def test_best():
problem = Counter()
pop = evolution.Population(lambda: ClassicGRN(),
problem.nin, problem.nout)
pop.evaluate(problem)
assert problem.count == config.POPULATION_SIZE
pop.speciation()
best_fit, best_ind = pop.get_best()
assert problem.count == config.POPULATION_SIZE
assert best_fit > 0
def test_speciation():
problem = Counter()
config.INITIALIZATION_DUPLICATION = 8
pop = evolution.Population(lambda: ClassicGRN(),
problem.nin, problem.nout)
pop.evaluate(problem)
pop.speciation()
assert len(pop.offspring) == 0
assert len(pop.species) > 0
print([len(sp.individuals) for sp in pop.species])
assert problem.count == config.POPULATION_SIZE
def test_fit_increase():
problem = Counter()
problem.cacheable = True
evo = Evolution(problem, lambda: ClassicGRN())
evo.step()
assert np.any([sp.sum_adjusted_fitness > 0.0
for sp in evo.population.species])
best_fit, best_ind = evo.population.get_best()
evo.run(10)
new_best_fit, new_best_ind = evo.population.get_best()
assert np.any([sp.sum_adjusted_fitness > 0.0
for sp in evo.population.species])
assert new_best_fit >= best_fit
def test_make_offspring():
problem = Counter()
config.INITIALIZATION_DUPLICATION = 8
pop = evolution.Population(lambda: ClassicGRN(),
problem.nin, problem.nout)
pop.evaluate(problem)
pop.speciation()
pop.adjust_thresholds()
pop.set_offspring_count()
pop.make_offspring()
assert problem.count == config.POPULATION_SIZE
assert len(pop.offspring) == config.POPULATION_SIZE
assert np.any([ind.evaluated for ind in pop.offspring])
assert np.any([~ind.evaluated for ind in pop.offspring])
def test_noncacheable_counter():
problem = Counter()
problem.cacheable = False
evo = Evolution(problem, lambda: ClassicGRN())
evo.step()
assert np.any([sp.sum_adjusted_fitness > 0.0
for sp in evo.population.species])
assert problem.count == config.POPULATION_SIZE
evo.step()
assert np.any([sp.sum_adjusted_fitness > 0.0
for sp in evo.population.species])
assert problem.count == 2 * config.POPULATION_SIZE
evo.step()
assert np.any([sp.sum_adjusted_fitness > 0.0
for sp in evo.population.species])
assert problem.count == 3 * config.POPULATION_SIZE
def test_init():
problem = Counter()
pop = evolution.Population(lambda: ClassicGRN(),
problem.nin, problem.nout)
assert len(pop.offspring) == config.POPULATION_SIZE
assert len(pop.species) == 0
def test_evaluation():
problem = Counter()
pop = evolution.Population(lambda: ClassicGRN(),
problem.nin, problem.nout)
pop.evaluate(problem)
assert problem.count == config.POPULATION_SIZE