code: def test_steps_offset(self):
      for steps_offset in [0, 1]:
          self.check_over_configs(steps_offset=steps_offset)
  
      scheduler_class = self.scheduler_classes[0]
      scheduler_config = self.get_scheduler_config(steps_offset=1)
      scheduler = scheduler_class(**scheduler_config)
      scheduler.set_timesteps(5)
      assert torch.equal(
          scheduler.timesteps, torch.LongTensor([801, 601, 401, 201, 1])
      )
  
imports: import torch
  from diffusers import DDIMScheduler
  from .test_schedulers import SchedulerCommonTest
label_desc: Use image node_id 4 for calling the DDIMSchedulerTest obj's underlying member method code with example usage: obj.test_steps_offset() without return types