public static List <string> ChooseTraitsFromEggToEgg(GameObject inst)
{
Debug.Log("ChooseTraitsFromEggToEgg");
var gtc = inst.AddOrGet <GeneticTraitComponent>();
var result = new List <string>();
var fromTraits = inst.GetComponent <AIGeneticTraits>();
Debug.Log("All groups");
var groups = Group.groups;
Util.Shuffle <Group>(groups);
DebugHelper.LogForEach(groups);
if (fromTraits == null)
{
Debug.Log("No traits present");
}
else
{
Debug.Log("Traits presents");
var traits_present = fromTraits.GetTraitIds();
var traits_locked = new List <GeneticTraitBuilder>();
var groups_locked_list = new List <Group>();
foreach (String t in traits_present)
{
var trait_locked = traits.Where(x => x.ID == t).FirstOrDefault();
traits_locked.Add(trait_locked);
result.Add(t);
groups_locked_list.Add(trait_locked.Group);
Debug.Log(trait_locked);
}
Debug.Log("groups_locked");
DebugHelper.LogForEach(groups_locked_list);
//groups = groups.Except(groups_locked);
List <Group> result_ = groups.Except(groups_locked_list).ToList();
groups = result_;
}
Debug.Log("groups");
DebugHelper.LogForEach(groups);
Chances chances = new Chances();
chances.addChance(0.5f); //1 positive trait
chances.addChance(0.25f); //2 positives and 1 negative
chances.addChance(0.25f); //None
var chance_result = chances.rollChance();
chance_result = 0;//for testing purposes
Debug.Log("chance_result " + chance_result);
var number_positives = 0;
var number_negatives = 0;
switch (chance_result)
{
case 0:
number_positives = 1;
break;
case 1:
number_positives = 2;
number_negatives = 1;
break;
case 2:
break;
}
groups.OrderBy(x => Util.GaussianRandom());//is not ordering randomly must be fix
var groups_list = groups.ToList();
for (int i = 0; i < number_positives && groups_list.Count() > 0; i++)
{
var first = groups_list.First();
var temp = ChooseTraitFromGroup(groups.First(), true, true);
if (temp != null)
{
result.Add(temp);
}
groups_list = groups_list.Where(u => u.Id != first.Id).ToList();
}
//for testing
result.Clear();
result.Add((new OffColor()).ID);
for (int i = 0; i < number_negatives && groups.Count() > 0; i++)
{
var first = groups.First();
var temp = ChooseTraitFromGroup(groups.First(), true, false);
if (temp != null)
{
result.Add(temp);
}
groups = groups.Where(u => u.Id != first.Id).ToList();
}
/* int numTraitsToChoose = UnityEngine.Random.Range(2, 4);
* Debug.Log("------------");
* Debug.Log(inst);
* Debug.Log(numTraitsToChoose);
*
*
* foreach (var group in groups)
* {
* if (group.Key.HasRequirements(inst))
* {
* result.Add(ChooseTraitFrom(group));
* }
* }*/
Debug.Log(result);
DebugHelper.LogForEach(result);
// If there are more traits than asked for we don't want to bias to the ones that were chosen first
return(result
.Where(s => s != null)
//.OrderBy(x => Util.GaussianRandom())
//.Take(numTraitsToChoose)
.ToList());
}
