code: def prepare_config_and_inputs_for_common(self):
      config_and_inputs = self.prepare_config_and_inputs()
      (
          config,
          input_ids,
          attention_mask,
      ) = config_and_inputs
  
      inputs_dict = {
          "input_ids": input_ids,
          "attention_mask": attention_mask,
      }
      return config, inputs_dict
  
imports: import unittest
  from transformers import T5Config, is_tf_available
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow, tooslow
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 4 for calling the TFT5EncoderOnlyModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_common() and returns: config,  inputs_dict