code: def googl_test(bins_1, bins_2):
      """Google-paper test
  
      Reference link: https://mlsys.org/Conferences/2019/doc/2019/167.pdf
  
      :param bins_1: first array of bin entries
      :param bins_2: second array of entries
  
      :return: maximum difference between the two entry distributions
      :rtype: float
      """
  
      def dist(bins):
          sum_ = np.sum(bins)
          return bins / sum_ if sum_ else bins
  
      return np.max(np.abs(dist(bins_1) - dist(bins_2)))
  
file_path: popmon/popmon/analysis/comparison/comparisons.py
imports: import numpy
  from scipy import stats
  from popmon.base.registry import Registry
label_desc: Use image node_id 1 for calling a global function with example usage: googl_test(bins_1, bins_2) and returns: np, unknown