code: def training_config(tmpdir):
      tmpdir.mkdir("dummy_folder")
      dir_path = os.path.join(tmpdir, "dummy_folder")
      return AdversarialTrainerConfig(output_dir=dir_path)
  
imports: import os
  from copy import deepcopy
  import pytest
  import torch
  from pythae.models import Adversarial_AE, Adversarial_AE_Config
  from pythae.trainers import AdversarialTrainer, AdversarialTrainerConfig
  from tests.data.custom_architectures import *
label_desc: Use image node_id 3 for calling a global function with example usage: training_config(tmpdir) and returns: AdversarialTrainerConfig