Package evaluation of CellMetabolismBase on Julia 1.13.0-DEV.966 (46c2a5c7e1*) started at 2025-08-07T20:09:16.717 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.95s ################################################################################ # Installation # Installing CellMetabolismBase... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [29f58b35] + CellMetabolismBase v0.2.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.16.0 [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 v4.18.0 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.0 [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 v1.7.1 [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 v0.4.29 [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 v3.36.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [7e49a35a] + RuntimeGeneratedFunctions v0.5.15 [0bca4576] + SciMLBase v2.108.0 [c0aeaf25] + SciMLOperators v1.4.0 [53ae85a6] + SciMLStructures v1.7.0 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.5.1 [90137ffa] + StaticArrays v1.9.14 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.6 [4c63d2b9] + StatsFuns v1.5.0 [892a3eda] + StringManipulation v0.4.1 [2efcf032] + SymbolicIndexingInterface v0.3.42 [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 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [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 v1.13.0 [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 v7.10.1+0 [8e850b90] + libblastrampoline_jll v5.13.1+0 Installation completed after 4.71s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:76 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/v1.13/JET/jl_Pm5QO8" (ProcessExited(1)). 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:312 [3] top-level scope @ ~/.julia/packages/JET/yNWjn/src/JET.jl:36 [4] include(mod::Module, _path::String) @ Base ./Base.jl:311 [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:3001 [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:2847 [9] include_string @ ./loading.jl:2857 [inlined] [10] exec_options(opts::Base.JLOptions) @ Base ./client.jl:318 [11] _start() @ Base ./client.jl:553 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 72.21s ################################################################################ # Testing # Testing CellMetabolismBase Test Could not use exact versions of packages in manifest, re-resolving. Note: if you do not check your manifest file into source control, then you can probably ignore this message. However, if you do check your manifest file into source control, then you probably want to pass the `allow_reresolve = false` kwarg when calling the `Pkg.test` function. Updating `/tmp/jl_j1us7m/Project.toml` [4c88cf16] + Aqua v0.8.14 [6e4b80f9] + BenchmarkTools v1.6.0 [29f58b35] + CellMetabolismBase v0.2.0 ⌅ [c3a54625] + JET v0.9.19 [1dea7af3] + OrdinaryDiffEq v6.101.0 [f8b46487] + TestItemRunner v1.1.0 [8dfed614] ~ Test ⇒ v1.11.0 Updating `/tmp/jl_j1us7m/Manifest.toml` [4c88cf16] + Aqua v0.8.14 [4c555306] + ArrayLayouts v1.11.2 [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 [fb6a15b2] + CloseOpenIntervals v0.1.13 ⌅ [da1fd8a2] + CodeTracking v1.3.9 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [2569d6c7] + ConcreteStructs v0.2.3 [adafc99b] + CpuId v0.3.1 ⌅ [864edb3b] ↓ DataStructures v0.19.0 ⇒ v0.18.22 [2b5f629d] + DiffEqBase v6.182.0 [a0c0ee7d] + DifferentiationInterface v0.7.4 [f151be2c] + EnzymeCore v0.8.12 [d4d017d3] + ExponentialUtilities v1.27.0 [7034ab61] + FastBroadcast v0.3.5 [9aa1b823] + FastClosures v0.3.2 [442a2c76] + FastGaussQuadrature v1.0.2 [a4df4552] + FastPower v1.1.3 [6a86dc24] + FiniteDiff v2.27.0 [c145ed77] + GenericSchur v0.5.5 [615f187c] + IfElse v0.1.1 ⌅ [c3a54625] + JET v0.9.19 [682c06a0] + JSON v0.21.4 ⌅ [aa1ae85d] + JuliaInterpreter v0.9.46 ⌅ [70703baa] + JuliaSyntax v0.4.10 [ba0b0d4f] + Krylov v0.10.1 [10f19ff3] + LayoutPointers v0.1.17 [5078a376] + LazyArrays v2.6.2 [87fe0de2] + LineSearch v0.1.4 [d3d80556] + LineSearches v7.4.0 [7ed4a6bd] + LinearSolve v3.25.1 ⌃ [6f1432cf] + LoweredCodeUtils v3.2.2 [d125e4d3] + ManualMemory v0.1.8 [bb5d69b7] + MaybeInplace v0.1.4 [46d2c3a1] + MuladdMacro v0.2.4 [d41bc354] + NLSolversBase v7.10.0 [8913a72c] + NonlinearSolve v4.10.0 [be0214bd] + NonlinearSolveBase v1.14.0 [5959db7a] + NonlinearSolveFirstOrder v1.7.0 [9a2c21bd] + NonlinearSolveQuasiNewton v1.8.0 [26075421] + NonlinearSolveSpectralMethods v1.3.0 [1dea7af3] + OrdinaryDiffEq v6.101.0 [89bda076] + OrdinaryDiffEqAdamsBashforthMoulton v1.2.0 [6ad6398a] + OrdinaryDiffEqBDF v1.7.0 [bbf590c4] + OrdinaryDiffEqCore v1.26.2 [50262376] + OrdinaryDiffEqDefault v1.5.0 [4302a76b] + OrdinaryDiffEqDifferentiation v1.10.1 [9286f039] + OrdinaryDiffEqExplicitRK v1.1.0 [e0540318] + OrdinaryDiffEqExponentialRK v1.5.0 [becaefa8] + OrdinaryDiffEqExtrapolation v1.5.0 [5960d6e9] + OrdinaryDiffEqFIRK v1.13.0 [101fe9f7] + OrdinaryDiffEqFeagin v1.1.0 [d3585ca7] + OrdinaryDiffEqFunctionMap v1.2.0 [d28bc4f8] + OrdinaryDiffEqHighOrderRK v1.2.0 [9f002381] + OrdinaryDiffEqIMEXMultistep v1.4.0 [521117fe] + OrdinaryDiffEqLinear v1.3.0 [1344f307] + OrdinaryDiffEqLowOrderRK v1.3.0 [b0944070] + OrdinaryDiffEqLowStorageRK v1.3.0 [127b3ac7] + OrdinaryDiffEqNonlinearSolve v1.11.0 [c9986a66] + OrdinaryDiffEqNordsieck v1.1.0 [5dd0a6cf] + OrdinaryDiffEqPDIRK v1.3.1 [5b33eab2] + OrdinaryDiffEqPRK v1.1.0 [04162be5] + OrdinaryDiffEqQPRK v1.1.0 [af6ede74] + OrdinaryDiffEqRKN v1.2.0 [43230ef6] + OrdinaryDiffEqRosenbrock v1.12.0 [2d112036] + OrdinaryDiffEqSDIRK v1.4.0 [669c94d9] + OrdinaryDiffEqSSPRK v1.3.0 [e3e12d00] + OrdinaryDiffEqStabilizedIRK v1.3.0 [358294b1] + OrdinaryDiffEqStabilizedRK v1.2.0 [fa646aed] + OrdinaryDiffEqSymplecticRK v1.4.0 [b1df2697] + OrdinaryDiffEqTsit5 v1.2.0 [79d7bb75] + OrdinaryDiffEqVerner v1.3.0 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.3 [f517fe37] + Polyester v0.7.18 [1d0040c9] + PolyesterWeave v0.2.2 [94e857df] + SIMDTypes v0.1.0 [19f34311] + SciMLJacobianOperators v0.1.8 [efcf1570] + Setfield v1.1.2 [727e6d20] + SimpleNonlinearSolve v2.7.0 [ce78b400] + SimpleUnPack v1.1.0 [0a514795] + SparseMatrixColorings v0.4.21 [aedffcd0] + Static v1.2.0 [0d7ed370] + StaticArrayInterface v1.8.0 [7792a7ef] + StrideArraysCore v0.5.7 [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 v2025.2.0+0 [856f044c] + MKL_jll v2025.2.0+0 [1317d2d5] + oneTBB_jll v2022.0.0+0 [0dad84c5] + ArgTools v1.1.2 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [9abbd945] + Profile v1.11.0 [a4e569a6] + Tar v1.10.0 [8dfed614] ~ Test ⇒ v1.11.0 [deac9b47] + LibCURL_jll v8.15.0+1 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.7.15 [458c3c95] + OpenSSL_jll v3.5.1+0 [efcefdf7] + PCRE2_jll v10.45.0+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850ede] + nghttp2_jll v1.65.0+0 [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. To see why use `status --outdated -m` Test Successfully re-resolved Status `/tmp/jl_j1us7m/Project.toml` [4c88cf16] Aqua v0.8.14 [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 v6.101.0 [0bca4576] SciMLBase v2.108.0 [f8b46487] TestItemRunner v1.1.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_j1us7m/Manifest.toml` [47edcb42] ADTypes v1.16.0 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.14 [4fba245c] ArrayInterface v7.19.0 [4c555306] ArrayLayouts v1.11.2 [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 v4.18.0 [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 v6.182.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.4 [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 v1.7.1 [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 v2.6.2 [87fe0de2] LineSearch v0.1.4 [d3d80556] LineSearches v7.4.0 [7ed4a6bd] LinearSolve v3.25.1 [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 v4.10.0 [be0214bd] NonlinearSolveBase v1.14.0 [5959db7a] NonlinearSolveFirstOrder v1.7.0 [9a2c21bd] NonlinearSolveQuasiNewton v1.8.0 [26075421] NonlinearSolveSpectralMethods v1.3.0 [bac558e1] OrderedCollections v1.8.1 [1dea7af3] OrdinaryDiffEq v6.101.0 [89bda076] OrdinaryDiffEqAdamsBashforthMoulton v1.2.0 [6ad6398a] OrdinaryDiffEqBDF v1.7.0 [bbf590c4] OrdinaryDiffEqCore v1.26.2 [50262376] OrdinaryDiffEqDefault v1.5.0 [4302a76b] OrdinaryDiffEqDifferentiation v1.10.1 [9286f039] OrdinaryDiffEqExplicitRK v1.1.0 [e0540318] OrdinaryDiffEqExponentialRK v1.5.0 [becaefa8] OrdinaryDiffEqExtrapolation v1.5.0 [5960d6e9] OrdinaryDiffEqFIRK v1.13.0 [101fe9f7] OrdinaryDiffEqFeagin v1.1.0 [d3585ca7] OrdinaryDiffEqFunctionMap v1.2.0 [d28bc4f8] OrdinaryDiffEqHighOrderRK v1.2.0 [9f002381] OrdinaryDiffEqIMEXMultistep v1.4.0 [521117fe] OrdinaryDiffEqLinear v1.3.0 [1344f307] OrdinaryDiffEqLowOrderRK v1.3.0 [b0944070] OrdinaryDiffEqLowStorageRK v1.3.0 [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.11.0 [c9986a66] OrdinaryDiffEqNordsieck v1.1.0 [5dd0a6cf] OrdinaryDiffEqPDIRK v1.3.1 [5b33eab2] OrdinaryDiffEqPRK v1.1.0 [04162be5] OrdinaryDiffEqQPRK v1.1.0 [af6ede74] OrdinaryDiffEqRKN v1.2.0 [43230ef6] OrdinaryDiffEqRosenbrock v1.12.0 [2d112036] OrdinaryDiffEqSDIRK v1.4.0 [669c94d9] OrdinaryDiffEqSSPRK v1.3.0 [e3e12d00] OrdinaryDiffEqStabilizedIRK v1.3.0 [358294b1] OrdinaryDiffEqStabilizedRK v1.2.0 [fa646aed] OrdinaryDiffEqSymplecticRK v1.4.0 [b1df2697] OrdinaryDiffEqTsit5 v1.2.0 [79d7bb75] OrdinaryDiffEqVerner v1.3.0 [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 v0.4.29 [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 v3.36.0 [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 v2.108.0 [19f34311] SciMLJacobianOperators v0.1.8 [c0aeaf25] SciMLOperators v1.4.0 [53ae85a6] SciMLStructures v1.7.0 [efcf1570] Setfield v1.1.2 [727e6d20] SimpleNonlinearSolve v2.7.0 [ce78b400] SimpleUnPack v1.1.0 [a2af1166] SortingAlgorithms v1.2.2 [0a514795] SparseMatrixColorings v0.4.21 [276daf66] SpecialFunctions v2.5.1 [aedffcd0] Static v1.2.0 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.14 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.6 [4c63d2b9] StatsFuns v1.5.0 [7792a7ef] StrideArraysCore v0.5.7 [892a3eda] StringManipulation v0.4.1 [2efcf032] SymbolicIndexingInterface v0.3.42 [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 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SparseArrays v1.13.0 [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 v8.15.0+1 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.7.15 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.1+0 [efcefdf7] PCRE2_jll v10.45.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.13.1+0 [8e850ede] nghttp2_jll v1.65.0+0 [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... 17987.9 ms ✓ CellMetabolismBase 1 dependency successfully precompiled in 21 seconds. 122 already precompiled. Precompiling packages... 4757.8 ms ✓ Distributions → DistributionsTestExt 1 dependency successfully precompiled in 6 seconds. 49 already precompiled. Precompiling packages... 3299.6 ms ✓ BenchmarkTools 1 dependency successfully precompiled in 3 seconds. 16 already precompiled. Precompiling packages... 1938.9 ms ✓ TruncatedStacktraces 7172.1 ms ✓ LazyArrays 5284.5 ms ✓ FastGaussQuadrature 9940.4 ms ✓ SciMLJacobianOperators 3725.3 ms ✓ FastPower → FastPowerForwardDiffExt 3635.9 ms ✓ RecursiveArrayTools → RecursiveArrayToolsFastBroadcastExt 3731.1 ms ✓ LazyArrays → LazyArraysStaticArraysExt 12637.7 ms ✓ LineSearch 18938.9 ms ✓ NonlinearSolveBase 9587.1 ms ✓ DiffEqBase 22077.8 ms ✓ LinearSolve 4938.9 ms ✓ LineSearch → LineSearchLineSearchesExt 5062.0 ms ✓ NonlinearSolveBase → NonlinearSolveBaseSparseMatrixColoringsExt 5153.0 ms ✓ NonlinearSolveBase → NonlinearSolveBaseSparseArraysExt 10000.7 ms ✓ BracketingNonlinearSolve 4680.1 ms ✓ NonlinearSolveBase → NonlinearSolveBaseLineSearchExt 7683.0 ms ✓ NonlinearSolveBase → NonlinearSolveBaseForwardDiffExt 5236.9 ms ✓ DiffEqBase → DiffEqBaseChainRulesCoreExt 8336.2 ms ✓ DiffEqBase → DiffEqBaseForwardDiffExt 5473.9 ms ✓ DiffEqBase → DiffEqBaseSparseArraysExt 12486.7 ms ✓ OrdinaryDiffEqCore 5205.8 ms ✓ NonlinearSolveBase → NonlinearSolveBaseDiffEqBaseExt 11772.7 ms ✓ LinearSolve → LinearSolveSparseArraysExt 5544.4 ms ✓ LinearSolve → LinearSolveEnzymeExt 10560.0 ms ✓ LinearSolve → LinearSolveForwardDiffExt 7754.4 ms ✓ NonlinearSolveBase → NonlinearSolveBaseLinearSolveExt 5951.9 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveForwardDiffExt 4979.0 ms ✓ OrdinaryDiffEqCore → OrdinaryDiffEqCoreEnzymeCoreExt 18612.1 ms ✓ NonlinearSolveSpectralMethods 28910.7 ms ✓ NonlinearSolveQuasiNewton 49506.9 ms ✓ NonlinearSolveFirstOrder 5116.4 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveChainRulesCoreExt 22351.9 ms ✓ SimpleNonlinearSolve 8057.0 ms ✓ OrdinaryDiffEqExplicitRK 11592.1 ms ✓ OrdinaryDiffEqLowOrderRK 63253.9 ms ✓ OrdinaryDiffEqVerner 12827.7 ms ✓ OrdinaryDiffEqTsit5 8874.3 ms ✓ OrdinaryDiffEqRKN 7971.4 ms ✓ OrdinaryDiffEqPRK 7768.6 ms ✓ OrdinaryDiffEqQPRK 9227.0 ms ✓ OrdinaryDiffEqStabilizedRK 8393.9 ms ✓ OrdinaryDiffEqHighOrderRK 8266.2 ms ✓ OrdinaryDiffEqFeagin 8458.1 ms ✓ OrdinaryDiffEqSymplecticRK 10653.3 ms ✓ OrdinaryDiffEqLowStorageRK 10079.1 ms ✓ OrdinaryDiffEqLinear 6989.8 ms ✓ OrdinaryDiffEqFunctionMap 10340.7 ms ✓ OrdinaryDiffEqSSPRK 17237.1 ms ✓ OrdinaryDiffEqDifferentiation 5959.3 ms ✓ NonlinearSolveSpectralMethods → NonlinearSolveSpectralMethodsForwardDiffExt 9980.6 ms ✓ NonlinearSolveQuasiNewton → NonlinearSolveQuasiNewtonForwardDiffExt 5142.5 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveChainRulesCoreExt 5951.6 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveDiffEqBaseExt 9361.1 ms ✓ OrdinaryDiffEqAdamsBashforthMoulton 8532.1 ms ✓ OrdinaryDiffEqNordsieck 18441.7 ms ✓ OrdinaryDiffEqExponentialRK 14218.2 ms ✓ OrdinaryDiffEqExtrapolation 39922.4 ms ✓ OrdinaryDiffEqRosenbrock 30346.5 ms ✓ NonlinearSolve 12783.2 ms ✓ OrdinaryDiffEqNonlinearSolve 18318.4 ms ✓ OrdinaryDiffEqSDIRK 16543.3 ms ✓ OrdinaryDiffEqStabilizedIRK 15841.0 ms ✓ OrdinaryDiffEqIMEXMultistep 18800.5 ms ✓ OrdinaryDiffEqPDIRK 56989.9 ms ✓ OrdinaryDiffEqFIRK 36571.2 ms ✓ OrdinaryDiffEqBDF 76932.6 ms ✓ OrdinaryDiffEqDefault 23769.1 ms ✓ OrdinaryDiffEq 68 dependencies successfully precompiled in 981 seconds. 176 already precompiled. 1 dependency had output during precompilation: ┌ OrdinaryDiffEqRosenbrock │ ┌ Warning: Replacing docs for `OrdinaryDiffEqRosenbrock.Rosenbrock23 :: Union{}` in module `OrdinaryDiffEqRosenbrock` │ └ @ Base.Docs docs/Docs.jl:253 │ ┌ Warning: Replacing docs for `OrdinaryDiffEqRosenbrock.Rodas5P :: Union{}` in module `OrdinaryDiffEqRosenbrock` │ └ @ Base.Docs docs/Docs.jl:253 └ Precompiling packages... 7495.6 ms ✓ DiffEqBase → DiffEqBaseDistributionsExt 1 dependency successfully precompiled in 10 seconds. 129 already precompiled. Manual ODE solve=7.2ms Manual ODE allocations=13708 Package ODE solve=7.1ms 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 ##285 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_ODEProblem.jl:14 overwritten in module ##343 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 ##285 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_ODEProblem.jl:22 overwritten in module ##343 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 ##285 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_ODEProblem.jl:26 overwritten in module ##343 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 ##285 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_ODEProblem.jl:30 overwritten in module ##343 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:533 └ @ Core ~/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:533 ┌ 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:533 └ @ Core ~/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:533 ┌ 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:533 └ @ Core ~/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:533 ┌ 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:533 └ @ Core ~/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:533 ┌ 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:533 └ @ Core ~/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:533 ┌ 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:533 └ @ Core ~/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:533 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = (::Main.var"##343".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{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{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, 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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}, 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: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{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, 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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, 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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"##343".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{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{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"##343".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{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{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"##343".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{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{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: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:Enz1, (:A_media,), (:A,), Activators, Inhibitors} where Inhibitors where Activators, Any, Any) in module ##343 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:16 overwritten in module ##344 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_validate_MetabolicPathway.jl:16. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:Enz2, (:A,), (:B, :B), Activators, Inhibitors} where Inhibitors where Activators, Any, Any) in module ##343 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:25 overwritten in module ##344 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_validate_MetabolicPathway.jl:24. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:Enz3, (:B,), (:C,), Activators, Inhibitors} where Inhibitors where Activators, Any, Any) in module ##343 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:30 overwritten in module ##344 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_validate_MetabolicPathway.jl:28. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:Enz4, (:C, :C), (:D,), Activators, Inhibitors} where Inhibitors where Activators, Any, Any) in module ##343 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_make_EnsembleProblem.jl:35 overwritten in module ##344 at /home/pkgeval/.julia/packages/CellMetabolismBase/O3NOG/test/tests_validate_MetabolicPathway.jl:32. WARNING: Method definition enzyme_rate(CellMetabolismBase.Enzyme{:SimpleEnz, (:A_ext,), (:B,), Activators, Inhibitors} where Inhibitors where Activators, Any, Any) in module ##344 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 ##344 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 ##344 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. Persistent tasks: Test Failed at /home/pkgeval/.julia/packages/Aqua/MCcFg/src/persistent_tasks.jl:38 Expression: !(has_persistent_tasks(package; kwargs...)) Evaluated: !(has_persistent_tasks(Base.PkgId(Base.UUID("29f58b35-15e1-4d3c-99d7-eccaac145095"), "CellMetabolismBase"))) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:745 [inlined] [2] test_persistent_tasks(package::Base.PkgId; broken::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/MCcFg/src/persistent_tasks.jl:38 [3] test_persistent_tasks @ ~/.julia/packages/Aqua/MCcFg/src/persistent_tasks.jl:34 [inlined] [4] #test_persistent_tasks#57 @ ~/.julia/packages/Aqua/MCcFg/src/persistent_tasks.jl:43 [inlined] [5] test_persistent_tasks @ ~/.julia/packages/Aqua/MCcFg/src/persistent_tasks.jl:42 [inlined] [6] macro expansion @ ~/.julia/packages/Aqua/MCcFg/src/Aqua.jl:109 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [8] test_all(testtarget::Module; ambiguities::Bool, unbound_args::Bool, undefined_exports::Bool, project_extras::Bool, stale_deps::Bool, deps_compat::Bool, piracies::Bool, persistent_tasks::Bool, undocumented_names::Bool) @ Aqua ~/.julia/packages/Aqua/MCcFg/src/Aqua.jl:109 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:312  [3] top-level scope  @ ~/.julia/packages/JET/yNWjn/src/JET.jl:36  [4] include(mod::Module, _path::String)  @ Base ./Base.jl:311  [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:3001  [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:2847  [9] include_string  @ ./loading.jl:2857 [inlined]  [10] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:318  [11] _start()  @ Base ./client.jl:553 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. 37 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/v1.13/JET/jl_KJnc5m" (ProcessExited(1)). 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:312 [3] top-level scope @ ~/.julia/packages/JET/yNWjn/src/JET.jl:36 [4] include(mod::Module, _path::String) @ Base ./Base.jl:311 [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:3001 [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:2847 [9] include_string @ ./loading.jl:2857 [inlined] [10] exec_options(opts::Base.JLOptions) @ Base ./client.jl:318 [11] _start() @ Base ./client.jl:553 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 1470.89s ERROR: LoadError: Package CellMetabolismBase errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.13/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/v1.13/Pkg/src/Operations.jl:2695 [3] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2544 [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/v1.13/Pkg/src/API.jl:538 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:515 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:168 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:157 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:156 [9] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:156 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:155 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [12] include(mod::Module, _path::String) @ Base ./Base.jl:311 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:320 [14] _start() @ Base ./client.jl:553 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 1605.12s: package fails to precompile