code: def test_full_tokenizer(self):
      tokenizer = Speech2TextTokenizer.from_pretrained(self.tmpdirname)
  
      tokens = tokenizer.tokenize("This is a test")
      self.assertListEqual(tokens, ["▁This", "▁is", "▁a", "▁t", "est"])
  
      self.assertListEqual(
          tokenizer.convert_tokens_to_ids(tokens),
          [289, 50, 14, 174, 386],
      )
  
      tokens = tokenizer.tokenize(
          "I was born in 92000, and this is falsé."
      )
      self.assertListEqual(
          tokens,
          # fmt: off
              [SPIECE_UNDERLINE + "I", SPIECE_UNDERLINE + "was", SPIECE_UNDERLINE + "b", "or", "n", SPIECE_UNDERLINE + "in", SPIECE_UNDERLINE + "", "9", "2", "0", "0", "0", ",", SPIECE_UNDERLINE + "and", SPIECE_UNDERLINE + "this", SPIECE_UNDERLINE + "is", SPIECE_UNDERLINE + "f", "al", "s", "é", "."],
          # fmt: on
      )
      ids = tokenizer.convert_tokens_to_ids(tokens)
      self.assertListEqual(
          ids,
          [
              12,
              25,
              88,
              59,
              28,
              23,
              11,
              4,
              606,
              351,
              351,
              351,
              7,
              16,
              70,
              50,
              76,
              84,
              10,
              4,
              8,
          ],
      )
  
      back_tokens = tokenizer.convert_ids_to_tokens(ids)
      self.assertListEqual(
          back_tokens,
          # fmt: off
              [SPIECE_UNDERLINE + "I", SPIECE_UNDERLINE + "was", SPIECE_UNDERLINE + "b", "or", "n", SPIECE_UNDERLINE + "in", SPIECE_UNDERLINE + "", "<unk>", "2", "0", "0", "0", ",", SPIECE_UNDERLINE + "and", SPIECE_UNDERLINE + "this", SPIECE_UNDERLINE + "is", SPIECE_UNDERLINE + "f", "al", "s", "<unk>", "."],
          # fmt: on
      )
  
imports: import unittest
  from pathlib import Path
  from shutil import copyfile
  from transformers import SPIECE_UNDERLINE, is_sentencepiece_available
  from transformers.models.speech_to_text import Speech2TextTokenizer
  from transformers.models.speech_to_text.tokenization_speech_to_text import VOCAB_FILES_NAMES, save_json
  from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 5 for calling the SpeechToTextTokenizerTest obj's underlying member method code with example usage: obj.test_full_tokenizer() without return types