def test_apply_prop_scaling(self):
# This scales the list according to the scaling type
param = None
# Check linear
fit = FitnessProportionate(self.fitness, SCALING_LINEAR)
scaling_list = fit._apply_prop_scaling(param)
self.assertAlmostEqual(1.0, sum(scaling_list))
self.assertAlmostEqual(0.09375, scaling_list[0])
self.assertAlmostEqual(0.15625, scaling_list[1])
self.assertAlmostEqual(0.75, scaling_list[2])
# Check exponential
fit = FitnessProportionate(self.fitness, SCALING_EXPONENTIAL)
scaling_list = fit._apply_prop_scaling(param)
self.assertAlmostEqual(1.0, sum(scaling_list))
self.assertAlmostEqual(0.014754098360655738, scaling_list[0])
self.assertAlmostEqual(0.040983606557377046, scaling_list[1])
self.assertAlmostEqual(0.94426229508196724, scaling_list[2])
fit = FitnessProportionate(self.fitness, SCALING_EXPONENTIAL)
scaling_list = fit._apply_prop_scaling(param=1.5)
self.assertAlmostEqual(1.0, sum(scaling_list))
self.assertAlmostEqual(0.038791152234464166, scaling_list[0])
self.assertAlmostEqual(0.083465270324597968, scaling_list[1])
self.assertAlmostEqual(0.87774357744093778, scaling_list[2])
# Check log
fit = FitnessProportionate(self.fitness, SCALING_LOG)
scaling_list = fit._apply_prop_scaling(param)
self.assertAlmostEqual(1.0, sum(scaling_list))
self.assertAlmostEqual(0.10651459360996007, scaling_list[0])
self.assertAlmostEqual(0.24070711137026513, scaling_list[1])
self.assertAlmostEqual(0.6527782950197748, scaling_list[2])
# Check truncation
fit = FitnessProportionate(self.fitness, SCALING_TRUNC)
scaling_list = fit._apply_prop_scaling(param=2.0)
self.assertAlmostEqual(1.0, sum(scaling_list))
self.assertAlmostEqual(0.0, scaling_list[0])
self.assertAlmostEqual(0.17241379310344829, scaling_list[1])
self.assertAlmostEqual(0.82758620689655171, scaling_list[2])
def test_class_init_(self):
# is the scaling type set
# does it check the number range
fit = FitnessProportionate(self.fitness, SCALING_LINEAR)
self.assertNotEqual(None, fit._scaling_type)
# add some negative numbers
self.fitness.extend([[-.5, 3], [-.25, 4], [2.5, 2]])
self.assertRaises(ValueError, FitnessProportionate, self.fitness,
SCALING_LINEAR)
def test_apply_prop_scaling(self):
# This scales the list according to the scaling type
param = None
# Check linear
fit = FitnessProportionate(self.fitness, SCALING_LINEAR)
scaling_list = fit._apply_prop_scaling(param)
self.assertAlmostEqual(1.0, sum(scaling_list))
self.assertAlmostEqual(0.09375, scaling_list[0])
self.assertAlmostEqual(0.15625, scaling_list[1])
self.assertAlmostEqual(0.75, scaling_list[2])
# Check exponential
fit = FitnessProportionate(self.fitness, SCALING_EXPONENTIAL)
scaling_list = fit._apply_prop_scaling(param)
self.assertAlmostEqual(1.0, sum(scaling_list))
self.assertAlmostEqual(0.014754098360655738, scaling_list[0])
self.assertAlmostEqual(0.040983606557377046, scaling_list[1])
self.assertAlmostEqual(0.94426229508196724, scaling_list[2])
fit = FitnessProportionate(self.fitness, SCALING_EXPONENTIAL)
scaling_list = fit._apply_prop_scaling(param=1.5)
self.assertAlmostEqual(1.0, sum(scaling_list))
self.assertAlmostEqual(0.038791152234464166, scaling_list[0])
self.assertAlmostEqual(0.083465270324597968, scaling_list[1])
self.assertAlmostEqual(0.87774357744093778, scaling_list[2])
# Check log
fit = FitnessProportionate(self.fitness, SCALING_LOG)
scaling_list = fit._apply_prop_scaling(param)
self.assertAlmostEqual(1.0, sum(scaling_list))
self.assertAlmostEqual(0.10651459360996007, scaling_list[0])
self.assertAlmostEqual(0.24070711137026513, scaling_list[1])
self.assertAlmostEqual(0.6527782950197748, scaling_list[2])
# Check truncation
fit = FitnessProportionate(self.fitness, SCALING_TRUNC)
scaling_list = fit._apply_prop_scaling(param=2.0)
self.assertAlmostEqual(1.0, sum(scaling_list))
self.assertAlmostEqual(0.0, scaling_list[0])
self.assertAlmostEqual(0.17241379310344829, scaling_list[1])
self.assertAlmostEqual(0.82758620689655171, scaling_list[2])
def test_select(self):
fit = FitnessProportionate(self.fitness, SCALING_LINEAR)
self.assertEqual(3, len([i for i in fit.select()]))
def test_set_scaling_type(self):
fit = FitnessProportionate(self.fitness, SCALING_LINEAR)
self.assertEqual(SCALING_LINEAR, fit._scaling_type)
def test_select(self):
fit = FitnessProportionate(self.fitness, SCALING_LINEAR)
self.assertEqual(3, len([i for i in fit.select()]))
