code: def __init__(self, regular_ids: int):
      # The special tokens: 0=PAD, 1=EOS, and 2=UNK
      self._num_special_tokens = 3
      self._num_regular_tokens = regular_ids
  
imports: import dataclasses
  import math
  import os
  from typing import Any, Callable, List, Mapping, MutableMapping, Optional, Sequence, Tuple, Union
  import numpy
  import torch
  import torch.nn.functional
  from ....utils import is_note_seq_available
  from .pipeline_spectrogram_diffusion import TARGET_FEATURE_LENGTH
label_desc: Use image node_id 1 to create a new Tokenizer object  with example: obj = Tokenizer(regular_ids)