# 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 				_snake_case     (       lowerCAmelCase							:       int     ):
		"""simple docstring"""







		SCREAMING_SNAKE_CASE_  :		Optional[int]    				=   Queue()
		SCREAMING_SNAKE_CASE_  :		Union[str, Any]    				=   [False] * len(lowerCAmelCase     )
		SCREAMING_SNAKE_CASE_  :		int    				=   [-1] * len(lowerCAmelCase     )

		def bfs():
				while not queue.empty():
						SCREAMING_SNAKE_CASE_  :		List[str]    				=   queue.get()
						SCREAMING_SNAKE_CASE_  :		Tuple    				=   True

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

								if color[neighbour] == -1:
										SCREAMING_SNAKE_CASE_  :		Union[str, Any]    				=   1 - color[u]
										queue.put(lowerCAmelCase     )

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

				return True

		for i in range(len(lowerCAmelCase     )     ):
				if not visited[i]:
						queue.put(lowerCAmelCase     )
						SCREAMING_SNAKE_CASE_  :		List[Any]    				=   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]}))

from ..utils import DummyObject, requires_backends






class 		a__						( metaclass=A__ ):
					A     	=							['tensorflow_text']

					def __init__(   self				:	List[str],*_A				:	Optional[Any],**_A				:	int   ):







							"""simple docstring"""






							requires_backends(self,["tensorflow_text"]   )
