def test_minimal():
# sample fitness function
def eval_fitness(population):
for individual in population:
individual.fitness = 1.0
# creates the population
local_dir = os.path.dirname(__file__)
config = Config(os.path.join(local_dir, 'test_configuration'))
pop = Population(config)
# run the simulation for up to 20 generations
pop.run(eval_fitness, 20)
# get statistics
avg_fitness = pop.statistics.get_average_fitness()
assert len(avg_fitness) == 1
assert all(f == 1 for f in avg_fitness)
# Change fitness threshold and do another run.
config.max_fitness_threshold = 1.1
pop = Population(config)
# runs the simulation for 20 generations
pop.run(eval_fitness, 20)
# get statistics
avg_fitness = pop.statistics.get_average_fitness()
assert len(avg_fitness) == 20
assert all(f == 1 for f in avg_fitness)
def test_minimal():
# sample fitness function
def eval_fitness(population):
for individual in population:
individual.fitness = 1.0
# creates the population
local_dir = os.path.dirname(__file__)
config = Config(os.path.join(local_dir, 'test_configuration'))
pop = Population(config)
# run the simulation for up to 20 generations
pop.run(eval_fitness, 20)
# get statistics
avg_fitness = pop.statistics.get_average_fitness()
assert len(avg_fitness) == 1
assert all(f == 1 for f in avg_fitness)
# Change fitness threshold and do another run.
config.max_fitness_threshold = 1.1
pop = Population(config)
# runs the simulation for 20 generations
pop.run(eval_fitness, 20)
# get statistics
avg_fitness = pop.statistics.get_average_fitness()
assert len(avg_fitness) == 20
assert all(f == 1 for f in avg_fitness)
