code: def default_kwargs_base():
      file_path = os.path.join(cur_dir, "results", "stl_co2.csv")
      co2 = np.asarray(pd.read_csv(file_path, header=None).iloc[:, 0])
      y = co2
      nobs = y.shape[0]
      nperiod = 12
      work = np.zeros((nobs + 2 * nperiod, 7))
      rw = np.ones(nobs)
      trend = np.zeros(nobs)
      season = np.zeros(nobs)
      return dict(
          y=y,
          n=y.shape[0],
          np=nperiod,
          ns=35,
          nt=19,
          nl=13,
          no=2,
          ni=1,
          nsjump=4,
          ntjump=2,
          nljump=2,
          isdeg=1,
          itdeg=1,
          ildeg=1,
          rw=rw,
          trend=trend,
          season=season,
          work=work,
      )
  
imports: from statsmodels.compat.pandas import MONTH_END
  import os
  import pickle
  import numpy
  from numpy.testing import assert_allclose
  import pandas
  import pytest
  from statsmodels.datasets import co2
  from statsmodels.tsa.seasonal import STL, DecomposeResult
label_desc: Use image node_id 2 for calling a global function with example usage: default_kwargs_base() and returns: dict