[orx-noise] Add demos and extensions for uniform simplex sampling

orx-noise/src/jvmDemo/kotlin/simplexrange/DemoSimplexUniform01.kt

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+package simplexrange
+
+import org.openrndr.application
+import org.openrndr.color.ColorRGBa
+import org.openrndr.draw.isolated
+import kotlin.random.Random
+import org.openrndr.extra.noise.simplexrange.uniformSimplex
+import org.openrndr.math.Polar
+import org.openrndr.math.Vector2
+import kotlin.math.cos
+import kotlin.math.floor
+
+/**
+ * This demo creates a dynamic graphical output utilizing simplex and
+ * linear interpolation-based color ranges.
+ *
+ * Functionalities:
+ * - Defines a list of base colors converted to LAB color space for smooth interpolation.
+ * - Constructs a 3D simplex range and a 2D linear range for color sampling.
+ * - Randomly populates two sections of the screen with rectangles filled with colors
+ *   sampled from simplex and linear ranges respectively.
+ * - Draws a vertical divider line in the middle of the application window.
+ */
+fun main() {
+    application {
+        configure {
+            width = 720
+            height = 720
+        }
+        program {
+            extend {
+                val positions = (0 until 3).map { Polar((30.0 + it * 120.0), 180.0).cartesian }
+                val colors = listOf(ColorRGBa.PINK, ColorRGBa.RED, ColorRGBa.BLUE).map { it.toLABa() }
+                val freq = 1.0
+
+                drawer.stroke = null
+
+                val power = cos(floor(seconds*freq)/freq) *16.0 + 16.0
+                drawer.isolated {
+                    drawer.translate(drawer.bounds.position(0.25,0.25) + Vector2(0.0, 40.0))
+                    val rp = Random((seconds * freq).toInt())
+                    val rc = Random((seconds * freq).toInt())
+                    for (i in 0 until 32 * 32) {
+                        drawer.fill = colors.uniformSimplex(rc, 1, power).toRGBa()
+                        drawer.circle(positions.uniformSimplex(rp, 1, power), 2.0)
+                    }
+                }
+                drawer.isolated {
+                    drawer.translate(drawer.bounds.position(0.75,0.75) + Vector2(0.0, 40.0))
+                    val rp = Random((seconds * freq).toInt())
+                    val rc = Random((seconds * freq).toInt())
+                    for (i in 0 until 32 * 32) {
+                        drawer.fill = colors.uniformSimplex(rc, 2, power).toRGBa()
+                        drawer.circle(positions.uniformSimplex(rp, 2, power), 2.0)
+                    }
+                }
+
+
+                drawer.isolated {
+                    drawer.stroke = null
+                    val rc = Random((seconds * freq).toInt())
+                    drawer.translate(drawer.bounds.position(0.5,0.0) + Vector2(20.0, 20.0))
+
+                    for (i in 0 until 32 * 32) {
+                        val x = i.mod(32)
+                        val y = i / 32
+                        drawer.fill = colors.uniformSimplex(rc, 1, power).toRGBa()
+                        drawer.rectangle(x * 10.0, y * 10.0, 10.0, 10.0)
+                    }
+
+                }
+
+                drawer.isolated {
+                    drawer.stroke = null
+                    val rc = Random((seconds * freq).toInt())
+
+                    drawer.translate(drawer.bounds.position(0.0,0.5) + Vector2(20.0, 20.0))
+
+                    for (i in 0 until 32 * 32) {
+                        val x = i.mod(32)
+                        val y = i / 32
+                        drawer.fill = colors.uniformSimplex(rc, 2, power).toRGBa()
+                        drawer.rectangle(x * 10.0, y * 10.0, 10.0, 10.0)
+                    }
+
+                }
+
+            }
+        }
+    }
+}