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

class 	_SCREAMING_SNAKE_CASE							:






  """simple docstring"""







  def __init__(			self    :				int  ,					__SCREAMING_SNAKE_CASE    :				List[Any]  ,					__SCREAMING_SNAKE_CASE    :				int   ):






     """simple docstring"""
     _snake_case              =      0
     # max greyscale value for #FFFFFF
     _snake_case              =      int(self.get_greyscale(255  ,					255  ,					255   )   )

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

     _snake_case              =      input_img
     _snake_case              =      threshold
     _snake_case       , _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
     _snake_case              =      [
         [0 for _ in range(self.height + 4   )] for __ in range(self.width + 1   )
     ]
     _snake_case              =      np.ones((self.width, self.height, 3)  ,					np.uinta   ) * 255



  @classmethod
  def 				_a				(			cls    :				Optional[int]  ,					__SCREAMING_SNAKE_CASE    :				int  ,					__SCREAMING_SNAKE_CASE    :				int  ,					__SCREAMING_SNAKE_CASE    :				int   ):






     """simple docstring"""
     return 0.1_1_4 * blue + 0.5_8_7 * green + 0.2_1_2_6 * red







  def 				_a				(			self    :				Union[str, Any]   ):






     """simple docstring"""
     for y in range(self.height   ):
        for x in range(self.width   ):
           _snake_case              =      int(self.get_greyscale(*self.input_img[y][x]   )   )
           if self.threshold > greyscale + self.error_table[y][x]:
              _snake_case              =      (0, 0, 0)
              _snake_case              =      greyscale + self.error_table[x][y]
           else:
              _snake_case              =      (255, 255, 255)
              _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
   _SCREAMING_SNAKE_CASE:						Tuple    	=       [
       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()


from math import gcd






def    UpperCAmelCase__(						lowerCamelCase_ = 12000  ):



			"""simple docstring"""





			_snake_case              =      0
			for d in range(max_d + 1  ):
						for n in range(d // 3 + 1							,	(d + 1) // 2  ):
									if gcd(lowerCamelCase_							,	lowerCamelCase_  ) == 1:
												fractions_number += 1
			return fractions_number


if __name__ == "__main__":
			print(F"{solution() = }")

