def test_empty():
"""
Empty pools make no sense. Especially with the "Botch" and/or "Unstoppable
Six" optional rules, since no dice is simultaneously all 1s and all 6s.
"""
with pytest.raises(ValueError):
ote.total(0)
with pytest.raises(ValueError):
ote.pool(0)
def test_total(dice):
"""
Get the result of a roll.
"""
assert ote.total(dice).is_same(dice @ d6)
assert ote.total(dice, bonus=0).is_same(dice @ d6)
assert ote.total(dice, bonus=1).is_same(
drop_lowest(1, d6, count=dice + 1).apply(sum))
assert ote.total(dice, bonus=-1).is_same(
drop_highest(1, d6, count=dice + 1).apply(sum), )
def test_botch():
"""
total() reports a botch as -1. pool() reports a single -1.
"""
# Probabilities for botch on 2 dice, with bonus/penalty
normal_prob = Fraction(1, 36)
bonus_prob = Fraction(1, 216)
pen_prob = Fraction(1 + 3 * 5, 216)
assert ote.total(2, botch=True).is_same(
(2 @ d6).apply(lambda x: -1 if x == 2 else x))
assert p(ote.total(2, bonus=0, botch=True) == -1) == normal_prob
assert p(ote.total(2, bonus=1, botch=True) == -1) == bonus_prob
assert p(ote.total(2, bonus=-1, botch=True) == -1) == pen_prob
botch = PlainResult(-1)
assert ote.pool(2, botch=True).is_same(
Pool(d6, d6).apply(lambda x: botch if x == PlainResult(1, 1) else x))
assert p(ote.pool(2, bonus=0, botch=True) == botch) == normal_prob
assert p(ote.pool(2, bonus=1, botch=True) == botch) == bonus_prob
assert p(ote.pool(2, bonus=-1, botch=True) == botch) == pen_prob
def test_unstoppable(dice):
"""
unstoppable() can be applied to a pool to tell you both the total and the
existence (or not) of 6s.
"""
drv = ote.pool(dice).apply(ote.Unstoppable)
drv2 = ote.pool(dice, unstoppable=True)
drv3 = drv2.apply(ote.Unstoppable)
assert drv.is_same(drv2)
assert drv.is_same(drv3)
assert drv.apply(lambda x: x.total).is_same(ote.total(dice))
# Check that you can apply(sum) regardless of options.
assert drv.apply(lambda x: x.total).is_same(drv.apply(sum))
assert p(drv.apply(lambda x: not x.unstoppable)) == Fraction(5, 6)**dice
def test_explode():
"""
The "Blowing the top" rule doesn't require any special result values, it
just adds an exploding d6 sometimes.
"""
# Probabilities for explosion on 2 dice, with bonus/penalty
normal_prob = Fraction(1, 36)
bonus_prob = Fraction(1 + 3 * 5, 216)
pen_prob = Fraction(1, 216)
def low(result):
return result < 12
def high(result):
return result >= 12
assert ote.total(2, explode=True).given(low).is_same((2 @ d6).given(low))
assert ote.total(2, explode=True).given(high).is_same(d6.explode() + 12, )
assert ote.total(2, explode=5).given(low).is_same((2 @ d6).given(low))
assert ote.total(2, explode=5).given(high).is_same(
d6.explode(rerolls=5) + 12, )
assert p(ote.total(2, bonus=0, explode=True) > 12) == normal_prob
assert p(ote.total(2, bonus=1, explode=True) > 12) == bonus_prob
assert p(ote.total(2, bonus=-1, explode=True) > 12) == pen_prob
def short(result):
return len(result.values) == 2
def long(result):
return len(result.values) == 3
assert ote.pool(2, explode=True).given(short).is_same(
Pool(d6, d6).given(lambda x: x != PlainResult(6, 6)))
assert ote.pool(2, explode=True).given(long).is_same(
(d6.explode().apply(lambda x: PlainResult(6, 6, x))), )
assert ote.pool(2, explode=5).given(short).is_same(
Pool(d6, d6).given(lambda x: x != PlainResult(6, 6)))
assert ote.pool(2, explode=5).given(long).is_same(
(d6.explode(rerolls=5).apply(lambda x: PlainResult(6, 6, x))), )
assert p(ote.pool(2, bonus=0, explode=True).apply(sum) > 12) == normal_prob
assert p(ote.pool(2, bonus=1, explode=True).apply(sum) > 12) == bonus_prob
assert p(ote.pool(2, bonus=-1, explode=True).apply(sum) > 12) == pen_prob