Cv2.eigen function calculates wrong eigenvalues

Python
2

Note
Use cv::eigenNonSymmetric for calculation of real eigenvalues and eigenvectors of non-symmetric matrix.

>>> cv2.eigenNonSymmetric(mat)
(array([[ 6.],
       [-7.]], dtype=float32), array([[-0.24325, -0.97301],
       [-0.94868,  0.31623]], dtype=float32))

looks better. don’t ask me why eigen() doesn’t check for symmetry and reject, or why it has this restriction in the first place.