def test_sghs_compile():
search_space = search.SearchSpace(
n_agents=2, n_variables=2, lower_bound=[0, 0], upper_bound=[10, 10]
)
new_sghs = hs.SGHS()
new_sghs.compile(search_space)
try:
new_sghs.lp = "a"
except:
new_sghs.lp = 1
assert new_sghs.lp == 1
try:
new_sghs.lp = -1
except:
new_sghs.lp = 1
assert new_sghs.lp == 1
try:
new_sghs.HMCR_history = "a"
except:
new_sghs.HMCR_history = []
assert new_sghs.HMCR_history == []
try:
new_sghs.PAR_history = "a"
except:
new_sghs.PAR_history = []
assert new_sghs.PAR_history == []
def test_sghs_params():
params = {"LP": 100, "HMCRm": 0.98, "PARm": 0.9, "bw_min": 1, "bw_max": 10}
new_sghs = hs.SGHS(params=params)
assert new_sghs.LP == 100
assert new_sghs.HMCRm == 0.98
assert new_sghs.PARm == 0.9
assert new_sghs.bw_min == 1
assert new_sghs.bw_max == 10
def test_sghs_generate_new_harmony():
search_space = search.SearchSpace(n_agents=2, n_variables=2,
lower_bound=[0, 0], upper_bound=[10, 10])
new_sghs = hs.SGHS()
new_sghs.compile(search_space)
agent = new_sghs._generate_new_harmony(search_space.agents)
assert agent.fit > 0
new_sghs.HMCR = 0
agent = new_sghs._generate_new_harmony(search_space.agents)
assert agent.fit > 0
def test_sghs_update():
def square(x):
return np.sum(x**2)
search_space = search.SearchSpace(n_agents=2, n_variables=2,
lower_bound=[0, 0], upper_bound=[10, 10])
new_sghs = hs.SGHS()
new_sghs.compile(search_space)
new_sghs.update(search_space, square, 1, 10)
new_sghs.update(search_space, square, 6, 10)
new_sghs.lp = 1
new_sghs.LP = 1
new_sghs.update(search_space, square, 1, 10)
def test_sghs_params():
params = {
'LP': 100,
'HMCRm': 0.98,
'PARm': 0.9,
'bw_min': 1,
'bw_max': 10
}
new_sghs = hs.SGHS(params=params)
assert new_sghs.LP == 100
assert new_sghs.HMCRm == 0.98
assert new_sghs.PARm == 0.9
assert new_sghs.bw_min == 1
assert new_sghs.bw_max == 10
def test_sghs_run():
def square(x):
return np.sum(x**2)
def hook(optimizer, space, function):
return
new_function = function.Function(pointer=square)
new_sghs = hs.SGHS(hyperparams={'LP': 10})
search_space = search.SearchSpace(n_agents=20, n_iterations=50,
n_variables=2, lower_bound=[0, 0],
upper_bound=[5, 5])
history = new_sghs.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 ihs failed to converge.'
def test_sghs_params_setter():
new_sghs = hs.SGHS()
try:
new_sghs.HMCR = "a"
except:
new_sghs.HMCR = 0.5
assert new_sghs.HMCR == 0.5
try:
new_sghs.PAR = "b"
except:
new_sghs.PAR = 0.5
assert new_sghs.PAR == 0.5
try:
new_sghs.LP = 0.0
except:
new_sghs.LP = 100
try:
new_sghs.LP = 0
except:
new_sghs.LP = 100
assert new_sghs.LP == 100
try:
new_sghs.HMCRm = "a"
except:
new_sghs.HMCRm = 0.98
try:
new_sghs.HMCRm = -1
except:
new_sghs.HMCRm = 0.98
assert new_sghs.HMCRm == 0.98
try:
new_sghs.PARm = "b"
except:
new_sghs.PARm = 0.9
try:
new_sghs.PARm = -1
except:
new_sghs.PARm = 0.9
assert new_sghs.PARm == 0.9
try:
new_sghs.bw_min = "c"
except:
new_sghs.bw_min = 1.0
try:
new_sghs.bw_min = -1
except:
new_sghs.bw_min = 1.0
assert new_sghs.bw_min == 1.0
try:
new_sghs.bw_max = "d"
except:
new_sghs.bw_max = 10.0
try:
new_sghs.bw_max = -1
except:
new_sghs.bw_max = 10.0
try:
new_sghs.bw_max = 0
except:
new_sghs.bw_max = 10.0
assert new_sghs.bw_max == 10.0
def test_sghs_params_setter():
new_sghs = hs.SGHS()
try:
new_sghs.HMCR = 'a'
except:
new_sghs.HMCR = 0.5
assert new_sghs.HMCR == 0.5
try:
new_sghs.PAR = 'b'
except:
new_sghs.PAR = 0.5
assert new_sghs.PAR == 0.5
try:
new_sghs.LP = 0.0
except:
new_sghs.LP = 100
try:
new_sghs.LP = 0
except:
new_sghs.LP = 100
assert new_sghs.LP == 100
try:
new_sghs.HMCRm = 'a'
except:
new_sghs.HMCRm = 0.98
try:
new_sghs.HMCRm = -1
except:
new_sghs.HMCRm = 0.98
assert new_sghs.HMCRm == 0.98
try:
new_sghs.PARm = 'b'
except:
new_sghs.PARm = 0.9
try:
new_sghs.PARm = -1
except:
new_sghs.PARm = 0.9
assert new_sghs.PARm == 0.9
try:
new_sghs.bw_min = 'c'
except:
new_sghs.bw_min = 1.0
try:
new_sghs.bw_min = -1
except:
new_sghs.bw_min = 1.0
assert new_sghs.bw_min == 1.0
try:
new_sghs.bw_max = 'd'
except:
new_sghs.bw_max = 10.0
try:
new_sghs.bw_max = -1
except:
new_sghs.bw_max = 10.0
try:
new_sghs.bw_max = 0
except:
new_sghs.bw_max = 10.0
assert new_sghs.bw_max == 10.0
def test_sghs_rebuild():
new_sghs = hs.SGHS()
assert new_sghs.built == True