feat: add stats/base/ndarray/snanvariance

[aryan7071]

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Resolves #{{TODO: add issue number}}.

Description

What is the purpose of this pull request?

This pull request:

• add stats/base/ndarray/snanvariance

Related Issues

Does this pull request have any related issues?

This pull request has the following related issues:

• #{{TODO: add related issue number}}

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No.

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• Read, understood, and followed the contributing guidelines.

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@stdlib-js/reviewers

[stdlib-bot]

Coverage Report

Package	Statements	Branches	Functions	Lines
stats/base/ndarray/snanvariance	$\color{green}152/152$ $\color{green}+0.00%$	$\color{green}10/10$ $\color{green}+0.00%$	$\color{green}1/1$ $\color{green}+0.00%$	$\color{green}152/152$ $\color{green}+0.00%$

The above coverage report was generated for the changes in this PR.

[aryan7071]

/stdlib update-copyright-years

[Planeshifter]

Thanks! Looks good; left a few minor documentation suggestions.

[Planeshifter]

This package specifically operates on single-precision floating-point arrays (float32), so let's add that qualifier to match the pattern in similar packages like snanmean.

Suggested change

	> Compute the sample variance of a one-dimensional ndarray, ignoring `NaN` values.
	> Compute the sample variance of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values.

[Planeshifter]

Two things here: missing backticks around NaN and the type qualifier. Let's match the snanmean convention.

Suggested change

	Computes the sample variance of a one-dimensional ndarray, ignoring NaN values.
	Computes the sample variance of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values.

[Planeshifter]

Let's add the "single-precision floating-point" qualifier here too to match the established pattern.

Suggested change

	* Compute the sample variance of a one-dimensional ndarray, ignoring `NaN` values.
	* Compute the sample variance of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values.

[Planeshifter]

Let's add the type qualifier here as well.

Suggested change

	* Computes the sample variance of a one-dimensional ndarray, ignoring `NaN` values.
	* Computes the sample variance of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values.

[Planeshifter]

The vector helper function needs JSDoc documentation to match the pattern in snanmean/test/test.js:

Suggested change

	function vector( buffer, length, stride, offset ) {
	return new ndarray( 'float32', buffer, [ length ], [ stride ], offset, 'row-major' );
	}
	/**
	* Returns a one-dimensional ndarray.
	*
	* @private
	* @param {Collection} buffer - underlying data buffer
	* @param {NonNegativeInteger} length - number of indexed elements
	* @param {integer} stride - stride length
	* @param {NonNegativeInteger} offset - index offset
	* @returns {ndarray} one-dimensional ndarray
	*/
	function vector( buffer, length, stride, offset ) {
	return new ndarray( 'float32', buffer, [ length ], [ stride ], offset, 'row-major' );
	}

[Planeshifter]

The nested benchmark function needs JSDoc documentation to match the pattern in snanmean/benchmark/benchmark.js:

Suggested change

	function benchmark( b ) {
	/**
	* Benchmark function.
	*
	* @private
	* @param {Benchmark} b - benchmark instance
	*/
	function benchmark( b ) {

[Planeshifter]

The main function needs JSDoc documentation to match the pattern in snanmean/benchmark/benchmark.js:

Suggested change

	function main() {
	/**
	* Main execution sequence.
	*
	* @private
	*/
	function main() {