


'''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







'''simple docstring'''

def 	__lowerCamelCase	( lowerCAmelCase_    )     -> bool:
		if not all(x.isalpha() for x in string    ):
				raise ValueError('String must only contain alphabetic characters.'    )

		_a	: Tuple								=				sorted(string.lower()    )
		return len(lowerCAmelCase_    ) == len(set(lowerCAmelCase_    )    )


if __name__ == "__main__":
							__lowerCAmelCase		     =  input('''Enter a string ''').strip()

							__lowerCAmelCase		     =  is_isogram(input_str)
							print(f"""{input_str} is {'an' if isogram else 'not an'} isogram.""")




