def test_clone(self):
"""
Should create a new generation by copying the fittest indivuals in
the current generation
"""
fit0 = [1, 2, 3, 4]
pop = Population(individuals=fit0, fitness=fit0)
sumfit = []
for i in range(100):
pop.clone()
sumfit.append(np.sum(pop.fitness))
self.assertGreater(np.max(sumfit), np.sum(fit0))
# should not change shape of 1d array
ind0 = np.random.rand(50)
pop = Population(individuals=ind0, fitness=range(50))
pop.clone()
self.assertEqual(pop.individuals.shape, ind0.shape)
# should not change shape of multi-d array
ind0 = np.random.rand(50, 5)
pop = Population(individuals=ind0, fitness=range(50))
pop.clone()
self.assertEqual(pop.individuals.shape, ind0.shape)
# should not produce NaNs
ind0 = np.round(np.random.rand(100))
pop = Population(individuals=ind0)
for p in range(100):
pop.clone()
self.assertEqual(len(np.nonzero(np.isnan(pop.individuals))[0]), 0)
