Package evaluation to test LibraryAugmentedSymbolicRegression on Julia 1.14.0-DEV.2114 (cccbcd9611*) started at 2026-05-05T15:29:59.936 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.44s ################################################################################ # Installation # Installing LibraryAugmentedSymbolicRegression... Resolving package versions... Installed DiffResults ──────────────────────── v1.1.0 Installed URIs ─────────────────────────────── v1.6.1 Installed AbstractTrees ────────────────────── v0.4.5 Installed FillArrays ───────────────────────── v1.16.0 Installed Tricks ───────────────────────────── v0.1.13 Installed MacroTools ───────────────────────── v0.5.16 Installed DataStructures ───────────────────── v0.19.4 Installed ForwardDiff ──────────────────────── v0.10.39 Installed ConstructionBase ─────────────────── v1.6.0 Installed ConcurrentUtilities ──────────────── v2.5.1 Installed Adapt ────────────────────────────── v4.5.2 Installed AliasTables ──────────────────────── v1.1.3 Installed StatsBase ────────────────────────── v0.34.10 Installed StreamCallbacks ──────────────────── v0.5.2 Installed CodecZlib ────────────────────────── v0.7.8 Installed SymbolicRegression ───────────────── v1.8.0 Installed Optim ────────────────────────────── v1.11.0 Installed TranscodingStreams ───────────────── v0.11.3 Installed ExceptionUnwrapping ──────────────── v0.1.11 Installed DataAPI ──────────────────────────── v1.16.0 Installed OrderedCollections ───────────────── v1.8.1 Installed Statistics ───────────────────────── v1.11.1 Installed Compat ───────────────────────────── v4.18.1 Installed PositiveFactorizations ───────────── v0.2.4 Installed ArrayInterface ───────────────────── v7.24.0 Installed StatsAPI ─────────────────────────── v1.8.0 Installed MbedTLS ──────────────────────────── v1.1.10 Installed CommonSubexpressions ─────────────── v0.3.1 Installed OpenSSL ──────────────────────────── v1.6.1 Installed PrecompileTools ──────────────────── v1.3.3 Installed ProgressMeter ────────────────────── v1.11.0 Installed DispatchDoctor ───────────────────── v0.4.28 Installed LoggingExtras ────────────────────── v1.2.0 Installed StaticArraysCore ─────────────────── v1.4.4 Installed DynamicDiff ──────────────────────── v0.2.1 Installed IrrationalConstants ──────────────── v0.2.6 Installed NaNMath ──────────────────────────── v1.1.3 Installed ChainRulesCore ───────────────────── v1.26.1 Installed OpenSpecFun_jll ──────────────────── v0.5.6+0 Installed JSON3 ────────────────────────────── v1.14.3 Installed BitFlags ─────────────────────────── v0.1.9 Installed LogExpFunctions ──────────────────── v0.3.29 Installed DynamicQuantities ────────────────── v1.12.3 Installed Requires ─────────────────────────── v1.3.1 Installed OpenAI ───────────────────────────── v0.9.1 Installed DiffRules ────────────────────────── v1.15.1 Installed HTTP ─────────────────────────────── v1.11.0 Installed JSON ─────────────────────────────── v0.21.4 Installed Parameters ───────────────────────── v0.12.3 Installed PackageExtensionCompat ───────────── v1.0.2 Installed Interfaces ───────────────────────── v0.3.2 Installed Parsers ──────────────────────────── v2.8.4 Installed NLSolversBase ────────────────────── v7.10.0 Installed LossFunctions ────────────────────── v1.2.0 Installed FiniteDiff ───────────────────────── v2.31.0 Installed PtrArrays ────────────────────────── v1.4.0 Installed Setfield ─────────────────────────── v1.1.2 Installed Reexport ─────────────────────────── v1.2.2 Installed SpecialFunctions ─────────────────── v2.7.2 Installed Missings ─────────────────────────── v1.2.0 Installed DynamicExpressions ───────────────── v1.9.4 Installed SimpleBufferStream ───────────────── v1.2.0 Installed TestItems ────────────────────────── v1.0.0 Installed Preferences ──────────────────────── v1.5.2 Installed PromptingTools ───────────────────── v0.72.3 Installed ScientificTypesBase ──────────────── v3.1.0 Installed MbedTLS_jll ──────────────────────── v2.28.1010+0 Installed JLLWrappers ──────────────────────── v1.7.1 Installed LibraryAugmentedSymbolicRegression ─ v0.3.0 Installed StructTypes ──────────────────────── v1.11.0 Installed LineSearches ─────────────────────── v7.5.1 Installed StatisticalTraits ────────────────── v3.5.0 Installed UnPack ───────────────────────────── v1.0.2 Installed SortingAlgorithms ────────────────── v1.2.2 Installed DocStringExtensions ──────────────── v0.9.5 Installed ADTypes ──────────────────────────── v1.22.0 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 v1.22.0 [1520ce14] + AbstractTrees v0.4.5 [79e6a3ab] + Adapt v4.5.2 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.24.0 [d1d4a3ce] + BitFlags v0.1.9 [d360d2e6] + ChainRulesCore v1.26.1 [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 v0.19.4 [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 v1.12.3 [460bff9d] + ExceptionUnwrapping v0.1.11 [1a297f60] + FillArrays v1.16.0 [6a86dc24] + FiniteDiff v2.31.0 ⌅ [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 v2.8.4 [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 v2.7.2 [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 v1.5.1+0 [deac9b47] + LibCURL_jll v8.19.0+0 [e37daf67] + LibGit2_jll v1.9.2+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2026.3.19 [4536629a] + OpenBLAS_jll v0.3.33+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.6+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 v1.69.0+0 [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 9.82s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling project... 5.0 s ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. Precompiling package dependencies... Precompiling project... 4.2 s ✓ MacroTools 0.8 s ✓ Reexport 1.2 s ✓ ConstructionBase 2.0 s ✓ IrrationalConstants 1.0 s ✓ PrettyPrint 0.8 s ✓ DataValueInterfaces 0.9 s ✓ StatsAPI 1.4 s ✓ Calculus 2.0 s ✓ Combinatorics 0.9 s ✓ ArgCheck 0.9 s ✓ TermInterface 1.4 s ✓ TranscodingStreams 0.8 s ✓ LaTeXStrings 1.9 s ✓ Baselet 0.8 s ✓ TestItems 1.0 s ✓ Interfaces 1.2 s ✓ Statistics 0.9 s ✓ Tricks 1.1 s ✓ StaticArraysCore 1.0 s ✓ StableRNGs 0.8 s ✓ PtrArrays 0.9 s ✓ SimpleBufferStream 0.8 s ✓ TaskLocalValues 1.1 s ✓ PositiveFactorizations 0.9 s ✓ DataAPI 3.4 s ✓ ExproniconLite 1.3 s ✓ URIs 3.4 s ✓ UnsafeAtomics 2.4 s ✓ ShowCases 25.7 s ✓ MLStyle 0.8 s ✓ InvertedIndices 0.8 s ✓ InverseFunctions 0.7 s ✓ BitFlags 0.7 s ✓ CompositionsBase 0.9 s ✓ AbstractTrees 1.3 s ✓ InitialValues 2.2 s ✓ PrettyPrinting 1.1 s ✓ ComputationalResources 1.0 s ✓ Bijections 2.2 s ✓ FillArrays 0.9 s ✓ ExprTools 0.9 s ✓ UnPack 1.4 s ✓ OrderedCollections 0.9 s ✓ HashArrayMappedTries 1.4 s ✓ ADTypes 1.2 s ✓ DocStringExtensions 0.9 s ✓ DefineSingletons 0.8 s ✓ IteratorInterfaceExtensions 0.8 s ✓ PackageExtensionCompat 2.0 s ✓ Crayons 0.8 s ✓ Suppressor 1.0 s ✓ DelimitedFiles 1.1 s ✓ NaNMath 1.2 s ✓ Requires 1.5 s ✓ ConcurrentUtilities 2.4 s ✓ ProgressMeter 1.2 s ✓ Scratch 2.4 s ✓ SentinelArrays 2.0 s ✓ StructTypes 1.4 s ✓ LoggingExtras 1.7 s ✓ PDMats 1.0 s ✓ Compat 1.1 s ✓ Preferences 1.0 s ✓ ScientificTypesBase 1.3 s ✓ ExceptionUnwrapping 8.9 s ✓ MutableArithmetics 1.4 s ✓ CommonSubexpressions 2.5 s ✓ SimpleTraits 0.6 s ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 0.7 s ✓ NameResolution 1.1 s ✓ Measurements 0.8 s ✓ CodecZlib 19.5 s ✓ TestItemRunner 1.3 s ✓ Statistics → SparseArraysExt 3.4 s ✓ FixedPointNumbers 1.2 s ✓ Distances 1.2 s ✓ EarlyStopping 1.4 s ✓ LossFunctions 0.8 s ✓ DiffResults 0.8 s ✓ AliasTables 0.8 s ✓ Missings 0.9 s ✓ Atomix 1.0 s ✓ InverseFunctions → InverseFunctionsDatesExt 1.4 s ✓ InverseFunctions → InverseFunctionsTestExt 3.4 s ✓ OpenSSL 0.6 s ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 1.4 s ✓ FillArrays → FillArraysSparseArraysExt 1.0 s ✓ FillArrays → FillArraysStatisticsExt 2.4 s ✓ TimerOutputs 0.7 s ✓ RuntimeGeneratedFunctions 0.8 s ✓ Parameters 2.7 s ✓ DataStructures 0.9 s ✓ ScopedValues 0.9 s ✓ ADTypes → ADTypesConstructionBaseExt 1.7 s ✓ DifferentiationInterface 1.3 s ✓ LogExpFunctions 0.9 s ✓ TableTraits 1.0 s ✓ Adapt 1.4 s ✓ RelocatableFolders 1.6 s ✓ FillArrays → FillArraysPDMatsExt 0.9 s ✓ Compat → CompatLinearAlgebraExt 1.2 s ✓ PrecompileTools 1.6 s ✓ JLLWrappers 2.4 s ✓ LearnAPI 4.3 s ✓ DispatchDoctor 1.4 s ✓ StatisticalTraits 5.5 s ✓ StarAlgebras 1.3 s ✓ Unityper 3.0 s ✓ Setfield 9.2 s ✓ JuliaVariables 2.0 s ✓ ColorTypes 1.1 s ✓ Distances → DistancesSparseArraysExt 2.7 s ✓ IterationControl 4.0 s ✓ Accessors 0.9 s ✓ SortingAlgorithms 1.7 s ✓ QuadGK 1.1 s ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt 0.7 s ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 1.5 s ✓ Tables 0.9 s ✓ ArrayInterface 1.1 s ✓ Adapt → AdaptSparseArraysExt 0.9 s ✓ GPUArraysCore 1.9 s ✓ ChainRulesCore 5.0 s ✓ Aqua 0.8 s ✓ ContextVariablesX 2.5 s ✓ CategoricalArrays 3.7 s ✓ StringManipulation 13.9 s ✓ StaticArrays 3.6 s ✓ RecipesBase 16.3 s ✓ Parsers 2.4 s ✓ Rmath_jll 2.3 s ✓ OpenSpecFun_jll 2.3 s ✓ MbedTLS_jll 9.7 s ✓ DynamicQuantities 3.7 s ✓ MLJModelInterface 4.1 s ✓ MultivariatePolynomials 3.3 s ✓ SplittablesBase 1.2 s ✓ ColorTypes → StyledStringsExt 2.0 s ✓ Accessors → TestExt 2.8 s ✓ Accessors → LinearAlgebraExt 4.6 s ✓ StatsBase 1.5 s ✓ TableOperations 3.1 s ✓ MLCore 0.8 s ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt 1.5 s ✓ ArrayInterface → ArrayInterfaceSparseArraysExt 0.8 s ✓ DifferentiationInterface → DifferentiationInterfaceGPUArraysCoreExt 0.8 s ✓ ArrayInterface → ArrayInterfaceGPUArraysCoreExt 1.5 s ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 0.8 s ✓ ADTypes → ADTypesChainRulesCoreExt 0.8 s ✓ Distances → DistancesChainRulesCoreExt 0.9 s ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt 3.5 s ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 1.9 s ✓ DispatchDoctor → DispatchDoctorChainRulesCoreExt 0.9 s ✓ ArrayInterface → ArrayInterfaceChainRulesCoreExt 1.1 s ✓ FLoopsBase 1.6 s ✓ CategoricalArrays → CategoricalArraysSentinelArraysExt 1.5 s ✓ CategoricalArrays → CategoricalArraysStructTypesExt 1.6 s ✓ LossFunctions → LossFunctionsCategoricalArraysExt 37.8 s ✓ PrettyTables 2.7 s ✓ BitBasis 1.8 s ✓ StaticArrays → StaticArraysStatisticsExt 1.9 s ✓ StaticArrays → StaticArraysChainRulesCoreExt 1.8 s ✓ ConstructionBase → ConstructionBaseStaticArraysExt 1.7 s ✓ FillArrays → FillArraysStaticArraysExt 1.7 s ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt 1.6 s ✓ Adapt → AdaptStaticArraysExt 1.7 s ✓ Accessors → StaticArraysExt 1.6 s ✓ Measurements → MeasurementsRecipesBaseExt 1.7 s ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 12.3 s ✓ JSON3 3.6 s ✓ JSON 2.6 s ✓ ARFFFiles 1.8 s ✓ Rmath 5.5 s ✓ SpecialFunctions 2.5 s ✓ MbedTLS 2.3 s ✓ DynamicQuantities → DynamicQuantitiesLinearAlgebraExt 1.7 s ✓ DynamicQuantities → DynamicQuantitiesMeasurementsExt 3.3 s ✓ FeatureSelection 4.5 s ✓ DynamicPolynomials 5.6 s ✓ MultivariatePolynomials → MultivariatePolynomialsChainRulesCoreExt 1.9 s ✓ BangBang 2.0 s ✓ LatinHypercubeSampling 1.5 s ✓ PDMats → StatsBaseExt 1.6 s ✓ CategoricalArrays → CategoricalArraysStatsBaseExt 1.3 s ✓ FiniteDiff 3.6 s ✓ SymbolicIndexingInterface 20.0 s ✓ DynamicExpressions 8.6 s ✓ KernelAbstractions 1.5 s ✓ CategoricalArrays → CategoricalArraysJSONExt 4.3 s ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 2.4 s ✓ HypergeometricFunctions 1.3 s ✓ Measurements → MeasurementsSpecialFunctionsExt 1.2 s ✓ DiffRules 22.7 s ✓ HTTP 1.2 s ✓ BangBang → BangBangChainRulesCoreExt 1.0 s ✓ BangBang → BangBangTablesExt 1.4 s ✓ BangBang → BangBangStaticArraysExt 2.1 s ✓ MicroCollections 1.3 s ✓ FiniteDiff → FiniteDiffStaticArraysExt 1.1 s ✓ FiniteDiff → FiniteDiffSparseArraysExt 0.8 s ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt 2.8 s ✓ SymbolicIndexingInterface → SymbolicIndexingInterfacePrettyTablesExt 2.3 s ✓ KernelAbstractions → SparseArraysExt 1.6 s ✓ KernelAbstractions → LinearAlgebraExt 30.1 s ✓ SymbolicUtils 2.3 s ✓ StatsFuns 5.5 s ✓ ForwardDiff 8.4 s ✓ StreamCallbacks 2.9 s ✓ OpenAI 3.2 s ✓ OpenML 5.9 s ✓ Transducers 9.4 s ✓ NNlib 5.0 s ✓ DynamicExpressions → DynamicExpressionsSymbolicUtilsExt 2.7 s ✓ StatsFuns → StatsFunsChainRulesCoreExt 1.0 s ✓ StatsFuns → StatsFunsInverseFunctionsExt 6.9 s ✓ Distributions 1.7 s ✓ ForwardDiff → ForwardDiffStaticArraysExt 1.3 s ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 2.1 s ✓ 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 32.4 s ✓ PromptingTools 2.3 s ✓ Transducers → TransducersAdaptExt 11.9 s ✓ FLoops 2.2 s ✓ NNlib → NNlibSpecialFunctionsExt 2.2 s ✓ NNlib → NNlibForwardDiffExt 3.0 s ✓ Distributions → DistributionsTestExt 2.4 s ✓ Distributions → DistributionsChainRulesCoreExt 5.7 s ✓ ScientificTypes 3.0 s ✓ 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 17.1 s ✓ 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 15.4 s ✓ PromptingTools → MarkdownPromptingToolsExt 22.6 s ✓ MLUtils 5.9 s ✓ DynamicQuantities → DynamicQuantitiesScientificTypesExt 8.1 s ✓ CategoricalDistributions 11.9 s ✓ MLJTransforms 3.1 s ✓ LineSearches 18.8 s ✓ StatisticalMeasuresBase 18.5 s ✓ MLJModels 8.6 s ✓ Optim 45.9 s ✓ StatisticalMeasures 14.5 s ✓ MLJEnsembles 19.5 s ✓ MLJBase 4.6 s ✓ DynamicExpressions → DynamicExpressionsOptimExt 11.3 s ✓ StatisticalMeasures → ScientificTypesExt 11.5 s ✓ StatisticalMeasures → LossFunctionsExt 12.1 s ✓ MLJBase → DefaultMeasuresExt 15.3 s ✓ MLJBalancing 20.5 s ✓ MLJTestInterface 16.5 s ✓ MLJIteration 15.7 s ✓ MLJTuning 139.2 s ✓ SymbolicRegression 22.6 s ✓ MLJ 27.8 s ✓ SymbolicRegression → SymbolicRegressionSymbolicUtilsExt 21.0 s ✓ 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:189 112.0 s ✓ LibraryAugmentedSymbolicRegression 254 dependencies successfully precompiled in 1329 seconds. 39 already precompiled. 4 dependencies had output during precompilation: ┌ 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 → 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 → 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 │ ┌ 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 └ Precompilation completed after 1356.07s ################################################################################ # Testing # Testing LibraryAugmentedSymbolicRegression Status `/tmp/jl_zaQsDm/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 v0.23.0 [a7f614a8] MLJBase v1.13.0 ⌅ [e80e1ace] MLJModelInterface v1.11.1 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v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.5.1+0 [deac9b47] LibCURL_jll v8.19.0+0 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2026.3.19 [4536629a] OpenBLAS_jll v0.3.33+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.6+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 v1.69.0+0 [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"##150".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 └ @ LibraryAugmentedSymbolicRegression.CoreModule.LLMOptionsModule ~/.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 3 1.548e-04 1.201e+01 y = a * a 7 6.647e-05 2.114e-01 y = (a * a) + (0.44742 * -0.01201) 9 2.451e-05 4.988e-01 y = (((a * a) - a) / 0.9174) + a 11 2.038e-05 9.223e-02 y = ((((a * a) - a) / 0.9174) / 1.0392) + a 13 8.977e-06 4.101e-01 y = ((((a * a) - a) / 0.9174) / (1.0392 - 0.018411)) + a 15 8.019e-06 5.643e-02 y = ((((a * a) - a) / 0.9174) / (1.0392 - (0.018411 * a)))... + a 17 2.835e-06 5.199e-01 y = ((((a * a) - a) / 0.9174) / (1.0392 - (0.018411 * (a +... a)))) + a 21 1.014e-06 2.571e-01 y = ((((a * a) - a) / 0.92068) / (1.0418 - ((a * 0.035145)... * ((a + a) + 0.091332)))) + a 25 1.955e-07 4.116e-01 y = ((((a * a) - a) / 0.91824) / (1.0399 - (((((a + a) - 0... .57576) / a) * 0.020209) * (a + a)))) + a 27 8.116e-08 4.394e-01 y = ((((a * a) - a) / 0.95788) * (1.004 - ((((a + (a - 0.5... 9016)) / a) * ((a + a) + 0.090133)) * -0.018727))) + a ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_bcartR/20260505_155915_35bmvy/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 5 7.385e-01 7.209e+00 y₁ = -0.95407 * (a * 0.72149) 7 5.412e-02 1.307e+00 y₁ = (a - (b - b)) - -0.045912 11 6.309e-05 1.689e+00 y₁ = ((((a * 0.16383) - a) / 0.81976) * -0.96013) * a 15 1.349e-06 9.612e-01 y₁ = (((((a * a) * -0.15456) - a) / 0.96835) * (a * 0.825... 61)) * -1.0192 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 4.436e-01 3.604e+01 y₂ = -0.25141 5 5.952e-03 1.078e+00 y₂ = (a + -0.15909) * 0.96068 7 3.561e-03 2.568e-01 y₂ = (a / 2.2593) / (0.39987 / a) 9 3.250e-04 1.197e+00 y₂ = (a / 2.2593) / ((0.39987 / a) - -0.051358) 11 4.908e-06 2.096e+00 y₂ = ((((a - 0.054236) / -1.751) * -1.3991) * a) / 0.7602... 5 17 2.392e-06 1.198e-01 y₂ = (a / 2.2614) / ((0.41425 / a) - ((-0.028098 / ((a / ... 0.94043) * a)) * 1.1271)) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 8.077e-02 1.201e+01 y₃ = a * 1.1783 5 8.573e-03 1.121e+00 y₃ = (a * a) * 1.1783 7 8.270e-03 1.800e-02 y₃ = ((a - 0.25797) * a) * 1.1783 9 1.331e-03 9.132e-01 y₃ = ((a - (0.25797 + -0.079466)) * a) * 1.1783 11 4.397e-04 5.540e-01 y₃ = ((a - ((0.25797 * a) + -0.079466)) * a) * 1.1783 13 3.242e-05 1.304e+00 y₃ = (a - ((0.0084222 / a) + (a * 0.035687))) * (a * 1.03... 05) 15 1.350e-06 1.589e+00 y₃ = (a - ((a * 0.63605) + ((a * -0.056395) * a))) * (a *... 2.3869) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_BBA8AY/20260505_155957_WKOWOJ/hall_of_fame_output1.csv - /tmp/jl_BBA8AY/20260505_155957_WKOWOJ/hall_of_fame_output2.csv - /tmp/jl_BBA8AY/20260505_155957_WKOWOJ/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 4.842e+00 1.201e+01 y₁ = b1 * b1 5 9.198e-01 8.305e-01 y₁ = b1 + (b1 * b2) 7 7.578e-01 9.688e-02 y₁ = (0.90766 * b1) + (b1 * b2) 9 0.000e+00 1.802e+01 y₁ = ((1.1808 - 1.1808) * b1) + (b1 * b2) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 2.093e+00 3.604e+01 y₂ = 0.83837 3 1.430e+00 1.905e-01 y₂ = b1 + -0.11759 5 3.541e-22 1.802e+01 y₂ = (b1 + b2) + 1.8818e-11 7 7.086e-32 1.117e+01 y₂ = ((b1 + b2) - 0.13471) + 0.13471 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_NApluC/20260505_160016_1XMiqm/hall_of_fame_output1.csv - /tmp/jl_NApluC/20260505_160016_1XMiqm/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 3 8.948e-01 1.201e+01 y₁ = x₁ + 0.94596 5 1.482e-01 8.990e-01 y₁ = (x₁ - 1.331) + 0.94596 9 6.434e-33 9.011e+00 y₁ = (x₁ - (0.94596 + -0.014852)) + (0.94596 + -0.014852) 13 6.249e-33 7.290e-03 y₁ = (x₁ - (x₃ * (0.91363 / x₃))) + (x₃ * (0.91363 / x₃)) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 3.009e-38 1.201e+01 y₂ = x₂ + 1.1892e-18 5 0.000e+00 1.802e+01 y₂ = x₂ - (x₂ * 4.0278e-17) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.017e+00 1.201e+01 y₃ = x₃ - x₂ 5 3.520e-33 1.802e+01 y₃ = (x₂ + x₃) - x₂ ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_9izjFw/test_run/hall_of_fame_output1.csv - /tmp/jl_9izjFw/test_run/hall_of_fame_output2.csv - /tmp/jl_9izjFw/test_run/hall_of_fame_output3.csv cols = SubString{String}["3", "0.8948446859546269", "\"x1 + 0.9459623068360744\""] cols = SubString{String}["5", "0.14822731437243555", "\"(x1 - 1.3309653125028293) + 0.9459623068360744\""] cols = SubString{String}["9", "6.433568979225562e-33", "\"(x1 - (0.9459623068360744 + -0.014852263524354032)) + (0.9459623068360744 + -0.014852263524354032)\""] cols = SubString{String}["13", "6.248679704564387e-33", "\"(x1 - (x3 * (0.9136285745487762 / x3))) + (x3 * (0.9136285745487762 / x3))\""] cols = SubString{String}["3", "3.009265538105056e-38", "\"x2 + 1.1891726595009065e-18\""] cols = SubString{String}["5", "0.0", "\"x2 - (x2 * 4.02780869247019e-17)\""] cols = SubString{String}["3", "1.0171579376728632", "\"x3 - x2\""] cols = SubString{String}["5", "3.5202388264752944e-33", "\"(x2 + x3) - x2\""] [ 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_JYfUj7/20260505_160053_X9dJR7/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_vZBQkH/20260505_160055_ADaZKF/hall_of_fame_output1.csv - /tmp/jl_vZBQkH/20260505_160055_ADaZKF/hall_of_fame_output2.csv - /tmp/jl_vZBQkH/20260505_160055_ADaZKF/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), (merge(a::@NamedTuple{require_ssl_verification::Bool, keepalive::Bool}, b::Base.Pairs{Symbol, Union{Nothing, Int64}, Nothing, @NamedTuple{readtimeout::Int64, iofunction::Nothing, decompress::Nothing, verbose::Int64}}) at Connections.jl:463 [inlined], 1), ((::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}})(::ConcurrentUtilities.TimedOut{Any}) 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 3.127e+00 1.594e+01 y = 0.14763 2 2.766e+00 1.224e-01 y = cos(x₁) 3 1.358e+00 7.114e-01 y = x₂ * x₂ 4 1.058e+00 2.497e-01 y = 0.073055 ^ cos(x₂) 5 8.231e-01 2.512e-01 y = (x₂ * x₂) + -0.73146 6 7.417e-01 1.040e-01 y = x₂ * (x₂ * cos(x₁)) 7 6.437e-01 1.417e-01 y = (x₂ * x₂) - cos(cos(x₁)) 8 5.818e-01 1.011e-01 y = (x₂ * (x₂ * cos(x₁))) - 0.39988 9 5.156e-01 1.209e-01 y = (x₂ * x₂) - cos(cos(x₁) + 0.38428) 10 0.000e+00 1.594e+01 y = -2 - ((cos(x₁) * -2) - (x₂ * x₂)) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_BFJBJJ/20260505_160146_doKJNP/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 | 10134 10134 14m34.7s test/test_backwards_compat.jl | 54 54 6m38.1s Generic interface tests | 2 2 4m28.0s Variable names - single outputs | 4 4 1m03.9s Variable names - multiple outputs | 7 7 17.4s Variable names - named outputs | 3 3 25.7s Good predictions | 27 27 9.0s Helpful errors | 5 5 6.3s Unfinished search | 6 6 7.7s test/runtests.jl | 10080 10080 7m56.6s Test handshake | 0 21.8s Test tutorial | 1 1 1m54.5s Test expression parser | 6054 6054 15.8s Test expression parser round trips | 4000 4000 2.9s Test llm output parser | 6 6 4.6s Test llm prompt construction | 8 8 2.4s Test whether the precompilation script works. | 0 1m16.3s Aqua tests | 11 11 3m58.3s Unbound type parameters | 1 1 0.2s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.4s Stale dependencies | 1 1 46.2s Compat bounds | 4 4 0.8s Piracy | 1 1 0.6s Persistent tasks | 1 1 2m04.0s Testing LibraryAugmentedSymbolicRegression tests passed Testing completed after 933.45s PkgEval succeeded after 2350.34s