@stdlib/fs-read-wasm
v0.2.2
Published
Read a file as WebAssembly.
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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 anencoding
option. As WebAssembly is a binary file format, if provided anencoding
option, the function overrides the option, setting the option value tonull
. - 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 );
}
}
See Also
@stdlib/fs-read-file
: read the entire contents of a file.
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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.