code: def verify_pickleble(tokenizer, cls):
      print(tokenizer)
      # Verify if the tokenizer is pickleable and has the same behavior after dumping/loading
      tokenizer_p = pickle.loads(pickle.dumps(tokenizer))
      assert isinstance(tokenizer_p, cls)
      assert tokenizer.encode(
          SUBWORD_TEST_SAMPLES, str
      ) == tokenizer_p.encode(SUBWORD_TEST_SAMPLES, str)
  
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 11 for calling a global function with example usage: verify_pickleble(tokenizer, cls) without return types