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Top 6 Examples of "quick-lru in functional component" in JavaScript

Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'quick-lru' in functional components in JavaScript. Our advanced machine learning engine meticulously scans each line of code, cross-referencing millions of open source libraries to ensure your implementation is not just functional, but also robust and secure. Elevate your React applications to new heights by mastering the art of handling side effects, API calls, and asynchronous operations with confidence and precision.

import {} from './field_types'
import type {
  PointFeature,
  PointFeatureWithId,
  Filter,
  MediaArray
} from '../types'

const CACHE_SIZE = 5000

export const flattenFeature: (feature: PointFeature) => PointFeature = mem(
  f => {
    if (!f.properties) return f
    return { ...f, properties: flatten(f.properties) }
  },
  { cache: new QuickLRU({ maxSize: CACHE_SIZE }) }
)

export const addFeatureId: (
  feature: PointFeature,
  idx: number
  // $FlowFixMe
) => PointFeatureWithId = mem(
  (f, i) => {
    if (f.id !== null && f.id !== undefined) return f
    return { ...f, id: i }
  },
  {
    cache: new QuickLRU({ maxSize: CACHE_SIZE })
  }
)
// Constants
export const baseUrl = "https://api.jikan.moe/v3";
export const queue = new PQueue({ concurrency: 2 });

// Custom http client
const http = got.extend({
  baseUrl,
  headers: {
    "User-Agent": `${pkg.name} / ${pkg.version} (${pkg.repository.url})`
  },
  json: true
});

// Memoized http client
export const api = PMemoize(http, { cache: new LRU({ maxSize: 1000 }) });

// Fast JSON logger
export const Logger = pino({
  name: "jikants",
  prettyPrint: true
});
sourceMaps = true,
  ...rest
}: any = {}) => ({
  extensions,
  plugins: [],
  sourceMaps: sourcemap && sourcemaps && sourceMap && sourceMaps,
  ...rest,
  caller: {
    name: "rollup-plugin-babel",
    supportsStaticESM: true,
    supportsDynamicImport: true,
    ...rest.caller
  }
});

const lru = new QuickLRU<
  string,
  { code: string; promise: Promise<{ code: string; map: any }> }
>({
  maxSize: 1000
});

let hasher: (str: string) => string;

export let hasherPromise = initHasher().then(({ h64 }: any) => {
  hasher = h64;
});

let rollupPluginBabel = (pluginOptions: any): Plugin => {
  const { exclude, extensions, include, ...babelOptions } = unpackOptions(
    pluginOptions
  );
import { isEmpty, isEqual, values } from 'lodash';
import Cache from 'quick-lru';

import { unsafeGetProviderAndId } from './utils';

const VOTE_FACTOR = 1e12;

/**
 * LRU cache used to speed up party creation date lookups over multiple function invocations.
 *
 * The cache is bounded at 1000 items to avoid excessive memory usage and will automatically
 * drop the least-used items on overflow.
 *
 * Remark: This assumes the creation date of parties never change after initial setup.
 */
const partyCache = new Cache({ maxSize: 1000 });

/**
 * Gets the creation date of the party with the given ID.
 *
 * Utilizes a LRU cache to speed up the process over multiple function invocations.
 *
 * @param partyId the ID of the party to get the creation date of.
 */
async function fetchPartyCreationDate(partyId: string): Promise {
    const possiblyCached = partyCache.peek(partyId);
    if (possiblyCached !== undefined) {
        return possiblyCached;
    }

    const partySnap: firebase.database.DataSnapshot = await firebase.database()
        .ref('/parties')
this.sodium = options.sodium;
    this.channel = options.channel;
    this.backend = options.backend;
    if (!this.sodium) {
      throw new Error('Missing required `sodium` option');
    }
    if (!this.channel) {
      throw new Error('Missing required `channel` option');
    }
    if (!this.backend) {
      throw new Error('Missing required `backend` option');
    }

    this.debugId = this.channel.id.toString('hex').slice(0, 8);

    this.lru = new LRU({ maxSize: options.maxLRUSize });

    this.lastCount = null;
    this.leaves = null;
  }
export function memo (fn) {
  return pMemoize(fn, {
    maxAge: MEMO_MAX_AGE,
    cache: new QuickLRU({ maxSize: MEMO_MAX_SIZE })
  })
}

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