





import copy

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


__A     =    logging.get_logger(__name__)



class        _SCREAMING_SNAKE_CASE						(     __SCREAMING_SNAKE_CASE   ):







 '''simple docstring'''
 lowercase_		=      "upernet"

 def __init__(self    :       str	,			UpperCAmelCase_    :       Dict=None	,			UpperCAmelCase_    :       Optional[int]=512	,			UpperCAmelCase_    :       Dict=0.02	,			UpperCAmelCase_    :       List[str]=[1, 2, 3, 6]	,			UpperCAmelCase_    :       Tuple=True	,			UpperCAmelCase_    :       Tuple=0.4	,			UpperCAmelCase_    :       List[Any]=384	,			UpperCAmelCase_    :       Optional[int]=256	,			UpperCAmelCase_    :       Union[str, Any]=1	,			UpperCAmelCase_    :       List[str]=False	,			UpperCAmelCase_    :       List[Any]=255	,			**UpperCAmelCase_    :       Optional[int]	,			)	->Union[str, Any]:



   '''simple docstring'''



   super().__init__(**UpperCAmelCase_)

   if backbone_config is None:
     logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.")
     lowerCamelCase__:				Union[str, Any]        =CONFIG_MAPPING["resnet"](out_features=["stage1", "stage2", "stage3", "stage4"])
   elif isinstance(UpperCAmelCase_	,			UpperCAmelCase_):
     lowerCamelCase__:				Union[str, Any]        =backbone_config.get("model_type")
     lowerCamelCase__:				Any        =CONFIG_MAPPING[backbone_model_type]
     lowerCamelCase__:				Optional[int]        =config_class.from_dict(UpperCAmelCase_)

   lowerCamelCase__:				List[str]        =backbone_config
   lowerCamelCase__:				str        =hidden_size
   lowerCamelCase__:				int        =initializer_range
   lowerCamelCase__:				str        =pool_scales
   lowerCamelCase__:				Any        =use_auxiliary_head
   lowerCamelCase__:				Union[str, Any]        =auxiliary_loss_weight
   lowerCamelCase__:				List[Any]        =auxiliary_in_channels
   lowerCamelCase__:				Tuple        =auxiliary_channels
   lowerCamelCase__:				Union[str, Any]        =auxiliary_num_convs
   lowerCamelCase__:				int        =auxiliary_concat_input
   lowerCamelCase__:				Union[str, Any]        =loss_ignore_index







 def 							SCREAMING_SNAKE_CASE_ (self    :       Optional[Any])	->List[str]:



   '''simple docstring'''



   lowerCamelCase__:				Union[str, Any]        =copy.deepcopy(self.__dict__)
   lowerCamelCase__:				List[Any]        =self.backbone_config.to_dict()
   lowerCamelCase__:				Optional[int]        =self.__class__.model_type
   return output








def 					lowerCAmelCase_			(	__a		)					->		str:







  """simple docstring"""





  if isinstance(__a     ,   __a		):
    raise TypeError("'float' object cannot be interpreted as an integer"		)
  if isinstance(__a     ,   __a		):
    raise TypeError("'str' object cannot be interpreted as an integer"		)

  if num == 0:
    return "0b0"

  lowerCamelCase__:				Optional[int]        =False

  if num < 0:
    lowerCamelCase__:				Optional[Any]        =True
    lowerCamelCase__:				List[Any]        =-num

  lowerCamelCase__:				list[int]        =[]
  while num > 0:
    binary.insert(0     ,   num % 2		)
    num >>= 1

  if negative:
    return "-0b" + "".join(str(__a		) for e in binary		)

  return "0b" + "".join(str(__a		) for e in binary		)


if __name__ == "__main__":
     import doctest

     doctest.testmod()

