@stdlib/ndarray-mostly-safe-casts
v0.3.0
Published
Return a list of ndarray data types to which a provided ndarray data type can be safely cast and, for floating-point data types, can be downcast.
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Mostly Safe Casts
Return a list of ndarray data types to which a provided ndarray data type can be safely cast and, for floating-point data types, can be downcast.
Installation
npm install @stdlib/ndarray-mostly-safe-casts
Usage
var mostlySafeCasts = require( '@stdlib/ndarray-mostly-safe-casts' );
mostlySafeCasts( [dtype] )
If provided a dtype
argument, returns a list of ndarray data types to which a provided ndarray data type can be safely cast and, for floating-point data types, can be downcast.
var out = mostlySafeCasts( 'float32' );
// e.g., returns [ 'float32', 'float64', ... ]
If not provided a dtype
argument, the function returns a casting table.
var out = mostlySafeCasts();
// returns {...}
var f32 = out[ 'float32' ];
// returns {...}
var v = f32[ 'float64' ];
// returns 1
If provided an unrecognized or unsupported dtype
, the function returns null
.
var out = mostlySafeCasts( 'foo' );
// returns null
Examples
var dtypes = require( '@stdlib/ndarray-dtypes' );
var mostlySafeCasts = require( '@stdlib/ndarray-mostly-safe-casts' );
// Get the list of supported ndarray data types:
var DTYPES = dtypes();
// Print the list of ndarray data types to which a data type can be cast...
var list;
var i;
for ( i = 0; i < DTYPES.length; i++ ) {
list = mostlySafeCasts( DTYPES[ i ] );
console.log( '%s: %s', DTYPES[ i ], list.join( ', ' ) );
}
See Also
@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.@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.
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.