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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
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identity.js29 linesDownload Raw Back to src
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 
Brunobkr/llama.cpp_AlgMor24_github · Team Ai