          return self.data.shape
  
      @property
      def size(self):
          """Return rows*dims"""
          return self.data.shape[0] * self.data.shape[1]
  
      @property
      def is_full(self):
          """Returns True if no keys are available for new keys."""
 
</s> remove         """Returns True if no keys are available for new keys."""
 </s> add         """RETURNS (bool): `True` if no slots are available for new keys.""" </s> remove         """Returns True if no keys are available for new keys."""
 </s> add         """RETURNS (int) The number of keys in the table. Note that this is the
        number of all keys, not just unique vectors.""" </s> remove         if return_rows and return_scores:
            return (keys, best_rows, scores)
        elif return_rows:
            return (keys, best_rows)
        elif return_scores:
            return (keys, scores)
        else:
            return keys
 </s> add         return (keys, best_rows, scores) </s> remove     def most_similar(self, queries, *, return_scores=False, return_rows=False,
            batch_size=1024):
        '''For each of the given vectors, find the single entry most similar
 </s> add     def most_similar(self, queries, *, batch_size=1024):
        """For each of the given vectors, find the single entry most similar </s> remove         key (unicode / int): The key to add.
        vector (numpy.ndarray / None): A vector to add for the key.
        row (int / None): The row-number of a vector to map the key to.
 </s> add         key (int): The key to add.
        vector (ndarray / None): A vector to add for the key.
        row (int / None): The row number of a vector to map the key to.
        RETURNS (int): The row the vector was added to.
        """RETURNS (int): rows*dims"""
          return self.data.shape
  
      @property
      def size(self):
        """RETURNS (int): rows*dims"""
          return self.data.shape[0] * self.data.shape[1]
  
      @property
      def is_full(self):
          """Returns True if no keys are available for new keys."""
keep keep keep keep replace keep keep keep keep keep
 Update docstrings and simplify most_similar 
spacy/vectors.pyx