feat: add nd accessors kernel

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Author: kgryte

lib/node_modules/@stdlib/ndarray/base/binary/lib/nd_accessors.js

@@ -0,0 +1,192 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var numel = require( '@stdlib/ndarray/base/numel' );
+var vind2bind = require( '@stdlib/ndarray/base/vind2bind' );
+
+
+// VARIABLES //
+
+var MODE = 'throw';
+
+
+// MAIN //
+
+/**
+* Applies a binary callback to elements in n-dimensional input ndarrays and assigns results to elements in an equivalently shaped output ndarray.
+*
+* @private
+* @param {Object} x - object containing input 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 {Array<Function>} x.accessors - data buffer accessors
+* @param {Object} y - object containing input ndarray meta data
+* @param {string} 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 {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} z - object containing output ndarray meta data
+* @param {string} z.dtype - data type
+* @param {Collection} z.data - data buffer
+* @param {NonNegativeIntegerArray} z.shape - dimensions
+* @param {IntegerArray} z.strides - stride lengths
+* @param {NonNegativeInteger} z.offset - index offset
+* @param {string} z.order - specifies whether `z` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} z.accessors - data buffer accessors
+* @param {Callback} fcn - binary callback
+* @returns {void}
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var accessors = require( '@stdlib/array/base/accessors' );
+* var copy = require( '@stdlib/array/base/copy' );
+*
+* function fcn( x, y ) {
+*     return x + y;
+* }
+*
+* // Create data buffers:
+* 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 ] );
+* 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 ] );
+* 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 ] );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 6, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 2, 1 ];
+* var sy = [ 2, 1 ];
+* var sz = [ 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+* var oz = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'generic',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': accessors( xbuf ).accessors
+* };
+* var y = {
+*     'dtype': 'generic',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': accessors( ybuf ).accessors
+* };
+* var z = {
+*     'dtype': 'generic',
+*     'data': zbuf,
+*     'shape': shape,
+*     'strides': sz,
+*     'offset': oz,
+*     'order': 'row-major',
+*     'accessors': accessors( zbuf ).accessors
+* };
+*
+* // Apply the binary function:
+* binarynd( x, y, z, fcn );
+*
+* console.log( copy( z.data ) );
+* // => [ 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0 ]
+*/
+function binarynd( x, y, z, fcn ) {
+	var xbuf;
+	var ybuf;
+	var zbuf;
+	var ordx;
+	var ordy;
+	var ordz;
+	var xget;
+	var yget;
+	var zset;
+	var len;
+	var sh;
+	var sx;
+	var sy;
+	var sz;
+	var ox;
+	var oy;
+	var oz;
+	var ix;
+	var iy;
+	var iz;
+	var i;
+
+	sh = x.shape;
+
+	// Compute the total number of elements over which to iterate:
+	len = numel( sh );
+
+	// Cache references to the input and output ndarray data buffers:
+	xbuf = x.data;
+	ybuf = y.data;
+	zbuf = z.data;
+
+	// Cache references to the respective stride arrays:
+	sx = x.strides;
+	sy = y.strides;
+	sz = z.strides;
+
+	// Cache the indices of the first indexed elements in the respective ndarrays:
+	ox = x.offset;
+	oy = y.offset;
+	oz = z.offset;
+
+	// Cache the respective array orders:
+	ordx = x.order;
+	ordy = y.order;
+	ordz = z.order;
+
+	// Cache accessors:
+	xget = x.accessors[ 0 ];
+	yget = y.accessors[ 0 ];
+	zset = z.accessors[ 1 ];
+
+	// Iterate over each element based on the linear **view** index, regardless as to how the data is stored in memory...
+	for ( i = 0; i < len; i++ ) {
+		ix = vind2bind( sh, sx, ox, ordx, i, MODE );
+		iy = vind2bind( sh, sy, oy, ordy, i, MODE );
+		iz = vind2bind( sh, sz, oz, ordz, i, MODE );
+		zset( zbuf, iz, fcn( xget( xbuf, ix ), yget( ybuf, iy ) ) );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = binarynd;