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 {ascending, bisect, quantileSorted as threshold} from "d3-array";2import {initRange} from "./init.js";3 4export default function quantile() {5 var domain = [],6 range = [],7 thresholds = [],8 unknown;9 10 function rescale() {11 var i = 0, n = Math.max(1, range.length);12 thresholds = new Array(n - 1);13 while (++i < n) thresholds[i - 1] = threshold(domain, i / n);14 return scale;15 }16 17 function scale(x) {18 return x == null || isNaN(x = +x) ? unknown : range[bisect(thresholds, x)];19 }20 21 scale.invertExtent = function(y) {22 var i = range.indexOf(y);23 return i < 0 ? [NaN, NaN] : [24 i > 0 ? thresholds[i - 1] : domain[0],25 i < thresholds.length ? thresholds[i] : domain[domain.length - 1]26 ];27 };28 29 scale.domain = function(_) {30 if (!arguments.length) return domain.slice();31 domain = [];32 for (let d of _) if (d != null && !isNaN(d = +d)) domain.push(d);33 domain.sort(ascending);34 return rescale();35 };36 37 scale.range = function(_) {38 return arguments.length ? (range = Array.from(_), rescale()) : range.slice();39 };40 41 scale.unknown = function(_) {42 return arguments.length ? (unknown = _, scale) : unknown;43 };44 45 scale.quantiles = function() {46 return thresholds.slice();47 };48 49 scale.copy = function() {50 return quantile()51 .domain(domain)52 .range(range)53 .unknown(unknown);54 };55 56 return initRange.apply(scale, arguments);57}58 