/*Main simulation processes: removal of bids
* and genertaion of news ones*/
public static Population Step(SimParams par, Population pop)
{
int[] Vacant;
List <int> NotVacant = Enumerable.Range(0, par.NumBirds).ToList();
//Chose birds to die, mark ones still alive
if (par.AgeDeath)
{
Vacant = AgeDeath(par, pop);
}
else
{
Vacant = RandomDeath(par, pop);
}
for (int i = 0; i < Vacant.Length; i++)
{
NotVacant.Remove(Vacant[i]);
}
//Allow for oblique learning and age up
if (par.ObliqueLearning)
{
Learning.ObliqueLearning(par, pop, Vacant, NotVacant);
}
for (int i = 0; i < NotVacant.Count; i++)
{
pop.Age[NotVacant[i]] += 1;
}
//Pick new mates
if (par.ChooseMate)
{
Songs.ChooseMates(par, pop);
}
//Determine fathers and generate chicks
int[] FatherInd = ChooseMaleFathers(par, pop, Vacant, NotVacant);
for (int i = 0; i < FatherInd.Length; i++)
{
pop.ReplaceBird(par, FatherInd[i], Vacant[i]);
}
//allow for chicks to overlearn, update match and sylrep
if (par.OverLearn == true)
{
Learning.OverLearn(par, pop, Vacant, NotVacant);
}
/*Allow the females to die and be replaced */
if (par.FemaleEvolution)
{
int[] FemaleFathers = ChooseFemaleFathers(par, pop,
Vacant, NotVacant, FatherInd);
for (int i = 0; i < Vacant.Length; i++)
{
pop.FemaleSong[Vacant[i]] = pop.MaleSong[FatherInd[i]];
}
}
if (par.SocialCues || par.SocialPreference > 0)
{
HashSet <int> Fathers = FatherInd.ToHashSet();
for (int i = 0; i < par.NumBirds; i++)
{
if (Fathers.Contains(i))
{
pop.Bred[i] = par.SocialBred;
}
else
{
pop.Bred[i] = par.SocialNotBred;
}
}
}
//update survival probability
if (par.AgeDeath)
{
UpdateDeathProbabilities(par, pop, FatherInd);
}
return(pop);
}
