code: def convert_tokens_into_matrix(self, token_list):
          '''
          Create matrix of sentences.
  
          Args:
              token_list:     The list of tokens.
          
          Returns:
              2-D `np.ndarray` of sentences.
              Each row means one hot vectors of one sentence.
          '''
          return np.array(self.vectorize(token_list)).astype(np.float32f convert_tokens_into_matrix(self, token_list):
          '''
          Create matrix of sentences.
  
          Args:
              token_list:     The list of tokens.
          
          Returns:
              2-D `np.ndarray` of sentences.
              Each row means one hot vectors of one sentence.
          '''
          return np.array(self.vectorize(token_list)).astype(np.float32)
docs: Create matrix of sentences.
  
          Args:
              token_list:     The list of tokens.
          
          Returns:
              2-D `np.ndarray` of sentences.
              Each row means one hot vectors of one sentence.