About stdlib...
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The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.
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Allocate a buffer using an octet array.
To use in Observable,
array2buffer = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/buffer-from-array@umd/browser.js' )
To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:
var array2buffer = require( 'path/to/vendor/umd/buffer-from-array/index.js' )
To include the bundle in a webpage,
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/buffer-from-array@umd/browser.js"></script>
If no recognized module system is present, access bundle contents via the global scope:
<script type="text/javascript">
(function () {
window.array2buffer;
})();
</script>
Allocates a buffer using an array
(or array-like object
) of octets.
var buf = array2buffer( [ 1, 2, 3, 4 ] );
// returns <Buffer>[ 1, 2, 3, 4 ]
<!DOCTYPE html>
<html lang="en">
<body>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/buffer-from-array@umd/browser.js"></script>
<script type="text/javascript">
(function () {
var octets;
var buf;
var str;
var i;
// Define a string we want to convert to a buffer:
str = 'this is a string.';
// Manually convert the string to an array of octets...
octets = new Array( str.length );
for ( i = 0; i < str.length; i++ ) {
octets[ i ] = str.charCodeAt( i ) % 256;
}
// Create a buffer from the octet array:
buf = array2buffer( octets );
console.log( buf.toString() );
})();
</script>
</body>
</html>
@stdlib/buffer-ctor
: Buffer.@stdlib/buffer-from-arraybuffer
: allocate a buffer from an ArrayBuffer.@stdlib/buffer-from-buffer
: copy buffer data to a new Buffer instance.@stdlib/buffer-from-string
: allocate a buffer containing a provided string.
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.
See LICENSE.
Copyright © 2016-2024. The Stdlib Authors.