def test_zero_fitness_get_waxed(self):
count = [-1]
def g():
count[0] = count[0] + 1 # Nasty trick uh? try without the list
return [0, 0, 1, 0, 0][count[0]]
def fitness(state):
return state
self.problem.generate_random_state = g
self.problem.value = fitness
node = genetic(self.problem, iterations_limit=1, mutation_chance=0, population_size=5)
self.assertEqual(node.state, 2)
def test_count_generations(self):
node = genetic(self.problem,
iterations_limit=10,
mutation_chance=0,
population_size=5)
self.assertEqual(node.state, 14) # initial is 4, plus 10 generations
def test_calls_mutation(self):
node = genetic(self.problem,
iterations_limit=1,
mutation_chance=1,
population_size=5)
self.assertEqual(node.state, 20)
def test_solution_is_node(self):
node = genetic(self.problem,
iterations_limit=1,
mutation_chance=0,
population_size=1)
self.assertIsInstance(node, SearchNode)
def test_count_generations(self):
node = genetic(self.problem, iterations_limit=10, mutation_chance=0, population_size=5)
self.assertEqual(node.state, 14) # initial is 4, plus 10 generations
def test_calls_mutation(self):
node = genetic(self.problem, iterations_limit=1, mutation_chance=1, population_size=5)
self.assertEqual(node.state, 20)
def test_solution_is_node(self):
node = genetic(self.problem, iterations_limit=1, mutation_chance=0, population_size=1)
self.assertIsInstance(node, SearchNode)
