






import copy

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


__a:     List[str]   					=					logging.get_logger(__name__)
class 		SCREAMING_SNAKE_CASE__	(  UpperCAmelCase     ):

  '''simple docstring'''







  _lowerCamelCase    =  '''upernet'''


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


         """simple docstring"""
         super().__init__(**lowerCamelCase							)

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

         _UpperCAmelCase							=    backbone_config
         _UpperCAmelCase							=    hidden_size
         _UpperCAmelCase							=    initializer_range
         _UpperCAmelCase							=    pool_scales
         _UpperCAmelCase							=    use_auxiliary_head
         _UpperCAmelCase							=    auxiliary_loss_weight
         _UpperCAmelCase							=    auxiliary_in_channels
         _UpperCAmelCase							=    auxiliary_channels
         _UpperCAmelCase							=    auxiliary_num_convs
         _UpperCAmelCase							=    auxiliary_concat_input
         _UpperCAmelCase							=    loss_ignore_index





  def  lowerCamelCase       (      self		:			int							)						->	List[Any]:


         """simple docstring"""
         _UpperCAmelCase							=    copy.deepcopy(self.__dict__							)
         _UpperCAmelCase							=    self.backbone_config.to_dict()
         _UpperCAmelCase							=    self.__class__.model_type
         return output


"""simple docstring"""

def       SCREAMING_SNAKE_CASE							( lowercase__					,					lowercase__   )			->						float:
 if digit_amount > 0:
  return round(number - int(lowercase__   )					,					lowercase__   )
 return number - int(lowercase__   )


if __name__ == "__main__":
    print(decimal_isolate(1.53, 0))
    print(decimal_isolate(35.345, 1))
    print(decimal_isolate(35.345, 2))
    print(decimal_isolate(35.345, 3))
    print(decimal_isolate(-14.789, 3))
    print(decimal_isolate(0, 2))
    print(decimal_isolate(-14.123, 1))
    print(decimal_isolate(-14.123, 2))
    print(decimal_isolate(-14.123, 3))






