code: def test_blend_models_tuning():
      """Test the tuning of blended models."""
      data = get_data("airline", verbose=False)
  
      exp = TSForecastingExperiment()
      exp.setup(data=data, fh=12, fold=2, session_id=42)
      model1 = exp.create_model("naive")
      model2 = exp.create_model("ets")
      model3 = exp.create_model("lr_cds_dt")
      blender = exp.blend_models([model1, model2, model3])
      _, tuner = exp.tune_model(blender, return_tuner=True)
  
      assert len(pd.DataFrame(tuner.cv_results_)) > 1
  
file_path: pycaret/tests/test_time_series_blending.py
imports: import random
  import numpy
  import pandas
  import pytest
  from pycaret.datasets import get_data
  from pycaret.time_series import TSForecastingExperiment
label_desc: Use image node_id 2 for calling a global function with example usage: test_blend_models_tuning() without return types