def handle_correctable_case(p0: Perception, p1: Perception, cl: Classifier,
population: ClassifiersList):
new_cl = Classifier.build_corrected(cl, p0, p1)
existing = [cl for cl in population if cl == new_cl]
if len(existing) == 0:
population.append(new_cl)
def test_should_construct_correct_classifier(self, cfg):
cl = Classifier(condition="000#", effect="000#", quality=0.2, cfg=cfg)
p0 = Perception("0000")
p1 = Perception("0001")
assert cl.does_match(p0)
new_cl = Classifier.build_corrected(cl, p0, p1)
assert new_cl is not cl
assert new_cl.condition is not cl.condition
assert new_cl.effect is not cl.effect
assert new_cl.condition == Condition("0000")
assert new_cl.action == cl.action
assert new_cl.effect == Effect("0001")
assert new_cl.q == 0.5
assert new_cl.does_match(p0)