Convert further TOML examples to elixirs

[sloede]

This commit addresses the first three example files in #219.

[sloede]

@ranocha I get a UndefRefError from DiffEq and I don't even know how to start looking for the problem - maybe you can help me out here (next week of course)?

julia> trixi_include("examples/1d/elixir_euler_density_wave.jl")
...
#t/s:    400 | dt: 2.3050e-03 | Sim. time: 9.6349e-01 | Run time: 5.3188e-02 s
#t/s:    600 | dt: 2.5417e-03 | Sim. time: 1.5615e+00 | Run time: 8.0304e-02 s
#t/s:    800 | dt: 1.6237e-03 | Sim. time: 1.9400e+00 | Run time: 1.0488e-01 s

--------------------------------------------------------------------------------
 Simulation running 'CompressibleEulerEquations1D' with POLYDEG = 5
--------------------------------------------------------------------------------
 #timesteps:                837                run time:       1.13033195e-01 s
 dt:             7.03360551e-04                Time/DOF/rhs!:  1.01607521e-06 s
 sim. time:      2.00000000e+00

ERROR: LoadError: UndefRefError: access to undefined reference
Stacktrace:
 [1] getproperty at ./Base.jl:33 [inlined]
 [2] get_du at /home/mschlott/.julia/packages/OrdinaryDiffEq/VPJBD/src/integrators/integrator_interface.jl:62 [inlined]
 [3] macro expansion at /home/mschlott/gdrive/work/code/hackathon/master-Trixi.jl/src/callbacks/analysis.jl:210 [inlined]
 [4] macro expansion at /home/mschlott/.julia/packages/TimerOutputs/dVnaw/src/TimerOutput.jl:190 [inlined]
 [5] (::AnalysisCallback{Trixi.LobattoLegendreAnalyzer{Float64,11,Array{Float64,2}},Tuple{typeof(Trixi.entropy_timederivative)},StaticArrays.SArray{Tuple{3},Float64,1,3}})(::OrdinaryDiffEq.ODEIntegrator{CarpenterKennedy2N54,true,Array{Float64,1},Nothing,Float64,SemidiscretizationHyperbolic{TreeMesh{1},CompressibleEulerEquations1D{Float64},typeof(initial_conditions_density_wave),Nothing,Nothing,DG{Float64,LobattoLegendreBasis{Float64,6,Array{Float64,2},StaticArrays.SArray{Tuple{6,2},Float64,2,12},StaticArrays.SArray{Tuple{6,6},Float64,2,36}},Trixi.LobattoLegendreMortarL2{Float64,6,StaticArrays.SArray{Tuple{6,6},Float64,2,36}},typeof(flux_lax_friedrichs),VolumeIntegralWeakForm},NamedTuple{(:elements, :interfaces, :boundaries),Tuple{Trixi.ElementContainer1D{Float64,3,5},Trixi.InterfaceContainer1D{Float64,3,5},Trixi.BoundaryContainer1D{Float64,3,5}}}},Float64,Float64,Float64,Array{Array{Float64,1},1},ODESolution{Float64,2,Array{Array{Float64,1},1},Nothing,Nothing,Array{Float64,1},Array{Array{Array{Float64,1},1},1},ODEProblem{Array{Float64,1},Tuple{Float64,Float64},true,SemidiscretizationHyperbolic{TreeMesh{1},CompressibleEulerEquations1D{Float64},typeof(initial_conditions_density_wave),Nothing,Nothing,DG{Float64,LobattoLegendreBasis{Float64,6,Array{Float64,2},StaticArrays.SArray{Tuple{6,2},Float64,2,12},StaticArrays.SArray{Tuple{6,6},Float64,2,36}},Trixi.LobattoLegendreMortarL2{Float64,6,StaticArrays.SArray{Tuple{6,6},Float64,2,36}},typeof(flux_lax_friedrichs),VolumeIntegralWeakForm},NamedTuple{(:elements, :interfaces, :boundaries),Tuple{Trixi.ElementContainer1D{Float64,3,5},Trixi.InterfaceContainer1D{Float64,3,5},Trixi.BoundaryContainer1D{Float64,3,5}}}},ODEFunction{true,typeof(Trixi.rhs!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},DiffEqBase.StandardODEProblem},CarpenterKennedy2N54,OrdinaryDiffEq.InterpolationData{ODEFunction{true,typeof(Trixi.rhs!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},Array{Array{Float64,1},1},Array{Float64,1},Array{Array{Array{Float64,1},1},1},OrdinaryDiffEq.LowStorageRK2NCache{Array{Float64,1},Array{Float64,1},OrdinaryDiffEq.LowStorageRK2NConstantCache{4,Float64,Float64}}},DiffEqBase.DEStats},ODEFunction{true,typeof(Trixi.rhs!),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},OrdinaryDiffEq.LowStorageRK2NCache{Array{Float64,1},Array{Float64,1},OrdinaryDiffEq.LowStorageRK2NConstantCache{4,Float64,Float64}},OrdinaryDiffEq.DEOptions{Float64,Float64,Float64,Float64,typeof(DiffEqBase.ODE_DEFAULT_NORM),typeof(LinearAlgebra.opnorm),CallbackSet{Tuple{},Tuple{DiscreteCallback{typeof(Trixi.summary_callback),typeof(Trixi.summary_callback),typeof(Trixi.initialize_summary_callback)},DiscreteCallback{Trixi.var"#341#342",StepsizeCallback{Float64},typeof(Trixi.initialize!)},DiscreteCallback{Trixi.var"#344#345"{Int64,Bool},SaveSolutionCallback,typeof(Trixi.initialize!)},DiscreteCallback{Trixi.var"#350#352"{Int64},AnalysisCallback{Trixi.LobattoLegendreAnalyzer{Float64,11,Array{Float64,2}},Tuple{typeof(Trixi.entropy_timederivative)},StaticArrays.SArray{Tuple{3},Float64,1,3}},typeof(Trixi.initialize!)},DiscreteCallback{Trixi.var"#375#376"{Int64,Int64},AliveCallback,typeof(Trixi.initialize!)}}},typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN),typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE),typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK),DataStructures.BinaryHeap{Float64,DataStructures.LessThan},DataStructures.BinaryHeap{Float64,DataStructures.LessThan},Nothing,Nothing,Int64,Tuple{},Tuple{},Tuple{}},Array{Float64,1},Float64,Nothing,OrdinaryDiffEq.DefaultInit}) at /home/mschlott/gdrive/work/code/hackathon/master-Trixi.jl/src/callbacks/analysis.jl:153
 [6] apply_discrete_callback! at /home/mschlott/.julia/packages/DiffEqBase/V7P18/src/callbacks.jl:830 [inlined]
...

The only thing I could figure out so far was that get_du just returns integrator.fsallast, which seems to be an undefined ref. However, I have not worked with the Julia debugger in VS Code and I don't know anything about DiffEq that would help me to start figuring out what's wrong here.

[codecov]

Codecov Report

Merging #245 into dev will not change coverage.
The diff coverage is 50.00%.

@@           Coverage Diff           @@
##              dev     #245   +/-   ##
=======================================
  Coverage   89.41%   89.41%           
=======================================
  Files          60       60           
  Lines       10585    10585           
=======================================
  Hits         9465     9465           
  Misses       1120     1120           

Impacted Files	Coverage Δ
src/callbacks/stepsize_dg2d.jl	88.88% <ø> (ø)
src/run.jl	92.96% <33.33%> (ø)
src/callbacks/stepsize_dg1d.jl	87.50% <100.00%> (ø)

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[ranocha]

Which version of OrdinaryDiffEq.jl do you use? Did you try to update it?

[ranocha]

Your code works for me on Julia v1.5.2 with OrdinaryDiffEq v5.43.0.

[sloede]

Thanks, when I updated OrdinaryDiffEq.jl (it was this package, all other packages I had already updated but to no avail), it now works for me as well 👍

[ranocha]

The new examples need to be added to the tests.

[sloede]

Closed in favor or #294.