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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 numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
var getStride = require( '@stdlib/ndarray/base/stride' );
var getOffset = require( '@stdlib/ndarray/base/offset' );
var getData = require( '@stdlib/ndarray/base/data-buffer' );
var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
var strided = require( '@stdlib/blas/ext/base/gapxsum' ).ndarray;
// MAIN //
/**
* Adds a scalar constant to each element in a one-dimensional ndarray and computes the sum.
*
* ## Notes
*
* - The function expects the following ndarrays:
*
* - a one-dimensional input ndarray.
* - a zero-dimensional ndarray containing the scalar constant to add.
*
* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
* @returns {number} sum
*
* @example
* var vector = require( '@stdlib/ndarray/vector/ctor' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
*
* var x = vector( [ 1.0, 3.0, 4.0, 2.0 ], 'generic' );
*
* var alpha = scalar2ndarray( 5.0, {
* 'dtype': 'generic'
* });
*
* var v = gapxsum( [ x, alpha ] );
* // returns 30.0
*/
function gapxsum( arrays ) {
var alpha;
var x;
x = arrays[ 0 ];
alpha = ndarraylike2scalar( arrays[ 1 ] );
return strided( numelDimension( x, 0 ), alpha, getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len
}
// EXPORTS //
module.exports = gapxsum;
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