code: def test_train_config(self, config_file):
      # test standard MONAI model-zoo config workflow
      trainer = ConfigWorkflow(
          workflow_type="train",
          config_file=config_file,
          logging_file=os.path.join(
              os.path.dirname(__file__), "testing_data", "logging.conf"
          ),
          init_id="initialize",
          run_id="run",
          final_id="finalize",
      )
      # should initialize before parsing any bundle content
      trainer.initialize()
      # test required and optional properties
      self.assertListEqual(trainer.check_properties(), [])
      # test override optional properties
      trainer.parser.update(
          pairs={
              "validate#evaluator#postprocessing": "$@validate#postprocessing if @val_interval > 0 else None"
          }
      )
      trainer.initialize()
      self.assertListEqual(trainer.check_properties(), [])
      # test read / write the properties
      dataset = trainer.train_dataset
      self.assertTrue(isinstance(dataset, Dataset))
      inferer = trainer.train_inferer
      self.assertTrue(isinstance(inferer, SimpleInferer))
      # test optional properties get
      self.assertTrue(trainer.train_key_metric is None)
      trainer.train_dataset = deepcopy(dataset)
      trainer.train_inferer = deepcopy(inferer)
      # test optional properties set
      trainer.train_key_metric = "set optional properties"
  
      # should initialize and parse again as changed the bundle content
      trainer.initialize()
      trainer.run()
      trainer.finalize()
  
imports: from __future__ import annotations
  import os
  import shutil
  import tempfile
  import unittest
  from copy import deepcopy
  import nibabel
  import numpy
  import torch
  from parameterized import parameterized
  from monai.bundle import ConfigWorkflow
  from monai.data import Dataset
  from monai.inferers import SimpleInferer, SlidingWindowInferer
  from monai.networks.nets import UNet
  from monai.transforms import Compose, LoadImage
  from tests.nonconfig_workflow import NonConfigWorkflow
label_desc: Use image node_id 5 for calling the TestBundleWorkflow obj's underlying member method code with example usage: obj.test_train_config(config_file) without return types