code: def get_dummy_components(self):
      torch.manual_seed(0)
      unet = UNet1DModel(
          block_out_channels=(32, 32, 64),
          extra_in_channels=16,
          sample_size=512,
          sample_rate=16_000,
          in_channels=2,
          out_channels=2,
          flip_sin_to_cos=True,
          use_timestep_embedding=False,
          time_embedding_type="fourier",
          mid_block_type="UNetMidBlock1D",
          down_block_types=(
              "DownBlock1DNoSkip",
              "DownBlock1D",
              "AttnDownBlock1D",
          ),
          up_block_types=(
              "AttnUpBlock1D",
              "UpBlock1D",
              "UpBlock1DNoSkip",
          ),
      )
      scheduler = IPNDMScheduler()
  
      components = {
          "unet": unet,
          "scheduler": scheduler,
      }
      return components
  
imports: import gc
  import unittest
  import numpy
  import torch
  from diffusers import DanceDiffusionPipeline, IPNDMScheduler, UNet1DModel
  from diffusers.utils.testing_utils import enable_full_determinism, nightly, require_torch_gpu, skip_mps, torch_device
  from ..pipeline_params import UNCONDITIONAL_AUDIO_GENERATION_BATCH_PARAMS, UNCONDITIONAL_AUDIO_GENERATION_PARAMS
  from ..test_pipelines_common import PipelineTesterMixin
label_desc: Use image node_id 1 for calling the DanceDiffusionPipelineFastTests obj's underlying member method code with example usage: obj.get_dummy_components() and returns: components