code: def test_aicc_0_dof():
      # GH8172
      endog = [109.0, 101.0, 104.0, 90.0, 105.0]
  
      model = ETSModel(
          endog=endog,
          initialization_method="known",
          initial_level=100.0,
          initial_trend=0.0,
          error="add",
          trend="add",
          damped_trend=True,
      )
      aicc = model.fit().aicc
      assert not np.isfinite(aicc)
      assert aicc > 0
  
imports: from statsmodels.compat.pandas import QUARTER_END
  from statsmodels.compat.platform import PLATFORM_LINUX32, PLATFORM_WIN
  from itertools import product
  import json
  import pathlib
  import numpy
  from numpy.testing import assert_allclose, assert_almost_equal
  import pandas
  import pytest
  import scipy.stats
  from statsmodels.tsa.exponential_smoothing.ets import ETSModel
  import statsmodels.tsa.holtwinters
  import statsmodels.tsa.statespace.exponential_smoothing
label_desc: Use image node_id 43 for calling a global function with example usage: test_aicc_0_dof() without return types