code: def index(self, text, terms=None, **kwargs):
  
          
  
          self.clear()
  
          # By default, use all terms.
          terms = terms or text.terms.keys()
  
          pairs = combinations(terms, 2)
          count = comb(len(terms), 2)
  
          for t1, t2 in bar(pairs, expected_size=count, every=1000):
  
              # Set the Bray-Curtis distance.
              score = text.score_braycurtis(t1, t2, **kwargs)
              self.set_pair(t1, t2, score)
docs: Index all term pair distances.
  
          Args:
              text (Text): The source text.
              terms (list): Terms to index.