def test_hs_run():
def square(x):
return np.sum(x**2)
def hook(optimizer, space, function):
return
new_function = function.Function(pointer=square)
hyperparams = {'HMCR': 0.7, 'PAR': 0.7, 'bw': 10.0}
new_hs = hs.HS(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_hs.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 hs failed to converge.'
def test_hs_hyperparams():
hyperparams = {'HMCR': 0.7, 'PAR': 0.7, 'bw': 10.0}
new_hs = hs.HS(hyperparams=hyperparams)
assert new_hs.HMCR == 0.7
assert new_hs.PAR == 0.7
assert new_hs.bw == 10.0
def test_hs_generate_new_harmony():
new_hs = hs.HS()
search_space = search.SearchSpace(n_agents=2, n_iterations=100,
n_variables=2, lower_bound=[0, 0],
upper_bound=[10, 10])
agent = new_hs._generate_new_harmony(
search_space.agents[0], search_space.lb, search_space.ub)
assert agent.fit > 0
def test_hs_hyperparams_setter():
new_hs = hs.HS()
new_hs.HMCR = 0.5
assert new_hs.HMCR == 0.5
new_hs.PAR = 0.5
assert new_hs.PAR == 0.5
new_hs.bw = 5
assert new_hs.bw == 5
def test_hs_hyperparams_setter():
new_hs = hs.HS()
try:
new_hs.HMCR = 'a'
except:
new_hs.HMCR = 0.5
try:
new_hs.HMCR = -1
except:
new_hs.HMCR = 0.5
assert new_hs.HMCR == 0.5
try:
new_hs.PAR = 'b'
except:
new_hs.PAR = 0.5
try:
new_hs.PAR = -1
except:
new_hs.PAR = 0.5
assert new_hs.PAR == 0.5
try:
new_hs.bw = 'c'
except:
new_hs.bw = 5
try:
new_hs.bw = -1
except:
new_hs.bw = 5
assert new_hs.bw == 5
assert new_hs.bw == 5
def test_hs_run():
def square(x):
return np.sum(x**2)
new_function = function.Function(pointer=square)
hyperparams = {
'HMCR': 0.7,
'PAR': 0.7,
'bw': 10
}
new_hs = hs.HS(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_hs.run(search_space, new_function)
assert len(history.agents) > 0
assert len(history.best_agent) > 0
def test_hs_build():
new_hs = hs.HS()
assert new_hs.built == True