

from cva import destroyAllWindows, imread, imshow, waitKey


def 				_UpperCAmelCase							(	a__     ,  a__):

			'''simple docstring'''



			a_       ,				a_	:	Optional[int]          =   img.shape[0], img.shape[1]

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

			def normalize(a__):
						return min(a__     ,  2_5_5)

			for i in range(a__):
						for j in range(a__):
									a_	:	Optional[Any]          =   int(to_grayscale(*img[i][j]))
									a_	:	Union[str, Any]          =   [
									    normalize(a__),
									    normalize(greyscale + factor),
									    normalize(greyscale + 2 * factor),
									]

			return img


if __name__ == "__main__":
	# read original image
	__snake_case							:			Dict      		= {
	    percentage: imread("""image_data/lena.jpg""", 1) for percentage in (10, 20, 30, 40)
	}

	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()





from dataclasses import dataclass
from typing import Callable, Optional

import datasets



@dataclass
class 					A__(datasets.BuilderConfig       ):
						"""simple docstring"""






						_A						:							Optional[Callable]									= None
						_A						:							Optional[dict]									= None
						_A						:							Optional[datasets.Features]									= None





						def  UpperCamelCase__				(						self						)    ->   Tuple:
									assert self.generator is not None, "generator must be specified"

									if self.gen_kwargs is None:
												a_	:	Tuple          =   {}







class 					A__(datasets.GeneratorBasedBuilder       ):
						"""simple docstring"""






						_A						:							Dict									= GeneratorConfig





						def  UpperCamelCase__				(						self						)    ->   List[Any]:
									return datasets.DatasetInfo(features=self.config.features						)





						def  UpperCamelCase__				(						self     ,			_lowercase						)    ->   List[Any]:
									return [datasets.SplitGenerator(name=datasets.Split.TRAIN     ,			gen_kwargs=self.config.gen_kwargs						)]





						def  UpperCamelCase__				(						self     ,			**_lowercase						)    ->   Tuple:
									for idx, ex in enumerate(self.config.generator(**_lowercase						)						):
												yield idx, ex


