Apply ruff rule RUF100

RUF100 Unused blanket `noqa` directive

pyproject.toml

@@ -245,6 +245,12 @@ ignore = [
   "E501",
   "E731",
   "UP007",
+  "RUF001",
+  "RUF002",
+  "RUF003",
+  "RUF005",
+  "RUF007",
+  "RUF012",
 ]
 extend-select = [
   "B", # flake8-bugbear
@@ -254,6 +260,7 @@ extend-select = [
   "TID", # flake8-tidy-imports (absolute imports)
   "I", # isort
   "PGH", # pygrep-hooks
+  "RUF",
   "UP", # Pyupgrade
 ]
 

xarray/backends/locks.py

@@ -149,7 +149,7 @@ def _get_scheduler(get=None, collection=None) -> str | None:
         # Fix for bug caused by dask installation that doesn't involve the toolz library
         # Issue: 4164
         import dask
-        from dask.base import get_scheduler  # noqa: F401
+        from dask.base import get_scheduler
 
         actual_get = get_scheduler(get, collection)
     except ImportError:

xarray/plot/dataarray_plot.py

@@ -1480,7 +1480,7 @@ def newplotfunc(
             if ax is None:
                 # TODO: Importing Axes3D is no longer necessary in matplotlib >= 3.2.
                 # Remove when minimum requirement of matplotlib is 3.2:
-                from mpl_toolkits.mplot3d import Axes3D  # noqa: F401
+                from mpl_toolkits.mplot3d import Axes3D
 
                 # delete so it does not end up in locals()
                 del Axes3D

xarray/testing/assertions.py

@@ -423,7 +423,7 @@ def _assert_dataset_invariants(ds: Dataset, check_default_indexes: bool):
         set(ds._variables),
     )
 
-    assert type(ds._dims) is dict, ds._dims  # noqa: E721
+    assert type(ds._dims) is dict, ds._dims
     assert all(isinstance(v, int) for v in ds._dims.values()), ds._dims
     var_dims: set[Hashable] = set()
     for v in ds._variables.values():

xarray/tests/test_dataset.py

@@ -684,7 +684,7 @@ def test_properties(self) -> None:
         assert isinstance(ds.dims, utils.Frozen)
         # TODO change after deprecation cycle in GH #8500 is complete
         assert isinstance(ds.dims.mapping, dict)
-        assert type(ds.dims.mapping) is dict  # noqa: E721
+        assert type(ds.dims.mapping) is dict
         with pytest.warns(
             FutureWarning,
             match=" To access a mapping from dimension names to lengths, please use `Dataset.sizes`",
@@ -3069,7 +3069,7 @@ def test_rename(self) -> None:
                 renamed[k].variable.to_base_variable(),
             )
             assert v.encoding == renamed[k].encoding
-            assert type(v) is type(renamed.variables[k])  # noqa: E721
+            assert type(v) is type(renamed.variables[k])
 
         assert "var1" not in renamed
         assert "dim2" not in renamed

xarray/tests/test_variable.py

@@ -1071,7 +1071,7 @@ def test_values(self):
     def test_numpy_same_methods(self):
         v = Variable([], np.float32(0.0))
         assert v.item() == 0
-        assert type(v.item()) is float  # noqa: E721
+        assert type(v.item()) is float
 
         v = IndexVariable("x", np.arange(5))
         assert 2 == v.searchsorted(2)

xarray/tutorial.py

@@ -59,7 +59,7 @@ def _check_netcdf_engine_installed(name):
             import scipy  # noqa: F401
         except ImportError:
             try:
-                import netCDF4  # noqa: F401
+                import netCDF4
             except ImportError as err:
                 raise ImportError(
                     f"opening tutorial dataset {name} requires either scipy or "