a1890b56835ef626b1a32edcaf28c1e2b10baa48,dit/algorithms/maxentropyfw.py,,isolate_zeros,#,67

Before Change

    nonzero = [i for i in range(n_elements) if i not in zeroset]
    variables = Bunch(nonzero=nonzero, zero=zero)

    return A, b, variables


def initial_point(dist, k, A=None, b=None, isolated=None, **kwargs):

After Change

    else:
        xopt = optvariables[1].value

    // Turn values close to zero to be exactly equal to zero.
    xopt = np.array(xopt)[:,0]
    xopt[np.abs(xopt) < tol] = 0
    xopt /= xopt.sum()

Instances