Team Ai
Datasetpublic

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.

sourceHugging Faceupdated 2mo agoView on Hugging Face
0likes3.1kdownloads
band.js102 linesDownload Raw Back to src
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 
Brunobkr/llama.cpp_AlgMor24_github · Team Ai