How to use the emcee.moves function in emcee

@pytest.mark.parametrize("metric", [None, IdentityMetric(3),
                                    IsotropicMetric(3),
                                    DiagonalMetric(np.ones(3)),
                                    DenseMetric(np.eye(3))])
@pytest.mark.parametrize("pool", [True, False])
@pytest.mark.parametrize("tune", [True, False])
@pytest.mark.parametrize("blobs", [True, False])
def test_normal_nuts(pool, metric, tune, blobs, **kwargs):
    if pool:
        kwargs["pool"] = Pool()
    if tune:
        move = moves.NoUTurnMove(ntune=300)
    else:
        move = moves.NoUTurnMove()
    kwargs["ndim"] = 3
    kwargs["check_acceptance"] = False
    kwargs["nsteps"] = 100
    kwargs["blobs"] = blobs
    _test_normal(move, **kwargs)
    if pool:
        kwargs["pool"].close()

@pytest.mark.parametrize("metric", [None, IdentityMetric(3),
                                    IsotropicMetric(3),
                                    DiagonalMetric(np.ones(3)),
                                    DenseMetric(np.eye(3))])
@pytest.mark.parametrize("pool", [True, False])
@pytest.mark.parametrize("tune", [True, False])
@pytest.mark.parametrize("blobs", [True, False])
def test_normal_nuts(pool, metric, tune, blobs, **kwargs):
    if pool:
        kwargs["pool"] = Pool()
    if tune:
        move = moves.NoUTurnMove(ntune=300)
    else:
        move = moves.NoUTurnMove()
    kwargs["ndim"] = 3
    kwargs["check_acceptance"] = False
    kwargs["nsteps"] = 100
    kwargs["blobs"] = blobs
    _test_normal(move, **kwargs)
    if pool:
        kwargs["pool"].close()

def test_normal_de_no_gamma(**kwargs):
    _test_normal(moves.DEMove(1e-2, 1e-2), **kwargs)

def test_normal_hmc(pool, metric, tune, blobs, **kwargs):
    if pool:
        kwargs["pool"] = Pool()
    if tune:
        move = moves.HamiltonianMove(10, ntune=300, parallel_safe=pool)
    else:
        move = moves.HamiltonianMove(10, parallel_safe=pool)
    kwargs["ndim"] = 3
    kwargs["check_acceptance"] = False
    kwargs["nsteps"] = 100
    kwargs["blobs"] = blobs
    _test_normal(move, **kwargs)
    if pool:
        kwargs["pool"].close()

def test_normal_de(**kwargs):
    _test_normal(moves.DEMove(1e-2), **kwargs)

def test_normal_hmc(pool, metric, tune, blobs, **kwargs):
    if pool:
        kwargs["pool"] = Pool()
    if tune:
        move = moves.HamiltonianMove(10, ntune=300, parallel_safe=pool)
    else:
        move = moves.HamiltonianMove(10, parallel_safe=pool)
    kwargs["ndim"] = 3
    kwargs["check_acceptance"] = False
    kwargs["nsteps"] = 100
    kwargs["blobs"] = blobs
    _test_normal(move, **kwargs)
    if pool:
        kwargs["pool"].close()