

'''simple docstring'''

from ...configuration_utils import PretrainedConfig
from ...utils import logging


A_							    =				logging.get_logger(__name__)

A_							    =				{
    "vinvino02/glpn-kitti": "https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json",
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}





class 				_snake_case			(							_snake_case    ):
   _A							:  Tuple      =       'glpn'
   def __init__(			self      :   Dict  ,SCREAMING_SNAKE_CASE__      :   Tuple=3  ,SCREAMING_SNAKE_CASE__      :   Optional[Any]=4  ,SCREAMING_SNAKE_CASE__      :   Dict=[2, 2, 2, 2]  ,SCREAMING_SNAKE_CASE__      :   Union[str, Any]=[8, 4, 2, 1]  ,SCREAMING_SNAKE_CASE__      :   Any=[32, 64, 160, 256]  ,SCREAMING_SNAKE_CASE__      :   Tuple=[7, 3, 3, 3]  ,SCREAMING_SNAKE_CASE__      :   List[str]=[4, 2, 2, 2]  ,SCREAMING_SNAKE_CASE__      :   str=[1, 2, 5, 8]  ,SCREAMING_SNAKE_CASE__      :   Union[str, Any]=[4, 4, 4, 4]  ,SCREAMING_SNAKE_CASE__      :   Any="gelu"  ,SCREAMING_SNAKE_CASE__      :   int=0.0  ,SCREAMING_SNAKE_CASE__      :   str=0.0  ,SCREAMING_SNAKE_CASE__      :   Dict=0.02  ,SCREAMING_SNAKE_CASE__      :   Dict=0.1  ,SCREAMING_SNAKE_CASE__      :   Union[str, Any]=1e-6  ,SCREAMING_SNAKE_CASE__      :   Dict=64  ,SCREAMING_SNAKE_CASE__      :   Optional[int]=10  ,SCREAMING_SNAKE_CASE__      :   int=-1  ,**SCREAMING_SNAKE_CASE__      :   Optional[Any]  ,):
     super().__init__(**SCREAMING_SNAKE_CASE__				)

     SCREAMING_SNAKE_CASE:Dict       =       num_channels
     SCREAMING_SNAKE_CASE:List[str]       =       num_encoder_blocks
     SCREAMING_SNAKE_CASE:Any       =       depths
     SCREAMING_SNAKE_CASE:Dict       =       sr_ratios
     SCREAMING_SNAKE_CASE:int       =       hidden_sizes
     SCREAMING_SNAKE_CASE:Optional[int]       =       patch_sizes
     SCREAMING_SNAKE_CASE:Union[str, Any]       =       strides
     SCREAMING_SNAKE_CASE:List[Any]       =       mlp_ratios
     SCREAMING_SNAKE_CASE:Tuple       =       num_attention_heads
     SCREAMING_SNAKE_CASE:Tuple       =       hidden_act
     SCREAMING_SNAKE_CASE:List[Any]       =       hidden_dropout_prob
     SCREAMING_SNAKE_CASE:List[str]       =       attention_probs_dropout_prob
     SCREAMING_SNAKE_CASE:Optional[int]       =       initializer_range
     SCREAMING_SNAKE_CASE:Optional[int]       =       drop_path_rate
     SCREAMING_SNAKE_CASE:Any       =       layer_norm_eps
     SCREAMING_SNAKE_CASE:Tuple       =       decoder_hidden_size
     SCREAMING_SNAKE_CASE:Union[str, Any]       =       max_depth
     SCREAMING_SNAKE_CASE:List[Any]       =       head_in_index













'''simple docstring'''

from PIL import Image

def     __magic_name__							(				__UpperCAmelCase				,						__UpperCAmelCase   )    ->       Image:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE   				=							(259 * (level + 255)) / (255 * (259 - level))

   def contrast(__UpperCAmelCase   ) -> int:
      return int(128 + factor * (c - 128)   )

   return img.point(__UpperCAmelCase   )


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





