code: def mask_token(self, id):
      return f"extra{id}"
  
imports: from openprompt.pipeline_base import PromptForGeneration
  from openprompt.prompts.generation_verbalizer import GenerationVerbalizer
  from tqdm import tqdm
  from openprompt.data_utils import PROCESSORS
  import torch
  from openprompt.data_utils.utils import InputExample
  import argparse
  import numpy
  from openprompt import PromptDataLoader
  from openprompt.prompts import ManualVerbalizer
  from openprompt.prompts import SoftTemplate
  from openprompt import PromptForClassification
  import time
  import os
  import re
  from openprompt.utils.crossfit_metrics import evaluate
  from transformers import BertTokenizer, MT5ForConditionalGeneration, Text2TextGenerationPipeline
  from openprompt.plms.seq2seq import T5TokenizerWrapper
  from openprompt.prompts import ManualTemplate
  from transformers import AdamW, get_linear_schedule_with_warmup, get_constant_schedule_with_warmup
  from transformers.optimization import Adafactor
label_desc: Use image node_id 1 for calling the T5BertTokenizerWrapper obj's underlying member method code with example usage: obj.mask_token(id) and returns: str, id