37 lines
1.2 KiB
Kotlin
37 lines
1.2 KiB
Kotlin
import org.openrndr.application
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import org.openrndr.extra.kdtree.kdTree
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import org.openrndr.math.Vector2
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/**
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* Initializes an interactive graphical application that displays 1000 randomly distributed 2D points
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* on a canvas of dimensions 1280x720. The points are organized into a KD-tree for efficient spatial querying.
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*
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* Key functionality:
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* - Displays the points as small circles on the canvas.
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* - Dynamically highlights the nearest point to the cursor's position by drawing a larger circle around it.
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*
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* Highlights:
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* - KD-tree structure enables efficient nearest-neighbor searches.
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* - The nearest point to the cursor is determined and visually emphasized in real-time as the cursor moves.
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*/
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fun main() {
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application {
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configure {
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width = 1280
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height = 720
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}
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program {
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val points = MutableList(1000) {
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Vector2(Math.random() * width, Math.random() * height)
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}
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val tree = points.kdTree()
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extend {
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drawer.circles(points, 5.0)
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val nearest = tree.findNearest(mouse.position)
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nearest?.let {
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drawer.circle(it.x, it.y, 20.0)
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}
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}
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}
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}
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} |