'''simple docstring'''

import copy
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


lowercase_     		= logging.get_logger(__name__)

lowercase_     		= {
    '''microsoft/conditional-detr-resnet-50''': (
        '''https://huggingface.co/microsoft/conditional-detr-resnet-50/resolve/main/config.json'''
    ),
}
class   SCREAMING_SNAKE_CASE			(						__lowercase):







		"""simple docstring"""
		lowercase   :      List[Any]       =							'conditional_detr'
		lowercase   :      Dict       =							['past_key_values']
		lowercase   :      Optional[Any]       =							{
		    'hidden_size': 'd_model',
		    'num_attention_heads': 'encoder_attention_heads',
		}






		def __init__(   self		,						__A=True		,						__A=None		,						__A=3		,						__A=300		,						__A=6		,						__A=2048		,						__A=8		,						__A=6		,						__A=2048		,						__A=8		,						__A=0.0		,						__A=0.0		,						__A=True		,						__A="relu"		,						__A=256		,						__A=0.1		,						__A=0.0		,						__A=0.0		,						__A=0.02		,						__A=1.0		,						__A=False		,						__A="sine"		,						__A="resnet50"		,						__A=True		,						__A=False		,						__A=2		,						__A=5		,						__A=2		,						__A=1		,						__A=1		,						__A=2		,						__A=5		,						__A=2		,						__A=0.25		,						**__A		,						) ->     Optional[Any]:
								if backbone_config is not None and use_timm_backbone:
														raise ValueError('You can\'t specify both `backbone_config` and `use_timm_backbone`.'				)

								if not use_timm_backbone:
														if backbone_config is None:
																				logger.info('`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'				)
																				_lowerCAmelCase										=CONFIG_MAPPING['resnet'](out_features=['stage4']				)
														elif isinstance(__A		,						__A				):
																				_lowerCAmelCase										=backbone_config.get('model_type'				)
																				_lowerCAmelCase										=CONFIG_MAPPING[backbone_model_type]
																				_lowerCAmelCase										=config_class.from_dict(__A				)

								_lowerCAmelCase										=use_timm_backbone
								_lowerCAmelCase										=backbone_config
								_lowerCAmelCase										=num_channels
								_lowerCAmelCase										=num_queries
								_lowerCAmelCase										=d_model
								_lowerCAmelCase										=encoder_ffn_dim
								_lowerCAmelCase										=encoder_layers
								_lowerCAmelCase										=encoder_attention_heads
								_lowerCAmelCase										=decoder_ffn_dim
								_lowerCAmelCase										=decoder_layers
								_lowerCAmelCase										=decoder_attention_heads
								_lowerCAmelCase										=dropout
								_lowerCAmelCase										=attention_dropout
								_lowerCAmelCase										=activation_dropout
								_lowerCAmelCase										=activation_function
								_lowerCAmelCase										=init_std
								_lowerCAmelCase										=init_xavier_std
								_lowerCAmelCase										=encoder_layerdrop
								_lowerCAmelCase										=decoder_layerdrop
								_lowerCAmelCase										=encoder_layers
								_lowerCAmelCase										=auxiliary_loss
								_lowerCAmelCase										=position_embedding_type
								_lowerCAmelCase										=backbone
								_lowerCAmelCase										=use_pretrained_backbone
								_lowerCAmelCase										=dilation
								# Hungarian matcher
								_lowerCAmelCase										=class_cost
								_lowerCAmelCase										=bbox_cost
								_lowerCAmelCase										=giou_cost
								# Loss coefficients
								_lowerCAmelCase										=mask_loss_coefficient
								_lowerCAmelCase										=dice_loss_coefficient
								_lowerCAmelCase										=cls_loss_coefficient
								_lowerCAmelCase										=bbox_loss_coefficient
								_lowerCAmelCase										=giou_loss_coefficient
								_lowerCAmelCase										=focal_alpha
								super().__init__(is_encoder_decoder=__A		,						**__A				)






		@property
		def 		UpperCamelCase__       (   self				) ->     int:
								return self.encoder_attention_heads






		@property
		def 		UpperCamelCase__       (   self				) ->     int:
								return self.d_model






		def 		UpperCamelCase__       (   self				) ->     List[Any]:
								_lowerCAmelCase										=copy.deepcopy(self.__dict__				)
								if self.backbone_config is not None:
														_lowerCAmelCase										=self.backbone_config.to_dict()
								_lowerCAmelCase										=self.__class__.model_type
								return output

class   SCREAMING_SNAKE_CASE			(						__lowercase):







		"""simple docstring"""
		lowercase   :      Optional[Any]       =							version.parse('1.11')






		@property
		def 		UpperCamelCase__       (   self				) ->     Mapping[str, Mapping[int, str]]:
								return OrderedDict(
								    [
								        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
								        ('pixel_mask', {0: 'batch'}),
								    ]				)






		@property
		def 		UpperCamelCase__       (   self				) ->     float:
								return 1E-5






		@property
		def 		UpperCamelCase__       (   self				) ->     int:
								return 12






'''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()





