def test_two_point_crossover(self, _seed, _c1, _c2, _rc1, _rc2):
# given
cfg = acs2.Configuration(
classifier_length=4, number_of_possible_actions=2)
cl1 = acs2.Classifier(condition=_c1, cfg=cfg)
cl2 = acs2.Classifier(condition=_c2, cfg=cfg)
# when
np.random.seed(_seed)
ga.two_point_crossover(cl1, cl2)
# then
assert cl1.condition == acs.Condition(_rc1)
assert cl2.condition == acs.Condition(_rc2)
def copy_from(cls, old_cls: Classifier, time: int):
"""
Copies old classifier with given time (tga, talp).
Old tav gets replaced with new value.
New classifier also has no mark.
Parameters
----------
old_cls: Classifier
classifier to copy from
time: int
time of creation / current epoch
Returns
-------
Classifier
copied classifier
"""
new_cls = cls(
condition=acs.Condition(old_cls.condition),
action=old_cls.action,
effect=old_cls.effect,
quality=old_cls.q,
reward=old_cls.r,
immediate_reward=old_cls.ir,
cfg=old_cls.cfg)
new_cls.tga = time
new_cls.talp = time
new_cls.tav = old_cls.tav
return new_cls
def merge_with(self, other_classifier, perception, time):
assert self.cfg.do_pee
result = Classifier(cfg=self.cfg)
result.condition = acs.Condition(self.condition)
result.condition.specialize_with_condition(other_classifier.condition)
# action is an int, so we can assign directly
result.action = self.action
result.effect = Effect.enhanced_effect(
self.effect, other_classifier.effect,
self.q, other_classifier.q,
perception)
result.mark = acs.PMark(cfg=self.cfg)
result.r = (self.r + other_classifier.r) / 2.0
result.q = (self.q + other_classifier.q) / 2.0
# This 0.5 is Q_INI constant in the original C++ code
if result.q < 0.5:
result.q = 0.5
result.num = 1
result.tga = time
result.talp = time
result.tav = 0
result.exp = 1
result.ee = False
return result
def test_generalizing_mutation(self, _mu, _cond1, _cond2):
# given
cfg = acs2.Configuration(
classifier_length=4, number_of_possible_actions=2)
cl = acs2.Classifier(condition=_cond1, cfg=cfg)
# when
ga.generalizing_mutation(cl, mu=_mu)
# then
assert cl.condition == acs.Condition(_cond2)