Package evaluation of CellMetabolismBase on Julia 1.12.0-rc1.2 (995ff9db19*) started at 2025-07-14T20:03:31.616 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.91s ################################################################################ # Installation # Installing CellMetabolismBase... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [29f58b35] + CellMetabolismBase v0.2.0 Updating `~/.julia/environments/v1.12/Manifest.toml` [47edcb42] + ADTypes v1.15.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.19.0 [29f58b35] + CellMetabolismBase v0.2.0 [d360d2e6] + ChainRulesCore v1.25.2 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.17.0 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [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 v0.9.5 [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 v0.3.7 [77ba4419] + NaNMath v1.1.3 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 [d236fae5] + PreallocationTools v0.4.28 [aea7be01] + PrecompileTools v1.3.2 [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 v3.34.1 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [7e49a35a] + RuntimeGeneratedFunctions v0.5.15 [0bca4576] + SciMLBase v2.103.0 [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 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.5 [4c63d2b9] + StatsFuns v1.5.0 [892a3eda] + StringManipulation v0.4.1 [2efcf032] + SymbolicIndexingInterface v0.3.41 [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 v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 Installation completed after 4.3s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... ERROR: LoadError: The following 1 direct dependency failed to precompile: JET Failed to precompile JET [c3a54625-cd67-489e-a8e7-0a5a0ff4e31b] to "/home/pkgeval/.julia/compiled/v1.12/JET/jl_mi5jhb". WARNING: Imported binding Compiler.istopfunction was undeclared at import time during import to JET. ERROR: LoadError: UndefVarError: `LineInfoNode` not defined in `JET` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] top-level scope @ ~/.julia/packages/JET/yNWjn/src/JETBase.jl:202 [2] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [3] top-level scope @ ~/.julia/packages/JET/yNWjn/src/JET.jl:36 [4] include(mod::Module, _path::String) @ Base ./Base.jl:305 [5] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing) @ Base ./loading.jl:2991 [6] top-level scope @ stdin:5 [7] eval(m::Module, e::Any) @ Core ./boot.jl:489 [8] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2837 [9] include_string @ ./loading.jl:2847 [inlined] [10] exec_options(opts::Base.JLOptions) @ Base ./client.jl:319 [11] _start() @ Base ./client.jl:554 in expression starting at /home/pkgeval/.julia/packages/JET/yNWjn/src/JETBase.jl:202 in expression starting at /home/pkgeval/.julia/packages/JET/yNWjn/src/JET.jl:1 in expression starting at stdin: in expression starting at /PkgEval.jl/scripts/precompile.jl:37 Precompilation failed after 104.36s ################################################################################ # Testing # Testing CellMetabolismBase Status `/tmp/jl_4SeGCx/Project.toml` [4c88cf16] Aqua v0.8.13 [6e4b80f9] BenchmarkTools v1.6.0 [29f58b35] CellMetabolismBase v0.2.0 [31c24e10] Distributions v0.25.120 ⌅ [c3a54625] JET v0.9.19 [2ee39098] LabelledArrays v1.16.1 [1dea7af3] OrdinaryDiffEq v6.98.0 [0bca4576] SciMLBase v2.103.0 [f8b46487] TestItemRunner v1.1.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_4SeGCx/Manifest.toml` [47edcb42] ADTypes v1.15.0 [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 v0.2.0 [d360d2e6] ChainRulesCore v1.25.2 [fb6a15b2] CloseOpenIntervals v0.1.13 [da1fd8a2] CodeTracking v1.3.9 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.17.0 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [187b0558] ConstructionBase v1.6.0 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [2b5f629d] DiffEqBase v6.177.2 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.2 [31c24e10] Distributions v0.25.120 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.5 [f151be2c] EnzymeCore v0.8.12 [d4d017d3] ExponentialUtilities v1.27.0 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [7034ab61] FastBroadcast v0.3.5 [9aa1b823] FastClosures v0.3.2 [442a2c76] FastGaussQuadrature v1.0.2 [a4df4552] FastPower v1.1.3 [1a297f60] FillArrays v1.13.0 [6a86dc24] FiniteDiff v2.27.0 [f6369f11] ForwardDiff v1.0.1 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [46192b85] GPUArraysCore v0.2.0 [c145ed77] GenericSchur v0.5.5 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 ⌅ [c3a54625] JET v0.9.19 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [ae98c720] Jieko v0.2.1 ⌅ [aa1ae85d] JuliaInterpreter v0.9.46 ⌅ [70703baa] JuliaSyntax v0.4.10 [ba0b0d4f] Krylov v0.10.1 [b964fa9f] LaTeXStrings v1.4.0 [2ee39098] LabelledArrays v1.16.1 [10f19ff3] LayoutPointers v0.1.17 [5078a376] LazyArrays v2.6.1 [87fe0de2] LineSearch v0.1.4 [d3d80556] LineSearches v7.4.0 [7ed4a6bd] LinearSolve v3.18.2 [2ab3a3ac] LogExpFunctions v0.3.29 ⌃ [6f1432cf] LoweredCodeUtils v3.2.2 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [bb5d69b7] MaybeInplace v0.1.4 [e1d29d7a] Missings v1.2.0 [2e0e35c7] Moshi v0.3.7 [46d2c3a1] MuladdMacro v0.2.4 [d41bc354] NLSolversBase v7.10.0 [77ba4419] NaNMath v1.1.3 [8913a72c] NonlinearSolve v4.9.0 [be0214bd] NonlinearSolveBase v1.12.0 [5959db7a] NonlinearSolveFirstOrder v1.5.0 [9a2c21bd] NonlinearSolveQuasiNewton v1.6.0 [26075421] NonlinearSolveSpectralMethods v1.2.0 [bac558e1] OrderedCollections v1.8.1 [1dea7af3] OrdinaryDiffEq v6.98.0 [89bda076] OrdinaryDiffEqAdamsBashforthMoulton v1.2.0 [6ad6398a] OrdinaryDiffEqBDF v1.6.0 [bbf590c4] OrdinaryDiffEqCore v1.26.2 [50262376] OrdinaryDiffEqDefault v1.5.0 [4302a76b] OrdinaryDiffEqDifferentiation v1.10.0 [9286f039] OrdinaryDiffEqExplicitRK v1.1.0 [e0540318] OrdinaryDiffEqExponentialRK v1.4.0 [becaefa8] OrdinaryDiffEqExtrapolation v1.5.0 [5960d6e9] OrdinaryDiffEqFIRK v1.12.0 [101fe9f7] OrdinaryDiffEqFeagin v1.1.0 [d3585ca7] OrdinaryDiffEqFunctionMap v1.1.1 [d28bc4f8] OrdinaryDiffEqHighOrderRK v1.1.0 [9f002381] OrdinaryDiffEqIMEXMultistep v1.3.0 [521117fe] OrdinaryDiffEqLinear v1.3.0 [1344f307] OrdinaryDiffEqLowOrderRK v1.2.0 [b0944070] OrdinaryDiffEqLowStorageRK v1.3.0 [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.10.0 [c9986a66] OrdinaryDiffEqNordsieck v1.1.0 [5dd0a6cf] OrdinaryDiffEqPDIRK v1.3.1 [5b33eab2] OrdinaryDiffEqPRK v1.1.0 [04162be5] OrdinaryDiffEqQPRK v1.1.0 [af6ede74] OrdinaryDiffEqRKN v1.1.0 [43230ef6] OrdinaryDiffEqRosenbrock v1.11.0 [2d112036] OrdinaryDiffEqSDIRK v1.3.0 [669c94d9] OrdinaryDiffEqSSPRK v1.3.0 [e3e12d00] OrdinaryDiffEqStabilizedIRK v1.3.0 [358294b1] OrdinaryDiffEqStabilizedRK v1.1.0 [fa646aed] OrdinaryDiffEqSymplecticRK v1.3.0 [b1df2697] OrdinaryDiffEqTsit5 v1.1.0 [79d7bb75] OrdinaryDiffEqVerner v1.2.0 [90014a1f] PDMats v0.11.35 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [f517fe37] Polyester v0.7.18 [1d0040c9] PolyesterWeave v0.2.2 [d236fae5] PreallocationTools v0.4.28 [aea7be01] PrecompileTools v1.3.2 [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 v3.34.1 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.8.0 [7e49a35a] RuntimeGeneratedFunctions v0.5.15 [94e857df] SIMDTypes v0.1.0 [0bca4576] SciMLBase v2.103.0 [19f34311] SciMLJacobianOperators v0.1.6 [c0aeaf25] SciMLOperators v1.3.1 [53ae85a6] SciMLStructures v1.7.0 [efcf1570] Setfield v1.1.2 [727e6d20] SimpleNonlinearSolve v2.5.0 [ce78b400] SimpleUnPack v1.1.0 [a2af1166] SortingAlgorithms v1.2.1 [0a514795] SparseMatrixColorings v0.4.21 [276daf66] SpecialFunctions v2.5.1 [aedffcd0] Static v1.2.0 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.5 [4c63d2b9] StatsFuns v1.5.0 [7792a7ef] StrideArraysCore v0.5.7 [892a3eda] StringManipulation v0.4.1 [2efcf032] SymbolicIndexingInterface v0.3.41 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [f8b46487] TestItemRunner v1.1.0 [1c621080] TestItems v1.0.0 [8290d209] ThreadingUtilities v0.5.5 [a759f4b9] TimerOutputs v0.5.29 [781d530d] TruncatedStacktraces v1.4.0 [3a884ed6] UnPack v1.0.2 [1d5cc7b8] IntelOpenMP_jll v2025.0.4+0 [856f044c] MKL_jll v2025.0.1+1 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [1317d2d5] oneTBB_jll v2022.0.0+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [9abbd945] Profile v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.11.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.1+0 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.13.1+0 [8e850ede] nghttp2_jll v1.64.0+1 [3f19e933] p7zip_jll v17.5.0+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... Precompiling packages... 90173.4 ms ✓ CellMetabolismBase 1 dependency successfully precompiled in 94 seconds. 123 already precompiled. Precompiling packages... 4945.3 ms ✓ Distributions → DistributionsTestExt 1 dependency successfully precompiled in 7 seconds. 50 already precompiled. Precompiling packages... 3210.5 ms ✓ BenchmarkTools 1 dependency successfully precompiled in 3 seconds. 16 already precompiled. Precompiling packages... 13107.2 ms ✓ SparseMatrixColorings 4851.7 ms ✓ ExponentialUtilities → ExponentialUtilitiesStaticArraysExt 3962.7 ms ✓ FastPower → FastPowerForwardDiffExt 2181.0 ms ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 10404.9 ms ✓ SciMLJacobianOperators 21343.4 ms ✓ LinearSolve 3718.1 ms ✓ RecursiveArrayTools → RecursiveArrayToolsFastBroadcastExt 1899.1 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseMatrixColoringsExt 5130.6 ms ✓ NLSolversBase 13597.5 ms ✓ LineSearch 19143.6 ms ✓ NonlinearSolveBase 10143.6 ms ✓ LinearSolve → LinearSolveForwardDiffExt 6637.3 ms ✓ LinearSolve → LinearSolveEnzymeExt 11394.7 ms ✓ LinearSolve → LinearSolveSparseArraysExt 9122.1 ms ✓ DiffEqBase 7677.0 ms ✓ LineSearches 5002.1 ms ✓ NonlinearSolveBase → NonlinearSolveBaseSparseMatrixColoringsExt 7837.7 ms ✓ NonlinearSolveBase → NonlinearSolveBaseForwardDiffExt 4924.4 ms ✓ NonlinearSolveBase → NonlinearSolveBaseSparseArraysExt 4242.3 ms ✓ NonlinearSolveBase → NonlinearSolveBaseLineSearchExt 6436.1 ms ✓ NonlinearSolveBase → NonlinearSolveBaseLinearSolveExt 10651.3 ms ✓ BracketingNonlinearSolve 5358.4 ms ✓ DiffEqBase → DiffEqBaseChainRulesCoreExt 8380.5 ms ✓ DiffEqBase → DiffEqBaseForwardDiffExt 5263.2 ms ✓ DiffEqBase → DiffEqBaseSparseArraysExt 12057.4 ms ✓ OrdinaryDiffEqCore 4844.2 ms ✓ NonlinearSolveBase → NonlinearSolveBaseDiffEqBaseExt 5009.8 ms ✓ LineSearch → LineSearchLineSearchesExt 5031.8 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveForwardDiffExt 5079.7 ms ✓ OrdinaryDiffEqCore → OrdinaryDiffEqCoreEnzymeCoreExt 19058.9 ms ✓ NonlinearSolveSpectralMethods 31689.2 ms ✓ NonlinearSolveQuasiNewton 52853.5 ms ✓ NonlinearSolveFirstOrder 5014.9 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveChainRulesCoreExt 26110.3 ms ✓ SimpleNonlinearSolve 8180.4 ms ✓ OrdinaryDiffEqExplicitRK 9265.9 ms ✓ OrdinaryDiffEqHighOrderRK 9366.8 ms ✓ OrdinaryDiffEqStabilizedRK 8538.2 ms ✓ OrdinaryDiffEqSymplecticRK 10711.8 ms ✓ OrdinaryDiffEqSSPRK 11716.6 ms ✓ OrdinaryDiffEqLowOrderRK 6692.3 ms ✓ OrdinaryDiffEqFunctionMap 10525.9 ms ✓ OrdinaryDiffEqLinear 17872.8 ms ✓ OrdinaryDiffEqTsit5 77289.3 ms ✓ OrdinaryDiffEqVerner 8580.0 ms ✓ OrdinaryDiffEqPRK 8768.5 ms ✓ OrdinaryDiffEqRKN 9488.1 ms ✓ OrdinaryDiffEqFeagin 7436.7 ms ✓ OrdinaryDiffEqQPRK 12823.3 ms ✓ OrdinaryDiffEqLowStorageRK 18431.6 ms ✓ OrdinaryDiffEqDifferentiation 6155.7 ms ✓ NonlinearSolveSpectralMethods → NonlinearSolveSpectralMethodsForwardDiffExt 8581.9 ms ✓ NonlinearSolveQuasiNewton → NonlinearSolveQuasiNewtonForwardDiffExt 5999.3 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveDiffEqBaseExt 5622.0 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveChainRulesCoreExt 9219.2 ms ✓ OrdinaryDiffEqAdamsBashforthMoulton 7324.5 ms ✓ OrdinaryDiffEqNordsieck 18919.1 ms ✓ OrdinaryDiffEqExtrapolation 54073.1 ms ✓ OrdinaryDiffEqRosenbrock 38293.0 ms ✓ NonlinearSolve 18855.4 ms ✓ OrdinaryDiffEqNonlinearSolve 17235.2 ms ✓ OrdinaryDiffEqStabilizedIRK 20605.4 ms ✓ OrdinaryDiffEqSDIRK 65769.0 ms ✓ OrdinaryDiffEqFIRK 17772.9 ms ✓ OrdinaryDiffEqIMEXMultistep 20055.7 ms ✓ OrdinaryDiffEqPDIRK 21887.6 ms ✓ OrdinaryDiffEqExponentialRK 38122.7 ms ✓ OrdinaryDiffEqBDF 85386.8 ms ✓ OrdinaryDiffEqDefault 24883.4 ms ✓ OrdinaryDiffEq 70 dependencies successfully precompiled in 1095 seconds. 173 already precompiled. Precompiling packages... 7532.3 ms ✓ DiffEqBase → DiffEqBaseDistributionsExt 1 dependency successfully precompiled in 10 seconds. 130 already precompiled. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:SimpleEnz, (:A_ext,), (:B,), Activators, Inhibitors} where Inhibitors where Activators, Any, Any) in module ##324 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_validate_MetabolicPathway.jl:92 overwritten at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_validate_MetabolicPathway.jl:116. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:SimpleEnz, (:A_ext,), (:B,), Activators, Inhibitors} where Inhibitors where Activators, Any, Any) in module ##324 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_validate_MetabolicPathway.jl:116 overwritten at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_validate_MetabolicPathway.jl:129. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:SimpleEnz, (:A_ext,), (:B,), Activators, Inhibitors} where Inhibitors where Activators, Any, Any) in module ##324 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_validate_MetabolicPathway.jl:129 overwritten at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_validate_MetabolicPathway.jl:142. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:Enz1, (:A_media,), (:A,), Activators, Inhibitors} where Inhibitors where Activators, Any, Any) in module ##324 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_validate_MetabolicPathway.jl:16 overwritten in module ##368 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_ODEProblem.jl:14. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:Enz2, (:A,), (:B, :B), Activators, Inhibitors} where Inhibitors where Activators, Any, Any) in module ##324 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_validate_MetabolicPathway.jl:24 overwritten in module ##368 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_ODEProblem.jl:22. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:Enz3, (:B,), (:C,), Activators, Inhibitors} where Inhibitors where Activators, Any, Any) in module ##324 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_validate_MetabolicPathway.jl:28 overwritten in module ##368 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_ODEProblem.jl:26. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:Enz4, (:C, :C), (:D,), Activators, Inhibitors} where Inhibitors where Activators, Any, Any) in module ##324 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_validate_MetabolicPathway.jl:32 overwritten in module ##368 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_ODEProblem.jl:30. Manual ODE solve=7.5ms Manual ODE allocations=13708 Package ODE solve=7.3ms Package ODE allocations=13708 WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:Enz1, (:A_media,), (:A,), Activators, Inhibitors} where Inhibitors where Activators, Any, Any) in module ##368 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_ODEProblem.jl:14 overwritten in module ##405 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:16. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:Enz2, (:A,), (:B, :B), Activators, Inhibitors} where Inhibitors where Activators, Any, Any) in module ##368 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_ODEProblem.jl:22 overwritten in module ##405 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:25. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:Enz3, (:B,), (:C,), Activators, Inhibitors} where Inhibitors where Activators, Any, Any) in module ##368 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_ODEProblem.jl:26 overwritten in module ##405 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:30. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:Enz4, (:C, :C), (:D,), Activators, Inhibitors} where Inhibitors where Activators, Any, Any) in module ##368 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_ODEProblem.jl:30 overwritten in module ##405 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/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 = top-level scope at tests_make_EnsembleProblem.jl:516 └ @ Core ~/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:516 ┌ 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 = top-level scope at tests_make_EnsembleProblem.jl:516 └ @ Core ~/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:516 ┌ 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 = top-level scope at tests_make_EnsembleProblem.jl:516 └ @ Core ~/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:516 ┌ 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 = top-level scope at tests_make_EnsembleProblem.jl:516 └ @ Core ~/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:516 ┌ 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 = top-level scope at tests_make_EnsembleProblem.jl:516 └ @ Core ~/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:516 ┌ 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 = top-level scope at tests_make_EnsembleProblem.jl:516 └ @ Core ~/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:516 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = (::Main.var"##405".var"#2#3")(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"#make_ODEProblem##0#make_ODEProblem##1"{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"#make_ODEProblem##0#make_ODEProblem##1"{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"#make_ODEProblem##0#make_ODEProblem##1"{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"#make_ODEProblem##0#make_ODEProblem##1"{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{Tuple{SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Tuple{}}, 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{Tuple{SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Tuple{}}, 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{Tuple{SciMLBase.TimeGradientWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Float64, Tuple{}}, 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{Tuple{SciMLBase.TimeGradientWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Float64, Tuple{}}, 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:? └ @ Core ./none:-1 ┌ 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"##405".var"#2#3")(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"#make_ODEProblem##0#make_ODEProblem##1"{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"#make_ODEProblem##0#make_ODEProblem##1"{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"#make_ODEProblem##0#make_ODEProblem##1"{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"#make_ODEProblem##0#make_ODEProblem##1"{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{Tuple{SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Tuple{}}, 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{Tuple{SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Tuple{}}, 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{Tuple{SciMLBase.TimeGradientWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Float64, Tuple{}}, 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{Tuple{SciMLBase.TimeGradientWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Float64, Tuple{}}, 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:? └ @ Core ./none:-1 ┌ 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"##405".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"#make_ODEProblem##0#make_ODEProblem##1"{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"#make_ODEProblem##0#make_ODEProblem##1"{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"#make_ODEProblem##0#make_ODEProblem##1"{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"#make_ODEProblem##0#make_ODEProblem##1"{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{Tuple{SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Tuple{}}, 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{Tuple{SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Tuple{}}, 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{Tuple{SciMLBase.TimeGradientWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Float64, Tuple{}}, 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{Tuple{SciMLBase.TimeGradientWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Float64, Tuple{}}, 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:? └ @ Core ./none:-1 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = (::Main.var"##405".var"#8#9")(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"#make_ODEProblem##0#make_ODEProblem##1"{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"#make_ODEProblem##0#make_ODEProblem##1"{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"#make_ODEProblem##0#make_ODEProblem##1"{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"#make_ODEProblem##0#make_ODEProblem##1"{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{Tuple{SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Tuple{}}, 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{Tuple{SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Tuple{}}, 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{Tuple{SciMLBase.TimeGradientWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Float64, Tuple{}}, 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{Tuple{SciMLBase.TimeGradientWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Float64, Tuple{}}, 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:? └ @ Core ./none:-1 ┌ 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"##405".var"#8#9")(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"#make_ODEProblem##0#make_ODEProblem##1"{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"#make_ODEProblem##0#make_ODEProblem##1"{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"#make_ODEProblem##0#make_ODEProblem##1"{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"#make_ODEProblem##0#make_ODEProblem##1"{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{Tuple{SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Tuple{}}, 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{Tuple{SciMLBase.UJacobianWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, Tuple{}}, 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{Tuple{SciMLBase.TimeGradientWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Float64, Tuple{}}, 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{Tuple{SciMLBase.TimeGradientWrapper{true, SciMLBase.ODEFunction{true, SciMLBase.AutoSpecialize, CellMetabolismBase.var"#make_ODEProblem##0#make_ODEProblem##1"{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)}}, LabelledArrays.LArray{Float64, 1, Vector{Float64}, (:A_media, :A, :B, :C, :D)}, ADTypes.AutoForwardDiff{nothing, ForwardDiff.Tag{DiffEqBase.OrdinaryDiffEqTag, Float64}}, Float64, Tuple{}}, 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:? └ @ Core ./none:-1 Precompiling packages... Info Given JET was explicitly requested, output will be shown live  WARNING: Imported binding Compiler.istopfunction was undeclared at import time during import to JET. ERROR: LoadError: UndefVarError: `LineInfoNode` not defined in `JET` Suggestion: check for spelling errors or missing imports. Stacktrace:  [1] top-level scope  @ ~/.julia/packages/JET/yNWjn/src/JETBase.jl:202  [2] include(mapexpr::Function, mod::Module, _path::String)  @ Base ./Base.jl:306  [3] top-level scope  @ ~/.julia/packages/JET/yNWjn/src/JET.jl:36  [4] include(mod::Module, _path::String)  @ Base ./Base.jl:305  [5] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:2991  [6] top-level scope  @ stdin:5  [7] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [8] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:2837  [9] include_string  @ ./loading.jl:2847 [inlined]  [10] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:319  [11] _start()  @ Base ./client.jl:554 in expression starting at /home/pkgeval/.julia/packages/JET/yNWjn/src/JETBase.jl:202 in expression starting at /home/pkgeval/.julia/packages/JET/yNWjn/src/JET.jl:1 in expression starting at stdin:5 ✗ JET 0 dependencies successfully precompiled in 10 seconds. 35 already precompiled. ERROR: LoadError: The following 1 direct dependency failed to precompile: JET Failed to precompile JET [c3a54625-cd67-489e-a8e7-0a5a0ff4e31b] to "/home/pkgeval/.julia/compiled/v1.12/JET/jl_U84G0O". WARNING: Imported binding Compiler.istopfunction was undeclared at import time during import to JET. ERROR: LoadError: UndefVarError: `LineInfoNode` not defined in `JET` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] top-level scope @ ~/.julia/packages/JET/yNWjn/src/JETBase.jl:202 [2] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [3] top-level scope @ ~/.julia/packages/JET/yNWjn/src/JET.jl:36 [4] include(mod::Module, _path::String) @ Base ./Base.jl:305 [5] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing) @ Base ./loading.jl:2991 [6] top-level scope @ stdin:5 [7] eval(m::Module, e::Any) @ Core ./boot.jl:489 [8] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2837 [9] include_string @ ./loading.jl:2847 [inlined] [10] exec_options(opts::Base.JLOptions) @ Base ./client.jl:319 [11] _start() @ Base ./client.jl:554 in expression starting at /home/pkgeval/.julia/packages/JET/yNWjn/src/JETBase.jl:202 in expression starting at /home/pkgeval/.julia/packages/JET/yNWjn/src/JET.jl:1 in expression starting at stdin: in expression starting at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_Aqua_and_JET.jl:6 in expression starting at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/runtests.jl:9 Testing failed after 1587.08s ERROR: LoadError: Package CellMetabolismBase errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2458 [3] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2313 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:511 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:164 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:152 [7] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:152 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:151 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [10] include(mod::Module, _path::String) @ Base ./Base.jl:305 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:321 [12] _start() @ Base ./client.jl:554 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 1750.52s: package fails to precompile