SimonBlanke / Hyperactive

    for i in range(33):

        def ackley_function(para):

            x = para["x"]

            y = para["y"]

            loss1 = -20 * np.exp(-0.2 * np.sqrt(0.5 * (x * x + y * y)))

            loss2 = -np.exp(0.5 * (np.cos(2 * np.pi * x) + np.cos(2 * np.pi * y)))

            loss3 = np.exp(1)

            loss4 = 20

            loss = loss1 + loss2 + loss3 + loss4

            return -loss

        dim_size = np.arange(-6, 6, 0.01)

        super().__init__()

        self.A = A

    def _score(self, **params):

        x = params["x0"]

        y = params["x1"]

        loss1 = -self.A * np.exp(-0.2 * np.sqrt(0.5 * (x * x + y * y)))

        loss2 = -np.exp(0.5 * (np.cos(2 * np.pi * x) + np.cos(2 * np.pi * y)))

        loss3 = np.exp(1)

        loss4 = self.A

        return -(loss1 + loss2 + loss3 + loss4)