code: def word_url_tokenize(st, max_len=20480, max_cont_len=512):
      stp = " ".join(
          [
              w[:max_cont_len]
              if w[:max_cont_len].count(".") <= 12
              else "."
              for w in st.split()[:max_len]
          ]
      )
      try:
          with time_limit(2):
              return pre_word_url_tokenize(stp)
      except TimeoutException:
          print(
              "timeout", len(st), " --n-- ".join(st[:128].split("\n"))
          )
          print(" --n-- ".join(stp.split("\n")))
          res = ("missed page", [])
          return res
  
file_path: ParlAI/parlai/tasks/eli5/data_creation/data_utils.py
imports: import json
  import math
  import re
  import signal
  from contextlib import contextmanager
  from glob import glob
  from os.path import join
label_desc: Use image node_id 3 for calling a global function with example usage: word_url_tokenize(st, max_len, max_cont_len) and returns: pre_word_url_tokenize, res