Package evaluation to test AbstractBayesOpt on Julia 1.14.0-DEV.1893 (b4aba01002*) started at 2026-03-15T20:56:20.956 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 13.96s ################################################################################ # Installation # Installing AbstractBayesOpt... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [735adf16] + AbstractBayesOpt v0.1.3 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.21.0 [735adf16] + AbstractBayesOpt v0.1.3 [99985d1d] + AbstractGPs v0.5.24 [7d9f7c33] + Accessors v0.1.43 [79e6a3ab] + Adapt v4.5.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [4fba245c] + ArrayInterface v7.23.0 [d360d2e6] + ChainRulesCore v1.26.0 ⌅ [a80b9123] + CommonMark v0.10.3 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.3 [8bb1440f] + DelimitedFiles v1.9.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.16 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.123 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.7 [1a297f60] + FillArrays v1.16.0 [6a86dc24] + FiniteDiff v2.29.0 [f6369f11] + ForwardDiff v1.3.2 [d9f16b24] + Functors v0.5.2 [c27321d9] + Glob v1.4.0 [34004b35] + HypergeometricFunctions v0.3.28 [18e54dd8] + IntegerMathUtils v0.1.3 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 [98e50ef6] + JuliaFormatter v2.3.0 ⌅ [70703baa] + JuliaSyntax v0.4.10 ⌅ [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 v1.1.3 ⌅ [429524aa] + Optim v1.13.3 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.37 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.2 [27ebfcd6] + Primes v0.5.7 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.2 [8a4e6c94] + QuasiMonteCarlo v0.3.5 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [efcf1570] + Setfield v1.1.2 [ed01d8cd] + Sobol v1.5.0 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.7.1 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.10 [4c63d2b9] + StatsFuns v1.5.2 [62fd8b95] + TensorCore v0.1.1 [700de1a5] + ZygoteRules v0.2.7 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [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 v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.30+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 5.99s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 8323.0 ms ✓ AbstractBayesOpt 1 dependency successfully precompiled in 12 seconds. 126 already precompiled. 9 dependencies precompiled but different versions are currently loaded (Base64, Dates, JuliaSyntaxHighlighting, Logging, Markdown, Printf, StyledStrings, TOML and UUIDs). Restart julia to access the new versions. Otherwise, 59 dependents of these packages may trigger further precompilation to work with the unexpected versions. Precompilation completed after 35.12s ################################################################################ # Testing # Testing AbstractBayesOpt Status `/tmp/jl_D8ydP1/Project.toml` [735adf16] AbstractBayesOpt v0.1.3 [99985d1d] AbstractGPs v0.5.24 [dce04be8] ArgCheck v2.5.0 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.123 [1a297f60] FillArrays v1.16.0 [f6369f11] ForwardDiff v1.3.2 [98e50ef6] JuliaFormatter v2.3.0 ⌅ [ec8451be] KernelFunctions v0.10.67 ⌅ [429524aa] Optim v1.13.3 [8a4e6c94] QuasiMonteCarlo v0.3.5 [276daf66] SpecialFunctions v2.7.1 [10745b16] Statistics v1.11.1 [37e2e46d] LinearAlgebra v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_D8ydP1/Manifest.toml` [47edcb42] ADTypes v1.21.0 [735adf16] AbstractBayesOpt v0.1.3 [99985d1d] AbstractGPs v0.5.24 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.5.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.23.0 [d360d2e6] ChainRulesCore v1.26.0 ⌅ [a80b9123] CommonMark v0.10.3 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [187b0558] ConstructionBase v1.6.0 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.3 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.16 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.123 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.7 [1a297f60] FillArrays v1.16.0 [6a86dc24] FiniteDiff v2.29.0 [f6369f11] ForwardDiff v1.3.2 [d9f16b24] Functors v0.5.2 [c27321d9] Glob v1.4.0 [34004b35] HypergeometricFunctions v0.3.28 [18e54dd8] IntegerMathUtils v0.1.3 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.6 [692b3bcd] JLLWrappers v1.7.1 [98e50ef6] JuliaFormatter v2.3.0 ⌅ [70703baa] JuliaSyntax v0.4.10 ⌅ [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 v1.1.3 ⌅ [429524aa] Optim v1.13.3 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.37 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.2 [27ebfcd6] Primes v0.5.7 [43287f4e] PtrArrays v1.4.0 [1fd47b50] QuadGK v2.11.2 [8a4e6c94] QuasiMonteCarlo v0.3.5 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.9.0 [efcf1570] Setfield v1.1.2 [ed01d8cd] Sobol v1.5.0 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.7.1 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.10 [4c63d2b9] StatsFuns v1.5.2 [62fd8b95] TensorCore v0.1.1 [700de1a5] ZygoteRules v0.2.7 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [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 v1.3.0+1 [4536629a] OpenBLAS_jll v0.3.30+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... == BOStruct Information == Target function: #43 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: 0.45804872852303 [ Info: Iteration #2, current min val: 0.036308823906135476 [ Info: Acquisition optimized, new candidate point: 0.467874745269873 [ Info: Iteration #3, current min val: 0.036308823906135476 [ Info: Acquisition optimized, new candidate point: 0.4219038559941802 [ 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] [ Info: Standardization choice: mean_only [ Info: Standardization parameters: μ=[0.5268458671363823, 0.0, 0.0], σ=[1.0, 1.0, 1.0] [ Info: Iteration #1, current min val: 0.59 [ Info: Acquisition optimized, new candidate point: 0.6640996973616902 [ Info: Iteration #2, current min val: 0.1858832535314754 [ Info: Acquisition optimized, new candidate point: 0.6898169691460001 [ Info: Iteration #3, current min val: 0.1858832535314754 [ Info: Acquisition optimized, new candidate point: 0.6866861189373593 [ Info: Iteration #4, current min val: -0.01032817398085123 [ Info: Acquisition optimized, new candidate point: 0.7207500000000002 [ Info: Iteration #5, current min val: -0.01032817398085123 [ 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/PmpF0/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/PmpF0/src/bayesian_opt.jl:129 Test Summary: | Pass Total Time AbstractBayesOpt.jl | 332 332 3m17.9s Testing AbstractBayesOpt tests passed Testing completed after 212.54s PkgEval succeeded after 281.12s