dfdx / Yota.jl

Reverse-mode automatic differentiation in Julia
MIT License
158 stars 12 forks source link

Adapt for Julia 1.9 #137

Closed dfdx closed 1 year ago

codecov-commenter commented 1 year ago

Codecov Report

Patch coverage: 100.00% and project coverage change: +0.11 :tada:

Comparison is base (b9ae446) 81.70% compared to head (3352d5f) 81.81%.

:exclamation: Your organization is not using the GitHub App Integration. As a result you may experience degraded service beginning May 15th. Please install the Github App Integration for your organization. Read more.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #137 +/- ## ========================================== + Coverage 81.70% 81.81% +0.11% ========================================== Files 8 9 +1 Lines 492 495 +3 ========================================== + Hits 402 405 +3 Misses 90 90 ``` | [Impacted Files](https://app.codecov.io/gh/dfdx/Yota.jl/pull/137?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Andrei+Zhabinski) | Coverage Δ | | |---|---|---| | [src/grad.jl](https://app.codecov.io/gh/dfdx/Yota.jl/pull/137?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Andrei+Zhabinski#diff-c3JjL2dyYWQuamw=) | `90.41% <100.00%> (+0.05%)` | :arrow_up: | | [src/utils.jl](https://app.codecov.io/gh/dfdx/Yota.jl/pull/137?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Andrei+Zhabinski#diff-c3JjL3V0aWxzLmps) | `71.42% <100.00%> (+2.19%)` | :arrow_up: | ... and [1 file with indirect coverage changes](https://app.codecov.io/gh/dfdx/Yota.jl/pull/137/indirect-changes?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Andrei+Zhabinski)

:umbrella: View full report in Codecov by Sentry.
:loudspeaker: Do you have feedback about the report comment? Let us know in this issue.