



'''simple docstring'''





_lowerCAmelCase      						=	'''0.18.2'''

from .configuration_utils import ConfigMixin
from .utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_inflect_available,
    is_invisible_watermark_available,
    is_k_diffusion_available,
    is_k_diffusion_version,
    is_librosa_available,
    is_note_seq_available,
    is_onnx_available,
    is_scipy_available,
    is_torch_available,
    is_torchsde_available,
    is_transformers_available,
    is_transformers_version,
    is_unidecode_available,
    logging,
)


try:
 if not is_onnx_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 from .utils.dummy_onnx_objects import *  # noqa F403
else:
 from .pipelines import OnnxRuntimeModel

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 from .utils.dummy_pt_objects import *  # noqa F403
else:
 from .models import (
     AutoencoderKL,
     ControlNetModel,
     ModelMixin,
     PriorTransformer,
     TaFilmDecoder,
     TransformeraDModel,
     UNetaDModel,
     UNetaDConditionModel,
     UNetaDModel,
     UNetaDConditionModel,
     VQModel,
 )
 from .optimization import (
     get_constant_schedule,
     get_constant_schedule_with_warmup,
     get_cosine_schedule_with_warmup,
     get_cosine_with_hard_restarts_schedule_with_warmup,
     get_linear_schedule_with_warmup,
     get_polynomial_decay_schedule_with_warmup,
     get_scheduler,
 )
 from .pipelines import (
     AudioPipelineOutput,
     ConsistencyModelPipeline,
     DanceDiffusionPipeline,
     DDIMPipeline,
     DDPMPipeline,
     DiffusionPipeline,
     DiTPipeline,
     ImagePipelineOutput,
     KarrasVePipeline,
     LDMPipeline,
     LDMSuperResolutionPipeline,
     PNDMPipeline,
     RePaintPipeline,
     ScoreSdeVePipeline,
 )
 from .schedulers import (
     CMStochasticIterativeScheduler,
     DDIMInverseScheduler,
     DDIMParallelScheduler,
     DDIMScheduler,
     DDPMParallelScheduler,
     DDPMScheduler,
     DEISMultistepScheduler,
     DPMSolverMultistepInverseScheduler,
     DPMSolverMultistepScheduler,
     DPMSolverSinglestepScheduler,
     EulerAncestralDiscreteScheduler,
     EulerDiscreteScheduler,
     HeunDiscreteScheduler,
     IPNDMScheduler,
     KarrasVeScheduler,
     KDPMaAncestralDiscreteScheduler,
     KDPMaDiscreteScheduler,
     PNDMScheduler,
     RePaintScheduler,
     SchedulerMixin,
     ScoreSdeVeScheduler,
     UnCLIPScheduler,
     UniPCMultistepScheduler,
     VQDiffusionScheduler,
 )
 from .training_utils import EMAModel

try:
 if not (is_torch_available() and is_scipy_available()):
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 from .utils.dummy_torch_and_scipy_objects import *  # noqa F403
else:
 from .schedulers import LMSDiscreteScheduler

try:
 if not (is_torch_available() and is_torchsde_available()):
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 from .utils.dummy_torch_and_torchsde_objects import *  # noqa F403
else:
 from .schedulers import DPMSolverSDEScheduler

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 .pipelines import (
     AltDiffusionImgaImgPipeline,
     AltDiffusionPipeline,
     AudioLDMPipeline,
     CycleDiffusionPipeline,
     IFImgaImgPipeline,
     IFImgaImgSuperResolutionPipeline,
     IFInpaintingPipeline,
     IFInpaintingSuperResolutionPipeline,
     IFPipeline,
     IFSuperResolutionPipeline,
     ImageTextPipelineOutput,
     KandinskyImgaImgPipeline,
     KandinskyInpaintPipeline,
     KandinskyPipeline,
     KandinskyPriorPipeline,
     KandinskyVaaControlnetImgaImgPipeline,
     KandinskyVaaControlnetPipeline,
     KandinskyVaaImgaImgPipeline,
     KandinskyVaaInpaintPipeline,
     KandinskyVaaPipeline,
     KandinskyVaaPriorEmbaEmbPipeline,
     KandinskyVaaPriorPipeline,
     LDMTextToImagePipeline,
     PaintByExamplePipeline,
     SemanticStableDiffusionPipeline,
     ShapEImgaImgPipeline,
     ShapEPipeline,
     StableDiffusionAttendAndExcitePipeline,
     StableDiffusionControlNetImgaImgPipeline,
     StableDiffusionControlNetInpaintPipeline,
     StableDiffusionControlNetPipeline,
     StableDiffusionDepthaImgPipeline,
     StableDiffusionDiffEditPipeline,
     StableDiffusionImageVariationPipeline,
     StableDiffusionImgaImgPipeline,
     StableDiffusionInpaintPipeline,
     StableDiffusionInpaintPipelineLegacy,
     StableDiffusionInstructPixaPixPipeline,
     StableDiffusionLatentUpscalePipeline,
     StableDiffusionLDMaDPipeline,
     StableDiffusionModelEditingPipeline,
     StableDiffusionPanoramaPipeline,
     StableDiffusionParadigmsPipeline,
     StableDiffusionPipeline,
     StableDiffusionPipelineSafe,
     StableDiffusionPixaPixZeroPipeline,
     StableDiffusionSAGPipeline,
     StableDiffusionUpscalePipeline,
     StableUnCLIPImgaImgPipeline,
     StableUnCLIPPipeline,
     TextToVideoSDPipeline,
     TextToVideoZeroPipeline,
     UnCLIPImageVariationPipeline,
     UnCLIPPipeline,
     UniDiffuserModel,
     UniDiffuserPipeline,
     UniDiffuserTextDecoder,
     VersatileDiffusionDualGuidedPipeline,
     VersatileDiffusionImageVariationPipeline,
     VersatileDiffusionPipeline,
     VersatileDiffusionTextToImagePipeline,
     VideoToVideoSDPipeline,
     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 .pipelines import StableDiffusionXLImgaImgPipeline, StableDiffusionXLPipeline

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 .pipelines import StableDiffusionKDiffusionPipeline

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 .pipelines import (
     OnnxStableDiffusionImgaImgPipeline,
     OnnxStableDiffusionInpaintPipeline,
     OnnxStableDiffusionInpaintPipelineLegacy,
     OnnxStableDiffusionPipeline,
     OnnxStableDiffusionUpscalePipeline,
     StableDiffusionOnnxPipeline,
 )

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 .pipelines import AudioDiffusionPipeline, Mel

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 .pipelines import SpectrogramDiffusionPipeline

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 from .utils.dummy_flax_objects import *  # noqa F403
else:
 from .models.controlnet_flax import FlaxControlNetModel
 from .models.modeling_flax_utils import FlaxModelMixin
 from .models.unet_ad_condition_flax import FlaxUNetaDConditionModel
 from .models.vae_flax import FlaxAutoencoderKL
 from .pipelines import FlaxDiffusionPipeline
 from .schedulers import (
     FlaxDDIMScheduler,
     FlaxDDPMScheduler,
     FlaxDPMSolverMultistepScheduler,
     FlaxKarrasVeScheduler,
     FlaxLMSDiscreteScheduler,
     FlaxPNDMScheduler,
     FlaxSchedulerMixin,
     FlaxScoreSdeVeScheduler,
 )


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 .pipelines import (
     FlaxStableDiffusionControlNetPipeline,
     FlaxStableDiffusionImgaImgPipeline,
     FlaxStableDiffusionInpaintPipeline,
     FlaxStableDiffusionPipeline,
 )

try:
 if not (is_note_seq_available()):
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 from .utils.dummy_note_seq_objects import *  # noqa F403
else:
 from .pipelines import MidiProcessor







"""simple docstring"""
def       _snake_case						(						UpperCamelCase						:		list						):
 if not isinstance(UpperCamelCase			,		UpperCamelCase						):
  raise ValueError("""Input series is not valid, valid series - [2, 4, 6]"""						)
 if len(UpperCamelCase						) == 0:
  raise ValueError("""Input list must be a non empty list"""						)
 if len(UpperCamelCase						) == 1:
  return True
 UpperCAmelCase	:					Union[str, Any]	=	series[1] - series[0]
 for index in range(len(UpperCamelCase						) - 1						):
  if series[index + 1] - series[index] != common_diff:
   return False
 return True

def       _snake_case						(						UpperCamelCase						:		list						):
 if not isinstance(UpperCamelCase			,		UpperCamelCase						):
  raise ValueError("""Input series is not valid, valid series - [2, 4, 6]"""						)
 if len(UpperCamelCase						) == 0:
  raise ValueError("""Input list must be a non empty list"""						)
 UpperCAmelCase	:					Any	=	0
 for val in series:
  answer += val
 return answer / len(UpperCamelCase						)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
