
lowerCamelCase_						     =					{0: [2, 3], 1: [0], 2: [1], 3: [4], 4: []}

lowerCamelCase_						     =					{0: [1, 2, 3], 1: [2], 2: [0], 3: [4], 4: [5], 5: [3]}






def 						__magic_name__			(   __a      :	dict[int, list[int]]	,		__a      :	int	,		__a      :	list[bool]						):



     '''simple docstring'''




     UpperCamelCase__				=    True
     UpperCamelCase__				=    []

     for neighbour in graph[vert]:
          if not visited[neighbour]:
               order += topology_sort(__a	,		__a	,		__a						)

     order.append(__a						)

     return order






def 						__magic_name__			(   __a      :	dict[int, list[int]]	,		__a      :	int	,		__a      :	list[bool]						):



     '''simple docstring'''




     UpperCamelCase__				=    True
     UpperCamelCase__				=    [vert]

     for neighbour in reversed_graph[vert]:
          if not visited[neighbour]:
               component += find_components(__a	,		__a	,		__a						)

     return component






def 						__magic_name__			(   __a      :	dict[int, list[int]]						):



     '''simple docstring'''




     UpperCamelCase__				=    len(__a						) * [False]
     UpperCamelCase__				=    {vert: [] for vert in range(len(__a						)						)}

     for vert, neighbours in graph.items():
          for neighbour in neighbours:
               reversed_graph[neighbour].append(__a						)

     UpperCamelCase__				=    []
     for i, was_visited in enumerate(__a						):
          if not was_visited:
               order += topology_sort(__a	,		__a	,		__a						)

     UpperCamelCase__				=    []
     UpperCamelCase__				=    len(__a						) * [False]

     for i in range(len(__a						)						):
          UpperCamelCase__				=    order[len(__a						) - i - 1]
          if not visited[vert]:
               UpperCamelCase__				=    find_components(__a	,		__a	,		__a						)
               components_list.append(__a						)

     return components_list







from PIL import Image






def 						__magic_name__			(   __a      :	Image						):



     '''simple docstring'''




     UpperCamelCase__		,	UpperCamelCase__				=    image.size
     UpperCamelCase__				=    0
     UpperCamelCase__				=    image.load()
     for i in range(__a						):
          for j in range(__a						):
               UpperCamelCase__				=    pixels[j, i]
               mean += pixel
     mean //= width * height

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


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





