soup = CoreSoup().register_input("lst", List[int])
# The spawner which will generate random genes and genomes.
spawner = Spawner(soup)
# The parent selector.
selector = Lexicase(epsilon=False)
# The evolver
evo = GeneticAlgorithm(
error_function=error,
spawner=spawner,
selector=selector,
variation=VariationSet([
(size_neutral_umad, 1.0),
# (Alternation(), 0.2),
# (Genesis(size=(50, 50)), 1.0),
]),
population_size=1000,
max_generations=300,
initial_genome_size=(5, 30)
)
simplifier = GenomeSimplifier(error, int)
if __name__ == "__main__":
best = evo.run(int)
print(best.program.to_def("sum_increments", ["lst"]))
simp_best = simplifier.simplify(best)
print(simp_best.program.to_def("sum_increments", ["lst"]))