Reject non-boolean circular Fourier scaling flags

[FlorianPfaff]

Summary

• validate CircularFourierDistribution.multiplied_by_n as an actual boolean instead of relying on Python truthiness
• validate store_values_multiplied_by_n in both Fourier factory paths
• preserve support for NumPy boolean scalars
• add regression tests for strings, integers, None, factory calls, and NumPy booleans

Why

The current implementation stores these public scaling flags without validation. Values such as multiplied_by_n="False" are truthy in Python, so they silently enable coefficient scaling and change pdf() / integrate() results instead of behaving as false or failing fast. The factory flag has the same problem and can silently choose the wrong coefficient normalization.

The fix uses a small distribution-local strict boolean validator so it does not introduce a distributions -> models -> distributions import cycle.

Testing

Added focused regressions in tests/distributions/test_circular_fourier_bool_validation.py. Full repository CI validates backend and documentation compatibility.

[github-actions]

✅MegaLinter analysis: Success

Descriptor	Linter	Files	Fixed	Errors	Max errors	Warnings	Elapsed time
✅ COPYPASTE	jscpd	yes		no		no	7.27s
✅ JSON	prettier	7	0	0		0	0.64s
✅ JSON	v8r	7		0		0	4.93s
✅ MARKDOWN	markdownlint	68	0	0		0	1.91s
✅ MARKDOWN	markdown-table-formatter	68	0	0		0	0.41s
✅ PYTHON	black	2031	0	0		0	57.09s
✅ PYTHON	isort	2031	1	0		0	2.75s
✅ REPOSITORY	betterleaks	yes		no		no	1.18s
✅ REPOSITORY	checkov	yes		no		no	33.03s
✅ REPOSITORY	git_diff	yes		no		no	0.13s
✅ REPOSITORY	secretlint	yes		no		no	99.57s
✅ REPOSITORY	syft	yes		no		no	2.8s
✅ REPOSITORY	trivy-sbom	yes		no		no	2.83s
✅ YAML	prettier	11	0	0		0	0.61s
✅ YAML	v8r	11		0		0	15.57s
✅ YAML	yamllint	11		0		0	0.83s

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