gaurav-arya / StochasticAD.jl

Research package for automatic differentiation of programs containing discrete randomness.
MIT License
198 stars 16 forks source link

Switch to using singleton types to specify backend algorithm #72

Closed gaurav-arya closed 1 year ago

codecov-commenter commented 1 year ago

Codecov Report

Patch coverage: 83.33% and project coverage change: +0.06 :tada:

Comparison is base (a52f76d) 90.30% compared to head (b2e859f) 90.37%.

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Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #72 +/- ## ========================================== + Coverage 90.30% 90.37% +0.06% ========================================== Files 12 12 Lines 557 561 +4 ========================================== + Hits 503 507 +4 Misses 54 54 ``` | [Impacted Files](https://codecov.io/gh/gaurav-arya/StochasticAD.jl/pull/72?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Gaurav+Arya) | Coverage Δ | | |---|---|---| | [src/backends/smoothed.jl](https://codecov.io/gh/gaurav-arya/StochasticAD.jl/pull/72?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Gaurav+Arya#diff-c3JjL2JhY2tlbmRzL3Ntb290aGVkLmps) | `81.81% <ø> (ø)` | | | [src/finite\_infinitesimals.jl](https://codecov.io/gh/gaurav-arya/StochasticAD.jl/pull/72?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Gaurav+Arya#diff-c3JjL2Zpbml0ZV9pbmZpbml0ZXNpbWFscy5qbA==) | `100.00% <ø> (ø)` | | | [src/stochastic\_triple.jl](https://codecov.io/gh/gaurav-arya/StochasticAD.jl/pull/72?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Gaurav+Arya#diff-c3JjL3N0b2NoYXN0aWNfdHJpcGxlLmps) | `76.47% <60.00%> (ø)` | | | [src/backends/dict.jl](https://codecov.io/gh/gaurav-arya/StochasticAD.jl/pull/72?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Gaurav+Arya#diff-c3JjL2JhY2tlbmRzL2RpY3Quamw=) | `90.47% <100.00%> (+0.15%)` | :arrow_up: | | [src/backends/pruned.jl](https://codecov.io/gh/gaurav-arya/StochasticAD.jl/pull/72?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Gaurav+Arya#diff-c3JjL2JhY2tlbmRzL3BydW5lZC5qbA==) | `91.30% <100.00%> (+0.12%)` | :arrow_up: | | [src/backends/pruned\_aggressive.jl](https://codecov.io/gh/gaurav-arya/StochasticAD.jl/pull/72?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Gaurav+Arya#diff-c3JjL2JhY2tlbmRzL3BydW5lZF9hZ2dyZXNzaXZlLmps) | `91.07% <100.00%> (+0.33%)` | :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=Gaurav+Arya). 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=Gaurav+Arya)

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mschauer commented 1 year ago

That's good