code: def testDefaultArguments(self):
      components = [0, 1, 2, 3, 4]
      dataset = (
          dataset_ops.Dataset.from_tensor_slices(components)
          .shuffle(5)
          .repeat()
      )
      get_next = self.getNext(dataset)
      counts = collections.defaultdict(lambda: 0)
      for _ in range(10):
          for _ in range(5):
              counts[self.evaluate(get_next())] += 1
  
      for i in range(5):
          self.assertEqual(10, counts[i])
  
imports: import collections
  import functools
  import sys
  from absl.testing import parameterized
  import numpy
  from tensorflow.python import pywrap_sanitizers
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.checkpoint import checkpoint_management
  from tensorflow.python.data.experimental.ops import iterator_ops
  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.eager import def_function
  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 random_seed
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training import saver
label_desc: Use image node_id 3 for calling the ShuffleTest obj's underlying member method code with example usage: obj.testDefaultArguments() without return types