Use built-in types rather than typing aliases for type annotations

cuda_bindings/cuda/bindings/_lib/utils.pyx.in

@@ -7,7 +7,6 @@ from libc.stdint cimport int32_t, uint32_t, int64_t, uint64_t
 from libc.stddef cimport wchar_t
 from libc.string cimport memcpy
 from enum import Enum
-from typing import List, Tuple
 import ctypes
 cimport cuda.bindings.cydriver as cydriver
 import cuda.bindings.driver as driver
@@ -58,7 +57,7 @@ cdef class HelperKernelParams:
                 raise RuntimeError("Argument 'kernelParams' failed to retrieve buffer through Buffer Protocol")
             self._pyobj_acquired = True
             self._ckernelParams = <void**><void_ptr>self._pybuffer.buf
-        elif isinstance(kernelParams, (Tuple)) and len(kernelParams) == 2 and isinstance(kernelParams[0], (Tuple)) and isinstance(kernelParams[1], (Tuple)):
+        elif isinstance(kernelParams, (tuple)) and len(kernelParams) == 2 and isinstance(kernelParams[0], (tuple)) and isinstance(kernelParams[1], (tuple)):
             # Hard run, construct and fill out contigues memory using provided kernel values and types based
             if len(kernelParams[0]) != len(kernelParams[1]):
                 raise TypeError("Argument 'kernelParams' has tuples with different length")
@@ -117,7 +116,7 @@ cdef class HelperKernelParams:
                     raise TypeError("Unsupported type: " + str(type(ctype)))
                 idx += 1
         else:
-            raise TypeError("Argument 'kernelParams' is not a valid type: Tuple[Tuple[Any, ...], Tuple[Any, ...]] or PyObject implimenting Buffer Protocol or Int")
+            raise TypeError("Argument 'kernelParams' is not a valid type: tuple[tuple[Any, ...], tuple[Any, ...]] or PyObject implimenting Buffer Protocol or Int")
 
     def __dealloc__(self):
         if self._pyobj_acquired is True: