@stdlib/array-promotion-rules
v0.3.0
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Return the array data type with the smallest size and closest kind to which array data types can be safely cast.
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Promotion Rules
Return the array data type with the smallest size and closest "kind" to which array data types can be safely cast.
Installation
npm install @stdlib/array-promotion-rules
Usage
var promotionRules = require( '@stdlib/array-promotion-rules' );
promotionRules( [dtype1, dtype2] )
If provided data types, returns the array data type with the smallest size and closest "kind" to which array data types can be safely cast.
var out = promotionRules( 'float32', 'uint32' );
// returns 'float64'
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
Notes
- If a data type to which data types can be safely cast does not exist (or is not supported), the function returns
-1
.
Examples
var dtypes = require( '@stdlib/array-dtypes' );
var promotionRules = require( '@stdlib/array-promotion-rules' );
var DTYPES;
var dt1;
var dt2;
var dt;
var i;
var j;
// Get the list of supported array data types:
DTYPES = dtypes();
// Print the promotion rule for each pair of array 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 );
}
}
See Also
@stdlib/array-dtypes
: list of array data types.@stdlib/array-safe-casts
: return a list of array data types to which a provided array data type can be safely cast.@stdlib/ndarray-promotion-rules
: return the ndarray data type with the smallest size and closest kind to which ndarray data types can be safely cast.
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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.