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* @license Apache-2.0
*
* Copyright (c) 2026 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 serialize = require( '@stdlib/ndarray/base/serialize-meta-data' );
var getData = require( '@stdlib/ndarray/base/data-buffer' );
var addon = require( './../src/addon.node' );
// MAIN //
/**
* Computes the cumulative sum of a one-dimensional single-precision floating-point ndarray using ordinary recursive summation.
*
* ## Notes
*
* - The function expects the following ndarrays:
*
* - a one-dimensional input ndarray.
* - a one-dimensional output ndarray.
* - a zero-dimensional ndarray containing the initial sum.
*
* @private
* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
* @returns {Object} output ndarray
*
* @example
* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
*
* var x = new Float32Vector( [ 1.0, 3.0, 4.0, 2.0 ] );
* var y = new Float32Vector( [ 0.0, 0.0, 0.0, 0.0 ] );
*
* var initial = scalar2ndarray( 0.0, {
* 'dtype': 'float32'
* });
*
* var z = scusumors( [ x, y, initial ] );
* // returns <ndarray>[ 1.0, 4.0, 8.0, 10.0 ]
*
* var bool = ( z === y );
* // returns true
*/
function scusumors( arrays ) {
var initial = arrays[ 2 ];
var x = arrays[ 0 ];
var y = arrays[ 1 ];
addon( getData( x ), serialize( x ), getData( y ), serialize( y ), getData( initial ), serialize( initial ) ); // eslint-disable-line max-len
return y;
}
// EXPORTS //
module.exports = scusumors;
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