






"""simple docstring"""





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






class 					a						:






    def __init__(	self					:							List[Any]	,						__SCREAMING_SNAKE_CASE					:							Dict	,						__SCREAMING_SNAKE_CASE					:							int )					->		Optional[Any]:
      lowerCamelCase_   					=						0
      # max greyscale value for #FFFFFF
      lowerCamelCase_   					=						int(self.get_greyscale(255	,						255	,						255 ) )

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

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






    @classmethod
    def        UpperCamelCase	(	cls					:							Dict	,						__SCREAMING_SNAKE_CASE					:							int	,						__SCREAMING_SNAKE_CASE					:							int	,						__SCREAMING_SNAKE_CASE					:							int )					->		float:
      return 0.114 * blue + 0.587 * green + 0.2_126 * red






    def        UpperCamelCase	(	self					:							Dict )					->		None:
      for y in range(self.height ):
        for x in range(self.width ):
          lowerCamelCase_   					=						int(self.get_greyscale(*self.input_img[y][x] ) )
          if self.threshold > greyscale + self.error_table[y][x]:
            lowerCamelCase_   					=						(0, 0, 0)
            lowerCamelCase_   					=						greyscale + self.error_table[x][y]
          else:
            lowerCamelCase_   					=						(255, 255, 255)
            lowerCamelCase_   					=						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 :    int    =						[
      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"""





from __future__ import annotations







def 					lowerCamelCase__	(							_lowerCamelCase	:		list[int]		,    _lowerCamelCase	:		int			)				->    int:
  lowerCamelCase_					,     lowerCamelCase_   					=						0, len(_lowerCamelCase			) - 1
  while start_ind <= end_ind:
    if array[start_ind] == search_item:
      return start_ind
    elif array[end_ind] == search_item:
      return end_ind
    else:
      start_ind += 1
      end_ind -= 1
    # returns -1 if search_item is not found in array
  return -1


if __name__ == "__main__":
  print(double_linear_search(list(range(100)), 40))




