Package evaluation to test LibraryAugmentedSymbolicRegression on Julia 1.14.0-DEV.1893 (b4aba01002*) started at 2026-03-15T22:11:20.196 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 13.93s ################################################################################ # 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 v4.5.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.23.0 [d1d4a3ce] + BitFlags v0.1.9 [d360d2e6] + ChainRulesCore v1.26.0 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [f0e56b4a] + ConcurrentUtilities v2.5.1 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.3 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 ⌅ [a0c0ee7d] + DifferentiationInterface v0.6.54 [8d63f2c5] + DispatchDoctor v0.4.28 [ffbed154] + DocStringExtensions v0.9.5 ⌅ [7317a516] + DynamicDiff v0.2.1 ⌅ [a40a106e] + DynamicExpressions v1.9.4 [06fc5a27] + DynamicQuantities v1.12.0 [460bff9d] + ExceptionUnwrapping v0.1.11 [1a297f60] + FillArrays v1.16.0 [6a86dc24] + FiniteDiff v2.29.0 ⌅ [f6369f11] + ForwardDiff v0.10.39 [cd3eb016] + HTTP v1.11.0 [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 v2.7.1 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.10 ⌅ [c1b9e933] + StreamCallbacks v0.5.2 [856f2bd8] + StructTypes v1.11.0 ⌃ [8254be44] + SymbolicRegression v1.8.0 [1c621080] + TestItems v1.0.0 [3bb67fe8] + TranscodingStreams v0.11.3 [410a4b4d] + Tricks v0.1.13 [5c2747f8] + URIs v1.6.1 [3a884ed6] + UnPack v1.0.2 [c8ffd9c3] + MbedTLS_jll v2.28.1010+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.18.0+1 [e37daf67] + LibGit2_jll v1.9.2+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.30+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.5+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.68.0+1 [3f19e933] + p7zip_jll v17.8.0+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 6.44s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 3975.6 ms ✓ MLJModelInterface 1820.3 ms ✓ LossFunctions → LossFunctionsCategoricalArraysExt 22341.2 ms ✓ DynamicExpressions 7901.4 ms ✓ StreamCallbacks 7428.3 ms ✓ MLFlowClient 4753.2 ms ✓ OpenML 6754.3 ms ✓ DynamicQuantities → DynamicQuantitiesScientificTypesExt 8488.4 ms ✓ Optim 42502.0 ms ✓ StatisticalMeasures 3808.4 ms ✓ FeatureSelection 11315.3 ms ✓ MLJTransforms 17830.9 ms ✓ MLJModels 14049.9 ms ✓ MLJEnsembles 20254.5 ms ✓ MLJBase 8255.1 ms ✓ DynamicExpressions → DynamicExpressionsSymbolicUtilsExt 3723.3 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 37280.8 ms ✓ PromptingTools 4747.2 ms ✓ DynamicExpressions → DynamicExpressionsOptimExt 12108.5 ms ✓ StatisticalMeasures → ScientificTypesExt 12161.0 ms ✓ StatisticalMeasures → LossFunctionsExt 12308.9 ms ✓ MLJBase → DefaultMeasuresExt 15712.5 ms ✓ MLJBalancing 20876.5 ms ✓ MLJTestInterface 17223.7 ms ✓ MLJIteration 15920.0 ms ✓ MLJTuning 14321.3 ms ✓ MLJFlow ┌ 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 15177.5 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 14080.7 ms ✓ PromptingTools → MarkdownPromptingToolsExt 139800.4 ms ✓ SymbolicRegression 23968.0 ms ✓ MLJ 26898.8 ms ✓ SymbolicRegression → SymbolicRegressionSymbolicUtilsExt 20829.2 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 117786.6 ms ✓ LibraryAugmentedSymbolicRegression 33 dependencies successfully precompiled in 709 seconds. 259 already precompiled. 26 dependencies precompiled but different versions are currently loaded (ArgTools, Base64, Dates, Downloads, JuliaSyntaxHighlighting, LibCURL, LibCURL_jll, LibGit2, LibGit2_jll, LibSSH2_jll, Logging, Markdown, MozillaCACerts_jll, NetworkOptions, OpenSSL_jll, PCRE2_jll, Pkg, Printf, StyledStrings, TOML, Tar, UUIDs, Zlib_jll, Zstd_jll, nghttp2_jll and p7zip_jll). Restart julia to access the new versions. Otherwise, 173 dependents of these packages may trigger further precompilation to work with the unexpected versions. 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 └ ┌ LibraryAugmentedSymbolicRegression │ WARNING: Constructor for type "LaSROptions" was extended in `LLMOptionsModule` without explicit qualification or import. │ NOTE: Assumed "LaSROptions" refers to `LLMOptionsStructModule.LaSROptions`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function LaSROptions end`. │ Hint: To silence the warning, qualify `LaSROptions` as `LLMOptionsStructModule.LaSROptions` in the method signature or explicitly `import LLMOptionsStructModule: LaSROptions`. │ WARNING: Constructor for type "LaSROptions" was extended in `LLMOptionsModule` without explicit qualification or import. │ NOTE: Assumed "LaSROptions" refers to `LLMOptionsStructModule.LaSROptions`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function LaSROptions end`. │ Hint: To silence the warning, qualify `LaSROptions` as `LLMOptionsStructModule.LaSROptions` in the method signature or explicitly `import LLMOptionsStructModule: LaSROptions`. │ ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! │ └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 └ ┌ PromptingTools → RAGToolsExperimentalExt │ ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! │ └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 └ ┌ PromptingTools │ ┌ 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 732.36s ################################################################################ # Testing # Testing LibraryAugmentedSymbolicRegression Status `/tmp/jl_HnsbFi/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 v0.22.0 [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_HnsbFi/Manifest.toml` [47edcb42] ADTypes v1.21.0 [da404889] ARFFFiles v1.6.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.5.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.14 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.23.0 [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 v1.12.0 [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 v1.11.0 [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 v1.7.1 ⌅ [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 v0.5.14 [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 v1.6.0 [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 v1.9.18 [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 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[4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.18.0+1 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.30+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.5+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+1 [3f19e933] p7zip_jll v17.8.0+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"##149".var"#2#3", batching::Nothing, batch_size::Nothing, dimensionless_constants_only::Bool, complexity_mapping::Nothing, use_frequency::Bool, use_frequency_in_tournament::Bool, should_simplify::Nothing, perturbation_factor::Nothing, probability_negate_constant::Nothing, skip_mutation_failures::Bool, optimizer_algorithm::Optim.BFGS{LineSearches.InitialStatic{Float64}, LineSearches.BackTracking{Float64, Int64}, Nothing, Nothing, Optim.Flat}, optimizer_nrestarts::Int64, optimizer_probability::Float64, optimizer_iterations::Nothing, optimizer_f_calls_limit::Nothing, optimizer_options::Nothing, should_optimize_constants::Bool, migration::Bool, hof_migration::Bool, fraction_replaced::Nothing, fraction_replaced_hof::Nothing, topn::Nothing, timeout_in_seconds::Nothing, max_evals::Nothing, input_stream::IOStream, turbo::Bool, bumper::Bool, autodiff_backend::Nothing, deterministic::Bool, seed::Nothing, verbosity::Nothing, print_precision::Int64, progress::Nothing, output_directory::Nothing, save_to_file::Bool, bin_constraints::Nothing, una_constraints::Nothing, terminal_width::Nothing, use_recorder::Bool, recorder_file::String, define_helper_functions::Bool, expression_type::Nothing, expression_options::Nothing, node_type::Nothing, output_file::Nothing, fast_cycle::Bool, npopulations::Int64, npop::Int64}}) at LLMOptions.jl:192 └ @ Core ~/.julia/packages/LibraryAugmentedSymbolicRegression/P7fSL/src/LLMOptions.jl:192 ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/kbyoS/src/Configure.jl:59 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 3.611e-02 3.604e+01 y = a 3 1.548e-04 2.726e+00 y = a * a 5 3.651e-05 7.224e-01 y = (a * a) + -0.011732 7 3.601e-05 6.935e-03 y = a * ((-0.0057799 / 0.36935) + a) 9 3.319e-05 4.070e-02 y = a * (a + ((b * -0.018551) / b)) 11 3.319e-05 8.327e-16 y = (a * a) + ((b * -0.018551) * (a / b)) 13 2.630e-05 1.164e-01 y = ((((0.12464 - a) * -3.4019) - -1.6609) * -0.0036146) +... (a * a) 17 2.627e-05 2.924e-04 y = (a * a) + ((b * -0.01305) * ((((a + 0.30316) / 1.158) ... - -0.15855) / b)) 19 2.505e-05 2.376e-02 y = (a * a) + (((b * (((-0.0078915 / a) + 0.46638) / 0.313... 89)) * -0.012055) * (0.68846 / b)) 21 7.603e-06 5.961e-01 y = ((((((0.001715 - a) * 2.6342) * ((a * a) - 1.4369)) / ... 0.36419) - 0.098451) * -0.0033846) + (a * a) 23 3.396e-07 1.554e+00 y = (((((0.24319 - a) * 1.7016) * ((((a * a) - 0.8113) / 0... .49058) / 0.4361)) - -1.2388) * -0.0069806) + (a * a) 25 2.568e-07 1.398e-01 y = ((((((0.34898 - a) * 1.8947) * (-0.56679 - ((0.27066 -... (a * a)) / 0.73253))) / 0.50808) - -1.0559) * -0.011968) ... + (a * a) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_toazdf/20260315_223007_ugDiGe/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) 9 1.717e-05 1.648e-01 y₁ = (a + (-0.017856 / (a + 0.22337))) * a 19 1.159e-05 3.928e-02 y₁ = (((-0.06833 / (b + 1.1132)) * ((1.6013 - (a + 0.2453... 1)) * 0.88477)) + (a * 1.0067)) * a 27 2.897e-06 1.733e-01 y₁ = ((a * ((((a - 0.096456) + (a - -0.064085)) + 1.1431)... + ((a + -0.031024) + ((a - (-0.028069 / a)) + -1.3334)))... ) * 0.26456) + -0.0044381 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ 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) / 1.0211 23 9.660e-06 1.042e-01 y₂ = ((((1.1016 - (a * (a + ((a / 0.57667) * -0.31421))))... * (a * a)) * 0.43818) + a) * (a / 1.3086) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 2.202e-01 3.604e+01 y₃ = -0.019559 3 1.548e-04 3.630e+00 y₃ = a * a 5 6.309e-05 4.489e-01 y₃ = (a * 0.97934) * a 9 6.309e-05 2.776e-16 y₃ = b * (((a * a) / b) * 0.97934) 13 4.900e-06 6.388e-01 y₃ = (((a * -0.43339) - a) - (a + -0.13343)) * (a * -0.43... 224) 15 1.349e-06 6.448e-01 y₃ = b * (((a * a) / b) * ((0.57174 - (a * -0.13428)) + 0... .29723)) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_LPVn4m/20260315_223056_pw6n4v/hall_of_fame_output1.csv - /tmp/jl_LPVn4m/20260315_223056_pw6n4v/hall_of_fame_output2.csv - /tmp/jl_LPVn4m/20260315_223056_pw6n4v/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 8.266e-01 1.201e+01 y₁ = b2 * -0.63147 5 7.982e-01 1.751e-02 y₁ = (b2 - -0.35096) * -0.63147 7 7.971e-01 6.671e-04 y₁ = ((b2 - -0.35096) + -0.12663) * -0.63147 9 7.960e-01 6.970e-04 y₁ = ((b2 - -0.35096) + (-0.12663 / 1.7372)) * -0.63147 11 7.754e-01 1.313e-02 y₁ = ((b2 - -0.35096) + ((-0.12663 / 1.7372) / b2)) * -0.... 63147 13 7.748e-01 3.696e-04 y₁ = ((b2 - -0.35096) + ((-0.12663 / (1.7372 - -0.5577)) ... / b2)) * -0.63147 15 7.736e-01 8.068e-04 y₁ = ((b2 - -0.35096) + ((-0.12663 / (1.7372 - (-0.5577 *... b2))) / b2)) * -0.63147 17 1.383e-04 4.315e+00 y₁ = (((((0.006961 * b2) * 0.33795) - b2) - b2) * 0.17427... ) + (b2 * (0.33795 + b1)) 21 1.384e-21 9.000e+00 y₁ = (((((b2 * ((b1 / -0.32627) - -0.20261)) * -1.7032e-1... 1) - b2) - b2) * 0.24214) + (b2 * (b1 + 0.48428)) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 9.198e-01 3.604e+01 y₂ = b2 3 0.000e+00 1.802e+01 y₂ = b1 + b2 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_MGCwCp/20260315_223114_ZzODI3/hall_of_fame_output1.csv - /tmp/jl_MGCwCp/20260315_223114_ZzODI3/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 1 1.033e+00 3.604e+01 y₁ = -0.064081 3 4.125e-30 1.802e+01 y₁ = x₁ * 1 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 2.049e+00 1.201e+01 y₂ = x₂ * x₁ 5 2.793e-34 1.802e+01 y₂ = (x₂ / x₁) * x₁ 7 0.000e+00 1.802e+01 y₂ = x₂ - ((x₁ - -5.3934e-18) - x₁) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.017e+00 1.201e+01 y₃ = x₂ + x₃ 5 2.373e-03 3.030e+00 y₃ = (0.0045817 / x₂) + x₃ 7 2.099e-05 2.364e+00 y₃ = (x₂ * (0.0045817 / x₂)) + x₃ 9 0.000e+00 1.802e+01 y₃ = ((-480.53 / (x₂ / 0.0045817)) * 0) + x₃ ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_jsrHUu/test_run/hall_of_fame_output1.csv - /tmp/jl_jsrHUu/test_run/hall_of_fame_output2.csv - /tmp/jl_jsrHUu/test_run/hall_of_fame_output3.csv cols = SubString{String}["1", "1.0334360099715096", "\"-0.06408133909334664\""] cols = SubString{String}["3", "4.124735874798085e-30", "\"x1 * 1.000000000000002\""] cols = SubString{String}["3", "2.049460126401489", "\"x2 * x1\""] cols = SubString{String}["5", "2.7928993459153026e-34", "\"(x2 / x1) * x1\""] cols = SubString{String}["7", "0.0", "\"x2 - ((x1 - -5.393429352082554e-18) - x1)\""] cols = SubString{String}["3", "1.0171579376728634", "\"x2 + x3\""] cols = SubString{String}["5", "0.00237273763321456", "\"(0.004581708691215848 / x2) + x3\""] cols = SubString{String}["7", "2.099205453116299e-5", "\"(x2 * (0.004581708691215848 / x2)) + x3\""] cols = SubString{String}["9", "0.0", "\"((-480.5282744281638 / (x2 / 0.004581708691215848)) * 0.0) + x3\""] [ 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_K5lmZ4/20260315_223157_syCboT/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_jGA02A/20260315_223159_E04YLv/hall_of_fame_output1.csv - /tmp/jl_jGA02A/20260315_223159_E04YLv/hall_of_fame_output2.csv - /tmp/jl_jGA02A/20260315_223159_E04YLv/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), (#13 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 3.257e+00 1.594e+01 y = 0.28563 2 2.867e+00 1.275e-01 y = cos(x₁) 3 9.677e-01 1.086e+00 y = x₂ * x₂ 5 4.935e-01 3.367e-01 y = (x₂ * x₂) - 0.68864 7 3.227e-01 2.124e-01 y = (x₂ * x₂) - cos(cos(x₁)) 8 1.234e-01 9.615e-01 y = (cos(x₁) + -1.3443) + (x₂ * x₂) 9 8.457e-03 2.680e+00 y = (x₂ * x₂) + (x₁ * (x₁ * -0.80782)) 10 4.657e-15 1.594e+01 y = ((cos(x₁) + -1) * 2) + (x₂ * x₂) 11 0.000e+00 1.594e+01 y = ((x₂ * x₂) + (cos(x₁) + cos(x₁))) + -2 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_cRl0hJ/20260315_223300_7cv7Lv/hall_of_fame.csv Testing LaSR expression parser Passed. Testing LaSR expression parser with render_expr Passed. Testing LaSR llm output parser Passed. Testing LaSR prompt construction Passed. ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 Test Summary: | Pass Total Time Package | 10131 10131 15m26.5s test/test_backwards_compat.jl | 55 55 6m59.2s Generic interface tests | 2 2 4m35.0s Variable names - single outputs | 4 4 1m11.9s Variable names - multiple outputs | 7 7 16.4s Variable names - named outputs | 3 3 29.2s Good predictions | 28 28 9.4s Helpful errors | 5 5 7.4s Unfinished search | 6 6 10.0s test/runtests.jl | 10076 10076 8m27.3s Test handshake | 0 22.9s Test tutorial | 1 1 2m16.3s Test expression parser | 6050 6050 17.9s Test expression parser round trips | 4000 4000 3.1s Test llm output parser | 6 6 1.4s Test llm prompt construction | 8 8 2.6s Test whether the precompilation script works. | 0 1m24.2s Aqua tests | 11 11 3m58.9s 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 42.4s Compat bounds | 4 4 0.8s Piracy | 1 1 1.4s Persistent tasks | 1 1 2m06.8s Testing LibraryAugmentedSymbolicRegression tests passed Testing completed after 984.74s PkgEval succeeded after 1767.37s