All files ndarray.native.js

93.22% Statements 55/59
100% Branches 1/1
0% Functions 0/1
93.22% Lines 55/59

Press n or j to go to the next uncovered block, b, p or k for the previous block.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 601x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x         1x 1x 1x 1x 1x  
/**
* @license Apache-2.0
*
* Copyright (c) 2026 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 addon = require( './../src/addon.node' );
 
 
// MAIN //
 
/**
* Returns an updated sum of squares represented in scaled form using alternative indexing semantics.
*
* @param {NonNegativeInteger} N - number of indexed elements
* @param {Float64Array} X - input array
* @param {integer} strideX - stride length for `X`
* @param {NonNegativeInteger} offsetX - starting index for `X`
* @param {number} scale - scaling factor
* @param {number} sumsq - basic sum of squares from which output is factored out
* @param {Float64Array} out - output array
* @param {integer} strideOut - stride length for `out`
* @param {NonNegativeInteger} offsetOut - starting index for `out`
* @returns {Float64Array} output array
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
* var out = new Float64Array( [ 0.0, 0.0 ] );
*
* dlassq( 4, X, 1, 0, 1.0, 0.0, out, 1, 0 );
* // out => <Float64Array>[ 1.0, 30.0 ]
*/
function dlassq( N, X, strideX, offsetX, scale, sumsq, out, strideOut, offsetOut ) { // eslint-disable-line max-len
	addon.ndarray( N, X, strideX, offsetX, scale, sumsq, out, strideOut, offsetOut ); // eslint-disable-line max-len
	return out;
}
 
 
// EXPORTS //
 
module.exports = dlassq;