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‎stats/strided/coverage.ndjson

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[1437,1437,100,1,1,100,0,0,100,1437,1437,100,"3f4be91fd9025e696b72b5159fee981f47937c7f","2025-06-20 22:40:37 -0500"]
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[1680,1680,100,1,1,100,0,0,100,1680,1680,100,"0de0a91bf68caff14964772458cf057b36b7cf37","2025-07-08 00:26:43 -0700"]
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[1689,1689,100,1,1,100,0,0,100,1689,1689,100,"e3ec7479e52d2427f8b6f3decb07125e4286178e","2025-07-09 23:19:32 -0700"]

‎stats/strided/dcovarmtk/coverage.ndjson

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[382,382,100,18,18,100,4,4,100,382,382,100,"e3ec7479e52d2427f8b6f3decb07125e4286178e","2025-07-09 23:19:32 -0700"]

‎stats/strided/dcovarmtk/dcovarmtk.js.html

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<a name='L58'></a><a href='#L58'>58</a></td><td class="line-coverage quiet"><span class="cline-any cline-yes">2x</span>
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<span class="cline-any cline-neutral">&nbsp;</span></td><td class="text"><pre class="prettyprint lang-js">/**
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* @license Apache-2.0
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*
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* Copyright (c) 2025 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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&nbsp;
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'use strict';
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&nbsp;
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// MODULES //
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&nbsp;
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var stride2offset = require( '@stdlib/strided/base/stride2offset' );
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var ndarray = require( './ndarray.js' );
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&nbsp;
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&nbsp;
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// MAIN //
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&nbsp;
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/**
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* Computes the covariance of two double-precision floating-point strided arrays provided known means and using a one-pass textbook algorithm.
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*
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* @param {PositiveInteger} N - number of indexed elements
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* @param {number} correction - degrees of freedom adjustment
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* @param {number} meanx - mean of `x`
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* @param {Float64Array} x - first input array
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* @param {integer} strideX - stride length of `x`
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* @param {number} meany - mean of `y`
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* @param {Float64Array} y - second input array
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* @param {integer} strideY - stride length of `y`
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* @returns {number} covariance
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*
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* @example
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* var Float64Array = require( '@stdlib/array/float64' );
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*
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* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
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*
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* var v = dcovarmtk( x.length, 1, 1.0/3.0, x, 1, 1.0/3.0, x, 1 );
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* // returns ~4.3333
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*/
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function dcovarmtk( N, correction, meanx, x, strideX, meany, y, strideY ) {
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return ndarray( N, correction, meanx, x, strideX, stride2offset( N, strideX ), meany, y, strideY, stride2offset( N, strideY ) ); // eslint-disable-line max-len
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}
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&nbsp;
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&nbsp;
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// EXPORTS //
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&nbsp;
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module.exports = dcovarmtk;
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&nbsp;</pre></td></tr></table></pre>
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