def test_evaluate_fitness(self):
# test whether select from fitness selections works
self.assertEqual(.5, self.ges._max_fitness_rate)
self.ges.set_fitness_selections(
FitnessElites(self.ges.fitness_list, .1))
pool = self.ges._evaluate_fitness()
self.assertEqual(1, len(pool))
# test whether max fitness rate works
self.ges.set_fitness_selections(
FitnessElites(self.ges.fitness_list, .75))
pool = self.ges._evaluate_fitness()
self.assertEqual(3, len(pool))
def test_evaluate_fitness(self):
# test whether select from fitness selections works
self.assertEqual(.5, self.ges._max_fitness_rate)
self.ges.set_fitness_selections(
FitnessElites(self.ges.fitness_list, .1))
pool = self.ges._evaluate_fitness()
#self.assertEqual(1, len(pool)) # TODO: what's going on here? apparently it has to be reduced by one for python 3.x?
self.assertEqual(0, len(pool))
# test whether max fitness rate works
self.ges.set_fitness_selections(
FitnessElites(self.ges.fitness_list, .75))
pool = self.ges._evaluate_fitness()
#self.assertEqual(3, len(pool)) # TODO: what's going on here? apparently it has to be reduced by one for python 3.x?
self.assertEqual(2, len(pool))
def test_classinit_(self):
self.assertRaises(ValueError,
FitnessElites,
self.fitness_list,
rate=1.1)
self.assertRaises(ValueError,
FitnessElites,
self.fitness_list,
rate=-1.1)
self.assertRaises(ValueError,
FitnessElites,
self.fitness_list,
rate=0.0)
fit = FitnessElites(self.fitness_list, rate=0.1)
self.assertAlmostEqual(0.1, fit._rate)
self.assertAlmostEqual(MIN, fit._selection_type)
ges.set_bnf(bnf)
ges.set_genotype_length(start_gene_length=20, max_gene_length=50)
ges.set_population_size(50)
ges.set_wrap(True)
ges.set_max_generations(1000)
ges.set_fitness_type(MIN, .01)
ges.set_max_program_length(500)
ges.set_timeouts(10, 120)
ges.set_fitness_fail(100.0)
ges.set_mutation_rate(.025)
ges.set_fitness_selections(
FitnessElites(ges.fitness_list, .05),
FitnessTournament(ges.fitness_list, tournament_size=2))
ges.set_max_fitness_rate(.5)
ges.set_crossover_rate(.2)
ges.set_children_per_crossover(2)
ges.set_mutation_type('m')
ges.set_max_fitness_rate(.25)
ges.set_replacement_selections(
ReplacementTournament(ges.fitness_list, tournament_size=3))
ges.set_maintain_history(True)
ges.create_genotypes()
print ges.run()
print ges.fitness_list.sorted()
def test_select(self):
fit = FitnessElites(self.fitness_list, rate=0.3333)
count = len([i for i in fit.select()])
self.assertEqual(1, count)
def test_set_rate(self):
fit = FitnessElites(self.fitness_list, rate=0.1)
self.assertAlmostEqual(0.1, fit._rate)
def test_select(self):
fit = FitnessElites(self.fitness_list, rate=0.3333)
count = len([i for i in fit.select()])
self.assertEqual(1, count)