Package evaluation to test LibraryAugmentedSymbolicRegression on Julia 1.14.0-DEV.1299 (6d6224db99*) started at 2025-11-27T19:25:17.405 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.51s ################################################################################ # 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 v1.19.0 [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 v2.5.0 [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 v0.4.26 [ffbed154] + DocStringExtensions v0.9.5 ⌅ [7317a516] + DynamicDiff v0.2.1 ⌅ [a40a106e] + DynamicExpressions v1.9.4 [06fc5a27] + DynamicQuantities v1.10.0 [460bff9d] + ExceptionUnwrapping v0.1.11 [1a297f60] + FillArrays v1.15.0 [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 v1.1.1 ⌅ [e80e1ace] + MLJModelInterface v1.11.1 [1914dd2f] + MacroTools v0.5.16 [739be429] + MbedTLS v1.1.9 [e1d29d7a] + Missings v1.2.0 [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 ⌅ [e9f21f70] + OpenAI v0.9.1 [4d8831e6] + OpenSSL v1.6.0 ⌅ [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 v1.5.0 [92933f4c] + ProgressMeter v1.11.0 ⌅ [670122d1] + PromptingTools v0.72.3 [43287f4e] + PtrArrays v1.3.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [30f210dd] + ScientificTypesBase v3.0.0 [efcf1570] + Setfield v1.1.2 [777ac1f9] + SimpleBufferStream v1.2.0 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.6.1 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.8 ⌅ [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 v1.12.0 [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 v1.13.0 [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 v8.17.0+0 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.11.4 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+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 6.27s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Error: Failed to use TestEnv.jl; test dependencies will not be precompiled │ exception = │ UndefVarError: `project_rel_path` not defined in `TestEnv` │ Suggestion: this global was defined as `Pkg.Operations.project_rel_path` but not assigned a value. │ Stacktrace: │ [1] get_test_dir(ctx::Pkg.Types.Context, pkgspec::PackageSpec) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:75 │ [2] test_dir_has_project_file │ @ ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:52 [inlined] │ [3] maybe_gen_project_override! │ @ ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:83 [inlined] │ [4] activate(pkg::String; allow_reresolve::Bool) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/activate_set.jl:12 │ [5] activate(pkg::String) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/activate_set.jl:9 │ [6] top-level scope │ @ /PkgEval.jl/scripts/precompile.jl:24 │ [7] include(mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [8] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:344 │ [9] _start() │ @ Base ./client.jl:577 └ @ Main /PkgEval.jl/scripts/precompile.jl:26 Precompiling package dependencies... Precompiling packages... 5183.0 ms ✓ StatsBase 3153.1 ms ✓ MLJModelInterface 28764.4 ms ✓ DynamicExpressions 7704.3 ms ✓ StreamCallbacks 4255.5 ms ✓ OpenAI 2318.7 ms ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 4106.9 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 34772.1 ms ✓ PromptingTools 3952.9 ms ✓ NLSolversBase ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 14145.4 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 13426.3 ms ✓ PromptingTools → MarkdownPromptingToolsExt 6264.7 ms ✓ LineSearches 11893.5 ms ✓ Optim 6116.1 ms ✓ DynamicExpressions → DynamicExpressionsOptimExt 144077.3 ms ✓ SymbolicRegression 20657.8 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 119652.4 ms ✓ LibraryAugmentedSymbolicRegression 17 dependencies successfully precompiled in 433 seconds. 124 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 └ ┌ 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 → MarkdownPromptingToolsExt │ ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! │ └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 └ ┌ PromptingTools │ ┌ Warning: OPENAI_API_KEY variable not set! OpenAI models will not be available - set API key directly via `PromptingTools.OPENAI_API_KEY=`! │ └ @ PromptingTools ~/.julia/packages/PromptingTools/M1mWQ/src/user_preferences.jl:189 │ ┌ Warning: RAGTools will be moved into a dedicated package from PromptingTools v0.75 onward. │ │ Please adjust your code accordingly, see https://github.com/JuliaGenAI/RAGTools.jl │ └ @ PromptingTools.Experimental.RAGTools ~/.julia/packages/PromptingTools/M1mWQ/src/Experimental/RAGTools/RAGTools.jl:59 └ Precompilation completed after 435.9s ################################################################################ # Testing # Testing LibraryAugmentedSymbolicRegression Status `/tmp/jl_5yOgh7/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 v1.10.0 ⌅ [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 v1.1.1 [1c621080] TestItems v1.0.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_5yOgh7/Manifest.toml` [47edcb42] ADTypes v1.19.0 [da404889] ARFFFiles v1.6.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [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 v0.4.6 [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 v2.5.0 [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 v0.4.26 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.122 [ffbed154] DocStringExtensions v0.9.5 ⌅ [7317a516] DynamicDiff v0.2.1 ⌅ [a40a106e] DynamicExpressions v1.9.4 [7c1d4256] DynamicPolynomials v0.6.4 [06fc5a27] DynamicQuantities v1.10.0 [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 v1.15.0 [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 v0.9.39 [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 v1.1.1 [c2834f40] MLCore v1.0.0 ⌅ [64a0f543] MLFlowClient v0.5.1 [add582a8] MLJ v0.22.0 [45f359ea] MLJBalancing v0.1.5 [a7f614a8] MLJBase v1.10.0 [50ed68f4] MLJEnsembles v0.4.4 [7b7b8358] MLJFlow v0.5.0 [614be32b] MLJIteration v0.6.4 ⌅ [e80e1ace] MLJModelInterface v1.11.1 [d491faf4] MLJModels v0.18.3 [72560011] MLJTestInterface v0.2.9 [23777cdb] MLJTransforms v0.1.4 [03970b2e] MLJTuning v0.8.8 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.16 [739be429] MbedTLS v1.1.9 [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 v0.3.2 [4d8831e6] OpenSSL v1.6.0 ⌅ [429524aa] Optim v1.11.0 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.36 [65ce6f38] PackageExtensionCompat v1.0.2 [d96e819e] 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StaticArrays v1.9.15 [1e83bf80] StaticArraysCore v1.4.4 [a19d573c] StatisticalMeasures v0.3.3 [c062fc1d] StatisticalMeasuresBase v0.1.3 [64bff920] StatisticalTraits v3.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.8 [4c63d2b9] StatsFuns v1.5.2 ⌅ [c1b9e933] StreamCallbacks v0.5.2 [892a3eda] StringManipulation v0.4.2 [856f2bd8] StructTypes v1.11.0 [fd094767] Suppressor v0.2.8 ⌃ [2efcf032] SymbolicIndexingInterface v0.3.44 ⌃ [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 v1.1.1 [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 v8.17.0+0 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.11.4 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+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"##143".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 7.159e-02 1.201e+01 y = 0.082676 + a 5 1.098e-02 9.373e-01 y = -0.010492 + (a * 0.76848) 7 1.548e-04 2.131e+00 y = (a * b) * (a / b) 9 1.142e-04 1.524e-01 y = b * (((a - 0.0033993) * a) / b) 11 5.695e-05 3.477e-01 y = b * ((a - 0.0030195) * ((a / b) + -0.024237)) 13 4.891e-05 7.608e-02 y = (b * (a - (0.0030195 / a))) * ((a / b) + -0.024237) 17 4.818e-05 3.783e-03 y = (b * ((0.99569 * a) - (0.0030195 * (1.1258 + (1.1514 +... 0.99569))))) * (a / b) 19 7.387e-06 9.376e-01 y = b * (((a - ((((2.162 / (a + 0.87916)) - -0.21915) - a)... * 0.022673)) * a) / b) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_3r9OrG/20251127_194427_AdTf3v/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 2.227e-01 3.604e+01 y₁ = b 3 1.548e-04 3.636e+00 y₁ = a * a 5 1.015e-04 2.112e-01 y₁ = a * (a * 0.96598) 9 6.309e-05 1.189e-01 y₁ = a / (3.4382 / ((a + a) * 1.6836)) 15 5.227e-06 4.151e-01 y₁ = ((a * -0.42919) * a) * ((-1.4397 - (b / b)) + (0.127... 2 / a)) 25 1.349e-06 1.354e-01 y₁ = (((a - ((a - (a * ((a - 0.83047) * 0.57821))) * 0.19... 142)) / (a - ((a / 1.4183) * 0.24867))) * a) * a ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 3.335e-01 3.604e+01 y₂ = -0.15083 3 1.548e-04 3.837e+00 y₂ = a * a 5 3.319e-05 7.701e-01 y₂ = a * (a + -0.018458) 13 1.269e-05 1.201e-01 y₂ = a * (a + (0.02297 / (-0.54568 - ((a + 0.16691) * a))... )) 17 7.426e-07 7.097e-01 y₂ = ((a - 0.0067474) * ((((b - (b + -0.058377)) * a) + 0... .42492) * 2.0881)) * a ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 7.914e-03 1.201e+01 y₃ = a + -0.13052 5 6.244e-03 1.185e-01 y₃ = a + (-0.13052 / 0.7025) 7 6.087e-03 1.274e-02 y₃ = a + ((b / b) * -0.17326) 9 3.740e-03 2.435e-01 y₃ = ((a / 1.993) * a) * (a / 0.4299) 11 1.299e-04 1.680e+00 y₃ = ((a / 1.2573) * a) * (1.0663 - (a * -0.16338)) 13 1.351e-06 2.283e+00 y₃ = ((a / 1.2582) * a) * ((1.0644 - (a * -0.16459)) * 1.... 0271) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_FXwVp1/20251127_194511_cCAQFQ/hall_of_fame_output1.csv - /tmp/jl_FXwVp1/20251127_194511_cCAQFQ/hall_of_fame_output2.csv - /tmp/jl_FXwVp1/20251127_194511_cCAQFQ/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 1.939e+00 1.201e+01 y₁ = b2 * 0.29448 7 3.052e-01 4.622e-01 y₁ = b2 * ((b1 * 1.5999) + 0.29448) 9 8.266e-06 5.258e+00 y₁ = b2 * (b1 - ((-0.067372 / b2) * 0.042676)) 11 8.987e-18 1.377e+01 y₁ = b2 * (b1 - (((-0.00019089 / -0.59963) * -0.00019089)... * 0.042676)) 25 5.067e-27 1.521e+00 y₁ = b2 * (b1 + ((-0.00019089 / (((((((b2 / -0.00019089) ... * -1.8138) + b2) * 1.1106) / 0.80595) + (b2 / b2)) / -0.5... 9963)) * -8.1465e-06)) 27 0.000e+00 1.802e+01 y₁ = b2 * (b1 - (((((((((b2 / -0.00019135) * -1.8138) + b... 2) * 1.1106) / 0.80595) + ((b2 / b2) - -1.8138)) / -0.599... 63) + -0.00019089) * 3.6224e-22)) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 7 9.973e-01 5.149e+00 y₂ = ((b2 - 0.10144) + 0.10101) - -0.11225 9 2.312e-29 1.802e+01 y₂ = ((b2 - 0.10684) + (b1 * 1)) - -0.10684 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_cThiYg/20251127_194529_XJt6YE/hall_of_fame_output1.csv - /tmp/jl_cThiYg/20251127_194529_XJt6YE/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 5 9.216e-01 7.209e+00 y₁ = (x₃ - x₁) * -0.063452 7 7.786e-01 8.428e-02 y₁ = (x₃ - (x₁ / 0.45376)) * -0.063452 9 6.335e-01 1.031e-01 y₁ = (x₃ - ((x₁ / 0.62146) / 0.45376)) * -0.063452 11 5.984e-01 2.852e-02 y₁ = ((x₂ - x₁) - (x₁ / 0.59568)) * (-0.035038 * 2.5601) 13 3.109e-01 3.273e-01 y₁ = (((x₂ - x₁) - (x₁ / 0.48042)) / 0.59568) * (-0.03503... 8 * 2.5601) 15 3.968e-03 2.181e+00 y₁ = ((((x₂ - x₁) - (x₂ - (x₁ + 0.48042))) - 0.59568) * -... 0.54656) + x₁ 17 3.630e-16 1.501e+01 y₁ = (((((x₂ - x₁) - (x₂ - (x₁ + 0.48936))) - 0.59568) / ... -1.6766) * -3.0046e-07) + x₁ 21 8.117e-22 3.253e+00 y₁ = (((((((x₂ - x₁) - (x₂ - (x₁ + 0.18564))) - 0.51439) ... / -1.7516) - 0.0047069) / -10.256) * 1.597e-09) + x₁ ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 1.034e+00 3.604e+01 y₂ = -0.069213 3 1.456e-28 1.802e+01 y₂ = x₂ + 1.2089e-14 7 6.437e-33 2.507e+00 y₂ = ((x₁ + 5.9975e-18) + x₂) - x₁ ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 3.895e+00 3.604e+01 y₃ = 1.7508 3 8.881e-02 1.890e+00 y₃ = x₃ - 0.29801 7 5.042e-04 1.293e+00 y₃ = ((x₃ + 1.7829) * 0.97908) - 1.7403 9 9.040e-22 1.802e+01 y₃ = (((x₃ / 0.97732) + 1.7818) * 0.97732) - 1.7414 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_khXOm3/test_run/hall_of_fame_output1.csv - /tmp/jl_khXOm3/test_run/hall_of_fame_output2.csv - /tmp/jl_khXOm3/test_run/hall_of_fame_output3.csv cols = SubString{String}["5", "0.9215926155007539", "\"(x3 - x1) * -0.06345231817272098\""] cols = SubString{String}["7", "0.7786388042495394", "\"(x3 - (x1 / 0.4537598035555816)) * -0.06345231817272098\""] cols = SubString{String}["9", "0.6335060154396133", "\"(x3 - ((x1 / 0.6214590388156302) / 0.4537598035555816)) * -0.06345231817272098\""] cols = SubString{String}["11", "0.5983840542759621", "\"((x2 - x1) - (x1 / 0.5956765905041445)) * (-0.035037825163656736 * 2.5600592851156176)\""] cols = SubString{String}["13", "0.3109423063504392", "\"(((x2 - x1) - (x1 / 0.48042223748948215)) / 0.5956765905041445) * (-0.035037825163656736 * 2.5600592851156176)\""] cols = SubString{String}["15", "0.003968196983668526", "\"((((x2 - x1) - (x2 - (x1 + 0.48042223748948215))) - 0.5956765905041445) * -0.5465617990507369) + x1\""] cols = SubString{String}["17", "3.6299364564263444e-16", "\"(((((x2 - x1) - (x2 - (x1 + 0.489364994146709))) - 0.5956765905041445) / -1.6765630373780631) * -3.004614504435961e-7) + x1\""] cols = SubString{String}["21", "8.11745865266195e-22", "\"(((((((x2 - x1) - (x2 - (x1 + 0.1856395639460653))) - 0.5143884885005416) / -1.7516280279837506) - 0.004706919915156645) / -10.256279351160476) * 1.5970110194940112e-9) + x1\""] cols = SubString{String}["1", "1.0337218059650681", "\"-0.06921251501762149\""] cols = SubString{String}["3", "1.4558975996117528e-28", "\"x2 + 1.2089287904082369e-14\""] cols = SubString{String}["7", "6.437180097871287e-33", "\"((x1 + 5.99752266215248e-18) + x2) - x1\""] cols = SubString{String}["1", "3.8949650325039467", "\"1.7508431923248862\""] cols = SubString{String}["3", "0.08881102316558373", "\"x3 - 0.2980117836018967\""] cols = SubString{String}["7", "0.000504218065117623", "\"((x3 + 1.7828555961889343) * 0.9790826144303904) - 1.7402826442121422\""] cols = SubString{String}["9", "9.039761889531504e-22", "\"(((x3 / 0.9773230276173324) + 1.7817805289045396) * 0.9773230276003271) - 1.7413751410030556\""] [ 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_G2cyXh/20251127_194607_OBfmyg/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_WJdyQo/20251127_194609_5j76Cj/hall_of_fame_output1.csv - /tmp/jl_WJdyQo/20251127_194609_5j76Cj/hall_of_fame_output2.csv - /tmp/jl_WJdyQo/20251127_194609_5j76Cj/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 2.037e+00 1.594e+01 y = 0.23034 2 1.771e+00 1.402e-01 y = cos(x₁) 3 1.039e+00 5.336e-01 y = x₂ * x₂ 4 8.888e-01 1.557e-01 y = 0.10902 ^ cos(x₂) 5 5.612e-01 4.598e-01 y = (x₂ * x₂) + -0.6909 7 1.020e-01 8.527e-01 y = (x₂ * x₂) - (x₁ * x₁) 9 6.256e-03 1.396e+00 y = (x₂ * x₂) - ((x₁ * x₁) ^ 0.76114) 10 0.000e+00 1.594e+01 y = ((x₂ * x₂) + (cos(x₁) * 2)) + -2 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_LGKhUo/20251127_195111_phuivY/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 | 10145 10145 23m25.2s test/test_backwards_compat.jl | 61 61 12m13.2s Generic interface tests | 2 2 8m00.4s Variable names - single outputs | 4 4 3m05.9s Variable names - multiple outputs | 7 7 17.2s Variable names - named outputs | 3 3 25.8s Good predictions | 34 34 7.8s Helpful errors | 5 5 7.2s Unfinished search | 6 6 8.8s test/runtests.jl | 10084 10084 11m12.0s Test handshake | 0 21.0s Test tutorial | 1 1 5m47.0s Test expression parser | 6058 6058 14.9s Test expression parser round trips | 4000 4000 2.7s Test llm output parser | 6 6 1.1s Test llm prompt construction | 8 8 2.3s Test whether the precompilation script works. | 0 1m13.2s Aqua tests | 11 11 3m29.8s 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 41.1s Compat bounds | 4 4 0.7s Piracy | 1 1 0.2s Persistent tasks | 1 1 1m48.7s Testing LibraryAugmentedSymbolicRegression tests passed Testing completed after 1434.97s PkgEval succeeded after 1946.41s