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* @license Apache-2.0
*
* Copyright (c) 2023 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 unary callback to elements in a five-dimensional nested input array and assigns results to elements in a five-dimensional nested output array.
*
* ## Notes
*
* - The function assumes that the input and output arrays have the same shape.
*
* @param {ArrayLikeObject<Array<Array<Collection>>>} arrays - array-like object containing one input nested array and one output nested array
* @param {NonNegativeIntegerArray} shape - array shape
* @param {Callback} fcn - unary callback
* @returns {void}
*
* @example
* var ones5d = require( '@stdlib/array/base/ones5d' );
* var zeros5d = require( '@stdlib/array/base/zeros5d' );
*
* function scale( x ) {
* return x * 10.0;
* }
*
* var shape = [ 1, 1, 1, 2, 2 ];
*
* var x = ones5d( shape );
* var y = zeros5d( shape );
*
* unary5d( [ x, y ], shape, scale );
*
* console.log( y );
* // => [ [ [ [ [ 10.0, 10.0 ], [ 10.0, 10.0 ] ] ] ] ]
*/
function unary5d( arrays, shape, fcn ) {
var S0;
var S1;
var S2;
var S3;
var S4;
var i0;
var i1;
var i2;
var i3;
var i4;
var x0;
var x1;
var x2;
var x3;
var y0;
var y1;
var y2;
var y3;
var x;
var y;
S0 = shape[ 4 ];
S1 = shape[ 3 ];
S2 = shape[ 2 ];
S3 = shape[ 1 ];
S4 = shape[ 0 ];
if ( S0 <= 0 || S1 <= 0 || S2 <= 0 || S3 <= 0 || S4 <= 0 ) {
return;
}
x = arrays[ 0 ];
y = arrays[ 1 ];
for ( i4 = 0; i4 < S4; i4++ ) {
x3 = x[ i4 ];
y3 = y[ i4 ];
for ( i3 = 0; i3 < S3; i3++ ) {
x2 = x3[ i3 ];
y2 = y3[ i3 ];
for ( i2 = 0; i2 < S2; i2++ ) {
x1 = x2[ i2 ];
y1 = y2[ i2 ];
for ( i1 = 0; i1 < S1; i1++ ) {
x0 = x1[ i1 ];
y0 = y1[ i1 ];
for ( i0 = 0; i0 < S0; i0++ ) {
y0[ i0 ] = fcn( x0[ i0 ] );
}
}
}
}
}
}
// EXPORTS //
module.exports = unary5d;
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