




'''simple docstring'''







class 					_a :





     '''simple docstring'''



     def __init__(				self							,__a							,__a=None							,__a=None							)      ->				Dict:
          snake_case			:      Dict        =			data
          snake_case			:      Union[str, Any]        =			previous
          snake_case			:      Tuple        =			next_node







     def __str__(				self							)      ->				str:
          return F'''{self.data}'''







     def 			snake_case_      (				self							)      ->				int:
          return self.data







     def 			snake_case_      (				self							)      ->				str:
          return self.next







     def 			snake_case_      (				self							)      ->				Tuple:
          return self.previous







class 					_a :





     '''simple docstring'''



     def __init__(				self							,__a							)      ->				str:
          snake_case			:      List[Any]        =			head







     def __iter__(				self							)      ->				List[Any]:
          return self







     def 			snake_case_      (				self							)      ->				Tuple:
          if not self.current:
               raise StopIteration
          else:
               snake_case			:      Tuple        =			self.current.get_data()
               snake_case			:      Optional[int]        =			self.current.get_next()
               return value







class 					_a :





     '''simple docstring'''



     def __init__(				self							)      ->				Union[str, Any]:
          snake_case			:      str        =			None  # First node in list
          snake_case			:      Dict        =			None  # Last node in list







     def __str__(				self							)      ->				Optional[int]:
          snake_case			:      List[Any]        =			self.head
          snake_case			:      Union[str, Any]        =			[]
          while current is not None:
               nodes.append(current.get_data()							)
               snake_case			:      Any        =			current.get_next()
          return " ".join(str(__a							) for node in nodes							)







     def __contains__(				self							,__a							)      ->				Union[str, Any]:
          snake_case			:      Optional[Any]        =			self.head
          while current:
               if current.get_data() == value:
                    return True
               snake_case			:      Any        =			current.get_next()
          return False







     def __iter__(				self							)      ->				Union[str, Any]:
          return LinkedListIterator(self.head							)







     def 			snake_case_      (				self							)      ->				str:
          if self.head:
               return self.head.get_data()
          return None







     def 			snake_case_      (				self							)      ->				Tuple:
          if self.tail:
               return self.tail.get_data()
          return None







     def 			snake_case_      (				self							,__a							)      ->				None:
          if self.head is None:
               snake_case			:      Optional[int]        =			node
               snake_case			:      Tuple        =			node
          else:
               self.insert_before_node(self.head							,__a							)







     def 			snake_case_      (				self							,__a							)      ->				None:
          if self.head is None:
               self.set_head(__a							)
          else:
               self.insert_after_node(self.tail							,__a							)







     def 			snake_case_      (				self							,__a							)      ->				None:
          snake_case			:      int        =			Node(__a							)
          if self.head is None:
               self.set_head(__a							)
          else:
               self.set_tail(__a							)







     def 			snake_case_      (				self							,__a							,__a							)      ->				None:
          snake_case			:      Optional[int]        =			node
          snake_case			:      str        =			node.previous

          if node.get_previous() is None:
               snake_case			:      Union[str, Any]        =			node_to_insert
          else:
               snake_case			:      int        =			node_to_insert

          snake_case			:      List[Any]        =			node_to_insert







     def 			snake_case_      (				self							,__a							,__a							)      ->				None:
          snake_case			:      List[str]        =			node
          snake_case			:      List[str]        =			node.next

          if node.get_next() is None:
               snake_case			:      List[Any]        =			node_to_insert
          else:
               snake_case			:      Optional[Any]        =			node_to_insert

          snake_case			:      Any        =			node_to_insert







     def 			snake_case_      (				self							,__a							,__a							)      ->				None:
          snake_case			:      Optional[Any]        =			1
          snake_case			:      Tuple        =			Node(__a							)
          snake_case			:      Dict        =			self.head
          while node:
               if current_position == position:
                    self.insert_before_node(__a							,__a							)
                    return
               current_position += 1
               snake_case			:      str        =			node.next
          self.insert_after_node(self.tail							,__a							)







     def 			snake_case_      (				self							,__a							)      ->				Node:
          snake_case			:      str        =			self.head
          while node:
               if node.get_data() == item:
                    return node
               snake_case			:      Union[str, Any]        =			node.get_next()
          raise Exception("""Node not found"""							)







     def 			snake_case_      (				self							,__a							)      ->				Union[str, Any]:
          if (node := self.get_node(__a							)) is not None:
               if node == self.head:
                    snake_case			:      Any        =			self.head.get_next()

               if node == self.tail:
                    snake_case			:      Any        =			self.tail.get_previous()

               self.remove_node_pointers(__a							)







     @staticmethod
     def 			snake_case_      (				__a							)      ->				None:
          if node.get_next():
               snake_case			:      Optional[Any]        =			node.previous

          if node.get_previous():
               snake_case			:      Tuple        =			node.next

          snake_case			:      List[Any]        =			None
          snake_case			:      Optional[Any]        =			None







     def 			snake_case_      (				self							)      ->				Any:
          return self.head is None



def        lowerCamelCase__				(      ):
     pass


if __name__ == "__main__":
      import doctest

      doctest.testmod()









'''simple docstring'''







import copy

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


lowercase      :   Tuple      =       logging.get_logger(__name__)

lowercase      :   Dict      =       {
    """ut/deta""": """https://huggingface.co/ut/deta/resolve/main/config.json""",
}







class 					_a (a__	):





     '''simple docstring'''



     lowerCAmelCase_  :     str          =					"""deta"""
     lowerCAmelCase_  :     Any          =					{
         """hidden_size""": """d_model""",
         """num_attention_heads""": """encoder_attention_heads""",
     }







     def __init__(				self							,__a=None							,__a=900							,__a=2_048							,__a=6							,__a=2_048							,__a=8							,__a=6							,__a=1_024							,__a=8							,__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=True							,__a=False							,__a="sine"							,__a=5							,__a=4							,__a=4							,__a=True							,__a=300							,__a=True							,__a=True							,__a=1							,__a=5							,__a=2							,__a=1							,__a=1							,__a=5							,__a=2							,__a=0.1							,__a=0.25							,**__a							,)      ->				int:
          if backbone_config is None:
               logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."""							)
               snake_case			:      int        =			CONFIG_MAPPING["""resnet"""](out_features=["""stage2""", """stage3""", """stage4"""]							)
          else:
               if isinstance(__a							,__a							):
                    snake_case			:      str        =			backbone_config.pop("""model_type"""							)
                    snake_case			:      Optional[Any]        =			CONFIG_MAPPING[backbone_model_type]
                    snake_case			:      List[Any]        =			config_class.from_dict(__a							)

          snake_case			:      Any        =			backbone_config
          snake_case			:      Optional[Any]        =			num_queries
          snake_case			:      Dict        =			max_position_embeddings
          snake_case			:      int        =			d_model
          snake_case			:      str        =			encoder_ffn_dim
          snake_case			:      Dict        =			encoder_layers
          snake_case			:      List[Any]        =			encoder_attention_heads
          snake_case			:      int        =			decoder_ffn_dim
          snake_case			:      List[Any]        =			decoder_layers
          snake_case			:      Dict        =			decoder_attention_heads
          snake_case			:      Dict        =			dropout
          snake_case			:      Dict        =			attention_dropout
          snake_case			:      List[Any]        =			activation_dropout
          snake_case			:      Dict        =			activation_function
          snake_case			:      List[Any]        =			init_std
          snake_case			:      Any        =			init_xavier_std
          snake_case			:      List[Any]        =			encoder_layerdrop
          snake_case			:      Optional[Any]        =			auxiliary_loss
          snake_case			:      Optional[int]        =			position_embedding_type
          # deformable attributes
          snake_case			:      Tuple        =			num_feature_levels
          snake_case			:      List[Any]        =			encoder_n_points
          snake_case			:      Dict        =			decoder_n_points
          snake_case			:      int        =			two_stage
          snake_case			:      Any        =			two_stage_num_proposals
          snake_case			:      List[str]        =			with_box_refine
          snake_case			:      Tuple        =			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
          snake_case			:      Optional[int]        =			class_cost
          snake_case			:      int        =			bbox_cost
          snake_case			:      Optional[int]        =			giou_cost
          # Loss coefficients
          snake_case			:      str        =			mask_loss_coefficient
          snake_case			:      Any        =			dice_loss_coefficient
          snake_case			:      List[Any]        =			bbox_loss_coefficient
          snake_case			:      List[Any]        =			giou_loss_coefficient
          snake_case			:      List[str]        =			eos_coefficient
          snake_case			:      Optional[Any]        =			focal_alpha
          super().__init__(is_encoder_decoder=__a							,**__a							)







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







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







     def 			snake_case_      (				self							)      ->				List[str]:
          snake_case			:      List[str]        =			copy.deepcopy(self.__dict__							)
          snake_case			:      List[str]        =			self.backbone_config.to_dict()
          snake_case			:      List[Any]        =			self.__class__.model_type
          return output



