code: def test_data_container_iter_method_should_iterate_with_none_expected_outputs():
      data_container = DACT(
          ids=[str(i) for i in range(100)],
          data_inputs=np.array(list(range(100))),
          expected_outputs=None,
      )
  
      for i, (_, data_input, expected_outputs) in enumerate(
          data_container
      ):
          assert data_input == i
          assert expected_outputs is None
  
imports: import numpy
  from neuraxle.data_container import DACT, ListDataContainer
label_desc: Use image node_id 2 for calling a global function with example usage: test_data_container_iter_method_should_iterate_with_none_expected_outputs() without return types