human
Here's a good function header given the following:
I wrote the below code

    assert hasattr(np, 'exp')
    n = 5
    num_samples = 1000
    tol = 0.042
    beta = (1 / tol)
    rows = None
    cols = None
    channels = None
    class DummyLayer(object, ):
        '\n                                A    layer    that    we    build    for    the    test    that    just    uses    a    state\n                                as    its    downward    message.\n                                '
        def downward_state(self, state):
            return state
        def downward_message(self, state):
            return state
    vis = GaussianVisLayer(nvis=n, init_beta=beta)
    hid = DummyLayer()
    rng = np.random.RandomState([2012, 11, 1, 259])
    mean = rng.uniform(1e-06, (1.0 - 1e-06), (n,))
    ofs = rng.randn(n)
    vis.set_biases(ofs.astype(config.floatX))
    z = (mean - ofs)
    z_var = sharedX((np.zeros((num_samples, n)) + z))
    theano_rng = MRG_RandomStreams(((2012 + 11) + 1))
    sample = vis.sample(state_above=z_var, layer_above=hid, theano_rng=theano_rng)
    sample = sample.eval()
    check_gaussian_samples(sample, num_samples, n, rows, cols, channels, mean, tol)

What's a good function header?
assistant
#Here's a good function header.

def test_gaussian_vis_layer_sample():