code: def test_inputs_holtwinters(datatype):
      global airpassengers, co2, nybirths
      data = np.asarray([airpassengers, co2, nybirths], dtype=datatype)
  
      cu_hw = cuml_ES(data, ts_num=3)
      cu_hw.fit()
      cu_hw.forecast(5)
      cu_hw.score()
      cu_hw.get_level(0)
      cu_hw.get_trend(1)
      cu_hw.get_season(2)
  
file_path: cuml/python/cuml/tests/test_holtwinters.py
imports: from sklearn.metrics import r2_score
  from statsmodels.tsa.holtwinters import ExponentialSmoothing
  from cuml.tsa.holtwinters import ExponentialSmoothing
  import pytest
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 7 for calling a global function with example usage: test_inputs_holtwinters(datatype) without return types