def compute():
MIN = 50
MAX =5000
step = 500
repetitions = 100
adjMatrix = []
alg = None
network = None
tempCommSum = 0
commTimes = []
tempAlgSum = 0
algTimes = []
for n in range(MIN, MAX, step):
tempCommSum = 0
tempAlgSum = 0
for k in range(repetitions):
adjMatrix = getPlanarGraph(n)
network = Network(adjMatrix)
alg = FastMIS(network)
alg.execute()
print k
tempAlgSum += alg.roundCounter
tempCommSum += network.algCommRoundCounter
print n, 'time: ', datetime.now()
commTimes.append(tempCommSum/float(repetitions))
algTimes.append(tempAlgSum/float(repetitions))
fileName = '/home/julka/100_reps/fast_MIS_planar_graph_comm.txt'
save(commTimes, fileName)
fileName = '/home/julka/100_reps/fast_MIS_planar_graph_alg.txt'
save(algTimes, fileName)
def test_execute(self):
adjacencyMatrix = getUnitDiskGraph(200)
network = Network(adjacencyMatrix)
alg = FastMIS(network)
alg.execute()
# self.drawGraph(network.ndList, adjacencyMatrix)
# sprawdzenie wlasnosci wyliczonego MIS
self.checkIfMISisCorrect(network.ndList)
# graf Yao
adjacencyMatrix = getYaoGraph(15, 6)
network = Network(adjacencyMatrix)
alg = FastMIS(network)
alg.execute()
self.drawGraph(network.ndList, adjacencyMatrix)
# sprawdzenie wlasnosci wyliczonego MIS
self.checkIfMISisCorrect(network.ndList)
# graf planarny
adjacencyMatrix = getPlanarGraph(10)
network = Network(adjacencyMatrix)
alg = FastMIS(network)
alg.execute()
self.drawGraph(network.ndList, adjacencyMatrix)
# sprawdzenie wlasnosci wyliczonego MIS
self.checkIfMISisCorrect(network.ndList)
