static List <CardAIPlanData> RefineMultiCastPlan(CardAI ai, CardAIPlanData entryState, List <CardAIPlanData> plans)
{
NetBattlefield bf = entryState.bf;
//get top plans and try to refine them
int min = Mathf.Min(plans.Count, ai.refiningSize);
for (int i = 0; i < min; i++)
{
for (int k = 0; k < ai.intensity; k++)
{
//prepare source for cast copying target enumerator so that it can be reused by the further casts
CardAIPlanData source = entryState;
NetSkill ns = bf.GetSkillByID(plans[i].GetTopCardPlay().skill);
//cast form the source plan data so that it is not casted "after" action we want to reiterate to different targets
CardAIPlanData d = CastSkillOnece(ai, ns, ns.GetOwner(bf), source, bf.CloneAndRemember(), plans[i].GetTopCardPlay().targetEnumerator);
if (d.valid && plans[i].value < d.value)
{
d.SetEnumerator(plans[i].GetTopCardPlay().targetEnumerator);
plans[i] = d;
}
}
}
//select best plan per skill
return(plans.GetRange(0, min));
}
static CardAIPlanData ProduceSingleRefination(CardAI ai, CardAIPlanData entryState, CardAIPlanData plan)
{
NetBattlefield bf = entryState.bf;
NetSkill ns = bf.GetSkillByID(plan.GetTopCardPlay().skill);
//cast form the source plan data so that it is not casted "after" action we want to reiterate to different targets
CardAIPlanData d = CastSkillOnece(ai, ns, ns.GetOwner(bf), entryState, bf.CloneAndRemember(), plan.GetTopCardPlay().targetEnumerator);
if (d.valid && plan.value < d.value)
{
d.SetEnumerator(plan.GetTopCardPlay().targetEnumerator);
}
return(d);
}