public void ScaleBoard()
{
var dir = OutputLocation.CreateDirectory("Cellular Automata Scaling");
foreach (var file in dir.GetFiles())
{
file.Delete();
}
var path = dir.FullName;
void Save(CellBoard board, string name, int scale)
{
using var img = Visualize(board, false, scale);
img.Save(Path.Combine(path, $"{name}.png"));
}
var random = new Random(0);
var board =
new CellBoard(new Size(128, 128))
.Fill(random, probabilityAlive: 0.5)
.MakeBorderAlive(thickness: 1)
.GenerateStandardCave();
Save(board, "1. board", 8);
const int scalingIterations = 3;
CellBoard last = board;
foreach (var noise in new[] { 0, 0.05, 0.1, 0.15, 0.2 })
{
CellBoard scaled = board;
foreach (int scalingIteration in Enumerable.Range(1, scalingIterations))
{
scaled = scaled.Quadruple().AddNoise(random, noise).RunGenerations(1);
Save(scaled, $"{scalingIteration + 1}. board {1 << scalingIteration}x - noise {noise:F2}", 8 / (1 << scalingIteration));
last = scaled;
}
}
}
public void RenderABunchOfOptions()
{
var dir = OutputLocation.CreateDirectory("Cellular Automata Trials");
foreach (var file in dir.GetFiles())
{
file.Delete();
}
var path = dir.FullName;
var trials =
(from seed in Enumerable.Range(0, 3)
from size in new[] { 96, 128 }
from probAlive in new[] { 0.48, 0.5, 0.52 }
select(seed, size, probAlive)).ToArray();
Parallel.ForEach(trials, trial =>
{
var random = new Random(trial.seed);
var board =
new CellBoard(new Size(trial.size, trial.size))
.Fill(random, probabilityAlive: trial.probAlive)
.MakeBorderAlive(thickness: 1)
.GenerateStandardCave()
.TrimToLargestDeadArea()
.ScaleAndSmooth()
.ScaleAndSmooth();
using var img = Visualize(board, showOnlyLargestArea: false);
img.Save(Path.Combine(path, $"Size {trial.size}" +
$" - ProbAlive {trial.probAlive:F2}" +
$" - Seed {trial.seed}" +
$".png"));
});
}
public void MakeDetailedCave()
{
var totalTime = Stopwatch.StartNew();
var stepTime = Stopwatch.StartNew();
var dir = OutputLocation.CreateDirectory("Detailed Cave");
