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filtron / MarkovKernels.jl

Marginal distributions and Markov kernels that play nice with each other for the purpose of Bayesian state estimation.
MIT License
17 stars 2 forks source link

no sampling #36

Closed filtron closed 1 year ago

codecov-commenter commented 1 year ago

Codecov Report

Base: 86.44% // Head: 96.22% // Increases project coverage by +9.78% :tada:

Coverage data is based on head (e6a06e7) compared to base (dcbfc5e). Patch has no changes to coverable lines.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #36 +/- ## ========================================== + Coverage 86.44% 96.22% +9.78% ========================================== Files 14 13 -1 Lines 354 318 -36 ========================================== Hits 306 306 + Misses 48 12 -36 ``` | [Impacted Files](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/36?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+) | Coverage Δ | | |---|---|---| | [src/MarkovKernels.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/36/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL01hcmtvdktlcm5lbHMuamw=) | `100.00% <ø> (ø)` | | 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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filtron commented 1 year ago

something is broken with the JuliaFormatter check. Sort later.