[hardikguptaofficialgit]

Resolves None.

Description

What is the purpose of this pull request?

This pull request:

• replaces inline NaN generation in the C implementation of stats/base/dists/levy/median with STDLIB_CONSTANT_FLOAT64_NAN
• adds @stdlib/constants/float64/nan to the build, benchmark, and examples manifest entries

Related Issues

Does this pull request have any related issues?

This pull request has the following related issues:

• [RFC]: replace inline NaN generation with stdlib NaN constants in C source files (tracking issue) #11743

Reference Packages

Did the content of this pull request follow one or more existing packages? Answering is optional.

This pull request followed these packages:

• stats/base/dists/levy/mean (refactor: use constants/float64/nan in stats/base/dists/levy/mean #16367)

What carried over from the reference(s)?

• include placement, macro usage, and manifest dependency updates

What differed, or what did you have to work out yourself?

• checked the benchmark, example, and README C snippets; none had inline NaN, so only src/main.c changed

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.

Compiled src/main.c locally with gcc -Wall -Wextra; NaN cases (c <= 0, NaN inputs) still return NaN and median( 0.0, 1.0 ) still returns ~2.198.

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.

I used an AI assistant to apply the edit following #16367, then reviewed the diff and compiled and tested the C implementation myself.

---

@stdlib-js/reviewers

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[stdlib-bot]

Coverage Report

Package	Statements	Branches	Functions	Lines
stats/base/dists/levy/median	$\\color{green}182/182$ $\\color{green}+100.00\\%$	$\\color{green}9/9$ $\\color{green}+100.00\\%$	$\\color{green}2/2$ $\\color{green}+100.00\\%$	$\\color{green}182/182$ $\\color{green}+100.00\\%$

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

[kgryte]

LGTM