stdlib-jsWe 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!
unaryBlockSize
[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url]
Resolve a loop block size for multi-dimensional array tiled loops.
bash
npm install @stdlib/ndarray-base-unary-tiling-block-size
javascript
var unaryBlockSize = require( '@stdlib/ndarray-base-unary-tiling-block-size' );
#### unaryBlockSize( dtypeX, dtypeY )
Resolves a loop block size according to provided ndarray [dtypes][@stdlib/ndarray/dtypes] for multi-dimensional array tiled loops applying a unary function.
javascript
var bsize = unaryBlockSize( 'float64', 'float64' );
// returns <number>
javascript
var dtypes = require( '@stdlib/ndarray-dtypes' );
var cartesianSquare = require( '@stdlib/array-base-cartesian-square' );
var unaryBlockSize = require( '@stdlib/ndarray-base-unary-tiling-block-size' );
// Generate a list of ndarray dtype pairs:
var dt = cartesianSquare( dtypes() );
// Resolve the block size for each dtype pair...
var b;
var i;
for ( i = 0; i < dt.length; i++ ) {
b = unaryBlockSize.apply( null, dt[ i ] );
console.log( '%d, %s, %s', b, dt[i][0], dt[i][1] );
}
