code: def test_honorary_step_from_dict_value_error(step_dict, dimension):
      with pytest.raises(
          ValueError,
          match="`step_dict` could not be found in `dimension`",
      ):
          actual = EngineerStep.honorary_step_from_dict(
              step_dict, dimension
          )
  
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 8 for calling a global function with example usage: test_honorary_step_from_dict_value_error(step_dict, dimension) without return types