@stdlib/ndarray-min-dtype

About stdlib...

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

Minimum Data Type

Determine the minimum ndarray data type of the closest "kind" necessary for storing a provided scalar value.

Installation

npm install @stdlib/ndarray-min-dtype

Usage

var minDataType = require( '@stdlib/ndarray-min-dtype' );

minDataType( value )

Returns the minimum ndarray data type of the closest "kind" necessary for storing a provided scalar value.

var dt = minDataType( 3.141592653589793 );
// returns 'float32'

dt = minDataType( -3 );
// returns 'int8'

dt = minDataType( 3 );
// returns 'uint8'

dt = minDataType( '3' );
// returns 'generic'

Notes

• The function does not provide precision guarantees for non-integer-valued numbers. In other words, the function returns the smallest possible floating-point (i.e., inexact) data type for storing numbers having decimals.

Examples

var roundn = require( '@stdlib/math-base-special-roundn' );
var randu = require( '@stdlib/random-base-randu' );
var pow = require( '@stdlib/math-base-special-pow' );
var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
var minDataType = require( '@stdlib/ndarray-min-dtype' );

var dt;
var v;
var i;

// Generate numbers of varying magnitudes and determine the minimum data type for each value...
for ( i = 0; i < 100; i++ ) {
    v = randu() * pow( 2.0, discreteUniform( 0, 40 ) );
    if ( randu() < 0.5 ) {
        v *= -1;
    }
    v = roundn( v, discreteUniform( -1, 0 ) );
    dt = minDataType( v );
    console.log( 'min(%d) => %s', v, dt );
}

---

See Also

• @stdlib/ndarray-dtypes: list of ndarray data types.
• @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.
• @stdlib/ndarray-safe-casts: return a list of ndarray data types to which a provided ndarray data type 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.