





from PIL import Image





def      lowerCAmelCase_ (       __a		)     ->		Image:







  """simple docstring"""





  lowerCamelCase__  ,					lowerCamelCase__:      Tuple			  =image.size
  lowerCamelCase__:      Optional[Any]			  =0
  lowerCamelCase__:      List[str]			  =image.load()
  for i in range(__a		):
    for j in range(__a		):
      lowerCamelCase__:      Optional[Any]			  =pixels[j, i]
      mean += pixel
  mean //= width * height

  for j in range(__a		):
    for i in range(__a		):
      lowerCamelCase__:      int			  =255 if pixels[i, j] > mean else 0
  return image


if __name__ == "__main__":
     __A									=				mean_threshold(Image.open("path_to_image").convert("L"))
     image.save("output_image_path")








'''simple docstring'''




import random






def        _lowerCAmelCase			(  __snake_case  : int ,							__snake_case  : float ,							__snake_case  : bool = False			)     ->     dict:
     __A						: dict      =       {i: [] for i in range(__snake_case			)}

     # if probability is greater or equal than 1, then generate a complete graph
     if probability >= 1:
          return complete_graph(__snake_case			)
     # if probability is lower or equal than 0, then return a graph without edges
     if probability <= 0:
          return graph

     # for each couple of nodes, add an edge from u to v
     # if the number randomly generated is greater than probability probability
     for i in range(__snake_case			):
          for j in range(i + 1 ,							__snake_case			):
               if random.random() < probability:
                    graph[i].append(__snake_case			)
                    if not directed:
                         # if the graph is undirected, add an edge in from j to i, either
                         graph[j].append(__snake_case			)
     return graph






def        _lowerCAmelCase			(  __snake_case  : int			)     ->     dict:
     return {
         i: [j for j in range(__snake_case			) if i != j] for i in range(__snake_case			)
     }


if __name__ == "__main__":
  import doctest

  doctest.testmod()