Validate Euclidean sampler integer arguments

[FlorianPfaff]

Summary

• Reject non-integral n_samples, n_candidates, n_points, and dimension arguments in the Euclidean deterministic samplers instead of silently truncating them with int(...).
• Preserve integer-like scalar values such as 0-D NumPy integer arrays and finite floating scalars with exact integer value.
• Add focused regression coverage for Fibonacci, Sobol, Halton, and rejection-sampler argument validation.

Rationale

The deterministic sampler APIs treat counts and dimensions as discrete quantities. Before this change, calls such as get_uniform_samples(2.5, 2) or sample_rejection(..., dim=1.5) were accepted and silently truncated to different problems, which can mask configuration errors and produce misleading sample sets.

Validation

• Connector compare confirms this branch is 2 commits ahead of main and 0 behind.
• Added tests/test_euclidean_sampler_integer_args.py.
• Full local pytest could not be run because this execution environment cannot clone/fetch from github.com; repository CI should run the focused sampler tests and full suite.

[github-actions]

✅MegaLinter analysis: Success

Descriptor	Linter	Files	Fixed	Errors	Warnings	Elapsed time
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✅ JSON	prettier	7	0	0	0	0.83s
✅ JSON	v8r	7		0	0	4.88s
✅ MARKDOWN	markdownlint	66	0	0	0	1.75s
✅ MARKDOWN	markdown-table-formatter	66	0	0	0	0.79s
✅ PYTHON	black	766	1	0	0	34.38s
✅ PYTHON	isort	766	2	0	0	2.12s
✅ REPOSITORY	checkov	yes		no	no	42.07s
✅ REPOSITORY	gitleaks	yes		no	no	15.45s
✅ REPOSITORY	git_diff	yes		no	no	0.06s
✅ REPOSITORY	secretlint	yes		no	no	22.96s
✅ REPOSITORY	syft	yes		no	no	9.26s
✅ REPOSITORY	trivy-sbom	yes		no	no	4.56s
✅ REPOSITORY	trufflehog	yes		no	no	20.48s
✅ YAML	prettier	11	0	0	0	0.68s
✅ YAML	v8r	11		0	0	11.17s
✅ YAML	yamllint	11		0	0	0.44s

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