What is @stdlib/assert-has-float64array-support?
@stdlib/assert-has-float64array-support is a package that provides a utility to check if the environment supports the Float64Array data type. This can be useful for ensuring compatibility and functionality in environments where typed arrays are required.
What are @stdlib/assert-has-float64array-support's main functionalities?
Check Float64Array support
This feature allows you to check if the current environment supports the Float64Array data type. The function returns a boolean value indicating the presence or absence of support.
const hasFloat64ArraySupport = require('@stdlib/assert-has-float64array-support');
if (hasFloat64ArraySupport()) {
console.log('Float64Array is supported.');
} else {
console.log('Float64Array is not supported.');
}
Other packages similar to @stdlib/assert-has-float64array-support
has-typed-arrays
The 'has-typed-arrays' package checks for the support of various typed arrays, including Float64Array. It provides a more general check compared to @stdlib/assert-has-float64array-support, which is specific to Float64Array.
is-typedarray
The 'is-typedarray' package determines if a given value is a typed array. While it does not specifically check for environment support, it can be used to validate if a value is an instance of a typed array, including Float64Array.
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Float64Array Support
Detect native Float64Array
support.
Installation
npm install @stdlib/assert-has-float64array-support
Usage
var hasFloat64ArraySupport = require( '@stdlib/assert-has-float64array-support' );
hasFloat64ArraySupport()
Detects if a runtime environment supports Float64Array
.
var bool = hasFloat64ArraySupport();
Examples
var hasFloat64ArraySupport = require( '@stdlib/assert-has-float64array-support' );
var bool = hasFloat64ArraySupport();
if ( bool ) {
console.log( 'Environment has Float64Array support.' );
} else {
console.log( 'Environment lacks Float64Array support.' );
}
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.
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.
0.2.2 (2024-07-27)
No changes reported for this release.
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