Summary: Rust-based command-line tool that detects statistically significant attractor clusters and void gaps in one-dimensional integer datasets.
(Russian лягушка [lʲɪˈɡuʂkə]: frog)
Lyagushka is a Rust command-line tool inspired by *Fatum Project*'s '[Zhaba](https://gist.github.com/randogoth/ab5ab9e8665303be176f16241e7b26b5)' algorithm (Russian 'жаба': toad) and expands upon it for more versatility.
It is an algorithm that analyzes a one-dimensional dataset of integers to identify clusters of closely grouped "attractor" points and significant "void" gaps between these clusters. It calculates z-scores for each cluster or gap to measure their statistical significance relative to the dataset's mean density and distance between points. The analysis results, including attractors, voids, and their z-scores, are output as a JSON string.
