def test_okay(self, NeuralNet):
net = NeuralNet(
layers=[('input', Mock), ('mylayer', Mock)],
input_shape=(10, 10),
mylayer_hey='hey',
update_foo=1,
update_bar=2,
)
net._create_iter_funcs = lambda *args: (1, 2, 3)
net.initialize()
def test_okay(self, NeuralNet):
net = NeuralNet(
layers=[('input', Mock), ('mylayer', Mock)],
input_shape=(10, 10),
mylayer_hey='hey',
update_foo=1,
update_bar=2,
)
net._create_iter_funcs = lambda *args: (1, 2, 3)
net.initialize()
def test_unused(self, NeuralNet):
net = NeuralNet(
layers=[('input', Mock), ('mylayer', Mock)],
input_shape=(10, 10),
mylayer_hey='hey',
yourlayer_ho='ho',
update_foo=1,
update_bar=2,
)
net._create_iter_funcs = lambda *args: (1, 2, 3)
with pytest.raises(ValueError) as err:
net.initialize()
assert str(err.value) == 'Unused kwarg: yourlayer_ho'
def test_unused(self, NeuralNet):
net = NeuralNet(
layers=[('input', Mock), ('mylayer', Mock)],
input_shape=(10, 10),
mylayer_hey='hey',
yourlayer_ho='ho',
update_foo=1,
update_bar=2,
)
net._create_iter_funcs = lambda *args: (1, 2, 3)
with pytest.raises(ValueError) as err:
net.initialize()
assert str(err.value) == 'Unused kwarg: yourlayer_ho'
