def main(path_old, path_new):
r1 = metrics.Stats()
r2 = metrics.Stats()
with open(path_old) as f:
for l in f:
r1.measure(float(l))
with open(path_new) as f:
for l in f:
r2.measure(float(l))
print_diff(Diff(r1.get(), r2.get()))
def test_stats_only_has_min_max_mean_with_1_value(self):
hist = metrics.Stats(size=4)
hist.measure(23.2)
result = hist.get()
self.assertIn('mean', result)
self.assertIn('min', result)
self.assertIn('max', result)
self.assertEqual(result['n'], 1)
def test_stats_has_min_max_mean_samples_and_stdev_with_1_value(self):
hist = metrics.Stats()
hist.measure(23.2)
result = hist.get()
self.assertEqual(result['mean'], 23.2)
self.assertEqual(result['min'], 23.2)
self.assertEqual(result['max'], 23.2)
self.assertEqual(result['samples'], [23.2])
self.assertEqual(result['stdev'], 0)
self.assertEqual(result['n'], 1)
def test_stats(self):
hist = metrics.Stats()
hist.measure(10.5)
hist.measure(38.1)
hist.measure(234.7)
hist.measure(50.2)
result = hist.get()
self.assertEqual(result['min'], 10.5)
self.assertEqual(result['max'], 234.7)
self.assertEqual(result['mean'], 83.375)
self.assertEqual(round(result['median'], 3), 44.150)
self.assertEqual(round(result['variance'], 3), 10453.476)
self.assertEqual(round(result['stdev'], 3), 102.242)
self.assertEqual(result['percentile']['50'], 38.1)
self.assertEqual(result['percentile']['75'], 50.2)
self.assertEqual(result['percentile']['99'], 234.7)
def test_n_is_number_of_iterations(self):
hist = metrics.Stats()
for i in range(10):
hist.measure(i)
self.assertEqual(hist.get()['n'], 10)
def test_stats_are_empty_without_values(self):
hist = metrics.Stats(metrics.All)
result = hist.get()
self.assertEqual(len(result), 1)
self.assertEqual(result['n'], 0)