JuliaDiff / TaylorDiff.jl

Taylor-mode automatic differentiation for higher-order derivatives
https://juliadiff.org/TaylorDiff.jl/
MIT License
73 stars 8 forks source link

add support for erf #49

Closed rcalxrc08 closed 1 year ago

rcalxrc08 commented 1 year ago

solves #48

mBarreau commented 1 year ago

The manifest file must be added as well.

rcalxrc08 commented 1 year ago

Why don't you instantiate the package? Usually you don't commit the Manifest file. Anyway I don't have julia 1.9.0, my manifest for the benchmarks is quite different from the commited one.

codecov[bot] commented 1 year ago

Codecov Report

Patch coverage: 100.00% and project coverage change: +0.05% :tada:

Comparison is base (41c99f4) 86.25% compared to head (2842515) 86.30%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #49 +/- ## ========================================== + Coverage 86.25% 86.30% +0.05% ========================================== Files 6 6 Lines 240 241 +1 ========================================== + Hits 207 208 +1 Misses 33 33 ``` | [Files Changed](https://app.codecov.io/gh/JuliaDiff/TaylorDiff.jl/pull/49?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaDiff) | Coverage Δ | | |---|---|---| | [src/codegen.jl](https://app.codecov.io/gh/JuliaDiff/TaylorDiff.jl/pull/49?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaDiff#diff-c3JjL2NvZGVnZW4uamw=) | `100.00% <100.00%> (ø)` | |

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tansongchen commented 1 year ago

The reason for committing Manifest.toml to this repo is that we want exactly the same version of dependency packages on each benchmark run, so that we can make sure the time difference from run to run is caused by a change of our performance, not others. Looks good, will merge