def test(self):
zeros = BinaryChromosome(size=5, initial_state='ones', evaluate=arb_eval)
ones = BinaryChromosome(size=5, initial_state='ones', evaluate=arb_eval)
crossover = MidpointCrossoverProcreator()
children = crossover.procreate([zeros, ones])
actuals = [1, 1, 1, 1, 1]
for gene, actual in zip(children[0].genes, actuals):
self.assertEqual(gene, actual)
def test(self):
crossover = Procreator()
parents = [
BinaryChromosome(size=5, evaluate=arb_eval, initial_state='zeros'),
BinaryChromosome(size=5, evaluate=arb_eval, initial_state='zeros')
]
children = crossover.procreate(parents)
self.assertEqual(parents, children)
def runTest(self):
mutator = BinaryMutationProcreator(mutation_rate=1)
choms = [
BinaryChromosome(size=5, evaluate=arb_eval, initial_state='zeros'),
BinaryChromosome(size=5, evaluate=arb_eval, initial_state='zeros')
]
mutated = mutator.mutate(choms)
self.assertEqual([1,1,1,1,1], list(mutated[0].genes))
self.assertEqual([1,1,1,1,1], list(mutated[1].genes))
def runTest(self):
seed(2222)
mutator = BinaryMutationProcreator(mutation_rate=0.5)
chroms = [
BinaryChromosome(size=5, evaluate=arb_eval, initial_state='zeros'),
BinaryChromosome(size=5, evaluate=arb_eval, initial_state='ones'),
BinaryChromosome(size=5, evaluate=arb_eval, initial_state='random')
]
mutated = mutator.mutate(chroms)
self.assertEqual([0,0,0,0,1], list(mutated[0].genes))
self.assertEqual([1,1,0,0,0], list(mutated[1].genes))
self.assertEqual([0,1,1,0,1], list(mutated[2].genes))
def test(self):
seed(1)
zeros = BinaryChromosome(size=5,
initial_state='zeros',
evaluate=arb_eval)
ones = BinaryChromosome(size=5,
initial_state='ones',
evaluate=arb_eval)
crossover = UniformCrossoverProcreator(0)
children = crossover.procreate([zeros, ones])
actuals = [0, 0, 0, 0, 0]
for gene, actual in zip(children[0].genes, actuals):
self.assertEqual(gene, actual)
def runTest(self):
mutator = Mutator(mutation_rate=0.01)
chrom = BinaryChromosome(size=5,
evaluate=arb_eval,
initial_state='zeros')
with self.assertRaises(TypeError):
mutator.mutate(chrom, 'asdf')
def test(self):
seed(1)
zeros = BinaryChromosome(size=5,
initial_state='zeros',
evaluate=arb_eval)
ones = BinaryChromosome(size=5,
initial_state='ones',
evaluate=arb_eval)
crossover = FlatCrossoverProcreator()
children = crossover.procreate([zeros, ones])
actuals = [
0.417022004702574, 0.7203244934421581, 0.00011437481734488664,
0.30233257263183977, 0.14675589081711304
]
for gene, actual in zip(children[0].genes, actuals):
self.assertEqual(gene, actual)
self.assertEqual('NPointCrossoverProcreator(crossovers=1)',
repr(NPointCrossoverProcreator()))
self.assertEqual('NPointCrossoverProcreator(crossovers=2)',
repr(NPointCrossoverProcreator(2)))
#
# MARK: procreate
#
def arb_eval(genes):
return 0
zeros = BinaryChromosome(size=5, initial_state='zeros', evaluate=arb_eval)
ones = BinaryChromosome(size=5, initial_state='ones', evaluate=arb_eval)
class ShouldRaiseErrorOnNoParents(TestCase):
def test(self):
crossover = NPointCrossoverProcreator()
with self.assertRaises(ValueError):
crossover.procreate([])
class ShouldRaiseErrorOnTooFewParents(TestCase):
def test(self):
crossover = NPointCrossoverProcreator()
with self.assertRaises(ValueError):
crossover.procreate([ones])
def test(self):
crossover = Procreator()
with self.assertRaises(ValueError):
crossover.procreate([BinaryChromosome(size=5, evaluate=arb_eval)])
def runTest(self):
mutator = BinaryMutationProcreator(mutation_rate=0)
mutated = mutator.mutate(BinaryChromosome(size=5,
evaluate=arb_eval,
initial_state='zeros'))
self.assertEqual([0,0,0,0,0], list(mutated.genes))
def runTest(self):
mutator = Mutator(mutation_rate=0.01)
chrom = BinaryChromosome(size=5,
evaluate=arb_eval,
initial_state='zeros')
mutator.mutate(chrom, True)