code: def experiment_fixture(request):
      #################### Build `feature_engineer` ####################
      feature_engineer = FeatureEngineer(steps=request.param)
  
      #################### Execute `CVExperiment` ####################
      experiment = CVExperiment(
          model_initializer=AdaBoostClassifier,
          model_init_params=dict(),
          feature_engineer=feature_engineer,
      )
      return experiment
  
imports: from hyperparameter_hunter import Environment, CVExperiment, FeatureEngineer, EngineerStep
  from hyperparameter_hunter.callbacks.recipes import dataset_recorder
  import numpy
  from numpy.testing import assert_array_almost_equal
  import pandas
  from pandas.testing import assert_frame_equal
  import pytest
  from sklearn.ensemble import AdaBoostClassifier
  from sklearn.preprocessing import StandardScaler
label_desc: Use image node_id 15 for calling a global function with example usage: experiment_fixture(request) and returns: experiment