Package evaluation to test MultiObjectiveAlgorithms on Julia 1.12.7-DEV.42 (6f510b6086*) started at 2026-06-19T16:22:05.086 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.12` Set-up completed after 8.43s ################################################################################ # Installation # Installing MultiObjectiveAlgorithms... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [0327d340] + MultiObjectiveAlgorithms v1.11.0 Updating `~/.julia/environments/v1.12/Manifest.toml` [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [861a8166] + Combinatorics v1.1.0 [bbf7d656] + CommonSubexpressions v0.3.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [ffbed154] + DocStringExtensions v0.9.5 [f6369f11] + ForwardDiff v1.4.1 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.8.0 [682c06a0] + JSON v1.6.1 [2ab3a3ac] + LogExpFunctions v1.0.1 [1914dd2f] + MacroTools v0.5.16 [b8f27783] + MathOptInterface v1.51.1 [0327d340] + MultiObjectiveAlgorithms v1.11.0 [d8a4904e] + MutableArithmetics v1.8.0 [77ba4419] + NaNMath v1.1.4 ⌅ [bac558e1] + OrderedCollections v1.8.2 [69de0a69] + Parsers v2.8.6 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [276daf66] + SpecialFunctions v2.8.0 [1e83bf80] + StaticArraysCore v1.4.4 [ec057cc2] + StructUtils v2.8.2 [3bb67fe8] + TranscodingStreams v0.11.3 [6e34b625] + Bzip2_jll v1.0.9+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.15.0+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 6.23s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 7482.3 ms ✓ MultiObjectiveAlgorithms 25694.3 ms ✓ MultiObjectiveAlgorithms → MultiObjectiveAlgorithmsPolyhedraExt 2 dependencies successfully precompiled in 35 seconds. 87 already precompiled. 24 dependencies precompiled but different versions are currently loaded (ArgTools, Base64, Dates, Downloads, JuliaSyntaxHighlighting, LibCURL, LibCURL_jll, LibGit2, LibGit2_jll, LibSSH2_jll, Logging, Markdown, MozillaCACerts_jll, NetworkOptions, OpenSSL_jll, Pkg, Printf, StyledStrings, TOML, Tar, UUIDs, Zlib_jll, nghttp2_jll and p7zip_jll). Restart julia to access the new versions. Otherwise, 45 dependents of these packages may trigger further precompilation to work with the unexpected versions. Precompilation completed after 53.88s ################################################################################ # Testing # Testing MultiObjectiveAlgorithms Status `/tmp/jl_EWwzO7/Project.toml` [861a8166] Combinatorics v1.1.0 [87dc4568] HiGHS v1.23.0 [b6b21f68] Ipopt v1.14.3 [682c06a0] JSON v1.6.1 [b8f27783] MathOptInterface v1.51.1 [0327d340] MultiObjectiveAlgorithms v1.11.0 [d3525ed8] ParallelTestRunner v2.6.2 [67491407] Polyhedra v0.8.1 [de0858da] Printf v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_EWwzO7/Manifest.toml` [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [861a8166] Combinatorics v1.1.0 [bbf7d656] CommonSubexpressions v0.3.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.16.0 [ffbed154] DocStringExtensions v0.9.5 [f6369f11] ForwardDiff v1.4.1 ⌅ [14197337] GenericLinearAlgebra v0.3.19 [87dc4568] HiGHS v1.23.0 [b5f81e59] IOCapture v1.0.0 [b6b21f68] Ipopt v1.14.3 [92d709cd] IrrationalConstants v0.2.6 [692b3bcd] JLLWrappers v1.8.0 [682c06a0] JSON v1.6.1 [2ab3a3ac] LogExpFunctions v1.0.1 [1914dd2f] MacroTools v0.5.16 [36869731] Malt v1.4.1 [8c4f8055] MathOptIIS v0.2.0 [b8f27783] MathOptInterface v1.51.1 [0327d340] MultiObjectiveAlgorithms v1.11.0 [d8a4904e] MutableArithmetics v1.8.0 [77ba4419] NaNMath v1.1.4 ⌅ [bac558e1] OrderedCollections v1.8.2 [d3525ed8] ParallelTestRunner v2.6.2 [69de0a69] Parsers v2.8.6 [67491407] Polyhedra v0.8.1 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [05181044] RelocatableFolders v1.0.1 [6c6a2e73] Scratch v1.3.0 [276daf66] SpecialFunctions v2.8.0 [90137ffa] StaticArrays v1.9.18 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [ec057cc2] StructUtils v2.8.2 [3bb67fe8] TranscodingStreams v0.11.3 [ae81ac8f] ASL_jll v0.1.3+0 [6e34b625] Bzip2_jll v1.0.9+0 [8fd58aa0] HiGHS_jll v1.14.0+0 [e33a78d0] Hwloc_jll v2.14.0+0 ⌅ [9cc047cb] Ipopt_jll v300.1400.1901+0 [94ce4f54] Libiconv_jll v1.18.0+0 [d00139f3] METIS_jll v5.1.3+0 ⌅ [d7ed1dd3] MUMPS_seq_jll v500.800.200+0 [656ef2d0] OpenBLAS32_jll v0.3.33+1 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [319450e9] SPRAL_jll v2025.9.18+0 ⌅ [02c8fc9c] XML2_jll v2.13.9+0 [a65dc6b1] Xorg_libpciaccess_jll v0.19.0+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 [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 v1.12.1 [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 [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.15.0+0 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.11.4 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.6+0 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.64.0+1 [3f19e933] p7zip_jll v17.7.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Running 12 tests using 1 parallel jobs. If this is too many concurrent jobs, specify the `--jobs=N` argument to the tests, or set the `JULIA_CPU_THREADS` environment variable. │ Test │ ──────────────── CPU ──────────────── │ Test (Worker) │ time (s) │ GC (s) │ GC % │ Alloc (MB) │ RSS (MB) │ /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_Dichotomy.jl (1) │ 191.74 │ 1.82 │ 0.9 │ 2525.53 │ 683.53 │ /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_Lexicographic.jl (1) │ 19.55 │ 0.07 │ 0.4 │ 453.61 │ 787.51 │ /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_RandomWeighting.jl (1) │ 6.71 │ 0.00 │ 0.0 │ 129.39 │ 787.51 │ /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_EpsilonConstraint.jl (1) │ 234.80 │ 0.72 │ 0.3 │ 2024.26 │ 851.56 │ /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/test_model.jl (1) │ crashed at 2026-06-19T16:38:38.064 /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_Sandwiching.jl (2) │ 109.09 │ 1.93 │ 1.8 │ 2652.60 │ 878.32 │ /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_DominguezRios.jl (2) │ 557.07 │ 1.37 │ 0.2 │ 3080.09 │ 920.90 │ /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_TambyVanderpooten.jl (2) │ 212.33 │ 0.21 │ 0.1 │ 595.40 │ 945.27 │ /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_KirlikSayin.jl (2) │ 178.61 │ 0.09 │ 0.0 │ 670.78 │ 954.25 │ /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/test_utilities.jl (2) │ 5.63 │ 0.00 │ 0.0 │ 94.10 │ 954.25 │ /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_Hierarchical.jl (2) │ 8.89 │ 0.00 │ 0.0 │ 261.29 │ 954.25 │ /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_Chalmet.jl (2) │ 12.26 │ 0.00 │ 0.0 │ 221.03 │ 954.25 │ Output generated during execution of '/home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_Dichotomy.jl': ┌ Precompiling packages... │ 1636.5 ms ✓ Ipopt │ 1 dependency successfully precompiled in 2 seconds. 39 already precompiled. │ 15 dependencies precompiled but different versions are currently loaded (Base64, CompilerSupportLibraries_jll, Dates, JLLWrappers, JuliaSyntaxHighlighting, Logging, Markdown, OpenBLAS32_jll, PrecompileTools, Preferences, Printf, StyledStrings, TOML, UUIDs and Zlib_jll). Restart julia to access the new versions. Otherwise, 16 dependents of these packages may trigger further precompilation to work with the unexpected versions. │ Precompiling packages... │ 53385.7 ms ✓ Ipopt → IpoptMathOptInterfaceExt │ 1 dependency successfully precompiled in 54 seconds. 69 already precompiled. │ 54 dependencies precompiled but different versions are currently loaded (ASL_jll, Base64, Bzip2_jll, CodecBzip2, CodecZlib, CommonSubexpressions, CompilerSupportLibraries_jll, Dates, DiffResults, DiffRules, DocStringExtensions, ForwardDiff, Hwloc_jll, InteractiveUtils, Ipopt, Ipopt_jll, IrrationalConstants, JLLWrappers, JSON, JuliaSyntaxHighlighting, Libiconv_jll, LogExpFunctions, Logging, METIS_jll, MUMPS_seq_jll, MacroTools, Markdown, MathOptInterface, MutableArithmetics, NaNMath, OpenBLAS32_jll, OpenLibm_jll, OpenSpecFun_jll, OrderedCollections, Parsers, PrecompileTools, Preferences, Printf, SPRAL_jll, Serialization, SparseArrays, SpecialFunctions, StaticArraysCore, StructUtils, StructUtils → StructUtilsStaticArraysCoreExt, StyledStrings, SuiteSparse_jll, TOML, Test, TranscodingStreams, UUIDs, XML2_jll, Xorg_libpciaccess_jll and Zlib_jll). Restart julia to access the new versions. Otherwise, 7 dependents of these packages may trigger further precompilation to work with the unexpected versions. │ │ ****************************************************************************** │ 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 │ ****************************************************************************** │ │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: Dichotomy │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 3.85594e+00 │ Time spent in subproblems: 3.08437e+00 (80%) │ Number of subproblems: 3 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: Dichotomy │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 6.88750e+01 5.72500e+01 8.15836e+00 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 8.15853e+00 │ Time spent in subproblems: 7.75468e+00 (95%) │ Number of subproblems: 3 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: Dichotomy │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 6.88750e+01 5.72500e+01 6.39870e-02 │ 2 5.77797e+01 6.19322e+01 2.86555e-01 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 2 │ │ Total solve time: 3.58189e-01 │ Time spent in subproblems: 2.43479e-01 (68%) │ Number of subproblems: 3 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: Dichotomy │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 6.88750e+01 5.72500e+01 1.28726e-01 │ 2 5.77797e+01 6.19322e+01 3.49941e-01 │ 3 6.80000e+01 5.90000e+01 5.74619e-01 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 3 │ │ Total solve time: 5.74699e-01 │ Time spent in subproblems: 4.16806e-01 (73%) │ Number of subproblems: 4 └ ---------------------------------------------- Output generated during execution of '/home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_RandomWeighting.jl': ┌ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: RandomWeighting │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time └ ---------------------------------------------- Output generated during execution of '/home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_EpsilonConstraint.jl': ┌ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: EpsilonConstraint │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 2.23955e+00 │ Time spent in subproblems: 9.23586e-03 (0%) │ Number of subproblems: 3 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: EpsilonConstraint │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 -6.88750e+01 -5.72500e+01 3.97034e-01 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 3.97207e-01 │ Time spent in subproblems: 3.95937e-01 (100%) │ Number of subproblems: 4 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: EpsilonConstraint │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 -6.88750e+01 -5.72500e+01 2.18658e-02 │ 2 -6.88750e+01 -5.72500e+01 1.78748e-01 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 1.82011e-01 │ Time spent in subproblems: 1.33829e-01 (74%) │ Number of subproblems: 5 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: EpsilonConstraint │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 -6.88750e+01 -5.72500e+01 1.39334e-01 │ 2 -6.88750e+01 -5.72500e+01 2.82289e-01 │ 3 -5.77797e+01 -6.19322e+01 4.49679e-01 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 5.26157e-01 │ Time spent in subproblems: 3.89416e-01 (74%) │ Number of subproblems: 6 │ ---------------------------------------------- │ ------------------------------------------------------------------------ │ MultiObjectiveAlgorithms.jl │ ------------------------------------------------------------------------ │ Algorithm: EpsilonConstraint │ ------------------------------------------------------------------------ │ solve # Obj. 1 Obj. 2 Obj. 3 Obj. 4 Time └ ------------------------------------------------------------------------ Output generated during execution of '/home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/test_model.jl': ┌ Unbound or partitioned GlobalRef not allowed in value position │ Internal error: during type inference of │ test_basic_VectorNonlinearFunction_AllDifferent(MultiObjectiveAlgorithms.Optimizer, MathOptInterface.Test.Config{Float64}) │ Encountered unexpected error in runtime: │ ErrorException("IR verification failed.\n Code location: array.jl:614\n Method instance: MethodInstance for convert(::Type{Vector{MathOptInterface.ScalarNonlinearFunction}}, ::AbstractVector)") │ error at ./error.jl:54 │ unknown function (ip: 0x7830a931fc8a) at (unknown file) │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ jl_apply at /source/src/julia.h:2397 [inlined] │ jl_f_invokelatest at /source/src/builtins.c:881 │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ jl_apply at /source/src/julia.h:2397 [inlined] │ jl_f__apply_iterate at /source/src/builtins.c:868 │ raise_error at ./../usr/share/julia/Compiler/src/ssair/verify.jl:125 │ jfptr_raise_error_18716.1 at /opt/julia/lib/julia/sys.so (unknown line) │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ check_op at ./../usr/share/julia/Compiler/src/ssair/verify.jl:71 │ verify_ir at ./../usr/share/julia/Compiler/src/ssair/verify.jl:429 │ run_passes_ipo_safe at ./../usr/share/julia/Compiler/src/optimize.jl:1043 │ run_passes_ipo_safe at ./../usr/share/julia/Compiler/src/optimize.jl:1027 [inlined] │ optimize at ./../usr/share/julia/Compiler/src/optimize.jl:1002 │ jfptr_optimize_82569.1 at /opt/julia/lib/julia/sys.so (unknown line) │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ finish_nocycle at ./../usr/share/julia/Compiler/src/typeinfer.jl:202 │ jfptr_finish_nocycle_80505.1 at /opt/julia/lib/julia/sys.so (unknown line) │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ typeinf at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4588 │ typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1256 │ typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1439 [inlined] │ typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1448 │ jfptr_typeinf_ext_toplevel_82967.1 at /opt/julia/lib/julia/sys.so (unknown line) │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ jl_apply at /source/src/julia.h:2397 [inlined] │ jl_type_infer at /source/src/gf.c:466 │ jl_compile_method_internal at /source/src/gf.c:3516 │ _jl_invoke at /source/src/gf.c:4006 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ macro expansion at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Test/Test.jl:270 [inlined] │ macro expansion at /source/usr/share/julia/stdlib/v1.12/Test/src/Test.jl:1777 [inlined] │ #runtests#2 at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Test/Test.jl:265 │ runtests at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Test/Test.jl:223 [inlined] │ test_moi_runtests at /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/test_model.jl:32 │ unknown function (ip: 0x7830ba76dc2f) at (unknown file) │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ macro expansion at /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/test_model.jl:18 [inlined] │ macro expansion at /source/usr/share/julia/stdlib/v1.12/Test/src/Test.jl:1777 [inlined] │ run_tests at /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/test_model.jl:18 │ unknown function (ip: 0x7830ba75c51f) at (unknown file) │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ jl_apply at /source/src/julia.h:2397 [inlined] │ do_call at /source/src/interpreter.c:123 │ eval_value at /source/src/interpreter.c:243 │ eval_stmt_value at /source/src/interpreter.c:194 [inlined] │ eval_body at /source/src/interpreter.c:689 │ jl_interpret_toplevel_thunk at /source/src/interpreter.c:898 │ top-level scope at /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/test_model.jl:333 │ jl_toplevel_eval_flex at /source/src/toplevel.c:1035 │ jl_toplevel_eval_flex at /source/src/toplevel.c:975 │ ijl_toplevel_eval at /source/src/toplevel.c:1047 │ ijl_toplevel_eval_in at /source/src/toplevel.c:1092 │ eval at ./boot.jl:489 │ include_string at ./loading.jl:2873 │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ _include at ./loading.jl:2933 │ include at ./Base.jl:307 │ IncludeInto at ./Base.jl:308 │ jfptr_IncludeInto_53184.1 at /opt/julia/lib/julia/sys.so (unknown line) │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ macro expansion at /home/pkgeval/.julia/packages/ParallelTestRunner/kZFbj/src/ParallelTestRunner.jl:401 [inlined] │ macro expansion at /source/usr/share/julia/stdlib/v1.12/Test/src/Test.jl:1777 [inlined] │ macro expansion at /home/pkgeval/.julia/packages/ParallelTestRunner/kZFbj/src/ParallelTestRunner.jl:401 [inlined] │ macro expansion at /source/usr/share/julia/stdlib/v1.12/Test/src/Test.jl:1777 [inlined] │ macro expansion at /home/pkgeval/.julia/packages/ParallelTestRunner/kZFbj/src/ParallelTestRunner.jl:400 [inlined] │ macro expansion at ./timing.jl:697 [inlined] │ top-level scope at /home/pkgeval/.julia/packages/ParallelTestRunner/kZFbj/src/ParallelTestRunner.jl:399 │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_invoke at /source/src/gf.c:4021 │ jl_toplevel_eval_flex at /source/src/toplevel.c:1024 │ ijl_toplevel_eval at /source/src/toplevel.c:1047 │ ijl_toplevel_eval_in at /source/src/toplevel.c:1092 │ eval at ./boot.jl:489 │ execute at /home/pkgeval/.julia/packages/ParallelTestRunner/kZFbj/src/ParallelTestRunner.jl:392 │ inner at /home/pkgeval/.julia/packages/ParallelTestRunner/kZFbj/src/ParallelTestRunner.jl:429 │ runtest at /home/pkgeval/.julia/packages/ParallelTestRunner/kZFbj/src/ParallelTestRunner.jl:440 │ unknown function (ip: 0x7830ddd21521) at (unknown file) │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ jl_apply at /source/src/julia.h:2397 [inlined] │ jl_f_invokelatest at /source/src/builtins.c:881 │ #handle##0 at /home/pkgeval/.julia/packages/Malt/OteGQ/src/worker.jl:120 │ unknown function (ip: 0x7830ddd20877) at (unknown file) │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ jl_apply at /source/src/julia.h:2397 [inlined] │ start_task at /source/src/task.c:1253 │ │ [27] signal 6 (-6): Aborted │ in expression starting at /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/test_model.jl:333 │ unknown function (ip: 0x7830e6401ebc) at /lib/x86_64-linux-gnu/libc.so.6 │ gsignal at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) │ abort at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) │ jl_type_infer at /source/src/gf.c:485 │ jl_compile_method_internal at /source/src/gf.c:3516 │ _jl_invoke at /source/src/gf.c:4006 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ macro expansion at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Test/Test.jl:270 [inlined] │ macro expansion at /source/usr/share/julia/stdlib/v1.12/Test/src/Test.jl:1777 [inlined] │ #runtests#2 at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Test/Test.jl:265 │ runtests at /home/pkgeval/.julia/packages/MathOptInterface/iaRBO/src/Test/Test.jl:223 [inlined] │ test_moi_runtests at /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/test_model.jl:32 │ unknown function (ip: 0x7830ba76dc2f) at (unknown file) │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ macro expansion at /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/test_model.jl:18 [inlined] │ macro expansion at /source/usr/share/julia/stdlib/v1.12/Test/src/Test.jl:1777 [inlined] │ run_tests at /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/test_model.jl:18 │ unknown function (ip: 0x7830ba75c51f) at (unknown file) │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ jl_apply at /source/src/julia.h:2397 [inlined] │ do_call at /source/src/interpreter.c:123 │ eval_value at /source/src/interpreter.c:243 │ eval_stmt_value at /source/src/interpreter.c:194 [inlined] │ eval_body at /source/src/interpreter.c:689 │ jl_interpret_toplevel_thunk at /source/src/interpreter.c:898 │ jl_toplevel_eval_flex at /source/src/toplevel.c:1035 │ jl_toplevel_eval_flex at /source/src/toplevel.c:975 │ ijl_toplevel_eval at /source/src/toplevel.c:1047 │ ijl_toplevel_eval_in at /source/src/toplevel.c:1092 │ eval at ./boot.jl:489 │ include_string at ./loading.jl:2873 │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ _include at ./loading.jl:2933 │ include at ./Base.jl:307 │ IncludeInto at ./Base.jl:308 │ jfptr_IncludeInto_53184.1 at /opt/julia/lib/julia/sys.so (unknown line) │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ macro expansion at /home/pkgeval/.julia/packages/ParallelTestRunner/kZFbj/src/ParallelTestRunner.jl:401 [inlined] │ macro expansion at /source/usr/share/julia/stdlib/v1.12/Test/src/Test.jl:1777 [inlined] │ macro expansion at /home/pkgeval/.julia/packages/ParallelTestRunner/kZFbj/src/ParallelTestRunner.jl:401 [inlined] │ macro expansion at /source/usr/share/julia/stdlib/v1.12/Test/src/Test.jl:1777 [inlined] │ macro expansion at /home/pkgeval/.julia/packages/ParallelTestRunner/kZFbj/src/ParallelTestRunner.jl:400 [inlined] │ macro expansion at ./timing.jl:697 [inlined] │ top-level scope at /home/pkgeval/.julia/packages/ParallelTestRunner/kZFbj/src/ParallelTestRunner.jl:399 │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_invoke at /source/src/gf.c:4021 │ jl_toplevel_eval_flex at /source/src/toplevel.c:1024 │ ijl_toplevel_eval at /source/src/toplevel.c:1047 │ ijl_toplevel_eval_in at /source/src/toplevel.c:1092 │ eval at ./boot.jl:489 │ execute at /home/pkgeval/.julia/packages/ParallelTestRunner/kZFbj/src/ParallelTestRunner.jl:392 │ inner at /home/pkgeval/.julia/packages/ParallelTestRunner/kZFbj/src/ParallelTestRunner.jl:429 │ runtest at /home/pkgeval/.julia/packages/ParallelTestRunner/kZFbj/src/ParallelTestRunner.jl:440 │ unknown function (ip: 0x7830ddd21521) at (unknown file) │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ jl_apply at /source/src/julia.h:2397 [inlined] │ jl_f_invokelatest at /source/src/builtins.c:881 │ #handle##0 at /home/pkgeval/.julia/packages/Malt/OteGQ/src/worker.jl:120 │ unknown function (ip: 0x7830ddd20877) at (unknown file) │ _jl_invoke at /source/src/gf.c:4014 [inlined] │ ijl_apply_generic at /source/src/gf.c:4214 │ jl_apply at /source/src/julia.h:2397 [inlined] │ start_task at /source/src/task.c:1253 └ Allocations: 244096892 (Pool: 244095113; Big: 1779); GC: 69 Output generated during execution of '/home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_Sandwiching.jl': ┌ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: Sandwiching │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 9.06733e+00 │ Time spent in subproblems: 5.72965e+00 (63%) │ Number of subproblems: 3 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: Sandwiching │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ ┌ Warning: Unable to solve the model using the `MultiObjectiveAlgorithms.Sandwiching` algorithm because the anti-ideal point of objective 1 is not bounded above, and the algorithm requires a finitely bounded objective domain. The easiest way to fix this is to add objective 1 as a constraint with a finite upper. Alteratively, ensure that all of your decision variables have finite lower and upper bounds. │ └ @ MultiObjectiveAlgorithms ~/.julia/packages/MultiObjectiveAlgorithms/q0fOk/src/MultiObjectiveAlgorithms.jl:1087 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 1.05197e+01 │ Time spent in subproblems: 8.39028e+00 (80%) │ Number of subproblems: 3 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: Sandwiching │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 7.65196e-01 │ Time spent in subproblems: 2.21450e-01 (29%) │ Number of subproblems: 4 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: Sandwiching │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ ┌ Warning: Unable to solve the model using the `MultiObjectiveAlgorithms.Sandwiching` algorithm because the anti-ideal point of objective 2 is not bounded above, and the algorithm requires a finitely bounded objective domain. The easiest way to fix this is to add objective 2 as a constraint with a finite upper. Alteratively, ensure that all of your decision variables have finite lower and upper bounds. │ └ @ MultiObjectiveAlgorithms ~/.julia/packages/MultiObjectiveAlgorithms/q0fOk/src/MultiObjectiveAlgorithms.jl:1087 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 4.55101e-01 │ Time spent in subproblems: 4.53794e-01 (100%) │ Number of subproblems: 4 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: Sandwiching │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 2.03238e+00 │ Time spent in subproblems: 6.46894e-01 (32%) │ Number of subproblems: 5 └ ---------------------------------------------- Output generated during execution of '/home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_TambyVanderpooten.jl': ┌ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: TambyVanderpooten │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 1.35821e+00 │ Time spent in subproblems: 9.35507e-03 (1%) │ Number of subproblems: 3 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: TambyVanderpooten │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 -6.88750e+01 -5.72500e+01 1.94946e-01 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 1.95283e-01 │ Time spent in subproblems: 1.93769e-01 (99%) │ Number of subproblems: 3 │ ---------------------------------------------- │ ┌ Warning: Unable to solve the model using the `MultiObjectiveAlgorithms.TambyVanderpooten` algorithm because the anti-ideal point of objective 1 is not bounded above, and the algorithm requires a finitely bounded objective domain. The easiest way to fix this is to add objective 1 as a constraint with a finite upper. Alteratively, ensure that all of your decision variables have finite lower and upper bounds. │ └ @ MultiObjectiveAlgorithms ~/.julia/packages/MultiObjectiveAlgorithms/q0fOk/src/MultiObjectiveAlgorithms.jl:1087 │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: TambyVanderpooten │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 -6.88750e+01 -5.72500e+01 1.20027e-01 │ 2 -3.67843e+01 -4.93137e+01 3.13667e-01 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 3.55472e-01 │ Time spent in subproblems: 1.16134e-01 (33%) │ Number of subproblems: 4 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: TambyVanderpooten │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 -6.88750e+01 -5.72500e+01 1.73203e-01 │ 2 -3.67843e+01 -4.93137e+01 3.30658e-01 │ 3 -5.77797e+01 -6.19322e+01 5.74239e-01 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 5.74534e-01 │ Time spent in subproblems: 4.17260e-01 (73%) │ Number of subproblems: 4 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: TambyVanderpooten │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ ┌ Warning: Unable to solve the model using the `MultiObjectiveAlgorithms.TambyVanderpooten` algorithm because the anti-ideal point of objective 2 is not bounded above, and the algorithm requires a finitely bounded objective domain. The easiest way to fix this is to add objective 2 as a constraint with a finite upper. Alteratively, ensure that all of your decision variables have finite lower and upper bounds. │ └ @ MultiObjectiveAlgorithms ~/.julia/packages/MultiObjectiveAlgorithms/q0fOk/src/MultiObjectiveAlgorithms.jl:1087 │ 1 -6.88750e+01 -5.72500e+01 1.72419e-01 │ 2 -3.67843e+01 -4.93137e+01 3.62338e-01 │ 3 -5.77797e+01 -6.19322e+01 4.80620e-01 │ 4 -4.92857e+01 -4.27143e+01 6.50249e-01 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 6.51821e-01 │ Time spent in subproblems: 5.09866e-01 (78%) │ Number of subproblems: 5 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: TambyVanderpooten │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 -6.88750e+01 -5.72500e+01 1.94451e-01 │ 2 -3.67843e+01 -4.93137e+01 3.95466e-01 │ 3 -5.77797e+01 -6.19322e+01 6.19602e-01 │ 4 -4.92857e+01 -4.27143e+01 8.50440e-01 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 1.01516e+00 │ Time spent in subproblems: 7.87293e-01 (78%) │ Number of subproblems: 6 └ ---------------------------------------------- Output generated during execution of '/home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_KirlikSayin.jl': ┌ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: KirlikSayin │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 9.19695e-01 │ Time spent in subproblems: 9.66477e-03 (1%) │ Number of subproblems: 3 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: KirlikSayin │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 -6.88750e+01 -5.72500e+01 4.04074e-01 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 4.04368e-01 │ Time spent in subproblems: 2.12937e-01 (53%) │ Number of subproblems: 3 │ ---------------------------------------------- │ ┌ Warning: Unable to solve the model using the `MultiObjectiveAlgorithms.KirlikSayin` algorithm because the anti-ideal point of objective 1 is not bounded above, and the algorithm requires a finitely bounded objective domain. The easiest way to fix this is to add objective 1 as a constraint with a finite upper. Alteratively, ensure that all of your decision variables have finite lower and upper bounds. │ └ @ MultiObjectiveAlgorithms ~/.julia/packages/MultiObjectiveAlgorithms/q0fOk/src/MultiObjectiveAlgorithms.jl:1087 │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: KirlikSayin │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 -6.88750e+01 -5.72500e+01 5.73761e-02 │ 2 -3.67843e+01 -4.93137e+01 2.29444e-01 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 3.00809e-01 │ Time spent in subproblems: 1.32888e-01 (44%) │ Number of subproblems: 4 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: KirlikSayin │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 -6.88750e+01 -5.72500e+01 1.50864e-01 │ 2 -3.67843e+01 -4.93137e+01 2.93743e-01 │ 3 -5.77797e+01 -6.19322e+01 3.85034e-01 │ ┌ Warning: Unable to solve the model using the `MultiObjectiveAlgorithms.KirlikSayin` algorithm because the anti-ideal point of objective 2 is not bounded above, and the algorithm requires a finitely bounded objective domain. The easiest way to fix this is to add objective 2 as a constraint with a finite upper. Alteratively, ensure that all of your decision variables have finite lower and upper bounds. │ └ @ MultiObjectiveAlgorithms ~/.julia/packages/MultiObjectiveAlgorithms/q0fOk/src/MultiObjectiveAlgorithms.jl:1087 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 5.27363e-01 │ Time spent in subproblems: 3.84229e-01 (73%) │ Number of subproblems: 4 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: KirlikSayin │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 -6.88750e+01 -5.72500e+01 2.66448e-01 │ 2 -3.67843e+01 -4.93137e+01 4.97511e-01 │ 3 -5.77797e+01 -6.19322e+01 7.13580e-01 │ 4 -4.92857e+01 -4.27143e+01 9.13538e-01 │ ---------------------------------------------- │ termination_status: OPTIMAL │ result_count: 0 │ │ Total solve time: 9.17723e-01 │ Time spent in subproblems: 6.34023e-01 (69%) │ Number of subproblems: 5 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: KirlikSayin │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 -6.88750e+01 -5.72500e+01 1.76400e-01 │ 2 -3.67843e+01 -4.93137e+01 3.82874e-01 │ 3 -5.77797e+01 -6.19322e+01 5.88322e-01 │ 4 -4.92857e+01 -4.27143e+01 7.18400e-01 │ 6 subproblem not optimal 1.05320e+00 │ ---------------------------------------------- │ termination_status: OPTIMAL │ result_count: 0 │ │ Total solve time: 1.29384e+00 │ Time spent in subproblems: 5.45221e-01 (42%) │ Number of subproblems: 6 └ ---------------------------------------------- Output generated during execution of '/home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_Chalmet.jl': ┌ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: Chalmet │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 6.97068e-01 │ Time spent in subproblems: 1.05741e-02 (2%) │ Number of subproblems: 3 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: Chalmet │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 -5.77797e+01 -6.19322e+01 2.17200e-01 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 0 │ │ Total solve time: 2.17301e-01 │ Time spent in subproblems: 2.16145e-01 (99%) │ Number of subproblems: 4 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: Chalmet │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 -5.77797e+01 -6.19322e+01 1.54542e-01 │ 2 -5.77797e+01 -6.19322e+01 3.52489e-01 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 1 │ │ Total solve time: 3.55628e-01 │ Time spent in subproblems: 2.66453e-01 (75%) │ Number of subproblems: 5 │ ---------------------------------------------- │ ---------------------------------------------- │ MultiObjectiveAlgorithms.jl │ ---------------------------------------------- │ Algorithm: Chalmet │ ---------------------------------------------- │ solve # Obj. 1 Obj. 2 Time │ ---------------------------------------------- │ 1 -5.77797e+01 -6.19322e+01 1.89494e-01 │ 2 -5.77797e+01 -6.19322e+01 4.07938e-01 │ 3 -6.88750e+01 -5.72500e+01 5.98407e-01 │ ---------------------------------------------- │ termination_status: NUMERICAL_ERROR │ result_count: 1 │ │ Total solve time: 6.69653e-01 │ Time spent in subproblems: 4.44058e-01 (66%) │ Number of subproblems: 6 │ ---------------------------------------------- │ ------------------------------------------------------------------------ │ MultiObjectiveAlgorithms.jl │ ------------------------------------------------------------------------ │ Algorithm: Chalmet │ ------------------------------------------------------------------------ │ solve # Obj. 1 Obj. 2 Obj. 3 Obj. 4 Time └ ------------------------------------------------------------------------ Test Summary: | Pass Error Broken Total Time Overall | 3506 1 1 3508 33m20.1s /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_Dichotomy.jl | 129 129 3m11.6s /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_Lexicographic.jl | 48 48 19.6s /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_RandomWeighting.jl | 24 24 6.7s /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_EpsilonConstraint.jl | 582 1 583 3m54.8s /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/test_model.jl | 1 1 6m54.2s /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_Sandwiching.jl | 40 40 1m49.0s /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_DominguezRios.jl | 1185 1185 9m17.1s /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_TambyVanderpooten.jl | 697 697 3m32.3s /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_KirlikSayin.jl | 697 697 2m58.6s /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/test_utilities.jl | 40 40 5.6s /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_Hierarchical.jl | 21 21 8.9s /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/algorithms/test_Chalmet.jl | 43 43 12.3s FAILURE Error in testset /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/test_model.jl: Error During Test at none:1 Got exception outside of a @test Malt.TerminatedWorkerException() ERROR: LoadError: Test run finished with errors in expression starting at /home/pkgeval/.julia/packages/MultiObjectiveAlgorithms/q0fOk/test/runtests.jl:18 Testing failed after 2030.9s ERROR: LoadError: Package MultiObjectiveAlgorithms errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2538 [3] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2387 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:552 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:169 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:157 [7] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:157 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:156 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [10] include(mod::Module, _path::String) @ Base ./Base.jl:306 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:317 [12] _start() @ Base ./client.jl:550 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval crashed after 2117.34s: an internal error was encountered