code: def prepare_config_and_inputs_for_common(self):
      config_and_inputs = self.prepare_config_and_inputs()
      (
          config,
          trajectories,
          attention_mask,
          targets,
      ) = config_and_inputs
      inputs_dict = {
          "trajectories": trajectories,
          "attention_mask": attention_mask,
          "targets": targets,
      }
      return config, inputs_dict
  
imports: import inspect
  import unittest
  import numpy
  from transformers import TrajectoryTransformerConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, random_attention_mask
label_desc: Use image node_id 5 for calling the TrajectoryTransformerModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_common() and returns: config,  inputs_dict