code: def __init__(
      self,
      parent,
      batch_size=13,
      n_embd=128,
      action_dim=6,
      observation_dim=17,
      is_training=True,
  ):
      self.parent = parent
      self.batch_size = batch_size
      self.n_embd = n_embd
      self.action_dim = action_dim
      self.observation_dim = observation_dim
      self.is_training = is_training
      self.seq_length = self.action_dim + self.observation_dim + 1
  
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 1 to create a new TrajectoryTransformerModelTester object  with example: obj = TrajectoryTransformerModelTester(parent, batch_size, n_embd, action_dim, observation_dim, is_training)