code: def tokenize(text: str) -> List:
      """
      Use SimpleTokenizer to tokenize text.
      Args:
          text (`str`):
              Text to tokenize
  
      Returns:
          Tokenized infos.
      """
      tokenizer = SimpleTokenizer()
      tokens = []
      text = whitespace_clean(basic_clean(text)).lower()
      for token in re.findall(tokenizer.pat, text):
          token = "".join(
              tokenizer.byte_encoder[b] for b in token.encode("utf-8")
          )
          tokens.extend(
              bpe_token for bpe_token in tokenizer.bpe(token).split(" ")
          )
      return tokens
  
imports: import regex
  import numpy
  from typing import List
  from towhee.models.clip.simple_tokenizer import SimpleTokenizer, whitespace_clean, basic_clean
label_desc: Use image node_id 1 for calling a global function with example usage: tokenize(text) and returns: tokens