code: def most_similar(self,
                       items,
                       num=10,
                       batch_size=100,
                       show_progressbar=False,
                       return_names=True):
          
          # This line allows users to input single items.
          # We used to rely on string identities, but we now also allow
          # anything hashable as keys.
          # Might fail if a list of passed items is also in the vocabulary.
          # but I can't think of cases when this would happen, and what
          # user expectations are.
          try:
              if items in self.items:
                  items = [items]
          except TypeError:
              pass
          x = np.stack([self.norm_vectors[self.items[x]] for x in items])
  
          result = self._batch(x,
                               batch_size,
                               num+1,
                               show_progressbar,
                               return_names)
  
          # list call consumes the generator.
          return [x[1:] for x in result]
docs: Return the num most similar items to a given list of items.
  
          Parameters
          ----------
          items : list of objects or a single object.
              The items to get the most similar items to.
          num : int, optional, default 10
              The number of most similar items to retrieve.
          batch_size : int, optional, default 100.
              The batch size to use. 100 is a good default option. Increasing
              the batch size may increase the speed.
          show_progressbar : bool, optional, default False
              Whether to show a progressbar.
          return_names : bool, optional, default True
              Whether to return the item names, or just the distances.
  
          Returns
          -------
          sim : array
              For each items in the input the num most similar items are returned
              in the form of (NAME, DISTANCE) tuples. If return_names is false,
              the returned list just contains distances.