[orx-noise] Add hash functions

orx-composition/src/commonMain/kotlin/Composition.kt

@@ -186,11 +186,16 @@ class ShapeNode(var shape: Shape) : CompositionNode() {
         }
     }
 
+
     /**
      * apply transforms of all ancestor nodes and return a new detached shape node with identity transform and transformed Shape
+     * @param composition use viewport transform
      */
-    fun flatten(): ShapeNode {
-        return ShapeNode(shape.transform(transform(this))).also {
+    fun flatten(composition: Composition? = null): ShapeNode {
+
+        val viewport = composition?.calculateViewportTransform() ?: Matrix44.IDENTITY
+
+        return ShapeNode(shape.transform(viewport * transform(this))).also {
             it.id = id
             it.parent = parent
             it.style = effectiveStyle

orx-envelopes/src/jvmDemo/kotlin/DemoADSRTracker02.kt

@@ -1,7 +1,7 @@
 import org.openrndr.application
 import org.openrndr.draw.loadFont
 import org.openrndr.extra.envelopes.ADSRTracker
-import org.openrndr.extra.noise.uniform
+import org.openrndr.extra.noise.shapes.uniform
 import org.openrndr.shape.Rectangle
 
 fun main() {
@@ -15,13 +15,13 @@ fun main() {
 
             keyboard.keyDown.listen {
                 if (it.name == "t") {
-                    val center = drawer.bounds.uniform(distanceToEdge = 30.0)
+                    val center = drawer.bounds.offsetEdges(-30.0).uniform()
                     tracker.triggerOn(0) { time, value, position ->
                         drawer.circle(center, value * 100.0)
                     }
                 }
                 if (it.name == "r") {
-                    val center = drawer.bounds.uniform(distanceToEdge = 30.0)
+                    val center = drawer.bounds.offsetEdges(-30.0).uniform()
                     tracker.triggerOn(1) { time, value, position ->
                         val r = Rectangle.fromCenter(center, width = value * 100.0, height = value * 100.0)
                         drawer.rectangle(r)

orx-expression-evaluator-typed/src/jvmTest/kotlin/typed/TestTypedCompiledExpression.kt

@@ -1,7 +1,7 @@
 package typed
 
 import org.openrndr.extra.expressions.typed.compileFunction1OrNull
-import org.openrndr.extra.noise.uniform
+import org.openrndr.extra.noise.shapes.uniform
 import org.openrndr.math.Vector2
 import kotlin.test.Test
 import kotlin.test.assertEquals

orx-hash-grid/src/jvmDemo/kotlin/DemoFilter01.kt

@@ -1,6 +1,6 @@
 import org.openrndr.application
 import org.openrndr.extra.hashgrid.filter
-import org.openrndr.extra.noise.uniform
+import org.openrndr.extra.noise.shapes.uniform
 import kotlin.random.Random
 
 fun main() {

orx-hash-grid/src/jvmDemo/kotlin/DemoHashGrid01.kt

@@ -1,7 +1,7 @@
 import org.openrndr.application
 import org.openrndr.color.ColorRGBa
 import org.openrndr.extra.hashgrid.HashGrid
-import org.openrndr.extra.noise.uniform
+import org.openrndr.extra.noise.shapes.uniform
 import kotlin.random.Random
 
 fun main() {

orx-mesh-generators/src/commonMain/kotlin/mesh/Box.kt

@@ -0,0 +1,72 @@
+package org.openrndr.extra.mesh.generators
+
+import org.openrndr.extra.mesh.*
+import org.openrndr.math.Vector2
+import org.openrndr.math.Vector3
+
+class MeshBuilder {
+    val vertexData = MutableVertexData()
+    val polygons = mutableListOf<IndexedPolygon>()
+    val mesh = MutableMeshData(vertexData, polygons)
+}
+
+fun box(): MeshData {
+
+    val positions = listOf(
+        Vector3(-0.5, -0.5, -0.5),
+        Vector3(0.5, -0.5, -0.5),
+        Vector3(-0.5, 0.5, -0.5),
+        Vector3(0.5, 0.5, -0.5),
+
+        Vector3(-0.5, -0.5, 0.5),
+        Vector3(0.5, -0.5, 0.5),
+        Vector3(-0.5, 0.5, 0.5),
+        Vector3(0.5, 0.5, 0.5),
+    )
+
+    val textureCoords = listOf(
+        Vector2(0.0, 0.0),
+        Vector2(1.0, 0.0),
+        Vector2(0.0, 1.0),
+        Vector2(1.0, 1.0),
+    )
+
+    val normals = listOf(
+        Vector3(-1.0, 0.0, 0.0),
+        Vector3(1.0, 0.0, 0.0),
+        Vector3(0.0, -1.0, 0.0),
+        Vector3(0.0, 1.0, 0.0),
+        Vector3(0.0, 0.0, -1.0),
+        Vector3(0.0, 0.0, 1.0)
+    )
+
+    val polygons = listOf(
+        // -x
+        IndexedPolygon(
+            positions = listOf(0, 2, 4, 6),
+            textureCoords = listOf(0, 1, 3, 2),
+            colors = emptyList(),
+            normals = listOf(0, 0, 0, 0),
+            tangents = listOf(5, 5, 5, 5),
+            bitangents = listOf(3, 3, 3, 3)
+        ),
+        // +x
+        IndexedPolygon(
+            positions = listOf(1, 3, 5, 7),
+            textureCoords = listOf(0, 1, 3, 2),
+            colors = emptyList(),
+            normals = listOf(1, 1, 1, 1),
+            tangents = listOf(4, 4, 4, 4),
+            bitangents = listOf(3, 3, 3, 3)
+        )
+    )
+    return MeshData(
+        VertexData(
+            positions = positions,
+            textureCoords = textureCoords,
+            normals = normals,
+            tangents = normals,
+            bitangents = normals
+        ), polygons
+    )
+}

orx-mesh-generators/src/jvmDemo/kotlin/decal/DemoDecal01.kt

@@ -13,6 +13,7 @@ import java.io.File
 
 /**
  * Demonstrate decal generator as an object slicer
+ * @see <img src="https://raw.githubusercontent.com/openrndr/orx/media/orx-mesh-generators/images/decal-DemoDecal01Kt.png">
  */
 fun main() {
     application {

orx-mesh-generators/src/jvmDemo/kotlin/decal/DemoDecal02.kt

@@ -15,6 +15,7 @@ import kotlin.math.PI
 
 /**
  * Demonstrate decal generation and rendering
+ * @see <img src="https://raw.githubusercontent.com/openrndr/orx/media/orx-mesh-generators/images/decal-DemoDecal02Kt.png">
  */
 fun main() {
     application {

orx-mesh-generators/src/jvmDemo/kotlin/tangents/DemoTangents01.kt

@@ -0,0 +1,39 @@
+package tangents
+
+import org.openrndr.application
+import org.openrndr.draw.DrawPrimitive
+import org.openrndr.draw.shadeStyle
+import org.openrndr.extra.camera.Orbital
+import org.openrndr.extra.mesh.toVertexBuffer
+import org.openrndr.extra.meshgenerators.tangents.estimateTangents
+import org.openrndr.extra.objloader.loadOBJMeshData
+import org.openrndr.math.Vector3
+import java.io.File
+
+fun main() = application {
+    program {
+        val obj = loadOBJMeshData(File("demo-data/obj-models/suzanne/Suzanne.obj")).toMeshData().triangulate()
+        val tangentObj = obj.estimateTangents()
+
+        val objVB = tangentObj.toVertexBuffer()
+
+        extend(Orbital()) {
+            eye = Vector3(0.0, 0.0, 2.0)
+        }
+        extend {
+            drawer.shadeStyle = shadeStyle {
+                fragmentTransform = """
+                    vec3 viewTangent = (u_viewNormalMatrix * u_modelNormalMatrix * vec4(va_tangent, 0.0)).xyz;
+                    vec3 viewBitangent = (u_viewNormalMatrix * u_modelNormalMatrix * vec4(va_bitangent, 0.0)).xyz;
+                    float c = cos(100.0*dot(v_worldPosition, va_normal)) * 0.5 + 0.5;
+                    
+                    //x_fill.rgb = normalize(viewTangent)*0.5+0.5;
+                     x_fill.rgb = vec3(c); 
+                     """.trimIndent()
+
+            }
+
+            drawer.vertexBuffer(objVB, DrawPrimitive.TRIANGLES)
+        }
+    }
+}

orx-mesh-noise/build.gradle.kts

@@ -10,6 +10,7 @@ kotlin {
                 api(libs.openrndr.math)
                 api(libs.openrndr.shape)
                 api(project(":orx-mesh"))
+                implementation(project(":orx-noise"))
             }
         }
 

orx-mesh-noise/src/commonMain/kotlin/MeshNoise.kt

@@ -3,6 +3,9 @@ package org.openrndr.extra.mesh.noise
 import org.openrndr.extra.mesh.IIndexedPolygon
 import org.openrndr.extra.mesh.IMeshData
 import org.openrndr.extra.mesh.IVertexData
+import org.openrndr.extra.noise.fhash1D
+import org.openrndr.extra.noise.uhash11
+import org.openrndr.extra.noise.uhash1D
 import org.openrndr.math.Vector3
 import kotlin.math.sqrt
 import kotlin.random.Random
@@ -20,6 +23,23 @@ fun uniformBarycentric(random: Random = Random.Default): Vector3 {
     return Vector3(b0, b1, 1.0 - b0 - b1)
 }
 
+/**
+ * Generate a uniformly distributed barycentric coordinate
+ * @param random a random number generator
+ */
+fun hashBarycentric(seed: Int, x: Int): Vector3 {
+    val u = fhash1D(seed, x)
+    val v = fhash1D(seed, u.toRawBits().toInt() - x)
+
+
+
+    val su0 = sqrt(u)
+    val b0 = 1.0 - su0
+    val b1 = v * su0
+    return Vector3(b0, b1, 1.0 - b0 - b1)
+}
+
+
 /**
  * Generate a uniformly distributed point that lies inside this [IIndexedPolygon]
  * @param vertexData vertex data used to resolve positions
@@ -33,6 +53,19 @@ fun IIndexedPolygon.uniform(vertexData: IVertexData, random: Random = Random.Def
     return x[0] * b.x + x[1] * b.y + x[2] * b.z
 }
 
+/**
+ * Generate a uniformly distributed point that lies inside this [IIndexedPolygon]
+ * @param vertexData vertex data used to resolve positions
+ * @param random a random number generator
+ */
+fun IIndexedPolygon.hash(vertexData: IVertexData, seed:Int, x: Int): Vector3 {
+    require(positions.size == 3) { "polygon must be a triangle"}
+
+    val s = vertexData.positions.slice(positions)
+    val b = hashBarycentric(seed, x)
+    return s[0] * b.x + s[1] * b.y + s[2] * b.z
+}
+
 internal fun IIndexedPolygon.area(vertexData: IVertexData): Double {
     require(positions.size == 3) { "polygon must be a triangle"}
     val x = vertexData.positions.slice(positions)
@@ -63,3 +96,26 @@ fun IMeshData.uniform(count: Int, random: Random = Random.Default): List<Vector3
     }
     return result
 }
+
+/**
+ * Generate points on the surface described by the mesh data
+ */
+fun IMeshData.hash(count: Int, seed:Int, x: Int): List<Vector3> {
+    val triangulated = triangulate()
+    val result = mutableListOf<Vector3>()
+    val totalArea = triangulated.polygons.sumOf { it.area(vertexData) }
+    val randoms = (0 until count).map {
+        Pair(x + it, fhash1D(seed, x + it) * totalArea)
+    }.sortedBy { it.second }
+
+    var idx = 0
+    var sum = 0.0
+    for (t in triangulated.polygons) {
+        sum += t.area(vertexData)
+        while (idx <= randoms.lastIndex && sum > randoms[idx].second) {
+            result.add(t.hash(vertexData, seed xor 0x7f7f7f, randoms[idx].first))
+            idx++
+        }
+    }
+    return result
+}

orx-mesh-noise/src/jvmDemo/kotlin/DemoMeshNoise02.kt

@@ -0,0 +1,48 @@
+import org.openrndr.application
+import org.openrndr.draw.DrawPrimitive
+import org.openrndr.draw.isolated
+import org.openrndr.draw.shadeStyle
+import org.openrndr.extra.camera.Orbital
+import org.openrndr.extra.mesh.noise.hash
+import org.openrndr.extra.objloader.loadOBJMeshData
+import org.openrndr.extra.mesh.noise.uniform
+import org.openrndr.extra.meshgenerators.sphereMesh
+import org.openrndr.math.Vector3
+import java.io.File
+import kotlin.math.cos
+import kotlin.random.Random
+
+/**
+ * Demonstrate uniform point on mesh generation using hash functions
+ */
+fun main() {
+    application {
+        configure {
+            width = 720
+            height = 720
+        }
+        program {
+            val mesh = loadOBJMeshData(File("demo-data/obj-models/suzanne/Suzanne.obj")).toMeshData()
+
+            val sphere = sphereMesh(radius = 0.01)
+            extend(Orbital()) {
+                eye = Vector3(0.0, 0.0, 2.0)
+            }
+            extend {
+
+                val points = mesh.hash((1000 + (cos(seconds)*0.5+0.5)*9000).toInt(), 808, (seconds*10000).toInt())
+
+
+                drawer.shadeStyle = shadeStyle {
+                    fragmentTransform = "x_fill = vec4(v_viewNormal*0.5+0.5, 1.0);"
+                }
+                for (point in points) {
+                    drawer.isolated {
+                        drawer.translate(point)
+                        drawer.vertexBuffer(sphere, DrawPrimitive.TRIANGLES)
+                    }
+                }
+            }
+        }
+    }
+}

orx-noise/src/commonMain/kotlin/ShapeNoise.kt

@@ -1,35 +1,25 @@
 package org.openrndr.extra.noise
 
 import org.openrndr.extra.hashgrid.HashGrid
+import org.openrndr.extra.noise.shapes.hash
+import org.openrndr.extra.noise.shapes.uniform
 import org.openrndr.math.Vector2
 import org.openrndr.shape.*
 import kotlin.random.Random
 
 /**
- * Returns a random [Vector2] point located inside a [ShapeProvider] while
- * maintaining a distance to the edge of the shape of [distanceToEdge] units.
+ * Generates specified amount of random points that lie inside the [Shape].
+ *
+ * @param pointCount The number of points to generate.
+ * @param random The [Random] number generator to use, defaults to [Random.Default].
  */
-fun ShapeProvider.uniform(distanceToEdge: Double = 0.0, random: Random = Random.Default): Vector2 {
-    val shape = shape
-    require(!shape.empty)
-    var attempts = 0
-    val innerBounds = shape.bounds.offsetEdges(-distanceToEdge.coerceAtLeast(0.0))
-    return Vector2.uniformSequence(innerBounds, random).first {
-        attempts++
-        require(attempts < 100)
-        if (distanceToEdge == 0.0) {
-            shape.contains(it)
-        } else {
-            shape.contains(it) && shape.contours.minOf { c -> c.nearest(it).position.distanceTo(it) } > distanceToEdge
-        }
-    }
+fun ShapeProvider.uniform(pointCount: Int, random: Random = Random.Default): List<Vector2> {
+    return shape.triangulation.uniform(pointCount, random)
 }
 
-/**
- * Generate [sampleCount] uniformly distributed points inside the area of [ShapeProvider]
- */
-fun ShapeProvider.uniform(sampleCount: Int, random: Random = Random.Default) : List<Vector2> = shape.triangulation.uniform(sampleCount, random)
-
+fun ShapeProvider.hash(pointCount: Int, seed: Int, x: Int): List<Vector2> {
+    return shape.triangulation.hash(pointCount, seed, x)
+}
 
 /**
  * Returns a list of pairs in which the first component is a radius and the

orx-noise/src/commonMain/kotlin/TriangleNoise.kt

@@ -1,26 +0,0 @@
-package org.openrndr.extra.noise
-
-import org.openrndr.math.Vector2
-import org.openrndr.shape.Triangle
-import kotlin.random.Random
-
-/**
- * Generate [count] uniform samples from a list of [Triangle]s
- */
-fun List<Triangle>.uniform(count: Int, random: Random = Random.Default): List<Vector2> {
-    val totalArea = this.sumOf { it.area }
-    val randoms = (0 until count).map {
-        Double.uniform(0.0, totalArea, random = random)
-    }.sorted()
-    val result = mutableListOf<Vector2>()
-    var idx = 0
-    var sum = 0.0
-    for (t in this) {
-        sum += t.area
-        while (idx <= randoms.lastIndex && sum > randoms[idx]) {
-            result.add(t.randomPoint(random))
-            idx++
-        }
-    }
-    return result
-}

orx-noise/src/commonMain/kotlin/UniformRandom.kt

@@ -23,6 +23,12 @@ fun Double.Companion.uniform(
 ) =
     (random.nextDouble() * (max - min)) + min
 
+fun Double.Companion.hash(
+    seed: Int, x: Int,
+    min: Double = -1.0, max: Double = 1.0
+) = fhash1D(seed, x) * (max - min) + min
+
+
 fun Vector2.Companion.uniform(
     min: Vector2 = -ONE, max: Vector2 = ONE,
     random: Random = Random.Default
@@ -32,12 +38,28 @@ fun Vector2.Companion.uniform(
         Double.uniform(min.y, max.y, random)
     )
 
+fun Vector2.Companion.hash(
+    seed: Int, x: Int,
+    min: Vector2 = -ONE, max: Vector2 = ONE
+) =
+    Vector2(
+        Double.hash(seed, x, min.x, max.x),
+        Double.hash(seed xor 0x7f7f7f7f, x, min.y, max.y)
+    )
+
 fun Vector2.Companion.uniform(
     min: Double = -1.0, max: Double = 1.0,
     random: Random = Random.Default
 ) =
     Vector2.uniform(Vector2(min, min), Vector2(max, max), random)
 
+fun Vector2.Companion.hash(
+    seed: Int, x: Int,
+    min: Double = -1.0, max: Double = 1.0,
+) =
+    Vector2.hash(seed, x, Vector2(min, min), Vector2(max, max))
+
+
 fun Vector2.Companion.uniform(
     rect: Rectangle,
     random: Random = Random.Default
@@ -78,7 +100,7 @@ fun Vector2.Companion.uniformRing(
 
     val eps = 1E-6
 
-    if ( abs(innerRadius - outerRadius) < eps) {
+    if (abs(innerRadius - outerRadius) < eps) {
         val angle = Double.uniform(-180.0, 180.0, random)
         return Polar(angle, innerRadius).cartesian
 

orx-noise/src/commonMain/kotlin/shapes/Box.kt

@@ -0,0 +1,28 @@
+package org.openrndr.extra.noise.shapes
+
+import org.openrndr.extra.noise.uhash11
+import org.openrndr.math.Vector3
+import org.openrndr.shape.Box
+import kotlin.random.Random
+
+fun Box.uniform(random: Random = Random.Default): Vector3 {
+    val x = random.nextDouble() * width + corner.x
+    val y = random.nextDouble() * height + corner.y
+    val z = random.nextDouble() * depth + corner.z
+    return Vector3(x, y ,z)
+}
+
+fun Box.hash(seed: Int, x: Int): Vector3 {
+    val ux = uhash11(seed.toUInt() + uhash11(x.toUInt()))
+    val uy = uhash11(ux + x.toUInt())
+    val uz = uhash11(uy + x.toUInt())
+
+    val fx = ux.toDouble() / UInt.MAX_VALUE.toDouble()
+    val fy = uy.toDouble() / UInt.MAX_VALUE.toDouble()
+    val fz = uz.toDouble() / UInt.MAX_VALUE.toDouble()
+
+    val x = fx * width + corner.x
+    val y = fy * height + corner.y
+    val z = fz * depth + corner.z
+    return Vector3(x, y, z)
+}

orx-noise/src/commonMain/kotlin/shapes/Circle.kt

@@ -0,0 +1,27 @@
+package org.openrndr.extra.noise.shapes
+
+import org.openrndr.extra.noise.fhash1D
+import org.openrndr.extra.noise.hash
+import org.openrndr.math.Polar
+import org.openrndr.math.Vector2
+import org.openrndr.shape.Circle
+import kotlin.math.sqrt
+import kotlin.random.Random
+
+/**
+ * Generate a uniformly distributed random point inside [Circle]
+ */
+fun Circle.hash(seed: Int, x: Int): Vector2 {
+    val r = radius * sqrt(fhash1D(seed, x))
+    val phi = 360.0 * fhash1D(seed xor 0x7f7f_7f7f, x)
+    return Polar(phi, r).cartesian + center
+}
+
+/**
+ * Generate a uniformly distributed random point inside [Circle]
+ */
+fun Circle.uniform(random: Random = Random.Default): Vector2 {
+    val r = radius * sqrt(random.nextDouble())
+    val phi = 360.0 * random.nextDouble()
+    return Polar(phi, r).cartesian + center
+}

orx-noise/src/commonMain/kotlin/shapes/Rectangle.kt

@@ -0,0 +1,24 @@
+package org.openrndr.extra.noise.shapes
+
+import org.openrndr.extra.noise.uhash11
+import org.openrndr.math.Vector2
+import org.openrndr.shape.Rectangle
+import kotlin.random.Random
+
+fun Rectangle.uniform(random: Random = Random.Default): Vector2 {
+    val x = random.nextDouble() * width + corner.x
+    val y = random.nextDouble() * height + corner.y
+    return Vector2(x, y)
+}
+
+fun Rectangle.hash(seed: Int, x: Int): Vector2 {
+    val ux = uhash11(seed.toUInt() + uhash11(x.toUInt()))
+    val uy = uhash11(ux + x.toUInt())
+
+    val fx = ux.toDouble() / UInt.MAX_VALUE.toDouble()
+    val fy = uy.toDouble() / UInt.MAX_VALUE.toDouble()
+
+    val x = fx * width + corner.x
+    val y = fy * height + corner.y
+    return Vector2(x, y)
+}

orx-noise/src/commonMain/kotlin/shapes/Triangle.kt

@@ -0,0 +1,58 @@
+package org.openrndr.extra.noise.shapes
+
+import org.openrndr.extra.noise.fhash1D
+import org.openrndr.extra.noise.uniform
+import org.openrndr.math.Vector2
+import org.openrndr.shape.Triangle
+import kotlin.random.Random
+
+/**
+ * Generate [count] uniform samples from a list of [Triangle]s
+ */
+fun List<Triangle>.uniform(count: Int, random: Random = Random.Default): List<Vector2> {
+    val totalArea = this.sumOf { it.area }
+    val randoms = (0 until count).map {
+        Double.uniform(0.0, totalArea, random = random)
+    }.sorted()
+    val result = mutableListOf<Vector2>()
+    var idx = 0
+    var sum = 0.0
+    for (t in this) {
+        sum += t.area
+        while (idx <= randoms.lastIndex && sum > randoms[idx]) {
+            result.add(t.uniform(random))
+            idx++
+        }
+    }
+    return result
+}
+
+fun List<Triangle>.hash(count: Int, seed: Int = 0, x: Int = 0): List<Vector2> {
+    val totalArea = this.sumOf { it.area }
+    val randoms = (0 until count).map {
+        Pair(x + it, fhash1D(seed, x + it) * totalArea)
+    }.sortedBy { it.second }
+    val result = mutableListOf<Vector2>()
+    var idx = 0
+    var sum = 0.0
+    for (t in this) {
+        sum += t.area
+        while (idx <= randoms.lastIndex && sum > randoms[idx].second) {
+            result.add(t.hash(seed, randoms[idx].first))
+            idx++
+        }
+    }
+    return result
+}
+
+/** Generates a random point that lies inside the [Triangle]. */
+fun Triangle.uniform(random: Random = Random.Default): Vector2 {
+    return position(random.nextDouble(), random.nextDouble())
+}
+
+
+fun Triangle.hash(seed: Int, x: Int): Vector2 {
+    val u = fhash1D(seed, x)
+    val v = fhash1D(seed, u.toRawBits().toInt() + x)
+    return position(u, v)
+}

orx-noise/src/jvmDemo/kotlin/DemoCircleHash01.kt

@@ -0,0 +1,33 @@
+import org.openrndr.application
+import org.openrndr.extra.noise.shapes.hash
+import org.openrndr.extra.noise.shapes.uniform
+import org.openrndr.shape.Circle
+import kotlin.random.Random
+
+fun main() {
+    application {
+        configure {
+            width = 720
+            height = 720
+        }
+        program {
+            extend {
+                val b = drawer.bounds
+                val b0 = b.sub(0.0, 0.0, 0.5, 1.0).offsetEdges(-10.0)
+                val b1 = b.sub(0.5, 0.0, 1.0, 1.0).offsetEdges(-10.0)
+
+                val c0 = Circle(b0.center, b0.width/2.0)
+                val c1 = Circle(b1.center, b1.width/2.0)
+
+                val r = Random(0)
+                for (i in 0 until 2000) {
+                    drawer.circle(c0.uniform(r), 2.0)
+                    drawer.circle(c1.hash(909, i),2.0)
+
+                }
+
+            }
+
+        }
+    }
+}

orx-noise/src/jvmDemo/kotlin/DemoRectangleHash01.kt

@@ -0,0 +1,29 @@
+import org.openrndr.application
+import org.openrndr.extra.noise.shapes.hash
+import org.openrndr.extra.noise.shapes.uniform
+import kotlin.random.Random
+
+fun main() {
+    application {
+        configure {
+            width = 720
+            height = 720
+        }
+        program {
+            extend {
+                val b = drawer.bounds
+                val b0 = b.sub(0.0, 0.0, 0.5, 1.0).offsetEdges(-10.0)
+                val b1 = b.sub(0.5, 0.0, 1.0, 1.0).offsetEdges(-10.0)
+
+                val r = Random(0)
+                for (i in 0 until 20000) {
+                    drawer.circle(b0.uniform(r), 2.0)
+                    drawer.circle(b1.hash(909, i),2.0)
+
+                }
+
+            }
+
+        }
+    }
+}

orx-noise/src/jvmDemo/kotlin/DemoTriangleNoise01.kt

@@ -1,8 +1,7 @@
 import org.openrndr.application
 import org.openrndr.color.ColorRGBa
-import org.openrndr.extra.noise.uniform
+import org.openrndr.extra.noise.shapes.hash
 import org.openrndr.shape.Triangle
-import kotlin.random.Random
 
 /**
  * Demonstrate the generation of uniformly distributed points inside a list of triangles
@@ -17,8 +16,10 @@ fun main() {
         program {
             val r = drawer.bounds.offsetEdges(-100.0)
             val triangle = Triangle(r.position(0.5, 0.0), r.position(0.0, 1.0), r.position(1.0, 1.0))
-            val pts = listOf(triangle).uniform(1000, Random(0))
+            //val pts = listOf(triangle).uniform(1000, Random(0))
+
             extend {
+                val pts = listOf(triangle).hash(1000, 0, (seconds*500.0).toInt())
                 drawer.clear(ColorRGBa.PINK)
                 drawer.stroke = null
                 drawer.contour(triangle.contour)

orx-shapes/src/jvmDemo/kotlin/primitives/DemoRectangleIntersection01.kt

@@ -6,6 +6,7 @@ import org.openrndr.extra.shapes.primitives.intersection
 
 /**
  * Demonstrate rectangle-rectangle intersection
+ * @see <img src="https://raw.githubusercontent.com/openrndr/orx/media/orx-shapes/images/primitives-DemoRectangleIntersection01Kt.png">
  */
 fun main() {
     application {