code: def test_char_cut_tf_list(self):
      t_sen_in = tf.placeholder(dtype=tf.string, shape=(None,))
      t_sen_out = char_cut_tf(t_sen_in)
      with self.cached_session(use_gpu=False, force_gpu=False) as sess:
          sen_out = sess.run(
              t_sen_out, {t_sen_in: ["我爱北京天安门", "天安门前太阳升啊"]}
          )
          logging.info([one.decode("utf-8") for one in sen_out])
          self.assertAllEqual(
              ["我 爱 北 京 天 安 门", "天 安 门 前 太 阳 升 啊"],
              [one.decode("utf-8") for one in sen_out],
          )
  
imports: import os
  from pathlib import Path
  import delta.compat
  from absl import logging
  import tempfile
  import numpy
  from delta import PACKAGE_ROOT_DIR
  from delta import utils
  from delta.data.preprocess.text_ops import clean_english_str_tf
  from delta.data.preprocess.text_ops import char_cut_tf
  from delta.data.preprocess.text_ops import tokenize_label
  from delta.data.preprocess.text_ops import tokenize_sentence
  from delta.data.preprocess.text_ops import process_one_label_dataset
  from delta.data.preprocess.text_ops import process_multi_label_dataset
label_desc: Use image node_id 6 for calling the TextOpsTest obj's underlying member method code with example usage: obj.test_char_cut_tf_list() without return types