def test_lvlup():
owner = StatsOwner()
owner.lvl = 1
owner.xp = 0
owner.load_rules(load_rules_from_file("rules.cfg"))
owner.award_xp(150)
assert owner.lvl > 1
def test_override_rules():
owner = StatsOwner()
rules = load_rules_from_file("rules.cfg")
rules["str"]["cap"] = 1
rules["str"]["scale_amount"] = 8
owner.load_rules(rules)
d = {"str": {"cap": 1337}}
owner.load_rules(d)
assert (
owner.rules["str"]["cap"] == 1337 and
owner.rules["str"]["scale_amount"] == 8
)
def test_build_stat():
import configparser
rules = configparser.ConfigParser()
rules.read("rules.cfg")
rules["str"]["scale_method"] = "flat"
d = parse_rules(rules)
so = StatsOwner()
so.load_rules(d)
s = Stat("str")
so.add(s)
s = so.stat_objects["str"]
assert s.scale_method == s.scale_flat
def main():
import matplotlib.pyplot as plt
lvls = 80
so = StatsOwner()
so.load_rules(load_rules_from_file("rules.cfg"))
p = []
for lvl in range(lvls):
v1 = so.get_next_lvl_target()
so.lvl += 1
r = so.get_next_lvl_target() - v1
p.append(r)
print(p)
y = [y for y in range(lvls)]
plt.plot(y, p)
plt.xlabel("level")
plt.ylabel("value")
plt.show()