Package evaluation of NonconvexJuniper on Julia 1.13.0-DEV.1265 (cd62cf9a08*) started at 2025-10-06T03:43:37.334 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 10.82s ################################################################################ # Installation # Installing NonconvexJuniper... Resolving package versions... Installed CommonWorldInvalidations ──── v1.0.0 Installed Bzip2_jll ─────────────────── v1.0.9+0 Installed MUMPS_seq_jll ─────────────── v500.800.100+0 Installed VertexSafeGraphs ──────────── v0.2.0 Installed DifferentiableFlatten ─────── v0.1.1 Installed OrderedCollections ────────── v1.8.1 Installed SymbolicUtils ─────────────── v2.1.3 Installed NLPModels ─────────────────── v0.21.5 Installed Xorg_libpciaccess_jll ─────── v0.18.1+0 Installed Ipopt_jll ─────────────────── v300.1400.1900+0 Installed StaticArrayInterface ──────── v1.8.0 Installed PreallocationTools ────────── v0.4.34 Installed NaNMath ───────────────────── v1.1.3 Installed AbstractDifferentiation ───── v0.4.4 Installed QuadGK ────────────────────── v2.11.2 Installed ChainRules ────────────────── v1.72.6 Installed OpenSpecFun_jll ───────────── v0.5.6+0 Installed EnumX ─────────────────────── v1.0.5 Installed ScopedValues ──────────────── v1.5.0 Installed Tables ────────────────────── v1.12.1 Installed PackageExtensionCompat ────── v1.0.2 Installed Reexport ──────────────────── v1.2.2 Installed Jieko ─────────────────────── v0.2.1 Installed InverseFunctions ──────────── v0.1.17 Installed Static ────────────────────── v1.3.0 Installed Missings ──────────────────── v1.2.0 Installed LaTeXStrings ──────────────── v1.4.0 Installed Preferences ───────────────── v1.5.0 Installed TableTraits ───────────────── v1.0.1 Installed SortingAlgorithms ─────────── v1.2.2 Installed IterativeSolvers ──────────── v0.9.4 Installed RecursiveArrayTools ───────── v3.36.0 Installed Format ────────────────────── v1.3.7 Installed UnPack ────────────────────── v1.0.2 Installed CRlibm ────────────────────── v1.0.2 Installed Inflate ───────────────────── v0.1.5 Installed SetRounding ───────────────── v0.2.1 Installed ADTypes ───────────────────── v1.18.0 Installed MacroTools ────────────────── v0.5.16 Installed DataStructures ────────────── v0.18.22 Installed DiffResults ───────────────── v1.1.0 Installed TermInterface ─────────────── v0.4.1 Installed AbstractTrees ─────────────── v0.4.5 Installed ArnoldiMethod ─────────────── v0.4.0 Installed FillArrays ────────────────── v1.14.0 Installed CodecZlib ─────────────────── v0.7.8 Installed StatsBase ─────────────────── v0.34.6 Installed ExprTools ─────────────────── v0.1.10 Installed Zygote ────────────────────── v0.6.77 Installed ArrayInterface ────────────── v7.20.0 Installed CEnum ─────────────────────── v0.5.0 Installed NonconvexUtils ────────────── v0.4.3 Installed DataValueInterfaces ───────── v1.0.0 Installed SparseDiffTools ───────────── v2.23.1 Installed RealDot ───────────────────── v0.1.0 Installed CommonSubexpressions ──────── v0.3.1 Installed IrrationalConstants ───────── v0.2.4 Installed GPUArraysCore ─────────────── v0.2.0 Installed RoundingEmulator ──────────── v0.2.1 Installed SimpleTraits ──────────────── v0.9.5 Installed Hwloc_jll ─────────────────── v2.12.2+0 Installed SPRAL_jll ─────────────────── v2025.5.20+0 Installed CompositeTypes ────────────── v0.1.4 Installed Setfield ──────────────────── v1.1.2 Installed BenchmarkTools ────────────── v1.6.0 Installed CRlibm_jll ────────────────── v1.0.1+0 Installed PDMats ────────────────────── v0.11.35 Installed CompositionsBase ──────────── v0.1.2 Installed CommonSolve ───────────────── v0.2.4 Installed DocStringExtensions ───────── v0.9.5 Installed ForwardDiff ───────────────── v0.10.39 Installed Rmath_jll ─────────────────── v0.5.1+0 Installed Moshi ─────────────────────── v0.3.7 Installed Ghostscript_jll ───────────── v9.55.1+0 Installed LabelledArrays ────────────── v1.16.1 Installed Unityper ──────────────────── v0.1.6 Installed AliasTables ───────────────── v1.1.3 Installed Bijections ────────────────── v0.1.10 Installed SparseInverseSubset ───────── v0.1.2 Installed DynamicPolynomials ────────── v0.5.7 Installed HashArrayMappedTries ──────── v0.2.0 Installed MathOptInterface ──────────── v1.45.0 Installed Combinatorics ─────────────── v1.0.3 Installed RecipesBase ───────────────── v1.3.4 Installed IteratorInterfaceExtensions ─ v1.0.0 Installed FunctionWrappersWrappers ──── v0.1.3 Installed DataAPI ───────────────────── v1.16.0 Installed SciMLOperators ────────────── v0.3.13 Installed DomainSets ────────────────── v0.7.16 Installed StaticArraysCore ──────────── v1.4.3 Installed SciMLStructures ───────────── v1.7.0 Installed StaticArrays ──────────────── v1.9.15 Installed MultivariatePolynomials ───── v0.5.9 Installed GPUArrays ─────────────────── v11.2.5 Installed Symbolics ─────────────────── v5.36.0 Installed SciMLPublic ───────────────── v1.0.0 Installed AbstractFFTs ──────────────── v1.5.0 Installed FunctionWrappers ──────────── v1.1.3 Installed Latexify ──────────────────── v0.16.10 Installed Requires ──────────────────── v1.3.1 Installed LLVM ──────────────────────── v9.4.2 Installed OpenBLAS32_jll ────────────── v0.3.29+0 Installed LogExpFunctions ───────────── v0.3.29 Installed DiffRules ─────────────────── v1.15.1 Installed Parsers ───────────────────── v2.8.3 Installed JSON ──────────────────────── v0.21.4 Installed Distributions ─────────────── v0.25.122 Installed FastClosures ──────────────── v0.3.2 Installed Rmath ─────────────────────── v0.8.0 Installed SciMLBase ─────────────────── v2.87.0 Installed FiniteDiff ────────────────── v2.28.1 Installed UnsafeAtomics ─────────────── v0.3.0 Installed Juniper ───────────────────── v0.9.3 Installed StatsFuns ─────────────────── v1.5.0 Installed IRTools ───────────────────── v0.4.15 Installed ZygoteRules ───────────────── v0.2.7 Installed JLLWrappers ───────────────── v1.7.1 Installed NonconvexCore ─────────────── v1.4.3 Installed MutableArithmetics ────────── v1.6.6 Installed SymbolicLimits ────────────── v0.2.1 Installed StructTypes ───────────────── v1.11.0 Installed JuMP ──────────────────────── v1.29.1 Installed ErrorfreeArithmetic ───────── v0.5.2 Installed LLVMExtra_jll ─────────────── v0.0.37+2 Installed Accessors ─────────────────── v0.1.42 Installed JpegTurbo_jll ─────────────── v3.1.3+0 Installed SolverCore ────────────────── v0.3.8 Installed Adapt ─────────────────────── v4.4.0 Installed RuntimeGeneratedFunctions ─── v0.5.15 Installed ConstructionBase ──────────── v1.5.6 Installed HypergeometricFunctions ───── v0.3.28 Installed LinearMaps ────────────────── v3.11.4 Installed SymbolicIndexingInterface ─── v0.3.45 Installed Graphs ────────────────────── v1.13.1 Installed TranscodingStreams ────────── v0.11.3 Installed Compat ────────────────────── v4.18.1 Installed LambertW ──────────────────── v0.4.6 Installed Statistics ────────────────── v1.11.1 Installed NonconvexIpopt ────────────── v0.4.3 Installed Atomix ────────────────────── v1.1.2 Installed ExproniconLite ────────────── v0.10.14 Installed PrecompileTools ───────────── v1.3.3 Installed StatsAPI ──────────────────── v1.7.1 Installed ASL_jll ───────────────────── v0.1.3+0 Installed StructArrays ──────────────── v0.7.1 Installed TimerOutputs ──────────────── v0.5.29 Installed CodecBzip2 ────────────────── v0.8.5 Installed JSON3 ─────────────────────── v1.14.3 Installed LinearOperators ───────────── v2.11.0 Installed ChainRulesCore ────────────── v1.26.0 Installed FastRounding ──────────────── v0.3.1 Installed NamedTupleTools ───────────── v0.14.3 Installed Parameters ────────────────── v0.12.3 Installed PtrArrays ─────────────────── v1.3.0 Installed XML2_jll ──────────────────── v2.13.9+0 Installed IfElse ────────────────────── v0.1.1 Installed KernelAbstractions ────────── v0.9.38 Installed IntervalArithmetic ────────── v0.20.9 Installed Libiconv_jll ──────────────── v1.18.0+0 Installed METIS_jll ─────────────────── v5.1.3+0 Installed NonconvexJuniper ──────────── v0.3.1 Installed Ipopt ─────────────────────── v1.11.0 Installed IntervalSets ──────────────── v0.7.11 Installed SpecialFunctions ──────────── v2.6.1 Installing 17 artifacts Installed artifact Xorg_libpciaccess 24.8 KiB Installed artifact OpenSpecFun 194.9 KiB Installed artifact SPRAL 691.8 KiB Installed artifact METIS 1.1 MiB Installed artifact JpegTurbo 1.4 MiB Installed artifact ASL 276.3 KiB Installed artifact LLVMExtra 3.2 MiB Installed artifact CRlibm 169.5 KiB Installed artifact Rmath 121.9 KiB Installed artifact Bzip2 503.5 KiB Installed artifact Hwloc 3.5 MiB Installed artifact XML2 2.5 MiB Installed artifact Ipopt 1.3 MiB Installed artifact Libiconv 1.9 MiB Installed artifact MUMPS_seq 8.6 MiB Installed artifact OpenBLAS32 10.0 MiB Installed artifact Ghostscript 31.4 MiB Updating `~/.julia/environments/v1.13/Project.toml` [611adb69] + NonconvexJuniper v0.3.1 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.18.0 ⌅ [c29ec348] + AbstractDifferentiation v0.4.4 [621f4979] + AbstractFFTs v1.5.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [ec485272] + ArnoldiMethod v0.4.0 [4fba245c] + ArrayInterface v7.20.0 [a9b6321e] + Atomix v1.1.2 [6e4b80f9] + BenchmarkTools v1.6.0 ⌅ [e2ed5e7c] + Bijections v0.1.10 [fa961155] + CEnum v0.5.0 [96374032] + CRlibm v1.0.2 [082447d4] + ChainRules v1.72.6 [d360d2e6] + ChainRulesCore v1.26.0 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [861a8166] + Combinatorics v1.0.3 [38540f10] + CommonSolve v0.2.4 [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 ⌅ [187b0558] + ConstructionBase v1.5.6 [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 [c78775a3] + DifferentiableFlatten v0.1.1 [31c24e10] + Distributions v0.25.122 [ffbed154] + DocStringExtensions v0.9.5 [5b8099bc] + DomainSets v0.7.16 ⌅ [7c1d4256] + DynamicPolynomials v0.5.7 [4e289a0a] + EnumX v1.0.5 [90fa49ef] + ErrorfreeArithmetic v0.5.2 [e2ba6199] + ExprTools v0.1.10 [55351af7] 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[63c18a36] + KernelAbstractions v0.9.38 [929cbde3] + LLVM v9.4.2 [b964fa9f] + LaTeXStrings v1.4.0 [2ee39098] + LabelledArrays v1.16.1 ⌅ [984bce1d] + LambertW v0.4.6 [23fbe1c1] + Latexify v0.16.10 [7a12625a] + LinearMaps v3.11.4 [5c8ed15e] + LinearOperators v2.11.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.45.0 [e1d29d7a] + Missings v1.2.0 [2e0e35c7] + Moshi v0.3.7 ⌃ [102ac46a] + MultivariatePolynomials v0.5.9 [d8a4904e] + MutableArithmetics v1.6.6 [a4795742] + NLPModels v0.21.5 [77ba4419] + NaNMath v1.1.3 [d9ec5142] + NamedTupleTools v0.14.3 [035190e5] + NonconvexCore v1.4.3 [bf347577] + NonconvexIpopt v0.4.3 [611adb69] + NonconvexJuniper v0.3.1 [c48e48a2] + NonconvexUtils v0.4.3 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 [65ce6f38] + PackageExtensionCompat v1.0.2 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.3 [d236fae5] + PreallocationTools v0.4.34 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 ⌃ [731186ca] + RecursiveArrayTools v3.36.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [5eaf0fd0] + RoundingEmulator v0.2.1 [7e49a35a] + RuntimeGeneratedFunctions v0.5.15 ⌃ [0bca4576] + SciMLBase v2.87.0 ⌅ [c0aeaf25] + SciMLOperators v0.3.13 [431bcebd] + SciMLPublic v1.0.0 [53ae85a6] + SciMLStructures v1.7.0 [7e506255] + ScopedValues v1.5.0 [3cc68bcd] + SetRounding v0.2.1 [efcf1570] + Setfield v1.1.2 [699a6c99] + SimpleTraits v0.9.5 [ff4d7338] + SolverCore v0.3.8 [a2af1166] + SortingAlgorithms v1.2.2 ⌃ [47a9eef4] + SparseDiffTools v2.23.1 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.6.1 [aedffcd0] + Static v1.3.0 [0d7ed370] + StaticArrayInterface v1.8.0 [90137ffa] + StaticArrays v1.9.15 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + 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Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 22.24s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 4911.2 ms ✓ TestEnv 1 dependency successfully precompiled in 6 seconds. 27 already precompiled. Precompiling package dependencies... Precompilation completed after 1054.13s ################################################################################ # Testing # Testing NonconvexJuniper Status `/tmp/jl_0qxyzO/Project.toml` [b6b21f68] Ipopt v1.11.0 [4076af6c] JuMP v1.29.1 [2ddba703] Juniper v0.9.3 [b8f27783] MathOptInterface v1.45.0 [035190e5] NonconvexCore v1.4.3 [bf347577] NonconvexIpopt v0.4.3 [611adb69] NonconvexJuniper v0.3.1 [d96e819e] Parameters v0.12.3 [189a3867] Reexport v1.2.2 ⌅ [e88e6eb3] Zygote v0.6.77 [37e2e46d] LinearAlgebra v1.13.0 [2f01184e] SparseArrays v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_0qxyzO/Manifest.toml` [47edcb42] ADTypes v1.18.0 ⌅ [c29ec348] AbstractDifferentiation v0.4.4 [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.20.0 [a9b6321e] Atomix v1.1.2 [6e4b80f9] BenchmarkTools v1.6.0 ⌅ [e2ed5e7c] Bijections v0.1.10 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v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.9.9 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+0 [efcefdf7] PCRE2_jll v10.46.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.13.1+0 [8e850ede] nghttp2_jll v1.67.1+0 [3f19e933] p7zip_jll v17.6.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... ┌ Error: Error during loading of extension SymbolicsPreallocationToolsExt of Symbolics, use `Base.retry_load_extensions()` to retry. │ exception = │ 1-element ExceptionStack: │ LoadError: UndefVarError: `ForwardDiff` not defined in `PreallocationTools` │ Suggestion: check for spelling errors or missing imports. │ Hint: ForwardDiff is loaded but not imported in the active module Main. │ Stacktrace: │ [1] eval_import_path_all(at::Module, path::Expr, keyword::String) │ @ Base ./module.jl:62 │ [2] _eval_using(to::Module, path::Expr) │ @ Base ./module.jl:137 │ [3] top-level scope │ @ ~/.julia/packages/Symbolics/qKoME/ext/SymbolicsPreallocationToolsExt.jl:5 │ [4] include(mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [5] __require_prelocked(pkg::Base.PkgId, env::Nothing) │ @ Base ./loading.jl:2777 │ [6] _require_prelocked(uuidkey::Base.PkgId, env::Nothing) │ @ Base ./loading.jl:2536 │ [7] _require_prelocked │ @ ./loading.jl:2530 [inlined] │ [8] run_extension_callbacks(extid::Base.ExtensionId) │ @ Base ./loading.jl:1582 │ [9] run_extension_callbacks(pkgid::Base.PkgId) │ @ Base ./loading.jl:1619 │ [10] run_package_callbacks(modkey::Base.PkgId) │ @ Base ./loading.jl:1435 │ [11] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:2544 │ [12] macro expansion │ @ ./loading.jl:2464 [inlined] │ [13] macro expansion │ @ ./lock.jl:376 [inlined] │ [14] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:2428 │ [15] require │ @ ./loading.jl:2404 [inlined] │ [16] eval_import_path │ @ ./module.jl:36 [inlined] │ [17] eval_import_path_all(at::Module, path::Expr, keyword::String) │ @ Base ./module.jl:60 │ [18] _eval_import(::Bool, ::Module, ::Expr, ::Expr, ::Vararg{Expr}) │ @ Base ./module.jl:101 │ [19] top-level scope │ @ ~/.julia/packages/NonconvexUtils/i3gzf/src/NonconvexUtils.jl:18 │ [20] include(mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [21] __require_prelocked(pkg::Base.PkgId, env::String) │ @ Base ./loading.jl:2777 │ [22] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:2536 │ [23] macro expansion │ @ ./loading.jl:2464 [inlined] │ [24] macro expansion │ @ ./lock.jl:376 [inlined] │ [25] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:2428 │ [26] require │ @ ./loading.jl:2404 [inlined] │ [27] eval_import_path │ @ ./module.jl:36 [inlined] │ [28] eval_import_path_all(at::Module, path::Expr, keyword::String) │ @ Base ./module.jl:60 │ [29] _eval_using(to::Module, path::Expr) │ @ Base ./module.jl:137 │ [30] top-level scope │ @ ~/.julia/packages/NonconvexIpopt/yAEgT/src/NonconvexIpopt.jl:5 │ [31] include(mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [32] __require_prelocked(pkg::Base.PkgId, env::String) │ @ Base ./loading.jl:2777 │ [33] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:2536 │ [34] macro expansion │ @ ./loading.jl:2464 [inlined] │ [35] macro expansion │ @ ./lock.jl:376 [inlined] │ [36] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:2428 │ [37] require │ @ ./loading.jl:2404 [inlined] │ [38] eval_import_path │ @ ./module.jl:36 [inlined] │ [39] eval_import_path_all(at::Module, path::Expr, keyword::String) │ @ Base ./module.jl:60 │ [40] _eval_using(to::Module, path::Expr) │ @ Base ./module.jl:137 │ [41] top-level scope │ @ ~/.julia/packages/NonconvexJuniper/7AcRL/src/NonconvexJuniper.jl:8 │ [42] include(mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [43] __require_prelocked(pkg::Base.PkgId, env::String) │ @ Base ./loading.jl:2777 │ [44] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:2536 │ [45] macro expansion │ @ ./loading.jl:2464 [inlined] │ [46] macro expansion │ @ ./lock.jl:376 [inlined] │ [47] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:2428 │ [48] require │ @ ./loading.jl:2404 [inlined] │ [49] eval_import_path │ @ ./module.jl:36 [inlined] │ [50] eval_import_path_all(at::Module, path::Expr, keyword::String) │ @ Base ./module.jl:60 │ [51] _eval_using(to::Module, path::Expr) │ @ Base ./module.jl:137 │ [52] top-level scope │ @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:1 │ [53] include(mapexpr::Function, mod::Module, _path::String) │ @ Base ./Base.jl:310 │ [54] top-level scope │ @ none:6 │ [55] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [56] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:310 │ [57] _start() │ @ Base ./client.jl:577 │ in expression starting at /home/pkgeval/.julia/packages/Symbolics/qKoME/ext/SymbolicsPreallocationToolsExt.jl:1 └ @ Base loading.jl:1592 WARNING: Constructor for type "Workspace" was extended in `NonconvexIpopt` without explicit qualification or import. NOTE: Assumed "Workspace" refers to `NonconvexCore.Workspace`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function Workspace end`. Hint: To silence the warning, qualify `Workspace` as `NonconvexCore.Workspace` in the method signature or explicitly `import NonconvexCore: Workspace`. WARNING: Constructor for type "Workspace" was extended in `NonconvexJuniper` without explicit qualification or import. NOTE: Assumed "Workspace" refers to `.Workspace`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function Workspace end`. Hint: To silence the warning, qualify `Workspace` as `.Workspace` in the method signature or explicitly `import : Workspace`. nl_solver : MathOptInterface.OptimizerWithAttributes(IpoptMathOptInterfaceExt.Optimizer, Pair{MathOptInterface.AbstractOptimizerAttribute, Any}[MathOptInterface.RawOptimizerAttribute("jac_c_constant") => "no", MathOptInterface.RawOptimizerAttribute("hessian_approximation") => "limited-memory", MathOptInterface.RawOptimizerAttribute("jac_d_constant") => "no"]) feasibility_pump : false log_levels : [:Options, :Table, :Info] #Variables: 2 #IntBinVar: 0 Obj Sense: Min ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.1. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 4 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 2 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 2 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.5313393e+00 1.27e+01 9.97e-01 0.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.4839416e+00 3.30e+00 1.57e-01 -5.4 3.51e-01 - 9.52e-01 1.00e+00h 1 2 1.3048472e+00 8.02e-01 3.19e-01 -6.7 4.99e-01 - 9.30e-01 1.00e+00h 1 3 1.0533955e+00 9.73e-02 4.48e-01 -2.6 6.61e-01 - 1.00e+00 1.00e+00h 1 4 5.8982897e-01 0.00e+00 8.25e-01 -3.6 9.23e-01 - 1.00e+00 1.00e+00h 1 5 4.0024267e-01 3.68e-01 1.10e+00 -1.7 1.63e+00 - 1.00e+00 3.42e-01h 1 6 5.9531365e-01 4.06e-03 1.04e+00 -2.0 2.70e-01 - 8.80e-01 1.00e+00h 1 7 5.5076681e-01 0.00e+00 2.84e-01 -2.7 2.49e-01 - 1.00e+00 1.00e+00h 1 8 5.4546369e-01 2.21e-04 5.12e-03 -3.4 2.70e-02 - 1.00e+00 9.67e-01h 1 9 5.4435008e-01 0.00e+00 1.90e-02 -5.4 2.07e-03 - 1.00e+00 1.00e+00h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 5.4433135e-01 0.00e+00 1.11e-04 -7.1 2.84e-05 - 1.00e+00 9.76e-01h 1 11 5.4433104e-01 0.00e+00 8.90e-07 -11.0 5.32e-07 - 1.00e+00 1.00e+00h 1 12 5.4433104e-01 0.00e+00 1.23e-10 -11.0 1.98e-10 - 1.00e+00 1.00e+00h 1 Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 5.4433104478623084e-01 5.4433104478623084e-01 Dual infeasibility......: 1.2290779505264027e-10 1.2290779505264027e-10 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 1.0000026449328530e-11 1.0000026449328530e-11 Overall NLP error.......: 1.2290779505264027e-10 1.2290779505264027e-10 Number of objective function evaluations = 13 Number of objective gradient evaluations = 13 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 13 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 13 Number of Lagrangian Hessian evaluations = 0 Total seconds in IPOPT = 8.151 EXIT: Optimal Solution Found. Incumbent using start values: 0.5443310447862308 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.1. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 4 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 2 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 2 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.5313393e+00 1.27e+01 9.97e-01 0.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.4839416e+00 3.30e+00 1.57e-01 -5.4 3.51e-01 - 9.52e-01 1.00e+00h 1 2 1.3048472e+00 8.02e-01 3.19e-01 -6.7 4.99e-01 - 9.30e-01 1.00e+00h 1 3 1.0533955e+00 9.73e-02 4.48e-01 -2.6 6.61e-01 - 1.00e+00 1.00e+00h 1 4 5.8982897e-01 0.00e+00 8.25e-01 -3.6 9.23e-01 - 1.00e+00 1.00e+00h 1 5 4.0024267e-01 3.68e-01 1.10e+00 -1.7 1.63e+00 - 1.00e+00 3.42e-01h 1 6 5.9531365e-01 4.06e-03 1.04e+00 -2.0 2.70e-01 - 8.80e-01 1.00e+00h 1 7 5.5076681e-01 0.00e+00 2.84e-01 -2.7 2.49e-01 - 1.00e+00 1.00e+00h 1 8 5.4546369e-01 2.21e-04 5.12e-03 -3.4 2.70e-02 - 1.00e+00 9.67e-01h 1 9 5.4435008e-01 0.00e+00 1.90e-02 -5.4 2.07e-03 - 1.00e+00 1.00e+00h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 5.4433135e-01 0.00e+00 1.11e-04 -7.1 2.84e-05 - 1.00e+00 9.76e-01h 1 11 5.4433104e-01 0.00e+00 8.90e-07 -11.0 5.32e-07 - 1.00e+00 1.00e+00h 1 12 5.4433104e-01 0.00e+00 1.23e-10 -11.0 1.98e-10 - 1.00e+00 1.00e+00h 1 Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 5.4433104478623084e-01 5.4433104478623084e-01 Dual infeasibility......: 1.2290779505264027e-10 1.2290779505264027e-10 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 1.0000026449328530e-11 1.0000026449328530e-11 Overall NLP error.......: 1.2290779505264027e-10 1.2290779505264027e-10 Number of objective function evaluations = 13 Number of objective gradient evaluations = 13 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 13 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 13 Number of Lagrangian Hessian evaluations = 0 Total seconds in IPOPT = 0.022 EXIT: Optimal Solution Found. Status of relaxation: LOCALLY_SOLVED Time for relaxation: 32.9306800365448 Relaxation Obj: 0.5443310447862308 Obj: 0.5443310447862308 Simple constraints: Error During Test at /home/pkgeval/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:8 Got exception outside of a @test UndefVarError: `JuniperIpoptResult` not defined in `NonconvexJuniper` Suggestion: define the const at top-level before running function that uses it (stricter Julia v1.12+ rule). Note: the binding state changed since the error occurred (was: 11, now: 0). Stacktrace: [1] #s27#1 @ ~/.julia/packages/ConstructionBase/Am9w7/src/ConstructionBase.jl:30 [inlined] [2] var"#s27#1"(T::Any, ::Any, ::Any) @ ConstructionBase ./none:0 [3] (::Core.GeneratedFunctionStub)(::UInt64, ::Method, ::Any, ::Vararg{Any}) @ Base ./expr.jl:1828 [4] setproperties_object(obj::NonconvexJuniper.JuniperIpoptResult{Vector{Float64}, Float64, NonconvexCore.JuMPProblem{NonconvexCore.JuMPEvaluator{Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}, NonconvexCore.var"#eval_g#get_jump_problem##3"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#19#20"}, Float64}, NonconvexCore.IneqConstraint{FunctionWrapper{var"#21#22"}, Float64}}}, Nothing}, NonconvexCore.var"#eval_grad_f#get_jump_problem##4"{NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}}, NonconvexCore.var"#eval_jac_g#get_jump_problem##6"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#19#20"}, Float64}, NonconvexCore.IneqConstraint{FunctionWrapper{var"#21#22"}, Float64}}}, Nothing}, NonconvexCore.var"#jac_structure#get_jump_problem##5"{Int64}, NonconvexCore.var"#get_jump_problem##7#get_jump_problem##8", NonconvexCore.var"#get_jump_problem##9#get_jump_problem##10"}, JuMP.Model, Vector{MathOptInterface.VariableIndex}}, Tuple{MathOptInterface.TerminationStatusCode, MathOptInterface.ResultStatusCode}, Int64}, patch::@NamedTuple{minimizer::Vector{Float64}}) @ ConstructionBase ~/.julia/packages/ConstructionBase/Am9w7/src/ConstructionBase.jl:219 [5] setproperties(obj::NonconvexJuniper.JuniperIpoptResult{Vector{Float64}, Float64, NonconvexCore.JuMPProblem{NonconvexCore.JuMPEvaluator{Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}, NonconvexCore.var"#eval_g#get_jump_problem##3"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#19#20"}, Float64}, NonconvexCore.IneqConstraint{FunctionWrapper{var"#21#22"}, Float64}}}, Nothing}, NonconvexCore.var"#eval_grad_f#get_jump_problem##4"{NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}}, NonconvexCore.var"#eval_jac_g#get_jump_problem##6"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#19#20"}, Float64}, NonconvexCore.IneqConstraint{FunctionWrapper{var"#21#22"}, Float64}}}, Nothing}, NonconvexCore.var"#jac_structure#get_jump_problem##5"{Int64}, NonconvexCore.var"#get_jump_problem##7#get_jump_problem##8", NonconvexCore.var"#get_jump_problem##9#get_jump_problem##10"}, JuMP.Model, Vector{MathOptInterface.VariableIndex}}, Tuple{MathOptInterface.TerminationStatusCode, MathOptInterface.ResultStatusCode}, Int64}, patch::@NamedTuple{minimizer::Vector{Float64}}) @ ConstructionBase ~/.julia/packages/ConstructionBase/Am9w7/src/ConstructionBase.jl:133 [6] set @ ~/.julia/packages/Setfield/ZezIj/src/lens.jl:122 [inlined] [7] macro expansion @ ~/.julia/packages/Setfield/ZezIj/src/sugar.jl:198 [inlined] [8] optimize(::Model{Vector{Any}}, ::JuniperIpoptAlg, ::Vector{Float64}; kwargs::@Kwargs{options::JuniperIpoptOptions{@NamedTuple{}, IpoptOptions{@NamedTuple{hessian_approximation::String, jac_c_constant::String, jac_d_constant::String, sparse::Bool, symbolic::Bool}}, Bool}}) @ NonconvexCore ~/.julia/packages/NonconvexCore/TFoWG/src/common.jl:244 [9] kwcall(::@NamedTuple{options::JuniperIpoptOptions{@NamedTuple{}, IpoptOptions{@NamedTuple{hessian_approximation::String, jac_c_constant::String, jac_d_constant::String, sparse::Bool, symbolic::Bool}}, Bool}}, ::typeof(optimize), ::Model{Vector{Any}}, ::JuniperIpoptAlg, ::Vector{Float64}) @ NonconvexCore ~/.julia/packages/NonconvexCore/TFoWG/src/common.jl:234 [10] top-level scope @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:2057 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2033 [inlined] [12] macro expansion @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:9 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [14] macro expansion @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:15 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [16] top-level scope @ none:6 [17] eval(m::Module, e::Any) @ Core ./boot.jl:489 [18] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [19] _start() @ Base ./client.jl:577 Equality constraints: Error During Test at /home/pkgeval/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:32 Got exception outside of a @test UndefVarError: `s1` not defined in `Main` Suggestion: add an appropriate import or assignment. This global was declared but not assigned. Stacktrace: [1] (::var"#27#28")(x::Vector{Float64}) @ Main ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:37 [2] add_eq_constraint!(m::Model{Vector{Any}}, f::var"#27#28", s::Float64) @ NonconvexCore ~/.julia/packages/NonconvexCore/TFoWG/src/models/model.jl:214 [3] top-level scope @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:2057 [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2033 [inlined] [5] macro expansion @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:33 [inlined] [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [7] macro expansion @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:37 [inlined] [8] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [9] top-level scope @ none:6 [10] eval(m::Module, e::Any) @ Core ./boot.jl:489 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [12] _start() @ Base ./client.jl:577 nl_solver : MathOptInterface.OptimizerWithAttributes(IpoptMathOptInterfaceExt.Optimizer, Pair{MathOptInterface.AbstractOptimizerAttribute, Any}[MathOptInterface.RawOptimizerAttribute("jac_c_constant") => "no", MathOptInterface.RawOptimizerAttribute("hessian_approximation") => "limited-memory", MathOptInterface.RawOptimizerAttribute("jac_d_constant") => "no"]) feasibility_pump : false log_levels : [:Options, :Table, :Info] #Variables: 2 #IntBinVar: 0 Obj Sense: Min This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.1. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 4 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 2 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 2 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.5313393e+00 1.27e+01 9.97e-01 0.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.4839416e+00 3.30e+00 1.57e-01 -5.4 3.51e-01 - 9.52e-01 1.00e+00h 1 2 1.3048472e+00 8.02e-01 3.19e-01 -6.7 4.99e-01 - 9.30e-01 1.00e+00h 1 3 1.0533955e+00 9.73e-02 4.48e-01 -2.6 6.61e-01 - 1.00e+00 1.00e+00h 1 4 5.8982897e-01 0.00e+00 8.25e-01 -3.6 9.23e-01 - 1.00e+00 1.00e+00h 1 5 4.0024267e-01 3.68e-01 1.10e+00 -1.7 1.63e+00 - 1.00e+00 3.42e-01h 1 6 5.9531365e-01 4.06e-03 1.04e+00 -2.0 2.70e-01 - 8.80e-01 1.00e+00h 1 7 5.5076681e-01 0.00e+00 2.84e-01 -2.7 2.49e-01 - 1.00e+00 1.00e+00h 1 8 5.4546369e-01 2.21e-04 5.12e-03 -3.4 2.70e-02 - 1.00e+00 9.67e-01h 1 9 5.4435008e-01 0.00e+00 1.90e-02 -5.4 2.07e-03 - 1.00e+00 1.00e+00h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 5.4433135e-01 0.00e+00 1.11e-04 -7.1 2.84e-05 - 1.00e+00 9.76e-01h 1 11 5.4433104e-01 0.00e+00 8.90e-07 -11.0 5.32e-07 - 1.00e+00 1.00e+00h 1 12 5.4433104e-01 0.00e+00 1.23e-10 -11.0 1.98e-10 - 1.00e+00 1.00e+00h 1 Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 5.4433104478623084e-01 5.4433104478623084e-01 Dual infeasibility......: 1.2290779505264027e-10 1.2290779505264027e-10 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 1.0000026449328530e-11 1.0000026449328530e-11 Overall NLP error.......: 1.2290779505264027e-10 1.2290779505264027e-10 Number of objective function evaluations = 13 Number of objective gradient evaluations = 13 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 13 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 13 Number of Lagrangian Hessian evaluations = 0 Total seconds in IPOPT = 0.275 EXIT: Optimal Solution Found. Incumbent using start values: 0.5443310447862308 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.1. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 4 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 2 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 2 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 2 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.5313393e+00 1.27e+01 9.97e-01 0.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.4839416e+00 3.30e+00 1.57e-01 -5.4 3.51e-01 - 9.52e-01 1.00e+00h 1 2 1.3048472e+00 8.02e-01 3.19e-01 -6.7 4.99e-01 - 9.30e-01 1.00e+00h 1 3 1.0533955e+00 9.73e-02 4.48e-01 -2.6 6.61e-01 - 1.00e+00 1.00e+00h 1 4 5.8982897e-01 0.00e+00 8.25e-01 -3.6 9.23e-01 - 1.00e+00 1.00e+00h 1 5 4.0024267e-01 3.68e-01 1.10e+00 -1.7 1.63e+00 - 1.00e+00 3.42e-01h 1 6 5.9531365e-01 4.06e-03 1.04e+00 -2.0 2.70e-01 - 8.80e-01 1.00e+00h 1 7 5.5076681e-01 0.00e+00 2.84e-01 -2.7 2.49e-01 - 1.00e+00 1.00e+00h 1 8 5.4546369e-01 2.21e-04 5.12e-03 -3.4 2.70e-02 - 1.00e+00 9.67e-01h 1 9 5.4435008e-01 0.00e+00 1.90e-02 -5.4 2.07e-03 - 1.00e+00 1.00e+00h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 5.4433135e-01 0.00e+00 1.11e-04 -7.1 2.84e-05 - 1.00e+00 9.76e-01h 1 11 5.4433104e-01 0.00e+00 8.90e-07 -11.0 5.32e-07 - 1.00e+00 1.00e+00h 1 12 5.4433104e-01 0.00e+00 1.23e-10 -11.0 1.98e-10 - 1.00e+00 1.00e+00h 1 Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 5.4433104478623084e-01 5.4433104478623084e-01 Dual infeasibility......: 1.2290779505264027e-10 1.2290779505264027e-10 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 1.0000026449328530e-11 1.0000026449328530e-11 Overall NLP error.......: 1.2290779505264027e-10 1.2290779505264027e-10 Number of objective function evaluations = 13 Number of objective gradient evaluations = 13 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 13 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 13 Number of Lagrangian Hessian evaluations = 0 Total seconds in IPOPT = 0.018 EXIT: Optimal Solution Found. Status of relaxation: LOCALLY_SOLVED Time for relaxation: 0.43488192558288574 Relaxation Obj: 0.5443310447862308 Obj: 0.5443310447862308 Block constraints: Error During Test at /home/pkgeval/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:62 Got exception outside of a @test UndefVarError: `JuniperIpoptResult` not defined in `NonconvexJuniper` Suggestion: define the const at top-level before running function that uses it (stricter Julia v1.12+ rule). Note: the binding state changed since the error occurred (was: 11, now: 0). Stacktrace: [1] #s27#1 @ ~/.julia/packages/ConstructionBase/Am9w7/src/ConstructionBase.jl:30 [inlined] [2] var"#s27#1"(T::Any, ::Any, ::Any) @ ConstructionBase ./none:0 [3] (::Core.GeneratedFunctionStub)(::UInt64, ::Method, ::Any, ::Vararg{Any}) @ Base ./expr.jl:1828 [4] setproperties_object(obj::NonconvexJuniper.JuniperIpoptResult{Vector{Float64}, Float64, NonconvexCore.JuMPProblem{NonconvexCore.JuMPEvaluator{Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}, NonconvexCore.var"#eval_g#get_jump_problem##3"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#41#42"}, Float64}}}, Nothing}, NonconvexCore.var"#eval_grad_f#get_jump_problem##4"{NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}}, NonconvexCore.var"#eval_jac_g#get_jump_problem##6"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#41#42"}, Float64}}}, Nothing}, NonconvexCore.var"#jac_structure#get_jump_problem##5"{Int64}, NonconvexCore.var"#get_jump_problem##7#get_jump_problem##8", NonconvexCore.var"#get_jump_problem##9#get_jump_problem##10"}, JuMP.Model, Vector{MathOptInterface.VariableIndex}}, Tuple{MathOptInterface.TerminationStatusCode, MathOptInterface.ResultStatusCode}, Int64}, patch::@NamedTuple{minimizer::Vector{Float64}}) @ ConstructionBase ~/.julia/packages/ConstructionBase/Am9w7/src/ConstructionBase.jl:219 [5] setproperties(obj::NonconvexJuniper.JuniperIpoptResult{Vector{Float64}, Float64, NonconvexCore.JuMPProblem{NonconvexCore.JuMPEvaluator{Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}, NonconvexCore.var"#eval_g#get_jump_problem##3"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#41#42"}, Float64}}}, Nothing}, NonconvexCore.var"#eval_grad_f#get_jump_problem##4"{NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}}, NonconvexCore.var"#eval_jac_g#get_jump_problem##6"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#41#42"}, Float64}}}, Nothing}, NonconvexCore.var"#jac_structure#get_jump_problem##5"{Int64}, NonconvexCore.var"#get_jump_problem##7#get_jump_problem##8", NonconvexCore.var"#get_jump_problem##9#get_jump_problem##10"}, JuMP.Model, Vector{MathOptInterface.VariableIndex}}, Tuple{MathOptInterface.TerminationStatusCode, MathOptInterface.ResultStatusCode}, Int64}, patch::@NamedTuple{minimizer::Vector{Float64}}) @ ConstructionBase ~/.julia/packages/ConstructionBase/Am9w7/src/ConstructionBase.jl:133 [6] set @ ~/.julia/packages/Setfield/ZezIj/src/lens.jl:122 [inlined] [7] macro expansion @ ~/.julia/packages/Setfield/ZezIj/src/sugar.jl:198 [inlined] [8] optimize(::Model{Vector{Any}}, ::JuniperIpoptAlg, ::Vector{Float64}; kwargs::@Kwargs{options::JuniperIpoptOptions{@NamedTuple{}, IpoptOptions{@NamedTuple{hessian_approximation::String, jac_c_constant::String, jac_d_constant::String, sparse::Bool, symbolic::Bool}}, Bool}}) @ NonconvexCore ~/.julia/packages/NonconvexCore/TFoWG/src/common.jl:244 [9] kwcall(::@NamedTuple{options::JuniperIpoptOptions{@NamedTuple{}, IpoptOptions{@NamedTuple{hessian_approximation::String, jac_c_constant::String, jac_d_constant::String, sparse::Bool, symbolic::Bool}}, Bool}}, ::typeof(optimize), ::Model{Vector{Any}}, ::JuniperIpoptAlg, ::Vector{Float64}) @ NonconvexCore ~/.julia/packages/NonconvexCore/TFoWG/src/common.jl:234 [10] top-level scope @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:2057 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2033 [inlined] [12] macro expansion @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:63 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [14] macro expansion @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:68 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [16] top-level scope @ none:6 [17] eval(m::Module, e::Any) @ Core ./boot.jl:489 [18] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [19] _start() @ Base ./client.jl:577 nl_solver : MathOptInterface.OptimizerWithAttributes(IpoptMathOptInterfaceExt.Optimizer, Pair{MathOptInterface.AbstractOptimizerAttribute, Any}[MathOptInterface.RawOptimizerAttribute("jac_c_constant") => "no", MathOptInterface.RawOptimizerAttribute("hessian_approximation") => "limited-memory", MathOptInterface.RawOptimizerAttribute("jac_d_constant") => "no"]) feasibility_pump : false log_levels : [:Options, :Table, :Info] #Variables: 2 #IntBinVar: 0 Obj Sense: Min This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.1. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 4 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 2 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 2 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 2 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.5313393e+00 1.27e+01 9.72e-01 0.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.4803481e+00 3.30e+00 1.65e-01 -5.8 3.52e-01 - 1.00e+00 1.00e+00h 1 2 1.2685150e+00 8.40e-01 3.48e-01 -6.8 5.82e-01 - 1.00e+00 1.00e+00h 1 3 9.5252729e-01 4.30e-02 5.03e-01 -2.6 7.84e-01 - 9.95e-01 1.00e+00h 1 4 5.1212396e-01 5.54e-02 9.50e-01 -4.2 1.18e+00 - 1.00e+00 6.85e-01h 1 5 3.9391736e-01 4.69e-01 1.13e+00 -2.2 2.27e+00 - 1.00e+00 2.07e-01h 1 6 5.1846953e-01 6.49e-02 5.53e-01 -1.9 8.69e-01 - 1.00e+00 4.80e-01h 1 7 5.4557200e-01 6.15e-03 2.98e-01 -2.1 4.21e-01 - 1.00e+00 9.90e-01h 1 8 5.4591049e-01 0.00e+00 9.06e-03 -3.9 5.29e-03 - 1.00e+00 1.00e+00h 1 9 5.4435013e-01 0.00e+00 3.03e-03 -5.4 2.19e-03 - 1.00e+00 9.98e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 5.4433113e-01 0.00e+00 1.60e-05 -7.2 2.40e-05 - 1.00e+00 9.98e-01h 1 11 5.4433104e-01 0.00e+00 6.93e-08 -11.0 1.61e-07 - 1.00e+00 1.00e+00h 1 12 5.4433104e-01 0.00e+00 4.71e-12 -11.0 5.58e-12 - 1.00e+00 1.00e+00h 1 Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 5.4433104478623073e-01 5.4433104478623073e-01 Dual infeasibility......: 4.7062354013860386e-12 4.7062354013860386e-12 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 1.0000000274257271e-11 1.0000000274257271e-11 Overall NLP error.......: 1.0000000274257271e-11 1.0000000274257271e-11 Number of objective function evaluations = 13 Number of objective gradient evaluations = 13 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 13 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 13 Number of Lagrangian Hessian evaluations = 0 Total seconds in IPOPT = 0.218 EXIT: Optimal Solution Found. Incumbent using start values: 0.5443310447862307 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.1. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 4 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 2 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 2 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 2 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.5313393e+00 1.27e+01 9.72e-01 0.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.4803481e+00 3.30e+00 1.65e-01 -5.8 3.52e-01 - 1.00e+00 1.00e+00h 1 2 1.2685150e+00 8.40e-01 3.48e-01 -6.8 5.82e-01 - 1.00e+00 1.00e+00h 1 3 9.5252729e-01 4.30e-02 5.03e-01 -2.6 7.84e-01 - 9.95e-01 1.00e+00h 1 4 5.1212396e-01 5.54e-02 9.50e-01 -4.2 1.18e+00 - 1.00e+00 6.85e-01h 1 5 3.9391736e-01 4.69e-01 1.13e+00 -2.2 2.27e+00 - 1.00e+00 2.07e-01h 1 6 5.1846953e-01 6.49e-02 5.53e-01 -1.9 8.69e-01 - 1.00e+00 4.80e-01h 1 7 5.4557200e-01 6.15e-03 2.98e-01 -2.1 4.21e-01 - 1.00e+00 9.90e-01h 1 8 5.4591049e-01 0.00e+00 9.06e-03 -3.9 5.29e-03 - 1.00e+00 1.00e+00h 1 9 5.4435013e-01 0.00e+00 3.03e-03 -5.4 2.19e-03 - 1.00e+00 9.98e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 5.4433113e-01 0.00e+00 1.60e-05 -7.2 2.40e-05 - 1.00e+00 9.98e-01h 1 11 5.4433104e-01 0.00e+00 6.93e-08 -11.0 1.61e-07 - 1.00e+00 1.00e+00h 1 12 5.4433104e-01 0.00e+00 4.71e-12 -11.0 5.58e-12 - 1.00e+00 1.00e+00h 1 Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 5.4433104478623073e-01 5.4433104478623073e-01 Dual infeasibility......: 4.7062354013860386e-12 4.7062354013860386e-12 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 1.0000000274257271e-11 1.0000000274257271e-11 Overall NLP error.......: 1.0000000274257271e-11 1.0000000274257271e-11 Number of objective function evaluations = 13 Number of objective gradient evaluations = 13 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 13 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 13 Number of Lagrangian Hessian evaluations = 0 Total seconds in IPOPT = 0.019 EXIT: Optimal Solution Found. Status of relaxation: LOCALLY_SOLVED Time for relaxation: 0.3726351261138916 Relaxation Obj: 0.5443310447862307 Obj: 0.5443310447862307 Infinite upper bound: Error During Test at /home/pkgeval/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:83 Got exception outside of a @test UndefVarError: `JuniperIpoptResult` not defined in `NonconvexJuniper` Suggestion: define the const at top-level before running function that uses it (stricter Julia v1.12+ rule). Note: the binding state changed since the error occurred (was: 11, now: 0). Stacktrace: [1] #s27#1 @ ~/.julia/packages/ConstructionBase/Am9w7/src/ConstructionBase.jl:30 [inlined] [2] var"#s27#1"(T::Any, ::Any, ::Any) @ ConstructionBase ./none:0 [3] (::Core.GeneratedFunctionStub)(::UInt64, ::Method, ::Any, ::Vararg{Any}) @ Base ./expr.jl:1828 [4] setproperties_object(obj::NonconvexJuniper.JuniperIpoptResult{Vector{Float64}, Float64, NonconvexCore.JuMPProblem{NonconvexCore.JuMPEvaluator{Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}, NonconvexCore.var"#eval_g#get_jump_problem##3"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#43#44"}, Float64}, NonconvexCore.IneqConstraint{FunctionWrapper{var"#45#46"}, Float64}}}, Nothing}, NonconvexCore.var"#eval_grad_f#get_jump_problem##4"{NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}}, NonconvexCore.var"#eval_jac_g#get_jump_problem##6"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#43#44"}, Float64}, NonconvexCore.IneqConstraint{FunctionWrapper{var"#45#46"}, Float64}}}, Nothing}, NonconvexCore.var"#jac_structure#get_jump_problem##5"{Int64}, NonconvexCore.var"#get_jump_problem##7#get_jump_problem##8", NonconvexCore.var"#get_jump_problem##9#get_jump_problem##10"}, JuMP.Model, Vector{MathOptInterface.VariableIndex}}, Tuple{MathOptInterface.TerminationStatusCode, MathOptInterface.ResultStatusCode}, Int64}, patch::@NamedTuple{minimizer::Vector{Float64}}) @ ConstructionBase ~/.julia/packages/ConstructionBase/Am9w7/src/ConstructionBase.jl:219 [5] setproperties(obj::NonconvexJuniper.JuniperIpoptResult{Vector{Float64}, Float64, NonconvexCore.JuMPProblem{NonconvexCore.JuMPEvaluator{Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}, NonconvexCore.var"#eval_g#get_jump_problem##3"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#43#44"}, Float64}, NonconvexCore.IneqConstraint{FunctionWrapper{var"#45#46"}, Float64}}}, Nothing}, NonconvexCore.var"#eval_grad_f#get_jump_problem##4"{NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}}, NonconvexCore.var"#eval_jac_g#get_jump_problem##6"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#43#44"}, Float64}, NonconvexCore.IneqConstraint{FunctionWrapper{var"#45#46"}, Float64}}}, Nothing}, NonconvexCore.var"#jac_structure#get_jump_problem##5"{Int64}, NonconvexCore.var"#get_jump_problem##7#get_jump_problem##8", NonconvexCore.var"#get_jump_problem##9#get_jump_problem##10"}, JuMP.Model, Vector{MathOptInterface.VariableIndex}}, Tuple{MathOptInterface.TerminationStatusCode, MathOptInterface.ResultStatusCode}, Int64}, patch::@NamedTuple{minimizer::Vector{Float64}}) @ ConstructionBase ~/.julia/packages/ConstructionBase/Am9w7/src/ConstructionBase.jl:133 [6] set @ ~/.julia/packages/Setfield/ZezIj/src/lens.jl:122 [inlined] [7] macro expansion @ ~/.julia/packages/Setfield/ZezIj/src/sugar.jl:198 [inlined] [8] optimize(::Model{Vector{Any}}, ::JuniperIpoptAlg, ::Vector{Float64}; kwargs::@Kwargs{options::JuniperIpoptOptions{@NamedTuple{}, IpoptOptions{@NamedTuple{hessian_approximation::String, jac_c_constant::String, jac_d_constant::String, sparse::Bool, symbolic::Bool}}, Bool}}) @ NonconvexCore ~/.julia/packages/NonconvexCore/TFoWG/src/common.jl:244 [9] kwcall(::@NamedTuple{options::JuniperIpoptOptions{@NamedTuple{}, IpoptOptions{@NamedTuple{hessian_approximation::String, jac_c_constant::String, jac_d_constant::String, sparse::Bool, symbolic::Bool}}, Bool}}, ::typeof(optimize), ::Model{Vector{Any}}, ::JuniperIpoptAlg, ::Vector{Float64}) @ NonconvexCore ~/.julia/packages/NonconvexCore/TFoWG/src/common.jl:234 [10] top-level scope @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:2057 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2033 [inlined] [12] macro expansion @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:83 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [14] macro expansion @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:84 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [16] macro expansion @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:90 [inlined] [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [18] top-level scope @ none:6 [19] eval(m::Module, e::Any) @ Core ./boot.jl:489 [20] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [21] _start() @ Base ./client.jl:577 nl_solver : MathOptInterface.OptimizerWithAttributes(IpoptMathOptInterfaceExt.Optimizer, Pair{MathOptInterface.AbstractOptimizerAttribute, Any}[MathOptInterface.RawOptimizerAttribute("jac_c_constant") => "no", MathOptInterface.RawOptimizerAttribute("hessian_approximation") => "limited-memory", MathOptInterface.RawOptimizerAttribute("jac_d_constant") => "no"]) feasibility_pump : false log_levels : [:Options, :Table, :Info] #Variables: 2 #IntBinVar: 0 Obj Sense: Min This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.1. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 4 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 2 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 2 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 2 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.5313393e+00 1.27e+01 1.02e+00 0.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.4690145e+00 3.32e+00 2.50e-01 -5.3 3.53e-01 - 9.52e-01 1.00e+00h 1 2 1.0730106e+00 8.85e-01 3.93e-01 -1.8 1.01e+00 - 9.48e-01 1.00e+00h 1 3 3.9950642e-01 2.19e-01 1.15e+00 -3.1 1.57e+00 - 9.93e-01 7.20e-01h 1 4 1.3885368e-01 1.46e+00 3.35e+00 -1.2 5.11e+00 - 1.00e+00 2.08e-01f 1 5 3.1878883e-01 4.30e-01 2.51e+00 -0.7 3.88e+00 - 1.00e+00 2.56e-01f 2 6 5.5694773e-01 3.87e-02 8.73e-01 -1.3 1.01e+00 - 1.00e+00 9.84e-01h 1 7 5.6054691e-01 0.00e+00 7.86e-02 -3.3 2.03e-02 - 1.00e+00 1.00e+00h 1 8 5.4533935e-01 4.78e-05 4.17e-02 -4.0 2.38e-02 - 1.00e+00 1.00e+00h 1 9 5.4433825e-01 6.17e-06 4.41e-03 -5.6 1.77e-03 - 1.00e+00 9.61e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 5.4433111e-01 0.00e+00 1.25e-05 -7.5 1.72e-05 - 1.00e+00 9.97e-01h 1 11 5.4433104e-01 0.00e+00 7.49e-08 -11.0 1.02e-07 - 1.00e+00 1.00e+00h 1 12 5.4433104e-01 0.00e+00 3.54e-12 -11.0 5.00e-12 - 1.00e+00 1.00e+00h 1 Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 5.4433104478623073e-01 5.4433104478623073e-01 Dual infeasibility......: 3.5390579355976115e-12 3.5390579355976115e-12 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 1.0000000288335918e-11 1.0000000288335918e-11 Overall NLP error.......: 1.0000000288335918e-11 1.0000000288335918e-11 Number of objective function evaluations = 17 Number of objective gradient evaluations = 13 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 17 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 13 Number of Lagrangian Hessian evaluations = 0 Total seconds in IPOPT = 0.233 EXIT: Optimal Solution Found. Incumbent using start values: 0.5443310447862307 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.1. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 4 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 2 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 2 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 2 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.5313393e+00 1.27e+01 1.02e+00 0.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.4690145e+00 3.32e+00 2.50e-01 -5.3 3.53e-01 - 9.52e-01 1.00e+00h 1 2 1.0730106e+00 8.85e-01 3.93e-01 -1.8 1.01e+00 - 9.48e-01 1.00e+00h 1 3 3.9950642e-01 2.19e-01 1.15e+00 -3.1 1.57e+00 - 9.93e-01 7.20e-01h 1 4 1.3885368e-01 1.46e+00 3.35e+00 -1.2 5.11e+00 - 1.00e+00 2.08e-01f 1 5 3.1878883e-01 4.30e-01 2.51e+00 -0.7 3.88e+00 - 1.00e+00 2.56e-01f 2 6 5.5694773e-01 3.87e-02 8.73e-01 -1.3 1.01e+00 - 1.00e+00 9.84e-01h 1 7 5.6054691e-01 0.00e+00 7.86e-02 -3.3 2.03e-02 - 1.00e+00 1.00e+00h 1 8 5.4533935e-01 4.78e-05 4.17e-02 -4.0 2.38e-02 - 1.00e+00 1.00e+00h 1 9 5.4433825e-01 6.17e-06 4.41e-03 -5.6 1.77e-03 - 1.00e+00 9.61e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 5.4433111e-01 0.00e+00 1.25e-05 -7.5 1.72e-05 - 1.00e+00 9.97e-01h 1 11 5.4433104e-01 0.00e+00 7.49e-08 -11.0 1.02e-07 - 1.00e+00 1.00e+00h 1 12 5.4433104e-01 0.00e+00 3.54e-12 -11.0 5.00e-12 - 1.00e+00 1.00e+00h 1 Number of Iterations....: 12 (scaled) (unscaled) Objective...............: 5.4433104478623073e-01 5.4433104478623073e-01 Dual infeasibility......: 3.5390579355976115e-12 3.5390579355976115e-12 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 1.0000000288335918e-11 1.0000000288335918e-11 Overall NLP error.......: 1.0000000288335918e-11 1.0000000288335918e-11 Number of objective function evaluations = 17 Number of objective gradient evaluations = 13 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 17 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 13 Number of Lagrangian Hessian evaluations = 0 Total seconds in IPOPT = 0.019 EXIT: Optimal Solution Found. Status of relaxation: LOCALLY_SOLVED Time for relaxation: 0.4016430377960205 Relaxation Obj: 0.5443310447862307 Obj: 0.5443310447862307 Infinite lower bound: Error During Test at /home/pkgeval/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:103 Got exception outside of a @test UndefVarError: `JuniperIpoptResult` not defined in `NonconvexJuniper` Suggestion: define the const at top-level before running function that uses it (stricter Julia v1.12+ rule). Note: the binding state changed since the error occurred (was: 11, now: 0). Stacktrace: [1] #s27#1 @ ~/.julia/packages/ConstructionBase/Am9w7/src/ConstructionBase.jl:30 [inlined] [2] var"#s27#1"(T::Any, ::Any, ::Any) @ ConstructionBase ./none:0 [3] (::Core.GeneratedFunctionStub)(::UInt64, ::Method, ::Any, ::Vararg{Any}) @ Base ./expr.jl:1828 [4] setproperties_object(obj::NonconvexJuniper.JuniperIpoptResult{Vector{Float64}, Float64, NonconvexCore.JuMPProblem{NonconvexCore.JuMPEvaluator{Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}, NonconvexCore.var"#eval_g#get_jump_problem##3"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#47#48"}, Float64}, NonconvexCore.IneqConstraint{FunctionWrapper{var"#49#50"}, Float64}}}, Nothing}, NonconvexCore.var"#eval_grad_f#get_jump_problem##4"{NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}}, NonconvexCore.var"#eval_jac_g#get_jump_problem##6"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#47#48"}, Float64}, NonconvexCore.IneqConstraint{FunctionWrapper{var"#49#50"}, Float64}}}, Nothing}, NonconvexCore.var"#jac_structure#get_jump_problem##5"{Int64}, NonconvexCore.var"#get_jump_problem##7#get_jump_problem##8", NonconvexCore.var"#get_jump_problem##9#get_jump_problem##10"}, JuMP.Model, Vector{MathOptInterface.VariableIndex}}, Tuple{MathOptInterface.TerminationStatusCode, MathOptInterface.ResultStatusCode}, Int64}, patch::@NamedTuple{minimizer::Vector{Float64}}) @ ConstructionBase ~/.julia/packages/ConstructionBase/Am9w7/src/ConstructionBase.jl:219 [5] setproperties(obj::NonconvexJuniper.JuniperIpoptResult{Vector{Float64}, Float64, NonconvexCore.JuMPProblem{NonconvexCore.JuMPEvaluator{Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}, NonconvexCore.var"#eval_g#get_jump_problem##3"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#47#48"}, Float64}, NonconvexCore.IneqConstraint{FunctionWrapper{var"#49#50"}, Float64}}}, Nothing}, NonconvexCore.var"#eval_grad_f#get_jump_problem##4"{NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}}, NonconvexCore.var"#eval_jac_g#get_jump_problem##6"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#47#48"}, Float64}, NonconvexCore.IneqConstraint{FunctionWrapper{var"#49#50"}, Float64}}}, Nothing}, NonconvexCore.var"#jac_structure#get_jump_problem##5"{Int64}, NonconvexCore.var"#get_jump_problem##7#get_jump_problem##8", NonconvexCore.var"#get_jump_problem##9#get_jump_problem##10"}, JuMP.Model, Vector{MathOptInterface.VariableIndex}}, Tuple{MathOptInterface.TerminationStatusCode, MathOptInterface.ResultStatusCode}, Int64}, patch::@NamedTuple{minimizer::Vector{Float64}}) @ ConstructionBase ~/.julia/packages/ConstructionBase/Am9w7/src/ConstructionBase.jl:133 [6] set @ ~/.julia/packages/Setfield/ZezIj/src/lens.jl:122 [inlined] [7] macro expansion @ ~/.julia/packages/Setfield/ZezIj/src/sugar.jl:198 [inlined] [8] optimize(::Model{Vector{Any}}, ::JuniperIpoptAlg, ::Vector{Float64}; kwargs::@Kwargs{options::JuniperIpoptOptions{@NamedTuple{}, IpoptOptions{@NamedTuple{hessian_approximation::String, jac_c_constant::String, jac_d_constant::String, sparse::Bool, symbolic::Bool}}, Bool}}) @ NonconvexCore ~/.julia/packages/NonconvexCore/TFoWG/src/common.jl:244 [9] kwcall(::@NamedTuple{options::JuniperIpoptOptions{@NamedTuple{}, IpoptOptions{@NamedTuple{hessian_approximation::String, jac_c_constant::String, jac_d_constant::String, sparse::Bool, symbolic::Bool}}, Bool}}, ::typeof(optimize), ::Model{Vector{Any}}, ::JuniperIpoptAlg, ::Vector{Float64}) @ NonconvexCore ~/.julia/packages/NonconvexCore/TFoWG/src/common.jl:234 [10] top-level scope @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:2057 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2033 [inlined] [12] macro expansion @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:83 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [14] macro expansion @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:104 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [16] macro expansion @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:110 [inlined] [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [18] top-level scope @ none:6 [19] eval(m::Module, e::Any) @ Core ./boot.jl:489 [20] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [21] _start() @ Base ./client.jl:577 nl_solver : MathOptInterface.OptimizerWithAttributes(IpoptMathOptInterfaceExt.Optimizer, Pair{MathOptInterface.AbstractOptimizerAttribute, Any}[MathOptInterface.RawOptimizerAttribute("jac_c_constant") => "no", MathOptInterface.RawOptimizerAttribute("hessian_approximation") => "limited-memory", MathOptInterface.RawOptimizerAttribute("jac_d_constant") => "no"]) feasibility_pump : false log_levels : [:Options, :Table, :Info] #Variables: 2 #IntBinVar: 0 Obj Sense: Min This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.1. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 4 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 2 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 2 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.5313393e+00 1.27e+01 9.97e-01 0.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.4629199e+00 3.33e+00 2.20e-01 -5.9 3.53e-01 - 1.00e+00 1.00e+00h 1 2 9.0633301e-01 0.00e+00 4.67e-01 -1.5 3.32e+00 - 1.00e+00 1.00e+00f 1 3 6.0440883e-01 1.57e-02 4.83e-01 -0.6 2.83e+00 - 1.00e+00 1.00e+00h 1 4 6.0956472e-01 2.33e-01 7.42e-01 -0.9 6.38e-01 - 1.00e+00 7.71e-01h 1 5 5.3465681e-01 1.44e-02 3.56e-01 -1.6 2.39e-01 - 1.00e+00 9.80e-01h 1 6 5.5531677e-01 4.24e-03 4.13e-02 -1.9 8.60e-02 - 1.00e+00 9.48e-01h 1 7 5.4465719e-01 2.02e-04 2.91e-02 -8.2 2.04e-02 - 1.00e+00 1.00e+00h 1 8 5.4433569e-01 0.00e+00 1.14e-03 -5.5 7.03e-04 - 1.00e+00 9.87e-01h 1 9 5.4433105e-01 0.00e+00 9.69e-06 -11.0 7.11e-06 - 1.00e+00 9.99e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 5.4433104e-01 0.00e+00 3.91e-08 -11.0 2.19e-08 - 1.00e+00 1.00e+00h 1 11 5.4433104e-01 0.00e+00 1.61e-12 -11.0 8.27e-13 - 1.00e+00 1.00e+00h 1 Number of Iterations....: 11 (scaled) (unscaled) Objective...............: 5.4433104478623073e-01 5.4433104478623073e-01 Dual infeasibility......: 1.6078249842621517e-12 1.6078249842621517e-12 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 1.0000000038739021e-11 1.0000000038739021e-11 Overall NLP error.......: 1.0000000038739021e-11 1.0000000038739021e-11 Number of objective function evaluations = 12 Number of objective gradient evaluations = 12 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 12 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 12 Number of Lagrangian Hessian evaluations = 0 Total seconds in IPOPT = 0.234 EXIT: Optimal Solution Found. Incumbent using start values: 0.5443310447862307 This is Ipopt version 3.14.19, running with linear solver MUMPS 5.8.1. Number of nonzeros in equality constraint Jacobian...: 0 Number of nonzeros in inequality constraint Jacobian.: 4 Number of nonzeros in Lagrangian Hessian.............: 0 Total number of variables............................: 2 variables with only lower bounds: 0 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 0 Total number of inequality constraints...............: 2 inequality constraints with only lower bounds: 0 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 2 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.5313393e+00 1.27e+01 9.97e-01 0.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.4629199e+00 3.33e+00 2.20e-01 -5.9 3.53e-01 - 1.00e+00 1.00e+00h 1 2 9.0633301e-01 0.00e+00 4.67e-01 -1.5 3.32e+00 - 1.00e+00 1.00e+00f 1 3 6.0440883e-01 1.57e-02 4.83e-01 -0.6 2.83e+00 - 1.00e+00 1.00e+00h 1 4 6.0956472e-01 2.33e-01 7.42e-01 -0.9 6.38e-01 - 1.00e+00 7.71e-01h 1 5 5.3465681e-01 1.44e-02 3.56e-01 -1.6 2.39e-01 - 1.00e+00 9.80e-01h 1 6 5.5531677e-01 4.24e-03 4.13e-02 -1.9 8.60e-02 - 1.00e+00 9.48e-01h 1 7 5.4465719e-01 2.02e-04 2.91e-02 -8.2 2.04e-02 - 1.00e+00 1.00e+00h 1 8 5.4433569e-01 0.00e+00 1.14e-03 -5.5 7.03e-04 - 1.00e+00 9.87e-01h 1 9 5.4433105e-01 0.00e+00 9.69e-06 -11.0 7.11e-06 - 1.00e+00 9.99e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 5.4433104e-01 0.00e+00 3.91e-08 -11.0 2.19e-08 - 1.00e+00 1.00e+00h 1 11 5.4433104e-01 0.00e+00 1.61e-12 -11.0 8.27e-13 - 1.00e+00 1.00e+00h 1 Number of Iterations....: 11 (scaled) (unscaled) Objective...............: 5.4433104478623073e-01 5.4433104478623073e-01 Dual infeasibility......: 1.6078249842621517e-12 1.6078249842621517e-12 Constraint violation....: 0.0000000000000000e+00 0.0000000000000000e+00 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 1.0000000038739021e-11 1.0000000038739021e-11 Overall NLP error.......: 1.0000000038739021e-11 1.0000000038739021e-11 Number of objective function evaluations = 12 Number of objective gradient evaluations = 12 Number of equality constraint evaluations = 0 Number of inequality constraint evaluations = 12 Number of equality constraint Jacobian evaluations = 0 Number of inequality constraint Jacobian evaluations = 12 Number of Lagrangian Hessian evaluations = 0 Total seconds in IPOPT = 0.020 EXIT: Optimal Solution Found. Status of relaxation: LOCALLY_SOLVED Time for relaxation: 0.3981490135192871 Relaxation Obj: 0.5443310447862307 Obj: 0.5443310447862307 Infinite upper and lower bound: Error During Test at /home/pkgeval/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:114 Got exception outside of a @test UndefVarError: `JuniperIpoptResult` not defined in `NonconvexJuniper` Suggestion: define the const at top-level before running function that uses it (stricter Julia v1.12+ rule). Note: the binding state changed since the error occurred (was: 11, now: 0). Stacktrace: [1] #s27#1 @ ~/.julia/packages/ConstructionBase/Am9w7/src/ConstructionBase.jl:30 [inlined] [2] var"#s27#1"(T::Any, ::Any, ::Any) @ ConstructionBase ./none:0 [3] (::Core.GeneratedFunctionStub)(::UInt64, ::Method, ::Any, ::Vararg{Any}) @ Base ./expr.jl:1828 [4] setproperties_object(obj::NonconvexJuniper.JuniperIpoptResult{Vector{Float64}, Float64, NonconvexCore.JuMPProblem{NonconvexCore.JuMPEvaluator{Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}, NonconvexCore.var"#eval_g#get_jump_problem##3"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#51#52"}, Float64}, NonconvexCore.IneqConstraint{FunctionWrapper{var"#53#54"}, Float64}}}, Nothing}, NonconvexCore.var"#eval_grad_f#get_jump_problem##4"{NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}}, NonconvexCore.var"#eval_jac_g#get_jump_problem##6"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#51#52"}, Float64}, NonconvexCore.IneqConstraint{FunctionWrapper{var"#53#54"}, Float64}}}, Nothing}, NonconvexCore.var"#jac_structure#get_jump_problem##5"{Int64}, NonconvexCore.var"#get_jump_problem##7#get_jump_problem##8", NonconvexCore.var"#get_jump_problem##9#get_jump_problem##10"}, JuMP.Model, Vector{MathOptInterface.VariableIndex}}, Tuple{MathOptInterface.TerminationStatusCode, MathOptInterface.ResultStatusCode}, Int64}, patch::@NamedTuple{minimizer::Vector{Float64}}) @ ConstructionBase ~/.julia/packages/ConstructionBase/Am9w7/src/ConstructionBase.jl:219 [5] setproperties(obj::NonconvexJuniper.JuniperIpoptResult{Vector{Float64}, Float64, NonconvexCore.JuMPProblem{NonconvexCore.JuMPEvaluator{Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, Vector{Float64}, NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}, NonconvexCore.var"#eval_g#get_jump_problem##3"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#51#52"}, Float64}, NonconvexCore.IneqConstraint{FunctionWrapper{var"#53#54"}, Float64}}}, Nothing}, NonconvexCore.var"#eval_grad_f#get_jump_problem##4"{NonconvexCore.CountingFunction{NonconvexCore.Objective{typeof(f), Base.RefValue{Float64}}}}, NonconvexCore.var"#eval_jac_g#get_jump_problem##6"{NonconvexCore.VectorOfFunctions{Tuple{NonconvexCore.IneqConstraint{FunctionWrapper{var"#51#52"}, Float64}, NonconvexCore.IneqConstraint{FunctionWrapper{var"#53#54"}, Float64}}}, Nothing}, NonconvexCore.var"#jac_structure#get_jump_problem##5"{Int64}, NonconvexCore.var"#get_jump_problem##7#get_jump_problem##8", NonconvexCore.var"#get_jump_problem##9#get_jump_problem##10"}, JuMP.Model, Vector{MathOptInterface.VariableIndex}}, Tuple{MathOptInterface.TerminationStatusCode, MathOptInterface.ResultStatusCode}, Int64}, patch::@NamedTuple{minimizer::Vector{Float64}}) @ ConstructionBase ~/.julia/packages/ConstructionBase/Am9w7/src/ConstructionBase.jl:133 [6] set @ ~/.julia/packages/Setfield/ZezIj/src/lens.jl:122 [inlined] [7] macro expansion @ ~/.julia/packages/Setfield/ZezIj/src/sugar.jl:198 [inlined] [8] optimize(::Model{Vector{Any}}, ::JuniperIpoptAlg, ::Vector{Float64}; kwargs::@Kwargs{options::JuniperIpoptOptions{@NamedTuple{}, IpoptOptions{@NamedTuple{hessian_approximation::String, jac_c_constant::String, jac_d_constant::String, sparse::Bool, symbolic::Bool}}, Bool}}) @ NonconvexCore ~/.julia/packages/NonconvexCore/TFoWG/src/common.jl:244 [9] kwcall(::@NamedTuple{options::JuniperIpoptOptions{@NamedTuple{}, IpoptOptions{@NamedTuple{hessian_approximation::String, jac_c_constant::String, jac_d_constant::String, sparse::Bool, symbolic::Bool}}, Bool}}, ::typeof(optimize), ::Model{Vector{Any}}, ::JuniperIpoptAlg, ::Vector{Float64}) @ NonconvexCore ~/.julia/packages/NonconvexCore/TFoWG/src/common.jl:234 [10] top-level scope @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:2057 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2033 [inlined] [12] macro expansion @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:83 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [14] macro expansion @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:115 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1952 [inlined] [16] macro expansion @ ~/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:121 [inlined] [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [18] top-level scope @ none:6 [19] eval(m::Module, e::Any) @ Core ./boot.jl:489 [20] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [21] _start() @ Base ./client.jl:577 Test Summary: | Error Total Time First order - true | 6 6 4m10.6s Simple constraints | 1 1 3m36.9s Equality constraints | 1 1 0.4s Block constraints | 1 1 8.3s Infinite bounds | 3 3 25.0s Infinite upper bound | 1 1 8.1s Infinite lower bound | 1 1 8.7s Infinite upper and lower bound | 1 1 8.2s RNG of the outermost testset: Random.Xoshiro(0x81e633d657ff005d, 0x21381d3073eefeaf, 0x31711280acd49244, 0xead9df2efb23c4d3, 0x48b90233f1ed3983) ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 6 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/NonconvexJuniper/7AcRL/test/runtests.jl:6 Testing failed after 423.61s ERROR: LoadError: Package NonconvexJuniper 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:2673 [3] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2522 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:538 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:515 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:168 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:157 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:156 [9] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:156 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:155 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [12] include(mod::Module, _path::String) @ Base ./Base.jl:309 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [14] _start() @ Base ./client.jl:577 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 1540.11s: package tests unexpectedly errored