feat(stats): add C implementation for stats/base/dists/hypergeometric/kurtosis#10360
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Hey @ivishal-g, great job adding the C implementation! I took a look at the logic and the edge cases. Since the variance of the hypergeometric distribution goes to zero when I noticed @Planeshifter asked for a few cleanup items in his review (like changing If you need any help fixing those tests or modifying the |
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thank you @rautelaKamal, I’ve addressed the cleanup points you mentioned — updated the tests to use t.strictEqual( isnan(y), true ), fixed the copy-pasted K test block, and removed the unused pinf / floor dependencies from manifest.json. Feel free to take another look at the latest commit to see how I handled those changes. Let me know if anything else needs improvement. |
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The C implementation returned NaN for K=0, K=N, n=0, n=N, and N<=3,
whereas the JavaScript implementation returns -Infinity for the
variance-zero boundaries and only returns NaN for non-integer or
out-of-domain arguments. Use the same guard conditions as main.js
so both implementations produce identical results. Also add the C
API documentation section to the README.
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Generate integer-valued parameters via discreteUniform in the native
benchmark and via stdlib_base_ceil in the C benchmark and example,
matching sibling hypergeometric packages, instead of ad hoc casts.
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The C implementation PR should not modify the package's existing
keywords; restore the list from develop.
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PR Commit MessagePlease review the above commit message and make any necessary adjustments. |
Resolves #3660 .
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@stdlib/stats/base/dists/hypergeometric/kurtosis#3660Questions
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