code: def test_thresholding(self):
      self.check_over_configs(thresholding=False)
      for threshold in [0.5, 1.0, 2.0]:
          for prediction_type in ["epsilon", "sample", "v_prediction"]:
              self.check_over_configs(
                  thresholding=True,
                  prediction_type=prediction_type,
                  sample_max_value=threshold,
              )
  
imports: import torch
  from diffusers import DDPMScheduler
  from .test_schedulers import SchedulerCommonTest
label_desc: Use image node_id 7 for calling the DDPMSchedulerTest obj's underlying member method code with example usage: obj.test_thresholding() without return types