


"""simple docstring"""






from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


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 (
	    VersatileDiffusionDualGuidedPipeline,
	    VersatileDiffusionImageVariationPipeline,
	    VersatileDiffusionPipeline,
	    VersatileDiffusionTextToImagePipeline,
	)
else:
	from .modeling_text_unet import UNetFlatConditionModel
	from .pipeline_versatile_diffusion import VersatileDiffusionPipeline
	from .pipeline_versatile_diffusion_dual_guided import VersatileDiffusionDualGuidedPipeline
	from .pipeline_versatile_diffusion_image_variation import VersatileDiffusionImageVariationPipeline
	from .pipeline_versatile_diffusion_text_to_image import VersatileDiffusionTextToImagePipeline




"""simple docstring"""






from math import factorial


def __lowercase     (      lowerCamelCase_  :      int = 100  ):
				return sum(int(lowerCamelCase_  ) for x in str(factorial(lowerCamelCase_  )  )  )


if __name__ == "__main__":
	print(solution(int(input('Enter the Number: ').strip())))
