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@hrshya hrshya commented Jan 18, 2026

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/planck/* packages.
  • Replaces uniform() from @stdlib/random/array/uniform for cleaner and more consistent code.
  • Moves the random number generation outside the benchmarking loops.
  • Updates the test messages to follow code conventions.

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.


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@stdlib-bot stdlib-bot added Statistics Issue or pull request related to statistical functionality. Needs Review A pull request which needs code review. labels Jan 18, 2026
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stdlib-bot commented Jan 18, 2026

Coverage Report

Package Statements Branches Functions Lines
stats/base/dists/planck/cdf $\color{green}279/279$
$\color{green}+0.00%$
$\color{green}25/25$
$\color{green}+0.00%$
$\color{green}4/4$
$\color{green}+0.00%$
$\color{green}279/279$
$\color{green}+0.00%$
stats/base/dists/planck/entropy $\color{green}170/170$
$\color{green}+0.00%$
$\color{green}8/8$
$\color{green}+0.00%$
$\color{green}2/2$
$\color{green}+0.00%$
$\color{green}170/170$
$\color{green}+0.00%$
stats/base/dists/planck/kurtosis $\color{green}162/162$
$\color{green}+0.00%$
$\color{green}8/8$
$\color{green}+0.00%$
$\color{green}2/2$
$\color{green}+0.00%$
$\color{green}162/162$
$\color{green}+0.00%$
stats/base/dists/planck/logcdf $\color{green}283/283$
$\color{green}+0.00%$
$\color{green}25/25$
$\color{green}+0.00%$
$\color{green}4/4$
$\color{green}+0.00%$
$\color{green}283/283$
$\color{green}+0.00%$
stats/base/dists/planck/logpmf $\color{green}278/278$
$\color{green}+0.00%$
$\color{green}21/21$
$\color{green}+0.00%$
$\color{green}4/4$
$\color{green}+0.00%$
$\color{green}278/278$
$\color{green}+0.00%$
stats/base/dists/planck/mean $\color{green}170/170$
$\color{green}+0.00%$
$\color{green}8/8$
$\color{green}+0.00%$
$\color{green}2/2$
$\color{green}+0.00%$
$\color{green}170/170$
$\color{green}+0.00%$
stats/base/dists/planck/median $\color{green}163/163$
$\color{green}+0.00%$
$\color{green}8/8$
$\color{green}+0.00%$
$\color{green}2/2$
$\color{green}+0.00%$
$\color{green}163/163$
$\color{green}+0.00%$
stats/base/dists/planck/mgf $\color{green}252/252$
$\color{green}+0.00%$
$\color{green}17/17$
$\color{green}+0.00%$
$\color{green}4/4$
$\color{green}+0.00%$
$\color{green}252/252$
$\color{green}+0.00%$
stats/base/dists/planck/mode $\color{green}161/161$
$\color{green}+0.00%$
$\color{green}8/8$
$\color{green}+0.00%$
$\color{green}2/2$
$\color{green}+0.00%$
$\color{green}161/161$
$\color{green}+0.00%$
stats/base/dists/planck/pmf $\color{green}276/276$
$\color{green}+0.00%$
$\color{green}21/21$
$\color{green}+0.00%$
$\color{green}4/4$
$\color{green}+0.00%$
$\color{green}276/276$
$\color{green}+0.00%$
stats/base/dists/planck/quantile $\color{green}286/286$
$\color{green}+0.00%$
$\color{green}25/25$
$\color{green}+0.00%$
$\color{green}4/4$
$\color{green}+0.00%$
$\color{green}286/286$
$\color{green}+0.00%$
stats/base/dists/planck/skewness $\color{green}162/162$
$\color{green}+0.00%$
$\color{green}8/8$
$\color{green}+0.00%$
$\color{green}2/2$
$\color{green}+0.00%$
$\color{green}162/162$
$\color{green}+0.00%$
stats/base/dists/planck/stdev $\color{green}166/166$
$\color{green}+0.00%$
$\color{green}8/8$
$\color{green}+0.00%$
$\color{green}2/2$
$\color{green}+0.00%$
$\color{green}166/166$
$\color{green}+0.00%$
stats/base/dists/planck/variance $\color{green}165/165$
$\color{green}+0.00%$
$\color{green}8/8$
$\color{green}+0.00%$
$\color{green}2/2$
$\color{green}+0.00%$
$\color{green}165/165$
$\color{green}+0.00%$

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

@kgryte kgryte added Benchmarks Pull requests adding or improving benchmarks for measuring performance. difficulty: 1 Low degree of difficulty. Should be straightforward to implement and/or resolve. labels Jan 25, 2026
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LGTM

@kgryte kgryte removed the Needs Review A pull request which needs code review. label Jan 26, 2026
@kgryte kgryte merged commit c404057 into stdlib-js:develop Jan 26, 2026
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Benchmarks Pull requests adding or improving benchmarks for measuring performance. difficulty: 1 Low degree of difficulty. Should be straightforward to implement and/or resolve. review: 5 Statistics Issue or pull request related to statistical functionality.

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4 participants