Package evaluation of SymbolicRegression on Julia 1.13.0-DEV.748 (36a4616fc2*) started at 2025-06-17T20:41:14.351 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.63s ################################################################################ # Installation # Installing SymbolicRegression... Resolving package versions... Installed SymbolicRegression ─ v1.11.3 Updating `~/.julia/environments/v1.13/Project.toml` [8254be44] + SymbolicRegression v1.11.3 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.14.0 [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 v5.12.0+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 5.29s ################################################################################ # 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_0bgXrd" (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 977.16s ################################################################################ # Testing # Testing SymbolicRegression Status `/tmp/jl_hALKDY/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_hALKDY/Manifest.toml` [47edcb42] ADTypes v1.14.0 [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 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [5789e2e9] FileIO v1.17.0 [1a297f60] FillArrays v1.13.0 [6a86dc24] FiniteDiff v2.27.0 [53c48c17] FixedPointNumbers v0.8.5 [f6369f11] ForwardDiff v1.0.1 [46192b85] GPUArraysCore v0.2.0 [076d061b] HashArrayMappedTries v0.2.0 [3e5b6fbb] HostCPUFeatures v0.1.17 [34004b35] HypergeometricFunctions v0.3.28 [7869d1d1] IRTools v0.4.14 [615f187c] IfElse v0.1.1 [a09fc81d] ImageCore v0.10.5 [22cec73e] InitialValues v0.3.1 [85a1e053] Interfaces v0.3.2 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [0f8b85d8] JSON3 v1.14.3 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.35 [b964fa9f] LaTeXStrings v1.4.0 [10f19ff3] LayoutPointers v0.1.17 [92ad9a40] LearnAPI v1.0.1 [d3d80556] LineSearches v7.4.0 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.1.0 [bdcacae8] LoopVectorization 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 v0.3.40 [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 v5.12.0+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... 5020.6 ms ✓ SplittablesBase 3871.8 ms ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 1950.9 ms ✓ BangBang → BangBangStaticArraysExt 1402.0 ms ✓ BangBang → BangBangChainRulesCoreExt 9014.0 ms ✓ KernelAbstractions 11223.8 ms ✓ Distributions 13978.1 ms ✓ Transducers 3502.2 ms ✓ KernelAbstractions → SparseArraysExt 3214.7 ms ✓ KernelAbstractions → LinearAlgebraExt 6461.5 ms ✓ Distributions → DistributionsTestExt 7118.8 ms ✓ Distributions → DistributionsChainRulesCoreExt 10264.7 ms ✓ ScientificTypes 2956.6 ms ✓ Transducers → TransducersAdaptExt 16696.7 ms ✓ FLoops 15023.5 ms ✓ NNlib 9735.0 ms ✓ CategoricalDistributions 3542.8 ms ✓ NNlib → NNlibSpecialFunctionsExt 28815.0 ms ✓ MLUtils 22267.3 ms ✓ StatisticalMeasuresBase 21482.4 ms ✓ MLJBase 21485.7 ms ✓ MLJTestInterface 21 dependencies successfully precompiled in 223 seconds. 142 already precompiled. Precompiling packages... 5711.2 ms ✓ LossFunctions → LossFunctionsCategoricalArraysExt 1 dependency successfully precompiled in 6 seconds. 14 already precompiled. Precompiling packages... 7193.8 ms ✓ DynamicQuantities → DynamicQuantitiesScientificTypesExt 1 dependency successfully precompiled in 9 seconds. 71 already precompiled. Precompiling packages... 4332.7 ms ✓ ForwardDiff → ForwardDiffStaticArraysExt 1 dependency successfully precompiled in 5 seconds. 21 already precompiled. Precompiling packages... 1731.6 ms ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt 1 dependency successfully precompiled in 2 seconds. 10 already precompiled. Precompiling packages... 1657.8 ms ✓ FiniteDiff → FiniteDiffStaticArraysExt 1 dependency successfully precompiled in 2 seconds. 21 already precompiled. Precompiling packages... 4485.0 ms ✓ NNlib → NNlibForwardDiffExt 1 dependency successfully precompiled in 5 seconds. 49 already precompiled. Precompiling packages... 11342.3 ms ✓ DynamicExpressions → DynamicExpressionsSymbolicUtilsExt 1 dependency successfully precompiled in 13 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 3.359e-02 4.729e-01 y = a + -0.0074229 5 8.676e-04 1.828e+00 y = a * (-0.066798 + a) 7 1.548e-04 8.617e-01 y = (a * b) * (a / b) 9 4.799e-05 5.858e-01 y = ((a * b) * (a / b)) + -0.0074229 11 3.242e-05 1.961e-01 y = ((((a * b) * a) / b) * 0.99376) + -0.0086794 13 5.544e-06 8.830e-01 y = ((((a * b) * (a - 0.058764)) / b) * 1.0494) + 0.002690... 2 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_n28jJN/20250617_210829_bItMRu/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 3 1.548e-04 0.000e+00 y₁ = a * a 5 3.319e-05 7.701e-01 y₁ = a * (a + -0.018458) 11 3.242e-05 3.912e-03 y₁ = (((a * 0.56817) / (0.53005 / a)) + -0.0093621) / 1.0... 787 13 3.500e-06 1.113e+00 y₁ = (((a * 0.57057) + -0.039951) / ((0.52922 / a) / 0.99... 083)) + 0.0027538 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 3.536e-01 0.000e+00 y₂ = -0.17064 3 1.548e-04 3.867e+00 y₂ = a * a 5 4.785e-05 5.871e-01 y₂ = (a + -0.024867) * a 7 4.901e-06 1.139e+00 y₂ = (a * 1.0516) * (a - 0.054709) 27 1.046e-06 7.723e-02 y₂ = (a + ((((a - 0.92618) * ((a + (a / ((((a - b) * a) +... -2.095) - a))) * -2.8265)) - -0.085945) * -0.07028)) * a ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 1.322e+00 0.000e+00 y₃ = -0.76533 3 1.548e-04 4.526e+00 y₃ = a * a 5 6.772e-05 4.135e-01 y₃ = (a - 0.0086239) * a 13 4.900e-06 3.283e-01 y₃ = (((a / b) * (b / 0.95073)) * a) + (a * -0.057678) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_8tFW4i/20250617_210924_EjXnAz/hall_of_fame_output1.csv - /tmp/jl_8tFW4i/20250617_210924_EjXnAz/hall_of_fame_output2.csv - /tmp/jl_8tFW4i/20250617_210924_EjXnAz/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 0.000e+00 0.000e+00 y₁ = b2 * b1 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.489e+00 0.000e+00 y₂ = b1 + -0.17782 5 1.503e-01 1.147e+00 y₂ = (b1 + b2) - -0.38764 7 3.583e-29 3.180e+01 y₂ = ((b1 + b2) - -0.14883) + -0.14883 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_8Pmh6J/20250617_210941_sK2P6P/hall_of_fame_output1.csv - /tmp/jl_8Pmh6J/20250617_210941_sK2P6P/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 1.076e+00 0.000e+00 y₁ = 0.14264 3 1.204e-37 4.254e+01 y₁ = x₁ - 2.8139e-18 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.037e+00 0.000e+00 y₂ = x₁ + x₂ 5 8.329e-01 1.098e-01 y₂ = (-0.62775 + -0.28486) + x₂ 7 0.000e+00 3.722e+02 y₂ = ((x₁ - x₁) * -0.28486) + x₂ ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 4.822e-02 0.000e+00 y₃ = x₃ + 0.21959 5 1.219e-03 1.839e+00 y₃ = x₃ + (0.065679 / -1.8808) 7 0.000e+00 3.722e+02 y₃ = x₃ + ((x₁ - x₁) * 4.5177e-06) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_DU9pXJ/test_run/hall_of_fame_output1.csv - /tmp/jl_DU9pXJ/test_run/hall_of_fame_output2.csv - /tmp/jl_DU9pXJ/test_run/hall_of_fame_output3.csv cols = SubString{String}["1", "1.075735400553694", "\"0.14264420737961225\""] cols = SubString{String}["3", "1.2037062152420224e-37", "\"x1 - 2.813896390337989e-18\""] cols = SubString{String}["3", "1.0374072566391859", "\"x1 + x2\""] cols = SubString{String}["5", "0.8328663978934062", "\"(-0.627750536070329 + -0.28486460619578796) + x2\""] cols = SubString{String}["7", "0.0", "\"((x1 - x1) * -0.28486460619578796) + x2\""] cols = SubString{String}["3", "0.04822029605803948", "\"x3 + 0.21959120214170583\""] cols = SubString{String}["5", "0.0012194389812338992", "\"x3 + (0.06567927588686309 / -1.880824698295182)\""] cols = SubString{String}["7", "0.0", "\"x3 + ((x1 - x1) * 4.517658661058098e-6)\""] [ 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_2gttyB/20250617_211010_rvvqkV/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_ZfRDGY/20250617_211012_boyV91/hall_of_fame_output1.csv - /tmp/jl_ZfRDGY/20250617_211012_boyV91/hall_of_fame_output2.csv - /tmp/jl_ZfRDGY/20250617_211012_boyV91/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... 1719.4 ms ✓ StructArrays 992.4 ms ✓ StructArrays → StructArraysAdaptExt 1099.6 ms ✓ StructArrays → StructArraysLinearAlgebraExt 1442.3 ms ✓ StructArrays → StructArraysSparseArraysExt 12944.0 ms ✓ ChainRules 66221.3 ms ✓ Zygote 6 dependencies successfully precompiled in 85 seconds. 60 already precompiled. Precompiling packages... 1310.0 ms ✓ Accessors → StructArraysExt 1 dependency successfully precompiled in 1 seconds. 20 already precompiled. Precompiling packages... 1414.3 ms ✓ BangBang → BangBangStructArraysExt 1 dependency successfully precompiled in 2 seconds. 24 already precompiled. Precompiling packages... 1907.6 ms ✓ StructArrays → StructArraysStaticArraysExt 1 dependency successfully precompiled in 2 seconds. 19 already precompiled. Precompiling packages... 3046.7 ms ✓ StructArrays → StructArraysGPUArraysCoreExt 1 dependency successfully precompiled in 3 seconds. 36 already precompiled. Precompiling packages... 2214.5 ms ✓ ArrayInterface → ArrayInterfaceChainRulesExt 1 dependency successfully precompiled in 2 seconds. 40 already precompiled. Precompiling packages... 8318.1 ms ✓ DynamicExpressions → DynamicExpressionsZygoteExt 1 dependency successfully precompiled in 9 seconds. 71 already precompiled. Precompiling packages... 5927.4 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... Info Given LoopVectorization was explicitly requested, output will be shown live  WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in _vreduce(typeof(Base.:(+)), Any) at /home/pkgeval/.julia/packages/LoopVectorization/ImqiY/src/simdfunctionals/mapreduce.jl 45364.5 ms ✓ LoopVectorization 1 dependency successfully precompiled in 46 seconds. 37 already precompiled. 1 dependency had output during precompilation: ┌ LoopVectorization │ [Output was shown above] └ Precompiling packages... 1990.9 ms ✓ StaticArrayInterface → StaticArrayInterfaceStaticArraysExt 1 dependency successfully precompiled in 2 seconds. 20 already precompiled. Precompiling packages... 16975.9 ms ✓ DynamicExpressions → DynamicExpressionsLoopVectorizationExt 1 dependency successfully precompiled in 17 seconds. 46 already precompiled. Precompiling packages... 6228.9 ms ✓ LoopVectorization → SpecialFunctionsExt 1 dependency successfully precompiled in 7 seconds. 51 already precompiled. Precompiling packages... 6921.3 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:730 [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:730 [inlined] [2] test_part(tree::DynamicExpressions.NodeModule.Node{Float64}, Xpart::Matrix{Float64}, 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 jfptr_IncludeInto_52201.1 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_58587.1 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: 0x7cd5c981e249) 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{Float64}, String, Vector{Float64}})() │ @ 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{Float64}, String, Vector{Float64}}, ::Test.Fail) │ @ Main.var"##310" ~/.julia/packages/SymbolicRegression/L5TJa/test/test_params.jl:74 │ [4] test_part(tree::DynamicExpressions.NodeModule.Node{Float64}, Xpart::Matrix{Float64}, 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_57689.1 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 0x000076d989ff2d10 Total snapshots: 472. Utilization: 0% ╎472 @Base/task.jl:1150 wait_forever() 471╎ 472 @Base/task.jl:1213 wait() ┌ 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 0x00007cd5af800010 Total snapshots: 1. Utilization: 100% PkgEval terminated after 2729.7s: test duration exceeded the time limit