code: def default_kwargs_short():
      kwargs = default_kwargs_base()
      y = kwargs["y"][:-1]
      nobs = y.shape[0]
      work = np.zeros((nobs + 2 * kwargs["np"], 7))
      rw = np.ones(nobs)
      trend = np.zeros(nobs)
      season = np.zeros(nobs)
      kwargs.update(
          dict(
              y=y, n=nobs, rw=rw, trend=trend, season=season, work=work
          )
      )
      return kwargs
  
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 4 for calling a global function with example usage: default_kwargs_short() and returns: kwargs