Package evaluation to test ConformalPrediction on Julia 1.11.8 (29b3528cce*) started at 2026-01-20T19:21:05.297 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.11` Set-up completed after 9.08s ################################################################################ # Installation # Installing ConformalPrediction... Resolving package versions... Updating `~/.julia/environments/v1.11/Project.toml` [98bfc277] + ConformalPrediction v0.1.13 Updating `~/.julia/environments/v1.11/Manifest.toml` [47edcb42] + ADTypes v1.21.0 [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.43 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [4fba245c] + ArrayInterface v7.22.0 [a9b6321e] + Atomix v1.1.2 [fbb218c0] + BSON v0.3.9 [198e06fe] + BangBang v0.4.6 [9718e550] + Baselet v0.1.1 [fa961155] + CEnum v0.5.0 ⌅ [324d7699] + CategoricalArrays v0.10.9 ⌅ [af321ab8] + CategoricalDistributions v0.1.15 [082447d4] + ChainRules v1.72.6 [d360d2e6] + ChainRulesCore v1.26.0 [0b6fb165] + ChunkCodecCore v1.0.1 [4c0bbee4] + ChunkCodecLibZlib v1.0.0 [55437552] + ChunkCodecLibZstd v1.0.0 ⌅ [3da002f7] + ColorTypes v0.11.5 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [ed09eef8] + ComputationalResources v0.3.2 [98bfc277] + ConformalPrediction v0.1.13 [187b0558] + ConstructionBase v1.6.0 [6add18c4] + ContextVariablesX v0.1.3 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.3 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [b429d917] + DensityInterface v0.4.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.14 [31c24e10] + Distributions v0.25.123 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.5 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [5789e2e9] + FileIO v1.17.1 [1a297f60] + FillArrays v1.16.0 [6a86dc24] + FiniteDiff v2.29.0 [53c48c17] + FixedPointNumbers v0.8.5 ⌅ [587475ba] + Flux v0.14.25 [f6369f11] + ForwardDiff v1.3.1 ⌅ [d9f16b24] + Functors v0.4.12 [0c68f7d7] + GPUArrays v11.3.4 [46192b85] + GPUArraysCore v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.28 [7869d1d1] + IRTools v0.4.15 ⌅ [4846b161] + InferOpt v0.6.1 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [42fd0dbc] + IterativeSolvers v0.9.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [033835bb] + JLD2 v0.6.3 [692b3bcd] + JLLWrappers v1.7.1 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.39 [929cbde3] + LLVM v9.4.4 [b964fa9f] + LaTeXStrings v1.4.0 ⌅ [92ad9a40] + LearnAPI v1.0.1 ⌃ [d3d80556] + LineSearches v7.5.1 [7a12625a] + LinearMaps v3.11.4 [2ab3a3ac] + LogExpFunctions v0.3.29 [c2834f40] + MLCore v1.0.0 ⌃ [7e8f7934] + MLDataDevices v1.5.3 ⌃ [a7f614a8] + MLJBase v1.9.2 ⌃ [50ed68f4] + MLJEnsembles v0.4.3 ⌅ [094fc8d1] + MLJFlux v0.5.1 [6ee0df7b] + MLJLinearModels v0.10.1 [e80e1ace] + MLJModelInterface v1.12.1 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.8 [1914dd2f] + MacroTools v0.5.16 [dbeba491] + Metalhead v0.9.6 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 ⌅ [d41bc354] + NLSolversBase v7.10.0 [872c559c] + NNlib v0.9.33 [77ba4419] + NaNMath v1.1.3 [71a1bf82] + NameResolution v0.1.5 [0b1bfda6] + OneHotArrays v0.2.10 ⌅ [429524aa] + Optim v1.13.3 ⌅ [3bd65402] + Optimisers v0.3.4 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.37 [d96e819e] + Parameters v0.12.3 [570af359] + PartialFunctions v1.2.1 [85a6dd25] + PositiveFactorizations v0.2.4 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.5.1 [8162dcfd] + PrettyPrint v0.2.0 ⌅ [08abe8d2] + PrettyTables v2.4.0 [33c8b6b6] + ProgressLogging v0.1.6 [92933f4c] + ProgressMeter v1.11.0 [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 [42d2dcc6] + Referenceables v0.1.3 [97f35ef4] + RequiredInterfaces v0.1.7 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 ⌃ [321657f4] + ScientificTypes v3.1.1 [30f210dd] + ScientificTypesBase v3.0.0 [7e506255] + ScopedValues v1.5.0 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.5 [a2af1166] + SortingAlgorithms v1.2.2 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.6.1 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.16 [1e83bf80] + StaticArraysCore v1.4.4 [c062fc1d] + StatisticalMeasuresBase v0.1.3 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.10 [4c63d2b9] + StatsFuns v1.5.2 [892a3eda] + StringManipulation v0.4.2 [09ab397b] + StructArrays v0.7.2 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [ac1d9e8a] + ThreadsX v0.1.12 [28d57a85] + Transducers v0.4.85 [3a884ed6] + UnPack v1.0.2 [013be700] + UnsafeAtomics v0.3.0 ⌅ [e88e6eb3] + Zygote v0.6.77 [700de1a5] + ZygoteRules v0.2.7 [dad2f222] + LLVMExtra_jll v0.0.38+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [3161d3a3] + Zstd_jll v1.5.7+1 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.11.0 [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 v1.11.0 [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 v1.1.1+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.7.2+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+0 [14a3606d] + MozillaCACerts_jll v2023.12.12 [4536629a] + OpenBLAS_jll v0.3.27+1 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.7.0+0 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.59.0+0 [3f19e933] + p7zip_jll v17.4.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 6.96s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 17286.2 ms ✓ LightGBM 9541.5 ms ✓ KernelFunctions 4911.6 ms ✓ InferOpt 47835.2 ms ✓ StatisticalMeasures 28875.8 ms ✓ MLJModels 16286.1 ms ✓ MLJEnsembles 17621.9 ms ✓ MLJBalancing 19346.4 ms ✓ MLJIteration 16474.2 ms ✓ MLJFlow 25600.9 ms ✓ MLJTuning 105662.5 ms ✓ LaplaceRedux 261010.7 ms ✓ CounterfactualExplanations 53529.5 ms ✓ StatisticalMeasures → ScientificTypesExt 12686.6 ms ✓ MLJBase → DefaultMeasuresExt 133411.6 ms ✓ ConformalPrediction 35342.2 ms ✓ CounterfactualExplanations → DecisionTreeExt 35084.2 ms ✓ CounterfactualExplanations → LaplaceReduxExt 84388.0 ms ✓ MLJ 289077.2 ms ✓ TaijaPlotting 19 dependencies successfully precompiled in 1245 seconds. 451 already precompiled. Precompilation completed after 1258.57s ################################################################################ # Testing # Testing ConformalPrediction ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1924 Status `/tmp/jl_vKbpzd/Project.toml` [4c88cf16] Aqua v0.8.14 [5224ae11] CompatHelperLocal v0.1.27 [98bfc277] ConformalPrediction v0.1.13 [7806a523] DecisionTree v0.12.4 [e30172f5] Documenter v1.16.1 ⌅ [f6006082] EvoTrees v0.16.9 ⌅ [7acf609c] LightGBM v0.7.2 ⌅ [add582a8] MLJ v0.20.9 ⌃ [c6f25543] MLJDecisionTreeInterface v0.4.2 ⌅ [094fc8d1] MLJFlux v0.5.1 [6ee0df7b] MLJLinearModels v0.10.1 [e80e1ace] MLJModelInterface v1.12.1 [636a865e] NearestNeighborModels v0.2.3 [91a5bcdd] Plots v1.41.4 [bd7198b4] TaijaPlotting v1.3.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_vKbpzd/Manifest.toml` [47edcb42] ADTypes v1.21.0 [a4c015fc] ANSIColoredPrinters v0.0.1 ⌃ [da404889] ARFFFiles v1.5.0 [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.14 [dce04be8] ArgCheck v2.5.0 [ec485272] ArnoldiMethod v0.4.0 [7d9fca2a] Arpack v0.5.4 [4fba245c] ArrayInterface v7.22.0 [a9b6321e] Atomix v1.1.2 [fbb218c0] BSON v0.3.9 [198e06fe] BangBang v0.4.6 [9718e550] Baselet v0.1.1 [d1d4a3ce] BitFlags v0.1.9 [fa961155] CEnum v0.5.0 ⌅ [324d7699] CategoricalArrays v0.10.9 ⌅ [af321ab8] CategoricalDistributions v0.1.15 ⌅ [8e462317] CausalInference v0.18.0 [082447d4] ChainRules v1.72.6 [d360d2e6] ChainRulesCore v1.26.0 [0b6fb165] ChunkCodecCore v1.0.1 [4c0bbee4] ChunkCodecLibZlib v1.0.0 [55437552] ChunkCodecLibZstd v1.0.0 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.31.0 ⌅ [3da002f7] ColorTypes v0.11.5 ⌃ [c3611d14] ColorVectorSpace v0.10.0 [5ae59095] Colors v0.13.1 [861a8166] Combinatorics v1.1.0 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 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Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... Precompiling Documenter... 63152.1 ms ✓ Documenter 1 dependency successfully precompiled in 64 seconds. 52 already precompiled. WARNING: Method definition _dummy_backedge() in module Memoization at /home/pkgeval/.julia/packages/Memoization/ON3Za/src/Memoization.jl:49 overwritten at /home/pkgeval/.julia/packages/Memoization/ON3Za/src/Memoization.jl:65. ┌ Warning: Unable to determine HTML(edit_link = ...) from remote HEAD branch, defaulting to "master". │ Calling `git remote` failed with an exception. Set JULIA_DEBUG=Documenter to see the error. │ Unless this is due to a configuration error, the relevant variable should be set explicitly. └ @ Documenter ~/.julia/packages/Documenter/xvqbW/src/utilities/utilities.jl:680 [ Info: SetupBuildDirectory: setting up build directory. [ Info: Doctest: running doctests. [ Info: Skipped ExpandTemplates step (doctest only). [ Info: Skipped CrossReferences step (doctest only). [ Info: Skipped CheckDocument step (doctest only). [ Info: Skipped Populate step (doctest only). [ Info: Skipped RenderDocument step (doctest only). Test Summary: | Pass Total Time Doctests: ConformalPrediction | 1 1 1m07.1s WARNING: using deprecated binding ColorTypes.RGB1 in Colors. , use XRGB instead. WARNING: using deprecated binding Colors.RGB1 in PlotUtils. , use ColorTypes.XRGB{T} where T<:Union{AbstractFloat, FixedPointNumbers.FixedPoint{T, f} where f where T<:Integer} instead. WARNING: PlotUtils.RGB1 is deprecated, use ColorTypes.XRGB{T} where T<:Union{AbstractFloat, FixedPointNumbers.FixedPoint{T, f} where f where T<:Integer} instead. likely near /home/pkgeval/.julia/packages/ConformalPrediction/bz1ka/test/aqua.jl:3 WARNING: using deprecated binding ColorTypes.RGB4 in Colors. , use RGBX instead. WARNING: using deprecated binding Colors.RGB4 in PlotUtils. , use ColorTypes.RGBX{T} where T<:Union{AbstractFloat, FixedPointNumbers.FixedPoint{T, f} where f where T<:Integer} instead. WARNING: PlotUtils.RGB4 is deprecated, use ColorTypes.RGBX{T} where T<:Union{AbstractFloat, FixedPointNumbers.FixedPoint{T, f} where f where T<:Integer} instead. likely near /home/pkgeval/.julia/packages/ConformalPrediction/bz1ka/test/aqua.jl:3 Precompiling MLJ... 2586.7 ms ✓ LatinHypercubeSampling 5252.5 ms ✓ ARFFFiles 3989.4 ms ✓ MLFlowClient 31104.6 ms ✓ MLJModels 17143.0 ms ✓ MLJBalancing 17128.1 ms ✓ MLJIteration 16719.1 ms ✓ MLJTuning 7029.5 ms ✓ OpenML 15034.7 ms ✓ MLJFlow 23691.8 ms ✓ MLJ 10 dependencies successfully precompiled in 145 seconds. 196 already precompiled. Precompiling HTTPExt... 5509.1 ms ✓ FileIO → HTTPExt 1 dependency successfully precompiled in 6 seconds. 43 already precompiled. [ Info: For silent loading, specify `verbosity=0`. import NearestNeighborModels ✔ [ Info: Training machine(AdaptiveInductiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: Training machine(AdaptiveInductiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: Training machine(AdaptiveInductiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: Training machine(NaiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: Training machine(NaiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: Training machine(NaiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: For silent loading, specify `verbosity=0`. import EvoTreesPrecompiling EvoTrees... 14192.8 ms ✓ EvoTrees 1 dependency successfully precompiled in 17 seconds. 87 already precompiled. Precompiling GeometryBasicsExt... 17622.3 ms ✓ Plots → GeometryBasicsExt 1 dependency successfully precompiled in 20 seconds. 181 already precompiled. Precompiling NetworkLayoutGraphsExt... 4270.3 ms ✓ NetworkLayout → NetworkLayoutGraphsExt 1 dependency successfully precompiled in 6 seconds. 48 already precompiled. ✔ ┌ Info: Training machine(AdaptiveInductiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - tree_type: binary │ - rng: Random.MersenneTwister(123) └ , …), …). ┌ Info: Training machine(AdaptiveInductiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 8016, 7014, 286)) └ , …), …). ┌ Info: Training machine(AdaptiveInductiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 15030, 14028, 172)) └ , …), …). ┌ Info: Training machine(NaiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 22044, 21042, 158)) └ , …), …). ┌ Info: Training machine(NaiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 36072, 35070, 30)) └ , …), …). ┌ Info: Training machine(NaiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 49098, 48096, 504)) └ , …), …). ┌ Info: Training machine(SimpleInductiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 63126, 62124, 76)) └ , …), …). ┌ Info: Training machine(SimpleInductiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 160320, 159318, 779)) └ , …), …). ┌ Info: Training machine(SimpleInductiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 167334, 166332, 665)) └ , …), …). [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ [ Info: Training machine(AdaptiveInductiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: Training machine(AdaptiveInductiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: Training machine(AdaptiveInductiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: Training machine(NaiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: Training machine(NaiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: Training machine(NaiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: For silent loading, specify `verbosity=0`. import MLJLinearModels ✔ [ Info: Training machine(AdaptiveInductiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(AdaptiveInductiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(AdaptiveInductiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(NaiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(NaiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(NaiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(SimpleInductiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(SimpleInductiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(SimpleInductiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ [ Info: Training machine(AdaptiveInductiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: Training machine(AdaptiveInductiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: Training machine(AdaptiveInductiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: Training machine(NaiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: Training machine(NaiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: Training machine(NaiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: For silent loading, specify `verbosity=0`. import MLJLinearModels ✔ ┌ Warning: This test is skipped as the method is not suitable for Quantile Regression └ @ Main ~/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:80 [ Info: Training machine(CVPlusRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(CVPlusRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(NaiveRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.Analytical │ iterative: Bool false └ max_inner: Int64 200 [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(NaiveRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.Analytical │ iterative: Bool false └ max_inner: Int64 200 [ Info: Training machine(JackknifePlusAbMinMaxRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifePlusAbMinMaxRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(JackknifePlusAbRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifePlusAbRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(JackknifePlusRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifePlusRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(CVMinMaxRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(CVMinMaxRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(JackknifeRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.Analytical │ iterative: Bool false └ max_inner: Int64 200 [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifeRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.Analytical │ iterative: Bool false └ max_inner: Int64 200 [ Info: Training machine(JackknifeMinMaxRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifeMinMaxRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(TimeSeriesRegressorEnsembleBatch(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(TimeSeriesRegressorEnsembleBatch(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(SimpleInductiveRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.Analytical │ iterative: Bool false └ max_inner: Int64 200 [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(SimpleInductiveRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.Analytical │ iterative: Bool false └ max_inner: Int64 200 [ Info: For silent loading, specify `verbosity=0`. import MLJLinearModels ✔ ┌ Warning: This test is skipped as the method is not suitable for Quantile Regression └ @ Main ~/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:80 [ Info: Training machine(CVPlusRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(CVPlusRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(NaiveRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.ProxGrad │ accel: Bool true │ max_iter: Int64 1000 │ tol: Float64 0.0001 │ max_inner: Int64 100 │ beta: Float64 0.8 └ gram: Bool false [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(NaiveRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.ProxGrad │ accel: Bool true │ max_iter: Int64 1000 │ tol: Float64 0.0001 │ max_inner: Int64 100 │ beta: Float64 0.8 └ gram: Bool false [ Info: Training machine(JackknifePlusAbMinMaxRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifePlusAbMinMaxRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(JackknifePlusAbRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifePlusAbRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(JackknifePlusRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifePlusRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(CVMinMaxRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(CVMinMaxRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(JackknifeRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.ProxGrad │ accel: Bool true │ max_iter: Int64 1000 │ tol: Float64 0.0001 │ max_inner: Int64 100 │ beta: Float64 0.8 └ gram: Bool false [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifeRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.ProxGrad │ accel: Bool true │ max_iter: Int64 1000 │ tol: Float64 0.0001 │ max_inner: Int64 100 │ beta: Float64 0.8 └ gram: Bool false [ Info: Training machine(JackknifeMinMaxRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifeMinMaxRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(TimeSeriesRegressorEnsembleBatch(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(TimeSeriesRegressorEnsembleBatch(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(SimpleInductiveRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.ProxGrad │ accel: Bool true │ max_iter: Int64 1000 │ tol: Float64 0.0001 │ max_inner: Int64 100 │ beta: Float64 0.8 └ gram: Bool false [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(SimpleInductiveRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.ProxGrad │ accel: Bool true │ max_iter: Int64 1000 │ tol: Float64 0.0001 │ max_inner: Int64 100 │ beta: Float64 0.8 └ gram: Bool false [ Info: For silent loading, specify `verbosity=0`. import EvoTrees ✔ ┌ Warning: This test is skipped as the method is not suitable for Quantile Regression └ @ Main ~/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:80 ┌ Info: Training machine(CVPlusRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - rng: Random.MersenneTwister(123) └ , …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. ┌ Info: Training machine(CVPlusRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 43086, 42084, 916)) └ , …), …). ┌ Info: Training machine(NaiveRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 84168, 83166, 435)) └ , …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. ┌ Info: Training machine(NaiveRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 91182, 90180, 721)) └ , …), …). ┌ Info: Training machine(JackknifePlusAbMinMaxRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 98196, 97194, 607)) └ , …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. ┌ Info: Training machine(JackknifePlusAbMinMaxRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 233466, 232464, 341)) └ , …), …). ┌ Info: Training machine(JackknifePlusAbRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 356712, 355710, 101)) └ , …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. ┌ Info: Training machine(JackknifePlusAbRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 490980, 489978, 836)) └ , …), …). ┌ Info: Training machine(JackknifePlusRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 614226, 613224, 593)) └ , …), …). ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 295 running 1 of 1 signal (10): User defined signal 1 macro expansion at ./simdloop.jl:75 [inlined] copyto! at ./broadcast.jl:972 [inlined] copyto! at ./broadcast.jl:925 [inlined] materialize! at ./broadcast.jl:883 [inlined] materialize! at ./broadcast.jl:880 [inlined] update_gains! at /home/pkgeval/.julia/packages/EvoTrees/73o4j/src/fit-utils.jl:319 macro expansion at /home/pkgeval/.julia/packages/EvoTrees/73o4j/src/fit.jl:95 [inlined] #881#threadsfor_fun#157 at ./threadingconstructs.jl:253 #881#threadsfor_fun at ./threadingconstructs.jl:220 [inlined] #1 at ./threadingconstructs.jl:154 unknown function (ip: 0x7a1831f44b3f) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 jl_apply at /source/src/julia.h:2157 [inlined] start_task at /source/src/task.c:1204 unknown function (ip: (nil)) ============================================================== 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:522 poptask at ./task.jl:1012 wait at ./task.jl:1021 #wait#733 at ./condition.jl:130 wait at ./condition.jl:125 [inlined] wait at ./process.jl:694 wait at ./process.jl:687 unknown function (ip: 0x7acad3f717a2) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 subprocess_handler at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2146 #131 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2086 withenv at ./env.jl:265 #118 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1935 with_temp_env at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1793 #116 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1902 #mktempdir#28 at ./file.jl:819 unknown function (ip: 0x7acad3f5cacd) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 mktempdir at ./file.jl:815 mktempdir at ./file.jl:815 [inlined] #sandbox#115 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1849 [inlined] sandbox at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1841 unknown function (ip: 0x7acad3f51056) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 #test#128 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2067 test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2011 [inlined] #test#146 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:481 test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:460 unknown function (ip: 0x7acad3f50d5d) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 #test#77 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:159 unknown function (ip: 0x7acad3f5072d) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:148 #test#75 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined] test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined] #test#74 at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:146 [inlined] test at /source/usr/share/julia/stdlib/v1.11/Pkg/src/API.jl:146 unknown function (ip: 0x7acad3f4cbc6) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 jl_apply at /source/src/julia.h:2157 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:670 eval_body at /source/src/interpreter.c:539 eval_body at /source/src/interpreter.c:539 jl_interpret_toplevel_thunk at /source/src/interpreter.c:824 jl_toplevel_eval_flex at /source/src/toplevel.c:943 jl_toplevel_eval_flex at /source/src/toplevel.c:886 ijl_toplevel_eval_in at /source/src/toplevel.c:994 eval at ./boot.jl:430 [inlined] include_string at ./loading.jl:2777 _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 _include at ./loading.jl:2837 include at ./Base.jl:562 jfptr_include_47030.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 exec_options at ./client.jl:316 _start at ./client.jl:524 jfptr__start_73686.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 jl_apply at /source/src/julia.h:2157 [inlined] true_main at /source/src/jlapi.c:900 jl_repl_entrypoint at /source/src/jlapi.c:1059 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7acad54d8249) __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) unknown function (ip: (nil)) ============================================================== 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/v1.11/Profile/src/Profile.jl:1240 Overhead ╎ [+additional indent] Count File:Line; Function ========================================================= Thread 1 Task 0x00007acac85fc010 Total snapshots: 49. Utilization: 0% ╎49 @Base/client.jl:524; _start() ╎ 49 @Base/client.jl:316; exec_options(opts::Base.JLOptions) ╎ 49 @Base/Base.jl:562; include(mod::Module, _path::String) ╎ 49 @Base/loading.jl:2837; _include(mapexpr::Function, mod::Module, _path:… ╎ 49 @Base/loading.jl:2777; include_string(mapexpr::typeof(identity), mod:… ╎ 49 @Base/boot.jl:430; eval ╎ ╎ 49 @Pkg/src/API.jl:146; kwcall(::@NamedTuple{julia_args::Cmd}, ::typeo… ╎ ╎ 49 @Pkg/src/API.jl:146; #test#74 ╎ ╎ 49 @Pkg/src/API.jl:147; test ╎ ╎ 49 @Pkg/src/API.jl:147; #test#75 ╎ ╎ 49 @Pkg/src/API.jl:148; kwcall(::@NamedTuple{julia_args::Cmd}, ::t… ╎ ╎ ╎ 49 @Pkg/src/API.jl:159; test(pkgs::Vector{Pkg.Types.PackageSpec};… ╎ ╎ ╎ 49 @Pkg/src/API.jl:460; kwcall(::@NamedTuple{julia_args::Cmd, io… ╎ ╎ ╎ 49 @Pkg/src/API.jl:481; test(ctx::Pkg.Types.Context, pkgs::Vect… ╎ ╎ ╎ 49 …src/Operations.jl:2011; test ╎ ╎ ╎ 49 …src/Operations.jl:2067; test(ctx::Pkg.Types.Context, pkgs… ╎ ╎ ╎ ╎ 49 …rc/Operations.jl:1841; kwcall(::@NamedTuple{preferences:… ╎ ╎ ╎ ╎ 49 …rc/Operations.jl:1849; #sandbox#115 ╎ ╎ ╎ ╎ 49 @Base/file.jl:815; mktempdir ╎ ╎ ╎ ╎ 49 @Base/file.jl:815; mktempdir(fn::Function, parent::Str… ╎ ╎ ╎ ╎ 49 @Base/file.jl:819; mktempdir(fn::Pkg.Operations.var"#… ╎ ╎ ╎ ╎ ╎ 49 …/Operations.jl:1902; (::Pkg.Operations.var"#116#121… ╎ ╎ ╎ ╎ ╎ 49 …/Operations.jl:1793; with_temp_env(fn::Pkg.Operati… ╎ ╎ ╎ ╎ ╎ 49 …Operations.jl:1935; (::Pkg.Operations.var"#118#12… ╎ ╎ ╎ ╎ ╎ 49 @Base/env.jl:265; withenv(::Pkg.Operations.var"#1… ╎ ╎ ╎ ╎ ╎ 49 …Operations.jl:2086; (::Pkg.Operations.var"#131#… ╎ ╎ ╎ ╎ ╎ ╎ 49 …perations.jl:2146; subprocess_handler(cmd::Cmd… ╎ ╎ ╎ ╎ ╎ ╎ 49 …e/process.jl:687; wait(x::Base.Process) ╎ ╎ ╎ ╎ ╎ ╎ 49 …e/process.jl:694; wait(x::Base.Process, sync… ╎ ╎ ╎ ╎ ╎ ╎ 49 …ondition.jl:125; wait ╎ ╎ ╎ ╎ ╎ ╎ 49 …ondition.jl:130; wait(c::Base.GenericCondi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 49 …ase/task.jl:1021; wait() 48╎ ╎ ╎ ╎ ╎ ╎ ╎ 49 …ase/task.jl:1012; poptask(W::Base.Intrus… ┌ 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/v1.11/Profile/src/Profile.jl:1240 Overhead ╎ [+additional indent] Count File:Line; Function ========================================================= Thread 1 Task 0x00007a17ba9a5780 Total snapshots: 1. Utilization: 100% ╎1 @Base/task.jl:694; task_done_hook(t::Task) ╎ 1 @Base/task.jl:1022; wait() Task 0x00007a17ba9aa270 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:319; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:880; materialize! ╎ ╎ 1 @Base/broadcast.jl:883; materialize! ╎ ╎ 1 @Base/broadcast.jl:925; copyto! ╎ ╎ 1 @Base/broadcast.jl:972; copyto! ╎ ╎ 1 @Base/simdloop.jl:77; macro expansion ╎ ╎ 1 @Base/broadcast.jl:973; macro expansion ╎ ╎ ╎ 1 …multidimensional.jl:704; setindex! ╎ ╎ ╎ 1 @Base/array.jl:994; setindex! Task 0x00007a185c9fc010 Total snapshots: 142. Utilization: 100% ╎141 @Base/client.jl:524; _start() ╎ 141 @Base/client.jl:289; exec_options(opts::Base.JLOptions) ╎ 141 @Base/boot.jl:430; eval ╎ 141 @Base/sysimg.jl:38; include(fname::String) ╎ 141 @Base/loading.jl:2837; _include(mapexpr::Function, mod::Module, _pat… ╎ 141 @Base/loading.jl:2777; include_string(mapexpr::typeof(identity), mo… ╎ ╎ 141 @Base/boot.jl:430; eval ╎ ╎ 141 @Base/sysimg.jl:38; include(fname::String) ╎ ╎ 141 @Base/loading.jl:2837; _include(mapexpr::Function, mod::Module, … ╎ ╎ 141 @Base/loading.jl:2777; include_string(mapexpr::typeof(identity)… ╎ ╎ 141 @Base/boot.jl:430; eval ╎ ╎ ╎ 141 …/test/regression.jl:23; top-level scope ╎ ╎ ╎ 141 @Test/src/Test.jl:1709; macro expansion ╎ ╎ ╎ 141 …test/regression.jl:26; macro expansion ╎ ╎ ╎ 141 @Test/src/Test.jl:1709; macro expansion ╎ ╎ ╎ 141 …est/regression.jl:30; macro expansion ╎ ╎ ╎ ╎ 141 @Test/src/Test.jl:1709; macro expansion ╎ ╎ ╎ ╎ 141 …st/regression.jl:39; macro expansion ╎ ╎ ╎ ╎ 141 …est/src/Test.jl:1709; macro expansion ╎ ╎ ╎ ╎ 141 …t/regression.jl:43; macro expansion ╎ ╎ ╎ ╎ 141 …src/machines.jl:787; kwcall(::@NamedTuple{rows::Vec… ╎ ╎ ╎ ╎ ╎ 141 …rc/machines.jl:790; #fit!#66 ╎ ╎ ╎ ╎ ╎ 141 …rc/machines.jl:617; fit_only! ╎ ╎ ╎ ╎ ╎ 141 …c/machines.jl:693; fit_only!(mach::Machine{Confo… ╎ ╎ ╎ ╎ ╎ 140 …regression.jl:197; fit(conf_model::ConformalPre… ╎ ╎ ╎ ╎ ╎ 140 …es/src/MLJ.jl:3; fit ╎ ╎ ╎ ╎ ╎ ╎ 5 …es/src/MLJ.jl:7; fit(model::EvoTrees.EvoTreeR… ╎ ╎ ╎ ╎ ╎ ╎ 5 …/src/init.jl:99; init_core(params::EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ 5 …se/array.jl:801; collect(itr::Base.Generato… ╎ ╎ ╎ ╎ ╎ ╎ 5 …se/array.jl:827; collect_to_with_first!(de… ╎ ╎ ╎ ╎ ╎ ╎ 5 …se/array.jl:849; collect_to!(dest::Vector… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …enerator.jl:48; iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 none:0; (::EvoTrees.var"#112#113"{Vector… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …/structs.jl:21; EvoTrees.TrainNode(fea… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:791; collect(itr::Base.Ge… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …enerator.jl:48; iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 none:0; #14 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:584; zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:586; zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:589; zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …/baseext.jl:36; Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 …ase/boot.jl:591; Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 …ase/boot.jl:578; Array 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 …ase/boot.jl:516; GenericMemory ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 …se/array.jl:801; collect(itr::Base.Ge… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 …se/array.jl:827; collect_to_with_fir… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 …se/array.jl:849; collect_to!(dest::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 …enerator.jl:48; iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 none:0; #12 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:584; zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:586; zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 …se/array.jl:589; zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 …/baseext.jl:36; Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 …ase/boot.jl:592; Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 …ase/boot.jl:582; Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 …ase/boot.jl:535; new_as_memoryr… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 1 …ase/boot.jl:516; GenericMemory ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 none:0; #13 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …se/array.jl:584; zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …se/array.jl:586; zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 …se/array.jl:589; zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 …/baseext.jl:36; Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 …ase/boot.jl:592; Array 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 …ase/boot.jl:582; Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 …se/array.jl:590; zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 …se/array.jl:329; fill! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 …se/array.jl:987; setindex! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 none:0; #14 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:584; zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:586; zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 …se/array.jl:590; zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 …se/array.jl:329; fill! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 …se/array.jl:987; setindex! ╎ ╎ ╎ ╎ ╎ ╎ 135 …es/src/MLJ.jl:10; fit(model::EvoTrees.EvoTree… ╎ ╎ ╎ ╎ ╎ ╎ 135 …es/src/fit.jl:9; grow_evotree!(m::EvoTrees.E… ╎ ╎ ╎ ╎ ╎ ╎ 3 …s/src/fit.jl:9; grow_evotree!(m::EvoTrees.E… ╎ ╎ ╎ ╎ ╎ ╎ 3 …/src/loss.jl:3; update_grads! ╎ ╎ ╎ ╎ ╎ ╎ 3 …nstructs.jl:190; macro expansion 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …nstructs.jl:149; threading_run(fun::EvoT… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …nstructs.jl:168; threading_run(fun::EvoT… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …ase/task.jl:328; _wait(t::Task) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …ondition.jl:125; wait ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …ondition.jl:130; wait(c::Base.Generic… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …ase/task.jl:1023; wait() 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …se/libuv.jl:125; process_events ╎ ╎ ╎ ╎ ╎ ╎ 1 …s/src/fit.jl:11; grow_evotree!(m::EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ 1 …ubsample.jl:14; subsample(is_in::Vector{UI… ╎ ╎ ╎ ╎ ╎ ╎ 1 …nstructs.jl:190; macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …nstructs.jl:168; threading_run(fun::EvoT… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:328; _wait(t::Task) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ondition.jl:125; wait ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ondition.jl:130; wait(c::Base.Generic… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:1022; wait() 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:948; try_yieldto(undo::… ╎ ╎ ╎ ╎ ╎ ╎ 4 …s/src/fit.jl:16; grow_evotree!(m::EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ 4 …/structs.jl:55; EvoTrees.Tree{EvoTrees.MSE… ╎ ╎ ╎ ╎ ╎ ╎ 2 …se/array.jl:585; zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:589; zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/boot.jl:591; Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/boot.jl:578; Array 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/boot.jl:516; GenericMemory ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:590; zeros 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:330; fill! ╎ ╎ ╎ ╎ ╎ ╎ 2 …/structs.jl:35; Tree ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …se/array.jl:618; convert ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …se/array.jl:626; Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …actarray.jl:1167; copyto_axcheck! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …se/array.jl:319; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …se/array.jl:294; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …se/array.jl:308; _copyto_impl! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …icmemory.jl:133; unsafe_copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …icmemory.jl:153; unsafe_copyto!(d… 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …sentials.jl:926; setindex! ╎ ╎ ╎ ╎ ╎ ╎ 127 …s/src/fit.jl:18; grow_evotree!(m::EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ 2 …/src/fit.jl:56; grow_tree!(tree::EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ 2 …roadcast.jl:880; materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …roadcast.jl:883; materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …roadcast.jl:933; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …se/array.jl:329; fill! 2╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …se/array.jl:987; setindex! 1╎ ╎ ╎ ╎ ╎ ╎ 1 …/src/fit.jl:58; grow_tree!(tree::EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ 2 …/src/fit.jl:59; grow_tree!(tree::EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ 2 …roadcast.jl:880; materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …roadcast.jl:883; materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …roadcast.jl:933; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:328; fill! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …actarray.jl:378; eachindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …actarray.jl:388; eachindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/range.jl:476; oneto ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/range.jl:474; OneTo ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/range.jl:459; OneTo ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …romotion.jl:650; max 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …sentials.jl:796; ifelse ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:329; fill! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:987; setindex! ╎ ╎ ╎ ╎ ╎ ╎ 8 …/src/fit.jl:60; grow_tree!(tree::EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ 8 …roadcast.jl:880; materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 …roadcast.jl:883; materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 …roadcast.jl:933; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 …se/array.jl:329; fill! 4╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 …se/array.jl:987; setindex! 4╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 …se/array.jl:330; fill! ╎ ╎ ╎ ╎ ╎ ╎ 7 …/src/fit.jl:69; grow_tree!(tree::EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ 7 …educedim.jl:983; sum ╎ ╎ ╎ ╎ ╎ ╎ ╎ 7 …educedim.jl:983; #sum#936 ╎ ╎ ╎ ╎ ╎ ╎ ╎ 7 …educedim.jl:1011; _sum ╎ ╎ ╎ ╎ ╎ ╎ ╎ 7 …educedim.jl:1011; #_sum#962 ╎ ╎ ╎ ╎ ╎ ╎ ╎ 7 …educedim.jl:329; mapreduce ╎ ╎ ╎ ╎ ╎ ╎ ╎ 7 …educedim.jl:329; #mapreduce#928 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 7 …educedim.jl:343; _mapreduce_dim(f::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 7 …educedim.jl:296; mapreducedim!(f::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 7 …educedim.jl:287; _mapreducedim!(f… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …actarray.jl:0; macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 6 …simdloop.jl:77; macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …educedim.jl:288; macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 4 …actarray.jl:1312; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 4 …actarray.jl:1358; _getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 4 …subarray.jl:320; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 4 …actarray.jl:1315; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 3 …se/array.jl:929; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 3 …actarray.jl:699; checkbounds ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 3 …actarray.jl:681; checkbounds ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 3 …actarray.jl:98; axes 3╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +9 3 …se/array.jl:194; size ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 …se/array.jl:930; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 1 …sentials.jl:916; getindex 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 1 …sentials.jl:12; length ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 …se/array.jl:929; getindex 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 …actarray.jl:697; checkbounds ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …educedim.jl:289; macro expansion 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 …se/array.jl:994; setindex! ╎ ╎ ╎ ╎ ╎ ╎ 11 …/src/fit.jl:83; grow_tree!(tree::EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ 11 …roadcast.jl:880; materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 …roadcast.jl:883; materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 …roadcast.jl:925; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …roadcast.jl:969; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …roadcast.jl:952; preprocess ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …roadcast.jl:955; preprocess_args ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …roadcast.jl:956; preprocess_args ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …roadcast.jl:953; preprocess ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …roadcast.jl:946; broadcast_unalias ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …actarray.jl:1500; unalias ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …actarray.jl:1537; mightalias ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 …actarray.jl:1562; dataids 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 …actarray.jl:1561; dataids ╎ ╎ ╎ ╎ ╎ ╎ ╎ 10 …roadcast.jl:972; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 10 …simdloop.jl:77; macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 10 …roadcast.jl:973; macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …roadcast.jl:610; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …roadcast.jl:650; _broadcast_getind… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …roadcast.jl:674; _getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …roadcast.jl:644; _broadcast_geti… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …ensional.jl:702; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 2 …se/array.jl:930; getindex 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 …sentials.jl:916; getindex 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 …sentials.jl:917; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 …roadcast.jl:675; _getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 …roadcast.jl:644; _broadcast_get… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 3 …ensional.jl:702; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 3 …se/array.jl:930; getindex 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 2 …sentials.jl:916; getindex 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 …sentials.jl:12; length 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 …sentials.jl:917; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …ensional.jl:704; setindex! 5╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …se/array.jl:994; setindex! ╎ ╎ ╎ ╎ ╎ ╎ 1 …/src/fit.jl:86; grow_tree!(tree::EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:902; iterate 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:902; iterate ╎ ╎ ╎ ╎ ╎ ╎ 13 …/src/fit.jl:87; grow_tree!(tree::EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ 13 …roadcast.jl:880; materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 13 …roadcast.jl:883; materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 13 …roadcast.jl:925; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 13 …roadcast.jl:972; copyto! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …simdloop.jl:0; macro expansion 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …simdloop.jl:75; macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 …simdloop.jl:77; macro expansion 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 11 …roadcast.jl:973; macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …roadcast.jl:610; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …roadcast.jl:650; _broadcast_getind… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …roadcast.jl:674; _getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …roadcast.jl:644; _broadcast_geti… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ensional.jl:702; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 …se/array.jl:930; getindex 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 …sentials.jl:917; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 …roadcast.jl:675; _getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 …roadcast.jl:644; _broadcast_get… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 2 …roadcast.jl:587; newindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 2 …roadcast.jl:590; _newindex 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 2 …sentials.jl:796; ifelse ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 2 …ensional.jl:702; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 2 …se/array.jl:930; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 …actarray.jl:1347; _to_linear_in… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 …actarray.jl:3048; _sub2ind ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 …actarray.jl:3064; _sub2ind ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 1 …actarray.jl:3080; _sub2ind_recu… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 1 …actarray.jl:3080; _sub2ind_recu… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 1 @Base/int.jl:88; * 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 …sentials.jl:916; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …ensional.jl:704; setindex! 5╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …se/array.jl:994; setindex! ╎ ╎ ╎ ╎ ╎ ╎ 8 …/src/fit.jl:91; grow_tree!(tree::EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ 8 …it-utils.jl:233; update_hist! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 …nstructs.jl:190; macro expansion 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …nstructs.jl:149; threading_run(fun::Evo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …nstructs.jl:154; threading_run(fun::Evo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …ase/task.jl:5; Task ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …ase/task.jl:5; Task 2╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …ase/boot.jl:502; _Task 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …nstructs.jl:161; threading_run(fun::Evo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 …nstructs.jl:168; threading_run(fun::Evo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 …ase/task.jl:328; _wait(t::Task) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 …ondition.jl:125; wait ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 …ondition.jl:130; wait(c::Base.Generi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …ase/task.jl:1023; wait() 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …se/libuv.jl:125; process_events 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:769; workqueue_for(tid:… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …nstructs.jl:170; threading_run(fun::Evo… ╎ ╎ ╎ ╎ ╎ ╎ 2 …/src/fit.jl:94; grow_tree!(tree::EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ 2 …nstructs.jl:190; macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …nstructs.jl:154; threading_run(fun::EvoT… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:5; Task ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:5; Task 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/boot.jl:502; _Task ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …nstructs.jl:168; threading_run(fun::EvoT… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:328; _wait(t::Task) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ondition.jl:125; wait ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ondition.jl:130; wait(c::Base.Generic… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:1023; wait() 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/libuv.jl:125; process_events ╎ ╎ ╎ ╎ ╎ ╎ 1 …/src/fit.jl:99; grow_tree!(tree::EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/sort.jl:1723; sort ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/sort.jl:1723; sort(v::Vector{Int64};… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …actarray.jl:1192; copymutable ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:322; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:299; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:308; _copyto_impl! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …icmemory.jl:121; unsafe_copyto! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/cmem.jl:28; memmove ╎ ╎ ╎ ╎ ╎ ╎ 58 …/src/fit.jl:103; grow_tree!(tree::EvoTrees… ╎ ╎ ╎ ╎ ╎ ╎ 58 …roadcast.jl:872; materialize ╎ ╎ ╎ ╎ ╎ ╎ ╎ 58 …roadcast.jl:897; copy ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …roadcast.jl:925; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …roadcast.jl:972; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …simdloop.jl:77; macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …roadcast.jl:973; macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …roadcast.jl:610; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …roadcast.jl:651; _broadcast_getind… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …roadcast.jl:678; _broadcast_getin… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …educedim.jl:1175; findmax ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …educedim.jl:1175; #findmax#991 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 5 …e/reduce.jl:935; _findmax ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 5 …educedim.jl:1198; findmax ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 5 …educedim.jl:1198; #findmax#992 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 5 …e/reduce.jl:906; _findmax ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 5 …e/reduce.jl:175; mapfoldl ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 5 …e/reduce.jl:175; #mapfoldl#337 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 5 …e/reduce.jl:44; mapfoldl_impl ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 5 …e/reduce.jl:48; foldl_impl 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +9 1 …e/reduce.jl:0; _foldl_impl ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +9 4 …e/reduce.jl:62; _foldl_impl ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +10 4 …e/reduce.jl:100; MappingRF ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +11 4 …e/reduce.jl:86; BottomRF 3╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +12 4 …e/reduce.jl:907; _rf_findmax ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +13 1 …se/float.jl:631; isless ╎ ╎ ╎ ╎ ╎ ╎ ╎ 53 …roadcast.jl:223; similar ╎ ╎ ╎ ╎ ╎ ╎ ╎ 53 …roadcast.jl:224; similar ╎ ╎ ╎ ╎ ╎ ╎ ╎ 53 …actarray.jl:867; similar ╎ ╎ ╎ ╎ ╎ ╎ ╎ 53 …actarray.jl:868; similar ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 53 …ase/boot.jl:599; Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 53 …ase/boot.jl:591; Array 53╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 53 …ase/boot.jl:579; Array ╎ ╎ ╎ ╎ ╎ ╎ 10 …/src/fit.jl:114; grow_tree!(tree::EvoTrees… ╎ ╎ ╎ ╎ ╎ ╎ 5 …it-utils.jl:178; split_set_threads!(out::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …nstructs.jl:190; macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …nstructs.jl:154; threading_run(fun::Evo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:5; Task ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:5; Task 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/boot.jl:502; _Task ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …nstructs.jl:165; threading_run(fun::Evo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:833; schedule 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:820; enq_work(t::Task) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …nstructs.jl:168; threading_run(fun::Evo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …ase/task.jl:328; _wait(t::Task) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …ondition.jl:125; wait ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 …ondition.jl:130; wait(c::Base.Generi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:1022; wait() 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:948; try_yieldto(undo:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:1023; wait() 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/libuv.jl:125; process_events ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …nstructs.jl:171; threading_run(fun::Evo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:2927; filter!(f::typeof(is… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:1497; sizehint! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:0; sizehint!(a::Vector{T… ╎ ╎ ╎ ╎ ╎ ╎ 5 …it-utils.jl:198; split_set_threads!(out::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …nstructs.jl:190; macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …nstructs.jl:168; threading_run(fun::Evo… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …ase/task.jl:328; _wait(t::Task) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …ondition.jl:125; wait ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 …ondition.jl:130; wait(c::Base.Generi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:1021; wait() ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:1010; poptask(W::Base.… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:992; trypoptask(W::Ba… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:747; popfirst!(W::Ba… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …locks-mt.jl:43; lock(l::Base.Th… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 …locks-mt.jl:56; trylock 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 …romotion.jl:639; == ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 …ase/task.jl:1023; wait() 4╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 …se/libuv.jl:125; process_events ╎ ╎ ╎ ╎ ╎ ╎ 2 …/src/fit.jl:128; grow_tree!(tree::EvoTrees… ╎ ╎ ╎ ╎ ╎ ╎ 1 …actarray.jl:1312; getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ensional.jl:915; _getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ensional.jl:927; _unsafe_getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …actarray.jl:822; similar ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:372; similar ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/boot.jl:591; Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/boot.jl:578; Array 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/boot.jl:516; GenericMemory ╎ ╎ ╎ ╎ ╎ ╎ 1 …roadcast.jl:880; materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …roadcast.jl:883; materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …roadcast.jl:925; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …roadcast.jl:966; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:322; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:299; copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:306; _copyto_impl! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/boot.jl:524; memoryref ╎ ╎ ╎ ╎ ╎ ╎ 1 …/src/fit.jl:137; grow_tree!(tree::EvoTrees… ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:1261; push! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:1116; _growend! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/array.jl:1116; (::Base.var"#133#134"… ╎ ╎ ╎ ╎ ╎ 1 …regression.jl:204; fit(conf_model::ConformalPre… ╎ ╎ ╎ ╎ ╎ 1 …es/src/MLJ.jl:45; predict(::EvoTrees.EvoTreeRe… ╎ ╎ ╎ ╎ ╎ ╎ 1 …rc/predict.jl:84; predict ╎ ╎ ╎ ╎ ╎ ╎ 1 …c/predict.jl:87; predict(m::EvoTrees.EvoTree… ╎ ╎ ╎ ╎ ╎ ╎ 1 …c/predict.jl:90; _predict 1╎ ╎ ╎ ╎ ╎ ╎ 1 …/predict.jl:103; _predict(m::EvoTrees.EvoT… ╎1 @Base/task.jl:694; task_done_hook(t::Task) ╎ 1 @Base/task.jl:1022; wait() 1╎ 1 @Base/task.jl:948; try_yieldto(undo::typeof(Base.ensure_rescheduled)) Task 0x00007a17e028f3a0 Total snapshots: 1. Utilization: 100% Task 0x00007a17e0409780 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/essentials.jl:0; _accumulaten!(op::typeof(Base.add_sum), B:… Task 0x00007a17e042e400 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:414; _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 …multidimensional.jl:702; getindex ╎ ╎ ╎ 1 @Base/array.jl:929; getindex ╎ ╎ ╎ 1 …se/abstractarray.jl:699; checkbounds Task 0x00007a17e2cdebd0 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:335; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @EvoTrees/src/loss.jl:147; get_gain ╎ ╎ 1 @Base/subarray.jl:343; getindex ╎ ╎ 1 @Base/essentials.jl:917; getindex Task 0x00007a17f1c42720 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/essentials.jl:0; _accumulaten!(op::typeof(Base.add_sum), B:… Task 0x00007a17e0fc6a40 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:326; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/abstractarray.jl:1315; getindex ╎ ╎ 1 @Base/essentials.jl:917; getindex Task 0x00007a17e18ee270 Total snapshots: 1. 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Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:319; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:880; materialize! ╎ ╎ 1 @Base/broadcast.jl:883; materialize! ╎ ╎ 1 @Base/broadcast.jl:925; copyto! ╎ ╎ 1 @Base/broadcast.jl:972; copyto! ╎ ╎ 1 @Base/simdloop.jl:77; macro expansion ╎ ╎ 1 @Base/broadcast.jl:973; macro expansion ╎ ╎ ╎ 1 …multidimensional.jl:704; setindex! ╎ ╎ ╎ 1 @Base/array.jl:994; setindex! Task 0x00007a17b84bc650 Total snapshots: 1. Utilization: 100% ╎1 @Base/task.jl:694; task_done_hook(t::Task) ╎ 1 @Base/task.jl:1022; wait() ╎ 1 @Base/task.jl:948; try_yieldto(undo::typeof(Base.ensure_rescheduled)) Task 0x00007a17b84b81a0 Total snapshots: 1. 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Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:319; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:880; materialize! ╎ ╎ 1 @Base/broadcast.jl:883; materialize! ╎ ╎ 1 @Base/broadcast.jl:925; copyto! ╎ ╎ 1 @Base/broadcast.jl:972; copyto! ╎ ╎ 1 @Base/simdloop.jl:77; macro expansion ╎ ╎ 1 @Base/broadcast.jl:973; macro expansion ╎ ╎ ╎ 1 …multidimensional.jl:704; setindex! ╎ ╎ ╎ 1 @Base/array.jl:994; setindex! Task 0x00007a17b8427080 Total snapshots: 1. Utilization: 100% ╎1 @Base/task.jl:673; task_done_hook(t::Task) ╎ 1 @Base/condition.jl:73; lock ╎ 1 @Base/locks-mt.jl:43; lock(l::Base.Threads.SpinLock) ╎ 1 @Base/locks-mt.jl:56; trylock ╎ 1 @Base/promotion.jl:639; == Task 0x00007a17b8416400 Total snapshots: 1. 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Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#827#… ╎ 1 …/threadingconstructs.jl:220; #827#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#827#threadsfor_fun#149"{Ev… ╎ 1 …oTrees/src/fit-utils.jl:234; macro expansion ╎ 1 @Base/simdloop.jl:77; macro expansion ╎ 1 …Trees/src/fit-utils.jl:236; macro expansion ╎ ╎ 1 …e/multidimensional.jl:704; setindex! ╎ ╎ 1 @Base/array.jl:994; setindex! Task 0x00007a17b83b0330 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:319; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:880; materialize! ╎ ╎ 1 @Base/broadcast.jl:883; materialize! ╎ ╎ 1 @Base/broadcast.jl:925; copyto! ╎ ╎ 1 @Base/broadcast.jl:972; copyto! ╎ ╎ 1 @Base/simdloop.jl:77; macro expansion ╎ ╎ 1 @Base/broadcast.jl:973; macro expansion ╎ ╎ ╎ 1 @Base/broadcast.jl:610; getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:650; _broadcast_getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:674; _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:675; _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:644; _broadcast_getindex ╎ ╎ ╎ ╎ 1 …ltidimensional.jl:702; getindex ╎ ╎ ╎ ╎ 1 @Base/array.jl:929; getindex ╎ ╎ ╎ ╎ 1 …/abstractarray.jl:699; checkbounds Task 0x00007a17b83712d0 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:414; _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 …multidimensional.jl:702; getindex ╎ ╎ ╎ 1 @Base/array.jl:929; getindex ╎ ╎ ╎ 1 …se/abstractarray.jl:699; checkbounds ╎ ╎ ╎ 1 …e/abstractarray.jl:681; checkbounds ╎ ╎ ╎ 1 …e/abstractarray.jl:725; checkbounds_indices ╎ ╎ ╎ ╎ 1 …/abstractarray.jl:754; checkindex ╎ ╎ ╎ ╎ 1 @Base/int.jl:513; < Task 0x00007a17b836a8b0 Total snapshots: 1. 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Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:414; _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 …multidimensional.jl:702; getindex ╎ ╎ ╎ 1 @Base/array.jl:929; getindex ╎ ╎ ╎ 1 …se/abstractarray.jl:699; checkbounds Task 0x00007a17b815a720 Total snapshots: 1. 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Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#827#… ╎ 1 …/threadingconstructs.jl:220; #827#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#827#threadsfor_fun#149"{Ev… ╎ 1 …oTrees/src/fit-utils.jl:234; macro expansion ╎ 1 @Base/simdloop.jl:76; macro expansion ╎ 1 @Base/simdloop.jl:54; simd_index ╎ ╎ 1 @Base/subarray.jl:343; getindex ╎ ╎ 1 @Base/essentials.jl:917; getindex Task 0x00007a17b70d81a0 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#501#… ╎ 1 …/threadingconstructs.jl:220; #501#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#501#threadsfor_fun#93"{Evo… ╎ 1 @EvoTrees/src/predict.jl:4; macro expansion ╎ 1 @Base/essentials.jl:916; getindex Task 0x00007a17b70b6400 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:319; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:880; materialize! ╎ ╎ 1 @Base/broadcast.jl:883; materialize! ╎ ╎ 1 @Base/broadcast.jl:925; copyto! ╎ ╎ 1 @Base/broadcast.jl:972; copyto! ╎ ╎ 1 @Base/simdloop.jl:77; macro expansion ╎ ╎ 1 @Base/broadcast.jl:973; macro expansion ╎ ╎ ╎ 1 …multidimensional.jl:704; setindex! ╎ ╎ ╎ 1 @Base/array.jl:994; setindex! Task 0x00007a17b7095780 Total snapshots: 1. 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Utilization: 100% ╎1 @Base/task.jl:677; task_done_hook(t::Task) ╎ 1 @Base/condition.jl:148; notify ╎ 1 @Base/condition.jl:148; notify ╎ 1 @Base/condition.jl:148; #notify#734 ╎ 1 @Base/condition.jl:154; notify(c::Base.GenericCondition{Base.Threads.Sp… ╎ 1 @Base/task.jl:876; schedule ╎ ╎ 1 @Base/task.jl:887; schedule(t::Task, arg::Any; error::Bool) ╎ ╎ 1 @Base/task.jl:813; enq_work(t::Task) ╎ ╎ 1 @Base/task.jl:725; push!(W::Base.IntrusiveLinkedListSynchronized{Ta… ╎ ╎ 1 @Base/locks-mt.jl:65; unlock ╎ ╎ 1 @Base/promotion.jl:639; == Task 0x00007a17ab17b530 Total snapshots: 1. 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Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:335; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @EvoTrees/src/loss.jl:147; get_gain ╎ ╎ 1 @Base/promotion.jl:432; / ╎ ╎ 1 @Base/float.jl:494; / Task 0x00007a17ab398c90 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:319; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:880; materialize! ╎ ╎ 1 @Base/broadcast.jl:883; materialize! ╎ ╎ 1 @Base/broadcast.jl:925; copyto! ╎ ╎ 1 @Base/broadcast.jl:972; copyto! ╎ ╎ 1 @Base/simdloop.jl:77; macro expansion ╎ ╎ 1 @Base/broadcast.jl:973; macro expansion ╎ ╎ ╎ 1 …multidimensional.jl:704; setindex! ╎ ╎ ╎ 1 @Base/array.jl:994; setindex! Task 0x00007a17ab3b6270 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:398; _accumulate!(op::typeof(Base.add_sum), B:… Task 0x00007a17ab3c87e0 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:319; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:880; materialize! ╎ ╎ 1 @Base/broadcast.jl:883; materialize! ╎ ╎ 1 @Base/broadcast.jl:925; copyto! ╎ ╎ 1 @Base/broadcast.jl:972; copyto! ╎ ╎ 1 @Base/simdloop.jl:77; macro expansion ╎ ╎ 1 @Base/broadcast.jl:973; macro expansion ╎ ╎ ╎ 1 …multidimensional.jl:704; setindex! ╎ ╎ ╎ 1 @Base/array.jl:994; setindex! Task 0x00007a17ab3ecc90 Total snapshots: 1. 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Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:319; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:880; materialize! ╎ ╎ 1 @Base/broadcast.jl:883; materialize! ╎ ╎ 1 @Base/broadcast.jl:925; copyto! ╎ ╎ 1 @Base/broadcast.jl:972; copyto! ╎ ╎ 1 @Base/simdloop.jl:77; macro expansion ╎ ╎ 1 @Base/broadcast.jl:973; macro expansion ╎ ╎ ╎ 1 @Base/broadcast.jl:610; getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:650; _broadcast_getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:674; _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:644; _broadcast_getindex ╎ ╎ ╎ 1 @Base/essentials.jl:917; getindex Task 0x00007a17ab6c3b70 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:410; _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 …multidimensional.jl:704; setindex! ╎ ╎ ╎ 1 @Base/array.jl:994; setindex! Task 0x00007a17ab6c7080 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:319; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:880; materialize! ╎ ╎ 1 @Base/broadcast.jl:883; materialize! ╎ ╎ 1 @Base/broadcast.jl:925; copyto! ╎ ╎ 1 @Base/broadcast.jl:972; copyto! ╎ ╎ 1 @Base/simdloop.jl:77; macro expansion ╎ ╎ 1 @Base/broadcast.jl:973; macro expansion ╎ ╎ ╎ 1 @Base/broadcast.jl:610; getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:650; _broadcast_getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:674; _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:675; _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:644; _broadcast_getindex ╎ ╎ ╎ ╎ 1 …ltidimensional.jl:702; getindex ╎ ╎ ╎ ╎ 1 @Base/array.jl:930; getindex ╎ ╎ ╎ ╎ 1 …ase/essentials.jl:917; getindex Task 0x00007a17ab6ca0e0 Total snapshots: 1. 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Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:416; _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 …multidimensional.jl:704; setindex! ╎ ╎ ╎ 1 @Base/array.jl:993; setindex! ╎ ╎ ╎ 1 …se/abstractarray.jl:699; checkbounds ╎ ╎ ╎ 1 …e/abstractarray.jl:681; checkbounds ╎ ╎ ╎ 1 …e/abstractarray.jl:725; checkbounds_indices ╎ ╎ ╎ ╎ 1 …/abstractarray.jl:754; checkindex ╎ ╎ ╎ ╎ 1 @Base/int.jl:513; < Task 0x00007a17ab8b60e0 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:398; _accumulate!(op::typeof(Base.add_sum), B:… Task 0x00007a17ab8c3850 Total snapshots: 1. 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Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:335; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @EvoTrees/src/loss.jl:147; get_gain ╎ ╎ 1 @Base/subarray.jl:343; getindex ╎ ╎ 1 @Base/essentials.jl:916; getindex Task 0x00007a17ab8f6400 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:319; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:880; materialize! ╎ ╎ 1 @Base/broadcast.jl:883; materialize! ╎ ╎ 1 @Base/broadcast.jl:925; copyto! ╎ ╎ 1 @Base/broadcast.jl:972; copyto! ╎ ╎ 1 @Base/simdloop.jl:77; macro expansion ╎ ╎ 1 @Base/broadcast.jl:973; macro expansion ╎ ╎ ╎ 1 @Base/broadcast.jl:610; getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:650; _broadcast_getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:674; _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:675; _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:644; _broadcast_getindex ╎ ╎ ╎ ╎ 1 …ltidimensional.jl:702; getindex ╎ ╎ ╎ ╎ 1 @Base/array.jl:930; getindex ╎ ╎ ╎ ╎ 1 …ase/essentials.jl:917; getindex Task 0x00007a17ab8f8e20 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:335; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @EvoTrees/src/loss.jl:147; get_gain ╎ ╎ 1 @Base/math.jl:839; max ╎ ╎ 1 @Base/floatfuncs.jl:15; signbit ╎ ╎ 1 @Base/int.jl:139; signbit ╎ ╎ 1 @Base/int.jl:83; < Task 0x00007a17ab922720 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:414; _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 …multidimensional.jl:702; getindex ╎ ╎ ╎ 1 @Base/array.jl:929; getindex ╎ ╎ ╎ 1 …se/abstractarray.jl:699; checkbounds Task 0x00007a17ab928970 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:335; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @EvoTrees/src/loss.jl:147; get_gain ╎ ╎ 1 @Base/promotion.jl:432; / ╎ ╎ 1 @Base/float.jl:494; / Task 0x00007a17ab934330 Total snapshots: 1. 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Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:414; _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 …multidimensional.jl:702; getindex ╎ ╎ ╎ 1 @Base/array.jl:929; getindex ╎ ╎ ╎ 1 …se/abstractarray.jl:699; checkbounds Task 0x00007a17ab94abd0 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:335; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @EvoTrees/src/loss.jl:147; get_gain ╎ ╎ 1 @Base/math.jl:839; max ╎ ╎ 1 @Base/floatfuncs.jl:15; signbit Task 0x00007a17ab95b210 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:326; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/array.jl:930; getindex ╎ ╎ 1 @Base/abstractarray.jl:1347; _to_linear_index ╎ ╎ 1 @Base/abstractarray.jl:3048; _sub2ind ╎ ╎ 1 …ase/abstractarray.jl:3064; _sub2ind ╎ ╎ 1 …ase/abstractarray.jl:3080; _sub2ind_recurse ╎ ╎ 1 …se/abstractarray.jl:3080; _sub2ind_recurse ╎ ╎ ╎ 1 @Base/int.jl:87; + Task 0x00007a17ab969f50 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:319; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:880; materialize! ╎ ╎ 1 @Base/broadcast.jl:883; materialize! ╎ ╎ 1 @Base/broadcast.jl:925; copyto! ╎ ╎ 1 @Base/broadcast.jl:972; copyto! ╎ ╎ 1 @Base/simdloop.jl:0; macro expansion Task 0x00007a17ab97abd0 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:319; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:880; materialize! ╎ ╎ 1 @Base/broadcast.jl:883; materialize! ╎ ╎ 1 @Base/broadcast.jl:925; copyto! ╎ ╎ 1 @Base/broadcast.jl:972; copyto! ╎ ╎ 1 @Base/simdloop.jl:76; macro expansion ╎ ╎ 1 …/multidimensional.jl:488; simd_index ╎ ╎ ╎ 1 @Base/array.jl:3077; getindex ╎ ╎ ╎ 1 @Base/range.jl:922; _getindex ╎ ╎ ╎ 1 …se/abstractarray.jl:699; checkbounds Task 0x00007a17ab9a3080 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#827#… ╎ 1 …/threadingconstructs.jl:220; #827#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#827#threadsfor_fun#149"{Ev… ╎ 1 …oTrees/src/fit-utils.jl:234; macro expansion ╎ 1 @Base/simdloop.jl:77; macro expansion ╎ 1 …Trees/src/fit-utils.jl:236; macro expansion ╎ ╎ 1 @Base/abstractarray.jl:1315; getindex ╎ ╎ 1 @Base/array.jl:930; getindex ╎ ╎ 1 @Base/essentials.jl:916; getindex Task 0x00007a17ab9a8650 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:416; _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 …multidimensional.jl:704; setindex! ╎ ╎ ╎ 1 @Base/array.jl:994; setindex! Task 0x00007a17ab9b3080 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#797#… ╎ 1 …/threadingconstructs.jl:220; #797#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#797#threadsfor_fun#144"{Ev… ╎ 1 …oTrees/src/fit-utils.jl:179; macro expansion ╎ 1 …Trees/src/fit-utils.jl:119; split_set_chunk!(left::Vector{UInt32}, rig… ╎ 1 @Base/array.jl:986; setindex! ╎ ╎ 1 @Base/int.jl:513; < Task 0x00007a17ab9b5aa0 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:414; _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 …multidimensional.jl:702; getindex ╎ ╎ ╎ 1 @Base/array.jl:929; getindex ╎ ╎ ╎ 1 …se/abstractarray.jl:699; checkbounds Task 0x00007a17ab9fa400 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:414; _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 …multidimensional.jl:702; getindex ╎ ╎ ╎ 1 @Base/array.jl:930; getindex ╎ ╎ ╎ 1 @Base/essentials.jl:916; getindex Task 0x00007a17aba2a8b0 Total snapshots: 1. Utilization: 100% Task 0x00007a17aba46bd0 Total snapshots: 1. Utilization: 100% Task 0x00007a17aba487e0 Total snapshots: 1. 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Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:414; _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 …multidimensional.jl:702; getindex ╎ ╎ ╎ 1 @Base/array.jl:929; getindex ╎ ╎ ╎ 1 …se/abstractarray.jl:699; checkbounds Task 0x00007a17aba94010 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:335; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @EvoTrees/src/loss.jl:147; get_gain ╎ ╎ 1 @Base/promotion.jl:432; / ╎ ╎ 1 @Base/float.jl:494; / Task 0x00007a17aba9c1a0 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:335; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/array.jl:986; setindex! ╎ ╎ 1 @Base/int.jl:513; < Task 0x00007a17abaaaa40 Total snapshots: 1. 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Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#827#… ╎ 1 …/threadingconstructs.jl:220; #827#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#827#threadsfor_fun#149"{Ev… ╎ 1 …oTrees/src/fit-utils.jl:234; macro expansion ╎ 1 @Base/simdloop.jl:77; macro expansion ╎ 1 …Trees/src/fit-utils.jl:236; macro expansion ╎ ╎ 1 @Base/abstractarray.jl:1315; getindex ╎ ╎ 1 @Base/array.jl:929; getindex ╎ ╎ 1 @Base/abstractarray.jl:699; checkbounds ╎ ╎ 1 …ase/abstractarray.jl:681; checkbounds ╎ ╎ 1 …ase/abstractarray.jl:725; checkbounds_indices ╎ ╎ ╎ 1 …se/abstractarray.jl:754; checkindex ╎ ╎ ╎ 1 @Base/int.jl:513; < Task 0x00007a17abac2400 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:414; _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 …multidimensional.jl:702; getindex ╎ ╎ ╎ 1 @Base/array.jl:929; getindex ╎ ╎ ╎ 1 …se/abstractarray.jl:699; checkbounds Task 0x00007a17abacb6c0 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:319; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:880; materialize! ╎ ╎ 1 @Base/broadcast.jl:883; materialize! ╎ ╎ 1 @Base/broadcast.jl:925; copyto! ╎ ╎ 1 @Base/broadcast.jl:972; copyto! ╎ ╎ 1 @Base/simdloop.jl:77; macro expansion ╎ ╎ 1 @Base/broadcast.jl:973; macro expansion ╎ ╎ ╎ 1 …multidimensional.jl:704; setindex! ╎ ╎ ╎ 1 …ase/abstractarray.jl:0; setindex! Task 0x00007a17abaec330 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:414; _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 …multidimensional.jl:702; getindex ╎ ╎ ╎ 1 @Base/array.jl:930; getindex ╎ ╎ ╎ 1 @Base/essentials.jl:917; getindex Task 0x00007a17abafc330 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:417; _accumulaten!(op::typeof(Base.add_sum), … Task 0x00007a17abb284c0 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:414; _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 …multidimensional.jl:702; getindex ╎ ╎ ╎ 1 @Base/array.jl:929; getindex ╎ ╎ ╎ 1 …se/abstractarray.jl:699; checkbounds Task 0x00007a17abb32d60 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#501#… ╎ 1 …/threadingconstructs.jl:220; #501#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#501#threadsfor_fun#93"{Evo… ╎ 1 @EvoTrees/src/predict.jl:6; macro expansion Task 0x00007a17abb34650 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:378; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/tuple.jl:547; == ╎ ╎ ╎ 1 @Base/tuple.jl:552; _eq Task 0x00007a17abb415f0 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:335; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @EvoTrees/src/loss.jl:147; get_gain ╎ ╎ 1 @Base/promotion.jl:432; / ╎ ╎ 1 @Base/float.jl:494; / Task 0x00007a17abb44010 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:319; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:880; materialize! ╎ ╎ 1 @Base/broadcast.jl:883; materialize! ╎ ╎ 1 @Base/broadcast.jl:925; copyto! ╎ ╎ 1 @Base/broadcast.jl:972; copyto! ╎ ╎ 1 @Base/simdloop.jl:77; macro expansion ╎ ╎ 1 @Base/broadcast.jl:973; macro expansion ╎ ╎ ╎ 1 …multidimensional.jl:704; setindex! ╎ ╎ ╎ 1 @Base/array.jl:994; setindex! Task 0x00007a17abb4c970 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#797#… ╎ 1 …/threadingconstructs.jl:220; #797#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#797#threadsfor_fun#144"{Ev… ╎ 1 …oTrees/src/fit-utils.jl:179; macro expansion ╎ 1 …Trees/src/fit-utils.jl:116; split_set_chunk!(left::Vector{UInt32}, rig… ╎ 1 @Base/abstractarray.jl:1315; getindex ╎ ╎ 1 @Base/array.jl:929; getindex ╎ ╎ 1 @Base/abstractarray.jl:699; checkbounds Task 0x00007a17abb5b210 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:414; _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 …multidimensional.jl:702; getindex ╎ ╎ ╎ 1 @Base/array.jl:929; getindex ╎ ╎ ╎ 1 …se/abstractarray.jl:699; checkbounds ╎ ╎ ╎ 1 …e/abstractarray.jl:681; checkbounds ╎ ╎ ╎ 1 …e/abstractarray.jl:725; checkbounds_indices ╎ ╎ ╎ ╎ 1 …/abstractarray.jl:754; checkindex ╎ ╎ ╎ ╎ 1 @Base/int.jl:513; < Task 0x00007a17abb7cc90 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… Task 0x00007a17abb93210 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:414; _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 …multidimensional.jl:702; getindex ╎ ╎ ╎ 1 @Base/array.jl:929; getindex ╎ ╎ ╎ 1 …se/abstractarray.jl:699; checkbounds Task 0x00007a17abbb2a40 Total snapshots: 1. Utilization: 100% ╎1 …e/threadingconstructs.jl:154; (::Base.Threads.var"#1#2"{EvoTrees.var"#881#… ╎ 1 …/threadingconstructs.jl:220; #881#threadsfor_fun ╎ 1 …/threadingconstructs.jl:253; (::EvoTrees.var"#881#threadsfor_fun#158"{Ev… ╎ 1 @EvoTrees/src/fit.jl:95; macro expansion ╎ 1 …Trees/src/fit-utils.jl:318; update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51; cumsum! ╎ ╎ 1 @Base/accumulate.jl:51; #cumsum!#995 ╎ ╎ 1 @Base/accumulate.jl:348; accumulate! ╎ ╎ 1 @Base/accumulate.jl:351; #accumulate!#1004 ╎ ╎ 1 @Base/accumulate.jl:400; _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:0; _accumulaten!(op::typeof(Base.add_sum), B:… [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 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:522 [295] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:22 checkbounds at ./abstractarray.jl:699 [inlined] getindex at ./array.jl:929 [inlined] getindex at ./multidimensional.jl:702 [inlined] _accumulaten! at ./accumulate.jl:414 unknown function (ip: 0x7a183312da52) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 _accumulate! at ./accumulate.jl:400 #accumulate!#1004 at ./accumulate.jl:351 [inlined] accumulate! at ./accumulate.jl:348 [inlined] #cumsum!#995 at ./accumulate.jl:51 [inlined] cumsum! at ./accumulate.jl:51 [inlined] update_gains! at /home/pkgeval/.julia/packages/EvoTrees/73o4j/src/fit-utils.jl:318 macro expansion at /home/pkgeval/.julia/packages/EvoTrees/73o4j/src/fit.jl:95 [inlined] #881#threadsfor_fun#157 at ./threadingconstructs.jl:253 #881#threadsfor_fun at ./threadingconstructs.jl:220 [inlined] #1 at ./threadingconstructs.jl:154 unknown function (ip: 0x7a1831f44b3f) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 jl_apply at /source/src/julia.h:2157 [inlined] start_task at /source/src/task.c:1204 unknown function (ip: (nil)) Allocations: 491703372 (Pool: 491695694; Big: 7678); GC: 203 poptask at ./task.jl:1012 wait at ./task.jl:1021 #wait#733 at ./condition.jl:130 wait at ./condition.jl:125 [inlined] _trywait at ./asyncevent.jl:145 profile_printing_listener at ./Base.jl:582 #1192 at ./Base.jl:622 jfptr_YY.1192_76260.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 jl_apply at /source/src/julia.h:2157 [inlined] start_task at /source/src/task.c:1204 unknown function (ip: (nil)) Allocations: 27817392 (Pool: 27815100; Big: 2292); GC: 38 val already in a list atexit hook threw an error: ErrorException("schedule: Task not runnable") error at ./error.jl:35 #schedule#763 at ./task.jl:884 schedule at ./task.jl:876 [inlined] uv_writecb_task at ./stream.jl:1200 jfptr_uv_writecb_task_67137.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 jlcapi_uv_writecb_task_67601.1 at /opt/julia/lib/julia/sys.so (unknown line) uv__write_callbacks at /workspace/srcdir/libuv/src/unix/stream.c:926 uv__stream_io at /workspace/srcdir/libuv/src/unix/stream.c:1227 uv__run_pending at /workspace/srcdir/libuv/src/unix/core.c:824 uv_run at /workspace/srcdir/libuv/src/unix/core.c:420 ijl_task_get_next at /source/src/scheduler.c:522 poptask at ./task.jl:1012 wait at ./task.jl:1021 uv_write at ./stream.jl:1081 unsafe_write at ./stream.jl:1154 write at ./strings/io.jl:248 [inlined] print at ./strings/io.jl:250 jfptr_print_48487.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 showerror at ./errorshow.jl:152 unknown function (ip: 0x7acad3f73e16) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 _atexit at ./initdefs.jl:454 jfptr__atexit_69645.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2951 [inlined] ijl_apply_generic at /source/src/gf.c:3128 jl_apply at /source/src/julia.h:2157 [inlined] ijl_atexit_hook at /source/src/init.c:271 jl_exit_thread0_cb at /source/src/signals-unix.c:517 PkgEval terminated after 2725.94s: test duration exceeded the time limit