


'''simple docstring'''

import copy

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


lowerCamelCase				:  Optional[int]    		=      logging.get_logger(__name__)

lowerCamelCase				:  str    		=      {
    'ut/deta': 'https://huggingface.co/ut/deta/resolve/main/config.json',
}
class     __lowerCAmelCase		(lowercase_	):





      '''simple docstring'''






      lowerCAmelCase__   :	Any       =				"""deta"""
      lowerCAmelCase__   :	int       =				{
          """hidden_size""": """d_model""",
          """num_attention_heads""": """encoder_attention_heads""",
      }



      def __init__(self       :       Any  ,		UpperCamelCase       :       str=None  ,		UpperCamelCase       :       Dict=900  ,		UpperCamelCase       :       Optional[int]=2048  ,		UpperCamelCase       :       Tuple=6  ,		UpperCamelCase       :       Optional[int]=2048  ,		UpperCamelCase       :       Optional[int]=8  ,		UpperCamelCase       :       Any=6  ,		UpperCamelCase       :       Tuple=1024  ,		UpperCamelCase       :       Dict=8  ,		UpperCamelCase       :       List[Any]=0.0  ,		UpperCamelCase       :       Any=True  ,		UpperCamelCase       :       List[Any]="relu"  ,		UpperCamelCase       :       Optional[Any]=256  ,		UpperCamelCase       :       Tuple=0.1  ,		UpperCamelCase       :       Optional[int]=0.0  ,		UpperCamelCase       :       List[Any]=0.0  ,		UpperCamelCase       :       Any=0.02  ,		UpperCamelCase       :       Tuple=1.0  ,		UpperCamelCase       :       Optional[int]=True  ,		UpperCamelCase       :       Any=False  ,		UpperCamelCase       :       str="sine"  ,		UpperCamelCase       :       List[str]=5  ,		UpperCamelCase       :       Tuple=4  ,		UpperCamelCase       :       Any=4  ,		UpperCamelCase       :       List[Any]=True  ,		UpperCamelCase       :       str=300  ,		UpperCamelCase       :       Optional[Any]=True  ,		UpperCamelCase       :       Optional[Any]=True  ,		UpperCamelCase       :       Dict=1  ,		UpperCamelCase       :       int=5  ,		UpperCamelCase       :       List[str]=2  ,		UpperCamelCase       :       Union[str, Any]=1  ,		UpperCamelCase       :       Optional[Any]=1  ,		UpperCamelCase       :       Optional[Any]=5  ,		UpperCamelCase       :       str=2  ,		UpperCamelCase       :       Any=0.1  ,		UpperCamelCase       :       Union[str, Any]=0.25  ,		**UpperCamelCase       :       Optional[Any]  ,		):

             '''simple docstring'''







             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=['''stage2''', '''stage3''', '''stage4''']					)
             else:
                    if isinstance(UpperCamelCase  ,		UpperCamelCase					):
                           lowercase__      =					backbone_config.pop('''model_type'''					)
                           lowercase__      =					CONFIG_MAPPING[backbone_model_type]
                           lowercase__      =					config_class.from_dict(UpperCamelCase					)

             lowercase__      =					backbone_config
             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
             # 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
             lowercase__      =					assign_first_stage
             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
             super().__init__(is_encoder_decoder=UpperCamelCase  ,		**UpperCamelCase					)



      @property
      def  UpperCamelCase__						(self       :       str					):

             '''simple docstring'''







             return self.encoder_attention_heads



      @property
      def  UpperCamelCase__						(self       :       List[Any]					):

             '''simple docstring'''







             return self.d_model






      def  UpperCamelCase__						(self       :       List[Any]					):

             '''simple docstring'''







             lowercase__      =					copy.deepcopy(self.__dict__					)
             lowercase__      =					self.backbone_config.to_dict()
             lowercase__      =					self.__class__.model_type
             return output








'''simple docstring'''

def _SCREAMING_SNAKE_CASE (A			)			->			bool:






       """simple docstring"""







       if not isinstance(A    ,					A			):
              raise ValueError('''Input series is not valid, valid series - [2, 4, 6]'''			)
       if len(A			) == 0:
              raise ValueError('''Input list must be a non empty list'''			)
       if len(A			) == 1:
              return True
       lowercase__      =					series[1] - series[0]
       for index in range(len(A			) - 1			):
              if series[index + 1] - series[index] != common_diff:
                     return False
       return True

def _SCREAMING_SNAKE_CASE (A			)			->			float:






       """simple docstring"""







       if not isinstance(A    ,					A			):
              raise ValueError('''Input series is not valid, valid series - [2, 4, 6]'''			)
       if len(A			) == 0:
              raise ValueError('''Input list must be a non empty list'''			)
       lowercase__      =					0
       for val in series:
              answer += val
       return answer / len(A			)


if __name__ == "__main__":
 import doctest

 doctest.testmod()




