code: def test_pow_of_3_inference_steps(self):
      # earlier version of set_timesteps() caused an error indexing alpha's with inference steps as power of 3
      num_inference_steps = 27
  
      for scheduler_class in self.scheduler_classes:
          sample, _ = self.dummy_sample
          residual = 0.1 * sample
  
          scheduler_config = self.get_scheduler_config()
          scheduler = scheduler_class(**scheduler_config)
          state = scheduler.create_state()
  
          state = scheduler.set_timesteps(
              state, num_inference_steps, shape=sample.shape
          )
  
          # before power of 3 fix, would error on first step, so we only need to do two
          for i, t in enumerate(state.prk_timesteps[:2]):
              sample, state = scheduler.step_prk(
                  state, residual, t, sample
              )
  
imports: import inspect
  import tempfile
  import unittest
  from typing import Dict, List, Tuple
  from diffusers import FlaxDDIMScheduler, FlaxDDPMScheduler, FlaxPNDMScheduler
  from diffusers.utils import is_flax_available
  from diffusers.utils.testing_utils import require_flax
label_desc: Use image node_id 14 for calling the FlaxPNDMSchedulerTest obj's underlying member method code with example usage: obj.test_pow_of_3_inference_steps() without return types