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/**
* @license Apache-2.0
*
* Copyright (c) 2024 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';
// MODULES //
var zeroTo = require( '@stdlib/array-base-zero-to' );
var reverse = require( '@stdlib/array-base-reverse' );
var take = require( '@stdlib/array-base-take-indexed' );
// MAIN //
/**
* Applies a callback function to elements in a six-dimensional input ndarray and assigns results to elements in an equivalently shaped output ndarray.
*
* @private
* @param {Object} x - object containing ndarray meta data
* @param {ndarrayLike} x.ref - reference to the original ndarray-like object
* @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 output 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 {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
* @param {Callback} fcn - callback function
* @param {*} thisArg - callback execution context
* @returns {void}
*
* @example
* var Float64Array = require( '@stdlib/array-float64' );
*
* function scale( z ) {
* return z * 10.0;
* }
*
* // Create data buffers:
* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
* var ybuf = new Float64Array( 6 );
*
* // Define the shape of the input and output arrays:
* var shape = [ 1, 1, 1, 3, 1, 2 ];
*
* // Define the array strides:
* var sx = [ 12, 12, 12, 4, 4, 1 ];
* var sy = [ 6, 6, 6, 2, 2, 1 ];
*
* // Define the index offsets:
* var ox = 1;
* var oy = 0;
*
* // Create the input and output ndarray-like objects:
* var x = {
* 'ref': null,
* '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'
* };
*
* // Apply function:
* map6d( x, y, true, scale, {} );
*
* console.log( y.data );
* // => <Float64Array>[ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]
*/
function map6d( x, y, isRowMajor, fcn, thisArg ) {
var xbuf;
var ybuf;
var dx0;
var dx1;
var dx2;
var dx3;
var dx4;
var dx5;
var dy0;
var dy1;
var dy2;
var dy3;
var dy4;
var dy5;
var idx;
var sh;
var S0;
var S1;
var S2;
var S3;
var S4;
var S5;
var sx;
var sy;
var ix;
var iy;
var i0;
var i1;
var i2;
var i3;
var i4;
var i5;
// Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
// Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
sh = x.shape;
sx = x.strides;
sy = y.strides;
idx = zeroTo( sh.length );
if ( isRowMajor ) {
// For row-major ndarrays, the last dimensions have the fastest changing indices...
S0 = sh[ 5 ];
S1 = sh[ 4 ];
S2 = sh[ 3 ];
S3 = sh[ 2 ];
S4 = sh[ 1 ];
S5 = sh[ 0 ];
dx0 = sx[ 5 ]; // offset increment for innermost loop
dx1 = sx[ 4 ] - ( S0*sx[5] );
dx2 = sx[ 3 ] - ( S1*sx[4] );
dx3 = sx[ 2 ] - ( S2*sx[3] );
dx4 = sx[ 1 ] - ( S3*sx[2] );
dx5 = sx[ 0 ] - ( S4*sx[1] ); // offset increment for outermost loop
dy0 = sy[ 5 ];
dy1 = sy[ 4 ] - ( S0*sy[5] );
dy2 = sy[ 3 ] - ( S1*sy[4] );
dy3 = sy[ 2 ] - ( S2*sy[3] );
dy4 = sy[ 1 ] - ( S3*sy[2] );
dy5 = sy[ 0 ] - ( S4*sy[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 ];
S5 = sh[ 5 ];
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] );
dx5 = sx[ 5 ] - ( S4*sx[4] ); // offset increment for outermost loop
dy0 = sy[ 0 ];
dy1 = sy[ 1 ] - ( S0*sy[0] );
dy2 = sy[ 2 ] - ( S1*sy[1] );
dy3 = sy[ 3 ] - ( S2*sy[2] );
dy4 = sy[ 4 ] - ( S3*sy[3] );
dy5 = sy[ 5 ] - ( S4*sy[4] );
idx = reverse( idx );
}
// Set the pointers to the first indexed elements in the respective ndarrays...
ix = x.offset;
iy = y.offset;
// Cache references to the input and output ndarray buffers...
xbuf = x.data;
ybuf = y.data;
// Iterate over the ndarray dimensions...
for ( i5 = 0; i5 < S5; i5++ ) {
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++ ) {
ybuf[ iy ] = fcn.call( thisArg, xbuf[ ix ], take( [ i5, i4, i3, i2, i1, i0 ], idx ), x.ref ); // eslint-disable-line max-len
ix += dx0;
iy += dy0;
}
ix += dx1;
iy += dy1;
}
ix += dx2;
iy += dy2;
}
ix += dx3;
iy += dy3;
}
ix += dx4;
iy += dy4;
}
ix += dx5;
iy += dy5;
}
}
// EXPORTS //
module.exports = map6d;