[codex] Add numerical circular KL divergence

[FlorianPfaff]

Summary

• Add AbstractCircularDistribution.kld_numerical(other) for numerical Kullback-Leibler divergence over the circular domain.
• Cover the new method with circular distribution tests for zero self-divergence and KL(VonMises || uniform) against the entropy identity.

Validation

• Inspected the generated diff through the GitHub API.
• Local test execution was not available in this read-only workspace; CI should run on the PR branch.

[github-actions]

✅MegaLinter analysis: Success

Descriptor	Linter	Files	Fixed	Errors	Warnings	Elapsed time
✅ COPYPASTE	jscpd	yes		no	no	11.23s
✅ JSON	prettier	2	0	0	0	0.41s
✅ JSON	v8r	2		0	0	2.4s
✅ MARKDOWN	markdownlint	2	0	0	0	0.68s
✅ MARKDOWN	markdown-table-formatter	2	0	0	0	0.24s
✅ PYTHON	bandit	385		0	0	5.54s
✅ PYTHON	black	385	4	0	0	7.92s
✅ PYTHON	flake8	385		0	0	2.96s
✅ PYTHON	isort	385	5	0	0	0.73s
✅ PYTHON	mypy	385		0	0	5.13s
✅ PYTHON	pylint	385		0	0	120.62s
✅ PYTHON	ruff	385	5	0	0	0.07s
✅ REPOSITORY	checkov	yes		no	no	24.53s
✅ REPOSITORY	gitleaks	yes		no	no	6.8s
✅ REPOSITORY	git_diff	yes		no	no	0.03s
✅ REPOSITORY	secretlint	yes		no	no	7.39s
✅ REPOSITORY	syft	yes		no	no	3.32s
✅ REPOSITORY	trivy-sbom	yes		no	no	2.32s
✅ REPOSITORY	trufflehog	yes		no	no	19.37s
✅ YAML	prettier	4	0	0	0	0.44s
✅ YAML	v8r	4		0	0	4.65s
✅ YAML	yamllint	4		0	0	0.46s

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