code: def jaccard_distance(set1, set2):
      """Calculate Jaccard distance between two sets.
  
      Parameters
      ----------
      set1 : set
          Input set.
      set2 : set
          Input set.
  
      Returns
      -------
      float
          Jaccard distance between `set1` and `set2`.
          Value in range `[0, 1]`, where 0 is min distance (max similarity) and 1 is max distance (min similarity).
      """
  
      union_cardinality = len(set1 | set2)
      if union_cardinality == 0:  # Both sets are empty
          return 1.0
  
      return 1.0 - float(len(set1 & set2)) / float(union_cardinality)
  
imports: from __future__ import with_statement
  import logging
  import math
  from gensim import utils
  import numpy
  import scipy.sparse
  from scipy.stats import entropy
  from scipy.linalg import get_blas_funcs, triu
  from scipy.linalg.lapack import get_lapack_funcs
  from scipy.special import psi
label_desc: Use image node_id 25 for calling a global function with example usage: jaccard_distance(set1, set2) and returns: unknown, int