def test_attributes_gene_impl():
# Create the Genetic algorithm
ga = GA()
# Set necessary attributes
ga.population_size = 3
ga.chromosome_length = 5
ga.generation_goal = 1
# Set gene_impl
ga.gene_impl = lambda: random.randint(1, 10)
# Evolve the genetic algorithm
ga.evolve()
def test_attributes_chromosome_impl_lambdas():
# Create the Genetic algorithm
ga = GA()
# Set necessary attributes
ga.chromosome_length = 3
ga.generation_goal = 1
# Set gene_impl to None so it won't interfere
ga.gene_impl = None
# Set chromosome_impl
ga.chromosome_impl = lambda: [
random.randrange(1,100),
random.uniform(10,5),
random.choice(["up","down"])
]
# Evolve the genetic algorithm
ga.evolve()