class_docstr: Tests reading from local workers if `target_workers` is `local`.
code: def testDynamicSharding(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 = 100
      ds = self.make_distributed_range_dataset(
          num_elements,
          cluster,
          processing_mode=data_service_ops.ShardingPolicy.DYNAMIC,
          target_workers="LOCAL",
      )
      self.assertDatasetProduces(
          ds, 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 6 for calling the LocalWorkersTest obj's underlying member method code with example usage: obj.testDynamicSharding(num_local_workers, num_remote_workers) without return types