code: def similarize_distance(distance_measure: Callable) -> Callable:
      """
      Takes a distance measure and converts it into a information_density measure.
  
      Args:
          distance_measure: The distance measure to be converted into information_density measure.
  
      Returns:
          The information_density measure obtained from the given distance measure.
      """
  
      def sim(*args, **kwargs):
          return 1 / (1 + distance_measure(*args, **kwargs))
  
      return sim
  
imports: from typing import Callable, Union
  import numpy
  from scipy.spatial.distance import cosine, euclidean
  from sklearn.metrics.pairwise import pairwise_distances
  from modAL.utils.data import modALinput
label_desc: Use image node_id 1 for calling a global function with example usage: similarize_distance(distance_measure) and returns: sim, unknown