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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';
 
/**
* Return a kernel for applying a quinary callback to elements in five input ndarrays and assigning results to elements in an output ndarray using linear view iteration.
*
* @module @stdlib/ndarray/base/kernels/generic/quinary/linear
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
* var add5 = require( '@stdlib/number/float64/base/add5' );
* var kernel = require( '@stdlib/ndarray/base/kernels/generic/quinary/linear' );
*
* // 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( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
* var vbuf = 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 ];
* var sv = [ 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'
* };
* var v = {
*     'dtype': 'float64',
*     'data': vbuf,
*     'shape': shape,
*     'strides': sv,
*     'offset': 0,
*     'order': 'row-major'
* };
*
* // Resolve a kernel:
* var f = kernel( 13 );
*
* // Apply the quinary function:
* f( x, y, z, w, u, v, add5 );
*
* var arr = ndarray2array( v.data, v.shape, v.strides, v.offset, v.order );
* // returns [ [ [ [ [ [ [ [ [ [ [ [ [ 8.0, 9.0 ], [ 10.0, 11.0 ], [ 12.0, 13.0 ] ] ] ] ] ] ] ] ] ] ] ] ]
*/
 
// MODULES //
 
var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
var nd = require( './nd.js' );
var main = require( './main.js' );
 
 
// MAIN //
 
setReadOnly( main, 'nd', nd );
 
 
// EXPORTS //
 
module.exports = main;