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 {range as sequence} from "d3-array";2import {initRange} from "./init.js";3import ordinal from "./ordinal.js";4 5export default function band() {6 var scale = ordinal().unknown(undefined),7 domain = scale.domain,8 ordinalRange = scale.range,9 r0 = 0,10 r1 = 1,11 step,12 bandwidth,13 round = false,14 paddingInner = 0,15 paddingOuter = 0,16 align = 0.5;17 18 delete scale.unknown;19 20 function rescale() {21 var n = domain().length,22 reverse = r1 < r0,23 start = reverse ? r1 : r0,24 stop = reverse ? r0 : r1;25 step = (stop - start) / Math.max(1, n - paddingInner + paddingOuter * 2);26 if (round) step = Math.floor(step);27 start += (stop - start - step * (n - paddingInner)) * align;28 bandwidth = step * (1 - paddingInner);29 if (round) start = Math.round(start), bandwidth = Math.round(bandwidth);30 var values = sequence(n).map(function(i) { return start + step * i; });31 return ordinalRange(reverse ? values.reverse() : values);32 }33 34 scale.domain = function(_) {35 return arguments.length ? (domain(_), rescale()) : domain();36 };37 38 scale.range = function(_) {39 return arguments.length ? ([r0, r1] = _, r0 = +r0, r1 = +r1, rescale()) : [r0, r1];40 };41 42 scale.rangeRound = function(_) {43 return [r0, r1] = _, r0 = +r0, r1 = +r1, round = true, rescale();44 };45 46 scale.bandwidth = function() {47 return bandwidth;48 };49 50 scale.step = function() {51 return step;52 };53 54 scale.round = function(_) {55 return arguments.length ? (round = !!_, rescale()) : round;56 };57 58 scale.padding = function(_) {59 return arguments.length ? (paddingInner = Math.min(1, paddingOuter = +_), rescale()) : paddingInner;60 };61 62 scale.paddingInner = function(_) {63 return arguments.length ? (paddingInner = Math.min(1, _), rescale()) : paddingInner;64 };65 66 scale.paddingOuter = function(_) {67 return arguments.length ? (paddingOuter = +_, rescale()) : paddingOuter;68 };69 70 scale.align = function(_) {71 return arguments.length ? (align = Math.max(0, Math.min(1, _)), rescale()) : align;72 };73 74 scale.copy = function() {75 return band(domain(), [r0, r1])76 .round(round)77 .paddingInner(paddingInner)78 .paddingOuter(paddingOuter)79 .align(align);80 };81 82 return initRange.apply(rescale(), arguments);83}84 85function pointish(scale) {86 var copy = scale.copy;87 88 scale.padding = scale.paddingOuter;89 delete scale.paddingInner;90 delete scale.paddingOuter;91 92 scale.copy = function() {93 return pointish(copy());94 };95 96 return scale;97}98 99export function point() {100 return pointish(band.apply(null, arguments).paddingInner(1));101}102 