import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


SCREAMING_SNAKE_CASE			:						int				  =		logging.get_logger(__name__)
class  A_			(							a_			):

  def __init__(		self			:   Optional[Any]  ,				*__SCREAMING_SNAKE_CASE			:   Optional[int]  ,				**__SCREAMING_SNAKE_CASE			:   Tuple							):
   warnings.warn(
       "The class YolosFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
       " use YolosImageProcessor instead."  ,				__SCREAMING_SNAKE_CASE  ,				)
   super().__init__(*__SCREAMING_SNAKE_CASE  ,				**__SCREAMING_SNAKE_CASE							)



from typing import Any



def 	__A		(      _A       ):



 """simple docstring"""


 if not input_list:
  return []
 __a							=	[input_list.count(_A       ) for value in input_list]
 __a							=	max(_A       )  # Gets the maximum count in the input list.
 # Gets values of modes
 return sorted({input_list[i] for i, value in enumerate(_A       ) if value == y}       )


if __name__ == "__main__":
  import doctest

  doctest.testmod()


