def test_compute_pmin(self):

        # Uniform distribution
        m = np.ones([self.acquisition_func.Nb, 1])
        v = np.eye(self.acquisition_func.Nb)

        pmin = epmgp.joint_min(m, v)
        pmin = np.exp(pmin)

        uprob = 1. / self.acquisition_func.Nb

        assert pmin.shape[0] == self.acquisition_func.Nb
        assert np.any(pmin < (uprob + 0.03)) and np.any(pmin > uprob - 0.01)

        # Dirac delta
        m = np.ones([self.acquisition_func.Nb, 1]) * 1000
        m[0] = 1
        v = np.eye(self.acquisition_func.Nb)

        pmin = epmgp.joint_min(m, v)
        pmin = np.exp(pmin)
        uprob = self.acquisition_func.Nb / 1.
        assert pmin[0] == 1.0
        assert np.any(pmin[:1] > 1e-10)
dataset/ETHPy150Open automl/RoBO/robo/test/test_information_gain.py/InformationGainTestCase.test_compute_pmin/swapped operands of `/`