code: def tokenize(
      content,
      token_min_len=TOKEN_MIN_LEN,
      token_max_len=TOKEN_MAX_LEN,
      lower=True,
  ):
      """Tokenize a piece of text from Wikipedia.
  
      Set `token_min_len`, `token_max_len` as character length (not bytes!) thresholds for individual tokens.
  
      Parameters
      ----------
      content : str
          String without markup (see :func:`~gensim.corpora.wikicorpus.filter_wiki`).
      token_min_len : int
          Minimal token length.
      token_max_len : int
          Maximal token length.
      lower : bool
           Convert `content` to lower case?
  
      Returns
      -------
      list of str
          List of tokens from `content`.
  
      """
      # TODO maybe ignore tokens with non-latin characters? (no chinese, arabic, russian etc.)
      return [
          utils.to_unicode(token)
          for token in utils.tokenize(
              content, lower=lower, errors="ignore"
          )
          if token_min_len <= len(token) <= token_max_len
          and not token.startswith("_")
      ]
  
imports: import bz2
  import logging
  import multiprocessing
  import re
  import signal
  from pickle import PicklingError
  from xml.etree.ElementTree import iterparse
  from gensim import utils
  from gensim.corpora.dictionary import Dictionary
  from gensim.corpora.textcorpus import TextCorpus
label_desc: Use image node_id 7 for calling a global function with example usage: tokenize(content, token_min_len, token_max_len, lower) and returns: unknown