dsnannsumors.native.js (1616B)
1 /** 2 * @license Apache-2.0 3 * 4 * Copyright (c) 2020 The Stdlib Authors. 5 * 6 * Licensed under the Apache License, Version 2.0 (the "License"); 7 * you may not use this file except in compliance with the License. 8 * You may obtain a copy of the License at 9 * 10 * http://www.apache.org/licenses/LICENSE-2.0 11 * 12 * Unless required by applicable law or agreed to in writing, software 13 * distributed under the License is distributed on an "AS IS" BASIS, 14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 15 * See the License for the specific language governing permissions and 16 * limitations under the License. 17 */ 18 19 'use strict'; 20 21 // MODULES // 22 23 var addon = require( './../src/addon.node' ); 24 25 26 // MAIN // 27 28 /** 29 * Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result. 30 * 31 * @param {PositiveInteger} N - number of indexed elements 32 * @param {Float32Array} x - input array 33 * @param {integer} strideX - `x` stride length 34 * @param {Float64Array} out - output array 35 * @param {integer} strideOut - `out` stride length 36 * @returns {Float64Array} output array 37 * 38 * @example 39 * var Float32Array = require( '@stdlib/array/float32' ); 40 * 41 * var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] ); 42 * var out = new Float64Array( 2 ); 43 * 44 * var v = dsnannsumors( x.length, x, 1, out, 1 ); 45 * // returns <Float64Array>[ 1.0, 3 ] 46 */ 47 function dsnannsumors( N, x, strideX, out, strideOut ) { 48 addon( N, x, strideX, out, strideOut ); 49 return out; 50 } 51 52 53 // EXPORTS // 54 55 module.exports = dsnannsumors;