Package evaluation to test LibraryAugmentedSymbolicRegression on Julia 1.14.0-DEV.1354 (1806b0bc31*) started at 2025-12-11T20:07:42.616 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 9.72s ################################################################################ # Installation # Installing LibraryAugmentedSymbolicRegression... Resolving package versions... Installed AbstractTrees ────────────────────── v0.4.5 Installed DiffResults ──────────────────────── v1.1.0 Installed FillArrays ───────────────────────── v1.15.0 Installed MacroTools ───────────────────────── v0.5.16 Installed DataStructures ───────────────────── v0.19.3 Installed ForwardDiff ──────────────────────── v0.10.39 Installed URIs ─────────────────────────────── v1.6.1 Installed Tricks ───────────────────────────── v0.1.13 Installed Adapt ────────────────────────────── v4.4.0 Installed AliasTables ──────────────────────── v1.1.3 Installed ConstructionBase ─────────────────── v1.6.0 Installed ConcurrentUtilities ──────────────── v2.5.0 Installed StreamCallbacks ──────────────────── v0.5.2 Installed StatsBase ────────────────────────── v0.34.9 Installed SymbolicRegression ───────────────── v1.8.0 Installed Optim ────────────────────────────── v1.11.0 Installed CodecZlib ────────────────────────── v0.7.8 Installed ExceptionUnwrapping ──────────────── v0.1.11 Installed DataAPI ──────────────────────────── v1.16.0 Installed ArrayInterface ───────────────────── v7.22.0 Installed Compat ───────────────────────────── v4.18.1 Installed OrderedCollections ───────────────── v1.8.1 Installed TranscodingStreams ───────────────── v0.11.3 Installed Statistics ───────────────────────── v1.11.1 Installed PositiveFactorizations ───────────── v0.2.4 Installed StatsAPI ─────────────────────────── v1.8.0 Installed CommonSubexpressions ─────────────── v0.3.1 Installed ProgressMeter ────────────────────── v1.11.0 Installed MbedTLS ──────────────────────────── v1.1.9 Installed OpenSSL ──────────────────────────── v1.6.1 Installed PrecompileTools ──────────────────── v1.3.3 Installed DynamicDiff ──────────────────────── v0.2.1 Installed DispatchDoctor ───────────────────── v0.4.26 Installed StaticArraysCore ─────────────────── v1.4.4 Installed LoggingExtras ────────────────────── v1.2.0 Installed NaNMath ──────────────────────────── v1.1.3 Installed IrrationalConstants ──────────────── v0.2.6 Installed Requires ─────────────────────────── v1.3.1 Installed ChainRulesCore ───────────────────── v1.26.0 Installed DynamicQuantities ────────────────── v1.10.0 Installed HTTP ─────────────────────────────── v1.10.19 Installed OpenSpecFun_jll ──────────────────── v0.5.6+0 Installed JSON3 ────────────────────────────── v1.14.3 Installed BitFlags ─────────────────────────── v0.1.9 Installed DiffRules ────────────────────────── v1.15.1 Installed LogExpFunctions ──────────────────── v0.3.29 Installed JSON ─────────────────────────────── v0.21.4 Installed Interfaces ───────────────────────── v0.3.2 Installed OpenAI ───────────────────────────── v0.9.1 Installed PackageExtensionCompat ───────────── v1.0.2 Installed PtrArrays ────────────────────────── v1.3.0 Installed Parsers ──────────────────────────── v2.8.3 Installed Parameters ───────────────────────── v0.12.3 Installed NLSolversBase ────────────────────── v7.10.0 Installed FiniteDiff ───────────────────────── v2.29.0 Installed Reexport ─────────────────────────── v1.2.2 Installed Missings ─────────────────────────── v1.2.0 Installed SpecialFunctions ─────────────────── v2.6.1 Installed Setfield ─────────────────────────── v1.1.2 Installed LossFunctions ────────────────────── v1.1.1 Installed Preferences ──────────────────────── v1.5.0 Installed SimpleBufferStream ───────────────── v1.2.0 Installed ScientificTypesBase ──────────────── v3.0.0 Installed TestItems ────────────────────────── v1.0.0 Installed JLLWrappers ──────────────────────── v1.7.1 Installed DynamicExpressions ───────────────── v1.9.4 Installed MbedTLS_jll ──────────────────────── v2.28.1010+0 Installed StructTypes ──────────────────────── v1.11.0 Installed LineSearches ─────────────────────── v7.5.1 Installed UnPack ───────────────────────────── v1.0.2 Installed SortingAlgorithms ────────────────── v1.2.2 Installed LibraryAugmentedSymbolicRegression ─ v0.3.0 Installed PromptingTools ───────────────────── v0.72.3 Installed StatisticalTraits ────────────────── v3.5.0 Installed ADTypes ──────────────────────────── v1.20.0 Installed DocStringExtensions ──────────────── v0.9.5 Installed MLJModelInterface ────────────────── v1.11.1 Installed DifferentiationInterface ─────────── v0.6.54 Installing 2 artifacts Installed artifact OpenSpecFun 194.9 KiB Installed artifact MbedTLS 2.2 MiB Updating `~/.julia/environments/v1.14/Project.toml` [158930c3] + LibraryAugmentedSymbolicRegression v0.3.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.20.0 [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 v1.6.1 ⌅ [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 v1.5.0 [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 v1.8.0 [2913bbd2] + StatsBase v0.34.9 ⌅ [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 v8.17.0+0 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.12.2 [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 9.02s ################################################################################ # Precompilation # ERROR: LoadError: MethodError: no method matching setindex!(::Base.ScopedValues.ScopedValue{IO}, ::Nothing) The function `setindex!` exists, but no method is defined for this combination of argument types. Stacktrace: [1] top-level scope @ /PkgEval.jl/scripts/precompile.jl:10 [2] include(mod::Module, _path::String) @ Base ./Base.jl:309 [3] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [4] _start() @ Base ./client.jl:577 in expression starting at /PkgEval.jl/scripts/precompile.jl:6 caused by: MethodError: no method matching setindex!(::Base.ScopedValues.ScopedValue{IO}, ::Base.DevNull) The function `setindex!` exists, but no method is defined for this combination of argument types. Stacktrace: [1] top-level scope @ /PkgEval.jl/scripts/precompile.jl:7 [2] include(mod::Module, _path::String) @ Base ./Base.jl:309 [3] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [4] _start() @ Base ./client.jl:577 Precompilation failed after 12.93s ################################################################################ # Testing # Testing LibraryAugmentedSymbolicRegression Status `/tmp/jl_3L9bdO/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 v1.11.0 ⌅ [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_3L9bdO/Manifest.toml` [47edcb42] ADTypes v1.20.0 [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 v0.4.6 [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 v1.11.0 [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 v1.6.1 ⌅ [429524aa] Optim v1.11.0 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.36 [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 [8162dcfd] PrettyPrint v0.2.0 [54e16d92] PrettyPrinting v0.4.2 [08abe8d2] PrettyTables v3.1.2 [92933f4c] ProgressMeter v1.11.0 ⌅ [670122d1] PromptingTools v0.72.3 [43287f4e] PtrArrays v1.3.0 [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 v0.5.16 [321657f4] ScientificTypes v3.1.2 [30f210dd] ScientificTypesBase v3.0.0 [7e506255] ScopedValues v1.5.0 [6c6a2e73] Scratch v1.3.0 [91c51154] SentinelArrays v1.4.8 [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 v2.6.1 [171d559e] SplittablesBase v0.1.15 [860ef19b] StableRNGs v1.0.4 [90137ffa] 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 v1.8.0 [2913bbd2] StatsBase v0.34.9 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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 ┌ 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 ┌ 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 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 4 dependencies had output during precompilation: ┌ 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 → 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 → 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 │ [Output was shown above] └ ┌ 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 1.548e-04 1.201e+01 y = a * a 5 8.158e-05 3.204e-01 y = (a * a) - 0.0041455 7 4.037e-05 3.517e-01 y = a * (a - (0.0041455 - -0.018798)) 9 3.583e-05 5.964e-02 y = a * (a - (0.0041455 / (0.37949 * a))) 11 2.967e-05 9.432e-02 y = (a * a) - (0.0041455 - ((-0.018798 * 0.50085) * a)) 13 2.617e-05 6.279e-02 y = (a * a) - (0.0041455 - ((-0.018798 * 0.50085) * (a - -... 0.18961))) 15 2.590e-05 5.279e-03 y = (a * a) - ((0.0041455 / (((0.37949 - 0.0041455) * a) -... -0.018798)) * a) 17 2.407e-05 3.662e-02 y = (a * a) - ((0.0041455 / (((0.37949 - (0.0041455 - -0.0... 18798)) * a) - -0.018798)) * a) 19 2.124e-05 6.236e-02 y = (a * a) - ((0.0041455 / ((((0.37949 + 0.0041455) - (-0... .018798 - -0.1296)) * a) - -0.018798)) * a) 21 1.984e-05 3.412e-02 y = (a * (a - 0.0051491)) - ((0.0041455 / (((0.37949 + ((0... .0041455 - -0.018798) / a)) * a) - -0.018798)) * a) 23 1.942e-05 1.079e-02 y = (a * (a - 0.0051491)) - ((0.0041455 / ((0.37949 + ((0.... 0041455 - -0.018798) / a)) * ((a - -0.01393) - -0.018798))... ) * a) 25 1.580e-05 1.030e-01 y = (a * a) - ((0.0041455 / ((((0.37949 * a) + ((-0.018798... / ((-0.40808 / b) * a)) / b)) * a) - -0.018798)) * a) 27 9.079e-06 2.772e-01 y = (a * (a - -0.011097)) - ((0.0002704 / (((a * 0.38052) ... + ((-0.0044044 / ((-0.4669 / b) * a)) * (2.0452 / b))) * 0... .029412)) * a) 29 1.555e-06 8.822e-01 y = (a * (a - 0.050968)) - (((((a * 0.17827) + (((-0.01780... 6 / ((-0.83096 / b) * a)) * 1.3897) / b)) * (a - -0.026197... )) * -0.22869) * a) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_uM8wBs/20251211_203252_7bJm9p/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 6.669e-03 1.201e+01 y₁ = a - 0.1974 5 4.752e-04 1.321e+00 y₁ = a * (a - -0.016727) 7 3.583e-05 1.292e+00 y₁ = ((a * a) - -0.012244) + -0.023153 9 3.242e-05 5.006e-02 y₁ = (((a * a) - -0.017843) / 1.0063) + -0.026411 13 4.900e-06 4.724e-01 y₁ = (a * 1.0518) * (b + ((a - (b - 0.32044)) + -0.37527)... ) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 8.649e-02 3.604e+01 y₂ = 0.34616 5 1.136e-02 5.075e-01 y₂ = (-0.16712 + a) + 0.066473 7 3.319e-05 2.918e+00 y₂ = a * ((a - -0.40695) + -0.4254) 21 5.050e-06 1.345e-01 y₂ = ((((((a + 0.0027646) + (a * -0.085573)) * -0.82286) ... - a) + (b * -0.0060348)) * (0.058267 - a)) / 1.6645 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.548e-04 1.201e+01 y₃ = a * a 7 1.548e-04 3.053e-16 y₃ = (a * (a * b)) / b 9 3.319e-05 7.701e-01 y₃ = ((a + a) - (a + 0.018458)) * a 13 5.626e-06 4.437e-01 y₃ = a / (((a - (-1.0827 / a)) + (a * -0.09151)) - a) 19 4.199e-06 4.875e-02 y₃ = (a * a) + (((((a + -0.041437) / (a * 1.3469)) * (1.0... 197 - a)) * a) * -0.10022) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_XZoRVM/20251211_203324_fyTdL9/hall_of_fame_output1.csv - /tmp/jl_XZoRVM/20251211_203324_fyTdL9/hall_of_fame_output2.csv - /tmp/jl_XZoRVM/20251211_203324_fyTdL9/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 0.000e+00 1.201e+01 y₁ = b1 * b2 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 0.000e+00 1.201e+01 y₂ = b1 + b2 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_GB3rua/20251211_203340_2eVf0I/hall_of_fame_output1.csv - /tmp/jl_GB3rua/20251211_203340_2eVf0I/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 1.386e-02 7.209e+00 y₁ = (x₁ + 0.68961) + -0.57187 7 2.675e-05 3.125e+00 y₁ = (x₁ - -0.065617) - (0.78797 - 0.71718) 17 5.857e-28 3.604e+00 y₁ = x₁ - ((0.58665 - (((-0.45432 / x₃) * ((x₃ / 1.708) *... -0.0075421)) + -0.085196)) + -0.66984) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 7 0.000e+00 5.149e+00 y₂ = x₂ - ((x₃ - x₃) * x₃) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.687e-17 1.201e+01 y₃ = x₃ - 4.1072e-09 5 0.000e+00 1.802e+01 y₃ = x₃ - (x₁ * 6.5047e-19) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_x9j0g8/test_run/hall_of_fame_output1.csv - /tmp/jl_x9j0g8/test_run/hall_of_fame_output2.csv - /tmp/jl_x9j0g8/test_run/hall_of_fame_output3.csv cols = SubString{String}["5", "0.013862696258148972", "\"(x1 + 0.6896106451299404) + -0.5718706932947669\""] cols = SubString{String}["7", "2.675067579019562e-5", "\"(x1 - -0.0656169907175941) - (0.7879670843492736 - 0.7171779880845938)\""] cols = SubString{String}["17", "5.856725227490385e-28", "\"x1 - ((0.5866526268059098 - (((-0.4543223492455548 / x3) * ((x3 / 1.7079620808736695) * -0.007542073169926638)) + -0.08519616522488281)) + -0.669842580980165)\""] cols = SubString{String}["7", "0.0", "\"x2 - ((x3 - x3) * x3)\""] cols = SubString{String}["3", "1.6868739779595698e-17", "\"x3 - 4.1071571486620565e-9\""] cols = SubString{String}["5", "0.0", "\"x3 - (x1 * 6.504683639320993e-19)\""] [ 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_qHpkfH/20251211_203405_BSDkVi/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_UDWodC/20251211_203407_a7ddc1/hall_of_fame_output1.csv - /tmp/jl_UDWodC/20251211_203407_a7ddc1/hall_of_fame_output2.csv - /tmp/jl_UDWodC/20251211_203407_a7ddc1/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 2.627e+00 1.594e+01 y = 0.1502 2 2.377e+00 1.001e-01 y = cos(x₁) 3 1.824e+00 2.646e-01 y = x₂ * x₂ 4 1.650e+00 1.001e-01 y = 0.73788 - cos(x₂) 5 9.823e-01 5.188e-01 y = (x₂ * x₂) - 0.91752 7 8.607e-01 6.604e-02 y = (x₂ * x₂) - cos(cos(x₁)) 8 2.456e-01 1.254e+00 y = (x₂ * x₂) - (1.4588 - cos(x₁)) 10 5.560e-15 7.971e+00 y = (x₂ * x₂) + ((cos(x₁) - 1) * 2) 12 5.513e-15 4.183e-03 y = (x₂ * x₂) + (-0.20494 - ((0.89753 - cos(x₁)) * 2)) 15 5.252e-15 1.618e-02 y = (x₂ * x₂) + ((cos(x₁) * 0.16184) - ((1.088 - cos(x₁)) ... * 1.8382)) 16 5.149e-15 1.979e-02 y = ((x₂ / x₁) * 4.1447e-09) + ((x₂ * x₂) - ((1 - cos(x₁))... * 2)) 17 5.063e-15 1.697e-02 y = (x₂ * (x₂ + ((-8.044e-09 / cos(x₂)) / 1.3896))) - ((1 ... - cos(x₁)) * 2) 20 4.860e-15 1.362e-02 y = (x₂ * x₂) + ((((x₁ - (x₂ - 0.63905)) / x₁) * -3.254e-0... 9) - ((1 - cos(x₁)) * 2)) 22 4.830e-15 3.069e-03 y = ((x₂ * x₂) + (((x₂ - -0.80852) - ((x₂ - 0.58455) / x₁)... ) * -3.254e-09)) - ((1 - cos(x₁)) * 2) 24 4.829e-15 1.382e-04 y = ((x₂ * x₂) + ((x₂ - (((x₂ - 0.58455) / x₁) + (-1.2338 ... - x₂))) * -3.254e-09)) - ((1 - cos(x₁)) * 2) 25 4.758e-15 1.478e-02 y = (x₂ * x₂) + (((((-3.254e-09 - ((x₂ - 0.58455) * cos(x₁... ))) / x₁) + 4.1948) * -3.254e-09) - ((1 - cos(x₁)) * 2)) 29 4.688e-15 3.701e-03 y = ((x₂ * x₂) + ((x₂ - ((x₂ + (((x₁ / 0.69697) - 0.58455)... * cos(x₁ / -0.17272))) / x₁)) * -3.254e-09)) - ((1 - cos(... x₁)) * 2) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_Be3jOH/20251211_203928_4bmpjp/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 | 10132 10132 35m46.3s test/test_backwards_compat.jl | 52 52 24m38.4s Generic interface tests | 2 2 20m26.2s Variable names - single outputs | 4 4 3m22.5s Variable names - multiple outputs | 7 7 14.1s Variable names - named outputs | 3 3 17.6s Good predictions | 25 25 5.6s Helpful errors | 5 5 4.8s Unfinished search | 6 6 7.4s test/runtests.jl | 10080 10080 11m07.8s Test handshake | 0 18.7s Test tutorial | 1 1 6m09.8s Test expression parser | 6054 6054 11.4s Test expression parser round trips | 4000 4000 2.7s Test llm output parser | 6 6 2.4s Test llm prompt construction | 8 8 2.2s Test whether the precompilation script works. | 0 58.4s Aqua tests | 11 11 3m22.2s Unbound type parameters | 1 1 0.1s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.4s Stale dependencies | 1 1 37.5s Compat bounds | 4 4 0.6s Piracy | 1 1 0.2s Persistent tasks | 1 1 1m26.1s Testing LibraryAugmentedSymbolicRegression tests passed Testing completed after 2180.5s PkgEval succeeded after 2263.63s