code: 
  
  
  
  
  
  from ..utils import (
      OptionalDependencyNotAvailable,
      is_flax_available,
      is_invisible_watermark_available,
      is_k_diffusion_available,
      is_librosa_available,
      is_note_seq_available,
      is_onnx_available,
      is_torch_available,
      is_transformers_available,
  )
  
  
  try:
  				if not is_torch_available():
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				from ..utils.dummy_pt_objects import *  # noqa F403
  else:
  				from .consistency_models import ConsistencyModelPipeline
  				from .dance_diffusion import DanceDiffusionPipeline
  				from .ddim import DDIMPipeline
  				from .ddpm import DDPMPipeline
  				from .dit import DiTPipeline
  				from .latent_diffusion import LDMSuperResolutionPipeline
  				from .latent_diffusion_uncond import LDMPipeline
  				from .pipeline_utils import AudioPipelineOutput, DiffusionPipeline, ImagePipelineOutput
  				from .pndm import PNDMPipeline
  				from .repaint import RePaintPipeline
  				from .score_sde_ve import ScoreSdeVePipeline
  				from .stochastic_karras_ve import KarrasVePipeline
  
  try:
  				if not (is_torch_available() and is_librosa_available()):
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				from ..utils.dummy_torch_and_librosa_objects import *  # noqa F403
  else:
  				from .audio_diffusion import AudioDiffusionPipeline, Mel
  
  try:
  				if not (is_torch_available() and is_transformers_available()):
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				from ..utils.dummy_torch_and_transformers_objects import *  # noqa F403
  else:
  				from .alt_diffusion import AltDiffusionImgaImgPipeline, AltDiffusionPipeline
  				from .audioldm import AudioLDMPipeline
  				from .controlnet import (
  				    StableDiffusionControlNetImgaImgPipeline,
  				    StableDiffusionControlNetInpaintPipeline,
  				    StableDiffusionControlNetPipeline,
  				)
  				from .deepfloyd_if import (
  				    IFImgaImgPipeline,
  				    IFImgaImgSuperResolutionPipeline,
  				    IFInpaintingPipeline,
  				    IFInpaintingSuperResolutionPipeline,
  				    IFPipeline,
  				    IFSuperResolutionPipeline,
  				)
  				from .kandinsky import (
  				    KandinskyImgaImgPipeline,
  				    KandinskyInpaintPipeline,
  				    KandinskyPipeline,
  				    KandinskyPriorPipeline,
  				)
  				from .kandinskya_a import (
  				    KandinskyVaaControlnetImgaImgPipeline,
  				    KandinskyVaaControlnetPipeline,
  				    KandinskyVaaImgaImgPipeline,
  				    KandinskyVaaInpaintPipeline,
  				    KandinskyVaaPipeline,
  				    KandinskyVaaPriorEmbaEmbPipeline,
  				    KandinskyVaaPriorPipeline,
  				)
  				from .latent_diffusion import LDMTextToImagePipeline
  				from .paint_by_example import PaintByExamplePipeline
  				from .semantic_stable_diffusion import SemanticStableDiffusionPipeline
  				from .shap_e import ShapEImgaImgPipeline, ShapEPipeline
  				from .stable_diffusion import (
  				    CycleDiffusionPipeline,
  				    StableDiffusionAttendAndExcitePipeline,
  				    StableDiffusionDepthaImgPipeline,
  				    StableDiffusionDiffEditPipeline,
  				    StableDiffusionImageVariationPipeline,
  				    StableDiffusionImgaImgPipeline,
  				    StableDiffusionInpaintPipeline,
  				    StableDiffusionInpaintPipelineLegacy,
  				    StableDiffusionInstructPixaPixPipeline,
  				    StableDiffusionLatentUpscalePipeline,
  				    StableDiffusionLDMaDPipeline,
  				    StableDiffusionModelEditingPipeline,
  				    StableDiffusionPanoramaPipeline,
  				    StableDiffusionParadigmsPipeline,
  				    StableDiffusionPipeline,
  				    StableDiffusionPixaPixZeroPipeline,
  				    StableDiffusionSAGPipeline,
  				    StableDiffusionUpscalePipeline,
  				    StableUnCLIPImgaImgPipeline,
  				    StableUnCLIPPipeline,
  				)
  				from .stable_diffusion_safe import StableDiffusionPipelineSafe
  				from .text_to_video_synthesis import TextToVideoSDPipeline, TextToVideoZeroPipeline, VideoToVideoSDPipeline
  				from .unclip import UnCLIPImageVariationPipeline, UnCLIPPipeline
  				from .unidiffuser import ImageTextPipelineOutput, UniDiffuserModel, UniDiffuserPipeline, UniDiffuserTextDecoder
  				from .versatile_diffusion import (
  				    VersatileDiffusionDualGuidedPipeline,
  				    VersatileDiffusionImageVariationPipeline,
  				    VersatileDiffusionPipeline,
  				    VersatileDiffusionTextToImagePipeline,
  				)
  				from .vq_diffusion import VQDiffusionPipeline
  
  
  try:
  				if not (is_torch_available() and is_transformers_available() and is_invisible_watermark_available()):
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				from ..utils.dummy_torch_and_transformers_and_invisible_watermark_objects import *  # noqa F403
  else:
  				from .stable_diffusion_xl import StableDiffusionXLImgaImgPipeline, StableDiffusionXLPipeline
  
  try:
  				if not is_onnx_available():
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				from ..utils.dummy_onnx_objects import *  # noqa F403
  else:
  				from .onnx_utils import OnnxRuntimeModel
  
  try:
  				if not (is_torch_available() and is_transformers_available() and is_onnx_available()):
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				from ..utils.dummy_torch_and_transformers_and_onnx_objects import *  # noqa F403
  else:
  				from .stable_diffusion import (
  				    OnnxStableDiffusionImgaImgPipeline,
  				    OnnxStableDiffusionInpaintPipeline,
  				    OnnxStableDiffusionInpaintPipelineLegacy,
  				    OnnxStableDiffusionPipeline,
  				    OnnxStableDiffusionUpscalePipeline,
  				    StableDiffusionOnnxPipeline,
  				)
  
  try:
  				if not (is_torch_available() and is_transformers_available() and is_k_diffusion_available()):
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				from ..utils.dummy_torch_and_transformers_and_k_diffusion_objects import *  # noqa F403
  else:
  				from .stable_diffusion import StableDiffusionKDiffusionPipeline
  
  try:
  				if not is_flax_available():
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				from ..utils.dummy_flax_objects import *  # noqa F403
  else:
  				from .pipeline_flax_utils import FlaxDiffusionPipeline
  
  
  try:
  				if not (is_flax_available() and is_transformers_available()):
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				from ..utils.dummy_flax_and_transformers_objects import *  # noqa F403
  else:
  				from .controlnet import FlaxStableDiffusionControlNetPipeline
  				from .stable_diffusion import (
  				    FlaxStableDiffusionImgaImgPipeline,
  				    FlaxStableDiffusionInpaintPipeline,
  				    FlaxStableDiffusionPipeline,
  				)
  try:
  				if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				from ..utils.dummy_transformers_and_torch_and_note_seq_objects import *  # noqa F403
  else:
  				from .spectrogram_diffusion import MidiProcessor, SpectrogramDiffusionPipeline
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  def     a						(      _lowercase   :     List[str]       )     ->List[str]:
  		UpperCamelCase__         =	[7_0_1, 3_0_1, 1_3_2, 5_7, 2_3, 1_0, 4, 1]
  		for gap in gaps:
  				for i in range(_lowercase ,						len(_lowercase       )       ):
  						UpperCamelCase__         =	collection[i]
  						UpperCamelCase__         =	i
  						while j >= gap and collection[j - gap] > insert_value:
  								UpperCamelCase__         =	collection[j - gap]
  								j -= gap
  						if j != i:
  								UpperCamelCase__         =	insert_value
  		return collection
  
  
  if __name__ == "__main__":
  				from doctest import testmod
  
  				testmod()
  				__lowerCAmelCase     =			input("Enter numbers separated by a comma:\n").strip()
  				__lowerCAmelCase     =			[int(item) for item in user_input.split(",")]
  				print(shell_sort(unsorted))
  
  
  
  
  
  