Brunobkr/llama.cpp_AlgMor24_github
ΩFFFΣLLIa • llama.cpp • AlgMor24 ██████╗ ███████╗███████╗███████╗██╗ ██╗ ██╗ █████╗ ██╔═══██╗██╔════╝██╔════╝██╔════╝██║ ██║ ██║██╔══██╗ ██║ ██║█████╗ █████╗ █████╗ ██║ ██║ ██║███████║ ██║ ██║██╔══╝ ██╔══╝ ██╔══╝ ██║ ██║ ██║██╔══██║ ╚██████╔╝██║ ██║ ███████╗███████╗███████╗██║██║ ██║ ╚═════╝ ╚═╝ ╚═╝ ╚══════╝╚══════╝╚══════╝╚═╝╚═╝ ╚═╝ High-Performance LLM / VLM Inference & Autonomous Agentic Ecosystem… See the full description on the dataset page: https://huggingface.co/datasets/Brunobkr/llama.cpp_AlgMor24_github.
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1import Quad from "./quad.js";2 3export default function(callback) {4 var quads = [], q, node = this._root, child, x0, y0, x1, y1;5 if (node) quads.push(new Quad(node, this._x0, this._y0, this._x1, this._y1));6 while (q = quads.pop()) {7 if (!callback(node = q.node, x0 = q.x0, y0 = q.y0, x1 = q.x1, y1 = q.y1) && node.length) {8 var xm = (x0 + x1) / 2, ym = (y0 + y1) / 2;9 if (child = node[3]) quads.push(new Quad(child, xm, ym, x1, y1));10 if (child = node[2]) quads.push(new Quad(child, x0, ym, xm, y1));11 if (child = node[1]) quads.push(new Quad(child, xm, y0, x1, ym));12 if (child = node[0]) quads.push(new Quad(child, x0, y0, xm, ym));13 }14 }15 return this;16}17 