@stdlib/assert-has-float32array-support

What is @stdlib/assert-has-float32array-support?

The @stdlib/assert-has-float32array-support package is used to check if the environment supports the Float32Array data type. This can be useful for ensuring compatibility and functionality in environments where Float32Array might not be available.

What are @stdlib/assert-has-float32array-support's main functionalities?

Check Float32Array support

This feature allows you to check if the current environment supports the Float32Array data type. The code sample demonstrates how to use the package to perform this check and log the result.

const hasFloat32ArraySupport = require('@stdlib/assert-has-float32array-support');

if (hasFloat32ArraySupport()) {
  console.log('Float32Array is supported.');
} else {
  console.log('Float32Array is not supported.');
}

Other packages similar to @stdlib/assert-has-float32array-support

is-typedarray

The is-typedarray package checks if a given value is a typed array, including Float32Array. While it offers broader functionality by checking for various typed arrays, it can also be used to determine if Float32Array is supported by attempting to create an instance and catching any errors.

README

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Float32Array Support

Detect native Float32Array support.

Installation

npm install @stdlib/assert-has-float32array-support

Usage

var hasFloat32ArraySupport = require( '@stdlib/assert-has-float32array-support' );

hasFloat32ArraySupport()

Detects if a runtime environment supports Float32Array.

var bool = hasFloat32ArraySupport();
// returns <boolean>

Examples

var hasFloat32ArraySupport = require( '@stdlib/assert-has-float32array-support' );

var bool = hasFloat32ArraySupport();
if ( bool ) {
    console.log( 'Environment has Float32Array support.' );
} else {
    console.log( 'Environment lacks Float32Array support.' );
}

See Also

• @stdlib/assert-has-float32array-support-cli: CLI package for use as a command-line utility.

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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

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