Mocking Ray workflows

I’m trying to write a unit test which mocks a method which cancels workflows.
Here is the example taken from (python/ray/workflow/tests/test_metadata.py):

def test_running_and_canceled_workflow(workflow_start_regular, tmp_path):
  
      workflow_id = "simple"
      flag = tmp_path / "flag"
  
      @workflow.step
      def simple():
          flag.touch()
          time.sleep(1000)
          return 0
  
      simple.step().run_async(workflow_id)
  
      # Wait until step runs to make sure pre-run metadata is written
      while not flag.exists():
          time.sleep(1)
  
      workflow_metadata = workflow.get_metadata(workflow_id)
      assert workflow_metadata["status"] == "RUNNING"
      assert "start_time" in workflow_metadata["stats"]
      assert "end_time" not in workflow_metadata["stats"]
  
      workflow.cancel(workflow_id)
  
      workflow_metadata = workflow.get_metadata(workflow_id)
      assert workflow_metadata["status"] == "CANCELED"

Is there any way to test workflow.cancel with mocking the state of a workflow? I’d like to skip writing workflow.step and simple.step().run_async(workflow_id) explicitly.