Most other Blue Noise generator implementations are optimized for speed. Many explanations of the Cluster and Void algorithm I found online were overly complicated or focusing on details that do no help the initial understanding.

My implementation is optimized for readability and understanding.

I find it very inspiring see an algorithm broken down to its most essential steps.

For one in order to better understand the algorithm itself but also for transfering its key concepts to other tasks, for example when designing my own algorithms. Eg in my rather high level python/numpy implementation one can easily understand that the two phases of the algorithm (phase 2 and phase 3) have no data dependency between each other and can therefor be parallelized.

Additionally the numpy implementation demonstrates how the application of high level concepts like rank-polymorphism and convolution allow to express a sophisticated algorithm in only a few lines of code.

Hope you like it.