code: def get_dummy_components(self):
      prior = self.dummy_prior
      text_encoder = self.dummy_text_encoder
      tokenizer = self.dummy_tokenizer
      shap_e_renderer = self.dummy_renderer
  
      scheduler = HeunDiscreteScheduler(
          beta_schedule="exp",
          num_train_timesteps=1024,
          prediction_type="sample",
          use_karras_sigmas=True,
          clip_sample=True,
          clip_sample_range=1.0,
      )
      components = {
          "prior": prior,
          "text_encoder": text_encoder,
          "tokenizer": tokenizer,
          "shap_e_renderer": shap_e_renderer,
          "scheduler": scheduler,
      }
  
      return components
  
imports: import gc
  import unittest
  import numpy
  import torch
  from transformers import CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer
  from diffusers import HeunDiscreteScheduler, PriorTransformer, ShapEPipeline
  from diffusers.pipelines.shap_e import ShapERenderer
  from diffusers.utils.testing_utils import load_numpy, nightly, require_torch_gpu, torch_device
  from ..test_pipelines_common import PipelineTesterMixin, assert_mean_pixel_difference
label_desc: Use image node_id 9 for calling the ShapEPipelineFastTests obj's underlying member method code with example usage: obj.get_dummy_components() and returns: components