code: def test_all_sklearnex_models(algo: str):
      jewellery_dataframe = pycaret.datasets.get_data("jewellery")
      exp = pycaret.clustering.ClusteringExperiment()
  
      # init setup
      exp.setup(
          jewellery_dataframe,
          normalize=True,
          log_experiment=True,
          experiment_custom_tags={"tag": 1},
          log_plots=True,
          html=False,
          session_id=123,
          n_jobs=1,
      )
  
      model = exp.create_model(algo)
      parent_library = model.__module__
      assert parent_library.startswith("sklearn")
  
      model = exp.create_model(algo, engine="sklearnex")
      parent_library = model.__module__
      assert parent_library.startswith(
          "sklearnex"
      ) or parent_library.startswith("daal4py")
  
file_path: pycaret/tests/test_clustering_engines.py
imports: import daal4py
  import pytest
  import sklearn
  import pycaret.clustering
  import pycaret.datasets
label_desc: Use image node_id 4 for calling a global function with example usage: test_all_sklearnex_models(algo) without return types