code: def Euclidian_distance(embeddings1, embeddings2):
      # Euclidian distance
      diff = np.subtract(embeddings1, embeddings2)
      dist = np.sum(np.square(diff))
      return np.sqrt(dist)
  
imports: import tensorflow
  import numpy
  from PIL import Image
  import sys
  from scipy import misc
  import os
  import time
  from adversarialbox.attacks.tf.tools import deepfool
  import facenet
label_desc: Use image node_id 5 for calling a global function with example usage: Euclidian_distance(embeddings1, embeddings2) and returns: np