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

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roottoolsuinode_moduleskhromadistmethodsscale.js

scale.js17 linesDownload Raw Back to methods

1/* IMPORT */2import _ from '../utils/index.js';3import Color from '../color/index.js';4import adjust from './adjust.js';5/* MAIN */6const scale = (color, channels) => {7    const ch = Color.parse(color);8    const adjustments = {};9    const delta = (amount, weight, max) => weight > 0 ? (max - amount) * weight / 100 : amount * weight / 100;10    for (const c in channels) {11        adjustments[c] = delta(ch[c], channels[c], _.channel.max[c]);12    }13    return adjust(color, adjustments);14};15/* EXPORT */16export default scale;17