Help with ModelingToolkit

Specific Domains Modelling & Simulations
1

I am playing with the continuous_events feature in ModelingToolkit and have gotten stuck. My current example is here. With ModelingToolkit 7.1.3, running limit_example() produces the error

ERROR: AssertionError: maximum(eq_ind2affect) == length(affect_functions)
Stacktrace 
Stacktrace:
  [1] generate_rootfinding_callback(cbs::Vector{ModelingToolkit.SymbolicContinuousCallback}, sys::ODESystem, dvs::Vector{Any}
, ps::Vector{Sym{Real, Base.ImmutableDict{DataType, Any}}}; kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple
{}}})
    @ ModelingToolkit ~/.julia/packages/ModelingToolkit/r5ZaU/src/systems/diffeqs/abstractodesystem.jl:207
  [2] generate_rootfinding_callback
    @ ~/.julia/packages/ModelingToolkit/r5ZaU/src/systems/diffeqs/abstractodesystem.jl:163 [inlined]
  [3] #generate_rootfinding_callback#204
    @ ~/.julia/packages/ModelingToolkit/r5ZaU/src/systems/diffeqs/abstractodesystem.jl:159 [inlined]
  [4] generate_rootfinding_callback(sys::ODESystem, dvs::Vector{Any}, ps::Vector{Sym{Real, Base.ImmutableDict{DataType, Any}}
}) (repeats 2 times)
    @ ModelingToolkit ~/.julia/packages/ModelingToolkit/r5ZaU/src/systems/diffeqs/abstractodesystem.jl:157
  [5] (ODEProblem{true})(sys::ODESystem, u0map::Dict{Num, Float64}, tspan::Tuple{Float64, Float64}, parammap::SciMLBase.NullP
arameters; callback::Nothing, kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
    @ ModelingToolkit ~/.julia/packages/ModelingToolkit/r5ZaU/src/systems/diffeqs/abstractodesystem.jl:658
  [6] (ODEProblem{true})(sys::ODESystem, u0map::Dict{Num, Float64}, tspan::Tuple{Float64, Float64}, parammap::SciMLBase.NullP
arameters) (repeats 2 times)
    @ ModelingToolkit ~/.julia/packages/ModelingToolkit/r5ZaU/src/systems/diffeqs/abstractodesystem.jl:655
  [7] ODEProblem(::ODESystem, ::Dict{Num, Float64}, ::Vararg{Any}; kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{()
, Tuple{}}})
    @ ModelingToolkit ~/.julia/packages/ModelingToolkit/r5ZaU/src/systems/diffeqs/abstractodesystem.jl:634
  [8] ODEProblem(::ODESystem, ::Dict{Num, Float64}, ::Vararg{Any})
    @ ModelingToolkit ~/.julia/packages/ModelingToolkit/r5ZaU/src/systems/diffeqs/abstractodesystem.jl:634
  [9] limit_example()
    @ Main ~/Desktop/PneumaticServoSimulation/limited_oscillator.jl:135
 [10] top-level scope
    @ REPL[52]:1

I only add 2 conditions and one affect, maximum(eq_ind2affect) = [9, 9] and length(affect_functions) = 11, so I tried changing that == to a <= and got this error

ERROR: UndefVarError: l₊fixed₊x not defined

Stacktrace 
Stacktrace:
  [1] macro expansion
    @ ~/.julia/packages/SymbolicUtils/fgHzN/src/code.jl:346 [inlined]
  [2] macro expansion
    @ ~/.julia/packages/Symbolics/LTmGT/src/build_function.jl:344 [inlined]
  [3] macro expansion
    @ ~/.julia/packages/SymbolicUtils/fgHzN/src/code.jl:304 [inlined]
  [4] macro expansion
    @ ~/.julia/packages/RuntimeGeneratedFunctions/KrkGo/src/RuntimeGeneratedFunctions.jl:129 [inlined]
  [5] macro expansion
    @ ./none:0 [inlined]
  [6] generated_callfunc
    @ ./none:0 [inlined]
  [7] (::RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xb4060ebc, 0x19d998a6, 0x7ea3327b, 0x99119623, 0x0258bc73)})(::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}, ::Vector{Float64}, ::Vector{Float64}, ::Float64)
    @ RuntimeGeneratedFunctions ~/.julia/packages/RuntimeGeneratedFunctions/KrkGo/src/RuntimeGeneratedFunctions.jl:117
  [8] #1247
    @ ~/Desktop/PneumaticServoSimulation/dev/ModelingToolkit/src/systems/diffeqs/abstractodesystem.jl:200 [inlined]
  [9] determine_event_occurance
    @ ~/.julia/packages/DiffEqBase/b1nST/src/callbacks.jl:503 [inlined]
 [10] find_callback_time(integrator::OrdinaryDiffEq.ODEIntegrator{Rodas5{5, true, DefaultLinSolve, Val{:forward}}, true, Vector{Float64}, Nothing, Float64, Vector{Float64}, 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, Vector{Float64}, ODEFunction{true, ModelingToolkit.var"#f#257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x7ff80265, 0xa9a09f24, 0xa8f50969, 0x1a051df2, 0x181b4495)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9489f5b8, 0x014f951b, 0xed2d7d75, 0xb0e2f583, 0x7d558f98)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, ModelingToolkit.var"#239#generated_observed#264"{Bool, ODESystem, Dict{Any, Any}}, Nothing}, Base.Pairs{Symbol, VectorContinuousCallback{ModelingToolkit.var"#1247#1257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xb4060ebc, 0x19d998a6, 0x7ea3327b, 0x99119623, 0x0258bc73)}}, ModelingToolkit.var"#1249#1259"{Vector{Function}, Vector{Int64}}, ModelingToolkit.var"#1249#1259"{Vector{Function}, Vector{Int64}}, typeof(DiffEqBase.INITIALIZE_DEFAULT), typeof(DiffEqBase.FINALIZE_DEFAULT), Float64, Int64, Rational{Int64}, Nothing, Int64}, Tuple{Symbol}, NamedTuple{(:callback,), Tuple{VectorContinuousCallback{ModelingToolkit.var"#1247#1257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xb4060ebc, 0x19d998a6, 0x7ea3327b, 0x99119623, 0x0258bc73)}}, ModelingToolkit.var"#1249#1259"{Vector{Function}, Vector{Int64}}, ModelingToolkit.var"#1249#1259"{Vector{Function}, Vector{Int64}}, typeof(DiffEqBase.INITIALIZE_DEFAULT), typeof(DiffEqBase.FINALIZE_DEFAULT), Float64, Int64, Rational{Int64}, Nothing, Int64}}}}, SciMLBase.StandardODEProblem}, Rodas5{5, true, DefaultLinSolve, Val{:forward}}, OrdinaryDiffEq.InterpolationData{ODEFunction{true, ModelingToolkit.var"#f#257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x7ff80265, 0xa9a09f24, 0xa8f50969, 0x1a051df2, 0x181b4495)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9489f5b8, 0x014f951b, 0xed2d7d75, 0xb0e2f583, 0x7d558f98)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, ModelingToolkit.var"#239#generated_observed#264"{Bool, ODESystem, Dict{Any, Any}}, Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, OrdinaryDiffEq.Rosenbrock5Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, OrdinaryDiffEq.Rodas5Tableau{Float64, Float64}, SciMLBase.TimeGradientWrapper{ODEFunction{true, ModelingToolkit.var"#f#257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x7ff80265, 0xa9a09f24, 0xa8f50969, 0x1a051df2, 0x181b4495)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9489f5b8, 0x014f951b, 0xed2d7d75, 0xb0e2f583, 0x7d558f98)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, ModelingToolkit.var"#239#generated_observed#264"{Bool, ODESystem, Dict{Any, Any}}, Nothing}, Vector{Float64}, Vector{Float64}}, SciMLBase.UJacobianWrapper{ODEFunction{true, ModelingToolkit.var"#f#257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x7ff80265, 0xa9a09f24, 0xa8f50969, 0x1a051df2, 0x181b4495)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9489f5b8, 0x014f951b, 0xed2d7d75, 0xb0e2f583, 0x7d558f98)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, ModelingToolkit.var"#239#generated_observed#264"{Bool, ODESystem, Dict{Any, Any}}, Nothing}, Float64, Vector{Float64}}, DefaultLinSolve, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{SciMLBase.UJacobianWrapper{ODEFunction{true, ModelingToolkit.var"#f#257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x7ff80265, 0xa9a09f24, 0xa8f50969, 0x1a051df2, 0x181b4495)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9489f5b8, 0x014f951b, 0xed2d7d75, 0xb0e2f583, 0x7d558f98)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, ModelingToolkit.var"#239#generated_observed#264"{Bool, ODESystem, Dict{Any, Any}}, Nothing}, Float64, Vector{Float64}}, Float64}, Float64, 5}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{SciMLBase.UJacobianWrapper{ODEFunction{true, ModelingToolkit.var"#f#257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x7ff80265, 0xa9a09f24, 0xa8f50969, 0x1a051df2, 0x181b4495)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9489f5b8, 0x014f951b, 0xed2d7d75, 0xb0e2f583, 0x7d558f98)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, ModelingToolkit.var"#239#generated_observed#264"{Bool, ODESystem, Dict{Any, Any}}, Nothing}, Float64, Vector{Float64}}, Float64}, Float64, 5}}, Vector{Float64}, Vector{Vector{NTuple{5, Float64}}}, UnitRange{Int64}, Nothing}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{SciMLBase.TimeGradientWrapper{ODEFunction{true, ModelingToolkit.var"#f#257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x7ff80265, 0xa9a09f24, 0xa8f50969, 0x1a051df2, 0x181b4495)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9489f5b8, 0x014f951b, 0xed2d7d75, 0xb0e2f583, 0x7d558f98)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, ModelingToolkit.var"#239#generated_observed#264"{Bool, ODESystem, Dict{Any, Any}}, Nothing}, Vector{Float64}, Vector{Float64}}, Float64}, Float64, 1}}}}, DiffEqBase.DEStats}, ODEFunction{true, ModelingToolkit.var"#f#257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x7ff80265, 0xa9a09f24, 0xa8f50969, 0x1a051df2, 0x181b4495)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9489f5b8, 0x014f951b, 0xed2d7d75, 0xb0e2f583, 0x7d558f98)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, ModelingToolkit.var"#239#generated_observed#264"{Bool, ODESystem, Dict{Any, Any}}, Nothing}, OrdinaryDiffEq.Rosenbrock5Cache{Vector{Float64}, Vector{Float64}, Vector{Float64}, Matrix{Float64}, Matrix{Float64}, OrdinaryDiffEq.Rodas5Tableau{Float64, Float64}, SciMLBase.TimeGradientWrapper{ODEFunction{true, ModelingToolkit.var"#f#257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x7ff80265, 0xa9a09f24, 0xa8f50969, 0x1a051df2, 0x181b4495)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9489f5b8, 0x014f951b, 0xed2d7d75, 0xb0e2f583, 0x7d558f98)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, ModelingToolkit.var"#239#generated_observed#264"{Bool, ODESystem, Dict{Any, Any}}, Nothing}, Vector{Float64}, Vector{Float64}}, SciMLBase.UJacobianWrapper{ODEFunction{true, ModelingToolkit.var"#f#257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x7ff80265, 0xa9a09f24, 0xa8f50969, 0x1a051df2, 0x181b4495)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9489f5b8, 0x014f951b, 0xed2d7d75, 0xb0e2f583, 0x7d558f98)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, ModelingToolkit.var"#239#generated_observed#264"{Bool, ODESystem, Dict{Any, Any}}, Nothing}, Float64, Vector{Float64}}, DefaultLinSolve, SparseDiffTools.ForwardColorJacCache{Vector{ForwardDiff.Dual{ForwardDiff.Tag{SciMLBase.UJacobianWrapper{ODEFunction{true, ModelingToolkit.var"#f#257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x7ff80265, 0xa9a09f24, 0xa8f50969, 0x1a051df2, 0x181b4495)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9489f5b8, 0x014f951b, 0xed2d7d75, 0xb0e2f583, 0x7d558f98)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, ModelingToolkit.var"#239#generated_observed#264"{Bool, ODESystem, Dict{Any, Any}}, Nothing}, Float64, Vector{Float64}}, Float64}, Float64, 5}}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{SciMLBase.UJacobianWrapper{ODEFunction{true, ModelingToolkit.var"#f#257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x7ff80265, 0xa9a09f24, 0xa8f50969, 0x1a051df2, 0x181b4495)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9489f5b8, 0x014f951b, 0xed2d7d75, 0xb0e2f583, 0x7d558f98)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, ModelingToolkit.var"#239#generated_observed#264"{Bool, ODESystem, Dict{Any, Any}}, Nothing}, Float64, Vector{Float64}}, Float64}, Float64, 5}}, Vector{Float64}, Vector{Vector{NTuple{5, Float64}}}, UnitRange{Int64}, Nothing}, Vector{ForwardDiff.Dual{ForwardDiff.Tag{SciMLBase.TimeGradientWrapper{ODEFunction{true, ModelingToolkit.var"#f#257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x7ff80265, 0xa9a09f24, 0xa8f50969, 0x1a051df2, 0x181b4495)}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x9489f5b8, 0x014f951b, 0xed2d7d75, 0xb0e2f583, 0x7d558f98)}}, Matrix{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Vector{Symbol}, Symbol, ModelingToolkit.var"#239#generated_observed#264"{Bool, ODESystem, Dict{Any, Any}}, Nothing}, Vector{Float64}, Vector{Float64}}, Float64}, Float64, 1}}}, OrdinaryDiffEq.DEOptions{Float64, Float64, Float64, Float64, PIController{Rational{Int64}}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(LinearAlgebra.opnorm), Nothing, CallbackSet{Tuple{VectorContinuousCallback{ModelingToolkit.var"#1247#1257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xb4060ebc, 0x19d998a6, 0x7ea3327b, 0x99119623, 0x0258bc73)}}, ModelingToolkit.var"#1249#1259"{Vector{Function}, Vector{Int64}}, ModelingToolkit.var"#1249#1259"{Vector{Function}, Vector{Int64}}, typeof(DiffEqBase.INITIALIZE_DEFAULT), typeof(DiffEqBase.FINALIZE_DEFAULT), Float64, Int64, Rational{Int64}, Nothing, Int64}}, 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, Tuple{}, Tuple{}, Tuple{}}, Vector{Float64}, Float64, DiffEqBase.CallbackCache{Vector{Float64}, Vector{Float64}}, OrdinaryDiffEq.DefaultInit}, callback::VectorContinuousCallback{ModelingToolkit.var"#1247#1257"{RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:??out, :??arg1, :??arg2, :t), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xb4060ebc, 0x19d998a6, 0x7ea3327b, 0x99119623, 0x0258bc73)}}, ModelingToolkit.var"#1249#1259"{Vector{Function}, Vector{Int64}}, ModelingToolkit.var"#1249#1259"{Vector{Function}, Vector{Int64}}, typeof(DiffEqBase.INITIALIZE_DEFAULT), typeof(DiffEqBase.FINALIZE_DEFAULT), Float64, Int64, Rational{Int64}, Nothing, Int64}, counter::Int64)
    @ DiffEqBase ~/.julia/packages/DiffEqBase/b1nST/src/callbacks.jl:734
 [11] find_first_continuous_callback
    @ ~/.julia/packages/DiffEqBase/b1nST/src/callbacks.jl:466 [inlined]

Truncated due to discourse message size limits.

Any idea what has gone wrong? Is the change to the assert valid? I’m still trying to sort this one out but I’m not sure why it can’t see that variable.

2

Please open an issue on the MTK repository

3

Issue here