Package evaluation of SymbolicRegression on Julia 1.13.0-DEV.725 (d6294ba973*) started at 2025-06-10T21:01:44.365 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.55s ################################################################################ # Installation # Installing SymbolicRegression... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [8254be44] + SymbolicRegression v1.11.1 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.14.0 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.19.0 [d360d2e6] + ChainRulesCore v1.25.1 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [187b0558] + ConstructionBase v1.5.8 [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 v0.4.19 [ffbed154] + DocStringExtensions v0.9.5 [7317a516] + DynamicDiff v0.2.1 [a40a106e] + DynamicExpressions v1.10.2 [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 v1.7.0 [d3d80556] + LineSearches v7.3.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [30fc2ffe] + LossFunctions v1.0.1 [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 v1.12.0 [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 v1.2.1 [276daf66] + SpecialFunctions v2.5.1 [1e83bf80] + StaticArraysCore v1.4.3 [64bff920] + StatisticalTraits v3.4.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.5 [8254be44] + SymbolicRegression v1.11.1 [1c621080] + TestItems v1.0.0 [410a4b4d] + Tricks v0.1.10 [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 v1.12.0 [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 v1.12.0 [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 v8.12.1+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 v3.5.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.12.0+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 4.16s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... ERROR: LoadError: The following 1 direct dependency failed to precompile: TensorBoardLogger Failed to precompile TensorBoardLogger [899adc3e-224a-11e9-021f-63837185c80f] to "/home/pkgeval/.julia/compiled/v1.13/TensorBoardLogger/jl_WFZbqF" (ProcessExited(1)). ERROR: LoadError: FieldError: type Core.TypeName has no field `mt`, available fields: `name`, `module`, `singletonname`, `names`, `atomicfields`, `constfields`, `wrapper`, `Typeofwrapper`, `cache`, `linearcache`, `partial`, `hash`, `max_args`, `n_uninitialized`, `flags`, `cache_entry_count`, `max_methods`, `constprop_heuristic` Stacktrace: [1] getproperty(x::Core.TypeName, f::Symbol) @ Base ./Base_compiler.jl:57 [2] top-level scope @ ~/.julia/packages/TensorBoardLogger/0nEI0/src/protojl/tensorboard/tensorboard/event_pb.jl:145 [3] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [4] top-level scope @ ~/.julia/packages/TensorBoardLogger/0nEI0/src/protojl/tensorboard/tensorboard/tensorboard.jl:35 [5] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [6] top-level scope @ ~/.julia/packages/TensorBoardLogger/0nEI0/src/TensorBoardLogger.jl:40 [7] include(mod::Module, _path::String) @ Base ./Base.jl:309 [8] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing) @ Base ./loading.jl:3000 [9] top-level scope @ stdin:5 [10] eval(m::Module, e::Any) @ Core ./boot.jl:489 [11] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2846 [12] include_string @ ./loading.jl:2856 [inlined] [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:322 [14] _start() @ Base ./client.jl:557 in expression starting at /home/pkgeval/.julia/packages/TensorBoardLogger/0nEI0/src/protojl/tensorboard/tensorboard/event_pb.jl:145 in expression starting at /home/pkgeval/.julia/packages/TensorBoardLogger/0nEI0/src/protojl/tensorboard/tensorboard/tensorboard.jl:1 in expression starting at /home/pkgeval/.julia/packages/TensorBoardLogger/0nEI0/src/TensorBoardLogger.jl:1 in expression starting at stdin: in expression starting at /PkgEval.jl/scripts/precompile.jl:37 Precompilation failed after 756.75s ################################################################################ # Testing # Testing SymbolicRegression Status `/tmp/jl_M8kYKx/Project.toml` [4c88cf16] Aqua v0.8.13 ⌃ [8ce10254] Bumper v0.6.0 [34da2185] Compat v4.16.0 ⌅ [a0c0ee7d] DifferentiationInterface v0.6.54 [8d63f2c5] DispatchDoctor v0.4.19 [a40a106e] DynamicExpressions v1.10.2 [06fc5a27] DynamicQuantities v1.8.0 [f6369f11] ForwardDiff v1.0.1 [0f8b85d8] JSON3 v1.14.3 [d3d80556] LineSearches v7.3.0 [e6f89c97] LoggingExtras v1.1.0 [bdcacae8] LoopVectorization v0.12.172 [a7f614a8] MLJBase v1.8.1 [e80e1ace] MLJModelInterface v1.11.1 [72560011] MLJTestInterface v0.2.8 [429524aa] Optim v1.12.0 [1bc83da4] SafeTestsets v0.1.0 [fd094767] Suppressor v0.2.8 [8254be44] SymbolicRegression v1.11.1 [d1185830] SymbolicUtils v3.29.0 [899adc3e] TensorBoardLogger v0.1.25 [f8b46487] TestItemRunner v1.1.0 [1c621080] TestItems v1.0.0 [e88e6eb3] Zygote v0.7.9 [8ba89e20] Distributed v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [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_M8kYKx/Manifest.toml` [47edcb42] ADTypes v1.14.0 [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 v0.8.13 [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 v1.72.4 [d360d2e6] ChainRulesCore v1.25.1 [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 v4.16.0 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [187b0558] ConstructionBase v1.5.8 [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 v0.6.54 [8d63f2c5] DispatchDoctor v0.4.19 [31c24e10] Distributions v0.25.120 [ffbed154] DocStringExtensions v0.9.5 [7317a516] DynamicDiff v0.2.1 [a40a106e] DynamicExpressions v1.10.2 [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 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v0.12.172 [30fc2ffe] LossFunctions v1.0.1 [c2834f40] MLCore v1.0.0 [a7f614a8] MLJBase v1.8.1 [e80e1ace] MLJModelInterface v1.11.1 [72560011] MLJTestInterface v0.2.8 [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 v0.9.30 [77ba4419] NaNMath v1.1.3 [71a1bf82] NameResolution v0.1.5 [6fe1bfb0] OffsetArrays v1.17.0 [429524aa] Optim v1.12.0 [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 v3.1.0 [30f210dd] ScientificTypesBase v3.0.0 [7e506255] ScopedValues v1.3.0 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [699a6c99] SimpleTraits v0.9.4 [a2af1166] SortingAlgorithms v1.2.1 [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 v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [c062fc1d] StatisticalMeasuresBase v0.1.2 [64bff920] StatisticalTraits v3.4.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.5 [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 v0.3.40 [8254be44] SymbolicRegression v1.11.1 [d1185830] SymbolicUtils v3.29.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [ed4db957] TaskLocalValues v0.1.2 [899adc3e] TensorBoardLogger v0.1.25 [62fd8b95] TensorCore v0.1.1 [8ea1fca8] TermInterface v2.0.0 [f8b46487] TestItemRunner v1.1.0 [1c621080] TestItems v1.0.0 [8290d209] ThreadingUtilities v0.5.4 [a759f4b9] TimerOutputs v0.5.29 [28d57a85] Transducers v0.4.84 [410a4b4d] Tricks v0.1.10 [3a884ed6] UnPack v1.0.2 [a7c27f48] Unityper v0.1.6 [013be700] UnsafeAtomics v0.3.0 [3d5dd08c] VectorizationBase v0.21.71 [897b6980] WeakValueDicts v0.1.0 [e88e6eb3] Zygote v0.7.9 [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 v1.12.0 [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 v8.12.1+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 v3.5.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.12.0+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... Precompiling packages... 13070.6 ms ✓ ChainRules 66632.1 ms ✓ Zygote 2 dependencies successfully precompiled in 81 seconds. 64 already precompiled. Precompiling packages... 2045.8 ms ✓ ArrayInterface → ArrayInterfaceChainRulesExt 1 dependency successfully precompiled in 2 seconds. 40 already precompiled. Precompiling packages... 8326.8 ms ✓ DynamicExpressions → DynamicExpressionsZygoteExt 1 dependency successfully precompiled in 9 seconds. 71 already precompiled. Precompiling packages... 6062.9 ms ✓ DifferentiationInterface → DifferentiationInterfaceZygoteExt 1 dependency successfully precompiled in 7 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"##282" ~/.julia/packages/SymbolicRegression/MdISO/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 WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in foreach(Any, Any) at abstractarray.jl Precompiling packages... Info Given DynamicExpressionsLoopVectorizationExt was explicitly requested, output will be shown live  WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in foreach(Any, Any) at abstractarray.jl 15761.7 ms ✓ DynamicExpressions → DynamicExpressionsLoopVectorizationExt 1 dependency successfully precompiled in 18 seconds. 46 already precompiled. 1 dependency had output during precompilation: ┌ DynamicExpressions → DynamicExpressionsLoopVectorizationExt │ [Output was shown above] └ Precompiling packages... 1500.3 ms ✓ ColorVectorSpace → SpecialFunctionsExt Info Given SpecialFunctionsExt was explicitly requested, output will be shown live  WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in foreach(Any, Any) at abstractarray.jl 4928.1 ms ✓ LoopVectorization → SpecialFunctionsExt 2 dependencies successfully precompiled in 7 seconds. 50 already precompiled. 1 dependency had output during precompilation: ┌ LoopVectorization → SpecialFunctionsExt │ [Output was shown above] └ Precompiling packages... Info Given ForwardDiffExt was explicitly requested, output will be shown live  WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in foreach(Any, Any) at abstractarray.jl 6485.6 ms ✓ LoopVectorization → ForwardDiffExt 1 dependency successfully precompiled in 7 seconds. 57 already precompiled. 1 dependency had output during precompilation: ┌ LoopVectorization → ForwardDiffExt │ [Output was shown above] └ Turbo mode matches regular mode: Test Failed at /home/pkgeval/.julia/packages/SymbolicRegression/MdISO/test/test_operators.jl:220 Expression: y ≈ y_turbo && eval_warnings == "" Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:730 [inlined] [2] test_part(tree::DynamicExpressions.NodeModule.Node{Float32}, Xpart::Matrix{Float32}, options::SymbolicRegression.CoreModule.OptionsStructModule.Options{SymbolicRegression.CoreModule.OptionsStructModule.ComplexityMapping{Int64, Int64}, DynamicExpressions.OperatorEnumModule.OperatorEnum, DynamicExpressions.NodeModule.Node, DynamicExpressions.ExpressionModule.Expression, @NamedTuple{}, SymbolicRegression.CoreModule.MutationWeightsModule.MutationWeights, false, false, nothing, Nothing, 5}) @ Main.var"##305" ~/.julia/packages/SymbolicRegression/MdISO/test/test_operators.jl:220 ┌ Error: Exception while generating log record in module Main.var"##305" at /home/pkgeval/.julia/packages/SymbolicRegression/MdISO/test/test_operators.jl:221 │ exception = │ UndefVarError: `T` not defined in `Main.var"##305"` │ Suggestion: check for spelling errors or missing imports. │ Stacktrace: │ [1] macro expansion │ @ ./logging/logging.jl:385 [inlined] │ [2] (::Main.var"##305".var"#test_part##2#test_part##3"{DynamicExpressions.NodeModule.Node{Float32}, String, Vector{Float32}})() │ @ Main.var"##305" ~/.julia/packages/SymbolicRegression/MdISO/test/test_operators.jl:221 │ [3] test_info(f::Main.var"##305".var"#test_part##2#test_part##3"{DynamicExpressions.NodeModule.Node{Float32}, String, Vector{Float32}}, ::Test.Fail) │ @ Main.var"##305" ~/.julia/packages/SymbolicRegression/MdISO/test/test_params.jl:74 │ [4] test_part(tree::DynamicExpressions.NodeModule.Node{Float32}, Xpart::Matrix{Float32}, options::SymbolicRegression.CoreModule.OptionsStructModule.Options{SymbolicRegression.CoreModule.OptionsStructModule.ComplexityMapping{Int64, Int64}, DynamicExpressions.OperatorEnumModule.OperatorEnum, DynamicExpressions.NodeModule.Node, DynamicExpressions.ExpressionModule.Expression, @NamedTuple{}, SymbolicRegression.CoreModule.MutationWeightsModule.MutationWeights, false, false, nothing, Nothing, 5}) │ @ Main.var"##305" ~/.julia/packages/SymbolicRegression/MdISO/test/test_operators.jl:220 │ [5] top-level scope │ @ ~/.julia/packages/SymbolicRegression/MdISO/test/test_operators.jl:237 │ [6] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [7] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) │ @ Base ./loading.jl:2846 │ [8] include_string(m::Module, txt::String, fname::String) │ @ Base ./loading.jl:2856 │ [9] #run_testitem##6 │ @ ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:118 [inlined] │ [10] withpath(f::TestItemRunner.var"#run_testitem##6#run_testitem##7"{String, String, Module}, path::String) │ @ TestItemRunner ~/.julia/packages/TestItemRunner/Q6zqe/src/vendored_code.jl:7 │ [11] #run_testitem##4 │ @ ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:117 [inlined] │ [12] cd(f::TestItemRunner.var"#run_testitem##4#run_testitem##5"{String, String, Module}, dir::String) │ @ Base.Filesystem ./file.jl:112 │ [13] run_testitem(filepath::String, use_default_usings::Bool, setups::Vector{Symbol}, package_name::String, original_code::String, line::Int64, column::Int64, test_setup_module_set::TestItemRunner.TestSetupModuleSet, testsetups::Dict{Symbol, Any}) │ @ TestItemRunner ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:116 │ [14] run_tests(path::String; filter::var"#4#5"{Vector{SubString{String}}}, verbose::Bool) │ @ TestItemRunner ~/.julia/packages/TestItemRunner/Q6zqe/src/TestItemRunner.jl:221 │ [15] top-level scope │ @ ~/.julia/packages/SymbolicRegression/MdISO/test/runtests.jl:15 │ [16] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [17] top-level scope │ @ ~/.julia/packages/SymbolicRegression/MdISO/test/runtests.jl:15 │ [18] include(mapexpr::Function, mod::Module, _path::String) │ @ Base ./Base.jl:310 │ [19] top-level scope │ @ none:6 │ [20] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [21] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:290 │ [22] _start() │ @ Base ./client.jl:557 └ @ Main.var"##305" ~/.julia/packages/SymbolicRegression/MdISO/test/test_operators.jl:221 ┌ Warning: The `loss_type` keyword argument is deprecated. Pass as an argument instead. │ caller = Dataset at Dataset.jl:131 [inlined] └ @ Core ~/.julia/packages/SymbolicRegression/MdISO/src/Dataset.jl:131 ┌ Warning: Passing `num_features` as an argument is deprecated, pass it explicitly as a keyword argument instead │ caller = #_#1 at TemplateExpression.jl:118 [inlined] └ @ Core ~/.julia/packages/SymbolicRegression/MdISO/src/TemplateExpression.jl:118 Testing ExpressionInterface is implemented for SymbolicRegression.TemplateExpressionModule.TemplateExpression Mandatory components get_contents: extracts the runtime contents of an expression [true] get_metadata: extracts the runtime metadata of an expression [true] get_tree: extracts the expression tree from [`AbstractExpression`](@ref) [true] get_operators: returns the operators used in the expression (or pass `operators` explicitly to override) [true] get_variable_names: returns the variable names used in the expression (or pass `variable_names` explicitly to override) [true] copy: returns a copy of the expression [true] with_contents: returns the expression with different tree [true] with_metadata: returns the expression with different metadata [true] Optional components copy_into!: copies an expression into a preallocated container [true] count_nodes: counts the number of nodes in the expression tree [true] count_constant_nodes: counts the number of constant nodes in the expression tree [true] count_depth: calculates the depth of the expression tree [true] index_constant_nodes: indexes constants in the expression tree [true] has_operators: checks if the expression has operators [true] has_constants: checks if the expression has constants [true] get_scalar_constants: gets constants from the expression tree, returning a tuple of: (1) a flat vector of the constants, and (2) an reference object that can be used by `set_scalar_constants!` to efficiently set them back [true] set_scalar_constants!: sets constants in the expression tree, given: (1) a flat vector of constants, (2) the expression, and (3) the reference object produced by `get_scalar_constants` [true] string_tree: returns a string representation of the expression tree [true] default_node_type: returns the default node type for the expression [true] constructorof: gets the constructor function for a type [true] tree_mapreduce: applies a function across the tree [true] Precompiling packages... Info Given Bumper was explicitly requested, output will be shown live  WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in foreach(Any, Any) at abstractarray.jl 1591.9 ms ✓ Bumper 1 dependency successfully precompiled in 2 seconds. 22 already precompiled. 1 dependency had output during precompilation: ┌ Bumper │ [Output was shown above] └ Precompiling packages... Info Given DynamicExpressionsBumperExt was explicitly requested, output will be shown live  WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in foreach(Any, Any) at abstractarray.jl 3311.7 ms ✓ DynamicExpressions → DynamicExpressionsBumperExt 1 dependency successfully precompiled in 4 seconds. 31 already precompiled. 1 dependency had output during precompilation: ┌ DynamicExpressions → DynamicExpressionsBumperExt │ [Output was shown above] └ ┌ Warning: The `optimizer_algorithm` argument should be an `AbstractOptimizer`, not a string. │ caller = test_mixed(i::Int64, batching::Bool, weighted::Bool, parallelism::Symbol) at test_mixed_utils.jl:54 └ @ Core ~/.julia/packages/SymbolicRegression/MdISO/test/test_mixed_utils.jl:54 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 2 5.666e-01 0.000e+00 y = cos(x₄) 4 0.000e+00 5.164e+01 y = cos(x₄) * 2 ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_8ZlYhW/20250610_213739_TqHSVP/hall_of_fame.csv Passed. ┌ Warning: The `optimizer_algorithm` argument should be an `AbstractOptimizer`, not a string. │ caller = test_mixed(i::Int64, batching::Bool, weighted::Bool, parallelism::Symbol) at test_mixed_utils.jl:54 └ @ Core ~/.julia/packages/SymbolicRegression/MdISO/test/test_mixed_utils.jl:54 [ Info: Automatically setting `--heap-size-hint=15475M` on each Julia process. You can configure this with the `heap_size_hint_in_bytes` parameter. [ Info: Importing SymbolicRegression on workers as well as extensions Bumper, LoopVectorization, Zygote. From worker 3: WARNING: llvmcall with integer pointers is deprecated. From worker 3: Use actual pointers instead, replacing i32 or i64 with i8* or ptr From worker 3: in foreach(Any, Any) at abstractarray.jl From worker 2: WARNING: llvmcall with integer pointers is deprecated. From worker 2: Use actual pointers instead, replacing i32 or i64 with i8* or ptr From worker 2: in foreach(Any, Any) at abstractarray.jl [ Info: Finished! [ Info: Testing module on workers... [ Info: Finished! [ Info: Testing entire pipeline on workers... [ Info: Finished! [ Info: Started! Expressions evaluated per second: 0.000e+00 Progress: 0 / 160 total iterations (0.000%) ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 1 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 2 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Press 'q' and then to stop execution early. Expressions evaluated per second: 0.000e+00 Progress: 0 / 160 total iterations (0.000%) ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 1 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 2 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Press 'q' and then to stop execution early. Expressions evaluated per second: 0.000e+00 Progress: 0 / 160 total iterations (0.000%) ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 1 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 2 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Press 'q' and then to stop execution early. Expressions evaluated per second: 0.000e+00 Progress: 0 / 160 total iterations (0.000%) ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 1 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 2 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Press 'q' and then to stop execution early. Expressions evaluated per second: 0.000e+00 Progress: 0 / 160 total iterations (0.000%) ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 1 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 2 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Press 'q' and then to stop execution early. Expressions evaluated per second: 0.000e+00 Progress: 0 / 160 total iterations (0.000%) ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 1 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 2 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Press 'q' and then to stop execution early. Expressions evaluated per second: 5.770e+02 Progress: 1 / 160 total iterations (0.625%) ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 1 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 2 5.879e-01 0.000e+00 y₁ = cos(x₄) 4 2.679e-01 3.930e-01 y₁ = cos(x₄) + 0.39529 5 0.000e+00 1.033e+02 y₁ = cos(x₄) + cos(x₄) ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Best equations for output 2 ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Press 'q' and then to stop execution early. UNHANDLED TASK ERROR: Distributed.ProcessExitedException(2) Stacktrace: [1] try_yieldto(undo::typeof(Base.ensure_rescheduled)) @ Base ./task.jl:1128 [2] wait() @ Base ./task.jl:1216 [3] wait(c::Base.GenericCondition{ReentrantLock}; first::Bool) @ Base ./condition.jl:141 [4] wait @ ./condition.jl:136 [inlined] [5] take_buffered(c::Channel{Any}) @ Base ./channels.jl:532 [6] take!(c::Channel{Any}) @ Base ./channels.jl:526 [7] take!(::Distributed.RemoteValue) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:726 [8] remotecall_fetch(f::Function, w::Distributed.Worker, args::Distributed.RRID; kwargs::@Kwargs{}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:461 [9] remotecall_fetch(f::Function, w::Distributed.Worker, args::Distributed.RRID) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:454 [10] remotecall_fetch @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:492 [inlined] [11] call_on_owner @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:565 [inlined] [12] fetch(r::Distributed.Future) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:619 [13] (::SymbolicRegression.var"#_main_search_loop!##8#_main_search_loop!##9"{SymbolicRegression.SearchUtilsModule.SearchState{Float32, Float32, DynamicExpressions.ExpressionModule.Expression{Float32, DynamicExpressions.NodeModule.Node{Float32}, @NamedTuple{operators::Nothing, variable_names::Nothing}}, Distributed.Future, Distributed.RemoteChannel}, Int64, Int64})() @ SymbolicRegression ~/.julia/packages/SymbolicRegression/MdISO/src/SymbolicRegression.jl:976 UNHANDLED TASK ERROR: Distributed.ProcessExitedException(2) Stacktrace: [1] try_yieldto(undo::typeof(Base.ensure_rescheduled)) @ Base ./task.jl:1128 [2] wait() @ Base ./task.jl:1216 [3] wait(c::Base.GenericCondition{ReentrantLock}; first::Bool) @ Base ./condition.jl:141 [4] wait @ ./condition.jl:136 [inlined] [5] take_buffered(c::Channel{Any}) @ Base ./channels.jl:532 [6] take!(c::Channel{Any}) @ Base ./channels.jl:526 [7] take!(::Distributed.RemoteValue) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:726 [8] remotecall_fetch(f::Function, w::Distributed.Worker, args::Distributed.RRID; kwargs::@Kwargs{}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:461 [9] remotecall_fetch(f::Function, w::Distributed.Worker, args::Distributed.RRID) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:454 [10] remotecall_fetch @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:492 [inlined] [11] call_on_owner @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:565 [inlined] [12] fetch(r::Distributed.Future) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:619 [13] (::SymbolicRegression.var"#_main_search_loop!##8#_main_search_loop!##9"{SymbolicRegression.SearchUtilsModule.SearchState{Float32, Float32, DynamicExpressions.ExpressionModule.Expression{Float32, DynamicExpressions.NodeModule.Node{Float32}, @NamedTuple{operators::Nothing, variable_names::Nothing}}, Distributed.Future, Distributed.RemoteChannel}, Int64, Int64})() @ SymbolicRegression ~/.julia/packages/SymbolicRegression/MdISO/src/SymbolicRegression.jl:976 UNHANDLED TASK ERROR: Distributed.ProcessExitedException(2) Stacktrace: [1] try_yieldto(undo::typeof(Base.ensure_rescheduled)) @ Base ./task.jl:1128 [2] wait() @ Base ./task.jl:1216 [3] wait(c::Base.GenericCondition{ReentrantLock}; first::Bool) @ Base ./condition.jl:141 [4] wait @ ./condition.jl:136 [inlined] [5] take_buffered(c::Channel{Any}) @ Base ./channels.jl:532 [6] take!(c::Channel{Any}) @ Base ./channels.jl:526 [7] take!(::Distributed.RemoteValue) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:726 [8] remotecall_fetch(f::Function, w::Distributed.Worker, args::Distributed.RRID; kwargs::@Kwargs{}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:461 [9] remotecall_fetch(f::Function, w::Distributed.Worker, args::Distributed.RRID) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:454 [10] remotecall_fetch @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:492 [inlined] [11] call_on_owner @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:565 [inlined] [12] fetch(r::Distributed.Future) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:619 [13] (::SymbolicRegression.var"#_main_search_loop!##8#_main_search_loop!##9"{SymbolicRegression.SearchUtilsModule.SearchState{Float32, Float32, DynamicExpressions.ExpressionModule.Expression{Float32, DynamicExpressions.NodeModule.Node{Float32}, @NamedTuple{operators::Nothing, variable_names::Nothing}}, Distributed.Future, Distributed.RemoteChannel}, Int64, Int64})() @ SymbolicRegression ~/.julia/packages/SymbolicRegression/MdISO/src/SymbolicRegression.jl:976 UNHANDLED TASK ERROR: Distributed.ProcessExitedException(3) Stacktrace: [1] try_yieldto(undo::typeof(Base.ensure_rescheduled)) @ Base ./task.jl:1128 [2] wait() @ Base ./task.jl:1216 [3] wait(c::Base.GenericCondition{ReentrantLock}; first::Bool) @ Base ./condition.jl:141 [4] wait @ ./condition.jl:136 [inlined] [5] take_buffered(c::Channel{Any}) @ Base ./channels.jl:532 [6] take!(c::Channel{Any}) @ Base ./channels.jl:526 [7] take!(::Distributed.RemoteValue) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:726 [8] remotecall_fetch(f::Function, w::Distributed.Worker, args::Distributed.RRID; kwargs::@Kwargs{}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:461 [9] remotecall_fetch(f::Function, w::Distributed.Worker, args::Distributed.RRID) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:454 [10] remotecall_fetch @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:492 [inlined] [11] call_on_owner @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:565 [inlined] [12] fetch(r::Distributed.Future) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:619 [13] (::SymbolicRegression.var"#_main_search_loop!##0#_main_search_loop!##1"{SymbolicRegression.SearchUtilsModule.SearchState{Float32, Float32, DynamicExpressions.ExpressionModule.Expression{Float32, DynamicExpressions.NodeModule.Node{Float32}, @NamedTuple{operators::Nothing, variable_names::Nothing}}, Distributed.Future, Distributed.RemoteChannel}, Int64, Int64})() @ SymbolicRegression ~/.julia/packages/SymbolicRegression/MdISO/src/SymbolicRegression.jl:848 UNHANDLED TASK ERROR: Distributed.ProcessExitedException(3) Stacktrace: [1] try_yieldto(undo::typeof(Base.ensure_rescheduled)) @ Base ./task.jl:1128 [2] wait() @ Base ./task.jl:1216 [3] wait(c::Base.GenericCondition{ReentrantLock}; first::Bool) @ Base ./condition.jl:141 [4] wait @ ./condition.jl:136 [inlined] [5] take_buffered(c::Channel{Any}) @ Base ./channels.jl:532 [6] take!(c::Channel{Any}) @ Base ./channels.jl:526 [7] take!(::Distributed.RemoteValue) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:726 [8] remotecall_fetch(f::Function, w::Distributed.Worker, args::Distributed.RRID; kwargs::@Kwargs{}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:461 [9] remotecall_fetch(f::Function, w::Distributed.Worker, args::Distributed.RRID) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:454 [10] remotecall_fetch @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:492 [inlined] [11] call_on_owner @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:565 [inlined] [12] fetch(r::Distributed.Future) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:619 [13] (::SymbolicRegression.var"#_main_search_loop!##0#_main_search_loop!##1"{SymbolicRegression.SearchUtilsModule.SearchState{Float32, Float32, DynamicExpressions.ExpressionModule.Expression{Float32, DynamicExpressions.NodeModule.Node{Float32}, @NamedTuple{operators::Nothing, variable_names::Nothing}}, Distributed.Future, Distributed.RemoteChannel}, Int64, Int64})() @ SymbolicRegression ~/.julia/packages/SymbolicRegression/MdISO/src/SymbolicRegression.jl:848 UNHANDLED TASK ERROR: Distributed.ProcessExitedException(3) Stacktrace: [1] try_yieldto(undo::typeof(Base.ensure_rescheduled)) @ Base ./task.jl:1128 [2] wait() @ Base ./task.jl:1216 [3] wait(c::Base.GenericCondition{ReentrantLock}; first::Bool) @ Base ./condition.jl:141 [4] wait @ ./condition.jl:136 [inlined] [5] take_buffered(c::Channel{Any}) @ Base ./channels.jl:532 [6] take!(c::Channel{Any}) @ Base ./channels.jl:526 [7] take!(::Distributed.RemoteValue) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:726 [8] remotecall_fetch(f::Function, w::Distributed.Worker, args::Distributed.RRID; kwargs::@Kwargs{}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:461 [9] remotecall_fetch(f::Function, w::Distributed.Worker, args::Distributed.RRID) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:454 [10] remotecall_fetch @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:492 [inlined] [11] call_on_owner @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:565 [inlined] [12] fetch(r::Distributed.Future) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:619 [13] (::SymbolicRegression.var"#_main_search_loop!##8#_main_search_loop!##9"{SymbolicRegression.SearchUtilsModule.SearchState{Float32, Float32, DynamicExpressions.ExpressionModule.Expression{Float32, DynamicExpressions.NodeModule.Node{Float32}, @NamedTuple{operators::Nothing, variable_names::Nothing}}, Distributed.Future, Distributed.RemoteChannel}, Int64, Int64})() @ SymbolicRegression ~/.julia/packages/SymbolicRegression/MdISO/src/SymbolicRegression.jl:976 UNHANDLED TASK ERROR: Distributed.ProcessExitedException(3) Stacktrace: [1] try_yieldto(undo::typeof(Base.ensure_rescheduled)) @ Base ./task.jl:1128 [2] wait() @ Base ./task.jl:1216 [3] wait(c::Base.GenericCondition{ReentrantLock}; first::Bool) @ Base ./condition.jl:141 [4] wait @ ./condition.jl:136 [inlined] [5] take_buffered(c::Channel{Any}) @ Base ./channels.jl:532 [6] take!(c::Channel{Any}) @ Base ./channels.jl:526 [7] take!(::Distributed.RemoteValue) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:726 [8] remotecall_fetch(f::Function, w::Distributed.Worker, args::Distributed.RRID; kwargs::@Kwargs{}) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:461 [9] remotecall_fetch(f::Function, w::Distributed.Worker, args::Distributed.RRID) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:454 [10] remotecall_fetch @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:492 [inlined] [11] call_on_owner @ /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:565 [inlined] [12] fetch(r::Distributed.Future) @ Distributed /opt/julia/share/julia/stdlib/v1.13/Distributed/src/remotecall.jl:619 [13] (::SymbolicRegression.var"#_main_search_loop!##0#_main_search_loop!##1"{SymbolicRegression.SearchUtilsModule.SearchState{Float32, Float32, DynamicExpressions.ExpressionModule.Expression{Float32, DynamicExpressions.NodeModule.Node{Float32}, @NamedTuple{operators::Nothing, variable_names::Nothing}}, Distributed.Future, Distributed.RemoteChannel}, Int64, Int64})() @ SymbolicRegression ~/.julia/packages/SymbolicRegression/MdISO/src/SymbolicRegression.jl:848 [ Info: Final populations: [ Info: Output 1: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 2 5.879e-01 0.000e+00 y₁ = cos(x₄) 4 2.263e-01 4.773e-01 y₁ = cos(x₄) + 0.56583 5 0.000e+00 1.033e+02 y₁ = cos(x₄) + cos(x₄) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Output 2: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 9.111e-01 0.000e+00 y₂ = 1.0992 2 5.879e-01 4.382e-01 y₂ = cos(x₄) 4 2.552e-01 4.172e-01 y₂ = cos(x₄) + 0.77627 5 0.000e+00 1.033e+02 y₂ = cos(x₄) + cos(x₄) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_NKKnzP/20250610_213848_p4R5F7/hall_of_fame_output1.csv - /tmp/jl_NKKnzP/20250610_213848_p4R5F7/hall_of_fame_output2.csv Passed. ┌ Warning: The `optimizer_algorithm` argument should be an `AbstractOptimizer`, not a string. │ caller = test_mixed(i::Int64, batching::Bool, weighted::Bool, parallelism::Symbol) at test_mixed_utils.jl:54 └ @ Core ~/.julia/packages/SymbolicRegression/MdISO/test/test_mixed_utils.jl:54 ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/MdISO/src/Configure.jl:69 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 9.004e-01 0.000e+00 y = 1.3536 2 5.666e-01 4.633e-01 y = cos(x₄) 4 2.018e-01 5.161e-01 y = 1.4032 * cos(x₄) 5 0.000e+00 1.033e+02 y = cos(x₄) + cos(x₄) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_FX9s0H/20250610_214333_TqHSVP/hall_of_fame.csv Passed. ┌ Warning: The `optimizer_algorithm` argument should be an `AbstractOptimizer`, not a string. │ caller = test_mixed(i::Int64, batching::Bool, weighted::Bool, parallelism::Symbol) at test_mixed_utils.jl:54 └ @ Core ~/.julia/packages/SymbolicRegression/MdISO/test/test_mixed_utils.jl:54 ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/MdISO/src/Configure.jl:69 [ Info: Started! [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 9.221e-01 0.000e+00 y = 1.3536 2 5.879e-01 4.501e-01 y = cos(x₄) 4 2.567e-02 1.566e+00 y = 1.791 * cos(x₄) 5 0.000e+00 1.033e+02 y = cos(x₄) + cos(x₄) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_Zx9fyk/20250610_214343_p4R5F7/hall_of_fame.csv Passed. ┌ Warning: The `optimizer_algorithm` argument should be an `AbstractOptimizer`, not a string. │ caller = test_mixed(i::Int64, batching::Bool, weighted::Bool, parallelism::Symbol) at test_mixed_utils.jl:54 └ @ Core ~/.julia/packages/SymbolicRegression/MdISO/test/test_mixed_utils.jl:54 ┌ Warning: You are using multithreading mode, but only one thread is available. Try starting julia with `--threads=auto`. └ @ SymbolicRegression ~/.julia/packages/SymbolicRegression/MdISO/src/Configure.jl:69 [ Info: Started! Expressions evaluated per second: 0.000e+00 Progress: 0 / 8 total iterations (0.000%) ════════════════════════════════════════════════════════════════════════════════════════════════════ ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation ─────────────────────────────────────────────────────────────────────────────────────────────────── ════════════════════════════════════════════════════════════════════════════════════════════════════ Press 'q' and then to stop execution early. [ Info: Final population: ─────────────────────────────────────────────────────────────────────────────────────────────────── Complexity Loss Score Equation 1 8.975e-01 0.000e+00 y = 1.2002 2 5.874e-01 4.233e-01 y = cos(x₄) 4 7.428e-02 1.034e+00 y = 1.6445 * cos(x₄) 5 0.000e+00 1.664e+01 y = cos(x₄) + cos(x₄) ─────────────────────────────────────────────────────────────────────────────────────────────────── [ Info: Results saved to: - /tmp/jl_Ju7F3o/20250610_214427_p4R5F7/hall_of_fame.csv Passed. [ Info: Automatically setting `--heap-size-hint=15373M` on each Julia process. You can configure this with the `heap_size_hint_in_bytes` parameter. [ Info: Importing SymbolicRegression on workers as well as extensions Bumper, LoopVectorization, Zygote. From worker 5: From worker 5: ====================================================================================== From worker 5: Information request received. A stacktrace will print followed by a 1.0 second profile From worker 5: ====================================================================================== From worker 5: From worker 5: cmd: /opt/julia/bin/julia 201 running 1 of 1 From worker 5: From worker 5: signal (10): User defined signal 1 From worker 5: egal_types at /source/src/builtins.c:174 From worker 5: egal_types at /source/src/builtins.c:185 From worker 5: ijl_types_equal at /source/src/subtype.c:2325 From worker 5: jl_specializations_get_linfo_ at /source/src/gf.c:237 From worker 5: jl_restore_system_image_from_stream_ at /source/src/staticdata.c:4151 From worker 5: jl_restore_package_image_from_stream at /source/src/staticdata.c:4403 From worker 5: ijl_restore_incremental at /source/src/staticdata.c:4485 From worker 5: #_include_from_serialized#868 at ./loading.jl:1274 From worker 5: _include_from_serialized at ./loading.jl:1246 [inlined] From worker 5: #_require_search_from_serialized#884 at ./loading.jl:2088 From worker 5: _require_search_from_serialized at ./loading.jl:1982 From worker 5: jfptr__require_search_from_serialized_24761.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 5: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:3892 From worker 5: __require_prelocked at ./loading.jl:2600 From worker 5: _require_prelocked at ./loading.jl:2466 From worker 5: macro expansion at ./loading.jl:2394 [inlined] From worker 5: macro expansion at ./lock.jl:376 [inlined] From worker 5: __require at ./loading.jl:2359 From worker 5: jfptr___require_53980.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 5: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:3892 From worker 5: jl_apply at /source/src/julia.h:2340 [inlined] From worker 5: jl_f_invoke_in_world at /source/src/builtins.c:896 From worker 5: require at ./loading.jl:2335 [inlined] From worker 5: eval_import_path at ./module.jl:36 [inlined] From worker 5: eval_import_path_all at ./module.jl:60 From worker 5: _eval_using at ./module.jl:137 From worker 5: jfptr__eval_using_42524.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 5: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:3892 From worker 5: jl_apply at /source/src/julia.h:2340 [inlined] From worker 5: do_call at /source/src/interpreter.c:123 From worker 5: eval_value at /source/src/interpreter.c:243 From worker 5: eval_stmt_value at /source/src/interpreter.c:194 [inlined] From worker 5: eval_body at /source/src/interpreter.c:708 From worker 5: jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 From worker 5: jl_toplevel_eval_flex at /source/src/toplevel.c:773 From worker 5: jl_toplevel_eval_flex at /source/src/toplevel.c:713 From worker 5: ijl_toplevel_eval at /source/src/toplevel.c:785 From worker 5: ijl_toplevel_eval_in at /source/src/toplevel.c:830 From worker 5: eval at ./boot.jl:489 From worker 5: jfptr_eval_15805.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 5: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:3892 From worker 5: jl_apply at /source/src/julia.h:2340 [inlined] From worker 5: jl_f_invokelatest at /source/src/builtins.c:877 From worker 5: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:3892 From worker 5: jl_apply at /source/src/julia.h:2340 [inlined] From worker 5: jl_f__apply_iterate at /source/src/builtins.c:864 From worker 5: #handle_msg##8 at /source/usr/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:303 From worker 5: run_work_thunk at /source/usr/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:70 From worker 5: unknown function (ip: 0x6ffc2cd435ab) at (unknown file) From worker 5: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:3892 From worker 5: run_work_thunk at /source/usr/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:79 From worker 5: #schedule_call##2 at /source/usr/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:88 From worker 5: unknown function (ip: 0x6ffc2cd431cf) at (unknown file) From worker 5: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 5: ijl_apply_generic at /source/src/gf.c:3892 From worker 5: jl_apply at /source/src/julia.h:2340 [inlined] From worker 5: start_task at /source/src/task.c:1249 From worker 5: unknown function (ip: (nil)) at (unknown file) From worker 5: From worker 5: ============================================================== From worker 5: Profile collected. A report will print at the next yield point From worker 5: ============================================================== From worker 5: From worker 4: From worker 4: ====================================================================================== From worker 4: Information request received. A stacktrace will print followed by a 1.0 second profile From worker 4: ====================================================================================== From worker 4: From worker 4: cmd: /opt/julia/bin/julia 199 running 1 of 1 From worker 4: From worker 4: signal (10): User defined signal 1 From worker 4: gc_mark_obj8 at /source/src/gc-stock.c:1709 From worker 4: gc_mark_outrefs at /source/src/gc-stock.c:2468 [inlined] From worker 4: gc_mark_loop_serial_ at /source/src/gc-stock.c:2524 From worker 4: gc_mark_loop_serial at /source/src/gc-stock.c:2547 From worker 4: gc_mark_loop at /source/src/gc-stock.c:2735 [inlined] From worker 4: _jl_gc_collect at /source/src/gc-stock.c:3080 From worker 4: ijl_gc_collect at /source/src/gc-stock.c:3489 From worker 4: maybe_collect at /source/src/gc-stock.c:349 [inlined] From worker 4: jl_gc_small_alloc_inner at /source/src/gc-stock.c:725 From worker 4: jl_gc_small_alloc_noinline at /source/src/gc-stock.c:783 [inlined] From worker 4: jl_gc_alloc_ at /source/src/gc-stock.c:797 From worker 4: jl_typemap_alloc at /source/src/typemap.c:1493 From worker 4: jl_method_table_add at /source/src/gf.c:2526 From worker 4: jl_add_methods at /source/src/staticdata_utils.c:686 [inlined] From worker 4: jl_restore_system_image_from_stream_ at /source/src/staticdata.c:4331 From worker 4: jl_restore_package_image_from_stream at /source/src/staticdata.c:4403 From worker 4: ijl_restore_incremental at /source/src/staticdata.c:4485 From worker 4: #_include_from_serialized#868 at ./loading.jl:1274 From worker 4: _include_from_serialized at ./loading.jl:1246 [inlined] From worker 4: #_require_search_from_serialized#884 at ./loading.jl:2088 From worker 4: _require_search_from_serialized at ./loading.jl:1982 From worker 4: jfptr__require_search_from_serialized_24761.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 4: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:3892 From worker 4: __require_prelocked at ./loading.jl:2600 From worker 4: _require_prelocked at ./loading.jl:2466 From worker 4: macro expansion at ./loading.jl:2394 [inlined] From worker 4: macro expansion at ./lock.jl:376 [inlined] From worker 4: __require at ./loading.jl:2359 From worker 4: jfptr___require_53980.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 4: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:3892 From worker 4: jl_apply at /source/src/julia.h:2340 [inlined] From worker 4: jl_f_invoke_in_world at /source/src/builtins.c:896 From worker 4: require at ./loading.jl:2335 [inlined] From worker 4: eval_import_path at ./module.jl:36 [inlined] From worker 4: eval_import_path_all at ./module.jl:60 From worker 4: _eval_using at ./module.jl:137 From worker 4: jfptr__eval_using_42524.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 4: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:3892 From worker 4: jl_apply at /source/src/julia.h:2340 [inlined] From worker 4: do_call at /source/src/interpreter.c:123 From worker 4: eval_value at /source/src/interpreter.c:243 From worker 4: eval_stmt_value at /source/src/interpreter.c:194 [inlined] From worker 4: eval_body at /source/src/interpreter.c:708 From worker 4: jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 From worker 4: jl_toplevel_eval_flex at /source/src/toplevel.c:773 From worker 4: jl_toplevel_eval_flex at /source/src/toplevel.c:713 From worker 4: ijl_toplevel_eval at /source/src/toplevel.c:785 From worker 4: ijl_toplevel_eval_in at /source/src/toplevel.c:830 From worker 4: eval at ./boot.jl:489 From worker 4: jfptr_eval_15805.1 at /opt/julia/lib/julia/sys.so (unknown line) From worker 4: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:3892 From worker 4: jl_apply at /source/src/julia.h:2340 [inlined] From worker 4: jl_f_invokelatest at /source/src/builtins.c:877 From worker 4: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:3892 From worker 4: jl_apply at /source/src/julia.h:2340 [inlined] From worker 4: jl_f__apply_iterate at /source/src/builtins.c:864 From worker 4: #handle_msg##8 at /source/usr/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:303 From worker 4: run_work_thunk at /source/usr/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:70 From worker 4: unknown function (ip: 0x7b370113defb) at (unknown file) From worker 4: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:3892 From worker 4: run_work_thunk at /source/usr/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:79 From worker 4: #schedule_call##2 at /source/usr/share/julia/stdlib/v1.13/Distributed/src/process_messages.jl:88 From worker 4: unknown function (ip: 0x7b370113dc1f) at (unknown file) From worker 4: _jl_invoke at /source/src/gf.c:3692 [inlined] From worker 4: ijl_apply_generic at /source/src/gf.c:3892 From worker 4: jl_apply at /source/src/julia.h:2340 [inlined] From worker 4: start_task at /source/src/task.c:1249 From worker 4: unknown function (ip: (nil)) at (unknown file) From worker 4: From worker 4: ============================================================== From worker 4: Profile collected. A report will print at the next yield point From worker 4: ============================================================== From worker 4: From worker 5: WARNING: llvmcall with integer pointers is deprecated. From worker 5: Use actual pointers instead, replacing i32 or i64 with i8* or ptr From worker 5: in foreach(Any, Any) at abstractarray.jl From worker 4: WARNING: llvmcall with integer pointers is deprecated. From worker 4: Use actual pointers instead, replacing i32 or i64 with i8* or ptr From worker 4: in foreach(Any, Any) at abstractarray.jl ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 143 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:1213 wait_forever at ./task.jl:1150 jfptr_wait_forever_48494.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2340 [inlined] start_task at /source/src/task.c:1249 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:1213 wait_forever at ./task.jl:1150 jfptr_wait_forever_48494.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 jl_apply at /source/src/julia.h:2340 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== [ Info: Finished! ┌ 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 0x000078d857611ff0 Total snapshots: 138. Utilization: 0% ╎138 @Base/task.jl:1150 wait_forever() 137╎ 138 @Base/task.jl:1213 wait() [143] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/SymbolicRegression/MdISO/test/test_mixed.jl:38 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:1213 wait_forever at ./task.jl:1150 jfptr_wait_forever_48494.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3692 [inlined] ijl_apply_generic at /source/src/gf.c:3892 PkgEval terminated after 2749.91s: test duration exceeded the time limit