code: def nothing_transform(train_targets, non_train_targets):
      return train_targets, non_train_targets, lambda _: _
  
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 4 for calling a global function with example usage: nothing_transform(train_targets, non_train_targets) and returns: train_targets,  non_train_targets,  function