public void TestFrequencyImg()
{
var rng = new UniformRNG(0);
int[] bucket = new int[100];
const int xExtent = 100;
const int yExtent = 200;
using (var file = File.OpenWrite(Path.Combine(RootDir, "rng_frequency.bmp")))
using (var image = new Image <SixLabors.ImageSharp.PixelFormats.Rgb24>(xExtent, yExtent))
{
for (int i = 0; i < 10000; ++i)
{
bucket[rng.Uniform(0, xExtent)]++;
}
for (int i = 0; i < xExtent; ++i)
{
for (int j = 0; j < bucket[i]; ++j)
{
image[i, yExtent - j - 1] = new SixLabors.ImageSharp.PixelFormats.Rgb24(0xFF, 0x69, 0xB4);
}
}
image.SaveAsBmp(file);
}
}
public void TestUniform()
{
var rng = new UniformRNG(0);
var i1 = rng.Uniform(1, 2);
Assert.Equal(1, i1);
var i2 = rng.Uniform(1U, 2U);
Assert.Equal(1U, i2);
var i3 = rng.Uniform(1.0f, 1.0f);
Assert.Equal(1.0f, i3);
var i4 = rng.Uniform(1.0, 1.0);
Assert.Equal(1.0, i4);
}
public void TestIntNoiseImg()
{
var rng = new UniformRNG(0);
const int xExtent = 100;
const int yExtent = 100;
using (var file = File.OpenWrite(Path.Combine(RootDir, "rng_int_noise.bmp")))
using (var image = new Image <SixLabors.ImageSharp.PixelFormats.Rgb24>(xExtent, yExtent))
{
for (int i = 0; i < xExtent; ++i)
{
for (int j = 0; j < yExtent; ++j)
{
var color = (byte)rng.Uniform(0, 255);
image[i, j] = new SixLabors.ImageSharp.PixelFormats.Rgb24(color, color, color);
}
}
image.SaveAsBmp(file);
}
}
