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* @license Apache-2.0
*
* Copyright (c) 2026 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
'use strict';
// MODULES //
var quaternarynd = require( './nd.js' );
// MAIN //
/**
* Returns a kernel for applying a quaternary callback to elements in four input ndarrays and assigning results to elements in an output ndarray using linear view iteration.
*
* @param {integer} ndims - number of dimensions
* @returns {(Function|null)} kernel function or null
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
* var add4 = require( '@stdlib/number/float64/base/add4' );
*
* // Create data buffers:
* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
* var ybuf = new Float64Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
* var zbuf = new Float64Array( [ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ] );
* var wbuf = new Float64Array( [ 3.0, 3.0, 3.0, 3.0, 3.0, 3.0 ] );
* var ubuf = new Float64Array( 6 );
*
* // Define the shape of the input and output arrays:
* var shape = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 2 ];
*
* // Define the array strides:
* var sx = [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 2, 1 ];
* var sy = [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 2, 1 ];
* var sz = [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 2, 1 ];
* var sw = [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 2, 1 ];
* var su = [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 2, 1 ];
*
* // Create the input and output ndarray-like objects:
* var x = {
* 'dtype': 'float64',
* 'data': xbuf,
* 'shape': shape,
* 'strides': sx,
* 'offset': 0,
* 'order': 'row-major'
* };
* var y = {
* 'dtype': 'float64',
* 'data': ybuf,
* 'shape': shape,
* 'strides': sy,
* 'offset': 0,
* 'order': 'row-major'
* };
* var z = {
* 'dtype': 'float64',
* 'data': zbuf,
* 'shape': shape,
* 'strides': sz,
* 'offset': 0,
* 'order': 'row-major'
* };
* var w = {
* 'dtype': 'float64',
* 'data': wbuf,
* 'shape': shape,
* 'strides': sw,
* 'offset': 0,
* 'order': 'row-major'
* };
* var u = {
* 'dtype': 'float64',
* 'data': ubuf,
* 'shape': shape,
* 'strides': su,
* 'offset': 0,
* 'order': 'row-major'
* };
*
* // Resolve a kernel:
* var f = kernel( 13 );
*
* // Apply the quaternary function:
* f( x, y, z, w, u, add4 );
*
* var arr = ndarray2array( u.data, u.shape, u.strides, u.offset, u.order );
* // returns [ [ [ [ [ [ [ [ [ [ [ [ [ 7.0, 8.0 ], [ 9.0, 10.0 ], [ 11.0, 12.0 ] ] ] ] ] ] ] ] ] ] ] ] ]
*/
function kernel( ndims ) {
if ( ndims <= 0 ) {
return null;
}
return quaternarynd;
}
// EXPORTS //
module.exports = kernel;
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