# ternaryBlockSize
> Resolve a loop block size for multi-dimensional array tiled loops.
## Usage
```javascript
var ternaryBlockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
```
#### ternaryBlockSize( dtypeX, dtypeY, dtypeZ, dtypeW )
Resolves a loop block size according to provided ndarray [dtypes][@stdlib/ndarray/dtypes] for multi-dimensional array tiled loops applying a ternary function.
```javascript
var bsize = ternaryBlockSize( 'float64', 'float64', 'float64', 'float64' );
// returns
```
The function supports the following arguments:
- **dtypeX**: first input array data type.
- **dtypeY**: second input array data type.
- **dtypeZ**: third input array data type.
- **dtypeW**: output array data type.
## Notes
- The returned loop tiling block size is in units of elements.
## Examples
```javascript
var dtypes = require( '@stdlib/ndarray/dtypes' );
var cartesianPower = require( '@stdlib/array/base/cartesian-power' );
var promoteDataTypes = require( '@stdlib/ndarray/base/promote-dtypes' );
var ternaryBlockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
// Generate a list of input ndarray dtype triplets:
var dt = cartesianPower( dtypes(), 3 );
// Resolve the block size for each dtype triplet and its promoted dtype...
var t;
var b;
var i;
console.log( 'block_size, xdtype, ydtype, zdtype, wdtype' );
for ( i = 0; i < dt.length; i++ ) {
t = promoteDataTypes( dt[ i ] );
dt[ i ].push( ( t === null ) ? 'generic' : t );
b = ternaryBlockSize.apply( null, dt[ i ] );
console.log( '%d, %s, %s, %s, %s', b, dt[i][0], dt[i][1], dt[i][2], dt[i][3] );
}
```
[@stdlib/ndarray/dtypes]: https://github.com/stdlib-js/ndarray/tree/main/dtypes