Package evaluation of SymbolicRegression on Julia 1.13.0-DEV.791 (d5209bd37d*) started at 2025-07-04T16:07:05.741 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.45s ################################################################################ # Installation # Installing SymbolicRegression... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [8254be44] + SymbolicRegression v1.12.0 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 v1.25.2 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.17.0 [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 v0.4.23 [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 v1.12.0 [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 v1.9.1+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 [efcefdf7] + PCRE2_jll v10.45.0+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 4.41s ################################################################################ # 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_Ku8Nj4" (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 1139.63s ################################################################################ # Testing # Testing SymbolicRegression Status `/tmp/jl_ulA4Ii/Project.toml` [4c88cf16] Aqua v0.8.13 ⌃ [8ce10254] Bumper v0.6.0 [34da2185] Compat v4.17.0 [a0c0ee7d] DifferentiationInterface v0.7.1 [8d63f2c5] DispatchDoctor v0.4.23 ⌅ [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 v1.12.0 [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_ulA4Ii/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 v1.25.2 [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 v4.17.0 [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 v0.4.23 [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 v1.12.0 [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 v1.9.1+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 [efcefdf7] PCRE2_jll v10.45.0+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... ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:69 ┌ Warning: You are using dimensional constraints, but `dimensional_constraint_penalty` was not set. The default penalty of `1000.0` will be used. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:73 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 3.234e+01 0.000e+00 y = 10.434[?] 3 5.135e-01 2.071e+00 y = x₁[kg] * 1.0096[?] 5 5.120e-01 1.493e-03 y = custom_op(-0.082785[?], x₁[kg] * 1.0158[?]) 7 5.058e-01 6.150e-03 y = 2.1066[?] / ((2.1482[?] / x₁[kg]) - 0.0041241[?]) 8 3.176e-19 4.191e+01 y = custom_op(cos(x₁[kg] / 1[?]), x₁[kg] * 1[?]) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - outputs/20250704_162825_v5wzpH/hall_of_fame.csv Precompiling packages... 3384.5 ms ✓ KernelAbstractions → SparseArraysExt 27342.0 ms ✓ NNlib 10665.4 ms ✓ Distributions 3312.2 ms ✓ NNlib → NNlibSpecialFunctionsExt 27649.0 ms ✓ MLUtils 4494.3 ms ✓ Distributions → DistributionsTestExt 4923.5 ms ✓ Distributions → DistributionsChainRulesCoreExt 9053.8 ms ✓ ScientificTypes 21546.2 ms ✓ StatisticalMeasuresBase 8300.9 ms ✓ CategoricalDistributions 16111.2 ms ✓ MLJBase 11 dependencies successfully precompiled in 139 seconds. 135 already precompiled. Precompiling packages... 5865.0 ms ✓ LossFunctions → LossFunctionsCategoricalArraysExt 1 dependency successfully precompiled in 6 seconds. 14 already precompiled. Precompiling packages... 6118.8 ms ✓ DynamicQuantities → DynamicQuantitiesScientificTypesExt 1 dependency successfully precompiled in 7 seconds. 71 already precompiled. Precompiling packages... 3496.9 ms ✓ NNlib → NNlibForwardDiffExt 1 dependency successfully precompiled in 4 seconds. 49 already precompiled. ┌ Warning: `EquationSearch(X::AbstractMatrix{T1}, y::AbstractVector{T2}; kw...) where {T1, T2}` is deprecated, use `equation_search(X, y; kw...)` instead. │ caller = top-level scope at test_units.jl:216 └ @ Core ~/.julia/packages/SymbolicRegression/qoxyo/test/test_units.jl:216 ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:69 ┌ Warning: You are using dimensional constraints, but `dimensional_constraint_penalty` was not set. The default penalty of `1000.0` will be used. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:73 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 0.000e+00 0.000e+00 y[m²] = x₂[m] * x₂[m] ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - outputs/20250704_163252_uTibm3/hall_of_fame.csv ┌ Warning: `EquationSearch(X::AbstractMatrix{T1}, y::AbstractVector{T2}; kw...) where {T1, T2}` is deprecated, use `equation_search(X, y; kw...)` instead. │ caller = top-level scope at test_units.jl:240 └ @ Core ~/.julia/packages/SymbolicRegression/qoxyo/test/test_units.jl:240 ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:69 ┌ Warning: You are using dimensional constraints, but `dimensional_constraint_penalty` was not set. The default penalty of `1000.0` will be used. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:73 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 8.021e-01 0.000e+00 y[kg] = 0.77509[?] 3 7.782e-01 1.510e-02 y[kg] = sqrt(abs(x₂[kg²])) 4 1.402e-01 1.714e+00 y[kg] = cbrt(x₁[kg³]) + 0.85276[?] 6 0.000e+00 3.722e+02 y[kg] = cbrt(x₁[kg³]) + sqrt(abs(x₂[kg²])) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - outputs/20250704_163324_31DU2t/hall_of_fame.csv [ 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/qoxyo/src/Configure.jl:69 ┌ Warning: You are using dimensional constraints, but `dimensional_constraint_penalty` was not set. The default penalty of `1000.0` will be used. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:73 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 1.013e+00 0.000e+00 y[kg] = 0.7021[?] 2 8.454e-01 1.812e-01 y[kg] = cbrt(x1[kg³]) 3 8.016e-01 5.312e-02 y[kg] = sqrt(abs(x2[kg²])) 4 1.214e-01 1.887e+00 y[kg] = cbrt(x1[kg³]) + 0.85085[?] 6 0.000e+00 3.722e+02 y[kg] = sqrt(abs(x2[kg²])) + cbrt(x1[kg³]) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - outputs/20250704_163410_1ekIhY/hall_of_fame.csv [ 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/qoxyo/src/Configure.jl:69 ┌ Warning: You are using dimensional constraints, but `dimensional_constraint_penalty` was not set. The default penalty of `1000.0` will be used. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:73 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 9.788e-01 0.000e+00 y[kg] = 0.76622[?] 2 8.535e-01 1.370e-01 y[kg] = cbrt(x1[kg³]) 3 8.012e-01 6.326e-02 y[kg] = sqrt(abs(x2[kg²])) 4 1.373e-01 1.764e+00 y[kg] = cbrt(x1[kg³]) + 0.84631[?] 6 0.000e+00 3.722e+02 y[kg] = sqrt(abs(x2[kg²])) + cbrt(x1[kg³]) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - outputs/20250704_163432_rUQ2jO/hall_of_fame.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/qoxyo/src/Configure.jl:69 ┌ Warning: You are using dimensional constraints, but `dimensional_constraint_penalty` was not set. The default penalty of `1000.0` will be used. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:73 [ Info: Started! Expressions evaluated per second: 3.310e+04 Progress: 201 / 6200 total iterations (3.242%) ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 1 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 9.955e-01 0.000e+00 y₁[kg] = 0.80698[?] 3 8.995e-01 5.074e-02 y₁[kg] = x1 * 0.92951[?] 4 7.296e-01 2.094e-01 y₁[kg] = cbrt(x1 * 1.2804[?]) 5 1.754e-01 1.425e+00 y₁[kg] = (x1 * 0.97494[?]) + 0.85194[?] 6 9.637e-02 5.991e-01 y₁[kg] = (cbrt(x1) * 1.0752[?]) + 0.79579[?] 7 5.606e-02 5.418e-01 y₁[kg] = (abs(x2) + cbrt(x1)) * 0.94259[?] 8 9.831e-03 1.741e+00 y₁[kg] = (cbrt(x1) + cbrt(abs(x2))) * 0.99567[?] 10 9.099e-03 3.868e-02 y₁[kg] = cbrt(abs(x2 * 0.92089[?])) + (cbrt(x1) * 1.0... 181[?]) 11 9.832e-04 2.225e+00 y₁[kg] = (cbrt(x1) + cbrt(abs(x2 * cbrt(x2)))) * 1.00... 03[?] 14 8.331e-05 8.228e-01 y₁[kg] = cbrt(1.0179[?] * x1) + abs(cbrt(x2 * sqrt(ab... s(x2) * 1.0502[?]))) 15 4.602e-05 5.934e-01 y₁[kg] = cbrt(x1 * 1.0179[?]) + abs(cbrt((sqrt(abs(x2... )) * x2) * cbrt(1.0415[?]))) 16 0.000e+00 7.444e+02 y₁[kg] = (cbrt(x1) + cbrt(abs(abs(cbrt(sqrt(abs(x2)) ... * x2) * x2)))) * 1[?] ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 2 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 8.628e-01 0.000e+00 y₂ = -0.046118[?] 2 1.186e-01 1.985e+00 y₂ = cbrt(x1) 3 0.000e+00 7.444e+02 y₂ = x1 + 0[?] ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Press 'q' and then to stop execution early. [ Info: Final populations: [ Info: Output 1: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 9.955e-01 0.000e+00 y₁[kg] = 0.80698[?] 3 8.995e-01 5.074e-02 y₁[kg] = x1 * 0.92951[?] 4 7.296e-01 2.094e-01 y₁[kg] = cbrt(x1 * 1.2804[?]) 5 1.754e-01 1.425e+00 y₁[kg] = (x1 * 0.97494[?]) + 0.85194[?] 6 9.637e-02 5.991e-01 y₁[kg] = (cbrt(x1) * 1.0752[?]) + 0.79579[?] 7 5.606e-02 5.418e-01 y₁[kg] = (abs(x2) + cbrt(x1)) * 0.94259[?] 8 0.000e+00 7.444e+02 y₁[kg] = (cbrt(x1) + sqrt(abs(x2))) * 1[?] ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 8.628e-01 0.000e+00 y₂ = -0.046118[?] 2 1.186e-01 1.985e+00 y₂ = cbrt(x1) 3 0.000e+00 7.444e+02 y₂ = x1 + 0[?] ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - outputs/20250704_163444_tY455D/hall_of_fame_output1.csv - outputs/20250704_163444_tY455D/hall_of_fame_output2.csv [ Info: Updating 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/qoxyo/src/Configure.jl:69 ┌ Warning: You are using dimensional constraints, but `dimensional_constraint_penalty` was not set. The default penalty of `1000.0` will be used. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:73 [ Info: Started! [ Info: Final populations: [ Info: Output 1: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 9.955e-01 0.000e+00 y₁[kg] = 0.80698[?] 3 8.995e-01 5.074e-02 y₁[kg] = x1 * 0.92951[?] 4 7.296e-01 2.094e-01 y₁[kg] = cbrt(x1 * 1.2804[?]) 5 1.754e-01 1.425e+00 y₁[kg] = (x1 * 0.97494[?]) + 0.85194[?] 6 9.637e-02 5.991e-01 y₁[kg] = (cbrt(x1) * 1.0752[?]) + 0.79579[?] 7 5.606e-02 5.418e-01 y₁[kg] = (abs(x2) + cbrt(x1)) * 0.94259[?] 8 0.000e+00 7.444e+02 y₁[kg] = (cbrt(x1) + sqrt(abs(x2))) * 1[?] ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 8.628e-01 0.000e+00 y₂ = -0.046118[?] 2 1.186e-01 1.985e+00 y₂ = cbrt(x1) 3 0.000e+00 7.444e+02 y₂ = x1 + 0[?] ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - outputs/20250704_163502_phYDxM/hall_of_fame_output1.csv - outputs/20250704_163502_phYDxM/hall_of_fame_output2.csv ┌ Warning: The `expression_type`, `expression_options`, and `node_type` arguments are deprecated. Use `expression_spec` instead, which populates these automatically. │ caller = top-level scope at test_graph_nodes.jl:41 └ @ Core ~/.julia/packages/SymbolicRegression/qoxyo/test/test_graph_nodes.jl:41 ┌ Warning: The `expression_type`, `expression_options`, and `node_type` arguments are deprecated. Use `expression_spec` instead, which populates these automatically. │ caller = top-level scope at test_graph_nodes.jl:65 └ @ Core ~/.julia/packages/SymbolicRegression/qoxyo/test/test_graph_nodes.jl:65 ┌ Warning: The `expression_type`, `expression_options`, and `node_type` arguments are deprecated. Use `expression_spec` instead, which populates these automatically. │ caller = top-level scope at test_graph_nodes.jl:98 └ @ Core ~/.julia/packages/SymbolicRegression/qoxyo/test/test_graph_nodes.jl:98 Precompiling packages... 12094.1 ms ✓ ChainRules 60635.0 ms ✓ Zygote 2 dependencies successfully precompiled in 73 seconds. 64 already precompiled. Precompiling packages... 2044.2 ms ✓ StructArrays → StructArraysStaticArraysExt 1 dependency successfully precompiled in 2 seconds. 19 already precompiled. Precompiling packages... 2855.6 ms ✓ StructArrays → StructArraysGPUArraysCoreExt 1 dependency successfully precompiled in 3 seconds. 36 already precompiled. Precompiling packages... 1494.3 ms ✓ ArrayInterface → ArrayInterfaceChainRulesExt 1 dependency successfully precompiled in 2 seconds. 40 already precompiled. Precompiling packages... 5825.0 ms ✓ DynamicExpressions → DynamicExpressionsZygoteExt 1 dependency successfully precompiled in 6 seconds. 71 already precompiled. Precompiling packages... 5901.5 ms ✓ DifferentiationInterface → DifferentiationInterfaceZygoteExt 1 dependency successfully precompiled in 6 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"##329" ~/.julia/packages/SymbolicRegression/qoxyo/test/test_expression_derivatives.jl:120 ┌ Warning: Creating a node using a string is deprecated and will be removed in a future version. │ caller = ip:0x0 └ @ Core :-1 Precompiling packages... 11000.9 ms ✓ DynamicExpressions → DynamicExpressionsSymbolicUtilsExt 1 dependency successfully precompiled in 12 seconds. 90 already precompiled. Testing derivatives with respect to variables, with type=Float16. Done. Testing derivatives with respect to constants, with type=Float16. Done. Testing derivatives with respect to variables, with type=Float32. Done. Testing derivatives with respect to constants, with type=Float32. Done. Testing derivatives with respect to variables, with type=Float64. Done. Testing derivatives with respect to constants, with type=Float64. Done. Testing NodeIndex. ┌ Warning: `index_constants(tree::Union{AbstractExpression, AbstractExpressionNode}, T::Type = UInt16)` is deprecated, use `index_constant_nodes(tree, T)` instead. │ caller = index_constants(tree::DynamicExpressions.NodeModule.Node{Float32}) at deprecated.jl:214 └ @ Core ./deprecated.jl:214 Done. ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:69 [ Info: Started! ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 223 running 1 of 1 signal (10): User defined signal 1 _ZNK4llvm5Value15getMetadataImplEj at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN12_GLOBAL__N_18Verifier16visitInstructionERN4llvm11InstructionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN12_GLOBAL__N_18Verifier6verifyERKN4llvm8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm14verifyFunctionERKNS_8FunctionEPNS_11raw_ostreamE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) verifyLLVMIR at /source/src/pipeline.cpp:898 runOnLoop at /source/src/llvm-julia-licm.cpp:356 run at /source/src/llvm-julia-licm.cpp:381 run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE13runSinglePassIS1_St10unique_ptrINS_6detail11PassConceptIS1_S5_JS4_S7_EEESt14default_deleteISD_EEEESt8optionalINS_17PreservedAnalysesEERT_RT0_RS5_S4_S7_RNS_19PassInstrumentationE.isra.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE24runWithoutLoopNestPassesERS1_RS5_S4_S7_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE3runERS1_RS5_S4_S7_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm25FunctionToLoopPassAdaptor3runERNS_8FunctionERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_8FunctionENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm27ModuleToFunctionPassAdaptor3runERNS_6ModuleERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_6ModuleENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/src/pipeline.cpp:791 operator() at /source/src/jitlayers.cpp:1518 withModuleDo<(anonymous namespace)::sizedOptimizerT::operator()(llvm::orc::ThreadSafeModule) [with long unsigned int N = 4]:: > at /source/usr/include/llvm/ExecutionEngine/Orc/ThreadSafeModule.h:136 [inlined] operator() at /source/src/jitlayers.cpp:1479 [inlined] operator() at /source/src/jitlayers.cpp:1631 [inlined] addModule at /source/src/jitlayers.cpp:2088 jl_compile_codeinst_now at /source/src/jitlayers.cpp:683 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:883 jl_compile_method_internal at /source/src/gf.c:3212 _jl_invoke at /source/src/gf.c:3684 [inlined] ijl_apply_generic at /source/src/gf.c:3892 macro expansion at /home/pkgeval/.julia/packages/SymbolicRegression/qoxyo/src/SymbolicRegression.jl:799 [inlined] #_warmup_search!##2 at /home/pkgeval/.julia/packages/SymbolicRegression/qoxyo/src/SearchUtils.jl:266 unknown function (ip: 0x7f0e4409281c) at (unknown file) _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 ============================================================== ====================================================================================== 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_62247.1 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 0x00007dbb956c50f0 Total snapshots: 461. Utilization: 0% ╎461 @Base/task.jl:1150 wait_forever() 460╎ 461 @Base/task.jl:1213 wait() [223] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SymbolicRegression/qoxyo/test/test_print.jl:26 iterate_compact at ./../usr/share/julia/Compiler/src/ssair/ir.jl:1877 PkgEval terminated after 2727.93s: test duration exceeded the time limit