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stdlib-js/assert-has-class-support

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Class Support

NPM version Build Status Coverage Status

Detect native class support.

Installation

npm install @stdlib/assert-has-class-support

Alternatively,

  • To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
  • If you are using Deno, visit the deno branch (see README for usage intructions).
  • For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).
  • To use as a general utility for the command line, install the corresponding CLI package globally.

The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

Usage

var hasClassSupport = require( '@stdlib/assert-has-class-support' );

hasClassSupport()

Detects if a runtime environment supports ES2015 class.

var bool = hasClassSupport();
// returns <boolean>

Notes

  • The implementation uses code evaluation, which may be problematic in browser contexts enforcing a strict content security policy (CSP).

Examples

var hasClassSupport = require( '@stdlib/assert-has-class-support' );

var bool = hasClassSupport();
if ( bool ) {
    console.log( 'Environment has native class support.' );
} else {
    console.log( 'Environment lacks native class support.' );
}

CLI

Installation

To use as a general utility, install the CLI package globally

npm install -g @stdlib/assert-has-class-support-cli

Usage

Usage: has-class-support [options]

Options:

  -h,    --help                Print this message.
  -V,    --version             Print the package version.

Examples

$ has-class-support
<boolean>

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.

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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.