def test_out_of_bounds(self):
"""Test if method raises ValueError when initialized with the wrong value"""
bounds = ([1, 1, 1], [5, 5, 5])
init_pos = np.array([[-2, 3, 3], [6, 8, 1]])
with pytest.raises(ValueError):
P.generate_swarm(
n_particles=2, dimensions=3, bounds=bounds, init_pos=init_pos
)
def test_return_values(self, bounds, center):
"""Test if method returns expected values"""
pos = P.generate_swarm(
n_particles=2, dimensions=3, bounds=bounds, center=center
)
if bounds is None:
min_bounds, max_bounds = (0.1, 2.00)
else:
min_bounds, max_bounds = bounds
lower_bound = center * np.array(min_bounds)
upper_bound = center * np.array(max_bounds)
assert (pos <= upper_bound).all() and (pos >= lower_bound).all()
def test_generate_swarm_bounds_init_pos(bounds, init_pos):
"""Tests if generate_swarm() returns expected values given init_pos and bounds"""
pos = P.generate_swarm(n_particles=2,
dimensions=3,
bounds=bounds,
init_pos=init_pos)
if (bounds is None) and (init_pos is None):
min_bounds, max_bounds = (0.0, 1.00)
elif (bounds is None) and (init_pos is not None):
min_bounds, max_bounds = (-np.inf, np.inf)
else:
min_bounds, max_bounds = bounds
lower_bound = np.array(min_bounds)
upper_bound = np.array(max_bounds)
assert (pos <= upper_bound).all() and (pos >= lower_bound).all()
def test_bounds_wrong_size(self, bounds):
"""Test if method raises ValueError when bounds is of wrong shape"""
with pytest.raises(ValueError):
P.generate_swarm(n_particles=2, dimensions=3, bounds=bounds)
def test_bounds_wrong_type(self, bounds):
"""Test if method raises TypeError when bounds is not an array"""
with pytest.raises(TypeError):
P.generate_swarm(n_particles=2, dimensions=3, bounds=bounds)