Fix UP007

xarray/core/merge.py

@@ -2,7 +2,7 @@
 
 from collections import defaultdict
 from collections.abc import Hashable, Iterable, Mapping, Sequence, Set
-from typing import TYPE_CHECKING, Any, NamedTuple, Union
+from typing import TYPE_CHECKING, Any, NamedTuple
 
 import pandas as pd
 
@@ -24,18 +24,18 @@
     from xarray.core.dataset import Dataset
     from xarray.core.types import CombineAttrsOptions, CompatOptions, JoinOptions
 
-    DimsLike = Union[Hashable, Sequence[Hashable]]
+    DimsLike = Hashable | Sequence[Hashable]
     ArrayLike = Any
-    VariableLike = Union[
-        ArrayLike,
-        tuple[DimsLike, ArrayLike],
-        tuple[DimsLike, ArrayLike, Mapping],
-        tuple[DimsLike, ArrayLike, Mapping, Mapping],
-    ]
-    XarrayValue = Union[DataArray, Variable, VariableLike]
-    DatasetLike = Union[Dataset, Coordinates, Mapping[Any, XarrayValue]]
-    CoercibleValue = Union[XarrayValue, pd.Series, pd.DataFrame]
-    CoercibleMapping = Union[Dataset, Mapping[Any, CoercibleValue]]
+    VariableLike = (
+        ArrayLike
+        | tuple[DimsLike, ArrayLike]
+        | tuple[DimsLike, ArrayLike, Mapping]
+        | tuple[DimsLike, ArrayLike, Mapping, Mapping]
+    )
+    XarrayValue = DataArray | Variable | VariableLike
+    DatasetLike = Dataset | Coordinates | Mapping[Any, XarrayValue]
+    CoercibleValue = XarrayValue | pd.Series | pd.DataFrame
+    CoercibleMapping = Dataset | Mapping[Any, CoercibleValue]
 
 
 PANDAS_TYPES = (pd.Series, pd.DataFrame)

xarray/core/types.py

@@ -61,14 +61,14 @@
         ZarrArray = np.ndarray
 
     # Anything that can be coerced to a shape tuple
-    _ShapeLike = Union[SupportsIndex, Sequence[SupportsIndex]]
+    _ShapeLike = SupportsIndex | Sequence[SupportsIndex]
     _DTypeLikeNested = Any  # TODO: wait for support for recursive types
 
     # Xarray requires a Mapping[Hashable, dtype] in many places which
     # conflicts with numpys own DTypeLike (with dtypes for fields).
     # https://numpy.org/devdocs/reference/typing.html#numpy.typing.DTypeLike
     # This is a copy of this DTypeLike that allows only non-Mapping dtypes.
-    DTypeLikeSave = Union[
+    DTypeLikeSave = Union[  # noqa
         np.dtype[Any],
         # default data type (float64)
         None,
@@ -209,17 +209,17 @@ def copy(
     "identical", "equals", "broadcast_equals", "no_conflicts", "override", "minimal"
 ]
 ConcatOptions = Literal["all", "minimal", "different"]
-CombineAttrsOptions = Union[
-    Literal["drop", "identical", "no_conflicts", "drop_conflicts", "override"],
-    Callable[..., Any],
-]
+CombineAttrsOptions = (
+    Literal["drop", "identical", "no_conflicts", "drop_conflicts", "override"]
+    | Callable[..., Any]
+)
 JoinOptions = Literal["outer", "inner", "left", "right", "exact", "override"]
 
 Interp1dOptions = Literal[
     "linear", "nearest", "zero", "slinear", "quadratic", "cubic", "polynomial"
 ]
 InterpolantOptions = Literal["barycentric", "krogh", "pchip", "spline", "akima"]
-InterpOptions = Union[Interp1dOptions, InterpolantOptions]
+InterpOptions = Interp1dOptions | InterpolantOptions
 
 DatetimeUnitOptions = Literal[
     "Y", "M", "W", "D", "h", "m", "s", "ms", "us", "μs", "ns", "ps", "fs", "as", None
@@ -263,12 +263,12 @@ def copy(
 
 ScaleOptions = Literal["linear", "symlog", "log", "logit", None]
 HueStyleOptions = Literal["continuous", "discrete", None]
-AspectOptions = Union[Literal["auto", "equal"], float, None]
+AspectOptions = Literal["auto", "equal"] | float | None
 ExtendOptions = Literal["neither", "both", "min", "max", None]
 
 # TODO: Wait until mypy supports recursive objects in combination with typevars
 _T = TypeVar("_T")
-NestedSequence = Union[
+NestedSequence = Union[  # noqa
     _T,
     Sequence[_T],
     Sequence[Sequence[_T]],
@@ -298,8 +298,13 @@ def copy(
 ZarrWriteModes = Literal["w", "w-", "a", "a-", "r+", "r"]
 
 GroupKey = Any
-GroupIndex = Union[int, slice, list[int]]
+GroupIndex = int | slice | list[int]
 GroupIndices = tuple[GroupIndex, ...]
-Bins = Union[
-    int, Sequence[int], Sequence[float], Sequence[pd.Timestamp], np.ndarray, pd.Index
-]
+Bins = (
+    int
+    | Sequence[int]
+    | Sequence[float]
+    | Sequence[pd.Timestamp]
+    | np.ndarray
+    | pd.Index
+)