code: def testMakeInputFnIteratorWithCallable(self, distribution):
      def fn():
          dataset = dataset_ops.Dataset.range(10)
          it = dataset_ops.make_one_shot_iterator(dataset)
          return it.get_next
  
      expected_values = [[i] for i in range(10)]
      input_fn = self._input_fn_to_test_input_context(
          fn,
          expected_num_replicas_in_sync=1,
          expected_num_input_pipelines=1,
          expected_input_pipeline_id=0,
      )
      iterator = distribution.make_input_fn_iterator(input_fn)
      self._test_input_fn_iterator(
          iterator,
          distribution.extended.worker_devices,
          expected_values,
          test_reinitialize=False,
          ignore_order=True,
      )
  
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 6 for calling the OneDeviceStrategyTest obj's underlying member method code with example usage: obj.testMakeInputFnIteratorWithCallable(distribution) and returns: it