code: def test_reproducubility():
      """
      Test validates that two sequential evaluation (fit/predict) of pipelines leads with exactly same result
      if random seed is fixed via session-scoped pytest fixture
      """
      ref_pipeline = get_regression_pipeline()
      input_data = get_regression_data()
  
      train_data, test_data = train_test_data_setup(input_data)
  
      ref_pipeline.fit_from_scratch(train_data)
      pred_1 = ref_pipeline.predict(test_data)
  
      input_data = get_regression_data()
      train_data, test_data = train_test_data_setup(input_data)
  
      ref_pipeline.unfit()
  
      ref_pipeline.fit_from_scratch(train_data)
      pred_2 = ref_pipeline.predict(test_data)
  
      assert np.allclose(pred_1.predict, pred_2.predict)
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_reproducubility() without return types