def test_embedding():
model = NeuralNet((10, 4, 2), embed=((5, ), (0, 0)), rho=0.0, eta=0.005)
assert model.nr_in == 10
eg = Example(nr_class=model.nr_class, widths=model.widths)
eg.features = {(0, 1): 2.5}
model(eg)
assert eg.activation(0, 0) != 0
assert eg.activation(0, 1) != 0
assert eg.activation(0, 2) != 0
assert eg.activation(0, 3) != 0
assert eg.activation(0, 4) != 0
eg = Example(nr_class=model.nr_class, widths=model.widths)
eg.features = {(1, 1867): 0.5}
model(eg)
assert eg.activation(0, 0) == 0.0
assert eg.activation(0, 1) == 0.0
assert eg.activation(0, 2) == 0.0
assert eg.activation(0, 3) == 0.0
assert eg.activation(0, 4) == 0.0
assert eg.activation(0, 5) != 0.0
assert eg.activation(0, 6) != 0.0
assert eg.activation(0, 7) != 0.0
assert eg.activation(0, 8) != 0.0
assert eg.activation(0, 9) != 0.0
