Use ndarray.data.ptr in the tests

Author: antonwolfy

dpnp/tests/test_dlpack.py

@@ -78,7 +78,7 @@ def test_device(self):
         x = dpnp.arange(5)
         y = dpnp.from_dlpack(x, device=x.__dlpack_device__())
         assert x.device == y.device
-        assert x.get_array()._pointer == y.get_array()._pointer
+        assert x.data.ptr == y.data.ptr
 
     def test_numpy_input(self):
         x = numpy.arange(10)

dpnp/tests/third_party/cupy/linalg_tests/test_einsum.py

@@ -359,9 +359,7 @@ def test_einsum_unary_views(self, xp, dtype):
         a = testing.shaped_arange(self.shape_a, xp, dtype)
         b = xp.einsum(self.subscripts, a)
         if xp is cupy:
-            return (
-                b.ndim == 0 or b.get_array()._pointer == a.get_array()._pointer
-            )
+            return b.ndim == 0 or b.data.ptr == a.data.ptr
         return b.ndim == 0 or b.base is a
 
     @testing.for_all_dtypes_combination(

dpnp/tests/third_party/cupy/manipulation_tests/test_shape.py

@@ -103,7 +103,7 @@ def test_reshape_zerosize(self, xp):
         a = xp.zeros((0,))
         b = a.reshape((0,))
         if xp is cupy:
-            assert a.get_array()._pointer == b.get_array()._pointer
+            assert a.data.ptr == b.data.ptr
         else:
             assert b.base is a
         return b
@@ -114,7 +114,7 @@ def test_reshape_zerosize2(self, xp, order):
         a = xp.zeros((2, 0, 3))
         b = a.reshape((5, 0, 4), order=order)
         if xp is cupy:
-            assert a.get_array()._pointer == b.get_array()._pointer
+            assert a.data.ptr == b.data.ptr
         else:
             assert b.base is a
         return b