
import string




def 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	str       )  ->     None:
						for key in range(len(string.ascii_uppercase       )       ):
												_lowercase					       =					""""""
												for symbol in message:
																		if symbol in string.ascii_uppercase:
																								_lowercase					       =					string.ascii_uppercase.find(SCREAMING_SNAKE_CASE_       )
																								_lowercase					       =					num - key
																								if num < 0:
																														_lowercase					       =					num + len(string.ascii_uppercase       )
																								_lowercase					       =					translated + string.ascii_uppercase[num]
																		else:
																								_lowercase					       =					translated + symbol
												print(f"""Decryption using Key #{key}: {translated}"""       )




def 	UpperCamelCase__  (     )  ->     None:
						_lowercase					       =					input("""Encrypted message: """       )
						_lowercase					       =					message.upper()
						decrypt(SCREAMING_SNAKE_CASE_       )


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()

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


try:
		if not (is_transformers_available() and is_torch_available()):
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		from ...utils.dummy_torch_and_transformers_objects import ShapEPipeline
else:
		from .camera import create_pan_cameras
		from .pipeline_shap_e import ShapEPipeline
		from .pipeline_shap_e_img2img import ShapEImgaImgPipeline
		from .renderer import (
		    BoundingBoxVolume,
		    ImportanceRaySampler,
		    MLPNeRFModelOutput,
		    MLPNeRSTFModel,
		    ShapEParamsProjModel,
		    ShapERenderer,
		    StratifiedRaySampler,
		    VoidNeRFModel,
		)