code: def __init__(
      self,
      parent,
      batch_size=13,
      seq_length=7,
      act_dim=6,
      state_dim=17,
      hidden_size=23,
      max_length=11,
      is_training=True,
  ):
      self.parent = parent
      self.batch_size = batch_size
      self.seq_length = seq_length
      self.act_dim = act_dim
      self.state_dim = state_dim
      self.hidden_size = hidden_size
      self.max_length = max_length
      self.is_training = is_training
  
imports: import inspect
  import unittest
  from transformers import DecisionTransformerConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 1 to create a new DecisionTransformerModelTester object  with example: obj = DecisionTransformerModelTester(parent, batch_size, seq_length, act_dim, state_dim, hidden_size, max_length, is_training)