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 {bisect} from "d3-array";2import {initRange} from "./init.js";3 4export default function threshold() {5 var domain = [0.5],6 range = [0, 1],7 unknown,8 n = 1;9 10 function scale(x) {11 return x != null && x <= x ? range[bisect(domain, x, 0, n)] : unknown;12 }13 14 scale.domain = function(_) {15 return arguments.length ? (domain = Array.from(_), n = Math.min(domain.length, range.length - 1), scale) : domain.slice();16 };17 18 scale.range = function(_) {19 return arguments.length ? (range = Array.from(_), n = Math.min(domain.length, range.length - 1), scale) : range.slice();20 };21 22 scale.invertExtent = function(y) {23 var i = range.indexOf(y);24 return [domain[i - 1], domain[i]];25 };26 27 scale.unknown = function(_) {28 return arguments.length ? (unknown = _, scale) : unknown;29 };30 31 scale.copy = function() {32 return threshold()33 .domain(domain)34 .range(range)35 .unknown(unknown);36 };37 38 return initRange.apply(scale, arguments);39}40 