Coder Social home page Coder Social logo

vinayasathyanarayana / mem Goto Github PK

View Code? Open in Web Editor NEW

This project forked from sindresorhus/memoize

0.0 1.0 0.0 106 KB

Memoize functions - an optimization technique used to speed up consecutive function calls by caching the result of calls with identical input

License: MIT License

TypeScript 100.00%

mem's Introduction

mem

Memoize functions - An optimization used to speed up consecutive function calls by caching the result of calls with identical input

Memory is automatically released when an item expires or the cache is cleared.

By default, only the first argument is considered and it only works with primitives. If you need to cache multiple arguments or cache objects by value, have a look at alternative caching strategies below.

Install

$ npm install mem

Usage

import mem from 'mem';

let index = 0;
const counter = () => ++index;
const memoized = mem(counter);

memoized('foo');
//=> 1

// Cached as it's the same argument
memoized('foo');
//=> 1

// Not cached anymore as the argument changed
memoized('bar');
//=> 2

memoized('bar');
//=> 2

// Only the first argument is considered by default
memoized('bar', 'foo');
//=> 2
Works fine with promise returning functions
import mem from 'mem';

let index = 0;
const counter = async () => ++index;
const memoized = mem(counter);

console.log(await memoized());
//=> 1

// The return value didn't increase as it's cached
console.log(await memoized());
//=> 1
import mem from 'mem';
import got from 'got';
import delay from 'delay';

const memGot = mem(got, {maxAge: 1000});

await memGot('https://sindresorhus.com');

// This call is cached
await memGot('https://sindresorhus.com');

await delay(2000);

// This call is not cached as the cache has expired
await memGot('https://sindresorhus.com');

Caching strategy

By default, only the first argument is compared via exact equality (===) to determine whether a call is identical.

const power = mem((a, b) => Math.power(a, b));

power(2, 2); // => 4, stored in cache with the key 2 (number)
power(2, 3); // => 4, retrieved from cache at key 2 (number), it's wrong

You will have to use the cache and cacheKey options appropriate to your function. In this specific case, the following could work:

const power = mem((a, b) => Math.power(a, b), {
  cacheKey: arguments_ => arguments_.join(',')
});

power(2, 2); // => 4, stored in cache with the key '2,2' (both arguments as one string)
power(2, 3); // => 8, stored in cache with the key '2,3'

More advanced examples follow.

Example: Options-like argument

If your function accepts an object, it won't be memoized out of the box:

const heavyMemoizedOperation = mem(heavyOperation);

heavyMemoizedOperation({full: true}); // Stored in cache with the object as key
heavyMemoizedOperation({full: true}); // Stored in cache with the object as key, again
// The objects look the same but for JS they're two different objects

You might want to serialize or hash them, for example using JSON.stringify or something like serialize-javascript, which can also serialize RegExp, Date and so on.

const heavyMemoizedOperation = mem(heavyOperation, {cacheKey: JSON.stringify});

heavyMemoizedOperation({full: true}); // Stored in cache with the key '[{"full":true}]' (string)
heavyMemoizedOperation({full: true}); // Retrieved from cache

The same solution also works if it accepts multiple serializable objects:

const heavyMemoizedOperation = mem(heavyOperation, {cacheKey: JSON.stringify});

heavyMemoizedOperation('hello', {full: true}); // Stored in cache with the key '["hello",{"full":true}]' (string)
heavyMemoizedOperation('hello', {full: true}); // Retrieved from cache

Example: Multiple non-serializable arguments

If your function accepts multiple arguments that aren't supported by JSON.stringify (e.g. DOM elements and functions), you can instead extend the initial exact equality (===) to work on multiple arguments using many-keys-map:

import ManyKeysMap from 'many-keys-map';

const addListener = (emitter, eventName, listener) => emitter.on(eventName, listener);

const addOneListener = mem(addListener, {
	cacheKey: arguments_ => arguments_, // Use *all* the arguments as key
	cache: new ManyKeysMap() // Correctly handles all the arguments for exact equality
});

addOneListener(header, 'click', console.log); // `addListener` is run, and it's cached with the `arguments` array as key
addOneListener(header, 'click', console.log); // `addListener` is not run again
addOneListener(mainContent, 'load', console.log); // `addListener` is run, and it's cached with the `arguments` array as key

Better yet, if your function’s arguments are compatible with WeakMap, you should use deep-weak-map instead of many-keys-map. This will help avoid memory leaks.

API

mem(fn, options?)

fn

Type: Function

Function to be memoized.

options

Type: object

maxAge

Type: number
Default: Infinity

Milliseconds until the cache expires.

cacheKey

Type: Function
Default: arguments_ => arguments_[0]
Example: arguments_ => JSON.stringify(arguments_)

Determines the cache key for storing the result based on the function arguments. By default, only the first argument is considered.

A cacheKey function can return any type supported by Map (or whatever structure you use in the cache option).

Refer to the caching strategies section for more information.

cache

Type: object
Default: new Map()

Use a different cache storage. Must implement the following methods: .has(key), .get(key), .set(key, value), .delete(key), and optionally .clear(). You could for example use a WeakMap instead or quick-lru for a LRU cache.

Refer to the caching strategies section for more information.

memDecorator(options)

Returns a decorator to memoize class methods or static class methods.

Notes:

  • Only class methods and getters/setters can be memoized, not regular functions (they aren't part of the proposal);
  • Only TypeScript’s decorators are supported, not Babel’s, which use a different version of the proposal;
  • Being an experimental feature, they need to be enabled with --experimentalDecorators; follow TypeScript’s docs.

options

Type: object

Same as options for mem().

import {memDecorator} from 'mem';

class Example {
	index = 0

	@memDecorator()
	counter() {
		return ++this.index;
	}
}

class ExampleWithOptions {
	index = 0

	@memDecorator({maxAge: 1000})
	counter() {
		return ++this.index;
	}
}

memClear(fn)

Clear all cached data of a memoized function.

fn

Type: Function

Memoized function.

Tips

Cache statistics

If you want to know how many times your cache had a hit or a miss, you can make use of stats-map as a replacement for the default cache.

Example

import mem from 'mem';
import StatsMap from 'stats-map';
import got from 'got';

const cache = new StatsMap();
const memGot = mem(got, {cache});

await memGot('https://sindresorhus.com');
await memGot('https://sindresorhus.com');
await memGot('https://sindresorhus.com');

console.log(cache.stats);
//=> {hits: 2, misses: 1}

Related

  • p-memoize - Memoize promise-returning & async functions

Get professional support for this package with a Tidelift subscription
Tidelift helps make open source sustainable for maintainers while giving companies
assurances about security, maintenance, and licensing for their dependencies.

mem's People

Contributors

sindresorhus avatar fregante avatar samverschueren avatar richienb avatar bendingbender avatar coreyfarrell avatar dylang avatar elvinn avatar keithamus avatar linusu avatar zenflow avatar maxwellgerber avatar owenallenaz avatar papb avatar ntwb avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.