code: def test_customized_workflow(self):
      expected_shape = (64, 64, 64)
      test_image = np.random.rand(*expected_shape)
      filename = os.path.join(self.data_dir, "image.nii")
      nib.save(nib.Nifti1Image(test_image, np.eye(4)), filename)
  
      cmd = "-m fire monai.bundle.scripts run_workflow --workflow_name tests.nonconfig_workflow.NonConfigWorkflow"
      cmd += f" --filename {filename} --output_dir {self.data_dir}"
      command_line_tests(["coverage", "run"] + cmd.split(" "))
      loader = LoadImage(image_only=True)
      self.assertTupleEqual(
          loader(
              os.path.join(self.data_dir, "image", "image_seg.nii.gz")
          ).shape,
          expected_shape,
      )
  
imports: from __future__ import annotations
  import json
  import os
  import shutil
  import subprocess
  import sys
  import tempfile
  import unittest
  from glob import glob
  import nibabel
  import numpy
  import torch
  from parameterized import parameterized
  from monai.bundle import ConfigParser
  from monai.bundle.utils import DEFAULT_HANDLERS_ID
  from monai.transforms import LoadImage
  from monai.utils import path_to_uri
  from tests.utils import command_line_tests
label_desc: Use image node_id 6 for calling the TestBundleRun obj's underlying member method code with example usage: obj.test_customized_workflow() without return types