



'''simple docstring'''


_lowerCamelCase	:       List[str]      	=	[
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]







def 				__lowerCamelCase				(   A__    ,						A__    ,						A__    ,						A__    )       ->	List[str]:






   """simple docstring"""
   # Return True if there is node that has not iterated.
   UpperCamelCase					=  [False] * len(A__    )
   UpperCamelCase					=  [s]
   UpperCamelCase					=  True

   while queue:
      UpperCamelCase					=  queue.pop(0    )
      for ind in range(len(graph[u]    )    ):
         if visited[ind] is False and graph[u][ind] > 0:
            queue.append(A__    )
            UpperCamelCase					=  True
            UpperCamelCase					=  u

   return visited[t]







def 				__lowerCamelCase				(   A__    ,						A__    ,						A__    )       ->	List[Any]:






   """simple docstring"""
   UpperCamelCase					=  [-1] * (len(A__    ))
   UpperCamelCase					=  0
   UpperCamelCase					=  []
   UpperCamelCase					=  [i[:] for i in graph]  # Record original cut, copy.
   while bfs(A__    ,						A__    ,						A__    ,						A__    ):
      UpperCamelCase					=  float('Inf'    )
      UpperCamelCase					=  sink

      while s != source:
         # Find the minimum value in select path
         UpperCamelCase					=  min(A__    ,						graph[parent[s]][s]    )
         UpperCamelCase					=  parent[s]

      max_flow += path_flow
      UpperCamelCase					=  sink

      while v != source:
         UpperCamelCase					=  parent[v]
         graph[u][v] -= path_flow
         graph[v][u] += path_flow
         UpperCamelCase					=  parent[v]

   for i in range(len(A__    )    ):
      for j in range(len(graph[0]    )    ):
         if graph[i][j] == 0 and temp[i][j] > 0:
            res.append((i, j)    )

   return res


if __name__ == "__main__":
   print(mincut(test_graph, source=0, sink=5))






'''simple docstring'''


from PIL import Image







def 				__lowerCamelCase				(   A__    ,						A__    )       ->	Image:






   """simple docstring"""

   def brightness(A__    ) -> float:
      return 128 + level + (c - 128)

   if not -255.0 <= level <= 255.0:
      raise ValueError('level must be between -255.0 (black) and 255.0 (white)'    )
   return img.point(A__    )


if __name__ == "__main__":
   # Load image
   with Image.open("image_data/lena.jpg") as img:
      # Change brightness to 100
      _lowerCamelCase	:       List[str]      	=	change_brightness(img, 100)
      brigt_img.save("image_data/lena_brightness.png", format="png")

