code: def data_to_id(
      self,
      data: Any,
      prev_ext_states: Optional[_PrevExtTableStates] = None,
      shuffle_answer: bool = True,
  ):
      return convert_data_to_id(
          self.tokenizer,
          data,
          prev_ext_states,
          shuffle_answer,
          self._max_depth,
      )
  
imports: from collections import OrderedDict
  import multiprocessing
  import os
  from queue import Empty
  from typing import Any, Callable, Dict, List, Optional, Set, Tuple, Union
  from typing_extensions import TypedDict
  from ...dataset import DistributedDataset
  from ...tokenizers import CPMBeeTokenizer
  from ...utils.config import load_dataset_config
  import numpy
  import time
  from numpy.typing import NDArray
  import torch
  import bmtrain
  import importlib.machinery
  import importlib.util
  import types
  import random
label_desc: Use image node_id 4 for calling the _MixedDatasetBatchPacker obj's underlying member method code with example usage: obj.data_to_id(data, prev_ext_states, shuffle_answer) and returns: convert_data_to_id