code: def test_tokenizer_decode_added_tokens(self):
      tokenizer = Wav2Vec2Tokenizer.from_pretrained(
          "facebook/wav2vec2-base-960h"
      )
      tokenizer.add_tokens(["!", "?"])
      tokenizer.add_special_tokens({"cls_token": "$$$"})
  
      sample_ids = [
          [
              11,
              5,
              15,
              tokenizer.pad_token_id,
              15,
              8,
              98,
              32,
              32,
              33,
              tokenizer.word_delimiter_token_id,
              32,
              32,
              33,
              34,
              34,
          ],
          [
              24,
              22,
              5,
              tokenizer.word_delimiter_token_id,
              24,
              22,
              5,
              77,
              tokenizer.pad_token_id,
              34,
              34,
          ],
      ]
      batch_tokens = tokenizer.batch_decode(sample_ids)
  
      self.assertEqual(
          batch_tokens, ["HELLO<unk>!?!?$$$", "BYE BYE<unk>$$$"]
      )
  
imports: import inspect
  import json
  import os
  import random
  import shutil
  import tempfile
  import unittest
  import numpy
  from transformers import WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST, Wav2Vec2Config, Wav2Vec2CTCTokenizer, Wav2Vec2Tokenizer
  from transformers.models.wav2vec2.tokenization_wav2vec2 import VOCAB_FILES_NAMES, Wav2Vec2CTCTokenizerOutput
  from transformers.testing_utils import require_torch, slow
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 5 for calling the Wav2Vec2TokenizerTest obj's underlying member method code with example usage: obj.test_tokenizer_decode_added_tokens() without return types