code: def closest(self, vector, n=10, metric="cosine"):
          
          distances = distance(self.vectors, vector, metric=metric)
          best = np.argsort(distances)[::-1][1:n + 1]
          best_metrics = distances[best]
          return best, best_metrics
docs: Returns the closest n words to a vector
  
          Parameters
          -------
          vector : numpy.array
          n : int (default 10)
  
          Returns
          -------
          Tuple of 2 numpy.array:
              1. position in self.vocab
              2. cosine similarity