code: def additional_kwargs(class_object, kwargs):
      output_kwargs = {}
      for parameter in kwargs:
          if not hasattr(class_object, parameter):
              output_kwargs[parameter] = kwargs[parameter]
  
      return output_kwargs
  
file_path: DeepNeuro/deepneuro/utilities/util.py
imports: import glob
  import math
  import numpy
  import os
  import fnmatch
  import sys
label_desc: Use image node_id 3 for calling a global function with example usage: additional_kwargs(class_object, kwargs) and returns: output_kwargs