def test_nds_compile():
data_points = np.zeros((10, 3))
search_space = pareto.ParetoSpace(data_points)
new_nds = nds.NDS()
new_nds.compile(search_space)
try:
new_nds.count = 1
except:
new_nds.count = np.array([1])
assert new_nds.count == 1
try:
new_nds.set = 1
except:
new_nds.set = np.array([1])
assert new_nds.set == 1
try:
new_nds.status = 1
except:
new_nds.status = np.array([1])
assert new_nds.status == 1
def test_nds_update_2():
data_points = r.generate_uniform_random_number(size=(10, 3))
search_space = pareto.ParetoSpace(data_points)
new_nds = nds.NDS()
new_nds.compile(search_space)
new_nds.update(search_space)
def test_nds_update_1():
data_points = np.zeros((10, 3))
search_space = pareto.ParetoSpace(data_points)
new_nds = nds.NDS()
new_nds.compile(search_space)
new_nds.update(search_space)
def test_nds_params_setter():
new_nds = nds.NDS()
try:
new_nds.n_pareto_points = "a"
except:
new_nds.n_pareto_points = 0
assert new_nds.n_pareto_points == 0
try:
new_nds.n_pareto_points = -1
except:
new_nds.n_pareto_points = 0
assert new_nds.n_pareto_points == 0
def test_nds_params():
new_nds = nds.NDS()
assert new_nds.n_pareto_points == 0