bench: update random value generation

[hrshya]

Resolves none .

Description

What is the purpose of this pull request?

This pull request:

• Refactors random number generation in JS benchmarks for the stats/base/dists/weibull/* packages.
• Replaces uniform() from @stdlib/random/array/uniform for cleaner and more consistent code.
• Moves the random number generation outside the benchmarking loops.
• Refactors to use string interpolation.

Related Issues

Does this pull request have any related issues?

This pull request:

• resolves no related issues.

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.

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[stdlib-bot]

Coverage Report

Package	Statements	Branches	Functions	Lines
stats/base/dists/weibull/cdf	$\color{green}298/298$ $\color{green}+0.00%$	$\color{green}25/25$ $\color{green}+0.00%$	$\color{green}4/4$ $\color{green}+0.00%$	$\color{green}298/298$ $\color{green}+0.00%$
stats/base/dists/weibull/ctor	$\color{red}486/487$ $\color{green}+0.00%$	$\color{green}33/33$ $\color{green}+0.00%$	$\color{red}18/19$ $\color{green}+0.00%$	$\color{red}486/487$ $\color{green}+0.00%$
stats/base/dists/weibull/entropy	$\color{green}197/197$ $\color{green}+0.00%$	$\color{green}10/10$ $\color{green}+0.00%$	$\color{green}2/2$ $\color{green}+0.00%$	$\color{green}197/197$ $\color{green}+0.00%$
stats/base/dists/weibull/kurtosis	$\color{green}208/208$ $\color{green}+0.00%$	$\color{green}10/10$ $\color{green}+0.00%$	$\color{green}2/2$ $\color{green}+0.00%$	$\color{green}208/208$ $\color{green}+0.00%$
stats/base/dists/weibull/logcdf	$\color{green}311/311$ $\color{green}+0.00%$	$\color{green}28/28$ $\color{green}+0.00%$	$\color{green}4/4$ $\color{green}+0.00%$	$\color{green}311/311$ $\color{green}+0.00%$
stats/base/dists/weibull/logpdf	$\color{green}308/308$ $\color{green}+0.00%$	$\color{green}35/35$ $\color{green}+0.00%$	$\color{green}4/4$ $\color{green}+0.00%$	$\color{green}308/308$ $\color{green}+0.00%$
stats/base/dists/weibull/mean	$\color{green}195/195$ $\color{green}+0.00%$	$\color{green}10/10$ $\color{green}+0.00%$	$\color{green}2/2$ $\color{green}+0.00%$	$\color{green}195/195$ $\color{green}+0.00%$
stats/base/dists/weibull/median	$\color{green}197/197$ $\color{green}+0.00%$	$\color{green}10/10$ $\color{green}+0.00%$	$\color{green}2/2$ $\color{green}+0.00%$	$\color{green}197/197$ $\color{green}+0.00%$
stats/base/dists/weibull/mgf	$\color{green}344/344$ $\color{green}+0.00%$	$\color{green}29/29$ $\color{green}+0.00%$	$\color{green}4/4$ $\color{green}+0.00%$	$\color{green}344/344$ $\color{green}+0.00%$
stats/base/dists/weibull/mode	$\color{green}199/199$ $\color{green}+0.00%$	$\color{green}12/12$ $\color{green}+0.00%$	$\color{green}2/2$ $\color{green}+0.00%$	$\color{green}199/199$ $\color{green}+0.00%$
stats/base/dists/weibull/pdf	$\color{green}310/310$ $\color{green}+0.00%$	$\color{green}36/36$ $\color{green}+0.00%$	$\color{green}4/4$ $\color{green}+0.00%$	$\color{green}310/310$ $\color{green}+0.00%$
stats/base/dists/weibull/quantile	$\color{green}294/294$ $\color{green}+0.00%$	$\color{green}25/25$ $\color{green}+0.00%$	$\color{green}4/4$ $\color{green}+0.00%$	$\color{green}294/294$ $\color{green}+0.00%$
stats/base/dists/weibull/skewness	$\color{green}210/210$ $\color{green}+0.00%$	$\color{green}10/10$ $\color{green}+0.00%$	$\color{green}2/2$ $\color{green}+0.00%$	$\color{green}210/210$ $\color{green}+0.00%$
stats/base/dists/weibull/stdev	$\color{green}199/199$ $\color{green}+0.00%$	$\color{green}10/10$ $\color{green}+0.00%$	$\color{green}2/2$ $\color{green}+0.00%$	$\color{green}199/199$ $\color{green}+0.00%$
stats/base/dists/weibull/variance	$\color{green}199/199$ $\color{green}+0.00%$	$\color{green}10/10$ $\color{green}+0.00%$	$\color{green}2/2$ $\color{green}+0.00%$	$\color{green}199/199$ $\color{green}+0.00%$

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