code: def test_np_ndarray_astype():
      class TestAstype(HybridBlock):
          def __init__(self, dtype, copy):
              super(TestAstype, self).__init__()
              self._dtype = dtype
              self._copy = copy
  
          def forward(self, x):
              return x.astype(dtype=self._dtype, copy=self._copy)
  
      def check_astype_equal(
          itype, otype, copy, expect_zero_copy=False, hybridize=False
      ):
          expect_zero_copy = copy is False and itype == otype
          mx_data = np.array([2, 3, 4, 5], dtype=itype)
          np_data = mx_data.asnumpy()
          test_astype = TestAstype(otype, copy)
          if hybridize:
              test_astype.hybridize()
          mx_ret = test_astype(mx_data)
          assert type(mx_ret) is np.ndarray
          np_ret = np_data.astype(dtype=otype, copy=copy)
          assert mx_ret.dtype == np_ret.dtype
          assert same(mx_ret.asnumpy(), np_ret)
          if expect_zero_copy and not hybridize:
              assert id(mx_ret) == id(mx_data)
              assert id(np_ret) == id(np_data)
  
      dtypes = [
          np.int8,
          np.uint8,
          np.int32,
          np.float16,
          np.float32,
          np.float64,
          np.bool,
          np.bool_,
          "int8",
          "uint8",
          "int32",
          "float16",
          "float32",
          "float64",
          "bool",
      ]
  
      for itype, otype in itertools.product(dtypes, dtypes):
          for copy in [True, False]:
              for hybridize in [True, False]:
                  check_astype_equal(itype, otype, copy, hybridize)
  
imports: from __future__ import absolute_import
  from __future__ import division
  import itertools
  import os
  import pytest
  import operator
  import numpy
  import mxnet
  from mxnet import np, npx, autograd
  from mxnet.gluon import HybridBlock
  from mxnet.test_utils import same, assert_almost_equal, rand_shape_nd, rand_ndarray, use_np
  from common import retry, TemporaryDirectory, xfail_when_nonstandard_decimal_separator
  from mxnet.test_utils import verify_generator, gen_buckets_probs_with_ppf, assert_exception, is_op_runnable, collapse_sum_like
  from mxnet.ndarray.ndarray import py_slice
  from mxnet.base import integer_types
label_desc: Use image node_id 9 for calling a global function with example usage: test_np_ndarray_astype() and returns: x