






'''simple docstring'''







from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__A      :       List[str]      =	logging.get_logger(__name__)

__A      :       str      =	{
    'MBZUAI/swiftformer-xs': 'https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json',
}






class 					a__    (			lowerCamelCase						):
     '''simple docstring'''







     _snake_case             =  'swiftformer'






     def __init__(self    :	List[Any]				,				lowercase__    :	Any=3				,				lowercase__    :	Optional[Any]=[3, 3, 6, 4]				,				lowercase__    :	Dict=[48, 56, 112, 220]				,				lowercase__    :	str=4				,				lowercase__    :	Union[str, Any]=[True, True, True, True]				,				lowercase__    :	Optional[int]="gelu"				,				lowercase__    :	Optional[int]=3				,				lowercase__    :	Optional[Any]=2				,				lowercase__    :	Tuple=1				,				lowercase__    :	List[Any]=0.0				,				lowercase__    :	Union[str, Any]=True				,				lowercase__    :	str=1e-5				,				lowercase__    :	Optional[Any]=1e-5				,				**lowercase__    :	Union[str, Any]				,				)  ->       str:
           super().__init__(**lowercase__					)
           __A		   =      num_channels
           __A		   =      depths
           __A		   =      embed_dims
           __A		   =      mlp_ratio
           __A		   =      downsamples
           __A		   =      hidden_act
           __A		   =      down_patch_size
           __A		   =      down_stride
           __A		   =      down_pad
           __A		   =      drop_path_rate
           __A		   =      use_layer_scale
           __A		   =      layer_scale_init_value
           __A		   =      batch_norm_eps







class 					a__    (			lowerCamelCase						):
     '''simple docstring'''







     _snake_case             =  version.parse('1.11'						)






     @property
     def     _UpperCamelCase   (self    :	List[str]					)  ->       Mapping[str, Mapping[int, str]]:
           return OrderedDict(
               [
                   ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
               ]					)






     @property
     def     _UpperCamelCase   (self    :	Optional[int]					)  ->       float:
           return 1e-4










'''simple docstring'''







from cva import destroyAllWindows, imread, imshow, waitKey


def 						_UpperCamelCase							(     snake_case__							,			snake_case__							):
      __A   ,				__A		   =      img.shape[0], img.shape[1]

      def to_grayscale(snake_case__							,			snake_case__							,			snake_case__							):
            return 0.2126 * red + 0.587 * green + 0.114 * blue

      def normalize(snake_case__							):
            return min(snake_case__							,			255							)

      for i in range(snake_case__							):
            for j in range(snake_case__							):
                  __A		   =      int(to_grayscale(*img[i][j]							)							)
                  __A		   =      [
                      normalize(snake_case__							),
                      normalize(greyscale + factor							),
                      normalize(greyscale + 2 * factor							),
                  ]

      return img


if __name__ == "__main__":
       # read original image
       __A      :       Dict      =	{
           percentage: imread('image_data/lena.jpg', 1) for percentage in (1_0, 2_0, 3_0, 4_0)
       }

       for percentage, img in images.items():
              make_sepia(img, percentage)

       for percentage, img in images.items():
              imshow(F"""Original image with sepia (factor: {percentage})""", img)

       waitKey(0)
       destroyAllWindows()


