code: def test_sparse_nd_astype_copy():
      stypes = ["row_sparse", "csr"]
      for stype in stypes:
          x = mx.nd.zeros(
              shape=rand_shape_2d(), stype=stype, dtype="int32"
          )
          y = x.astype("float32")
          assert y.dtype == np.float32
          # Test that a new ndarray has been allocated
          assert id(x) != id(y)
  
          y = x.astype("float32", copy=False)
          assert y.dtype == np.float32
          # Test that a new ndarray has been allocated
          assert id(x) != id(y)
  
          y = x.astype("int32")
          assert y.dtype == np.int32
          # Test that a new ndarray has been allocated
          # even though they have same dtype
          assert id(x) != id(y)
  
          # Test that a new ndarray has not been allocated
          y = x.astype("int32", copy=False)
          assert id(x) == id(y)
  
          # Test the string version 'int32'
          # has the same behaviour as the np.int32
          y = x.astype(np.int32, copy=False)
          assert id(x) == id(y)
  
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 23 for calling a global function with example usage: test_sparse_nd_astype_copy() without return types