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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.
*/
'use strict';
/**
* Compute the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.
*
* @module @stdlib/blas/ext/base/wasm/dnanasumors
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var dnanasumors = require( '@stdlib/blas/ext/base/wasm/dnanasumors' );
*
* // Define a strided array:
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* // Perform operation:
* var v = dnanasumors.main( x.length, x, 1 );
* // returns 5.0
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var dnanasumors = require( '@stdlib/blas/ext/base/wasm/dnanasumors' );
*
* // Define a strided array:
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* // Perform operation:
* var v = dnanasumors.ndarray( x.length, x, 1, 0 );
* // returns 5.0
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var Memory = require( '@stdlib/wasm/memory' );
* var dnanasumors = require( '@stdlib/blas/ext/base/wasm/dnanasumors' );
*
* // 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 dnanasumors.Module( mem );
* // returns <Module>
*
* // Initialize the routine:
* mod.initializeSync();
*
* // Specify a vector length:
* var N = 3;
*
* // Define a pointer (i.e., byte offset) for storing the input vector:
* var xptr = 0;
*
* // Write vector values to module memory:
* mod.write( xptr, new Float64Array( [ -4.0, NaN, -4.0 ] ) );
*
* // Perform computation:
* var sum = mod.main( N, xptr, 1 );
* // returns 8.0
*/
// MODULES //
var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
var main = require( './main.js' );
var Module = require( './module.js' );
// MAIN //
setReadOnly( main, 'Module', Module );
// EXPORTS //
module.exports = main;
// exports: { "Module": "main.Module" }
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