class_docstr: Tests reading from local workers if `target_workers` is `local`.
code: def testRepeatedDataset(self, num_local_workers, num_remote_workers):
      cluster = multi_process_cluster.MultiProcessCluster(
          num_local_workers=num_local_workers,
          num_remote_workers=num_remote_workers,
      )
      num_elements = 10
      num_repetitions = 5
      ds = self.make_distributed_range_dataset(
          num_elements, cluster, target_workers="LOCAL"
      )
      ds = ds.repeat(num_repetitions)
      self.assertDatasetProduces(
          ds,
          expected_output=num_local_workers
          * num_repetitions
          * list(range(num_elements)),
          assert_items_equal=True,
      )
  
imports: import multiprocessing
  from absl.testing import parameterized
  from tensorflow.python.data.experimental.kernel_tests.service import multi_process_cluster
  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.ops import dataset_ops
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
label_desc: Use image node_id 3 for calling the LocalWorkersTest obj's underlying member method code with example usage: obj.testRepeatedDataset(num_local_workers, num_remote_workers) without return types