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Return the ndarray data type with the smallest size and closest "kind" to which ndarray data types can be safely cast.
import promotionRules from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-promotion-rules@deno/mod.js';
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
import cartesianProduct from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-cartesian-product@deno/mod.js';
import dtypes from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-dtypes@deno/mod.js';
import unzip from 'https://cdn.jsdelivr.net/gh/stdlib-js/utils-unzip@deno/mod.js';
import logEachMap from 'https://cdn.jsdelivr.net/gh/stdlib-js/console-log-each-map@deno/mod.js';
import promotionRules from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-promotion-rules@deno/mod.js';
// Get the list of supported ndarray data types:
var dt = dtypes();
// Generate a list of data type pairs:
var pairs = cartesianProduct( dt, dt );
// Split the pairs into separate arrays:
var args = unzip( pairs );
// Print the promotion rule for each pair of ndarray data types:
logEachMap( '(%s, %s) => %s', args[ 0 ], args[ 1 ], promotionRules );
@stdlib/ndarray-casting-modes
: list of ndarray casting modes.@stdlib/ndarray-dtypes
: list of ndarray data types.@stdlib/ndarray-safe-casts
: return a list of ndarray data types to which a provided ndarray data type can be safely cast.
This package is part of stdlib, a standard library 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.
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See LICENSE.
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