Package evaluation to test LibraryAugmentedSymbolicRegression on Julia 1.14.0-DEV.1877 (00654c1407*) started at 2026-03-10T21:44:58.400 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.85s ################################################################################ # Installation # Installing LibraryAugmentedSymbolicRegression... Resolving package versions... Installed DiffResults ──────────────────────── v1.1.0 Installed MacroTools ───────────────────────── v0.5.16 Installed URIs ─────────────────────────────── v1.6.1 Installed AbstractTrees ────────────────────── v0.4.5 Installed Tricks ───────────────────────────── v0.1.13 Installed DataStructures ───────────────────── v0.19.3 Installed FillArrays ───────────────────────── v1.16.0 Installed ForwardDiff ──────────────────────── v0.10.39 Installed ConstructionBase ─────────────────── v1.6.0 Installed ConcurrentUtilities ──────────────── v2.5.1 Installed StatsBase ────────────────────────── v0.34.10 Installed Adapt ────────────────────────────── v4.5.0 Installed StreamCallbacks ──────────────────── v0.5.2 Installed CodecZlib ────────────────────────── v0.7.8 Installed AliasTables ──────────────────────── v1.1.3 Installed TranscodingStreams ───────────────── v0.11.3 Installed SymbolicRegression ───────────────── v1.8.0 Installed Optim ────────────────────────────── v1.11.0 Installed Compat ───────────────────────────── v4.18.1 Installed OrderedCollections ───────────────── v1.8.1 Installed DataAPI ──────────────────────────── v1.16.0 Installed Statistics ───────────────────────── v1.11.1 Installed StatsAPI ─────────────────────────── v1.8.0 Installed MbedTLS ──────────────────────────── v1.1.10 Installed CommonSubexpressions ─────────────── v0.3.1 Installed PositiveFactorizations ───────────── v0.2.4 Installed ExceptionUnwrapping ──────────────── v0.1.11 Installed ProgressMeter ────────────────────── v1.11.0 Installed ArrayInterface ───────────────────── v7.23.0 Installed PrecompileTools ──────────────────── v1.3.3 Installed OpenSSL ──────────────────────────── v1.6.1 Installed StaticArraysCore ─────────────────── v1.4.4 Installed IrrationalConstants ──────────────── v0.2.6 Installed NaNMath ──────────────────────────── v1.1.3 Installed LoggingExtras ────────────────────── v1.2.0 Installed ChainRulesCore ───────────────────── v1.26.0 Installed DispatchDoctor ───────────────────── v0.4.28 Installed DynamicDiff ──────────────────────── v0.2.1 Installed OpenSpecFun_jll ──────────────────── v0.5.6+0 Installed DynamicQuantities ────────────────── v1.12.0 Installed Requires ─────────────────────────── v1.3.1 Installed JSON3 ────────────────────────────── v1.14.3 Installed LogExpFunctions ──────────────────── v0.3.29 Installed HTTP ─────────────────────────────── v1.10.19 Installed BitFlags ─────────────────────────── v0.1.9 Installed OpenAI ───────────────────────────── v0.9.1 Installed DiffRules ────────────────────────── v1.15.1 Installed PackageExtensionCompat ───────────── v1.0.2 Installed Parsers ──────────────────────────── v2.8.3 Installed FiniteDiff ───────────────────────── v2.29.0 Installed JSON ─────────────────────────────── v0.21.4 Installed Interfaces ───────────────────────── v0.3.2 Installed NLSolversBase ────────────────────── v7.10.0 Installed Reexport ─────────────────────────── v1.2.2 Installed SpecialFunctions ─────────────────── v2.7.1 Installed Parameters ───────────────────────── v0.12.3 Installed LossFunctions ────────────────────── v1.2.0 Installed Setfield ─────────────────────────── v1.1.2 Installed PromptingTools ───────────────────── v0.72.3 Installed PtrArrays ────────────────────────── v1.4.0 Installed Missings ─────────────────────────── v1.2.0 Installed SimpleBufferStream ───────────────── v1.2.0 Installed JLLWrappers ──────────────────────── v1.7.1 Installed TestItems ────────────────────────── v1.0.0 Installed MbedTLS_jll ──────────────────────── v2.28.1010+0 Installed StructTypes ──────────────────────── v1.11.0 Installed UnPack ───────────────────────────── v1.0.2 Installed LineSearches ─────────────────────── v7.5.1 Installed SortingAlgorithms ────────────────── v1.2.2 Installed ScientificTypesBase ──────────────── v3.1.0 Installed ADTypes ──────────────────────────── v1.21.0 Installed DocStringExtensions ──────────────── v0.9.5 Installed DynamicExpressions ───────────────── v1.9.4 Installed StatisticalTraits ────────────────── v3.5.0 Installed Preferences ──────────────────────── v1.5.2 Installed LibraryAugmentedSymbolicRegression ─ v0.3.0 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 v1.10.19 [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 v17.7.0+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 10.88s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 5273.2 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. Precompiling package dependencies... Precompiling packages... 4956.7 ms ✓ MacroTools 868.1 ms ✓ Reexport 1302.8 ms ✓ ConstructionBase 2392.7 ms ✓ IrrationalConstants 878.9 ms ✓ DataValueInterfaces 987.7 ms ✓ PrettyPrint 1014.5 ms ✓ StatsAPI 2381.6 ms ✓ Combinatorics 1006.9 ms ✓ ArgCheck 951.8 ms ✓ TermInterface 1411.4 ms ✓ TranscodingStreams 944.2 ms ✓ LaTeXStrings 2641.9 ms ✓ Baselet 841.8 ms ✓ TestItems 1082.5 ms ✓ Interfaces 1229.7 ms ✓ Statistics 1054.1 ms ✓ Tricks 1099.7 ms ✓ StaticArraysCore 1057.6 ms ✓ StableRNGs 883.3 ms ✓ Suppressor 913.6 ms ✓ PtrArrays 903.1 ms ✓ SimpleBufferStream 863.2 ms ✓ TaskLocalValues 1047.8 ms ✓ PositiveFactorizations 947.4 ms ✓ DataAPI 3764.2 ms ✓ ExproniconLite 1360.7 ms ✓ URIs 3826.2 ms ✓ UnsafeAtomics 2533.5 ms ✓ ShowCases 28048.2 ms ✓ MLStyle 938.2 ms ✓ InvertedIndices 1094.0 ms ✓ InverseFunctions 937.6 ms ✓ CompositionsBase 987.1 ms ✓ BitFlags 1267.0 ms ✓ AbstractTrees 1820.3 ms ✓ InitialValues 3019.1 ms ✓ PrettyPrinting 1077.7 ms ✓ ComputationalResources 1083.4 ms ✓ Bijections 2463.9 ms ✓ FillArrays 970.7 ms ✓ ExprTools 886.9 ms ✓ UnPack 1477.2 ms ✓ OrderedCollections 1013.2 ms ✓ HashArrayMappedTries 1528.2 ms ✓ ADTypes 1224.8 ms ✓ DocStringExtensions 936.6 ms ✓ DefineSingletons 887.2 ms ✓ IteratorInterfaceExtensions 878.5 ms ✓ PackageExtensionCompat 2137.8 ms ✓ Crayons 1106.4 ms ✓ DelimitedFiles 1132.9 ms ✓ NaNMath 1321.8 ms ✓ Requires 1645.6 ms ✓ ConcurrentUtilities 2227.0 ms ✓ PDMats 1408.6 ms ✓ Scratch 2642.1 ms ✓ SentinelArrays 2127.2 ms ✓ StructTypes 1554.6 ms ✓ LoggingExtras 1988.1 ms ✓ ProgressMeter 1467.5 ms ✓ ScientificTypesBase 1299.4 ms ✓ Compat 1548.1 ms ✓ Preferences 1694.7 ms ✓ ExceptionUnwrapping 12519.5 ms ✓ MutableArithmetics 2107.9 ms ✓ CommonSubexpressions 3653.1 ms ✓ SimpleTraits 907.0 ms ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 948.5 ms ✓ NameResolution 1110.1 ms ✓ CodecZlib 25847.6 ms ✓ TestItemRunner 1565.5 ms ✓ Statistics → SparseArraysExt 4415.6 ms ✓ FixedPointNumbers 1564.7 ms ✓ Distances 2207.0 ms ✓ LossFunctions 1702.6 ms ✓ EarlyStopping 1033.1 ms ✓ DiffResults 1080.8 ms ✓ AliasTables 1077.7 ms ✓ Missings 1079.8 ms ✓ Atomix 1313.8 ms ✓ InverseFunctions → InverseFunctionsDatesExt 1832.2 ms ✓ InverseFunctions → InverseFunctionsTestExt 900.1 ms ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 4439.3 ms ✓ OpenSSL 1842.5 ms ✓ FillArrays → FillArraysSparseArraysExt 1147.1 ms ✓ FillArrays → FillArraysStatisticsExt 3382.4 ms ✓ TimerOutputs 1027.2 ms ✓ RuntimeGeneratedFunctions 1181.6 ms ✓ Parameters 3739.5 ms ✓ DataStructures 989.5 ms ✓ ScopedValues 876.1 ms ✓ ADTypes → ADTypesConstructionBaseExt 2070.1 ms ✓ DifferentiationInterface 1466.7 ms ✓ LogExpFunctions 841.9 ms ✓ TableTraits 1030.8 ms ✓ Adapt 1657.2 ms ✓ FillArrays → FillArraysPDMatsExt 1493.6 ms ✓ RelocatableFolders 1413.1 ms ✓ StatisticalTraits 904.1 ms ✓ Compat → CompatLinearAlgebraExt 1242.3 ms ✓ PrecompileTools 1520.4 ms ✓ JLLWrappers 2400.6 ms ✓ LearnAPI 4550.0 ms ✓ DispatchDoctor 1295.0 ms ✓ Unityper 2979.5 ms ✓ Setfield 11801.1 ms ✓ JuliaVariables 2903.2 ms ✓ ColorTypes 1465.4 ms ✓ Distances → DistancesSparseArraysExt 3712.1 ms ✓ IterationControl 5620.4 ms ✓ Accessors 1203.7 ms ✓ SortingAlgorithms 2426.8 ms ✓ QuadGK 4921.5 ms ✓ MultivariatePolynomials 1476.3 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt 880.4 ms ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 1947.6 ms ✓ Tables 1165.3 ms ✓ ArrayInterface 1389.0 ms ✓ Adapt → AdaptSparseArraysExt 1259.1 ms ✓ GPUArraysCore 3626.7 ms ✓ MLJModelInterface 2879.1 ms ✓ ChainRulesCore 2693.5 ms ✓ FilePathsBase 7208.2 ms ✓ Aqua 1120.5 ms ✓ ContextVariablesX 3415.4 ms ✓ CategoricalArrays 4302.6 ms ✓ StringManipulation 15404.8 ms ✓ StaticArrays 3669.5 ms ✓ RecipesBase 18092.5 ms ✓ Parsers 2409.6 ms ✓ Rmath_jll 2372.1 ms ✓ OpenSpecFun_jll 2383.9 ms ✓ MbedTLS_jll 10792.3 ms ✓ DynamicQuantities 3733.9 ms ✓ SplittablesBase 1344.7 ms ✓ ColorTypes → StyledStringsExt 2270.6 ms ✓ Accessors → TestExt 3015.6 ms ✓ Accessors → LinearAlgebraExt 5013.7 ms ✓ StatsBase 4823.2 ms ✓ DynamicPolynomials 1637.3 ms ✓ TableOperations 3447.9 ms ✓ MLCore 825.4 ms ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt 1477.3 ms ✓ ArrayInterface → ArrayInterfaceSparseArraysExt 871.2 ms ✓ DifferentiationInterface → DifferentiationInterfaceGPUArraysCoreExt 884.7 ms ✓ ArrayInterface → ArrayInterfaceGPUArraysCoreExt 3653.5 ms ✓ FeatureSelection 1586.3 ms ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 940.5 ms ✓ ADTypes → ADTypesChainRulesCoreExt 992.7 ms ✓ Distances → DistancesChainRulesCoreExt 1002.2 ms ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt 3811.5 ms ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 2055.9 ms ✓ DispatchDoctor → DispatchDoctorChainRulesCoreExt 5999.9 ms ✓ MultivariatePolynomials → MultivariatePolynomialsChainRulesCoreExt 885.9 ms ✓ ArrayInterface → ArrayInterfaceChainRulesCoreExt 3340.6 ms ✓ FilePathsBase → FilePathsBaseTestExt 1404.6 ms ✓ FilePathsBase → FilePathsBaseMmapExt 1104.1 ms ✓ FLoopsBase 1428.1 ms ✓ CategoricalArrays → CategoricalArraysSentinelArraysExt 1459.0 ms ✓ CategoricalArrays → CategoricalArraysStructTypesExt 1596.2 ms ✓ LossFunctions → LossFunctionsCategoricalArraysExt 43659.2 ms ✓ PrettyTables 3076.8 ms ✓ BitBasis 1959.7 ms ✓ StaticArrays → StaticArraysStatisticsExt 2011.1 ms ✓ StaticArrays → StaticArraysChainRulesCoreExt 1855.0 ms ✓ ConstructionBase → ConstructionBaseStaticArraysExt 1967.0 ms ✓ FillArrays → FillArraysStaticArraysExt 1790.6 ms ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt 1755.1 ms ✓ Adapt → AdaptStaticArraysExt 1880.0 ms ✓ Accessors → StaticArraysExt 1817.0 ms ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 14466.3 ms ✓ JSON3 4075.3 ms ✓ JSON 2782.0 ms ✓ ARFFFiles 1849.2 ms ✓ Rmath 5365.5 ms ✓ SpecialFunctions 2447.6 ms ✓ MbedTLS 2412.6 ms ✓ DynamicQuantities → DynamicQuantitiesLinearAlgebraExt 2129.9 ms ✓ BangBang 2328.9 ms ✓ LatinHypercubeSampling 1684.7 ms ✓ PDMats → StatsBaseExt 1745.0 ms ✓ CategoricalArrays → CategoricalArraysStatsBaseExt 1419.7 ms ✓ FiniteDiff 4023.3 ms ✓ SymbolicIndexingInterface 20918.7 ms ✓ DynamicExpressions 9103.2 ms ✓ KernelAbstractions 1476.3 ms ✓ CategoricalArrays → CategoricalArraysJSONExt 4562.6 ms ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 2561.7 ms ✓ HypergeometricFunctions 1341.8 ms ✓ DiffRules 24999.6 ms ✓ HTTP 1584.9 ms ✓ BangBang → BangBangChainRulesCoreExt 1460.8 ms ✓ BangBang → BangBangTablesExt 2014.1 ms ✓ BangBang → BangBangStaticArraysExt 3043.6 ms ✓ MicroCollections 1733.7 ms ✓ FiniteDiff → FiniteDiffStaticArraysExt 1431.4 ms ✓ FiniteDiff → FiniteDiffSparseArraysExt 1018.4 ms ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt 3720.4 ms ✓ SymbolicIndexingInterface → SymbolicIndexingInterfacePrettyTablesExt 3213.6 ms ✓ KernelAbstractions → SparseArraysExt 2453.3 ms ✓ KernelAbstractions → LinearAlgebraExt 41898.9 ms ✓ SymbolicUtils 3206.5 ms ✓ StatsFuns 7465.4 ms ✓ ForwardDiff 11490.8 ms ✓ StreamCallbacks 3849.7 ms ✓ OpenAI 6609.4 ms ✓ MLFlowClient 4437.8 ms ✓ OpenML 8664.8 ms ✓ Transducers 14987.9 ms ✓ NNlib 7621.7 ms ✓ DynamicExpressions → DynamicExpressionsSymbolicUtilsExt 4199.6 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 1423.2 ms ✓ StatsFuns → StatsFunsInverseFunctionsExt 9984.3 ms ✓ Distributions 2647.3 ms ✓ ForwardDiff → ForwardDiffStaticArraysExt 1909.1 ms ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 3658.0 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 40057.8 ms ✓ PromptingTools 2414.1 ms ✓ Transducers → TransducersAdaptExt 16537.0 ms ✓ FLoops 2932.4 ms ✓ NNlib → NNlibSpecialFunctionsExt 3255.4 ms ✓ NNlib → NNlibForwardDiffExt 4120.4 ms ✓ Distributions → DistributionsTestExt 3735.6 ms ✓ Distributions → DistributionsChainRulesCoreExt 7274.7 ms ✓ ScientificTypes 2769.0 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 17132.9 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 16095.0 ms ✓ PromptingTools → MarkdownPromptingToolsExt 21475.9 ms ✓ MLUtils 6011.2 ms ✓ DynamicQuantities → DynamicQuantitiesScientificTypesExt 7908.7 ms ✓ CategoricalDistributions 11263.0 ms ✓ MLJTransforms 2819.9 ms ✓ LineSearches 18643.7 ms ✓ StatisticalMeasuresBase 19096.5 ms ✓ MLJModels 7228.4 ms ✓ Optim 45914.8 ms ✓ StatisticalMeasures 14046.3 ms ✓ MLJEnsembles 19495.8 ms ✓ MLJBase 4431.9 ms ✓ DynamicExpressions → DynamicExpressionsOptimExt 11413.1 ms ✓ StatisticalMeasures → ScientificTypesExt 11176.7 ms ✓ StatisticalMeasures → LossFunctionsExt 11890.0 ms ✓ MLJBase → DefaultMeasuresExt 14469.0 ms ✓ MLJBalancing 18816.2 ms ✓ MLJTestInterface 15185.2 ms ✓ MLJIteration 12428.6 ms ✓ MLJFlow 13505.2 ms ✓ MLJTuning 127424.6 ms ✓ SymbolicRegression 22743.8 ms ✓ MLJ 26379.5 ms ✓ SymbolicRegression → SymbolicRegressionSymbolicUtilsExt 20411.6 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 117930.3 ms ✓ LibraryAugmentedSymbolicRegression 253 dependencies successfully precompiled in 1464 seconds. 39 already precompiled. 4 dependencies had output during precompilation: ┌ 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 └ ┌ 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 └ Precompilation completed after 1496.06s ################################################################################ # Testing # Testing LibraryAugmentedSymbolicRegression Status `/tmp/jl_dMZMdV/Project.toml` [4c88cf16] Aqua v0.8.14 ⌅ [a40a106e] DynamicExpressions v1.9.4 [cd3eb016] HTTP v1.10.19 [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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StreamCallbacks v0.5.2 [892a3eda] StringManipulation v0.4.4 [856f2bd8] StructTypes v1.11.0 [fd094767] Suppressor v0.2.8 [2efcf032] SymbolicIndexingInterface v0.3.46 ⌃ [8254be44] SymbolicRegression v1.8.0 ⌃ [d1185830] SymbolicUtils v3.32.0 [ab02a1b2] TableOperations v1.2.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [ed4db957] TaskLocalValues v0.1.3 [8ea1fca8] TermInterface v2.0.0 [f8b46487] TestItemRunner v1.1.4 [1c621080] TestItems v1.0.0 [a759f4b9] TimerOutputs v0.5.29 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.85 [410a4b4d] Tricks v0.1.13 [5c2747f8] URIs v1.6.1 [3a884ed6] UnPack v1.0.2 [a7c27f48] Unityper v0.1.6 [013be700] UnsafeAtomics v0.3.0 [c8ffd9c3] MbedTLS_jll v2.28.1010+0 [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 [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 [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 v17.7.0+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 3.319e-05 7.701e-01 y = a * (a - 0.018458) 11 8.147e-06 2.341e-01 y = a * (a - (((a + -0.82934) - 0.4111) * -0.035697)) 17 4.718e-06 9.103e-02 y = a * (a - (-0.016735 * ((-0.98036 + (a * ((a * 1.3335) ... / 0.78783))) - 1.0958))) 19 4.364e-06 3.901e-02 y = a * (a - (-0.016735 * ((-0.98036 + (a * (((a * a) * 1.... 3335) / 0.78783))) - 1.0958))) 21 9.670e-07 7.535e-01 y = a * (a - (-0.016735 * ((-0.98036 + (a * ((a * (a * (1.... 3335 - -0.25075))) / 0.78783))) - 1.0958))) 23 5.685e-07 2.656e-01 y = a * (a - ((((a * (a * ((a * ((a * 1.5879) + 0.16587)) ... / 0.78413))) - 1.0944) + -0.97895) * -0.016401)) 25 5.077e-07 5.654e-02 y = a * (a - (((((a * a) * (a * (((1.1879 - (-0.27093 / a)... ) * a) + 1.1852))) - 1.1404) + -1.4038) * -0.013949)) 27 4.728e-07 3.566e-02 y = a * (a - ((((a * (a * ((a * (((1.5984 - (a + -0.49147)... ) * a) + 0.27475)) / 0.50351))) - 1.4793) + -1.1646) * -0.... 013674)) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_k3ptoE/20260310_221642_rCrxQp/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 1 3.611e-02 3.604e+01 y₁ = a 3 1.548e-04 2.726e+00 y₁ = a * a 7 5.292e-05 2.684e-01 y₁ = (a + -0.10426) * (a + 0.10952) 9 2.604e-05 3.546e-01 y₁ = (a + -0.079022) * ((a - 0.0088771) + 0.077307) 11 1.982e-06 1.288e+00 y₁ = (((-0.094186 / (a + 0.11929)) - -1.0814) * a) * a 19 1.660e-06 2.210e-02 y₁ = (((a - (a * 0.18732)) * -0.35511) + a) * ((((a - 0.3... 0878) * 0.17986) + 1.2831) * a) 27 3.114e-07 2.092e-01 y₁ = ((b / 0.72912) * (a / b)) / ((((1.6436 - ((b / 1.785... 7) * (a / b))) / a) - ((a * -0.14417) + -0.1131)) - -0.02... 9453) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 4.186e-01 3.604e+01 y₂ = -0.23009 3 6.087e-03 2.115e+00 y₂ = a + -0.17326 7 1.548e-04 9.179e-01 y₂ = a / (a / (a * a)) 9 6.309e-05 4.489e-01 y₂ = (a / b) * ((b * a) / 1.0211) 15 2.445e-06 5.417e-01 y₂ = ((b * 0.72281) * ((((a + -0.070899) * a) / 0.67742) ... / b)) + 0.0044717 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 8.649e-02 3.604e+01 y₃ = 0.34616 3 1.548e-04 3.163e+00 y₃ = a * a 5 3.583e-05 7.318e-01 y₃ = (a * a) + -0.010909 7 3.583e-05 4.718e-15 y₃ = ((a * a) + -2.1706) - -2.1596 9 2.604e-05 1.596e-01 y₃ = ((a * (a + -0.010592)) + -1.6905) - -1.6851 15 1.989e-05 4.489e-02 y₃ = a * (a + (((-0.11466 * (a * -0.15333)) + (-0.04282 *... 0.85429)) * 0.85429)) 17 1.346e-06 1.346e+00 y₃ = a * (a + (((((a * (a + -0.16634)) / 0.83007) * 0.047... 351) + -0.049196) * 0.83482)) 27 8.549e-07 4.542e-02 y₃ = a * ((((((((a - 0.096495) + -0.01119) + a) * (a / 1.... 0175)) * 0.028816) + (a - 0.17881)) * ((a / 1.0185) / a))... + 0.13959) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_00xpEp/20260310_221728_UY9Ua6/hall_of_fame_output1.csv - /tmp/jl_00xpEp/20260310_221728_UY9Ua6/hall_of_fame_output2.csv - /tmp/jl_00xpEp/20260310_221728_UY9Ua6/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! [ Info: Final populations: [ Info: Output 1: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 0.000e+00 1.201e+01 y₁ = b2 * b1 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 7 1.289e+00 5.149e+00 y₂ = b1 * ((-0.21659 + -0.62793) + 1.0614) 9 0.000e+00 1.802e+01 y₂ = (b1 - (0 - b2)) / (b2 / b2) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_Ly7xJU/20260310_221747_Ff8P0m/hall_of_fame_output1.csv - /tmp/jl_Ly7xJU/20260310_221747_Ff8P0m/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 1.037e+00 7.209e+00 y₁ = x₁ * (x₃ - x₃) 11 7.403e-01 5.624e-02 y₁ = ((-0.8604 + x₁) * (x₂ / x₂)) + (x₃ - x₃) 13 3.372e-01 3.932e-01 y₁ = ((-0.8604 + (((x₁ - -1.555) - 0.083867) + x₃)) - x₃)... - 0.030007 15 2.887e-02 1.229e+00 y₁ = (-0.8604 + (x₁ - (-1.555 / (x₂ / (x₂ / 1.5092))))) +... (x₃ - x₃) 17 1.957e-02 1.943e-01 y₁ = ((-0.8604 + ((x₁ - (-1.555 / (x₂ / (x₂ / 1.5092)))) ... + x₃)) - x₃) - 0.030007 19 3.140e-03 9.150e-01 y₁ = ((-0.8604 + (((x₁ - (-1.555 / (x₂ / (x₂ / 1.5092))))... - 0.083867) + x₃)) - x₃) - 0.030007 21 7.240e-26 1.802e+01 y₁ = (((((x₁ + 0.15652) - (-2.941 / (x₂ / (x₂ / 6.1361)))... ) - -0.074198) + x₃) - (x₃ - 0.20447)) + -0.91449 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.017e+00 1.201e+01 y₂ = x₂ + x₂ 5 0.000e+00 1.802e+01 y₂ = x₂ + (x₃ - x₃) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 1.959e+00 3.604e+01 y₃ = 1 3 5.830e-26 1.802e+01 y₃ = x₃ * 1 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_HrCTaZ/test_run/hall_of_fame_output1.csv - /tmp/jl_HrCTaZ/test_run/hall_of_fame_output2.csv - /tmp/jl_HrCTaZ/test_run/hall_of_fame_output3.csv cols = SubString{String}["5", "1.0374072566391859", "\"x1 * (x3 - x3)\""] cols = SubString{String}["11", "0.7402806540557179", "\"((-0.8603956380966364 + x1) * (x2 / x2)) + (x3 - x3)\""] cols = SubString{String}["13", "0.3372126288613466", "\"((-0.8603956380966364 + (((x1 - -1.5549695938774957) - 0.08386685372026585) + x3)) - x3) - 0.030006982496849674\""] cols = SubString{String}["15", "0.02886838767139239", "\"(-0.8603956380966364 + (x1 - (-1.5549695938774957 / (x2 / (x2 / 1.5092357727939298))))) + (x3 - x3)\""] cols = SubString{String}["17", "0.019572014092427727", "\"((-0.8603956380966364 + ((x1 - (-1.5549695938774957 / (x2 / (x2 / 1.5092357727939298)))) + x3)) - x3) - 0.030006982496849674\""] cols = SubString{String}["19", "0.003139715121117013", "\"((-0.8603956380966364 + (((x1 - (-1.5549695938774957 / (x2 / (x2 / 1.5092357727939298)))) - 0.08386685372026585) + x3)) - x3) - 0.030006982496849674\""] cols = SubString{String}["21", "7.240371767015724e-26", "\"(((((x1 + 0.15651896036960078) - (-2.941038076063562 / (x2 / (x2 / 6.136087928587141)))) - -0.07419836139995362) + x3) - (x3 - 0.20446948661677966)) + -0.9144886225536379\""] cols = SubString{String}["3", "1.0171579376728634", "\"x2 + x2\""] cols = SubString{String}["5", "0.0", "\"x2 + (x3 - x3)\""] cols = SubString{String}["1", "1.9593788684169775", "\"1.0\""] cols = SubString{String}["3", "5.830393740594992e-26", "\"x3 * 1.000000000000227\""] [ 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_fbZUoX/20260310_221827_kC3IqD/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_hsUzzG/20260310_221828_O4iQfR/hall_of_fame_output1.csv - /tmp/jl_hsUzzG/20260310_221828_O4iQfR/hall_of_fame_output2.csv - /tmp/jl_hsUzzG/20260310_221828_O4iQfR/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:531, 1), (getconnection at Connections.jl:508 [inlined], 1), (#13 at Connections.jl:467 [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! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 3.326e+00 1.594e+01 y = 0.0059664 2 2.654e+00 2.257e-01 y = cos(x₁) 3 1.861e+00 3.549e-01 y = x₂ * x₂ 4 1.688e+00 9.771e-02 y = 0.1035 ^ cos(x₂) 5 1.027e+00 4.966e-01 y = (x₂ * x₂) - 0.91318 7 1.005e+00 1.116e-02 y = (x₂ - 1.0345) * (x₂ + 0.87734) 8 7.779e-01 2.558e-01 y = (x₂ * x₂) - cos(0.37527 / x₁) 9 1.759e-01 1.486e+00 y = (x₁ - x₂) * (-0.80418 * (x₂ + x₁)) 10 0.000e+00 1.594e+01 y = ((x₂ * x₂) - (cos(x₁) * -2)) + -2 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_8rRdHs/20260310_221926_LBAU6W/hall_of_fame.csv Testing LaSR expression parser Passed. Testing LaSR expression parser with render_expr Passed. Testing LaSR llm output parser Passed. Testing LaSR prompt construction Passed. ┌ 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: 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 Test Summary: | Pass Total Time Package | 10131 10131 15m29.4s test/test_backwards_compat.jl | 57 57 6m57.2s Generic interface tests | 2 2 4m37.9s Variable names - single outputs | 4 4 1m09.8s Variable names - multiple outputs | 7 7 18.1s Variable names - named outputs | 3 3 27.2s Good predictions | 30 30 9.0s Helpful errors | 5 5 6.8s Unfinished search | 6 6 8.3s test/runtests.jl | 10074 10074 8m32.2s Test handshake | 0 21.3s Test tutorial | 1 1 2m07.1s Test expression parser | 6048 6048 16.4s Test expression parser round trips | 4000 4000 2.8s Test llm output parser | 6 6 2.9s Test llm prompt construction | 8 8 2.6s Test whether the precompilation script works. | 0 1m21.1s Aqua tests | 11 11 4m18.1s Unbound type parameters | 1 1 0.2s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.5s Stale dependencies | 1 1 50.0s Compat bounds | 4 4 0.8s Piracy | 1 1 1.3s Persistent tasks | 1 1 2m12.9s Testing LibraryAugmentedSymbolicRegression tests passed Testing completed after 992.11s PkgEval succeeded after 2544.04s