def test_h2o():
    import ase.calculators.demon as demon
    from ase import Atoms
    from ase.optimize import BFGS
    import numpy as np

    tol = 1.0e-6

    # d = 0.9575
    d = 0.9775
    # t = np.pi / 180 * 104.51
    t = np.pi / 180 * 110.51
    atoms = Atoms('H2O',
                  positions=[(d, 0, 0),
                             (d * np.cos(t), d * np.sin(t), 0),
                             (0, 0, 0)])

    # set up deMon calculator
    basis = {'all': 'aug-cc-pvdz',
             'O': 'RECP6|SD'}
    auxis = {'all': 'GEN-A2*'}
    input_arguments = {'GRID': 'FINE'}

    calc = demon.Demon(basis=basis,
                       auxis=auxis,
                       scftype='RKS TOL=1.0E-6 CDF=1.0E-5',
                       guess='TB',
                       xc=['BLYP', 'BASIS'],
                       input_arguments=input_arguments)

    atoms.calc = calc

    # energy
    energy = atoms.get_potential_energy()

    ref = -469.604737006
    print('energy')
    print(energy)
    error = np.sqrt(np.sum((energy - ref)**2))
    print('diff from reference:')
    print(error)

    tol = 1.0e-6
    assert(error < tol)

    # dipole
    dipole = atoms.get_dipole_moment()

    ref = np.array([0.19228183, 0.27726241, 0.0])
    error = np.sqrt(np.sum((dipole - ref)**2))
    print('dipole')
    print(dipole)
    print('diff from reference:')
    print(error)

    tol = 1.0e-4
    assert(error < tol)

    # numerical forces
    forces_num = calc.calculate_numerical_forces(atoms, d=0.001)

    ref = np.array([[-1.26056746e-01, 4.10007559e-01, 2.85719551e-04],
                    [4.28062314e-01, 2.56059142e-02, 2.17691110e-04],
                    [-3.02019173e-01, -4.35613473e-01, -5.03410632e-04]])

    error = np.sqrt(np.sum((forces_num - ref)**2))
    print('forces_num')
    print(forces_num)
    print('diff from reference:')
    print(error)

    tol = 1.0e-4
    assert(error < tol)

    # analytical forces
    forces_an = atoms.get_forces()

    ref = np.array([[-1.26446863e-01, 4.09628186e-01, -0.00000000e+00],
                    [4.27934442e-01, 2.50425467e-02, -5.14220671e-05],
                    [-2.99225008e-01, -4.31533987e-01, -5.14220671e-05]])

    error = np.sqrt(np.sum((forces_an - ref)**2))
    print('forces_an')
    print(forces_an)
    print('diff from reference:')
    print(error)

    tol = 1.0e-3
    assert(error < tol)

    # optimize geometry
    with BFGS(atoms) as dyn:
        dyn.run(fmax=0.01)

    positions = atoms.get_positions()

    ref = np.array([[9.61364579e-01, 2.81689367e-02, -1.58730770e-06],
                    [-3.10444398e-01, 9.10289261e-01, -5.66399075e-06],
                    [-1.56957763e-02, -2.26044053e-02, -2.34155615e-06]])

    error = np.sqrt(np.sum((positions - ref)**2))
    print('positions')
    print(positions)
    print('diff from reference:')
    print(error)

    tol = 1.0e-3
    assert(error < tol)

    print('tests passed')
