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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 float64ToFloat32 = require( '@stdlib/number/float64/base/to-float32' );
var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
var absf = require( '@stdlib/math/base/special/absf' );
// MAIN //
/**
* Computes the cumulative sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm, ignoring `NaN` values.
*
* @param {PositiveInteger} N - number of indexed elements
* @param {number} sum - initial sum
* @param {Float32Array} x - input array
* @param {integer} strideX - stride length for `x`
* @param {NonNegativeInteger} offsetX - starting index for `x`
* @param {Float32Array} y - output array
* @param {integer} strideY - stride length for `y`
* @param {NonNegativeInteger} offsetY - starting index for `y`
* @returns {Float32Array} output array
*
* @example
* var Float32Array = require( '@stdlib/array/float32' );
*
* var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, NaN, NaN ] );
* var y = new Float32Array( x.length );
*
* var v = snancusumkbn( 4, 0.0, x, 2, 1, y, 1, 0 );
* // returns <Float32Array>[ 1.0, -1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0 ]
*/
function snancusumkbn( N, sum, x, strideX, offsetX, y, strideY, offsetY ) {
var ix;
var iy;
var s;
var v;
var t;
var c;
var i;
if ( N <= 0 ) {
return y;
}
ix = offsetX;
iy = offsetY;
s = sum;
c = 0.0;
for ( i = 0; i < N; i++ ) {
v = x[ ix ];
if ( isnanf( v ) ) {
y[ iy ] = float64ToFloat32( s + c );
ix += strideX;
iy += strideY;
continue;
}
t = float64ToFloat32( s + v );
if ( absf( s ) >= absf( v ) ) {
c = float64ToFloat32( c + float64ToFloat32( float64ToFloat32( s - t ) + v ) ); // eslint-disable-line max-len
} else {
c = float64ToFloat32( c + float64ToFloat32( float64ToFloat32( v - t ) + s ) ); // eslint-disable-line max-len
}
s = t;
y[ iy ] = float64ToFloat32( s + c );
ix += strideX;
iy += strideY;
}
return y;
}
// EXPORTS //
module.exports = snancusumkbn;
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