code: def testEnumerateReplicateOnSplit(self):
      num_workers = 3
      cluster = data_service_test_base.TestCluster(num_workers)
      ds = dataset_ops.Dataset.from_tensor_slices(
          ["a", "b", "c"]
      ).repeat()
      ds = ds.enumerate()
      ds = self._make_dynamic_sharding_dataset(ds, cluster)
      get_next = self.getNext(ds)
  
      counts = collections.defaultdict(int)
      while True:
          i, _ = self.evaluate(get_next())
          counts[i] += 1
          # Read until all workers have reached enumeration index 10.
          if counts[10] == num_workers:
              break
  
      for i in range(10):
          self.assertEqual(counts[i], num_workers)
  
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 23 for calling the DynamicShardingTest obj's underlying member method code with example usage: obj.testEnumerateReplicateOnSplit() without return types