code: def testFlatMapWithRepeat(self):
      cluster = data_service_test_base.TestCluster(num_workers=3)
      ds = dataset_ops.Dataset.range(5)
  
      def flat_map_fn(_):
          return dataset_ops.Dataset.from_tensor_slices(
              ["a", "b", "c"]
          ).repeat(10)
  
      ds = ds.flat_map(flat_map_fn)
      ds = self._make_dynamic_sharding_dataset(ds, cluster)
  
      self.assertDatasetProduces(
          ds, [b"a", b"b", b"c"] * 50, 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 28 for calling the DynamicShardingTest obj's underlying member method code with example usage: obj.testFlatMapWithRepeat() and returns: dataset_ops