def testNormalInversion(self):
x = Computation.generate(2, 1).next()
y = x.invert()
# Heads should be switched, tails unaffected
self.assertEqual(x.genes[0][2:], y.genes[0][2:])
self.assertEqual(x.genes[0][0], y.genes[0][1])
self.assertEqual(x.genes[0][1], y.genes[0][0])
def testNormalInversion(self):
x = Computation.generate(2, 1).next()
y = x.invert()
# Heads should be switched, tails unaffected
self.assertEqual(x.genes[0][2:], y.genes[0][2:])
self.assertEqual(x.genes[0][0], y.genes[0][1])
self.assertEqual(x.genes[0][1], y.genes[0][0])
def testShortInversion(self):
# 5: Makes sure inversion works with head length=1
i = Computation.generate(1, 1).next()
self.assertEqual(i, i.invert())
def setUp(self):
gen = Computation.generate(5, 3)
self.chromosome1 = gen.next()
self.chromosome2 = gen.next()
def setUp(self):
self.chromosome = Computation.generate(self.head, self.genes).next()
def setUp(self):
self.chromosome = Computation.generate(self.head, self.genes).next()
def testShortInversion(self):
# 5: Makes sure inversion works with head length=1
i = Computation.generate(1, 1).next()
self.assertEqual(i, i.invert())
def setUp(self):
gen = Computation.generate(5, 3)
self.chromosome1 = gen.next()
self.chromosome2 = gen.next()
def testShortIS(self):
# 5: IS transposition should do nothing if head length=1
i = Computation.generate(1, 1).next()
self.assertEqual(i, i.transpose_is(1))
