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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 mean and standard deviation of a one-dimensional double-precision floating-point ndarray.
*
* @module @stdlib/stats/base/ndarray/dmeanstdev
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
* var ndarray = require( '@stdlib/ndarray/base/ctor' );
* var ndarray2array = require( '@stdlib/ndarray/to-array' );
* var dmeanstdev = require( '@stdlib/stats/base/ndarray/dmeanstdev' );
*
* var opts = {
*     'dtype': 'float64'
* };
*
* var xbuf = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
* var x = new ndarray( opts.dtype, xbuf, [ 4 ], [ 2 ], 1, 'row-major' );
* var out = new ndarray( opts.dtype, new Float64Array( 2 ), [ 2 ], [ 1 ], 0, 'row-major' );
* var correction = scalar2ndarray( 1.0, opts );
*
* var v = dmeanstdev( [ x, out, correction ] );
* // returns <ndarray>
*
* var arr = ndarray2array( v );
* // returns <Float64Array>[ ~1.25, ~2.5 ]
*/
 
// MODULES //
 
var main = require( './main.js' );
 
 
// EXPORTS //
 
module.exports = main;