def test_moment(self):
# Returns 0.0 (1st central moment = 0.0).
v = metrics.moment([1,2,3,4,5], k=1)
self.assertEqual(v, 0.0)
# Returns 2.0 (2nd central moment = population variance).
v = metrics.moment([1,2,3,4,5], k=2)
self.assertEqual(v, 2.0)
def test_moment(self):
# Assert 0.0 (1st central moment = 0.0).
v = metrics.moment([1,2,3,4,5], n=1)
self.assertEqual(v, 0.0)
# Assert 2.0 (2nd central moment = population variance).
v = metrics.moment([1,2,3,4,5], n=2)
self.assertEqual(v, 2.0)
print("pattern.metrics.moment()")
def test_moment(self):
# Assert 0.0 (1st central moment = 0.0).
v = metrics.moment([1, 2, 3, 4, 5], n=1)
self.assertEqual(v, 0.0)
# Assert 2.0 (2nd central moment = population variance).
v = metrics.moment([1, 2, 3, 4, 5], n=2)
self.assertEqual(v, 2.0)
print("pattern.metrics.moment()")
