code: def get_masked(self, mlm_probability, tokenizer, do_mask):
      assert mlm_probability is None
      assert not do_mask
      return self
  
file_path: jiant/jiant/tasks/lib/templates/mlm_premasked.py
imports: import numpy
  import torch
  from dataclasses import dataclass
  from typing import List
  from jiant.tasks.lib.templates import mlm
  from jiant.tasks.core import BaseExample, BaseTokenizedExample, BaseDataRow, BatchMixin
  from jiant.tasks.utils import ExclusiveSpan, truncate_sequences
  from jiant.tasks.lib.templates.shared import construct_single_input_tokens_and_segment_ids, create_input_set_from_tokens_and_segments, pad_single_with_feat_spec
label_desc: Use image node_id 1 for calling the Batch obj's underlying member method code with example usage: obj.get_masked(mlm_probability, tokenizer, do_mask) and returns: self