


"""simple docstring"""
import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


__SCREAMING_SNAKE_CASE							:    List[str]		=    logging.get_logger(__name__)





class      __A     (a__):





							'''simple docstring'''

							def __init__(				self							:      List[Any]		,       *UpperCAmelCase_							:      str		,       **UpperCAmelCase_							:      List[str]       )					->None:



														"""simple docstring"""



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







"""simple docstring"""
def 						_a				(      _SCREAMING_SNAKE_CASE				, _SCREAMING_SNAKE_CASE				, _SCREAMING_SNAKE_CASE				, _SCREAMING_SNAKE_CASE				, _SCREAMING_SNAKE_CASE				)    ->				int:
							if index == number_of_items:
														return 0
							snake_case_           =		0
							snake_case_           =		0
							snake_case_           =		knapsack(_SCREAMING_SNAKE_CASE				, _SCREAMING_SNAKE_CASE				, _SCREAMING_SNAKE_CASE				, _SCREAMING_SNAKE_CASE				, index + 1				)
							if weights[index] <= max_weight:
														snake_case_           =		values[index] + knapsack(
														    _SCREAMING_SNAKE_CASE				, _SCREAMING_SNAKE_CASE				, _SCREAMING_SNAKE_CASE				, max_weight - weights[index]				, index + 1				)
							return max(_SCREAMING_SNAKE_CASE				, _SCREAMING_SNAKE_CASE				)


if __name__ == "__main__":
				import doctest

				doctest.testmod()



