code: def test_airline_allow_multiplicative_trend():
      """Allow multiplicative trend.
  
      fit <- ets(AirPassengers, model = "ZZZ",
      allow.multiplicative.trend = TRUE)
      components: "M" "M" "M" "TRUE"
      discrepancy lies in damped (True in R but False in statsmodels)
      Test failed on linux environment, fixed by fixing pandas==1.1.5 in #581
      """
      fit_result_R = ["mul", "mul", "mul"]
  
      forecaster = AutoETS(
          auto=True, sp=12, n_jobs=-1, allow_multiplicative_trend=True
      )
      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 2 for calling a global function with example usage: test_airline_allow_multiplicative_trend() without return types