'''simple docstring'''

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase_     		= logging.get_logger(__name__)

lowercase_     		= {
    '''microsoft/swinv2-tiny-patch4-window8-256''': (
        '''https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256/resolve/main/config.json'''
    ),
}
class   SCREAMING_SNAKE_CASE			(						__lowercase):







		"""simple docstring"""
		lowercase   :      int       =							'swinv2'

		lowercase   :      List[str]       =							{
		    'num_attention_heads': 'num_heads',
		    'num_hidden_layers': 'num_layers',
		}






		def __init__(   self		,						__A=224		,						__A=4		,						__A=3		,						__A=96		,						__A=[2, 2, 6, 2]		,						__A=[3, 6, 12, 24]		,						__A=7		,						__A=4.0		,						__A=True		,						__A=0.0		,						__A=0.0		,						__A=0.1		,						__A="gelu"		,						__A=False		,						__A=0.02		,						__A=1E-5		,						__A=32		,						**__A		,						) ->     Optional[Any]:
								super().__init__(**__A				)

								_lowerCAmelCase										=image_size
								_lowerCAmelCase										=patch_size
								_lowerCAmelCase										=num_channels
								_lowerCAmelCase										=embed_dim
								_lowerCAmelCase										=depths
								_lowerCAmelCase										=len(__A				)
								_lowerCAmelCase										=num_heads
								_lowerCAmelCase										=window_size
								_lowerCAmelCase										=mlp_ratio
								_lowerCAmelCase										=qkv_bias
								_lowerCAmelCase										=hidden_dropout_prob
								_lowerCAmelCase										=attention_probs_dropout_prob
								_lowerCAmelCase										=drop_path_rate
								_lowerCAmelCase										=hidden_act
								_lowerCAmelCase										=use_absolute_embeddings
								_lowerCAmelCase										=layer_norm_eps
								_lowerCAmelCase										=initializer_range
								_lowerCAmelCase										=encoder_stride
								# we set the hidden_size attribute in order to make Swinv2 work with VisionEncoderDecoderModel
								# this indicates the channel dimension after the last stage of the model
								_lowerCAmelCase										=int(embed_dim * 2 ** (len(__A				) - 1)				)
								_lowerCAmelCase										=(0, 0, 0, 0)






'''simple docstring'''

import unittest

from knapsack import knapsack as k
class   SCREAMING_SNAKE_CASE			(						unittest.TestCase):







		"""simple docstring"""






		def 		UpperCamelCase__       (   self				) ->     Optional[Any]:
								_lowerCAmelCase										=0
								_lowerCAmelCase										=[0]
								_lowerCAmelCase										=[0]
								_lowerCAmelCase										=len(__A				)
								self.assertEqual(k.knapsack(__A		,						__A		,						__A		,						__A				)		,						0				)

								_lowerCAmelCase										=[60]
								_lowerCAmelCase										=[10]
								_lowerCAmelCase										=len(__A				)
								self.assertEqual(k.knapsack(__A		,						__A		,						__A		,						__A				)		,						0				)






		def 		UpperCamelCase__       (   self				) ->     Tuple:
								_lowerCAmelCase										=3
								_lowerCAmelCase										=[1, 2, 3]
								_lowerCAmelCase										=[3, 2, 1]
								_lowerCAmelCase										=len(__A				)
								self.assertEqual(k.knapsack(__A		,						__A		,						__A		,						__A				)		,						5				)






		def 		UpperCamelCase__       (   self				) ->     Union[str, Any]:
								_lowerCAmelCase										=50
								_lowerCAmelCase										=[60, 100, 120]
								_lowerCAmelCase										=[10, 20, 30]
								_lowerCAmelCase										=len(__A				)
								self.assertEqual(k.knapsack(__A		,						__A		,						__A		,						__A				)		,						220				)


if __name__ == "__main__":
							unittest.main()





