text: /**
  * @license Apache-2.0
  *
  * Copyright (c) 2020 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 isnan = require( '@stdlib/math-base-assert-is-nan' );
  var abs = require( '@stdlib/math-base-special-abs' );
  
  
  // MAIN //
  
  /**
  * Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.
  *
  * @param {PositiveInteger} N - number of indexed elements
  * @param {Float64Array} x - input array
  * @param {integer} stride - stride length
  * @param {NonNegativeInteger} offset - starting index
  * @returns {number} sum
  *
  * @example
  * var Float64Array = require( '@stdlib/array-float64' );
  * var floor = require( '@stdlib/math-base-special-floor' );
  *
  * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
  * var N = floor( x.length / 2 );
  *
  * var v = dnanasumors( N, x, 2, 1 );
  * // returns 9.0
  */
  function dnanasumors( N, x, stride, offset ) {
  	var sum;
  	var ix;
  	var v;
  	var i;
  
  	if ( N <= 0 ) {
  		return 0.0;
  	}
  	if ( N === 1 || stride === 0 ) {
  		if ( isnan( x[ offset ] ) ) {
  			return 0.0;
  		}
  		return abs( x[ offset ] );
  	}
  	ix = offset;
  	sum = 0.0;
  	for ( i = 0; i < N; i++ ) {
  		v = x[ ix ];
  		if ( isnan( v ) === false ) {
  			sum += abs( v );
  		}
  		ix += stride;
  	}
  	return sum;
  }
  
  
  // EXPORTS //
  
  module.exports = dnanasumors;
  