def test_a_heavily_biased_sample_of_100_out_of_1000_elements(self):
sample = ExponentiallyDecayingSample(1000, 0.01)
for i in xrange(100):
sample.update(i)
snapshot = sample.get_snapshot()
self.assertEqual(sample.size(), 100)
self.assertEqual(snapshot.size(), 100)
for i in snapshot.get_values():
self.assertTrue(i < 100 and i >= 0)
def test_a_heavily_biased_sample_of_100_out_of_1000_elements(self):
sample = ExponentiallyDecayingSample(1000, 0.01)
for i in xrange(100):
sample.update(i)
snapshot = sample.get_snapshot()
self.assertEqual(sample.size(), 100)
self.assertEqual(snapshot.size(), 100)
for i in snapshot.get_values():
self.assertTrue(i < 100 and i >= 0)
def test_a_sample_of_100_out_of_10_elements(self):
sample = ExponentiallyDecayingSample(100, 0.99)
for i in xrange(10):
sample.update(i)
snapshot = sample.get_snapshot()
self.assertEqual(sample.size(), 10)
self.assertEqual(snapshot.size(), 10)
self.assertAlmostEqual(snapshot.get_median(), 4.5)
for i in snapshot.get_values():
self.assertTrue(i < 10 and i >= 0)
def test_a_sample_of_100_out_of_10_elements(self):
sample = ExponentiallyDecayingSample(100, 0.99)
for i in xrange(10):
sample.update(i)
snapshot = sample.get_snapshot()
self.assertEqual(sample.size(), 10)
self.assertEqual(snapshot.size(), 10)
self.assertAlmostEqual(snapshot.get_median(), 4.5)
for i in snapshot.get_values():
self.assertTrue(i < 10 and i >= 0)
