public RandomnessTexture(GraphicsState graphics)
{
const int size = 2048;
var rf = graphics.Device.ResourceFactory;
Texture = rf.CreateTexture(new TextureDescription(size, size, 1, 1, 1, PixelFormat.R32_G32_B32_A32_Float,
TextureUsage.Sampled, TextureType.Texture2D));
Sampler = rf.CreateSampler(new SamplerDescription(SamplerAddressMode.Wrap, SamplerAddressMode.Wrap,
SamplerAddressMode.Wrap, SamplerFilter.MinPoint_MagPoint_MipPoint, null, 0, 0, 0, 0,
SamplerBorderColor.TransparentBlack));
ResourceLayout = rf.CreateResourceLayout(new ResourceLayoutDescription(
new ResourceLayoutElementDescription(nameof(Texture), ResourceKind.TextureReadOnly,
ShaderStages.Compute | ShaderStages.Fragment | ShaderStages.Vertex),
new ResourceLayoutElementDescription(nameof(Sampler), ResourceKind.Sampler,
ShaderStages.Compute | ShaderStages.Fragment | ShaderStages.Vertex)
));
ResourceSet = rf.CreateResourceSet(new ResourceSetDescription(ResourceLayout, Texture, Sampler));
var random = new TRandom(42);
var texture = new RgbaFloat[size * size];
for (var i = 0; i < size * size; i++)
{
var vec = Vector2.Normalize(new Vector2((float)random.Normal(0, 1), (float)random.Normal(0, 1)))
* (float)random.NextDouble().Squared().Squared().Squared() * 2;
texture[i] = new RgbaFloat(
vec.X, vec.Y, (float)random.NextDouble(), (float)random.NextDouble()
);
}
graphics.Device.UpdateTexture(Texture, texture, 0, 0, 0, size, size, 1, 0, 0);
}
public static TimeSpan ExponentialBackoff(int attempt, TimeSpan? firstWait = null)
{
var firstWaitValue = firstWait ?? 200.Milliseconds();
var waitValue = firstWaitValue.TotalMilliseconds * Math.Pow(2, attempt - 1);
var waitWithRandomness = _rand.Normal(waitValue, waitValue * DeviationPercent).Milliseconds();
if (waitWithRandomness < MinWait) waitWithRandomness = MinWait;
return waitWithRandomness;
}
public void DoDraw()
{
int gamesPlayed = (int)Math.Round(trng.Normal(gameCntMean, gameCntStDev));
int[] nums = rng.NextUniqueInts(8, 1, 46).ToArray();
int[] winNums = nums.Take(6).ToArray();
int[] supNums = nums.TakeLast(2).ToArray();
Result = new DrawResult(winNums, supNums, gamesPlayed);
}
public static uint getDivisionPointBetween(uint init, uint end)
{
float middle = (float)(init + end) / 2.0f;
float lengthBetween = (float)end - init + 1.0f;
int divisionPoint;
do
{
// Why 6.0f ? Because we want most streets next to middle point
divisionPoint = (int)(random.Normal(middle, lengthBetween / 6.0f) +
.5d);
} while (!isDivisionPointValidBetween(divisionPoint, init, end));
return((uint)divisionPoint);
}
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();
}
