def test_initialize_x0_with_unsupported_distribution() -> None:
with pytest.raises(NotImplementedError):
_initialize_x0({"x": UnsupportedDistribution()})
with pytest.raises(NotImplementedError):
_initialize_x0_randomly(np.random.RandomState(1),
{"x": UnsupportedDistribution()})
def test_init_with_unsupported_distribution():
# type: () -> None
with pytest.raises(NotImplementedError):
optuna.integration.cma._Optimizer(
{"x": UnsupportedDistribution()}, {"x": 0}, 0.2, None, {}
)
def test_initialize_sigma0_with_unsupported_distribution():
# type: () -> None
with pytest.raises(NotImplementedError):
optuna.integration.CmaEsSampler._initialize_sigma0(
{'x': UnsupportedDistribution()})
def test_initialize_sigma0_with_unsupported_distribution() -> None:
with pytest.raises(NotImplementedError):
_initialize_sigma0({"x": UnsupportedDistribution()})
def test_initialize_sigma0_with_unsupported_distribution() -> None:
with pytest.raises(NotImplementedError):
optuna.integration.PyCmaSampler._initialize_sigma0(
{"x": UnsupportedDistribution()})
def test_initialize_sigma0_with_unsupported_distribution(self) -> None:
with self.assertRaises(NotImplementedError):
cmaes_sampler._initialize_sigma0({"x": UnsupportedDistribution()})
