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 {linearish} from "./linear.js";2import number from "./number.js";3 4export default function identity(domain) {5 var unknown;6 7 function scale(x) {8 return x == null || isNaN(x = +x) ? unknown : x;9 }10 11 scale.invert = scale;12 13 scale.domain = scale.range = function(_) {14 return arguments.length ? (domain = Array.from(_, number), scale) : domain.slice();15 };16 17 scale.unknown = function(_) {18 return arguments.length ? (unknown = _, scale) : unknown;19 };20 21 scale.copy = function() {22 return identity(domain).unknown(unknown);23 };24 25 domain = arguments.length ? Array.from(domain, number) : [0, 1];26 27 return linearish(scale);28}29 