code: def test_gen_fake_data(self):
      with tf.Session() as sess:
          image_3d = self.constant_3d_image()
          label_3d = self.constant_3d_label()
          image_3d_np = sess.run(image_3d)
          label_3d_np = sess.run(label_3d)
  
          (
              image_3d_aug,
              label_3d_aug,
          ) = data_aug_lib.maybe_gen_fake_data_based_on_real_data(
              image_3d,
              label_3d,
              reso=32,
              min_fake_lesion_ratio=0.0,
              gen_fake_probability=0.0,
          )
  
          image_3d_aug_np = sess.run(image_3d_aug)
          label_3d_aug_np = sess.run(label_3d_aug)
          self.assertAllClose(image_3d_aug_np, image_3d_np)
          self.assertAllClose(label_3d_aug_np, label_3d_np)
  
file_path: mesh/mesh_tensorflow/experimental/data_aug_lib_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import mesh_tensorflow.experimental.data_aug_lib
  import tensorflow.compat.v1
label_desc: Use image node_id 5 for calling the MtfUnetDataAugTest obj's underlying member method code with example usage: obj.test_gen_fake_data() without return types