without coordinates: y.encoding
+ where <xarray.DataArray 'x' (y: 2)> Size: 16B\n[2 values with dtype=float64]\nDimensions without coordinates: y = <xarray.Dataset> Size: 16B\nDimensions: (y: 2)\nDimensions without coordinates: y\nData variables:\n x (y) float64 16B ....x
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_explicitly_omit_fill_value_in_coord[2]: AssertionError: assert '_FillValue' not in {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...}
+ where {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...} = <xarray.DataArray 'y' (y: 2)> Size: 16B\narray([nan, 1.])\nCoordinates:\n * y (y) float64 16B nan 1.0.encoding
+ where <xarray.DataArray 'y' (y: 2)> Size: 16B\narray([nan, 1.])\nCoordinates:\n * y (y) float64 16B nan 1.0 = <xarray.Dataset> Size: 32B\nDimensions: (y: 2)\nCoordinates:\n * y (y) float64 16B nan 1.0\nData variables:\n x (y) float64 16B ....y
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_explicitly_omit_fill_value_in_coord_via_encoding_kwarg[2]: AssertionError: assert '_FillValue' not in {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...}
+ where {'_FillValue': np.float64(0.0), 'chunks': (2,), 'compressors': (Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0),), 'dtype': dtype('<f8'), ...} = <xarray.DataArray 'y' (y: 2)> Size: 16B\narray([nan, 1.])\nCoordinates:\n * y (y) float64 16B nan 1.0.encoding
+ where <xarray.DataArray 'y' (y: 2)> Size: 16B\narray([nan, 1.])\nCoordinates:\n * y (y) float64 16B nan 1.0 = <xarray.Dataset> Size: 32B\nDimensions: (y: 2)\nCoordinates:\n * y (y) float64 16B nan 1.0\nData variables:\n x (y) float64 16B ....y
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_append_overwrite_values[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_string_object_warning[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_roundtrip_consolidated[3 failing variants]: AssertionError: assert (dtype('int64') == dtype('float64') or ('i' in {'O', 'S', 'U'}))
+ where 'i' = dtype('int64').kind
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_read_non_consolidated_warning[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
R * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
L numbers (dim3) float64 80B dask.array<chunksize=(10,), meta=np.ndarray>
R numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_non_existent_store[2]: AssertionError: Regex pattern did not match.
Regex: '(No such file or directory|Unable to find group)'
Input: "No group found in store '/tmp/pytest-of-runner/pytest-0/popen-gw0/test_non_existent_store_2_2/09c3f5ab-ba28-4668-a443-ff95a566404c' at path ''"
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_write_persistence_modes[2 failing variants]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_group[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_append_write[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_append_string_length_mismatch_raises[2 failing variants]: Failed: DID NOT RAISE <class 'ValueError'>
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_check_encoding_is_consistent_after_append[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_append_with_new_variable[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_append_with_append_dim_no_overwrite[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_to_zarr_compute_false_roundtrip[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B dask.array<chunksize=(10,), meta=np.ndarray>
R numbers (dim3) float64 80B nan 1.0 2.0 nan nan 1.0 1.0 2.0 2.0 3.0
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_to_zarr_append_compute_false_roundtrip[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_write_region_errors[2]: AssertionError: Left and right Dataset objects are not identical
Differing data variables:
L u (x) float64 40B nan 1.0 2.0 3.0 4.0
R u (x) int64 40B 0 1 2 3 4
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_encoding_chunksizes[2]: AssertionError: Left and right Dataset objects are not equal
Differing coordinates:
L * t (t) float64 40B nan 1.0 2.0 3.0 4.0
R * t (t) int64 40B 0 1 2 3 4
L * y (y) float64 32B nan 1.0 2.0 3.0
R * y (y) int64 32B 0 1 2 3
L * x (x) float64 32B nan 1.0 2.0 3.0
R * x (x) int64 32B 0 1 2 3
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_open_zarr_use_cftime[2]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * time (time) datetime64[ns] 160B 2000-01-01 2000-01-02 ... 2000-01-20
R * time (time) datetime64[ns] 160B NaT 2000-01-02 ... 2000-01-19 2000-01-20
L numbers (dim3) int64 80B 0 1 2 0 0 1 1 2 2 3
R numbers (dim3) float64 80B dask.array<chunksize=(10,), meta=np.ndarray>
xarray/tests/test_backends.py::test_zarr_closing_internal_zip_store[2]: AssertionError: Left and right DataArray objects are not identical
Differing values:
L
array([[ 0, 1, 2, 3],
[ 4, 5, 6, 7],
[ 8, 9, 10, 11]])
R
array([[nan, 1., 2., 3.],
[ 4., 5., 6., 7.],
[ 8., 9., 10., 11.]])
xarray/tests/test_backends.py::TestZarrRegionAuto::test_zarr_region_auto[2 failing variants]: AssertionError: Left and right Dataset objects are not identical
Differing coordinates:
L * x (x) float64 40B nan 10.0 20.0 30.0 40.0
R * x (x) int64 40B 0 10 20 30 40
L * y (y) float64 80B nan 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0
R * y (y) int64 80B 0 2 4 6 8 10 12 14 16 18
xarray/tests/test_backends.py::TestZarrRegionAuto::test_zarr_region_auto_noncontiguous[2]: KeyError: "Not all values of coordinate 'x' in the new array were found in the original store. Writing to a zarr region slice requires that no dimensions or metadata are changed by the write."
xarray/tests/test_backends.py::TestZarrRegionAuto::test_zarr_region_chunk_partial_offset[2]: KeyError: "Not all values of coordinate 'x' in the new array were found in the original store. Writing to a zarr region slice requires that no dimensions or metadata are changed by the write."
xarray/tests/test_backends.py::TestZarrRegionAuto::test_zarr_safe_chunk_append_dim[2]: AssertionError: assert False
+ where False = equals(<xarray.DataArray 'foo' (x: 11)> Size: 88B\ndask.array<getitem, shape=(11,), dtype=float64, chunksize=(5,), chunktype=numpy.ndarray>\nCoordinates:\n * x (x) int64 88B 0 1 2 3 4 5 6 7 8 9 10)
+ where equals = <xarray.DataArray 'foo' (x: 11)> Size: 88B\ndask.array<open_dataset-foo, shape=(11,), dtype=float64, chunksize=(5,), chunktype=numpy.ndarray>\nCoordinates:\n * x (x) float64 88B nan 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0.equals
+ and <xarray.DataArray 'foo' (x: 11)> Size: 88B\ndask.array<getitem, shape=(11,), dtype=float64, chunksize=(5,), chunktype=numpy.ndarray>\nCoordinates:\n * x (x) int64 88B 0 1 2 3 4 5 6 7 8 9 10 = isel(x=slice(0, 11, None))
+ where isel = <xarray.DataArray 'foo' (x: 20)> Size: 160B\ndask.array<xarray-<this-array>, shape=(20,), dtype=float64, chunksize=(5,), chunktype=numpy.ndarray>\nCoordinates:\n * x (x) int64 160B 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19.isel
+ and slice(0, 11, None) = slice(0, 11)
xarray/tests/test_backends.py::TestZarrRegionAuto::test_zarr_safe_chunk_region[2 failing variants]: KeyError: "Not all values of coordinate 'a' in the new array were found in the original store. Writing to a zarr region slice requires that no dimensions or metadata are changed by the write."
xarray/tests/test_backends.py::TestZarrDictStore::test_non_existent_store[3]: AssertionError: Regex pattern did not match.
Regex: '(No such file or directory|Unable to find group)'
Input: "No group found in store '/tmp/pytest-of-runner/pytest-0/popen-gw0/test_non_existent_store_3_0/9a920a7c-83d0-4335-b784-d67a88f95893' at path ''"
xarray/tests/test_backends.py::TestZarrDictStore::test_warning_on_bad_chunks[3]: AssertionError: Got 1 unexpected warning(s): ["zarr.core.dtype.common.UnstableSpecificationWarning('The data type (FixedLengthUTF32(length=1, endianness='little')) does not have a Zarr V3 specification. That means that the representation of array saved with this data type may change without warning in a future version of Zarr Python. Arrays stored with this data type may be unreadable by other Zarr libraries. Use this data type at your own risk! Check https://github.com/zarr-developers/zarr-extensions/tree/main/data-types for the status of data type specifications for Zarr V3.'))"]
xarray/tests/test_backends.py::TestZarrDictStore::test_write_persistence_modes[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrDictStore::test_append_string_length_mismatch_works[3-U]: ValueError: Mismatched dtypes for variable temperature between Zarr store on disk and dataset to append. Store has dtype <U2 but dataset to append has dtype <U5.
xarray/tests/test_backends.py::TestZarrDictStore::test_append_string_length_mismatch_works[3-S]: ValueError: Mismatched dtypes for variable temperature between Zarr store on disk and dataset to append. Store has dtype |S2 but dataset to append has dtype |S3.
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_non_existent_store[3]: AssertionError: Regex pattern did not match.
Regex: '(No such file or directory|Unable to find group)'
Input: "No group found in store '/tmp/pytest-of-runner/pytest-0/popen-gw0/test_non_existent_store_3_1/81b8ca6f-064a-4664-bb4d-d9a80ff099f5' at path ''"
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_warning_on_bad_chunks[3]: AssertionError: Got 1 unexpected warning(s): ["zarr.core.dtype.common.UnstableSpecificationWarning('The data type (FixedLengthUTF32(length=1, endianness='little')) does not have a Zarr V3 specification. That means that the representation of array saved with this data type may change without warning in a future version of Zarr Python. Arrays stored with this data type may be unreadable by other Zarr libraries. Use this data type at your own risk! Check https://github.com/zarr-developers/zarr-extensions/tree/main/data-types for the status of data type specifications for Zarr V3.'))"]
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_write_persistence_modes[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_append_string_length_mismatch_works[3-U]: ValueError: Mismatched dtypes for variable temperature between Zarr store on disk and dataset to append. Store has dtype <U2 but dataset to append has dtype <U5.
xarray/tests/test_backends.py::TestZarrDirectoryStore::test_append_string_length_mismatch_works[3-S]: ValueError: Mismatched dtypes for variable temperature between Zarr store on disk and dataset to append. Store has dtype |S2 but dataset to append has dtype |S3.
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_non_existent_store[3]: AssertionError: Regex pattern did not match.
Regex: '(No such file or directory|Unable to find group)'
Input: "No group found in store '/tmp/pytest-of-runner/pytest-0/popen-gw0/test_non_existent_store_3_2/538ec944-302c-46e8-a2ed-e23366f3c96a' at path ''"
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_warning_on_bad_chunks[3]: AssertionError: Got 1 unexpected warning(s): ["zarr.core.dtype.common.UnstableSpecificationWarning('The data type (FixedLengthUTF32(length=1, endianness='little')) does not have a Zarr V3 specification. That means that the representation of array saved with this data type may change without warning in a future version of Zarr Python. Arrays stored with this data type may be unreadable by other Zarr libraries. Use this data type at your own risk! Check https://github.com/zarr-developers/zarr-extensions/tree/main/data-types for the status of data type specifications for Zarr V3.'))"]
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_write_persistence_modes[2 failing variants]: ValueError: When changing to a smaller dtype, its size must be a divisor of the size of original dtype
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_append_string_length_mismatch_works[3-U]: ValueError: Mismatched dtypes for variable temperature between Zarr store on disk and dataset to append. Store has dtype <U2 but dataset to append has dtype <U5.
xarray/tests/test_backends.py::TestZarrWriteEmpty::test_append_string_length_mismatch_works[3-S]: ValueError: Mismatched dtypes for variable temperature between Zarr store on disk and dataset to append. Store has dtype |S2 but dataset to append has dtype |S3.