code: def test_sparse_nd_astype():
      stypes = ["row_sparse", "csr"]
      for stype in stypes:
          x = mx.nd.zeros(
              shape=rand_shape_2d(), stype=stype, dtype="float32"
          )
          y = x.astype("int32")
          assert y.dtype == np.int32, y.dtype
  
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 22 for calling a global function with example usage: test_sparse_nd_astype() without return types