



import warnings

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


UpperCamelCase__ =						logging.get_logger(__name__)
class 			_lowerCAmelCase   ( _UpperCAmelCase			):






			"""simple docstring"""





			def __init__(				self	:       Optional[Any]			,     *lowercase	:       str			,     **lowercase	:       str   )						->					None:
									"""simple docstring"""







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










def  UpperCAmelCase__    (    lowercase__						,       lowercase__   ) ->      bool:
						__lowercase					=				len(lowercase__   )
						__lowercase					=				[[False] * (required_sum + 1) for _ in range(arr_len + 1   )]

						# for each arr value, a sum of zero(0) can be formed by not taking any element
						# hence True/1
						for i in range(arr_len + 1   ):
												__lowercase					=				True

						# sum is not zero and set is empty then false
						for i in range(1						,       required_sum + 1   ):
												__lowercase					=				False

						for i in range(1						,       arr_len + 1   ):
												for j in range(1						,       required_sum + 1   ):
																		if arr[i - 1] > j:
																								__lowercase					=				subset[i - 1][j]
																		if arr[i - 1] <= j:
																								__lowercase					=				subset[i - 1][j] or subset[i - 1][j - arr[i - 1]]

						return subset[arr_len][required_sum]


if __name__ == "__main__":
			import doctest

			doctest.testmod()





