



import os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

A__       =			[(1,)]


def 						_UpperCAmelCase							( ):





					"""simple docstring"""

					_lowerCAmelCase         =       bool(os.getenv("""RUN_SLOW"""      ,		0     )     )
					if run_slow:
										assert True
					else:
										assert False, "should have been skipped"


def 						_UpperCAmelCase							( ):





					"""simple docstring"""

					_lowerCAmelCase         =       bool(os.getenv("""RUN_SLOW"""      ,		0     )     )
					if run_slow and torch_device == "cuda":
										assert True
					else:
										assert False, "should have been skipped"





@require_torch
class    __lowerCAmelCase					(	unittest.TestCase			):




				@slow
				@require_torch_gpu
				def 				snake_case  (				self						):



									"""simple docstring"""





									check_slow_torch_cuda()




				@require_torch_gpu
				@slow
				def 				snake_case  (				self						):



									"""simple docstring"""





									check_slow_torch_cuda()




				@parameterized.expand(_snake_case						)
				@slow
				def 				snake_case  (				self		,							_snake_case=None						):



									"""simple docstring"""





									check_slow()


@slow
@require_torch_gpu
def 						_UpperCAmelCase							( ):





					"""simple docstring"""

					check_slow_torch_cuda()


@require_torch_gpu
@slow
def 						_UpperCAmelCase							( ):





					"""simple docstring"""

					check_slow_torch_cuda()


@slow
@pytest.mark.parametrize("""param"""      ,		[1]     )
def 						_UpperCAmelCase							( snake_case     ):





					"""simple docstring"""

					check_slow()


@pytest.mark.parametrize("""param"""      ,		[1]     )
@slow
def 						_UpperCAmelCase							( snake_case     ):





					"""simple docstring"""

					check_slow()








# 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 						_UpperCAmelCase							( snake_case     ):





					"""simple docstring"""

					_lowerCAmelCase         =       Queue()
					_lowerCAmelCase         =       [False] * len(snake_case     )
					_lowerCAmelCase         =       [-1] * len(snake_case     )

					def bfs():
										while not queue.empty():
															_lowerCAmelCase         =       queue.get()
															_lowerCAmelCase         =       True

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

																				if color[neighbour] == -1:
																									_lowerCAmelCase         =       1 - color[u]
																									queue.put(snake_case     )

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

										return True

					for i in range(len(snake_case     )     ):
										if not visited[i]:
															queue.put(snake_case     )
															_lowerCAmelCase         =       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]}))



