unintended linting

xarray/tests/test_interp.py

@@ -10,16 +10,9 @@
 import xarray as xr
 from xarray.coding.cftimeindex import _parse_array_of_cftime_strings
 from xarray.core.types import InterpOptions
-from xarray.tests import (
-    assert_allclose,
-    assert_equal,
-    assert_identical,
-    has_dask,
-    has_scipy,
-    requires_cftime,
-    requires_dask,
-    requires_scipy,
-)
+from xarray.tests import (assert_allclose, assert_equal, assert_identical,
+                          has_dask, has_scipy, requires_cftime, requires_dask,
+                          requires_scipy)
 from xarray.tests.test_dataset import create_test_data
 
 try:
@@ -634,15 +627,7 @@ def test_interp_like() -> None:
     ],
 )
 @pytest.mark.filterwarnings("ignore:Converting non-nanosecond")
-def test_datetime(
-    x_new: (
-        DatetimeIndex
-        | ndarray[Any, dtype[datetime64]]
-        | list[str]
-        | Literal["2000-01-01T12:00"]
-    ),
-    expected: list[int] | list[float] | float,
-) -> None:
+def test_datetime(x_new, expected) -> None:
     da = xr.DataArray(
         np.arange(24),
         dims="time",
@@ -824,7 +809,7 @@ def test_decompose(method: InterpOptions) -> None:
     ],
 )
 def test_interpolate_chunk_1d(
-    method: InterpOptions, data_ndim: Any, interp_ndim: Any, nscalar: Any, chunked: bool
+    method: InterpOptions, data_ndim, interp_ndim, nscalar, chunked: bool
 ) -> None:
     """Interpolate nd array with multiple independent indexers
 
@@ -959,11 +944,7 @@ def test_interp1d_bounds_error() -> None:
     ],
 )
 def test_coord_attrs(
-    x: (
-        float
-        | ndarray[Any, dtype[Any]]
-        | tuple[Literal[x], ndarray[Any, dtype[Any]], dict[str, str]]
-    ),
+    x,
     expect_same_attrs: bool,
 ) -> None:
     base_attrs = dict(foo="bar")