code: def _get_diff_mask(add_mask, base_mask):
      return np.logical_and(add_mask, np.logical_not(base_mask))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import logging
  from .base import CoreSaliency
  from .integrated_gradients import IntegratedGradients
  import numpy
  from skimage import segmentation
  from skimage.morphology import dilation
  from skimage.morphology import disk
  from skimage.transform import resize
label_desc: Use image node_id 5 for calling a global function with example usage: _get_diff_mask(add_mask, base_mask) and returns: np