


import baseaa
def 							UpperCamelCase_(					_A :str	)->		str:
			return baseaa.baaencode(string.encode("utf-8"	)	)
def 							UpperCamelCase_(					_A :bytes	)->		Optional[int]:
			return baseaa.baadecode(A__	).decode("utf-8"	)


if __name__ == "__main__":
						__UpperCamelCase     		=							"Hello World!"
						__UpperCamelCase     		=							baseaa_encode(test)
						print(encoded)

						__UpperCamelCase     		=							baseaa_decode(encoded)
						print(decoded)






'''simple docstring'''






from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
  from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline



