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Return the WebAssembly data type for a provided array.

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stdlib-js/wasm-base-array2dtype

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array2dtype

NPM version Build Status Coverage Status

Return the WebAssembly data type for a provided array.

Installation

npm install @stdlib/wasm-base-array2dtype

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).

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 array2dtype = require( '@stdlib/wasm-base-array2dtype' );

array2dtype( array )

Returns the WebAssembly data type for a provided array.

var Float64Array = require( '@stdlib/array-float64' );
var arr = new Float64Array( 10 );

var dt = array2dtype( arr );
// returns 'float64'

If provided an argument having "generic" or an unknown/unsupported data type, the function assumes that array values can be stored as double-precision floating-point numbers and returns 'float64'.

var dt = array2dtype( [] );
// returns 'float64'

Examples

var dtypes = require( '@stdlib/array-dtypes' );
var empty = require( '@stdlib/array-empty' );
var array2dtype = require( '@stdlib/wasm-base-array2dtype' );

// Get a list of supported array data types:
var dt = dtypes();

// For each supported data type, create an array and return its WebAssembly data type...
var v;
var i;
for ( i = 0; i < dt.length; i++ ) {
    v = array2dtype( empty( 10, dt[ i ] ) );
    console.log( '%s => %s', dt[ i ], v );
}

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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