Validate multinomial pvals in JAX and PyTorch backends

[FlorianPfaff]

Summary

• add real-numeric validation for random.multinomial(..., pvals=...) in the JAX backend
• add matching real-numeric validation for the PyTorch backend
• add optional-backend regression tests covering boolean and complex pvals rejection while preserving valid real inputs

Bug fixed

The NumPy backend already rejects boolean and other non-real multinomial probability vectors, but the JAX and PyTorch backends cast pvals directly to floating-point tensors/arrays. That silently accepted boolean vectors such as [True, False] as probabilities instead of enforcing the PyRecEst backend contract consistently.

Validation

• Used GitHub compare/fetch inspection to verify that only the intended source and regression-test files changed.
• The execution sandbox cannot resolve github.com, so I could not clone/install the repository to run full pytest locally. The added tests are isolated optional-backend pytest cases and skip cleanly when JAX/PyTorch are unavailable.

[github-actions]

✅MegaLinter analysis: Success

Descriptor	Linter	Files	Fixed	Errors	Warnings	Elapsed time
✅ COPYPASTE	jscpd	yes		no	no	76.63s
✅ JSON	prettier	7	0	0	0	0.82s
✅ JSON	v8r	7		0	0	5.15s
✅ MARKDOWN	markdownlint	68	0	0	0	1.99s
✅ MARKDOWN	markdown-table-formatter	68	0	0	0	0.76s
✅ PYTHON	black	1049	49	0	0	67.52s
✅ PYTHON	isort	1049	71	0	0	4.81s
✅ REPOSITORY	checkov	yes		no	no	49.85s
✅ REPOSITORY	gitleaks	yes		no	no	8.61s
✅ REPOSITORY	git_diff	yes		no	no	0.19s
✅ REPOSITORY	secretlint	yes		no	no	33.22s
✅ REPOSITORY	syft	yes		no	no	4.04s
✅ REPOSITORY	trivy-sbom	yes		no	no	12.21s
✅ REPOSITORY	trufflehog	yes		no	no	22.22s
✅ YAML	prettier	11	0	0	0	0.75s
✅ YAML	v8r	11		0	0	12.15s
✅ YAML	yamllint	11		0	0	0.41s

Notices

📣 MegaLinter 9.5.0 is out! Discover the new features and security recommendations in the release announcement. (Skip this info by defining SECURITY_SUGGESTIONS: false)

See detailed reports in MegaLinter artifacts

Your project could benefit from a custom flavor, which would allow you to run only the linters you need, and thus improve runtime performances. (Skip this info by defining FLAVOR_SUGGESTIONS: false)

• Documentation: Custom Flavors
• Command: npx mega-linter-runner@9.5.0 --custom-flavor-setup --custom-flavor-linters PYTHON_BLACK,PYTHON_ISORT,COPYPASTE_JSCPD,JSON_V8R,JSON_PRETTIER,MARKDOWN_MARKDOWNLINT,MARKDOWN_MARKDOWN_TABLE_FORMATTER,REPOSITORY_CHECKOV,REPOSITORY_GIT_DIFF,REPOSITORY_GITLEAKS,REPOSITORY_SECRETLINT,REPOSITORY_SYFT,REPOSITORY_TRIVY_SBOM,REPOSITORY_TRUFFLEHOG,YAML_PRETTIER,YAML_YAMLLINT,YAML_V8R

Show us your support by starring ⭐ the repository