code: def setUp(self):
      super().setUp()
  
      self.scale = mt.ScaleIntensity()
      self.scale_call_name = "ScaleIntensity.__call__"
      self.test_comp = mt.Compose(
          [mt.ScaleIntensity(), mt.RandAxisFlip(0.5)]
      )
      self.test_image = torch.rand(1, 16, 16, 16)
      self.pid = os.getpid()
  
imports: from __future__ import annotations
  import datetime
  import os
  import unittest
  from io import StringIO
  import torch
  import monai.transforms
  from monai.data import Dataset, ThreadDataLoader
  from monai.utils import first, optional_import
  from monai.utils.enums import CommonKeys
  from monai.utils.profiling import ProfileHandler, ProfileResult, WorkflowProfiler
  from tests.utils import SkipIfNoModule
label_desc: Use image node_id 1 for calling the TestWorkflowProfiler obj's underlying member method code with example usage: obj.setUp() without return types