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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 numel = require( '@stdlib/ndarray/base/numel' );
var vind2bind = require( '@stdlib/ndarray/base/vind2bind' );
// MAIN //
/**
* Applies a ternary callback to elements in n-dimensional input ndarrays and assigns results to elements in an equivalently shaped output ndarray.
*
* @private
* @param {Object} x - object containing input ndarray meta data
* @param {*} x.dtype - data type
* @param {Collection} x.data - data buffer
* @param {NonNegativeIntegerArray} x.shape - dimensions
* @param {IntegerArray} x.strides - stride lengths
* @param {NonNegativeInteger} x.offset - index offset
* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
* @param {Object} y - object containing input ndarray meta data
* @param {*} y.dtype - data type
* @param {Collection} y.data - data buffer
* @param {NonNegativeIntegerArray} y.shape - dimensions
* @param {IntegerArray} y.strides - stride lengths
* @param {NonNegativeInteger} y.offset - index offset
* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
* @param {Object} z - object containing input ndarray meta data
* @param {*} z.dtype - data type
* @param {Collection} z.data - data buffer
* @param {NonNegativeIntegerArray} z.shape - dimensions
* @param {IntegerArray} z.strides - stride lengths
* @param {NonNegativeInteger} z.offset - index offset
* @param {string} z.order - specifies whether `z` is row-major (C-style) or column-major (Fortran-style)
* @param {Object} w - object containing output ndarray meta data
* @param {*} w.dtype - data type
* @param {Collection} w.data - data buffer
* @param {NonNegativeIntegerArray} w.shape - dimensions
* @param {IntegerArray} w.strides - stride lengths
* @param {NonNegativeInteger} w.offset - index offset
* @param {string} w.order - specifies whether `w` is row-major (C-style) or column-major (Fortran-style)
* @param {Callback} fcn - ternary callback
* @returns {void}
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* function fcn( a, b, c ) {
* return a + b + c;
* }
*
* // Create data buffers:
* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
* var ybuf = new Float64Array( [ 1.0, 1.0, 1.0, 1.0 ] );
* var zbuf = new Float64Array( [ 0.5, 0.5, 0.5, 0.5 ] );
* var wbuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );
*
* // Define the shape of the input and output arrays:
* var shape = [ 1, 1, 1, 4 ];
*
* // Define the array strides:
* var sx = [ 4, 4, 4, 1 ];
* var sy = [ 4, 4, 4, 1 ];
* var sz = [ 4, 4, 4, 1 ];
* var sw = [ 4, 4, 4, 1 ];
*
* // Define the index offsets:
* var ox = 0;
* var oy = 0;
* var oz = 0;
* var ow = 0;
*
* // Create the input and output ndarray-like objects:
* var x = {
* 'dtype': 'float64',
* 'data': xbuf,
* 'shape': shape,
* 'strides': sx,
* 'offset': ox,
* 'order': 'row-major'
* };
* var y = {
* 'dtype': 'float64',
* 'data': ybuf,
* 'shape': shape,
* 'strides': sy,
* 'offset': oy,
* 'order': 'row-major'
* };
* var z = {
* 'dtype': 'float64',
* 'data': zbuf,
* 'shape': shape,
* 'strides': sz,
* 'offset': oz,
* 'order': 'row-major'
* };
* var w = {
* 'dtype': 'float64',
* 'data': wbuf,
* 'shape': shape,
* 'strides': sw,
* 'offset': ow,
* 'order': 'row-major'
* };
*
* // Apply the ternary function:
* ternarynd( x, y, z, w, fcn );
*
* console.log( w.data );
* // => <Float64Array>[ 2.5, 3.5, 4.5, 5.5 ]
*/
function ternarynd( x, y, z, w, fcn ) {
var xbuf;
var ybuf;
var wbuf;
var zbuf;
var ordx;
var ordy;
var ordw;
var ordz;
var len;
var sh;
var sx;
var sy;
var sw;
var sz;
var ox;
var oy;
var ow;
var oz;
var ix;
var iy;
var iw;
var iz;
var i;
// Cache references to the input and output ndarray buffers...
xbuf = x.data;
ybuf = y.data;
zbuf = z.data;
wbuf = w.data;
// Cache references to the respective ndarray meta data...
sh = x.shape;
sx = x.strides;
sy = y.strides;
sz = z.strides;
sw = w.strides;
ox = x.offset;
oy = y.offset;
oz = z.offset;
ow = w.offset;
ordx = x.order;
ordy = y.order;
ordz = z.order;
ordw = w.order;
// Compute the total number of elements over which to iterate...
len = numel( sh );
// Iterate over each element based on the linear **view** index, regardless as to how the data is stored in memory...
for ( i = 0; i < len; i++ ) {
ix = vind2bind( sh, sx, ox, ordx, i, 'throw' );
iy = vind2bind( sh, sy, oy, ordy, i, 'throw' );
iz = vind2bind( sh, sz, oz, ordz, i, 'throw' );
iw = vind2bind( sh, sw, ow, ordw, i, 'throw' );
wbuf[ iw ] = fcn( xbuf[ ix ], ybuf[ iy ], zbuf[ iz ] );
}
}
// EXPORTS //
module.exports = ternarynd;
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