import copy

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


_SCREAMING_SNAKE_CASE      						=	logging.get_logger(__name__)
class SCREAMING_SNAKE_CASE_						(	__UpperCAmelCase						):
   __lowerCAmelCase      =							"""upernet"""







   def __init__(			self		:		int					,					lowerCamelCase_		:		Any=None					,					lowerCamelCase_		:		List[Any]=512					,					lowerCamelCase_		:		str=0.0_2					,					lowerCamelCase_		:		List[Any]=[1, 2, 3, 6]					,					lowerCamelCase_		:		Optional[Any]=True					,					lowerCamelCase_		:		Optional[Any]=0.4					,					lowerCamelCase_		:		int=384					,					lowerCamelCase_		:		int=256					,					lowerCamelCase_		:		int=1					,					lowerCamelCase_		:		Optional[int]=False					,					lowerCamelCase_		:		Union[str, Any]=255					,					**lowerCamelCase_		:		str					,					):





    """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		:		Optional[Any]							):





    """simple docstring"""


    UpperCamelCase          =	copy.deepcopy(self.__dict__							)
    UpperCamelCase          =	self.backbone_config.to_dict()
    UpperCamelCase          =	self.__class__.model_type
    return output

"""simple docstring"""






from PIL import Image



def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							(2_5_9 * (level + 2_5_5)) / (2_5_5 * (2_5_9 - level))

				def contrast(lowerCamelCase       ) -> int:
								return int(1_2_8 + factor * (c - 1_2_8)       )

				return img.point(lowerCamelCase       )


if __name__ == "__main__":
						# Load image
						with Image.open('image_data/lena.jpg') as img:
												# Change contrast to 170
												lowerCAmelCase__  :  Any						     =	change_contrast(img, 170)
												cont_img.save('image_data/lena_high_contrast.png', format='png')



