def test_select_parents_tournament():
population = list(unsorted_population)
population = sort_population('min', population)
ga = StandardGA(fitness_test_sin_func, optim='min', selection='tournament', tournament_size=len(population))
parent1, parent2 = ga._select_parents(population)
assert (parent1.fitness_val, parent2.fitness_val) == (1, 2)
def test_select_parents_tournament():
population = list(unsorted_population)
population = sort_population('min', population)
ga = StandardGA(fitness_test_sin_func,
optim='min',
selection='tournament',
tournament_size=len(population))
parent1, parent2 = ga._select_parents(population)
assert (parent1.fitness_val, parent2.fitness_val) == (1, 2)
def test_select_parents_unknown_type():
ga = StandardGA(fitness_test_sin_func)
ga.selection = 'unknown'
with pytest.raises(ValueError):
ga._select_parents([])
def test_select_parents_wheel_sum(selection, wheel_sum):
ga = StandardGA(fitness_test_sin_func, selection=selection)
with pytest.raises(ValueError):
ga._select_parents([], wheel_sum)
def test_select_parents_unknown_type():
ga = StandardGA(fitness_test_sin_func)
ga.selection = 'unknown'
with pytest.raises(ValueError):
ga._select_parents([])
def test_select_parents_wheel_sum(selection, wheel_sum):
ga = StandardGA(fitness_test_sin_func, selection=selection)
with pytest.raises(ValueError):
ga._select_parents([], wheel_sum)
