memoize-weak
v1.0.2
Published
Garbage-collected memoizer for variadic functions
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memoize-weak
Garbage-collected memoizer for variadic functions
Installation
npm install memoize-weak
Example
import memoize from 'memoize-weak';
let foo = { foo: true };
let bar = { bar: true };
let baz = { baz: true };
const fn = memoize((...args) => args); // Create a memoized function
fn(foo, bar, baz); // Returns [{ foo: true }, { bar: true }, { baz: true }]
fn(foo, bar, baz); // Returns cached result
foo = bar = baz = undefined; // Original foo, bar and baz are now eligible for garbage collection
Features
- Memoizes multiple arguments of any type
- Previous arguments are automatically garbage-collected when no longer referenced elsewhere
- No external dependencies
- Compatible with ES5 and up
How does memoize-weak
differ from other memoize implementations?
Memoize functions cache the return value of a function, so that it can be used again without having to recalculate the value.
They do this by maintaining a cache of arguments that the function has previously been called with, in order to return results that correspond to an earlier set of arguments.
Usually this argument cache is retained indefinitely, or for a predefined duration after the original function call. This means that any objects passed as arguments are not eligible for garbage collection, even if all other references to these objects have been removed.
memoize-weak
uses "weak references" to the argument values, so that once all the references to the arguments have been removed elsewehere in the application, the arguments will become eligible for cleanup (along with any cached return values that correspond to those arguments).
This allows you to use memoized functions with impunity, without having to worry about potential memory leaks.
Using memoize-weak
in ES5 applications
memoize-weak
requires that Map
and WeakMap
are globally available. This means that these will have to be polyfilled for use in an ES5 environment.
Some examples of Map
and WeakMap
polyfills for ES5: