code: def is_chinese(word: str):
      # word like '180' or '身高' or '神'
      for char in word:
          char = ord(char)
          if not _is_chinese_char(char):
              return 0
      return 1
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/examples/legacy/run_chinese_ref.py
imports: import argparse
  import json
  from typing import List
  from ltp import LTP
  from transformers import BertTokenizer
label_desc: Use image node_id 2 for calling a global function with example usage: is_chinese(word) and returns: int, int