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/**
* @license Apache-2.0
*
* Copyright (c) 2024 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';
 
/**
* WebAssembly routine to multiply a vector `x` by a constant `alpha`.
*
* @module @stdlib/blas/base/wasm/dscal
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var dscal = require( '@stdlib/blas/base/wasm/dscal' );
*
* // Define a strided array:
* var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
*
* // Perform operation:
* dscal.main( x.length, 5.0, x, 1 );
* // x => <Float64Array>[ 5.0, 10.0, 15.0, 20.0, 25.0 ]
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var dscal = require( '@stdlib/blas/base/wasm/dscal' );
*
* // Define a strided array:
* var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
*
* // Perform operation:
* dscal.ndarray( x.length, 5.0, x, 1, 0 );
* // x => <Float64Array>[ 5.0, 10.0, 15.0, 20.0, 25.0 ]
*
* @example
* var Memory = require( '@stdlib/wasm/memory' );
* var oneTo = require( '@stdlib/array/one-to' );
* var ones = require( '@stdlib/array/ones' );
* var zeros = require( '@stdlib/array/zeros' );
* var dscal = require( '@stdlib/blas/base/wasm/dscal' );
*
* // Create a new memory instance with an initial size of 10 pages (640KiB) and a maximum size of 100 pages (6.4MiB):
* var mem = new Memory({
*     'initial': 10,
*     'maximum': 100
* });
*
* // Create a BLAS routine:
* var mod = new dscal.Module( mem );
* // returns <Module>
*
* // Initialize the routine:
* mod.initializeSync();
*
* // Define a vector data type:
* var dtype = 'float64';
*
* // Specify a vector length:
* var N = 5;
*
* // Define a pointer (i.e., byte offset) for storing the input vector:
* var xptr = 0;
*
* // Write vector values to module memory:
* mod.write( xptr, oneTo( N, dtype ) );
*
* // Perform computation:
* mod.main( N, 5.0, xptr, 1 );
*
* // Read out the results:
* var view = zeros( N, dtype );
* mod.read( xptr, view );
*
* console.log( view );
* // => <Float64Array>[ 5.0, 10.0, 15.0, 20.0, 25.0 ]
*/
 
// MODULES //
 
var main = require( './main.js' );
 
 
// EXPORTS //
 
module.exports = main;
 
// exports: { "Module": "main.Module" }