add demos to README.md
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@@ -68,16 +68,39 @@ val hashGrid = points.hashGrid(20.0)
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<!-- __demos__ -->
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## Demos
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### DemoFilter01
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[source code](src/jvmDemo/kotlin/DemoFilter01.kt)
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The program performs the following steps:
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- Generates 10,000 random points uniformly distributed within the drawable bounds.
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- Filters the generated points to enforce a minimum distance of 20.0 units between them.
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- Visualizes the filtered points as circles with a radius of 10.0 units on the canvas.
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### DemoFilter3D01
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[source code](src/jvmDemo/kotlin/DemoFilter3D01.kt)
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[source code](src/jvmDemo/kotlin/DemoFilter01.kt)
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### DemoFilter3D01
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This demo sets up and renders a 3D visualization of filtered random points displayed as small spheres.
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The program performs the following key steps:
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- Generates 10,000 random 3D points within a ring defined by a minimum and maximum radius.
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- Filters the points to ensure a minimum distance between any two points using a spatial hash grid.
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- Creates a small sphere mesh that will be instanced for each filtered point.
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- Sets up an orbital camera to allow viewing the 3D scene interactively.
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- Renders the filtered points by translating the sphere mesh to each point's position and applying a shader that modifies the fragment color based on the view normal.
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### DemoHashGrid01
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[source code](src/jvmDemo/kotlin/DemoHashGrid01.kt)
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[source code](src/jvmDemo/kotlin/DemoFilter3D01.kt)
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### DemoHashGrid01
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This demo sets up an interactive graphics application with a configurable
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display window and visualization logic. It uses a `HashGrid` to manage points
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in a 2D space and randomly generates points within the drawable area. These
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points are then inserted into the grid if they satisfy certain spatial conditions.
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The visual output includes:
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- Rectangles representing the bounds of the cells in the grid.
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- Circles representing the generated points.
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[source code](src/jvmDemo/kotlin/DemoHashGrid01.kt)
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