[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

tests/test_accessors.py

@@ -80,7 +80,11 @@ def test_dataarray_destagger(test_grid):
 
 @pytest.mark.parametrize('test_grid', ['lambert_conformal', 'mercator'], indirect=True)
 def test_dataset_destagger(test_grid):
-    destaggered = test_grid.isel(Time=slice(0, 2)).xwrf.postprocess(calculate_diagnostic_variables=False).destagger()
+    destaggered = (
+        test_grid.isel(Time=slice(0, 2))
+        .xwrf.postprocess(calculate_diagnostic_variables=False)
+        .destagger()
+    )
 
     # Check elimination of staggered dims and "stagger" attr
     for varname in destaggered.data_vars:

tests/test_destagger.py

@@ -1,4 +1,5 @@
 from collections import Counter
+
 import numpy as np
 import pytest
 import xarray as xr
@@ -14,7 +15,7 @@
         ({'b': 3}, {}),
         ({'a': 4, 'c': 5}, {'a': 4, 'c': 5}),
         (Counter(('a', 'a', 'b', 'c')), {'a': 2, 'c': 1}),
-    ]
+    ],
 )
 def test_drop_attrs_successful(input_attrs, output_attrs):
     result = _drop_attrs(input_attrs, ('b',))
@@ -29,12 +30,17 @@ def test_drop_attrs_unsuccessful():
 @pytest.mark.parametrize(
     'input_name, stagger_dim, unstag_dim_name, output_name',
     [
-        ('bottom_top', 'bottom_top_stag', None, 'bottom_top',),
+        (
+            'bottom_top',
+            'bottom_top_stag',
+            None,
+            'bottom_top',
+        ),
         ('bottom_top_stag', 'bottom_top_stag', 'z', 'z'),
         ('bottom_top_stag', 'bottom_top_stag', None, 'bottom_top'),
         ('XLAT_U', 'west_east', None, 'XLAT'),
         ('XLONG_V', 'south_north', None, 'XLONG'),
-    ]
+    ],
 )
 def test_rename_staggered_coordinate(input_name, stagger_dim, unstag_dim_name, output_name):
     assert _rename_staggered_coordinate(input_name, stagger_dim, unstag_dim_name) == output_name
@@ -55,7 +61,7 @@ def test_destag_variable_multiple_dims():
     [
         ('z', 'z'),
         (None, 'bottom_top'),
-    ]
+    ],
 )
 def test_destag_variable_1d(unstag_dim_name, expected_output_dim_name):
     staggered = xr.Variable(('bottom_top_stag',), np.arange(5), attrs={'stagger': 'Z'})