private int[] ChooseParents(int[] weights, int sum)
{
var result = new int[2];
int[] value = { 0, 0 };
if (sum == 0)
{
return(value);
}
if (CanSelfReproduce)
{
value = Random.Integers(sum).Take(2).ToArray();
}
else
{
while (value[0] == value[1]) //prevent parent from reproducing with itself
{
Random.Integers(sum).Take(2).ToArray();
}
}
bool first = true, second = true;
for (int i = 0; i < weights.Length; i++)
{
if (first && weights[i] > value[0])
{
result[0] = i;
first = false;
}
if (second && weights[i] > value[1])
{
result[1] = i;
second = false;
}
if (!second && !first)
{
break;
}
}
return(result);
}
public static void Main()
{
// 1) Use TRandom to generate a few random numbers - via IGenerator methods.
Console.WriteLine("TRandom in action, used as an IGenerator");
var trandom = new TRandom();
Console.WriteLine(trandom.Next() - trandom.Next(5) + trandom.Next(3, 5));
Console.WriteLine(trandom.NextDouble() * trandom.NextDouble(5.5) * trandom.NextDouble(10.1, 21.9));
Console.WriteLine(trandom.NextBoolean());
Console.WriteLine();
// 2) Use TRandom to generate a few random numbers - via extension methods.
Console.WriteLine("TRandom in action, used as an IGenerator augmented with extension methods");
Console.WriteLine(string.Join(", ", trandom.Integers().Take(10)));
Console.WriteLine(string.Join(", ", trandom.Doubles().Take(10)));
Console.WriteLine(string.Join(", ", trandom.Booleans().Take(10)));
Console.WriteLine();
// 3) Use TRandom to generate a few distributed numbers.
Console.WriteLine("TRandom in action, used as to get distributed numbers");
Console.WriteLine(trandom.Normal(1.0, 0.1));
Console.WriteLine(string.Join(", ", trandom.NormalSamples(1.0, 0.1).Take(20)));
Console.WriteLine(trandom.Poisson(5));
Console.WriteLine(string.Join(", ", trandom.PoissonSamples(5).Take(20)));
Console.WriteLine();
// 4) There are many generators available - XorShift128 is the default.
var alf = new ALFGenerator(TMath.Seed());
var nr3 = new NR3Generator();
var std = new StandardGenerator(127);
// 5) You can also use distribution directly, even with custom generators.
Console.WriteLine("Showcase of some distributions");
Console.WriteLine("Static sample for Normal: " + NormalDistribution.Sample(alf, 1.0, 0.1));
Console.WriteLine("New instance for Normal: " + new NormalDistribution(1.0, 0.1).NextDouble());
Console.WriteLine();
}
