code: def testOptionsTwiceDifferentOptions(self):
      options1 = options_lib.Options()
      options1.autotune.enabled = True
      options2 = options_lib.Options()
      options2.deterministic = False
      ds = dataset_ops.Dataset.range(0)
      ds = ds.with_options(options1)
      ds = ds.with_options(options2)
      options = self._get_options(ds)
      self.assertTrue(options.autotune.enabled)
      # Explicitly check that flag is False since assertFalse allows None
      self.assertIs(options.deterministic, False)
  
imports: from absl.testing import parameterized
  from tensorflow.core.framework import dataset_options_pb2
  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 options
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import combinations
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the OptionsTest obj's underlying member method code with example usage: obj.testOptionsTwiceDifferentOptions() without return types