feat: add stats/strided/snanmeanpw

[Arjan-P]

Resolves part of #13955.

Description

What is the purpose of this pull request?

This pull request:

• Add package stats/strided/snanmeanpw

Related Issues

Does this pull request have any related issues?

This pull request has the following related issues:

• [RFC]: add missing single precision nan modules for stats/strided #13955

Questions

Any questions for reviewers of this pull request?

No.

Other

Any other information relevant to this pull request? This may include screenshots, references, and/or implementation notes.

No.

Checklist

Please ensure the following tasks are completed before submitting this pull request.

• Read, understood, and followed the contributing guidelines.

AI Assistance

When authoring the changes proposed in this PR, did you use any kind of AI assistance?

• Yes
• No

If you answered "yes" above, how did you use AI assistance?

• Code generation (e.g., when writing an implementation or fixing a bug)
• Test/benchmark generation
• Documentation (including examples)
• Research and understanding

Disclosure

If you answered "yes" to using AI assistance, please provide a short disclosure indicating how you used AI assistance. This helps reviewers determine how much scrutiny to apply when reviewing your contribution. Example disclosures: "This PR was written primarily by Claude Code." or "I consulted ChatGPT to understand the codebase, but the proposed changes were fully authored manually by myself.".

{{TODO: add disclosure if applicable}}

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@stdlib-js/reviewers

[stdlib-bot]

Coverage Report

Package	Statements	Branches	Functions	Lines
stats/strided/snanmeanpw	$\\color{green}375/375$ $\\color{green}+0.00\\%$	$\\color{green}23/23$ $\\color{green}+0.00\\%$	$\\color{green}4/4$ $\\color{green}+0.00\\%$	$\\color{green}375/375$ $\\color{green}+0.00\\%$

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

[Arjan-P]

should snansumpw be dropped in favor of a single pass over x instead?

[0PrashantYadav0]

Make all the suggested changes.

[0PrashantYadav0]

Suggested change

	<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@4e01bf1a6def3724365a21d1d5af31b9c5774041/lib/node_modules/@stdlib/stats/strided/smeanpw/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">
	<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@c2e2726ac8dee5aa32ff0b440c343d46749c4011/lib/node_modules/@stdlib/stats/strided/snanmeanpn/docs/img/equation_arithmetic_mean.svg" alt="Equation for the arithmetic mean.">

[0PrashantYadav0]

Also make sure to add img inside docs folder

[0PrashantYadav0]

Suggested change

	Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array using pairwise summation and alternative indexing semantics.
	Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array, ignoring `NaN` values and using pairwise summation and alternative indexing semantics.

[0PrashantYadav0]

Suggested change

	Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array using pairwise summation.
	Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array, ignoring `NaN` values and using pairwise summation.

[0PrashantYadav0]

Suggested change

	const float x[] = { 1.0f, 2.0f, 0.0f/0.0f, 3.0f };
	const float x[] = { 1.0f, -2.0f, 0.0f/0.0f, 2.0f };

[0PrashantYadav0]

Suggested change

	// returns 2.0f
	// returns ~0.33333f

[0PrashantYadav0]

Suggested change

	> {{alias}}( 3, x, 2 )
	> {{alias}}( 4, x, 2 )

[0PrashantYadav0]

Suggested change

	> var x0 = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
	> var x0 = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );

[0PrashantYadav0]

Suggested change

	> {{alias}}( 3, x1, 2 )
	> {{alias}}( 4, x1, 2 )

[0PrashantYadav0]

Suggested change

	array using pairwise summation and alternative indexing semantics.
	array, ignoring `NaN` values and using pairwise summation and alternative
	indexing semantics.

[0PrashantYadav0]

Suggested change

	> {{alias}}.ndarray( 3, x, 2, 1 )
	> {{alias}}.ndarray( 4, x, 2, 1 )

[0PrashantYadav0]

Make all the suggested changes.

[Arjan-P]

@0PrashantYadav0 Sorry for the sloppy PR’s, appreciate the review. Have applied the suggested changes.

[0PrashantYadav0]

No worries @Arjan-P Great work. I will review this PR soon.

[0PrashantYadav0]

Just one recemm while making make sure you do understand why we need that change. Do check other modules and files to understand that. This help you to understand codebase and prevent future similar mistake. ( I learned it hard way 🥲 )

[0PrashantYadav0]

Why have you not remove this yet?

[0PrashantYadav0]

Suggested change

	If every indexed element is `NaN`, the function returns `NaN`.
	If every indexed element is `NaN`, the function returns `NaN`.

[Arjan-P]

Just one recemm while making make sure you do understand why we need that change. Do check other modules and files to understand that. This help you to understand codebase and prevent future similar mistake. ( I learned it hard way 🥲 )

I'm really trying to learn from the codebase and reviews like this. Also aware that that learning comes at the cost of reviewers time and effort. Hope to keep that at a minimum going forth.