[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -16,7 +16,7 @@ repos:
         files: ^xarray/
   - repo: https://github.com/charliermarsh/ruff-pre-commit
     # Ruff version.
-    rev: 'v0.0.254'
+    rev: 'v0.0.257'
     hooks:
       - id: ruff
         args: ["--fix"]

xarray/core/computation.py

@@ -8,17 +8,8 @@
 import operator
 import warnings
 from collections import Counter
-from collections.abc import Hashable, Iterable, Mapping, Sequence
-from typing import (
-    TYPE_CHECKING,
-    AbstractSet,
-    Any,
-    Callable,
-    Literal,
-    TypeVar,
-    Union,
-    overload,
-)
+from collections.abc import Hashable, Iterable, Mapping, Sequence, Set
+from typing import TYPE_CHECKING, Any, Callable, Literal, TypeVar, Union, overload
 
 import numpy as np
 
@@ -211,7 +202,7 @@ def _get_coords_list(args: Iterable[Any]) -> list[Coordinates]:
 def build_output_coords_and_indexes(
     args: Iterable[Any],
     signature: _UFuncSignature,
-    exclude_dims: AbstractSet = frozenset(),
+    exclude_dims: Set = frozenset(),
     combine_attrs: CombineAttrsOptions = "override",
 ) -> tuple[list[dict[Any, Variable]], list[dict[Any, Index]]]:
     """Build output coordinates and indexes for an operation.
@@ -561,7 +552,7 @@ def apply_groupby_func(func, *args):
 
 
 def unified_dim_sizes(
-    variables: Iterable[Variable], exclude_dims: AbstractSet = frozenset()
+    variables: Iterable[Variable], exclude_dims: Set = frozenset()
 ) -> dict[Hashable, int]:
     dim_sizes: dict[Hashable, int] = {}
 
@@ -846,7 +837,7 @@ def apply_ufunc(
     *args: Any,
     input_core_dims: Sequence[Sequence] | None = None,
     output_core_dims: Sequence[Sequence] | None = ((),),
-    exclude_dims: AbstractSet = frozenset(),
+    exclude_dims: Set = frozenset(),
     vectorize: bool = False,
     join: JoinOptions = "exact",
     dataset_join: str = "exact",

xarray/core/merge.py

@@ -1,8 +1,8 @@
 from __future__ import annotations
 
 from collections import defaultdict
-from collections.abc import Hashable, Iterable, Mapping, Sequence
-from typing import TYPE_CHECKING, AbstractSet, Any, NamedTuple, Optional, Union
+from collections.abc import Hashable, Iterable, Mapping, Sequence, Set
+from typing import TYPE_CHECKING, Any, NamedTuple, Optional, Union
 
 import pandas as pd
 
@@ -381,7 +381,7 @@ def collect_from_coordinates(
 def merge_coordinates_without_align(
     objects: list[Coordinates],
     prioritized: Mapping[Any, MergeElement] | None = None,
-    exclude_dims: AbstractSet = frozenset(),
+    exclude_dims: Set = frozenset(),
     combine_attrs: CombineAttrsOptions = "override",
 ) -> tuple[dict[Hashable, Variable], dict[Hashable, Index]]:
     """Merge variables/indexes from coordinates without automatic alignments.

xarray/core/parallel.py

@@ -4,7 +4,7 @@
 import itertools
 import operator
 from collections.abc import Hashable, Iterable, Mapping, Sequence
-from typing import TYPE_CHECKING, Any, Callable, DefaultDict
+from typing import TYPE_CHECKING, Any, Callable
 
 import numpy as np
 
@@ -403,7 +403,9 @@ def _wrapper(
     # func applied to the values.
 
     graph: dict[Any, Any] = {}
-    new_layers: DefaultDict[str, dict[Any, Any]] = collections.defaultdict(dict)
+    new_layers: collections.defaultdict[str, dict[Any, Any]] = collections.defaultdict(
+        dict
+    )
     gname = "{}-{}".format(
         dask.utils.funcname(func), dask.base.tokenize(npargs[0], args, kwargs)
     )