def test_createAlleleRange(self):
_allelerange = GAllele.GAlleleRange(10, 20)
self.assertEqual(_allelerange.beginEnd, [(10, 20)])
self.assertEqual(_allelerange.minimum, 10)
self.assertEqual(_allelerange.maximum, 20)
_allelerange = GAllele.GAlleleRange(1.0, 2.0, real=True)
self.assertEqual(_allelerange.real, True)
def test_AlleleRange_slicing(self):
_allelerange = GAllele.GAlleleRange(10, 20)
_allelerange.add(30, 40)
self.assertEqual(_allelerange[0], (10, 20))
_allelerange[1] = (50, 60)
self.assertEqual(_allelerange[1], (50, 60))
with self.assertRaises(ValueError):
_allelerange[1] = (60, 50)
def test_AlleleRange_add(self):
_allelerange = GAllele.GAlleleRange(10, 20)
_allelerange.add(30, 40)
self.assertEqual(_allelerange.beginEnd, [(10, 20), (30, 40)])
self.assertEqual(_allelerange.minimum, 10)
self.assertEqual(_allelerange.maximum, 40)
with self.assertRaises(ValueError):
_allelerange.add(40, 30)
def test_AlleleRange_getRandomAllele(self):
_allelerange = GAllele.GAlleleRange(10, 20)
random_allele = _allelerange.getRandomAllele()
self.assertTrue(
random_allele,
any([x[0] <= random_allele <= x[1]
for x in _allelerange.beginEnd]))
_allelerange.add(30, 40)
random_allele = _allelerange.getRandomAllele()
self.assertTrue(
random_allele,
any([x[0] <= random_allele <= x[1]
for x in _allelerange.beginEnd]))
_allelerange = GAllele.GAlleleRange(1.0, 2.0, real=True)
random_allele = _allelerange.getRandomAllele()
self.assertTrue(
random_allele,
any([x[0] <= random_allele <= x[1]
for x in _allelerange.beginEnd]))
def run_main():
# Genome instance
setOfAlleles = GAllele.GAlleles()
# From 0 to 10 we can have only some
# defined ranges of integers
for i in range(11):
a = GAllele.GAlleleRange(0, i)
setOfAlleles.add(a)
# From 11 to 19 we can have a set
# of elements
for i in range(11, 20):
# You can even add objects instead of strings or
# primitive values
a = GAllele.GAlleleList(['a', 'b', 'xxx', 666, 0])
setOfAlleles.add(a)
genome = G1DList.G1DList(20)
genome.setParams(allele=setOfAlleles)
# The evaluator function (objective function)
genome.evaluator.set(eval_func)
# This mutator and initializator will take care of
# initializing valid individuals based on the allele set
# that we have defined before
genome.mutator.set(G1DListMutatorAllele)
genome.initializator.set(G1DListInitializatorAllele)
# Genetic Algorithm Instance
ga = GSimpleGA.GSimpleGA(genome)
ga.setGenerations(40)
# Do the evolution, with stats dump
# frequency of 10 generations
ga.evolve(freq_stats=5)
# Best individual
print(ga.bestIndividual())
def test_AlleleRange_repr(self):
_allelerange = GAllele.GAlleleRange(10, 20)
self.assertIsInstance(repr(_allelerange), str)
def test_AlleleRange_len(self):
_allelerange = GAllele.GAlleleRange(10, 20)
_allelerange.add(30, 40)
self.assertEqual(len(_allelerange), 2)
def test_AlleleRange_real(self):
_allelerange = GAllele.GAlleleRange(10, 20)
self.assertEqual(_allelerange.getReal(), False)
_allelerange.setReal(flag=True)
self.assertEqual(_allelerange.getReal(), True)
def test_AlleleRange_clear(self):
_allelerange = GAllele.GAlleleRange(10, 20)
_allelerange.clear()
self.assertEqual(_allelerange.beginEnd, [])
def test_AlleleRange_getMinimum(self):
_allelerange = GAllele.GAlleleRange(10, 20)
self.assertEqual(_allelerange.getMaximum(), 20)
def test_AlleleRange_iter(self):
_allelerange = GAllele.GAlleleRange(10, 20)
self.assertIsInstance(iter(_allelerange), Iterable)