Package evaluation to test LibraryAugmentedSymbolicRegression on Julia 1.14.0-DEV.2082 (4fdd12e277*) started at 2026-04-26T22:40:13.366 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.32s ################################################################################ # Installation # Installing LibraryAugmentedSymbolicRegression... Resolving package versions... Installed URIs ─────────────────────────────── v1.6.1 Installed DiffResults ──────────────────────── v1.1.0 Installed Tricks ───────────────────────────── v0.1.13 Installed AbstractTrees ────────────────────── v0.4.5 Installed DataStructures ───────────────────── v0.19.4 Installed FillArrays ───────────────────────── v1.16.0 Installed ConstructionBase ─────────────────── v1.6.0 Installed AliasTables ──────────────────────── v1.1.3 Installed MacroTools ───────────────────────── v0.5.16 Installed StatsBase ────────────────────────── v0.34.10 Installed ForwardDiff ──────────────────────── v0.10.39 Installed Adapt ────────────────────────────── v4.5.2 Installed StreamCallbacks ──────────────────── v0.5.2 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 TranscodingStreams ───────────────── v0.11.3 Installed DataAPI ──────────────────────────── v1.16.0 Installed Compat ───────────────────────────── v4.18.1 Installed PositiveFactorizations ───────────── v0.2.4 Installed SymbolicRegression ───────────────── v1.8.0 Installed ArrayInterface ───────────────────── v7.24.0 Installed Statistics ───────────────────────── v1.11.1 Installed StatsAPI ─────────────────────────── v1.8.0 Installed CommonSubexpressions ─────────────── v0.3.1 Installed MbedTLS ──────────────────────────── v1.1.10 Installed OpenSSL ──────────────────────────── v1.6.1 Installed ProgressMeter ────────────────────── v1.11.0 Installed DispatchDoctor ───────────────────── v0.4.28 Installed LoggingExtras ────────────────────── v1.2.0 Installed DynamicDiff ──────────────────────── v0.2.1 Installed PrecompileTools ──────────────────── v1.3.3 Installed StaticArraysCore ─────────────────── v1.4.4 Installed JSON3 ────────────────────────────── v1.14.3 Installed NaNMath ──────────────────────────── v1.1.3 Installed IrrationalConstants ──────────────── v0.2.6 Installed Requires ─────────────────────────── v1.3.1 Installed ChainRulesCore ───────────────────── v1.26.1 Installed DynamicQuantities ────────────────── v1.12.3 Installed HTTP ─────────────────────────────── v1.11.0 Installed OpenSpecFun_jll ──────────────────── v0.5.6+0 Installed DiffRules ────────────────────────── v1.15.1 Installed LogExpFunctions ──────────────────── v0.3.29 Installed BitFlags ─────────────────────────── v0.1.9 Installed OpenAI ───────────────────────────── v0.9.1 Installed JSON ─────────────────────────────── v0.21.4 Installed PackageExtensionCompat ───────────── v1.0.2 Installed Interfaces ───────────────────────── v0.3.2 Installed Parameters ───────────────────────── v0.12.3 Installed Parsers ──────────────────────────── v2.8.3 Installed NLSolversBase ────────────────────── v7.10.0 Installed FiniteDiff ───────────────────────── v2.30.0 Installed Reexport ─────────────────────────── v1.2.2 Installed PtrArrays ────────────────────────── v1.4.0 Installed LossFunctions ────────────────────── v1.2.0 Installed SpecialFunctions ─────────────────── v2.7.2 Installed Setfield ─────────────────────────── v1.1.2 Installed ScientificTypesBase ──────────────── v3.1.0 Installed Missings ─────────────────────────── v1.2.0 Installed SimpleBufferStream ───────────────── v1.2.0 Installed TestItems ────────────────────────── v1.0.0 Installed JLLWrappers ──────────────────────── v1.7.1 Installed Preferences ──────────────────────── v1.5.2 Installed DynamicExpressions ───────────────── v1.9.4 Installed MbedTLS_jll ──────────────────────── v2.28.1010+0 Installed LineSearches ─────────────────────── v7.5.1 Installed SortingAlgorithms ────────────────── v1.2.2 Installed LibraryAugmentedSymbolicRegression ─ v0.3.0 Installed PromptingTools ───────────────────── v0.72.3 Installed UnPack ───────────────────────────── v1.0.2 Installed StatisticalTraits ────────────────── v3.5.0 Installed DocStringExtensions ──────────────── v0.9.5 Installed StructTypes ──────────────────────── v1.11.0 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 v2.30.0 ⌅ [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 v2.7.2 [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 v1.4.0+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 v0.3.30+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 10.74s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling project... 4.4 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 1.1 s ✓ ConstructionBase 2.0 s ✓ IrrationalConstants 0.9 s ✓ PrettyPrint 0.8 s ✓ DataValueInterfaces 0.9 s ✓ StatsAPI 1.3 s ✓ Calculus 2.2 s ✓ Combinatorics 1.0 s ✓ ArgCheck 0.9 s ✓ TermInterface 1.4 s ✓ TranscodingStreams 0.9 s ✓ LaTeXStrings 2.6 s ✓ Baselet 0.8 s ✓ TestItems 1.0 s ✓ Interfaces 1.1 s ✓ Statistics 1.0 s ✓ Tricks 1.0 s ✓ StaticArraysCore 1.0 s ✓ StableRNGs 0.9 s ✓ PtrArrays 0.9 s ✓ SimpleBufferStream 0.8 s ✓ TaskLocalValues 1.1 s ✓ PositiveFactorizations 0.9 s ✓ DataAPI 3.6 s ✓ ExproniconLite 1.3 s ✓ URIs 3.5 s ✓ UnsafeAtomics 2.3 s ✓ ShowCases 26.5 s ✓ MLStyle 0.9 s ✓ InvertedIndices 1.0 s ✓ InverseFunctions 0.9 s ✓ BitFlags 0.9 s ✓ CompositionsBase 1.2 s ✓ AbstractTrees 1.6 s ✓ InitialValues 2.9 s ✓ PrettyPrinting 1.0 s ✓ ComputationalResources 1.0 s ✓ Bijections 2.2 s ✓ FillArrays 0.9 s ✓ ExprTools 0.8 s ✓ UnPack 1.3 s ✓ OrderedCollections 1.0 s ✓ HashArrayMappedTries 1.4 s ✓ ADTypes 1.1 s ✓ DocStringExtensions 0.8 s ✓ DefineSingletons 0.8 s ✓ IteratorInterfaceExtensions 0.8 s ✓ PackageExtensionCompat 2.0 s ✓ Crayons 0.9 s ✓ Suppressor 1.1 s ✓ DelimitedFiles 1.1 s ✓ NaNMath 1.3 s ✓ Requires 1.6 s ✓ ConcurrentUtilities 2.5 s ✓ ProgressMeter 1.3 s ✓ Scratch 2.5 s ✓ SentinelArrays 2.0 s ✓ StructTypes 1.5 s ✓ LoggingExtras 2.1 s ✓ PDMats 1.2 s ✓ Compat 1.5 s ✓ Preferences 1.4 s ✓ ScientificTypesBase 1.8 s ✓ ExceptionUnwrapping 12.8 s ✓ MutableArithmetics 1.9 s ✓ CommonSubexpressions 3.6 s ✓ SimpleTraits 0.9 s ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 0.9 s ✓ NameResolution 1.3 s ✓ Measurements 1.0 s ✓ CodecZlib 27.0 s ✓ TestItemRunner 1.5 s ✓ Statistics → SparseArraysExt 4.2 s ✓ FixedPointNumbers 1.5 s ✓ Distances 1.7 s ✓ EarlyStopping 1.8 s ✓ LossFunctions 0.9 s ✓ DiffResults 1.0 s ✓ AliasTables 1.0 s ✓ Missings 1.1 s ✓ Atomix 1.3 s ✓ InverseFunctions → InverseFunctionsDatesExt 1.8 s ✓ InverseFunctions → InverseFunctionsTestExt 4.5 s ✓ OpenSSL 0.8 s ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 1.7 s ✓ FillArrays → FillArraysSparseArraysExt 1.2 s ✓ FillArrays → FillArraysStatisticsExt 3.3 s ✓ TimerOutputs 1.0 s ✓ RuntimeGeneratedFunctions 1.1 s ✓ Parameters 3.8 s ✓ DataStructures 0.9 s ✓ ScopedValues 1.0 s ✓ ADTypes → ADTypesConstructionBaseExt 2.0 s ✓ DifferentiationInterface 1.4 s ✓ LogExpFunctions 0.8 s ✓ TableTraits 1.0 s ✓ Adapt 1.5 s ✓ RelocatableFolders 1.6 s ✓ FillArrays → FillArraysPDMatsExt 0.9 s ✓ Compat → CompatLinearAlgebraExt 1.3 s ✓ PrecompileTools 1.8 s ✓ JLLWrappers 2.5 s ✓ LearnAPI 4.7 s ✓ DispatchDoctor 1.4 s ✓ StatisticalTraits 5.9 s ✓ StarAlgebras 1.3 s ✓ Unityper 2.9 s ✓ Setfield 12.0 s ✓ JuliaVariables 2.9 s ✓ ColorTypes 1.5 s ✓ Distances → DistancesSparseArraysExt 3.8 s ✓ IterationControl 5.8 s ✓ Accessors 1.2 s ✓ SortingAlgorithms 2.5 s ✓ QuadGK 1.5 s ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt 0.8 s ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 2.0 s ✓ Tables 1.3 s ✓ ArrayInterface 1.4 s ✓ Adapt → AdaptSparseArraysExt 1.3 s ✓ GPUArraysCore 2.5 s ✓ ChainRulesCore 6.5 s ✓ Aqua 1.2 s ✓ ContextVariablesX 3.1 s ✓ CategoricalArrays 3.9 s ✓ StringManipulation 13.4 s ✓ StaticArrays 3.4 s ✓ RecipesBase 16.1 s ✓ Parsers 2.1 s ✓ Rmath_jll 2.1 s ✓ OpenSpecFun_jll 2.1 s ✓ MbedTLS_jll 9.9 s ✓ DynamicQuantities 3.7 s ✓ MLJModelInterface 5.2 s ✓ MultivariatePolynomials 3.8 s ✓ SplittablesBase 1.3 s ✓ ColorTypes → StyledStringsExt 2.3 s ✓ Accessors → TestExt 3.0 s ✓ Accessors → LinearAlgebraExt 4.8 s ✓ StatsBase 1.8 s ✓ TableOperations 3.6 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 1.1 s ✓ Distances → DistancesChainRulesCoreExt 0.9 s ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt 3.7 s ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 1.9 s ✓ DispatchDoctor → DispatchDoctorChainRulesCoreExt 1.0 s ✓ ArrayInterface → ArrayInterfaceChainRulesCoreExt 1.0 s ✓ FLoopsBase 1.6 s ✓ CategoricalArrays → CategoricalArraysSentinelArraysExt 1.4 s ✓ CategoricalArrays → CategoricalArraysStructTypesExt 1.5 s ✓ LossFunctions → LossFunctionsCategoricalArraysExt 42.5 s ✓ PrettyTables 2.9 s ✓ BitBasis 1.8 s ✓ StaticArrays → StaticArraysStatisticsExt 1.8 s ✓ StaticArrays → StaticArraysChainRulesCoreExt 1.8 s ✓ ConstructionBase → ConstructionBaseStaticArraysExt 2.0 s ✓ FillArrays → FillArraysStaticArraysExt 1.8 s ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt 1.7 s ✓ Adapt → AdaptStaticArraysExt 1.9 s ✓ Accessors → StaticArraysExt 1.7 s ✓ Measurements → MeasurementsRecipesBaseExt 1.9 s ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 14.7 s ✓ JSON3 4.3 s ✓ JSON 3.0 s ✓ ARFFFiles 1.9 s ✓ Rmath 5.9 s ✓ SpecialFunctions 2.4 s ✓ MbedTLS 2.2 s ✓ DynamicQuantities → DynamicQuantitiesLinearAlgebraExt 1.7 s ✓ DynamicQuantities → DynamicQuantitiesMeasurementsExt 3.5 s ✓ FeatureSelection 4.7 s ✓ DynamicPolynomials 5.8 s ✓ MultivariatePolynomials → MultivariatePolynomialsChainRulesCoreExt 2.0 s ✓ BangBang 2.1 s ✓ LatinHypercubeSampling 1.5 s ✓ PDMats → StatsBaseExt 1.7 s ✓ CategoricalArrays → CategoricalArraysStatsBaseExt 1.4 s ✓ FiniteDiff 4.0 s ✓ SymbolicIndexingInterface 20.6 s ✓ DynamicExpressions 9.6 s ✓ KernelAbstractions 1.7 s ✓ CategoricalArrays → CategoricalArraysJSONExt 4.6 s ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 2.6 s ✓ HypergeometricFunctions 1.5 s ✓ Measurements → MeasurementsSpecialFunctionsExt 1.4 s ✓ DiffRules 25.4 s ✓ HTTP 1.7 s ✓ BangBang → BangBangChainRulesCoreExt 1.5 s ✓ BangBang → BangBangTablesExt 2.1 s ✓ BangBang → BangBangStaticArraysExt 3.2 s ✓ MicroCollections 1.8 s ✓ FiniteDiff → FiniteDiffStaticArraysExt 1.4 s ✓ FiniteDiff → FiniteDiffSparseArraysExt 1.0 s ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt 3.9 s ✓ SymbolicIndexingInterface → SymbolicIndexingInterfacePrettyTablesExt 3.3 s ✓ KernelAbstractions → SparseArraysExt 2.5 s ✓ KernelAbstractions → LinearAlgebraExt 42.6 s ✓ SymbolicUtils 3.2 s ✓ StatsFuns 7.6 s ✓ ForwardDiff 12.4 s ✓ StreamCallbacks 4.1 s ✓ OpenAI 4.5 s ✓ OpenML 8.9 s ✓ Transducers 14.1 s ✓ NNlib 7.6 s ✓ DynamicExpressions → DynamicExpressionsSymbolicUtilsExt 4.1 s ✓ StatsFuns → StatsFunsChainRulesCoreExt 1.3 s ✓ StatsFuns → StatsFunsInverseFunctionsExt 9.5 s ✓ Distributions 2.4 s ✓ ForwardDiff → ForwardDiffStaticArraysExt 1.8 s ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 3.1 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 37.7 s ✓ PromptingTools 3.2 s ✓ Transducers → TransducersAdaptExt 15.5 s ✓ FLoops 2.7 s ✓ NNlib → NNlibSpecialFunctionsExt 2.9 s ✓ NNlib → NNlibForwardDiffExt 4.0 s ✓ Distributions → DistributionsTestExt 3.5 s ✓ Distributions → DistributionsChainRulesCoreExt 6.6 s ✓ ScientificTypes 2.9 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 16.0 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 15.2 s ✓ PromptingTools → MarkdownPromptingToolsExt 22.5 s ✓ MLUtils 5.5 s ✓ DynamicQuantities → DynamicQuantitiesScientificTypesExt 7.8 s ✓ CategoricalDistributions 10.7 s ✓ MLJTransforms 3.2 s ✓ LineSearches 18.8 s ✓ StatisticalMeasuresBase 16.9 s ✓ MLJModels 8.4 s ✓ Optim 43.1 s ✓ StatisticalMeasures 14.1 s ✓ MLJEnsembles 18.4 s ✓ MLJBase 4.6 s ✓ DynamicExpressions → DynamicExpressionsOptimExt 10.0 s ✓ StatisticalMeasures → ScientificTypesExt 8.6 s ✓ StatisticalMeasures → LossFunctionsExt 11.7 s ✓ MLJBase → DefaultMeasuresExt 11.9 s ✓ MLJBalancing 13.6 s ✓ MLJTestInterface 14.2 s ✓ MLJIteration 15.7 s ✓ MLJTuning 129.1 s ✓ SymbolicRegression 21.2 s ✓ MLJ 26.1 s ✓ SymbolicRegression → SymbolicRegressionSymbolicUtilsExt 20.0 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:189 116.8 s ✓ LibraryAugmentedSymbolicRegression 254 dependencies successfully precompiled in 1413 seconds. 39 already precompiled. 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 1435.77s ################################################################################ # Testing # Testing LibraryAugmentedSymbolicRegression Status `/tmp/jl_U0cKez/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 [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 v1.1.5 [1c621080] TestItems v1.0.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 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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 1 1.165e-01 3.604e+01 y = 0.1729 3 1.548e-04 3.312e+00 y = a * a 5 1.304e-04 8.593e-02 y = (a - 0.0019587) * a 7 6.037e-05 3.850e-01 y = (a - (0.0019587 / 0.20124)) * a 11 3.616e-05 1.282e-01 y = (a - (((a / a) / 0.09178) * 0.0019587)) * a 13 3.331e-05 4.099e-02 y = (a - (((a / a) / (0.09178 - -0.017831)) * 0.0019587)) ... * a 15 3.322e-05 1.303e-03 y = (a - ((((a / a) / (0.09178 - -0.017831)) - -0.13643) *... 0.0019587)) * a 17 2.987e-05 5.328e-02 y = (a - ((((a / a) / (0.09178 - (-0.017831 * a))) - -0.13... 643) * 0.0019587)) * a 21 3.202e-06 5.583e-01 y = (a - (((((a * 3.4167) * (1.1747 - (a * a))) * -2.1257)... - -0.94497) * (-0.0066382 / a))) * a 29 8.420e-07 1.670e-01 y = (a - (((a * (((-0.23183 - (a * a)) * (((b / b) + (a / ... a)) - -1.3847)) * 0.0095972)) - -0.040236) * (b / b))) * a ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_WcY8LP/20260426_231059_7pjDsF/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 3.319e-05 7.701e-01 y₁ = a * (a + -0.018458) 15 4.900e-06 1.913e-01 y₁ = (a * (((a + -0.51677) + (-0.79422 - (a * -0.30374)))... * 0.80677)) + a ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.548e-04 1.201e+01 y₂ = a * a 5 6.309e-05 4.489e-01 y₂ = (a * a) * 0.97934 7 6.309e-05 6.661e-16 y₂ = (a * (a * 1.0258)) / 1.0475 9 3.319e-05 3.212e-01 y₂ = b + ((a * (a + -0.018458)) - b) 19 1.074e-05 1.129e-01 y₂ = (((((a - b) + a) + b) + (((a - -1.4906) * a) + a)) *... 0.18395) * a 25 4.900e-06 1.307e-01 y₂ = ((((a / 0.38869) * a) * -0.022727) / a) + ((((b * 0.... 014057) / ((b / 0.053387) * 0.98718)) + a) * (a * 1.0518)... ) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.548e-04 1.201e+01 y₃ = a * a 5 4.363e-05 6.334e-01 y₃ = a * (a + -0.023865) 7 3.319e-05 1.368e-01 y₃ = ((a - -1.3737) + -1.3922) * a 13 4.943e-06 3.174e-01 y₃ = (((-0.21278 - (a + -0.26866)) * 1.1702) / -1.4762) *... (a * 1.3291) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_RezNqy/20260426_231142_HKeMdj/hall_of_fame_output1.csv - /tmp/jl_RezNqy/20260426_231142_HKeMdj/hall_of_fame_output2.csv - /tmp/jl_RezNqy/20260426_231142_HKeMdj/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 7 1.231e+00 5.149e+00 y₁ = b1 * (b1 / (b1 + b1)) 9 1.215e+00 6.554e-03 y₁ = b1 * ((b1 / 1.4854) / (b1 + b1)) 11 1.130e+00 3.625e-02 y₁ = ((b1 * (b1 / 1.4854)) / (b1 + b1)) - 0.31755 13 1.105e-21 1.802e+01 y₁ = (((b1 * b1) * 1.4847) * (b2 / (b1 + b1))) / 0.74235 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 0.000e+00 1.201e+01 y₂ = b2 + b1 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_RcAgKS/20260426_231201_12uSpI/hall_of_fame_output1.csv - /tmp/jl_RcAgKS/20260426_231201_12uSpI/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 1.540e-01 1.201e+01 y₁ = x₁ / 1.6267 9 9.282e-23 6.007e+00 y₁ = x₁ / (((x₁ - 0.60129) + 1.6013) - x₁) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 7.376e-02 1.201e+01 y₂ = x₂ - 0.27159 5 0.000e+00 1.802e+01 y₂ = x₂ - (0.53876 - 0.53876) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 0.000e+00 1.201e+01 y₃ = x₃ - -1.2047e-18 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_ne1Kom/test_run/hall_of_fame_output1.csv - /tmp/jl_ne1Kom/test_run/hall_of_fame_output2.csv - /tmp/jl_ne1Kom/test_run/hall_of_fame_output3.csv cols = SubString{String}["3", "0.15398399369337315", "\"x1 / 1.6267256359504998\""] cols = SubString{String}["9", "9.282000255229685e-23", "\"x1 / (((x1 - 0.6012892348072311) + 1.60128923481669) - x1)\""] cols = SubString{String}["3", "0.07375844585294614", "\"x2 - 0.2715850619105293\""] cols = SubString{String}["5", "0.0", "\"x2 - (0.5387603633341178 - 0.5387603633341178)\""] cols = SubString{String}["3", "0.0", "\"x3 - -1.2047058441222295e-18\""] [ 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_xL9zFK/20260426_231241_FDGcIC/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_HJk5pe/20260426_231243_Ca0GKA/hall_of_fame_output1.csv - /tmp/jl_HJk5pe/20260426_231243_Ca0GKA/hall_of_fame_output2.csv - /tmp/jl_HJk5pe/20260426_231243_Ca0GKA/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 2.115e+00 1.594e+01 y = 0.064173 2 1.673e+00 2.345e-01 y = cos(x₁) 3 1.507e+00 1.041e-01 y = x₂ * x₂ 4 1.300e+00 1.478e-01 y = cos(x₁ / 0.63777) 5 6.984e-01 6.215e-01 y = cos(x₁) - cos(x₂) 7 7.166e-02 1.138e+00 y = (cos(x₁) - cos(x₂)) / 0.44668 9 2.843e-02 4.623e-01 y = (cos(x₁) - cos(x₂ / 0.88762)) / 0.47869 11 2.816e-02 4.856e-03 y = (cos((x₂ * -1.1269) - -3.1528) + cos(x₁)) / 0.47891 12 3.857e-03 1.988e+00 y = (cos(x₁) - cos(x₂ / cos(x₂ * -0.35548))) / 0.50027 14 2.424e-03 2.323e-01 y = (cos(x₁) - cos(x₂ / (cos(x₂ * -0.39632) * -1.0484))) /... 0.50121 16 2.077e-03 7.718e-02 y = ((cos(x₁) - cos(x₂ / (cos(x₂ * 0.40168) * -1.0743))) /... 0.49614) + 0.034313 18 2.077e-03 1.052e-05 y = ((cos(x₁) - cos((x₂ - -0.00015014) / (cos(x₂ * 0.40172... ) * -1.0743))) / 0.49615) + 0.034324 20 1.876e-03 5.092e-02 y = (cos(x₁) - cos(x₂ / cos((cos(x₁ - x₁) - cos(x₂ / 1.128... 9)) * -0.63671))) / 0.49796 22 1.847e-03 7.613e-03 y = (cos(x₁) - (cos(x₂ / cos((cos(x₁ - x₁) - cos(x₂ / 1.09... 94)) * -0.61036)) * 0.99682)) / 0.49761 26 1.631e-03 3.122e-02 y = (cos((0.6503 ^ ((x₂ * 0.58313) - cos((x₂ * 1.081) + -1... .5901))) - ((x₂ * 1.0699) + -2.1379)) + cos(x₁ * 0.89551))... / 0.42964 27 1.567e-03 3.959e-02 y = (cos(x₁) - cos(x₂ / cos((cos((x₁ - x₁) - -0.82955) ^ c... os(x₂ / cos((x₂ * -0.085545) / -0.33001))) - 0.53552))) / ... 0.49727 28 3.873e-04 1.398e+00 y = (cos(((x₂ * 1.0998) + -2.2384) - ((1.3073 ^ ((x₂ - (x₂... / (cos(x₂) + 1.0363))) - 0.35231)) ^ 1.1568)) + cos(x₁ * ... 0.94789)) / 0.46289 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_rKUBkq/20260426_231335_oTJ5r1/hall_of_fame.csv Test tutorial: Test Failed at /home/pkgeval/.julia/packages/LibraryAugmentedSymbolicRegression/P7fSL/test/test_tutorial.jl:35 Expression: maximum(abs.(pred - y)) < 1.0e-5 Evaluated: 0.08648229f0 < 1.0e-5 Stacktrace: [1] top-level scope @ ~/.julia/packages/LibraryAugmentedSymbolicRegression/P7fSL/test/test_tutorial.jl:560 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:784 [inlined] 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 Fail Total Time Package | 10130 1 10131 15m11.0s test/test_backwards_compat.jl | 51 51 6m42.4s Generic interface tests | 2 2 4m28.2s Variable names - single outputs | 4 4 1m05.2s Variable names - multiple outputs | 7 7 17.8s Variable names - named outputs | 3 3 26.6s Good predictions | 24 24 9.4s Helpful errors | 5 5 7.0s Unfinished search | 6 6 8.3s test/runtests.jl | 10079 1 10080 8m28.6s Test handshake | 0 21.8s Test tutorial | 1 1 2m14.0s Test expression parser | 6054 6054 16.4s Test expression parser round trips | 4000 4000 3.0s Test llm output parser | 6 6 5.0s Test llm prompt construction | 8 8 2.6s Test whether the precompilation script works. | 0 1m19.2s Aqua tests | 11 11 4m06.6s 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 48.4s Compat bounds | 4 4 0.8s Piracy | 1 1 0.6s Persistent tasks | 1 1 2m10.1s ERROR: LoadError: Some tests did not pass: 10130 passed, 1 failed, 0 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/LibraryAugmentedSymbolicRegression/P7fSL/test/runtests.jl:10 Testing failed after 963.27s ERROR: LoadError: Package LibraryAugmentedSymbolicRegression errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3162 [3] Cmd(cmd::Cmd) @ Base /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3025 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:586 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [7] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [8] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [10] include(mod::Module, _path::String) @ Base ./Base.jl:326 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:352 [12] _start() @ Base ./client.jl:593 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 2479.41s: networking-related issues were detected