Add dtype for numpy.uintp which is compatible with C uintptr_t (#1544)

Need this to pass C pointers to DaCe sdfg and reinterpret cast them
inside a tasklet

---------

Co-authored-by: Tal Ben-Nun <[email protected]>

dace/dtypes.py

@@ -1216,6 +1216,7 @@ def isconstant(var):
 int16 = typeclass(numpy.int16)
 int32 = typeclass(numpy.int32)
 int64 = typeclass(numpy.int64)
+uintp = typeclass(numpy.uintp)
 uint8 = typeclass(numpy.uint8)
 uint16 = typeclass(numpy.uint16)
 uint32 = typeclass(numpy.uint32)

tests/uintptr_t_test.py

@@ -0,0 +1,37 @@
+# Copyright 2019-2024 ETH Zurich and the DaCe authors. All rights reserved.
+import dace
+import ctypes
+import numpy as np
+
+
+def test_uintp_size():
+    # c_void_p: C type -> void*
+    size = ctypes.sizeof(ctypes.c_void_p)
+    # numpy.uintp: Unsigned integer large enough to fit pointer, compatible with C uintptr_t
+    size_of_np_uintp = np.uintp().itemsize
+    # Dace uintptr_t representation
+    size_of_dace_uintp = dace.uintp.bytes
+
+    assert size == size_of_np_uintp == size_of_dace_uintp
+
+
+def test_uintp_use():
+
+    @dace.program
+    def tester(arr: dace.float64[20], pointer: dace.uintp[1]):
+        with dace.tasklet(dace.Language.CPP):
+            a << arr(-1)
+            """
+            out = decltype(out)(a);
+            """
+            out >> pointer[0]
+
+    ptr = np.empty([1], dtype=np.uintp)
+    arr = np.random.rand(20)
+    tester(arr, ptr)
+    assert arr.__array_interface__['data'][0] == ptr[0]
+
+
+if __name__ == '__main__':
+    test_uintp_size()
+    test_uintp_use()