def test_round_trip_estimator_update_once(self):
# Test that .update() updates RTO, SRTT, and RTTVAR as expected
rte = RoundTripEstimator()
rte.update(5.0)
# New RTO is calcualted useing the newley updated _SRTT and _RTTVAR
self.assertEqual(rte.RTO, 15)
self.assertEqual(rte._SRTT, 5.0)
self.assertEqual(rte._RTTVAR, 2.5)
rte.update(5.0)
self.assertNotEqual(rte.RTO, 15)
self.assertEqual(rte._SRTT, 5.0)
self.assertNotEqual(rte._RTTVAR, 2.5)
def test_round_trip_estimator_update_once(self):
# Test that .update() updates RTO, SRTT, and RTTVAR as expected
rte = RoundTripEstimator()
rte.update(5.0)
# New RTO is calcualted useing the newley updated _SRTT and _RTTVAR
self.assertEquals(rte.RTO, 15)
self.assertEquals(rte._SRTT, 5.0)
self.assertEquals(rte._RTTVAR, 2.5)
rte.update(5.0)
self.assertNotEquals(rte.RTO, 15)
self.assertEquals(rte._SRTT, 5.0)
self.assertNotEquals(rte._RTTVAR, 2.5)
def test_round_trip_estimator_update_multiple(self):
# Test that RTP converges on correct number if it is consistent
rte = RoundTripEstimator()
self.assertEqual(rte.RTO, 1.0)
self.assertEqual(rte._SRTT, 0.0)
self.assertEqual(rte._RTTVAR, 0.0)
for i in range(100):
rte.update(5.0)
# Converges on 5 + MinResolution
self.assertEqual(rte.RTO, 5.025)
for i in range(100):
rte.update(64.0)
# Should not excede MaximumRTO ~ 60
self.assertEqual(rte.RTO, rte.MaximumRTO)
def test_round_trip_estimator_update_multiple(self):
# Test that RTP converges on correct number if it is consistent
rte = RoundTripEstimator()
self.assertEquals(rte.RTO, 1.0)
self.assertEquals(rte._SRTT, 0.0)
self.assertEquals(rte._RTTVAR, 0.0)
for i in range(100):
rte.update(5.0)
# Converges on 5 + MinResolution
self.assertEquals(rte.RTO, 5.025)
for i in range(100):
rte.update(64.0)
# Should not excede MaximumRTO ~ 60
self.assertEquals(rte.RTO, rte.MaximumRTO)