Package evaluation to test AbstractBayesOpt on Julia 1.14.0-DEV.3055 (7e75a8061a*) started at 2026-08-27T23:56:25.481 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.75s ################################################################################ # Installation # Installing AbstractBayesOpt... Resolving package versions... Installed CommonSolve ────────────── v0.2.14 Installed Rmath_jll ──────────────── v0.5.2+0 Installed ForwardDiff ────────────── v1.4.5 Installed DataStructures ─────────── v0.19.6 Installed CompositionsBase ───────── v0.1.2 Installed MacroTools ─────────────── v0.5.16 Installed Glob ───────────────────── v1.5.0 Installed DiffResults ────────────── v1.1.0 Installed FillArrays ─────────────── v1.17.0 Installed Adapt ──────────────────── v4.7.0 Installed HypergeometricFunctions ── v0.3.30 Installed StatsBase ──────────────── v0.34.13 Installed DelimitedFiles ─────────── v1.9.1 Installed AliasTables ────────────── v1.1.3 Installed ConstructionBase ───────── v1.6.0 Installed Functors ───────────────── v0.5.3 Installed OrderedCollections ─────── v2.0.1 Installed LatticeRules ───────────── v0.0.1 Installed ArrayInterface ─────────── v7.30.0 Installed Optim ──────────────────── v1.13.3 Installed Compat ─────────────────── v4.18.1 Installed RecipesBase ────────────── v1.3.4 Installed PositiveFactorizations ─── v0.2.4 Installed DataAPI ────────────────── v1.16.0 Installed Statistics ─────────────── v1.11.1 Installed TensorCore ─────────────── v0.1.1 Installed PrecompileTools ────────── v1.3.4 Installed ConcreteStructs ────────── v0.2.8 Installed StatsAPI ───────────────── v1.8.0 Installed CommonSubexpressions ───── v0.3.1 Installed ArgCheck ───────────────── v2.5.0 Installed StaticArraysCore ───────── v1.4.4 Installed IrrationalConstants ────── v0.2.6 Installed Sobol ──────────────────── v1.5.0 Installed Distances ──────────────── v0.10.12 Installed AbstractGPs ────────────── v0.5.24 Installed ChainRulesCore ─────────── v1.26.1 Installed IntegerMathUtils ───────── v0.1.4 Installed NaNMath ────────────────── v1.1.4 Installed OpenSpecFun_jll ────────── v0.5.6+0 Installed Requires ───────────────── v1.3.1 Installed QuadGK ─────────────────── v2.11.3 Installed LogExpFunctions ────────── v0.3.29 Installed DiffRules ──────────────── v1.16.0 Installed JuliaSyntax ────────────── v1.0.2 Installed Roots ──────────────────── v3.0.7 Installed Distributions ──────────── v0.25.131 Installed Gamma ──────────────────── v1.1.0 Installed Rmath ──────────────────── v0.9.0 Installed PtrArrays ──────────────── v1.4.0 Installed EnumX ──────────────────── v1.0.7 Installed StatsFuns ──────────────── v2.2.1 Installed FiniteDiff ─────────────── v2.33.0 Installed JuliaFormatter ─────────── v2.13.0 Installed KernelFunctions ────────── v0.10.67 Installed SpecialFunctions ───────── v2.9.0 Installed Reexport ───────────────── v1.2.2 Installed InverseFunctions ───────── v0.1.17 Installed Missings ───────────────── v1.2.0 Installed NLSolversBase ──────────── v7.10.0 Installed Setfield ───────────────── v1.1.2 Installed QuasiMonteCarlo ────────── v0.3.11 Installed AbstractBayesOpt ───────── v0.1.5 Installed Preferences ────────────── v1.5.2 Installed ZygoteRules ────────────── v0.2.8 Installed JLLWrappers ────────────── v1.8.0 Installed PDMats ─────────────────── v0.11.41 Installed Primes ─────────────────── v0.5.7 Installed SortingAlgorithms ──────── v1.2.3 Installed LineSearches ───────────── v7.5.1 Installed ADTypes ────────────────── v1.24.0 Installed CommonMark ─────────────── v1.0.4 Installed Accessors ──────────────── v0.1.45 Installed DocStringExtensions ────── v0.9.5 Installed DifferentiationInterface ─ v0.7.21 Installing 2 artifacts Installed artifact Rmath 111.3 KiB Installed artifact OpenSpecFun 105.4 KiB Updating `~/.julia/environments/v1.14/Project.toml` [735adf16] + AbstractBayesOpt v0.1.5 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.24.0 [735adf16] + AbstractBayesOpt v0.1.5 [99985d1d] + AbstractGPs v0.5.24 [7d9f7c33] + Accessors v0.1.45 [79e6a3ab] + Adapt v4.7.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [4fba245c] + ArrayInterface v7.30.0 [d360d2e6] + ChainRulesCore v1.26.1 [a80b9123] + CommonMark v1.0.4 [38540f10] + CommonSolve v0.2.14 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.8 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.6 [8bb1440f] + DelimitedFiles v1.9.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [a0c0ee7d] + DifferentiationInterface v0.7.21 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.131 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.7 [1a297f60] + FillArrays v1.17.0 [6a86dc24] + FiniteDiff v2.33.0 [f6369f11] + ForwardDiff v1.4.5 [d9f16b24] + Functors v0.5.3 ⌃ [a0844989] + Gamma v1.1.0 [c27321d9] + Glob v1.5.0 [34004b35] + HypergeometricFunctions v0.3.30 [18e54dd8] + IntegerMathUtils v0.1.4 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.8.0 [98e50ef6] + JuliaFormatter v2.13.0 [70703baa] + JuliaSyntax v1.0.2 ⌅ [ec8451be] + KernelFunctions v0.10.67 [73f95e8e] + LatticeRules v0.0.1 ⌃ [d3d80556] + LineSearches v7.5.1 ⌅ [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.16 [e1d29d7a] + Missings v1.2.0 ⌅ [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.4 ⌅ [429524aa] + Optim v1.13.3 [bac558e1] + OrderedCollections v2.0.1 [90014a1f] + PDMats v0.11.41 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [27ebfcd6] + Primes v0.5.7 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.3 ⌅ [8a4e6c94] + QuasiMonteCarlo v0.3.11 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [f2b01f46] + Roots v3.0.7 [efcf1570] + Setfield v1.1.2 [ed01d8cd] + Sobol v1.5.0 [a2af1166] + SortingAlgorithms v1.2.3 [276daf66] + SpecialFunctions v2.9.0 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.13 [4c63d2b9] + StatsFuns v2.2.1 [62fd8b95] + TensorCore v0.1.1 [700de1a5] + ZygoteRules v0.2.8 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.2+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.12.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.7+0 [4536629a] + OpenBLAS_jll v0.3.34+0 [05823500] + OpenLibm_jll v0.8.7+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 9.92s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling project... 4.5 s ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. Precompiling package dependencies... Precompiling project... 0.8 s ✓ Glob 3.0 s ✓ MacroTools 0.5 s ✓ Reexport 0.6 s ✓ Adapt 0.8 s ✓ Statistics 0.5 s ✓ DataAPI 0.6 s ✓ PositiveFactorizations 0.7 s ✓ TensorCore 0.7 s ✓ ConstructionBase 2.1 s ✓ IrrationalConstants 0.5 s ✓ StaticArraysCore 0.8 s ✓ StatsAPI 0.9 s ✓ OrderedCollections 0.5 s ✓ InverseFunctions 0.8 s ✓ LatticeRules 0.5 s ✓ CompositionsBase 0.6 s ✓ DocStringExtensions 0.7 s ✓ Gamma 22.2 s ✓ JuliaSyntax 0.6 s ✓ EnumX 0.6 s ✓ ArgCheck 2.1 s ✓ FillArrays 0.6 s ✓ IntegerMathUtils 0.5 s ✓ PtrArrays 0.7 s ✓ Requires 0.6 s ✓ NaNMath 2.0 s ✓ PDMats 0.7 s ✓ DelimitedFiles 0.9 s ✓ Compat 1.2 s ✓ Preferences 0.9 s ✓ CommonSubexpressions 0.8 s ✓ ArrayInterface 1.5 s ✓ Adapt → AdaptSparseArraysExt 1.5 s ✓ Statistics → SparseArraysExt 1.0 s ✓ Missings 0.5 s ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 0.5 s ✓ DiffResults 1.1 s ✓ Distances 4.0 s ✓ DataStructures 1.5 s ✓ InverseFunctions → InverseFunctionsTestExt 1.1 s ✓ InverseFunctions → InverseFunctionsDatesExt 0.5 s ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 1.5 s ✓ LogExpFunctions 1.8 s ✓ HypergeometricFunctions 2.1 s ✓ FillArrays → FillArraysSparseArraysExt 0.9 s ✓ FillArrays → FillArraysStatisticsExt 1.1 s ✓ Primes 0.7 s ✓ AliasTables 2.0 s ✓ FillArrays → FillArraysPDMatsExt 2.0 s ✓ Sobol 0.5 s ✓ Compat → CompatLinearAlgebraExt 1.3 s ✓ JLLWrappers 1.0 s ✓ PrecompileTools 0.9 s ✓ ArrayInterface → ArrayInterfaceFillArraysExt 0.5 s ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt 1.4 s ✓ ArrayInterface → ArrayInterfaceSparseArraysExt 1.6 s ✓ Setfield 1.4 s ✓ Distances → DistancesSparseArraysExt 1.1 s ✓ SortingAlgorithms 2.2 s ✓ QuadGK 4.0 s ✓ Accessors 0.6 s ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 2.0 s ✓ ChainRulesCore 1.1 s ✓ Functors 1.4 s ✓ Rmath_jll 1.1 s ✓ OpenSpecFun_jll 2.7 s ✓ RecipesBase 3.9 s ✓ ConcreteStructs 18.4 s ✓ CommonMark 2.5 s ✓ ADTypes 2.1 s ✓ CommonSolve 1.0 s ✓ FiniteDiff 4.7 s ✓ StatsBase 2.0 s ✓ Accessors → LinearAlgebraExt 2.0 s ✓ Accessors → TestExt 1.5 s ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 1.5 s ✓ ZygoteRules 0.6 s ✓ ArrayInterface → ArrayInterfaceChainRulesCoreExt 0.6 s ✓ Distances → DistancesChainRulesCoreExt 2.7 s ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 1.5 s ✓ Rmath 4.8 s ✓ SpecialFunctions 1.6 s ✓ CommonMark → CommonMarkMarkdownExt 2.0 s ✓ DifferentiationInterface 1.0 s ✓ ADTypes → ADTypesConstructionBaseExt 0.9 s ✓ ADTypes → ADTypesChainRulesCoreExt 1.5 s ✓ FiniteDiff → FiniteDiffSparseArraysExt 1.8 s ✓ PDMats → StatsBaseExt 16.1 s ✓ QuasiMonteCarlo 5.1 s ✓ Roots 3.7 s ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 1.9 s ✓ DiffRules 2.3 s ✓ StatsFuns 59.2 s ✓ JuliaFormatter 1.9 s ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt 0.9 s ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt 1.1 s ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt 1.0 s ✓ Roots → RootsChainRulesCoreExt 10.4 s ✓ KernelFunctions 6.9 s ✓ ForwardDiff 0.9 s ✓ StatsFuns → StatsFunsInverseFunctionsExt 3.3 s ✓ StatsFuns → StatsFunsChainRulesCoreExt 1.4 s ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 1.3 s ✓ Roots → RootsForwardDiffExt 11.0 s ✓ Distributions 2.9 s ✓ NLSolversBase 3.9 s ✓ Distributions → DistributionsChainRulesCoreExt 4.4 s ✓ Distributions → DistributionsTestExt 4.1 s ✓ QuasiMonteCarlo → QuasiMonteCarloDistributionsExt 2.8 s ✓ LineSearches 6.2 s ✓ AbstractGPs 7.3 s ✓ Optim 7.9 s ✓ AbstractBayesOpt 113 dependencies successfully precompiled in 326 seconds. 20 already precompiled. Precompilation completed after 340.43s ################################################################################ # Testing # Testing AbstractBayesOpt Status `/tmp/jl_1KoeGA/Project.toml` [735adf16] AbstractBayesOpt v0.1.5 [99985d1d] AbstractGPs v0.5.24 [dce04be8] ArgCheck v2.5.0 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.131 [1a297f60] FillArrays v1.17.0 [f6369f11] ForwardDiff v1.4.5 [98e50ef6] JuliaFormatter v2.13.0 ⌅ [ec8451be] KernelFunctions v0.10.67 ⌅ [429524aa] Optim v1.13.3 ⌅ [8a4e6c94] QuasiMonteCarlo v0.3.11 [276daf66] SpecialFunctions v2.9.0 [10745b16] Statistics v1.11.1 [37e2e46d] LinearAlgebra v1.14.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_1KoeGA/Manifest.toml` [47edcb42] ADTypes v1.24.0 [735adf16] AbstractBayesOpt v0.1.5 [99985d1d] AbstractGPs v0.5.24 [7d9f7c33] Accessors v0.1.45 [79e6a3ab] Adapt v4.7.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.30.0 [d360d2e6] ChainRulesCore v1.26.1 [a80b9123] CommonMark v1.0.4 [38540f10] CommonSolve v0.2.14 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.8 [187b0558] ConstructionBase v1.6.0 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.6 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.16.0 [a0c0ee7d] DifferentiationInterface v0.7.21 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.131 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.7 [1a297f60] FillArrays v1.17.0 [6a86dc24] FiniteDiff v2.33.0 [f6369f11] ForwardDiff v1.4.5 [d9f16b24] Functors v0.5.3 ⌃ [a0844989] Gamma v1.1.0 [c27321d9] Glob v1.5.0 [34004b35] HypergeometricFunctions v0.3.30 [18e54dd8] IntegerMathUtils v0.1.4 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.6 [692b3bcd] JLLWrappers v1.8.0 [98e50ef6] JuliaFormatter v2.13.0 [70703baa] JuliaSyntax v1.0.2 ⌅ [ec8451be] KernelFunctions v0.10.67 [73f95e8e] LatticeRules v0.0.1 ⌃ [d3d80556] LineSearches v7.5.1 ⌅ [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 [e1d29d7a] Missings v1.2.0 ⌅ [d41bc354] NLSolversBase v7.10.0 [77ba4419] NaNMath v1.1.4 ⌅ [429524aa] Optim v1.13.3 [bac558e1] OrderedCollections v2.0.1 [90014a1f] PDMats v0.11.41 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [27ebfcd6] Primes v0.5.7 [43287f4e] PtrArrays v1.4.0 [1fd47b50] QuadGK v2.11.3 ⌅ [8a4e6c94] QuasiMonteCarlo v0.3.11 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.9.0 [f2b01f46] Roots v3.0.7 [efcf1570] Setfield v1.1.2 [ed01d8cd] Sobol v1.5.0 [a2af1166] SortingAlgorithms v1.2.3 [276daf66] SpecialFunctions v2.9.0 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.13 [4c63d2b9] StatsFuns v2.2.1 [62fd8b95] TensorCore v0.1.1 [700de1a5] ZygoteRules v0.2.8 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.2+0 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.12.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.14.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.5.7+0 [4536629a] OpenBLAS_jll v0.3.34+0 [05823500] OpenLibm_jll v0.8.7+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [8e850b90] libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... GradientGP Standardization: Error During Test at /home/pkgeval/.julia/packages/AbstractBayesOpt/c7fEl/test/test_surrogates.jl:366 Got exception outside of a @test MethodError: no method matching reducedim1(::Matrix{Float64}, ::Matrix{Float64}) The function `reducedim1` exists, but no method is defined for this combination of argument types. Closest candidates are: reducedim1(::Any) @ Base reducedim.jl:1229 Stacktrace: [1] centralize_sumabs2!(R::Matrix{Float64}, A::Matrix{Float64}, means::Matrix{Float64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Matrix{Float64}, A::Matrix{Float64}, m::Matrix{Float64}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::Matrix{Float64}, m::Matrix{Float64}, corrected::Bool, region::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:341 [4] varm(A::Matrix{Float64}, m::Matrix{Float64}; corrected::Bool, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:339 [inlined] [5] _var(A::Matrix{Float64}, corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::Matrix{Float64}; corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::Matrix{Float64}, corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::Matrix{Float64}; corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:461 [inlined] [9] get_mean_std(model::GradientGP{Float64, GP{CustomMean{AbstractBayesOpt.var"#8#9"{Vector{Float64}, AbstractBayesOpt.var"#f_mean#f_mean##0"}}, gradKernel{ScaledKernel{TransformedKernel{SqExponentialKernel{Distances.Euclidean}, ScaleTransform{Float64}}, Float64}}}}, y_train::Vector{Vector{Float64}}, choice::String) @ AbstractBayesOpt ~/.julia/packages/AbstractBayesOpt/c7fEl/src/surrogates/GradientGP.jl:767 [10] top-level scope @ ~/.julia/packages/AbstractBayesOpt/c7fEl/test/test_surrogates.jl:9 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [12] macro expansion @ ~/.julia/packages/AbstractBayesOpt/c7fEl/test/test_surrogates.jl:174 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [14] macro expansion @ ~/.julia/packages/AbstractBayesOpt/c7fEl/test/test_surrogates.jl:367 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [16] macro expansion @ ~/.julia/packages/AbstractBayesOpt/c7fEl/test/test_surrogates.jl:374 [inlined] ┌ Warning: ADMatern52Kernel: computing 3rd-order derivatives of the Matérn 5/2 kernel, which is only twice differentiable. These results are only valid for hyperparameter tuning and should not be used for other purposes. └ @ AbstractBayesOpt ~/.julia/packages/AbstractBayesOpt/c7fEl/src/surrogates/GradientGP.jl:203 == BOStruct Information == Target function: #58 Domain: ContinuousDomain([-2.0], [2.0], [(-2.0, 2.0)]) Number of data points: 3 Acquisition function: ExpectedImprovement{Float64}(0.01, 0.0) Max iterations: 3 Noise level: 0.1 ========================= [ Info: Standardization choice: mean_scale [ Info: Standardization parameters: μ=10.666666666666666, σ=0.5773502691896257 [ Info: Standardization choice: scale_only [ Info: Standardization parameters: μ=0.0, σ=0.5773502691896257 [ Info: Standardization choice: mean_only [ Info: Standardization parameters: μ=10.666666666666666, σ=1.0 [ Info: Iteration #1, current min val: 0.25 [ Info: Acquisition optimized, new candidate point: 0.4580487285227391 [ Info: Iteration #2, current min val: 0.03630882390615989 [ Info: Acquisition optimized, new candidate point: 0.4678747470032959 [ Info: Iteration #3, current min val: 0.03630882390615989 [ Info: Acquisition optimized, new candidate point: 0.4219038537519636 [ Info: Standardization choice: mean_only [ Info: Standardization parameters: μ=0.5268458671363823, σ=1.0 Pred1 Mean: [0.23693371672669872, 0.4927697840066456, 1.4241747067705204] Pred2 Mean: [0.23693371672669872, 0.4927697840066456, 1.4241747067705204] Pred1 Var: [0.02589296709981359, 0.01797132349720476, 0.6193885854719752] Pred2 Var: [0.02589296709981359, 0.01797132349720476, 0.6193885854719752] [ Info: Standardization choice: mean_scale [ Info: Standardization parameters: μ=0.5268458671363823, σ=0.8227530520396963 [ Info: Standardization choice: scale_only [ Info: Standardization parameters: μ=0.0, σ=0.8227530520396963 Pred1 Mean: [0.28797670958414046, 0.5989279320022155, 1.7309868413612461] Pred2 Mean: [0.28797670958414023, 0.5989279320022151, 1.7309868413612457] Pred1 Var: [0.03825100194220932, 0.026548565382473077, 0.9150065303269448] Pred2 Var: [0.03825100194220932, 0.026548565382473077, 0.9150065303269448] GradientGP mean_only equivalence: Error During Test at /home/pkgeval/.julia/packages/AbstractBayesOpt/c7fEl/test/test_bayesian_opt.jl:366 Got exception outside of a @test MethodError: no method matching reducedim1(::Matrix{Float64}, ::Matrix{Float64}) The function `reducedim1` exists, but no method is defined for this combination of argument types. Closest candidates are: reducedim1(::Any) @ Base reducedim.jl:1229 Stacktrace: [1] centralize_sumabs2!(R::Matrix{Float64}, A::Matrix{Float64}, means::Matrix{Float64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Matrix{Float64}, A::Matrix{Float64}, m::Matrix{Float64}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::Matrix{Float64}, m::Matrix{Float64}, corrected::Bool, region::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:341 [4] varm(A::Matrix{Float64}, m::Matrix{Float64}; corrected::Bool, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:339 [inlined] [5] _var(A::Matrix{Float64}, corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::Matrix{Float64}; corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::Matrix{Float64}, corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::Matrix{Float64}; corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:461 [inlined] [9] get_mean_std(model::GradientGP{Float64, GP{CustomMean{AbstractBayesOpt.var"#8#9"{Vector{Float64}, AbstractBayesOpt.var"#f_mean#f_mean##0"}}, gradKernel{ScaledKernel{TransformedKernel{SqExponentialKernel{Distances.Euclidean}, ScaleTransform{Float64}}, Float64}}}}, y_train::Vector{Vector{Float64}}, choice::String) @ AbstractBayesOpt ~/.julia/packages/AbstractBayesOpt/c7fEl/src/surrogates/GradientGP.jl:767 [10] standardize_problem(BO::BOStruct{var"#f_val_grad#f_val_grad##2"{var"#∇f#∇f##2", var"#64#65"}, GradientGP{Float64, GP{CustomMean{AbstractBayesOpt.var"#8#9"{Vector{Float64}, AbstractBayesOpt.var"#f_mean#f_mean##0"}}, gradKernel{ScaledKernel{TransformedKernel{SqExponentialKernel{Distances.Euclidean}, ScaleTransform{Float64}}, Float64}}}}, ExpectedImprovement{Float64}, ContinuousDomain, Vector{Float64}, Vector{Float64}, Float64}, choice::String) @ AbstractBayesOpt ~/.julia/packages/AbstractBayesOpt/c7fEl/src/BO_utils.jl:48 [11] top-level scope @ ~/.julia/packages/AbstractBayesOpt/c7fEl/test/test_bayesian_opt.jl:9 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [13] macro expansion @ ~/.julia/packages/AbstractBayesOpt/c7fEl/test/test_bayesian_opt.jl:10 [inlined] [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [15] macro expansion @ ~/.julia/packages/AbstractBayesOpt/c7fEl/test/test_bayesian_opt.jl:226 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [17] macro expansion @ ~/.julia/packages/AbstractBayesOpt/c7fEl/test/test_bayesian_opt.jl:360 [inlined] [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [19] macro expansion @ ~/.julia/packages/AbstractBayesOpt/c7fEl/test/test_bayesian_opt.jl:368 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [21] macro expansion @ ~/.julia/packages/AbstractBayesOpt/c7fEl/test/test_bayesian_opt.jl:397 [inlined] [ Info: Iteration #1, current min val: 0.59 [ Info: Acquisition optimized, new candidate point: 0.6640997358611538 [ Info: Iteration #2, current min val: 0.1858832507671921 [ Info: Acquisition optimized, new candidate point: 0.6898169317728737 [ Info: Iteration #3, current min val: 0.1858832507671921 [ Info: Acquisition optimized, new candidate point: 0.6866860850869635 [ Info: Iteration #4, current min val: -0.0103281730794898 [ Info: Acquisition optimized, new candidate point: 0.7207500000000002 [ Info: Iteration #5, current min val: -0.0103281730794898 [ Info: Acquisition optimized, new candidate point: 0.7207500000000002 [ Info: Iteration #6, current min val: -0.059024784346689146 [ Info: Acquisition optimized, new candidate point: 0.7322500000000001 [ Info: Iteration #7, current min val: -0.059024784346689146 [ Info: Acquisition optimized, new candidate point: 0.7322500000000001 [ Info: Iteration #8, current min val: -0.059024784346689146 [ Info: Acquisition optimized, new candidate point: 0.7317499999999999 [ Info: Iteration #9, current min val: -0.059024784346689146 [ Info: Acquisition optimized, new candidate point: 0.7312500000000002 [ Info: Iteration #10, current min val: -0.059024784346689146 [ Info: Acquisition optimized, new candidate point: 0.7312500000000002 [ Info: Iteration #11, current min val: -0.059024784346689146 [ Info: Acquisition optimized, new candidate point: 0.73075 [ Info: Iteration #12, current min val: -0.059024784346689146 [ Info: Acquisition optimized, new candidate point: 0.73075 [ Info: Iteration #13, current min val: -0.059024784346689146 [ Info: Acquisition optimized, new candidate point: 0.73075 [ Info: Iteration #14, current min val: -0.059024784346689146 [ Info: Acquisition optimized, new candidate point: 0.7302500000000003 [ Info: Iteration #15, current min val: -0.059024784346689146 [ Info: Acquisition optimized, new candidate point: 0.7297500000000001 [ Info: Standardization choice: mean_scale [ Info: Standardization parameters: μ=6.5, σ=1.403121520040228 [ Info: Standardization choice: scale_only [ Info: Standardization parameters: μ=0.0, σ=1.403121520040228 [ Info: We reached ill-conditioning, returning NON-UPDATED GP. Killing BO loop. ┌ Warning: Caught an unexpected error during GP update: DimensionMismatch("first array has length 1 which does not match the length of the second, 2.") └ @ AbstractBayesOpt ~/.julia/packages/AbstractBayesOpt/c7fEl/src/bayesian_opt.jl:129 [ Info: We reached ill-conditioning, returning NON-UPDATED GP. Killing BO loop. ┌ Warning: Caught an unexpected error during GP update: DimensionMismatch("first array has length 1 which does not match the length of the second, 2.") └ @ AbstractBayesOpt ~/.julia/packages/AbstractBayesOpt/c7fEl/src/bayesian_opt.jl:129 Test Summary: | Pass Error Total Time AbstractBayesOpt.jl | 314 2 316 3m21.9s Domain Tests | 17 17 2.8s Surrogate Model Tests | 88 1 89 36.5s StandardGP Tests | 37 37 11.1s GradientGP Tests | 51 1 52 25.4s GradientGP Construction | 25 25 0.4s gradKernel Functionality | 8 8 5.7s GradientGP Update | 13 13 7.9s GradientGP Utility Functions | 1 1 0.0s GradientGP Standardization | 1 1 11.3s GradientGP Copy | 4 4 0.1s Matern 5/2 Tests | 42 42 48.2s Matern 7/2 Tests | 39 39 32.7s Acquisition Function Tests | 30 30 4.8s Bayesian Optimization Tests | 98 1 99 1m11.8s BOStruct Tests | 32 1 33 48.1s BOStruct Construction | 8 8 0.5s BOStruct Update | 6 6 1.7s BOStruct Utilities | 0 0.9s Hyperparameter Optimization | 1 1 23.1s Standardization | 8 8 0.7s Optimization Loop | 5 5 13.7s Standardization Equivalence Tests | 4 1 5 7.5s StandardGP Equivalence: mean_only vs prior mean | 2 2 5.1s StandardGP Equivalence: mean_scale vs scale_only + prior | 2 2 0.0s GradientGP Equivalence Tests | 1 1 2.2s GradientGP mean_only equivalence | 1 1 1.0s BO Utilities tests | 7 7 7.9s Mathematical Properties and Correctness | 59 59 15.8s RNG of the outermost testset: Xoshiro(0xa379de7eeeb2a4e8, 0x953dccb6b532b3af, 0xf597b8ff8cfd652a, 0xccd7337c571680d1, 0xc90c4a0730db3f7e) ERROR: LoadError: Some tests did not pass: 314 passed, 0 failed, 2 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/AbstractBayesOpt/c7fEl/test/runtests.jl:23 Testing failed after 220.98s ERROR: LoadError: Package AbstractBayesOpt errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3283 [3] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:587 [4] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [5] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [6] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [7] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 647.11s: package tests unexpectedly errored