class_docstr: Tests auto-sharding datasets with tf.data service.
class_docstr_tok: ["Tests","auto-sharding","datasets","with","tf.data","service","."]
code: def testMoreWorkersThanConfigured(self):
      worker_addresses = ["localhost:%port%"]
      with self.assertRaisesRegex(
          RuntimeError,
          "other workers are already running at the configured host",
      ):
          _ = _make_service_cluster(
              num_workers=5,
              local_shard_index=1,
              worker_addresses=worker_addresses,
          )
  
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 31 for calling the AutoShardTest obj's underlying member method code with example usage: obj.testMoreWorkersThanConfigured() without return types