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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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ordinal.js47 linesDownload Raw Back to src
1import {InternMap} from "d3-array";2import {initRange} from "./init.js";3 4export const implicit = Symbol("implicit");5 6export default function ordinal() {7  var index = new InternMap(),8      domain = [],9      range = [],10      unknown = implicit;11 12  function scale(d) {13    let i = index.get(d);14    if (i === undefined) {15      if (unknown !== implicit) return unknown;16      index.set(d, i = domain.push(d) - 1);17    }18    return range[i % range.length];19  }20 21  scale.domain = function(_) {22    if (!arguments.length) return domain.slice();23    domain = [], index = new InternMap();24    for (const value of _) {25      if (index.has(value)) continue;26      index.set(value, domain.push(value) - 1);27    }28    return scale;29  };30 31  scale.range = function(_) {32    return arguments.length ? (range = Array.from(_), scale) : range.slice();33  };34 35  scale.unknown = function(_) {36    return arguments.length ? (unknown = _, scale) : unknown;37  };38 39  scale.copy = function() {40    return ordinal(domain, range).unknown(unknown);41  };42 43  initRange.apply(scale, arguments);44 45  return scale;46}47