80cfb0e5f889c65a972ebde6c6dae4278b5e28c1,foolbox/attacks/base.py,MinimizationAttack,__call__,#MinimizationAttack#Any#Any#Any#,340

Before Change

        assert distances.shape == (N,)

        in_limits = ep.stack(
            [distances <= epsilon for epsilon in limit_epsilons], axis=0
        )
        assert in_limits.shape == (K, N)

        success = ep.logical_and(in_limits, is_adv)
        assert success.shape == (K, N)

        xp_ = restore_type(xp)

After Change

        // run the actual attack
        xp = self.run(model, x, criterion, early_stop=early_stop, **kwargs)

        xpcs = []
        success = []
        for epsilon in epsilons:
            if epsilon is None:
                xpc = xp

Instances