

import copy

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


lowercase_             =     logging.get_logger(__name__)

lowercase_             =     {
    'SenseTime/deformable-detr': 'https://huggingface.co/sensetime/deformable-detr/resolve/main/config.json',
    # See all Deformable DETR models at https://huggingface.co/models?filter=deformable-detr
}





class 				__lowerCAmelCase  (      SCREAMING_SNAKE_CASE							):
  _a		    =						"""deformable_detr"""
  _a		    =						{
      """hidden_size""": """d_model""",
      """num_attention_heads""": """encoder_attention_heads""",
  }




  def __init__(       self							,     lowerCAmelCase=True							,     lowerCAmelCase=None							,     lowerCAmelCase=3							,     lowerCAmelCase=300							,     lowerCAmelCase=1_024							,     lowerCAmelCase=6							,     lowerCAmelCase=1_024							,     lowerCAmelCase=8							,     lowerCAmelCase=6							,     lowerCAmelCase=1_024							,     lowerCAmelCase=8							,     lowerCAmelCase=0.0							,     lowerCAmelCase=True							,     lowerCAmelCase="relu"							,     lowerCAmelCase=256							,     lowerCAmelCase=0.1							,     lowerCAmelCase=0.0							,     lowerCAmelCase=0.0							,     lowerCAmelCase=0.02							,     lowerCAmelCase=1.0							,     lowerCAmelCase=True							,     lowerCAmelCase=False							,     lowerCAmelCase="sine"							,     lowerCAmelCase="resnet50"							,     lowerCAmelCase=True							,     lowerCAmelCase=False							,     lowerCAmelCase=4							,     lowerCAmelCase=4							,     lowerCAmelCase=4							,     lowerCAmelCase=False							,     lowerCAmelCase=300							,     lowerCAmelCase=False							,     lowerCAmelCase=1							,     lowerCAmelCase=5							,     lowerCAmelCase=2							,     lowerCAmelCase=1							,     lowerCAmelCase=1							,     lowerCAmelCase=5							,     lowerCAmelCase=2							,     lowerCAmelCase=0.1							,     lowerCAmelCase=0.25							,     lowerCAmelCase=False							,     **lowerCAmelCase							,     )						->				Dict:
        '''simple docstring'''






        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.'      )
                    _lowercase			 =CONFIG_MAPPING['resnet'](out_features=['stage4']      )
              elif isinstance(lowerCAmelCase							,     lowerCAmelCase      ):
                    _lowercase			 =backbone_config.get('model_type'      )
                    _lowercase			 =CONFIG_MAPPING[backbone_model_type]
                    _lowercase			 =config_class.from_dict(lowerCAmelCase      )
        _lowercase			 =use_timm_backbone
        _lowercase			 =backbone_config
        _lowercase			 =num_channels
        _lowercase			 =num_queries
        _lowercase			 =max_position_embeddings
        _lowercase			 =d_model
        _lowercase			 =encoder_ffn_dim
        _lowercase			 =encoder_layers
        _lowercase			 =encoder_attention_heads
        _lowercase			 =decoder_ffn_dim
        _lowercase			 =decoder_layers
        _lowercase			 =decoder_attention_heads
        _lowercase			 =dropout
        _lowercase			 =attention_dropout
        _lowercase			 =activation_dropout
        _lowercase			 =activation_function
        _lowercase			 =init_std
        _lowercase			 =init_xavier_std
        _lowercase			 =encoder_layerdrop
        _lowercase			 =auxiliary_loss
        _lowercase			 =position_embedding_type
        _lowercase			 =backbone
        _lowercase			 =use_pretrained_backbone
        _lowercase			 =dilation
        # deformable attributes
        _lowercase			 =num_feature_levels
        _lowercase			 =encoder_n_points
        _lowercase			 =decoder_n_points
        _lowercase			 =two_stage
        _lowercase			 =two_stage_num_proposals
        _lowercase			 =with_box_refine
        if two_stage is True and with_box_refine is False:
              raise ValueError('If two_stage is True, with_box_refine must be True.'      )
        # Hungarian matcher
        _lowercase			 =class_cost
        _lowercase			 =bbox_cost
        _lowercase			 =giou_cost
        # Loss coefficients
        _lowercase			 =mask_loss_coefficient
        _lowercase			 =dice_loss_coefficient
        _lowercase			 =bbox_loss_coefficient
        _lowercase			 =giou_loss_coefficient
        _lowercase			 =eos_coefficient
        _lowercase			 =focal_alpha
        _lowercase			 =disable_custom_kernels
        super().__init__(is_encoder_decoder=lowerCAmelCase							,     **lowerCAmelCase      )




  @property
  def 						A__  (       self      )						->				int:
        '''simple docstring'''






        return self.encoder_attention_heads




  @property
  def 						A__  (       self      )						->				int:
        '''simple docstring'''






        return self.d_model




  def 						A__  (       self      )						->				Any:
        '''simple docstring'''






        _lowercase			 =copy.deepcopy(self.__dict__      )
        if self.backbone_config is not None:
              _lowercase			 =self.backbone_config.to_dict()
        _lowercase			 =self.__class__.model_type
        return output





import unittest

from knapsack import knapsack as k





class 				__lowerCAmelCase  (      unittest.TestCase							):




  def 						A__  (       self      )						->				List[str]:
        '''simple docstring'''






        _lowercase			 =0
        _lowercase			 =[0]
        _lowercase			 =[0]
        _lowercase			 =len(lowerCAmelCase      )
        self.assertEqual(k.knapsack(lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase      )							,     0      )

        _lowercase			 =[60]
        _lowercase			 =[10]
        _lowercase			 =len(lowerCAmelCase      )
        self.assertEqual(k.knapsack(lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase      )							,     0      )




  def 						A__  (       self      )						->				List[Any]:
        '''simple docstring'''






        _lowercase			 =3
        _lowercase			 =[1, 2, 3]
        _lowercase			 =[3, 2, 1]
        _lowercase			 =len(lowerCAmelCase      )
        self.assertEqual(k.knapsack(lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase      )							,     5      )




  def 						A__  (       self      )						->				str:
        '''simple docstring'''






        _lowercase			 =50
        _lowercase			 =[60, 100, 120]
        _lowercase			 =[10, 20, 30]
        _lowercase			 =len(lowerCAmelCase      )
        self.assertEqual(k.knapsack(lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase      )							,     220      )


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


