code: def test_timesteps(self):
      for timesteps in [2, 5, 100, 1000]:
          self.check_over_configs(num_train_timesteps=timesteps)
  
file_path: llmga/llmga/diffusers/tests/schedulers/test_scheduler_vq_diffusion.py
imports: import torch
  import torch.nn.functional
  from diffusers import VQDiffusionScheduler
  from .test_schedulers import SchedulerCommonTest
label_desc: Use image node_id 5 for calling the VQDiffusionSchedulerTest obj's underlying member method code with example usage: obj.test_timesteps() without return types