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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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module.ts106 linesDownload Raw Back to src
1import { fileURLToPath } from 'url';2 3import type { NormalizedOutputOptions, RenderedChunk } from 'rollup';4import { hasOwnProperty, isObject, merge } from 'smob';5 6import type { Options } from './type';7import { WorkerPool } from './worker-pool';8 9export default function terser(input: Options = {}) {10  const { maxWorkers, ...options } = input;11 12  let workerPool: WorkerPool | null | undefined;13  let numOfChunks = 0;14  let numOfWorkersUsed = 0;15 16  return {17    name: 'terser',18 19    async renderChunk(code: string, chunk: RenderedChunk, outputOptions: NormalizedOutputOptions) {20      if (!workerPool) {21        workerPool = new WorkerPool({22          filePath: fileURLToPath(import.meta.url),23          maxWorkers24        });25      }26 27      numOfChunks += 1;28 29      const defaultOptions: Options = {30        sourceMap: outputOptions.sourcemap === true || typeof outputOptions.sourcemap === 'string'31      };32 33      if (outputOptions.format === 'es') {34        defaultOptions.module = true;35      }36 37      if (outputOptions.format === 'cjs') {38        defaultOptions.toplevel = true;39      }40 41      try {42        const {43          code: result,44          nameCache,45          sourceMap46        } = await workerPool.addAsync({47          code,48          options: merge({}, options || {}, defaultOptions)49        });50 51        if (options.nameCache && nameCache) {52          let vars: Record<string, any> = {53            props: {}54          };55 56          if (hasOwnProperty(options.nameCache, 'vars') && isObject(options.nameCache.vars)) {57            vars = merge({}, options.nameCache.vars || {}, vars);58          }59 60          if (hasOwnProperty(nameCache, 'vars') && isObject(nameCache.vars)) {61            vars = merge({}, nameCache.vars, vars);62          }63 64          // eslint-disable-next-line no-param-reassign65          options.nameCache.vars = vars;66 67          let props: Record<string, any> = {};68 69          if (hasOwnProperty(options.nameCache, 'props') && isObject(options.nameCache.props)) {70            // eslint-disable-next-line prefer-destructuring71            props = options.nameCache.props;72          }73 74          if (hasOwnProperty(nameCache, 'props') && isObject(nameCache.props)) {75            props = merge({}, nameCache.props, props);76          }77 78          // eslint-disable-next-line no-param-reassign79          options.nameCache.props = props;80        }81 82        if ((!!defaultOptions.sourceMap || !!options.sourceMap) && isObject(sourceMap)) {83          return {84            code: result,85            map: sourceMap86          };87        }88        return result;89      } catch (e) {90        return Promise.reject(e);91      } finally {92        numOfChunks -= 1;93        if (numOfChunks === 0) {94          numOfWorkersUsed = workerPool.numWorkers;95          workerPool.close();96          workerPool = null;97        }98      }99    },100 101    get numOfWorkersUsed() {102      return numOfWorkersUsed;103    }104  };105}106 
Brunobkr/llama.cpp_AlgMor24_github · Team Ai