
'''simple docstring'''






def 		A_							(						_lowerCAmelCase :     Optional[int]				):



      """simple docstring"""




      _lowerCamelCase					: int		    = len(_lowerCAmelCase				)
      _lowerCamelCase					: Dict		    = sum(_lowerCAmelCase				)

      _lowerCamelCase					: List[Any]		    = [[False for x in range(s + 1				)] for y in range(n + 1				)]

      for i in range(1					,						n + 1				):
            _lowerCamelCase					: Optional[Any]		    = True

      for i in range(1					,						s + 1				):
            _lowerCamelCase					: Optional[int]		    = False

      for i in range(1					,						n + 1				):
            for j in range(1					,						s + 1				):
                  _lowerCamelCase					: Tuple		    = dp[i][j - 1]

                  if arr[i - 1] <= j:
                        _lowerCamelCase					: Optional[Any]		    = dp[i][j] or dp[i - 1][j - arr[i - 1]]

      for j in range(int(s / 2				)					,						-1					,						-1				):
            if dp[n][j] is True:
                  _lowerCamelCase					: int		    = s - 2 * j
                  break

      return diff





import warnings

from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor


UpperCamelCase__ :   Dict						=							logging.get_logger(__name__)







class 				lowerCAmelCase_       (					lowerCamelCase_							):






				def __init__(			self      ,*snake_case__      ,**snake_case__ ):
							warnings.warn(
							    'The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
							    ' Please use ChineseCLIPImageProcessor instead.'      ,snake_case__      ,)
							super().__init__(*snake_case__      ,**snake_case__ )



