class LinearLearnerTimeTest(unittest.TestCase):
def setUp(self):
_ = mock.patch.object(LinearLearner, 'learn')
mock_learn = _.start()
self.addCleanup(_.stop)
_ = mock.patch.object(LinearLearner, 'learned_maximum_load', new_callable = mock.PropertyMock)
self.mock_max_load = _.start()
self.addCleanup(_.stop)
_ = mock.patch('pmort.learners.linear.os.getloadavg')
self.mock_load = _.start()
self.addCleanup(_.stop)
_ = mock.patch('pmort.learners.linear.PARAMETERS')
mock_parameters = _.start()
self.addCleanup(_.stop)
mock_parameters.__getitem__.side_effect = lambda _: {
'learner.minimum_interval': 1,
'learner.maximum_interval': 600,
}[_]
self.l = LinearLearner()
def test_linear_times(self):
'''Linear Times'''
loads = (
(0.0, 1.0, 600),
(0.5, 1.0, 300.5),
(1.0, 1.0, 1),
(1.0, 0.5, 1),
)
for load in loads:
self.mock_load.return_value = (load[0],)
self.mock_max_load.return_value = load[1]
self.assertEqual(load[2], self.l.time())
def setUp(self):
_ = mock.patch.object(LinearLearner, 'learn')
mock_learn = _.start()
self.addCleanup(_.stop)
_ = mock.patch.object(LinearLearner, 'learned_maximum_load', new_callable = mock.PropertyMock)
self.mock_max_load = _.start()
self.addCleanup(_.stop)
_ = mock.patch('pmort.learners.linear.os.getloadavg')
self.mock_load = _.start()
self.addCleanup(_.stop)
_ = mock.patch('pmort.learners.linear.PARAMETERS')
mock_parameters = _.start()
self.addCleanup(_.stop)
mock_parameters.__getitem__.side_effect = lambda _: {
'learner.minimum_interval': 1,
'learner.maximum_interval': 600,
}[_]
self.l = LinearLearner()