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

[G4URAV001]

… JS benchmarks

Resolves #4992 .

Description

This pull request:

This pull request improves random number generation in JS benchmarks for stats/base/dists/weibull. Specifically:

Moves random number generation out of benchmarking loops to prevent interference with benchmark results.

Uses @stdlib/random/base/uniform and @stdlib/random/base/discrete-uniform instead of randu expressions.

Ensures generated random values maintain the same range as existing values for consistency.

Related Issues

Does this pull request have any related issues?

References #4837 and #4955 as examples of similar improvements.

This pull request:

• resolves [RFC]: Refactor random number generation in JS benchmarks for stats/base/dists/weibull #4992

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.

✅ Build Native Add-on.
✅ Run JavaScript Benchmarks.
✅ Run JavaScript Native Benchmarks.

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@stdlib-js/reviewers

[stdlib-bot]

Coverage Report

Package	Statements	Branches	Functions	Lines
stats/base/dists/weibull/cdf	$\color{green}298/298$ $\color{green}+100.00\%$	$\color{green}25/25$ $\color{green}+100.00\%$	$\color{green}4/4$ $\color{green}+100.00\%$	$\color{green}298/298$ $\color{green}+100.00\%$
stats/base/dists/weibull/ctor	$\color{red}486/487$ $\color{green}+99.79\%$	$\color{green}33/33$ $\color{green}+100.00\%$	$\color{red}18/19$ $\color{green}+94.74\%$	$\color{red}486/487$ $\color{green}+99.79\%$
stats/base/dists/weibull/entropy	$\color{green}126/126$ $\color{green}+100.00\%$	$\color{green}8/8$ $\color{green}+100.00\%$	$\color{green}1/1$ $\color{green}+100.00\%$	$\color{green}126/126$ $\color{green}+100.00\%$
stats/base/dists/weibull/kurtosis	$\color{green}137/137$ $\color{green}+100.00\%$	$\color{green}8/8$ $\color{green}+100.00\%$	$\color{green}1/1$ $\color{green}+100.00\%$	$\color{green}137/137$ $\color{green}+100.00\%$
stats/base/dists/weibull/logcdf	$\color{green}311/311$ $\color{green}+100.00\%$	$\color{green}28/28$ $\color{green}+100.00\%$	$\color{green}4/4$ $\color{green}+100.00\%$	$\color{green}311/311$ $\color{green}+100.00\%$
stats/base/dists/weibull/logpdf	$\color{green}308/308$ $\color{green}+100.00\%$	$\color{green}35/35$ $\color{green}+100.00\%$	$\color{green}4/4$ $\color{green}+100.00\%$	$\color{green}308/308$ $\color{green}+100.00\%$
stats/base/dists/weibull/mean	$\color{green}195/195$ $\color{green}+100.00\%$	$\color{green}10/10$ $\color{green}+100.00\%$	$\color{green}2/2$ $\color{green}+100.00\%$	$\color{green}195/195$ $\color{green}+100.00\%$
stats/base/dists/weibull/median	$\color{green}197/197$ $\color{green}+100.00\%$	$\color{green}10/10$ $\color{green}+100.00\%$	$\color{green}2/2$ $\color{green}+100.00\%$	$\color{green}197/197$ $\color{green}+100.00\%$
stats/base/dists/weibull/mgf	$\color{red}262/264$ $\color{green}+99.24\%$	$\color{red}23/25$ $\color{green}+92.00\%$	$\color{green}3/3$ $\color{green}+100.00\%$	$\color{red}262/264$ $\color{green}+99.24\%$
stats/base/dists/weibull/mode	$\color{green}128/128$ $\color{green}+100.00\%$	$\color{green}10/10$ $\color{green}+100.00\%$	$\color{green}1/1$ $\color{green}+100.00\%$	$\color{green}128/128$ $\color{green}+100.00\%$
stats/base/dists/weibull/pdf	$\color{green}310/310$ $\color{green}+100.00\%$	$\color{green}36/36$ $\color{green}+100.00\%$	$\color{green}4/4$ $\color{green}+100.00\%$	$\color{green}310/310$ $\color{green}+100.00\%$
stats/base/dists/weibull/quantile	$\color{green}218/218$ $\color{green}+100.00\%$	$\color{green}23/23$ $\color{green}+100.00\%$	$\color{green}3/3$ $\color{green}+100.00\%$	$\color{green}218/218$ $\color{green}+100.00\%$
stats/base/dists/weibull/skewness	$\color{green}139/139$ $\color{green}+100.00\%$	$\color{green}8/8$ $\color{green}+100.00\%$	$\color{green}1/1$ $\color{green}+100.00\%$	$\color{green}139/139$ $\color{green}+100.00\%$
stats/base/dists/weibull/stdev	$\color{green}128/128$ $\color{green}+100.00\%$	$\color{green}8/8$ $\color{green}+100.00\%$	$\color{green}1/1$ $\color{green}+100.00\%$	$\color{green}128/128$ $\color{green}+100.00\%$
stats/base/dists/weibull/variance	$\color{green}128/128$ $\color{green}+100.00\%$	$\color{green}8/8$ $\color{green}+100.00\%$	$\color{green}1/1$ $\color{green}+100.00\%$	$\color{green}128/128$ $\color{green}+100.00\%$

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

[G4URAV001]

@anandkaranubc please review this PR

[Planeshifter]

LGTM. Thanks much, @G4URAV001!

[stdlib-bot]

PR Commit Message

bench: refactor random number generation in `stats/base/dists/weibull`

PR-URL: https://github.com/stdlib-js/stdlib/pull/5342
Closes: https://github.com/stdlib-js/stdlib/issues/4992

Co-authored-by: G4URAV001 <[email protected]>
Reviewed-by: Philipp Burckhardt <[email protected]>

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