code: def get_config(self):
      return TrajectoryTransformerConfig(
          batch_size=self.batch_size,
          n_embd=self.n_embd,
          action_dim=self.action_dim,
          observation_dim=self.observation_dim,
      )
  
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 3 for calling the TrajectoryTransformerModelTester obj's underlying member method code with example usage: obj.get_config() and returns: TrajectoryTransformerConfig