fix ruff lints

Author: jlogan03

CHANGELOG.md

@@ -3,7 +3,8 @@
 ## 0.6.0 2025-10-05
 
 Combine python bindings project into rust crate to streamline development process.
-Implement PGO (profile-guided optimization) for python releases.
+Implement PGO (profile-guided optimization) for python releases, giving a 1.2-5x speedup for
+dimensions 1-4 at the expense of a ~2x slowdown for higher dimensions.
 
 ### Changed
 

src/interpn/multilinear_rectilinear.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-from typing import Optional
 from functools import reduce
 
 import numpy as np
@@ -95,7 +94,7 @@ def ndims(self) -> int:
     def dims(self) -> list[int]:
         return [x.data.size for x in self.grids]
 
-    def eval(self, obs: list[NDArray], out: Optional[NDArray] = None) -> NDArray:
+    def eval(self, obs: list[NDArray], out: NDArray | None = None) -> NDArray:
         """Evaluate the interpolator at a set of observation points,
         optionally writing the output into a preallocated array.
 
@@ -120,9 +119,7 @@ def eval(self, obs: list[NDArray], out: Optional[NDArray] = None) -> NDArray:
 
         return out_inner
 
-    def eval_unchecked(
-        self, obs: list[NDArray], out: Optional[NDArray] = None
-    ) -> NDArray:
+    def eval_unchecked(self, obs: list[NDArray], out: NDArray | None = None) -> NDArray:
         """Evaluate the interpolator at a set of observation points,
         optionally writing the output into a preallocated array,
         and skipping checks on the dimensionality and contiguousness

src/interpn/multilinear_regular.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-from typing import Optional
 from functools import reduce
 
 import numpy as np
@@ -99,7 +98,7 @@ def _validate_model(self):
     def ndims(self) -> int:
         return len(self.dims)
 
-    def eval(self, obs: list[NDArray], out: Optional[NDArray] = None) -> NDArray:
+    def eval(self, obs: list[NDArray], out: NDArray | None = None) -> NDArray:
         """Evaluate the interpolator at a set of observation points,
         optionally writing the output into a preallocated array.
 
@@ -123,9 +122,7 @@ def eval(self, obs: list[NDArray], out: Optional[NDArray] = None) -> NDArray:
 
         return out_inner
 
-    def eval_unchecked(
-        self, obs: list[NDArray], out: Optional[NDArray] = None
-    ) -> NDArray:
+    def eval_unchecked(self, obs: list[NDArray], out: NDArray | None = None) -> NDArray:
         """Evaluate the interpolator at a set of observation points,
         optionally writing the output into a preallocated array,
         and skipping checks on the dimensionality and contiguousness