code: def test_saved_engineer_step_update_0(
      env_boston, protocol_0, protocol_1
  ):
      """This test would not trigger the bug tested by this module, but it is an interesting
      exception, and it should never be a problem, so it makes sense to test it
      """
      opt_0 = opt_pro(protocol_0)  # First Optimization Execution
      opt_1 = opt_pro(protocol_1)  # Second (Uninformed) Execution
      assert len(opt_1.similar_experiments) == 3
  
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 5 for calling a global function with example usage: test_saved_engineer_step_update_0(env_boston, protocol_0, protocol_1) without return types