replace all | by Optional

Author: Aaron-Preus

src/deterministic_gaussian_sampling/approximation/base_approximation.py

@@ -22,7 +22,7 @@ def _map_ctypes_numpy(self, ctype) -> type:
             raise TypeError("Unsupported ctype for mapping to numpy dtype")
 
     def _check_numpy_ndarray(
-        self, arr: numpy.ndarray | None, L: int, N: int
+        self, arr: Optional[numpy.ndarray], L: int, N: int
     ) -> ctypes.Array:
         if arr is None:
             return None

src/deterministic_gaussian_sampling/approximation/dirac_to_dirac.py

@@ -1,5 +1,6 @@
 import ctypes
 import numpy
+from typing import Optional
 import deterministic_gaussian_sampling.type_wrapper.python_variant as python_variant
 import deterministic_gaussian_sampling.type_wrapper.ctypes_wrapper as ctypes_wrapper
 from .base_approximation import BaseApproximation
@@ -30,9 +31,9 @@ def approximate_double(
         L: int,
         N: int,
         x: numpy.ndarray,
-        wX: numpy.ndarray | None = None,
-        wY: numpy.ndarray | None = None,
-        options: python_variant.ApproximateOptionsPy | None = None,
+        wX: Optional[numpy.ndarray] = None,
+        wY: Optional[numpy.ndarray] = None,
+        options: Optional[python_variant.ApproximateOptionsPy] = None,
     ) -> python_variant.ApproximationResultPy:
         cdll = self.__class__.cdll
         if cdll is None:
@@ -68,9 +69,9 @@ def approximate_function_double(
         L: int,
         N: int,
         x: numpy.ndarray,
-        wX: numpy.ndarray | None = None,
-        wY: numpy.ndarray | None = None,
-        options: python_variant.ApproximateOptionsPy | None = None,
+        wX: Optional[numpy.ndarray] = None,
+        wY: Optional[numpy.ndarray] = None,
+        options: Optional[python_variant.ApproximateOptionsPy] = None,
     ) -> python_variant.ApproximationResultPy:
         cdll = self.__class__.cdll
         if cdll is None:
@@ -106,9 +107,9 @@ def approximate_thread_double(
         L: int,
         N: int,
         x: numpy.ndarray,
-        wX: numpy.ndarray | None = None,
-        wY: numpy.ndarray | None = None,
-        options: python_variant.ApproximateOptionsPy | None = None,
+        wX: Optional[numpy.ndarray] = None,
+        wY: Optional[numpy.ndarray] = None,
+        options: Optional[python_variant.ApproximateOptionsPy] = None,
     ) -> python_variant.ApproximationResultPy:
         cdll = self.__class__.cdll
         if cdll is None:

src/deterministic_gaussian_sampling/approximation/gaussian_to_dirac.py

@@ -2,6 +2,7 @@
 import deterministic_gaussian_sampling.type_wrapper.python_variant as python_variant
 import ctypes
 import numpy
+from typing import Optional
 from .base_approximation import BaseApproximation
 
 
@@ -30,8 +31,8 @@ def approximate_double(
         L: int,
         N: int,
         x: numpy.ndarray,
-        wX: numpy.ndarray | None = None,
-        options: python_variant.ApproximateOptionsPy | None = None,
+        wX: Optional[numpy.ndarray] = None,
+        options: Optional[python_variant.ApproximateOptionsPy] = None,
     ) -> python_variant.ApproximationResultPy:
         cdll = self.__class__.cdll
         if cdll is None:
@@ -61,8 +62,8 @@ def approximate_snd_double(
         L: int,
         N: int,
         x: numpy.ndarray,
-        wX: numpy.ndarray | None = None,
-        options: python_variant.ApproximateOptionsPy | None = None,
+        wX: Optional[numpy.ndarray] = None,
+        options: Optional[python_variant.ApproximateOptionsPy] = None,
     ) -> python_variant.ApproximationResultPy:
         cdll = self.__class__.cdll
         if cdll is None: