Package Exports
- @stdlib/ndarray-promotion-rules
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@stdlib/ndarray-promotion-rules) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
Promotion Rules
Return the ndarray data type with the smallest size and closest "kind" to which ndarray data types can be safely cast.
Installation
npm install @stdlib/ndarray-promotion-rules
Usage
var promotionRules = require( '@stdlib/ndarray-promotion-rules' );
promotionRules( [dtype1, dtype2] )
If provided data types, returns the ndarray data type with the smallest size and closest "kind" to which ndarray data types can be safely cast.
var out = promotionRules( 'float32', 'uint32' );
// returns 'float64'
If a data type to which data types can be safely cast does not exist (or is not supported), the function returns -1
.
var out = promotionRules( 'binary', 'generic' );
// returns -1
If not provided data types, the function returns a promotion table.
var out = promotionRules();
// returns {...}
var f32 = out[ 'float32' ];
// returns {...}
var rule = f32[ 'uint32' ];
// returns 'float64'
If provided an unrecognized or unsupported dtype
, the function returns null
.
var out = promotionRules( 'foo', 'generic' );
// returns null
Examples
var dtypes = require( '@stdlib/ndarray-dtypes' );
var promotionRules = require( '@stdlib/ndarray-promotion-rules' );
var DTYPES;
var dt1;
var dt2;
var dt;
var i;
var j;
// Get the list of supported ndarray data types:
DTYPES = dtypes();
// Print the promotion rule for each pair of ndarray data types...
for ( i = 0; i < DTYPES.length; i++ ) {
dt1 = DTYPES[ i ];
for ( j = 0; j < DTYPES.length; j++ ) {
dt2 = DTYPES[ j ];
dt = promotionRules( dt1, dt2 );
console.log( '(%s, %s) => %s', dt1, dt2, dt );
}
}
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 © 2016-2021. The Stdlib Authors.