code: def test_saved_engineer_step_update_1(
      env_boston, protocol_0, protocol_1
  ):
      """This test is exactly the same as the previous tests, except it uses an informed protocol,
      instead of `DummyOptPro` as the second protocol - This should trigger the bug
      """
      opt_0 = opt_pro(protocol_0)  # First Optimization Execution
      opt_1 = opt_pro(protocol_1)
  
imports: from hyperparameter_hunter import Environment, FeatureEngineer, EngineerStep, __version__
  from hyperparameter_hunter import CVExperiment, Real, Integer, Categorical
  from hyperparameter_hunter import BayesianOptPro, DummyOptPro, ExtraTreesOptPro
  from hyperparameter_hunter.utils.learning_utils import get_boston_data
  from hyperparameter_hunter.utils.version_utils import HHVersion
  from os import makedirs
  import pytest
  from shutil import rmtree
  from xgboost import XGBRegressor
label_desc: Use image node_id 6 for calling a global function with example usage: test_saved_engineer_step_update_1(env_boston, protocol_0, protocol_1) without return types