
from __future__ import annotations



def 			_a		(	_SCREAMING_SNAKE_CASE		:   str  ):
						return [ord(_SCREAMING_SNAKE_CASE  ) - 96 for elem in plain]



def 			_a		(	_SCREAMING_SNAKE_CASE		:   list[int]  ):
						return "".join(chr(elem + 96  ) for elem in encoded  )



def 			_a		(	):
						_SCREAMING_SNAKE_CASE				= encode(input("-> "  ).strip().lower()  )
						print("Encoded: "	,			_SCREAMING_SNAKE_CASE  )
						print("Decoded:"	,			decode(_SCREAMING_SNAKE_CASE  )  )


if __name__ == "__main__":
						main()

'''simple docstring'''







import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


_snake_case				:   List[Any]     =				logging.get_logger(__name__)


class 			lowerCAmelCase (				__UpperCAmelCase			):




		def __init__(				self					,						*UpperCamelCase					,						**UpperCamelCase      ):
								warnings.warn(
								    "The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
								    " use DPTImageProcessor instead."					,						UpperCamelCase					,						)
								super().__init__(*UpperCamelCase					,						**UpperCamelCase      )