code: def normalize(score, alpha=15):
      """
      Normalize the score to be between -1 and 1 using an alpha that
      approximates the max expected value
      """
      norm_score = score / math.sqrt((score * score) + alpha)
      if norm_score < -1.0:
          return -1.0
      elif norm_score > 1.0:
          return 1.0
      else:
          return norm_score
  
imports: import os
  import re
  import math
  import string
  import codecs
  import json
  from itertools import product
  from inspect import getsourcefile
  from io import open
label_desc: Use image node_id 2 for calling a global function with example usage: normalize(score, alpha) and returns: unknown, int, norm_score