def test_views_swap_all_clusters(self):
orig_all_vals = np.copy(self.indiv2.all_values)
self.indiv1, self.indiv2 = Genotype.xover_cluster(self.indiv1,
self.indiv2,
cxpb=1)
self.indiv1.recreate_views()
self.indiv1.resample_values()
close = np.allclose(self.indiv1.all_values, orig_all_vals)
self.assertTrue(close)
def test_uniform_crossover_clusters(self):
rng = np.random.RandomState(42)
swaps = [True if rng.rand() < 0.5 else False for _ in self.indiv1]
indiv1_ids = [id(i) for i in self.indiv1]
indiv2_ids = [id(i) for i in self.indiv2]
Genotype.global_rng = np.random.RandomState(42)
self.indiv1, self.indiv2 = Genotype.xover_cluster(
self.indiv1, self.indiv2)
# Test whether cluster objects have been swapped or not
for i, (clust1, clust2,
swap) in enumerate(zip(self.indiv1, self.indiv2, swaps)):
with self.subTest(i=i):
if swap:
self.assertEqual(indiv1_ids[i], id(clust2))
self.assertEqual(indiv2_ids[i], id(clust1))
else:
self.assertEqual(indiv1_ids[i], id(clust1))
self.assertEqual(indiv2_ids[i], id(clust2))