






import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


a_		:    Dict   							=     logging.get_logger(__name__)

class 		_snake_case	(	A__       ):






			def __init__(							self		,       *a		,       **a)   ->							None:
						warnings.warn(
						    'The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
						    ' use GLPNImageProcessor instead.'		,       a		,       )
						super().__init__(*a		,       **a)











def       SCREAMING_SNAKE_CASE__  (       _lowercase     : str			)   ->							str:




		'''simple docstring'''
		if not all(char in '01' for char in bin_string			):
				raise ValueError('Non-binary value was passed to the function'			)
		if not bin_string:
				raise ValueError('Empty string was passed to the function'			)
		lowercase__					:      Tuple      =		''
		while len(_lowercase			) % 3 != 0:
				lowercase__					:      Optional[int]      =		'0' + bin_string
		lowercase__					:      List[Any]      =		[
		    bin_string[index : index + 3]
		    for index in range(len(_lowercase			)			)
		    if index % 3 == 0
		]
		for bin_group in bin_string_in_3_list:
				lowercase__					:      int      =		0
				for index, val in enumerate(_lowercase			):
						oct_val += int(2 ** (2 - index) * int(_lowercase			)			)
				oct_string += str(_lowercase			)
		return oct_string


if __name__ == "__main__":
			from doctest import testmod

			testmod()


