code: def test_pipeline_postprocess_multiple_one_hot_to_labels():
      pipeline = pipeline_module.Pipeline(
          inputs=[[]],
          outputs=[
              [preprocessors.OneHotEncoder(["a", "b", "c"])],
              [preprocessors.OneHotEncoder(["a", "b", "c"])],
          ],
      )
      result = pipeline.postprocess([np.eye(3), np.eye(3)])
      assert np.array_equal(result[0], [["a"], ["b"], ["c"]])
      assert np.array_equal(result[1], [["a"], ["b"], ["c"]])
  
imports: import numpy
  from autokeras import pipeline
  from autokeras import preprocessors
label_desc: Use image node_id 2 for calling a global function with example usage: test_pipeline_postprocess_multiple_one_hot_to_labels() without return types