Package evaluation of BOSS on Julia 1.13.0-DEV.971 (04e26c5eae*) started at 2025-08-10T21:48:41.220


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 9.66s


################################################################################
# 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 v1.4.3
  [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 v3.36.0
  [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 v1.4.0
  [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 v3.5.1+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 5.94s


################################################################################
# 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 358.13s


################################################################################
# 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_HiA7Ao/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_HiA7Ao/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 v0.3.14
  [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 v3.36.0
  [f2b01f46] + Roots v2.2.8
  [7e49a35a] + RuntimeGeneratedFunctions v0.5.15
  [26aad666] + SSMProblems v0.5.1
  [0bca4576] + SciMLBase v2.108.0
  [c0aeaf25] + SciMLOperators v1.4.0
  [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 v3.5.1+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_HiA7Ao/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_HiA7Ao/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 v0.3.14
  [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] Preferences v1.4.3
  [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
  [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 v3.36.0
  [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
  [26aad666] SSMProblems v0.5.1
  [0bca4576] SciMLBase v2.108.0
  [c0aeaf25] SciMLOperators v1.4.0
  [53ae85a6] SciMLStructures v1.7.0
  [30f210dd] ScientificTypesBase v3.0.0
  [efcf1570] Setfield v1.1.2
  [a2af1166] SortingAlgorithms v1.2.2
  [9f842d2f] SparseConnectivityTracer v1.0.0
  [dc90abb0] SparseInverseSubset v0.1.2
  [0a514795] SparseMatrixColorings v0.4.21
  [276daf66] SpecialFunctions v2.5.1
  [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
  [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
  [09ab397b] StructArrays v0.7.1
  [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
  [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
  [700de1a5] ZygoteRules v0.2.7
  [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
  [efe28fd5] OpenSpecFun_jll v0.5.6+0
  [eead6e0c] PRIMA_jll v0.7.1+0
  [f50d1b31] Rmath_jll v0.5.1+0
  [1317d2d5] oneTBB_jll v2022.0.0+0
  [0dad84c5] ArgTools v1.1.2
  [56f22d72] Artifacts v1.11.0
  [2a0f44e3] Base64 v1.11.0
  [ade2ca70] Dates v1.11.0
  [8ba89e20] Distributed v1.11.0
  [f43a241f] Downloads v1.7.0
  [7b1f6079] FileWatching v1.11.0
  [9fa8497b] Future v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0
  [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
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  [14a3606d] MozillaCACerts_jll v2025.7.15
  [4536629a] OpenBLAS_jll v0.3.29+0
  [05823500] OpenLibm_jll v0.8.5+0
  [458c3c95] OpenSSL_jll v3.5.1+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...
   6567.0 ms  ✓ NamedArrays
   1682.6 ms  ✓ StructArrays → StructArraysStaticArraysExt
   1678.8 ms  ✓ BangBang → BangBangStructArraysExt
   1996.4 ms  ✓ ArrayInterface → ArrayInterfaceChainRulesExt
   3247.7 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsStructArraysExt
   4308.1 ms  ✓ ForwardDiff → ForwardDiffStaticArraysExt
   2147.1 ms  ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt
   4306.3 ms  ✓ LogDensityProblemsAD → LogDensityProblemsADForwardDiffExt
   3360.5 ms  ✓ Interpolations → InterpolationsForwardDiffExt
   3735.3 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsForwardDiffExt
   7979.5 ms  ✓ AdvancedHMC
   4794.6 ms  ✓ AbstractPPL
   1842.5 ms  ✓ OptimizationBase → OptimizationForwardDiffExt
   5190.6 ms  ✓ Distributions → DistributionsDensityInterfaceExt
   6639.1 ms  ✓ AdvancedVI
   6419.0 ms  ✓ MCMCDiagnosticTools
   6686.5 ms  ✓ SSMProblems
   7234.8 ms  ✓ AdvancedMH
   6596.9 ms  ✓ EllipticalSliceSampling
   4763.3 ms  ✓ NLSolversBase
   4616.5 ms  ✓ AdvancedHMC → AdvancedHMCADTypesExt
  24340.9 ms  ✓ DynamicPPL
   5799.5 ms  ✓ AdvancedVI → AdvancedVIBijectorsExt
  21359.4 ms  ✓ MCMCChains
   7345.2 ms  ✓ AdvancedPS
   6153.1 ms  ✓ AdvancedMH → AdvancedMHStructArraysExt
   6491.8 ms  ✓ AdvancedMH → AdvancedMHForwardDiffExt
   7091.6 ms  ✓ LineSearches
   7880.6 ms  ✓ DynamicPPL → DynamicPPLChainRulesCoreExt
   7681.9 ms  ✓ DynamicPPL → DynamicPPLForwardDiffExt
   9638.8 ms  ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt
   9670.9 ms  ✓ AdvancedMH → AdvancedMHMCMCChainsExt
  10758.4 ms  ✓ DynamicPPL → DynamicPPLMCMCChainsExt
   6750.8 ms  ✓ AdvancedPS → AdvancedPSLibtaskExt
  11873.5 ms  ✓ Optim
  30761.3 ms  ✓ OptimizationOptimJL
  22301.7 ms  ✓ Turing
  17157.7 ms  ✓ Turing → TuringOptimExt
  38 dependencies successfully precompiled in 313 seconds. 260 already precompiled.
  1 dependency had output during precompilation:
┌ AdvancedHMC → AdvancedHMCADTypesExt
│  WARNING: Constructor for type "Hamiltonian" was extended in `AdvancedHMCADTypesExt` without explicit qualification or import.
│    NOTE: Assumed "Hamiltonian" refers to `AdvancedHMC.Hamiltonian`. This behavior is deprecated and may differ in future versions.
│    NOTE: This behavior may have differed in Julia versions prior to 1.12.
│    Hint: If you intended to create a new generic function of the same name, use `function Hamiltonian end`.
│    Hint: To silence the warning, qualify `Hamiltonian` as `AdvancedHMC.Hamiltonian` in the method signature or explicitly `import AdvancedHMC: Hamiltonian`.
└  
Precompiling packages...
  23427.1 ms  ✓ BOSS → TuringExt
  1 dependency successfully precompiled in 27 seconds. 307 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...
   1340.9 ms  ✓ PRIMA_jll
   1845.5 ms  ✓ PRIMA
   6026.4 ms  ✓ OptimizationPRIMA
  3 dependencies successfully precompiled in 10 seconds. 112 already precompiled.
[ Info: Running Combinatorial Tests ...
[ Info: Estimating model parameters ...
[ Info: Maximizing acquisition function ...
[ Info: Evaluating objective function ...
[ Info: New data point: [18.246696454875625] : [2.141917550046474, 1.6419101169655839]
[ Info: Estimating model parameters ...
[ Info: Maximizing acquisition function ...
[ Info: Evaluating objective function ...
[ Info: New data point: [14.429235380351306] : [-3.6908807217841715, -0.24939987621523071]
[ 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: [18.0] : [-0.7124304764138021, 1.7014411522232498]
[ Info: Estimating model parameters ...
[ Info: Estimating model parameters ...
[ Info: Maximizing acquisition function ...
[ Info: Evaluating objective function ...
[ Info: New data point: [18.849999999999998] : [6.520176433444036, 2.0695536887008976]
[ 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: [11.0] : [-3.0752485492962935, -1.568871245597584]
[ 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: [12.0] : [1.2851399716816865, -1.1635972470908373]
[ 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: [15.0] : [0.7295275853916509, 0.043438952359500904]
[ 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: [10.340440932657948] : [-0.5888741472617633, -1.7250755692248319]
[ Info: Estimating model parameters ...
[ Info: Estimating model parameters ...
[ Info: Maximizing acquisition function ...
[ Info: Evaluating objective function ...
[ Info: New data point: [1.6806116972697165] : [-1.1840685048490884, -3.5373641827690285]
[ Info: Estimating model parameters ...
[ Info: Estimating model parameters ...
[ Info: Maximizing acquisition function ...
[ Info: Evaluating objective function ...
[ Info: New data point: [18.246696454875625] : [2.141917550046474, 1.6419101169655839]
[ Info: Estimating model parameters ...
Test Summary:                                  | Pass  Fail  Error  Total      Time
BOSS TESTS                                     |  286     1      5    292  12m43.0s
  Code quality (Aqua.jl)                       |   10     1            11   5m17.1s
    Method ambiguity                           |    1                   1     16.4s
    Unbound type parameters                    |    1                   1      0.2s
    Undefined exports                          |    1                   1      0.0s
    Compare Project.toml and test/Project.toml |    1                   1      0.4s
    Stale dependencies                         |    1                   1     11.7s
    Compat bounds                              |    4                   4      0.7s
    Piracy                                     |    1                   1      0.3s
    Persistent tasks                           |          1             1   4m31.0s
  Unit Tests                                   |  262            1    263   4m28.5s
    acquisitions                               |   47                  47     47.2s
    models                                     |   87                  87   2m13.0s
    posterior.jl                               |                 1      1     46.7s
      average_mean(posteriors)                 |                 1      1     46.7s
    term_conds                                 |    2                   2      1.4s
    types                                      |   76                  76     14.1s
    utils                                      |   50                  50     24.3s
  Combinatorial Tests                          |   14            4     18   2m25.9s
    Test 1                                     |    1                   1      5.1s
    Test 2                                     |                 1      1     17.5s
    Test 3                                     |    1                   1      6.1s
    Test 4                                     |    1                   1     43.0s
    Test 5                                     |    1                   1      6.4s
    Test 6                                     |    1                   1      6.5s
    Test 7                                     |    1                   1     14.2s
    Test 8                                     |                 1      1     11.5s
    Test 9                                     |    1                   1      6.4s
    Test 10                                    |    1                   1      3.0s
    Test 11                                    |                 1      1      6.8s
    Test 12                                    |    1                   1      5.8s
    Test 13                                    |    1                   1      4.6s
    Test 14                                    |    1                   1      3.4s
    Test 15                                    |                 1      1      0.6s
    Test 16                                    |    1                   1      1.1s
    Test 17                                    |    1                   1      3.5s
    Test 18                                    |    1                   1      0.0s
RNG of the outermost testset: Random.Xoshiro(0xa9e511fc35fefc18, 0xaf20bfdd06ae3fb8, 0xf5775509d0917937, 0xd6f86d5a4b5d0126, 0x6366f83c6c6c215d)
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 1116.07s

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:2695
  [3] test
    @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2544 [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 1557.73s: package tests unexpectedly errored