def test_should_handle_unexpected_case_2(self, cfg):
# given
p0 = Perception([.5, .5], oktypes=(float, ))
p1 = Perception([.5, .5], oktypes=(float, ))
# Effect is not specializable
effect = Effect([UBR(0, 15), UBR(2, 4)], cfg=cfg)
quality = random.random()
time = random.randint(0, 1000)
cl = Classifier(effect=effect, quality=quality, cfg=cfg)
# when
child = unexpected_case(cl, p0, p1, time)
# then
assert cl.q < quality
assert cl.is_marked() is True
# We cannot generate child from non specializable parent
assert child is None
def test_should_handle_unexpected_case_3(self, cfg):
# given
p0 = Perception([.5, .5], oktypes=(float, ))
p1 = Perception([.5, .8], oktypes=(float, ))
# Second effect attribute is specializable
effect = Effect([UBR(0, 15), UBR(10, 14)], cfg=cfg)
quality = 0.4
time = random.randint(0, 1000)
cl = Classifier(effect=effect, quality=quality, cfg=cfg)
# when
child = unexpected_case(cl, p0, p1, time)
# then
assert cl.q < quality
assert cl.is_marked() is True
assert child is not None
assert child.is_marked() is False
assert child.q == .5
assert child.condition == Condition([UBR(0, 15), UBR(0, 15)], cfg=cfg)
assert child.effect == Effect([UBR(0, 15), UBR(10, 14)], cfg=cfg)
def test_should_handle_unexpected_case_1(self, cfg):
# given
p0 = Perception([.5, .5], oktypes=(float, ))
p1 = Perception([.5, .5], oktypes=(float, ))
# Effect is all pass-through. Can be specialized.
effect = Effect([UBR(0, 15), UBR(0, 15)], cfg=cfg)
quality = .4
time = random.randint(0, 1000)
cl = Classifier(effect=effect, quality=quality, cfg=cfg)
# when
child = unexpected_case(cl, p0, p1, time)
# then
assert cl.q < quality
assert cl.is_marked() is True
assert child
assert child.q == .5
assert child.talp == time
# There is no change in perception so the child condition
# and effect should stay the same.
assert child.condition == Condition([UBR(0, 15), UBR(0, 15)], cfg=cfg)
assert child.effect == Effect([UBR(0, 15), UBR(0, 15)], cfg=cfg)
