class_docstr: Tests auto-sharding datasets with tf.data service.
class_docstr_tok: ["Tests","auto-sharding","datasets","with","tf.data","service","."]
code: def testEmptyWorkerList(self):
      cluster = _make_service_cluster(
          num_workers=5, local_shard_index=1, worker_addresses=[]
      )
      dataset = dataset_ops.Dataset.range(20)
      dataset = self.make_distributed_dataset(
          dataset,
          cluster=cluster,
          processing_mode=data_service_ops.ShardingPolicy.FILE_OR_DATA,
      )
      with self.assertRaisesRegex(
          errors.NotFoundError, "Worker .* is not in the workers list."
      ):
          self.getDatasetOutput(dataset)
  
imports: from absl.testing import parameterized
  from tensorflow.core.protobuf import data_service_pb2
  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.kernel_tests.service.multi_process_cluster import MultiProcessCluster
  from tensorflow.python.data.experimental.ops import data_service_ops
  from tensorflow.python.data.experimental.ops import distribute
  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
label_desc: Use image node_id 29 for calling the AutoShardTest obj's underlying member method code with example usage: obj.testEmptyWorkerList() without return types