@stdlib/utils-async-if-else NPM

ifelseAsync

If a predicate function returns a truthy value, return x; otherwise, return y.

Installation

npm install @stdlib/utils-async-if-else

Usage

var ifelseAsync = require( '@stdlib/utils-async-if-else' );

ifelseAsync( predicate, x, y, done )

If a predicate function returns a truthy value, returns x; otherwise, returns y.

var randu = require( '@stdlib/random-base-randu' );

function predicate( clbk ) {
    setTimeout( onTimeout, 0 );
    function onTimeout() {
        clbk( null, randu() > 0.5 );
    }
}

function done( error, result ) {
    if ( error ) {
        throw error;
    }
    console.log( result );
}

ifelseAsync( predicate, 1.0, -1.0, done );

The predicate function is provided a single argument:

clbk: callback to invoke upon predicate function completion

The callback accepts two arguments:

error: error object
bool: condition used to determine whether to return x or y

The done callback is invoked upon function completion and is provided at most two arguments:

error: error object
result: either x or y

Notes

Execution is not guaranteed to be asynchronous. To guarantee asynchrony, wrap the done callback in a function which either executes at the end of the current stack (e.g., nextTick) or during a subsequent turn of the event loop (e.g., setImmediate, setTimeout).

Examples

var randu = require( '@stdlib/random-base-randu' );
var ifelseAsync = require( '@stdlib/utils-async-if-else' );

var i;

function next() {
    ifelseAsync( predicate, 'BOOP', 'beep', done );
}

function predicate( clbk ) {
    setTimeout( onTimeout, 0 );
    function onTimeout() {
        clbk( null, randu() > 0.9 );
    }
}

function done( error, result ) {
    if ( error ) {
        throw error;
    }
    i += 1;
    console.log( result );
    if ( i < 100 ) {
        return next();
    }
}

i = 0;
next();

Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.