code: def test_t5_decoder_model_past_with_attn_mask(self):
      config_and_inputs = self.model_tester.prepare_config_and_inputs()
      self.model_tester.create_and_check_t5_decoder_model_attention_mask_past(
          *config_and_inputs
      )
  
imports: from __future__ import annotations
  import unittest
  from transformers import T5Config, is_tf_available
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 7 for calling the TFT5ModelTest obj's underlying member method code with example usage: obj.test_t5_decoder_model_past_with_attn_mask() without return types