code: def verify_encode_token(tokenizer, all_sentences, all_gt_tokens):
      for sentences, gt_tokens in [
          (all_sentences[0], all_gt_tokens[0]),
          (all_sentences, all_gt_tokens),
      ]:
          tokenizer_encode_ret = tokenizer.encode(sentences)
          assert (
              tokenizer_encode_ret == gt_tokens
          ), "Whole Encoded: {}, \nWhole GT: {}".format(
              tokenizer_encode_ret, gt_tokens
          )
  
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 5 for calling a global function with example usage: verify_encode_token(tokenizer, all_sentences, all_gt_tokens) without return types