def _cdf(self, x, c):
        output = np.zeros(x.shape, dtype=x.dtype)
        val = (1.0+c)/(1.0-c)
        c1 = x < pi
        c2 = 1-c1
        xp = extract(c1, x)
        xn = extract(c2, x)
        if np.any(xn):
            valn = extract(c2, np.ones_like(x)*val)
            xn = 2*pi - xn
            yn = tan(xn/2.0)
            on = 1.0-1.0/pi*arctan(valn*yn)
            place(output, c2, on)
        if np.any(xp):
            valp = extract(c1, np.ones_like(x)*val)
            yp = tan(2.0/xp)
            op = 1.0/pi*arctan(valp*yp)
            place(output, c1, op)
        return output
dataset/ETHPy150Open scipy/scipy/scipy/stats/_continuous_distns.py/wrapcauchy_gen._cdf/swapped operands of `/`