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commented
2 years ago Codecov Report
Base: 83.50% // Head: 84.51% // Increases project coverage by +1.01% :tada:
Coverage data is based on head (
7a89730) compared to base (2c318ec). Patch coverage: 100.00% of modified lines in pull request are covered.
Additional details and impacted files
```diff @@ Coverage Diff @@ ## main #28 +/- ## ========================================== + Coverage 83.50% 84.51% +1.01% ========================================== Files 13 13 Lines 291 310 +19 ========================================== + Hits 243 262 +19 Misses 48 48 ``` | [Impacted Files](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/28?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/28/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2Rpc3RyaWJ1dGlvbnMvZGlyYWMuamw=) | `93.33% <ø> (ø)` | | | [src/MarkovKernels.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/28/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% <100.00%> (ø)` | | | [src/distributions/normal.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/28/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2Rpc3RyaWJ1dGlvbnMvbm9ybWFsLmps) | `98.03% <100.00%> (+0.42%)` | :arrow_up: | | [src/invert.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/28/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2ludmVydC5qbA==) | `100.00% <100.00%> (ø)` | | | [src/kernels/normalkernel.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/28/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2tlcm5lbHMvbm9ybWFsa2VybmVsLmps) | `91.42% <100.00%> (+2.96%)` | :arrow_up: | | [src/matrix\_utilities.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/28/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)` | | 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+):umbrella: View full report at Codecov.
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const CovarianceParameter{T} = Union{Symmetric{T}, Hermitian{T}, UniformScaling{T}, Factorization{T}} where {T}and add AbstractMatrix constructors for Normal / NormalKernel that check that the covariance is sym/herm before wrapping.