code: def test_series_holtwinters(idx, h):
      global airpassengers, co2, nybirths
      data = np.asarray(
          [airpassengers, co2, nybirths], dtype=np.float64
      )
      cu_hw = cuml_ES(data, ts_num=3)
      cu_hw.fit()
      cu_hw.forecast(h, idx)
      cu_hw.score(idx)
      cu_hw.get_level(idx)
      cu_hw.get_trend(idx)
      cu_hw.get_season(idx)
  
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 4 for calling a global function with example usage: test_series_holtwinters(idx, h) without return types