def try_do_weighted_action(self):
"""
Does the ranged attack, assumes that can_do_ranged_attack returned True.
"""
targeted_actions = [action for action in self.parent.get_children_with_tag("monster_weighted_action")
if action.can_act()]
chosen_action = rng.weighted_choice(targeted_actions)
if "monster_target_action" in chosen_action.tags:
chosen_target = random.choice(chosen_action.get_target_options())
if (not chosen_target.has("is_player") # Only target the player if monster is aware of the player.
or self.parent.monster_actor_state.value == MonsterActorState.HUNTING):
return chosen_action.act(chosen_target.position.value)
else:
return
return chosen_action.act()
def roll(self, numLines = -1):
if numLines == -1:
numLines = len(self.m_lines)
primeChance = 0.02*numLines
ranks = []
for i in range(numLines):
if i == 0:
ranks.append(self.m_rank)
else:
if ranks[i - 1] == self.m_rank and random.random() < primeChance:
ranks.append(self.m_rank)
else:
ranks.append(max(0, self.m_rank - 1))
self.m_lines = []
for i in range(numLines):
line = rng.weighted_choice(PotentialLib.roll(self, ranks[i]))
self.m_lines.append(line)
def expand(self):
self.m_lines.append(rng.weighted_choice(PotentialLib.roll(self, max(0, self.m_rank - 1))))
