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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 dtypes = require( '@stdlib/ndarray/dtypes' );
var gaxpb = require( '@stdlib/blas/ext/base/ndarray/gaxpb' );
var daxpb = require( '@stdlib/blas/ext/base/ndarray/daxpb' );
var saxpb = require( '@stdlib/blas/ext/base/ndarray/saxpb' );
var caxpb = require( '@stdlib/blas/ext/base/ndarray/caxpb' );
var zaxpb = require( '@stdlib/blas/ext/base/ndarray/zaxpb' );
var factory = require( '@stdlib/ndarray/base/nullary-strided1d-dispatch-factory' );
// VARIABLES //
var idtypes0 = dtypes( 'floating_point_and_generic' ); // alpha ndarray
var idtypes1 = dtypes( 'floating_point_and_generic' ); // beta ndarray
var odtypes = dtypes( 'floating_point_and_generic' );
var table = {
'types': [
'float64', // input/output
'float32', // input/output
'complex128', // input/output
'complex64' // input/output
],
'fcns': [
daxpb,
saxpb,
zaxpb,
caxpb
],
'default': gaxpb
};
var options = {
'strictTraversalOrder': true
};
// MAIN //
/**
* Multiplies each element in an input ndarray by a scalar constant and adds a scalar constant to each result along one or more ndarray dimensions.
*
* @private
* @name axpb
* @type {Function}
* @param {ndarray} x - input ndarray
* @param {ndarray} alpha - ndarray containing the scalar constant to multiply
* @param {ndarray} beta - ndarray containing the scalar constant to add
* @param {Options} [options] - function options
* @param {IntegerArray} [options.dims] - list of dimensions over which to perform operation
* @throws {TypeError} first argument must be an ndarray-like object
* @throws {TypeError} second argument must be an ndarray-like object
* @throws {TypeError} third argument must be an ndarray-like object
* @throws {TypeError} options argument must be an object
* @throws {RangeError} dimension indices must not exceed input ndarray bounds
* @throws {RangeError} number of dimension indices must not exceed the number of input ndarray dimensions
* @throws {Error} must provide valid options
* @returns {ndarray} output ndarray
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
* var ndarray = require( '@stdlib/ndarray/ctor' );
*
* // Create a data buffer:
* var xbuf = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
*
* // Define the shape of the input array:
* var sh = [ 2, 2, 2 ];
*
* // Define the array strides:
* var sx = [ 4, 2, 1 ];
*
* // Define the index offset:
* var ox = 0;
*
* // Create an input ndarray:
* var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );
*
* // Create ndarrays containing the scalar constants:
* var alpha = scalar2ndarray( 5.0, {
* 'dtype': 'float64'
* });
*
* var beta = scalar2ndarray( 3.0, {
* 'dtype': 'float64'
* });
*
* // Perform operation:
* var out = axpb( x, alpha, beta );
* // returns <ndarray>[ [ [ -7.0, 8.0 ], [ 18.0, -22.0 ] ], [ [ 23.0, 3.0 ], [ -2.0, -12.0 ] ] ]
*/
var axpb = factory( table, [ idtypes0, idtypes1 ], odtypes, options );
// EXPORTS //
module.exports = axpb;
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