


'''simple docstring'''






import copy

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


a_					:    int          =    logging.get_logger(__name__)

a_					:    Union[str, Any]          =    {
    "ut/deta": "https://huggingface.co/ut/deta/resolve/main/config.json",
}




class 			a     (     _SCREAMING_SNAKE_CASE       ):
 _lowerCAmelCase 					=	"""deta"""
 _lowerCAmelCase 					=	{
     """hidden_size""": """d_model""",
     """num_attention_heads""": """encoder_attention_heads""",
 }
 def __init__( self      ,				__magic_name__=None      ,				__magic_name__=9_00      ,				__magic_name__=20_48      ,				__magic_name__=6      ,				__magic_name__=20_48      ,				__magic_name__=8      ,				__magic_name__=6      ,				__magic_name__=10_24      ,				__magic_name__=8      ,				__magic_name__=0.0      ,				__magic_name__=True      ,				__magic_name__="relu"      ,				__magic_name__=2_56      ,				__magic_name__=0.1      ,				__magic_name__=0.0      ,				__magic_name__=0.0      ,				__magic_name__=0.0_2      ,				__magic_name__=1.0      ,				__magic_name__=True      ,				__magic_name__=False      ,				__magic_name__="sine"      ,				__magic_name__=5      ,				__magic_name__=4      ,				__magic_name__=4      ,				__magic_name__=True      ,				__magic_name__=3_00      ,				__magic_name__=True      ,				__magic_name__=True      ,				__magic_name__=1      ,				__magic_name__=5      ,				__magic_name__=2      ,				__magic_name__=1      ,				__magic_name__=1      ,				__magic_name__=5      ,				__magic_name__=2      ,				__magic_name__=0.1      ,				__magic_name__=0.2_5      ,				**__magic_name__      ,				)					->							Optional[Any]:
      if backbone_config is None:
           logger.info('`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'						)
           _a			      =							CONFIG_MAPPING['resnet'](out_features=['stage2', 'stage3', 'stage4']						)
      else:
           if isinstance(__magic_name__      ,				__magic_name__						):
                _a			      =							backbone_config.pop('model_type'						)
                _a			      =							CONFIG_MAPPING[backbone_model_type]
                _a			      =							config_class.from_dict(__magic_name__						)

      _a			      =							backbone_config
      _a			      =							num_queries
      _a			      =							max_position_embeddings
      _a			      =							d_model
      _a			      =							encoder_ffn_dim
      _a			      =							encoder_layers
      _a			      =							encoder_attention_heads
      _a			      =							decoder_ffn_dim
      _a			      =							decoder_layers
      _a			      =							decoder_attention_heads
      _a			      =							dropout
      _a			      =							attention_dropout
      _a			      =							activation_dropout
      _a			      =							activation_function
      _a			      =							init_std
      _a			      =							init_xavier_std
      _a			      =							encoder_layerdrop
      _a			      =							auxiliary_loss
      _a			      =							position_embedding_type
      # deformable attributes
      _a			      =							num_feature_levels
      _a			      =							encoder_n_points
      _a			      =							decoder_n_points
      _a			      =							two_stage
      _a			      =							two_stage_num_proposals
      _a			      =							with_box_refine
      _a			      =							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
      _a			      =							class_cost
      _a			      =							bbox_cost
      _a			      =							giou_cost
      # Loss coefficients
      _a			      =							mask_loss_coefficient
      _a			      =							dice_loss_coefficient
      _a			      =							bbox_loss_coefficient
      _a			      =							giou_loss_coefficient
      _a			      =							eos_coefficient
      _a			      =							focal_alpha
      super().__init__(is_encoder_decoder=__magic_name__      ,				**__magic_name__						)
 @property
 def 							__UpperCAmelCase		( self						)					->							int:
      return self.encoder_attention_heads
 @property
 def 							__UpperCAmelCase		( self						)					->							int:
      return self.d_model




 def 							__UpperCAmelCase		( self						)					->							Any:
      _a			      =							copy.deepcopy(self.__dict__						)
      _a			      =							self.backbone_config.to_dict()
      _a			      =							self.__class__.model_type
      return output





'''simple docstring'''






from functools import reduce

a_					:    Any          =    (
    "73167176531330624919225119674426574742355349194934"
    "96983520312774506326239578318016984801869478851843"
    "85861560789112949495459501737958331952853208805511"
    "12540698747158523863050715693290963295227443043557"
    "66896648950445244523161731856403098711121722383113"
    "62229893423380308135336276614282806444486645238749"
    "30358907296290491560440772390713810515859307960866"
    "70172427121883998797908792274921901699720888093776"
    "65727333001053367881220235421809751254540594752243"
    "52584907711670556013604839586446706324415722155397"
    "53697817977846174064955149290862569321978468622482"
    "83972241375657056057490261407972968652414535100474"
    "82166370484403199890008895243450658541227588666881"
    "16427171479924442928230863465674813919123162824586"
    "17866458359124566529476545682848912883142607690042"
    "24219022671055626321111109370544217506941658960408"
    "07198403850962455444362981230987879927244284909188"
    "84580156166097919133875499200524063689912560717606"
    "05886116467109405077541002256983155200055935729725"
    "71636269561882670428252483600823257530420752963450"
)






def 	_A				(lowerCAmelCase__  :str = N		)   ->  int:




     '''simple docstring'''



     return max(
         # mypy cannot properly interpret reduce
         int(reduce(lambda lowerCAmelCase__				,						lowerCAmelCase__		: str(int(lowerCAmelCase__		) * int(lowerCAmelCase__		)		)				,						n[i : i + 13]		)		)
         for i in range(len(lowerCAmelCase__		) - 12		)		)


if __name__ == "__main__":
 print(f'''{solution() = }''')

