def test_ba_run():
def square(x):
return np.sum(x**2)
def hook(optimizer, space, function):
return
new_function = function.Function(pointer=square)
hyperparams = {'f_min': 0, 'f_max': 2, 'A': 1, 'r': 0.5}
new_ba = ba.BA(hyperparams=hyperparams)
search_space = search.SearchSpace(n_agents=10,
n_iterations=100,
n_variables=2,
lower_bound=[0, 0],
upper_bound=[10, 10])
history = new_ba.run(search_space, new_function, pre_evaluation_hook=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 ba failed to converge.'
def test_ba_hyperparams_setter():
new_ba = ba.BA()
try:
new_ba.f_min = 'a'
except:
new_ba.f_min = 0.1
try:
new_ba.f_min = -1
except:
new_ba.f_min = 0.1
assert new_ba.f_min == 0.1
try:
new_ba.f_max = 'b'
except:
new_ba.f_max = 2
try:
new_ba.f_max = -1
except:
new_ba.f_max = 2
try:
new_ba.f_max = 0
except:
new_ba.f_max = 2
assert new_ba.f_max == 2
try:
new_ba.A = 'c'
except:
new_ba.A = 0.5
try:
new_ba.A = -1
except:
new_ba.A = 0.5
assert new_ba.A == 0.5
try:
new_ba.r = 'd'
except:
new_ba.r = 0.5
try:
new_ba.r = -1
except:
new_ba.r = 0.5
assert new_ba.r == 0.5
def test_ba_hyperparams():
hyperparams = {'f_min': 0, 'f_max': 2, 'A': 0.5, 'r': 0.5}
new_ba = ba.BA(hyperparams=hyperparams)
assert new_ba.f_min == 0
assert new_ba.f_max == 2
assert new_ba.A == 0.5
assert new_ba.r == 0.5
def test_ba_hyperparams_setter():
new_ba = ba.BA()
new_ba.f_min = 0
assert new_ba.f_min == 0
new_ba.f_max = 2
assert new_ba.f_max == 2
new_ba.A = 0.5
assert new_ba.A == 0.5
new_ba.r = 0.5
assert new_ba.r == 0.5
def test_ba_run():
def square(x):
return np.sum(x**2)
new_function = function.Function(pointer=square)
hyperparams = {'f_min': 0, 'f_max': 2, 'A': 1, 'r': 0.5}
new_ba = ba.BA(hyperparams=hyperparams)
search_space = search.SearchSpace(n_agents=2,
n_iterations=100,
n_variables=2,
lower_bound=[0, 0],
upper_bound=[10, 10])
history = new_ba.run(search_space, new_function)
assert len(history.agents) > 0
assert len(history.best_agent) > 0
def test_ba_update_velocity():
new_ba = ba.BA()
velocity = new_ba._update_velocity(1, 1, 1, 1)
assert velocity != 0
def test_ba_update_frequency():
new_ba = ba.BA()
frequency = new_ba._update_frequency(0, 2)
assert frequency != 0
def test_ba_build():
new_ba = ba.BA()
assert new_ba.built == True
def test_ba_update_position():
new_ba = ba.BA()
position = new_ba._update_position(1, 1)
assert position == 2