def test_subspace(backend):
space = Space(backend=backend)
space.normal('a', 1, 2, quantization=0.01)
subspace = space.subspace('b')
subspace.normal('a', 1, 2, quantization=0.01)
print(space.sample())
def test_normal(backend):
for discrete in [True, False]:
for log in [True, False]:
for q in [None, 0.01, 1]:
space = Space(backend=backend)
space.normal(f'a_{discrete}_{log}_{q}',
loc=1, scale=2,
discrete=discrete,
log=log,
quantization=q)
try:
print(space.sample())
except NotImplementedError:
assert backend == 'Orion' and log is True
def test_conditions_or():
space = Space('ConfigSpace')
a = space.normal('a', 1, 2, quantization=0.01)
b = space.normal('b', 1, 2, quantization=0.01)
b.enable_if(either(eq(a, 1), ne(a, 2)))
print(space.sample())
def test_conditions_and():
space = Space('ConfigSpace')
a = space.normal('a', 1, 2, quantization=0.01)
b = space.normal('b', 1, 2, quantization=0.01)
b.enable_if(both(gt(a, 1), lt(a, 2)))
print(space.sample())
def test_conditions_in():
space = Space('ConfigSpace')
a = space.normal('a', 1, 2, quantization=0.01)
b = space.normal('b', 1, 2, quantization=0.01)
b.enable_if(contains(a, [1, 1.5, 2]))
print(space.sample())
def test_conditions(condition):
space = Space('ConfigSpace')
a = space.normal('a', 1, 2, quantization=0.01)
b = space.normal('b', 1, 2, quantization=0.01)
b.enable_if(condition(a, 1.5))
print(space.sample())