def test_ppa_predation_phase():
search_space = search.SearchSpace(n_agents=10,
n_variables=2,
lower_bound=[0, 0],
upper_bound=[10, 10])
new_ppa = ppa.PPA()
new_ppa.compile(search_space)
new_ppa._predation_phase(search_space, 5, 5, 10, 1, 10)
def test_ppa_update():
search_space = search.SearchSpace(n_agents=10,
n_variables=2,
lower_bound=[0, 0],
upper_bound=[10, 10])
new_ppa = ppa.PPA()
new_ppa.compile(search_space)
new_ppa.update(search_space, 1, 10)
new_ppa.update(search_space, 9, 10)
def test_ppa_calculate_population():
search_space = search.SearchSpace(n_agents=10,
n_variables=2,
lower_bound=[0, 0],
upper_bound=[10, 10])
new_ppa = ppa.PPA()
new_ppa.compile(search_space)
n_crows, n_cats, n_cuckoos = new_ppa._calculate_population(20, 1, 10)
assert n_crows == 13
assert n_cats == 1
assert n_cuckoos == 6
def test_ppa_compile():
search_space = search.SearchSpace(n_agents=10,
n_variables=2,
lower_bound=[0, 0],
upper_bound=[10, 10])
new_ppa = ppa.PPA()
new_ppa.compile(search_space)
try:
new_ppa.velocity = 1
except:
new_ppa.velocity = np.array([1])
assert new_ppa.velocity == np.array([1])