Fix PyTorch one_hot scalar labels

[FlorianPfaff]

Summary

• Add a PyTorch one_hot compatibility hook that treats scalar integer labels as label values instead of tensor sizes.
• Keep public and raw PyTorch backend one_hot synchronized after package import.
• Add PyTorch-specific regression coverage for scalar-label one-hot encoding.

Bug fixed

The PyTorch backend converted non-tensor labels with torch.LongTensor(labels). For scalar integer labels such as 1, PyTorch interprets the integer as a tensor length and allocates an uninitialized label tensor, which can raise out-of-range errors or produce nondeterministic results. The new hook uses scalar-index normalization for scalar labels while preserving the existing sequence-label behavior.

Testing

• Not run in this GitHub-only session; focused regression tests were added.

[github-actions]

✅MegaLinter analysis: Success

Descriptor	Linter	Files	Fixed	Errors	Warnings	Elapsed time
✅ COPYPASTE	jscpd	yes		no	no	79.73s
✅ JSON	prettier	7	0	0	0	0.83s
✅ JSON	v8r	7		0	0	4.74s
✅ MARKDOWN	markdownlint	68	0	0	0	2.07s
✅ MARKDOWN	markdown-table-formatter	68	0	0	0	1.0s
✅ PYTHON	black	1187	29	0	0	69.77s
✅ PYTHON	isort	1187	53	0	0	7.28s
✅ REPOSITORY	checkov	yes		no	no	48.59s
✅ REPOSITORY	gitleaks	yes		no	no	12.57s
✅ REPOSITORY	git_diff	yes		no	no	0.21s
✅ REPOSITORY	secretlint	yes		no	no	45.78s
✅ REPOSITORY	syft	yes		no	no	4.31s
✅ REPOSITORY	trivy-sbom	yes		no	no	7.45s
✅ REPOSITORY	trufflehog	yes		no	no	21.26s
✅ YAML	prettier	11	0	0	0	0.77s
✅ YAML	v8r	11		0	0	12.16s
✅ YAML	yamllint	11		0	0	0.55s

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