fde4b1f40f02082b56e8af3c696b3f1b0cef7fa4,src/chaospy/orthogonal.py,,orth_chol,#Any#Any#Any#Any#Any#,265

Before Change

    L = chaospy.chol.gill_king(C)
    Li = numpy.linalg.inv(L.T).T
    if not normed:
        Li /= numpy.repeat(numpy.diag(Li), len(Li)).reshape(Li.shape)
    E_ = -numpy.sum(Li*chaospy.descriptives.E(basis, dist, **kws), -1)
    coefs = numpy.empty((N+1, N+1))
    coefs[1:,1:] = Li

After Change

    cholmat = chaospy.chol.gill_king(chaospy.descriptives.Cov(basis, dist))
    cholmat_inv = numpy.linalg.inv(cholmat.T).T
    if not normed:
        diag_mesh = numpy.repeat(numpy.diag(cholmat_inv), len(cholmat_inv))
        cholmat_inv /= diag_mesh.reshape(cholmat_inv.shape)

    coefs = numpy.empty((length+1, length+1))

    coefs[1:, 1:] = cholmat_inv

Instances