Fix warnings in test suite

[Copilot]

49 warnings fired across the test suite, spanning production code bugs, test data issues, and unfiltered third-party noise.

Production code

• circular_fourier_distribution.__sub__: Stop setting n post-construction; pass n=self.n directly to the constructor to avoid the ambiguous-n warning.
• abstract_hypersphere_subset_grid_distribution.__init__: Call normalize(warn_unnorm=False) — normalization at construction time is expected, not an error. Eliminated ~3,179 repeated warnings.
• abstract_spherical_harmonics_distribution.normalize_in_place: Added warn_unnorm=True parameter so callers can opt out of the "not normalized" warning when approximate normalization is expected.

Tests

• test_hyperspherical_mixture.test_pdf_4d: Meshgrid included the origin (0,0,0,0), causing divide-by-zero RuntimeWarning during normalization. Filter zero-norm points before dividing.
• Spherical harmonics tests (47 warnings): Tests using unnormalized coefficient matrices incidentally (not testing normalization) wrapped with warnings.catch_warnings(); testNormalization, which does test this behavior, updated to use assertWarns(UserWarning).
• test_evaluation_basic: summarize_filter_results and plot_results calls use 8 runs for speed, legitimately triggering "less than 1000 runs" warnings. Suppress with catch_warnings at the call site.

Config

• pyproject.toml: Added [tool.pytest.ini_options] filterwarnings to suppress third-party DeprecationWarnings from mpmath and bayesian_filters, and scipy.optimize.OptimizeWarning.

[github-actions]

✅MegaLinter analysis: Success

Descriptor	Linter	Files	Fixed	Errors	Warnings	Elapsed time
✅ COPYPASTE	jscpd	yes		no	no	5.97s
✅ JSON	prettier	2	0	0	0	0.54s
✅ JSON	v8r	2		0	0	2.59s
✅ MARKDOWN	markdownlint	1	0	0	0	0.57s
✅ MARKDOWN	markdown-table-formatter	1	0	0	0	0.18s
✅ PYTHON	bandit	247		0	0	2.59s
✅ PYTHON	black	247	1	0	0	4.01s
✅ PYTHON	flake8	247		0	0	1.51s
✅ PYTHON	isort	247	3	0	0	0.39s
✅ PYTHON	mypy	247		0	0	3.33s
✅ PYTHON	pylint	247		0	0	61.04s
✅ PYTHON	ruff	247	3	0	0	0.04s
✅ REPOSITORY	checkov	yes		no	no	19.7s
✅ REPOSITORY	gitleaks	yes		no	no	3.73s
✅ REPOSITORY	git_diff	yes		no	no	0.05s
✅ REPOSITORY	secretlint	yes		no	no	6.08s
✅ REPOSITORY	syft	yes		no	no	3.52s
✅ REPOSITORY	trivy-sbom	yes		no	no	1.52s
✅ REPOSITORY	trufflehog	yes		no	no	16.61s
✅ YAML	prettier	4	0	0	0	0.42s
✅ YAML	v8r	4		0	0	4.81s
✅ YAML	yamllint	4		0	0	0.38s

See detailed reports in MegaLinter artifacts

Your project could benefit from a custom flavor, which would allow you to run only the linters you need, and thus improve runtime performances. (Skip this info by defining FLAVOR_SUGGESTIONS: false)

• Documentation: Custom Flavors
• Command: npx mega-linter-runner@9.4.0 --custom-flavor-setup --custom-flavor-linters PYTHON_PYLINT,PYTHON_BLACK,PYTHON_FLAKE8,PYTHON_ISORT,PYTHON_BANDIT,PYTHON_MYPY,PYTHON_RUFF,COPYPASTE_JSCPD,JSON_V8R,JSON_PRETTIER,MARKDOWN_MARKDOWNLINT,MARKDOWN_MARKDOWN_TABLE_FORMATTER,REPOSITORY_CHECKOV,REPOSITORY_GIT_DIFF,REPOSITORY_GITLEAKS,REPOSITORY_SECRETLINT,REPOSITORY_SYFT,REPOSITORY_TRIVY_SBOM,REPOSITORY_TRUFFLEHOG,YAML_PRETTIER,YAML_YAMLLINT,YAML_V8R

Show us your support by starring ⭐ the repository

[github-actions]

Test Results

   12 files     12 suites   3h 7m 5s ⏱️
  514 tests   514 ✅     0 💤 0 ❌
6 380 runs  5 280 ✅ 1 100 💤 0 ❌

Results for commit 8ed9e11.