def test_gs_run():
def square(x):
return np.sum(x)
def hook(optimizer, space, function):
return
new_function = function.Function(pointer=square)
new_gs = gs.GS()
grid_space = grid.GridSpace(n_variables=2,
step=0.1,
lower_bound=[0, 0],
upper_bound=[5, 5])
history = new_gs.run(grid_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 gs failed to converge.'
def test_gs():
new_gs = gs.GS()
assert new_gs.built == True