code: def prepare_config_and_inputs_for_common(self):
      config_and_inputs = self.prepare_config_and_inputs()
      (
          config,
          input_ids,
          bbox,
          image,
          token_type_ids,
          input_mask,
          sequence_labels,
          token_labels,
      ) = config_and_inputs
      inputs_dict = {
          "input_ids": input_ids,
          "bbox": bbox,
          "image": image,
          "token_type_ids": token_type_ids,
          "attention_mask": input_mask,
      }
      return config, inputs_dict
  
imports: import os
  import random
  import tempfile
  import unittest
  from transformers.testing_utils import require_detectron2, require_torch, require_torch_multi_gpu, slow, torch_device
  from transformers.utils import is_detectron2_available, is_torch_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, ids_tensor, random_attention_mask
label_desc: Use image node_id 7 for calling the LayoutLMv2ModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_common() and returns: config,  inputs_dict