class_docstr: Tests reading from local workers if `target_workers` is `local`.
code: def testCoordinatedRead(self):
      cluster = multi_process_cluster.MultiProcessCluster(
          num_local_workers=3, num_remote_workers=3
      )
      ds = dataset_ops.Dataset.range(10).repeat()
      ds = self.make_distributed_dataset(
          ds,
          cluster,
          job_name="test_job",
          consumer_index=0,
          num_consumers=3,
          target_workers="LOCAL",
      )
      with self.assertRaisesRegex(
          errors.InvalidArgumentError,
          "Coordinated reads require non-local workers",
      ):
          self.getDatasetOutput(ds)
  
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 13 for calling the LocalWorkersTest obj's underlying member method code with example usage: obj.testCoordinatedRead() without return types