code: def run_group_models(designs=DESIGNS, contrasts=CONTRASTS):
      """Simple serial run of all the across-subject models"""
      for design in designs:
          for contrast in contrasts:
              group_analysis(design, contrast)
  
imports: import warnings
  from copy import copy
  from imp import reload
  from os.path import join
  from tempfile import NamedTemporaryFile
  import ds105_util
  import numpy
  from nipy.algorithms.statistics import onesample
  from nipy.algorithms.statistics.api import ARModel, OLSModel, isestimable, make_recarray
  from nipy.core import api
  from nipy.core.api import Image
  from nipy.core.image.image import rollimg
  from nipy.io.api import load_image, save_image
  from nipy.modalities.fmri import design
  from nipy.modalities.fmri.fmristat import hrf
label_desc: Use image node_id 8 for calling a global function with example usage: run_group_models(designs, contrasts) without return types