code: def test_sparse_nd_not_equal():
      for stype in ["row_sparse", "csr"]:
          shape = rand_shape_2d()
          x = mx.nd.zeros(shape=shape, stype=stype)
          y = sparse_nd_ones(shape, stype)
          z = x != y
          assert (z.asnumpy() == np.ones(shape)).all()
          z = 0 != y
          assert (z.asnumpy() == np.ones(shape)).all()
          assert z.stype == stype
          z = 1 != y
          assert (z.asnumpy() == np.zeros(shape)).all()
          assert z.stype == "default"
  
imports: import pickle
  from mxnet.ndarray import NDArray
  import mxnet
  from mxnet.test_utils import *
  from common import random_seed
  from mxnet.base import mx_real_t
  from numpy.testing import assert_allclose
  import numpy.random
  import numpy
  import scipy.sparse
  from common import assertRaises, xfail_when_nonstandard_decimal_separator
  from mxnet.ndarray.sparse import RowSparseNDArray, CSRNDArray
  import pytest
label_desc: Use image node_id 9 for calling a global function with example usage: test_sparse_nd_not_equal() without return types