code: def austourists():
      # austourists dataset from fpp2 package
      # https://cran.r-project.org/web/packages/fpp2/index.html
      data = [
          30.05251300,
          19.14849600,
          25.31769200,
          27.59143700,
          32.07645600,
          23.48796100,
          28.47594000,
          35.12375300,
          36.83848500,
          25.00701700,
          30.72223000,
          28.69375900,
          36.64098600,
          23.82460900,
          29.31168300,
          31.77030900,
          35.17787700,
          19.77524400,
          29.60175000,
          34.53884200,
          41.27359900,
          26.65586200,
          28.27985900,
          35.19115300,
          42.20566386,
          24.64917133,
          32.66733514,
          37.25735401,
          45.24246027,
          29.35048127,
          36.34420728,
          41.78208136,
          49.27659843,
          31.27540139,
          37.85062549,
          38.83704413,
          51.23690034,
          31.83855162,
          41.32342126,
          42.79900337,
          55.70835836,
          33.40714492,
          42.31663797,
          45.15712257,
          59.57607996,
          34.83733016,
          44.84168072,
          46.97124960,
          60.01903094,
          38.37117851,
          46.97586413,
          50.73379646,
          61.64687319,
          39.29956937,
          52.67120908,
          54.33231689,
          66.83435838,
          40.87118847,
          51.82853579,
          57.49190993,
          65.25146985,
          43.06120822,
          54.76075713,
          59.83447494,
          73.25702747,
          47.69662373,
          61.09776802,
          66.05576122,
      ]
      index = pd.date_range(
          "1999-01-01", "2015-12-31", freq=QUARTER_END
      )
      return pd.Series(data, index)
  
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 7 for calling a global function with example usage: austourists() and returns: pd