def test___init__(self):
"""
Should initialize a new evolver instance
"""
f0 = np.asarray([[1, 1, 1, 1, 1], [0, 1, 1, 1, 1], [0, 1, 0, 1, 1], [0, 1, 0, 1, 1]])
ga = Evolver(f0, eval_one_max)
# should have evaluated fitness
self.assertEqual(len(ga.pop.inew), 0)
best_fit, best_ind = ga.best_fit
self.assertEqual(best_fit, 5)
print ga.__str__(extended=True)
def XXX__evolve(self):
"""
Should evolve population by one generation
"""
f0 = 3.0 * np.random.rand(10, 3)
ga = Evolver(f0, eval_one_max)
print ga.__str__(extended=True)
ga._evolve()
print ga.__str__(extended=True)
# should have evaluated fitness
self.assertEqual(len(ga.pop.inew), 0)
