def test_epsilon_lexicase_shapes():
"""test_selection.py: epsilon lexicase selection returns correct shape"""
np.random.seed(42)
few = FEW(seed_with_ml=False, population_size=257, lex_size=False)
few.term_set = [node('x', loc=0)]
pop = few.init_pop()
offspring = few.epsilon_lexicase(np.random.rand(257, 100), [])
assert len(offspring) == 257
# smaller popsize than tournament size
few = FEW(seed_with_ml=False, population_size=2, lex_size=False)
few.term_set = [node('x', loc=0)]
pop = few.init_pop()
offspring = few.epsilon_lexicase(np.random.rand(2, 100), [])
assert len(offspring) == 2
def test_lex_size():
"""test_selection.py: lex_size flag on/off"""
few = FEW(seed_with_ml=False, population_size=257, lex_size=True)
Fitness_mat = np.random.rand(257, 10)
size_mat = np.random.randint(1, 100, size=257)
locs = few.epsilon_lexicase(Fitness_mat,
size_mat,
num_selections=100,
survival=True)
assert len(locs) == 100
few = FEW(seed_with_ml=False, population_size=257, lex_size=False)
Fitness_mat = np.random.rand(257, 10)
size_mat = np.random.rand(257, 1)
locs = few.epsilon_lexicase(Fitness_mat,
size_mat,
num_selections=100,
survival=True)
assert len(locs) == 100
