Example #1
0
def misses_leadership(hit, wound, save, damage, wound_dice=3):
    return dice_up(
        Dice.from_dice(6),
        hit,
        lambda d: dice_up(
            wound_dice * Dice.from_dice(6),
            wound,
            lambda d: dice_down(Dice.from_dice(6), save, lambda d: damage,),
        ),
    )
Example #2
0
def misses_standard(hit, wound, save, damage):
    return dice_up(
        Dice.from_dice(6),
        hit,
        lambda d: dice_up(
            Dice.from_dice(6),
            wound,
            lambda d: dice_down(Dice.from_dice(6), save, lambda d: damage,),
        ),
    )
Example #3
0
def main():
    fig, ax = plt.subplots(figsize=(8, 8), subplot_kw={"projection": "3d"})
    NUMBERS = range(0, 13)
    results = [
        sa_reroll(NUMBERS, Dice.from_dice(12)),
        sa_reroll(NUMBERS, 2 * Dice.from_dice(6)),
    ][1:]
    for result, colour in zip(from_results(results, only_positive=True), COLOURS):
        ax.plot_wireframe(*result, color=colour, alpha=0.5, cstride=0)
    ax.set_xlabel("Damage")
    ax.set_ylabel("Reroll from")
    ax.set_zlabel("Chance")
    ax.set_title(f"SA damage")

    plt.show()
Example #4
0
def mbl_c_beam(leadership, armour, inv=7):
    for toughness in range(6, TOUGHNESS_LIMIT):
        yield (
            toughness,
            misses_leadership(
                3, leadership, min(armour + 5, inv), 2 * Dice.from_dice(6),
            ),
        )
Example #5
0
def mbl(armour, inv=7):
    for leadership in range(1, 12, 2):
        yield (
            leadership,
            misses_leadership(
                3, leadership, min(armour + 5, inv), 2 * Dice.from_dice(6),
            ),
        )
Example #6
0
def c_beam(level, armour, inv=7):
    for toughness in range(6, TOUGHNESS_LIMIT):
        yield (
            toughness,
            2
            * misses_standard(
                2,
                wound(6 + 2 * level, toughness),
                min(armour + 3, inv),
                (1 + level) * Dice.from_dice(3),
            ),
        )
Example #7
0
import fractions

import matplotlib
from dice_stats import Dice

if __name__ == "__main__":
    d = Dice.from_dice(6) + Dice.from_dice(6)
    print(d)
    d = 2 * Dice.from_dice(6)
    print(d)

    print(
        Dice.sum([
            (1 * Dice.from_dice(6)).as_chance(fractions.Fraction(2, 6)),
            (2 * Dice.from_dice(6)).as_chance(fractions.Fraction(3, 6)),
            (3 * Dice.from_dice(6)).as_chance(fractions.Fraction(1, 6)),
        ]))

    print(
        Dice.from_dice(6).chances({
            (1, 2): (1 * Dice.from_dice(6)),
            (3, 4, 5): (2 * Dice.from_dice(6)),
            (6, ): (3 * Dice.from_dice(6)),
        }))

    print(Dice.from_dice(6).removes([1, 2]))

    print(Dice.from_dice(6).reroll([]))
    print(Dice.from_dice(6).reroll([1]))
    print(Dice.from_dice(6).reroll([1, 2]))
    print(Dice.from_dice(6).reroll([1, 2, 3]))
Example #8
0
def sa_reroll(rerolls, damage: Dice):
    for reroll in rerolls:
        new_damage = damage.apply_chances(
            {Range.from_range(f"[,{reroll}]"): lambda _: damage,}, lambda dice: dice,
        )
        yield reroll, new_damage
Example #9
0
def dice_up(dice, number, callback):
    return dice.apply_functions(
        {Range.from_range(f"[{number},]"): callback}, lambda d: Dice.from_empty()
    )
Example #10
0
def crits():
    return Dice.max(*2 * [Dice.from_dice(20)])
Example #11
0
def fnp_damage(damage, fnp):
    return Damage.sum(amount - (fnp.non_repeat * amount).as_chance(chance)
                      for amount, chance in damage.items())