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feat: add 10d accessors kernel
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‎lib/node_modules/@stdlib/ndarray/base/binary/lib/10d_accessors.js

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2025 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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/* eslint-disable max-depth, max-len, max-statements, max-lines-per-function */
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'use strict';
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// MODULES //
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var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major-string' );
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// MAIN //
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/**
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* Applies a binary callback to elements in ten-dimensional input ndarrays and assigns results to elements in an equivalently shaped output ndarray.
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*
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* @private
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* @param {Object} x - object containing input ndarray meta data
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* @param {string} x.dtype - data type
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* @param {Collection} x.data - data buffer
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* @param {NonNegativeIntegerArray} x.shape - dimensions
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* @param {IntegerArray} x.strides - stride lengths
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* @param {NonNegativeInteger} x.offset - index offset
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* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
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* @param {Array<Function>} x.accessors - data buffer accessors
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* @param {Object} y - object containing input ndarray meta data
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* @param {string} y.dtype - data type
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* @param {Collection} y.data - data buffer
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* @param {NonNegativeIntegerArray} y.shape - dimensions
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* @param {IntegerArray} y.strides - stride lengths
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* @param {NonNegativeInteger} y.offset - index offset
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* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
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* @param {Array<Function>} y.accessors - data buffer accessors
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* @param {Object} z - object containing output ndarray meta data
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* @param {string} z.dtype - data type
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* @param {Collection} z.data - data buffer
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* @param {NonNegativeIntegerArray} z.shape - dimensions
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* @param {IntegerArray} z.strides - stride lengths
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* @param {NonNegativeInteger} z.offset - index offset
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* @param {string} z.order - specifies whether `z` is row-major (C-style) or column-major (Fortran-style)
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* @param {Array<Function>} z.accessors - data buffer accessors
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* @param {Callback} fcn - binary callback
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* @returns {void}
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*
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* @example
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* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
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* var accessors = require( '@stdlib/array/base/accessors' );
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* var copy = require( '@stdlib/array/base/copy' );
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*
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* function fcn( x, y ) {
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* return x + y;
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* }
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*
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* // Create data buffers:
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* var xbuf = toAccessorArray( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
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* var ybuf = toAccessorArray( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] );
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* var zbuf = toAccessorArray( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
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*
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* // Define the shape of the input and output arrays:
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* var shape = [ 1, 1, 1, 1, 1, 1, 1, 3, 2, 2 ];
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*
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* // Define the array strides:
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* var sx = [ 12, 12, 12, 12, 12, 12, 12, 4, 2, 1 ];
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* var sy = [ 12, 12, 12, 12, 12, 12, 12, 4, 2, 1 ];
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* var sz = [ 12, 12, 12, 12, 12, 12, 12, 4, 2, 1 ];
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*
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* // Define the index offsets:
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* var ox = 0;
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* var oy = 0;
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* var oz = 0;
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*
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* // Create the input and output ndarray-like objects:
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* var x = {
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* 'dtype': 'generic',
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* 'data': xbuf,
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* 'shape': shape,
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* 'strides': sx,
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* 'offset': ox,
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* 'order': 'row-major',
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* 'accessors': accessors( xbuf ).accessors
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* };
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* var y = {
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* 'dtype': 'generic',
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* 'data': ybuf,
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* 'shape': shape,
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* 'strides': sy,
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* 'offset': oy,
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* 'order': 'row-major',
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* 'accessors': accessors( ybuf ).accessors
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* };
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* var z = {
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* 'dtype': 'generic',
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* 'data': zbuf,
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* 'shape': shape,
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* 'strides': sz,
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* 'offset': oz,
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* 'order': 'row-major',
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* 'accessors': accessors( zbuf ).accessors
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* };
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*
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* // Apply the binary function:
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* binary10d( x, y, z, fcn );
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*
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* console.log( copy( z.data ) );
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* // => [ 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0 ]
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*/
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function binary10d( x, y, z, fcn ) {
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var xbuf;
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var ybuf;
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var zbuf;
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var xget;
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var yget;
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var zset;
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var dx0;
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var dx1;
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var dx2;
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var dx3;
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var dx4;
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var dx5;
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var dx6;
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var dx7;
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var dx8;
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var dx9;
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var dy0;
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var dy1;
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var dy2;
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var dy3;
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var dy4;
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var dy5;
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var dy6;
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var dy7;
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var dy8;
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var dy9;
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var dz0;
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var dz1;
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var dz2;
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var dz3;
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var dz4;
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var dz5;
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var dz6;
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var dz7;
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var dz8;
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var dz9;
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var sh;
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var S0;
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var S1;
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var S2;
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var S3;
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var S4;
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var S5;
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var S6;
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var S7;
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var S8;
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var S9;
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var sx;
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var sy;
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var sz;
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var ix;
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var iy;
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var iz;
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var i0;
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var i1;
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var i2;
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var i3;
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var i4;
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var i5;
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var i6;
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var i7;
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var i8;
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var i9;
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// Note on variable naming convention: S#, dx#, dy#, dz#, i# where # corresponds to the loop number, with `0` being the innermost loop...
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// Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
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sh = x.shape;
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sx = x.strides;
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sy = y.strides;
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sz = z.strides;
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if ( isRowMajor( x.order ) ) {
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// For row-major ndarrays, the last dimensions have the fastest changing indices...
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S0 = sh[ 9 ];
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S1 = sh[ 8 ];
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S2 = sh[ 7 ];
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S3 = sh[ 6 ];
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S4 = sh[ 5 ];
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S5 = sh[ 4 ];
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S6 = sh[ 3 ];
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S7 = sh[ 2 ];
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S8 = sh[ 1 ];
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S9 = sh[ 0 ];
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dx0 = sx[ 9 ]; // offset increment for innermost loop
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dx1 = sx[ 8 ] - ( S0*sx[9] );
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dx2 = sx[ 7 ] - ( S1*sx[8] );
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dx3 = sx[ 6 ] - ( S2*sx[7] );
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dx4 = sx[ 5 ] - ( S3*sx[6] );
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dx5 = sx[ 4 ] - ( S4*sx[5] );
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dx6 = sx[ 3 ] - ( S5*sx[4] );
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dx7 = sx[ 2 ] - ( S6*sx[3] );
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dx8 = sx[ 1 ] - ( S7*sx[2] );
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dx9 = sx[ 0 ] - ( S8*sx[1] ); // offset increment for outermost loop
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dy0 = sy[ 9 ];
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dy1 = sy[ 8 ] - ( S0*sy[9] );
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dy2 = sy[ 7 ] - ( S1*sy[8] );
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dy3 = sy[ 6 ] - ( S2*sy[7] );
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dy4 = sy[ 5 ] - ( S3*sy[6] );
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dy5 = sy[ 4 ] - ( S4*sy[5] );
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dy6 = sy[ 3 ] - ( S5*sy[4] );
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dy7 = sy[ 2 ] - ( S6*sy[3] );
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dy8 = sy[ 1 ] - ( S7*sy[2] );
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dy9 = sy[ 0 ] - ( S8*sy[1] );
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dz0 = sz[ 9 ];
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dz1 = sz[ 8 ] - ( S0*sz[9] );
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dz2 = sz[ 7 ] - ( S1*sz[8] );
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dz3 = sz[ 6 ] - ( S2*sz[7] );
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dz4 = sz[ 5 ] - ( S3*sz[6] );
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dz5 = sz[ 4 ] - ( S4*sz[5] );
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dz6 = sz[ 3 ] - ( S5*sz[4] );
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dz7 = sz[ 2 ] - ( S6*sz[3] );
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dz8 = sz[ 1 ] - ( S7*sz[2] );
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dz9 = sz[ 0 ] - ( S8*sz[1] );
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} else { // order === 'column-major'
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// For column-major ndarrays, the first dimensions have the fastest changing indices...
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S0 = sh[ 0 ];
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S1 = sh[ 1 ];
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S2 = sh[ 2 ];
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S3 = sh[ 3 ];
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S4 = sh[ 4 ];
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S5 = sh[ 5 ];
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S6 = sh[ 6 ];
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S7 = sh[ 7 ];
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S8 = sh[ 8 ];
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S9 = sh[ 9 ];
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dx0 = sx[ 0 ]; // offset increment for innermost loop
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dx1 = sx[ 1 ] - ( S0*sx[0] );
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dx2 = sx[ 2 ] - ( S1*sx[1] );
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dx3 = sx[ 3 ] - ( S2*sx[2] );
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dx4 = sx[ 4 ] - ( S3*sx[3] );
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dx5 = sx[ 5 ] - ( S4*sx[4] );
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dx6 = sx[ 6 ] - ( S5*sx[5] );
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dx7 = sx[ 7 ] - ( S6*sx[6] );
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dx8 = sx[ 8 ] - ( S7*sx[7] );
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dx9 = sx[ 9 ] - ( S8*sx[8] ); // offset increment for outermost loop
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dy0 = sy[ 0 ];
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dy1 = sy[ 1 ] - ( S0*sy[0] );
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dy2 = sy[ 2 ] - ( S1*sy[1] );
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dy3 = sy[ 3 ] - ( S2*sy[2] );
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dy4 = sy[ 4 ] - ( S3*sy[3] );
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dy5 = sy[ 5 ] - ( S4*sy[4] );
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dy6 = sy[ 6 ] - ( S5*sy[5] );
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dy7 = sy[ 7 ] - ( S6*sy[6] );
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dy8 = sy[ 8 ] - ( S7*sy[7] );
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dy9 = sy[ 9 ] - ( S8*sy[8] );
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dz0 = sz[ 0 ];
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dz1 = sz[ 1 ] - ( S0*sz[0] );
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dz2 = sz[ 2 ] - ( S1*sz[1] );
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dz3 = sz[ 3 ] - ( S2*sz[2] );
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dz4 = sz[ 4 ] - ( S3*sz[3] );
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dz5 = sz[ 5 ] - ( S4*sz[4] );
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dz6 = sz[ 6 ] - ( S5*sz[5] );
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dz7 = sz[ 7 ] - ( S6*sz[6] );
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dz8 = sz[ 8 ] - ( S7*sz[7] );
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dz9 = sz[ 9 ] - ( S8*sz[8] );
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}
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// Set the pointers to the first indexed elements in the respective ndarrays...
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ix = x.offset;
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iy = y.offset;
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iz = z.offset;
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// Cache references to the input and output ndarray buffers...
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xbuf = x.data;
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ybuf = y.data;
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zbuf = z.data;
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// Cache accessors:
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xget = x.accessors[ 0 ];
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yget = y.accessors[ 0 ];
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zset = z.accessors[ 1 ];
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// Iterate over the ndarray dimensions...
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for ( i9 = 0; i9 < S9; i9++ ) {
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for ( i8 = 0; i8 < S8; i8++ ) {
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for ( i7 = 0; i7 < S7; i7++ ) {
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for ( i6 = 0; i6 < S6; i6++ ) {
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for ( i5 = 0; i5 < S5; i5++ ) {
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for ( i4 = 0; i4 < S4; i4++ ) {
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for ( i3 = 0; i3 < S3; i3++ ) {
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for ( i2 = 0; i2 < S2; i2++ ) {
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for ( i1 = 0; i1 < S1; i1++ ) {
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for ( i0 = 0; i0 < S0; i0++ ) {
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zset( zbuf, iz, fcn( xget( xbuf, ix ), yget( ybuf, iy ) ) );
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ix += dx0;
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iy += dy0;
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iz += dz0;
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}
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ix += dx1;
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iy += dy1;
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iz += dz1;
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}
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ix += dx2;
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iy += dy2;
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iz += dz2;
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}
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ix += dx3;
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iy += dy3;
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iz += dz3;
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}
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ix += dx4;
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iy += dy4;
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iz += dz4;
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}
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ix += dx5;
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iy += dy5;
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iz += dz5;
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}
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ix += dx6;
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iy += dy6;
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iz += dz6;
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}
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ix += dx7;
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iy += dy7;
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iz += dz7;
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}
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ix += dx8;
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iy += dy8;
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iz += dz8;
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}
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ix += dx9;
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iy += dy9;
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iz += dz9;
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}
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}
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// EXPORTS //
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module.exports = binary10d;

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