code: def setUp(self):
      set_determinism(seed=0)
  
      self.data_dir = tempfile.mkdtemp()
      for i in range(40):
          im, _ = create_test_image_2d(
              64,
              64,
              num_objs=3,
              rad_max=14,
              num_seg_classes=1,
              channel_dim=-1,
          )
          n = nib.Nifti1Image(im, np.eye(4))
          nib.save(n, os.path.join(self.data_dir, f"img{i:d}.nii.gz"))
  
      self.device = torch.device(
          "cuda:0" if torch.cuda.is_available() else "cpu:0"
      )
      monai.config.print_config()
  
imports: from __future__ import annotations
  import os
  import shutil
  import tempfile
  import unittest
  from glob import glob
  import nibabel
  import numpy
  import torch
  import monai
  from monai.data import create_test_image_2d
  from monai.engines import GanTrainer
  from monai.handlers import CheckpointSaver, StatsHandler, TensorBoardStatsHandler
  from monai.networks import normal_init
  from monai.networks.nets import Discriminator, Generator
  from monai.transforms import Compose, EnsureChannelFirstd, LoadImaged, RandFlipd, ScaleIntensityd
  from monai.utils import GanKeys
  from monai.utils import set_determinism
  from tests.utils import DistTestCase, TimedCall, skip_if_quick
label_desc: Use image node_id 1 for calling the IntegrationWorkflowsGAN obj's underlying member method code with example usage: obj.setUp() without return types