Remove test_reduce_struct_type from test_reduce.py

python/cuda_parallel/tests/test_reduce.py

@@ -12,7 +12,6 @@
 
 import cuda.parallel.experimental.algorithms as algorithms
 import cuda.parallel.experimental.iterators as iterators
-from cuda.parallel.experimental.struct import gpu_struct
 
 
 def random_int(shape, dtype):
@@ -551,30 +550,3 @@ def binary_op(x, y):
     d_in = cp.zeros(size)[::2]
     with pytest.raises(ValueError, match="Non-contiguous arrays are not supported."):
         _ = algorithms.reduce_into(d_in, d_out, binary_op, h_init)
-
-
-def test_reduce_struct_type():
-    @gpu_struct
-    class Pixel:
-        r: np.int32
-        g: np.int32
-        b: np.int32
-
-    def max_g_value(x, y):
-        return x if x.g > y.g else y
-
-    d_rgb = cp.random.randint(0, 256, (10, 3), dtype=np.int32).view(Pixel.dtype)
-    d_out = cp.empty(1, Pixel.dtype)
-
-    h_init = Pixel(0, 0, 0)
-
-    reduce_into = algorithms.reduce_into(d_rgb, d_out, max_g_value, h_init)
-    temp_storage_bytes = reduce_into(None, d_rgb, d_out, len(d_rgb), h_init)
-
-    d_temp_storage = cp.empty(temp_storage_bytes, dtype=np.uint8)
-    _ = reduce_into(d_temp_storage, d_rgb, d_out, len(d_rgb), h_init)
-
-    h_rgb = d_rgb.get()
-    expected = h_rgb[h_rgb.view("int32")[:, 1].argmax()]
-
-    np.testing.assert_equal(expected["g"], d_out.get()["g"])