code: def test_decorate_plot_result():
      figure = "let's pretend I'm a figure"
  
      res = decorate_plot_result(figure=figure)
      assert res.figure() == figure
  
      res = decorate_plot_result((3, 5), figure=figure)
      assert isinstance(res, tuple)
      a, b = res
      assert a == 3
      assert b == 5
      assert res.figure() == figure
  
      res = decorate_plot_result([3, 5, 6], figure=figure)
      assert isinstance(res, list)
      assert res == [3, 5, 6]
      assert res.figure() == figure
  
      res = decorate_plot_result(
          {"brand": "Ford", "model": "Mustang", "year": 1964},
          figure=figure,
      )
      assert isinstance(res, dict)
      assert res == {"brand": "Ford", "model": "Mustang", "year": 1964}
      assert res.figure() == figure
  
      res = decorate_plot_result("Hi", figure=figure)
      assert isinstance(res, str)
      assert res == "Hi"
      assert res.figure() == figure
  
      class Foo(object):
          def __init__(self, bar=None):
              self.bar = bar
  
      res = decorate_plot_result(Foo(bar="baz"), figure=figure)
      assert isinstance(res, Foo)
      assert res.bar == "baz"
      assert res.figure() == figure
  
      res = decorate_plot_result(
          Foo(bar="baz"), figure=RAISE_ON_FIGURE_ACCESS
      )
      try:
          res.figure()
      except H2OError:
          pass
  
imports: import sys
  import matplotlib
  from h2o.automl import H2OAutoML
  from h2o.estimators import H2OGradientBoostingEstimator
  from h2o.exceptions import H2OError
  from h2o.transforms import H2OPCA
  import h2o
  from tests import pyunit_utils, test_plot_result_saving, TemporaryDirectory
  from h2o.estimators.glm import H2OGeneralizedLinearEstimator, H2OGeneralizedLinearEstimator
  from h2o.plot import decorate_plot_result, RAISE_ON_FIGURE_ACCESS
label_desc: Use image node_id 4 for calling a global function with example usage: test_decorate_plot_result() without return types