code: def testStartStop(self, output_type):
      start, stop = 2, 5
      dataset = dataset_ops.Dataset.range(
          start, stop, output_type=output_type
      )
      expected_output = np.arange(
          start, stop, dtype=output_type.as_numpy_dtype
      )
      self.assertDatasetProduces(
          dataset, expected_output=expected_output
      )
      self.assertEqual(
          output_type, dataset_ops.get_legacy_output_types(dataset)
      )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import random_access
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  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.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the RangeTest obj's underlying member method code with example usage: obj.testStartStop(output_type) without return types