code: def test_scitype(coerce_to_list):
      """Test that the scitype function recovers the correct scitype(s)."""
      from sktime.forecasting.arima import ARIMA
      from sktime.forecasting.naive import NaiveForecaster
      from sktime.transformations.series.exponent import (
          ExponentTransformer,
      )
  
      # test that scitype works for classes with soft dependencies
      result_arima = scitype(ARIMA, coerce_to_list=coerce_to_list)
      if coerce_to_list:
          assert isinstance(result_arima, list)
          assert "forecaster" == result_arima[0]
      else:
          assert "forecaster" == result_arima
  
      # test that scitype works for instances
      result_naive = scitype(
          NaiveForecaster(), coerce_to_list=coerce_to_list
      )
      if coerce_to_list:
          assert isinstance(result_naive, list)
          assert "forecaster" == result_naive[0]
      else:
          assert "forecaster" == result_naive
  
      # test transformer object
      result_transformer = scitype(
          ExponentTransformer, coerce_to_list=coerce_to_list
      )
      if coerce_to_list:
          assert isinstance(result_transformer, list)
          assert "transformer" == result_transformer[0]
      else:
          assert "transformer" == result_transformer
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_scitype(coerce_to_list) without return types