[dependabot]

🖱️ Developer experience

• Pull requests now request a review from @ComPWA/maintainers automatically through a new CODEOWNERS file.
• Documentation can use GitHub-style alerts such as > [!TIP], which also render on GitHub, through the MyST alert extension (myst-parser>=5.1); existing admonitions use this syntax now.

🔨 Maintenance

• Read the Docs installs the doc dependency group with its native uv support instead of a custom Pixi install script, and fails the build on Sphinx warnings.
• Code and benchmarks are adapted to the upgraded ty type checker.

Squash commit messages

* DX: use GitHub-style alerts in the documentation
* MAINT: build Read the Docs with its native uv support

[redeboer]

⚠️ Performance Alert ⚠️

Possible performance regression was detected for benchmark 'TensorWaves benchmark results'.
Benchmark result of this commit is worse than the previous benchmark result exceeding threshold 2.

Benchmark suite	Current: 7f41333	Previous: 96c79ad	Ratio
benchmarks/expression.py::test_fit[1000-ScipyMinimizer-numpy]	7.18815624244307 iter/sec (stddev: 0.0006080932125984401)	16.20089733282377 iter/sec (stddev: 0.0002919331648110754)	2.25
benchmarks/expression.py::test_fit[1000-ScipyMinimizer-numba]	7.183023042839531 iter/sec (stddev: 0.0003092659861982649)	15.719486023422135 iter/sec (stddev: 0.00020436080552564467)	2.19
benchmarks/expression.py::test_fit[1000-ScipyMinimizer-tf]	0.621839289762586 iter/sec (stddev: 0.006087625260976393)	1.4510339953328852 iter/sec (stddev: 0.002136985793101471)	2.33
benchmarks/unbinned_nll.py::test_unbinned_nll_normalization_formula[original-numpy]	28.682961007777358 iter/sec (stddev: 0.00025618038814411733)	83.16394792483862 iter/sec (stddev: 0.00007097826620654797)	2.90
benchmarks/unbinned_nll.py::test_unbinned_nll_normalization_formula[original-tensorflow]	60.48374111943979 iter/sec (stddev: 0.0003688338925402337)	127.70369911146068 iter/sec (stddev: 0.00019483109407062498)	2.11
benchmarks/unbinned_nll.py::test_unbinned_nll_normalization_formula[optimized-numpy]	37.38113562909669 iter/sec (stddev: 0.00017562547471914526)	128.90182339052615 iter/sec (stddev: 0.00007047725297610706)	3.45
benchmarks/unbinned_nll.py::test_unbinned_nll_normalization_formula[optimized-tensorflow]	61.8025133114164 iter/sec (stddev: 0.0015130983055766517)	157.36058719247046 iter/sec (stddev: 0.0002361793019890102)	2.55
benchmarks/unbinned_nll.py::test_unbinned_nll_estimator[numpy]	126.78273638067525 iter/sec (stddev: 0.00017405114139234856)	342.6441228883796 iter/sec (stddev: 0.0001794193509548101)	2.70
benchmarks/unbinned_nll.py::test_unbinned_nll_estimator[numba]	100.29231085487463 iter/sec (stddev: 0.00008182487637235371)	535.093309487275 iter/sec (stddev: 0.00012515060065815384)	5.34

This comment was automatically generated by workflow using github-action-benchmark.