def test_posterior_implementations(tmp_path):
all_classes = inspect.getmembers(posterior, inspect.isclass)
classes = [c[1] for c in all_classes if isinstance(c[1](), proc.Procedure)]
for procedure_class in classes:
procedure = procedure_class()
experiment = exp.PosteriorSamplingExperiment(procedure, str(tmp_path))
experiment.run(func.Cosine(), finish_line=250)
shutil.rmtree(str(tmp_path))
def test_testfunction_cosine():
function = func.Cosine()
minima = [[-3 * np.pi], [-np.pi], [np.pi], [3 * np.pi]]
value_minima = 0
# Validate the default configuration
assert function.get_dimensionality() == 1
# Validate function properties
assert function.is_bounded() is True
assert function.is_differentiable() is True
# Validate minima
y = function(np.array(minima))
assert np.sum(1.0 * (np.around(y, 8) == value_minima)) == len(y)
# Validate that these minima are indeed minima
x = np.random.rand(10000, function.get_dimensionality())
x *= function.ranges[:, 1] - function.ranges[:, 0]
x += function.ranges[:, 0]
y = function(x)
assert np.sum(1.0 * (np.around(y, 8) == value_minima)) <= len(y)
# Validate output shape
assert y.shape == (10000, 1)
assert function(x, True).shape == (10000, function.get_dimensionality())