test: migrate stats/strided/dsem to ULP-based assertions

[Planeshifter]

Resolves a part of #11352.

Description

What is the purpose of this pull request?

This pull request:

• migrates the tests for stats/strided/dsem from relative-tolerance-based floating-point comparisons to ULP-based comparisons using @stdlib/assert/is-almost-same-value, per the migration described in [RFC]: Migrate math/base/special packages from relative tolerance testing to ULP difference testing (tracking issue) #11352.
• replaces the delta/tol tolerance computation (delta = abs( v - expected ); tol = 1.0 * EPS * abs( expected ); t.strictEqual( delta <= tol, true, ... )) in test/test.dsem.js, test/test.dsem.native.js, test/test.ndarray.js, and test/test.ndarray.native.js with t.strictEqual( isAlmostSameValue( v, expected, 1 ), true, 'returns expected value' ).
• the minimum ULP tolerance required for all assertions to pass was determined empirically to be 1 ULP (0 ULP fails for both the population and sample standard-error-of-the-mean assertions). The full test suite was run twice at this value to confirm deterministic results.

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.

No.

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 authored by Claude Code, run as an automated scheduled task against issue #11352: it searched the codebase for a qualifying package with relative-tolerance tests, converted the four test files to use isAlmostSameValue, and determined the minimum passing ULP value (1) empirically by running the test suite at decreasing values.

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Generated by Claude Code

[stdlib-bot]

Coverage Report

Package	Statements	Branches	Functions	Lines
stats/strided/dsem	$\\color{green}349/349$ $\\color{green}+100.00\\%$	$\\color{green}13/13$ $\\color{green}+100.00\\%$	$\\color{green}4/4$ $\\color{green}+100.00\\%$	$\\color{green}349/349$ $\\color{green}+100.00\\%$

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