





import warnings

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


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




class        _a    (    UpperCamelCase__):

      """simple docstring"""


      def __init__(		self:			Union[str, Any]	,    *__lowerCamelCase:			List[str]	,    **__lowerCamelCase:			Dict					):
          '''simple docstring'''


          warnings.warn(
              "The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
              " use GLPNImageProcessor instead."	,    __lowerCamelCase	,    )
          super().__init__(*__lowerCamelCase	,    **__lowerCamelCase					)








from __future__ import annotations

A__:    List[Any]  	=	10



def 				lowerCAmelCase_ (							A_):
    UpperCamelCase__:	Tuple					=     1
    UpperCamelCase__:	str					=     max(A_)
    while placement <= max_digit:
        # declare and initialize empty buckets
        UpperCamelCase__:	list[list]					=     [[] for _ in range(A_)]
        # split list_of_ints between the buckets
        for i in list_of_ints:
            UpperCamelCase__:	Union[str, Any]					=     int((i / placement) % RADIX)
            buckets[tmp].append(A_)
        # put each buckets' contents into list_of_ints
        UpperCamelCase__:	Union[str, Any]					=     0
        for b in range(A_):
            for i in buckets[b]:
                UpperCamelCase__:	Any					=     i
                a += 1
        # move to next
        placement *= RADIX
    return list_of_ints


if __name__ == "__main__":
   import doctest

   doctest.testmod()

