Package evaluation to test LibraryAugmentedSymbolicRegression on Julia 1.14.0-DEV.1893 (b4aba01002*) started at 2026-03-20T04:32:11.338 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.04s ################################################################################ # Installation # Installing LibraryAugmentedSymbolicRegression... Resolving package versions... Installed DiffResults ──────────────────────── v1.1.0 Installed URIs ─────────────────────────────── v1.6.1 Installed MacroTools ───────────────────────── v0.5.16 Installed AbstractTrees ────────────────────── v0.4.5 Installed FillArrays ───────────────────────── v1.16.0 Installed Tricks ───────────────────────────── v0.1.13 Installed AliasTables ──────────────────────── v1.1.3 Installed DataStructures ───────────────────── v0.19.3 Installed ConstructionBase ─────────────────── v1.6.0 Installed ForwardDiff ──────────────────────── v0.10.39 Installed Adapt ────────────────────────────── v4.5.0 Installed StreamCallbacks ──────────────────── v0.5.2 Installed StatsBase ────────────────────────── v0.34.10 Installed Optim ────────────────────────────── v1.11.0 Installed ConcurrentUtilities ──────────────── v2.5.1 Installed CodecZlib ────────────────────────── v0.7.8 Installed ExceptionUnwrapping ──────────────── v0.1.11 Installed OrderedCollections ───────────────── v1.8.1 Installed Compat ───────────────────────────── v4.18.1 Installed TranscodingStreams ───────────────── v0.11.3 Installed SymbolicRegression ───────────────── v1.8.0 Installed ArrayInterface ───────────────────── v7.23.0 Installed DataAPI ──────────────────────────── v1.16.0 Installed PositiveFactorizations ───────────── v0.2.4 Installed Statistics ───────────────────────── v1.11.1 Installed StatsAPI ─────────────────────────── v1.8.0 Installed MbedTLS ──────────────────────────── v1.1.10 Installed CommonSubexpressions ─────────────── v0.3.1 Installed StaticArraysCore ─────────────────── v1.4.4 Installed OpenSSL ──────────────────────────── v1.6.1 Installed ProgressMeter ────────────────────── v1.11.0 Installed LoggingExtras ────────────────────── v1.2.0 Installed ChainRulesCore ───────────────────── v1.26.0 Installed PrecompileTools ──────────────────── v1.3.3 Installed DynamicDiff ──────────────────────── v0.2.1 Installed DispatchDoctor ───────────────────── v0.4.28 Installed IrrationalConstants ──────────────── v0.2.6 Installed NaNMath ──────────────────────────── v1.1.3 Installed OpenSpecFun_jll ──────────────────── v0.5.6+0 Installed JSON3 ────────────────────────────── v1.14.3 Installed OpenAI ───────────────────────────── v0.9.1 Installed Requires ─────────────────────────── v1.3.1 Installed DynamicQuantities ────────────────── v1.12.0 Installed HTTP ─────────────────────────────── v1.11.0 Installed LogExpFunctions ──────────────────── v0.3.29 Installed BitFlags ─────────────────────────── v0.1.9 Installed DiffRules ────────────────────────── v1.15.1 Installed Parsers ──────────────────────────── v2.8.3 Installed JSON ─────────────────────────────── v0.21.4 Installed PackageExtensionCompat ───────────── v1.0.2 Installed Interfaces ───────────────────────── v0.3.2 Installed NLSolversBase ────────────────────── v7.10.0 Installed SpecialFunctions ─────────────────── v2.7.1 Installed PtrArrays ────────────────────────── v1.4.0 Installed FiniteDiff ───────────────────────── v2.29.0 Installed Parameters ───────────────────────── v0.12.3 Installed Setfield ─────────────────────────── v1.1.2 Installed LossFunctions ────────────────────── v1.2.0 Installed PromptingTools ───────────────────── v0.72.3 Installed Reexport ─────────────────────────── v1.2.2 Installed Missings ─────────────────────────── v1.2.0 Installed SimpleBufferStream ───────────────── v1.2.0 Installed ScientificTypesBase ──────────────── v3.1.0 Installed Preferences ──────────────────────── v1.5.2 Installed JLLWrappers ──────────────────────── v1.7.1 Installed DynamicExpressions ───────────────── v1.9.4 Installed MbedTLS_jll ──────────────────────── v2.28.1010+0 Installed LineSearches ─────────────────────── v7.5.1 Installed TestItems ────────────────────────── v1.0.0 Installed LibraryAugmentedSymbolicRegression ─ v0.3.0 Installed SortingAlgorithms ────────────────── v1.2.2 Installed UnPack ───────────────────────────── v1.0.2 Installed StructTypes ──────────────────────── v1.11.0 Installed StatisticalTraits ────────────────── v3.5.0 Installed ADTypes ──────────────────────────── v1.21.0 Installed DocStringExtensions ──────────────── v0.9.5 Installed MLJModelInterface ────────────────── v1.11.1 Installed DifferentiationInterface ─────────── v0.6.54 Installing 2 artifacts Installed artifact OpenSpecFun 194.9 KiB Installed artifact MbedTLS 2.2 MiB Updating `~/.julia/environments/v1.14/Project.toml` [158930c3] + LibraryAugmentedSymbolicRegression v0.3.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.21.0 [1520ce14] + AbstractTrees v0.4.5 [79e6a3ab] + Adapt v4.5.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.23.0 [d1d4a3ce] + BitFlags v0.1.9 [d360d2e6] + ChainRulesCore v1.26.0 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [f0e56b4a] + ConcurrentUtilities v2.5.1 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.3 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 ⌅ [a0c0ee7d] + DifferentiationInterface v0.6.54 [8d63f2c5] + DispatchDoctor v0.4.28 [ffbed154] + DocStringExtensions v0.9.5 ⌅ [7317a516] + DynamicDiff v0.2.1 ⌅ [a40a106e] + DynamicExpressions v1.9.4 [06fc5a27] + DynamicQuantities v1.12.0 [460bff9d] + ExceptionUnwrapping v0.1.11 [1a297f60] + FillArrays v1.16.0 [6a86dc24] + FiniteDiff v2.29.0 ⌅ [f6369f11] + ForwardDiff v0.10.39 [cd3eb016] + HTTP v1.11.0 [85a1e053] + Interfaces v0.3.2 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 ⌅ [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [158930c3] + LibraryAugmentedSymbolicRegression v0.3.0 ⌃ [d3d80556] + LineSearches v7.5.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [30fc2ffe] + LossFunctions v1.2.0 ⌅ [e80e1ace] + MLJModelInterface v1.11.1 [1914dd2f] + MacroTools v0.5.16 [739be429] + MbedTLS v1.1.10 [e1d29d7a] + Missings v1.2.0 ⌅ [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 ⌅ [e9f21f70] + OpenAI v0.9.1 [4d8831e6] + OpenSSL v1.6.1 ⌅ [429524aa] + Optim v1.11.0 [bac558e1] + OrderedCollections v1.8.1 [65ce6f38] + PackageExtensionCompat v1.0.2 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.3 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.2 [92933f4c] + ProgressMeter v1.11.0 ⌅ [670122d1] + PromptingTools v0.72.3 [43287f4e] + PtrArrays v1.4.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [30f210dd] + ScientificTypesBase v3.1.0 [efcf1570] + Setfield v1.1.2 [777ac1f9] + SimpleBufferStream v1.2.0 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.7.1 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.10 ⌅ [c1b9e933] + StreamCallbacks v0.5.2 [856f2bd8] + StructTypes v1.11.0 ⌃ [8254be44] + SymbolicRegression v1.8.0 [1c621080] + TestItems v1.0.0 [3bb67fe8] + TranscodingStreams v0.11.3 [410a4b4d] + Tricks v0.1.13 [5c2747f8] + URIs v1.6.1 [3a884ed6] + UnPack v1.0.2 [c8ffd9c3] + MbedTLS_jll v2.28.1010+0 [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 v1.13.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.18.0+1 [e37daf67] + LibGit2_jll v1.9.2+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.30+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.5+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.68.0+1 [3f19e933] + p7zip_jll v17.8.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 10.34s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 6563.0 ms ✓ TestEnv 1 dependency successfully precompiled in 7 seconds. 27 already precompiled. 26 dependencies precompiled but different versions are currently loaded (ArgTools, Base64, Dates, Downloads, JuliaSyntaxHighlighting, LibCURL, LibCURL_jll, LibGit2, LibGit2_jll, LibSSH2_jll, Logging, Markdown, MozillaCACerts_jll, NetworkOptions, OpenSSL_jll, PCRE2_jll, Pkg, Printf, StyledStrings, TOML, Tar, UUIDs, Zlib_jll, Zstd_jll, nghttp2_jll and p7zip_jll). Restart julia to access the new versions. Otherwise, 1 dependent of these packages may trigger further precompilation to work with the unexpected versions. Precompiling package dependencies... Precompiling packages... 5518.0 ms ✓ MacroTools 1053.4 ms ✓ Reexport 1629.7 ms ✓ ConstructionBase 2633.9 ms ✓ IrrationalConstants 1263.0 ms ✓ PrettyPrint 1186.8 ms ✓ DataValueInterfaces 1302.0 ms ✓ StatsAPI 3552.3 ms ✓ Combinatorics 1213.9 ms ✓ ArgCheck 1127.2 ms ✓ TermInterface 1452.0 ms ✓ TranscodingStreams 1099.5 ms ✓ LaTeXStrings 3022.6 ms ✓ Baselet 957.2 ms ✓ TestItems 1247.0 ms ✓ Interfaces 1543.3 ms ✓ Statistics 1238.8 ms ✓ Tricks 1324.0 ms ✓ StaticArraysCore 1081.6 ms ✓ StableRNGs 1031.5 ms ✓ PtrArrays 954.7 ms ✓ SimpleBufferStream 1030.9 ms ✓ TaskLocalValues 1425.6 ms ✓ PositiveFactorizations 1145.0 ms ✓ DataAPI 4367.3 ms ✓ ExproniconLite 1473.3 ms ✓ URIs 3977.8 ms ✓ UnsafeAtomics 3252.5 ms ✓ ShowCases 32076.8 ms ✓ MLStyle 938.1 ms ✓ InvertedIndices 1078.6 ms ✓ InverseFunctions 1320.1 ms ✓ BitFlags 969.2 ms ✓ CompositionsBase 1308.4 ms ✓ AbstractTrees 1840.1 ms ✓ InitialValues 3299.6 ms ✓ PrettyPrinting 1324.1 ms ✓ ComputationalResources 1146.5 ms ✓ Bijections 2593.9 ms ✓ FillArrays 1150.6 ms ✓ ExprTools 880.8 ms ✓ UnPack 1581.9 ms ✓ OrderedCollections 1054.6 ms ✓ HashArrayMappedTries 1620.2 ms ✓ ADTypes 1377.7 ms ✓ DocStringExtensions 854.4 ms ✓ DefineSingletons 761.5 ms ✓ IteratorInterfaceExtensions 889.4 ms ✓ PackageExtensionCompat 2217.1 ms ✓ Crayons 1007.0 ms ✓ DelimitedFiles 1085.9 ms ✓ NaNMath 1621.7 ms ✓ ConcurrentUtilities 2348.0 ms ✓ PDMats 978.5 ms ✓ Suppressor 1847.4 ms ✓ ProgressMeter 1363.9 ms ✓ Requires 1513.5 ms ✓ Scratch 2759.1 ms ✓ SentinelArrays 2030.2 ms ✓ StructTypes 1583.1 ms ✓ LoggingExtras 1364.3 ms ✓ Compat 1687.5 ms ✓ Preferences 1398.7 ms ✓ ScientificTypesBase 1549.7 ms ✓ ExceptionUnwrapping 14115.1 ms ✓ MutableArithmetics 1770.1 ms ✓ CommonSubexpressions 3070.1 ms ✓ SimpleTraits 759.1 ms ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 769.3 ms ✓ NameResolution 869.2 ms ✓ CodecZlib 24299.4 ms ✓ TestItemRunner 1595.2 ms ✓ Statistics → SparseArraysExt 4424.2 ms ✓ FixedPointNumbers 1557.4 ms ✓ Distances 1956.8 ms ✓ EarlyStopping 2047.5 ms ✓ LossFunctions 865.0 ms ✓ DiffResults 1088.8 ms ✓ AliasTables 1031.9 ms ✓ Missings 1066.2 ms ✓ Atomix 1390.1 ms ✓ InverseFunctions → InverseFunctionsDatesExt 2854.8 ms ✓ InverseFunctions → InverseFunctionsTestExt 5070.9 ms ✓ OpenSSL 972.6 ms ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 1912.7 ms ✓ FillArrays → FillArraysSparseArraysExt 1010.5 ms ✓ FillArrays → FillArraysStatisticsExt 3692.6 ms ✓ TimerOutputs 1411.3 ms ✓ RuntimeGeneratedFunctions 1076.1 ms ✓ Parameters 3712.4 ms ✓ DataStructures 935.5 ms ✓ ScopedValues 754.2 ms ✓ ADTypes → ADTypesConstructionBaseExt 1849.6 ms ✓ DifferentiationInterface 1406.8 ms ✓ LogExpFunctions 753.5 ms ✓ TableTraits 1797.4 ms ✓ FillArrays → FillArraysPDMatsExt 1055.3 ms ✓ Adapt 1742.6 ms ✓ RelocatableFolders 923.9 ms ✓ Compat → CompatLinearAlgebraExt 1615.3 ms ✓ PrecompileTools 2098.7 ms ✓ JLLWrappers 2996.4 ms ✓ LearnAPI 5724.4 ms ✓ DispatchDoctor 1923.1 ms ✓ StatisticalTraits 1719.5 ms ✓ Unityper 3702.7 ms ✓ Setfield 13167.7 ms ✓ JuliaVariables 3592.6 ms ✓ ColorTypes 2154.2 ms ✓ Distances → DistancesSparseArraysExt 4143.0 ms ✓ IterationControl 6560.9 ms ✓ Accessors 1300.0 ms ✓ SortingAlgorithms 2615.0 ms ✓ QuadGK 5489.0 ms ✓ MultivariatePolynomials 1691.9 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt 885.3 ms ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 2023.1 ms ✓ Tables 1204.7 ms ✓ ArrayInterface 1551.0 ms ✓ Adapt → AdaptSparseArraysExt 1529.3 ms ✓ GPUArraysCore 3203.8 ms ✓ ChainRulesCore 3055.4 ms ✓ FilePathsBase 8488.2 ms ✓ Aqua 1463.6 ms ✓ ContextVariablesX 5170.7 ms ✓ CategoricalArrays 5439.4 ms ✓ StringManipulation 16650.3 ms ✓ StaticArrays 3633.8 ms ✓ RecipesBase 18580.3 ms ✓ Parsers 2579.0 ms ✓ Rmath_jll 2306.7 ms ✓ OpenSpecFun_jll 2520.2 ms ✓ MbedTLS_jll 10898.6 ms ✓ DynamicQuantities 3471.5 ms ✓ MLJModelInterface 3801.1 ms ✓ SplittablesBase 1386.2 ms ✓ ColorTypes → StyledStringsExt 2177.1 ms ✓ Accessors → TestExt 2964.8 ms ✓ Accessors → LinearAlgebraExt 5358.3 ms ✓ StatsBase 5617.3 ms ✓ DynamicPolynomials 1962.9 ms ✓ TableOperations 4249.8 ms ✓ MLCore 1008.0 ms ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt 1773.2 ms ✓ ArrayInterface → ArrayInterfaceSparseArraysExt 1054.3 ms ✓ DifferentiationInterface → DifferentiationInterfaceGPUArraysCoreExt 1071.3 ms ✓ ArrayInterface → ArrayInterfaceGPUArraysCoreExt 1781.8 ms ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 2301.8 ms ✓ ADTypes → ADTypesChainRulesCoreExt 1532.3 ms ✓ Distances → DistancesChainRulesCoreExt 1380.4 ms ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt 3835.7 ms ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 2061.9 ms ✓ DispatchDoctor → DispatchDoctorChainRulesCoreExt 5756.8 ms ✓ MultivariatePolynomials → MultivariatePolynomialsChainRulesCoreExt 941.7 ms ✓ ArrayInterface → ArrayInterfaceChainRulesCoreExt 3711.5 ms ✓ FilePathsBase → FilePathsBaseTestExt 1482.8 ms ✓ FilePathsBase → FilePathsBaseMmapExt 1429.2 ms ✓ FLoopsBase 1759.0 ms ✓ CategoricalArrays → CategoricalArraysSentinelArraysExt 1939.3 ms ✓ CategoricalArrays → CategoricalArraysStructTypesExt 1838.8 ms ✓ LossFunctions → LossFunctionsCategoricalArraysExt 43194.2 ms ✓ PrettyTables 3303.6 ms ✓ BitBasis 2080.6 ms ✓ StaticArrays → StaticArraysStatisticsExt 2334.0 ms ✓ StaticArrays → StaticArraysChainRulesCoreExt 2390.7 ms ✓ ConstructionBase → ConstructionBaseStaticArraysExt 2054.4 ms ✓ FillArrays → FillArraysStaticArraysExt 2033.4 ms ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt 1890.9 ms ✓ Adapt → AdaptStaticArraysExt 1913.2 ms ✓ Accessors → StaticArraysExt 2020.8 ms ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 17702.8 ms ✓ JSON3 7056.8 ms ✓ JSON 5504.8 ms ✓ ARFFFiles 2344.1 ms ✓ Rmath 7640.5 ms ✓ SpecialFunctions 2790.3 ms ✓ MbedTLS 2427.3 ms ✓ DynamicQuantities → DynamicQuantitiesLinearAlgebraExt 3642.2 ms ✓ FeatureSelection 2568.9 ms ✓ BangBang 2065.7 ms ✓ LatinHypercubeSampling 1557.3 ms ✓ PDMats → StatsBaseExt 1594.9 ms ✓ CategoricalArrays → CategoricalArraysStatsBaseExt 1327.1 ms ✓ FiniteDiff 3992.0 ms ✓ SymbolicIndexingInterface 22293.4 ms ✓ DynamicExpressions 10227.1 ms ✓ KernelAbstractions 1852.0 ms ✓ CategoricalArrays → CategoricalArraysJSONExt 5904.0 ms ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 5488.1 ms ✓ HypergeometricFunctions 2103.5 ms ✓ DiffRules 33481.1 ms ✓ HTTP 2124.1 ms ✓ BangBang → BangBangChainRulesCoreExt 1901.7 ms ✓ BangBang → BangBangTablesExt 2360.1 ms ✓ BangBang → BangBangStaticArraysExt 3470.9 ms ✓ MicroCollections 2103.3 ms ✓ FiniteDiff → FiniteDiffStaticArraysExt 1485.6 ms ✓ FiniteDiff → FiniteDiffSparseArraysExt 1163.0 ms ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt 4392.9 ms ✓ SymbolicIndexingInterface → SymbolicIndexingInterfacePrettyTablesExt 3944.7 ms ✓ KernelAbstractions → SparseArraysExt 3834.8 ms ✓ KernelAbstractions → LinearAlgebraExt 51047.1 ms ✓ SymbolicUtils 3944.6 ms ✓ StatsFuns 8547.4 ms ✓ ForwardDiff 13394.6 ms ✓ StreamCallbacks 4397.0 ms ✓ OpenAI 8662.5 ms ✓ MLFlowClient 4830.2 ms ✓ OpenML 9395.9 ms ✓ Transducers 18099.2 ms ✓ NNlib 8185.4 ms ✓ DynamicExpressions → DynamicExpressionsSymbolicUtilsExt 4210.7 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 1532.9 ms ✓ StatsFuns → StatsFunsInverseFunctionsExt 11437.9 ms ✓ Distributions 2689.5 ms ✓ ForwardDiff → ForwardDiffStaticArraysExt 2143.2 ms ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 4968.1 ms ✓ DynamicDiff ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 ┌ Warning: RAGTools will be moved into a dedicated package from PromptingTools v0.75 onward. │ Please adjust your code accordingly, see https://github.com/JuliaGenAI/RAGTools.jl └ @ PromptingTools.Experimental.RAGTools ~/.julia/packages/PromptingTools/M1mWQ/src/Experimental/RAGTools/RAGTools.jl:59 44247.6 ms ✓ PromptingTools 3058.4 ms ✓ Transducers → TransducersAdaptExt 19260.6 ms ✓ FLoops 3552.6 ms ✓ NNlib → NNlibSpecialFunctionsExt 3926.4 ms ✓ NNlib → NNlibForwardDiffExt 5513.1 ms ✓ Distributions → DistributionsTestExt 4976.9 ms ✓ Distributions → DistributionsChainRulesCoreExt 8772.0 ms ✓ ScientificTypes 3242.0 ms ✓ NLSolversBase ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 19929.7 ms ✓ PromptingTools → RAGToolsExperimentalExt ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 19329.2 ms ✓ PromptingTools → MarkdownPromptingToolsExt 25895.0 ms ✓ MLUtils 7557.2 ms ✓ DynamicQuantities → DynamicQuantitiesScientificTypesExt 13044.9 ms ✓ CategoricalDistributions 15782.9 ms ✓ MLJTransforms 3139.7 ms ✓ LineSearches 20944.9 ms ✓ StatisticalMeasuresBase 20754.2 ms ✓ MLJModels 7940.6 ms ✓ Optim 46060.3 ms ✓ StatisticalMeasures 13271.1 ms ✓ MLJEnsembles 27546.6 ms ✓ MLJBase 5591.4 ms ✓ DynamicExpressions → DynamicExpressionsOptimExt 22144.7 ms ✓ StatisticalMeasures → ScientificTypesExt 21047.8 ms ✓ StatisticalMeasures → LossFunctionsExt 15157.5 ms ✓ MLJBase → DefaultMeasuresExt 20205.6 ms ✓ MLJBalancing 21967.7 ms ✓ MLJTestInterface 17867.6 ms ✓ MLJIteration 15984.8 ms ✓ MLJFlow 22169.7 ms ✓ MLJTuning 212657.1 ms ✓ SymbolicRegression 25553.0 ms ✓ MLJ 44743.7 ms ✓ SymbolicRegression → SymbolicRegressionSymbolicUtilsExt 35690.4 ms ✓ SymbolicRegression → SymbolicRegressionJSON3Ext WARNING: Constructor for type "LaSROptions" was extended in `LLMOptionsModule` without explicit qualification or import.  NOTE: Assumed "LaSROptions" refers to `LLMOptionsStructModule.LaSROptions`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function LaSROptions end`.  Hint: To silence the warning, qualify `LaSROptions` as `LLMOptionsStructModule.LaSROptions` in the method signature or explicitly `import LLMOptionsStructModule: LaSROptions`. WARNING: Constructor for type "LaSROptions" was extended in `LLMOptionsModule` without explicit qualification or import.  NOTE: Assumed "LaSROptions" refers to `LLMOptionsStructModule.LaSROptions`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function LaSROptions end`.  Hint: To silence the warning, qualify `LaSROptions` as `LLMOptionsStructModule.LaSROptions` in the method signature or explicitly `import LLMOptionsStructModule: LaSROptions`. ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 162313.0 ms ✓ LibraryAugmentedSymbolicRegression 253 dependencies successfully precompiled in 1824 seconds. 39 already precompiled. 26 dependencies precompiled but different versions are currently loaded (ArgTools, Base64, Dates, Downloads, JuliaSyntaxHighlighting, LibCURL, LibCURL_jll, LibGit2, LibGit2_jll, LibSSH2_jll, Logging, Markdown, MozillaCACerts_jll, NetworkOptions, OpenSSL_jll, PCRE2_jll, Pkg, Printf, StyledStrings, TOML, Tar, UUIDs, Zlib_jll, Zstd_jll, nghttp2_jll and p7zip_jll). Restart julia to access the new versions. Otherwise, 173 dependents of these packages may trigger further precompilation to work with the unexpected versions. 4 dependencies had output during precompilation: ┌ PromptingTools → MarkdownPromptingToolsExt │ ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! │ └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 └ ┌ PromptingTools → RAGToolsExperimentalExt │ ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! │ └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 └ ┌ PromptingTools │ ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! │ └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 │ ┌ Warning: RAGTools will be moved into a dedicated package from PromptingTools v0.75 onward. │ │ Please adjust your code accordingly, see https://github.com/JuliaGenAI/RAGTools.jl │ └ @ PromptingTools.Experimental.RAGTools ~/.julia/packages/PromptingTools/M1mWQ/src/Experimental/RAGTools/RAGTools.jl:59 └ ┌ LibraryAugmentedSymbolicRegression │ WARNING: Constructor for type "LaSROptions" was extended in `LLMOptionsModule` without explicit qualification or import. │ NOTE: Assumed "LaSROptions" refers to `LLMOptionsStructModule.LaSROptions`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function LaSROptions end`. │ Hint: To silence the warning, qualify `LaSROptions` as `LLMOptionsStructModule.LaSROptions` in the method signature or explicitly `import LLMOptionsStructModule: LaSROptions`. │ WARNING: Constructor for type "LaSROptions" was extended in `LLMOptionsModule` without explicit qualification or import. │ NOTE: Assumed "LaSROptions" refers to `LLMOptionsStructModule.LaSROptions`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function LaSROptions end`. │ Hint: To silence the warning, qualify `LaSROptions` as `LLMOptionsStructModule.LaSROptions` in the method signature or explicitly `import LLMOptionsStructModule: LaSROptions`. │ ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! │ └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 └ Precompilation completed after 1443.95s ################################################################################ # Testing # Testing LibraryAugmentedSymbolicRegression Status `/tmp/jl_8EAfeK/Project.toml` [4c88cf16] Aqua v0.8.14 ⌅ [a40a106e] DynamicExpressions v1.9.4 [cd3eb016] HTTP v1.11.0 [0f8b85d8] JSON3 v1.14.3 [158930c3] LibraryAugmentedSymbolicRegression v0.3.0 ⌃ [d3d80556] LineSearches v7.5.1 [add582a8] MLJ v0.22.0 [a7f614a8] MLJBase v1.12.1 ⌅ [e80e1ace] MLJModelInterface v1.11.1 [72560011] MLJTestInterface v0.2.9 ⌅ [429524aa] Optim v1.11.0 ⌅ [670122d1] PromptingTools v0.72.3 [fd094767] Suppressor v0.2.8 ⌃ [8254be44] SymbolicRegression v1.8.0 ⌃ [d1185830] SymbolicUtils v3.32.0 [f8b46487] TestItemRunner v1.1.4 [1c621080] TestItems v1.0.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 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Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [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 v8.18.0+1 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.30+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.5+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+1 [3f19e933] p7zip_jll v17.8.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 [ Info: Training machine(LaSRRegressor(use_llm = false, …), …). ┌ Warning: `npop` is deprecated. Use `population_size` instead. │ caller = LibraryAugmentedSymbolicRegression.CoreModule.LLMOptionsStructModule.LaSROptions(; use_llm::Bool, use_concepts::Bool, use_concept_evolution::Bool, mutation_weights::Union{Nothing, LibraryAugmentedSymbolicRegression.CoreModule.LaSRMutationWeightsModule.LaSRMutationWeights, NamedTuple, AbstractVector}, llm_operation_weights::Union{Nothing, LibraryAugmentedSymbolicRegression.CoreModule.LLMOptionsStructModule.LLMOperationWeights, NamedTuple, AbstractVector}, num_pareto_context::Int64, num_generated_equations::Int64, num_generated_concepts::Int64, num_concept_crossover::Int64, max_concepts::Int64, is_parametric::Bool, llm_context::Nothing, variable_names::Nothing, prompts_dir::Nothing, idea_database::Nothing, api_key::Nothing, model::Nothing, api_kwargs::Nothing, http_kwargs::Nothing, verbose::Bool, kws::Base.Pairs{Symbol, Any, Nothing, @NamedTuple{defaults::Nothing, binary_operators::Nothing, unary_operators::Nothing, maxsize::Nothing, maxdepth::Nothing, expression_spec::Nothing, populations::Nothing, population_size::Nothing, ncycles_per_iteration::Nothing, elementwise_loss::Nothing, loss_function::Nothing, loss_function_expression::Nothing, dimensional_constraint_penalty::Nothing, parsimony::Nothing, constraints::Nothing, nested_constraints::Nothing, complexity_of_operators::Nothing, complexity_of_constants::Nothing, complexity_of_variables::Nothing, warmup_maxsize_by::Nothing, adaptive_parsimony_scaling::Nothing, crossover_probability::Nothing, annealing::Nothing, alpha::Nothing, tournament_selection_n::Nothing, tournament_selection_p::Nothing, early_stop_condition::Main.var"##149".var"#2#3", batching::Nothing, batch_size::Nothing, dimensionless_constants_only::Bool, complexity_mapping::Nothing, use_frequency::Bool, use_frequency_in_tournament::Bool, should_simplify::Nothing, perturbation_factor::Nothing, probability_negate_constant::Nothing, skip_mutation_failures::Bool, optimizer_algorithm::Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.BackTracking{Float64, Int64}, Nothing, Nothing, Optim.Flat}, optimizer_nrestarts::Int64, optimizer_probability::Float64, optimizer_iterations::Nothing, optimizer_f_calls_limit::Nothing, optimizer_options::Nothing, should_optimize_constants::Bool, migration::Bool, hof_migration::Bool, fraction_replaced::Nothing, fraction_replaced_hof::Nothing, topn::Nothing, timeout_in_seconds::Nothing, max_evals::Nothing, input_stream::IOStream, turbo::Bool, bumper::Bool, autodiff_backend::Nothing, deterministic::Bool, seed::Nothing, verbosity::Nothing, print_precision::Int64, progress::Nothing, output_directory::Nothing, save_to_file::Bool, bin_constraints::Nothing, una_constraints::Nothing, terminal_width::Nothing, use_recorder::Bool, recorder_file::String, define_helper_functions::Bool, expression_type::Nothing, expression_options::Nothing, node_type::Nothing, output_file::Nothing, fast_cycle::Bool, npopulations::Int64, npop::Int64}}) at LLMOptions.jl:192 └ @ Core ~/.julia/packages/LibraryAugmentedSymbolicRegression/P7fSL/src/LLMOptions.jl:192 ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/kbyoS/src/Configure.jl:59 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 3.611e-02 3.604e+01 y = a 3 1.548e-04 2.726e+00 y = a * a 5 3.377e-05 7.614e-01 y = (a - 0.017179) * a 7 3.336e-05 6.060e-03 y = (a - (0.017179 / 0.89653)) * a 9 3.336e-05 1.665e-16 y = (((a - 0.019162) - b) + b) * a 11 2.809e-05 8.597e-02 y = (a * a) + ((0.0047427 - (a + 0.18374)) * 0.014295) 13 1.722e-05 2.447e-01 y = (((a - (0.017179 / (a + 0.20508))) - b) + b) * a 15 1.722e-05 6.549e-05 y = (((a - (0.017179 / ((0.20508 * 0.95249) + a))) - b) + ... b) * a 19 4.977e-06 3.103e-01 y = (a * a) + ((((-0.17121 / (a + -1.0981)) - (a + 0.26281... )) * 0.03206) / (b / b)) 21 2.523e-06 3.398e-01 y = (a * a) + (((-0.15072 / ((a + -1.1356) / 1.4115)) - ((... (a + 0.23212) * 1.0379) - 0.070228)) * 0.041345) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_JhdugB/20260320_051259_YYZsHU/hall_of_fame.csv [ Info: Training machine(MultitargetLaSRRegressor(use_llm = false, …), …). ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/kbyoS/src/Configure.jl:59 [ Info: Started! [ Info: Final populations: [ Info: Output 1: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.548e-04 1.201e+01 y₁ = a * a 5 6.309e-05 4.489e-01 y₁ = a * (a / 1.0211) 9 6.195e-05 4.550e-03 y₁ = (1.1202 / (1.1386 / a)) * (a + -0.0013952) 11 3.242e-05 3.238e-01 y₁ = (1.1259 / (1.133 / a)) * (a - (0.008734 / a)) 17 1.408e-05 1.390e-01 y₁ = a * (a + ((((a - 0.15175) - (b - -0.83021)) / (-0.36... 286 - b)) * -0.02379)) 19 4.900e-06 5.278e-01 y₁ = (((a + -0.14759) - ((((0.059437 - (a * 0.029101)) / ... 1.6014) / -0.36764) / 1.0592)) * a) / 0.90637 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 8.649e-02 3.604e+01 y₂ = 0.34616 3 1.548e-04 3.163e+00 y₂ = a * a 7 1.548e-04 2.498e-16 y₂ = ((a * b) * a) / b 9 1.030e-04 2.038e-01 y₂ = ((a * 1.1052) * (a / 1.0355)) / 1.1052 11 6.309e-05 2.451e-01 y₂ = (a * (((a / 0.99348) / 1.0327) * 1.1078)) / 1.1026 13 6.171e-06 1.162e+00 y₂ = (((((a + -0.047535) * 1.4616) * a) / -1.3804) * -0.5... 0772) / 0.51648 19 4.146e-06 6.630e-02 y₂ = (a - ((((a * 0.65045) / 1.3943) + -0.4735) * ((a - (... a / 1.8314)) * -0.49941))) * a 23 3.282e-06 5.841e-02 y₂ = (((b / b) + 0.28233) * ((a + (a + ((a - 1.0578) * ((... a + a) + -0.0045597)))) / 1.4471)) * 0.5953 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.548e-04 1.201e+01 y₃ = a * a 5 3.319e-05 7.701e-01 y₃ = (a + -0.018458) * a 13 2.447e-05 3.810e-02 y₃ = ((a / 0.25699) + 0.43919) * (a * ((a * 0.073739) - -... 0.15995)) 29 3.597e-06 1.198e-01 y₃ = (((0.11583 - ((a * 3.2819) + -0.51161)) + 0.51728) *... ((((((a / 1.3128) * 0.094374) + 0.15815) * (a + 0.82102)... ) + (a * 0.11512)) / -1.2769)) + 0.11207 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_lIfwt4/20260320_051358_BkW0ke/hall_of_fame_output1.csv - /tmp/jl_lIfwt4/20260320_051358_BkW0ke/hall_of_fame_output2.csv - /tmp/jl_lIfwt4/20260320_051358_BkW0ke/hall_of_fame_output3.csv [ Info: Training machine(MultitargetLaSRRegressor(use_llm = false, …), …). ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/kbyoS/src/Configure.jl:59 [ Info: Started! Expressions evaluated per second: 0.000e+00 Progress: 0 / 620 total iterations (0.000%) ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 1 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 2 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Press 'q' and then to stop execution early. [ Info: Final populations: [ Info: Output 1: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 0.000e+00 1.201e+01 y₁ = b1 * b2 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 7 6.188e-02 5.149e+00 y₂ = b1 + ((b2 - -0.93289) + -0.68414) 9 5.424e-25 1.802e+01 y₂ = (b1 / 2.156) - ((b1 * -0.53617) - b2) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_fcvWtb/20260320_051424_kRVBAL/hall_of_fame_output1.csv - /tmp/jl_fcvWtb/20260320_051424_kRVBAL/hall_of_fame_output2.csv [ Info: Training machine(MultitargetLaSRRegressor(use_llm = false, …), …). ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/kbyoS/src/Configure.jl:59 [ Info: Started! [ Info: Final populations: [ Info: Output 1: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 5 1.059e+00 7.209e+00 y₁ = (0.38992 + -0.486) * x₃ 7 1.036e+00 1.097e-02 y₁ = (0.19199 + (0.38992 + -0.486)) * x₃ 9 1.031e+00 2.605e-03 y₁ = ((0.19199 + 0.38992) + -0.486) * (x₃ * x₂) 11 1.163e-02 2.242e+00 y₁ = (((0.19199 / 0.38992) + -0.486) * x₂) + (x₁ / 1.1177... ) 13 1.142e-02 8.979e-03 y₁ = ((((0.19199 / 0.38992) + -0.486) * x₃) * x₂) + (x₁ /... 1.1177) 15 5.647e-03 3.522e-01 y₁ = ((((x₃ - 0.81586) * 0.006389) * x₂) / 1.8888) + ((x₁... / 1.1177) / 0.83374) 17 5.567e-03 7.105e-03 y₁ = (((((0.19199 / 0.38992) + -0.486) * x₃) / -0.55744) ... * x₂) + ((x₁ / 1.1177) / 0.83374) 19 4.249e-21 1.802e+01 y₁ = ((((x₂ / 0.17365) * 1.3073) * (x₂ / 0.60532)) * 1.43... 98e-12) + (((x₁ / 0.86271) / 0.8908) / 1.3012) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 1.024e+00 3.604e+01 y₂ = -0.033979 3 0.000e+00 1.802e+01 y₂ = x₂ + -0 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 7.726e-05 1.201e+01 y₃ = x₃ + -0.0087899 7 0.000e+00 9.011e+00 y₃ = x₃ + ((x₃ - x₃) / x₁) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_ETr2oV/test_run/hall_of_fame_output1.csv - /tmp/jl_ETr2oV/test_run/hall_of_fame_output2.csv - /tmp/jl_ETr2oV/test_run/hall_of_fame_output3.csv cols = SubString{String}["5", "1.0593423915561997", "\"(0.38991722770854825 + -0.48599929433642797) * x3\""] cols = SubString{String}["7", "1.0363621070003688", "\"(0.19199067949299115 + (0.38991722770854825 + -0.48599929433642797)) * x3\""] cols = SubString{String}["9", "1.0309764789989968", "\"((0.19199067949299115 + 0.38991722770854825) + -0.48599929433642797) * (x3 * x2)\""] cols = SubString{String}["11", "0.011628233843037954", "\"(((0.19199067949299115 / 0.38991722770854825) + -0.48599929433642797) * x2) + (x1 / 1.1176892457584626)\""] cols = SubString{String}["13", "0.011421279143095266", "\"((((0.19199067949299115 / 0.38991722770854825) + -0.48599929433642797) * x3) * x2) + (x1 / 1.1176892457584626)\""] cols = SubString{String}["15", "0.005646912601359796", "\"((((x3 - 0.8158561439276798) * 0.006389002075287864) * x2) / 1.8888320099460976) + ((x1 / 1.1176892457584626) / 0.8337406742331444)\""] cols = SubString{String}["17", "0.00556723359912904", "\"(((((0.19199067949299115 / 0.38991722770854825) + -0.48599929433642797) * x3) / -0.55744427139985) * x2) + ((x1 / 1.1176892457584626) / 0.8337406742331444)\""] cols = SubString{String}["19", "4.248614632383803e-21", "\"((((x2 / 0.17364681862093048) * 1.3073061229637282) * (x2 / 0.6053171425409413)) * 1.4397613182231813e-12) + (((x1 / 0.8627109537330603) / 0.8907997114140764) / 1.3012316559051362)\""] cols = SubString{String}["1", "1.024092503386764", "\"-0.03397877233005824\""] cols = SubString{String}["3", "0.0", "\"x2 + -0.0\""] cols = SubString{String}["3", "7.726294801168526e-5", "\"x3 + -0.00878993447141019\""] cols = SubString{String}["7", "0.0", "\"x3 + ((x3 - x3) / x1)\""] [ Info: Training machine(LaSRRegressor(use_llm = false, …), …). ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/kbyoS/src/Configure.jl:59 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_6AX8b6/20260320_051514_OTjn5t/hall_of_fame.csv ┌ Warning: Equations not found. Returning 0s for prediction. └ @ SymbolicRegression.MLJInterfaceModule ~/.julia/packages/SymbolicRegression/kbyoS/src/MLJInterface.jl:550 ┌ Warning: Evaluation failed either due to NaNs detected or due to unfinished search. Using 0s for prediction. └ @ SymbolicRegression.MLJInterfaceModule ~/.julia/packages/SymbolicRegression/kbyoS/src/MLJInterface.jl:416 [ Info: Training machine(MultitargetLaSRRegressor(use_llm = false, …), …). ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/kbyoS/src/Configure.jl:59 [ 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_hadID4/20260320_051518_X6Uyxm/hall_of_fame_output1.csv - /tmp/jl_hadID4/20260320_051518_X6Uyxm/hall_of_fame_output2.csv - /tmp/jl_hadID4/20260320_051518_X6Uyxm/hall_of_fame_output3.csv ┌ Warning: Equations not found. Returning 0s for prediction. └ @ SymbolicRegression.MLJInterfaceModule ~/.julia/packages/SymbolicRegression/kbyoS/src/MLJInterface.jl:550 ┌ Warning: Evaluation failed either due to NaNs detected or due to unfinished search. Using 0s for prediction. └ @ SymbolicRegression.MLJInterfaceModule ~/.julia/packages/SymbolicRegression/kbyoS/src/MLJInterface.jl:416 Error reaching LLaMA server at port 11440 err = HTTP.Exceptions.ConnectError("http://127.0.0.1:11440/health", CapturedException(Base.IOError("connect: connection refused (ECONNREFUSED)", -111), Any[(getconnection(::Type{Sockets.TCPSocket}, host::SubString{String}, port::SubString{String}; keepalive::Bool, readtimeout::Int64, kw::Base.Pairs{Symbol, Union{Nothing, Integer}, Nothing, @NamedTuple{require_ssl_verification::Bool, iofunction::Nothing, decompress::Nothing, verbose::Int64}}) at Connections.jl:527, 1), (getconnection at Connections.jl:504 [inlined], 1), (#13 at Connections.jl:463 [inlined], 1), (macro expansion at try_with_timeout.jl:92 [inlined], 1), ((::ConcurrentUtilities.var"#try_with_timeout##2#try_with_timeout##3"{Any, Channel{Any}, HTTP.Connections.var"#13#14"{Sockets.TCPSocket, Bool, Bool, Base.Pairs{Symbol, Union{Nothing, Int64}, Nothing, @NamedTuple{readtimeout::Int64, iofunction::Nothing, decompress::Nothing, verbose::Int64}}, SubString{String}, SubString{String}}, Timer})() at ConcurrentUtilities.jl:10, 1)])) [ Info: Training machine(LaSRRegressor(use_llm = true, …), …). ┌ Warning: api_kwargs.max_tokens is not set in LaSROptions. Defaulting to 1000. └ @ LibraryAugmentedSymbolicRegression.CoreModule.LLMOptionsModule ~/.julia/packages/LibraryAugmentedSymbolicRegression/P7fSL/src/LLMOptions.jl:110 ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/kbyoS/src/Configure.jl:59 [ Info: Started! ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 967 running 1 of 1 signal (10): User defined signal 1 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/3sROs/src/Evaluate.jl:348 [inlined] dispatch_deg2_eval at /home/pkgeval/.julia/packages/DynamicExpressions/3sROs/src/Evaluate.jl:321 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/3sROs/src/Evaluate.jl:282 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/3sROs/src/Evaluate.jl:350 [inlined] dispatch_deg2_eval at /home/pkgeval/.julia/packages/DynamicExpressions/3sROs/src/Evaluate.jl:321 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/3sROs/src/Evaluate.jl:282 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/3sROs/src/Evaluate.jl:350 [inlined] dispatch_deg2_eval at /home/pkgeval/.julia/packages/DynamicExpressions/3sROs/src/Evaluate.jl:321 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/3sROs/src/Evaluate.jl:282 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/3sROs/src/Evaluate.jl:362 [inlined] dispatch_deg2_eval at /home/pkgeval/.julia/packages/DynamicExpressions/3sROs/src/Evaluate.jl:321 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/3sROs/src/Evaluate.jl:282 #eval_tree_array#2 at /home/pkgeval/.julia/packages/DynamicExpressions/3sROs/src/Evaluate.jl:227 eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/3sROs/src/Evaluate.jl:200 [inlined] #eval_tree_array#14 at /home/pkgeval/.julia/packages/DynamicExpressions/3sROs/src/Expression.jl:436 eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/3sROs/src/Expression.jl:429 unknown function (ip: 0x7e3ffc61994b) at (unknown file) _jl_invoke at /source/src/gf.c:4113 [inlined] ijl_apply_generic at /source/src/gf.c:4339 #eval_tree_array#1 at /home/pkgeval/.julia/packages/SymbolicRegression/kbyoS/src/InterfaceDynamicExpressions.jl:68 eval_tree_array at /home/pkgeval/.julia/packages/SymbolicRegression/kbyoS/src/InterfaceDynamicExpressions.jl:56 [inlined] eval_tree_dispatch at /home/pkgeval/.julia/packages/SymbolicRegression/kbyoS/src/LossFunctions.jl:67 [inlined] _eval_loss at /home/pkgeval/.julia/packages/SymbolicRegression/kbyoS/src/LossFunctions.jl:95 #eval_loss#1 at /home/pkgeval/.julia/packages/SymbolicRegression/kbyoS/src/LossFunctions.jl:154 eval_loss at /home/pkgeval/.julia/packages/SymbolicRegression/kbyoS/src/LossFunctions.jl:138 [inlined] #eval_cost#2 at /home/pkgeval/.julia/packages/SymbolicRegression/kbyoS/src/LossFunctions.jl:198 [inlined] eval_cost at /home/pkgeval/.julia/packages/SymbolicRegression/kbyoS/src/LossFunctions.jl:192 [inlined] #crossover_generation#21 at /home/pkgeval/.julia/packages/SymbolicRegression/kbyoS/src/Mutate.jl:674 crossover_generation at /home/pkgeval/.julia/packages/SymbolicRegression/kbyoS/src/Mutate.jl:633 [inlined] reg_evol_cycle at /home/pkgeval/.julia/packages/SymbolicRegression/kbyoS/src/RegularizedEvolution.jl:84 #s_r_cycle#1 at /home/pkgeval/.julia/packages/SymbolicRegression/kbyoS/src/SingleIteration.jl:43 s_r_cycle at /home/pkgeval/.julia/packages/SymbolicRegression/kbyoS/src/SingleIteration.jl:19 [inlined] #_dispatch_s_r_cycle#40 at /home/pkgeval/.julia/packages/SymbolicRegression/kbyoS/src/SymbolicRegression.jl:1110 _dispatch_s_r_cycle at /home/pkgeval/.julia/packages/SymbolicRegression/kbyoS/src/SymbolicRegression.jl:1093 [inlined] macro expansion at /home/pkgeval/.julia/packages/LibraryAugmentedSymbolicRegression/P7fSL/src/LibraryAugmentedSymbolicRegression.jl:289 [inlined] #_main_search_loop!##6 at /home/pkgeval/.julia/packages/SymbolicRegression/kbyoS/src/SearchUtils.jl:266 unknown function (ip: 0x7e3ffad17011) at (unknown file) _jl_invoke at /source/src/gf.c:4113 [inlined] ijl_apply_generic at /source/src/gf.c:4339 jl_apply at /source/src/julia.h:2300 [inlined] start_task at /source/src/task.c:1275 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== 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:1246 wait_forever at ./task.jl:1168 jfptr_wait_forever_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113 [inlined] ijl_apply_generic at /source/src/gf.c:4339 jl_apply at /source/src/julia.h:2300 [inlined] start_task at /source/src/task.c:1275 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ┌ 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/v1.14/Profile/src/Profile.jl:1361 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007e9c452da680 Total snapshots: 398. Utilization: 0% ╎398 @Base/task.jl:1168 wait_forever() 397╎ 398 @Base/task.jl:1246 wait() [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 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:1246 wait_forever at ./task.jl:1168 jfptr_wait_forever_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113 [inlined] ijl_apply_generic at /source/src/gf.c:4339 jl_apply at /source/src/julia.h:2300 [inlined] start_task at /source/src/task.c:1275 unknown function (ip: (nil)) at (unknown file) Allocations: 22412366 (Pool: 22411512; Big: 854); GC: 24 [967] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/LibraryAugmentedSymbolicRegression/P7fSL/test/test_tutorial.jl:31 jl_get_pgcstack_static at /source/cli/loader_exe.c:15 ijl_is_const at /source/src/module.c:1886 isconst at ./runtime_internals.jl:461 [inlined] make_typealias at ./show.jl:642 show_typealias at ./show.jl:822 _show_type at ./show.jl:987 show at ./show.jl:982 [inlined] #sprint#421 at ./strings/io.jl:107 sprint at ./strings/io.jl:102 [inlined] #print_type_bicolor#495 at ./show.jl:2682 [inlined] print_type_bicolor at ./show.jl:2681 jfptr_print_type_bicolor_0.1 at /opt/julia/share/julia/compiled/v1.14/REPL/u0gqU_L5sIJ.so (unknown line) _jl_invoke at /source/src/gf.c:4113 [inlined] ijl_apply_generic at /source/src/gf.c:4339 #show_tuple_as_call#489 at ./show.jl:2549 show_tuple_as_call at ./show.jl:2516 [inlined] show_spec_sig at ./stacktraces.jl:330 show_spec_linfo at ./stacktraces.jl:289 #sprint#421 at ./strings/io.jl:109 [inlined] sprint at ./strings/io.jl:102 [inlined] tree_format at /source/usr/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1042 print_tree at /source/usr/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1254 tree at /source/usr/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1308 print_group at /source/usr/share/julia/stdlib/v1.14/Profile/src/Profile.jl:389 #print#5 at /source/usr/share/julia/stdlib/v1.14/Profile/src/Profile.jl:331 print at /source/usr/share/julia/stdlib/v1.14/Profile/src/Profile.jl:271 [inlined] print at /source/usr/share/julia/stdlib/v1.14/Profile/src/Profile.jl:271 [inlined] print at /source/usr/share/julia/stdlib/v1.14/Profile/src/Profile.jl:271 _peek_report at /source/usr/share/julia/stdlib/v1.14/Profile/src/Profile.jl:94 unknown function (ip: 0x7e3ffad2d16f) at (unknown file) _jl_invoke at /source/src/gf.c:4113 [inlined] ijl_apply_generic at /source/src/gf.c:4339 jl_apply at /source/src/julia.h:2300 [inlined] jl_f_invokelatest at /source/src/builtins.c:910 profile_printing_listener at ./Base.jl:356 #start_profile_listener##0 at ./Base.jl:374 jfptr_YY.start_profile_listenerYY.YY.0_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4113 [inlined] ijl_apply_generic at /source/src/gf.c:4339 jl_apply at /source/src/julia.h:2300 [inlined] start_task at /source/src/task.c:1275 unknown function (ip: (nil)) at (unknown file) Allocations: 402197155 (Pool: 402194756; Big: 2399); GC: 245 PkgEval terminated after 2765.48s: test duration exceeded the time limit