bench: refactor random number generation in stats/base/dists/poisson

[pranav-1720]

Resolves #4984

Description

What is the purpose of this pull request?

This pull request:

• Refactors random number generation in JS benchmarks for stats/base/dists/poisson
• Replaces randu() with uniform() for cleaner and more consistent code.
• Moves the random number generation outside the benchmarking loops.

Related Issues

Does this pull request have any related issues?

This pull request:

• resolves #4984

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.

---

@stdlib-js/reviewers

[stdlib-bot]

Coverage Report

Package	Statements	Branches	Functions	Lines
stats/base/dists/poisson/cdf	$\color{green}226/226$ $\color{green}+100.00\%$	$\color{green}27/27$ $\color{green}+100.00\%$	$\color{green}3/3$ $\color{green}+100.00\%$	$\color{green}226/226$ $\color{green}+100.00\%$
stats/base/dists/poisson/ctor	$\color{green}442/442$ $\color{green}+100.00\%$	$\color{green}27/27$ $\color{green}+100.00\%$	$\color{green}16/16$ $\color{green}+100.00\%$	$\color{green}442/442$ $\color{green}+100.00\%$
stats/base/dists/poisson/entropy	$\color{green}146/146$ $\color{green}+100.00\%$	$\color{green}10/10$ $\color{green}+100.00\%$	$\color{green}3/3$ $\color{green}+100.00\%$	$\color{green}146/146$ $\color{green}+100.00\%$
stats/base/dists/poisson/kurtosis	$\color{green}103/103$ $\color{green}+100.00\%$	$\color{green}6/6$ $\color{green}+100.00\%$	$\color{green}1/1$ $\color{green}+100.00\%$	$\color{green}103/103$ $\color{green}+100.00\%$
stats/base/dists/poisson/logpmf	$\color{green}224/224$ $\color{green}+100.00\%$	$\color{green}27/27$ $\color{green}+100.00\%$	$\color{green}3/3$ $\color{green}+100.00\%$	$\color{green}224/224$ $\color{green}+100.00\%$
stats/base/dists/poisson/mean	$\color{green}161/161$ $\color{green}+100.00\%$	$\color{green}8/8$ $\color{green}+100.00\%$	$\color{green}2/2$ $\color{green}+100.00\%$	$\color{green}161/161$ $\color{green}+100.00\%$
stats/base/dists/poisson/median	$\color{green}107/107$ $\color{green}+100.00\%$	$\color{green}8/8$ $\color{green}+100.00\%$	$\color{green}1/1$ $\color{green}+100.00\%$	$\color{green}107/107$ $\color{green}+100.00\%$
stats/base/dists/poisson/mgf	$\color{green}183/183$ $\color{green}+100.00\%$	$\color{green}13/13$ $\color{green}+100.00\%$	$\color{green}3/3$ $\color{green}+100.00\%$	$\color{green}183/183$ $\color{green}+100.00\%$
stats/base/dists/poisson/mode	$\color{green}104/104$ $\color{green}+100.00\%$	$\color{green}6/6$ $\color{green}+100.00\%$	$\color{green}1/1$ $\color{green}+100.00\%$	$\color{green}104/104$ $\color{green}+100.00\%$
stats/base/dists/poisson/pmf	$\color{green}228/228$ $\color{green}+100.00\%$	$\color{green}27/27$ $\color{green}+100.00\%$	$\color{green}3/3$ $\color{green}+100.00\%$	$\color{green}228/228$ $\color{green}+100.00\%$
stats/base/dists/poisson/quantile	$\color{red}368/370$ $\color{green}+99.46\%$	$\color{red}48/49$ $\color{green}+97.96\%$	$\color{green}5/5$ $\color{green}+100.00\%$	$\color{red}368/370$ $\color{green}+99.46\%$
stats/base/dists/poisson/skewness	$\color{green}104/104$ $\color{green}+100.00\%$	$\color{green}6/6$ $\color{green}+100.00\%$	$\color{green}1/1$ $\color{green}+100.00\%$	$\color{green}104/104$ $\color{green}+100.00\%$
stats/base/dists/poisson/stdev	$\color{green}104/104$ $\color{green}+100.00\%$	$\color{green}6/6$ $\color{green}+100.00\%$	$\color{green}1/1$ $\color{green}+100.00\%$	$\color{green}104/104$ $\color{green}+100.00\%$
stats/base/dists/poisson/variance	$\color{green}161/161$ $\color{green}+100.00\%$	$\color{green}8/8$ $\color{green}+100.00\%$	$\color{green}2/2$ $\color{green}+100.00\%$	$\color{green}161/161$ $\color{green}+100.00\%$

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

[Planeshifter]

Looks good, thank you for your first PR!

[stdlib-bot]

PR Commit Message

bench: refactor random number generation in stats/base/dists/poisson

PR-URL: https://github.com/stdlib-js/stdlib/pull/5106
Ref: https://github.com/stdlib-js/stdlib/issues/4984

Co-authored-by: Pranav Agrawal <[email protected]>
Co-authored-by: pranav-1720 <[email protected]>
Reviewed-by: Philipp Burckhardt <[email protected]>

Please review the above commit message and make any necessary adjustments.