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(10)
      assert torch.equal(
          scheduler.timesteps,
          torch.LongTensor(
              [
                  901,
                  851,
                  851,
                  801,
                  801,
                  751,
                  751,
                  701,
                  701,
                  651,
                  651,
                  601,
                  601,
                  501,
                  401,
                  301,
                  201,
                  101,
                  1,
              ]
          ),
      )
  
imports: import tempfile
  import torch
  from diffusers import PNDMScheduler
  from .test_schedulers import SchedulerCommonTest
label_desc: Use image node_id 8 for calling the PNDMSchedulerTest obj's underlying member method code with example usage: obj.test_steps_offset() without return types