Package evaluation of CellMetabolismBase on Julia 1.10.9 (96dc2d8c45*) started at 2025-06-06T18:59:21.630 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 5.32s ################################################################################ # Installation # Installing CellMetabolismBase... Resolving package versions... Updating `~/.julia/environments/v1.10/Project.toml` [29f58b35] + CellMetabolismBase v0.1.0 Updating `~/.julia/environments/v1.10/Manifest.toml` [47edcb42] + ADTypes v1.14.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.19.0 [29f58b35] + CellMetabolismBase v0.1.0 [d360d2e6] + ChainRulesCore v1.25.1 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.5.8 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [31c24e10] + Distributions v0.25.120 [ffbed154] + DocStringExtensions v0.9.4 [4e289a0a] + EnumX v1.0.5 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [1a297f60] + FillArrays v1.13.0 [f6369f11] + ForwardDiff v1.0.1 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [46192b85] + GPUArraysCore v0.2.0 [34004b35] + HypergeometricFunctions v0.3.28 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [ae98c720] + Jieko v0.2.1 [b964fa9f] + LaTeXStrings v1.4.0 [2ee39098] + LabelledArrays v1.16.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.16 [e1d29d7a] + Missings v1.2.0 [2e0e35c7] + Moshi v0.3.5 [77ba4419] + NaNMath v1.1.3 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 [d236fae5] + PreallocationTools v0.4.27 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.33.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [7e49a35a] + RuntimeGeneratedFunctions v0.5.15 [0bca4576] + SciMLBase v2.97.0 [c0aeaf25] + SciMLOperators v1.3.1 [53ae85a6] + SciMLStructures v1.7.0 [a2af1166] + SortingAlgorithms v1.2.1 [276daf66] + SpecialFunctions v2.5.1 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.5 [4c63d2b9] + StatsFuns v1.5.0 [892a3eda] + StringManipulation v0.4.1 [2efcf032] + SymbolicIndexingInterface v0.3.40 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [56f22d72] + Artifacts [2a0f44e3] + Base64 [ade2ca70] + Dates [8ba89e20] + Distributed [b77e0a4c] + InteractiveUtils [8f399da3] + Libdl [37e2e46d] + LinearAlgebra [56ddb016] + Logging [d6f4376e] + Markdown [de0858da] + Printf [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [6462fe0b] + Sockets [2f01184e] + SparseArrays v1.10.0 [10745b16] + Statistics v1.10.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs [4ec0a83e] + Unicode [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [4536629a] + OpenBLAS_jll v0.3.23+4 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.2.1+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 8.56s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 78.08s ################################################################################ # Testing # Testing CellMetabolismBase Status `/tmp/jl_op3G37/Project.toml` [4c88cf16] Aqua v0.8.13 [6e4b80f9] BenchmarkTools v1.6.0 [29f58b35] CellMetabolismBase v0.1.0 [31c24e10] Distributions v0.25.120 ⌅ [c3a54625] JET v0.9.18 [2ee39098] LabelledArrays v1.16.1 [1dea7af3] OrdinaryDiffEq v6.98.0 [0bca4576] SciMLBase v2.97.0 [f8b46487] TestItemRunner v1.1.0 [8dfed614] Test Status `/tmp/jl_op3G37/Manifest.toml` [47edcb42] ADTypes v1.14.0 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.13 [4fba245c] ArrayInterface v7.19.0 [4c555306] ArrayLayouts v1.11.1 [6e4b80f9] BenchmarkTools v1.6.0 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [70df07ce] BracketingNonlinearSolve v1.3.0 [2a0fbf3d] CPUSummary v0.2.6 [29f58b35] CellMetabolismBase v0.1.0 [d360d2e6] ChainRulesCore v1.25.1 [fb6a15b2] CloseOpenIntervals v0.1.13 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Test [cf7118a7] UUIDs [4ec0a83e] Unicode [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] LibCURL_jll v8.4.0+0 [e37daf67] LibGit2_jll v1.6.4+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.2+1 [14a3606d] MozillaCACerts_jll v2023.1.10 [4536629a] OpenBLAS_jll v0.3.23+4 [05823500] OpenLibm_jll v0.8.5+0 [bea87d4a] SuiteSparse_jll v7.2.1+1 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.52.0+1 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... Manual ODE solve=4.3ms Manual ODE allocations=12985 Package ODE solve=4.6ms Package ODE allocations=12985 WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:Enz1, (:A_media,), (:A,)}, Any, Any) in module ##254 at /home/pkgeval/.julia/packages/CellMetabolismBase/njlGm/test/tests_make_ODEProblem.jl:14 overwritten in module ##312 at /home/pkgeval/.julia/packages/CellMetabolismBase/njlGm/test/tests_make_EnsembleProblem.jl:16. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:Enz2, (:A,), (:B, :B)}, Any, Any) in module ##254 at /home/pkgeval/.julia/packages/CellMetabolismBase/njlGm/test/tests_make_ODEProblem.jl:22 overwritten in module ##312 at /home/pkgeval/.julia/packages/CellMetabolismBase/njlGm/test/tests_make_EnsembleProblem.jl:25. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:Enz3, (:B,), (:C,)}, Any, Any) in module ##254 at /home/pkgeval/.julia/packages/CellMetabolismBase/njlGm/test/tests_make_ODEProblem.jl:26 overwritten in module ##312 at /home/pkgeval/.julia/packages/CellMetabolismBase/njlGm/test/tests_make_EnsembleProblem.jl:30. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:Enz4, (:C, :C), (:D,)}, Any, Any) in module ##254 at /home/pkgeval/.julia/packages/CellMetabolismBase/njlGm/test/tests_make_ODEProblem.jl:30 overwritten in module ##312 at /home/pkgeval/.julia/packages/CellMetabolismBase/njlGm/test/tests_make_EnsembleProblem.jl:35. ┌ Warning: `Base.getindex(VA::AbstractVectorOfArray{T, N, A}, I::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[I]` instead. │ caller = macro expansion at Test.jl:669 [inlined] └ @ Core /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:669 ┌ Warning: `Base.getindex(VA::AbstractVectorOfArray{T, N, A}, I::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[I]` instead. │ caller = macro expansion at Test.jl:669 [inlined] └ @ Core /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:669 ┌ Warning: `Base.getindex(VA::AbstractVectorOfArray{T, N, A}, I::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[I]` instead. │ caller = macro expansion at Test.jl:669 [inlined] └ @ Core /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:669 ┌ Warning: `Base.getindex(VA::AbstractVectorOfArray{T, N, A}, I::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[I]` instead. │ caller = macro expansion at Test.jl:669 [inlined] └ @ Core /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:669 ┌ Warning: `Base.getindex(VA::AbstractVectorOfArray{T, N, A}, I::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[I]` instead. │ caller = macro expansion at Test.jl:669 [inlined] └ @ Core /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:669 ┌ Warning: `Base.getindex(VA::AbstractVectorOfArray{T, N, A}, I::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[I]` instead. │ caller = macro expansion at Test.jl:669 [inlined] └ @ Core /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:669 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = (::Main.var"##312".var"#1#2")(s::SciMLBase.ODESolution{Float64, 2, Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}}, Nothing, SciMLBase.ODEProblem{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Tuple{Float64, Float64}, true, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:Enz1_Vmax, :Enz1_Keq, :Enz1_K_A_media, :Enz1_K_A, :Enz2_Vmax, :Enz2_Keq, :Enz2_K_A, :Enz2_K_B, :Enz3_Vmax, :Enz3_Keq, :Enz3_K_B, :Enz3_K_C, :Enz4_Vmax, :Enz4_Keq, :Enz4_K_C, :Enz4_K_D)}, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqRosenbrock.Rodas5P{0, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}, Vector{Float64}, Vector{Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}}, Nothing, OrdinaryDiffEqRosenbrock.RosenbrockCache{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Matrix{Float64}, Matrix{Float64}, OrdinaryDiffEqRosenbrock.RodasTableau{Float64, Float64}, SciMLBase.TimeGradientWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:Enz1_Vmax, :Enz1_Keq, :Enz1_K_A_media, :Enz1_K_A, :Enz2_Vmax, :Enz2_Keq, :Enz2_K_A, :Enz2_K_B, :Enz3_Vmax, :Enz3_Keq, :Enz3_K_B, :Enz3_K_C, :Enz4_Vmax, :Enz4_Keq, :Enz4_K_C, :Enz4_K_D)}}, SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:Enz1_Vmax, :Enz1_Keq, :Enz1_K_A_media, :Enz1_K_A, :Enz2_Vmax, :Enz2_Keq, :Enz2_K_A, :Enz2_K_B, :Enz3_Vmax, :Enz3_Keq, :Enz3_K_B, :Enz3_K_C, :Enz4_Vmax, :Enz4_Keq, :Enz4_K_C, :Enz4_K_D)}}, LinearSolve.LinearCache{Matrix{Float64}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, SciMLBase.NullParameters, LinearSolve.DefaultLinearSolver, LinearSolve.DefaultLinearSolverInit{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, LinearAlgebra.QRCompactWY{Float64, Matrix{Float64}, Matrix{Float64}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Vector{Int64}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Vector{Int64}}, Nothing, Nothing, Nothing, LinearAlgebra.SVD{Float64, Float64, Matrix{Float64}, Vector{Float64}}, LinearAlgebra.Cholesky{Float64, Matrix{Float64}}, LinearAlgebra.Cholesky{Float64, Matrix{Float64}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int32}}, Base.RefValue{Int32}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Base.RefValue{Int64}}, LinearAlgebra.QRPivoted{Float64, Matrix{Float64}, Vector{Float64}, Vector{Int64}}, Nothing, Nothing}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}}, LinearAlgebra.Diagonal{Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}, Float64, Bool, LinearSolve.LinearSolveAdjoint{Missing}}, Tuple{DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgJacobianPrep{Nothing, ForwardDiff.JacobianConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5, Tuple{LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}}}, Tuple{}}, DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgJacobianPrep{Nothing, ForwardDiff.JacobianConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5, Tuple{LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}}}, Tuple{}}}, Tuple{DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgDerivativePrep{Nothing, ForwardDiff.DerivativeConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, (:A_media, :A, :B, :C, :D)}}, Tuple{}}, DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgDerivativePrep{Nothing, ForwardDiff.DerivativeConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, (:A_media, :A, :B, :C, :D)}}, Tuple{}}}, Float64, OrdinaryDiffEqRosenbrock.Rodas5P{0, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}) at none:0 └ @ Main.var"##312" ./none:0 ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = (::Main.var"##312".var"#1#2")(s::SciMLBase.ODESolution{Float64, 2, Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}}, Nothing, SciMLBase.ODEProblem{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Tuple{Float64, Float64}, true, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:Enz1_Vmax, :Enz1_Keq, :Enz1_K_A_media, :Enz1_K_A, :Enz2_Vmax, :Enz2_Keq, :Enz2_K_A, :Enz2_K_B, :Enz3_Vmax, :Enz3_Keq, :Enz3_K_B, :Enz3_K_C, :Enz4_Vmax, :Enz4_Keq, :Enz4_K_C, :Enz4_K_D)}, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqRosenbrock.Rodas5P{0, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}, Vector{Float64}, Vector{Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}}, Nothing, OrdinaryDiffEqRosenbrock.RosenbrockCache{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Matrix{Float64}, Matrix{Float64}, OrdinaryDiffEqRosenbrock.RodasTableau{Float64, Float64}, SciMLBase.TimeGradientWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:Enz1_Vmax, :Enz1_Keq, :Enz1_K_A_media, :Enz1_K_A, :Enz2_Vmax, :Enz2_Keq, :Enz2_K_A, :Enz2_K_B, :Enz3_Vmax, :Enz3_Keq, :Enz3_K_B, :Enz3_K_C, :Enz4_Vmax, :Enz4_Keq, :Enz4_K_C, :Enz4_K_D)}}, SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:Enz1_Vmax, :Enz1_Keq, :Enz1_K_A_media, :Enz1_K_A, :Enz2_Vmax, :Enz2_Keq, :Enz2_K_A, :Enz2_K_B, :Enz3_Vmax, :Enz3_Keq, :Enz3_K_B, :Enz3_K_C, :Enz4_Vmax, :Enz4_Keq, :Enz4_K_C, :Enz4_K_D)}}, LinearSolve.LinearCache{Matrix{Float64}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, SciMLBase.NullParameters, LinearSolve.DefaultLinearSolver, LinearSolve.DefaultLinearSolverInit{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, LinearAlgebra.QRCompactWY{Float64, Matrix{Float64}, Matrix{Float64}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Vector{Int64}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Vector{Int64}}, Nothing, Nothing, Nothing, LinearAlgebra.SVD{Float64, Float64, Matrix{Float64}, Vector{Float64}}, LinearAlgebra.Cholesky{Float64, Matrix{Float64}}, LinearAlgebra.Cholesky{Float64, Matrix{Float64}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int32}}, Base.RefValue{Int32}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Base.RefValue{Int64}}, LinearAlgebra.QRPivoted{Float64, Matrix{Float64}, Vector{Float64}, Vector{Int64}}, Nothing, Nothing}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}}, LinearAlgebra.Diagonal{Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}, Float64, Bool, LinearSolve.LinearSolveAdjoint{Missing}}, Tuple{DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgJacobianPrep{Nothing, ForwardDiff.JacobianConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5, Tuple{LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}}}, Tuple{}}, DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgJacobianPrep{Nothing, ForwardDiff.JacobianConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5, Tuple{LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}}}, Tuple{}}}, Tuple{DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgDerivativePrep{Nothing, ForwardDiff.DerivativeConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, (:A_media, :A, :B, :C, :D)}}, Tuple{}}, DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgDerivativePrep{Nothing, ForwardDiff.DerivativeConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, (:A_media, :A, :B, :C, :D)}}, Tuple{}}}, Float64, OrdinaryDiffEqRosenbrock.Rodas5P{0, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}) at none:0 └ @ Main.var"##312" ./none:0 ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = (::Main.var"##312".var"#3#4")(s::SciMLBase.ODESolution{Float64, 2, Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}}, Nothing, SciMLBase.ODEProblem{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Tuple{Float64, Float64}, true, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:Enz1_Vmax, :Enz1_Keq, :Enz1_K_A_media, :Enz1_K_A, :Enz2_Vmax, :Enz2_Keq, :Enz2_K_A, :Enz2_K_B, :Enz3_Vmax, :Enz3_Keq, :Enz3_K_B, :Enz3_K_C, :Enz4_Vmax, :Enz4_Keq, :Enz4_K_C, :Enz4_K_D)}, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqRosenbrock.Rodas5P{0, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}, Vector{Float64}, Vector{Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}}, Nothing, OrdinaryDiffEqRosenbrock.RosenbrockCache{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Matrix{Float64}, Matrix{Float64}, OrdinaryDiffEqRosenbrock.RodasTableau{Float64, Float64}, SciMLBase.TimeGradientWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:Enz1_Vmax, :Enz1_Keq, :Enz1_K_A_media, :Enz1_K_A, :Enz2_Vmax, :Enz2_Keq, :Enz2_K_A, :Enz2_K_B, :Enz3_Vmax, :Enz3_Keq, :Enz3_K_B, :Enz3_K_C, :Enz4_Vmax, :Enz4_Keq, :Enz4_K_C, :Enz4_K_D)}}, SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:Enz1_Vmax, :Enz1_Keq, :Enz1_K_A_media, :Enz1_K_A, :Enz2_Vmax, :Enz2_Keq, :Enz2_K_A, :Enz2_K_B, :Enz3_Vmax, :Enz3_Keq, :Enz3_K_B, :Enz3_K_C, :Enz4_Vmax, :Enz4_Keq, :Enz4_K_C, :Enz4_K_D)}}, LinearSolve.LinearCache{Matrix{Float64}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, SciMLBase.NullParameters, LinearSolve.DefaultLinearSolver, LinearSolve.DefaultLinearSolverInit{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, LinearAlgebra.QRCompactWY{Float64, Matrix{Float64}, Matrix{Float64}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Vector{Int64}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Vector{Int64}}, Nothing, Nothing, Nothing, LinearAlgebra.SVD{Float64, Float64, Matrix{Float64}, Vector{Float64}}, LinearAlgebra.Cholesky{Float64, Matrix{Float64}}, LinearAlgebra.Cholesky{Float64, Matrix{Float64}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int32}}, Base.RefValue{Int32}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Base.RefValue{Int64}}, LinearAlgebra.QRPivoted{Float64, Matrix{Float64}, Vector{Float64}, Vector{Int64}}, Nothing, Nothing}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}}, LinearAlgebra.Diagonal{Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}, Float64, Bool, LinearSolve.LinearSolveAdjoint{Missing}}, Tuple{DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgJacobianPrep{Nothing, ForwardDiff.JacobianConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5, Tuple{LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}}}, Tuple{}}, DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgJacobianPrep{Nothing, ForwardDiff.JacobianConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5, Tuple{LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}}}, Tuple{}}}, Tuple{DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgDerivativePrep{Nothing, ForwardDiff.DerivativeConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, (:A_media, :A, :B, :C, :D)}}, Tuple{}}, DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgDerivativePrep{Nothing, ForwardDiff.DerivativeConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, (:A_media, :A, :B, :C, :D)}}, Tuple{}}}, Float64, OrdinaryDiffEqRosenbrock.Rodas5P{0, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}) at none:0 └ @ Main.var"##312" ./none:0 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = (::Main.var"##312".var"#5#6")(s::SciMLBase.ODESolution{Float64, 2, Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}}, Nothing, SciMLBase.ODEProblem{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Tuple{Float64, Float64}, true, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:Enz1_Vmax, :Enz1_Keq, :Enz1_K_A_media, :Enz1_K_A, :Enz2_Vmax, :Enz2_Keq, :Enz2_K_A, :Enz2_K_B, :Enz3_Vmax, :Enz3_Keq, :Enz3_K_B, :Enz3_K_C, :Enz4_Vmax, :Enz4_Keq, :Enz4_K_C, :Enz4_K_D)}, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqRosenbrock.Rodas5P{0, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}, Vector{Float64}, Vector{Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}}, Nothing, OrdinaryDiffEqRosenbrock.RosenbrockCache{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Matrix{Float64}, Matrix{Float64}, OrdinaryDiffEqRosenbrock.RodasTableau{Float64, Float64}, SciMLBase.TimeGradientWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:Enz1_Vmax, :Enz1_Keq, :Enz1_K_A_media, :Enz1_K_A, :Enz2_Vmax, :Enz2_Keq, :Enz2_K_A, :Enz2_K_B, :Enz3_Vmax, :Enz3_Keq, :Enz3_K_B, :Enz3_K_C, :Enz4_Vmax, :Enz4_Keq, :Enz4_K_C, :Enz4_K_D)}}, SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:Enz1_Vmax, :Enz1_Keq, :Enz1_K_A_media, :Enz1_K_A, :Enz2_Vmax, :Enz2_Keq, :Enz2_K_A, :Enz2_K_B, :Enz3_Vmax, :Enz3_Keq, :Enz3_K_B, :Enz3_K_C, :Enz4_Vmax, :Enz4_Keq, :Enz4_K_C, :Enz4_K_D)}}, LinearSolve.LinearCache{Matrix{Float64}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, SciMLBase.NullParameters, LinearSolve.DefaultLinearSolver, LinearSolve.DefaultLinearSolverInit{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, LinearAlgebra.QRCompactWY{Float64, Matrix{Float64}, Matrix{Float64}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Vector{Int64}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Vector{Int64}}, Nothing, Nothing, Nothing, LinearAlgebra.SVD{Float64, Float64, Matrix{Float64}, Vector{Float64}}, LinearAlgebra.Cholesky{Float64, Matrix{Float64}}, LinearAlgebra.Cholesky{Float64, Matrix{Float64}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int32}}, Base.RefValue{Int32}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Base.RefValue{Int64}}, LinearAlgebra.QRPivoted{Float64, Matrix{Float64}, Vector{Float64}, Vector{Int64}}, Nothing, Nothing}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}}, LinearAlgebra.Diagonal{Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}, Float64, Bool, LinearSolve.LinearSolveAdjoint{Missing}}, Tuple{DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgJacobianPrep{Nothing, ForwardDiff.JacobianConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5, Tuple{LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}}}, Tuple{}}, DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgJacobianPrep{Nothing, ForwardDiff.JacobianConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5, Tuple{LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}}}, Tuple{}}}, Tuple{DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgDerivativePrep{Nothing, ForwardDiff.DerivativeConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, (:A_media, :A, :B, :C, :D)}}, Tuple{}}, DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgDerivativePrep{Nothing, ForwardDiff.DerivativeConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, (:A_media, :A, :B, :C, :D)}}, Tuple{}}}, Float64, OrdinaryDiffEqRosenbrock.Rodas5P{0, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}) at none:0 └ @ Main.var"##312" ./none:0 ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = (::Main.var"##312".var"#5#6")(s::SciMLBase.ODESolution{Float64, 2, Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}}, Nothing, SciMLBase.ODEProblem{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Tuple{Float64, Float64}, true, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:Enz1_Vmax, :Enz1_Keq, :Enz1_K_A_media, :Enz1_K_A, :Enz2_Vmax, :Enz2_Keq, :Enz2_K_A, :Enz2_K_B, :Enz3_Vmax, :Enz3_Keq, :Enz3_K_B, :Enz3_K_C, :Enz4_Vmax, :Enz4_Keq, :Enz4_K_C, :Enz4_K_D)}, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Base.Pairs{Symbol, Union{}, Tuple{}, @NamedTuple{}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqRosenbrock.Rodas5P{0, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}, Vector{Float64}, Vector{Vector{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}}, Nothing, OrdinaryDiffEqRosenbrock.RosenbrockCache{LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Matrix{Float64}, Matrix{Float64}, OrdinaryDiffEqRosenbrock.RodasTableau{Float64, Float64}, SciMLBase.TimeGradientWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:Enz1_Vmax, :Enz1_Keq, :Enz1_K_A_media, :Enz1_K_A, :Enz2_Vmax, :Enz2_Keq, :Enz2_K_A, :Enz2_K_B, :Enz3_Vmax, :Enz3_Keq, :Enz3_K_B, :Enz3_K_C, :Enz4_Vmax, :Enz4_Keq, :Enz4_K_C, :Enz4_K_D)}}, SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#2#3"{CellMetabolismBase.MetabolicPathway{(:A_media,), ((:Enz1, (:A_media,), (:A,)), (:Enz2, (:A,), (:B, :B)), (:Enz3, (:B,), (:C,)), (:Enz4, (:C, :C), (:D,)))}}, LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:Enz1_Vmax, :Enz1_Keq, :Enz1_K_A_media, :Enz1_K_A, :Enz2_Vmax, :Enz2_Keq, :Enz2_K_A, :Enz2_K_B, :Enz3_Vmax, :Enz3_Keq, :Enz3_K_B, :Enz3_K_C, :Enz4_Vmax, :Enz4_Keq, :Enz4_K_C, :Enz4_K_D)}}, LinearSolve.LinearCache{Matrix{Float64}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, SciMLBase.NullParameters, LinearSolve.DefaultLinearSolver, LinearSolve.DefaultLinearSolverInit{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, LinearAlgebra.QRCompactWY{Float64, Matrix{Float64}, Matrix{Float64}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Vector{Int64}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Vector{Int64}}, Nothing, Nothing, Nothing, LinearAlgebra.SVD{Float64, Float64, Matrix{Float64}, Vector{Float64}}, LinearAlgebra.Cholesky{Float64, Matrix{Float64}}, LinearAlgebra.Cholesky{Float64, Matrix{Float64}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int32}}, Base.RefValue{Int32}}, Tuple{LinearAlgebra.LU{Float64, Matrix{Float64}, Vector{Int64}}, Base.RefValue{Int64}}, LinearAlgebra.QRPivoted{Float64, Matrix{Float64}, Vector{Float64}, Vector{Int64}}, Nothing, Nothing}, LinearSolve.InvPreconditioner{LinearAlgebra.Diagonal{Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}}, LinearAlgebra.Diagonal{Float64, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}}, Float64, Bool, LinearSolve.LinearSolveAdjoint{Missing}}, Tuple{DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgJacobianPrep{Nothing, ForwardDiff.JacobianConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5, Tuple{LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}}}, Tuple{}}, DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgJacobianPrep{Nothing, ForwardDiff.JacobianConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5, Tuple{LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 5}}, (:A_media, :A, :B, :C, :D)}}}, Tuple{}}}, Tuple{DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgDerivativePrep{Nothing, ForwardDiff.DerivativeConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, (:A_media, :A, :B, :C, :D)}}, Tuple{}}, DifferentiationInterfaceForwardDiffExt.ForwardDiffTwoArgDerivativePrep{Nothing, ForwardDiff.DerivativeConfig{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, LabelledArrays.LArray{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}, 1, Vector{ForwardDiff.Dual{ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}, Float64, 1}}, (:A_media, :A, :B, :C, :D)}}, Tuple{}}}, Float64, OrdinaryDiffEqRosenbrock.Rodas5P{0, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}) at none:0 └ @ Main.var"##312" ./none:0 Test Summary: | Pass Total Time Package | 120 120 19m35.8s Testing CellMetabolismBase tests passed Testing completed after 1190.65s PkgEval succeeded after 1341.17s