code: def test_get_season(freq):
      data = np.sin(np.arange(0, 100) * freq)
      cu_hw = cuml_ES(data)
      cu_hw.fit()
      evens = np.arange(0, 98, 2)
      odds = evens + 1
      seasons = cu_hw.get_season().to_numpy()
      base = seasons[0]
      assert pytest.approx(seasons[evens], 1e-4) == base
      assert pytest.approx(seasons[odds], 1e-4) == -1 * base
  
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 10 for calling a global function with example usage: test_get_season(freq) without return types