code: def tokenize_without_mask(
      self,
      wrapped_example: List[Dict],
  ) -> InputFeatures:
      raise NotImplementedError
  
imports: import itertools
  import warnings
  import torch
  import torch.nn
  from torch.utils.data import Dataset
  from typing import Union, List, Tuple, Dict, Optional
  from transformers.data.processors.utils import InputExample, InputFeatures
  from transformers.tokenization_utils import PreTrainedTokenizer
  from collections import defaultdict
  from openprompt.utils import round_list
  import numpy
label_desc: Use image node_id 5 for calling the TokenizerWrapper obj's underlying member method code with example usage: obj.tokenize_without_mask(wrapped_example) without return types