Package evaluation to test OptimizationOptimJL on Julia 1.10.10 (c8be17dcfd*) started at 2026-02-02T20:15:32.502 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.10` Set-up completed after 5.28s ################################################################################ # Installation # Installing OptimizationOptimJL... Resolving package versions... Updating `~/.julia/environments/v1.10/Project.toml` [36348300] + OptimizationOptimJL v0.4.9 Updating `~/.julia/environments/v1.10/Manifest.toml` [47edcb42] + ADTypes v1.21.0 [7d9f7c33] + Accessors v0.1.43 [79e6a3ab] + Adapt v4.4.0 [4fba245c] + ArrayInterface v7.22.0 [38540f10] + CommonSolve v0.2.6 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [a0c0ee7d] + DifferentiationInterface v0.7.16 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.6 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [9aa1b823] + FastClosures v0.3.2 [1a297f60] + FillArrays v1.16.0 [6a86dc24] + FiniteDiff v2.29.0 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [46192b85] + GPUArraysCore v0.2.0 [3587e190] + InverseFunctions v0.1.17 [82899510] + IteratorInterfaceExtensions v1.0.0 [ae98c720] + Jieko v0.2.1 [d3d80556] + LineSearches v7.6.0 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [2e0e35c7] + Moshi v0.3.7 [d41bc354] + NLSolversBase v8.0.0 [77ba4419] + NaNMath v1.1.3 [429524aa] + Optim v2.0.0 [bca83a33] + OptimizationBase v4.2.0 [36348300] + OptimizationOptimJL v0.4.9 [90014a1f] + PDMats v0.11.37 [85a6dd25] + PositiveFactorizations v0.2.4 [d236fae5] + PreallocationTools v1.1.2 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.5.1 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.47.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [7e49a35a] + RuntimeGeneratedFunctions v0.5.17 [0bca4576] + SciMLBase v2.136.0 [a6db7da4] + SciMLLogging v1.8.0 [c0aeaf25] + SciMLOperators v1.15.1 [431bcebd] + SciMLPublic v1.0.1 [53ae85a6] + SciMLStructures v1.10.0 [efcf1570] + Setfield v1.1.2 [9f842d2f] + SparseConnectivityTracer v1.1.3 [0a514795] + SparseMatrixColorings v0.4.23 [1e83bf80] + StaticArraysCore v1.4.4 [2efcf032] + SymbolicIndexingInterface v0.3.46 [56f22d72] + Artifacts [2a0f44e3] + Base64 [ade2ca70] + Dates [8ba89e20] + Distributed [9fa8497b] + Future [8f399da3] + Libdl [37e2e46d] + LinearAlgebra [56ddb016] + Logging [d6f4376e] + Markdown [de0858da] + Printf [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [6462fe0b] + Sockets [2f01184e] + SparseArrays v1.10.0 [10745b16] + Statistics v1.10.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs [4ec0a83e] + Unicode [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [4536629a] + OpenBLAS_jll v0.3.23+5 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.2.1+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 8.82s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... ┌ Warning: Circular dependency detected. │ Precompilation will be skipped for dependencies in this cycle: │ ┌ OrdinaryDiffEqCore → OrdinaryDiffEqCoreEnzymeCoreExt │ └─ OrdinaryDiffEqCore → OrdinaryDiffEqCoreSparseArraysExt │ Precompilation will also be skipped for the following, which depend on the above cycle: │ ModelingToolkitBase → MTKChainRulesCoreExt │ ModelingToolkit │ ModelingToolkitBase │ ImplicitDiscreteSolve │ ModelingToolkitTearing └ @ Pkg.API.Precompilation /opt/julia/share/julia/stdlib/v1.10/Pkg/src/precompilation.jl:583 Precompilation completed after 21.26s ################################################################################ # Testing # Testing OptimizationOptimJL Status `/tmp/jl_DAUmll/Project.toml` [f6369f11] ForwardDiff v1.3.2 [961ee093] ModelingToolkit v11.9.0 [429524aa] Optim v2.0.0 [bca83a33] OptimizationBase v4.2.0 [36348300] OptimizationOptimJL v0.4.9 [189a3867] Reexport v1.2.2 [37e2e3b7] ReverseDiff v1.16.2 [0bca4576] SciMLBase v2.136.0 [e88e6eb3] Zygote v0.7.10 [9a3f8284] Random [2f01184e] SparseArrays v1.10.0 [8dfed614] Test Status `/tmp/jl_DAUmll/Manifest.toml` [47edcb42] ADTypes v1.21.0 [621f4979] AbstractFFTs v1.5.0 [6e696c72] AbstractPlutoDingetjes v1.3.2 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.4.0 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.22.0 [4c555306] ArrayLayouts v1.12.2 [e2ed5e7c] Bijections v0.2.2 [caf10ac8] BipartiteGraphs v0.1.6 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] BlockArrays v1.9.3 [70df07ce] BracketingNonlinearSolve v1.6.2 [2a0fbf3d] CPUSummary v0.2.7 [082447d4] ChainRules v1.72.6 [d360d2e6] ChainRulesCore v1.26.0 [fb6a15b2] CloseOpenIntervals v0.1.13 ⌅ [861a8166] Combinatorics v1.0.2 [38540f10] CommonSolve v0.2.6 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [b152e2b5] CompositeTypes v0.1.4 [a33af91c] CompositionsBase v0.1.2 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v1.1.1+0 [deac9b47] LibCURL_jll v8.4.0+0 [e37daf67] LibGit2_jll v1.6.4+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.1010+0 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.23+5 [05823500] OpenLibm_jll v0.8.5+0 [bea87d4a] SuiteSparse_jll v7.2.1+1 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.52.0+1 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... ┌ 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/mYxHK/src/cache.jl:58 ┌ 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/mYxHK/src/cache.jl:58 ┌ 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/mYxHK/src/cache.jl:58 ┌ 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/mYxHK/src/cache.jl:58 ┌ 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/mYxHK/src/cache.jl:58 ┌ 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/mYxHK/src/cache.jl:58 ┌ 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/mYxHK/src/cache.jl:58 ┌ 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/mYxHK/src/cache.jl:58 ┌ Warning: Terminated early due to NaN in gradient. └ @ Optim ~/.julia/packages/Optim/mv9zc/src/multivariate/optimize/optimize.jl:136 ┌ 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/mYxHK/src/cache.jl:58 ┌ 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/mYxHK/src/cache.jl:58 ┌ Warning: Terminated early due to NaN in gradient. └ @ Optim ~/.julia/packages/Optim/mv9zc/src/multivariate/optimize/optimize.jl:136 ┌ Warning: Terminated early due to NaN in gradient. └ @ Optim ~/.julia/packages/Optim/mv9zc/src/multivariate/optimize/optimize.jl:136 ┌ Warning: Terminated early due to NaN in gradient. └ @ Optim ~/.julia/packages/Optim/mv9zc/src/multivariate/optimize/optimize.jl:136 ┌ Warning: Terminated early due to NaN in gradient. └ @ Optim ~/.julia/packages/Optim/mv9zc/src/multivariate/optimize/optimize.jl:136 WARNING: Method definition rosenbrock(Any, Any) in module Main at /home/pkgeval/.julia/packages/OptimizationOptimJL/VKmZA/test/runtests.jl:33 overwritten at /home/pkgeval/.julia/packages/OptimizationOptimJL/VKmZA/test/runtests.jl:270. Test Summary: | Pass Total Time OptimizationOptimJL.jl | 6876 6876 4m11.7s Testing OptimizationOptimJL tests passed Testing completed after 543.27s PkgEval succeeded after 587.07s