code: def short_model_name(error, trend, seasonal, damped=False):
      short_name = {
          "add": "A",
          "mul": "M",
          None: "N",
          True: "d",
          False: "",
      }
      return (
          short_name[error]
          + short_name[trend]
          + short_name[damped]
          + short_name[seasonal]
      )
  
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 2 for calling a global function with example usage: short_model_name(error, trend, seasonal, damped) and returns: unknown