class_docstr: Tests reading from local workers if `target_workers` is `local`.
code: def testMultipleEpochs(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
      ds = self.make_distributed_range_dataset(
          num_elements, cluster, target_workers="LOCAL"
      )
      for _ in range(10):
          self.assertDatasetProduces(
              ds,
              num_local_workers * 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 5 for calling the LocalWorkersTest obj's underlying member method code with example usage: obj.testMultipleEpochs(num_local_workers, num_remote_workers) without return types