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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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threshold.js40 linesDownload Raw Back to src
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 
Brunobkr/llama.cpp_AlgMor24_github · Team Ai