code: def test_sparse_nd_unsupported():
      nd = mx.nd.zeros((2, 2), stype="row_sparse")
      fn_slice = lambda x: x._slice(None, None)
      fn_at = lambda x: x._at(None)
      fn_reshape = lambda x: x.reshape(None)
      fns = [fn_slice, fn_at, fn_reshape]
      for fn in fns:
          try:
              fn(nd)
              assert False
          except:
              pass
  
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 27 for calling a global function with example usage: test_sparse_nd_unsupported() without return types