def test_add_good_dim(self):
from deephyper.benchmark.problem import HpProblem
pb = HpProblem()
pb.add_dim("dim0", (-10, 10))
pb.add_dim("dim1", (-10.0, 10.0))
pb.add_dim("dim2", [1, 2, 3, 4])
pb.add_dim("dim3", ["cat0", 1, "cat2", 2.0])
def test_add_starting_points_with_wrong_name(self):
from deephyper.benchmark.problem import HpProblem
pb = HpProblem()
pb.add_dim(p_name="dim0", p_space=(-10, 10))
with pytest.raises(ValueError):
pb.add_starting_point(dim1=0)
def test_add_starting_points_not_in_space_def(self):
from deephyper.benchmark.problem import HpProblem
pb = HpProblem()
pb.add_dim(p_name="dim0", p_space=(-10, 10))
pb.add_dim(p_name="dim1", p_space=(-10.0, 10.0))
pb.add_dim(p_name="dim2", p_space=["a", "b"])
with pytest.raises(ValueError):
pb.add_starting_point(dim0=-11, dim1=0.0, dim2="a")
with pytest.raises(ValueError):
pb.add_starting_point(dim0=11, dim1=0.0, dim2="a")
with pytest.raises(ValueError):
pb.add_starting_point(dim0=0, dim1=-11.0, dim2="a")
with pytest.raises(ValueError):
pb.add_starting_point(dim0=0, dim1=11.0, dim2="a")
with pytest.raises(ValueError):
pb.add_starting_point(dim0=0, dim1=0.0, dim2="c")
pb.add_starting_point(dim0=0, dim1=0.0, dim2="a")
def test_add_good_reference(self):
from deephyper.benchmark.problem import HpProblem
pb = HpProblem()
pb.add_dim(p_name="dim0", p_space=(-10, 10))
pb.add_starting_point(dim0=0)
def test_dim_with_wrong_name(self):
from deephyper.benchmark.problem import HpProblem
pb = HpProblem()
with pytest.raises(SpaceDimNameOfWrongType):
pb.add_dim(0, (-10, 10))
def test_kwargs(self):
from deephyper.benchmark.problem import HpProblem
pb = HpProblem()
pb.add_dim(p_name="dim0", p_space=(-10, 10))
def test_create(self):
from deephyper.benchmark.problem import HpProblem
pb = HpProblem()
def test_add_starting_points_not_in_space_def(self):
from deephyper.benchmark.problem import HpProblem
pb = HpProblem()
pb.add_dim(p_name='dim0', p_space=(-10, 10))
pb.add_dim(p_name='dim1', p_space=(-10.0, 10.0))
pb.add_dim(p_name='dim2', p_space=['a', 'b'])
with pytest.raises(SpaceDimValueNotInSpace):
pb.add_starting_point(dim0=-11, dim1=0.0, dim2='a')
with pytest.raises(SpaceDimValueNotInSpace):
pb.add_starting_point(dim0=11, dim1=0.0, dim2='a')
with pytest.raises(SpaceDimValueNotInSpace):
pb.add_starting_point(dim0=0, dim1=-11.0, dim2='a')
with pytest.raises(SpaceDimValueNotInSpace):
pb.add_starting_point(dim0=0, dim1=11.0, dim2='a')
with pytest.raises(SpaceDimValueNotInSpace):
pb.add_starting_point(dim0=0, dim1=0.0, dim2='c')
pb.add_starting_point(dim0=0, dim1=0.0, dim2='a')
def test_add_starting_points_with_wrong_name(self):
from deephyper.benchmark.problem import HpProblem
pb = HpProblem()
pb.add_dim(p_name='dim0', p_space=(-10, 10))
with pytest.raises(SpaceDimNameMismatch):
pb.add_starting_point(dim1=0)
def test_add_starting_points_with_too_many_dim(self):
from deephyper.benchmark.problem import HpProblem
pb = HpProblem()
pb.add_dim(p_name='dim0', p_space=(-10, 10))
with pytest.raises(SpaceNumDimMismatch):
pb.add_starting_point(dim0=0, dim1=2)
def test_add_good_dim(self):
from deephyper.benchmark.problem import HpProblem
pb = HpProblem()
pb.add_dim('dim0', (-10, 10))