Package evaluation to test LibraryAugmentedSymbolicRegression on Julia 1.14.0-DEV.2275 (3ea3bac2a3*) started at 2026-06-04T23:57:53.629 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.86s ################################################################################ # Installation # Installing LibraryAugmentedSymbolicRegression... Resolving package versions... 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 v4.6.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.25.0 [d1d4a3ce] + BitFlags v0.1.10 [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 v0.19.5 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 ⌅ [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 v1.13.0 [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 v1.8.0 ⌅ [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 v1.8.2 [65ce6f38] + PackageExtensionCompat v1.0.2 ⌅ [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.4 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.4 [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 [30f210dd] + ScientificTypesBase v3.1.0 [efcf1570] + Setfield v1.1.2 [777ac1f9] + SimpleBufferStream v1.2.0 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.8.0 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.11 ⌅ [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 v1.14.0 [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 v1.13.0 [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 v1.5.2+0 [deac9b47] + LibCURL_jll v8.20.0+1 [e37daf67] + LibGit2_jll v1.9.4+0 [29816b5a] + LibSSH2_jll v1.11.101+0 [14a3606d] + MozillaCACerts_jll v2026.5.14 [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 5.37s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 3.8 s ✓ MLJModelInterface 19.8 s ✓ DynamicExpressions ┌ 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 34.1 s ✓ PromptingTools 4.4 s ✓ OpenML 6.9 s ✓ DynamicQuantities → DynamicQuantitiesScientificTypesExt 9.5 s ✓ Optim 44.4 s ✓ StatisticalMeasures 3.2 s ✓ FeatureSelection 12.4 s ✓ MLJTransforms 19.5 s ✓ MLJModels 14.7 s ✓ MLJEnsembles 19.5 s ✓ MLJBase 9.1 s ✓ DynamicExpressions → DynamicExpressionsSymbolicUtilsExt 2.9 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 14.2 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 13.0 s ✓ PromptingTools → MarkdownPromptingToolsExt 5.1 s ✓ DynamicExpressions → DynamicExpressionsOptimExt 12.1 s ✓ StatisticalMeasures → ScientificTypesExt 12.8 s ✓ StatisticalMeasures → LossFunctionsExt 12.7 s ✓ MLJBase → DefaultMeasuresExt 15.2 s ✓ MLJBalancing 19.4 s ✓ MLJTestInterface 16.6 s ✓ MLJIteration 15.5 s ✓ MLJTuning 136.5 s ✓ SymbolicRegression 22.9 s ✓ MLJ 28.9 s ✓ SymbolicRegression → SymbolicRegressionSymbolicUtilsExt 21.7 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:189 125.2 s ✓ LibraryAugmentedSymbolicRegression 29 dependencies successfully precompiled in 678 seconds. 264 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 └ ┌ 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 │ ┌ 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 697.86s ################################################################################ # Testing # Testing LibraryAugmentedSymbolicRegression Status `/tmp/jl_bUTk8b/Project.toml` [4c88cf16] Aqua v0.8.15 ⌅ [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 Status `/tmp/jl_bUTk8b/Manifest.toml` [47edcb42] ADTypes v1.22.0 [da404889] ARFFFiles v1.6.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.44 [79e6a3ab] Adapt v4.6.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.15 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.25.0 [a9b6321e] Atomix v1.1.3 [198e06fe] BangBang v0.4.9 [9718e550] Baselet v0.1.1 [e2ed5e7c] Bijections v0.2.2 [50ba71b6] BitBasis v0.9.10 [d1d4a3ce] BitFlags v0.1.10 [49dc2e85] Calculus v0.5.2 [324d7699] CategoricalArrays v1.1.1 [af321ab8] CategoricalDistributions v0.2.1 [d360d2e6] ChainRulesCore v1.26.1 [944b1d66] CodecZlib v0.7.8 [3da002f7] ColorTypes v0.12.1 ⌅ [861a8166] Combinatorics v1.0.2 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FLoopsBase v0.1.1 [33837fe5] FeatureSelection v0.2.6 [1a297f60] FillArrays v1.16.0 [6a86dc24] FiniteDiff v2.31.0 ⌅ [53c48c17] FixedPointNumbers v0.8.6 ⌅ [f6369f11] ForwardDiff v0.10.39 [46192b85] GPUArraysCore v0.2.0 ⌅ [cd3eb016] HTTP v1.11.0 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [22cec73e] InitialValues v0.3.1 [85a1e053] Interfaces v0.3.2 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [b3c1a2ee] IterationControl v0.5.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.8.0 ⌅ [682c06a0] JSON v0.21.4 [0f8b85d8] JSON3 v1.14.3 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.41 [b964fa9f] LaTeXStrings v1.4.0 [a5e1c1ea] LatinHypercubeSampling v1.9.0 [92ad9a40] LearnAPI v2.0.1 [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 [c2834f40] MLCore v1.0.0 ⌃ [add582a8] MLJ v0.23.0 [45f359ea] MLJBalancing v0.1.5 [a7f614a8] MLJBase v1.13.0 [50ed68f4] MLJEnsembles v0.4.5 [614be32b] MLJIteration v0.6.5 ⌅ [e80e1ace] MLJModelInterface v1.11.1 [d491faf4] MLJModels v0.18.7 [72560011] MLJTestInterface v0.2.9 [23777cdb] MLJTransforms v0.1.5 [03970b2e] MLJTuning v0.8.9 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.16 [739be429] MbedTLS v1.1.10 [eff96d63] Measurements v2.14.1 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [102ac46a] MultivariatePolynomials v0.5.19 [d8a4904e] MutableArithmetics v1.8.0 ⌅ [d41bc354] NLSolversBase v7.10.0 ⌃ [872c559c] NNlib v0.9.31 [77ba4419] NaNMath v1.1.3 [71a1bf82] NameResolution v0.1.5 ⌅ [e9f21f70] OpenAI v0.9.1 [8b6db2d4] OpenML v0.3.3 [4d8831e6] OpenSSL v1.6.1 ⌅ [429524aa] Optim v1.11.0 ⌅ [bac558e1] OrderedCollections v1.8.2 [90014a1f] PDMats v0.11.37 [65ce6f38] PackageExtensionCompat v1.0.2 ⌅ [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.4 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [8162dcfd] PrettyPrint v0.2.0 [54e16d92] PrettyPrinting v0.4.2 [08abe8d2] PrettyTables v3.3.2 [92933f4c] ProgressMeter v1.11.0 ⌅ [670122d1] PromptingTools v0.72.3 [43287f4e] PtrArrays v1.4.0 [1fd47b50] QuadGK v2.11.3 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [05181044] RelocatableFolders v1.0.1 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.9.0 [7e49a35a] RuntimeGeneratedFunctions v0.5.19 [321657f4] ScientificTypes v3.3.0 [30f210dd] ScientificTypesBase v3.1.0 [7e506255] ScopedValues v1.6.2 [6c6a2e73] Scratch v1.3.0 [91c51154] SentinelArrays v1.4.10 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [777ac1f9] SimpleBufferStream v1.2.0 [699a6c99] SimpleTraits v0.9.6 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.8.0 [171d559e] SplittablesBase v0.1.15 [860ef19b] StableRNGs v1.0.4 [0c0c59c1] StarAlgebras v0.3.0 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[4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.5.2+0 [deac9b47] LibCURL_jll v8.20.0+1 [e37daf67] LibGit2_jll v1.9.4+0 [29816b5a] LibSSH2_jll v1.11.101+0 [14a3606d] MozillaCACerts_jll v2026.5.14 [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 1.548e-04 5.551e-16 y = (a * b) * (a / b) 9 3.916e-05 6.874e-01 y = (a * b) * ((a - 0.01437) / b) 11 3.360e-05 7.657e-02 y = ((a * b) * (a - (0.027655 * 0.62877))) / b 15 2.419e-05 8.213e-02 y = (a * (b * (a - (0.027655 / (2.3488 * (a + 0.088565))))... )) / b 17 1.882e-05 1.256e-01 y = (a * b) * ((a - (0.027655 * (1.2204 / (2.3488 * (a + 0... .10563))))) / b) 19 1.827e-05 1.473e-02 y = (a * b) * ((a - (0.033752 / ((a + ((1.2204 - a) * 0.08... 8565)) * 2.3488))) / b) 21 1.415e-05 1.278e-01 y = ((a * b) * (a - (0.033752 / ((a + (0.10809 / ((a * 2.3... 488) + a))) * 2.3488)))) / b 23 1.382e-05 1.196e-02 y = (a * b) * ((a - (0.033752 / ((a + (0.088565 / (((a + a... ) * 2.3488) + -0.5031))) * 2.3488))) / b) 27 8.317e-06 1.269e-01 y = (a * b) * ((a - (0.0092774 / (a * (a + (((0.60066 - a)... * 0.59298) / (((a + a) * 1.0313) + -0.20537)))))) / b) 29 3.261e-06 4.681e-01 y = (a * b) * ((a - ((2.0085 - ((a + (((1.1711 - a) / (((a... + a) * 3.5073) + -0.39597)) * 0.11654)) * 1.8367)) * 0.03... 1234)) / b) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_WRY62Z/20260605_001622_YRXw7g/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 9.777e-05 2.299e-01 y₁ = (a * 0.99204) * a 9 1.349e-06 1.071e+00 y₁ = (0.86897 - (a * -0.13428)) * (a * a) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.940e-01 1.201e+01 y₂ = 0.13538 * 0.13538 7 5.045e-02 3.367e-01 y₂ = ((a + 1.9196) + a) * 0.13538 9 2.388e-02 3.739e-01 y₂ = (a - (b + 0.12418)) - (-1.1432 * b) 11 1.494e-02 2.345e-01 y₂ = (a - b) - ((-1.1432 / (1.0263 / 0.74232)) * b) 13 3.316e-05 3.055e+00 y₂ = (((a - (b + 0.15553)) - (b * -1.001)) + 0.13656) * a 15 3.242e-05 1.126e-02 y₂ = (((a * 4.7657) * (a + ((a / b) * b))) - 0.083247) * ... 0.10426 17 6.011e-06 8.426e-01 y₂ = (a * ((((a - 0.042856) + ((a / b) * b)) * 3.8474) - ... 0.20697)) * 0.13538 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 2.063e-01 1.201e+01 y₃ = b - b 5 3.611e-02 8.715e-01 y₃ = b + (a - b) 7 1.548e-04 2.726e+00 y₃ = b + ((a * a) - b) 9 6.562e-05 4.293e-01 y₃ = (b + ((a * a) * 0.98277)) - b 11 4.900e-06 1.297e+00 y₃ = (a * 1.0518) * ((b / (b / a)) + -0.054803) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_I0f7U9/20260605_001704_RY46ho/hall_of_fame_output1.csv - /tmp/jl_I0f7U9/20260605_001704_RY46ho/hall_of_fame_output2.csv - /tmp/jl_I0f7U9/20260605_001704_RY46ho/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 1.354e+00 1.201e+01 y₁ = b1 * -0.024922 7 4.050e-20 9.011e+00 y₁ = b1 * (-1.1551e-10 - (b2 / -1)) 11 9.652e-27 3.812e+00 y₁ = b1 * (((b2 * 0.0011119) / 0.10226) - (b2 / -1.011)) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 0.000e+00 1.201e+01 y₂ = b2 + b1 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_4q3CeG/20260605_001724_kXP7fZ/hall_of_fame_output1.csv - /tmp/jl_4q3CeG/20260605_001724_kXP7fZ/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 3.212e-06 1.201e+01 y₁ = x₁ * 0.99824 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 0.000e+00 1.201e+01 y₂ = x₂ + 7.4142e-19 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.037e+00 1.201e+01 y₃ = x₁ + x₃ 5 2.058e-33 1.802e+01 y₃ = (x₃ - x₁) + x₁ ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_EgVkgy/test_run/hall_of_fame_output1.csv - /tmp/jl_EgVkgy/test_run/hall_of_fame_output2.csv - /tmp/jl_EgVkgy/test_run/hall_of_fame_output3.csv cols = SubString{String}["3", "3.2120759537331066e-6", "\"x1 * 0.9982403825413821\""] cols = SubString{String}["3", "0.0", "\"x2 + 7.414185266435298e-19\""] cols = SubString{String}["3", "1.0374072566391859", "\"x1 + x3\""] cols = SubString{String}["5", "2.0584579986853824e-33", "\"(x3 - x1) + x1\""] [ Info: Training machine(LaSRRegressor(use_llm = false, …), …). ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/kbyoS/src/Configure.jl:59 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_EPDrgN/20260605_001804_tTz1R3/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_q71RdU/20260605_001806_oNdzAR/hall_of_fame_output1.csv - /tmp/jl_q71RdU/20260605_001806_oNdzAR/hall_of_fame_output2.csv - /tmp/jl_q71RdU/20260605_001806_oNdzAR/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), ((::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 Connections.jl:463 [inlined], 1), (macro expansion at try_with_timeout.jl:92 [inlined], 1), ((::ConcurrentUtilities.var"#try_with_timeout##2#try_with_timeout##3"{Any, Channel{Any}, HTTP.Connections.var"#13#14"{Sockets.TCPSocket, Bool, Bool, Base.Pairs{Symbol, Union{Nothing, Int64}, Nothing, @NamedTuple{readtimeout::Int64, iofunction::Nothing, decompress::Nothing, verbose::Int64}}, SubString{String}, SubString{String}}, Timer})() at ConcurrentUtilities.jl:10, 1)])) [ Info: Training machine(LaSRRegressor(use_llm = true, …), …). ┌ Warning: api_kwargs.max_tokens is not set in LaSROptions. Defaulting to 1000. └ @ LibraryAugmentedSymbolicRegression.CoreModule.LLMOptionsModule ~/.julia/packages/LibraryAugmentedSymbolicRegression/P7fSL/src/LLMOptions.jl:110 ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/kbyoS/src/Configure.jl:59 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 2.759e+00 1.594e+01 y = -0.049835 2 2.045e+00 2.993e-01 y = cos(x₁) 4 1.658e+00 1.050e-01 y = cos(x₁ * 1.4781) 5 9.641e-01 5.421e-01 y = cos(x₁) - cos(x₂) 7 1.396e-01 9.664e-01 y = (cos(x₁) - cos(x₂)) * 2.2767 9 6.623e-02 3.727e-01 y = (cos(x₁ / 1.156) - cos(x₂)) / 0.38517 10 5.038e-15 1.594e+01 y = ((cos(x₁) - 1) * 2) + (x₂ * x₂) 13 3.979e-15 7.868e-02 y = ((cos(x₁) + cos(x₁)) - 1.1536) + ((x₂ * x₂) - 0.84639) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_ZnmmCq/20260605_001907_Bycz4E/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 | 10130 10130 15m06.7s test/test_backwards_compat.jl | 50 50 7m03.7s Generic interface tests | 2 2 4m45.0s Variable names - single outputs | 4 4 1m08.9s Variable names - multiple outputs | 7 7 17.0s Variable names - named outputs | 3 3 28.0s Good predictions | 23 23 9.2s Helpful errors | 5 5 7.2s Unfinished search | 6 6 8.4s test/runtests.jl | 10080 10080 8m03.0s Test handshake | 0 22.3s Test tutorial | 1 1 2m08.6s Test expression parser | 6054 6054 15.4s Test expression parser round trips | 4000 4000 2.9s Test llm output parser | 6 6 3.1s Test llm prompt construction | 8 8 2.4s Test whether the precompilation script works. | 0 1m20.2s Aqua tests | 11 11 3m48.0s Unbound type parameters | 1 1 0.1s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.4s Stale dependencies | 1 1 43.6s Compat bounds | 4 4 0.7s Piracy | 1 1 0.5s Persistent tasks | 1 1 1m59.6s Testing LibraryAugmentedSymbolicRegression tests passed Testing completed after 971.16s PkgEval succeeded after 1715.38s