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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.
*/
/* eslint-disable max-depth */
'use strict';
// MAIN //
/**
* Applies a nullary callback and assigns results to elements in an output ndarray.
*
* @private
* @param {Object} x - object containing ndarray meta data
* @param {string} 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 {Callback} fcn - nullary callback
* @returns {void}
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* function fcn() {
* return 10.0;
* }
*
* // Create a data buffer:
* var xbuf = new Float64Array( 12 );
*
* // Define the shape of the output array:
* var shape = [ 1, 1, 1, 1, 3, 1, 2 ];
*
* // Define the array strides:
* var sx = [ 12, 12, 12, 12, 4, 4, 1 ];
*
* // Define the index offset:
* var ox = 1;
*
* // Create the output ndarray-like object:
* var x = {
* 'dtype': 'float64',
* 'data': xbuf,
* 'shape': shape,
* 'strides': sx,
* 'offset': ox,
* 'order': 'row-major'
* };
*
* // Apply the nullary function:
* nullary7d( x, fcn );
*
* console.log( x.data );
* // => <Float64Array>[ 0.0, 10.0, 10.0, 0.0, 0.0, 10.0, 10.0, 0.0, 0.0, 10.0, 10.0, 0.0 ]
*/
function nullary7d( x, fcn ) {
var xbuf;
var dx0;
var dx1;
var dx2;
var dx3;
var dx4;
var dx5;
var dx6;
var sh;
var S0;
var S1;
var S2;
var S3;
var S4;
var S5;
var S6;
var sx;
var ix;
var i0;
var i1;
var i2;
var i3;
var i4;
var i5;
var i6;
// 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;
if ( x.order === 'row-major' ) {
// For row-major ndarrays, the last dimensions have the fastest changing indices...
S0 = sh[ 6 ];
S1 = sh[ 5 ];
S2 = sh[ 4 ];
S3 = sh[ 3 ];
S4 = sh[ 2 ];
S5 = sh[ 1 ];
S6 = sh[ 0 ];
dx0 = sx[ 6 ]; // offset increment for innermost loop
dx1 = sx[ 5 ] - ( S0*sx[6] );
dx2 = sx[ 4 ] - ( S1*sx[5] );
dx3 = sx[ 3 ] - ( S2*sx[4] );
dx4 = sx[ 2 ] - ( S3*sx[3] );
dx5 = sx[ 1 ] - ( S4*sx[2] );
dx6 = sx[ 0 ] - ( S5*sx[1] ); // offset increment for outermost loop
} 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 ];
S6 = sh[ 6 ];
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] );
dx6 = sx[ 6 ] - ( S5*sx[5] ); // offset increment for outermost loop
}
// Set a pointer to the first indexed element:
ix = x.offset;
// Cache a reference to the output ndarray buffer:
xbuf = x.data;
// Iterate over the ndarray dimensions...
for ( i6 = 0; i6 < S6; i6++ ) {
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++ ) {
xbuf[ ix ] = fcn();
ix += dx0;
}
ix += dx1;
}
ix += dx2;
}
ix += dx3;
}
ix += dx4;
}
ix += dx5;
}
ix += dx6;
}
}
// EXPORTS //
module.exports = nullary7d;
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