code: def test_airline_default():
      """Default condition.
  
      fit <- ets(AirPassengers, model = "ZZZ")
      components: "M" "A" "M" "TRUE" (error, trend, season, damped)
      discrepancy lies in damped (True in R but False in statsmodels)
      """
      fit_result_R = ["mul", "add", "mul"]
  
      forecaster = AutoETS(auto=True, sp=12, n_jobs=-1)
      forecaster.fit(y)
      fitted_forecaster = forecaster._fitted_forecaster
      fit_result = [
          fitted_forecaster.error,
          fitted_forecaster.trend,
          fitted_forecaster.seasonal,
      ]
  
      assert_array_equal(fit_result_R, fit_result)
  
file_path: sktime/sktime/forecasting/tests/test_ets.py
imports: import numpy
  import pandas
  import pytest
  from numpy.testing import assert_array_equal
  from sktime.datasets import load_airline
  from sktime.forecasting.ets import AutoETS
  from sktime.tests.test_switch import run_test_for_class
label_desc: Use image node_id 1 for calling a global function with example usage: test_airline_default() without return types