Fix hypertoroidal MH defaults and infinite-angle handling

[FlorianPfaff]

Summary

• allow default hypertoroidal Metropolis–Hastings sampling when the distribution has no unique mean direction by falling back to a valid zero-angle start point
• reject infinite inputs in angular_error instead of propagating them through modulo arithmetic into NaNs
• add focused regressions for uniform hypertoroidal MH sampling and ±infinity angle inputs

Bugs fixed

1. HypertoroidalUniformDistribution.sample_metropolis_hastings(...) inherited a default start-point path that unconditionally called mean_direction(). Uniform distributions deliberately have no unique mean, so the sampler raised before sampling despite MH being well-defined.
2. AbstractHypertoroidalDistribution.angular_error(...) checked only NaNs. ±infinity passed validation, then mod(inf, 2π) produced NaN, silently contaminating the result.

Validation

The branch is a two-commit, two-file change with focused regression tests. CI should exercise the repository's configured backend/test matrix.

[github-actions]

✅MegaLinter analysis: Success

Descriptor	Linter	Files	Fixed	Errors	Max errors	Warnings	Elapsed time
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✅ JSON	prettier	7	0	0		0	0.4s
✅ JSON	v8r	7		0		0	4.1s
✅ MARKDOWN	markdownlint	68	0	0		0	1.51s
✅ MARKDOWN	markdown-table-formatter	68	0	0		0	0.26s
✅ PYTHON	black	2036	1	0		0	45.58s
✅ PYTHON	isort	2036	4	0		0	2.0s
✅ REPOSITORY	betterleaks	yes		no		no	0.95s
✅ REPOSITORY	checkov	yes		no		no	26.64s
✅ REPOSITORY	git_diff	yes		no		no	0.09s
✅ REPOSITORY	secretlint	yes		no		no	74.48s
✅ REPOSITORY	syft	yes		no		no	2.06s
✅ REPOSITORY	trivy-sbom	yes		no		no	1.6s
✅ YAML	prettier	11	0	0		0	0.39s
✅ YAML	v8r	11		0		0	10.01s
✅ YAML	yamllint	11		0		0	0.76s

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