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

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

Author: pre-commit-ci[bot]

xarray/core/variable.py

@@ -1372,14 +1372,14 @@ def set_dims(self, dim, shape=None):
             # writeable if possible
             expanded_data = self.data
         elif shape is None or all(
-            s == 1 for s, e in zip(shape, dim) if e not in self_dims
+            s == 1 for s, e in zip(shape, dim, strict=False) if e not in self_dims
         ):
             # "Trivial" broadcasting, i.e. simply inserting a new dimension
             # This is typically easier for duck arrays to implement
             # than the full "broadcast_to" semantics
             indexer = (None,) * (len(expanded_dims) - self.ndim) + (...,)
             expanded_data = self.data[indexer]
-        else: # elif shape is not None:
+        else:  # elif shape is not None:
             dims_map = dict(zip(dim, shape, strict=True))
             tmp_shape = tuple(dims_map[d] for d in expanded_dims)
             expanded_data = duck_array_ops.broadcast_to(self._data, tmp_shape)

xarray/tests/test_variable.py

@@ -45,7 +45,6 @@
     requires_pint,
     requires_sparse,
     source_ndarray,
-    InaccessibleArray,
 )
 from xarray.tests.test_namedarray import NamedArraySubclassobjects
 
@@ -1667,7 +1666,8 @@ def __getitem__(self, key):
             def __array_function__(self, *args, **kwargs):
                 raise NotImplementedError(
                     "Not we don't want to use broadcast_to here "
-                    "https://github.com/pydata/xarray/issues/9462")
+                    "https://github.com/pydata/xarray/issues/9462"
+                )
 
         arr = ArrayWithoutBroadcastTo(np.zeros((3, 4)))
         # We should be able to add a new axis without broadcasting
@@ -1680,7 +1680,7 @@ def __array_function__(self, *args, **kwargs):
         assert v_expanded.dims == ("z", "x", "y")
         assert v_expanded.shape == (1, 3, 4)
 
-        # Explicitely asking for a shape of 1 triggers a different
+        # Explicitly asking for a shape of 1 triggers a different
         # codepath in set_dims
         # https://github.com/pydata/xarray/issues/9462
         v_expanded = v.set_dims(["z", "x", "y"], shape=(1, 3, 4))
@@ -1713,7 +1713,6 @@ def __array_function__(self, *args, **kwargs):
         with pytest.raises(NotImplementedError):
             v.set_dims(["z", "x", "y"], shape=(2, 3, 4))
 
-
     def test_stack(self):
         v = Variable(["x", "y"], [[0, 1], [2, 3]], {"foo": "bar"})
         actual = v.stack(z=("x", "y"))