def test_reproduce_differently_fit_genomes_with_overlapping_connections(self):
genome1 = Genome([[1, 3, 0, True], [2, 4, 0, True], [1, 4, 1, True]], 2, 2)
# genome2 becomes independent copy of genome 1 (same invocation numbers)
genome2 = Genome._reproduce_equal_genomes(genome1, genome1)
# add different connection
genome2._create_connection_genes([[2, 3, 0, True]])
# change genome 2 (1,4) connection weight
genome2.connection_genes[(1, 4)].weight = 5
genome1.fitness = 2.0
genome2.fitness = 1.0
child = Genome.reproduce(genome1, genome2)
self.assertEqual([(1, 3), (1, 4), (2, 4)], child.get_connections_ids())
overlapping_connection = child.connection_genes[(1, 4)]
weight = overlapping_connection.weight
self.assertTrue(weight == 1 or weight == 5)
genome1.fitness = 1.0
genome2.fitness = 2.0
child = Genome.reproduce(genome1, genome2)
self.assertEqual([(1, 3), (1, 4), (2, 3), (2, 4)], child.get_connections_ids())
overlapping_connection = child.connection_genes[(1, 4)]
weight = overlapping_connection.weight
self.assertTrue(weight == 1 or weight == 5)
def test_reproduce_equally_fit_genomes(self):
genome1 = Genome([[1, 3, 0, True], [2, 4, 0, True]], 2, 2)
genome2 = Genome([[1, 4, 0, True], [2, 3, 0, True]], 2, 2)
genome1.fitness = 1.0
genome2.fitness = 1.0
child = Genome.reproduce(genome1, genome2)
self.assertEqual([(1, 3), (1, 4), (2, 3), (2, 4)], child.get_connections_ids())
