code: def get_scheduler_config(self, **kwargs):
      config = {
          "num_vec_classes": 4097,
          "num_train_timesteps": 100,
      }
  
      config.update(**kwargs)
      return config
  
file_path: 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 1 for calling the VQDiffusionSchedulerTest obj's underlying member method code with example usage: obj.get_scheduler_config() and returns: config