


"""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	(					lowerCamelCase_    ):




		'''simple docstring'''







		SCREAMING_SNAKE_CASE_						:     Union[List[PIL.Image.Image], np.ndarray]
		SCREAMING_SNAKE_CASE_						:     Optional[List[bool]]


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	(					lowerCamelCase_    ):




			'''simple docstring'''







			SCREAMING_SNAKE_CASE_						:     np.ndarray
			SCREAMING_SNAKE_CASE_						:     List[bool]





	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






"""simple docstring"""




def     lowercase			(SCREAMING_SNAKE_CASE_		:				int = 10_00  )   ->						int:
						SCREAMING_SNAKE_CASE													=					2**power
						SCREAMING_SNAKE_CASE													=					0
						while n:
												SCREAMING_SNAKE_CASE							,				SCREAMING_SNAKE_CASE													=					r + n % 10, n // 10
						return r


if __name__ == "__main__":
	print(solution(int(str(input()).strip())))


