Package evaluation of OptimizationOptimJL on Julia 1.12.0-rc1.2 (995ff9db19*) started at 2025-07-14T22:16:35.282 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... ┌ Warning: could not download https://pkg.julialang.org/registries │ exception = RequestError: Could not resolve host: pkg.julialang.org while requesting https://pkg.julialang.org/registries └ @ Pkg.Registry /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Registry/Registry.jl:77 Set-up completed after 9.11s ################################################################################ # Installation # Installing OptimizationOptimJL... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [36348300] + OptimizationOptimJL v0.4.3 Updating `~/.julia/environments/v1.12/Manifest.toml` [47edcb42] + ADTypes v1.15.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.19.0 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.17.0 [a33af91c] + CompositionsBase v0.1.2 [88cd18e8] + ConsoleProgressMonitor 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 [a0c0ee7d] + DifferentiationInterface v0.7.2 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.5 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [9aa1b823] + FastClosures v0.3.2 [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 [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 [5be7bae1] + LBFGSB v0.4.1 [b964fa9f] + LaTeXStrings v1.4.0 [1d6d02ad] + LeftChildRightSiblingTrees v0.2.0 [d3d80556] + LineSearches v7.4.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.16 [e1d29d7a] + Missings v1.2.0 [2e0e35c7] + Moshi v0.3.7 [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 [429524aa] + Optim v1.13.2 [7f7a1694] + Optimization v4.4.0 [bca83a33] + OptimizationBase v2.8.0 [36348300] + OptimizationOptimJL v0.4.3 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 [d96e819e] + Parameters v0.12.3 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [33c8b6b6] + ProgressLogging v0.1.5 [92933f4c] + ProgressMeter v1.10.4 [43287f4e] + PtrArrays v1.3.0 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.34.1 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [7e49a35a] + RuntimeGeneratedFunctions v0.5.15 [0bca4576] + SciMLBase v2.103.0 [c0aeaf25] + SciMLOperators v1.3.1 [53ae85a6] + SciMLStructures v1.7.0 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.1 [9f842d2f] + SparseConnectivityTracer v0.6.21 [0a514795] + SparseMatrixColorings v0.4.21 [276daf66] + SpecialFunctions v2.5.1 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.5 [892a3eda] + StringManipulation v0.4.1 [2efcf032] + SymbolicIndexingInterface v0.3.41 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [5d786b92] + TerminalLoggers v0.1.7 [3a884ed6] + UnPack v1.0.2 [81d17ec3] + L_BFGS_B_jll v3.0.1+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+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 [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 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [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 [a4e569a6] + Tar v1.10.0 [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 Installation completed after 5.35s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/iS95e/src/julia-1.11/activate_set.jl:75 Precompiling package dependencies... Precompilation completed after 36.58s ################################################################################ # Testing # Testing OptimizationOptimJL 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_heV6w1/Project.toml` ⌅ [f6369f11] ↓ ForwardDiff v1.0.1 ⇒ v0.10.38 [961ee093] + ModelingToolkit v10.10.0 [36348300] + OptimizationOptimJL v0.4.3 [37e2e3b7] + ReverseDiff v1.16.1 [e88e6eb3] + Zygote v0.7.10 [8dfed614] ~ Test ⇒ v1.11.0 Updating `/tmp/jl_heV6w1/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [ec485272] + ArnoldiMethod v0.4.0 [4c555306] + ArrayLayouts v1.11.1 [e2ed5e7c] + Bijections v0.2.2 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] + BlockArrays v1.7.0 [70df07ce] + BracketingNonlinearSolve v1.3.0 [2a0fbf3d] + CPUSummary v0.2.6 [082447d4] + ChainRules v1.72.5 [d360d2e6] + ChainRulesCore v1.25.2 [fb6a15b2] + CloseOpenIntervals v0.1.13 [861a8166] + Combinatorics v1.0.3 [a80b9123] + CommonMark v0.9.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [b152e2b5] + CompositeTypes v0.1.4 [2569d6c7] + ConcreteStructs v0.2.3 [adafc99b] + CpuId v0.3.1 [2b5f629d] + DiffEqBase v6.177.2 [459566f4] + DiffEqCallbacks v4.8.0 [77a26b50] + DiffEqNoiseProcess v5.24.1 [8d63f2c5] + DispatchDoctor v0.4.26 [31c24e10] + Distributions v0.25.120 [5b8099bc] + DomainSets v0.7.15 [7c1d4256] + DynamicPolynomials v0.6.2 [06fc5a27] + DynamicQuantities v1.8.0 [f151be2c] + EnzymeCore v0.8.12 [7034ab61] + FastBroadcast v0.3.5 [a4df4552] + FastPower v1.1.3 [64ca27bc] + FindFirstFunctions v1.4.1 [1fa38f19] + Format v1.3.7 ⌅ [f6369f11] ↓ ForwardDiff v1.0.1 ⇒ v0.10.38 [d9f16b24] + Functors v0.5.2 [c27321d9] + Glob v1.3.1 [86223c79] + Graphs v1.13.0 [34004b35] + HypergeometricFunctions v0.3.28 [7869d1d1] + IRTools v0.4.15 [615f187c] + IfElse v0.1.1 [3263718b] + ImplicitDiscreteSolve v0.1.2 [d25df0c9] + Inflate v0.1.5 [18e54dd8] + IntegerMathUtils v0.1.3 [8197267c] + IntervalSets v0.7.11 [98e50ef6] + JuliaFormatter v2.1.2 ⌅ [70703baa] + JuliaSyntax v0.4.10 [ccbc3e58] + JumpProcesses v9.16.1 [ba0b0d4f] + Krylov v0.10.1 [23fbe1c1] + Latexify v0.16.8 [10f19ff3] + LayoutPointers v0.1.17 [5078a376] + LazyArrays v2.6.1 [87fe0de2] + LineSearch v0.1.4 [7ed4a6bd] + LinearSolve v3.18.2 [d8e11817] + MLStyle v0.4.17 [d125e4d3] + ManualMemory v0.1.8 [bb5d69b7] + MaybeInplace v0.1.4 [961ee093] + ModelingToolkit v10.10.0 [46d2c3a1] + MuladdMacro v0.2.4 [102ac46a] + MultivariatePolynomials v0.5.9 [d8a4904e] + MutableArithmetics v1.6.4 [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 [6fe1bfb0] + OffsetArrays v1.17.0 [36348300] + OptimizationOptimJL v0.4.3 [bbf590c4] + OrdinaryDiffEqCore v1.26.2 [e409e4f3] + PoissonRandom v0.4.5 [f517fe37] + Polyester v0.7.18 [1d0040c9] + PolyesterWeave v0.2.2 [27ebfcd6] + Primes v0.5.7 [1fd47b50] + QuadGK v2.11.2 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [c1ae055f] + RealDot v0.1.0 [ae5879a3] + ResettableStacks v1.1.1 [37e2e3b7] + ReverseDiff v1.16.1 [79098fc4] + Rmath v0.8.0 [9dfe8606] + SCCNonlinearSolve v1.3.1 [94e857df] + SIMDTypes v0.1.0 [19f34311] + SciMLJacobianOperators v0.1.6 [431bcebd] + SciMLPublic v1.0.0 [727e6d20] + SimpleNonlinearSolve v2.5.0 [699a6c99] + SimpleTraits v0.9.4 [ce78b400] + SimpleUnPack v1.1.0 [dc90abb0] + SparseInverseSubset v0.1.2 [aedffcd0] + Static v1.2.0 [0d7ed370] + StaticArrayInterface v1.8.0 [90137ffa] + StaticArrays v1.9.13 [4c63d2b9] + StatsFuns v1.5.0 [7792a7ef] + StrideArraysCore v0.5.7 [09ab397b] + StructArrays v0.7.1 [19f23fe9] + SymbolicLimits v0.2.2 [d1185830] + SymbolicUtils v3.29.0 [0c5d862f] + Symbolics v6.44.0 [ed4db957] + TaskLocalValues v0.1.3 [8ea1fca8] + TermInterface v2.0.0 [1c621080] + TestItems v1.0.0 [8290d209] + ThreadingUtilities v0.5.5 [a759f4b9] + TimerOutputs v0.5.29 [410a4b4d] + Tricks v0.1.10 [781d530d] + TruncatedStacktraces v1.4.0 [5c2747f8] + URIs v1.6.1 [1986cc42] + Unitful v1.23.1 [a7c27f48] + Unityper v0.1.6 [897b6980] + WeakValueDicts v0.1.0 [e88e6eb3] + Zygote v0.7.10 [700de1a5] + ZygoteRules v0.2.7 [1d5cc7b8] + IntelOpenMP_jll v2025.0.4+0 [856f044c] + MKL_jll v2025.0.1+1 [f50d1b31] + Rmath_jll v0.5.1+0 [1317d2d5] + oneTBB_jll v2022.0.0+0 [4af54fe1] + LazyArtifacts v1.11.0 [a63ad114] + Mmap v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [8dfed614] ~ Test ⇒ v1.11.0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Test Successfully re-resolved Status `/tmp/jl_heV6w1/Project.toml` ⌅ [f6369f11] ForwardDiff v0.10.38 [961ee093] ModelingToolkit v10.10.0 [429524aa] Optim v1.13.2 [7f7a1694] Optimization v4.4.0 [36348300] OptimizationOptimJL v0.4.3 [aea7be01] PrecompileTools v1.3.2 [189a3867] Reexport v1.2.2 [37e2e3b7] ReverseDiff v1.16.1 [e88e6eb3] Zygote v0.7.10 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.12.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_heV6w1/Manifest.toml` [47edcb42] ADTypes v1.15.0 [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.19.0 [4c555306] ArrayLayouts v1.11.1 [e2ed5e7c] Bijections v0.2.2 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] BlockArrays v1.7.0 [70df07ce] BracketingNonlinearSolve v1.3.0 [2a0fbf3d] CPUSummary v0.2.6 [082447d4] ChainRules v1.72.5 [d360d2e6] ChainRulesCore v1.25.2 [fb6a15b2] CloseOpenIntervals v0.1.13 [861a8166] Combinatorics v1.0.3 [a80b9123] CommonMark v0.9.1 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.17.0 [b152e2b5] CompositeTypes v0.1.4 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [88cd18e8] ConsoleProgressMonitor v0.1.2 [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 [459566f4] DiffEqCallbacks v4.8.0 [77a26b50] DiffEqNoiseProcess v5.24.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.2 [8d63f2c5] DispatchDoctor v0.4.26 [31c24e10] Distributions v0.25.120 [ffbed154] DocStringExtensions v0.9.5 [5b8099bc] DomainSets v0.7.15 [7c1d4256] DynamicPolynomials v0.6.2 [06fc5a27] DynamicQuantities v1.8.0 [4e289a0a] EnumX v1.0.5 [f151be2c] EnzymeCore v0.8.12 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [7034ab61] FastBroadcast v0.3.5 [9aa1b823] FastClosures v0.3.2 [a4df4552] FastPower v1.1.3 [1a297f60] FillArrays v1.13.0 [64ca27bc] FindFirstFunctions v1.4.1 [6a86dc24] FiniteDiff v2.27.0 [1fa38f19] Format v1.3.7 ⌅ [f6369f11] ForwardDiff v0.10.38 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [d9f16b24] Functors v0.5.2 [46192b85] GPUArraysCore v0.2.0 [c27321d9] Glob v1.3.1 [86223c79] Graphs v1.13.0 [34004b35] HypergeometricFunctions v0.3.28 [7869d1d1] IRTools v0.4.15 [615f187c] IfElse v0.1.1 [3263718b] ImplicitDiscreteSolve v0.1.2 [d25df0c9] Inflate v0.1.5 [18e54dd8] IntegerMathUtils v0.1.3 [8197267c] IntervalSets v0.7.11 [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 [98e50ef6] JuliaFormatter v2.1.2 ⌅ [70703baa] JuliaSyntax v0.4.10 [ccbc3e58] JumpProcesses v9.16.1 [ba0b0d4f] Krylov v0.10.1 [5be7bae1] LBFGSB v0.4.1 [b964fa9f] LaTeXStrings v1.4.0 [23fbe1c1] Latexify v0.16.8 [10f19ff3] LayoutPointers v0.1.17 [5078a376] LazyArrays v2.6.1 [1d6d02ad] LeftChildRightSiblingTrees v0.2.0 [87fe0de2] LineSearch v0.1.4 [d3d80556] LineSearches v7.4.0 [7ed4a6bd] LinearSolve v3.18.2 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.1.0 [d8e11817] MLStyle v0.4.17 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [bb5d69b7] MaybeInplace v0.1.4 [e1d29d7a] Missings v1.2.0 [961ee093] ModelingToolkit v10.10.0 [2e0e35c7] Moshi v0.3.7 [46d2c3a1] MuladdMacro v0.2.4 [102ac46a] MultivariatePolynomials v0.5.9 [d8a4904e] MutableArithmetics v1.6.4 [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 [6fe1bfb0] OffsetArrays v1.17.0 [429524aa] Optim v1.13.2 [7f7a1694] Optimization v4.4.0 [bca83a33] OptimizationBase v2.8.0 [36348300] OptimizationOptimJL v0.4.3 [bac558e1] OrderedCollections v1.8.1 [bbf590c4] OrdinaryDiffEqCore v1.26.2 [90014a1f] PDMats v0.11.35 [d96e819e] Parameters v0.12.3 [e409e4f3] PoissonRandom v0.4.5 [f517fe37] Polyester v0.7.18 [1d0040c9] PolyesterWeave v0.2.2 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [08abe8d2] PrettyTables v2.4.0 [27ebfcd6] Primes v0.5.7 [33c8b6b6] ProgressLogging v0.1.5 [92933f4c] ProgressMeter v1.10.4 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [74087812] Random123 v1.7.1 [e6cf234a] RandomNumbers v1.6.0 [c1ae055f] RealDot v0.1.0 [3cdcf5f2] RecipesBase v1.3.4 [731186ca] RecursiveArrayTools v3.34.1 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [ae5879a3] ResettableStacks v1.1.1 [37e2e3b7] ReverseDiff v1.16.1 [79098fc4] Rmath v0.8.0 [7e49a35a] RuntimeGeneratedFunctions v0.5.15 [9dfe8606] SCCNonlinearSolve v1.3.1 [94e857df] SIMDTypes v0.1.0 [0bca4576] SciMLBase v2.103.0 [19f34311] SciMLJacobianOperators v0.1.6 [c0aeaf25] SciMLOperators v1.3.1 [431bcebd] SciMLPublic v1.0.0 [53ae85a6] SciMLStructures v1.7.0 [efcf1570] Setfield v1.1.2 [727e6d20] SimpleNonlinearSolve v2.5.0 [699a6c99] SimpleTraits v0.9.4 [ce78b400] SimpleUnPack v1.1.0 [a2af1166] SortingAlgorithms v1.2.1 [9f842d2f] SparseConnectivityTracer v0.6.21 [dc90abb0] SparseInverseSubset v0.1.2 [0a514795] SparseMatrixColorings v0.4.21 [276daf66] SpecialFunctions v2.5.1 [aedffcd0] Static v1.2.0 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.13 [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 [09ab397b] StructArrays v0.7.1 [2efcf032] SymbolicIndexingInterface v0.3.41 [19f23fe9] SymbolicLimits v0.2.2 [d1185830] SymbolicUtils v3.29.0 [0c5d862f] Symbolics v6.44.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [ed4db957] TaskLocalValues v0.1.3 [8ea1fca8] TermInterface v2.0.0 [5d786b92] TerminalLoggers v0.1.7 [1c621080] TestItems v1.0.0 [8290d209] ThreadingUtilities v0.5.5 [a759f4b9] TimerOutputs v0.5.29 [410a4b4d] Tricks v0.1.10 [781d530d] TruncatedStacktraces v1.4.0 [5c2747f8] URIs v1.6.1 [3a884ed6] UnPack v1.0.2 [1986cc42] Unitful v1.23.1 [a7c27f48] Unityper v0.1.6 [897b6980] WeakValueDicts v0.1.0 [e88e6eb3] Zygote v0.7.10 [700de1a5] ZygoteRules v0.2.7 [1d5cc7b8] IntelOpenMP_jll v2025.0.4+0 [81d17ec3] L_BFGS_B_jll v3.0.1+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 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays 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 ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Precompiling packages... 5142.1 ms ✓ StructArrays 883.7 ms ✓ StructArrays → StructArraysAdaptExt 1374.6 ms ✓ StructArrays → StructArraysSparseArraysExt 979.1 ms ✓ StructArrays → StructArraysLinearAlgebraExt 12927.7 ms ✓ ChainRules 75607.6 ms ✓ Zygote 6 dependencies successfully precompiled in 98 seconds. 61 already precompiled. Precompiling packages... 1098.7 ms ✓ Accessors → StructArraysExt 1 dependency successfully precompiled in 1 seconds. 20 already precompiled. Precompiling packages... 3383.6 ms ✓ RecursiveArrayTools → RecursiveArrayToolsStructArraysExt 1 dependency successfully precompiled in 5 seconds. 50 already precompiled. Precompiling packages... 2246.3 ms ✓ ArrayInterface → ArrayInterfaceChainRulesExt 1 dependency successfully precompiled in 3 seconds. 40 already precompiled. Precompiling packages... 14025.4 ms ✓ RecursiveArrayTools → RecursiveArrayToolsZygoteExt 1 dependency successfully precompiled in 15 seconds. 94 already precompiled. Precompiling packages... 6136.0 ms ✓ DifferentiationInterface → DifferentiationInterfaceZygoteExt 7965.7 ms ✓ OptimizationBase → OptimizationZygoteExt 2 dependencies successfully precompiled in 19 seconds. 129 already precompiled. Precompiling packages... 15279.3 ms ✓ SciMLBase → SciMLBaseZygoteExt 1 dependency successfully precompiled in 17 seconds. 112 already precompiled. Precompiling packages... 42515.8 ms ✓ ReverseDiff 1 dependency successfully precompiled in 43 seconds. 33 already precompiled. Precompiling packages... 1677.5 ms ✓ StructArrays → StructArraysStaticArraysExt 1 dependency successfully precompiled in 2 seconds. 19 already precompiled. Precompiling packages... 10343.9 ms ✓ ArrayInterface → ArrayInterfaceReverseDiffExt 1 dependency successfully precompiled in 11 seconds. 40 already precompiled. Precompiling packages... 9836.9 ms ✓ OptimizationBase → OptimizationReverseDiffExt 10112.9 ms ✓ DifferentiationInterface → DifferentiationInterfaceReverseDiffExt 2 dependencies successfully precompiled in 22 seconds. 122 already precompiled. Precompiling packages... 20713.6 ms ✓ RecursiveArrayTools → RecursiveArrayToolsReverseDiffExt 1 dependency successfully precompiled in 22 seconds. 106 already precompiled. Precompiling packages... 3921.3 ms ✓ Accessors → UnitfulExt 1425.7 ms ✓ ResettableStacks 4938.3 ms ✓ DynamicPolynomials 10923.1 ms ✓ Distributions 3906.8 ms ✓ FastPower → FastPowerForwardDiffExt 2866.4 ms ✓ Unitful → ForwardDiffExt 5077.0 ms ✓ SciMLBase → SciMLBaseMLStyleExt 10251.4 ms ✓ SciMLJacobianOperators 4584.4 ms ✓ SCCNonlinearSolve 3000.6 ms ✓ FastBroadcast 22363.1 ms ✓ LinearSolve 50819.5 ms ✓ SymbolicUtils 4173.4 ms ✓ Distributions → DistributionsTestExt 4517.3 ms ✓ Distributions → DistributionsChainRulesCoreExt 13097.0 ms ✓ LineSearch 17408.1 ms ✓ NonlinearSolveBase 2749.1 ms ✓ RecursiveArrayTools → RecursiveArrayToolsFastBroadcastExt 8318.0 ms ✓ LinearSolve → LinearSolveForwardDiffExt 4470.5 ms ✓ LinearSolve → LinearSolveEnzymeExt 8047.3 ms ✓ LinearSolve → LinearSolveSparseArraysExt 7304.1 ms ✓ SymbolicLimits 3870.4 ms ✓ LineSearch → LineSearchLineSearchesExt 3816.8 ms ✓ NonlinearSolveBase → NonlinearSolveBaseSparseMatrixColoringsExt 5758.1 ms ✓ NonlinearSolveBase → NonlinearSolveBaseForwardDiffExt 3510.4 ms ✓ NonlinearSolveBase → NonlinearSolveBaseSparseArraysExt 3108.2 ms ✓ NonlinearSolveBase → NonlinearSolveBaseLineSearchExt 4700.8 ms ✓ NonlinearSolveBase → NonlinearSolveBaseLinearSolveExt 7712.5 ms ✓ BracketingNonlinearSolve 7880.3 ms ✓ DiffEqBase 55869.8 ms ✓ Symbolics 3701.0 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveForwardDiffExt 3938.7 ms ✓ DiffEqBase → DiffEqBaseChainRulesCoreExt 4398.0 ms ✓ DiffEqBase → DiffEqBaseUnitfulExt 5990.7 ms ✓ DiffEqBase → DiffEqBaseForwardDiffExt 5575.3 ms ✓ DiffEqBase → DiffEqBaseDistributionsExt 3772.4 ms ✓ DiffEqBase → DiffEqBaseSparseArraysExt 9932.9 ms ✓ DiffEqCallbacks 11890.3 ms ✓ OrdinaryDiffEqCore 5087.6 ms ✓ NonlinearSolveBase → NonlinearSolveBaseDiffEqBaseExt 15582.2 ms ✓ Symbolics → SymbolicsForwardDiffExt 12418.6 ms ✓ DifferentiationInterface → DifferentiationInterfaceSymbolicsExt 4789.0 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveChainRulesCoreExt 25317.3 ms ✓ SimpleNonlinearSolve 14128.1 ms ✓ DiffEqNoiseProcess 10082.9 ms ✓ JumpProcesses 5103.1 ms ✓ OrdinaryDiffEqCore → OrdinaryDiffEqCoreEnzymeCoreExt 18863.4 ms ✓ NonlinearSolveSpectralMethods 30949.8 ms ✓ NonlinearSolveQuasiNewton 54938.5 ms ✓ NonlinearSolveFirstOrder 6304.5 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveDiffEqBaseExt 5445.1 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveChainRulesCoreExt 5881.3 ms ✓ NonlinearSolveSpectralMethods → NonlinearSolveSpectralMethodsForwardDiffExt 8418.1 ms ✓ NonlinearSolveQuasiNewton → NonlinearSolveQuasiNewtonForwardDiffExt 9754.3 ms ✓ ImplicitDiscreteSolve 37590.5 ms ✓ NonlinearSolve Info Given ModelingToolkit was explicitly requested, output will be shown live  WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in var"#bareiss_update_virtual_colswap_mtk!#1377"(Any, typeof(ModelingToolkit.bareiss_update_virtual_colswap_mtk!), Any, ModelingToolkit.SparseMatrixCLIL{T, Ti} where Ti<:Integer where T, Any, Any, Any, Any) at /home/pkgeval/.julia/packages/ModelingToolkit/vyvd9/src/systems/sparsematrixclil.jl 338629.3 ms ✓ ModelingToolkit 56 dependencies successfully precompiled in 955 seconds. 252 already precompiled. 1 dependency had output during precompilation: ┌ ModelingToolkit │ [Output was shown above] └ Precompiling packages... 12119.0 ms ✓ SymbolicUtils → SymbolicUtilsReverseDiffExt 1 dependency successfully precompiled in 13 seconds. 98 already precompiled. Precompiling packages... 6866.9 ms ✓ FastPower → FastPowerReverseDiffExt 1 dependency successfully precompiled in 7 seconds. 36 already precompiled. Precompiling packages... 12878.7 ms ✓ DiffEqBase → DiffEqBaseReverseDiffExt 1 dependency successfully precompiled in 14 seconds. 129 already precompiled. Precompiling packages... 17944.1 ms ✓ DiffEqNoiseProcess → DiffEqNoiseProcessReverseDiffExt 1 dependency successfully precompiled in 21 seconds. 181 already precompiled. Precompiling packages... 18534.4 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveReverseDiffExt 1 dependency successfully precompiled in 20 seconds. 120 already precompiled. Precompiling packages... 46477.5 ms ✓ OptimizationBase → OptimizationMTKExt 1 dependency successfully precompiled in 52 seconds. 316 already precompiled. ┌ Warning: The selected optimization algorithm requires second order derivatives, but `SecondOrder` ADtype was not provided. │ So a `SecondOrder` with AutoReverseDiff() for both inner and outer will be created, this can be suboptimal and not work in some cases so │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/SX92W/src/cache.jl:49 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `SecondOrder` ADtype was not provided. │ So a `SecondOrder` with AutoReverseDiff() for both inner and outer will be created, this can be suboptimal and not work in some cases so │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/SX92W/src/cache.jl:49 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `SecondOrder` ADtype was not provided. │ So a `SecondOrder` with AutoReverseDiff() for both inner and outer will be created, this can be suboptimal and not work in some cases so │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/SX92W/src/cache.jl:49 ┌ Warning: `AutoModelingToolkit(; obj_sparse, cons_sparse)` is deprecated, use `AutoSymbolics()` or `AutoSparse(AutoSymbolics())` instead. │ caller = top-level scope at runtests.jl:33 └ @ Core ~/.julia/packages/OptimizationOptimJL/VaURt/test/runtests.jl:33 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `SecondOrder` ADtype was not provided. │ So a `SecondOrder` with AutoSymbolics() for both inner and outer will be created, this can be suboptimal and not work in some cases so │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/SX92W/src/cache.jl:49 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `SecondOrder` ADtype was not provided. │ So a `SecondOrder` with AutoForwardDiff() for both inner and outer will be created, this can be suboptimal and not work in some cases so │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/SX92W/src/cache.jl:49 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `SecondOrder` ADtype was not provided. │ So a `SecondOrder` with AutoForwardDiff() for both inner and outer will be created, this can be suboptimal and not work in some cases so │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/SX92W/src/cache.jl:49 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `SecondOrder` ADtype was not provided. │ So a `SecondOrder` with AutoForwardDiff() for both inner and outer will be created, this can be suboptimal and not work in some cases so │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/SX92W/src/cache.jl:49 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `SecondOrder` ADtype was not provided. │ So a `SecondOrder` with AutoForwardDiff() for both inner and outer will be created, this can be suboptimal and not work in some cases so │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/SX92W/src/cache.jl:49 ┌ Warning: `AutoModelingToolkit(; obj_sparse, cons_sparse)` is deprecated, use `AutoSymbolics()` or `AutoSparse(AutoSymbolics())` instead. │ caller = top-level scope at runtests.jl:33 └ @ Core ~/.julia/packages/OptimizationOptimJL/VaURt/test/runtests.jl:33 ┌ Warning: `AutoModelingToolkit(obj_sparse, cons_sparse)` is deprecated, use `AutoSymbolics()` or `AutoSparse(AutoSymbolics())` instead. │ caller = top-level scope at runtests.jl:33 └ @ Core ~/.julia/packages/OptimizationOptimJL/VaURt/test/runtests.jl:33 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `SecondOrder` ADtype was not provided. │ So a `SecondOrder` with AutoSparse(dense_ad=AutoSymbolics()) for both inner and outer will be created, this can be suboptimal and not work in some cases so │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/SX92W/src/cache.jl:49 OptimizationOptimJL.jl: Error During Test at /home/pkgeval/.julia/packages/OptimizationOptimJL/VaURt/test/runtests.jl:32 Got exception outside of a @test BoundsError: attempt to access 3-element Vector{Float64} at index [4] Stacktrace: [1] throw_boundserror(A::Vector{Float64}, I::Tuple{Int64}) @ Base ./essentials.jl:15 [2] _setindex! @ ./array.jl:990 [inlined] [3] setindex! @ ./array.jl:986 [inlined] [4] macro expansion @ ~/.julia/packages/SymbolicUtils/aooYZ/src/code.jl:460 [inlined] [5] macro expansion @ ~/.julia/packages/Symbolics/RTN3F/src/build_function.jl:368 [inlined] [6] macro expansion @ ~/.julia/packages/RuntimeGeneratedFunctions/2SjTC/src/RuntimeGeneratedFunctions.jl:161 [inlined] [7] macro expansion @ ./none:0 [inlined] [8] generated_callfunc @ ./none:0 [inlined] [9] RuntimeGeneratedFunction @ ~/.julia/packages/RuntimeGeneratedFunctions/2SjTC/src/RuntimeGeneratedFunctions.jl:148 [inlined] [10] macro expansion @ ~/.julia/packages/ModelingToolkit/vyvd9/src/systems/codegen_utils.jl:-1 [inlined] [11] _generated_call @ ~/.julia/packages/ModelingToolkit/vyvd9/src/systems/codegen_utils.jl:353 [inlined] [12] GeneratedFunctionWrapper @ ~/.julia/packages/ModelingToolkit/vyvd9/src/systems/codegen_utils.jl:350 [inlined] [13] #29 @ ~/.julia/packages/OptimizationBase/SX92W/ext/OptimizationMTKExt.jl:81 [inlined] [14] (::OptimizationOptimJL.var"#22#23"{OptimizationCache{OptimizationFunction{true, AutoSparse{AutoSymbolics, ADTypes.NoSparsityDetector, ADTypes.NoColoringAlgorithm}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, OptimizationMTKExt.var"#27#28"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}}, Nothing, OptimizationMTKExt.var"#29#30"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}}, Nothing, OptimizationMTKExt.var"#31#32"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationMTKExt.var"#29#30"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}}}, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}, Nothing, Nothing, Nothing, Nothing, Nothing, Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, Bool, OptimizationOptimJL.var"#5#6", Nothing}})(H::SparseArrays.SparseMatrixCSC{Float64, Int64}, θ::Vector{Float64}) @ OptimizationOptimJL ~/.julia/packages/OptimizationOptimJL/VaURt/src/OptimizationOptimJL.jl:194 [15] hessian!!(obj::TwiceDifferentiable{Float64, Vector{Float64}, SparseArrays.SparseMatrixCSC{Float64, Int64}, Vector{Float64}}, x::Vector{Float64}) @ NLSolversBase ~/.julia/packages/NLSolversBase/n7XXO/src/interface.jl:95 [16] initial_state(method::Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, options::Optim.Options{Float64, OptimizationOptimJL.var"#_cb#_cb##0"{OptimizationCache{OptimizationFunction{true, AutoSparse{AutoSymbolics, ADTypes.NoSparsityDetector, ADTypes.NoColoringAlgorithm}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, OptimizationMTKExt.var"#27#28"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}}, Nothing, OptimizationMTKExt.var"#29#30"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}}, Nothing, OptimizationMTKExt.var"#31#32"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationMTKExt.var"#29#30"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}}}, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}, Nothing, Nothing, Nothing, Nothing, Nothing, Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, Bool, OptimizationOptimJL.var"#5#6", Nothing}}}, d::TwiceDifferentiable{Float64, Vector{Float64}, SparseArrays.SparseMatrixCSC{Float64, Int64}, Vector{Float64}}, initial_x::Vector{Float64}) @ Optim ~/.julia/packages/Optim/7krni/src/multivariate/solvers/second_order/newton.jl:48 [17] optimize(d::TwiceDifferentiable{Float64, Vector{Float64}, SparseArrays.SparseMatrixCSC{Float64, Int64}, Vector{Float64}}, initial_x::Vector{Float64}, method::Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, options::Optim.Options{Float64, OptimizationOptimJL.var"#_cb#_cb##0"{OptimizationCache{OptimizationFunction{true, AutoSparse{AutoSymbolics, ADTypes.NoSparsityDetector, ADTypes.NoColoringAlgorithm}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, OptimizationMTKExt.var"#27#28"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}}, Nothing, OptimizationMTKExt.var"#29#30"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}}, Nothing, OptimizationMTKExt.var"#31#32"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationMTKExt.var"#29#30"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}}}, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}, Nothing, Nothing, Nothing, Nothing, Nothing, Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, Bool, OptimizationOptimJL.var"#5#6", Nothing}}}) @ Optim ~/.julia/packages/Optim/7krni/src/multivariate/optimize/optimize.jl:43 [18] __solve(cache::OptimizationCache{OptimizationFunction{true, AutoSparse{AutoSymbolics, ADTypes.NoSparsityDetector, ADTypes.NoColoringAlgorithm}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, OptimizationMTKExt.var"#27#28"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}}, Nothing, OptimizationMTKExt.var"#29#30"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}}, Nothing, OptimizationMTKExt.var"#31#32"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationMTKExt.var"#29#30"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}}}, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}, Nothing, Nothing, Nothing, Nothing, Nothing, Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, Bool, OptimizationOptimJL.var"#5#6", Nothing}) @ OptimizationOptimJL ~/.julia/packages/OptimizationOptimJL/VaURt/src/OptimizationOptimJL.jl:218 [19] solve!(cache::OptimizationCache{OptimizationFunction{true, AutoSparse{AutoSymbolics, ADTypes.NoSparsityDetector, ADTypes.NoColoringAlgorithm}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, OptimizationMTKExt.var"#27#28"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}}, Nothing, OptimizationMTKExt.var"#29#30"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}}, Nothing, OptimizationMTKExt.var"#31#32"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationMTKExt.var"#29#30"{OptimizationFunction{true, SciMLBase.NoAD, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xb4738cf7, 0x8929a586, 0x6a57b721, 0xf1453782, 0x1c5ff2d2), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xff018d06, 0x456c0fbb, 0xefad0f51, 0xe6d02373, 0x487bc447), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xfe06895c, 0xea1ddef5, 0x9284b147, 0xf87bffdf, 0xc244b15f), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf25f0cec, 0xfdf92199, 0x8b3eec66, 0x76049c55, 0xf8913299), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x2b075835, 0x08d46ad8, 0x23ff9ea6, 0xb0d3ff86, 0x99e20c25), Nothing}}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}}}, Nothing, Nothing, Nothing, Nothing, Nothing, SparseArrays.SparseMatrixCSC{Float64, Int64}, Nothing, Nothing, ModelingToolkit.ObservedFunctionCache{System}, SymbolicUtils.BasicSymbolic{Real}, Nothing, System, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, OptimizationBase.ReInitCache{Vector{Float64}, Vector{Float64}}, Nothing, Nothing, Nothing, Nothing, Nothing, Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}, Bool, OptimizationOptimJL.var"#5#6", Nothing}) @ SciMLBase ~/.julia/packages/SciMLBase/THas4/src/solve.jl:226 [20] solve(::OptimizationProblem{true, OptimizationFunction{true, AutoSparse{AutoSymbolics, ADTypes.NoSparsityDetector, ADTypes.NoColoringAlgorithm}, var"#rosenbrock#rosenbrock##0", Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Vector{Float64}, Vector{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, @Kwargs{}}, ::Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}; kwargs::@Kwargs{}) @ SciMLBase ~/.julia/packages/SciMLBase/THas4/src/solve.jl:128 [21] solve(::OptimizationProblem{true, OptimizationFunction{true, AutoSparse{AutoSymbolics, ADTypes.NoSparsityDetector, ADTypes.NoColoringAlgorithm}, var"#rosenbrock#rosenbrock##0", Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing}, Vector{Float64}, Vector{Float64}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, @Kwargs{}}, ::Newton{LineSearches.InitialStatic{Float64}, LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}}) @ SciMLBase ~/.julia/packages/SciMLBase/THas4/src/solve.jl:125 [22] top-level scope @ ~/.julia/packages/OptimizationOptimJL/VaURt/test/runtests.jl:33 [23] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1776 [inlined] [24] macro expansion @ ~/.julia/packages/OptimizationOptimJL/VaURt/test/runtests.jl:167 [inlined] [25] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:306 [26] top-level scope @ none:6 [27] eval(m::Module, e::Any) @ Core ./boot.jl:489 [28] exec_options(opts::Base.JLOptions) @ Base ./client.jl:287 [29] _start() @ Base ./client.jl:554 Test Summary: | Pass Error Total Time OptimizationOptimJL.jl | 6708 1 6709 6m21.9s RNG of the outermost testset: Xoshiro(0xb34448fb3073d702, 0x049a2f7cdf05cd9a, 0xdf4099721bfc897e, 0x6900f625933ae1e0, 0xfc5c91b360101c66) ERROR: LoadError: Some tests did not pass: 6708 passed, 0 failed, 1 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/OptimizationOptimJL/VaURt/test/runtests.jl:32 Testing failed after 1805.21s ERROR: LoadError: Package OptimizationOptimJL 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 1923.4s: networking-related issues were detected