def test_bso_sigmoid():
new_bso = bso.BSO()
x = 0.5
y = new_bso._sigmoid(x)
assert y == 0.6224593312018546
def test_bso_clusterize():
search_space = search.SearchSpace(n_agents=10,
n_variables=2,
lower_bound=[0, 0],
upper_bound=[10, 10])
new_bso = bso.BSO()
new_bso._clusterize(search_space.agents)
def test_bso_update():
def square(x):
return np.sum(x**2)
search_space = search.SearchSpace(n_agents=50,
n_variables=2,
lower_bound=[0, 0],
upper_bound=[10, 10])
new_bso = bso.BSO()
new_bso.evaluate(search_space, square)
new_bso.update(search_space, square, 1, 10)
new_bso.p_replacement_cluster = 1
new_bso.update(search_space, square, 1, 10)
def test_bso_params():
params = {
"m": 5,
"p_replacement_cluster": 0.2,
"p_single_cluster": 0.8,
"p_single_best": 0.4,
"p_double_best": 0.5,
"k": 20,
}
new_bso = bso.BSO(params=params)
assert new_bso.m == 5
assert new_bso.p_replacement_cluster == 0.2
assert new_bso.p_single_cluster == 0.8
assert new_bso.p_single_best == 0.4
assert new_bso.p_double_best == 0.5
assert new_bso.k == 20
def test_bso_params_setter():
new_bso = bso.BSO()
try:
new_bso.m = "a"
except:
new_bso.m = 5
assert new_bso.m == 5
try:
new_bso.m = -1
except:
new_bso.m = 5
assert new_bso.m == 5
try:
new_bso.p_replacement_cluster = "b"
except:
new_bso.p_replacement_cluster = 0.2
assert new_bso.p_replacement_cluster == 0.2
try:
new_bso.p_replacement_cluster = -1
except:
new_bso.p_replacement_cluster = 0.2
assert new_bso.p_replacement_cluster == 0.2
try:
new_bso.p_single_cluster = "c"
except:
new_bso.p_single_cluster = 0.8
assert new_bso.p_single_cluster == 0.8
try:
new_bso.p_single_cluster = -1
except:
new_bso.p_single_cluster = 0.8
assert new_bso.p_single_cluster == 0.8
try:
new_bso.p_single_best = "d"
except:
new_bso.p_single_best = 0.4
assert new_bso.p_single_best == 0.4
try:
new_bso.p_single_best = -1
except:
new_bso.p_single_best = 0.4
assert new_bso.p_single_best == 0.4
try:
new_bso.p_double_best = "e"
except:
new_bso.p_double_best = 0.5
assert new_bso.p_double_best == 0.5
try:
new_bso.p_double_best = -1
except:
new_bso.p_double_best = 0.5
assert new_bso.p_double_best == 0.5
try:
new_bso.k = "f"
except:
new_bso.k = 20
assert new_bso.k == 20
try:
new_bso.k = -1
except:
new_bso.k = 20
assert new_bso.k == 20