class_docstr: Base class for dataset tests.
code: def _compareOutputToExpected(
      self, result_values, expected_values, assert_items_equal
  ):
      if assert_items_equal:
          # TODO(shivaniagrawal): add support for nested elements containing sparse
          # tensors when needed.
          self.assertItemsEqual(result_values, expected_values)
          return
      for i in range(len(result_values)):
          nest.assert_same_structure(
              result_values[i], expected_values[i]
          )
          for result_value, expected_value in zip(
              nest.flatten(result_values[i]),
              nest.flatten(expected_values[i]),
          ):
              self.assertValuesEqual(expected_value, result_value)
  
imports: import os
  import random
  import re
  from tensorflow.python.data.experimental.ops import lookup_ops
  from tensorflow.python.data.experimental.ops import random_access
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import test_mode
  from tensorflow.python.data.util import nest
  from tensorflow.python.data.util import structure
  from tensorflow.python.eager import context
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_dataset_ops
  from tensorflow.python.ops import gen_experimental_dataset_ops
  from tensorflow.python.ops import lookup_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the DatasetTestBase obj's underlying member method code with example usage: obj._compareOutputToExpected(result_values, expected_values, assert_items_equal) without return types