code: def load(self, path: str, k: Optional[int] = None):
          
          load_time_start = time.time()
          with open(path, 'rb') as inp:
              _lex = np.load(inp)
          loaded_k = _lex.shape[1]
          if k is not None:
              top_k = min(k, loaded_k)
              if k > loaded_k:
                  logger.warning("Can not load top-%d translations from lexicon that "
                                 "contains at most %d entries per source.", k, loaded_k)
          else:
              top_k = loaded_k
          self.lex = np.zeros((len(self.vocab_source), top_k), dtype=_lex.dtype)
          for src_id, trg_ids in enumerate(_lex):
              self.lex[src_id, :] = np.sort(trg_ids[:top_k])
          load_time = time.time() - load_time_start
          logger.info("Loaded top-%d lexicon from \"%s\" in %.4fs.", top_k, path, load_time)
docs: Load lexicon from Numpy array file. The top-k target ids will be sorted by increasing target id.
  
          :param path: Path to Numpy array file.
          :param k: Optionally load less items than stored in path.