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@stdlib/process
Advanced tools
We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.
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.
When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.
To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!
Process utilities.
npm install @stdlib/process
var ns = require( '@stdlib/process' );
Namespace containing process utilities.
var proc = ns;
// returns {...}
The namespace contains process utilities:
ARGV
: array containing command-line arguments passed when launching the calling process.chdir( path )
: change the current working directory.cwd()
: return the current working directory.ENV
: object containing the user environment.EXEC_PATH
: absolute pathname of the executable which started the current Node.js process.getegid()
: return the effective numeric group identity of the calling process.geteuid()
: return the effective numeric user identity of the calling process.getgid()
: return the numeric group identity of the calling process.getuid()
: return the numeric user identity of the calling process.NODE_VERSION
: node version.stdin( [encoding,] clbk )
: read data from stdin
.umask( [mask,] [options] )
: get/set the process mask.var objectKeys = require( '@stdlib/utils/keys' );
var ns = require( '@stdlib/process' );
console.log( objectKeys( ns ) );
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 © 2016-2023. The Stdlib Authors.
FAQs
Process utilities.
We found that @stdlib/process demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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