code: def test_sparse_nd_transpose():
      npy = np.random.uniform(-10, 10, rand_shape_2d())
      stypes = ["csr", "row_sparse"]
      for stype in stypes:
          nd = mx.nd.array(npy).tostype(stype)
          assert_almost_equal(npy.T, (nd.T).asnumpy())
  
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 19 for calling a global function with example usage: test_sparse_nd_transpose() without return types