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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';
 
// MODULES //
 
var Routine = require( './routine.js' );
 
 
// MAIN //
 
/**
* WebAssembly routine to compute the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.
*
* @name dnanasumors
* @type {Routine}
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* // Define a strided array:
* var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
*
* // Perform operation:
* var v = dnanasumors.main( 4, x, 1 );
* // returns 5.0
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* // Define a strided array:
* var x = new Float64Array( [ 2.0, 1.0, NaN, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
*
* // Perform operation:
* var v = dnanasumors.ndarray( 4, x, 2, 1 );
* // returns 9.0
*/
var dnanasumors = new Routine();
dnanasumors.initializeSync(); // eslint-disable-line node/no-sync
 
 
// EXPORTS //
 
module.exports = dnanasumors;