Update ndarray.js

Signed-off-by: JaySoni1 <[email protected]>

Author: JaySoni1

lib/node_modules/@stdlib/stats/base/meanpn/lib/ndarray.js

@@ -1,20 +1,20 @@
-/** 
- * @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. 
- */
+/**
+* @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';
 
@@ -27,32 +27,32 @@ var gapxsumpw = require( '@stdlib/blas/ext/base/gapxsumpw' ).ndarray;
 // MAIN //
 
 /**
- * Computes the arithmetic mean of a strided array using a two-pass error correction algorithm.
- *
- * ## Method
- *
- * -   This implementation uses a two-pass approach, as suggested by Neely (1966).
- *
- * ## References
- *
- * -   Neely, Peter M. 1966. "Comparison of Several Algorithms for Computation of Means, Standard Deviations and Correlation Coefficients." _Communications of the ACM_ 9 (7). Association for Computing Machinery: 496–99. doi:[10.1145/365719.365958](https://doi.org/10.1145/365719.365958).
- * -   Schubert, Erich, and Michael Gertz. 2018. "Numerically Stable Parallel Computation of (Co-)Variance." In _Proceedings of the 30th International Conference on Scientific and Statistical Database Management_. New York, NY, USA: Association for Computing Machinery. doi:[10.1145/3221269.3223036](https://doi.org/10.1145/3221269.3223036).
- *
- * @param {PositiveInteger} N - number of indexed elements
- * @param {NumericArray} x - input array
- * @param {integer} stride - stride length
- * @param {NonNegativeInteger} offset - starting index
- * @returns {number} arithmetic mean
- *
- * @example
- * var floor = require( '@stdlib/math/base/special/floor' );
- *
- * var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ];
- * var N = floor( x.length / 2 );
- *
- * var v = meanpn( N, x, 2, 1 );
- * // returns 1.25
- */
+* Computes the arithmetic mean of a strided array using a two-pass error correction algorithm.
+*
+* ## Method
+*
+* -   This implementation uses a two-pass approach, as suggested by Neely (1966).
+*
+* ## References
+*
+* -   Neely, Peter M. 1966. "Comparison of Several Algorithms for Computation of Means, Standard Deviations and Correlation Coefficients." _Communications of the ACM_ 9 (7). Association for Computing Machinery: 496–99. doi:[10.1145/365719.365958](https://doi.org/10.1145/365719.365958).
+* -   Schubert, Erich, and Michael Gertz. 2018. "Numerically Stable Parallel Computation of (Co-)Variance." In _Proceedings of the 30th International Conference on Scientific and Statistical Database Management_. New York, NY, USA: Association for Computing Machinery. doi:[10.1145/3221269.3223036](https://doi.org/10.1145/3221269.3223036).
+*
+* @param {PositiveInteger} N - number of indexed elements
+* @param {NumericArray} x - input array
+* @param {integer} stride - stride length
+* @param {NonNegativeInteger} offset - starting index
+* @returns {number} arithmetic mean
+*
+* @example
+* var floor = require( '@stdlib/math/base/special/floor' );
+*
+* var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ];
+* var N = floor( x.length / 2 );
+*
+* var v = meanpn( N, x, 2, 1 );
+* // returns 1.25
+*/
 // cspell:ignore meanpn
 function meanpn( N, x, stride, offset ) {
 	var mu;