


"""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





import baseaa







def 			lowerCamelCase_		(       UpperCamelCase__				:      str      )     ->       bytes:





				"""simple docstring"""


				return baseaa.aaaencode(string.encode('utf-8'      )      )







def 			lowerCamelCase_		(       UpperCamelCase__				:      bytes      )     ->       str:





				"""simple docstring"""


				return baseaa.aaadecode(UpperCamelCase__      ).decode('utf-8'      )


if __name__ == "__main__":
					import doctest

					doctest.testmod()


