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* @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';
/**
* Compute the covariance of two ndarrays provided known means and using a one-pass textbook algorithm.
*
* @module @stdlib/stats/covarmtk
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var ndarray = require( '@stdlib/ndarray/ctor' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
* var covarmtk = require( '@stdlib/stats/covarmtk' );
*
* // Create data buffers:
* var xbuf = new Float64Array( [ 1.0, -2.0, 2.0 ] );
* var ybuf = new Float64Array( [ 2.0, -2.0, 1.0 ] );
*
* // Define the shape of the input arrays:
* var sh = [ 3 ];
*
* // Define the array strides:
* var sx = [ 1 ];
* var sy = [ 1 ];
*
* // Define the index offsets:
* var ox = 0;
* var oy = 0;
*
* // Create input ndarrays:
* var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );
* var y = new ndarray( 'float64', ybuf, sh, sy, oy, 'row-major' );
*
* // Define correction and means:
* var correction = scalar2ndarray( 1.0, { 'dtype': 'float64' } );
* var meanx = scalar2ndarray( 1.0/3.0, { 'dtype': 'float64' } );
* var meany = scalar2ndarray( 1.0/3.0, { 'dtype': 'float64' } );
*
* // Perform reduction:
* var out = covarmtk( x, y, correction, meanx, meany );
* // returns <ndarray>[ ~3.8333 ]
*/
// MODULES //
var main = require( './main.js' );
// EXPORTS //
module.exports = main;
// exports: { "assign": "main.assign" }
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