def match()

in retail/recommendation-system/bqml-scann/index_server/matching.py [0:0]

• 6 lines of code
• 2 McCabe index (conditional complexity)

  def match(self, vector, num_matches=10):
    embedding = np.array(vector)
    query = embedding / np.linalg.norm(embedding)
    matche_indices, _ = self.scann_index.search(query, final_num_neighbors=num_matches)
    match_tokens = [self.tokens[match_idx] for match_idx in matche_indices.numpy()]
    return match_tokens