




from __future__ import annotations



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[int]						,							_lowerCAmelCase							:   int	):




 """simple docstring"""







 if len(_lowerCAmelCase	) < k or k < 0:
  raise ValueError("Invalid Input"	)
 UpperCAmelCase__							 =						UpperCAmelCase__							 =						sum(array[:k]	)
 for i in range(len(_lowerCAmelCase	) - k	):
  UpperCAmelCase__							 =						current_sum - array[i] + array[i + k]
  UpperCAmelCase__							 =						max(_lowerCAmelCase						,							_lowerCAmelCase	)
 return max_sum


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

  testmod()
  _lowerCAmelCase						:   Tuple		=   [randint(-1_0_0_0, 1_0_0_0) for i in range(1_0_0)]
  _lowerCAmelCase						:   Tuple		=   randint(0, 1_1_0)
  print(F'''The maximum sum of {k} consecutive elements is {max_sum_in_array(array,k)}''')











import warnings

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


_lowerCAmelCase						:   int		=   logging.get_logger(__name__)
class 			_UpperCamelCase      (				lowerCAmelCase		):
      def __init__(			self   :Optional[Any] ,      *lowerCamelCase   :List[str] ,      **lowerCamelCase   :Tuple      )     ->			None:
       warnings.warn(
           "The class YolosFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
           " use YolosImageProcessor instead." ,      lowerCamelCase ,      )
       super().__init__(*lowerCamelCase ,      **lowerCamelCase      )





