code: def prepare_config_and_inputs_for_common(self):
      config_and_inputs = self.prepare_config_and_inputs()
      (
          config,
          attn_bias,
          attn_edge_type,
          spatial_pos,
          in_degree,
          out_degree,
          input_nodes,
          input_edges,
          labels,
      ) = config_and_inputs
      inputs_dict = {
          "attn_bias": attn_bias,
          "attn_edge_type": attn_edge_type,
          "spatial_pos": spatial_pos,
          "in_degree": in_degree,
          "out_degree": out_degree,
          "input_nodes": input_nodes,
          "input_edges": input_edges,
          "labels": labels,
      }
      return config, inputs_dict
  
imports: import copy
  import inspect
  import os
  import tempfile
  import unittest
  from transformers import GraphormerConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 6 for calling the GraphormerModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_common() and returns: config,  inputs_dict