code: def distances(self, word, words):
      
  
      point = self[word]
      vectors = np.asarray([self[w] for w in words])
      diff = vectors - point
      distances = np.linalg.norm(diff, axis=1)
      return distances
docs: Calculate eucledean pairwise distances between `word` and `words`.
  
      Args:
        word (string): single word.
        words (list): list of strings.
  
      Returns:
        numpy array of the distances.
  
      Note:
        L2 metric is used to calculate distances.