Weird environmental issue with ModelingToolkit

Specific Domains Modelling & Simulations
,
1

I am facing a weird environmental issue in solving an SDESystem using modelingtoolkit in Pluto. It was working fine untill today and it started giving this UndefVarError shown below. It started when I accidentally interrupted a cell after starting the notebook. I removed the General registry and updated packages several times. I restarted Julia session several times.

sol

UndefVarError: nrn2₊Isyn not defined

1. <mark> **macro expansion** </mark>@ *code.jl:394* [inlined]
2. <mark> **macro expansion** </mark>@ *build_function.jl:378* [inlined]
3. <mark> **macro expansion** </mark>@ *code.jl:351* [inlined]
4. <mark> **macro expansion** </mark>@ *RuntimeGeneratedFunctions.jl:129* [inlined]
5. <mark> **macro expansion** </mark>@ *none:0* [inlined]
6. <mark> **generated_callfunc** </mark>@ *none:0* [inlined]
7. <mark>(::RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x95ecd51b, 0xf4695acd, 0x79bec507, 0x96d28c8f, 0xd1036dec)})(::Vector{Float64}, ::Vector{Float64}, ::Vector{Float64}, ::Float64)</mark>@ *RuntimeGeneratedFunctions.jl:117*
8. <mark> **f** </mark>@ *sdesystem.jl:212* [inlined]
9. <mark> **SDEFunction** </mark>@ *scimlfunctions.jl:395* [inlined]
10. <mark> **sde_determine_initdt** (::Vector{Float64}, ::Float64, ::Float64, ::Float64, ::Float64, ::Float64, ::typeof(DiffEqBase.ODE_DEFAULT_NORM), ::SciMLBase.SDEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, Nothing, SciMLBase.SDEFunction{true, ModelingToolkit.var"#f#178"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbb642803, 0xc68b23ac, 0xcfd021d7, 0x6d9bdacf, 0xea292f6b)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x95ecd51b, 0xf4695acd, 0x79bec507, 0x96d28c8f, 0xd1036dec)}}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Nothing}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, Nothing}, ::Rational{Int64}, ::StochasticDiffEq.SDEIntegrator{StochasticDiffEq.ImplicitEM{0, true, Nothing, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:central}, true, nothing, Float64, :Predictive}, true, Vector{Float64}, Float64, Float64, Float64, Vector{Float64}, Float64, Float64, Float64, DiffEqNoiseProcess.NoiseProcess{Float64, 2, Float64, Vector{Float64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, Vector{Float64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, Vector{Float64}, Nothing}, true}, DiffEqNoiseProcess.RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, Nothing, Vector{Float64}, SciMLBase.RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, DiffEqNoiseProcess.NoiseProcess{Float64, 2, Float64, Vector{Float64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, Vector{Float64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, Vector{Float64}, Nothing}, true}, DiffEqNoiseProcess.RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SciMLBase.SDEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, Nothing, SciMLBase.SDEFunction{true, ModelingToolkit.var"#f#178"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbb642803, 0xc68b23ac, 0xcfd021d7, 0x6d9bdacf, 0xea292f6b)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x95ecd51b, 0xf4695acd, 0x79bec507, 0x96d28c8f, 0xd1036dec)}}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Nothing}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, Nothing}, StochasticDiffEq.ImplicitEM{0, true, Nothing, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:central}, true, nothing, Float64, :Predictive}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.ImplicitEMCache{Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.SDEFunction{true, ModelingToolkit.var"#f#178"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbb642803, 0xc68b23ac, 0xcfd021d7, 0x6d9bdacf, 0xea292f6b)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x95ecd51b, 0xf4695acd, 0x79bec507, 0x96d28c8f, 0xd1036dec)}}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{Float64}, Vector{Vector{NTuple{12, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, Nothing, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}, Vector{Float64}, Nothing}, SciMLBase.SDEFunction{true, ModelingToolkit.var"#f#178"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbb642803, 0xc68b23ac, 0xcfd021d7, 0x6d9bdacf, 0xea292f6b)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x95ecd51b, 0xf4695acd, 0x79bec507, 0x96d28c8f, 0xd1036dec)}}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Nothing}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Nothing, StochasticDiffEq.SDEOptions{Float64, Float64, OrdinaryDiffEq.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), Nothing, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Int64, Float64, Float64, Float64, Tuple{}, Float64, Tuple{}}, Nothing, Float64, Nothing, Nothing})</mark>@ *initdt.jl:30*
11. <mark> **auto_dt_reset!** </mark>@ *integrator_interface.jl:352* [inlined]
12. <mark> **handle_dt!** (::StochasticDiffEq.SDEIntegrator{StochasticDiffEq.ImplicitEM{0, true, Nothing, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:central}, true, nothing, Float64, :Predictive}, true, Vector{Float64}, Float64, Float64, Float64, Vector{Float64}, Float64, Float64, Float64, DiffEqNoiseProcess.NoiseProcess{Float64, 2, Float64, Vector{Float64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, Vector{Float64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, Vector{Float64}, Nothing}, true}, DiffEqNoiseProcess.RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, Nothing, Vector{Float64}, SciMLBase.RODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, DiffEqNoiseProcess.NoiseProcess{Float64, 2, Float64, Vector{Float64}, Nothing, Nothing, typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_DIST), typeof(DiffEqNoiseProcess.INPLACE_WHITE_NOISE_BRIDGE), true, ResettableStacks.ResettableStack{Tuple{Float64, Vector{Float64}, Nothing}, true}, ResettableStacks.ResettableStack{Tuple{Float64, Vector{Float64}, Nothing}, true}, DiffEqNoiseProcess.RSWM{Float64}, Nothing, RandomNumbers.Xorshifts.Xoroshiro128Plus}, SciMLBase.SDEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, Nothing, SciMLBase.SDEFunction{true, ModelingToolkit.var"#f#178"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbb642803, 0xc68b23ac, 0xcfd021d7, 0x6d9bdacf, 0xea292f6b)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x95ecd51b, 0xf4695acd, 0x79bec507, 0x96d28c8f, 0xd1036dec)}}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Nothing}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, Nothing}, StochasticDiffEq.ImplicitEM{0, true, Nothing, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:central}, true, nothing, Float64, :Predictive}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, DiffEqBase.DEStats}, StochasticDiffEq.ImplicitEMCache{Vector{Float64}, Vector{Float64}, OrdinaryDiffEq.NLSolver{DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, true, Vector{Float64}, Float64, Nothing, Float64, OrdinaryDiffEq.NLNewtonCache{Vector{Float64}, Float64, Float64, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, SciMLBase.UJacobianWrapper{SciMLBase.SDEFunction{true, ModelingToolkit.var"#f#178"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbb642803, 0xc68b23ac, 0xcfd021d7, 0x6d9bdacf, 0xea292f6b)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x95ecd51b, 0xf4695acd, 0x79bec507, 0x96d28c8f, 0xd1036dec)}}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Nothing}, Float64, Vector{Float64}}, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{OrdinaryDiffEq.OrdinaryDiffEqTag, Float64}, Float64, 12}}, Vector{Float64}, Vector{Vector{NTuple{12, Float64}}}, UnitRange{Int64}, Nothing}, LinearSolve.LinearCache{Matrix{Float64}, Vector{Float64}, Vector{Float64}, SciMLBase.NullParameters, Nothing, LinearAlgebra.LU{Float64, Matrix{Float64}}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}, Float64}}}, Vector{Float64}, Nothing}, SciMLBase.SDEFunction{true, ModelingToolkit.var"#f#178"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbb642803, 0xc68b23ac, 0xcfd021d7, 0x6d9bdacf, 0xea292f6b)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x95ecd51b, 0xf4695acd, 0x79bec507, 0x96d28c8f, 0xd1036dec)}}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Nothing}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Nothing, StochasticDiffEq.SDEOptions{Float64, Float64, OrdinaryDiffEq.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), Nothing, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Int64, Float64, Float64, Float64, Tuple{}, Float64, Tuple{}}, Nothing, Float64, Nothing, Nothing})</mark>@ *solve.jl:636*
13. <mark> **var"#__init#101"** (::Float64, ::Tuple{}, ::Tuple{}, ::Nothing, ::Bool, ::Bool, ::Bool, ::Bool, ::Nothing, ::Nothing, ::Bool, ::Bool, ::Float64, ::Bool, ::Rational{Int64}, ::Float64, ::Float64, ::Rational{Int64}, ::Rational{Int64}, ::Int64, ::Int64, ::Nothing, ::Nothing, ::Rational{Int64}, ::Nothing, ::Bool, ::Int64, ::Rational{Int64}, ::Int64, ::Float64, ::Float64, ::typeof(DiffEqBase.ODE_DEFAULT_NORM), ::typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), ::typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Int64, ::String, ::typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), ::Nothing, ::Bool, ::UInt64, ::Bool, ::Bool, ::Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, ::typeof(SciMLBase.__init), ::SciMLBase.SDEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, Nothing, SciMLBase.SDEFunction{true, ModelingToolkit.var"#f#178"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbb642803, 0xc68b23ac, 0xcfd021d7, 0x6d9bdacf, 0xea292f6b)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x95ecd51b, 0xf4695acd, 0x79bec507, 0x96d28c8f, 0xd1036dec)}}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Nothing}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, Nothing}, ::StochasticDiffEq.ImplicitEM{0, true, Nothing, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:central}, true, nothing, Float64, :Predictive}, ::Vector{Any}, ::Vector{Any}, ::Type, ::Type{Val{true}})</mark>@ *solve.jl:589*
14. <mark> **var"#__solve#100"** (::Base.Iterators.Pairs{Symbol, Float64, Tuple{Symbol, Symbol, Symbol}, NamedTuple{(:saveat, :reltol, :abstol), Tuple{Float64, Float64, Float64}}}, ::typeof(SciMLBase.__solve), ::SciMLBase.SDEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, Nothing, SciMLBase.SDEFunction{true, ModelingToolkit.var"#f#178"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbb642803, 0xc68b23ac, 0xcfd021d7, 0x6d9bdacf, 0xea292f6b)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x95ecd51b, 0xf4695acd, 0x79bec507, 0x96d28c8f, 0xd1036dec)}}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Nothing}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, Nothing}, ::StochasticDiffEq.ImplicitEM{0, true, Nothing, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:central}, true, nothing, Float64, :Predictive}, ::Vector{Any}, ::Vector{Any}, ::Nothing, ::Type{Val{true}})</mark>@ *solve.jl:6*
15. <mark> **#solve_call#37** </mark>@ *solve.jl:61* [inlined]
16. <mark> **var"#solve_up#39"** (::Base.Iterators.Pairs{Symbol, Float64, Tuple{Symbol, Symbol, Symbol}, NamedTuple{(:saveat, :reltol, :abstol), Tuple{Float64, Float64, Float64}}}, ::typeof(DiffEqBase.solve_up), ::SciMLBase.SDEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, Nothing, SciMLBase.SDEFunction{true, ModelingToolkit.var"#f#178"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbb642803, 0xc68b23ac, 0xcfd021d7, 0x6d9bdacf, 0xea292f6b)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x95ecd51b, 0xf4695acd, 0x79bec507, 0x96d28c8f, 0xd1036dec)}}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Nothing}, ModelingToolkit.var"#g#179"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe3a7131b, 0xeaf8987b, 0x0736d920, 0x33e0ecd4, 0x06d15abd)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :ˍ₋arg1, :ˍ₋arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xe69c5b07, 0x85be034d, 0x9a615735, 0x01ad7cff, 0xf1c3fd9a)}}, Base.Iterators.Pairs{Union{}, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}, Nothing}, ::Nothing, ::Vector{Float64}, ::Vector{Float64}, ::StochasticDiffEq.ImplicitEM{0, true, Nothing, DiffEqBase.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}}, typeof(OrdinaryDiffEq.DEFAULT_PRECS), Val{:central}, true, nothing, Float64, :Predictive})</mark>@ *solve.jl:87*
17. <mark> **#solve#38** </mark>@ *solve.jl:73* [inlined]
18. <mark> **top-level scope** </mark>@ *[Local: 1](http://localhost:1234/edit?id=a5b34d5a-8ed7-11ec-0f49-eb765a4ee858#)* [inlined]
2

You need to share a way to reproduce it. Is it only in Pluto?

4

Yes, I was playing around with it in Pluto. Should I convert it into normal code file and share with you?

5

Pluto notebooks are just Julia files. But I’m also curious if it’s Pluto-specific.

6

I can check that by running it on VSCode. I have pinned down the location of the error though. I am generating an ODESystem using structural_simplify

sys = structural_simplify(WTA_model)

and converting it directly to SDESystem by adding noiseeqs

@named sys_sde = SDESystem(sys,noiseeqs)

Now, when I run just the ODESystem before adding noise as an ODEProblem it is running just fine.

prob1 = ODEProblem(sys,u0,(0.0,simtime))
sol = solve(prob1,SOSRI(),saveat = 0.01,reltol=1e-4,abstol=1e-4)

but oly when I run th SDESystem obtained fromthe ODESystem I am getting the error.
prob1 = SDEProblem(sys_sde,u0,(0.0,simtime))

I think the direct conversion from ODESystem to SDESystem is not happening correctly. Also, this problem happened after I updated MTK to 8.4.1, not sure if that’s the problem.

7

@ChrisRackauckas it turns out that it is a bug with MTK 8. It works fine with MTK 7.1.3. I can raise an issue in the MTK repo but do I need to share my code file or just explain where the error is coming like I did here.

8

You’ll need to share an example that reproduces the issue.