class_docstr: Apply the jieba tokenizer to tokenize Chinese sentences.
  
  For more details, you may refer to [jieba](https://github.com/fxsjy/jieba)
class_docstr_tok: ["Apply","the","jieba","tokenizer","to","tokenize","Chinese","sentences",".","For","more","details",",","you","may","refer","to","[","jieba","]","(","https",":","\/\/github.com\/fxsjy\/jieba",")"]
docstr: Make the JiebaTokenizer pickleble. It is safe to remove the lock.
docstr_tok: ["Make","the","JiebaTokenizer","pickleble",".","It","is","safe","to","remove","the","lock","."]
code: def __getstate__(self):
      """Make the JiebaTokenizer pickleble. It is safe to remove the lock."""
      d = {
          k: v
          for k, v in self._tokenizer.__dict__.items()
          if k != "lock"
      }
      return d
  
file_path: gluon-nlp/src/gluonnlp/data/tokenizers/jieba.py
imports: from typing import Optional
  from .base import *
  from ..vocab import Vocab
  from ...utils.lazy_imports import try_import_jieba
label_desc: Use image node_id 7 for calling the JiebaTokenizer obj's underlying member method code with example usage: obj.__getstate__() and returns: d