icepool/tests/pool_alignment_test.py at main · HighDiceRoller/icepool · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
import icepool
import pytest

from icepool import d4, d6, d8, d10, d12, MultisetEvaluator, Pool


class OutcomeCountEvaluator(MultisetEvaluator):

    def next_state(self, state, order, outcome, *pools):
        return (state or 0) + 1


outcome_count = OutcomeCountEvaluator()


class OutcomeRangeEvaluator(MultisetEvaluator):

    def next_state(self, state, order, outcome, *pools):
        return (state or 0) + 1

    extra_outcomes = MultisetEvaluator.consecutive


outcome_range = OutcomeRangeEvaluator()


def test_simple_pool():
    pool = d6.pool(5)
    result = outcome_range.evaluate(pool)
    assert result.outcomes() == (6, )


def test_individual_outcomes():
    pool = Pool([1, 5, 6])
    result = outcome_range.evaluate(pool)
    assert result.outcomes() == (6, )


def test_mixed_pool():
    pool = Pool([d4, d6, d6, d8])
    result = outcome_range.evaluate(pool)
    assert result.outcomes() == (8, )


def test_simple_pool_keep_tuple():
    pool = d6.pool(5)[-2:]
    result = outcome_range.evaluate(pool)
    assert result.outcomes() == (6, )


def test_simple_pool_keep_tuple_low():
    pool = d6.pool(5)[:2]
    result = outcome_range.evaluate(pool)
    assert result.outcomes() == (6, )


def test_mixed_pool_keep_tuple():
    pool = Pool([d4, d6, d6, d8])[-2:]
    result = outcome_range.evaluate(pool)
    assert result.outcomes() == (8, )


def test_mixed_pool_keep_tuple_low():
    pool = Pool([d4, d6, d6, d8])[:2]
    result = outcome_range.evaluate(pool)
    assert result.outcomes() == (8, )


def test_zero_dice_count():
    pool = Pool({d6: 0})
    result = outcome_count.evaluate(pool)
    assert result.outcomes() == (6, )


def test_range_alignment_non_int():
    pool = Pool([0.5])
    with pytest.raises(TypeError):
        result = outcome_range.evaluate(pool)