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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.
*/
'use strict';
// MODULES //
var numel = require( '@stdlib/ndarray/base/numel' );
var vind2bind = require( '@stdlib/ndarray/base/vind2bind' );
var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
var zeros = require( '@stdlib/array/base/zeros' );
var setViewOffsets = require( './set_view_offsets.js' );
var offsets = require( './offsets.js' );
// VARIABLES //
var MODE = 'throw';
// MAIN //
/**
* Performs a reduction over two input ndarrays and assigns results to a provided output ndarray.
*
* @private
* @param {Function} fcn - wrapper for a one-dimensional strided array reduction function
* @param {Array<Object>} arrays - ndarrays
* @param {Array<Object>} views - initialized ndarray-like objects representing sub-array views
* @param {Function} strategy1 - first input ndarray reshape strategy
* @param {Function} strategy2 - second input ndarray reshape strategy
* @param {Options} opts - function options
* @returns {void}
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
* var gdot = require( '@stdlib/blas/base/ndarray/gdot' );
*
* // 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( [ 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 zbuf = new Float64Array( [ 0.0, 0.0, 0.0 ] );
*
* // Define the array shapes:
* var xsh = [ 3, 2, 2 ];
* var ysh = [ 3, 2, 2 ];
* var zsh = [ 3 ];
*
* // Define the array strides:
* var sx = [ 4, 2, 1 ];
* var sy = [ 4, 2, 1 ];
* var sz = [ 1 ];
*
* // Define the index offsets:
* var ox = 0;
* var oy = 0;
* var oz = 0;
*
* // Create input ndarray-like objects:
* var x = {
* 'dtype': 'float64',
* 'data': xbuf,
* 'shape': xsh,
* 'strides': sx,
* 'offset': ox,
* 'order': 'row-major'
* };
* var y = {
* 'dtype': 'float64',
* 'data': ybuf,
* 'shape': ysh,
* 'strides': sy,
* 'offset': oy,
* 'order': 'row-major'
* };
*
* // Create an output ndarray-like object:
* var z = {
* 'dtype': 'float64',
* 'data': zbuf,
* 'shape': zsh,
* 'strides': sz,
* 'offset': oz,
* 'order': 'row-major'
* };
*
* // Initialize ndarray-like objects representing sub-array views:
* var views = [
* {
* 'dtype': x.dtype,
* 'data': x.data,
* 'shape': [ 2, 2 ],
* 'strides': [ 2, 1 ],
* 'offset': x.offset,
* 'order': x.order
* },
* {
* 'dtype': y.dtype,
* 'data': y.data,
* 'shape': [ 2, 2 ],
* 'strides': [ 2, 1 ],
* 'offset': y.offset,
* 'order': y.order
* }
* ];
*
* // Define a reshape strategy:
* function strategy( x ) {
* return {
* 'dtype': x.dtype,
* 'data': x.data,
* 'shape': [ 4 ],
* 'strides': [ 1 ],
* 'offset': x.offset,
* 'order': x.order
* };
* }
*
* // Perform a reduction:
* binarynd( gdot, [ x, y, z ], views, strategy, strategy, {} );
*
* var arr = ndarray2array( z.data, z.shape, z.strides, z.offset, z.order );
* // returns [ 30.0, 174.0, 446.0 ]
*/
function binarynd( fcn, arrays, views, strategy1, strategy2, opts ) {
var zbuf;
var len;
var arr;
var sh;
var iv;
var io;
var N;
var z;
var v;
var i;
var j;
N = arrays.length;
// Resolve the output ndarray and associated shape:
z = arrays[ 2 ];
sh = z.shape;
// Compute the total number of elements over which to iterate:
len = numel( sh );
// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
iv = offsets( arrays );
// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
v = copyIndexed( views );
// Cache a reference to the output ndarray buffer:
zbuf = z.data;
// Iterate based on the linear **view** index, regardless as to how the data is stored in memory...
io = zeros( N );
for ( i = 0; i < len; i++ ) {
for ( j = 0; j < N; j++ ) {
arr = arrays[ j ];
io[ j ] = vind2bind( sh, arr.strides, iv[ j ], arr.order, i, MODE );
}
setViewOffsets( views, io );
v[ 0 ] = strategy1( views[ 0 ] );
v[ 1 ] = strategy2( views[ 1 ] );
zbuf[ io[2] ] = fcn( v, opts );
}
}
// EXPORTS //
module.exports = binarynd;
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