def test_should_generalize_randomly_unchanging_condition_attribute(
self, _condition, _effect, _soa_before, _soa_after, cfg):
# given
condition = Condition(_condition, cfg)
effect = Effect(_effect, cfg)
cl = Classifier(condition=condition, effect=effect, cfg=cfg)
assert len(cl.specified_unchanging_attributes) == _soa_before
# when
cl.generalize_unchanging_condition_attribute()
# then
assert (len(cl.specified_unchanging_attributes)) == _soa_after
def expected_case(cl: Classifier,
p0: Perception,
time: int) -> Optional[Classifier]:
diff = cl.mark.get_differences(p0)
if diff.specificity == 0:
cl.increase_quality()
return None
no_spec = len(cl.specified_unchanging_attributes)
no_spec_new = diff.specificity
child = cl.copy_from(cl, time)
if no_spec >= cl.cfg.u_max:
while no_spec >= cl.cfg.u_max:
res = cl.generalize_unchanging_condition_attribute()
assert res is True
no_spec -= 1
while no_spec + no_spec_new > cl.cfg.u_max:
if random.random() < 0.5:
diff.generalize_specific_attribute_randomly()
no_spec_new -= 1
else:
if cl.generalize_unchanging_condition_attribute():
no_spec -= 1
else:
while no_spec + no_spec_new > cl.cfg.u_max:
diff.generalize_specific_attribute_randomly()
no_spec_new -= 1
child.condition.specialize_with_condition(diff)
if child.q < 0.5:
child.q = 0.5
return child
