

"""simple docstring"""

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






class  __a				:





       """simple docstring"""


       def __init__(      self ,				snake_case ,				snake_case      ):





        """simple docstring"""

        lowerCAmelCase__      :							Any    =							0
        # max greyscale value for #FFFFFF
        lowerCAmelCase__      :							Optional[Any]    =							int(self.get_greyscale(255 ,				255 ,				255      )      )

        if not self.min_threshold < threshold < self.max_threshold:
         lowerCAmelCase__      :							Tuple    =							F"""Factor value should be from 0 to {self.max_threshold}"""
         raise ValueError(snake_case      )

        lowerCAmelCase__      :							List[Any]    =							input_img
        lowerCAmelCase__      :							List[str]    =							threshold
        lowerCAmelCase__ ,	lowerCAmelCase__      :							List[Any]    =							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__      :							List[str]    =							[
            [0 for _ in range(self.height + 4      )] for __ in range(self.width + 1      )
        ]
        lowerCAmelCase__      :							Union[str, Any]    =							np.ones((self.width, self.height, 3) ,				np.uinta      ) * 255






       @classmethod
       def  SCREAMING_SNAKE_CASE_  (      cls ,				snake_case ,				snake_case ,				snake_case      ):





        """simple docstring"""

        return 0.114 * blue + 0.587 * green + 0.2_126 * red






       def  SCREAMING_SNAKE_CASE_  (      self      ):





        """simple docstring"""

        for y in range(self.height      ):
         for x in range(self.width      ):
          lowerCAmelCase__      :							List[Any]    =							int(self.get_greyscale(*self.input_img[y][x]      )      )
          if self.threshold > greyscale + self.error_table[y][x]:
           lowerCAmelCase__      :							List[str]    =							(0, 0, 0)
           lowerCAmelCase__      :							Tuple    =							greyscale + self.error_table[x][y]
          else:
           lowerCAmelCase__      :							int    =							(255, 255, 255)
           lowerCAmelCase__      :							Dict    =							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
    _UpperCamelCase		    =						[
        Burkes(imread("""image_data/lena.jpg""", 1), threshold)
        for threshold in (1, 1_2_6, 1_3_0, 1_4_0)
    ]

    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"""

# A Bipartite Graph is a graph whose vertices can be divided into two independent sets,
# U and V such that every edge (u, v) either connects a vertex from U to V or a vertex
# from V to U. In other words, for every edge (u, v), either u belongs to U and v to V,
# or u belongs to V and v to U. We can also say that there is no edge that connects
# vertices of same set.
from queue import Queue



def 			SCREAMING_SNAKE_CASE       (   lowercase__      ) ->	List[str]:
 lowerCAmelCase__      :							Tuple    =							Queue()
 lowerCAmelCase__      :							Optional[int]    =							[False] * len(lowercase__      )
 lowerCAmelCase__      :							Dict    =							[-1] * len(lowercase__      )

 def bfs():
  while not queue.empty():
   lowerCAmelCase__      :							Optional[Any]    =							queue.get()
   lowerCAmelCase__      :							Union[str, Any]    =							True

   for neighbour in graph[u]:
    if neighbour == u:
     return False

    if color[neighbour] == -1:
     lowerCAmelCase__      :							Any    =							1 - color[u]
     queue.put(lowercase__      )

    elif color[neighbour] == color[u]:
     return False

  return True

 for i in range(len(lowercase__      )      ):
  if not visited[i]:
   queue.put(lowercase__      )
   lowerCAmelCase__      :							int    =							0
   if bfs() is False:
    return False

 return True


if __name__ == "__main__":
    # Adjacency List of graph
    print(check_bipartite({0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2]}))






