All files / ndarray/base/mskfilter/lib 5d.js

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/**
* @license Apache-2.0
*
* Copyright (c) 2025 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.
*/
 
/* eslint-disable max-depth */
 
'use strict';
 
// MAIN //
 
/**
* Applies a mask to a provided input ndarray and assigns unmasked values to elements in a provided one-dimensional output ndarray.
*
* @private
* @param {Object} x - object containing input ndarray meta data
* @param {Object} mask - object containing mask ndarray meta data
* @param {Object} y - object containing output ndarray meta data
* @returns {void}
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var Uint8Array = require( '@stdlib/array/uint8' );
*
* // Define the shape of the array:
* var shape = [ 1, 1, 3, 1, 2 ];
*
* // Define the array strides:
* var sx = [ 6, 6, 2, 2, 1 ];
* var sm = [ 6, 6, 2, 2, 1 ];
* var sy = [ 1 ];
*
* // Define the index offset:
* var ox = 1;
* var om = 0;
*
* var x = {
*     'dtype': 'float64',
*     'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0 ] ),
*     'shape': shape,
*     'strides': sx,
*     'offset': ox,
*     'order': 'row-major'
* };
*
* var mask = {
*     'dtype': 'uint8',
*     'data': new Uint8Array( [ 1, 0, 1, 0, 1, 0 ] ),
*     'shape': shape,
*     'strides': sm,
*     'offset': om,
*     'order': 'row-major'
* };
*
* var y = {
*     'dtype': 'float64',
*     'data': new Float64Array( 3 ),
*     'shape': [ 3 ],
*     'strides': sy,
*     'offset': 0,
*     'order': 'row-major'
* };
*
* mskfilter5d( x, mask, y );
*
* console.log( y.data );
* // => <Float64Array>[ 2.0, 4.0, 6.0 ]
*/
function mskfilter5d( x, mask, y ) {
	var xbuf;
	var mbuf;
	var ybuf;
	var dx0;
	var dx1;
	var dx2;
	var dx3;
	var dx4;
	var dm0;
	var dm1;
	var dm2;
	var dm3;
	var dm4;
	var dy0;
	var S0;
	var S1;
	var S2;
	var S3;
	var S4;
	var sh;
	var sm;
	var sx;
	var ix;
	var im;
	var iy;
	var i0;
	var i1;
	var i2;
	var i3;
	var i4;
 
	// Extract loop variables: dimensions and loop offset (pointer) increments...
	sh = x.shape;
	sx = x.strides;
	sm = mask.strides;
	if ( x.order === 'row-major' ) {
		// For row-major ndarrays, the last dimensions have the fastest changing indices...
		S0 = sh[ 4 ];
		S1 = sh[ 3 ];
		S2 = sh[ 2 ];
		S3 = sh[ 1 ];
		S4 = sh[ 0 ];
		dx0 = sx[ 4 ];                // offset increment for innermost loop
		dx1 = sx[ 3 ] - ( S0*sx[4] );
		dx2 = sx[ 2 ] - ( S1*sx[3] );
		dx3 = sx[ 1 ] - ( S2*sx[2] );
		dx4 = sx[ 0 ] - ( S3*sx[1] ); // offset increment for outermost loop
		dm0 = sm[ 4 ];
		dm1 = sm[ 3 ] - ( S0*sm[4] );
		dm2 = sm[ 2 ] - ( S1*sm[3] );
		dm3 = sm[ 1 ] - ( S2*sm[2] );
		dm4 = sm[ 0 ] - ( S3*sm[1] );
	} else { // order === 'column-major'
		// For column-major ndarrays, the first dimensions have the fastest changing indices...
		S0 = sh[ 0 ];
		S1 = sh[ 1 ];
		S2 = sh[ 2 ];
		S3 = sh[ 3 ];
		S4 = sh[ 4 ];
		dx0 = sx[ 0 ];                // offset increment for innermost loop
		dx1 = sx[ 1 ] - ( S0*sx[0] );
		dx2 = sx[ 2 ] - ( S1*sx[1] );
		dx3 = sx[ 3 ] - ( S2*sx[2] );
		dx4 = sx[ 4 ] - ( S3*sx[3] ); // offset increment for outermost loop
		dm0 = sm[ 0 ];
		dm1 = sm[ 1 ] - ( S0*sm[0] );
		dm2 = sm[ 2 ] - ( S1*sm[1] );
		dm3 = sm[ 3 ] - ( S2*sm[2] );
		dm4 = sm[ 4 ] - ( S3*sm[3] );
	}
	dy0 = y.strides[ 0 ];
 
	// Set the pointers to the first indexed elements in the respective ndarrays...
	ix = x.offset;
	im = mask.offset;
	iy = y.offset;
 
	// Cache references to the input, mask, and output ndarray buffers...
	xbuf = x.data;
	mbuf = mask.data;
	ybuf = y.data;
 
	// Iterate over the ndarray dimensions...
	for ( i4 = 0; i4 < S4; i4++ ) {
		for ( i3 = 0; i3 < S3; i3++ ) {
			for ( i2 = 0; i2 < S2; i2++ ) {
				for ( i1 = 0; i1 < S1; i1++ ) {
					for ( i0 = 0; i0 < S0; i0++ ) {
						if ( mbuf[ im ] ) {
							ybuf[ iy ] = xbuf[ ix ];
							iy += dy0;
						}
						ix += dx0;
						im += dm0;
					}
					ix += dx1;
					im += dm1;
				}
				ix += dx2;
				im += dm2;
			}
			ix += dx3;
			im += dm3;
		}
		ix += dx4;
		im += dm4;
	}
}
 
 
// EXPORTS //
 
module.exports = mskfilter5d;