code: def process_normalization(cls, parse_group):
          
          if ('norm_options' not in parse_group): return None
          opts = parse_group['norm_options'][0].asList()
          if opts == []: return None
  
          options = ['+framewise', '-framewise', '+axiswise', '-axiswise']
  
          for normopt in options:
              if opts.count(normopt) > 1:
                  raise SyntaxError("Normalization specification must not"
                                    " contain repeated %r" % normopt)
  
          if not all(opt in options for opt in opts):
              raise SyntaxError("Normalization option not one of %s"
                                % ", ".join(options))
          excluded = [('+framewise', '-framewise'), ('+axiswise', '-axiswise')]
          for pair in excluded:
              if all(exclude in opts for exclude in pair):
                  raise SyntaxError("Normalization specification cannot"
                                    " contain both %s and %s" % (pair[0], pair[1]))
  
          # If unspecified, default is -axiswise and -framewise
          if len(opts) == 1 and opts[0].endswith('framewise'):
              axiswise = False
              framewise = True if '+framewise' in opts else False
          elif len(opts) == 1 and opts[0].endswith('axiswise'):
              framewise = False
              axiswise = True if '+axiswise' in opts else False
          else:
              axiswise = True if '+axiswise' in opts else False
              framewise = True if '+framewise' in opts else False
  
          return dict(axiswise=axiswise,
                      framewise=framewise)
docs: Given a normalization parse group (i.e. the contents of the
          braces), validate the option list and compute the appropriate
          integer value for the normalization plotting option.