code: def prepare_config_and_inputs_for_common(
      self, return_obj_labels=False
  ):
      config_and_inputs = self.prepare_config_and_inputs()
      (
          config,
          input_ids,
          visual_feats,
          bounding_boxes,
          token_type_ids,
          input_mask,
          obj_labels,
          masked_lm_labels,
          matched_label,
          ans,
          output_attentions,
      ) = config_and_inputs
  
      inputs_dict = {
          "input_ids": input_ids,
          "visual_feats": visual_feats,
          "visual_pos": bounding_boxes,
          "token_type_ids": token_type_ids,
          "attention_mask": input_mask,
      }
  
      if return_obj_labels:
          inputs_dict["obj_labels"] = obj_labels
      else:
          config.task_obj_predict = False
  
      return config, inputs_dict
  
imports: import os
  import tempfile
  import unittest
  import numpy
  from transformers import LxmertConfig, is_tf_available
  from transformers.testing_utils import require_tf, slow, tooslow
  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 TFLxmertModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_common(return_obj_labels) and returns: config,  inputs_dict