Package evaluation to test LibraryAugmentedSymbolicRegression on Julia 1.14.0-DEV.1808 (1cd77b505e*) started at 2026-02-26T22:07:05.293 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.95s ################################################################################ # 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 v1.21.0 [1520ce14] + AbstractTrees v0.4.5 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.22.0 [d1d4a3ce] + BitFlags v0.1.9 [d360d2e6] + ChainRulesCore v1.26.0 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [f0e56b4a] + ConcurrentUtilities v2.5.1 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.3 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 ⌅ [a0c0ee7d] + DifferentiationInterface v0.6.54 [8d63f2c5] + DispatchDoctor v0.4.28 [ffbed154] + DocStringExtensions v0.9.5 ⌅ [7317a516] + DynamicDiff v0.2.1 ⌅ [a40a106e] + DynamicExpressions v1.9.4 [06fc5a27] + DynamicQuantities v1.11.0 [460bff9d] + ExceptionUnwrapping v0.1.11 [1a297f60] + FillArrays v1.16.0 [6a86dc24] + FiniteDiff v2.29.0 ⌅ [f6369f11] + ForwardDiff v0.10.39 [cd3eb016] + HTTP v1.10.19 [85a1e053] + Interfaces v0.3.2 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 ⌅ [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [158930c3] + LibraryAugmentedSymbolicRegression v0.3.0 ⌃ [d3d80556] + LineSearches v7.5.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [30fc2ffe] + LossFunctions v1.2.0 ⌅ [e80e1ace] + MLJModelInterface v1.11.1 [1914dd2f] + MacroTools v0.5.16 [739be429] + MbedTLS v1.1.10 [e1d29d7a] + Missings v1.2.0 ⌅ [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 ⌅ [e9f21f70] + OpenAI v0.9.1 [4d8831e6] + OpenSSL v1.6.1 ⌅ [429524aa] + Optim v1.11.0 [bac558e1] + OrderedCollections v1.8.1 [65ce6f38] + PackageExtensionCompat v1.0.2 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.3 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.2 [92933f4c] + ProgressMeter v1.11.0 ⌅ [670122d1] + PromptingTools v0.72.3 [43287f4e] + PtrArrays v1.4.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [30f210dd] + ScientificTypesBase v3.1.0 [efcf1570] + Setfield v1.1.2 [777ac1f9] + SimpleBufferStream v1.2.0 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.7.1 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.10 ⌅ [c1b9e933] + StreamCallbacks v0.5.2 [856f2bd8] + StructTypes v1.11.0 ⌃ [8254be44] + SymbolicRegression v1.8.0 [1c621080] + TestItems v1.0.0 [3bb67fe8] + TranscodingStreams v0.11.3 [410a4b4d] + Tricks v0.1.13 [5c2747f8] + URIs v1.6.1 [3a884ed6] + UnPack v1.0.2 [c8ffd9c3] + MbedTLS_jll v2.28.1010+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.18.0+0 [e37daf67] + LibGit2_jll v1.9.2+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.30+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.5+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.68.0+1 [3f19e933] + p7zip_jll v17.7.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 6.28s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 3676.2 ms ✓ MLJModelInterface 1757.0 ms ✓ LossFunctions → LossFunctionsCategoricalArraysExt 22239.0 ms ✓ DynamicExpressions 6932.0 ms ✓ StreamCallbacks 6310.0 ms ✓ DynamicQuantities → DynamicQuantitiesScientificTypesExt 8236.5 ms ✓ Optim 45954.2 ms ✓ StatisticalMeasures 3204.0 ms ✓ FeatureSelection 12251.4 ms ✓ MLJTransforms 19583.2 ms ✓ MLJModels 14577.4 ms ✓ MLJEnsembles 20302.0 ms ✓ MLJBase 7976.9 ms ✓ DynamicExpressions → DynamicExpressionsSymbolicUtilsExt 3537.3 ms ✓ DynamicDiff ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 ┌ Warning: RAGTools will be moved into a dedicated package from PromptingTools v0.75 onward. │ Please adjust your code accordingly, see https://github.com/JuliaGenAI/RAGTools.jl └ @ PromptingTools.Experimental.RAGTools ~/.julia/packages/PromptingTools/M1mWQ/src/Experimental/RAGTools/RAGTools.jl:59 35489.7 ms ✓ PromptingTools 3998.4 ms ✓ DynamicExpressions → DynamicExpressionsOptimExt 11776.9 ms ✓ StatisticalMeasures → ScientificTypesExt 12046.9 ms ✓ StatisticalMeasures → LossFunctionsExt 12401.5 ms ✓ MLJBase → DefaultMeasuresExt 14856.7 ms ✓ MLJBalancing 20340.7 ms ✓ MLJTestInterface 16077.3 ms ✓ MLJIteration 13524.1 ms ✓ MLJFlow 14763.5 ms ✓ MLJTuning ┌ 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 14528.8 ms ✓ PromptingTools → RAGToolsExperimentalExt ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 14159.0 ms ✓ PromptingTools → MarkdownPromptingToolsExt 135287.6 ms ✓ SymbolicRegression 22691.1 ms ✓ MLJ 27745.0 ms ✓ SymbolicRegression → SymbolicRegressionSymbolicUtilsExt 20959.7 ms ✓ SymbolicRegression → SymbolicRegressionJSON3Ext WARNING: Constructor for type "LaSROptions" was extended in `LLMOptionsModule` without explicit qualification or import.  NOTE: Assumed "LaSROptions" refers to `LLMOptionsStructModule.LaSROptions`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function LaSROptions end`.  Hint: To silence the warning, qualify `LaSROptions` as `LLMOptionsStructModule.LaSROptions` in the method signature or explicitly `import LLMOptionsStructModule: LaSROptions`. WARNING: Constructor for type "LaSROptions" was extended in `LLMOptionsModule` without explicit qualification or import.  NOTE: Assumed "LaSROptions" refers to `LLMOptionsStructModule.LaSROptions`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function LaSROptions end`.  Hint: To silence the warning, qualify `LaSROptions` as `LLMOptionsStructModule.LaSROptions` in the method signature or explicitly `import LLMOptionsStructModule: LaSROptions`. ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 121173.3 ms ✓ LibraryAugmentedSymbolicRegression 31 dependencies successfully precompiled in 692 seconds. 261 already precompiled. 4 dependencies had output during precompilation: ┌ PromptingTools → RAGToolsExperimentalExt │ ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! │ └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 └ ┌ PromptingTools │ ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! │ └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 │ ┌ Warning: RAGTools will be moved into a dedicated package from PromptingTools v0.75 onward. │ │ Please adjust your code accordingly, see https://github.com/JuliaGenAI/RAGTools.jl │ └ @ PromptingTools.Experimental.RAGTools ~/.julia/packages/PromptingTools/M1mWQ/src/Experimental/RAGTools/RAGTools.jl:59 └ ┌ 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 └ ┌ 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 714.42s ################################################################################ # Testing # Testing LibraryAugmentedSymbolicRegression Status `/tmp/jl_NV2Jcb/Project.toml` [4c88cf16] Aqua v0.8.14 ⌅ [a40a106e] DynamicExpressions v1.9.4 [cd3eb016] HTTP v1.10.19 [0f8b85d8] JSON3 v1.14.3 [158930c3] LibraryAugmentedSymbolicRegression v0.3.0 ⌃ [d3d80556] LineSearches v7.5.1 [add582a8] MLJ v0.22.0 [a7f614a8] MLJBase v1.12.1 ⌅ [e80e1ace] MLJModelInterface v1.11.1 [72560011] MLJTestInterface v0.2.9 ⌅ [429524aa] Optim v1.11.0 ⌅ [670122d1] PromptingTools v0.72.3 [fd094767] Suppressor v0.2.8 ⌃ [8254be44] SymbolicRegression v1.8.0 ⌃ [d1185830] SymbolicUtils v3.32.0 [f8b46487] TestItemRunner v1.1.4 [1c621080] TestItems v1.0.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_NV2Jcb/Manifest.toml` [47edcb42] ADTypes v1.21.0 [da404889] ARFFFiles v1.6.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.14 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.22.0 [a9b6321e] Atomix v1.1.2 [198e06fe] BangBang v0.4.8 [9718e550] Baselet v0.1.1 [e2ed5e7c] Bijections v0.2.2 [50ba71b6] BitBasis v0.9.10 [d1d4a3ce] BitFlags v0.1.9 [324d7699] CategoricalArrays v1.0.2 [af321ab8] CategoricalDistributions v0.2.1 [d360d2e6] ChainRulesCore v1.26.0 [944b1d66] CodecZlib v0.7.8 [3da002f7] ColorTypes v0.12.1 ⌅ [861a8166] Combinatorics v1.0.2 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [f0e56b4a] ConcurrentUtilities v2.5.1 [187b0558] ConstructionBase v1.6.0 [6add18c4] ContextVariablesX v0.1.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.3 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 ⌅ [a0c0ee7d] DifferentiationInterface v0.6.54 [8d63f2c5] DispatchDoctor v0.4.28 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.123 [ffbed154] DocStringExtensions v0.9.5 ⌅ [7317a516] DynamicDiff v0.2.1 ⌅ [a40a106e] DynamicExpressions v1.9.4 [7c1d4256] DynamicPolynomials v0.6.4 [06fc5a27] DynamicQuantities v1.11.0 [792122b4] EarlyStopping v0.3.0 [460bff9d] ExceptionUnwrapping v0.1.11 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [33837fe5] FeatureSelection v0.2.4 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.16.0 [6a86dc24] FiniteDiff v2.29.0 [53c48c17] FixedPointNumbers v0.8.5 ⌅ [f6369f11] ForwardDiff v0.10.39 [46192b85] GPUArraysCore v0.2.0 [cd3eb016] HTTP v1.10.19 [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 v1.7.1 ⌅ [682c06a0] JSON v0.21.4 [0f8b85d8] JSON3 v1.14.3 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.40 [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 ⌅ [64a0f543] MLFlowClient v0.5.1 [add582a8] MLJ v0.22.0 [45f359ea] MLJBalancing v0.1.5 [a7f614a8] MLJBase v1.12.1 [50ed68f4] MLJEnsembles v0.4.4 [7b7b8358] MLJFlow v0.5.0 [614be32b] MLJIteration v0.6.4 ⌅ [e80e1ace] MLJModelInterface v1.11.1 [d491faf4] MLJModels v0.18.4 [72560011] MLJTestInterface v0.2.9 [23777cdb] MLJTransforms v0.1.4 [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 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [102ac46a] MultivariatePolynomials v0.5.13 [d8a4904e] MutableArithmetics v1.6.7 ⌅ [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 v1.8.1 [90014a1f] PDMats v0.11.37 [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 [8162dcfd] PrettyPrint v0.2.0 [54e16d92] PrettyPrinting v0.4.2 [08abe8d2] PrettyTables v3.2.3 [92933f4c] ProgressMeter v1.11.0 ⌅ [670122d1] PromptingTools v0.72.3 [43287f4e] PtrArrays v1.4.0 [1fd47b50] QuadGK v2.11.2 [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 v0.5.17 [321657f4] ScientificTypes v3.2.0 [30f210dd] ScientificTypesBase v3.1.0 [7e506255] ScopedValues v1.5.0 [6c6a2e73] Scratch v1.3.0 [91c51154] SentinelArrays v1.4.9 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [777ac1f9] SimpleBufferStream v1.2.0 [699a6c99] SimpleTraits v0.9.5 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.7.1 [171d559e] SplittablesBase v0.1.15 [860ef19b] StableRNGs v1.0.4 [90137ffa] StaticArrays v1.9.17 [1e83bf80] StaticArraysCore v1.4.4 [a19d573c] StatisticalMeasures v0.3.4 [c062fc1d] StatisticalMeasuresBase v0.1.3 [64bff920] StatisticalTraits v3.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.10 [4c63d2b9] StatsFuns v1.5.2 ⌅ [c1b9e933] StreamCallbacks v0.5.2 [892a3eda] StringManipulation v0.4.4 [856f2bd8] StructTypes v1.11.0 [fd094767] Suppressor v0.2.8 [2efcf032] SymbolicIndexingInterface v0.3.46 ⌃ [8254be44] SymbolicRegression v1.8.0 ⌃ [d1185830] SymbolicUtils v3.32.0 [ab02a1b2] TableOperations v1.2.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [ed4db957] TaskLocalValues v0.1.3 [8ea1fca8] TermInterface v2.0.0 [f8b46487] TestItemRunner v1.1.4 [1c621080] TestItems v1.0.0 [a759f4b9] TimerOutputs v0.5.29 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.85 [410a4b4d] Tricks v0.1.13 [5c2747f8] URIs v1.6.1 [3a884ed6] UnPack v1.0.2 [a7c27f48] Unityper v0.1.6 [013be700] UnsafeAtomics v0.3.0 [c8ffd9c3] MbedTLS_jll v2.28.1010+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.18.0+0 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.30+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.5+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+1 [3f19e933] p7zip_jll v17.7.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 [ Info: Training machine(LaSRRegressor(use_llm = false, …), …). ┌ Warning: `npop` is deprecated. Use `population_size` instead. │ caller = LibraryAugmentedSymbolicRegression.CoreModule.LLMOptionsStructModule.LaSROptions(; use_llm::Bool, use_concepts::Bool, use_concept_evolution::Bool, mutation_weights::Union{Nothing, LibraryAugmentedSymbolicRegression.CoreModule.LaSRMutationWeightsModule.LaSRMutationWeights, NamedTuple, AbstractVector}, llm_operation_weights::Union{Nothing, LibraryAugmentedSymbolicRegression.CoreModule.LLMOptionsStructModule.LLMOperationWeights, NamedTuple, AbstractVector}, num_pareto_context::Int64, num_generated_equations::Int64, num_generated_concepts::Int64, num_concept_crossover::Int64, max_concepts::Int64, is_parametric::Bool, llm_context::Nothing, variable_names::Nothing, prompts_dir::Nothing, idea_database::Nothing, api_key::Nothing, model::Nothing, api_kwargs::Nothing, http_kwargs::Nothing, verbose::Bool, kws::Base.Pairs{Symbol, Any, Nothing, @NamedTuple{defaults::Nothing, binary_operators::Nothing, unary_operators::Nothing, maxsize::Nothing, maxdepth::Nothing, expression_spec::Nothing, populations::Nothing, population_size::Nothing, ncycles_per_iteration::Nothing, elementwise_loss::Nothing, loss_function::Nothing, loss_function_expression::Nothing, dimensional_constraint_penalty::Nothing, parsimony::Nothing, constraints::Nothing, nested_constraints::Nothing, complexity_of_operators::Nothing, complexity_of_constants::Nothing, complexity_of_variables::Nothing, warmup_maxsize_by::Nothing, adaptive_parsimony_scaling::Nothing, crossover_probability::Nothing, annealing::Nothing, alpha::Nothing, tournament_selection_n::Nothing, tournament_selection_p::Nothing, early_stop_condition::Main.var"##149".var"#2#3", batching::Nothing, batch_size::Nothing, dimensionless_constants_only::Bool, complexity_mapping::Nothing, use_frequency::Bool, use_frequency_in_tournament::Bool, should_simplify::Nothing, perturbation_factor::Nothing, probability_negate_constant::Nothing, skip_mutation_failures::Bool, optimizer_algorithm::Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.BackTracking{Float64, Int64}, Nothing, Nothing, Optim.Flat}, optimizer_nrestarts::Int64, optimizer_probability::Float64, optimizer_iterations::Nothing, optimizer_f_calls_limit::Nothing, optimizer_options::Nothing, should_optimize_constants::Bool, migration::Bool, hof_migration::Bool, fraction_replaced::Nothing, fraction_replaced_hof::Nothing, topn::Nothing, timeout_in_seconds::Nothing, max_evals::Nothing, input_stream::IOStream, turbo::Bool, bumper::Bool, autodiff_backend::Nothing, deterministic::Bool, seed::Nothing, verbosity::Nothing, print_precision::Int64, progress::Nothing, output_directory::Nothing, save_to_file::Bool, bin_constraints::Nothing, una_constraints::Nothing, terminal_width::Nothing, use_recorder::Bool, recorder_file::String, define_helper_functions::Bool, expression_type::Nothing, expression_options::Nothing, node_type::Nothing, output_file::Nothing, fast_cycle::Bool, npopulations::Int64, npop::Int64}}) at LLMOptions.jl:192 └ @ Core ~/.julia/packages/LibraryAugmentedSymbolicRegression/P7fSL/src/LLMOptions.jl:192 ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/kbyoS/src/Configure.jl:59 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.548e-04 1.201e+01 y = a * a 5 1.427e-04 4.093e-02 y = a * (a - 0.035968) 7 3.334e-05 7.269e-01 y = a * ((a - 0.046544) + 0.027429) 9 1.496e-05 4.007e-01 y = a * (((0.027429 * a) + a) - 0.042476) 11 1.248e-05 9.074e-02 y = a * ((0.027429 * (a - -0.18873)) + (a - 0.042476)) 13 6.949e-07 1.444e+00 y = a * (((((a * a) * a) * 0.036424) + a) - 0.035968) 15 6.040e-07 7.012e-02 y = a * ((((((a * a) * a) + -0.017734) * 0.036424) + a) - ... 0.035968) 19 5.999e-07 1.669e-03 y = a * (((((a * (a * a)) + (0.042476 / (-2.3952 - a))) * ... 0.036424) + a) - 0.035968) 21 5.716e-07 2.416e-02 y = a * (((((a * (a * a)) + (0.041455 / (-3.793 - (a * a))... )) * 0.037422) + a) - 0.036626) 23 4.906e-07 7.649e-02 y = a * (((((a * (a * a)) + (0.058744 / (-0.81441 - ((a * ... a) - a)))) * 0.036303) + a) - 0.033161) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_1EZwdd/20260226_222549_q6F7I3/hall_of_fame.csv [ Info: Training machine(MultitargetLaSRRegressor(use_llm = false, …), …). ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/kbyoS/src/Configure.jl:59 [ Info: Started! [ Info: Final populations: [ Info: Output 1: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 8.649e-02 3.604e+01 y₁ = 0.34616 3 1.548e-04 3.163e+00 y₁ = a * a 7 6.309e-05 2.245e-01 y₁ = a * ((a * 1.1002) / 1.1234) 17 1.946e-05 1.176e-01 y₁ = ((a / -1.1201) + 0.052393) / (((((a * -0.014903) * b... ) + -2.1814) / a) * 0.38909) 19 5.566e-06 6.257e-01 y₁ = ((a / -0.63948) + 0.090121) / ((((((a + 0.0076144) *... b) + -1.7923) / a) - b) * 0.82678) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 1.679e-01 3.604e+01 y₂ = 0.060761 3 1.548e-04 3.495e+00 y₂ = a * a 5 3.319e-05 7.701e-01 y₂ = a * (a - 0.018458) 11 1.811e-06 4.847e-01 y₂ = a / ((((a * -0.14367) + 1.1544) / a) * 0.98559) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.548e-04 1.201e+01 y₃ = a * a 5 3.319e-05 7.701e-01 y₃ = (a - 0.018458) * a 9 5.407e-06 4.536e-01 y₃ = ((a * -1.3528) - -0.076756) * (a * -0.78062) 11 4.903e-06 4.899e-02 y₃ = (((a - 0.054987) * 1.4206) * (a * -0.56058)) * -1.32... 12 19 4.900e-06 5.821e-05 y₃ = (a - (((a * -0.09223) / (0.36373 / (a / (a * 0.91751... )))) * 0.18749)) * (a - 0.054831) 21 2.735e-06 2.915e-01 y₃ = (a - (((a * -0.1936) / (0.59069 / (a / ((a + 1.0328)... * 1.028)))) * 0.28023)) * (a - 0.045914) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_sZRrMu/20260226_222633_lxka9V/hall_of_fame_output1.csv - /tmp/jl_sZRrMu/20260226_222633_lxka9V/hall_of_fame_output2.csv - /tmp/jl_sZRrMu/20260226_222633_lxka9V/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 7.394e-02 5.149e+00 y₁ = (-0.11538 - b1) * (b2 / -0.77156) 11 7.359e-02 1.181e-03 y₁ = (((-0.00051014 * b2) + (-0.11538 - b1)) * b2) / -0.7... 7156 17 7.274e-02 1.946e-03 y₁ = ((((-0.00051014 * b2) * ((b2 - -1.2968) - b1)) + (-0... .11538 - b1)) * b2) / -0.77156 23 6.636e-02 1.528e-02 y₁ = ((((-0.00051014 * b2) * (((1.2068 - b1) * b2) * ((b2... - -1.2968) - b1))) + (-0.11538 - b1)) * b2) / -0.77156 25 2.593e-03 1.621e+00 y₁ = ((((b1 / 0.29934) + b1) + (b1 * 1.7007)) + (((b1 * 0... .080691) * b2) + (b1 + 0.2943))) * ((b2 + -0.028919) * 0.... 14146) 29 5.171e-14 6.160e+00 y₁ = ((((b2 * -3.6873e-09) * ((((1.4265 - b1) - ((b1 * b2... ) + -0.31916)) * b2) * ((b2 + -1.407) - b1))) + (-6.9537e... -09 - b1)) * b2) / -1 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 2.222e+00 3.604e+01 y₂ = -0.81494 5 1.020e+00 1.945e-01 y₂ = -0.63145 * (b2 / -0.56957) 7 3.171e-21 1.802e+01 y₂ = ((b2 / -1) - b1) * -1 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_fJMZYz/20260226_222653_7t8Ia4/hall_of_fame_output1.csv - /tmp/jl_fJMZYz/20260226_222653_7t8Ia4/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 1.847e-01 1.201e+01 y₁ = 0.57802 * x₁ 5 1.587e-33 1.802e+01 y₁ = (x₁ / 0.43023) * 0.43023 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.771e+00 1.201e+01 y₂ = 1.948 - 0.99042 5 1.196e+00 1.963e-01 y₂ = (x₃ - 0.76204) / -3.2326 7 1.033e+00 7.347e-02 y₂ = ((x₃ - x₃) - 0.76204) / -3.2326 11 4.876e-01 1.876e-01 y₂ = ((x₃ / x₃) + 0.76204) / (-3.2326 / (x₁ - x₂)) 13 4.825e-01 5.258e-03 y₂ = ((x₃ / x₃) + (0.76204 + -0.12343)) / (-3.2326 / (x₁ ... - x₂)) 15 2.473e-01 3.341e-01 y₂ = ((x₃ / x₃) + (0.76204 + -0.12343)) / (-3.2326 / ((x₁... - x₂) - x₁)) 17 2.149e-01 7.022e-02 y₂ = ((x₃ / x₃) + (0.76204 + (-0.12343 / x₂))) / (-3.2326... / ((x₁ - x₂) - x₁)) 19 1.293e-02 1.405e+00 y₂ = ((x₃ / x₃) + (0.76204 + (-0.12343 / x₂))) / (-3.2326... / (((x₁ - x₂) - x₁) - x₂)) 21 8.696e-03 1.983e-01 y₂ = (((x₃ / x₃) + -0.22179) + (0.76204 + (-0.12343 / x₂)... )) / (-3.2326 / (((x₁ - x₂) - x₁) - x₂)) 23 5.067e-22 1.802e+01 y₂ = (((x₃ / x₃) + 1.2357) + (-0.19786 / (x₂ / (x₂ * -0.6... 343)))) / (-4.7225 / (((x₁ - x₂) - x₁) - x₂)) 25 1.177e-24 3.033e+00 y₂ = (((x₃ / x₃) + -0.38744) + ((-0.26704 / (x₂ / (x₂ * -... 0.92864))) + 0.49163)) / (-2.7043 / (((x₁ - x₂) - x₁) - x... ₂)) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.959e+00 1.201e+01 y₃ = x₁ / x₁ 5 1.132e+00 2.742e-01 y₃ = (x₁ - x₁) / x₁ 7 1.963e-03 3.179e+00 y₃ = ((x₁ - x₁) + x₃) + 0.044302 9 2.775e-04 9.782e-01 y₃ = (((0.50011 * -0.18084) * x₁) * -0.18084) + x₃ 13 0.000e+00 9.011e+00 y₃ = (((x₁ - x₁) * (x₁ - 0.25704)) + x₃) + (x₁ - x₁) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_TtrD6V/test_run/hall_of_fame_output1.csv - /tmp/jl_TtrD6V/test_run/hall_of_fame_output2.csv - /tmp/jl_TtrD6V/test_run/hall_of_fame_output3.csv cols = SubString{String}["3", "0.18472878441858975", "\"0.5780192444050787 * x1\""] cols = SubString{String}["5", "1.5869662741750824e-33", "\"(x1 / 0.4302255773841493) * 0.4302255773841493\""] cols = SubString{String}["3", "1.7711618605642017", "\"1.9479671197366595 - 0.9904243615709512\""] cols = SubString{String}["5", "1.1960743768468622", "\"(x3 - 0.7620418076700266) / -3.2326323993599617\""] cols = SubString{String}["7", "1.0326286208828452", "\"((x3 - x3) - 0.7620418076700266) / -3.2326323993599617\""] cols = SubString{String}["11", "0.4875759323427811", "\"((x3 / x3) + 0.7620418076700266) / (-3.2326323993599617 / (x1 - x2))\""] cols = SubString{String}["13", "0.4824759230805236", "\"((x3 / x3) + (0.7620418076700266 + -0.12343142618045128)) / (-3.2326323993599617 / (x1 - x2))\""] cols = SubString{String}["15", "0.2473229293052079", "\"((x3 / x3) + (0.7620418076700266 + -0.12343142618045128)) / (-3.2326323993599617 / ((x1 - x2) - x1))\""] cols = SubString{String}["17", "0.21491621864476676", "\"((x3 / x3) + (0.7620418076700266 + (-0.12343142618045128 / x2))) / (-3.2326323993599617 / ((x1 - x2) - x1))\""] cols = SubString{String}["19", "0.012928686452165501", "\"((x3 / x3) + (0.7620418076700266 + (-0.12343142618045128 / x2))) / (-3.2326323993599617 / (((x1 - x2) - x1) - x2))\""] cols = SubString{String}["21", "0.008695600086240186", "\"(((x3 / x3) + -0.2217877166311888) + (0.7620418076700266 + (-0.12343142618045128 / x2))) / (-3.2326323993599617 / (((x1 - x2) - x1) - x2))\""] cols = SubString{String}["23", "5.06728887279144e-22", "\"(((x3 / x3) + 1.2357496921142799) + (-0.19785990632273506 / (x2 / (x2 * -0.6343046368054909)))) / (-4.722506296159975 / (((x1 - x2) - x1) - x2))\""] cols = SubString{String}["25", "1.176564287655088e-24", "\"(((x3 / x3) + -0.38744422000656975) + ((-0.2670378735838494 / (x2 / (x2 * -0.9286365080938314))) + 0.49162651783382033)) / (-2.7043268325648255 / (((x1 - x2) - x1) - x2))\""] cols = SubString{String}["3", "1.9593788684169775", "\"x1 / x1\""] cols = SubString{String}["5", "1.1323387105663345", "\"(x1 - x1) / x1\""] cols = SubString{String}["7", "0.001962703383223877", "\"((x1 - x1) + x3) + 0.0443024083230684\""] cols = SubString{String}["9", "0.000277473767822822", "\"(((0.5001064824299903 * -0.18083684461457786) * x1) * -0.18083684461457786) + x3\""] cols = SubString{String}["13", "0.0", "\"(((x1 - x1) * (x1 - 0.25703913478431883)) + 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_j6axb9/20260226_222732_ocb1Ge/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_ZXO4L6/20260226_222734_OCigPW/hall_of_fame_output1.csv - /tmp/jl_ZXO4L6/20260226_222734_OCigPW/hall_of_fame_output2.csv - /tmp/jl_ZXO4L6/20260226_222734_OCigPW/hall_of_fame_output3.csv ┌ Warning: Equations not found. Returning 0s for prediction. └ @ SymbolicRegression.MLJInterfaceModule ~/.julia/packages/SymbolicRegression/kbyoS/src/MLJInterface.jl:550 ┌ Warning: Evaluation failed either due to NaNs detected or due to unfinished search. Using 0s for prediction. └ @ SymbolicRegression.MLJInterfaceModule ~/.julia/packages/SymbolicRegression/kbyoS/src/MLJInterface.jl:416 Error reaching LLaMA server at port 11440 err = HTTP.Exceptions.ConnectError("http://127.0.0.1:11440/health", CapturedException(Base.IOError("connect: connection refused (ECONNREFUSED)", -111), Any[(getconnection(::Type{Sockets.TCPSocket}, host::SubString{String}, port::SubString{String}; keepalive::Bool, readtimeout::Int64, kw::Base.Pairs{Symbol, Union{Nothing, Integer}, Nothing, @NamedTuple{require_ssl_verification::Bool, iofunction::Nothing, decompress::Nothing, verbose::Int64}}) at Connections.jl:531, 1), (getconnection at Connections.jl:508 [inlined], 1), (#13 at Connections.jl:467 [inlined], 1), (macro expansion at try_with_timeout.jl:92 [inlined], 1), ((::ConcurrentUtilities.var"#try_with_timeout##2#try_with_timeout##3"{Any, Channel{Any}, HTTP.Connections.var"#13#14"{Sockets.TCPSocket, Bool, Bool, Base.Pairs{Symbol, Union{Nothing, Int64}, Nothing, @NamedTuple{readtimeout::Int64, iofunction::Nothing, decompress::Nothing, verbose::Int64}}, SubString{String}, SubString{String}}, Timer})() at ConcurrentUtilities.jl:10, 1)])) [ Info: Training machine(LaSRRegressor(use_llm = true, …), …). ┌ Warning: api_kwargs.max_tokens is not set in LaSROptions. Defaulting to 1000. └ @ LibraryAugmentedSymbolicRegression.CoreModule.LLMOptionsModule ~/.julia/packages/LibraryAugmentedSymbolicRegression/P7fSL/src/LLMOptions.jl:110 ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/kbyoS/src/Configure.jl:59 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 2.652e+00 1.594e+01 y = 0.31326 2 2.454e+00 7.778e-02 y = cos(x₁) 3 1.073e+00 8.273e-01 y = x₂ * x₂ 4 8.089e-01 2.824e-01 y = 0.11336 ^ cos(x₂) 5 5.937e-01 3.092e-01 y = (x₂ * x₂) + -0.69221 7 1.010e-01 8.856e-01 y = (x₂ * x₂) - (x₁ * x₁) 9 1.703e-02 8.901e-01 y = (x₂ * x₂) + ((x₁ * x₁) / -1.282) 10 7.877e-15 1.594e+01 y = (x₂ * x₂) - (2 - (cos(x₁) * 2)) 12 4.476e-15 2.825e-01 y = ((x₂ * x₂) - (0.78881 - (cos(x₁) * 2))) + -1.2112 13 0.000e+00 1.594e+01 y = ((x₂ * x₂) - ((cos(x₁) * -1) - cos(x₁))) + -2 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_nSHtYm/20260226_222832_OoHbEW/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 | 10150 10150 15m36.7s test/test_backwards_compat.jl | 64 64 7m07.0s Generic interface tests | 2 2 4m49.4s Variable names - single outputs | 4 4 1m08.1s Variable names - multiple outputs | 7 7 18.0s Variable names - named outputs | 3 3 27.2s Good predictions | 37 37 9.0s Helpful errors | 5 5 6.7s Unfinished search | 6 6 8.5s test/runtests.jl | 10086 10086 8m29.6s Test handshake | 0 22.5s Test tutorial | 1 1 2m08.5s Test expression parser | 6060 6060 17.9s Test expression parser round trips | 4000 4000 3.0s Test llm output parser | 6 6 1.4s Test llm prompt construction | 8 8 2.5s Test whether the precompilation script works. | 0 1m24.2s Aqua tests | 11 11 4m09.6s Unbound type parameters | 1 1 0.2s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.5s Stale dependencies | 1 1 44.5s Compat bounds | 4 4 0.7s Piracy | 1 1 1.2s Persistent tasks | 1 1 2m12.9s Testing LibraryAugmentedSymbolicRegression tests passed Testing completed after 998.15s PkgEval succeeded after 1766.13s