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Create Downgrade.yml #1771

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Create Downgrade.yml #1771

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ranocha
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@ranocha ranocha commented Dec 11, 2023

Similar to SciML/SciMLBase.jl#553. The basic intention is to check whether our lower compat bounds are still accurate. This sounds like a good idea to me. I chose to just test threaded runs without coverage tracking since that's reasonably fast and covers a good amount of different aspects.

See https://github.com/cjdoris/julia-downgrade-compat-action

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Review checklist

This checklist is meant to assist creators of PRs (to let them know what reviewers will typically look for) and reviewers (to guide them in a structured review process). Items do not need to be checked explicitly for a PR to be eligible for merging.

Purpose and scope

  • The PR has a single goal that is clear from the PR title and/or description.
  • All code changes represent a single set of modifications that logically belong together.
  • No more than 500 lines of code are changed or there is no obvious way to split the PR into multiple PRs.

Code quality

  • The code can be understood easily.
  • Newly introduced names for variables etc. are self-descriptive and consistent with existing naming conventions.
  • There are no redundancies that can be removed by simple modularization/refactoring.
  • There are no leftover debug statements or commented code sections.
  • The code adheres to our conventions and style guide, and to the Julia guidelines.

Documentation

  • New functions and types are documented with a docstring or top-level comment.
  • Relevant publications are referenced in docstrings (see example for formatting).
  • Inline comments are used to document longer or unusual code sections.
  • Comments describe intent ("why?") and not just functionality ("what?").
  • If the PR introduces a significant change or new feature, it is documented in NEWS.md.

Testing

  • The PR passes all tests.
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  • New or modified tests run in less then 10 seconds.

Performance

  • There are no type instabilities or memory allocations in performance-critical parts.
  • If the PR intent is to improve performance, before/after time measurements are posted in the PR.

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  • The correctness of the code was verified using appropriate tests.
  • If new equations/methods are added, a convergence test has been run and the results
    are posted in the PR.

Created with ❤️ by the Trixi.jl community.

@ranocha ranocha closed this Dec 12, 2023
@ranocha ranocha reopened this Dec 12, 2023
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codecov bot commented Dec 12, 2023

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (c7c4cf7) 94.67% compared to head (0cf4b0e) 96.23%.
Report is 1 commits behind head on main.

Additional details and impacted files
@@            Coverage Diff             @@
##             main    #1771      +/-   ##
==========================================
+ Coverage   94.67%   96.23%   +1.56%     
==========================================
  Files         436      436              
  Lines       35166    35188      +22     
==========================================
+ Hits        33292    33862     +570     
+ Misses       1874     1326     -548     
Flag Coverage Δ
unittests 96.23% <ø> (+1.56%) ⬆️

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ranocha commented Dec 12, 2023

@jlchan Could you please figure out the minimum version of StartUpDG.jl (or other dependencies) required to let tests pass? Currently, only the DGMulti tests fail, see https://github.com/trixi-framework/Trixi.jl/actions/runs/7177988031/job/19545377350?pr=1771#step:8:5324

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jlchan commented Dec 12, 2023

@jlchan Could you please figure out the minimum version of StartUpDG.jl (or other dependencies) required to let tests pass? Currently, only the DGMulti tests fail, see https://github.com/trixi-framework/Trixi.jl/actions/runs/7177988031/job/19545377350?pr=1771#step:8:5324

Odd, the failures are with OrdinaryDiffEq.jl, StaticArrays.jl, and Static.jl. I'll try to figure out what broke, but it's not immediately clear.

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ranocha commented Dec 12, 2023

There is also

/home/runner/work/Trixi.jl/Trixi.jl/examples/dgmulti_2d/elixir_euler_fdsbp_periodic.jl
elixir_euler_fdsbp_periodic.jl: Error During Test at /home/runner/work/Trixi.jl/Trixi.jl/test/test_trixi.jl:228
  Got exception outside of a @test
  LoadError: UndefKeywordError: keyword argument `N` not assigned
  Stacktrace:
    [1] StartUpDG.RefElemData(elem::NodesAndModes.Quad, approx_type::SummationByPartsOperators.PeriodicDerivativeOperator{Float64, 2, 2, SummationByPartsOperators.FastMode, SummationByPartsOperators.Fornberg1998, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}})
      @ StartUpDG ~/.julia/packages/StartUpDG/dgtGs/src/RefElemData.jl:142

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jlchan commented Dec 12, 2023

@ranocha the issue with StartUpDG.jl is that I added the SummationByPartsOperators.jl extension in 0.17.7, so to get the FDSBP tests to pass, we need 0.17.7.

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jlchan commented Dec 12, 2023

Hopefully fixed the failures via f134e7a. Lets wait for CI.

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ranocha commented Dec 13, 2023

It looks like all commits after 8a81714 did not change the test failures

@ranocha ranocha enabled auto-merge (squash) December 14, 2023 11:25
@ranocha ranocha requested a review from jlchan December 14, 2023 11:25
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ranocha commented Dec 14, 2023

It was working locally - but I didn't test the multi-threaded time integration...

@ranocha ranocha removed the request for review from jlchan December 14, 2023 11:41
@ranocha ranocha marked this pull request as draft December 14, 2023 11:49
@JoshuaLampert
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The CI failure seems to be related to LoopVectorization.jl and StrideArrays.jl. Maybe try bumping one of these two (even higher)?

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ranocha commented Feb 13, 2024

Feel free to go ahead with it. I don't have the bandwidth to do so this week.

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JoshuaLampert commented Feb 18, 2024

I gave it another try (see #1848) and found that JuliaSIMD/StrideArrays.jl#77 was the issue. Thus, bumping StrideArrays to v0.1.26 fixed the problem locally for me.

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