code: def __init__(self, config, *args, **kwargs):
      super().__init__(config, *args, **kwargs)
      self._probability = config.get("mask_probability", 0)
  
imports: import copy
  import random
  from typing import Any, Dict, List, Optional, Tuple, Union
  import torch
  from mmf.common.registry import registry
  from mmf.common.sample import Sample, SampleList
  from mmf.datasets.processors.processors import BaseProcessor
label_desc: Use image node_id 1 to create a new BertTokenizer object from inherited base classes: MaskedTokenProcessor with example: obj = BertTokenizer(config)