


"""simple docstring"""



import copy
from collections import OrderedDict
from typing import Dict, Mapping

from packaging import version

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


UpperCAmelCase      		=			logging.get_logger(__name__)

UpperCAmelCase      		=			{
    '''facebook/detr-resnet-50''': '''https://huggingface.co/facebook/detr-resnet-50/resolve/main/config.json''',
    # See all DETR models at https://huggingface.co/models?filter=detr
}
class 					__magic_name__		(			_UpperCamelCase     ):
       __A			:      int        =   "detr"
       __A			:      Any        =   ["past_key_values"]
       __A			:      Optional[int]        =   {
           "hidden_size": "d_model",
           "num_attention_heads": "encoder_attention_heads",
       }






       def __init__(   self  :    int  ,     snake_case__  :    Optional[Any]=True  ,     snake_case__  :    Any=None  ,     snake_case__  :    List[str]=3  ,     snake_case__  :    Dict=1_0_0  ,     snake_case__  :    Any=6  ,     snake_case__  :    Tuple=2_0_4_8  ,     snake_case__  :    List[Any]=8  ,     snake_case__  :    Any=6  ,     snake_case__  :    int=2_0_4_8  ,     snake_case__  :    Optional[int]=8  ,     snake_case__  :    Any=0.0  ,     snake_case__  :    str=0.0  ,     snake_case__  :    Any=True  ,     snake_case__  :    Dict="relu"  ,     snake_case__  :    List[str]=2_5_6  ,     snake_case__  :    Dict=0.1  ,     snake_case__  :    Optional[Any]=0.0  ,     snake_case__  :    List[Any]=0.0  ,     snake_case__  :    str=0.02  ,     snake_case__  :    Union[str, Any]=1.0  ,     snake_case__  :    List[Any]=False  ,     snake_case__  :    Optional[int]="sine"  ,     snake_case__  :    Union[str, Any]="resnet50"  ,     snake_case__  :    List[Any]=True  ,     snake_case__  :    str=False  ,     snake_case__  :    Union[str, Any]=1  ,     snake_case__  :    List[Any]=5  ,     snake_case__  :    int=2  ,     snake_case__  :    Tuple=1  ,     snake_case__  :    Dict=1  ,     snake_case__  :    str=5  ,     snake_case__  :    Union[str, Any]=2  ,     snake_case__  :    str=0.1  ,     **snake_case__  :    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		:Any       							=				CONFIG_MAPPING['''resnet'''](out_features=['''stage4''']				)
                     elif isinstance(_UpperCAmelCase  ,     _UpperCAmelCase				):
                            lowercase		:Optional[int]       							=				backbone_config.get('''model_type'''				)
                            lowercase		:Tuple       							=				CONFIG_MAPPING[backbone_model_type]
                            lowercase		:Union[str, Any]       							=				config_class.from_dict(_UpperCAmelCase				)
                     # set timm attributes to None
                     lowercase		:Union[str, Any]       							=				None, None, None

              lowercase		:Union[str, Any]       							=				use_timm_backbone
              lowercase		:Any       							=				backbone_config
              lowercase		:Tuple       							=				num_channels
              lowercase		:int       							=				num_queries
              lowercase		:str       							=				d_model
              lowercase		:Any       							=				encoder_ffn_dim
              lowercase		:int       							=				encoder_layers
              lowercase		:Optional[int]       							=				encoder_attention_heads
              lowercase		:Any       							=				decoder_ffn_dim
              lowercase		:str       							=				decoder_layers
              lowercase		:Union[str, Any]       							=				decoder_attention_heads
              lowercase		:List[Any]       							=				dropout
              lowercase		:Union[str, Any]       							=				attention_dropout
              lowercase		:int       							=				activation_dropout
              lowercase		:Dict       							=				activation_function
              lowercase		:str       							=				init_std
              lowercase		:int       							=				init_xavier_std
              lowercase		:Optional[Any]       							=				encoder_layerdrop
              lowercase		:Optional[int]       							=				decoder_layerdrop
              lowercase		:str       							=				encoder_layers
              lowercase		:List[str]       							=				auxiliary_loss
              lowercase		:Optional[Any]       							=				position_embedding_type
              lowercase		:Any       							=				backbone
              lowercase		:Tuple       							=				use_pretrained_backbone
              lowercase		:int       							=				dilation
              # Hungarian matcher
              lowercase		:str       							=				class_cost
              lowercase		:Optional[Any]       							=				bbox_cost
              lowercase		:Any       							=				giou_cost
              # Loss coefficients
              lowercase		:List[str]       							=				mask_loss_coefficient
              lowercase		:Dict       							=				dice_loss_coefficient
              lowercase		:str       							=				bbox_loss_coefficient
              lowercase		:str       							=				giou_loss_coefficient
              lowercase		:Any       							=				eos_coefficient
              super().__init__(is_encoder_decoder=_UpperCAmelCase  ,     **_UpperCAmelCase				)






       @property
       def  __snake_case						(   self  :    Tuple				):

              '''simple docstring'''






              return self.encoder_attention_heads






       @property
       def  __snake_case						(   self  :    List[str]				):

              '''simple docstring'''






              return self.d_model






       @classmethod
       def  __snake_case						(   cls  :    Optional[Any]  ,     snake_case__  :    str  ,     **snake_case__  :    Optional[int]				):

              '''simple docstring'''






              return cls(backbone_config=_UpperCAmelCase  ,     **_UpperCAmelCase				)







       def  __snake_case						(   self  :    Optional[Any]				):

              '''simple docstring'''






              lowercase		:Dict       							=				copy.deepcopy(self.__dict__				)
              if output["backbone_config"] is not None:
                     lowercase		:Tuple       							=				self.backbone_config.to_dict()
              lowercase		:Dict       							=				self.__class__.model_type
              return output







class 					__magic_name__		(			_UpperCamelCase     ):
       __A			:      Dict        =   version.parse("1.11"     )






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

              '''simple docstring'''






              return OrderedDict(
                  [
                      ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
                      ('''pixel_mask''', {0: '''batch'''}),
                  ]				)






       @property
       def  __snake_case						(   self  :    str				):

              '''simple docstring'''






              return 1e-5







       @property
       def  __snake_case						(   self  :    Dict				):

              '''simple docstring'''






              return 1_2





"""simple docstring"""



UpperCAmelCase      		=			{str(digit): digit**5 for digit in range(10)}






def       lowerCamelCase					(a_						:int)     ->							int:
       return sum(DIGITS_FIFTH_POWER[digit] for digit in str(a_))






def       lowerCamelCase					()     ->							int:
       return sum(
           number
           for number in range(1000				,				100_0000)
           if number == digits_fifth_powers_sum(a_))


if __name__ == "__main__":
 print(solution())

