Fix PyTorch multivariate_normal array-like inputs

[FlorianPfaff]

Summary

• coerce PyTorch random.multivariate_normal mean/covariance arguments to tensors before constructing torch.distributions.MultivariateNormal
• preserve tensor device placement and floating precision when either argument is already a tensor
• add backend-random regression coverage for NumPy-style Python sequence inputs

Rationale

The NumPy/JAX-style backend contract accepts ordinary array-like inputs for random sampling helpers. On the PyTorch backend, random.multivariate_normal([0.0, 0.0], [[1.0, 0.0], [0.0, 1.0]], size=(6,)) previously forwarded lists directly to torch.distributions.MultivariateNormal, which expects tensor arguments.

Validation

• Connector compare confirms this branch is ahead of current main by 2 commits and behind by 0.
• Local full pytest could not be run because the execution container cannot resolve github.com; PR CI should run the focused backend-random regression and full matrix.

[github-actions]

✅MegaLinter analysis: Success

Descriptor	Linter	Files	Fixed	Errors	Warnings	Elapsed time
✅ COPYPASTE	jscpd	yes		no	no	49.73s
✅ JSON	prettier	7	0	0	0	0.85s
✅ JSON	v8r	7		0	0	6.38s
✅ MARKDOWN	markdownlint	66	0	0	0	1.8s
✅ MARKDOWN	markdown-table-formatter	66	0	0	0	0.62s
✅ PYTHON	black	762	0	0	0	39.2s
✅ PYTHON	isort	762	0	0	0	2.32s
✅ REPOSITORY	checkov	yes		no	no	45.29s
✅ REPOSITORY	gitleaks	yes		no	no	17.13s
✅ REPOSITORY	git_diff	yes		no	no	0.11s
✅ REPOSITORY	secretlint	yes		no	no	22.07s
✅ REPOSITORY	syft	yes		no	no	4.37s
✅ REPOSITORY	trivy-sbom	yes		no	no	5.82s
✅ REPOSITORY	trufflehog	yes		no	no	22.84s
✅ YAML	prettier	11	0	0	0	0.75s
✅ YAML	v8r	11		0	0	12.67s
✅ YAML	yamllint	11		0	0	0.38s

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