Yingbo Ma

The incidence matrix is actually not useful for humans. I am just showing it because it looks cool. We can just disable it if it's confusing.

1. Could you try `structural_simplify(model, allow_symbolic=false)`? 2. I am curious, would Modelica tools still work when `trans₊ry = trans₊rx = 0`? Dummy derivatives like `body₊fa₊oyˍtt` don't need an initial condition...

Ah, I mistyped it. I meant to write `allow_parameter=false`. > On the other hand the Modelica tool I used just chose an angle and its derivative, effectively sidestepping the problem....

@shashi do you know what happened to `Groebner Bases Test`?

@sathvikbhagavan tried this PR and got the errors: ``` [INFO][FMUCHK] Printing output file header "time","o1","o2" [INFO][FMUCHK] Model identifier for ModelExchange: lv [INFO][FMILIB] Loading 'linux64' binary with 'default' platform types [FATAL][FMICAPI]...

Thanks for the bug report. @shashi do you mind to take a look?

I prefer to revert https://github.com/domluna/JuliaFormatter.jl/pull/729

Does the double indentation style cause problems in vscode? @baggepinnen

By passing in `eval_module` like https://github.com/SciML/DiffEqProblemLibrary.jl/blob/bf3b582c3aaef62da3a71f298216b2a9f15218d2/lib/ODEProblemLibrary/src/ode_simple_nonlinear_prob.jl#L58C1-L59C1

This issue wasn't fixed by 716. Here is a MWE and a workaround. ```julia julia> using OrdinaryDiffEq [ Info: Precompiling OrdinaryDiffEq [1dea7af3-3e70-54e6-95c3-0bf5283fa5ed] julia> prob = ODEProblem((du,u,p,t)->du.=u, [0.1], (0., 10.0)); julia>...