Package evaluation of SymbolicRegression on Julia 1.13.0-DEV.771 (d887bd21ab*) started at 2025-06-22T20:56:32.977 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 7.98s ################################################################################ # Installation # Installing SymbolicRegression... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [8254be44] + SymbolicRegression v1.11.3 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.15.0 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.19.0 [d360d2e6] + ChainRulesCore v1.25.1 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.1 [8d63f2c5] + DispatchDoctor v0.4.19 [ffbed154] + DocStringExtensions v0.9.5 ⌅ [7317a516] + DynamicDiff v0.2.1 ⌅ [a40a106e] + DynamicExpressions v1.10.3 [06fc5a27] + DynamicQuantities v1.8.0 [4e289a0a] + EnumX v1.0.5 [1a297f60] + FillArrays v1.13.0 [6a86dc24] + FiniteDiff v2.27.0 [f6369f11] + ForwardDiff v1.0.1 [85a1e053] + Interfaces v0.3.2 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.0 [d3d80556] + LineSearches v7.4.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [30fc2ffe] + LossFunctions v1.0.1 [e80e1ace] + MLJModelInterface v1.11.1 [1914dd2f] + MacroTools v0.5.16 [e1d29d7a] + Missings v1.2.0 [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 [429524aa] + Optim v1.13.2 [bac558e1] + OrderedCollections v1.8.1 [d96e819e] + Parameters v0.12.3 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 ⌅ [92933f4c] + ProgressMeter v1.10.2 [43287f4e] + PtrArrays v1.3.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [30f210dd] + ScientificTypesBase v3.0.0 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.1 [276daf66] + SpecialFunctions v2.5.1 [1e83bf80] + StaticArraysCore v1.4.3 [64bff920] + StatisticalTraits v3.4.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.5 [8254be44] + SymbolicRegression v1.11.3 [1c621080] + TestItems v1.0.0 [410a4b4d] + Tricks v0.1.10 [3a884ed6] + UnPack v1.0.2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL 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 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.14.1+1 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.5.20 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 4.12s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... ERROR: LoadError: The following 1 direct dependency failed to precompile: TensorBoardLogger Failed to precompile TensorBoardLogger [899adc3e-224a-11e9-021f-63837185c80f] to "/home/pkgeval/.julia/compiled/v1.13/TensorBoardLogger/jl_sTszTe" (ProcessExited(1)). ERROR: LoadError: FieldError: type Core.TypeName has no field `mt`, available fields: `name`, `module`, `singletonname`, `names`, `atomicfields`, `constfields`, `wrapper`, `Typeofwrapper`, `cache`, `linearcache`, `partial`, `hash`, `max_args`, `n_uninitialized`, `flags`, `cache_entry_count`, `max_methods`, `constprop_heuristic` Stacktrace: [1] getproperty(x::Core.TypeName, f::Symbol) @ Base ./Base_compiler.jl:57 [2] top-level scope @ ~/.julia/packages/TensorBoardLogger/0nEI0/src/protojl/tensorboard/tensorboard/event_pb.jl:145 [3] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [4] top-level scope @ ~/.julia/packages/TensorBoardLogger/0nEI0/src/protojl/tensorboard/tensorboard/tensorboard.jl:35 [5] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [6] top-level scope @ ~/.julia/packages/TensorBoardLogger/0nEI0/src/TensorBoardLogger.jl:40 [7] include(mod::Module, _path::String) @ Base ./Base.jl:309 [8] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing) @ Base ./loading.jl:3000 [9] top-level scope @ stdin:5 [10] eval(m::Module, e::Any) @ Core ./boot.jl:489 [11] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2846 [12] include_string @ ./loading.jl:2856 [inlined] [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:322 [14] _start() @ Base ./client.jl:557 in expression starting at /home/pkgeval/.julia/packages/TensorBoardLogger/0nEI0/src/protojl/tensorboard/tensorboard/event_pb.jl:145 in expression starting at /home/pkgeval/.julia/packages/TensorBoardLogger/0nEI0/src/protojl/tensorboard/tensorboard/tensorboard.jl:1 in expression starting at /home/pkgeval/.julia/packages/TensorBoardLogger/0nEI0/src/TensorBoardLogger.jl:1 in expression starting at stdin: in expression starting at /PkgEval.jl/scripts/precompile.jl:37 Precompilation failed after 1217.94s ################################################################################ # Testing # Testing SymbolicRegression Status `/tmp/jl_G78w1Y/Project.toml` [4c88cf16] Aqua v0.8.13 ⌃ [8ce10254] Bumper v0.6.0 [34da2185] Compat v4.16.0 [a0c0ee7d] DifferentiationInterface v0.7.1 [8d63f2c5] DispatchDoctor v0.4.19 ⌅ [a40a106e] DynamicExpressions v1.10.3 [06fc5a27] DynamicQuantities v1.8.0 [f6369f11] ForwardDiff v1.0.1 [0f8b85d8] JSON3 v1.14.3 [d3d80556] LineSearches v7.4.0 [e6f89c97] LoggingExtras v1.1.0 [bdcacae8] LoopVectorization v0.12.172 [a7f614a8] MLJBase v1.8.1 [e80e1ace] MLJModelInterface v1.11.1 [72560011] MLJTestInterface v0.2.8 [429524aa] Optim v1.13.2 [1bc83da4] SafeTestsets v0.1.0 [fd094767] Suppressor v0.2.8 [8254be44] SymbolicRegression v1.11.3 [d1185830] SymbolicUtils v3.29.0 [899adc3e] TensorBoardLogger v0.1.25 [f8b46487] TestItemRunner v1.1.0 [1c621080] TestItems v1.0.0 [e88e6eb3] Zygote v0.7.10 [8ba89e20] Distributed v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [f489334b] StyledStrings v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_G78w1Y/Manifest.toml` [47edcb42] ADTypes v1.15.0 [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.13 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.19.0 [a9b6321e] Atomix v1.1.1 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 [e2ed5e7c] Bijections v0.2.2 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [e1450e63] BufferedStreams v1.2.2 ⌃ [8ce10254] Bumper v0.6.0 [2a0fbf3d] CPUSummary v0.2.6 [324d7699] CategoricalArrays v0.10.8 [af321ab8] CategoricalDistributions v0.1.15 [082447d4] ChainRules v1.72.5 [d360d2e6] ChainRulesCore v1.25.1 [fb6a15b2] CloseOpenIntervals v0.1.13 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [861a8166] Combinatorics v1.0.3 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.16.0 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [187b0558] ConstructionBase v1.6.0 [6add18c4] ContextVariablesX v0.1.3 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.1 [8d63f2c5] DispatchDoctor v0.4.19 [31c24e10] Distributions v0.25.120 [ffbed154] DocStringExtensions v0.9.5 ⌅ [7317a516] DynamicDiff v0.2.1 ⌅ [a40a106e] DynamicExpressions v1.10.3 [7c1d4256] DynamicPolynomials v0.6.2 [06fc5a27] DynamicQuantities v1.8.0 [4e289a0a] EnumX v1.0.5 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 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v0.12.172 [30fc2ffe] LossFunctions v1.0.1 [c2834f40] MLCore v1.0.0 [a7f614a8] MLJBase v1.8.1 [e80e1ace] MLJModelInterface v1.11.1 [72560011] MLJTestInterface v0.2.8 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [dbb5928d] MappedArrays v0.4.2 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [e94cdb99] MosaicViews v0.3.4 [102ac46a] MultivariatePolynomials v0.5.9 [d8a4904e] MutableArithmetics v1.6.4 [d41bc354] NLSolversBase v7.10.0 [872c559c] NNlib v0.9.30 [77ba4419] NaNMath v1.1.3 [71a1bf82] NameResolution v0.1.5 [6fe1bfb0] OffsetArrays v1.17.0 [429524aa] Optim v1.13.2 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.35 [5432bcbf] PaddedViews v0.5.12 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [1d0040c9] PolyesterWeave v0.2.2 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [8162dcfd] PrettyPrint v0.2.0 [08abe8d2] PrettyTables v2.4.0 ⌅ [92933f4c] ProgressMeter v1.10.2 [3349acd9] ProtoBuf v1.1.1 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [c1ae055f] RealDot v0.1.0 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.8.0 [7e49a35a] RuntimeGeneratedFunctions v0.5.15 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.43 [1bc83da4] SafeTestsets v0.1.0 [321657f4] ScientificTypes v3.1.0 [30f210dd] ScientificTypesBase v3.0.0 [7e506255] ScopedValues v1.3.0 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [699a6c99] SimpleTraits v0.9.4 [a2af1166] SortingAlgorithms v1.2.1 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.5.1 [171d559e] SplittablesBase v0.1.15 [cae243ae] StackViews v0.1.2 [aedffcd0] Static v1.2.0 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [c062fc1d] StatisticalMeasuresBase v0.1.2 [64bff920] StatisticalTraits v3.4.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.5 [4c63d2b9] StatsFuns v1.5.0 [7792a7ef] StrideArraysCore v0.5.7 [892a3eda] StringManipulation v0.4.1 [09ab397b] StructArrays v0.7.1 [856f2bd8] StructTypes v1.11.0 [fd094767] Suppressor v0.2.8 [2efcf032] SymbolicIndexingInterface v0.3.41 [8254be44] SymbolicRegression v1.11.3 [d1185830] SymbolicUtils v3.29.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [ed4db957] TaskLocalValues v0.1.2 [899adc3e] TensorBoardLogger v0.1.25 [62fd8b95] TensorCore v0.1.1 [8ea1fca8] TermInterface v2.0.0 [f8b46487] TestItemRunner v1.1.0 [1c621080] TestItems v1.0.0 [8290d209] ThreadingUtilities v0.5.5 [a759f4b9] TimerOutputs v0.5.29 [28d57a85] Transducers v0.4.84 [410a4b4d] Tricks v0.1.10 [3a884ed6] UnPack v1.0.2 [a7c27f48] Unityper v0.1.6 [013be700] UnsafeAtomics v0.3.0 [3d5dd08c] VectorizationBase v0.21.71 [897b6980] WeakValueDicts v0.1.0 [e88e6eb3] Zygote v0.7.10 [700de1a5] ZygoteRules v0.2.7 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [8bf52ea8] CRC32c v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.14.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.13.1+0 [8e850ede] nghttp2_jll v1.65.0+0 [3f19e933] p7zip_jll v17.5.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... Precompiling packages... 8276.5 ms ✓ CategoricalArrays 3006.2 ms ✓ BangBang 3726.6 ms ✓ MLCore 3624.9 ms ✓ SplittablesBase 3326.2 ms ✓ KernelAbstractions → SparseArraysExt 30281.7 ms ✓ NNlib 10647.7 ms ✓ Distributions 3740.3 ms ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 1384.6 ms ✓ BangBang → BangBangChainRulesCoreExt 1380.9 ms ✓ BangBang → BangBangTablesExt 1972.4 ms ✓ BangBang → BangBangStaticArraysExt 3197.3 ms ✓ MicroCollections 3957.7 ms ✓ NNlib → NNlibSpecialFunctionsExt 5982.9 ms ✓ Distributions → DistributionsTestExt 5774.0 ms ✓ Distributions → DistributionsChainRulesCoreExt 10380.7 ms ✓ ScientificTypes 8157.8 ms ✓ Transducers 9390.4 ms ✓ CategoricalDistributions 3133.4 ms ✓ Transducers → TransducersAdaptExt 15226.9 ms ✓ FLoops 26510.3 ms ✓ MLUtils 22146.3 ms ✓ StatisticalMeasuresBase 20367.5 ms ✓ MLJBase 20075.4 ms ✓ MLJTestInterface 24 dependencies successfully precompiled in 229 seconds. 139 already precompiled. Precompiling packages... 6071.7 ms ✓ LossFunctions → LossFunctionsCategoricalArraysExt 1 dependency successfully precompiled in 6 seconds. 14 already precompiled. Precompiling packages... 7574.9 ms ✓ DynamicQuantities → DynamicQuantitiesScientificTypesExt 1 dependency successfully precompiled in 10 seconds. 71 already precompiled. Precompiling packages... 4293.1 ms ✓ ForwardDiff → ForwardDiffStaticArraysExt 1 dependency successfully precompiled in 5 seconds. 21 already precompiled. Precompiling packages... 3876.5 ms ✓ NNlib → NNlibForwardDiffExt 1 dependency successfully precompiled in 4 seconds. 49 already precompiled. Precompiling packages... 10938.3 ms ✓ DynamicExpressions → DynamicExpressionsSymbolicUtilsExt 1 dependency successfully precompiled in 12 seconds. 90 already precompiled. [ Info: Training machine(SRRegressor(defaults = nothing, …), …). ┌ Warning: `npop` is deprecated. Use `population_size` instead. │ caller = get_options(m::SymbolicRegression.MLJInterfaceModule.SRRegressor{DynamicQuantities.SymbolicDimensions{DynamicQuantities.FixedRational{Int32, 25200}}, Nothing}) at MLJInterface.jl:107 └ @ Core ~/.julia/packages/SymbolicRegression/L5TJa/src/MLJInterface.jl:107 ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/L5TJa/src/Configure.jl:69 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 8.649e-02 0.000e+00 y = 0.34616 3 1.548e-04 3.163e+00 y = a * a 5 4.512e-05 6.165e-01 y = (a * a) + -0.0078608 7 3.242e-05 1.654e-01 y = (a * (a / 1.0063)) + -0.0086794 9 2.453e-06 1.291e+00 y = ((a + -0.07011) * (a / 0.93806)) + 0.004315 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_a56qDu/20250622_212724_HJ61F5/hall_of_fame.csv ┌ Warning: Creating a node using a string is deprecated and will be removed in a future version. │ caller = ip:0x0 └ @ Core :-1 [ Info: Training machine(MultitargetSRRegressor(defaults = nothing, …), …). ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/L5TJa/src/Configure.jl:69 [ Info: Started! [ Info: Final populations: [ Info: Output 1: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 8.649e-02 0.000e+00 y₁ = 0.34616 3 1.548e-04 3.163e+00 y₁ = a * a 5 3.319e-05 7.701e-01 y₁ = a * (a + -0.018458) 9 2.604e-05 6.062e-02 y₁ = ((a + -0.0054355) * (a + 0.99484)) - a 11 2.604e-05 3.775e-15 y₁ = (((b / b) + (a + -1.0106)) * a) - 0.0054075 15 1.978e-05 6.876e-02 y₁ = ((-0.042201 * (((-1.3633 + a) * a) + (1.7409 - a))) ... + a) * a 21 7.777e-06 1.556e-01 y₁ = (((((((a + -1.3724) * (b + (a - b))) * a) + 1.7348) ... - a) * -0.02862) + a) * a ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 9.338e-02 0.000e+00 y₂ = 0.26315 3 1.548e-04 3.201e+00 y₂ = a * a 5 3.319e-05 7.701e-01 y₂ = a * (a + -0.018458) 7 2.604e-05 1.212e-01 y₂ = (a * (a + -0.010592)) + -0.0054075 9 2.604e-05 6.384e-15 y₂ = ((a - 0.39441) * (a - -0.38382)) - -0.14597 11 4.900e-06 8.352e-01 y₂ = ((a / 0.68341) * (-0.28502 - (a + -0.33986))) * -0.7... 1882 13 3.296e-06 1.983e-01 y₂ = ((a * ((a + (a + -0.15128)) / 1.742)) - -0.0070615) ... * 0.93137 15 3.011e-06 4.509e-02 y₂ = ((((a * (a + (a + -0.15209))) / 1.7418) - -0.011443)... * 0.93222) - 0.0043547 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 9.976e-02 0.000e+00 y₃ = 0.23099 3 1.548e-04 3.234e+00 y₃ = a * a 5 3.660e-05 7.212e-01 y₃ = (a - 0.015366) * a 11 4.017e-06 3.683e-01 y₃ = ((a + -0.58834) - -0.55751) * ((a * 1.0559) - 0.0295... 44) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_DcYYVx/20250622_212813_R43nMa/hall_of_fame_output1.csv - /tmp/jl_DcYYVx/20250622_212813_R43nMa/hall_of_fame_output2.csv - /tmp/jl_DcYYVx/20250622_212813_R43nMa/hall_of_fame_output3.csv [ Info: Training machine(MultitargetSRRegressor(defaults = nothing, …), …). ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/L5TJa/src/Configure.jl:69 [ Info: Started! [ Info: Final populations: [ Info: Output 1: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.218e+00 0.000e+00 y₁ = 0.90548 * -0.22816 5 8.589e-22 2.435e+01 y₁ = (b1 * b2) * 1 7 6.500e-22 1.394e-01 y₁ = ((b2 / 0.90096) * b1) * 0.90096 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 2.897e+00 0.000e+00 y₂ = -1.1428 3 0.000e+00 3.722e+02 y₂ = b1 + b2 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_f4gLFw/20250622_212830_XqyMOB/hall_of_fame_output1.csv - /tmp/jl_f4gLFw/20250622_212830_XqyMOB/hall_of_fame_output2.csv [ Info: Training machine(MultitargetSRRegressor(defaults = nothing, …), …). ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/L5TJa/src/Configure.jl:69 [ Info: Started! [ Info: Final populations: [ Info: Output 1: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 2.163e+00 0.000e+00 y₁ = 1 3 0.000e+00 3.722e+02 y₁ = x₁ * 1 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 5 1.317e-01 0.000e+00 y₂ = (x₂ / 1.7242) / 0.42654 9 4.239e-03 8.589e-01 y₂ = ((-0.53332 - (x₁ - x₂)) - -0.46822) + x₁ 15 3.955e-04 3.953e-01 y₂ = ((((x₁ + (-0.038975 - (x₁ - x₂))) / 1.7242) / 0.6136... 4) - -0.027768) * 1.0771 17 2.369e-18 1.637e+01 y₂ = ((((((-0.037532 - (x₁ - x₂)) + x₁) - -0.016983) / 2.... 2029) / 0.59756) - -0.01561) * 1.3164 19 4.781e-20 1.951e+00 y₂ = (x₂ / x₂) * (((((x₁ + (-0.50331 - (x₁ - x₂))) - -0.4... 7209) / 1.7142) / 0.58337) - -0.031224) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.122e+00 0.000e+00 y₃ = 0.073251 * x₂ 5 1.119e+00 1.311e-03 y₃ = 0.073251 / (x₁ + x₁) 7 1.112e+00 2.880e-03 y₃ = (0.073251 / (x₁ + x₁)) - -0.083004 9 9.589e-04 3.528e+00 y₃ = ((0.74032 + -0.66506) / (-0.9936 / 0.4088)) + x₃ 11 0.000e+00 3.722e+02 y₃ = (((x₃ - x₃) / (x₃ - -0.034311)) * 0.0033931) + x₃ ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_RcYJOo/test_run/hall_of_fame_output1.csv - /tmp/jl_RcYJOo/test_run/hall_of_fame_output2.csv - /tmp/jl_RcYJOo/test_run/hall_of_fame_output3.csv cols = SubString{String}["1", "2.163460563295367", "\"1.0\""] cols = SubString{String}["3", "0.0", "\"x1 * 1.0\""] cols = SubString{String}["5", "0.1316522100361848", "\"(x2 / 1.7241600685386798) / 0.4265385637944849\""] cols = SubString{String}["9", "0.004239220865152343", "\"((-0.5333246469379728 - (x1 - x2)) - -0.4682153475625967) + x1\""] cols = SubString{String}["15", "0.0003955340823968976", "\"((((x1 + (-0.038975019737518324 - (x1 - x2))) / 1.7241600685386798) / 0.6136436729265077) - -0.027767507207190078) * 1.0770778429595358\""] cols = SubString{String}["17", "2.368720471404308e-18", "\"((((((-0.037532011558213334 - (x1 - x2)) + x1) - -0.016983155841796622) / 2.202897384729225) / 0.5975604333914607) - -0.015610310389890178) * 1.3163643139549488\""] cols = SubString{String}["19", "4.781299443691132e-20", "\"(x2 / x2) * (((((x1 + (-0.5033147227107552 - (x1 - x2))) - -0.4720909921515997) / 1.714191602104502) / 0.5833653595011471) - -0.03122373054085143)\""] cols = SubString{String}["3", "1.121765622322138", "\"0.0732505450964125 * x2\""] cols = SubString{String}["5", "1.118827643967267", "\"0.0732505450964125 / (x1 + x1)\""] cols = SubString{String}["7", "1.11240198781037", "\"(0.0732505450964125 / (x1 + x1)) - -0.08300421362538016\""] cols = SubString{String}["9", "0.0009589020406836586", "\"((0.7403241087431335 + -0.6650594452552326) / (-0.993599583183192 / 0.40879671557904884)) + x3\""] cols = SubString{String}["11", "0.0", "\"(((x3 - x3) / (x3 - -0.034310958086280055)) * 0.0033931344172049203) + x3\""] [ Info: Training machine(SRRegressor(defaults = nothing, …), …). ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/L5TJa/src/Configure.jl:69 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_jnf9EC/20250622_212856_yB7pgU/hall_of_fame.csv ┌ Warning: Equations not found. Returning 0s for prediction. └ @ SymbolicRegression.MLJInterfaceModule ~/.julia/packages/SymbolicRegression/L5TJa/src/MLJInterface.jl:556 ┌ Warning: Evaluation failed either due to NaNs detected or due to unfinished search. Using 0s for prediction. └ @ SymbolicRegression.MLJInterfaceModule ~/.julia/packages/SymbolicRegression/L5TJa/src/MLJInterface.jl:422 [ Info: Training machine(MultitargetSRRegressor(defaults = nothing, …), …). ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/L5TJa/src/Configure.jl:69 [ Info: Started! [ Info: Final populations: [ Info: Output 1: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_rMPocH/20250622_212858_UevoYt/hall_of_fame_output1.csv - /tmp/jl_rMPocH/20250622_212858_UevoYt/hall_of_fame_output2.csv - /tmp/jl_rMPocH/20250622_212858_UevoYt/hall_of_fame_output3.csv ┌ Warning: Equations not found. Returning 0s for prediction. └ @ SymbolicRegression.MLJInterfaceModule ~/.julia/packages/SymbolicRegression/L5TJa/src/MLJInterface.jl:556 ┌ Warning: Evaluation failed either due to NaNs detected or due to unfinished search. Using 0s for prediction. └ @ SymbolicRegression.MLJInterfaceModule ~/.julia/packages/SymbolicRegression/L5TJa/src/MLJInterface.jl:422 Precompiling packages... 1687.8 ms ✓ StructArrays 997.8 ms ✓ StructArrays → StructArraysAdaptExt 1163.9 ms ✓ StructArrays → StructArraysLinearAlgebraExt 1411.7 ms ✓ StructArrays → StructArraysSparseArraysExt 12158.0 ms ✓ ChainRules 65295.6 ms ✓ Zygote 6 dependencies successfully precompiled in 84 seconds. 60 already precompiled. Precompiling packages... 1201.1 ms ✓ Accessors → StructArraysExt 1 dependency successfully precompiled in 2 seconds. 20 already precompiled. Precompiling packages... 1375.6 ms ✓ BangBang → BangBangStructArraysExt 1 dependency successfully precompiled in 1 seconds. 24 already precompiled. Precompiling packages... 1754.3 ms ✓ StructArrays → StructArraysStaticArraysExt 1 dependency successfully precompiled in 2 seconds. 19 already precompiled. Precompiling packages... 2889.4 ms ✓ StructArrays → StructArraysGPUArraysCoreExt 1 dependency successfully precompiled in 3 seconds. 36 already precompiled. Precompiling packages... 2072.0 ms ✓ ArrayInterface → ArrayInterfaceChainRulesExt 1 dependency successfully precompiled in 2 seconds. 40 already precompiled. Precompiling packages... 8423.2 ms ✓ DynamicExpressions → DynamicExpressionsZygoteExt 1 dependency successfully precompiled in 9 seconds. 71 already precompiled. Precompiling packages... 5973.8 ms ✓ DifferentiationInterface → DifferentiationInterfaceZygoteExt 1 dependency successfully precompiled in 7 seconds. 74 already precompiled. ┌ Warning: Skipping Enzyme tests because Enzyme.jl could not be loaded │ exception = │ ArgumentError: Package Enzyme not found in current path. │ - Run `import Pkg; Pkg.add("Enzyme")` to install the Enzyme package. └ @ Main.var"##298" ~/.julia/packages/SymbolicRegression/L5TJa/test/test_expression_derivatives.jl:120 Precompiling packages... 15884.9 ms ✓ DynamicExpressions → DynamicExpressionsLoopVectorizationExt 1 dependency successfully precompiled in 16 seconds. 46 already precompiled. Precompiling packages... 6597.7 ms ✓ LoopVectorization → ForwardDiffExt 1 dependency successfully precompiled in 7 seconds. 57 already precompiled. Turbo mode matches regular mode: Test Failed at /home/pkgeval/.julia/packages/SymbolicRegression/L5TJa/test/test_operators.jl:220 Expression: y ≈ y_turbo && eval_warnings == "" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:741 [inlined] [2] test_part(tree::DynamicExpressions.NodeModule.Node{Float32}, Xpart::Matrix{Float32}, options::SymbolicRegression.CoreModule.OptionsStructModule.Options{SymbolicRegression.CoreModule.OptionsStructModule.ComplexityMapping{Int64, Int64}, DynamicExpressions.OperatorEnumModule.OperatorEnum, DynamicExpressions.NodeModule.Node, DynamicExpressions.ExpressionModule.Expression, @NamedTuple{}, SymbolicRegression.CoreModule.MutationWeightsModule.MutationWeights, false, false, nothing, Nothing, 5}) @ Main.var"##310" ~/.julia/packages/SymbolicRegression/L5TJa/test/test_operators.jl:220 ┌ Error: Exception while generating log record in module Main.var"##310" at /home/pkgeval/.julia/packages/SymbolicRegression/L5TJa/test/test_operators.jl:221 │ exception = │ UndefVarError: `T` not defined in `Main.var"##310"` │ Suggestion: check for spelling errors or missing imports. │ Stacktrace: │ [1] macro expansion │ @ ./logging/logging.jl:385 [inlined] │ [2] (::Main.var"##310".var"#test_part##2#test_part##3"{DynamicExpressions.NodeModule.Node{Float32}, String, Vector{Float32}})() │ @ Main.var"##310" ~/.julia/packages/SymbolicRegression/L5TJa/test/test_operators.jl:221 │ [3] test_info(f::Main.var"##310".var"#test_part##2#test_part##3"{DynamicExpressions.NodeModule.Node{Float32}, String, Vector{Float32}}, ::Test.Fail) │ @ Main.var"##310" ~/.julia/packages/SymbolicRegression/L5TJa/test/test_params.jl:74 │ [4] test_part(tree::DynamicExpressions.NodeModule.Node{Float32}, Xpart::Matrix{Float32}, options::SymbolicRegression.CoreModule.OptionsStructModule.Options{SymbolicRegression.CoreModule.OptionsStructModule.ComplexityMapping{Int64, Int64}, DynamicExpressions.OperatorEnumModule.OperatorEnum, DynamicExpressions.NodeModule.Node, DynamicExpressions.ExpressionModule.Expression, @NamedTuple{}, SymbolicRegression.CoreModule.MutationWeightsModule.MutationWeights, false, false, nothing, Nothing, 5}) │ @ Main.var"##310" ~/.julia/packages/SymbolicRegression/L5TJa/test/test_operators.jl:220 │ [5] top-level scope │ @ ~/.julia/packages/SymbolicRegression/L5TJa/test/test_operators.jl:237 │ [6] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [7] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) │ @ Base ./loading.jl:2846 │ [8] include_string(m::Module, txt::String, fname::String) │ @ Base ./loading.jl:2856 │ [9] #run_testitem##6 │ @ ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:118 [inlined] │ [10] withpath(f::TestItemRunner.var"#run_testitem##6#run_testitem##7"{String, String, Module}, path::String) │ @ TestItemRunner ~/.julia/packages/TestItemRunner/Q6zqe/src/vendored_code.jl:7 │ [11] #run_testitem##4 │ @ ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:117 [inlined] │ [12] cd(f::TestItemRunner.var"#run_testitem##4#run_testitem##5"{String, String, Module}, dir::String) │ @ Base.Filesystem ./file.jl:112 │ [13] run_testitem(filepath::String, use_default_usings::Bool, setups::Vector{Symbol}, package_name::String, original_code::String, line::Int64, column::Int64, test_setup_module_set::TestItemRunner.TestSetupModuleSet, testsetups::Dict{Symbol, Any}) │ @ TestItemRunner ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:116 │ [14] run_tests(path::String; filter::var"#4#5"{Vector{SubString{String}}}, verbose::Bool) │ @ TestItemRunner ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:221 │ [15] top-level scope │ @ ~/.julia/packages/SymbolicRegression/L5TJa/test/runtests.jl:15 │ [16] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [17] top-level scope │ @ ~/.julia/packages/SymbolicRegression/L5TJa/test/runtests.jl:15 │ [18] include(mapexpr::Function, mod::Module, _path::String) │ @ Base ./Base.jl:310 │ [19] top-level scope │ @ none:6 │ [20] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [21] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:290 │ [22] _start() │ @ Base ./client.jl:557 └ @ Main.var"##310" ~/.julia/packages/SymbolicRegression/L5TJa/test/test_operators.jl:221 Turbo mode matches regular mode: Test Failed at /home/pkgeval/.julia/packages/SymbolicRegression/L5TJa/test/test_operators.jl:220 Expression: y ≈ y_turbo && eval_warnings == "" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:741 [inlined] [2] test_part(tree::DynamicExpressions.NodeModule.Node{Float32}, Xpart::Matrix{Float32}, options::SymbolicRegression.CoreModule.OptionsStructModule.Options{SymbolicRegression.CoreModule.OptionsStructModule.ComplexityMapping{Int64, Int64}, DynamicExpressions.OperatorEnumModule.OperatorEnum, DynamicExpressions.NodeModule.Node, DynamicExpressions.ExpressionModule.Expression, @NamedTuple{}, SymbolicRegression.CoreModule.MutationWeightsModule.MutationWeights, false, false, nothing, Nothing, 5}) @ Main.var"##310" ~/.julia/packages/SymbolicRegression/L5TJa/test/test_operators.jl:220 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_75843.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2343 [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:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 exec_options at ./client.jl:290 _start at ./client.jl:557 jfptr__start_75769.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2343 [inlined] true_main at /source/src/jlapi.c:964 jl_repl_entrypoint at /source/src/jlapi.c:1132 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7c072db3e249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ┌ Error: Exception while generating log record in module Main.var"##310" at /home/pkgeval/.julia/packages/SymbolicRegression/L5TJa/test/test_operators.jl:221 │ exception = │ UndefVarError: `T` not defined in `Main.var"##310"` │ Suggestion: check for spelling errors or missing imports. │ Stacktrace: │ [1] macro expansion │ @ ./logging/logging.jl:385 [inlined] │ [2] (::Main.var"##310".var"#test_part##2#test_part##3"{DynamicExpressions.NodeModule.Node{Float32}, String, Vector{Float32}})() │ @ Main.var"##310" ~/.julia/packages/SymbolicRegression/L5TJa/test/test_operators.jl:221 │ [3] test_info(f::Main.var"##310".var"#test_part##2#test_part##3"{DynamicExpressions.NodeModule.Node{Float32}, String, Vector{Float32}}, ::Test.Fail) │ @ Main.var"##310" ~/.julia/packages/SymbolicRegression/L5TJa/test/test_params.jl:74 │ [4] test_part(tree::DynamicExpressions.NodeModule.Node{Float32}, Xpart::Matrix{Float32}, options::SymbolicRegression.CoreModule.OptionsStructModule.Options{SymbolicRegression.CoreModule.OptionsStructModule.ComplexityMapping{Int64, Int64}, DynamicExpressions.OperatorEnumModule.OperatorEnum, DynamicExpressions.NodeModule.Node, DynamicExpressions.ExpressionModule.Expression, @NamedTuple{}, SymbolicRegression.CoreModule.MutationWeightsModule.MutationWeights, false, false, nothing, Nothing, 5}) │ @ Main.var"##310" ~/.julia/packages/SymbolicRegression/L5TJa/test/test_operators.jl:220 │ [5] top-level scope │ @ ~/.julia/packages/SymbolicRegression/L5TJa/test/test_operators.jl:237 │ [6] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [7] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) │ @ Base ./loading.jl:2846 │ [8] include_string(m::Module, txt::String, fname::String) │ @ Base ./loading.jl:2856 │ [9] #run_testitem##6 │ @ ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:118 [inlined] │ [10] withpath(f::TestItemRunner.var"#run_testitem##6#run_testitem##7"{String, String, Module}, path::String) │ @ TestItemRunner ~/.julia/packages/TestItemRunner/Q6zqe/src/vendored_code.jl:7 │ [11] #run_testitem##4 │ @ ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:117 [inlined] │ [12] cd(f::TestItemRunner.var"#run_testitem##4#run_testitem##5"{String, String, Module}, dir::String) │ @ Base.Filesystem ./file.jl:112 │ [13] run_testitem(filepath::String, use_default_usings::Bool, setups::Vector{Symbol}, package_name::String, original_code::String, line::Int64, column::Int64, test_setup_module_set::TestItemRunner.TestSetupModuleSet, testsetups::Dict{Symbol, Any}) │ @ TestItemRunner ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:116 │ [14] run_tests(path::String; filter::var"#4#5"{Vector{SubString{String}}}, verbose::Bool) │ @ TestItemRunner ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:221 │ [15] top-level scope │ @ ~/.julia/packages/SymbolicRegression/L5TJa/test/runtests.jl:15 │ [16] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [17] top-level scope │ @ ~/.julia/packages/SymbolicRegression/L5TJa/test/runtests.jl:15 │ [18] include(mapexpr::Function, mod::Module, _path::String) │ @ Base ./Base.jl:310 │ [19] top-level scope │ @ none:6 │ [20] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [21] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:290 │ [22] _start() │ @ Base ./client.jl:557 └ @ Main.var"##310" ~/.julia/packages/SymbolicRegression/L5TJa/test/test_operators.jl:221 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1213 wait_forever at ./task.jl:1150 jfptr_wait_forever_75152.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2343 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007445007f3df0 Total snapshots: 458. Utilization: 0% ╎458 @Base/task.jl:1150 wait_forever() 457╎ 458 @Base/task.jl:1213 wait() [247] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SymbolicRegression/L5TJa/test/test_operators.jl:225 _ZN4llvm18isImpliedConditionEPKNS_5ValueENS_12CmpPredicateES2_S2_RKNS_10DataLayoutEbj at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) unknown function (ip: 0x946fddf) at (unknown file) unknown function (ip: (nil)) at (unknown file) Allocations: 625158130 (Pool: 625154389; Big: 3741); GC: 271 PkgEval terminated after 2722.27s: test duration exceeded the time limit