Package evaluation of SymbolicRegression on Julia 1.13.0-DEV.966 (46c2a5c7e1*) started at 2025-08-07T20:30:56.060 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.73s ################################################################################ # Installation # Installing SymbolicRegression... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [8254be44] + SymbolicRegression v1.12.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.16.0 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.19.0 [d360d2e6] + ChainRulesCore v1.25.2 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.0 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.4 [8d63f2c5] + DispatchDoctor v0.4.26 [ffbed154] + DocStringExtensions v0.9.5 ⌅ [7317a516] + DynamicDiff v0.2.1 ⌅ [a40a106e] + DynamicExpressions v1.10.3 [06fc5a27] + DynamicQuantities v1.8.0 [4e289a0a] + EnumX v1.0.5 [1a297f60] + FillArrays v1.13.0 [6a86dc24] + FiniteDiff v2.27.0 [f6369f11] + ForwardDiff v1.0.1 [85a1e053] + Interfaces v0.3.2 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.1 [d3d80556] + LineSearches v7.4.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [30fc2ffe] + LossFunctions v1.0.2 ⌅ [e80e1ace] + MLJModelInterface v1.11.1 [1914dd2f] + MacroTools v0.5.16 [e1d29d7a] + Missings v1.2.0 [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 [429524aa] + Optim v1.13.2 [bac558e1] + OrderedCollections v1.8.1 [d96e819e] + Parameters v0.12.3 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 ⌅ [92933f4c] + ProgressMeter v1.10.2 [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 [a2af1166] + SortingAlgorithms v1.2.2 [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 v0.34.6 [8254be44] + SymbolicRegression v1.12.0 [1c621080] + TestItems v1.0.0 [410a4b4d] + Tricks v0.1.11 [3a884ed6] + UnPack v1.0.2 [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 v1.7.0 [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 v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown 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 v1.13.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.15.0+1 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.7.15 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.1+0 [efcefdf7] + PCRE2_jll v10.45.0+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 v5.13.1+0 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 4.81s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:76 Precompiling package dependencies... Precompilation completed after 813.04s ################################################################################ # Testing # Testing SymbolicRegression Test Could not use exact versions of packages in manifest, re-resolving. Note: if you do not check your manifest file into source control, then you can probably ignore this message. However, if you do check your manifest file into source control, then you probably want to pass the `allow_reresolve = false` kwarg when calling the `Pkg.test` function. Updating `/tmp/jl_vwVLNA/Project.toml` [4c88cf16] + Aqua v0.8.14 ⌃ [8ce10254] + Bumper v0.6.0 [0f8b85d8] + JSON3 v1.14.3 [e6f89c97] + LoggingExtras v1.1.0 [bdcacae8] + LoopVectorization v0.12.172 [a7f614a8] + MLJBase v1.8.2 [72560011] + MLJTestInterface v0.2.9 [1bc83da4] + SafeTestsets v0.1.0 [fd094767] + Suppressor v0.2.8 [8254be44] + SymbolicRegression v1.12.0 [d1185830] + SymbolicUtils v3.30.0 [899adc3e] + TensorBoardLogger v0.1.26 [f8b46487] + TestItemRunner v1.1.0 [e88e6eb3] + Zygote v0.7.10 [8dfed614] ~ Test ⇒ v1.11.0 Updating `/tmp/jl_vwVLNA/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [4c88cf16] + Aqua v0.8.14 [dce04be8] + ArgCheck v2.5.0 [a9b6321e] + Atomix v1.1.1 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [e2ed5e7c] + Bijections v0.2.2 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [e1450e63] + BufferedStreams v1.2.2 ⌃ [8ce10254] + Bumper v0.6.0 [2a0fbf3d] + CPUSummary v0.2.6 ⌅ [324d7699] + CategoricalArrays v0.10.8 [af321ab8] + CategoricalDistributions v0.1.15 [082447d4] + ChainRules v1.72.5 [fb6a15b2] + CloseOpenIntervals v0.1.13 [3da002f7] + ColorTypes v0.12.1 [c3611d14] + ColorVectorSpace v0.11.0 [5ae59095] + Colors v0.13.1 [861a8166] + Combinatorics v1.0.3 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [a33af91c] + CompositionsBase v0.1.2 [ed09eef8] + ComputationalResources v0.3.2 [6add18c4] + ContextVariablesX v0.1.3 [adafc99b] + CpuId v0.3.1 [a8cc5b0e] + Crayons v4.1.1 ⌅ [864edb3b] ↓ DataStructures v0.19.0 ⇒ v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [31c24e10] + Distributions v0.25.120 ⌅ [7317a516] + DynamicDiff v0.2.1 [7c1d4256] + DynamicPolynomials v0.6.2 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [5789e2e9] + FileIO v1.17.0 [53c48c17] + FixedPointNumbers v0.8.5 [46192b85] + GPUArraysCore v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [3e5b6fbb] + HostCPUFeatures v0.1.17 [34004b35] + HypergeometricFunctions v0.3.28 [7869d1d1] + IRTools v0.4.15 [615f187c] + IfElse v0.1.1 [a09fc81d] + ImageCore v0.10.5 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [82899510] + IteratorInterfaceExtensions v1.0.0 [0f8b85d8] + JSON3 v1.14.3 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.38 [b964fa9f] + LaTeXStrings v1.4.0 [10f19ff3] + LayoutPointers v0.1.17 [92ad9a40] + LearnAPI v1.0.1 [e6f89c97] + LoggingExtras v1.1.0 [bdcacae8] + LoopVectorization v0.12.172 [30fc2ffe] + LossFunctions v1.0.2 [c2834f40] + MLCore v1.0.0 [a7f614a8] + MLJBase v1.8.2 [72560011] + MLJTestInterface v0.2.9 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.8 [d125e4d3] + ManualMemory v0.1.8 [dbb5928d] + MappedArrays v0.4.2 [128add7d] + MicroCollections v0.2.0 [e94cdb99] + MosaicViews v0.3.4 [102ac46a] + MultivariatePolynomials v0.5.9 [d8a4904e] + MutableArithmetics v1.6.4 [872c559c] + NNlib v0.9.31 [71a1bf82] + NameResolution v0.1.5 [6fe1bfb0] + OffsetArrays v1.17.0 [90014a1f] + PDMats v0.11.35 [5432bcbf] + PaddedViews v0.5.12 [69de0a69] + Parsers v2.8.3 [1d0040c9] + PolyesterWeave v0.2.2 [8162dcfd] + PrettyPrint v0.2.0 [08abe8d2] + PrettyTables v2.4.0 ⌅ [92933f4c] + ProgressMeter v1.10.2 [3349acd9] + ProtoBuf v1.1.1 [1fd47b50] + QuadGK v2.11.2 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 [79098fc4] + Rmath v0.8.0 [7e49a35a] + RuntimeGeneratedFunctions v0.5.15 [94e857df] + SIMDTypes v0.1.0 [476501e8] + SLEEFPirates v0.6.43 [1bc83da4] + SafeTestsets v0.1.0 [321657f4] + ScientificTypes v3.1.1 [7e506255] + ScopedValues v1.4.0 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.4 [dc90abb0] + SparseInverseSubset v0.1.2 [171d559e] + SplittablesBase v0.1.15 [cae243ae] + StackViews v0.1.2 [aedffcd0] + Static v1.2.0 [0d7ed370] + StaticArrayInterface v1.8.0 [90137ffa] + StaticArrays v1.9.14 [c062fc1d] + StatisticalMeasuresBase v0.1.3 [4c63d2b9] + StatsFuns v1.5.0 [7792a7ef] + StrideArraysCore v0.5.7 [892a3eda] + StringManipulation v0.4.1 [09ab397b] + StructArrays v0.7.1 [856f2bd8] + StructTypes v1.11.0 [fd094767] + Suppressor v0.2.8 [2efcf032] + SymbolicIndexingInterface v0.3.42 [8254be44] + SymbolicRegression v1.12.0 [d1185830] + SymbolicUtils v3.30.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [ed4db957] + TaskLocalValues v0.1.3 [899adc3e] + TensorBoardLogger v0.1.26 [62fd8b95] + TensorCore v0.1.1 [8ea1fca8] + TermInterface v2.0.0 [f8b46487] + TestItemRunner v1.1.0 [8290d209] + ThreadingUtilities v0.5.5 [a759f4b9] + TimerOutputs v0.5.29 [28d57a85] + Transducers v0.4.84 [a7c27f48] + Unityper v0.1.6 [013be700] + UnsafeAtomics v0.3.0 [3d5dd08c] + VectorizationBase v0.21.71 [e88e6eb3] + Zygote v0.7.10 [700de1a5] + ZygoteRules v0.2.7 [f50d1b31] + Rmath_jll v0.5.1+0 [8bf52ea8] + CRC32c v1.11.0 [a63ad114] + Mmap v1.11.0 [4607b0f0] + SuiteSparse [8dfed614] ~ Test ⇒ v1.11.0 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` Test Successfully re-resolved Status `/tmp/jl_vwVLNA/Project.toml` [4c88cf16] Aqua v0.8.14 ⌃ [8ce10254] Bumper v0.6.0 [34da2185] Compat v4.18.0 [a0c0ee7d] DifferentiationInterface v0.7.4 [8d63f2c5] DispatchDoctor v0.4.26 ⌅ [a40a106e] DynamicExpressions v1.10.3 [06fc5a27] DynamicQuantities v1.8.0 [f6369f11] ForwardDiff v1.0.1 [0f8b85d8] JSON3 v1.14.3 [d3d80556] LineSearches v7.4.0 [e6f89c97] LoggingExtras v1.1.0 [bdcacae8] LoopVectorization v0.12.172 [a7f614a8] MLJBase v1.8.2 ⌅ [e80e1ace] MLJModelInterface v1.11.1 [72560011] MLJTestInterface v0.2.9 [429524aa] Optim v1.13.2 [1bc83da4] SafeTestsets v0.1.0 [fd094767] Suppressor v0.2.8 [8254be44] SymbolicRegression v1.12.0 [d1185830] SymbolicUtils v3.30.0 [899adc3e] TensorBoardLogger v0.1.26 [f8b46487] TestItemRunner v1.1.0 [1c621080] TestItems v1.0.0 [e88e6eb3] Zygote v0.7.10 [8ba89e20] Distributed v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [f489334b] StyledStrings v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_vwVLNA/Manifest.toml` [47edcb42] ADTypes v1.16.0 [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.14 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.19.0 [a9b6321e] Atomix v1.1.1 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 [e2ed5e7c] Bijections v0.2.2 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [e1450e63] BufferedStreams v1.2.2 ⌃ [8ce10254] Bumper v0.6.0 [2a0fbf3d] CPUSummary v0.2.6 ⌅ [324d7699] CategoricalArrays v0.10.8 [af321ab8] CategoricalDistributions v0.1.15 [082447d4] ChainRules v1.72.5 [d360d2e6] ChainRulesCore v1.25.2 [fb6a15b2] CloseOpenIntervals v0.1.13 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [861a8166] Combinatorics v1.0.3 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.0 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [187b0558] ConstructionBase v1.6.0 [6add18c4] ContextVariablesX v0.1.3 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 ⌅ [864edb3b] DataStructures v0.18.22 [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 v0.7.4 [8d63f2c5] DispatchDoctor v0.4.26 [31c24e10] Distributions v0.25.120 [ffbed154] DocStringExtensions v0.9.5 ⌅ [7317a516] DynamicDiff v0.2.1 ⌅ [a40a106e] DynamicExpressions v1.10.3 [7c1d4256] DynamicPolynomials v0.6.2 [06fc5a27] DynamicQuantities v1.8.0 [4e289a0a] EnumX v1.0.5 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [5789e2e9] FileIO v1.17.0 [1a297f60] FillArrays v1.13.0 [6a86dc24] FiniteDiff v2.27.0 [53c48c17] FixedPointNumbers v0.8.5 [f6369f11] ForwardDiff v1.0.1 [46192b85] GPUArraysCore v0.2.0 [076d061b] HashArrayMappedTries v0.2.0 [3e5b6fbb] HostCPUFeatures v0.1.17 [34004b35] HypergeometricFunctions v0.3.28 [7869d1d1] IRTools v0.4.15 [615f187c] IfElse v0.1.1 [a09fc81d] ImageCore v0.10.5 [22cec73e] InitialValues v0.3.1 [85a1e053] Interfaces v0.3.2 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 [0f8b85d8] JSON3 v1.14.3 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.38 [b964fa9f] LaTeXStrings v1.4.0 [10f19ff3] LayoutPointers v0.1.17 [92ad9a40] LearnAPI v1.0.1 [d3d80556] LineSearches v7.4.0 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.1.0 [bdcacae8] LoopVectorization v0.12.172 [30fc2ffe] LossFunctions v1.0.2 [c2834f40] MLCore v1.0.0 [a7f614a8] MLJBase v1.8.2 ⌅ [e80e1ace] MLJModelInterface v1.11.1 [72560011] MLJTestInterface v0.2.9 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [dbb5928d] MappedArrays v0.4.2 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [e94cdb99] MosaicViews v0.3.4 [102ac46a] MultivariatePolynomials v0.5.9 [d8a4904e] MutableArithmetics v1.6.4 [d41bc354] NLSolversBase v7.10.0 [872c559c] NNlib v0.9.31 [77ba4419] NaNMath v1.1.3 [71a1bf82] NameResolution v0.1.5 [6fe1bfb0] OffsetArrays v1.17.0 [429524aa] Optim v1.13.2 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.35 [5432bcbf] PaddedViews v0.5.12 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [1d0040c9] PolyesterWeave v0.2.2 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [8162dcfd] PrettyPrint v0.2.0 [08abe8d2] PrettyTables v2.4.0 ⌅ [92933f4c] ProgressMeter v1.10.2 [3349acd9] ProtoBuf v1.1.1 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [c1ae055f] RealDot v0.1.0 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.8.0 [7e49a35a] RuntimeGeneratedFunctions v0.5.15 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.43 [1bc83da4] SafeTestsets v0.1.0 [321657f4] ScientificTypes v3.1.1 [30f210dd] ScientificTypesBase v3.0.0 [7e506255] ScopedValues v1.4.0 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [699a6c99] SimpleTraits v0.9.4 [a2af1166] SortingAlgorithms v1.2.2 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.5.1 [171d559e] SplittablesBase v0.1.15 [cae243ae] StackViews v0.1.2 [aedffcd0] Static v1.2.0 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.14 [1e83bf80] StaticArraysCore v1.4.3 [c062fc1d] StatisticalMeasuresBase v0.1.3 [64bff920] StatisticalTraits v3.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.6 [4c63d2b9] StatsFuns v1.5.0 [7792a7ef] StrideArraysCore v0.5.7 [892a3eda] StringManipulation v0.4.1 [09ab397b] StructArrays v0.7.1 [856f2bd8] StructTypes v1.11.0 [fd094767] Suppressor v0.2.8 [2efcf032] SymbolicIndexingInterface v0.3.42 [8254be44] SymbolicRegression v1.12.0 [d1185830] SymbolicUtils v3.30.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [ed4db957] TaskLocalValues v0.1.3 [899adc3e] TensorBoardLogger v0.1.26 [62fd8b95] TensorCore v0.1.1 [8ea1fca8] TermInterface v2.0.0 [f8b46487] TestItemRunner v1.1.0 [1c621080] TestItems v1.0.0 [8290d209] ThreadingUtilities v0.5.5 [a759f4b9] TimerOutputs v0.5.29 [28d57a85] Transducers v0.4.84 [410a4b4d] Tricks v0.1.11 [3a884ed6] UnPack v1.0.2 [a7c27f48] Unityper v0.1.6 [013be700] UnsafeAtomics v0.3.0 [3d5dd08c] VectorizationBase v0.21.71 [e88e6eb3] Zygote v0.7.10 [700de1a5] ZygoteRules v0.2.7 [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 [8bf52ea8] CRC32c 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 v0.6.4 [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 v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [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 v8.15.0+1 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.7.15 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.1+0 [efcefdf7] PCRE2_jll v10.45.0+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 v5.13.1+0 [8e850ede] nghttp2_jll v1.65.0+0 [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: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:69 ┌ Warning: You are using dimensional constraints, but `dimensional_constraint_penalty` was not set. The default penalty of `1000.0` will be used. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:73 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 3.234e+01 0.000e+00 y = 10.434[?] 3 5.135e-01 2.071e+00 y = x₁[kg] * 1.0096[?] 5 5.120e-01 1.493e-03 y = (x₁[kg] - 0.081498[?]) * 1.0158[?] 8 0.000e+00 2.481e+02 y = custom_op(x₁[kg] / 1[?], cos(x₁[kg] / 1[?])) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - outputs/20250807_204650_KI56BA/hall_of_fame.csv Precompiling packages... 3542.6 ms ✓ BangBang → BangBangTablesExt 3801.6 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 10639.0 ms ✓ Distributions 7418.0 ms ✓ Transducers 5317.3 ms ✓ Distributions → DistributionsTestExt 5299.6 ms ✓ Distributions → DistributionsChainRulesCoreExt 9061.1 ms ✓ ScientificTypes 2598.8 ms ✓ Transducers → TransducersAdaptExt 14646.0 ms ✓ FLoops 8991.7 ms ✓ CategoricalDistributions 26438.4 ms ✓ MLUtils 20379.0 ms ✓ StatisticalMeasuresBase 19329.2 ms ✓ MLJBase 13 dependencies successfully precompiled in 140 seconds. 133 already precompiled. Precompiling packages... 10192.5 ms ✓ DynamicQuantities → DynamicQuantitiesScientificTypesExt 1 dependency successfully precompiled in 12 seconds. 71 already precompiled. Precompiling packages... 4210.8 ms ✓ NNlib → NNlibForwardDiffExt 1 dependency successfully precompiled in 5 seconds. 49 already precompiled. ┌ Warning: `EquationSearch(X::AbstractMatrix{T1}, y::AbstractVector{T2}; kw...) where {T1, T2}` is deprecated, use `equation_search(X, y; kw...)` instead. │ caller = top-level scope at test_units.jl:216 └ @ Core ~/.julia/packages/SymbolicRegression/qoxyo/test/test_units.jl:216 ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:69 ┌ Warning: You are using dimensional constraints, but `dimensional_constraint_penalty` was not set. The default penalty of `1000.0` will be used. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:73 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 1.994e+00 0.000e+00 y[m²] = 0.843[?] 3 0.000e+00 3.722e+02 y[m²] = x₂[m] * x₂[m] ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - outputs/20250807_205119_2WopBG/hall_of_fame.csv ┌ Warning: `EquationSearch(X::AbstractMatrix{T1}, y::AbstractVector{T2}; kw...) where {T1, T2}` is deprecated, use `equation_search(X, y; kw...)` instead. │ caller = top-level scope at test_units.jl:240 └ @ Core ~/.julia/packages/SymbolicRegression/qoxyo/test/test_units.jl:240 ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:69 ┌ Warning: You are using dimensional constraints, but `dimensional_constraint_penalty` was not set. The default penalty of `1000.0` will be used. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:73 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 8.021e-01 0.000e+00 y[kg] = 0.77509[?] 3 7.782e-01 1.510e-02 y[kg] = sqrt(abs(x₂[kg²])) 4 1.402e-01 1.714e+00 y[kg] = cbrt(x₁[kg³]) + 0.85276[?] 6 0.000e+00 3.722e+02 y[kg] = sqrt(abs(x₂[kg²])) + cbrt(x₁[kg³]) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - outputs/20250807_205151_R9zPZv/hall_of_fame.csv [ Info: Training machine(SRRegressor(defaults = nothing, …), …). ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:69 ┌ Warning: You are using dimensional constraints, but `dimensional_constraint_penalty` was not set. The default penalty of `1000.0` will be used. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:73 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 9.374e-01 0.000e+00 y[kg] = 0.90207[?] 2 8.429e-01 1.063e-01 y[kg] = cbrt(x1[kg³]) 4 1.386e-01 9.027e-01 y[kg] = cbrt(x1[kg³]) + 0.83924[?] 6 0.000e+00 3.722e+02 y[kg] = cbrt(x1[kg³]) + sqrt(abs(x2[kg²])) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - outputs/20250807_205241_7mErgF/hall_of_fame.csv [ Info: Training machine(SRRegressor(defaults = nothing, …), …). ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:69 ┌ Warning: You are using dimensional constraints, but `dimensional_constraint_penalty` was not set. The default penalty of `1000.0` will be used. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:73 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 8.208e-01 0.000e+00 y[kg] = 0.85036[?] 3 7.382e-01 5.305e-02 y[kg] = sqrt(abs(x2[kg²])) 4 1.081e-01 1.921e+00 y[kg] = cbrt(x1[kg³]) + 0.85215[?] 6 0.000e+00 3.722e+02 y[kg] = cbrt(x1[kg³]) + sqrt(abs(x2[kg²])) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - outputs/20250807_205259_M6s69T/hall_of_fame.csv [ Info: Training machine(MultitargetSRRegressor(defaults = nothing, …), …). ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:69 ┌ Warning: You are using dimensional constraints, but `dimensional_constraint_penalty` was not set. The default penalty of `1000.0` will be used. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:73 [ Info: Started! Expressions evaluated per second: 4.460e+04 Progress: 281 / 6200 total iterations (4.532%) ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 1 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 8.783e-01 0.000e+00 y₁[kg] = 0.91049[?] 4 7.999e-01 3.116e-02 y₁[kg] = 0.84963[?] * abs(x2) 5 2.410e-01 1.200e+00 y₁[kg] = (x1 * 0.83169[?]) + 0.85734[?] 6 1.248e-01 6.584e-01 y₁[kg] = cbrt(x1 * 0.95943[?]) + 0.86954[?] 9 2.573e-02 5.262e-01 y₁[kg] = (cbrt(x1) + cbrt(x2 * x2)) * 1.075[?] 10 3.151e-05 6.705e+00 y₁[kg] = ((sqrt(abs(x2)) + cbrt(x1)) * 0.84963[?]) * ... 1.182[?] 16 1.932e-05 8.150e-02 y₁[kg] = (((sqrt(abs(x2)) + 1.2671[?]) * 0.9003[?]) +... (-1.1473[?] + cbrt(x1 * 0.7208[?]))) * 1.1147[?] 27 3.202e-09 7.914e-01 y₁[kg] = abs(cbrt(x2 * (sqrt(abs(cbrt(x2 * -0.64435[?... ])) * 1.2857[?]) * cbrt(abs(x2 * -0.62492[?])))) * 1.... 0353[?]) + (cbrt(x1 * 1.0001[?]) + 0.00011731[?]) ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 2 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 9.213e-01 0.000e+00 y₂ = 0.063905[?] 2 1.304e-01 1.956e+00 y₂ = cbrt(x1) 3 0.000e+00 7.444e+02 y₂ = x1 * 1[?] ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Press 'q' and then to stop execution early. [ Info: Final populations: [ Info: Output 1: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 8.783e-01 0.000e+00 y₁[kg] = 0.91049[?] 4 7.990e-01 3.152e-02 y₁[kg] = abs(x2) * 0.87664[?] 5 2.410e-01 1.199e+00 y₁[kg] = (x1 * 0.83169[?]) + 0.85734[?] 6 1.248e-01 6.584e-01 y₁[kg] = cbrt(x1 * 0.95943[?]) + 0.86954[?] 8 0.000e+00 3.722e+02 y₁[kg] = (sqrt(abs(x2)) + cbrt(x1)) * 1[?] ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 9.213e-01 0.000e+00 y₂ = 0.063905[?] 2 1.304e-01 1.956e+00 y₂ = cbrt(x1) 3 0.000e+00 7.444e+02 y₂ = x1 * 1[?] ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - outputs/20250807_205310_9S2QjF/hall_of_fame_output1.csv - outputs/20250807_205310_9S2QjF/hall_of_fame_output2.csv [ Info: Updating machine(MultitargetSRRegressor(defaults = nothing, …), …). ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:69 ┌ Warning: You are using dimensional constraints, but `dimensional_constraint_penalty` was not set. The default penalty of `1000.0` will be used. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:73 [ Info: Started! [ Info: Final populations: [ Info: Output 1: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 8.783e-01 0.000e+00 y₁[kg] = 0.91049[?] 4 7.990e-01 3.152e-02 y₁[kg] = abs(x2) * 0.87664[?] 5 2.410e-01 1.199e+00 y₁[kg] = (x1 * 0.83169[?]) + 0.85734[?] 6 1.248e-01 6.584e-01 y₁[kg] = cbrt(x1 * 0.95943[?]) + 0.86954[?] 8 0.000e+00 3.722e+02 y₁[kg] = (sqrt(abs(x2)) + cbrt(x1)) * 1[?] ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 9.213e-01 0.000e+00 y₂ = 0.063905[?] 2 1.304e-01 1.956e+00 y₂ = cbrt(x1) 3 0.000e+00 7.444e+02 y₂ = x1 * 1[?] ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - outputs/20250807_205327_li3AcB/hall_of_fame_output1.csv - outputs/20250807_205327_li3AcB/hall_of_fame_output2.csv ┌ Warning: The `expression_type`, `expression_options`, and `node_type` arguments are deprecated. Use `expression_spec` instead, which populates these automatically. │ caller = top-level scope at test_graph_nodes.jl:41 └ @ Core ~/.julia/packages/SymbolicRegression/qoxyo/test/test_graph_nodes.jl:41 ┌ Warning: The `expression_type`, `expression_options`, and `node_type` arguments are deprecated. Use `expression_spec` instead, which populates these automatically. │ caller = top-level scope at test_graph_nodes.jl:65 └ @ Core ~/.julia/packages/SymbolicRegression/qoxyo/test/test_graph_nodes.jl:65 ┌ Warning: The `expression_type`, `expression_options`, and `node_type` arguments are deprecated. Use `expression_spec` instead, which populates these automatically. │ caller = top-level scope at test_graph_nodes.jl:98 └ @ Core ~/.julia/packages/SymbolicRegression/qoxyo/test/test_graph_nodes.jl:98 Precompiling packages... 11999.8 ms ✓ ChainRules 63026.9 ms ✓ Zygote 2 dependencies successfully precompiled in 76 seconds. 64 already precompiled. Precompiling packages... 2606.3 ms ✓ StructArrays → StructArraysGPUArraysCoreExt 1 dependency successfully precompiled in 3 seconds. 36 already precompiled. Precompiling packages... 1854.8 ms ✓ ArrayInterface → ArrayInterfaceChainRulesExt 1 dependency successfully precompiled in 2 seconds. 40 already precompiled. Precompiling packages... 7734.6 ms ✓ DynamicExpressions → DynamicExpressionsZygoteExt 1 dependency successfully precompiled in 8 seconds. 71 already precompiled. Precompiling packages... 5479.0 ms ✓ DifferentiationInterface → DifferentiationInterfaceZygoteExt 1 dependency successfully precompiled in 6 seconds. 74 already precompiled. ┌ Warning: Skipping Enzyme tests because Enzyme.jl could not be loaded │ exception = │ ArgumentError: Package Enzyme not found in current path. │ - Run `import Pkg; Pkg.add("Enzyme")` to install the Enzyme package. └ @ Main.var"##335" ~/.julia/packages/SymbolicRegression/qoxyo/test/test_expression_derivatives.jl:120 ┌ Warning: Creating a node using a string is deprecated and will be removed in a future version. │ caller = ip:0x0 └ @ Core :-1 Precompiling packages... 10499.6 ms ✓ DynamicExpressions → DynamicExpressionsSymbolicUtilsExt 1 dependency successfully precompiled in 11 seconds. 89 already precompiled. Testing derivatives with respect to variables, with type=Float16. Done. Testing derivatives with respect to constants, with type=Float16. Done. Testing derivatives with respect to variables, with type=Float32. Done. Testing derivatives with respect to constants, with type=Float32. Done. Testing derivatives with respect to variables, with type=Float64. Done. Testing derivatives with respect to constants, with type=Float64. Done. Testing NodeIndex. ┌ Warning: `index_constants(tree::Union{AbstractExpression, AbstractExpressionNode}, T::Type = UInt16)` is deprecated, use `index_constant_nodes(tree, T)` instead. │ caller = index_constants(tree::DynamicExpressions.NodeModule.Node{Float32}) at deprecated.jl:214 └ @ Core ./deprecated.jl:214 Done. ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:69 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_ARt9TA/20250807_210822_iigH3C/hall_of_fame.csv Precompiling packages... 15270.3 ms ✓ DynamicExpressions → DynamicExpressionsLoopVectorizationExt 1 dependency successfully precompiled in 16 seconds. 46 already precompiled. Precompiling packages... 5942.4 ms ✓ LoopVectorization → ForwardDiffExt 1 dependency successfully precompiled in 7 seconds. 57 already precompiled. ┌ Warning: `npopulations` is deprecated. Use `populations` instead. │ caller = top-level scope at test_turbo_nan.jl:6 └ @ Core ~/.julia/packages/SymbolicRegression/qoxyo/test/test_turbo_nan.jl:6 WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in deg2_eval(AbstractArray{T, 1}, AbstractArray{T, 1}, F, DynamicExpressions.EvaluateModule.EvalOptions{true, B, E, BUF} where BUF<:Union{Nothing, DynamicExpressions.EvaluateModule.ArrayBuffer{A, R} where R<:(Base.RefValue{var"#s66"} where var"#s66"<:Integer) where A<:(AbstractArray{T, 2} where T)} where E where B) where {T<:Number, F} at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/ext/DynamicExpressionsLoopVectorizationExt.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in deg2_l0_eval(DynamicExpressions.NodeModule.AbstractExpressionNode{T}, AbstractArray{T, 1}, AbstractArray{T, N} where N, F, DynamicExpressions.EvaluateModule.EvalOptions{true, B, E, BUF} where BUF<:Union{Nothing, DynamicExpressions.EvaluateModule.ArrayBuffer{A, R} where R<:(Base.RefValue{var"#s66"} where var"#s66"<:Integer) where A<:(AbstractArray{T, 2} where T)} where E where B) where {T<:Number, F} at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/ext/DynamicExpressionsLoopVectorizationExt.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in deg2_r0_eval(DynamicExpressions.NodeModule.AbstractExpressionNode{T}, AbstractArray{T, 1}, AbstractArray{T, N} where N, F, DynamicExpressions.EvaluateModule.EvalOptions{true, B, E, BUF} where BUF<:Union{Nothing, DynamicExpressions.EvaluateModule.ArrayBuffer{A, R} where R<:(Base.RefValue{var"#s66"} where var"#s66"<:Integer) where A<:(AbstractArray{T, 2} where T)} where E where B) where {T<:Number, F} at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/ext/DynamicExpressionsLoopVectorizationExt.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in deg2_l0_r0_eval(DynamicExpressions.NodeModule.AbstractExpressionNode{T}, AbstractArray{T, 2}, F, DynamicExpressions.EvaluateModule.EvalOptions{true, B, E, BUF} where BUF<:Union{Nothing, DynamicExpressions.EvaluateModule.ArrayBuffer{A, R} where R<:(Base.RefValue{var"#s66"} where var"#s66"<:Integer) where A<:(AbstractArray{T, 2} where T)} where E where B) where {T<:Number, F} at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/ext/DynamicExpressionsLoopVectorizationExt.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in deg1_eval(AbstractArray{T, 1}, F, DynamicExpressions.EvaluateModule.EvalOptions{true, B, E, BUF} where BUF<:Union{Nothing, DynamicExpressions.EvaluateModule.ArrayBuffer{A, R} where R<:(Base.RefValue{var"#s66"} where var"#s66"<:Integer) where A<:(AbstractArray{T, 2} where T)} where E where B) where {T<:Number, F} at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/ext/DynamicExpressionsLoopVectorizationExt.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in deg1_l1_ll0_eval(DynamicExpressions.NodeModule.AbstractExpressionNode{T}, AbstractArray{T, 2}, F, F2, DynamicExpressions.EvaluateModule.EvalOptions{true, B, E, BUF} where BUF<:Union{Nothing, DynamicExpressions.EvaluateModule.ArrayBuffer{A, R} where R<:(Base.RefValue{var"#s66"} where var"#s66"<:Integer) where A<:(AbstractArray{T, 2} where T)} where E where B) where {T<:Number, F, F2} at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/ext/DynamicExpressionsLoopVectorizationExt.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in deg1_l2_ll0_lr0_eval(DynamicExpressions.NodeModule.AbstractExpressionNode{T}, AbstractArray{T, 2}, F, F2, DynamicExpressions.EvaluateModule.EvalOptions{true, B, E, BUF} where BUF<:Union{Nothing, DynamicExpressions.EvaluateModule.ArrayBuffer{A, R} where R<:(Base.RefValue{var"#s66"} where var"#s66"<:Integer) where A<:(AbstractArray{T, 2} where T)} where E where B) where {T<:Number, F, F2} at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/ext/DynamicExpressionsLoopVectorizationExt.jl Testing whether tournament_selection_p works. Passed. Testing crossover function. Passed. Testing NaN detection. Passed. Test operator nesting and flagging. Passed. ┌ Warning: The keyword argument `mutationWeights` is deprecated. Use `mutation_weights` instead. │ caller = top-level scope at test_deprecation.jl:4 └ @ Core ~/.julia/packages/SymbolicRegression/qoxyo/test/test_deprecation.jl:4 ┌ Warning: The keyword argument `mutationWeights` is deprecated. Use `mutation_weights` instead. │ caller = top-level scope at test_deprecation.jl:16 └ @ Core ~/.julia/packages/SymbolicRegression/qoxyo/test/test_deprecation.jl:16 ┌ Warning: Optimizer warnings are turned on. This might result in a lot of warnings being printed from NaNs, as these are common during symbolic regression └ @ SymbolicRegression.CoreModule.OptionsModule ~/.julia/packages/SymbolicRegression/qoxyo/src/Options.jl:935 ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:69 [ Info: Started! Expressions evaluated per second: 4.110e+04 Progress: 1 / 8 total iterations (12.500%) ════════════════════════════════════════════════════════════════════════════════════════════════════ ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 2 1.548e+00 0.000e+00 y = cos(t4) 4 1.143e+00 1.517e-01 y = 0.58702 + cos(t4) 5 9.417e-01 1.936e-01 y = cos(t4) + cos(t4) 7 6.805e-01 1.625e-01 y = cos(t4) + cos(1.0972 + t2) 9 1.736e-01 6.829e-01 y = (cos(t4) * 2.0236) + cos(1.6466 + t2) 11 9.383e-02 3.078e-01 y = ((cos(t4) * 1.4697) + cos(1.6466 + t2)) * 1.4515 13 5.934e-02 2.291e-01 y = ((cos(t4) * 1.4697) + cos(1.6466 + (t2 * 0.64789))) * ... 1.4515 15 1.514e-04 2.986e+00 y = ((cos(t4) * 1.6498) + (cos(1.5697 + (t2 * -0.20033)) *... -4.1756)) * 1.2172 ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Press 'q' and then to stop execution early. Expressions evaluated per second: 3.430e+04 Progress: 4 / 8 total iterations (50.000%) ════════════════════════════════════════════════════════════════════════════════════════════════════ ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 1.790e+00 0.000e+00 y = 1.2365 2 1.548e+00 1.453e-01 y = cos(t4) 4 9.574e-01 2.403e-01 y = cos(t4) * 1.8517 5 9.417e-01 1.649e-02 y = cos(t4) + cos(t4) 7 6.805e-01 1.625e-01 y = cos(t4) + cos(1.0972 + t2) 8 2.470e-01 1.014e+00 y = cos(t4) * ((-1.1624 * t2) + 1.8517) 9 1.736e-01 3.522e-01 y = (cos(t4) * 2.0236) + cos(1.6466 + t2) 11 1.798e-09 9.193e+00 y = cos(t4) + (cos(-1 * t4) + (t2 * -1)) 13 1.359e-12 3.594e+00 y = cos(t4) + (cos(-0.5 * (t4 + t4)) + (t2 * -1)) ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Press 'q' and then to stop execution early. [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 1.790e+00 0.000e+00 y = 1.2365 2 1.548e+00 1.453e-01 y = cos(t4) 4 9.574e-01 2.403e-01 y = cos(t4) * 1.8517 5 9.417e-01 1.649e-02 y = cos(t4) + cos(t4) 6 5.879e-01 4.712e-01 y = cos(t4) + (t2 * -1) 8 2.251e-01 4.800e-01 y = cos(t4) + (0.61265 + (t2 * -1)) 9 0.000e+00 1.033e+02 y = (cos(t4) + cos(t4)) + (t2 * -1) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_LkCxXT/20250807_211410_AJUabC/hall_of_fame.csv Passed. Testing whether state saving works. ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:69 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 1.790e+00 0.000e+00 y = 1.2365 2 1.548e+00 1.453e-01 y = cos(t4) 4 9.574e-01 2.403e-01 y = cos(t4) * 1.8517 5 9.417e-01 1.649e-02 y = cos(t4) + cos(t4) 6 5.879e-01 4.712e-01 y = cos(t4) + (t2 * -1) 8 2.251e-01 4.800e-01 y = cos(t4) + (0.61265 + (t2 * -1)) 9 0.000e+00 1.033e+02 y = (cos(t4) + cos(t4)) + (t2 * -1) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_LkCxXT/20250807_211443_pyHmeL/hall_of_fame.csv (cos(t4) + cos(t4)) + (t2 * -1.0) Testing whether state saving works with changed loss function. ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:69 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 1.790e-01 0.000e+00 y = 1.2365 2 1.548e-01 1.453e-01 y = cos(t4) 4 9.574e-02 2.403e-01 y = cos(t4) * 1.8517 5 9.417e-02 1.649e-02 y = cos(t4) + cos(t4) 6 5.879e-02 4.712e-01 y = cos(t4) + (t2 * -1) 8 2.251e-02 4.800e-01 y = cos(t4) + (0.61265 + (t2 * -1)) 9 0.000e+00 1.033e+02 y = (cos(t4) + cos(t4)) + (t2 * -1) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_yOfZUr/20250807_211450_ZVQpTn/hall_of_fame.csv [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 9.000e-01 0.000e+00 y = 1.2048 2 5.879e-01 4.258e-01 y = custom_cos(x₄) 4 0.000e+00 5.164e+01 y = custom_cos(x₄) * 2 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_5QdhJN/20250807_211456_bhcSUR/hall_of_fame.csv [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 9.000e-01 0.000e+00 y = 1.2046 2 5.879e-01 4.258e-01 y = custom_cos(x₄) 4 0.000e+00 5.164e+01 y = custom_cos(x₄) * 2 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_5QdhJN/20250807_211510_P2KwsB/hall_of_fame.csv ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/qoxyo/src/Configure.jl:69 [ Info: Started! ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 163 running 1 of 1 signal (10): User defined signal 1 != at ./float.jl:622 [inlined] isnan at ./float.jl:709 [inlined] cos at ./special/trig.jl:105 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:303 [inlined] macro expansion at ./simdloop.jl:77 [inlined] deg1_eval at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:302 [inlined] macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:416 [inlined] dispatch_deg1_eval at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:375 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:277 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:350 [inlined] dispatch_deg2_eval at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:321 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:282 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:413 [inlined] dispatch_deg1_eval at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:375 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:277 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:356 [inlined] dispatch_deg2_eval at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:321 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:282 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:413 [inlined] dispatch_deg1_eval at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:375 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:277 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:413 [inlined] dispatch_deg1_eval at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:375 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:277 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:350 [inlined] dispatch_deg2_eval at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:321 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:282 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:413 [inlined] dispatch_deg1_eval at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:375 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:277 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:350 [inlined] dispatch_deg2_eval at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:321 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:282 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:362 [inlined] dispatch_deg2_eval at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:321 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:282 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:365 [inlined] dispatch_deg2_eval at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:321 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:282 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:350 [inlined] dispatch_deg2_eval at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:321 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:282 macro expansion at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:350 [inlined] dispatch_deg2_eval at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:321 _eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:282 #eval_tree_array#2 at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:227 eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Evaluate.jl:200 [inlined] #eval_tree_array#14 at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Expression.jl:436 eval_tree_array at /home/pkgeval/.julia/packages/DynamicExpressions/cYbpm/src/Expression.jl:429 [inlined] #eval_tree_array#1 at /home/pkgeval/.julia/packages/SymbolicRegression/qoxyo/src/InterfaceDynamicExpressions.jl:81 [inlined] eval_tree_array at /home/pkgeval/.julia/packages/SymbolicRegression/qoxyo/src/InterfaceDynamicExpressions.jl:61 [inlined] eval_tree_dispatch at /home/pkgeval/.julia/packages/SymbolicRegression/qoxyo/src/LossFunctions.jl:68 [inlined] _eval_loss at /home/pkgeval/.julia/packages/SymbolicRegression/qoxyo/src/LossFunctions.jl:96 #eval_loss#1 at /home/pkgeval/.julia/packages/SymbolicRegression/qoxyo/src/LossFunctions.jl:155 eval_loss at /home/pkgeval/.julia/packages/SymbolicRegression/qoxyo/src/LossFunctions.jl:139 [inlined] #_#1 at /home/pkgeval/.julia/packages/SymbolicRegression/qoxyo/src/ConstantOptimization.jl:110 [inlined] Evaluator at /home/pkgeval/.julia/packages/SymbolicRegression/qoxyo/src/ConstantOptimization.jl:108 [inlined] #finite_difference_gradient!#10 at /home/pkgeval/.julia/packages/FiniteDiff/EBPBu/src/gradients.jl:373 finite_difference_gradient! at /home/pkgeval/.julia/packages/FiniteDiff/EBPBu/src/gradients.jl:313 [inlined] gradient! at /home/pkgeval/.julia/packages/DifferentiationInterface/D3LUI/ext/DifferentiationInterfaceFiniteDiffExt/onearg.jl:315 [inlined] g! at /home/pkgeval/.julia/packages/NLSolversBase/n7XXO/src/objective_types/oncedifferentiable.jl:49 unknown function (ip: 0x7f11795d3215) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 gradient!! at /home/pkgeval/.julia/packages/NLSolversBase/n7XXO/src/interface.jl:63 value_gradient! at /home/pkgeval/.julia/packages/NLSolversBase/n7XXO/src/interface.jl:73 update_g! at /home/pkgeval/.julia/packages/Optim/7krni/src/multivariate/optimize/optimize.jl:4 [inlined] optimize at /home/pkgeval/.julia/packages/Optim/7krni/src/multivariate/optimize/optimize.jl:70 optimize at /home/pkgeval/.julia/packages/Optim/7krni/src/multivariate/optimize/optimize.jl:43 [inlined] #optimize#67 at /home/pkgeval/.julia/packages/Optim/7krni/src/multivariate/optimize/interface.jl:274 [inlined] optimize at /home/pkgeval/.julia/packages/Optim/7krni/src/multivariate/optimize/interface.jl:264 [inlined] _optimize_constants at /home/pkgeval/.julia/packages/SymbolicRegression/qoxyo/src/ConstantOptimization.jl:78 unknown function (ip: 0x7f11795c27ab) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 optimize_constants at /home/pkgeval/.julia/packages/SymbolicRegression/qoxyo/src/ConstantOptimization.jl:43 unknown function (ip: 0x7f11912c5743) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 macro expansion at /home/pkgeval/.julia/packages/SymbolicRegression/qoxyo/src/SingleIteration.jl:88 [inlined] #optimize_and_simplify_population##2 at ./threadingconstructs.jl:276 #optimize_and_simplify_population##0 at ./threadingconstructs.jl:243 [inlined] #threading_run##0 at ./threadingconstructs.jl:177 unknown function (ip: 0x7f11912dd681) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1192 wait_forever at ./task.jl:1129 jfptr_wait_forever_70461.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x000074d6b870df00 Total snapshots: 430. Utilization: 0% ╎430 @Base/task.jl:1129 wait_forever() 429╎ 430 @Base/task.jl:1192 wait() [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1192 wait_forever at ./task.jl:1129 jfptr_wait_forever_70461.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) Allocations: 27862699 (Pool: 27862139; Big: 560); GC: 26 [163] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SymbolicRegression/qoxyo/example.jl:10 mtcache_hash_lookup at /source/src/typemap.c:312 [inlined] mtcache_hash_lookup at /source/src/typemap.c:308 [inlined] jl_typemap_level_assoc_exact at /source/src/typemap.c:1184 jl_typemap_assoc_exact at /source/src/julia_internal.h:1828 [inlined] jl_typemap_level_assoc_exact at /source/src/typemap.c:1196 jl_typemap_assoc_exact at /source/src/julia_internal.h:1828 [inlined] jl_lookup_generic_ at /source/src/gf.c:4148 [inlined] ijl_apply_generic at /source/src/gf.c:4208 jl_apply at /source/src/julia.h:2375 [inlined] jl_f__apply_iterate at /source/src/builtins.c:864 merge_names at ./namedtuple.jl:271 merge_fallback at ./namedtuple.jl:291 merge at ./namedtuple.jl:338 [inlined] setindex at ./namedtuple.jl:484 [inlined] #annotations##0 at ./none (unknown line) [inlined] iterate at ./generator.jl:48 [inlined] _collect at ./array.jl:655 collect at ./array.jl:647 [inlined] annotations at ./strings/annotated.jl:399 [inlined] annotations at ./strings/annotated.jl:404 [inlined] getindex at ./strings/annotated.jl:164 string_truncate_boundaries at ./strings/util.jl:673 string_truncate_boundaries at ./strings/util.jl:653 [inlined] rtruncate at ./strings/util.jl:560 [inlined] rtruncate at ./strings/util.jl:560 [inlined] tree_format at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1075 print_tree at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1255 tree at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1309 print_group at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:389 #print#5 at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:331 print at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:271 [inlined] print at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:271 [inlined] print at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:271 _peek_report at /source/usr/share/julia/stdlib/v1.13/Profile/src/Profile.jl:94 unknown function (ip: 0x7f117941882f) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] jl_f_invokelatest at /source/src/builtins.c:877 profile_printing_listener at ./Base.jl:339 #start_profile_listener##0 at ./Base.jl:357 jfptr_YY.start_profile_listenerYY.YY.0_18219.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) Allocations: 856670170 (Pool: 856659427; Big: 10743); GC: 281 PkgEval terminated after 2726.25s: test duration exceeded the time limit