"""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"""


from __future__ import annotations






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  return [ord(lowercase		) - 96 for elem in plain]






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  return "".join(chr(elem + 96		) for elem in encoded		)






def     __UpperCAmelCase					(			):







  """simple docstring"""
  _UpperCAmelCase						 =      encode(input("""-> """		).strip().lower()		)
  print("""Encoded: """   ,lowercase		)
  print("""Decoded:"""   ,decode(lowercase		)		)


if __name__ == "__main__":
    main()
