def test_mfo_update():
search_space = search.SearchSpace(n_agents=10,
n_variables=2,
lower_bound=[0, 0],
upper_bound=[10, 10])
new_mfo = mfo.MFO()
new_mfo.update(search_space, 1, 10)
def test_mfo_hyperparams_setter():
new_mfo = mfo.MFO()
try:
new_mfo.b = 'a'
except:
new_mfo.b = 1
try:
new_mfo.b = -1
except:
new_mfo.b = 1
assert new_mfo.b == 1
def test_mfo_params_setter():
new_mfo = mfo.MFO()
try:
new_mfo.b = "a"
except:
new_mfo.b = 1
try:
new_mfo.b = -1
except:
new_mfo.b = 1
assert new_mfo.b == 1
def test_mfo_run():
def square(x):
return np.sum(x**2)
def hook(optimizer, space, function):
return
new_function = function.Function(pointer=square)
new_mfo = mfo.MFO()
search_space = search.SearchSpace(n_agents=10,
n_iterations=100,
n_variables=2,
lower_bound=[0, 0],
upper_bound=[10, 10])
history = new_mfo.run(search_space, new_function, pre_evaluation=hook)
assert len(history.agents) > 0
assert len(history.best_agent) > 0
best_fitness = history.best_agent[-1][1]
assert best_fitness <= constants.TEST_EPSILON, 'The algorithm mfo failed to converge.'
def test_mfo_build():
new_mfo = mfo.MFO()
assert new_mfo.built == True
def test_mfo_hyperparams():
hyperparams = {'b': 1}
new_mfo = mfo.MFO(hyperparams=hyperparams)
assert new_mfo.b == 1
def test_mfo_params():
params = {"b": 1}
new_mfo = mfo.MFO(params=params)
assert new_mfo.b == 1