@stdlib/fs-read-wasm NPM

Read WebAssembly

Read a file as WebAssembly.

Installation

npm install @stdlib/fs-read-wasm

Usage

var readWASM = require( '@stdlib/fs-read-wasm' );

readWASM( file[, options], clbk )

Asynchronously reads a file as WebAssembly.

var join = require( 'path' ).join;

var fpath = join( __dirname, 'examples', 'fixtures', 'file.wasm' );
readWASM( fpath, onRead );

function onRead( error, buf ) {
    if ( error ) {
        throw error;
    }
    console.log( buf );
}

The function accepts the following options:

flag: file status flag.

readWASM.sync( file[, options] )

Synchronously reads a file as WebAssembly.

var join = require( 'path' ).join;
var instanceOf = require( '@stdlib/assert-instance-of' );

var fpath = join( __dirname, 'examples', 'fixtures', 'file.wasm' );
var out = readWASM.sync( fpath );
if ( instanceOf( out, Error ) ) {
    throw out;
}
console.log( out );

The function accepts the same options as readWASM() above.

Notes

In contrast to readFile(), neither function accepts an encoding option. As WebAssembly is a binary file format, if provided an encoding option, the function overrides the option, setting the option value to null.
Both functions return WebAssembly file content as a Uint8Array.

Examples

var join = require( 'path' ).join;
var hasWebAssemblySupport = require( '@stdlib/assert-has-wasm-support' );
var readWASM = require( '@stdlib/fs-read-wasm' );

var fpath = join( __dirname, 'examples', 'fixtures', 'file.wasm' );
readWASM( fpath, onRead );

function onRead( error, wasm ) {
    var bool;
    if ( error ) {
        throw error;
    }
    bool = hasWebAssemblySupport();

    // If WebAssembly is supported, create a WebAssembly module instance...
    if ( bool ) {
        wasm = new WebAssembly.Module( wasm );
        wasm = new WebAssembly.Instance( wasm, {} );
        console.log( wasm.exports.stdlib_hypot( 5.0, 12.0 ) );
    } else {
        console.log( wasm );
    }
}

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.