e7eefe879b9e5b7a279d80588af59d08f21365a1,aletheialib/attacks.py,,difference,#Any#Any#,133

Before Change

        L.append(np.sign(smoothness(flip) - smoothness(g)))
    N = len(L)
    R = float(L.count(1))/N
    S = float(L.count(-1))/N
    return R-S
// }}}

After Change

    for g in groups(I, mask):
        flip = (g + cmask) ^ abs_mask - cmask
        result = np.sign(smoothness(flip) - smoothness(g))
        if result not in counts:
            counts[result] = 0
        counts[result] += 1
    N = sum(counts.values())
    R = float(counts[1])/N
    S = float(counts[-1])/N

Instances