class PopulationTest(unittest.TestCase):
'''Tests population cycling'''
def setUp(self):
self.pop = Population(SillyComputation, 10, 5, 1)
# Turn all variation on all the time
self.pop.mutation_rate = 1.1 # additional .1 = sanity check
self.pop.inversion_rate = 1.1
self.pop.is_transposition_rate = 1.1
self.pop.ris_transposition_rate = 1.1
self.pop.gene_transposition_rate = 1.1
self.pop.crossover_one_point_rate = 1.1
self.pop.crossover_two_point_rate = 1.1
self.pop.crossover_gene_rate = 1.1
def testBestFitness(self):
for c in self.pop:
self.assertTrue(self.pop.best >= c)
def testCycle(self):
self.assertEqual(self.pop.age, 0)
first_best = self.pop.best
self.pop.solve(1)
self.assertEqual(self.pop.age, 1)
self.assertEqual(len(self.pop), 10)
self.assertTrue(self.pop[0] is first_best)
def testZeroFitness(self):
# Special case: mean fitness <= 0
p = Population(ZeroFitnessComputation, 10, 5, 1)
p.cycle()
self.assertEqual(0, p.mean)
self.assertEqual(0, p.stdev)
def testStopOnSolve(self):
p = Population(ZeroFitnessComputation, 10, 5, 1)
p.solve(100)
self.assertEqual(0, p.age)
def testEmptyPopulation(self):
self.assertRaises(ValueError, Population, SillyComputation, 0, 5, 1)
def testPopulationRepr(self):
p = repr(self.pop)
for c in self.pop:
self.assertTrue(repr(c) in p)
def testCrossoverPairs(self):
seen = set()
for x, y in self.pop._pairs(1.1):
seen.add(x)
seen.add(y)
# The first org and one other should be left out
self.assertTrue(0 not in seen)
self.assertEqual(self.pop.size - 2, len(seen))
def testStopOnSolve(self):
p = Population(ZeroFitnessComputation, 10, 5, 1)
p.solve(100)
self.assertEqual(0, p.age)
def testStopOnSolve(self):
p = Population(ZeroFitnessComputation, 10, 5, 1)
p.solve(100)
self.assertEqual(0, p.age)
class PopulationTest(unittest.TestCase):
'''Tests population cycling'''
def setUp(self):
self.pop = Population(SillyComputation, 10, 5, 1)
# Turn all variation on all the time
self.pop.mutation_rate = 1.1 # additional .1 = sanity check
self.pop.inversion_rate = 1.1
self.pop.is_transposition_rate = 1.1
self.pop.ris_transposition_rate = 1.1
self.pop.gene_transposition_rate = 1.1
self.pop.crossover_one_point_rate = 1.1
self.pop.crossover_two_point_rate = 1.1
self.pop.crossover_gene_rate = 1.1
def testBestFitness(self):
for c in self.pop:
self.assertTrue(self.pop.best >= c)
def testCycle(self):
self.assertEqual(self.pop.age, 0)
first_best = self.pop.best
self.pop.solve(1)
self.assertEqual(self.pop.age, 1)
self.assertEqual(len(self.pop), 10)
self.assertTrue(self.pop[0] is first_best)
def testZeroFitness(self):
# Special case: mean fitness <= 0
p = Population(ZeroFitnessComputation, 10, 5, 1)
p.cycle()
self.assertEqual(0, p.mean)
self.assertEqual(0, p.stdev)
def testStopOnSolve(self):
p = Population(ZeroFitnessComputation, 10, 5, 1)
p.solve(100)
self.assertEqual(0, p.age)
def testEmptyPopulation(self):
self.assertRaises(ValueError, Population, SillyComputation, 0, 5, 1)
def testPopulationRepr(self):
p = repr(self.pop)
for c in self.pop:
self.assertTrue(repr(c) in p)
def testCrossoverPairs(self):
seen = set()
for x, y in self.pop._pairs(1.1):
seen.add(x)
seen.add(y)
# The first org and one other should be left out
self.assertTrue(0 not in seen)
self.assertEqual(self.pop.size-2, len(seen))