@stdlib/ndarray-same-kind-casts

Return a list of ndarray data types to which a provided ndarray data type can be safely cast or cast within the same kind.

Usage no npm install needed!

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README

Same Kind Casts

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Return a list of ndarray data types to which a provided ndarray data type can be safely cast or cast within the same "kind".

Installation

npm install @stdlib/ndarray-same-kind-casts

Usage

var sameKindCasts = require( '@stdlib/ndarray-same-kind-casts' );

sameKindCasts( [dtype] )

If provided a dtype argument, returns a list of ndarray data types to which a provided ndarray data type can be safely cast or cast within the same "kind" (e.g., between signed integers or between floating-point numbers).

var out = sameKindCasts( 'float64' );
// e.g., returns [ 'float64', 'float32', ... ]

If not provided a dtype argument, the function returns a casting table.

var out = sameKindCasts();
// returns {...}

var f64 = out[ 'float64' ];
// returns {...}

var v = f64[ 'float32' ];
// returns 1

If provided an unrecognized or unsupported dtype, the function returns null.

var out = sameKindCasts( 'foo' );
// returns null

Examples

var dtypes = require( '@stdlib/ndarray-dtypes' );
var sameKindCasts = require( '@stdlib/ndarray-same-kind-casts' );

var DTYPES;
var list;
var i;

// Get the list of supported ndarray data types:
DTYPES = dtypes();

// Print the list of ndarray data types to which a data type can be cast...
for ( i = 0; i < DTYPES.length; i++ ) {
    list = sameKindCasts( DTYPES[ i ] );
    console.log( '%s: %s', DTYPES[ i ], list.join( ', ' ) );
}

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 © 2016-2022. The Stdlib Authors.