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()")