





from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__UpperCAmelCase							=   logging.get_logger(__name__)

__UpperCAmelCase							=   {
    """microsoft/focalnet-tiny""": """https://huggingface.co/microsoft/focalnet-tiny/resolve/main/config.json""",
}

class 		__a				(						__SCREAMING_SNAKE_CASE      ,__SCREAMING_SNAKE_CASE   ):
       __snake_case    : str   =		"""focalnet"""



       def __init__(  self						: List[Any]       ,      UpperCAmelCase						: List[Any]=2_24       ,      UpperCAmelCase						: Union[str, Any]=4       ,      UpperCAmelCase						: List[Any]=3       ,      UpperCAmelCase						: Union[str, Any]=96       ,      UpperCAmelCase						: List[Any]=False       ,      UpperCAmelCase						: Optional[int]=[1_92, 3_84, 7_68, 7_68]       ,      UpperCAmelCase						: Optional[int]=[2, 2, 6, 2]       ,      UpperCAmelCase						: Any=[2, 2, 2, 2]       ,      UpperCAmelCase						: str=[3, 3, 3, 3]       ,      UpperCAmelCase						: Union[str, Any]="gelu"       ,      UpperCAmelCase						: str=4.0       ,      UpperCAmelCase						: Optional[int]=0.0       ,      UpperCAmelCase						: str=0.1       ,      UpperCAmelCase						: Union[str, Any]=False       ,      UpperCAmelCase						: Dict=1e-4       ,      UpperCAmelCase						: Dict=False       ,      UpperCAmelCase						: Union[str, Any]=False       ,      UpperCAmelCase						: Any=False       ,      UpperCAmelCase						: int=0.02       ,      UpperCAmelCase						: Optional[Any]=1e-5       ,      UpperCAmelCase						: Tuple=32       ,      UpperCAmelCase						: Tuple=None       ,      UpperCAmelCase						: Union[str, Any]=None       ,      **UpperCAmelCase						: int       ,      ):
           super().__init__(**A_      )

           lowerCAmelCase_       :						int							= image_size
           lowerCAmelCase_       :						Tuple							= patch_size
           lowerCAmelCase_       :						List[Any]							= num_channels
           lowerCAmelCase_       :						Tuple							= embed_dim
           lowerCAmelCase_       :						Union[str, Any]							= use_conv_embed
           lowerCAmelCase_       :						List[str]							= hidden_sizes
           lowerCAmelCase_       :						Optional[Any]							= depths
           lowerCAmelCase_       :						Optional[int]							= focal_levels
           lowerCAmelCase_       :						Any							= focal_windows
           lowerCAmelCase_       :						Optional[int]							= hidden_act
           lowerCAmelCase_       :						Optional[int]							= mlp_ratio
           lowerCAmelCase_       :						Optional[int]							= hidden_dropout_prob
           lowerCAmelCase_       :						Any							= drop_path_rate
           lowerCAmelCase_       :						List[str]							= use_layerscale
           lowerCAmelCase_       :						Dict							= layerscale_value
           lowerCAmelCase_       :						Union[str, Any]							= use_post_layernorm
           lowerCAmelCase_       :						Dict							= use_post_layernorm_in_modulation
           lowerCAmelCase_       :						Optional[Any]							= normalize_modulator
           lowerCAmelCase_       :						Any							= initializer_range
           lowerCAmelCase_       :						Tuple							= layer_norm_eps
           lowerCAmelCase_       :						Tuple							= encoder_stride
           lowerCAmelCase_       :						str							= ["""stem"""] + [F'stage{idx}' for idx in range(1       ,      len(self.depths      ) + 1      )]
           lowerCAmelCase_		,		lowerCAmelCase_       :						int							= get_aligned_output_features_output_indices(
               out_features=A_       ,      out_indices=A_       ,      stage_names=self.stage_names      )









class 					__snake_case	:


    '''simple docstring'''







    def __init__(       self   ,				A_   ,				A_   ,				A_     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			name
        SCREAMING_SNAKE_CASE__											=			value
        SCREAMING_SNAKE_CASE__											=			weight



    def __repr__(       self     ):





        '''simple docstring'''

        return f'''{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'''



    def  lowercase_					(       self     ):





        '''simple docstring'''

        return self.value



    def  lowercase_					(       self     ):





        '''simple docstring'''

        return self.name



    def  lowercase_					(       self     ):





        '''simple docstring'''

        return self.weight




    def  lowercase_					(       self     ):





        '''simple docstring'''

        return self.value / self.weight





def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_	)				->						Any:
    SCREAMING_SNAKE_CASE__											=			[]
    for i in range(len(lowerCAmelCase_	)	):
        menu.append(Things(name[i] ,							value[i] ,							weight[i]	)	)
    return menu


def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_	)				->						Dict:
    SCREAMING_SNAKE_CASE__											=			sorted(lowerCAmelCase_ ,							key=lowerCAmelCase_ ,							reverse=lowerCAmelCase_	)
    SCREAMING_SNAKE_CASE__											=			[]
    SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__											=			0.0, 0.0
    for i in range(len(lowerCAmelCase_	)	):
        if (total_cost + items_copy[i].get_weight()) <= max_cost:
            result.append(items_copy[i]	)
            total_cost += items_copy[i].get_weight()
            total_value += items_copy[i].get_value()
    return (result, total_value)


def 							__snake_case							(    )				->						str:
    pass


if __name__ == "__main__":
  import doctest

  doctest.testmod()
