






# 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.



def  a__ (__lowercase							:str   )		-> List[str]:
				_A	:				int   =      [False] * len(__lowercase   )
				_A	:				Union[str, Any]   =      [-1] * len(__lowercase   )

				def dfs(__lowercase							:List[str]					,  __lowercase							:List[Any]   ):
								_A	:				Dict   =      True
								_A	:				str   =      c
								for u in graph[v]:
												if not visited[u]:
																dfs(__lowercase					,  1 - c   )

				for i in range(len(__lowercase   )   ):
								if not visited[i]:
												dfs(__lowercase					,  0   )

				for i in range(len(__lowercase   )   ):
								for j in graph[i]:
												if color[i] == color[j]:
																return False

				return True


# Adjacency list of graph
_UpperCamelCase			:	Union[str, Any]								={0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 4: []}






print(check_bipartite_dfs(graph))











from PIL import Image



def  a__ (__lowercase							:Image					,  __lowercase							:float   )		-> Image:

				def brightness(__lowercase							:int   ) -> 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(__lowercase   )


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



