code: def testRerandomizeOnReplicate(self):
      random_seed.set_random_seed(None)
      # When no seeds are fixed, each instantiation of the dataset should
      # produce elements in a different order.
      num_epochs = 2
      num_elements = 100
      ds = dataset_ops.Dataset.range(num_elements).apply(
          shuffle_ops.shuffle_and_repeat(
              buffer_size=num_elements, count=num_epochs
          )
      )
  
      shuffle_1 = self.getDatasetOutput(ds)
      ds = self.graphRoundTrip(ds)
      shuffle_2 = self.getDatasetOutput(ds)
  
      self.assertCountEqual(shuffle_1, shuffle_2)
      self.assertNotEqual(shuffle_1, shuffle_2)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import shuffle_ops
  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.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import random_seed
  from tensorflow.python.platform import test
label_desc: Use image node_id 13 for calling the ShuffleAndRepeatTest obj's underlying member method code with example usage: obj.testRerandomizeOnReplicate() without return types