2 from scipy.sparse
import csc_matrix
7 rng = np.random.default_rng()
8 A = rng.random((dim, dim))
9 A = (A + A.T) * 0.5 + np.diag(10.0 + rng.random(dim))
13 llt = eigenpy.CholmodSimplicialLDLT(A)
15 assert llt.info() == eigenpy.ComputationInfo.Success
17 X = rng.random((dim, 20))