def test_nnls_repr():
pytest.importorskip("scipy.optimize")
check_init_args(Nnls, ["weights"])
check_repr(Nnls(weights=True))
assert repr(Nnls(weights=True)) == "Nnls(weights=True)"
check_init_args(NnlsL2, ["weights", "reg"])
check_repr(NnlsL2(weights=True, reg=0.2))
assert repr(NnlsL2(weights=True, reg=0.2)) == "NnlsL2(weights=True, reg=0.2)"
check_init_args(NnlsL2nz, ["weights", "reg"])
check_repr(NnlsL2nz(weights=True, reg=0.2))
assert repr(NnlsL2nz(weights=True, reg=0.2)) == "NnlsL2nz(weights=True, reg=0.2)"
def test_non_compositional_solver_transform_error(Simulator):
pytest.importorskip("scipy")
with nengo.Network() as net:
a = nengo.Ensemble(10, 1)
b = nengo.Ensemble(10, 1)
nengo.Connection(a, b, solver=Nnls(weights=True),
transform=nengo.Convolution(
1, (1, 1), kernel_size=(1,), strides=(1,)))
# build error for non-compositional solver with non-dense transform
with pytest.raises(BuildError, match="Non-compositional solvers"):
with Simulator(net):
pass
