def test_create2DBinary_default(self):
_genome = G2DBinaryString.G2DBinaryString(3, 3)
self.assertTrue(hasattr(_genome, 'width'))
self.assertTrue(hasattr(_genome, 'height'))
self.assertTrue(hasattr(_genome, 'initializator'))
self.assertTrue(hasattr(_genome, 'mutator'))
self.assertTrue(hasattr(_genome, 'crossover'))
def test_2DBinary_eq(self):
_genome1 = G2DBinaryString.G2DBinaryString(3, 2)
_genome2 = G2DBinaryString.G2DBinaryString(3, 3)
self.assertFalse(_genome1 == _genome2)
_genome1 = G2DBinaryString.G2DBinaryString(2, 3)
_genome2 = G2DBinaryString.G2DBinaryString(3, 3)
self.assertFalse(_genome1 == _genome2)
_genome1 = G2DBinaryString.G2DBinaryString(3, 3)
_genome2 = G2DBinaryString.G2DBinaryString(3, 3)
_genome1.setItem(2, 1, 0)
_genome2.setItem(2, 1, 1)
self.assertFalse(_genome1 == _genome2)
_genome1 = G2DBinaryString.G2DBinaryString(3, 3)
_genome2 = G2DBinaryString.G2DBinaryString(3, 3)
self.assertTrue(_genome1 == _genome2)
# This function is the evaluation function, we want
# to give high score to more zero'ed chromosomes
def eval_func(chromosome):
score = 0.0
# iterate over the chromosome
for i in range(chromosome.getHeight()):
for j in range(chromosome.getWidth()):
# You can use the chromosome.getItem(i, j)
if chromosome[i][j] == 0:
score += 0.1
return score
# Genome instance
genome = G2DBinaryString.G2DBinaryString(8, 5)
# The evaluator function (objective function)
genome.evaluator.set(eval_func)
genome.crossover.set(Crossovers.G2DBinaryStringXSingleHPoint)
genome.mutator.set(Mutators.G2DBinaryStringMutatorSwap)
# Genetic Algorithm Instance
ga = GSimpleGA.GSimpleGA(genome)
ga.setGenerations(200)
# Do the evolution, with stats dump
# frequency of 10 generations
ga.evolve(freq_stats=10)
# Best individual
def test_2DBinary_clearString(self):
_genome = G2DBinaryString.G2DBinaryString(2, 4)
_genome.clearString()
self.assertEqual(len(_genome.genomeString), _genome.getHeight())
self.assertEqual(len(_genome.genomeString[0]), _genome.getWidth())
self.assertEqual(_genome[1][1], None)
def test_2DBinary_resumeString(self):
_genome = G2DBinaryString.G2DBinaryString(3, 3)
self.assertIsInstance(_genome.resumeString(), str)
def test_repr(self):
_genome = G2DBinaryString.G2DBinaryString(3, 3)
self.assertIsInstance(repr(_genome), str)
def test_2DBinary_iter(self):
_genome = G2DBinaryString.G2DBinaryString(3, 3)
self.assertIsInstance(iter(_genome), Iterable)
def test_2DBinary_setitem(self):
_genome = G2DBinaryString.G2DBinaryString(3, 3)
_genome.setItem(1, 1, 1)
self.assertEqual(_genome.getItem(1, 1), 1)
with self.assertRaises(ValueError):
_genome.setItem(1, 1, 2)