def tanm(A):
A = _asarray_square(A)<EOL>return _maybe_real(A, solve(cosm(A), sinm(A)))<EOL>
Compute the matrix tangent.

This routine uses expm to compute the matrix exponentials.

Parameters
----------
A : (N, N) array_like
    Input array.

Returns
-------
tanm : (N, N) ndarray
    Matrix tangent of `A`

Examples
--------
>>> from scipy.linalg import tanm, sinm, cosm
>>> a = np.array([[1.0, 3.0], [1.0, 4.0]])
>>> t = tanm(a)
>>> t
array([[ -2.00876993,  -8.41880636],
       [ -2.80626879, -10.42757629]])

Verify tanm(a) = sinm(a).dot(inv(cosm(a)))

>>> s = sinm(a)
>>> c = cosm(a)
>>> s.dot(np.linalg.inv(c))
array([[ -2.00876993,  -8.41880636],
       [ -2.80626879, -10.42757629]])