




"""simple docstring"""






from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import (
    BaseOutput,
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_k_diffusion_available,
    is_k_diffusion_version,
    is_onnx_available,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)






@dataclass
class lowerCAmelCase__	(     lowercase						):






			'''simple docstring'''



			lowerCamelCase__      =			42
			lowerCamelCase__      =			42


try:
			if not (is_transformers_available() and is_torch_available()):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
			from .pipeline_cycle_diffusion import CycleDiffusionPipeline
			from .pipeline_stable_diffusion import StableDiffusionPipeline
			from .pipeline_stable_diffusion_attend_and_excite import StableDiffusionAttendAndExcitePipeline
			from .pipeline_stable_diffusion_imgaimg import StableDiffusionImgaImgPipeline
			from .pipeline_stable_diffusion_inpaint import StableDiffusionInpaintPipeline
			from .pipeline_stable_diffusion_inpaint_legacy import StableDiffusionInpaintPipelineLegacy
			from .pipeline_stable_diffusion_instruct_pixapix import StableDiffusionInstructPixaPixPipeline
			from .pipeline_stable_diffusion_latent_upscale import StableDiffusionLatentUpscalePipeline
			from .pipeline_stable_diffusion_ldmad import StableDiffusionLDMaDPipeline
			from .pipeline_stable_diffusion_model_editing import StableDiffusionModelEditingPipeline
			from .pipeline_stable_diffusion_panorama import StableDiffusionPanoramaPipeline
			from .pipeline_stable_diffusion_paradigms import StableDiffusionParadigmsPipeline
			from .pipeline_stable_diffusion_sag import StableDiffusionSAGPipeline
			from .pipeline_stable_diffusion_upscale import StableDiffusionUpscalePipeline
			from .pipeline_stable_unclip import StableUnCLIPPipeline
			from .pipeline_stable_unclip_imgaimg import StableUnCLIPImgaImgPipeline
			from .safety_checker import StableDiffusionSafetyChecker
			from .stable_unclip_image_normalizer import StableUnCLIPImageNormalizer

try:
			if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.25.0""")):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_torch_and_transformers_objects import StableDiffusionImageVariationPipeline
else:
			from .pipeline_stable_diffusion_image_variation import StableDiffusionImageVariationPipeline


try:
			if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.26.0""")):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_torch_and_transformers_objects import (
			    StableDiffusionDepthaImgPipeline,
			    StableDiffusionDiffEditPipeline,
			    StableDiffusionPixaPixZeroPipeline,
			)
else:
			from .pipeline_stable_diffusion_depthaimg import StableDiffusionDepthaImgPipeline
			from .pipeline_stable_diffusion_diffedit import StableDiffusionDiffEditPipeline
			from .pipeline_stable_diffusion_pixapix_zero import StableDiffusionPixaPixZeroPipeline


try:
			if not (
			    is_torch_available()
			    and is_transformers_available()
			    and is_k_diffusion_available()
			    and is_k_diffusion_version(""">=""", """0.0.12""")
			):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_torch_and_transformers_and_k_diffusion_objects import *  # noqa F403
else:
			from .pipeline_stable_diffusion_k_diffusion import StableDiffusionKDiffusionPipeline

try:
			if not (is_transformers_available() and is_onnx_available()):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_onnx_objects import *  # noqa F403
else:
			from .pipeline_onnx_stable_diffusion import OnnxStableDiffusionPipeline, StableDiffusionOnnxPipeline
			from .pipeline_onnx_stable_diffusion_imgaimg import OnnxStableDiffusionImgaImgPipeline
			from .pipeline_onnx_stable_diffusion_inpaint import OnnxStableDiffusionInpaintPipeline
			from .pipeline_onnx_stable_diffusion_inpaint_legacy import OnnxStableDiffusionInpaintPipelineLegacy
			from .pipeline_onnx_stable_diffusion_upscale import OnnxStableDiffusionUpscalePipeline

if is_transformers_available() and is_flax_available():
			import flax






			@flax.struct.dataclass
			class lowerCAmelCase__	(     lowercase						):






						'''simple docstring'''



						lowerCamelCase__      =			42
						lowerCamelCase__      =			42

			from ...schedulers.scheduling_pndm_flax import PNDMSchedulerState
			from .pipeline_flax_stable_diffusion import FlaxStableDiffusionPipeline
			from .pipeline_flax_stable_diffusion_imgaimg import FlaxStableDiffusionImgaImgPipeline
			from .pipeline_flax_stable_diffusion_inpaint import FlaxStableDiffusionInpaintPipeline
			from .safety_checker_flax import FlaxStableDiffusionSafetyChecker

class    SCREAMING_SNAKE_CASE__     :





	'''simple docstring'''



	def __init__(  self	:    List[str]			,  lowercase	:    list[int]	):


				'''simple docstring'''


				_snake_case		=			len(lowercase	)
				_snake_case		=			[0] * len_array

				if len_array > 0:
							_snake_case		=			array[0]

				for i in range(1			,  lowercase	):
							_snake_case		=			self.prefix_sum[i - 1] + array[i]



	def  A							(  self	:    Optional[Any]			,  lowercase	:    int			,  lowercase	:    int	):


				'''simple docstring'''


				if start == 0:
							return self.prefix_sum[end]

				return self.prefix_sum[end] - self.prefix_sum[start - 1]





	def  A							(  self	:    Union[str, Any]			,  lowercase	:    int	):


				'''simple docstring'''


				_snake_case		=			{0}
				for sum_item in self.prefix_sum:
							if sum_item - target_sum in sums:
										return True

							sums.add(lowercase	)

				return False


if __name__ == "__main__":
			import doctest

			doctest.testmod()