def _cmd_sleep(self, sleep_streak, quarantined):
out = {
'cmd': 'sleep',
'duration': task_scheduler.exponential_backoff(sleep_streak),
'quarantined': quarantined,
}
self.send_response(out)
def _cmd_sleep(self, sleep_streak, quarantined):
out = {
'cmd': 'sleep',
'duration': task_scheduler.exponential_backoff(sleep_streak),
'quarantined': quarantined,
}
self.send_response(out)
def _cmd_sleep(self, sleep_streak, quarantined):
duration = task_scheduler.exponential_backoff(sleep_streak)
logging.debug('Sleep: streak: %d; duration: %ds; quarantined: %s',
sleep_streak, duration, quarantined)
out = {
'cmd': 'sleep',
'duration': duration,
'quarantined': quarantined,
}
self.send_response(out)
def test_exponential_backoff(self):
self.mock(task_scheduler.random, 'random',
lambda: task_scheduler._PROBABILITY_OF_QUICK_COMEBACK)
self.mock(utils, 'is_canary', lambda: False)
data = [
(0, 2),
(1, 2),
(2, 3),
(3, 5),
(4, 8),
(5, 11),
(6, 17),
(7, 26),
(8, 38),
(9, 58),
(10, 60),
(11, 60),
]
for value, expected in data:
actual = int(round(task_scheduler.exponential_backoff(value)))
self.assertEqual(expected, actual, (value, expected, actual))
def test_exponential_backoff(self):
self.mock(
task_scheduler.random, 'random',
lambda: task_scheduler._PROBABILITY_OF_QUICK_COMEBACK)
self.mock(utils, 'is_canary', lambda: False)
data = [
(0, 2),
(1, 2),
(2, 3),
(3, 5),
(4, 8),
(5, 11),
(6, 17),
(7, 26),
(8, 38),
(9, 58),
(10, 60),
(11, 60),
]
for value, expected in data:
actual = int(round(task_scheduler.exponential_backoff(value)))
self.assertEqual(expected, actual, (value, expected, actual))
def test_exponential_backoff_quick(self):
self.mock(
task_scheduler.random, 'random',
lambda: task_scheduler._PROBABILITY_OF_QUICK_COMEBACK - 0.01)
self.assertEqual(1.0, task_scheduler.exponential_backoff(235))
def _cmd_sleep(self, sleep_streak, quarantined):
out = {"cmd": "sleep", "duration": task_scheduler.exponential_backoff(sleep_streak), "quarantined": quarantined}
self.send_response(out)
def test_exponential_backoff_quick(self):
self.mock(task_scheduler.random, 'random',
lambda: task_scheduler._PROBABILITY_OF_QUICK_COMEBACK - 0.01)
self.assertEqual(1.0, task_scheduler.exponential_backoff(235))
