Closed avik-pal closed 7 months ago
Attention: 22 lines
in your changes are missing coverage. Please review.
Comparison is base (
b853842
) 86.08% compared to head (50cef59
) 85.99%.
Files | Patch % | Lines |
---|---|---|
ext/NonlinearSolveMINPACKExt.jl | 77.50% | 9 Missing :warning: |
ext/NonlinearSolveNLsolveExt.jl | 86.66% | 6 Missing :warning: |
src/extension_algs.jl | 69.23% | 4 Missing :warning: |
src/broyden.jl | 88.88% | 1 Missing :warning: |
src/default.jl | 87.50% | 1 Missing :warning: |
src/klement.jl | 88.88% | 1 Missing :warning: |
:umbrella: View full report in Codecov by Sentry.
:loudspeaker: Have feedback on the report? Share it here.
@ChrisRackauckas the docs build is working locally with https://github.com/SciML/OrdinaryDiffEq.jl/pull/2076. The GPU failure which we are seeing on master needs a new tag for Adapt https://github.com/JuliaGPU/Adapt.jl/issues/74. Finally #300, #301, #276 have been pulled in here
The GPU failure which we are seeing on master needs a new tag for Adapt JuliaGPU/Adapt.jl#74
Wait on https://github.com/SciML/NonlinearSolve.jl/pull/297, https://github.com/SciML/NonlinearSolve.jl/pull/303
Fixes #301, Fixes #300, Fixes #298, Fixes #293, Fixes #255
@ChrisRackauckas we need to update the compat entries for SimpleNonlinearSolve in OrdinaryDiffEq, ModelingToolkit, etc. for the doc build to go through
Main Changes
autodiff
Simple*
algorithm first for the non-caching solveTODOs