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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.
*/
/* eslint-disable max-len */
'use strict';
// MODULES //
var without = require( '@stdlib/array/base/without' );
var wrap = require( './callback_wrapper.js' );
// MAIN //
/**
* Performs a reduction over a list of specified dimensions in an input ndarray according to a callback function 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 {Function} strategy - input ndarray reshape strategy
* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
* @param {Options} opts - function options
* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a reduction function
* @param {Function} clbk - callback function
* @param {thisArg} thisArg - callback execution context
* @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 zeros = require( '@stdlib/array/base/zeros' );
* var maxBy = require( '@stdlib/stats/base/ndarray/max-by' );
*
* function clbk( value ) {
* return value * 2.0;
* }
*
* // Create data buffers:
* var xbuf = toAccessorArray( new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ) );
* var ybuf = toAccessorArray( new Float64Array( [ 0.0 ] ) );
*
* // Define the array shapes:
* var xsh = [ 2, 2 ];
* var ysh = [];
*
* // Define the array strides:
* var sx = [ 2, 1 ];
* var sy = [ 0 ];
*
* // 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': 'float64',
* 'data': ybuf,
* 'shape': ysh,
* 'strides': sy,
* 'offset': oy,
* 'order': 'row-major',
* 'accessors': accessors( ybuf ).accessors
* };
*
* // Define a reshape strategy:
* function strategy( x ) {
* return {
* 'dtype': x.dtype,
* 'data': x.data,
* 'shape': [ 4 ],
* 'strides': [ 1 ],
* 'offset': x.offset,
* 'order': x.order
* };
* }
*
* // Create a workspace array for storing iteration indices:
* var ibuf = zeros( xsh.length );
*
* // Define the loop and core dimensions:
* var ldims = [];
* var cdims = [ 0, 1 ];
*
* // Perform a reduction:
* unary0d( maxBy, [ x, y ], strategy, ibuf, ldims, cdims, {}, false, clbk, {} );
*
* var v = y.data.get( 0 );
* // returns 8.0
*/
function unary0d( fcn, arrays, strategy, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
var arr;
var x;
var y;
var f;
x = arrays[ 0 ];
y = arrays[ 1 ];
f = wrap( x.ref, x, ibuf, ldims, [], cdims, clbk, thisArg );
arr = without( arrays, 1 );
arr[ 0 ] = strategy( x );
if ( hasOpts ) {
y.accessors[ 1 ]( y.data, y.offset, fcn( arr, opts, f ) );
} else {
y.accessors[ 1 ]( y.data, y.offset, fcn( arr, f ) );
}
}
// EXPORTS //
module.exports = unary0d;
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