code: def _make_dynamic_sharding_dataset(self, dataset, cluster):
      return self.make_distributed_dataset(
          dataset,
          cluster,
          processing_mode=data_service_ops.ShardingPolicy.DYNAMIC,
          job_name="job_name",
      )
  
imports: import collections
  from absl.testing import parameterized
  import numpy
  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.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
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the DynamicShardingTest obj's underlying member method code with example usage: obj._make_dynamic_sharding_dataset(dataset, cluster) and returns: self