def test_appendleft_with_zero(self):
stats = _stat()
data = list(range(0, 5))
for i in data[::-1]:
stats.appendleft(i)
for i, j in enumerate(stats):
self.assertEqual(data[i], j)
def test_median(self):
stats = _stat()
data = list(range(1, 11))
for i in data:
stats.appendleft(float(i))
self.assertAlmostEqual(stats.median(), 4.52872868811)
stats.appendleft(1000)
self.assertAlmostEqual(stats.median(), 9.03600168611)
def test_mode(self):
stats = _stat()
data = list(range(1, 11))
for i in data:
stats.appendleft(float(i))
self.assertAlmostEqual(stats.mode(), 2.79225543353)
stats.appendleft(1000)
self.assertAlmostEqual(stats.mode(), 0.61252803911)
def test_std(self):
stats = _stat()
data = list(range(1, 11))
for i in data:
stats.appendleft(float(i))
self.assertAlmostEqual(stats.std(), 0.695407498476473)
stats.appendleft(1000)
self.assertAlmostEqual(stats.std(), 1.640541783885151)
def test_mean(self):
stats = _stat()
data = list(range(1, 11))
for i in data:
stats.appendleft(float(i))
self.assertAlmostEqual(stats.mean(), 1.51044125730)
stats.appendleft(1000)
self.assertAlmostEqual(stats.mean(), 2.20121678520)
def test_maxlen(self):
stats = _stat()
data = list(range(1, 15))
for i in data[::-1]:
stats.appendleft(i)
for i, j in enumerate(stats):
self.assertEqual(data[i], j)
self.assertEqual(len(stats), 10)
