Package evaluation of OptimizationOptimJL on Julia 1.13.0-DEV.843 (7634fdf1d6*) started at 2025-07-10T22:38:58.370 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.27s ################################################################################ # Installation # Installing OptimizationOptimJL... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [36348300] + OptimizationOptimJL v0.4.3 Updating `~/.julia/environments/v1.13/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 v2.102.1 [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 v1.7.0 [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 v8.14.1+1 [e37daf67] + LibGit2_jll v1.9.1+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 [efcefdf7] + PCRE2_jll v10.45.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 Installation completed after 5.09s ################################################################################ # 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 38.65s ################################################################################ # Testing # Testing OptimizationOptimJL Test Could not use exact versions of packages in manifest. Re-resolving dependencies Updating `/tmp/jl_i5k9kQ/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_i5k9kQ/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 v1.6.3 [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 v0.4.4 [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 v6.43.0 [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_i5k9kQ/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_i5k9kQ/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 v1.6.3 [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 v0.4.4 [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 v2.102.1 [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 v6.43.0 [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 v1.7.0 [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 v8.14.1+1 [e37daf67] LibGit2_jll v1.9.1+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 [efcefdf7] PCRE2_jll v10.45.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [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 ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Precompiling packages... 5053.6 ms ✓ StructArrays 976.7 ms ✓ StructArrays → StructArraysAdaptExt 1024.9 ms ✓ StructArrays → StructArraysLinearAlgebraExt 1479.6 ms ✓ StructArrays → StructArraysSparseArraysExt 12889.5 ms ✓ ChainRules 77259.3 ms ✓ Zygote 6 dependencies successfully precompiled in 100 seconds. 60 already precompiled. Precompiling packages... 1268.4 ms ✓ Accessors → StructArraysExt 1 dependency successfully precompiled in 1 seconds. 20 already precompiled. Precompiling packages... 3538.5 ms ✓ RecursiveArrayTools → RecursiveArrayToolsStructArraysExt 1 dependency successfully precompiled in 5 seconds. 50 already precompiled. Precompiling packages... 2201.6 ms ✓ ArrayInterface → ArrayInterfaceChainRulesExt 1 dependency successfully precompiled in 3 seconds. 40 already precompiled. Precompiling packages... 13453.2 ms ✓ RecursiveArrayTools → RecursiveArrayToolsZygoteExt 1 dependency successfully precompiled in 15 seconds. 93 already precompiled. Precompiling packages... 10990.0 ms ✓ OptimizationBase → OptimizationZygoteExt 6018.1 ms ✓ DifferentiationInterface → DifferentiationInterfaceZygoteExt 14339.0 ms ✓ SciMLBase → SciMLBaseZygoteExt 3 dependencies successfully precompiled in 33 seconds. 128 already precompiled. Precompiling packages... 42593.2 ms ✓ ReverseDiff 1 dependency successfully precompiled in 43 seconds. 32 already precompiled. Precompiling packages... 1816.3 ms ✓ Accessors → StaticArraysExt 1 dependency successfully precompiled in 2 seconds. 18 already precompiled. Precompiling packages... 1943.5 ms ✓ StructArrays → StructArraysStaticArraysExt 1 dependency successfully precompiled in 2 seconds. 19 already precompiled. Precompiling packages... 13367.7 ms ✓ ArrayInterface → ArrayInterfaceReverseDiffExt 1 dependency successfully precompiled in 14 seconds. 39 already precompiled. Precompiling packages... 14042.9 ms ✓ DifferentiationInterface → DifferentiationInterfaceReverseDiffExt 13867.2 ms ✓ OptimizationBase → OptimizationReverseDiffExt 2 dependencies successfully precompiled in 30 seconds. 121 already precompiled. Precompiling packages... 25999.0 ms ✓ RecursiveArrayTools → RecursiveArrayToolsReverseDiffExt 1 dependency successfully precompiled in 28 seconds. 105 already precompiled. Precompiling packages... 3224.3 ms ✓ Accessors → UnitfulExt 2028.6 ms ✓ Accessors → IntervalSetsExt 3297.8 ms ✓ DispatchDoctor 1665.4 ms ✓ ResettableStacks 5288.2 ms ✓ DomainSets 10041.6 ms ✓ Graphs 5140.9 ms ✓ DynamicPolynomials 5926.5 ms ✓ SciMLBase → SciMLBaseMLStyleExt 10657.1 ms ✓ SciMLJacobianOperators 5309.5 ms ✓ SCCNonlinearSolve 3704.0 ms ✓ FastPower → FastPowerForwardDiffExt 20515.8 ms ✓ LinearSolve 4421.9 ms ✓ RecursiveArrayTools → RecursiveArrayToolsFastBroadcastExt 1117.4 ms ✓ DispatchDoctor → DispatchDoctorEnzymeCoreExt 12815.1 ms ✓ DynamicQuantities 1391.1 ms ✓ DispatchDoctor → DispatchDoctorChainRulesCoreExt 53219.5 ms ✓ SymbolicUtils 13084.8 ms ✓ LineSearch 19180.6 ms ✓ NonlinearSolveBase 12279.0 ms ✓ LinearSolve → LinearSolveSparseArraysExt 7020.2 ms ✓ LinearSolve → LinearSolveEnzymeExt 10702.3 ms ✓ LinearSolve → LinearSolveForwardDiffExt 9663.2 ms ✓ DiffEqBase 4490.9 ms ✓ DynamicQuantities → DynamicQuantitiesUnitfulExt 1937.1 ms ✓ DynamicQuantities → DynamicQuantitiesLinearAlgebraExt 10157.5 ms ✓ SymbolicLimits 5781.6 ms ✓ LineSearch → LineSearchLineSearchesExt 5985.3 ms ✓ NonlinearSolveBase → NonlinearSolveBaseSparseMatrixColoringsExt 5508.8 ms ✓ NonlinearSolveBase → NonlinearSolveBaseSparseArraysExt 7163.1 ms ✓ NonlinearSolveBase → NonlinearSolveBaseLinearSolveExt 11482.1 ms ✓ BracketingNonlinearSolve 5813.1 ms ✓ NonlinearSolveBase → NonlinearSolveBaseLineSearchExt 8989.1 ms ✓ NonlinearSolveBase → NonlinearSolveBaseForwardDiffExt 7426.1 ms ✓ DiffEqBase → DiffEqBaseChainRulesCoreExt 9513.8 ms ✓ DiffEqBase → DiffEqBaseForwardDiffExt 7545.4 ms ✓ DiffEqBase → DiffEqBaseUnitfulExt 9889.1 ms ✓ DiffEqBase → DiffEqBaseDistributionsExt 6201.4 ms ✓ DiffEqBase → DiffEqBaseSparseArraysExt 11057.9 ms ✓ DiffEqCallbacks 12078.5 ms ✓ OrdinaryDiffEqCore 5957.1 ms ✓ NonlinearSolveBase → NonlinearSolveBaseDiffEqBaseExt 68006.7 ms ✓ Symbolics 5823.3 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveForwardDiffExt 15469.6 ms ✓ DiffEqNoiseProcess 12133.7 ms ✓ JumpProcesses 6236.1 ms ✓ OrdinaryDiffEqCore → OrdinaryDiffEqCoreEnzymeCoreExt 18777.4 ms ✓ NonlinearSolveSpectralMethods 30187.5 ms ✓ NonlinearSolveQuasiNewton 52642.0 ms ✓ NonlinearSolveFirstOrder 18477.5 ms ✓ Symbolics → SymbolicsForwardDiffExt 15211.5 ms ✓ DifferentiationInterface → DifferentiationInterfaceSymbolicsExt 5884.1 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveChainRulesCoreExt 24100.3 ms ✓ SimpleNonlinearSolve 7323.9 ms ✓ NonlinearSolveSpectralMethods → NonlinearSolveSpectralMethodsForwardDiffExt 10190.3 ms ✓ NonlinearSolveQuasiNewton → NonlinearSolveQuasiNewtonForwardDiffExt 6775.5 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveChainRulesCoreExt 7513.4 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveDiffEqBaseExt 10373.0 ms ✓ ImplicitDiscreteSolve 38158.2 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 320466.5 ms ✓ ModelingToolkit 60 dependencies successfully precompiled in 1039 seconds. 248 already precompiled. 1 dependency had output during precompilation: ┌ ModelingToolkit │ [Output was shown above] └ Precompiling packages... 21712.7 ms ✓ SymbolicUtils → SymbolicUtilsReverseDiffExt 1 dependency successfully precompiled in 23 seconds. 97 already precompiled. Precompiling packages... 13909.5 ms ✓ FastPower → FastPowerReverseDiffExt 1 dependency successfully precompiled in 14 seconds. 35 already precompiled. Precompiling packages... 23120.9 ms ✓ DiffEqBase → DiffEqBaseReverseDiffExt 1 dependency successfully precompiled in 25 seconds. 128 already precompiled. Precompiling packages... 25532.3 ms ✓ DiffEqNoiseProcess → DiffEqNoiseProcessReverseDiffExt 1 dependency successfully precompiled in 30 seconds. 180 already precompiled. Precompiling packages... 23154.9 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveReverseDiffExt 1 dependency successfully precompiled in 25 seconds. 119 already precompiled. Precompiling packages... 61436.3 ms ✓ OptimizationBase → OptimizationMTKExt 1 dependency successfully precompiled in 68 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 2-element Vector{Float64} at index [3] Stacktrace: [1] throw_boundserror(A::Vector{Float64}, I::Tuple{Int64}) @ Base ./essentials.jl:15 [2] _setindex! @ ./array.jl:992 [inlined] [3] setindex! @ ./array.jl:988 [inlined] [4] macro expansion @ ~/.julia/packages/SymbolicUtils/aooYZ/src/code.jl:460 [inlined] [5] macro expansion @ ~/.julia/packages/Symbolics/zyJQ0/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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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", (0x61aa4ddc, 0xb7534984, 0xf0f7bccf, 0xbdc3e380, 0x0ea069d3), Nothing}, Nothing}, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xbfe29db1, 0x3ca779dc, 0x18d2fd56, 0xc51975ac, 0x3524f4b4), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x6c368ba6, 0xb09300bb, 0x5343fc90, 0x330793e8, 0x8a607067), Nothing}}, Nothing, ModelingToolkit.GeneratedFunctionWrapper{(2, 2, true), RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3ab8b6cc, 0x317899ce, 0x099a864f, 0x2dec6766, 0x7f775e0e), Nothing}, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0xf290bee1, 0x65529b1c, 0x7170ce1f, 0x9ae8c682, 0xee017208), 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/gwbNe/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/gwbNe/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/gwbNe/src/solve.jl:125 [22] top-level scope @ ~/.julia/packages/OptimizationOptimJL/VaURt/test/runtests.jl:33 [23] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1855 [inlined] [24] macro expansion @ ~/.julia/packages/OptimizationOptimJL/VaURt/test/runtests.jl:167 [inlined] [25] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:286 [29] _start() @ Base ./client.jl:553 Test Summary: | Pass Error Total Time OptimizationOptimJL.jl | 6708 1 6709 6m38.2s RNG of the outermost testset: Xoshiro(0x76cb83a0b1696f2b, 0x0d7d744cdfb3dc67, 0x712188e7309cc5c9, 0xe97a596ea54a3e25, 0x3743ff11c89c9450) 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 2000.69s ERROR: LoadError: Package OptimizationOptimJL 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:2446 [3] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2301 [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:500 [5] 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:164 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:152 [7] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:152 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.13/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:309 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:320 [12] _start() @ Base ./client.jl:553 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 2080.43s: package tests unexpectedly errored