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SciML / ModelingToolkit.jl

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
https://mtk.sciml.ai/dev/
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Optimization Example doesn't work #1390

Closed bShoener closed 2 years ago

bShoener commented 2 years ago

When I copy and paste the optimization problem, I get the error:

"type OptimizationProblem has no field sense"

when attempting to solve.

ChrisRackauckas commented 2 years ago

I just tried it and it was fine. Are you on the latest package versions?

bShoener commented 2 years ago

Thanks for the quick reply!

I installed Julia 1.6.4 a few hours ago, added ModelingToolkit through the package manager, and attempted to replicate that example in a notebook (though VSCode). When the error got thrown, I ran each line in the CLI. Everything looks good until I go to actually run "solve" Stacktrace: [1] getproperty(x::OptimizationProblem{true, OptimizationFunction{true, AutoModelingToolkit, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x612202a7, 0x5d8c7c1c, 0xbe6515b0, 0xd8623942, 0x9dd00040)}, ModelingToolkit.var"#_grad#296"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xa6d169da, 0x07d08bf9, 0x1282935f, 0x68b2ee96, 0xfb1490b5)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x7b957ecc, 0x22ef8c2c, 0xaf5ed68a, 0xa0449df8, 0xdd536840)}}, ModelingToolkit.var"#_hess#297"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xd434a089, 0x597088af, 0x5c07b449, 0x51c749b0, 0xad2f398a)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x9f273c4c, 0x0694bbf9, 0x892a3fa1, 0x9e953019, 0xd582fe76)}}, Nothing, Nothing, Nothing, Nothing}, Vector{Float64}, Vector{Float64}, Nothing, Nothing, Nothing, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}}, f::Symbol) @ Base .\Base.jl:33 [2] (::GalacticOptim.var"#177#185"{OptimizationProblem{true, OptimizationFunction{true, AutoModelingToolkit, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x612202a7, 0x5d8c7c1c, 0xbe6515b0, 0xd8623942, 0x9dd00040)}, ModelingToolkit.var"#_grad#296"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xa6d169da, 0x07d08bf9, 0x1282935f, 0x68b2ee96, 0xfb1490b5)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x7b957ecc, 0x22ef8c2c, 0xaf5ed68a, 0xa0449df8, 0xdd536840)}}, ModelingToolkit.var"#_hess#297"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xd434a089, 0x597088af, 0x5c07b449, 0x51c749b0, 0xad2f398a)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x9f273c4c, 0x0694bbf9, 0x892a3fa1, 0x9e953019, 0xd582fe76)}}, Nothing, Nothing, Nothing, Nothing}, Vector{Float64}, Vector{Float64}, Nothing, Nothing, Nothing, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}}, GalacticOptim.var"#176#184"{OptimizationProblem{true, OptimizationFunction{true, AutoModelingToolkit, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x612202a7, 0x5d8c7c1c, 0xbe6515b0, 0xd8623942, 0x9dd00040)}, ModelingToolkit.var"#_grad#296"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xa6d169da, 0x07d08bf9, 0x1282935f, 0x68b2ee96, 0xfb1490b5)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x7b957ecc, 0x22ef8c2c, 0xaf5ed68a, 0xa0449df8, 0xdd536840)}}, ModelingToolkit.var"#_hess#297"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xd434a089, 0x597088af, 0x5c07b449, 0x51c749b0, 0xad2f398a)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x9f273c4c, 0x0694bbf9, 0x892a3fa1, 0x9e953019, 0xd582fe76)}}, Nothing, Nothing, Nothing, Nothing}, Vector{Float64}, Vector{Float64}, Nothing, Nothing, Nothing, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}}, OptimizationFunction{true, SciMLBase.NoAD, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x612202a7, 0x5d8c7c1c, 0xbe6515b0, 0xd8623942, 0x9dd00040)}, GalacticOptim.var"#8#14"{OptimizationFunction{true, AutoModelingToolkit, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x612202a7, 0x5d8c7c1c, 0xbe6515b0, 0xd8623942, 0x9dd00040)}, ModelingToolkit.var"#_grad#296"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xa6d169da, 0x07d08bf9, 0x1282935f, 0x68b2ee96, 0xfb1490b5)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x7b957ecc, 0x22ef8c2c, 0xaf5ed68a, 0xa0449df8, 0xdd536840)}}, ModelingToolkit.var"#_hess#297"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xd434a089, 0x597088af, 0x5c07b449, 0x51c749b0, 0xad2f398a)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x9f273c4c, 0x0694bbf9, 0x892a3fa1, 0x9e953019, 0xd582fe76)}}, Nothing, Nothing, Nothing, Nothing}, Vector{Float64}}, GalacticOptim.var"#9#15"{OptimizationFunction{true, AutoModelingToolkit, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x612202a7, 0x5d8c7c1c, 0xbe6515b0, 0xd8623942, 0x9dd00040)}, ModelingToolkit.var"#_grad#296"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xa6d169da, 0x07d08bf9, 0x1282935f, 0x68b2ee96, 0xfb1490b5)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x7b957ecc, 0x22ef8c2c, 0xaf5ed68a, 0xa0449df8, 0xdd536840)}}, ModelingToolkit.var"#_hess#297"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xd434a089, 0x597088af, 0x5c07b449, 0x51c749b0, 0xad2f398a)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x9f273c4c, 0x0694bbf9, 0x892a3fa1, 0x9e953019, 0xd582fe76)}}, Nothing, Nothing, Nothing, Nothing}, Vector{Float64}}, Nothing, Nothing, Nothing, Nothing}}, OptimizationFunction{true, SciMLBase.NoAD, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x612202a7, 0x5d8c7c1c, 0xbe6515b0, 0xd8623942, 0x9dd00040)}, GalacticOptim.var"#8#14"{OptimizationFunction{true, AutoModelingToolkit, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x612202a7, 0x5d8c7c1c, 0xbe6515b0, 0xd8623942, 0x9dd00040)}, ModelingToolkit.var"#_grad#296"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xa6d169da, 0x07d08bf9, 0x1282935f, 0x68b2ee96, 0xfb1490b5)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x7b957ecc, 0x22ef8c2c, 0xaf5ed68a, 0xa0449df8, 0xdd536840)}}, ModelingToolkit.var"#_hess#297"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xd434a089, 0x597088af, 0x5c07b449, 0x51c749b0, 0xad2f398a)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x9f273c4c, 0x0694bbf9, 0x892a3fa1, 0x9e953019, 0xd582fe76)}}, Nothing, Nothing, Nothing, Nothing}, Vector{Float64}}, GalacticOptim.var"#9#15"{OptimizationFunction{true, AutoModelingToolkit, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x612202a7, 0x5d8c7c1c, 0xbe6515b0, 0xd8623942, 0x9dd00040)}, ModelingToolkit.var"#_grad#296"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xa6d169da, 0x07d08bf9, 0x1282935f, 0x68b2ee96, 0xfb1490b5)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x7b957ecc, 0x22ef8c2c, 0xaf5ed68a, 0xa0449df8, 0xdd536840)}}, ModelingToolkit.var"#_hess#297"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xd434a089, 0x597088af, 0x5c07b449, 0x51c749b0, 0xad2f398a)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x9f273c4c, 0x0694bbf9, 0x892a3fa1, 0x9e953019, 0xd582fe76)}}, Nothing, Nothing, Nothing, Nothing}, Vector{Float64}}, Nothing, Nothing, Nothing, Nothing}})(G::Vector{Float64}, θ::Vector{Float64}) @ GalacticOptim C:\Users\\.julia\packages\GalacticOptim\DHxE0\src\solve\optim.jl:94 [3] value_gradient!!(obj::TwiceDifferentiable{Float64, Vector{Float64}, Matrix{Float64}, Vector{Float64}}, x::Vector{Float64}) @ NLSolversBase C:\Users\\.julia\packages\NLSolversBase\geyh3\src\interface.jl:82 [4] initial_state(method::Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, options::Optim.Options{Float64, GalacticOptim.var"#_cb#183"{GalacticOptim.var"#181#189", Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, Base.Iterators.Cycle{Tuple{GalacticOptim.NullData}}}}, d::TwiceDifferentiable{Float64, Vector{Float64}, Matrix{Float64}, Vector{Float64}}, initial_x::Vector{Float64}) @ Optim C:\Users\\.julia\packages\Optim\3K7JI\src\multivariate\solvers\second_order\newton.jl:45 [5] optimize(d::TwiceDifferentiable{Float64, Vector{Float64}, Matrix{Float64}, Vector{Float64}}, initial_x::Vector{Float64}, method::Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, options::Optim.Options{Float64, GalacticOptim.var"#_cb#183"{GalacticOptim.var"#181#189", Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, Base.Iterators.Cycle{Tuple{GalacticOptim.NullData}}}}) @ Optim C:\Users\\.julia\packages\Optim\3K7JI\src\multivariate\optimize\optimize.jl:35 [6] ___solve(prob::OptimizationProblem{true, OptimizationFunction{true, AutoModelingToolkit, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x612202a7, 0x5d8c7c1c, 0xbe6515b0, 0xd8623942, 0x9dd00040)}, ModelingToolkit.var"#_grad#296"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xa6d169da, 0x07d08bf9, 0x1282935f, 0x68b2ee96, 0xfb1490b5)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x7b957ecc, 0x22ef8c2c, 0xaf5ed68a, 0xa0449df8, 0xdd536840)}}, ModelingToolkit.var"#_hess#297"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xd434a089, 0x597088af, 0x5c07b449, 0x51c749b0, 0xad2f398a)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x9f273c4c, 0x0694bbf9, 0x892a3fa1, 0x9e953019, 0xd582fe76)}}, Nothing, Nothing, Nothing, Nothing}, Vector{Float64}, Vector{Float64}, Nothing, Nothing, Nothing, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}}, opt::Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, data::Base.Iterators.Cycle{Tuple{GalacticOptim.NullData}}; cb::Function, maxiters::Nothing, maxtime::Nothing, abstol::Nothing, reltol::Nothing, progress::Bool, kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}) @ GalacticOptim C:\Users\\.julia\packages\GalacticOptim\DHxE0\src\solve\optim.jl:129 [7] ___solve(prob::OptimizationProblem{true, OptimizationFunction{true, AutoModelingToolkit, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x612202a7, 0x5d8c7c1c, 0xbe6515b0, 0xd8623942, 0x9dd00040)}, ModelingToolkit.var"#_grad#296"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xa6d169da, 0x07d08bf9, 0x1282935f, 0x68b2ee96, 0xfb1490b5)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x7b957ecc, 0x22ef8c2c, 0xaf5ed68a, 0xa0449df8, 0xdd536840)}}, ModelingToolkit.var"#_hess#297"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xd434a089, 0x597088af, 0x5c07b449, 0x51c749b0, 0xad2f398a)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x9f273c4c, 0x0694bbf9, 0x892a3fa1, 0x9e953019, 0xd582fe76)}}, Nothing, Nothing, Nothing, Nothing}, Vector{Float64}, Vector{Float64}, Nothing, Nothing, Nothing, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}}, opt::Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, data::Base.Iterators.Cycle{Tuple{GalacticOptim.NullData}}) @ GalacticOptim C:\Users\\.julia\packages\GalacticOptim\DHxE0\src\solve\optim.jl:61 [8] __solve(prob::OptimizationProblem{true, OptimizationFunction{true, AutoModelingToolkit, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x612202a7, 0x5d8c7c1c, 0xbe6515b0, 0xd8623942, 0x9dd00040)}, ModelingToolkit.var"#_grad#296"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xa6d169da, 0x07d08bf9, 0x1282935f, 0x68b2ee96, 0xfb1490b5)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x7b957ecc, 0x22ef8c2c, 0xaf5ed68a, 0xa0449df8, 0xdd536840)}}, ModelingToolkit.var"#_hess#297"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xd434a089, 0x597088af, 0x5c07b449, 0x51c749b0, 0xad2f398a)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x9f273c4c, 0x0694bbf9, 0x892a3fa1, 0x9e953019, 0xd582fe76)}}, Nothing, Nothing, Nothing, Nothing}, Vector{Float64}, Vector{Float64}, Nothing, Nothing, Nothing, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}}, opt::Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, data::Base.Iterators.Cycle{Tuple{GalacticOptim.NullData}}; kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}) @ GalacticOptim C:\Users\\.julia\packages\GalacticOptim\DHxE0\src\solve\optim.jl:49 [9] __solve(prob::OptimizationProblem{true, OptimizationFunction{true, AutoModelingToolkit, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x612202a7, 0x5d8c7c1c, 0xbe6515b0, 0xd8623942, 0x9dd00040)}, ModelingToolkit.var"#_grad#296"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xa6d169da, 0x07d08bf9, 0x1282935f, 0x68b2ee96, 0xfb1490b5)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x7b957ecc, 0x22ef8c2c, 0xaf5ed68a, 0xa0449df8, 0xdd536840)}}, ModelingToolkit.var"#_hess#297"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xd434a089, 0x597088af, 0x5c07b449, 0x51c749b0, 0xad2f398a)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x9f273c4c, 0x0694bbf9, 0x892a3fa1, 0x9e953019, 0xd582fe76)}}, Nothing, Nothing, Nothing, Nothing}, Vector{Float64}, Vector{Float64}, Nothing, Nothing, Nothing, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}}, opt::Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, data::Base.Iterators.Cycle{Tuple{GalacticOptim.NullData}}) (repeats 2 times) @ GalacticOptim C:\Users\\.julia\packages\GalacticOptim\DHxE0\src\solve\optim.jl:37 [10] solve(::OptimizationProblem{true, OptimizationFunction{true, AutoModelingToolkit, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x612202a7, 0x5d8c7c1c, 0xbe6515b0, 0xd8623942, 0x9dd00040)}, ModelingToolkit.var"#_grad#296"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xa6d169da, 0x07d08bf9, 0x1282935f, 0x68b2ee96, 0xfb1490b5)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x7b957ecc, 0x22ef8c2c, 0xaf5ed68a, 0xa0449df8, 0xdd536840)}}, ModelingToolkit.var"#_hess#297"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xd434a089, 0x597088af, 0x5c07b449, 0x51c749b0, 0xad2f398a)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x9f273c4c, 0x0694bbf9, 0x892a3fa1, 0x9e953019, 0xd582fe76)}}, Nothing, Nothing, Nothing, Nothing}, Vector{Float64}, Vector{Float64}, Nothing, Nothing, Nothing, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}}, ::Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}; kwargs::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}) @ SciMLBase C:\Users\\.julia\packages\SciMLBase\0sLTd\src\solve.jl:3 [11] solve(::OptimizationProblem{true, OptimizationFunction{true, AutoModelingToolkit, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x612202a7, 0x5d8c7c1c, 0xbe6515b0, 0xd8623942, 0x9dd00040)}, ModelingToolkit.var"#_grad#296"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xa6d169da, 0x07d08bf9, 0x1282935f, 0x68b2ee96, 0xfb1490b5)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x7b957ecc, 0x22ef8c2c, 0xaf5ed68a, 0xa0449df8, 0xdd536840)}}, ModelingToolkit.var"#_hess#297"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xd434a089, 0x597088af, 0x5c07b449, 0x51c749b0, 0xad2f398a)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0x9f273c4c, 0x0694bbf9, 0x892a3fa1, 0x9e953019, 0xd582fe76)}}, Nothing, Nothing, Nothing, Nothing}, Vector{Float64}, Vector{Float64}, Nothing, Nothing, Nothing, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}}, ::Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}) @ SciMLBase C:\Users\\.julia\packages\SciMLBase\0sLTd\src\solve.jl:3 [12] top-level scope @ REPL[9]:1

ChrisRackauckas commented 2 years ago

What versions? ]st -m?

bShoener commented 2 years ago

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p7zip_jll

ChrisRackauckas commented 2 years ago

SciMLBase is very old. Update it.

bShoener commented 2 years ago

That did it. Thanks again for your help!