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[orx-hash-grid] Tweak demo comments

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This commit is contained in:
Abe Pazos
2025-10-01 20:43:31 +02:00
parent ec37b7a1e6
commit 2b56cd5502
3 changed files with 13 additions and 9 deletions
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2
orx-hash-grid/src/jvmDemo/kotlin/DemoFilter01.kt
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@@ -9,6 +9,8 @@ import kotlin.random.Random
* - Generates 10,000 random points uniformly distributed within the drawable bounds.
* - Filters the generated points to enforce a minimum distance of 20.0 units between them.
* - Visualizes the filtered points as circles with a radius of 10.0 units on the canvas.
*
* The `filter` method is provided by `orx-hash-grid`.
*/
fun main() = application {
configure {

5
orx-hash-grid/src/jvmDemo/kotlin/DemoFilter3D01.kt
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@@ -11,10 +11,11 @@ import org.openrndr.math.Vector3
import kotlin.random.Random
/**
* This demo sets up and renders a 3D visualization of filtered random points displayed as small spheres.
* Demonstrates how to use a 3D hash-grid `filter` operation to remove points from a random 3D point-collection
* that are too close to each other. The resulting points are displayed as small spheres.
*
* The program performs the following key steps:
* - Generates 10,000 random 3D points within a ring defined by a minimum and maximum radius.
* - Generates 10,000 random 3D points located between a minimum and maximum radius.
* - Filters the points to ensure a minimum distance between any two points using a spatial hash grid.
* - Creates a small sphere mesh that will be instanced for each filtered point.
* - Sets up an orbital camera to allow viewing the 3D scene interactively.

15
orx-hash-grid/src/jvmDemo/kotlin/DemoHashGrid01.kt
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@@ -5,13 +5,15 @@ import org.openrndr.extra.noise.shapes.uniform
import kotlin.random.Random
/**
* This demo sets up an interactive graphics application with a configurable
* display window and visualization logic. It uses a `HashGrid` to manage points
* in a 2D space and randomly generates points within the drawable area. These
* points are then inserted into the grid if they satisfy certain spatial conditions.
* This demo creates a `HashGrid` to manage points in a 2D space.
* Notice the desired cell size in the HashGrid constructor.
*
* On every animation frame, it attempts to insert 100 random points into the HashGrid.
* When a HashGrid cell is free, a point is inserted.
*
* The visual output includes:
* - Rectangles representing the bounds of the cells in the grid.
* - Circles representing the generated points.
* - Rectangles representing the bounds of the occupied cells in the grid.
* - Circles representing the generated random points.
*/
fun main() = application {
configure {
@@ -33,7 +35,6 @@ fun main() = application {
drawer.fill = null
drawer.stroke = ColorRGBa.WHITE
drawer.rectangles(hashGrid.cells().map { it.bounds }.toList())
drawer.fill = null
drawer.stroke = ColorRGBa.PINK
drawer.circles(hashGrid.points().map { it.first }.toList(), 36.0)
}