code: def testMultipleCombinations(self, start, stop, step, output_type):
      dataset = dataset_ops.Dataset.range(
          start, stop, step, output_type=output_type
      )
      expected_output = np.arange(
          start, stop, step, dtype=output_type.as_numpy_dtype
      )
      len_dataset = self.evaluate(dataset.cardinality())
      for i in range(len_dataset):
          self.assertEqual(
              self.evaluate(random_access.at(dataset, index=i)),
              expected_output[i],
          )
      with self.assertRaises(errors.OutOfRangeError):
          self.evaluate(random_access.at(dataset, index=len_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 4 for calling the RangeRandomAccessTest obj's underlying member method code with example usage: obj.testMultipleCombinations(start, stop, step, output_type) without return types