public TomeOfChaos Tome_FromNew(string topSeed)
{
var tome = new TomeOfChaos(topSeed);
AbstractGenerator topRNG;
AbstractGenerator mapRNG;
// Any time the sequence of .Next() calls to an RNG changes,
// the same seed will no longer produce the same world.
tome.Generators["Top"] = topRNG = new NR3Generator(tome.TopSeedInt);
tome.Generators["MapTop"] = mapRNG = new NR3Generator(topRNG.Next());
tome.Generators["Learnable"] = new NR3Generator(topRNG.Next());
tome.MapGenerators[MapEnum.TackerFarm] = new NR3Generator(mapRNG.Next());
tome.MapGenerators[MapEnum.TownBarricade] = new NR3Generator(mapRNG.Next());
return(tome);
}
public void Serializing_NR3Generator_keeps_sequence()
{
var r1 = new NR3Generator();
for (var i = 0; i < 10; i++)
{
int toss = r1.Next();
}
byte[] ser_r1 = ObjectToByteArray(r1);
string b64_r1 = Convert.ToBase64String(ser_r1);
var serializer = new Serializer();
//var writer = new StringWriter();
//writer.Write(b64_r1);
var save = new game_save {
Generator = b64_r1
};
var yaml_r1 = serializer.Serialize(save);
var reader = new StringReader(yaml_r1);
var deserializer = new DeserializerBuilder()
.WithNamingConvention(PascalCaseNamingConvention.Instance)
.Build();
var save_2 = deserializer.Deserialize <game_save>(yaml_r1);
byte[] ser_r2 = Convert.FromBase64String(save_2.Generator);
var r2 = (NR3Generator)ByteArrayToObject(ser_r2);
for (var j = 0; j < 100; j++)
{
int r1_out = r1.Next();
int r2_out = r2.Next();
Assert.That(r1_out, Is.EqualTo(r2_out));
}
}
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();
}
