def test_random_neighbor_range_eq_step():
"""Test random_neighbor method when range equals step size"""
problem = ContinuousOpt(5, OneMax(), maximize=True,
min_val=0, max_val=1, step=1)
x = np.array([0, 0, 1, 1, 1])
problem.set_state(x)
neigh = problem.random_neighbor()
sum_diff = np.sum(np.abs(x - neigh))
assert (len(neigh) == 5 and sum_diff == 1)
def test_random_neighbor_range_gt_step():
"""Test random_neighbor method when range greater than step size"""
problem = ContinuousOpt(5, OneMax(), maximize=True,
min_val=0, max_val=2, step=1)
x = np.array([0, 1, 2, 3, 4])
problem.set_state(x)
neigh = problem.random_neighbor()
abs_diff = np.abs(x - neigh)
abs_diff[abs_diff > 0] = 1
sum_diff = np.sum(abs_diff)
assert (len(neigh) == 5 and sum_diff == 1)