Reject NaN Gaussian hypothesis log weights

[FlorianPfaff]

Summary

• Reject NaN values in normalize_log_weights instead of silently returning uniform weights.
• Prevent moment_match_gaussian_hypotheses from assigning posterior mass to hypotheses with invalid NaN log weights.
• Add regression coverage for direct normalization and Gaussian hypothesis moment matching.

Bug

normalize_log_weights previously let np.max([0.0, np.nan]) become NaN, then treated the non-finite maximum as a degenerate all-zero case and returned uniform weights. This silently gave invalid hypotheses nonzero posterior mass.

Testing

• Not run locally; this environment cannot clone or execute the GitHub repository because outbound DNS resolution to GitHub is unavailable. The change is covered by a targeted regression test in tests/filters/test_gaussian_hypothesis_mixture.py.

[github-actions]

✅MegaLinter analysis: Success

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✅ PYTHON	black	871	1	0	0	51.18s
✅ PYTHON	isort	871	2	0	0	3.1s
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✅ REPOSITORY	gitleaks	yes		no	no	11.35s
✅ REPOSITORY	git_diff	yes		no	no	0.07s
✅ REPOSITORY	secretlint	yes		no	no	26.81s
✅ REPOSITORY	syft	yes		no	no	4.91s
✅ REPOSITORY	trivy-sbom	yes		no	no	6.79s
✅ REPOSITORY	trufflehog	yes		no	no	24.7s
✅ YAML	prettier	11	0	0	0	0.81s
✅ YAML	v8r	11		0	0	11.62s
✅ YAML	yamllint	11		0	0	0.6s

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