ci: pre-commit autoupdate

.pre-commit-config.yaml

@@ -6,19 +6,19 @@ repos:
   - id: trailing-whitespace
   - id: no-commit-to-branch
 - repo: https://github.com/astral-sh/ruff-pre-commit
-  rev: v0.15.22
+  rev: v0.16.0
   hooks:
   - id: ruff-check
     args: [--fix, --exit-non-zero-on-fix]
   - id: ruff-check
     args: [--preview, --select=CPY]
   - id: ruff-format
 - repo: https://github.com/tox-dev/pyproject-fmt
-  rev: v2.25.3
+  rev: v2.26.0
   hooks:
   - id: pyproject-fmt
 - repo: https://github.com/biomejs/pre-commit
-  rev: v2.5.4
+  rev: v2.5.5
   hooks:
   - id: biome-format
 - repo: https://github.com/pre-commit/mirrors-mypy

src/fast_array_utils/_plugins/numba_sparse.py

@@ -183,7 +183,7 @@ def box_matrix(typ: CSType, val: NativeValue, c: BoxContext) -> Value:
 
 # See https://numba.readthedocs.io/en/stable/extending/overloading-guide.html
 @overload(np.shape)
-def overload_sparse_shape(x: CSType) -> None | Callable[[CSType], nbtypes.UniTuple]:
+def overload_sparse_shape(x: CSType) -> Callable[[CSType], nbtypes.UniTuple] | None:
     if not isinstance(x, CSType):  # pragma: no cover
         return None
 
@@ -195,7 +195,7 @@ def shape(x: CSType) -> nbtypes.UniTuple:  # pragma: no cover
 
 
 @overload_attribute(CSType, "ndim")
-def overload_sparse_ndim(inst: CSType) -> None | Callable[[CSType], int]:
+def overload_sparse_ndim(inst: CSType) -> Callable[[CSType], int] | None:
     if not isinstance(inst, CSType):  # pragma: no cover
         return None
 
@@ -207,7 +207,7 @@ def ndim(inst: CSType) -> int:  # pragma: no cover
 
 
 @intrinsic
-def _sparse_copy(
+def _sparse_copy(  # noqa: PLR0917
     typingctx: TypingContext,  # noqa: ARG001
     inst: CSType,
     data: nbtypes.Array,  # noqa: ARG001
@@ -241,7 +241,7 @@ def _construct(
 
 
 @overload_method(CSType, "copy")
-def overload_sparse_copy(inst: CSType) -> None | Callable[[CSType], CSType]:
+def overload_sparse_copy(inst: CSType) -> Callable[[CSType], CSType] | None:
     if not isinstance(inst, CSType):  # pragma: no cover
         return None
 

tests/test_numba.py

@@ -162,14 +162,14 @@ def compiled(*_args: object, **_kwargs: object) -> bool:
     ],
 )
 def test_probe_needed(
+    *,
     monkeypatch: pytest.MonkeyPatch,
     platform_name: str,
     machine: str,
     loaded: tuple[str, ...],
     layer: fa_numba.ThreadingLayer | fa_numba.TheadingCategory,
     priority: tuple[fa_numba.ThreadingLayer, ...],
     layers: dict[fa_numba.TheadingCategory, set[fa_numba.ThreadingLayer]] | None,
-    *,
     expected: bool,
 ) -> None:
     _set_runtime(monkeypatch, platform_name=platform_name, machine=machine, loaded=loaded, layer=layer, priority=priority, layers=layers)

tests/test_stats.py

@@ -160,6 +160,7 @@ def test_ndim_error(
 
 @pytest.mark.array_type(skip=ATS_SPARSE_DS)
 def test_sum(
+    *,
     request: pytest.FixtureRequest,
     array_type: ArrayType[CpuArray | GpuArray | DiskArray | types.DaskArray],
     dtype_in: type[DTypeIn],