





'''simple docstring'''

import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey


class       a_  :

    '''simple docstring'''


    def __init__(	self				,	A				,	A )	->     Optional[int]:
        _SCREAMING_SNAKE_CASE             =    0
        # max greyscale value for #FFFFFF
        _SCREAMING_SNAKE_CASE             =    int(self.get_greyscale(255				,	255				,	255 ) )

        if not self.min_threshold < threshold < self.max_threshold:
            _SCREAMING_SNAKE_CASE             =    f'Factor value should be from 0 to {self.max_threshold}'
            raise ValueError(A )

        _SCREAMING_SNAKE_CASE             =    input_img
        _SCREAMING_SNAKE_CASE             =    threshold
        _SCREAMING_SNAKE_CASE       , _SCREAMING_SNAKE_CASE             =    self.input_img.shape[1], self.input_img.shape[0]

        # error table size (+4 columns and +1 row) greater than input image because of
        # lack of if statements
        _SCREAMING_SNAKE_CASE             =    [
            [0 for _ in range(self.height + 4 )] for __ in range(self.width + 1 )
        ]
        _SCREAMING_SNAKE_CASE             =    np.ones((self.width, self.height, 3)				,	np.uinta ) * 255


    @classmethod
    def     snake_case_(	cls				,	A				,	A				,	A )	->     float:
        return 0.114 * blue + 0.587 * green + 0.2126 * red





    def     snake_case_(	self )	->     None:
        for y in range(self.height ):
            for x in range(self.width ):
                _SCREAMING_SNAKE_CASE             =    int(self.get_greyscale(*self.input_img[y][x] ) )
                if self.threshold > greyscale + self.error_table[y][x]:
                    _SCREAMING_SNAKE_CASE             =    (0, 0, 0)
                    _SCREAMING_SNAKE_CASE             =    greyscale + self.error_table[x][y]
                else:
                    _SCREAMING_SNAKE_CASE             =    (255, 255, 255)
                    _SCREAMING_SNAKE_CASE             =    greyscale + self.error_table[x][y] - 255
                self.error_table[y][x + 1] += int(8 / 32 * current_error )
                self.error_table[y][x + 2] += int(4 / 32 * current_error )
                self.error_table[y + 1][x] += int(8 / 32 * current_error )
                self.error_table[y + 1][x + 1] += int(4 / 32 * current_error )
                self.error_table[y + 1][x + 2] += int(2 / 32 * current_error )
                self.error_table[y + 1][x - 1] += int(4 / 32 * current_error )
                self.error_table[y + 1][x - 2] += int(2 / 32 * current_error )


if __name__ == "__main__":
      # create Burke's instances with original images in greyscale
      lowercase_			       =				[
          Burkes(imread("""image_data/lena.jpg""", 1), threshold)
          for threshold in (1, 126, 130, 140)
      ]

      for burkes in burkes_instances:
            burkes.process()

      for burkes in burkes_instances:
            imshow(
                f"""Original image with dithering threshold: {burkes.threshold}""",
                burkes.output_img,
            )

      waitKey(0)
      destroyAllWindows()










'''simple docstring'''

import safs


class       a_  (       safs.SaFileSystem ):

    '''simple docstring'''



