test: migrate stats/base/dists/bernoulli/entropy to ULP-based assertions

[kgryte]

Resolves a part of #11352.

Description

What is the purpose of this pull request?

This pull request:

• migrates stats/base/dists/bernoulli/entropy from relative tolerance (EPS) testing to ULP difference testing in both test/test.js and test/test.native.js.
• replaces the delta/tol comparison with t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' ); and adds the @stdlib/assert/is-almost-same-value require, dropping the now-unused @stdlib/math/base/special/abs and @stdlib/constants/float64/eps requires.

Final ULP constant: 0 (both test/test.js and test/test.native.js).

The bound was tightened empirically. Starting from a high bound (64) and lowering, the minimum integer that still passes over the full fixture set is 0: measuring the minimum required ULP distance for every one of the 1000 Julia fixtures in test/fixtures/julia/data.json yields 0 for all 1000 (i.e., the JavaScript implementation reproduces every fixture value exactly), so 0 is both the measured minimum and the floor. The suite was run twice at the final bound with identical results (1009/1009 assertions passing), confirming determinism.

Note: test/test.native.js uses the same bound of 0, matching the convention used by already-migrated sibling packages (e.g. stats/base/dists/bernoulli/skewness). The native tests self-skip when the add-on is not built, and the add-on could not be compiled in the environment used to prepare this change, so the native bound is carried over from the JavaScript measurement rather than measured directly. Please flag if CI's native job disagrees.

Related Issues

Does this pull request have any related issues?

This pull request has the following related issues:

• [RFC]: Migrate math/base/special packages from relative tolerance testing to ULP difference testing (tracking issue) #11352

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.

Only the two test files are modified; no implementation, fixture, or documentation changes. Lint (etc/eslint/.eslintrc.tests.js) is clean for both files.

Checklist

Please ensure the following tasks are completed before submitting this pull request.

• Read, understood, and followed the contributing guidelines.

AI Assistance

When authoring the changes proposed in this PR, did you use any kind of AI assistance?

• Yes
• No

If you answered "yes" above, how did you use AI assistance?

• Code generation (e.g., when writing an implementation or fixing a bug)
• Test/benchmark generation
• Documentation (including examples)
• Research and understanding

Disclosure

If you answered "yes" to using AI assistance, please provide a short disclosure indicating how you used AI assistance. This helps reviewers determine how much scrutiny to apply when reviewing your contribution. Example disclosures: "This PR was written primarily by Claude Code." or "I consulted ChatGPT to understand the codebase, but the proposed changes were fully authored manually by myself.".

This PR was written primarily by Claude Code, which also measured the ULP bound against the fixture set and ran the tests and linter.

---

@stdlib-js/reviewers

🤖 Generated with Claude Code

https://claude.ai/code/session_01NUvo5jMirGmycRpJjKXJLT

---

Generated by Claude Code

[stdlib-bot]

Coverage Report

Package	Statements	Branches	Functions	Lines
stats/base/dists/bernoulli/entropy	$\\color{green}179/179$ $\\color{green}+100.00\\%$	$\\color{green}12/12$ $\\color{green}+100.00\\%$	$\\color{green}2/2$ $\\color{green}+100.00\\%$	$\\color{green}179/179$ $\\color{green}+100.00\\%$

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