code: def testMultipleInitializations(self):
      dataset = dataset_ops.Dataset.range(1000)
  
      for _ in range(5):
          multi_device_iterator = (
              multi_device_iterator_ops.OwnedMultiDeviceIterator(
                  dataset, [self._devices[1], self._devices[2]]
              )
          )
          for i, el in enumerate(multi_device_iterator):
              self.assertEqual(
                  [i * 2, i * 2 + 1], [el[0].numpy(), el[1].numpy()]
              )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import testing
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import from_generator_op
  from tensorflow.python.data.ops import multi_device_iterator_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.eager import cancellation
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import executor
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the OwnedMultiDeviceIteratorTest obj's underlying member method code with example usage: obj.testMultipleInitializations() without return types