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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';
// MAIN //
/**
* Applies a ternary callback to elements in zero-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 intput 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( [ 2.0 ] );
* var ybuf = new Float64Array( [ 3.0 ] );
* var zbuf = new Float64Array( [ 4.0 ] );
* var wbuf = new Float64Array( [ 0.0 ] );
*
* // Define the shape of the input and output arrays:
* var shape = [];
*
* // Define the array strides:
* var sx = [ 0 ];
* var sy = [ 0 ];
* var sz = [ 0 ];
* var sw = [ 0 ];
*
* // 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:
* ternary0d( x, y, z, w, fcn );
*
* console.log( w.data );
* // => <Float64Array>[ 9.0 ]
*/
function ternary0d( x, y, z, w, fcn ) {
w.data[ w.offset ] = fcn( x.data[ x.offset ], y.data[ y.offset ], z.data[ z.offset ] ); // eslint-disable-line max-len
}
// EXPORTS //
module.exports = ternary0d;
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