added gui and stuff like that

src/main/kotlin/Main.kt

@@ -1,8 +1,13 @@
 import Params.PI
+import Params.SAMPLES
 import Params.TWO_PI
 import Params.as_samples
 import filter.Compressor
+import filter.EchoFilter
 import filter.Limiter
+import gui.SimpleEx
+import random.RandomDisplacementFractal
+import javax.swing.JSlider
 import kotlin.math.cos
 import kotlin.math.pow
 import kotlin.math.sin
@@ -35,27 +40,61 @@ class SineWaveGenerator(var tone: Float) : StepGenerator() {
     }
 }
 
+class RandomDisplacementFractalNoiseGenerator(private val period: Float, val repetitions: Int): StepGenerator() {
+    val width = (period * SAMPLES).toInt()
+
+    val rng = RandomDisplacementFractal( 4f, width, repetitions)
+
+    var pos: Int = 0
+
+    override fun generateSingle(time: Float): Float {
+        val x = pos % width
+        val y = (pos / width) % repetitions
+
+        pos ++
+
+        return rng.get(x, y)
+    }
+
+}
 
 
 fun main(args: Array<String>) {
     val sink = AudioSink()
-
-
     val gen = SoundMachine()
 
     gen.globalEffects.add(Compressor(as_samples(.4f).toInt())::apply)
     gen.globalEffects.add(Limiter(.9f)::apply)
 
-    gen.generators.add(Chain(SineWaveGenerator(0f)::generate, ArrayList()))
+    gen.generators.add(Chain(
+        RandomDisplacementFractalNoiseGenerator(.2f, 100)::generate,
+        listOf(
+            EchoFilter((SAMPLES * 2).toInt(), 0.2f)::apply,
+        )
+    )
+    )
 
     sink.enqueueChunk(gen.nextChunk())
 
     sink.start()
 
-    for (i in 1..100) {
-        sink.enqueueChunk(gen.nextChunk())
+    val close = false
+
+    Thread {
+        while (!close) {
+            sink.enqueueChunk(gen.nextChunk())
+            while (sink.queueSize > 2) {
+                Thread.sleep(1)
+            }
+        }
+    }.start()
+
+    val frame = SimpleEx("Play!")
+
+    frame.add_slider("Property 1", 0, 100, 50).addChangeListener { e ->
+        val value = (e.source as JSlider).value
+
     }
 
-    sink.terminate()
 }
 

src/main/kotlin/filter/EchoFilter.kt

@@ -2,6 +2,9 @@ package filter
 import java.lang.Float.max
 import java.lang.Float.min
 import java.util.*
+import kotlin.math.absoluteValue
+import kotlin.math.pow
+import kotlin.math.sign
 
 fun clamp(min_val: Float, value: Float, max_val: Float) : Float{
     return max(min(value, max_val), min_val)
@@ -12,8 +15,9 @@ class EchoFilter(size: Int, private val volume: Float = 0.5f) : StepFilter() {
     private val cache: Queue<Float> = LinkedList(List(size) { 0f })
 
     override fun step(value: Float): Float {
-        val effect = value + cache.remove() * volume
-        cache.add(effect)
+        val effect = value + cache.remove()
+
+        cache.add(effect.absoluteValue.pow(volume) * effect.sign)
         return effect
     }
 }

src/main/kotlin/gui/gui.kt

@@ -0,0 +1,42 @@
+package gui
+
+import javafx.scene.layout.StackPane
+import java.awt.EventQueue
+import java.awt.GridLayout
+import java.awt.Label
+import javax.swing.JFrame
+import javax.swing.JSlider
+
+class SimpleEx(title: String) : JFrame() {
+
+    init {
+        createUI(title)
+    }
+
+    private fun createUI(title: String) {
+
+        setTitle(title)
+
+        defaultCloseOperation = EXIT_ON_CLOSE
+        setSize(400, 300)
+        setLocationRelativeTo(null)
+
+        layout = GridLayout(20, 2)
+    }
+
+    fun add_slider(name: String, min: Int, max: Int, value: Int): JSlider {
+        add(Label(name))
+        val slider = JSlider(min, max, value)
+
+        slider.minorTickSpacing = 10;
+        slider.paintTicks = true;
+
+        add(slider)
+
+        return slider
+    }
+}
+
+
+fun main() {
+}

src/main/kotlin/random/RandomDisplacementFractal.java

@@ -1,107 +0,0 @@
-package random;
-import java.util.Random;
-
-public class RandomDisplacementFractal {
-
-
-    /** Source of entropy */
-    private Random rand_;
-
-    /** Amount of roughness */
-    float roughness_;
-
-    /** Plasma fractal grid */
-    private float[][] grid_;
-
-    /** Generate a noise source based upon the midpoint displacement fractal.
-     *
-     * @param rand The random number generator
-     * @param roughness a roughness parameter
-     * @param width the width of the grid
-     * @param height the height of the grid
-     */
-    public RandomDisplacementFractal(Random rand, float roughness, int width, int height) {
-        roughness_ = roughness / width;
-        grid_ = new float[width][height];
-        rand_ = (rand == null) ? new Random() : rand;
-    }
-
-    public void initialise() {
-        int xh = grid_.length - 1;
-        int yh = grid_[0].length - 1;
-
-        // set the corner points
-        grid_[0][0] = rand_.nextFloat() - 0.5f;
-        grid_[0][yh] = rand_.nextFloat() - 0.5f;
-        grid_[xh][0] = rand_.nextFloat() - 0.5f;
-        grid_[xh][yh] = rand_.nextFloat() - 0.5f;
-
-        // generate the fractal
-        generate(0, 0, xh, yh);
-    }
-
-
-    // Add a suitable amount of random displacement to a point
-    private float roughen(float v, int l, int h) {
-        return v + roughness_ * (float) (rand_.nextGaussian() * (h - l));
-    }
-
-
-    // generate the fractal
-    private void generate(int xl, int yl, int xh, int yh) {
-        int xm = (xl + xh) / 2;
-        int ym = (yl + yh) / 2;
-        if ((xl == xm) && (yl == ym)) return;
-
-        grid_[xm][yl] = 0.5f * (grid_[xl][yl] + grid_[xh][yl]);
-        grid_[xm][yh] = 0.5f * (grid_[xl][yh] + grid_[xh][yh]);
-        grid_[xl][ym] = 0.5f * (grid_[xl][yl] + grid_[xl][yh]);
-        grid_[xh][ym] = 0.5f * (grid_[xh][yl] + grid_[xh][yh]);
-
-        float v = roughen(0.5f * (grid_[xm][yl] + grid_[xm][yh]), xl + yl, yh
-                + xh);
-        grid_[xm][ym] = v;
-        grid_[xm][yl] = roughen(grid_[xm][yl], xl, xh);
-        grid_[xm][yh] = roughen(grid_[xm][yh], xl, xh);
-        grid_[xl][ym] = roughen(grid_[xl][ym], yl, yh);
-        grid_[xh][ym] = roughen(grid_[xh][ym], yl, yh);
-
-        generate(xl, yl, xm, ym);
-        generate(xm, yl, xh, ym);
-        generate(xl, ym, xm, yh);
-        generate(xm, ym, xh, yh);
-    }
-
-
-    /**
-     * Dump out as a CSV
-     */
-    public void printAsCSV() {
-        for(int i = 0;i < grid_.length;i++) {
-            for(int j = 0;j < grid_[0].length;j++) {
-                System.out.print(grid_[i][j]);
-                System.out.print(",");
-            }
-            System.out.println();
-        }
-    }
-
-
-    /**
-     * Convert to a Boolean array
-     * @return the boolean array
-     */
-    public boolean[][] toBooleans() {
-        int w = grid_.length;
-        int h = grid_[0].length;
-        boolean[][] ret = new boolean[w][h];
-        for(int i = 0;i < w;i++) {
-            for(int j = 0;j < h;j++) {
-                ret[i][j] = grid_[i][j] < 0;
-            }
-        }
-        return ret;
-    }
-
-
-}

src/main/kotlin/random/RandomDisplacementFractal.kt

@@ -0,0 +1,105 @@
+package random
+
+import java.util.*
+
+class RandomDisplacementFractal(val roughness: Float,val width: Int,val height: Int) {
+    /** Source of entropy  */
+    private var rand_: Random = Random()
+
+    /** Amount of roughness  */
+    val roughness_ = roughness / width
+
+    /** Plasma fractal grid  */
+    private val grid_: Array<FloatArray> = Array(width) { FloatArray(height) }
+
+    init {
+        println("Creating fractal...")
+        initialise()
+        println("fractal created")
+    }
+
+    fun initialise() {
+        val xh = grid_.size - 1
+        val yh = grid_[0].size - 1
+
+        // set the corner points
+        grid_[0][0] = rand_.nextFloat() - 0.5f
+        grid_[0][yh] = rand_.nextFloat() - 0.5f
+        grid_[xh][0] = rand_.nextFloat() - 0.5f
+        grid_[xh][yh] = rand_.nextFloat() - 0.5f
+
+        // generate the fractal
+        generate(0, 0, xh, yh)
+    }
+
+
+    // Add a suitable amount of random displacement to a point
+    private fun roughen(v: Float, l: Int, h: Int): Float {
+        return v + roughness_ * (rand_.nextGaussian() * (h - l)).toFloat()
+    }
+
+
+    operator fun get(i: Int, j: Int): Float {
+        if (i >= 0 && i < grid_.size) {
+            if (j >= 0 && j < grid_[0].size) {
+                return grid_[i][j]
+            }
+        }
+        throw IndexOutOfBoundsException("Out of bounds access detected!")
+    }
+
+    // generate the fractal
+    private fun generate(xl: Int, yl: Int, xh: Int, yh: Int) {
+        val xm = (xl + xh) / 2
+        val ym = (yl + yh) / 2
+        if (xl == xm && yl == ym) return
+        grid_[xm][yl] = 0.5f * (grid_[xl][yl] + grid_[xh][yl])
+        grid_[xm][yh] = 0.5f * (grid_[xl][yh] + grid_[xh][yh])
+        grid_[xl][ym] = 0.5f * (grid_[xl][yl] + grid_[xl][yh])
+        grid_[xh][ym] = 0.5f * (grid_[xh][yl] + grid_[xh][yh])
+        val v = roughen(
+            0.5f * (grid_[xm][yl] + grid_[xm][yh]), xl + yl, yh
+                    + xh
+        )
+        grid_[xm][ym] = v
+        grid_[xm][yl] = roughen(grid_[xm][yl], xl, xh)
+        grid_[xm][yh] = roughen(grid_[xm][yh], xl, xh)
+        grid_[xl][ym] = roughen(grid_[xl][ym], yl, yh)
+        grid_[xh][ym] = roughen(grid_[xh][ym], yl, yh)
+        generate(xl, yl, xm, ym)
+        generate(xm, yl, xh, ym)
+        generate(xl, ym, xm, yh)
+        generate(xm, ym, xh, yh)
+    }
+
+
+    /**
+     * Dump out as a CSV
+     */
+    fun printAsCSV() {
+        for (floats in grid_) {
+            for (j in grid_[0].indices) {
+                print(floats[j])
+                print(",")
+            }
+            println()
+        }
+    }
+
+
+    /**
+     * Convert to a Boolean array
+     * @return the boolean array
+     */
+    fun toBooleans(): Array<BooleanArray>? {
+        val w = grid_.size
+        val h = grid_[0].size
+        val ret = Array(w) { BooleanArray(h) }
+        for (i in 0 until w) {
+            for (j in 0 until h) {
+                ret[i][j] = grid_[i][j] < 0
+            }
+        }
+        return ret
+    }
+}