code: def generate_3d_1_1_d_images():
      img_path = os.path.join(
          os.path.dirname(__file__), "..", "testing_data"
      )
      img_path = os.path.realpath(
          os.path.join(img_path, "images_x_y_z_1_1")
      )
      if not os.path.isdir(img_path):
          os.makedirs(img_path)
      for idx in range(3):
          image_data = np.random.randint(
              0, 255, size=(50, 24, 42, 1, 1)
          )
          image_data = image_data.astype(np.uint8)
          nib_image = nib.Nifti1Image(image_data, np.eye(4))
          nib.save(
              nib_image,
              os.path.join(img_path, "x_y_z_1_1_{}.nii.gz".format(idx)),
          )
      return
  
imports: from __future__ import absolute_import, print_function
  import os
  from PIL import Image
  import nibabel
  import numpy
  import tensorflow
  from niftynet.io.image_reader import ImageReader
  from tests.niftynet_testcase import NiftyNetTestCase
label_desc: Use image node_id 3 for calling a global function with example usage: generate_3d_1_1_d_images() without return types