class MutationTest(unittest.TestCase):
"""Verifies effects of mutation per allele"""
def setUp(self):
self.gene = KarvaGene([z, z, "y", 3, 4], 1)
self.chromosome = Computation([self.gene], 2)
def testAllMutate(self):
newchr = self.chromosome.mutate(1.1)
for allele in newchr:
self.assertTrue(allele not in [z, z, "y", 3, 4])
self.assertNotEqual(self.chromosome.id, newchr.id)
def testNoMutate(self):
newchr = self.chromosome.mutate(0)
self.assertEqual(newchr.genes[0], self.gene)
self.assertEqual(self.chromosome.id, newchr.id)
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])
class MutationTest(unittest.TestCase):
'''Verifies effects of mutation per allele'''
def setUp(self):
self.gene = KarvaGene([z,z,'y',3,4], 1)
self.chromosome = Computation([self.gene], 2)
def testAllMutate(self):
newchr = self.chromosome.mutate(1.1)
for allele in newchr:
self.assertTrue(allele not in [z,z,'y',3,4])
self.assertNotEqual(self.chromosome.id, newchr.id)
def testNoMutate(self):
newchr = self.chromosome.mutate(0)
self.assertEqual(newchr.genes[0], self.gene)
self.assertEqual(self.chromosome.id, newchr.id)
def testMultigenic(self):
class Foo(object):
a = b = c = d = e = f = 1
# Representation
g1 = KarvaGene(['a', 'b', 'c'], 1)
g2 = KarvaGene(['d', 'e', 'f'], 1)
c = Computation([g1, g2], 1)
self.assertEqual('abcdef', repr(c))
# Evaluation
self.assertEqual((1, 1), c(Foo()))
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 setUp(self):
self.gene = KarvaGene([z, z, "y", 3, 4], 1)
self.chromosome = Computation([self.gene], 2)
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):
self.gene = KarvaGene([z,z,'y',3,4], 1)
self.chromosome = Computation([self.gene], 2)
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))
