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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 cumulative sum of double-precision floating-point strided array elements, ignoring `NaN` values and using a second-order iterative Kahan–Babuška algorithm.
*
* @module @stdlib/blas/ext/base/dnancusumkbn2
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var dnancusumkbn2 = require( '@stdlib/blas/ext/base/dnancusumkbn2' );
*
* var x = new Float64Array( [ 1.0, -2.0, NaN ] );
* var y = new Float64Array( x.length );
*
* dnancusumkbn2( x.length, 0.0, x, 1, y, 1 );
* // y => <Float64Array>[ 1.0, -1.0, NaN ]
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var dnancusumkbn2 = require( '@stdlib/blas/ext/base/dnancusumkbn2' );
*
* var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, NaN ] );
* var y = new Float64Array( x.length );
*
* dnancusumkbn2.ndarray( 4, 0.0, x, 2, 1, y, 1, 0 );
* // y => <Float64Array>[ 1.0, -1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0 ]
*/
// MODULES //
var join = require( 'path' ).join;
var tryRequire = require( '@stdlib/utils/try-require' );
var isError = require( '@stdlib/assert/is-error' );
var main = require( './main.js' );
// MAIN //
var dnancusumkbn2;
var tmp = tryRequire( join( __dirname, './native.js' ) );
if ( isError( tmp ) ) {
dnancusumkbn2 = main;
} else {
dnancusumkbn2 = tmp;
}
// EXPORTS //
module.exports = dnancusumkbn2;
// exports: { "ndarray": "dnancusumkbn2.ndarray" }
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