filtron / MarkovKernels.jl

Marginal distributions and Markov kernels that play nice with each other for the purpose of Bayesian state estimation.
MIT License
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clean up matrix utilites + some more tests #11

Closed filtron closed 2 years ago

filtron commented 2 years ago

clean up utility code + some extra tests.

codecov-commenter commented 2 years ago

Codecov Report

Base: 54.33% // Head: 56.42% // Increases project coverage by +2.08% :tada:

Coverage data is based on head (6b4dd75) compared to base (3e938a5). Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #11 +/- ## ========================================== + Coverage 54.33% 56.42% +2.08% ========================================== Files 12 12 Lines 219 218 -1 ========================================== + Hits 119 123 +4 + Misses 100 95 -5 ``` | [Impacted Files](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/11?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+) | Coverage Δ | | |---|---|---| | [src/distributions/dirac.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/11/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2Rpc3RyaWJ1dGlvbnMvZGlyYWMuamw=) | `100.00% <100.00%> (+9.09%)` | :arrow_up: | | [src/matrix\_utilities.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/11/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL21hdHJpeF91dGlsaXRpZXMuamw=) | `100.00% <100.00%> (ø)` | | | [src/distributions/normal.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/11/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2Rpc3RyaWJ1dGlvbnMvbm9ybWFsLmps) | `91.30% <0.00%> (+8.69%)` | :arrow_up: | Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+)

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