def testQuickReplicator2(self):
"""Population should not change when fitnesses are equal"""
f = [1.0]*10
for i in xrange(50):
p = Dynamics.RandomDistribution(10)
r = Dynamics._QuickReplicator(p, f)
self.failIf(not AlmostEqual(p, r))
def testReplicator4(self):
"""Little noise should only matter a little"""
for i in xrange(50):
p = Dynamics.RandomDistribution(100)
f = array([random.random() for k in xrange(100)])
r = Dynamics._QuickReplicator(p, f)
r2 = Dynamics._Replicator(p, f, 0.01)
self.failUnless(AlmostEqual(r, r2, 0.0101))
def testReplicator3(self):
"""Noise should matter"""
for i in xrange(50):
p = Dynamics.RandomDistribution(100)
f = array([random.random() for k in xrange(100)])
r = Dynamics._QuickReplicator(p, f)
r2 = Dynamics._Replicator(p, f, 0.5)
self.failIf(AlmostEqual(r, r2))
def testReplicator2(self):
"""Replicator should yield the same results as QR if noise = 0.0"""
for i in xrange(50):
p = Dynamics.RandomDistribution(20)
f = array([random.random() for k in xrange(20)])
r = Dynamics._QuickReplicator(p, f)
r2 = Dynamics._Replicator(p, f, 0.0)
self.failUnless(AlmostEqual(r, r2))
def testQuickReplicator3(self):
"""Different fitness values ought to have an impact"""
p = Dynamics.UniformDistribution(10)
f = array([1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1])
for i in xrange(5):
r = Dynamics._QuickReplicator(p, f)
for k in range(len(r)-1):
self.failIf(r[k+1]>=r[k])
p = r
def testQuickReplicator1(self):
"""Results of QuickReplicator should be sound"""
for i in xrange(50):
p = Dynamics.RandomDistribution(50)
f = array([random.random() for k in xrange(50)])
r = Dynamics._QuickReplicator(p, f)
for x in r:
self.failIf(x < 0.0 or x > 1.0)
self.failUnless(AlmostEqual(sum(r), 1.0))
def testQuickReplicator4(self):
"""Extinct species should stay extinct."""
for i in xrange(50):
f = array([random.uniform(0.5, 1.5) for k in xrange(10)])
x = random.randint(1, 9)
p = Dynamics.UniformDistribution(x, 0.5)
p = concatenate((p, array([0.0] * (10-x))))
idx = [l for l in range(10) if p[l] == 0.0]
r = Dynamics._QuickReplicator(p, f)
for l in idx:
self.failIf(r[l] != 0.0)
