Add another workaround for #184

[timholy]

See discussion in #185. CC @ChrisRackauckas. Does this work? I can't reproduce the issue locally so I'm not actually certain what will happen for this nothing return.

[codecov-commenter]

Codecov Report

Merging #187 (1260874) into master (18e558f) will not change coverage.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##           master     #187   +/-   ##
=======================================
  Coverage   52.96%   52.96%           
=======================================
  Files           7        7           
  Lines         895      895           
=======================================
  Hits          474      474           
  Misses        421      421           

Impacted Files	Coverage Δ
src/backedges.jl	95.18% <100.00%> (ø)

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[ChrisRackauckas]

julia> itrig = itrigs[12]
Inference triggered to call OrdinaryDiffEq.perform_step!(::OrdinaryDiffEq.ODEIntegrator{Tsit5, true, Vector{Float64}, Nothing, Float64, SciMLBase.NullParameters, Float64, Float64, Float64, Float64, Vector{Vector{Float64}}, ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, SciMLBase.NullParameters, ODEFunction{true, typeof(OrdinaryDiffEq.lorenz), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, Tsit5, OrdinaryDiffEq.InterpolationData{ODEFunction{true, typeof(OrdinaryDiffEq.lorenz), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.Tsit5Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.Tsit5ConstantCache{Float64, Float64}}}, DiffEqBase.DEStats}, ODEFunction{true, typeof(OrdinaryDiffEq.lorenz), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, OrdinaryDiffEq.Tsit5Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.Tsit5ConstantCache{Float64, Float64}}, OrdinaryDiffEq.DEOptions{Float64, Float64, Float64, Float64, PIController{Rational{Int64}}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(LinearAlgebra.opnorm), Nothing, CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryMinHeap{Float64}, DataStructures.BinaryMinHeap{Float64}, Nothing, Nothing, Int64, Tuple{}, Tuple{}, Tuple{}}, Vector{Float64}, Float64, Nothing, OrdinaryDiffEq.DefaultInit}, ::OrdinaryDiffEq.Tsit5Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.Tsit5ConstantCache{Float64, Float64}}, ::Bool) called from toplevel

julia> ascend(itrig)
ERROR: MethodError: Cannot `convert` an object of type
  Cthulhu.Data{Nothing} to an object of type
  Cthulhu.Data{Core.MethodInstance}
Closest candidates are:
  convert(::Type{T}, ::T) where T at essentials.jl:218
  Cthulhu.Data{T}(::Any, ::Any) where T at C:\Users\accou\.julia\packages\Cthulhu\mxXer\src\backedges.jl:111
Stacktrace:
 [1] FoldingTrees.Node{Cthulhu.Data{Core.MethodInstance}}(data::Cthulhu.Data{Nothing}, parent::FoldingTrees.Node{Cthulhu.Data{Core.MethodInstance}}, foldchildren::Bool)
   @ FoldingTrees C:\Users\accou\.julia\packages\FoldingTrees\ugpju\src\foldingtree.jl:25
 [2] FoldingTrees.Node(data::Cthulhu.Data{Nothing}, parent::FoldingTrees.Node{Cthulhu.Data{Core.MethodInstance}}, foldchildren::Bool) (repeats 2 times)
   @ FoldingTrees C:\Users\accou\.julia\packages\FoldingTrees\ugpju\src\foldingtree.jl:32
 [3] treelist!(parent::FoldingTrees.Node{Cthulhu.Data{Core.MethodInstance}}, io::IOBuffer, mi::InferenceTrigger, indent::String, visited::Base.IdSet{Core.MethodInstance})
   @ Cthulhu C:\Users\accou\.julia\packages\Cthulhu\mxXer\src\backedges.jl:126
 [4] treelist(mi::InferenceTrigger)
   @ Cthulhu C:\Users\accou\.julia\packages\Cthulhu\mxXer\src\backedges.jl:118
 [5] ascend(mi::InferenceTrigger; kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
   @ Cthulhu C:\Users\accou\.julia\packages\Cthulhu\mxXer\src\Cthulhu.jl:414
 [6] ascend(mi::InferenceTrigger)
   @ Cthulhu C:\Users\accou\.julia\packages\Cthulhu\mxXer\src\Cthulhu.jl:414
 [7] top-level scope
   @ REPL[13]:1

(@v1.7) pkg> st
      Status `C:\Users\accou\.julia\environments\v1.7\Project.toml`
  [c52e3926] Atom v0.12.33
  [6e4b80f9] BenchmarkTools v1.1.1
  [f68482b8] Cthulhu v2.1.2 `https://github.com/JuliaDebug/Cthulhu.jl.git#teh/truncated_stacktraces`
  [2b5f629d] DiffEqBase v6.70.0 `https://github.com/SciML/DiffEqBase.jl.git#cthulhu`
  [e5e0dc1b] Juno v0.8.4
  [1dea7af3] OrdinaryDiffEq v5.60.2 `https://github.com/SciML/OrdinaryDiffEq.jl.git#cthulhu`
  [4722fa14] PkgAuthentication v1.1.1
  [aa65fe97] SnoopCompile v2.7.0 `https://github.com/timholy/SnoopCompile.jl.git#master`

Since it reproduces on my laptop, I think the easiest way to this may be to just hand a Windows computer to someone haha.

[timholy]

Excellent. What if instead of instance returning nothing it returns Core.Compiler.Timings.ROOTmi?

[ChrisRackauckas]

Success!

julia> itrig = itrigs[12]
Inference triggered to call OrdinaryDiffEq.perform_step!(::OrdinaryDiffEq.ODEIntegrator{Tsit5, true, Vector{Float64}, Nothing, Float64, SciMLBase.NullParameters, Float64, Float64, Float64, Float64, Vector{Vector{Float64}}, ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, SciMLBase.NullParameters, ODEFunction{true, typeof(OrdinaryDiffEq.lorenz), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, Tsit5, OrdinaryDiffEq.InterpolationData{ODEFunction{true, typeof(OrdinaryDiffEq.lorenz), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.Tsit5Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.Tsit5ConstantCache{Float64, Float64}}}, DiffEqBase.DEStats}, ODEFunction{true, typeof(OrdinaryDiffEq.lorenz), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing}, OrdinaryDiffEq.Tsit5Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.Tsit5ConstantCache{Float64, Float64}}, OrdinaryDiffEq.DEOptions{Float64, Float64, Float64, Float64, PIController{Rational{Int64}}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(LinearAlgebra.opnorm), Nothing, CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryMinHeap{Float64}, DataStructures.BinaryMinHeap{Float64}, Nothing, Nothing, Int64, Tuple{}, Tuple{}, Tuple{}}, Vector{Float64}, Float64, Nothing, OrdinaryDiffEq.DefaultInit}, ::OrdinaryDiffEq.Tsit5Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.Tsit5ConstantCache{Float64, Float64}}, ::Bool) called from toplevel

julia> ascend(itrig)
Choose a call for analysis (q to quit):
 >   perform_step!(::OrdinaryDiffEq.ODEIntegrator{Tsit5, true, Vector{Float64}, Nothing, Float64, SciMLBase.NullParamete

[timholy]

Excellent, thanks for your contribution to Cthulhu!