code: def vector_similarity(self, vector, items):
          
          vector = self.normalize(vector)
          items_vec = np.stack([self.norm_vectors[self.items[x]] for x in items])
          return vector.dot(items_vec.T)
docs: Compute the similarity between a vector and a set of items.