def testFitness2Correlation(self):
"""Correlation should make a difference"""
G = ArrayWrapper.array(CorelatedGame)
for k in range(20):
p = Dynamics.RandomDistribution(8)
compare = Dynamics._QuickFitness2(p, G)
fitness = Dynamics._Fitness2(p, G, 0.2)
self.failIf(AlmostEqual(fitness, compare))
def testNumericFitness2Players(self):
"""Fitness2 and numeric_Fitness2 should yield the same values"""
for i in range(20):
G = array(GenRandomGame(2, 8))
for k in range(5):
p = Dynamics.RandomDistribution(8)
compare = Dynamics._Fitness2(p, G, 0.2)
fitness = Dynamics._numeric_Fitness2(p, G, 0.2)
self.failUnless(AlmostEqual(fitness, compare))
def testFitness2Players(self):
"""Fitness should be the same as Fitness2 in the 2 player case"""
for i in range(20):
G = array(GenRandomGame(2, 8))
for k in range(5):
p = Dynamics.RandomDistribution(8)
compare = Dynamics._Fitness2(p, G, 0.2)
fitness = Dynamics._Fitness(p, G, 0.2, 2)
self.failUnless(AlmostEqual(fitness, compare))
def testFitness2ZeroCorrelation(self):
"""Fitness2 should return the same results QuickFitness2 if e=0.0."""
for i in range(20):
G = array(GenRandomGame(2, 8))
for k in range(5):
p = Dynamics.RandomDistribution(8)
compare = Dynamics._QuickFitness2(p, G)
fitness = Dynamics._Fitness2(p, G, 0.0)
self.failUnless(AlmostEqual(fitness, compare))
def testSampledFitness2(self):
"""SampledFitness2 should yield roughly the same results as Fitness2"""
for i in range(5):
G = array(GenRandomGame(2, 8))
p = Dynamics.RandomDistribution(8)
fitness = Dynamics._Fitness2(p, G, 0.2)
failures = 0
for k in range(5):
sampled = Dynamics._SampledFitness2(p, G, 0.2, 1000)
if not AlmostEqual(fitness, sampled, 0.1): failures += 1
self.failIf(failures > 1)
