code: def testReplicateDataset(self, distribution):
      if tf2.enabled() and not context.executing_eagerly():
          self.skipTest(
              "Skipping test since we do not support graph mode in TF 2"
          )
      dataset_fn = lambda: dataset_ops.Dataset.range(10)
      expected_values = [[i] for i in range(10)]
      input_fn = self._input_fn_to_test_input_context(
          dataset_fn,
          expected_num_replicas_in_sync=1,
          expected_num_input_pipelines=1,
          expected_input_pipeline_id=0,
      )
      self._test_input_fn_iterable(
          distribution, input_fn, expected_values
      )
  
imports: from tensorflow.python import tf2
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import strategy_combinations
  from tensorflow.python.distribute import strategy_test_lib
  from tensorflow.python.distribute.v1 import input_lib
  from tensorflow.python.eager import context
  from tensorflow.python.eager import test
  from tensorflow.python.framework import device
label_desc: Use image node_id 4 for calling the OneDeviceStrategyTest obj's underlying member method code with example usage: obj.testReplicateDataset(distribution) without return types