Package evaluation of LibraryAugmentedSymbolicRegression on Julia 1.12.0-rc1.2 (995ff9db19*) started at 2025-07-14T21:59:41.960 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... ┌ Warning: could not download https://pkg.julialang.org/registries │ exception = RequestError: Could not resolve host: pkg.julialang.org while requesting https://pkg.julialang.org/registries └ @ Pkg.Registry /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Registry/Registry.jl:77 Set-up completed after 8.98s ################################################################################ # Installation # Installing LibraryAugmentedSymbolicRegression... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [158930c3] + LibraryAugmentedSymbolicRegression v0.3.0 Updating `~/.julia/environments/v1.12/Manifest.toml` [47edcb42] + ADTypes v1.15.0 [1520ce14] + AbstractTrees v0.4.5 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.19.0 [d1d4a3ce] + BitFlags v0.1.9 [d360d2e6] + ChainRulesCore v1.25.2 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.17.0 [f0e56b4a] + ConcurrentUtilities v2.5.0 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [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 v1.8.0 [460bff9d] + ExceptionUnwrapping v0.1.11 [1a297f60] + FillArrays v1.13.0 [6a86dc24] + FiniteDiff v2.27.0 ⌅ [f6369f11] + ForwardDiff v0.10.38 [cd3eb016] + HTTP v1.10.17 [85a1e053] + Interfaces v0.3.2 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.3 [158930c3] + LibraryAugmentedSymbolicRegression v0.3.0 [d3d80556] + LineSearches v7.4.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [30fc2ffe] + LossFunctions v1.0.1 [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 v1.5.0 ⌅ [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 v1.3.2 [21216c6a] + Preferences v1.4.3 [92933f4c] + ProgressMeter v1.10.4 ⌅ [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 v1.2.1 [276daf66] + SpecialFunctions v2.5.1 [1e83bf80] + StaticArraysCore v1.4.3 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.5 ⌅ [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 v0.1.10 [5c2747f8] + URIs v1.6.1 [3a884ed6] + UnPack v1.0.2 [c8ffd9c3] + MbedTLS_jll v2.28.6+2 [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 v1.6.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [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 v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [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 v8.11.1+1 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.5.20 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.1+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.64.0+1 [3f19e933] + p7zip_jll v17.5.0+2 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 4.63s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 988.93s ################################################################################ # Testing # Testing LibraryAugmentedSymbolicRegression Status `/tmp/jl_YnZFc3/Project.toml` [4c88cf16] Aqua v0.8.13 ⌅ [a40a106e] DynamicExpressions v1.9.4 [cd3eb016] HTTP v1.10.17 [0f8b85d8] JSON3 v1.14.3 [158930c3] LibraryAugmentedSymbolicRegression v0.3.0 [d3d80556] LineSearches v7.4.0 [add582a8] MLJ v0.20.8 [a7f614a8] MLJBase v1.8.1 [e80e1ace] MLJModelInterface v1.11.1 [72560011] MLJTestInterface v0.2.8 ⌅ [429524aa] Optim v1.11.0 ⌅ [670122d1] PromptingTools v0.72.3 [fd094767] Suppressor v0.2.8 ⌃ [8254be44] SymbolicRegression v1.8.0 [d1185830] SymbolicUtils v3.29.0 [f8b46487] TestItemRunner v1.1.0 [1c621080] TestItems v1.0.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_YnZFc3/Manifest.toml` [47edcb42] ADTypes v1.15.0 [da404889] ARFFFiles v1.5.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] 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[e1d29d7a] Missings v1.2.0 [102ac46a] MultivariatePolynomials v0.5.9 [d8a4904e] MutableArithmetics v1.6.4 [d41bc354] NLSolversBase v7.10.0 [872c559c] NNlib v0.9.30 [77ba4419] NaNMath v1.1.3 [71a1bf82] NameResolution v0.1.5 ⌅ [e9f21f70] OpenAI v0.9.1 [8b6db2d4] OpenML v0.3.2 [4d8831e6] OpenSSL v1.5.0 ⌅ [429524aa] Optim v1.11.0 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.35 [65ce6f38] PackageExtensionCompat v1.0.2 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [8162dcfd] PrettyPrint v0.2.0 [54e16d92] PrettyPrinting v0.4.2 [08abe8d2] PrettyTables v2.4.0 [92933f4c] ProgressMeter v1.10.4 ⌅ [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 v0.8.0 [7e49a35a] RuntimeGeneratedFunctions v0.5.15 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TaskLocalValues v0.1.3 [8ea1fca8] TermInterface v2.0.0 [f8b46487] TestItemRunner v1.1.0 [1c621080] TestItems v1.0.0 [a759f4b9] TimerOutputs v0.5.29 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.84 [410a4b4d] Tricks v0.1.10 [5c2747f8] URIs v1.6.1 [3a884ed6] UnPack v1.0.2 [a7c27f48] Unityper v0.1.6 [013be700] UnsafeAtomics v0.3.0 [897b6980] WeakValueDicts v0.1.0 [c8ffd9c3] MbedTLS_jll v2.28.6+2 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [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 v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.11.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.1+0 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.13.1+0 [8e850ede] nghttp2_jll v1.64.0+1 [3f19e933] p7zip_jll v17.5.0+2 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 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}, NTuple{4, Symbol}, @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}, NTuple{4, Symbol}, @NamedTuple{readtimeout::Int64, iofunction::Nothing, decompress::Nothing, verbose::Int64}}, SubString{String}, SubString{String}}, Timer})() at ConcurrentUtilities.jl:10, 1)])) Precompiling packages... 4810.5 ms ✓ BangBang → BangBangChainRulesCoreExt 3010.8 ms ✓ FeatureSelection 3826.0 ms ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 5088.1 ms ✓ ARFFFiles 16155.0 ms ✓ FLoops 1115.7 ms ✓ CategoricalArrays → CategoricalArraysJSONExt 3253.2 ms ✓ LatinHypercubeSampling 7068.8 ms ✓ MLFlowClient 3294.0 ms ✓ StatsFuns 16017.8 ms ✓ NNlib 7397.7 ms ✓ OpenML 1621.7 ms ✓ StatsFuns → StatsFunsInverseFunctionsExt 4286.2 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 13820.9 ms ✓ Distributions 4446.3 ms ✓ NNlib → NNlibSpecialFunctionsExt 30658.7 ms ✓ MLUtils 5580.1 ms ✓ Distributions → DistributionsTestExt 5780.2 ms ✓ Distributions → DistributionsChainRulesCoreExt 10453.2 ms ✓ ScientificTypes 21914.5 ms ✓ StatisticalMeasuresBase 9306.7 ms ✓ CategoricalDistributions 45118.5 ms ✓ StatisticalMeasures 28284.3 ms ✓ MLJModels 19811.1 ms ✓ MLJBase 14674.9 ms ✓ MLJEnsembles 11821.1 ms ✓ StatisticalMeasures → ScientificTypesExt 16253.1 ms ✓ MLJBalancing 13000.3 ms ✓ MLJBase → DefaultMeasuresExt 17003.0 ms ✓ MLJIteration 16563.4 ms ✓ MLJFlow 16141.4 ms ✓ MLJTuning 31584.4 ms ✓ MLJ 32 dependencies successfully precompiled in 413 seconds. 174 already precompiled. Precompiling packages... 3904.9 ms ✓ LossFunctions → LossFunctionsCategoricalArraysExt 1 dependency successfully precompiled in 4 seconds. 14 already precompiled. Precompiling packages... 797.4 ms ✓ CategoricalArrays → CategoricalArraysStructTypesExt 1 dependency successfully precompiled in 1 seconds. 11 already precompiled. Precompiling packages... 4710.4 ms ✓ DynamicQuantities → DynamicQuantitiesScientificTypesExt 1 dependency successfully precompiled in 6 seconds. 72 already precompiled. Precompiling packages... 3303.5 ms ✓ ForwardDiff → ForwardDiffStaticArraysExt 1 dependency successfully precompiled in 4 seconds. 22 already precompiled. Precompiling packages... 2647.8 ms ✓ NNlib → NNlibForwardDiffExt 1 dependency successfully precompiled in 3 seconds. 50 already precompiled. Precompiling packages... 8125.8 ms ✓ StatisticalMeasures → LossFunctionsExt 1 dependency successfully precompiled in 11 seconds. 141 already precompiled. [ 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 2.322e+00 1.594e+01 y = 0.4502 2 2.124e+00 8.916e-02 y = cos(x₁) 3 8.085e-01 9.656e-01 y = x₂ * x₂ 5 5.295e-01 2.116e-01 y = (x₂ * x₂) - 0.52823 7 8.155e-02 9.354e-01 y = (x₂ - x₁) * (x₁ + x₂) 9 2.842e-02 5.272e-01 y = (x₂ - (x₁ * 0.8529)) * (x₁ + x₂) 10 0.000e+00 1.594e+01 y = ((x₂ * x₂) + (cos(x₁) * 2)) + -2 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - outputs/20250714_222758_xvRpLx/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 Precompiling packages... 20276.2 ms ✓ MLJTestInterface 1 dependency successfully precompiled in 25 seconds. 163 already precompiled. [ 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, NTuple{75, Symbol}, @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"##290".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 3.602e-05 7.292e-01 y = a * (a + -0.015641) 7 3.242e-05 5.269e-02 y = (a * (a / 1.0063)) + -0.0086794 9 4.900e-06 9.447e-01 y = (a * -0.057672) + (a * (a / 0.95074)) 13 2.490e-06 1.693e-01 y = (((a * -0.71213) - -0.040113) * 0.10369) + (a * (a / 0... .93848)) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_tr1hY5/20250714_223802_J4vyVO/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 5 9.398e-01 7.209e+00 y₁ = (-0.74721 * 1.1695) * a 7 4.862e-02 1.481e+00 y₁ = -0.74721 * (-0.44173 / (1.6819 - a)) 9 4.133e-02 8.124e-02 y₁ = -0.74721 * ((-0.44173 / (1.6819 - a)) * 1.1695) 11 3.835e-02 3.737e-02 y₁ = ((-0.74721 * (-0.44173 / (1.6819 - a))) * 1.1695) * ... a 13 1.167e-03 1.746e+00 y₁ = ((-0.74721 * (((-0.44173 / 1.6819) - a) / 0.85625)) ... / 1.1695) * a 15 4.900e-06 2.737e+00 y₁ = (((((a * -0.29824) - (a + -0.071185)) / 0.8318) * -0... .77602) / 1.1515) * a ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 8.900e-02 1.201e+01 y₂ = a * 1.2038 7 2.715e-02 2.968e-01 y₂ = a * (a / (1.6132 - a)) 9 3.064e-04 2.242e+00 y₂ = a * (a + ((-0.10455 * 0.80214) / 1.8184)) 13 8.814e-05 3.115e-01 y₂ = a * (a + ((-0.10455 * b) / ((1.6132 * a) + 1.2038))) 15 5.685e-05 2.193e-01 y₂ = a * (a + (((-0.10455 * 0.80214) / 1.8184) / ((1.6132... / a) + 1.2038))) 19 9.929e-07 1.012e+00 y₂ = a * (a + (-0.065546 / ((1.9401 - a) + ((a / 0.474) /... ((1.9849 / a) - 1.9177))))) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 5.140e-01 1.201e+01 y₃ = a / a 5 2.054e-01 4.586e-01 y₃ = 0.25117 + (-0.53085 + 0.97069) 7 6.415e-02 5.819e-01 y₃ = (b + a) * (-0.53085 + 0.97069) 9 5.952e-03 1.189e+00 y₃ = (((a - 0.47303) * 0.96068) - 0.082136) + 0.38373 11 1.548e-04 1.825e+00 y₃ = a / ((b * (b / a)) / (b * b)) 13 1.517e-04 1.013e-02 y₃ = a / (b * ((b / a) / ((b * 0.95904) * b))) 15 1.065e-05 1.328e+00 y₃ = (((a * 0.53618) * (a + a)) + ((a - 0.30099) * -0.081... 469)) - 0.021782 25 4.900e-06 7.759e-02 y₃ = (((a * 0.35724) + a) / b) * (0.9948 / ((1.9036 / (((... b / 0.47433) / 1.1219) * ((a * 0.73256) + -0.0401))) * 0.... 92838)) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_aaGyzP/20250714_223849_FfhxtG/hall_of_fame_output1.csv - /tmp/jl_aaGyzP/20250714_223849_FfhxtG/hall_of_fame_output2.csv - /tmp/jl_aaGyzP/20250714_223849_FfhxtG/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 1.365e+00 1.201e+01 y₁ = -1.5022 - -0.68636 5 1.188e+00 6.954e-02 y₁ = (0.7577 * -1.5022) - -0.68636 7 1.187e+00 5.374e-04 y₁ = 0.75293 * ((0.7577 * -1.5022) - -0.68636) 9 9.380e-21 1.802e+01 y₁ = ((0.7208 - (b1 * b2)) / -1) - -0.7208 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 7 9.109e-04 5.149e+00 y₂ = (b2 + b1) - (0.14755 - 0.17773) 11 7.706e-04 4.182e-02 y₂ = (b2 + b1) - (((0.14755 - 0.17773) * -0.79567) * b2) 13 5.029e-26 1.802e+01 y₂ = b1 + (b2 + ((b1 * ((-0.066098 / b2) * b2)) * 3.537e-... 12)) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_O5h2vc/20250714_223910_fKzJDx/hall_of_fame_output1.csv - /tmp/jl_O5h2vc/20250714_223910_fKzJDx/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 2.047e+00 3.604e+01 y₁ = -1.0698 3 0.000e+00 1.802e+01 y₁ = x₁ / 1 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 0.000e+00 1.201e+01 y₂ = x₂ + -5.5741e-19 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 3: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 3 1.017e+00 1.201e+01 y₃ = x₃ - x₂ 5 1.516e-05 5.557e+00 y₃ = x₃ + (-0.098187 * -0.039661) 9 1.195e-06 6.351e-01 y₃ = x₃ - (-0.026557 * ((x₃ / 1.4524) * -0.056192)) 11 1.306e-22 1.782e+01 y₃ = x₃ + (((x₃ / -208.17) * -2.2357e-09) * (x₂ / x₂)) 13 1.094e-22 8.848e-02 y₃ = x₃ + ((((x₃ / 322.16) * 9.2399e-07) / (x₂ / x₂)) * -... 0.0034274) 19 1.360e-29 2.650e+00 y₃ = (x₃ * (((x₃ - -0.54746) / x₃) + ((((-0.86263 / x₃) +... -22.046) / 176.71) + 0.12476))) + -0.54257 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_JU068T/test_run/hall_of_fame_output1.csv - /tmp/jl_JU068T/test_run/hall_of_fame_output2.csv - /tmp/jl_JU068T/test_run/hall_of_fame_output3.csv cols = SubString{String}["1", "2.0469987907087326", "\"-1.0697857571355938\""] cols = SubString{String}["3", "0.0", "\"x1 / 1.0\""] cols = SubString{String}["3", "0.0", "\"x2 + -5.57414131558132e-19\""] cols = SubString{String}["3", "1.0171579376728632", "\"x3 - x2\""] cols = SubString{String}["5", "1.516465364991505e-5", "\"x3 + (-0.098187051857311 * -0.039660850917899636)\""] cols = SubString{String}["9", "1.1953681791527057e-6", "\"x3 - (-0.026556964960329055 * ((x3 / 1.452404613709539) * -0.05619165808919141))\""] cols = SubString{String}["11", "1.3060286726697264e-22", "\"x3 + (((x3 / -208.1690599953504) * -2.2356517058185414e-9) * (x2 / x2))\""] cols = SubString{String}["13", "1.0942077959862323e-22", "\"x3 + ((((x3 / 322.15817752546036) * 9.239875450004595e-7) / (x2 / x2)) * -0.0034273983838287937)\""] cols = SubString{String}["19", "1.3596065488620883e-29", "\"(x3 * (((x3 - -0.5474550803711099) / x3) + ((((-0.8626304163862333 / x3) + -22.046128117731193) / 176.70885699179362) + 0.12475961020310125))) + -0.5425734324952113\""] [ 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_9vgJuB/20250714_224000_1YJ2Xa/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_Ise24n/20250714_224001_o6CTIb/hall_of_fame_output1.csv - /tmp/jl_Ise24n/20250714_224001_o6CTIb/hall_of_fame_output2.csv - /tmp/jl_Ise24n/20250714_224001_o6CTIb/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 Test Summary: | Pass Total Time Package | 10135 10135 22m00.5s test/runtests.jl | 10080 10080 17m03.2s Test handshake | 0 58.2s Test tutorial | 1 1 10m48.8s Test expression parser | 6054 6054 17.8s Test expression parser round trips | 4000 4000 3.0s Test llm output parser | 6 6 0.7s Test llm prompt construction | 8 8 2.6s Test whether the precompilation script works. | 0 1m45.6s Aqua tests | 11 11 3m06.3s Unbound type parameters | 1 1 0.1s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.4s Stale dependencies | 1 1 43.5s Compat bounds | 4 4 0.8s Piracy | 1 1 0.2s Persistent tasks | 1 1 1m01.4s test/test_backwards_compat.jl | 55 55 4m57.4s Generic interface tests | 2 2 2m15.1s Variable names - single outputs | 4 4 1m17.8s Variable names - multiple outputs | 7 7 19.8s Variable names - named outputs | 3 3 31.0s Good predictions | 28 28 12.5s Helpful errors | 5 5 9.9s Unfinished search | 6 6 11.2s Testing LibraryAugmentedSymbolicRegression tests passed Testing completed after 1366.5s PkgEval succeeded after 2431.55s