code: def run_fixed_models(subject_nos=SUBJECTS, designs=DESIGNS):
      """Simple serial run of all the within-subject models"""
      for subj in subject_nos:
          for design in designs:
              try:
                  fixed_effects(subj, design)
              except OSError:
                  print(
                      "Skipping subject %d, design %s" % (subj, design)
                  )
  
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 7 for calling a global function with example usage: run_fixed_models(subject_nos, designs) without return types