code: def test_different_pairing_styles(self):
      for tf_tokenizer in self.tf_tokenizers:
          merged_outputs = tf_tokenizer(self.paired_sentences)
          separated_outputs = tf_tokenizer(
              text=[sentence[0] for sentence in self.paired_sentences],
              text_pair=[
                  sentence[1] for sentence in self.paired_sentences
              ],
          )
          for key in merged_outputs.keys():
              self.assertTrue(
                  tf.reduce_all(
                      tf.cast(merged_outputs[key], tf.int64)
                      == separated_outputs[key]
                  )
              )
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/models/bert/test_tokenization_bert_tf.py
imports: import unittest
  from pathlib import Path
  from tempfile import TemporaryDirectory
  from transformers import AutoConfig, TFAutoModel, is_tensorflow_text_available, is_tf_available
  from transformers.models.bert.tokenization_bert import BertTokenizer
  from transformers.testing_utils import require_tensorflow_text, slow
label_desc: Use image node_id 3 for calling the BertTokenizationTest obj's underlying member method code with example usage: obj.test_different_pairing_styles() without return types