code: def test_default_solver_type_after_switch(self):
      pipe = DiffusionPipeline.from_pretrained(
          "hf-internal-testing/tiny-stable-diffusion-pipe",
          torch_dtype=torch.float16,
      )
      assert pipe.scheduler.__class__ == DDIMScheduler
  
      pipe.scheduler = DEISMultistepScheduler.from_config(
          pipe.scheduler.config
      )
      assert pipe.scheduler.config.solver_type == "logrho"
  
      # Switch to UniPC, verify the solver is the default
      pipe.scheduler = UniPCMultistepScheduler.from_config(
          pipe.scheduler.config
      )
      assert pipe.scheduler.config.solver_type == "bh2"
  
imports: import inspect
  import json
  import os
  import tempfile
  import unittest
  import uuid
  from typing import Dict, List, Tuple
  import numpy
  import torch
  from huggingface_hub import delete_repo
  import diffusers
  from diffusers import CMStochasticIterativeScheduler, DDIMScheduler, DEISMultistepScheduler, DiffusionPipeline, EulerAncestralDiscreteScheduler, EulerDiscreteScheduler, IPNDMScheduler, LMSDiscreteScheduler, UniPCMultistepScheduler, VQDiffusionScheduler, logging
  from diffusers.configuration_utils import ConfigMixin, register_to_config
  from diffusers.schedulers.scheduling_utils import SchedulerMixin
  from diffusers.utils.testing_utils import CaptureLogger, torch_device
  from ..others.test_utils import TOKEN, USER, is_staging_test
label_desc: Use image node_id 5 for calling the SchedulerBaseTests obj's underlying member method code with example usage: obj.test_default_solver_type_after_switch() without return types