code: def setUp(self) -> None:
      set_determinism(0)
      self.test_dir = tempfile.TemporaryDirectory()
      test_path = self.test_dir.name
  
      dataroot = os.path.join(test_path, "dataroot")
      work_dir = os.path.join(test_path, "workdir")
  
      da_output_yaml = os.path.join(work_dir, "datastats.yaml")
      data_src_cfg = os.path.join(work_dir, "data_src_cfg.yaml")
  
      if not os.path.isdir(work_dir):
          os.makedirs(work_dir)
  
      create_sim_data(
          dataroot,
          fake_datalist,
          (24, 24, 24),
          rad_max=10,
          rad_min=1,
          num_seg_classes=1,
      )
  
      # write to a json file
      fake_json_datalist = os.path.join(dataroot, "fake_input.json")
      ConfigParser.export_config_file(fake_datalist, fake_json_datalist)
  
      da = DataAnalyzer(
          fake_json_datalist, dataroot, output_path=da_output_yaml
      )
      da.get_all_case_stats()
  
      data_src = {
          "name": "fake_data",
          "task": "segmentation",
          "modality": "MRI",
          "datalist": fake_json_datalist,
          "dataroot": dataroot,
          "multigpu": False,
          "class_names": ["label_class"],
      }
  
      ConfigParser.export_config_file(data_src, data_src_cfg)
  
      self.da_output_yaml = da_output_yaml
      self.work_dir = work_dir
      self.data_src_cfg_name = data_src_cfg
  
imports: from __future__ import annotations
  import os
  import tempfile
  import unittest
  import nibabel
  import numpy
  import torch
  from monai.apps.auto3dseg import AlgoEnsembleBestByFold, AlgoEnsembleBestN, AlgoEnsembleBuilder, BundleGen, DataAnalyzer, EnsembleRunner
  from monai.bundle.config_parser import ConfigParser
  from monai.data import create_test_image_3d
  from monai.transforms import SaveImage
  from monai.utils import check_parent_dir, optional_import, set_determinism
  from monai.utils.enums import AlgoKeys
  from tests.utils import SkipIfBeforePyTorchVersion, get_testing_algo_template_path, skip_if_downloading_fails, skip_if_no_cuda, skip_if_quick
label_desc: Use image node_id 1 for calling the TestEnsembleBuilder obj's underlying member method code with example usage: obj.setUp() without return types