docstr: If you are training a seq2seq model that expects a decoder_prefix token make sure it is prepended to decoder_input_ids
docstr_tok: ["If","you","are","training","a","seq2seq","model","that","expects","a","decoder_prefix","token","make","sure","it","is","prepended","to","decoder_input_ids"]
code: def test_special_tokens_as_you_expect(self):
      """If you are training a seq2seq model that expects a decoder_prefix token make sure it is prepended to decoder_input_ids"""
      pass
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/models/layoutlm/test_tokenization_layoutlm.py
imports: import os
  import unittest
  from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
  from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
  from transformers.testing_utils import require_tokenizers
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 5 for calling the LayoutLMTokenizationTest obj's underlying member method code with example usage: obj.test_special_tokens_as_you_expect() without return types