code: def random_inject_space(sentence):
      words = sentence.split()
      ret = ""
      for i, word in enumerate(words):
          ret += word
          if i < len(words) - 1:
              n_space_tokens = random.randint(1, 10)
              for j in range(n_space_tokens):
                  ret += random.choice([" ", "\t", "\r", "\n"])
      return ret
  
imports: import pytest
  import random
  import collections
  import pickle
  from uuid import uuid4
  import os
  import unicodedata
  import tempfile
  from pkg_resources import parse_version
  import gluonnlp
  from gluonnlp.data.tokenizers import WhitespaceTokenizer, MosesTokenizer, JiebaTokenizer, SpacyTokenizer, SubwordNMTTokenizer, YTTMTokenizer, SentencepieceTokenizer, HuggingFaceBPETokenizer, HuggingFaceByteBPETokenizer, HuggingFaceWordPieceTokenizer, HuggingFaceTokenizer
  from gluonnlp.base import get_repo_url
  from gluonnlp.data import Vocab, load_vocab
  from gluonnlp.utils.misc import download
  from gluonnlp.models.t5 import T5Tokenizer
label_desc: Use image node_id 1 for calling a global function with example usage: random_inject_space(sentence) and returns: ret