code: def testShuffleAndRepeat(self):
      cluster = data_service_test_base.TestCluster(num_workers=2)
      num_repeats = 5
      num_elements = 20
      ds = (
          dataset_ops.Dataset.range(num_elements)
          .shuffle(num_elements)
          .repeat(num_repeats)
      )
      ds = self._make_dynamic_sharding_dataset(ds, cluster)
      self.assertDatasetProduces(
          ds,
          num_repeats * list(range(num_elements)),
          assert_items_equal=True,
      )
  
imports: import collections
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.kernel_tests.service import test_base
  from tensorflow.python.data.experimental.ops import data_service_ops
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.kernel_tests import tf_record_test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import readers
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 13 for calling the DynamicShardingTest obj's underlying member method code with example usage: obj.testShuffleAndRepeat() without return types