Package evaluation of BOSS on Julia 1.13.0-DEV.974 (7bbb213719*) started at 2025-08-12T21:43:32.920 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 7.24s ################################################################################ # Installation # Installing BOSS... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [15052f3f] + BOSS v0.5.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.16.0 [99985d1d] + AbstractGPs v0.5.24 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [4fba245c] + ArrayInterface v7.19.0 [15052f3f] + BOSS v0.5.0 [76274a88] + Bijectors v0.15.8 [d360d2e6] + ChainRulesCore v1.26.0 [9e997f8a] + ChangesOfVariables v0.1.10 [38540f10] + CommonSolve v0.2.4 [34da2185] + Compat v4.18.0 [a33af91c] + CompositionsBase v0.1.2 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.6.0 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.0 [e2d170a0] + DataValueInterfaces v1.0.0 [a0c0ee7d] + DifferentiationInterface v0.7.4 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.120 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.5 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [9aa1b823] + FastClosures v0.3.2 [1a297f60] + FillArrays v1.13.0 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [d9f16b24] + Functors v0.5.2 [46192b85] + GPUArraysCore v0.2.0 [34004b35] + HypergeometricFunctions v0.3.28 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 [ae98c720] + Jieko v0.2.1 [ec8451be] + KernelFunctions v0.10.65 [5be7bae1] + LBFGSB v0.4.1 [b964fa9f] + LaTeXStrings v1.4.0 [a5e1c1ea] + LatinHypercubeSampling v1.9.0 [1d6d02ad] + LeftChildRightSiblingTrees v0.2.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [1914dd2f] + MacroTools v0.5.16 [dbb5928d] + MappedArrays v0.4.2 [e1d29d7a] + Missings v1.2.0 [2e0e35c7] + Moshi v0.3.7 [7f7a1694] + Optimization v4.5.0 [bca83a33] + OptimizationBase v2.10.0 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.5.0 [08abe8d2] + PrettyTables v2.4.0 [33c8b6b6] + ProgressLogging v0.1.5 [92933f4c] + ProgressMeter v1.10.4 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.37.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [f2b01f46] + Roots v2.2.8 [7e49a35a] + RuntimeGeneratedFunctions v0.5.15 [0bca4576] + SciMLBase v2.108.0 [c0aeaf25] + SciMLOperators v1.5.0 [53ae85a6] + SciMLStructures v1.7.0 [a2af1166] + SortingAlgorithms v1.2.2 [9f842d2f] + SparseConnectivityTracer v1.0.0 [0a514795] + SparseMatrixColorings v0.4.21 [276daf66] + SpecialFunctions v2.5.1 [860ef19b] + StableRNGs v1.0.3 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.6 [4c63d2b9] + StatsFuns v1.5.0 [892a3eda] + StringManipulation v0.4.1 [2efcf032] + SymbolicIndexingInterface v0.3.42 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [62fd8b95] + TensorCore v0.1.1 [5d786b92] + TerminalLoggers v0.1.7 [700de1a5] + ZygoteRules v0.2.7 [81d17ec3] + L_BFGS_B_jll v3.0.1+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.15.0+1 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.7.15 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.2+0 [efcefdf7] + PCRE2_jll v10.45.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 Installation completed after 4.68s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:76 Precompiling package dependencies... Precompilation completed after 357.83s ################################################################################ # Testing # Testing BOSS Test Could not use exact versions of packages in manifest, re-resolving. Note: if you do not check your manifest file into source control, then you can probably ignore this message. However, if you do check your manifest file into source control, then you probably want to pass the `allow_reresolve = false` kwarg when calling the `Pkg.test` function. Updating `/tmp/jl_iMrA3c/Project.toml` [4c88cf16] + Aqua v0.8.14 [15052f3f] + BOSS v0.5.0 [72f8369c] + OptimizationPRIMA v0.3.0 [fce5fe82] + Turing v0.39.10 Updating `/tmp/jl_iMrA3c/Manifest.toml` [47edcb42] + ADTypes v1.16.0 [621f4979] + AbstractFFTs v1.5.0 [99985d1d] + AbstractGPs v0.5.24 [80f14c24] + AbstractMCMC v5.7.2 ⌅ [7a57a42e] + AbstractPPL v0.12.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [0bf59076] + AdvancedHMC v0.8.0 [5b7e9947] + AdvancedMH v0.8.8 [576499cb] + AdvancedPS v0.7.0 [b5ca4192] + AdvancedVI v0.4.1 [4c88cf16] + Aqua v0.8.14 [dce04be8] + ArgCheck v2.5.0 [4fba245c] + ArrayInterface v7.19.0 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.7 [15052f3f] + BOSS v0.5.0 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [76274a88] + Bijectors v0.15.8 [082447d4] + ChainRules v1.72.5 [0ca39b1e] + Chairmarks v1.3.1 [9e997f8a] + ChangesOfVariables v0.1.10 [861a8166] + Combinatorics v1.0.3 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [a8cc5b0e] + Crayons v4.1.1 ⌅ [864edb3b] ↓ DataStructures v0.19.0 ⇒ v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [b429d917] + DensityInterface v0.4.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.4 [ced4e74d] + DistributionsAD v0.6.58 ⌅ [366bfd00] + DynamicPPL v0.36.15 [cad2338a] + EllipticalSliceSampling v2.0.0 [4e289a0a] + EnumX v1.0.5 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [7a1cc6ca] + FFTW v1.9.0 [9aa1b823] + FastClosures v0.3.2 [6a86dc24] + FiniteDiff v2.27.0 [f6369f11] + ForwardDiff v1.0.1 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [46192b85] + GPUArraysCore v0.2.0 [22cec73e] + InitialValues v0.3.1 [a98d9a8b] + Interpolations v0.16.1 [8197267c] + IntervalSets v0.7.11 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [682c06a0] + JSON v0.21.4 [ae98c720] + Jieko v0.2.1 [5ab0869b] + KernelDensity v0.6.10 [5be7bae1] + LBFGSB v0.4.1 [b964fa9f] + LaTeXStrings v1.4.0 [a5e1c1ea] + LatinHypercubeSampling v1.9.0 [1d6d02ad] + LeftChildRightSiblingTrees v0.2.1 [6f1fad26] + Libtask v0.9.4 [d3d80556] + LineSearches v7.4.0 [6fdf6af0] + LogDensityProblems v2.1.2 [996a588d] + LogDensityProblemsAD v1.13.1 [e6f89c97] + LoggingExtras v1.1.0 [c7f686f2] + MCMCChains v7.1.0 [be115224] + MCMCDiagnosticTools v0.3.15 [e80e1ace] + MLJModelInterface v1.12.0 [dbb5928d] + MappedArrays v0.4.2 [128add7d] + MicroCollections v0.2.0 [dbe65cb8] + MistyClosures v2.1.0 [2e0e35c7] + Moshi v0.3.7 [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 [86f7a689] + NamedArrays v0.10.4 [c020b1a1] + NaturalSort v1.0.0 [6fe1bfb0] + OffsetArrays v1.17.0 [429524aa] + Optim v1.13.2 [3bd65402] + Optimisers v0.4.6 [7f7a1694] + Optimization v4.5.0 [bca83a33] + OptimizationBase v2.10.0 [36348300] + OptimizationOptimJL v0.4.3 [72f8369c] + OptimizationPRIMA v0.3.0 [0a7d04aa] + PRIMA v0.2.4 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.3 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.2 [08abe8d2] + PrettyTables v2.4.0 [33c8b6b6] + ProgressLogging v0.1.5 [92933f4c] + ProgressMeter v1.10.4 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [b3c3ace0] + RangeArrays v0.3.2 [c84ed2f1] + Ratios v0.4.5 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.37.0 [f2b01f46] + Roots v2.2.8 [7e49a35a] + RuntimeGeneratedFunctions v0.5.15 [26aad666] + SSMProblems v0.5.1 [0bca4576] + SciMLBase v2.108.0 [c0aeaf25] + SciMLOperators v1.5.0 [53ae85a6] + SciMLStructures v1.7.0 [30f210dd] + ScientificTypesBase v3.0.0 [efcf1570] + Setfield v1.1.2 [9f842d2f] + SparseConnectivityTracer v1.0.0 [dc90abb0] + SparseInverseSubset v0.1.2 [0a514795] + SparseMatrixColorings v0.4.21 [171d559e] + SplittablesBase v0.1.15 [860ef19b] + StableRNGs v1.0.3 [90137ffa] + StaticArrays v1.9.14 [1e83bf80] + StaticArraysCore v1.4.3 [64bff920] + StatisticalTraits v3.5.0 [892a3eda] + StringManipulation v0.4.1 [09ab397b] + StructArrays v0.7.1 [2efcf032] + SymbolicIndexingInterface v0.3.42 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [5d786b92] + TerminalLoggers v0.1.7 [28d57a85] + Transducers v0.4.84 [fce5fe82] + Turing v0.39.10 [c3b1956e] + TypeUtils v1.10.0 [3a884ed6] + UnPack v1.0.2 [efce3f68] + WoodburyMatrices v1.0.0 [f5851436] + FFTW_jll v3.3.11+0 [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0 [81d17ec3] + L_BFGS_B_jll v3.0.1+0 [856f044c] + MKL_jll v2025.2.0+0 [eead6e0c] + PRIMA_jll v0.7.1+0 [1317d2d5] + oneTBB_jll v2022.0.0+0 [0dad84c5] + ArgTools v1.1.2 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [3fa0cd96] + REPL v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [a4e569a6] + Tar v1.10.0 [deac9b47] + LibCURL_jll v8.15.0+1 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.7.15 [458c3c95] + OpenSSL_jll v3.5.2+0 [efcefdf7] + PCRE2_jll v10.45.0+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Test Successfully re-resolved Status `/tmp/jl_iMrA3c/Project.toml` [4c88cf16] Aqua v0.8.14 [15052f3f] BOSS v0.5.0 [31c24e10] Distributions v0.25.120 [ec8451be] KernelFunctions v0.10.65 [72f8369c] OptimizationPRIMA v0.3.0 [fce5fe82] Turing v0.39.10 [37e2e46d] LinearAlgebra v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_iMrA3c/Manifest.toml` [47edcb42] ADTypes v1.16.0 [621f4979] AbstractFFTs v1.5.0 [99985d1d] AbstractGPs v0.5.24 [80f14c24] AbstractMCMC v5.7.2 ⌅ [7a57a42e] AbstractPPL v0.12.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [0bf59076] AdvancedHMC v0.8.0 [5b7e9947] AdvancedMH v0.8.8 [576499cb] AdvancedPS v0.7.0 [b5ca4192] AdvancedVI v0.4.1 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.14 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.19.0 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.7 [15052f3f] BOSS v0.5.0 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 [76274a88] Bijectors v0.15.8 [082447d4] ChainRules v1.72.5 [d360d2e6] ChainRulesCore v1.26.0 [0ca39b1e] Chairmarks v1.3.1 [9e997f8a] ChangesOfVariables v0.1.10 [861a8166] Combinatorics v1.0.3 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.0 [a33af91c] CompositionsBase v0.1.2 [88cd18e8] ConsoleProgressMonitor v0.1.2 [187b0558] ConstructionBase v1.6.0 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [b429d917] DensityInterface v0.4.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.4 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.120 [ced4e74d] DistributionsAD v0.6.58 [ffbed154] DocStringExtensions v0.9.5 ⌅ [366bfd00] DynamicPPL v0.36.15 [cad2338a] EllipticalSliceSampling v2.0.0 [4e289a0a] EnumX v1.0.5 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [7a1cc6ca] FFTW v1.9.0 [9aa1b823] FastClosures v0.3.2 [1a297f60] FillArrays v1.13.0 [6a86dc24] FiniteDiff v2.27.0 [f6369f11] ForwardDiff v1.0.1 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [d9f16b24] Functors v0.5.2 [46192b85] GPUArraysCore v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [22cec73e] InitialValues v0.3.1 [a98d9a8b] Interpolations v0.16.1 [8197267c] IntervalSets v0.7.11 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v0.21.4 [ae98c720] Jieko v0.2.1 [5ab0869b] KernelDensity v0.6.10 [ec8451be] KernelFunctions v0.10.65 [5be7bae1] LBFGSB v0.4.1 [b964fa9f] LaTeXStrings v1.4.0 [a5e1c1ea] LatinHypercubeSampling v1.9.0 [1d6d02ad] LeftChildRightSiblingTrees v0.2.1 [6f1fad26] Libtask v0.9.4 [d3d80556] LineSearches v7.4.0 [6fdf6af0] LogDensityProblems v2.1.2 [996a588d] LogDensityProblemsAD v1.13.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.1.0 [c7f686f2] MCMCChains v7.1.0 [be115224] MCMCDiagnosticTools v0.3.15 [e80e1ace] MLJModelInterface v1.12.0 [1914dd2f] MacroTools v0.5.16 [dbb5928d] MappedArrays v0.4.2 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [dbe65cb8] MistyClosures v2.1.0 [2e0e35c7] Moshi v0.3.7 [d41bc354] NLSolversBase v7.10.0 [77ba4419] NaNMath v1.1.3 [86f7a689] NamedArrays v0.10.4 [c020b1a1] NaturalSort v1.0.0 [6fe1bfb0] OffsetArrays v1.17.0 [429524aa] Optim v1.13.2 [3bd65402] Optimisers v0.4.6 [7f7a1694] Optimization v4.5.0 [bca83a33] OptimizationBase v2.10.0 [36348300] OptimizationOptimJL v0.4.3 [72f8369c] OptimizationPRIMA v0.3.0 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.35 [0a7d04aa] PRIMA v0.2.4 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.2 [21216c6a] 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v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.15.0+1 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.7.15 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.2+0 [efcefdf7] PCRE2_jll v10.45.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.13.1+0 [8e850ede] nghttp2_jll v1.65.0+0 [3f19e933] p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Precompiling packages... 16458.8 ms ✓ Turing → TuringOptimExt 1 dependency successfully precompiled in 21 seconds. 298 already precompiled. Persistent tasks: Test Failed at /home/pkgeval/.julia/packages/Aqua/MCcFg/src/persistent_tasks.jl:38 Expression: !(has_persistent_tasks(package; kwargs...)) Evaluated: !(has_persistent_tasks(Base.PkgId(Base.UUID("15052f3f-a82a-4ca3-bbc4-f478a3bd1ae2"), "BOSS"))) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:745 [inlined] [2] test_persistent_tasks(package::Base.PkgId; broken::Bool, kwargs::@Kwargs{}) @ Aqua ~/.julia/packages/Aqua/MCcFg/src/persistent_tasks.jl:38 [3] test_persistent_tasks @ ~/.julia/packages/Aqua/MCcFg/src/persistent_tasks.jl:34 [inlined] [4] #test_persistent_tasks#57 @ ~/.julia/packages/Aqua/MCcFg/src/persistent_tasks.jl:43 [inlined] [5] test_persistent_tasks @ ~/.julia/packages/Aqua/MCcFg/src/persistent_tasks.jl:42 [inlined] [6] macro expansion @ ~/.julia/packages/Aqua/MCcFg/src/Aqua.jl:109 [inlined] [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [8] test_all(testtarget::Module; ambiguities::Bool, unbound_args::Bool, undefined_exports::Bool, project_extras::Bool, stale_deps::Bool, deps_compat::Bool, piracies::Bool, persistent_tasks::Bool, undocumented_names::Bool) @ Aqua ~/.julia/packages/Aqua/MCcFg/src/Aqua.jl:109 [ Info: Running Unit Tests ... [ Info: Testing /home/pkgeval/.julia/packages/BOSS/UEGTN/test/unit/test/acquisitions/expected_improvement.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/UEGTN/test/unit/test/models/gaussian_process.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/UEGTN/test/unit/test/models/parametric.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/UEGTN/test/unit/test/models/semiparametric.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/UEGTN/test/unit/test/models/utils/kernels.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/UEGTN/test/unit/test/posterior.jl average_mean(posteriors): Error During Test at /home/pkgeval/.julia/packages/BOSS/UEGTN/test/unit/test/posterior.jl:2 Got exception outside of a @test FieldError: type Compiler.IRCode has no field `linetable`, available fields: `stmts`, `argtypes`, `sptypes`, `debuginfo`, `cfg`, `new_nodes`, `meta`, `valid_worlds` Stacktrace: [1] getproperty @ ./Base_compiler.jl:57 [inlined] [2] Libtask.BasicBlockCode.BBCode(ir::Compiler.IRCode, new_blocks::Vector{Libtask.BasicBlockCode.BBlock}) @ Libtask.BasicBlockCode ~/.julia/packages/Libtask/Sf4tJ/src/bbcode.jl:152 [3] Libtask.BasicBlockCode.BBCode(ir::Compiler.IRCode) @ Libtask.BasicBlockCode ~/.julia/packages/Libtask/Sf4tJ/src/bbcode.jl:289 [4] build_callable(sig::Type{Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}}) @ Libtask ~/.julia/packages/Libtask/Sf4tJ/src/copyable_task.jl:89 [5] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}; kwargs::@Kwargs{}) @ Libtask ~/.julia/packages/Libtask/Sf4tJ/src/copyable_task.jl:282 [6] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}) @ Libtask ~/.julia/packages/Libtask/Sf4tJ/src/copyable_task.jl:279 [7] #TapedTask#55 @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:62 [inlined] [8] TapedTask @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:61 [inlined] [9] AdvancedPS.LibtaskModel(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/mkUwY/ext/AdvancedPSLibtaskExt.jl:38 [10] AdvancedPS.Trace(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/mkUwY/ext/AdvancedPSLibtaskExt.jl:84 [11] AdvancedPS.Trace(model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, varinfo::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, rng::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ Turing.Inference ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:471 [12] (::Turing.Inference.var"#65#66"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}})(::Int64) @ Turing.Inference ./none:-1 [13] iterate @ ./generator.jl:48 [inlined] [14] collect(itr::Base.Generator{UnitRange{Int64}, Turing.Inference.var"#65#66"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}}}) @ Base ./array.jl:803 [15] initialstep(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}; kwargs::@Kwargs{initial_params::Nothing}) @ Turing.Inference ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:325 [16] kwcall(::@NamedTuple{initial_params::Nothing}, ::typeof(DynamicPPL.initialstep), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}) @ Turing.Inference ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:311 [17] step(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; initial_params::Nothing, kwargs::@Kwargs{}) @ DynamicPPL ~/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:125 [18] macro expansion @ ~/.julia/packages/AbstractMCMC/7f1oY/src/sample.jl:0 [inlined] [19] (::AbstractMCMC.var"#25#26"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64})() @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/logging.jl:134 [20] with_logstate(f::AbstractMCMC.var"#25#26"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64}, logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:540 [21] with_logger(f::Function, logger::LoggingExtras.TeeLogger{Tuple{LoggingExtras.EarlyFilteredLogger{TerminalLoggers.TerminalLogger, AbstractMCMC.var"#with_progresslogger##0#with_progresslogger##1"{Module}}, LoggingExtras.EarlyFilteredLogger{Base.CoreLogging.ConsoleLogger, AbstractMCMC.var"#with_progresslogger##2#with_progresslogger##3"{Module}}}}) @ Base.CoreLogging ./logging/logging.jl:651 [22] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/logging.jl:157 [23] macro expansion @ ~/.julia/packages/AbstractMCMC/7f1oY/src/logging.jl:133 [inlined] [24] mcmcsample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; progress::Bool, progressname::String, callback::Nothing, num_warmup::Int64, discard_initial::Int64, thinning::Int64, chain_type::Type, initial_state::Nothing, kwargs::@Kwargs{}) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/sample.jl:151 [25] kwcall(::@NamedTuple{chain_type::UnionAll, initial_state::Nothing, progress::Bool}, ::typeof(AbstractMCMC.mcmcsample), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/sample.jl:109 [26] sample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; chain_type::Type, resume_from::Nothing, initial_state::Nothing, kwargs::@Kwargs{progress::Bool}) @ DynamicPPL ~/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:102 [27] sample @ ~/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:92 [inlined] [28] #sample#106 @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:29 [inlined] [29] sample @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:20 [inlined] [30] #sample#105 @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:17 [inlined] [31] sample @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:14 [inlined] [32] #sample_chains##0 @ ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:77 [inlined] [33] _mapreduce(f::TuringExt.var"#sample_chains##0#sample_chains##1"{TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, Int64}, op::typeof(chainscat), ::IndexLinear, A::UnitRange{Int64}) @ Base ./reduce.jl:439 [34] _mapreduce_dim @ ./reducedim.jl:338 [inlined] [35] mapreduce @ ./reducedim.jl:330 [inlined] [36] sample_chains(turing::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, turing_model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, ExperimentData{Matrix{Float64}}, Int64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}) @ TuringExt ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:77 [37] _estimate_parameters(turing::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, problem::BossProblem{Missing}, options::BossOptions; return_all::Bool) @ TuringExt ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:48 [38] _estimate_parameters @ ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:38 [inlined] [39] #18 @ ./broadcast.jl:1335 [inlined] [40] _broadcast_getindex_evalf @ ./broadcast.jl:701 [inlined] [41] _broadcast_getindex @ ./broadcast.jl:674 [inlined] [42] _getindex @ ./broadcast.jl:622 [inlined] [43] getindex @ ./broadcast.jl:618 [inlined] [44] copy @ ./broadcast.jl:935 [inlined] [45] materialize(bc::Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1}, Nothing, Base.Broadcast.var"#18#19"{@Kwargs{return_all::Bool}, typeof(TuringExt._estimate_parameters)}, Tuple{Base.RefValue{TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}}, Vector{BossProblem{Missing}}, Base.RefValue{BossOptions}}}) @ Base.Broadcast ./broadcast.jl:896 [46] estimate_parameters(turing::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, problem::BossProblem{var"#562#563"}, options::BossOptions; return_all::Bool) @ TuringExt ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:29 [47] estimate_parameters @ ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:23 [inlined] [48] estimate_parameters!(problem::BossProblem{var"#562#563"}, model_fitter::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; options::BossOptions) @ BOSS ~/.julia/packages/BOSS/UEGTN/src/bo.jl:83 [49] kwcall(::@NamedTuple{options::BossOptions}, ::typeof(estimate_parameters!), problem::BossProblem{var"#562#563"}, model_fitter::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}) @ BOSS ~/.julia/packages/BOSS/UEGTN/src/bo.jl:81 [50] top-level scope @ ~/.julia/packages/BOSS/UEGTN/test/unit/test/posterior.jl:3 [51] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [52] macro expansion @ ~/.julia/packages/BOSS/UEGTN/test/unit/test/posterior.jl:25 [inlined] [53] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:312 [54] IncludeInto @ ./Base.jl:313 [inlined] [55] macro expansion @ ~/.julia/packages/BOSS/UEGTN/test/unit/runtests.jl:9 [inlined] [56] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [57] include_unit_tests(dir::String) @ Main ~/.julia/packages/BOSS/UEGTN/test/unit/runtests.jl:9 [58] top-level scope @ ~/.julia/packages/BOSS/UEGTN/test/unit/runtests.jl:20 [59] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [60] macro expansion @ ~/.julia/packages/BOSS/UEGTN/test/unit/runtests.jl:21 [inlined] [61] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:312 [62] top-level scope @ ~/.julia/packages/BOSS/UEGTN/test/runtests.jl:18 [63] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [64] macro expansion @ ~/.julia/packages/BOSS/UEGTN/test/runtests.jl:22 [inlined] [65] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:312 [66] top-level scope @ none:6 [67] eval(m::Module, e::Any) @ Core ./boot.jl:489 [68] exec_options(opts::Base.JLOptions) @ Base ./client.jl:286 [69] _start() @ Base ./client.jl:553 [ Info: Testing /home/pkgeval/.julia/packages/BOSS/UEGTN/test/unit/test/term_conds/iter_limit.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/UEGTN/test/unit/test/types/domain.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/UEGTN/test/unit/test/utils/distributions.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/UEGTN/test/unit/test/utils/utils.jl Precompiling packages... 4539.9 ms ✓ OptimizationPRIMA 1 dependency successfully precompiled in 5 seconds. 115 already precompiled. [ Info: Running Combinatorial Tests ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [18.712108903198487] : [6.182404290385837, 1.9455349052028679] [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [3.5358176492612614] : [1.0612341787534487, -3.035044597204206] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... Test 2: Error During Test at /home/pkgeval/.julia/packages/BOSS/UEGTN/test/combinatorial/runtests.jl:21 Test threw exception Expression: script() isa AbstractVector{<:Real} FieldError: type Compiler.IRCode has no field `linetable`, available fields: `stmts`, `argtypes`, `sptypes`, `debuginfo`, `cfg`, `new_nodes`, `meta`, `valid_worlds` Stacktrace: [1] getproperty @ ./Base_compiler.jl:57 [inlined] [2] Libtask.BasicBlockCode.BBCode(ir::Compiler.IRCode, new_blocks::Vector{Libtask.BasicBlockCode.BBlock}) @ Libtask.BasicBlockCode ~/.julia/packages/Libtask/Sf4tJ/src/bbcode.jl:152 [3] Libtask.BasicBlockCode.BBCode(ir::Compiler.IRCode) @ Libtask.BasicBlockCode ~/.julia/packages/Libtask/Sf4tJ/src/bbcode.jl:289 [4] build_callable(sig::Type{Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}}) @ Libtask ~/.julia/packages/Libtask/Sf4tJ/src/copyable_task.jl:89 [5] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}; kwargs::@Kwargs{}) @ Libtask ~/.julia/packages/Libtask/Sf4tJ/src/copyable_task.jl:282 [6] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}) @ Libtask ~/.julia/packages/Libtask/Sf4tJ/src/copyable_task.jl:279 [7] #TapedTask#55 @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:62 [inlined] [8] TapedTask @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:61 [inlined] [9] AdvancedPS.LibtaskModel(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/mkUwY/ext/AdvancedPSLibtaskExt.jl:38 [10] AdvancedPS.Trace(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/mkUwY/ext/AdvancedPSLibtaskExt.jl:84 [11] AdvancedPS.Trace(model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, varinfo::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, rng::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ Turing.Inference ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:471 [12] (::Turing.Inference.var"#65#66"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}})(::Int64) @ Turing.Inference ./none:-1 [13] iterate @ ./generator.jl:48 [inlined] [14] collect(itr::Base.Generator{UnitRange{Int64}, Turing.Inference.var"#65#66"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}}}) @ Base ./array.jl:803 [15] initialstep(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}; kwargs::@Kwargs{initial_params::Nothing}) @ Turing.Inference ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:325 [16] kwcall(::@NamedTuple{initial_params::Nothing}, ::typeof(DynamicPPL.initialstep), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}) @ Turing.Inference ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:311 [17] step(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; initial_params::Nothing, kwargs::@Kwargs{}) @ DynamicPPL ~/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:125 [18] macro expansion @ ~/.julia/packages/AbstractMCMC/7f1oY/src/sample.jl:0 [inlined] [19] (::AbstractMCMC.var"#25#26"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64})() @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/logging.jl:134 [20] with_logstate(f::AbstractMCMC.var"#25#26"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64}, logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:540 [21] with_logger(f::Function, logger::LoggingExtras.TeeLogger{Tuple{LoggingExtras.EarlyFilteredLogger{TerminalLoggers.TerminalLogger, AbstractMCMC.var"#with_progresslogger##0#with_progresslogger##1"{Module}}, LoggingExtras.EarlyFilteredLogger{Base.CoreLogging.ConsoleLogger, AbstractMCMC.var"#with_progresslogger##2#with_progresslogger##3"{Module}}}}) @ Base.CoreLogging ./logging/logging.jl:651 [22] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/logging.jl:157 [23] macro expansion @ ~/.julia/packages/AbstractMCMC/7f1oY/src/logging.jl:133 [inlined] [24] mcmcsample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; progress::Bool, progressname::String, callback::Nothing, num_warmup::Int64, discard_initial::Int64, thinning::Int64, chain_type::Type, initial_state::Nothing, kwargs::@Kwargs{}) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/sample.jl:151 [25] kwcall(::@NamedTuple{chain_type::UnionAll, initial_state::Nothing, progress::Bool}, ::typeof(AbstractMCMC.mcmcsample), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/sample.jl:109 [26] sample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; chain_type::Type, resume_from::Nothing, initial_state::Nothing, kwargs::@Kwargs{progress::Bool}) @ DynamicPPL ~/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:102 [27] sample @ ~/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:92 [inlined] [28] #sample#106 @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:29 [inlined] [29] sample @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:20 [inlined] [30] #sample#105 @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:17 [inlined] [31] sample @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:14 [inlined] [32] #sample_chains##0 @ ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:77 [inlined] [33] _mapreduce(f::TuringExt.var"#sample_chains##0#sample_chains##1"{TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, Int64}, op::typeof(chainscat), ::IndexLinear, A::UnitRange{Int64}) @ Base ./reduce.jl:439 [34] _mapreduce_dim @ ./reducedim.jl:338 [inlined] [35] mapreduce @ ./reducedim.jl:330 [inlined] [36] sample_chains(turing::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, turing_model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}) @ TuringExt ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:77 [37] _estimate_parameters(turing::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, problem::BossProblem{Missing}, options::BossOptions; return_all::Bool) @ TuringExt ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:48 [38] _estimate_parameters @ ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:38 [inlined] [39] estimate_parameters(turing::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, problem::BossProblem{Missing}, options::BossOptions; return_all::Bool) @ TuringExt ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:34 [40] estimate_parameters @ ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:23 [inlined] [41] estimate_parameters!(problem::BossProblem{Missing}, model_fitter::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; options::BossOptions) @ BOSS ~/.julia/packages/BOSS/UEGTN/src/bo.jl:83 [42] estimate_parameters! @ ~/.julia/packages/BOSS/UEGTN/src/bo.jl:81 [inlined] [43] #bo!#36 @ ~/.julia/packages/BOSS/UEGTN/src/bo.jl:56 [inlined] [44] bo! @ ~/.julia/packages/BOSS/UEGTN/src/bo.jl:50 [inlined] [45] (::var"#create_problem##0#create_problem##1"{BossOptions, GridAM, TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, BossProblem{Missing}})() @ Main ~/.julia/packages/BOSS/UEGTN/test/combinatorial/dummy_problem.jl:16 [46] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined] [47] macro expansion @ ~/.julia/packages/BOSS/UEGTN/test/combinatorial/runtests.jl:21 [inlined] [48] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [49] macro expansion @ ~/.julia/packages/BOSS/UEGTN/test/combinatorial/runtests.jl:18 [inlined] [50] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [51] top-level scope @ ~/.julia/packages/BOSS/UEGTN/test/combinatorial/runtests.jl:11 [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [19.0] : [6.2541126246531995, 2.3417736804205305] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [18.849999999999998] : [6.591278201474346, 2.017441727735297] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [2.0] : [-1.0677146520701721, -3.475698947487927] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... Test 8: Error During Test at /home/pkgeval/.julia/packages/BOSS/UEGTN/test/combinatorial/runtests.jl:23 Test threw exception Expression: script() isa BossProblem FieldError: type Compiler.IRCode has no field `linetable`, available fields: `stmts`, `argtypes`, `sptypes`, `debuginfo`, `cfg`, `new_nodes`, `meta`, `valid_worlds` Stacktrace: [1] getproperty @ ./Base_compiler.jl:57 [inlined] [2] Libtask.BasicBlockCode.BBCode(ir::Compiler.IRCode, new_blocks::Vector{Libtask.BasicBlockCode.BBlock}) @ Libtask.BasicBlockCode ~/.julia/packages/Libtask/Sf4tJ/src/bbcode.jl:152 [3] Libtask.BasicBlockCode.BBCode(ir::Compiler.IRCode) @ Libtask.BasicBlockCode ~/.julia/packages/Libtask/Sf4tJ/src/bbcode.jl:289 [4] build_callable(sig::Type{Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}}) @ Libtask ~/.julia/packages/Libtask/Sf4tJ/src/copyable_task.jl:89 [5] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}; kwargs::@Kwargs{}) @ Libtask ~/.julia/packages/Libtask/Sf4tJ/src/copyable_task.jl:282 [6] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}) @ Libtask ~/.julia/packages/Libtask/Sf4tJ/src/copyable_task.jl:279 [7] #TapedTask#55 @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:62 [inlined] [8] TapedTask @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:61 [inlined] [9] AdvancedPS.LibtaskModel(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/mkUwY/ext/AdvancedPSLibtaskExt.jl:38 [10] AdvancedPS.Trace(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/mkUwY/ext/AdvancedPSLibtaskExt.jl:84 [11] AdvancedPS.Trace(model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, varinfo::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, rng::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ Turing.Inference ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:471 [12] (::Turing.Inference.var"#65#66"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}})(::Int64) @ Turing.Inference ./none:-1 [13] iterate @ ./generator.jl:48 [inlined] [14] collect(itr::Base.Generator{UnitRange{Int64}, Turing.Inference.var"#65#66"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}}}) @ Base ./array.jl:803 [15] initialstep(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}; kwargs::@Kwargs{initial_params::Nothing}) @ Turing.Inference ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:325 [16] kwcall(::@NamedTuple{initial_params::Nothing}, ::typeof(DynamicPPL.initialstep), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}) @ Turing.Inference ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:311 [17] step(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; initial_params::Nothing, kwargs::@Kwargs{}) @ DynamicPPL ~/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:125 [18] macro expansion @ ~/.julia/packages/AbstractMCMC/7f1oY/src/sample.jl:0 [inlined] [19] (::AbstractMCMC.var"#25#26"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64})() @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/logging.jl:134 [20] with_logstate(f::AbstractMCMC.var"#25#26"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64}, logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:540 [21] with_logger(f::Function, logger::LoggingExtras.TeeLogger{Tuple{LoggingExtras.EarlyFilteredLogger{TerminalLoggers.TerminalLogger, AbstractMCMC.var"#with_progresslogger##0#with_progresslogger##1"{Module}}, LoggingExtras.EarlyFilteredLogger{Base.CoreLogging.ConsoleLogger, AbstractMCMC.var"#with_progresslogger##2#with_progresslogger##3"{Module}}}}) @ Base.CoreLogging ./logging/logging.jl:651 [22] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/logging.jl:157 [23] macro expansion @ ~/.julia/packages/AbstractMCMC/7f1oY/src/logging.jl:133 [inlined] [24] mcmcsample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; progress::Bool, progressname::String, callback::Nothing, num_warmup::Int64, discard_initial::Int64, thinning::Int64, chain_type::Type, initial_state::Nothing, kwargs::@Kwargs{}) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/sample.jl:151 [25] kwcall(::@NamedTuple{chain_type::UnionAll, initial_state::Nothing, progress::Bool}, ::typeof(AbstractMCMC.mcmcsample), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/sample.jl:109 [26] sample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; chain_type::Type, resume_from::Nothing, initial_state::Nothing, kwargs::@Kwargs{progress::Bool}) @ DynamicPPL ~/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:102 [27] sample @ ~/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:92 [inlined] [28] #sample#106 @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:29 [inlined] [29] sample @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:20 [inlined] [30] #sample#105 @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:17 [inlined] [31] sample @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:14 [inlined] [32] #sample_chains##0 @ ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:77 [inlined] [33] _mapreduce(f::TuringExt.var"#sample_chains##0#sample_chains##1"{TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, Int64}, op::typeof(chainscat), ::IndexLinear, A::UnitRange{Int64}) @ Base ./reduce.jl:439 [34] _mapreduce_dim @ ./reducedim.jl:338 [inlined] [35] mapreduce @ ./reducedim.jl:330 [inlined] [36] sample_chains(turing::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, turing_model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}) @ TuringExt ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:77 [37] _estimate_parameters(turing::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, problem::BossProblem{typeof(Main.InputValues.OBJ_FUNC)}, options::BossOptions; return_all::Bool) @ TuringExt ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:48 [38] _estimate_parameters @ ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:38 [inlined] [39] estimate_parameters(turing::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, problem::BossProblem{typeof(Main.InputValues.OBJ_FUNC)}, options::BossOptions; return_all::Bool) @ TuringExt ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:34 [40] estimate_parameters @ ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:23 [inlined] [41] estimate_parameters!(problem::BossProblem{typeof(Main.InputValues.OBJ_FUNC)}, model_fitter::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; options::BossOptions) @ BOSS ~/.julia/packages/BOSS/UEGTN/src/bo.jl:83 [42] estimate_parameters! @ ~/.julia/packages/BOSS/UEGTN/src/bo.jl:81 [inlined] [43] bo!(problem::BossProblem{typeof(Main.InputValues.OBJ_FUNC)}; model_fitter::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, acq_maximizer::SamplingAM, term_cond::IterLimit, options::BossOptions) @ BOSS ~/.julia/packages/BOSS/UEGTN/src/bo.jl:37 [44] bo! @ ~/.julia/packages/BOSS/UEGTN/src/bo.jl:30 [inlined] [45] (::var"#create_problem##2#create_problem##3"{IterLimit, BossOptions, SamplingAM, TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, BossProblem{typeof(Main.InputValues.OBJ_FUNC)}})() @ Main ~/.julia/packages/BOSS/UEGTN/test/combinatorial/dummy_problem.jl:22 [46] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined] [47] macro expansion @ ~/.julia/packages/BOSS/UEGTN/test/combinatorial/runtests.jl:23 [inlined] [48] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [49] macro expansion @ ~/.julia/packages/BOSS/UEGTN/test/combinatorial/runtests.jl:18 [inlined] [50] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [51] top-level scope @ ~/.julia/packages/BOSS/UEGTN/test/combinatorial/runtests.jl:11 [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [17.0] : [-4.531655878978617, 1.0359531013966152] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... Test 11: Error During Test at /home/pkgeval/.julia/packages/BOSS/UEGTN/test/combinatorial/runtests.jl:21 Test threw exception Expression: script() isa AbstractVector{<:Real} FieldError: type Compiler.IRCode has no field `linetable`, available fields: `stmts`, `argtypes`, `sptypes`, `debuginfo`, `cfg`, `new_nodes`, `meta`, `valid_worlds` Stacktrace: [1] getproperty @ ./Base_compiler.jl:57 [inlined] [2] Libtask.BasicBlockCode.BBCode(ir::Compiler.IRCode, new_blocks::Vector{Libtask.BasicBlockCode.BBlock}) @ Libtask.BasicBlockCode ~/.julia/packages/Libtask/Sf4tJ/src/bbcode.jl:152 [3] Libtask.BasicBlockCode.BBCode(ir::Compiler.IRCode) @ Libtask.BasicBlockCode ~/.julia/packages/Libtask/Sf4tJ/src/bbcode.jl:289 [4] build_callable(sig::Type{Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}}) @ Libtask ~/.julia/packages/Libtask/Sf4tJ/src/copyable_task.jl:89 [5] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}; kwargs::@Kwargs{}) @ Libtask ~/.julia/packages/Libtask/Sf4tJ/src/copyable_task.jl:282 [6] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}) @ Libtask ~/.julia/packages/Libtask/Sf4tJ/src/copyable_task.jl:279 [7] #TapedTask#55 @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:62 [inlined] [8] TapedTask @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:61 [inlined] [9] AdvancedPS.LibtaskModel(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/mkUwY/ext/AdvancedPSLibtaskExt.jl:38 [10] AdvancedPS.Trace(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/mkUwY/ext/AdvancedPSLibtaskExt.jl:84 [11] AdvancedPS.Trace(model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, varinfo::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, rng::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ Turing.Inference ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:471 [12] (::Turing.Inference.var"#65#66"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}})(::Int64) @ Turing.Inference ./none:-1 [13] iterate @ ./generator.jl:48 [inlined] [14] collect(itr::Base.Generator{UnitRange{Int64}, Turing.Inference.var"#65#66"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}}}) @ Base ./array.jl:803 [15] initialstep(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}; kwargs::@Kwargs{initial_params::Nothing}) @ Turing.Inference ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:325 [16] kwcall(::@NamedTuple{initial_params::Nothing}, ::typeof(DynamicPPL.initialstep), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}) @ Turing.Inference ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:311 [17] step(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; initial_params::Nothing, kwargs::@Kwargs{}) @ DynamicPPL ~/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:125 [18] macro expansion @ ~/.julia/packages/AbstractMCMC/7f1oY/src/sample.jl:0 [inlined] [19] (::AbstractMCMC.var"#25#26"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64})() @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/logging.jl:134 [20] with_logstate(f::AbstractMCMC.var"#25#26"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64}, logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:540 [21] with_logger(f::Function, logger::LoggingExtras.TeeLogger{Tuple{LoggingExtras.EarlyFilteredLogger{TerminalLoggers.TerminalLogger, AbstractMCMC.var"#with_progresslogger##0#with_progresslogger##1"{Module}}, LoggingExtras.EarlyFilteredLogger{Base.CoreLogging.ConsoleLogger, AbstractMCMC.var"#with_progresslogger##2#with_progresslogger##3"{Module}}}}) @ Base.CoreLogging ./logging/logging.jl:651 [22] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/logging.jl:157 [23] macro expansion @ ~/.julia/packages/AbstractMCMC/7f1oY/src/logging.jl:133 [inlined] [24] mcmcsample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; progress::Bool, progressname::String, callback::Nothing, num_warmup::Int64, discard_initial::Int64, thinning::Int64, chain_type::Type, initial_state::Nothing, kwargs::@Kwargs{}) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/sample.jl:151 [25] kwcall(::@NamedTuple{chain_type::UnionAll, initial_state::Nothing, progress::Bool}, ::typeof(AbstractMCMC.mcmcsample), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/sample.jl:109 [26] sample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; chain_type::Type, resume_from::Nothing, initial_state::Nothing, kwargs::@Kwargs{progress::Bool}) @ DynamicPPL ~/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:102 [27] sample @ ~/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:92 [inlined] [28] #sample#106 @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:29 [inlined] [29] sample @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:20 [inlined] [30] #sample#105 @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:17 [inlined] [31] sample @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:14 [inlined] [32] #sample_chains##0 @ ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:77 [inlined] [33] _mapreduce(f::TuringExt.var"#sample_chains##0#sample_chains##1"{TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, Int64}, op::typeof(chainscat), ::IndexLinear, A::UnitRange{Int64}) @ Base ./reduce.jl:439 [34] _mapreduce_dim @ ./reducedim.jl:338 [inlined] [35] mapreduce @ ./reducedim.jl:330 [inlined] [36] sample_chains(turing::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, turing_model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}) @ TuringExt ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:77 [37] _estimate_parameters(turing::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, problem::BossProblem{Missing}, options::BossOptions; return_all::Bool) @ TuringExt ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:48 [38] _estimate_parameters @ ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:38 [inlined] [39] estimate_parameters(turing::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, problem::BossProblem{Missing}, options::BossOptions; return_all::Bool) @ TuringExt ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:34 [40] estimate_parameters @ ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:23 [inlined] [41] estimate_parameters!(problem::BossProblem{Missing}, model_fitter::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; options::BossOptions) @ BOSS ~/.julia/packages/BOSS/UEGTN/src/bo.jl:83 [42] estimate_parameters! @ ~/.julia/packages/BOSS/UEGTN/src/bo.jl:81 [inlined] [43] #bo!#36 @ ~/.julia/packages/BOSS/UEGTN/src/bo.jl:56 [inlined] [44] bo! @ ~/.julia/packages/BOSS/UEGTN/src/bo.jl:50 [inlined] [45] (::var"#create_problem##0#create_problem##1"{BossOptions, OptimizationAM{BOBYQA, Int64}, TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, BossProblem{Missing}})() @ Main ~/.julia/packages/BOSS/UEGTN/test/combinatorial/dummy_problem.jl:16 [46] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined] [47] macro expansion @ ~/.julia/packages/BOSS/UEGTN/test/combinatorial/runtests.jl:21 [inlined] [48] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [49] macro expansion @ ~/.julia/packages/BOSS/UEGTN/test/combinatorial/runtests.jl:18 [inlined] [50] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [51] top-level scope @ ~/.julia/packages/BOSS/UEGTN/test/combinatorial/runtests.jl:11 [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [17.0] : [-4.4804159288841845, 1.0494298261354809] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Estimating model parameters ... Test 15: Error During Test at /home/pkgeval/.julia/packages/BOSS/UEGTN/test/combinatorial/runtests.jl:23 Test threw exception Expression: script() isa BossProblem FieldError: type Compiler.IRCode has no field `linetable`, available fields: `stmts`, `argtypes`, `sptypes`, `debuginfo`, `cfg`, `new_nodes`, `meta`, `valid_worlds` Stacktrace: [1] getproperty @ ./Base_compiler.jl:57 [inlined] [2] Libtask.BasicBlockCode.BBCode(ir::Compiler.IRCode, new_blocks::Vector{Libtask.BasicBlockCode.BBlock}) @ Libtask.BasicBlockCode ~/.julia/packages/Libtask/Sf4tJ/src/bbcode.jl:152 [3] Libtask.BasicBlockCode.BBCode(ir::Compiler.IRCode) @ Libtask.BasicBlockCode ~/.julia/packages/Libtask/Sf4tJ/src/bbcode.jl:289 [4] build_callable(sig::Type{Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}}) @ Libtask ~/.julia/packages/Libtask/Sf4tJ/src/copyable_task.jl:89 [5] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}; kwargs::@Kwargs{}) @ Libtask ~/.julia/packages/Libtask/Sf4tJ/src/copyable_task.jl:282 [6] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}) @ Libtask ~/.julia/packages/Libtask/Sf4tJ/src/copyable_task.jl:279 [7] #TapedTask#55 @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:62 [inlined] [8] TapedTask @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:61 [inlined] [9] AdvancedPS.LibtaskModel(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/mkUwY/ext/AdvancedPSLibtaskExt.jl:38 [10] AdvancedPS.Trace(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/mkUwY/ext/AdvancedPSLibtaskExt.jl:84 [11] AdvancedPS.Trace(model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, varinfo::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}, rng::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ Turing.Inference ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:471 [12] (::Turing.Inference.var"#65#66"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}})(::Int64) @ Turing.Inference ./none:-1 [13] iterate @ ./generator.jl:48 [inlined] [14] collect(itr::Base.Generator{UnitRange{Int64}, Turing.Inference.var"#65#66"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}}}) @ Base ./array.jl:803 [15] initialstep(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}; kwargs::@Kwargs{initial_params::Nothing}) @ Turing.Inference ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:325 [16] kwcall(::@NamedTuple{initial_params::Nothing}, ::typeof(DynamicPPL.initialstep), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, Float64}) @ Turing.Inference ~/.julia/packages/Turing/EEhvQ/src/mcmc/particle_mcmc.jl:311 [17] step(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; initial_params::Nothing, kwargs::@Kwargs{}) @ DynamicPPL ~/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:125 [18] macro expansion @ ~/.julia/packages/AbstractMCMC/7f1oY/src/sample.jl:0 [inlined] [19] (::AbstractMCMC.var"#25#26"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64})() @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/logging.jl:134 [20] with_logstate(f::AbstractMCMC.var"#25#26"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64}, logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:540 [21] with_logger(f::Function, logger::LoggingExtras.TeeLogger{Tuple{LoggingExtras.EarlyFilteredLogger{TerminalLoggers.TerminalLogger, AbstractMCMC.var"#with_progresslogger##0#with_progresslogger##1"{Module}}, LoggingExtras.EarlyFilteredLogger{Base.CoreLogging.ConsoleLogger, AbstractMCMC.var"#with_progresslogger##2#with_progresslogger##3"{Module}}}}) @ Base.CoreLogging ./logging/logging.jl:651 [22] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/logging.jl:157 [23] macro expansion @ ~/.julia/packages/AbstractMCMC/7f1oY/src/logging.jl:133 [inlined] [24] mcmcsample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; progress::Bool, progressname::String, callback::Nothing, num_warmup::Int64, discard_initial::Int64, thinning::Int64, chain_type::Type, initial_state::Nothing, kwargs::@Kwargs{}) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/sample.jl:151 [25] kwcall(::@NamedTuple{chain_type::UnionAll, initial_state::Nothing, progress::Bool}, ::typeof(AbstractMCMC.mcmcsample), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/7f1oY/src/sample.jl:109 [26] sample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; chain_type::Type, resume_from::Nothing, initial_state::Nothing, kwargs::@Kwargs{progress::Bool}) @ DynamicPPL ~/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:102 [27] sample @ ~/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:92 [inlined] [28] #sample#106 @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:29 [inlined] [29] sample @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:20 [inlined] [30] #sample#105 @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:17 [inlined] [31] sample @ ~/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:14 [inlined] [32] #sample_chains##0 @ ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:77 [inlined] [33] _mapreduce(f::TuringExt.var"#sample_chains##0#sample_chains##1"{TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}, Int64}, op::typeof(chainscat), ::IndexLinear, A::UnitRange{Int64}) @ Base ./reduce.jl:439 [34] _mapreduce_dim @ ./reducedim.jl:338 [inlined] [35] mapreduce @ ./reducedim.jl:330 [inlined] [36] sample_chains(turing::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, turing_model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#turing_model##0"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.var"#ll_data#data_loglike##4"{Semiparametric, ExperimentData{Matrix{Float64}}}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext}) @ TuringExt ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:77 [37] _estimate_parameters(turing::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, problem::BossProblem{typeof(Main.InputValues.OBJ_FUNC)}, options::BossOptions; return_all::Bool) @ TuringExt ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:48 [38] _estimate_parameters @ ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:38 [inlined] [39] estimate_parameters(turing::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, problem::BossProblem{typeof(Main.InputValues.OBJ_FUNC)}, options::BossOptions; return_all::Bool) @ TuringExt ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:34 [40] estimate_parameters @ ~/.julia/packages/BOSS/UEGTN/ext/TuringExt.jl:23 [inlined] [41] estimate_parameters!(problem::BossProblem{typeof(Main.InputValues.OBJ_FUNC)}, model_fitter::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; options::BossOptions) @ BOSS ~/.julia/packages/BOSS/UEGTN/src/bo.jl:83 [42] estimate_parameters! @ ~/.julia/packages/BOSS/UEGTN/src/bo.jl:81 [inlined] [43] bo!(problem::BossProblem{typeof(Main.InputValues.OBJ_FUNC)}; model_fitter::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, acq_maximizer::SamplingAM, term_cond::IterLimit, options::BossOptions) @ BOSS ~/.julia/packages/BOSS/UEGTN/src/bo.jl:37 [44] bo! @ ~/.julia/packages/BOSS/UEGTN/src/bo.jl:30 [inlined] [45] (::var"#create_problem##2#create_problem##3"{IterLimit, BossOptions, SamplingAM, TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, BossProblem{typeof(Main.InputValues.OBJ_FUNC)}})() @ Main ~/.julia/packages/BOSS/UEGTN/test/combinatorial/dummy_problem.jl:22 [46] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined] [47] macro expansion @ ~/.julia/packages/BOSS/UEGTN/test/combinatorial/runtests.jl:23 [inlined] [48] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [49] macro expansion @ ~/.julia/packages/BOSS/UEGTN/test/combinatorial/runtests.jl:18 [inlined] [50] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [51] top-level scope @ ~/.julia/packages/BOSS/UEGTN/test/combinatorial/runtests.jl:11 [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [16.380251675527326] : [1.2786839452484982, 0.5233764974557428] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [20.0] : [-4.844035358690695, 2.7198308966242455] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [18.712108903198487] : [6.182404290385837, 1.9455349052028679] [ Info: Estimating model parameters ... Test Summary: | Pass Fail Error Total Time BOSS TESTS | 286 1 5 292 10m28.9s Code quality (Aqua.jl) | 10 1 11 4m40.6s Method ambiguity | 1 1 11.3s Unbound type parameters | 1 1 0.1s Undefined exports | 1 1 0.0s Compare Project.toml and test/Project.toml | 1 1 0.3s Stale dependencies | 1 1 9.1s Compat bounds | 4 4 0.6s Piracy | 1 1 0.3s Persistent tasks | 1 1 4m06.0s Unit Tests | 262 1 263 3m32.2s acquisitions | 47 47 35.8s models | 87 87 1m46.6s posterior.jl | 1 1 37.5s average_mean(posteriors) | 1 1 37.5s term_conds | 2 2 1.0s types | 76 76 11.2s utils | 50 50 18.9s Combinatorial Tests | 14 4 18 1m53.0s Test 1 | 1 1 4.1s Test 2 | 1 1 12.5s Test 3 | 1 1 4.8s Test 4 | 1 1 34.8s Test 5 | 1 1 4.9s Test 6 | 1 1 5.0s Test 7 | 1 1 10.6s Test 8 | 1 1 8.5s Test 9 | 1 1 4.4s Test 10 | 1 1 3.1s Test 11 | 1 1 5.2s Test 12 | 1 1 4.2s Test 13 | 1 1 3.3s Test 14 | 1 1 2.5s Test 15 | 1 1 0.4s Test 16 | 1 1 0.7s Test 17 | 1 1 3.5s Test 18 | 1 1 0.0s RNG of the outermost testset: Random.Xoshiro(0x93cfa46a4af8c72b, 0x60b0e2a0b44da749, 0x79a0e6a25e45fc7a, 0x3ef1bf48243d6d6b, 0xcea308713ceda955) ERROR: LoadError: Some tests did not pass: 286 passed, 1 failed, 5 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/BOSS/UEGTN/test/runtests.jl:17 Testing failed after 666.22s ERROR: LoadError: Package BOSS errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.13/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/v1.13/Pkg/src/Operations.jl:2672 [3] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2521 [inlined] [4] 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/v1.13/Pkg/src/API.jl:538 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:515 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:168 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:157 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:156 [9] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:156 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:155 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [12] include(mod::Module, _path::String) @ Base ./Base.jl:311 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:320 [14] _start() @ Base ./client.jl:553 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 1078.09s: package tests unexpectedly errored