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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 incrementOffsets = require( './increment_offsets.js' );
var setViewOffsets = require( './set_view_offsets.js' );
var offsets = require( './offsets.js' );
// MAIN //
/**
* Performs a reduction over an input ndarray and assigns results to a provided output ndarray.
*
* @private
* @param {Function} fcn - reduction function
* @param {Array<Object>} arrays - ndarrays
* @param {Array<Object>} views - initialized ndarray-like objects representing sub-array views
* @param {IntegerArray} strides - loop dimension strides for the input ndarray
* @param {Options} opts - function options
* @returns {void}
*
* @example
* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
* var accessors = require( '@stdlib/array/base/accessors' );
* var Float64Array = require( '@stdlib/array/float64' );
* var filled = require( '@stdlib/array/base/filled' );
* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
* var base = require( '@stdlib/ndarray/base/every' );
*
* // Create data buffers:
* var xbuf = toAccessorArray( new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 0.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] ) );
* var ybuf = toAccessorArray( filled( false, 3 ) );
*
* // Define the array shapes:
* var xsh = [ 3, 2, 2 ];
* var ysh = [ 3 ];
*
* // Define the array strides:
* var sx = [ 4, 2, 1 ];
* var sy = [ 1 ];
*
* // Define the index offsets:
* var ox = 0;
* var oy = 0;
*
* // Create an input ndarray-like object:
* var x = {
* 'dtype': 'float64',
* 'data': xbuf,
* 'shape': xsh,
* 'strides': sx,
* 'offset': ox,
* 'order': 'row-major',
* 'accessors': accessors( xbuf ).accessors
* };
*
* // Create an output ndarray-like object:
* var y = {
* 'dtype': 'generic',
* 'data': ybuf,
* 'shape': ysh,
* 'strides': sy,
* 'offset': oy,
* 'order': 'row-major',
* 'accessors': accessors( ybuf ).accessors
* };
*
* // 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
* }
* ];
*
* // Perform a reduction:
* unary1d( base, [ x, y ], views, [ 4 ], {} );
*
* var arr = ndarray2array( y.data, y.shape, y.strides, y.offset, y.order );
* // returns [ true, false, true ]
*/
function unary1d( fcn, arrays, views, strides, opts ) {
var ybuf;
var set;
var dv0;
var sh;
var S0;
var iv;
var i0;
var y;
var i;
// Note on variable naming convention: S#, dv#, i# where # corresponds to the loop number, with `0` being the innermost loop...
// Resolve the output ndarray and associated shape:
y = arrays[ 1 ];
sh = y.shape;
// Extract loop variables: dimensions and loop offset (pointer) increments...
S0 = sh[ 0 ];
dv0 = [ strides[0] ];
for ( i = 1; i < arrays.length; i++ ) {
dv0.push( arrays[i].strides[0] );
}
// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
iv = offsets( arrays );
// Cache a reference to the output ndarray buffer:
ybuf = y.data;
// Cache accessors:
set = y.accessors[ 1 ];
// Iterate over the non-reduced ndarray dimensions...
for ( i0 = 0; i0 < S0; i0++ ) {
setViewOffsets( views, iv );
set( ybuf, iv[1], fcn( views, opts ) );
incrementOffsets( iv, dv0 );
}
}
// EXPORTS //
module.exports = unary1d;
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